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

c7e36edd24db6319dd4e0d8dcf0c2dd532a7ca9d

[ "req_parser = RequestParser()\nreq_parser.add_argument('target', type=parser.article_id, required=True, location='json')\nreq_parser.add_argument('Trace', type=inputs.regex('^.+$'), required=False, location='headers')\nargs = req_parser.parse_args()\ntarget = args.target\nif args.Trace:\n article = cache_article...

<|body_start_0|> req_parser = RequestParser() req_parser.add_argument('target', type=parser.article_id, required=True, location='json') req_parser.add_argument('Trace', type=inputs.regex('^.+$'), required=False, location='headers') args = req_parser.parse_args() target = args.tar...

文章收藏

CollectionListResource

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003800

3,971

no_license

[ { "docstring": "用户收藏文章", "name": "post", "signature": "def post(self)" }, { "docstring": "获取用户的收藏历史", "name": "get", "signature": "def get(self)" } ]

2

stack_v2_sparse_classes_30k_train_014144

Implement the Python class `CollectionListResource` described below. Class description: 文章收藏 Method signatures and docstrings: - def post(self): 用户收藏文章 - def get(self): 获取用户的收藏历史

Implement the Python class `CollectionListResource` described below. Class description: 文章收藏 Method signatures and docstrings: - def post(self): 用户收藏文章 - def get(self): 获取用户的收藏历史 <|skeleton|> class CollectionListResource: """文章收藏""" def post(self): """用户收藏文章""" <|body_0|> def get(self):...

12b52f21a4ec20b4853870468c28d2385dc185a8

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CollectionListResource: """文章收藏""" def post(self): """用户收藏文章""" req_parser = RequestParser() req_parser.add_argument('target', type=parser.article_id, required=True, location='json') req_parser.add_argument('Trace', type=inputs.regex('^.+$'), required=False, location='head...

the_stack_v2_python_sparse

flask_prj/tbd_42/toutiao/resources/news/collection.py

123wuyu/demo_prj

train

1

f929426df3250d243e1f3ca8f9d89dfdc19ea536

[ "Model = model_admin.model\nmeta_name = '%smetadata' % Model._meta.object_name\nct = ContentType.objects.get(app_label='django_models_from_csv', model=meta_name)\ntags = Tag.objects.filter(taggit_taggeditem_items__content_type=ct).values_list('name', 'slug').distinct()\nreturn tags", "value = self.value()\nif not...

<|body_start_0|> Model = model_admin.model meta_name = '%smetadata' % Model._meta.object_name ct = ContentType.objects.get(app_label='django_models_from_csv', model=meta_name) tags = Tag.objects.filter(taggit_taggeditem_items__content_type=ct).values_list('name', 'slug').distinct() ...

A custom filterable for tags. Restricts the displayed tags by the current data source, even though tags are global.

TagListFilter

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TagListFilter: """A custom filterable for tags. Restricts the displayed tags by the current data source, even though tags are global.""" def lookups(self, request, model_admin): """Returns a list of tuples. The first element in each tuple is the coded value for the option that will a...

stack_v2_sparse_classes_36k_train_003801

1,641

permissive

[ { "docstring": "Returns a list of tuples. The first element in each tuple is the coded value for the option that will appear in the URL query. The second element is the human-readable name for the option that will appear in the right sidebar.", "name": "lookups", "signature": "def lookups(self, request,...

2

stack_v2_sparse_classes_30k_train_011105

Implement the Python class `TagListFilter` described below. Class description: A custom filterable for tags. Restricts the displayed tags by the current data source, even though tags are global. Method signatures and docstrings: - def lookups(self, request, model_admin): Returns a list of tuples. The first element in...

6fa1592a83100fe414b84e4dab58e90d7855309b

<|skeleton|> class TagListFilter: """A custom filterable for tags. Restricts the displayed tags by the current data source, even though tags are global.""" def lookups(self, request, model_admin): """Returns a list of tuples. The first element in each tuple is the coded value for the option that will a...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TagListFilter: """A custom filterable for tags. Restricts the displayed tags by the current data source, even though tags are global.""" def lookups(self, request, model_admin): """Returns a list of tuples. The first element in each tuple is the coded value for the option that will appear in the ...

the_stack_v2_python_sparse

collaborative/filters.py

propublica/django-collaborative

train

94

60d04075d4949389c17eef2588fc43b016cc6be9

[ "if isinstance(value, (str, type(None))):\n return value\nassert isinstance(value, bytes)\ntry:\n return str(value, 'utf8')\nexcept:\n return value.encode('utf8').decode('utf8')", "if self.table:\n return\nself.table = {}\nfp = open(os.path.join(os.path.dirname(__file__), 'Mandarin.dat'))\nlines = fp....

docstring for Pinyin

Pinyin

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Pinyin: """docstring for Pinyin""" def to_unicode(self, value): """Converts a string argument to a unicode string. If the argument is already a unicode string or None, it is returned unchanged. Otherwise it must be a byte string and is decoded as utf8.""" <|body_0|> def ...

stack_v2_sparse_classes_36k_train_003802

1,930

no_license

[ { "docstring": "Converts a string argument to a unicode string. If the argument is already a unicode string or None, it is returned unchanged. Otherwise it must be a byte string and is decoded as utf8.", "name": "to_unicode", "signature": "def to_unicode(self, value)" }, { "docstring": "docstrin...

4

stack_v2_sparse_classes_30k_train_012273

Implement the Python class `Pinyin` described below. Class description: docstring for Pinyin Method signatures and docstrings: - def to_unicode(self, value): Converts a string argument to a unicode string. If the argument is already a unicode string or None, it is returned unchanged. Otherwise it must be a byte strin...

49c31d9cce6ca451ff069697913b33fe55028a46

<|skeleton|> class Pinyin: """docstring for Pinyin""" def to_unicode(self, value): """Converts a string argument to a unicode string. If the argument is already a unicode string or None, it is returned unchanged. Otherwise it must be a byte string and is decoded as utf8.""" <|body_0|> def ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Pinyin: """docstring for Pinyin""" def to_unicode(self, value): """Converts a string argument to a unicode string. If the argument is already a unicode string or None, it is returned unchanged. Otherwise it must be a byte string and is decoded as utf8.""" if isinstance(value, (str, type(N...

the_stack_v2_python_sparse

PaiDuiGuanJia/yiyun/libs/pinyin.py

haoweiking/image_tesseract_private

train

0

06c057d823f465f35db05fe4c4e5371cbcf74dca

[ "self.subarray_beam_id = subarray_beam_id\nself.station_ids = station_ids\nself.channels = channels\nself.update_rate = update_rate\nself.target = target\nself.antenna_weights = antenna_weights\nself.phase_centre = phase_centre", "if not isinstance(other, SubarrayBeamConfiguration):\n return False\nreturn self...

<|body_start_0|> self.subarray_beam_id = subarray_beam_id self.station_ids = station_ids self.channels = channels self.update_rate = update_rate self.target = target self.antenna_weights = antenna_weights self.phase_centre = phase_centre <|end_body_0|> <|body_sta...

A class to hold subarray_beam configuration attributes

SubarrayBeamConfiguration

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SubarrayBeamConfiguration: """A class to hold subarray_beam configuration attributes""" def __init__(self, subarray_beam_id: int, station_ids: List[int], channels: List[List[int]], update_rate: float, target: SubarrayBeamTarget, antenna_weights: List[float], phase_centre: List[float]): ...

stack_v2_sparse_classes_36k_train_003803

5,858

permissive

[ { "docstring": "Initialise the station beam configuration. :param subarray_beam_id: stationbeam's id :type subarray_beam_id: int :param station_ids: station id's :type station_ids: List[int] :param channels: channels to form station beam :type channels: List[Tuple] :param update_rate: frequency of new Az/El dur...

2

stack_v2_sparse_classes_30k_val_000913

Implement the Python class `SubarrayBeamConfiguration` described below. Class description: A class to hold subarray_beam configuration attributes Method signatures and docstrings: - def __init__(self, subarray_beam_id: int, station_ids: List[int], channels: List[List[int]], update_rate: float, target: SubarrayBeamTar...

87083655aca8f8f53a26dba253a0189d8519714b

<|skeleton|> class SubarrayBeamConfiguration: """A class to hold subarray_beam configuration attributes""" def __init__(self, subarray_beam_id: int, station_ids: List[int], channels: List[List[int]], update_rate: float, target: SubarrayBeamTarget, antenna_weights: List[float], phase_centre: List[float]): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SubarrayBeamConfiguration: """A class to hold subarray_beam configuration attributes""" def __init__(self, subarray_beam_id: int, station_ids: List[int], channels: List[List[int]], update_rate: float, target: SubarrayBeamTarget, antenna_weights: List[float], phase_centre: List[float]): """Initial...

the_stack_v2_python_sparse

src/ska_tmc_cdm/messages/subarray_node/configure/mccs.py

ska-telescope/cdm-shared-library

train

0

5e53856906b22ba704b770636f090eef27fa3426

[ "q = [root]\nhead = 0\ntail = 1\nresult = []\nwhile head < tail:\n node = q[head]\n if node == None:\n result.append('null')\n else:\n result.append(node.val)\n q.append(node.left)\n q.append(node.right)\n tail += 2\n head += 1\nreturn ','.join(result)", "s = data.sp...

<|body_start_0|> q = [root] head = 0 tail = 1 result = [] while head < tail: node = q[head] if node == None: result.append('null') else: result.append(node.val) q.append(node.left) ...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003804

1,642

no_license

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

2

stack_v2_sparse_classes_30k_train_003909

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

6ce22264a9c34d6addf4eff4c196105eec12b113

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root): """Encodes a tree to a single string. :type root: TreeNode :rtype: str""" q = [root] head = 0 tail = 1 result = [] while head < tail: node = q[head] if node == None: result.append('null') ...

the_stack_v2_python_sparse

Serialize_and_Deserialize_Binary_Tree.py

zhubw91/Leetcode

train

0

d26c3ef7075b4c7478bad9dfad44236f97461082

[ "assert isinstance(min_bound, float) or isinstance(min_bound, int) or isinstance(min_bound, torch.Tensor) or (min_bound is None)\nassert isinstance(max_bound, float) or isinstance(max_bound, int) or isinstance(max_bound, torch.Tensor) or (max_bound is None)\nself.min_bound = min_bound\n' (float) Minimum bound. '\ns...

<|body_start_0|> assert isinstance(min_bound, float) or isinstance(min_bound, int) or isinstance(min_bound, torch.Tensor) or (min_bound is None) assert isinstance(max_bound, float) or isinstance(max_bound, int) or isinstance(max_bound, torch.Tensor) or (max_bound is None) self.min_bound = min_bo...

Projection onto a box defined by minimum and maximum.

BoxProjection

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BoxProjection: """Projection onto a box defined by minimum and maximum.""" def __init__(self, min_bound=0, max_bound=1): """Constructor. :param min_bound: minimum bound :param min_bound: float :param max_bound: maximum bound :type: max_bound: float""" <|body_0|> def __ca...

stack_v2_sparse_classes_36k_train_003805

6,999

no_license

[ { "docstring": "Constructor. :param min_bound: minimum bound :param min_bound: float :param max_bound: maximum bound :type: max_bound: float", "name": "__init__", "signature": "def __init__(self, min_bound=0, max_bound=1)" }, { "docstring": "Projection. :param images: images :type images: torch....

2

stack_v2_sparse_classes_30k_train_001244

Implement the Python class `BoxProjection` described below. Class description: Projection onto a box defined by minimum and maximum. Method signatures and docstrings: - def __init__(self, min_bound=0, max_bound=1): Constructor. :param min_bound: minimum bound :param min_bound: float :param max_bound: maximum bound :t...

736c99b55a77d0c650eae5ced2d8312d13af0baf

<|skeleton|> class BoxProjection: """Projection onto a box defined by minimum and maximum.""" def __init__(self, min_bound=0, max_bound=1): """Constructor. :param min_bound: minimum bound :param min_bound: float :param max_bound: maximum bound :type: max_bound: float""" <|body_0|> def __ca...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BoxProjection: """Projection onto a box defined by minimum and maximum.""" def __init__(self, min_bound=0, max_bound=1): """Constructor. :param min_bound: minimum bound :param min_bound: float :param max_bound: maximum bound :type: max_bound: float""" assert isinstance(min_bound, float) o...

the_stack_v2_python_sparse

attacks/projections.py

Adversarial-Intelligence-Group/color-adversarial-training

train

0

29d08c57f2f54c97aa5b92fb5f0cd831617452ff

[ "valid, message = json_validate(enum, {'type': 'object', 'properties': {'enumeration': {'type': 'array', 'items': {'anyOf': [{'type': 'string'}, {'$ref': '#/pScheduler/Number'}]}}, 'invert': {'$ref': '#/pScheduler/Boolean'}}, 'additionalProperties': False, 'required': ['enumeration']})\nif not valid:\n raise Val...

<|body_start_0|> valid, message = json_validate(enum, {'type': 'object', 'properties': {'enumeration': {'type': 'array', 'items': {'anyOf': [{'type': 'string'}, {'$ref': '#/pScheduler/Number'}]}}, 'invert': {'$ref': '#/pScheduler/Boolean'}}, 'additionalProperties': False, 'required': ['enumeration']}) i...

Class that matches an enumeration.

EnumMatcher

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EnumMatcher: """Class that matches an enumeration.""" def __init__(self, enum): """Construct a matcher. The 'enum' argument is a dict that conforms to an EnumMatch as described in the pScheduler JSON Style Guide and Type Dictionary.""" <|body_0|> def __contains(self, enu...

stack_v2_sparse_classes_36k_train_003806

2,562

permissive

[ { "docstring": "Construct a matcher. The 'enum' argument is a dict that conforms to an EnumMatch as described in the pScheduler JSON Style Guide and Type Dictionary.", "name": "__init__", "signature": "def __init__(self, enum)" }, { "docstring": "Scan each element in the input enumeration and ma...

3

stack_v2_sparse_classes_30k_test_000875

Implement the Python class `EnumMatcher` described below. Class description: Class that matches an enumeration. Method signatures and docstrings: - def __init__(self, enum): Construct a matcher. The 'enum' argument is a dict that conforms to an EnumMatch as described in the pScheduler JSON Style Guide and Type Dictio...

f6d04c0455e5be4d490df16ec1acb377f9025d9f

<|skeleton|> class EnumMatcher: """Class that matches an enumeration.""" def __init__(self, enum): """Construct a matcher. The 'enum' argument is a dict that conforms to an EnumMatch as described in the pScheduler JSON Style Guide and Type Dictionary.""" <|body_0|> def __contains(self, enu...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EnumMatcher: """Class that matches an enumeration.""" def __init__(self, enum): """Construct a matcher. The 'enum' argument is a dict that conforms to an EnumMatch as described in the pScheduler JSON Style Guide and Type Dictionary.""" valid, message = json_validate(enum, {'type': 'object...

the_stack_v2_python_sparse

python-pscheduler/pscheduler/pscheduler/enummatcher.py

perfsonar/pscheduler

train

53

f6a3506943dd703d7b939753a76a658da9e7cc5c

[ "argument_group.add_argument('--virustotal-api-key', '--virustotal_api_key', dest='virustotal_api_key', type=str, action='store', default=None, metavar='API_KEY', help='Specify the API key for use with VirusTotal.')\nargument_group.add_argument('--virustotal-free-rate-limit', '--virustotal_free_rate_limit', dest='v...

<|body_start_0|> argument_group.add_argument('--virustotal-api-key', '--virustotal_api_key', dest='virustotal_api_key', type=str, action='store', default=None, metavar='API_KEY', help='Specify the API key for use with VirusTotal.') argument_group.add_argument('--virustotal-free-rate-limit', '--virustota...

VirusTotal analysis plugin CLI arguments helper.

VirusTotalAnalysisArgumentsHelper

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VirusTotalAnalysisArgumentsHelper: """VirusTotal analysis plugin CLI arguments helper.""" def AddArguments(cls, argument_group): """Adds command line arguments the helper supports to an argument group. This function takes an argument parser or an argument group object and adds to it ...

stack_v2_sparse_classes_36k_train_003807

3,424

permissive

[ { "docstring": "Adds command line arguments the helper supports to an argument group. This function takes an argument parser or an argument group object and adds to it all the command line arguments this helper supports. Args: argument_group (argparse._ArgumentGroup|argparse.ArgumentParser): argparse group.", ...

2

null

Implement the Python class `VirusTotalAnalysisArgumentsHelper` described below. Class description: VirusTotal analysis plugin CLI arguments helper. Method signatures and docstrings: - def AddArguments(cls, argument_group): Adds command line arguments the helper supports to an argument group. This function takes an ar...

d6022f8cfebfddf2d08ab2d300a41b61f3349933

<|skeleton|> class VirusTotalAnalysisArgumentsHelper: """VirusTotal analysis plugin CLI arguments helper.""" def AddArguments(cls, argument_group): """Adds command line arguments the helper supports to an argument group. This function takes an argument parser or an argument group object and adds to it ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VirusTotalAnalysisArgumentsHelper: """VirusTotal analysis plugin CLI arguments helper.""" def AddArguments(cls, argument_group): """Adds command line arguments the helper supports to an argument group. This function takes an argument parser or an argument group object and adds to it all the comma...

the_stack_v2_python_sparse

plaso/cli/helpers/virustotal_analysis.py

log2timeline/plaso

train

1,506

b643c161634586c58279fe7d882cae44c8e131ae

[ "if root is None:\n return ''\nq = []\n\ndef preorder(root):\n if root is None:\n return None\n else:\n q.append(root.val)\n for child in (root, children):\n preorder(child)\n q.append('#')\npreorder(root)\nreturn ','.join(map(str, q))", "if data == '':\n return ...

<|body_start_0|> if root is None: return '' q = [] def preorder(root): if root is None: return None else: q.append(root.val) for child in (root, children): preorder(child) q.a...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003808

1,377

no_license

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

2

stack_v2_sparse_classes_30k_train_007572

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

48ba21799f63225c104f649c3871444a29ab978a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root): """Encodes a tree to a single string. :type root: Node :rtype: str""" if root is None: return '' q = [] def preorder(root): if root is None: return None else: q.append(root.va...

the_stack_v2_python_sparse

archive/428. Serialize and Deserialize N-ary Tree.py

doraemon1293/Leetcode

train

0

91f0b1ad868614320f65d62713e4db67ec6b3fda

[ "self.structure = structure\nself.element = element\nframework = list(self.structure.symbol_set)\nget_voronoi = TopographyAnalyzer(self.structure, framework, [], check_volume=False)\nget_voronoi.cluster_nodes()\nget_voronoi.remove_collisions()\nstruct_to_trim = self.structure.copy()\nfor poss_inter in get_voronoi.v...

<|body_start_0|> self.structure = structure self.element = element framework = list(self.structure.symbol_set) get_voronoi = TopographyAnalyzer(self.structure, framework, [], check_volume=False) get_voronoi.cluster_nodes() get_voronoi.remove_collisions() struct_to...

Generator for interstitials based on a simple Voronoi analysis

VoronoiInterstitialGenerator

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VoronoiInterstitialGenerator: """Generator for interstitials based on a simple Voronoi analysis""" def __init__(self, structure, element): """Initializes an Interstitial generator using Voronoi sites Args: structure (Structure): pymatgen structure object element (str or Element or Sp...

stack_v2_sparse_classes_36k_train_003809

10,935

permissive

[ { "docstring": "Initializes an Interstitial generator using Voronoi sites Args: structure (Structure): pymatgen structure object element (str or Element or Specie): element for the interstitial", "name": "__init__", "signature": "def __init__(self, structure, element)" }, { "docstring": "Returns...

2

stack_v2_sparse_classes_30k_train_018102

Implement the Python class `VoronoiInterstitialGenerator` described below. Class description: Generator for interstitials based on a simple Voronoi analysis Method signatures and docstrings: - def __init__(self, structure, element): Initializes an Interstitial generator using Voronoi sites Args: structure (Structure)...

62ecae1c7382a41861e3a5d9b9c8dd1207472409

<|skeleton|> class VoronoiInterstitialGenerator: """Generator for interstitials based on a simple Voronoi analysis""" def __init__(self, structure, element): """Initializes an Interstitial generator using Voronoi sites Args: structure (Structure): pymatgen structure object element (str or Element or Sp...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VoronoiInterstitialGenerator: """Generator for interstitials based on a simple Voronoi analysis""" def __init__(self, structure, element): """Initializes an Interstitial generator using Voronoi sites Args: structure (Structure): pymatgen structure object element (str or Element or Specie): elemen...

the_stack_v2_python_sparse

pymatgen/analysis/defects/generators.py

montoyjh/pymatgen

train

2

08d97da13f5f408795f39aeec6c8fff88bf7139a

[ "R = math.log(frecuencia_final / frecuencia_inicial)\nL = duracion / R\nK = 2 * math.pi * frecuencia_inicial * L\ndominio_temporal = list(numpy.arange(0, duracion, 1 / fs))\nvalores = []\nfor t in dominio_temporal:\n valores.append(math.sin(K * (math.exp(t / L) - 1)))\nreturn SenalAudio(fs, dominio_temporal, val...

<|body_start_0|> R = math.log(frecuencia_final / frecuencia_inicial) L = duracion / R K = 2 * math.pi * frecuencia_inicial * L dominio_temporal = list(numpy.arange(0, duracion, 1 / fs)) valores = [] for t in dominio_temporal: valores.append(math.sin(K * (math....

GeneradorESS

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GeneradorESS: def generar_senal_ess(self, fs, duracion, frecuencia_inicial, frecuencia_final): """La señal ESS está dada por la expresión: s(t) = sin[K.(exp(t/L) - 1)] = sin[(2pi.f1.T/R).(exp(tR/T) - 1)] Las constantes K, L, R son como sigue: K = 2pi.f1.L L = T/R R = ln(f2/f1) Se indican...

stack_v2_sparse_classes_36k_train_003810

2,292

no_license

[ { "docstring": "La señal ESS está dada por la expresión: s(t) = sin[K.(exp(t/L) - 1)] = sin[(2pi.f1.T/R).(exp(tR/T) - 1)] Las constantes K, L, R son como sigue: K = 2pi.f1.L L = T/R R = ln(f2/f1) Se indican las dos notaciones equivalentes porque en distintas fuentes aparecen ambas. Esta señal es una senoide cuy...

2

stack_v2_sparse_classes_30k_test_000181

Implement the Python class `GeneradorESS` described below. Class description: Implement the GeneradorESS class. Method signatures and docstrings: - def generar_senal_ess(self, fs, duracion, frecuencia_inicial, frecuencia_final): La señal ESS está dada por la expresión: s(t) = sin[K.(exp(t/L) - 1)] = sin[(2pi.f1.T/R)....

6ad8569d065038dab11f3ee472998d2c77f8f90b

<|skeleton|> class GeneradorESS: def generar_senal_ess(self, fs, duracion, frecuencia_inicial, frecuencia_final): """La señal ESS está dada por la expresión: s(t) = sin[K.(exp(t/L) - 1)] = sin[(2pi.f1.T/R).(exp(tR/T) - 1)] Las constantes K, L, R son como sigue: K = 2pi.f1.L L = T/R R = ln(f2/f1) Se indican...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GeneradorESS: def generar_senal_ess(self, fs, duracion, frecuencia_inicial, frecuencia_final): """La señal ESS está dada por la expresión: s(t) = sin[K.(exp(t/L) - 1)] = sin[(2pi.f1.T/R).(exp(tR/T) - 1)] Las constantes K, L, R son como sigue: K = 2pi.f1.L L = T/R R = ln(f2/f1) Se indican las dos notac...

the_stack_v2_python_sparse

Python/medidor_acustico/src/core/domain/generadores_de_senales/generador_ess.py

GabrielPenaU3F/TrabajoTesis

train

0

d65a7d4a0546c6543dbacbd13b00d6c60eac5083

[ "if node.block_items is None:\n return node\nself.remove_list = []\nfor index, child in enumerate(node.block_items):\n if isinstance(child, (AST.For, AST.While, AST.DoWhile)):\n child.stmt = self.ensure_compound(node, index, child.stmt)\n elif isinstance(child, AST.If):\n child.iftrue = self....

<|body_start_0|> if node.block_items is None: return node self.remove_list = [] for index, child in enumerate(node.block_items): if isinstance(child, (AST.For, AST.While, AST.DoWhile)): child.stmt = self.ensure_compound(node, index, child.stmt) ...

Put compound blocks where needed in order to have pragma's properly be before what they were meant to

CorrectPragmaPlacement

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CorrectPragmaPlacement: """Put compound blocks where needed in order to have pragma's properly be before what they were meant to""" def visit_Compound(self, node): """Search compound for pragma nodes to transform""" <|body_0|> def ensure_compound(self, compound, index, i...

stack_v2_sparse_classes_36k_train_003811

2,247

no_license

[ { "docstring": "Search compound for pragma nodes to transform", "name": "visit_Compound", "signature": "def visit_Compound(self, node)" }, { "docstring": "If pragma grap next and make compound, if compound do nothing alse make compound", "name": "ensure_compound", "signature": "def ensur...

2

null

Implement the Python class `CorrectPragmaPlacement` described below. Class description: Put compound blocks where needed in order to have pragma's properly be before what they were meant to Method signatures and docstrings: - def visit_Compound(self, node): Search compound for pragma nodes to transform - def ensure_c...

51bd9de9f264545d78c03e3cb75fe1aa2a421444

<|skeleton|> class CorrectPragmaPlacement: """Put compound blocks where needed in order to have pragma's properly be before what they were meant to""" def visit_Compound(self, node): """Search compound for pragma nodes to transform""" <|body_0|> def ensure_compound(self, compound, index, i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CorrectPragmaPlacement: """Put compound blocks where needed in order to have pragma's properly be before what they were meant to""" def visit_Compound(self, node): """Search compound for pragma nodes to transform""" if node.block_items is None: return node self.remove_...

the_stack_v2_python_sparse

transforms/correct_pragma_placement.py

mrchristensen/Censor

train

0

75445e21e6d41735e67d31598f565f9b56c5ef5a

[ "addr_space = utils.load_as(self._config)\nresult = None\nadrs = addr_space\nwhile adrs:\n if adrs.__class__.__name__ == 'WindowsHiberFileSpace32':\n sr = adrs.ProcState.SpecialRegisters\n peb = obj.NoneObject('Cannot locate a valid PEB')\n for task in tasks.pslist(addr_space):\n ...

