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

af26c8fba8e103e34cf6f7981939a7d100dc9107

[ "pos_hash = {0: 0}\nout = None\ntemp_sum = 0\nfor i in range(len(nums)):\n temp_sum += nums[i]\n remain_sum = temp_sum - k\n if remain_sum in pos_hash:\n length = i + 1 - pos_hash[remain_sum]\n if out is None or length > out:\n out = length\n if temp_sum not in pos_hash:\n ...

<|body_start_0|> pos_hash = {0: 0} out = None temp_sum = 0 for i in range(len(nums)): temp_sum += nums[i] remain_sum = temp_sum - k if remain_sum in pos_hash: length = i + 1 - pos_hash[remain_sum] if out is None or lengt...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009100

1,838

no_license

[ { "docstring": ":type nums: List[int] :type k: int :rtype: int", "name": "maxSubArrayLen", "signature": "def maxSubArrayLen(self, nums, k)" }, { "docstring": ":type nums: List[int] :type k: int :rtype: int", "name": "maxSubArrayLen2", "signature": "def maxSubArrayLen2(self, nums, k)" }...

2

stack_v2_sparse_classes_30k_train_005040

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxSubArrayLen(self, nums, k): :type nums: List[int] :type k: int :rtype: int - def maxSubArrayLen2(self, nums, k): :type nums: List[int] :type k: int :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxSubArrayLen(self, nums, k): :type nums: List[int] :type k: int :rtype: int - def maxSubArrayLen2(self, nums, k): :type nums: List[int] :type k: int :rtype: int <|skeleton...

604efd2c53c369fb262f42f7f7f31997ea4d029b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxSubArrayLen(self, nums, k): """:type nums: List[int] :type k: int :rtype: int""" pos_hash = {0: 0} out = None temp_sum = 0 for i in range(len(nums)): temp_sum += nums[i] remain_sum = temp_sum - k if remain_sum in pos_...

the_stack_v2_python_sparse

325_Maximum_Size_Subarray_Sum_Equals_k.py

fxy1018/Leetcode

train

1

12dfd81185ad5202bb50bd8cc303b1e1ce06536b

[ "if len(self.max_heap) + len(self.min_heap) & 1 == 0:\n if len(self.min_heap) and self.min_heap[0] < num:\n num = heapq.heappushpop(self.min_heap, num)\n heapq.heappush(self.max_heap, -num)\nelse:\n if len(self.max_heap) and num < -self.max_heap[0]:\n num = -heapq.heappushpop(self.max_heap, -...

<|body_start_0|> if len(self.max_heap) + len(self.min_heap) & 1 == 0: if len(self.min_heap) and self.min_heap[0] < num: num = heapq.heappushpop(self.min_heap, num) heapq.heappush(self.max_heap, -num) else: if len(self.max_heap) and num < -self.max_heap...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009101

1,466

no_license

[ { "docstring": "获取数据流", "name": "insert", "signature": "def insert(self, num)" }, { "docstring": "获取数据流中的中位数", "name": "getMedian", "signature": "def getMedian(self)" } ]

2

stack_v2_sparse_classes_30k_train_011084

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def insert(self, num): 获取数据流 - def getMedian(self): 获取数据流中的中位数

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def insert(self, num): 获取数据流 - def getMedian(self): 获取数据流中的中位数 <|skeleton|> class Solution: def insert(self, num): """获取数据流""" <|body_0|> def getMedian...

ef6aee94c7990d734271c204034ec273b665226d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def insert(self, num): """获取数据流""" if len(self.max_heap) + len(self.min_heap) & 1 == 0: if len(self.min_heap) and self.min_heap[0] < num: num = heapq.heappushpop(self.min_heap, num) heapq.heappush(self.max_heap, -num) else: ...

the_stack_v2_python_sparse

剑指offer/数据流中的中位数.py

godzzbboss/leetcode

train

0

da06cdba5a6c489723c3b46f073703c84540b3ac

[ "self.manager = PackageManager()\nself.packages = self.manager.list_packages(unpacked_only=True)\nif not self.packages:\n show_error('There are no packages available to be packaged')\n return\nself.window.show_quick_panel(self.packages, self.on_done)", "destination = self.manager.settings.get('package_desti...

<|body_start_0|> self.manager = PackageManager() self.packages = self.manager.list_packages(unpacked_only=True) if not self.packages: show_error('There are no packages available to be packaged') return self.window.show_quick_panel(self.packages, self.on_done) <|en...

Abstract class for commands that create .sublime-package files

PackageCreator

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PackageCreator: """Abstract class for commands that create .sublime-package files""" def show_panel(self): """Shows a list of packages that can be turned into a .sublime-package file""" <|body_0|> def get_package_destination(self): """Retrieves the destination fo...

stack_v2_sparse_classes_36k_train_009102

1,205

permissive

[ { "docstring": "Shows a list of packages that can be turned into a .sublime-package file", "name": "show_panel", "signature": "def show_panel(self)" }, { "docstring": "Retrieves the destination for .sublime-package files :return: A string - the path to the folder to save .sublime-package files i...

2

stack_v2_sparse_classes_30k_val_000901

Implement the Python class `PackageCreator` described below. Class description: Abstract class for commands that create .sublime-package files Method signatures and docstrings: - def show_panel(self): Shows a list of packages that can be turned into a .sublime-package file - def get_package_destination(self): Retriev...

8c9833710577de6db6e8b1db5d9196e19e19d117

<|skeleton|> class PackageCreator: """Abstract class for commands that create .sublime-package files""" def show_panel(self): """Shows a list of packages that can be turned into a .sublime-package file""" <|body_0|> def get_package_destination(self): """Retrieves the destination fo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PackageCreator: """Abstract class for commands that create .sublime-package files""" def show_panel(self): """Shows a list of packages that can be turned into a .sublime-package file""" self.manager = PackageManager() self.packages = self.manager.list_packages(unpacked_only=True) ...

the_stack_v2_python_sparse

EthanBrown.SublimeText2.UtilPackages/tools/PackageCache/Package Control/package_control/package_creator.py

Iristyle/ChocolateyPackages

train

19

e1d7f86681d865affe9103102ce5d6ef5b63891a

[ "results = []\nfor entry in self.api_audit_entries:\n if username is not None and entry.username != username:\n continue\n if router_method_names and entry.router_method_name not in router_method_names:\n continue\n if min_timestamp is not None and entry.timestamp < min_timestamp:\n co...

<|body_start_0|> results = [] for entry in self.api_audit_entries: if username is not None and entry.username != username: continue if router_method_names and entry.router_method_name not in router_method_names: continue if min_timestam...

InMemoryDB mixin for event handling.

InMemoryDBEventMixin

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class InMemoryDBEventMixin: """InMemoryDB mixin for event handling.""" def ReadAPIAuditEntries(self, username=None, router_method_names=None, min_timestamp=None, max_timestamp=None): """Returns audit entries stored in the database.""" <|body_0|> def CountAPIAuditEntriesByUserA...

stack_v2_sparse_classes_36k_train_009103

2,178

permissive

[ { "docstring": "Returns audit entries stored in the database.", "name": "ReadAPIAuditEntries", "signature": "def ReadAPIAuditEntries(self, username=None, router_method_names=None, min_timestamp=None, max_timestamp=None)" }, { "docstring": "Returns audit entry counts grouped by user and calendar ...

3

null

Implement the Python class `InMemoryDBEventMixin` described below. Class description: InMemoryDB mixin for event handling. Method signatures and docstrings: - def ReadAPIAuditEntries(self, username=None, router_method_names=None, min_timestamp=None, max_timestamp=None): Returns audit entries stored in the database. -...

44c0eb8c938302098ef7efae8cfd6b90bcfbb2d6

<|skeleton|> class InMemoryDBEventMixin: """InMemoryDB mixin for event handling.""" def ReadAPIAuditEntries(self, username=None, router_method_names=None, min_timestamp=None, max_timestamp=None): """Returns audit entries stored in the database.""" <|body_0|> def CountAPIAuditEntriesByUserA...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class InMemoryDBEventMixin: """InMemoryDB mixin for event handling.""" def ReadAPIAuditEntries(self, username=None, router_method_names=None, min_timestamp=None, max_timestamp=None): """Returns audit entries stored in the database.""" results = [] for entry in self.api_audit_entries: ...

the_stack_v2_python_sparse

grr/server/grr_response_server/databases/mem_events.py

google/grr

train

4,683

9bd0318b8c7cb6488d0a0f286c27b140af0da0a0

[ "FeaturewiseDatasetMeasure.__init__(self)\nself.__datameasure = datameasure\nself.__noise = noise", "if not N.issubdtype(dataset.samples.dtype, N.float):\n dataset.setSamplesDType('float32')\nif __debug__:\n nfeatures = dataset.nfeatures\nsens_map = []\norig_measure = self.__datameasure(dataset)\nfor featur...

This is a `FeaturewiseDatasetMeasure` that uses a scalar `DatasetMeasure` and selective noise perturbation to compute a sensitivity map. First the scalar `DatasetMeasure` computed using the original dataset. Next the data measure is computed multiple times each with a single feature in the dataset perturbed by noise. T...

NoisePerturbationSensitivity

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NoisePerturbationSensitivity: """This is a `FeaturewiseDatasetMeasure` that uses a scalar `DatasetMeasure` and selective noise perturbation to compute a sensitivity map. First the scalar `DatasetMeasure` computed using the original dataset. Next the data measure is computed multiple times each wi...

stack_v2_sparse_classes_36k_train_009104

3,784

permissive

[ { "docstring": "Cheap initialization. Parameters datameasure: `Datameasure` that is used to quantify the effect of noise perturbation. noise: Functor to generate noise. The noise generator has to return an 1d array of n values when called the `size=n` keyword argument. This is the default interface of the rando...

2

stack_v2_sparse_classes_30k_train_002763

Implement the Python class `NoisePerturbationSensitivity` described below. Class description: This is a `FeaturewiseDatasetMeasure` that uses a scalar `DatasetMeasure` and selective noise perturbation to compute a sensitivity map. First the scalar `DatasetMeasure` computed using the original dataset. Next the data mea...

2a8fcaa57457c8994455144e9e69494d167204c4

<|skeleton|> class NoisePerturbationSensitivity: """This is a `FeaturewiseDatasetMeasure` that uses a scalar `DatasetMeasure` and selective noise perturbation to compute a sensitivity map. First the scalar `DatasetMeasure` computed using the original dataset. Next the data measure is computed multiple times each wi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NoisePerturbationSensitivity: """This is a `FeaturewiseDatasetMeasure` that uses a scalar `DatasetMeasure` and selective noise perturbation to compute a sensitivity map. First the scalar `DatasetMeasure` computed using the original dataset. Next the data measure is computed multiple times each with a single f...

the_stack_v2_python_sparse

mvpa/measures/noiseperturbation.py

gorlins/PyMVPA

train

0

68fbd986055ee502f867c05d45835f5956ef2b8f

[ "self.list = []\nfor i in range(len(string)):\n if string[i] == '0':\n self.list.append('o')\n if string[i] == '1':\n self.list.append('l')\n if string[i] == '3' or string[i] == '5':\n self.list.append('e')\n if string[i] == '8':\n self.list.append('b')\n else:\n se...

<|body_start_0|> self.list = [] for i in range(len(string)): if string[i] == '0': self.list.append('o') if string[i] == '1': self.list.append('l') if string[i] == '3' or string[i] == '5': self.list.append('e') ...

conversion

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009105

3,194

permissive

[ { "docstring": "Converts numbers to letters; returns string", "name": "numbersToLetters", "signature": "def numbersToLetters(self, string)" }, { "docstring": "Converts letters to numbers; returns string", "name": "lettersToNumbers", "signature": "def lettersToNumbers(self, string)" } ]

2

stack_v2_sparse_classes_30k_test_000759

Implement the Python class `conversion` described below. Class description: Implement the conversion class. Method signatures and docstrings: - def numbersToLetters(self, string): Converts numbers to letters; returns string - def lettersToNumbers(self, string): Converts letters to numbers; returns string

Implement the Python class `conversion` described below. Class description: Implement the conversion class. Method signatures and docstrings: - def numbersToLetters(self, string): Converts numbers to letters; returns string - def lettersToNumbers(self, string): Converts letters to numbers; returns string <|skeleton|...

af04f91e14492d0ddfe7b5ad00e0652e609ca1b5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class conversion: def numbersToLetters(self, string): """Converts numbers to letters; returns string""" self.list = [] for i in range(len(string)): if string[i] == '0': self.list.append('o') if string[i] == '1': self.list.append('l') ...

the_stack_v2_python_sparse

Code/Pygame Based/20140326/carPlateRegistrationSystem.py

creatingcrap/PythonPlate

train

0

5fa30f70e990648178b4b7d54319d16b3ca33f6e

[ "self.paths = paths\nself.recursive = recursive\nif self.paths is None:\n self.paths = []\nsuper(FilesystemCollector, self).__init__()", "for path in self.paths:\n for base, directories, filenames in os.walk(path):\n for filename in filenames:\n _, extension = os.path.splitext(filename)\n ...

FilesystemCollector

[ "Apache-2.0", "LicenseRef-scancode-warranty-disclaimer" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FilesystemCollector: def __init__(self, paths=None, recursive=True): """Initialise with *paths* to search. If *recursive* is True then all subdirectories of *paths* will also be searched.""" <|body_0|> def collect(self): """Yield collected schemas.""" <|body_...

stack_v2_sparse_classes_36k_train_009106

1,630

permissive

[ { "docstring": "Initialise with *paths* to search. If *recursive* is True then all subdirectories of *paths* will also be searched.", "name": "__init__", "signature": "def __init__(self, paths=None, recursive=True)" }, { "docstring": "Yield collected schemas.", "name": "collect", "signat...

2

stack_v2_sparse_classes_30k_train_014085

Implement the Python class `FilesystemCollector` described below. Class description: Implement the FilesystemCollector class. Method signatures and docstrings: - def __init__(self, paths=None, recursive=True): Initialise with *paths* to search. If *recursive* is True then all subdirectories of *paths* will also be se...

41039cea452860649f717358fd57a99e73202579

<|skeleton|> class FilesystemCollector: def __init__(self, paths=None, recursive=True): """Initialise with *paths* to search. If *recursive* is True then all subdirectories of *paths* will also be searched.""" <|body_0|> def collect(self): """Yield collected schemas.""" <|body_...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FilesystemCollector: def __init__(self, paths=None, recursive=True): """Initialise with *paths* to search. If *recursive* is True then all subdirectories of *paths* will also be searched.""" self.paths = paths self.recursive = recursive if self.paths is None: self.p...

the_stack_v2_python_sparse

source/harmony/schema/collector.py

4degrees/harmony

train

4

7242c4aac59f4c7f68b3748249404dc1a7d2c1a1

[ "self._suffix = suffix\nself._cache = {}\nobject.__init__(self)", "class_name = value.__class__.__name__\nmethod = self._cache.get(class_name)\nif not method:\n type_name = class_name\n if self._suffix and type_name.endswith(self._suffix):\n type_name = type_name[:-len(self._suffix)]\n type_name =...

<|body_start_0|> self._suffix = suffix self._cache = {} object.__init__(self) <|end_body_0|> <|body_start_1|> class_name = value.__class__.__name__ method = self._cache.get(class_name) if not method: type_name = class_name if self._suffix and type...

Convenience class for visitors used in vAPI Python runtime

VapiVisitor

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VapiVisitor: """Convenience class for visitors used in vAPI Python runtime""" def __init__(self, suffix=None): """Initialize VapiVisitor :type suffix: :class:`str` :param suffix: The suffix string that should be removed from class name during the dispatch""" <|body_0|> d...

stack_v2_sparse_classes_36k_train_009107

1,397

no_license

[ { "docstring": "Initialize VapiVisitor :type suffix: :class:`str` :param suffix: The suffix string that should be removed from class name during the dispatch", "name": "__init__", "signature": "def __init__(self, suffix=None)" }, { "docstring": "Dispatch the call to the appropriate method based ...

2

stack_v2_sparse_classes_30k_train_019523

Implement the Python class `VapiVisitor` described below. Class description: Convenience class for visitors used in vAPI Python runtime Method signatures and docstrings: - def __init__(self, suffix=None): Initialize VapiVisitor :type suffix: :class:`str` :param suffix: The suffix string that should be removed from cl...

5d395700ab3d0d1d45b497e48beab8c366fca9f5

<|skeleton|> class VapiVisitor: """Convenience class for visitors used in vAPI Python runtime""" def __init__(self, suffix=None): """Initialize VapiVisitor :type suffix: :class:`str` :param suffix: The suffix string that should be removed from class name during the dispatch""" <|body_0|> d...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VapiVisitor: """Convenience class for visitors used in vAPI Python runtime""" def __init__(self, suffix=None): """Initialize VapiVisitor :type suffix: :class:`str` :param suffix: The suffix string that should be removed from class name during the dispatch""" self._suffix = suffix ...

the_stack_v2_python_sparse

alexa-program.bak/vmware/vapi/lib/visitor.py

taromurata/TDP2018_VMCAPI

train

1

aed7681c01b5333194881195baf8fe4986db2ab9

[ "self.seed = seed\nself.lst = []\nself.line_lst = []\nself.index = 0\nwith open('war-and-peace.txt', 'r') as file:\n for line in file.readlines():\n self.line_lst.append(line)\n file.seek(0)\n for lines in file:\n for word in lines.split():\n if word.isalpha() == True:\n ...

<|body_start_0|> self.seed = seed self.lst = [] self.line_lst = [] self.index = 0 with open('war-and-peace.txt', 'r') as file: for line in file.readlines(): self.line_lst.append(line) file.seek(0) for lines in file: ...

Psuedo Random Generator

WarAndPeacePseudoRandomNumberGenerator

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009108

2,527

no_license

[ { "docstring": "Initiate Seed Number", "name": "__init__", "signature": "def __init__(self, seed)" }, { "docstring": "Random Number from 0-1", "name": "random", "signature": "def random(self)" } ]

2

stack_v2_sparse_classes_30k_train_015991

Implement the Python class `WarAndPeacePseudoRandomNumberGenerator` described below. Class description: Psuedo Random Generator Method signatures and docstrings: - def __init__(self, seed): Initiate Seed Number - def random(self): Random Number from 0-1

Implement the Python class `WarAndPeacePseudoRandomNumberGenerator` described below. Class description: Psuedo Random Generator Method signatures and docstrings: - def __init__(self, seed): Initiate Seed Number - def random(self): Random Number from 0-1 <|skeleton|> class WarAndPeacePseudoRandomNumberGenerator: ...

3f900864ac3e85bc60988bf08eca160a408d44d7

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WarAndPeacePseudoRandomNumberGenerator: """Psuedo Random Generator""" def __init__(self, seed): """Initiate Seed Number""" self.seed = seed self.lst = [] self.line_lst = [] self.index = 0 with open('war-and-peace.txt', 'r') as file: for line in ...

the_stack_v2_python_sparse

Hw7/Hw7_1.py

paripon123/DSC-430-Python

train

2

ea32cb1d053c5690dd9270b1d86c815d056c4336

[ "self.instance = instance\nfor name, field in self.hidden_fields.items():\n self.hidden_fields[name] = getattr(self.instance, name)", "grouping = collections.defaultdict(list)\nfor name, field in self.fields.items():\n group = getattr(field, 'group', '0. ')\n grouping[group].append((field.verbose_name, g...

A base class that constructs the readonly template for a given model. This uses the same notion that Django's forms APIs use to generate forms for given models. The idea is completely inspired from Django's ModelForm APIs and tries to mimic the same names that is used there in order to provide consistency. In addition,...

ModelReadOnlyTemplate

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ModelReadOnlyTemplate: """A base class that constructs the readonly template for a given model. This uses the same notion that Django's forms APIs use to generate forms for given models. The idea is completely inspired from Django's ModelForm APIs and tries to mimic the same names that is used th...

stack_v2_sparse_classes_36k_train_009109

9,668

permissive

[ { "docstring": "Constructor to initialize the model instance. The readonly template will be rendered for the data in this model instance.", "name": "__init__", "signature": "def __init__(self, instance=None)" }, { "docstring": "Iterator yielding groups of model instance's properties to be render...

3

stack_v2_sparse_classes_30k_train_003093

Implement the Python class `ModelReadOnlyTemplate` described below. Class description: A base class that constructs the readonly template for a given model. This uses the same notion that Django's forms APIs use to generate forms for given models. The idea is completely inspired from Django's ModelForm APIs and tries ...

f581989f168189fa3a58c028eff327a16c03e438

<|skeleton|> class ModelReadOnlyTemplate: """A base class that constructs the readonly template for a given model. This uses the same notion that Django's forms APIs use to generate forms for given models. The idea is completely inspired from Django's ModelForm APIs and tries to mimic the same names that is used th...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ModelReadOnlyTemplate: """A base class that constructs the readonly template for a given model. This uses the same notion that Django's forms APIs use to generate forms for given models. The idea is completely inspired from Django's ModelForm APIs and tries to mimic the same names that is used there in order ...

the_stack_v2_python_sparse

app/soc/views/readonly_template.py

sambitgaan/nupic.son

train

0

011c2c4de5f89e0f33ce9287fc819cfd630ace89

[ "self._supersampling_factor = supersampling_factor\nif supersampling_kernel_size is None:\n kernel_low_res, kernel_high_res = (np.zeros((3, 3)), kernel_supersampled)\n self._low_res_convolution = False\nelse:\n kernel_low_res, kernel_high_res = kernel_util.split_kernel(kernel_supersampled, supersampling_ke...

<|body_start_0|> self._supersampling_factor = supersampling_factor if supersampling_kernel_size is None: kernel_low_res, kernel_high_res = (np.zeros((3, 3)), kernel_supersampled) self._low_res_convolution = False else: kernel_low_res, kernel_high_res = kernel_...

class to compute the convolution on a supersampled grid with partial convolution computed on the regular grid

SubgridKernelConvolution

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SubgridKernelConvolution: """class to compute the convolution on a supersampled grid with partial convolution computed on the regular grid""" def __init__(self, kernel_supersampled, supersampling_factor, supersampling_kernel_size=None, convolution_type='fft_static'): """:param kernel...

stack_v2_sparse_classes_36k_train_009110

15,375

permissive

[ { "docstring": ":param kernel_supersampled: kernel in supersampled pixels :param supersampling_factor: supersampling factor relative to the image pixel grid :param supersampling_kernel_size: number of pixels (in units of the image pixels) that are convolved with the supersampled kernel", "name": "__init__",...

3

null

Implement the Python class `SubgridKernelConvolution` described below. Class description: class to compute the convolution on a supersampled grid with partial convolution computed on the regular grid Method signatures and docstrings: - def __init__(self, kernel_supersampled, supersampling_factor, supersampling_kernel...

73c9645f26f6983fe7961104075ebe8bf7a4b54c

<|skeleton|> class SubgridKernelConvolution: """class to compute the convolution on a supersampled grid with partial convolution computed on the regular grid""" def __init__(self, kernel_supersampled, supersampling_factor, supersampling_kernel_size=None, convolution_type='fft_static'): """:param kernel...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SubgridKernelConvolution: """class to compute the convolution on a supersampled grid with partial convolution computed on the regular grid""" def __init__(self, kernel_supersampled, supersampling_factor, supersampling_kernel_size=None, convolution_type='fft_static'): """:param kernel_supersampled...

the_stack_v2_python_sparse

lenstronomy/ImSim/Numerics/convolution.py

lenstronomy/lenstronomy

train

41

720d2a07ca675ad86e8903581955833b08d1330f

[ "edgeList.sort(key=lambda x: x[2])\nself.__uf = UnionFind(n)\nself.__adj = [[] for _ in xrange(n)]\nfor index, (i, j, weight) in enumerate(edgeList):\n if not self.__uf.union_set(i, j):\n continue\n self.__adj[i].append((j, weight))\n self.__adj[j].append((i, weight))\nself.__tree_infos = TreeInfos(...

<|body_start_0|> edgeList.sort(key=lambda x: x[2]) self.__uf = UnionFind(n) self.__adj = [[] for _ in xrange(n)] for index, (i, j, weight) in enumerate(edgeList): if not self.__uf.union_set(i, j): continue self.__adj[i].append((j, weight)) ...

DistanceLimitedPathsExist

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009111

7,205

permissive

[ { "docstring": ":type n: int :type edgeList: List[List[int]]", "name": "__init__", "signature": "def __init__(self, n, edgeList)" }, { "docstring": ":type p: int :type q: int :type limit: int :rtype: bool", "name": "query", "signature": "def query(self, p, q, limit)" } ]

2

stack_v2_sparse_classes_30k_train_014546

Implement the Python class `DistanceLimitedPathsExist` described below. Class description: Implement the DistanceLimitedPathsExist class. Method signatures and docstrings: - def __init__(self, n, edgeList): :type n: int :type edgeList: List[List[int]] - def query(self, p, q, limit): :type p: int :type q: int :type li...

4dc4e6642dc92f1983c13564cc0fd99917cab358

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DistanceLimitedPathsExist: def __init__(self, n, edgeList): """:type n: int :type edgeList: List[List[int]]""" edgeList.sort(key=lambda x: x[2]) self.__uf = UnionFind(n) self.__adj = [[] for _ in xrange(n)] for index, (i, j, weight) in enumerate(edgeList): i...

the_stack_v2_python_sparse

Python/checking-existence-of-edge-length-limited-paths-ii.py

kamyu104/LeetCode-Solutions

train

4,549

cadf78bb94358eb48b068269c2f229c804b7b9c6

[ "self.locations = defaultdict(list)\nfor i, w in enumerate(words):\n self.locations[w].append(i)", "loc1, loc2 = (self.locations[word1], self.locations[word2])\nl1, l2 = (0, 0)\nmin_diff = float('inf')\nwhile l1 < len(loc1) and l2 < len(loc2):\n min_diff = min(min_diff, abs(loc1[l1] - loc2[l2]))\n if loc...

WordDistance

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009112

1,596

no_license

[ { "docstring": ":type words: List[str]", "name": "__init__", "signature": "def __init__(self, words)" }, { "docstring": ":type word1: str :type word2: str :rtype: int", "name": "shortest", "signature": "def shortest(self, word1, word2)" } ]

2

null

Implement the Python class `WordDistance` described below. Class description: Implement the WordDistance class. Method signatures and docstrings: - def __init__(self, words): :type words: List[str] - def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int

Implement the Python class `WordDistance` described below. Class description: Implement the WordDistance class. Method signatures and docstrings: - def __init__(self, words): :type words: List[str] - def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int <|skeleton|> class WordDistance: ...

