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jupyter__docker-stacks__e014bb8e__17 | jupyter/docker-stacks | e014bb8ec52406e6ae491af2a7130a96922dfa25 | markdown_piece | tagging/manifests.py | 62 | 73 | [
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jupyter__docker-stacks__e014bb8e__18 | jupyter/docker-stacks | e014bb8ec52406e6ae491af2a7130a96922dfa25 | tag_value | tagging/taggers.py | 117 | 118 | [
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jupyter__docker-stacks__e014bb8e__19 | jupyter/docker-stacks | e014bb8ec52406e6ae491af2a7130a96922dfa25 | tag_value | tagging/taggers.py | 99 | 100 | [
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magenta__magenta__86cf0621__0 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testEventsToInput | magenta/music/encoder_decoder_test.py | 54 | 60 | [
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"name": "events_to_input",
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] | 1 |
magenta__magenta__86cf0621__1 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | setUp | magenta/music/sequences_lib_test.py | 28 | 40 | [
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magenta__magenta__86cf0621__2 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testFromNoteSequence_ImplicitTempoChange | magenta/music/sequences_lib_test.py | 223 | 237 | [
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magenta__magenta__86cf0621__3 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | pitch_to_midi_pitch | magenta/music/musicxml_parser.py | 565 | 588 | [
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magenta__magenta__86cf0621__4 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testGetMajorKey | magenta/music/melodies_lib_test.py | 72 | 89 | [
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magenta__magenta__86cf0621__5 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testNotEq | magenta/music/sequences_lib_test.py | 92 | 125 | [
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"name": "ad... | 3 |
magenta__magenta__86cf0621__6 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | duration_float | magenta/music/musicxml_parser.py | 708 | 711 | [
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magenta__magenta__86cf0621__7 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | test_empty_doc | magenta/music/musicxml_parser_test.py | 695 | 729 | [
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{
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magenta__magenta__86cf0621__8 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testFromQuantizedSequenceNotCommonTimeSig | magenta/music/drums_lib_test.py | 69 | 85 | [
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... | 3 |
magenta__magenta__86cf0621__9 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | setUp | magenta/music/chord_symbols_lib_test.py | 29 | 30 | [
{
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"name": "get",
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magenta__magenta__86cf0621__10 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | sleep_test_thread | magenta/common/concurrency_test.py | 40 | 43 | [
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"name": "Sleeper",
... | 2 |
magenta__magenta__86cf0621__11 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testFromNotesPolyphonicWithIgnorePolyphonicNotes | magenta/music/melodies_lib_test.py | 211 | 223 | [
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"line_start": 57,... | 3 |
magenta__magenta__86cf0621__12 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | restore_vars_from_checkpoint | magenta/models/rl_tuner/note_rnn_loader.py | 257 | 278 | [
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magenta__magenta__86cf0621__13 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testExtractDrumTracksTooLongTruncate | magenta/music/drums_lib_test.py | 284 | 296 | [
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... | 2 |
magenta__magenta__86cf0621__14 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | testFromNotesPolyphonic | magenta/music/melodies_lib_test.py | 200 | 209 | [
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"line_start": 57,... | 3 |
magenta__magenta__86cf0621__15 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | set_length | magenta/music/melodies_lib.py | 490 | 510 | [
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"name": "set_length",
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magenta__magenta__86cf0621__16 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | transform | magenta/pipelines/dag_pipeline_test.py | 415 | 417 | [
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"name": ... | 2 |
magenta__magenta__86cf0621__17 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | precompute_gram_matrices | magenta/models/image_stylization/learning.py | 29 | 45 | [
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... | 3 |
magenta__magenta__86cf0621__18 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | chord_symbol_quality | magenta/music/chord_symbols_lib.py | 195 | 201 | [
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] | 1 |
magenta__magenta__86cf0621__19 | magenta/magenta | 86cf0621afb651f5577e5bc002dfacf8e818c86e | transform | magenta/pipelines/pipeline_test.py | 238 | 240 | [
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ultralytics__yolov5__b3ceffb5__0 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | yolov5l | hubconf.py | 80 | 91 | [
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ultralytics__yolov5__b3ceffb5__1 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | print_mutation | utils/general.py | 368 | 396 | [
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"name": "fitness",
