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

353b928a0c095125f0c40e13d38bb35faa419df1

[ "left, right = (0, 19)\nwhile left <= right:\n mid = left + (right - left) / 2\n if 3 ** mid == n:\n return True\n elif 3 ** mid > n:\n right = mid - 1\n else:\n left = mid + 1\nreturn False", "while n > 1 and n % 3 == 0:\n n /= 3\nreturn n == 1" ]

<|body_start_0|> left, right = (0, 19) while left <= right: mid = left + (right - left) / 2 if 3 ** mid == n: return True elif 3 ** mid > n: right = mid - 1 else: left = mid + 1 return False <|end_bod...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019000

597

permissive

[ { "docstring": ":type n: int :rtype: bool", "name": "isPowerOfThree", "signature": "def isPowerOfThree(self, n)" }, { "docstring": ":type n: int :rtype: bool", "name": "isPowerOfThree2", "signature": "def isPowerOfThree2(self, n)" } ]

2

stack_v2_sparse_classes_30k_train_001017

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isPowerOfThree(self, n): :type n: int :rtype: bool - def isPowerOfThree2(self, n): :type n: int :rtype: bool

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isPowerOfThree(self, n): :type n: int :rtype: bool - def isPowerOfThree2(self, n): :type n: int :rtype: bool <|skeleton|> class Solution: def isPowerOfThree(self, n): ...

c8bf33af30569177c5276ffcd72a8d93ba4c402a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isPowerOfThree(self, n): """:type n: int :rtype: bool""" left, right = (0, 19) while left <= right: mid = left + (right - left) / 2 if 3 ** mid == n: return True elif 3 ** mid > n: right = mid - 1 ...

the_stack_v2_python_sparse

301-400/321-330/326-powerOfThree/powerOfThree.py

xuychen/Leetcode

train

0

310567f7edd54dc4b982c6e3a380e736f8b62779

[ "kwargs.update({'auto_id': 'id_contact_quickbutton_%s'})\nsuper(AddContactQuickbuttonForm, self).__init__(*args, **kwargs)\nself.fields['account'].queryset = Account.objects.all()", "for email in self.cleaned_data['emails']:\n validate_email(email)\n if Contact.objects.filter(email_addresses__email_address_...

<|body_start_0|> kwargs.update({'auto_id': 'id_contact_quickbutton_%s'}) super(AddContactQuickbuttonForm, self).__init__(*args, **kwargs) self.fields['account'].queryset = Account.objects.all() <|end_body_0|> <|body_start_1|> for email in self.cleaned_data['emails']: validat...

Form to add an account with the absolute minimum of information.

AddContactQuickbuttonForm

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AddContactQuickbuttonForm: """Form to add an account with the absolute minimum of information.""" def __init__(self, *args, **kwargs): """Overload super().__init__ to change auto_id to prevent clashing form field id's with other forms.""" <|body_0|> def clean_emails(self...

stack_v2_sparse_classes_36k_train_019001

11,738

no_license

[ { "docstring": "Overload super().__init__ to change auto_id to prevent clashing form field id's with other forms.", "name": "__init__", "signature": "def __init__(self, *args, **kwargs)" }, { "docstring": "Prevent multiple contacts with the same email address when adding", "name": "clean_ema...

4

stack_v2_sparse_classes_30k_train_011517

Implement the Python class `AddContactQuickbuttonForm` described below. Class description: Form to add an account with the absolute minimum of information. Method signatures and docstrings: - def __init__(self, *args, **kwargs): Overload super().__init__ to change auto_id to prevent clashing form field id's with othe...

0a284e2aae3ca08955215418a76bb70ad9af1f81

<|skeleton|> class AddContactQuickbuttonForm: """Form to add an account with the absolute minimum of information.""" def __init__(self, *args, **kwargs): """Overload super().__init__ to change auto_id to prevent clashing form field id's with other forms.""" <|body_0|> def clean_emails(self...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AddContactQuickbuttonForm: """Form to add an account with the absolute minimum of information.""" def __init__(self, *args, **kwargs): """Overload super().__init__ to change auto_id to prevent clashing form field id's with other forms.""" kwargs.update({'auto_id': 'id_contact_quickbutton_...

the_stack_v2_python_sparse

lily/contacts/forms.py

rmoorman/hellolily

train

0

33d21395285617850f59e68074defa3edbba3cd1

[ "self.board = board\nself.archive = archive\nself.archive.visitedStates[str(self.board.changeable)] = 'beginning!'\nself.save = save", "print('[' + time.strftime('%H:%M:%S') + ']' + ' Running algorithm...\\n')\nwhile self.board.checkSolution() != 0:\n children = self.board.createChildren()\n childToCheck = ...

Random

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Random: def __init__(self, board, archive, save): """Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class.""" ...

stack_v2_sparse_classes_36k_train_019002

1,929

no_license

[ { "docstring": "Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class.", "name": "__init__", "signature": "def __init__(self, boa...

2

stack_v2_sparse_classes_30k_train_010473

Implement the Python class `Random` described below. Class description: Implement the Random class. Method signatures and docstrings: - def __init__(self, board, archive, save): Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game...

4d1eb8a94e38e256699c964b0c7147364ece099a

<|skeleton|> class Random: def __init__(self, board, archive, save): """Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Random: def __init__(self, board, archive, save): """Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class.""" self.boa...

the_stack_v2_python_sparse

src/algorithms/random.py

KevinVuongly/ProgrAmsterdam

train

0

fdfb16032d63dccfe736757871f28ac55b96b3da

[ "self.label = label\nwith h5py.File(filename, 'r') as f:\n data = f[self.label]\n self.distance = data['D'].value\n self.N = len(self.distance)\n glon = data['glon'].value\n glat = data['glat'].value\n self.coord = get_coordinates(glon, glat)\nself.unit_vector = coord_to_uv(self.coord)", "write_...

<|body_start_0|> self.label = label with h5py.File(filename, 'r') as f: data = f[self.label] self.distance = data['D'].value self.N = len(self.distance) glon = data['glon'].value glat = data['glat'].value self.coord = get_coordinate...

Stores the data and parameters for sources.

Source

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Source: """Stores the data and parameters for sources.""" def __init__(self, filename, label): """Stores the data and parameters for sources. :param filename: file ocntaining source data :param label: identifier""" <|body_0|> def plot(self, style, skymap): """Plo...

stack_v2_sparse_classes_36k_train_019003

15,467

no_license

[ { "docstring": "Stores the data and parameters for sources. :param filename: file ocntaining source data :param label: identifier", "name": "__init__", "signature": "def __init__(self, filename, label)" }, { "docstring": "Plot the sources on a map of the sky. Called by Data.show() :param style: ...

4

stack_v2_sparse_classes_30k_train_016383

Implement the Python class `Source` described below. Class description: Stores the data and parameters for sources. Method signatures and docstrings: - def __init__(self, filename, label): Stores the data and parameters for sources. :param filename: file ocntaining source data :param label: identifier - def plot(self...

0c1894ce8d9f5daed539240d3ac86e645d6de44c

<|skeleton|> class Source: """Stores the data and parameters for sources.""" def __init__(self, filename, label): """Stores the data and parameters for sources. :param filename: file ocntaining source data :param label: identifier""" <|body_0|> def plot(self, style, skymap): """Plo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Source: """Stores the data and parameters for sources.""" def __init__(self, filename, label): """Stores the data and parameters for sources. :param filename: file ocntaining source data :param label: identifier""" self.label = label with h5py.File(filename, 'r') as f: ...

the_stack_v2_python_sparse

stan_implementation/analysis_interface/interfaces/data.py

cescalara/soiaporn_model

train

1

57ed9ad48a7a70730d60af5cde3eb362941d9d37

[ "self.check_connection()\nconnection = self.context.connection\nstdout = self.context.terminal.stdout\ntypename = self.arguments[0]\ntyp = self.resolve_singular_type(typename)\nbase = self.resolve_base(self.options)\nobj = self.read_input()\nif obj is None:\n obj = schema.new(typ)\n obj = self.update_object(o...

<|body_start_0|> self.check_connection() connection = self.context.connection stdout = self.context.terminal.stdout typename = self.arguments[0] typ = self.resolve_singular_type(typename) base = self.resolve_base(self.options) obj = self.read_input() if ob...

CreateCommand

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019004

4,279

permissive

[ { "docstring": "Execute the \"create\" command.", "name": "execute", "signature": "def execute(self)" }, { "docstring": "Show help for \"create\".", "name": "show_help", "signature": "def show_help(self)" } ]

2

stack_v2_sparse_classes_30k_train_001032

Implement the Python class `CreateCommand` described below. Class description: Implement the CreateCommand class. Method signatures and docstrings: - def execute(self): Execute the "create" command. - def show_help(self): Show help for "create".

Implement the Python class `CreateCommand` described below. Class description: Implement the CreateCommand class. Method signatures and docstrings: - def execute(self): Execute the "create" command. - def show_help(self): Show help for "create". <|skeleton|> class CreateCommand: def execute(self): """Ex...

202272404e0770616a650c360fe1f19a82d80be0

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CreateCommand: def execute(self): """Execute the "create" command.""" self.check_connection() connection = self.context.connection stdout = self.context.terminal.stdout typename = self.arguments[0] typ = self.resolve_singular_type(typename) base = self.r...

the_stack_v2_python_sparse

lib/rhevsh/command/create.py

geertj/rhevsh

train

0

2fe38135901178a44aa571c1ef5376ccaa8ec003

[ "super().__init__()\noutput_dim = output_dim or input_dim\nself.composition = composition_resolver.make(composition)\nself.qualifier_composition = composition_resolver.make(qualifier_composition)\nself.qualifier_aggregation = qualifier_aggregation_resolver.make(qualifier_aggregation, pos_kwargs=qualifier_aggregatio...

<|body_start_0|> super().__init__() output_dim = output_dim or input_dim self.composition = composition_resolver.make(composition) self.qualifier_composition = composition_resolver.make(qualifier_composition) self.qualifier_aggregation = qualifier_aggregation_resolver.make(qualif...

StarE's convolution layer with qualifiers.

StarEConvLayer

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StarEConvLayer: """StarE's convolution layer with qualifiers.""" def __init__(self, input_dim: int, output_dim: Optional[int]=None, dropout: float=0.2, activation: Hint[nn.Module]=nn.ReLU, composition: Hint[Composition]=None, qualifier_aggregation: Hint[QualifierAggregation]=None, qualifier_...

stack_v2_sparse_classes_36k_train_019005

9,675

permissive

[ { "docstring": "Initialize the layer. :param input_dim: The input dimension (entity and relation representations). :param output_dim: The output dimension. Defaults to the input dimension. :param dropout: The dropout to apply to the updated entity representations from forward / backward edges (but not for self-...

3

stack_v2_sparse_classes_30k_train_016100

Implement the Python class `StarEConvLayer` described below. Class description: StarE's convolution layer with qualifiers. Method signatures and docstrings: - def __init__(self, input_dim: int, output_dim: Optional[int]=None, dropout: float=0.2, activation: Hint[nn.Module]=nn.ReLU, composition: Hint[Composition]=None...

4921523143ae1f7683091b37174aef6fdc19b74f

<|skeleton|> class StarEConvLayer: """StarE's convolution layer with qualifiers.""" def __init__(self, input_dim: int, output_dim: Optional[int]=None, dropout: float=0.2, activation: Hint[nn.Module]=nn.ReLU, composition: Hint[Composition]=None, qualifier_aggregation: Hint[QualifierAggregation]=None, qualifier_...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StarEConvLayer: """StarE's convolution layer with qualifiers.""" def __init__(self, input_dim: int, output_dim: Optional[int]=None, dropout: float=0.2, activation: Hint[nn.Module]=nn.ReLU, composition: Hint[Composition]=None, qualifier_aggregation: Hint[QualifierAggregation]=None, qualifier_aggregation_k...

the_stack_v2_python_sparse

src/mphrqe/layer/gnn.py

HyperQueryEmbedding/hqe

train

1

5ba7d5df3e648385df930df49e46dba548beffd8

[ "super().__init__(mol, cuda)\nself.fc1 = nn.Linear(1, 16, bias=False)\nself.fc2 = nn.Linear(16, 1, bias=False)\nself.nl_func = torch.nn.Sigmoid()\neps = 1.0\nself.fc1.weight.data *= eps\nself.fc2.weight.data *= eps", "original_shape = ree.shape\nx = ree.reshape(-1, 1)\nx = self.fc1(x)\nx = self.nl_func(x)\nx = se...

<|body_start_0|> super().__init__(mol, cuda) self.fc1 = nn.Linear(1, 16, bias=False) self.fc2 = nn.Linear(16, 1, bias=False) self.nl_func = torch.nn.Sigmoid() eps = 1.0 self.fc1.weight.data *= eps self.fc2.weight.data *= eps <|end_body_0|> <|body_start_1|> ...

BackFlowKernelFullyConnected

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BackFlowKernelFullyConnected: def __init__(self, mol, cuda): """Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\sum_{j\\neq i} f(r_{ij}) (r_i-r_j)""" ...

stack_v2_sparse_classes_36k_train_019006

1,192

permissive

[ { "docstring": "Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\\\sum_{j\\\\neq i} f(r_{ij}) (r_i-r_j)", "name": "__init__", "signature": "def __init__(self, mol, cuda)" ...

2

stack_v2_sparse_classes_30k_train_001372

Implement the Python class `BackFlowKernelFullyConnected` described below. Class description: Implement the BackFlowKernelFullyConnected class. Method signatures and docstrings: - def __init__(self, mol, cuda): Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j T...

439a79e97ee63057e3032d28a1a5ebafd2d5b5e4

<|skeleton|> class BackFlowKernelFullyConnected: def __init__(self, mol, cuda): """Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\sum_{j\\neq i} f(r_{ij}) (r_i-r_j)""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BackFlowKernelFullyConnected: def __init__(self, mol, cuda): """Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\sum_{j\\neq i} f(r_{ij}) (r_i-r_j)""" super().__in...

the_stack_v2_python_sparse

qmctorch/wavefunction/orbitals/backflow/kernels/backflow_kernel_fully_connected.py

NLESC-JCER/QMCTorch

train

22

76fc7ebd3d4cc5f7797c0ef151d1cbecdadf21bc

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn PrinterShare()", "from .group import Group\nfrom .printer import Printer\nfrom .printer_base import PrinterBase\nfrom .printer_share_viewpoint import PrinterShareViewpoint\nfrom .user import User\nfrom .group import Group\nfrom .printe...

PrinterShare

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PrinterShare: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PrinterShare: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: ...

stack_v2_sparse_classes_36k_train_019007

4,184

permissive

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

3

null

Implement the Python class `PrinterShare` described below. Class description: Implement the PrinterShare class. Method signatures and docstrings: - def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PrinterShare: Creates a new instance of the appropriate class based on discriminator value Ar...

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class PrinterShare: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PrinterShare: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PrinterShare: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PrinterShare: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: PrinterShare""...

the_stack_v2_python_sparse

msgraph/generated/models/printer_share.py

microsoftgraph/msgraph-sdk-python

train

135

99471dc8d8095ae4c2b829f35bee4b4dd6dc7bf4

[ "self._file_path = file_path\nself._nbd_path = '/dev/nbd' + str(LoadNbdImage.nbd_port % 16)\nLoadNbdImage.nbd_port = (LoadNbdImage.nbd_port + 1) % 16", "mountpath = self._nbd_path\nlogging.debug('Starting qemu block device emulation ' + mountpath + ' from image ' + self._file_path)\nmodprobe_cmd = ['modprobe', 'n...

Mounts virtual disk via qemu-nbd

LoadNbdImage

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LoadNbdImage: """Mounts virtual disk via qemu-nbd""" def __init__(self, file_path): """Inits object Args: file_path: a path to a file containing virtual disk image. Returns: path to raw disk device to open""" <|body_0|> def __enter__(self): """Map disk image as a...

stack_v2_sparse_classes_36k_train_019008

8,532

no_license

[ { "docstring": "Inits object Args: file_path: a path to a file containing virtual disk image. Returns: path to raw disk device to open", "name": "__init__", "signature": "def __init__(self, file_path)" }, { "docstring": "Map disk image as a device.", "name": "__enter__", "signature": "de...

3

null

Implement the Python class `LoadNbdImage` described below. Class description: Mounts virtual disk via qemu-nbd Method signatures and docstrings: - def __init__(self, file_path): Inits object Args: file_path: a path to a file containing virtual disk image. Returns: path to raw disk device to open - def __enter__(self)...

e01a7e11931a61ae91b9cadbc961d703f8c77925

<|skeleton|> class LoadNbdImage: """Mounts virtual disk via qemu-nbd""" def __init__(self, file_path): """Inits object Args: file_path: a path to a file containing virtual disk image. Returns: path to raw disk device to open""" <|body_0|> def __enter__(self): """Map disk image as a...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LoadNbdImage: """Mounts virtual disk via qemu-nbd""" def __init__(self, file_path): """Inits object Args: file_path: a path to a file containing virtual disk image. Returns: path to raw disk device to open""" self._file_path = file_path self._nbd_path = '/dev/nbd' + str(LoadNbdIma...

the_stack_v2_python_sparse

Migrate/Linux_GC/NbdBundle_utils.py

migrate2iaas/cloudscraper-engine

train

1

5d9b10994e1c8a53e55e6d0357f14a3e76b0a343

[ "motif_info = Motif.objects.get(pk=kwargs['motif_pk'])\nmotifinfo_serializer = self.serializer_class(motif_info)\ncontent = {'motifInfo': motifinfo_serializer.data}\nreturn Response(content, status=status.HTTP_200_OK)", "motif_info = Motif.objects.get(pk=kwargs['motif_pk'])\nif self.request.user.is_authenticated:...

<|body_start_0|> motif_info = Motif.objects.get(pk=kwargs['motif_pk']) motifinfo_serializer = self.serializer_class(motif_info) content = {'motifInfo': motifinfo_serializer.data} return Response(content, status=status.HTTP_200_OK) <|end_body_0|> <|body_start_1|> motif_info = Mot...

모티프 세부페이지 조회

MotifDetailRetrieveUpdateDestroyView

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019009

6,610

no_license

[ { "docstring": "모티프 세부 정보와 연결된 작품 정보", "name": "get", "signature": "def get(self, request, *args, **kwargs)" }, { "docstring": "모티프 제목 수정", "name": "put", "signature": "def put(self, request, *args, **kwargs)" }, { "docstring": "모티프 삭제", "name": "delete", "signature": "de...

3

stack_v2_sparse_classes_30k_train_009954

Implement the Python class `MotifDetailRetrieveUpdateDestroyView` described below. Class description: 모티프 세부페이지 조회 Method signatures and docstrings: - def get(self, request, *args, **kwargs): 모티프 세부 정보와 연결된 작품 정보 - def put(self, request, *args, **kwargs): 모티프 제목 수정 - def delete(self, request, *args, **kwargs): 모티프 삭제

Implement the Python class `MotifDetailRetrieveUpdateDestroyView` described below. Class description: 모티프 세부페이지 조회 Method signatures and docstrings: - def get(self, request, *args, **kwargs): 모티프 세부 정보와 연결된 작품 정보 - def put(self, request, *args, **kwargs): 모티프 제목 수정 - def delete(self, request, *args, **kwargs): 모티프 삭제...

4031afe1b5d45865a61f4ff4136a8314258a917a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MotifDetailRetrieveUpdateDestroyView: """모티프 세부페이지 조회""" def get(self, request, *args, **kwargs): """모티프 세부 정보와 연결된 작품 정보""" motif_info = Motif.objects.get(pk=kwargs['motif_pk']) motifinfo_serializer = self.serializer_class(motif_info) content = {'motifInfo': motifinfo_ser...

the_stack_v2_python_sparse

django_app/motif/apis/motifs.py

Monaegi/Julia-WordyGallery

train

1

c0d6d78684b6939d2a5782ed7631cee4e471df98

[ "if s is not None and t is not None and (abs(len(s) - len(t)) == 1):\n dic = {}\n for i, x in enumerate(s):\n if x not in dic:\n dic[x] = [i]\n else:\n dic[x].append(i)\n other_dic = {}\n for j, y in enumerate(t):\n if y not in dic:\n return y\n ...

<|body_start_0|> if s is not None and t is not None and (abs(len(s) - len(t)) == 1): dic = {} for i, x in enumerate(s): if x not in dic: dic[x] = [i] else: dic[x].append(i) other_dic = {} for ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def find_diff_non_sorted(self, s, t): """worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)""" <|body_0|> def findTheDifference(self, s, t): """:type s: str ...

stack_v2_sparse_classes_36k_train_019010

2,381

no_license

[ { "docstring": "worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)", "name": "find_diff_non_sorted", "signature": "def find_diff_non_sorted(self, s, t)" }, { "docstring": ":type s: str :type t: st...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def find_diff_non_sorted(self, s, t): worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => l...

d551b46c949e12c373250d88959a83f995b80ed9

<|skeleton|> class Solution: def find_diff_non_sorted(self, s, t): """worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)""" <|body_0|> def findTheDifference(self, s, t): """:type s: str ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def find_diff_non_sorted(self, s, t): """worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)""" if s is not None and t is not None and (abs(len(s) - len(t)) == 1): dic = {} ...

the_stack_v2_python_sparse

oj/leet_code/leet-code-389.py

PollobAtGit/python-101

train

0

73d67deb2b33517744f2fa03192e41fa115352de

[ "recipe = {'flour': 500, 'sugar': 200, 'eggs': 1}\navailable = {'flour': 1200, 'sugar': 1200, 'eggs': 5, 'milk': 200}\nself.assertEqual(main.cakes(recipe, available), 2)", "recipe = {'apples': 3, 'flour': 300, 'sugar': 150, 'milk': 100, 'oil': 100}\navailable = {'sugar': 500, 'flour': 2000, 'milk': 2000}\nself.as...

<|body_start_0|> recipe = {'flour': 500, 'sugar': 200, 'eggs': 1} available = {'flour': 1200, 'sugar': 1200, 'eggs': 5, 'milk': 200} self.assertEqual(main.cakes(recipe, available), 2) <|end_body_0|> <|body_start_1|> recipe = {'apples': 3, 'flour': 300, 'sugar': 150, 'milk': 100, 'oil': ...

SampleTests

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SampleTests: def test_extra_stock(self): """Should ignore extra available ingredients""" <|body_0|> def test_missing_ingredient(self): """Should count missing available ingredients as 0""" <|body_1|> <|end_skeleton|> <|body_start_0|> recipe = {'flou...

stack_v2_sparse_classes_36k_train_019011

718

no_license

[ { "docstring": "Should ignore extra available ingredients", "name": "test_extra_stock", "signature": "def test_extra_stock(self)" }, { "docstring": "Should count missing available ingredients as 0", "name": "test_missing_ingredient", "signature": "def test_missing_ingredient(self)" } ]

2

stack_v2_sparse_classes_30k_train_012285

Implement the Python class `SampleTests` described below. Class description: Implement the SampleTests class. Method signatures and docstrings: - def test_extra_stock(self): Should ignore extra available ingredients - def test_missing_ingredient(self): Should count missing available ingredients as 0

Implement the Python class `SampleTests` described below. Class description: Implement the SampleTests class. Method signatures and docstrings: - def test_extra_stock(self): Should ignore extra available ingredients - def test_missing_ingredient(self): Should count missing available ingredients as 0 <|skeleton|> cla...

48b27bca47133357be68735e68b97e68e36246be

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SampleTests: def test_extra_stock(self): """Should ignore extra available ingredients""" recipe = {'flour': 500, 'sugar': 200, 'eggs': 1} available = {'flour': 1200, 'sugar': 1200, 'eggs': 5, 'milk': 200} self.assertEqual(main.cakes(recipe, available), 2) def test_missing_...

the_stack_v2_python_sparse

@Codewars/5_pete-the-baker/tests.py

hosmanadam/coding-challenges

train

0

205d6d848c7c4171ccde137e7fc7c2521fe8c86a

[ "inputSpecification = super().getInputSpecification()\ninputSpecification.addSubSimple('label', InputTypes.StringType)\ninputSpecification.addSubSimple('clusterIDs', InputTypes.IntegerListType)\nreturn inputSpecification", "super().__init__()\nself.setInputDataType('dict')\nself.keepInputMeta(True)\nself.outputMu...

This Post-Processor filters out the points or histories accordingly to a chosen clustering label

dataObjectLabelFilter

[ "Apache-2.0", "LicenseRef-scancode-warranty-disclaimer", "BSD-2-Clause", "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class dataObjectLabelFilter: """This Post-Processor filters out the points or histories accordingly to a chosen clustering label""" def getInputSpecification(cls): """Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for which we are ret...

stack_v2_sparse_classes_36k_train_019012

5,021

permissive

[ { "docstring": "Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for which we are retrieving the specification @ Out, inputSpecification, InputData.ParameterInput, class to use for specifying input of cls.", "name": "getInputSpecification", "signatur...

4

stack_v2_sparse_classes_30k_train_012705

Implement the Python class `dataObjectLabelFilter` described below. Class description: This Post-Processor filters out the points or histories accordingly to a chosen clustering label Method signatures and docstrings: - def getInputSpecification(cls): Method to get a reference to a class that specifies the input data...