<|body_start_0|> addr_space = utils.load_as(self._config) result = None adrs = addr_space while adrs: if adrs.__class__.__name__ == 'WindowsHiberFileSpace32': sr = adrs.ProcState.SpecialRegisters peb = obj.NoneObject('Cannot locate a valid PEB'...

Dump hibernation file information

HibInfo

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003812

3,041

no_license

[ { "docstring": "Determines the address space", "name": "calculate", "signature": "def calculate(self)" }, { "docstring": "Renders the hiberfil header as text", "name": "render_text", "signature": "def render_text(self, outfd, data)" } ]

2

stack_v2_sparse_classes_30k_train_020940

Implement the Python class `HibInfo` described below. Class description: Dump hibernation file information Method signatures and docstrings: - def calculate(self): Determines the address space - def render_text(self, outfd, data): Renders the hiberfil header as text

Implement the Python class `HibInfo` described below. Class description: Dump hibernation file information Method signatures and docstrings: - def calculate(self): Determines the address space - def render_text(self, outfd, data): Renders the hiberfil header as text <|skeleton|> class HibInfo: """Dump hibernatio...

addbc8c73e7e6fb9e4fcadcec022fa1d3da4b96d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HibInfo: """Dump hibernation file information""" def calculate(self): """Determines the address space""" addr_space = utils.load_as(self._config) result = None adrs = addr_space while adrs: if adrs.__class__.__name__ == 'WindowsHiberFileSpace32': ...

the_stack_v2_python_sparse

我手敲的代码(中文注释)/chapter11/volatility/plugins/hibinfo.py

giantbranch/python-hacker-code

train

400

7f43f15cf9e55c8a9c3151392086d821effb23ff

[ "self.task = task\nself.orchestrator = orchestrator\nself.state_manager = state_manager\nself.logger = logging.getLogger(config.config_mgr.conf.logging.global_logger_name)", "task_futures = dict()\nwith concurrent.futures.ThreadPoolExecutor(max_workers=64) as te:\n for t in subtask_id_list:\n task_futur...

The base class for actions starts by the orchestrator.

BaseAction

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BaseAction: """The base class for actions starts by the orchestrator.""" def __init__(self, task, orchestrator, state_manager): """Object initializer. :param task: objects.Task instance this action will execute against :param orchestrator: orchestrator.Orchestrator instance :param st...

stack_v2_sparse_classes_36k_train_003813

47,038

permissive

[ { "docstring": "Object initializer. :param task: objects.Task instance this action will execute against :param orchestrator: orchestrator.Orchestrator instance :param state_manager: state.DrydockState instnace used to access task state", "name": "__init__", "signature": "def __init__(self, task, orchest...

6

null

Implement the Python class `BaseAction` described below. Class description: The base class for actions starts by the orchestrator. Method signatures and docstrings: - def __init__(self, task, orchestrator, state_manager): Object initializer. :param task: objects.Task instance this action will execute against :param o...

f99abfa4337f8cbb591513aac404b11208d4187c

<|skeleton|> class BaseAction: """The base class for actions starts by the orchestrator.""" def __init__(self, task, orchestrator, state_manager): """Object initializer. :param task: objects.Task instance this action will execute against :param orchestrator: orchestrator.Orchestrator instance :param st...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BaseAction: """The base class for actions starts by the orchestrator.""" def __init__(self, task, orchestrator, state_manager): """Object initializer. :param task: objects.Task instance this action will execute against :param orchestrator: orchestrator.Orchestrator instance :param state_manager: ...

the_stack_v2_python_sparse

python/drydock_provisioner/orchestrator/actions/orchestrator.py

airshipit/drydock

train

13

34f9358fb97fa396e17a005ccdf8c9075facbd0d

[ "self.parent = parent\nself.stages = [ConnectSqlStage(self), SqlScriptStage(self, 'demo_script'), DisconnectSqlStage(self)]\nself.stages_dict = {stage.name: stage for stage in self.stages}\nself.stages_executed = {stage.name: False for stage in self.stages}", "parents = [stage.get_argument_parser() for stage in s...

<|body_start_0|> self.parent = parent self.stages = [ConnectSqlStage(self), SqlScriptStage(self, 'demo_script'), DisconnectSqlStage(self)] self.stages_dict = {stage.name: stage for stage in self.stages} self.stages_executed = {stage.name: False for stage in self.stages} <|end_body_0|> <...

A class for the whole data pipeline / workflow

Pipeline

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Pipeline: """A class for the whole data pipeline / workflow""" def __init__(self, parent=None): """Init function for the pipeline. Args: parent: parent stage.""" <|body_0|> def get_argument_parser(self): """Returns argument parser for the pipeline / workflow.""" ...

stack_v2_sparse_classes_36k_train_003814

3,017

no_license

[ { "docstring": "Init function for the pipeline. Args: parent: parent stage.", "name": "__init__", "signature": "def __init__(self, parent=None)" }, { "docstring": "Returns argument parser for the pipeline / workflow.", "name": "get_argument_parser", "signature": "def get_argument_parser(...

4

stack_v2_sparse_classes_30k_train_014236

Implement the Python class `Pipeline` described below. Class description: A class for the whole data pipeline / workflow Method signatures and docstrings: - def __init__(self, parent=None): Init function for the pipeline. Args: parent: parent stage. - def get_argument_parser(self): Returns argument parser for the pip...

70bf124944125cb04e046b19ed6cb4c6ff599812

<|skeleton|> class Pipeline: """A class for the whole data pipeline / workflow""" def __init__(self, parent=None): """Init function for the pipeline. Args: parent: parent stage.""" <|body_0|> def get_argument_parser(self): """Returns argument parser for the pipeline / workflow.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Pipeline: """A class for the whole data pipeline / workflow""" def __init__(self, parent=None): """Init function for the pipeline. Args: parent: parent stage.""" self.parent = parent self.stages = [ConnectSqlStage(self), SqlScriptStage(self, 'demo_script'), DisconnectSqlStage(self...

the_stack_v2_python_sparse

The Blue Spiders/checkpoint_1/src/pipeline.py

amcheyre-nw/Invisible-Institute-Chicago-Reporter-Collaboration-Public

train

0

531253f34177ff3fe2dc5e89bee8abfd9deaa15c

[ "super().__init__(**kwargs)\nif not self.port:\n self.port = self.default_port\nself.priority = NotifyGrowl.template_args['priority']['default'] if not priority else next((v for k, v in GROWL_PRIORITY_MAP.items() if str(priority).lower().startswith(k)), NotifyGrowl.template_args['priority']['default'])\nself.gro...

<|body_start_0|> super().__init__(**kwargs) if not self.port: self.port = self.default_port self.priority = NotifyGrowl.template_args['priority']['default'] if not priority else next((v for k, v in GROWL_PRIORITY_MAP.items() if str(priority).lower().startswith(k)), NotifyGrowl.templa...

A wrapper to Growl Notifications

NotifyGrowl

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003815

14,228

permissive

[ { "docstring": "Initialize Growl Object", "name": "__init__", "signature": "def __init__(self, priority=None, version=2, include_image=True, sticky=False, **kwargs)" }, { "docstring": "Registers with the Growl server", "name": "register", "signature": "def register(self)" }, { "d...

5

stack_v2_sparse_classes_30k_train_014068

Implement the Python class `NotifyGrowl` described below. Class description: A wrapper to Growl Notifications Method signatures and docstrings: - def __init__(self, priority=None, version=2, include_image=True, sticky=False, **kwargs): Initialize Growl Object - def register(self): Registers with the Growl server - de...

be3baed7e3d33bae973f1714df4ebbf65aa33f85

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NotifyGrowl: """A wrapper to Growl Notifications""" def __init__(self, priority=None, version=2, include_image=True, sticky=False, **kwargs): """Initialize Growl Object""" super().__init__(**kwargs) if not self.port: self.port = self.default_port self.priority ...

the_stack_v2_python_sparse

apprise/plugins/NotifyGrowl.py

caronc/apprise

train

8,426

e4bb20e18af12f6f40e4bee612b1e2c60a09fa1a

[ "self._guesses = set()\nself._answer = get_random_number()\nself._win = False\npass", "usernumber = input(f'Guess a number between {START} and {END}: ')\nif usernumber == '' or usernumber == None:\n raise ValueError('Please enter a number')\ntry:\n usernumber = int(usernumber)\nexcept:\n raise ValueError...

<|body_start_0|> self._guesses = set() self._answer = get_random_number() self._win = False pass <|end_body_0|> <|body_start_1|> usernumber = input(f'Guess a number between {START} and {END}: ') if usernumber == '' or usernumber == None: raise ValueError('Ple...

Number guess class, make it callable to initiate game

Game

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Game: """Number guess class, make it callable to initiate game""" def __init__(self): """Init _guesses, _answer, _win to set(), get_random_number(), False""" <|body_0|> def guess(self): """Ask user for input, convert to int, raise ValueError outputting the follow...

stack_v2_sparse_classes_36k_train_003816

2,768

permissive

[ { "docstring": "Init _guesses, _answer, _win to set(), get_random_number(), False", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a ...

4

stack_v2_sparse_classes_30k_val_000619

Implement the Python class `Game` described below. Class description: Number guess class, make it callable to initiate game Method signatures and docstrings: - def __init__(self): Init _guesses, _answer, _win to set(), get_random_number(), False - def guess(self): Ask user for input, convert to int, raise ValueError ...

e5738f4f685bad4c8fb140cbc057faa441d4b34c

<|skeleton|> class Game: """Number guess class, make it callable to initiate game""" def __init__(self): """Init _guesses, _answer, _win to set(), get_random_number(), False""" <|body_0|> def guess(self): """Ask user for input, convert to int, raise ValueError outputting the follow...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Game: """Number guess class, make it callable to initiate game""" def __init__(self): """Init _guesses, _answer, _win to set(), get_random_number(), False""" self._guesses = set() self._answer = get_random_number() self._win = False pass def guess(self): ...

the_stack_v2_python_sparse

guess.py

rayjustinhuang/BitesofPy

train

0

6ec325db885ed7f373cc1b6abb2403697c1ea06c

[ "arguments.AddCopyBackupResourceArgs(parser)\ngroup_parser = parser.add_argument_group(mutex=True, required=True)\ngroup_parser.add_argument('--expiration-date', help='Expiration time of the backup, must be at least 6 hours and at most 30 days from the time the source backup is created. See `$ gcloud topic datetime...

<|body_start_0|> arguments.AddCopyBackupResourceArgs(parser) group_parser = parser.add_argument_group(mutex=True, required=True) group_parser.add_argument('--expiration-date', help='Expiration time of the backup, must be at least 6 hours and at most 30 days from the time the source backup is cre...

Copy a Cloud Bigtable backup to a new backup.

Copy

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class Copy: """Copy a Cloud Bigtable backup to a new backup.""" def Args(parser): """Register flags for this command.""" <|body_0|> def Run(self, args): """This is what gets called when the user runs this command. Args: args: an argparse namespace. All the arguments th...

stack_v2_sparse_classes_36k_train_003817

4,326

permissive

[ { "docstring": "Register flags for this command.", "name": "Args", "signature": "def Args(parser)" }, { "docstring": "This is what gets called when the user runs this command. Args: args: an argparse namespace. All the arguments that were provided to this command invocation. Returns: Some value ...

2

null

Implement the Python class `Copy` described below. Class description: Copy a Cloud Bigtable backup to a new backup. Method signatures and docstrings: - def Args(parser): Register flags for this command. - def Run(self, args): This is what gets called when the user runs this command. Args: args: an argparse namespace....

392abf004b16203030e6efd2f0af24db7c8d669e

<|skeleton|> class Copy: """Copy a Cloud Bigtable backup to a new backup.""" def Args(parser): """Register flags for this command.""" <|body_0|> def Run(self, args): """This is what gets called when the user runs this command. Args: args: an argparse namespace. All the arguments th...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Copy: """Copy a Cloud Bigtable backup to a new backup.""" def Args(parser): """Register flags for this command.""" arguments.AddCopyBackupResourceArgs(parser) group_parser = parser.add_argument_group(mutex=True, required=True) group_parser.add_argument('--expiration-date',...

the_stack_v2_python_sparse

lib/surface/bigtable/backups/copy.py

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

train

9

35ba8c7480032f3e5c249f11b5daad33273ee74a

[ "if is_dataverse_app_to_route(model._meta.app_label):\n return DB_REFERENCE_NAME\nreturn None", "if is_dataverse_app_to_route(model._meta.app_label):\n return DB_REFERENCE_NAME\nreturn None", "if is_dataverse_app_to_route(obj1._meta.app_label) or is_dataverse_app_to_route(obj2._meta.app_label):\n retur...

A router to control all database operations on models in the auth application.

DataverseRouter

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DataverseRouter: """A router to control all database operations on models in the auth application.""" def db_for_read(self, model, **hints): """Attempts to read auth models go to auth_db.""" <|body_0|> def db_for_write(self, model, **hints): """Attempts to write ...

stack_v2_sparse_classes_36k_train_003818

2,258

no_license

[ { "docstring": "Attempts to read auth models go to auth_db.", "name": "db_for_read", "signature": "def db_for_read(self, model, **hints)" }, { "docstring": "Attempts to write auth models go to auth_db.", "name": "db_for_write", "signature": "def db_for_write(self, model, **hints)" }, ...

4

stack_v2_sparse_classes_30k_val_000861

Implement the Python class `DataverseRouter` described below. Class description: A router to control all database operations on models in the auth application. Method signatures and docstrings: - def db_for_read(self, model, **hints): Attempts to read auth models go to auth_db. - def db_for_write(self, model, **hints...

2a17e5ba918d6d1c7d38c192e0504e6cd96b32d2

<|skeleton|> class DataverseRouter: """A router to control all database operations on models in the auth application.""" def db_for_read(self, model, **hints): """Attempts to read auth models go to auth_db.""" <|body_0|> def db_for_write(self, model, **hints): """Attempts to write ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DataverseRouter: """A router to control all database operations on models in the auth application.""" def db_for_read(self, model, **hints): """Attempts to read auth models go to auth_db.""" if is_dataverse_app_to_route(model._meta.app_label): return DB_REFERENCE_NAME ...

the_stack_v2_python_sparse

miniverse/db_routers/db_dataverse_router.py

IQSS/miniverse

train

3

e9a06b1443a9c5ec7a1550a213732db49206d75c

[ "hashset = set()\nfor num in nums:\n if num in hashset:\n return num\n else:\n hashset.add(num)\nreturn -1", "nums = nums.copy()\ni = 0\nwhile i < len(nums):\n if nums[i] == i:\n i += 1\n continue\n if nums[nums[i]] == nums[i]:\n return nums[i]\n temp = nums[nums[...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def findRepeatNumber_1(self, nums: List[int]) -> int: """方法一：哈希表 / Set 时间复杂度 O(N) ：遍历数组使用 O(N) ，HashSet 添加与查找元素皆为 O(1) 。空间复杂度 O(N) ： HashSet 占用 O(N) 大小的额外空间。 :param nums: :return:""" <|body_0|> def findRepeatNumber_2(self, nums: [int]) -> int: """方法二：原地交换...

stack_v2_sparse_classes_36k_train_003819

2,011

no_license

[ { "docstring": "方法一：哈希表 / Set 时间复杂度 O(N) ：遍历数组使用 O(N) ，HashSet 添加与查找元素皆为 O(1) 。空间复杂度 O(N) ： HashSet 占用 O(N) 大小的额外空间。 :param nums: :return:", "name": "findRepeatNumber_1", "signature": "def findRepeatNumber_1(self, nums: List[int]) -> int" }, { "docstring": "方法二：原地交换时间复杂度 O(N) ：遍历数组使用 O(N) ，每...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findRepeatNumber_1(self, nums: List[int]) -> int: 方法一：哈希表 / Set 时间复杂度 O(N) ：遍历数组使用 O(N) ，HashSet 添加与查找元素皆为 O(1) 。空间复杂度 O(N) ： HashSet 占用 O(N) 大小的额外空间。 :param nums: :return:...

62419b49000e79962bcdc99cd98afd2fb82ea345

<|skeleton|> class Solution: def findRepeatNumber_1(self, nums: List[int]) -> int: """方法一：哈希表 / Set 时间复杂度 O(N) ：遍历数组使用 O(N) ，HashSet 添加与查找元素皆为 O(1) 。空间复杂度 O(N) ： HashSet 占用 O(N) 大小的额外空间。 :param nums: :return:""" <|body_0|> def findRepeatNumber_2(self, nums: [int]) -> int: """方法二：原地交换...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findRepeatNumber_1(self, nums: List[int]) -> int: """方法一：哈希表 / Set 时间复杂度 O(N) ：遍历数组使用 O(N) ，HashSet 添加与查找元素皆为 O(1) 。空间复杂度 O(N) ： HashSet 占用 O(N) 大小的额外空间。 :param nums: :return:""" hashset = set() for num in nums: if num in hashset: return num ...

the_stack_v2_python_sparse

剑指 Offer（第 2 版）/findRepeatNumber.py

MaoningGuan/LeetCode

train

3

d74496e1b176070fcd5d91b200a480c79cf17240

[ "self.pairs = pairs\nself.change_types = change_types\nself.func = None\nself.funcname = None", "assert isinstance(func, FunctionType), 'func must be a function'\nself.func = func\nreturn self", "clone = type(self)(self.pairs, self.change_types)\nclone.func = self.func\nreturn clone" ]

An object used to temporarily store observe decorator state.

ObserveHandler

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ObserveHandler: """An object used to temporarily store observe decorator state.""" def __init__(self, pairs: List[Tuple[str, Optional[str]]], change_types: ChangeType=ChangeType.ANY) -> None: """Initialize an ObserveHandler. Parameters ---------- pairs : list The list of 2-tuples whi...

stack_v2_sparse_classes_36k_train_003820

5,816

permissive

[ { "docstring": "Initialize an ObserveHandler. Parameters ---------- pairs : list The list of 2-tuples which stores the pair information for the observers.", "name": "__init__", "signature": "def __init__(self, pairs: List[Tuple[str, Optional[str]]], change_types: ChangeType=ChangeType.ANY) -> None" },...

3

null

Implement the Python class `ObserveHandler` described below. Class description: An object used to temporarily store observe decorator state. Method signatures and docstrings: - def __init__(self, pairs: List[Tuple[str, Optional[str]]], change_types: ChangeType=ChangeType.ANY) -> None: Initialize an ObserveHandler. Pa...

761a52821d8c77b5718216256963682d11599c1e

<|skeleton|> class ObserveHandler: """An object used to temporarily store observe decorator state.""" def __init__(self, pairs: List[Tuple[str, Optional[str]]], change_types: ChangeType=ChangeType.ANY) -> None: """Initialize an ObserveHandler. Parameters ---------- pairs : list The list of 2-tuples whi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ObserveHandler: """An object used to temporarily store observe decorator state.""" def __init__(self, pairs: List[Tuple[str, Optional[str]]], change_types: ChangeType=ChangeType.ANY) -> None: """Initialize an ObserveHandler. Parameters ---------- pairs : list The list of 2-tuples which stores the...

the_stack_v2_python_sparse

atom/meta/observation.py

nucleic/atom

train

251

c1ce0248beb8436e7a53924ce5884e5c28f299f9

[ "wb = load_workbook(file, read_only=True, data_only=True)\nlogger.debug('In parse(). workbook has %d sheets' % len(wb.worksheets))\nif len(wb.worksheets) > 1:\n reporting.warnings(self.import_uuid, exceptions.IgnoredWorksheetWarning(processed_title=wb.sheetnames[0], ignored_sheet_count=len(wb.worksheets) - 1))\n...

<|body_start_0|> wb = load_workbook(file, read_only=True, data_only=True) logger.debug('In parse(). workbook has %d sheets' % len(wb.worksheets)) if len(wb.worksheets) > 1: reporting.warnings(self.import_uuid, exceptions.IgnoredWorksheetWarning(processed_title=wb.sheetnames[0], ignor...

ExcelParserMixin

[ "BSD-3-Clause", "BSD-3-Clause-LBNL" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ExcelParserMixin: def parse(self, file): """Parses the input as an Excel workbook. :param file: a file-like object :return: the ParseResult read from file, otherwise None :raises OSError: if the file can't be opened :raises EDDImportError: if the file format or content is bad""" ...

stack_v2_sparse_classes_36k_train_003821

28,563

permissive

[ { "docstring": "Parses the input as an Excel workbook. :param file: a file-like object :return: the ParseResult read from file, otherwise None :raises OSError: if the file can't be opened :raises EDDImportError: if the file format or content is bad", "name": "parse", "signature": "def parse(self, file)"...

2

stack_v2_sparse_classes_30k_train_012913

Implement the Python class `ExcelParserMixin` described below. Class description: Implement the ExcelParserMixin class. Method signatures and docstrings: - def parse(self, file): Parses the input as an Excel workbook. :param file: a file-like object :return: the ParseResult read from file, otherwise None :raises OSEr...

271a7041c90572d5d197fba01effde164bc96ca7

<|skeleton|> class ExcelParserMixin: def parse(self, file): """Parses the input as an Excel workbook. :param file: a file-like object :return: the ParseResult read from file, otherwise None :raises OSError: if the file can't be opened :raises EDDImportError: if the file format or content is bad""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ExcelParserMixin: def parse(self, file): """Parses the input as an Excel workbook. :param file: a file-like object :return: the ParseResult read from file, otherwise None :raises OSError: if the file can't be opened :raises EDDImportError: if the file format or content is bad""" wb = load_work...

the_stack_v2_python_sparse

server/edd/load/parsers/core.py

JBEI/edd

train

13

0f9a5e2a890d221659cd3f87b76f6e5396da7d6e

[ "self.frameDelay = frameDelay\nself.T = pc_rotx(rx / 180 * 3.14159)\nself.storeV = np.zeros((frameDelay, 3))\nself.fi = 0\nself.lastpc = np.zeros((1, 3))\nself.dt = TimeRecord()", "pc = transxy(joint, imgd)\ndv = (pc - self.lastpc) / self.dt.timePass()\ndv = pc_trans(self.T, dv)\nself.storeV[self.fi] = dv[0]\nsel...

CalMeanSpeed

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CalMeanSpeed: def __init__(self, frameDelay=4, rx=-30): """:param frameDelay: 计算平均速度的帧数 :param rx: 角度，相机位姿""" <|body_0|> def meanSpeed(self, joint, imgd): """# 计算平均速度 # 图像坐标转换为真实空间xyz坐标 # 与上一帧作差/时间,计算速度并存储 # 计算平均速度 :param joint: 关节坐标 :param imgd: 深度图像 :return: 平均速度""...

stack_v2_sparse_classes_36k_train_003822

11,252

no_license

[ { "docstring": ":param frameDelay: 计算平均速度的帧数 :param rx: 角度，相机位姿", "name": "__init__", "signature": "def __init__(self, frameDelay=4, rx=-30)" }, { "docstring": "# 计算平均速度 # 图像坐标转换为真实空间xyz坐标 # 与上一帧作差/时间,计算速度并存储 # 计算平均速度 :param joint: 关节坐标 :param imgd: 深度图像 :return: 平均速度", "name": "meanSpeed", ...

2

null

Implement the Python class `CalMeanSpeed` described below. Class description: Implement the CalMeanSpeed class. Method signatures and docstrings: - def __init__(self, frameDelay=4, rx=-30): :param frameDelay: 计算平均速度的帧数 :param rx: 角度，相机位姿 - def meanSpeed(self, joint, imgd): # 计算平均速度 # 图像坐标转换为真实空间xyz坐标 # 与上一帧作差/时间,计算速度...

5d4c8209732ffa7d50dd7235ad50c4dc708a47cc

<|skeleton|> class CalMeanSpeed: def __init__(self, frameDelay=4, rx=-30): """:param frameDelay: 计算平均速度的帧数 :param rx: 角度，相机位姿""" <|body_0|> def meanSpeed(self, joint, imgd): """# 计算平均速度 # 图像坐标转换为真实空间xyz坐标 # 与上一帧作差/时间,计算速度并存储 # 计算平均速度 :param joint: 关节坐标 :param imgd: 深度图像 :return: 平均速度""...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CalMeanSpeed: def __init__(self, frameDelay=4, rx=-30): """:param frameDelay: 计算平均速度的帧数 :param rx: 角度，相机位姿""" self.frameDelay = frameDelay self.T = pc_rotx(rx / 180 * 3.14159) self.storeV = np.zeros((frameDelay, 3)) self.fi = 0 self.lastpc = np.zeros((1, 3)) ...

the_stack_v2_python_sparse

ch7/7.4/clor.py

WeihangWANG/3DWorld

train

5

4622c1a5c2e40cf57298b5f0f6a15c2fc60b69b5

[ "if klass is not None and pattern is not None:\n return [pattern % {'class': k} for k in klass.split()]\nreturn []", "classes = []\nif klass is not None:\n kls = klass\nelse:\n kls = self.css\nif error is None:\n error = kls\nif required is None:\n required = kls\nif self.error is not None:\n cl...

<|body_start_0|> if klass is not None and pattern is not None: return [pattern % {'class': k} for k in klass.split()] return [] <|end_body_0|> <|body_start_1|> classes = [] if klass is not None: kls = klass else: kls = self.css if erro...

Widget layout support mix-in class

WidgetLayoutSupport

[ "ZPL-2.1" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class WidgetLayoutSupport: """Widget layout support mix-in class""" def wrap_css_class(klass, pattern='%(class)s'): """Return a list of css class names wrapped with given pattern""" <|body_0|> def get_css_class(self, klass=None, error=None, required=None, class_pattern='%(clas...

stack_v2_sparse_classes_36k_train_003823

8,027

permissive

[ { "docstring": "Return a list of css class names wrapped with given pattern", "name": "wrap_css_class", "signature": "def wrap_css_class(klass, pattern='%(class)s')" }, { "docstring": "Setup given css class (klass) with error and required postfix If no klass name is given the widget.wrapper clas...

