id: 1 unit: def load() file: graphlearn_torch/python/data/table_dataset.py start line: 0 end line: 0 size: 98 LOC McCabe index: 17 number of parameters: 14 id: 2 unit: def _sampling_worker_loop() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 94 LOC McCabe index: 18 number of parameters: 11 id: 3 unit: def build_partition_feature() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 94 LOC McCabe index: 14 number of parameters: 11 id: 4 unit: def init_rpc() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 92 LOC McCabe index: 22 number of parameters: 5 id: 5 unit: def __init__() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 88 LOC McCabe index: 14 number of parameters: 14 id: 6 unit: std::tuple ToCSR() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 63 end line: 143 size: 70 LOC McCabe index: 14 number of parameters: 6 id: 7 unit: def partition() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 55 LOC McCabe index: 8 number of parameters: 1 id: 8 unit: def __init__() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 50 LOC McCabe index: 12 number of parameters: 13 id: 9 unit: def __init__() file: graphlearn_torch/python/distributed/dist_graph.py start line: 0 end line: 0 size: 49 LOC McCabe index: 16 number of parameters: 10 id: 10 unit: def all_gather() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 48 LOC McCabe index: 7 number of parameters: 2 id: 11 unit: std::tuple CPURandomNegativeSampler::Sample() file: graphlearn_torch/csrc/cpu/random_negative_sampler.cc start line: 24 end line: 74 size: 48 LOC McCabe index: 8 number of parameters: 3 id: 12 unit: def __init__() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 47 LOC McCabe index: 13 number of parameters: 9 id: 13 unit: def __init__() file: graphlearn_torch/python/distributed/dist_link_neighbor_loader.py start line: 0 end line: 0 size: 46 LOC McCabe index: 9 number of parameters: 17 id: 14 unit: def __init__() file: graphlearn_torch/python/distributed/dist_options.py start line: 0 end line: 0 size: 44 LOC McCabe index: 9 number of parameters: 20 id: 15 unit: def partition() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 44 LOC McCabe index: 14 number of parameters: 3 id: 16 unit: def __init__() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 42 LOC McCabe index: 6 number of parameters: 6 id: 17 unit: def __init__() file: graphlearn_torch/python/distributed/dist_neighbor_loader.py start line: 0 end line: 0 size: 41 LOC McCabe index: 8 number of parameters: 15 id: 18 unit: HeteroCOO CPUHeteroInducer::InduceNext() file: graphlearn_torch/csrc/cpu/inducer.cc start line: 138 end line: 181 size: 41 LOC McCabe index: 5 number of parameters: 1 id: 19 unit: def __init__() file: graphlearn_torch/python/distributed/dist_options.py start line: 0 end line: 0 size: 40 LOC McCabe index: 9 number of parameters: 9 id: 20 unit: torch::Tensor LoadEdgeFeatures() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 218 end line: 260 size: 37 LOC McCabe index: 7 number of parameters: 4 id: 21 unit: torch::Tensor LoadVertexFeatures() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 174 end line: 215 size: 36 LOC McCabe index: 7 number of parameters: 4 id: 22 unit: def test_quiver_ogbnproducts() file: benchmarks/api/bench_feature.py start line: 0 end line: 0 size: 34 LOC McCabe index: 2 number of parameters: 1 id: 23 unit: def partition() file: graphlearn_torch/python/distributed/dist_table_dataset.py start line: 0 end line: 0 size: 34 LOC McCabe index: 6 number of parameters: 1 id: 24 unit: def __init__() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 34 LOC McCabe index: 8 number of parameters: 9 id: 25 unit: def test_glt_ogbnproducts() file: benchmarks/api/bench_feature.py start line: 0 end line: 0 size: 33 LOC McCabe index: 2 number of parameters: 1 id: 26 unit: def merge_hetero_sampler_output() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 32 LOC McCabe index: 16 number of parameters: 5 id: 27 unit: def _build_features() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 31 LOC McCabe index: 9 number of parameters: 7 id: 28 unit: def test_quiver_ogbnproducts() file: benchmarks/api/bench_sampler.py start line: 0 end line: 0 size: 30 LOC McCabe index: 4 number of parameters: 1 id: 29 unit: def _collate_fn() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 30 LOC McCabe index: 10 number of parameters: 3 id: 30 unit: def lazy_init() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 30 LOC McCabe index: 8 number of parameters: 1 id: 31 unit: def _collate_fn() file: graphlearn_torch/python/loader/node_loader.py start line: 0 end line: 0 size: 29 LOC McCabe index: 10 number of parameters: 3 id: 32 unit: def init() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 29 LOC McCabe index: 2 number of parameters: 1 id: 33 unit: def test_glt_ogbnproducts() file: benchmarks/api/bench_sampler.py start line: 0 end line: 0 size: 28 LOC McCabe index: 3 number of parameters: 1 id: 34 unit: void CPUSubGraphOp::Induce() file: graphlearn_torch/csrc/cpu/subgraph_op.cc start line: 61 end line: 89 size: 28 LOC McCabe index: 7 number of parameters: 5 id: 35 unit: def __init__() file: graphlearn_torch/python/distributed/dist_subgraph_loader.py start line: 0 end line: 0 size: 27 LOC McCabe index: 2 number of parameters: 15 id: 36 unit: def _split_and_init() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 26 LOC McCabe index: 7 number of parameters: 1 id: 37 unit: def _request_some() file: graphlearn_torch/python/channel/remote_channel.py start line: 0 end line: 0 size: 26 LOC McCabe index: 5 number of parameters: 1 id: 38 unit: torch::Tensor ArrowArray2Tensor() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 146 end line: 171 size: 26 LOC McCabe index: 5 number of parameters: 2 id: 39 unit: def init() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 24 LOC McCabe index: 4 number of parameters: 1 id: 40 unit: void CPUWeightedSampler::CSRRowWiseSample() file: graphlearn_torch/csrc/cpu/weighted_sampler.cc start line: 121 end line: 144 size: 24 LOC McCabe index: 3 number of parameters: 11 id: 41 unit: void CPUWeightedSampler::WeightedSample() file: graphlearn_torch/csrc/cpu/weighted_sampler.cc start line: 167 end line: 191 size: 24 LOC McCabe index: 3 number of parameters: 9 id: 42 unit: std::shared_ptr GetGraphFromVineyard() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 32 end line: 61 size: 24 LOC McCabe index: 8 number of parameters: 2 id: 43 unit: void Graph::InitCPUGraphFromCSR() file: graphlearn_torch/csrc/cpu/graph.cc start line: 21 end line: 46 size: 23 LOC McCabe index: 3 number of parameters: 4 id: 44 unit: SubGraph CPUSubGraphOp::NodeSubGraph() file: graphlearn_torch/csrc/cpu/subgraph_op.cc start line: 20 end line: 44 size: 23 LOC McCabe index: 2 number of parameters: 2 id: 45 unit: def __init__() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 22 LOC McCabe index: 1 number of parameters: 7 id: 46 unit: def convert_to_tensor() file: graphlearn_torch/python/utils/tensor.py start line: 0 end line: 0 size: 22 LOC McCabe index: 10 number of parameters: 2 id: 47 unit: def lazy_init_sampler() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 22 LOC McCabe index: 9 number of parameters: 1 id: 48 unit: TensorMap CPUHeteroInducer::InitNode() file: graphlearn_torch/csrc/cpu/inducer.cc start line: 93 end line: 114 size: 22 LOC McCabe index: 4 number