2b16e7aa3325fe84cab2477947a951414c635381

<|skeleton|> class dataObjectLabelFilter: """This Post-Processor filters out the points or histories accordingly to a chosen clustering label""" def getInputSpecification(cls): """Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for which we are ret...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class dataObjectLabelFilter: """This Post-Processor filters out the points or histories accordingly to a chosen clustering label""" def getInputSpecification(cls): """Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for which we are retrieving the s...

the_stack_v2_python_sparse

ravenframework/Models/PostProcessors/dataObjectLabelFilter.py

idaholab/raven

train

201

04a80cdb3be33cbb185f369a30b4ec3122a588d3

[ "self.cfg_spec = ConfigObj(config_spec_text.splitlines(), list_values=False)\nself.cfg_filename = filename\nvalid = Validator()\nif not os.path.exists(self.cfg_filename):\n cfg = ConfigObj(configspec=self.cfg_spec, stringify=True, list_values=True)\n cfg.filename = self.cfg_filename\n test = cfg.validate(v...

<|body_start_0|> self.cfg_spec = ConfigObj(config_spec_text.splitlines(), list_values=False) self.cfg_filename = filename valid = Validator() if not os.path.exists(self.cfg_filename): cfg = ConfigObj(configspec=self.cfg_spec, stringify=True, list_values=True) cfg....

Configuration

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Configuration: def __init__(self, filename): """Initializes a config file if does not exist. If exists, uses it to validate the file, and setup default initial parameters""" <|body_0|> def save_config(self, new_config): """Writes the config file upon exiting the prog...

stack_v2_sparse_classes_36k_train_019013

3,999

no_license

[ { "docstring": "Initializes a config file if does not exist. If exists, uses it to validate the file, and setup default initial parameters", "name": "__init__", "signature": "def __init__(self, filename)" }, { "docstring": "Writes the config file upon exiting the program", "name": "save_conf...

2

stack_v2_sparse_classes_30k_train_011244

Implement the Python class `Configuration` described below. Class description: Implement the Configuration class. Method signatures and docstrings: - def __init__(self, filename): Initializes a config file if does not exist. If exists, uses it to validate the file, and setup default initial parameters - def save_conf...

adf081cd95afd9487d0028235eea58a72a1cc05c

<|skeleton|> class Configuration: def __init__(self, filename): """Initializes a config file if does not exist. If exists, uses it to validate the file, and setup default initial parameters""" <|body_0|> def save_config(self, new_config): """Writes the config file upon exiting the prog...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Configuration: def __init__(self, filename): """Initializes a config file if does not exist. If exists, uses it to validate the file, and setup default initial parameters""" self.cfg_spec = ConfigObj(config_spec_text.splitlines(), list_values=False) self.cfg_filename = filename ...

the_stack_v2_python_sparse

dreampy3/utils/configuration.py

lmt-heterodyne/dreampy3

train

0

5ad40d28d2b2e035ecbb3e9e06dcc2808518ea6d

[ "output = [0] * (rowIndex + 1)\nfor i in range(rowIndex + 1):\n previous = output[0] = 1\n for j in range(1, i + 1):\n previous, output[j] = (output[j], previous + output[j])\nreturn output", "if rowIndex < 0:\n return []\noutput = [None] * (rowIndex + 1)\noutput[0] = 1\nfor i in range(1, rowIndex...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019014

1,604

no_license

[ { "docstring": ":type rowIndex: int :rtype: List[int]", "name": "getRow", "signature": "def getRow(self, rowIndex)" }, { "docstring": ":type rowIndex: int :rtype: List[int]", "name": "getRow_verbose", "signature": "def getRow_verbose(self, rowIndex)" } ]

2

null

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

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

e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def getRow(self, rowIndex): """:type rowIndex: int :rtype: List[int]""" output = [0] * (rowIndex + 1) for i in range(rowIndex + 1): previous = output[0] = 1 for j in range(1, i + 1): previous, output[j] = (output[j], previous + output[j...

the_stack_v2_python_sparse

src/lt_119.py

oxhead/CodingYourWay

train

0

5adbf625442d0c86ea01be2e168dada03e9165ca

[ "current_entries = CurrentEntry.objects.filter(user=self.request.user)\npayouts = Payout.objects.filter(entry__in=current_entries)\nlineup_map = {}\nfor entry in current_entries:\n lineup_map[entry.lineup.pk] = entry.lineup\ntotal_buyins = 0\nnum_entries = 0\nwinnings = 0\npossible = 0\ncontest_map = {}\nfor lin...

<|body_start_0|> current_entries = CurrentEntry.objects.filter(user=self.request.user) payouts = Payout.objects.filter(entry__in=current_entries) lineup_map = {} for entry in current_entries: lineup_map[entry.lineup.pk] = entry.lineup total_buyins = 0 num_entr...

inherits UserPlayHistoryAPIView for the get_history_data() method. get the entry history & the Current lineups for a user on a day.

UserPlayHistoryWithCurrentAPIView

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UserPlayHistoryWithCurrentAPIView: """inherits UserPlayHistoryAPIView for the get_history_data() method. get the entry history & the Current lineups for a user on a day.""" def get_current_data(self): """get the Current lineup data""" <|body_0|> def get(self, request, ye...

stack_v2_sparse_classes_36k_train_019015

29,459

no_license

[ { "docstring": "get the Current lineup data", "name": "get_current_data", "signature": "def get_current_data(self)" }, { "docstring": "Given the 'task' parameter, return the status of the task (ie: the buyin) :param request: :param format: :return:", "name": "get", "signature": "def get(...

2

null

Implement the Python class `UserPlayHistoryWithCurrentAPIView` described below. Class description: inherits UserPlayHistoryAPIView for the get_history_data() method. get the entry history & the Current lineups for a user on a day. Method signatures and docstrings: - def get_current_data(self): get the Current lineup ...

4796fa9d88b56f80def011e2b043ce595bfce8c4

<|skeleton|> class UserPlayHistoryWithCurrentAPIView: """inherits UserPlayHistoryAPIView for the get_history_data() method. get the entry history & the Current lineups for a user on a day.""" def get_current_data(self): """get the Current lineup data""" <|body_0|> def get(self, request, ye...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserPlayHistoryWithCurrentAPIView: """inherits UserPlayHistoryAPIView for the get_history_data() method. get the entry history & the Current lineups for a user on a day.""" def get_current_data(self): """get the Current lineup data""" current_entries = CurrentEntry.objects.filter(user=sel...

the_stack_v2_python_sparse

contest/views.py

nakamotohideyoshi/draftboard-web

train

0

f592472ac4961f7bf39d3c5c435f05315a830840

[ "from .models import TrainConfig\npool_over = [CoreConfig(), ReadoutConfig(), Seed(), ShifterConfig(), ModulatorConfig(), TrainConfig()]\nh = self.heading.primary_key\nfor e in chain(*map(attrgetter('heading.primary_key'), pool_over), attrs):\n if e not in attrs:\n h.remove(e)\nreturn self * dj.U(*h).aggr...

<|body_start_0|> from .models import TrainConfig pool_over = [CoreConfig(), ReadoutConfig(), Seed(), ShifterConfig(), ModulatorConfig(), TrainConfig()] h = self.heading.primary_key for e in chain(*map(attrgetter('heading.primary_key'), pool_over), attrs): if e not in attrs: ...

CorePlusReadoutModel

[ "MIT", "CC-BY-NC-ND-4.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CorePlusReadoutModel: def best_modulo(self, *attrs): """Returns: best model according to validation error""" <|body_0|> def build_model(self, key=None, img_shape=None, n_neurons=None, burn_in=15): """Builds a specified model Args: key: key for CNNParameters used to l...

stack_v2_sparse_classes_36k_train_019016

10,246

permissive

[ { "docstring": "Returns: best model according to validation error", "name": "best_modulo", "signature": "def best_modulo(self, *attrs)" }, { "docstring": "Builds a specified model Args: key: key for CNNParameters used to load the parameter of the model. If None, (self & key) must be non-empty so...

2

stack_v2_sparse_classes_30k_train_013205

Implement the Python class `CorePlusReadoutModel` described below. Class description: Implement the CorePlusReadoutModel class. Method signatures and docstrings: - def best_modulo(self, *attrs): Returns: best model according to validation error - def build_model(self, key=None, img_shape=None, n_neurons=None, burn_in...

e1cfb3c0611d6a9f8a27bfa79404e46ccd0a838c

<|skeleton|> class CorePlusReadoutModel: def best_modulo(self, *attrs): """Returns: best model according to validation error""" <|body_0|> def build_model(self, key=None, img_shape=None, n_neurons=None, burn_in=15): """Builds a specified model Args: key: key for CNNParameters used to l...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CorePlusReadoutModel: def best_modulo(self, *attrs): """Returns: best model according to validation error""" from .models import TrainConfig pool_over = [CoreConfig(), ReadoutConfig(), Seed(), ShifterConfig(), ModulatorConfig(), TrainConfig()] h = self.heading.primary_key ...

the_stack_v2_python_sparse

nips2018/movie/_utils.py

nkarantzas/Sinz2018_NIPS

train

0

8c8238b8bab8f285a02a2c26dcdf8fce399d5ebd

[ "environment = SandboxEnvironment(client_id=PAYPAL_CLIENT_ID, client_secret=PAYPAL_CLIENT_SECRET)\nself.client = PayPalHttpClient(environment)\nself.process_notification = {PayPalStrings.WEBHOOK_APPROVED.value: self.capture, PayPalStrings.WEBHOOK_COMPLETED.value: self.fulfill}", "capture_id = wh_data['resource'][...

<|body_start_0|> environment = SandboxEnvironment(client_id=PAYPAL_CLIENT_ID, client_secret=PAYPAL_CLIENT_SECRET) self.client = PayPalHttpClient(environment) self.process_notification = {PayPalStrings.WEBHOOK_APPROVED.value: self.capture, PayPalStrings.WEBHOOK_COMPLETED.value: self.fulfill} <|en...

Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout.

PaypalClient

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PaypalClient: """Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout.""" def __init__(self) -> None: """Инициализирует сессию работы с системой PayPal.""" <...

stack_v2_sparse_classes_36k_train_019017

8,853

no_license

[ { "docstring": "Инициализирует сессию работы с системой PayPal.", "name": "__init__", "signature": "def __init__(self) -> None" }, { "docstring": "Завершает заказ, уведомляет клиента.", "name": "fulfill", "signature": "def fulfill(self, wh_data: Dict[str, Any]) -> None" }, { "doc...

6

stack_v2_sparse_classes_30k_train_011715

Implement the Python class `PaypalClient` described below. Class description: Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout. Method signatures and docstrings: - def __init__(self) -> None: Ини...

015adcc4e138cdcc6163c0f7cb8a5fd6abe43266

<|skeleton|> class PaypalClient: """Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout.""" def __init__(self) -> None: """Инициализирует сессию работы с системой PayPal.""" <...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PaypalClient: """Клиент платёжной системы PayPal. Содержит методы для инициализации сессии и обработки платежей в виде PayPal Checkout - выписки, захвата, верификации и завершения Checkout.""" def __init__(self) -> None: """Инициализирует сессию работы с системой PayPal.""" environment = ...

the_stack_v2_python_sparse

billing/paypal/client.py

half-cat/gu-chatbot-01

train

0

db66c9975d076099c7957f1b3acde7c65f25f5d1

[ "if not array:\n return 0\ndp = [1]\nanswer = 1\nfor i in range(1, len(array)):\n maxLIS = 1\n for j in range(0, i):\n if array[i] > array[j] and dp[j] + 1 > maxLIS:\n maxLIS = dp[j] + 1\n dp.append(maxLIS)\n answer = max(answer, maxLIS)\nreturn answer", "def binarySearch(nums, st...

<|body_start_0|> if not array: return 0 dp = [1] answer = 1 for i in range(1, len(array)): maxLIS = 1 for j in range(0, i): if array[i] > array[j] and dp[j] + 1 > maxLIS: maxLIS = dp[j] + 1 dp.append(maxL...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019018

1,474

no_license

[ { "docstring": ":type array: List[int] :rtype: int", "name": "longestIncreasingSubsequence", "signature": "def longestIncreasingSubsequence(self, array)" }, { "docstring": ":type array: List[int] :rtype: int", "name": "LIS", "signature": "def LIS(self, array)" } ]

2

stack_v2_sparse_classes_30k_train_013825

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

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

fa624b702129fa3efd6997791e4cd37c420e114e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def longestIncreasingSubsequence(self, array): """:type array: List[int] :rtype: int""" if not array: return 0 dp = [1] answer = 1 for i in range(1, len(array)): maxLIS = 1 for j in range(0, i): if array[i] >...

the_stack_v2_python_sparse

p62/p62.py

zois-tasoulas/DailyInterviewPro

train

0

8f9826e7d97a95917e39842cb642baf24cc5eaac

[ "def partition(nums, left, right):\n pivot = nums[left]\n while left < right:\n while left < right and nums[right] >= pivot:\n right -= 1\n nums[left] = nums[right]\n while left < right and nums[left] <= pivot:\n left += 1\n nums[right] = nums[left]\n nums[...

<|body_start_0|> def partition(nums, left, right): pivot = nums[left] while left < right: while left < right and nums[right] >= pivot: right -= 1 nums[left] = nums[right] while left < right and nums[left] <= pivot: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019019

2,555

no_license

[ { "docstring": "给定一个无序数组，输出其中最小的k个数值。借鉴快速排序中的partition操作，直到当前的pivot的位置为数组的第k个位置即可。时间复杂度为O(n)。", "name": "min_k_num", "signature": "def min_k_num(self, nums, k)" }, { "docstring": "给定一个无序数组，输出其中最小的k个数值。此处可以使用大顶堆来做，时间复杂度为O(nlogk)。", "name": "min_k_num1", "signature": "def min_k_num1(self...

2

stack_v2_sparse_classes_30k_train_003897

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def min_k_num(self, nums, k): 给定一个无序数组，输出其中最小的k个数值。借鉴快速排序中的partition操作，直到当前的pivot的位置为数组的第k个位置即可。时间复杂度为O(n)。 - def min_k_num1(self, nums, k): 给定一个无序数组，输出其中最小的k个数值。此处可以使用大顶堆来做，时间...

ca4dacda39dc12d53ed8d4448b3356a3f2936603

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def min_k_num(self, nums, k): """给定一个无序数组，输出其中最小的k个数值。借鉴快速排序中的partition操作，直到当前的pivot的位置为数组的第k个位置即可。时间复杂度为O(n)。""" def partition(nums, left, right): pivot = nums[left] while left < right: while left < right and nums[right] >= pivot: ...

the_stack_v2_python_sparse

book/面试题40-最小的k个数.py

lcqbit11/algorithms

train

0

dedcf12b8adf97baa7b82b4cffa72d9680cd50be

[ "mappings = super().get_mapping(index=index, params=params or {})\nif self.client.__es_version__ == '6':\n for index_name in mappings.keys():\n mappings[index_name]['mappings'] = mappings[index_name]['mappings'][DOC_TYPE]\nreturn mappings", "if self.client.__es_version__ == '6':\n return super().put_...

<|body_start_0|> mappings = super().get_mapping(index=index, params=params or {}) if self.client.__es_version__ == '6': for index_name in mappings.keys(): mappings[index_name]['mappings'] = mappings[index_name]['mappings'][DOC_TYPE] return mappings <|end_body_0|> <|b...

Compatibility wrapper around the ES IndicesClient from elasticsearch-py that handles incompatibilities to let Richie run ES6 and ES7.

ElasticsearchIndicesClientCompat7to6

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ElasticsearchIndicesClientCompat7to6: """Compatibility wrapper around the ES IndicesClient from elasticsearch-py that handles incompatibilities to let Richie run ES6 and ES7.""" def get_mapping(self, index=None, params=None): """Pluck from the dummy type in the mapping if using ES6, ...

stack_v2_sparse_classes_36k_train_019020

3,810

permissive

[ { "docstring": "Pluck from the dummy type in the mapping if using ES6, which nests the actual mapping info under the document type.", "name": "get_mapping", "signature": "def get_mapping(self, index=None, params=None)" }, { "docstring": "Add our dummy type in kwargs of the put_mapping call to sa...

2

null

Implement the Python class `ElasticsearchIndicesClientCompat7to6` described below. Class description: Compatibility wrapper around the ES IndicesClient from elasticsearch-py that handles incompatibilities to let Richie run ES6 and ES7. Method signatures and docstrings: - def get_mapping(self, index=None, params=None)...

f2d46fc46b271eb3b4d565039a29c15ba15f027c

<|skeleton|> class ElasticsearchIndicesClientCompat7to6: """Compatibility wrapper around the ES IndicesClient from elasticsearch-py that handles incompatibilities to let Richie run ES6 and ES7.""" def get_mapping(self, index=None, params=None): """Pluck from the dummy type in the mapping if using ES6, ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ElasticsearchIndicesClientCompat7to6: """Compatibility wrapper around the ES IndicesClient from elasticsearch-py that handles incompatibilities to let Richie run ES6 and ES7.""" def get_mapping(self, index=None, params=None): """Pluck from the dummy type in the mapping if using ES6, which nests t...

the_stack_v2_python_sparse

src/richie/apps/search/elasticsearch.py

openfun/richie

train

238

7980062b4013dc253e530a99f78a67d8565a519d

[ "last_year = datetime.today().replace(year=datetime.today().year - 1)\nfor item in response.css('.entry p'):\n if item.xpath('.//span'):\n continue\n start = self._parse_start(item, response)\n if not start or (start < last_year and (not self.settings.getbool('CITY_SCRAPERS_ARCHIVE'))):\n ret...

<|body_start_0|> last_year = datetime.today().replace(year=datetime.today().year - 1) for item in response.css('.entry p'): if item.xpath('.//span'): continue start = self._parse_start(item, response) if not start or (start < last_year and (not self.se...

ChiInfrastructureTrustSpider

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ChiInfrastructureTrustSpider: def parse(self, response): """`parse` should always `yield` Meeting items. Change the `_parse_id`, `_parse_name`, etc methods to fit your scraping needs.""" <|body_0|> def _parse_start(self, item, response): """Parse start datetime as a ...

stack_v2_sparse_classes_36k_train_019021

3,561

permissive

[ { "docstring": "`parse` should always `yield` Meeting items. Change the `_parse_id`, `_parse_name`, etc methods to fit your scraping needs.", "name": "parse", "signature": "def parse(self, response)" }, { "docstring": "Parse start datetime as a naive datetime object.", "name": "_parse_start"...

4

null

Implement the Python class `ChiInfrastructureTrustSpider` described below. Class description: Implement the ChiInfrastructureTrustSpider class. Method signatures and docstrings: - def parse(self, response): `parse` should always `yield` Meeting items. Change the `_parse_id`, `_parse_name`, etc methods to fit your scr...

611fce6a2705446e25a2fc33e32090a571eb35d1

<|skeleton|> class ChiInfrastructureTrustSpider: def parse(self, response): """`parse` should always `yield` Meeting items. Change the `_parse_id`, `_parse_name`, etc methods to fit your scraping needs.""" <|body_0|> def _parse_start(self, item, response): """Parse start datetime as a ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ChiInfrastructureTrustSpider: def parse(self, response): """`parse` should always `yield` Meeting items. Change the `_parse_id`, `_parse_name`, etc methods to fit your scraping needs.""" last_year = datetime.today().replace(year=datetime.today().year - 1) for item in response.css('.ent...

the_stack_v2_python_sparse

city_scrapers/spiders/chi_infrastructure_trust.py

City-Bureau/city-scrapers

train

308

be76ad3d413e402df7e6ac137d0d26a444ef98f9

[ "super().__init__(max_number=max_number, min_number=min_number, seed=seed)\nself.stamp_size = stamp_size\nself.mag_name = mag_name\nif min_number < 1:\n raise ValueError('At least 1 bright galaxy will be added, so need min_number >=1.')", "if self.mag_name not in table.colnames:\n raise ValueError(f\"Catalo...

<|body_start_0|> super().__init__(max_number=max_number, min_number=min_number, seed=seed) self.stamp_size = stamp_size self.mag_name = mag_name if min_number < 1: raise ValueError('At least 1 bright galaxy will be added, so need min_number >=1.') <|end_body_0|> <|body_start...

Example of basic sampling function features. Includes magnitude cut, restriction on the shape, shift randomization.

BasicSampling

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BasicSampling: """Example of basic sampling function features. Includes magnitude cut, restriction on the shape, shift randomization.""" def __init__(self, max_number: int=4, min_number: int=1, stamp_size: float=24.0, mag_name: str='i_ab', seed: int=DEFAULT_SEED): """Initializes the ...

stack_v2_sparse_classes_36k_train_019022

12,943

permissive

[ { "docstring": "Initializes the basic sampling function. Args: max_number: Defined in parent class. min_number: Defined in parent class. stamp_size: Size of the desired stamp. seed: Seed to initialize randomness for reproducibility. mag_name: Name of the magnitude column in the catalog for cuts.", "name": "...

2

stack_v2_sparse_classes_30k_train_002196

Implement the Python class `BasicSampling` described below. Class description: Example of basic sampling function features. Includes magnitude cut, restriction on the shape, shift randomization. Method signatures and docstrings: - def __init__(self, max_number: int=4, min_number: int=1, stamp_size: float=24.0, mag_na...

f5b716a373f130238100db8980aa0d282822983a

<|skeleton|> class BasicSampling: """Example of basic sampling function features. Includes magnitude cut, restriction on the shape, shift randomization.""" def __init__(self, max_number: int=4, min_number: int=1, stamp_size: float=24.0, mag_name: str='i_ab', seed: int=DEFAULT_SEED): """Initializes the ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BasicSampling: """Example of basic sampling function features. Includes magnitude cut, restriction on the shape, shift randomization.""" def __init__(self, max_number: int=4, min_number: int=1, stamp_size: float=24.0, mag_name: str='i_ab', seed: int=DEFAULT_SEED): """Initializes the basic samplin...

the_stack_v2_python_sparse

btk/sampling_functions.py

LSSTDESC/BlendingToolKit

train

22

3f60918da0a8a5c5a2bc156aef2277b8fc282960

[ "db = self.db_obj.create(db_name)\ntry:\n self.db_obj.createCollection(db, collection, scope)\n created_Collection = self.db_obj.collectionObject(db, collection, scope)\n created_CollectionName = self.collection_obj.collectionName(created_Collection)\n assert created_CollectionName == collection, 'Scope...

<|body_start_0|> db = self.db_obj.create(db_name) try: self.db_obj.createCollection(db, collection, scope) created_Collection = self.db_obj.collectionObject(db, collection, scope) created_CollectionName = self.collection_obj.collectionName(created_Collection) ...

TestScopeCollection

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestScopeCollection: def test_scope_collection_name_with_space(self, db_name, scope, collection): """@summary: Creating scope and collections with space in names""" <|body_0|> def test_same_collection_in_different_scope(self, db_name, no_of_scope, collection): """@su...

stack_v2_sparse_classes_36k_train_019023

4,538

no_license

[ { "docstring": "@summary: Creating scope and collections with space in names", "name": "test_scope_collection_name_with_space", "signature": "def test_scope_collection_name_with_space(self, db_name, scope, collection)" }, { "docstring": "@summary: Creating collection with same name in different ...

4

null

Implement the Python class `TestScopeCollection` described below. Class description: Implement the TestScopeCollection class. Method signatures and docstrings: - def test_scope_collection_name_with_space(self, db_name, scope, collection): @summary: Creating scope and collections with space in names - def test_same_co...

9d78bd43665de2a0099d3e2ecf94495f3379f8fa

<|skeleton|> class TestScopeCollection: def test_scope_collection_name_with_space(self, db_name, scope, collection): """@summary: Creating scope and collections with space in names""" <|body_0|> def test_same_collection_in_different_scope(self, db_name, no_of_scope, collection): """@su...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestScopeCollection: def test_scope_collection_name_with_space(self, db_name, scope, collection): """@summary: Creating scope and collections with space in names""" db = self.db_obj.create(db_name) try: self.db_obj.createCollection(db, collection, scope) created...

the_stack_v2_python_sparse

testsuites/CBLTester/CBL_Functional_tests/APITests/test_scopesCollections.py

couchbaselabs/mobile-testkit

train

15

e2167a7a9ed7fca76e924eafff1113f689c2db97

[ "self.num_classes = num_classes\nself.shape = shape\nself.is_infer = is_infer\nself.image_vector_size = shape[0] * shape[1]\nself.__declare_input_layers__()\nself.__build_nn__()", "self.image = layer.data(name='image', type=paddle.data_type.dense_vector(self.image_vector_size), height=self.shape[0], width=self.sh...

Model

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Model: def __init__(self, num_classes, shape, is_infer=False): """:param num_classes: The size of the character dict. :type num_classes: int :param shape: The size of the input images. :type shape: tuple of 2 int :param is_infer: The boolean parameter indicating inferring or training. :t...

stack_v2_sparse_classes_36k_train_019024

4,286

permissive

[ { "docstring": ":param num_classes: The size of the character dict. :type num_classes: int :param shape: The size of the input images. :type shape: tuple of 2 int :param is_infer: The boolean parameter indicating inferring or training. :type shape: bool", "name": "__init__", "signature": "def __init__(s...

4

stack_v2_sparse_classes_30k_train_020074

Implement the Python class `Model` described below. Class description: Implement the Model class. Method signatures and docstrings: - def __init__(self, num_classes, shape, is_infer=False): :param num_classes: The size of the character dict. :type num_classes: int :param shape: The size of the input images. :type sha...