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ultralytics__yolov5__b3ceffb5__2 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | create_dataloader | utils/datasets.py | 56 | 79 | [
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ultralytics__yolov5__b3ceffb5__3 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | forward_once | models/yolo.py | 122 | 141 | [
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"name": "time_synchronized",
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] | 1 |
ultralytics__yolov5__b3ceffb5__4 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | ap_per_class | utils/metrics.py | 17 | 75 | [
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"name": "plot_pr_curve",
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ultralytics__yolov5__b3ceffb5__5 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | apply_classifier | utils/general.py | 399 | 431 | [
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"name": "xywh2xyxy",
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ultralytics__yolov5__b3ceffb5__6 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | update | utils/torch_utils.py | 227 | 237 | [
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"name": "is_parallel",
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] | 1 |
ultralytics__yolov5__b3ceffb5__7 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | plot_evolution | utils/plots.py | 310 | 331 | [
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"name": "hist2d",
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ultralytics__yolov5__b3ceffb5__8 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | plot_labels | utils/plots.py | 264 | 307 | [
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... | 3 |
ultralytics__yolov5__b3ceffb5__9 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | plot_test_txt | utils/plots.py | 202 | 216 | [
{
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"name": "xyxy2xywh",
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] | 1 |
ultralytics__yolov5__b3ceffb5__10 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | cache_labels | utils/datasets.py | 431 | 475 | [
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"name": "get_hash",
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ultralytics__yolov5__b3ceffb5__11 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | plot_images | utils/plots.py | 110 | 182 | [
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"name": "xywh2xyxy",
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ultralytics__yolov5__b3ceffb5__12 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | prune | utils/torch_utils.py | 107 | 115 | [
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"line_start": 98,
"name": "sparsity",
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] | 1 |
ultralytics__yolov5__b3ceffb5__13 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | non_max_suppression | utils/general.py | 265 | 351 | [
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"name": "box_iou",
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ultralytics__yolov5__b3ceffb5__14 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | scale_coords | utils/general.py | 163 | 176 | [
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"name": "clip_coords",
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ultralytics__yolov5__b3ceffb5__15 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | autoshape | models/yolo.py | 188 | 192 | [
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"line_start": 198,
"name": "copy_attr",
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ultralytics__yolov5__b3ceffb5__16 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | build_targets | utils/loss.py | 150 | 204 | [
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"name": "is_parallel",
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ultralytics__yolov5__b3ceffb5__17 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | attempt_load | models/experimental.py | 131 | 151 | [
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ultralytics__yolov5__b3ceffb5__18 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | check_img_size | utils/general.py | 59 | 64 | [
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"name": "make_divisible",
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ultralytics__yolov5__b3ceffb5__19 | ultralytics/yolov5 | b3ceffb513a471629246fc5dd39a696519db4ba5 | load_mosaic | utils/datasets.py | 615 | 670 | [
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... | 2 |
plotly__dash__baa6f295__0 | plotly/dash | baa6f295f53ecef66711b6e7af553fb896307394 | onpong | example-3-click-events.py | 39 | 42 | [
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plotly__dash__baa6f295__1 | plotly/dash | baa6f295f53ecef66711b6e7af553fb896307394 | replot | example-3-click-events.py | 46 | 50 | [
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"line_start": 20,
"name": "replot",
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] | 1 |
plotly__dash__baa6f295__2 | plotly/dash | baa6f295f53ecef66711b6e7af553fb896307394 | on_pong | example_3_click_events_state.py | 14 | 18 | [
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"name": "replot",
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] | 1 |
plotly__dash__baa6f295__3 | plotly/dash | baa6f295f53ecef66711b6e7af553fb896307394 | graph | dash/components.py | 28 | 33 | [
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"name": "element",
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] | 1 |
plotly__dash__baa6f295__4 | plotly/dash | baa6f295f53ecef66711b6e7af553fb896307394 | replot | example-4-tickers.py | 52 | 53 | [
{
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"file_path": "example-4-tickers.py",