of parameters: 1 id: 49 unit: void CPURandomSampler::CSRRowWiseSample() file: graphlearn_torch/csrc/cpu/random_sampler.cc start line: 114 end line: 135 size: 22 LOC McCabe index: 3 number of parameters: 10 id: 50 unit: void CPURandomSampler::UniformSample() file: graphlearn_torch/csrc/cpu/random_sampler.cc start line: 155 end line: 177 size: 22 LOC McCabe index: 3 number of parameters: 7 id: 51 unit: def assign_server_by_order() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 21 LOC McCabe index: 7 number of parameters: 0 id: 52 unit: void CPUHeteroInducer::InsertGlob2Local() file: graphlearn_torch/csrc/cpu/inducer.cc start line: 116 end line: 136 size: 21 LOC McCabe index: 4 number of parameters: 2 id: 53 unit: def test_pyg_ogbnproducts() file: benchmarks/api/bench_feature.py start line: 0 end line: 0 size: 20 LOC McCabe index: 2 number of parameters: 0 id: 54 unit: def load() file: graphlearn_torch/python/distributed/dist_table_dataset.py start line: 0 end line: 0 size: 20 LOC McCabe index: 1 number of parameters: 0 id: 55 unit: def __init__() file: graphlearn_torch/python/distributed/dist_options.py start line: 0 end line: 0 size: 20 LOC McCabe index: 2 number of parameters: 13 id: 56 unit: def rpc_register() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 20 LOC McCabe index: 5 number of parameters: 1 id: 57 unit: def share_ipc() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 20 LOC McCabe index: 6 number of parameters: 1 id: 58 unit: def lazy_init_with_ipc_handle() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 1 id: 59 unit: def lazy_init_neg_sampler() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 20 LOC McCabe index: 6 number of parameters: 1 id: 60 unit: def sample_pyg_v1() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 2 id: 61 unit: void CPUWeightedSampler::CSRRowWiseSample() file: graphlearn_torch/csrc/cpu/weighted_sampler.cc start line: 100 end line: 119 size: 20 LOC McCabe index: 3 number of parameters: 9 id: 62 unit: def test_pyg_ogbnproducts() file: benchmarks/api/bench_sampler.py start line: 0 end line: 0 size: 19 LOC McCabe index: 3 number of parameters: 0 id: 63 unit: def __init__() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 19 LOC McCabe index: 1 number of parameters: 0 id: 64 unit: def rpc_sync_data_partitions() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 19 LOC McCabe index: 5 number of parameters: 2 id: 65 unit: def index_select() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 19 LOC McCabe index: 8 number of parameters: 2 id: 66 unit: void CPURandomSampler::CSRRowWiseSample() file: graphlearn_torch/csrc/cpu/random_sampler.cc start line: 94 end line: 112 size: 19 LOC McCabe index: 3 number of parameters: 8 id: 67 unit: size_t ShmQueueMeta::GetBlockToWrite() file: graphlearn_torch/csrc/shm_queue.cc start line: 81 end line: 99 size: 19 LOC McCabe index: 2 number of parameters: 4 id: 68 unit: ShmData ShmQueue::Dequeue() file: graphlearn_torch/csrc/shm_queue.cc start line: 216 end line: 236 size: 19 LOC McCabe index: 4 number of parameters: 1 id: 69 unit: def __init__() file: graphlearn_torch/python/distributed/dist_table_dataset.py start line: 0 end line: 0 size: 18 LOC McCabe index: 1 number of parameters: 0 id: 70 unit: def sort_by_in_degree() file: graphlearn_torch/python/data/reorder.py start line: 0 end line: 0 size: 18 LOC McCabe index: 3 number of parameters: 3 id: 71 unit: void CPURandomSampler::FillNbrsNum() file: graphlearn_torch/csrc/cpu/random_sampler.cc start line: 75 end line: 92 size: 18 LOC McCabe index: 3 number of parameters: 6 id: 72 unit: void CPUWeightedSampler::FillNbrsNum() file: graphlearn_torch/csrc/cpu/weighted_sampler.cc start line: 81 end line: 98 size: 18 LOC McCabe index: 3 number of parameters: 6 id: 73 unit: void CPUWeightedSampler::WeightedSample() file: graphlearn_torch/csrc/cpu/weighted_sampler.cc start line: 147 end line: 165 size: 18 LOC McCabe index: 3 number of parameters: 6 id: 74 unit: def __init__() file: graphlearn_torch/python/loader/link_neighbor_loader.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 14 id: 75 unit: def wait_and_shutdown_server() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 17 LOC McCabe index: 3 number of parameters: 0 id: 76 unit: def _get_worker_seeds_ranges() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 1 id: 77 unit: def __iter__() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 1 id: 78 unit: def __init__() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 0 id: 79 unit: def shutdown_client() file: graphlearn_torch/python/distributed/dist_client.py start line: 0 end line: 0 size: 17 LOC McCabe index: 6 number of parameters: 0 id: 80 unit: def apply_to_all_tensor() file: graphlearn_torch/python/utils/tensor.py start line: 0 end line: 0 size: 17 LOC McCabe index: 7 number of parameters: 4 id: 81 unit: def load_and_concatenate_tensors() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 17 LOC McCabe index: 7 number of parameters: 2 id: 82 unit: def recv() file: graphlearn_torch/python/channel/remote_channel.py start line: 0 end line: 0 size: 17 LOC McCabe index: 6 number of parameters: 2 id: 83 unit: void ShmQueue::Enqueue() file: graphlearn_torch/csrc/shm_queue.cc start line: 193 end line: 214 size: 17 LOC McCabe index: 3 number of parameters: 2 id: 84 unit: def __init__() file: graphlearn_torch/python/loader/neighbor_loader.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 12 id: 85 unit: def fetch_one_sampled_message() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 16 LOC McCabe index: 6 number of parameters: 2 id: 86 unit: def shutdown() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 16 LOC McCabe index: 7 number of parameters: 1 id: 87 unit: def __init__() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 7 id: 88 unit: def __init__() file: graphlearn_torch/python/partition/frequency_partitioner.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 0 id: 89 unit: torch::Tensor CPUInducer::InitNode() file: graphlearn_torch/csrc/cpu/inducer.cc start line: 25 end line: 40 size: 16 LOC McCabe index: 3 number of parameters: 1 id: 90 unit: void CPURandomSampler::UniformSample() file: graphlearn_torch/csrc/cpu/random_sampler.cc start line: 137 end line: 153 size: 16 LOC McCabe index: 3 number of parameters: 4 id: 91 unit: void ShmQueueMeta::ReleaseBlock() file: graphlearn_torch/csrc/shm_queue.cc start line: 105 end line: 120 size: 16 LOC McCabe index: 4 number of parameters: 1 id: 92 unit: def shutdown() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 15 LOC McCabe index: 6 number of parameters: 1 id: 93 unit: def _set_ntypes_and_etypes() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 3 id: 94 unit: def _set_client_context() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 4 id: 95 unit: void ShmQueueMeta::Initialize() file: graphlearn_torch/csrc/shm_queue.cc start line: 57 end line: 71 size: 15 LOC McCabe index: 2 number of parameters: 2 id: 96 unit: def __init__() file: graphlearn_torch/python/loader/subgraph_loader.