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

7516c7e8e0caf4cd21414a5115f631fec7b5693f

[ "q = deque([root])\nret = []\nwhile q:\n node = q.popleft()\n if node is None:\n ret.append(None)\n else:\n ret.append(node.val)\n q.extend([node.left, node.right])\nwhile ret and ret[-1] is None:\n ret.pop()\nreturn str(ret)", "data = deque(eval(data))\nif len(data) == 0:\n re...

<|body_start_0|> q = deque([root]) ret = [] while q: node = q.popleft() if node is None: ret.append(None) else: ret.append(node.val) q.extend([node.left, node.right]) while ret and ret[-1] is None: ...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023800

1,700

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

stack_v2_sparse_classes_30k_train_000543

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:...

f5686fc2e1774dd101a3acb1b2a7c017fe2cd9d5

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""" q = deque([root]) ret = [] while q: node = q.popleft() if node is None: ret.append(None) else: ret.app...

the_stack_v2_python_sparse

0297-Serialize_and_Deserialize_Binary_Tree.py

kshen91/LeetCodeSolutions

train

0

8b4a69ec0dfe2de9119db6dab4736a865473aeed

[ "if 'codice' not in self.data:\n return queryset.filter(data_apertura__gte=value)\nelse:\n return queryset", "if 'codice' not in self.data:\n return queryset.filter(data_apertura__lte=value)\nelse:\n return queryset" ]

CommessaFilter

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CommessaFilter: def filtra_da(self, queryset, value): """Applica il filtro sul campo 'data_apertura' solo se il filtro 'codice' non è valorizzato.""" <|body_0|> def filtra_a(self, queryset, value): """Applica il filtro sul campo 'data_apertura' solo se il filtro 'cod...

stack_v2_sparse_classes_36k_train_023801

10,203

no_license

[ { "docstring": "Applica il filtro sul campo 'data_apertura' solo se il filtro 'codice' non è valorizzato.", "name": "filtra_da", "signature": "def filtra_da(self, queryset, value)" }, { "docstring": "Applica il filtro sul campo 'data_apertura' solo se il filtro 'codice' non è valorizzato.", ...

2

null

Implement the Python class `CommessaFilter` described below. Class description: Implement the CommessaFilter class. Method signatures and docstrings: - def filtra_da(self, queryset, value): Applica il filtro sul campo 'data_apertura' solo se il filtro 'codice' non è valorizzato. - def filtra_a(self, queryset, value):...

07a97e6136637830ca99ae0bb06d944755eab87c

<|skeleton|> class CommessaFilter: def filtra_da(self, queryset, value): """Applica il filtro sul campo 'data_apertura' solo se il filtro 'codice' non è valorizzato.""" <|body_0|> def filtra_a(self, queryset, value): """Applica il filtro sul campo 'data_apertura' solo se il filtro 'cod...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CommessaFilter: def filtra_da(self, queryset, value): """Applica il filtro sul campo 'data_apertura' solo se il filtro 'codice' non è valorizzato.""" if 'codice' not in self.data: return queryset.filter(data_apertura__gte=value) else: return queryset def fi...

the_stack_v2_python_sparse

anagrafiche/api/apiFilters.py

ghiblin/wms2

train

0

653d0e56877183e3b3e47cb2230dc65a5d0e150e

[ "scrolled.ScrolledPanel.__init__(self, parent, -1, size=(100, 500))\nself.visualizer = visualizer\nself.mode = mode\nself.sizer = wx.GridBagSizer()\nself.projectionBox = wx.RadioBox(self, -1, 'View projection', choices=['Max. IP', 'Avg. IP'], majorDimension=1, style=wx.RA_SPECIFY_COLS)\nself.updateButton = wx.Butto...

<|body_start_0|> scrolled.ScrolledPanel.__init__(self, parent, -1, size=(100, 500)) self.visualizer = visualizer self.mode = mode self.sizer = wx.GridBagSizer() self.projectionBox = wx.RadioBox(self, -1, 'View projection', choices=['Max. IP', 'Avg. IP'], majorDimension=1, style=w...

A configuration panel for the projection view

SimpleConfigurationPanel

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023802

6,623

no_license

[ { "docstring": "Initialization", "name": "__init__", "signature": "def __init__(self, parent, visualizer, mode, **kws)" }, { "docstring": "Configure what projection to show", "name": "onSetProjectionMode", "signature": "def onSetProjectionMode(self, event)" } ]

2

stack_v2_sparse_classes_30k_train_003611

Implement the Python class `SimpleConfigurationPanel` described below. Class description: A configuration panel for the projection view Method signatures and docstrings: - def __init__(self, parent, visualizer, mode, **kws): Initialization - def onSetProjectionMode(self, event): Configure what projection to show

Implement the Python class `SimpleConfigurationPanel` described below. Class description: A configuration panel for the projection view Method signatures and docstrings: - def __init__(self, parent, visualizer, mode, **kws): Initialization - def onSetProjectionMode(self, event): Configure what projection to show <|s...

ea8bafa073de5090bd8f83fb4f5ca16669d0211f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SimpleConfigurationPanel: """A configuration panel for the projection view""" def __init__(self, parent, visualizer, mode, **kws): """Initialization""" scrolled.ScrolledPanel.__init__(self, parent, -1, size=(100, 500)) self.visualizer = visualizer self.mode = mode ...

the_stack_v2_python_sparse

Graphs/LX-2/molecule_otsu = False/BioImageXD-1.0/Modules/Visualization/Simple.py

giacomo21/Image-analysis

train

1

95f93e26d599f39ee32c4eff286b4b4841b64b3f

[ "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!')", "conte...

data transfer service

DataTransferServiceServicer

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DataTransferServiceServicer: """data transfer service""" def push(self, request_iterator, context): """Missing associated documentation comment in .proto file.""" <|body_0|> def pull(self, request, context): """Missing associated documentation comment in .proto f...

stack_v2_sparse_classes_36k_train_023803

9,317

permissive

[ { "docstring": "Missing associated documentation comment in .proto file.", "name": "push", "signature": "def push(self, request_iterator, context)" }, { "docstring": "Missing associated documentation comment in .proto file.", "name": "pull", "signature": "def pull(self, request, context)...

4

null

Implement the Python class `DataTransferServiceServicer` described below. Class description: data transfer service Method signatures and docstrings: - def push(self, request_iterator, context): Missing associated documentation comment in .proto file. - def pull(self, request, context): Missing associated documentatio...

8767db5ec0cb93784f64b290bc39b7b545c530fb

<|skeleton|> class DataTransferServiceServicer: """data transfer service""" def push(self, request_iterator, context): """Missing associated documentation comment in .proto file.""" <|body_0|> def pull(self, request, context): """Missing associated documentation comment in .proto f...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DataTransferServiceServicer: """data transfer service""" def push(self, request_iterator, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplem...

the_stack_v2_python_sparse

python/fate_arch/protobuf/python/proxy_pb2_grpc.py

FederatedAI/FATE

train

4,942

4ba45abfc04df51a33511a440850ae2216912ae5

[ "super().__init__()\nif __debug__:\n logger.info('Initializing DS Client on %s:%s', master_ip, master_port)\nself.master_ip = master_ip\nself.master_port = int(str(master_port))\nself.running = True\nself.requests = None\nself.requests = queue.Queue()", "if __debug__:\n logger.info('DS Client started')\nwhi...

<|body_start_0|> super().__init__() if __debug__: logger.info('Initializing DS Client on %s:%s', master_ip, master_port) self.master_ip = master_ip self.master_port = int(str(master_port)) self.running = True self.requests = None self.requests = queue....

Distro Stream Client definition. Attributes: - master_ip: Master IP address. + type: string - master_port: Master port. + type: int - running: Whether the client thread is running or not + type: boolean - requests: Queue of pending client requests + type: Queue.Queue

DistroStreamClient

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DistroStreamClient: """Distro Stream Client definition. Attributes: - master_ip: Master IP address. + type: string - master_port: Master port. + type: int - running: Whether the client thread is running or not + type: boolean - requests: Queue of pending client requests + type: Queue.Queue""" ...

stack_v2_sparse_classes_36k_train_023804

7,117

permissive

[ { "docstring": "Create a new Client associated to the given master properties. :param master_ip: Master IP address. :param master_port: Master port.", "name": "__init__", "signature": "def __init__(self, master_ip: typing.Optional[str], master_port: typing.Optional[str]) -> None" }, { "docstring...

4

stack_v2_sparse_classes_30k_train_015104

Implement the Python class `DistroStreamClient` described below. Class description: Distro Stream Client definition. Attributes: - master_ip: Master IP address. + type: string - master_port: Master port. + type: int - running: Whether the client thread is running or not + type: boolean - requests: Queue of pending cli...

5f7a31436d0e6f5acbeb66fa36ab8aad18dc4092

<|skeleton|> class DistroStreamClient: """Distro Stream Client definition. Attributes: - master_ip: Master IP address. + type: string - master_port: Master port. + type: int - running: Whether the client thread is running or not + type: boolean - requests: Queue of pending client requests + type: Queue.Queue""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DistroStreamClient: """Distro Stream Client definition. Attributes: - master_ip: Master IP address. + type: string - master_port: Master port. + type: int - running: Whether the client thread is running or not + type: boolean - requests: Queue of pending client requests + type: Queue.Queue""" def __init_...

the_stack_v2_python_sparse

compss/programming_model/bindings/python/src/pycompss/streams/components/distro_stream_client.py

bsc-wdc/compss

train

39

402ecd186a749ac08e36f2967067feb7d659e4a6

[ "self.login.loginFunc()\nself.driver.implicitly_wait(30)\nself.findElement(*self.files1_loc).click()\nself.findElement(*self.shareBtn_loc).click()\nsleep(0.5)\nself.findElement(*self.shareInput_loc).send_keys('userdemo')\nsleep(1)\nself.findElement(*self.shareSelect_loc).click()\nself.driver.implicitly_wait(10)\nsh...

<|body_start_0|> self.login.loginFunc() self.driver.implicitly_wait(30) self.findElement(*self.files1_loc).click() self.findElement(*self.shareBtn_loc).click() sleep(0.5) self.findElement(*self.shareInput_loc).send_keys('userdemo') sleep(1) self.findElemen...

共享功能测试

ShareTest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023805

7,193

no_license

[ { "docstring": "分享文件给用户", "name": "test_01shareuser", "signature": "def test_01shareuser(self)" }, { "docstring": "分享给用户组", "name": "test_02sharegroup", "signature": "def test_02sharegroup(self)" }, { "docstring": "分享文件给部门", "name": "test_03sharedepartment", "signature": ...

6

stack_v2_sparse_classes_30k_train_004826

Implement the Python class `ShareTest` described below. Class description: 共享功能测试 Method signatures and docstrings: - def test_01shareuser(self): 分享文件给用户 - def test_02sharegroup(self): 分享给用户组 - def test_03sharedepartment(self): 分享文件给部门 - def test_04treeshare(self): 树形分享给内部用户 - def test_05sharecancel(self): 取消分享 - def...

e7e6ad0187fb13e798aad230682c46125df26be9

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ShareTest: """共享功能测试""" def test_01shareuser(self): """分享文件给用户""" self.login.loginFunc() self.driver.implicitly_wait(30) self.findElement(*self.files1_loc).click() self.findElement(*self.shareBtn_loc).click() sleep(0.5) self.findElement(*self.shareI...

the_stack_v2_python_sparse

retail/test_case/i_share_sta.py

huenping/Security_WP_retail

train

2

9faa4dd585d4c61be615e7049196ef74e913ccf3

[ "i, j = (0, len(height) - 1)\nmx = 0\nwhile i < j:\n tmp = (j - i) * min(height[i], height[j])\n mx = tmp if tmp > mx else mx\n if height[i] > height[j]:\n j -= 1\n else:\n i += 1\nreturn mx", "i, j = (0, len(height) - 1)\nmx = 0\nwhile i < j:\n tmp = (j - i) * min(height[i], height[j...

<|body_start_0|> i, j = (0, len(height) - 1) mx = 0 while i < j: tmp = (j - i) * min(height[i], height[j]) mx = tmp if tmp > mx else mx if height[i] > height[j]: j -= 1 else: i += 1 return mx <|end_body_0|> ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023806

1,696

no_license

[ { "docstring": ":type height: List[int] :rtype: int", "name": "maxArea", "signature": "def maxArea(self, height)" }, { "docstring": ":type height: List[int] :rtype: int", "name": "maxArea2", "signature": "def maxArea2(self, height)" } ]

2

stack_v2_sparse_classes_30k_train_003344

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxArea(self, height): :type height: List[int] :rtype: int - def maxArea2(self, height): :type height: List[int] :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxArea(self, height): :type height: List[int] :rtype: int - def maxArea2(self, height): :type height: List[int] :rtype: int <|skeleton|> class Solution: def maxArea(se...

166d97f36bbeea74c84ec57466bd0a65b608ed09

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxArea(self, height): """:type height: List[int] :rtype: int""" i, j = (0, len(height) - 1) mx = 0 while i < j: tmp = (j - i) * min(height[i], height[j]) mx = tmp if tmp > mx else mx if height[i] > height[j]: j ...

the_stack_v2_python_sparse

leetcode/container_with_most_water.py

Activity00/Python

train

0

b84118e0c28658f9c39bee3e2e490c3cee9cebd8

[ "tfds_name = 'glue/' + name\ndataset_builder = tfds.builder(tfds_name, try_gcs=try_gcs, data_dir=data_dir)\nsuper().__init__(name=tfds_name, dataset_builder=dataset_builder, split=split, is_training=is_training, shuffle_buffer_size=shuffle_buffer_size, num_parallel_parser_calls=num_parallel_parser_calls, fingerprin...

<|body_start_0|> tfds_name = 'glue/' + name dataset_builder = tfds.builder(tfds_name, try_gcs=try_gcs, data_dir=data_dir) super().__init__(name=tfds_name, dataset_builder=dataset_builder, split=split, is_training=is_training, shuffle_buffer_size=shuffle_buffer_size, num_parallel_parser_calls=num...

GLUE dataset builder abstract class.

_GlueDataset

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _GlueDataset: """GLUE dataset builder abstract class.""" def __init__(self, name: str, split: str, shuffle_buffer_size: Optional[int]=None, num_parallel_parser_calls: int=64, try_gcs: bool=False, download_data: bool=False, data_dir: Optional[str]=None, is_training: Optional[bool]=None): ...

stack_v2_sparse_classes_36k_train_023807

6,152

permissive

[ { "docstring": "Create a GLUE tf.data.Dataset builder. Args: name: the name of this dataset, 'glue/' will be prepended to get the dataset from TFDS. split: a dataset split, either a custom tfds.Split or one of the tfds.Split enums [TRAIN, VALIDAITON, TEST] or their lowercase string names. shuffle_buffer_size: t...

2

null

Implement the Python class `_GlueDataset` described below. Class description: GLUE dataset builder abstract class. Method signatures and docstrings: - def __init__(self, name: str, split: str, shuffle_buffer_size: Optional[int]=None, num_parallel_parser_calls: int=64, try_gcs: bool=False, download_data: bool=False, d...

f5f6f50f82bd441339c9d9efbef3f09e72c5fef6

<|skeleton|> class _GlueDataset: """GLUE dataset builder abstract class.""" def __init__(self, name: str, split: str, shuffle_buffer_size: Optional[int]=None, num_parallel_parser_calls: int=64, try_gcs: bool=False, download_data: bool=False, data_dir: Optional[str]=None, is_training: Optional[bool]=None): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _GlueDataset: """GLUE dataset builder abstract class.""" def __init__(self, name: str, split: str, shuffle_buffer_size: Optional[int]=None, num_parallel_parser_calls: int=64, try_gcs: bool=False, download_data: bool=False, data_dir: Optional[str]=None, is_training: Optional[bool]=None): """Create...

the_stack_v2_python_sparse

uncertainty_baselines/datasets/glue.py

google/uncertainty-baselines

train

1,235

12db096aedf15b066c5ec0ae75a80ee760694486

[ "dummy = ListNode(0)\ndummy.next = head\ncurr = head\nposition = 0\nwhile curr:\n position += 1\n curr = curr.next\nposition -= n\ncurr = dummy\nwhile position > 0:\n position -= 1\n curr = curr.next\ncurr.next = curr.next.next\nreturn dummy.next", "dummy = ListNode(0)\ndummy.next = head\nfirst = dumm...

<|body_start_0|> dummy = ListNode(0) dummy.next = head curr = head position = 0 while curr: position += 1 curr = curr.next position -= n curr = dummy while position > 0: position -= 1 curr = curr.next ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023808

1,243

no_license

[ { "docstring": "Two pass solution", "name": "removeNthFromEnd", "signature": "def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode" }, { "docstring": "One pass solution, maintaining an (n + 1) gap b/w two pointers", "name": "removeNthFromEnd", "signature": "def removeNthFromEnd...

2

stack_v2_sparse_classes_30k_train_018915

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode: Two pass solution - def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode: One pass solution, maintaining...

f33d004d7629d46fbc5670f5b384f8a604d7f1e7

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode: """Two pass solution""" dummy = ListNode(0) dummy.next = head curr = head position = 0 while curr: position += 1 curr = curr.next position -= n curr...

the_stack_v2_python_sparse

Remove Nth Node From End of List.py

aulee888/LeetCode

train

0

ee0ab1ed4fbee5cbaad6498406550bd1cafa0d43

[ "token = get_token(['/api/movie'])\nurl = 'https://dynamic6.scrape.cuiqingcai.com/api/movie/?limit=10&offset=0&token={}'.format(token)\nyield scrapy.Request(url)", "results = json.loads(response.text)\nif not results:\n return\nres_list = results.get('results')\nfor data in res_list:\n uuid = data.get('id',...

<|body_start_0|> token = get_token(['/api/movie']) url = 'https://dynamic6.scrape.cuiqingcai.com/api/movie/?limit=10&offset=0&token={}'.format(token) yield scrapy.Request(url) <|end_body_0|> <|body_start_1|> results = json.loads(response.text) if not results: return ...

ScrapeMovieSpider

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023809

1,879

permissive

[ { "docstring": "请求列表页", "name": "start_requests", "signature": "def start_requests(self)" }, { "docstring": "列表页解析+列表页翻页", "name": "parse", "signature": "def parse(self, response)" }, { "docstring": "解析详情页", "name": "parse_detail", "signature": "def parse_detail(self, res...

3

stack_v2_sparse_classes_30k_train_010064

Implement the Python class `ScrapeMovieSpider` described below. Class description: Implement the ScrapeMovieSpider class. Method signatures and docstrings: - def start_requests(self): 请求列表页 - def parse(self, response): 列表页解析+列表页翻页 - def parse_detail(self, response): 解析详情页

Implement the Python class `ScrapeMovieSpider` described below. Class description: Implement the ScrapeMovieSpider class. Method signatures and docstrings: - def start_requests(self): 请求列表页 - def parse(self, response): 列表页解析+列表页翻页 - def parse_detail(self, response): 解析详情页 <|skeleton|> class ScrapeMovieSpider: d...

5922e39bee47bf4114ab06670f49e32eb1bc4b1d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ScrapeMovieSpider: def start_requests(self): """请求列表页""" token = get_token(['/api/movie']) url = 'https://dynamic6.scrape.cuiqingcai.com/api/movie/?limit=10&offset=0&token={}'.format(token) yield scrapy.Request(url) def parse(self, response): """列表页解析+列表页翻页""" ...

the_stack_v2_python_sparse

credit_china/spiders/scrape_movie.py

pythonyhd/reverse_spider

train

9

813362b8df0c6241ec1d8bcdce7750e4b2355363

[ "def inorder(root):\n if not root:\n return\n inorder(root.left)\n ans.append(root.val)\n inorder(root.right)\nans = []\ninorder(root)\nreturn ans", "def preorder(root):\n if not root:\n return\n ans.append(root)\n preorder(root.left)\n preorder(root.right)\nans = []\npreorde...

Solution1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023810

1,981

no_license

[ { "docstring": "采用递归方法实现中序遍历 :param root: TreeNode :return: List[int]", "name": "inorderTraversal", "signature": "def inorderTraversal(self, root)" }, { "docstring": "采用递归方法实现先序遍历 :param root: TreeNode :return: List[int]", "name": "preorderTraversal", "signature": "def preorderTraversa...

3

stack_v2_sparse_classes_30k_val_000798

Implement the Python class `Solution1` described below. Class description: Implement the Solution1 class. Method signatures and docstrings: - def inorderTraversal(self, root): 采用递归方法实现中序遍历 :param root: TreeNode :return: List[int] - def preorderTraversal(self, root): 采用递归方法实现先序遍历 :param root: TreeNode :return: List[...

e03b8a324e816fee9c8440552de825be07132170

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution1: def inorderTraversal(self, root): """采用递归方法实现中序遍历 :param root: TreeNode :return: List[int]""" def inorder(root): if not root: return inorder(root.left) ans.append(root.val) inorder(root.right) ans = [] ...

the_stack_v2_python_sparse

Leetcode0094.py

ThompsonHe/LeetCode-Python

train

0

5a426ff2d3bcc34a6ab0dab14b3931f27f543cfe

[ "form = self.form_class(request.POST)\nif form.is_valid():\n form.save()\n return HttpResponseRedirect(self.get_success_url())\nelse:\n return self.form_invalid(form)", "if self.request.META['QUERY_STRING']:\n return '%s?%s' % (reverse('login'), self.request.META['QUERY_STRING'])\nelse:\n return re...

Would help to render the sign up form and create new user.

SignUpPageView

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SignUpPageView: """Would help to render the sign up form and create new user.""" def post(self, request, *args, **kwargs): """Would help to create user.""" <|body_0|> def get_success_url(self): """Would return the success url depending on the whether query url is...

stack_v2_sparse_classes_36k_train_023811

12,613

no_license

[ { "docstring": "Would help to create user.", "name": "post", "signature": "def post(self, request, *args, **kwargs)" }, { "docstring": "Would return the success url depending on the whether query url is available.", "name": "get_success_url", "signature": "def get_success_url(self)" },...

3

stack_v2_sparse_classes_30k_train_005380

Implement the Python class `SignUpPageView` described below. Class description: Would help to render the sign up form and create new user. Method signatures and docstrings: - def post(self, request, *args, **kwargs): Would help to create user. - def get_success_url(self): Would return the success url depending on the...

c8e89f21887e9a260f0f1f8cb57fb5c8539ccce8

<|skeleton|> class SignUpPageView: """Would help to render the sign up form and create new user.""" def post(self, request, *args, **kwargs): """Would help to create user.""" <|body_0|> def get_success_url(self): """Would return the success url depending on the whether query url is...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SignUpPageView: """Would help to render the sign up form and create new user.""" def post(self, request, *args, **kwargs): """Would help to create user.""" form = self.form_class(request.POST) if form.is_valid(): form.save() return HttpResponseRedirect(self...

the_stack_v2_python_sparse

client/views.py

jeezybrick/ad_f_my

train

0

82538a4576d08100583c46aa593b218dbe36934e

[ "proc = _RpcProcessor(resolver, netutils.GetDaemonPort(constants.NODED), lock_monitor_cb=lock_monitor_cb)\nself._proc = compat.partial(proc, _req_process_fn=_req_process_fn)\nself._encoder = compat.partial(self._EncodeArg, encoder_fn)", "argkind, value = arg\nif argkind is None:\n return value\nelse:\n retu...

_RpcClientBase

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023812

33,673

permissive

[ { "docstring": "Initializes this class.", "name": "__init__", "signature": "def __init__(self, resolver, encoder_fn, lock_monitor_cb=None, _req_process_fn=None)" }, { "docstring": "Encode argument.", "name": "_EncodeArg", "signature": "def _EncodeArg(encoder_fn, node, arg)" }, { ...

3

null

Implement the Python class `_RpcClientBase` described below. Class description: Implement the _RpcClientBase class. Method signatures and docstrings: - def __init__(self, resolver, encoder_fn, lock_monitor_cb=None, _req_process_fn=None): Initializes this class. - def _EncodeArg(encoder_fn, node, arg): Encode argument...

456ea285a7583183c2c8e5bcffe9006ec8a9d658

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _RpcClientBase: def __init__(self, resolver, encoder_fn, lock_monitor_cb=None, _req_process_fn=None): """Initializes this class.""" proc = _RpcProcessor(resolver, netutils.GetDaemonPort(constants.NODED), lock_monitor_cb=lock_monitor_cb) self._proc = compat.partial(proc, _req_process_fn...

the_stack_v2_python_sparse

lib/rpc/node.py

ganeti/ganeti

train

465

37a42eb06c40785ad733ae1b6111362f3e46e5ab

[ "assert ConfHelper.loaded\nif method.upper() not in HTTP.METHOD:\n return cls.DUMMY_RESPONSE\nelse:\n args['method'] = method.upper()\n return BaseHelper.forward(cls, url, args, ConfHelper.LBMP_SENDER_CONF.url, HTTP.METHOD.POST)", "assert ConfHelper.loaded\n\ndef _callback(response):\n if isinstance(r...

<|body_start_0|> assert ConfHelper.loaded if method.upper() not in HTTP.METHOD: return cls.DUMMY_RESPONSE else: args['method'] = method.upper() return BaseHelper.forward(cls, url, args, ConfHelper.LBMP_SENDER_CONF.url, HTTP.METHOD.POST) <|end_body_0|> <|body_...

/le: cellid /gv: get location_name /ge: convert longitude and latitude /gv_query: query the POI from LBMP

LbmpSenderHelper

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LbmpSenderHelper: """/le: cellid /gv: get location_name /ge: convert longitude and latitude /gv_query: query the POI from LBMP""" def forward(cls, url, args, method=HTTP.METHOD.POST): """Forward the request in block most (sync mode) to sender. This means I will wait for the response ...

stack_v2_sparse_classes_36k_train_023813

3,365

no_license

[ { "docstring": "Forward the request in block most (sync mode) to sender. This means I will wait for the response from sender, which would block following requests. This should be avoided in uweb.", "name": "forward", "signature": "def forward(cls, url, args, method=HTTP.METHOD.POST)" }, { "docst...

