index int64 | statement_id int64 | statement string | lineno int64 | end_lineno int64 | comprehension_types list | metadata dict |
|---|---|---|---|---|---|---|
0 | 0 | yield (self.tree.get_text (x) for x in tr) | 87 | 87 | [
"GeneratorExp"
] | {
"hexsha": "f70001f658d4dfaa72dd4f0d1b3176492f6658bb",
"max_stars_repo_name": "CNDB/CNDB",
"max_stars_repo_path": "spider/openwrt.py",
"lang": "Python"
} |
0 | 1 | lq, nlq, etx = (float (x) for x in (lq, nlq, etx)) | 102 | 102 | [
"GeneratorExp"
] | {
"hexsha": "f70001f658d4dfaa72dd4f0d1b3176492f6658bb",
"max_stars_repo_name": "CNDB/CNDB",
"max_stars_repo_path": "spider/openwrt.py",
"lang": "Python"
} |
12 | 0 | images = [self.resize(image=image, size=self.size, resample=self.resample) for image in images] | 139 | 139 | [
"ListComp"
] | {
"hexsha": "f700088372c0eeaff049211c5fe92cdccb5fa804",
"max_stars_repo_name": "djroxx2000/transformers",
"max_stars_repo_path": "src/transformers/models/vit/feature_extraction_vit.py",
"lang": "Python"
} |
12 | 1 | images = [self.normalize(image=image, mean=self.image_mean, std=self.image_std) for image in images] | 141 | 141 | [
"ListComp"
] | {
"hexsha": "f700088372c0eeaff049211c5fe92cdccb5fa804",
"max_stars_repo_name": "djroxx2000/transformers",
"max_stars_repo_path": "src/transformers/models/vit/feature_extraction_vit.py",
"lang": "Python"
} |
13 | 0 | return [read_row() for _ in range(read_val())] | 12 | 12 | [
"ListComp"
] | {
"hexsha": "f700096cbce5db1538215892bb1dcc76b6c37987",
"max_stars_repo_name": "EliahKagan/old-practice-snapshot",
"max_stars_repo_path": "hier/project-euler/euler-067-hackerrank/euler067.py",
"lang": "Python"
} |
13 | 1 | return [make_blank_row(i) for i in range(1, n + 1)] | 18 | 18 | [
"ListComp"
] | {
"hexsha": "f700096cbce5db1538215892bb1dcc76b6c37987",
"max_stars_repo_name": "EliahKagan/old-practice-snapshot",
"max_stars_repo_path": "hier/project-euler/euler-067-hackerrank/euler067.py",
"lang": "Python"
} |
29 | 0 | communities = [f.id for f in gamer.communities.all()] | 170 | 170 | [
"ListComp"
] | {
"hexsha": "f700169f42c4405db98ca51444ca7070b1d5d538",
"max_stars_repo_name": "andrlik/looking-for-group",
"max_stars_repo_path": "looking_for_group/games/api_views.py",
"lang": "Python"
} |
29 | 1 | game_player_ids = [
obj.game.id
for obj in models.Player.objects.filter(gamer=gamer).select_related("game")
] | 171 | 174 | [
"ListComp"
] | {
"hexsha": "f700169f42c4405db98ca51444ca7070b1d5d538",
"max_stars_repo_name": "andrlik/looking-for-group",
"max_stars_repo_path": "looking_for_group/games/api_views.py",
"lang": "Python"
} |
34 | 0 | env_file.writelines((' - %s\n' % ch for ch in self._conda_channels)) | 132 | 132 | [
"GeneratorExp"
] | {
"hexsha": "f7001ad17b839c3551d7b4c8edcc8b1d1d322b6f",
"max_stars_repo_name": "prisae/asv",
"max_stars_repo_path": "asv/plugins/conda.py",
"lang": "Python"
} |
34 | 1 | env_file.writelines((' - %s\n' % s for s in conda_args)) | 140 | 140 | [
"GeneratorExp"
] | {
"hexsha": "f7001ad17b839c3551d7b4c8edcc8b1d1d322b6f",
"max_stars_repo_name": "prisae/asv",
"max_stars_repo_path": "asv/plugins/conda.py",
"lang": "Python"
} |