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 11 id: 97 unit: def process() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 3 id: 98 unit: def share_ipc() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 99 unit: def _set_server_context() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 4 id: 100 unit: void CPUSubGraphOp::InitNode() file: graphlearn_torch/csrc/cpu/subgraph_op.cc start line: 46 end line: 59 size: 14 LOC McCabe index: 3 number of parameters: 2 id: 101 unit: def wrap_torch_future() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 1 id: 102 unit: def add_task() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 13 LOC McCabe index: 3 number of parameters: 3 id: 103 unit: def _set_worker_context() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 3 id: 104 unit: def __getitem__() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 2 id: 105 unit: def create_inducer() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 2 id: 106 unit: def __init__() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 0 id: 107 unit: def __init__() file: graphlearn_torch/python/partition/random_partitioner.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 0 id: 108 unit: def __next__() file: graphlearn_torch/python/loader/neighbor_loader.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 1 id: 109 unit: def _role_based_gather_to_leader() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 3 id: 110 unit: def communicate_node_num() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 1 id: 111 unit: def produce_all() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 1 id: 112 unit: def _cat_feature_cache() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 3 id: 113 unit: def __init__() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 4 id: 114 unit: def cast() file: graphlearn_torch/python/utils/mixin.py start line: 0 end line: 0 size: 12 LOC McCabe index: 7 number of parameters: 3 id: 115 unit: TensorMap LoadTensorMapFrom() file: graphlearn_torch/csrc/tensor_map.cc start line: 120 end line: 131 size: 12 LOC McCabe index: 2 number of parameters: 2 id: 116 unit: torch::Tensor VineyardFragHandle::GetFidFromGid() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 289 end line: 302 size: 12 LOC McCabe index: 2 number of parameters: 1 id: 117 unit: torch::Tensor VineyardFragHandle::GetInnerVertices() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 304 end line: 315 size: 12 LOC McCabe index: 2 number of parameters: 1 id: 118 unit: def __init__() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 3 id: 119 unit: def call() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 3 id: 120 unit: def get_edge_index() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 121 unit: def init_server() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 10 id: 122 unit: def get_edge_partitions() file: graphlearn_torch/python/distributed/dist_graph.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 123 unit: def __init__() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 7 id: 124 unit: def load() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 0 id: 125 unit: def init_node_features() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 0 id: 126 unit: def __getitem__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 3 id: 127 unit: void ShmQueue::ShmQueueMetaDeleter::operator() file: graphlearn_torch/csrc/shm_queue.cc start line: 249 end line: 259 size: 11 LOC McCabe index: 4 number of parameters: 0 id: 128 unit: def __init__() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 7 id: 129 unit: def __next__() file: graphlearn_torch/python/loader/subgraph_loader.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 1 id: 130 unit: def _broadcast_pb() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 3 id: 131 unit: def _call_func_on_server() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 3 id: 132 unit: def on_done() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 1 id: 133 unit: def _get_seeds_indexes() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 1 id: 134 unit: def sample() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 135 unit: def __next__() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 1 id: 136 unit: def async_request_server() file: graphlearn_torch/python/distributed/dist_client.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 4 id: 137 unit: def get_node_types() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 138 unit: def parse_size() file: graphlearn_torch/python/utils/units.py start line: 0 end line: 0 size: 10 LOC McCabe index: 6 number of parameters: 1 id: 139 unit: def format_hetero_sampler_output() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 10 LOC McCabe index: 6 number of parameters: 3 id: 140 unit: def _set_num_neighbors_and_num_hops() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 10 LOC McCabe index: 6 number of parameters: 2 id: 141 unit: uint32_t getSeed() file: graphlearn_torch/include/common.h start line: 48 end line: 56 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 142 unit: def __init__() file: graphlearn_torch/python/distributed/dist_options.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 7 id: 143 unit: def __init__() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 144 unit: def destroy_sampling_producer() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 145 unit: def start_new_epoch_sampling() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 3 id: 146 unit: def rpc_global_request_async() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 5 id: 147 unit: def get_node_partitions() file: graphlearn_torch/python/distributed/dist_graph.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 148 unit: def load_vineyard() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 149 unit: def from_ipc_handle() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 3 id: 150 unit: def init_graph() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 151 unit: def load_vineyard() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 152 unit: def init_edge_features() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 153 unit: def assign_device() file: graphlearn_torch/python/utils/device.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 154 unit: def id2idx() file: graphlearn_torch/python/utils/tensor.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 155 unit: def __init__() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 9 LOC McCabe index: 6 number of parameters: 4 id: 156 unit: void TensorMapSerializer::Serialize() file: graphlearn_torch/csrc/tensor_map.cc start line: 143 end line: 151 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 157 unit: def get_gcc_use_cxx_abi() file: setup.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 0 id: 158 unit: def reset() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 159 unit: def get_node_partition_id() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 3 id: 160 unit: def get_edge_size() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 161 unit: def _require_initialized() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 162 unit: def _role_based_broadcast_to_followers() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 163 unit: def rpc_request_async() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 164 unit: def on_done() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 165 unit: def __init__() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 166 unit: def init_client() file: graphlearn_torch/python/distributed/dist_client.