2

null

Implement the Python class `LbmpSenderHelper` described below. Class description: /le: cellid /gv: get location_name /ge: convert longitude and latitude /gv_query: query the POI from LBMP Method signatures and docstrings: - def forward(cls, url, args, method=HTTP.METHOD.POST): Forward the request in block most (sync ...

3b095a325581b1fc48497c234f0ad55e928586a1

<|skeleton|> class LbmpSenderHelper: """/le: cellid /gv: get location_name /ge: convert longitude and latitude /gv_query: query the POI from LBMP""" def forward(cls, url, args, method=HTTP.METHOD.POST): """Forward the request in block most (sync mode) to sender. This means I will wait for the response ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LbmpSenderHelper: """/le: cellid /gv: get location_name /ge: convert longitude and latitude /gv_query: query the POI from LBMP""" def forward(cls, url, args, method=HTTP.METHOD.POST): """Forward the request in block most (sync mode) to sender. This means I will wait for the response from sender, ...

the_stack_v2_python_sparse

libs/helpers/lbmpsenderhelper.py

jcsy521/ydws

train

0

a40e07cf86d5e5e9fcaf2ad6b159c90d02679ccc

[ "buildingCount = len(buildings)\nif buildingCount == 0:\n return []\ncorners = [[L, H, R] for L, R, H in buildings]\ncorners += [[R, None, 0] for L, R, H in buildings]\ncorners.sort()\nskyline = []\nshift = corners[0][0] - 1\nskylineheight = -1\nh = [[0, float('inf')]]\nfor c in corners:\n if c[0] > shift:\n ...

<|body_start_0|> buildingCount = len(buildings) if buildingCount == 0: return [] corners = [[L, H, R] for L, R, H in buildings] corners += [[R, None, 0] for L, R, H in buildings] corners.sort() skyline = [] shift = corners[0][0] - 1 skylineheig...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023814

2,450

no_license

[ { "docstring": ":type buildings: List[List[int]] :rtype: List[List[int]]", "name": "getSkyline", "signature": "def getSkyline(self, buildings)" }, { "docstring": "https://discuss.leetcode.com/topic/34119/10-line-python-solution-104-ms/2 credit : kitt", "name": "_getSkyline", "signature":...

2

stack_v2_sparse_classes_30k_train_002249

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def getSkyline(self, buildings): :type buildings: List[List[int]] :rtype: List[List[int]] - def _getSkyline(self, buildings): https://discuss.leetcode.com/topic/34119/10-line-pyt...

a2841fdb624548fdc6ef430e23ca46f3300e0558

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def getSkyline(self, buildings): """:type buildings: List[List[int]] :rtype: List[List[int]]""" buildingCount = len(buildings) if buildingCount == 0: return [] corners = [[L, H, R] for L, R, H in buildings] corners += [[R, None, 0] for L, R, H in b...

the_stack_v2_python_sparse

getSkyLine.py

sfeng77/myleetcode

train

1

884cb8ed4dff73082c402a2c8a0f5ceafa19c8bf

[ "result = []\n\ndef preOrder(root):\n if not root:\n return None\n result.append(str(root.val))\n preOrder(root.left)\n preOrder(root.right)\npreOrder(root)\nreturn ' '.join(result)", "vals = [int(val) for val in data.split()]\n\ndef build(minVal: int, maxVal: int) -> TreeNode:\n if vals and...

<|body_start_0|> result = [] def preOrder(root): if not root: return None result.append(str(root.val)) preOrder(root.left) preOrder(root.right) preOrder(root) return ' '.join(result) <|end_body_0|> <|body_start_1|> ...

Codec

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023815

1,078

permissive

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

2

null

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

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

8a10b23335d8e9f080e5c39715b38bcc2916ff00

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root: TreeNode) -> str: """Encodes a tree to a single string.""" result = [] def preOrder(root): if not root: return None result.append(str(root.val)) preOrder(root.left) preOrder(root.right) ...

the_stack_v2_python_sparse

Leetcode/449. Serialize and Deserialize BST/solution1.py

hi0t/Outtalent

train

0

3dac367a3362f4812aad0a6a9e6ecacb204e91b7

[ "self.out = output\nself.active = False\nself.bgcolor = bgcolor\nself.bg = {}\nself.hide_cursor = hide_cursor\nself.alt_buf = alt_buf", "if not self.active:\n print('screen not initialised')\n sys.exit()\nprint(string, file=self.out, end='')", "self.active = True\nif self.alt_buf:\n self.write('\\x1b[?...

<|body_start_0|> self.out = output self.active = False self.bgcolor = bgcolor self.bg = {} self.hide_cursor = hide_cursor self.alt_buf = alt_buf <|end_body_0|> <|body_start_1|> if not self.active: print('screen not initialised') sys.exit()...

A context manager for writing to the terminal. When entered the screen is prepared to show graphics, and when exited it always returns the screen to a usable state

ConsoleGraphics

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ConsoleGraphics: """A context manager for writing to the terminal. When entered the screen is prepared to show graphics, and when exited it always returns the screen to a usable state""" def __init__(self, output=sys.stdout, bgcolor=DEFAULT, hide_cursor=True, alt_buf=True): """output...

stack_v2_sparse_classes_36k_train_023816

2,248

no_license

[ { "docstring": "output: the file-like object to print to bgcolor: the color to initialise the background to hide_cursor: whether or not to hide the cursor. Can be useful for debugging alt_buf: whether or not to switch to the alternate buffer. Useful for debugging", "name": "__init__", "signature": "def ...

4

stack_v2_sparse_classes_30k_train_013113

Implement the Python class `ConsoleGraphics` described below. Class description: A context manager for writing to the terminal. When entered the screen is prepared to show graphics, and when exited it always returns the screen to a usable state Method signatures and docstrings: - def __init__(self, output=sys.stdout,...

d0fffddfed1dfddea4e17487ffb21dba79e83a75

<|skeleton|> class ConsoleGraphics: """A context manager for writing to the terminal. When entered the screen is prepared to show graphics, and when exited it always returns the screen to a usable state""" def __init__(self, output=sys.stdout, bgcolor=DEFAULT, hide_cursor=True, alt_buf=True): """output...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ConsoleGraphics: """A context manager for writing to the terminal. When entered the screen is prepared to show graphics, and when exited it always returns the screen to a usable state""" def __init__(self, output=sys.stdout, bgcolor=DEFAULT, hide_cursor=True, alt_buf=True): """output: the file-li...

the_stack_v2_python_sparse

consolegraphics.py

MageJohn/PROM

train

0

9bcfc6ff45a499fa854aea7edd01b64ad718e20b

[ "super(ListLaunchConfigTest, cls).setUpClass()\ncls.lc_disk_config = 'AUTO'\ncls.lc_personality = [{'path': '/root/.ssh/authorized_keys', 'contents': 'DQoiQSBjbG91ZCBkb2VzIG5vdCBrbm93IHdoeSBp'}]\ncls.lc_metadata = {'lc_meta_key_1': 'lc_meta_value_1', 'lc_meta_key_2': 'lc_meta_value_2'}\ncls.lc_networks = [{'uuid': ...

<|body_start_0|> super(ListLaunchConfigTest, cls).setUpClass() cls.lc_disk_config = 'AUTO' cls.lc_personality = [{'path': '/root/.ssh/authorized_keys', 'contents': 'DQoiQSBjbG91ZCBkb2VzIG5vdCBrbm93IHdoeSBp'}] cls.lc_metadata = {'lc_meta_key_1': 'lc_meta_value_1', 'lc_meta_key_2': 'lc_met...

Verify launch config.

ListLaunchConfigTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023817

4,090

permissive

[ { "docstring": "Creates a scaling group.", "name": "setUpClass", "signature": "def setUpClass(cls)" }, { "docstring": "Verify the list config call for response code, headers and data.", "name": "test_list_launch_config_response", "signature": "def test_list_launch_config_response(self)" ...

2

stack_v2_sparse_classes_30k_train_006652

Implement the Python class `ListLaunchConfigTest` described below. Class description: Verify launch config. Method signatures and docstrings: - def setUpClass(cls): Creates a scaling group. - def test_list_launch_config_response(self): Verify the list config call for response code, headers and data.

Implement the Python class `ListLaunchConfigTest` described below. Class description: Verify launch config. Method signatures and docstrings: - def setUpClass(cls): Creates a scaling group. - def test_list_launch_config_response(self): Verify the list config call for response code, headers and data. <|skeleton|> cla...

7199cdd67255fe116dbcbedea660c13453671134

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ListLaunchConfigTest: """Verify launch config.""" def setUpClass(cls): """Creates a scaling group.""" super(ListLaunchConfigTest, cls).setUpClass() cls.lc_disk_config = 'AUTO' cls.lc_personality = [{'path': '/root/.ssh/authorized_keys', 'contents': 'DQoiQSBjbG91ZCBkb2VzIG5...

the_stack_v2_python_sparse

autoscale_cloudroast/test_repo/autoscale/functional/launch_config/test_list_launch_config.py

rackerlabs/otter

train

20

3452e571594f7b69ab6b13cd39f4d0b8da463814

[ "@lru_cache(None)\ndef dp(i):\n if i == len(s):\n return 1\n if s[i] == '0':\n return 0\n ans = dp(i + 1)\n if i + 1 < len(s) and int(s[i:i + 2]) < 27:\n ans += dp(i + 2)\n return ans\nreturn dp(0)", "valid_two = {str(x) for x in range(10, 27)}\n\n@cache\ndef dp(s: str) -> int:...

<|body_start_0|> @lru_cache(None) def dp(i): if i == len(s): return 1 if s[i] == '0': return 0 ans = dp(i + 1) if i + 1 < len(s) and int(s[i:i + 2]) < 27: ans += dp(i + 2) return ans retur...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def numDecodings(self, s: str) -> int: """2021/8/18 269 / 269 test cases passed. Status: Accepted Runtime: 36 ms Memory Usage: 14.6 MB :param s: :return:""" <|body_0|> def numDecodings2(self, s: str) -> int: """2022-10-01 Runtime: 37 ms, faster than 87.73% ...

stack_v2_sparse_classes_36k_train_023818

2,017

permissive

[ { "docstring": "2021/8/18 269 / 269 test cases passed. Status: Accepted Runtime: 36 ms Memory Usage: 14.6 MB :param s: :return:", "name": "numDecodings", "signature": "def numDecodings(self, s: str) -> int" }, { "docstring": "2022-10-01 Runtime: 37 ms, faster than 87.73% Memory Usage: 14.5 MB, l...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def numDecodings(self, s: str) -> int: 2021/8/18 269 / 269 test cases passed. Status: Accepted Runtime: 36 ms Memory Usage: 14.6 MB :param s: :return: - def numDecodings2(self, s...

4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5

<|skeleton|> class Solution: def numDecodings(self, s: str) -> int: """2021/8/18 269 / 269 test cases passed. Status: Accepted Runtime: 36 ms Memory Usage: 14.6 MB :param s: :return:""" <|body_0|> def numDecodings2(self, s: str) -> int: """2022-10-01 Runtime: 37 ms, faster than 87.73% ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def numDecodings(self, s: str) -> int: """2021/8/18 269 / 269 test cases passed. Status: Accepted Runtime: 36 ms Memory Usage: 14.6 MB :param s: :return:""" @lru_cache(None) def dp(i): if i == len(s): return 1 if s[i] == '0': ...

the_stack_v2_python_sparse

src/91-DecodeWays.py

Jiezhi/myleetcode

train

1

b458b6bec737a62066c065012afb89550dbb6a78

[ "self.callbacks = callbacks\nself.skip_tags = skip_tags\nself.parse_email = parse_email\nself.url_re = url_re\nself.email_re = email_re\nself.parser = html5lib_shim.BleachHTMLParser(tags=html5lib_shim.HTML_TAGS, strip=False, consume_entities=True, namespaceHTMLElements=False)\nself.walker = html5lib_shim.getTreeWal...

<|body_start_0|> self.callbacks = callbacks self.skip_tags = skip_tags self.parse_email = parse_email self.url_re = url_re self.email_re = email_re self.parser = html5lib_shim.BleachHTMLParser(tags=html5lib_shim.HTML_TAGS, strip=False, consume_entities=True, namespaceHTML...

Convert URL-like strings in an HTML fragment to links This function converts strings that look like URLs, domain names and email addresses in text that may be an HTML fragment to links, while preserving: 1. links already in the string 2. urls found in attributes 3. email addresses linkify does a best-effort approach an...

Linker

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Linker: """Convert URL-like strings in an HTML fragment to links This function converts strings that look like URLs, domain names and email addresses in text that may be an HTML fragment to links, while preserving: 1. links already in the string 2. urls found in attributes 3. email addresses link...

stack_v2_sparse_classes_36k_train_023819

19,432

permissive

[ { "docstring": "Creates a Linker instance :arg list callbacks: list of callbacks to run when adjusting tag attributes; defaults to ``bleach.linkifier.DEFAULT_CALLBACKS`` :arg list skip_tags: list of tags that you don't want to linkify the contents of; for example, you could set this to ``['pre']`` to skip linki...

2

null

Implement the Python class `Linker` described below. Class description: Convert URL-like strings in an HTML fragment to links This function converts strings that look like URLs, domain names and email addresses in text that may be an HTML fragment to links, while preserving: 1. links already in the string 2. urls foun...

1ad7ec05fb1e3676ac879585296c513c3ee50ef9

<|skeleton|> class Linker: """Convert URL-like strings in an HTML fragment to links This function converts strings that look like URLs, domain names and email addresses in text that may be an HTML fragment to links, while preserving: 1. links already in the string 2. urls found in attributes 3. email addresses link...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Linker: """Convert URL-like strings in an HTML fragment to links This function converts strings that look like URLs, domain names and email addresses in text that may be an HTML fragment to links, while preserving: 1. links already in the string 2. urls found in attributes 3. email addresses linkify does a be...

the_stack_v2_python_sparse

Library/lib/python3.7/site-packages/bleach/linkifier.py

holzschu/Carnets

train

541

7f9a2b359c9ebfc98dfb9b3ffb294e55f64c586d

[ "M = 1000000007\ndp = [[0] * (k + 1) for _ in range(n + 1)]\ndp[0][0] = 1\nfor i in range(1, n + 1):\n dp[i][0] = 1\n for j in range(1, k + 1):\n dp[i][j] = (dp[i - 1][j] + dp[i][j - 1]) % M\n if j >= i:\n dp[i][j] = (dp[i][j] - dp[i - 1][j - i] + M) % M\nprint(dp)\nreturn dp[n][k]", ...

<|body_start_0|> M = 1000000007 dp = [[0] * (k + 1) for _ in range(n + 1)] dp[0][0] = 1 for i in range(1, n + 1): dp[i][0] = 1 for j in range(1, k + 1): dp[i][j] = (dp[i - 1][j] + dp[i][j - 1]) % M if j >= i: dp[...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023820

3,029

no_license

[ { "docstring": ":type n: int :type k: int :rtype: int", "name": "kInversePairs", "signature": "def kInversePairs(self, n, k)" }, { "docstring": ":type n: int :type k: int :rtype: int", "name": "kInversePairs2", "signature": "def kInversePairs2(self, n, k)" }, { "docstring": ":typ...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def kInversePairs(self, n, k): :type n: int :type k: int :rtype: int - def kInversePairs2(self, n, k): :type n: int :type k: int :rtype: int - def kInversePairs3(self, n, k): :ty...

635af6e22aa8eef8e7920a585d43a45a891a8157

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def kInversePairs(self, n, k): """:type n: int :type k: int :rtype: int""" M = 1000000007 dp = [[0] * (k + 1) for _ in range(n + 1)] dp[0][0] = 1 for i in range(1, n + 1): dp[i][0] = 1 for j in range(1, k + 1): dp[i][j] ...

the_stack_v2_python_sparse

code629KInversePairsArray.py

cybelewang/leetcode-python

train

0

5eae4fc521669e25024b4e7526a1b103c984d9a4

[ "srcdir = tf_cfg.cfg.get('Tempesta', 'srcdir')\nworkdir = tf_cfg.cfg.get('Tempesta', 'workdir')\ntemplate = '%s/etc/js_challenge.tpl' % srcdir\njs_code = '%s/etc/js_challenge.js.tpl' % srcdir\nremote.tempesta.run_cmd('cp %s %s' % (js_code, workdir))\nremote.tempesta.run_cmd('cp %s %s/js1.tpl' % (template, workdir))...

<|body_start_0|> srcdir = tf_cfg.cfg.get('Tempesta', 'srcdir') workdir = tf_cfg.cfg.get('Tempesta', 'workdir') template = '%s/etc/js_challenge.tpl' % srcdir js_code = '%s/etc/js_challenge.js.tpl' % srcdir remote.tempesta.run_cmd('cp %s %s' % (js_code, workdir)) remote.tem...

Implicit default vhost use other implementation of `sticky` inheritance. Check that correct configuration is derived.

JSChallengeDefVhostInherit

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class JSChallengeDefVhostInherit: """Implicit default vhost use other implementation of `sticky` inheritance. Check that correct configuration is derived.""" def prepare_js_templates(self): """Templates for JS challenge are modified by start script, create a copy of default template for ea...

stack_v2_sparse_classes_36k_train_023821

24,777

no_license

[ { "docstring": "Templates for JS challenge are modified by start script, create a copy of default template for each vhost.", "name": "prepare_js_templates", "signature": "def prepare_js_templates(self)" }, { "docstring": "Clients send the validating request just in time and pass the challenge.",...

2

stack_v2_sparse_classes_30k_train_012634

Implement the Python class `JSChallengeDefVhostInherit` described below. Class description: Implicit default vhost use other implementation of `sticky` inheritance. Check that correct configuration is derived. Method signatures and docstrings: - def prepare_js_templates(self): Templates for JS challenge are modified ...

d56358ea653dbb367624937197ce5e489abf0b00

<|skeleton|> class JSChallengeDefVhostInherit: """Implicit default vhost use other implementation of `sticky` inheritance. Check that correct configuration is derived.""" def prepare_js_templates(self): """Templates for JS challenge are modified by start script, create a copy of default template for ea...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class JSChallengeDefVhostInherit: """Implicit default vhost use other implementation of `sticky` inheritance. Check that correct configuration is derived.""" def prepare_js_templates(self): """Templates for JS challenge are modified by start script, create a copy of default template for each vhost.""" ...

the_stack_v2_python_sparse

sessions/test_js_challenge.py

tempesta-tech/tempesta-test

train

13

90f1b0df8e7a084a641605e530906a2c8078e3cb

[ "desired_samples = model_settings['desired_samples']\nself.wav_filename_placeholder_ = tf.placeholder(tf.string, [])\nwav_loader = io_ops.read_file(self.wav_filename_placeholder_)\nwav_decoder = contrib_audio.decode_wav(wav_loader, desired_channels=1, desired_samples=desired_samples)\nself.foreground_volume_placeho...

<|body_start_0|> desired_samples = model_settings['desired_samples'] self.wav_filename_placeholder_ = tf.placeholder(tf.string, []) wav_loader = io_ops.read_file(self.wav_filename_placeholder_) wav_decoder = contrib_audio.decode_wav(wav_loader, desired_channels=1, desired_samples=desired...

AudioProcessor

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AudioProcessor: def prepare_processing_graph(self, model_settings): """Builds a TensorFlow graph to apply the input distortions. Creates a graph that loads a WAVE file, decodes it, scales the volume, shifts it in time, adds in background noise, calculates a spectrogram, and then builds a...

stack_v2_sparse_classes_36k_train_023822

7,375

no_license

[ { "docstring": "Builds a TensorFlow graph to apply the input distortions. Creates a graph that loads a WAVE file, decodes it, scales the volume, shifts it in time, adds in background noise, calculates a spectrogram, and then builds an MFCC fingerprint from that. This must be called with an active TensorFlow ses...

3

stack_v2_sparse_classes_30k_train_011915

Implement the Python class `AudioProcessor` described below. Class description: Implement the AudioProcessor class. Method signatures and docstrings: - def prepare_processing_graph(self, model_settings): Builds a TensorFlow graph to apply the input distortions. Creates a graph that loads a WAVE file, decodes it, scal...

053e5842ada4a6e0b63b9a6281bf823b15b1d645

<|skeleton|> class AudioProcessor: def prepare_processing_graph(self, model_settings): """Builds a TensorFlow graph to apply the input distortions. Creates a graph that loads a WAVE file, decodes it, scales the volume, shifts it in time, adds in background noise, calculates a spectrogram, and then builds a...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AudioProcessor: def prepare_processing_graph(self, model_settings): """Builds a TensorFlow graph to apply the input distortions. Creates a graph that loads a WAVE file, decodes it, scales the volume, shifts it in time, adds in background noise, calculates a spectrogram, and then builds an MFCC fingerp...

the_stack_v2_python_sparse

呼吸声音识别呼吸系统疾病/src/audio_processor.py

yphacker/ai_yanxishe

train

30

14f3446ba3484d9aadd407c666e59499342d7654

[ "if not self.args.score:\n return\nformatting.print_title('Scoring tests for {}'.format(self.assignment['name']))\nself.scores = OrderedDict()\nif self._grade_all():\n display_breakdown(self.scores)", "formatting.underline('Scoring tests for ' + test.name)\nprint()\npoints, passed, total = score(test, self....

<|body_start_0|> if not self.args.score: return formatting.print_title('Scoring tests for {}'.format(self.assignment['name'])) self.scores = OrderedDict() if self._grade_all(): display_breakdown(self.scores) <|end_body_0|> <|body_start_1|> formatting.unde...

A Protocol that runs tests, formats results, and reports a student's score.

ScoringProtocol

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023823

3,491

permissive

[ { "docstring": "Run gradeable tests and print results.", "name": "on_interact", "signature": "def on_interact(self)" }, { "docstring": "Grades a single Test.", "name": "_handle_test", "signature": "def _handle_test(self, test)" } ]

2

stack_v2_sparse_classes_30k_train_007169

Implement the Python class `ScoringProtocol` described below. Class description: A Protocol that runs tests, formats results, and reports a student's score. Method signatures and docstrings: - def on_interact(self): Run gradeable tests and print results. - def _handle_test(self, test): Grades a single Test.

Implement the Python class `ScoringProtocol` described below. Class description: A Protocol that runs tests, formats results, and reports a student's score. Method signatures and docstrings: - def on_interact(self): Run gradeable tests and print results. - def _handle_test(self, test): Grades a single Test. <|skelet...

492a077a06a36644177092f26c3a003fd86c2595

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ScoringProtocol: """A Protocol that runs tests, formats results, and reports a student's score.""" def on_interact(self): """Run gradeable tests and print results.""" if not self.args.score: return formatting.print_title('Scoring tests for {}'.format(self.assignment['n...

the_stack_v2_python_sparse

client/protocols/scoring.py

hpec/ok

train

0

49515a71bf2c852204a373d1c405803164f30d86

[ "selectors = response.xpath('//div[@class=\"el\"]')\nfor selector in selectors:\n urls = selector.xpath('./p[contains(@class,\"t1\")]/span/a/@href').get()\n if urls:\n yield scrapy.Request(urls, callback=self.parseDetail)", "title = response.xpath('//div[@class=\"cn\"]/h1/text()').get()\nsalary = res...

<|body_start_0|> selectors = response.xpath('//div[@class="el"]') for selector in selectors: urls = selector.xpath('./p[contains(@class,"t1")]/span/a/@href').get() if urls: yield scrapy.Request(urls, callback=self.parseDetail) <|end_body_0|> <|body_start_1|> ...

JobSpider

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023824

1,261

no_license

[ { "docstring": ":response 网站返回的数据", "name": "parse", "signature": "def parse(self, response)" }, { "docstring": "处理详情页数据", "name": "parseDetail", "signature": "def parseDetail(self, response)" } ]

2

null

Implement the Python class `JobSpider` described below. Class description: Implement the JobSpider class. Method signatures and docstrings: - def parse(self, response): :response 网站返回的数据 - def parseDetail(self, response): 处理详情页数据

Implement the Python class `JobSpider` described below. Class description: Implement the JobSpider class. Method signatures and docstrings: - def parse(self, response): :response 网站返回的数据 - def parseDetail(self, response): 处理详情页数据 <|skeleton|> class JobSpider: def parse(self, response): """:response 网站返回...

5a0fe16f367876ab5f63aa7737a9e0a0efdb3b09

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class JobSpider: def parse(self, response): """:response 网站返回的数据""" selectors = response.xpath('//div[@class="el"]') for selector in selectors: urls = selector.xpath('./p[contains(@class,"t1")]/span/a/@href').get() if urls: yield scrapy.Request(urls, c...

the_stack_v2_python_sparse

scrapy框架/jobSpider/jobSpider/spiders/job.py

onism7/spider

train

1

1457765821fb3bb34a5656efa0bdc4d9225358d0

[ "announcement = self.kwargs['announcement']\nsender = announcement.created_by.full_name\nif announcement.from_group:\n sender = announcement.from_group.name\nreturn self._delay_mail(to_email=self.user.email_address, context={'first_name': self.user.first_name, 'sender': sender, 'message': announcement.message}, ...

<|body_start_0|> announcement = self.kwargs['announcement'] sender = announcement.created_by.full_name if announcement.from_group: sender = announcement.from_group.name return self._delay_mail(to_email=self.user.email_address, context={'first_name': self.user.first_name, 'sen...

Sent a notification to one recipient of an Announcement. The base class verifies the user settings.

AnnouncementNotification

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AnnouncementNotification: """Sent a notification to one recipient of an Announcement. The base class verifies the user settings.""" def generate_mail(self): """Generate the email message the user should receive.""" <|body_0|> def generate_push(self): """Generate ...

stack_v2_sparse_classes_36k_train_023825

1,567

permissive

[ { "docstring": "Generate the email message the user should receive.", "name": "generate_mail", "signature": "def generate_mail(self)" }, { "docstring": "Generate the push message the user should receive on his/her phone.", "name": "generate_push", "signature": "def generate_push(self)" ...

