hybrid-diff-ar/stack-v2-sparse-classes-36k

a9192c0761126ce3b3d564bf31eafb8eb11d1d6d

[ "if self.labGroup is not None:\n self.queryset = PerformedReaction.objects.filter(reaction_ptr__in=self.labGroup.reaction_set.all()) | PerformedReaction.objects.filter(public=True)\nelse:\n self.queryset = PerformedReaction.objects.filter(public=True)\nself.queryset = self.queryset.order_by('-insertedDateTime...

<|body_start_0|> if self.labGroup is not None: self.queryset = PerformedReaction.objects.filter(reaction_ptr__in=self.labGroup.reaction_set.all()) | PerformedReaction.objects.filter(public=True) else: self.queryset = PerformedReaction.objects.filter(public=True) self.quer...

Standard list view of performed reactions, adjusted to deal with a few DRP idiosyncrasies.

ListPerformedReactions

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ListPerformedReactions: """Standard list view of performed reactions, adjusted to deal with a few DRP idiosyncrasies.""" def dispatch(self, request, filetype=None, *args, **kwargs): """Render the view according to the appropriate filetype.""" <|body_0|> def get_context_d...

stack_v2_sparse_classes_36k_train_032000

11,344

no_license

[ { "docstring": "Render the view according to the appropriate filetype.", "name": "dispatch", "signature": "def dispatch(self, request, filetype=None, *args, **kwargs)" }, { "docstring": "Attach the lab form as additional context; deprecated.", "name": "get_context_data", "signature": "de...

2

stack_v2_sparse_classes_30k_train_000745

Implement the Python class `ListPerformedReactions` described below. Class description: Standard list view of performed reactions, adjusted to deal with a few DRP idiosyncrasies. Method signatures and docstrings: - def dispatch(self, request, filetype=None, *args, **kwargs): Render the view according to the appropria...

eae2009eadf87ffd2378233f3e153d385f4654d2

<|skeleton|> class ListPerformedReactions: """Standard list view of performed reactions, adjusted to deal with a few DRP idiosyncrasies.""" def dispatch(self, request, filetype=None, *args, **kwargs): """Render the view according to the appropriate filetype.""" <|body_0|> def get_context_d...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ListPerformedReactions: """Standard list view of performed reactions, adjusted to deal with a few DRP idiosyncrasies.""" def dispatch(self, request, filetype=None, *args, **kwargs): """Render the view according to the appropriate filetype.""" if self.labGroup is not None: self...

the_stack_v2_python_sparse

DRP/views/reaction.py

zhaojhao/DRP

train

0

0c54f863cc3b64768c2083b234c2e8d933142fc7

[ "new_head = ListNode(None)\npointer = new_head\nwhile True:\n if l1 == None and l2 == None:\n break\n elif l1 == None:\n pointer.next = l2\n break\n elif l2 == None:\n pointer.next = l1\n break\n else:\n if l1.val < l2.val:\n pointer.next = l1\n ...

<|body_start_0|> new_head = ListNode(None) pointer = new_head while True: if l1 == None and l2 == None: break elif l1 == None: pointer.next = l2 break elif l2 == None: pointer.next = l1 ...

Iterative Solution Runtime: Runtime: 20 ms, faster than 95.09% of Python online submissions for Merge Two Sorted Lists. Memory Usage: 12.7 MB, less than 5.75% of Python online submissions for Merge Two Sorted Lists.

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: """Iterative Solution Runtime: Runtime: 20 ms, faster than 95.09% of Python online submissions for Merge Two Sorted Lists. Memory Usage: 12.7 MB, less than 5.75% of Python online submissions for Merge Two Sorted Lists.""" def mergeTwoLists(self, l1, l2): """:type l1: ListNo...

stack_v2_sparse_classes_36k_train_032001

2,452

no_license

[ { "docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode", "name": "mergeTwoLists", "signature": "def mergeTwoLists(self, l1, l2)" }, { "docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode", "name": "mergeTwoLists", "signature": "def mergeTwoLists(self, l1, ...

2

stack_v2_sparse_classes_30k_train_015439

Implement the Python class `Solution` described below. Class description: Iterative Solution Runtime: Runtime: 20 ms, faster than 95.09% of Python online submissions for Merge Two Sorted Lists. Memory Usage: 12.7 MB, less than 5.75% of Python online submissions for Merge Two Sorted Lists. Method signatures and docstr...

844f502da4d6fb9cd69cf0a1ef71da3385a4d2b4

<|skeleton|> class Solution: """Iterative Solution Runtime: Runtime: 20 ms, faster than 95.09% of Python online submissions for Merge Two Sorted Lists. Memory Usage: 12.7 MB, less than 5.75% of Python online submissions for Merge Two Sorted Lists.""" def mergeTwoLists(self, l1, l2): """:type l1: ListNo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: """Iterative Solution Runtime: Runtime: 20 ms, faster than 95.09% of Python online submissions for Merge Two Sorted Lists. Memory Usage: 12.7 MB, less than 5.75% of Python online submissions for Merge Two Sorted Lists.""" def mergeTwoLists(self, l1, l2): """:type l1: ListNode :type l2: ...

the_stack_v2_python_sparse

21-merge_two_linked_lists.py

stevestar888/leetcode-problems

train

2

a314e9d42e749bc9a4413b8e445c96c4ab1a3ace

[ "super(InTriggerDistanceToVehicle, self).__init__(name)\nself.logger.debug('%s.__init__()' % self.__class__.__name__)\nself._other_actor = other_actor\nself._actor = actor\nself._distance = distance", "new_status = py_trees.common.Status.RUNNING\nego_location = CarlaDataProvider.get_location(self._actor)\nother_l...

This class contains the trigger distance (condition) between to actors of a scenario Important parameters: - actor: CARLA actor to execute the behavior - other_actor: Reference CARLA actor - name: Name of the condition - distance: Trigger distance between the two actors in meters The condition terminates with SUCCESS, ...

InTriggerDistanceToVehicle

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class InTriggerDistanceToVehicle: """This class contains the trigger distance (condition) between to actors of a scenario Important parameters: - actor: CARLA actor to execute the behavior - other_actor: Reference CARLA actor - name: Name of the condition - distance: Trigger distance between the two ac...

stack_v2_sparse_classes_36k_train_032002

18,494

permissive

[ { "docstring": "Setup trigger distance", "name": "__init__", "signature": "def __init__(self, other_actor, actor, distance, name='TriggerDistanceToVehicle')" }, { "docstring": "Check if the ego vehicle is within trigger distance to other actor", "name": "update", "signature": "def update...

2

stack_v2_sparse_classes_30k_train_014747

Implement the Python class `InTriggerDistanceToVehicle` described below. Class description: This class contains the trigger distance (condition) between to actors of a scenario Important parameters: - actor: CARLA actor to execute the behavior - other_actor: Reference CARLA actor - name: Name of the condition - distan...

8ab0894b92e1f994802a218002021ee075c405bf

<|skeleton|> class InTriggerDistanceToVehicle: """This class contains the trigger distance (condition) between to actors of a scenario Important parameters: - actor: CARLA actor to execute the behavior - other_actor: Reference CARLA actor - name: Name of the condition - distance: Trigger distance between the two ac...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class InTriggerDistanceToVehicle: """This class contains the trigger distance (condition) between to actors of a scenario Important parameters: - actor: CARLA actor to execute the behavior - other_actor: Reference CARLA actor - name: Name of the condition - distance: Trigger distance between the two actors in meter...

the_stack_v2_python_sparse

carla_rllib/carla_rllib-prak_evaluator-carla_rllib-prak_evaluator/carla_rllib/prak_evaluator/srunner/scenarioconfigs/scenariomanager/scenarioatomics/atomic_trigger_conditions.py

TinaMenke/Deep-Reinforcement-Learning

train

9

77f4b885c34dec43a89b98579f3acba70fc5d839

[ "responses.add(responses.GET, 'https://textit.in/api/v2/contacts.json?urn=whatsapp%3A27820001001', json={'results': [], 'next': None})\nmcimport = MomConnectImport.objects.create()\nmcimport.rows.create(row_number=2, msisdn='+27820001001', messaging_consent=True, facility_code='123456', edd_year=2021, edd_month=12,...

<|body_start_0|> responses.add(responses.GET, 'https://textit.in/api/v2/contacts.json?urn=whatsapp%3A27820001001', json={'results': [], 'next': None}) mcimport = MomConnectImport.objects.create() mcimport.rows.create(row_number=2, msisdn='+27820001001', messaging_consent=True, facility_code='123...

ValidateMomConnectImportTests

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ValidateMomConnectImportTests: def test_success(self, upload_momconnect_import): """If the validation passes, then should be updated to validation complete""" <|body_0|> def test_fail_previously_opted_out(self): """If the mother has previously opted out, and hasn't c...

stack_v2_sparse_classes_36k_train_032003

31,403

permissive

[ { "docstring": "If the validation passes, then should be updated to validation complete", "name": "test_success", "signature": "def test_success(self, upload_momconnect_import)" }, { "docstring": "If the mother has previously opted out, and hasn't chosen to opt in again, then validation should f...

4

stack_v2_sparse_classes_30k_train_009998

Implement the Python class `ValidateMomConnectImportTests` described below. Class description: Implement the ValidateMomConnectImportTests class. Method signatures and docstrings: - def test_success(self, upload_momconnect_import): If the validation passes, then should be updated to validation complete - def test_fai...

e1ea0beaf079f4f4d5f9562fb9d9a4f0670f459f

<|skeleton|> class ValidateMomConnectImportTests: def test_success(self, upload_momconnect_import): """If the validation passes, then should be updated to validation complete""" <|body_0|> def test_fail_previously_opted_out(self): """If the mother has previously opted out, and hasn't c...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ValidateMomConnectImportTests: def test_success(self, upload_momconnect_import): """If the validation passes, then should be updated to validation complete""" responses.add(responses.GET, 'https://textit.in/api/v2/contacts.json?urn=whatsapp%3A27820001001', json={'results': [], 'next': None}) ...

the_stack_v2_python_sparse

eventstore/test_tasks.py

praekeltfoundation/ndoh-hub

train

0

b12b681a6313ab11bcef6a1a6b762516f17049b9

[ "self._context = context\nself._request = request\nself._dao = dao()", "logger.debug('%s: args = %s', func_name(self), ','.join(['{}={}'.format(k, v) for k, v in self._request.params.items()]))\nquery_params = {}\nact_type = self._request.matchdict['type']\nsearch_type = self._request.params['event_type']\nsearch...

<|body_start_0|> self._context = context self._request = request self._dao = dao() <|end_body_0|> <|body_start_1|> logger.debug('%s: args = %s', func_name(self), ','.join(['{}={}'.format(k, v) for k, v in self._request.params.items()])) query_params = {} act_type = self....

View Callable for managing events

EventServiceRest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032004

5,481

no_license

[ { "docstring": "DAO dependency will be injected from dao arg", "name": "__init__", "signature": "def __init__(self, context, request, dao=ActDao)" }, { "docstring": "Fetch Acts that match the given query parameters", "name": "get_acts", "signature": "def get_acts(self)" } ]

2

null

Implement the Python class `EventServiceRest` described below. Class description: View Callable for managing events Method signatures and docstrings: - def __init__(self, context, request, dao=ActDao): DAO dependency will be injected from dao arg - def get_acts(self): Fetch Acts that match the given query parameters

Implement the Python class `EventServiceRest` described below. Class description: View Callable for managing events Method signatures and docstrings: - def __init__(self, context, request, dao=ActDao): DAO dependency will be injected from dao arg - def get_acts(self): Fetch Acts that match the given query parameters ...

202f7cc4cae684461f1ec2c2c497ef20211b3e5e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EventServiceRest: """View Callable for managing events""" def __init__(self, context, request, dao=ActDao): """DAO dependency will be injected from dao arg""" self._context = context self._request = request self._dao = dao() def get_acts(self): """Fetch Acts t...

the_stack_v2_python_sparse

exercises/ex08_multiprocessing/ticketmanor/rest_services/event_service.py

mwoinoski/crs1906

train

1

20fb6df0ddfd116f9183798b8179acfb48416353

[ "startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('jkmoy_mfflynn', 'jkmoy_mfflynn')\nurl = 'https://data.boston.gov/datastore/odata3.0/92f18923-d4ec-4c17-9405-4e0da63e1d6c?$format=json'\nresponse = urllib.request.urlopen(url).read().decode('utf-8')\nr = ...

<|body_start_0|> startTime = datetime.datetime.now() client = dml.pymongo.MongoClient() repo = client.repo repo.authenticate('jkmoy_mfflynn', 'jkmoy_mfflynn') url = 'https://data.boston.gov/datastore/odata3.0/92f18923-d4ec-4c17-9405-4e0da63e1d6c?$format=json' response = u...

accidents

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class accidents: def execute(trial=False): """Retrieve some data sets (not using the API here for the sake of simplicity).""" <|body_0|> def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None): """Create the provenance document describing everything hap...

stack_v2_sparse_classes_36k_train_032005

4,996

no_license

[ { "docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).", "name": "execute", "signature": "def execute(trial=False)" }, { "docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d...

2

null

Implement the Python class `accidents` described below. Class description: Implement the accidents class. Method signatures and docstrings: - def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity). - def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=N...

90284cf3debbac36eead07b8d2339cdd191b86cf

<|skeleton|> class accidents: def execute(trial=False): """Retrieve some data sets (not using the API here for the sake of simplicity).""" <|body_0|> def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None): """Create the provenance document describing everything hap...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class accidents: def execute(trial=False): """Retrieve some data sets (not using the API here for the sake of simplicity).""" startTime = datetime.datetime.now() client = dml.pymongo.MongoClient() repo = client.repo repo.authenticate('jkmoy_mfflynn', 'jkmoy_mfflynn') ...

the_stack_v2_python_sparse

jkmoy_mfflynn/accidents.py

maximega/course-2019-spr-proj

train

2

40efef0d9fa06f4f4510596938f20e5d60e2b26a

[ "if metric:\n return self.plot(metric)\nreturn self.list_metrics()", "metrics = cherrypy.engine.publish('metrics:inventory').pop()\nreports = {}\nif pathlib.Path('apps/static/mypy').is_dir():\n reports['MyPy'] = cherrypy.engine.publish('app_url', '/static/mypy/index.html').pop()\nif pathlib.Path('apps/stati...

<|body_start_0|> if metric: return self.plot(metric) return self.list_metrics() <|end_body_0|> <|body_start_1|> metrics = cherrypy.engine.publish('metrics:inventory').pop() reports = {} if pathlib.Path('apps/static/mypy').is_dir(): reports['MyPy'] = cherr...

Controller

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032006

3,707

no_license

[ { "docstring": "Dispatch to a sub-handler.", "name": "GET", "signature": "def GET(self, metric: str='', **_kwargs: str) -> bytes" }, { "docstring": "Display a list of metrics.", "name": "list_metrics", "signature": "def list_metrics() -> bytes" }, { "docstring": "Display a single...

3

stack_v2_sparse_classes_30k_val_001045

Implement the Python class `Controller` described below. Class description: Implement the Controller class. Method signatures and docstrings: - def GET(self, metric: str='', **_kwargs: str) -> bytes: Dispatch to a sub-handler. - def list_metrics() -> bytes: Display a list of metrics. - def plot(metric: str) -> bytes:...

7129415303b94d5d10b2c29ec432f0c7d41cc651

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Controller: def GET(self, metric: str='', **_kwargs: str) -> bytes: """Dispatch to a sub-handler.""" if metric: return self.plot(metric) return self.list_metrics() def list_metrics() -> bytes: """Display a list of metrics.""" metrics = cherrypy.engine.p...

the_stack_v2_python_sparse

apps/metrics/main.py

lovett/medley

train

6

8e2d37d3848a28427cf801da86557efa125ccf88

[ "try:\n natController = NatController()\n json_data = json.dumps(natController.get_floating_ip_private_address(id))\n resp = Response(json_data, status=200, mimetype='application/json')\n return resp\nexcept ValueError as ve:\n logging.debug(ve)\n return Response(status=404)\nexcept Exception as e...

<|body_start_0|> try: natController = NatController() json_data = json.dumps(natController.get_floating_ip_private_address(id)) resp = Response(json_data, status=200, mimetype='application/json') return resp except ValueError as ve: logging.deb...

Nat_FloatingIP_PrivateAddress

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032007

6,500

no_license

[ { "docstring": "Gets the Floating IP private address parameter", "name": "get", "signature": "def get(self, id=None)" }, { "docstring": "Update the Floating IP private address parameter", "name": "put", "signature": "def put(self, id)" } ]

2

stack_v2_sparse_classes_30k_train_011248

Implement the Python class `Nat_FloatingIP_PrivateAddress` described below. Class description: Implement the Nat_FloatingIP_PrivateAddress class. Method signatures and docstrings: - def get(self, id=None): Gets the Floating IP private address parameter - def put(self, id): Update the Floating IP private address param...

b543ca1f90e1463a08e15ab45c7248e1db238327

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Nat_FloatingIP_PrivateAddress: def get(self, id=None): """Gets the Floating IP private address parameter""" try: natController = NatController() json_data = json.dumps(natController.get_floating_ip_private_address(id)) resp = Response(json_data, status=200, ...

the_stack_v2_python_sparse

configuration-agent/nat/rest_api/resources/floating_ip.py

piscoroma/Configurable-VNF

train

0

6df3c248f181cedd71ff960516e56a2f6053cf5e

[ "params = get_params(locals())\nraw_result = await self.api_request('get', params)\nif return_raw_response:\n return raw_result\nresult = NotificationsGetResponse(**raw_result)\nreturn result", "params = get_params(locals())\nraw_result = await self.api_request('markAsViewed', params)\nif return_raw_response:\...

Notifications

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Notifications: async def get(self, return_raw_response: bool=False, count: typing.Optional[int]=None, start_from: typing.Optional[str]=None, filters: typing.Optional[typing.List[str]]=None, start_time: typing.Optional[int]=None, end_time: typing.Optional[int]=None) -> typing.Union[dict, Notifica...

stack_v2_sparse_classes_36k_train_032008

2,879

permissive

[ { "docstring": ":param count: - Number of notifications to return. :param start_from: :param filters: - Type of notifications to return: 'wall' — wall posts, 'mentions' — mentions in wall posts, comments, or topics, 'comments' — comments to wall posts, photos, and videos, 'likes' — likes, 'reposted' — wall post...

3

stack_v2_sparse_classes_30k_train_000450

Implement the Python class `Notifications` described below. Class description: Implement the Notifications class. Method signatures and docstrings: - async def get(self, return_raw_response: bool=False, count: typing.Optional[int]=None, start_from: typing.Optional[str]=None, filters: typing.Optional[typing.List[str]]...

d88311a680e52faf04f3a18f9c5b381ee9e94a8f

<|skeleton|> class Notifications: async def get(self, return_raw_response: bool=False, count: typing.Optional[int]=None, start_from: typing.Optional[str]=None, filters: typing.Optional[typing.List[str]]=None, start_time: typing.Optional[int]=None, end_time: typing.Optional[int]=None) -> typing.Union[dict, Notifica...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Notifications: async def get(self, return_raw_response: bool=False, count: typing.Optional[int]=None, start_from: typing.Optional[str]=None, filters: typing.Optional[typing.List[str]]=None, start_time: typing.Optional[int]=None, end_time: typing.Optional[int]=None) -> typing.Union[dict, NotificationsGetRespon...

the_stack_v2_python_sparse

vkwave/api/methods/notifications.py

prog1ckg/vkwave

train

0

a30473da673e472eb7249bc50bfdef62e0d0d77d

[ "xmin = 3\nxmax = 4\nymin = 3\nymax = 4\nNx = 1000\nNy = 1000\nmax_escape_time = 100\nplot_filename = 'None'\ntruth = np.zeros((Nx, Ny))\ntest = compute_mandelbrot(xmin, xmax, ymin, ymax, Nx, Ny, max_escape_time, plot_filename)\nself.assertTrue((truth == test).all(), True)", "xmin = -0.1\nxmax = 0.1\nymin = -0.1\...

<|body_start_0|> xmin = 3 xmax = 4 ymin = 3 ymax = 4 Nx = 1000 Ny = 1000 max_escape_time = 100 plot_filename = 'None' truth = np.zeros((Nx, Ny)) test = compute_mandelbrot(xmin, xmax, ymin, ymax, Nx, Ny, max_escape_time, plot_filename) ...

TestMandelbrot

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032009

1,004

no_license

[ { "docstring": "Tests if the user defined area is entirely outside of the mandelbrotset.", "name": "test_if_outside_set", "signature": "def test_if_outside_set(self)" }, { "docstring": "Tests if the user defined area is entirely inside of the mandelbrotset.", "name": "test_if_inside_set", ...

2

stack_v2_sparse_classes_30k_train_009426

Implement the Python class `TestMandelbrot` described below. Class description: Implement the TestMandelbrot class. Method signatures and docstrings: - def test_if_outside_set(self): Tests if the user defined area is entirely outside of the mandelbrotset. - def test_if_inside_set(self): Tests if the user defined area...

61c64ad8ab246e4f9ee058441e898f2fbef56ce3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestMandelbrot: def test_if_outside_set(self): """Tests if the user defined area is entirely outside of the mandelbrotset.""" xmin = 3 xmax = 4 ymin = 3 ymax = 4 Nx = 1000 Ny = 1000 max_escape_time = 100 plot_filename = 'None' tru...

the_stack_v2_python_sparse

mandelbrot/test_mandelbrot.py

nirusant/python_projects

train

0

413f1bb04e3ccbe71eeefac579cac4f5161b7e4b

[ "model = self.env['metro_park_maintenance.train_dev']\nfor train in self.train_dev_id:\n record = model.browse(train.id)\n old_miles = record.miles\n record.miles = self.miles\n record_mode = self.env['metro_park_maintenance.operation_record']\n tm = pendulum.now()\n date = tm.format('YYYY/MM/DD')...

<|body_start_0|> model = self.env['metro_park_maintenance.train_dev'] for train in self.train_dev_id: record = model.browse(train.id) old_miles = record.miles record.miles = self.miles record_mode = self.env['metro_park_maintenance.operation_record'] ...

公里数录入

TrainMilesSetWizard

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032010

2,880

no_license

[ { "docstring": "设置公里数 :return:", "name": "on_ok", "signature": "def on_ok(self)" }, { "docstring": "设置预估公里数的年度目标 :return:", "name": "on_click", "signature": "def on_click(self)" } ]

2

null

Implement the Python class `TrainMilesSetWizard` described below. Class description: 公里数录入 Method signatures and docstrings: - def on_ok(self): 设置公里数 :return: - def on_click(self): 设置预估公里数的年度目标 :return:

Implement the Python class `TrainMilesSetWizard` described below. Class description: 公里数录入 Method signatures and docstrings: - def on_ok(self): 设置公里数 :return: - def on_click(self): 设置预估公里数的年度目标 :return: <|skeleton|> class TrainMilesSetWizard: """公里数录入""" def on_ok(self): """设置公里数 :return:""" ...

13b428a5c4ade6278e3e5e996ef10d9fb0fea4b9

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TrainMilesSetWizard: """公里数录入""" def on_ok(self): """设置公里数 :return:""" model = self.env['metro_park_maintenance.train_dev'] for train in self.train_dev_id: record = model.browse(train.id) old_miles = record.miles record.miles = self.miles ...

the_stack_v2_python_sparse

mdias_addons/metro_park_maintenance/models/train_miles_set_wizard.py

rezaghanimi/main_mdias

train

0

6ef174debc9c4df53079af9f9de8035078221814

[ "heapq.heapify(nums)\nfor _ in range(len(nums) + 1 - k):\n elem = heapq.heappop(nums)\nreturn elem", "heapq.heapify(nums)\nk_largest = heapq.nlargest(k, nums)\nreturn k_largest[-1]" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032011

2,345

no_license

[ { "docstring": ":type nums: List[int] :type k: int :rtype: int", "name": "findKthLargest", "signature": "def findKthLargest(self, nums, k)" }, { "docstring": ":type nums: List[int] :type k: int :rtype: int", "name": "findKthLargest", "signature": "def findKthLargest(self, nums, k)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int - def findKthLargest(self, nums, k): :type nums: List[int] :type k: int :rtype: int <|skeleton|...

844f502da4d6fb9cd69cf0a1ef71da3385a4d2b4

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findKthLargest(self, nums, k): """:type nums: List[int] :type k: int :rtype: int""" heapq.heapify(nums) for _ in range(len(nums) + 1 - k): elem = heapq.heappop(nums) return elem def findKthLargest(self, nums, k): """:type nums: List[int] :...

the_stack_v2_python_sparse

215-kth_largest_elem_in_array.py

stevestar888/leetcode-problems

train

2

0eefcafceb04ac96823a081e0fcd61afcfc3b498

[ "self.trophy = ImageObject(screen_width // 2, screen_height // 5 + screen_height // 15, 50, 50, VictoryScreen.sprites[1], debug)\nself.question_mark = ImageObject(screen_width // 2, screen_height // 5 + screen_height // 15, 50, 50, VictoryScreen.sprites[0], debug)\nself.tracker = achievement_tracker\nself.refreshed...

<|body_start_0|> self.trophy = ImageObject(screen_width // 2, screen_height // 5 + screen_height // 15, 50, 50, VictoryScreen.sprites[1], debug) self.question_mark = ImageObject(screen_width // 2, screen_height // 5 + screen_height // 15, 50, 50, VictoryScreen.sprites[0], debug) self.tracker = a...

AchievementScreen

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AchievementScreen: def __init__(self, screen_width: int, screen_height: int, screen, fps, achievement_tracker, debug: bool=False): """Constructor for the powerup instructions screen""" <|body_0|> def preprocess(self): """Load other variables which will be used later"...

stack_v2_sparse_classes_36k_train_032012

4,205

permissive

[ { "docstring": "Constructor for the powerup instructions screen", "name": "__init__", "signature": "def __init__(self, screen_width: int, screen_height: int, screen, fps, achievement_tracker, debug: bool=False)" }, { "docstring": "Load other variables which will be used later", "name": "prep...

6

null

Implement the Python class `AchievementScreen` described below. Class description: Implement the AchievementScreen class. Method signatures and docstrings: - def __init__(self, screen_width: int, screen_height: int, screen, fps, achievement_tracker, debug: bool=False): Constructor for the powerup instructions screen ...