2

stack_v2_sparse_classes_30k_train_008178

Implement the Python class `WidgetLayoutSupport` described below. Class description: Widget layout support mix-in class Method signatures and docstrings: - def wrap_css_class(klass, pattern='%(class)s'): Return a list of css class names wrapped with given pattern - def get_css_class(self, klass=None, error=None, requ...

e83e2ce314355f98eaf66e90ad6feccbda7934f9

<|skeleton|> class WidgetLayoutSupport: """Widget layout support mix-in class""" def wrap_css_class(klass, pattern='%(class)s'): """Return a list of css class names wrapped with given pattern""" <|body_0|> def get_css_class(self, klass=None, error=None, required=None, class_pattern='%(clas...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WidgetLayoutSupport: """Widget layout support mix-in class""" def wrap_css_class(klass, pattern='%(class)s'): """Return a list of css class names wrapped with given pattern""" if klass is not None and pattern is not None: return [pattern % {'class': k} for k in klass.split()] ...

the_stack_v2_python_sparse

src/pyams_form/browser/widget.py

Py-AMS/pyams-form

train

0

6ad1b647fb85a1c6260e9b8833bd72085dd1f4f7

[ "securityPartitions = zoneManager.getDevicesByType(AlarmPartition)\nif len(securityPartitions) > 0:\n if AlarmPartition.STATE_ARM_AWAY == securityPartitions[0].getArmMode():\n return True\nreturn False", "securityPartitions = zoneManager.getDevicesByType(AlarmPartition)\nif len(securityPartitions) > 0:\...

Provide quick access to the alarm partition of the zones.

SecurityManager

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SecurityManager: """Provide quick access to the alarm partition of the zones.""" def isArmedAway(zoneManager): """:return: True if at least one zone is armed-away""" <|body_0|> def isArmedStay(zoneManager): """:return: True if at least one zone is armed-stay""" ...

stack_v2_sparse_classes_36k_train_003824

2,333

no_license

[ { "docstring": ":return: True if at least one zone is armed-away", "name": "isArmedAway", "signature": "def isArmedAway(zoneManager)" }, { "docstring": ":return: True if at least one zone is armed-stay", "name": "isArmedStay", "signature": "def isArmedStay(zoneManager)" } ]

2

stack_v2_sparse_classes_30k_train_000426

Implement the Python class `SecurityManager` described below. Class description: Provide quick access to the alarm partition of the zones. Method signatures and docstrings: - def isArmedAway(zoneManager): :return: True if at least one zone is armed-away - def isArmedStay(zoneManager): :return: True if at least one zo...

c64c9e109173277b6b4b2473adaac9d2da623cdb

<|skeleton|> class SecurityManager: """Provide quick access to the alarm partition of the zones.""" def isArmedAway(zoneManager): """:return: True if at least one zone is armed-away""" <|body_0|> def isArmedStay(zoneManager): """:return: True if at least one zone is armed-stay""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SecurityManager: """Provide quick access to the alarm partition of the zones.""" def isArmedAway(zoneManager): """:return: True if at least one zone is armed-away""" securityPartitions = zoneManager.getDevicesByType(AlarmPartition) if len(securityPartitions) > 0: if Al...

the_stack_v2_python_sparse

legacy-jython-code/aaa_modules/security_manager.py

yfaway/openhab-rules

train

10

99a26e8c24ac601a004a388ef112efe993191dc6

[ "form_kwargs = super().get_form_kwargs()\nform_kwargs['user'] = self.request.user\nreturn form_kwargs", "try:\n workflow = services.do_import_workflow(self.request.user, form.cleaned_data['name'], self.request.FILES['wf_file'])\n messages.success(self.request, _('Workflow {0} successfully imported.'.format(...

View to request information to export a workflow.

WorkflowImportView

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003825

3,538

permissive

[ { "docstring": "Store user in form_kwargs.", "name": "get_form_kwargs", "signature": "def get_form_kwargs(self)" }, { "docstring": "Upload the file.", "name": "form_valid", "signature": "def form_valid(self, form)" } ]

2

null

Implement the Python class `WorkflowImportView` described below. Class description: View to request information to export a workflow. Method signatures and docstrings: - def get_form_kwargs(self): Store user in form_kwargs. - def form_valid(self, form): Upload the file.

Implement the Python class `WorkflowImportView` described below. Class description: View to request information to export a workflow. Method signatures and docstrings: - def get_form_kwargs(self): Store user in form_kwargs. - def form_valid(self, form): Upload the file. <|skeleton|> class WorkflowImportView: """...

c432745dfff932cbe7397100422d49df78f0a882

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WorkflowImportView: """View to request information to export a workflow.""" def get_form_kwargs(self): """Store user in form_kwargs.""" form_kwargs = super().get_form_kwargs() form_kwargs['user'] = self.request.user return form_kwargs def form_valid(self, form): ...

the_stack_v2_python_sparse

ontask/workflow/views/import_export.py

abelardopardo/ontask_b

train

43

7b616cd071b16f41de26c0a60f9e7fd2dc2b9d12

[ "res = self.__class__()\nfor key in self.keys():\n if isinstance(self[key], self.__class__):\n res.update(self[key].flatten())\n else:\n res[key] = self[key]\nreturn res.sorted()", "res = self.__class__()\nfor key in keys:\n if key in self.keys():\n res[key] = self[key]\nreturn res",...

Collection of :class:`.TweezersData`. Inherits from :class:`.IndexedOrderedDict` with keys being ID names.

TweezersCollection

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TweezersCollection: """Collection of :class:`.TweezersData`. Inherits from :class:`.IndexedOrderedDict` with keys being ID names.""" def flatten(self): """Flatten a data collection, i.e. remove nested collections. Returns a copy of the collection. Returns: :class:`.TweezersCollection...

stack_v2_sparse_classes_36k_train_003826

12,590

permissive

[ { "docstring": "Flatten a data collection, i.e. remove nested collections. Returns a copy of the collection. Returns: :class:`.TweezersCollection`", "name": "flatten", "signature": "def flatten(self)" }, { "docstring": "Select all items with a key that is in the provided iterable `keys`. Args: k...

3

stack_v2_sparse_classes_30k_train_018482

Implement the Python class `TweezersCollection` described below. Class description: Collection of :class:`.TweezersData`. Inherits from :class:`.IndexedOrderedDict` with keys being ID names. Method signatures and docstrings: - def flatten(self): Flatten a data collection, i.e. remove nested collections. Returns a cop...

7c9b3d781c53f7728526a8242aa9e1d671f15688

<|skeleton|> class TweezersCollection: """Collection of :class:`.TweezersData`. Inherits from :class:`.IndexedOrderedDict` with keys being ID names.""" def flatten(self): """Flatten a data collection, i.e. remove nested collections. Returns a copy of the collection. Returns: :class:`.TweezersCollection...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TweezersCollection: """Collection of :class:`.TweezersData`. Inherits from :class:`.IndexedOrderedDict` with keys being ID names.""" def flatten(self): """Flatten a data collection, i.e. remove nested collections. Returns a copy of the collection. Returns: :class:`.TweezersCollection`""" ...

the_stack_v2_python_sparse

tweezers/collections.py

DollSimon/tweezers

train

0

8880157ee9fb7ee6556d28e23c128b8f8c09f201

[ "assert reduction in ('none', 'mean', 'sum'), reduction\nsuper().__init__()\nself.temperature = temperature\nself.use_double_scores = use_double_scores\nself.reduction = reduction", "nbest = k2.Nbest.from_lattice(lattice=lattice, num_paths=num_paths, use_double_scores=self.use_double_scores, nbest_scale=nbest_sca...

Minimum Word Error Rate Loss compuration in k2. See equation 2 of https://arxiv.org/pdf/2106.02302.pdf about its definition.

MWERLoss

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MWERLoss: """Minimum Word Error Rate Loss compuration in k2. See equation 2 of https://arxiv.org/pdf/2106.02302.pdf about its definition.""" def __init__(self, temperature: float=1.0, use_double_scores: bool=True, reduction: Literal['none', 'mean', 'sum']='sum'): """Args: temperature...

stack_v2_sparse_classes_36k_train_003827

7,465

permissive

[ { "docstring": "Args: temperature: For long utterances, the dynamic range of scores will be too large and the posteriors will be mostly 0 or 1. To prevent this it might be a good idea to have an extra argument that functions like a temperature. We scale the logprobs by before doing the normalization. use_double...

2

stack_v2_sparse_classes_30k_train_018230

Implement the Python class `MWERLoss` described below. Class description: Minimum Word Error Rate Loss compuration in k2. See equation 2 of https://arxiv.org/pdf/2106.02302.pdf about its definition. Method signatures and docstrings: - def __init__(self, temperature: float=1.0, use_double_scores: bool=True, reduction:...

2b2ac14b326d61d79d04e53fbd69b1ff6d630411

<|skeleton|> class MWERLoss: """Minimum Word Error Rate Loss compuration in k2. See equation 2 of https://arxiv.org/pdf/2106.02302.pdf about its definition.""" def __init__(self, temperature: float=1.0, use_double_scores: bool=True, reduction: Literal['none', 'mean', 'sum']='sum'): """Args: temperature...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MWERLoss: """Minimum Word Error Rate Loss compuration in k2. See equation 2 of https://arxiv.org/pdf/2106.02302.pdf about its definition.""" def __init__(self, temperature: float=1.0, use_double_scores: bool=True, reduction: Literal['none', 'mean', 'sum']='sum'): """Args: temperature: For long ut...

the_stack_v2_python_sparse

k2/python/k2/mwer_loss.py

k2-fsa/k2

train

851

88b23e6f6b3c86fe828971037e4b04b86530f855

[ "uid = request.cookies.get('uid')\nassert uid and len(uid) > 10\nfee = int(request.args.get('fee', 300))\nif uid == 'o31RHuPslKvzzBccwwoXv_GKmfEA':\n fee = 1\norder_url = self.make_order_url(fee, '招标123-VIP会员', request.url, uid)\nimg = qrcode.make(order_url, border=2)\nbs = io.BytesIO()\nimg.save(bs, 'png')\nres...

<|body_start_0|> uid = request.cookies.get('uid') assert uid and len(uid) > 10 fee = int(request.args.get('fee', 300)) if uid == 'o31RHuPslKvzzBccwwoXv_GKmfEA': fee = 1 order_url = self.make_order_url(fee, '招标123-VIP会员', request.url, uid) img = qrcode.make(ord...

微信支付

WxPayApi

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003828

5,207

no_license

[ { "docstring": "生成订单二维码", "name": "get", "signature": "def get(self, request: Request)" }, { "docstring": "生成订单网址", "name": "make_order_url", "signature": "def make_order_url(self, fee: int, title: str, url: str, uid: str) -> str" }, { "docstring": "微信支付回调", "name": "post", ...

4

null

Implement the Python class `WxPayApi` described below. Class description: 微信支付 Method signatures and docstrings: - def get(self, request: Request): 生成订单二维码 - def make_order_url(self, fee: int, title: str, url: str, uid: str) -> str: 生成订单网址 - def post(self, request: Request): 微信支付回调 - def sign_order_params(self, param...

7316880e2444a8af02e2f44af38dd7ae708ccbb6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WxPayApi: """微信支付""" def get(self, request: Request): """生成订单二维码""" uid = request.cookies.get('uid') assert uid and len(uid) > 10 fee = int(request.args.get('fee', 300)) if uid == 'o31RHuPslKvzzBccwwoXv_GKmfEA': fee = 1 order_url = self.make_ord...

the_stack_v2_python_sparse

web_sanic/apis/pay.py

aiportal/zb123

train

0

e92b934674eb1f0a260a6c0a85bf0a6b8fea6ed2

[ "res = [[0 for _ in range(max_weight + 1)] for _ in range(len(weight) + 1)]\nfor i in range(1, len(res)):\n cur_value = value[i - 1]\n cur_weight = weight[i - 1]\n for j in range(1, len(res[0])):\n if cur_weight <= j:\n res[i][j] = max(res[i - 1][j], cur_value + res[i - 1][j - cur_weight]...

<|body_start_0|> res = [[0 for _ in range(max_weight + 1)] for _ in range(len(weight) + 1)] for i in range(1, len(res)): cur_value = value[i - 1] cur_weight = weight[i - 1] for j in range(1, len(res[0])): if cur_weight <= j: res[i][...

Bag01

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003829

2,438

no_license

[ { "docstring": ":param weight: 物品重量 :param value: 物品价值 :param max_weight: 背包最大重量 :return: 最大价值", "name": "bag01", "signature": "def bag01(self, weight, value, max_weight)" }, { "docstring": "装入背包的物品索引(索引从0开始） :param res: :param weight: :return: 返回物品索引", "name": "show", "signature": "def ...

2

stack_v2_sparse_classes_30k_train_004162

Implement the Python class `Bag01` described below. Class description: Implement the Bag01 class. Method signatures and docstrings: - def bag01(self, weight, value, max_weight): :param weight: 物品重量 :param value: 物品价值 :param max_weight: 背包最大重量 :return: 最大价值 - def show(self, res, weight): 装入背包的物品索引(索引从0开始） :param res: ...

3eddc77d2f3dafffd177f2a9ee28e9850da2f020

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Bag01: def bag01(self, weight, value, max_weight): """:param weight: 物品重量 :param value: 物品价值 :param max_weight: 背包最大重量 :return: 最大价值""" res = [[0 for _ in range(max_weight + 1)] for _ in range(len(weight) + 1)] for i in range(1, len(res)): cur_value = value[i - 1] ...

the_stack_v2_python_sparse

DP/0-1Bag.py

ii0/algorithms-6

train

0

39d2f089b78a06dace27d01b34255e4a8b47e77c

[ "tempList = ListNode(0)\ncur = head\nwhile cur:\n p = cur\n cur = cur.next\n p.next = tempList.next\n tempList.next = p\nreturn tempList.next", "if head is None or head.next is None:\n return head\np = head.next\nq = self.reverseList2(p)\nhead.next = None\np.next = head\nreturn q" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003830

1,088

no_license

[ { "docstring": "非递归 :type head: ListNode :rtype: ListNode", "name": "reverseList", "signature": "def reverseList(self, head)" }, { "docstring": "递归 :type head: ListNode :rtype: ListNode", "name": "reverseList2", "signature": "def reverseList2(self, head)" } ]

2

stack_v2_sparse_classes_30k_train_012140

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def reverseList(self, head): 非递归 :type head: ListNode :rtype: ListNode - def reverseList2(self, head): 递归 :type head: ListNode :rtype: ListNode

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def reverseList(self, head): 非递归 :type head: ListNode :rtype: ListNode - def reverseList2(self, head): 递归 :type head: ListNode :rtype: ListNode <|skeleton|> class Solution: ...

65226cdd7ac68e63991a02d09341a17043664281

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def reverseList(self, head): """非递归 :type head: ListNode :rtype: ListNode""" tempList = ListNode(0) cur = head while cur: p = cur cur = cur.next p.next = tempList.next tempList.next = p return tempList.next ...

the_stack_v2_python_sparse

leetcode-python/206_Reverse_Linked_List.py

inzy/leetcode

train

0

a693ee13a12971f43b5c557b350f99a4e6863fb3

[ "self.dic = dictionary\nself.abb = {}\nfor x in dictionary:\n if len(x) <= 2:\n if x not in self.abb:\n self.abb[x] = self.abb.get(x, 0) + 1\n else:\n self.abb[x[0] + str(len(x) - 2) + x[-1]] = self.abb.get(x[0] + str(len(x) - 2) + x[-1], 0) + 1", "if len(word) <= 2:\n abb = word...

<|body_start_0|> self.dic = dictionary self.abb = {} for x in dictionary: if len(x) <= 2: if x not in self.abb: self.abb[x] = self.abb.get(x, 0) + 1 else: self.abb[x[0] + str(len(x) - 2) + x[-1]] = self.abb.get(x[0] + st...

ValidWordAbbr

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ValidWordAbbr: def __init__(self, dictionary): """:type dictionary: List[str]""" <|body_0|> def isUnique(self, word): """:type word: str :rtype: bool""" <|body_1|> <|end_skeleton|> <|body_start_0|> self.dic = dictionary self.abb = {} ...

stack_v2_sparse_classes_36k_train_003831

1,061

no_license

[ { "docstring": ":type dictionary: List[str]", "name": "__init__", "signature": "def __init__(self, dictionary)" }, { "docstring": ":type word: str :rtype: bool", "name": "isUnique", "signature": "def isUnique(self, word)" } ]

2

null

Implement the Python class `ValidWordAbbr` described below. Class description: Implement the ValidWordAbbr class. Method signatures and docstrings: - def __init__(self, dictionary): :type dictionary: List[str] - def isUnique(self, word): :type word: str :rtype: bool

Implement the Python class `ValidWordAbbr` described below. Class description: Implement the ValidWordAbbr class. Method signatures and docstrings: - def __init__(self, dictionary): :type dictionary: List[str] - def isUnique(self, word): :type word: str :rtype: bool <|skeleton|> class ValidWordAbbr: def __init_...

e9e74a81a7f10888c2c342c70b1ba32b09a16ab2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ValidWordAbbr: def __init__(self, dictionary): """:type dictionary: List[str]""" self.dic = dictionary self.abb = {} for x in dictionary: if len(x) <= 2: if x not in self.abb: self.abb[x] = self.abb.get(x, 0) + 1 else:...

the_stack_v2_python_sparse

python/leetcode288.py

mhhuang95/LeetCode

train

2

c64dc9524aa34e4d557f683da728a4a9cc88a442

[ "super().__init__()\nif isinstance(modules, list):\n self.module_list = nn.ModuleList(modules)\nelse:\n self.module_list = modules", "if aux is not None:\n return torch.cat(tuple((self.module_list[d](x[:, (d,)], aux) for d in range(x.shape[1]))), dim=1)\nelse:\n return torch.cat(tuple((self.module_lis...

A neural network module to represent trainable dimension-wise transformation.

ComponentwiseTransform

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ComponentwiseTransform: """A neural network module to represent trainable dimension-wise transformation.""" def __init__(self, modules: Union[List[nn.Module], nn.ModuleList]): """Parameters: modules: list of neural networks each of which is a univariate function (or additionally it c...

stack_v2_sparse_classes_36k_train_003832

6,687

permissive

[ { "docstring": "Parameters: modules: list of neural networks each of which is a univariate function (or additionally it can take an auxiliary input variable).", "name": "__init__", "signature": "def __init__(self, modules: Union[List[nn.Module], nn.ModuleList])" }, { "docstring": "Perform forwar...

2

stack_v2_sparse_classes_30k_train_016233

Implement the Python class `ComponentwiseTransform` described below. Class description: A neural network module to represent trainable dimension-wise transformation. Method signatures and docstrings: - def __init__(self, modules: Union[List[nn.Module], nn.ModuleList]): Parameters: modules: list of neural networks eac...

2878ced51cfe473aad8fbc1886e2b65dfc9fc060

<|skeleton|> class ComponentwiseTransform: """A neural network module to represent trainable dimension-wise transformation.""" def __init__(self, modules: Union[List[nn.Module], nn.ModuleList]): """Parameters: modules: list of neural networks each of which is a univariate function (or additionally it c...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ComponentwiseTransform: """A neural network module to represent trainable dimension-wise transformation.""" def __init__(self, modules: Union[List[nn.Module], nn.ModuleList]): """Parameters: modules: list of neural networks each of which is a univariate function (or additionally it can take an au...

the_stack_v2_python_sparse

causal_da/components/ica_torch/gcl_model.py

SoldierY/few-shot-domain-adaptation-by-causal-mechanism-transfer

train

0

8878bf1772e30bc79e2c67ec0c2157c0a24307b1

[ "self.window = window\nworkspace = window.application.get_service(IWorkspace)\ncsp = ContainerSelectionPage(id='container_page', workspace=workspace)\nfwp = FilePage(id='file_page', csp=csp)\nself.pages = [csp, fwp]\nsuper(NewFileWizard, self).__init__(**traits)", "csp = self.pages[0]\nfwp = self.pages[1]\nfile =...

<|body_start_0|> self.window = window workspace = window.application.get_service(IWorkspace) csp = ContainerSelectionPage(id='container_page', workspace=workspace) fwp = FilePage(id='file_page', csp=csp) self.pages = [csp, fwp] super(NewFileWizard, self).__init__(**traits...

A wizard for file creation.

NewFileWizard

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003833

7,361

permissive

[ { "docstring": "Returns a NewFileWizard", "name": "__init__", "signature": "def __init__(self, window, **traits)" }, { "docstring": "Performs the file resource creation if the wizard is finished successfully.", "name": "_finished_fired", "signature": "def _finished_fired(self)" } ]

2

stack_v2_sparse_classes_30k_train_020180

Implement the Python class `NewFileWizard` described below. Class description: A wizard for file creation. Method signatures and docstrings: - def __init__(self, window, **traits): Returns a NewFileWizard - def _finished_fired(self): Performs the file resource creation if the wizard is finished successfully.

Implement the Python class `NewFileWizard` described below. Class description: A wizard for file creation. Method signatures and docstrings: - def __init__(self, window, **traits): Returns a NewFileWizard - def _finished_fired(self): Performs the file resource creation if the wizard is finished successfully. <|skele...

e8fc0b2d6b9b08e60389fc4714a5cf51f628b57f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NewFileWizard: """A wizard for file creation.""" def __init__(self, window, **traits): """Returns a NewFileWizard""" self.window = window workspace = window.application.get_service(IWorkspace) csp = ContainerSelectionPage(id='container_page', workspace=workspace) f...

the_stack_v2_python_sparse

puddle/python_editor/new_file_wizard.py

rwl/puddle

train

2

36d68f5a360e7ee68991dafdd2b4b270e30a3e5b

[ "super().__init__(*args, **kwargs)\nself.value_shape = value_shape or ()\nself.num_values = int(np.prod(self.value_shape))\nself.iblt_values_shape = (self.repetitions, self.table_size) + self.value_shape\nif len(self.value_shape) > 1:\n self._tile_shape = [1] + [1 for _ in self.value_shape]\n self._tile_shape...

<|body_start_0|> super().__init__(*args, **kwargs) self.value_shape = value_shape or () self.num_values = int(np.prod(self.value_shape)) self.iblt_values_shape = (self.repetitions, self.table_size) + self.value_shape if len(self.value_shape) > 1: self._tile_shape = [1...

Encodes the strings into an IBLT data structure.

IbltTensorEncoder

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class IbltTensorEncoder: """Encodes the strings into an IBLT data structure.""" def __init__(self, value_shape: Sequence[int], *args, **kwargs): """Initializes internal IBLT parameters. Args: value_shape: Shape of the values. *args: See IbltEncoder. **kwargs: See IbltEncoder.""" <|...

stack_v2_sparse_classes_36k_train_003834

17,202

permissive

[ { "docstring": "Initializes internal IBLT parameters. Args: value_shape: Shape of the values. *args: See IbltEncoder. **kwargs: See IbltEncoder.", "name": "__init__", "signature": "def __init__(self, value_shape: Sequence[int], *args, **kwargs)" }, { "docstring": "Returns SparseTensor with tenso...

3

stack_v2_sparse_classes_30k_train_020808

Implement the Python class `IbltTensorEncoder` described below. Class description: Encodes the strings into an IBLT data structure. Method signatures and docstrings: - def __init__(self, value_shape: Sequence[int], *args, **kwargs): Initializes internal IBLT parameters. Args: value_shape: Shape of the values. *args: ...

ad4bca66f4b483e09d8396e9948630813a343d27

<|skeleton|> class IbltTensorEncoder: """Encodes the strings into an IBLT data structure.""" def __init__(self, value_shape: Sequence[int], *args, **kwargs): """Initializes internal IBLT parameters. Args: value_shape: Shape of the values. *args: See IbltEncoder. **kwargs: See IbltEncoder.""" <|...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class IbltTensorEncoder: """Encodes the strings into an IBLT data structure.""" def __init__(self, value_shape: Sequence[int], *args, **kwargs): """Initializes internal IBLT parameters. Args: value_shape: Shape of the values. *args: See IbltEncoder. **kwargs: See IbltEncoder.""" super().__init_...

the_stack_v2_python_sparse

tensorflow_federated/python/analytics/heavy_hitters/iblt/iblt_tensor.py

tensorflow/federated

train

2,297

f58d1b68ab886f550d675d7ae72f6ae49f7e4a4e

[ "try:\n file_id = request.args.get('file_id') if request.args.get('file_id') else None\n file = ProjectFiles.get_file(project_id, file_id)\n return (file.to_primitive(), 200)\nexcept NotFound:\n return ({'Error': 'No project files found for project'}, 404)\nexcept Exception as e:\n error_msg = f'File...

<|body_start_0|> try: file_id = request.args.get('file_id') if request.args.get('file_id') else None file = ProjectFiles.get_file(project_id, file_id) return (file.to_primitive(), 200) except NotFound: return ({'Error': 'No project files found for project'...

ProjectFileAPI

[ "BSD-2-Clause", "JSON", "LicenseRef-scancode-public-domain" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProjectFileAPI: def get(self, project_id): """Get one file for a project --- tags: - project-admin produces: - application/json parameters: - name: project_id in: path description: The unique project ID required: true type: integer default: 1 - name: file_id in: query description: The un...

stack_v2_sparse_classes_36k_train_003835

9,437

permissive

[ { "docstring": "Get one file for a project --- tags: - project-admin produces: - application/json parameters: - name: project_id in: path description: The unique project ID required: true type: integer default: 1 - name: file_id in: query description: The unique file ID required: true type: integer default: 1 r...

3

stack_v2_sparse_classes_30k_val_000758

Implement the Python class `ProjectFileAPI` described below. Class description: Implement the ProjectFileAPI class. Method signatures and docstrings: - def get(self, project_id): Get one file for a project --- tags: - project-admin produces: - application/json parameters: - name: project_id in: path description: The ...