34 | 2 | env_file.writelines((' - %s\n' % s for s in pip_args)) | 145 | 145 | [
"GeneratorExp"
] | {
"hexsha": "f7001ad17b839c3551d7b4c8edcc8b1d1d322b6f",
"max_stars_repo_name": "prisae/asv",
"max_stars_repo_path": "asv/plugins/conda.py",
"lang": "Python"
} |
36 | 0 | overhead = np.median([self._timer.timeit(0) for _ in range(5)]) | 286 | 286 | [
"ListComp"
] | {
"hexsha": "f7001b697392ceebda04fd774fb9d56f47820f4b",
"max_stars_repo_name": "GOOGLE-M/SGC",
"max_stars_repo_path": "venv/lib/python3.7/site-packages/torch/utils/benchmark/utils/timer.py",
"lang": "Python"
} |
41 | 0 | x = tuple([i.detach() for i in x]) | 225 | 225 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 1 | bbox_list = [
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)[0]
for det_bboxes, det_labels in bbox_list
] | 229 | 232 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 2 | gt_bboxes_ignore = [None for _ in range(num_imgs)] | 239 | 239 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 3 | samp_list = [res.bboxes for res in sampling_results] | 256 | 256 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 4 | pred_scores = torch.cat([torch.tensor(bbox[:, 4]).float().cuda() for bbox in bbox_list], dim=0) | 262 | 262 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 5 | pred_rois = bbox2roi([torch.tensor(bbox).float().cuda() for bbox in bbox_list]) | 263 | 263 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 6 | bbox_list = [
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)[0]
for det_bboxes, det_labels in bbox_list
] | 311 | 314 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 7 | bbox_list = [torch.tensor(bbox).float().cuda() for bbox in bbox_list] | 316 | 316 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 8 | bbox_list = [bbox/im_scale for bbox in bbox_list] | 318 | 318 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 9 | bbox_results = [
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)
for det_bboxes, det_labels in bbox_list
] | 336 | 339 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
41 | 10 | bbox_results = [
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)
for det_bboxes, det_labels in bbox_list
] | 346 | 349 | [
"ListComp"
] | {
"hexsha": "f7001e1d779abcb0aeb35035bb723969df9248a9",
"max_stars_repo_name": "mohammedshariqnawaz/Pedestron",
"max_stars_repo_path": "mmdet/models/detectors/csp.py",
"lang": "Python"
} |
45 | 0 | myString = ', '.join('"{0}"'.format(s) for s in df.symbol.unique()) | 15 | 15 | [
"GeneratorExp"
] | {
"hexsha": "f7001f45079e3103298a8ceb0386c7b776820464",
"max_stars_repo_name": "brettelliot/event-study",
"max_stars_repo_path": "examples/earnings_surprises/earnings-converter.py",
"lang": "Python"
} |
48 | 0 | self._window_blocks = {
field: ExpiringCache(LRU(sid_cache_size))
for field in self.FIELDS
} | 332 | 335 | [
"DictComp"
] | {
"hexsha": "f7002044d0369ad65533164d260b2c8f91cb7841",
"max_stars_repo_name": "SJCosgrove/quantoipian",
"max_stars_repo_path": "zipline/data/history_loader.py",
"lang": "Python"
} |
48 | 1 | return [asset_windows[asset] for asset in assets] | 470 | 470 | [
"ListComp"
] | {