2

stack_v2_sparse_classes_30k_train_003462

Implement the Python class `AnnouncementNotification` described below. Class description: Sent a notification to one recipient of an Announcement. The base class verifies the user settings. Method signatures and docstrings: - def generate_mail(self): Generate the email message the user should receive. - def generate_...

2c1909fd84fe3b3e0a9d3792c4bcc51089ad5a87

<|skeleton|> class AnnouncementNotification: """Sent a notification to one recipient of an Announcement. The base class verifies the user settings.""" def generate_mail(self): """Generate the email message the user should receive.""" <|body_0|> def generate_push(self): """Generate ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AnnouncementNotification: """Sent a notification to one recipient of an Announcement. The base class verifies the user settings.""" def generate_mail(self): """Generate the email message the user should receive.""" announcement = self.kwargs['announcement'] sender = announcement.c...

the_stack_v2_python_sparse

lego/apps/notifications/notifications.py

webkom/lego

train

53

4afee0b10b982e669613e4a8b4a2fb402612665f

[ "actionlist = [1, 2, 3, 4, 5]\nfor action in actionlist:\n if action == 1:\n val = getColumnSelection(action)\n self.assertEqual(val, 'bookID')\n if action == 2:\n val = getColumnSelection(action)\n self.assertEqual(val, 'bookAuthor')\n if action == 3:\n val = getColumnSe...

<|body_start_0|> actionlist = [1, 2, 3, 4, 5] for action in actionlist: if action == 1: val = getColumnSelection(action) self.assertEqual(val, 'bookID') if action == 2: val = getColumnSelection(action) self.assertEqu...

Test for getting action solution

TestgetColumnSelection

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestgetColumnSelection: """Test for getting action solution""" def testGetColumnSolution(self): """This a True test to see if the column is selected""" <|body_0|> def testBadGetColumnSolution(self): """This a False test to see if the column is selected""" ...

stack_v2_sparse_classes_36k_train_023826

1,495

no_license

[ { "docstring": "This a True test to see if the column is selected", "name": "testGetColumnSolution", "signature": "def testGetColumnSolution(self)" }, { "docstring": "This a False test to see if the column is selected", "name": "testBadGetColumnSolution", "signature": "def testBadGetColu...

2

stack_v2_sparse_classes_30k_train_016531

Implement the Python class `TestgetColumnSelection` described below. Class description: Test for getting action solution Method signatures and docstrings: - def testGetColumnSolution(self): This a True test to see if the column is selected - def testBadGetColumnSolution(self): This a False test to see if the column i...

c9fc7f312f9d73fef6af6d13459ea4a69b16cdca

<|skeleton|> class TestgetColumnSelection: """Test for getting action solution""" def testGetColumnSolution(self): """This a True test to see if the column is selected""" <|body_0|> def testBadGetColumnSolution(self): """This a False test to see if the column is selected""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestgetColumnSelection: """Test for getting action solution""" def testGetColumnSolution(self): """This a True test to see if the column is selected""" actionlist = [1, 2, 3, 4, 5] for action in actionlist: if action == 1: val = getColumnSelection(actio...

the_stack_v2_python_sparse

IT - 412/databaseAssignment/testcases/testGetColumnSelection.py

vifezue/PythonWork

train

0

28c0c57fef07c94ff880fe00eabff1d62060c27c

[ "if not api.cinder.is_volume_service_enabled(request):\n raise rest_utils.AjaxError(501, _('Service Cinder is disabled.'))\nquota_set = api.cinder.default_quota_get(request, request.user.tenant_id)\nresult = [{'display_name': quotas.QUOTA_NAMES.get(quota.name, quota.name.replace('_', ' ').title()) + '', 'name': ...

<|body_start_0|> if not api.cinder.is_volume_service_enabled(request): raise rest_utils.AjaxError(501, _('Service Cinder is disabled.')) quota_set = api.cinder.default_quota_get(request, request.user.tenant_id) result = [{'display_name': quotas.QUOTA_NAMES.get(quota.name, quota.name....

API for getting default quotas for cinder

DefaultQuotaSets

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DefaultQuotaSets: """API for getting default quotas for cinder""" def get(self, request): """Get the values for Cinder specific quotas Example GET: http://localhost/api/cinder/quota-sets/defaults/""" <|body_0|> def patch(self, request): """Update the values for C...

stack_v2_sparse_classes_36k_train_023827

14,440

permissive

[ { "docstring": "Get the values for Cinder specific quotas Example GET: http://localhost/api/cinder/quota-sets/defaults/", "name": "get", "signature": "def get(self, request)" }, { "docstring": "Update the values for Cinder specific quotas This method returns HTTP 204 (no content) on success.", ...

2

stack_v2_sparse_classes_30k_train_005046

Implement the Python class `DefaultQuotaSets` described below. Class description: API for getting default quotas for cinder Method signatures and docstrings: - def get(self, request): Get the values for Cinder specific quotas Example GET: http://localhost/api/cinder/quota-sets/defaults/ - def patch(self, request): Up...

7896fd8c77a6766a1156a520946efaf792b76ca5

<|skeleton|> class DefaultQuotaSets: """API for getting default quotas for cinder""" def get(self, request): """Get the values for Cinder specific quotas Example GET: http://localhost/api/cinder/quota-sets/defaults/""" <|body_0|> def patch(self, request): """Update the values for C...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DefaultQuotaSets: """API for getting default quotas for cinder""" def get(self, request): """Get the values for Cinder specific quotas Example GET: http://localhost/api/cinder/quota-sets/defaults/""" if not api.cinder.is_volume_service_enabled(request): raise rest_utils.AjaxEr...

the_stack_v2_python_sparse

openstack_dashboard/api/rest/cinder.py

openstack/horizon

train

1,060

f64b6e42ae452ed8b84390f49de81c34e67e081c

[ "try:\n output = self.get_object()\nexcept ObjectDoesNotExist:\n return self.jp_error_response('HTTP_400_BAD_REQUEST', 'UNKNOWN_QUERY', ['Project output not found'])\nelse:\n year = request.GET.get('year', '')\n serializer = self.get_serializer(output, context={'request': request, 'year': year})\nreturn...

<|body_start_0|> try: output = self.get_object() except ObjectDoesNotExist: return self.jp_error_response('HTTP_400_BAD_REQUEST', 'UNKNOWN_QUERY', ['Project output not found']) else: year = request.GET.get('year', '') serializer = self.get_serializ...

OutputViewSet

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class OutputViewSet: def retrieve(self, request, *args, **kwargs): """Project details :param request: :param args: :param kwargs: :return:""" <|body_0|> def list(self, request, *args, **kwargs): """List Projects. :param request: :param args: :param kwargs: :return:""" ...

stack_v2_sparse_classes_36k_train_023828

34,498

permissive

[ { "docstring": "Project details :param request: :param args: :param kwargs: :return:", "name": "retrieve", "signature": "def retrieve(self, request, *args, **kwargs)" }, { "docstring": "List Projects. :param request: :param args: :param kwargs: :return:", "name": "list", "signature": "de...

2

stack_v2_sparse_classes_30k_train_021472

Implement the Python class `OutputViewSet` described below. Class description: Implement the OutputViewSet class. Method signatures and docstrings: - def retrieve(self, request, *args, **kwargs): Project details :param request: :param args: :param kwargs: :return: - def list(self, request, *args, **kwargs): List Proj...

692e4f745fa2d9b734cea07c5a9670a2d5862616

<|skeleton|> class OutputViewSet: def retrieve(self, request, *args, **kwargs): """Project details :param request: :param args: :param kwargs: :return:""" <|body_0|> def list(self, request, *args, **kwargs): """List Projects. :param request: :param args: :param kwargs: :return:""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class OutputViewSet: def retrieve(self, request, *args, **kwargs): """Project details :param request: :param args: :param kwargs: :return:""" try: output = self.get_object() except ObjectDoesNotExist: return self.jp_error_response('HTTP_400_BAD_REQUEST', 'UNKNOWN_QUER...

the_stack_v2_python_sparse

transparencyportal/transparencyportal/undp_outputs/api_views.py

franckdesales/cipython

train

0

23f5559faf5a09478fd67e2bab0df661a7574516

[ "if (nvars + 1) % 2 != 0:\n raise ProblemError('setup requires nvars = 2^p - 1')\nsuper().__init__((nvars, None, np.dtype('float64')))\nself._makeAttributeAndRegister('nvars', 'nu', 'lambda0', 'newton_maxiter', 'newton_tol', 'interval', 'stop_at_nan', localVars=locals(), readOnly=True)\nself.dx = (self.interval[...

<|body_start_0|> if (nvars + 1) % 2 != 0: raise ProblemError('setup requires nvars = 2^p - 1') super().__init__((nvars, None, np.dtype('float64'))) self._makeAttributeAndRegister('nvars', 'nu', 'lambda0', 'newton_maxiter', 'newton_tol', 'interval', 'stop_at_nan', localVars=locals(), ...

Example implementing the generalized Fisher's equation in 1D with finite differences Attributes: A: second-order FD discretization of the 1D laplace operator dx: distance between two spatial nodes

generalized_fisher

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class generalized_fisher: """Example implementing the generalized Fisher's equation in 1D with finite differences Attributes: A: second-order FD discretization of the 1D laplace operator dx: distance between two spatial nodes""" def __init__(self, nvars=127, nu=1.0, lambda0=2.0, newton_maxiter=100...

stack_v2_sparse_classes_36k_train_023829

5,961

permissive

[ { "docstring": "Initialization routine", "name": "__init__", "signature": "def __init__(self, nvars=127, nu=1.0, lambda0=2.0, newton_maxiter=100, newton_tol=1e-12, interval=(-5, 5), stop_at_nan=True)" }, { "docstring": "Simple Newton solver. Parameters ---------- rhs : dtype_f Right-hand side fo...

4

null

Implement the Python class `generalized_fisher` described below. Class description: Example implementing the generalized Fisher's equation in 1D with finite differences Attributes: A: second-order FD discretization of the 1D laplace operator dx: distance between two spatial nodes Method signatures and docstrings: - d...

1a51834bedffd4472e344bed28f4d766614b1537

<|skeleton|> class generalized_fisher: """Example implementing the generalized Fisher's equation in 1D with finite differences Attributes: A: second-order FD discretization of the 1D laplace operator dx: distance between two spatial nodes""" def __init__(self, nvars=127, nu=1.0, lambda0=2.0, newton_maxiter=100...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class generalized_fisher: """Example implementing the generalized Fisher's equation in 1D with finite differences Attributes: A: second-order FD discretization of the 1D laplace operator dx: distance between two spatial nodes""" def __init__(self, nvars=127, nu=1.0, lambda0=2.0, newton_maxiter=100, newton_tol=...

the_stack_v2_python_sparse

pySDC/implementations/problem_classes/GeneralizedFisher_1D_FD_implicit.py

Parallel-in-Time/pySDC

train

30

de81d8e5e85f6f355fc69c7b010d515a5abe6757

[ "if len(point_list) < 3:\n raise ValueError('small number of points')\nself.point_list = point_list\nself.convex_hull = []", "p_min = min(self.point_list, key=lambda p: (p.y, p.x))\nself.point_list.sort(key=lambda p: ((p - p_min).alpha(), (p - p_min) * (p - p_min)))\nfor point in self.point_list:\n while le...

Graham's scan algorithm for finding the convex hull of points. https://en.wikipedia.org/wiki/Graham_scan

GrahamScan1

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GrahamScan1: """Graham's scan algorithm for finding the convex hull of points. https://en.wikipedia.org/wiki/Graham_scan""" def __init__(self, point_list): """The algorithm initialization.""" <|body_0|> def run(self): """Executable pseudocode.""" <|body_1...

stack_v2_sparse_classes_36k_train_023830

2,863

permissive

[ { "docstring": "The algorithm initialization.", "name": "__init__", "signature": "def __init__(self, point_list)" }, { "docstring": "Executable pseudocode.", "name": "run", "signature": "def run(self)" } ]

2

stack_v2_sparse_classes_30k_test_000322

Implement the Python class `GrahamScan1` described below. Class description: Graham's scan algorithm for finding the convex hull of points. https://en.wikipedia.org/wiki/Graham_scan Method signatures and docstrings: - def __init__(self, point_list): The algorithm initialization. - def run(self): Executable pseudocode...

93417f2de3ec1694b5a63b1d77b96138bf8db20d

<|skeleton|> class GrahamScan1: """Graham's scan algorithm for finding the convex hull of points. https://en.wikipedia.org/wiki/Graham_scan""" def __init__(self, point_list): """The algorithm initialization.""" <|body_0|> def run(self): """Executable pseudocode.""" <|body_1...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GrahamScan1: """Graham's scan algorithm for finding the convex hull of points. https://en.wikipedia.org/wiki/Graham_scan""" def __init__(self, point_list): """The algorithm initialization.""" if len(point_list) < 3: raise ValueError('small number of points') self.point...

the_stack_v2_python_sparse

planegeometry/hulls/graham.py

ufkapano/planegeometry

train

1

192561fc66246fdd6f91ec1a7cc412d39734c356

[ "super(SimSiam, self).__init__()\nself.encoder = base_encoder(num_classes=dim, zero_init_residual=True)\nprev_dim = self.encoder.fc.weight.shape[1]\nself.encoder.fc = nn.Sequential(nn.Linear(prev_dim, prev_dim, bias=False), nn.BatchNorm1d(prev_dim), nn.ReLU(inplace=True), nn.Linear(prev_dim, prev_dim, bias=False), ...

<|body_start_0|> super(SimSiam, self).__init__() self.encoder = base_encoder(num_classes=dim, zero_init_residual=True) prev_dim = self.encoder.fc.weight.shape[1] self.encoder.fc = nn.Sequential(nn.Linear(prev_dim, prev_dim, bias=False), nn.BatchNorm1d(prev_dim), nn.ReLU(inplace=True), nn...

Build a SimSiam model.

SimSiam

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SimSiam: """Build a SimSiam model.""" def __init__(self, base_encoder, dim=2048, pred_dim=512): """dim: feature dimension (default: 2048) pred_dim: hidden dimension of the predictor (default: 512)""" <|body_0|> def forward(self, x1, x2): """Input: x1: first views...

stack_v2_sparse_classes_36k_train_023831

2,880

no_license

[ { "docstring": "dim: feature dimension (default: 2048) pred_dim: hidden dimension of the predictor (default: 512)", "name": "__init__", "signature": "def __init__(self, base_encoder, dim=2048, pred_dim=512)" }, { "docstring": "Input: x1: first views of images x2: second views of images Output: p...

2

stack_v2_sparse_classes_30k_train_010217

Implement the Python class `SimSiam` described below. Class description: Build a SimSiam model. Method signatures and docstrings: - def __init__(self, base_encoder, dim=2048, pred_dim=512): dim: feature dimension (default: 2048) pred_dim: hidden dimension of the predictor (default: 512) - def forward(self, x1, x2): I...

7e55a422588c1d1e00f35a3d3a3ff896cce59e18

<|skeleton|> class SimSiam: """Build a SimSiam model.""" def __init__(self, base_encoder, dim=2048, pred_dim=512): """dim: feature dimension (default: 2048) pred_dim: hidden dimension of the predictor (default: 512)""" <|body_0|> def forward(self, x1, x2): """Input: x1: first views...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SimSiam: """Build a SimSiam model.""" def __init__(self, base_encoder, dim=2048, pred_dim=512): """dim: feature dimension (default: 2048) pred_dim: hidden dimension of the predictor (default: 512)""" super(SimSiam, self).__init__() self.encoder = base_encoder(num_classes=dim, zero...

the_stack_v2_python_sparse

generated/test_facebookresearch_simsiam.py

jansel/pytorch-jit-paritybench

train

35

eb4ed989f04dcdce30a03f0b2cce08868ac1a1de

[ "super(Inception5a, self).__init__()\nself.branch1 = ConvBNLayer(num_channels=num_channels, num_filters=ch1x1, filter_size=1, stride=1, padding=0)\nself.branch2 = paddle.nn.Sequential(ConvBNLayer(num_channels=num_channels, num_filters=ch3x3reduced, filter_size=1, stride=1, padding=0), ConvBNLayer(num_channels=ch3x3...

<|body_start_0|> super(Inception5a, self).__init__() self.branch1 = ConvBNLayer(num_channels=num_channels, num_filters=ch1x1, filter_size=1, stride=1, padding=0) self.branch2 = paddle.nn.Sequential(ConvBNLayer(num_channels=num_channels, num_filters=ch3x3reduced, filter_size=1, stride=1, padding=...

Inception5a

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Inception5a: def __init__(self, num_channels, ch1x1, ch3x3reduced, ch3x3, doublech3x3reduced, doublech3x3_1, doublech3x3_2, pool_proj): """@Brief `Inception5a` @Parameters num_channels : channel numbers of input tensor ch1x1 : output channel numbers of 1x1 conv ch3x3reduced : channel num...

stack_v2_sparse_classes_36k_train_023832

23,805

permissive

[ { "docstring": "@Brief `Inception5a` @Parameters num_channels : channel numbers of input tensor ch1x1 : output channel numbers of 1x1 conv ch3x3reduced : channel numbers of 1x1 conv before 3x3 conv ch3x3 : output channel numbers of 3x3 conv doublech3x3reduced : channel numbers of 1x1 conv before the double 3x3 ...

2

null

Implement the Python class `Inception5a` described below. Class description: Implement the Inception5a class. Method signatures and docstrings: - def __init__(self, num_channels, ch1x1, ch3x3reduced, ch3x3, doublech3x3reduced, doublech3x3_1, doublech3x3_2, pool_proj): @Brief `Inception5a` @Parameters num_channels : c...

78ff3c3ab3906012a0f4a612251347632aa493a7

<|skeleton|> class Inception5a: def __init__(self, num_channels, ch1x1, ch3x3reduced, ch3x3, doublech3x3reduced, doublech3x3_1, doublech3x3_2, pool_proj): """@Brief `Inception5a` @Parameters num_channels : channel numbers of input tensor ch1x1 : output channel numbers of 1x1 conv ch3x3reduced : channel num...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Inception5a: def __init__(self, num_channels, ch1x1, ch3x3reduced, ch3x3, doublech3x3reduced, doublech3x3_1, doublech3x3_2, pool_proj): """@Brief `Inception5a` @Parameters num_channels : channel numbers of input tensor ch1x1 : output channel numbers of 1x1 conv ch3x3reduced : channel numbers of 1x1 co...

the_stack_v2_python_sparse

ECO/paddle2.0/model/ECO.py

thinkall/Contrib

train

1

242007547d8c4860ac39086b35e39c80f89f1e6b

[ "try:\n with self.get_keycloak_client() as kc:\n resp = kc.get_realm_roles(user_name)\n roles = [r['name'] for r in resp]\n roles = filter_roles(roles)\n if role_name is None:\n return Response(roles, status=200)\n else:\n exists = role_name in roles\n ...

<|body_start_0|> try: with self.get_keycloak_client() as kc: resp = kc.get_realm_roles(user_name) roles = [r['name'] for r in resp] roles = filter_roles(roles) if role_name is None: return Response(roles, status=200)...

View to assign role to users

BossUserRole

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BossUserRole: """View to assign role to users""" def get(self, request, user_name, role_name=None): """Multi-function method 1) If role_name is None, return all roles assigned to the user 2) If role_name is not None, return True/False if the user is assigned the given role Args: requ...

stack_v2_sparse_classes_36k_train_023833

11,158

permissive

[ { "docstring": "Multi-function method 1) If role_name is None, return all roles assigned to the user 2) If role_name is not None, return True/False if the user is assigned the given role Args: request: Django rest framework request user_name: User name of the user to check role_name: Name of the role to check, ...

3

null

Implement the Python class `BossUserRole` described below. Class description: View to assign role to users Method signatures and docstrings: - def get(self, request, user_name, role_name=None): Multi-function method 1) If role_name is None, return all roles assigned to the user 2) If role_name is not None, return Tru...

c2e26d272bd7b8d54abdc2948193163537e31291

<|skeleton|> class BossUserRole: """View to assign role to users""" def get(self, request, user_name, role_name=None): """Multi-function method 1) If role_name is None, return all roles assigned to the user 2) If role_name is not None, return True/False if the user is assigned the given role Args: requ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BossUserRole: """View to assign role to users""" def get(self, request, user_name, role_name=None): """Multi-function method 1) If role_name is None, return all roles assigned to the user 2) If role_name is not None, return True/False if the user is assigned the given role Args: request: Django r...

the_stack_v2_python_sparse

django/sso/views/views_user.py

jhuapl-boss/boss

train

20

4c614bd8ded3c714845842d1c9e8ee7499a28fe4

[ "try:\n filters = {key: Filter(**filter_) for key, filter_ in data.get('filters', {}).items()}\nexcept TypeError as e:\n raise ValidationError(f'Filter: {e}')\ntry:\n paging = Paging(**data.get('paging', {}))\nexcept TypeError as e:\n raise ValidationError(f'Paging: {e}')\ntry:\n sort = [Sort(**sort)...

<|body_start_0|> try: filters = {key: Filter(**filter_) for key, filter_ in data.get('filters', {}).items()} except TypeError as e: raise ValidationError(f'Filter: {e}') try: paging = Paging(**data.get('paging', {})) except TypeError as e: ...

GridSettings

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023834

3,882

permissive

[ { "docstring": "Create from deserialized json", "name": "from_dict", "signature": "def from_dict(cls, data: Dict[str, Any]) -> 'GridSettings'" }, { "docstring": "Convert grid parameters to request args format", "name": "to_args", "signature": "def to_args(self) -> Dict[str, Any]" } ]

2

stack_v2_sparse_classes_30k_train_017289

Implement the Python class `GridSettings` described below. Class description: Implement the GridSettings class. Method signatures and docstrings: - def from_dict(cls, data: Dict[str, Any]) -> 'GridSettings': Create from deserialized json - def to_args(self) -> Dict[str, Any]: Convert grid parameters to request args f...

d0353e584925b80c7e07736f8a024f0eeef60dc5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GridSettings: def from_dict(cls, data: Dict[str, Any]) -> 'GridSettings': """Create from deserialized json""" try: filters = {key: Filter(**filter_) for key, filter_ in data.get('filters', {}).items()} except TypeError as e: raise ValidationError(f'Filter: {e}')...

the_stack_v2_python_sparse

webgrid/types.py

level12/webgrid

train

13

7ac868cd9b089d2cfb71642de7af7b03db0b1e3c

[ "constants = np.array([4.0, 9.0, 16.0])\ninitial_values = np.ones(len(constants))\n\ndef objective_and_gradient(values):\n objective = values ** 2 - constants\n gradient = 2.0 * values\n return (objective, gradient)\nroot_values, converged, failed = self.evaluate(newton_root(objective_and_gradient, initial...

<|body_start_0|> constants = np.array([4.0, 9.0, 16.0]) initial_values = np.ones(len(constants)) def objective_and_gradient(values): objective = values ** 2 - constants gradient = 2.0 * values return (objective, gradient) root_values, converged, faile...

Tests for methods in root_finder_newton module.

RootFinderNewtonTest

[ "Apache-2.0", "LicenseRef-scancode-generic-cla", "LicenseRef-scancode-unknown-license-reference", "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RootFinderNewtonTest: """Tests for methods in root_finder_newton module.""" def test_newton_root(self): """Tests that the newton root finder works on a square root example.""" <|body_0|> def test_failure_and_non_convergence(self): """Tests that we can determine w...

stack_v2_sparse_classes_36k_train_023835

4,237

permissive

[ { "docstring": "Tests that the newton root finder works on a square root example.", "name": "test_newton_root", "signature": "def test_newton_root(self)" }, { "docstring": "Tests that we can determine when the root finder has failed.", "name": "test_failure_and_non_convergence", "signatu...

3

null

Implement the Python class `RootFinderNewtonTest` described below. Class description: Tests for methods in root_finder_newton module. Method signatures and docstrings: - def test_newton_root(self): Tests that the newton root finder works on a square root example. - def test_failure_and_non_convergence(self): Tests th...

0d3a2193c0f2d320b65e602cf01d7a617da484df

<|skeleton|> class RootFinderNewtonTest: """Tests for methods in root_finder_newton module.""" def test_newton_root(self): """Tests that the newton root finder works on a square root example.""" <|body_0|> def test_failure_and_non_convergence(self): """Tests that we can determine w...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RootFinderNewtonTest: """Tests for methods in root_finder_newton module.""" def test_newton_root(self): """Tests that the newton root finder works on a square root example.""" constants = np.array([4.0, 9.0, 16.0]) initial_values = np.ones(len(constants)) def objective_an...

the_stack_v2_python_sparse

tf_quant_finance/math/root_search/newton_test.py

google/tf-quant-finance

train

4,165

e24408eaacadad5351b7586dd9456db3eda5c912

[ "if not is_basic_identifier(object_type.name):\n raise BadRequest('Invalid object_type name: %s' % object_type.name)\nif not is_yaml_string_valid(object_type.definition):\n raise BadRequest('Invalid YAML definition')\nobject_type_id, version = self.clients.resource_registry.create(object_type)\nreturn object_...

<|body_start_0|> if not is_basic_identifier(object_type.name): raise BadRequest('Invalid object_type name: %s' % object_type.name) if not is_yaml_string_valid(object_type.definition): raise BadRequest('Invalid YAML definition') object_type_id, version = self.clients.resou...

A service for defining and managing object types used as resource, messages, etc.

ObjectManagementService

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ObjectManagementService: """A service for defining and managing object types used as resource, messages, etc.""" def create_object_type(self, object_type=None): """Should receive an ObjectType object""" <|body_0|> def update_object_type(self, object_type=None): "...

stack_v2_sparse_classes_36k_train_023836

2,353

no_license

[ { "docstring": "Should receive an ObjectType object", "name": "create_object_type", "signature": "def create_object_type(self, object_type=None)" }, { "docstring": "Should receive an ObjectType object", "name": "update_object_type", "signature": "def update_object_type(self, object_type=...

4

stack_v2_sparse_classes_30k_train_006837

Implement the Python class `ObjectManagementService` described below. Class description: A service for defining and managing object types used as resource, messages, etc. Method signatures and docstrings: - def create_object_type(self, object_type=None): Should receive an ObjectType object - def update_object_type(se...

