index int64 | statement_id int64 | statement string | lineno int64 | end_lineno int64 | comprehension_types list | metadata dict |
|---|---|---|---|---|---|---|
714 | 0 | return dict([to_vim(k), to_vim(v)] for k, v in obj.items()) | 55 | 55 | [
"GeneratorExp"
] | {
"hexsha": "f701d45f0c4e24fdc3dba6acf4d40a703353740b",
"max_stars_repo_name": "lambdalisue/vim-gista",
"max_stars_repo_path": "autoload/vital/__vim_gista__/Web/API/github.py",
"lang": "Python"
} |
714 | 1 | return list(to_vim(v) for v in obj) | 57 | 57 | [
"GeneratorExp"
] | {
"hexsha": "f701d45f0c4e24fdc3dba6acf4d40a703353740b",
"max_stars_repo_name": "lambdalisue/vim-gista",
"max_stars_repo_path": "autoload/vital/__vim_gista__/Web/API/github.py",
"lang": "Python"
} |
714 | 2 | workers = [Thread(**kwargs) for n in range(nprocess)] | 157 | 157 | [
"ListComp"
] | {
"hexsha": "f701d45f0c4e24fdc3dba6acf4d40a703353740b",
"max_stars_repo_name": "lambdalisue/vim-gista",
"max_stars_repo_path": "autoload/vital/__vim_gista__/Web/API/github.py",
"lang": "Python"
} |
714 | 3 | kwargs = { ensure_unicode(k, encoding): ensure_unicode(v, encoding)
for k, v in kwargs.items()} | 200 | 201 | [
"DictComp"
] | {
"hexsha": "f701d45f0c4e24fdc3dba6acf4d40a703353740b",
"max_stars_repo_name": "lambdalisue/vim-gista",
"max_stars_repo_path": "autoload/vital/__vim_gista__/Web/API/github.py",
"lang": "Python"
} |
721 | 0 | candidates = list(mod_name for mod_name in sys.modules.copy()
if self.module_valid(sys.modules[mod_name])) | 198 | 199 | [
"GeneratorExp"
] | {
"hexsha": "f701d83c8c0491098011e98966490d3b6a659777",
"max_stars_repo_name": "gabistoian/Hide-Text-in-image",
"max_stars_repo_path": "venv/Lib/site-packages/shiboken2/files.dir/shibokensupport/signature/mapping.py",
"lang": "Python"
} |
723 | 0 | coordList = [
[
tuple(int(coord) for coord in pair.split(","))
for pair in line.split(" -> ")
]
for line in puzzleInput.strip().splitlines()
] | 12 | 18 | [
"GeneratorExp",
"ListComp"
] | {
"hexsha": "f701d938aba4d8300cacab21080c0e69d8ac18c8",
"max_stars_repo_name": "spgill/AdventOfCode2021",
"max_stars_repo_path": "day05.py",
"lang": "Python"
} |
723 | 1 | utils.printAnswer(len([item for item in part1Grid.items() if item[1] > 1])) | 66 | 66 | [
"ListComp"
] | {
"hexsha": "f701d938aba4d8300cacab21080c0e69d8ac18c8",
"max_stars_repo_name": "spgill/AdventOfCode2021",
"max_stars_repo_path": "day05.py",
"lang": "Python"
} |
723 | 2 | return len([item for item in part2Grid.items() if item[1] > 1]) | 69 | 69 | [
"ListComp"
] | {
"hexsha": "f701d938aba4d8300cacab21080c0e69d8ac18c8",
"max_stars_repo_name": "spgill/AdventOfCode2021",
"max_stars_repo_path": "day05.py",
"lang": "Python"
} |
725 | 0 | return [v._make_route_dict(r) for r in routes] | 47 | 47 | [
"ListComp"
] | {
"hexsha": "f701da916352cb9069d9c0e76375bee26e2ffece",
"max_stars_repo_name": "Cerberus98/quark",
"max_stars_repo_path": "quark/plugin_modules/routes.py",
"lang": "Python"
} |
730 | 0 | all_links = [a for a in all_links
if re.search(url_regex, a['href'])] | 261 | 262 | [
"ListComp"
] | {
"hexsha": "f701dc4aceb91f10edb6c0bfa86f3db68e475953",
"max_stars_repo_name": "timgates42/MechanicalSoup",