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 8 id: 167 unit: def to_coo() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 168 unit: def gid2fid() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 169 unit: def v6d_id_select() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 170 unit: def _check_and_set_device() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 171 unit: def __init__() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 172 unit: def singleton() file: graphlearn_torch/python/utils/singleton.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 173 unit: def reverse_edge_type() file: graphlearn_torch/python/typing.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 174 unit: def share_memory() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 175 unit: def to() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 176 unit: def get_edge_index() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 8 LOC McCabe index: 5 number of parameters: 1 id: 177 unit: def lazy_init_subgraph_op() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 1 id: 178 unit: def reset() file: graphlearn_torch/python/channel/remote_channel.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 179 unit: void CPUHeteroInducer::Reset() file: graphlearn_torch/csrc/cpu/inducer.cc start line: 183 end line: 190 size: 8 LOC McCabe index: 3 number of parameters: 0 id: 180 unit: bool CPURandomNegativeSampler::EdgeInCSR() file: graphlearn_torch/csrc/cpu/random_negative_sampler.cc start line: 76 end line: 83 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 181 unit: int64_t GetFragVertexOffset() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 263 end line: 271 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 182 unit: bool Register() file: graphlearn_torch/include/func_factory.h start line: 41 end line: 47 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 183 unit: def to_hetero_data() file: graphlearn_torch/python/loader/transform.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 184 unit: def __init__() file: graphlearn_torch/python/loader/node_loader.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 5 id: 185 unit: def _partition_by_chunk() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 186 unit: def call() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 187 unit: def global_barrier() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 188 unit: def __init__() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 2 id: 189 unit: def get_to_worker() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 190 unit: def communicate_node_feats() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 191 unit: def __repr__() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 192 unit: def __eq__() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 2 id: 193 unit: def to_csc() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 194 unit: def to_csr() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 195 unit: def load_vertex_feature_from_vineyard() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 196 unit: def load_edge_feature_from_vineyard() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 197 unit: def __init__() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 5 id: 198 unit: def v6d_id_filter() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 199 unit: def cpu_get() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 200 unit: def share_ipc() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 201 unit: def get_graph() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 202 unit: def get_node_feature() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 203 unit: def get_edge_feature() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 204 unit: def get_node_label() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 2 id: 205 unit: def get_available_device() file: graphlearn_torch/python/utils/device.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 206 unit: def __init__() file: graphlearn_torch/python/sampler/negative_sampler.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 207 unit: def sample() file: graphlearn_torch/python/sampler/negative_sampler.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 4 id: 208 unit: def get_node_feat() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 209 unit: def get_edge_feat() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 210 unit: def _process_edge() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 3 id: 211 unit: void ShmQueueMeta::Finalize() file: graphlearn_torch/csrc/shm_queue.cc start line: 73 end line: 79 size: 7 LOC McCabe index: 2 number of parameters: 0 id: 212 unit: size_t GetTensorSerializedSize() file: graphlearn_torch/csrc/tensor_map.cc start line: 28 end line: 34 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 213 unit: size_t TensorMapSerializer::GetSerializedSize() file: graphlearn_torch/csrc/tensor_map.cc start line: 135 end line: 141 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 214 unit: uint32_t GetFragVertexNum() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 274 end line: 281 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 215 unit: auto Dispatch() file: graphlearn_torch/include/func_factory.h start line: 53 end line: 58 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 216 unit: void Dispatch() file: graphlearn_torch/include/func_factory.h start line: 64 end line: 69 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 217 unit: std::size_t operator() file: graphlearn_torch/include/types.h start line: 34 end line: 39 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 218 unit: void AllocateEdgeId() file: graphlearn_torch/include/graph.h start line: 115 end line: 120 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 219 unit: def to_data() file: graphlearn_torch/python/loader/transform.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 220 unit: def _set_worker_ranks() file: graphlearn_torch/python/distributed/dist_options.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 221 unit: def barrier() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 222 unit: def shutdown_rpc() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 223 unit: def get_local_graph() file: graphlearn_torch/python/distributed/dist_graph.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 224 unit: def __init__() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 225 unit: def wait_all() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 226 unit: def num_servers() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 227 unit: def num_clients() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 228 unit: def vineyard_to_csr() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 6 id: 229 unit: def __getitem__() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 2 id: 230 unit: def new_from_ipc() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 231 unit: def from_ipc_handle() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 232 unit: def get_edge_types() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 233 unit: def coo_to_csr() file: graphlearn_torch/python/utils/topo.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 234 unit: def coo_to_csc() file: graphlearn_torch/python/utils/topo.