420527996b6da60ca401717a734329f126ed0680

<|skeleton|> class Model: def __init__(self, num_classes, shape, is_infer=False): """:param num_classes: The size of the character dict. :type num_classes: int :param shape: The size of the input images. :type shape: tuple of 2 int :param is_infer: The boolean parameter indicating inferring or training. :t...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Model: def __init__(self, num_classes, shape, is_infer=False): """:param num_classes: The size of the character dict. :type num_classes: int :param shape: The size of the input images. :type shape: tuple of 2 int :param is_infer: The boolean parameter indicating inferring or training. :type shape: boo...

the_stack_v2_python_sparse

legacy/scene_text_recognition/network_conf.py

chenbjin/models

train

3

696b75df0b02aaf3e5e4cf1316447ab127349268

[ "self.ids = [i for i in range(0, len(matches))]\nself.size = len(matches)\nself.sz = [1 for x in range(0, len(matches))]", "root = i\nwhile root != self.ids[root]:\n root = self.ids[root]\nwhile i != root:\n next = self.ids[i]\n self.ids[i] = root\n i = next\nreturn root", "root1 = self.find(i)\nroo...

This class implements the UnionFind algorithm - attributes: - ids - list containing representative of a given object - size - the size of the overall graph - sz - the sz of each set

UnionFind

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UnionFind: """This class implements the UnionFind algorithm - attributes: - ids - list containing representative of a given object - size - the size of the overall graph - sz - the sz of each set""" def __init__(self, matches): """This coresponds to the make_set operation :param matc...

stack_v2_sparse_classes_36k_train_019025

1,636

no_license

[ { "docstring": "This coresponds to the make_set operation :param matches: list, of stops", "name": "__init__", "signature": "def __init__(self, matches)" }, { "docstring": "This implements the find algorithm with path compreshion :param i: stop to find :return: the representative of a given stop...

3

stack_v2_sparse_classes_30k_train_006785

Implement the Python class `UnionFind` described below. Class description: This class implements the UnionFind algorithm - attributes: - ids - list containing representative of a given object - size - the size of the overall graph - sz - the sz of each set Method signatures and docstrings: - def __init__(self, matche...

69dd19d531bd8a9768a017a7a376c6f28c9ff0c8

<|skeleton|> class UnionFind: """This class implements the UnionFind algorithm - attributes: - ids - list containing representative of a given object - size - the size of the overall graph - sz - the sz of each set""" def __init__(self, matches): """This coresponds to the make_set operation :param matc...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UnionFind: """This class implements the UnionFind algorithm - attributes: - ids - list containing representative of a given object - size - the size of the overall graph - sz - the sz of each set""" def __init__(self, matches): """This coresponds to the make_set operation :param matches: list, of...

the_stack_v2_python_sparse

version_1_0/gtfs/unused/union_find.py

ajtrasatti/Marta_Trip_Chaining

train

0

5e45f898473d8664befd3d2f16c416a7138cd3f2

[ "concept_parsers.ConceptParser([flags.GetReplicationPresentationSpec('The Replication to create.')]).AddToParser(parser)\nreplications_flags.AddReplicationVolumeArg(parser)\nreplications_flags.AddReplicationReplicationScheduleArg(parser)\nreplications_flags.AddReplicationDestinationVolumeParametersArg(parser)\nflag...

<|body_start_0|> concept_parsers.ConceptParser([flags.GetReplicationPresentationSpec('The Replication to create.')]).AddToParser(parser) replications_flags.AddReplicationVolumeArg(parser) replications_flags.AddReplicationReplicationScheduleArg(parser) replications_flags.AddReplicationDes...

Create a Cloud NetApp Volume Replication.

Create

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019026

4,060

permissive

[ { "docstring": "Add args for creating a Replication.", "name": "Args", "signature": "def Args(parser)" }, { "docstring": "Create a Cloud NetApp Volume Replication in the current project.", "name": "Run", "signature": "def Run(self, args)" } ]

2

stack_v2_sparse_classes_30k_train_003967

Implement the Python class `Create` described below. Class description: Create a Cloud NetApp Volume Replication. Method signatures and docstrings: - def Args(parser): Add args for creating a Replication. - def Run(self, args): Create a Cloud NetApp Volume Replication in the current project.

Implement the Python class `Create` described below. Class description: Create a Cloud NetApp Volume Replication. Method signatures and docstrings: - def Args(parser): Add args for creating a Replication. - def Run(self, args): Create a Cloud NetApp Volume Replication in the current project. <|skeleton|> class Creat...

392abf004b16203030e6efd2f0af24db7c8d669e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Create: """Create a Cloud NetApp Volume Replication.""" def Args(parser): """Add args for creating a Replication.""" concept_parsers.ConceptParser([flags.GetReplicationPresentationSpec('The Replication to create.')]).AddToParser(parser) replications_flags.AddReplicationVolumeArg(p...

the_stack_v2_python_sparse

lib/surface/netapp/volumes/replications/create.py

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

train

9

ac2fa46c1256e00fdb5c4366c251eec604b2ff03

[ "left, right = (0, len(nums))\nwhile left < right:\n mid = (left + right) // 2\n if target == nums[mid]:\n return mid\n elif target > nums[mid]:\n left = mid + 1\n else:\n right = mid\nreturn -1", "left, right = (0, len(nums))\nwhile left < right:\n mid = (left + right) // 2\n ...

<|body_start_0|> left, right = (0, len(nums)) while left < right: mid = (left + right) // 2 if target == nums[mid]: return mid elif target > nums[mid]: left = mid + 1 else: right = mid return -1 <|end...

BinarySearch

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BinarySearch: def findExact(self, nums, target): """input nums is a sorted array find the index of target in nums if target cannot be found, return -1""" <|body_0|> def lower_bound(self, nums, target): """similar to C++'s lower_bound input nums is a sorted array find...

stack_v2_sparse_classes_36k_train_019027

2,189

no_license

[ { "docstring": "input nums is a sorted array find the index of target in nums if target cannot be found, return -1", "name": "findExact", "signature": "def findExact(self, nums, target)" }, { "docstring": "similar to C++'s lower_bound input nums is a sorted array find the index of a number in nu...

3

null

Implement the Python class `BinarySearch` described below. Class description: Implement the BinarySearch class. Method signatures and docstrings: - def findExact(self, nums, target): input nums is a sorted array find the index of target in nums if target cannot be found, return -1 - def lower_bound(self, nums, target...

635af6e22aa8eef8e7920a585d43a45a891a8157

<|skeleton|> class BinarySearch: def findExact(self, nums, target): """input nums is a sorted array find the index of target in nums if target cannot be found, return -1""" <|body_0|> def lower_bound(self, nums, target): """similar to C++'s lower_bound input nums is a sorted array find...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BinarySearch: def findExact(self, nums, target): """input nums is a sorted array find the index of target in nums if target cannot be found, return -1""" left, right = (0, len(nums)) while left < right: mid = (left + right) // 2 if target == nums[mid]: ...

the_stack_v2_python_sparse

Search.py

cybelewang/leetcode-python

train

0

71156aeeb4aa55a28606b2986da44c480f05d46a

[ "if args.target_instance:\n raise exceptions.ToolException('You cannot specify [--target-instance] for a global forwarding rule.')\nif args.target_pool:\n raise exceptions.ToolException('You cannot specify [--target-pool] for a global forwarding rule.')\nif getattr(args, 'backend_service', None):\n raise e...

<|body_start_0|> if args.target_instance: raise exceptions.ToolException('You cannot specify [--target-instance] for a global forwarding rule.') if args.target_pool: raise exceptions.ToolException('You cannot specify [--target-pool] for a global forwarding rule.') if geta...

Base class for modifying forwarding rule targets.

ForwardingRulesTargetMutator

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ForwardingRulesTargetMutator: """Base class for modifying forwarding rule targets.""" def ValidateGlobalArgs(self, args): """Validate the global forwarding rules args.""" <|body_0|> def GetGlobalTarget(self, args): """Return the forwarding target for a globally s...

stack_v2_sparse_classes_36k_train_019028

7,875

permissive

[ { "docstring": "Validate the global forwarding rules args.", "name": "ValidateGlobalArgs", "signature": "def ValidateGlobalArgs(self, args)" }, { "docstring": "Return the forwarding target for a globally scoped request.", "name": "GetGlobalTarget", "signature": "def GetGlobalTarget(self,...

5

stack_v2_sparse_classes_30k_train_001019

Implement the Python class `ForwardingRulesTargetMutator` described below. Class description: Base class for modifying forwarding rule targets. Method signatures and docstrings: - def ValidateGlobalArgs(self, args): Validate the global forwarding rules args. - def GetGlobalTarget(self, args): Return the forwarding ta...

c98b58aeb0994e011df960163541e9379ae7ea06

<|skeleton|> class ForwardingRulesTargetMutator: """Base class for modifying forwarding rule targets.""" def ValidateGlobalArgs(self, args): """Validate the global forwarding rules args.""" <|body_0|> def GetGlobalTarget(self, args): """Return the forwarding target for a globally s...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ForwardingRulesTargetMutator: """Base class for modifying forwarding rule targets.""" def ValidateGlobalArgs(self, args): """Validate the global forwarding rules args.""" if args.target_instance: raise exceptions.ToolException('You cannot specify [--target-instance] for a glob...

the_stack_v2_python_sparse

google-cloud-sdk/.install/.backup/lib/googlecloudsdk/api_lib/compute/forwarding_rules_utils.py

KaranToor/MA450

train

1

4d788b6707e63595772759a162b3c62bf18d8c5b

[ "extension = os.path.splitext(path)[1].lower()\nif extension:\n if extension[0] == '.':\n extension = extension[1:]\nreturn extension", "paths = []\nfor path in glob.glob(path_mask):\n extension = self._get_normalized_extension(path)\n if not allowed_formats or extension in allowed_formats:\n ...

Files Manager is responsive for data serialization and files operations. All files loading and saving operations are recommended to be performed via FilesManager class. Also, it's recommended to work with FM using absolute paths to avoid relative paths mess.

FilesManager

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FilesManager: """Files Manager is responsive for data serialization and files operations. All files loading and saving operations are recommended to be performed via FilesManager class. Also, it's recommended to work with FM using absolute paths to avoid relative paths mess.""" def _get_norm...

stack_v2_sparse_classes_36k_train_019029

7,035

permissive

[ { "docstring": "Get normalized file extension. :param path: path :type path: str|basestring :return: lowercased extension without dot :rtype: str|basestring", "name": "_get_normalized_extension", "signature": "def _get_normalized_extension(self, path)" }, { "docstring": "Find all files of allowe...

5

stack_v2_sparse_classes_30k_train_000531

Implement the Python class `FilesManager` described below. Class description: Files Manager is responsive for data serialization and files operations. All files loading and saving operations are recommended to be performed via FilesManager class. Also, it's recommended to work with FM using absolute paths to avoid rel...

768ac74a420f822261c4eb8da72f1d8af3c6bbff

<|skeleton|> class FilesManager: """Files Manager is responsive for data serialization and files operations. All files loading and saving operations are recommended to be performed via FilesManager class. Also, it's recommended to work with FM using absolute paths to avoid relative paths mess.""" def _get_norm...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FilesManager: """Files Manager is responsive for data serialization and files operations. All files loading and saving operations are recommended to be performed via FilesManager class. Also, it's recommended to work with FM using absolute paths to avoid relative paths mess.""" def _get_normalized_extens...

the_stack_v2_python_sparse

nailgun/nailgun/plugins/loaders/files_manager.py

dis-xcom/fuel-web

train

0

3b21e2d89332a9f41311a972ea796464078cd055

[ "self.sensor_refresh_rates = sensor_refresh_rates\nself.plugin_dir = os.path.join(os.path.dirname(__file__), 'plugins')\nself.plugins = sensors_list\nself.statistics = {}\nfor sensor in self.plugins:\n self.statistics[sensor.name] = sensor.currentValue\nself.stop_event = stop_event", "for sensor in self.plugin...

<|body_start_0|> self.sensor_refresh_rates = sensor_refresh_rates self.plugin_dir = os.path.join(os.path.dirname(__file__), 'plugins') self.plugins = sensors_list self.statistics = {} for sensor in self.plugins: self.statistics[sensor.name] = sensor.currentValue ...

Statistics

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019030

1,217

permissive

[ { "docstring": "Record keeping for primitive system parameters", "name": "__init__", "signature": "def __init__(self, sensors_list, stop_event, sensor_refresh_rates)" }, { "docstring": "Generate the stats using the plugins list periodically", "name": "generate", "signature": "def generat...

2

stack_v2_sparse_classes_30k_train_019290

Implement the Python class `Statistics` described below. Class description: Implement the Statistics class. Method signatures and docstrings: - def __init__(self, sensors_list, stop_event, sensor_refresh_rates): Record keeping for primitive system parameters - def generate(self): Generate the stats using the plugins ...

2258dd996da03ac84d1ca3fb09ef51e83a409140

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Statistics: def __init__(self, sensors_list, stop_event, sensor_refresh_rates): """Record keeping for primitive system parameters""" self.sensor_refresh_rates = sensor_refresh_rates self.plugin_dir = os.path.join(os.path.dirname(__file__), 'plugins') self.plugins = sensors_list...

the_stack_v2_python_sparse

ptop/statistics/statistics.py

leovarmak/ptop

train

1

4c6045b0f0c5d3fac93c3347501c6282707ed5c5

[ "if seed == -1:\n self.seed = int(datetime.datetime.now().strftime('%M%S'))\nelse:\n self.seed = seed\nself.cursor = self.seed", "self.infile = open('D:\\\\war-and-peace.txt', 'rb')\nterm = 1\nself.number = 0\nlength = 3226615\nstep = 200\nwhile term < 33:\n self.infile.seek(self.cursor)\n bits_a = se...

WarAndPeacePseudoRandomNumberGenerator

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019031

8,225

no_license

[ { "docstring": "constructor that initializes seed, cursor", "name": "__init__", "signature": "def __init__(self, seed=-1)" }, { "docstring": "Generate the random number by using the seed and the code book", "name": "random", "signature": "def random(self)" } ]

2

stack_v2_sparse_classes_30k_val_000503

Implement the Python class `WarAndPeacePseudoRandomNumberGenerator` described below. Class description: Implement the WarAndPeacePseudoRandomNumberGenerator class. Method signatures and docstrings: - def __init__(self, seed=-1): constructor that initializes seed, cursor - def random(self): Generate the random number ...

679cee68c075040f4da6f4bf4038faeae4fa7494

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WarAndPeacePseudoRandomNumberGenerator: def __init__(self, seed=-1): """constructor that initializes seed, cursor""" if seed == -1: self.seed = int(datetime.datetime.now().strftime('%M%S')) else: self.seed = seed self.cursor = self.seed def random(s...

the_stack_v2_python_sparse

Python/Assignment0702.py

LannyX/Past_School_Projects

train

0

5cbe6ae88821219c29c6cde40bcd0652fc08e99e

[ "super(HAN, self).__init__()\nself.contextSize = contextSize\nself.emb = nn.Embedding(vocabSize, embSize)\nself.wordBiGRU = nn.GRU(embSize, hiddenSize, numLayers, bias, batchFirst, dropout, bidirectional)\nself.wordLinear = nn.Linear(2 * hiddenSize, contextSize)\nself.wordattention = Attention()\nself.sentenceBiGRU...

<|body_start_0|> super(HAN, self).__init__() self.contextSize = contextSize self.emb = nn.Embedding(vocabSize, embSize) self.wordBiGRU = nn.GRU(embSize, hiddenSize, numLayers, bias, batchFirst, dropout, bidirectional) self.wordLinear = nn.Linear(2 * hiddenSize, contextSize) ...

HAN

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class HAN: def __init__(self, vocabSize, numClasses, embSize=embSize, hiddenSize=hiddenSize, numLayers=numLayers, bias=bias, batchFirst=batchFirst, dropout=dropout, bidirectional=bidirectional, contextSize=contextSize): """@doc: HAN @author: Alpaca-Man @date: 2021/2/26 @param: { vocabSize: 单词表...

stack_v2_sparse_classes_36k_train_019032

4,525

no_license

[ { "docstring": "@doc: HAN @author: Alpaca-Man @date: 2021/2/26 @param: { vocabSize: 单词表长度 numClasses: 标签种类数量 embSize: 词向量维度 default 200 hiddenSize: 单向 GRU 隐藏层维度 default 50 numLayers: 双向 GRU 层数 default 1 bias: 偏置 default True batchFirst: 输入序列的第一维度是不是批次 default True dropout: 失活率 default 0 bidirectional: 双向 GRU de...

2

stack_v2_sparse_classes_30k_train_003164

Implement the Python class `HAN` described below. Class description: Implement the HAN class. Method signatures and docstrings: - def __init__(self, vocabSize, numClasses, embSize=embSize, hiddenSize=hiddenSize, numLayers=numLayers, bias=bias, batchFirst=batchFirst, dropout=dropout, bidirectional=bidirectional, conte...

49824925970f0439634dc66a7f19edc512f18a5f

<|skeleton|> class HAN: def __init__(self, vocabSize, numClasses, embSize=embSize, hiddenSize=hiddenSize, numLayers=numLayers, bias=bias, batchFirst=batchFirst, dropout=dropout, bidirectional=bidirectional, contextSize=contextSize): """@doc: HAN @author: Alpaca-Man @date: 2021/2/26 @param: { vocabSize: 单词表...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HAN: def __init__(self, vocabSize, numClasses, embSize=embSize, hiddenSize=hiddenSize, numLayers=numLayers, bias=bias, batchFirst=batchFirst, dropout=dropout, bidirectional=bidirectional, contextSize=contextSize): """@doc: HAN @author: Alpaca-Man @date: 2021/2/26 @param: { vocabSize: 单词表长度 numClasses:...

the_stack_v2_python_sparse

HAN/demo/HAN.py

Alpaca-Man/NLP-Newcomer

train

1

748f6671399641fc2c28caa98032679a5ed29ab9

[ "\"\"\"测试添加购物车\"\"\"\nadd = AddGwcPage(self.driver)\nadd.going_fenlei()\nadd.add_gwc()\ndy = add.dy_add_gwc()\nself.assertEqual(dy, '1')", "\"\"\"测试添加多个商品\"\"\"\nsort = HomePage(self.driver)\nsort.click_sort()\nadd = AddGwcPage(self.driver)\nadd.add_gwc()\nadd.add_gwc()\nadd.add_gwc()\nadd.add_gwc()\ndy = add.dy_...

AddgwcTest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019033

1,517

no_license

[ { "docstring": "MRYX_ST_classification_004", "name": "test_add_gwc", "signature": "def test_add_gwc(self)" }, { "docstring": "MRYX_ST_classification_009", "name": "test_add_goods", "signature": "def test_add_goods(self)" } ]

2

stack_v2_sparse_classes_30k_train_017759

Implement the Python class `AddgwcTest` described below. Class description: Implement the AddgwcTest class. Method signatures and docstrings: - def test_add_gwc(self): MRYX_ST_classification_004 - def test_add_goods(self): MRYX_ST_classification_009

Implement the Python class `AddgwcTest` described below. Class description: Implement the AddgwcTest class. Method signatures and docstrings: - def test_add_gwc(self): MRYX_ST_classification_004 - def test_add_goods(self): MRYX_ST_classification_009 <|skeleton|> class AddgwcTest: def test_add_gwc(self): ...

2325c7854c5625babdb51b5c5e40fa860813a400

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AddgwcTest: def test_add_gwc(self): """MRYX_ST_classification_004""" """测试添加购物车""" add = AddGwcPage(self.driver) add.going_fenlei() add.add_gwc() dy = add.dy_add_gwc() self.assertEqual(dy, '1') def test_add_goods(self): """MRYX_ST_classifica...

the_stack_v2_python_sparse

testcase/test_add_gwc.py

danyubiao/mryx

train

0

7f5fa07dfdf47d370aabd0df0809d47e09be453a

[ "q = [(i, j) for i, row in enumerate(rooms) for j, r in enumerate(row) if not r]\nfor i, j in q:\n for row_index, col_index in ((i + 1, j), (i - 1, j), (i, j + 1), (i, j - 1)):\n if 0 <= row_index < len(rooms) and 0 <= col_index < len(rooms[0]) and (rooms[row_index][col_index] > 2 ** 30):\n roo...

<|body_start_0|> q = [(i, j) for i, row in enumerate(rooms) for j, r in enumerate(row) if not r] for i, j in q: for row_index, col_index in ((i + 1, j), (i - 1, j), (i, j + 1), (i, j - 1)): if 0 <= row_index < len(rooms) and 0 <= col_index < len(rooms[0]) and (rooms[row_index...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def wallsAndGates(self, rooms): """:type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%""" <|body_0|> def wallsAndGates1(self, rooms): "...

stack_v2_sparse_classes_36k_train_019034

1,565

no_license

[ { "docstring": ":type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%", "name": "wallsAndGates", "signature": "def wallsAndGates(self, rooms)" }, { "docstring": ":type rooms: L...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wallsAndGates(self, rooms): :type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and rep...

7e0e917c15d3e35f49da3a00ef395bd5ff180d79

<|skeleton|> class Solution: def wallsAndGates(self, rooms): """:type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%""" <|body_0|> def wallsAndGates1(self, rooms): "...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wallsAndGates(self, rooms): """:type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%""" q = [(i, j) for i, row in enumerate(rooms) for j, r in enumerate(row) if...

the_stack_v2_python_sparse

LeetCode/286_walls_and_gates.py

yao23/Machine_Learning_Playground

train

12

3630e1d4935221b7a211f876330c73a3eba414bf

[ "try:\n params = request._serialize()\n body = self.call('CreateCredential', params)\n response = json.loads(body)\n if 'Error' not in response['Response']:\n model = models.CreateCredentialResponse()\n model._deserialize(response['Response'])\n return model\n else:\n code...

<|body_start_0|> try: params = request._serialize() body = self.call('CreateCredential', params) response = json.loads(body) if 'Error' not in response['Response']: model = models.CreateCredentialResponse() model._deserialize(respon...

TdidClient

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TdidClient: def CreateCredential(self, request): """创建凭证 :param request: Request instance for CreateCredential. :type request: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialRequest` :rtype: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialResponse`""" <|bod...

stack_v2_sparse_classes_36k_train_019035

5,585

permissive

[ { "docstring": "创建凭证 :param request: Request instance for CreateCredential. :type request: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialRequest` :rtype: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialResponse`", "name": "CreateCredential", "signature": "def CreateCredential(sel...

4

null

Implement the Python class `TdidClient` described below. Class description: Implement the TdidClient class. Method signatures and docstrings: - def CreateCredential(self, request): 创建凭证 :param request: Request instance for CreateCredential. :type request: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialReq...

baed8b8e84ed0e8dd19600225796a75405cb922c

<|skeleton|> class TdidClient: def CreateCredential(self, request): """创建凭证 :param request: Request instance for CreateCredential. :type request: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialRequest` :rtype: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialResponse`""" <|bod...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TdidClient: def CreateCredential(self, request): """创建凭证 :param request: Request instance for CreateCredential. :type request: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialRequest` :rtype: :class:`tencentcloud.tdid.v20210519.models.CreateCredentialResponse`""" try: pa...

the_stack_v2_python_sparse

tencentcloud/tdid/v20210519/tdid_client.py

WANGMUXIAN/tencentcloud-sdk-python

train

0

c2cb678146ea4a762ee80322f2d21e95345e7527

[ "self.pattern = pattern\nself.index = index\nself.alive = True\nself.color = qy.graphics.colors.get_color(index)\nself.xdata = np.arange(HISTORY_SIZE)\nself.ydata = np.ones([HISTORY_SIZE]) * -1\nself.plot_curve = axes.plot([], [], color=self.color, lw=2, linestyle='-')[0]\nself.max_line = axes.plot([], [], color=se...

<|body_start_0|> self.pattern = pattern self.index = index self.alive = True self.color = qy.graphics.colors.get_color(index) self.xdata = np.arange(HISTORY_SIZE) self.ydata = np.ones([HISTORY_SIZE]) * -1 self.plot_curve = axes.plot([], [], color=self.color, lw=2,...

curve

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019036

4,797

no_license

[ { "docstring": "An object representing a curve", "name": "__init__", "signature": "def __init__(self, pattern, index, axes)" }, { "docstring": "Add a point to the curve and wrap around when we run out of history", "name": "add_point", "signature": "def add_point(self, value)" }, { ...

4

stack_v2_sparse_classes_30k_train_013307

Implement the Python class `curve` described below. Class description: Implement the curve class. Method signatures and docstrings: - def __init__(self, pattern, index, axes): An object representing a curve - def add_point(self, value): Add a point to the curve and wrap around when we run out of history - def update(...

219b5ddb0aaf184249b8ce66120933c9dd05f774

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class curve: def __init__(self, pattern, index, axes): """An object representing a curve""" self.pattern = pattern self.index = index self.alive = True self.color = qy.graphics.colors.get_color(index) self.xdata = np.arange(HISTORY_SIZE) self.ydata = np.ones([...

the_stack_v2_python_sparse

qy/gui/wxgraph.py

bongkokwei/qy

train

0

225549c3b8e1e926c9f724090095c17ca657b958

[ "@lru_cache(None)\ndef dfs(index: int, hasPre: bool, root: bool) -> int:\n \"\"\"当前在index 前一个点是否选择第一个点是否选择\"\"\"\n if index == n:\n return -INF if hasPre and root else 0\n res = dfs(index + 1, False, root)\n if not hasPre:\n res = max(res, dfs(index + 1, True) + nums[index], root)\n re...