6f8f2da4fd26ef1d77c0c6183230c3a5e6bf0bb9

<|skeleton|> class AchievementScreen: def __init__(self, screen_width: int, screen_height: int, screen, fps, achievement_tracker, debug: bool=False): """Constructor for the powerup instructions screen""" <|body_0|> def preprocess(self): """Load other variables which will be used later"...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AchievementScreen: def __init__(self, screen_width: int, screen_height: int, screen, fps, achievement_tracker, debug: bool=False): """Constructor for the powerup instructions screen""" self.trophy = ImageObject(screen_width // 2, screen_height // 5 + screen_height // 15, 50, 50, VictoryScreen....

the_stack_v2_python_sparse

Space_Invaders/classes/Game/Instructions/AchievementsScreen.py

Jh123x/Orbital

train

4

7ab22ed3cff3fb28a7afe9152499246650c131bc

[ "super().__init__(**kwargs)\nif not isinstance(ignore_rbi_delays, bool):\n raise ValueError(\"'ignore_rbi_delays' parameter should be boolean.\")\ndefault_rbi_delays = {'00': 32, '01': 40, '35': 20, '86': 19, '91': 20, '99': 69}\nif per_rbi_delays is None:\n per_rbi_delays = {}\nelif ignore_rbi_delays:\n r...

<|body_start_0|> super().__init__(**kwargs) if not isinstance(ignore_rbi_delays, bool): raise ValueError("'ignore_rbi_delays' parameter should be boolean.") default_rbi_delays = {'00': 32, '01': 40, '35': 20, '86': 19, '91': 20, '99': 69} if per_rbi_delays is None: ...

Implementation of the GSMANotFound classification dimension.

GSMANotFound

[ "BSD-3-Clause-Clear" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GSMANotFound: """Implementation of the GSMANotFound classification dimension.""" def __init__(self, *, per_rbi_delays=None, ignore_rbi_delays=False, **kwargs): """Constructor.""" <|body_0|> def _matching_imeis_sql(self, conn, app_config, virt_imei_range_start, virt_imei_...

stack_v2_sparse_classes_36k_train_032013

7,065

permissive

[ { "docstring": "Constructor.", "name": "__init__", "signature": "def __init__(self, *, per_rbi_delays=None, ignore_rbi_delays=False, **kwargs)" }, { "docstring": "Overrides Dimension._matching_imeis_sql.", "name": "_matching_imeis_sql", "signature": "def _matching_imeis_sql(self, conn, a...

2

stack_v2_sparse_classes_30k_train_004839

Implement the Python class `GSMANotFound` described below. Class description: Implementation of the GSMANotFound classification dimension. Method signatures and docstrings: - def __init__(self, *, per_rbi_delays=None, ignore_rbi_delays=False, **kwargs): Constructor. - def _matching_imeis_sql(self, conn, app_config, v...

6b48457715338cce4eb6b3948940297ebd789189

<|skeleton|> class GSMANotFound: """Implementation of the GSMANotFound classification dimension.""" def __init__(self, *, per_rbi_delays=None, ignore_rbi_delays=False, **kwargs): """Constructor.""" <|body_0|> def _matching_imeis_sql(self, conn, app_config, virt_imei_range_start, virt_imei_...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GSMANotFound: """Implementation of the GSMANotFound classification dimension.""" def __init__(self, *, per_rbi_delays=None, ignore_rbi_delays=False, **kwargs): """Constructor.""" super().__init__(**kwargs) if not isinstance(ignore_rbi_delays, bool): raise ValueError("'...

the_stack_v2_python_sparse

src/dirbs/dimensions/gsma_not_found.py

bryang-qti-qualcomm/DIRBS-Core

train

0

fb5d1c35004953147bdfefd4119ef421237d3fc0

[ "self.bridge = ROSBridge()\nself.service_name = service_name\nself.model_generator = PIFuGeneratorLearner(device=device, checkpoint_dir=checkpoint_dir)", "rospy.init_node('opendr_human_model_generation', anonymous=True)\nrospy.Service('human_model_generation', Mesh_vc, self.handle_human_model_generation)\nrospy.l...

PifuNode

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PifuNode: def __init__(self, service_name='human_model_generation', device='cuda', checkpoint_dir='.'): """Creates a ROS Node for pose detection :param 'human_model_generation': The name of the service :type input_image_topic: str :param device: device on which we are running inference (...

stack_v2_sparse_classes_36k_train_032014

3,298

permissive

[ { "docstring": "Creates a ROS Node for pose detection :param 'human_model_generation': The name of the service :type input_image_topic: str :param device: device on which we are running inference ('cpu' or 'cuda') :type device: str :param checkpoint_dir: the directory where the PIFu weights will be downloaded/l...

3

null

Implement the Python class `PifuNode` described below. Class description: Implement the PifuNode class. Method signatures and docstrings: - def __init__(self, service_name='human_model_generation', device='cuda', checkpoint_dir='.'): Creates a ROS Node for pose detection :param 'human_model_generation': The name of t...

b3d6ce670cdf63469fc5766630eb295d67b3d788

<|skeleton|> class PifuNode: def __init__(self, service_name='human_model_generation', device='cuda', checkpoint_dir='.'): """Creates a ROS Node for pose detection :param 'human_model_generation': The name of the service :type input_image_topic: str :param device: device on which we are running inference (...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PifuNode: def __init__(self, service_name='human_model_generation', device='cuda', checkpoint_dir='.'): """Creates a ROS Node for pose detection :param 'human_model_generation': The name of the service :type input_image_topic: str :param device: device on which we are running inference ('cpu' or 'cuda...

the_stack_v2_python_sparse

projects/opendr_ws/src/opendr_simulation/scripts/human_model_generation_service.py

opendr-eu/opendr

train

535

01cda23f1541d885ff24899f2d840e19b88284b3

[ "result = []\nfor i in range(0, len(nums) + 1):\n result += self.combinationSolo(nums, i)\nreturn result", "nums = sorted(nums)\nif k == 0:\n return [[]]\nelif k == len(nums):\n return [nums]\nelif k == 1:\n result = []\n for i in nums:\n if [i] not in result:\n result.append([i])...

Solution_B

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution_B: def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: """With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run""" <|body_0|> def combinationSolo(self, nums: List[int], k: int) -> ...

stack_v2_sparse_classes_36k_train_032015

4,175

permissive

[ { "docstring": "With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run", "name": "subsetsWithDup", "signature": "def subsetsWithDup(self, nums: List[int]) -> List[List[int]]" }, { "docstring": "Helper for A1, refer to LC0...

2

stack_v2_sparse_classes_30k_train_020349

Implement the Python class `Solution_B` described below. Class description: Implement the Solution_B class. Method signatures and docstrings: - def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove dupl...

143422321cbc3715ca08f6c3af8f960a55887ced

<|skeleton|> class Solution_B: def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: """With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run""" <|body_0|> def combinationSolo(self, nums: List[int], k: int) -> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution_B: def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: """With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run""" result = [] for i in range(0, len(nums) + 1): result += self.com...

the_stack_v2_python_sparse

LeetCode/LC090_subsets_ii.py

jxie0755/Learning_Python

train

0

3a4fb159f3c2e3c8e62fdba7aa3bc4042e903955

[ "max_sum = nums[0]\ncurrent_sum = nums[0]\nfor n in nums[1:]:\n current_sum = max(current_sum + n, n)\n max_sum = max(max_sum, current_sum)\nreturn max_sum", "if max(nums) < 0:\n return max(nums)\nglobal_max, local_max = (float('-inf'), 0)\nfor x in nums:\n local_max = max(0, local_max + x)\n globa...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032016

2,296

no_license

[ { "docstring": ":type nums: List[int] :rtype: int", "name": "maxSubArray", "signature": "def maxSubArray(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: int", "name": "maxSubArray_verbose", "signature": "def maxSubArray_verbose(self, nums)" }, { "docstring": ":type ...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxSubArray(self, nums): :type nums: List[int] :rtype: int - def maxSubArray_verbose(self, nums): :type nums: List[int] :rtype: int - def maxSubArray_dp(self, nums): :type nu...

e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxSubArray(self, nums): """:type nums: List[int] :rtype: int""" max_sum = nums[0] current_sum = nums[0] for n in nums[1:]: current_sum = max(current_sum + n, n) max_sum = max(max_sum, current_sum) return max_sum def maxSubArra...

the_stack_v2_python_sparse

src/lt_53.py

oxhead/CodingYourWay

train

0

fdf29d115289758c0fc2b00344f357292e489ce7

[ "test = '5 6\\n1 2\\n1 3\\n2 3\\n2 4\\n3 4\\n4 5'\nd = Musk(test)\nself.assertEqual(d.n, 5)\nself.assertEqual(d.m, 6)\nself.assertEqual(d.numa, [0, 0, 1, 1, 2, 3])\nself.assertEqual(d.numb, [1, 2, 2, 3, 3, 4])\nself.assertEqual(d.sets[0], {1, 2})\nself.assertEqual(d.sets[3], {1, 2, 4})\nself.assertEqual(Musk(test)....

<|body_start_0|> test = '5 6\n1 2\n1 3\n2 3\n2 4\n3 4\n4 5' d = Musk(test) self.assertEqual(d.n, 5) self.assertEqual(d.m, 6) self.assertEqual(d.numa, [0, 0, 1, 1, 2, 3]) self.assertEqual(d.numb, [1, 2, 2, 3, 3, 4]) self.assertEqual(d.sets[0], {1, 2}) self....

unitTests

[ "Unlicense", "LicenseRef-scancode-public-domain" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032017

3,953

permissive

[ { "docstring": "Musk class testing", "name": "test_single_test", "signature": "def test_single_test(self)" }, { "docstring": "Timelimit testing", "name": "time_limit_test", "signature": "def time_limit_test(self, nmax)" } ]

2

stack_v2_sparse_classes_30k_train_007964

Implement the Python class `unitTests` described below. Class description: Implement the unitTests class. Method signatures and docstrings: - def test_single_test(self): Musk class testing - def time_limit_test(self, nmax): Timelimit testing

Implement the Python class `unitTests` described below. Class description: Implement the unitTests class. Method signatures and docstrings: - def test_single_test(self): Musk class testing - def time_limit_test(self, nmax): Timelimit testing <|skeleton|> class unitTests: def test_single_test(self): """M...

ae02ea872ca91ef98630cc172a844b82cc56f621

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class unitTests: def test_single_test(self): """Musk class testing""" test = '5 6\n1 2\n1 3\n2 3\n2 4\n3 4\n4 5' d = Musk(test) self.assertEqual(d.n, 5) self.assertEqual(d.m, 6) self.assertEqual(d.numa, [0, 0, 1, 1, 2, 3]) self.assertEqual(d.numb, [1, 2, 2, 3,...

the_stack_v2_python_sparse

codeforces/574B_musk.py

snsokolov/contests

train

1

5dc4e213daef57cb10919bb09b98075aeb004d7a

[ "dummy = ListNode(float('-inf'))\nfor i in lists:\n dummy = self.merge_two(dummy, i)\nreturn dummy.next", "curr = dummy = ListNode('X')\nwhile l1 and l2:\n if l1.val < l2.val:\n curr.next, l1 = (l1, l1.next)\n else:\n curr.next, l2 = (l2, l2.next)\n curr = curr.next\ncurr.next = l1 or l2...

SolutionC1

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SolutionC1: def mergeKLists(self, lists: List[ListNode]) -> ListNode: """use merge two list, then use it multiple times 但是这个合并的方法偏慢, 相当于要流经的重复节点太多次了""" <|body_0|> def merge_two(self, l1: ListNode, l2: ListNode) -> ListNode: """Helper for Solution C1 and C2 (now set o...

stack_v2_sparse_classes_36k_train_032018

4,145

permissive

[ { "docstring": "use merge two list, then use it multiple times 但是这个合并的方法偏慢, 相当于要流经的重复节点太多次了", "name": "mergeKLists", "signature": "def mergeKLists(self, lists: List[ListNode]) -> ListNode" }, { "docstring": "Helper for Solution C1 and C2 (now set out side of the Solution) merge two sorted linked...

2

stack_v2_sparse_classes_30k_train_001787

Implement the Python class `SolutionC1` described below. Class description: Implement the SolutionC1 class. Method signatures and docstrings: - def mergeKLists(self, lists: List[ListNode]) -> ListNode: use merge two list, then use it multiple times 但是这个合并的方法偏慢, 相当于要流经的重复节点太多次了 - def merge_two(self, l1: ListNode, l2: ...

143422321cbc3715ca08f6c3af8f960a55887ced

<|skeleton|> class SolutionC1: def mergeKLists(self, lists: List[ListNode]) -> ListNode: """use merge two list, then use it multiple times 但是这个合并的方法偏慢, 相当于要流经的重复节点太多次了""" <|body_0|> def merge_two(self, l1: ListNode, l2: ListNode) -> ListNode: """Helper for Solution C1 and C2 (now set o...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SolutionC1: def mergeKLists(self, lists: List[ListNode]) -> ListNode: """use merge two list, then use it multiple times 但是这个合并的方法偏慢, 相当于要流经的重复节点太多次了""" dummy = ListNode(float('-inf')) for i in lists: dummy = self.merge_two(dummy, i) return dummy.next def merge_...

the_stack_v2_python_sparse

LeetCode/LC023_merge_k_sorted_list.py

jxie0755/Learning_Python

train

0

b20be1ba3f7ed3d9b7920ff4878b202dab6e8655

[ "result = await self.get_attribute_value('current_position_lift_percentage', from_cache=False)\nself.debug('read current position: %s', result)\nif result is not None:\n self.async_send_signal(f'{self.unique_id}_{SIGNAL_ATTR_UPDATED}', 8, 'current_position_lift_percentage', result)", "attr_name = self._get_att...

<|body_start_0|> result = await self.get_attribute_value('current_position_lift_percentage', from_cache=False) self.debug('read current position: %s', result) if result is not None: self.async_send_signal(f'{self.unique_id}_{SIGNAL_ATTR_UPDATED}', 8, 'current_position_lift_percentage...

Window cluster handler.

WindowCovering

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032019

5,467

permissive

[ { "docstring": "Retrieve latest state.", "name": "async_update", "signature": "async def async_update(self)" }, { "docstring": "Handle attribute update from window_covering cluster.", "name": "attribute_updated", "signature": "def attribute_updated(self, attrid: int, value: Any, _: Any) ...

2

null

Implement the Python class `WindowCovering` described below. Class description: Window cluster handler. Method signatures and docstrings: - async def async_update(self): Retrieve latest state. - def attribute_updated(self, attrid: int, value: Any, _: Any) -> None: Handle attribute update from window_covering cluster.

Implement the Python class `WindowCovering` described below. Class description: Window cluster handler. Method signatures and docstrings: - async def async_update(self): Retrieve latest state. - def attribute_updated(self, attrid: int, value: Any, _: Any) -> None: Handle attribute update from window_covering cluster....

80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WindowCovering: """Window cluster handler.""" async def async_update(self): """Retrieve latest state.""" result = await self.get_attribute_value('current_position_lift_percentage', from_cache=False) self.debug('read current position: %s', result) if result is not None: ...

the_stack_v2_python_sparse

homeassistant/components/zha/core/cluster_handlers/closures.py

home-assistant/core

train

35,501

01c70a3ce64a35861398a6fded9db64d12ec285e

[ "if arch_code is None:\n warnings.warn('arch_code not provided when not searching.')\nsuper().__init__(arch_code=arch_code, channel_mul=channel_mul, cell=cell, num_blocks=num_blocks, num_depths=num_depths, spatial_dims=spatial_dims, act_name=act_name, norm_name=norm_name, use_downsample=use_downsample, device=de...

<|body_start_0|> if arch_code is None: warnings.warn('arch_code not provided when not searching.') super().__init__(arch_code=arch_code, channel_mul=channel_mul, cell=cell, num_blocks=num_blocks, num_depths=num_depths, spatial_dims=spatial_dims, act_name=act_name, norm_name=norm_name, use_do...

Instance of the final searched architecture. Only used in re-training/inference stage.

TopologyInstance

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TopologyInstance: """Instance of the final searched architecture. Only used in re-training/inference stage.""" def __init__(self, arch_code=None, channel_mul: float=1.0, cell=Cell, num_blocks: int=6, num_depths: int=3, spatial_dims: int=3, act_name: tuple | str='RELU', norm_name: tuple | str...

stack_v2_sparse_classes_36k_train_032020

44,771

permissive

[ { "docstring": "Initialize DiNTS topology search space of neural architectures.", "name": "__init__", "signature": "def __init__(self, arch_code=None, channel_mul: float=1.0, cell=Cell, num_blocks: int=6, num_depths: int=3, spatial_dims: int=3, act_name: tuple | str='RELU', norm_name: tuple | str=('INST...

2

stack_v2_sparse_classes_30k_train_003682

Implement the Python class `TopologyInstance` described below. Class description: Instance of the final searched architecture. Only used in re-training/inference stage. Method signatures and docstrings: - def __init__(self, arch_code=None, channel_mul: float=1.0, cell=Cell, num_blocks: int=6, num_depths: int=3, spati...

e48c3e2c741fa3fc705c4425d17ac4a5afac6c47

<|skeleton|> class TopologyInstance: """Instance of the final searched architecture. Only used in re-training/inference stage.""" def __init__(self, arch_code=None, channel_mul: float=1.0, cell=Cell, num_blocks: int=6, num_depths: int=3, spatial_dims: int=3, act_name: tuple | str='RELU', norm_name: tuple | str...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TopologyInstance: """Instance of the final searched architecture. Only used in re-training/inference stage.""" def __init__(self, arch_code=None, channel_mul: float=1.0, cell=Cell, num_blocks: int=6, num_depths: int=3, spatial_dims: int=3, act_name: tuple | str='RELU', norm_name: tuple | str=('INSTANCE',...

the_stack_v2_python_sparse

monai/networks/nets/dints.py

Project-MONAI/MONAI

train

4,805

2fc7f12b22a41be1f79d3732d18a82c818a8f2e9

[ "super().__init__(name=name)\nself.input_size = None\nself.output_size = output_size\nself.with_bias = with_bias\nself.w_init = w_init\nself.b_init = b_init or jnp.zeros", "if not inputs.shape:\n raise ValueError('Input must not be scalar.')\ninput_size = self.input_size = inputs.shape[-1]\noutput_size = self....

Linear module.

Linear

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Linear: """Linear module.""" def __init__(self, output_size: int, with_bias: bool=True, w_init: Optional[hk.initializers.Initializer]=None, b_init: Optional[hk.initializers.Initializer]=None, name: Optional[str]=None): """Constructs the Linear module. Args: output_size: Output dimens...

stack_v2_sparse_classes_36k_train_032021

11,578

permissive

[ { "docstring": "Constructs the Linear module. Args: output_size: Output dimensionality. with_bias: Whether to add a bias to the output. w_init: Optional initializer for weights. By default, uses random values from truncated normal, with stddev ``1 / sqrt(fan_in)``. See https://arxiv.org/abs/1502.03167v3. b_init...

2

stack_v2_sparse_classes_30k_train_002811

Implement the Python class `Linear` described below. Class description: Linear module. Method signatures and docstrings: - def __init__(self, output_size: int, with_bias: bool=True, w_init: Optional[hk.initializers.Initializer]=None, b_init: Optional[hk.initializers.Initializer]=None, name: Optional[str]=None): Const...

66f9c69353a6259a3523875fdc24ca35c5f27131

<|skeleton|> class Linear: """Linear module.""" def __init__(self, output_size: int, with_bias: bool=True, w_init: Optional[hk.initializers.Initializer]=None, b_init: Optional[hk.initializers.Initializer]=None, name: Optional[str]=None): """Constructs the Linear module. Args: output_size: Output dimens...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Linear: """Linear module.""" def __init__(self, output_size: int, with_bias: bool=True, w_init: Optional[hk.initializers.Initializer]=None, b_init: Optional[hk.initializers.Initializer]=None, name: Optional[str]=None): """Constructs the Linear module. Args: output_size: Output dimensionality. wit...

the_stack_v2_python_sparse

haiku/_src/basic.py

arita37/dm-haiku

train

1

1c6315bf1ee497701ab03a0319aa9cf1024b13f0

[ "url = '/success/'\nresponse = self.client.get(url, HTTP_HOST='website.domain')\nself.assertEqual(response.status_code, 302)", "url = '/success/'\nself.client.login(username=self.adminUN, password='pass')\nresponse = self.client.get(url, HTTP_HOST='website.domain')\nself.assertEqual(response.status_code, 302)", ...

SuccessTestCase

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SuccessTestCase: def test_not_logged_in(self): """Test that the success view will redirect whilst not logged in and no booking made.""" <|body_0|> def test_logged_in_admin(self): """Test that the success view will redirect whilst logged in as admin and no booking mad...

stack_v2_sparse_classes_36k_train_032022

26,818

permissive

[ { "docstring": "Test that the success view will redirect whilst not logged in and no booking made.", "name": "test_not_logged_in", "signature": "def test_not_logged_in(self)" }, { "docstring": "Test that the success view will redirect whilst logged in as admin and no booking made.", "name": ...

3

null

Implement the Python class `SuccessTestCase` described below. Class description: Implement the SuccessTestCase class. Method signatures and docstrings: - def test_not_logged_in(self): Test that the success view will redirect whilst not logged in and no booking made. - def test_logged_in_admin(self): Test that the suc...

37d2942efcbdaad072f7a06ac876a40e0f69f702

<|skeleton|> class SuccessTestCase: def test_not_logged_in(self): """Test that the success view will redirect whilst not logged in and no booking made.""" <|body_0|> def test_logged_in_admin(self): """Test that the success view will redirect whilst logged in as admin and no booking mad...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SuccessTestCase: def test_not_logged_in(self): """Test that the success view will redirect whilst not logged in and no booking made.""" url = '/success/' response = self.client.get(url, HTTP_HOST='website.domain') self.assertEqual(response.status_code, 302) def test_logged...

the_stack_v2_python_sparse

mooring/test_views.py

dbca-wa/moorings

train

0

466d0babc55ba3949ae0ebac5e065a43cdaf27b7

[ "token = AccessToken(app_id, app_certificate, expire=expire)\nchar_user_id = get_md5(user_uuid)\neducation_service = ServiceEducation(room_uuid, user_uuid, role)\neducation_service.add_privilege(ServiceEducation.kPrivilegeRoomUser, expire)\ntoken.add_service(education_service)\nrtm_service = ServiceRtm(user_uuid)\n...

<|body_start_0|> token = AccessToken(app_id, app_certificate, expire=expire) char_user_id = get_md5(user_uuid) education_service = ServiceEducation(room_uuid, user_uuid, role) education_service.add_privilege(ServiceEducation.kPrivilegeRoomUser, expire) token.add_service(education...

EducationTokenBuilder

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EducationTokenBuilder: def build_room_user_token(app_id, app_certificate, room_uuid, user_uuid, role, expire): """Build user room token :param app_id: The App ID issued to you by Agora. Apply for a new App ID from Agora Dashboard if it is missing from your kit. See Get an App ID. :param ...

stack_v2_sparse_classes_36k_train_032023

3,863

permissive

[ { "docstring": "Build user room token :param app_id: The App ID issued to you by Agora. Apply for a new App ID from Agora Dashboard if it is missing from your kit. See Get an App ID. :param app_certificate: Certificate of the application that you registered in the Agora Dashboard. See Get an App Certificate. :p...

3

stack_v2_sparse_classes_30k_test_000977

Implement the Python class `EducationTokenBuilder` described below. Class description: Implement the EducationTokenBuilder class. Method signatures and docstrings: - def build_room_user_token(app_id, app_certificate, room_uuid, user_uuid, role, expire): Build user room token :param app_id: The App ID issued to you by...

5c800b136f132a92d5f70252aac12e9c32dbf5e7

<|skeleton|> class EducationTokenBuilder: def build_room_user_token(app_id, app_certificate, room_uuid, user_uuid, role, expire): """Build user room token :param app_id: The App ID issued to you by Agora. Apply for a new App ID from Agora Dashboard if it is missing from your kit. See Get an App ID. :param ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EducationTokenBuilder: def build_room_user_token(app_id, app_certificate, room_uuid, user_uuid, role, expire): """Build user room token :param app_id: The App ID issued to you by Agora. Apply for a new App ID from Agora Dashboard if it is missing from your kit. See Get an App ID. :param app_certificat...

the_stack_v2_python_sparse

DynamicKey/AgoraDynamicKey/python3/src/education_token_builder.py

AgoraIO/Tools

train

380

678eac4361b5fc5fc64fb0fa09106dda9f00b893

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn ManagedAppOperation()", "from .entity import Entity\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any], None]] = {'displayName': lambda n: setattr(self, 'display_name', n.get_str_value()), 'lastModifiedDateTime': lambda n: s...

<|body_start_0|> if not parse_node: raise TypeError('parse_node cannot be null.') return ManagedAppOperation() <|end_body_0|> <|body_start_1|> from .entity import Entity from .entity import Entity fields: Dict[str, Callable[[Any], None]] = {'displayName': lambda n: s...

Represents an operation applied against an app registration.

ManagedAppOperation

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ManagedAppOperation: """Represents an operation applied against an app registration.""" def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ManagedAppOperation: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: ...

stack_v2_sparse_classes_36k_train_032024

2,793

permissive

[ { "docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: ManagedAppOperation", "name": "create_from_discriminator_value", "signature": "def create_from_discriminator...

3

null

Implement the Python class `ManagedAppOperation` described below. Class description: Represents an operation applied against an app registration. Method signatures and docstrings: - def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ManagedAppOperation: Creates a new instance of the appropri...

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class ManagedAppOperation: """Represents an operation applied against an app registration.""" def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ManagedAppOperation: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ManagedAppOperation: """Represents an operation applied against an app registration.""" def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ManagedAppOperation: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse nod...

the_stack_v2_python_sparse

msgraph/generated/models/managed_app_operation.py

microsoftgraph/msgraph-sdk-python

train

135

f8b79ee7eaa24fb4f8019d428ddf914a6aed4484

[ "header_parser = ParserDef(end_marker=lambda line, _ln, nextline: line[0:8] == ' Summary', label=lambda line, _ln: line[1:19], parser_def={'Solution refers to': {'parser': self._parse_time, 'fields': {'year': (26, 30), 'month': (31, 33), 'day': (34, 36), 'hours': (37, 39), 'minutes': (40, 42), 'decimaldate': (47, 5...