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 235 unit: def seed_everything() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 236 unit: def count_dict() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 237 unit: def get_free_port() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 238 unit: def append_tensor_to_file() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 239 unit: def save_ckpt() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 240 unit: def as_str() file: graphlearn_torch/python/typing.py start line: 0 end line: 0 size: 6 LOC McCabe index: 4 number of parameters: 2 id: 241 unit: def to() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 242 unit: def _aggregate_prob() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 4 id: 243 unit: def save_meta() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 244 unit: def save_feature_partition() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 245 unit: def save_feature_partition_chunk() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 246 unit: def save_feature_partition_cache() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 247 unit: def _process_node() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 248 unit: def __init__() file: graphlearn_torch/python/channel/shm_channel.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 249 unit: void ShmQueue::PinMemory() file: graphlearn_torch/csrc/shm_queue.cc start line: 242 end line: 247 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 250 unit: void SampleQueue::Enqueue() file: graphlearn_torch/csrc/sample_queue.cc start line: 20 end line: 25 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 251 unit: void Initialize() file: graphlearn_torch/include/shm_queue.h start line: 96 end line: 100 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 252 unit: def __next__() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 253 unit: def _update_part_val() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 254 unit: def shutdown() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 255 unit: def create_sampling_producer() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 256 unit: def global_all_gather() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 257 unit: def rpc_global_request() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 5 id: 258 unit: def shutdown_loop() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 259 unit: def run_task() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 260 unit: def _get_local_store() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 261 unit: def _stitch() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 262 unit: def share_memory_() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 263 unit: def get_fid_from_gid() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 264 unit: def get_frag_vertex_offset() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 265 unit: def get_frag_vertex_num() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 266 unit: def __init__() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 267 unit: def share_ipc() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 268 unit: def init_node_labels() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 269 unit: def ensure_device() file: graphlearn_torch/python/utils/device.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 270 unit: def tensor_equal_with_device() file: graphlearn_torch/python/utils/tensor.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 271 unit: def merge_dict() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 4 id: 272 unit: def load_ckpt() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 273 unit: def glt_ext_module() file: graphlearn_torch/python/utils/build_glt.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 274 unit: def __getitem__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 275 unit: def __init__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 276 unit: def sample_one_hop() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 277 unit: def save_graph_cache() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 278 unit: def save_graph_partition() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 279 unit: def get_edge_index() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 280 unit: def load_partition() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 281 unit: def __init__() file: graphlearn_torch/python/channel/remote_channel.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 282 unit: def send() file: graphlearn_torch/python/channel/remote_channel.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 283 unit: void ShmQueue::Enqueue() file: graphlearn_torch/csrc/shm_queue.cc start line: 187 end line: 191 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 284 unit: TensorMap TensorMapSerializer::Load() file: graphlearn_torch/csrc/tensor_map.cc start line: 165 end line: 169 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 285 unit: def _add_gnu_cpp_abi_flag() file: setup.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 286 unit: void Finalize() file: graphlearn_torch/include/shm_queue.h start line: 102 end line: 105 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 287 unit: inline void Check() file: graphlearn_torch/include/common.h start line: 25 end line: 28 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 288 unit: inline void CheckEq() file: graphlearn_torch/include/common.h start line: 31 end line: 34 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 289 unit: void setSeed() file: graphlearn_torch/include/common.h start line: 43 end line: 46 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 290 unit: void SetEdgeId() file: graphlearn_torch/include/graph.h start line: 110 end line: 113 size: 4 LOC McCabe index: 3 number of parameters: 2 id: 291 unit: def _assign_worker_devices() file: graphlearn_torch/python/distributed/dist_options.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 292 unit: def _node_pfn() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 293 unit: def _partition_graph() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 294 unit: def _partition_node_feat() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 295 unit: def _partition_edge_feat() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 296 unit: def __init__() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 297 unit: def __init__() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 298 unit: def sample_from_nodes() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 299 unit: def sample_from_edges() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 300 unit: def subgraph() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 301 unit: def _acquire_inducer() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 302 unit: def _stitch_sample_results() file: graphlearn_torch/python/distributed/dist_neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 303 unit: def wait_for_exit() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 304 unit: def exit() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 305 unit: def get_dataset_meta() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 306 unit: def get_rpc_current_group_worker_names() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 307 unit: def rpc_request() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 308 unit: def rpc_global_request_by_rank() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 309 unit: def local_get() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 