6c567ff02c316bc1f1429c11c60dc72f450d1c57

<|skeleton|> class ProjectFileAPI: def get(self, project_id): """Get one file for a project --- tags: - project-admin produces: - application/json parameters: - name: project_id in: path description: The unique project ID required: true type: integer default: 1 - name: file_id in: query description: The un...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ProjectFileAPI: def get(self, project_id): """Get one file for a project --- tags: - project-admin produces: - application/json parameters: - name: project_id in: path description: The unique project ID required: true type: integer default: 1 - name: file_id in: query description: The unique file ID r...

the_stack_v2_python_sparse

server/api/project_files_api.py

KaartGroup/tasking-manager

train

2

6b9711afb9dfe4c2623942eb01f67400b45a0864

[ "username = self.cleaned_data.get('username')\nis_exist = models.UserInfo.objects.filter(username=username)\nif is_exist.exists():\n raise ValidationError('用户名已经存在')\nelse:\n return username", "pwd = self.cleaned_data.get('password')\nre_pwd = self.cleaned_data.get('re_password')\nif pwd == re_pwd:\n ret...

用户注册校验使用form组件字段名称必须和数据库对应 re_password在数据库不存在，在存储数据前会删掉 RegexValidator forms中使用正则过滤

RegisterForm

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RegisterForm: """用户注册校验使用form组件字段名称必须和数据库对应 re_password在数据库不存在，在存储数据前会删掉 RegexValidator forms中使用正则过滤""" def clean_username(self): """局部钩子 clean_username 对username字段进行校验检测用户名唯一性 ValidationError 弹出异常 :return: 成功：用户名失败：错误信息""" <|body_0|> def clean(self): """全局钩子...

stack_v2_sparse_classes_36k_train_003836

5,228

no_license

[ { "docstring": "局部钩子 clean_username 对username字段进行校验检测用户名唯一性 ValidationError 弹出异常 :return: 成功：用户名失败：错误信息", "name": "clean_username", "signature": "def clean_username(self)" }, { "docstring": "全局钩子获取cleaned_data中的所有数据检测两次输入的密码是否一致 :return: 成功: 返回cleaned_data 数据失败：返回错误信息，并指定那个input返回错误信息", ...

3

stack_v2_sparse_classes_30k_train_008271

Implement the Python class `RegisterForm` described below. Class description: 用户注册校验使用form组件字段名称必须和数据库对应 re_password在数据库不存在，在存储数据前会删掉 RegexValidator forms中使用正则过滤 Method signatures and docstrings: - def clean_username(self): 局部钩子 clean_username 对username字段进行校验检测用户名唯一性 ValidationError 弹出异常 :return: 成功：用户名失败：错误信息 - ...

d7fc68d3d23345df5bfb09d4a84686c8b49a5ad7

<|skeleton|> class RegisterForm: """用户注册校验使用form组件字段名称必须和数据库对应 re_password在数据库不存在，在存储数据前会删掉 RegexValidator forms中使用正则过滤""" def clean_username(self): """局部钩子 clean_username 对username字段进行校验检测用户名唯一性 ValidationError 弹出异常 :return: 成功：用户名失败：错误信息""" <|body_0|> def clean(self): """全局钩子...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RegisterForm: """用户注册校验使用form组件字段名称必须和数据库对应 re_password在数据库不存在，在存储数据前会删掉 RegexValidator forms中使用正则过滤""" def clean_username(self): """局部钩子 clean_username 对username字段进行校验检测用户名唯一性 ValidationError 弹出异常 :return: 成功：用户名失败：错误信息""" username = self.cleaned_data.get('username') is_exist...

the_stack_v2_python_sparse

day21/homework/CMS/fault_reporting/forms.py

214031230/Python21

train

0

2c098de81b15cc4f5fbadce22c067bdf2320bd46

[ "_logger.info('sync var')\nif not isinstance(ids, list):\n ids = [ids]\nsync_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')\nproduct_model = self.pool.get('product.product')\npartner_model = self.pool.get('res.partner')\nproduct_lines = []\nfor ebiz_stock in self.read(cr, uid, ids, ['product_id', 'var_qty',...

<|body_start_0|> _logger.info('sync var') if not isinstance(ids, list): ids = [ids] sync_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S') product_model = self.pool.get('product.product') partner_model = self.pool.get('res.partner') product_lines = [] ...

ebiz_stock

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003837

3,970

no_license

[ { "docstring": "库存增量同步", "name": "sync_stock_var", "signature": "def sync_stock_var(self, cr, uid, ids, context=None)" }, { "docstring": "库存全量同步", "name": "sync_stock_qty", "signature": "def sync_stock_qty(self, cr, uid, ids, context=None)" } ]

2

null

Implement the Python class `ebiz_stock` described below. Class description: Implement the ebiz_stock class. Method signatures and docstrings: - def sync_stock_var(self, cr, uid, ids, context=None): 库存增量同步 - def sync_stock_qty(self, cr, uid, ids, context=None): 库存全量同步

Implement the Python class `ebiz_stock` described below. Class description: Implement the ebiz_stock class. Method signatures and docstrings: - def sync_stock_var(self, cr, uid, ids, context=None): 库存增量同步 - def sync_stock_qty(self, cr, uid, ids, context=None): 库存全量同步 <|skeleton|> class ebiz_stock: def sync_stoc...

96186dfac9a10cd47079de226f6f1d0761928a84

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ebiz_stock: def sync_stock_var(self, cr, uid, ids, context=None): """库存增量同步""" _logger.info('sync var') if not isinstance(ids, list): ids = [ids] sync_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S') product_model = self.pool.get('product.product') ...

the_stack_v2_python_sparse

bysun_stock_product_V2/models/ebiz.py

luohuayong/addons8

train

0

552a13a1ce1e7cd938b45c94e91ae7585f5443eb

[ "super().__init__(kind=FRAGMENT)\nif start and stop:\n self[FRAGMENT_START] = start\n self[FRAGMENT_STOP] = stop\nelse:\n self[FRAGMENT_MISSING] = '?'\nif description:\n self[FRAGMENT_DESCRIPTION] = description", "if FRAGMENT_MISSING in self:\n return '?'\nreturn '{}_{}'.format(self[FRAGMENT_START]...

Represent the information about a protein fragment.

Fragment

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Fragment: """Represent the information about a protein fragment.""" def __init__(self, start: Union[None, int, str]=None, stop: Union[None, int, str]=None, description: Optional[str]=None) -> None: """Build a protein fragment data dictionary. :param start: The starting position :para...

stack_v2_sparse_classes_36k_train_003838

34,684

permissive

[ { "docstring": "Build a protein fragment data dictionary. :param start: The starting position :param stop: The stopping position :param description: An optional description Example of specified fragment: >>> from pybel.dsl import Protein, Fragment >>> Protein(name='APP', namespace='HGNC', variants=[Fragment(sta...

3

null

Implement the Python class `Fragment` described below. Class description: Represent the information about a protein fragment. Method signatures and docstrings: - def __init__(self, start: Union[None, int, str]=None, stop: Union[None, int, str]=None, description: Optional[str]=None) -> None: Build a protein fragment d...

ed66f013a77f9cbc513892b0dad1025b8f68bb46

<|skeleton|> class Fragment: """Represent the information about a protein fragment.""" def __init__(self, start: Union[None, int, str]=None, stop: Union[None, int, str]=None, description: Optional[str]=None) -> None: """Build a protein fragment data dictionary. :param start: The starting position :para...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Fragment: """Represent the information about a protein fragment.""" def __init__(self, start: Union[None, int, str]=None, stop: Union[None, int, str]=None, description: Optional[str]=None) -> None: """Build a protein fragment data dictionary. :param start: The starting position :param stop: The s...

the_stack_v2_python_sparse

src/pybel/dsl/node_classes.py

pybel/pybel

train

133

d74548cae2c7de2c0dbac01bcf6f9beb4b72553d

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn AccessPackageAssignmentReviewSettings()", "from .access_review_expiration_behavior import AccessReviewExpirationBehavior\nfrom .entitlement_management_schedule import EntitlementManagementSchedule\nfrom .subject_set import SubjectSet\n...

AccessPackageAssignmentReviewSettings

[ "MIT" ]

stack_v2_sparse_python_classes_v1

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

stack_v2_sparse_classes_36k_train_003839

5,820

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: AccessPackageAssignmentReviewSettings", "name": "create_from_discriminator_value", "signature": "def create_...

3

null

Implement the Python class `AccessPackageAssignmentReviewSettings` described below. Class description: Implement the AccessPackageAssignmentReviewSettings class. Method signatures and docstrings: - def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessPackageAssignmentReviewSettings: Crea...

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

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

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

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

the_stack_v2_python_sparse

msgraph/generated/models/access_package_assignment_review_settings.py

microsoftgraph/msgraph-sdk-python

train

135

c9dcaf594759f452499c06ef3cabc2c2e7d25385

[ "self.__r = r\nself.__order = order\nself.__mu = np.random.random()\nself.__sigma = np.random.random()\nself.__cor = np.random.random(self.__order + 1) / 100.0", "assert len(sub_sequence) >= self.__order, 'the length of sub-sequence must be order or more'\nsub_sequence = np.array(sub_sequence)\nself.__mu = self._...

Sequential discounting algorithm

_SDAR_1Dim

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _SDAR_1Dim: """Sequential discounting algorithm""" def __init__(self, r, order): """Args: r: sequential discounting coefficient order: AR model's dimension""" <|body_0|> def update(self, x, sub_sequence): """update the SDAR model Args: x: a datum sub_sequence: su...

stack_v2_sparse_classes_36k_train_003840

7,176

permissive

[ { "docstring": "Args: r: sequential discounting coefficient order: AR model's dimension", "name": "__init__", "signature": "def __init__(self, r, order)" }, { "docstring": "update the SDAR model Args: x: a datum sub_sequence: sub-time-series data Returns: (float, ndarray): outlier score", "n...

3

stack_v2_sparse_classes_30k_train_004626

Implement the Python class `_SDAR_1Dim` described below. Class description: Sequential discounting algorithm Method signatures and docstrings: - def __init__(self, r, order): Args: r: sequential discounting coefficient order: AR model's dimension - def update(self, x, sub_sequence): update the SDAR model Args: x: a d...

7faf99f36ac012799602f32b359dcda089bcd119

<|skeleton|> class _SDAR_1Dim: """Sequential discounting algorithm""" def __init__(self, r, order): """Args: r: sequential discounting coefficient order: AR model's dimension""" <|body_0|> def update(self, x, sub_sequence): """update the SDAR model Args: x: a datum sub_sequence: su...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _SDAR_1Dim: """Sequential discounting algorithm""" def __init__(self, r, order): """Args: r: sequential discounting coefficient order: AR model's dimension""" self.__r = r self.__order = order self.__mu = np.random.random() self.__sigma = np.random.random() ...

the_stack_v2_python_sparse

changefinder/changefinder.py

IbarakikenYukishi/two-stage-MDL

train

4

54d84764b1124c5e03849ccd88b5c172ae192aac

[ "self._host = host\nself._username = username\nself._shell_client = ShellClientFactory.create(host, username)", "parent_dest_dir = os.path.dirname(dest_dir)\nself._shell_client.exec_command('rm -rf {0}; mkdir -p {0}'.format(dest_dir), error_on_failure=True)\nself._shell_client.copy(source_tar, '{}/clusterrunner.t...

<|body_start_0|> self._host = host self._username = username self._shell_client = ShellClientFactory.create(host, username) <|end_body_0|> <|body_start_1|> parent_dest_dir = os.path.dirname(dest_dir) self._shell_client.exec_command('rm -rf {0}; mkdir -p {0}'.format(dest_dir), er...

A "deploy target" is the host to which clusterrunner will be deployed to. Deployment entails putting in place the clusterrunner binaries and configuration only. This class is not responsible for manipulating processes and stopping/starting services.

DeployTarget

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DeployTarget: """A "deploy target" is the host to which clusterrunner will be deployed to. Deployment entails putting in place the clusterrunner binaries and configuration only. This class is not responsible for manipulating processes and stopping/starting services.""" def __init__(self, hos...

stack_v2_sparse_classes_36k_train_003841

2,695

permissive

[ { "docstring": ":param host: the fully qualified hostname of the host to deploy to :type host: str :param username: the user who is executing this process and whose ssh credentials will be used :type username: str", "name": "__init__", "signature": "def __init__(self, host, username)" }, { "docs...

3

stack_v2_sparse_classes_30k_train_001870

Implement the Python class `DeployTarget` described below. Class description: A "deploy target" is the host to which clusterrunner will be deployed to. Deployment entails putting in place the clusterrunner binaries and configuration only. This class is not responsible for manipulating processes and stopping/starting s...

55d18016f2c7d2dbb8aec5879459cae654edb045

<|skeleton|> class DeployTarget: """A "deploy target" is the host to which clusterrunner will be deployed to. Deployment entails putting in place the clusterrunner binaries and configuration only. This class is not responsible for manipulating processes and stopping/starting services.""" def __init__(self, hos...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DeployTarget: """A "deploy target" is the host to which clusterrunner will be deployed to. Deployment entails putting in place the clusterrunner binaries and configuration only. This class is not responsible for manipulating processes and stopping/starting services.""" def __init__(self, host, username):...

the_stack_v2_python_sparse

app/deployment/deploy_target.py

box/ClusterRunner

train

168

9e554a6b34a19d27eb6e87249053bf7add02e2d9

[ "self.head, self.tail = (Node(0, 0), Node(0, 0))\nself.head.next = self.tail\nself.tail.prev = self.head\nself.size = 0", "x.next = self.head.next\nx.prev = self.head\nself.head.next.prev = x\nself.head.next = x\nself.size += 1", "x.prev.next = x.next\nx.next.prev = x.prev\nself.size -= 1", "last = self.tail....

DoubleLinked

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003842

3,328

no_license

[ { "docstring": "初始化首尾节点", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "把新节点加入到头部", "name": "addFrist", "signature": "def addFrist(self, x: Node) -> None" }, { "docstring": "删除该节点", "name": "remove", "signature": "def remove(self, x: Node) -> No...

4

stack_v2_sparse_classes_30k_train_018309

Implement the Python class `DoubleLinked` described below. Class description: Implement the DoubleLinked class. Method signatures and docstrings: - def __init__(self): 初始化首尾节点 - def addFrist(self, x: Node) -> None: 把新节点加入到头部 - def remove(self, x: Node) -> None: 删除该节点 - def removeLast(self) -> Node: 删除尾节点，并返回这个节点

Implement the Python class `DoubleLinked` described below. Class description: Implement the DoubleLinked class. Method signatures and docstrings: - def __init__(self): 初始化首尾节点 - def addFrist(self, x: Node) -> None: 把新节点加入到头部 - def remove(self, x: Node) -> None: 删除该节点 - def removeLast(self) -> Node: 删除尾节点，并返回这个节点 <|s...

0cc970aaa03aa9300319a1e39e052e4beeec6698

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DoubleLinked: def __init__(self): """初始化首尾节点""" self.head, self.tail = (Node(0, 0), Node(0, 0)) self.head.next = self.tail self.tail.prev = self.head self.size = 0 def addFrist(self, x: Node) -> None: """把新节点加入到头部""" x.next = self.head.next ...

the_stack_v2_python_sparse

leetcode.146. LRU缓存机制.py

NonCover/-

train

2

0231692cc20d662f02f1c475ae7d6f398306d9ae

[ "super().__init__()\nself.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, drop_rate)\nself.decoder = Decoder(N, dm, h, hidden, target_vocab, max_seq_input, drop_rate)\nself.linear = tf.keras.layers.Dense(units=target_vocab)", "enc_output = self.encoder(inp, training, enc_padding_mask)\ndec_output,...

<|body_start_0|> super().__init__() self.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, drop_rate) self.decoder = Decoder(N, dm, h, hidden, target_vocab, max_seq_input, drop_rate) self.linear = tf.keras.layers.Dense(units=target_vocab) <|end_body_0|> <|body_start_1|> ...

DecoderBlock class

Transformer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Transformer: """DecoderBlock class""" def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): """Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units...

stack_v2_sparse_classes_36k_train_003843

13,062

no_license

[ { "docstring": "Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units in the fully connected layer. drop_rate: (float) the dropout rate.", "name": "__init__", "signature": "def __init__(self, N, dm, h, hidden, input_vocab, ta...

2

null

Implement the Python class `Transformer` described below. Class description: DecoderBlock class Method signatures and docstrings: - def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the ...

75274394adb52d740f6cd4000cc00bbde44b9b72

<|skeleton|> class Transformer: """DecoderBlock class""" def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): """Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Transformer: """DecoderBlock class""" def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): """Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units in the fully...

the_stack_v2_python_sparse

supervised_learning/0x12-transformer_apps/5-transformer.py

jdarangop/holbertonschool-machine_learning

train

2

7dc86f9a5c2776f95b88f881a3d9c87f21e5642e

[ "while p.ltag == 0:\n p = p.lchild\nreturn p", "if p.rtag == 0:\n return self.findFirstNode(p.rchild)\nelse:\n return p.rchild", "result = list()\np = self.findFirstNode(t)\nwhile p is not None:\n result.append(p.data)\n p = self.findNextNode(p)\nreturn result" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003844

1,190

no_license

[ { "docstring": "中序线索二叉树中中序序列的第一个节点 :param p: :return:", "name": "findFirstNode", "signature": "def findFirstNode(self, p: ThreadNode) -> ThreadNode" }, { "docstring": "中序线索二叉树中节点p在中序序列下的后继 :param p: :return:", "name": "findNextNode", "signature": "def findNextNode(self, p: ThreadNode) ->...

3

stack_v2_sparse_classes_30k_test_000531

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findFirstNode(self, p: ThreadNode) -> ThreadNode: 中序线索二叉树中中序序列的第一个节点 :param p: :return: - def findNextNode(self, p: ThreadNode) -> ThreadNode: 中序线索二叉树中节点p在中序序列下的后继 :param p: ...

cded97a52c422f98b55f2b3527a054d23541d5a4

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findFirstNode(self, p: ThreadNode) -> ThreadNode: """中序线索二叉树中中序序列的第一个节点 :param p: :return:""" while p.ltag == 0: p = p.lchild return p def findNextNode(self, p: ThreadNode) -> ThreadNode: """中序线索二叉树中节点p在中序序列下的后继 :param p: :return:""" if p....

the_stack_v2_python_sparse

chapter5/中序线索二叉树的遍历.py

AnJian2020/Leetcode

train

1

d567b5c3e72135d65625a3ba3fe07e0318393cc2

[ "try:\n user = CustomUser.objects.get(email=username)\n print('Abc', user)\n if user.check_password(password):\n print('entered here')\n return user\nexcept User.DoesNotExist:\n return None", "try:\n return User.objects.get(pk=user_id)\nexcept User.DoesNotExist:\n return None" ]

<|body_start_0|> try: user = CustomUser.objects.get(email=username) print('Abc', user) if user.check_password(password): print('entered here') return user except User.DoesNotExist: return None <|end_body_0|> <|body_start_1|...

Email Authentication Backend Allows a user to sign in using an email/password pair rather than a username/password pair.

EmailAuthBackend

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EmailAuthBackend: """Email Authentication Backend Allows a user to sign in using an email/password pair rather than a username/password pair.""" def authenticate(cls, username=None, password=None, **kwargs): """Authenticate a user based on email address as the user name.""" <...

stack_v2_sparse_classes_36k_train_003845

3,512

no_license

[ { "docstring": "Authenticate a user based on email address as the user name.", "name": "authenticate", "signature": "def authenticate(cls, username=None, password=None, **kwargs)" }, { "docstring": "Get a User object from the user_id.", "name": "get_user", "signature": "def get_user(self...

2

null

Implement the Python class `EmailAuthBackend` described below. Class description: Email Authentication Backend Allows a user to sign in using an email/password pair rather than a username/password pair. Method signatures and docstrings: - def authenticate(cls, username=None, password=None, **kwargs): Authenticate a u...

53fd97bd17f36ce14b2be28bb08d5b65abde8d82

<|skeleton|> class EmailAuthBackend: """Email Authentication Backend Allows a user to sign in using an email/password pair rather than a username/password pair.""" def authenticate(cls, username=None, password=None, **kwargs): """Authenticate a user based on email address as the user name.""" <...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EmailAuthBackend: """Email Authentication Backend Allows a user to sign in using an email/password pair rather than a username/password pair.""" def authenticate(cls, username=None, password=None, **kwargs): """Authenticate a user based on email address as the user name.""" try: ...

the_stack_v2_python_sparse

valentisHealth/backends.py

surajit003/valentis

train

1

d3100a2c8a3e8f2d20b3cf391a4385c249935fd2

[ "self.hp = nums\nheapq.heapify(self.hp)\nself.ind = k", "heapq.heappush(self.hp, val)\nwhile len(self.hp) > self.ind:\n heapq.heappop(self.hp)\nreturn self.hp[0]" ]

KthLargest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003846

1,066

no_license

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

2

stack_v2_sparse_classes_30k_train_020255

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

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

ee59b82125f100970c842d5e1245287c484d6649

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class KthLargest: def __init__(self, k, nums): """:type k: int :type nums: List[int]""" self.hp = nums heapq.heapify(self.hp) self.ind = k def add(self, val): """:type val: int :rtype: int""" heapq.heappush(self.hp, val) while len(self.hp) > self.ind: ...

the_stack_v2_python_sparse

_CodeTopics/LeetCode/601-800/000703/000703_algo2.py

BIAOXYZ/variousCodes

train

0

9a77187cc02f156b6a88a364f9370afb37d2fd25

[ "if cls.__instance is None:\n cls.__instance = super(Database, cls).__new__(cls)\nreturn cls.__instance", "conf = configparser.ConfigParser()\nconf.read('./database/database.cfg')\nself.host = conf['DATABASE_INFO']['host']\nself.port = int(conf['DATABASE_INFO']['port'])\nself.user = conf['DATABASE_INFO']['user...

数据库类.

Database

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003847

1,725

no_license

[ { "docstring": "单例模式实现.", "name": "__new__", "signature": "def __new__(cls, *args, **kwargs)" }, { "docstring": "数据库配置.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "数据库连接方法. return: pool: 返回连接池", "name": "connect_database", "signature": "def ...

3

stack_v2_sparse_classes_30k_test_000206

Implement the Python class `Database` described below. Class description: 数据库类. Method signatures and docstrings: - def __new__(cls, *args, **kwargs): 单例模式实现. - def __init__(self): 数据库配置. - def connect_database(self): 数据库连接方法. return: pool: 返回连接池

Implement the Python class `Database` described below. Class description: 数据库类. Method signatures and docstrings: - def __new__(cls, *args, **kwargs): 单例模式实现. - def __init__(self): 数据库配置. - def connect_database(self): 数据库连接方法. return: pool: 返回连接池 <|skeleton|> class Database: """数据库类.""" def __new__(cls, *ar...

773d86b88f7e48c21b44d897fa0e41a07952f21f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Database: """数据库类.""" def __new__(cls, *args, **kwargs): """单例模式实现.""" if cls.__instance is None: cls.__instance = super(Database, cls).__new__(cls) return cls.__instance def __init__(self): """数据库配置.""" conf = configparser.ConfigParser() c...

the_stack_v2_python_sparse

database/connect_database.py

itsNinety/XAPI

train

0

8e15159a1d1f72f24f04bba85111ed10c5f38789

[ "try:\n return KnowImage.objects.filter(knowledge=int(self.kwargs['pk']))\nexcept:\n return KnowImage.objects.all()", "instance = self.get_queryset()\nserializer = self.get_serializer(instance, many=True)\nreturn Response(serializer.data)" ]

知识点图片

KnowledgeImageViewSet

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class KnowledgeImageViewSet: """知识点图片""" def get_queryset(self): """获取知识点图片根据知识点id查询图片 :return:""" <|body_0|> def retrieve(self, request, *args, **kwargs): """url请求 http://127.0.0.1:8000/know_image/1/ 其中的1代表知识点的id号返回该知识点对应的所有图片 :param request: :param args: :param kwa...

stack_v2_sparse_classes_36k_train_003848

7,211

no_license

[ { "docstring": "获取知识点图片根据知识点id查询图片 :return:", "name": "get_queryset", "signature": "def get_queryset(self)" }, { "docstring": "url请求 http://127.0.0.1:8000/know_image/1/ 其中的1代表知识点的id号返回该知识点对应的所有图片 :param request: :param args: :param kwargs: :return:", "name": "retrieve", "signature": "d...

2

stack_v2_sparse_classes_30k_train_017358

Implement the Python class `KnowledgeImageViewSet` described below. Class description: 知识点图片 Method signatures and docstrings: - def get_queryset(self): 获取知识点图片根据知识点id查询图片 :return: - def retrieve(self, request, *args, **kwargs): url请求 http://127.0.0.1:8000/know_image/1/ 其中的1代表知识点的id号返回该知识点对应的所有图片 :param request: :p...

9205dfd8dd0c822a9f5352db845fc12c319db3e3

<|skeleton|> class KnowledgeImageViewSet: """知识点图片""" def get_queryset(self): """获取知识点图片根据知识点id查询图片 :return:""" <|body_0|> def retrieve(self, request, *args, **kwargs): """url请求 http://127.0.0.1:8000/know_image/1/ 其中的1代表知识点的id号返回该知识点对应的所有图片 :param request: :param args: :param kwa...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class KnowledgeImageViewSet: """知识点图片""" def get_queryset(self): """获取知识点图片根据知识点id查询图片 :return:""" try: return KnowImage.objects.filter(knowledge=int(self.kwargs['pk'])) except: return KnowImage.objects.all() def retrieve(self, request, *args, **kwargs): ...

the_stack_v2_python_sparse

apps/library/views.py

bbright3493/gz_v1.0.0

train

0

5bb7d761e08fd0c0af2d6a3bc672e97838a4f6e2

[ "total = 0\nfor counter in SimpleCounterShard.objects.all():\n total += counter.count\nreturn total", "index = random.randint(0, SimpleCounterShard.NUM_SHARDS - 1)\nshard_name = 'shard' + str(index)\ncounter = SimpleCounterShard.objects.get_or_create(pk=shard_name)[0]\ncounter.count += 1\ncounter.save()" ]

Shards for the counter

SimpleCounterShard

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003849

4,135

no_license

[ { "docstring": "Retrieve the value for a given sharded counter.", "name": "get_count", "signature": "def get_count(cls)" }, { "docstring": "Increment the value for a given sharded counter.", "name": "increment", "signature": "def increment(cls)" } ]

2

stack_v2_sparse_classes_30k_train_002862

Implement the Python class `SimpleCounterShard` described below. Class description: Shards for the counter Method signatures and docstrings: - def get_count(cls): Retrieve the value for a given sharded counter. - def increment(cls): Increment the value for a given sharded counter.

