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3bfff664b92bf99250044649e99f6d9568c7bc35 | [
"if not graph.is_directed():\n raise ValueError('the graph is not directed')\nself.graph = graph\nself.residual = self.graph.__class__(self.graph.v(), directed=True)\nfor node in self.graph.iternodes():\n self.residual.add_node(node)\nfor edge in self.graph.iteredges():\n self.residual.add_edge(edge)\n ... | <|body_start_0|>
if not graph.is_directed():
raise ValueError('the graph is not directed')
self.graph = graph
self.residual = self.graph.__class__(self.graph.v(), directed=True)
for node in self.graph.iternodes():
self.residual.add_node(node)
for edge in s... | The Dinic's algorithm for computing the maximum flow. Attributes ---------- graph : input directed graph (flow network) residual : directed graph (residual network) flow : dict-of-dict source : node sink : node max_flow : number level : dict with node levels Notes ----- Based on: https://en.wikipedia.org/wiki/Dinic's_a... | Dinic | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dinic:
"""The Dinic's algorithm for computing the maximum flow. Attributes ---------- graph : input directed graph (flow network) residual : directed graph (residual network) flow : dict-of-dict source : node sink : node max_flow : number level : dict with node levels Notes ----- Based on: https:... | stack_v2_sparse_classes_75kplus_train_009300 | 7,551 | permissive | [
{
"docstring": "The algorithm initialization.",
"name": "__init__",
"signature": "def __init__(self, graph)"
},
{
"docstring": "Executable pseudocode.",
"name": "run",
"signature": "def run(self, source, sink)"
},
{
"docstring": "Find if more flow can be sent from source to sink.... | 4 | stack_v2_sparse_classes_30k_train_009795 | Implement the Python class `Dinic` described below.
Class description:
The Dinic's algorithm for computing the maximum flow. Attributes ---------- graph : input directed graph (flow network) residual : directed graph (residual network) flow : dict-of-dict source : node sink : node max_flow : number level : dict with n... | Implement the Python class `Dinic` described below.
Class description:
The Dinic's algorithm for computing the maximum flow. Attributes ---------- graph : input directed graph (flow network) residual : directed graph (residual network) flow : dict-of-dict source : node sink : node max_flow : number level : dict with n... | 0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60 | <|skeleton|>
class Dinic:
"""The Dinic's algorithm for computing the maximum flow. Attributes ---------- graph : input directed graph (flow network) residual : directed graph (residual network) flow : dict-of-dict source : node sink : node max_flow : number level : dict with node levels Notes ----- Based on: https:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dinic:
"""The Dinic's algorithm for computing the maximum flow. Attributes ---------- graph : input directed graph (flow network) residual : directed graph (residual network) flow : dict-of-dict source : node sink : node max_flow : number level : dict with node levels Notes ----- Based on: https://en.wikipedi... | the_stack_v2_python_sparse | graphtheory/flow/dinic.py | kgashok/graphs-dict | train | 0 |
9379c54ff006eb52295df41aeb95e802e6ec2d33 | [
"super().__init__(grad=False)\nif len(transforms) == 1 and isinstance(transforms[0], Sequence):\n transforms = transforms[0]\nself.transforms = torch.nn.ModuleList(list(transforms))",
"for t in self.transforms:\n batch = t(**batch)\nreturn batch"
] | <|body_start_0|>
super().__init__(grad=False)
if len(transforms) == 1 and isinstance(transforms[0], Sequence):
transforms = transforms[0]
self.transforms = torch.nn.ModuleList(list(transforms))
<|end_body_0|>
<|body_start_1|>
for t in self.transforms:
batch = t(*... | Compose | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Compose:
def __init__(self, *transforms):
"""Compose multiple transforms to one Args: transforms: transformations to compose"""
<|body_0|>
def forward(self, **batch):
"""Augment batch"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__(... | stack_v2_sparse_classes_75kplus_train_009301 | 1,381 | permissive | [
{
"docstring": "Compose multiple transforms to one Args: transforms: transformations to compose",
"name": "__init__",
"signature": "def __init__(self, *transforms)"
},
{
"docstring": "Augment batch",
"name": "forward",
"signature": "def forward(self, **batch)"
}
] | 2 | null | Implement the Python class `Compose` described below.
Class description:
Implement the Compose class.
Method signatures and docstrings:
- def __init__(self, *transforms): Compose multiple transforms to one Args: transforms: transformations to compose
- def forward(self, **batch): Augment batch | Implement the Python class `Compose` described below.
Class description:
Implement the Compose class.
Method signatures and docstrings:
- def __init__(self, *transforms): Compose multiple transforms to one Args: transforms: transformations to compose
- def forward(self, **batch): Augment batch
<|skeleton|>
class Com... | 4f41faa7536dcef8fca7b647dcdca25360e5b58a | <|skeleton|>
class Compose:
def __init__(self, *transforms):
"""Compose multiple transforms to one Args: transforms: transformations to compose"""
<|body_0|>
def forward(self, **batch):
"""Augment batch"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Compose:
def __init__(self, *transforms):
"""Compose multiple transforms to one Args: transforms: transformations to compose"""
super().__init__(grad=False)
if len(transforms) == 1 and isinstance(transforms[0], Sequence):
transforms = transforms[0]
self.transforms =... | the_stack_v2_python_sparse | nndet/io/transforms/base.py | dboun/nnDetection | train | 1 | |
3f413bbeb286c9b706c14a7b706281439189d82c | [
"self._trie = dict()\nfor word in words:\n for start in range(0, len(word) - 1):\n current_dict = self._trie\n for letter in word[start:]:\n current_dict = current_dict.setdefault(letter, {})\n if not current_dict.get(_end):\n current_dict[_end] = []\n current_di... | <|body_start_0|>
self._trie = dict()
for word in words:
for start in range(0, len(word) - 1):
current_dict = self._trie
for letter in word[start:]:
current_dict = current_dict.setdefault(letter, {})
if not current_dict.get(_... | SubstringTrie | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubstringTrie:
def __init__(self, words):
"""This little fucker needs to know about the substring's original words, so instead of _END: _END let's put _END: [original word]"""
<|body_0|>
def fetch(self, substring):
"""Return words that contain `substring`"""
... | stack_v2_sparse_classes_75kplus_train_009302 | 3,437 | no_license | [
{
"docstring": "This little fucker needs to know about the substring's original words, so instead of _END: _END let's put _END: [original word]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": "Return words that contain `substring`",
"name": "fetch",
"sign... | 2 | stack_v2_sparse_classes_30k_train_048693 | Implement the Python class `SubstringTrie` described below.
Class description:
Implement the SubstringTrie class.
Method signatures and docstrings:
- def __init__(self, words): This little fucker needs to know about the substring's original words, so instead of _END: _END let's put _END: [original word]
- def fetch(s... | Implement the Python class `SubstringTrie` described below.
Class description:
Implement the SubstringTrie class.
Method signatures and docstrings:
- def __init__(self, words): This little fucker needs to know about the substring's original words, so instead of _END: _END let's put _END: [original word]
- def fetch(s... | 60b0700156b893b95a1f30e6a45fb8cd0fb4bd32 | <|skeleton|>
class SubstringTrie:
def __init__(self, words):
"""This little fucker needs to know about the substring's original words, so instead of _END: _END let's put _END: [original word]"""
<|body_0|>
def fetch(self, substring):
"""Return words that contain `substring`"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubstringTrie:
def __init__(self, words):
"""This little fucker needs to know about the substring's original words, so instead of _END: _END let's put _END: [original word]"""
self._trie = dict()
for word in words:
for start in range(0, len(word) - 1):
curre... | the_stack_v2_python_sparse | portmanteaux/trie.py | rfong/shittynlp | train | 2 | |
dd8d4f5b4ef90aaa52373551bb60fa502e94df94 | [
"super(InferenceNetwork, self).__init__()\nself.num_stochastic_layers = num_stochastic_layers\nself.z_dim = z_dim\nself.experiment = experiment\nself.context_dim = context_dim\nself.h_dim = h_dim\ninput_dim = self.context_dim + self.h_dim\nself.model = nn.ModuleList()\nif experiment == 'synthetic':\n for i in ra... | <|body_start_0|>
super(InferenceNetwork, self).__init__()
self.num_stochastic_layers = num_stochastic_layers
self.z_dim = z_dim
self.experiment = experiment
self.context_dim = context_dim
self.h_dim = h_dim
input_dim = self.context_dim + self.h_dim
self.mo... | Variational approximation q(z_1, ..., z_L|c, x). | InferenceNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InferenceNetwork:
"""Variational approximation q(z_1, ..., z_L|c, x)."""
def __init__(self, experiment, num_stochastic_layers, z_dim, context_dim, h_dim):
""":param num_stochastic_layers: number of stochastic layers in the model :param z_dim: dimension of each stochastic layer :param... | stack_v2_sparse_classes_75kplus_train_009303 | 35,795 | no_license | [
{
"docstring": ":param num_stochastic_layers: number of stochastic layers in the model :param z_dim: dimension of each stochastic layer :param context_dim: dimension of c :param h_dim: dimension of (encoded) input",
"name": "__init__",
"signature": "def __init__(self, experiment, num_stochastic_layers, ... | 2 | stack_v2_sparse_classes_30k_train_017642 | Implement the Python class `InferenceNetwork` described below.
Class description:
Variational approximation q(z_1, ..., z_L|c, x).
Method signatures and docstrings:
- def __init__(self, experiment, num_stochastic_layers, z_dim, context_dim, h_dim): :param num_stochastic_layers: number of stochastic layers in the mode... | Implement the Python class `InferenceNetwork` described below.
Class description:
Variational approximation q(z_1, ..., z_L|c, x).
Method signatures and docstrings:
- def __init__(self, experiment, num_stochastic_layers, z_dim, context_dim, h_dim): :param num_stochastic_layers: number of stochastic layers in the mode... | 05c85b0d53f2b3ab2912cb5ebb94cecdeaa0be95 | <|skeleton|>
class InferenceNetwork:
"""Variational approximation q(z_1, ..., z_L|c, x)."""
def __init__(self, experiment, num_stochastic_layers, z_dim, context_dim, h_dim):
""":param num_stochastic_layers: number of stochastic layers in the model :param z_dim: dimension of each stochastic layer :param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InferenceNetwork:
"""Variational approximation q(z_1, ..., z_L|c, x)."""
def __init__(self, experiment, num_stochastic_layers, z_dim, context_dim, h_dim):
""":param num_stochastic_layers: number of stochastic layers in the model :param z_dim: dimension of each stochastic layer :param context_dim:... | the_stack_v2_python_sparse | models.py | yuxinc17/neural-stat | train | 0 |
e4f9e4c88a465b2dc0cf8a893f63f747de1e4e01 | [
"BaseEstimator.__init__(self)\nRegressorMixin.__init__(self)\nMultiOutputMixin.__init__(self)\nfor k, v in kwargs.items():\n setattr(self, k, v)\nself.force_positive = force_positive",
"res = NMF._get_param_names()\nres = res + ['force_positive']\nreturn res",
"res = {}\nfor k in self.__class__._get_param_na... | <|body_start_0|>
BaseEstimator.__init__(self)
RegressorMixin.__init__(self)
MultiOutputMixin.__init__(self)
for k, v in kwargs.items():
setattr(self, k, v)
self.force_positive = force_positive
<|end_body_0|>
<|body_start_1|>
res = NMF._get_param_names()
... | Converts :epkg:`sklearn:decomposition:NMF` into a predictor so that the prediction does not involve training even for new observations. The class uses a :epkg:`sklearn:decomposition:TruncatedSVD` of the components found by the :epkg:`sklearn:decomposition:NMF`. The prediction projects the test data into the components ... | ApproximateNMFPredictor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApproximateNMFPredictor:
"""Converts :epkg:`sklearn:decomposition:NMF` into a predictor so that the prediction does not involve training even for new observations. The class uses a :epkg:`sklearn:decomposition:TruncatedSVD` of the components found by the :epkg:`sklearn:decomposition:NMF`. The pre... | stack_v2_sparse_classes_75kplus_train_009304 | 3,582 | permissive | [
{
"docstring": "*kwargs* should contains parameters for :epkg:`sklearn:decomposition:NMF`. The parameter *force_positive* removes all negative predictions and replaces by zero.",
"name": "__init__",
"signature": "def __init__(self, force_positive=False, **kwargs)"
},
{
"docstring": "Returns the ... | 5 | stack_v2_sparse_classes_30k_train_054482 | Implement the Python class `ApproximateNMFPredictor` described below.
Class description:
Converts :epkg:`sklearn:decomposition:NMF` into a predictor so that the prediction does not involve training even for new observations. The class uses a :epkg:`sklearn:decomposition:TruncatedSVD` of the components found by the :ep... | Implement the Python class `ApproximateNMFPredictor` described below.
Class description:
Converts :epkg:`sklearn:decomposition:NMF` into a predictor so that the prediction does not involve training even for new observations. The class uses a :epkg:`sklearn:decomposition:TruncatedSVD` of the components found by the :ep... | 4b610bacaafff835a30880f2fb955fff3b087ad5 | <|skeleton|>
class ApproximateNMFPredictor:
"""Converts :epkg:`sklearn:decomposition:NMF` into a predictor so that the prediction does not involve training even for new observations. The class uses a :epkg:`sklearn:decomposition:TruncatedSVD` of the components found by the :epkg:`sklearn:decomposition:NMF`. The pre... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ApproximateNMFPredictor:
"""Converts :epkg:`sklearn:decomposition:NMF` into a predictor so that the prediction does not involve training even for new observations. The class uses a :epkg:`sklearn:decomposition:TruncatedSVD` of the components found by the :epkg:`sklearn:decomposition:NMF`. The prediction proje... | the_stack_v2_python_sparse | mlinsights/mlmodel/anmf_predictor.py | sdpython/mlinsights | train | 64 |
58d0388509b70e4bf541f3742244ea577d9b7ba5 | [
"self.csv_path = csv_path\nself.cow_list = []\nself.date = date.strftime('%Y/%m/%d')\nself.csv_path += date.strftime('%Y%m%d') + '/'\nself.__read_from_db(self.__get_cow_id_list())",
"dt = datetime.datetime(int(self.date[:4]), int(self.date[5:7]), int(self.date[8:10]))\nprint('reading cow information : ' + self.da... | <|body_start_0|>
self.csv_path = csv_path
self.cow_list = []
self.date = date.strftime('%Y/%m/%d')
self.csv_path += date.strftime('%Y%m%d') + '/'
self.__read_from_db(self.__get_cow_id_list())
<|end_body_0|>
<|body_start_1|>
dt = datetime.datetime(int(self.date[:4]), int(... | Cowshed | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cowshed:
def __init__(self, date: datetime, csv_path):
"""その日いた牛を登録する 日付をキーにしてコンストラクタでRSSIデータの読み込み"""
<|body_0|>
def __read_from_db(self, cow_id_list):
"""1頭ずつデータベースからRSSI情報を読み込む"""
<|body_1|>
def __get_cow_id_list(self):
"""csvファイルからその日第一放牧場にいた牛... | stack_v2_sparse_classes_75kplus_train_009305 | 2,305 | no_license | [
{
"docstring": "その日いた牛を登録する 日付をキーにしてコンストラクタでRSSIデータの読み込み",
"name": "__init__",
"signature": "def __init__(self, date: datetime, csv_path)"
},
{
"docstring": "1頭ずつデータベースからRSSI情報を読み込む",
"name": "__read_from_db",
"signature": "def __read_from_db(self, cow_id_list)"
},
{
"docstring":... | 5 | stack_v2_sparse_classes_30k_train_048378 | Implement the Python class `Cowshed` described below.
Class description:
Implement the Cowshed class.
Method signatures and docstrings:
- def __init__(self, date: datetime, csv_path): その日いた牛を登録する 日付をキーにしてコンストラクタでRSSIデータの読み込み
- def __read_from_db(self, cow_id_list): 1頭ずつデータベースからRSSI情報を読み込む
- def __get_cow_id_list(self... | Implement the Python class `Cowshed` described below.
Class description:
Implement the Cowshed class.
Method signatures and docstrings:
- def __init__(self, date: datetime, csv_path): その日いた牛を登録する 日付をキーにしてコンストラクタでRSSIデータの読み込み
- def __read_from_db(self, cow_id_list): 1頭ずつデータベースからRSSI情報を読み込む
- def __get_cow_id_list(self... | 9046329d57ef10b6643c9c6e7dcc3ea9b6294dee | <|skeleton|>
class Cowshed:
def __init__(self, date: datetime, csv_path):
"""その日いた牛を登録する 日付をキーにしてコンストラクタでRSSIデータの読み込み"""
<|body_0|>
def __read_from_db(self, cow_id_list):
"""1頭ずつデータベースからRSSI情報を読み込む"""
<|body_1|>
def __get_cow_id_list(self):
"""csvファイルからその日第一放牧場にいた牛... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Cowshed:
def __init__(self, date: datetime, csv_path):
"""その日いた牛を登録する 日付をキーにしてコンストラクタでRSSIデータの読み込み"""
self.csv_path = csv_path
self.cow_list = []
self.date = date.strftime('%Y/%m/%d')
self.csv_path += date.strftime('%Y%m%d') + '/'
self.__read_from_db(self.__get_... | the_stack_v2_python_sparse | COW_PROJECT/cows/cowshed_rssi.py | FUKUSHUN/cow_python | train | 1 | |
8e73fe7b8dd0aceaaa4c0739085c488d2649a286 | [
"new_spec = Specification(key=validated_data.get('key'), value=validated_data.get('value'), category=validated_data.get('category'), car=validated_data.get('car'))\nnew_spec.save()\nreturn new_spec",
"instance.key = validated_data.get('key', instance.key)\ninstance.value = validated_data.get('value', instance.val... | <|body_start_0|>
new_spec = Specification(key=validated_data.get('key'), value=validated_data.get('value'), category=validated_data.get('category'), car=validated_data.get('car'))
new_spec.save()
return new_spec
<|end_body_0|>
<|body_start_1|>
instance.key = validated_data.get('key', in... | SpecificationSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpecificationSerializer:
def create(self, validated_data):
"""create and return new 'Specification' instance"""
<|body_0|>
def update(self, instance, validated_data):
"""Update and return an existing `Specification` instance"""
<|body_1|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_75kplus_train_009306 | 6,342 | no_license | [
{
"docstring": "create and return new 'Specification' instance",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Update and return an existing `Specification` instance",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035782 | Implement the Python class `SpecificationSerializer` described below.
Class description:
Implement the SpecificationSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): create and return new 'Specification' instance
- def update(self, instance, validated_data): Update and return an ... | Implement the Python class `SpecificationSerializer` described below.
Class description:
Implement the SpecificationSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): create and return new 'Specification' instance
- def update(self, instance, validated_data): Update and return an ... | dba8d1fdb96889e41328e792816a4968cbeb1ed4 | <|skeleton|>
class SpecificationSerializer:
def create(self, validated_data):
"""create and return new 'Specification' instance"""
<|body_0|>
def update(self, instance, validated_data):
"""Update and return an existing `Specification` instance"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpecificationSerializer:
def create(self, validated_data):
"""create and return new 'Specification' instance"""
new_spec = Specification(key=validated_data.get('key'), value=validated_data.get('value'), category=validated_data.get('category'), car=validated_data.get('car'))
new_spec.sa... | the_stack_v2_python_sparse | cars_web/cars_app/serializers.py | Ignisor/cars_scrapper | train | 0 | |
c085289f31151cb3b8ae782250141b9d4c00732e | [
"context = super().get_context_data(**kwargs)\norderby = self.request.GET.get('sort', 'id') or 'id'\nmatch = self.request.GET.get('match', '')\ncontext['attachments'] = attachment_helpers.get_study_attachments(context['study'], orderby, match)\ncontext['match'] = match\nreturn context",
"attachment = self.request... | <|body_start_0|>
context = super().get_context_data(**kwargs)
orderby = self.request.GET.get('sort', 'id') or 'id'
match = self.request.GET.get('match', '')
context['attachments'] = attachment_helpers.get_study_attachments(context['study'], orderby, match)
context['match'] = matc... | StudyAttachments View shows video attachments for the study | StudyAttachments | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StudyAttachments:
"""StudyAttachments View shows video attachments for the study"""
def get_context_data(self, **kwargs):
"""In addition to the study, adds several items to the context dictionary. Study results are paginated."""
<|body_0|>
def post(self, request, *args, ... | stack_v2_sparse_classes_75kplus_train_009307 | 34,217 | permissive | [
{
"docstring": "In addition to the study, adds several items to the context dictionary. Study results are paginated.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Downloads study video",
"name": "post",
"signature": "def post(self, r... | 2 | stack_v2_sparse_classes_30k_train_014675 | Implement the Python class `StudyAttachments` described below.
Class description:
StudyAttachments View shows video attachments for the study
Method signatures and docstrings:
- def get_context_data(self, **kwargs): In addition to the study, adds several items to the context dictionary. Study results are paginated.
-... | Implement the Python class `StudyAttachments` described below.
Class description:
StudyAttachments View shows video attachments for the study
Method signatures and docstrings:
- def get_context_data(self, **kwargs): In addition to the study, adds several items to the context dictionary. Study results are paginated.
-... | 621fbb8b25100a21fd94721d39003b5d4f651dc5 | <|skeleton|>
class StudyAttachments:
"""StudyAttachments View shows video attachments for the study"""
def get_context_data(self, **kwargs):
"""In addition to the study, adds several items to the context dictionary. Study results are paginated."""