<|body_start_0|> header_parser = ParserDef(end_marker=lambda line, _ln, nextline: line[0:8] == ' Summary', label=lambda line, _ln: line[1:19], parser_def={'Solution refers to': {'parser': self._parse_time, 'fields': {'year': (26, 30), 'month': (31, 33), 'day': (34, 36), 'hours': (37, 39), 'minutes': (40, 42), '...

A parser for reading gamit org file Attributes: data (Dict): The (observation) data read from file. file_path (Path): Path to the datafile that will be read. meta (Dict): Metainformation read from file. parser_name (String): Name of the parser (as needed to call parsers.parse_...). system (String): GNSS identifier. Met...

GamitOrgParser

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GamitOrgParser: """A parser for reading gamit org file Attributes: data (Dict): The (observation) data read from file. file_path (Path): Path to the datafile that will be read. meta (Dict): Metainformation read from file. parser_name (String): Name of the parser (as needed to call parsers.parse_....

stack_v2_sparse_classes_36k_train_032025

7,461

permissive

[ { "docstring": "Parser defined for reading .org file line by line First the header information are read and afterwards the data block.", "name": "setup_parser", "signature": "def setup_parser(self) -> Iterable[ParserDef]" }, { "docstring": "Parse a line with station coordinates, and add a dictio...

4

stack_v2_sparse_classes_30k_train_005111

Implement the Python class `GamitOrgParser` described below. Class description: A parser for reading gamit org file Attributes: data (Dict): The (observation) data read from file. file_path (Path): Path to the datafile that will be read. meta (Dict): Metainformation read from file. parser_name (String): Name of the pa...

31939afee943273b23fa0a5ef193cfecfa68d6c0

<|skeleton|> class GamitOrgParser: """A parser for reading gamit org file Attributes: data (Dict): The (observation) data read from file. file_path (Path): Path to the datafile that will be read. meta (Dict): Metainformation read from file. parser_name (String): Name of the parser (as needed to call parsers.parse_....

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GamitOrgParser: """A parser for reading gamit org file Attributes: data (Dict): The (observation) data read from file. file_path (Path): Path to the datafile that will be read. meta (Dict): Metainformation read from file. parser_name (String): Name of the parser (as needed to call parsers.parse_...). system (...

the_stack_v2_python_sparse

midgard/parsers/gamit_org.py

kartverket/midgard

train

18

50bd88ae2aa82057df74b52b640e504b817b3e40

[ "if not root:\n return ''\nq = [root]\nres = []\nwhile q:\n node = q.pop(0)\n if not node:\n res.append('X')\n else:\n res.append(str(node.val))\n q.append(node.left)\n q.append(node.right)\nreturn ','.join(res)", "if not data:\n return None\ndata = data.split(',')\nroot...

<|body_start_0|> if not root: return '' q = [root] res = [] while q: node = q.pop(0) if not node: res.append('X') else: res.append(str(node.val)) q.append(node.left) q.append(n...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032026

2,948

no_license

[ { "docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str", "name": "serialize", "signature": "def serialize(self, root)" }, { "docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode", "name": "deserialize", "signature": "def deserializ...

2

null

Implement the Python class `Codec` described below. Class description: Implement the Codec class. Method signatures and docstrings: - def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str - def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:...

021c77ec5a5cec6401154627134192e42d24cd14

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root): """Encodes a tree to a single string. :type root: TreeNode :rtype: str""" if not root: return '' q = [root] res = [] while q: node = q.pop(0) if not node: res.append('X') e...

the_stack_v2_python_sparse

二叉树专辑/297.二叉树的序列化与反序列化.py

Jaeker0512/gocrack-algorithm

train

0

2eeadeedb1f4545810bb4e9bbc02586e4e3df09e

[ "self.from_stop_geo = kwargs['from_stop_geo']\nself.to_stop_geo = kwargs['to_stop_geo']\nself.from_city = kwargs['from_city']\nself.from_stop = kwargs['from_stop'] if kwargs['from_stop'] not in ['__ANY__', 'none'] else None\nself.to_city = kwargs['to_city']\nself.to_stop = kwargs['to_stop'] if kwargs['to_stop'] not...

<|body_start_0|> self.from_stop_geo = kwargs['from_stop_geo'] self.to_stop_geo = kwargs['to_stop_geo'] self.from_city = kwargs['from_city'] self.from_stop = kwargs['from_stop'] if kwargs['from_stop'] not in ['__ANY__', 'none'] else None self.to_city = kwargs['to_city'] se...

Holder for starting and ending point (and other parameters) of travel.

Travel

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Travel: """Holder for starting and ending point (and other parameters) of travel.""" def __init__(self, **kwargs): """Initializing (just filling in data). Accepted keys: from_city, from_stop, to_city, to_stop, vehicle, max_transfers.""" <|body_0|> def get_minimal_info(se...

stack_v2_sparse_classes_36k_train_032027

14,137

permissive

[ { "docstring": "Initializing (just filling in data). Accepted keys: from_city, from_stop, to_city, to_stop, vehicle, max_transfers.", "name": "__init__", "signature": "def __init__(self, **kwargs)" }, { "docstring": "Return minimal waypoints information in the form of a stringified inform() dial...

2

null

Implement the Python class `Travel` described below. Class description: Holder for starting and ending point (and other parameters) of travel. Method signatures and docstrings: - def __init__(self, **kwargs): Initializing (just filling in data). Accepted keys: from_city, from_stop, to_city, to_stop, vehicle, max_tran...

73af644ec35c8a1cd0c37cd478c2afc1db717e0b

<|skeleton|> class Travel: """Holder for starting and ending point (and other parameters) of travel.""" def __init__(self, **kwargs): """Initializing (just filling in data). Accepted keys: from_city, from_stop, to_city, to_stop, vehicle, max_transfers.""" <|body_0|> def get_minimal_info(se...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Travel: """Holder for starting and ending point (and other parameters) of travel.""" def __init__(self, **kwargs): """Initializing (just filling in data). Accepted keys: from_city, from_stop, to_city, to_stop, vehicle, max_transfers.""" self.from_stop_geo = kwargs['from_stop_geo'] ...

the_stack_v2_python_sparse

alex/applications/PublicTransportInfoEN/directions.py

oplatek/alex

train

0

63e37f64f5e61bfa066154b82ae2cb22a3bbf121

[ "self.background = image\nself.int_screen = int_screen\nself.back_rect = self.background.get_rect()\nself.use_stars = use_stars\nself.back_speed = 0.03\nif type in ['flyby', 'repeat']:\n if type == 'repeat':\n self.type = 2\n else:\n self.type = 0\n times = lenght * CFG().spawn_speed\n ...

<|body_start_0|> self.background = image self.int_screen = int_screen self.back_rect = self.background.get_rect() self.use_stars = use_stars self.back_speed = 0.03 if type in ['flyby', 'repeat']: if type == 'repeat': self.type = 2 e...

Manage and draw level background

Background

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Background: """Manage and draw level background""" def __init__(self, int_screen, image, type='flyby', use_stars=1, lenght=0): """Inits level background, background types: flyby - image flies by exactly once on random x position repeat - image continually flies by on random x positio...

stack_v2_sparse_classes_36k_train_032028

4,699

permissive

[ { "docstring": "Inits level background, background types: flyby - image flies by exactly once on random x position repeat - image continually flies by on random x position, with short random pauses in repeat scroll - image scrolls continually from top to bottom, with no spaces in between and no randomness :para...

3

stack_v2_sparse_classes_30k_train_006543

Implement the Python class `Background` described below. Class description: Manage and draw level background Method signatures and docstrings: - def __init__(self, int_screen, image, type='flyby', use_stars=1, lenght=0): Inits level background, background types: flyby - image flies by exactly once on random x positio...

2d02242e136227e533a70a8f1921d2567379c2d2

<|skeleton|> class Background: """Manage and draw level background""" def __init__(self, int_screen, image, type='flyby', use_stars=1, lenght=0): """Inits level background, background types: flyby - image flies by exactly once on random x position repeat - image continually flies by on random x positio...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Background: """Manage and draw level background""" def __init__(self, int_screen, image, type='flyby', use_stars=1, lenght=0): """Inits level background, background types: flyby - image flies by exactly once on random x position repeat - image continually flies by on random x position, with short...

the_stack_v2_python_sparse

src/background.py

velezd/space-war-2027

train

0

6a082da177298f4abf44d99c717d9f4057db0b8a

[ "if model._meta.app_label in apps:\n return db_name\nreturn None", "if model._meta.app_label in apps:\n return db_name\nreturn None", "if obj1._meta.app_label in apps or obj2._meta.app_label in apps:\n return True\nreturn None", "if db == db_name:\n return model._meta.app_label in apps\nelif model...

A router to control all database operations on models from applications in apps

PatientRouter

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PatientRouter: """A router to control all database operations on models from applications in apps""" def db_for_read(self, model, **hints): """Point all operations on apps models to db_name""" <|body_0|> def db_for_write(self, model, **hints): """Point all operat...

stack_v2_sparse_classes_36k_train_032029

1,200

permissive

[ { "docstring": "Point all operations on apps models to db_name", "name": "db_for_read", "signature": "def db_for_read(self, model, **hints)" }, { "docstring": "Point all operations on apps models to db_name", "name": "db_for_write", "signature": "def db_for_write(self, model, **hints)" ...

4

stack_v2_sparse_classes_30k_train_007650

Implement the Python class `PatientRouter` described below. Class description: A router to control all database operations on models from applications in apps Method signatures and docstrings: - def db_for_read(self, model, **hints): Point all operations on apps models to db_name - def db_for_write(self, model, **hin...

3d3eebef1969442474a85c449bdf32660b7b15cc

<|skeleton|> class PatientRouter: """A router to control all database operations on models from applications in apps""" def db_for_read(self, model, **hints): """Point all operations on apps models to db_name""" <|body_0|> def db_for_write(self, model, **hints): """Point all operat...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PatientRouter: """A router to control all database operations on models from applications in apps""" def db_for_read(self, model, **hints): """Point all operations on apps models to db_name""" if model._meta.app_label in apps: return db_name return None def db_for...

the_stack_v2_python_sparse

thousand/dbrouters.py

ewheeler/rapidsms-thousand-days

train

1

d3c3b662d4f2d7e4a8f7205e16d8b51aa46e7aa0

[ "if not _checkPermission(ModifyPortalContent, content):\n raise AccessControl_Unauthorized\nif allowDiscussion is None or allowDiscussion == 'None':\n disc_flag = getattr(aq_base(content), 'allow_discussion', _marker)\n if disc_flag is not _marker:\n try:\n del content.allow_discussion\n ...

<|body_start_0|> if not _checkPermission(ModifyPortalContent, content): raise AccessControl_Unauthorized if allowDiscussion is None or allowDiscussion == 'None': disc_flag = getattr(aq_base(content), 'allow_discussion', _marker) if disc_flag is not _marker: ...

Links content to discussions.

DiscussionTool

[ "ZPL-2.1" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DiscussionTool: """Links content to discussions.""" def overrideDiscussionFor(self, content, allowDiscussion): """Override discussability for the given object or clear the setting.""" <|body_0|> def getDiscussionFor(self, content): """Get DiscussionItemContainer ...

stack_v2_sparse_classes_36k_train_032030

5,092

permissive

[ { "docstring": "Override discussability for the given object or clear the setting.", "name": "overrideDiscussionFor", "signature": "def overrideDiscussionFor(self, content, allowDiscussion)" }, { "docstring": "Get DiscussionItemContainer for content, create it if necessary.", "name": "getDis...

4

null

Implement the Python class `DiscussionTool` described below. Class description: Links content to discussions. Method signatures and docstrings: - def overrideDiscussionFor(self, content, allowDiscussion): Override discussability for the given object or clear the setting. - def getDiscussionFor(self, content): Get Dis...

eabf7529eefe13a53ed088250d179a92218af1ed

<|skeleton|> class DiscussionTool: """Links content to discussions.""" def overrideDiscussionFor(self, content, allowDiscussion): """Override discussability for the given object or clear the setting.""" <|body_0|> def getDiscussionFor(self, content): """Get DiscussionItemContainer ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DiscussionTool: """Links content to discussions.""" def overrideDiscussionFor(self, content, allowDiscussion): """Override discussability for the given object or clear the setting.""" if not _checkPermission(ModifyPortalContent, content): raise AccessControl_Unauthorized ...

the_stack_v2_python_sparse

branches/Products.CMFDefault/Products/CMFDefault/DiscussionTool.py

openlegis-br/sagl

train

17

615d071d466f15ce838e2321a5751860f14b03b8

[ "stack = []\n\ndef reverse(c):\n if c == ']':\n return '['\n if c == '}':\n return '{'\n if c == ')':\n return '('\nfor c in s:\n stack += (c,)\n '{}({[]})'\n if c == ']' or c == '}' or c == ')':\n if len(stack) > 1 and stack[-2] == reverse(c):\n stack = stac...

<|body_start_0|> stack = [] def reverse(c): if c == ']': return '[' if c == '}': return '{' if c == ')': return '(' for c in s: stack += (c,) '{}({[]})' if c == ']' or c == '}...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032031

2,604

no_license

[ { "docstring": ":type s: str :rtype: bool", "name": "isValid", "signature": "def isValid(self, s)" }, { "docstring": ":type s: str :rtype: bool", "name": "rewrite", "signature": "def rewrite(self, s)" }, { "docstring": ":type s: str :rtype: bool", "name": "rewrite2", "sig...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isValid(self, s): :type s: str :rtype: bool - def rewrite(self, s): :type s: str :rtype: bool - def rewrite2(self, s): :type s: str :rtype: bool

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isValid(self, s): :type s: str :rtype: bool - def rewrite(self, s): :type s: str :rtype: bool - def rewrite2(self, s): :type s: str :rtype: bool <|skeleton|> class Solution:...

6350568d16b0f8c49a020f055bb6d72e2705ea56

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isValid(self, s): """:type s: str :rtype: bool""" stack = [] def reverse(c): if c == ']': return '[' if c == '}': return '{' if c == ')': return '(' for c in s: stack ...

the_stack_v2_python_sparse

co_fb/20_Valid_Parentheses.py

vsdrun/lc_public

train

6

d675ffb926b6f8f2fb131440c062b5fa10eee2f4

[ "super().__init__()\nself.up = nn.ConvTranspose2d(in_channels, in_channels, kernel_size=2, stride=2)\nself.conv = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)", "x = self.up(x)\nx = self.conv(x)\nx = F.relu(x)\nreturn x" ]

Transpose convolutional block to upscale input. 2x2 Transpoe convolution followed by a convolutional layer with 3x3 kernel with 1 padding, Max pooling and Relu activations. Channels must be specified by user.

UpConvBlock

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UpConvBlock: """Transpose convolutional block to upscale input. 2x2 Transpoe convolution followed by a convolutional layer with 3x3 kernel with 1 padding, Max pooling and Relu activations. Channels must be specified by user.""" def __init__(self, in_channels, out_channels): """Init. ...

stack_v2_sparse_classes_36k_train_032032

10,936

no_license

[ { "docstring": "Init. Args: in_channels(int): Input channels. out_channels(int): Output channels.", "name": "__init__", "signature": "def __init__(self, in_channels, out_channels)" }, { "docstring": "Forward pass. Args: x(torch.Tensor): Input data. Returns: torch.Tensor: Activations.", "name...

2

stack_v2_sparse_classes_30k_train_001470

Implement the Python class `UpConvBlock` described below. Class description: Transpose convolutional block to upscale input. 2x2 Transpoe convolution followed by a convolutional layer with 3x3 kernel with 1 padding, Max pooling and Relu activations. Channels must be specified by user. Method signatures and docstrings...

9027b529eaa4cf0a38f25512141810f92db99639

<|skeleton|> class UpConvBlock: """Transpose convolutional block to upscale input. 2x2 Transpoe convolution followed by a convolutional layer with 3x3 kernel with 1 padding, Max pooling and Relu activations. Channels must be specified by user.""" def __init__(self, in_channels, out_channels): """Init. ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UpConvBlock: """Transpose convolutional block to upscale input. 2x2 Transpoe convolution followed by a convolutional layer with 3x3 kernel with 1 padding, Max pooling and Relu activations. Channels must be specified by user.""" def __init__(self, in_channels, out_channels): """Init. Args: in_chan...

the_stack_v2_python_sparse

grae/models/torch_modules.py

jakerhodes/GRAE

train

0

2ed8e2ee99e70d4fb88d5df1c1c6b74a3e7671d3

[ "if n == 1:\n return 9\nif n == 2:\n return 987\nif n == 3:\n return 123\nif n == 4:\n return 597\nif n == 5:\n return 677\nif n == 6:\n return 1218\nif n == 7:\n return 877\nif n == 8:\n return 475", "if n == 1:\n return 9\nif n == 2:\n return 987\nfor a in range(2, 9 * 10 ** (n - 1...

<|body_start_0|> if n == 1: return 9 if n == 2: return 987 if n == 3: return 123 if n == 4: return 597 if n == 5: return 677 if n == 6: return 1218 if n == 7: return 877 if...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032033

1,851

no_license

[ { "docstring": ":type n: int :rtype: int", "name": "largestPalindrome_cheat", "signature": "def largestPalindrome_cheat(self, n)" }, { "docstring": ":type n: int :rtype: int", "name": "largestPalindrome", "signature": "def largestPalindrome(self, n)" } ]

2

stack_v2_sparse_classes_30k_train_014433

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def largestPalindrome_cheat(self, n): :type n: int :rtype: int - def largestPalindrome(self, n): :type n: int :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def largestPalindrome_cheat(self, n): :type n: int :rtype: int - def largestPalindrome(self, n): :type n: int :rtype: int <|skeleton|> class Solution: def largestPalindrome...

3f0ffd519404165fd1a735441b212c801fd1ad1e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def largestPalindrome_cheat(self, n): """:type n: int :rtype: int""" if n == 1: return 9 if n == 2: return 987 if n == 3: return 123 if n == 4: return 597 if n == 5: return 677 if n ==...

the_stack_v2_python_sparse

Problems/0400_0499/0479_Largest_Palindrome_Product/Project_Python3/Largest_Palindrome_Product.py

NobuyukiInoue/LeetCode

train

0

a02ff9451ce3ea4a1b9ab2c64a1cf321b18e64bc

[ "if not cost:\n return 0\nif len(cost) <= 2:\n return min(cost)\nprv = cost[0]\ncur = cost[1]\nfor i, c in enumerate(cost[2:], 2):\n prv, cur = (cur, min(cur, prv) + c)\nreturn min(prv, cur)", "n = len(cost)\nif n == 0:\n return 0\ndp = [0, 0]\nfor i in range(2, n + 1):\n dp[i % 2] = min(dp[(i - 1)...

<|body_start_0|> if not cost: return 0 if len(cost) <= 2: return min(cost) prv = cost[0] cur = cost[1] for i, c in enumerate(cost[2:], 2): prv, cur = (cur, min(cur, prv) + c) return min(prv, cur) <|end_body_0|> <|body_start_1|> ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def minCostClimbingStairs(self, cost: List[int]) -> int: """06/20/2021 07:05 Time complexity: O(n) Space complexity: O(1)""" <|body_0|> def minCostClimbingStairs(self, cost: List[int]) -> int: """07/29/2022 23:43 Time complexity: O(n) Space complexity: O(1)...

stack_v2_sparse_classes_36k_train_032034

2,222

no_license

[ { "docstring": "06/20/2021 07:05 Time complexity: O(n) Space complexity: O(1)", "name": "minCostClimbingStairs", "signature": "def minCostClimbingStairs(self, cost: List[int]) -> int" }, { "docstring": "07/29/2022 23:43 Time complexity: O(n) Space complexity: O(1)", "name": "minCostClimbingS...

2

stack_v2_sparse_classes_30k_train_004778

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def minCostClimbingStairs(self, cost: List[int]) -> int: 06/20/2021 07:05 Time complexity: O(n) Space complexity: O(1) - def minCostClimbingStairs(self, cost: List[int]) -> int: ...

1389a009a02e90e8700a7a00e0b7f797c129cdf4

<|skeleton|> class Solution: def minCostClimbingStairs(self, cost: List[int]) -> int: """06/20/2021 07:05 Time complexity: O(n) Space complexity: O(1)""" <|body_0|> def minCostClimbingStairs(self, cost: List[int]) -> int: """07/29/2022 23:43 Time complexity: O(n) Space complexity: O(1)...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def minCostClimbingStairs(self, cost: List[int]) -> int: """06/20/2021 07:05 Time complexity: O(n) Space complexity: O(1)""" if not cost: return 0 if len(cost) <= 2: return min(cost) prv = cost[0] cur = cost[1] for i, c in enume...

the_stack_v2_python_sparse

leetcode/solved/747_Min_Cost_Climbing_Stairs/solution.py

sungminoh/algorithms

train

0

2b90bc40a617ae92170ce726232dc9f65cf40aff

[ "self.implementation = {DSXClustering.NUMBA_VORONOI: self.__numba}[mode]\nself.max_iterations = max_iterations\nself.tolerance = tolerance", "assert isinstance(dsx, DSX)\nweights = dsx.validate_and_convert_weights(weights)\nif k is not None and initial_medoids is not None:\n assert len(initial_medoids) == k, '...

<|body_start_0|> self.implementation = {DSXClustering.NUMBA_VORONOI: self.__numba}[mode] self.max_iterations = max_iterations self.tolerance = tolerance <|end_body_0|> <|body_start_1|> assert isinstance(dsx, DSX) weights = dsx.validate_and_convert_weights(weights) if k i...

DSXClustering

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DSXClustering: def __init__(self, mode, max_iterations=1e+99, tolerance=0.001): """Clustering method used in the algorithm. The selected mode is the actual implementation. Parameters ---------- mode: str Implementation of clustering algorithm to use. Must be in DSXClustering.ALL_MODES ma...

stack_v2_sparse_classes_36k_train_032035

11,498

no_license

[ { "docstring": "Clustering method used in the algorithm. The selected mode is the actual implementation. Parameters ---------- mode: str Implementation of clustering algorithm to use. Must be in DSXClustering.ALL_MODES max_iterations: Numeric Maximum number of iterations of the clustering algorithm tolerance: f...

4

stack_v2_sparse_classes_30k_train_020420

Implement the Python class `DSXClustering` described below. Class description: Implement the DSXClustering class. Method signatures and docstrings: - def __init__(self, mode, max_iterations=1e+99, tolerance=0.001): Clustering method used in the algorithm. The selected mode is the actual implementation. Parameters ---...

d683b2a7bc260f0edb23e686ecf934f7c4c22717

<|skeleton|> class DSXClustering: def __init__(self, mode, max_iterations=1e+99, tolerance=0.001): """Clustering method used in the algorithm. The selected mode is the actual implementation. Parameters ---------- mode: str Implementation of clustering algorithm to use. Must be in DSXClustering.ALL_MODES ma...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DSXClustering: def __init__(self, mode, max_iterations=1e+99, tolerance=0.001): """Clustering method used in the algorithm. The selected mode is the actual implementation. Parameters ---------- mode: str Implementation of clustering algorithm to use. Must be in DSXClustering.ALL_MODES max_iterations: ...

the_stack_v2_python_sparse

cjo/weighted_adapted_jaccard/bootstrap/bootstraphelpers.py

YorickSpenrath/PKDD2020

train

0

f18d06d8b9e9880a1789c2a424bcf440d6728b61

[ "self.affix_canonical_form = affix_canonical_form\nself.pos_types = pos_types\nself.rules = rules", "if pos not in self.pos_types:\n return None\nfor rule in self.rules:\n base = rule.get_base_form(lower)\n if base is not None:\n return base\nreturn None" ]

SuffixGroup

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SuffixGroup: def __init__(self, affix_canonical_form: str, pos_types: str, rules: Sequence[SuffixRule]): """:param affix_canonical_form: :param pos_types: a string of pos types separated by '|' :param rules:""" <|body_0|> def get_base_form(self, lower: str, pos: str): ...

stack_v2_sparse_classes_36k_train_032036

1,754

permissive

[ { "docstring": ":param affix_canonical_form: :param pos_types: a string of pos types separated by '|' :param rules:", "name": "__init__", "signature": "def __init__(self, affix_canonical_form: str, pos_types: str, rules: Sequence[SuffixRule])" }, { "docstring": "If pos_types contains the input p...

2

stack_v2_sparse_classes_30k_train_014490

Implement the Python class `SuffixGroup` described below. Class description: Implement the SuffixGroup class. Method signatures and docstrings: - def __init__(self, affix_canonical_form: str, pos_types: str, rules: Sequence[SuffixRule]): :param affix_canonical_form: :param pos_types: a string of pos types separated b...

78c00ec098d7626fd29ca49a9aef28950fabfed9

<|skeleton|> class SuffixGroup: def __init__(self, affix_canonical_form: str, pos_types: str, rules: Sequence[SuffixRule]): """:param affix_canonical_form: :param pos_types: a string of pos types separated by '|' :param rules:""" <|body_0|> def get_base_form(self, lower: str, pos: str): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SuffixGroup: def __init__(self, affix_canonical_form: str, pos_types: str, rules: Sequence[SuffixRule]): """:param affix_canonical_form: :param pos_types: a string of pos types separated by '|' :param rules:""" self.affix_canonical_form = affix_canonical_form self.pos_types = pos_types...

the_stack_v2_python_sparse

elit/component/lemmatization/english/suffix_group.py

elitcloud/elit

train

38

aecd73cc0cd643404af05902ec53ede08bb20e0a

[ "from scapy.config import conf\nfrom scapy.utils import get_temp_file, ContextManagerSubprocess\ncanvas = self.canvas_dump(**kargs)\nif filename is None:\n fname = get_temp_file(autoext=kargs.get('suffix', '.eps'))\n canvas.writeEPSfile(fname)\n if WINDOWS and conf.prog.psreader is None:\n os.startf...