310 unit: def get_all2all() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 311 unit: def async_get() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 312 unit: def _local_selecting_get() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 313 unit: def remote_selecting_prepare() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 314 unit: def communicate_node_id() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 315 unit: def remote_selecting_get_all2all() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 316 unit: def _remote_selecting_get() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 317 unit: def __del__() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 318 unit: def random_node_split() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 319 unit: def node_feat_pb() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 320 unit: def edge_feat_pb() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 321 unit: def random_split() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 322 unit: def request_server() file: graphlearn_torch/python/distributed/dist_client.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 323 unit: def init_worker_group() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 324 unit: def from_ipc_handle() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 325 unit: def graph_handler() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 326 unit: def random_node_split() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 327 unit: def random_split() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 328 unit: def ptr2ind() file: graphlearn_torch/python/utils/topo.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 329 unit: def to() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 3 id: 330 unit: def share_memory() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 331 unit: def to() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 332 unit: def sample_from_nodes() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 333 unit: def sample_from_edges() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 334 unit: def to_local_sampler_input() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 335 unit: def to_local_sampler_input() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 336 unit: def to_local_sampler_input() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 337 unit: def sample_from_nodes() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 338 unit: def sample_from_edges() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 339 unit: def sample_prob() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 340 unit: def _sample_prob() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 341 unit: def _hetero_sample_prob() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 342 unit: def get_inducer() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 343 unit: def save_node_pb() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 344 unit: def save_edge_pb() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 345 unit: def _partition_graph() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 346 unit: def _partition_and_save_node_feat() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 347 unit: def _partition_and_save_edge_feat() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 348 unit: def cat_feature_cache() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 349 unit: def id_filter() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 3 id: 350 unit: def _get_chunk_probs_sum() file: graphlearn_torch/python/partition/frequency_partitioner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 351 unit: def recv() file: graphlearn_torch/python/channel/shm_channel.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 3 id: 352 unit: void CPUInducer::Reset() file: graphlearn_torch/csrc/cpu/inducer.cc start line: 77 end line: 80 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 353 unit: return std::make_tuple() file: graphlearn_torch/csrc/cpu/stitch_sample_results.cc start line: 78 end line: 81 size: 4 LOC McCabe index: 2 number of parameters: 0 id: 354 unit: TensorMap TensorMapSerializer::Load() file: graphlearn_torch/csrc/tensor_map.cc start line: 153 end line: 156 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 355 unit: TensorMap SampleQueue::Dequeue() file: graphlearn_torch/csrc/sample_queue.cc start line: 27 end line: 30 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 356 unit: size_t Length() file: graphlearn_torch/include/shm_queue.h start line: 54 end line: 56 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 357 unit: void WaitForWriting() file: graphlearn_torch/include/shm_queue.h start line: 107 end line: 109 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 358 unit: void NotifyToWrite() file: graphlearn_torch/include/shm_queue.h start line: 111 end line: 113 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 359 unit: void WaitForReading() file: graphlearn_torch/include/shm_queue.h start line: 115 end line: 117 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 360 unit: void NotifyToRead() file: graphlearn_torch/include/shm_queue.h start line: 119 end line: 121 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 361 unit: int ShmId() file: graphlearn_torch/include/shm_queue.h start line: 217 end line: 219 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 362 unit: void PinMemory() file: graphlearn_torch/include/sample_queue.h start line: 36 end line: 38 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 363 unit: int ShmId() file: graphlearn_torch/include/sample_queue.h start line: 40 end line: 42 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 364 unit: int64_t GetRowCount() file: graphlearn_torch/include/graph.h start line: 90 end line: 92 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 365 unit: int64_t GetEdgeCount() file: graphlearn_torch/include/graph.h start line: 94 end line: 96 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 366 unit: int64_t GetColCount() file: graphlearn_torch/include/graph.h start line: 98 end line: 100 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 367 unit: GraphMode GetGraphMode() file: graphlearn_torch/include/graph.h start line: 102 end line: 104 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 368 unit: int32_t GetDeviceId() file: graphlearn_torch/include/graph.h start line: 106 end line: 108 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 369 unit: def __iter__() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 370 unit: def get_edge_label_index() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 371 unit: def _get_edge_index() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 372 unit: def __iter__() file: graphlearn_torch/python/loader/node_loader.