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"line_start": 56,
"name": "update_graph",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__0 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | init_decoder_state | onmt/modules/Transformer.py | 279 | 280 | [
{
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"file_path": "onmt/modules/Transformer.py",
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"line_start": 283,
"name": "TransformerDecoderState",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__1 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | forward | onmt/modules/Transformer.py | 81 | 106 | [
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"line_start": 0,
"name": "aeq",
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] | 2 |
OpenNMT__OpenNMT-py__181fa188__2 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | dataset_build | test/test_preprocess.py | 27 | 44 | [
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"name": "ONMTDataset",
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... | 3 |
OpenNMT__OpenNMT-py__181fa188__3 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | build_vocab | onmt/IO.py | 208 | 229 | [
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"line_start": 91,
"name": "merge_vocabs",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__4 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | init_decoder_state | onmt/Models.py | 198 | 205 | [
{
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"name": "_fix_enc_hidden",
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OpenNMT__OpenNMT-py__181fa188__5 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | train | onmt/Trainer.py | 94 | 139 | [
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"name": "Statistics",
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"line_start": 108,
"name": "make_features",
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... | 3 |
OpenNMT__OpenNMT-py__181fa188__6 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | forward | onmt/modules/Embeddings.py | 126 | 144 | [
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"name": "aeq",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__7 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | translate | onmt/Translator.py | 194 | 222 | [
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"name": "translateBatch",
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"name": "buildTargetTokens",
... | 2 |
OpenNMT__OpenNMT-py__181fa188__8 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | compute_loss | onmt/modules/CopyGenerator.py | 104 | 140 | [
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"name": "bottle",
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"line_start": 96,
"name": "unbottle",
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{
... | 3 |
OpenNMT__OpenNMT-py__181fa188__9 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | stats | onmt/Loss.py | 78 | 91 | [
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"line_start": 21,
"name": "Statistics",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__10 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | forward | onmt/modules/GlobalAttention.py | 107 | 187 | [
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"file_path": "onmt/modules/GlobalAttention.py",
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"line_start": 69,
"name": "score",
"type": "function"... | 2 |
OpenNMT__OpenNMT-py__181fa188__11 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | validate | onmt/Trainer.py | 141 | 166 | [
{
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"file_path": "onmt/Trainer.py",
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"line_start": 21,
"name": "Statistics",
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{
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"line_end": 126,
"line_start": 108,
"name": "make_features",
"type": "function"
... | 3 |
OpenNMT__OpenNMT-py__181fa188__12 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | score | onmt/modules/GlobalAttention.py | 69 | 105 | [
{
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"line_start": 0,
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__13 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | load_fields | onmt/IO.py | 29 | 38 | [
{
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"name": "collect_features",
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"line_start": 149,
"name": "get_fields",
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... | 2 |
OpenNMT__OpenNMT-py__181fa188__14 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | log | onmt/Trainer.py | 58 | 63 | [
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"name": "elapsed_time",
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{
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"file_path": "onmt/Trainer.py",
"line_end": 41,
"line_start": 40,
"name": "ppl",
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},... | 3 |
OpenNMT__OpenNMT-py__181fa188__15 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | read_corpus_file | onmt/IO.py | 71 | 88 | [
{
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"file_path": "onmt/IO.py",
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"line_start": 52,
"name": "extract_features",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__16 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | forward | onmt/modules/Conv2Conv.py | 130 | 207 | [
{
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"file_path": "onmt/modules/Conv2Conv.py",
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"line_start": 19,
"name": "shape_transform",
"type": "functi... | 2 |
OpenNMT__OpenNMT-py__181fa188__17 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | make_loss_compute | train.py | 119 | 134 | [