1693081ddaacd4e72c75ab47c0289a04f08ca6c9

<|skeleton|> class ObjectManagementService: """A service for defining and managing object types used as resource, messages, etc.""" def create_object_type(self, object_type=None): """Should receive an ObjectType object""" <|body_0|> def update_object_type(self, object_type=None): "...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ObjectManagementService: """A service for defining and managing object types used as resource, messages, etc.""" def create_object_type(self, object_type=None): """Should receive an ObjectType object""" if not is_basic_identifier(object_type.name): raise BadRequest('Invalid ob...

the_stack_v2_python_sparse

ion/services/coi/object_management_service.py

sfoley/coi-services

train

1

934df61e0e1e89c3636aa1520b2e4aaa73192589

[ "if '0' in (num1, num2):\n return '0'\nN1 = len(num1)\nN2 = len(num2)\nif N1 >= N2:\n t_max, t_min = (num1, num2)\n n_max, n_min = (N1, N2)\nelse:\n t_max, t_min = (num2, num1)\n n_max, n_min = (N2, N1)\nres = [0]\nfor i in xrange(1, n_min + 1):\n m = int(t_min[-i])\n carry = 0\n tmp_res = [...

<|body_start_0|> if '0' in (num1, num2): return '0' N1 = len(num1) N2 = len(num2) if N1 >= N2: t_max, t_min = (num1, num2) n_max, n_min = (N1, N2) else: t_max, t_min = (num2, num1) n_max, n_min = (N2, N1) res = [...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023837

1,726

no_license

[ { "docstring": ":type num1: str :type num2: str :rtype: str", "name": "multiply", "signature": "def multiply(self, num1, num2)" }, { "docstring": ":type num1: list of reversed int :type num2: list of reversed int :rtype: list of reversed int", "name": "add", "signature": "def add(self, n...

2

stack_v2_sparse_classes_30k_train_011155

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def multiply(self, num1, num2): :type num1: str :type num2: str :rtype: str - def add(self, num1, num2): :type num1: list of reversed int :type num2: list of reversed int :rtype:...

a1d1ee3ab38f7f496143adceb102a1955367d249

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def multiply(self, num1, num2): """:type num1: str :type num2: str :rtype: str""" if '0' in (num1, num2): return '0' N1 = len(num1) N2 = len(num2) if N1 >= N2: t_max, t_min = (num1, num2) n_max, n_min = (N1, N2) else...

the_stack_v2_python_sparse

leetcode/43_multiply-strings.py

JoySnow/Algorithm

train

0

cbbd44b544098974d73327dafc4a251b0803c0bf

[ "obj = getattr(cls, '_instance_', None)\nif obj is not None:\n return obj\nelse:\n obj = super(Reception, cls).__new__(cls)\n cls._instance_ = obj\n return obj", "self.log = log\nif plugin_path is not None:\n self.checkin(plugin_path)", "if plugin_path not in sys.path:\n sys.path.insert(0, plu...

Singleton class which holds information about known plugins. Currently a singleton, and even a class, seems to be overkill for this, but maybe we'll add some more functionality later.

Reception

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Reception: """Singleton class which holds information about known plugins. Currently a singleton, and even a class, seems to be overkill for this, but maybe we'll add some more functionality later.""" def __new__(cls, *args, **kwargs): """Creates the singleton.""" <|body_0|> ...

stack_v2_sparse_classes_36k_train_023838

2,512

permissive

[ { "docstring": "Creates the singleton.", "name": "__new__", "signature": "def __new__(cls, *args, **kwargs)" }, { "docstring": "Initializes the class and checks in if a path is provided.", "name": "__init__", "signature": "def __init__(self, plugin_path=None, log=None)" }, { "doc...

4

stack_v2_sparse_classes_30k_train_003425

Implement the Python class `Reception` described below. Class description: Singleton class which holds information about known plugins. Currently a singleton, and even a class, seems to be overkill for this, but maybe we'll add some more functionality later. Method signatures and docstrings: - def __new__(cls, *args,...

a7f91352296be8751fb7e35475580b80fd5a30af

<|skeleton|> class Reception: """Singleton class which holds information about known plugins. Currently a singleton, and even a class, seems to be overkill for this, but maybe we'll add some more functionality later.""" def __new__(cls, *args, **kwargs): """Creates the singleton.""" <|body_0|> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Reception: """Singleton class which holds information about known plugins. Currently a singleton, and even a class, seems to be overkill for this, but maybe we'll add some more functionality later.""" def __new__(cls, *args, **kwargs): """Creates the singleton.""" obj = getattr(cls, '_ins...

the_stack_v2_python_sparse

coherence/extern/simple_plugin.py

opacam/Cohen3

train

73

424e7a1611839fac2f055283fe87facc8c932570

[ "regressor = DecisionTreeRegressor(max_depth=regressor_depth)\nfor w_index, window in enumerate(window_seq):\n samples = tuple(((i,) for i in range(len(window))))\n regressor.fit(samples, window)\n predicted = regressor.predict(samples)\n if normalize_predicted:\n predicted = self._normalize(pred...

<|body_start_0|> regressor = DecisionTreeRegressor(max_depth=regressor_depth) for w_index, window in enumerate(window_seq): samples = tuple(((i,) for i in range(len(window)))) regressor.fit(samples, window) predicted = regressor.predict(samples) if normali...

Sliding window filter that based on DecisionTreeRegressor. Let set the initial samples and data: >>> sample_list = list([i] for i in range(10)) >>> sample_list [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9]] >>> data_list = list(i for i in range(10)) >>> data_list [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] The DecisionTreeRegre...

DecisionTreeRegressorSWFilter

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DecisionTreeRegressorSWFilter: """Sliding window filter that based on DecisionTreeRegressor. Let set the initial samples and data: >>> sample_list = list([i] for i in range(10)) >>> sample_list [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9]] >>> data_list = list(i for i in range(10)) >>> data_...

stack_v2_sparse_classes_36k_train_023839

4,853

permissive

[ { "docstring": "Reduce sliding windows into values :param collections.Iterable[SlidingWindow] window_seq: sequence of sliding windows :param int regressor_depth: the depth of the regression tree in `DecisionTreeRegressor`, :param bool normalize_predicted: :param bool mark_joint: :param kwargs: ignores it and pa...

2

null

Implement the Python class `DecisionTreeRegressorSWFilter` described below. Class description: Sliding window filter that based on DecisionTreeRegressor. Let set the initial samples and data: >>> sample_list = list([i] for i in range(10)) >>> sample_list [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9]] >>> data_list...

617ff45c9c3c96bbd9a975aef15f1b2697282b9c

<|skeleton|> class DecisionTreeRegressorSWFilter: """Sliding window filter that based on DecisionTreeRegressor. Let set the initial samples and data: >>> sample_list = list([i] for i in range(10)) >>> sample_list [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9]] >>> data_list = list(i for i in range(10)) >>> data_...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DecisionTreeRegressorSWFilter: """Sliding window filter that based on DecisionTreeRegressor. Let set the initial samples and data: >>> sample_list = list([i] for i in range(10)) >>> sample_list [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9]] >>> data_list = list(i for i in range(10)) >>> data_list [0, 1, 2...

the_stack_v2_python_sparse

shot_detector/filters/sliding_window/decision_tree_regressor_swfilter.py

w495/python-video-shot-detector

train

20

4a10c9acd1e120037f209fc0b785774b4e0004b5

[ "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!')", "conte...

TimeSeriesStreamingServicer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TimeSeriesStreamingServicer: def MetaDataCoordination(self, request, context): """Back-and-forth needed to coordinate server with client""" <|body_0|> def RealTimeSeries(self, request, context): """Signal consisting of a stream of real-valued samples""" <|bod...

stack_v2_sparse_classes_36k_train_023840

3,225

no_license

[ { "docstring": "Back-and-forth needed to coordinate server with client", "name": "MetaDataCoordination", "signature": "def MetaDataCoordination(self, request, context)" }, { "docstring": "Signal consisting of a stream of real-valued samples", "name": "RealTimeSeries", "signature": "def R...

3

stack_v2_sparse_classes_30k_train_006157

Implement the Python class `TimeSeriesStreamingServicer` described below. Class description: Implement the TimeSeriesStreamingServicer class. Method signatures and docstrings: - def MetaDataCoordination(self, request, context): Back-and-forth needed to coordinate server with client - def RealTimeSeries(self, request,...

7760c23893968aed84d9659b082932c97c20460e

<|skeleton|> class TimeSeriesStreamingServicer: def MetaDataCoordination(self, request, context): """Back-and-forth needed to coordinate server with client""" <|body_0|> def RealTimeSeries(self, request, context): """Signal consisting of a stream of real-valued samples""" <|bod...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TimeSeriesStreamingServicer: def MetaDataCoordination(self, request, context): """Back-and-forth needed to coordinate server with client""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not imple...

the_stack_v2_python_sparse

signal_server_to_client/time_series_streaming_pb2_grpc.py

iansmorrison/gRPC_Python_API

train

0

0145583c62075cd4d4baaa61a746f33d0397f943

[ "orders = []\n\ndef inorder(node):\n if node:\n inorder(node.left)\n orders.append(node.val)\n inorder(node.right)\ninorder(root)\nreturn orders", "res, stack = ([], [])\ncur = root\nwhile cur or len(stack) != 0:\n while cur:\n '\\n 对一节点执行左根右的遍历，其实就是不断地去寻找节点的左子...

94. 给定一个二叉树，返回它的中序遍历。示例: 输入: [1,null,2,3] 1 2 / 3 输出: [1,3,2] 分析：树的中序遍历的顺序为：左根右

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: """94. 给定一个二叉树，返回它的中序遍历。示例: 输入: [1,null,2,3] 1 2 / 3 输出: [1,3,2] 分析：树的中序遍历的顺序为：左根右""" def inorder_traversal(self, root): """:type root: TreeNode :rtype: List[int] 直接使用递归，从根节点开始遍历的顺序为左根右，假定当前层左子树、右子树均完成遍历，则此时对于根节点来说遍历的顺序就为左节点、根节点、右节点。左子树、右子树中任意节点均与根节点具有相同的遍历规律因为树种每个节点都要...

stack_v2_sparse_classes_36k_train_023841

2,703

no_license

[ { "docstring": ":type root: TreeNode :rtype: List[int] 直接使用递归，从根节点开始遍历的顺序为左根右，假定当前层左子树、右子树均完成遍历，则此时对于根节点来说遍历的顺序就为左节点、根节点、右节点。左子树、右子树中任意节点均与根节点具有相同的遍历规律因为树种每个节点都要被访问两遍，因此时间复杂度为O(n)，空间上如果除了子节点外所有结点都具有左、右子节点，则空间复杂度为 O(n)，平均下来为O(logn) 时间复杂度：O(n) 空间复杂度：O(logn)", "name": "inorder_traversal", "signature": "d...

2

null

Implement the Python class `Solution` described below. Class description: 94. 给定一个二叉树，返回它的中序遍历。示例: 输入: [1,null,2,3] 1 2 / 3 输出: [1,3,2] 分析：树的中序遍历的顺序为：左根右 Method signatures and docstrings: - def inorder_traversal(self, root): :type root: TreeNode :rtype: List[int] 直接使用递归，从根节点开始遍历的顺序为左根右，假定当前层左子树、右子树均完成遍历，则此时对于根节点来...

2c534185854c1a6f5ffdb2698f9db9989f30a25b

<|skeleton|> class Solution: """94. 给定一个二叉树，返回它的中序遍历。示例: 输入: [1,null,2,3] 1 2 / 3 输出: [1,3,2] 分析：树的中序遍历的顺序为：左根右""" def inorder_traversal(self, root): """:type root: TreeNode :rtype: List[int] 直接使用递归，从根节点开始遍历的顺序为左根右，假定当前层左子树、右子树均完成遍历，则此时对于根节点来说遍历的顺序就为左节点、根节点、右节点。左子树、右子树中任意节点均与根节点具有相同的遍历规律因为树种每个节点都要...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: """94. 给定一个二叉树，返回它的中序遍历。示例: 输入: [1,null,2,3] 1 2 / 3 输出: [1,3,2] 分析：树的中序遍历的顺序为：左根右""" def inorder_traversal(self, root): """:type root: TreeNode :rtype: List[int] 直接使用递归，从根节点开始遍历的顺序为左根右，假定当前层左子树、右子树均完成遍历，则此时对于根节点来说遍历的顺序就为左节点、根节点、右节点。左子树、右子树中任意节点均与根节点具有相同的遍历规律因为树种每个节点都要被访问两遍，因此时间复杂度...

the_stack_v2_python_sparse

Week 02/id_668/leetcode_94_668.py

Carryours/algorithm004-03

train

2

efb8513451ff07317b4456adc0bc05d4546c727d

[ "from CortexDataLake import Client\nif exception:\n with pytest.raises(DemistoException):\n Client._backoff_strategy(integration_context)\nelse:\n Client._backoff_strategy(integration_context)", "from CortexDataLake import Client\nupdated_ic = Client._cache_failure_times(integration_context.copy())\n...

A class to test the backoff strategy mechanism

TestBackoffStrategy

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestBackoffStrategy: """A class to test the backoff strategy mechanism""" def test_backoff_strategy(self, integration_context, exception): """Given: - An integration context that represents a try to fetch in the 1st hour & 1st minute window - An integration context that represents a ...

stack_v2_sparse_classes_36k_train_023842

15,019

permissive

[ { "docstring": "Given: - An integration context that represents a try to fetch in the 1st hour & 1st minute window - An integration context that represents a try to fetch in the first 48 hours & 10 minutes window - An integration context that represents a try to fetch after 48 hours & 60 minutes window - An int...

3

stack_v2_sparse_classes_30k_train_015340

Implement the Python class `TestBackoffStrategy` described below. Class description: A class to test the backoff strategy mechanism Method signatures and docstrings: - def test_backoff_strategy(self, integration_context, exception): Given: - An integration context that represents a try to fetch in the 1st hour & 1st ...

890def5a0e0ae8d6eaa538148249ddbc851dbb6b

<|skeleton|> class TestBackoffStrategy: """A class to test the backoff strategy mechanism""" def test_backoff_strategy(self, integration_context, exception): """Given: - An integration context that represents a try to fetch in the 1st hour & 1st minute window - An integration context that represents a ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestBackoffStrategy: """A class to test the backoff strategy mechanism""" def test_backoff_strategy(self, integration_context, exception): """Given: - An integration context that represents a try to fetch in the 1st hour & 1st minute window - An integration context that represents a try to fetch ...

the_stack_v2_python_sparse

Packs/CortexDataLake/Integrations/CortexDataLake/CortexDataLake_test.py

demisto/content

train

1,023

05dc71bb312fa184ceb8e4f1e3ade6552287802c

[ "self.__bind = bind\nself.__connect = connect\nself.__status = False\nself.__thread = False\nself.__lock = _thread.allocate_lock()", "self.__lock.acquire()\nself.__status = True\nif not self.__thread:\n self.__thread = True\n _thread.start_new_thread(self.__proxy, ())\nself.__lock.release()", "self.__lock...

Proxy(bind, connect) -> Proxy

Proxy

[ "Python-2.0", "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023843

2,567

permissive

[ { "docstring": "Initialize the Proxy object.", "name": "__init__", "signature": "def __init__(self, bind, connect)" }, { "docstring": "Start the Proxy object.", "name": "start", "signature": "def start(self)" }, { "docstring": "Stop the Proxy object.", "name": "stop", "si...

5

null

Implement the Python class `Proxy` described below. Class description: Proxy(bind, connect) -> Proxy Method signatures and docstrings: - def __init__(self, bind, connect): Initialize the Proxy object. - def start(self): Start the Proxy object. - def stop(self): Stop the Proxy object. - def __proxy(self): Private clas...

d097ca0ad6a6aee2180d32dce6a3322621f655fd

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Proxy: """Proxy(bind, connect) -> Proxy""" def __init__(self, bind, connect): """Initialize the Proxy object.""" self.__bind = bind self.__connect = connect self.__status = False self.__thread = False self.__lock = _thread.allocate_lock() def start(sel...

the_stack_v2_python_sparse

recipes/Python/502204_Module_Running_Simple/recipe-502204.py

betty29/code-1

train

0

570b2f4e88abddf3a99a2d74c23081fcdede4d01

[ "game = Game(user=user, board='---------', message=message, game_over=False)\ngame.put()\nreturn game", "form = GameForm()\nform.urlsafe_key = self.key.urlsafe()\nform.user_name = self.user.get().name\nform.game_over = self.game_over\nform.message = self.message\nform.board = self.board\nform.winner = self.winner...

Game object

Game

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023844

6,081

no_license

[ { "docstring": "Creates and returns a new game", "name": "new_game", "signature": "def new_game(cls, user, message)" }, { "docstring": "Returns a GameForm representation of the Game", "name": "to_form", "signature": "def to_form(self)" }, { "docstring": "Ends the game - if won is...

3

stack_v2_sparse_classes_30k_val_000281

Implement the Python class `Game` described below. Class description: Game object Method signatures and docstrings: - def new_game(cls, user, message): Creates and returns a new game - def to_form(self): Returns a GameForm representation of the Game - def end_game(self, winner, message): Ends the game - if won is Tru...

787556cdc2932d3cc92e8ccabbc15e928078f1a5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Game: """Game object""" def new_game(cls, user, message): """Creates and returns a new game""" game = Game(user=user, board='---------', message=message, game_over=False) game.put() return game def to_form(self): """Returns a GameForm representation of the Gam...

the_stack_v2_python_sparse

TicTacToe/models.py

chinaq/FSND-P4-Design-A-Game

train

0

06d6bffe2f90495eabda0f709bfa13d1ab5b3098

[ "if not prices:\n return 0\nn = len(prices)\nif maxK > n // 2:\n return self.maxProfit_inf_k(prices)\ndp = [[[0] * 2 for _ in range(maxK + 1)] for _ in range(n)]\nfor i in range(n):\n for k in range(maxK, 0, -1):\n if i == 0:\n dp[i][k][0], dp[i][k][1] = (0, -prices[i])\n else:\n ...

<|body_start_0|> if not prices: return 0 n = len(prices) if maxK > n // 2: return self.maxProfit_inf_k(prices) dp = [[[0] * 2 for _ in range(maxK + 1)] for _ in range(n)] for i in range(n): for k in range(maxK, 0, -1): if i == 0...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def maxProfit(self, maxK: int, prices: list) -> int: """动态规划跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])""" <|body_0|> def maxProfit_inf_k(...

stack_v2_sparse_classes_36k_train_023845

2,396

no_license

[ { "docstring": "动态规划跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])", "name": "maxProfit", "signature": "def maxProfit(self, maxK: int, prices: list) -> int" }, { "docstring...

2

stack_v2_sparse_classes_30k_train_000430

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxProfit(self, maxK: int, prices: list) -> int: 动态规划跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] ...

3508e1ce089131b19603c3206aab4cf43023bb19

<|skeleton|> class Solution: def maxProfit(self, maxK: int, prices: list) -> int: """动态规划跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])""" <|body_0|> def maxProfit_inf_k(...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxProfit(self, maxK: int, prices: list) -> int: """动态规划跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])""" if not prices: return 0 n = le...

the_stack_v2_python_sparse

algorithm/leetcode/dp/11-买卖股票的最佳时机Ⅳ.py

lxconfig/UbuntuCode_bak

train

0

7bc8fcefad5c9c7badac3ce46a01619c4ce35c25

[ "if year < _Persian.START_YEAR or year > _Persian.END_YEAR:\n return None\nday = 21\nif year % 4 == 1 and year >= 2029 or (year % 4 == 2 and year >= 2062) or (year % 4 == 3 and year >= 2095) or (year % 4 == 0 and 1996 <= year <= 2096):\n day = 20\nelif year % 4 == 2 and year <= 1926 or (year % 4 == 3 and year...

<|body_start_0|> if year < _Persian.START_YEAR or year > _Persian.END_YEAR: return None day = 21 if year % 4 == 1 and year >= 2029 or (year % 4 == 2 and year >= 2062) or (year % 4 == 3 and year >= 2095) or (year % 4 == 0 and 1996 <= year <= 2096): day = 20 elif ye...

Persian calendar (Solar Hijri) for 1901-2100 years. https://en.wikipedia.org/wiki/Solar_Hijri_calendar

_Persian

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class _Persian: """Persian calendar (Solar Hijri) for 1901-2100 years. https://en.wikipedia.org/wiki/Solar_Hijri_calendar""" def new_year_date(self, year: int) -> Optional[date]: """Return Gregorian date of Persian new year (1 Farvardin) in a given Gregorian year.""" <|body_0|> ...

stack_v2_sparse_classes_36k_train_023846

1,855

permissive

[ { "docstring": "Return Gregorian date of Persian new year (1 Farvardin) in a given Gregorian year.", "name": "new_year_date", "signature": "def new_year_date(self, year: int) -> Optional[date]" }, { "docstring": "Return Gregorian date of Persian day and month in a given Gregorian year.", "na...

2

stack_v2_sparse_classes_30k_train_006962

Implement the Python class `_Persian` described below. Class description: Persian calendar (Solar Hijri) for 1901-2100 years. https://en.wikipedia.org/wiki/Solar_Hijri_calendar Method signatures and docstrings: - def new_year_date(self, year: int) -> Optional[date]: Return Gregorian date of Persian new year (1 Farvar...

f8c90952bf409703d0af5d89a202e21a90e2317f

<|skeleton|> class _Persian: """Persian calendar (Solar Hijri) for 1901-2100 years. https://en.wikipedia.org/wiki/Solar_Hijri_calendar""" def new_year_date(self, year: int) -> Optional[date]: """Return Gregorian date of Persian new year (1 Farvardin) in a given Gregorian year.""" <|body_0|> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _Persian: """Persian calendar (Solar Hijri) for 1901-2100 years. https://en.wikipedia.org/wiki/Solar_Hijri_calendar""" def new_year_date(self, year: int) -> Optional[date]: """Return Gregorian date of Persian new year (1 Farvardin) in a given Gregorian year.""" if year < _Persian.START_YE...

the_stack_v2_python_sparse

holidays/calendars/persian.py

dr-prodigy/python-holidays

train

919

ab138fde2857cb53d0dd8b9c5e3d0dc61b3681da

[ "self._parent = parent\nsuper().__init__(self._parent)\nprint('\\tgui/ScriptFileValidator parent: ', self._parent, ' -> self: ', self) if oPB.PRINTHIER else None\nself._field = field", "if p_str == '':\n return (ScriptFileValidator.Intermediate, p_str, p_int)\nif os.path.exists(Helper.concat_path_native(self._...

Validator to check for existing files

ScriptFileValidator

[ "MIT-0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ScriptFileValidator: """Validator to check for existing files""" def __init__(self, parent, field): """Constructor of ScriptFileValidator :param parent: parent window :param field: field object to validate""" <|body_0|> def validate(self, p_str, p_int): """Valida...

stack_v2_sparse_classes_36k_train_023847

29,282

permissive

[ { "docstring": "Constructor of ScriptFileValidator :param parent: parent window :param field: field object to validate", "name": "__init__", "signature": "def __init__(self, parent, field)" }, { "docstring": "Validator method :param p_str: script full pathname to validate :param p_int: (not used...

2

stack_v2_sparse_classes_30k_train_001974

Implement the Python class `ScriptFileValidator` described below. Class description: Validator to check for existing files Method signatures and docstrings: - def __init__(self, parent, field): Constructor of ScriptFileValidator :param parent: parent window :param field: field object to validate - def validate(self, ...

f6c86cc95218216cbd0f548b508d0c5fde11520e

<|skeleton|> class ScriptFileValidator: """Validator to check for existing files""" def __init__(self, parent, field): """Constructor of ScriptFileValidator :param parent: parent window :param field: field object to validate""" <|body_0|> def validate(self, p_str, p_int): """Valida...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ScriptFileValidator: """Validator to check for existing files""" def __init__(self, parent, field): """Constructor of ScriptFileValidator :param parent: parent window :param field: field object to validate""" self._parent = parent super().__init__(self._parent) print('\tgu...

the_stack_v2_python_sparse

oPB/gui/utilities.py

pandel/opsiPackageBuilder

train

10

b237319759db97fe256952d750a2f154decc69fc

[ "if isinstance(udf, Column) or not hasattr(udf, 'func') or udf.evalType != PythonEvalType.SQL_GROUPED_MAP_PANDAS_UDF:\n raise ValueError('Invalid udf: the udf argument must be a pandas_udf of type GROUPED_MAP.')\nwarnings.warn(\"It is preferred to use 'applyInPandas' over this API. This API will be deprecated in...

<|body_start_0|> if isinstance(udf, Column) or not hasattr(udf, 'func') or udf.evalType != PythonEvalType.SQL_GROUPED_MAP_PANDAS_UDF: raise ValueError('Invalid udf: the udf argument must be a pandas_udf of type GROUPED_MAP.') warnings.warn("It is preferred to use 'applyInPandas' over this AP...

Min-in for pandas grouped operations. Currently, only :class:`GroupedData` can use this class.

PandasGroupedOpsMixin

[ "BSD-3-Clause", "CC0-1.0", "CDDL-1.1", "Apache-2.0", "LicenseRef-scancode-public-domain", "BSD-2-Clause", "LicenseRef-scancode-unknown-license-reference", "EPL-2.0", "CDDL-1.0", "MIT", "LGPL-2.0-or-later", "Python-2.0", "LicenseRef-scancode-generic-cla", "LicenseRef-scancode-free-unknown",...

stack_v2_sparse_python_classes_v1

<|skeleton|> class PandasGroupedOpsMixin: """Min-in for pandas grouped operations. Currently, only :class:`GroupedData` can use this class.""" def apply(self, udf: 'GroupedMapPandasUserDefinedFunction') -> DataFrame: """It is an alias of :meth:`pyspark.sql.GroupedData.applyInPandas`; however, it takes ...

stack_v2_sparse_classes_36k_train_023848

21,716

permissive

[ { "docstring": "It is an alias of :meth:`pyspark.sql.GroupedData.applyInPandas`; however, it takes a :meth:`pyspark.sql.functions.pandas_udf` whereas :meth:`pyspark.sql.GroupedData.applyInPandas` takes a Python native function. .. versionadded:: 2.3.0 .. versionchanged:: 3.4.0 Support Spark Connect. Parameters ...