"max_stars_repo_path": "mechanicalsoup/stateful_browser.py",
"lang": "Python"
} |
730 | 1 | all_links = [a for a in all_links
if a.text == link_text] | 264 | 265 | [
"ListComp"
] | {
"hexsha": "f701dc4aceb91f10edb6c0bfa86f3db68e475953",
"max_stars_repo_name": "timgates42/MechanicalSoup",
"max_stars_repo_path": "mechanicalsoup/stateful_browser.py",
"lang": "Python"
} |
736 | 0 | [self.might_sensitive_words.append(f'O: {word}') for word in optional_words] | 25 | 25 | [
"ListComp"
] | {
"hexsha": "f701df068b2f136d27f5c1dacf5a101cbdf4bc52",
"max_stars_repo_name": "PabloEmidio/Findout-in-Comment",
"max_stars_repo_path": "search_tool.py",
"lang": "Python"
} |
736 | 1 | [self.might_sensitive_words.remove(word) for word in remove_words if word in self.might_sensitive_words] | 26 | 26 | [
"ListComp"
] | {
"hexsha": "f701df068b2f136d27f5c1dacf5a101cbdf4bc52",
"max_stars_repo_name": "PabloEmidio/Findout-in-Comment",
"max_stars_repo_path": "search_tool.py",
"lang": "Python"
} |
736 | 2 | elif any(string in comment for string in high):
return {'high': comment}
elif any(string in comment for string in medium):
return {'medium': comment}
else:
return {'low': comment} | 40 | 45 | [
"GeneratorExp"
] | {
"hexsha": "f701df068b2f136d27f5c1dacf5a101cbdf4bc52",
"max_stars_repo_name": "PabloEmidio/Findout-in-Comment",
"max_stars_repo_path": "search_tool.py",
"lang": "Python"
} |
736 | 3 | elif any(string in comment for string in medium):
return {'medium': comment}
else:
return {'low': comment} | 42 | 45 | [
"GeneratorExp"
] | {
"hexsha": "f701df068b2f136d27f5c1dacf5a101cbdf4bc52",
"max_stars_repo_name": "PabloEmidio/Findout-in-Comment",
"max_stars_repo_path": "search_tool.py",
"lang": "Python"
} |
737 | 0 | add_entities(
[SupervisorProcessSensor(info, supervisor_server) for info in processes], True
) | 33 | 35 | [
"ListComp"
] | {
"hexsha": "f701df2d6c3bb3e37f1bcdb97765f18418e63e7b",
"max_stars_repo_name": "mikan-megane/core",
"max_stars_repo_path": "homeassistant/components/supervisord/sensor.py",
"lang": "Python"
} |
739 | 0 | word_list = [word for word in valid_word_list if len(set(word)) == 5] | 20 | 20 | [
"ListComp"
] | {
"hexsha": "f701dfb05b4e2b1468d4835338476d9029415eab",
"max_stars_repo_name": "Masa-Shin/make-4-five-letter-words-without-repetition",
"max_stars_repo_path": "src/get_5_five_letter_words.py",
"lang": "Python"
} |
742 | 0 | paths = [path for path, _ in CLONES.values()] + list(CACHE_DIRS.values()) | 108 | 108 | [
"ListComp"
] | {
"hexsha": "f701e15de95b18608b398cedc0243f079d79d203",
"max_stars_repo_name": "asford/dvc",
"max_stars_repo_path": "dvc/external_repo.py",
"lang": "Python"
} |
746 | 0 | assert any(r is not NoReturn for r in results), 'exception occured on every run' | 445 | 445 | [
"GeneratorExp"
] | {
"hexsha": "f701e5714469931c76e895573715c567623da2a7",
"max_stars_repo_name": "vishalsodani/deal",
"max_stars_repo_path": "tests.py",
"lang": "Python"
} |
746 | 1 | assert any(r is NoReturn for r in results), 'no exception occured' | 446 | 446 | [
"GeneratorExp"
] | {
"hexsha": "f701e5714469931c76e895573715c567623da2a7",
"max_stars_repo_name": "vishalsodani/deal",
"max_stars_repo_path": "tests.py",
"lang": "Python"
} |