Implement the Python class `SimpleCounterShard` described below. Class description: Shards for the counter Method signatures and docstrings: - def get_count(cls): Retrieve the value for a given sharded counter. - def increment(cls): Increment the value for a given sharded counter. <|skeleton|> class SimpleCounterSha...

2e3f1bdce124738e1bed2e648826ca819e0bcc57

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SimpleCounterShard: """Shards for the counter""" def get_count(cls): """Retrieve the value for a given sharded counter.""" total = 0 for counter in SimpleCounterShard.objects.all(): total += counter.count return total def increment(cls): """Increme...

the_stack_v2_python_sparse

sharded_counters/models.py

WAYbetter/waybetter

train

2

3a616a8998906e15aaf0fbd321de8ddd69f2cd94

[ "query_params = {'query': ''.join((f'\"{item}\"' for item in query)), 'tweet.fields': 'id,text,attachments,author_id,conversation_id,created_at,public_metrics', 'expansions': 'attachments.media_keys,author_id', 'media.fields': 'media_key,type,url,public_metrics,alt_text', 'user.fields': 'id,name,username,created_at...

<|body_start_0|> query_params = {'query': ''.join((f'"{item}"' for item in query)), 'tweet.fields': 'id,text,attachments,author_id,conversation_id,created_at,public_metrics', 'expansions': 'attachments.media_keys,author_id', 'media.fields': 'media_key,type,url,public_metrics,alt_text', 'user.fields': 'id,name,u...

Client

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Client: def tweet_search(self, query: str, start_time: Optional[str], end_time: Optional[str], limit: Optional[int], next_token: Optional[str]) -> dict: """Gets tweets according to the query. Args: query: str - The query from the user. start_time: str - Start date from which the Tweets w...

stack_v2_sparse_classes_36k_train_003850

15,516

permissive

[ { "docstring": "Gets tweets according to the query. Args: query: str - The query from the user. start_time: str - Start date from which the Tweets will be provided. end_time: str - The most recent date to which the Tweets will be provided. limit: int - Maximum number of results to return. next_token: str - A va...

2

null

Implement the Python class `Client` described below. Class description: Implement the Client class. Method signatures and docstrings: - def tweet_search(self, query: str, start_time: Optional[str], end_time: Optional[str], limit: Optional[int], next_token: Optional[str]) -> dict: Gets tweets according to the query. A...

890def5a0e0ae8d6eaa538148249ddbc851dbb6b

<|skeleton|> class Client: def tweet_search(self, query: str, start_time: Optional[str], end_time: Optional[str], limit: Optional[int], next_token: Optional[str]) -> dict: """Gets tweets according to the query. Args: query: str - The query from the user. start_time: str - Start date from which the Tweets w...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Client: def tweet_search(self, query: str, start_time: Optional[str], end_time: Optional[str], limit: Optional[int], next_token: Optional[str]) -> dict: """Gets tweets according to the query. Args: query: str - The query from the user. start_time: str - Start date from which the Tweets will be provide...

the_stack_v2_python_sparse

Packs/Twitter/Integrations/Twitterv2/Twitterv2.py

demisto/content

train

1,023

97f992c43987d5bd4ccb1516bf0a4e7b15986bf7

[ "issue_tracker = helpers.get_issue_tracker_for_testcase(testcase)\nuser_email = helpers.get_user_email()\nif severity is not None:\n severity = helpers.cast(severity, int, 'Invalid value for security severity (%s).' % severity)\nadditional_ccs = []\nif cc_me:\n additional_ccs.append(user_email)\nissue_id, _ =...

<|body_start_0|> issue_tracker = helpers.get_issue_tracker_for_testcase(testcase) user_email = helpers.get_user_email() if severity is not None: severity = helpers.cast(severity, int, 'Invalid value for security severity (%s).' % severity) additional_ccs = [] if cc_me...

Handler that creates an issue.

Handler

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003851

1,941

permissive

[ { "docstring": "Create an issue.", "name": "create_issue", "signature": "def create_issue(testcase, severity, cc_me)" }, { "docstring": "Create an issue.", "name": "post", "signature": "def post(self, testcase)" } ]

2

stack_v2_sparse_classes_30k_train_000330

Implement the Python class `Handler` described below. Class description: Handler that creates an issue. Method signatures and docstrings: - def create_issue(testcase, severity, cc_me): Create an issue. - def post(self, testcase): Create an issue.

Implement the Python class `Handler` described below. Class description: Handler that creates an issue. Method signatures and docstrings: - def create_issue(testcase, severity, cc_me): Create an issue. - def post(self, testcase): Create an issue. <|skeleton|> class Handler: """Handler that creates an issue.""" ...

6501a839b27a264500244f32bace8bee4d5cb9a2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Handler: """Handler that creates an issue.""" def create_issue(testcase, severity, cc_me): """Create an issue.""" issue_tracker = helpers.get_issue_tracker_for_testcase(testcase) user_email = helpers.get_user_email() if severity is not None: severity = helpers....

the_stack_v2_python_sparse

src/appengine/handlers/testcase_detail/create_issue.py

google/clusterfuzz

train

5,420

de6d7857c25a32012dd9126a63611e5a27762f95

[ "if n == 2:\n return 1\nif n == 3:\n return 2\ndp = [0] * 60\ndp[2] = 2\ndp[3] = 3\nfor i in range(4, n + 1):\n dp[i] = max((dp[j] * dp[i - j] for j in range(2, i)))\nreturn dp[n]", "if n == 2:\n return 1\nif n == 3:\n return 2\nif n % 3 == 0:\n return 3 ** (n // 3)\nif n % 3 == 1:\n return 3...

<|body_start_0|> if n == 2: return 1 if n == 3: return 2 dp = [0] * 60 dp[2] = 2 dp[3] = 3 for i in range(4, n + 1): dp[i] = max((dp[j] * dp[i - j] for j in range(2, i))) return dp[n] <|end_body_0|> <|body_start_1|> if ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003852

1,411

no_license

[ { "docstring": "dp :type n: int :rtype: int", "name": "integerBreak", "signature": "def integerBreak(self, n)" }, { "docstring": "找规律发现，尽可能多拆一点3值最大如果n%3是1，最后的3凑成4 :param n: :return:", "name": "integerBreak2", "signature": "def integerBreak2(self, n)" } ]

2

stack_v2_sparse_classes_30k_train_004263

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def integerBreak(self, n): dp :type n: int :rtype: int - def integerBreak2(self, n): 找规律发现，尽可能多拆一点3值最大如果n%3是1，最后的3凑成4 :param n: :return:

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def integerBreak(self, n): dp :type n: int :rtype: int - def integerBreak2(self, n): 找规律发现，尽可能多拆一点3值最大如果n%3是1，最后的3凑成4 :param n: :return: <|skeleton|> class Solution: def i...

5d3574ccd282d0146c83c286ae28d8baaabd4910

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def integerBreak(self, n): """dp :type n: int :rtype: int""" if n == 2: return 1 if n == 3: return 2 dp = [0] * 60 dp[2] = 2 dp[3] = 3 for i in range(4, n + 1): dp[i] = max((dp[j] * dp[i - j] for j in range(2...

the_stack_v2_python_sparse

343_整数拆分.py

lovehhf/LeetCode

train

0

5418483303258c33b77b5e3f9eb7e07baf3a4053

[ "self.min = np.array([[8.05502, 9.66459], [-8.05502, 9.66459], [8.05502, -9.66459], [-8.05502, -9.66459]])\nself.value = np.array([-19.2085, -19.2085, -19.2085, -19.2085])\nself.domain = np.array([[-10, 10], [-10, 10]])\nself.n = 2\nself.smooth = False\nself.info = [True, False, False]\nself.latex_name = 'Holder Ta...

<|body_start_0|> self.min = np.array([[8.05502, 9.66459], [-8.05502, 9.66459], [8.05502, -9.66459], [-8.05502, -9.66459]]) self.value = np.array([-19.2085, -19.2085, -19.2085, -19.2085]) self.domain = np.array([[-10, 10], [-10, 10]]) self.n = 2 self.smooth = False self.in...

Holder Table Function.

HolderTable

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003853

1,303

no_license

[ { "docstring": "Constructor.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Cost function.", "name": "cost", "signature": "def cost(self, x)" } ]

2

stack_v2_sparse_classes_30k_train_017722

Implement the Python class `HolderTable` described below. Class description: Holder Table Function. Method signatures and docstrings: - def __init__(self): Constructor. - def cost(self, x): Cost function.

Implement the Python class `HolderTable` described below. Class description: Holder Table Function. Method signatures and docstrings: - def __init__(self): Constructor. - def cost(self, x): Cost function. <|skeleton|> class HolderTable: """Holder Table Function.""" def __init__(self): """Constructor...

f2a74df3ab01ac35ea8d80569da909ffa1e86af3

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HolderTable: """Holder Table Function.""" def __init__(self): """Constructor.""" self.min = np.array([[8.05502, 9.66459], [-8.05502, 9.66459], [8.05502, -9.66459], [-8.05502, -9.66459]]) self.value = np.array([-19.2085, -19.2085, -19.2085, -19.2085]) self.domain = np.array...

the_stack_v2_python_sparse

ctf/functions2d/holder_table.py

cntaylor/ctf

train

1

4a0ccd1db8edefb3234530c7d6ce1595e21c3a8e

[ "self.mode = mode\nif self.mode == 'interp':\n if nrb is None:\n nrb = 20\n if kind is None:\n kind = 'linear'\nelif self.mode == 'extrap':\n if nrb is None:\n nrb = 20\n if kind is None:\n kind = 'cubic'\nelse:\n raise NotImplementedError()\nself.kind = kind\nls_pre = np....

<|body_start_0|> self.mode = mode if self.mode == 'interp': if nrb is None: nrb = 20 if kind is None: kind = 'linear' elif self.mode == 'extrap': if nrb is None: nrb = 20 if kind is None: ...

ClInterpolator

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ClInterpolator: def __init__(self, lb, lmax, mode='interp', nrb=None, nb_dex_extrap_lo=10, kind=None): """Interpolator for angular power spectra lb : central bandpower ells nrb : re-binning factor for ells within the range of the bandpowers nb_dex_extrap_lo : number of ells per decade fo...

stack_v2_sparse_classes_36k_train_003854

3,247

no_license

[ { "docstring": "Interpolator for angular power spectra lb : central bandpower ells nrb : re-binning factor for ells within the range of the bandpowers nb_dex_extrap_lo : number of ells per decade for ells below the range of the bandpowers kind : interpolation type Extrapolation at high ell will be done assuming...

2

stack_v2_sparse_classes_30k_train_017906

Implement the Python class `ClInterpolator` described below. Class description: Implement the ClInterpolator class. Method signatures and docstrings: - def __init__(self, lb, lmax, mode='interp', nrb=None, nb_dex_extrap_lo=10, kind=None): Interpolator for angular power spectra lb : central bandpower ells nrb : re-bin...

724b3fa28fa68d21ea006ee9d2620b4ecd4b6107

<|skeleton|> class ClInterpolator: def __init__(self, lb, lmax, mode='interp', nrb=None, nb_dex_extrap_lo=10, kind=None): """Interpolator for angular power spectra lb : central bandpower ells nrb : re-binning factor for ells within the range of the bandpowers nb_dex_extrap_lo : number of ells per decade fo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ClInterpolator: def __init__(self, lb, lmax, mode='interp', nrb=None, nb_dex_extrap_lo=10, kind=None): """Interpolator for angular power spectra lb : central bandpower ells nrb : re-binning factor for ells within the range of the bandpowers nb_dex_extrap_lo : number of ells per decade for ells below t...

the_stack_v2_python_sparse

theory/theory_util.py

LBJ-Wade/GSKY

train

0

13adbd71a8d284731cb1b1e8db73a33285274c77

[ "from IPython import get_ipython\nif mode == 'new':\n text = '\\n{\"activity\": \"poll\",\\n \"instructors\": [\"YOUR ID HERE\"],\\n \"items\": [\\n {\"id\": \"1\",\\n \"question\": \"\"\"When it comes to learning, metacognition (e.g., thinking about thinking) can be just as important as intelligence...

<|body_start_0|> from IPython import get_ipython if mode == 'new': text = '\n{"activity": "poll",\n "instructors": ["YOUR ID HERE"],\n "items": [\n {"id": "1",\n "question": """When it comes to learning, metacognition (e.g., thinking about thinking) can be just as important as in...

ActivityMagic

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ActivityMagic: def line_activity(self, filename, mode=None): """%activity FILENAME - run a widget-based activity (poll, classroom response, clicker-like activity) This magic will load the JSON in the filename. Examples: %activity /home/teacher/activity1 %activity /home/teacher/activity1 ...

stack_v2_sparse_classes_36k_train_003855

12,898

permissive

[ { "docstring": "%activity FILENAME - run a widget-based activity (poll, classroom response, clicker-like activity) This magic will load the JSON in the filename. Examples: %activity /home/teacher/activity1 %activity /home/teacher/activity1 new %activity /home/teacher/activity1 edit", "name": "line_activity"...

2

stack_v2_sparse_classes_30k_train_017098

Implement the Python class `ActivityMagic` described below. Class description: Implement the ActivityMagic class. Method signatures and docstrings: - def line_activity(self, filename, mode=None): %activity FILENAME - run a widget-based activity (poll, classroom response, clicker-like activity) This magic will load th...

3f80af24033ccb8fabe930d8c25a88a3c891f3e0

<|skeleton|> class ActivityMagic: def line_activity(self, filename, mode=None): """%activity FILENAME - run a widget-based activity (poll, classroom response, clicker-like activity) This magic will load the JSON in the filename. Examples: %activity /home/teacher/activity1 %activity /home/teacher/activity1 ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ActivityMagic: def line_activity(self, filename, mode=None): """%activity FILENAME - run a widget-based activity (poll, classroom response, clicker-like activity) This magic will load the JSON in the filename. Examples: %activity /home/teacher/activity1 %activity /home/teacher/activity1 new %activity ...

the_stack_v2_python_sparse

metakernel/magics/activity_magic.py

Calysto/metakernel

train

326

435f48322403ca8e571f3bccfe8cc3a0a1677b7e

[ "super().__init__()\nself.frequency = frequency\nself.length = length\nself.type = type", "mother_wavelet = self.type\nspread = np.arange(1, self.length + 1, 1)\nscales = central_frequency(mother_wavelet) * self.frequency / spread\ncoeffs, _ = cwt(signal, scales, mother_wavelet, 1.0 / self.frequency)\ncoeffs = np...

Generate continuous wavelet transform of a signal

SignalContinuousWavelet

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SignalContinuousWavelet: """Generate continuous wavelet transform of a signal""" def __init__(self, type: str='mexh', length: float=125.0, frequency: float=500.0) -> None: """Args: type: mother wavelet type. Available options are: {``"mexh"``, ``"morl"``, ``"cmorB-C"``, , ``"gausP"``...

stack_v2_sparse_classes_36k_train_003856

16,322

permissive

[ { "docstring": "Args: type: mother wavelet type. Available options are: {``\"mexh\"``, ``\"morl\"``, ``\"cmorB-C\"``, , ``\"gausP\"``} see : https://pywavelets.readthedocs.io/en/latest/ref/cwt.html length: expected length, default ``125.0`` frequency: signal frequency, default ``500.0``", "name": "__init__"...

2

stack_v2_sparse_classes_30k_test_000223

Implement the Python class `SignalContinuousWavelet` described below. Class description: Generate continuous wavelet transform of a signal Method signatures and docstrings: - def __init__(self, type: str='mexh', length: float=125.0, frequency: float=500.0) -> None: Args: type: mother wavelet type. Available options a...

e48c3e2c741fa3fc705c4425d17ac4a5afac6c47

<|skeleton|> class SignalContinuousWavelet: """Generate continuous wavelet transform of a signal""" def __init__(self, type: str='mexh', length: float=125.0, frequency: float=500.0) -> None: """Args: type: mother wavelet type. Available options are: {``"mexh"``, ``"morl"``, ``"cmorB-C"``, , ``"gausP"``...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SignalContinuousWavelet: """Generate continuous wavelet transform of a signal""" def __init__(self, type: str='mexh', length: float=125.0, frequency: float=500.0) -> None: """Args: type: mother wavelet type. Available options are: {``"mexh"``, ``"morl"``, ``"cmorB-C"``, , ``"gausP"``} see : https...

the_stack_v2_python_sparse

monai/transforms/signal/array.py

Project-MONAI/MONAI

train

4,805

dc0f5903b7938032e112e360f545c1ca8c817e15

[ "self.interval = interval\nself.packetizer = packetizer\nthread = threading.Thread(target=self.run, args=())\nthread.daemon = True\nthread.start()", "Handler = WebServerHandler\nhttpd = SocketServer.TCPServer(('', 8099), WebServerHandler)\nhttpd.packetizer = self.packetizer\nhttpd.serve_forever()" ]

WebServer class Run as thread

WebServer

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003857

3,280

permissive

[ { "docstring": "Constructor :type interval: int :param interval: Check interval, in seconds", "name": "__init__", "signature": "def __init__(self, packetizer, interval=1)" }, { "docstring": "Method that runs forever", "name": "run", "signature": "def run(self)" } ]

2

stack_v2_sparse_classes_30k_train_014627

Implement the Python class `WebServer` described below. Class description: WebServer class Run as thread Method signatures and docstrings: - def __init__(self, packetizer, interval=1): Constructor :type interval: int :param interval: Check interval, in seconds - def run(self): Method that runs forever

Implement the Python class `WebServer` described below. Class description: WebServer class Run as thread Method signatures and docstrings: - def __init__(self, packetizer, interval=1): Constructor :type interval: int :param interval: Check interval, in seconds - def run(self): Method that runs forever <|skeleton|> c...

8a22b175e394f56bbb28b29baec9c046ccc8e7e2

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class WebServer: """WebServer class Run as thread""" def __init__(self, packetizer, interval=1): """Constructor :type interval: int :param interval: Check interval, in seconds""" self.interval = interval self.packetizer = packetizer thread = threading.Thread(target=self.run, arg...

the_stack_v2_python_sparse

libwavesync/webserver.py

ddimension/WaveSync

train

0

50b1da5d007440d99f76fc1609e9bd2a2968b7ed

[ "if len(nums) == 0:\n return []\nif len(nums) == 1:\n return ['Gold Medal']\nif len(nums) == 2:\n if nums[0] > nums[1]:\n return ['Gold Medal', 'Silver Medal']\n else:\n return ['Silver Medal', 'Gold Medal']\nnum1 = sorted(nums)[::-1]\ndic = {num: str(i + 1) for i, num in enumerate(num1)}\...

<|body_start_0|> if len(nums) == 0: return [] if len(nums) == 1: return ['Gold Medal'] if len(nums) == 2: if nums[0] > nums[1]: return ['Gold Medal', 'Silver Medal'] else: return ['Silver Medal', 'Gold Medal'] ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003858

3,026

no_license

[ { "docstring": ":type nums: List[int] :rtype: List[str]", "name": "findRelativeRanks", "signature": "def findRelativeRanks(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: List[str]", "name": "findRelativeRanks2", "signature": "def findRelativeRanks2(self, nums)" }, { ...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findRelativeRanks(self, nums): :type nums: List[int] :rtype: List[str] - def findRelativeRanks2(self, nums): :type nums: List[int] :rtype: List[str] - def findRelativeRanks_w...

3f0ffd519404165fd1a735441b212c801fd1ad1e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findRelativeRanks(self, nums): """:type nums: List[int] :rtype: List[str]""" if len(nums) == 0: return [] if len(nums) == 1: return ['Gold Medal'] if len(nums) == 2: if nums[0] > nums[1]: return ['Gold Medal', 'S...

the_stack_v2_python_sparse

Problems/0500_0599/0506_Relative_Ranks/Project_Python3/Relative_Ranks.py

NobuyukiInoue/LeetCode

train

0

a691369c1cb1bf714c508b7daafb7694cee28f18

[ "if not root:\n return []\nqueue = collections.deque([root])\nres = []\nwhile queue:\n size = len(queue)\n for i in range(size):\n node = queue.pop()\n if node:\n res.append(node.val)\n queue.appendleft(node.left)\n queue.appendleft(node.right)\n else:\...

<|body_start_0|> if not root: return [] queue = collections.deque([root]) res = [] while queue: size = len(queue) for i in range(size): node = queue.pop() if node: res.append(node.val) ...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003859

1,777

no_license

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

2

null

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

1d8821da01c9c200732a6b7037b8631689e2f7e7

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root): """Encodes a tree to a single string. :type root: TreeNode :rtype: str""" if not root: return [] queue = collections.deque([root]) res = [] while queue: size = len(queue) for i in range(size): ...

the_stack_v2_python_sparse

Leetcode0297_Queue.py

xiaojinghu/Leetcode

train

0

54f12e29aa7069ad830d167e997a4436f1016a5c

[ "self.filename = filename\nf = open(self.filename)\nline = f.readline()\nadditional_parameters = {}\nif '.' not in line:\n additional_parameters['dtype'] = np.int32\nself.data = np.loadtxt(self.filename, **additional_parameters)\nif len(self.data.shape) == 1:\n self.data = self.data[:, np.newaxis]", "if col...

<|body_start_0|> self.filename = filename f = open(self.filename) line = f.readline() additional_parameters = {} if '.' not in line: additional_parameters['dtype'] = np.int32 self.data = np.loadtxt(self.filename, **additional_parameters) if len(self.da...

Class for reading an ASCII file containing multiple columns of data.

ColumnIO

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ColumnIO: """Class for reading an ASCII file containing multiple columns of data.""" def __init__(self, filename): """filename: string, path to ASCII file to read.""" <|body_0|> def get_columns(self, column_ids='all', condition=None, condition_column=None, sorting_column...

stack_v2_sparse_classes_36k_train_003860

31,911

permissive

[ { "docstring": "filename: string, path to ASCII file to read.", "name": "__init__", "signature": "def __init__(self, filename)" }, { "docstring": "column_ids : 'all' or list of int, the ids of columns to extract. condition : None or function, which is applied to each row to evaluate if it should...

2

stack_v2_sparse_classes_30k_train_010360

Implement the Python class `ColumnIO` described below. Class description: Class for reading an ASCII file containing multiple columns of data. Method signatures and docstrings: - def __init__(self, filename): filename: string, path to ASCII file to read. - def get_columns(self, column_ids='all', condition=None, condi...

354c8d9d5fbc4daad3547773d2f281f8c163d208

<|skeleton|> class ColumnIO: """Class for reading an ASCII file containing multiple columns of data.""" def __init__(self, filename): """filename: string, path to ASCII file to read.""" <|body_0|> def get_columns(self, column_ids='all', condition=None, condition_column=None, sorting_column...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ColumnIO: """Class for reading an ASCII file containing multiple columns of data.""" def __init__(self, filename): """filename: string, path to ASCII file to read.""" self.filename = filename f = open(self.filename) line = f.readline() additional_parameters = {} ...

the_stack_v2_python_sparse

neo/io/nestio.py

NeuralEnsemble/python-neo

train

265

b13c9679d7530c4726ac8fc28454fecd4e7b538f

[ "n = np.real(n)\nd = 4 * np.sin(th / 2) ** 2 / (3 * (n - 1) ** 2)\nd_180 = 4 * np.sin(np.pi / 2) / (3 * (n - 1) ** 2)\nv = (3 - mu) / 2\ndv = d ** v\nd_180v = d_180 ** v\nd1 = 1 - d\ndv1 = 1 - dv\na = 1 / (4 * np.pi * dv * d1 ** 2)\nb = v * d1 - dv1 + (d * dv1 - v * d1) * np.sin(th / 2) ** (-2)\nc = (1 - d_180v) * ...

<|body_start_0|> n = np.real(n) d = 4 * np.sin(th / 2) ** 2 / (3 * (n - 1) ** 2) d_180 = 4 * np.sin(np.pi / 2) / (3 * (n - 1) ** 2) v = (3 - mu) / 2 dv = d ** v d_180v = d_180 ** v d1 = 1 - d dv1 = 1 - dv a = 1 / (4 * np.pi * dv * d1 ** 2) ...

Scattering

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Scattering: def vspf_fournier(th, n, mu): """Volume scattering phase function, Fournier & Forand (1999), Fournier & Jonasz (1999) Parameters: th = scattering angle n = index of refraction of particle, only the real part is used mu = slope of hyperbolic distribution of particle sizes, typ...

stack_v2_sparse_classes_36k_train_003861

14,976

no_license

[ { "docstring": "Volume scattering phase function, Fournier & Forand (1999), Fournier & Jonasz (1999) Parameters: th = scattering angle n = index of refraction of particle, only the real part is used mu = slope of hyperbolic distribution of particle sizes, typically 3-5", "name": "vspf_fournier", "signat...

2

stack_v2_sparse_classes_30k_train_011886

Implement the Python class `Scattering` described below. Class description: Implement the Scattering class. Method signatures and docstrings: - def vspf_fournier(th, n, mu): Volume scattering phase function, Fournier & Forand (1999), Fournier & Jonasz (1999) Parameters: th = scattering angle n = index of refraction o...

bb86d8408741750266eda4c88ef3211e9dfb7caa

<|skeleton|> class Scattering: def vspf_fournier(th, n, mu): """Volume scattering phase function, Fournier & Forand (1999), Fournier & Jonasz (1999) Parameters: th = scattering angle n = index of refraction of particle, only the real part is used mu = slope of hyperbolic distribution of particle sizes, typ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Scattering: def vspf_fournier(th, n, mu): """Volume scattering phase function, Fournier & Forand (1999), Fournier & Jonasz (1999) Parameters: th = scattering angle n = index of refraction of particle, only the real part is used mu = slope of hyperbolic distribution of particle sizes, typically 3-5""" ...

the_stack_v2_python_sparse

polarization.py

GuangyuanZhao/ee239as

train

1

ff62a00479ce55ad8b065a4c0d727dc50b63ba66

[ "if len(args) == 1 and isinstance(args[0], (list, tuple)):\n return self.find(*args[0])\nelif not all((isinstance(predicate, six.string_types) for predicate in args)):\n raise TypeError('predicates must all be strings')\nnew_list = copy.deepcopy(self)\nfor predicate in args:\n try:\n key, operator, ...