"hexsha": "f7002044d0369ad65533164d260b2c8f91cb7841",
"max_stars_repo_name": "SJCosgrove/quantoipian",
"max_stars_repo_path": "zipline/data/history_loader.py",
"lang": "Python"
} |
48 | 2 | return concatenate(
[window.get(end_ix) for window in block],
axis=1,
) | 553 | 556 | [
"ListComp"
] | {
"hexsha": "f7002044d0369ad65533164d260b2c8f91cb7841",
"max_stars_repo_name": "SJCosgrove/quantoipian",
"max_stars_repo_path": "zipline/data/history_loader.py",
"lang": "Python"
} |
60 | 0 | cls_map = {name: i for i, name in enumerate(config.classes)} | 163 | 163 | [
"DictComp"
] | {
"hexsha": "f70024e5f14d8c48a9b1684bda03d5b19a8c5e49",
"max_stars_repo_name": "taroxd/mindspore",
"max_stars_repo_path": "model_zoo/official/cv/ssd/src/dataset.py",
"lang": "Python"
} |
64 | 0 | self.assertTrue(any([p.name == option_name for p in self.vdq.__click_params__]), msg=f"Can not find {option_name} in option parameters") | 35 | 35 | [
"ListComp"
] | {
"hexsha": "f7002809c326a21adb3489f8362fe6d0df39aa6a",
"max_stars_repo_name": "grizmin/ssm-port-forwarding",
"max_stars_repo_path": "ssmpfwd/test/test_helpers.py",
"lang": "Python"
} |
64 | 1 | self.assertTrue(any([p.flag_value == flag_value for p in self.vdq.__click_params__]), msg=f"Can not find {flag_value} in option flag values") | 39 | 39 | [
"ListComp"
] | {
"hexsha": "f7002809c326a21adb3489f8362fe6d0df39aa6a",
"max_stars_repo_name": "grizmin/ssm-port-forwarding",
"max_stars_repo_path": "ssmpfwd/test/test_helpers.py",
"lang": "Python"
} |
64 | 2 | self.assertTrue(any([p.flag_value == flag_value for p in self.vdq.__click_params__]), msg=f"Can not find {flag_value} in option flag values") | 43 | 43 | [
"ListComp"
] | {
"hexsha": "f7002809c326a21adb3489f8362fe6d0df39aa6a",
"max_stars_repo_name": "grizmin/ssm-port-forwarding",
"max_stars_repo_path": "ssmpfwd/test/test_helpers.py",
"lang": "Python"
} |
64 | 3 | self.assertTrue(any([p.flag_value == flag_value for p in self.vdq.__click_params__]), msg=f"Can not find {flag_value} in option flag values") | 47 | 47 | [
"ListComp"
] | {
"hexsha": "f7002809c326a21adb3489f8362fe6d0df39aa6a",
"max_stars_repo_name": "grizmin/ssm-port-forwarding",
"max_stars_repo_path": "ssmpfwd/test/test_helpers.py",
"lang": "Python"
} |
65 | 0 | I0_modulation_err = np.array([val.m.s for val in I0_modulation]) | 39 | 39 | [
"ListComp"
] | {
"hexsha": "f70028f9fa4d86978ac4bf40e069c11a32974d6b",
"max_stars_repo_name": "doronbehar/lab4",
"max_stars_repo_path": "x2.ESR/ESRB.py",
"lang": "Python"
} |
65 | 1 | I0_modulation_raw = np.array([val.m.n for val in I0_modulation]) | 40 | 40 | [
"ListComp"
] | {
"hexsha": "f70028f9fa4d86978ac4bf40e069c11a32974d6b",
"max_stars_repo_name": "doronbehar/lab4",
"max_stars_repo_path": "x2.ESR/ESRB.py",
"lang": "Python"
} |
65 | 2 | absorption_deriviative_raw = np.array([val.m.n for val in absorption_deriviative]) | 43 | 43 | [
"ListComp"
] | {
"hexsha": "f70028f9fa4d86978ac4bf40e069c11a32974d6b",
"max_stars_repo_name": "doronbehar/lab4",
"max_stars_repo_path": "x2.ESR/ESRB.py",
"lang": "Python"
} |
65 | 3 | absorption_deriviative_err = np.array([val.m.s for val in absorption_deriviative]) | 44 | 44 | [