4

stack_v2_sparse_classes_30k_train_016207

Implement the Python class `PandasGroupedOpsMixin` described below. Class description: Min-in for pandas grouped operations. Currently, only :class:`GroupedData` can use this class. Method signatures and docstrings: - def apply(self, udf: 'GroupedMapPandasUserDefinedFunction') -> DataFrame: It is an alias of :meth:`p...

60d8fc49bec5dae1b8cf39a0670cb640b430f520

<|skeleton|> class PandasGroupedOpsMixin: """Min-in for pandas grouped operations. Currently, only :class:`GroupedData` can use this class.""" def apply(self, udf: 'GroupedMapPandasUserDefinedFunction') -> DataFrame: """It is an alias of :meth:`pyspark.sql.GroupedData.applyInPandas`; however, it takes ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PandasGroupedOpsMixin: """Min-in for pandas grouped operations. Currently, only :class:`GroupedData` can use this class.""" def apply(self, udf: 'GroupedMapPandasUserDefinedFunction') -> DataFrame: """It is an alias of :meth:`pyspark.sql.GroupedData.applyInPandas`; however, it takes a :meth:`pysp...

the_stack_v2_python_sparse

python/pyspark/sql/pandas/group_ops.py

apache/spark

train

39,983

5a67480a3dc085a3ccde932a0bb8a1585e4a596c

[ "self.act_f = activation\nself.dtype = dtype\nself.rnn_idx: np.ndarray = rnn_idx\nself.n_inputs: int = len(input_idx)\nself.n_hidden: int = len(hidden_idx)\nself.n_rnn: int = len(rnn_idx)\nself.n_outputs: int = len(output_idx)\nself.bs: int = batch_size\nrnn_map_temp = []\nfor i, m in enumerate(rnn_map):\n rnn_m...

<|body_start_0|> self.act_f = activation self.dtype = dtype self.rnn_idx: np.ndarray = rnn_idx self.n_inputs: int = len(input_idx) self.n_hidden: int = len(hidden_idx) self.n_rnn: int = len(rnn_idx) self.n_outputs: int = len(output_idx) self.bs: int = batc...

Custom representation of a feedforward network used by the genomes to make predictions.

FeedForwardNet

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FeedForwardNet: """Custom representation of a feedforward network used by the genomes to make predictions.""" def __init__(self, input_idx: np.ndarray, hidden_idx: np.ndarray, rnn_idx: np.ndarray, output_idx: np.ndarray, in2hid: tuple, in2out: tuple, hid2hid: tuple, hid2out: tuple, hidden_bi...

stack_v2_sparse_classes_36k_train_023849

16,851

permissive

[ { "docstring": "Create a simple feedforward network used as the control-mechanism for the drones. :param input_idx: Input indices (sensors) :param hidden_idx: Hidden simple-node indices (DefaultGeneNode) in the network :param rnn_idx: Hidden RNN-node indices (DefaultGeneNode) in the network :param output_idx: O...

3

stack_v2_sparse_classes_30k_train_002462

Implement the Python class `FeedForwardNet` described below. Class description: Custom representation of a feedforward network used by the genomes to make predictions. Method signatures and docstrings: - def __init__(self, input_idx: np.ndarray, hidden_idx: np.ndarray, rnn_idx: np.ndarray, output_idx: np.ndarray, in2...

818a4ce941536611c0f1780f7c4a6238f0e1884e

<|skeleton|> class FeedForwardNet: """Custom representation of a feedforward network used by the genomes to make predictions.""" def __init__(self, input_idx: np.ndarray, hidden_idx: np.ndarray, rnn_idx: np.ndarray, output_idx: np.ndarray, in2hid: tuple, in2out: tuple, hid2hid: tuple, hid2out: tuple, hidden_bi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FeedForwardNet: """Custom representation of a feedforward network used by the genomes to make predictions.""" def __init__(self, input_idx: np.ndarray, hidden_idx: np.ndarray, rnn_idx: np.ndarray, output_idx: np.ndarray, in2hid: tuple, in2out: tuple, hid2hid: tuple, hid2out: tuple, hidden_biases: np.ndar...

the_stack_v2_python_sparse

population/utils/network_util/feed_forward_net.py

RubenPants/EvolvableRNN

train

1

50826f3b46679394d20b51871a15055e3995b33f

[ "self.home_team = home_team\nself.away_team = away_team\nself.games = []\nself.dates_scheduled = self._init_schedule_each_game_in_the_series(number_of_games=number_of_games, date_range=date_range)\nfor team in (home_team, away_team):\n team.season.schedule.upcoming_series.append(self)", "if self.dates_schedule...

<|body_start_0|> self.home_team = home_team self.away_team = away_team self.games = [] self.dates_scheduled = self._init_schedule_each_game_in_the_series(number_of_games=number_of_games, date_range=date_range) for team in (home_team, away_team): team.season.schedule.u...

A series of baseball games between two teams.

Series

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023850

17,124

no_license

[ { "docstring": "Initialize a Series object.", "name": "__init__", "signature": "def __init__(self, home_team, away_team, number_of_games, date_range)" }, { "docstring": "Return string representation.", "name": "__str__", "signature": "def __str__(self)" }, { "docstring": "Schedul...

4

stack_v2_sparse_classes_30k_train_002556

Implement the Python class `Series` described below. Class description: A series of baseball games between two teams. Method signatures and docstrings: - def __init__(self, home_team, away_team, number_of_games, date_range): Initialize a Series object. - def __str__(self): Return string representation. - def _init_sc...

78a9df3ff66d4956f817397c82be0b4e4176e73d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Series: """A series of baseball games between two teams.""" def __init__(self, home_team, away_team, number_of_games, date_range): """Initialize a Series object.""" self.home_team = home_team self.away_team = away_team self.games = [] self.dates_scheduled = self._i...

the_stack_v2_python_sparse

baseball/schedule.py

hanok2/national_pastime

train

1

1eeb59334fe6e03977e0ca1cc29e07c68d98149d

[ "self.driver = driver\nself.comp_name = comp_name\nself.element = self.get_component()", "lis = self.find_elems('.dwbw')\nfor li in lis:\n if li.text == name:\n li.click()\n break\n else:\n print('not found element %s' % name)", "lis = self.find_elems('.dwwc .dw-li.dw-v')\ndate = []\n...

日期选择框控件

DatePhonePage

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023851

3,884

no_license

[ { "docstring": "类初始化执行", "name": "__init__", "signature": "def __init__(self, driver, comp_name)" }, { "docstring": "日历选择框按钮", "name": "click_date_button", "signature": "def click_date_button(self, name)" }, { "docstring": "获取当前日期", "name": "get_now_date", "signature": "d...

6

null

Implement the Python class `DatePhonePage` described below. Class description: 日期选择框控件 Method signatures and docstrings: - def __init__(self, driver, comp_name): 类初始化执行 - def click_date_button(self, name): 日历选择框按钮 - def get_now_date(self): 获取当前日期 - def select_start_date(self): 选择开始时间 - def get_up_button(self): 获取向上箭头...

78768989a79a14013b983024cf6e4838d51ed595

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DatePhonePage: """日期选择框控件""" def __init__(self, driver, comp_name): """类初始化执行""" self.driver = driver self.comp_name = comp_name self.element = self.get_component() def click_date_button(self, name): """日历选择框按钮""" lis = self.find_elems('.dwbw') ...

the_stack_v2_python_sparse

test_case/page_obj/form/date_field_page.py

pylk/pythonSelenium

train

0

89f0a09e8b9a4be32c6062f42be4abe7115bd6f2

[ "for const_name in const_names:\n try:\n const_val = getattr(win32security, const_name)\n except AttributeError:\n try:\n const_val = getattr(ntsecuritycon, const_name)\n except AttributeError:\n try:\n const_val = getattr(winnt, const_name)\n ...

<|body_start_0|> for const_name in const_names: try: const_val = getattr(win32security, const_name) except AttributeError: try: const_val = getattr(ntsecuritycon, const_name) except AttributeError: tr...

Enum

[ "PSF-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023852

9,455

permissive

[ { "docstring": "Accepts variable number of constant names that can be found in either win32security, ntsecuritycon, or winnt.", "name": "__init__", "signature": "def __init__(self, *const_names)" }, { "docstring": "Looks up the name of a particular value.", "name": "lookup_name", "signat...

3

null

Implement the Python class `Enum` described below. Class description: Implement the Enum class. Method signatures and docstrings: - def __init__(self, *const_names): Accepts variable number of constant names that can be found in either win32security, ntsecuritycon, or winnt. - def lookup_name(self, const_val): Looks ...

2a7137f21965013020ef9e4f27565db6dea59003

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Enum: def __init__(self, *const_names): """Accepts variable number of constant names that can be found in either win32security, ntsecuritycon, or winnt.""" for const_name in const_names: try: const_val = getattr(win32security, const_name) except Attribut...

the_stack_v2_python_sparse

win32/Demos/security/security_enums.py

mhammond/pywin32

train

4,757

e8cf816e779fa625fa3f530a75311cfbdfcf19ad

[ "if not nums:\n return 0\nfor i in range(1, len(nums) - 1):\n if nums[i] < nums[i - 1] and nums[i] < nums[i + 1]:\n return nums[i]", "if not nums:\n return None\ni, j = (0, len(nums) - 1)\nwhile i < j:\n m = i + int((j - i) / 2)\n if nums[m] > nums[j]:\n i = m + 1\n elif nums[m] < ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023853

3,014

no_license

[ { "docstring": "查找旋转数组中最小的元素 :param nums: :return: 时间复杂度分析：时间复杂度O(N)", "name": "MinNumberInRotateArray", "signature": "def MinNumberInRotateArray(self, nums)" }, { "docstring": "查找旋转数组中最小的元素 :param nums: :return: 时间复杂度分析：时间复杂度O(logN)", "name": "MinNumberInRotateArrayPlus", "signature": "...

2

stack_v2_sparse_classes_30k_train_021205

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def MinNumberInRotateArray(self, nums): 查找旋转数组中最小的元素 :param nums: :return: 时间复杂度分析：时间复杂度O(N) - def MinNumberInRotateArrayPlus(self, nums): 查找旋转数组中最小的元素 :param nums: :return: 时间复杂...

32941ee052d0985a9569441d314378700ff4d225

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def MinNumberInRotateArray(self, nums): """查找旋转数组中最小的元素 :param nums: :return: 时间复杂度分析：时间复杂度O(N)""" if not nums: return 0 for i in range(1, len(nums) - 1): if nums[i] < nums[i - 1] and nums[i] < nums[i + 1]: return nums[i] def MinNu...

the_stack_v2_python_sparse

cecilia-python/剑指offer/chapter-2/MinNumberInRotateArray.py

Cecilia520/algorithmic-learning-leetcode

train

7

dd60017317397bffe70c4f533ce9bfd359ca7eab

[ "import collections\nmemo = collections.defaultdict(list)\n\ndef search(node, i):\n if not node:\n return\n memo[i].append(node)\n search(node.left, i + 1)\n search(node.right, i + 1)\nans = []\nfor i in memo:\n ans += memo[i]\nreturn ans", "if not data:\n return\nans = TreeNode(-10001)\n...

<|body_start_0|> import collections memo = collections.defaultdict(list) def search(node, i): if not node: return memo[i].append(node) search(node.left, i + 1) search(node.right, i + 1) ans = [] for i in memo: ...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023854

1,276

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:...

b6708b03c92ec92e89fc7ecf13f1995dee346657

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""" import collections memo = collections.defaultdict(list) def search(node, i): if not node: return memo[i].append(node) ...

the_stack_v2_python_sparse

297.py

yuzumei/leetcode

train

0

4055a0fddf260426ea44d429cc36846f033a63ac

[ "initNode = ListNode(None)\ninitNode.next = head\nslow, fast = (initNode, initNode)\nwhile fast and fast.next:\n slow, fast = (slow.next, fast.next.next)\n if slow == fast:\n while initNode != slow:\n initNode, slow = (initNode.next, slow.next)\n return slow\nreturn None", "try:\n ...

<|body_start_0|> initNode = ListNode(None) initNode.next = head slow, fast = (initNode, initNode) while fast and fast.next: slow, fast = (slow.next, fast.next.next) if slow == fast: while initNode != slow: initNode, slow = (init...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023855

3,141

permissive

[ { "docstring": ":type head: ListNode :rtype: ListNode", "name": "detectCycle", "signature": "def detectCycle(self, head)" }, { "docstring": ":type head: ListNode :rtype: ListNode", "name": "detectCycle_2", "signature": "def detectCycle_2(self, head)" } ]

2

stack_v2_sparse_classes_30k_train_007942

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def detectCycle(self, head): :type head: ListNode :rtype: ListNode - def detectCycle_2(self, head): :type head: ListNode :rtype: ListNode

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def detectCycle(self, head): :type head: ListNode :rtype: ListNode - def detectCycle_2(self, head): :type head: ListNode :rtype: ListNode <|skeleton|> class Solution: def d...

64863d9d284a72fa23bed40640f7229a0d904f5b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def detectCycle(self, head): """:type head: ListNode :rtype: ListNode""" initNode = ListNode(None) initNode.next = head slow, fast = (initNode, initNode) while fast and fast.next: slow, fast = (slow.next, fast.next.next) if slow == fast...

the_stack_v2_python_sparse

Linked List Cycle II.py

happyandy2017/LeetCode

train

0

a71dc3de2f560d8fc10e9a77e02967ac0aba6e83

[ "base_cmd = ['ceph', 'orch']\nif config.get('base_cmd_args'):\n base_cmd_args_str = config_dict_to_string(config.get('base_cmd_args'))\n base_cmd.append(base_cmd_args_str)\nbase_cmd.extend(['device', 'zap'])\npos_args = config['pos_args']\nnode = pos_args[0]\nhost_id = get_node_by_id(self.cluster, node)\nhost...

<|body_start_0|> base_cmd = ['ceph', 'orch'] if config.get('base_cmd_args'): base_cmd_args_str = config_dict_to_string(config.get('base_cmd_args')) base_cmd.append(base_cmd_args_str) base_cmd.extend(['device', 'zap']) pos_args = config['pos_args'] node = p...

Device

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Device: def zap(self, config: Dict) -> None: """Zap particular device Args: config (Dict): Zap configs Returns: output (Str), error (Str) returned by the command. Example:: command: zap base_cmd_args: verbose: true pos_args: - "node1" - "/dev/vdb" args: force: true""" <|body_0|> ...

stack_v2_sparse_classes_36k_train_023856

2,556

permissive

[ { "docstring": "Zap particular device Args: config (Dict): Zap configs Returns: output (Str), error (Str) returned by the command. Example:: command: zap base_cmd_args: verbose: true pos_args: - \"node1\" - \"/dev/vdb\" args: force: true", "name": "zap", "signature": "def zap(self, config: Dict) -> None...

2

null

Implement the Python class `Device` described below. Class description: Implement the Device class. Method signatures and docstrings: - def zap(self, config: Dict) -> None: Zap particular device Args: config (Dict): Zap configs Returns: output (Str), error (Str) returned by the command. Example:: command: zap base_cm...

0691fbaf8fca2a9cd051c5049c83758c65301654

<|skeleton|> class Device: def zap(self, config: Dict) -> None: """Zap particular device Args: config (Dict): Zap configs Returns: output (Str), error (Str) returned by the command. Example:: command: zap base_cmd_args: verbose: true pos_args: - "node1" - "/dev/vdb" args: force: true""" <|body_0|> ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Device: def zap(self, config: Dict) -> None: """Zap particular device Args: config (Dict): Zap configs Returns: output (Str), error (Str) returned by the command. Example:: command: zap base_cmd_args: verbose: true pos_args: - "node1" - "/dev/vdb" args: force: true""" base_cmd = ['ceph', 'orch...

the_stack_v2_python_sparse

ceph/ceph_admin/device.py

red-hat-storage/cephci

train

28

f6c09b1bc696e6442fc5cadacc3cfb9f90e04232

[ "self.times = times\nself.maxperson = persons[[0]]\nself.maxvote = [1]\nself.rec = {persons[0]: 1}\nfor i in range(1, len(times)):\n if persons[i] in self.rec:\n self.rec[persons[i]] += 1\n else:\n self.rec[persons[i]] = 1\n if self.rec[persons[i]] >= self.maxvote[i - 1]:\n self.maxvot...

<|body_start_0|> self.times = times self.maxperson = persons[[0]] self.maxvote = [1] self.rec = {persons[0]: 1} for i in range(1, len(times)): if persons[i] in self.rec: self.rec[persons[i]] += 1 else: self.rec[persons[i]] =...

TopVotedCandidate

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023857

2,492

no_license

[ { "docstring": ":type persons: List[int] :type times: List[int]", "name": "__init__", "signature": "def __init__(self, persons, times)" }, { "docstring": ":type t: int :rtype: int", "name": "q", "signature": "def q(self, t)" } ]

2

stack_v2_sparse_classes_30k_train_011567

Implement the Python class `TopVotedCandidate` described below. Class description: Implement the TopVotedCandidate class. Method signatures and docstrings: - def __init__(self, persons, times): :type persons: List[int] :type times: List[int] - def q(self, t): :type t: int :rtype: int

Implement the Python class `TopVotedCandidate` described below. Class description: Implement the TopVotedCandidate class. Method signatures and docstrings: - def __init__(self, persons, times): :type persons: List[int] :type times: List[int] - def q(self, t): :type t: int :rtype: int <|skeleton|> class TopVotedCandi...

f41348fd7da3b7af9f9b2df7c01457c7bed8ce0c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TopVotedCandidate: def __init__(self, persons, times): """:type persons: List[int] :type times: List[int]""" self.times = times self.maxperson = persons[[0]] self.maxvote = [1] self.rec = {persons[0]: 1} for i in range(1, len(times)): if persons[i] i...

the_stack_v2_python_sparse

LeetCode/Array/Online Election.py

mrunalhirve12/Python_CTCI-practise

train

3

da22399d92212c0be8c22adfd67d186592213355

[ "format_convert = {'headsUp': ['invite', 'Heads Up'], 'available': ['invite', 'Available?'], 'leave': ['leave', 'Left?'], 'return': ['return', 'Returned?'], 'info': ['info', None], 'broadcast': ['broadcast', None], 'test': ['test', 'Test']}\ninitial = {}\ninitial['author'] = self.request.user.pk\ninitial['type'] = ...

<|body_start_0|> format_convert = {'headsUp': ['invite', 'Heads Up'], 'available': ['invite', 'Available?'], 'leave': ['leave', 'Left?'], 'return': ['return', 'Returned?'], 'info': ['info', None], 'broadcast': ['broadcast', None], 'test': ['test', 'Test']} initial = {} initial['author'] = self.r...

MessageCreateBaseView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MessageCreateBaseView: def get_queryset(self): """Return context for standard paging.""" <|body_0|> def get_context_data(self, **kwargs): """Add additional useful information.""" <|body_1|> <|end_skeleton|> <|body_start_0|> format_convert = {'headsU...

stack_v2_sparse_classes_36k_train_023858

19,625

permissive

[ { "docstring": "Return context for standard paging.", "name": "get_queryset", "signature": "def get_queryset(self)" }, { "docstring": "Add additional useful information.", "name": "get_context_data", "signature": "def get_context_data(self, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_train_002713

Implement the Python class `MessageCreateBaseView` described below. Class description: Implement the MessageCreateBaseView class. Method signatures and docstrings: - def get_queryset(self): Return context for standard paging. - def get_context_data(self, **kwargs): Add additional useful information.

Implement the Python class `MessageCreateBaseView` described below. Class description: Implement the MessageCreateBaseView class. Method signatures and docstrings: - def get_queryset(self): Return context for standard paging. - def get_context_data(self, **kwargs): Add additional useful information. <|skeleton|> cla...

b988b6e41c786448c4a8a76c11397d195f802a26

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MessageCreateBaseView: def get_queryset(self): """Return context for standard paging.""" format_convert = {'headsUp': ['invite', 'Heads Up'], 'available': ['invite', 'Available?'], 'leave': ['leave', 'Left?'], 'return': ['return', 'Returned?'], 'info': ['info', None], 'broadcast': ['broadcast'...

the_stack_v2_python_sparse

main/views/message_views.py

BAMRU-Tech/bamru_net

train

7

86ef465c498e6512a8882563a753d6b876e12146

[ "super().__init__(n_var=search.num_vars, n_obj=search.num_obj, n_constr=search.search_params.num_constraints, xl=search.vars_lower, xu=search.vars_upper, type_var=search.type_var)\nself._search = search\nself._search_records = search.search_records\nself._elasticity_handler = self._search._elasticity_ctrl.multi_ela...

<|body_start_0|> super().__init__(n_var=search.num_vars, n_obj=search.num_obj, n_constr=search.search_params.num_constraints, xl=search.vars_lower, xu=search.vars_upper, type_var=search.type_var) self._search = search self._search_records = search.search_records self._elasticity_handler ...

Pymoo problem with design variables and evaluation methods.

SearchProblem

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SearchProblem: """Pymoo problem with design variables and evaluation methods.""" def __init__(self, search: SearchAlgorithm): """Initializes search problem :param search: search algorithm.""" <|body_0|> def _evaluate(self, x: List[float], out: Dict[str, Any], *args, **ka...

stack_v2_sparse_classes_36k_train_023859

23,022

permissive

[ { "docstring": "Initializes search problem :param search: search algorithm.", "name": "__init__", "signature": "def __init__(self, search: SearchAlgorithm)" }, { "docstring": "Evaluates a population of sub-networks. :param x: set of sub-networks to evaluate. :param out: measurements obtained by ...

3

null

Implement the Python class `SearchProblem` described below. Class description: Pymoo problem with design variables and evaluation methods. Method signatures and docstrings: - def __init__(self, search: SearchAlgorithm): Initializes search problem :param search: search algorithm. - def _evaluate(self, x: List[float], ...

c027c8b43c4865d46b8de01d8350dd338ec5a874

<|skeleton|> class SearchProblem: """Pymoo problem with design variables and evaluation methods.""" def __init__(self, search: SearchAlgorithm): """Initializes search problem :param search: search algorithm.""" <|body_0|> def _evaluate(self, x: List[float], out: Dict[str, Any], *args, **ka...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SearchProblem: """Pymoo problem with design variables and evaluation methods.""" def __init__(self, search: SearchAlgorithm): """Initializes search problem :param search: search algorithm.""" super().__init__(n_var=search.num_vars, n_obj=search.num_obj, n_constr=search.search_params.num_c...

the_stack_v2_python_sparse

nncf/experimental/torch/nas/bootstrapNAS/search/search.py

openvinotoolkit/nncf

train

558

97f609308acef6f319d15ca528eb04389b2f4d44

[ "s = ''\nqueue = [root]\nwhile queue:\n node = queue.pop(0)\n if node:\n s += str(node.val)\n queue.append(node.left)\n queue.append(node.right)\n else:\n s += '#'\n s += ' '\nreturn s", "s = data.split(',')\nif s[0] == '#':\n return None\nroot = TreeNode(int(s[0]))\nque...

<|body_start_0|> s = '' queue = [root] while queue: node = queue.pop(0) if node: s += str(node.val) queue.append(node.left) queue.append(node.right) else: s += '#' s += ' ' ret...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023860

4,066

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

stack_v2_sparse_classes_30k_train_009707

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:...

967b0fbb40ae491b552bc3365a481e66324cb6f2

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""" s = '' queue = [root] while queue: node = queue.pop(0) if node: s += str(node.val) queue.append(node.left) ...

the_stack_v2_python_sparse

leetcode/4_二叉树专题/10_二叉树的序列化与反序列化.py

ryanatgz/data_structure_and_algorithm

train

0

9dd439a6460486272b6c8148cee620a926b5507a

[ "for i in xrange(1, len(nums)):\n if i % 2 == 0 and nums[i] > nums[i - 1] or (i % 2 == 1 and nums[i] < nums[i - 1]):\n nums[i], nums[i - 1] = (nums[i - 1], nums[i])", "nums.sort()\nfor i in xrange((len(nums) - 1) / 2):\n nums[2 * i + 1], nums[2 * i + 2] = (nums[2 * i + 2], nums[2 * i + 1])" ]

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def wiggleSort(self, nums): """:type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.""" <|body_0|> def wiggleSort_nlogn(self, nums): """:type nums: List[int] :rtype: void Do not return anything, modify nums in-place instea...

stack_v2_sparse_classes_36k_train_023861

718

no_license

[ { "docstring": ":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.", "name": "wiggleSort", "signature": "def wiggleSort(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.", "name": "wi...

2

stack_v2_sparse_classes_30k_train_008644

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wiggleSort(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead. - def wiggleSort_nlogn(self, nums): :type nums: List[int] :rt...

ed15eb27936b39980d4cb5fb61cd937ec7ddcb6a

<|skeleton|> class Solution: def wiggleSort(self, nums): """:type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.""" <|body_0|> def wiggleSort_nlogn(self, nums): """:type nums: List[int] :rtype: void Do not return anything, modify nums in-place instea...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wiggleSort(self, nums): """:type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.""" for i in xrange(1, len(nums)): if i % 2 == 0 and nums[i] > nums[i - 1] or (i % 2 == 1 and nums[i] < nums[i - 1]): nums[i], nums[i - 1...

the_stack_v2_python_sparse

alice/LC280.py

AliceTTXu/LeetCode

train

0

0101cb4e170a8d168a24134fee231c0d44274d44

[ "LOG.debug('Plumbing VIP for loadbalancer id: %s', loadbalancer[constants.LOADBALANCER_ID])\nsession = db_apis.get_session()\nwith session.begin():\n db_lb = self.loadbalancer_repo.get(session, id=loadbalancer[constants.LOADBALANCER_ID])\namps_data = self.network_driver.plug_vip(db_lb, db_lb.vip)\nreturn [amp.to...