<|body_0|>
def post(self, request, *args, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StudyAttachments:
"""StudyAttachments View shows video attachments for the study"""
def get_context_data(self, **kwargs):
"""In addition to the study, adds several items to the context dictionary. Study results are paginated."""
context = super().get_context_data(**kwargs)
orderby... | the_stack_v2_python_sparse | exp/views/study.py | enrobyn/lookit-api | train | 0 |
2cf5afff4a64c1b1b889f5a95c0b96b772f4dc1e | [
"self.sensor = Sensor('127.0.0.1', 8000)\nself.sensor.measure = MagicMock(return_value=100)\nself.pump = Pump('127.0.0.1', 8000)\nself.pump.set_state = MagicMock(return_value=True)\nself.pump.get_state = MagicMock(return_value=self.pump.PUMP_OFF)\nself.decider = Decider(100, 0.1)\nself.decider.decide = MagicMock(re... | <|body_start_0|>
self.sensor = Sensor('127.0.0.1', 8000)
self.sensor.measure = MagicMock(return_value=100)
self.pump = Pump('127.0.0.1', 8000)
self.pump.set_state = MagicMock(return_value=True)
self.pump.get_state = MagicMock(return_value=self.pump.PUMP_OFF)
self.decider ... | Unit tests for the Controller class | ControllerTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ControllerTests:
"""Unit tests for the Controller class"""
def setUp(self):
"""Set up method for test_controller"""
<|body_0|>
def test_controller(self):
"""Test controller and tick: 1: Check sensor.measure for accuracy 2: test pump.get_state for correct return 3... | stack_v2_sparse_classes_75kplus_train_009308 | 4,232 | no_license | [
{
"docstring": "Set up method for test_controller",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test controller and tick: 1: Check sensor.measure for accuracy 2: test pump.get_state for correct return 3: decider.decide for correct 'decision' 4: Test pump.set_state for expe... | 2 | stack_v2_sparse_classes_30k_train_031206 | Implement the Python class `ControllerTests` described below.
Class description:
Unit tests for the Controller class
Method signatures and docstrings:
- def setUp(self): Set up method for test_controller
- def test_controller(self): Test controller and tick: 1: Check sensor.measure for accuracy 2: test pump.get_state... | Implement the Python class `ControllerTests` described below.
Class description:
Unit tests for the Controller class
Method signatures and docstrings:
- def setUp(self): Set up method for test_controller
- def test_controller(self): Test controller and tick: 1: Check sensor.measure for accuracy 2: test pump.get_state... | b1fea0309b3495b3e1dc167d7029bc9e4b6f00f1 | <|skeleton|>
class ControllerTests:
"""Unit tests for the Controller class"""
def setUp(self):
"""Set up method for test_controller"""
<|body_0|>
def test_controller(self):
"""Test controller and tick: 1: Check sensor.measure for accuracy 2: test pump.get_state for correct return 3... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ControllerTests:
"""Unit tests for the Controller class"""
def setUp(self):
"""Set up method for test_controller"""
self.sensor = Sensor('127.0.0.1', 8000)
self.sensor.measure = MagicMock(return_value=100)
self.pump = Pump('127.0.0.1', 8000)
self.pump.set_state = M... | the_stack_v2_python_sparse | students/MicahBraun/Lesson 6/water-regulation/test.py | UWPCE-PythonCert-ClassRepos/SP_Online_Course2_2018 | train | 4 |
efa3617ec1b40971144d93c92122f7aa9c1e3097 | [
"res = []\nif not root:\n return res\nq1 = collections.deque()\nq2 = collections.deque()\norder = 1\nq1.append(root)\nwhile q1 or q2:\n res.append([])\n if order == 1:\n while q1:\n node = q1.popleft()\n res[-1].append(node.val)\n if node.left:\n q2.ap... | <|body_start_0|>
res = []
if not root:
return res
q1 = collections.deque()
q2 = collections.deque()
order = 1
q1.append(root)
while q1 or q2:
res.append([])
if order == 1:
while q1:
node = q1.... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def levelOrder(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_0|>
def levelOrder2(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = []
if not ... | stack_v2_sparse_classes_75kplus_train_009309 | 1,923 | permissive | [
{
"docstring": ":type root: TreeNode :rtype: List[List[int]]",
"name": "levelOrder",
"signature": "def levelOrder(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: List[List[int]]",
"name": "levelOrder2",
"signature": "def levelOrder2(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047974 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def levelOrder(self, root): :type root: TreeNode :rtype: List[List[int]]
- def levelOrder2(self, root): :type root: TreeNode :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def levelOrder(self, root): :type root: TreeNode :rtype: List[List[int]]
- def levelOrder2(self, root): :type root: TreeNode :rtype: List[List[int]]
<|skeleton|>
class Solution:... | 34d34280170c991ea7a28d74a3f2338753844917 | <|skeleton|>
class Solution:
def levelOrder(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_0|>
def levelOrder2(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def levelOrder(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
res = []
if not root:
return res
q1 = collections.deque()
q2 = collections.deque()
order = 1
q1.append(root)
while q1 or q2:
res.appe... | the_stack_v2_python_sparse | binary_tree_level_order_traversal_102.py | danielsunzhongyuan/my_leetcode_in_python | train | 0 | |
33d21395285617850f59e68074defa3edbba3cd1 | [
"self.board = board\nself.archive = archive\nself.archive.visitedStates[str(self.board.changeable)] = 'beginning!'\nself.save = save",
"print('[' + time.strftime('%H:%M:%S') + ']' + ' Running algorithm...\\n')\nwhile self.board.checkSolution() != 0:\n children = self.board.createChildren()\n childToCheck = ... | <|body_start_0|>
self.board = board
self.archive = archive
self.archive.visitedStates[str(self.board.changeable)] = 'beginning!'
self.save = save
<|end_body_0|>
<|body_start_1|>
print('[' + time.strftime('%H:%M:%S') + ']' + ' Running algorithm...\n')
while self.board.che... | Random | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Random:
def __init__(self, board, archive, save):
"""Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class."""
... | stack_v2_sparse_classes_75kplus_train_009310 | 1,929 | no_license | [
{
"docstring": "Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class.",
"name": "__init__",
"signature": "def __init__(self, boa... | 2 | stack_v2_sparse_classes_30k_train_051724 | Implement the Python class `Random` described below.
Class description:
Implement the Random class.
Method signatures and docstrings:
- def __init__(self, board, archive, save): Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game... | Implement the Python class `Random` described below.
Class description:
Implement the Random class.
Method signatures and docstrings:
- def __init__(self, board, archive, save): Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game... | 4d1eb8a94e38e256699c964b0c7147364ece099a | <|skeleton|>
class Random:
def __init__(self, board, archive, save):
"""Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Random:
def __init__(self, board, archive, save):
"""Takes all information of the board with it's state as the beginning of the game. Args: board (class): Containing all information of the game. archive (class): Containing the archive class. save (class): Containing the save class."""
self.boa... | the_stack_v2_python_sparse | src/algorithms/random.py | KevinVuongly/ProgrAmsterdam | train | 0 | |
ff021c5d7db2117db1fa807d5adebbe737324af0 | [
"tk.Frame.__init__(self, parent)\nself.controller = controller\nlbl_enter_test_type = tk.Label(self, text='Type of test run: ')\nlbl_enter_primary_weight = tk.Label(self, text='CVT primary weight: ')\nlbl_enter_primary_spring = tk.Label(self, text='CVT primary spring: ')\nlbl_enter_secondary_spring = tk.Label(self,... | <|body_start_0|>
tk.Frame.__init__(self, parent)
self.controller = controller
lbl_enter_test_type = tk.Label(self, text='Type of test run: ')
lbl_enter_primary_weight = tk.Label(self, text='CVT primary weight: ')
lbl_enter_primary_spring = tk.Label(self, text='CVT primary spring:... | InputPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InputPage:
def __init__(self, parent, controller):
"""Create the input page containing the text fields."""
<|body_0|>
def save_info(self, type_of_run, primary_weight, primary_spring, secondary_spring, secondary_clock, controller):
"""Save the information entered in t... | stack_v2_sparse_classes_75kplus_train_009311 | 6,622 | no_license | [
{
"docstring": "Create the input page containing the text fields.",
"name": "__init__",
"signature": "def __init__(self, parent, controller)"
},
{
"docstring": "Save the information entered in the Input page.",
"name": "save_info",
"signature": "def save_info(self, type_of_run, primary_w... | 2 | stack_v2_sparse_classes_30k_train_015270 | Implement the Python class `InputPage` described below.
Class description:
Implement the InputPage class.
Method signatures and docstrings:
- def __init__(self, parent, controller): Create the input page containing the text fields.
- def save_info(self, type_of_run, primary_weight, primary_spring, secondary_spring, s... | Implement the Python class `InputPage` described below.
Class description:
Implement the InputPage class.
Method signatures and docstrings:
- def __init__(self, parent, controller): Create the input page containing the text fields.
- def save_info(self, type_of_run, primary_weight, primary_spring, secondary_spring, s... | f03b2ce7e634badb0e55396f3914301def57934c | <|skeleton|>
class InputPage:
def __init__(self, parent, controller):
"""Create the input page containing the text fields."""
<|body_0|>
def save_info(self, type_of_run, primary_weight, primary_spring, secondary_spring, secondary_clock, controller):
"""Save the information entered in t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InputPage:
def __init__(self, parent, controller):
"""Create the input page containing the text fields."""
tk.Frame.__init__(self, parent)
self.controller = controller
lbl_enter_test_type = tk.Label(self, text='Type of test run: ')
lbl_enter_primary_weight = tk.Label(se... | the_stack_v2_python_sparse | GUI/GUI.py | krystal-bc/Senior-Design | train | 0 | |
71d4689d054126195b899474efa7654b0eec14bb | [
"s = 'nothingremovedhere'\nresult = findbestmatch._clean_non_chars(s)\nself.assertEqual(s, result)",
"s = '#$%#^$%&**'\nresult = findbestmatch._clean_non_chars(s)\nself.assertEqual('', result)",
"s = ''\nresult = findbestmatch._clean_non_chars(s)\nself.assertEqual('', result)"
] | <|body_start_0|>
s = 'nothingremovedhere'
result = findbestmatch._clean_non_chars(s)
self.assertEqual(s, result)
<|end_body_0|>
<|body_start_1|>
s = '#$%#^$%&**'
result = findbestmatch._clean_non_chars(s)
self.assertEqual('', result)
<|end_body_1|>
<|body_start_2|>
... | TestFindBestMatch | [
"BSD-3-Clause",
"LGPL-2.1-or-later",
"LGPL-2.1-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFindBestMatch:
def testclean_text_1(self):
"""Test for _clean_non_chars (alphanumeric symbols)"""
<|body_0|>
def testclean_text_2(self):
"""Test for _clean_non_chars (special symbols)"""
<|body_1|>
def testclean_text_3(self):
"""Test for _cle... | stack_v2_sparse_classes_75kplus_train_009312 | 4,823 | permissive | [
{
"docstring": "Test for _clean_non_chars (alphanumeric symbols)",
"name": "testclean_text_1",
"signature": "def testclean_text_1(self)"
},
{
"docstring": "Test for _clean_non_chars (special symbols)",
"name": "testclean_text_2",
"signature": "def testclean_text_2(self)"
},
{
"do... | 3 | stack_v2_sparse_classes_30k_train_050656 | Implement the Python class `TestFindBestMatch` described below.
Class description:
Implement the TestFindBestMatch class.
Method signatures and docstrings:
- def testclean_text_1(self): Test for _clean_non_chars (alphanumeric symbols)
- def testclean_text_2(self): Test for _clean_non_chars (special symbols)
- def tes... | Implement the Python class `TestFindBestMatch` described below.
Class description:
Implement the TestFindBestMatch class.
Method signatures and docstrings:
- def testclean_text_1(self): Test for _clean_non_chars (alphanumeric symbols)
- def testclean_text_2(self): Test for _clean_non_chars (special symbols)
- def tes... | bf7f789d01b7c66ccd0c213db0a029da7e588c9e | <|skeleton|>
class TestFindBestMatch:
def testclean_text_1(self):
"""Test for _clean_non_chars (alphanumeric symbols)"""
<|body_0|>
def testclean_text_2(self):
"""Test for _clean_non_chars (special symbols)"""
<|body_1|>
def testclean_text_3(self):
"""Test for _cle... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestFindBestMatch:
def testclean_text_1(self):
"""Test for _clean_non_chars (alphanumeric symbols)"""
s = 'nothingremovedhere'
result = findbestmatch._clean_non_chars(s)
self.assertEqual(s, result)
def testclean_text_2(self):
"""Test for _clean_non_chars (special s... | the_stack_v2_python_sparse | pywinauto/unittests/test_findbestmatch.py | pywinauto/pywinauto | train | 4,466 | |
5c9f05f46527f6dc76d6bf40e1d2fa43fcb5b29f | [
"if request.user.is_authenticated:\n return redirect('account')\nreturn render(request, 'auth_form.html', self.ctx)",
"form = UserCreationForm(request.POST)\nif form.is_valid():\n form.save()\n email = form.cleaned_data.get('email')\n raw_password = form.cleaned_data.get('password1')\n user = authe... | <|body_start_0|>
if request.user.is_authenticated:
return redirect('account')
return render(request, 'auth_form.html', self.ctx)
<|end_body_0|>
<|body_start_1|>
form = UserCreationForm(request.POST)
if form.is_valid():
form.save()
email = form.cleaned... | Class handling the registration form | SignupView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignupView:
"""Class handling the registration form"""
def get(self, request, *args, **kwargs):
"""Renders the registration form, or redirect to 'account' if the user is already authenticated"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Handles the ... | stack_v2_sparse_classes_75kplus_train_009313 | 5,701 | no_license | [
{
"docstring": "Renders the registration form, or redirect to 'account' if the user is already authenticated",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Handles the form validation and user registration",
"name": "post",
"signature": "def po... | 2 | stack_v2_sparse_classes_30k_train_040946 | Implement the Python class `SignupView` described below.
Class description:
Class handling the registration form
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Renders the registration form, or redirect to 'account' if the user is already authenticated
- def post(self, request, *args, **... | Implement the Python class `SignupView` described below.
Class description:
Class handling the registration form
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Renders the registration form, or redirect to 'account' if the user is already authenticated
- def post(self, request, *args, **... | 9a58efe4a4c1dd0b3d27bbc01ee945baa6dc4e97 | <|skeleton|>
class SignupView:
"""Class handling the registration form"""
def get(self, request, *args, **kwargs):
"""Renders the registration form, or redirect to 'account' if the user is already authenticated"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Handles the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignupView:
"""Class handling the registration form"""
def get(self, request, *args, **kwargs):
"""Renders the registration form, or redirect to 'account' if the user is already authenticated"""
if request.user.is_authenticated:
return redirect('account')
return render... | the_stack_v2_python_sparse | accounts/views.py | SebGoliot/oc_p8-purbeurre | train | 0 |
bd96779cbd1a8e8c860370b167a87a20102decab | [
"if root == None:\n return ''\nres = []\nq = collections.deque()\nq.append(root)\nwhile q:\n x = q.popleft()\n if x:\n res.append(str(x.val))\n q.append(x.left)\n q.append(x.right)\n else:\n res.append('None')\nreturn ','.join(res)",
"if data == '':\n return None\ndata =... | <|body_start_0|>
if root == None:
return ''
res = []
q = collections.deque()
q.append(root)
while q:
x = q.popleft()
if x:
res.append(str(x.val))
q.append(x.left)
q.append(x.right)
els... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_009314 | 1,591 | 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_033333 | 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:... | 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:... | c745168a01380edb52155ca3918787d2dd356e5b | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root == None:
return ''
res = []
q = collections.deque()
q.append(root)
while q:
x = q.popleft()
if x:
... | the_stack_v2_python_sparse | pythonAlgorithm/Practice/hard/297二叉树的序列化与反序列化.py | bossjoker1/algorithm | train | 4 | |
0309c140249b6c506b66f4fb3960977397f36597 | [
"for i in range(len(nums)):\n start = i\n if nums[i] == 0:\n continue\n positive = nums[start] > 0\n if nums[start] % len(nums) == 0:\n continue\n i_next = (i + nums[start]) % len(nums)\n while nums[i_next] % len(nums) != 0:\n if positive != (nums[i_next] > 0):\n br... | <|body_start_0|>
for i in range(len(nums)):
start = i
if nums[i] == 0:
continue
positive = nums[start] > 0
if nums[start] % len(nums) == 0:
continue
i_next = (i + nums[start]) % len(nums)
while nums[i_next] %... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def circularArrayLoop(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def circularArrayLoop2(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for i in range(len(nums)):
... | stack_v2_sparse_classes_75kplus_train_009315 | 2,818 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "circularArrayLoop",
"signature": "def circularArrayLoop(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "circularArrayLoop2",
"signature": "def circularArrayLoop2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000253 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def circularArrayLoop(self, nums): :type nums: List[int] :rtype: bool
- def circularArrayLoop2(self, nums): :type nums: List[int] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def circularArrayLoop(self, nums): :type nums: List[int] :rtype: bool
- def circularArrayLoop2(self, nums): :type nums: List[int] :rtype: bool
<|skeleton|>
class Solution:
... | 635af6e22aa8eef8e7920a585d43a45a891a8157 | <|skeleton|>
class Solution:
def circularArrayLoop(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def circularArrayLoop2(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def circularArrayLoop(self, nums):
""":type nums: List[int] :rtype: bool"""
for i in range(len(nums)):
start = i
if nums[i] == 0:
continue
positive = nums[start] > 0
if nums[start] % len(nums) == 0:
conti... | the_stack_v2_python_sparse | code457CircularArrayLoop.py | cybelewang/leetcode-python | train | 0 | |
55ae62165f757289721c3796b3aaa2206ff3ad2a | [
"self.is_categorical = is_categorical\nself.is_binary = len(unique_values) == 2\nself.unique_values = unique_values\nself.min = min(unique_values)\nself.max = max(unique_values)",
"mean = stats.mean(unique_values)\nstdev = stats.stdev(unique_values)\nreturn [mean - stdev, mean + stdev]",
"min_max_diff = self.ma... | <|body_start_0|>
self.is_categorical = is_categorical
self.is_binary = len(unique_values) == 2
self.unique_values = unique_values
self.min = min(unique_values)
self.max = max(unique_values)
<|end_body_0|>
<|body_start_1|>
mean = stats.mean(unique_values)
stdev = ... | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
def __init__(self, unique_values, is_categorical):
"""Constructor of an Encoder using one-hot-encoding"""
<|body_0|>
def __get_stdev_band(self, unique_values):
"""Get the lower bound and upper bound for the standard devaitation band for continuous value."""
... | stack_v2_sparse_classes_75kplus_train_009316 | 1,820 | no_license | [
{
"docstring": "Constructor of an Encoder using one-hot-encoding",
"name": "__init__",
"signature": "def __init__(self, unique_values, is_categorical)"
},
{
"docstring": "Get the lower bound and upper bound for the standard devaitation band for continuous value.",
"name": "__get_stdev_band",... | 4 | stack_v2_sparse_classes_30k_train_004462 | Implement the Python class `Encoder` described below.
Class description:
Implement the Encoder class.
Method signatures and docstrings:
- def __init__(self, unique_values, is_categorical): Constructor of an Encoder using one-hot-encoding
- def __get_stdev_band(self, unique_values): Get the lower bound and upper bound... | Implement the Python class `Encoder` described below.
Class description:
Implement the Encoder class.
Method signatures and docstrings:
- def __init__(self, unique_values, is_categorical): Constructor of an Encoder using one-hot-encoding
- def __get_stdev_band(self, unique_values): Get the lower bound and upper bound... | 9ae339f81fc7134ba9058fe975dec9ac7e3aaba4 | <|skeleton|>
class Encoder:
def __init__(self, unique_values, is_categorical):
"""Constructor of an Encoder using one-hot-encoding"""
<|body_0|>
def __get_stdev_band(self, unique_values):
"""Get the lower bound and upper bound for the standard devaitation band for continuous value."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Encoder:
def __init__(self, unique_values, is_categorical):
"""Constructor of an Encoder using one-hot-encoding"""
self.is_categorical = is_categorical
self.is_binary = len(unique_values) == 2
self.unique_values = unique_values
self.min = min(unique_values)
self... | the_stack_v2_python_sparse | Project6/encoding.py | vincy0320/School_Intro_to_ML | train | 0 | |
fdf29d115289758c0fc2b00344f357292e489ce7 | [
"test = '5 6\\n1 2\\n1 3\\n2 3\\n2 4\\n3 4\\n4 5'\nd = Musk(test)\nself.assertEqual(d.n, 5)\nself.assertEqual(d.m, 6)\nself.assertEqual(d.numa, [0, 0, 1, 1, 2, 3])\nself.assertEqual(d.numb, [1, 2, 2, 3, 3, 4])\nself.assertEqual(d.sets[0], {1, 2})\nself.assertEqual(d.sets[3], {1, 2, 4})\nself.assertEqual(Musk(test).... | <|body_start_0|>
test = '5 6\n1 2\n1 3\n2 3\n2 4\n3 4\n4 5'
d = Musk(test)
self.assertEqual(d.n, 5)
self.assertEqual(d.m, 6)
self.assertEqual(d.numa, [0, 0, 1, 1, 2, 3])
self.assertEqual(d.numb, [1, 2, 2, 3, 3, 4])
self.assertEqual(d.sets[0], {1, 2})
self.... | unitTests | [
"Unlicense",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class unitTests:
def test_single_test(self):
"""Musk class testing"""
<|body_0|>
def time_limit_test(self, nmax):
"""Timelimit testing"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
test = '5 6\n1 2\n1 3\n2 3\n2 4\n3 4\n4 5'
d = Musk(test)
... | stack_v2_sparse_classes_75kplus_train_009317 | 3,953 | permissive | [
{
"docstring": "Musk class testing",
"name": "test_single_test",
"signature": "def test_single_test(self)"
},
{
"docstring": "Timelimit testing",
"name": "time_limit_test",
"signature": "def time_limit_test(self, nmax)"
}
] | 2 | stack_v2_sparse_classes_30k_train_040643 | Implement the Python class `unitTests` described below.
Class description:
Implement the unitTests class.