<|body_start_0|> from scapy.config import conf from scapy.utils import get_temp_file, ContextManagerSubprocess canvas = self.canvas_dump(**kargs) if filename is None: fname = get_temp_file(autoext=kargs.get('suffix', '.eps')) canvas.writeEPSfile(fname) ...

_CanvasDumpExtended

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _CanvasDumpExtended: def psdump(self, filename=None, **kargs): """psdump(filename=None, layer_shift=0, rebuild=1) Creates an EPS file describing a packet. If filename is not provided a temporary file is created and gs is called. :param filename: the file's filename""" <|body_0|> ...

stack_v2_sparse_classes_36k_train_032037

12,215

permissive

[ { "docstring": "psdump(filename=None, layer_shift=0, rebuild=1) Creates an EPS file describing a packet. If filename is not provided a temporary file is created and gs is called. :param filename: the file's filename", "name": "psdump", "signature": "def psdump(self, filename=None, **kargs)" }, { ...

3

null

Implement the Python class `_CanvasDumpExtended` described below. Class description: Implement the _CanvasDumpExtended class. Method signatures and docstrings: - def psdump(self, filename=None, **kargs): psdump(filename=None, layer_shift=0, rebuild=1) Creates an EPS file describing a packet. If filename is not provid...

e6cccba69335816442c515d65d9aedea9e7dc58b

<|skeleton|> class _CanvasDumpExtended: def psdump(self, filename=None, **kargs): """psdump(filename=None, layer_shift=0, rebuild=1) Creates an EPS file describing a packet. If filename is not provided a temporary file is created and gs is called. :param filename: the file's filename""" <|body_0|> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _CanvasDumpExtended: def psdump(self, filename=None, **kargs): """psdump(filename=None, layer_shift=0, rebuild=1) Creates an EPS file describing a packet. If filename is not provided a temporary file is created and gs is called. :param filename: the file's filename""" from scapy.config import ...

the_stack_v2_python_sparse

Botnets/App/App Web/PDG-env/lib/python3.6/site-packages/scapy/base_classes.py

i2tResearch/Ciberseguridad_web

train

14

9b14e47a390889c730650dd6d0add5f2803d3c8d

[ "super(TokenAuthenticator, self).__init__(rpc, response_handler, **kwargs)\nself.basic_token_handler = BasicTokenHandler(self._rpc)\nself.oidc_token_handler = OidcTokenHandler(self._rpc)", "def token_decorator(*args: Any, **kwargs: Any) -> Union[Callable, Response]:\n \"\"\"Validate a token and execute the pro...

Authenticate a user by validating a token. Attributes: rpc: Connection to RPC functions - used to connect to the user service. response_handler: The ResponseParser to parse an exception if the authentication fails. **kwargs: Auxiliary arguments to be used by child classes - not needed here.

TokenAuthenticator

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TokenAuthenticator: """Authenticate a user by validating a token. Attributes: rpc: Connection to RPC functions - used to connect to the user service. response_handler: The ResponseParser to parse an exception if the authentication fails. **kwargs: Auxiliary arguments to be used by child classes -...

stack_v2_sparse_classes_36k_train_032038

13,445

permissive

[ { "docstring": "Initialize TokenAuthenticator.", "name": "__init__", "signature": "def __init__(self, rpc: FlaskPooledClusterRpcProxy, response_handler: ResponseParser, **kwargs: Any) -> None" }, { "docstring": "Decorator to authenticate a user by validating its token. Args: func: The wrapped fu...

4

null

Implement the Python class `TokenAuthenticator` described below. Class description: Authenticate a user by validating a token. Attributes: rpc: Connection to RPC functions - used to connect to the user service. response_handler: The ResponseParser to parse an exception if the authentication fails. **kwargs: Auxiliary ...

822dbd3ccee25180cc48efd2f891504b6b5edc14

<|skeleton|> class TokenAuthenticator: """Authenticate a user by validating a token. Attributes: rpc: Connection to RPC functions - used to connect to the user service. response_handler: The ResponseParser to parse an exception if the authentication fails. **kwargs: Auxiliary arguments to be used by child classes -...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TokenAuthenticator: """Authenticate a user by validating a token. Attributes: rpc: Connection to RPC functions - used to connect to the user service. response_handler: The ResponseParser to parse an exception if the authentication fails. **kwargs: Auxiliary arguments to be used by child classes - not needed h...

the_stack_v2_python_sparse

gateway/gateway/dependencies/auth.py

Open-EO/openeo-eodc-driver

train

3

3bd441f462a7eb76665697e83b18b49416109305

[ "if isinstance(node.op, ast.And):\n return self.visit_mutation_site(node, len(node.values))\nreturn node", "node.op = ast.Or()\nif idx and len(node.values) > 2:\n left = node.values[:idx]\n if len(left) > 1:\n left = [ast.BoolOp(op=ast.And(), values=left)]\n right = node.values[idx:]\n if le...

An operator that swaps 'and' with 'or'.

ReplaceAndWithOr

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032039

4,264

permissive

[ { "docstring": "http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp", "name": "visit_BoolOp", "signature": "def visit_BoolOp(self, node)" }, { "docstring": "Replace AND with OR.", "name": "mutate", "signature": "def mutate(self, node, idx)" } ]

2

stack_v2_sparse_classes_30k_train_020192

Implement the Python class `ReplaceAndWithOr` described below. Class description: An operator that swaps 'and' with 'or'. Method signatures and docstrings: - def visit_BoolOp(self, node): http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp - def mutate(self, node, idx): Replace AND with OR.

Implement the Python class `ReplaceAndWithOr` described below. Class description: An operator that swaps 'and' with 'or'. Method signatures and docstrings: - def visit_BoolOp(self, node): http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp - def mutate(self, node, idx): Replace AND with OR. <|skeleton|...

0d5ba9c773299385195f6c32e5bf4de55d3494a6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ReplaceAndWithOr: """An operator that swaps 'and' with 'or'.""" def visit_BoolOp(self, node): """http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp""" if isinstance(node.op, ast.And): return self.visit_mutation_site(node, len(node.values)) return node ...

the_stack_v2_python_sparse

cosmic_ray/operators/boolean_replacer.py

sobolevn/cosmic-ray

train

0

2ad9d67ca21f0197286f0dbc264529615b671d36

[ "self.inputs = inputs\nself.layer_dims = layer_dims\nself.test_phase = test_phase\nif output_dim is not None:\n self.output_dim = output_dim\nelse:\n self.output_dim = inputs.get_shape()[-1]\nself._build_model()", "start_trainable_variables = tf.trainable_variables()\nnet = self.inputs\nfor layer_dim in lay...

An instance of this class contains everything with the model being applied to an input tensor. It features more than just the weights of the model. Multiple applications are handled through scope sharing.

ModelMLP

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ModelMLP: """An instance of this class contains everything with the model being applied to an input tensor. It features more than just the weights of the model. Multiple applications are handled through scope sharing.""" def __init__(self, inputs, layer_dims, test_phase=False, output_dim=Non...

stack_v2_sparse_classes_36k_train_032040

4,780

no_license

[ { "docstring": "We really expect this constructor call to be made within a proper scope so that variable reuse is properly used.", "name": "__init__", "signature": "def __init__(self, inputs, layer_dims, test_phase=False, output_dim=None)" }, { "docstring": "It does not want arguments because it...

2

stack_v2_sparse_classes_30k_train_011459

Implement the Python class `ModelMLP` described below. Class description: An instance of this class contains everything with the model being applied to an input tensor. It features more than just the weights of the model. Multiple applications are handled through scope sharing. Method signatures and docstrings: - def...

e2bd4eeff078c8ad91df11119fe8372b28c8fd0e

<|skeleton|> class ModelMLP: """An instance of this class contains everything with the model being applied to an input tensor. It features more than just the weights of the model. Multiple applications are handled through scope sharing.""" def __init__(self, inputs, layer_dims, test_phase=False, output_dim=Non...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ModelMLP: """An instance of this class contains everything with the model being applied to an input tensor. It features more than just the weights of the model. Multiple applications are handled through scope sharing.""" def __init__(self, inputs, layer_dims, test_phase=False, output_dim=None): "...

the_stack_v2_python_sparse

2019_spiral/src/denoising_autoencoder/models.py

gyom/denoising_autoencoder

train

0

6c1d0c55aed16d1c75e26981b32fa74cabba5ffd

[ "try:\n return cls._function[state, action]\nexcept KeyError as e:\n print(\"Exception: {}. Invalid state: '{}' and action: '{}' pair\".format(e, state, action))\n raise", "cls.dimensions = 0\nfor state in AgentActionType:\n for action in UserActionType:\n cls.dimensions += 1\ni = 0\nfor state ...

<|body_start_0|> try: return cls._function[state, action] except KeyError as e: print("Exception: {}. Invalid state: '{}' and action: '{}' pair".format(e, state, action)) raise <|end_body_0|> <|body_start_1|> cls.dimensions = 0 for state in AgentActio...

UserFeatures

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UserFeatures: def get_vector(cls, state, action): """Returns the feature vector for a state-action pair. Args: state (AgentActionType): User state. action (UserActionType): User action. Returns: numpy.array: Feature vector for the given state-action pair.""" <|body_0|> def _...

stack_v2_sparse_classes_36k_train_032041

1,539

no_license

[ { "docstring": "Returns the feature vector for a state-action pair. Args: state (AgentActionType): User state. action (UserActionType): User action. Returns: numpy.array: Feature vector for the given state-action pair.", "name": "get_vector", "signature": "def get_vector(cls, state, action)" }, { ...

2

stack_v2_sparse_classes_30k_train_005546

Implement the Python class `UserFeatures` described below. Class description: Implement the UserFeatures class. Method signatures and docstrings: - def get_vector(cls, state, action): Returns the feature vector for a state-action pair. Args: state (AgentActionType): User state. action (UserActionType): User action. R...

435bc0d23df4b2d4494697f3e3e21a998f510742

<|skeleton|> class UserFeatures: def get_vector(cls, state, action): """Returns the feature vector for a state-action pair. Args: state (AgentActionType): User state. action (UserActionType): User action. Returns: numpy.array: Feature vector for the given state-action pair.""" <|body_0|> def _...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserFeatures: def get_vector(cls, state, action): """Returns the feature vector for a state-action pair. Args: state (AgentActionType): User state. action (UserActionType): User action. Returns: numpy.array: Feature vector for the given state-action pair.""" try: return cls._functi...

the_stack_v2_python_sparse

user/user_features.py

txye/inverse-reinforcement-learning

train

0

d0189637af948eb9b79f3259caf5bcc55a3bde60

[ "super().__init__(Pan.image, x=games.mouse.x, bottom=games.screen.height)\nself.score = games.Text(value=0, size=25, color=color.black, top=5, right=games.screen.width - 10)\ngames.screen.add(self.score)", "self.x = games.mouse.x\nif self.left < 0:\n self.left = 0\nif self.right > games.screen.width:\n self...

Pan, in whom player will catch fall pizza

Pan

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032042

6,619

no_license

[ { "docstring": "init object Pan and create object Text for visual count", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Move object on horizontal in", "name": "update", "signature": "def update(self)" }, { "docstring": "Check, player catch fall pizza or...

3

null

Implement the Python class `Pan` described below. Class description: Pan, in whom player will catch fall pizza Method signatures and docstrings: - def __init__(self): init object Pan and create object Text for visual count - def update(self): Move object on horizontal in - def check_catch(self): Check, player catch f...

501aed406bc88e0baebd402e18851f1f2f8ac9da

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Pan: """Pan, in whom player will catch fall pizza""" def __init__(self): """init object Pan and create object Text for visual count""" super().__init__(Pan.image, x=games.mouse.x, bottom=games.screen.height) self.score = games.Text(value=0, size=25, color=color.black, top=5, right...

the_stack_v2_python_sparse

_Chapter_11_PYGAME_LIVEWIRES/panic_in_pizzeria.py

MrVeshij/Michael-Dawson

train

1

25d7df6cb548000c5fa4b7ac196ff1fb36d9f6ec

[ "n = len(words)\nmask = [0] * n\nres = 0\nfor i in range(n):\n for c in words[i]:\n mask[i] |= 1 << ord(c) - ord('a')\nfor i in range(n):\n for j in range(i + 1, n):\n if mask[i] and mask[j] and (mask[i] & mask[j] == 0):\n res = max(res, len(words[i]) * len(words[j]))\nreturn res", ...

<|body_start_0|> n = len(words) mask = [0] * n res = 0 for i in range(n): for c in words[i]: mask[i] |= 1 << ord(c) - ord('a') for i in range(n): for j in range(i + 1, n): if mask[i] and mask[j] and (mask[i] & mask[j] == 0):...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def maxProduct(self, words): """用一个26bit的数来存储每一个单词，如果两个数做与运算=0,就表示没有相同的字母，在找出相遇为零的这个字母就可以了时间复杂度O(n^2) 不需要转成word,数字与运算比set快 :param words: :return:""" <|body_0|> def maxProduct2(self, words): """时间复杂度>O(n^2) :type words: List[str] :rtype: int""" <|bo...

stack_v2_sparse_classes_36k_train_032043

1,992

no_license

[ { "docstring": "用一个26bit的数来存储每一个单词，如果两个数做与运算=0,就表示没有相同的字母，在找出相遇为零的这个字母就可以了时间复杂度O(n^2) 不需要转成word,数字与运算比set快 :param words: :return:", "name": "maxProduct", "signature": "def maxProduct(self, words)" }, { "docstring": "时间复杂度>O(n^2) :type words: List[str] :rtype: int", "name": "maxProduct2", ...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxProduct(self, words): 用一个26bit的数来存储每一个单词，如果两个数做与运算=0,就表示没有相同的字母，在找出相遇为零的这个字母就可以了时间复杂度O(n^2) 不需要转成word,数字与运算比set快 :param words: :return: - def maxProduct2(self, words): 时间...

5d3574ccd282d0146c83c286ae28d8baaabd4910

<|skeleton|> class Solution: def maxProduct(self, words): """用一个26bit的数来存储每一个单词，如果两个数做与运算=0,就表示没有相同的字母，在找出相遇为零的这个字母就可以了时间复杂度O(n^2) 不需要转成word,数字与运算比set快 :param words: :return:""" <|body_0|> def maxProduct2(self, words): """时间复杂度>O(n^2) :type words: List[str] :rtype: int""" <|bo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxProduct(self, words): """用一个26bit的数来存储每一个单词，如果两个数做与运算=0,就表示没有相同的字母，在找出相遇为零的这个字母就可以了时间复杂度O(n^2) 不需要转成word,数字与运算比set快 :param words: :return:""" n = len(words) mask = [0] * n res = 0 for i in range(n): for c in words[i]: mask[i...

the_stack_v2_python_sparse

318_最大单词长度乘积.py

lovehhf/LeetCode

train

0

cc878044d30b3563836322d6f429d72294c9dd17

[ "settings = current.deployment_settings\nscope = 'https://www.googleapis.com/auth/userinfo.email https://www.googleapis.com/auth/userinfo.profile'\nuser_agent = 'google-api-client-python-plus-cmdline/1.0'\nredirect_uri = '%s/%s/default/google/login' % (settings.get_base_public_url(), current.request.application)\nO...

<|body_start_0|> settings = current.deployment_settings scope = 'https://www.googleapis.com/auth/userinfo.email https://www.googleapis.com/auth/userinfo.profile' user_agent = 'google-api-client-python-plus-cmdline/1.0' redirect_uri = '%s/%s/default/google/login' % (settings.get_base_publ...

OAuth implementation for Google https://code.google.com/apis/console/

GooglePlusAccount

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GooglePlusAccount: """OAuth implementation for Google https://code.google.com/apis/console/""" def __init__(self, channel): """Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}""" <|body_0|> def __build_url_opener(self, uri)...

stack_v2_sparse_classes_36k_train_032044

31,965

permissive

[ { "docstring": "Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}", "name": "__init__", "signature": "def __init__(self, channel)" }, { "docstring": "Build the url opener for managing HTTP Basic Authentication", "name": "__build_url_opener", ...

6

stack_v2_sparse_classes_30k_train_000793

Implement the Python class `GooglePlusAccount` described below. Class description: OAuth implementation for Google https://code.google.com/apis/console/ Method signatures and docstrings: - def __init__(self, channel): Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret} - d...

7ec4b959d009daf26d5ca6ce91dd9c3c0bd978d6

<|skeleton|> class GooglePlusAccount: """OAuth implementation for Google https://code.google.com/apis/console/""" def __init__(self, channel): """Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}""" <|body_0|> def __build_url_opener(self, uri)...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GooglePlusAccount: """OAuth implementation for Google https://code.google.com/apis/console/""" def __init__(self, channel): """Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}""" settings = current.deployment_settings scope = 'https:...

the_stack_v2_python_sparse

modules/core/aaa/oauth.py

nursix/drkcm

train

3

ebab8580bcb84d5bfc48a59f73003a137528eff2

[ "if not tree:\n return None\nnew_tree = TreeNode(0)\nnew_tree.left = self.deep_clone(tree.left)\nnew_tree.right = self.deep_clone(tree.right)\nreturn new_tree", "if not N & 1:\n return []\nelif N == 1:\n return [TreeNode(0)]\nrtn = []\nfor i in range(2, N + 1, 2):\n left_branch = self.allPossibleFBT(i...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def deep_clone(self, tree: TreeNode) -> TreeNode: """Similar to deep copy""" <|body_0|> def allPossibleFBT(self, N: int) -> List[TreeNode]: """if N = 7, think of the nodes as 1, 2, 3, 4, 5, 6, 7 Even values cannot be lead nodes and all Odd values are leaf n...

stack_v2_sparse_classes_36k_train_032045

1,735

permissive

[ { "docstring": "Similar to deep copy", "name": "deep_clone", "signature": "def deep_clone(self, tree: TreeNode) -> TreeNode" }, { "docstring": "if N = 7, think of the nodes as 1, 2, 3, 4, 5, 6, 7 Even values cannot be lead nodes and all Odd values are leaf nodes", "name": "allPossibleFBT", ...

2

stack_v2_sparse_classes_30k_train_021476

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def deep_clone(self, tree: TreeNode) -> TreeNode: Similar to deep copy - def allPossibleFBT(self, N: int) -> List[TreeNode]: if N = 7, think of the nodes as 1, 2, 3, 4, 5, 6, 7 E...

c07b555127ee89d6f461cea7cd87811c382086ff

<|skeleton|> class Solution: def deep_clone(self, tree: TreeNode) -> TreeNode: """Similar to deep copy""" <|body_0|> def allPossibleFBT(self, N: int) -> List[TreeNode]: """if N = 7, think of the nodes as 1, 2, 3, 4, 5, 6, 7 Even values cannot be lead nodes and all Odd values are leaf n...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def deep_clone(self, tree: TreeNode) -> TreeNode: """Similar to deep copy""" if not tree: return None new_tree = TreeNode(0) new_tree.left = self.deep_clone(tree.left) new_tree.right = self.deep_clone(tree.right) return new_tree def al...

the_stack_v2_python_sparse

Leetcode/week_4/p0894_all_possible_full_binary_trees.py

scohen40/wallbreakers_projects

train

0

e8d327d73f1a5517c46426ae077a1290c082f06b

[ "dist = self.map_x_to_distribution(y_pred)\nsamples = dist.sample((n_samples,)).permute(2, 1, 0)\nreturn samples", "distribution = self.map_x_to_distribution(y_pred)\nloss = -distribution.log_prob(y_actual.transpose(0, 1)).sum() * y_actual.size(0)\nreturn loss" ]

Base class for multivariate distribution losses. Class should be inherited for all multivariate distribution losses, i.e. if a batch of values is predicted in one go and the batch dimension is not independent, but the time dimension still remains independent.

MultivariateDistributionLoss

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MultivariateDistributionLoss: """Base class for multivariate distribution losses. Class should be inherited for all multivariate distribution losses, i.e. if a batch of values is predicted in one go and the batch dimension is not independent, but the time dimension still remains independent.""" ...

stack_v2_sparse_classes_36k_train_032046

36,785

permissive

[ { "docstring": "Sample from distribution. Args: y_pred: prediction output of network (shape batch_size x n_timesteps x n_paramters) n_samples (int): number of samples to draw Returns: torch.Tensor: tensor with samples (shape batch_size x n_timesteps x n_samples)", "name": "sample", "signature": "def sam...

2

stack_v2_sparse_classes_30k_train_019460

Implement the Python class `MultivariateDistributionLoss` described below. Class description: Base class for multivariate distribution losses. Class should be inherited for all multivariate distribution losses, i.e. if a batch of values is predicted in one go and the batch dimension is not independent, but the time di...

7c775c1a2fe3effe62eac0a476db98ca5b24ca4c

<|skeleton|> class MultivariateDistributionLoss: """Base class for multivariate distribution losses. Class should be inherited for all multivariate distribution losses, i.e. if a batch of values is predicted in one go and the batch dimension is not independent, but the time dimension still remains independent.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MultivariateDistributionLoss: """Base class for multivariate distribution losses. Class should be inherited for all multivariate distribution losses, i.e. if a batch of values is predicted in one go and the batch dimension is not independent, but the time dimension still remains independent.""" def sampl...

the_stack_v2_python_sparse

pytorch_forecasting/metrics/base_metrics.py

jdb78/pytorch-forecasting

train

3,233

8afbcf0cd7c8848a88f3a9e7f9f17a090479c30d

[ "try:\n return Link.objects.get(pk=pk)\nexcept Category.DoesNotExist:\n raise Http404", "links = self.get_object(pk)\nserializer = LinksSerializer(links)\nreturn Response(serializer.data)", "links = self.get_object(pk)\nserializer = LinksSerializer(links, data=request.data)\nif serializer.is_valid():\n ...

Retrieve, update or delete a category instance.

LinksDetails

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LinksDetails: """Retrieve, update or delete a category instance.""" def get_object(self, pk): """Get the perticular row from the table.""" <|body_0|> def get(self, request, pk, format=None): """We are going to add the Category content along with this pull request...

stack_v2_sparse_classes_36k_train_032047

4,310

permissive

[ { "docstring": "Get the perticular row from the table.", "name": "get_object", "signature": "def get_object(self, pk)" }, { "docstring": "We are going to add the Category content along with this pull request", "name": "get", "signature": "def get(self, request, pk, format=None)" }, {...

4

stack_v2_sparse_classes_30k_train_011289

Implement the Python class `LinksDetails` described below. Class description: Retrieve, update or delete a category instance. Method signatures and docstrings: - def get_object(self, pk): Get the perticular row from the table. - def get(self, request, pk, format=None): We are going to add the Category content along w...

b0635e72338e14dad24f1ee0329212cd60a3e83a

<|skeleton|> class LinksDetails: """Retrieve, update or delete a category instance.""" def get_object(self, pk): """Get the perticular row from the table.""" <|body_0|> def get(self, request, pk, format=None): """We are going to add the Category content along with this pull request...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LinksDetails: """Retrieve, update or delete a category instance.""" def get_object(self, pk): """Get the perticular row from the table.""" try: return Link.objects.get(pk=pk) except Category.DoesNotExist: raise Http404 def get(self, request, pk, format...

the_stack_v2_python_sparse

links/views.py

faisaltheparttimecoder/carelogBackend

train

1

a3caa7498eda007356814f580720f7a3ae027914

[ "choices_plist, error = subprocess.Popen(['/usr/sbin/installer', '-showChoicesXML', '-pkg', choices_pkg_path], stdout=subprocess.PIPE).communicate()\nif choices_plist:\n try:\n choices_list = plistlib.loads(choices_plist)\n except Exception as err:\n raise ProcessorError(f\"Unexpected error pars...

<|body_start_0|> choices_plist, error = subprocess.Popen(['/usr/sbin/installer', '-showChoicesXML', '-pkg', choices_pkg_path], stdout=subprocess.PIPE).communicate() if choices_plist: try: choices_list = plistlib.loads(choices_plist) except Exception as err: ...

Generates a choices.xml file for use with an installer. A postinstall script is required to run the installer with the choices.xml

ChoicesXMLGenerator

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ChoicesXMLGenerator: """Generates a choices.xml file for use with an installer. A postinstall script is required to run the installer with the choices.xml""" def output_showchoicesxml(self, choices_pkg_path): """Invoke the installer showChoicesXML command and return the contents""" ...

stack_v2_sparse_classes_36k_train_032048

4,729

permissive

[ { "docstring": "Invoke the installer showChoicesXML command and return the contents", "name": "output_showchoicesxml", "signature": "def output_showchoicesxml(self, choices_pkg_path)" }, { "docstring": "Generates the python dictionary of choices. Desired choices are given the choice attribute '1...

4

stack_v2_sparse_classes_30k_train_010509

Implement the Python class `ChoicesXMLGenerator` described below. Class description: Generates a choices.xml file for use with an installer. A postinstall script is required to run the installer with the choices.xml Method signatures and docstrings: - def output_showchoicesxml(self, choices_pkg_path): Invoke the inst...

7c0a2eaf223822480ccd80a7ea3d163cc9b5b507

<|skeleton|> class ChoicesXMLGenerator: """Generates a choices.xml file for use with an installer. A postinstall script is required to run the installer with the choices.xml""" def output_showchoicesxml(self, choices_pkg_path): """Invoke the installer showChoicesXML command and return the contents""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ChoicesXMLGenerator: """Generates a choices.xml file for use with an installer. A postinstall script is required to run the installer with the choices.xml""" def output_showchoicesxml(self, choices_pkg_path): """Invoke the installer showChoicesXML command and return the contents""" choice...

the_stack_v2_python_sparse

CommonProcessors/ChoicesXMLGenerator.py

autopkg/grahampugh-recipes

train

66

14e30cf3c5200b81437847b1ea28adc6036209ca

[ "super().__init__(dim_param=dim_param, seed=seed)\nself.I = I\nself.dt = dt\nself.t = np.arange(0, len(self.I), 1) * self.dt\nself.RibonModel = Model\nself.pre_step = pre_step\nself.ID = ID", "\"\"\"with open(str(self.ID) + '.log', 'a') as f:\n tmp_params = \" \".join([str(params[i]) for i in range(len...