79d4e3946309f6e37e18c1958243d63faf99861c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WordDistance: def __init__(self, words): """:type words: List[str]""" self.locations = defaultdict(list) for i, w in enumerate(words): self.locations[w].append(i) def shortest(self, word1, word2): """:type word1: str :type word2: str :rtype: int""" loc1...

the_stack_v2_python_sparse

201-300/244_最短单词距离II.py

ZhiyuSun/leetcode-practice

train

6

71ec09d7a1f2263c962a5263fe50894ffc22b068

[ "if cookie == None:\n return\ncookies = {}\nfor x in cookie.split(';'):\n name, value = x.strip().split('=', 1)\n cookies[name] = value\nreturn cookies", "if file == None:\n return\npayload = []\ntry:\n with open(file, 'rb') as f:\n encoding = chardet.detect(f.read())['encoding']\n F = op...

<|body_start_0|> if cookie == None: return cookies = {} for x in cookie.split(';'): name, value = x.strip().split('=', 1) cookies[name] = value return cookies <|end_body_0|> <|body_start_1|> if file == None: return payload ...

Check

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009113

2,010

no_license

[ { "docstring": "检查cookie并组合cookie :param cookie: :return:", "name": "checkCookies", "signature": "def checkCookies(self, cookie)" }, { "docstring": "导入payload文件 :param file: :return:", "name": "fileRead", "signature": "def fileRead(self, file)" }, { "docstring": "设置线程数 :param thr...

5

stack_v2_sparse_classes_30k_train_012896

Implement the Python class `Check` described below. Class description: Implement the Check class. Method signatures and docstrings: - def checkCookies(self, cookie): 检查cookie并组合cookie :param cookie: :return: - def fileRead(self, file): 导入payload文件 :param file: :return: - def threadSetting(self, threadN, flag): 设置线程数 ...

8103baaed6d90606befd7435b8ce8d4841d56bd3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Check: def checkCookies(self, cookie): """检查cookie并组合cookie :param cookie: :return:""" if cookie == None: return cookies = {} for x in cookie.split(';'): name, value = x.strip().split('=', 1) cookies[name] = value return cookies ...

the_stack_v2_python_sparse

modules/func/check.py

T-Jinhao/Scanner

train

14

efe9295488035c5fd21f274cc9bf5e793431fcc7

[ "size = len(s)\nif size == 0:\n return ''\nlongest_palindrome = 1\nlongest_palindrome_str = s[0]\nfor i in range(size):\n palindrome_odd, odd_len = self.__center_spread(s, size, i, i)\n palindrome_even, even_len = self.__center_spread(s, size, i, i + 1)\n cur_max_sub = palindrome_odd if odd_len >= even_...

<|body_start_0|> size = len(s) if size == 0: return '' longest_palindrome = 1 longest_palindrome_str = s[0] for i in range(size): palindrome_odd, odd_len = self.__center_spread(s, size, i, i) palindrome_even, even_len = self.__center_spread(s, ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009114

2,093

no_license

[ { "docstring": "中心扩散的思路时间复杂度：O(N^2) 空间复杂度：O(1)", "name": "longestPalindrome", "signature": "def longestPalindrome(self, s: str) -> str" }, { "docstring": "left = right的时候，此时回文中心是一条线，回文串的长度是奇数 right = left + 1的时候，此时回文中心是任意一个字符，回文串的长度是偶数", "name": "__center_spread", "signature": "def __ce...

3

stack_v2_sparse_classes_30k_train_010347

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def longestPalindrome(self, s: str) -> str: 中心扩散的思路时间复杂度：O(N^2) 空间复杂度：O(1) - def __center_spread(self, s, size, left, right): left = right的时候，此时回文中心是一条线，回文串的长度是奇数 right = left +...

3f4284330f9771037ca59e2e6a94122e51e58540

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def longestPalindrome(self, s: str) -> str: """中心扩散的思路时间复杂度：O(N^2) 空间复杂度：O(1)""" size = len(s) if size == 0: return '' longest_palindrome = 1 longest_palindrome_str = s[0] for i in range(size): palindrome_odd, odd_len = self.__...

the_stack_v2_python_sparse

Leetcode/5.最长回文子串.py

myf-algorithm/Leetcode

train

1

68d0fef31cabf173e2c550d0d890103ae32e8051

[ "tape = s\npattern = p\nm = len(tape)\nn = len(pattern)\ndp = [[False for _ in xrange(n + 1)] for _ in xrange(m + 1)]\ndp[m][n] = True\nfor j in xrange(n - 1, -1, -1):\n if pattern[j] == '*':\n dp[m][j] = dp[m][j + 1]\nfor i in xrange(m - 1, -1, -1):\n for j in xrange(n - 1, -1, -1):\n if tape[i...

<|body_start_0|> tape = s pattern = p m = len(tape) n = len(pattern) dp = [[False for _ in xrange(n + 1)] for _ in xrange(m + 1)] dp[m][n] = True for j in xrange(n - 1, -1, -1): if pattern[j] == '*': dp[m][j] = dp[m][j + 1] for ...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def isMatch_MLE(self, s, p): """dp, similar to 011 Regular Expression Matching. Backward dp but Memory Limit Exceeds :param s: tape, an input string :param p: pattern, a pattern string :return: boolean""" <|body_0|> def isMatch_forward(self, s, p): """"?" i...

stack_v2_sparse_classes_36k_train_009115

3,437

permissive

[ { "docstring": "dp, similar to 011 Regular Expression Matching. Backward dp but Memory Limit Exceeds :param s: tape, an input string :param p: pattern, a pattern string :return: boolean", "name": "isMatch_MLE", "signature": "def isMatch_MLE(self, s, p)" }, { "docstring": "\"?\" is not the proble...

2

stack_v2_sparse_classes_30k_train_008382

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isMatch_MLE(self, s, p): dp, similar to 011 Regular Expression Matching. Backward dp but Memory Limit Exceeds :param s: tape, an input string :param p: pattern, a pattern str...

cbbd4a67ab342ada2421e13f82d660b1d47d4d20

<|skeleton|> class Solution: def isMatch_MLE(self, s, p): """dp, similar to 011 Regular Expression Matching. Backward dp but Memory Limit Exceeds :param s: tape, an input string :param p: pattern, a pattern string :return: boolean""" <|body_0|> def isMatch_forward(self, s, p): """"?" i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isMatch_MLE(self, s, p): """dp, similar to 011 Regular Expression Matching. Backward dp but Memory Limit Exceeds :param s: tape, an input string :param p: pattern, a pattern string :return: boolean""" tape = s pattern = p m = len(tape) n = len(pattern) ...

the_stack_v2_python_sparse

043 Wildcard Matching.py

Aminaba123/LeetCode

train

1

1beea031d41a28a3fc1c5f5632f9a87a2ee0f3ea

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn SiteCollection()", "from .root import Root\nfrom .root import Root\nfields: Dict[str, Callable[[Any], None]] = {'dataLocationCode': lambda n: setattr(self, 'data_location_code', n.get_str_value()), 'hostname': lambda n: setattr(self, '...

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

SiteCollection

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SiteCollection: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SiteCollection: """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 Retur...

stack_v2_sparse_classes_36k_train_009116

3,131

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: SiteCollection", "name": "create_from_discriminator_value", "signature": "def create_from_discriminator_valu...

3

null

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

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class SiteCollection: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SiteCollection: """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 Retur...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SiteCollection: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SiteCollection: """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: SiteCollec...

the_stack_v2_python_sparse

msgraph/generated/models/site_collection.py

microsoftgraph/msgraph-sdk-python

train

135

c863db94ef5227e48b68e93afe0b1ce404c392a8

[ "super().__init__(data, device)\nself.entity_description = description\nself._attr_unique_id = f'{device.device_uuid}-{description.key}'\nif description.key == CONST.TEMP_STATUS_KEY:\n self._attr_native_unit_of_measurement = device.temp_unit\nelif description.key == CONST.HUMI_STATUS_KEY:\n self._attr_native_...

<|body_start_0|> super().__init__(data, device) self.entity_description = description self._attr_unique_id = f'{device.device_uuid}-{description.key}' if description.key == CONST.TEMP_STATUS_KEY: self._attr_native_unit_of_measurement = device.temp_unit elif descriptio...

A sensor implementation for Abode devices.

AbodeSensor

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AbodeSensor: """A sensor implementation for Abode devices.""" def __init__(self, data: AbodeSystem, device: AbodeSense, description: SensorEntityDescription) -> None: """Initialize a sensor for an Abode device.""" <|body_0|> def native_value(self) -> float | None: ...

stack_v2_sparse_classes_36k_train_009117

2,873

permissive

[ { "docstring": "Initialize a sensor for an Abode device.", "name": "__init__", "signature": "def __init__(self, data: AbodeSystem, device: AbodeSense, description: SensorEntityDescription) -> None" }, { "docstring": "Return the state of the sensor.", "name": "native_value", "signature": ...

2

stack_v2_sparse_classes_30k_train_005573

Implement the Python class `AbodeSensor` described below. Class description: A sensor implementation for Abode devices. Method signatures and docstrings: - def __init__(self, data: AbodeSystem, device: AbodeSense, description: SensorEntityDescription) -> None: Initialize a sensor for an Abode device. - def native_val...

2e65b77b2b5c17919939481f327963abdfdc53f0

<|skeleton|> class AbodeSensor: """A sensor implementation for Abode devices.""" def __init__(self, data: AbodeSystem, device: AbodeSense, description: SensorEntityDescription) -> None: """Initialize a sensor for an Abode device.""" <|body_0|> def native_value(self) -> float | None: ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AbodeSensor: """A sensor implementation for Abode devices.""" def __init__(self, data: AbodeSystem, device: AbodeSense, description: SensorEntityDescription) -> None: """Initialize a sensor for an Abode device.""" super().__init__(data, device) self.entity_description = descriptio...

the_stack_v2_python_sparse

homeassistant/components/abode/sensor.py

konnected-io/home-assistant

train

24

1b86360c2208d537ab4c1ffa5b47c0ea9bd70823

[ "super().__init__(econet_device)\nself.entity_description = description\nself._attr_name = f'{econet_device.device_name}_{description.name}'\nself._attr_unique_id = f'{econet_device.device_id}_{econet_device.device_name}_{description.name}'", "value = getattr(self._econet, self.entity_description.key)\nif self.en...

<|body_start_0|> super().__init__(econet_device) self.entity_description = description self._attr_name = f'{econet_device.device_name}_{description.name}' self._attr_unique_id = f'{econet_device.device_id}_{econet_device.device_name}_{description.name}' <|end_body_0|> <|body_start_1|> ...

Define a Econet sensor.

EcoNetSensor

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009118

4,025

permissive

[ { "docstring": "Initialize.", "name": "__init__", "signature": "def __init__(self, econet_device: Equipment, description: SensorEntityDescription) -> None" }, { "docstring": "Return sensors state.", "name": "native_value", "signature": "def native_value(self)" } ]

2

stack_v2_sparse_classes_30k_train_018011

Implement the Python class `EcoNetSensor` described below. Class description: Define a Econet sensor. Method signatures and docstrings: - def __init__(self, econet_device: Equipment, description: SensorEntityDescription) -> None: Initialize. - def native_value(self): Return sensors state.

Implement the Python class `EcoNetSensor` described below. Class description: Define a Econet sensor. Method signatures and docstrings: - def __init__(self, econet_device: Equipment, description: SensorEntityDescription) -> None: Initialize. - def native_value(self): Return sensors state. <|skeleton|> class EcoNetSe...

80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EcoNetSensor: """Define a Econet sensor.""" def __init__(self, econet_device: Equipment, description: SensorEntityDescription) -> None: """Initialize.""" super().__init__(econet_device) self.entity_description = description self._attr_name = f'{econet_device.device_name}_{...

the_stack_v2_python_sparse

homeassistant/components/econet/sensor.py

home-assistant/core

train

35,501

95963e9e56d05becb1d08c18706d6738a22cbdd6

[ "m = hashlib.md5()\n_m = hashlib.md5()\nm.update(cls.key)\n_m.update(requestid + '+' + str(m.hexdigest()).upper())\nrequesttoken = str(_m.hexdigest()).upper()\nxml = \"<?xml version='1.0' encoding='utf-8'?>\\n <REQUEST>\\n <ACTION>MeberShipRequest</ACTION>\\n ...

<|body_start_0|> m = hashlib.md5() _m = hashlib.md5() m.update(cls.key) _m.update(requestid + '+' + str(m.hexdigest()).upper()) requesttoken = str(_m.hexdigest()).upper() xml = "<?xml version='1.0' encoding='utf-8'?>\n <REQUEST>\n ...

Traffic

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Traffic: def send_traffic(cls, requestid, phone): """:param requestid: 唯一标识字符串,客户端生成， :param phone: 手机号码 :return:""" <|body_0|> def query_traffic(cls, requestid): """:param requestid: 唯一标识字符串,客户端生成， :returns: 0＝成功，-1 = 失败, 1 = 正在处理中该接口返回含义与充值接口不同，代表提交到上游接口的状态该接口返回成...

stack_v2_sparse_classes_36k_train_009119

4,315

no_license

[ { "docstring": ":param requestid: 唯一标识字符串,客户端生成， :param phone: 手机号码 :return:", "name": "send_traffic", "signature": "def send_traffic(cls, requestid, phone)" }, { "docstring": ":param requestid: 唯一标识字符串,客户端生成， :returns: 0＝成功，-1 = 失败, 1 = 正在处理中该接口返回含义与充值接口不同，代表提交到上游接口的状态该接口返回成功仅代表上游接口成功处理（多数情况为...

2

stack_v2_sparse_classes_30k_train_007755

Implement the Python class `Traffic` described below. Class description: Implement the Traffic class. Method signatures and docstrings: - def send_traffic(cls, requestid, phone): :param requestid: 唯一标识字符串,客户端生成， :param phone: 手机号码 :return: - def query_traffic(cls, requestid): :param requestid: 唯一标识字符串,客户端生成， :returns...

9221630f236d096487528d3e382477056c6dc76b

<|skeleton|> class Traffic: def send_traffic(cls, requestid, phone): """:param requestid: 唯一标识字符串,客户端生成， :param phone: 手机号码 :return:""" <|body_0|> def query_traffic(cls, requestid): """:param requestid: 唯一标识字符串,客户端生成， :returns: 0＝成功，-1 = 失败, 1 = 正在处理中该接口返回含义与充值接口不同，代表提交到上游接口的状态该接口返回成...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Traffic: def send_traffic(cls, requestid, phone): """:param requestid: 唯一标识字符串,客户端生成， :param phone: 手机号码 :return:""" m = hashlib.md5() _m = hashlib.md5() m.update(cls.key) _m.update(requestid + '+' + str(m.hexdigest()).upper()) requesttoken = str(_m.hexdigest())...

the_stack_v2_python_sparse

wanx/platforms/traffic.py

LeePapa/migu_community

train

0

cc43bd908d879d665d666e88ee30e7a60b1d25b4

[ "self.position = position\nself.num_trials = num_trials\nself.position_value = np.true_divide(1000, self.position)\nif self.position == 1:\n self.position_word = ' position '\nelse:\n self.position_word = ' positions '", "investment_outcome = []\nfor i in range(self.position * self.num_trials):\n outcome...

<|body_start_0|> self.position = position self.num_trials = num_trials self.position_value = np.true_divide(1000, self.position) if self.position == 1: self.position_word = ' position ' else: self.position_word = ' positions ' <|end_body_0|> <|body_start_...

investment_instrument

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class investment_instrument: def __init__(self, position, num_trials): """Initiate an instance of the investment_instrument class. A function of an investment position""" <|body_0|> def generate_daily_returns(self): """For each position, simulate n daily returns, where n i...

stack_v2_sparse_classes_36k_train_009120

3,339

no_license

[ { "docstring": "Initiate an instance of the investment_instrument class. A function of an investment position", "name": "__init__", "signature": "def __init__(self, position, num_trials)" }, { "docstring": "For each position, simulate n daily returns, where n is num_trials", "name": "generat...

4

null

Implement the Python class `investment_instrument` described below. Class description: Implement the investment_instrument class. Method signatures and docstrings: - def __init__(self, position, num_trials): Initiate an instance of the investment_instrument class. A function of an investment position - def generate_d...

5b904060e8bced7f91547ad7f7819773a7450a1e

<|skeleton|> class investment_instrument: def __init__(self, position, num_trials): """Initiate an instance of the investment_instrument class. A function of an investment position""" <|body_0|> def generate_daily_returns(self): """For each position, simulate n daily returns, where n i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class investment_instrument: def __init__(self, position, num_trials): """Initiate an instance of the investment_instrument class. A function of an investment position""" self.position = position self.num_trials = num_trials self.position_value = np.true_divide(1000, self.position) ...

the_stack_v2_python_sparse

zvz201/investment_instrument.py

ds-ga-1007/assignment8

train

1

646a7319cc86ef33fa426c9985e2edc83175c21f

[ "self.X = X_init\nself.Y = Y_init\nself.l = l\nself.sigma_f = sigma_f\nself.K = self.kernel(self.X, self.X)", "first = np.sum(X1 ** 2, 1).reshape(-1, 1)\nsecond = np.sum(X2 ** 2, 1)\ndist_sq = first + second - 2 * np.dot(X1, X2.T)\nkernel = self.sigma_f ** 2 * np.exp(-0.5 / self.l ** 2 * dist_sq)\nreturn kernel" ...

A class that represents a gaussian process

GaussianProcess

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009121

779

no_license

[ { "docstring": "constructor for class", "name": "__init__", "signature": "def __init__(self, X_init, Y_init, l=1, sigma_f=1)" }, { "docstring": "Returns the covariance matrix", "name": "kernel", "signature": "def kernel(self, X1, X2)" } ]

2

null

Implement the Python class `GaussianProcess` described below. Class description: A class that represents a gaussian process Method signatures and docstrings: - def __init__(self, X_init, Y_init, l=1, sigma_f=1): constructor for class - def kernel(self, X1, X2): Returns the covariance matrix

Implement the Python class `GaussianProcess` described below. Class description: A class that represents a gaussian process Method signatures and docstrings: - def __init__(self, X_init, Y_init, l=1, sigma_f=1): constructor for class - def kernel(self, X1, X2): Returns the covariance matrix <|skeleton|> class Gaussi...

91300120d38acb6440a6dbb8c408b1193c07de88

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GaussianProcess: """A class that represents a gaussian process""" def __init__(self, X_init, Y_init, l=1, sigma_f=1): """constructor for class""" self.X = X_init self.Y = Y_init self.l = l self.sigma_f = sigma_f self.K = self.kernel(self.X, self.X) def...

the_stack_v2_python_sparse

unsupervised_learning/0x03-hyperparameter_tuning/0-gp.py

anaruzz/holbertonschool-machine_learning

train

0

7c2cc5dba1a9bd62da60c453d6d7e2c6b9e5d188

[ "if request.user.is_authenticated:\n return HttpResponseRedirect(reverse('OSINT_System_Core:tso-dashboard'))\nreturn render(request, 'User_Accounts_Management_Unit/login.html', {'message': ''})", "username = request.POST.get('username', None)\npassword = request.POST.get('password', None)\nif username is not N...

<|body_start_0|> if request.user.is_authenticated: return HttpResponseRedirect(reverse('OSINT_System_Core:tso-dashboard')) return render(request, 'User_Accounts_Management_Unit/login.html', {'message': ''}) <|end_body_0|> <|body_start_1|> username = request.POST.get('username', None...

USER Login View

User_Login

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009122

19,842

no_license

[ { "docstring": "get handler for login view", "name": "get", "signature": "def get(self, request, *args)" }, { "docstring": "post handler for login view", "name": "post", "signature": "def post(self, request)" } ]

2

null

Implement the Python class `User_Login` described below. Class description: USER Login View Method signatures and docstrings: - def get(self, request, *args): get handler for login view - def post(self, request): post handler for login view

Implement the Python class `User_Login` described below. Class description: USER Login View Method signatures and docstrings: - def get(self, request, *args): get handler for login view - def post(self, request): post handler for login view <|skeleton|> class User_Login: """USER Login View""" def get(self, ...

79c55755509195029a01eb487b971408a724e6c8

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class User_Login: """USER Login View""" def get(self, request, *args): """get handler for login view""" if request.user.is_authenticated: return HttpResponseRedirect(reverse('OSINT_System_Core:tso-dashboard')) return render(request, 'User_Accounts_Management_Unit/login.html'...

the_stack_v2_python_sparse

User_Accounts_Management_Unit/views.py

maliksblr92/v2

train

0

472abe0395a624babf2be5b4f23a1877eda808c8

[ "start_time = time.time()\nrequest_data = {'开始时间': start_time}\nif request.GET.dict():\n request_data['query_params'] = request.GET.dict()\nif request.body:\n try:\n request_data['data'] = json.loads(request.body.decode('utf8', 'ignore'))\n except:\n request_data['data'] = request.body.decode...

<|body_start_0|> start_time = time.time() request_data = {'开始时间': start_time} if request.GET.dict(): request_data['query_params'] = request.GET.dict() if request.body: try: request_data['data'] = json.loads(request.body.decode('utf8', 'ignore')) ...

自定义日志中间件

LoggerMiddleware

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LoggerMiddleware: """自定义日志中间件""" def process_request(self, request): """请求信息""" <|body_0|> def process_response(self, request, response): """响应信息""" <|body_1|> <|end_skeleton|> <|body_start_0|> start_time = time.time() request_data = {'开...

stack_v2_sparse_classes_36k_train_009123

1,946

no_license

[ { "docstring": "请求信息", "name": "process_request", "signature": "def process_request(self, request)" }, { "docstring": "响应信息", "name": "process_response", "signature": "def process_response(self, request, response)" } ]

2

stack_v2_sparse_classes_30k_train_012863

Implement the Python class `LoggerMiddleware` described below. Class description: 自定义日志中间件 Method signatures and docstrings: - def process_request(self, request): 请求信息 - def process_response(self, request, response): 响应信息

Implement the Python class `LoggerMiddleware` described below. Class description: 自定义日志中间件 Method signatures and docstrings: - def process_request(self, request): 请求信息 - def process_response(self, request, response): 响应信息 <|skeleton|> class LoggerMiddleware: """自定义日志中间件""" def process_request(self, request)...

764df78c59d6e9c2dafee65e875b29df2635d33c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LoggerMiddleware: """自定义日志中间件""" def process_request(self, request): """请求信息""" start_time = time.time() request_data = {'开始时间': start_time} if request.GET.dict(): request_data['query_params'] = request.GET.dict() if request.body: try: ...

the_stack_v2_python_sparse

utils/custom_middleware.py

shawnhuang90s/oms_test

train

2

94a3f5f8134b2b1fbce90946b8067f384daa6ea7

[ "Web3Initializer.__init__(self, url, port)\nself.contract = self.web3.eth.contract(abi=contract_abi, address=contract_address)\nself.last_block = self.web3.eth.blockNumber\nself.private_key = private_key\nself.minter = minter\nself.password = password\nself.timeout = 120\nself.ledger_type = LedgerType.ETHEREUM", ...

<|body_start_0|> Web3Initializer.__init__(self, url, port) self.contract = self.web3.eth.contract(abi=contract_abi, address=contract_address) self.last_block = self.web3.eth.blockNumber self.private_key = private_key self.minter = minter self.password = password s...

Ethereum implementation of the Responder.

EthereumResponder

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EthereumResponder: """Ethereum implementation of the Responder.""" def __init__(self, minter: str, contract_address: str, contract_abi: object, url: str, port: int=None, private_key: str=None, password: str=None): """:param str minter: The contract minter who is in charge of data col...

stack_v2_sparse_classes_36k_train_009124

14,213

permissive

[ { "docstring": ":param str minter: The contract minter who is in charge of data collecting :param str contract_address: The address of data transfer contract implementing Interledger interface :param object contract_abi: Contract ABI :param str url: The web3 url :param int port: The web3 port, if any (default=N...

2

stack_v2_sparse_classes_30k_train_002950

Implement the Python class `EthereumResponder` described below. Class description: Ethereum implementation of the Responder. Method signatures and docstrings: - def __init__(self, minter: str, contract_address: str, contract_abi: object, url: str, port: int=None, private_key: str=None, password: str=None): :param str...

404b6caa7c5ea58c27c20d716dffa60904fb7f46

<|skeleton|> class EthereumResponder: """Ethereum implementation of the Responder.""" def __init__(self, minter: str, contract_address: str, contract_abi: object, url: str, port: int=None, private_key: str=None, password: str=None): """:param str minter: The contract minter who is in charge of data col...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EthereumResponder: """Ethereum implementation of the Responder.""" def __init__(self, minter: str, contract_address: str, contract_abi: object, url: str, port: int=None, private_key: str=None, password: str=None): """:param str minter: The contract minter who is in charge of data collecting :para...

the_stack_v2_python_sparse

il-agent/src/data_transfer/ethereum.py

SOFIE-project/SMAUG-Marketplace

train

1

0f41d718b7264f317ab9661d9e49515cae80a97a

[ "super().__init__(server, params, backend)\nself._client_write = None\nself._client_read = None\nself._master_name, self._sentinel_hosts, self._database_name = self.parse_connection_string(server)\nself.log = logging.getLogger(DJANGO_REDIS_LOGGER)", "try:\n master_name, servers_string, database_name = connecti...

<|body_start_0|> super().__init__(server, params, backend) self._client_write = None self._client_read = None self._master_name, self._sentinel_hosts, self._database_name = self.parse_connection_string(server) self.log = logging.getLogger(DJANGO_REDIS_LOGGER) <|end_body_0|> <|bo...

Sentinel client object extending django-redis DefaultClient

SentinelClient

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class SentinelClient: """Sentinel client object extending django-redis DefaultClient""" def __init__(self, server, params, backend): """Slightly different logic than connection to multiple Redis servers. Reserve only one write and one read descriptor, as they will be closed on exit anyway....

stack_v2_sparse_classes_36k_train_009125

6,382

permissive

[ { "docstring": "Slightly different logic than connection to multiple Redis servers. Reserve only one write and one read descriptor, as they will be closed on exit anyway.", "name": "__init__", "signature": "def __init__(self, server, params, backend)" }, { "docstring": "Parse connection string i...