750 | 0 | argstr = ', '.join(['object ' + fix_object(x) for x in exception.args]) | 402 | 402 | [
"ListComp"
] | {
"hexsha": "f701e93ad73088654fd6b538457d54c52ecec092",
"max_stars_repo_name": "0xFireball/exascript2",
"max_stars_repo_path": "Src/Scripts/generate_exceptions.py",
"lang": "Python"
} |
750 | 1 | cw.writeline('args = PythonTuple.MakeTuple(' + ', '.join([fix_object(x) for x in exception.args]) + ');') | 406 | 406 | [
"ListComp"
] | {
"hexsha": "f701e93ad73088654fd6b538457d54c52ecec092",
"max_stars_repo_name": "0xFireball/exascript2",
"max_stars_repo_path": "Src/Scripts/generate_exceptions.py",
"lang": "Python"
} |
750 | 2 | cw.writeline('__init__(' + ', '.join([fix_object(x) for x in exception.args]) + ');') | 413 | 413 | [
"ListComp"
] | {
"hexsha": "f701e93ad73088654fd6b538457d54c52ecec092",
"max_stars_repo_name": "0xFireball/exascript2",
"max_stars_repo_path": "Src/Scripts/generate_exceptions.py",
"lang": "Python"
} |
751 | 0 | expected.update({ii: slice(None, None, None) for ii in range(1, 1000)}) | 136 | 136 | [
"DictComp"
] | {
"hexsha": "f701e9411422a12eaa72972194de87ab9163810c",
"max_stars_repo_name": "abhinavralhan/dask",
"max_stars_repo_path": "dask/array/tests/test_slicing.py",
"lang": "Python"
} |
751 | 1 | expected = merge(dict((('y', i, 0), (getitem, ('x', i, 0),
(slice(None, None, None), [1, 3, 5])))
for i in range(4)),
dict((('y', i, 1), (getitem, ('x', i, 1),
(slice(None, None, None), [17])... | 280 | 285 | [
"GeneratorExp"
] | {
"hexsha": "f701e9411422a12eaa72972194de87ab9163810c",
"max_stars_repo_name": "abhinavralhan/dask",
"max_stars_repo_path": "dask/array/tests/test_slicing.py",
"lang": "Python"
} |
753 | 0 | queues = [RetryQueue() for i in range(CORES)] | 710 | 710 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 1 | args = [(dat, binspar, binsper, parmetric, permetric, rng, weights, range(int(Nd*i/CORES),int(Nd*(i+1)/CORES)), True, queues[i]) for i in range(CORES)] | 711 | 711 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 2 | jobs = [Process(target=aDDwcalcp, args=(a)) for a in args] | 712 | 712 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 3 | queues = [RetryQueue() for i in range(CORES)] | 725 | 725 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 4 | args = [(datR, binspar, binsper, parmetric, permetric, rng, rweights, range(int(Nr*i/CORES),int(Nr*(i+1)/CORES)), True, queues[i]) for i in range(CORES)] | 726 | 726 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 5 | jobs = [Process(target=aRRwcalcp, args=(a)) for a in args] | 727 | 727 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 6 | queues = [RetryQueue() for i in range(CORES)] | 740 | 740 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 7 | args = [(dat, datR, binspar, binsper, parmetric, permetric, rng, weights, range(int(Nr*i/CORES), int(Nr*(i+1)/CORES)), True, queues[i]) for i in range(CORES)] | 741 | 741 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 8 | jobs = [Process(target=aRDwcalcp, args=(a)) for a in args] | 742 | 742 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 9 | queues = [RetryQueue() for i in range(CORES)] | 756 | 756 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 10 | args = [(dat, datR, binspar, binsper, parmetric, permetric, rng, rweights, range(int(Nd*i/CORES), int(Nd*(i+1)/CORES)), True, queues[i]) for i in range(CORES)] | 757 | 757 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