Ribon

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Ribon: def __init__(self, I, dt, dim_param, pre_step, Model, ID, seed=None): """Ribon simulator Parameters ---------- I : array Numpy array with the input current dt : float Timestep dim_param : int Number of parameter pre_step : int Number of time points before the stimuli seed : int or...

stack_v2_sparse_classes_36k_train_032049

6,046

permissive

[ { "docstring": "Ribon simulator Parameters ---------- I : array Numpy array with the input current dt : float Timestep dim_param : int Number of parameter pre_step : int Number of time points before the stimuli seed : int or None If set, randomness across runs is disabled", "name": "__init__", "signatur...

2

null

Implement the Python class `Ribon` described below. Class description: Implement the Ribon class. Method signatures and docstrings: - def __init__(self, I, dt, dim_param, pre_step, Model, ID, seed=None): Ribon simulator Parameters ---------- I : array Numpy array with the input current dt : float Timestep dim_param :...

d06b9f2e6ce6235c4b318b9807a75263beb3e518

<|skeleton|> class Ribon: def __init__(self, I, dt, dim_param, pre_step, Model, ID, seed=None): """Ribon simulator Parameters ---------- I : array Numpy array with the input current dt : float Timestep dim_param : int Number of parameter pre_step : int Number of time points before the stimuli seed : int or...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Ribon: def __init__(self, I, dt, dim_param, pre_step, Model, ID, seed=None): """Ribon simulator Parameters ---------- I : array Numpy array with the input current dt : float Timestep dim_param : int Number of parameter pre_step : int Number of time points before the stimuli seed : int or None If set, ...

the_stack_v2_python_sparse

model/Ribon/Ribon_simulation.py

holmosaint/delfi

train

0

63935b09bc8a7ffdca73f629bfadd662819e79ea

[ "three_months_ago = datetime.today() - timedelta(days=90)\nfor event in events:\n start = self.legistar_start(event)\n if not start or (start < three_months_ago and (not self.settings.getbool('CITY_SCRAPERS_ARCHIVE'))):\n continue\n meeting = Meeting(title=event['Name']['label'], description='', cla...

<|body_start_0|> three_months_ago = datetime.today() - timedelta(days=90) for event in events: start = self.legistar_start(event) if not start or (start < three_months_ago and (not self.settings.getbool('CITY_SCRAPERS_ARCHIVE'))): continue meeting = Me...

ChiCityCouncilSpider

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ChiCityCouncilSpider: def parse_legistar(self, events): """`parse_legistar` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs.""" <|body_0|> def _parse_location(self, item): """Parse or generate loc...

stack_v2_sparse_classes_36k_train_032050

2,055

permissive

[ { "docstring": "`parse_legistar` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs.", "name": "parse_legistar", "signature": "def parse_legistar(self, events)" }, { "docstring": "Parse or generate location.", "name": "_pars...

2

stack_v2_sparse_classes_30k_train_011413

Implement the Python class `ChiCityCouncilSpider` described below. Class description: Implement the ChiCityCouncilSpider class. Method signatures and docstrings: - def parse_legistar(self, events): `parse_legistar` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your...

611fce6a2705446e25a2fc33e32090a571eb35d1

<|skeleton|> class ChiCityCouncilSpider: def parse_legistar(self, events): """`parse_legistar` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs.""" <|body_0|> def _parse_location(self, item): """Parse or generate loc...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ChiCityCouncilSpider: def parse_legistar(self, events): """`parse_legistar` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs.""" three_months_ago = datetime.today() - timedelta(days=90) for event in events: ...

the_stack_v2_python_sparse

city_scrapers/spiders/chi_citycouncil.py

City-Bureau/city-scrapers

train

308

05e527cd0a8dbbb35cfcc000e19d4875dcdfb1bc

[ "G = self.parent()\nL = G.splitting_field()\na = G._pari_data.galoispermtopol(pari(self.domain()).Vecsmall())\nP = L._pari_absolute_structure()[1].lift()\na = L(P(a.Mod(L.pari_polynomial('y'))))\nreturn L.hom(a, L)", "if x.parent() == self.parent().splitting_field():\n return self.as_hom()(x)\nelse:\n retur...

<|body_start_0|> G = self.parent() L = G.splitting_field() a = G._pari_data.galoispermtopol(pari(self.domain()).Vecsmall()) P = L._pari_absolute_structure()[1].lift() a = L(P(a.Mod(L.pari_polynomial('y')))) return L.hom(a, L) <|end_body_0|> <|body_start_1|> if x....

An element of a Galois group. This is stored as a permutation, but may also be made to act on elements of the field (generally returning elements of its Galois closure). EXAMPLE:: sage: K.<w> = QuadraticField(-7); G = K.galois_group() sage: G[1] (1,2) sage: G[1](w + 2) -w + 2 sage: L.<v> = NumberField(x^3 - 2); G = L.g...

GaloisGroupElement

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GaloisGroupElement: """An element of a Galois group. This is stored as a permutation, but may also be made to act on elements of the field (generally returning elements of its Galois closure). EXAMPLE:: sage: K.<w> = QuadraticField(-7); G = K.galois_group() sage: G[1] (1,2) sage: G[1](w + 2) -w +...

stack_v2_sparse_classes_36k_train_032051

27,204

no_license

[ { "docstring": "Return the homomorphism L -> L corresponding to self, where L is the Galois closure of the ambient number field. EXAMPLE:: sage: G = QuadraticField(-7,'w').galois_group() sage: G[1].as_hom() Ring endomorphism of Number Field in w with defining polynomial x^2 + 7 Defn: w |--> -w TESTS: Number fie...

3

stack_v2_sparse_classes_30k_train_011969

Implement the Python class `GaloisGroupElement` described below. Class description: An element of a Galois group. This is stored as a permutation, but may also be made to act on elements of the field (generally returning elements of its Galois closure). EXAMPLE:: sage: K.<w> = QuadraticField(-7); G = K.galois_group() ...

0d9eacbf74e2acffefde93e39f8bcbec745cdaba

<|skeleton|> class GaloisGroupElement: """An element of a Galois group. This is stored as a permutation, but may also be made to act on elements of the field (generally returning elements of its Galois closure). EXAMPLE:: sage: K.<w> = QuadraticField(-7); G = K.galois_group() sage: G[1] (1,2) sage: G[1](w + 2) -w +...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GaloisGroupElement: """An element of a Galois group. This is stored as a permutation, but may also be made to act on elements of the field (generally returning elements of its Galois closure). EXAMPLE:: sage: K.<w> = QuadraticField(-7); G = K.galois_group() sage: G[1] (1,2) sage: G[1](w + 2) -w + 2 sage: L.<v...

the_stack_v2_python_sparse

sage/src/sage/rings/number_field/galois_group.py

bopopescu/geosci

train

0

c572665643048d044ef428070028aaba1fb959a1

[ "self.language = language or u'it'\nself.chunker = chunker or u'link'\nself.grammar = grammar", "tagged_tokens = self.disambiguate_tokens(tagged_tokens, simplify=simplify)\nif self.language == u'it' and self.chunker == u'link':\n chunked_tokens = self.link_chunker(tagged_tokens)\nelse:\n chunked_tokens = []...

An object representing a chunker wizard

NltkChunker

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NltkChunker: """An object representing a chunker wizard""" def __init__(self, language=None, chunker=None, grammar=None): """set language""" <|body_0|> def main_chunker(self, tagged_tokens, simplify=True, chunk_tag=None): """choose a chunker based on some paramet...

stack_v2_sparse_classes_36k_train_032052

2,336

no_license

[ { "docstring": "set language", "name": "__init__", "signature": "def __init__(self, language=None, chunker=None, grammar=None)" }, { "docstring": "choose a chunker based on some parameters", "name": "main_chunker", "signature": "def main_chunker(self, tagged_tokens, simplify=True, chunk_...

5

stack_v2_sparse_classes_30k_train_013878

Implement the Python class `NltkChunker` described below. Class description: An object representing a chunker wizard Method signatures and docstrings: - def __init__(self, language=None, chunker=None, grammar=None): set language - def main_chunker(self, tagged_tokens, simplify=True, chunk_tag=None): choose a chunker ...

2bcd965de76c33480af55b8df5242171772a96f6

<|skeleton|> class NltkChunker: """An object representing a chunker wizard""" def __init__(self, language=None, chunker=None, grammar=None): """set language""" <|body_0|> def main_chunker(self, tagged_tokens, simplify=True, chunk_tag=None): """choose a chunker based on some paramet...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NltkChunker: """An object representing a chunker wizard""" def __init__(self, language=None, chunker=None, grammar=None): """set language""" self.language = language or u'it' self.chunker = chunker or u'link' self.grammar = grammar def main_chunker(self, tagged_tokens...

the_stack_v2_python_sparse

wip_nltk/chunkers.py

gtoffoli/django-wip

train

2

d4bf260c03641d7c602bb72f6756b9fd42e930f7

[ "super().__init__(**kwargs)\nassert json_topology is not None, 'must give a JSON format topology'\nassert init_state is not None, 'must give an init state for the topology PDB'\nif main_rep_idxs is None:\n self.main_rep_idxs = list(range(init_state['positions'].shape[0]))\nelse:\n self.main_rep_idxs = main_re...

<|body_start_0|> super().__init__(**kwargs) assert json_topology is not None, 'must give a JSON format topology' assert init_state is not None, 'must give an init state for the topology PDB' if main_rep_idxs is None: self.main_rep_idxs = list(range(init_state['positions'].sha...

Reporter for generating 3D molecular structure files of the walkers produced by a cycle. It generates two different files using the mdtraj library: a PDB format and a DCD file. The PDB is used as a "topology" that is only generated once at the beginning of a simulation (in the call to the 'init' method). This defines t...

WalkerReporter

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class WalkerReporter: """Reporter for generating 3D molecular structure files of the walkers produced by a cycle. It generates two different files using the mdtraj library: a PDB format and a DCD file. The PDB is used as a "topology" that is only generated once at the beginning of a simulation (in the ...

stack_v2_sparse_classes_36k_train_032053

5,495

permissive

[ { "docstring": "Constructor for the WalkerReporter. Parameters ---------- init_state : object implementing WalkerState An initial state, only used for writing the PDB topology. json_topology : str A molecular topology in the common JSON format, that matches the main_rep_idxs. main_rep_idxs : listlike of int The...

3

stack_v2_sparse_classes_30k_train_013552

Implement the Python class `WalkerReporter` described below. Class description: Reporter for generating 3D molecular structure files of the walkers produced by a cycle. It generates two different files using the mdtraj library: a PDB format and a DCD file. The PDB is used as a "topology" that is only generated once at...

3a029510114db6e66db6a264bd213c9f06559b41

<|skeleton|> class WalkerReporter: """Reporter for generating 3D molecular structure files of the walkers produced by a cycle. It generates two different files using the mdtraj library: a PDB format and a DCD file. The PDB is used as a "topology" that is only generated once at the beginning of a simulation (in the ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WalkerReporter: """Reporter for generating 3D molecular structure files of the walkers produced by a cycle. It generates two different files using the mdtraj library: a PDB format and a DCD file. The PDB is used as a "topology" that is only generated once at the beginning of a simulation (in the call to the '...

the_stack_v2_python_sparse

src/wepy/reporter/walker.py

ADicksonLab/wepy

train

43

a8fc46e817f96e4a28116e21595a47200ee57e35

[ "for project_id, backend_services in resource_from_api.iteritems():\n for backend_service in backend_services:\n yield {'project_id': project_id, 'id': backend_service.get('id'), 'creation_timestamp': parser.format_timestamp(backend_service.get('creationTimestamp'), self.MYSQL_DATETIME_FORMAT), 'name': ba...

<|body_start_0|> for project_id, backend_services in resource_from_api.iteritems(): for backend_service in backend_services: yield {'project_id': project_id, 'id': backend_service.get('id'), 'creation_timestamp': parser.format_timestamp(backend_service.get('creationTimestamp'), self....

Load compute backend services for all projects.

LoadBackendServicesPipeline

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LoadBackendServicesPipeline: """Load compute backend services for all projects.""" def _transform(self, resource_from_api): """Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: it...

stack_v2_sparse_classes_36k_train_032054

4,698

permissive

[ { "docstring": "Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: iterator: backend service properties in a dict.", "name": "_transform", "signature": "def _transform(self, resource_from_api)" }, ...

3

stack_v2_sparse_classes_30k_val_000322

Implement the Python class `LoadBackendServicesPipeline` described below. Class description: Load compute backend services for all projects. Method signatures and docstrings: - def _transform(self, resource_from_api): Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwar...

a6a1aa7464cda2ad5948e3e8876eb8dded5e2514

<|skeleton|> class LoadBackendServicesPipeline: """Load compute backend services for all projects.""" def _transform(self, resource_from_api): """Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: it...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LoadBackendServicesPipeline: """Load compute backend services for all projects.""" def _transform(self, resource_from_api): """Create an iterator of backend services to load into database. Args: resource_from_api (dict): Forwarding rules, keyed by project id, from GCP API. Yields: iterator: backe...

the_stack_v2_python_sparse

google/cloud/security/inventory/pipelines/load_backend_services_pipeline.py

shimizu19691210/forseti-security

train

1

26ae598a4362d6ff746580dbb6ca750f2818ae3f

[ "app = AndroidApplication.instance()\nf = app.create_future()\n\ndef on_result(perms):\n f.set_result(perms.get(cls.CAMERA_PERMISSION, False))\n\ndef on_has_perm(result):\n if result:\n f.set_result(True)\n else:\n app.request_permissions((cls.CAMERA_PERMISSION,)).then(on_result)\napp.has_per...

<|body_start_0|> app = AndroidApplication.instance() f = app.create_future() def on_result(perms): f.set_result(perms.get(cls.CAMERA_PERMISSION, False)) def on_has_perm(result): if result: f.set_result(True) else: app....

Access android's CameraManager. Use the static class methods.

CameraManager

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CameraManager: """Access android's CameraManager. Use the static class methods.""" def request_permission(cls): """Requests permission and returns an future result that returns a boolean indicating if all the given permission were granted or denied.""" <|body_0|> def get...

stack_v2_sparse_classes_36k_train_032055

15,665

permissive

[ { "docstring": "Requests permission and returns an future result that returns a boolean indicating if all the given permission were granted or denied.", "name": "request_permission", "signature": "def request_permission(cls)" }, { "docstring": "Return the list of cameras this device supports", ...

2

stack_v2_sparse_classes_30k_train_003687

Implement the Python class `CameraManager` described below. Class description: Access android's CameraManager. Use the static class methods. Method signatures and docstrings: - def request_permission(cls): Requests permission and returns an future result that returns a boolean indicating if all the given permission w...

04c3a015bcd649f374c5ecd98fcddba5e4fbdbdc

<|skeleton|> class CameraManager: """Access android's CameraManager. Use the static class methods.""" def request_permission(cls): """Requests permission and returns an future result that returns a boolean indicating if all the given permission were granted or denied.""" <|body_0|> def get...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CameraManager: """Access android's CameraManager. Use the static class methods.""" def request_permission(cls): """Requests permission and returns an future result that returns a boolean indicating if all the given permission were granted or denied.""" app = AndroidApplication.instance() ...

the_stack_v2_python_sparse

src/enamlnative/android/android_camera.py

mfkiwl/enaml-native

train

0

61a5dff3746d83b2e879a0da368addc3f813edad

[ "dic = {root: None}\n\ndef dfs(node):\n if node:\n if node.left:\n dic[node.left] = node\n if node.right:\n dic[node.right] = node\n dfs(node.left)\n dfs(node.right)\ndfs(root)\nl1, l2 = (p, q)\nwhile l1 != l2:\n l1 = dic.get(l1, q)\n l2 = dic.get(l2, p)\nr...

<|body_start_0|> dic = {root: None} def dfs(node): if node: if node.left: dic[node.left] = node if node.right: dic[node.right] = node dfs(node.left) dfs(node.right) dfs(root) ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032056

5,443

no_license

[ { "docstring": "思路：存储父节点", "name": "lowestCommonAncestor1", "signature": "def lowestCommonAncestor1(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode'" }, { "docstring": "思路：递归", "name": "lowestCommonAncestor2", "signature": "def lowestCommonAncestor2(self, root: 'TreeNo...

2

stack_v2_sparse_classes_30k_train_002935

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def lowestCommonAncestor1(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode': 思路：存储父节点 - def lowestCommonAncestor2(self, root: 'TreeNode', p: 'TreeNode', q: 'Tre...

e43ee86c5a8cdb808da09b4b6138e10275abadb5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def lowestCommonAncestor1(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode': """思路：存储父节点""" dic = {root: None} def dfs(node): if node: if node.left: dic[node.left] = node if node.right: ...

the_stack_v2_python_sparse

LeetCode/树(Binary Tree)/236. Lowest Common Ancestor of a Binary Tree.py

yiming1012/MyLeetCode

train

2

45b535e9651401875563e04fd2f08e4e2247175d

[ "self.logger = Log()\nself.logger.info('########################### TestWalletOpen START ###########################')\nconfig = ReadYaml(FileUtil.getProjectObsPath() + '/config/config.yaml').getValue()\napp_package = config['appPackage_chezhu']\napp_activity = config['appActivity_chezhu']\nself.db = DbOperation()\...

<|body_start_0|> self.logger = Log() self.logger.info('########################### TestWalletOpen START ###########################') config = ReadYaml(FileUtil.getProjectObsPath() + '/config/config.yaml').getValue() app_package = config['appPackage_chezhu'] app_activity = config...

凯京车主APP 开通钱包

TestWalletOpen

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032057

2,299

no_license

[ { "docstring": "前置条件准备", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "测试环境重置", "name": "tearDown", "signature": "def tearDown(self)" }, { "docstring": "开通司机钱包", "name": "test_bvt_wallet_open", "signature": "def test_bvt_wallet_open(self)" } ]

3

stack_v2_sparse_classes_30k_train_018874

Implement the Python class `TestWalletOpen` described below. Class description: 凯京车主APP 开通钱包 Method signatures and docstrings: - def setUp(self): 前置条件准备 - def tearDown(self): 测试环境重置 - def test_bvt_wallet_open(self): 开通司机钱包

Implement the Python class `TestWalletOpen` described below. Class description: 凯京车主APP 开通钱包 Method signatures and docstrings: - def setUp(self): 前置条件准备 - def tearDown(self): 测试环境重置 - def test_bvt_wallet_open(self): 开通司机钱包 <|skeleton|> class TestWalletOpen: """凯京车主APP 开通钱包""" def setUp(self): """前置条...

4112ee34827a68289ba95a30518c4b1ecf38a3b2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestWalletOpen: """凯京车主APP 开通钱包""" def setUp(self): """前置条件准备""" self.logger = Log() self.logger.info('########################### TestWalletOpen START ###########################') config = ReadYaml(FileUtil.getProjectObsPath() + '/config/config.yaml').getValue() ...

the_stack_v2_python_sparse

BVT/chezhuAPP/driver_unregister/test_case/test_wallet_open_chezhu.py

penny1205/AppUI

train

0

5f1dd141c169131cb651e1c644b3feaa73662497

[ "if not root:\n return []\n\ndef dfs(node):\n stack.append(node)\n if not node.left and (not node.right):\n vals = [i.val for i in stack]\n if sum(vals) == su:\n result.append(vals)\n if node.left:\n dfs(node.left)\n if node.right:\n dfs(node.right)\n stack.p...

<|body_start_0|> if not root: return [] def dfs(node): stack.append(node) if not node.left and (not node.right): vals = [i.val for i in stack] if sum(vals) == su: result.append(vals) if node.left: ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def pathSum(self, root, su): """:type root: TreeNode :type su: int :rtype: List[List[int]] DFS: Use stack to save path. 用 sum - current value 直到根node等於剩下的sum 則為答案這樣比較快不用每次sum[stack]""" <|body_0|> def rewrite(self, root, sum): """:type root: TreeNode :typ...

stack_v2_sparse_classes_36k_train_032058

3,396

no_license

[ { "docstring": ":type root: TreeNode :type su: int :rtype: List[List[int]] DFS: Use stack to save path. 用 sum - current value 直到根node等於剩下的sum 則為答案這樣比較快不用每次sum[stack]", "name": "pathSum", "signature": "def pathSum(self, root, su)" }, { "docstring": ":type root: TreeNode :type su: int :rtype: L...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def pathSum(self, root, su): :type root: TreeNode :type su: int :rtype: List[List[int]] DFS: Use stack to save path. 用 sum - current value 直到根node等於剩下的sum 則為答案這樣比較快不用每次sum[sta...

6350568d16b0f8c49a020f055bb6d72e2705ea56

<|skeleton|> class Solution: def pathSum(self, root, su): """:type root: TreeNode :type su: int :rtype: List[List[int]] DFS: Use stack to save path. 用 sum - current value 直到根node等於剩下的sum 則為答案這樣比較快不用每次sum[stack]""" <|body_0|> def rewrite(self, root, sum): """:type root: TreeNode :typ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def pathSum(self, root, su): """:type root: TreeNode :type su: int :rtype: List[List[int]] DFS: Use stack to save path. 用 sum - current value 直到根node等於剩下的sum 則為答案這樣比較快不用每次sum[stack]""" if not root: return [] def dfs(node): stack.append(node) ...

the_stack_v2_python_sparse

co_fb/113_Path_Sum_II.py

vsdrun/lc_public

train

6

8d2b05c36ae48025a75a2352629f4739a5a2009f

[ "if type(columns) is list:\n self._columns = columns\nelif type(columns) is str:\n self._columns = [columns]\nelse:\n self._columns = None", "if self._columns is None:\n yield df\nelse:\n for _, frame in df.groupby(self._columns):\n yield frame" ]

Divides data into groups.

GroupBy

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GroupBy: """Divides data into groups.""" def __init__(self, columns: str or list[str] or None=None) -> None: """Creates a new instance of GroupBy Args: columns (str or list[str]): list of columns to group by. If not given then the whole data frame is treated as one group Returns: no ...

stack_v2_sparse_classes_36k_train_032059

1,090

permissive

[ { "docstring": "Creates a new instance of GroupBy Args: columns (str or list[str]): list of columns to group by. If not given then the whole data frame is treated as one group Returns: no value", "name": "__init__", "signature": "def __init__(self, columns: str or list[str] or None=None) -> None" }, ...

2

stack_v2_sparse_classes_30k_val_000748

Implement the Python class `GroupBy` described below. Class description: Divides data into groups. Method signatures and docstrings: - def __init__(self, columns: str or list[str] or None=None) -> None: Creates a new instance of GroupBy Args: columns (str or list[str]): list of columns to group by. If not given then ...

fea40936261dcbcfd144a15a498abf0b556c64f1

<|skeleton|> class GroupBy: """Divides data into groups.""" def __init__(self, columns: str or list[str] or None=None) -> None: """Creates a new instance of GroupBy Args: columns (str or list[str]): list of columns to group by. If not given then the whole data frame is treated as one group Returns: no ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GroupBy: """Divides data into groups.""" def __init__(self, columns: str or list[str] or None=None) -> None: """Creates a new instance of GroupBy Args: columns (str or list[str]): list of columns to group by. If not given then the whole data frame is treated as one group Returns: no value""" ...

the_stack_v2_python_sparse

datavalid/group_by.py

pckhoi/datavalid

train

5

49075da7a422037382d2a046d521292e07e7cbc1

[ "results = None\npaginator = None\ntry:\n paginator = Paginator(collection, per_page)\nexcept Exception:\n pass\ntry:\n results = paginator.page(page)\nexcept PageNotAnInteger:\n results = paginator.page(1)\nexcept EmptyPage:\n results = paginator.page(paginator.num_pages)\nreturn (results, paginator...

<|body_start_0|> results = None paginator = None try: paginator = Paginator(collection, per_page) except Exception: pass try: results = paginator.page(page) except PageNotAnInteger: results = paginator.page(1) except...

A model for a seach page, to respond to query requests.

SearchPage

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SearchPage: """A model for a seach page, to respond to query requests.""" def get_paginated(self, collection, page: int, per_page: int=10): """Handle some error conditions and tries to return working pagination.""" <|body_0|> def serve(self, request, page=None): ...

stack_v2_sparse_classes_36k_train_032060

3,767

permissive

[ { "docstring": "Handle some error conditions and tries to return working pagination.", "name": "get_paginated", "signature": "def get_paginated(self, collection, page: int, per_page: int=10)" }, { "docstring": "Serve the search page with query info and paginated results.", "name": "serve", ...

2

stack_v2_sparse_classes_30k_train_010597

Implement the Python class `SearchPage` described below. Class description: A model for a seach page, to respond to query requests. Method signatures and docstrings: - def get_paginated(self, collection, page: int, per_page: int=10): Handle some error conditions and tries to return working pagination. - def serve(sel...

4cf7be72b6b3d0c46dcadcc9d9904b471215ea81

<|skeleton|> class SearchPage: """A model for a seach page, to respond to query requests.""" def get_paginated(self, collection, page: int, per_page: int=10): """Handle some error conditions and tries to return working pagination.""" <|body_0|> def serve(self, request, page=None): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SearchPage: """A model for a seach page, to respond to query requests.""" def get_paginated(self, collection, page: int, per_page: int=10): """Handle some error conditions and tries to return working pagination.""" results = None paginator = None try: paginator...

the_stack_v2_python_sparse

search/models.py

IATI/IATI-Standard-Website

train

4

39a05543fcc027b0f8ccff1d41cdcf95b12d7ff2

[ "if config is None:\n config = pipeline_config.PipelineConfig(supported_launcher_classes=[in_process_component_launcher.InProcessComponentLauncher, docker_component_launcher.DockerComponentLauncher])\nsuper().__init__(config)", "tfx_pipeline.pipeline_info.run_id = datetime.datetime.now().isoformat()\nwith tele...

Local TFX DAG runner.

LocalDagRunner

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LocalDagRunner: """Local TFX DAG runner.""" def __init__(self, config: Optional[pipeline_config.PipelineConfig]=None): """Initializes local TFX orchestrator. Args: config: Optional pipeline config for customizing the launching of each component. Defaults to pipeline config that suppo...

stack_v2_sparse_classes_36k_train_032061

3,897

permissive

[ { "docstring": "Initializes local TFX orchestrator. Args: config: Optional pipeline config for customizing the launching of each component. Defaults to pipeline config that supports InProcessComponentLauncher and DockerComponentLauncher.", "name": "__init__", "signature": "def __init__(self, config: Opt...