5

stack_v2_sparse_classes_30k_train_004789

Implement the Python class `SentinelClient` described below. Class description: Sentinel client object extending django-redis DefaultClient Method signatures and docstrings: - def __init__(self, server, params, backend): Slightly different logic than connection to multiple Redis servers. Reserve only one write and on...

f2d46fc46b271eb3b4d565039a29c15ba15f027c

<|skeleton|> class SentinelClient: """Sentinel client object extending django-redis DefaultClient""" def __init__(self, server, params, backend): """Slightly different logic than connection to multiple Redis servers. Reserve only one write and one read descriptor, as they will be closed on exit anyway....

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SentinelClient: """Sentinel client object extending django-redis DefaultClient""" def __init__(self, server, params, backend): """Slightly different logic than connection to multiple Redis servers. Reserve only one write and one read descriptor, as they will be closed on exit anyway.""" s...

the_stack_v2_python_sparse

src/richie/apps/core/cache.py

openfun/richie

train

238

97708158999324baa3be4855505af8b6bed94ca1

[ "frame_size = 200\nhop_size = 180\naudio = tf.random.normal([1, 1000])\npadded_audio = spectral_ops.pad(audio, frame_size, hop_size, 'same')\ns_pad_end = tf.signal.stft(audio, frame_size, hop_size, pad_end=True)\ns_same = tf.signal.stft(padded_audio, frame_size, hop_size, pad_end=False)\nself.assertAllClose(np.abs(...

<|body_start_0|> frame_size = 200 hop_size = 180 audio = tf.random.normal([1, 1000]) padded_audio = spectral_ops.pad(audio, frame_size, hop_size, 'same') s_pad_end = tf.signal.stft(audio, frame_size, hop_size, pad_end=True) s_same = tf.signal.stft(padded_audio, frame_size...

PadTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PadTest: def test_pad_end_stft_is_consistent(self): """Ensure that spectral_ops.pad('same') is same as stft(pad_end=True).""" <|body_0|> def test_padding_shapes_are_correct(self, padding, hop_size): """Ensure that pad() and get_framed_lengths() have correct shapes.""...

stack_v2_sparse_classes_36k_train_009126

11,158

permissive

[ { "docstring": "Ensure that spectral_ops.pad('same') is same as stft(pad_end=True).", "name": "test_pad_end_stft_is_consistent", "signature": "def test_pad_end_stft_is_consistent(self)" }, { "docstring": "Ensure that pad() and get_framed_lengths() have correct shapes.", "name": "test_padding...

2

stack_v2_sparse_classes_30k_train_004112

Implement the Python class `PadTest` described below. Class description: Implement the PadTest class. Method signatures and docstrings: - def test_pad_end_stft_is_consistent(self): Ensure that spectral_ops.pad('same') is same as stft(pad_end=True). - def test_padding_shapes_are_correct(self, padding, hop_size): Ensur...

7e0a39420f3bd87d9efd54cf0d36f4e258311340

<|skeleton|> class PadTest: def test_pad_end_stft_is_consistent(self): """Ensure that spectral_ops.pad('same') is same as stft(pad_end=True).""" <|body_0|> def test_padding_shapes_are_correct(self, padding, hop_size): """Ensure that pad() and get_framed_lengths() have correct shapes.""...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PadTest: def test_pad_end_stft_is_consistent(self): """Ensure that spectral_ops.pad('same') is same as stft(pad_end=True).""" frame_size = 200 hop_size = 180 audio = tf.random.normal([1, 1000]) padded_audio = spectral_ops.pad(audio, frame_size, hop_size, 'same') ...

the_stack_v2_python_sparse

ddsp/spectral_ops_test.py

magenta/ddsp

train

2,666

bd2af086ccad86af8fb117ae783e48ea5be34a38

[ "try:\n indices = self.getArrayIndices()\nexcept TypeError:\n return self\navailable_index = 0\ntry:\n for i in range(max(indices) + 2):\n if not self[i].connections():\n available_index = i\n break\nexcept ValueError:\n available_index = 0\nreturn self[available_index]", ...

<|body_start_0|> try: indices = self.getArrayIndices() except TypeError: return self available_index = 0 try: for i in range(max(indices) + 2): if not self[i].connections(): available_index = i br...

Extension to PyMel classes

MayaExtension

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MayaExtension: """Extension to PyMel classes""" def next_available(self): """returns the next available attr in a multi attr :return: The available index as an attribute""" <|body_0|> def value(self, value=None): """returns or set the check box value""" <...

stack_v2_sparse_classes_36k_train_009127

37,214

permissive

[ { "docstring": "returns the next available attr in a multi attr :return: The available index as an attribute", "name": "next_available", "signature": "def next_available(self)" }, { "docstring": "returns or set the check box value", "name": "value", "signature": "def value(self, value=No...

3

stack_v2_sparse_classes_30k_val_001038

Implement the Python class `MayaExtension` described below. Class description: Extension to PyMel classes Method signatures and docstrings: - def next_available(self): returns the next available attr in a multi attr :return: The available index as an attribute - def value(self, value=None): returns or set the check b...

7b4cf60cb17f00435ecc3e03d573a9e2d0b44fe0

<|skeleton|> class MayaExtension: """Extension to PyMel classes""" def next_available(self): """returns the next available attr in a multi attr :return: The available index as an attribute""" <|body_0|> def value(self, value=None): """returns or set the check box value""" <...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MayaExtension: """Extension to PyMel classes""" def next_available(self): """returns the next available attr in a multi attr :return: The available index as an attribute""" try: indices = self.getArrayIndices() except TypeError: return self availabl...

the_stack_v2_python_sparse

anima/dcc/mayaEnv/extension.py

eoyilmaz/anima

train

113

654d1d3cc6e6dc4341c4c2ae4627f6b58877500d

[ "self.psum = []\ns = 0\nfor n in w:\n s += n\n self.psum.append(s)\nself.total = s", "target = math.floor(self.total * random.random())\ni, j = (0, len(self.psum) - 1)\nwhile i + 1 < j:\n mid = (i + j) / 2\n if self.psum[mid] > target:\n j = mid\n else:\n i = mid\nif self.psum[i] > ta...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009128

1,609

no_license

[ { "docstring": ":type w: List[int]", "name": "__init__", "signature": "def __init__(self, w)" }, { "docstring": ":rtype: int", "name": "pickIndex", "signature": "def pickIndex(self)" } ]

2

null

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

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

6aaf58b1e1170a994affd6330d90b89aaaf582d9

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def __init__(self, w): """:type w: List[int]""" self.psum = [] s = 0 for n in w: s += n self.psum.append(s) self.total = s def pickIndex(self): """:rtype: int""" target = math.floor(self.total * random.random()) ...

the_stack_v2_python_sparse

Python/528.py

skywhat/leetcode

train

82

92836280dd9151eb3043d2ffd9b6f10bd91f7b27

[ "if isinstance(bing_key, str):\n self.bing_key = bing_key\nelse:\n raise TypeError(\"'bing_key' must be type of string\")\nself.access_token = self.__get_access_token()\nif language is None:\n self.language = 'germany'\nelif isinstance(language, str):\n self.language = language\nelse:\n raise TypeErr...

<|body_start_0|> if isinstance(bing_key, str): self.bing_key = bing_key else: raise TypeError("'bing_key' must be type of string") self.access_token = self.__get_access_token() if language is None: self.language = 'germany' elif isinstance(lang...

TextToSpeech

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TextToSpeech: def __init__(self, bing_key, language=None, gender=None, output_mode='riff-16khz-16bit-mono-pcm'): """constructor to initialize bing_key, language, gender and output mode :param bing_key: string, bing api key to get the access token :param language: string, select appropria...

stack_v2_sparse_classes_36k_train_009129

5,760

permissive

[ { "docstring": "constructor to initialize bing_key, language, gender and output mode :param bing_key: string, bing api key to get the access token :param language: string, select appropriate language for the output speech :param gender: string, gender of the speaker, can be 'Female' or 'Male' :param output_mode...

4

stack_v2_sparse_classes_30k_train_000518

Implement the Python class `TextToSpeech` described below. Class description: Implement the TextToSpeech class. Method signatures and docstrings: - def __init__(self, bing_key, language=None, gender=None, output_mode='riff-16khz-16bit-mono-pcm'): constructor to initialize bing_key, language, gender and output mode :p...

f6bd9e68365797351dfc7a4cb17ee5141ec77f97

<|skeleton|> class TextToSpeech: def __init__(self, bing_key, language=None, gender=None, output_mode='riff-16khz-16bit-mono-pcm'): """constructor to initialize bing_key, language, gender and output mode :param bing_key: string, bing api key to get the access token :param language: string, select appropria...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TextToSpeech: def __init__(self, bing_key, language=None, gender=None, output_mode='riff-16khz-16bit-mono-pcm'): """constructor to initialize bing_key, language, gender and output mode :param bing_key: string, bing api key to get the access token :param language: string, select appropriate language fo...

the_stack_v2_python_sparse

speech_control/text_to_speech.py

NikoKalbitzer/speech_processing_v2

train

0

d3285af8240246530d8b4602ebb79bdc610586f7

[ "self.api_url = 'http://api.douban.com/labs/bubbler/user/{}'\nself.session = Session()\nself.home_page = 'http://www.douban.com/people/{}'", "userid = user[0]\nresult = self.session.get(self.api_url.format(userid)).json()\nself.assertEqual(result.get('id'), '1832573')\nself.assertEqual(result.get('uid'), userid)\...

<|body_start_0|> self.api_url = 'http://api.douban.com/labs/bubbler/user/{}' self.session = Session() self.home_page = 'http://www.douban.com/people/{}' <|end_body_0|> <|body_start_1|> userid = user[0] result = self.session.get(self.api_url.format(userid)).json() self.as...

test dou ban apis

TestDouBanApi

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009130

1,986

no_license

[ { "docstring": "pass", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "pass", "name": "test_first_user_info", "signature": "def test_first_user_info(self)" }, { "docstring": "pass", "name": "test_second_user_info", "signature": "def test_second_user_inf...

4

stack_v2_sparse_classes_30k_train_021345

Implement the Python class `TestDouBanApi` described below. Class description: test dou ban apis Method signatures and docstrings: - def setUp(self): pass - def test_first_user_info(self): pass - def test_second_user_info(self): pass - def test_third_user_info(self): pass

Implement the Python class `TestDouBanApi` described below. Class description: test dou ban apis Method signatures and docstrings: - def setUp(self): pass - def test_first_user_info(self): pass - def test_second_user_info(self): pass - def test_third_user_info(self): pass <|skeleton|> class TestDouBanApi: """tes...

b8dd4dd6dafaf9899e97bbb75a3ef80246ec427b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestDouBanApi: """test dou ban apis""" def setUp(self): """pass""" self.api_url = 'http://api.douban.com/labs/bubbler/user/{}' self.session = Session() self.home_page = 'http://www.douban.com/people/{}' def test_first_user_info(self): """pass""" userid...

the_stack_v2_python_sparse

fifth_week/second_day/test_douban_api.py

czkun1986/Let-s-go-python-

train

0

115659e72ad0f9618a5da88d602ad39644ae2d6e

[ "self.org = org\nself.name = name\nself.telephone = telephone\nself.email = email", "template = 'BEGIN:VCARD\\nORG:{}\\nFN:{}\\nTEL:{}\\nEMAIL:{}\\nEND:VCARD'.format(self.org, self.name, self.telephone, self.email)\nprint(template)\nimg = qrcode.make(template)\nimage_path = path + '%s.png' % self.name\nimg.save(i...

<|body_start_0|> self.org = org self.name = name self.telephone = telephone self.email = email <|end_body_0|> <|body_start_1|> template = 'BEGIN:VCARD\nORG:{}\nFN:{}\nTEL:{}\nEMAIL:{}\nEND:VCARD'.format(self.org, self.name, self.telephone, self.email) print(template) ...

实现生成二维码图片功能

Print_Image

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009131

944

no_license

[ { "docstring": "构造函数，初始化以下参数： self.org：部门（职位） self.name：姓名 self.telephone：电话 self.email: 邮箱", "name": "__init__", "signature": "def __init__(self, org, name, telephone, email)" }, { "docstring": "生成二维码图片", "name": "get_vard", "signature": "def get_vard(self, path)" } ]

2

stack_v2_sparse_classes_30k_train_007808

Implement the Python class `Print_Image` described below. Class description: 实现生成二维码图片功能 Method signatures and docstrings: - def __init__(self, org, name, telephone, email): 构造函数，初始化以下参数： self.org：部门（职位） self.name：姓名 self.telephone：电话 self.email: 邮箱 - def get_vard(self, path): 生成二维码图片

Implement the Python class `Print_Image` described below. Class description: 实现生成二维码图片功能 Method signatures and docstrings: - def __init__(self, org, name, telephone, email): 构造函数，初始化以下参数： self.org：部门（职位） self.name：姓名 self.telephone：电话 self.email: 邮箱 - def get_vard(self, path): 生成二维码图片 <|skeleton|> class Print_Image:...

588cae717d46f0dfcec41ea2c2bf4328d5d46b5c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Print_Image: """实现生成二维码图片功能""" def __init__(self, org, name, telephone, email): """构造函数，初始化以下参数： self.org：部门（职位） self.name：姓名 self.telephone：电话 self.email: 邮箱""" self.org = org self.name = name self.telephone = telephone self.email = email def get_vard(self, p...

the_stack_v2_python_sparse

print_images/print_image.py

bai-design/my-tcs-git

train

0

6e3aaee3eee289eed36819c1b0b53c39d0ead6a0

[ "self.eula = kwargs.pop('eula', None)\nself.content_type_id = kwargs.pop('content_type_id', None)\nself.object_pk = kwargs.pop('object_pk', None)\nsuper(SignEULAForm, self).__init__(*args, **kwargs)\nself.fields['accept'].widget.attrs.update({'class': 'required'})", "if self.content_type_id is not None and self.o...

<|body_start_0|> self.eula = kwargs.pop('eula', None) self.content_type_id = kwargs.pop('content_type_id', None) self.object_pk = kwargs.pop('object_pk', None) super(SignEULAForm, self).__init__(*args, **kwargs) self.fields['accept'].widget.attrs.update({'class': 'required'}) <|e...

Display accept and next fields on EULA form.

SignEULAForm

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009132

1,601

no_license

[ { "docstring": "Initialise variables.", "name": "__init__", "signature": "def __init__(self, *args, **kwargs)" }, { "docstring": "Save the UserEULA and return the saved object.", "name": "save", "signature": "def save(self, request)" } ]

2

stack_v2_sparse_classes_30k_train_013457

Implement the Python class `SignEULAForm` described below. Class description: Display accept and next fields on EULA form. Method signatures and docstrings: - def __init__(self, *args, **kwargs): Initialise variables. - def save(self, request): Save the UserEULA and return the saved object.

Implement the Python class `SignEULAForm` described below. Class description: Display accept and next fields on EULA form. Method signatures and docstrings: - def __init__(self, *args, **kwargs): Initialise variables. - def save(self, request): Save the UserEULA and return the saved object. <|skeleton|> class SignEU...

9219e6c5a49eecd1c66dd1b518640c5d678acab6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SignEULAForm: """Display accept and next fields on EULA form.""" def __init__(self, *args, **kwargs): """Initialise variables.""" self.eula = kwargs.pop('eula', None) self.content_type_id = kwargs.pop('content_type_id', None) self.object_pk = kwargs.pop('object_pk', None) ...

the_stack_v2_python_sparse

tunobase/eula/forms.py

unomena/tunobase

train

0

71d7dfb3db3d61c4283458518b9cb104f5b7c2fc

[ "self.argument_spec = netapp_utils.na_ontap_host_argument_spec()\nself.argument_spec.update(dict(state=dict(required=False, choices=['present'], default='present'), node=dict(required=True, type='str'), port=dict(required=True, type='str'), mtu=dict(required=False, type='str', default=None), autonegotiate_admin=dic...

<|body_start_0|> self.argument_spec = netapp_utils.na_ontap_host_argument_spec() self.argument_spec.update(dict(state=dict(required=False, choices=['present'], default='present'), node=dict(required=True, type='str'), port=dict(required=True, type='str'), mtu=dict(required=False, type='str', default=Non...

Modify a Net port

NetAppOntapNetPort

[ "GPL-3.0-or-later", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NetAppOntapNetPort: """Modify a Net port""" def __init__(self): """Initialize the Ontap Net Port Class""" <|body_0|> def get_net_port(self): """Return details about the net port :return: Details about the net port. None if not found. :rtype: dict""" <|bod...

stack_v2_sparse_classes_36k_train_009133

8,175

permissive

[ { "docstring": "Initialize the Ontap Net Port Class", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Return details about the net port :return: Details about the net port. None if not found. :rtype: dict", "name": "get_net_port", "signature": "def get_net_port(s...

4

stack_v2_sparse_classes_30k_train_011677

Implement the Python class `NetAppOntapNetPort` described below. Class description: Modify a Net port Method signatures and docstrings: - def __init__(self): Initialize the Ontap Net Port Class - def get_net_port(self): Return details about the net port :return: Details about the net port. None if not found. :rtype: ...

0cd0c003884155ac922e3e301305ac202de7028c

<|skeleton|> class NetAppOntapNetPort: """Modify a Net port""" def __init__(self): """Initialize the Ontap Net Port Class""" <|body_0|> def get_net_port(self): """Return details about the net port :return: Details about the net port. None if not found. :rtype: dict""" <|bod...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NetAppOntapNetPort: """Modify a Net port""" def __init__(self): """Initialize the Ontap Net Port Class""" self.argument_spec = netapp_utils.na_ontap_host_argument_spec() self.argument_spec.update(dict(state=dict(required=False, choices=['present'], default='present'), node=dict(re...

the_stack_v2_python_sparse

ansible/my_env/lib/python2.7/site-packages/ansible/modules/storage/netapp/na_ontap_net_port.py

otus-devops-2019-02/yyashkin_infra

train

0

c4e849864d94b8b94dc15c79409964e27fd5d805

[ "try:\n response = requests.get(CONF.api.github_api_capabilities_url)\n LOG.debug('Response Status: %s / Used Requests Cache: %s' % (response.status_code, getattr(response, 'from_cache', False)))\n if response.status_code == 200:\n regex = re.compile('^[0-9]{4}\\\\.[0-9]{2}\\\\.json$')\n capa...

<|body_start_0|> try: response = requests.get(CONF.api.github_api_capabilities_url) LOG.debug('Response Status: %s / Used Requests Cache: %s' % (response.status_code, getattr(response, 'from_cache', False))) if response.status_code == 200: regex = re.compile('...

/v1/capabilities handler. This acts as a proxy for retrieving capability files from the openstack/defcore Github repository.

CapabilitiesController

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CapabilitiesController: """/v1/capabilities handler. This acts as a proxy for retrieving capability files from the openstack/defcore Github repository.""" def get(self): """Get a list of all available capabilities.""" <|body_0|> def get_one(self, file_name): """H...

stack_v2_sparse_classes_36k_train_009134

8,563

permissive

[ { "docstring": "Get a list of all available capabilities.", "name": "get", "signature": "def get(self)" }, { "docstring": "Handler for getting contents of specific capability file.", "name": "get_one", "signature": "def get_one(self, file_name)" } ]

2

stack_v2_sparse_classes_30k_train_016661

Implement the Python class `CapabilitiesController` described below. Class description: /v1/capabilities handler. This acts as a proxy for retrieving capability files from the openstack/defcore Github repository. Method signatures and docstrings: - def get(self): Get a list of all available capabilities. - def get_on...

711f7527c430873edbed72e4f85af916b2088014

<|skeleton|> class CapabilitiesController: """/v1/capabilities handler. This acts as a proxy for retrieving capability files from the openstack/defcore Github repository.""" def get(self): """Get a list of all available capabilities.""" <|body_0|> def get_one(self, file_name): """H...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CapabilitiesController: """/v1/capabilities handler. This acts as a proxy for retrieving capability files from the openstack/defcore Github repository.""" def get(self): """Get a list of all available capabilities.""" try: response = requests.get(CONF.api.github_api_capabiliti...

the_stack_v2_python_sparse

refstack/api/controllers/v1.py

russell/refstack

train

0

92313e22fb0c07158720c667515969804e4e981f

[ "if not isinstance(message, Message):\n raise TypeError('`{}` is not a message'.format(str(type(message))))\nserialized_message = [encode_message(message)]\nif response_to is not None and response_to.identity != '':\n serialized_message = [response_to.identity] + serialized_message\ntry:\n await socket.sen...

<|body_start_0|> if not isinstance(message, Message): raise TypeError('`{}` is not a message'.format(str(type(message)))) serialized_message = [encode_message(message)] if response_to is not None and response_to.identity != '': serialized_message = [response_to.identity] ...

Static helper class for sending and receiving messages through zmq sockets.

Messenger

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Messenger: """Static helper class for sending and receiving messages through zmq sockets.""" async def send(socket: zmq.asyncio.Socket, message: Message, response_to: Optional[Message]=None) -> None: """Encode given message and send it to the given socket. :param socket: socket to se...

stack_v2_sparse_classes_36k_train_009135

3,056

permissive

[ { "docstring": "Encode given message and send it to the given socket. :param socket: socket to send the message to :param message: message to be send :param response_to: optional message to respond to :raise MessengerError: if it fails :raise UnknownMessageTypeError: if the message to be send is of unknown type...

2

stack_v2_sparse_classes_30k_train_011255

Implement the Python class `Messenger` described below. Class description: Static helper class for sending and receiving messages through zmq sockets. Method signatures and docstrings: - async def send(socket: zmq.asyncio.Socket, message: Message, response_to: Optional[Message]=None) -> None: Encode given message and...

0847c9885584378dd68a48c40d03f9bb02b2b57c

<|skeleton|> class Messenger: """Static helper class for sending and receiving messages through zmq sockets.""" async def send(socket: zmq.asyncio.Socket, message: Message, response_to: Optional[Message]=None) -> None: """Encode given message and send it to the given socket. :param socket: socket to se...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Messenger: """Static helper class for sending and receiving messages through zmq sockets.""" async def send(socket: zmq.asyncio.Socket, message: Message, response_to: Optional[Message]=None) -> None: """Encode given message and send it to the given socket. :param socket: socket to send the messag...

the_stack_v2_python_sparse

shepherd/comm/messenger.py

iterait/shepherd

train

6

27e2db0f96453751978fe2b1455273cfe2e8b1f6

[ "add_input_output_information(self, input_names, output_name, output_shape)\nself.bias = np.ascontiguousarray(bias, dtype=np.double)\nself.is_minuend = is_minuend", "offset, old_length = self.abstract_information\nelement = ffn_sub_bias_zono(man, True, element, offset, self.bias, self.is_minuend, old_length)\nadd...

DeepzonoSub

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DeepzonoSub: def __init__(self, bias, is_minuend, input_names, output_name, output_shape): """Arguments --------- bias : numpy.ndarray the values of the first addend input_names : iterable iterable with the name of the second addend output_name : str name of this node's output output_sha...

stack_v2_sparse_classes_36k_train_009136

34,420

permissive

[ { "docstring": "Arguments --------- bias : numpy.ndarray the values of the first addend input_names : iterable iterable with the name of the second addend output_name : str name of this node's output output_shape : iterable iterable of ints with the shape of the output of this node", "name": "__init__", ...

2

stack_v2_sparse_classes_30k_train_007600

Implement the Python class `DeepzonoSub` described below. Class description: Implement the DeepzonoSub class. Method signatures and docstrings: - def __init__(self, bias, is_minuend, input_names, output_name, output_shape): Arguments --------- bias : numpy.ndarray the values of the first addend input_names : iterable...

8771d3158b2c64a360d5bdfd4433490863257dd6

<|skeleton|> class DeepzonoSub: def __init__(self, bias, is_minuend, input_names, output_name, output_shape): """Arguments --------- bias : numpy.ndarray the values of the first addend input_names : iterable iterable with the name of the second addend output_name : str name of this node's output output_sha...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DeepzonoSub: def __init__(self, bias, is_minuend, input_names, output_name, output_shape): """Arguments --------- bias : numpy.ndarray the values of the first addend input_names : iterable iterable with the name of the second addend output_name : str name of this node's output output_shape : iterable ...

the_stack_v2_python_sparse

tf_verify/deepzono_nodes.py

eth-sri/eran

train

306

7206e842d94c92cdf7ea889171d61692c53c469d

[ "from models import Proyecto, User, users\nproyecto = Proyecto.query.filter(Proyecto.nombre == proyectoNombre).first_or_404()\nusuario = User.query.filter(User.name == userName).first_or_404()\nproyecto.users.append(usuario)\ndb.session.commit()", "from models import Proyecto, User, users\nproyecto = Proyecto.que...

<|body_start_0|> from models import Proyecto, User, users proyecto = Proyecto.query.filter(Proyecto.nombre == proyectoNombre).first_or_404() usuario = User.query.filter(User.name == userName).first_or_404() proyecto.users.append(usuario) db.session.commit() <|end_body_0|> <|body...

MgrProyectoXUser

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009137

837

no_license

[ { "docstring": "asigna a un proyecto un usuario", "name": "guardar", "signature": "def guardar(self, proyectoNombre, userName)" }, { "docstring": "deasigna a un proyecto un usuario", "name": "borrar", "signature": "def borrar(self, proyectoNombre, userName)" } ]

2

stack_v2_sparse_classes_30k_train_002927

Implement the Python class `MgrProyectoXUser` described below. Class description: Implement the MgrProyectoXUser class. Method signatures and docstrings: - def guardar(self, proyectoNombre, userName): asigna a un proyecto un usuario - def borrar(self, proyectoNombre, userName): deasigna a un proyecto un usuario

Implement the Python class `MgrProyectoXUser` described below. Class description: Implement the MgrProyectoXUser class. Method signatures and docstrings: - def guardar(self, proyectoNombre, userName): asigna a un proyecto un usuario - def borrar(self, proyectoNombre, userName): deasigna a un proyecto un usuario <|sk...

da5330f318698f86af12c3c91cb3f1524540f4ca

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MgrProyectoXUser: def guardar(self, proyectoNombre, userName): """asigna a un proyecto un usuario""" from models import Proyecto, User, users proyecto = Proyecto.query.filter(Proyecto.nombre == proyectoNombre).first_or_404() usuario = User.query.filter(User.name == userName).fi...

the_stack_v2_python_sparse

src/mgrProyectoXUser.py

frvc123/proyecto-sicp

train

0

e7fd4a0f2325d451914d8481238c7d5cef58f1e0

[ "super(Range, self).__init__()\nif field_name:\n self.add_field(field_name, args)", "if args is None:\n args = {}\nreturn self.set_param(field_name, args)" ]

<|body_start_0|> super(Range, self).__init__() if field_name: self.add_field(field_name, args) <|end_body_0|> <|body_start_1|> if args is None: args = {} return self.set_param(field_name, args) <|end_body_1|>

@see: http://www.elasticsearch.org/guide/reference/query-dsl/range-query/

Range

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Range: """@see: http://www.elasticsearch.org/guide/reference/query-dsl/range-query/""" def __init__(self, field_name=None, args=None): """@param field_name: @type field_name: str @param args: @type args: dict""" <|body_0|> def add_field(self, field_name, args=None): ...

stack_v2_sparse_classes_36k_train_009138

819

permissive

[ { "docstring": "@param field_name: @type field_name: str @param args: @type args: dict", "name": "__init__", "signature": "def __init__(self, field_name=None, args=None)" }, { "docstring": "Add a range field to the query @param field_name: @type field_name: str @param args: @type args: dict @ret...