<|body_start_0|> @lru_cache(None) def dfs(index: int, hasPre: bool, root: bool) -> int: """当前在index 前一个点是否选择第一个点是否选择""" if index == n: return -INF if hasPre and root else 0 res = dfs(index + 1, False, root) if not hasPre: r...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019037

1,519

no_license

[ { "docstring": "dfs 考虑第一个选还是不选", "name": "rob", "signature": "def rob(self, nums: List[int]) -> int" }, { "docstring": "dp 考虑第一个选还是不选", "name": "rob2", "signature": "def rob2(self, nums: List[int]) -> int" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rob(self, nums: List[int]) -> int: dfs 考虑第一个选还是不选 - def rob2(self, nums: List[int]) -> int: dp 考虑第一个选还是不选

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rob(self, nums: List[int]) -> int: dfs 考虑第一个选还是不选 - def rob2(self, nums: List[int]) -> int: dp 考虑第一个选还是不选 <|skeleton|> class Solution: def rob(self, nums: List[int]) ->...

7e79e26bb8f641868561b186e34c1127ed63c9e0

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def rob(self, nums: List[int]) -> int: """dfs 考虑第一个选还是不选""" @lru_cache(None) def dfs(index: int, hasPre: bool, root: bool) -> int: """当前在index 前一个点是否选择第一个点是否选择""" if index == n: return -INF if hasPre and root else 0 res = d...

the_stack_v2_python_sparse

11_动态规划/acwingdp专项练习/环形与后效性处理/213. 打家劫舍 II-环形分类讨论.py

981377660LMT/algorithm-study

train

225

48a7b5ad1722b9e2581d8a408e5369de223b4d5f

[ "if not s:\n return False\nsetS = set(s)\nl = [s.count(i) % 2 for i in setS]\nif l.count(1) > 1:\n return False\nreturn True", "if s == s[::-1]:\n return True\ncnt = collections.Counter(s)\nc = 0\nfor key in cnt:\n if cnt[key] % 2 > 0:\n c += 1\n if c > 1:\n return False\nreturn True"...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019038

829

no_license

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

2

null

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

8bb17099be02d997d554519be360ef4aa1c028e3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def canPermutePalindrome(self, s): """:type s: str :rtype: bool""" if not s: return False setS = set(s) l = [s.count(i) % 2 for i in setS] if l.count(1) > 1: return False return True def canPermutePalindrome(self, s): ...

the_stack_v2_python_sparse

Google/1. easy/266. Palindrome Permutation.py

yemao616/summer18

train

0

479c8b711df7bd95d1c9d587ade2469d33f3b92f

[ "self.DetectorObj = Detector(light_type, position, angle)\nself.detector_type = self.DetectorObj.detector_type\nself.psd = self.DetectorObj.psd\nself.intensity = self.DetectorObj.intensity\nself.database = self.DetectorObj.database\nself.position = self.DetectorObj.position\nself.angle = self.DetectorObj.angle\nsel...

<|body_start_0|> self.DetectorObj = Detector(light_type, position, angle) self.detector_type = self.DetectorObj.detector_type self.psd = self.DetectorObj.psd self.intensity = self.DetectorObj.intensity self.database = self.DetectorObj.database self.position = self.Detecto...

TestDetectorTypes

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019039

1,617

permissive

[ { "docstring": "Setup function TestTypes for class Detector", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Function to test data types for class Detector", "name": "test_types", "signature": "def test_types(self)" } ]

2

stack_v2_sparse_classes_30k_train_002366

Implement the Python class `TestDetectorTypes` described below. Class description: Implement the TestDetectorTypes class. Method signatures and docstrings: - def setUp(self): Setup function TestTypes for class Detector - def test_types(self): Function to test data types for class Detector

Implement the Python class `TestDetectorTypes` described below. Class description: Implement the TestDetectorTypes class. Method signatures and docstrings: - def setUp(self): Setup function TestTypes for class Detector - def test_types(self): Function to test data types for class Detector <|skeleton|> class TestDete...

825a0eab64be709efe161b9a48eb54c4bc5c1bef

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestDetectorTypes: def setUp(self): """Setup function TestTypes for class Detector""" self.DetectorObj = Detector(light_type, position, angle) self.detector_type = self.DetectorObj.detector_type self.psd = self.DetectorObj.psd self.intensity = self.DetectorObj.intensity...

the_stack_v2_python_sparse

VLC_devel/class_structure/__auto_gen__/test_Detector.py

wenh81/vlc_simulator

train

0

cbf66a1f03d221085e335d2ae0825b51d8336023

[ "p = 3\npoint1 = np.array(point1)\npoint2 = np.array(point2)\nreturn np.sum(np.absolute(np.subtract(point1, point2)) ** p) ** (1 / p)\nraise NotImplementedError\nraise NotImplementedError", "point1 = np.array(point1)\npoint2 = np.array(point2)\nreturn np.sqrt(np.sum((point1 - point2) ** 2))\nraise NotImplementedE...

Distances

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Distances: def minkowski_distance(point1, point2): """Minkowski distance is the generalized version of Euclidean Distance It is also know as L-p norm (where p>=1) that you have studied in class For our assignment we need to take p=3 Information on Minkowski distance - https://en.wikipedi...

stack_v2_sparse_classes_36k_train_019040

19,229

permissive

[ { "docstring": "Minkowski distance is the generalized version of Euclidean Distance It is also know as L-p norm (where p>=1) that you have studied in class For our assignment we need to take p=3 Information on Minkowski distance - https://en.wikipedia.org/wiki/Minkowski_distance :param point1: List[float] :para...

5

stack_v2_sparse_classes_30k_train_004730

Implement the Python class `Distances` described below. Class description: Implement the Distances class. Method signatures and docstrings: - def minkowski_distance(point1, point2): Minkowski distance is the generalized version of Euclidean Distance It is also know as L-p norm (where p>=1) that you have studied in cl...

385e1a152abfadcc754429c1b1d0fcb2f3d63c6a

<|skeleton|> class Distances: def minkowski_distance(point1, point2): """Minkowski distance is the generalized version of Euclidean Distance It is also know as L-p norm (where p>=1) that you have studied in class For our assignment we need to take p=3 Information on Minkowski distance - https://en.wikipedi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Distances: def minkowski_distance(point1, point2): """Minkowski distance is the generalized version of Euclidean Distance It is also know as L-p norm (where p>=1) that you have studied in class For our assignment we need to take p=3 Information on Minkowski distance - https://en.wikipedia.org/wiki/Min...

the_stack_v2_python_sparse

PA1/KNN/utils.py

kester2015/CSCI-567-Machine-Learning

train

0

da34c3f5ebfb7c342b52fd829cbd21838c150cf6

[ "super(Filterer, self).__init__()\nself.expression = expression\nself.target = target\nself._event = event\nself._regex = None\nreturn", "if self._event is None:\n self._event = DummyEvent()\nreturn self._event", "if self._regex is None:\n self._regex = re.compile(self.expression)\nreturn self._regex", ...

A Filterer filters out strings that don't match an expression.

Filterer

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Filterer: """A Filterer filters out strings that don't match an expression.""" def __init__(self, expression, target, event=None): """:param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter...

stack_v2_sparse_classes_36k_train_019041

1,774

permissive

[ { "docstring": ":param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter", "name": "__init__", "signature": "def __init__(self, expression, target, event=None)" }, { "docstring": ":return: threading eve...

4

stack_v2_sparse_classes_30k_val_000566

Implement the Python class `Filterer` described below. Class description: A Filterer filters out strings that don't match an expression. Method signatures and docstrings: - def __init__(self, expression, target, event=None): :param: - `expression`: A regular expression. - `target`: a target to send matching strings t...

b4d1c77e1d611fe2b30768b42bdc7493afb0ea95

<|skeleton|> class Filterer: """A Filterer filters out strings that don't match an expression.""" def __init__(self, expression, target, event=None): """:param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Filterer: """A Filterer filters out strings that don't match an expression.""" def __init__(self, expression, target, event=None): """:param: - `expression`: A regular expression. - `target`: a target to send matching strings to - `event`: an Event to activate flow through the filter""" s...

the_stack_v2_python_sparse

apetools/commons/filterer.py

russell-n/oldape

train

0

8f7020f1b1247b60d6f0eb3a9f030ad1a8ef62a9

[ "self.spy_on(AsanaWorkspaceListView.get, owner=AsanaWorkspaceListView, call_fake=lambda self, request: HttpResponse('{}', content_type='application/json'))\nrsp = self.client.get(local_site_reverse('asana-workspace-list'))\nself.assertEqual(rsp.status_code, 200)", "self.spy_on(AsanaTaskSearchView.get, owner=Asana...

<|body_start_0|> self.spy_on(AsanaWorkspaceListView.get, owner=AsanaWorkspaceListView, call_fake=lambda self, request: HttpResponse('{}', content_type='application/json')) rsp = self.client.get(local_site_reverse('asana-workspace-list')) self.assertEqual(rsp.status_code, 200) <|end_body_0|> <|b...

Tests for Asana.

AsanaIntegrationTests

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019042

4,041

permissive

[ { "docstring": "Testing AsanaWorkspaceListView", "name": "test_workspace_list", "signature": "def test_workspace_list(self)" }, { "docstring": "Testing AsanaTaskSearchView", "name": "test_task_search", "signature": "def test_task_search(self)" }, { "docstring": "Testing AsanaTask...

5

stack_v2_sparse_classes_30k_val_000749

Implement the Python class `AsanaIntegrationTests` described below. Class description: Tests for Asana. Method signatures and docstrings: - def test_workspace_list(self): Testing AsanaWorkspaceListView - def test_task_search(self): Testing AsanaTaskSearchView - def test_task_search_unpublished(self): Testing AsanaTas...

52bbaecc1227764f3e9a66f03226e0013f2b0c48

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AsanaIntegrationTests: """Tests for Asana.""" def test_workspace_list(self): """Testing AsanaWorkspaceListView""" self.spy_on(AsanaWorkspaceListView.get, owner=AsanaWorkspaceListView, call_fake=lambda self, request: HttpResponse('{}', content_type='application/json')) rsp = self.c...

the_stack_v2_python_sparse

rbintegrations/asana/tests.py

reviewboard/rbintegrations

train

0

5bb07109a927817dcbe841a1183ae684b807ad4d

[ "self.cluster_identifiers = cluster_identifiers\nself.is_active = is_active\nself.is_deleted = is_deleted\nself.region_ids = region_ids\nself.tenant_id = tenant_id\nself.tenant_name = tenant_name\nself.tenant_type = tenant_type", "if dictionary is None:\n return None\ncluster_identifiers = None\nif dictionary....

<|body_start_0|> self.cluster_identifiers = cluster_identifiers self.is_active = is_active self.is_deleted = is_deleted self.region_ids = region_ids self.tenant_id = tenant_id self.tenant_name = tenant_name self.tenant_type = tenant_type <|end_body_0|> <|body_sta...

Implementation of the 'McmUserProfile' model. TODO: type description here. Attributes: cluster_identifiers (list of ClusterIdentifier): Specifies the list of clusters. This is only valid if tenant type is OnPrem. is_active (bool): Specifies whether or not the tenant is active. is_deleted (bool): Specifies whether or no...

McmUserProfile

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class McmUserProfile: """Implementation of the 'McmUserProfile' model. TODO: type description here. Attributes: cluster_identifiers (list of ClusterIdentifier): Specifies the list of clusters. This is only valid if tenant type is OnPrem. is_active (bool): Specifies whether or not the tenant is active. ...

stack_v2_sparse_classes_36k_train_019043

3,425

permissive

[ { "docstring": "Constructor for the McmUserProfile class", "name": "__init__", "signature": "def __init__(self, cluster_identifiers=None, is_active=None, is_deleted=None, region_ids=None, tenant_id=None, tenant_name=None, tenant_type=None)" }, { "docstring": "Creates an instance of this model fr...

2

null

Implement the Python class `McmUserProfile` described below. Class description: Implementation of the 'McmUserProfile' model. TODO: type description here. Attributes: cluster_identifiers (list of ClusterIdentifier): Specifies the list of clusters. This is only valid if tenant type is OnPrem. is_active (bool): Specifie...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class McmUserProfile: """Implementation of the 'McmUserProfile' model. TODO: type description here. Attributes: cluster_identifiers (list of ClusterIdentifier): Specifies the list of clusters. This is only valid if tenant type is OnPrem. is_active (bool): Specifies whether or not the tenant is active. ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class McmUserProfile: """Implementation of the 'McmUserProfile' model. TODO: type description here. Attributes: cluster_identifiers (list of ClusterIdentifier): Specifies the list of clusters. This is only valid if tenant type is OnPrem. is_active (bool): Specifies whether or not the tenant is active. is_deleted (b...

the_stack_v2_python_sparse

cohesity_management_sdk/models/mcm_user_profile.py

cohesity/management-sdk-python

train

24

7a52729afd66878cf5bb3d80fb169202e724bcef

[ "self.s = s\nself.t = t\nself.dict = {}\nself.m = len(s)\nself.n = len(t)\n\ndef dfs(i, j):\n if j >= self.n:\n return 1\n if i >= self.m:\n return 0\n if (i, j) in self.dict:\n return self.dict[i, j]\n if self.s[i] == self.t[j]:\n a = dfs(i + 1, j) + dfs(i + 1, j + 1)\n e...

<|body_start_0|> self.s = s self.t = t self.dict = {} self.m = len(s) self.n = len(t) def dfs(i, j): if j >= self.n: return 1 if i >= self.m: return 0 if (i, j) in self.dict: return self....

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019044

14,277

no_license

[ { "docstring": ":type s: str :type t: str :rtype: int", "name": "numDistinct", "signature": "def numDistinct(self, s, t)" }, { "docstring": ":type s: str :type t: str :rtype: int 252ms", "name": "numDistinct_1", "signature": "def numDistinct_1(self, s, t)" }, { "docstring": ":typ...

4

stack_v2_sparse_classes_30k_train_000019

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def numDistinct(self, s, t): :type s: str :type t: str :rtype: int - def numDistinct_1(self, s, t): :type s: str :type t: str :rtype: int 252ms - def numDistinct_2(self, s, t): :...

679a2b246b8b6bb7fc55ed1c8096d3047d6d4461

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def numDistinct(self, s, t): """:type s: str :type t: str :rtype: int""" self.s = s self.t = t self.dict = {} self.m = len(s) self.n = len(t) def dfs(i, j): if j >= self.n: return 1 if i >= self.m: ...

the_stack_v2_python_sparse

DistinctSubsequences_HARD_115.py

953250587/leetcode-python

train

2

f711134f727746337ffa8ca1d324831a185afde8

[ "newalphabets = []\nmaxcount = 0\nfor i in s:\n if i not in newalphabets:\n newalphabets.append(i)\n else:\n newalphabets = newalphabets[newalphabets.index(i) + 1:]\n newalphabets.append(i)\n if maxcount < len(newalphabets):\n maxcount = len(newalphabets)\nreturn maxcount", "n...

<|body_start_0|> newalphabets = [] maxcount = 0 for i in s: if i not in newalphabets: newalphabets.append(i) else: newalphabets = newalphabets[newalphabets.index(i) + 1:] newalphabets.append(i) if maxcount < len(...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019045

2,187

no_license

[ { "docstring": ":type s: str :rtype: int", "name": "lengthOfLongestSubstring", "signature": "def lengthOfLongestSubstring(self, s)" }, { "docstring": ":type s: str :rtype: int", "name": "lengthOfLongestSubstring2", "signature": "def lengthOfLongestSubstring2(self, s)" } ]

2

stack_v2_sparse_classes_30k_train_020147

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def lengthOfLongestSubstring(self, s): :type s: str :rtype: int - def lengthOfLongestSubstring2(self, s): :type s: str :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def lengthOfLongestSubstring(self, s): :type s: str :rtype: int - def lengthOfLongestSubstring2(self, s): :type s: str :rtype: int <|skeleton|> class Solution: def lengthOf...

786075e0f9f61cf062703bc0b41cc3191d77f033

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def lengthOfLongestSubstring(self, s): """:type s: str :rtype: int""" newalphabets = [] maxcount = 0 for i in s: if i not in newalphabets: newalphabets.append(i) else: newalphabets = newalphabets[newalphabets.ind...

the_stack_v2_python_sparse

3_lengthOfLongestSubstring.py

Anirban2404/LeetCodePractice

train

1

e84be0586edee80e04b2403c807a77b2ec25fede

[ "if request.user.is_staff or request.method in permissions.SAFE_METHODS:\n return True\ntry:\n org = Organization.objects.get(pk=request.data['organization'])\n is_in_org = org.is_admin(request.user) or org.is_member(request.user)\n return is_in_org and super().has_permission(request, view)\nexcept KeyE...

<|body_start_0|> if request.user.is_staff or request.method in permissions.SAFE_METHODS: return True try: org = Organization.objects.get(pk=request.data['organization']) is_in_org = org.is_admin(request.user) or org.is_member(request.user) return is_in_org...

Custom to check if user belongs to org

IsOrgAdminOrMember

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class IsOrgAdminOrMember: """Custom to check if user belongs to org""" def has_permission(self, request, view): """if user is staff or if SAFE request, we're done otherwise check model object perms try for user object if request.user is member or admin of org check perms except: this is or...

stack_v2_sparse_classes_36k_train_019046

5,524

permissive

[ { "docstring": "if user is staff or if SAFE request, we're done otherwise check model object perms try for user object if request.user is member or admin of org check perms except: this is org object, check permissions", "name": "has_permission", "signature": "def has_permission(self, request, view)" ...

2

stack_v2_sparse_classes_30k_val_000234

Implement the Python class `IsOrgAdminOrMember` described below. Class description: Custom to check if user belongs to org Method signatures and docstrings: - def has_permission(self, request, view): if user is staff or if SAFE request, we're done otherwise check model object perms try for user object if request.user...

40d9608295daefc5e1cd83afd84ecb5b0518cc3d

<|skeleton|> class IsOrgAdminOrMember: """Custom to check if user belongs to org""" def has_permission(self, request, view): """if user is staff or if SAFE request, we're done otherwise check model object perms try for user object if request.user is member or admin of org check perms except: this is or...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class IsOrgAdminOrMember: """Custom to check if user belongs to org""" def has_permission(self, request, view): """if user is staff or if SAFE request, we're done otherwise check model object perms try for user object if request.user is member or admin of org check perms except: this is org object, che...

the_stack_v2_python_sparse

app/squac/permissions.py

pnsn/squacapi

train

7

0170bb51f7fd819d904993d49e39490e9376a418

[ "super().__init__(original_radiis, radii, outer_polygon)\nself.points_locations = []\nself.labels = []\nself.wanted_size = wanted_size\nself.load_save = load_save\nself.seed = seed\nfile_name, _ = os.path.splitext(class_path)\ntype_area_name = file_name.split('/')[-1]\nself.full_base_dir = os.path.join(CACHE_BASE_D...

<|body_start_0|> super().__init__(original_radiis, radii, outer_polygon) self.points_locations = [] self.labels = [] self.wanted_size = wanted_size self.load_save = load_save self.seed = seed file_name, _ = os.path.splitext(class_path) type_area_name = fil...

A dataset contains only one class

ClassDataset

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ClassDataset: """A dataset contains only one class""" def __init__(self, class_path: str, class_label: float, original_radiis: List[int], wanted_size: int, radii: List[int]=None, outer_polygon=None, dataset_type_name: str=None, load_save=True, return_point=False, seed=None, only_higher_than=...

stack_v2_sparse_classes_36k_train_019047

4,446

no_license

[ { "docstring": "Args: class_path: The path to the data of the first class wanted in the dataset class_label: The label of the first class wanted in the dataset original_radiis: outer_polygon:", "name": "__init__", "signature": "def __init__(self, class_path: str, class_label: float, original_radiis: Lis...

3

stack_v2_sparse_classes_30k_train_014865

Implement the Python class `ClassDataset` described below. Class description: A dataset contains only one class Method signatures and docstrings: - def __init__(self, class_path: str, class_label: float, original_radiis: List[int], wanted_size: int, radii: List[int]=None, outer_polygon=None, dataset_type_name: str=No...

69c8f1b40de3011d61c7a2720d006c131d6e9a1c

<|skeleton|> class ClassDataset: """A dataset contains only one class""" def __init__(self, class_path: str, class_label: float, original_radiis: List[int], wanted_size: int, radii: List[int]=None, outer_polygon=None, dataset_type_name: str=None, load_save=True, return_point=False, seed=None, only_higher_than=...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ClassDataset: """A dataset contains only one class""" def __init__(self, class_path: str, class_label: float, original_radiis: List[int], wanted_size: int, radii: List[int]=None, outer_polygon=None, dataset_type_name: str=None, load_save=True, return_point=False, seed=None, only_higher_than=None): ...

the_stack_v2_python_sparse

topo2vec/datasets/class_dataset.py

urielsinger/topo2vec

train

2

b497b821e44b172745f74e29be8c5765a100419d

[ "before = stackless.getruncount()\nthread, task = self.create_thread_task()\ntry:\n after = stackless.getruncount()\n self.assertEqual(before, after)\n task.remove()\n after = stackless.getruncount()\n self.assertEqual(before, after)\nfinally:\n thread.join()", "thread, task = self.create_thread...

<|body_start_0|> before = stackless.getruncount() thread, task = self.create_thread_task() try: after = stackless.getruncount() self.assertEqual(before, after) task.remove() after = stackless.getruncount() self.assertEqual(before, after...

TestRemove

[ "Python-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestRemove: def test_remove_balance(self): """Test that remove from the runqueue of a remote thread does not affect the bookkeeping of the current thread.""" <|body_0|> def test_insert_balance(self): """Test that insert into the runqueue of a remote thread does not a...

stack_v2_sparse_classes_36k_train_019048

19,302

permissive

[ { "docstring": "Test that remove from the runqueue of a remote thread does not affect the bookkeeping of the current thread.", "name": "test_remove_balance", "signature": "def test_remove_balance(self)" }, { "docstring": "Test that insert into the runqueue of a remote thread does not affect the ...

2

stack_v2_sparse_classes_30k_train_007399

Implement the Python class `TestRemove` described below. Class description: Implement the TestRemove class. Method signatures and docstrings: - def test_remove_balance(self): Test that remove from the runqueue of a remote thread does not affect the bookkeeping of the current thread. - def test_insert_balance(self): T...

7edf8148e34b9f73ca6433ceb43a1770f4fa32c1

<|skeleton|> class TestRemove: def test_remove_balance(self): """Test that remove from the runqueue of a remote thread does not affect the bookkeeping of the current thread.""" <|body_0|> def test_insert_balance(self): """Test that insert into the runqueue of a remote thread does not a...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestRemove: def test_remove_balance(self): """Test that remove from the runqueue of a remote thread does not affect the bookkeeping of the current thread.""" before = stackless.getruncount() thread, task = self.create_thread_task() try: after = stackless.getruncount...

the_stack_v2_python_sparse

libs/stackless/Stackless/unittests/test_thread.py

masomel/py-import-analysis

train

1

f2e3089fd4f1179f25a16c39cadd49fb3d572b09

[ "assert check_argument_types()\nsuper(StyleEncoder, self).__init__()\nself.ref_enc = ReferenceEncoder(idim=idim, conv_layers=conv_layers, conv_chans_list=conv_chans_list, conv_kernel_size=conv_kernel_size, conv_stride=conv_stride, gru_layers=gru_layers, gru_units=gru_units)\nself.stl = StyleTokenLayer(ref_embed_dim...

<|body_start_0|> assert check_argument_types() super(StyleEncoder, self).__init__() self.ref_enc = ReferenceEncoder(idim=idim, conv_layers=conv_layers, conv_chans_list=conv_chans_list, conv_kernel_size=conv_kernel_size, conv_stride=conv_stride, gru_layers=gru_layers, gru_units=gru_units) ...

Style encoder. This module is style encoder introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org/abs/1803.09017 Parameters ---------- idim : ...

StyleEncoder

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StyleEncoder: """Style encoder. This module is style encoder introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org/abs/...

stack_v2_sparse_classes_36k_train_019049

10,798

permissive

[ { "docstring": "Initilize global style encoder module.", "name": "__init__", "signature": "def __init__(self, idim: int=80, gst_tokens: int=10, gst_token_dim: int=256, gst_heads: int=4, conv_layers: int=6, conv_chans_list: Sequence[int]=(32, 32, 64, 64, 128, 128), conv_kernel_size: int=3, conv_stride: i...

2

null

Implement the Python class `StyleEncoder` described below. Class description: Style encoder. This module is style encoder introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Sp...

8705a2a8405e3c63f2174d69880d2b5525a6c9fd

<|skeleton|> class StyleEncoder: """Style encoder. This module is style encoder introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org/abs/...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StyleEncoder: """Style encoder. This module is style encoder introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org/abs/1803.09017 Pa...

the_stack_v2_python_sparse

parakeet/modules/style_encoder.py

PaddlePaddle/Parakeet

train

609

948200a3aa71ad284b4e952656ffb33e90ff03fc

[ "num_stack = []\nstr_stack = []\nans = ''\ni = 0\nwhile i < len(s):\n if s[i].isdigit():\n count = 0\n while s[i].isdigit():\n count = count * 10 + int(s[i])\n i += 1\n num_stack.append(count)\n elif s[i] == '[':\n str_stack.append(ans)\n ans = ''\n ...