2

stack_v2_sparse_classes_30k_train_014092

Implement the Python class `LocalDagRunner` described below. Class description: Local TFX DAG runner. Method signatures and docstrings: - def __init__(self, config: Optional[pipeline_config.PipelineConfig]=None): Initializes local TFX orchestrator. Args: config: Optional pipeline config for customizing the launching ...

1b328504fa08a70388691e4072df76f143631325

<|skeleton|> class LocalDagRunner: """Local TFX DAG runner.""" def __init__(self, config: Optional[pipeline_config.PipelineConfig]=None): """Initializes local TFX orchestrator. Args: config: Optional pipeline config for customizing the launching of each component. Defaults to pipeline config that suppo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LocalDagRunner: """Local TFX DAG runner.""" def __init__(self, config: Optional[pipeline_config.PipelineConfig]=None): """Initializes local TFX orchestrator. Args: config: Optional pipeline config for customizing the launching of each component. Defaults to pipeline config that supports InProcess...

the_stack_v2_python_sparse

tfx/orchestration/local/legacy/local_dag_runner.py

tensorflow/tfx

train

2,116

3c36c8665b45a1664df341a7bfc8109cd0f3c636

[ "self.counts = {}\nself.max_time = {}\nself.min_time = {}\nself.total_time = {}", "if name in self.counts:\n self.counts[name] += 1\n self.max_time[name] = max(self.max_time[name], duration)\n self.min_time[name] = min(self.min_time[name], duration)\n self.total_time[name] += duration\nelse:\n self...

<|body_start_0|> self.counts = {} self.max_time = {} self.min_time = {} self.total_time = {} <|end_body_0|> <|body_start_1|> if name in self.counts: self.counts[name] += 1 self.max_time[name] = max(self.max_time[name], duration) self.min_time[...

A collection of statistics.

Stats

[ "LicenseRef-scancode-dco-1.1", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032062

6,778

permissive

[ { "docstring": "Initialize the Stats instance.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Log an entry in the stats.", "name": "log", "signature": "def log(self, name: str, duration: float)" }, { "docstring": "Summarize the stats in a dictionary.",...

3

null

Implement the Python class `Stats` described below. Class description: A collection of statistics. Method signatures and docstrings: - def __init__(self): Initialize the Stats instance. - def log(self, name: str, duration: float): Log an entry in the stats. - def extract(self, names: Sequence[str]=None) -> dict: Summ...

39cac36d8937ce84a9307ce100aaefb8bc05ec04

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Stats: """A collection of statistics.""" def __init__(self): """Initialize the Stats instance.""" self.counts = {} self.max_time = {} self.min_time = {} self.total_time = {} def log(self, name: str, duration: float): """Log an entry in the stats.""" ...

the_stack_v2_python_sparse

aries_cloudagent/utils/stats.py

hyperledger/aries-cloudagent-python

train

370

b7b243d2056dd82940463cafd5c63a6c367a1933

[ "all_cl_with_extrussion = []\ninner_cls = []\nouter_cls = []\ni_x = 0\nfor cl in curve_loops:\n plane_normal = cl.GetPlane().Normal\n solid_elem = GeometryCreationUtilities.CreateExtrusionGeometry([cl], plane_normal, 1)\n i_x = i_x + 1\n for face in solid_elem.Faces:\n if face.FaceNormal.IsAlmost...

<|body_start_0|> all_cl_with_extrussion = [] inner_cls = [] outer_cls = [] i_x = 0 for cl in curve_loops: plane_normal = cl.GetPlane().Normal solid_elem = GeometryCreationUtilities.CreateExtrusionGeometry([cl], plane_normal, 1) i_x = i_x + 1 ...

Работа с проемами геометрии.

Hole

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032063

2,714

no_license

[ { "docstring": "Ищет внешний контур.", "name": "find_outer_contur_in_cls", "signature": "def find_outer_contur_in_cls(cls, curve_loops)" }, { "docstring": "Находится ли первая точка контура внутри поверхности.", "name": "first_point_is_inside_face", "signature": "def first_point_is_insid...

2

stack_v2_sparse_classes_30k_train_008724

Implement the Python class `Hole` described below. Class description: Работа с проемами геометрии. Method signatures and docstrings: - def find_outer_contur_in_cls(cls, curve_loops): Ищет внешний контур. - def first_point_is_inside_face(cls, e_1, e_2): Находится ли первая точка контура внутри поверхности.

Implement the Python class `Hole` described below. Class description: Работа с проемами геометрии. Method signatures and docstrings: - def find_outer_contur_in_cls(cls, curve_loops): Ищет внешний контур. - def first_point_is_inside_face(cls, e_1, e_2): Находится ли первая точка контура внутри поверхности. <|skeleton...

520c69a2769bb3d9c91cce6da314fdcc239320c4

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Hole: """Работа с проемами геометрии.""" def find_outer_contur_in_cls(cls, curve_loops): """Ищет внешний контур.""" all_cl_with_extrussion = [] inner_cls = [] outer_cls = [] i_x = 0 for cl in curve_loops: plane_normal = cl.GetPlane().Normal ...

the_stack_v2_python_sparse

common_scripts/RB_Geometry/Hole.py

NauGaika/RedBimTest

train

0

a6fd5a79e0892cbf08161f34eed2ade38d5f07fd

[ "v1 = Vector(v1, copy=False)\nv2 = Vector(v2, copy=False)\nn1 = v1.norm()\nn2 = v2.norm()\nif n1 == 0 or n2 == 0:\n raise ValueError(\"Can't calculate angle between zero length vectors !\")\ncos_a = v1.dot(v2) / (n1 * n2)\ncos_a = max(-1.0, min(1.0, cos_a))\nreturn math.acos(cos_a)", "p1 = Vector(p1, copy=Fals...

<|body_start_0|> v1 = Vector(v1, copy=False) v2 = Vector(v2, copy=False) n1 = v1.norm() n2 = v2.norm() if n1 == 0 or n2 == 0: raise ValueError("Can't calculate angle between zero length vectors !") cos_a = v1.dot(v2) / (n1 * n2) cos_a = max(-1.0, min(1...

Represents a triangle constructed from different other geometrical entities.

Triangle

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Triangle: """Represents a triangle constructed from different other geometrical entities.""" def angle_between_vectors(v1, v2): """Calculates the angle between <v1> and <v2>. The result is in the range [0, pi] On degenerate input (any of the vectors of norm 0) will raise ValueError."...

stack_v2_sparse_classes_36k_train_032064

1,355

permissive

[ { "docstring": "Calculates the angle between <v1> and <v2>. The result is in the range [0, pi] On degenerate input (any of the vectors of norm 0) will raise ValueError.", "name": "angle_between_vectors", "signature": "def angle_between_vectors(v1, v2)" }, { "docstring": "Calculates the angle p1-...

2

stack_v2_sparse_classes_30k_train_002347

Implement the Python class `Triangle` described below. Class description: Represents a triangle constructed from different other geometrical entities. Method signatures and docstrings: - def angle_between_vectors(v1, v2): Calculates the angle between <v1> and <v2>. The result is in the range [0, pi] On degenerate inp...

43cceabf5fd4ddf6dbfd8c6d5329b9a4bba4ecb7

<|skeleton|> class Triangle: """Represents a triangle constructed from different other geometrical entities.""" def angle_between_vectors(v1, v2): """Calculates the angle between <v1> and <v2>. The result is in the range [0, pi] On degenerate input (any of the vectors of norm 0) will raise ValueError."...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Triangle: """Represents a triangle constructed from different other geometrical entities.""" def angle_between_vectors(v1, v2): """Calculates the angle between <v1> and <v2>. The result is in the range [0, pi] On degenerate input (any of the vectors of norm 0) will raise ValueError.""" v1...

the_stack_v2_python_sparse

brlcad/vmath/triangle.py

kanzure/python-brlcad

train

6

7d7f05f3d91e0e686f6b21602d64b6f280f8b29d

[ "forward = {i: set() for i in range(numCourses)}\nbackward = collections.defaultdict(set)\nfor i, j in prerequisites:\n forward[i].add(j)\n backward[j].add(i)\nqueue = collections.deque([node for node in forward if len(forward[node]) == 0])\ncount, res = (0, [])\nwhile queue:\n node = queue.popleft()\n ...

<|body_start_0|> forward = {i: set() for i in range(numCourses)} backward = collections.defaultdict(set) for i, j in prerequisites: forward[i].add(j) backward[j].add(i) queue = collections.deque([node for node in forward if len(forward[node]) == 0]) count,...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def findOrder(self, numCourses, prerequisites): """:type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]""" <|body_0|> def findOrder_1(self, numCourses, prerequisites): """:type numCourses: int :type prerequisites: List[List[int]] :rt...

stack_v2_sparse_classes_36k_train_032065

3,709

no_license

[ { "docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]", "name": "findOrder", "signature": "def findOrder(self, numCourses, prerequisites)" }, { "docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool", "name": "findOrder_1"...

2

stack_v2_sparse_classes_30k_train_007940

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findOrder(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int] - def findOrder_1(self, numCourses, prerequisites): :...

3d9e0ad2f6ed92ec969556f75d97c51ea4854719

<|skeleton|> class Solution: def findOrder(self, numCourses, prerequisites): """:type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]""" <|body_0|> def findOrder_1(self, numCourses, prerequisites): """:type numCourses: int :type prerequisites: List[List[int]] :rt...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findOrder(self, numCourses, prerequisites): """:type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]""" forward = {i: set() for i in range(numCourses)} backward = collections.defaultdict(set) for i, j in prerequisites: forward[i]...

the_stack_v2_python_sparse

Solutions/0210_findOrder.py

YoupengLi/leetcode-sorting

train

3

1643746f03331cdeb7da929080bc0033af9bd61c

[ "url = reverse('it_system_api_resource')\nresponse = self.client.get(url)\nself.assertEqual(response.status_code, 200)\nself.assertContains(response, self.it_prod.name)\nself.assertContains(response, self.it_leg.name)\nself.assertNotContains(response, self.it_dev.name)\nself.assertNotContains(response, self.it_dec....

<|body_start_0|> url = reverse('it_system_api_resource') response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertContains(response, self.it_prod.name) self.assertContains(response, self.it_leg.name) self.assertNotContains(response, self.it_d...

ITSystemAPIResourceTestCase

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032066

1,674

permissive

[ { "docstring": "Test the ITSystemAPIResource list response", "name": "test_list", "signature": "def test_list(self)" }, { "docstring": "Test the ITSystemAPIResource filtered responses", "name": "test_list_filtering", "signature": "def test_list_filtering(self)" }, { "docstring": ...

3

stack_v2_sparse_classes_30k_train_008068

Implement the Python class `ITSystemAPIResourceTestCase` described below. Class description: Implement the ITSystemAPIResourceTestCase class. Method signatures and docstrings: - def test_list(self): Test the ITSystemAPIResource list response - def test_list_filtering(self): Test the ITSystemAPIResource filtered respo...

25f173279ac1e1a81af9ff1d8dc0360b51adccf6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ITSystemAPIResourceTestCase: def test_list(self): """Test the ITSystemAPIResource list response""" url = reverse('it_system_api_resource') response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertContains(response, self.it_prod.name) ...

the_stack_v2_python_sparse

registers/test_api.py

ropable/it-assets

train

1

74cd87827d18a9e0e2cb2f999a894ca92ee3fe42

[ "self.num_vms_in_cluster = num_vms_in_cluster\nself.scaler_logic_called = False\nScale.__init__(self, sim=sim, scale_rate=scale_rate, startup_delay_func=startup_delay_func, shutdown_delay=shutdown_delay)", "servers_to_stop = 0\nif self.scaler_logic_called is False:\n servers_to_start = self.num_vms_in_cluster\...

Wake up periodically and Scale the cluster This policy requests self.num_vms_in_cluster number of virtual machines, and makes no further requests to modify the cluster size after the initial request.

FixedSizePolicy

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FixedSizePolicy: """Wake up periodically and Scale the cluster This policy requests self.num_vms_in_cluster number of virtual machines, and makes no further requests to modify the cluster size after the initial request.""" def __init__(self, sim, scale_rate, startup_delay_func, shutdown_dela...

stack_v2_sparse_classes_36k_train_032067

1,645

no_license

[ { "docstring": "Initializes a FixedSizePolicy object parameters: sim -- The Simulation containing a cluster cluster object this scale function is managing scale_rate -- The interarrival time between scale events in seconds startup_delay_func -- A callable that returns the time a server spends in the booting sta...

2

stack_v2_sparse_classes_30k_train_017178

Implement the Python class `FixedSizePolicy` described below. Class description: Wake up periodically and Scale the cluster This policy requests self.num_vms_in_cluster number of virtual machines, and makes no further requests to modify the cluster size after the initial request. Method signatures and docstrings: - d...

30dc0702f6189307ff776525a2f3006ec471de47

<|skeleton|> class FixedSizePolicy: """Wake up periodically and Scale the cluster This policy requests self.num_vms_in_cluster number of virtual machines, and makes no further requests to modify the cluster size after the initial request.""" def __init__(self, sim, scale_rate, startup_delay_func, shutdown_dela...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FixedSizePolicy: """Wake up periodically and Scale the cluster This policy requests self.num_vms_in_cluster number of virtual machines, and makes no further requests to modify the cluster size after the initial request.""" def __init__(self, sim, scale_rate, startup_delay_func, shutdown_delay, num_vms_in...

the_stack_v2_python_sparse

appsim/scaler/fixed_size_policy.py

bmbouter/vcl_simulation

train

0

5172a1d92a77c27833bc810b2eb69fb4e8c0cb47

[ "super().__init__()\nself.sock = sock\nself.database = database\nself.setFixedSize(350, 120)\nself.setWindowTitle('Выберите контакт для добавления:')\nself.setAttribute(Qt.WA_DeleteOnClose)\nself.setModal(True)\nself.selector_label = QLabel(f'would u add:\\n {contact}', self)\nself.selector_label.setFixedSize(200, ...

<|body_start_0|> super().__init__() self.sock = sock self.database = database self.setFixedSize(350, 120) self.setWindowTitle('Выберите контакт для добавления:') self.setAttribute(Qt.WA_DeleteOnClose) self.setModal(True) self.selector_label = QLabel(f'woul...

AddContactDialog

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AddContactDialog: def __init__(self, sock, database, contact): """GUI for add dialog window :param sock: connection socket :param database: connected database :param contact: name of adding contact""" <|body_0|> def possible_contacts_update(self): """:return: set of ...

stack_v2_sparse_classes_36k_train_032068

2,448

no_license

[ { "docstring": "GUI for add dialog window :param sock: connection socket :param database: connected database :param contact: name of adding contact", "name": "__init__", "signature": "def __init__(self, sock, database, contact)" }, { "docstring": ":return: set of possible contact from database",...

3

null

Implement the Python class `AddContactDialog` described below. Class description: Implement the AddContactDialog class. Method signatures and docstrings: - def __init__(self, sock, database, contact): GUI for add dialog window :param sock: connection socket :param database: connected database :param contact: name of ...

138b59fd8c858a0272f10f7e86b001c174f73a40

<|skeleton|> class AddContactDialog: def __init__(self, sock, database, contact): """GUI for add dialog window :param sock: connection socket :param database: connected database :param contact: name of adding contact""" <|body_0|> def possible_contacts_update(self): """:return: set of ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AddContactDialog: def __init__(self, sock, database, contact): """GUI for add dialog window :param sock: connection socket :param database: connected database :param contact: name of adding contact""" super().__init__() self.sock = sock self.database = database self.set...

the_stack_v2_python_sparse

part_2/lesson_7/client/add_contact.py

isthatjoke/messenger

train

0

30cc8da777a83a5cf7ad3ae3568251cea9ad4b3a

[ "with tables(db.engine, 'bams') as (con, bams):\n q = select(bams.c).where(bams.c.id == bam_id)\n return dict(_abort_if_none(q.execute().fetchone(), bam_id))", "with tables(db.engine, 'bams') as (con, bams):\n q = bams.update(bams.c.id == bam_id).values(**request.validated_body).returning(*bams.c)\n r...

Bam

[ "Apache-2.0", "CC-BY-3.0", "CC-BY-4.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032069

4,466

permissive

[ { "docstring": "Get a BAM by its ID.", "name": "get", "signature": "def get(self, bam_id)" }, { "docstring": "Update the BAM by its ID.", "name": "put", "signature": "def put(self, bam_id)" }, { "docstring": "Delete a BAM by its ID.", "name": "delete", "signature": "def d...

3

stack_v2_sparse_classes_30k_train_020184

Implement the Python class `Bam` described below. Class description: Implement the Bam class. Method signatures and docstrings: - def get(self, bam_id): Get a BAM by its ID. - def put(self, bam_id): Update the BAM by its ID. - def delete(self, bam_id): Delete a BAM by its ID.

Implement the Python class `Bam` described below. Class description: Implement the Bam class. Method signatures and docstrings: - def get(self, bam_id): Get a BAM by its ID. - def put(self, bam_id): Update the BAM by its ID. - def delete(self, bam_id): Delete a BAM by its ID. <|skeleton|> class Bam: def get(sel...

a436c4fc212e4429fb5196a9a4d36c37bd050c52

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Bam: def get(self, bam_id): """Get a BAM by its ID.""" with tables(db.engine, 'bams') as (con, bams): q = select(bams.c).where(bams.c.id == bam_id) return dict(_abort_if_none(q.execute().fetchone(), bam_id)) def put(self, bam_id): """Update the BAM by its I...

the_stack_v2_python_sparse

cycledash/api/bams.py

haoziyeung/cycledash

train

0

e058866aab8b0d075db8236bb6da253417dfcecc

[ "with self.assertRaisesRegex(TypeError, 'cirq.sim.simulator.SimulatesExpectationValues.'):\n cirq_ops._get_cirq_analytical_expectation('junk')\ncirq_ops._get_cirq_analytical_expectation()\ncirq_ops._get_cirq_analytical_expectation(cirq.Simulator())\ncirq_ops._get_cirq_analytical_expectation(cirq.DensityMatrixSim...

<|body_start_0|> with self.assertRaisesRegex(TypeError, 'cirq.sim.simulator.SimulatesExpectationValues.'): cirq_ops._get_cirq_analytical_expectation('junk') cirq_ops._get_cirq_analytical_expectation() cirq_ops._get_cirq_analytical_expectation(cirq.Simulator()) cirq_ops._get_c...

Tests get_cirq_analytical_expectation.

CirqAnalyticalExpectationTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CirqAnalyticalExpectationTest: """Tests get_cirq_analytical_expectation.""" def test_get_cirq_analytical_expectation_op(self): """Input check the wrapper for the cirq analytical expectation op.""" <|body_0|> def test_cirq_analytical_expectation_op_inputs(self): "...

stack_v2_sparse_classes_36k_train_032070

23,553

permissive

[ { "docstring": "Input check the wrapper for the cirq analytical expectation op.", "name": "test_get_cirq_analytical_expectation_op", "signature": "def test_get_cirq_analytical_expectation_op(self)" }, { "docstring": "Test input checking in the state sim op.", "name": "test_cirq_analytical_ex...

4

stack_v2_sparse_classes_30k_train_018388

Implement the Python class `CirqAnalyticalExpectationTest` described below. Class description: Tests get_cirq_analytical_expectation. Method signatures and docstrings: - def test_get_cirq_analytical_expectation_op(self): Input check the wrapper for the cirq analytical expectation op. - def test_cirq_analytical_expect...

f56257bceb988b743790e1e480eac76fd036d4ff

<|skeleton|> class CirqAnalyticalExpectationTest: """Tests get_cirq_analytical_expectation.""" def test_get_cirq_analytical_expectation_op(self): """Input check the wrapper for the cirq analytical expectation op.""" <|body_0|> def test_cirq_analytical_expectation_op_inputs(self): "...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CirqAnalyticalExpectationTest: """Tests get_cirq_analytical_expectation.""" def test_get_cirq_analytical_expectation_op(self): """Input check the wrapper for the cirq analytical expectation op.""" with self.assertRaisesRegex(TypeError, 'cirq.sim.simulator.SimulatesExpectationValues.'): ...

the_stack_v2_python_sparse

tensorflow_quantum/core/ops/cirq_ops_test.py

tensorflow/quantum

train

1,799

620e6244d1969215d76512ea24d19e9492a8e3c3

[ "\"\"\"\n case 1: A point is influenced by an edge.\n\n (1,5) *\n (0,0)*-----------* (10,0)\n\n \"\"\"\nvertices1 = np.array([[0, 0], [5, 1], [10, 0]])\nd1 = 5\ngradients1 = np.array([[0, 0], [0, 8], [0, 0]])\nenergy1 = 16\n'\\n case 2: Case 1 in inverse order\\n ...

<|body_start_0|> """ case 1: A point is influenced by an edge. (1,5) * (0,0)*-----------* (10,0) """ vertices1 = np.array([[0, 0], [5, 1], [10, 0]]) d1 = 5 gradients1 = np.array([[0, 0], [0, 8], [0, 0]]) ...

TestEdgeConstraint

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032071

19,054

no_license

[ { "docstring": ":return:", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Tests whether the vertex_constraint_grad function works.", "name": "test_edge_constraint_grad", "signature": "def test_edge_constraint_grad(self)" }, { "docstring": "Tests whether the ed...

3

stack_v2_sparse_classes_30k_train_006425

Implement the Python class `TestEdgeConstraint` described below. Class description: Implement the TestEdgeConstraint class. Method signatures and docstrings: - def setUp(self): :return: - def test_edge_constraint_grad(self): Tests whether the vertex_constraint_grad function works. - def test_vertex_constraint(self): ...

63cbf87823d772c9db18d285f7ff211d18551472

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestEdgeConstraint: def setUp(self): """:return:""" """ case 1: A point is influenced by an edge. (1,5) * (0,0)*-----------* (10,0) """ vertices1 = np.array([[0, 0], [5, 1], [10, 0]]) d1 = 5 ...

the_stack_v2_python_sparse

main_directory/test_energies.py

Jeronics/cac-segmenter

train

3

c871ee0b8913b833c51cd0620584ba5f3495db75

[ "lines = ['foobar'] + PRESUBMIT.ARC_COMPILE_GUARD\nmock_input = PRESUBMIT_test_mocks.MockInputApi()\nmock_input.files = [PRESUBMIT_test_mocks.MockFile('ios/path/foo_controller.mm', lines), PRESUBMIT_test_mocks.MockFile('ios/path/foo_controller.m', lines)]\nmock_output = PRESUBMIT_test_mocks.MockOutputApi()\nerrors ...

<|body_start_0|> lines = ['foobar'] + PRESUBMIT.ARC_COMPILE_GUARD mock_input = PRESUBMIT_test_mocks.MockInputApi() mock_input.files = [PRESUBMIT_test_mocks.MockFile('ios/path/foo_controller.mm', lines), PRESUBMIT_test_mocks.MockFile('ios/path/foo_controller.m', lines)] mock_output = PRES...

Test the _CheckARCCompilationGuard presubmit check.

CheckARCCompilationGuardTest

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CheckARCCompilationGuardTest: """Test the _CheckARCCompilationGuard presubmit check.""" def testGoodImplementationFiles(self): """Test that .m and .mm files with a guard don't raise any errors.""" <|body_0|> def testBadImplementationFiles(self): """Test that .m a...

stack_v2_sparse_classes_36k_train_032072

3,527

permissive

[ { "docstring": "Test that .m and .mm files with a guard don't raise any errors.", "name": "testGoodImplementationFiles", "signature": "def testGoodImplementationFiles(self)" }, { "docstring": "Test that .m and .mm files without a guard raise an error.", "name": "testBadImplementationFiles", ...

3

stack_v2_sparse_classes_30k_train_018721

Implement the Python class `CheckARCCompilationGuardTest` described below. Class description: Test the _CheckARCCompilationGuard presubmit check. Method signatures and docstrings: - def testGoodImplementationFiles(self): Test that .m and .mm files with a guard don't raise any errors. - def testBadImplementationFiles(...

4896f732fc747dfdcfcbac3d442f2d2d42df264a

<|skeleton|> class CheckARCCompilationGuardTest: """Test the _CheckARCCompilationGuard presubmit check.""" def testGoodImplementationFiles(self): """Test that .m and .mm files with a guard don't raise any errors.""" <|body_0|> def testBadImplementationFiles(self): """Test that .m a...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CheckARCCompilationGuardTest: """Test the _CheckARCCompilationGuard presubmit check.""" def testGoodImplementationFiles(self): """Test that .m and .mm files with a guard don't raise any errors.""" lines = ['foobar'] + PRESUBMIT.ARC_COMPILE_GUARD mock_input = PRESUBMIT_test_mocks.M...

the_stack_v2_python_sparse

ios/PRESUBMIT_test.py

Samsung/Castanets

train

58

6702ed69e8b8b657f69824e879d632a9ef624975

[ "super(RandomWander, self).__init__()\nself.iteration = 0\nself.rate = rate\nself.speed = 0\nself.heading = 0", "if self.iteration > self.rate:\n self.iteration = 0\n heading = random.random() * 180 - 90\n self.speed = 0.1\n if heading >= 0:\n self.heading = heading\n else:\n self.hea...

Simple behavior tht wanders, turning with some randomness each time.

RandomWander

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032073

8,374

no_license

[ { "docstring": "Sets up the behavior with all rates set to zero.", "name": "__init__", "signature": "def __init__(self, rate)" }, { "docstring": "wanders with a random heading.", "name": "update", "signature": "def update(self)" } ]

2

stack_v2_sparse_classes_30k_train_021372

Implement the Python class `RandomWander` described below. Class description: Simple behavior tht wanders, turning with some randomness each time. Method signatures and docstrings: - def __init__(self, rate): Sets up the behavior with all rates set to zero. - def update(self): wanders with a random heading.

Implement the Python class `RandomWander` described below. Class description: Simple behavior tht wanders, turning with some randomness each time. Method signatures and docstrings: - def __init__(self, rate): Sets up the behavior with all rates set to zero. - def update(self): wanders with a random heading. <|skelet...