<|body_start_0|> if len(args) == 1 and isinstance(args[0], (list, tuple)): return self.find(*args[0]) elif not all((isinstance(predicate, six.string_types) for predicate in args)): raise TypeError('predicates must all be strings') new_list = copy.deepcopy(self) fo...

_LazyList

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _LazyList: def find(self, *args): """Gets the results from this collection that match input predicates. A predicate is a string containing a simple boolean expression consisting of: - a dot-delimited property such as ``metrics.accuracy`` - a Python boolean operator such as ``>=`` - a lit...

stack_v2_sparse_classes_36k_train_003862

5,162

permissive

[ { "docstring": "Gets the results from this collection that match input predicates. A predicate is a string containing a simple boolean expression consisting of: - a dot-delimited property such as ``metrics.accuracy`` - a Python boolean operator such as ``>=`` - a literal value such as ``.8`` Parameters --------...

2

stack_v2_sparse_classes_30k_train_014190

Implement the Python class `_LazyList` described below. Class description: Implement the _LazyList class. Method signatures and docstrings: - def find(self, *args): Gets the results from this collection that match input predicates. A predicate is a string containing a simple boolean expression consisting of: - a dot-...

ec9ac7712500adb13fd815dfd476ce9f536c6921

<|skeleton|> class _LazyList: def find(self, *args): """Gets the results from this collection that match input predicates. A predicate is a string containing a simple boolean expression consisting of: - a dot-delimited property such as ``metrics.accuracy`` - a Python boolean operator such as ``>=`` - a lit...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _LazyList: def find(self, *args): """Gets the results from this collection that match input predicates. A predicate is a string containing a simple boolean expression consisting of: - a dot-delimited property such as ``metrics.accuracy`` - a Python boolean operator such as ``>=`` - a literal value suc...

the_stack_v2_python_sparse

client/verta/verta/_bases/_lazy_list.py

VertaAI/modeldb

train

844

50b676de636bbed5272c4c0fea2f790feea5fc4c

[ "t = self.observation['t']\nx, y = model.get_x_y(t)\nreturn {'t': t, 'x': x, 'y': y}", "delta_x = observation['x'] - prediction['x']\ndelta_y = observation['y'] - prediction['y']\nerror = np.sqrt(delta_x ** 2 + delta_y ** 2)\npassing = bool(error < 100000.0 * pq.kilometer)\nscore = self.score_type(passing)\nscore...

<|body_start_0|> t = self.observation['t'] x, y = model.get_x_y(t) return {'t': t, 'x': x, 'y': y} <|end_body_0|> <|body_start_1|> delta_x = observation['x'] - prediction['x'] delta_y = observation['y'] - prediction['y'] error = np.sqrt(delta_x ** 2 + delta_y ** 2) ...

A test of a planetary position at some specified time.

PositionTest

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PositionTest: """A test of a planetary position at some specified time.""" def generate_prediction(self, model): """Generate a prediction from a model.""" <|body_0|> def compute_score(self, observation, prediction): """Compute a test score based on the agreement ...

stack_v2_sparse_classes_36k_train_003863

4,646

no_license

[ { "docstring": "Generate a prediction from a model.", "name": "generate_prediction", "signature": "def generate_prediction(self, model)" }, { "docstring": "Compute a test score based on the agreement between the observation (data) and prediction (model).", "name": "compute_score", "signa...

2

stack_v2_sparse_classes_30k_train_009085

Implement the Python class `PositionTest` described below. Class description: A test of a planetary position at some specified time. Method signatures and docstrings: - def generate_prediction(self, model): Generate a prediction from a model. - def compute_score(self, observation, prediction): Compute a test score ba...

624bf82ce5c610c2ca83a0c4c49d3f4d0b92a1e2

<|skeleton|> class PositionTest: """A test of a planetary position at some specified time.""" def generate_prediction(self, model): """Generate a prediction from a model.""" <|body_0|> def compute_score(self, observation, prediction): """Compute a test score based on the agreement ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PositionTest: """A test of a planetary position at some specified time.""" def generate_prediction(self, model): """Generate a prediction from a model.""" t = self.observation['t'] x, y = model.get_x_y(t) return {'t': t, 'x': x, 'y': y} def compute_score(self, observa...

the_stack_v2_python_sparse

unittest/sciunittest.py

HussainAther/neuroscience

train

9

f7ae175e4469df13a6fc6f4f6b73c5c421e34edc

[ "l = len(nums)\nr = []\ni = 0\nwhile i < l:\n j = i + 1\n t = -1\n while j < l + i:\n if nums[j % l] > nums[i]:\n t = nums[j % l]\n break\n j += 1\n r.append(t)\n i += 1\nreturn r", "s = []\nl = len(nums)\nr = [-1] * l\ni = 2 * l - 1\nwhile i >= 0:\n while len...

<|body_start_0|> l = len(nums) r = [] i = 0 while i < l: j = i + 1 t = -1 while j < l + i: if nums[j % l] > nums[i]: t = nums[j % l] break j += 1 r.append(t) ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003864

905

no_license

[ { "docstring": ":type nums: List[int] :rtype: List[int]", "name": "nextGreaterElements1", "signature": "def nextGreaterElements1(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: List[int]", "name": "nextGreaterElements", "signature": "def nextGreaterElements(self, nums)" }...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def nextGreaterElements1(self, nums): :type nums: List[int] :rtype: List[int] - def nextGreaterElements(self, nums): :type nums: List[int] :rtype: List[int]

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def nextGreaterElements1(self, nums): :type nums: List[int] :rtype: List[int] - def nextGreaterElements(self, nums): :type nums: List[int] :rtype: List[int] <|skeleton|> class S...

e5b018493bbd12edcdcd0434f35d9c358106d391

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def nextGreaterElements1(self, nums): """:type nums: List[int] :rtype: List[int]""" l = len(nums) r = [] i = 0 while i < l: j = i + 1 t = -1 while j < l + i: if nums[j % l] > nums[i]: t = ...

the_stack_v2_python_sparse

py/leetcode/503.py

wfeng1991/learnpy

train

0

5e9809d1bb25870b5ceb87f6e946ee0685ee3177

[ "self.validate_parameters(country_code=country_code)\n_query_builder = Configuration.get_base_uri()\n_query_builder += '/information/geodata/countries/{countryCode}/subdivisions'\n_query_builder = APIHelper.append_url_with_template_parameters(_query_builder, {'countryCode': country_code})\n_query_parameters = {'lan...

<|body_start_0|> self.validate_parameters(country_code=country_code) _query_builder = Configuration.get_base_uri() _query_builder += '/information/geodata/countries/{countryCode}/subdivisions' _query_builder = APIHelper.append_url_with_template_parameters(_query_builder, {'countryCode': ...

A Controller to access Endpoints in the idfy_rest_client API.

GeoDataController

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GeoDataController: """A Controller to access Endpoints in the idfy_rest_client API.""" def list_country_subdivisions(self, country_code, lang=None): """Does a GET request to /information/geodata/countries/{countryCode}/subdivisions. Retrieves a list over top level administrative subd...

stack_v2_sparse_classes_36k_train_003865

6,016

permissive

[ { "docstring": "Does a GET request to /information/geodata/countries/{countryCode}/subdivisions. Retrieves a list over top level administrative subdivisions for a country with name and ISO 3166-2 region code Args: country_code (string): ISO 3166-1 country code to look up lang (string, optional): Language for re...

3

stack_v2_sparse_classes_30k_train_020063

Implement the Python class `GeoDataController` described below. Class description: A Controller to access Endpoints in the idfy_rest_client API. Method signatures and docstrings: - def list_country_subdivisions(self, country_code, lang=None): Does a GET request to /information/geodata/countries/{countryCode}/subdivis...

fa3918a6c54ea0eedb9146578645b7eb1755b642

<|skeleton|> class GeoDataController: """A Controller to access Endpoints in the idfy_rest_client API.""" def list_country_subdivisions(self, country_code, lang=None): """Does a GET request to /information/geodata/countries/{countryCode}/subdivisions. Retrieves a list over top level administrative subd...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GeoDataController: """A Controller to access Endpoints in the idfy_rest_client API.""" def list_country_subdivisions(self, country_code, lang=None): """Does a GET request to /information/geodata/countries/{countryCode}/subdivisions. Retrieves a list over top level administrative subdivisions for ...

the_stack_v2_python_sparse

idfy_rest_client/controllers/geo_data_controller.py

dealflowteam/Idfy

train

0

9a68fd46635c7eaf7791ea603f811d3cd2016cf1

[ "if not prices:\n return 0\nINT_MAX = 2147483647\nmaxPro = 0\nminPrice = INT_MAX\nfor i in range(len(prices)):\n minPrice = min(minPrice, prices[i])\n maxPro = max(maxPro, prices[i] - minPrice)\nreturn maxPro", "result = 0\nINF = float('inf')\nmin_price = INF\nfor p in prices:\n min_price = min(min_pr...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003866

736

no_license

[ { "docstring": ":type prices: List[int] :rtype: int", "name": "maxProfit", "signature": "def maxProfit(self, prices)" }, { "docstring": ":type prices: List[int] :rtype: int", "name": "maxProfit_self", "signature": "def maxProfit_self(self, prices)" } ]

2

stack_v2_sparse_classes_30k_train_021519

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

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

ea492ec864b50547214ecbbb2cdeeac21e70229b

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxProfit(self, prices): """:type prices: List[int] :rtype: int""" if not prices: return 0 INT_MAX = 2147483647 maxPro = 0 minPrice = INT_MAX for i in range(len(prices)): minPrice = min(minPrice, prices[i]) maxPr...

the_stack_v2_python_sparse

121_best_time_to_buy_and_sell_stock/sol.py

lianke123321/leetcode_sol

train

0

f4889128b9464fb50f0ede0735e8a6124924cd0a

[ "master = Tk()\nmaster.title('CsvViewer')\nmaster.geometry('1000x400')\nself.view = CSVView(master)\nself.logic = CSVLogic()\nself.view.setReadButtonCommand(self.readButtonCommand)\nmaster.mainloop()", "columns, datas = self.readCsv()\nself.view.setNewColumnAndData(columns, datas)\nself.view.setSaveButtonCommand(...

csvViewerのコントローラー

CSVControl

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003867

3,655

no_license

[ { "docstring": "アプリの立ち上げとイベント登録", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "csv読み込みボタン用コマンド csvから取得した列名、データをViewに反映する。 csvが変更されるごとにRowDataフレームがリロードされるので、保存ボタンコマンドも再設定", "name": "readButtonCommand", "signature": "def readButtonCommand(self)" }, { "d...

4

stack_v2_sparse_classes_30k_train_007684

Implement the Python class `CSVControl` described below. Class description: csvViewerのコントローラー Method signatures and docstrings: - def __init__(self): アプリの立ち上げとイベント登録 - def readButtonCommand(self): csv読み込みボタン用コマンド csvから取得した列名、データをViewに反映する。 csvが変更されるごとにRowDataフレームがリロードされるので、保存ボタンコマンドも再設定 - def saveButtonCommand(self)...

5c8d345ac83a908e9513ba21fc8164a3575d4ce6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CSVControl: """csvViewerのコントローラー""" def __init__(self): """アプリの立ち上げとイベント登録""" master = Tk() master.title('CsvViewer') master.geometry('1000x400') self.view = CSVView(master) self.logic = CSVLogic() self.view.setReadButtonCommand(self.readButtonComma...

the_stack_v2_python_sparse

CsvViewer/csvcontrol.py

SuzuTakahiro/SampleProject

train

0

fdda69ad1936bf4ab96633eab342d3d044c13bbe

[ "self.bucket_info = bucket_info\nself.cluster_info = cluster_info\nself.name = name\nself.mtype = mtype\nself.uuid = uuid", "if dictionary is None:\n return None\nbucket_info = cohesity_management_sdk.models.couchbase_bucket.CouchbaseBucket.from_dictionary(dictionary.get('bucketInfo')) if dictionary.get('bucke...

Implementation of the 'CouchbaseProtectionSource' model. Specifies an Object representing Couchbase. Attributes: bucket_info (CouchbaseBucket): Information of a Couchbase Bucket, only valid for an entity of type kBucket. cluster_info (CouchbaseCluster): Information of a couchbase cluster, only valid for an entity of ty...

CouchbaseProtectionSource

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CouchbaseProtectionSource: """Implementation of the 'CouchbaseProtectionSource' model. Specifies an Object representing Couchbase. Attributes: bucket_info (CouchbaseBucket): Information of a Couchbase Bucket, only valid for an entity of type kBucket. cluster_info (CouchbaseCluster): Information o...

stack_v2_sparse_classes_36k_train_003868

3,036

permissive

[ { "docstring": "Constructor for the CouchbaseProtectionSource class", "name": "__init__", "signature": "def __init__(self, bucket_info=None, cluster_info=None, name=None, mtype=None, uuid=None)" }, { "docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary):...

2

stack_v2_sparse_classes_30k_train_018125

Implement the Python class `CouchbaseProtectionSource` described below. Class description: Implementation of the 'CouchbaseProtectionSource' model. Specifies an Object representing Couchbase. Attributes: bucket_info (CouchbaseBucket): Information of a Couchbase Bucket, only valid for an entity of type kBucket. cluster...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class CouchbaseProtectionSource: """Implementation of the 'CouchbaseProtectionSource' model. Specifies an Object representing Couchbase. Attributes: bucket_info (CouchbaseBucket): Information of a Couchbase Bucket, only valid for an entity of type kBucket. cluster_info (CouchbaseCluster): Information o...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CouchbaseProtectionSource: """Implementation of the 'CouchbaseProtectionSource' model. Specifies an Object representing Couchbase. Attributes: bucket_info (CouchbaseBucket): Information of a Couchbase Bucket, only valid for an entity of type kBucket. cluster_info (CouchbaseCluster): Information of a couchbase...

the_stack_v2_python_sparse

cohesity_management_sdk/models/couchbase_protection_source.py

cohesity/management-sdk-python

train

24

11475faad8630a53794bddbb026a9bcedc1d8f2b

[ "data = self.get_json()\nwith self.Session() as session:\n run_id = post_observing_run(data, self.associated_user_object.id, session)\n return self.success(data={'id': run_id})", "with self.Session() as session:\n if run_id is not None:\n options = [joinedload(ObservingRun.assignments).joinedload(...

<|body_start_0|> data = self.get_json() with self.Session() as session: run_id = post_observing_run(data, self.associated_user_object.id, session) return self.success(data={'id': run_id}) <|end_body_0|> <|body_start_1|> with self.Session() as session: if run_...

ObservingRunHandler

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ObservingRunHandler: def post(self): """--- description: Add a new observing run tags: - observing_runs requestBody: content: application/json: schema: ObservingRunPost responses: 200: content: application/json: schema: allOf: - $ref: '#/components/schemas/Success' - type: object propert...

stack_v2_sparse_classes_36k_train_003869

8,999

permissive

[ { "docstring": "--- description: Add a new observing run tags: - observing_runs requestBody: content: application/json: schema: ObservingRunPost responses: 200: content: application/json: schema: allOf: - $ref: '#/components/schemas/Success' - type: object properties: data: type: object properties: id: type: in...

4

stack_v2_sparse_classes_30k_train_005660

Implement the Python class `ObservingRunHandler` described below. Class description: Implement the ObservingRunHandler class. Method signatures and docstrings: - def post(self): --- description: Add a new observing run tags: - observing_runs requestBody: content: application/json: schema: ObservingRunPost responses: ...

161d3532ba3ba059446addcdac58ca96f39e9636

<|skeleton|> class ObservingRunHandler: def post(self): """--- description: Add a new observing run tags: - observing_runs requestBody: content: application/json: schema: ObservingRunPost responses: 200: content: application/json: schema: allOf: - $ref: '#/components/schemas/Success' - type: object propert...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ObservingRunHandler: def post(self): """--- description: Add a new observing run tags: - observing_runs requestBody: content: application/json: schema: ObservingRunPost responses: 200: content: application/json: schema: allOf: - $ref: '#/components/schemas/Success' - type: object properties: data: typ...

the_stack_v2_python_sparse

skyportal/handlers/api/observingrun.py

skyportal/skyportal

train

80

50f6f3c62eca747fe5faf434fc4c9a19b0b795d3

[ "if any(nums):\n from functools import cmp_to_key\n nums = sorted([str(x) for x in nums], key=cmp_to_key(lambda x, y: int(x + y) - int(y + x)), reverse=True)\n return ''.join(nums)\nreturn '0'", "def quickSort(nums):\n if not nums:\n return []\n l = quickSort([x for x in nums if int(x + nums...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003870

1,648

no_license

[ { "docstring": "python使用sorted的cmp_to_key参数自定义排序规则,python2可以直接用cmp参数。 :type nums: List[int] :rtype: str", "name": "largestNumber", "signature": "def largestNumber(self, nums)" }, { "docstring": "三路快排 :type nums: List[int] :rtype: str", "name": "largestNumber2", "signature": "def largestN...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def largestNumber(self, nums): python使用sorted的cmp_to_key参数自定义排序规则,python2可以直接用cmp参数。 :type nums: List[int] :rtype: str - def largestNumber2(self, nums): 三路快排 :type nums: List[int...

5d3574ccd282d0146c83c286ae28d8baaabd4910

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def largestNumber(self, nums): """python使用sorted的cmp_to_key参数自定义排序规则,python2可以直接用cmp参数。 :type nums: List[int] :rtype: str""" if any(nums): from functools import cmp_to_key nums = sorted([str(x) for x in nums], key=cmp_to_key(lambda x, y: int(x + y) - int(y + x...

the_stack_v2_python_sparse

179_最大数.py

lovehhf/LeetCode

train

0

29e45e41330a187e501662ae57fd30b54002cbdf

[ "super(EncoderDecoderReconstructor, self).__init__(conf, output_dim, name)\nself.encoder = encoder_factory.factory(conf)\nself.decoder = asr_decoder_factory.factory(conf, self.output_dim[0])\nself.reconstructor = reconstructor_factory.factory(conf, self.output_dim[1])", "std_input_noise = float(self.conf['std_inp...

<|body_start_0|> super(EncoderDecoderReconstructor, self).__init__(conf, output_dim, name) self.encoder = encoder_factory.factory(conf) self.decoder = asr_decoder_factory.factory(conf, self.output_dim[0]) self.reconstructor = reconstructor_factory.factory(conf, self.output_dim[1]) <|end_...

a general class for an encoder decoder reconstructor system

EncoderDecoderReconstructor

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EncoderDecoderReconstructor: """a general class for an encoder decoder reconstructor system""" def __init__(self, conf, output_dim, name=None): """Constructor for this kind of object Args: conf: The classifier configuration output_dim: the classifier output dimension as a tuple of th...

stack_v2_sparse_classes_36k_train_003871

4,738

permissive

[ { "docstring": "Constructor for this kind of object Args: conf: The classifier configuration output_dim: the classifier output dimension as a tuple of the dimension of the actual outputs and the dimension of the quantized reconstructed audio samples name: the classifier name", "name": "__init__", "signa...

2

stack_v2_sparse_classes_30k_train_011166

Implement the Python class `EncoderDecoderReconstructor` described below. Class description: a general class for an encoder decoder reconstructor system Method signatures and docstrings: - def __init__(self, conf, output_dim, name=None): Constructor for this kind of object Args: conf: The classifier configuration out...

09586e57bf4c6d29a6679e9bb3a488e09451f08e

<|skeleton|> class EncoderDecoderReconstructor: """a general class for an encoder decoder reconstructor system""" def __init__(self, conf, output_dim, name=None): """Constructor for this kind of object Args: conf: The classifier configuration output_dim: the classifier output dimension as a tuple of th...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EncoderDecoderReconstructor: """a general class for an encoder decoder reconstructor system""" def __init__(self, conf, output_dim, name=None): """Constructor for this kind of object Args: conf: The classifier configuration output_dim: the classifier output dimension as a tuple of the dimension o...

the_stack_v2_python_sparse

nabu/neuralnetworks/classifiers/asr/encoder_decoder_reconstructor.py

chenxinglili/nabu

train

0

e642a4f58a4ce4b28524aa4b0a6ca77da752a42d

[ "try:\n import annoy\nexcept ImportError:\n raise ValueError('Using `AnnoyNearestNeighbors` requires installing the annoy module. If pip is installed, this can be done with `pip install --user annoy`.')\nself.num_trees = num_trees", "import annoy\ndata = data.view((len(data), -1))\nprojection_dim = data.sha...

<|body_start_0|> try: import annoy except ImportError: raise ValueError('Using `AnnoyNearestNeighbors` requires installing the annoy module. If pip is installed, this can be done with `pip install --user annoy`.') self.num_trees = num_trees <|end_body_0|> <|body_start_1|...

This is an implementation of `NearestNeighbors` that uses the Annoy module. At a high level, Annoy finds nearest neighbors by constructing binary trees in which vectors reside at leaf nodes. Vectors near each other will tend to be in the same leaf node. See https://tinyurl.com/2p89sb2h and https://github.com/spotify/an...

AnnoyNearestNeighbors

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AnnoyNearestNeighbors: """This is an implementation of `NearestNeighbors` that uses the Annoy module. At a high level, Annoy finds nearest neighbors by constructing binary trees in which vectors reside at leaf nodes. Vectors near each other will tend to be in the same leaf node. See https://tinyu...

stack_v2_sparse_classes_36k_train_003872

10,067

permissive

[ { "docstring": "Args: num_trees (int): The number of trees to use. Increasing this number gives more accurate computation of nearest neighbors, but requires longer setup time to create the trees, as well as memory.", "name": "__init__", "signature": "def __init__(self, num_trees: int=10) -> None" }, ...

3

null

Implement the Python class `AnnoyNearestNeighbors` described below. Class description: This is an implementation of `NearestNeighbors` that uses the Annoy module. At a high level, Annoy finds nearest neighbors by constructing binary trees in which vectors reside at leaf nodes. Vectors near each other will tend to be i...

945c582cc0b08885c4e2bfecb020abdfac0122f3

<|skeleton|> class AnnoyNearestNeighbors: """This is an implementation of `NearestNeighbors` that uses the Annoy module. At a high level, Annoy finds nearest neighbors by constructing binary trees in which vectors reside at leaf nodes. Vectors near each other will tend to be in the same leaf node. See https://tinyu...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AnnoyNearestNeighbors: """This is an implementation of `NearestNeighbors` that uses the Annoy module. At a high level, Annoy finds nearest neighbors by constructing binary trees in which vectors reside at leaf nodes. Vectors near each other will tend to be in the same leaf node. See https://tinyurl.com/2p89sb...

the_stack_v2_python_sparse

captum/influence/_utils/nearest_neighbors.py

pytorch/captum

train

4,230

7199bee165bcb0a6ae55af40f28adaf8bc0bd30b

[ "current_app.logger.info('<Transaction.post')\nrequest_json = request.get_json()\nvalid_format, errors = schema_utils.validate(request_json, 'transaction_request')\nif not valid_format:\n return error_to_response(Error.INVALID_REQUEST, invalid_params=schema_utils.serialize(errors))\ntry:\n if invoice_id:\n ...

<|body_start_0|> current_app.logger.info('<Transaction.post') request_json = request.get_json() valid_format, errors = schema_utils.validate(request_json, 'transaction_request') if not valid_format: return error_to_response(Error.INVALID_REQUEST, invalid_params=schema_utils.s...

Endpoint resource to create transaction.

Transaction

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003873

4,955

permissive

[ { "docstring": "Create the Transaction records.", "name": "post", "signature": "def post(invoice_id: int=None, payment_id: int=None)" }, { "docstring": "Get all transaction records for a invoice.", "name": "get", "signature": "def get(invoice_id)" } ]

2

null

Implement the Python class `Transaction` described below. Class description: Endpoint resource to create transaction. Method signatures and docstrings: - def post(invoice_id: int=None, payment_id: int=None): Create the Transaction records. - def get(invoice_id): Get all transaction records for a invoice.

Implement the Python class `Transaction` described below. Class description: Endpoint resource to create transaction. Method signatures and docstrings: - def post(invoice_id: int=None, payment_id: int=None): Create the Transaction records. - def get(invoice_id): Get all transaction records for a invoice. <|skeleton|...

0d71d37b0e08d11f6b6d9f59a4b202dfabc98fc1

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Transaction: """Endpoint resource to create transaction.""" def post(invoice_id: int=None, payment_id: int=None): """Create the Transaction records.""" current_app.logger.info('<Transaction.post') request_json = request.get_json() valid_format, errors = schema_utils.valida...

the_stack_v2_python_sparse

pay-api/src/pay_api/resources/transaction.py

bcgov/sbc-pay

train

6

96e55455c6562b5899bcb84444ae5e1c1984f772

[ "job = get_object_or_404(models.ImportJob, id=job_id)\nif job.user != request.user:\n raise PermissionDenied()\nitems = job.items.order_by('index')\nitem_count = items.count() or 1\npaginated = Paginator(items, PAGE_LENGTH)\npage = paginated.get_page(request.GET.get('page'))\nmanual_review_count = items.filter(f...

<|body_start_0|> job = get_object_or_404(models.ImportJob, id=job_id) if job.user != request.user: raise PermissionDenied() items = job.items.order_by('index') item_count = items.count() or 1 paginated = Paginator(items, PAGE_LENGTH) page = paginated.get_page(...

status of an existing import

ImportStatus

[ "LicenseRef-scancode-warranty-disclaimer" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003874

3,101

no_license

[ { "docstring": "status of an import job", "name": "get", "signature": "def get(self, request, job_id)" }, { "docstring": "bring a legacy import into the latest format", "name": "post", "signature": "def post(self, request, job_id)" } ]

2

null

Implement the Python class `ImportStatus` described below. Class description: status of an existing import Method signatures and docstrings: - def get(self, request, job_id): status of an import job - def post(self, request, job_id): bring a legacy import into the latest format

Implement the Python class `ImportStatus` described below. Class description: status of an existing import Method signatures and docstrings: - def get(self, request, job_id): status of an import job - def post(self, request, job_id): bring a legacy import into the latest format <|skeleton|> class ImportStatus: "...