<|body_start_0|> num_stack = [] str_stack = [] ans = '' i = 0 while i < len(s): if s[i].isdigit(): count = 0 while s[i].isdigit(): count = count * 10 + int(s[i]) i += 1 num_stack.a...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019050

2,320

no_license

[ { "docstring": "使用 stack :type s: str :rtype: str", "name": "decodeString2", "signature": "def decodeString2(self, s)" }, { "docstring": "更清晰的 stack :type s: str :rtype: str", "name": "decodeString", "signature": "def decodeString(self, s)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def decodeString2(self, s): 使用 stack :type s: str :rtype: str - def decodeString(self, s): 更清晰的 stack :type s: str :rtype: str

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def decodeString2(self, s): 使用 stack :type s: str :rtype: str - def decodeString(self, s): 更清晰的 stack :type s: str :rtype: str <|skeleton|> class Solution: def decodeString...

852fad258f5070c7b93c35252f7404e85e709ea6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def decodeString2(self, s): """使用 stack :type s: str :rtype: str""" num_stack = [] str_stack = [] ans = '' i = 0 while i < len(s): if s[i].isdigit(): count = 0 while s[i].isdigit(): count ...

the_stack_v2_python_sparse

301-400/394. Decode String.py

SunnyMarkLiu/LeetCode

train

1

17889c6eb7e0816b84fdf03be8a221891bcb466e

[ "res = []\n\ndef dfs(node, count):\n if not node:\n return\n count = count * 10 + node.val if count else node.val\n if not node.left and (not node.right):\n res.append(count)\n return\n dfs(node.left, count)\n dfs(node.right, count)\n return res\ndfs(root, 0)\nreturn sum(res)"...

<|body_start_0|> res = [] def dfs(node, count): if not node: return count = count * 10 + node.val if count else node.val if not node.left and (not node.right): res.append(count) return dfs(node.left, count) ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019051

1,818

no_license

[ { "docstring": "递归记录每条path，最后结算", "name": "sumNumbers1", "signature": "def sumNumbers1(self, root: TreeNode) -> int" }, { "docstring": "利用队列，每次将当前结点及其sum入队", "name": "sumNumbers2", "signature": "def sumNumbers2(self, root: TreeNode) -> int" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def sumNumbers1(self, root: TreeNode) -> int: 递归记录每条path，最后结算 - def sumNumbers2(self, root: TreeNode) -> int: 利用队列，每次将当前结点及其sum入队

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def sumNumbers1(self, root: TreeNode) -> int: 递归记录每条path，最后结算 - def sumNumbers2(self, root: TreeNode) -> int: 利用队列，每次将当前结点及其sum入队 <|skeleton|> class Solution: def sumNumber...

2bbb1640589aab34f2bc42489283033cc11fb885

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def sumNumbers1(self, root: TreeNode) -> int: """递归记录每条path，最后结算""" res = [] def dfs(node, count): if not node: return count = count * 10 + node.val if count else node.val if not node.left and (not node.right): ...

the_stack_v2_python_sparse

129_sum-root-to-leaf-numbers.py

helloocc/algorithm

train

1

66690568fc1d7b928c854eef69014e530787aafb

[ "super(RPN, self).__init__()\nself.k = k\nself.conv = nn.Sequential(nn.Conv2d(in_channels, in_channels, kernel_size=window_size, padding=0), nn.ReLU(), nn.Conv2d(in_channels, in_channels, kernel_size=1), nn.ReLU(), nn.Conv2d(in_channels, (4 + 1) * k, kernel_size=1))", "x = self.conv(x)\nx = x.permute(0, 2, 3, 1)....

<|body_start_0|> super(RPN, self).__init__() self.k = k self.conv = nn.Sequential(nn.Conv2d(in_channels, in_channels, kernel_size=window_size, padding=0), nn.ReLU(), nn.Conv2d(in_channels, in_channels, kernel_size=1), nn.ReLU(), nn.Conv2d(in_channels, (4 + 1) * k, kernel_size=1)) <|end_body_0|> ...

The Region Proposal Network finds interesting regions in an image, which will then be further inspected by the RCNN.

RPN

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RPN: """The Region Proposal Network finds interesting regions in an image, which will then be further inspected by the RCNN.""" def __init__(self, in_channels, k, window_size): """:param in_channels: Integer. Number of channels of the given feature map. :param k: Integer. Number of a...

stack_v2_sparse_classes_36k_train_019052

1,332

permissive

[ { "docstring": ":param in_channels: Integer. Number of channels of the given feature map. :param k: Integer. Number of anchors. :param window_size: Integer. The size of the sliding window the RPN uses.", "name": "__init__", "signature": "def __init__(self, in_channels, k, window_size)" }, { "doc...

2

stack_v2_sparse_classes_30k_train_018907

Implement the Python class `RPN` described below. Class description: The Region Proposal Network finds interesting regions in an image, which will then be further inspected by the RCNN. Method signatures and docstrings: - def __init__(self, in_channels, k, window_size): :param in_channels: Integer. Number of channels...

152c52515426a545508580a21687e15706312f99

<|skeleton|> class RPN: """The Region Proposal Network finds interesting regions in an image, which will then be further inspected by the RCNN.""" def __init__(self, in_channels, k, window_size): """:param in_channels: Integer. Number of channels of the given feature map. :param k: Integer. Number of a...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RPN: """The Region Proposal Network finds interesting regions in an image, which will then be further inspected by the RCNN.""" def __init__(self, in_channels, k, window_size): """:param in_channels: Integer. Number of channels of the given feature map. :param k: Integer. Number of anchors. :para...

the_stack_v2_python_sparse

lib/rpn_efficient.py

mctigger/understandable-faster-rcnn

train

1

ebe80767ea33ac0f78a5127e9a7a4a799da4957c

[ "self.data = list()\nself.data_len = 0\nself.start_idx = -1\nself.size = size\nself.average = None", "self.data.append(val)\nself.data_len += 1\nprint(self.data_len, val, self.start_idx, self.size)\nif self.data_len <= self.size:\n if self.data_len == 1:\n self.average = self.data[0]\n else:\n ...

MovingAverage

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019053

1,298

no_license

[ { "docstring": "Initialize your data structure here. :type size: int", "name": "__init__", "signature": "def __init__(self, size)" }, { "docstring": ":type val: int :rtype: float", "name": "next", "signature": "def next(self, val)" } ]

2

stack_v2_sparse_classes_30k_train_007178

Implement the Python class `MovingAverage` described below. Class description: Implement the MovingAverage class. Method signatures and docstrings: - def __init__(self, size): Initialize your data structure here. :type size: int - def next(self, val): :type val: int :rtype: float

Implement the Python class `MovingAverage` described below. Class description: Implement the MovingAverage class. Method signatures and docstrings: - def __init__(self, size): Initialize your data structure here. :type size: int - def next(self, val): :type val: int :rtype: float <|skeleton|> class MovingAverage: ...

5e48a72a20456d5c6ecbefe776a1c5e08d2c7e46

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MovingAverage: def __init__(self, size): """Initialize your data structure here. :type size: int""" self.data = list() self.data_len = 0 self.start_idx = -1 self.size = size self.average = None def next(self, val): """:type val: int :rtype: float"""...

the_stack_v2_python_sparse

code_bases/python_coding_practice/moving_average.py

sgarg87/sahilgarg.github.io

train

0

77e3d562df9d9fcbfa5e8058db904decf2df2dba

[ "for i in self._inOrderGen(self.root):\n if re.match(str(string), str(i[0])):\n yield i[0]", "def generate(root):\n if root:\n yield list(generate(root.left))\n val = root.val[:5]\n val.append(root.val[5].treestr())\n val.append(root.val[6].treestr())\n yield (root....

User_BST

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019054

9,078

no_license

[ { "docstring": "Simple similarity search for user tree Time complexity: O(n)", "name": "simsearch", "signature": "def simsearch(self, string)" }, { "docstring": "Returns string of nested lists that can be used to build the tree (using the Date treestr)", "name": "treestr", "signature": "...

3

stack_v2_sparse_classes_30k_train_012871

Implement the Python class `User_BST` described below. Class description: Implement the User_BST class. Method signatures and docstrings: - def simsearch(self, string): Simple similarity search for user tree Time complexity: O(n) - def treestr(self): Returns string of nested lists that can be used to build the tree (...

ec7d6fc488f7b82c35a073fe3ea374de2aa0b16a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class User_BST: def simsearch(self, string): """Simple similarity search for user tree Time complexity: O(n)""" for i in self._inOrderGen(self.root): if re.match(str(string), str(i[0])): yield i[0] def treestr(self): """Returns string of nested lists that can...

the_stack_v2_python_sparse

CEP Y3/Unit 2.10 Final Project/cds_attributetrees.py

HTY2003/CEP-Stuff

train

0

97b837d05e8224b61c81fcfbfc16dcd68475beef

[ "self.channel_count = channel_count\nself.node = node\nself.port = port\nself.sbt_host_params = sbt_host_params", "if dictionary is None:\n return None\nchannel_count = dictionary.get('channelCount')\nnode = dictionary.get('node')\nport = dictionary.get('port')\nsbt_host_params = cohesity_management_sdk.models...

Implementation of the 'OracleDatabaseNode' model. Oracle Database Node. Specifies database node required for the backup and restore. Attributes: channel_count (int): Specifies the number of channels user wants for the backup/recovery of this node. node (string): Specifies the ip of the database node. port (long|int): S...

OracleDatabaseNode

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class OracleDatabaseNode: """Implementation of the 'OracleDatabaseNode' model. Oracle Database Node. Specifies database node required for the backup and restore. Attributes: channel_count (int): Specifies the number of channels user wants for the backup/recovery of this node. node (string): Specifies t...

stack_v2_sparse_classes_36k_train_019055

2,417

permissive

[ { "docstring": "Constructor for the OracleDatabaseNode class", "name": "__init__", "signature": "def __init__(self, channel_count=None, node=None, port=None, sbt_host_params=None)" }, { "docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary ...

2

null

Implement the Python class `OracleDatabaseNode` described below. Class description: Implementation of the 'OracleDatabaseNode' model. Oracle Database Node. Specifies database node required for the backup and restore. Attributes: channel_count (int): Specifies the number of channels user wants for the backup/recovery o...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class OracleDatabaseNode: """Implementation of the 'OracleDatabaseNode' model. Oracle Database Node. Specifies database node required for the backup and restore. Attributes: channel_count (int): Specifies the number of channels user wants for the backup/recovery of this node. node (string): Specifies t...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class OracleDatabaseNode: """Implementation of the 'OracleDatabaseNode' model. Oracle Database Node. Specifies database node required for the backup and restore. Attributes: channel_count (int): Specifies the number of channels user wants for the backup/recovery of this node. node (string): Specifies the ip of the ...

the_stack_v2_python_sparse

cohesity_management_sdk/models/oracle_database_node.py

cohesity/management-sdk-python

train

24

31a4a342f31a57810703d08bd801f2a502c019d4

[ "import bisect\nlen_nums = len(nums)\nlis_arr = [None] * len_nums\nlis_len = 0\nfor i in range(len_nums):\n j = 0\n j = bisect.bisect_left(lis_arr, nums[i], 0, lis_len)\n if lis_len == j:\n lis_len += 1\n lis_arr[j] = nums[i]\nreturn lis_len", "len_nums = len(nums)\nlis_arr = [None] * len_nums\...

<|body_start_0|> import bisect len_nums = len(nums) lis_arr = [None] * len_nums lis_len = 0 for i in range(len_nums): j = 0 j = bisect.bisect_left(lis_arr, nums[i], 0, lis_len) if lis_len == j: lis_len += 1 lis_arr[j...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019056

4,367

no_license

[ { "docstring": ":type nums: List[int] :rtype: int", "name": "lengthOfLIS_dp_nlogn_by_binary_search", "signature": "def lengthOfLIS_dp_nlogn_by_binary_search(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: int", "name": "lengthOfLIS_dp_n2_by_search", "signature": "def length...

5

stack_v2_sparse_classes_30k_train_012942

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def lengthOfLIS_dp_nlogn_by_binary_search(self, nums): :type nums: List[int] :rtype: int - def lengthOfLIS_dp_n2_by_search(self, nums): :type nums: List[int] :rtype: int - def le...

83e5dea02e99e512d2b34dac05dabebfdb66ef2a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def lengthOfLIS_dp_nlogn_by_binary_search(self, nums): """:type nums: List[int] :rtype: int""" import bisect len_nums = len(nums) lis_arr = [None] * len_nums lis_len = 0 for i in range(len_nums): j = 0 j = bisect.bisect_left(lis...

the_stack_v2_python_sparse

dynamic_programming/300_lengthOfLIS.py

wscheng/LeetCode

train

0

c87fe27c1723ac436172bcc6e911e7809e0d8363

[ "super(Encoder, self).__init__(d_model, d_k, d_v, sequence_length, h, batch_size, num_layer=num_layer)\nself.Q = Q\nself.K_s = K_s\nself.mask = mask\nself.initializer = tf.random_normal_initializer(stddev=0.1)\nself.dropout_keep_prob = dropout_keep_prob\nself.use_residual_conn = use_residual_conn", "start = time....

<|body_start_0|> super(Encoder, self).__init__(d_model, d_k, d_v, sequence_length, h, batch_size, num_layer=num_layer) self.Q = Q self.K_s = K_s self.mask = mask self.initializer = tf.random_normal_initializer(stddev=0.1) self.dropout_keep_prob = dropout_keep_prob ...

Encoder

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Encoder: def __init__(self, d_model, d_k, d_v, sequence_length, h, batch_size, num_layer, Q, K_s, mask=None, dropout_keep_prob=0.9, use_residual_conn=True): """:param d_model: :param d_k: :param d_v: :param sequence_length: :param h: :param batch_size: :param embedded_words: shape:[batch...

stack_v2_sparse_classes_36k_train_019057

6,839

permissive

[ { "docstring": ":param d_model: :param d_k: :param d_v: :param sequence_length: :param h: :param batch_size: :param embedded_words: shape:[batch_size*sequence_length,embed_size]", "name": "__init__", "signature": "def __init__(self, d_model, d_k, d_v, sequence_length, h, batch_size, num_layer, Q, K_s, m...

3

stack_v2_sparse_classes_30k_train_017971

Implement the Python class `Encoder` described below. Class description: Implement the Encoder class. Method signatures and docstrings: - def __init__(self, d_model, d_k, d_v, sequence_length, h, batch_size, num_layer, Q, K_s, mask=None, dropout_keep_prob=0.9, use_residual_conn=True): :param d_model: :param d_k: :par...

480c909e0835a455606e829310ff949c9dd23549

<|skeleton|> class Encoder: def __init__(self, d_model, d_k, d_v, sequence_length, h, batch_size, num_layer, Q, K_s, mask=None, dropout_keep_prob=0.9, use_residual_conn=True): """:param d_model: :param d_k: :param d_v: :param sequence_length: :param h: :param batch_size: :param embedded_words: shape:[batch...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Encoder: def __init__(self, d_model, d_k, d_v, sequence_length, h, batch_size, num_layer, Q, K_s, mask=None, dropout_keep_prob=0.9, use_residual_conn=True): """:param d_model: :param d_k: :param d_v: :param sequence_length: :param h: :param batch_size: :param embedded_words: shape:[batch_size*sequence...

the_stack_v2_python_sparse

bert_language_understanding-master/bert_language_understanding-master/model/encoder.py

yyht/BERT

train

37

ee7d52d259b4bf74c3a544385ad0251ef980c1f0

[ "super(Fuzzy, self).__init__()\nif field_name and value:\n self.set_field(field_name, value)", "if not isinstance(value, str) or not isinstance(field_name, str):\n raise pylastica.exception.InvalidException('field_name and value parameters must be str.')\nreturn self.set_param(field_name, {'value': value})"...

Fuzzy

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Fuzzy: def __init__(self, field_name=None, value=None): """Set either both parameters or neither. @param field_name: field name @type field_name: str @param value: search string @type value: str""" <|body_0|> def set_field(self, field_name, value): """@param field_na...

stack_v2_sparse_classes_36k_train_019058

1,434

permissive

[ { "docstring": "Set either both parameters or neither. @param field_name: field name @type field_name: str @param value: search string @type value: str", "name": "__init__", "signature": "def __init__(self, field_name=None, value=None)" }, { "docstring": "@param field_name: @type field_name: str...

3

stack_v2_sparse_classes_30k_train_012233

Implement the Python class `Fuzzy` described below. Class description: Implement the Fuzzy class. Method signatures and docstrings: - def __init__(self, field_name=None, value=None): Set either both parameters or neither. @param field_name: field name @type field_name: str @param value: search string @type value: str...

0fbf68ed3e17d665e3cdf1913444ebf1f72693dd

<|skeleton|> class Fuzzy: def __init__(self, field_name=None, value=None): """Set either both parameters or neither. @param field_name: field name @type field_name: str @param value: search string @type value: str""" <|body_0|> def set_field(self, field_name, value): """@param field_na...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Fuzzy: def __init__(self, field_name=None, value=None): """Set either both parameters or neither. @param field_name: field name @type field_name: str @param value: search string @type value: str""" super(Fuzzy, self).__init__() if field_name and value: self.set_field(field_...

the_stack_v2_python_sparse

pylastica/query/fuzzy.py

jlinn/pylastica

train

5

0614b9daee019bb698a7bc855dfb6bb4d67e71c0

[ "super(CPUTimeProfiler, self).__init__()\nself._identifier = identifier\nself._profile_measurements = {}\nself._sample_file = u'{0:s}-{1!s}.csv'.format(self._FILENAME_PREFIX, identifier)", "if profile_name not in self._profile_measurements:\n return\nself._profile_measurements[profile_name].SampleStop()", "i...

<|body_start_0|> super(CPUTimeProfiler, self).__init__() self._identifier = identifier self._profile_measurements = {} self._sample_file = u'{0:s}-{1!s}.csv'.format(self._FILENAME_PREFIX, identifier) <|end_body_0|> <|body_start_1|> if profile_name not in self._profile_measuremen...

The CPU time profiler.

CPUTimeProfiler

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CPUTimeProfiler: """The CPU time profiler.""" def __init__(self, identifier): """Initializes the CPU time profiler object. Args: identifier: the profile identifier.""" <|body_0|> def StopTiming(self, profile_name): """Stops timing CPU time. Args: profile_name: th...

stack_v2_sparse_classes_36k_train_019059

4,630

permissive

[ { "docstring": "Initializes the CPU time profiler object. Args: identifier: the profile identifier.", "name": "__init__", "signature": "def __init__(self, identifier)" }, { "docstring": "Stops timing CPU time. Args: profile_name: the name of the profile to sample.", "name": "StopTiming", ...

4

null

Implement the Python class `CPUTimeProfiler` described below. Class description: The CPU time profiler. Method signatures and docstrings: - def __init__(self, identifier): Initializes the CPU time profiler object. Args: identifier: the profile identifier. - def StopTiming(self, profile_name): Stops timing CPU time. A...

923797fc00664fa9e3277781b0334d6eed5664fd

<|skeleton|> class CPUTimeProfiler: """The CPU time profiler.""" def __init__(self, identifier): """Initializes the CPU time profiler object. Args: identifier: the profile identifier.""" <|body_0|> def StopTiming(self, profile_name): """Stops timing CPU time. Args: profile_name: th...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CPUTimeProfiler: """The CPU time profiler.""" def __init__(self, identifier): """Initializes the CPU time profiler object. Args: identifier: the profile identifier.""" super(CPUTimeProfiler, self).__init__() self._identifier = identifier self._profile_measurements = {} ...

the_stack_v2_python_sparse

plaso/engine/profiler.py

CNR-ITTIG/plasodfaxp

train

1

a12ed7bcb2d5d6bb4440aeac4ef8d57dec03e4e0

[ "kwargs = {field_name: value for field_name, value in self.cleaned_data.items() if value or value is False or value == 0}\nq_objects = []\nq_filters = []\nfor field_name, custom_field_lookup in self.Meta.field_lookups.iteritems():\n value = self.cleaned_data[field_name]\n if inspect.isfunction(custom_field_lo...

<|body_start_0|> kwargs = {field_name: value for field_name, value in self.cleaned_data.items() if value or value is False or value == 0} q_objects = [] q_filters = [] for field_name, custom_field_lookup in self.Meta.field_lookups.iteritems(): value = self.cleaned_data[field_...

Mixin used to create a search form. Allows you to define a list of field-filters pairs used to filter the queryset passed to the form filters can be a combination of list of fields, Q objects and custom filter methods

SearchFormMixin

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SearchFormMixin: """Mixin used to create a search form. Allows you to define a list of field-filters pairs used to filter the queryset passed to the form filters can be a combination of list of fields, Q objects and custom filter methods""" def filters(self, queryset): """Prepares th...

stack_v2_sparse_classes_36k_train_019060

3,348

permissive

[ { "docstring": "Prepares the dictionary of queryset filters based on the form cleaned data :param Queryset queryset: the queryset to filter through. :returns: tuple of q_objects and kwargs used in filtering the queryset .. warning:: method uses cleaned_data, self.full_clean() must be called first.", "name":...

2

null

Implement the Python class `SearchFormMixin` described below. Class description: Mixin used to create a search form. Allows you to define a list of field-filters pairs used to filter the queryset passed to the form filters can be a combination of list of fields, Q objects and custom filter methods Method signatures a...

a3dc470bd8fd3f01615ff57198dfefc88d3aa50c

<|skeleton|> class SearchFormMixin: """Mixin used to create a search form. Allows you to define a list of field-filters pairs used to filter the queryset passed to the form filters can be a combination of list of fields, Q objects and custom filter methods""" def filters(self, queryset): """Prepares th...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SearchFormMixin: """Mixin used to create a search form. Allows you to define a list of field-filters pairs used to filter the queryset passed to the form filters can be a combination of list of fields, Q objects and custom filter methods""" def filters(self, queryset): """Prepares the dictionary ...

the_stack_v2_python_sparse

toolkit/forms/mixins.py

cceit/cce-toolkit

train

8

20ee494ed884a5d0b2e12e7572c6cac7ff23032d

[ "super().__init__(name='image_decoder')\nself.model_size = model_size\ncnn_multiplier = get_cnn_multiplier(self.model_size, override=cnn_multiplier)\nself.input_dims = (4, 4, 8 * cnn_multiplier)\nself.gray_scaled = gray_scaled\nself.dense_layer = tf.keras.layers.Dense(units=int(np.prod(self.input_dims)), activation...

<|body_start_0|> super().__init__(name='image_decoder') self.model_size = model_size cnn_multiplier = get_cnn_multiplier(self.model_size, override=cnn_multiplier) self.input_dims = (4, 4, 8 * cnn_multiplier) self.gray_scaled = gray_scaled self.dense_layer = tf.keras.layer...

A Conv2DTranspose decoder to generate Atari images from a latent space. Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with layer normalization) and a diag Gaussian, from which we then sample the final image. Sampling is done with a fixed stddev=1.0 and using the mean values coming from ...

ConvTransposeAtari

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ConvTransposeAtari: """A Conv2DTranspose decoder to generate Atari images from a latent space. Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with layer normalization) and a diag Gaussian, from which we then sample the final image. Sampling is done with a fixed std...

stack_v2_sparse_classes_36k_train_019061

7,241

permissive

[ { "docstring": "Initializes a ConvTransposeAtari instance. Args: model_size: The \"Model Size\" used according to [1] Appendinx B. Use None for manually setting the `cnn_multiplier`. cnn_multiplier: Optional override for the additional factor used to multiply the number of filters with each CNN transpose layer....

2

null

Implement the Python class `ConvTransposeAtari` described below. Class description: A Conv2DTranspose decoder to generate Atari images from a latent space. Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with layer normalization) and a diag Gaussian, from which we then sample the final i...

edba68c3e7cf255d1d6479329f305adb7fa4c3ed

<|skeleton|> class ConvTransposeAtari: """A Conv2DTranspose decoder to generate Atari images from a latent space. Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with layer normalization) and a diag Gaussian, from which we then sample the final image. Sampling is done with a fixed std...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ConvTransposeAtari: """A Conv2DTranspose decoder to generate Atari images from a latent space. Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with layer normalization) and a diag Gaussian, from which we then sample the final image. Sampling is done with a fixed stddev=1.0 and u...

the_stack_v2_python_sparse

rllib/algorithms/dreamerv3/tf/models/components/conv_transpose_atari.py

ray-project/ray

train

29,482

08469cb65e3316eca0c1ed79ab17d1948690c970

[ "if not settings.user.allow_avatar_capability:\n raise ResourceNotAvailableError()\nuser = req.context.get('user')\nuser_id = str(user.id)\nif 'image' not in req.params:\n raise UserAvatarUploadError()\navatar = req.params.get('image').file\navatar_stream = avatar.read()\nif len(avatar_stream) / 1024 > settin...

<|body_start_0|> if not settings.user.allow_avatar_capability: raise ResourceNotAvailableError() user = req.context.get('user') user_id = str(user.id) if 'image' not in req.params: raise UserAvatarUploadError() avatar = req.params.get('image').file ...

UserAvatarMediaResource

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019062

7,736

permissive

[ { "docstring": "Consumes and stores avatar for user in current session.", "name": "on_post", "signature": "def on_post(self, req, resp)" }, { "docstring": "Delete existing user avatar, will reference default.", "name": "on_delete", "signature": "def on_delete(self, req, resp)" } ]

2

stack_v2_sparse_classes_30k_train_010973

Implement the Python class `UserAvatarMediaResource` described below. Class description: Implement the UserAvatarMediaResource class. Method signatures and docstrings: - def on_post(self, req, resp): Consumes and stores avatar for user in current session. - def on_delete(self, req, resp): Delete existing user avatar,...

e507fe0307d1a7ea29d6c3e20be62fa82a8f109f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserAvatarMediaResource: def on_post(self, req, resp): """Consumes and stores avatar for user in current session.""" if not settings.user.allow_avatar_capability: raise ResourceNotAvailableError() user = req.context.get('user') user_id = str(user.id) if 'ima...

the_stack_v2_python_sparse

blog/resources/users.py

neetjn/py-blog

train

0

4c6dfd6377704a18011733ac1eba3711582265e5

[ "self.dic = {}\nself.l = len(words)\nfor index, value in enumerate(words):\n self.dic[value] = self.dic.get(value, []) + [index]", "l1, l2 = (self.dic[word1], self.dic[word2])\ni = j = 0\nres = self.l\nwhile i < len(l1) and j < len(l2):\n res = min(res, abs(l1[i] - l2[j]))\n if l1[i] < l2[j]:\n i ...