Method signatures and docstrings:
- def test_single_test(self): Musk class testing
- def time_limit_test(self, nmax): Timelimit testing | Implement the Python class `unitTests` described below.
Class description:
Implement the unitTests class.
Method signatures and docstrings:
- def test_single_test(self): Musk class testing
- def time_limit_test(self, nmax): Timelimit testing
<|skeleton|>
class unitTests:
def test_single_test(self):
"""M... | ae02ea872ca91ef98630cc172a844b82cc56f621 | <|skeleton|>
class unitTests:
def test_single_test(self):
"""Musk class testing"""
<|body_0|>
def time_limit_test(self, nmax):
"""Timelimit testing"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class unitTests:
def test_single_test(self):
"""Musk class testing"""
test = '5 6\n1 2\n1 3\n2 3\n2 4\n3 4\n4 5'
d = Musk(test)
self.assertEqual(d.n, 5)
self.assertEqual(d.m, 6)
self.assertEqual(d.numa, [0, 0, 1, 1, 2, 3])
self.assertEqual(d.numb, [1, 2, 2, 3,... | the_stack_v2_python_sparse | codeforces/574B_musk.py | snsokolov/contests | train | 1 | |
31a4a12b348e3837db43254aff922a8ad4447f1c | [
"self.face_detector = face_detector\nself.face_generator = face_generator\nself.save_all = save_all\nself.config = config\nself.video_converter = None\nif 'video_smooth_filter' in self.config:\n self.video_converter = video_utils.VideoConverter(use_kalman_filter=self.config['video_smooth_filter'] == 'kalman', bb... | <|body_start_0|>
self.face_detector = face_detector
self.face_generator = face_generator
self.save_all = save_all
self.config = config
self.video_converter = None
if 'video_smooth_filter' in self.config:
self.video_converter = video_utils.VideoConverter(use_ka... | Swapper | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Swapper:
def __init__(self, face_detector: FaceDetector, face_generator: FaceGenerator, config, save_all=False):
"""Utility object that holds and manages the components necessary for swapping faces in a picture. :param face_detector: :param face_generator: :param config: :param save_all:... | stack_v2_sparse_classes_75kplus_train_009318 | 14,636 | permissive | [
{
"docstring": "Utility object that holds and manages the components necessary for swapping faces in a picture. :param face_detector: :param face_generator: :param config: :param save_all:",
"name": "__init__",
"signature": "def __init__(self, face_detector: FaceDetector, face_generator: FaceGenerator, ... | 2 | stack_v2_sparse_classes_30k_train_008977 | Implement the Python class `Swapper` described below.
Class description:
Implement the Swapper class.
Method signatures and docstrings:
- def __init__(self, face_detector: FaceDetector, face_generator: FaceGenerator, config, save_all=False): Utility object that holds and manages the components necessary for swapping ... | Implement the Python class `Swapper` described below.
Class description:
Implement the Swapper class.
Method signatures and docstrings:
- def __init__(self, face_detector: FaceDetector, face_generator: FaceGenerator, config, save_all=False): Utility object that holds and manages the components necessary for swapping ... | ada4803d4f1d53233ba4592beec75271254e5182 | <|skeleton|>
class Swapper:
def __init__(self, face_detector: FaceDetector, face_generator: FaceGenerator, config, save_all=False):
"""Utility object that holds and manages the components necessary for swapping faces in a picture. :param face_detector: :param face_generator: :param config: :param save_all:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Swapper:
def __init__(self, face_detector: FaceDetector, face_generator: FaceGenerator, config, save_all=False):
"""Utility object that holds and manages the components necessary for swapping faces in a picture. :param face_detector: :param face_generator: :param config: :param save_all:"""
se... | the_stack_v2_python_sparse | face_swap/deep_swap.py | brahimbellahcen/face-swap | train | 0 | |
4f50754d0b54b21756753e73d486c9418fb8db90 | [
"assert isinstance(input_size, tuple), 'Input size must be a tuple (input_width, input_height)'\nself.input_size = input_size[:2]\nif gaussian_std is None:\n self.gaussian_std = gaussian_std\nelse:\n assert isinstance(gaussian_std, float), 'Gaussian std. dev must be a float'\n assert gaussian_std > 0.0, 'g... | <|body_start_0|>
assert isinstance(input_size, tuple), 'Input size must be a tuple (input_width, input_height)'
self.input_size = input_size[:2]
if gaussian_std is None:
self.gaussian_std = gaussian_std
else:
assert isinstance(gaussian_std, float), 'Gaussian std. ... | SpectrogramAddGaussNoise | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpectrogramAddGaussNoise:
def __init__(self, input_size, gaussian_mean=0.0, gaussian_std=None, prob_to_have_noise=1.0):
"""Add Gaussian Noise to the spectrogram using numpy Args: - input_size: size of the spectrogram OPTIONAL: - gaussian_mean: gaussian mean to apply - gaussian_std: gauss... | stack_v2_sparse_classes_75kplus_train_009319 | 5,592 | no_license | [
{
"docstring": "Add Gaussian Noise to the spectrogram using numpy Args: - input_size: size of the spectrogram OPTIONAL: - gaussian_mean: gaussian mean to apply - gaussian_std: gaussian standard deviation to apply - prob_to_have_noise: probability to have noise",
"name": "__init__",
"signature": "def __i... | 2 | stack_v2_sparse_classes_30k_train_033210 | Implement the Python class `SpectrogramAddGaussNoise` described below.
Class description:
Implement the SpectrogramAddGaussNoise class.
Method signatures and docstrings:
- def __init__(self, input_size, gaussian_mean=0.0, gaussian_std=None, prob_to_have_noise=1.0): Add Gaussian Noise to the spectrogram using numpy Ar... | Implement the Python class `SpectrogramAddGaussNoise` described below.
Class description:
Implement the SpectrogramAddGaussNoise class.
Method signatures and docstrings:
- def __init__(self, input_size, gaussian_mean=0.0, gaussian_std=None, prob_to_have_noise=1.0): Add Gaussian Noise to the spectrogram using numpy Ar... | efaf7c637e8387116d0eea37a0a173bb65bbccc9 | <|skeleton|>
class SpectrogramAddGaussNoise:
def __init__(self, input_size, gaussian_mean=0.0, gaussian_std=None, prob_to_have_noise=1.0):
"""Add Gaussian Noise to the spectrogram using numpy Args: - input_size: size of the spectrogram OPTIONAL: - gaussian_mean: gaussian mean to apply - gaussian_std: gauss... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpectrogramAddGaussNoise:
def __init__(self, input_size, gaussian_mean=0.0, gaussian_std=None, prob_to_have_noise=1.0):
"""Add Gaussian Noise to the spectrogram using numpy Args: - input_size: size of the spectrogram OPTIONAL: - gaussian_mean: gaussian mean to apply - gaussian_std: gaussian standard d... | the_stack_v2_python_sparse | core/data_augmentation/image_transformations.py | EmanueleMusumeci/UrbanSound8K-CNN-sound-classification | train | 1 | |
46b1fce46aaec00aee7e8011fc02a3a7a6e62714 | [
"loan = Loan.objects.all()\nserializer = LoanSerializer2(loan, many=True)\nreturn Response(serializer.data)",
"json_data = request.data\nloan = {'loan_amount': request.data['loan_amount'], 'loan_duration': request.data['loan_duration'], 'rate_of_interest': request.data['rate_of_interest'], 'interest_amount': requ... | <|body_start_0|>
loan = Loan.objects.all()
serializer = LoanSerializer2(loan, many=True)
return Response(serializer.data)
<|end_body_0|>
<|body_start_1|>
json_data = request.data
loan = {'loan_amount': request.data['loan_amount'], 'loan_duration': request.data['loan_duration'], ... | Management | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Management:
def get(self, request):
"""Get tha Loan data."""
<|body_0|>
def post(self, request):
"""Post loan data"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
loan = Loan.objects.all()
serializer = LoanSerializer2(loan, many=True)
... | stack_v2_sparse_classes_75kplus_train_009320 | 3,932 | no_license | [
{
"docstring": "Get tha Loan data.",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Post loan data",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009394 | Implement the Python class `Management` described below.
Class description:
Implement the Management class.
Method signatures and docstrings:
- def get(self, request): Get tha Loan data.
- def post(self, request): Post loan data | Implement the Python class `Management` described below.
Class description:
Implement the Management class.
Method signatures and docstrings:
- def get(self, request): Get tha Loan data.
- def post(self, request): Post loan data
<|skeleton|>
class Management:
def get(self, request):
"""Get tha Loan data... | 83455c50e2ee910f03db47fbe1420d1cbd7eb292 | <|skeleton|>
class Management:
def get(self, request):
"""Get tha Loan data."""
<|body_0|>
def post(self, request):
"""Post loan data"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Management:
def get(self, request):
"""Get tha Loan data."""
loan = Loan.objects.all()
serializer = LoanSerializer2(loan, many=True)
return Response(serializer.data)
def post(self, request):
"""Post loan data"""
json_data = request.data
loan = {'loa... | the_stack_v2_python_sparse | mcred/loan_operation/views.py | vshaladhav97/django_practise_projects | train | 0 | |
2d68b016ac3b57dfdb06067f6e25d351a4ad9c6b | [
"rb_params = params\nparam_units = {k: unit.kJ / unit.mol for k in rb_params}\nreturn _copy_params(rb_params, param_units=param_units)",
"for proper in topology.propers:\n atom_indices = tuple((topology.atom_index(atom) for atom in proper))\n top_key = TopologyKey(atom_indices=atom_indices)\n pot_key_ids... | <|body_start_0|>
rb_params = params
param_units = {k: unit.kJ / unit.mol for k in rb_params}
return _copy_params(rb_params, param_units=param_units)
<|end_body_0|>
<|body_start_1|>
for proper in topology.propers:
atom_indices = tuple((topology.atom_index(atom) for atom in pr... | Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field. | FoyerRBProperHandler | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FoyerRBProperHandler:
"""Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field."""
def get_params_with_units(self, params):
"""Get the parameters of this handler, tagged with units."""
<|body_0|>
def store_matches(self, atom_slot... | stack_v2_sparse_classes_75kplus_train_009321 | 6,006 | permissive | [
{
"docstring": "Get the parameters of this handler, tagged with units.",
"name": "get_params_with_units",
"signature": "def get_params_with_units(self, params)"
},
{
"docstring": "Populate self.key_map with key-val pairs of [TopologyKey, PotentialKey].",
"name": "store_matches",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_004316 | Implement the Python class `FoyerRBProperHandler` described below.
Class description:
Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field.
Method signatures and docstrings:
- def get_params_with_units(self, params): Get the parameters of this handler, tagged with units.
- d... | Implement the Python class `FoyerRBProperHandler` described below.
Class description:
Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field.
Method signatures and docstrings:
- def get_params_with_units(self, params): Get the parameters of this handler, tagged with units.
- d... | 4616f2cff477c18e2c6ca70ac4c74c28b283a4be | <|skeleton|>
class FoyerRBProperHandler:
"""Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field."""
def get_params_with_units(self, params):
"""Get the parameters of this handler, tagged with units."""
<|body_0|>
def store_matches(self, atom_slot... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FoyerRBProperHandler:
"""Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field."""
def get_params_with_units(self, params):
"""Get the parameters of this handler, tagged with units."""
rb_params = params
param_units = {k: unit.kJ / unit.mo... | the_stack_v2_python_sparse | openff/interchange/foyer/_valence.py | openforcefield/openff-interchange | train | 39 |
bf39ff7a8923716007dba8836708fa272d543c38 | [
"if data != []:\n return cls({key: value['value'] for key, value in data.items()})\nreturn cls()",
"norm_data = {}\nfor key, value in data.items():\n if isinstance(value, str):\n norm_data[key] = {'language': key, 'value': value}\n else:\n norm_data[key] = value\nreturn norm_data",
"data ... | <|body_start_0|>
if data != []:
return cls({key: value['value'] for key, value in data.items()})
return cls()
<|end_body_0|>
<|body_start_1|>
norm_data = {}
for key, value in data.items():
if isinstance(value, str):
norm_data[key] = {'language': k... | A structure holding language data for a Wikibase entity. Language data are mappings from a language to a string. It can be labels, descriptions and others. | LanguageDict | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LanguageDict:
"""A structure holding language data for a Wikibase entity. Language data are mappings from a language to a string. It can be labels, descriptions and others."""
def fromJSON(cls, data, repo=None):
"""Construct a new LanguageDict from JSON."""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus_train_009322 | 18,327 | permissive | [
{
"docstring": "Construct a new LanguageDict from JSON.",
"name": "fromJSON",
"signature": "def fromJSON(cls, data, repo=None)"
},
{
"docstring": "Helper function to expand data into the Wikibase API structure. :param data: Data to normalize :return: The dict with normalized data",
"name": "... | 3 | stack_v2_sparse_classes_30k_train_013034 | Implement the Python class `LanguageDict` described below.
Class description:
A structure holding language data for a Wikibase entity. Language data are mappings from a language to a string. It can be labels, descriptions and others.
Method signatures and docstrings:
- def fromJSON(cls, data, repo=None): Construct a ... | Implement the Python class `LanguageDict` described below.
Class description:
A structure holding language data for a Wikibase entity. Language data are mappings from a language to a string. It can be labels, descriptions and others.
Method signatures and docstrings:
- def fromJSON(cls, data, repo=None): Construct a ... | 5c01e6bfcd328bc6eae643e661f1a0ae57612808 | <|skeleton|>
class LanguageDict:
"""A structure holding language data for a Wikibase entity. Language data are mappings from a language to a string. It can be labels, descriptions and others."""
def fromJSON(cls, data, repo=None):
"""Construct a new LanguageDict from JSON."""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LanguageDict:
"""A structure holding language data for a Wikibase entity. Language data are mappings from a language to a string. It can be labels, descriptions and others."""
def fromJSON(cls, data, repo=None):
"""Construct a new LanguageDict from JSON."""
if data != []:
retu... | the_stack_v2_python_sparse | pywikibot/page/_collections.py | wikimedia/pywikibot | train | 432 |
1624ecff9683ececb1823d0a95a379d234c66d99 | [
"try:\n info = ParamFormat(Request()).get_search_params()\n function_info = Func.get_list(**info)\n return self.succeed('查询成功', {'app_list': function_info.get('list'), 'page_info': function_info.get('page_info')})\nexcept ValueError as e:\n return self.error_400(str(e))\nexcept BaseException as e:\n ... | <|body_start_0|>
try:
info = ParamFormat(Request()).get_search_params()
function_info = Func.get_list(**info)
return self.succeed('查询成功', {'app_list': function_info.get('list'), 'page_info': function_info.get('page_info')})
except ValueError as e:
return s... | FunctionList | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FunctionList:
def get(self):
""":return:"""
<|body_0|>
def post(self):
""":return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
info = ParamFormat(Request()).get_search_params()
function_info = Func.get_list(**info)
... | stack_v2_sparse_classes_75kplus_train_009323 | 2,971 | permissive | [
{
"docstring": ":return:",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": ":return:",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `FunctionList` described below.
Class description:
Implement the FunctionList class.
Method signatures and docstrings:
- def get(self): :return:
- def post(self): :return: | Implement the Python class `FunctionList` described below.
Class description:
Implement the FunctionList class.
Method signatures and docstrings:
- def get(self): :return:
- def post(self): :return:
<|skeleton|>
class FunctionList:
def get(self):
""":return:"""
<|body_0|>
def post(self):
... | 3252f47e6b3fca170b57819f8fdbdeb0f868654e | <|skeleton|>
class FunctionList:
def get(self):
""":return:"""
<|body_0|>
def post(self):
""":return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FunctionList:
def get(self):
""":return:"""
try:
info = ParamFormat(Request()).get_search_params()
function_info = Func.get_list(**info)
return self.succeed('查询成功', {'app_list': function_info.get('list'), 'page_info': function_info.get('page_info')})
... | the_stack_v2_python_sparse | apps/controllers/v1/function.py | BruceWW/flask-basic | train | 1 | |
29666ceeb7ad8b049896dac71ecf612edb5778d0 | [
"data = db.Db()\nresult = data.getCartridgesByState(state_id)\nresp.status = falcon.HTTP_200\nresp.content_type = falcon.MEDIA_TEXT\nresp.text = result",
"param = req.media\naction = int(param['action'])\ndata = db.Db()\nif action == 0:\n result = data.changeCartridgeState(param)\n resp.status = falcon.HTTP... | <|body_start_0|>
data = db.Db()
result = data.getCartridgesByState(state_id)
resp.status = falcon.HTTP_200
resp.content_type = falcon.MEDIA_TEXT
resp.text = result
<|end_body_0|>
<|body_start_1|>
param = req.media
action = int(param['action'])
data = db.D... | CartridgeState | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CartridgeState:
def on_get(self, req, resp, state_id):
"""handle get request"""
<|body_0|>
def on_post(self, req, resp):
"""handle post"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
data = db.Db()
result = data.getCartridgesByState(state_i... | stack_v2_sparse_classes_75kplus_train_009324 | 850 | no_license | [
{
"docstring": "handle get request",
"name": "on_get",
"signature": "def on_get(self, req, resp, state_id)"
},
{
"docstring": "handle post",
"name": "on_post",
"signature": "def on_post(self, req, resp)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015018 | Implement the Python class `CartridgeState` described below.
Class description:
Implement the CartridgeState class.
Method signatures and docstrings:
- def on_get(self, req, resp, state_id): handle get request
- def on_post(self, req, resp): handle post | Implement the Python class `CartridgeState` described below.
Class description:
Implement the CartridgeState class.
Method signatures and docstrings:
- def on_get(self, req, resp, state_id): handle get request
- def on_post(self, req, resp): handle post
<|skeleton|>
class CartridgeState:
def on_get(self, req, r... | 529e9a0c66a6c7021224a2daf60f378f01164ca5 | <|skeleton|>
class CartridgeState:
def on_get(self, req, resp, state_id):
"""handle get request"""
<|body_0|>
def on_post(self, req, resp):
"""handle post"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CartridgeState:
def on_get(self, req, resp, state_id):
"""handle get request"""
data = db.Db()
result = data.getCartridgesByState(state_id)
resp.status = falcon.HTTP_200
resp.content_type = falcon.MEDIA_TEXT
resp.text = result
def on_post(self, req, resp):
... | the_stack_v2_python_sparse | answers/cartridge_state.py | Logsod/noti_rest_server | train | 0 | |
1e5418371050193189726d6653a01c532e592ea0 | [
"if len(string1) == len(string2):\n string1 = sorted(string1)\n string2 = sorted(string2)\n return string1 == string2\nelse:\n return False",
"string1 = string1.replace(' ', '')\nstring2 = string2.replace(' ', '')\nif len(string1) != len(string2):\n return False\nelse:\n lettersDict: Dict[str, s... | <|body_start_0|>
if len(string1) == len(string2):
string1 = sorted(string1)
string2 = sorted(string2)
return string1 == string2
else:
return False
<|end_body_0|>
<|body_start_1|>
string1 = string1.replace(' ', '')
string2 = string2.replace... | AnagramSolutions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnagramSolutions:
def anagrams_with_sort(self, string1: str, string2: str) -> bool:
"""This function will determine if two strings are anagrams of one another by sorting them and seeing if they form the same string Args: string1 (str) string2 (str) Returns: valid (bool): Will return True... | stack_v2_sparse_classes_75kplus_train_009325 | 2,633 | permissive | [
{
"docstring": "This function will determine if two strings are anagrams of one another by sorting them and seeing if they form the same string Args: string1 (str) string2 (str) Returns: valid (bool): Will return True if the strings are anagram, False otherwise",
"name": "anagrams_with_sort",
"signature... | 2 | stack_v2_sparse_classes_30k_train_017414 | Implement the Python class `AnagramSolutions` described below.
Class description:
Implement the AnagramSolutions class.
Method signatures and docstrings:
- def anagrams_with_sort(self, string1: str, string2: str) -> bool: This function will determine if two strings are anagrams of one another by sorting them and seei... | Implement the Python class `AnagramSolutions` described below.
Class description:
Implement the AnagramSolutions class.
Method signatures and docstrings:
- def anagrams_with_sort(self, string1: str, string2: str) -> bool: This function will determine if two strings are anagrams of one another by sorting them and seei... | b21386e54a49d03c74f27eee9818b6d2a715371d | <|skeleton|>
class AnagramSolutions:
def anagrams_with_sort(self, string1: str, string2: str) -> bool:
"""This function will determine if two strings are anagrams of one another by sorting them and seeing if they form the same string Args: string1 (str) string2 (str) Returns: valid (bool): Will return True... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AnagramSolutions:
def anagrams_with_sort(self, string1: str, string2: str) -> bool:
"""This function will determine if two strings are anagrams of one another by sorting them and seeing if they form the same string Args: string1 (str) string2 (str) Returns: valid (bool): Will return True if the string... | the_stack_v2_python_sparse | python/string algorithms/anagrams.py | SoumyaMalgonde/AlgoBook | train | 3 | |
6163f0a1adb85a9fe56b50b3065461837c654ae9 | [
"if device in cls.warned_devices:\n return\ncls.warned_devices.add(device)\nif fstype is None:\n logger.warning(f'Failed to determine filesystem type for {path} (device id: {device}). Using soft file locks to avoid potential data corruption.')\n return\nlogger.warning(f'The lock file {path} is on a filesys... | <|body_start_0|>
if device in cls.warned_devices:
return
cls.warned_devices.add(device)
if fstype is None:
logger.warning(f'Failed to determine filesystem type for {path} (device id: {device}). Using soft file locks to avoid potential data corruption.')
return... | This class is used to inspect the file system state and determine if the file being created can use `fcntl` / `flock` or should use soft file locks. This can be achieved by finding the device owning the parent directory and mapping it to the partition and finally checking the filesystem type. We prefer using soft file ... | FileSystemInspector | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileSystemInspector:
"""This class is used to inspect the file system state and determine if the file being created can use `fcntl` / `flock` or should use soft file locks. This can be achieved by finding the device owning the parent directory and mapping it to the partition and finally checking ... | stack_v2_sparse_classes_75kplus_train_009326 | 7,858 | permissive | [
{
"docstring": "Warn only once per device. This is used to avoid spamming the logs with the same message.",
"name": "_warn_only_once",
"signature": "def _warn_only_once(cls, path: str, device: int, fstype: Optional[str]) -> None"
},
{
"docstring": "Returns a mapping of device numbers to filesyst... | 4 | stack_v2_sparse_classes_30k_train_011391 | Implement the Python class `FileSystemInspector` described below.