753 | 11 | jobs = [Process(target=aDRwcalcp, args=(a)) for a in args] | 758 | 758 | [
"ListComp"
] | {
"hexsha": "f701eae7d9153c4940a9de47ed79a004e74e6560",
"max_stars_repo_name": "rohinkumar/CorrelCalc",
"max_stars_repo_path": "correlcalc/antpcf.py",
"lang": "Python"
} |
756 | 0 | nodes.extend([node for node in nodes_all
if (str(node.port) == failover_node.port)]) | 348 | 349 | [
"ListComp"
] | {
"hexsha": "f701ec8d1673c733a95290013d8b9a3737b4b8a1",
"max_stars_repo_name": "sumedhpb/testrunner",
"max_stars_repo_path": "pytests/security/SecretsMgmtTests.py",
"lang": "Python"
} |
756 | 1 | nodes.extend([node for node in nodes_all
if node.ip == failover_node.ip]) | 352 | 353 | [
"ListComp"
] | {
"hexsha": "f701ec8d1673c733a95290013d8b9a3737b4b8a1",
"max_stars_repo_name": "sumedhpb/testrunner",
"max_stars_repo_path": "pytests/security/SecretsMgmtTests.py",
"lang": "Python"
} |
763 | 0 | self.assertEqual(
[
x.text for x in
self.selenium.find_elements_by_xpath("//ul[@class='timelist']/li/a")
],
['Now', 'Midnight', '6 a.m.', 'Noon', '6 p.m.']
) | 824 | 830 | [
"ListComp"
] | {
"hexsha": "f701f1abff83536a090c2e94d28527084e8c64b6",
"max_stars_repo_name": "ronpad/django",
"max_stars_repo_path": "tests/admin_widgets/tests.py",
"lang": "Python"
} |
763 | 1 | selected = [td for td in tds if td.get_attribute('class') == 'selected'] | 909 | 909 | [
"ListComp"
] | {
"hexsha": "f701f1abff83536a090c2e94d28527084e8c64b6",
"max_stars_repo_name": "ronpad/django",
"max_stars_repo_path": "tests/admin_widgets/tests.py",
"lang": "Python"
} |
764 | 0 | results = pool.map(f, [X[feature] for feature in df_features['Feature']], chunksize=chunksize) | 137 | 137 | [
"ListComp"
] | {
"hexsha": "f701f1d7ecfbfea55fbc17179f0299931e6d1dd5",
"max_stars_repo_name": "davidcrowland/layer_vb_tagging",
"max_stars_repo_path": "extra/tsfresh_examples/tsfresh/feature_selection/feature_selector.py",
"lang": "Python"
} |
764 | 1 | C = [sum([1.0 / i for i in range(1, k + 1)]) for k in K] | 264 | 264 | [
"ListComp"
] | {
"hexsha": "f701f1d7ecfbfea55fbc17179f0299931e6d1dd5",
"max_stars_repo_name": "davidcrowland/layer_vb_tagging",
"max_stars_repo_path": "extra/tsfresh_examples/tsfresh/feature_selection/feature_selector.py",
"lang": "Python"
} |
764 | 2 | T = [fdr_level * k / m * 1.0 / c for k, c in zip(K, C)] | 267 | 267 | [
"ListComp"
] | {
"hexsha": "f701f1d7ecfbfea55fbc17179f0299931e6d1dd5",
"max_stars_repo_name": "davidcrowland/layer_vb_tagging",
"max_stars_repo_path": "extra/tsfresh_examples/tsfresh/feature_selection/feature_selector.py",
"lang": "Python"
} |
766 | 0 | missing = [dep for dep in deps if not importlib.util.find_spec(dep)] | 35 | 35 | [
"ListComp"
] | {
"hexsha": "f701f30df1fc51076dcd0f5de3aeec82d2c612ae",
"max_stars_repo_name": "ZohaibZ/DataScience",
"max_stars_repo_path": "Statistical Methods and Data Analysis/Module 2 Assignment/venv/lib/python3.8/site-packages/matplotlib/tests/test_backends_interactive.py",