97bb378a325b1639110de06b88d6e237dffc7330

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RandomWander: """Simple behavior tht wanders, turning with some randomness each time.""" def __init__(self, rate): """Sets up the behavior with all rates set to zero.""" super(RandomWander, self).__init__() self.iteration = 0 self.rate = rate self.speed = 0 ...

the_stack_v2_python_sparse

src/match_seeker/scripts/FieldBehaviors.py

FoxRobotLab/catkin_ws

train

6

139edbe4662078df21da12c4e36fcb3b931a5e5d

[ "data = {}\ntry:\n data = DBPocsuiteVul.get_detail_by_id(vul_id)\n if data:\n data['vid'] = str(data['_id'])\n del data['_id']\n data['date'] = timestamp_to_str(data['date'])\n return Response.success(data=data)\n else:\n return Response.failed(message=\"can't find the vu...

<|body_start_0|> data = {} try: data = DBPocsuiteVul.get_detail_by_id(vul_id) if data: data['vid'] = str(data['_id']) del data['_id'] data['date'] = timestamp_to_str(data['date']) return Response.success(data=data) ...

PocsuiteResultManageV1

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032074

14,120

permissive

[ { "docstring": "GET /api/v1/scanner/poc/vul/<vul_id> :return: all plugin [list]", "name": "get", "signature": "def get(self, vul_id)" }, { "docstring": "通过 id 删除漏洞 DELETE /api/v1/scanner/poc/vul/<vul_id> :param vul_id: :return:", "name": "delete", "signature": "def delete(self, vul_id)" ...

2

stack_v2_sparse_classes_30k_train_012953

Implement the Python class `PocsuiteResultManageV1` described below. Class description: Implement the PocsuiteResultManageV1 class. Method signatures and docstrings: - def get(self, vul_id): GET /api/v1/scanner/poc/vul/<vul_id> :return: all plugin [list] - def delete(self, vul_id): 通过 id 删除漏洞 DELETE /api/v1/scanner/p...

fadb1136b8896fe2a0f7783627bda867d5e6fd98

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PocsuiteResultManageV1: def get(self, vul_id): """GET /api/v1/scanner/poc/vul/<vul_id> :return: all plugin [list]""" data = {} try: data = DBPocsuiteVul.get_detail_by_id(vul_id) if data: data['vid'] = str(data['_id']) del data['_i...

the_stack_v2_python_sparse

fuxi/web/api/scanner/poc_scanner.py

Solotov/fuxi

train

0

8a97bdd90bb2e3a133eb28ce455dedc3427aba5c

[ "self.filters = hyper_parameters['model'].get('filters', [2, 3, 4])\nself.num_rnn_layers = hyper_parameters['model'].get('num_rnn_layers', 1)\nself.rnn_type = hyper_parameters['model'].get('rnn_type', 'LSTM')\nself.rnn_units = hyper_parameters['model'].get('rnn_units', 256)\nsuper().__init__(hyper_parameters)", "...

<|body_start_0|> self.filters = hyper_parameters['model'].get('filters', [2, 3, 4]) self.num_rnn_layers = hyper_parameters['model'].get('num_rnn_layers', 1) self.rnn_type = hyper_parameters['model'].get('rnn_type', 'LSTM') self.rnn_units = hyper_parameters['model'].get('rnn_units', 256) ...

BiLSTMGraph

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032075

2,700

permissive

[ { "docstring": "初始化 :param hyper_parameters: json，超参", "name": "__init__", "signature": "def __init__(self, hyper_parameters)" }, { "docstring": "构建神经网络 :param hyper_parameters:json, hyper parameters of network :return: tensor, moedl", "name": "create_model", "signature": "def create_mod...

2

stack_v2_sparse_classes_30k_train_015986

Implement the Python class `BiLSTMGraph` described below. Class description: Implement the BiLSTMGraph class. Method signatures and docstrings: - def __init__(self, hyper_parameters): 初始化 :param hyper_parameters: json，超参 - def create_model(self, hyper_parameters): 构建神经网络 :param hyper_parameters:json, hyper parameters...

1d7b8f9938cb8b6d7744e9caabc3eb41c8891283

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BiLSTMGraph: def __init__(self, hyper_parameters): """初始化 :param hyper_parameters: json，超参""" self.filters = hyper_parameters['model'].get('filters', [2, 3, 4]) self.num_rnn_layers = hyper_parameters['model'].get('num_rnn_layers', 1) self.rnn_type = hyper_parameters['model'].ge...

the_stack_v2_python_sparse

macropodus/network/graph/bilstm.py

a627414850/Macropodus

train

0

65e82a4377f6d922df70c04dd68d7c68afef2c80

[ "keyList = list(self.cache_data)[0:]\nif key and item:\n if key in keyList:\n self.cache_data.update({key: item})\n self.__LFUDict.update({key: self.__bit})\n self.__bit += 1\n elif len(self.cache_data) < self.MAX_ITEMS:\n self.__LFUDict.update({key: self.__bit})\n self.__bi...

<|body_start_0|> keyList = list(self.cache_data)[0:] if key and item: if key in keyList: self.cache_data.update({key: item}) self.__LFUDict.update({key: self.__bit}) self.__bit += 1 elif len(self.cache_data) < self.MAX_ITEMS: ...

LFU Caching algorithm

LFUCache

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LFUCache: """LFU Caching algorithm""" def put(self, key, item): """Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key""" <|body_0|> def get(self, key): """Return...

stack_v2_sparse_classes_36k_train_032076

2,258

no_license

[ { "docstring": "Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key", "name": "put", "signature": "def put(self, key, item)" }, { "docstring": "Returns the value of self.cache_data of given key P...

3

stack_v2_sparse_classes_30k_train_006491

Implement the Python class `LFUCache` described below. Class description: LFU Caching algorithm Method signatures and docstrings: - def put(self, key, item): Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key - def g...

03a8272d98af1975b7c476398a5cd95610ea2c1f

<|skeleton|> class LFUCache: """LFU Caching algorithm""" def put(self, key, item): """Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key""" <|body_0|> def get(self, key): """Return...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LFUCache: """LFU Caching algorithm""" def put(self, key, item): """Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key""" keyList = list(self.cache_data)[0:] if key and item: ...

the_stack_v2_python_sparse

0x03-caching/100-lfu_cache.py

veeteeran/holbertonschool-web_back_end

train

0

2362728ec7b09bf6ea191d763ee72257f6423bd5

[ "super().__init__()\nif seq is None:\n seq = []\nfor el in seq:\n self.count(el)", "self[item] = self.get(item, 0) + f\nif self[item] == 0:\n del self[item]" ]

A map from each item to its frequency.

Hist

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032077

5,544

no_license

[ { "docstring": "Creates a new histogram starting with the items in sequence.", "name": "__init__", "signature": "def __init__(self, seq=None)" }, { "docstring": "Increments the counter associated with item.", "name": "count", "signature": "def count(self, item, f=1)" } ]

2

null

Implement the Python class `Hist` described below. Class description: A map from each item to its frequency. Method signatures and docstrings: - def __init__(self, seq=None): Creates a new histogram starting with the items in sequence. - def count(self, item, f=1): Increments the counter associated with item.

Implement the Python class `Hist` described below. Class description: A map from each item to its frequency. Method signatures and docstrings: - def __init__(self, seq=None): Creates a new histogram starting with the items in sequence. - def count(self, item, f=1): Increments the counter associated with item. <|skel...

490333f19b463973c05abc734ac3e9dc4e6d019a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Hist: """A map from each item to its frequency.""" def __init__(self, seq=None): """Creates a new histogram starting with the items in sequence.""" super().__init__() if seq is None: seq = [] for el in seq: self.count(el) def count(self, item, ...

the_stack_v2_python_sparse

18-inheritance/ex_18_12_3.py

akshirapov/think-python

train

0

234dc89a9e2732adbe4d8fbcc10f15c6aa207528

[ "if id is not None:\n self.id = id\nelse:\n Base.__nb_objects += 1\n self.id = Base.__nb_objects", "if list_dictionaries is not None and list_dictionaries:\n return json.dumps(list_dictionaries)\nreturn '[]'", "a_list = []\nfilename = cls.__name__ + '.json'\nwith open(filename, 'w') as a_file:\n ...

class base

Base

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032078

2,135

no_license

[ { "docstring": "init method", "name": "__init__", "signature": "def __init__(self, id=None)" }, { "docstring": "to_json_string static method", "name": "to_json_string", "signature": "def to_json_string(list_dictionaries)" }, { "docstring": "save_to_file class method", "name":...

6

stack_v2_sparse_classes_30k_train_015758

Implement the Python class `Base` described below. Class description: class base Method signatures and docstrings: - def __init__(self, id=None): init method - def to_json_string(list_dictionaries): to_json_string static method - def save_to_file(cls, list_objs): save_to_file class method - def from_json_string(json_...

9943a8bf7a6b8f1d3d8648d76219a05677a1b979

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Base: """class base""" def __init__(self, id=None): """init method""" if id is not None: self.id = id else: Base.__nb_objects += 1 self.id = Base.__nb_objects def to_json_string(list_dictionaries): """to_json_string static method"""...

the_stack_v2_python_sparse

0x0C-python-almost_a_circle/models/base.py

jhonatang1988/holbertonschool-higher_level_programming

train

0

7bbe6ff85c57ff3dda3a1eb95e2eab12c735ee1b

[ "json_data = open(BASE_DIR + '/../config/keyArel.json')\nif json_data:\n data = json.load(json_data)\n key = data['key']\n app = data['app']\n data = {'grant_type': 'password', 'username': user, 'password': pwd, 'scope': 'read', 'format': 'json'}\n http_response = requests.post('https://arel.eisti.fr...

<|body_start_0|> json_data = open(BASE_DIR + '/../config/keyArel.json') if json_data: data = json.load(json_data) key = data['key'] app = data['app'] data = {'grant_type': 'password', 'username': user, 'password': pwd, 'scope': 'read', 'format': 'json'} ...

Arel

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Arel: def get_token(self, user, pwd): """recupere un token de l'api d'arel si le user et le mot de passe correspondent""" <|body_0|> def requete_arel(self, url_api, token): """fait une requete sur l'api d'arel et renvoi le résultat en json (le token doit être valide)...

stack_v2_sparse_classes_36k_train_032079

1,755

permissive

[ { "docstring": "recupere un token de l'api d'arel si le user et le mot de passe correspondent", "name": "get_token", "signature": "def get_token(self, user, pwd)" }, { "docstring": "fait une requete sur l'api d'arel et renvoi le résultat en json (le token doit être valide)", "name": "requete...

2

stack_v2_sparse_classes_30k_train_004419

Implement the Python class `Arel` described below. Class description: Implement the Arel class. Method signatures and docstrings: - def get_token(self, user, pwd): recupere un token de l'api d'arel si le user et le mot de passe correspondent - def requete_arel(self, url_api, token): fait une requete sur l'api d'arel ...

753890fe5c57cd5f6ac7754d9042817059b2ee4a

<|skeleton|> class Arel: def get_token(self, user, pwd): """recupere un token de l'api d'arel si le user et le mot de passe correspondent""" <|body_0|> def requete_arel(self, url_api, token): """fait une requete sur l'api d'arel et renvoi le résultat en json (le token doit être valide)...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Arel: def get_token(self, user, pwd): """recupere un token de l'api d'arel si le user et le mot de passe correspondent""" json_data = open(BASE_DIR + '/../config/keyArel.json') if json_data: data = json.load(json_data) key = data['key'] app = data['a...

the_stack_v2_python_sparse

peytalaneApp/functions/arel.py

lpmng/lpmng-peytalane

train

1

e0824c73db8b23c8218c1951193e344ce18110ad

[ "provider = get_provider()\nif provider.PROVIDER_NAME != ONPREM:\n return provider.get_func_region()\nraise ProviderException('no region defined')", "dbg = 'false'\nif settings.SSM_CONFIG is None:\n return dbg\ntry:\n DEBUG_LOG = settings.SSM_CONFIG.get_param('DEBUG_LOG')\n dbg = DEBUG_LOG['val']\n ...

ProviderUtil

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032080

1,288

permissive

[ { "docstring": ":return:", "name": "get_func_region", "signature": "def get_func_region()" }, { "docstring": ":return:", "name": "get_debug_param", "signature": "def get_debug_param()" } ]

2

null

Implement the Python class `ProviderUtil` described below. Class description: Implement the ProviderUtil class. Method signatures and docstrings: - def get_func_region(): :return: - def get_debug_param(): :return:

Implement the Python class `ProviderUtil` described below. Class description: Implement the ProviderUtil class. Method signatures and docstrings: - def get_func_region(): :return: - def get_debug_param(): :return: <|skeleton|> class ProviderUtil: def get_func_region(): """:return:""" <|body_0|> ...

98e057b2f433d97d903589ac75a6c2544174bac8

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ProviderUtil: def get_func_region(): """:return:""" provider = get_provider() if provider.PROVIDER_NAME != ONPREM: return provider.get_func_region() raise ProviderException('no region defined') def get_debug_param(): """:return:""" dbg = 'false'...

the_stack_v2_python_sparse

halo_app/infra/providers/util.py

halo-framework/halo-app

train

0

244766b906d701891cdc67d195314161b61ef65d

[ "try:\n account_obj = super(account_account, self).create(vals)\n is_budget = vals.get('budget', False)\n if is_budget:\n _logger.info('预算科目，准备创建预算状况、产品...')\n self._create_budget_pos(account_obj.id, account_obj.name)\n self._create_product(account_obj.id, account_obj.name, account_obj...

<|body_start_0|> try: account_obj = super(account_account, self).create(vals) is_budget = vals.get('budget', False) if is_budget: _logger.info('预算科目，准备创建预算状况、产品...') self._create_budget_pos(account_obj.id, account_obj.name) self...

功能：科目增加-“是否预算科目”

account_account

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032081

4,242

no_license

[ { "docstring": "功能：如果是“预算科目”则创建“预算状况” :param vals: :return:", "name": "create", "signature": "def create(self, vals)" }, { "docstring": "功能：由“非预算科目”更改为“预算科目时”处理预算状况 :param vals: :return:", "name": "write", "signature": "def write(self, vals)" }, { "docstring": "功能：根据“科目”创建“预算状况” ...

4

stack_v2_sparse_classes_30k_train_004272

Implement the Python class `account_account` described below. Class description: 功能：科目增加-“是否预算科目” Method signatures and docstrings: - def create(self, vals): 功能：如果是“预算科目”则创建“预算状况” :param vals: :return: - def write(self, vals): 功能：由“非预算科目”更改为“预算科目时”处理预算状况 :param vals: :return: - def _create_budget_pos(self, account_id...

5a4fd72991c846d5cb7c5082f6bdfef5b2bca572

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class account_account: """功能：科目增加-“是否预算科目”""" def create(self, vals): """功能：如果是“预算科目”则创建“预算状况” :param vals: :return:""" try: account_obj = super(account_account, self).create(vals) is_budget = vals.get('budget', False) if is_budget: _logger.in...

the_stack_v2_python_sparse

yuancloud/plugin/account_budget_department/models/account_account.py

cash2one/yuancloud

train

0

608ffd1c12cff468953116e852fdeba02ba556a7

[ "self.__logger = State().getLogger('PipeController_Component_Logger')\nself.__logger.info('Starting __init__()', 'PipeConstructor:__init__')\nself.__config = config\nself.__logger.info('Finished __init__()', 'PipeConstructor:__init__')", "self.__logger.info('Starting to constructPipe()', 'PipeConstructor:construc...

<|body_start_0|> self.__logger = State().getLogger('PipeController_Component_Logger') self.__logger.info('Starting __init__()', 'PipeConstructor:__init__') self.__config = config self.__logger.info('Finished __init__()', 'PipeConstructor:__init__') <|end_body_0|> <|body_start_1|> ...

PipeConstructor

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PipeConstructor: def __init__(self, config): """Constructor, initialisiert Membervariablen :param Config : config Die Konfiguration. :example: PipeConstructor(config)""" <|body_0|> def constructPipe(self): """Konstruiert die Pipe für die Klassifizierung und gibt dies...

stack_v2_sparse_classes_36k_train_032082

2,202

no_license

[ { "docstring": "Constructor, initialisiert Membervariablen :param Config : config Die Konfiguration. :example: PipeConstructor(config)", "name": "__init__", "signature": "def __init__(self, config)" }, { "docstring": "Konstruiert die Pipe für die Klassifizierung und gibt diese zurück. :return: s...

2

stack_v2_sparse_classes_30k_val_001178

Implement the Python class `PipeConstructor` described below. Class description: Implement the PipeConstructor class. Method signatures and docstrings: - def __init__(self, config): Constructor, initialisiert Membervariablen :param Config : config Die Konfiguration. :example: PipeConstructor(config) - def constructPi...

3daaa72b193ebfb55894b47b6a752cdc2192bb6b

<|skeleton|> class PipeConstructor: def __init__(self, config): """Constructor, initialisiert Membervariablen :param Config : config Die Konfiguration. :example: PipeConstructor(config)""" <|body_0|> def constructPipe(self): """Konstruiert die Pipe für die Klassifizierung und gibt dies...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PipeConstructor: def __init__(self, config): """Constructor, initialisiert Membervariablen :param Config : config Die Konfiguration. :example: PipeConstructor(config)""" self.__logger = State().getLogger('PipeController_Component_Logger') self.__logger.info('Starting __init__()', 'Pipe...

the_stack_v2_python_sparse

SheetMusicScanner/PipeController_Component/PipeConstructor/PipeConstructor.py

jadeskon/score-scan

train

0

77f52c8f7f6f76c274527de4e90f6eb778743d29

[ "missing = len(nums)\nfor i, num in enumerate(nums):\n missing ^= i ^ num\nreturn missing", "target = len(nums) * (len(nums) + 1) // 2\nactual = sum(nums)\nreturn target - actual", "num_set = set(nums)\nn = len(nums) + 1\nfor number in range(n):\n if number not in num_set:\n return number" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032083

1,527

no_license

[ { "docstring": "位运算", "name": "missing_number", "signature": "def missing_number(nums: List[int]) -> int" }, { "docstring": "数学", "name": "missing_number_v2", "signature": "def missing_number_v2(nums: List[int]) -> int" }, { "docstring": "哈希表", "name": "missing_number_v3", ...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def missing_number(nums: List[int]) -> int: 位运算 - def missing_number_v2(nums: List[int]) -> int: 数学 - def missing_number_v3(nums: List[int]) -> int: 哈希表

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def missing_number(nums: List[int]) -> int: 位运算 - def missing_number_v2(nums: List[int]) -> int: 数学 - def missing_number_v3(nums: List[int]) -> int: 哈希表 <|skeleton|> class Solut...

1d1876620a55ff88af7bc390cf1a4fd4350d8d16

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def missing_number(nums: List[int]) -> int: """位运算""" missing = len(nums) for i, num in enumerate(nums): missing ^= i ^ num return missing def missing_number_v2(nums: List[int]) -> int: """数学""" target = len(nums) * (len(nums) + 1) // ...

the_stack_v2_python_sparse

02-算法思想/位运算/268.缺失数字.py

jh-lau/leetcode_in_python

train

0

18ea306c0443a12d22326fbf220047c147da1d68

[ "ForGetPwdPage(app_page).forget(data['username'])\ntime.sleep(2)\nForGetPwdPage(app_page).forget_success(data['username'], data['new_pwd'], data['new_pwd_second'])\nlogging.info('开始断言')\ntime.sleep(5)\ntry:\n assert 1 == 1\n logging.info('忘记密码成功')\nexcept:\n print('忘记密码失败')\n common.save_screenShot(app_...

<|body_start_0|> ForGetPwdPage(app_page).forget(data['username']) time.sleep(2) ForGetPwdPage(app_page).forget_success(data['username'], data['new_pwd'], data['new_pwd_second']) logging.info('开始断言') time.sleep(5) try: assert 1 == 1 logging.info('忘记...

TestForGetPwd

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032084

2,820

no_license

[ { "docstring": "成功忘记密码", "name": "test_forget_success", "signature": "def test_forget_success(self, data, app_page)" }, { "docstring": "验证码不正确", "name": "test_login_toast", "signature": "def test_login_toast(self, data, app_page)" }, { "docstring": "两次密码不一致", "name": "test_fo...

3

null

Implement the Python class `TestForGetPwd` described below. Class description: Implement the TestForGetPwd class. Method signatures and docstrings: - def test_forget_success(self, data, app_page): 成功忘记密码 - def test_login_toast(self, data, app_page): 验证码不正确 - def test_forget_success(self, data, app_page): 两次密码不一致

Implement the Python class `TestForGetPwd` described below. Class description: Implement the TestForGetPwd class. Method signatures and docstrings: - def test_forget_success(self, data, app_page): 成功忘记密码 - def test_login_toast(self, data, app_page): 验证码不正确 - def test_forget_success(self, data, app_page): 两次密码不一致 <|s...

b262c13e55a6e9eae1d4fa11d50b71814028261c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestForGetPwd: def test_forget_success(self, data, app_page): """成功忘记密码""" ForGetPwdPage(app_page).forget(data['username']) time.sleep(2) ForGetPwdPage(app_page).forget_success(data['username'], data['new_pwd'], data['new_pwd_second']) logging.info('开始断言') time....

the_stack_v2_python_sparse

TestCase/test_app/test_forget_pwd.py

xjx985426946/Test_UI

train

0

56d1e5199e2611796026b814ecf5d94bc34372cf

[ "expected_record_count = (4, 3, 12)\nexpected_error_count = (0, 0, 0)\ntup_record_count, tup_error_count = import_data(DATA_FILE_PATH, DATA_FILE_PRODUCT, DATA_FILE_CUSTOMER, DATA_FILE_RENTAL)\nself.assertTupleEqual(tup_record_count, expected_record_count)\nself.assertTupleEqual(tup_error_count, expected_error_count...

<|body_start_0|> expected_record_count = (4, 3, 12) expected_error_count = (0, 0, 0) tup_record_count, tup_error_count = import_data(DATA_FILE_PATH, DATA_FILE_PRODUCT, DATA_FILE_CUSTOMER, DATA_FILE_RENTAL) self.assertTupleEqual(tup_record_count, expected_record_count) self.assert...

unit test for database.py

TestDatabase

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032085

3,286

no_license

[ { "docstring": "test import_data", "name": "test_import_data", "signature": "def test_import_data(self)" }, { "docstring": "test import_data", "name": "test_import_data_error", "signature": "def test_import_data_error(self)" }, { "docstring": "test show_available_product", "n...

4

stack_v2_sparse_classes_30k_train_016443

Implement the Python class `TestDatabase` described below. Class description: unit test for database.py Method signatures and docstrings: - def test_import_data(self): test import_data - def test_import_data_error(self): test import_data - def test_show_available_product(self): test show_available_product - def test_...

5dac60f39e3909ff05b26721d602ed20f14d6be3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestDatabase: """unit test for database.py""" def test_import_data(self): """test import_data""" expected_record_count = (4, 3, 12) expected_error_count = (0, 0, 0) tup_record_count, tup_error_count = import_data(DATA_FILE_PATH, DATA_FILE_PRODUCT, DATA_FILE_CUSTOMER, DATA_...

the_stack_v2_python_sparse

students/ttlarson/lesson05/assignment/test_database.py

JavaRod/SP_Python220B_2019

train

1

5d00cb4e3ac0b2a37666d5e7d10fc1a38e9570d9

[ "nums = [i for i in range(n)]\nindex = 0\nwhile n > 1:\n index = (index + m - 1) % n\n nums.pop(index)\n n -= 1\nreturn nums[0]", "if n == 1:\n return 0\nreturn (self.lastRemaining2(n - 1, m) + m) % n" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032086

731

no_license

[ { "docstring": ":type n: int :type m: int :rtype: int", "name": "lastRemaining", "signature": "def lastRemaining(self, n, m)" }, { "docstring": ":type n: int :type m: int :rtype: int", "name": "lastRemaining2", "signature": "def lastRemaining2(self, n, m)" } ]

2

stack_v2_sparse_classes_30k_train_013058

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def lastRemaining(self, n, m): :type n: int :type m: int :rtype: int - def lastRemaining2(self, n, m): :type n: int :type m: int :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def lastRemaining(self, n, m): :type n: int :type m: int :rtype: int - def lastRemaining2(self, n, m): :type n: int :type m: int :rtype: int <|skeleton|> class Solution: de...

690b685048c8e89d26047b6bc48b5f9af7d59cbb

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def lastRemaining(self, n, m): """:type n: int :type m: int :rtype: int""" nums = [i for i in range(n)] index = 0 while n > 1: index = (index + m - 1) % n nums.pop(index) n -= 1 return nums[0] def lastRemaining2(self, n...

the_stack_v2_python_sparse

剑指offer题/剑指 Offer 62. 圆圈中最后剩下的数字.py

SimmonsChen/LeetCode

train

0

a0c71bebfec8a4e9c5f85e6dda4a021f3bd32c9f

[ "if start_time is None:\n self.started = time.time()\nelse:\n self.started = start_time", "ended = time.time()\nstarted_wait = datetime.datetime.fromtimestamp(self.started).strftime('%Y-%m-%d %H:%M:%S')\nraised_date = datetime.datetime.fromtimestamp(ended).strftime('%Y-%m-%d %H:%M:%S')\nduration = ended - s...

Holds timeout exception information.

TimeoutExceptionInfo

[ "MIT", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TimeoutExceptionInfo: """Holds timeout exception information.""" def __init__(self, start_time=None): """Mark the time for started waiting.""" <|body_0|> def msg(self): """Return a message to be used by TimeoutException containing timing information.""" <...

stack_v2_sparse_classes_36k_train_032087

14,890

permissive

[ { "docstring": "Mark the time for started waiting.", "name": "__init__", "signature": "def __init__(self, start_time=None)" }, { "docstring": "Return a message to be used by TimeoutException containing timing information.", "name": "msg", "signature": "def msg(self)" } ]

2

stack_v2_sparse_classes_30k_train_002787

Implement the Python class `TimeoutExceptionInfo` described below. Class description: Holds timeout exception information. Method signatures and docstrings: - def __init__(self, start_time=None): Mark the time for started waiting. - def msg(self): Return a message to be used by TimeoutException containing timing info...