<|body_start_0|> LOG.debug('Plumbing VIP for loadbalancer id: %s', loadbalancer[constants.LOADBALANCER_ID]) session = db_apis.get_session() with session.begin(): db_lb = self.loadbalancer_repo.get(session, id=loadbalancer[constants.LOADBALANCER_ID]) amps_data = self.network_d...

Task to plumb a VIP.

PlugVIP

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023862

44,034

permissive

[ { "docstring": "Plumb a vip to an amphora.", "name": "execute", "signature": "def execute(self, loadbalancer)" }, { "docstring": "Handle a failure to plumb a vip.", "name": "revert", "signature": "def revert(self, result, loadbalancer, *args, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_train_003008

Implement the Python class `PlugVIP` described below. Class description: Task to plumb a VIP. Method signatures and docstrings: - def execute(self, loadbalancer): Plumb a vip to an amphora. - def revert(self, result, loadbalancer, *args, **kwargs): Handle a failure to plumb a vip.

Implement the Python class `PlugVIP` described below. Class description: Task to plumb a VIP. Method signatures and docstrings: - def execute(self, loadbalancer): Plumb a vip to an amphora. - def revert(self, result, loadbalancer, *args, **kwargs): Handle a failure to plumb a vip. <|skeleton|> class PlugVIP: """...

0426285a41464a5015494584f109eed35a0d44db

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PlugVIP: """Task to plumb a VIP.""" def execute(self, loadbalancer): """Plumb a vip to an amphora.""" LOG.debug('Plumbing VIP for loadbalancer id: %s', loadbalancer[constants.LOADBALANCER_ID]) session = db_apis.get_session() with session.begin(): db_lb = self.l...

the_stack_v2_python_sparse

octavia/controller/worker/v2/tasks/network_tasks.py

openstack/octavia

train

147

d2ebcd1db5a97e0d6b5f975d96d71b12d9fbcfa5

[ "if root == None:\n return []\nself.result = []\n\ndef dfs(root):\n if root.left:\n dfs(root.left)\n if root.right:\n dfs(root.right)\n self.result.append(root.val)\ndfs(root)\nreturn self.result", "if not root:\n return []\nstack = [root]\nres = []\nwhile stack:\n node = stack.pop...

<|body_start_0|> if root == None: return [] self.result = [] def dfs(root): if root.left: dfs(root.left) if root.right: dfs(root.right) self.result.append(root.val) dfs(root) return self.result <|end...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023863

1,509

no_license

[ { "docstring": ":type root: TreeNode :rtype: List[int] 32ms", "name": "postorderTraversal", "signature": "def postorderTraversal(self, root)" }, { "docstring": ":type root: TreeNode :rtype: List[int] 35ms", "name": "postorderTraversal_1", "signature": "def postorderTraversal_1(self, root...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def postorderTraversal(self, root): :type root: TreeNode :rtype: List[int] 32ms - def postorderTraversal_1(self, root): :type root: TreeNode :rtype: List[int] 35ms

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def postorderTraversal(self, root): :type root: TreeNode :rtype: List[int] 32ms - def postorderTraversal_1(self, root): :type root: TreeNode :rtype: List[int] 35ms <|skeleton|> ...

679a2b246b8b6bb7fc55ed1c8096d3047d6d4461

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def postorderTraversal(self, root): """:type root: TreeNode :rtype: List[int] 32ms""" if root == None: return [] self.result = [] def dfs(root): if root.left: dfs(root.left) if root.right: dfs(root.r...

the_stack_v2_python_sparse

BinaryTreePostorderTraversal_HARD_145.py

953250587/leetcode-python

train

2

19e99262d23ee6ce91c7c10710212dc0c1f9c538

[ "super(DirectEncodingModelTrainable, self).__init__(trainable=True, dtype=dtype)\nself.run_eagerly = run_eagerly\nnodes, connections, node_dependencies = _process_genotype(genotype)\nself.topology_levels = tuple(toposort(node_dependencies))\nnode_coordinates = _create_node_coordinates(self.topology_levels)\nself.cu...

<|body_start_0|> super(DirectEncodingModelTrainable, self).__init__(trainable=True, dtype=dtype) self.run_eagerly = run_eagerly nodes, connections, node_dependencies = _process_genotype(genotype) self.topology_levels = tuple(toposort(node_dependencies)) node_coordinates = _create...

Tensorflow model that builds a (exclusively) feed-forward topology with custom set connection weights and node biases/activations from the supplied genotype in the constructor. The built Tensorflow model is fully compatible with the rest of the Tensorflow infrastructure and supports static-graph building, auto-gradient...

DirectEncodingModelTrainable

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DirectEncodingModelTrainable: """Tensorflow model that builds a (exclusively) feed-forward topology with custom set connection weights and node biases/activations from the supplied genotype in the constructor. The built Tensorflow model is fully compatible with the rest of the Tensorflow infrastr...

stack_v2_sparse_classes_36k_train_023864

17,744

no_license

[ { "docstring": "Creates the trainable feed-forward Tensorflow model out of the supplied genotype with custom parameters :param genotype: genotype dict with the keys being the gene-ids and the values being the genes :param dtype: Tensorflow datatype of the model :param run_eagerly: bool flag if model should be r...

2

null

Implement the Python class `DirectEncodingModelTrainable` described below. Class description: Tensorflow model that builds a (exclusively) feed-forward topology with custom set connection weights and node biases/activations from the supplied genotype in the constructor. The built Tensorflow model is fully compatible w...

21b290cf548e82ca91b761a6a7bd876e136e429b

<|skeleton|> class DirectEncodingModelTrainable: """Tensorflow model that builds a (exclusively) feed-forward topology with custom set connection weights and node biases/activations from the supplied genotype in the constructor. The built Tensorflow model is fully compatible with the rest of the Tensorflow infrastr...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DirectEncodingModelTrainable: """Tensorflow model that builds a (exclusively) feed-forward topology with custom set connection weights and node biases/activations from the supplied genotype in the constructor. The built Tensorflow model is fully compatible with the rest of the Tensorflow infrastructure and su...

the_stack_v2_python_sparse

ML/Tensorflow-Neuroevolution-master/neuroevolution/encodings/direct/direct_encoding_model.py

actuarial-tools/PythonStuff

train

0

3205407c2ea11c8216c971e2491bac6e221987ab

[ "self.l = []\ni = 0\nwhile i < max(len(v1), len(v2)):\n if i < len(v1):\n self.l.append(v1[i])\n if i < len(v2):\n self.l.append(v2[i])\n i = i + 1\nself.index = 0", "nextEle = self.l[self.index]\nself.index = self.index + 1\nreturn nextEle", "if self.index < len(self.l):\n return True...

ZigzagIterator

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023865

970

no_license

[ { "docstring": "Initialize your data structure here. :type v1: List[int] :type v2: List[int]", "name": "__init__", "signature": "def __init__(self, v1, v2)" }, { "docstring": ":rtype: int", "name": "next", "signature": "def next(self)" }, { "docstring": ":rtype: bool", "name"...

3

null

Implement the Python class `ZigzagIterator` described below. Class description: Implement the ZigzagIterator class. Method signatures and docstrings: - def __init__(self, v1, v2): Initialize your data structure here. :type v1: List[int] :type v2: List[int] - def next(self): :rtype: int - def hasNext(self): :rtype: bo...

0a2e0e4a5176c02910d7718c42903d10a6c47a5f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ZigzagIterator: def __init__(self, v1, v2): """Initialize your data structure here. :type v1: List[int] :type v2: List[int]""" self.l = [] i = 0 while i < max(len(v1), len(v2)): if i < len(v1): self.l.append(v1[i]) if i < len(v2): ...

the_stack_v2_python_sparse

Zigzag_Iterator.py

baichuan/Leetcode

train

0

448f28490b971ebb275ae907aaebf4bf24574612

[ "super(TriggerablePlatform, self).__init__(*groups)\nself.bouncepwr = bpwr\nif bouncy:\n self.activeimg = platgen.generate(size, 32, image)\nelse:\n self.activeimg = platgen.generate(size, 0, image)\nself.inactiveimg = platgen.generate(size, 64, image)\nif active:\n self.image = self.activeimg\nelse:\n ...

<|body_start_0|> super(TriggerablePlatform, self).__init__(*groups) self.bouncepwr = bpwr if bouncy: self.activeimg = platgen.generate(size, 32, image) else: self.activeimg = platgen.generate(size, 0, image) self.inactiveimg = platgen.generate(size, 64, im...

Represents a mobile platform that can be triggered inherits properties from MobilePlatform

TriggerablePlatform

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TriggerablePlatform: """Represents a mobile platform that can be triggered inherits properties from MobilePlatform""" def __init__(self, x, y, vertical, bpwr, spd, size, active, identifier, *groups, game, bouncy=False, image): """Default Constructor Keyword Arguments: - x: The x coor...

stack_v2_sparse_classes_36k_train_023866

3,467

permissive

[ { "docstring": "Default Constructor Keyword Arguments: - x: The x coord of the top left corner - y: The y coord of the top left corner - *groups: A collection of sprite groups to add the item to. - game: The game istance. Returns: - Nothing", "name": "__init__", "signature": "def __init__(self, x, y, ve...

2

stack_v2_sparse_classes_30k_train_009192

Implement the Python class `TriggerablePlatform` described below. Class description: Represents a mobile platform that can be triggered inherits properties from MobilePlatform Method signatures and docstrings: - def __init__(self, x, y, vertical, bpwr, spd, size, active, identifier, *groups, game, bouncy=False, image...

0363fc368af205d1e829b2556ad70797930c10bd

<|skeleton|> class TriggerablePlatform: """Represents a mobile platform that can be triggered inherits properties from MobilePlatform""" def __init__(self, x, y, vertical, bpwr, spd, size, active, identifier, *groups, game, bouncy=False, image): """Default Constructor Keyword Arguments: - x: The x coor...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TriggerablePlatform: """Represents a mobile platform that can be triggered inherits properties from MobilePlatform""" def __init__(self, x, y, vertical, bpwr, spd, size, active, identifier, *groups, game, bouncy=False, image): """Default Constructor Keyword Arguments: - x: The x coord of the top ...

the_stack_v2_python_sparse

Game/components/triggerableplatform.py

Penaz91/Glitch_Heaven

train

2

0504f41290485fdeb5307414196794355a805cd1

[ "if n == 0:\n return\nif n == 1:\n matrix[y][x] = count\n return\nfor i in range(x, x + n):\n matrix[y][i] = count\n count += 1\nfor i in range(y + 1, y + n - 1):\n matrix[i][x + n - 1] = count\n count += 1\nfor i in range(x, x + n)[::-1]:\n matrix[y + n - 1][i] = count\n count += 1\nfor ...

<|body_start_0|> if n == 0: return if n == 1: matrix[y][x] = count return for i in range(x, x + n): matrix[y][i] = count count += 1 for i in range(y + 1, y + n - 1): matrix[i][x + n - 1] = count count += ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023867

1,093

no_license

[ { "docstring": ":type i: int :type j: int :type n: int :type index: int :type matrix: List[List[int]]", "name": "generateSubMatrix", "signature": "def generateSubMatrix(self, x, y, n, count, matrix)" }, { "docstring": ":type n: int :rtype: List[List[int]]", "name": "generateMatrix", "sig...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def generateSubMatrix(self, x, y, n, count, matrix): :type i: int :type j: int :type n: int :type index: int :type matrix: List[List[int]] - def generateMatrix(self, n): :type n:...

052bd7915257679877dbe55b60ed1abb7528eaa2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def generateSubMatrix(self, x, y, n, count, matrix): """:type i: int :type j: int :type n: int :type index: int :type matrix: List[List[int]]""" if n == 0: return if n == 1: matrix[y][x] = count return for i in range(x, x + n): ...

the_stack_v2_python_sparse

python_solution/Array/59_SpiralMatrixII.py

Dimen61/leetcode

train

4

e578a369edf64f61418bc0d07009cb278ce335b9

[ "if '_xml_ns' in kwargs:\n self._xml_ns = kwargs['_xml_ns']\nif '_xml_ns_key' in kwargs:\n self._xml_ns_key = kwargs['_xml_ns_key']\nself.ModeID = ModeID\nself.ModeType = ModeType\nsuper(RadarModeType, self).__init__(**kwargs)", "mode = self.ModeType\nif mode == 'SPOTLIGHT':\n return 'SL'\nelif mode == '...

<|body_start_0|> if '_xml_ns' in kwargs: self._xml_ns = kwargs['_xml_ns'] if '_xml_ns_key' in kwargs: self._xml_ns_key = kwargs['_xml_ns_key'] self.ModeID = ModeID self.ModeType = ModeType super(RadarModeType, self).__init__(**kwargs) <|end_body_0|> <|bod...

Radar mode type container class

RadarModeType

[ "MIT", "LicenseRef-scancode-free-unknown", "LicenseRef-scancode-public-domain" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RadarModeType: """Radar mode type container class""" def __init__(self, ModeType: str=None, ModeID: Optional[str]=None, **kwargs): """Parameters ---------- ModeType : str ModeID : None|str kwargs""" <|body_0|> def get_mode_abbreviation(self) -> str: """Get the mo...

stack_v2_sparse_classes_36k_train_023868

5,859

permissive

[ { "docstring": "Parameters ---------- ModeType : str ModeID : None|str kwargs", "name": "__init__", "signature": "def __init__(self, ModeType: str=None, ModeID: Optional[str]=None, **kwargs)" }, { "docstring": "Get the mode abbreviation for the suggested name. Returns ------- str", "name": "...

2

stack_v2_sparse_classes_30k_train_021668

Implement the Python class `RadarModeType` described below. Class description: Radar mode type container class Method signatures and docstrings: - def __init__(self, ModeType: str=None, ModeID: Optional[str]=None, **kwargs): Parameters ---------- ModeType : str ModeID : None|str kwargs - def get_mode_abbreviation(sel...

de1b1886f161a83b6c89aadc7a2c7cfc4892ef81

<|skeleton|> class RadarModeType: """Radar mode type container class""" def __init__(self, ModeType: str=None, ModeID: Optional[str]=None, **kwargs): """Parameters ---------- ModeType : str ModeID : None|str kwargs""" <|body_0|> def get_mode_abbreviation(self) -> str: """Get the mo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RadarModeType: """Radar mode type container class""" def __init__(self, ModeType: str=None, ModeID: Optional[str]=None, **kwargs): """Parameters ---------- ModeType : str ModeID : None|str kwargs""" if '_xml_ns' in kwargs: self._xml_ns = kwargs['_xml_ns'] if '_xml_ns_k...

the_stack_v2_python_sparse

sarpy/io/complex/sicd_elements/CollectionInfo.py

ngageoint/sarpy

train

192

facb5ecea462c1055b90074afe0e5eee2dc35a9c

[ "super(SelfAttnLayer, self).__init__()\nself.channel_in = in_dim\nself.query_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim // 8, kernel_size=1)\nself.key_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim // 8, kernel_size=1)\nself.value_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim, ker...

<|body_start_0|> super(SelfAttnLayer, self).__init__() self.channel_in = in_dim self.query_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim // 8, kernel_size=1) self.key_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim // 8, kernel_size=1) self.value_conv = nn.Con...

Self-Attention Layer This type of layer was proposed by: Zhang et al., "Self-Attention Generative Adversarial Networks", 2018 https://arxiv.org/abs/1805.08318 The goal is to capture global correlations in convolutional networks (such as generators and discriminators in GANs).

SelfAttnLayer

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SelfAttnLayer: """Self-Attention Layer This type of layer was proposed by: Zhang et al., "Self-Attention Generative Adversarial Networks", 2018 https://arxiv.org/abs/1805.08318 The goal is to capture global correlations in convolutional networks (such as generators and discriminators in GANs)."""...

stack_v2_sparse_classes_36k_train_023869

11,615

permissive

[ { "docstring": "Initialize self-attention layer. Args: in_dim: Number of input channels (C). use_spectral_norm: Enable spectral normalization for all 1x1 conv. layers.", "name": "__init__", "signature": "def __init__(self, in_dim, use_spectral_norm)" }, { "docstring": "Compute and apply attentio...

2

stack_v2_sparse_classes_30k_train_015660

Implement the Python class `SelfAttnLayer` described below. Class description: Self-Attention Layer This type of layer was proposed by: Zhang et al., "Self-Attention Generative Adversarial Networks", 2018 https://arxiv.org/abs/1805.08318 The goal is to capture global correlations in convolutional networks (such as gen...

e32567889f772f8de783a437ff0beb2d426bc7b6

<|skeleton|> class SelfAttnLayer: """Self-Attention Layer This type of layer was proposed by: Zhang et al., "Self-Attention Generative Adversarial Networks", 2018 https://arxiv.org/abs/1805.08318 The goal is to capture global correlations in convolutional networks (such as generators and discriminators in GANs)."""...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SelfAttnLayer: """Self-Attention Layer This type of layer was proposed by: Zhang et al., "Self-Attention Generative Adversarial Networks", 2018 https://arxiv.org/abs/1805.08318 The goal is to capture global correlations in convolutional networks (such as generators and discriminators in GANs).""" def __i...

the_stack_v2_python_sparse

utils/self_attention_layer.py

chrhenning/hypercl

train

148

6f5f9de9c3ff9f3ff37e76660fd3d93a701d479f

[ "self.mb_dir_path.mkdir(parents=True, exist_ok=True)\nfor i in range(self.n_boxes):\n mb_path = self.path_to_mailbox(i)\n with mb_path.open('w') as fh:\n fh.write(header)", "if index_name is None:\n start = '\\t'\nelse:\n start = f'{index_name}\\t'\ncolstring = '\\t'.join(columns)\nself.mb_dir_...

Pass data to and from on-disk FIFOs.

DataMailboxes

[ "BSD-3-Clause", "LicenseRef-scancode-proprietary-license" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DataMailboxes: """Pass data to and from on-disk FIFOs.""" def write_headers(self, header): """Initialize the mailboxes, writing a free-form header.""" <|body_0|> def write_tsv_headers(self, columns, index_name=None): """Initialize the mailboxes, writing a tab-sep...

stack_v2_sparse_classes_36k_train_023870

7,728

permissive

[ { "docstring": "Initialize the mailboxes, writing a free-form header.", "name": "write_headers", "signature": "def write_headers(self, header)" }, { "docstring": "Initialize the mailboxes, writing a tab-separated header.", "name": "write_tsv_headers", "signature": "def write_tsv_headers(...

6

stack_v2_sparse_classes_30k_train_018936

Implement the Python class `DataMailboxes` described below. Class description: Pass data to and from on-disk FIFOs. Method signatures and docstrings: - def write_headers(self, header): Initialize the mailboxes, writing a free-form header. - def write_tsv_headers(self, columns, index_name=None): Initialize the mailbox...

90b6f52d9208458053001e49a9537cd9870c5f15

<|skeleton|> class DataMailboxes: """Pass data to and from on-disk FIFOs.""" def write_headers(self, header): """Initialize the mailboxes, writing a free-form header.""" <|body_0|> def write_tsv_headers(self, columns, index_name=None): """Initialize the mailboxes, writing a tab-sep...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DataMailboxes: """Pass data to and from on-disk FIFOs.""" def write_headers(self, header): """Initialize the mailboxes, writing a free-form header.""" self.mb_dir_path.mkdir(parents=True, exist_ok=True) for i in range(self.n_boxes): mb_path = self.path_to_mailbox(i) ...

the_stack_v2_python_sparse

azulejo/mailboxes.py

legumeinfo/azulejo

train

0

514d681b79e1811b3d17e3d565fc98414f59eedf

[ "if not s:\n return False\nss = (s + s)[1:-1]\nreturn ss.find(s) != -1", "if not s:\n return False\nsub, j = (s[0], 0)\nfor i, c in enumerate(s):\n if c == sub[j % len(sub)]:\n j += 1\n else:\n sub = s[:i + 1]\n j = 0\nreturn len(sub) < len(s) and j % len(sub) == 0", "if not s:\...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023871

3,316

no_license

[ { "docstring": ":type s: str :rtype: bool", "name": "repeatedSubstringPattern", "signature": "def repeatedSubstringPattern(self, s)" }, { "docstring": ":type s: str :rtype: bool", "name": "repeatedSubstringPattern2", "signature": "def repeatedSubstringPattern2(self, s)" }, { "doc...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def repeatedSubstringPattern(self, s): :type s: str :rtype: bool - def repeatedSubstringPattern2(self, s): :type s: str :rtype: bool - def repeatedSubstringPattern3(self, s): :ty...

635af6e22aa8eef8e7920a585d43a45a891a8157

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def repeatedSubstringPattern(self, s): """:type s: str :rtype: bool""" if not s: return False ss = (s + s)[1:-1] return ss.find(s) != -1 def repeatedSubstringPattern2(self, s): """:type s: str :rtype: bool""" if not s: retu...

the_stack_v2_python_sparse

code459RepeatedSubstringPattern.py

cybelewang/leetcode-python

train

0

115881270c9a6b91a26525ad132683a72c43199d

[ "session = Session()\ntry:\n organization_it_asset = find_organization_it_asset(it_asset_instance_id, organization_code, session)\n if organization_it_asset is None:\n raise falcon.HTTPNotFound()\n query = session.query(OrganizationItAssetControl).join(OrganizationITAsset).join(MitigationControl).fi...

<|body_start_0|> session = Session() try: organization_it_asset = find_organization_it_asset(it_asset_instance_id, organization_code, session) if organization_it_asset is None: raise falcon.HTTPNotFound() query = session.query(OrganizationItAssetContro...

GET and POST mitigation controls for organization IT assets.

Collection

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Collection: """GET and POST mitigation controls for organization IT assets.""" def on_get(self, req, resp, organization_code, it_asset_instance_id): """List mitigation controls for an organization IT asset. :param req: See Falcon Request documentation. :param resp: See Falcon Respons...

stack_v2_sparse_classes_36k_train_023872

6,975

no_license

[ { "docstring": "List mitigation controls for an organization IT asset. :param req: See Falcon Request documentation. :param resp: See Falcon Response documentation. :param organization_code: The code of the organization. :param it_asset_instance_id: The id of the IT asset instance.", "name": "on_get", "...

2

stack_v2_sparse_classes_30k_train_017288

Implement the Python class `Collection` described below. Class description: GET and POST mitigation controls for organization IT assets. Method signatures and docstrings: - def on_get(self, req, resp, organization_code, it_asset_instance_id): List mitigation controls for an organization IT asset. :param req: See Falc...

62723133595829230e5b589431a32cda3b092460

<|skeleton|> class Collection: """GET and POST mitigation controls for organization IT assets.""" def on_get(self, req, resp, organization_code, it_asset_instance_id): """List mitigation controls for an organization IT asset. :param req: See Falcon Request documentation. :param resp: See Falcon Respons...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Collection: """GET and POST mitigation controls for organization IT assets.""" def on_get(self, req, resp, organization_code, it_asset_instance_id): """List mitigation controls for an organization IT asset. :param req: See Falcon Request documentation. :param resp: See Falcon Response documentati...

the_stack_v2_python_sparse

knoweak/api/resources/organization_it_asset_control.py

psvaiter/knoweak-api

train

0

9124c4aad50d04b9f2c93ede29828cd02f3fe9e9

[ "bboxes = []\nfor i in range(len(ocr_results['text'])):\n detected_text = ocr_results['text'][i]\n if detected_text:\n bbox = {'left': ocr_results['left'][i], 'top': ocr_results['top'][i], 'width': ocr_results['width'][i], 'height': ocr_results['height'][i], 'conf': float(ocr_results['conf'][i]), 'labe...

<|body_start_0|> bboxes = [] for i in range(len(ocr_results['text'])): detected_text = ocr_results['text'][i] if detected_text: bbox = {'left': ocr_results['left'][i], 'top': ocr_results['top'][i], 'width': ocr_results['width'][i], 'height': ocr_results['height'][...

Common module for general bounding box operators.

BboxProcessor

[ "Apache-2.0", "LicenseRef-scancode-public-domain", "BSD-2-Clause", "BSD-3-Clause", "Unlicense", "LicenseRef-scancode-proprietary-license", "LicenseRef-scancode-warranty-disclaimer", "CNRI-Python", "MIT", "LicenseRef-scancode-secret-labs-2011", "LicenseRef-scancode-generic-cla" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BboxProcessor: """Common module for general bounding box operators.""" def get_bboxes_from_ocr_results(self, ocr_results: Dict[str, List[Union[int, str]]]) -> List[Dict[str, Union[int, float, str]]]: """Get bounding boxes on padded image for all detected words from ocr_results. :para...

stack_v2_sparse_classes_36k_train_023873

4,970

permissive

[ { "docstring": "Get bounding boxes on padded image for all detected words from ocr_results. :param ocr_results: Raw results from OCR. :return: Bounding box information per word.", "name": "get_bboxes_from_ocr_results", "signature": "def get_bboxes_from_ocr_results(self, ocr_results: Dict[str, List[Union...

4

null

Implement the Python class `BboxProcessor` described below. Class description: Common module for general bounding box operators. Method signatures and docstrings: - def get_bboxes_from_ocr_results(self, ocr_results: Dict[str, List[Union[int, str]]]) -> List[Dict[str, Union[int, float, str]]]: Get bounding boxes on pa...

3effc1467b8714714d5112ef7b627889507ea83d

<|skeleton|> class BboxProcessor: """Common module for general bounding box operators.""" def get_bboxes_from_ocr_results(self, ocr_results: Dict[str, List[Union[int, str]]]) -> List[Dict[str, Union[int, float, str]]]: """Get bounding boxes on padded image for all detected words from ocr_results. :para...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BboxProcessor: """Common module for general bounding box operators.""" def get_bboxes_from_ocr_results(self, ocr_results: Dict[str, List[Union[int, str]]]) -> List[Dict[str, Union[int, float, str]]]: """Get bounding boxes on padded image for all detected words from ocr_results. :param ocr_results...

the_stack_v2_python_sparse

presidio-image-redactor/presidio_image_redactor/bbox.py

microsoft/presidio

train

2,092

531ce051d2812f664f6547071c342c7ce61a77e3

[ "super(DialogComControlDeviceExecute1, self).__init__(parent)\nself.setupUi(self)\nself.flag = 1", "try:\n self.setWindowTitle(title)\n self.textBrowser_contents.setText(contents)\n if os.path.isfile(img_file_path) and os.access(img_file_path, os.W_OK):\n self.label_img.setPixmap(QtGui.QPixmap(img...