2

null

Implement the Python class `Range` described below. Class description: @see: http://www.elasticsearch.org/guide/reference/query-dsl/range-query/ Method signatures and docstrings: - def __init__(self, field_name=None, args=None): @param field_name: @type field_name: str @param args: @type args: dict - def add_field(se...

0fbf68ed3e17d665e3cdf1913444ebf1f72693dd

<|skeleton|> class Range: """@see: http://www.elasticsearch.org/guide/reference/query-dsl/range-query/""" def __init__(self, field_name=None, args=None): """@param field_name: @type field_name: str @param args: @type args: dict""" <|body_0|> def add_field(self, field_name, args=None): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Range: """@see: http://www.elasticsearch.org/guide/reference/query-dsl/range-query/""" def __init__(self, field_name=None, args=None): """@param field_name: @type field_name: str @param args: @type args: dict""" super(Range, self).__init__() if field_name: self.add_fie...

the_stack_v2_python_sparse

pylastica/query/range.py

jlinn/pylastica

train

5

1623508708711a8ade6ef3692c872a24fe6d052d

[ "exprval = self.term()\nwhile self._accept('PLUS') or self._accept('MINUS'):\n op = self.tok.type\n right = self.term()\n if op == 'PLUS':\n exprval = ('+', exprval, right)\n elif op == 'MINUS':\n exprval = ('-', exprval, right)\nreturn exprval", "termval = self.factor()\nwhile self._acc...

<|body_start_0|> exprval = self.term() while self._accept('PLUS') or self._accept('MINUS'): op = self.tok.type right = self.term() if op == 'PLUS': exprval = ('+', exprval, right) elif op == 'MINUS': exprval = ('-', exprval,...

ExpressionTreeBuilder

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ExpressionTreeBuilder: def expr(self): """expression ::= term { ('+'|'-') term }""" <|body_0|> def term(self): """term ::= factor { ('*'|'/') factor }*""" <|body_1|> def factor(self): """factor ::= NUM | ( expr )""" <|body_2|> <|end_skel...

stack_v2_sparse_classes_36k_train_009139

9,547

no_license

[ { "docstring": "expression ::= term { ('+'|'-') term }", "name": "expr", "signature": "def expr(self)" }, { "docstring": "term ::= factor { ('*'|'/') factor }*", "name": "term", "signature": "def term(self)" }, { "docstring": "factor ::= NUM | ( expr )", "name": "factor", ...

3

null

Implement the Python class `ExpressionTreeBuilder` described below. Class description: Implement the ExpressionTreeBuilder class. Method signatures and docstrings: - def expr(self): expression ::= term { ('+'|'-') term } - def term(self): term ::= factor { ('*'|'/') factor }* - def factor(self): factor ::= NUM | ( ex...

632a54124c6a15103f6773cbb3668bf67c72993f

<|skeleton|> class ExpressionTreeBuilder: def expr(self): """expression ::= term { ('+'|'-') term }""" <|body_0|> def term(self): """term ::= factor { ('*'|'/') factor }*""" <|body_1|> def factor(self): """factor ::= NUM | ( expr )""" <|body_2|> <|end_skel...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ExpressionTreeBuilder: def expr(self): """expression ::= term { ('+'|'-') term }""" exprval = self.term() while self._accept('PLUS') or self._accept('MINUS'): op = self.tok.type right = self.term() if op == 'PLUS': exprval = ('+', exp...

the_stack_v2_python_sparse

Chapter 2: Strings and Text/2.19.writing_a_simple_recursive_descent_parser.py

fluency03/Python-Cookbook

train

2

a6ca4fae47d954ed846d3246afef26febbf8fe90

[ "H = self.units\nassert isinstance(input_shape, list)\nnb_inputs = len(input_shape)\nassert nb_inputs >= 2\nassert len(input_shape[0]) == 3\nB, P, H_ = input_shape[0]\nassert H_ == 2 * H\nassert len(input_shape[1]) == 3\nB, Q, H_ = input_shape[1]\nassert H_ == 2 * H\nself.input_spec = [None]\nsuper(QuestionAttnGRU,...

<|body_start_0|> H = self.units assert isinstance(input_shape, list) nb_inputs = len(input_shape) assert nb_inputs >= 2 assert len(input_shape[0]) == 3 B, P, H_ = input_shape[0] assert H_ == 2 * H assert len(input_shape[1]) == 3 B, Q, H_ = input_sh...

Class implementing attention mechanism, to get the relevance/importance of one tensor on other. Used to obtain question-aware representation of the passage, i.e. importance of each word in the question w.r.t passage.

QuestionAttnGRU

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class QuestionAttnGRU: """Class implementing attention mechanism, to get the relevance/importance of one tensor on other. Used to obtain question-aware representation of the passage, i.e. importance of each word in the question w.r.t passage.""" def build(self, input_shape): """Creates the...

stack_v2_sparse_classes_36k_train_009140

2,239

permissive

[ { "docstring": "Creates the layer weights. Must be implemented on all layers that have weights. # Arguments input_shape: Keras tensor (future input to layer) or list/tuple of Keras tensors to reference for weight shape computations", "name": "build", "signature": "def build(self, input_shape)" }, { ...

2

stack_v2_sparse_classes_30k_train_001905

Implement the Python class `QuestionAttnGRU` described below. Class description: Class implementing attention mechanism, to get the relevance/importance of one tensor on other. Used to obtain question-aware representation of the passage, i.e. importance of each word in the question w.r.t passage. Method signatures an...

34dca815e9f4b7a9def0d4d9292f7a409515cac9

<|skeleton|> class QuestionAttnGRU: """Class implementing attention mechanism, to get the relevance/importance of one tensor on other. Used to obtain question-aware representation of the passage, i.e. importance of each word in the question w.r.t passage.""" def build(self, input_shape): """Creates the...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class QuestionAttnGRU: """Class implementing attention mechanism, to get the relevance/importance of one tensor on other. Used to obtain question-aware representation of the passage, i.e. importance of each word in the question w.r.t passage.""" def build(self, input_shape): """Creates the layer weight...

the_stack_v2_python_sparse

layers/QuestionAttnGRU.py

halloTheCoder/RNet-Keras

train

2

24946af70bd19f4df06148cc31a255e1e471b47b

[ "if not kwargs.get('obj_ids'):\n obj_model = facade.get_route_map_entry_by_search(self.search)\n objects = obj_model['query_set']\n only_main_property = False\nelse:\n ids = kwargs.get('obj_ids').split(';')\n objects = facade.get_route_map_entry_by_ids(ids)\n only_main_property = True\n obj_mod...

<|body_start_0|> if not kwargs.get('obj_ids'): obj_model = facade.get_route_map_entry_by_search(self.search) objects = obj_model['query_set'] only_main_property = False else: ids = kwargs.get('obj_ids').split(';') objects = facade.get_route_map...

RouteMapView

[ "Apache-2.0", "BSD-3-Clause", "MIT", "LicenseRef-scancode-public-domain", "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009141

9,414

permissive

[ { "docstring": "Returns a list of RouteMapEntries by ids ou dict.", "name": "get", "signature": "def get(self, request, *args, **kwargs)" }, { "docstring": "Create new RouteMapEntry.", "name": "post", "signature": "def post(self, request, *args, **kwargs)" }, { "docstring": "Upda...

4

stack_v2_sparse_classes_30k_train_004713

Implement the Python class `RouteMapView` described below. Class description: Implement the RouteMapView class. Method signatures and docstrings: - def get(self, request, *args, **kwargs): Returns a list of RouteMapEntries by ids ou dict. - def post(self, request, *args, **kwargs): Create new RouteMapEntry. - def put...

eb27e1d977a1c4bb1fee8fb51b8d8050c64696d9

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RouteMapView: def get(self, request, *args, **kwargs): """Returns a list of RouteMapEntries by ids ou dict.""" if not kwargs.get('obj_ids'): obj_model = facade.get_route_map_entry_by_search(self.search) objects = obj_model['query_set'] only_main_property = F...

the_stack_v2_python_sparse

networkapi/api_route_map/v4/views.py

globocom/GloboNetworkAPI

train

86

6aab3c8814403e4bc542411b40b7f20bdb7ab0bb

[ "self.login()\nresponse = self.api_response(expected_response_code=302, api_version=api_version)\nassert self.username in response['location']", "self.login()\nself.user.refresh_from_db()\nlast_login_before = self.user.last_login\nself.api_response(expected_response_code=302, api_version=api_version)\nself.user.r...

Tests for /api/mobile/{api_version}/my_user_info

TestUserInfoApi

[ "MIT", "AGPL-3.0-only", "AGPL-3.0-or-later" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestUserInfoApi: """Tests for /api/mobile/{api_version}/my_user_info""" def test_success(self, api_version): """Verify the endpoint redirects to the user detail endpoint""" <|body_0|> def test_last_loggedin_updated(self, api_version): """Verify that a user's last...

stack_v2_sparse_classes_36k_train_009142

26,573

permissive

[ { "docstring": "Verify the endpoint redirects to the user detail endpoint", "name": "test_success", "signature": "def test_success(self, api_version)" }, { "docstring": "Verify that a user's last logged in value updates after hitting the my_user_info endpoint", "name": "test_last_loggedin_up...

2

null

Implement the Python class `TestUserInfoApi` described below. Class description: Tests for /api/mobile/{api_version}/my_user_info Method signatures and docstrings: - def test_success(self, api_version): Verify the endpoint redirects to the user detail endpoint - def test_last_loggedin_updated(self, api_version): Veri...

5809eaca7079a15ee56b0b7fcfea425337046c97

<|skeleton|> class TestUserInfoApi: """Tests for /api/mobile/{api_version}/my_user_info""" def test_success(self, api_version): """Verify the endpoint redirects to the user detail endpoint""" <|body_0|> def test_last_loggedin_updated(self, api_version): """Verify that a user's last...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestUserInfoApi: """Tests for /api/mobile/{api_version}/my_user_info""" def test_success(self, api_version): """Verify the endpoint redirects to the user detail endpoint""" self.login() response = self.api_response(expected_response_code=302, api_version=api_version) asser...

the_stack_v2_python_sparse

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/mobile_api/users/tests.py

luque/better-ways-of-thinking-about-software

train

3

bb1908e455736d5f2dc4491ee0dcf4c856a5191d

[ "self._attribute_groep_id: int = attribute_groep_id\n'\\n Het ID van deze attribuutgroep.\\n '\nself._aantal_voorwaarden_voor_true: int = aantal_voorwaarden_voor_true\n'\\n Het minimale aantal voorwaarden waaraan moet worden voldaan om deze attribuutgroep te laten vuren.\\n '\nself._kopp...

<|body_start_0|> self._attribute_groep_id: int = attribute_groep_id '\n Het ID van deze attribuutgroep.\n ' self._aantal_voorwaarden_voor_true: int = aantal_voorwaarden_voor_true '\n Het minimale aantal voorwaarden waaraan moet worden voldaan om deze attribuutgroep t...

Klasse voor attribuutgroep.

AttribuutGroep

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AttribuutGroep: """Klasse voor attribuutgroep.""" def __init__(self, attribute_groep_id: int, aantal_voorwaarden_voor_true: int, koppelingen: List[AttribuutGroepKoppeling]): """Object constructor. :param int attribute_groep_id: Het ID van deze attribuutgroep. :param int aantal_voorwa...

stack_v2_sparse_classes_36k_train_009143

2,059

permissive

[ { "docstring": "Object constructor. :param int attribute_groep_id: Het ID van deze attribuutgroep. :param int aantal_voorwaarden_voor_true: Het minimale aantal voorwaarden waaraan moet worden voldaan. :param list[kerapu.boom.attribuut_groep_koppeling.AttribuutGroepKoppeling.AttribuutGroepKoppeling] koppelingen:...

2

stack_v2_sparse_classes_30k_val_001192

Implement the Python class `AttribuutGroep` described below. Class description: Klasse voor attribuutgroep. Method signatures and docstrings: - def __init__(self, attribute_groep_id: int, aantal_voorwaarden_voor_true: int, koppelingen: List[AttribuutGroepKoppeling]): Object constructor. :param int attribute_groep_id:...

fdae5ce96e9c79bf0d325c488077436fa31ad03f

<|skeleton|> class AttribuutGroep: """Klasse voor attribuutgroep.""" def __init__(self, attribute_groep_id: int, aantal_voorwaarden_voor_true: int, koppelingen: List[AttribuutGroepKoppeling]): """Object constructor. :param int attribute_groep_id: Het ID van deze attribuutgroep. :param int aantal_voorwa...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AttribuutGroep: """Klasse voor attribuutgroep.""" def __init__(self, attribute_groep_id: int, aantal_voorwaarden_voor_true: int, koppelingen: List[AttribuutGroepKoppeling]): """Object constructor. :param int attribute_groep_id: Het ID van deze attribuutgroep. :param int aantal_voorwaarden_voor_tr...

the_stack_v2_python_sparse

kerapu/boom/AttribuutGroep.py

SetBased/py-kerapu

train

5

9566707095fed517fb2e60767227fc540e48e93d

[ "try:\n responseData = User.fetchAll()\n if len(responseData) > 0:\n response = jsonify(responseData)\n else:\n response = jsonify()\n return make_response(response, 200)\nexcept:\n handle400error(users_ns, 'Invalid username')\nreturn handle500error(users_ns)", "args = update_user_arg...

<|body_start_0|> try: responseData = User.fetchAll() if len(responseData) > 0: response = jsonify(responseData) else: response = jsonify() return make_response(response, 200) except: handle400error(users_ns, 'Inv...

UserCollection

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009144

8,609

no_license

[ { "docstring": "Gets all users", "name": "get", "signature": "def get(self, username)" }, { "docstring": "Updates data and password of a user", "name": "put", "signature": "def put(self, username)" }, { "docstring": "Deletes a user", "name": "delete", "signature": "def de...

3

stack_v2_sparse_classes_30k_train_013009

Implement the Python class `UserCollection` described below. Class description: Implement the UserCollection class. Method signatures and docstrings: - def get(self, username): Gets all users - def put(self, username): Updates data and password of a user - def delete(self, username): Deletes a user

Implement the Python class `UserCollection` described below. Class description: Implement the UserCollection class. Method signatures and docstrings: - def get(self, username): Gets all users - def put(self, username): Updates data and password of a user - def delete(self, username): Deletes a user <|skeleton|> clas...

72ba34ce64482da23020d84a41819b889dad51f1

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UserCollection: def get(self, username): """Gets all users""" try: responseData = User.fetchAll() if len(responseData) > 0: response = jsonify(responseData) else: response = jsonify() return make_response(response,...

the_stack_v2_python_sparse

WakeOnLan-server/flask/api/namespaces/users_ns.py

DarioGar/WakeOnLan

train

0

eefbc01f811186f60e68f1e5353594542ce281ab

[ "try:\n response = requests.get(url='http://tunnel-api.apeyun.com/q', params=ApeProxyManager.params, headers={'Content-Type': 'text/plain; charset=utf-8'})\n if response.status_code == 200:\n res = json.loads(response.text)\n if res['code'] == 200:\n data = res['data']\n cl...

<|body_start_0|> try: response = requests.get(url='http://tunnel-api.apeyun.com/q', params=ApeProxyManager.params, headers={'Content-Type': 'text/plain; charset=utf-8'}) if response.status_code == 200: res = json.loads(response.text) if res['code'] == 200:...

ApeProxyManager

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009145

5,542

no_license

[ { "docstring": "一次性获取多个代理 :return:", "name": "getProxiesDicts", "signature": "def getProxiesDicts(cls)" }, { "docstring": "获取一个代理 :return:", "name": "getProxy", "signature": "def getProxy(cls)" }, { "docstring": "将字典形式的代理转化为http://ip:port形式 :param proxy: :return:", "name": "p...

4

stack_v2_sparse_classes_30k_train_011762

Implement the Python class `ApeProxyManager` described below. Class description: Implement the ApeProxyManager class. Method signatures and docstrings: - def getProxiesDicts(cls): 一次性获取多个代理 :return: - def getProxy(cls): 获取一个代理 :return: - def proxyDict2String(cls, proxy): 将字典形式的代理转化为http://ip:port形式 :param proxy: :ret...

3898125fa65ca045e7c203a18e7a1129b9ce5988

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ApeProxyManager: def getProxiesDicts(cls): """一次性获取多个代理 :return:""" try: response = requests.get(url='http://tunnel-api.apeyun.com/q', params=ApeProxyManager.params, headers={'Content-Type': 'text/plain; charset=utf-8'}) if response.status_code == 200: r...

the_stack_v2_python_sparse

CnkiSpider/proxy.py

konwa/CnkiSpider

train

0

3130044e1e2f5f797c887c854d4b545ce5427899

[ "self.stats = stats\nself.vid_h = vid_h\nself.vid_w = vid_w", "root_area = np.sqrt(float(det['w']) * float(det['h']))\ndist = float(det['center_x'])\ndist = min(self.vid_w - float(det['center_x']), dist)\ndist = min(float(det['center_y']), dist)\ndist = min(self.vid_h - float(det['center_y']), dist)\nprob = float...

Functor for extracting init features from a detection.

InitFeatureExtractor

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class InitFeatureExtractor: """Functor for extracting init features from a detection.""" def __init__(self, stats, vid_h, vid_w): """Constructor. Inputs: stats -- Feature stats dict. vid_h -- Height of video. vid_w -- Width of video.""" <|body_0|> def __call__(self, det): ...

stack_v2_sparse_classes_36k_train_009146

1,205

permissive

[ { "docstring": "Constructor. Inputs: stats -- Feature stats dict. vid_h -- Height of video. vid_w -- Width of video.", "name": "__init__", "signature": "def __init__(self, stats, vid_h, vid_w)" }, { "docstring": "Extracts init features from a detection. Inputs: det -- Current detection.", "n...

2

stack_v2_sparse_classes_30k_train_021511

Implement the Python class `InitFeatureExtractor` described below. Class description: Functor for extracting init features from a detection. Method signatures and docstrings: - def __init__(self, stats, vid_h, vid_w): Constructor. Inputs: stats -- Feature stats dict. vid_h -- Height of video. vid_w -- Width of video....

fae655f396380dbe74413812a41b734e267faffe

<|skeleton|> class InitFeatureExtractor: """Functor for extracting init features from a detection.""" def __init__(self, stats, vid_h, vid_w): """Constructor. Inputs: stats -- Feature stats dict. vid_h -- Height of video. vid_w -- Width of video.""" <|body_0|> def __call__(self, det): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class InitFeatureExtractor: """Functor for extracting init features from a detection.""" def __init__(self, stats, vid_h, vid_w): """Constructor. Inputs: stats -- Feature stats dict. vid_h -- Height of video. vid_w -- Width of video.""" self.stats = stats self.vid_h = vid_h self...

the_stack_v2_python_sparse

train/siamese/extractors/init_feature_extractor.py

openem-team/openem

train

11

06c04b422eee36009c6b9c7c408104f89dca00b3

[ "changed = False\nif options.delay is not None and 0 <= options.delay != self.delay:\n self.delay = options.delay\n changed = True\nif options.bandwidth is not None and 0 <= options.bandwidth != self.bandwidth:\n self.bandwidth = options.bandwidth\n changed = True\nif options.loss is not None and 0 <= o...

<|body_start_0|> changed = False if options.delay is not None and 0 <= options.delay != self.delay: self.delay = options.delay changed = True if options.bandwidth is not None and 0 <= options.bandwidth != self.bandwidth: self.bandwidth = options.bandwidth ...

Options for creating and updating links within core.

LinkOptions

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LinkOptions: """Options for creating and updating links within core.""" def update(self, options: 'LinkOptions') -> bool: """Updates current options with values from other options. :param options: options to update with :return: True if any value has changed, False otherwise""" ...

stack_v2_sparse_classes_36k_train_009147

9,883

permissive

[ { "docstring": "Updates current options with values from other options. :param options: options to update with :return: True if any value has changed, False otherwise", "name": "update", "signature": "def update(self, options: 'LinkOptions') -> bool" }, { "docstring": "Checks if the current opti...

3

stack_v2_sparse_classes_30k_train_002248

Implement the Python class `LinkOptions` described below. Class description: Options for creating and updating links within core. Method signatures and docstrings: - def update(self, options: 'LinkOptions') -> bool: Updates current options with values from other options. :param options: options to update with :return...

20071eed2e73a2287aa385698dd604f4933ae7ff

<|skeleton|> class LinkOptions: """Options for creating and updating links within core.""" def update(self, options: 'LinkOptions') -> bool: """Updates current options with values from other options. :param options: options to update with :return: True if any value has changed, False otherwise""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LinkOptions: """Options for creating and updating links within core.""" def update(self, options: 'LinkOptions') -> bool: """Updates current options with values from other options. :param options: options to update with :return: True if any value has changed, False otherwise""" changed = ...

the_stack_v2_python_sparse

daemon/core/emulator/data.py

coreemu/core

train

606

8329331e3d92774f342a700b54c3c9d222a28f29

[ "self.set_func = set_func\nself.index = index\nsuper(Pixel, self).__init__(**kwargs)", "if key == 'color':\n self.set_func(self.index, value)\nsuper(Pixel, self).__setitem__(key, value)" ]

Pixel class to store information about a pixel

Pixel

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Pixel: """Pixel class to store information about a pixel""" def __init__(self, index, set_func, **kwargs): """Save set function and index :param index: int, pixel index in the strip :param set_func: function, handler function to set color""" <|body_0|> def __setitem__(se...

stack_v2_sparse_classes_36k_train_009148

716

no_license

[ { "docstring": "Save set function and index :param index: int, pixel index in the strip :param set_func: function, handler function to set color", "name": "__init__", "signature": "def __init__(self, index, set_func, **kwargs)" }, { "docstring": "Override set item to call set function first", ...

2

stack_v2_sparse_classes_30k_train_004909

Implement the Python class `Pixel` described below. Class description: Pixel class to store information about a pixel Method signatures and docstrings: - def __init__(self, index, set_func, **kwargs): Save set function and index :param index: int, pixel index in the strip :param set_func: function, handler function t...

809aef0d46966e2cd761673d4556912a23f3a2a3

<|skeleton|> class Pixel: """Pixel class to store information about a pixel""" def __init__(self, index, set_func, **kwargs): """Save set function and index :param index: int, pixel index in the strip :param set_func: function, handler function to set color""" <|body_0|> def __setitem__(se...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Pixel: """Pixel class to store information about a pixel""" def __init__(self, index, set_func, **kwargs): """Save set function and index :param index: int, pixel index in the strip :param set_func: function, handler function to set color""" self.set_func = set_func self.index = i...

the_stack_v2_python_sparse

src/utils/pixels.py

stacywebb/ledypi

train

0

eefa0595bf53ce622f056160afc825d54eb74298

[ "assert next is Node.empty or isinstance(next, Node)\nself.item = item\nself.next = next", "if self.next:\n next_str = ', ' + repr(self.next)\nelse:\n next_str = ''\nreturn 'StackNode({0}{1})'.format(self.item, next_str)" ]

<|body_start_0|> assert next is Node.empty or isinstance(next, Node) self.item = item self.next = next <|end_body_0|> <|body_start_1|> if self.next: next_str = ', ' + repr(self.next) else: next_str = '' return 'StackNode({0}{1})'.format(self.item,...

Node

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009149

1,916

no_license

[ { "docstring": "init a node", "name": "__init__", "signature": "def __init__(self, item, next=empty)" }, { "docstring": "它实现Node类的repr()函数", "name": "__repr__", "signature": "def __repr__(self)" } ]

2

null

Implement the Python class `Node` described below. Class description: Implement the Node class. Method signatures and docstrings: - def __init__(self, item, next=empty): init a node - def __repr__(self): 它实现Node类的repr()函数

Implement the Python class `Node` described below. Class description: Implement the Node class. Method signatures and docstrings: - def __init__(self, item, next=empty): init a node - def __repr__(self): 它实现Node类的repr()函数 <|skeleton|> class Node: def __init__(self, item, next=empty): """init a node""" ...

c431569ae08fb77c67e948f5ded75c306af20ba2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Node: def __init__(self, item, next=empty): """init a node""" assert next is Node.empty or isinstance(next, Node) self.item = item self.next = next def __repr__(self): """它实现Node类的repr()函数""" if self.next: next_str = ', ' + repr(self.next) ...

the_stack_v2_python_sparse

algo-lib/1_basic/Python/dep/Queue-LinkedList.py

itrowa/arsenal

train

0

cc65871d127c4b6724dff20c675b187c81eb99c4

[ "self.canvas = canvas\nself.fileName = fileName\nself.name = name\nself.suffix = suffix\nmenu.add_command(label=settings.getEachWordCapitalized(self.name), command=self.display)", "for repositoryDialog in settings.globalRepositoryDialogListTable:\n if repositoryDialog.repository.lowerName == self.name:\n ...

A class to display the export canvas repository dialog.