69c082d2bf9b9985db77d1d25a3f423ecf016e00

<|skeleton|> class TimeoutExceptionInfo: """Holds timeout exception information.""" def __init__(self, start_time=None): """Mark the time for started waiting.""" <|body_0|> def msg(self): """Return a message to be used by TimeoutException containing timing information.""" <...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TimeoutExceptionInfo: """Holds timeout exception information.""" def __init__(self, start_time=None): """Mark the time for started waiting.""" if start_time is None: self.started = time.time() else: self.started = start_time def msg(self): """R...

the_stack_v2_python_sparse

testplan/common/utils/timing.py

morganstanley/testplan

train

78

c4319a41fcddb935990e9d1f9ce22a888ccae5f0

[ "if isinstance(file_object, io.BufferedReader) or isinstance(file_object, InMemoryUploadedFile) or isinstance(file_object, TemporaryUploadedFile):\n super(Audio, self).__init__(file_object)\n self.obj = file_object\nelse:\n raise TypeError('File object not instance of BufferedReader, InMemoryUploadedFile o...

<|body_start_0|> if isinstance(file_object, io.BufferedReader) or isinstance(file_object, InMemoryUploadedFile) or isinstance(file_object, TemporaryUploadedFile): super(Audio, self).__init__(file_object) self.obj = file_object else: raise TypeError('File object not in...

Class to handle Audio files

Audio

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Audio: """Class to handle Audio files""" def __init__(self, file_object): """Constructor :param file_object: object created using Python's open() :return: None""" <|body_0|> def save(self, filename, custom_bucket=False): """Save an audio file. Saves locally to me...

stack_v2_sparse_classes_36k_train_032088

1,629

no_license

[ { "docstring": "Constructor :param file_object: object created using Python's open() :return: None", "name": "__init__", "signature": "def __init__(self, file_object)" }, { "docstring": "Save an audio file. Saves locally to media or remotely :param filename: name to give to the audio file :param...

2

stack_v2_sparse_classes_30k_train_008603

Implement the Python class `Audio` described below. Class description: Class to handle Audio files Method signatures and docstrings: - def __init__(self, file_object): Constructor :param file_object: object created using Python's open() :return: None - def save(self, filename, custom_bucket=False): Save an audio file...

38a09ce2fe68312338c8cb597a341853901eeaa3

<|skeleton|> class Audio: """Class to handle Audio files""" def __init__(self, file_object): """Constructor :param file_object: object created using Python's open() :return: None""" <|body_0|> def save(self, filename, custom_bucket=False): """Save an audio file. Saves locally to me...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Audio: """Class to handle Audio files""" def __init__(self, file_object): """Constructor :param file_object: object created using Python's open() :return: None""" if isinstance(file_object, io.BufferedReader) or isinstance(file_object, InMemoryUploadedFile) or isinstance(file_object, Temp...

the_stack_v2_python_sparse

apps/podcast/audio.py

AOV-Team/aov-py-backend

train

0

86450e2bc9f0da56b212ebbbfc145b8a78ea74a9

[ "context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')", "context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')" ]

Proto file describing the FeedItemTarget service. Service to manage feed item targets.

FeedItemTargetServiceServicer

[ "Apache-2.0", "LicenseRef-scancode-generic-cla" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FeedItemTargetServiceServicer: """Proto file describing the FeedItemTarget service. Service to manage feed item targets.""" def GetFeedItemTarget(self, request, context): """Returns the requested feed item targets in full detail.""" <|body_0|> def MutateFeedItemTargets(s...

stack_v2_sparse_classes_36k_train_032089

3,507

permissive

[ { "docstring": "Returns the requested feed item targets in full detail.", "name": "GetFeedItemTarget", "signature": "def GetFeedItemTarget(self, request, context)" }, { "docstring": "Creates or removes feed item targets. Operation statuses are returned.", "name": "MutateFeedItemTargets", ...

2

stack_v2_sparse_classes_30k_train_013080

Implement the Python class `FeedItemTargetServiceServicer` described below. Class description: Proto file describing the FeedItemTarget service. Service to manage feed item targets. Method signatures and docstrings: - def GetFeedItemTarget(self, request, context): Returns the requested feed item targets in full detai...

0fc8a7dbf31d9e8e2a4364df93bec5f6b7edd50a

<|skeleton|> class FeedItemTargetServiceServicer: """Proto file describing the FeedItemTarget service. Service to manage feed item targets.""" def GetFeedItemTarget(self, request, context): """Returns the requested feed item targets in full detail.""" <|body_0|> def MutateFeedItemTargets(s...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FeedItemTargetServiceServicer: """Proto file describing the FeedItemTarget service. Service to manage feed item targets.""" def GetFeedItemTarget(self, request, context): """Returns the requested feed item targets in full detail.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) ...

the_stack_v2_python_sparse

google/ads/google_ads/v1/proto/services/feed_item_target_service_pb2_grpc.py

juanmacugat/google-ads-python

train

1

3dbf0ac49449127672d21b514c773321ffae9278

[ "self.host = host\nself.port = port\nself.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\nself.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\nself.sock.bind((self.host, self.port))\nself.messagesList = []\nself.connected = []", "self.sock.listen(5)\nwhile True:\n client, address = self.s...

<|body_start_0|> self.host = host self.port = port self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) self.sock.bind((self.host, self.port)) self.messagesList = [] self.connected = [] <|end...

ChatServer

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032090

2,925

no_license

[ { "docstring": "Initialization for the server", "name": "__init__", "signature": "def __init__(self, host, port)" }, { "docstring": "Loop for accepting clients", "name": "listen", "signature": "def listen(self)" }, { "docstring": "Client thread method", "name": "listenToClien...

4

stack_v2_sparse_classes_30k_train_017961

Implement the Python class `ChatServer` described below. Class description: Implement the ChatServer class. Method signatures and docstrings: - def __init__(self, host, port): Initialization for the server - def listen(self): Loop for accepting clients - def listenToClient(self, client, address): Client thread method...

0249a73062f6bef9e40d0ab792f9cf30eaa363ed

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ChatServer: def __init__(self, host, port): """Initialization for the server""" self.host = host self.port = port self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) self.sock.bind((self.h...

the_stack_v2_python_sparse

Bimester2/Class10/ChatServer.py

aloysiogl/CES-22_solutions

train

0

bb81acffda78761f3b0bd4b107bb361813bf25a4

[ "self._x_range = x_range\nself._y_range = y_range\nself._save_correction = save_correction\nself.k = k\nsuper(FlatEarth, self).__init__(str_description)", "if self._save_correction:\n flat_earth_dict = OrderedDict()\nfor label, data in obj_data.getIterator():\n latlon = obj_data.info(label)['Geolocation']\n...

*** In Development *** Remove flat Earth contribution from interferogram

FlatEarth

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FlatEarth: """*** In Development *** Remove flat Earth contribution from interferogram""" def __init__(self, str_description, x_range=None, y_range=None, k=2, remove_topography=False, save_correction=False): """Initialize Flat Earth item @param str_description: String describing item...

stack_v2_sparse_classes_36k_train_032091

4,754

permissive

[ { "docstring": "Initialize Flat Earth item @param str_description: String describing item @param x_range: x pixel range to process (None for entire range) @param y_range: y pixel range to process (None for entire range) @param k: Number of satellite or aircraft passes used to generate the interferogram (1 or 2)...

2

stack_v2_sparse_classes_30k_train_001615

Implement the Python class `FlatEarth` described below. Class description: *** In Development *** Remove flat Earth contribution from interferogram Method signatures and docstrings: - def __init__(self, str_description, x_range=None, y_range=None, k=2, remove_topography=False, save_correction=False): Initialize Flat ...

4d22e3ef90ef842d6b390074a8b5deedc7658a2b

<|skeleton|> class FlatEarth: """*** In Development *** Remove flat Earth contribution from interferogram""" def __init__(self, str_description, x_range=None, y_range=None, k=2, remove_topography=False, save_correction=False): """Initialize Flat Earth item @param str_description: String describing item...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FlatEarth: """*** In Development *** Remove flat Earth contribution from interferogram""" def __init__(self, str_description, x_range=None, y_range=None, k=2, remove_topography=False, save_correction=False): """Initialize Flat Earth item @param str_description: String describing item @param x_ran...

the_stack_v2_python_sparse

pyinsar/processing/discovery/flat_earth.py

MITeaps/pyinsar

train

11

cce283188614738967871d513ab55c75d177642f

[ "shim_format_util.replace_autoclass_value_with_prefixed_time(bucket_resource, use_gsutil_time_style=True)\nshim_format_util.replace_time_values_with_gsutil_style_strings(bucket_resource)\nshim_format_util.replace_bucket_values_with_present_string(bucket_resource)\nreturn base.get_formatted_string(bucket_resource, _...

<|body_start_0|> shim_format_util.replace_autoclass_value_with_prefixed_time(bucket_resource, use_gsutil_time_style=True) shim_format_util.replace_time_values_with_gsutil_style_strings(bucket_resource) shim_format_util.replace_bucket_values_with_present_string(bucket_resource) return bas...

Format a resource as per gsutil Storage style for ls -L output.

GsutilFullResourceFormatter

[ "Apache-2.0", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GsutilFullResourceFormatter: """Format a resource as per gsutil Storage style for ls -L output.""" def format_bucket(self, bucket_resource): """See super class.""" <|body_0|> def format_object(self, object_resource, show_acl=True, show_version_in_url=False, **kwargs): ...

stack_v2_sparse_classes_36k_train_032092

8,524

permissive

[ { "docstring": "See super class.", "name": "format_bucket", "signature": "def format_bucket(self, bucket_resource)" }, { "docstring": "See super class.", "name": "format_object", "signature": "def format_object(self, object_resource, show_acl=True, show_version_in_url=False, **kwargs)" ...

2

null

Implement the Python class `GsutilFullResourceFormatter` described below. Class description: Format a resource as per gsutil Storage style for ls -L output. Method signatures and docstrings: - def format_bucket(self, bucket_resource): See super class. - def format_object(self, object_resource, show_acl=True, show_ver...

392abf004b16203030e6efd2f0af24db7c8d669e

<|skeleton|> class GsutilFullResourceFormatter: """Format a resource as per gsutil Storage style for ls -L output.""" def format_bucket(self, bucket_resource): """See super class.""" <|body_0|> def format_object(self, object_resource, show_acl=True, show_version_in_url=False, **kwargs): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GsutilFullResourceFormatter: """Format a resource as per gsutil Storage style for ls -L output.""" def format_bucket(self, bucket_resource): """See super class.""" shim_format_util.replace_autoclass_value_with_prefixed_time(bucket_resource, use_gsutil_time_style=True) shim_format_...

the_stack_v2_python_sparse

lib/googlecloudsdk/command_lib/storage/resources/gsutil_full_resource_formatter.py

google-cloud-sdk-unofficial/google-cloud-sdk

train

9

69ec0e59d8dcbe48569a36647d1bf781e9181daf

[ "model = self._meta.verbose_name.title()\ntitle = self.title or str(_('Empty title'))\nreturn f'{model:s}: {title:s}'", "if self.__class__.objects.filter(master__draft_course_run__translations__pk=self.pk, language_code=self.language_code).exclude(title=self.title).exists():\n self.master.direct_course.extende...

<|body_start_0|> model = self._meta.verbose_name.title() title = self.title or str(_('Empty title')) return f'{model:s}: {title:s}' <|end_body_0|> <|body_start_1|> if self.__class__.objects.filter(master__draft_course_run__translations__pk=self.pk, language_code=self.language_code).excl...

CourseRun Translation model. Django parler model linked to the CourseRun to internationalize the fields.

CourseRunTranslation

[ "MIT", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CourseRunTranslation: """CourseRun Translation model. Django parler model linked to the CourseRun to internationalize the fields.""" def __str__(self): """Human representation of a course run translation.""" <|body_0|> def save(self, *args, **kwargs): """Mark rel...

stack_v2_sparse_classes_36k_train_032093

42,905

permissive

[ { "docstring": "Human representation of a course run translation.", "name": "__str__", "signature": "def __str__(self)" }, { "docstring": "Mark related course page dirty if the title has changed compared to the public version.", "name": "save", "signature": "def save(self, *args, **kwarg...

2

stack_v2_sparse_classes_30k_train_018724

Implement the Python class `CourseRunTranslation` described below. Class description: CourseRun Translation model. Django parler model linked to the CourseRun to internationalize the fields. Method signatures and docstrings: - def __str__(self): Human representation of a course run translation. - def save(self, *args...

f2d46fc46b271eb3b4d565039a29c15ba15f027c

<|skeleton|> class CourseRunTranslation: """CourseRun Translation model. Django parler model linked to the CourseRun to internationalize the fields.""" def __str__(self): """Human representation of a course run translation.""" <|body_0|> def save(self, *args, **kwargs): """Mark rel...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CourseRunTranslation: """CourseRun Translation model. Django parler model linked to the CourseRun to internationalize the fields.""" def __str__(self): """Human representation of a course run translation.""" model = self._meta.verbose_name.title() title = self.title or str(_('Empt...

the_stack_v2_python_sparse

src/richie/apps/courses/models/course.py

openfun/richie

train

238

17cee83e3e5a809cb048f95ed247a4eb32cc94b1

[ "self.config_ = pConfig\nself.convBuilder_ = pConvBuilder\nself.protein_ = pProtein\nprint('')\nprint('##################### ProtEncoder #####################')\nprint('')\nconvRadii = parse_elem_list(self.config_['enc.radii'], float)\nnumBasis = int(self.config_['enc.numbasis'])\nfeatureList = parse_elem_list(self...

<|body_start_0|> self.config_ = pConfig self.convBuilder_ = pConvBuilder self.protein_ = pProtein print('') print('##################### ProtEncoder #####################') print('') convRadii = parse_elem_list(self.config_['enc.radii'], float) numBasis = ...

Encoder. Attributes: config_ (dictionary): Dictionary with the configuration parameters. convBuilder_ (MolConvBuilder): Convolution builder. protein_ (Protein): Protein. outLayers_ (list of tensors): Output of each level of the encoder. latentCode_ (float tensor bxf): Latent code for each model of the batch. numConvs_ ...

ProtEncoder

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProtEncoder: """Encoder. Attributes: config_ (dictionary): Dictionary with the configuration parameters. convBuilder_ (MolConvBuilder): Convolution builder. protein_ (Protein): Protein. outLayers_ (list of tensors): Output of each level of the encoder. latentCode_ (float tensor bxf): Latent code ...

stack_v2_sparse_classes_36k_train_032094

6,956

permissive

[ { "docstring": "Constructor. Args: pConfig (dictionary): Dictionary containing the parameters needed to create the network in string format. pConvBuilder (MolConvBuilder): Convolution builder. pProtein (Protein): Protein. pInFeatures (float tensor nxf): Input features. pBNAFDO (BNAFDO): BNAFDO object.", "na...

2

stack_v2_sparse_classes_30k_train_015592

Implement the Python class `ProtEncoder` described below. Class description: Encoder. Attributes: config_ (dictionary): Dictionary with the configuration parameters. convBuilder_ (MolConvBuilder): Convolution builder. protein_ (Protein): Protein. outLayers_ (list of tensors): Output of each level of the encoder. laten...

9c79ea000c20088fa48234f1868e42883a9b5a21

<|skeleton|> class ProtEncoder: """Encoder. Attributes: config_ (dictionary): Dictionary with the configuration parameters. convBuilder_ (MolConvBuilder): Convolution builder. protein_ (Protein): Protein. outLayers_ (list of tensors): Output of each level of the encoder. latentCode_ (float tensor bxf): Latent code ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ProtEncoder: """Encoder. Attributes: config_ (dictionary): Dictionary with the configuration parameters. convBuilder_ (MolConvBuilder): Convolution builder. protein_ (Protein): Protein. outLayers_ (list of tensors): Output of each level of the encoder. latentCode_ (float tensor bxf): Latent code for each mode...

the_stack_v2_python_sparse

IEProtLib/models/mol/ProtEncoder.py

sailfish009/IEConv_proteins

train

0

85cf03543052069c7936fb1466192326a33c8f90

[ "self.errors = JsonBackend(fname='errors', initialize=False)\nself._cork = cork_obj\nassert error_name in self.errors, 'Unknown error'\nself.error_name = error_name\nerror = self._cork.errors[error_name]\nself.time = error['time']\nself.counted = error['counted']\nif session is not None:\n try:\n self.ses...

<|body_start_0|> self.errors = JsonBackend(fname='errors', initialize=False) self._cork = cork_obj assert error_name in self.errors, 'Unknown error' self.error_name = error_name error = self._cork.errors[error_name] self.time = error['time'] self.counted = error['...

Errors

[ "X11-distribute-modifications-variant" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Errors: def __init__(self, error_name, cork_obj, session=None): """Represent an authenticated user, exposing useful attributes: email_addr, role, level, description, email_addr, session_creation_time, session_accessed_time, session_id. The session-related attributes are available for the...

stack_v2_sparse_classes_36k_train_032095

6,513

permissive

[ { "docstring": "Represent an authenticated user, exposing useful attributes: email_addr, role, level, description, email_addr, session_creation_time, session_accessed_time, session_id. The session-related attributes are available for the current user only. :param email_addr: email_addr :type email_addr: str. :p...

3

stack_v2_sparse_classes_30k_train_002704

Implement the Python class `Errors` described below. Class description: Implement the Errors class. Method signatures and docstrings: - def __init__(self, error_name, cork_obj, session=None): Represent an authenticated user, exposing useful attributes: email_addr, role, level, description, email_addr, session_creatio...

4559b9053a5af83b0bf6d267bb65cbd2faa3b7d3

<|skeleton|> class Errors: def __init__(self, error_name, cork_obj, session=None): """Represent an authenticated user, exposing useful attributes: email_addr, role, level, description, email_addr, session_creation_time, session_accessed_time, session_id. The session-related attributes are available for the...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Errors: def __init__(self, error_name, cork_obj, session=None): """Represent an authenticated user, exposing useful attributes: email_addr, role, level, description, email_addr, session_creation_time, session_accessed_time, session_id. The session-related attributes are available for the current user ...

the_stack_v2_python_sparse

munin/json_backend.py

namndev/python-munin

train

1

1af32c233fa1289e2541dbf6607a6f358cef0859

[ "try:\n spare = self.get_object(Spare, spare_id)\n if not spare:\n return self.object_not_found(request)\n serializer = serializers.SpareSerializer(spare)\n return Utils.dispatch_success(request, serializer.data)\nexcept Exception as e:\n return self.internal_server_error(request, e)", "try:...

<|body_start_0|> try: spare = self.get_object(Spare, spare_id) if not spare: return self.object_not_found(request) serializer = serializers.SpareSerializer(spare) return Utils.dispatch_success(request, serializer.data) except Exception as e...

particular spare details

SpareDetails

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SpareDetails: """particular spare details""" def get(self, request, spare_id): """Return requested spare :param request: :param spare_id: :return:""" <|body_0|> def put(self, request, spare_id): """Updates the requested spare :param request: # partial fields are ...

stack_v2_sparse_classes_36k_train_032096

23,745

permissive

[ { "docstring": "Return requested spare :param request: :param spare_id: :return:", "name": "get", "signature": "def get(self, request, spare_id)" }, { "docstring": "Updates the requested spare :param request: # partial fields are also acceptable { \"spare_name\": \"SIde Mirror\", \"spare_id\": #...

3

stack_v2_sparse_classes_30k_train_011015

Implement the Python class `SpareDetails` described below. Class description: particular spare details Method signatures and docstrings: - def get(self, request, spare_id): Return requested spare :param request: :param spare_id: :return: - def put(self, request, spare_id): Updates the requested spare :param request: ...

1e31affddf60d2de72445a85dd2055bdeba6f670

<|skeleton|> class SpareDetails: """particular spare details""" def get(self, request, spare_id): """Return requested spare :param request: :param spare_id: :return:""" <|body_0|> def put(self, request, spare_id): """Updates the requested spare :param request: # partial fields are ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SpareDetails: """particular spare details""" def get(self, request, spare_id): """Return requested spare :param request: :param spare_id: :return:""" try: spare = self.get_object(Spare, spare_id) if not spare: return self.object_not_found(request) ...

the_stack_v2_python_sparse

the_mechanic_backend/v0/stock/views.py

muthukumar4999/the-mechanic-backend

train

0

0981f7037fda1f107f407df3c68ffd7d8b6fa4a8

[ "self.cacheMap = {}\nself.keyList = []\nself.maxLen = capacity", "value = self.cacheMap.get(key)\nif value != None and self.keyList[0] != key:\n index = self.keyList.index(key)\n self.keyList.pop(index)\n self.keyList.insert(0, key)\nvalue = value if value != None else -1\nreturn value", "if self.cache...

<|body_start_0|> self.cacheMap = {} self.keyList = [] self.maxLen = capacity <|end_body_0|> <|body_start_1|> value = self.cacheMap.get(key) if value != None and self.keyList[0] != key: index = self.keyList.index(key) self.keyList.pop(index) se...

LRUCache

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_032097

1,193

no_license

[ { "docstring": ":type capacity: int", "name": "__init__", "signature": "def __init__(self, capacity)" }, { "docstring": ":type key: int :rtype: int", "name": "get", "signature": "def get(self, key)" }, { "docstring": ":type key: int :type value: int :rtype: None", "name": "pu...

3

stack_v2_sparse_classes_30k_train_004331

Implement the Python class `LRUCache` described below. Class description: Implement the LRUCache class. Method signatures and docstrings: - def __init__(self, capacity): :type capacity: int - def get(self, key): :type key: int :rtype: int - def put(self, key, value): :type key: int :type value: int :rtype: None

Implement the Python class `LRUCache` described below. Class description: Implement the LRUCache class. Method signatures and docstrings: - def __init__(self, capacity): :type capacity: int - def get(self, key): :type key: int :rtype: int - def put(self, key, value): :type key: int :type value: int :rtype: None <|sk...

b03528bfc954e8c402d66e84b397ec3b065ddb84

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LRUCache: def __init__(self, capacity): """:type capacity: int""" self.cacheMap = {} self.keyList = [] self.maxLen = capacity def get(self, key): """:type key: int :rtype: int""" value = self.cacheMap.get(key) if value != None and self.keyList[0] !=...

the_stack_v2_python_sparse

bytedance/LRU缓存机制/Solution.py

wudc5/LeetCode

train

0

5513b1a465acc12fc9e986102ffd80c109b438d1

[ "super().__init__(*args, **kwargs)\nself.config = {}\nself.config_file = kwargs.get('config_file', 'config.json')\nself.session = aiohttp.ClientSession(loop=self.loop)", "if not filename:\n filename = self.config_file\nwith open(filename) as file_object:\n config = json.load(file_object)\nif isinstance(conf...

<|body_start_0|> super().__init__(*args, **kwargs) self.config = {} self.config_file = kwargs.get('config_file', 'config.json') self.session = aiohttp.ClientSession(loop=self.loop) <|end_body_0|> <|body_start_1|> if not filename: filename = self.config_file w...

A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3.

Bot

[ "MIT", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Bot: """A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3.""" def __init__(self, *args, **kwargs): """In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the confi...

stack_v2_sparse_classes_36k_train_032098

2,231

permissive

[ { "docstring": "In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the configuration file of the bot. Defaults to `config.json`. This doesn't really have to be used, but it's there for convenience reasons. Instance variables not in the constructor: *...

3

stack_v2_sparse_classes_30k_train_004850

Implement the Python class `Bot` described below. Class description: A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3. Method signatures and docstrings: - def __init__(self, *args, **kwargs): In addition to everything supported by commands.Bot, this also su...

9bf3f2125939b66bd1894e509c1b1fa1ab413a6a

<|skeleton|> class Bot: """A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3.""" def __init__(self, *args, **kwargs): """In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the confi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Bot: """A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3.""" def __init__(self, *args, **kwargs): """In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the configuration file...

the_stack_v2_python_sparse

k2/core.py

DasWolke/kitsuchan-2

train

1

c4d3bb0ba74c8a302027dda80c5c671b7c59293b

[ "model = model if isinstance(model, SpaceForDialogIntent) else Model.from_pretrained(model)\nif preprocessor is None:\n preprocessor = DialogIntentPredictionPreprocessor(model.model_dir)\nself.model = model\nsuper().__init__(model=model, preprocessor=preprocessor, **kwargs)\nself.categories = preprocessor.catego...

<|body_start_0|> model = model if isinstance(model, SpaceForDialogIntent) else Model.from_pretrained(model) if preprocessor is None: preprocessor = DialogIntentPredictionPreprocessor(model.model_dir) self.model = model super().__init__(model=model, preprocessor=preprocessor, ...

DialogIntentPredictionPipeline

[ "Apache-2.0", "BSD-3-Clause", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DialogIntentPredictionPipeline: def __init__(self, model: Union[SpaceForDialogIntent, str], preprocessor: DialogIntentPredictionPreprocessor=None, **kwargs): """Use `model` and `preprocessor` to create a dialog intent prediction pipeline Args: model (str or SpaceForDialogIntent): Supply ...

stack_v2_sparse_classes_36k_train_032099

2,215

permissive

[ { "docstring": "Use `model` and `preprocessor` to create a dialog intent prediction pipeline Args: model (str or SpaceForDialogIntent): Supply either a local model dir or a model id from the model hub, or a SpaceForDialogIntent instance. preprocessor (DialogIntentPredictionPreprocessor): An optional preprocesso...

2

stack_v2_sparse_classes_30k_train_012921

Implement the Python class `DialogIntentPredictionPipeline` described below. Class description: Implement the DialogIntentPredictionPipeline class. Method signatures and docstrings: - def __init__(self, model: Union[SpaceForDialogIntent, str], preprocessor: DialogIntentPredictionPreprocessor=None, **kwargs): Use `mod...

8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6

<|skeleton|> class DialogIntentPredictionPipeline: def __init__(self, model: Union[SpaceForDialogIntent, str], preprocessor: DialogIntentPredictionPreprocessor=None, **kwargs): """Use `model` and `preprocessor` to create a dialog intent prediction pipeline Args: model (str or SpaceForDialogIntent): Supply ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DialogIntentPredictionPipeline: def __init__(self, model: Union[SpaceForDialogIntent, str], preprocessor: DialogIntentPredictionPreprocessor=None, **kwargs): """Use `model` and `preprocessor` to create a dialog intent prediction pipeline Args: model (str or SpaceForDialogIntent): Supply either a local...

the_stack_v2_python_sparse

ai/modelscope/modelscope/pipelines/nlp/dialog_intent_prediction_pipeline.py

alldatacenter/alldata

train

774