Class description:
This class is used to inspect the file system state and determine if the file being created can use `fcntl` / `flock` or should use soft file locks. This can be achieved by finding the device owning the parent directory and mapping it... | Implement the Python class `FileSystemInspector` described below.
Class description:
This class is used to inspect the file system state and determine if the file being created can use `fcntl` / `flock` or should use soft file locks. This can be achieved by finding the device owning the parent directory and mapping it... | 34e5c2c29abe9b26699760074adcadfe8fd4cfe0 | <|skeleton|>
class FileSystemInspector:
"""This class is used to inspect the file system state and determine if the file being created can use `fcntl` / `flock` or should use soft file locks. This can be achieved by finding the device owning the parent directory and mapping it to the partition and finally checking ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FileSystemInspector:
"""This class is used to inspect the file system state and determine if the file being created can use `fcntl` / `flock` or should use soft file locks. This can be achieved by finding the device owning the parent directory and mapping it to the partition and finally checking the filesyste... | the_stack_v2_python_sparse | src/python/aim/_core/storage/locking.py | aimhubio/aim | train | 4,091 |
70e36e25eb8e125be4492ba3a92d1812ecd030c2 | [
"Process.__init__(self)\nself.conf = conf\nself._cmp_tree_path = _cmp_tree_path\nself.cmp_model_fpath = cmp_model_fpath\nself.full_list_fpath = full_list_fpath\nself.logger = logging.getLogger('CMPComposition')",
"with open('%s_cmp.hed' % self.conf.TYPE_HED_UNSEEN_BASE, 'w') as f:\n f.write('\\nTR 2\\n\\n')\n ... | <|body_start_0|>
Process.__init__(self)
self.conf = conf
self._cmp_tree_path = _cmp_tree_path
self.cmp_model_fpath = cmp_model_fpath
self.full_list_fpath = full_list_fpath
self.logger = logging.getLogger('CMPComposition')
<|end_body_0|>
<|body_start_1|>
with open... | Class to generate the CMP models based on a given set of labels, the trained models and decision trees. This class is a process to be able to be run in parallel. | CMPComposition | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CMPComposition:
"""Class to generate the CMP models based on a given set of labels, the trained models and decision trees. This class is a process to be able to be run in parallel."""
def __init__(self, conf, _cmp_tree_path, cmp_model_fpath, full_list_fpath):
"""Constructor :param co... | stack_v2_sparse_classes_75kplus_train_009327 | 7,028 | no_license | [
{
"docstring": "Constructor :param conf: the configuration object :param _cmp_tree_path: the path of the decision tree file :param cmp_model_fpath: the path of the model file :param full_list_fpath: the path of the file containing the list of needed labels :returns: None :rtype:",
"name": "__init__",
"s... | 3 | stack_v2_sparse_classes_30k_train_037806 | Implement the Python class `CMPComposition` described below.
Class description:
Class to generate the CMP models based on a given set of labels, the trained models and decision trees. This class is a process to be able to be run in parallel.
Method signatures and docstrings:
- def __init__(self, conf, _cmp_tree_path,... | Implement the Python class `CMPComposition` described below.
Class description:
Class to generate the CMP models based on a given set of labels, the trained models and decision trees. This class is a process to be able to be run in parallel.
Method signatures and docstrings:
- def __init__(self, conf, _cmp_tree_path,... | c537a391f4547fcc48aa34ca7ddd949c3ebdc441 | <|skeleton|>
class CMPComposition:
"""Class to generate the CMP models based on a given set of labels, the trained models and decision trees. This class is a process to be able to be run in parallel."""
def __init__(self, conf, _cmp_tree_path, cmp_model_fpath, full_list_fpath):
"""Constructor :param co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CMPComposition:
"""Class to generate the CMP models based on a given set of labels, the trained models and decision trees. This class is a process to be able to be run in parallel."""
def __init__(self, conf, _cmp_tree_path, cmp_model_fpath, full_list_fpath):
"""Constructor :param conf: the confi... | the_stack_v2_python_sparse | generation/utils/composition.py | seblemaguer/pyhts | train | 1 |
f6a61012d2a48f4d44b181835af9d5ae68a428e8 | [
"if not root:\n return\nif key >= root.data:\n if not root.right:\n root.right = Node(key)\n else:\n self.insert(root.right, key)\nelif not root.left:\n root.left = Node(key)\nelse:\n self.insert(root.left, key)",
"if not root:\n return\nif key > root.data:\n self.find(root.righ... | <|body_start_0|>
if not root:
return
if key >= root.data:
if not root.right:
root.right = Node(key)
else:
self.insert(root.right, key)
elif not root.left:
root.left = Node(key)
else:
self.insert(r... | 二叉平衡搜索树，左节点<根节点，右节点>根节点 | BinarySearchTree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinarySearchTree:
"""二叉平衡搜索树，左节点<根节点，右节点>根节点"""
def insert(self, root: Node, key):
"""插入数据"""
<|body_0|>
def find(self, root: Node, key):
"""在以 root 为根节点的树上查找 key"""
<|body_1|>
def get_min(self, root: Node) -> Optional[Node]:
"""查找以 root 为根节点... | stack_v2_sparse_classes_75kplus_train_009328 | 2,289 | no_license | [
{
"docstring": "插入数据",
"name": "insert",
"signature": "def insert(self, root: Node, key)"
},
{
"docstring": "在以 root 为根节点的树上查找 key",
"name": "find",
"signature": "def find(self, root: Node, key)"
},
{
"docstring": "查找以 root 为根节点的树上的最小节点",
"name": "get_min",
"signature": "... | 4 | null | Implement the Python class `BinarySearchTree` described below.
Class description:
二叉平衡搜索树，左节点<根节点，右节点>根节点
Method signatures and docstrings:
- def insert(self, root: Node, key): 插入数据
- def find(self, root: Node, key): 在以 root 为根节点的树上查找 key
- def get_min(self, root: Node) -> Optional[Node]: 查找以 root 为根节点的树上的最小节点
- def ... | Implement the Python class `BinarySearchTree` described below.
Class description:
二叉平衡搜索树，左节点<根节点，右节点>根节点
Method signatures and docstrings:
- def insert(self, root: Node, key): 插入数据
- def find(self, root: Node, key): 在以 root 为根节点的树上查找 key
- def get_min(self, root: Node) -> Optional[Node]: 查找以 root 为根节点的树上的最小节点
- def ... | 332b75948745d66d1a74253033444a2c63fb8e51 | <|skeleton|>
class BinarySearchTree:
"""二叉平衡搜索树，左节点<根节点，右节点>根节点"""
def insert(self, root: Node, key):
"""插入数据"""
<|body_0|>
def find(self, root: Node, key):
"""在以 root 为根节点的树上查找 key"""
<|body_1|>
def get_min(self, root: Node) -> Optional[Node]:
"""查找以 root 为根节点... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BinarySearchTree:
"""二叉平衡搜索树，左节点<根节点，右节点>根节点"""
def insert(self, root: Node, key):
"""插入数据"""
if not root:
return
if key >= root.data:
if not root.right:
root.right = Node(key)
else:
self.insert(root.right, key)
... | the_stack_v2_python_sparse | algorithm_demo/binary_search_tree_demo.py | linkcheng/python_demo | train | 2 |
05aeeacedf29184406bee077e06ddd43215b6ff4 | [
"self._device_queue = device_queue\nself._device_cache = device_cache\nself._entity_cache = entity_cache\nself._plugins = plugins\nself._exclude_known_noisy_beacons = exclude_known_noisy_beacons\nself._blacklist = blacklist",
"new_entity = device_to_entity(device, data)\nif self._exclude_known_noisy_beacons and s... | <|body_start_0|>
self._device_queue = device_queue
self._device_cache = device_cache
self._entity_cache = entity_cache
self._plugins = plugins
self._exclude_known_noisy_beacons = exclude_known_noisy_beacons
self._blacklist = blacklist
<|end_body_0|>
<|body_start_1|>
... | Event handler for BLE devices. | EventHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventHandler:
"""Event handler for BLE devices."""
def __init__(self, device_queue: Queue, device_cache: DeviceCache, entity_cache: EntityCache, plugins: Collection[BaseBluetoothPlugin], exclude_known_noisy_beacons: bool, blacklist: DevicesBlacklist):
""":param device_queue: Queue us... | stack_v2_sparse_classes_75kplus_train_009329 | 7,916 | permissive | [
{
"docstring": ":param device_queue: Queue used to publish updated devices upstream. :param device_cache: Device cache. :param entity_cache: Entity cache. :param exclude_known_noisy_beacons: Exclude known noisy beacons. :param blacklist: Blacklist rules.",
"name": "__init__",
"signature": "def __init__(... | 3 | stack_v2_sparse_classes_30k_train_000874 | Implement the Python class `EventHandler` described below.
Class description:
Event handler for BLE devices.
Method signatures and docstrings:
- def __init__(self, device_queue: Queue, device_cache: DeviceCache, entity_cache: EntityCache, plugins: Collection[BaseBluetoothPlugin], exclude_known_noisy_beacons: bool, bl... | Implement the Python class `EventHandler` described below.
Class description:
Event handler for BLE devices.
Method signatures and docstrings:
- def __init__(self, device_queue: Queue, device_cache: DeviceCache, entity_cache: EntityCache, plugins: Collection[BaseBluetoothPlugin], exclude_known_noisy_beacons: bool, bl... | 446bc2f67493d3554c5422242ff91d5b5c76d78a | <|skeleton|>
class EventHandler:
"""Event handler for BLE devices."""
def __init__(self, device_queue: Queue, device_cache: DeviceCache, entity_cache: EntityCache, plugins: Collection[BaseBluetoothPlugin], exclude_known_noisy_beacons: bool, blacklist: DevicesBlacklist):
""":param device_queue: Queue us... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EventHandler:
"""Event handler for BLE devices."""
def __init__(self, device_queue: Queue, device_cache: DeviceCache, entity_cache: EntityCache, plugins: Collection[BaseBluetoothPlugin], exclude_known_noisy_beacons: bool, blacklist: DevicesBlacklist):
""":param device_queue: Queue used to publish... | the_stack_v2_python_sparse | platypush/plugins/bluetooth/_ble/_event_handler.py | BlackLight/platypush | train | 265 |
08f6dd9663ac53dc4e6431ba1f41d75c80c4d746 | [
"if bamFile == None or bamFile.sam == True:\n self.convertToBam(bamFile)\nif bamFile.sorted == True:\n return\noutputFile = bamFile.getNewFileName()\ncmd = bamFile.pool.config.getProgramPath('samtools') + ' sort -o ' + bamFile.getFile() + ' ' + outputFile + ' > ' + outputFile\nself.execute(cmd, 'samtools sort... | <|body_start_0|>
if bamFile == None or bamFile.sam == True:
self.convertToBam(bamFile)
if bamFile.sorted == True:
return
outputFile = bamFile.getNewFileName()
cmd = bamFile.pool.config.getProgramPath('samtools') + ' sort -o ' + bamFile.getFile() + ' ' + outputFile... | The class ConvertionTools regulates the support between the mappers and the programs for SV calling. | ConversionTools | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConversionTools:
"""The class ConvertionTools regulates the support between the mappers and the programs for SV calling."""
def sortBam(self, bamFile):
"""The method sortBam sorts a bam file of a given sample. The bam file can only be sorted when this is a bam file. If it is not a ba... | stack_v2_sparse_classes_75kplus_train_009330 | 5,550 | no_license | [
{
"docstring": "The method sortBam sorts a bam file of a given sample. The bam file can only be sorted when this is a bam file. If it is not a bam file, the file first will be converted to a bam file. :param sample: The sample which contains the bam file to be sorted :type sample: an instance of a Sample object... | 6 | stack_v2_sparse_classes_30k_train_006691 | Implement the Python class `ConversionTools` described below.
Class description:
The class ConvertionTools regulates the support between the mappers and the programs for SV calling.
Method signatures and docstrings:
- def sortBam(self, bamFile): The method sortBam sorts a bam file of a given sample. The bam file can ... | Implement the Python class `ConversionTools` described below.
Class description:
The class ConvertionTools regulates the support between the mappers and the programs for SV calling.
Method signatures and docstrings:
- def sortBam(self, bamFile): The method sortBam sorts a bam file of a given sample. The bam file can ... | 2543f2bdb61fb07e2ee8ab76ffc930c13f0a4dbb | <|skeleton|>
class ConversionTools:
"""The class ConvertionTools regulates the support between the mappers and the programs for SV calling."""
def sortBam(self, bamFile):
"""The method sortBam sorts a bam file of a given sample. The bam file can only be sorted when this is a bam file. If it is not a ba... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConversionTools:
"""The class ConvertionTools regulates the support between the mappers and the programs for SV calling."""
def sortBam(self, bamFile):
"""The method sortBam sorts a bam file of a given sample. The bam file can only be sorted when this is a bam file. If it is not a bam file, the f... | the_stack_v2_python_sparse | pythonCodeBase/src/programs/ConversionTools.py | VLPB/VLPB | train | 0 |
788c127268c4562d6d9257ac38ba6b7d686250a9 | [
"if context is None:\n context = {}\nbody = render_to_string(tpl, context)\nsuper(EmailMessage, self).__init__(subject, body, from_email=from_email)",
"if to and isinstance(to, (tuple, list)):\n self.to = list(to)\nif bcc and isinstance(bcc, (tuple, list)):\n self.bcc = list(to)\nif cc and isinstance(cc,... | <|body_start_0|>
if context is None:
context = {}
body = render_to_string(tpl, context)
super(EmailMessage, self).__init__(subject, body, from_email=from_email)
<|end_body_0|>
<|body_start_1|>
if to and isinstance(to, (tuple, list)):
self.to = list(to)
if... | Template-based email message. | EmailMessage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailMessage:
"""Template-based email message."""
def __init__(self, subject, tpl, context=None, from_email=None):
"""Initialize a email message instance. :param subject: Subject (str) :param tpl: Template file path (str) :param context: Template context (dict or None) :param from_em... | stack_v2_sparse_classes_75kplus_train_009331 | 2,671 | permissive | [
{
"docstring": "Initialize a email message instance. :param subject: Subject (str) :param tpl: Template file path (str) :param context: Template context (dict or None) :param from_email: Email origin (str or None)",
"name": "__init__",
"signature": "def __init__(self, subject, tpl, context=None, from_em... | 2 | stack_v2_sparse_classes_30k_train_032894 | Implement the Python class `EmailMessage` described below.
Class description:
Template-based email message.
Method signatures and docstrings:
- def __init__(self, subject, tpl, context=None, from_email=None): Initialize a email message instance. :param subject: Subject (str) :param tpl: Template file path (str) :para... | Implement the Python class `EmailMessage` described below.
Class description:
Template-based email message.
Method signatures and docstrings:
- def __init__(self, subject, tpl, context=None, from_email=None): Initialize a email message instance. :param subject: Subject (str) :param tpl: Template file path (str) :para... | 8f4a3d3d07a1f80b7225a415cea30dfc65a38bf1 | <|skeleton|>
class EmailMessage:
"""Template-based email message."""
def __init__(self, subject, tpl, context=None, from_email=None):
"""Initialize a email message instance. :param subject: Subject (str) :param tpl: Template file path (str) :param context: Template context (dict or None) :param from_em... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailMessage:
"""Template-based email message."""
def __init__(self, subject, tpl, context=None, from_email=None):
"""Initialize a email message instance. :param subject: Subject (str) :param tpl: Template file path (str) :param context: Template context (dict or None) :param from_email: Email or... | the_stack_v2_python_sparse | ydns/utils/mail.py | nocnokneo/ydns | train | 0 |
8ebbd73431e72e56461f59a566870a7c621bce95 | [
"super(Unet, self).__init__()\nfeatures = init_features\nself.encoder1 = self._block(in_channels, features)\nself.pool1 = MaxPool2d(kernel_size=2, stride=2)\nself.encoder2 = self._block(features, features * 2)\nself.pool2 = MaxPool2d(kernel_size=2, stride=2)\nself.encoder3 = self._block(features * 2, features * 4)\... | <|body_start_0|>
super(Unet, self).__init__()
features = init_features
self.encoder1 = self._block(in_channels, features)
self.pool1 = MaxPool2d(kernel_size=2, stride=2)
self.encoder2 = self._block(features, features * 2)
self.pool2 = MaxPool2d(kernel_size=2, stride=2)
... | Create ResNet SearchSpace. | Unet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Unet:
"""Create ResNet SearchSpace."""
def __init__(self, in_channels=3, out_channels=1, init_features=32):
"""Create layers. :param in_channels: in channel :type in_channels: int :param out_channels: out_channels :type out_channels: int :param init_features: features :type init_feat... | stack_v2_sparse_classes_75kplus_train_009332 | 3,918 | permissive | [
{
"docstring": "Create layers. :param in_channels: in channel :type in_channels: int :param out_channels: out_channels :type out_channels: int :param init_features: features :type init_features: int",
"name": "__init__",
"signature": "def __init__(self, in_channels=3, out_channels=1, init_features=32)"
... | 3 | stack_v2_sparse_classes_30k_train_001572 | Implement the Python class `Unet` described below.
Class description:
Create ResNet SearchSpace.
Method signatures and docstrings:
- def __init__(self, in_channels=3, out_channels=1, init_features=32): Create layers. :param in_channels: in channel :type in_channels: int :param out_channels: out_channels :type out_cha... | Implement the Python class `Unet` described below.
Class description:
Create ResNet SearchSpace.
Method signatures and docstrings:
- def __init__(self, in_channels=3, out_channels=1, init_features=32): Create layers. :param in_channels: in channel :type in_channels: int :param out_channels: out_channels :type out_cha... | 52b53582fe7df95d7aacc8425013fd18645d079f | <|skeleton|>
class Unet:
"""Create ResNet SearchSpace."""
def __init__(self, in_channels=3, out_channels=1, init_features=32):
"""Create layers. :param in_channels: in channel :type in_channels: int :param out_channels: out_channels :type out_channels: int :param init_features: features :type init_feat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Unet:
"""Create ResNet SearchSpace."""
def __init__(self, in_channels=3, out_channels=1, init_features=32):
"""Create layers. :param in_channels: in channel :type in_channels: int :param out_channels: out_channels :type out_channels: int :param init_features: features :type init_features: int"""
... | the_stack_v2_python_sparse | vega/networks/unet.py | yiziqi/vega | train | 0 |
4f38f6bb13d11c9d185e13a4eb6602637ad00205 | [
"confusion_matrix = metrics.confusion_matrix(test_labels, labels).astype(np.float32)\nconfusion_matrix = confusion_matrix / confusion_matrix.sum(axis=1)[:, np.newaxis]\ndf_cm = pd.DataFrame(confusion_matrix, index=class_names, columns=class_names)\nplt.figure(figsize=(10, 7))\nsns.heatmap(df_cm, annot=True)\nplt.yl... | <|body_start_0|>
confusion_matrix = metrics.confusion_matrix(test_labels, labels).astype(np.float32)
confusion_matrix = confusion_matrix / confusion_matrix.sum(axis=1)[:, np.newaxis]
df_cm = pd.DataFrame(confusion_matrix, index=class_names, columns=class_names)
plt.figure(figsize=(10, 7)... | Visualisation helper for the classifiers. Contains functionality for plotting a confusion matrix from predicted and true labels, and a method for visualising the incorrect classifications. | ClassificationVisualiser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassificationVisualiser:
"""Visualisation helper for the classifiers. Contains functionality for plotting a confusion matrix from predicted and true labels, and a method for visualising the incorrect classifications."""
def plot_confusion_matrix(self, labels, test_labels, class_names, title... | stack_v2_sparse_classes_75kplus_train_009333 | 3,314 | no_license | [
{
"docstring": "Plots a confusion matrix for the given labels. Parameters ---------- labels : array-like Predicted labels from the classifier. test_labels : array-like Ground truth labels. class_names : array-like The names of the classes in the data. title : str Title of the plot and name of the file.",
"n... | 2 | stack_v2_sparse_classes_30k_train_014070 | Implement the Python class `ClassificationVisualiser` described below.
Class description:
Visualisation helper for the classifiers. Contains functionality for plotting a confusion matrix from predicted and true labels, and a method for visualising the incorrect classifications.
Method signatures and docstrings:
- def... | Implement the Python class `ClassificationVisualiser` described below.
Class description:
Visualisation helper for the classifiers. Contains functionality for plotting a confusion matrix from predicted and true labels, and a method for visualising the incorrect classifications.