"lang": "Python"
} |
770 | 0 | assert (expected_error in [format_error(error) for error in result.errors]) | 724 | 724 | [
"ListComp"
] | {
"hexsha": "f701f57a6d66a5162c4485e2059098ca7ddc59f7",
"max_stars_repo_name": "jhgg/graphql-py",
"max_stars_repo_path": "tests/core_type/test_introspection.py",
"lang": "Python"
} |
771 | 0 | talks_votes = [talk.num_votes for talk in talks] | 205 | 205 | [
"ListComp"
] | {
"hexsha": "f701f5da9daa45c173263130bee6d726af6e96a9",
"max_stars_repo_name": "VladimirFilonov/moscowdjango",
"max_stars_repo_path": "apps/meetup/views.py",
"lang": "Python"
} |
774 | 0 | return all(
isinstance(item, ALLOWED_HOST_TYPES)
for item in value
) | 42 | 45 | [
"GeneratorExp"
] | {
"hexsha": "f701f865b738ef986aac7ad75382e6e9b70325f2",
"max_stars_repo_name": "ryanwersal/pyinfra",
"max_stars_repo_path": "pyinfra_cli/inventory.py",
"lang": "Python"
} |
774 | 1 | group_data[group_name] = {
key: value
for key, value in six.iteritems(attrs)
if _is_group_data(key, value)
} | 78 | 82 | [
"DictComp"
] | {
"hexsha": "f701f865b738ef986aac7ad75382e6e9b70325f2",
"max_stars_repo_name": "ryanwersal/pyinfra",
"max_stars_repo_path": "pyinfra_cli/inventory.py",
"lang": "Python"
} |
774 | 2 | return {
key: value
for key, value in six.iteritems(attrs)
if _is_inventory_group(key, value)
} | 90 | 94 | [
"DictComp"
] | {
"hexsha": "f701f865b738ef986aac7ad75382e6e9b70325f2",
"max_stars_repo_name": "ryanwersal/pyinfra",
"max_stars_repo_path": "pyinfra_cli/inventory.py",
"lang": "Python"
} |
774 | 3 | fake_groups = {
# In API mode groups *must* be tuples of (hostnames, data)
name: group if isinstance(group, tuple) else (group, {})
for name, group in six.iteritems(groups)
} | 165 | 169 | [
"DictComp"
] | {
"hexsha": "f701f865b738ef986aac7ad75382e6e9b70325f2",
"max_stars_repo_name": "ryanwersal/pyinfra",
"max_stars_repo_path": "pyinfra_cli/inventory.py",
"lang": "Python"
} |
777 | 0 | all_deploy_dependencies = set(itertools.chain.from_iterable(
compute_recursive_contract_dependencies(contract_name, dependency_graph)
for contract_name in contracts_to_deploy
)) | 26 | 29 | [
"GeneratorExp"
] | {
"hexsha": "f701f97e1f188d4e04e78e513ce8208e4d9f71ef",
"max_stars_repo_name": "blockchainhelppro/CelvinRost",
"max_stars_repo_path": "deploy.py",
"lang": "Python"
} |
777 | 1 | deploy_order = tuple(
contract_name
for contract_name
in global_deploy_order
if contract_name in all_contracts_to_deploy
) | 34 | 39 | [
"GeneratorExp"
] | {
"hexsha": "f701f97e1f188d4e04e78e513ce8208e4d9f71ef",
"max_stars_repo_name": "blockchainhelppro/CelvinRost",
"max_stars_repo_path": "deploy.py",
"lang": "Python"
} |
778 | 0 | cat_idx = [df.iloc[:, 1:].columns.get_loc(val) for val in categorical_cols] | 82 | 82 | [
"ListComp"
] | {
"hexsha": "f701f9d8c81d5e989359e6483b6e3216e93ad459",
"max_stars_repo_name": "prakass1/InteractiveSimilarityExplorer",
"max_stars_repo_path": "machine_learning_model.py",
"lang": "Python"
} |
778 | 1 | num_idx = [df.iloc[:, 1:].columns.get_loc(val) for val in num_cols] | 83 | 83 | [
"ListComp"
] | {
"hexsha": "f701f9d8c81d5e989359e6483b6e3216e93ad459",
"max_stars_repo_name": "prakass1/InteractiveSimilarityExplorer",