Class documentation goes here.

DialogComControlDeviceExecute1

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DialogComControlDeviceExecute1: """Class documentation goes here.""" def __init__(self, parent=None): """Constructor @param parent reference to the parent widget @type QWidget""" <|body_0|> def set_contents(self, title, contents, img_file_path): """set gui displa...

stack_v2_sparse_classes_36k_train_023874

3,242

no_license

[ { "docstring": "Constructor @param parent reference to the parent widget @type QWidget", "name": "__init__", "signature": "def __init__(self, parent=None)" }, { "docstring": "set gui display information :param title: dialog window title :param contents: dialog content browser information :param ...

4

stack_v2_sparse_classes_30k_train_004009

Implement the Python class `DialogComControlDeviceExecute1` described below. Class description: Class documentation goes here. Method signatures and docstrings: - def __init__(self, parent=None): Constructor @param parent reference to the parent widget @type QWidget - def set_contents(self, title, contents, img_file_...

57dd2197e7d91b8ad8fb2bd0e3503f10afa08544

<|skeleton|> class DialogComControlDeviceExecute1: """Class documentation goes here.""" def __init__(self, parent=None): """Constructor @param parent reference to the parent widget @type QWidget""" <|body_0|> def set_contents(self, title, contents, img_file_path): """set gui displa...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DialogComControlDeviceExecute1: """Class documentation goes here.""" def __init__(self, parent=None): """Constructor @param parent reference to the parent widget @type QWidget""" super(DialogComControlDeviceExecute1, self).__init__(parent) self.setupUi(self) self.flag = 1 ...

the_stack_v2_python_sparse

modules/com_control_device_new/COM_CONTROL_DEVICE_EXECUTE1.py

gaoxingyu-hub/54testframework-master-e284

train

0

2f8d532beb5cc70f39190ce76123811416b0c7ad

[ "super(BasicSt, self).__init__(input_file=input_file, params=params, BaselevelHandlerClass=BaselevelHandlerClass)\nK_sp = self.get_parameter_from_exponent('K_stochastic_sp', raise_error=False)\nK_ss = self.get_parameter_from_exponent('K_stochastic_ss', raise_error=False)\nlinear_diffusivity = self._length_factor **...

<|body_start_0|> super(BasicSt, self).__init__(input_file=input_file, params=params, BaselevelHandlerClass=BaselevelHandlerClass) K_sp = self.get_parameter_from_exponent('K_stochastic_sp', raise_error=False) K_ss = self.get_parameter_from_exponent('K_stochastic_ss', raise_error=False) li...

A StochasticHortonianSPModel generates a random sequency of runoff events across a topographic surface, calculating the resulting water discharge at each node.

BasicSt

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BasicSt: """A StochasticHortonianSPModel generates a random sequency of runoff events across a topographic surface, calculating the resulting water discharge at each node.""" def __init__(self, input_file=None, params=None, BaselevelHandlerClass=None): """Initialize the StochasticDis...

stack_v2_sparse_classes_36k_train_023875

6,932

permissive

[ { "docstring": "Initialize the StochasticDischargeHortonianModel.", "name": "__init__", "signature": "def __init__(self, input_file=None, params=None, BaselevelHandlerClass=None)" }, { "docstring": "Calculate runoff rate and discharge; return runoff.", "name": "calc_runoff_and_discharge", ...

3

stack_v2_sparse_classes_30k_val_000207

Implement the Python class `BasicSt` described below. Class description: A StochasticHortonianSPModel generates a random sequency of runoff events across a topographic surface, calculating the resulting water discharge at each node. Method signatures and docstrings: - def __init__(self, input_file=None, params=None, ...

1b756477b8a8ab6a8f1275b1b30ec84855c840ea

<|skeleton|> class BasicSt: """A StochasticHortonianSPModel generates a random sequency of runoff events across a topographic surface, calculating the resulting water discharge at each node.""" def __init__(self, input_file=None, params=None, BaselevelHandlerClass=None): """Initialize the StochasticDis...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BasicSt: """A StochasticHortonianSPModel generates a random sequency of runoff events across a topographic surface, calculating the resulting water discharge at each node.""" def __init__(self, input_file=None, params=None, BaselevelHandlerClass=None): """Initialize the StochasticDischargeHortoni...

the_stack_v2_python_sparse

terrainbento/derived_models/model_100_basicSt/model_100_basicSt.py

mcflugen/terrainbento

train

0

8af40f54ae1e25fee10666d8b576f84e25c4620e

[ "d = {'}': '{', ']': '[', ')': '('}\nstack = []\nfor i in s:\n if d.get(i) is not None:\n if len(stack) == 0 or stack.pop() != d[i]:\n return False\n else:\n stack.append(i)\nif len(stack) == 0:\n return True\nelse:\n return False", "d = {'}': '{', ']': '[', ')': '('}\nl = lis...

<|body_start_0|> d = {'}': '{', ']': '[', ')': '('} stack = [] for i in s: if d.get(i) is not None: if len(stack) == 0 or stack.pop() != d[i]: return False else: stack.append(i) if len(stack) == 0: re...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def isValid(self, s): """:type s: str :rtype: bool""" <|body_0|> def other(self, s): """:type s: str :rtype: bool""" <|body_1|> <|end_skeleton|> <|body_start_0|> d = {'}': '{', ']': '[', ')': '('} stack = [] for i in s: ...

stack_v2_sparse_classes_36k_train_023876

956

no_license

[ { "docstring": ":type s: str :rtype: bool", "name": "isValid", "signature": "def isValid(self, s)" }, { "docstring": ":type s: str :rtype: bool", "name": "other", "signature": "def other(self, s)" } ]

2

stack_v2_sparse_classes_30k_train_014640

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 other(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 other(self, s): :type s: str :rtype: bool <|skeleton|> class Solution: def isValid(self, s): """:type s: str :...

e178f91ebffff06977e8c231de12786a72b3b13d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isValid(self, s): """:type s: str :rtype: bool""" d = {'}': '{', ']': '[', ')': '('} stack = [] for i in s: if d.get(i) is not None: if len(stack) == 0 or stack.pop() != d[i]: return False else: ...

the_stack_v2_python_sparse

iamsochun/Leetcode20.py

moonlight035/algorithm

train

0

82ea97fda35a73a90211cce9eddc296271183195

[ "for i in range(self.start, len(self.A)):\n if self.A[i].state == state:\n return self.A[i]", "for i in range(self.start, len(self.A)):\n if self.A[i].state == node.state:\n return True" ]

MyFIFOQueue

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023877

4,831

no_license

[ { "docstring": "Returns node in queue with matching state", "name": "getNode", "signature": "def getNode(self, state)" }, { "docstring": "Returns boolean if there is node in queue with matching state. The implementation in utils.py is very slow.", "name": "__contains__", "signature": "de...

2

stack_v2_sparse_classes_30k_train_020870

Implement the Python class `MyFIFOQueue` described below. Class description: Implement the MyFIFOQueue class. Method signatures and docstrings: - def getNode(self, state): Returns node in queue with matching state - def __contains__(self, node): Returns boolean if there is node in queue with matching state. The imple...

6f774d6e2d8051ba76d3c25cbf247bdbe4849ff3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MyFIFOQueue: def getNode(self, state): """Returns node in queue with matching state""" for i in range(self.start, len(self.A)): if self.A[i].state == state: return self.A[i] def __contains__(self, node): """Returns boolean if there is node in queue with...

the_stack_v2_python_sparse

weekly_inclass_coding/week9/maps/bidirectional.py

iamzhanghao/AI_Projects

train

2

116e3bbeeca9757070add1533ca0a34779a6ee66

[ "student_id = g.user_id\nargs = request.args\nprint(args)\ntry:\n args = MonthDaySchema().load(args)\nexcept marshmallow.exceptions.ValidationError as e:\n print(e.messages)\n return ({'message': '파라미터 값이 유효하지 않습니다.'}, 400)\nstudent, school = get_identify() or (None, None)\nif student is None:\n return ...

<|body_start_0|> student_id = g.user_id args = request.args print(args) try: args = MonthDaySchema().load(args) except marshmallow.exceptions.ValidationError as e: print(e.messages) return ({'message': '파라미터 값이 유효하지 않습니다.'}, 400) studen...

RatingFavoriteAll

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023878

3,023

no_license

[ { "docstring": "모든 즐겨찾기 리스트 보여줌 :return: 200 : OK 400 : 파라미터 무효 401 : 회원정보 이상", "name": "get", "signature": "def get(self)" }, { "docstring": "모든 즐겨찾기 삭제 :return: 200 : OK 401 : 회원정보 이상 404 : 좋아하는 메뉴가 없었음", "name": "delete", "signature": "def delete(self)" } ]

2

stack_v2_sparse_classes_30k_train_013542

Implement the Python class `RatingFavoriteAll` described below. Class description: Implement the RatingFavoriteAll class. Method signatures and docstrings: - def get(self): 모든 즐겨찾기 리스트 보여줌 :return: 200 : OK 400 : 파라미터 무효 401 : 회원정보 이상 - def delete(self): 모든 즐겨찾기 삭제 :return: 200 : OK 401 : 회원정보 이상 404 : 좋아하는 메뉴가 없었음

Implement the Python class `RatingFavoriteAll` described below. Class description: Implement the RatingFavoriteAll class. Method signatures and docstrings: - def get(self): 모든 즐겨찾기 리스트 보여줌 :return: 200 : OK 400 : 파라미터 무효 401 : 회원정보 이상 - def delete(self): 모든 즐겨찾기 삭제 :return: 200 : OK 401 : 회원정보 이상 404 : 좋아하는 메뉴가 없었음 ...

6195b3e6b5ac7e5b5f1b6c23c14393b3d85b9b61

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RatingFavoriteAll: def get(self): """모든 즐겨찾기 리스트 보여줌 :return: 200 : OK 400 : 파라미터 무효 401 : 회원정보 이상""" student_id = g.user_id args = request.args print(args) try: args = MonthDaySchema().load(args) except marshmallow.exceptions.ValidationError as e: ...

the_stack_v2_python_sparse

app/meals/v1/api/RatingFavoriteAll.py

ApertureInDimigo/meal-backend

train

0

0d52b4124a32a9b2b5601e1aeb8b955765c9cdd9

[ "if not head:\n return False\nfirst = head\nsecond = head.next.next if head.next else None\nif not second:\n return False\nwhile first != second:\n first = first.next\n second = second.next.next if second.next else None\n if not second:\n return False\nreturn True", "fwd = ohead = head\ncnt ...

<|body_start_0|> if not head: return False first = head second = head.next.next if head.next else None if not second: return False while first != second: first = first.next second = second.next.next if second.next else None ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023879

2,391

no_license

[ { "docstring": ":type head: ListNode :rtype: bool", "name": "hasCycle", "signature": "def hasCycle(self, head)" }, { "docstring": ":type head: ListNode :rtype: bool Best solution :-)", "name": "rewrite", "signature": "def rewrite(self, head)" } ]

2

stack_v2_sparse_classes_30k_train_019140

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def hasCycle(self, head): :type head: ListNode :rtype: bool - def rewrite(self, head): :type head: ListNode :rtype: bool Best solution :-)

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def hasCycle(self, head): :type head: ListNode :rtype: bool - def rewrite(self, head): :type head: ListNode :rtype: bool Best solution :-) <|skeleton|> class Solution: def ...

6350568d16b0f8c49a020f055bb6d72e2705ea56

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def hasCycle(self, head): """:type head: ListNode :rtype: bool""" if not head: return False first = head second = head.next.next if head.next else None if not second: return False while first != second: first = first...

the_stack_v2_python_sparse

co_amazon/141_Linked_List_Cycle.py

vsdrun/lc_public

train

6

27998c531f0fd37079bbe846fa6d6991952f214e

[ "self.M_min = -20\nself.M_max = -18\nself.fluid_number = fluid_number\nself.names = names\nself.int_lim = int_lim", "M = 1000.0 * rng.rand()\nM = dnest4.wrap(M, self.M_min, self.M_max)\nM = np.array([M])\nfluids = [rng.rand() for i in range(0, fluid_number)]\nif self.int_lim:\n int_terms = np.zeros(len(self.in...

Specify the model in Python.

Model

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Model: """Specify the model in Python.""" def __init__(self, names, int_lim, fluid_number): """Parameter values *are not* stored inside the class""" <|body_0|> def from_prior(self): """Unlike in C++, this must *return* a numpy array of parameters.""" <|bo...

stack_v2_sparse_classes_36k_train_023880

10,743

permissive

[ { "docstring": "Parameter values *are not* stored inside the class", "name": "__init__", "signature": "def __init__(self, names, int_lim, fluid_number)" }, { "docstring": "Unlike in C++, this must *return* a numpy array of parameters.", "name": "from_prior", "signature": "def from_prior(...

4

stack_v2_sparse_classes_30k_train_004849

Implement the Python class `Model` described below. Class description: Specify the model in Python. Method signatures and docstrings: - def __init__(self, names, int_lim, fluid_number): Parameter values *are not* stored inside the class - def from_prior(self): Unlike in C++, this must *return* a numpy array of parame...

c355d18021467cf92546cf2fc9cb1d1abe59b8d8

<|skeleton|> class Model: """Specify the model in Python.""" def __init__(self, names, int_lim, fluid_number): """Parameter values *are not* stored inside the class""" <|body_0|> def from_prior(self): """Unlike in C++, this must *return* a numpy array of parameters.""" <|bo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Model: """Specify the model in Python.""" def __init__(self, names, int_lim, fluid_number): """Parameter values *are not* stored inside the class""" self.M_min = -20 self.M_max = -18 self.fluid_number = fluid_number self.names = names self.int_lim = int_lim...

the_stack_v2_python_sparse

Models/Bfactor.py

lefthandedroo/Cosmodels

train

1

d2ce1408439d638630d6405f2bab8aab497f7a1c

[ "self.n_actions = n_actions\nself.eps_initials = np.array(eps_initials)\nself.eps_final = np.array(eps_final)\nself.eps_probs = np.array(eps_probs)\nself.eps_annealing_frames = eps_annealing_frames\nself.eps_evaluation = eps_evaluation\nself.slopes = np.array([-(self.eps_initials[i] - self.eps_final[i]) / self.eps_...

<|body_start_0|> self.n_actions = n_actions self.eps_initials = np.array(eps_initials) self.eps_final = np.array(eps_final) self.eps_probs = np.array(eps_probs) self.eps_annealing_frames = eps_annealing_frames self.eps_evaluation = eps_evaluation self.slopes = np....

According to the papaer: Asynchronous methods for RL, I implement 3 epsilons annealing at different rates and at each iteration sample from them. determines an action according to an epsilon greedy strategy with annealing epsilon Modify the annealing and exploration as desired..

ActionGetter

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ActionGetter: """According to the papaer: Asynchronous methods for RL, I implement 3 epsilons annealing at different rates and at each iteration sample from them. determines an action according to an epsilon greedy strategy with annealing epsilon Modify the annealing and exploration as desired.."...

stack_v2_sparse_classes_36k_train_023881

19,841

no_license

[ { "docstring": ":param n_actions: int, number of possible actions :param eps_initials: float, list of initial exploration probabilies :param eps_final : final exploration probability after eps_annealing_frames frames :param eps_evaluation: float, exploration probability during evaluation :param eps_annealing_fr...

2

null

Implement the Python class `ActionGetter` described below. Class description: According to the papaer: Asynchronous methods for RL, I implement 3 epsilons annealing at different rates and at each iteration sample from them. determines an action according to an epsilon greedy strategy with annealing epsilon Modify the ...

5d4dbde8d570623fe785e78a3e45cd05ea80aa08

<|skeleton|> class ActionGetter: """According to the papaer: Asynchronous methods for RL, I implement 3 epsilons annealing at different rates and at each iteration sample from them. determines an action according to an epsilon greedy strategy with annealing epsilon Modify the annealing and exploration as desired.."...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ActionGetter: """According to the papaer: Asynchronous methods for RL, I implement 3 epsilons annealing at different rates and at each iteration sample from them. determines an action according to an epsilon greedy strategy with annealing epsilon Modify the annealing and exploration as desired..""" def _...

the_stack_v2_python_sparse

Reinforcement-Learning/double_doueling1step_DQN_uniformReply.py

behrouzmadahian/python

train

1

63b053836e35d692a928e418c1a9c90b94038c30

[ "if not s:\n return True\nresult = False\nfor word in wordDict:\n if s.startswith(word):\n result |= self.wordBreak(s[len(word):], wordDict)\n if result:\n break\nreturn result", "d = [False] * len(s)\nfor i in range(len(s)):\n for w in wordDict:\n if w == s[i - len(w) + 1...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def wordBreak(self, s, wordDict): """TimeLimit Exceed :type s: str :type wordDict: List[str] :rtype: bool""" <|body_0|> def wordBreak2(self, s, wordDict): """https://discuss.leetcode.com/topic/8109/simple-dp-solution-in-python-with-description/2 :param s: :...

stack_v2_sparse_classes_36k_train_023882

1,541

no_license

[ { "docstring": "TimeLimit Exceed :type s: str :type wordDict: List[str] :rtype: bool", "name": "wordBreak", "signature": "def wordBreak(self, s, wordDict)" }, { "docstring": "https://discuss.leetcode.com/topic/8109/simple-dp-solution-in-python-with-description/2 :param s: :param wordDict:", ...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordBreak(self, s, wordDict): TimeLimit Exceed :type s: str :type wordDict: List[str] :rtype: bool - def wordBreak2(self, s, wordDict): https://discuss.leetcode.com/topic/810...

2526f8c0dec7101123123740e146ee4081e979ee

<|skeleton|> class Solution: def wordBreak(self, s, wordDict): """TimeLimit Exceed :type s: str :type wordDict: List[str] :rtype: bool""" <|body_0|> def wordBreak2(self, s, wordDict): """https://discuss.leetcode.com/topic/8109/simple-dp-solution-in-python-with-description/2 :param s: :...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wordBreak(self, s, wordDict): """TimeLimit Exceed :type s: str :type wordDict: List[str] :rtype: bool""" if not s: return True result = False for word in wordDict: if s.startswith(word): result |= self.wordBreak(s[len(word):...

the_stack_v2_python_sparse

139. Word Break.py

zhangpengGenedock/leetcode_python

train

1

1ea6e542a3f778e5c83642d88ffb023a4c7d5807

[ "with self.schema.table('steps') as table:\n table.string('status', 20).default('No Run').change()\n pass", "with self.schema.table('steps') as table:\n table.string('status', 20).default('No Run').change()\n pass" ]

AlterTestStatusStepsDefaultValue

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023883

506

no_license

[ { "docstring": "Run the migrations.", "name": "up", "signature": "def up(self)" }, { "docstring": "Revert the migrations.", "name": "down", "signature": "def down(self)" } ]

2

stack_v2_sparse_classes_30k_train_003928

Implement the Python class `AlterTestStatusStepsDefaultValue` described below. Class description: Implement the AlterTestStatusStepsDefaultValue class. Method signatures and docstrings: - def up(self): Run the migrations. - def down(self): Revert the migrations.

Implement the Python class `AlterTestStatusStepsDefaultValue` described below. Class description: Implement the AlterTestStatusStepsDefaultValue class. Method signatures and docstrings: - def up(self): Run the migrations. - def down(self): Revert the migrations. <|skeleton|> class AlterTestStatusStepsDefaultValue: ...

8033c98d7dc13cf5b53e5e4293083db8419809d1

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AlterTestStatusStepsDefaultValue: def up(self): """Run the migrations.""" with self.schema.table('steps') as table: table.string('status', 20).default('No Run').change() pass def down(self): """Revert the migrations.""" with self.schema.table('steps...

the_stack_v2_python_sparse

migrations/2017_12_26_033253_alter_test_status_steps_default_value.py

nuraizatif/pavoGUI

train

0

5b6a515377fa2237a04e1f8feb6e7769dcab8f3f

[ "data = req.data.keys()[0]\ndata = simplejson.loads(data)\ntitle = data.get('title')\ncategory = data.get('category')\nitems = data.get('items')\nis_active = data.get('is_active')\nactive_time = data.get('active_time')\nposter = GoodShelf()\nif title:\n poster.title = title\nif category:\n poster.category = c...

<|body_start_0|> data = req.data.keys()[0] data = simplejson.loads(data) title = data.get('title') category = data.get('category') items = data.get('items') is_active = data.get('is_active') active_time = data.get('active_time') poster = GoodShelf() ...

PosterViewSet

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023884

2,665

no_license

[ { "docstring": "POST /rest/v2/poster", "name": "create", "signature": "def create(self, req, *args, **kwargs)" }, { "docstring": "PUT /rest/v2/poster/<id>", "name": "update", "signature": "def update(self, req, *args, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_train_015096

Implement the Python class `PosterViewSet` described below. Class description: Implement the PosterViewSet class. Method signatures and docstrings: - def create(self, req, *args, **kwargs): POST /rest/v2/poster - def update(self, req, *args, **kwargs): PUT /rest/v2/poster/<id>

Implement the Python class `PosterViewSet` described below. Class description: Implement the PosterViewSet class. Method signatures and docstrings: - def create(self, req, *args, **kwargs): POST /rest/v2/poster - def update(self, req, *args, **kwargs): PUT /rest/v2/poster/<id> <|skeleton|> class PosterViewSet: ...

be58dc8f1f0630d3a04e551911f66d9091bedc45

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PosterViewSet: def create(self, req, *args, **kwargs): """POST /rest/v2/poster""" data = req.data.keys()[0] data = simplejson.loads(data) title = data.get('title') category = data.get('category') items = data.get('items') is_active = data.get('is_active'...

the_stack_v2_python_sparse

flashsale/restpro/v2/views/poster.py

nidepuzi/ndpuzsys

train

1

536df71401a84e09bfde81ec684ace3abfcdf8b1

[ "super().__init__()\nself.generator = generator_cls(latent_dim, n_classes, code_dim, img_size, num_channels)\nself.discriminator = discriminator_cls(code_dim, n_classes, num_channels, img_size)\nself._n_classes = n_classes\nself._latent_dim = latent_dim\nself._code_dim = code_dim\nself.lambda_cat = lambda_cat\nself...

<|body_start_0|> super().__init__() self.generator = generator_cls(latent_dim, n_classes, code_dim, img_size, num_channels) self.discriminator = discriminator_cls(code_dim, n_classes, num_channels, img_size) self._n_classes = n_classes self._latent_dim = latent_dim self._...

Class implementing the Information Maximization Generative Adversarial Networks. References ---------- `Paper <https://arxiv.org/abs/1606.03657>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its parts ...

InfoGAN

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class InfoGAN: """Class implementing the Information Maximization Generative Adversarial Networks. References ---------- `Paper <https://arxiv.org/abs/1606.03657>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to...

stack_v2_sparse_classes_36k_train_023885

6,693

permissive

[ { "docstring": "Parameters ---------- latent_dim : int the size of the latent dimension n_classes : int the number of classes code_dim : int the size of the code dimension img_size : int the number of pixels per image side num_channels : int number of image channels lambda_cat : float weighting factor specifyin...

2

stack_v2_sparse_classes_30k_train_019118

Implement the Python class `InfoGAN` described below. Class description: Class implementing the Information Maximization Generative Adversarial Networks. References ---------- `Paper <https://arxiv.org/abs/1606.03657>`_ Warnings -------- This Network is designed for training only; if you want to predict from an alread...

1078f5030b8aac2bf022daf5fa14d66f74c3c893

<|skeleton|> class InfoGAN: """Class implementing the Information Maximization Generative Adversarial Networks. References ---------- `Paper <https://arxiv.org/abs/1606.03657>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class InfoGAN: """Class implementing the Information Maximization Generative Adversarial Networks. References ---------- `Paper <https://arxiv.org/abs/1606.03657>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this n...

the_stack_v2_python_sparse

dlutils/models/gans/info/info_gan.py

justusschock/dl-utils

train

15

e6bb83e59a9e423d76f580473df5618233398072

[ "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!')" ]

A set of methods for async voice recognition.

AsyncRecognizerServicer

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AsyncRecognizerServicer: """A set of methods for async voice recognition.""" def RecognizeFile(self, request, context): """Missing associated documentation comment in .proto file.""" <|body_0|> def GetRecognition(self, request, context): """Missing associated doc...

stack_v2_sparse_classes_36k_train_023886

7,372

permissive

[ { "docstring": "Missing associated documentation comment in .proto file.", "name": "RecognizeFile", "signature": "def RecognizeFile(self, request, context)" }, { "docstring": "Missing associated documentation comment in .proto file.", "name": "GetRecognition", "signature": "def GetRecogn...

2

null

Implement the Python class `AsyncRecognizerServicer` described below. Class description: A set of methods for async voice recognition. Method signatures and docstrings: - def RecognizeFile(self, request, context): Missing associated documentation comment in .proto file. - def GetRecognition(self, request, context): M...

b906a014dd893e2697864e1e48e814a8d9fbc48c

<|skeleton|> class AsyncRecognizerServicer: """A set of methods for async voice recognition.""" def RecognizeFile(self, request, context): """Missing associated documentation comment in .proto file.""" <|body_0|> def GetRecognition(self, request, context): """Missing associated doc...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AsyncRecognizerServicer: """A set of methods for async voice recognition.""" def RecognizeFile(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') ...

the_stack_v2_python_sparse

yandex/cloud/ai/stt/v3/stt_service_pb2_grpc.py

yandex-cloud/python-sdk

train

63

50928e0030d2aad28bf9af8b6d18a935a2f36a23

[ "position = 10\nmy_investment = investment.investment(position)\nself.assertEqual(my_investment.position_value, 100.0)", "positions = [1, 10, 100, 1000]\nmy_investment = investment.investment(positions)\nle2000 = np.all(my_investment.gamble() <= 2000)\nge0 = np.all(my_investment.gamble() >= 0)\nself.assertEqual(T...