Method signatures and docstrings:
- def... | 0e95ca353335acdb2f9e15958c59a1074d705441 | <|skeleton|>
class ClassificationVisualiser:
"""Visualisation helper for the classifiers. Contains functionality for plotting a confusion matrix from predicted and true labels, and a method for visualising the incorrect classifications."""
def plot_confusion_matrix(self, labels, test_labels, class_names, title... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClassificationVisualiser:
"""Visualisation helper for the classifiers. Contains functionality for plotting a confusion matrix from predicted and true labels, and a method for visualising the incorrect classifications."""
def plot_confusion_matrix(self, labels, test_labels, class_names, title):
""... | the_stack_v2_python_sparse | action_recognition/classifiers/classification_visualiser.py | CamiloAguilar/openpose-tda-action-recognition | train | 0 |
b7d8de726930c839831a25cec79986f0d595a689 | [
"if d_ij is None:\n d_ij = np.empty(0)\nif C_ij is None:\n C_ij = np.empty(0)\nind = np.argsort(d_ij)\nself.d_ij = d_ij[ind]\nself.C_ij = C_ij[ind]",
"d_ij = np.hstack((self.d_ij, correlation.d_ij))\nC_ij = np.hstack((self.C_ij, correlation.C_ij))\nind = np.argsort(d_ij)\nself.d_ij = d[ind]\nself.C_ij = C_i... | <|body_start_0|>
if d_ij is None:
d_ij = np.empty(0)
if C_ij is None:
C_ij = np.empty(0)
ind = np.argsort(d_ij)
self.d_ij = d_ij[ind]
self.C_ij = C_ij[ind]
<|end_body_0|>
<|body_start_1|>
d_ij = np.hstack((self.d_ij, correlation.d_ij))
C_i... | Container for correlations between 1-D timeseries. Attributes: d_ij (np array) - pairwise separation distances between measurements C_ij (np array) - normalized pairwise fluctuations between measurements | SpatialCorrelation | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpatialCorrelation:
"""Container for correlations between 1-D timeseries. Attributes: d_ij (np array) - pairwise separation distances between measurements C_ij (np array) - normalized pairwise fluctuations between measurements"""
def __init__(self, d_ij=None, C_ij=None):
"""Instantia... | stack_v2_sparse_classes_75kplus_train_009334 | 8,963 | permissive | [
{
"docstring": "Instantiate container for correlations between 1-D timeseries. Args: d_ij (np.ndarray) - pairwise separation distances C_ij (np.ndarray) - normalized pairwise fluctuations",
"name": "__init__",
"signature": "def __init__(self, d_ij=None, C_ij=None)"
},
{
"docstring": "Concatenate... | 2 | stack_v2_sparse_classes_30k_train_040596 | Implement the Python class `SpatialCorrelation` described below.
Class description:
Container for correlations between 1-D timeseries. Attributes: d_ij (np array) - pairwise separation distances between measurements C_ij (np array) - normalized pairwise fluctuations between measurements
Method signatures and docstrin... | Implement the Python class `SpatialCorrelation` described below.
Class description:
Container for correlations between 1-D timeseries. Attributes: d_ij (np array) - pairwise separation distances between measurements C_ij (np array) - normalized pairwise fluctuations between measurements
Method signatures and docstrin... | 4a622c3f5fed4456c3b9240f5a96428789fde9bd | <|skeleton|>
class SpatialCorrelation:
"""Container for correlations between 1-D timeseries. Attributes: d_ij (np array) - pairwise separation distances between measurements C_ij (np array) - normalized pairwise fluctuations between measurements"""
def __init__(self, d_ij=None, C_ij=None):
"""Instantia... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpatialCorrelation:
"""Container for correlations between 1-D timeseries. Attributes: d_ij (np array) - pairwise separation distances between measurements C_ij (np array) - normalized pairwise fluctuations between measurements"""
def __init__(self, d_ij=None, C_ij=None):
"""Instantiate container ... | the_stack_v2_python_sparse | flyqma/annotation/spatial/correlation.py | sbernasek/flyqma | train | 1 |
ba2e6254bf560d2d9a1c38f9237a0e26b096551f | [
"ugrid_filename = os.path.join(PKG_PATH, 'converters', 'aflr', 'ugrid', 'models', 'two_blade_wake_sym_extended.surf')\nlog = SimpleLogger(level='warning')\ntest = SurfGui()\ntest.log = log\ntest.on_load_geometry(ugrid_filename, geometry_format='surf', raise_error=True)",
"log = SimpleLogger(level='error')\nMODEL_... | <|body_start_0|>
ugrid_filename = os.path.join(PKG_PATH, 'converters', 'aflr', 'ugrid', 'models', 'two_blade_wake_sym_extended.surf')
log = SimpleLogger(level='warning')
test = SurfGui()
test.log = log
test.on_load_geometry(ugrid_filename, geometry_format='surf', raise_error=True... | defines *.surf tests | TestSurfGui | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSurfGui:
"""defines *.surf tests"""
def test_surf_gui_01(self):
"""tests two_blade_wake_sym_extended.surf"""
<|body_0|>
def test_surf_01(self):
"""tests two_blade_wake_sym_extended.surf"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ugrid_f... | stack_v2_sparse_classes_75kplus_train_009335 | 4,370 | no_license | [
{
"docstring": "tests two_blade_wake_sym_extended.surf",
"name": "test_surf_gui_01",
"signature": "def test_surf_gui_01(self)"
},
{
"docstring": "tests two_blade_wake_sym_extended.surf",
"name": "test_surf_01",
"signature": "def test_surf_01(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_041199 | Implement the Python class `TestSurfGui` described below.
Class description:
defines *.surf tests
Method signatures and docstrings:
- def test_surf_gui_01(self): tests two_blade_wake_sym_extended.surf
- def test_surf_01(self): tests two_blade_wake_sym_extended.surf | Implement the Python class `TestSurfGui` described below.
Class description:
defines *.surf tests
Method signatures and docstrings:
- def test_surf_gui_01(self): tests two_blade_wake_sym_extended.surf
- def test_surf_01(self): tests two_blade_wake_sym_extended.surf
<|skeleton|>
class TestSurfGui:
"""defines *.su... | cc596e637b53cf0a997f92e0e09f43222960052c | <|skeleton|>
class TestSurfGui:
"""defines *.surf tests"""
def test_surf_gui_01(self):
"""tests two_blade_wake_sym_extended.surf"""
<|body_0|>
def test_surf_01(self):
"""tests two_blade_wake_sym_extended.surf"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestSurfGui:
"""defines *.surf tests"""
def test_surf_gui_01(self):
"""tests two_blade_wake_sym_extended.surf"""
ugrid_filename = os.path.join(PKG_PATH, 'converters', 'aflr', 'ugrid', 'models', 'two_blade_wake_sym_extended.surf')
log = SimpleLogger(level='warning')
test = ... | the_stack_v2_python_sparse | pyNastran/converters/aflr/surf/test_surf_gui.py | lnderuiter/pyNastran | train | 0 |
cc8599f951de065a6c9857673beb5ff8aba11142 | [
"profile.addListsToCraftTypeRepository('skeinforge_tools.craft_plugins.inset.html', self)\nself.fileNameInput = settings.FileNameInput().getFromFileName(interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Inset', self, '')\nself.openWikiManualHelpPage = settings.HelpPage().getOpenFromAbsolute('http://ww... | <|body_start_0|>
profile.addListsToCraftTypeRepository('skeinforge_tools.craft_plugins.inset.html', self)
self.fileNameInput = settings.FileNameInput().getFromFileName(interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Inset', self, '')
self.openWikiManualHelpPage = settings.HelpPag... | A class to handle the inset settings. | InsetRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InsetRepository:
"""A class to handle the inset settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Inset button has been clicked."""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_009336 | 19,617 | no_license | [
{
"docstring": "Set the default settings, execute title & settings fileName.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inset button has been clicked.",
"name": "execute",
"signature": "def execute(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012504 | Implement the Python class `InsetRepository` described below.
Class description:
A class to handle the inset settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Inset button has been clicked. | Implement the Python class `InsetRepository` described below.
Class description:
A class to handle the inset settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Inset button has been clicked.
<|skeleton|>
class InsetRepos... | fd69d8e856780c826386dc973ceabcc03623f3e8 | <|skeleton|>
class InsetRepository:
"""A class to handle the inset settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Inset button has been clicked."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InsetRepository:
"""A class to handle the inset settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
profile.addListsToCraftTypeRepository('skeinforge_tools.craft_plugins.inset.html', self)
self.fileNameInput = settings.FileNameInput(... | the_stack_v2_python_sparse | skeinforge_tools/craft_plugins/inset.py | bmander/skeinforge | train | 34 |
c1fe0fbecbd57674395e65d4d7995f70476caa72 | [
"self.barcode = barcode\nself.time_label = time_label\nself.frame_label = frame_label\nself.x_pos = mouse_x\nself.y_pos = mouse_y\nself.window = tkinter.Tk()\nself.window.wm_title('At this point...')\nself.window.iconbitmap(resource_path('kalmus_icon.ico'))\nstart_label = tkinter.Label(master=self.window, text='Sta... | <|body_start_0|>
self.barcode = barcode
self.time_label = time_label
self.frame_label = frame_label
self.x_pos = mouse_x
self.y_pos = mouse_y
self.window = tkinter.Tk()
self.window.wm_title('At this point...')
self.window.iconbitmap(resource_path('kalmus_i... | CalibrateBarcodeTimeWindow Class GUI window for user to recalibrate the time of a barcode | CalibrateBarcodeTimeWindow | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CalibrateBarcodeTimeWindow:
"""CalibrateBarcodeTimeWindow Class GUI window for user to recalibrate the time of a barcode"""
def __init__(self, barcode, time_label, frame_label, mouse_x, mouse_y):
"""Initialize :param barcode: The barcode to recalibrate :param time_label: the text lab... | stack_v2_sparse_classes_75kplus_train_009337 | 4,396 | permissive | [
{
"docstring": "Initialize :param barcode: The barcode to recalibrate :param time_label: the text label for time :param frame_label: the text label for the frame index :param mouse_x: the x position of the clicked point :param mouse_y: the y position of the clicked point",
"name": "__init__",
"signature... | 2 | stack_v2_sparse_classes_30k_train_038837 | Implement the Python class `CalibrateBarcodeTimeWindow` described below.
Class description:
CalibrateBarcodeTimeWindow Class GUI window for user to recalibrate the time of a barcode
Method signatures and docstrings:
- def __init__(self, barcode, time_label, frame_label, mouse_x, mouse_y): Initialize :param barcode: T... | Implement the Python class `CalibrateBarcodeTimeWindow` described below.
Class description:
CalibrateBarcodeTimeWindow Class GUI window for user to recalibrate the time of a barcode
Method signatures and docstrings:
- def __init__(self, barcode, time_label, frame_label, mouse_x, mouse_y): Initialize :param barcode: T... | fb26d51d086cc509e9394fd6da8ce8043f80cfd2 | <|skeleton|>
class CalibrateBarcodeTimeWindow:
"""CalibrateBarcodeTimeWindow Class GUI window for user to recalibrate the time of a barcode"""
def __init__(self, barcode, time_label, frame_label, mouse_x, mouse_y):
"""Initialize :param barcode: The barcode to recalibrate :param time_label: the text lab... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CalibrateBarcodeTimeWindow:
"""CalibrateBarcodeTimeWindow Class GUI window for user to recalibrate the time of a barcode"""
def __init__(self, barcode, time_label, frame_label, mouse_x, mouse_y):
"""Initialize :param barcode: The barcode to recalibrate :param time_label: the text label for time :... | the_stack_v2_python_sparse | kalmus/tkinter_windows/time_points_windows/CalibrateBarcodeTimeWindow.py | imayuyu/KALMUS | train | 0 |
16e14bb2cd78bebee833ec96484d40f93d9ece76 | [
"module_scripts = ['core_parser_app/js/builtin/checkboxes.js']\nif scripts:\n module_scripts += scripts\nmodule_styles = ['core_parser_app/css/builtin/checkboxes.css']\nif styles:\n module_styles += styles\nAbstractModule.__init__(self, scripts=module_scripts, styles=module_styles)\nif name is None:\n rais... | <|body_start_0|>
module_scripts = ['core_parser_app/js/builtin/checkboxes.js']
if scripts:
module_scripts += scripts
module_styles = ['core_parser_app/css/builtin/checkboxes.css']
if styles:
module_styles += styles
AbstractModule.__init__(self, scripts=mod... | Checkboxes module | AbstractCheckboxesModule | [
"NIST-Software",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AbstractCheckboxesModule:
"""Checkboxes module"""
def __init__(self, scripts=None, styles=None, label=None, name=None, options=None, selected=None):
"""Initialize the module Args: scripts: styles: label: name: options: selected:"""
<|body_0|>
def _create_html_checkbox(in... | stack_v2_sparse_classes_75kplus_train_009338 | 3,012 | permissive | [
{
"docstring": "Initialize the module Args: scripts: styles: label: name: options: selected:",
"name": "__init__",
"signature": "def __init__(self, scripts=None, styles=None, label=None, name=None, options=None, selected=None)"
},
{
"docstring": "Return the html of the checkboxes Args: input_key... | 3 | null | Implement the Python class `AbstractCheckboxesModule` described below.
Class description:
Checkboxes module
Method signatures and docstrings:
- def __init__(self, scripts=None, styles=None, label=None, name=None, options=None, selected=None): Initialize the module Args: scripts: styles: label: name: options: selected... | Implement the Python class `AbstractCheckboxesModule` described below.
Class description:
Checkboxes module
Method signatures and docstrings:
- def __init__(self, scripts=None, styles=None, label=None, name=None, options=None, selected=None): Initialize the module Args: scripts: styles: label: name: options: selected... | cef5e0f040c87e5fb224c59f90c314a6944e4d6b | <|skeleton|>
class AbstractCheckboxesModule:
"""Checkboxes module"""
def __init__(self, scripts=None, styles=None, label=None, name=None, options=None, selected=None):
"""Initialize the module Args: scripts: styles: label: name: options: selected:"""
<|body_0|>
def _create_html_checkbox(in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AbstractCheckboxesModule:
"""Checkboxes module"""
def __init__(self, scripts=None, styles=None, label=None, name=None, options=None, selected=None):
"""Initialize the module Args: scripts: styles: label: name: options: selected:"""
module_scripts = ['core_parser_app/js/builtin/checkboxes.... | the_stack_v2_python_sparse | core_parser_app/tools/modules/views/builtin/checkboxes_module.py | usnistgov/core_parser_app | train | 0 |
64867d083bf89ee7e67b2eadce667609eaab2f1e | [
"super(StActiveButton, self).__init__(parent)\nself.algoEngine = algoEngine\nself.spreadName = spreadName\nself.active = False\nself.setStopped()\nself.clicked.connect(self.buttonClicked)",
"if self.active:\n self.stop()\nelse:\n self.start()",
"algoActive = self.algoEngine.stopAlgo(self.spreadName)\nif n... | <|body_start_0|>
super(StActiveButton, self).__init__(parent)
self.algoEngine = algoEngine
self.spreadName = spreadName
self.active = False
self.setStopped()
self.clicked.connect(self.buttonClicked)
<|end_body_0|>
<|body_start_1|>
if self.active:
self... | StActiveButton | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StActiveButton:
def __init__(self, algoEngine, spreadName, parent=None):
"""Constructor"""
<|body_0|>
def buttonClicked(self):
"""改变运行模式"""
<|body_1|>
def stop(self):
"""停止"""
<|body_2|>
def start(self):
"""启动"""
<|bo... | stack_v2_sparse_classes_75kplus_train_009339 | 22,428 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, algoEngine, spreadName, parent=None)"
},
{
"docstring": "改变运行模式",
"name": "buttonClicked",
"signature": "def buttonClicked(self)"
},
{
"docstring": "停止",
"name": "stop",
"signature": "def s... | 6 | stack_v2_sparse_classes_30k_train_011105 | Implement the Python class `StActiveButton` described below.
Class description:
Implement the StActiveButton class.
Method signatures and docstrings:
- def __init__(self, algoEngine, spreadName, parent=None): Constructor
- def buttonClicked(self): 改变运行模式
- def stop(self): 停止
- def start(self): 启动
- def setStarted(sel... | Implement the Python class `StActiveButton` described below.
Class description:
Implement the StActiveButton class.
Method signatures and docstrings:
- def __init__(self, algoEngine, spreadName, parent=None): Constructor
- def buttonClicked(self): 改变运行模式
- def stop(self): 停止
- def start(self): 启动
- def setStarted(sel... | 75f95a00e7eb569cb7cc530ea55d6646ba4595c1 | <|skeleton|>
class StActiveButton:
def __init__(self, algoEngine, spreadName, parent=None):
"""Constructor"""
<|body_0|>
def buttonClicked(self):
"""改变运行模式"""
<|body_1|>
def stop(self):
"""停止"""
<|body_2|>
def start(self):
"""启动"""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StActiveButton:
def __init__(self, algoEngine, spreadName, parent=None):
"""Constructor"""
super(StActiveButton, self).__init__(parent)
self.algoEngine = algoEngine
self.spreadName = spreadName
self.active = False
self.setStopped()
self.clicked.connect(s... | the_stack_v2_python_sparse | vnpy/trader/app/spreadTrading/uiStWidget.py | KilimanjaroFreeman/vnpy | train | 3 | |
29fff5538d81fc2a9d182ec7ff1592062e783825 | [
"self.pendulum_mass = pendulum_mass\nself.cart_mass = cart_mass\nself.length = length\nself.rot_friction = rot_friction\nself.gravity = gravity\nsuper().__init__(func=self._ode, step_size=step_size, dim_action=(1,), dim_state=(4,))",
"bk = get_backend(state)\npendulum_mass = self.pendulum_mass\ncart_mass = self.c... | <|body_start_0|>
self.pendulum_mass = pendulum_mass
self.cart_mass = cart_mass
self.length = length
self.rot_friction = rot_friction
self.gravity = gravity
super().__init__(func=self._ode, step_size=step_size, dim_action=(1,), dim_state=(4,))
<|end_body_0|>
<|body_start_... | Cart with mounted inverted pendulum. Parameters ---------- pendulum_mass : float cart_mass : float length : float rot_friction : float, optional gravity: float, optional step_size : float, optional | CartPole | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CartPole:
"""Cart with mounted inverted pendulum. Parameters ---------- pendulum_mass : float cart_mass : float length : float rot_friction : float, optional gravity: float, optional step_size : float, optional"""
def __init__(self, pendulum_mass, cart_mass, length, rot_friction=0.0, gravity... | stack_v2_sparse_classes_75kplus_train_009340 | 2,902 | permissive | [
{
"docstring": "Initialization; see `CartPole`.",
"name": "__init__",
"signature": "def __init__(self, pendulum_mass, cart_mass, length, rot_friction=0.0, gravity=9.81, step_size=0.01)"
},
{
"docstring": "Compute the state time-derivative. Parameters ---------- state: ndarray or Tensor States. a... | 2 | stack_v2_sparse_classes_30k_train_005884 | Implement the Python class `CartPole` described below.
Class description:
Cart with mounted inverted pendulum. Parameters ---------- pendulum_mass : float cart_mass : float length : float rot_friction : float, optional gravity: float, optional step_size : float, optional
Method signatures and docstrings:
- def __init... | Implement the Python class `CartPole` described below.
Class description:
Cart with mounted inverted pendulum. Parameters ---------- pendulum_mass : float cart_mass : float length : float rot_friction : float, optional gravity: float, optional step_size : float, optional
Method signatures and docstrings:
- def __init... | c144aeecba5f35ccfb4ec943d29d7092c0fa20e3 | <|skeleton|>
class CartPole:
"""Cart with mounted inverted pendulum. Parameters ---------- pendulum_mass : float cart_mass : float length : float rot_friction : float, optional gravity: float, optional step_size : float, optional"""
def __init__(self, pendulum_mass, cart_mass, length, rot_friction=0.0, gravity... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CartPole:
"""Cart with mounted inverted pendulum. Parameters ---------- pendulum_mass : float cart_mass : float length : float rot_friction : float, optional gravity: float, optional step_size : float, optional"""
def __init__(self, pendulum_mass, cart_mass, length, rot_friction=0.0, gravity=9.81, step_s... | the_stack_v2_python_sparse | rllib/environment/systems/cart_pole.py | tzahishimkin/extended-hucrl | train | 0 |
eb34f949f2898c3a85269754eed9d2ccbd34fa2c | [
"self.db_type = db_type\nassert self.db_type in ['MAST', 'SQL'], 'Unrecognized database type: {}. Must be SQL or MAST.'.format(db_type)\nif self.db_type == 'MAST':\n self.init_MAST(instrument)\nelif self.db_type == 'SQL':\n self.init_SQL()",
"connection_string = get_config()['database']['connection_string']... | <|body_start_0|>
self.db_type = db_type
assert self.db_type in ['MAST', 'SQL'], 'Unrecognized database type: {}. Must be SQL or MAST.'.format(db_type)
if self.db_type == 'MAST':
self.init_MAST(instrument)
elif self.db_type == 'SQL':
self.init_SQL()
<|end_body_0|>
... | Facilitates connection with the ``jwql`` database. Attributes ---------- ObservationWebtest : obj Class instance in an "automap" schema corresponding to the ``observationwebtest`` database table session : obj Session with the database that enables querying | DatabaseConnection | [
"BSD-3-Clause",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatabaseConnection:
"""Facilitates connection with the ``jwql`` database. Attributes ---------- ObservationWebtest : obj Class instance in an "automap" schema corresponding to the ``observationwebtest`` database table session : obj Session with the database that enables querying"""
def __ini... | stack_v2_sparse_classes_75kplus_train_009341 | 4,400 | permissive | [
{
"docstring": "Determine what kind of database is being queried, and call appropriate initialization method",
"name": "__init__",
"signature": "def __init__(self, db_type, instrument=None)"
},
{
"docstring": "Start SQLAlchemy session with the ``jwql`` database",
"name": "init_SQL",
"sig... | 4 | null | Implement the Python class `DatabaseConnection` described below.
Class description:
Facilitates connection with the ``jwql`` database. Attributes ---------- ObservationWebtest : obj Class instance in an "automap" schema corresponding to the ``observationwebtest`` database table session : obj Session with the database ... | Implement the Python class `DatabaseConnection` described below.