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"file_path": "onmt/modules/CopyGenerator.py",
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"line_start": 78,
"name": "CopyGeneratorLossCompute",
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{
"decorator_line": 100,
"file_path": "onmt/Loss.py",
"line_end": 129,
"line_start": 100,
"name": "NMTLossCo... | 3 |
OpenNMT__OpenNMT-py__181fa188__18 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | forward | onmt/Models.py | 147 | 187 | [
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"name": "aeq",
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] | 1 |
OpenNMT__OpenNMT-py__181fa188__19 | OpenNMT/OpenNMT-py | 181fa1881e946c74ef842b183f4da5ccfa023315 | collect_features | train.py | 219 | 225 | [
{
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"name": "aeq",
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] | 2 |
python-trio__trio__f64200ce__0 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | statistics | trio/_sync.py | 448 | 462 | [
{
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"file_path": "trio/_sync.py",
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"line_start": 330,
"name": "_ConditionStatistics",
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}
] | 1 |
python-trio__trio__f64200ce__1 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | test_agen_protection | trio/_core/tests/test_ki.py | 132 | 187 | [
{
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"line_start": 92,
"name": "currently_ki_protected",
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{
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"file_path": "trio/_util.py",
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"line_start": 128,
"name": "acontextmanager",
... | 2 |
python-trio__trio__f64200ce__2 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | stubborn_sleeper | trio/_core/tests/test_run.py | 817 | 827 | [
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"name": "open_cancel_scope",
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{
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"file_path": "trio/_core/_traps.py",
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"line_start": 45,
"name": "yield_indefinite... | 3 |
python-trio__trio__f64200ce__3 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | move_on_after | trio/_timeouts.py | 19 | 33 | [
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"line_start": 9,
"name": "move_on_at",
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] | 1 |
python-trio__trio__f64200ce__4 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | test_call_soon_starvation_resistance | trio/_core/tests/test_run.py | 1,209 | 1,235 | [
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"file_path": "trio/_core/_run.py",
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"line_start": 1042,
"name": "run",
"typ... | 2 |
python-trio__trio__f64200ce__5 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | spawn_system_task | trio/_core/_run.py | 685 | 735 | [
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{
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"file_path": "trio/_core/_multierror.py",
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"line_start": 214,
"name": "catch",
... | 3 |
python-trio__trio__f64200ce__6 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | raise_SIGINT_soon | notes-to-self/wakeup-fd-racer.py | 22 | 24 | [
{
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"name": "signal_raise",
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] | 1 |
python-trio__trio__f64200ce__7 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | wait_kevent | trio/_core/_io_kqueue.py | 94 | 106 | [
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"file_path": "trio/_core/_traps.py",
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"line_start": 45,
"name": "yield_indefinitely... | 2 |
python-trio__trio__f64200ce__8 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | test_SocketType_simple_server | trio/tests/test_socket.py | 318 | 331 | [
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"file_path": "trio/socket.py",
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"line_start": 271,
"name": "bind",
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... | 3 |
python-trio__trio__f64200ce__9 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | staple | trio/_streams.py | 97 | 98 | [
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"line_start": 101,
"name": "StapledStream",
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] | 1 |
python-trio__trio__f64200ce__10 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | yield_briefly | trio/_core/_run.py | 1,341 | 1,356 | [
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"file_path": "trio/_core/_traps.py",
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"line_start": 45,
"name": "yield_indefinite... | 2 |
python-trio__trio__f64200ce__11 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | test_parking_lot_basic | trio/_core/tests/test_parking_lot.py | 7 | 70 | [
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"name": "ParkingLot",
... | 3 |
python-trio__trio__f64200ce__12 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | trio_test | trio/testing.py | 30 | 42 | [
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"line_start": 1042,
"name": "run",
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] | 1 |
python-trio__trio__f64200ce__13 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | block_on_read | trio/_core/tests/test_io.py | 86 | 94 | [
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"line_start": 77,
"name": "test_wait_basic"... | 2 |