"ListComp"
] | {
"hexsha": "f70028f9fa4d86978ac4bf40e069c11a32974d6b",
"max_stars_repo_name": "doronbehar/lab4",
"max_stars_repo_path": "x2.ESR/ESRB.py",
"lang": "Python"
} |
70 | 0 | d[ 6 ] = HydrusSerialisable.SerialisableDictionary( { i : 'test' + str( i ) for i in range( 20 ) } ) | 97 | 97 | [
"DictComp"
] | {
"hexsha": "f7002c90467435a91e99ee2aae11e1a594ffba14",
"max_stars_repo_name": "baibhavvishalpani/hydrus",
"max_stars_repo_path": "hydrus/test/TestHydrusSerialisable.py",
"lang": "Python"
} |
70 | 1 | d[ ClientSearch.Predicate( ClientSearch.PREDICATE_TYPE_TAG, 'test pred 2' ) ] = HydrusSerialisable.SerialisableList( [ ClientSearch.Predicate( ClientSearch.PREDICATE_TYPE_TAG, 'test' + str( i ) ) for i in range( 10 ) ] ) | 100 | 100 | [
"ListComp"
] | {
"hexsha": "f7002c90467435a91e99ee2aae11e1a594ffba14",
"max_stars_repo_name": "baibhavvishalpani/hydrus",
"max_stars_repo_path": "hydrus/test/TestHydrusSerialisable.py",
"lang": "Python"
} |
70 | 2 | db[ HydrusData.GenerateKey() ] = [ HydrusData.GenerateKey() for i in range( 10 ) ] | 116 | 116 | [
"ListComp"
] | {
"hexsha": "f7002c90467435a91e99ee2aae11e1a594ffba14",
"max_stars_repo_name": "baibhavvishalpani/hydrus",
"max_stars_repo_path": "hydrus/test/TestHydrusSerialisable.py",
"lang": "Python"
} |
70 | 3 | db[ 2 ] = [ HydrusData.GenerateKey() for i in range( 10 ) ] | 118 | 118 | [
"ListComp"
] | {
"hexsha": "f7002c90467435a91e99ee2aae11e1a594ffba14",
"max_stars_repo_name": "baibhavvishalpani/hydrus",
"max_stars_repo_path": "hydrus/test/TestHydrusSerialisable.py",
"lang": "Python"
} |
75 | 0 | return [Request(x, callback=self.parse_item) for x in links] | 22 | 22 | [
"ListComp"
] | {
"hexsha": "f7002fa28c4f96c4ce9de895ed3dc6923730e7d5",
"max_stars_repo_name": "fictivekin/openrecipes",
"max_stars_repo_path": "scrapy_proj/openrecipes/spiders/elanaspantry_feedspider.py",
"lang": "Python"
} |
77 | 0 | class_sample_count = torch.LongTensor(
[(bin_labels == t).sum() for t in torch.arange(nbins)]) | 49 | 50 | [
"ListComp"
] | {
"hexsha": "f700308f76753f938a995240fe09d0f4b13796ba",
"max_stars_repo_name": "ayushkarnawat/profit",
"max_stars_repo_path": "examples/gb1/train_oracle.py",
"lang": "Python"
} |
77 | 1 | stratified = {split: Subset(dataset, sorted(idx))
for split, idx in zip(splits, subset_idx)} | 65 | 66 | [
"DictComp"
] | {
"hexsha": "f700308f76753f938a995240fe09d0f4b13796ba",
"max_stars_repo_name": "ayushkarnawat/profit",
"max_stars_repo_path": "examples/gb1/train_oracle.py",
"lang": "Python"
} |
78 | 0 | results = [i for i in pager] | 812 | 812 | [
"ListComp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 1 | assert all(isinstance(i, cloud_deploy.DeliveryPipeline) for i in results) | 814 | 814 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 2 | assert all(isinstance(i, cloud_deploy.DeliveryPipeline) for i in responses) | 898 | 898 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 3 | results = [i for i in pager] | 2,089 | 2,089 | [