Class description:
Facilitates connection with the ``jwql`` database. Attributes ---------- ObservationWebtest : obj Class instance in an "automap" schema corresponding to the ``observationwebtest`` database table session : obj Session with the database ... | 2ae74c51594925f81dde2f28b51548ffcdc257fd | <|skeleton|>
class DatabaseConnection:
"""Facilitates connection with the ``jwql`` database. Attributes ---------- ObservationWebtest : obj Class instance in an "automap" schema corresponding to the ``observationwebtest`` database table session : obj Session with the database that enables querying"""
def __ini... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DatabaseConnection:
"""Facilitates connection with the ``jwql`` database. Attributes ---------- ObservationWebtest : obj Class instance in an "automap" schema corresponding to the ``observationwebtest`` database table session : obj Session with the database that enables querying"""
def __init__(self, db_... | the_stack_v2_python_sparse | jwql/website/apps/jwql/db.py | catherine-martlin/jwql | train | 1 |
cdff29985afd8f18dc0a362b9c49cc24f08032e4 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn AutomaticRepliesSetting()",
"from .automatic_replies_status import AutomaticRepliesStatus\nfrom .date_time_time_zone import DateTimeTimeZone\nfrom .external_audience_scope import ExternalAudienceScope\nfrom .automatic_replies_status im... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return AutomaticRepliesSetting()
<|end_body_0|>
<|body_start_1|>
from .automatic_replies_status import AutomaticRepliesStatus
from .date_time_time_zone import DateTimeTimeZone
from .ext... | AutomaticRepliesSetting | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutomaticRepliesSetting:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AutomaticRepliesSetting:
"""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 creat... | stack_v2_sparse_classes_75kplus_train_009342 | 5,128 | 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: AutomaticRepliesSetting",
"name": "create_from_discriminator_value",
"signature": "def create_from_discrimin... | 3 | stack_v2_sparse_classes_30k_train_037640 | Implement the Python class `AutomaticRepliesSetting` described below.
Class description:
Implement the AutomaticRepliesSetting class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AutomaticRepliesSetting: Creates a new instance of the appropriate clas... | Implement the Python class `AutomaticRepliesSetting` described below.
Class description:
Implement the AutomaticRepliesSetting class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AutomaticRepliesSetting: Creates a new instance of the appropriate clas... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class AutomaticRepliesSetting:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AutomaticRepliesSetting:
"""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 creat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AutomaticRepliesSetting:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AutomaticRepliesSetting:
"""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 R... | the_stack_v2_python_sparse | msgraph/generated/models/automatic_replies_setting.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
0867f78d4ce33206b6ab3b792a286315e69e4051 | [
"if n < 2:\n return n\nreturn self.fib(n - 1) + self.fib(n - 2)",
"def fib_tail(n, a, b):\n if n < 2:\n return n\n if n == 2:\n return a + b\n else:\n return fib_tail(n - 1, b, a + b)\nreturn fib_tail(n, 0, 1)",
"def fibonacci(n, memo):\n if n < 2:\n return n\n if m... | <|body_start_0|>
if n < 2:
return n
return self.fib(n - 1) + self.fib(n - 2)
<|end_body_0|>
<|body_start_1|>
def fib_tail(n, a, b):
if n < 2:
return n
if n == 2:
return a + b
else:
return fib_tail(n ... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def fib(self, n: int) -> int:
"""0、1、1、2、3、5、8、13、21..."""
<|body_0|>
def fib0(self, n: int) -> int:
"""递归超时，尾递归"""
<|body_1|>
def fib1(self, n: int) -> int:
"""递归超时，记忆化递归实现(数组/哈希表)"""
<|body_2|>
def fib2(self, n: int) -> i... | stack_v2_sparse_classes_75kplus_train_009343 | 3,131 | permissive | [
{
"docstring": "0、1、1、2、3、5、8、13、21...",
"name": "fib",
"signature": "def fib(self, n: int) -> int"
},
{
"docstring": "递归超时，尾递归",
"name": "fib0",
"signature": "def fib0(self, n: int) -> int"
},
{
"docstring": "递归超时，记忆化递归实现(数组/哈希表)",
"name": "fib1",
"signature": "def fib1(... | 6 | stack_v2_sparse_classes_30k_train_009685 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fib(self, n: int) -> int: 0、1、1、2、3、5、8、13、21...
- def fib0(self, n: int) -> int: 递归超时，尾递归
- def fib1(self, n: int) -> int: 递归超时，记忆化递归实现(数组/哈希表)
- def fib2(self, n: int) -> i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fib(self, n: int) -> int: 0、1、1、2、3、5、8、13、21...
- def fib0(self, n: int) -> int: 递归超时，尾递归
- def fib1(self, n: int) -> int: 递归超时，记忆化递归实现(数组/哈希表)
- def fib2(self, n: int) -> i... | e8a1c6cae6547cbcb6e8494be6df685f3e7c837c | <|skeleton|>
class Solution:
def fib(self, n: int) -> int:
"""0、1、1、2、3、5、8、13、21..."""
<|body_0|>
def fib0(self, n: int) -> int:
"""递归超时，尾递归"""
<|body_1|>
def fib1(self, n: int) -> int:
"""递归超时，记忆化递归实现(数组/哈希表)"""
<|body_2|>
def fib2(self, n: int) -> i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def fib(self, n: int) -> int:
"""0、1、1、2、3、5、8、13、21..."""
if n < 2:
return n
return self.fib(n - 1) + self.fib(n - 2)
def fib0(self, n: int) -> int:
"""递归超时，尾递归"""
def fib_tail(n, a, b):
if n < 2:
return n
... | the_stack_v2_python_sparse | lcof/10-fei-bo-na-qi-shu-lie-lcof.py | yuenliou/leetcode | train | 0 | |
ba3e7708765ad557a2cb01cac370a5c2da1fa74b | [
"network = self.create_network(dns_domain='starwars.')\nself.setup_network_and_server(network=network, server_name='luke')\nself.create_pingable_secgroup_rule(secgroup_id=self.security_groups[-1]['id'])\nself.check_connectivity(self.fip['floating_ip_address'], CONF.validation.image_ssh_user, self.keypair['private_k... | <|body_start_0|>
network = self.create_network(dns_domain='starwars.')
self.setup_network_and_server(network=network, server_name='luke')
self.create_pingable_secgroup_rule(secgroup_id=self.security_groups[-1]['id'])
self.check_connectivity(self.fip['floating_ip_address'], CONF.validatio... | Tests internal DNS capabilities. | InternalDNSTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InternalDNSTest:
"""Tests internal DNS capabilities."""
def test_dns_domain_and_name(self):
"""Test the ability to ping a VM's hostname from another VM. 1) Create two VMs on the same network, giving each a name 2) SSH in to the first VM: 2.1) ping the other VM's internal IP 2.2) ping... | stack_v2_sparse_classes_75kplus_train_009344 | 8,441 | permissive | [
{
"docstring": "Test the ability to ping a VM's hostname from another VM. 1) Create two VMs on the same network, giving each a name 2) SSH in to the first VM: 2.1) ping the other VM's internal IP 2.2) ping the other VM's hostname",
"name": "test_dns_domain_and_name",
"signature": "def test_dns_domain_an... | 2 | stack_v2_sparse_classes_30k_train_005908 | Implement the Python class `InternalDNSTest` described below.
Class description:
Tests internal DNS capabilities.
Method signatures and docstrings:
- def test_dns_domain_and_name(self): Test the ability to ping a VM's hostname from another VM. 1) Create two VMs on the same network, giving each a name 2) SSH in to the... | Implement the Python class `InternalDNSTest` described below.
Class description:
Tests internal DNS capabilities.
Method signatures and docstrings:
- def test_dns_domain_and_name(self): Test the ability to ping a VM's hostname from another VM. 1) Create two VMs on the same network, giving each a name 2) SSH in to the... | 8f63937f01e6e662ced78a758991a0035df468b9 | <|skeleton|>
class InternalDNSTest:
"""Tests internal DNS capabilities."""
def test_dns_domain_and_name(self):
"""Test the ability to ping a VM's hostname from another VM. 1) Create two VMs on the same network, giving each a name 2) SSH in to the first VM: 2.1) ping the other VM's internal IP 2.2) ping... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InternalDNSTest:
"""Tests internal DNS capabilities."""
def test_dns_domain_and_name(self):
"""Test the ability to ping a VM's hostname from another VM. 1) Create two VMs on the same network, giving each a name 2) SSH in to the first VM: 2.1) ping the other VM's internal IP 2.2) ping the other VM... | the_stack_v2_python_sparse | neutron_tempest_plugin/scenario/test_internal_dns.py | openstack/neutron-tempest-plugin | train | 14 |
2d69df4b9212792e517bee4225f2164836a6f9b4 | [
"with self.Session() as session:\n if notification_id is not None:\n notification = session.scalars(UserNotification.select(session.user_or_token).where(UserNotification == notification_id)).first()\n if notification is None:\n return self.error(f'Cannot find UserNotification with ID: {n... | <|body_start_0|>
with self.Session() as session:
if notification_id is not None:
notification = session.scalars(UserNotification.select(session.user_or_token).where(UserNotification == notification_id)).first()
if notification is None:
return self.... | NotificationHandler | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NotificationHandler:
def get(self, notification_id=None):
"""Fetch notification(s)"""
<|body_0|>
def patch(self, notification_id):
"""Update a notification"""
<|body_1|>
def delete(self, notification_id):
"""Delete a notification"""
<|bod... | stack_v2_sparse_classes_75kplus_train_009345 | 4,496 | permissive | [
{
"docstring": "Fetch notification(s)",
"name": "get",
"signature": "def get(self, notification_id=None)"
},
{
"docstring": "Update a notification",
"name": "patch",
"signature": "def patch(self, notification_id)"
},
{
"docstring": "Delete a notification",
"name": "delete",
... | 3 | stack_v2_sparse_classes_30k_train_037862 | Implement the Python class `NotificationHandler` described below.
Class description:
Implement the NotificationHandler class.
Method signatures and docstrings:
- def get(self, notification_id=None): Fetch notification(s)
- def patch(self, notification_id): Update a notification
- def delete(self, notification_id): De... | Implement the Python class `NotificationHandler` described below.
Class description:
Implement the NotificationHandler class.
Method signatures and docstrings:
- def get(self, notification_id=None): Fetch notification(s)
- def patch(self, notification_id): Update a notification
- def delete(self, notification_id): De... | 161d3532ba3ba059446addcdac58ca96f39e9636 | <|skeleton|>
class NotificationHandler:
def get(self, notification_id=None):
"""Fetch notification(s)"""
<|body_0|>
def patch(self, notification_id):
"""Update a notification"""
<|body_1|>
def delete(self, notification_id):
"""Delete a notification"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NotificationHandler:
def get(self, notification_id=None):
"""Fetch notification(s)"""
with self.Session() as session:
if notification_id is not None:
notification = session.scalars(UserNotification.select(session.user_or_token).where(UserNotification == notification... | the_stack_v2_python_sparse | skyportal/handlers/api/internal/notifications.py | skyportal/skyportal | train | 80 | |
fd07e6d050c95e989a313342eef7c5ad2f2a6734 | [
"super(LuisNet, self).__init__()\nself.threshold = params.defm_dcsn_threshold\nif 'glove' in params.embed_types:\n print('- Using glove embeddings')\n self.word_embed_type = 'glove'\n self.defm_embed_size = params.glove_embedding_size\n self.embedding = nn.Embedding(params.glove_vocab_size, params.defm_... | <|body_start_0|>
super(LuisNet, self).__init__()
self.threshold = params.defm_dcsn_threshold
if 'glove' in params.embed_types:
print('- Using glove embeddings')
self.word_embed_type = 'glove'
self.defm_embed_size = params.glove_embedding_size
self.... | This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward function. You can use torch.nn.functional to apply functions such as F.relu,... | LuisNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LuisNet:
"""This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward function. You can use torch.nn.functional... | stack_v2_sparse_classes_75kplus_train_009346 | 14,561 | no_license | [
{
"docstring": "We define a definition model which predicts if a sentence is a definition setnence or not. - an embedding layer: maps input to word embeddings - cnn layer: convolves over words in sentences - max pool: pooling layer - bilstm: applying the Bi-LSTM on the sequential input returns an output for eac... | 2 | stack_v2_sparse_classes_30k_train_036225 | Implement the Python class `LuisNet` described below.
Class description:
This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward fu... | Implement the Python class `LuisNet` described below.
Class description:
This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward fu... | 33c704480411bccc79dfefbe1b51d0f2123ec1a8 | <|skeleton|>
class LuisNet:
"""This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward function. You can use torch.nn.functional... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LuisNet:
"""This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward function. You can use torch.nn.functional to apply fun... | the_stack_v2_python_sparse | src_def/model/net.py | FelixFra/cs224n_glossary_extraction | train | 0 |
59aaf1162e0b085cb8accbdf8eef1d6f2f11e1c5 | [
"list.sort(values, key=lambda x: x.value)\nn = len(values)\nif n == 0:\n return 0\nn_half = n // 2\nif n % 2 == 0:\n return (values[n_half - 1].value + values[n_half].value) // 2\nelse:\n return int(values[n_half].value)",
"results = QuestionResponse.query.filter_by(question_id=self.question_id, verified... | <|body_start_0|>
list.sort(values, key=lambda x: x.value)
n = len(values)
if n == 0:
return 0
n_half = n // 2
if n % 2 == 0:
return (values[n_half - 1].value + values[n_half].value) // 2
else:
return int(values[n_half].value)
<|end_body... | QuestionStatistic | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuestionStatistic:
def calculate_median(values: List[QuestionResponse]) -> float:
"""Returns the median value of all QuestionResults"""
<|body_0|>
def update(self):
"""Updates the statistics taking into account all QuestionResults of self.question that are verified."... | stack_v2_sparse_classes_75kplus_train_009347 | 3,122 | no_license | [
{
"docstring": "Returns the median value of all QuestionResults",
"name": "calculate_median",
"signature": "def calculate_median(values: List[QuestionResponse]) -> float"
},
{
"docstring": "Updates the statistics taking into account all QuestionResults of self.question that are verified.",
"... | 2 | stack_v2_sparse_classes_30k_train_009052 | Implement the Python class `QuestionStatistic` described below.
Class description:
Implement the QuestionStatistic class.
Method signatures and docstrings:
- def calculate_median(values: List[QuestionResponse]) -> float: Returns the median value of all QuestionResults
- def update(self): Updates the statistics taking... | Implement the Python class `QuestionStatistic` described below.
Class description:
Implement the QuestionStatistic class.
Method signatures and docstrings:
- def calculate_median(values: List[QuestionResponse]) -> float: Returns the median value of all QuestionResults
- def update(self): Updates the statistics taking... | e940e841a115bc7f3b9953ccb6815ae5470b29d2 | <|skeleton|>
class QuestionStatistic:
def calculate_median(values: List[QuestionResponse]) -> float:
"""Returns the median value of all QuestionResults"""
<|body_0|>
def update(self):
"""Updates the statistics taking into account all QuestionResults of self.question that are verified."... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuestionStatistic:
def calculate_median(values: List[QuestionResponse]) -> float:
"""Returns the median value of all QuestionResults"""
list.sort(values, key=lambda x: x.value)
n = len(values)
if n == 0:
return 0
n_half = n // 2
if n % 2 == 0:
... | the_stack_v2_python_sparse | backend/app/model/models/QuestionStatistic.py | yeldiRium/st3k101 | train | 1 | |
86951d6db83ab5f1900c3e52c12cae259b1c6310 | [
"super(CriticCnn, self).__init__()\nself.conv1 = nn.Conv2d(num_images, 32, 8, 4)\nself.conv2 = nn.Conv2d(32, 64, 4, 2)\nself.conv3 = nn.Conv2d(64, 64, 3)\nself.fc1 = nn.Linear(1024, 400)\nself.fc2 = nn.Linear(400 + num_actions, 300)\nself.fc3 = nn.Linear(300, 1)\nfan_in, _ = nn.init._calculate_fan_in_and_fan_out(se... | <|body_start_0|>
super(CriticCnn, self).__init__()
self.conv1 = nn.Conv2d(num_images, 32, 8, 4)
self.conv2 = nn.Conv2d(32, 64, 4, 2)
self.conv3 = nn.Conv2d(64, 64, 3)
self.fc1 = nn.Linear(1024, 400)
self.fc2 = nn.Linear(400 + num_actions, 300)
self.fc3 = nn.Linear... | Represents a Critic in the Actor to Critic Model. | CriticCnn | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CriticCnn:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, num_images, num_actions):
"""Initialise layers. Args: num_images (int) : Number of greyscale images num_actions (int) : Number of actions"""
<|body_0|>
def forward(self, obs_batch, acti... | stack_v2_sparse_classes_75kplus_train_009348 | 13,450 | no_license | [
{
"docstring": "Initialise layers. Args: num_images (int) : Number of greyscale images num_actions (int) : Number of actions",
"name": "__init__",
"signature": "def __init__(self, num_images, num_actions)"
},
{
"docstring": "Generate Q-values for the batch of observations and actions pairs. Args... | 2 | stack_v2_sparse_classes_30k_train_020590 | Implement the Python class `CriticCnn` described below.
Class description:
Represents a Critic in the Actor to Critic Model.
Method signatures and docstrings:
- def __init__(self, num_images, num_actions): Initialise layers. Args: num_images (int) : Number of greyscale images num_actions (int) : Number of actions
- d... | Implement the Python class `CriticCnn` described below.
Class description:
Represents a Critic in the Actor to Critic Model.
Method signatures and docstrings:
- def __init__(self, num_images, num_actions): Initialise layers. Args: num_images (int) : Number of greyscale images num_actions (int) : Number of actions
- d... | 6dcb04e79f776fc780b843208e2c689578c94bb3 | <|skeleton|>
class CriticCnn:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, num_images, num_actions):
"""Initialise layers. Args: num_images (int) : Number of greyscale images num_actions (int) : Number of actions"""
<|body_0|>
def forward(self, obs_batch, acti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CriticCnn:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, num_images, num_actions):
"""Initialise layers. Args: num_images (int) : Number of greyscale images num_actions (int) : Number of actions"""
super(CriticCnn, self).__init__()
self.conv1 = nn.Conv... | the_stack_v2_python_sparse | retina_reinforcement_sim/src/model/models.py | lewisboyd/MsciProject | train | 0 |
c3a44a1f2506064752820e73fb459c1eb4256ec7 | [
"threading.Thread.__init__(self)\nself.daemon = True\nself.camera = picamera.PiCamera()\nself.camera.resolution = (config['Camera'].getint('CAMERA_RESOLUTION_H'), config['Camera'].getint('CAMERA_RESOLUTION_V'))\nself.camera.framerate = config['Camera'].getint('framerate')\nself.rawCapture = PiRGBArray(self.camera, ... | <|body_start_0|>
threading.Thread.__init__(self)
self.daemon = True
self.camera = picamera.PiCamera()
self.camera.resolution = (config['Camera'].getint('CAMERA_RESOLUTION_H'), config['Camera'].getint('CAMERA_RESOLUTION_V'))
self.camera.framerate = config['Camera'].getint('framera... | Thread to push camera to frame. | thready_boy | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class thready_boy:
"""Thread to push camera to frame."""
def __init__(self):
"""Initialise camera object."""
<|body_0|>
def run(self):
"""continuous capture the camera."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
threading.Thread.__init__(self)
... | stack_v2_sparse_classes_75kplus_train_009349 | 2,137 | no_license | [
{
"docstring": "Initialise camera object.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "continuous capture the camera.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_024955 | Implement the Python class `thready_boy` described below.
Class description:
Thread to push camera to frame.
Method signatures and docstrings:
- def __init__(self): Initialise camera object.
- def run(self): continuous capture the camera. | Implement the Python class `thready_boy` described below.
Class description:
Thread to push camera to frame.
Method signatures and docstrings:
- def __init__(self): Initialise camera object.
- def run(self): continuous capture the camera.
<|skeleton|>
class thready_boy:
"""Thread to push camera to frame."""
... | 646583889954f52ea44eb0bae73c6e4a05a07846 | <|skeleton|>
class thready_boy:
"""Thread to push camera to frame."""
def __init__(self):
"""Initialise camera object."""
<|body_0|>
def run(self):
"""continuous capture the camera."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class thready_boy:
"""Thread to push camera to frame."""
def __init__(self):
"""Initialise camera object."""
threading.Thread.__init__(self)
self.daemon = True
self.camera = picamera.PiCamera()
self.camera.resolution = (config['Camera'].getint('CAMERA_RESOLUTION_H'), con... | the_stack_v2_python_sparse | src/hardware/camera.py | rummens1337/project-row-rover | train | 1 |
90d3f21dd63495c29c5f6d8cfd7f0bec78b1aa9b | [
"if connect_params is None:\n self.connect_params = {}\nelse:\n self.connect_params = connect_params\nself.db = self._open_connection()\nself.cursor = self.db.cursor()",
"try:\n return MySQLdb.connect(**self.connect_params)\nexcept MySQLdb.MySQLError as e:\n raise DatabaseAccessError(e)",
"try:\n ... | <|body_start_0|>
if connect_params is None:
self.connect_params = {}
else:
self.connect_params = connect_params
self.db = self._open_connection()
self.cursor = self.db.cursor()
<|end_body_0|>
<|body_start_1|>
try:
return MySQLdb.connect(**self... | Database that connects to MySQL. | MySQLDatabase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySQLDatabase:
"""Database that connects to MySQL."""
def __init__(self, connect_params):
"""Create a MySQL database with connection parameters."""
<|body_0|>
def _open_connection(self):
"""Open connection to database and return the connection object"""
<... | stack_v2_sparse_classes_75kplus_train_009350 | 4,399 | no_license | [
{
"docstring": "Create a MySQL database with connection parameters.",
"name": "__init__",
"signature": "def __init__(self, connect_params)"
},
{
"docstring": "Open connection to database and return the connection object",
"name": "_open_connection",
"signature": "def _open_connection(sel... | 6 | stack_v2_sparse_classes_30k_train_020471 | Implement the Python class `MySQLDatabase` described below.
Class description:
Database that connects to MySQL.
Method signatures and docstrings:
- def __init__(self, connect_params): Create a MySQL database with connection parameters.
