duplicated block id: 1
size: 21 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (278:302)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (321:345)

duplicated block id: 2
size: 20 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (85:104)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (140:159)

duplicated block id: 3
size: 17 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_random_partitioner.py (173:189)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (83:99)

duplicated block id: 4
size: 16 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_dataset.py (154:171)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (328:345)

duplicated block id: 5
size: 16 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (68:84)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (122:138)

duplicated block id: 6
size: 16 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (451:468)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (370:387)

duplicated block id: 7
size: 15 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (83:97)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (225:239)

duplicated block id: 8
size: 15 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (193:208)
 - graphlearn_torch/python/partition/random_partitioner.py (29:58)

duplicated block id: 9
size: 14 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_loader.py (78:92)
 - graphlearn_torch/python/distributed/dist_subgraph_loader.py (69:82)

duplicated block id: 10
size: 14 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (76:91)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (82:97)

duplicated block id: 11
size: 14 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (112:125)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (259:272)

duplicated block id: 12
size: 14 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_dist_neighbor_loader.py (37:50)
 - benchmarks/api/run_dist_bench.py (26:39)

duplicated block id: 13
size: 13 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (489:501)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (410:422)

duplicated block id: 14
size: 13 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (140:153)
 - graphlearn_torch/python/partition/base.py (159:172)

duplicated block id: 15
size: 12 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (335:347)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (277:288)

duplicated block id: 16
size: 12 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/loader/neighbor_loader.py (89:101)
 - graphlearn_torch/python/loader/subgraph_loader.py (79:91)

duplicated block id: 17
size: 12 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:16)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:16)

duplicated block id: 18
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_link_neighbor_loader.py (130:142)
 - graphlearn_torch/python/loader/link_loader.py (120:132)

duplicated block id: 19
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)

duplicated block id: 20
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 21
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 22
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 23
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 24
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 25
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 26
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 27
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)

duplicated block id: 28
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 29
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 30
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 31
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)

duplicated block id: 32
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 33
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 34
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)

duplicated block id: 35
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)

duplicated block id: 36
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)

duplicated block id: 37
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 38
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 39
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 40
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 41
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)

duplicated block id: 42
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 43
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 44
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 45
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 46
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 47
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 48
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (470:482)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (389:400)

duplicated block id: 49
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 50
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 51
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 52
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 53
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 54
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 55
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 56
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 57
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 58
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 59
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 60
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 61
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 62
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 63
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 64
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 65
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (159:170)
 - graphlearn_torch/python/partition/base.py (175:186)

duplicated block id: 66
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 67
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)

duplicated block id: 68
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 69
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/include/hash_table.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 70
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 71
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 72
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 73
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 74
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 75
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 76
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 77
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 78
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)

duplicated block id: 79
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 80
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 81
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 82
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)

duplicated block id: 83
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/include/common.cuh (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 84
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)

duplicated block id: 85
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 86
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 87
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)

duplicated block id: 88
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 89
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 90
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 91
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 92
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 93
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 94
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 95
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 96
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 97
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 98
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)

duplicated block id: 99
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 100
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 101
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 102
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 103
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 104
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 105
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)

duplicated block id: 106
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 107
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (127:137)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (273:283)

duplicated block id: 108
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 109
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 110
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 111
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 112
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 113
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)

duplicated block id: 114
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 115
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)

duplicated block id: 116
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 117
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)

duplicated block id: 118
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 119
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/dataset.py (153:164)
 - graphlearn_torch/python/distributed/dist_dataset.py (213:224)

duplicated block id: 120
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/graph.cu (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 121
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 122
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/include/common.cuh (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 123
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)

duplicated block id: 124
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 125
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 126
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (437:447)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (353:366)

duplicated block id: 127
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/include/hash_table.cuh (1:14)

duplicated block id: 128
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 129
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 130
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 131
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)

duplicated block id: 132
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cuh (1:14)
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)

duplicated block id: 133
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 134
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_negative_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)

duplicated block id: 135
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/stitch_sample_results.cu (1:14)
 - graphlearn_torch/include/unified_tensor.cuh (1:14)

duplicated block id: 136
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (140:151)
 - graphlearn_torch/python/partition/base.py (175:186)

duplicated block id: 137
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 138
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/hash_table.cu (1:14)
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)

duplicated block id: 139
size: 11 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (67:77)
 - benchmarks/api/bench_sampler.py (62:72)

duplicated block id: 140
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (1:14)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)