"ListComp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 4 | assert all(isinstance(i, cloud_deploy.Target) for i in results) | 2,091 | 2,091 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 5 | assert all(isinstance(i, cloud_deploy.Target) for i in responses) | 2,159 | 2,159 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 6 | results = [i for i in pager] | 3,270 | 3,270 | [
"ListComp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 7 | assert all(isinstance(i, cloud_deploy.Release) for i in results) | 3,272 | 3,272 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 8 | assert all(isinstance(i, cloud_deploy.Release) for i in responses) | 3,340 | 3,340 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 9 | results = [i for i in pager] | 4,253 | 4,253 | [
"ListComp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 10 | assert all(isinstance(i, cloud_deploy.Rollout) for i in results) | 4,255 | 4,255 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
78 | 11 | assert all(isinstance(i, cloud_deploy.Rollout) for i in responses) | 4,323 | 4,323 | [
"GeneratorExp"
] | {
"hexsha": "f70031964499de2478621f668a6bbbbe0d067348",
"max_stars_repo_name": "LaudateCorpus1/python-deploy",
"max_stars_repo_path": "tests/unit/gapic/deploy_v1/test_cloud_deploy.py",
"lang": "Python"
} |
80 | 0 | self.ids = [os.path.join(dir, data_rank, mode, filename) for filename in os.listdir(os.path.join(dir, data_rank, mode))] | 34 | 34 | [
"ListComp"
] | {
"hexsha": "f70033d1cbc2d6abea9a13563db9c1b94096e116",
"max_stars_repo_name": "Theia-4869/U-RISC",
"max_stars_repo_path": "utils/dataset.py",
"lang": "Python"
} |
82 | 0 | fpolicies = {k: int(v) for k, v in
policies.items() if k.endswith("max")} | 405 | 406 | [
"DictComp"
] | {
"hexsha": "f70034b5d8bc1589a710450b847c2f39ab19cddb",
"max_stars_repo_name": "traghavendra/cinder-train",
"max_stars_repo_path": "cinder/volume/drivers/datera/datera_iscsi.py",
"lang": "Python"
} |
90 | 0 | return [Evaluator.evaluate(m, y, y_pred) for m in metric] | 265 | 265 | [
"ListComp"
] | {
"hexsha": "f700384c604ac91f885c84ab6ed838d3ba8c4771",
"max_stars_repo_name": "GZHoffie/analytics-zoo",
"max_stars_repo_path": "pyzoo/zoo/zouwu/model/Seq2Seq.py",
"lang": "Python"
} |
90 | 1 | return [np.array([Evaluator.evaluate(m, y[:, i, :], y_pred[:, i, :])
for i in range(self.future_seq_len)])
for m in metric] | 267 | 269 | [
"ListComp"
] | {
"hexsha": "f700384c604ac91f885c84ab6ed838d3ba8c4771",
"max_stars_repo_name": "GZHoffie/analytics-zoo",
"max_stars_repo_path": "pyzoo/zoo/zouwu/model/Seq2Seq.py",
"lang": "Python"
} |
90 | 2 | result = np.array([self.predict(x, mc=True) for i in range(n_iter)]) | 283 | 283 | [
"ListComp"
] | {
"hexsha": "f700384c604ac91f885c84ab6ed838d3ba8c4771",
"max_stars_repo_name": "GZHoffie/analytics-zoo",
"max_stars_repo_path": "pyzoo/zoo/zouwu/model/Seq2Seq.py",
"lang": "Python"
} |
104 | 0 | dist_info = dict(
line.strip().split('=', 1) for line in f.readlines()) | 412 | 413 | [
"GeneratorExp"
] | {
"hexsha": "f70045418bc49a61f9a7a48205189a79ca91e491",
"max_stars_repo_name": "marijnfs/onnxruntime",
"max_stars_repo_path": "tools/ci_build/build.py",
"lang": "Python"
} |
104 | 1 | return (
os.path.exists('/.dockerenv') or
os.path.isfile(path) and any('docker' in line for line in open(path))