<|body_start_0|> self.dic = {} self.l = len(words) for index, value in enumerate(words): self.dic[value] = self.dic.get(value, []) + [index] <|end_body_0|> <|body_start_1|> l1, l2 = (self.dic[word1], self.dic[word2]) i = j = 0 res = self.l while i < l...

WordDistance

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019063

2,689

no_license

[ { "docstring": "initialize your data structure here. :type words: List[str]", "name": "__init__", "signature": "def __init__(self, words)" }, { "docstring": "Adds a word into the data structure. :type word1: str :type word2: str :rtype: int", "name": "shortest", "signature": "def shortes...

2

null

Implement the Python class `WordDistance` described below. Class description: Implement the WordDistance class. Method signatures and docstrings: - def __init__(self, words): initialize your data structure here. :type words: List[str] - def shortest(self, word1, word2): Adds a word into the data structure. :type word...

035ef08434fa1ca781a6fb2f9eed3538b7d20c02

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WordDistance: def __init__(self, words): """initialize your data structure here. :type words: List[str]""" self.dic = {} self.l = len(words) for index, value in enumerate(words): self.dic[value] = self.dic.get(value, []) + [index] def shortest(self, word1, word...

the_stack_v2_python_sparse

leetcode_python/Hash_table/shortest-word-distance-ii.py

yennanliu/CS_basics

train

64

d9cac6932cfc363c010de3526ef2b38026607645

[ "self.config = config_\nself.logger = logging.getLogger('cuda_logger')\nself.RLT = []", "a = 1.0 * np.array(data)\nn = len(a)\nm, se = (np.mean(a), scipy.stats.sem(a))\nh = se * scipy.stats.t.ppf((1 + confidence) / 2.0, n - 1)\nif confidence == 0:\n return (m, m - se, m + se)\nelse:\n return (m, m - h, m + ...

This class tracks the details about the running RL training

TrainingTracker

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TrainingTracker: """This class tracks the details about the running RL training""" def __init__(self, config_): """Constructor :param config_: :param S: :param T: :return:""" <|body_0|> def mean_confidence_interval(self, data, confidence=0.95): """Calculates mean...

stack_v2_sparse_classes_36k_train_019064

4,736

no_license

[ { "docstring": "Constructor :param config_: :param S: :param T: :return:", "name": "__init__", "signature": "def __init__(self, config_)" }, { "docstring": "Calculates mean and confidence interval around the data array :param data: :param confidence: :return m, m-h, m+h", "name": "mean_confi...

3

null

Implement the Python class `TrainingTracker` described below. Class description: This class tracks the details about the running RL training Method signatures and docstrings: - def __init__(self, config_): Constructor :param config_: :param S: :param T: :return: - def mean_confidence_interval(self, data, confidence=0...

f7fcd2cc1d6ba18b199d176d4d39193f025ee281

<|skeleton|> class TrainingTracker: """This class tracks the details about the running RL training""" def __init__(self, config_): """Constructor :param config_: :param S: :param T: :return:""" <|body_0|> def mean_confidence_interval(self, data, confidence=0.95): """Calculates mean...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TrainingTracker: """This class tracks the details about the running RL training""" def __init__(self, config_): """Constructor :param config_: :param S: :param T: :return:""" self.config = config_ self.logger = logging.getLogger('cuda_logger') self.RLT = [] def mean_c...

the_stack_v2_python_sparse

learn_to_earn_framework/tracker/training_tracker.py

transparent-framework/optimize-ride-sharing-earnings

train

7

cba5c6a180efb7a7f707eda93d6c7fa4bdc67032

[ "if not trans.user_is_admin:\n trans.response.status = 403\n return 'You are not authorized to view the list of forms.'\nquery = trans.sa_session.query(trans.app.model.FormDefinition)\nrval = []\nfor form_definition in query:\n item = form_definition.to_dict(value_mapper={'id': trans.security.encode_id, 'f...

<|body_start_0|> if not trans.user_is_admin: trans.response.status = 403 return 'You are not authorized to view the list of forms.' query = trans.sa_session.query(trans.app.model.FormDefinition) rval = [] for form_definition in query: item = form_defin...

FormDefinitionAPIController

[ "CC-BY-2.5", "AFL-2.1", "AFL-3.0", "CC-BY-3.0", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FormDefinitionAPIController: def index(self, trans, **kwd): """GET /api/forms Displays a collection (list) of forms.""" <|body_0|> def show(self, trans, id, **kwd): """GET /api/forms/{encoded_form_id} Displays information about a form.""" <|body_1|> def ...

stack_v2_sparse_classes_36k_train_019065

3,129

permissive

[ { "docstring": "GET /api/forms Displays a collection (list) of forms.", "name": "index", "signature": "def index(self, trans, **kwd)" }, { "docstring": "GET /api/forms/{encoded_form_id} Displays information about a form.", "name": "show", "signature": "def show(self, trans, id, **kwd)" ...

3

stack_v2_sparse_classes_30k_train_020653

Implement the Python class `FormDefinitionAPIController` described below. Class description: Implement the FormDefinitionAPIController class. Method signatures and docstrings: - def index(self, trans, **kwd): GET /api/forms Displays a collection (list) of forms. - def show(self, trans, id, **kwd): GET /api/forms/{enc...

d194520fdfe08e48c0b3d0d2299cd2adcb8f5952

<|skeleton|> class FormDefinitionAPIController: def index(self, trans, **kwd): """GET /api/forms Displays a collection (list) of forms.""" <|body_0|> def show(self, trans, id, **kwd): """GET /api/forms/{encoded_form_id} Displays information about a form.""" <|body_1|> def ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FormDefinitionAPIController: def index(self, trans, **kwd): """GET /api/forms Displays a collection (list) of forms.""" if not trans.user_is_admin: trans.response.status = 403 return 'You are not authorized to view the list of forms.' query = trans.sa_session.qu...

the_stack_v2_python_sparse

lib/galaxy/webapps/galaxy/api/forms.py

bwlang/galaxy

train

0

1b347eeca875b9f23267b7e75ac82238e49b9c2c

[ "super(Inception, self).__init__()\nbranch1_list = [{'type': ConvBNLayer, 'num_channels': num_channels, 'num_filters': ch1x1, 'filter_size': 1, 'stride': 1, 'padding': 0, 'act': 'relu'}]\nself.branch1 = LinConPoo(branch1_list)\nbranch2_list = [{'type': ConvBNLayer, 'num_channels': num_channels, 'num_filters': ch3x3...

<|body_start_0|> super(Inception, self).__init__() branch1_list = [{'type': ConvBNLayer, 'num_channels': num_channels, 'num_filters': ch1x1, 'filter_size': 1, 'stride': 1, 'padding': 0, 'act': 'relu'}] self.branch1 = LinConPoo(branch1_list) branch2_list = [{'type': ConvBNLayer, 'num_chan...

Inception

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

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

stack_v2_sparse_classes_36k_train_019066

22,436

permissive

[ { "docstring": "@Brief `Inception` @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 co...

2

stack_v2_sparse_classes_30k_train_008346

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

78ff3c3ab3906012a0f4a612251347632aa493a7

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

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

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

the_stack_v2_python_sparse

ECO/paddle1.8/model/ECO.py

thinkall/Contrib

train

1

7a0200b9a1e1b979d9b0547f18368a88268a1fbb

[ "for win_index, window in enumerate(window_seq):\n window = list(window)\n threshold = skimage.filters.threshold_isodata(np.array(window, dtype=float))\n w1 = filter(lambda a: a < threshold, window)\n w2 = filter(lambda a: a >= threshold, window)\n mean1 = self.get_mean(w1)\n mean2 = self.get_mean...

<|body_start_0|> for win_index, window in enumerate(window_seq): window = list(window) threshold = skimage.filters.threshold_isodata(np.array(window, dtype=float)) w1 = filter(lambda a: a < threshold, window) w2 = filter(lambda a: a >= threshold, window) ...

TODO: not implemented

MinStdOtsuSWFilter

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019067

2,345

permissive

[ { "docstring": ":param window_seq: :param kwargs: :return:", "name": "aggregate_windows", "signature": "def aggregate_windows(self, window_seq, **kwargs)" }, { "docstring": ":param window: :return:", "name": "otsu_index", "signature": "def otsu_index(window)" } ]

2

stack_v2_sparse_classes_30k_train_000132

Implement the Python class `MinStdOtsuSWFilter` described below. Class description: TODO: not implemented Method signatures and docstrings: - def aggregate_windows(self, window_seq, **kwargs): :param window_seq: :param kwargs: :return: - def otsu_index(window): :param window: :return:

Implement the Python class `MinStdOtsuSWFilter` described below. Class description: TODO: not implemented Method signatures and docstrings: - def aggregate_windows(self, window_seq, **kwargs): :param window_seq: :param kwargs: :return: - def otsu_index(window): :param window: :return: <|skeleton|> class MinStdOtsuSW...

617ff45c9c3c96bbd9a975aef15f1b2697282b9c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MinStdOtsuSWFilter: """TODO: not implemented""" def aggregate_windows(self, window_seq, **kwargs): """:param window_seq: :param kwargs: :return:""" for win_index, window in enumerate(window_seq): window = list(window) threshold = skimage.filters.threshold_isodata(n...

the_stack_v2_python_sparse

shot_detector/filters/sliding_window/min_std_otsu_swfilter.py

w495/python-video-shot-detector

train

20

d9206700a18cd5e5e971b231ee361dce7f91661c

[ "if not isinstance(self.num_qudits, int) or len(qudit_dimensions) != self.num_qudits:\n raise CircuitError(f'Number of flexible qudits ({self.num_qudits}) does not match number of qudit_dimensions {qudit_dimensions}.')\nsuper().__init__(name=name, qudit_dimensions=qudit_dimensions, num_single_qubits=num_single_q...

<|body_start_0|> if not isinstance(self.num_qudits, int) or len(qudit_dimensions) != self.num_qudits: raise CircuitError(f'Number of flexible qudits ({self.num_qudits}) does not match number of qudit_dimensions {qudit_dimensions}.') super().__init__(name=name, qudit_dimensions=qudit_dimensio...

Qudit instruction adjusting to qudit dimensions. Class variable num_qudits must be set as an integer greater than 0.

FlexibleQuditInstruction

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FlexibleQuditInstruction: """Qudit instruction adjusting to qudit dimensions. Class variable num_qudits must be set as an integer greater than 0.""" def __init__(self, name, qudit_dimensions, num_single_qubits, num_clbits, params, duration=None, unit='dt'): """Flexible qudit instruct...

stack_v2_sparse_classes_36k_train_019068

7,780

permissive

[ { "docstring": "Flexible qudit instruction. Subclasses should only leave the qudit_dimensions argument in constructor, i.e. def __init__(self, qudit_dimensions): ... Raises: CircuitError: If number of qudits does not equal length of qudit_dimensions.", "name": "__init__", "signature": "def __init__(self...

2

stack_v2_sparse_classes_30k_test_000575

Implement the Python class `FlexibleQuditInstruction` described below. Class description: Qudit instruction adjusting to qudit dimensions. Class variable num_qudits must be set as an integer greater than 0. Method signatures and docstrings: - def __init__(self, name, qudit_dimensions, num_single_qubits, num_clbits, p...

9935eedd7d8258619a35424a98f2a71776b61e28

<|skeleton|> class FlexibleQuditInstruction: """Qudit instruction adjusting to qudit dimensions. Class variable num_qudits must be set as an integer greater than 0.""" def __init__(self, name, qudit_dimensions, num_single_qubits, num_clbits, params, duration=None, unit='dt'): """Flexible qudit instruct...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FlexibleQuditInstruction: """Qudit instruction adjusting to qudit dimensions. Class variable num_qudits must be set as an integer greater than 0.""" def __init__(self, name, qudit_dimensions, num_single_qubits, num_clbits, params, duration=None, unit='dt'): """Flexible qudit instruction. Subclass...

the_stack_v2_python_sparse

qiskit_qudits/circuit/flexiblequditinstruction.py

q-inho/QuditsTeam-1

train

1

1c52d8b098d1bd5059f46f9b66ad5f3475d2e612

[ "for x in (1.5, 'string'):\n with self.subTest(x=x):\n with self.assertRaises(TypeError):\n factorize(x)", "for x in (-1, -10, -100):\n with self.subTest(x=x):\n with self.assertRaises(ValueError):\n factorize(x)", "for x in (0, 1):\n with self.subTest(x=x):\n ...

TestFactorize

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019069

2,042

permissive

[ { "docstring": "аргументы типа float или str вызывают исключение TypeError", "name": "test_wrong_types_raise_exception", "signature": "def test_wrong_types_raise_exception(self)" }, { "docstring": "отрицательные числа вызывают исключение ValueError", "name": "test_negative", "signature":...

6

null

Implement the Python class `TestFactorize` described below. Class description: Implement the TestFactorize class. Method signatures and docstrings: - def test_wrong_types_raise_exception(self): аргументы типа float или str вызывают исключение TypeError - def test_negative(self): отрицательные числа вызывают исключени...

beff426dfeaf71a5cb32b74be81df9540ebece4a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestFactorize: def test_wrong_types_raise_exception(self): """аргументы типа float или str вызывают исключение TypeError""" for x in (1.5, 'string'): with self.subTest(x=x): with self.assertRaises(TypeError): factorize(x) def test_negative(s...

the_stack_v2_python_sparse

Python/Programming-in-Python/2. OOP patterns in Python/Week1/Practices/author_factorize.py

EldanGS/Engineering

train

0

b0a147986ae90d6e0274dac8275669288a44ea59

[ "self.max_length = max_length\nself.tmto_lookup = []\nfor i in range(self.max_length + 1):\n self.tmto_lookup.append({})", "try:\n return (True, self.custom_copy(self.tmto_lookup[length][ip_ngram][target_level]))\nexcept KeyError:\n return (False, None)", "if ip_ngram not in self.tmto_lookup[length]:\n...

<|body_start_0|> self.max_length = max_length self.tmto_lookup = [] for i in range(self.max_length + 1): self.tmto_lookup.append({}) <|end_body_0|> <|body_start_1|> try: return (True, self.custom_copy(self.tmto_lookup[length][ip_ngram][target_level])) exc...

Contains all the logic to speed up guess generation by using tmto tricks Creating this as a class so I can easily pass it around

Optimizer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Optimizer: """Contains all the logic to speed up guess generation by using tmto tricks Creating this as a class so I can easily pass it around""" def __init__(self, max_length): """Initializes the optimizer Inputs: max_length: The maximum length of strings to optimize. Increasing thi...

stack_v2_sparse_classes_36k_train_019070

3,380

no_license

[ { "docstring": "Initializes the optimizer Inputs: max_length: The maximum length of strings to optimize. Increasing this increases memory requirements", "name": "__init__", "signature": "def __init__(self, max_length)" }, { "docstring": "Look up a previous result Inputs: ip_ngram: The initial st...

4

stack_v2_sparse_classes_30k_train_017025

Implement the Python class `Optimizer` described below. Class description: Contains all the logic to speed up guess generation by using tmto tricks Creating this as a class so I can easily pass it around Method signatures and docstrings: - def __init__(self, max_length): Initializes the optimizer Inputs: max_length: ...

6fed1047838091edec7ce96679c3d0887073ed3b

<|skeleton|> class Optimizer: """Contains all the logic to speed up guess generation by using tmto tricks Creating this as a class so I can easily pass it around""" def __init__(self, max_length): """Initializes the optimizer Inputs: max_length: The maximum length of strings to optimize. Increasing thi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Optimizer: """Contains all the logic to speed up guess generation by using tmto tricks Creating this as a class so I can easily pass it around""" def __init__(self, max_length): """Initializes the optimizer Inputs: max_length: The maximum length of strings to optimize. Increasing this increases m...

the_stack_v2_python_sparse

lib_guesser/omen/optimizer.py

lakiw/pcfg_cracker

train

286

0107bb46ea141667222090d2e963665eaeddc7fd

[ "n = len(s)\ndp = [[False] * n for _ in range(n)]\nans = ''\nfor l in range(n):\n for i in range(n):\n j = i + l\n if j >= len(s):\n break\n if l == 0:\n dp[i][j] = True\n elif l == 1:\n dp[i][j] = s[i] == s[j]\n else:\n dp[i][j] = dp...

<|body_start_0|> n = len(s) dp = [[False] * n for _ in range(n)] ans = '' for l in range(n): for i in range(n): j = i + l if j >= len(s): break if l == 0: dp[i][j] = True e...

Solution

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def longestPalindrome_dp(self, s: str) -> str: """动态规划算法：自底向上解法算法时间复杂度：O(n^2) 算法空间复杂度：O(n^2) :param s:目标字符串 :return:最长回文子串""" <|body_0|> def longestPalindrome_expandAroundCenter(self, s: str) -> str: """中心扩展算法，算法时间复杂度：O(n^2) 算法空间复杂度：O(1) :param s: :return...

stack_v2_sparse_classes_36k_train_019071

2,497

permissive

[ { "docstring": "动态规划算法：自底向上解法算法时间复杂度：O(n^2) 算法空间复杂度：O(n^2) :param s:目标字符串 :return:最长回文子串", "name": "longestPalindrome_dp", "signature": "def longestPalindrome_dp(self, s: str) -> str" }, { "docstring": "中心扩展算法，算法时间复杂度：O(n^2) 算法空间复杂度：O(1) :param s: :return:", "name": "longestPalindrome_expa...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def longestPalindrome_dp(self, s: str) -> str: 动态规划算法：自底向上解法算法时间复杂度：O(n^2) 算法空间复杂度：O(n^2) :param s:目标字符串 :return:最长回文子串 - def longestPalindrome_expandAroundCenter(self, s: str) ...

62419b49000e79962bcdc99cd98afd2fb82ea345

<|skeleton|> class Solution: def longestPalindrome_dp(self, s: str) -> str: """动态规划算法：自底向上解法算法时间复杂度：O(n^2) 算法空间复杂度：O(n^2) :param s:目标字符串 :return:最长回文子串""" <|body_0|> def longestPalindrome_expandAroundCenter(self, s: str) -> str: """中心扩展算法，算法时间复杂度：O(n^2) 算法空间复杂度：O(1) :param s: :return...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def longestPalindrome_dp(self, s: str) -> str: """动态规划算法：自底向上解法算法时间复杂度：O(n^2) 算法空间复杂度：O(n^2) :param s:目标字符串 :return:最长回文子串""" n = len(s) dp = [[False] * n for _ in range(n)] ans = '' for l in range(n): for i in range(n): j = i + l ...

the_stack_v2_python_sparse

LeetCode 热题 HOT 100/longestPalindrome.py

MaoningGuan/LeetCode

train

3

da03f0781c079ff50ff0d2843e904a6c246f423d

[ "super(TestLoadLattice, self).setUp()\nself.tmpLocation = tempfile.mkdtemp(prefix='atomanTest')\nself.mw = mainWindow.MainWindow(None, testing=True)\nself.mw.preferences.renderingForm.maxAtomsAutoRun = 0\nself.mw.show()", "super(TestLoadLattice, self).tearDown()\nself.mw.close()\nself.mw = None\nshutil.rmtree(sel...

Test loading a Lattice

TestLoadLattice

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019072

3,390

permissive

[ { "docstring": "Set up the test", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Tidy up", "name": "tearDown", "signature": "def tearDown(self)" }, { "docstring": "GUI: Load LBOMD Lattice", "name": "test_loadLbomdDat", "signature": "def test_loadLbomdD...

4

stack_v2_sparse_classes_30k_train_017825

Implement the Python class `TestLoadLattice` described below. Class description: Test loading a Lattice Method signatures and docstrings: - def setUp(self): Set up the test - def tearDown(self): Tidy up - def test_loadLbomdDat(self): GUI: Load LBOMD Lattice - def test_loadLbomdRef(self): GUI: Load LBOMD REF

Implement the Python class `TestLoadLattice` described below. Class description: Test loading a Lattice Method signatures and docstrings: - def setUp(self): Set up the test - def tearDown(self): Tidy up - def test_loadLbomdDat(self): GUI: Load LBOMD Lattice - def test_loadLbomdRef(self): GUI: Load LBOMD REF <|skelet...

e87ac31bbdcf53bb8f3efdfb109787d604890394

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestLoadLattice: """Test loading a Lattice""" def setUp(self): """Set up the test""" super(TestLoadLattice, self).setUp() self.tmpLocation = tempfile.mkdtemp(prefix='atomanTest') self.mw = mainWindow.MainWindow(None, testing=True) self.mw.preferences.renderingForm....

the_stack_v2_python_sparse

atoman/slowtests/test_loadLattice.py

chrisdjscott/Atoman

train

9

707e65fde1ad6ebc66c3db09053e9b740eb002af

[ "pk = uuid.uuid4()\npeople = self.context['request'].user.staff.name if self.context['request'].user.staff else '匿名用户'\nreturn Method.objects.create(pk=pk, people=people, **validated_data)", "instance.name = validated_data.get('name', instance.name)\ninstance.people = validated_data.get('people', instance.people)...

应急演练序列化器

MethodSerializer

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019073

1,545

no_license

[ { "docstring": "新建", "name": "create", "signature": "def create(self, validated_data)" }, { "docstring": "更新，instance为要更新的对象实例", "name": "update", "signature": "def update(self, instance, validated_data)" } ]

2

null

Implement the Python class `MethodSerializer` described below. Class description: 应急演练序列化器 Method signatures and docstrings: - def create(self, validated_data): 新建 - def update(self, instance, validated_data): 更新，instance为要更新的对象实例

Implement the Python class `MethodSerializer` described below. Class description: 应急演练序列化器 Method signatures and docstrings: - def create(self, validated_data): 新建 - def update(self, instance, validated_data): 更新，instance为要更新的对象实例 <|skeleton|> class MethodSerializer: """应急演练序列化器""" def create(self, validate...

3645bc3a396727af208db924c6fdee38abc0f894

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MethodSerializer: """应急演练序列化器""" def create(self, validated_data): """新建""" pk = uuid.uuid4() people = self.context['request'].user.staff.name if self.context['request'].user.staff else '匿名用户' return Method.objects.create(pk=pk, people=people, **validated_data) def up...

the_stack_v2_python_sparse

ruidun_system/safe/serializers/method_serializer.py

TingxieLi/django-restframework

train

0

a6a271cfa2a1fa3bee66c08c5204020b2147c62e

[ "cli_utils.setup_logging()\ncls.lts = LTSGuestCreateTest()\ncls.lts.setUpClass()\ncls.target_charm_namespace = '~openstack-charmers-next'", "charm_name = upgrade_utils.extract_charm_name_from_url(charm_url)\nnext_charm_url = zaza.model.get_latest_charm_url('cs:{}/{}'.format(self.target_charm_namespace, charm_name...

Class to encapsulate Charm Upgrade Tests.

FullCloudCharmUpgradeTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FullCloudCharmUpgradeTest: """Class to encapsulate Charm Upgrade Tests.""" def setUpClass(cls): """Run setup for Charm Upgrades.""" <|body_0|> def get_upgrade_url(self, charm_url): """Return the charm_url to upgrade to. :param charm_url: Current charm url. :type ...

stack_v2_sparse_classes_36k_train_019074

3,154

permissive

[ { "docstring": "Run setup for Charm Upgrades.", "name": "setUpClass", "signature": "def setUpClass(cls)" }, { "docstring": "Return the charm_url to upgrade to. :param charm_url: Current charm url. :type charm_url: str", "name": "get_upgrade_url", "signature": "def get_upgrade_url(self, c...

3

stack_v2_sparse_classes_30k_train_003666

Implement the Python class `FullCloudCharmUpgradeTest` described below. Class description: Class to encapsulate Charm Upgrade Tests. Method signatures and docstrings: - def setUpClass(cls): Run setup for Charm Upgrades. - def get_upgrade_url(self, charm_url): Return the charm_url to upgrade to. :param charm_url: Curr...

3b17ad9d97c57b6e62797d4e3333e4b83e43a447

<|skeleton|> class FullCloudCharmUpgradeTest: """Class to encapsulate Charm Upgrade Tests.""" def setUpClass(cls): """Run setup for Charm Upgrades.""" <|body_0|> def get_upgrade_url(self, charm_url): """Return the charm_url to upgrade to. :param charm_url: Current charm url. :type ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FullCloudCharmUpgradeTest: """Class to encapsulate Charm Upgrade Tests.""" def setUpClass(cls): """Run setup for Charm Upgrades.""" cli_utils.setup_logging() cls.lts = LTSGuestCreateTest() cls.lts.setUpClass() cls.target_charm_namespace = '~openstack-charmers-next'...

the_stack_v2_python_sparse

zaza/openstack/charm_tests/charm_upgrade/tests.py

openstack-charmers/zaza-openstack-tests

train

7

6a5ced57b222c9373e602c478284197ef74e7c32

[ "for addr, name in labels.items():\n db_label = session.query(DbLabel).filter_by(kb=db_kb, addr=addr).scalar()\n if db_label is not None:\n if name == db_label.name:\n continue\n db_label.name = name\n else:\n db_label = DbLabel(kb=db_kb, addr=addr, name=name)\n sessi...