ExportCanvasDialog

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ExportCanvasDialog: """A class to display the export canvas repository dialog.""" def addPluginToMenu(self, canvas, fileName, menu, name, suffix): """Add the display command to the menu.""" <|body_0|> def display(self): """Display the export canvas repository dia...

stack_v2_sparse_classes_36k_train_009150

33,354

no_license

[ { "docstring": "Add the display command to the menu.", "name": "addPluginToMenu", "signature": "def addPluginToMenu(self, canvas, fileName, menu, name, suffix)" }, { "docstring": "Display the export canvas repository dialog.", "name": "display", "signature": "def display(self)" } ]

2

stack_v2_sparse_classes_30k_train_001526

Implement the Python class `ExportCanvasDialog` described below. Class description: A class to display the export canvas repository dialog. Method signatures and docstrings: - def addPluginToMenu(self, canvas, fileName, menu, name, suffix): Add the display command to the menu. - def display(self): Display the export ...

fd69d8e856780c826386dc973ceabcc03623f3e8

<|skeleton|> class ExportCanvasDialog: """A class to display the export canvas repository dialog.""" def addPluginToMenu(self, canvas, fileName, menu, name, suffix): """Add the display command to the menu.""" <|body_0|> def display(self): """Display the export canvas repository dia...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ExportCanvasDialog: """A class to display the export canvas repository dialog.""" def addPluginToMenu(self, canvas, fileName, menu, name, suffix): """Add the display command to the menu.""" self.canvas = canvas self.fileName = fileName self.name = name self.suffix ...

the_stack_v2_python_sparse

skeinforge_tools/analyze_plugins/analyze_utilities/tableau.py

bmander/skeinforge

train

34

6de2e8347b779445e6508c4618fd87e2338d33b4

[ "@lru_cache(None)\ndef pmin(i, j):\n if i == j:\n return 0\n return min(pmax(i + 1, j), pmax(i, j - 1))\n\n@lru_cache(None)\ndef pmax(i, j):\n if i == j:\n return piles[i]\n return max(piles[i] + pmin(i + 1, j), pmin(i, j - 1) + piles[j])\np1 = pmax(0, len(piles) - 1)\np2 = sum(piles) - p1...

<|body_start_0|> @lru_cache(None) def pmin(i, j): if i == j: return 0 return min(pmax(i + 1, j), pmax(i, j - 1)) @lru_cache(None) def pmax(i, j): if i == j: return piles[i] return max(piles[i] + pmin(i + 1, ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009151

4,363

no_license

[ { "docstring": ":type piles: List[int] :rtype: bool", "name": "stoneGame_solution_1_minimax", "signature": "def stoneGame_solution_1_minimax(self, piles: List[int]) -> bool" }, { "docstring": ":type piles: List[int] :rtype: bool", "name": "stoneGame_solution_2_minimax_DP_2D", "signature"...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def stoneGame_solution_1_minimax(self, piles: List[int]) -> bool: :type piles: List[int] :rtype: bool - def stoneGame_solution_2_minimax_DP_2D(self, piles: List[int]) -> bool: :t...

f2621cd76822a922c49b60f32931f26cce1c571d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def stoneGame_solution_1_minimax(self, piles: List[int]) -> bool: """:type piles: List[int] :rtype: bool""" @lru_cache(None) def pmin(i, j): if i == j: return 0 return min(pmax(i + 1, j), pmax(i, j - 1)) @lru_cache(None) ...

the_stack_v2_python_sparse

Dynamic_Programming/023_leetcode_P_877_StoneGame/Solution.py

Keshav1506/competitive_programming

train

0

00ad2569c7c6229910c2c772c714b517c0a9ad0a

[ "self.train_number = self.request.rel_url.query.get('train', None)\nif self.train_number:\n return web.HTTPMovedPermanently('/%s/train/%s' % (self.request.language, self.train_number))\nself.train_number = self.request.match_info.get('train')\nreturn await super(TrainView, self).get()", "try:\n context = cf...

<|body_start_0|> self.train_number = self.request.rel_url.query.get('train', None) if self.train_number: return web.HTTPMovedPermanently('/%s/train/%s' % (self.request.language, self.train_number)) self.train_number = self.request.match_info.get('train') return await super(Tr...

Page that displays details about a specific train.

TrainView

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TrainView: """Page that displays details about a specific train.""" async def get(self): """Reply to HTTP GET request.""" <|body_0|> def context(self) -> dict: """Gets the context to render the template with. Returns: The context to pass to the template.""" ...

stack_v2_sparse_classes_36k_train_009152

1,595

no_license

[ { "docstring": "Reply to HTTP GET request.", "name": "get", "signature": "async def get(self)" }, { "docstring": "Gets the context to render the template with. Returns: The context to pass to the template.", "name": "context", "signature": "def context(self) -> dict" } ]

2

stack_v2_sparse_classes_30k_train_016744

Implement the Python class `TrainView` described below. Class description: Page that displays details about a specific train. Method signatures and docstrings: - async def get(self): Reply to HTTP GET request. - def context(self) -> dict: Gets the context to render the template with. Returns: The context to pass to t...

fc182e2f8bb45682361ac16befd2710f3492e65f

<|skeleton|> class TrainView: """Page that displays details about a specific train.""" async def get(self): """Reply to HTTP GET request.""" <|body_0|> def context(self) -> dict: """Gets the context to render the template with. Returns: The context to pass to the template.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TrainView: """Page that displays details about a specific train.""" async def get(self): """Reply to HTTP GET request.""" self.train_number = self.request.rel_url.query.get('train', None) if self.train_number: return web.HTTPMovedPermanently('/%s/train/%s' % (self.requ...

the_stack_v2_python_sparse

cfrweb/views/train.py

Photonios/cfr.ninja

train

4

e8fd9ec03c1af09e4f3962be591d0dbc2d5aa965

[ "self.driver = driver\nself.searchIn = searchIn\nself.SearchConfig = {'GoogleSearch': {'URL': 'https://www.google.com/', 'SearchBox_xPath': '/html/body/div/div[3]/form/div[2]/div/div[1]/div/div[1]/input', 'OpenInNewLink': 'pnnext'}, 'GoogleNewsSearch': {'URL': 'https://news.google.com/?hl=en-IN&gl=IN&ceid=IN:en', '...

<|body_start_0|> self.driver = driver self.searchIn = searchIn self.SearchConfig = {'GoogleSearch': {'URL': 'https://www.google.com/', 'SearchBox_xPath': '/html/body/div/div[3]/form/div[2]/div/div[1]/div/div[1]/input', 'OpenInNewLink': 'pnnext'}, 'GoogleNewsSearch': {'URL': 'https://news.google....

search

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class search: def __init__(self, driver, searchIn='GoogleSearch'): """Search In Options: 'GoogleSearch', 'GoogleNewsSearch', 'GoogleScholarSearch', 'GoogleImageSearch'""" <|body_0|> def genEleMsg(self, elem=None): """to Generate Respeccted Msg when a element is loaded""" ...

stack_v2_sparse_classes_36k_train_009153

6,562

no_license

[ { "docstring": "Search In Options: 'GoogleSearch', 'GoogleNewsSearch', 'GoogleScholarSearch', 'GoogleImageSearch'", "name": "__init__", "signature": "def __init__(self, driver, searchIn='GoogleSearch')" }, { "docstring": "to Generate Respeccted Msg when a element is loaded", "name": "genEleM...

4

stack_v2_sparse_classes_30k_train_000203

Implement the Python class `search` described below. Class description: Implement the search class. Method signatures and docstrings: - def __init__(self, driver, searchIn='GoogleSearch'): Search In Options: 'GoogleSearch', 'GoogleNewsSearch', 'GoogleScholarSearch', 'GoogleImageSearch' - def genEleMsg(self, elem=None...

61b561d95113c9844119baeed25716b2565c99c4

<|skeleton|> class search: def __init__(self, driver, searchIn='GoogleSearch'): """Search In Options: 'GoogleSearch', 'GoogleNewsSearch', 'GoogleScholarSearch', 'GoogleImageSearch'""" <|body_0|> def genEleMsg(self, elem=None): """to Generate Respeccted Msg when a element is loaded""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class search: def __init__(self, driver, searchIn='GoogleSearch'): """Search In Options: 'GoogleSearch', 'GoogleNewsSearch', 'GoogleScholarSearch', 'GoogleImageSearch'""" self.driver = driver self.searchIn = searchIn self.SearchConfig = {'GoogleSearch': {'URL': 'https://www.google.co...

the_stack_v2_python_sparse

bin/Sel2_InitiateSearch.py

gagangm/NewsGatheringAndSentimentAnalysis

train

0

2dc5136a3b3f296b3bbeb27f1e7060f2cc6ff730

[ "adapter = os.environ.get('CN_SECRET_ADAPTER', 'vault')\nif adapter == 'vault':\n return VaultSecret()\nif adapter == 'kubernetes':\n return KubernetesSecret()\nif adapter == 'google':\n return GoogleSecret()\nif adapter == 'aws':\n return AwsSecret()\nraise ValueError(f'Unsupported secret adapter {adap...

<|body_start_0|> adapter = os.environ.get('CN_SECRET_ADAPTER', 'vault') if adapter == 'vault': return VaultSecret() if adapter == 'kubernetes': return KubernetesSecret() if adapter == 'google': return GoogleSecret() if adapter == 'aws': ...

This class manage secrets and act as a proxy to specific secret adapter class.

SecretManager

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SecretManager: """This class manage secrets and act as a proxy to specific secret adapter class.""" def adapter(self) -> SecretAdapter: """Get an instance of secret adapter class. Returns: An instance of secret adapter class. Raises: ValueError: If the value of `CN_SECRET_ADAPTER` en...

stack_v2_sparse_classes_36k_train_009154

11,331

permissive

[ { "docstring": "Get an instance of secret adapter class. Returns: An instance of secret adapter class. Raises: ValueError: If the value of `CN_SECRET_ADAPTER` environment variable is not supported. Examples: ```py os.environ[\"CN_SECRET_ADAPTER\"] = \"vault\" SecretManager().adapter # returns an instance of ada...

3

null

Implement the Python class `SecretManager` described below. Class description: This class manage secrets and act as a proxy to specific secret adapter class. Method signatures and docstrings: - def adapter(self) -> SecretAdapter: Get an instance of secret adapter class. Returns: An instance of secret adapter class. R...

66c4ef766a62788437cce88974357a9a2b20de21

<|skeleton|> class SecretManager: """This class manage secrets and act as a proxy to specific secret adapter class.""" def adapter(self) -> SecretAdapter: """Get an instance of secret adapter class. Returns: An instance of secret adapter class. Raises: ValueError: If the value of `CN_SECRET_ADAPTER` en...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SecretManager: """This class manage secrets and act as a proxy to specific secret adapter class.""" def adapter(self) -> SecretAdapter: """Get an instance of secret adapter class. Returns: An instance of secret adapter class. Raises: ValueError: If the value of `CN_SECRET_ADAPTER` environment var...

the_stack_v2_python_sparse

jans-pycloudlib/jans/pycloudlib/manager.py

JanssenProject/jans

train

400

df9419e46b70d5cddc679791a31024bf39c4fb01

[ "if self.call_args is None:\n expected = self._format_mock_call_signature(args, kwargs)\n raise AssertionError('Expected call: %s\\nNot called' % (expected,))\n\ndef _error_message(cause):\n msg = self._format_mock_failure_message(args, kwargs)\n if six.PY2 and cause is not None:\n msg = '%s\\n%s...

<|body_start_0|> if self.call_args is None: expected = self._format_mock_call_signature(args, kwargs) raise AssertionError('Expected call: %s\nNot called' % (expected,)) def _error_message(cause): msg = self._format_mock_failure_message(args, kwargs) if s...

AlteredMagicMock

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AlteredMagicMock: def assert_called_with(self, *args, **kwargs): """Assert that the mock was called with the specified arguments. Raises an AssertionError if the args and keyword args passed in are different to the last call to the mock.""" <|body_0|> def assert_any_call(sel...

stack_v2_sparse_classes_36k_train_009155

22,331

no_license

[ { "docstring": "Assert that the mock was called with the specified arguments. Raises an AssertionError if the args and keyword args passed in are different to the last call to the mock.", "name": "assert_called_with", "signature": "def assert_called_with(self, *args, **kwargs)" }, { "docstring":...

3

null

Implement the Python class `AlteredMagicMock` described below. Class description: Implement the AlteredMagicMock class. Method signatures and docstrings: - def assert_called_with(self, *args, **kwargs): Assert that the mock was called with the specified arguments. Raises an AssertionError if the args and keyword args...

092a354315b9b2c08e32cdc049791d82dfd47745

<|skeleton|> class AlteredMagicMock: def assert_called_with(self, *args, **kwargs): """Assert that the mock was called with the specified arguments. Raises an AssertionError if the args and keyword args passed in are different to the last call to the mock.""" <|body_0|> def assert_any_call(sel...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AlteredMagicMock: def assert_called_with(self, *args, **kwargs): """Assert that the mock was called with the specified arguments. Raises an AssertionError if the args and keyword args passed in are different to the last call to the mock.""" if self.call_args is None: expected = sel...

the_stack_v2_python_sparse

robot_skills/src/robot_skills/mockbot.py

tue-robotics/tue_robocup

train

39

2874baaa24f1c2cdafe8577cd7b68d50be0329b1

[ "t = tabulate(lambda x: x)\nf = tuple([next(t) for _ in range(3)])\neq_(f, (0, 1, 2))", "t = tabulate(lambda x: 2 * x, -1)\nf = (next(t), next(t), next(t))\neq_(f, (-2, 0, 2))" ]

Tests for ``tabulate()``

TabulateTests

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009156

47,145

no_license

[ { "docstring": "Test the happy path", "name": "test_simple_tabulate", "signature": "def test_simple_tabulate(self)" }, { "docstring": "Ensure tabulate accepts specific count", "name": "test_count", "signature": "def test_count(self)" } ]

2

null

Implement the Python class `TabulateTests` described below. Class description: Tests for ``tabulate()`` Method signatures and docstrings: - def test_simple_tabulate(self): Test the happy path - def test_count(self): Ensure tabulate accepts specific count

Implement the Python class `TabulateTests` described below. Class description: Tests for ``tabulate()`` Method signatures and docstrings: - def test_simple_tabulate(self): Test the happy path - def test_count(self): Ensure tabulate accepts specific count <|skeleton|> class TabulateTests: """Tests for ``tabulate(...

0ac6653219c2701c13c508c5c4fc9bc3437eea06

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TabulateTests: """Tests for ``tabulate()``""" def test_simple_tabulate(self): """Test the happy path""" t = tabulate(lambda x: x) f = tuple([next(t) for _ in range(3)]) eq_(f, (0, 1, 2)) def test_count(self): """Ensure tabulate accepts specific count""" ...

the_stack_v2_python_sparse

repoData/erikrose-more-itertools/allPythonContent.py

aCoffeeYin/pyreco

train

0

00a759b38e7eee3d6d5df66ac84c6db793a32d03

[ "if request.method != 'POST':\n return True\nif request.user.is_government:\n return request.user.has_perm('SIGN_SALES') or request.user.has_perm('RECOMMEND_SALES') or request.user.has_perm('DECLINE_SALES') or request.user.has_perm('VALIDATE_SALES')\nreturn request.user.has_perm('CREATE_SALES') or request.use...

<|body_start_0|> if request.method != 'POST': return True if request.user.is_government: return request.user.has_perm('SIGN_SALES') or request.user.has_perm('RECOMMEND_SALES') or request.user.has_perm('DECLINE_SALES') or request.user.has_perm('VALIDATE_SALES') return requ...

Used by Viewset to check permissions for API requests

CreditRequestPermissions

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CreditRequestPermissions: """Used by Viewset to check permissions for API requests""" def has_permission(self, request, view): """Check permissions When an object does not yet exist (POST)""" <|body_0|> def has_object_permission(self, request, view, obj): """Chec...

stack_v2_sparse_classes_36k_train_009157

1,730

permissive

[ { "docstring": "Check permissions When an object does not yet exist (POST)", "name": "has_permission", "signature": "def has_permission(self, request, view)" }, { "docstring": "Check permissions When an object does exist (PUT, GET)", "name": "has_object_permission", "signature": "def has...

2

null

Implement the Python class `CreditRequestPermissions` described below. Class description: Used by Viewset to check permissions for API requests Method signatures and docstrings: - def has_permission(self, request, view): Check permissions When an object does not yet exist (POST) - def has_object_permission(self, requ...

b395efe620a1b82c2ecee2004cca358d8407397e

<|skeleton|> class CreditRequestPermissions: """Used by Viewset to check permissions for API requests""" def has_permission(self, request, view): """Check permissions When an object does not yet exist (POST)""" <|body_0|> def has_object_permission(self, request, view, obj): """Chec...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CreditRequestPermissions: """Used by Viewset to check permissions for API requests""" def has_permission(self, request, view): """Check permissions When an object does not yet exist (POST)""" if request.method != 'POST': return True if request.user.is_government: ...

the_stack_v2_python_sparse

backend/api/permissions/credit_request.py

emi-hi/zeva

train

0

27cb6ab4cfafb605725380bbd8cb76b0ea921ff8

[ "self.name = name\nself.propIdx = propIdx\nself.minValue = minValue\nself.maxValue = maxValue\nself.offset = scaffoldoffset", "product = self.offset\npropIdx = self.propIdx\nfor s in sidechains:\n product += s.props[propIdx]\nreturn self.minValue <= product <= self.maxValue" ]

Property

[ "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Property: def __init__(self, name, propIdx, minValue, maxValue, scaffoldoffset=0.0): """name, propIdx, minValue, maxValue, scaffoldoffset -> initial a Property name is the name of the property. propIdx: the index of the property in the property vector minValue: the minimum acceptable val...

stack_v2_sparse_classes_36k_train_009158

17,205

permissive

[ { "docstring": "name, propIdx, minValue, maxValue, scaffoldoffset -> initial a Property name is the name of the property. propIdx: the index of the property in the property vector minValue: the minimum acceptable value for the property maxValue: the maximum acceptable value for the property scaffoldoffset: any ...

2

null

Implement the Python class `Property` described below. Class description: Implement the Property class. Method signatures and docstrings: - def __init__(self, name, propIdx, minValue, maxValue, scaffoldoffset=0.0): name, propIdx, minValue, maxValue, scaffoldoffset -> initial a Property name is the name of the propert...

650141ece7b68f054ed14813e1585436ad57d3df

<|skeleton|> class Property: def __init__(self, name, propIdx, minValue, maxValue, scaffoldoffset=0.0): """name, propIdx, minValue, maxValue, scaffoldoffset -> initial a Property name is the name of the property. propIdx: the index of the property in the property vector minValue: the minimum acceptable val...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Property: def __init__(self, name, propIdx, minValue, maxValue, scaffoldoffset=0.0): """name, propIdx, minValue, maxValue, scaffoldoffset -> initial a Property name is the name of the property. propIdx: the index of the property in the property vector minValue: the minimum acceptable value for the pro...

the_stack_v2_python_sparse

Contrib/Glare/glare.py

biolearning-stadius/rdkit

train

6

7cf88e1645d8accf7097a420974ba659944b7549

[ "self.g = g\nself.user_type = user_type\nself.item_type = item_type\nself.user_to_item_etype = list(g.metagraph()[user_type][item_type])[0]\nself.item_to_user_etype = list(g.metagraph()[item_type][user_type])[0]\nself.batch_size = batch_size", "while True:\n heads = torch.randint(0, self.g.number_of_nodes(self...

<|body_start_0|> self.g = g self.user_type = user_type self.item_type = item_type self.user_to_item_etype = list(g.metagraph()[user_type][item_type])[0] self.item_to_user_etype = list(g.metagraph()[item_type][user_type])[0] self.batch_size = batch_size <|end_body_0|> <|b...

Item to Item Batch Sampler class.

ItemToItemBatchSampler

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ItemToItemBatchSampler: """Item to Item Batch Sampler class.""" def __init__(self, g, user_type, item_type, batch_size): """Constructor for ItemToItemBatchSampler class. Args: g (dgl.DGLGraph): graph of training dataset user_type (str): user node name item_type (str): item node name ...

stack_v2_sparse_classes_36k_train_009159

12,447

no_license

[ { "docstring": "Constructor for ItemToItemBatchSampler class. Args: g (dgl.DGLGraph): graph of training dataset user_type (str): user node name item_type (str): item node name batch_size (int): batch size", "name": "__init__", "signature": "def __init__(self, g, user_type, item_type, batch_size)" }, ...

2

stack_v2_sparse_classes_30k_train_020410

Implement the Python class `ItemToItemBatchSampler` described below. Class description: Item to Item Batch Sampler class. Method signatures and docstrings: - def __init__(self, g, user_type, item_type, batch_size): Constructor for ItemToItemBatchSampler class. Args: g (dgl.DGLGraph): graph of training dataset user_ty...

f1c385e46d2d5475b28dec91b57a933ac81c23c5

<|skeleton|> class ItemToItemBatchSampler: """Item to Item Batch Sampler class.""" def __init__(self, g, user_type, item_type, batch_size): """Constructor for ItemToItemBatchSampler class. Args: g (dgl.DGLGraph): graph of training dataset user_type (str): user node name item_type (str): item node name ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ItemToItemBatchSampler: """Item to Item Batch Sampler class.""" def __init__(self, g, user_type, item_type, batch_size): """Constructor for ItemToItemBatchSampler class. Args: g (dgl.DGLGraph): graph of training dataset user_type (str): user node name item_type (str): item node name batch_size (i...

the_stack_v2_python_sparse

projects/project_19/src/pinsage/sampler.py

amuamushu/projects-2020-2021

train

0

40edf3ebd7bec0481aec670733635b4ac996d706

[ "n = len(A)\ni = 0\nwhile i + 1 < n and A[i] < A[i + 1]:\n i += 1\nreturn i", "n = len(A)\nleft, right = (1, n - 2)\nwhile left <= right:\n mid = left + (right - left) // 2\n if A[mid - 1] < A[mid] > A[mid + 1]:\n return mid\n elif A[mid] < A[mid + 1]:\n left = mid + 1\n elif A[mid - ...

Solution

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009160

788

permissive

[ { "docstring": "Time complexity = O(n)", "name": "xpeakIndexInMountainArray", "signature": "def xpeakIndexInMountainArray(self, A: List[int]) -> int" }, { "docstring": "Time complexity = O(log n) Your runtime beats 98.91 % of python3 submissions.", "name": "peakIndexInMountainArray", "si...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def xpeakIndexInMountainArray(self, A: List[int]) -> int: Time complexity = O(n) - def peakIndexInMountainArray(self, A: List[int]) -> int: Time complexity = O(log n) Your runtim...

9d7759bea1f44673c2de4f25a94b27368928a59f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def xpeakIndexInMountainArray(self, A: List[int]) -> int: """Time complexity = O(n)""" n = len(A) i = 0 while i + 1 < n and A[i] < A[i + 1]: i += 1 return i def peakIndexInMountainArray(self, A: List[int]) -> int: """Time complexity = ...

the_stack_v2_python_sparse

leetcode/google/tagged/peak_index_in_mountain_array.py

pagsamo/google-tech-dev-guide

train

0

7d81971b3cc33cf292b8f01c9cb50b434ffe2a20

[ "def backtrack(pos: int, target: int) -> List[List[int]]:\n if target == 0:\n return [[]]\n if pos >= len(nums) or nums[pos] > target:\n return []\n return [[nums[pos]] + sub_sol for sub_sol in backtrack(pos, target - nums[pos])] + backtrack(pos + 1, target)\nnums.sort()\nreturn backtrack(0, ...

<|body_start_0|> def backtrack(pos: int, target: int) -> List[List[int]]: if target == 0: return [[]] if pos >= len(nums) or nums[pos] > target: return [] return [[nums[pos]] + sub_sol for sub_sol in backtrack(pos, target - nums[pos])] + backtr...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def combinationSum_1(self, nums: List[int], target: int) -> List[List[int]]: """If we select the number at 'i', then we have another sub-problem to solve at 'i+1' with 'target-nums[i]'. If we sort the numbers, we can cut the exploration when nums[i] > target. There might be ove...

stack_v2_sparse_classes_36k_train_009161

2,540

no_license

[ { "docstring": "If we select the number at 'i', then we have another sub-problem to solve at 'i+1' with 'target-nums[i]'. If we sort the numbers, we can cut the exploration when nums[i] > target. There might be overlapping problems (select 2 then 3, or select 5), but it might not be worth memoizing them because...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def combinationSum_1(self, nums: List[int], target: int) -> List[List[int]]: If we select the number at 'i', then we have another sub-problem to solve at 'i+1' with 'target-nums[...

3ffcfee5cedf421d5de6d0dec4ba53b0eecbbff8

<|skeleton|> class Solution: def combinationSum_1(self, nums: List[int], target: int) -> List[List[int]]: """If we select the number at 'i', then we have another sub-problem to solve at 'i+1' with 'target-nums[i]'. If we sort the numbers, we can cut the exploration when nums[i] > target. There might be ove...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def combinationSum_1(self, nums: List[int], target: int) -> List[List[int]]: """If we select the number at 'i', then we have another sub-problem to solve at 'i+1' with 'target-nums[i]'. If we sort the numbers, we can cut the exploration when nums[i] > target. There might be overlapping probl...

the_stack_v2_python_sparse

backtrack/CombinationSum.py

QuentinDuval/PythonExperiments

train

3

35db5a3db506d34cba4fb78ae0fd15ce29c7f519

[ "if self.app.pargs.download is None:\n download_type = []\nelse:\n download_type = self.app.pargs.download.split(',')\n download_type = list(filter(lambda x: x in all_download_type, download_type))\nreturn download_type", "help = None\nfun = getattr(self, func_name, None)\nif fun and getattr(fun, '__ceme...

<|body_start_0|> if self.app.pargs.download is None: download_type = [] else: download_type = self.app.pargs.download.split(',') download_type = list(filter(lambda x: x in all_download_type, download_type)) return download_type <|end_body_0|> <|body_start_1|>...

NXSpiderBaseController

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NXSpiderBaseController: def parse_download(self): """lost of spider function will parse -dw param, this will do it :return:""" <|body_0|> def param_check(self, params, func_name): """this will check param inputted and require is complete or not, and print help help w...

stack_v2_sparse_classes_36k_train_009162

1,707

permissive

[ { "docstring": "lost of spider function will parse -dw param, this will do it :return:", "name": "parse_download", "signature": "def parse_download(self)" }, { "docstring": "this will check param inputted and require is complete or not, and print help help will be in expose(help='...'), and got ...

2

stack_v2_sparse_classes_30k_train_007285

Implement the Python class `NXSpiderBaseController` described below. Class description: Implement the NXSpiderBaseController class. Method signatures and docstrings: - def parse_download(self): lost of spider function will parse -dw param, this will do it :return: - def param_check(self, params, func_name): this will...