- def _open_connection(self): Open connection to database and return the connectio... | Implement the Python class `MySQLDatabase` described below.
Class description:
Database that connects to MySQL.
Method signatures and docstrings:
- def __init__(self, connect_params): Create a MySQL database with connection parameters.
- def _open_connection(self): Open connection to database and return the connectio... | dbf372b361742484b270c4b69a3d5c5d18f300b6 | <|skeleton|>
class MySQLDatabase:
"""Database that connects to MySQL."""
def __init__(self, connect_params):
"""Create a MySQL database with connection parameters."""
<|body_0|>
def _open_connection(self):
"""Open connection to database and return the connection object"""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MySQLDatabase:
"""Database that connects to MySQL."""
def __init__(self, connect_params):
"""Create a MySQL database with connection parameters."""
if connect_params is None:
self.connect_params = {}
else:
self.connect_params = connect_params
self.d... | the_stack_v2_python_sparse | src/scripts/libs/ng/database.py | lichuanzju/ngavatar | train | 0 |
205de0a26bd935f82dab87717f41c860fc571555 | [
"super().modify_request_args(kwargs)\nkwargs.pop('get_footer_url', None)\nresource_type = kwargs.get('resource_type')\nparams = kwargs.setdefault('params', {})\nreferences = params.get('references')\nif references is None:\n if resource_type in (Resource.categoryscheme, Resource.dataflow, Resource.datastructure)... | <|body_start_0|>
super().modify_request_args(kwargs)
kwargs.pop('get_footer_url', None)
resource_type = kwargs.get('resource_type')
params = kwargs.setdefault('params', {})
references = params.get('references')
if references is None:
if resource_type in (Resou... | Handle Eurostat's mechanism for large datasets and other quirks. For some requests, ESTAT returns a DataMessage that has no content except for a ``<footer:Footer>`` element containing a URL where the data will be made available as a ZIP file. To configure :meth:`finish_message`, pass its `get_footer_url` argument to :m... | Source | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Source:
"""Handle Eurostat's mechanism for large datasets and other quirks. For some requests, ESTAT returns a DataMessage that has no content except for a ``<footer:Footer>`` element containing a URL where the data will be made available as a ZIP file. To configure :meth:`finish_message`, pass i... | stack_v2_sparse_classes_75kplus_train_009351 | 4,903 | permissive | [
{
"docstring": "Modify arguments used to build query URL. For the \"references\" query parameter, ESTAT (as of 2022-11-13) only supports the values \"children\", \"descendants\", or \"none\". Other values—including the \"all\" or \"parentsandsiblings\" used as defaults by :class:`.Client` cause errors. Replace ... | 3 | stack_v2_sparse_classes_30k_train_021357 | Implement the Python class `Source` described below.
Class description:
Handle Eurostat's mechanism for large datasets and other quirks. For some requests, ESTAT returns a DataMessage that has no content except for a ``<footer:Footer>`` element containing a URL where the data will be made available as a ZIP file. To c... | Implement the Python class `Source` described below.
Class description:
Handle Eurostat's mechanism for large datasets and other quirks. For some requests, ESTAT returns a DataMessage that has no content except for a ``<footer:Footer>`` element containing a URL where the data will be made available as a ZIP file. To c... | 7a648fb07b78d06b766aa65978101526d393eb14 | <|skeleton|>
class Source:
"""Handle Eurostat's mechanism for large datasets and other quirks. For some requests, ESTAT returns a DataMessage that has no content except for a ``<footer:Footer>`` element containing a URL where the data will be made available as a ZIP file. To configure :meth:`finish_message`, pass i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Source:
"""Handle Eurostat's mechanism for large datasets and other quirks. For some requests, ESTAT returns a DataMessage that has no content except for a ``<footer:Footer>`` element containing a URL where the data will be made available as a ZIP file. To configure :meth:`finish_message`, pass its `get_foote... | the_stack_v2_python_sparse | sdmx/source/estat.py | khaeru/sdmx | train | 10 |
179862ad6bdba466e9999cbf3a707eb2e3202104 | [
"email = request.data.get('email')\nif request.user.is_authenticated and email != request.user.email:\n raise PermissionDenied()\nreturn super(ResendConfirmationEmail, self).initial(request, *args, **kwargs)",
"serializer = self.serializer_class(data=request.data)\nif not serializer.is_valid():\n return res... | <|body_start_0|>
email = request.data.get('email')
if request.user.is_authenticated and email != request.user.email:
raise PermissionDenied()
return super(ResendConfirmationEmail, self).initial(request, *args, **kwargs)
<|end_body_0|>
<|body_start_1|>
serializer = self.seria... | Resend a confirmation email. `POST` request to resend a confirmation email for existing user. If user is authenticated the email sent should match. | ResendConfirmationEmail | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResendConfirmationEmail:
"""Resend a confirmation email. `POST` request to resend a confirmation email for existing user. If user is authenticated the email sent should match."""
def initial(self, request, *args, **kwargs):
"""Disallow users other than the user whose email is being r... | stack_v2_sparse_classes_75kplus_train_009352 | 10,251 | permissive | [
{
"docstring": "Disallow users other than the user whose email is being reset.",
"name": "initial",
"signature": "def initial(self, request, *args, **kwargs)"
},
{
"docstring": "Validate `email` and send a request to confirm it.",
"name": "post",
"signature": "def post(self, request, *ar... | 2 | stack_v2_sparse_classes_30k_train_002211 | Implement the Python class `ResendConfirmationEmail` described below.
Class description:
Resend a confirmation email. `POST` request to resend a confirmation email for existing user. If user is authenticated the email sent should match.
Method signatures and docstrings:
- def initial(self, request, *args, **kwargs): ... | Implement the Python class `ResendConfirmationEmail` described below.
Class description:
Resend a confirmation email. `POST` request to resend a confirmation email for existing user. If user is authenticated the email sent should match.
Method signatures and docstrings:
- def initial(self, request, *args, **kwargs): ... | 28cd481d333fa313601825dab4b05f3e51974fe8 | <|skeleton|>
class ResendConfirmationEmail:
"""Resend a confirmation email. `POST` request to resend a confirmation email for existing user. If user is authenticated the email sent should match."""
def initial(self, request, *args, **kwargs):
"""Disallow users other than the user whose email is being r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResendConfirmationEmail:
"""Resend a confirmation email. `POST` request to resend a confirmation email for existing user. If user is authenticated the email sent should match."""
def initial(self, request, *args, **kwargs):
"""Disallow users other than the user whose email is being reset."""
... | the_stack_v2_python_sparse | user_management/api/views.py | incuna/django-user-management | train | 56 |
a4bafe5c65c309fcde772fc97c097564dc89c41e | [
"super().__init__(**kwargs)\nself.parent = parent\nself.resizable(0, 0)\nself.title('Visualization options')\nself.action = action\nself.option = StringVar()\nself.main_frame = Frame(self, width=200, height=400)\nself.main_frame.grid(row=0, column=0, padx=10, pady=5)\nif self.action == 'viz':\n self.option_label... | <|body_start_0|>
super().__init__(**kwargs)
self.parent = parent
self.resizable(0, 0)
self.title('Visualization options')
self.action = action
self.option = StringVar()
self.main_frame = Frame(self, width=200, height=400)
self.main_frame.grid(row=0, column... | Class for the window to select graph options. | VisualizeOptionWindow | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VisualizeOptionWindow:
"""Class for the window to select graph options."""
def __init__(self, parent, action, **kwargs):
"""Init function for the option window :param parent: the parent window :param kwargs: the arguments for the tkinter.Toplevel superclass"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_009353 | 2,127 | no_license | [
{
"docstring": "Init function for the option window :param parent: the parent window :param kwargs: the arguments for the tkinter.Toplevel superclass",
"name": "__init__",
"signature": "def __init__(self, parent, action, **kwargs)"
},
{
"docstring": "Sends the option selected to the parent windo... | 2 | stack_v2_sparse_classes_30k_train_006496 | Implement the Python class `VisualizeOptionWindow` described below.
Class description:
Class for the window to select graph options.
Method signatures and docstrings:
- def __init__(self, parent, action, **kwargs): Init function for the option window :param parent: the parent window :param kwargs: the arguments for t... | Implement the Python class `VisualizeOptionWindow` described below.
Class description:
Class for the window to select graph options.
Method signatures and docstrings:
- def __init__(self, parent, action, **kwargs): Init function for the option window :param parent: the parent window :param kwargs: the arguments for t... | db7186d548bb9eea83ef2455946f7fd31245c26c | <|skeleton|>
class VisualizeOptionWindow:
"""Class for the window to select graph options."""
def __init__(self, parent, action, **kwargs):
"""Init function for the option window :param parent: the parent window :param kwargs: the arguments for the tkinter.Toplevel superclass"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VisualizeOptionWindow:
"""Class for the window to select graph options."""
def __init__(self, parent, action, **kwargs):
"""Init function for the option window :param parent: the parent window :param kwargs: the arguments for the tkinter.Toplevel superclass"""
super().__init__(**kwargs)
... | the_stack_v2_python_sparse | PRD2_CONDETTE_Clément/PRD_Project/View/VisualizeOptionWindow.py | Jean-Baptiste-HUYGHE/PRD | train | 1 |
14e9e4bfbb9f8134a12ff629d4b85571d4a8e993 | [
"send_url = self.get_peizhi_(name='mensuo', yaml_ming='h5.yaml')\nsend_url = send_url['listUser']\nlogging.info('url is %s' % send_url)\nsend_dict = {'doorId': doorId}\nresponse = self.request_post(base_url=send_url, dict_data=send_dict)\nreturn response",
"send_url = self.get_peizhi_(name='mensuo', yaml_ming='h5... | <|body_start_0|>
send_url = self.get_peizhi_(name='mensuo', yaml_ming='h5.yaml')
send_url = send_url['listUser']
logging.info('url is %s' % send_url)
send_dict = {'doorId': doorId}
response = self.request_post(base_url=send_url, dict_data=send_dict)
return response
<|end_... | 房东端H5 | Fangdongduan_H5 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Fangdongduan_H5:
"""房东端H5"""
def listUser(self, doorId):
"""获取门锁所有有权限用户列表"""
<|body_0|>
def getDoorBaseInfo(self, doorId):
"""获取门锁基本信息"""
<|body_1|>
def unfreezeRenter(self, userId, doorId):
"""房东解冻租客"""
<|body_2|>
def freezeRent... | stack_v2_sparse_classes_75kplus_train_009354 | 2,562 | no_license | [
{
"docstring": "获取门锁所有有权限用户列表",
"name": "listUser",
"signature": "def listUser(self, doorId)"
},
{
"docstring": "获取门锁基本信息",
"name": "getDoorBaseInfo",
"signature": "def getDoorBaseInfo(self, doorId)"
},
{
"docstring": "房东解冻租客",
"name": "unfreezeRenter",
"signature": "def ... | 4 | stack_v2_sparse_classes_30k_train_046390 | Implement the Python class `Fangdongduan_H5` described below.
Class description:
房东端H5
Method signatures and docstrings:
- def listUser(self, doorId): 获取门锁所有有权限用户列表
- def getDoorBaseInfo(self, doorId): 获取门锁基本信息
- def unfreezeRenter(self, userId, doorId): 房东解冻租客
- def freezeRenter(self, userId, doorId): 房东冻结租客 | Implement the Python class `Fangdongduan_H5` described below.
Class description:
房东端H5
Method signatures and docstrings:
- def listUser(self, doorId): 获取门锁所有有权限用户列表
- def getDoorBaseInfo(self, doorId): 获取门锁基本信息
- def unfreezeRenter(self, userId, doorId): 房东解冻租客
- def freezeRenter(self, userId, doorId): 房东冻结租客
<|skel... | e173d4e535ac22b72b67371b8a2524ee425cdcbf | <|skeleton|>
class Fangdongduan_H5:
"""房东端H5"""
def listUser(self, doorId):
"""获取门锁所有有权限用户列表"""
<|body_0|>
def getDoorBaseInfo(self, doorId):
"""获取门锁基本信息"""
<|body_1|>
def unfreezeRenter(self, userId, doorId):
"""房东解冻租客"""
<|body_2|>
def freezeRent... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Fangdongduan_H5:
"""房东端H5"""
def listUser(self, doorId):
"""获取门锁所有有权限用户列表"""
send_url = self.get_peizhi_(name='mensuo', yaml_ming='h5.yaml')
send_url = send_url['listUser']
logging.info('url is %s' % send_url)
send_dict = {'doorId': doorId}
response = self.... | the_stack_v2_python_sparse | public/aYiLou_fangdong/yilou_fangdong_business/fangdongduan_H5.py | GSIL-Monitor/mrbao_python | train | 0 |
f7542da8340f0c6d3b57e7b58e81522c4f3a6587 | [
"node = Node()\nnode.id = '1234'\nself.assertEqual(node.getId(), node.id)",
"node = Node()\nnode.properties['datawire_nodeId'] = '4567'\nself.assertEqual(node.getId(), '4567')"
] | <|body_start_0|>
node = Node()
node.id = '1234'
self.assertEqual(node.getId(), node.id)
<|end_body_0|>
<|body_start_1|>
node = Node()
node.properties['datawire_nodeId'] = '4567'
self.assertEqual(node.getId(), '4567')
<|end_body_1|>
| Tests for Node. | NodeTests | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NodeTests:
"""Tests for Node."""
def test_id(self):
"""Node.getId() uses Node.id if present."""
<|body_0|>
def test_missingId(self):
"""Node.getId() uses the datawire_nodeId property if the id is not set."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_009355 | 35,450 | permissive | [
{
"docstring": "Node.getId() uses Node.id if present.",
"name": "test_id",
"signature": "def test_id(self)"
},
{
"docstring": "Node.getId() uses the datawire_nodeId property if the id is not set.",
"name": "test_missingId",
"signature": "def test_missingId(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015640 | Implement the Python class `NodeTests` described below.
Class description:
Tests for Node.
Method signatures and docstrings:
- def test_id(self): Node.getId() uses Node.id if present.
- def test_missingId(self): Node.getId() uses the datawire_nodeId property if the id is not set. | Implement the Python class `NodeTests` described below.
Class description:
Tests for Node.
Method signatures and docstrings:
- def test_id(self): Node.getId() uses Node.id if present.
- def test_missingId(self): Node.getId() uses the datawire_nodeId property if the id is not set.
<|skeleton|>
class NodeTests:
""... | 8b4ad9aa1e3602f4ec7f3bdd5f2c22abcfe81463 | <|skeleton|>
class NodeTests:
"""Tests for Node."""
def test_id(self):
"""Node.getId() uses Node.id if present."""
<|body_0|>
def test_missingId(self):
"""Node.getId() uses the datawire_nodeId property if the id is not set."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NodeTests:
"""Tests for Node."""
def test_id(self):
"""Node.getId() uses Node.id if present."""
node = Node()
node.id = '1234'
self.assertEqual(node.getId(), node.id)
def test_missingId(self):
"""Node.getId() uses the datawire_nodeId property if the id is not ... | the_stack_v2_python_sparse | unittests/test_discovery.py | casualuser/mdk | train | 0 |
806f59f4eafffa214b25d5e8bbadef45976cbd84 | [
"zip_file = ZipFile(text_input_path)\nxml_data = zip_file.read('word/document.xml')\nzip_file.close()\nreturn BeautifulSoup(xml_data, 'xml')",
"list_of_value = []\ntables = text_input_soup.find_all('tbl')\ndd_lists_content = tables[table_index].find_all('sdtContent')\nfor i in dd_lists_content:\n list_of_value... | <|body_start_0|>
zip_file = ZipFile(text_input_path)
xml_data = zip_file.read('word/document.xml')
zip_file.close()
return BeautifulSoup(xml_data, 'xml')
<|end_body_0|>
<|body_start_1|>
list_of_value = []
tables = text_input_soup.find_all('tbl')
dd_lists_content ... | DropDownLists | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DropDownLists:
def get_soup(text_input_path) -> BeautifulSoup:
"""Opens a .docx file as a .zip file and stores the XML data containing the infos about the .docx document in a BeautifulSoup object. Args: text_input_path: Path of the text input form. Returns: BeautifulSoup object that cont... | stack_v2_sparse_classes_75kplus_train_009356 | 1,611 | no_license | [
{
"docstring": "Opens a .docx file as a .zip file and stores the XML data containing the infos about the .docx document in a BeautifulSoup object. Args: text_input_path: Path of the text input form. Returns: BeautifulSoup object that contains the XML data of the .docx document.",
"name": "get_soup",
"si... | 2 | stack_v2_sparse_classes_30k_train_050184 | Implement the Python class `DropDownLists` described below.
Class description:
Implement the DropDownLists class.
Method signatures and docstrings:
- def get_soup(text_input_path) -> BeautifulSoup: Opens a .docx file as a .zip file and stores the XML data containing the infos about the .docx document in a BeautifulSo... | Implement the Python class `DropDownLists` described below.
Class description:
Implement the DropDownLists class.
Method signatures and docstrings:
- def get_soup(text_input_path) -> BeautifulSoup: Opens a .docx file as a .zip file and stores the XML data containing the infos about the .docx document in a BeautifulSo... | f0ce3f75756be5a1b377474882b66293be8ed5ac | <|skeleton|>
class DropDownLists:
def get_soup(text_input_path) -> BeautifulSoup:
"""Opens a .docx file as a .zip file and stores the XML data containing the infos about the .docx document in a BeautifulSoup object. Args: text_input_path: Path of the text input form. Returns: BeautifulSoup object that cont... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DropDownLists:
def get_soup(text_input_path) -> BeautifulSoup:
"""Opens a .docx file as a .zip file and stores the XML data containing the infos about the .docx document in a BeautifulSoup object. Args: text_input_path: Path of the text input form. Returns: BeautifulSoup object that contains the XML d... | the_stack_v2_python_sparse | docx_package/dropdown_lists.py | how2know/Usability_Testing_Report_Generator | train | 0 | |
6e256b6d2927d3b8788ddc3e35ed29846bb1c0ec | [
"l1, l2 = (headA, headB)\nwhile l1 != l2:\n l1 = l1.next if l1 else headB\n l2 = l2.next if l2 else headA\nreturn l1",
"p1, p2 = (headA, headB)\nc1, c2 = (0, 0)\nwhile p1:\n p1 = p1.next\n c1 += 1\nwhile p2:\n p2 = p2.next\n c2 += 1\nheadA, headB = (headA, headB)\nif c1 > c2:\n for _ in range... | <|body_start_0|>
l1, l2 = (headA, headB)
while l1 != l2:
l1 = l1.next if l1 else headB
l2 = l2.next if l2 else headA
return l1
<|end_body_0|>
<|body_start_1|>
p1, p2 = (headA, headB)
c1, c2 = (0, 0)
while p1:
p1 = p1.next
c... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_0|>
def getIntersectionNode2(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_75kplus_train_009357 | 2,813 | no_license | [
{
"docstring": ":type head1, head1: ListNode :rtype: ListNode",
"name": "getIntersectionNode",
"signature": "def getIntersectionNode(self, headA, headB)"
},
{
"docstring": ":type head1, head1: ListNode :rtype: ListNode",
"name": "getIntersectionNode2",
"signature": "def getIntersectionNo... | 2 | stack_v2_sparse_classes_30k_train_029079 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA, headB): :type head1, head1: ListNode :rtype: ListNode
- def getIntersectionNode2(self, headA, headB): :type head1, head1: ListNode :rtype: Li... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA, headB): :type head1, head1: ListNode :rtype: ListNode
- def getIntersectionNode2(self, headA, headB): :type head1, head1: ListNode :rtype: Li... | d4215451f1cad3ab6dfb4b082f4fd694fe0d31b4 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_0|>
def getIntersectionNode2(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getIntersectionNode(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
l1, l2 = (headA, headB)
while l1 != l2:
l1 = l1.next if l1 else headB
l2 = l2.next if l2 else headA
return l1
def getIntersectionNode2(self, h... | the_stack_v2_python_sparse | leetcode/探索中级算法/2链表/3相交链表.py | FishRedLeaf/my_code | train | 3 | |
62f2c8ed228d5e031079097b1590f017fc53f44e | [
"self.logger = ServerLogger(__name__, debug=debug)\nif ip_list:\n self.ip = ip_list\nelse:\n self.ip = []\nif status_code:\n self.status_code = [int(status) for status in status_code]\nelse:\n self.status_code = []\nself.logged_IP = list()",
"for ip in data.keys():\n if ip in self.ip:\n if i... | <|body_start_0|>
self.logger = ServerLogger(__name__, debug=debug)
if ip_list:
self.ip = ip_list
else:
self.ip = []
if status_code:
self.status_code = [int(status) for status in status_code]
else:
self.status_code = []
self.... | UserFilter class. | UserFilter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserFilter:
"""UserFilter class."""
def __init__(self, debug=False, ip_list=None, status_code=None):
"""Initialize UserFilter. Args: debug (bool): Log on terminal or not ip_list (list): List of IPs to filter / grab of the log file status_code (list): List of status code to filter / g... | stack_v2_sparse_classes_75kplus_train_009358 | 3,678 | permissive | [
{
"docstring": "Initialize UserFilter. Args: debug (bool): Log on terminal or not ip_list (list): List of IPs to filter / grab of the log file status_code (list): List of status code to filter / grab of the log file Raises: None Returns: None",
"name": "__init__",
"signature": "def __init__(self, debug=... | 3 | stack_v2_sparse_classes_30k_train_046546 | Implement the Python class `UserFilter` described below.
Class description:
UserFilter class.
Method signatures and docstrings:
- def __init__(self, debug=False, ip_list=None, status_code=None): Initialize UserFilter. Args: debug (bool): Log on terminal or not ip_list (list): List of IPs to filter / grab of the log f... | Implement the Python class `UserFilter` described below.
Class description:
UserFilter class.