Test

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023887

845

no_license

[ { "docstring": "Tests whether investment positions and position_value are correctly associated", "name": "investmentTest", "signature": "def investmentTest(self)" }, { "docstring": "Tests whether gamble function outputs are within reasonable bounds.", "name": "gambleTest", "signature": "...

2

null

Implement the Python class `Test` described below. Class description: Implement the Test class. Method signatures and docstrings: - def investmentTest(self): Tests whether investment positions and position_value are correctly associated - def gambleTest(self): Tests whether gamble function outputs are within reasonab...

5b904060e8bced7f91547ad7f7819773a7450a1e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Test: def investmentTest(self): """Tests whether investment positions and position_value are correctly associated""" position = 10 my_investment = investment.investment(position) self.assertEqual(my_investment.position_value, 100.0) def gambleTest(self): """Tests w...

the_stack_v2_python_sparse

jt2276/investment_package/investment_tests.py

ds-ga-1007/assignment8

train

1

df2a23695b28525efe6dbfca2fb93d66802d16d9

[ "self.lti_msg = msg\nself.lti_log = log\nreturn redirect(self.build_return_url())", "self.lti_errormsg = errormsg\nself.lti_errorlog = errorlog\nreturn redirect(self.build_return_url())" ]

OAuth ToolProvider that works with Django requests.

DjangoToolProvider

[ "MIT", "LGPL-2.0-or-later", "BSD-3-Clause", "Apache-2.0", "LGPL-2.1-only", "Python-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DjangoToolProvider: """OAuth ToolProvider that works with Django requests.""" def success_redirect(self, msg='', log=''): """Shortcut redirecting view to LTI Consumer with messages.""" <|body_0|> def error_redirect(self, errormsg='', errorlog=''): """Shortcut for...

stack_v2_sparse_classes_36k_train_023888

5,385

permissive

[ { "docstring": "Shortcut redirecting view to LTI Consumer with messages.", "name": "success_redirect", "signature": "def success_redirect(self, msg='', log='')" }, { "docstring": "Shortcut for redirecting view to LTI Consumer with errors.", "name": "error_redirect", "signature": "def err...

2

null

Implement the Python class `DjangoToolProvider` described below. Class description: OAuth ToolProvider that works with Django requests. Method signatures and docstrings: - def success_redirect(self, msg='', log=''): Shortcut redirecting view to LTI Consumer with messages. - def error_redirect(self, errormsg='', error...

c432745dfff932cbe7397100422d49df78f0a882

<|skeleton|> class DjangoToolProvider: """OAuth ToolProvider that works with Django requests.""" def success_redirect(self, msg='', log=''): """Shortcut redirecting view to LTI Consumer with messages.""" <|body_0|> def error_redirect(self, errormsg='', errorlog=''): """Shortcut for...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DjangoToolProvider: """OAuth ToolProvider that works with Django requests.""" def success_redirect(self, msg='', log=''): """Shortcut redirecting view to LTI Consumer with messages.""" self.lti_msg = msg self.lti_log = log return redirect(self.build_return_url()) def ...

the_stack_v2_python_sparse

ontask/lti/tool_provider.py

abelardopardo/ontask_b

train

43

ad6d42d53bef09c03f42de185cbce3d17cf8165f

[ "self.window = window\nself.window_rect = self.window.get_rect()\nself.bomb_number = 3\nself.bomb_image = pygame.image.load('images/bomb.png')\nself.bomb_rect_list = []\nfor i in range(self.bomb_number):\n bomb_rect = self.bomb_image.get_rect()\n bomb_rect.bottom = self.window_rect.height - constants.MARGIN\n...

<|body_start_0|> self.window = window self.window_rect = self.window.get_rect() self.bomb_number = 3 self.bomb_image = pygame.image.load('images/bomb.png') self.bomb_rect_list = [] for i in range(self.bomb_number): bomb_rect = self.bomb_image.get_rect() ...

可视化炸弹组

VisualBombGroup

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023889

1,643

no_license

[ { "docstring": "初始化可视化炸弹组", "name": "__init__", "signature": "def __init__(self, window)" }, { "docstring": "播放炸弹爆炸的声音", "name": "play_explode_sound", "signature": "def play_explode_sound(self)" } ]

2

null

Implement the Python class `VisualBombGroup` described below. Class description: 可视化炸弹组 Method signatures and docstrings: - def __init__(self, window): 初始化可视化炸弹组 - def play_explode_sound(self): 播放炸弹爆炸的声音

Implement the Python class `VisualBombGroup` described below. Class description: 可视化炸弹组 Method signatures and docstrings: - def __init__(self, window): 初始化可视化炸弹组 - def play_explode_sound(self): 播放炸弹爆炸的声音 <|skeleton|> class VisualBombGroup: """可视化炸弹组""" def __init__(self, window): """初始化可视化炸弹组""" ...

66f7f801e1395207778484e1543ea26309d4b354

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VisualBombGroup: """可视化炸弹组""" def __init__(self, window): """初始化可视化炸弹组""" self.window = window self.window_rect = self.window.get_rect() self.bomb_number = 3 self.bomb_image = pygame.image.load('images/bomb.png') self.bomb_rect_list = [] for i in ra...

the_stack_v2_python_sparse

python/practise/PlaneWar/visual_bomb_group.py

anzhihe/learning

train

1,443

52997b71e2d928cd315df8a64ee48a08cd332729

[ "n = len(A)\nif n < 3:\n return 0\nd = [A[i] - A[i - 1] for i in range(1, n)]\ni = 0\nj = 0\ncnts = []\nm = n - 1\nwhile i <= j and j < m:\n while j < m and d[j] == d[i]:\n j += 1\n if j == m:\n cnt = m - 1 - i + 2\n if cnt >= 3:\n cnts.append(cnt)\n break\n cnt = ...

<|body_start_0|> n = len(A) if n < 3: return 0 d = [A[i] - A[i - 1] for i in range(1, n)] i = 0 j = 0 cnts = [] m = n - 1 while i <= j and j < m: while j < m and d[j] == d[i]: j += 1 if j == m: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023890

2,973

no_license

[ { "docstring": ":type A: List[int] :rtype: int", "name": "numberOfArithmeticSlices", "signature": "def numberOfArithmeticSlices(self, A)" }, { "docstring": "return number of arithmetic sequence for [1,2,...,n]", "name": "nas", "signature": "def nas(self, n)" } ]

2

stack_v2_sparse_classes_30k_train_012437

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def numberOfArithmeticSlices(self, A): :type A: List[int] :rtype: int - def nas(self, n): return number of arithmetic sequence for [1,2,...,n]

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def numberOfArithmeticSlices(self, A): :type A: List[int] :rtype: int - def nas(self, n): return number of arithmetic sequence for [1,2,...,n] <|skeleton|> class Solution: ...

e00cf94c5b86c8cca27e3bee69ad21e727b7679b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def numberOfArithmeticSlices(self, A): """:type A: List[int] :rtype: int""" n = len(A) if n < 3: return 0 d = [A[i] - A[i - 1] for i in range(1, n)] i = 0 j = 0 cnts = [] m = n - 1 while i <= j and j < m: ...

the_stack_v2_python_sparse

dp/prob413.py

binchen15/leet-python

train

1

82a5222ed5ca6cfb6f44614fb395b9dd66302e42

[ "event_times_template = np.array([1.0], dtype=np.float64)\nmode_sequence_template = np.array([0], dtype=np.uintp)\nreturn helper.get_event_times_and_mode_sequence(0, duration, event_times_template, mode_sequence_template)", "max_linear_velocity_x = 0.5\nmax_linear_velocity_y = 0.5\nmax_euler_angle_derivative_z = ...

Ballbot MPC-Net. Adds robot-specific methods for the MPC-Net training.

BallbotMpcnet

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BallbotMpcnet: """Ballbot MPC-Net. Adds robot-specific methods for the MPC-Net training.""" def get_default_event_times_and_mode_sequence(duration: float) -> Tuple[np.ndarray, np.ndarray]: """Get the event times and mode sequence describing the default mode schedule. Creates the defa...

stack_v2_sparse_classes_36k_train_023891

6,804

permissive

[ { "docstring": "Get the event times and mode sequence describing the default mode schedule. Creates the default event times and mode sequence for a certain time duration. Args: duration: The duration of the mode schedule given by a float. Returns: A tuple containing the components of the mode schedule. - event_...

4

stack_v2_sparse_classes_30k_train_020078

Implement the Python class `BallbotMpcnet` described below. Class description: Ballbot MPC-Net. Adds robot-specific methods for the MPC-Net training. Method signatures and docstrings: - def get_default_event_times_and_mode_sequence(duration: float) -> Tuple[np.ndarray, np.ndarray]: Get the event times and mode sequen...

ebde452b10d0eceaac45364f7bb8f0ac1038b637

<|skeleton|> class BallbotMpcnet: """Ballbot MPC-Net. Adds robot-specific methods for the MPC-Net training.""" def get_default_event_times_and_mode_sequence(duration: float) -> Tuple[np.ndarray, np.ndarray]: """Get the event times and mode sequence describing the default mode schedule. Creates the defa...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BallbotMpcnet: """Ballbot MPC-Net. Adds robot-specific methods for the MPC-Net training.""" def get_default_event_times_and_mode_sequence(duration: float) -> Tuple[np.ndarray, np.ndarray]: """Get the event times and mode sequence describing the default mode schedule. Creates the default event tim...

the_stack_v2_python_sparse

ocs2_mpcnet/ocs2_ballbot_mpcnet/python/ocs2_ballbot_mpcnet/mpcnet.py

scmwang/ocs2

train

0

2ea96482745dcc4cfd6c3417777055c6044370f7

[ "self.host = host\nself.port = port\nself.verbose = verbose\nself.opts = opts\nself.flags = flags\nself.connect()", "context = zmq.Context()\npuller = context.socket(zmq.PULL)\nfor opt in self.opts:\n puller.setsockopt(opt, 1)\nprint('Puller: tcp://{0}:{1}'.format(self.host, self.port))\npuller.bind('tcp://{0}...

ZMQPullBind

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023892

12,974

no_license

[ { "docstring": "create a Default ZMQ Pull socket", "name": "__init__", "signature": "def __init__(self, host, port, opts=[], flags=0, verbose=False)" }, { "docstring": "open ZMQ pull socket return receiver object", "name": "connect", "signature": "def connect(self)" }, { "docstri...

4

null

Implement the Python class `ZMQPullBind` described below. Class description: Implement the ZMQPullBind class. Method signatures and docstrings: - def __init__(self, host, port, opts=[], flags=0, verbose=False): create a Default ZMQ Pull socket - def connect(self): open ZMQ pull socket return receiver object - def rec...

55041e6947b888242ff01cb18bd5f1ee4c4c8f28

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ZMQPullBind: def __init__(self, host, port, opts=[], flags=0, verbose=False): """create a Default ZMQ Pull socket""" self.host = host self.port = port self.verbose = verbose self.opts = opts self.flags = flags self.connect() def connect(self): ...

the_stack_v2_python_sparse

NPC/gui/ZmqSockets.py

coquellen/NanoPeakCell

train

6

d8c9423f4772bdfc90b9b520be5caabc707a90ca

[ "\"\"\"获取repo信息这里的owner就是gitlab中的namespace\"\"\"\nAsyncApiHelper.setRepo(owner, repo)\nAsyncApiHelper.setRepoId(repo_id)\nt1 = datetime.now()\nstatistic = statisticsHelper()\nstatistic.startTime = t1\n'异步多协程爬虫爬取pull-request信息'\nloop = asyncio.get_event_loop()\ntask = [asyncio.ensure_future(AsyncProjectAllDataFetc...

<|body_start_0|> """获取repo信息这里的owner就是gitlab中的namespace""" AsyncApiHelper.setRepo(owner, repo) AsyncApiHelper.setRepoId(repo_id) t1 = datetime.now() statistic = statisticsHelper() statistic.startTime = t1 '异步多协程爬虫爬取pull-request信息' loop = asyncio.get_even...

AsyncProjectAllDataFetcher

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023893

2,411

no_license

[ { "docstring": "指定目标owner/repo 获取start到 start - limit编号的pull-request相关评审信息", "name": "getDataForRepository", "signature": "def getDataForRepository(repo_id, owner, repo, limit, start)" }, { "docstring": "准备工作", "name": "preProcess", "signature": "async def preProcess(loop, limit, start, ...

2

stack_v2_sparse_classes_30k_train_010791

Implement the Python class `AsyncProjectAllDataFetcher` described below. Class description: Implement the AsyncProjectAllDataFetcher class. Method signatures and docstrings: - def getDataForRepository(repo_id, owner, repo, limit, start): 指定目标owner/repo 获取start到 start - limit编号的pull-request相关评审信息 - async def preProces...

36a29804294344f75db115ac38da2fdab0d6fa4b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AsyncProjectAllDataFetcher: def getDataForRepository(repo_id, owner, repo, limit, start): """指定目标owner/repo 获取start到 start - limit编号的pull-request相关评审信息""" """获取repo信息这里的owner就是gitlab中的namespace""" AsyncApiHelper.setRepo(owner, repo) AsyncApiHelper.setRepoId(repo_id) t...

the_stack_v2_python_sparse

source/data/service/AsyncProjectAllDataFetcher.py

soilerl/HuaweiProject

train

0

d661a27d6086beaca12f726338b2af02292fac66

[ "if not session_id:\n raise RedisKeyError('construct session_key required session_id')\nsession_key = self.key[session_id]\nif isinstance(session_key, bytes):\n session_key = session_key.decode('utf8')\nself.db.api.set(session_key, session_data)\nself.db.api.expire(session_key, timeout)", "if not session_id...

<|body_start_0|> if not session_id: raise RedisKeyError('construct session_key required session_id') session_key = self.key[session_id] if isinstance(session_key, bytes): session_key = session_key.decode('utf8') self.db.api.set(session_key, session_data) s...

session信息

SessionModel

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023894

1,691

permissive

[ { "docstring": "设置session信息", "name": "set", "signature": "def set(self, session_id, session_data, timeout)" }, { "docstring": "获取session信息", "name": "get", "signature": "def get(self, session_id)" }, { "docstring": "删除session信息", "name": "delete", "signature": "def delet...

3

stack_v2_sparse_classes_30k_train_008641

Implement the Python class `SessionModel` described below. Class description: session信息 Method signatures and docstrings: - def set(self, session_id, session_data, timeout): 设置session信息 - def get(self, session_id): 获取session信息 - def delete(self, session_id): 删除session信息

Implement the Python class `SessionModel` described below. Class description: session信息 Method signatures and docstrings: - def set(self, session_id, session_data, timeout): 设置session信息 - def get(self, session_id): 获取session信息 - def delete(self, session_id): 删除session信息 <|skeleton|> class SessionModel: """sessio...

9999d70429d9f773501f9a11910997343ff2df93

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SessionModel: """session信息""" def set(self, session_id, session_data, timeout): """设置session信息""" if not session_id: raise RedisKeyError('construct session_key required session_id') session_key = self.key[session_id] if isinstance(session_key, bytes): ...

the_stack_v2_python_sparse

api/model/redis/session.py

bopopescu/smp

train

0

77e5a76db2ae23811be058a7db3f2900aa38b920

[ "flag = None\nif isinstance(str_one, str):\n str_one = str_one.encode('unicode-escape').decode('string_escape')\n return operator(str_one, str_two)\nif str_one in str_two:\n flag = True\nelse:\n flag = False\nreturn flag", "if isinstance(dict_one, str):\n dict_one = json.loads(dict_one)\n print(...

<|body_start_0|> flag = None if isinstance(str_one, str): str_one = str_one.encode('unicode-escape').decode('string_escape') return operator(str_one, str_two) if str_one in str_two: flag = True else: flag = False return flag <|end_b...

CommonUtil

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_023895

1,480

no_license

[ { "docstring": "判断一个字符串是否再另外一个字符串中 str_one:查找的字符串 str_two：被查找的字符串", "name": "is_contain", "signature": "def is_contain(self, str_one, str_two)" }, { "docstring": "判断两个字典是否相等", "name": "is_equal_dict", "signature": "def is_equal_dict(self, dict_one, dict_two)" }, { "docstring": "判...

3

stack_v2_sparse_classes_30k_train_002458

Implement the Python class `CommonUtil` described below. Class description: Implement the CommonUtil class. Method signatures and docstrings: - def is_contain(self, str_one, str_two): 判断一个字符串是否再另外一个字符串中 str_one:查找的字符串 str_two：被查找的字符串 - def is_equal_dict(self, dict_one, dict_two): 判断两个字典是否相等 - def is_json(self, data):...

7e84a4a93d7e7774b7f5bcc71beeba4fb4a5334b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CommonUtil: def is_contain(self, str_one, str_two): """判断一个字符串是否再另外一个字符串中 str_one:查找的字符串 str_two：被查找的字符串""" flag = None if isinstance(str_one, str): str_one = str_one.encode('unicode-escape').decode('string_escape') return operator(str_one, str_two) if s...

the_stack_v2_python_sparse

util/common_util.py

yuzj1113/APIAutoTestForUp360

train

5

b1fc0e9b12bdeb9f6d449d533596fd9731daadc6

[ "if not s:\n return 0\n\ndef is_pal_str(x):\n return x == x[::-1]\nn = len(s)\ndp = [0] * n\ndp[0] = 1\nfor i in range(1, n):\n for j in range(i, -1, -1):\n if is_pal_str(s[j:i + 1]):\n dp[i] += 1\nreturn sum(dp)", "n = len(s)\ndp = [[0] * n for _ in range(n)]\nfor i in range(n):\n d...

<|body_start_0|> if not s: return 0 def is_pal_str(x): return x == x[::-1] n = len(s) dp = [0] * n dp[0] = 1 for i in range(1, n): for j in range(i, -1, -1): if is_pal_str(s[j:i + 1]): dp[i] += 1 ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def countSubstrings(self, s): """dp[i]:以i结尾新增加的回文子串时间复杂度n^2,空间复杂度n :type s: str :rtype: int""" <|body_0|> def countSubstrings2(self, s): """方法二 dp[i][j]表示s[i~j]是否是回文串自定向下dp递推表达式: dp[i][j] = s[i] == s[j] if i ==j+1; dp[i][j] = dp[i+1][j-1] && s[i]==[j] :pa...

stack_v2_sparse_classes_36k_train_023896

2,443

no_license

[ { "docstring": "dp[i]:以i结尾新增加的回文子串时间复杂度n^2,空间复杂度n :type s: str :rtype: int", "name": "countSubstrings", "signature": "def countSubstrings(self, s)" }, { "docstring": "方法二 dp[i][j]表示s[i~j]是否是回文串自定向下dp递推表达式: dp[i][j] = s[i] == s[j] if i ==j+1; dp[i][j] = dp[i+1][j-1] && s[i]==[j] :param s: :retu...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def countSubstrings(self, s): dp[i]:以i结尾新增加的回文子串时间复杂度n^2,空间复杂度n :type s: str :rtype: int - def countSubstrings2(self, s): 方法二 dp[i][j]表示s[i~j]是否是回文串自定向下dp递推表达式: dp[i][j] = s[i]...

5d3574ccd282d0146c83c286ae28d8baaabd4910

<|skeleton|> class Solution: def countSubstrings(self, s): """dp[i]:以i结尾新增加的回文子串时间复杂度n^2,空间复杂度n :type s: str :rtype: int""" <|body_0|> def countSubstrings2(self, s): """方法二 dp[i][j]表示s[i~j]是否是回文串自定向下dp递推表达式: dp[i][j] = s[i] == s[j] if i ==j+1; dp[i][j] = dp[i+1][j-1] && s[i]==[j] :pa...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def countSubstrings(self, s): """dp[i]:以i结尾新增加的回文子串时间复杂度n^2,空间复杂度n :type s: str :rtype: int""" if not s: return 0 def is_pal_str(x): return x == x[::-1] n = len(s) dp = [0] * n dp[0] = 1 for i in range(1, n): ...

the_stack_v2_python_sparse

647_回文子串.py

lovehhf/LeetCode

train

0

2c1ce9b33fc0b7ac96c0e683692982322e64f2ae

[ "try:\n q = quantity.Concentration(1.0, 'm^-3')\n self.fail('Allowed invalid unit type \"m^-3\".')\nexcept quantity.QuantityError:\n pass", "q = quantity.Concentration(1.0, 'mol/m^3')\nself.assertAlmostEqual(q.value, 1.0, 6)\nself.assertAlmostEqual(q.value_si, 1.0, delta=1e-06)\nself.assertEqual(q.units,...

Contains unit tests of the Concentration unit type object.

TestConcentration

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestConcentration: """Contains unit tests of the Concentration unit type object.""" def test_perm3(self): """Test the creation of an concentration quantity with units of m^-3.""" <|body_0|> def test_molperm3(self): """Test the creation of an concentration quantit...

stack_v2_sparse_classes_36k_train_023897

33,010

permissive

[ { "docstring": "Test the creation of an concentration quantity with units of m^-3.", "name": "test_perm3", "signature": "def test_perm3(self)" }, { "docstring": "Test the creation of an concentration quantity with units of mol/m^3.", "name": "test_molperm3", "signature": "def test_molper...

3

stack_v2_sparse_classes_30k_train_001572

Implement the Python class `TestConcentration` described below. Class description: Contains unit tests of the Concentration unit type object. Method signatures and docstrings: - def test_perm3(self): Test the creation of an concentration quantity with units of m^-3. - def test_molperm3(self): Test the creation of an ...

0937b2e0a955dcf21b79674a4e89f43941c0dd85

<|skeleton|> class TestConcentration: """Contains unit tests of the Concentration unit type object.""" def test_perm3(self): """Test the creation of an concentration quantity with units of m^-3.""" <|body_0|> def test_molperm3(self): """Test the creation of an concentration quantit...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestConcentration: """Contains unit tests of the Concentration unit type object.""" def test_perm3(self): """Test the creation of an concentration quantity with units of m^-3.""" try: q = quantity.Concentration(1.0, 'm^-3') self.fail('Allowed invalid unit type "m^-...

the_stack_v2_python_sparse

rmgpy/quantityTest.py

vrlambert/RMG-Py

train

1

51c894d1a4c736e8046b8097e8fda978168833eb

[ "if label is None:\n label = title\nif info is None:\n info = title\nif c is None:\n c = current.request.controller\nif label is None:\n if t is None:\n t = '%s_%s' % (c, f)\n if m == 'create':\n label = get_crud_string(t, 'label_create')\n elif m == 'update':\n label = get_cr...

<|body_start_0|> if label is None: label = title if info is None: info = title if c is None: c = current.request.controller if label is None: if t is None: t = '%s_%s' % (c, f) if m == 'create': l...

Links in form fields comments to show a form for adding a new foreign key record.

S3PopupLink

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class S3PopupLink: """Links in form fields comments to show a form for adding a new foreign key record.""" def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=None): """Constructor @param c: the target controller @param f:...

stack_v2_sparse_classes_36k_train_023898

26,788

permissive

[ { "docstring": "Constructor @param c: the target controller @param f: the target function @param t: the target table (defaults to c_f) @param m: the URL method (will be appended to args) @param args: the argument list @param vars: the request vars (format=\"popup\" will be added automatically) @param label: the...

3

stack_v2_sparse_classes_30k_train_003630

Implement the Python class `S3PopupLink` described below. Class description: Links in form fields comments to show a form for adding a new foreign key record. Method signatures and docstrings: - def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=Non...

7ec4b959d009daf26d5ca6ce91dd9c3c0bd978d6

<|skeleton|> class S3PopupLink: """Links in form fields comments to show a form for adding a new foreign key record.""" def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=None): """Constructor @param c: the target controller @param f:...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class S3PopupLink: """Links in form fields comments to show a form for adding a new foreign key record.""" def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=None): """Constructor @param c: the target controller @param f: the target f...

the_stack_v2_python_sparse

modules/s3layouts.py

nursix/drkcm

train

3

fd46c06e63c9ee482189c3c1a51951da9e6ce8aa

[ "tests_by_testcase = {}\nfor tests in (self.successes, self.failures, self.errors, self.skipped):\n for test_info in tests:\n testcase = type(test_info.test_method)\n module = testcase.__module__ + '.'\n if module == '__main__.':\n module = ''\n testcase_name = module + tes...

<|body_start_0|> tests_by_testcase = {} for tests in (self.successes, self.failures, self.errors, self.skipped): for test_info in tests: testcase = type(test_info.test_method) module = testcase.__module__ + '.' if module == '__main__.': ...

A test result class that can express test results in a XML report.

_XMLTestResult

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _XMLTestResult: """A test result class that can express test results in a XML report.""" def _get_info_by_testcase(self): """This method organizes test results by TestCase module. This information is used during the report generation, where a XML report will be generated for each Tes...

stack_v2_sparse_classes_36k_train_023899

7,409

permissive

[ { "docstring": "This method organizes test results by TestCase module. This information is used during the report generation, where a XML report will be generated for each TestCase.", "name": "_get_info_by_testcase", "signature": "def _get_info_by_testcase(self)" }, { "docstring": "Appends the t...

5

stack_v2_sparse_classes_30k_train_001411

Implement the Python class `_XMLTestResult` described below. Class description: A test result class that can express test results in a XML report. Method signatures and docstrings: - def _get_info_by_testcase(self): This method organizes test results by TestCase module. This information is used during the report gene...

8dc5e2bc740cc519dcb82a20b52d8af030e92517

<|skeleton|> class _XMLTestResult: """A test result class that can express test results in a XML report.""" def _get_info_by_testcase(self): """This method organizes test results by TestCase module. This information is used during the report generation, where a XML report will be generated for each Tes...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _XMLTestResult: """A test result class that can express test results in a XML report.""" def _get_info_by_testcase(self): """This method organizes test results by TestCase module. This information is used during the report generation, where a XML report will be generated for each TestCase.""" ...

the_stack_v2_python_sparse

mule/runners/xml.py

sabertooth304/mule

train

0