) | 463 | 466 | [
"GeneratorExp"
] | {
"hexsha": "f70045418bc49a61f9a7a48205189a79ca91e491",
"max_stars_repo_name": "marijnfs/onnxruntime",
"max_stars_repo_path": "tools/ci_build/build.py",
"lang": "Python"
} |
104 | 2 | raise BuildError(
"iOS build on MacOS canceled due to missing arguments: " +
', '.join(
val for val, cond in zip(arg_names, needed_args)
if not cond)) | 771 | 775 | [
"GeneratorExp"
] | {
"hexsha": "f70045418bc49a61f9a7a48205189a79ca91e491",
"max_stars_repo_name": "marijnfs/onnxruntime",
"max_stars_repo_path": "tools/ci_build/build.py",
"lang": "Python"
} |
104 | 3 | raise BuildError(
"iOS build canceled due to missing arguments: " +
', '.join(
val for val, cond in zip(arg_names, needed_args)
if not cond)) | 806 | 810 | [
"GeneratorExp"
] | {
"hexsha": "f70045418bc49a61f9a7a48205189a79ca91e491",
"max_stars_repo_name": "marijnfs/onnxruntime",
"max_stars_repo_path": "tools/ci_build/build.py",
"lang": "Python"
} |
104 | 4 | cmake_args += ["-D{}".format(define) for define in cmake_extra_defines] | 853 | 853 | [
"ListComp"
] | {
"hexsha": "f70045418bc49a61f9a7a48205189a79ca91e491",
"max_stars_repo_name": "marijnfs/onnxruntime",
"max_stars_repo_path": "tools/ci_build/build.py",
"lang": "Python"
} |
107 | 0 | main([int(x) for x in sys.argv[1].split(',')], int(sys.argv[2])) | 82 | 82 | [
"ListComp"
] | {
"hexsha": "f70047cdafe4dcd083f47814ee7d17be097fee36",
"max_stars_repo_name": "not-sponsored/Guide-to-Data-Structures-and-Algorithms-Exercises",
"max_stars_repo_path": "algorithms/quicksort.py",
"lang": "Python"
} |
109 | 0 | return [w for w in cls._split_words(text) if w] | 800 | 800 | [
"ListComp"
] | {
"hexsha": "f70049a62ff8108e599465f06904de5438b65282",
"max_stars_repo_name": "lordloki/upbge",
"max_stars_repo_path": "release/scripts/modules/bl_i18n_utils/utils_spell_check.py",
"lang": "Python"
} |
110 | 0 | t_prime = [math.radians(i) for i in y_prime] | 170 | 170 | [
"ListComp"
] | {
"hexsha": "f7004a6a9da6e184c08cdd829e3bc4d6ac4c80b7",
"max_stars_repo_name": "NingAnMe/voxelmorph",
"max_stars_repo_path": "scripts/sphere/register.py",
"lang": "Python"
} |
110 | 1 | p_prime = [math.radians(i) for i in x_prime] | 171 | 171 | [
"ListComp"
] | {
"hexsha": "f7004a6a9da6e184c08cdd829e3bc4d6ac4c80b7",
"max_stars_repo_name": "NingAnMe/voxelmorph",
"max_stars_repo_path": "scripts/sphere/register.py",
"lang": "Python"
} |
110 | 2 | phi_prime = [math.degrees(p) for p in phi_prime] | 202 | 202 | [
"ListComp"
] | {
"hexsha": "f7004a6a9da6e184c08cdd829e3bc4d6ac4c80b7",
"max_stars_repo_name": "NingAnMe/voxelmorph",
"max_stars_repo_path": "scripts/sphere/register.py",
"lang": "Python"
} |
110 | 3 | thtea_prime = [math.degrees(t) for t in theta_prime] | 203 | 203 | [
"ListComp"
] | {
"hexsha": "f7004a6a9da6e184c08cdd829e3bc4d6ac4c80b7",
"max_stars_repo_name": "NingAnMe/voxelmorph",
"max_stars_repo_path": "scripts/sphere/register.py",
"lang": "Python"
} |
125 | 0 | if not (or_list([i in stopword_list for i in bigram])):
if freq > threshold:
frequent_bigrams.append('{}${}'.format(bigram[0], bigram[1]))
else:
break | 29 | 33 | [
"ListComp"
] | {