"max_stars_repo_path": "machine_learning_model.py",
"lang": "Python"
} |
778 | 2 | usr_vals = np.array([user_ts[n_id] for n_id in diff_near_idx[0]]) | 229 | 229 | [
"ListComp"
] | {
"hexsha": "f701f9d8c81d5e989359e6483b6e3216e93ad459",
"max_stars_repo_name": "prakass1/InteractiveSimilarityExplorer",
"max_stars_repo_path": "machine_learning_model.py",
"lang": "Python"
} |
783 | 0 | return [x for l in lists for x in l] | 32 | 32 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 1 | return [e.val(k) for e in seq] | 36 | 36 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 2 | ipt_seqs = [extract_key(exp_seq, k) for exp_seq in exp_seqs] | 49 | 49 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 3 | ret["inputs"][k] = [ipt_seq[:-1] for ipt_seq in ipt_seqs] | 50 | 50 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 4 | ret["next_inputs"][k] = [ipt_seq[1:] for ipt_seq in ipt_seqs] | 51 | 51 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 5 | act_seqs = [extract_key(exp_seq, k) for exp_seq in exp_seqs] | 54 | 54 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 6 | ret["actions"][k] = [act_seq[:-1] for act_seq in act_seqs] | 55 | 55 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 7 | ret["next_actions"][k] = [act_seq[1:] for act_seq in act_seqs] | 56 | 56 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 8 | ret["rewards"][
k] = [extract_key(exp_seq[:-1], k) for exp_seq in exp_seqs] | 59 | 60 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 9 | ret["states"][
k] = [extract_key(exp_seq[:1], k)[0] for exp_seq in exp_seqs] | 68 | 69 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 10 | ret["next_states"][k] = [
extract_key(exp_seq[1:2], k)[0] for exp_seq in exp_seqs
] | 70 | 72 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 11 | ret["next_alive"]["alive"] \
= [extract_key(exp_seq[1:], "alive") for exp_seq in exp_seqs] | 74 | 75 | [
"ListComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 12 | inputs_ = {k: [v] for k, v in inputs.items()} | 277 | 277 | [
"DictComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 13 | states_ = {k: [v] for k, v in states.items()} | 278 | 278 | [
"DictComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 14 | prediction = {k: v[0] for k, v in prediction.items()} | 282 | 282 | [
"DictComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 15 | next_states = {k: v[0] for k, v in next_states.items()} | 283 | 283 | [
"DictComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
783 | 16 | zero_rewards = {k: [0] * len(v) for k, v in rewards.items()} | 337 | 337 | [
"DictComp"
] | {
"hexsha": "f701fef52c14cd1ab59e97d3208e9fba872d50d7",
"max_stars_repo_name": "skylian/flare",
"max_stars_repo_path": "flare/framework/agent.py",
"lang": "Python"
} |
789 | 0 | ua_verification_devices = [vd for vd in verification_devices if vd.test_user_agent(user_agent)] | 99 | 99 | [
"ListComp"
] | {
"hexsha": "f7020143781683c04a23b0b50295a1890ca68391",
"max_stars_repo_name": "janheise/zentral",
"max_stars_repo_path": "server/accounts/models.py",
"lang": "Python"
} |
789 | 1 | return tuple((i.value, i.value) for i in cls) | 167 | 167 | [