0f8da5b738047f3c34d60d93f59bdedd8f797224

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ImportStatus: """status of an existing import""" def get(self, request, job_id): """status of an import job""" job = get_object_or_404(models.ImportJob, id=job_id) if job.user != request.user: raise PermissionDenied() items = job.items.order_by('index') ...

the_stack_v2_python_sparse

bookwyrm/views/imports/import_status.py

bookwyrm-social/bookwyrm

train

1,398

e446bed81a01a6377b4e128dec58edb1ee8b71e1

[ "filename = self._input_filename = self.getTmpFilename(self.WorkingDir)\ndata_file = open(filename, 'w')\ndata_to_file = '\\n'.join([str(d).strip('\\n') for d in data])\ndata_file.write(data_to_file)\ndata_file.write('\\n')\ndata_file.close()\nself.Parameters['-i'].on(filename)\nreturn ''", "if data:\n self.Pa...

<|body_start_0|> filename = self._input_filename = self.getTmpFilename(self.WorkingDir) data_file = open(filename, 'w') data_to_file = '\n'.join([str(d).strip('\n') for d in data]) data_file.write(data_to_file) data_file.write('\n') data_file.close() self.Paramete...

Application controller for Knetfold v1.4.4b application

Knetfold

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Knetfold: """Application controller for Knetfold v1.4.4b application""" def _input_as_lines(self, data): """Infile needs to be set with parameter -i""" <|body_0|> def _input_as_string(self, data): """Makes data the value of a specific parameter This method return...

stack_v2_sparse_classes_36k_train_003875

3,585

permissive

[ { "docstring": "Infile needs to be set with parameter -i", "name": "_input_as_lines", "signature": "def _input_as_lines(self, data)" }, { "docstring": "Makes data the value of a specific parameter This method returns the empty string. The parameter will be printed automatically once set.", "...

3

null

Implement the Python class `Knetfold` described below. Class description: Application controller for Knetfold v1.4.4b application Method signatures and docstrings: - def _input_as_lines(self, data): Infile needs to be set with parameter -i - def _input_as_string(self, data): Makes data the value of a specific paramet...

fe6f8c8dfed86d39c80f2804a753c05bb2e485b4

<|skeleton|> class Knetfold: """Application controller for Knetfold v1.4.4b application""" def _input_as_lines(self, data): """Infile needs to be set with parameter -i""" <|body_0|> def _input_as_string(self, data): """Makes data the value of a specific parameter This method return...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Knetfold: """Application controller for Knetfold v1.4.4b application""" def _input_as_lines(self, data): """Infile needs to be set with parameter -i""" filename = self._input_filename = self.getTmpFilename(self.WorkingDir) data_file = open(filename, 'w') data_to_file = '\n...

the_stack_v2_python_sparse

scripts/venv/lib/python2.7/site-packages/cogent/app/knetfold.py

sauloal/cnidaria

train

3

b2c7cb2e3a39b0ca119793252a8961784f4e3dfe

[ "serialazer = EmailAuthSerialazer(data=request.data)\nserialazer.is_valid(raise_exception=True)\nif serialazer.validated_data['password'] != request.user.password:\n return Response({'status': 'неправильный пароль'})\nserialazer.email_auth(validated_data=serialazer.validated_data, request=request)\nreturn Respon...

<|body_start_0|> serialazer = EmailAuthSerialazer(data=request.data) serialazer.is_valid(raise_exception=True) if serialazer.validated_data['password'] != request.user.password: return Response({'status': 'неправильный пароль'}) serialazer.email_auth(validated_data=serialazer...

EmailAuth

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003876

1,409

no_license

[ { "docstring": "При введении пароля пользователя и email отправляет сообщение на email", "name": "create", "signature": "def create(self, request)" }, { "docstring": "Принимает запрос и привязывает email при совпадении ключей", "name": "get", "signature": "def get(self, request)" } ]

2

stack_v2_sparse_classes_30k_train_018543

Implement the Python class `EmailAuth` described below. Class description: Implement the EmailAuth class. Method signatures and docstrings: - def create(self, request): При введении пароля пользователя и email отправляет сообщение на email - def get(self, request): Принимает запрос и привязывает email при совпадении ...

124ca4b088329c7539e43d25b639a68f925bdf4c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class EmailAuth: def create(self, request): """При введении пароля пользователя и email отправляет сообщение на email""" serialazer = EmailAuthSerialazer(data=request.data) serialazer.is_valid(raise_exception=True) if serialazer.validated_data['password'] != request.user.password: ...

the_stack_v2_python_sparse

users/views/email_auth.py

aobcvr/Petfinder

train

0

4eb0def291095514d2f87e39a39345fa87b0d8c3

[ "super().__init__(config, {})\nself.save_memory()\nself.fc_projector = nn.Sequential(nn.Linear(512, 128), nn.ReLU(), nn.Linear(128, 128))", "embeddings = torch.cat((self.fc_subject(subj_embs), self.fc_object(obj_embs)), dim=1)\nfeatures = self.fc_projector(embeddings)\nclassifiers = self.get_classifiers(subj_embs...

<|body_start_0|> super().__init__(config, {}) self.save_memory() self.fc_projector = nn.Sequential(nn.Linear(512, 128), nn.ReLU(), nn.Linear(128, 128)) <|end_body_0|> <|body_start_1|> embeddings = torch.cat((self.fc_subject(subj_embs), self.fc_object(obj_embs)), dim=1) features ...

Extends PyTorch nn.Module.

LanguageProjector

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003877

1,246

no_license

[ { "docstring": "Initialize layers.", "name": "__init__", "signature": "def __init__(self, config)" }, { "docstring": "Forward pass, returns output scores.", "name": "_forward", "signature": "def _forward(self, subj_embs, obj_embs)" } ]

2

null

Implement the Python class `LanguageProjector` described below. Class description: Extends PyTorch nn.Module. Method signatures and docstrings: - def __init__(self, config): Initialize layers. - def _forward(self, subj_embs, obj_embs): Forward pass, returns output scores.

Implement the Python class `LanguageProjector` described below. Class description: Extends PyTorch nn.Module. Method signatures and docstrings: - def __init__(self, config): Initialize layers. - def _forward(self, subj_embs, obj_embs): Forward pass, returns output scores. <|skeleton|> class LanguageProjector: ""...

810c79541a8584de3fe37943d244af366d361689

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LanguageProjector: """Extends PyTorch nn.Module.""" def __init__(self, config): """Initialize layers.""" super().__init__(config, {}) self.save_memory() self.fc_projector = nn.Sequential(nn.Linear(512, 128), nn.ReLU(), nn.Linear(128, 128)) def _forward(self, subj_embs...

the_stack_v2_python_sparse

common/models/sg_projector/language_projector.py

bgzu/zs-vrd-bmvc20

train

0

fef7a5bb5d2dc68d2b30e988409be8e327ebb812

[ "farm.launch()\nnode = discovery.run_server_in_cloud(cloud)\nlocation = CONF.feature.platform.location\ninstance_id = node.id\nif CONF.feature.platform.is_gce:\n location = node.extra['zone'].name\n instance_id = node.name\nrole_id = IMPL.discovery_manager.get_system_role_id(node.cloud._name, location, CONF.f...

<|body_start_0|> farm.launch() node = discovery.run_server_in_cloud(cloud) location = CONF.feature.platform.location instance_id = node.id if CONF.feature.platform.is_gce: location = node.extra['zone'].name instance_id = node.name role_id = IMPL.di...

TestDiscoveryManager

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003878

2,557

no_license

[ { "docstring": "Import cloud server to Scalr", "name": "test_import_server", "signature": "def test_import_server(self, context: dict, cloud: Cloud, farm: Farm)" }, { "docstring": "Deploy Agent to imported server", "name": "test_deploy_agent", "signature": "def test_deploy_agent(self, co...

2

stack_v2_sparse_classes_30k_train_021457

Implement the Python class `TestDiscoveryManager` described below. Class description: Implement the TestDiscoveryManager class. Method signatures and docstrings: - def test_import_server(self, context: dict, cloud: Cloud, farm: Farm): Import cloud server to Scalr - def test_deploy_agent(self, context: dict, cloud: Cl...

87b212e5b35a328b0a3c4d502847989a4d4fd897

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestDiscoveryManager: def test_import_server(self, context: dict, cloud: Cloud, farm: Farm): """Import cloud server to Scalr""" farm.launch() node = discovery.run_server_in_cloud(cloud) location = CONF.feature.platform.location instance_id = node.id if CONF.feat...

the_stack_v2_python_sparse

scalarizr/lifecycle/test_discovery_manager.py

Scalr/revizor-tests

train

0

a6343d35f35e0f2342d4f3e8d28dbe6aa407c43c

[ "if not root:\n return True\nqueue = [root]\nwhile queue:\n num_nodes = len(queue)\n vals = []\n for i in range(num_nodes):\n node = queue.pop(0)\n if node.left:\n queue.append(node.left)\n vals.append(node.left.val)\n else:\n vals.append(None)\n ...

<|body_start_0|> if not root: return True queue = [root] while queue: num_nodes = len(queue) vals = [] for i in range(num_nodes): node = queue.pop(0) if node.left: queue.append(node.left) ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003879

3,138

no_license

[ { "docstring": "Iterative bread-first search.", "name": "isSymmetric_v1", "signature": "def isSymmetric_v1(self, root: TreeNode) -> bool" }, { "docstring": "Bread-first search with recurssion.", "name": "isSymmetric_v2", "signature": "def isSymmetric_v2(self, root: TreeNode) -> bool" }...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isSymmetric_v1(self, root: TreeNode) -> bool: Iterative bread-first search. - def isSymmetric_v2(self, root: TreeNode) -> bool: Bread-first search with recurssion.

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isSymmetric_v1(self, root: TreeNode) -> bool: Iterative bread-first search. - def isSymmetric_v2(self, root: TreeNode) -> bool: Bread-first search with recurssion. <|skeleto...

97a2386f5e3adbd7138fd123810c3232bdf7f622

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isSymmetric_v1(self, root: TreeNode) -> bool: """Iterative bread-first search.""" if not root: return True queue = [root] while queue: num_nodes = len(queue) vals = [] for i in range(num_nodes): node ...

the_stack_v2_python_sparse

python3/trees_and_graphs/symmetric_tree.py

victorchu/algorithms

train

0

9d5ee497391326c719306c3c4c0c02b16c544220

[ "try:\n datatable_server_processing = query_super_users_by_args(request, **request.query_params)\n serializer = StaffDataTableSerializer(datatable_server_processing['items'], many=True)\n result = dict()\n result['data'] = serializer.data\n result['draw'] = datatable_server_processing['draw']\n re...

<|body_start_0|> try: datatable_server_processing = query_super_users_by_args(request, **request.query_params) serializer = StaffDataTableSerializer(datatable_server_processing['items'], many=True) result = dict() result['data'] = serializer.data resul...

SuperUserView

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003880

7,575

no_license

[ { "docstring": "Get all staff users", "name": "get", "signature": "def get(self, request)" }, { "docstring": "Create staff", "name": "post", "signature": "def post(self, request)" } ]

2

stack_v2_sparse_classes_30k_train_014797

Implement the Python class `SuperUserView` described below. Class description: Implement the SuperUserView class. Method signatures and docstrings: - def get(self, request): Get all staff users - def post(self, request): Create staff

Implement the Python class `SuperUserView` described below. Class description: Implement the SuperUserView class. Method signatures and docstrings: - def get(self, request): Get all staff users - def post(self, request): Create staff <|skeleton|> class SuperUserView: def get(self, request): """Get all s...

367cccca72f0eae6c3ccb70fabb371dc905f915e

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SuperUserView: def get(self, request): """Get all staff users""" try: datatable_server_processing = query_super_users_by_args(request, **request.query_params) serializer = StaffDataTableSerializer(datatable_server_processing['items'], many=True) result = dic...

the_stack_v2_python_sparse

staff/views/sup_user_view.py

vshaladhav97/first_kick

train

0

4c33e26c7ee7c6df32fec96b2742115bd6ab2c53

[ "source = 'balloon'\nself.add_class(source, 1, 'balloon')\nassert subset in ['train', 'val']\nimage_dir = os.path.join(dataset_dir, subset, 'images')\nanno_dir = os.path.join(dataset_dir, subset, 'annotations')\nimage_list = os.listdir(image_dir)\nimage_names = []\nfor img in image_list:\n image_names.append(img...

<|body_start_0|> source = 'balloon' self.add_class(source, 1, 'balloon') assert subset in ['train', 'val'] image_dir = os.path.join(dataset_dir, subset, 'images') anno_dir = os.path.join(dataset_dir, subset, 'annotations') image_list = os.listdir(image_dir) image_...

MyDataSet

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MyDataSet: def load_balloon(self, dataset_dir, subset): """Load a subset of the Balloon dataset. dataset_dir: Root directory of the dataset. subset: Subset to load: train or val""" <|body_0|> def load_mask(self, image_id): """Generate instance masks for an image. ind...

stack_v2_sparse_classes_36k_train_003881

3,634

no_license

[ { "docstring": "Load a subset of the Balloon dataset. dataset_dir: Root directory of the dataset. subset: Subset to load: train or val", "name": "load_balloon", "signature": "def load_balloon(self, dataset_dir, subset)" }, { "docstring": "Generate instance masks for an image. index for id in the...

2

stack_v2_sparse_classes_30k_train_009805

Implement the Python class `MyDataSet` described below. Class description: Implement the MyDataSet class. Method signatures and docstrings: - def load_balloon(self, dataset_dir, subset): Load a subset of the Balloon dataset. dataset_dir: Root directory of the dataset. subset: Subset to load: train or val - def load_m...

19143afb18b16122bc92e224b8bb601e23efd2e0

<|skeleton|> class MyDataSet: def load_balloon(self, dataset_dir, subset): """Load a subset of the Balloon dataset. dataset_dir: Root directory of the dataset. subset: Subset to load: train or val""" <|body_0|> def load_mask(self, image_id): """Generate instance masks for an image. ind...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MyDataSet: def load_balloon(self, dataset_dir, subset): """Load a subset of the Balloon dataset. dataset_dir: Root directory of the dataset. subset: Subset to load: train or val""" source = 'balloon' self.add_class(source, 1, 'balloon') assert subset in ['train', 'val'] ...

the_stack_v2_python_sparse

datasets/my_dataset.py

Sparknzz/mrcnn_tf2.0

train

0

845f88e7a84aaa52a676c0e94fbde2b43b1cbfab

[ "super(GCN, self).__init__()\nself.W = torch.nn.Linear(n_input, n_hidden, bias=False)\nself.activation = torch.nn.PReLU()\ntorch.nn.init.xavier_uniform_(self.W.weight.data)", "X_THETA = self.W(input_arr)\nX_THETA = torch.squeeze(X_THETA)\ngcn_result = torch.mm(A_hat, X_THETA)\nreturn self.activation(gcn_result)" ...

GCN

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003882

738

no_license

[ { "docstring": ":param n_input: 1433 :param n_hidden: 512", "name": "__init__", "signature": "def __init__(self, n_input, n_hidden)" }, { "docstring": ":param input_arr: 1 X Node X Features :return patch representation, # Node X # Hidden layer", "name": "forward", "signature": "def forwa...

2

stack_v2_sparse_classes_30k_train_014906

Implement the Python class `GCN` described below. Class description: Implement the GCN class. Method signatures and docstrings: - def __init__(self, n_input, n_hidden): :param n_input: 1433 :param n_hidden: 512 - def forward(self, input_arr, A_hat, n_node): :param input_arr: 1 X Node X Features :return patch represen...

9396979f69d17c80f02c0069a9d7e9a317294136

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GCN: def __init__(self, n_input, n_hidden): """:param n_input: 1433 :param n_hidden: 512""" super(GCN, self).__init__() self.W = torch.nn.Linear(n_input, n_hidden, bias=False) self.activation = torch.nn.PReLU() torch.nn.init.xavier_uniform_(self.W.weight.data) def ...

the_stack_v2_python_sparse

Graph/DGI/GCN.py

rlqja1107/Recommender_System

train

1

7e03eef5ac2d06e4b25b98ecdeca770a61411876

[ "public = optometre_public_page.OptometrePublicPage(self.driver)\npublic.to_sale_order()\ntime.sleep(1)\nself.click(self.another_bill_button)\ntime.sleep(1)\nself.click(self.add_pro)\ntime.sleep(2)\nself.click(self.custom_made_goods)\ntime.sleep(3)\nself.click(self.choose)\ntime.sleep(2)\nself.click(self.sure)\ntim...

<|body_start_0|> public = optometre_public_page.OptometrePublicPage(self.driver) public.to_sale_order() time.sleep(1) self.click(self.another_bill_button) time.sleep(1) self.click(self.add_pro) time.sleep(2) self.click(self.custom_made_goods) time....

视光销售页面相关元素

SalesOrderPage

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003883

4,860

no_license

[ { "docstring": "再开一单", "name": "another_bill", "signature": "def another_bill(self)" }, { "docstring": "提交订单", "name": "submi_bill", "signature": "def submi_bill(self)" }, { "docstring": "再开一单--选择优惠券", "name": "choose_discount", "signature": "def choose_discount(self)" ...

5

stack_v2_sparse_classes_30k_train_011614

Implement the Python class `SalesOrderPage` described below. Class description: 视光销售页面相关元素 Method signatures and docstrings: - def another_bill(self): 再开一单 - def submi_bill(self): 提交订单 - def choose_discount(self): 再开一单--选择优惠券 - def bill_amount_wrong(self): 再开一单--订单金额不能为0 - def replace_prescription(self): 更换处方

Implement the Python class `SalesOrderPage` described below. Class description: 视光销售页面相关元素 Method signatures and docstrings: - def another_bill(self): 再开一单 - def submi_bill(self): 提交订单 - def choose_discount(self): 再开一单--选择优惠券 - def bill_amount_wrong(self): 再开一单--订单金额不能为0 - def replace_prescription(self): 更换处方 <|skel...

8616e6a320462747006a8ed9a7066e367660a7c5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SalesOrderPage: """视光销售页面相关元素""" def another_bill(self): """再开一单""" public = optometre_public_page.OptometrePublicPage(self.driver) public.to_sale_order() time.sleep(1) self.click(self.another_bill_button) time.sleep(1) self.click(self.add_pro) ...

the_stack_v2_python_sparse

uitest/pages/optometry/sale_management/sales_order_page.py

QWJ77/big

train

0

d84822256e6e6a6bc84abe09278c9ec38b38fb8d

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

Missing associated documentation comment in .proto file.

AuthzAppServiceServicer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AuthzAppServiceServicer: """Missing associated documentation comment in .proto file.""" def is_allowed(self, request, context): """Missing associated documentation comment in .proto file.""" <|body_0|> def hash_keys(self, request, context): """Missing associated ...

stack_v2_sparse_classes_36k_train_003884

4,577

no_license

[ { "docstring": "Missing associated documentation comment in .proto file.", "name": "is_allowed", "signature": "def is_allowed(self, request, context)" }, { "docstring": "Missing associated documentation comment in .proto file.", "name": "hash_keys", "signature": "def hash_keys(self, requ...

2

null

Implement the Python class `AuthzAppServiceServicer` described below. Class description: Missing associated documentation comment in .proto file. Method signatures and docstrings: - def is_allowed(self, request, context): Missing associated documentation comment in .proto file. - def hash_keys(self, request, context)...

55d36c068e26e13ee5bae5c033e2e17784c63feb

<|skeleton|> class AuthzAppServiceServicer: """Missing associated documentation comment in .proto file.""" def is_allowed(self, request, context): """Missing associated documentation comment in .proto file.""" <|body_0|> def hash_keys(self, request, context): """Missing associated ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AuthzAppServiceServicer: """Missing associated documentation comment in .proto file.""" def is_allowed(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemente...

the_stack_v2_python_sparse

src/resource/proto/_generated/identity/authz_app_service_pb2_grpc.py

arkanmgerges/cafm.identity

train

0

abadff1a2a56eb06f28f63634569d01455d0dd32

[ "def height(root):\n \"\"\"Return height of the tree if the tree is height-balanced,\n -1 if the tree is not height-balanced\"\"\"\n if not root:\n return 0\n left_height = height(root.left)\n if left_height == -1:\n return -1\n right_height = height(root.right)\n if right...

<|body_start_0|> def height(root): """Return height of the tree if the tree is height-balanced, -1 if the tree is not height-balanced""" if not root: return 0 left_height = height(root.left) if left_height == -1: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003885

1,840

no_license

[ { "docstring": "Bottom up approach, O(n) :type root: TreeNode :rtype: bool", "name": "isBalanced", "signature": "def isBalanced(self, root)" }, { "docstring": "Top down approach, O(n^2)", "name": "isBalanced1", "signature": "def isBalanced1(self, root)" } ]

2

stack_v2_sparse_classes_30k_test_001021

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isBalanced(self, root): Bottom up approach, O(n) :type root: TreeNode :rtype: bool - def isBalanced1(self, root): Top down approach, O(n^2)

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isBalanced(self, root): Bottom up approach, O(n) :type root: TreeNode :rtype: bool - def isBalanced1(self, root): Top down approach, O(n^2) <|skeleton|> class Solution: ...

b18786c06417a2781662805a7e0e984ee7fa5240

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def isBalanced(self, root): """Bottom up approach, O(n) :type root: TreeNode :rtype: bool""" def height(root): """Return height of the tree if the tree is height-balanced, -1 if the tree is not height-balanced""" if not root: ...

the_stack_v2_python_sparse

data_structures/110. Balanced Binary Tree.py

YuriiPaziuk/leetcode

train

0

c188c7d5519946c0894cc0465caf51a6f79290c6

[ "self.n_points = n_points\nself.invert_cmap = invert_cmap\nself.xlim = (None, None)\nself.ylim = (None, None)\ndefault_bokeh_opts = {'height': 350, 'width': 400, 'tools': ['hover'], 'shared_axes': False}\ndefault_mpl_opts = {}\nmpl_opts, bokeh_opts = self.update_default_opts(default_mpl_opts, mpl_opts, default_boke...

<|body_start_0|> self.n_points = n_points self.invert_cmap = invert_cmap self.xlim = (None, None) self.ylim = (None, None) default_bokeh_opts = {'height': 350, 'width': 400, 'tools': ['hover'], 'shared_axes': False} default_mpl_opts = {} mpl_opts, bokeh_opts = sel...

Plots the interpolated landscaped of values of a set of points. The data is visualized creating a :class:`holoviews.QuadMesh` with a :class:`holoviews.Contours` plot with the original data points displayed as a :class:`holoviews.Scatter`.

Landscape2D

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class Landscape2D: """Plots the interpolated landscaped of values of a set of points. The data is visualized creating a :class:`holoviews.QuadMesh` with a :class:`holoviews.Contours` plot with the original data points displayed as a :class:`holoviews.Scatter`.""" def __init__(self, n_points: int=5...

stack_v2_sparse_classes_36k_train_003886

22,669

permissive

[ { "docstring": "Initialize a :class:`Landscape2d`. Args: n_points: Number of points per dimension used to create the meshgrid grid that will be used to interpolate the data. data: Initial data for the plot. bokeh_opts: Default options for the plot when rendered using the \"bokeh\" backend. mpl_opts: Default opt...

4

stack_v2_sparse_classes_30k_train_004669

Implement the Python class `Landscape2D` described below. Class description: Plots the interpolated landscaped of values of a set of points. The data is visualized creating a :class:`holoviews.QuadMesh` with a :class:`holoviews.Contours` plot with the original data points displayed as a :class:`holoviews.Scatter`. Me...

5e69c50e5b220859d65406d803086406b50a8e78

<|skeleton|> class Landscape2D: """Plots the interpolated landscaped of values of a set of points. The data is visualized creating a :class:`holoviews.QuadMesh` with a :class:`holoviews.Contours` plot with the original data points displayed as a :class:`holoviews.Scatter`.""" def __init__(self, n_points: int=5...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Landscape2D: """Plots the interpolated landscaped of values of a set of points. The data is visualized creating a :class:`holoviews.QuadMesh` with a :class:`holoviews.Contours` plot with the original data points displayed as a :class:`holoviews.Scatter`.""" def __init__(self, n_points: int=50, data=None,...

the_stack_v2_python_sparse

fragile/dataviz/streaming.py

sergio-hcsoft/fragile-1

train

0

08dbdbabc7f3d86e78704da64e02ddd164c4e4bb

[ "illiness = self.env['zakat.illness'].search([])\nfor illi in illiness:\n if illi.sector_id.id in self.ids:\n raise exceptions.ValidationError(_('Diagnosis Sector Cannot Be Removed'))\nreturn super(ZakatDiagnosticSectors, self).unlink()", "num_pattern = re.compile('\\\\d', re.I | re.M)\nwhite_space = re...

<|body_start_0|> illiness = self.env['zakat.illness'].search([]) for illi in illiness: if illi.sector_id.id in self.ids: raise exceptions.ValidationError(_('Diagnosis Sector Cannot Be Removed')) return super(ZakatDiagnosticSectors, self).unlink() <|end_body_0|> <|bod...

ZakatDiagnosticSectors

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003887

47,323

no_license

[ { "docstring": "If sector hase an Illness should not be removed :raise exception", "name": "unlink", "signature": "def unlink(self)" }, { "docstring": "Check if name field contain an invalid value :raise exception", "name": "fields_check", "signature": "def fields_check(self)" } ]

2

null

Implement the Python class `ZakatDiagnosticSectors` described below. Class description: Implement the ZakatDiagnosticSectors class. Method signatures and docstrings: - def unlink(self): If sector hase an Illness should not be removed :raise exception - def fields_check(self): Check if name field contain an invalid va...

0b997095c260d58b026440967fea3a202bef7efb

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ZakatDiagnosticSectors: def unlink(self): """If sector hase an Illness should not be removed :raise exception""" illiness = self.env['zakat.illness'].search([]) for illi in illiness: if illi.sector_id.id in self.ids: raise exceptions.ValidationError(_('Diagn...

the_stack_v2_python_sparse

v_11/zakat-project/branches/dzc_1/models/dzc_1_config.py

musabahmed/baba

train

0

6506a93b442c3691a49b3e707735a837a9786236

[ "try:\n body = self.json_body()\n return validate(self.jsonapi_body_schema, body)['data']\nexcept json.JSONDecodeError:\n raise JSONAPIError(400, [{'title': 'The request body must be valid JSON.'}])", "error_type, error_instance, tb = kwargs['exc_info']\nif isinstance(error_instance, JSONAPIError):\n ...