68e588c0612d0ab2af3a820ff88ca24d698ceeb7

<|skeleton|> class NXSpiderBaseController: def parse_download(self): """lost of spider function will parse -dw param, this will do it :return:""" <|body_0|> def param_check(self, params, func_name): """this will check param inputted and require is complete or not, and print help help w...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NXSpiderBaseController: def parse_download(self): """lost of spider function will parse -dw param, this will do it :return:""" if self.app.pargs.download is None: download_type = [] else: download_type = self.app.pargs.download.split(',') download_ty...

the_stack_v2_python_sparse

NXSpider/bin/base_ctrl.py

Z-Shuming/NXSpider

train

0

39a350c094dc6dfa2cc94d925aedccaa2cea19e7

[ "quadrado = Quadrado()\nquadrado.lado = 4\nself.assertEquals(4, quadrado.RetornaLado())", "quadrado = Quadrado()\nquadrado.lado = 3\nself.assertEquals(9, quadrado.CalcularArea())" ]

MyQuadradoTest

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MyQuadradoTest: def testRetornaLado(self): """Função que testa o método 'Retorna Lado' da classe Quadrado :return: sem retornos.""" <|body_0|> def testeCalcularArea(self): """Função que testa o método 'CalculaArea' da classe Quadrado :return: sem retornos.""" ...

stack_v2_sparse_classes_36k_train_009163

784

no_license

[ { "docstring": "Função que testa o método 'Retorna Lado' da classe Quadrado :return: sem retornos.", "name": "testRetornaLado", "signature": "def testRetornaLado(self)" }, { "docstring": "Função que testa o método 'CalculaArea' da classe Quadrado :return: sem retornos.", "name": "testeCalcul...

2

stack_v2_sparse_classes_30k_train_019546

Implement the Python class `MyQuadradoTest` described below. Class description: Implement the MyQuadradoTest class. Method signatures and docstrings: - def testRetornaLado(self): Função que testa o método 'Retorna Lado' da classe Quadrado :return: sem retornos. - def testeCalcularArea(self): Função que testa o método...

0ebcb2da872fcd5c101826455710634a3e6e69cb

<|skeleton|> class MyQuadradoTest: def testRetornaLado(self): """Função que testa o método 'Retorna Lado' da classe Quadrado :return: sem retornos.""" <|body_0|> def testeCalcularArea(self): """Função que testa o método 'CalculaArea' da classe Quadrado :return: sem retornos.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MyQuadradoTest: def testRetornaLado(self): """Função que testa o método 'Retorna Lado' da classe Quadrado :return: sem retornos.""" quadrado = Quadrado() quadrado.lado = 4 self.assertEquals(4, quadrado.RetornaLado()) def testeCalcularArea(self): """Função que testa...

the_stack_v2_python_sparse

Projeto_Testes/First_TDD_File.py

gnfandrade/Projetos_Python

train

0

1968a46a67377fed112b685c22fb731f81742e33

[ "base_url = 'https://github.com/IATI/IATI-Guidance/commits/main/en/'\nfile_path = '/'.join(self.ssot_path.split('/')[1:]) + '.rst'\nreturn base_url + file_path", "related = []\nsoup = BeautifulSoup(self.data, 'html.parser')\nanchors = soup.findAll('a')\nfor anchor in anchors:\n anchor_href = anchor['href']\n ...

A model for the Standard Guidance Page, an IATI reference page.

StandardGuidancePage

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009164

14,810

permissive

[ { "docstring": "Calculate a Github changelog url.", "name": "github_url", "signature": "def github_url(self)" }, { "docstring": "Extract related_guidance.", "name": "related_guidance", "signature": "def related_guidance(self)" } ]

2

stack_v2_sparse_classes_30k_train_006941

Implement the Python class `StandardGuidancePage` described below. Class description: A model for the Standard Guidance Page, an IATI reference page. Method signatures and docstrings: - def github_url(self): Calculate a Github changelog url. - def related_guidance(self): Extract related_guidance.

Implement the Python class `StandardGuidancePage` described below. Class description: A model for the Standard Guidance Page, an IATI reference page. Method signatures and docstrings: - def github_url(self): Calculate a Github changelog url. - def related_guidance(self): Extract related_guidance. <|skeleton|> class ...

4cf7be72b6b3d0c46dcadcc9d9904b471215ea81

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StandardGuidancePage: """A model for the Standard Guidance Page, an IATI reference page.""" def github_url(self): """Calculate a Github changelog url.""" base_url = 'https://github.com/IATI/IATI-Guidance/commits/main/en/' file_path = '/'.join(self.ssot_path.split('/')[1:]) + '.rst...

the_stack_v2_python_sparse

iati_standard/models.py

IATI/IATI-Standard-Website

train

4

bdeeae3d262cf069d26a89adb49b3094b82d7944

[ "http_auth = request.META['HTTP_AUTHORIZATION']\nparts = http_auth.split(' ')\nif parts[0] != 'token':\n return None\nif len(parts) != 2:\n logger.warning('WebAPITokenAuthBackend: Missing token in HTTP_AUTHORIZATION header %s', http_auth, extra={'request': request})\n return None\nreturn {'token': parts[1]...

<|body_start_0|> http_auth = request.META['HTTP_AUTHORIZATION'] parts = http_auth.split(' ') if parts[0] != 'token': return None if len(parts) != 2: logger.warning('WebAPITokenAuthBackend: Missing token in HTTP_AUTHORIZATION header %s', http_auth, extra={'request'...

Authenticates users using their generated API token. This will check the ``HTTP_AUTHORIZATION`` header for a ``token <token>`` value. If found, it will attempt to find the user that owns the token, and authenticate that user.

WebAPITokenAuthBackend

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class WebAPITokenAuthBackend: """Authenticates users using their generated API token. This will check the ``HTTP_AUTHORIZATION`` header for a ``token <token>`` value. If found, it will attempt to find the user that owns the token, and authenticate that user.""" def get_credentials(self, request: H...

stack_v2_sparse_classes_36k_train_009165

12,956

no_license

[ { "docstring": "Return credentials for the token. If the request is attempting to authenticate with a token, this will return a dictionary containing the token in a ``token`` key. Args: request (HttpRequest): The HTTP request from the client. Returns: dict: A dictionary containing the token in a ``token`` key, ...

3

stack_v2_sparse_classes_30k_val_000840

Implement the Python class `WebAPITokenAuthBackend` described below. Class description: Authenticates users using their generated API token. This will check the ``HTTP_AUTHORIZATION`` header for a ``token <token>`` value. If found, it will attempt to find the user that owns the token, and authenticate that user. Meth...

99ea69d80a3a393b0da4da3152ef26e808dd8487

<|skeleton|> class WebAPITokenAuthBackend: """Authenticates users using their generated API token. This will check the ``HTTP_AUTHORIZATION`` header for a ``token <token>`` value. If found, it will attempt to find the user that owns the token, and authenticate that user.""" def get_credentials(self, request: H...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WebAPITokenAuthBackend: """Authenticates users using their generated API token. This will check the ``HTTP_AUTHORIZATION`` header for a ``token <token>`` value. If found, it will attempt to find the user that owns the token, and authenticate that user.""" def get_credentials(self, request: HttpRequest) -...

the_stack_v2_python_sparse

djblets/webapi/auth/backends/api_tokens.py

chipx86/djblets

train

2

8bfd94e6af41e7261260066d704758ca4723903f

[ "target_part_flat = list(target_part.recurse(classFilter=('Note', 'Rest')))\nout_stream = stream.Stream()\nout_flat = []\nskip_flag = False\nfor idx in np.arange(len(target_part_flat)):\n if embellisher.fermata_layer[idx] == 1 and (not skip_flag) and (not target_part_flat[idx].isRest):\n end_idx = self.ge...

<|body_start_0|> target_part_flat = list(target_part.recurse(classFilter=('Note', 'Rest'))) out_stream = stream.Stream() out_flat = [] skip_flag = False for idx in np.arange(len(target_part_flat)): if embellisher.fermata_layer[idx] == 1 and (not skip_flag) and (not ta...

FermataFill

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FermataFill: def embellish(self, embellisher, target_part, target_part_name): """Fill in consecutive quarter notes if they both fave fermatas""" <|body_0|> def get_fermata_end_index(self, start_index, fermata_layer): """Function to return the end index of a string of...

stack_v2_sparse_classes_36k_train_009166

11,313

no_license

[ { "docstring": "Fill in consecutive quarter notes if they both fave fermatas", "name": "embellish", "signature": "def embellish(self, embellisher, target_part, target_part_name)" }, { "docstring": "Function to return the end index of a string of fermatas Parameters ---------- start_index : int i...

2

stack_v2_sparse_classes_30k_train_003274

Implement the Python class `FermataFill` described below. Class description: Implement the FermataFill class. Method signatures and docstrings: - def embellish(self, embellisher, target_part, target_part_name): Fill in consecutive quarter notes if they both fave fermatas - def get_fermata_end_index(self, start_index,...

64baba9d90c25fea2687eed56b54b862eb3c89c9

<|skeleton|> class FermataFill: def embellish(self, embellisher, target_part, target_part_name): """Fill in consecutive quarter notes if they both fave fermatas""" <|body_0|> def get_fermata_end_index(self, start_index, fermata_layer): """Function to return the end index of a string of...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FermataFill: def embellish(self, embellisher, target_part, target_part_name): """Fill in consecutive quarter notes if they both fave fermatas""" target_part_flat = list(target_part.recurse(classFilter=('Note', 'Rest'))) out_stream = stream.Stream() out_flat = [] skip_fl...

the_stack_v2_python_sparse

bachmarkov/embellish/embellish.py

thewassermann/bachmarkov

train

0

ba46b2f01f4abecdb95c16af0c9daf99f98fa17d

[ "super(MLBFusion, self).__init__()\nself.linear_I = nn.Linear(I_input_hidden, mm_hidden_size)\nself.linear_T = nn.Linear(T_input_hidden, mm_hidden_size)\nself.I_activate_func = I_activate_func\nself.T_activate_func = T_activate_func\nself.dropout_I = dropout_I\nself.dropout_T = dropout_T", "x_I = F.dropout(input_...

<|body_start_0|> super(MLBFusion, self).__init__() self.linear_I = nn.Linear(I_input_hidden, mm_hidden_size) self.linear_T = nn.Linear(T_input_hidden, mm_hidden_size) self.I_activate_func = I_activate_func self.T_activate_func = T_activate_func self.dropout_I = dropout_I ...

MLBFusion

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MLBFusion: def __init__(self, T_input_hidden, I_input_hidden, mm_hidden_size=1200, T_activate_func=gelu, I_activate_func=gelu, dropout_T=0.5, dropout_I=0.5): """:param T_input_hidden: Text feature size :param I_input_hidden: Image feature size :param mm_hidden_size: multimodal hidden siz...

stack_v2_sparse_classes_36k_train_009167

5,761

no_license

[ { "docstring": ":param T_input_hidden: Text feature size :param I_input_hidden: Image feature size :param mm_hidden_size: multimodal hidden size :param T_activate_func: Text activate function, must be a callable object :param I_activate_func: Image activate function, must be a callable object :param dropout_T: ...

2

stack_v2_sparse_classes_30k_train_002842

Implement the Python class `MLBFusion` described below. Class description: Implement the MLBFusion class. Method signatures and docstrings: - def __init__(self, T_input_hidden, I_input_hidden, mm_hidden_size=1200, T_activate_func=gelu, I_activate_func=gelu, dropout_T=0.5, dropout_I=0.5): :param T_input_hidden: Text f...

6209dc7a9f17e52dd570bbcbd1c9829a2b14f52c

<|skeleton|> class MLBFusion: def __init__(self, T_input_hidden, I_input_hidden, mm_hidden_size=1200, T_activate_func=gelu, I_activate_func=gelu, dropout_T=0.5, dropout_I=0.5): """:param T_input_hidden: Text feature size :param I_input_hidden: Image feature size :param mm_hidden_size: multimodal hidden siz...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MLBFusion: def __init__(self, T_input_hidden, I_input_hidden, mm_hidden_size=1200, T_activate_func=gelu, I_activate_func=gelu, dropout_T=0.5, dropout_I=0.5): """:param T_input_hidden: Text feature size :param I_input_hidden: Image feature size :param mm_hidden_size: multimodal hidden size :param T_act...

the_stack_v2_python_sparse

models/base/modal_fusion.py

yiranyyu/Phrase-Grounding

train

2

0edde025936976aa089bd6cf642279cdd08c7033

[ "self.chess_game = chess_game\nself.pieces = []\nself._load_pieces()", "filename = 'images/chess_pieces.bmp'\npiece_ss = SpriteSheet(filename)\npiece_images = piece_ss.load_grid_images(2, 6, x_margin=64, x_padding=72, y_margin=68, y_padding=48)\ncolors = ['black', 'white']\nnames = ['king', 'queen', 'rook', 'bish...

Represents a set of chess pieces. Each piece is an object of the Piece class.

ChessSet

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ChessSet: """Represents a set of chess pieces. Each piece is an object of the Piece class.""" def __init__(self, chess_game): """Initialize attributes to represent the overall set of pieces.""" <|body_0|> def _load_pieces(self): """Builds the overall set: - Loads...

stack_v2_sparse_classes_36k_train_009168

2,009

permissive

[ { "docstring": "Initialize attributes to represent the overall set of pieces.", "name": "__init__", "signature": "def __init__(self, chess_game)" }, { "docstring": "Builds the overall set: - Loads images from the sprite sheet. - Creates a Piece object, and sets appropriate attributes for that pi...

2

stack_v2_sparse_classes_30k_train_017876

Implement the Python class `ChessSet` described below. Class description: Represents a set of chess pieces. Each piece is an object of the Piece class. Method signatures and docstrings: - def __init__(self, chess_game): Initialize attributes to represent the overall set of pieces. - def _load_pieces(self): Builds the...

2cb4b45dd14a230aa0e800042e893f8dfb23beda

<|skeleton|> class ChessSet: """Represents a set of chess pieces. Each piece is an object of the Piece class.""" def __init__(self, chess_game): """Initialize attributes to represent the overall set of pieces.""" <|body_0|> def _load_pieces(self): """Builds the overall set: - Loads...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ChessSet: """Represents a set of chess pieces. Each piece is an object of the Piece class.""" def __init__(self, chess_game): """Initialize attributes to represent the overall set of pieces.""" self.chess_game = chess_game self.pieces = [] self._load_pieces() def _loa...

the_stack_v2_python_sparse

MY_REPOS/Lambda-Resource-Static-Assets/2-resources/BLOG/Python/pcc_2e-master/beyond_pcc/chess_game/chess_set.py

bgoonz/UsefulResourceRepo2.0

train

10

ac72b15d3753c8c6976750c0b7350b07a8053b2f

[ "func = self.client.getCommandFunc('undo')\nif func is not None:\n func(('/undo', 'all', username), 'user', False)\nelse:\n self.client.sendServerMessage('Error: Could not find Undo command.')\nfunc = self.client.getCommandFunc('spec')\nif func is not None:\n func(('/spec', username), 'user', False)\nelse:...

<|body_start_0|> func = self.client.getCommandFunc('undo') if func is not None: func(('/undo', 'all', username), 'user', False) else: self.client.sendServerMessage('Error: Could not find Undo command.') func = self.client.getCommandFunc('spec') if func is ...

xspec

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class xspec: def commandXSpec(self, username, fromloc, overriderank): """/xspec username - Mod Undoes all builds by the user, specs them, and then kicks them.""" <|body_0|> def commandUSpec(self, username, fromloc, overriderank): """/uspec username - Mod Undoes all builds ...

stack_v2_sparse_classes_36k_train_009169

2,046

permissive

[ { "docstring": "/xspec username - Mod Undoes all builds by the user, specs them, and then kicks them.", "name": "commandXSpec", "signature": "def commandXSpec(self, username, fromloc, overriderank)" }, { "docstring": "/uspec username - Mod Undoes all builds by the user and specs them.", "nam...

2

stack_v2_sparse_classes_30k_train_014644

Implement the Python class `xspec` described below. Class description: Implement the xspec class. Method signatures and docstrings: - def commandXSpec(self, username, fromloc, overriderank): /xspec username - Mod Undoes all builds by the user, specs them, and then kicks them. - def commandUSpec(self, username, fromlo...

5482def8b50562fdbae980cda9b1708bfad8bffb

<|skeleton|> class xspec: def commandXSpec(self, username, fromloc, overriderank): """/xspec username - Mod Undoes all builds by the user, specs them, and then kicks them.""" <|body_0|> def commandUSpec(self, username, fromloc, overriderank): """/uspec username - Mod Undoes all builds ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class xspec: def commandXSpec(self, username, fromloc, overriderank): """/xspec username - Mod Undoes all builds by the user, specs them, and then kicks them.""" func = self.client.getCommandFunc('undo') if func is not None: func(('/undo', 'all', username), 'user', False) ...

the_stack_v2_python_sparse

core/plugins/xspec.py

TheArchives/Nexus

train

1

dc56a997b4bf8fd7b7792a023b8b2c720d61dab6

[ "self.help_headers_color = help_headers_color or {}\nself.help_options_color = help_options_color or {}\nself.help_options_custom_colors = help_options_custom_colors or {}\nsuper().__init__(*args, **kwargs)", "formatter = HelpColorsFormatter(width=ctx.terminal_width, max_width=ctx.max_content_width, headers_color...

<|body_start_0|> self.help_headers_color = help_headers_color or {} self.help_options_color = help_options_color or {} self.help_options_custom_colors = help_options_custom_colors or {} super().__init__(*args, **kwargs) <|end_body_0|> <|body_start_1|> formatter = HelpColorsForma...

Click help formatting plugin. See file docstring for license. Modified from original copy to support click.style() instead of direct ANSII string formatting.

HelpColorsMixin

[ "BSD-3-Clause-Clear" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class HelpColorsMixin: """Click help formatting plugin. See file docstring for license. Modified from original copy to support click.style() instead of direct ANSII string formatting.""" def __init__(self, help_headers_color=None, help_options_color=None, help_options_custom_colors=None, *args, **...

stack_v2_sparse_classes_36k_train_009170

6,420

permissive

[ { "docstring": "Initialize help mixin.", "name": "__init__", "signature": "def __init__(self, help_headers_color=None, help_options_color=None, help_options_custom_colors=None, *args, **kwargs)" }, { "docstring": "Format help.", "name": "get_help", "signature": "def get_help(self, ctx)" ...

2

stack_v2_sparse_classes_30k_train_016598

Implement the Python class `HelpColorsMixin` described below. Class description: Click help formatting plugin. See file docstring for license. Modified from original copy to support click.style() instead of direct ANSII string formatting. Method signatures and docstrings: - def __init__(self, help_headers_color=None,...

90c179f46ecc58562dbcd9ec6d761075a8699f79

<|skeleton|> class HelpColorsMixin: """Click help formatting plugin. See file docstring for license. Modified from original copy to support click.style() instead of direct ANSII string formatting.""" def __init__(self, help_headers_color=None, help_options_color=None, help_options_custom_colors=None, *args, **...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HelpColorsMixin: """Click help formatting plugin. See file docstring for license. Modified from original copy to support click.style() instead of direct ANSII string formatting.""" def __init__(self, help_headers_color=None, help_options_color=None, help_options_custom_colors=None, *args, **kwargs): ...

the_stack_v2_python_sparse

hyperglass/cli/formatting.py

GeeZeeS/hyperglass

train

0

aa890a4d28c88cd8ecfe4c96d080df2bb08a7085

[ "self.dense1 = Dense(self.n_hidden)\nself.dense2 = Dense(self.n_hidden)\nself.dense3 = Dense(self.n_latent)\nself.dense4 = Dense(self.n_latent)\nself.batchnorm1 = nn.BatchNorm(momentum=0.99, epsilon=0.001)\nself.batchnorm2 = nn.BatchNorm(momentum=0.99, epsilon=0.001)\nself.dropout1 = nn.Dropout(self.dropout_rate)\n...

<|body_start_0|> self.dense1 = Dense(self.n_hidden) self.dense2 = Dense(self.n_hidden) self.dense3 = Dense(self.n_latent) self.dense4 = Dense(self.n_latent) self.batchnorm1 = nn.BatchNorm(momentum=0.99, epsilon=0.001) self.batchnorm2 = nn.BatchNorm(momentum=0.99, epsilon=...

Encoder for Jax VAE.

FlaxEncoder

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009171

7,000

permissive

[ { "docstring": "Setup encoder.", "name": "setup", "signature": "def setup(self)" }, { "docstring": "Forward pass.", "name": "__call__", "signature": "def __call__(self, x: jnp.ndarray, training: Optional[bool]=None)" } ]

2

stack_v2_sparse_classes_30k_train_014674

Implement the Python class `FlaxEncoder` described below. Class description: Encoder for Jax VAE. Method signatures and docstrings: - def setup(self): Setup encoder. - def __call__(self, x: jnp.ndarray, training: Optional[bool]=None): Forward pass.

Implement the Python class `FlaxEncoder` described below. Class description: Encoder for Jax VAE. Method signatures and docstrings: - def setup(self): Setup encoder. - def __call__(self, x: jnp.ndarray, training: Optional[bool]=None): Forward pass. <|skeleton|> class FlaxEncoder: """Encoder for Jax VAE.""" ...

2cf00ecef4a04dfa2d35fb0fd3cb3aa0eb101330

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FlaxEncoder: """Encoder for Jax VAE.""" def setup(self): """Setup encoder.""" self.dense1 = Dense(self.n_hidden) self.dense2 = Dense(self.n_hidden) self.dense3 = Dense(self.n_latent) self.dense4 = Dense(self.n_latent) self.batchnorm1 = nn.BatchNorm(momentum...

the_stack_v2_python_sparse

scvi/module/_jaxvae.py

jacobkimmel/scVI

train

0

3f55621c031b8444134a82c02601f0f41b772268

[ "def dfs(node, s):\n \"\"\"\n :ret: true, false\n \"\"\"\n if not node:\n return False\n if not node.left and (not node.right) and (s == node.val):\n return True\n lv = rv = False\n if node.left:\n lv = dfs(node.left, s - node.val)\n if node.right:\n ...

<|body_start_0|> def dfs(node, s): """ :ret: true, false """ if not node: return False if not node.left and (not node.right) and (s == node.val): return True lv = rv = False if nod...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009172

2,306

no_license

[ { "docstring": ":type root: TreeNode :type sum: int :rtype: bool using minus", "name": "hasPathSum", "signature": "def hasPathSum(self, root, s)" }, { "docstring": ":type root: TreeNode :type sum: int :rtype: bool using minus!", "name": "rewrite", "signature": "def rewrite(self, root, s)...

2

stack_v2_sparse_classes_30k_train_021523

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def hasPathSum(self, root, s): :type root: TreeNode :type sum: int :rtype: bool using minus - def rewrite(self, root, s): :type root: TreeNode :type sum: int :rtype: bool using m...

6350568d16b0f8c49a020f055bb6d72e2705ea56

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def hasPathSum(self, root, s): """:type root: TreeNode :type sum: int :rtype: bool using minus""" def dfs(node, s): """ :ret: true, false """ if not node: return False if not node.left and (no...

the_stack_v2_python_sparse

depth-first-search/112_Path_Sum.py

vsdrun/lc_public

train

6

ff57d5d6f3ce7ceb296e76aee369d25fa082b2b7

[ "dir_path = dir_path.rstrip('/')\nlog.i('- start merge: [%s]' % dir_path)\nlines = [self.Parsed(dt.min, b'')]\nfiles = list(self.__files(dir_path))\nif len(files) == 0:\n return False\nfor l in list(fileinput.input(files, mode='rb')):\n p = self.__parse(l)\n if p.time is None:\n lines[-1].line = lin...

<|body_start_0|> dir_path = dir_path.rstrip('/') log.i('- start merge: [%s]' % dir_path) lines = [self.Parsed(dt.min, b'')] files = list(self.__files(dir_path)) if len(files) == 0: return False for l in list(fileinput.input(files, mode='rb')): p = ...

Merge multiple log files.

Merge

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Merge: """Merge multiple log files.""" def exec(self, dir_path): """Exec merge files and sort by timestamp. :param str dir_path: Directory path which contains log files. :return: Merge result. :rtype bool""" <|body_0|> def __files(self, dir_path): """Find files. ...

stack_v2_sparse_classes_36k_train_009173

2,373

permissive

[ { "docstring": "Exec merge files and sort by timestamp. :param str dir_path: Directory path which contains log files. :return: Merge result. :rtype bool", "name": "exec", "signature": "def exec(self, dir_path)" }, { "docstring": "Find files. :return: Iterator[str]", "name": "__files", "s...

3

stack_v2_sparse_classes_30k_train_005799

Implement the Python class `Merge` described below. Class description: Merge multiple log files. Method signatures and docstrings: - def exec(self, dir_path): Exec merge files and sort by timestamp. :param str dir_path: Directory path which contains log files. :return: Merge result. :rtype bool - def __files(self, di...

3d2675e784fb535023ad8b12933c27fd65c2fe2e

<|skeleton|> class Merge: """Merge multiple log files.""" def exec(self, dir_path): """Exec merge files and sort by timestamp. :param str dir_path: Directory path which contains log files. :return: Merge result. :rtype bool""" <|body_0|> def __files(self, dir_path): """Find files. ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Merge: """Merge multiple log files.""" def exec(self, dir_path): """Exec merge files and sort by timestamp. :param str dir_path: Directory path which contains log files. :return: Merge result. :rtype bool""" dir_path = dir_path.rstrip('/') log.i('- start merge: [%s]' % dir_path) ...

the_stack_v2_python_sparse

logger/merge.py

ujiro99/auto_logger

train

0

2e4376f7331777b5521feda55dd6f9bcc1b75dff

[ "step = 0\nfor num in chips:\n if num % 2 == 1:\n step += 1\nreturn min(step, len(chips) - step)", "step1, step2 = (0, 0)\nfor num in chips:\n if num % 2 == 1:\n step1 += 1\n else:\n step2 += 1\nreturn min(step1, step2)" ]

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009174

2,366

permissive

[ { "docstring": "摆筹码代价最小 Args: chips: 数组 Returns: 摆筹码", "name": "min_cost_to_move_chips", "signature": "def min_cost_to_move_chips(self, chips: List[int]) -> int" }, { "docstring": "摆筹码代价最小 Args: chips: 数组 Returns: 摆筹码", "name": "min_cost_to_move_chips2", "signature": "def min_cost_to_mov...

2

stack_v2_sparse_classes_30k_train_016671

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def min_cost_to_move_chips(self, chips: List[int]) -> int: 摆筹码代价最小 Args: chips: 数组 Returns: 摆筹码 - def min_cost_to_move_chips2(self, chips: List[int]) -> int: 摆筹码代价最小 Args: chips:...