"GeneratorExp"
] | {
"hexsha": "f7020143781683c04a23b0b50295a1890ca68391",
"max_stars_repo_name": "janheise/zentral",
"max_stars_repo_path": "server/accounts/models.py",
"lang": "Python"
} |
794 | 0 | lines = [l for l in lines if "<suppressed>" not in l] | 111 | 111 | [
"ListComp"
] | {
"hexsha": "f7020407270c486b259d7d6e15d11395208c8459",
"max_stars_repo_name": "astrohr/dagor-preprocessing",
"max_stars_repo_path": "finder/planets.py",
"lang": "Python"
} |
794 | 1 | if p.name not in (i.name for i in self.planets):
p.analyzePlanet()
self.planets.append(p)
if self.beeperOn:
playsound('up.wav')
else:
# print('Plane already known (' + p.name + ')')
pass | 458 | 465 | [
"GeneratorExp"
] | {
"hexsha": "f7020407270c486b259d7d6e15d11395208c8459",
"max_stars_repo_name": "astrohr/dagor-preprocessing",
"max_stars_repo_path": "finder/planets.py",
"lang": "Python"
} |
794 | 2 | return sorted([p for p in self.planets if not p.discard], key=lambda planet: planet.maxAltitudeEphemeride.dateUnix) | 482 | 482 | [
"ListComp"
] | {
"hexsha": "f7020407270c486b259d7d6e15d11395208c8459",
"max_stars_repo_name": "astrohr/dagor-preprocessing",
"max_stars_repo_path": "finder/planets.py",
"lang": "Python"
} |
797 | 0 | print(' '.join(str(i) for i in list(product(*[aarr, barr])))) | 6 | 6 | [
"GeneratorExp"
] | {
"hexsha": "f70206cc800c5e0d94292d32c57ac589cda0f286",
"max_stars_repo_name": "raghavi101/HackerRank",
"max_stars_repo_path": "learn1/46.py",
"lang": "Python"
} |
798 | 0 | print('\n'.join('{:.2f}'.format(i) for i in COST)) | 156 | 156 | [
"GeneratorExp"
] | {
"hexsha": "f702081e249e1d95321d52a2424e1f7a8a4b4c3a",
"max_stars_repo_name": "code-lab-org/sys611",
"max_stars_repo_path": "previous/week12/object-oriented/FactorySystemOO.py",
"lang": "Python"
} |
815 | 0 | self.inv_vocab = {v: k for k, v in self.vocab.items()} | 168 | 168 | [
"DictComp"
] | {
"hexsha": "f7020e806b61d3b1b2fd2eb73b1d37b9c9465b3f",
"max_stars_repo_name": "joytianya/google_bert",
"max_stars_repo_path": "zuo/bert/tokenization.py",
"lang": "Python"
} |
815 | 1 | return ["".join(x) for x in output] | 251 | 251 | [
"ListComp"
] | {
"hexsha": "f7020e806b61d3b1b2fd2eb73b1d37b9c9465b3f",
"max_stars_repo_name": "joytianya/google_bert",
"max_stars_repo_path": "zuo/bert/tokenization.py",
"lang": "Python"
} |
816 | 0 | return [[float(D(n) / determinant) or 0.0 for n in row] for row in swapped_matrix] | 40 | 40 | [
"ListComp"
] | {
"hexsha": "f7020e83e9b4b451e496d6aadff5e7867e1489d5",
"max_stars_repo_name": "hank-chou/python",
"max_stars_repo_path": "matrix/inverse_of_matrix.py",
"lang": "Python"
} |
820 | 0 | return [v.translate(first_negated) for v in shape] | 35 | 35 | [
"ListComp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 1 | self.__variants = [
[
list(shape_tuple)
for shape_tuple in {
tuple(canonicalize_shape([f(v) for v in s]))
for f in fs
}
]
for s in self.__shapes
] | 90 | 99 | [
"ListComp",
"SetComp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 2 | for instance_id in [self.__lattice.point_to_index(p) for p in self.__lattice.points]:
quadtree.add_expr(
(HAS_INSTANCE_ID, instance_id),
lambda p, i=instance_id: fast_eq(self.__shape_instance_grid[p], int_vals[i]))