duplicated block id: 141
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)
 - graphlearn_torch/include/common.cuh (1:14)

duplicated block id: 142
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (1:14)
 - graphlearn_torch/csrc/cuda/weighted_sampler.cuh (1:14)

duplicated block id: 143
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (1:14)
 - graphlearn_torch/csrc/cuda/subgraph_op.cuh (1:14)

duplicated block id: 144
size: 11 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cuh (1:14)
 - graphlearn_torch/csrc/cuda/unified_tensor.cu (1:14)

duplicated block id: 145
size: 10 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/dataset.py (124:146)
 - graphlearn_torch/python/distributed/dist_dataset.py (183:205)

duplicated block id: 146
size: 10 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (97:108)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (118:129)

duplicated block id: 147
size: 10 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (32:44)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (60:72)

duplicated block id: 148
size: 10 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (58:69)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (63:74)

duplicated block id: 149
size: 10 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.h (29:41)
 - graphlearn_torch/csrc/cpu/weighted_sampler.h (29:41)

duplicated block id: 150
size: 10 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (222:232)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (242:252)

duplicated block id: 151
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/loader/neighbor_loader.py (73:81)
 - graphlearn_torch/python/loader/subgraph_loader.py (66:74)

duplicated block id: 152
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (33:43)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (35:45)

duplicated block id: 153
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (91:101)
 - graphlearn_torch/csrc/cpu/random_sampler.cc (111:121)

duplicated block id: 154
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (31:42)
 - graphlearn_torch/csrc/cpu/random_sampler.cc (56:67)

duplicated block id: 155
size: 9 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (28:36)
 - benchmarks/api/bench_sampler.py (32:40)

duplicated block id: 156
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_link_neighbor_loader.py (115:123)
 - graphlearn_torch/python/distributed/dist_neighbor_loader.py (79:87)

duplicated block id: 157
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/utils/build_glt.py (57:65)
 - graphlearn_torch/python/utils/build_glt.py (122:130)

duplicated block id: 158
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/sampler/neighbor_sampler.py (549:557)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (571:579)

duplicated block id: 159
size: 9 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_link_neighbor_loader.py (115:123)
 - graphlearn_torch/python/distributed/dist_subgraph_loader.py (70:78)

duplicated block id: 160
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_table_dataset.py (222:229)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (256:263)

duplicated block id: 161
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (74:82)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (214:222)

duplicated block id: 162
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (58:67)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (35:44)

duplicated block id: 163
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (33:42)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (63:72)

duplicated block id: 164
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_dataset.py (126:133)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (301:308)

duplicated block id: 165
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (424:431)
 - graphlearn_torch/python/partition/base.py (650:657)

duplicated block id: 166
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (594:614)
 - graphlearn_torch/python/partition/base.py (772:797)

duplicated block id: 167
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (404:422)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (324:338)

duplicated block id: 168
size: 8 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (28:35)
 - benchmarks/api/bench_sampler.py (62:69)

duplicated block id: 169
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (269:277)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (312:319)

duplicated block id: 170
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (626:634)
 - graphlearn_torch/python/partition/base.py (668:676)

duplicated block id: 171
size: 8 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_random_partitioner.py (426:433)
 - graphlearn_torch/python/distributed/dist_random_partitioner.py (464:471)

duplicated block id: 172
size: 8 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (67:74)
 - benchmarks/api/bench_sampler.py (32:39)

duplicated block id: 173
size: 8 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_sampler.py (32:39)
 - benchmarks/api/bench_sampler.py (62:69)

duplicated block id: 174
size: 8 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (28:35)
 - benchmarks/api/bench_feature.py (67:74)

duplicated block id: 175
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (115:121)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (122:128)

duplicated block id: 176
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (95:101)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (122:128)

duplicated block id: 177
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_options.py (186:192)
 - graphlearn_torch/python/distributed/dist_options.py (247:253)

duplicated block id: 178
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (59:65)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (111:117)

duplicated block id: 179
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (193:200)
 - graphlearn_torch/python/partition/frequency_partitioner.py (27:59)

duplicated block id: 180
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (95:101)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (101:107)

duplicated block id: 181
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (219:236)
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (271:279)

duplicated block id: 182
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (115:121)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (101:107)

duplicated block id: 183
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/frequency_partitioner.py (27:59)
 - graphlearn_torch/python/partition/random_partitioner.py (29:50)

duplicated block id: 184
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/sampler/neighbor_sampler.py (419:426)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (439:445)