50f35eef6a0ad63173efed10df3c835b1dceaa3f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def min_cost_to_move_chips(self, chips: List[int]) -> int: """摆筹码代价最小 Args: chips: 数组 Returns: 摆筹码""" step = 0 for num in chips: if num % 2 == 1: step += 1 return min(step, len(chips) - step) def min_cost_to_move_chips2(self, chips: Li...

the_stack_v2_python_sparse

src/leetcodepython/array/play_with_chips_1217.py

zhangyu345293721/leetcode

train

101

533ae1e65676f3bed6656686bfaae22f1b4e042a

[ "self.db = db\nself.config = config\nself.slides = self.db[self.config['db_collection']]", "if not ObjectId.is_valid(id):\n resp = {'status': 404, 'message': 'Invalid slide Id ' + id}\n return Response(dumps(resp), status=404, mimetype='application/json')\nimage = self.slides.find_one({'_id': ObjectId(id)},...

<|body_start_0|> self.db = db self.config = config self.slides = self.db[self.config['db_collection']] <|end_body_0|> <|body_start_1|> if not ObjectId.is_valid(id): resp = {'status': 404, 'message': 'Invalid slide Id ' + id} return Response(dumps(resp), status=40...

Slide

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Slide: def __init__(self, db, config): """initialize Slide resource Args: db: mongo db connection config: application configurations opt: deep zoom configurations Returns: None""" <|body_0|> def get(self, id): """Get slide information --- tags: - Slide parameters: - ...

stack_v2_sparse_classes_36k_train_009175

2,541

permissive

[ { "docstring": "initialize Slide resource Args: db: mongo db connection config: application configurations opt: deep zoom configurations Returns: None", "name": "__init__", "signature": "def __init__(self, db, config)" }, { "docstring": "Get slide information --- tags: - Slide parameters: - in: ...

3

stack_v2_sparse_classes_30k_train_013271

Implement the Python class `Slide` described below. Class description: Implement the Slide class. Method signatures and docstrings: - def __init__(self, db, config): initialize Slide resource Args: db: mongo db connection config: application configurations opt: deep zoom configurations Returns: None - def get(self, i...

86f89f08dcfdab00ca295a6009820c02d84f7074

<|skeleton|> class Slide: def __init__(self, db, config): """initialize Slide resource Args: db: mongo db connection config: application configurations opt: deep zoom configurations Returns: None""" <|body_0|> def get(self, id): """Get slide information --- tags: - Slide parameters: - ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Slide: def __init__(self, db, config): """initialize Slide resource Args: db: mongo db connection config: application configurations opt: deep zoom configurations Returns: None""" self.db = db self.config = config self.slides = self.db[self.config['db_collection']] def get...

the_stack_v2_python_sparse

api/routes/v1/Slide.py

dgutman/ADRCPathViewer

train

1

14bf3295d4b8eb60dfc5643d85db80b743727066

[ "stats = kwargs['stats']\nif day == 0 or not stats:\n return '<td class=\"noday\"> </td>'\nstat = next((stat for stat in stats if stat.date == dt.date(kwargs['theyear'], kwargs['themonth'], day)), None)\nif not stat:\n return '<td class=\"noday\"> </td>'\nparams = dict(defaults.units, **stat.dict)\n...

<|body_start_0|> stats = kwargs['stats'] if day == 0 or not stats: return '<td class="noday"> </td>' stat = next((stat for stat in stats if stat.date == dt.date(kwargs['theyear'], kwargs['themonth'], day)), None) if not stat: return '<td class="noday"> <...

Генератор html-календаря с погодой

CalendarMaker

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CalendarMaker: """Генератор html-календаря с погодой""" def formatday(self, day, weekday, **kwargs): """Возвращает HTML код ячейки календаря :param day: день месяца :param weekday: день недели :param kwargs: в кваргах передаётся stats - список объектов класса Stats :return: str Html ...

stack_v2_sparse_classes_36k_train_009176

11,050

no_license

[ { "docstring": "Возвращает HTML код ячейки календаря :param day: день месяца :param weekday: день недели :param kwargs: в кваргах передаётся stats - список объектов класса Stats :return: str Html код ячейки календаря с прогнозом", "name": "formatday", "signature": "def formatday(self, day, weekday, **kw...

5

null

Implement the Python class `CalendarMaker` described below. Class description: Генератор html-календаря с погодой Method signatures and docstrings: - def formatday(self, day, weekday, **kwargs): Возвращает HTML код ячейки календаря :param day: день месяца :param weekday: день недели :param kwargs: в кваргах передаётс...

d2c0014dffccadb8232a1034e4ea9b427016a1d1

<|skeleton|> class CalendarMaker: """Генератор html-календаря с погодой""" def formatday(self, day, weekday, **kwargs): """Возвращает HTML код ячейки календаря :param day: день месяца :param weekday: день недели :param kwargs: в кваргах передаётся stats - список объектов класса Stats :return: str Html ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CalendarMaker: """Генератор html-календаря с погодой""" def formatday(self, day, weekday, **kwargs): """Возвращает HTML код ячейки календаря :param day: день месяца :param weekday: день недели :param kwargs: в кваргах передаётся stats - список объектов класса Stats :return: str Html код ячейки ка...

the_stack_v2_python_sparse

lesson_016/engine/image_maker.py

glotyuids/skillbox_learning

train

0

a57de99f40ac58259136f3d63db1aa7f0d3d1c2a

[ "result = []\nfor i in range(len(temperatures)):\n for j in range(i + 1, len(temperatures)):\n if temperatures[j] > temperatures[i]:\n result.append(j - i)\n break\n if j == len(temperatures) - 1 and temperatures[j] <= temperatures[i]:\n result.append(0)\nresult.app...

<|body_start_0|> result = [] for i in range(len(temperatures)): for j in range(i + 1, len(temperatures)): if temperatures[j] > temperatures[i]: result.append(j - i) break if j == len(temperatures) - 1 and temperatures[j]...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009177

1,544

no_license

[ { "docstring": ":type temperatures: List[int] :rtype: List[int]", "name": "dailyTemperatures1", "signature": "def dailyTemperatures1(self, temperatures)" }, { "docstring": ":type temperatures: List[int] :rtype: List[int]", "name": "dailyTemperatures", "signature": "def dailyTemperatures(...

2

stack_v2_sparse_classes_30k_train_010693

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def dailyTemperatures1(self, temperatures): :type temperatures: List[int] :rtype: List[int] - def dailyTemperatures(self, temperatures): :type temperatures: List[int] :rtype: Lis...

96e847591aa6ea7ea285dbcfc1c9bcfc32026de5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def dailyTemperatures1(self, temperatures): """:type temperatures: List[int] :rtype: List[int]""" result = [] for i in range(len(temperatures)): for j in range(i + 1, len(temperatures)): if temperatures[j] > temperatures[i]: res...

the_stack_v2_python_sparse

DueueStack/L739_daily-temperatures.py

lihujun101/LeetCode

train

0

ce2be1f9aaeb877660e30745892967dae1848032

[ "params = super().get_default_params()\nparams.add(engine.param.Param(name='num_dense_units', value=512, hyper_space=engine.hyper_spaces.quniform(low=32, high=1024), validator=lambda x: 0 < x < 2048))\nreturn params", "x_in = [keras.layers.Input(shape) for shape in self._params['input_shapes']]\nx = keras.layers....

A simple densely connected baseline model. Examples: >>> model = DenseBaselineModel() >>> model.params['input_shapes'] = [(30,), (30,)] >>> model.params['num_dense_units'] = 1024 >>> model.guess_and_fill_missing_params() >>> model.build()

DenseBaselineModel

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DenseBaselineModel: """A simple densely connected baseline model. Examples: >>> model = DenseBaselineModel() >>> model.params['input_shapes'] = [(30,), (30,)] >>> model.params['num_dense_units'] = 1024 >>> model.guess_and_fill_missing_params() >>> model.build()""" def get_default_params(cls)...

stack_v2_sparse_classes_36k_train_009178

1,299

permissive

[ { "docstring": ":return: model default parameters.", "name": "get_default_params", "signature": "def get_default_params(cls) -> engine.ParamTable" }, { "docstring": "Model structure.", "name": "build", "signature": "def build(self)" } ]

2

stack_v2_sparse_classes_30k_train_012311

Implement the Python class `DenseBaselineModel` described below. Class description: A simple densely connected baseline model. Examples: >>> model = DenseBaselineModel() >>> model.params['input_shapes'] = [(30,), (30,)] >>> model.params['num_dense_units'] = 1024 >>> model.guess_and_fill_missing_params() >>> model.buil...

e49d619a52b2e96b6f0e8e76164d76f623210198

<|skeleton|> class DenseBaselineModel: """A simple densely connected baseline model. Examples: >>> model = DenseBaselineModel() >>> model.params['input_shapes'] = [(30,), (30,)] >>> model.params['num_dense_units'] = 1024 >>> model.guess_and_fill_missing_params() >>> model.build()""" def get_default_params(cls)...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DenseBaselineModel: """A simple densely connected baseline model. Examples: >>> model = DenseBaselineModel() >>> model.params['input_shapes'] = [(30,), (30,)] >>> model.params['num_dense_units'] = 1024 >>> model.guess_and_fill_missing_params() >>> model.build()""" def get_default_params(cls) -> engine.Pa...

the_stack_v2_python_sparse

matchzoo/models/dense_baseline_model.py

JacobPolloreno/MatchZoo

train

0

de4e5aea3ea7a3c3985041a7146e4182c0628b12

[ "if not fs.is_valid_project_root(root_dir):\n raise TrestleError(f'Provided root directory {str(root_dir)} is not a valid Trestle root directory.')\nself.root_dir = root_dir\nself.model_type = model_type\nself.model_name = name\nself.model_alias = classname_to_alias(self.model_type.__name__, 'json')\nif parser.t...

<|body_start_0|> if not fs.is_valid_project_root(root_dir): raise TrestleError(f'Provided root directory {str(root_dir)} is not a valid Trestle root directory.') self.root_dir = root_dir self.model_type = model_type self.model_name = name self.model_alias = classname_...

Object representing OSCAL models in repository for programmatic manipulation.

ManagedOSCAL

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ManagedOSCAL: """Object representing OSCAL models in repository for programmatic manipulation.""" def __init__(self, root_dir: pathlib.Path, model_type: Type[OscalBaseModel], name: str) -> None: """Initialize repository OSCAL model object.""" <|body_0|> def read(self) ->...

stack_v2_sparse_classes_36k_train_009179

16,368

permissive

[ { "docstring": "Initialize repository OSCAL model object.", "name": "__init__", "signature": "def __init__(self, root_dir: pathlib.Path, model_type: Type[OscalBaseModel], name: str) -> None" }, { "docstring": "Read OSCAL model from repository.", "name": "read", "signature": "def read(sel...

6

stack_v2_sparse_classes_30k_train_007142

Implement the Python class `ManagedOSCAL` described below. Class description: Object representing OSCAL models in repository for programmatic manipulation. Method signatures and docstrings: - def __init__(self, root_dir: pathlib.Path, model_type: Type[OscalBaseModel], name: str) -> None: Initialize repository OSCAL m...

969c10eceb73202d2b7856bac598f9b11afc696e

<|skeleton|> class ManagedOSCAL: """Object representing OSCAL models in repository for programmatic manipulation.""" def __init__(self, root_dir: pathlib.Path, model_type: Type[OscalBaseModel], name: str) -> None: """Initialize repository OSCAL model object.""" <|body_0|> def read(self) ->...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ManagedOSCAL: """Object representing OSCAL models in repository for programmatic manipulation.""" def __init__(self, root_dir: pathlib.Path, model_type: Type[OscalBaseModel], name: str) -> None: """Initialize repository OSCAL model object.""" if not fs.is_valid_project_root(root_dir): ...

the_stack_v2_python_sparse

trestle/core/repository.py

xee5ch/compliance-trestle

train

0

70a48bbff8040b7574bf27c5d3a333ad7490989e

[ "exc_infos = []\nfor _ in xrange(num):\n exc_infos.extend(failures_lib.CreateExceptInfo(cls(message), traceback))\nreturn exc_infos", "self.assertTrue(failures_lib.CompoundFailure().HasEmptyList())\nexc_infos = self._CreateExceptInfos(KeyError)\nself.assertFalse(failures_lib.CompoundFailure(exc_infos=exc_infos...

Test the CompoundFailure class.

CompoundFailureTest

[ "LGPL-2.0-or-later", "GPL-1.0-or-later", "MIT", "Apache-2.0", "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CompoundFailureTest: """Test the CompoundFailure class.""" def _CreateExceptInfos(self, cls, message='', traceback='', num=1): """A helper function to create a list of ExceptInfo objects.""" <|body_0|> def testHasEmptyList(self): """Tests the HasEmptyList method....

stack_v2_sparse_classes_36k_train_009180

9,373

permissive

[ { "docstring": "A helper function to create a list of ExceptInfo objects.", "name": "_CreateExceptInfos", "signature": "def _CreateExceptInfos(self, cls, message='', traceback='', num=1)" }, { "docstring": "Tests the HasEmptyList method.", "name": "testHasEmptyList", "signature": "def te...

6

null

Implement the Python class `CompoundFailureTest` described below. Class description: Test the CompoundFailure class. Method signatures and docstrings: - def _CreateExceptInfos(self, cls, message='', traceback='', num=1): A helper function to create a list of ExceptInfo objects. - def testHasEmptyList(self): Tests the...

72a05af97787001756bae2511b7985e61498c965

<|skeleton|> class CompoundFailureTest: """Test the CompoundFailure class.""" def _CreateExceptInfos(self, cls, message='', traceback='', num=1): """A helper function to create a list of ExceptInfo objects.""" <|body_0|> def testHasEmptyList(self): """Tests the HasEmptyList method....

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CompoundFailureTest: """Test the CompoundFailure class.""" def _CreateExceptInfos(self, cls, message='', traceback='', num=1): """A helper function to create a list of ExceptInfo objects.""" exc_infos = [] for _ in xrange(num): exc_infos.extend(failures_lib.CreateExcep...

the_stack_v2_python_sparse

third_party/chromite/cbuildbot/failures_lib_unittest.py

metux/chromium-suckless

train

5

aa3e5ba23c0ac42486b030cd4d6a66b466ff0d1e

[ "self.cache_size = 0\nself.cache_capacity = capacity\nself.cache = dict()\nself.list = List()", "if key not in self.cache:\n return -1\nreturn_value = self.cache[key].value\nself.list.move_node_to_front(self.cache[key])\nreturn return_value", "if key not in self.cache:\n if self.cache_size == self.cache_c...

LRUCache

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009181

4,037

no_license

[ { "docstring": ":type capacity: int", "name": "__init__", "signature": "def __init__(self, capacity)" }, { "docstring": ":type key: int :rtype: int", "name": "get", "signature": "def get(self, key)" }, { "docstring": ":type key: int :type value: int :rtype: void", "name": "pu...

3

null

Implement the Python class `LRUCache` described below. Class description: Implement the LRUCache class. Method signatures and docstrings: - def __init__(self, capacity): :type capacity: int - def get(self, key): :type key: int :rtype: int - def put(self, key, value): :type key: int :type value: int :rtype: void

Implement the Python class `LRUCache` described below. Class description: Implement the LRUCache class. Method signatures and docstrings: - def __init__(self, capacity): :type capacity: int - def get(self, key): :type key: int :rtype: int - def put(self, key, value): :type key: int :type value: int :rtype: void <|sk...

1dec441f1975d402d093031569cfd301eb71d465

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LRUCache: def __init__(self, capacity): """:type capacity: int""" self.cache_size = 0 self.cache_capacity = capacity self.cache = dict() self.list = List() def get(self, key): """:type key: int :rtype: int""" if key not in self.cache: re...

the_stack_v2_python_sparse

146-lru-cache.py

franktank/py-practice

train

1

e1419476106d719fc42ec0c79667826f79301a57

[ "if node.op == 'call_function':\n if node.target in (len, operator.is_, operator.is_not, operator.contains):\n return True\nelif node.op == 'call_method':\n if isinstance(node.args[0], Node) and isinstance(model_speedup.node_infos[node.args[0]].output_origin, torch.Tensor):\n if node.target in (...

<|body_start_0|> if node.op == 'call_function': if node.target in (len, operator.is_, operator.is_not, operator.contains): return True elif node.op == 'call_method': if isinstance(node.args[0], Node) and isinstance(model_speedup.node_infos[node.args[0]].output_ori...

For some ops that will not produce masks.

NoMaskUpdater

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NoMaskUpdater: """For some ops that will not produce masks.""" def detect(self, model_speedup: 'ModelSpeedup', node: Node) -> bool: """the default MaskUpdater for operators that will not change mask value""" <|body_0|> def direct_update_process(self, model_speedup: 'Mode...

stack_v2_sparse_classes_36k_train_009182

20,408

permissive

[ { "docstring": "the default MaskUpdater for operators that will not change mask value", "name": "detect", "signature": "def detect(self, model_speedup: 'ModelSpeedup', node: Node) -> bool" }, { "docstring": "get all input from node_info.output_randomize and execute the node calc the out_mask and...

2

null

Implement the Python class `NoMaskUpdater` described below. Class description: For some ops that will not produce masks. Method signatures and docstrings: - def detect(self, model_speedup: 'ModelSpeedup', node: Node) -> bool: the default MaskUpdater for operators that will not change mask value - def direct_update_pr...

b84d25bec15ece54bf1703b1acb15d9f8919f656

<|skeleton|> class NoMaskUpdater: """For some ops that will not produce masks.""" def detect(self, model_speedup: 'ModelSpeedup', node: Node) -> bool: """the default MaskUpdater for operators that will not change mask value""" <|body_0|> def direct_update_process(self, model_speedup: 'Mode...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NoMaskUpdater: """For some ops that will not produce masks.""" def detect(self, model_speedup: 'ModelSpeedup', node: Node) -> bool: """the default MaskUpdater for operators that will not change mask value""" if node.op == 'call_function': if node.target in (len, operator.is_, ...

the_stack_v2_python_sparse

nni/compression/speedup/mask_updater.py

Eurus-Holmes/nni

train

3

7378ae5ad74753ba51e41a50533d20e75802c923

[ "if not api_url:\n raise ValueError('Invalid URL')\nself.url = api_url\nself.auth = NewsApiAuth(api_key=api_key)", "if not keyword:\n raise ValueError('Invalid keyword')\nurl_params = {'q': keyword, 'language': _DEFAULT_LANGUAGE, 'sortBy': _RELEVANCY, 'from': date_from.strftime('%Y-%m-%d'), 'pageSize': page...

<|body_start_0|> if not api_url: raise ValueError('Invalid URL') self.url = api_url self.auth = NewsApiAuth(api_key=api_key) <|end_body_0|> <|body_start_1|> if not keyword: raise ValueError('Invalid keyword') url_params = {'q': keyword, 'language': _DEFAU...

Defines new object to collect News APi information. Attributes: url: (str) HTTP URL to contact API. auth: (requests) Corresponds to key to authenticate News Api.

NewsApiClient

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NewsApiClient: """Defines new object to collect News APi information. Attributes: url: (str) HTTP URL to contact API. auth: (requests) Corresponds to key to authenticate News Api.""" def __init__(self, api_key, api_url): """Constructor to define API key and URL. Args: api_key: (str) ...

stack_v2_sparse_classes_36k_train_009183

14,300

permissive

[ { "docstring": "Constructor to define API key and URL. Args: api_key: (str) Corresponds to key to authenticate News Api. api_url: (str) URL to contact API. Raises: ValueError: Invalid URL.", "name": "__init__", "signature": "def __init__(self, api_key, api_url)" }, { "docstring": ":param keyword...

3

stack_v2_sparse_classes_30k_train_011862

Implement the Python class `NewsApiClient` described below. Class description: Defines new object to collect News APi information. Attributes: url: (str) HTTP URL to contact API. auth: (requests) Corresponds to key to authenticate News Api. Method signatures and docstrings: - def __init__(self, api_key, api_url): Con...

c27812e6b846eb1e28ec0c6e8508e18886e37617

<|skeleton|> class NewsApiClient: """Defines new object to collect News APi information. Attributes: url: (str) HTTP URL to contact API. auth: (requests) Corresponds to key to authenticate News Api.""" def __init__(self, api_key, api_url): """Constructor to define API key and URL. Args: api_key: (str) ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NewsApiClient: """Defines new object to collect News APi information. Attributes: url: (str) HTTP URL to contact API. auth: (requests) Corresponds to key to authenticate News Api.""" def __init__(self, api_key, api_url): """Constructor to define API key and URL. Args: api_key: (str) Corresponds t...

the_stack_v2_python_sparse

mini/app.py

gogasca/news_ml

train

4

db986b3bb32571e73fc853dc8e92970869a72dd2

[ "super().__init__()\nself.property_set_list = property_set_list\nself.backtrack_name = f'{prefix}_minimum_point_state'\nself.minimum_reached = f'{prefix}_minimum_point'\nself.backtrack_depth = backtrack_depth", "score = tuple((self.property_set[x] for x in self.property_set_list))\nstate = self.property_set[self....

<|body_start_0|> super().__init__() self.property_set_list = property_set_list self.backtrack_name = f'{prefix}_minimum_point_state' self.minimum_reached = f'{prefix}_minimum_point' self.backtrack_depth = backtrack_depth <|end_body_0|> <|body_start_1|> score = tuple((sel...

Check if the DAG has reached a relative semi-stable point over previous runs This pass is similar to the :class:`~.FixedPoint` transpiler pass and is intended primarily to be used to set a loop break condition in the property set. However, unlike the :class:`~.FixedPoint` class which only sets the condition if 2 consec...

MinimumPoint

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MinimumPoint: """Check if the DAG has reached a relative semi-stable point over previous runs This pass is similar to the :class:`~.FixedPoint` transpiler pass and is intended primarily to be used to set a loop break condition in the property set. However, unlike the :class:`~.FixedPoint` class w...

stack_v2_sparse_classes_36k_train_009184

5,409

permissive

[ { "docstring": "Initialize an instance of this pass Args: property_set_list (list): A list of property set keys that will be used to evaluate the local minimum. The values of these property set keys will be used as a tuple for comparison prefix (str): The prefix to use for the property set key that is used for ...

2

null

Implement the Python class `MinimumPoint` described below. Class description: Check if the DAG has reached a relative semi-stable point over previous runs This pass is similar to the :class:`~.FixedPoint` transpiler pass and is intended primarily to be used to set a loop break condition in the property set. However, u...

0b51250e219ca303654fc28a318c21366584ccd3

<|skeleton|> class MinimumPoint: """Check if the DAG has reached a relative semi-stable point over previous runs This pass is similar to the :class:`~.FixedPoint` transpiler pass and is intended primarily to be used to set a loop break condition in the property set. However, unlike the :class:`~.FixedPoint` class w...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MinimumPoint: """Check if the DAG has reached a relative semi-stable point over previous runs This pass is similar to the :class:`~.FixedPoint` transpiler pass and is intended primarily to be used to set a loop break condition in the property set. However, unlike the :class:`~.FixedPoint` class which only set...

the_stack_v2_python_sparse

qiskit/transpiler/passes/utils/minimum_point.py

1ucian0/qiskit-terra

train

6

e05c94385259b4a27a8898fd11c194dd761a9f6f

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn SharedInsight()", "from .entity import Entity\nfrom .resource_reference import ResourceReference\nfrom .resource_visualization import ResourceVisualization\nfrom .sharing_detail import SharingDetail\nfrom .entity import Entity\nfrom .r...

SharedInsight

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SharedInsight: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SharedInsight: """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_009185

4,000

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: SharedInsight", "name": "create_from_discriminator_value", "signature": "def create_from_discriminator_value...

3

stack_v2_sparse_classes_30k_train_004603

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

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class SharedInsight: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SharedInsight: """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 SharedInsight: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SharedInsight: """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: SharedInsigh...

the_stack_v2_python_sparse

msgraph/generated/models/shared_insight.py

microsoftgraph/msgraph-sdk-python

train

135

0401ca140f9554023f67c5f495962b8d88356057

[ "import collections\ncounter = collections.Counter(nums)\nn_2 = len(nums) // 2\nfor key in counter.keys():\n value = counter.get(key)\n if value > n_2:\n return key", "temp = nums[0]\ncount = 1\nfor i in range(1, len(nums)):\n if count == 0:\n count += 1\n temp = nums[i]\n elif te...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009186

3,022

no_license

[ { "docstring": ":type nums: List[int] :rtype: int", "name": "majorityElement", "signature": "def majorityElement(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: int", "name": "majorityElement2", "signature": "def majorityElement2(self, nums)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def majorityElement(self, nums): :type nums: List[int] :rtype: int - def majorityElement2(self, nums): :type nums: List[int] :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def majorityElement(self, nums): :type nums: List[int] :rtype: int - def majorityElement2(self, nums): :type nums: List[int] :rtype: int <|skeleton|> class Solution: def ma...

e3fa905ea46f03b56cde662d1d7a03c4af82773a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def majorityElement(self, nums): """:type nums: List[int] :rtype: int""" import collections counter = collections.Counter(nums) n_2 = len(nums) // 2 for key in counter.keys(): value = counter.get(key) if value > n_2: ret...

the_stack_v2_python_sparse

pyPractice/algoproblem/MajorityElement_169.py

bing1zhi2/algorithmPractice

train

0

1c6c69e12eccccc3287fa81fdd1566bbcab1641a

[ "if columns is not None:\n if isinstance(columns, list) or isinstance(columns, tuple):\n self.columns = columns\n else:\n raise NameError('Invalid type {}'.format(type(columns)))\nelse:\n self.columns = columns\nself.random_state = random_state", "if not isinstance(X, pd.core.frame.DataFram...

<|body_start_0|> if columns is not None: if isinstance(columns, list) or isinstance(columns, tuple): self.columns = columns else: raise NameError('Invalid type {}'.format(type(columns))) else: self.columns = columns self.random_...

This transformer select features. Attributes ---------- columns: list of columns to transformer [n_columns] Examples -------- For usage examples, please see https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FeatureSelector/

FeatureSelector

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FeatureSelector: """This transformer select features. Attributes ---------- columns: list of columns to transformer [n_columns] Examples -------- For usage examples, please see https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FeatureSelector/""" def __init__(self, columns=None...

stack_v2_sparse_classes_36k_train_009187

6,690

permissive

[ { "docstring": "Init replace missing values.", "name": "__init__", "signature": "def __init__(self, columns=None, random_state=99)" }, { "docstring": "Gets the columns to make a replace missing values. Parameters ---------- X : {Dataframe}, shape = [n_samples, n_features] Dataframe, where n_samp...