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 373 unit: def rebuild_dist_table_dataset() file: graphlearn_torch/python/distributed/dist_table_dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 374 unit: def reduce_dist_table_dataset() file: graphlearn_torch/python/distributed/dist_table_dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 375 unit: def __init__() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 376 unit: def call() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 377 unit: def __init__() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 378 unit: def call() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 379 unit: def _update_pb() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 380 unit: def _partition_node() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 381 unit: def _edge_pfn() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 382 unit: def get_node_feature() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 383 unit: def get_tensor_size() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 384 unit: def get_node_label() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 385 unit: def get_server() file: graphlearn_torch/python/distributed/dist_server.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 386 unit: def rpc_is_initialized() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 387 unit: def get_rpc_master_addr() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 388 unit: def get_rpc_master_port() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 389 unit: def get_rpc_worker_names() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 390 unit: def _rpc_call() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 391 unit: def start_loop() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 392 unit: def __init__() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 393 unit: def __getitem__() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 394 unit: def is_all_sampling_completed_and_consumed() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 395 unit: def shutdown() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 396 unit: def _collate_fn() file: graphlearn_torch/python/distributed/dist_loader.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 397 unit: def rebuild_dist_dataset() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 398 unit: def reduce_dist_dataset() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 399 unit: def worker_name() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 400 unit: def get_context() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 401 unit: def get_clients_to_servers() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 402 unit: def edge_ids() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 403 unit: def edge_weights() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 404 unit: def share_ipc() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 405 unit: def row_count() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 406 unit: def col_count() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 407 unit: def edge_count() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 408 unit: def rebuild_graph() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 409 unit: def reduce_graph() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 410 unit: def __init__() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 411 unit: def rebuild_table_dataset() file: graphlearn_torch/python/data/table_dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 412 unit: def reduce_table_dataset() file: graphlearn_torch/python/data/table_dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 413 unit: def __getitem__() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 414 unit: def append_shared_tensor() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 415 unit: def append_cpu_tensor() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 416 unit: def init_from() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 417 unit: def __init__() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 418 unit: def _split() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 419 unit: def shape() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 420 unit: def size() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 421 unit: def rebuild_feature() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 422 unit: def reduce_feature() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 423 unit: def init_node_split() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 424 unit: def from_ipc_handle() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 425 unit: def rebuild_dataset() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 426 unit: def reduce_dataset() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 427 unit: def _set_python_exit_flag() file: graphlearn_torch/python/utils/exit_status.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 428 unit: def share_memory() file: graphlearn_torch/python/utils/tensor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 429 unit: def squeeze() file: graphlearn_torch/python/utils/tensor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 430 unit: def ensure_dir() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 431 unit: def glt_v6d_ext_module() file: graphlearn_torch/python/utils/build_glt.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 432 unit: def share_memory() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 433 unit: def to() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 434 unit: def subgraph() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 435 unit: def __init__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 436 unit: def __init__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 437 unit: def subgraph_op() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 438 unit: def _sample_from_nodes() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 439 unit: def _hetero_sample_from_nodes() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 440 unit: def subgraph() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 441 unit: def _max_sampled_nodes() file: graphlearn_torch/python/sampler/neighbor_sampler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 442 unit: def _partition_node() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 443 unit: def _cache_node() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 444 unit: def load_graph_partition_data() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 445 unit: def load_feature_partition_data() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 446 unit: def __getitem__() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 447 unit: def _partition_node() file: graphlearn_torch/python/partition/frequency_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 448 unit: def _cache_node() file: graphlearn_torch/python/partition/frequency_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 449 unit: def _partition_node() file: graphlearn_torch/python/partition/random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 450 unit: def _cache_node() file: graphlearn_torch/python/partition/random_partitioner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 451 unit: def pin_memory() file: graphlearn_torch/python/channel/shm_channel.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 452 unit: def empty() file: graphlearn_torch/python/channel/shm_channel.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 453 unit: size_t ShmQueueMeta::GetBlockToRead() file: graphlearn_torch/csrc/shm_queue.cc start line: 101 end line: 103 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 454 unit: bool ShmQueue::Empty() file: graphlearn_torch/csrc/shm_queue.cc start line: 238 end line: 240 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 455 unit: bool SampleQueue::Empty() file: graphlearn_torch/csrc/sample_queue.cc start line: 32 end line: 34 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 456 unit: void customDeleter() file: graphlearn_torch/v6d/vineyard_utils.cc start line: 28 end line: 30 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 457 unit: def __repr__() file: graphlearn_torch/python/loader/link_loader.