<|body_start_0|> try: body = self.json_body() return validate(self.jsonapi_body_schema, body)['data'] except json.JSONDecodeError: raise JSONAPIError(400, [{'title': 'The request body must be valid JSON.'}]) <|end_body_0|> <|body_start_1|> error_type, error_i...

Base class for all JSONAPI requests.

JSONAPIHandler

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class JSONAPIHandler: """Base class for all JSONAPI requests.""" async def jsonapi_body(self: 'JSONAPIHandler') -> None: """Get the JSON body. Raises JSONAPIError if it isn't a valid JSONAPI body.""" <|body_0|> def write_error(self: 'JSONAPIHandler', status_code: int, **kwargs...

stack_v2_sparse_classes_36k_train_003888

8,382

permissive

[ { "docstring": "Get the JSON body. Raises JSONAPIError if it isn't a valid JSONAPI body.", "name": "jsonapi_body", "signature": "async def jsonapi_body(self: 'JSONAPIHandler') -> None" }, { "docstring": "Write an error message.", "name": "write_error", "signature": "def write_error(self:...

2

stack_v2_sparse_classes_30k_train_001683

Implement the Python class `JSONAPIHandler` described below. Class description: Base class for all JSONAPI requests. Method signatures and docstrings: - async def jsonapi_body(self: 'JSONAPIHandler') -> None: Get the JSON body. Raises JSONAPIError if it isn't a valid JSONAPI body. - def write_error(self: 'JSONAPIHand...

1402bce4b52fcc1804b6b3c357b96f6369e1885f

<|skeleton|> class JSONAPIHandler: """Base class for all JSONAPI requests.""" async def jsonapi_body(self: 'JSONAPIHandler') -> None: """Get the JSON body. Raises JSONAPIError if it isn't a valid JSONAPI body.""" <|body_0|> def write_error(self: 'JSONAPIHandler', status_code: int, **kwargs...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class JSONAPIHandler: """Base class for all JSONAPI requests.""" async def jsonapi_body(self: 'JSONAPIHandler') -> None: """Get the JSON body. Raises JSONAPIError if it isn't a valid JSONAPI body.""" try: body = self.json_body() return validate(self.jsonapi_body_schema, ...

the_stack_v2_python_sparse

toja/server/handlers/base.py

scmmmh/the-old-joke-archive

train

0

224b6a9b58d06e8efff273ed5952ca27e045022a

[ "for line in self:\n line.overdue_amount = 0\n if line.type == 'out_invoice':\n payments_obj = self.env['account.payment'].search([('partner_id', '=', line.partner_id.id), ('state', '=', 'posted'), ('bulk_payment_id.state', 'in', ['cheque_on_hand', 'deposited']), ('payment_type_name', '=', 'Cheque')])\...

<|body_start_0|> for line in self: line.overdue_amount = 0 if line.type == 'out_invoice': payments_obj = self.env['account.payment'].search([('partner_id', '=', line.partner_id.id), ('state', '=', 'posted'), ('bulk_payment_id.state', 'in', ['cheque_on_hand', 'deposited'])...

AccountInvoiceInherit

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AccountInvoiceInherit: def _compute_overdue_amount(self): """Calculating Real outstanding by excluding all draft cheque payments""" <|body_0|> def _compute_stored_overdue_amount(self): """Calculating Real outstanding by excluding all draft cheque payments""" ...

stack_v2_sparse_classes_36k_train_003889

3,962

no_license

[ { "docstring": "Calculating Real outstanding by excluding all draft cheque payments", "name": "_compute_overdue_amount", "signature": "def _compute_overdue_amount(self)" }, { "docstring": "Calculating Real outstanding by excluding all draft cheque payments", "name": "_compute_stored_overdue_...

3

stack_v2_sparse_classes_30k_train_002609

Implement the Python class `AccountInvoiceInherit` described below. Class description: Implement the AccountInvoiceInherit class. Method signatures and docstrings: - def _compute_overdue_amount(self): Calculating Real outstanding by excluding all draft cheque payments - def _compute_stored_overdue_amount(self): Calcu...

b6b32366d966aa550af1de50fd4dd1f1e9daefd0

<|skeleton|> class AccountInvoiceInherit: def _compute_overdue_amount(self): """Calculating Real outstanding by excluding all draft cheque payments""" <|body_0|> def _compute_stored_overdue_amount(self): """Calculating Real outstanding by excluding all draft cheque payments""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AccountInvoiceInherit: def _compute_overdue_amount(self): """Calculating Real outstanding by excluding all draft cheque payments""" for line in self: line.overdue_amount = 0 if line.type == 'out_invoice': payments_obj = self.env['account.payment'].search...

the_stack_v2_python_sparse

invoice_outstanding/models/account_invoice.py

EshangAllion/rts-payroll

train

2

89091c6db1d9b90f868019331266b75d885c2120

[ "class MyGenerator:\n\n def __init__(self, gen):\n self._gen = gen\n\n def __next__(self):\n return next(self._gen)\n\ndef inner_callback(item, *args, **kwargs):\n return MyGenerator(callback(item, inner_callback, *args, **kwargs))\nto_call = list()\nto_call.append(inner_callback(root, *args,...

<|body_start_0|> class MyGenerator: def __init__(self, gen): self._gen = gen def __next__(self): return next(self._gen) def inner_callback(item, *args, **kwargs): return MyGenerator(callback(item, inner_callback, *args, **kwargs)) ...

Class that aggregates functions to traverse the parsed tree.

Traversing

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Traversing: """Class that aggregates functions to traverse the parsed tree.""" def traverse(root, callback, *args, **kwargs): """Traverse AST based on callback. :param root: Root element of the parsed tree. :param callback: Function that accepts current node, callback `c_2` and param...

stack_v2_sparse_classes_36k_train_003890

8,160

permissive

[ { "docstring": "Traverse AST based on callback. :param root: Root element of the parsed tree. :param callback: Function that accepts current node, callback `c_2` and parameters from the parent. Function must yield individual values. Its possible to yield callback c_2 **call** on any node to call the recursion. ...

5

stack_v2_sparse_classes_30k_train_012426

Implement the Python class `Traversing` described below. Class description: Class that aggregates functions to traverse the parsed tree. Method signatures and docstrings: - def traverse(root, callback, *args, **kwargs): Traverse AST based on callback. :param root: Root element of the parsed tree. :param callback: Fun...

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

<|skeleton|> class Traversing: """Class that aggregates functions to traverse the parsed tree.""" def traverse(root, callback, *args, **kwargs): """Traverse AST based on callback. :param root: Root element of the parsed tree. :param callback: Function that accepts current node, callback `c_2` and param...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Traversing: """Class that aggregates functions to traverse the parsed tree.""" def traverse(root, callback, *args, **kwargs): """Traverse AST based on callback. :param root: Root element of the parsed tree. :param callback: Function that accepts current node, callback `c_2` and parameters from th...

the_stack_v2_python_sparse

grammpy/transforms/Traversing.py

PatrikValkovic/grammpy

train

2

32b6de486afefd7a73feece8ef8ba6a7ecf7ec6f

[ "params = base.get_params(None, locals())\nrequest = http.Request('GET', self.get_url(), params)\nreturn (request, parsers.parse_json)", "params = base.get_params(None, locals())\nurl = '{0}/{1}'.format(self.get_url(), 'search')\nreturn (http.Request('GET', url, params), parsers.parse_json)" ]

<|body_start_0|> params = base.get_params(None, locals()) request = http.Request('GET', self.get_url(), params) return (request, parsers.parse_json) <|end_body_0|> <|body_start_1|> params = base.get_params(None, locals()) url = '{0}/{1}'.format(self.get_url(), 'search') ...

ForumSuggestions

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ForumSuggestions: def get(self, page=None, per_page=None, category=None, filter=None, sort=None, updated_after_date=None): """Fetch suggestions from this forum. :var page: Where should paging start. If left as `None`, the first page is returned. :vartype page: int :var per_page: How many...

stack_v2_sparse_classes_36k_train_003891

8,533

permissive

[ { "docstring": "Fetch suggestions from this forum. :var page: Where should paging start. If left as `None`, the first page is returned. :vartype page: int :var per_page: How many objects sould be returned. If left as `None`, 10 objects are returned. :vartype per_page: int :var category: Either a category ID, `a...

2

null

Implement the Python class `ForumSuggestions` described below. Class description: Implement the ForumSuggestions class. Method signatures and docstrings: - def get(self, page=None, per_page=None, category=None, filter=None, sort=None, updated_after_date=None): Fetch suggestions from this forum. :var page: Where shoul...

25caa745a104c8dc209584fa359294c65dbf88bb

<|skeleton|> class ForumSuggestions: def get(self, page=None, per_page=None, category=None, filter=None, sort=None, updated_after_date=None): """Fetch suggestions from this forum. :var page: Where should paging start. If left as `None`, the first page is returned. :vartype page: int :var per_page: How many...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ForumSuggestions: def get(self, page=None, per_page=None, category=None, filter=None, sort=None, updated_after_date=None): """Fetch suggestions from this forum. :var page: Where should paging start. If left as `None`, the first page is returned. :vartype page: int :var per_page: How many objects sould...

the_stack_v2_python_sparse

libsaas/services/uservoice/suggestions.py

piplcom/libsaas

train

1

f7cf100b364894018a7f8e5bcc36ed3cf2c344f9

[ "original_id = request.json.get('original_id')\nown_id_list = request.json.get('own_id_list')\noriginal = self.db.session.query(File).filter_by(id=original_id).first()\nfor own_id in own_id_list:\n create_data = {'object_name': original.object_name, 'object_type': original.object_type, 'object_size': original.ob...

<|body_start_0|> original_id = request.json.get('original_id') own_id_list = request.json.get('own_id_list') original = self.db.session.query(File).filter_by(id=original_id).first() for own_id in own_id_list: create_data = {'object_name': original.object_name, 'object_type': ...

ShareCreate

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003892

3,233

no_license

[ { "docstring": "创建分享文件", "name": "post", "signature": "def post(self)" }, { "docstring": "列出分享文件", "name": "get", "signature": "def get(self)" } ]

2

null

Implement the Python class `ShareCreate` described below. Class description: Implement the ShareCreate class. Method signatures and docstrings: - def post(self): 创建分享文件 - def get(self): 列出分享文件

Implement the Python class `ShareCreate` described below. Class description: Implement the ShareCreate class. Method signatures and docstrings: - def post(self): 创建分享文件 - def get(self): 列出分享文件 <|skeleton|> class ShareCreate: def post(self): """创建分享文件""" <|body_0|> def get(self): """...

c0ec16c0144d3754e67e295babef4417703102dc

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ShareCreate: def post(self): """创建分享文件""" original_id = request.json.get('original_id') own_id_list = request.json.get('own_id_list') original = self.db.session.query(File).filter_by(id=original_id).first() for own_id in own_id_list: create_data = {'object_n...

the_stack_v2_python_sparse

nemi_flask/Api_v1_0/namespace_share/views.py

Athrun1027/Nemi

train

1

c191ffad197cbef0e833252b837318915672e4c0

[ "self.type = atype\nself.bq = bq\nself.score = None\nself.children = None\nself.current = cplayer\nself.target = tplayer", "if not self.children:\n self.children = []\nself.children.append(state)" ]

A state node class.

StateNode

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StateNode: """A state node class.""" def __init__(self, atype: str, cplayer: 'Character', tplayer: 'Character', bq: 'BattleQueue') -> None: """Init this state node.""" <|body_0|> def add_child(self, state: 'StateNode') -> None: """Add a child to this state. >>> f...

stack_v2_sparse_classes_36k_train_003893

11,109

no_license

[ { "docstring": "Init this state node.", "name": "__init__", "signature": "def __init__(self, atype: str, cplayer: 'Character', tplayer: 'Character', bq: 'BattleQueue') -> None" }, { "docstring": "Add a child to this state. >>> from a2_battle_queue import BattleQueue >>> from a2_characters import...

2

stack_v2_sparse_classes_30k_train_005008

Implement the Python class `StateNode` described below. Class description: A state node class. Method signatures and docstrings: - def __init__(self, atype: str, cplayer: 'Character', tplayer: 'Character', bq: 'BattleQueue') -> None: Init this state node. - def add_child(self, state: 'StateNode') -> None: Add a child...

9a777677d0b11fe8b920abf63dde4e03d2347ab0

<|skeleton|> class StateNode: """A state node class.""" def __init__(self, atype: str, cplayer: 'Character', tplayer: 'Character', bq: 'BattleQueue') -> None: """Init this state node.""" <|body_0|> def add_child(self, state: 'StateNode') -> None: """Add a child to this state. >>> f...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StateNode: """A state node class.""" def __init__(self, atype: str, cplayer: 'Character', tplayer: 'Character', bq: 'BattleQueue') -> None: """Init this state node.""" self.type = atype self.bq = bq self.score = None self.children = None self.current = cpla...

the_stack_v2_python_sparse

summer 2018/A2/a2_playstyle.py

Yangfan999/csc148-assignments

train

3

0eec3fc54e993c2984c11d1ea7dd9763b509714b

[ "\"\"\"\n Constructor\n \"\"\"\nself.log = LoggingService(logfile=logfile, msg_identifier=f'chop_spectrograms')\nif not os.path.exists(snippet_outdir):\n os.makedirs(snippet_outdir)\n'\\n Open the spect file and corresponding label and then CHOP, CHOP, CHOP\\n '\ntry:\n spectro...

<|body_start_0|> """ Constructor """ self.log = LoggingService(logfile=logfile, msg_identifier=f'chop_spectrograms') if not os.path.exists(snippet_outdir): os.makedirs(snippet_outdir) '\n Open the spect file and corresponding label a...

Given a single spectrogram and the corresponding labeling, chop the spectrograms into the specified window size! NOTE: For now avoid doing any parallelization to just get this done functionality wise

SpectrogramChopper

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SpectrogramChopper: """Given a single spectrogram and the corresponding labeling, chop the spectrograms into the specified window size! NOTE: For now avoid doing any parallelization to just get this done functionality wise""" def __init__(self, spect_file, spect_label_file, snippet_outdir, w...

stack_v2_sparse_classes_36k_train_003894

6,601

no_license

[ { "docstring": "@param spect_file: The spectrogram file we want to chop @type spect_file: str @param spect_label_file: The spectrogram label file with 0/1 binary labels @type spect_label_file: str @param snippet_outdir: where the snippets are to be placed. This is likely to be either in the training / test fold...

2

stack_v2_sparse_classes_30k_train_016340

Implement the Python class `SpectrogramChopper` described below. Class description: Given a single spectrogram and the corresponding labeling, chop the spectrograms into the specified window size! NOTE: For now avoid doing any parallelization to just get this done functionality wise Method signatures and docstrings: ...

e513df821a5261913be677023ab1e0e65099f0b9

<|skeleton|> class SpectrogramChopper: """Given a single spectrogram and the corresponding labeling, chop the spectrograms into the specified window size! NOTE: For now avoid doing any parallelization to just get this done functionality wise""" def __init__(self, spect_file, spect_label_file, snippet_outdir, w...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SpectrogramChopper: """Given a single spectrogram and the corresponding labeling, chop the spectrograms into the specified window size! NOTE: For now avoid doing any parallelization to just get this done functionality wise""" def __init__(self, spect_file, spect_label_file, snippet_outdir, window_size=25...

the_stack_v2_python_sparse

src/Refactored/spectrogram_chopper.py

jonathangomesselman/ElephantCallAI

train

0

abe63f9aa466b4d1cff570cff8aceede68f93805

[ "self.res = 0\nself.nums = sorted(nums, reverse=True)\n\ndef deeper(target_sum, current_index):\n print(target_sum, current_index)\n if current_index == len(self.nums):\n if target_sum == 0:\n self.res += 1\n cache[target_sum, current_index] = True\n return True\n ...

<|body_start_0|> self.res = 0 self.nums = sorted(nums, reverse=True) def deeper(target_sum, current_index): print(target_sum, current_index) if current_index == len(self.nums): if target_sum == 0: self.res += 1 cach...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003895

2,364

no_license

[ { "docstring": ":type nums: List[int] :type S: int :rtype: int", "name": "findTargetSumWays1", "signature": "def findTargetSumWays1(self, nums, S)" }, { "docstring": "第二次做的时候发现上面那个结果不对了是什么鬼", "name": "findTargetSumWays", "signature": "def findTargetSumWays(self, nums, S)" } ]

2

stack_v2_sparse_classes_30k_val_001195

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findTargetSumWays1(self, nums, S): :type nums: List[int] :type S: int :rtype: int - def findTargetSumWays(self, nums, S): 第二次做的时候发现上面那个结果不对了是什么鬼

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findTargetSumWays1(self, nums, S): :type nums: List[int] :type S: int :rtype: int - def findTargetSumWays(self, nums, S): 第二次做的时候发现上面那个结果不对了是什么鬼 <|skeleton|> class Solution:...

97533d53c8892b6519e99f344489fa4fd4c9ab93

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def findTargetSumWays1(self, nums, S): """:type nums: List[int] :type S: int :rtype: int""" self.res = 0 self.nums = sorted(nums, reverse=True) def deeper(target_sum, current_index): print(target_sum, current_index) if current_index == len(sel...

the_stack_v2_python_sparse

2. DFS/494.py

proTao/leetcode

train

0

0b75e97702de68484088a375f0deafb0428a4c10

[ "lens = len(cost)\nf = [0] * lens\nf[:2] = cost[:2]\nfor i in range(2, lens):\n f[i] = min(f[i - 1], f[i - 2]) + cost[i]\nm = min(f[-1], f[-2])\nreturn m", "lens = len(cost)\nm1 = cost[0]\nm2 = cost[1]\nfor i in range(2, lens):\n m1, m2 = (m2, cost[i] + min(m1, m2))\nreturn min(m1, m2)" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_003896

692

no_license

[ { "docstring": ":type cost: List[int] :rtype: int 32ms, beats: 98.72%", "name": "minCostClimbingStairs", "signature": "def minCostClimbingStairs(self, cost)" }, { "docstring": ":type cost: List[int] :rtype: int 32ms, beats: 98.72%", "name": "minCostClimbingStairs2", "signature": "def min...

2

stack_v2_sparse_classes_30k_train_018408

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def minCostClimbingStairs(self, cost): :type cost: List[int] :rtype: int 32ms, beats: 98.72% - def minCostClimbingStairs2(self, cost): :type cost: List[int] :rtype: int 32ms, bea...

624975f767f6efa1d7361cc077eaebc344d57210

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def minCostClimbingStairs(self, cost): """:type cost: List[int] :rtype: int 32ms, beats: 98.72%""" lens = len(cost) f = [0] * lens f[:2] = cost[:2] for i in range(2, lens): f[i] = min(f[i - 1], f[i - 2]) + cost[i] m = min(f[-1], f[-2]) ...

the_stack_v2_python_sparse

746. 使用最小花费爬楼梯.py

dx19910707/LeetCode

train

0

463ef791225c225cde13a3c88c80e1896fce1606

[ "data = {'id': str(user_id), 'first_name': '', 'last_name': '', 'fullname': '', 'email': '', 'internal': False}\ntry:\n _ = UUID(user_id)\nexcept (ValueError, AttributeError):\n logger.error(f'Actor id is not a valid UUID: {user_id}')\nelse:\n if user_id == SystemUser.id:\n raw_data = SystemUser\n ...

<|body_start_0|> data = {'id': str(user_id), 'first_name': '', 'last_name': '', 'fullname': '', 'email': '', 'internal': False} try: _ = UUID(user_id) except (ValueError, AttributeError): logger.error(f'Actor id is not a valid UUID: {user_id}') else: i...

Stub implementation of the IUserProfileQuery interface.

BaseUserProfileQuery

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BaseUserProfileQuery: """Stub implementation of the IUserProfileQuery interface.""" def get_data(self, user_id: str) -> dict: """Get a map with user data.""" <|body_0|> def update_wf_history(self, state_history: list) -> list: """Update workflow history with user...

stack_v2_sparse_classes_36k_train_003897

1,795

no_license

[ { "docstring": "Get a map with user data.", "name": "get_data", "signature": "def get_data(self, user_id: str) -> dict" }, { "docstring": "Update workflow history with user data.", "name": "update_wf_history", "signature": "def update_wf_history(self, state_history: list) -> list" } ]

2

stack_v2_sparse_classes_30k_train_004156

Implement the Python class `BaseUserProfileQuery` described below. Class description: Stub implementation of the IUserProfileQuery interface. Method signatures and docstrings: - def get_data(self, user_id: str) -> dict: Get a map with user data. - def update_wf_history(self, state_history: list) -> list: Update workf...

0f27d5de4b04fe1d0ce2c2c9ccd3f2893b833128

<|skeleton|> class BaseUserProfileQuery: """Stub implementation of the IUserProfileQuery interface.""" def get_data(self, user_id: str) -> dict: """Get a map with user data.""" <|body_0|> def update_wf_history(self, state_history: list) -> list: """Update workflow history with user...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BaseUserProfileQuery: """Stub implementation of the IUserProfileQuery interface.""" def get_data(self, user_id: str) -> dict: """Get a map with user data.""" data = {'id': str(user_id), 'first_name': '', 'last_name': '', 'fullname': '', 'email': '', 'internal': False} try: ...

the_stack_v2_python_sparse

src/briefy/common/utilities/userprofile.py

BriefyHQ/briefy.common

train

0

cc741e45350e53e8777c31456edc4e3a5ee3e882

[ "super().at_object_creation()\nself.db.hit = 0.4\nself.db.parry = 0.8\nself.db.damage = 1.0\nself.db.magic = False\nself.cmdset.add_default(CmdSetWeapon, persistent=True)", "if self.location.has_account and self.home == self.location:\n self.location.msg_contents('%s suddenly and magically fades into nothingne...

This defines a bladed weapon. Important attributes (set at creation): hit - chance to hit (0-1) parry - chance to parry (0-1) damage - base damage given (modified by hit success and type of attack) (0-10)

TutorialWeapon

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class TutorialWeapon: """This defines a bladed weapon. Important attributes (set at creation): hit - chance to hit (0-1) parry - chance to parry (0-1) damage - base damage given (modified by hit success and type of attack) (0-10)""" def at_object_creation(self): """Called at first creation...

stack_v2_sparse_classes_36k_train_003898

42,155

permissive

[ { "docstring": "Called at first creation of the object", "name": "at_object_creation", "signature": "def at_object_creation(self)" }, { "docstring": "When reset, the weapon is simply deleted, unless it has a place to return to.", "name": "reset", "signature": "def reset(self)" } ]

2

null

Implement the Python class `TutorialWeapon` described below. Class description: This defines a bladed weapon. Important attributes (set at creation): hit - chance to hit (0-1) parry - chance to parry (0-1) damage - base damage given (modified by hit success and type of attack) (0-10) Method signatures and docstrings:...

b3ca58b5c1325a3bf57051dfe23560a08d2947b7

<|skeleton|> class TutorialWeapon: """This defines a bladed weapon. Important attributes (set at creation): hit - chance to hit (0-1) parry - chance to parry (0-1) damage - base damage given (modified by hit success and type of attack) (0-10)""" def at_object_creation(self): """Called at first creation...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TutorialWeapon: """This defines a bladed weapon. Important attributes (set at creation): hit - chance to hit (0-1) parry - chance to parry (0-1) damage - base damage given (modified by hit success and type of attack) (0-10)""" def at_object_creation(self): """Called at first creation of the objec...

the_stack_v2_python_sparse

evennia/contrib/tutorials/tutorial_world/objects.py

evennia/evennia

train

1,781

85cf91748ee8194693d7ffae9111cdc5624b24df

[ "serializer = CreateShareLinkSerializer(data=request.data, context=self.get_serializer_context())\nif not serializer.is_valid():\n return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)\nlink_id = serializer.validated_data.get('link_id')\nshare_id = serializer.validated_data.get('share_id')\npare...

<|body_start_0|> serializer = CreateShareLinkSerializer(data=request.data, context=self.get_serializer_context()) if not serializer.is_valid(): return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) link_id = serializer.validated_data.get('link_id') share_id =...

Check the REST Token and the object permissions and returns own share right if the necessary access rights are granted and the user is the user of the share right Accept the following GET parameters: share_id (optional) Return a list of the shares or the share and the access rights or a message for an update of rights

ShareLinkView

[ "BSD-3-Clause", "MIT", "Apache-2.0", "BSD-2-Clause", "CC0-1.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ShareLinkView: """Check the REST Token and the object permissions and returns own share right if the necessary access rights are granted and the user is the user of the share right Accept the following GET parameters: share_id (optional) Return a list of the shares or the share and the access rig...

stack_v2_sparse_classes_36k_train_003899

4,042

permissive

[ { "docstring": "Insert share link in share tree Necessary Rights: - grant on share - write on parent_share :param request: :param args: :param kwargs: :return: 201 / 400", "name": "put", "signature": "def put(self, request, *args, **kwargs)" }, { "docstring": "Update share link in share tree Nec...

3

null

Implement the Python class `ShareLinkView` described below. Class description: Check the REST Token and the object permissions and returns own share right if the necessary access rights are granted and the user is the user of the share right Accept the following GET parameters: share_id (optional) Return a list of the...

8936aa8ccdee8b9617ef7d894cb9a9a9f6f473cf

<|skeleton|> class ShareLinkView: """Check the REST Token and the object permissions and returns own share right if the necessary access rights are granted and the user is the user of the share right Accept the following GET parameters: share_id (optional) Return a list of the shares or the share and the access rig...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ShareLinkView: """Check the REST Token and the object permissions and returns own share right if the necessary access rights are granted and the user is the user of the share right Accept the following GET parameters: share_id (optional) Return a list of the shares or the share and the access rights or a mess...

the_stack_v2_python_sparse

psono/restapi/views/share_link.py

psono/psono-server

train

76