quadtree.add_expr(
(NOT_HAS_INSTANCE_ID, instance_id),
... | 151 | 157 | [
"ListComp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 3 | min_y = min(p.y for p in self.__shape_type_grid) | 230 | 230 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 4 | min_x = min(p.x for p in self.__shape_type_grid) | 231 | 231 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 5 | max_y = max(p.y for p in self.__shape_type_grid) | 232 | 232 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 6 | max_x = max(p.x for p in self.__shape_type_grid) | 233 | 233 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 7 | min_y = min(p.y for p in self.__shape_instance_grid) | 253 | 253 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 8 | min_x = min(p.x for p in self.__shape_instance_grid) | 254 | 254 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 9 | max_y = max(p.y for p in self.__shape_instance_grid) | 255 | 255 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
820 | 10 | max_x = max(p.x for p in self.__shape_instance_grid) | 256 | 256 | [
"GeneratorExp"
] | {
"hexsha": "f7021005377ccdda8d76009a04d71c7447d772fc",
"max_stars_repo_name": "jaylorch/grilops",
"max_stars_repo_path": "grilops/shapes.py",
"lang": "Python"
} |
824 | 0 | proj_versions = [x for x in proj_versions if re.fullmatch(r"v\d+\.\d+", x)] | 63 | 63 | [
"ListComp"
] | {
"hexsha": "f70214d382ae03efdb4a7b2d43a33a02aafbf03c",
"max_stars_repo_name": "KronosTheLate/jill.py",
"max_stars_repo_path": "jill/install.py",
"lang": "Python"
} |
824 | 1 | link_list = [f"julia-{f(version)}" for f in (f_major_version,
f_minor_version)] | 111 | 112 | [
"ListComp"
] | {
"hexsha": "f70214d382ae03efdb4a7b2d43a33a02aafbf03c",
"max_stars_repo_name": "KronosTheLate/jill.py",
"max_stars_repo_path": "jill/install.py",
"lang": "Python"
} |
826 | 0 | row = "".join(".xo"[int(c)] for c in b[irow]) | 119 | 119 | [
"GeneratorExp"
] | {
"hexsha": "f70215af683529cb3b43d00b6d7dc7a40230ca48",
"max_stars_repo_name": "imandr/RLpy",
"max_stars_repo_path": "rlpy/gradnet/samples/single_agent/single_agent_ttt_env.py",
"lang": "Python"
} |
826 | 1 | choices = [i for i, x in enumerate(available_actions) if x] | 155 | 155 | [
"ListComp"
] | {
"hexsha": "f70215af683529cb3b43d00b6d7dc7a40230ca48",
"max_stars_repo_name": "imandr/RLpy",
"max_stars_repo_path": "rlpy/gradnet/samples/single_agent/single_agent_ttt_env.py",
"lang": "Python"
} |
841 | 0 | self.data = [0 for _ in range(self.samples)] | 159 | 159 | [
"ListComp"
] | {
"hexsha": "f702222d3dba2c9d49caadf65f84a04d301756c8",
"max_stars_repo_name": "CentraleNantesRobotics/ping360_sonar_python",
"max_stars_repo_path": "ping360_sonar/ping360_sonar/sonar_interface.py",
"lang": "Python"
} |
848 | 0 | if self.models and [k for k, v in self.models.items() if v["type"] == "segmentation"]:
self.ui.segmentationCollapsibleButton.collapsed = False | 480 | 481 | [
"ListComp"
] | {
"hexsha": "f70225bfe03aae6c356907a08cda096186636654",
"max_stars_repo_name": "hkethi002/MONAILabel",
"max_stars_repo_path": "plugins/slicer/MONAILabel/MONAILabel.py",
"lang": "Python"
} |
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