3

stack_v2_sparse_classes_30k_train_005248

Implement the Python class `FeatureSelector` described below. Class description: This transformer select features. Attributes ---------- columns: list of columns to transformer [n_columns] Examples -------- For usage examples, please see https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FeatureSelector/ ...

e768a4cad150b35fb5bf543ab28aa23764af51d9

<|skeleton|> class FeatureSelector: """This transformer select features. Attributes ---------- columns: list of columns to transformer [n_columns] Examples -------- For usage examples, please see https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FeatureSelector/""" def __init__(self, columns=None...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FeatureSelector: """This transformer select features. Attributes ---------- columns: list of columns to transformer [n_columns] Examples -------- For usage examples, please see https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FeatureSelector/""" def __init__(self, columns=None, random_stat...

the_stack_v2_python_sparse

mlearner/preprocessing/feature_selector.py

jaisenbe58r/MLearner

train

9

3f5f61093ff089e84bcf992944928bf871f43e26

[ "count = [0]\nself.dfs(root, sum, 0, {}, count)\nreturn count[0]", "if not root:\n return\ncur_sum += root.val\ndiff = cur_sum - sum\nif diff in prefix_sum:\n count[0] += prefix_sum[diff]\nif diff == 0:\n count[0] += 1\nprefix_sum[cur_sum] = prefix_sum.get(cur_sum, 0) + 1\nself.dfs(root.left, sum, cur_su...

<|body_start_0|> count = [0] self.dfs(root, sum, 0, {}, count) return count[0] <|end_body_0|> <|body_start_1|> if not root: return cur_sum += root.val diff = cur_sum - sum if diff in prefix_sum: count[0] += prefix_sum[diff] if diff...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def pathSum(self, root, sum): """Brute force: two dfs, O(n^2) Prefix sum in Tree, starting from root - O(n) :type root: TreeNode :type sum: int :rtype: int""" <|body_0|> def dfs(self, root, sum, cur_sum, prefix_sum, count): """Root to node sum prefix_sum: D...

stack_v2_sparse_classes_36k_train_009188

1,573

permissive

[ { "docstring": "Brute force: two dfs, O(n^2) Prefix sum in Tree, starting from root - O(n) :type root: TreeNode :type sum: int :rtype: int", "name": "pathSum", "signature": "def pathSum(self, root, sum)" }, { "docstring": "Root to node sum prefix_sum: Dict[int, int], sum -> count", "name": "...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def pathSum(self, root, sum): Brute force: two dfs, O(n^2) Prefix sum in Tree, starting from root - O(n) :type root: TreeNode :type sum: int :rtype: int - def dfs(self, root, sum...

cbbd4a67ab342ada2421e13f82d660b1d47d4d20

<|skeleton|> class Solution: def pathSum(self, root, sum): """Brute force: two dfs, O(n^2) Prefix sum in Tree, starting from root - O(n) :type root: TreeNode :type sum: int :rtype: int""" <|body_0|> def dfs(self, root, sum, cur_sum, prefix_sum, count): """Root to node sum prefix_sum: D...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def pathSum(self, root, sum): """Brute force: two dfs, O(n^2) Prefix sum in Tree, starting from root - O(n) :type root: TreeNode :type sum: int :rtype: int""" count = [0] self.dfs(root, sum, 0, {}, count) return count[0] def dfs(self, root, sum, cur_sum, prefix_s...

the_stack_v2_python_sparse

437 Path Sum III.py

Aminaba123/LeetCode

train

1

636de2deb80c00a9eb846a12d37770d6653bccc8

[ "query = '\\n INSERT IGNORE INTO yara_signature_references\\n VALUES (%(blob_id)s, %(username_hash)s, NOW(6))\\n '\nargs = {'blob_id': blob_id.AsBytes(), 'username_hash': mysql_utils.Hash(username)}\ntry:\n cursor.execute(query, args)\nexcept MySQLdb.IntegrityError:\n raise db.UnknownGRRUserError(use...

<|body_start_0|> query = '\n INSERT IGNORE INTO yara_signature_references\n VALUES (%(blob_id)s, %(username_hash)s, NOW(6))\n ' args = {'blob_id': blob_id.AsBytes(), 'username_hash': mysql_utils.Hash(username)} try: cursor.execute(query, args) except MySQLdb.Integrit...

A MySQL database mixin class with YARA-related methods.

MySQLDBYaraMixin

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MySQLDBYaraMixin: """A MySQL database mixin class with YARA-related methods.""" def WriteYaraSignatureReference(self, blob_id: rdf_objects.BlobID, username: Text, cursor: MySQLdb.cursors.Cursor) -> None: """Marks specified blob id as a YARA signature.""" <|body_0|> def V...

stack_v2_sparse_classes_36k_train_009189

1,462

permissive

[ { "docstring": "Marks specified blob id as a YARA signature.", "name": "WriteYaraSignatureReference", "signature": "def WriteYaraSignatureReference(self, blob_id: rdf_objects.BlobID, username: Text, cursor: MySQLdb.cursors.Cursor) -> None" }, { "docstring": "Verifies whether specified blob is a ...

2

stack_v2_sparse_classes_30k_train_007960

Implement the Python class `MySQLDBYaraMixin` described below. Class description: A MySQL database mixin class with YARA-related methods. Method signatures and docstrings: - def WriteYaraSignatureReference(self, blob_id: rdf_objects.BlobID, username: Text, cursor: MySQLdb.cursors.Cursor) -> None: Marks specified blob...

44c0eb8c938302098ef7efae8cfd6b90bcfbb2d6

<|skeleton|> class MySQLDBYaraMixin: """A MySQL database mixin class with YARA-related methods.""" def WriteYaraSignatureReference(self, blob_id: rdf_objects.BlobID, username: Text, cursor: MySQLdb.cursors.Cursor) -> None: """Marks specified blob id as a YARA signature.""" <|body_0|> def V...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MySQLDBYaraMixin: """A MySQL database mixin class with YARA-related methods.""" def WriteYaraSignatureReference(self, blob_id: rdf_objects.BlobID, username: Text, cursor: MySQLdb.cursors.Cursor) -> None: """Marks specified blob id as a YARA signature.""" query = '\n INSERT IGNORE INTO ...

the_stack_v2_python_sparse

grr/server/grr_response_server/databases/mysql_yara.py

google/grr

train

4,683

86a57d39d6c54d2fc56428001b7912a1c554b6e4

[ "def parse_string(pattern):\n d = {}\n count = 0\n digits_pattern = ''\n for p in pattern:\n if p in d:\n digits_pattern += d[p]\n else:\n digits_pattern += str(count)\n d[p] = str(count)\n count += 1\n return digits_pattern\nreturn parse_stri...

<|body_start_0|> def parse_string(pattern): d = {} count = 0 digits_pattern = '' for p in pattern: if p in d: digits_pattern += d[p] else: digits_pattern += str(count) d[p]...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009190

1,713

no_license

[ { "docstring": ":type pattern: str :type str: str :rtype: bool", "name": "wordPattern", "signature": "def wordPattern(self, pattern, strs)" }, { "docstring": ":type pattern: str :type str: str :rtype: bool", "name": "wordPattern1", "signature": "def wordPattern1(self, pattern, str)" } ...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordPattern(self, pattern, strs): :type pattern: str :type str: str :rtype: bool - def wordPattern1(self, pattern, str): :type pattern: str :type str: str :rtype: bool

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordPattern(self, pattern, strs): :type pattern: str :type str: str :rtype: bool - def wordPattern1(self, pattern, str): :type pattern: str :type str: str :rtype: bool <|ske...

857b8c7fccfe8216da59228c1cf3675444855673

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wordPattern(self, pattern, strs): """:type pattern: str :type str: str :rtype: bool""" def parse_string(pattern): d = {} count = 0 digits_pattern = '' for p in pattern: if p in d: digits_pattern +...

the_stack_v2_python_sparse

algorithm/Word-Pattern.py

atashi/LLL

train

0

c47ffbcd8a6e1bfa57fed31ba19d1a05585ef46c

[ "if isinstance(db_value, (int, long, float)):\n return datetime.datetime.fromtimestamp(db_value)\nelse:\n return super(TimestampColumn, self).dbRestore(db_value, context=context)", "if isinstance(py_value, datetime.datetime):\n return time.mktime(py_value.timetuple())\nelse:\n return super(TimestampCo...

TimestampColumn

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TimestampColumn: def dbRestore(self, db_value, context=None): """Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None""" <|body_0|> def dbStore(self, typ, py_value): """Converts the value to one that is safe to sto...

stack_v2_sparse_classes_36k_train_009191

16,562

permissive

[ { "docstring": "Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None", "name": "dbRestore", "signature": "def dbRestore(self, db_value, context=None)" }, { "docstring": "Converts the value to one that is safe to store on a record within the re...

3

null

Implement the Python class `TimestampColumn` described below. Class description: Implement the TimestampColumn class. Method signatures and docstrings: - def dbRestore(self, db_value, context=None): Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None - def dbStore...

575be2689cb269e65a0a2678232ff940acc19e5a

<|skeleton|> class TimestampColumn: def dbRestore(self, db_value, context=None): """Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None""" <|body_0|> def dbStore(self, typ, py_value): """Converts the value to one that is safe to sto...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TimestampColumn: def dbRestore(self, db_value, context=None): """Restores the value from a table cache for usage. :param value | <variant> context | <orb.Context> || None""" if isinstance(db_value, (int, long, float)): return datetime.datetime.fromtimestamp(db_value) else: ...

the_stack_v2_python_sparse

orb/core/column_types/dtime.py

orb-framework/orb

train

7

81a9aaa7e895b7392578d1482bbb04eb88afae05

[ "users = User.objects.filter(username__iexact=self.cleaned_data['username'])\nif not users:\n return self.cleaned_data['username']\nraise forms.ValidationError(_(u'该用户名已经注册'))", "emails = User.objects.filter(email__iexact=self.cleaned_data['email'])\nif not emails:\n return self.cleaned_data['email']\nraise...

RegisterForm

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009192

5,159

no_license

[ { "docstring": "验证重复昵称", "name": "clean_username", "signature": "def clean_username(self)" }, { "docstring": "验证重复email", "name": "clean_email", "signature": "def clean_email(self)" } ]

2

null

Implement the Python class `RegisterForm` described below. Class description: Implement the RegisterForm class. Method signatures and docstrings: - def clean_username(self): 验证重复昵称 - def clean_email(self): 验证重复email

Implement the Python class `RegisterForm` described below. Class description: Implement the RegisterForm class. Method signatures and docstrings: - def clean_username(self): 验证重复昵称 - def clean_email(self): 验证重复email <|skeleton|> class RegisterForm: def clean_username(self): """验证重复昵称""" <|body_0...

f5877567b6d7a0e3ab9895416ea95d02f3b572a4

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RegisterForm: def clean_username(self): """验证重复昵称""" users = User.objects.filter(username__iexact=self.cleaned_data['username']) if not users: return self.cleaned_data['username'] raise forms.ValidationError(_(u'该用户名已经注册')) def clean_email(self): """验证重...

the_stack_v2_python_sparse

accounts/forms.py

sj741231/stockstar-vsa

train

0

ec0b4f55127dd62f571acb7541b3adabe5bbad49

[ "super().__init__(name=name)\nself._embedding_dim = embedding_dim\nif number_of_dom_encoder_layers < 0:\n raise ValueError('Number of DOM encoder layers should be > 0 but got %d' % number_of_dom_encoder_layers)\nif number_of_profile_encoder_layers < 0:\n raise ValueError('Number of profile encoder layers shou...

<|body_start_0|> super().__init__(name=name) self._embedding_dim = embedding_dim if number_of_dom_encoder_layers < 0: raise ValueError('Number of DOM encoder layers should be > 0 but got %d' % number_of_dom_encoder_layers) if number_of_profile_encoder_layers < 0: ...

Feed forward DQN for web navigation.

DQNWebFF

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class DQNWebFF: """Feed forward DQN for web navigation.""" def __init__(self, vocab_size, embedding_dim, latent_dim, number_of_dom_encoder_layers=1, number_of_profile_encoder_layers=1, embedding_initializer=None, profile_value_dropout=0.0, use_select_option_dim=False, name=None, return_state_value...

stack_v2_sparse_classes_36k_train_009193

21,865

permissive

[ { "docstring": "DQN with feed forward DOM encoder. Profile and DOM are independently encoded into tensors where profile tensor represents field encodings while DOM tensor represents element encodings. These two tensors are used score every element and field pairs. Scores correspond to Q values in DQN or logits ...

2

stack_v2_sparse_classes_30k_train_013868

Implement the Python class `DQNWebFF` described below. Class description: Feed forward DQN for web navigation. Method signatures and docstrings: - def __init__(self, vocab_size, embedding_dim, latent_dim, number_of_dom_encoder_layers=1, number_of_profile_encoder_layers=1, embedding_initializer=None, profile_value_dro...

5573d9c5822f4e866b6692769963ae819cb3f10d

<|skeleton|> class DQNWebFF: """Feed forward DQN for web navigation.""" def __init__(self, vocab_size, embedding_dim, latent_dim, number_of_dom_encoder_layers=1, number_of_profile_encoder_layers=1, embedding_initializer=None, profile_value_dropout=0.0, use_select_option_dim=False, name=None, return_state_value...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DQNWebFF: """Feed forward DQN for web navigation.""" def __init__(self, vocab_size, embedding_dim, latent_dim, number_of_dom_encoder_layers=1, number_of_profile_encoder_layers=1, embedding_initializer=None, profile_value_dropout=0.0, use_select_option_dim=False, name=None, return_state_value=False): ...

the_stack_v2_python_sparse

compositional_rl/gwob/CoDE/q_networks.py

Jimmy-INL/google-research

train

1

210c1f1df88fd0a9dca4f1280da90594e3d6ff93

[ "Init.__init__(self, *args, **kwargs)\nself._negative = negative\nself._parameter = parameter\nself._scale = scale\nself._obs = EarthLocation.of_site(obs)\nself._kind = kind", "if not os.path.exists(filename):\n self.log.error('Give file %s for extracting coordinates does not exist, skipping.', filename)\n ...

Initializes a component from the heliocentric correction calculated for RA/Dec given in the FITS headers. This class, when called, initializes a single parameter (the radial velocity, default to "v") of the given component with the heliocentric correction calculated from RA/DEC/DATE-OBS in the given file.

InitFromVhelio

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class InitFromVhelio: """Initializes a component from the heliocentric correction calculated for RA/Dec given in the FITS headers. This class, when called, initializes a single parameter (the radial velocity, default to "v") of the given component with the heliocentric correction calculated from RA/DEC...

stack_v2_sparse_classes_36k_train_009194

2,738

permissive

[ { "docstring": "Initializes a new Init object. Args: negative: If True, uses the negative of the calculated correction. parameter: Name of the parameter in the component to set. scale: Time scale to use for DATE-OBS. obs: Observatory to use for calculating correction. kind: Either barycentric or heliocentric.",...

2

stack_v2_sparse_classes_30k_train_006879

Implement the Python class `InitFromVhelio` described below. Class description: Initializes a component from the heliocentric correction calculated for RA/Dec given in the FITS headers. This class, when called, initializes a single parameter (the radial velocity, default to "v") of the given component with the helioce...

648eb1758e3744d9e3d6669edc4a0c4753559f17

<|skeleton|> class InitFromVhelio: """Initializes a component from the heliocentric correction calculated for RA/Dec given in the FITS headers. This class, when called, initializes a single parameter (the radial velocity, default to "v") of the given component with the heliocentric correction calculated from RA/DEC...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class InitFromVhelio: """Initializes a component from the heliocentric correction calculated for RA/Dec given in the FITS headers. This class, when called, initializes a single parameter (the radial velocity, default to "v") of the given component with the heliocentric correction calculated from RA/DEC/DATE-OBS in ...

the_stack_v2_python_sparse

spexxy/init/fromvhelio.py

thusser/spexxy

train

4

5635f44223ddf0dac7eb1f44481d61c83fb4294e

[ "super().__init__(s3_client)\nself.big_query_instance = big_query_instance or MavenBigQuery()\nself.big_query_content = list()\nself.counter = Counter()\nself.bucket_name = self.s3_client.bucket_name if self.s3_client else 'developer-analytics-audit-report'\nself.filename = '{}/big-query-data/{}'.format(os.getenv('...

<|body_start_0|> super().__init__(s3_client) self.big_query_instance = big_query_instance or MavenBigQuery() self.big_query_content = list() self.counter = Counter() self.bucket_name = self.s3_client.bucket_name if self.s3_client else 'developer-analytics-audit-report' se...

Implementation data processing for maven bigquery.

MavenBQDataProcessing

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MavenBQDataProcessing: """Implementation data processing for maven bigquery.""" def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'): """Initialize the BigQueryDataProcessing object.""" <|body_0|> def process(self): """Process Ma...

stack_v2_sparse_classes_36k_train_009195

3,782

permissive

[ { "docstring": "Initialize the BigQueryDataProcessing object.", "name": "__init__", "signature": "def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json')" }, { "docstring": "Process Maven Bigquery response data.", "name": "process", "signature": "def proces...

3

stack_v2_sparse_classes_30k_train_000766

Implement the Python class `MavenBQDataProcessing` described below. Class description: Implementation data processing for maven bigquery. Method signatures and docstrings: - def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'): Initialize the BigQueryDataProcessing object. - def proc...

98f5d8f6e402dfed3b9ba9385040eacbb0a12bc3

<|skeleton|> class MavenBQDataProcessing: """Implementation data processing for maven bigquery.""" def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'): """Initialize the BigQueryDataProcessing object.""" <|body_0|> def process(self): """Process Ma...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MavenBQDataProcessing: """Implementation data processing for maven bigquery.""" def __init__(self, big_query_instance=None, s3_client=None, file_name='collated.json'): """Initialize the BigQueryDataProcessing object.""" super().__init__(s3_client) self.big_query_instance = big_que...

the_stack_v2_python_sparse

rudra/data_store/bigquery/maven_bigquery.py

fabric8-analytics/fabric8-analytics-rudra

train

3

fdccf5112edf9abfcad0f0fc6171f4a2c249851b

[ "self._env = env\nself._epsilon = kwargs['epsilon']\nself._mu_plus = kwargs['mu_plus']\nself._mu_minus = kwargs['mu_minus']\nself._action_tolerance = kwargs['action_tolerance']\nself._environment = None", "expert_action = self._env.expert()\nif self._env.action_space.discrete:\n is_correct = expert_action == a...

A multi-task teacher which gives feedback according to the SABL model. Actions are considered correct if they match the expert's sampled action for the current state.

Teacher

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Teacher: """A multi-task teacher which gives feedback according to the SABL model. Actions are considered correct if they match the expert's sampled action for the current state.""" def __init__(self, env, **kwargs): """Initializes the teacher, but does not assign it to a specific en...

stack_v2_sparse_classes_36k_train_009196

3,072

no_license

[ { "docstring": "Initializes the teacher, but does not assign it to a specific environment. :param kwargs: the configuration parameters", "name": "__init__", "signature": "def __init__(self, env, **kwargs)" }, { "docstring": "Gets feedback for the given action. Feedback depends on the current sta...

2

stack_v2_sparse_classes_30k_train_000094

Implement the Python class `Teacher` described below. Class description: A multi-task teacher which gives feedback according to the SABL model. Actions are considered correct if they match the expert's sampled action for the current state. Method signatures and docstrings: - def __init__(self, env, **kwargs): Initial...

381c019a3c930d943672a65ae651e5a4f52686f8

<|skeleton|> class Teacher: """A multi-task teacher which gives feedback according to the SABL model. Actions are considered correct if they match the expert's sampled action for the current state.""" def __init__(self, env, **kwargs): """Initializes the teacher, but does not assign it to a specific en...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Teacher: """A multi-task teacher which gives feedback according to the SABL model. Actions are considered correct if they match the expert's sampled action for the current state.""" def __init__(self, env, **kwargs): """Initializes the teacher, but does not assign it to a specific environment. :p...

the_stack_v2_python_sparse

feedback/teachers/sabl.py

rtloftin/HAL

train

0

8c71fcca09d6bee9c8df0998162ccbaf03d788c3

[ "errors = []\nif not HAS_TEXTFSM:\n errors.append(missing_required_lib('textfsm'))\nreturn {'errors': errors}", "cli_output = self._task_args.get('text')\nres = self._check_reqs()\nif res.get('errors'):\n return {'errors': res.get('errors')}\ntemplate_path = self._task_args.get('parser').get('template_path'...

<|body_start_0|> errors = [] if not HAS_TEXTFSM: errors.append(missing_required_lib('textfsm')) return {'errors': errors} <|end_body_0|> <|body_start_1|> cli_output = self._task_args.get('text') res = self._check_reqs() if res.get('errors'): retur...

The textfsm parser class Convert raw text to structured data using textfsm

CliParser

[ "GPL-3.0-only", "LicenseRef-scancode-unknown-license-reference", "GPL-3.0-or-later", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CliParser: """The textfsm parser class Convert raw text to structured data using textfsm""" def _check_reqs(): """Check the prerequisites for the textfsm parser :return dict: A dict with errors or a template_path""" <|body_0|> def parse(self, *_args, **_kwargs): ...

stack_v2_sparse_classes_36k_train_009197

3,264

permissive

[ { "docstring": "Check the prerequisites for the textfsm parser :return dict: A dict with errors or a template_path", "name": "_check_reqs", "signature": "def _check_reqs()" }, { "docstring": "Std entry point for a cli_parse parse execution :return: Errors or parsed text as structured data :rtype...

2

stack_v2_sparse_classes_30k_train_010566

Implement the Python class `CliParser` described below. Class description: The textfsm parser class Convert raw text to structured data using textfsm Method signatures and docstrings: - def _check_reqs(): Check the prerequisites for the textfsm parser :return dict: A dict with errors or a template_path - def parse(se...

2ea7d4f00212f502bc684ac257371ada73da1ca9

<|skeleton|> class CliParser: """The textfsm parser class Convert raw text to structured data using textfsm""" def _check_reqs(): """Check the prerequisites for the textfsm parser :return dict: A dict with errors or a template_path""" <|body_0|> def parse(self, *_args, **_kwargs): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CliParser: """The textfsm parser class Convert raw text to structured data using textfsm""" def _check_reqs(): """Check the prerequisites for the textfsm parser :return dict: A dict with errors or a template_path""" errors = [] if not HAS_TEXTFSM: errors.append(missing...

the_stack_v2_python_sparse

intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/ansible/utils/plugins/sub_plugins/cli_parser/textfsm_parser.py

SimonFangCisco/dne-dna-code

train

0

29666ceeb7ad8b049896dac71ecf612edb5778d0

[ "data = db.Db()\nresult = data.getCartridgesByState(state_id)\nresp.status = falcon.HTTP_200\nresp.content_type = falcon.MEDIA_TEXT\nresp.text = result", "param = req.media\naction = int(param['action'])\ndata = db.Db()\nif action == 0:\n result = data.changeCartridgeState(param)\n resp.status = falcon.HTTP...

CartridgeState

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_009198

850

no_license

[ { "docstring": "handle get request", "name": "on_get", "signature": "def on_get(self, req, resp, state_id)" }, { "docstring": "handle post", "name": "on_post", "signature": "def on_post(self, req, resp)" } ]

2

stack_v2_sparse_classes_30k_val_000660

Implement the Python class `CartridgeState` described below. Class description: Implement the CartridgeState class. Method signatures and docstrings: - def on_get(self, req, resp, state_id): handle get request - def on_post(self, req, resp): handle post

Implement the Python class `CartridgeState` described below. Class description: Implement the CartridgeState class. Method signatures and docstrings: - def on_get(self, req, resp, state_id): handle get request - def on_post(self, req, resp): handle post <|skeleton|> class CartridgeState: def on_get(self, req, r...

529e9a0c66a6c7021224a2daf60f378f01164ca5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CartridgeState: def on_get(self, req, resp, state_id): """handle get request""" data = db.Db() result = data.getCartridgesByState(state_id) resp.status = falcon.HTTP_200 resp.content_type = falcon.MEDIA_TEXT resp.text = result def on_post(self, req, resp): ...

the_stack_v2_python_sparse

answers/cartridge_state.py

Logsod/noti_rest_server

train

0

e2e4ca18f119d1ffacd8311ccd815d3137dec97f

[ "n = len(nums)\n_sum = sum(nums)\nif _sum % 2 != 0:\n return False\ntarget = _sum // 2\ndp = [[False] * (target + 1) for _ in range(n)]\nfor i in range(0, n):\n if nums[i] > target:\n continue\n dp[i][nums[i]] = True\n if i == 0:\n continue\n for j in range(target + 1):\n if j >=...

<|body_start_0|> n = len(nums) _sum = sum(nums) if _sum % 2 != 0: return False target = _sum // 2 dp = [[False] * (target + 1) for _ in range(n)] for i in range(0, n): if nums[i] > target: continue dp[i][nums[i]] = True ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def canPartition(self, nums: List[int]) -> bool: """LC 416 Partition Equal Subset Sum Tim complexity: O(N * max(nums)) difficulty: medium Args: nums (List[int]): [description] Returns: bool: [description]""" <|body_0|> def canPartition(self, nums: List[int]) -> boo...

stack_v2_sparse_classes_36k_train_009199

1,505

no_license

[ { "docstring": "LC 416 Partition Equal Subset Sum Tim complexity: O(N * max(nums)) difficulty: medium Args: nums (List[int]): [description] Returns: bool: [description]", "name": "canPartition", "signature": "def canPartition(self, nums: List[int]) -> bool" }, { "docstring": "Space optimization ...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def canPartition(self, nums: List[int]) -> bool: LC 416 Partition Equal Subset Sum Tim complexity: O(N * max(nums)) difficulty: medium Args: nums (List[int]): [description] Retur...

89b6c180bb772978b6646131f9734b122e745f9c

<|skeleton|> class Solution: def canPartition(self, nums: List[int]) -> bool: """LC 416 Partition Equal Subset Sum Tim complexity: O(N * max(nums)) difficulty: medium Args: nums (List[int]): [description] Returns: bool: [description]""" <|body_0|> def canPartition(self, nums: List[int]) -> boo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def canPartition(self, nums: List[int]) -> bool: """LC 416 Partition Equal Subset Sum Tim complexity: O(N * max(nums)) difficulty: medium Args: nums (List[int]): [description] Returns: bool: [description]""" n = len(nums) _sum = sum(nums) if _sum % 2 != 0: ...

the_stack_v2_python_sparse

dp/python/partition-equal-subset-sum.py

dyf102/LC-daily

train

2