<|body_start_0|> for addr, name in labels.items(): db_label = session.query(DbLabel).filter_by(kb=db_kb, addr=addr).scalar() if db_label is not None: if name == db_label.name: continue db_label.name = name else: ...

Serialize/unserialize labels to/from a database session.

LabelsSerializer

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LabelsSerializer: """Serialize/unserialize labels to/from a database session.""" def dump(session, db_kb, labels): """:param session: :param DbKnowledgeBase db_kb: :param Labels labels: :return: None""" <|body_0|> def load(session, db_kb, kb): """:param session: ...

stack_v2_sparse_classes_36k_train_019075

1,425

permissive

[ { "docstring": ":param session: :param DbKnowledgeBase db_kb: :param Labels labels: :return: None", "name": "dump", "signature": "def dump(session, db_kb, labels)" }, { "docstring": ":param session: :param DbKnowledgeBase db_kb: :param KnowledgeBase kb: :return:", "name": "load", "signat...

2

null

Implement the Python class `LabelsSerializer` described below. Class description: Serialize/unserialize labels to/from a database session. Method signatures and docstrings: - def dump(session, db_kb, labels): :param session: :param DbKnowledgeBase db_kb: :param Labels labels: :return: None - def load(session, db_kb, ...

37e8ca1c3308ec601ad1d7c6bc8081ff38a7cffd

<|skeleton|> class LabelsSerializer: """Serialize/unserialize labels to/from a database session.""" def dump(session, db_kb, labels): """:param session: :param DbKnowledgeBase db_kb: :param Labels labels: :return: None""" <|body_0|> def load(session, db_kb, kb): """:param session: ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LabelsSerializer: """Serialize/unserialize labels to/from a database session.""" def dump(session, db_kb, labels): """:param session: :param DbKnowledgeBase db_kb: :param Labels labels: :return: None""" for addr, name in labels.items(): db_label = session.query(DbLabel).filter...

the_stack_v2_python_sparse

angr/angrdb/serializers/labels.py

angr/angr

train

7,184

a81bfb9dd8b85b93314c2e73b6560bc03033e542

[ "self.master_config = master_config\nself.data_dict = data_dict\nself.base_path = base_path\nself.logger = logger", "visualizer = None\nif name is None:\n return visualizer\nlower_name = name.lower()\nif lower_name == 'DefaultKerasNetworkVisualizer'.lower():\n visualizer = DefaultKerasNetworkVisualizer(self...

Factory for NetworkVisualizers.

NetworkVisualizerFactory

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NetworkVisualizerFactory: """Factory for NetworkVisualizers.""" def __init__(self, master_config, data_dict, base_path, logger=None): """Constructor. :param master_config: The master config for the experiment from which all other sub-configs can be obtained. :param data_dict: The dat...

stack_v2_sparse_classes_36k_train_019076

4,810

no_license

[ { "docstring": "Constructor. :param master_config: The master config for the experiment from which all other sub-configs can be obtained. :param data_dict: The data dictionary used in the evaluator. This is often needed by domains in order that the model is built with the correct dimensionality :param base_path...

2

stack_v2_sparse_classes_30k_train_002678

Implement the Python class `NetworkVisualizerFactory` described below. Class description: Factory for NetworkVisualizers. Method signatures and docstrings: - def __init__(self, master_config, data_dict, base_path, logger=None): Constructor. :param master_config: The master config for the experiment from which all oth...

99c2f401d6c4b203ee439ed607985a918d0c3c7e

<|skeleton|> class NetworkVisualizerFactory: """Factory for NetworkVisualizers.""" def __init__(self, master_config, data_dict, base_path, logger=None): """Constructor. :param master_config: The master config for the experiment from which all other sub-configs can be obtained. :param data_dict: The dat...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NetworkVisualizerFactory: """Factory for NetworkVisualizers.""" def __init__(self, master_config, data_dict, base_path, logger=None): """Constructor. :param master_config: The master config for the experiment from which all other sub-configs can be obtained. :param data_dict: The data dictionary ...

the_stack_v2_python_sparse

experimenthost/networkvisualization/network_visualizer_factory.py

Cognizant-CDB-AIA-BAI-AI-OI/LEAF-ENN-Training-V2

train

0

e690b6a5db5957d2d8ebf43f84e048fbe4ae9433

[ "if 'QI' not in params:\n params['QI'] = 'IE'\nsuper().__init__(params)\nself.QI = self.get_Qdelta_implicit(self.coll, qd_type=self.params.QI)", "L = self.level\nP = L.prob\nme = []\nfor m in range(1, self.coll.num_nodes + 1):\n me.append(P.dtype_u(P.init, val=0.0))\n for j in range(1, self.coll.num_node...

Generic implicit sweeper, expecting lower triangular matrix type as input Attributes: QI: lower triangular matrix

generic_implicit

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class generic_implicit: """Generic implicit sweeper, expecting lower triangular matrix type as input Attributes: QI: lower triangular matrix""" def __init__(self, params): """Initialization routine for the custom sweeper Args: params: parameters for the sweeper""" <|body_0|> d...

stack_v2_sparse_classes_36k_train_019077

3,929

permissive

[ { "docstring": "Initialization routine for the custom sweeper Args: params: parameters for the sweeper", "name": "__init__", "signature": "def __init__(self, params)" }, { "docstring": "Integrates the right-hand side Returns: list of dtype_u: containing the integral as values", "name": "inte...

4

stack_v2_sparse_classes_30k_train_012987

Implement the Python class `generic_implicit` described below. Class description: Generic implicit sweeper, expecting lower triangular matrix type as input Attributes: QI: lower triangular matrix Method signatures and docstrings: - def __init__(self, params): Initialization routine for the custom sweeper Args: params...

1a51834bedffd4472e344bed28f4d766614b1537

<|skeleton|> class generic_implicit: """Generic implicit sweeper, expecting lower triangular matrix type as input Attributes: QI: lower triangular matrix""" def __init__(self, params): """Initialization routine for the custom sweeper Args: params: parameters for the sweeper""" <|body_0|> d...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class generic_implicit: """Generic implicit sweeper, expecting lower triangular matrix type as input Attributes: QI: lower triangular matrix""" def __init__(self, params): """Initialization routine for the custom sweeper Args: params: parameters for the sweeper""" if 'QI' not in params: ...

the_stack_v2_python_sparse

pySDC/implementations/sweeper_classes/generic_implicit.py

Parallel-in-Time/pySDC

train

30

989875b13851df27bc8654709f1cf23c065a5cd3

[ "print('before init')\nsuper().__init__()\nprint('before get')\nresnet = get_visn_arch(arch)(pretrained=pretrained)\nprint('after get')\nfor param in resnet.parameters():\n param.requires_grad = False\nresnet.fc = nn.Identity()\nself.backbone = resnet", "x = self.backbone(img)\nx = x.detach()\nreturn x" ]

<|body_start_0|> print('before init') super().__init__() print('before get') resnet = get_visn_arch(arch)(pretrained=pretrained) print('after get') for param in resnet.parameters(): param.requires_grad = False resnet.fc = nn.Identity() self.bac...

VisnModel

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VisnModel: def __init__(self, arch='resnet50', pretrained=True): """:param dim: dimension of the output :param arch: backbone architecture, :param pretrained: load feature with pre-trained vector :param finetuning: finetune the model""" <|body_0|> def forward(self, img): ...

stack_v2_sparse_classes_36k_train_019078

11,557

permissive

[ { "docstring": ":param dim: dimension of the output :param arch: backbone architecture, :param pretrained: load feature with pre-trained vector :param finetuning: finetune the model", "name": "__init__", "signature": "def __init__(self, arch='resnet50', pretrained=True)" }, { "docstring": ":para...

2

stack_v2_sparse_classes_30k_train_020566

Implement the Python class `VisnModel` described below. Class description: Implement the VisnModel class. Method signatures and docstrings: - def __init__(self, arch='resnet50', pretrained=True): :param dim: dimension of the output :param arch: backbone architecture, :param pretrained: load feature with pre-trained v...

51ac07d1de564c26fbf038b07031a55660bbcb27

<|skeleton|> class VisnModel: def __init__(self, arch='resnet50', pretrained=True): """:param dim: dimension of the output :param arch: backbone architecture, :param pretrained: load feature with pre-trained vector :param finetuning: finetune the model""" <|body_0|> def forward(self, img): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VisnModel: def __init__(self, arch='resnet50', pretrained=True): """:param dim: dimension of the output :param arch: backbone architecture, :param pretrained: load feature with pre-trained vector :param finetuning: finetune the model""" print('before init') super().__init__() p...

the_stack_v2_python_sparse

retrieval_model/vokenization/tmp_extract_vision_keys.py

CJJ2923/Maria

train

0

129ca51a52d26887e85a1626eabee958aa38a6c5

[ "x, y = (0, -1)\nn = len(array)\nfor i in range(n):\n for j in range(i, n):\n curr_sum = sum(array[i:j + 1])\n if curr_sum == 0 and j - i + 1 > y - x + 1:\n x, y = (i, j)\nreturn array[x:y + 1]", "prev_sum = {0: -1}\nx, y = (0, -1)\ncurr = 0\nfor i, num in enumerate(array):\n curr +...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def find_largest_brute(self, array): """Brute force algorithm. Checks all subarrays. Time complexity: O(n ^ 3). Space complexity: O(n), n is len(array).""" <|body_0|> def find_largest(self, array): """Algorithm based on hashing already calculated sum. Time ...

stack_v2_sparse_classes_36k_train_019079

2,509

no_license

[ { "docstring": "Brute force algorithm. Checks all subarrays. Time complexity: O(n ^ 3). Space complexity: O(n), n is len(array).", "name": "find_largest_brute", "signature": "def find_largest_brute(self, array)" }, { "docstring": "Algorithm based on hashing already calculated sum. Time complexit...

3

stack_v2_sparse_classes_30k_train_004571

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def find_largest_brute(self, array): Brute force algorithm. Checks all subarrays. Time complexity: O(n ^ 3). Space complexity: O(n), n is len(array). - def find_largest(self, arr...

71b722ddfe8da04572e527b055cf8723d5c87bbf

<|skeleton|> class Solution: def find_largest_brute(self, array): """Brute force algorithm. Checks all subarrays. Time complexity: O(n ^ 3). Space complexity: O(n), n is len(array).""" <|body_0|> def find_largest(self, array): """Algorithm based on hashing already calculated sum. Time ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def find_largest_brute(self, array): """Brute force algorithm. Checks all subarrays. Time complexity: O(n ^ 3). Space complexity: O(n), n is len(array).""" x, y = (0, -1) n = len(array) for i in range(n): for j in range(i, n): curr_sum = su...

the_stack_v2_python_sparse

Hashing/largest_zero_sum.py

vladn90/Algorithms

train

0

b7256234838ebc0ff2cb38d2452c03ad780a3213

[ "account = Account.objects.create(firstname='Test', lastname='Test', email='test@email.com')\npost = Post.objects.create(title='Test Title', content='Test Content', account=account)\nPostImage.objects.create(post=post, image='tesimage.jpg')\nself.factory = RequestFactory()\nself.view = PostCommentView.as_view()\nse...

<|body_start_0|> account = Account.objects.create(firstname='Test', lastname='Test', email='test@email.com') post = Post.objects.create(title='Test Title', content='Test Content', account=account) PostImage.objects.create(post=post, image='tesimage.jpg') self.factory = RequestFactory() ...

Test class for the PostImageView.

PostImageView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019080

15,306

permissive

[ { "docstring": "Set up variables for tests", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Test the retrieve fucntion in PostImageView", "name": "test_retrieve", "signature": "def test_retrieve(self)" } ]

2

stack_v2_sparse_classes_30k_train_018798

Implement the Python class `PostImageView` described below. Class description: Test class for the PostImageView. Method signatures and docstrings: - def setUp(self): Set up variables for tests - def test_retrieve(self): Test the retrieve fucntion in PostImageView

Implement the Python class `PostImageView` described below. Class description: Test class for the PostImageView. Method signatures and docstrings: - def setUp(self): Set up variables for tests - def test_retrieve(self): Test the retrieve fucntion in PostImageView <|skeleton|> class PostImageView: """Test class f...

a364e9997c1c91b09f5db8a004deb4df305fa8cf

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PostImageView: """Test class for the PostImageView.""" def setUp(self): """Set up variables for tests""" account = Account.objects.create(firstname='Test', lastname='Test', email='test@email.com') post = Post.objects.create(title='Test Title', content='Test Content', account=accou...

the_stack_v2_python_sparse

libStash/blogs/tests.py

Dev-Rem/libStash

train

0

f1595690445b58d8c24c8c40dc353829e05c7775

[ "res = set()\nif len(nums) < 4:\n return []\nnums.sort()\nfor i in range(len(nums) - 3):\n for j in range(i + 1, len(nums) - 2):\n l, r = (j + 1, len(nums) - 1)\n while l < r:\n s = nums[i] + nums[j] + nums[l] + nums[r]\n if s < target:\n l += 1\n ...

<|body_start_0|> res = set() if len(nums) < 4: return [] nums.sort() for i in range(len(nums) - 3): for j in range(i + 1, len(nums) - 2): l, r = (j + 1, len(nums) - 1) while l < r: s = nums[i] + nums[j] + nums[l]...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def fourSum(self, nums, target): """:type nums: List[int] :type target: int :rtype: List[List[int]] 向中间压缩的方式 O(n^3)""" <|body_0|> def fourSum1(self, nums, target): """:type nums: List[int] :type target: int :rtype: List[List[int]] 方法二 O(n^3) 有点问题""" ...

stack_v2_sparse_classes_36k_train_019081

2,372

no_license

[ { "docstring": ":type nums: List[int] :type target: int :rtype: List[List[int]] 向中间压缩的方式 O(n^3)", "name": "fourSum", "signature": "def fourSum(self, nums, target)" }, { "docstring": ":type nums: List[int] :type target: int :rtype: List[List[int]] 方法二 O(n^3) 有点问题", "name": "fourSum1", "si...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def fourSum(self, nums, target): :type nums: List[int] :type target: int :rtype: List[List[int]] 向中间压缩的方式 O(n^3) - def fourSum1(self, nums, target): :type nums: List[int] :type t...

069bb0b751ef7f469036b9897436eb5d138ffa24

<|skeleton|> class Solution: def fourSum(self, nums, target): """:type nums: List[int] :type target: int :rtype: List[List[int]] 向中间压缩的方式 O(n^3)""" <|body_0|> def fourSum1(self, nums, target): """:type nums: List[int] :type target: int :rtype: List[List[int]] 方法二 O(n^3) 有点问题""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def fourSum(self, nums, target): """:type nums: List[int] :type target: int :rtype: List[List[int]] 向中间压缩的方式 O(n^3)""" res = set() if len(nums) < 4: return [] nums.sort() for i in range(len(nums) - 3): for j in range(i + 1, len(nums) - ...

the_stack_v2_python_sparse

算法/学习笔记/四数之和.py

RichieSong/algorithm

train

0

25ea46673f5cd6641610961618d119b9f708fb5a

[ "test_address = LabAddress(type='Primary', address=Address.objects.get(pk=1))\ntest_address.save()\nself.assertEqual(test_address.pk, 1)", "test_address = LabAddress(type='Primary', address=Address.objects.get(pk=1))\ntest_address.save()\nself.assertEqual(test_address.pk, 1)\nself.assertEqual(test_address.__unico...

This class tests the views associated with models in the :mod:`communication` app.

CommunicationModelTests

[ "CC0-1.0", "LicenseRef-scancode-unknown-license-reference", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CommunicationModelTests: """This class tests the views associated with models in the :mod:`communication` app.""" def test_create_new_lab_address(self): """This test creates a :class:`~communication.models.LabAddress` with the required information.""" <|body_0|> def test...

stack_v2_sparse_classes_36k_train_019082

14,526

permissive

[ { "docstring": "This test creates a :class:`~communication.models.LabAddress` with the required information.", "name": "test_create_new_lab_address", "signature": "def test_create_new_lab_address(self)" }, { "docstring": "This tests the unicode representation of a :class:`~communication.models.L...

5

stack_v2_sparse_classes_30k_train_017701

Implement the Python class `CommunicationModelTests` described below. Class description: This class tests the views associated with models in the :mod:`communication` app. Method signatures and docstrings: - def test_create_new_lab_address(self): This test creates a :class:`~communication.models.LabAddress` with the ...

d6f6c9c068bbf668c253e5943d9514947023e66d

<|skeleton|> class CommunicationModelTests: """This class tests the views associated with models in the :mod:`communication` app.""" def test_create_new_lab_address(self): """This test creates a :class:`~communication.models.LabAddress` with the required information.""" <|body_0|> def test...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CommunicationModelTests: """This class tests the views associated with models in the :mod:`communication` app.""" def test_create_new_lab_address(self): """This test creates a :class:`~communication.models.LabAddress` with the required information.""" test_address = LabAddress(type='Prima...

the_stack_v2_python_sparse

communication/tests.py

BridgesLab/Lab-Website

train

0

2321e7cd83fc05286658ebd29423750790a68b21

[ "self.tm = tm\nself.alpha = alpha\nself.lam = alpha * q / (1 - tm * q)", "y = np.random.rand()\nif y >= self.alpha:\n return self.tm\nelse:\n return -math.log(y / self.alpha) / self.lam + self.tm" ]

Generates random arrival times according to the M3 Model (Cowan, 1975).

M3Arrivals

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class M3Arrivals: """Generates random arrival times according to the M3 Model (Cowan, 1975).""" def __init__(self, q, tm, alpha): """Inits object whose call method generates arrival times. Args: q (float): the (expected) flow rate q tm (float): the minimum possible time headway alpha (floa...

stack_v2_sparse_classes_36k_train_019083

42,486

permissive

[ { "docstring": "Inits object whose call method generates arrival times. Args: q (float): the (expected) flow rate q tm (float): the minimum possible time headway alpha (float): (1- alpha) is the probability having tm arrival time", "name": "__init__", "signature": "def __init__(self, q, tm, alpha)" },...

2

null

Implement the Python class `M3Arrivals` described below. Class description: Generates random arrival times according to the M3 Model (Cowan, 1975). Method signatures and docstrings: - def __init__(self, q, tm, alpha): Inits object whose call method generates arrival times. Args: q (float): the (expected) flow rate q ...

0aaf9674e987822ff2dc90c74613d5e68e8ef0ce

<|skeleton|> class M3Arrivals: """Generates random arrival times according to the M3 Model (Cowan, 1975).""" def __init__(self, q, tm, alpha): """Inits object whose call method generates arrival times. Args: q (float): the (expected) flow rate q tm (float): the minimum possible time headway alpha (floa...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class M3Arrivals: """Generates random arrival times according to the M3 Model (Cowan, 1975).""" def __init__(self, q, tm, alpha): """Inits object whose call method generates arrival times. Args: q (float): the (expected) flow rate q tm (float): the minimum possible time headway alpha (float): (1- alpha...

the_stack_v2_python_sparse

havsim/simulation/road_networks.py

seccode/havsim

train

0

79189fe09c2dbee535542003eec6459614f3ba83

[ "self.chars = re.findall('\\\\D', compressedString)[::-1]\nself.counts = re.findall('\\\\d+', compressedString)[::-1]\nself.count = 0\nself.char = ''", "if not self.hasNext():\n return ' '\nif self.count:\n self.count -= 1\n return self.char\nself.count = int(self.counts.pop())\nself.char = self.chars.po...

StringIterator

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019084

1,348

no_license

[ { "docstring": ":type compressedString: str", "name": "__init__", "signature": "def __init__(self, compressedString)" }, { "docstring": ":rtype: str", "name": "next", "signature": "def next(self)" }, { "docstring": ":rtype: bool", "name": "hasNext", "signature": "def hasN...

3

null

Implement the Python class `StringIterator` described below. Class description: Implement the StringIterator class. Method signatures and docstrings: - def __init__(self, compressedString): :type compressedString: str - def next(self): :rtype: str - def hasNext(self): :rtype: bool

Implement the Python class `StringIterator` described below. Class description: Implement the StringIterator class. Method signatures and docstrings: - def __init__(self, compressedString): :type compressedString: str - def next(self): :rtype: str - def hasNext(self): :rtype: bool <|skeleton|> class StringIterator: ...

11c8fc663888b48b5417256aab1bf872190267ba

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StringIterator: def __init__(self, compressedString): """:type compressedString: str""" self.chars = re.findall('\\D', compressedString)[::-1] self.counts = re.findall('\\d+', compressedString)[::-1] self.count = 0 self.char = '' def next(self): """:rtype: ...

the_stack_v2_python_sparse

Design Compressed String Iterator.py

lfdyf20/Leetcode

train

1

4511b9f574582a9614dd738414109b8f0154d6e8

[ "request = pecan.request\ncontext = request.environ['context']\ntransfer_accepts = self.central_api.get_zone_transfer_accept(context, transfer_accept_id)\nLOG.info('Retrieved %(transfer_accepts)s', {'transfer_accepts': transfer_accepts})\nreturn DesignateAdapter.render('API_v2', transfer_accepts, request=request)",...

<|body_start_0|> request = pecan.request context = request.environ['context'] transfer_accepts = self.central_api.get_zone_transfer_accept(context, transfer_accept_id) LOG.info('Retrieved %(transfer_accepts)s', {'transfer_accepts': transfer_accepts}) return DesignateAdapter.rende...

TransferAcceptsController

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019085

3,661

permissive

[ { "docstring": "Get transfer_accepts", "name": "get_one", "signature": "def get_one(self, transfer_accept_id)" }, { "docstring": "List ZoneTransferAccepts", "name": "get_all", "signature": "def get_all(self, **params)" }, { "docstring": "Create ZoneTransferAccept", "name": "p...

3

stack_v2_sparse_classes_30k_train_016592

Implement the Python class `TransferAcceptsController` described below. Class description: Implement the TransferAcceptsController class. Method signatures and docstrings: - def get_one(self, transfer_accept_id): Get transfer_accepts - def get_all(self, **params): List ZoneTransferAccepts - def post_all(self): Create...

360433b38b449d1c53ab1357fdb0c4608c09efa5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TransferAcceptsController: def get_one(self, transfer_accept_id): """Get transfer_accepts""" request = pecan.request context = request.environ['context'] transfer_accepts = self.central_api.get_zone_transfer_accept(context, transfer_accept_id) LOG.info('Retrieved %(tran...

the_stack_v2_python_sparse

designate/api/v2/controllers/zones/tasks/transfer_accepts.py

openstack/designate

train

156

079cfa111750e7132792b64391803fe4c2751039

[ "self.seconds = seconds\nself.on_earth = self.on_planet_gen(1.0)\nself.on_mercury = self.on_planet_gen(0.2408467)\nself.on_venus = self.on_planet_gen(0.61519726)\nself.on_mars = self.on_planet_gen(1.8808158)\nself.on_jupiter = self.on_planet_gen(11.862615)\nself.on_saturn = self.on_planet_gen(29.447498)\nself.on_ur...

<|body_start_0|> self.seconds = seconds self.on_earth = self.on_planet_gen(1.0) self.on_mercury = self.on_planet_gen(0.2408467) self.on_venus = self.on_planet_gen(0.61519726) self.on_mars = self.on_planet_gen(1.8808158) self.on_jupiter = self.on_planet_gen(11.862615) ...

Calculates age on various planets

SpaceAge

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019086

1,052

no_license

[ { "docstring": "Stores age builds functions", "name": "__init__", "signature": "def __init__(self, seconds)" }, { "docstring": "Returns a function that converts seconds into planet years", "name": "on_planet_gen", "signature": "def on_planet_gen(self, ratio_to_earth)" } ]

2

stack_v2_sparse_classes_30k_train_011254

Implement the Python class `SpaceAge` described below. Class description: Calculates age on various planets Method signatures and docstrings: - def __init__(self, seconds): Stores age builds functions - def on_planet_gen(self, ratio_to_earth): Returns a function that converts seconds into planet years

Implement the Python class `SpaceAge` described below. Class description: Calculates age on various planets Method signatures and docstrings: - def __init__(self, seconds): Stores age builds functions - def on_planet_gen(self, ratio_to_earth): Returns a function that converts seconds into planet years <|skeleton|> c...

929dde1723fb2f54870c8a9badc80fc23e8400d3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SpaceAge: """Calculates age on various planets""" def __init__(self, seconds): """Stores age builds functions""" self.seconds = seconds self.on_earth = self.on_planet_gen(1.0) self.on_mercury = self.on_planet_gen(0.2408467) self.on_venus = self.on_planet_gen(0.6151...

the_stack_v2_python_sparse

_algorithms_challenges/exercism/exercism-python-master/space-age/space_age.py

syurskyi/Algorithms_and_Data_Structure

train

4

ed3c19e8a0e20d19710c4849df0b73d38bef42cf

[ "units = Unit.objects.all()\nserializer = UnitSerializer(units, many=True)\nreturn Response(serializer.data)", "serializer = UnitSerializer(request.data)\nserializer.save()\nreturn Response(serializer.data)" ]

View to list all users in the system. * Requires token authentication. * Only admin users are able to access this view.