duplicated block id: 185
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (59:68)
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (80:89)

duplicated block id: 186
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (122:128)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (130:136)

duplicated block id: 187
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/frequency_partitioner.py (123:129)
 - graphlearn_torch/python/partition/random_partitioner.py (63:69)

duplicated block id: 188
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (168:175)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (182:189)

duplicated block id: 189
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/rpc.py (290:296)
 - graphlearn_torch/python/distributed/rpc.py (307:313)

duplicated block id: 190
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (400:406)
 - graphlearn_torch/python/partition/base.py (633:639)

duplicated block id: 191
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (498:505)
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (519:525)

duplicated block id: 192
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (104:111)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (249:256)

duplicated block id: 193
size: 7 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (50:56)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (54:60)

duplicated block id: 194
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (647:652)
 - graphlearn_torch/python/partition/base.py (691:696)

duplicated block id: 195
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (118:123)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (231:236)

duplicated block id: 196
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (89:94)
 - graphlearn_torch/python/data/table_dataset.py (118:123)

duplicated block id: 197
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/frequency_partitioner.py (61:66)
 - graphlearn_torch/python/partition/random_partitioner.py (51:56)

duplicated block id: 198
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/sampler/base.py (431:437)
 - graphlearn_torch/python/sampler/base.py (447:453)

duplicated block id: 199
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_link_neighbor_loader.py (145:150)
 - graphlearn_torch/python/loader/link_loader.py (135:140)

duplicated block id: 200
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_table_dataset.py (231:236)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (265:270)

duplicated block id: 201
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_sampling_producer.py (167:176)
 - graphlearn_torch/python/distributed/dist_sampling_producer.py (298:307)

duplicated block id: 202
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (154:159)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (177:182)

duplicated block id: 203
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/sampler/base.py (378:383)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (319:324)

duplicated block id: 204
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/v6d/vineyard_utils.cc (117:122)
 - graphlearn_torch/v6d/vineyard_utils.cc (127:132)

duplicated block id: 205
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/partition/base.py (201:206)
 - graphlearn_torch/python/partition/frequency_partitioner.py (61:66)

duplicated block id: 206
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (160:166)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (174:180)

duplicated block id: 207
size: 6 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (105:110)
 - benchmarks/api/bench_sampler.py (92:97)

duplicated block id: 208
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_loader.py (112:118)
 - graphlearn_torch/python/distributed/dist_subgraph_loader.py (88:94)

duplicated block id: 209
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/loader/link_neighbor_loader.py (130:135)
 - graphlearn_torch/python/loader/subgraph_loader.py (69:74)

duplicated block id: 210
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/distributed/dist_neighbor_sampler.py (309:315)
 - graphlearn_torch/python/sampler/neighbor_sampler.py (251:256)

duplicated block id: 211
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (26:31)
 - graphlearn_torch/csrc/cpu/weighted_sampler.cc (27:32)

duplicated block id: 212
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/loader/link_neighbor_loader.py (130:135)
 - graphlearn_torch/python/loader/neighbor_loader.py (76:81)

duplicated block id: 213
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/inducer.cu (18:25)
 - graphlearn_torch/csrc/cuda/subgraph_op.cu (18:25)

duplicated block id: 214
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/random_sampler.cc (142:147)
 - graphlearn_torch/csrc/cpu/random_sampler.cc (163:168)

duplicated block id: 215
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (89:94)
 - graphlearn_torch/python/distributed/dist_table_dataset.py (265:270)

duplicated block id: 216
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cpu/stitch_sample_results.cc (18:24)
 - graphlearn_torch/include/stitch_sample_results.h (21:27)

duplicated block id: 217
size: 6 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_sampler.py (44:49)
 - benchmarks/api/bench_sampler.py (74:79)

duplicated block id: 218
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/table_dataset.py (82:87)
 - graphlearn_torch/python/data/table_dataset.py (111:116)

duplicated block id: 219
size: 6 cleaned lines of code
in 2 files:
 - benchmarks/api/bench_feature.py (56:61)
 - benchmarks/api/bench_feature.py (92:97)

duplicated block id: 220
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/python/data/dataset.py (243:248)
 - graphlearn_torch/python/data/dataset.py (305:310)

duplicated block id: 221
size: 6 cleaned lines of code
in 2 files:
 - graphlearn_torch/csrc/cuda/random_sampler.cu (234:239)
 - graphlearn_torch/csrc/cuda/random_sampler.cu (256:261)