"hexsha": "f7005624326db8bd844029d49a4f69d03cd93970",
"max_stars_repo_name": "GU-DataLab/topic-modeling-textPrep",
"max_stars_repo_path": "settings/ngrams.py",
"lang": "Python"
} |
125 | 1 | fb, fn = get_dataset_ngrams([x[1] for x in date_docs], min_freq, sw, extra_bigrams, extra_ngrams) | 98 | 98 | [
"ListComp"
] | {
"hexsha": "f7005624326db8bd844029d49a4f69d03cd93970",
"max_stars_repo_name": "GU-DataLab/topic-modeling-textPrep",
"max_stars_repo_path": "settings/ngrams.py",
"lang": "Python"
} |
132 | 0 | stdout = "".join(
[line.decode("utf-8") for line in iter(pipe.stdout.readline, b"")]
) | 33 | 35 | [
"ListComp"
] | {
"hexsha": "f7005b28d042d57735c533e59720388a5a80e44f",
"max_stars_repo_name": "PansoK/slp",
"max_stars_repo_path": "tools/poor-mans-video-editor.py",
"lang": "Python"
} |
132 | 1 | return (
[st]
+ [
t
for s in delete_timestamps.split(",")
for t in (s.split("-")[0], s.split("-")[1])
]
+ [et]
) | 70 | 80 | [
"ListComp"
] | {
"hexsha": "f7005b28d042d57735c533e59720388a5a80e44f",
"max_stars_repo_name": "PansoK/slp",
"max_stars_repo_path": "tools/poor-mans-video-editor.py",
"lang": "Python"
} |
132 | 2 | timestamps = [to_cut_fmt(t) for t in timestamps] | 105 | 105 | [
"ListComp"
] | {
"hexsha": "f7005b28d042d57735c533e59720388a5a80e44f",
"max_stars_repo_name": "PansoK/slp",
"max_stars_repo_path": "tools/poor-mans-video-editor.py",
"lang": "Python"
} |
132 | 3 | cmds = [f"-ss {s} -to {e}" for s, e in pairwise(timestamps)] | 133 | 133 | [
"ListComp"
] | {
"hexsha": "f7005b28d042d57735c533e59720388a5a80e44f",
"max_stars_repo_name": "PansoK/slp",
"max_stars_repo_path": "tools/poor-mans-video-editor.py",
"lang": "Python"
} |
132 | 4 | segments = [ln.strip().split("\t") for ln in f] | 162 | 162 | [
"ListComp"
] | {
"hexsha": "f7005b28d042d57735c533e59720388a5a80e44f",
"max_stars_repo_name": "PansoK/slp",
"max_stars_repo_path": "tools/poor-mans-video-editor.py",
"lang": "Python"
} |
135 | 0 | color_modes = [e.value for e in ColorMode] | 76 | 76 | [
"ListComp"
] | {
"hexsha": "f7005bd1aad9ac2334d62b543f0e7ac8f6381776",
"max_stars_repo_name": "Mishrasubha/napari",
"max_stars_repo_path": "napari/_qt/layer_controls/qt_vectors_controls.py",
"lang": "Python"
} |
138 | 0 | item_lst=[item.strip() for item in item_lst] | 112 | 112 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 1 | strategy= [random.uniform(self.SMIN, self.SMAX) for _ in range(size)] | 237 | 237 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 2 | [pop[ind].append(fitness[ind]) for ind in range(len(pop))] | 264 | 264 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 3 | csvfile=[f for f in os.listdir('./tunecases/case{}/case{}_log/'.format(casenum, casenum)) if f.endswith('_out.csv')] | 313 | 313 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 4 | [fout.write(str(item) + ',') for item in ind] | 323 | 323 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 5 | [fout.write(item + ',') for item in self.param_names] | 532 | 532 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 6 | caseids=['ind{}'.format(ind) for ind in range(self.currentcase, self.currentcase+self.popsize+1)] | 542 | 542 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 7 | [offspring[ind].append(fitness[ind]) for ind in range(len(offspring))] | 557 | 557 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