ListUnits

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ListUnits: """View to list all users in the system. * Requires token authentication. * Only admin users are able to access this view.""" def get(self, request): """Return a list of all units.""" <|body_0|> def post(self, request): """Creates a new complex.""" ...

stack_v2_sparse_classes_36k_train_019087

9,992

no_license

[ { "docstring": "Return a list of all units.", "name": "get", "signature": "def get(self, request)" }, { "docstring": "Creates a new complex.", "name": "post", "signature": "def post(self, request)" } ]

2

stack_v2_sparse_classes_30k_train_001401

Implement the Python class `ListUnits` described below. Class description: View to list all users in the system. * Requires token authentication. * Only admin users are able to access this view. Method signatures and docstrings: - def get(self, request): Return a list of all units. - def post(self, request): Creates ...

f887d41800541e058b2d350ded6f02759d174815

<|skeleton|> class ListUnits: """View to list all users in the system. * Requires token authentication. * Only admin users are able to access this view.""" def get(self, request): """Return a list of all units.""" <|body_0|> def post(self, request): """Creates a new complex.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ListUnits: """View to list all users in the system. * Requires token authentication. * Only admin users are able to access this view.""" def get(self, request): """Return a list of all units.""" units = Unit.objects.all() serializer = UnitSerializer(units, many=True) retur...

the_stack_v2_python_sparse

api/govrent/views.py

kamal94/hacka22019

train

0

c177afd68af0b6515e467dfb6237cb661086ae25

[ "self.matrix = matrix8x8\nself.index = 0\nself.row = 0\nself.iterations = 0", "self.index = 0\nself.row = 0\nself.iterations = 0\nself.matrix.set_brightness(BRIGHTNESS)", "time.sleep(UPDATE_RATE_SECONDS)\nself.matrix.clear()\nself.index += 1\nif self.index >= len(PRIMES):\n self.index = 0\n self.row = 0\n...

Prime numbers less than 256 display on an 8x8 matrix

Led8x8Prime

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019088

1,786

permissive

[ { "docstring": "create the prime object", "name": "__init__", "signature": "def __init__(self, matrix8x8)" }, { "docstring": "initialize and start the prime number display", "name": "reset", "signature": "def reset(self)" }, { "docstring": "display primes up to the max for 8 bits...

3

stack_v2_sparse_classes_30k_train_005383

Implement the Python class `Led8x8Prime` described below. Class description: Prime numbers less than 256 display on an 8x8 matrix Method signatures and docstrings: - def __init__(self, matrix8x8): create the prime object - def reset(self): initialize and start the prime number display - def display(self): display pri...

6937b4f64a1a2526bc9888c119371d72bacbdfaa

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Led8x8Prime: """Prime numbers less than 256 display on an 8x8 matrix""" def __init__(self, matrix8x8): """create the prime object""" self.matrix = matrix8x8 self.index = 0 self.row = 0 self.iterations = 0 def reset(self): """initialize and start the pr...

the_stack_v2_python_sparse

led8x8prime.py

parttimehacker/diyclock

train

0

894426cfade8094ea3e9dad27e8780ad9481c24f

[ "if properties is None:\n properties = []\nif product_id:\n domain = ['&', ('type', '=', bomType)]\n if not product_tmpl_id:\n product_tmpl_id = self.pool['product.product'].browse(cr, uid, product_id, context=context).product_tmpl_id.id\n domain = domain + ['|', ('product_id', '=', product_id), ...

<|body_start_0|> if properties is None: properties = [] if product_id: domain = ['&', ('type', '=', bomType)] if not product_tmpl_id: product_tmpl_id = self.pool['product.product'].browse(cr, uid, product_id, context=context).product_tmpl_id.id ...

plm_relation

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class plm_relation: def _bom_find(self, cr, uid, product_tmpl_id=None, product_id=None, properties=None, bomType='normal', context=None): """Finds BoM for particular product and product uom. @param product_tmpl_id: Selected product. @param product_uom: Unit of measure of a product. @param prop...

stack_v2_sparse_classes_36k_train_019089

12,135

no_license

[ { "docstring": "Finds BoM for particular product and product uom. @param product_tmpl_id: Selected product. @param product_uom: Unit of measure of a product. @param properties: List of related properties. @return: False or BoM id.", "name": "_bom_find", "signature": "def _bom_find(self, cr, uid, product...

2

null

Implement the Python class `plm_relation` described below. Class description: Implement the plm_relation class. Method signatures and docstrings: - def _bom_find(self, cr, uid, product_tmpl_id=None, product_id=None, properties=None, bomType='normal', context=None): Finds BoM for particular product and product uom. @p...

5a4fd72991c846d5cb7c5082f6bdfef5b2bca572

<|skeleton|> class plm_relation: def _bom_find(self, cr, uid, product_tmpl_id=None, product_id=None, properties=None, bomType='normal', context=None): """Finds BoM for particular product and product uom. @param product_tmpl_id: Selected product. @param product_uom: Unit of measure of a product. @param prop...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class plm_relation: def _bom_find(self, cr, uid, product_tmpl_id=None, product_id=None, properties=None, bomType='normal', context=None): """Finds BoM for particular product and product uom. @param product_tmpl_id: Selected product. @param product_uom: Unit of measure of a product. @param properties: List o...

the_stack_v2_python_sparse

yuancloud/plugin/plm/install/plm_extend_entities.py

cash2one/yuancloud

train

0

d0c5990f14d4a41aa7029c4c8ce0dd99c2e11def

[ "self.multiple_a = multiple_a or 3\nself.multiple_b = multiple_b or 5\nself.multiple_c = multiple_c or None\nself.sum = 0", "for number in range(1, n):\n if not self.multiple_c:\n if number % self.multiple_a == 0 or number % self.multiple_b == 0:\n self.sum += number\n elif number % self.m...

SumOfMultiples

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SumOfMultiples: def __init__(self, multiple_a=None, multiple_b=None, multiple_c=None): """Takes up to 3 multiples. If first two are not given, they are set as 3 and 5 respectively.""" <|body_0|> def to(self, n): """Takes integer to find sum of multiples up to. Return...

stack_v2_sparse_classes_36k_train_019090

745

no_license

[ { "docstring": "Takes up to 3 multiples. If first two are not given, they are set as 3 and 5 respectively.", "name": "__init__", "signature": "def __init__(self, multiple_a=None, multiple_b=None, multiple_c=None)" }, { "docstring": "Takes integer to find sum of multiples up to. Returns sum.", ...

2

stack_v2_sparse_classes_30k_train_014770

Implement the Python class `SumOfMultiples` described below. Class description: Implement the SumOfMultiples class. Method signatures and docstrings: - def __init__(self, multiple_a=None, multiple_b=None, multiple_c=None): Takes up to 3 multiples. If first two are not given, they are set as 3 and 5 respectively. - de...

be0e2f635a7558f56c61bc0b36c6146b01d1e6e6

<|skeleton|> class SumOfMultiples: def __init__(self, multiple_a=None, multiple_b=None, multiple_c=None): """Takes up to 3 multiples. If first two are not given, they are set as 3 and 5 respectively.""" <|body_0|> def to(self, n): """Takes integer to find sum of multiples up to. Return...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SumOfMultiples: def __init__(self, multiple_a=None, multiple_b=None, multiple_c=None): """Takes up to 3 multiples. If first two are not given, they are set as 3 and 5 respectively.""" self.multiple_a = multiple_a or 3 self.multiple_b = multiple_b or 5 self.multiple_c = multiple...

the_stack_v2_python_sparse

all_data/exercism_data/python/sum-of-multiples/0e57c01cf56e4d36a5b3ad9942721308.py

itsolutionscorp/AutoStyle-Clustering

train

4

82662211c6a35edc85fbd4c5cb5e1b9f699d9bff

[ "account = BaseAccount.get(accountId)\nif account:\n return self.make_response({'message': None, 'account': account.to_json(is_admin=True)})\nelse:\n return self.make_response({'message': 'Unable to find account', 'account': None}, HTTP.NOT_FOUND)", "self.reqparse.add_argument('accountName', type=str, requi...

<|body_start_0|> account = BaseAccount.get(accountId) if account: return self.make_response({'message': None, 'account': account.to_json(is_admin=True)}) else: return self.make_response({'message': 'Unable to find account', 'account': None}, HTTP.NOT_FOUND) <|end_body_0|>...

AccountDetail

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019091

9,518

permissive

[ { "docstring": "Fetch a single account", "name": "get", "signature": "def get(self, accountId)" }, { "docstring": "Update an account", "name": "put", "signature": "def put(self, accountId)" }, { "docstring": "Delete an account", "name": "delete", "signature": "def delete(...

3

stack_v2_sparse_classes_30k_train_015288

Implement the Python class `AccountDetail` described below. Class description: Implement the AccountDetail class. Method signatures and docstrings: - def get(self, accountId): Fetch a single account - def put(self, accountId): Update an account - def delete(self, accountId): Delete an account

Implement the Python class `AccountDetail` described below. Class description: Implement the AccountDetail class. Method signatures and docstrings: - def get(self, accountId): Fetch a single account - def put(self, accountId): Update an account - def delete(self, accountId): Delete an account <|skeleton|> class Acco...

29a26c705381fdba3538b4efedb25b9e09b387ed

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AccountDetail: def get(self, accountId): """Fetch a single account""" account = BaseAccount.get(accountId) if account: return self.make_response({'message': None, 'account': account.to_json(is_admin=True)}) else: return self.make_response({'message': 'Un...

the_stack_v2_python_sparse

backend/cloud_inquisitor/plugins/views/accounts.py

RiotGames/cloud-inquisitor

train

468

2d1f1f1067da6e69c84ea8f6a9c9fb338d2247d9

[ "self.setup = setup\nself.merge_fields = merge_fields\nself.additional_properties = additional_properties", "if dictionary is None:\n return None\nsetup = idfy_rest_client.models.setup.Setup.from_dictionary(dictionary.get('setup')) if dictionary.get('setup') else None\nmerge_fields = dictionary.get('mergeField...

Implementation of the 'Notifications' model. TODO: type model description here. Attributes: setup (Setup): Setup what kind of notifications this signer should get. Defaults to off merge_fields (dict<object, string>): If you create your own notifications texts (See the root object -> Notification), you can create you...

Notifications

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Notifications: """Implementation of the 'Notifications' model. TODO: type model description here. Attributes: setup (Setup): Setup what kind of notifications this signer should get. Defaults to off merge_fields (dict<object, string>): If you create your own notifications texts (See the root objec...

stack_v2_sparse_classes_36k_train_019092

2,680

permissive

[ { "docstring": "Constructor for the Notifications class", "name": "__init__", "signature": "def __init__(self, setup=None, merge_fields=None, additional_properties={})" }, { "docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representati...

2

stack_v2_sparse_classes_30k_train_011752

Implement the Python class `Notifications` described below. Class description: Implementation of the 'Notifications' model. TODO: type model description here. Attributes: setup (Setup): Setup what kind of notifications this signer should get. Defaults to off merge_fields (dict<object, string>): If you create your own ...

fa3918a6c54ea0eedb9146578645b7eb1755b642

<|skeleton|> class Notifications: """Implementation of the 'Notifications' model. TODO: type model description here. Attributes: setup (Setup): Setup what kind of notifications this signer should get. Defaults to off merge_fields (dict<object, string>): If you create your own notifications texts (See the root objec...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Notifications: """Implementation of the 'Notifications' model. TODO: type model description here. Attributes: setup (Setup): Setup what kind of notifications this signer should get. Defaults to off merge_fields (dict<object, string>): If you create your own notifications texts (See the root object -> Notif...

the_stack_v2_python_sparse

idfy_rest_client/models/notifications.py

dealflowteam/Idfy

train

0

a8b13280dfcd80ebba43870b71cb0017f9ccb8e0

[ "super(ConfigDriveDirectoryTest, cls).setUpClass()\ncls.metadata = {'meta_key_1': 'meta_value_1', 'meta_key_2': 'meta_value_2'}\ncls.file_contents = 'This is a config drive test file.'\nfiles = [{'path': '/test.txt', 'contents': base64.b64encode(cls.file_contents)}]\ncls.key = cls.keypairs_client.create_keypair(ran...

<|body_start_0|> super(ConfigDriveDirectoryTest, cls).setUpClass() cls.metadata = {'meta_key_1': 'meta_value_1', 'meta_key_2': 'meta_value_2'} cls.file_contents = 'This is a config drive test file.' files = [{'path': '/test.txt', 'contents': base64.b64encode(cls.file_contents)}] ...

ConfigDriveDirectoryTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ConfigDriveDirectoryTest: def setUpClass(cls): """Perform actions that setup the necessary resources for testing The following data is generated during this set up: - A name value that is a random name starting with the word 'server' - A dictionary of metadata with the values: {'user_key...

stack_v2_sparse_classes_36k_train_019093

7,401

permissive

[ { "docstring": "Perform actions that setup the necessary resources for testing The following data is generated during this set up: - A name value that is a random name starting with the word 'server' - A dictionary of metadata with the values: {'user_key1': 'value1', 'user_key2': 'value2'} - If default file inj...

4

null

Implement the Python class `ConfigDriveDirectoryTest` described below. Class description: Implement the ConfigDriveDirectoryTest class. Method signatures and docstrings: - def setUpClass(cls): Perform actions that setup the necessary resources for testing The following data is generated during this set up: - A name v...

30f0e64672676c3f90b4a582fe90fac6621475b3

<|skeleton|> class ConfigDriveDirectoryTest: def setUpClass(cls): """Perform actions that setup the necessary resources for testing The following data is generated during this set up: - A name value that is a random name starting with the word 'server' - A dictionary of metadata with the values: {'user_key...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ConfigDriveDirectoryTest: def setUpClass(cls): """Perform actions that setup the necessary resources for testing The following data is generated during this set up: - A name value that is a random name starting with the word 'server' - A dictionary of metadata with the values: {'user_key1': 'value1', ...

the_stack_v2_python_sparse

cloudroast/compute/api/config_drive/test_config_drive_directory_structure.py

RULCSoft/cloudroast

train

1

7bfd44bc05b51108cde061f51cad1d54b77b4239

[ "self.ps = PastaSauce()\nself.desired_capabilities['name'] = self.id()\nif not LOCAL_RUN:\n self.admin = Admin(use_env_vars=True, pasta_user=self.ps, capabilities=self.desired_capabilities)\n self.content = ContentQA(existing_driver=self.admin.driver, use_env_vars=True, pasta_user=self.ps, capabilities=self.d...

<|body_start_0|> self.ps = PastaSauce() self.desired_capabilities['name'] = self.id() if not LOCAL_RUN: self.admin = Admin(use_env_vars=True, pasta_user=self.ps, capabilities=self.desired_capabilities) self.content = ContentQA(existing_driver=self.admin.driver, use_env_va...

TestManageEcosystems

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019094

4,735

no_license

[ { "docstring": "Pretest settings.", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Test destructor.", "name": "tearDown", "signature": "def tearDown(self)" }, { "docstring": "Go to https://tutor-qa.openstax.org/ Login to admin account Open the drop down menu b...

3

stack_v2_sparse_classes_30k_train_004510

Implement the Python class `TestManageEcosystems` described below. Class description: Implement the TestManageEcosystems class. Method signatures and docstrings: - def setUp(self): Pretest settings. - def tearDown(self): Test destructor. - def test_content_tag_search_admin(self): Go to https://tutor-qa.openstax.org/ ...

39751799858ac30df90760b8bb753d338e8edc46

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestManageEcosystems: def setUp(self): """Pretest settings.""" self.ps = PastaSauce() self.desired_capabilities['name'] = self.id() if not LOCAL_RUN: self.admin = Admin(use_env_vars=True, pasta_user=self.ps, capabilities=self.desired_capabilities) self.c...

the_stack_v2_python_sparse

tutor/TestRewrite/Admin/Content/test_content_tag_search_admin.py

openstax/test-automation

train

4

6b76e47b78c64b0eb94afcd92c3b963b97e223d9

[ "nums.sort()\nself.k = k\nself.kth_largest_nums = nums[max(-k, -len(nums)):]\nheapify(self.kth_largest_nums)", "if len(self.kth_largest_nums) < self.k:\n heappush(self.kth_largest_nums, val)\nelif val > self.kth_largest_nums[0]:\n heappush(self.kth_largest_nums, val)\n heappop(self.kth_largest_nums)\nret...

KthLargest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019095

932

no_license

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

2

stack_v2_sparse_classes_30k_train_008296

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

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

9d394cd2862703cfb7a7b505b35deda7450a692e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class KthLargest: def __init__(self, k, nums): """:type k: int :type nums: List[int]""" nums.sort() self.k = k self.kth_largest_nums = nums[max(-k, -len(nums)):] heapify(self.kth_largest_nums) def add(self, val): """:type val: int :rtype: int""" if len(se...

the_stack_v2_python_sparse

703.数据流中的第-k-大元素.py

Ezi4Zy/leetcode

train

0

7568bc426bc141d2d8e6b3f8af86511e1602712e

[ "total = 0\nprime = {2, 3, 5, 7, 11, 13, 17, 19}\nfor i in range(L, R + 1):\n sumi = 0\n while i != 0:\n if i & 1 == 1:\n sumi += 1\n i = i >> 1\n if sumi in prime:\n total += 1\nreturn total", "dic = {}\nfor i in range(len(S)):\n if S[i] in dic:\n dic[S[i]][1] =...

<|body_start_0|> total = 0 prime = {2, 3, 5, 7, 11, 13, 17, 19} for i in range(L, R + 1): sumi = 0 while i != 0: if i & 1 == 1: sumi += 1 i = i >> 1 if sumi in prime: total += 1 return...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_019096

2,461

no_license

[ { "docstring": ":type L: int :type R: int :rtype: int", "name": "countPrimeSetBits", "signature": "def countPrimeSetBits(self, L, R)" }, { "docstring": ":type S: str :rtype: List[int]", "name": "partitionLabels", "signature": "def partitionLabels(self, S)" }, { "docstring": ":typ...

3

stack_v2_sparse_classes_30k_train_002832

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int - def partitionLabels(self, S): :type S: str :rtype: List[int] - def orderOfLargestPlusSign(self, N, mine...

8790abadd5289024794cd95529187c96111c2bd6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def countPrimeSetBits(self, L, R): """:type L: int :type R: int :rtype: int""" total = 0 prime = {2, 3, 5, 7, 11, 13, 17, 19} for i in range(L, R + 1): sumi = 0 while i != 0: if i & 1 == 1: sumi += 1 ...

the_stack_v2_python_sparse

contests/contest67.py

minging234/LeetCode_ming

train

0

ca3b9831c3756ecfbbe3bc4a133b3204d4377c7d

[ "self._num_threads = num_threads\nself._count = 0\nself._cond = threading.Condition()", "with self._cond:\n self._count += 1\n self._cond.notifyAll()\n while self._count < self._num_threads:\n self._cond.wait()" ]

Defines a simple barrier class to synchronize on a particular event.

Barrier

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Barrier: """Defines a simple barrier class to synchronize on a particular event.""" def __init__(self, num_threads): """Constructor. Args: num_threads: int - how many threads will be syncronizing on this barrier""" <|body_0|> def wait(self): """Waits on the barri...

stack_v2_sparse_classes_36k_train_019097

3,873

permissive

[ { "docstring": "Constructor. Args: num_threads: int - how many threads will be syncronizing on this barrier", "name": "__init__", "signature": "def __init__(self, num_threads)" }, { "docstring": "Waits on the barrier until all threads have called this method.", "name": "wait", "signature...

2

null

Implement the Python class `Barrier` described below. Class description: Defines a simple barrier class to synchronize on a particular event. Method signatures and docstrings: - def __init__(self, num_threads): Constructor. Args: num_threads: int - how many threads will be syncronizing on this barrier - def wait(self...

97c50eaa62c039d8f4b9efa3e80c4d80e6f40c4c

<|skeleton|> class Barrier: """Defines a simple barrier class to synchronize on a particular event.""" def __init__(self, num_threads): """Constructor. Args: num_threads: int - how many threads will be syncronizing on this barrier""" <|body_0|> def wait(self): """Waits on the barri...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Barrier: """Defines a simple barrier class to synchronize on a particular event.""" def __init__(self, num_threads): """Constructor. Args: num_threads: int - how many threads will be syncronizing on this barrier""" self._num_threads = num_threads self._count = 0 self._cond...

the_stack_v2_python_sparse

acme/utils/counting_test.py

RaoulDrake/acme

train

0

dc0fe727283fd639cdf2132d9f18a4230a4f7707

[ "wide_ftrs_sp_idx = tf.cast(wide_ftrs_sp_idx, dtype=tf.float32)\nif wide_ftrs_sp_val is None:\n wide_ftrs_sp_val = tf.ones(tf.shape(wide_ftrs_sp_idx), dtype=tf.float32)\nself._num_wide_sp = num_wide_sp\nself._padding_idx = padding_idx\nwith tf.variable_scope('wide', reuse=tf.AUTO_REUSE):\n self.ftrs_weight = ...

<|body_start_0|> wide_ftrs_sp_idx = tf.cast(wide_ftrs_sp_idx, dtype=tf.float32) if wide_ftrs_sp_val is None: wide_ftrs_sp_val = tf.ones(tf.shape(wide_ftrs_sp_idx), dtype=tf.float32) self._num_wide_sp = num_wide_sp self._padding_idx = padding_idx with tf.variable_scope...

Embedding model that performs embedding lookup and summation on sparse features

SparseEmbModel

[ "BSD-2-Clause", "BSD-3-Clause", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SparseEmbModel: """Embedding model that performs embedding lookup and summation on sparse features""" def __init__(self, num_wide_sp: int, wide_ftrs_sp_idx: tf.Tensor, sp_emb_size: int, wide_ftrs_sp_val: tf.Tensor=None, padding_idx: int=0, initializer=tf.contrib.layers.xavier_initializer()):...

stack_v2_sparse_classes_36k_train_019098

5,383

permissive

[ { "docstring": "Computes a embedding given wide feature indices and values If wide_ftrs_sp_val is specified, users should keep consistency between wide_ftrs_sp_idx and wide_ftrs_sp_val -- the value of wide_ftrs_sp_idx[i] should be wide_ftrs_sp_val[i]. CAVEAT: it is required that padding value = 0 for wide_ftrs_...

2

stack_v2_sparse_classes_30k_train_011807

Implement the Python class `SparseEmbModel` described below. Class description: Embedding model that performs embedding lookup and summation on sparse features Method signatures and docstrings: - def __init__(self, num_wide_sp: int, wide_ftrs_sp_idx: tf.Tensor, sp_emb_size: int, wide_ftrs_sp_val: tf.Tensor=None, padd...

38e7b74879debd8ae5f2685367c81cc3a8aa003b

<|skeleton|> class SparseEmbModel: """Embedding model that performs embedding lookup and summation on sparse features""" def __init__(self, num_wide_sp: int, wide_ftrs_sp_idx: tf.Tensor, sp_emb_size: int, wide_ftrs_sp_val: tf.Tensor=None, padding_idx: int=0, initializer=tf.contrib.layers.xavier_initializer()):...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SparseEmbModel: """Embedding model that performs embedding lookup and summation on sparse features""" def __init__(self, num_wide_sp: int, wide_ftrs_sp_idx: tf.Tensor, sp_emb_size: int, wide_ftrs_sp_val: tf.Tensor=None, padding_idx: int=0, initializer=tf.contrib.layers.xavier_initializer()): """C...

the_stack_v2_python_sparse

src/detext/model/sp_emb_model.py

naimmalek/detext

train

1

f0b8145f2a2b37538ad9cf83f8ae97f99cfc452d

[ "if entity_embedding is not None and relation_embedding is not None:\n config['dim'] = entity_embedding.shape[1]\n config['e_num'] = entity_embedding.shape[0]\n config['r_num'] = relation_embedding.shape[0]\nsuper().__init__(config, device)\nself.e_embedding = nn.Embedding(self.e_num, self.dim)\nself.r_emb...

<|body_start_0|> if entity_embedding is not None and relation_embedding is not None: config['dim'] = entity_embedding.shape[1] config['e_num'] = entity_embedding.shape[0] config['r_num'] = relation_embedding.shape[0] super().__init__(config, device) self.e_emb...

TransE

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TransE: def __init__(self, config, device, entity_embedding=None, relation_embedding=None): """Initialize model and assign parameters in parent class based on the chosen configurations. Use pre-trained embeddings if provided. :param config: a dictionary that defines the model attributes ...

stack_v2_sparse_classes_36k_train_019099

3,883

no_license

[ { "docstring": "Initialize model and assign parameters in parent class based on the chosen configurations. Use pre-trained embeddings if provided. :param config: a dictionary that defines the model attributes :param device: the torch device on which the model is executed :param entity_embedding: an optional pre...

3

stack_v2_sparse_classes_30k_train_013363

Implement the Python class `TransE` described below. Class description: Implement the TransE class. Method signatures and docstrings: - def __init__(self, config, device, entity_embedding=None, relation_embedding=None): Initialize model and assign parameters in parent class based on the chosen configurations. Use pre...

f8d43e8bfa6131ed6926fce516df6bec699450af

<|skeleton|> class TransE: def __init__(self, config, device, entity_embedding=None, relation_embedding=None): """Initialize model and assign parameters in parent class based on the chosen configurations. Use pre-trained embeddings if provided. :param config: a dictionary that defines the model attributes ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TransE: def __init__(self, config, device, entity_embedding=None, relation_embedding=None): """Initialize model and assign parameters in parent class based on the chosen configurations. Use pre-trained embeddings if provided. :param config: a dictionary that defines the model attributes :param device:...

the_stack_v2_python_sparse

src/kg_embedding/transE.py

jusch25/mt_kg-fusion

train

0