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 458 unit: def __next__() file: graphlearn_torch/python/loader/node_loader.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 459 unit: def _node_feat_pfn() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 460 unit: def _edge_feat_pfn() file: graphlearn_torch/python/distributed/dist_random_partitioner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 461 unit: def __init__() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 462 unit: def call() file: graphlearn_torch/python/distributed/rpc.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 3 id: 463 unit: def _run_loop() file: graphlearn_torch/python/distributed/event_loop.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 464 unit: def call() file: graphlearn_torch/python/distributed/dist_feature.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 465 unit: def is_all_sampling_completed() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 466 unit: def reset() file: graphlearn_torch/python/distributed/dist_sampling_producer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 467 unit: def from_ipc_handle() file: graphlearn_torch/python/distributed/dist_dataset.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 468 unit: def is_worker() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 469 unit: def is_server() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 470 unit: def is_client() file: graphlearn_torch/python/distributed/dist_context.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 471 unit: def indptr() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 472 unit: def indices() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 473 unit: def degrees() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 474 unit: def row_count() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 475 unit: def edge_count() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 476 unit: def __getitem__() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 477 unit: def __setitem__() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 478 unit: def export_topology() file: graphlearn_torch/python/data/graph.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 479 unit: def device() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 480 unit: def offset() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 481 unit: def __getitem__() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 482 unit: def __len__() file: graphlearn_torch/python/data/vineyard_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 483 unit: def shape() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 484 unit: def device() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 485 unit: def numel() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 486 unit: def size() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 487 unit: def stride() file: graphlearn_torch/python/data/unified_tensor.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 488 unit: def size() file: graphlearn_torch/python/data/feature.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 489 unit: def __getitem__() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 490 unit: def __setitem__() file: graphlearn_torch/python/data/dataset.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 491 unit: def default_id_select() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 492 unit: def default_id_filter() file: graphlearn_torch/python/utils/common.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 493 unit: def __len__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 494 unit: def is_binary() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 495 unit: def is_triplet() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 496 unit: def __len__() file: graphlearn_torch/python/sampler/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 497 unit: def __getitem__() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 498 unit: def offset() file: graphlearn_torch/python/partition/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 499 unit: def __getitem__() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 500 unit: def device() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 501 unit: def id2index() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 502 unit: def __init__() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 503 unit: def to() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 504 unit: def __getitem__() file: graphlearn_torch/python/partition/partition_book.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 505 unit: def send() file: graphlearn_torch/python/channel/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 506 unit: def recv() file: graphlearn_torch/python/channel/base.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 507 unit: def __init__() file: graphlearn_torch/python/channel/mp_channel.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 508 unit: def send() file: graphlearn_torch/python/channel/mp_channel.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 509 unit: def recv() file: graphlearn_torch/python/channel/mp_channel.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 510 unit: def _all_received() file: graphlearn_torch/python/channel/remote_channel.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 511 unit: def send() file: graphlearn_torch/python/channel/shm_channel.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 512 unit: explicit ShmQueueMetaDeleter() file: graphlearn_torch/include/shm_queue.h start line: 235 end line: 235 size: 1 LOC McCabe index: 1 number of parameters: 1 id: 513 unit: virtual ~Sampler() file: graphlearn_torch/include/sampler.h start line: 26 end line: 26 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 514 unit: virtual ~SubGraphOp() file: graphlearn_torch/include/subgraph_op_base.h start line: 27 end line: 27 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 515 unit: virtual ~Inducer() file: graphlearn_torch/include/inducer_base.h start line: 31 end line: 31 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 516 unit: virtual ~HeteroInducer() file: graphlearn_torch/include/inducer_base.h start line: 51 end line: 51 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 517 unit: virtual ~NegativeSampler() file: graphlearn_torch/include/negative_sampler.h start line: 26 end line: 26 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 518 unit: void Reset() file: graphlearn_torch/csrc/cpu/subgraph_op.h start line: 37 end line: 37 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 519 unit: virtual ~CPUInducer() file: graphlearn_torch/csrc/cpu/inducer.h start line: 31 end line: 31 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 520 unit: virtual ~CPUHeteroInducer() file: graphlearn_torch/csrc/cpu/inducer.h start line: 53 end line: 53 size: 1 LOC McCabe index: 1 number of parameters: 0 id: 521 unit: void operator() file: graphlearn_torch/csrc/tensor_map.cc start line: 162 end line: 162 size: 1 LOC McCabe index: 1 number of parameters: 0