138 | 8 | failed_cases=len([print ('failed') for item in self.population if isinstance(item, str)]) | 579 | 579 | [
"ListComp"
] | {
"hexsha": "f700608f35098a7965b60e53b106f0704bc73300",
"max_stars_repo_name": "XuboGU/neorl",
"max_stars_repo_path": "neorl/tune/runners/estune.py",
"lang": "Python"
} |
139 | 0 | all_boxes = [[[] for _ in xrange(num_images)]
for _ in xrange(imdb.num_classes)] | 215 | 216 | [
"ListComp"
] | {
"hexsha": "f70060aa3fd6b00edb6202ecf166cc9464082bba",
"max_stars_repo_name": "zhuriheng/faster-rcnn.pytorch",
"max_stars_repo_path": "test_net.py",
"lang": "Python"
} |
139 | 1 | image_scores = np.hstack([all_boxes[j][i][:, -1]
for j in xrange(1, imdb.num_classes)]) | 304 | 305 | [
"ListComp"
] | {
"hexsha": "f70060aa3fd6b00edb6202ecf166cc9464082bba",
"max_stars_repo_name": "zhuriheng/faster-rcnn.pytorch",
"max_stars_repo_path": "test_net.py",
"lang": "Python"
} |
141 | 0 | avg_val_loss = torch.stack([x["val_loss"] for x in outputs]).mean() | 72 | 72 | [
"ListComp"
] | {
"hexsha": "f700615e2a905b6e5d941c75f337b6670c36b49b",
"max_stars_repo_name": "hirune924/kaggle-HuBMAP",
"max_stars_repo_path": "system/system.py",
"lang": "Python"
} |
141 | 1 | avg_val_dice = torch.stack([x["val_dice"] for x in outputs]).mean() | 73 | 73 | [
"ListComp"
] | {
"hexsha": "f700615e2a905b6e5d941c75f337b6670c36b49b",
"max_stars_repo_name": "hirune924/kaggle-HuBMAP",
"max_stars_repo_path": "system/system.py",
"lang": "Python"
} |
142 | 0 | scores = {k: '?' for k in PCODES} | 89 | 89 | [
"DictComp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
142 | 1 | qtm = _mean_time([v[0] for v in vlist]) | 111 | 111 | [
"ListComp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
142 | 2 | atm = min(v[1] for v in vlist) | 113 | 113 | [
"GeneratorExp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
142 | 3 | wtimes_this = [atm - qtm for qtm, atm in vlist] | 157 | 157 | [
"ListComp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
142 | 4 | dates = [t.strftime('%Y-%m-%d') for t in index] | 274 | 274 | [
"ListComp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
142 | 5 | times = [t.strftime('%H:%M') for t in index] | 275 | 275 | [
"ListComp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
142 | 6 | sdf.columns = [
('/'.join([str(x) for x in c]) if isinstance(c, tuple) else c)
for c in sdf.columns
] | 282 | 285 | [
"ListComp"
] | {
"hexsha": "f70061697e12c46d39594f2bf2f9bb8e344f31c7",
"max_stars_repo_name": "han-kwang/coronatest-scandata",
"max_stars_repo_path": "coronatest_analyze_csv.py",
"lang": "Python"
} |
146 | 0 | watched = {full_dataset.to_inner_iid(key): value for key,value in watched.items()} | 35 | 35 | [
"DictComp"
] | {
"hexsha": "f7006506115787b6ab648322e288f899a2ea56b5",
"max_stars_repo_name": "mateuszrusin/filmweb-rekomendacje",
"max_stars_repo_path": "movies_recommender/RecommenderSVD.py",
"lang": "Python"
} |
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