python-trio__trio__f64200ce__14 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | test_cancel_scope_multierror_filtering | trio/_core/tests/test_run.py | 570 | 611 | [
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"name": "open_cancel_s... | 3 |
python-trio__trio__f64200ce__15 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | test_Value_compare | trio/_core/tests/test_result.py | 66 | 70 | [
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"name": "Value",
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] | 1 |
python-trio__trio__f64200ce__16 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | main2 | trio/_core/tests/test_run.py | 525 | 530 | [
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"file_path": "trio/_core/_run.py",
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"name": "yield_briefly... | 2 |
python-trio__trio__f64200ce__17 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | acquire | trio/_sync.py | 279 | 292 | [
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python-trio__trio__f64200ce__18 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | release | trio/tests/test_sync.py | 417 | 418 | [
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] | 1 |
python-trio__trio__f64200ce__19 | python-trio/trio | f64200ce44f99753fe0859c099a1a4f3e1306e11 | main | trio/tests/test_threads.py | 228 | 234 | [
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mne-tools__mne-python__2c02745c__0 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | f_oneway | mne/stats/parametric.py | 78 | 80 | [
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] | 1 |
mne-tools__mne-python__2c02745c__1 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | apply_forward | mne/forward.py | 661 | 724 | [
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"name": "_fill_measurement_info",
... | 2 |
mne-tools__mne-python__2c02745c__2 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | test_spatio_temporal_src_connectivity | mne/tests/test_source_estimate.py | 189 | 215 | [
{
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"file_path": "mne/source_estimate.py",
"line_end": 1418,
"line_start": 1396,
"name": "spatio_temporal_tris_connectivity",
"type": "function"
},
{
"decorator_line": 1304,
"file_path": "mne/source_estimate.py",
"line_end": 1365,
"line_start": 1305,... | 3 |
mne-tools__mne-python__2c02745c__3 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | power_iteration_kron | mne/mixed_norm/debiasing.py | 16 | 57 | [
{
"decorator_line": 267,
"file_path": "mne/utils.py",
"line_end": 282,
"line_start": 267,
"name": "check_random_state",
"type": "function"
}
] | 1 |
mne-tools__mne-python__2c02745c__4 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | test_reject_epochs | mne/tests/test_epochs.py | 156 | 170 | [
{
"decorator_line": 36,
"file_path": "mne/epochs.py",
"line_end": 863,
"line_start": 36,
"name": "Epochs",
"type": "class"
},
{
"decorator_line": 431,
"file_path": "mne/epochs.py",
"line_end": 443,
"line_start": 431,
"name": "get_data",
"type": "function"
}
] | 2 |
mne-tools__mne-python__2c02745c__5 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | read_proj | mne/fiff/proj.py | 48 | 156 | [
{
"decorator_line": 12,
"file_path": "mne/fiff/tree.py",
"line_end": 32,
"line_start": 12,
"name": "dir_tree_find",
"type": "function"
},
{
"decorator_line": 327,
"file_path": "mne/fiff/tag.py",
"line_end": 334,
"line_start": 327,
"name": "find_tag",
"type": "func... | 3 |
mne-tools__mne-python__2c02745c__6 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | test_unravel_index | mne/tests/test_fixes.py | 20 | 28 | [
{
"decorator_line": 170,
"file_path": "mne/fixes.py",
"line_end": 184,
"line_start": 170,
"name": "_unravel_index",
"type": "function"
}
] | 1 |
mne-tools__mne-python__2c02745c__7 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | test_stc_arithmetic | mne/tests/test_source_estimate.py | 57 | 81 | [
{
"decorator_line": 233,
"file_path": "mne/source_estimate.py",
"line_end": 317,
"line_start": 233,
"name": "read_source_estimate",
"type": "function"
},
{
"decorator_line": 614,
"file_path": "mne/source_estimate.py",
"line_end": 615,
"line_start": 614,
"name": "sqrt"... | 2 |
mne-tools__mne-python__2c02745c__8 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | read_source_estimate | mne/source_estimate.py | 233 | 317 | [
{
"decorator_line": 24,
"file_path": "mne/source_estimate.py",
"line_end": 82,
"line_start": 24,
"name": "read_stc",
"type": "function"
},
{
"decorator_line": 133,
"file_path": "mne/source_estimate.py",
"line_end": 174,
"line_start": 133,
"name": "read_w",
"type":... | 3 |
mne-tools__mne-python__2c02745c__9 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | test_parse_ave | mne/tests/test_misc.py | 9 | 13 | [
{
"decorator_line": 6,
"file_path": "mne/misc.py",
"line_end": 56,
"line_start": 6,
"name": "parse_config",
"type": "function"
}
] | 1 |
mne-tools__mne-python__2c02745c__10 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | prepare_inverse_operator | mne/minimum_norm/inverse.py | 428 | 559 | [
{
"decorator_line": 201,
"file_path": "mne/fiff/proj.py",
"line_end": 293,
"line_start": 201,
"name": "make_projector",
"type": "function"
},
{
"decorator_line": 377,
"file_path": "mne/minimum_norm/inverse.py",
"line_end": 404,
"line_start": 377,
"name": "combine_xyz"... | 2 |
mne-tools__mne-python__2c02745c__11 | mne-tools/mne-python | 2c02745ce39f1585ec44dc1c623047ec57695f03 | center_of_mass | mne/source_estimate.py | 723 | 821 | [
{
"decorator_line": 525,
"file_path": "mne/source_estimate.py",
"line_end": 531,
"line_start": 525,
"name": "is_surface",
"type": "function"
},
{
"decorator_line": 425,
"file_path": "mne/utils.py",
"line_end": 432,
"line_start": 425,
"name": "get_subjects_dir",
"t... | 3 |
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