Method signatures and docstrings:
- def __init__(self, debug=False, ip_list=None, status_code=None): Initialize UserFilter. Args: debug (bool): Log on terminal or not ip_list (list): List of IPs to filter / grab of the log f... | 43dec187e5848b9ced8a6b4957b6e9028d4d43cd | <|skeleton|>
class UserFilter:
"""UserFilter class."""
def __init__(self, debug=False, ip_list=None, status_code=None):
"""Initialize UserFilter. Args: debug (bool): Log on terminal or not ip_list (list): List of IPs to filter / grab of the log file status_code (list): List of status code to filter / g... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserFilter:
"""UserFilter class."""
def __init__(self, debug=False, ip_list=None, status_code=None):
"""Initialize UserFilter. Args: debug (bool): Log on terminal or not ip_list (list): List of IPs to filter / grab of the log file status_code (list): List of status code to filter / grab of the lo... | the_stack_v2_python_sparse | securetea/lib/log_monitor/server_log/user_filter.py | rejahrehim/SecureTea-Project | train | 1 |
6c3b0896585a2b834791b7db54084116cb9587fc | [
"self.ide = identity_element\nself.lide = lazy_ide\nself.func = segfunc\nn = len(ls)\nself.num = 2 ** (n - 1).bit_length()\nself.tree = [self.ide] * (2 * self.num)\nself.lazy = [self.lide] * (2 * self.num)\nfor i, l in enumerate(ls):\n self.tree[i + self.num - 1] = l\nfor i in range(self.num - 2, -1, -1):\n s... | <|body_start_0|>
self.ide = identity_element
self.lide = lazy_ide
self.func = segfunc
n = len(ls)
self.num = 2 ** (n - 1).bit_length()
self.tree = [self.ide] * (2 * self.num)
self.lazy = [self.lide] * (2 * self.num)
for i, l in enumerate(ls):
s... | SegmentTreeForRSQandRAQ | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SegmentTreeForRSQandRAQ:
def __init__(self, ls: list, segfunc=operator.add, identity_element=0, lazy_ide=0):
"""セグ木 もしかしたらバグがあるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%... | stack_v2_sparse_classes_75kplus_train_009359 | 23,273 | no_license | [
{
"docstring": "セグ木 もしかしたらバグがあるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%E4%BD%8D%E5%85%83)",
"name": "__init__",
"signature": "def __init__(self, ls: list, segfunc=operator.add, identi... | 4 | stack_v2_sparse_classes_30k_train_029652 | Implement the Python class `SegmentTreeForRSQandRAQ` described below.
Class description:
Implement the SegmentTreeForRSQandRAQ class.
Method signatures and docstrings:
- def __init__(self, ls: list, segfunc=operator.add, identity_element=0, lazy_ide=0): セグ木 もしかしたらバグがあるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncに... | Implement the Python class `SegmentTreeForRSQandRAQ` described below.
Class description:
Implement the SegmentTreeForRSQandRAQ class.
Method signatures and docstrings:
- def __init__(self, ls: list, segfunc=operator.add, identity_element=0, lazy_ide=0): セグ木 もしかしたらバグがあるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncに... | 74915a40ac157f89fe400e3f98e9bf3c10012cd7 | <|skeleton|>
class SegmentTreeForRSQandRAQ:
def __init__(self, ls: list, segfunc=operator.add, identity_element=0, lazy_ide=0):
"""セグ木 もしかしたらバグがあるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SegmentTreeForRSQandRAQ:
def __init__(self, ls: list, segfunc=operator.add, identity_element=0, lazy_ide=0):
"""セグ木 もしかしたらバグがあるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%E4%BD%8D%E5%85... | the_stack_v2_python_sparse | algorithm/SegmentTree.py | masakiaota/kyoupuro | train | 1 | |
6de916fb17caf7136b22033461b2ececfa2bfcdf | [
"if key == 'is_verified' and value is False and (self.is_primary is True):\n raise PrimaryElementViolation(\"Can't remove verified status of primary element\")\nsuper().__setattr__(key, value)",
"data = super()._from_dict_transform(data)\nif 'primary' in data:\n data['is_primary'] = data.pop('primary')\nret... | <|body_start_0|>
if key == 'is_verified' and value is False and (self.is_primary is True):
raise PrimaryElementViolation("Can't remove verified status of primary element")
super().__setattr__(key, value)
<|end_body_0|>
<|body_start_1|>
data = super()._from_dict_transform(data)
... | Elements that can be either primary or not. | PrimaryElement | [
"BSD-2-Clause-Views"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrimaryElement:
"""Elements that can be either primary or not."""
def __setattr__(self, key: str, value: Any):
"""raise PrimaryElementViolation when trying to set a primary element as unverified"""
<|body_0|>
def _from_dict_transform(cls: Type[TPrimaryElementSubclass], d... | stack_v2_sparse_classes_75kplus_train_009360 | 18,109 | permissive | [
{
"docstring": "raise PrimaryElementViolation when trying to set a primary element as unverified",
"name": "__setattr__",
"signature": "def __setattr__(self, key: str, value: Any)"
},
{
"docstring": "Transform data received in eduid format into pythonic format.",
"name": "_from_dict_transfor... | 3 | stack_v2_sparse_classes_30k_train_030265 | Implement the Python class `PrimaryElement` described below.
Class description:
Elements that can be either primary or not.
Method signatures and docstrings:
- def __setattr__(self, key: str, value: Any): raise PrimaryElementViolation when trying to set a primary element as unverified
- def _from_dict_transform(cls: ... | Implement the Python class `PrimaryElement` described below.
Class description:
Elements that can be either primary or not.
Method signatures and docstrings:
- def __setattr__(self, key: str, value: Any): raise PrimaryElementViolation when trying to set a primary element as unverified
- def _from_dict_transform(cls: ... | 5970880caf0b0e2bdee6c23869ef287acc87af2a | <|skeleton|>
class PrimaryElement:
"""Elements that can be either primary or not."""
def __setattr__(self, key: str, value: Any):
"""raise PrimaryElementViolation when trying to set a primary element as unverified"""
<|body_0|>
def _from_dict_transform(cls: Type[TPrimaryElementSubclass], d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrimaryElement:
"""Elements that can be either primary or not."""
def __setattr__(self, key: str, value: Any):
"""raise PrimaryElementViolation when trying to set a primary element as unverified"""
if key == 'is_verified' and value is False and (self.is_primary is True):
raise... | the_stack_v2_python_sparse | src/eduid_userdb/element.py | SUNET/eduid-userdb | train | 0 |
08119d2fc116a956fb18dacf8504ce5c550c73ec | [
"super(ExtractReferenceB0Image, self).__init__()\nself.add_trait('dw_image', File(_Undefined(), optional=False, output=False, exists=True, desc='an existing diffusion weighted image'))\nself.add_trait('bvals', File(_Undefined(), optional=False, output=False, exists=True, desc='the the diffusion b-values'))\nself.ad... | <|body_start_0|>
super(ExtractReferenceB0Image, self).__init__()
self.add_trait('dw_image', File(_Undefined(), optional=False, output=False, exists=True, desc='an existing diffusion weighted image'))
self.add_trait('bvals', File(_Undefined(), optional=False, output=False, exists=True, desc='the ... | Extract the first reference (b=0) image from a diffusion timeserie | ExtractReferenceB0Image | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExtractReferenceB0Image:
"""Extract the first reference (b=0) image from a diffusion timeserie"""
def __init__(self):
"""Initialize ExtractReferenceB0Image class"""
<|body_0|>
def _run_process(self):
"""ExtractReferenceB0Image execution code"""
<|body_1|>... | stack_v2_sparse_classes_75kplus_train_009361 | 9,597 | no_license | [
{
"docstring": "Initialize ExtractReferenceB0Image class",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "ExtractReferenceB0Image execution code",
"name": "_run_process",
"signature": "def _run_process(self)"
},
{
"docstring": "Method to get the first re... | 3 | stack_v2_sparse_classes_30k_train_001134 | Implement the Python class `ExtractReferenceB0Image` described below.
Class description:
Extract the first reference (b=0) image from a diffusion timeserie
Method signatures and docstrings:
- def __init__(self): Initialize ExtractReferenceB0Image class
- def _run_process(self): ExtractReferenceB0Image execution code
... | Implement the Python class `ExtractReferenceB0Image` described below.
Class description:
Extract the first reference (b=0) image from a diffusion timeserie
Method signatures and docstrings:
- def __init__(self): Initialize ExtractReferenceB0Image class
- def _run_process(self): ExtractReferenceB0Image execution code
... | 02d5e94dce362b2f99dedf486e5342f98af17af4 | <|skeleton|>
class ExtractReferenceB0Image:
"""Extract the first reference (b=0) image from a diffusion timeserie"""
def __init__(self):
"""Initialize ExtractReferenceB0Image class"""
<|body_0|>
def _run_process(self):
"""ExtractReferenceB0Image execution code"""
<|body_1|>... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExtractReferenceB0Image:
"""Extract the first reference (b=0) image from a diffusion timeserie"""
def __init__(self):
"""Initialize ExtractReferenceB0Image class"""
super(ExtractReferenceB0Image, self).__init__()
self.add_trait('dw_image', File(_Undefined(), optional=False, output... | the_stack_v2_python_sparse | clindmri/preproc/bet.py | dgoyard/caps-clindmri | train | 0 |
20d7f9803f787611c1580c0df141ed3f9fa59e6a | [
"self.assertEqual(start_point(52), (50, 5))\nself.assertEqual(start_point(61), (50, 5))\nself.assertEqual(start_point(31), (26, 4))\nself.assertEqual(start_point(47), (26, 4))\nself.assertEqual(start_point(19), (10, 3))\nself.assertEqual(start_point(3), (2, 2))\nself.assertEqual(start_point(1), (1, 1))",
"self.as... | <|body_start_0|>
self.assertEqual(start_point(52), (50, 5))
self.assertEqual(start_point(61), (50, 5))
self.assertEqual(start_point(31), (26, 4))
self.assertEqual(start_point(47), (26, 4))
self.assertEqual(start_point(19), (10, 3))
self.assertEqual(start_point(3), (2, 2))... | Unist tests for actual day | MyTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTest:
"""Unist tests for actual day"""
def test_start(self):
"""Test start point"""
<|body_0|>
def test_y(self):
"""Test y value"""
<|body_1|>
def test_side(self):
"""Test side position"""
<|body_2|>
def test_match(self):
... | stack_v2_sparse_classes_75kplus_train_009362 | 1,777 | permissive | [
{
"docstring": "Test start point",
"name": "test_start",
"signature": "def test_start(self)"
},
{
"docstring": "Test y value",
"name": "test_y",
"signature": "def test_y(self)"
},
{
"docstring": "Test side position",
"name": "test_side",
"signature": "def test_side(self)"... | 4 | stack_v2_sparse_classes_30k_train_051729 | Implement the Python class `MyTest` described below.
Class description:
Unist tests for actual day
Method signatures and docstrings:
- def test_start(self): Test start point
- def test_y(self): Test y value
- def test_side(self): Test side position
- def test_match(self): The basic test cases | Implement the Python class `MyTest` described below.
Class description:
Unist tests for actual day
Method signatures and docstrings:
- def test_start(self): Test start point
- def test_y(self): Test y value
- def test_side(self): Test side position
- def test_match(self): The basic test cases
<|skeleton|>
class MyTe... | 635be485ec691f9c0cdeb83f944de190f51c1ba3 | <|skeleton|>
class MyTest:
"""Unist tests for actual day"""
def test_start(self):
"""Test start point"""
<|body_0|>
def test_y(self):
"""Test y value"""
<|body_1|>
def test_side(self):
"""Test side position"""
<|body_2|>
def test_match(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyTest:
"""Unist tests for actual day"""
def test_start(self):
"""Test start point"""
self.assertEqual(start_point(52), (50, 5))
self.assertEqual(start_point(61), (50, 5))
self.assertEqual(start_point(31), (26, 4))
self.assertEqual(start_point(47), (26, 4))
... | the_stack_v2_python_sparse | 2017/03_1/code.test.py | budavariam/advent_of_code | train | 1 |
3919f0bb9818585f8d82c3ee8a9db80a50fa73f8 | [
"from_uid = self.authenticate(token)\nmsg = Messages()\nif to_uid:\n if start_count and end_count:\n data = msg.getMessageThread(from_uid, to_uid, start_count, end_count)\n else:\n data = msg.getMessageThread(from_uid, to_uid)\nelse:\n data = msg.getUsersMessaged(from_uid)\nif data:\n retu... | <|body_start_0|>
from_uid = self.authenticate(token)
msg = Messages()
if to_uid:
if start_count and end_count:
data = msg.getMessageThread(from_uid, to_uid, start_count, end_count)
else:
data = msg.getMessageThread(from_uid, to_uid)
... | MessageApi | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MessageApi:
def GET(self, token, to_uid=None, start_count=None, end_count=None):
"""Return messages to the client. Doing a GET with only a token will return all the people they have talked to. Doing a GET with the UID will result in them actually getting message from that thread. :return... | stack_v2_sparse_classes_75kplus_train_009363 | 11,215 | permissive | [
{
"docstring": "Return messages to the client. Doing a GET with only a token will return all the people they have talked to. Doing a GET with the UID will result in them actually getting message from that thread. :return:",
"name": "GET",
"signature": "def GET(self, token, to_uid=None, start_count=None,... | 2 | null | Implement the Python class `MessageApi` described below.
Class description:
Implement the MessageApi class.
Method signatures and docstrings:
- def GET(self, token, to_uid=None, start_count=None, end_count=None): Return messages to the client. Doing a GET with only a token will return all the people they have talked ... | Implement the Python class `MessageApi` described below.
Class description:
Implement the MessageApi class.
Method signatures and docstrings:
- def GET(self, token, to_uid=None, start_count=None, end_count=None): Return messages to the client. Doing a GET with only a token will return all the people they have talked ... | b8a4324490453bcf5bff1d7f3c3cc8aaab542e76 | <|skeleton|>
class MessageApi:
def GET(self, token, to_uid=None, start_count=None, end_count=None):
"""Return messages to the client. Doing a GET with only a token will return all the people they have talked to. Doing a GET with the UID will result in them actually getting message from that thread. :return... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MessageApi:
def GET(self, token, to_uid=None, start_count=None, end_count=None):
"""Return messages to the client. Doing a GET with only a token will return all the people they have talked to. Doing a GET with the UID will result in them actually getting message from that thread. :return:"""
f... | the_stack_v2_python_sparse | garrulous.py | IMidULti/garrulous-api | train | 0 | |
7db6f15b378c878d272b9d49ed79750117d32712 | [
"node_data = dict(id='node' + node['id'], type=node['labels'][0])\nif node.get('properties'):\n node_data.update(node['properties'])\nreturn {'data': node_data}",
"edge_data = dict(id='edge' + edge['id'], type=edge['type'], source='node' + edge['startNode'], target='node' + edge['endNode'])\nif edge.get('prope... | <|body_start_0|>
node_data = dict(id='node' + node['id'], type=node['labels'][0])
if node.get('properties'):
node_data.update(node['properties'])
return {'data': node_data}
<|end_body_0|>
<|body_start_1|>
edge_data = dict(id='edge' + edge['id'], type=edge['type'], source='no... | Cytoscape formatter. This formatter will return the graph compatible with the open source graph Javascript library Cytoscape (http://js.cytoscape.org/). | CytoscapeOutputFormatter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CytoscapeOutputFormatter:
"""Cytoscape formatter. This formatter will return the graph compatible with the open source graph Javascript library Cytoscape (http://js.cytoscape.org/)."""
def format_node(self, node):
"""Format a Cytoscape graph node. Args: node: A dictionary with one no... | stack_v2_sparse_classes_75kplus_train_009364 | 8,202 | permissive | [
{
"docstring": "Format a Cytoscape graph node. Args: node: A dictionary with one node Returns: Dictionary with a Cytoscape formatted node",
"name": "format_node",
"signature": "def format_node(self, node)"
},
{
"docstring": "Format a Cytoscape graph egde. Args: edge: A dictionary with one edge R... | 2 | stack_v2_sparse_classes_30k_train_003755 | Implement the Python class `CytoscapeOutputFormatter` described below.
Class description:
Cytoscape formatter. This formatter will return the graph compatible with the open source graph Javascript library Cytoscape (http://js.cytoscape.org/).
Method signatures and docstrings:
- def format_node(self, node): Format a C... | Implement the Python class `CytoscapeOutputFormatter` described below.
Class description:
Cytoscape formatter. This formatter will return the graph compatible with the open source graph Javascript library Cytoscape (http://js.cytoscape.org/).
Method signatures and docstrings:
- def format_node(self, node): Format a C... | e0c833151c28e940103c3034f4cb26b1eb81750e | <|skeleton|>
class CytoscapeOutputFormatter:
"""Cytoscape formatter. This formatter will return the graph compatible with the open source graph Javascript library Cytoscape (http://js.cytoscape.org/)."""
def format_node(self, node):
"""Format a Cytoscape graph node. Args: node: A dictionary with one no... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CytoscapeOutputFormatter:
"""Cytoscape formatter. This formatter will return the graph compatible with the open source graph Javascript library Cytoscape (http://js.cytoscape.org/)."""
def format_node(self, node):
"""Format a Cytoscape graph node. Args: node: A dictionary with one node Returns: D... | the_stack_v2_python_sparse | timesketch/lib/datastores/neo4j.py | LDO-CERT/timesketch | train | 1 |
989a1f4d7ee01dca0dc4a6f147342bb921b0d98b | [
"if not nums:\n return None\n' run outer loop `k` times, and not for `n` times\\n since we only need to bubble kth largest element\\n to its sorted place in the array\\n '\nfor i in range(k):\n ' for each iteration of outer loop, run inner\\n loop one less than the ... | <|body_start_0|>
if not nums:
return None
' run outer loop `k` times, and not for `n` times\n since we only need to bubble kth largest element\n to its sorted place in the array\n '
for i in range(k):
' for each iteration of outer loop, run in... | KLargestElement | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KLargestElement:
def find_bubble_sort(self, nums: List[int], k: int) -> int:
"""using bubble sort complexity : O(nk) -> outer loop `k` times, inner loop `n` times"""
<|body_0|>
def find_heap(self, nums: List[int], k: int) -> int:
"""using heap complexity : O(n + k lo... | stack_v2_sparse_classes_75kplus_train_009365 | 2,275 | permissive | [
{
"docstring": "using bubble sort complexity : O(nk) -> outer loop `k` times, inner loop `n` times",
"name": "find_bubble_sort",
"signature": "def find_bubble_sort(self, nums: List[int], k: int) -> int"
},
{
"docstring": "using heap complexity : O(n + k log n) -> O(n) for creating the heap -> O(... | 2 | stack_v2_sparse_classes_30k_train_044439 | Implement the Python class `KLargestElement` described below.
Class description:
Implement the KLargestElement class.
Method signatures and docstrings:
- def find_bubble_sort(self, nums: List[int], k: int) -> int: using bubble sort complexity : O(nk) -> outer loop `k` times, inner loop `n` times
- def find_heap(self,... | Implement the Python class `KLargestElement` described below.
Class description:
Implement the KLargestElement class.
Method signatures and docstrings:
- def find_bubble_sort(self, nums: List[int], k: int) -> int: using bubble sort complexity : O(nk) -> outer loop `k` times, inner loop `n` times
- def find_heap(self,... | 14356c6adb1946417482eaaf6f42dde4b8351d2f | <|skeleton|>
class KLargestElement:
def find_bubble_sort(self, nums: List[int], k: int) -> int:
"""using bubble sort complexity : O(nk) -> outer loop `k` times, inner loop `n` times"""
<|body_0|>
def find_heap(self, nums: List[int], k: int) -> int:
"""using heap complexity : O(n + k lo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KLargestElement:
def find_bubble_sort(self, nums: List[int], k: int) -> int:
"""using bubble sort complexity : O(nk) -> outer loop `k` times, inner loop `n` times"""
if not nums:
return None
' run outer loop `k` times, and not for `n` times\n since we only need t... | the_stack_v2_python_sparse | simple_array/m_kth_largest.py | dhrubach/python-code-recipes | train | 1 | |
45fe5814285e36df32f860f0546176d80f9c4a0e | [
"self._on_not_found: Callable[[str, str], None] | None = None\nrel_paths = {(key_map or {}).get(key, key): file for key, file in type(self).__dict__.items() if not key.startswith('_')}\nabs_paths = {key: f'{root}/{file}' for key, file in rel_paths.items()}\nself.__dict__ = abs_paths\nsuper().__init__(abs_paths)",
... | <|body_start_0|>
self._on_not_found: Callable[[str, str], None] | None = None
rel_paths = {(key_map or {}).get(key, key): file for key, file in type(self).__dict__.items() if not key.startswith('_')}
abs_paths = {key: f'{root}/{file}' for key, file in rel_paths.items()}
self.__dict__ = a... | Files instance inherits from dict so that .values(), items(), etc. are supported but also allows accessing attributes by dot notation. E.g. FILES.wbm_summary instead of FILES["wbm_summary"]. This enables tab completion in IDEs and auto-updating attribute names across the code base when changing the key of a file. | Files | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Files:
"""Files instance inherits from dict so that .values(), items(), etc. are supported but also allows accessing attributes by dot notation. E.g. FILES.wbm_summary instead of FILES["wbm_summary"]. This enables tab completion in IDEs and auto-updating attribute names across the code base when ... | stack_v2_sparse_classes_75kplus_train_009366 | 10,259 | permissive | [
{
"docstring": "Create a Files instance. Args: root (str, optional): Root directory used to absolufy every file path. Defaults to '~/.cache/matbench-discovery/[latest_figshare_release]' where latest_figshare_release is e.g. 1.0.0. Can also be set through env var MATBENCH_DISCOVERY_CACHE_DIR. key_map (dict[str, ... | 2 | stack_v2_sparse_classes_30k_train_035100 | Implement the Python class `Files` described below.
Class description:
Files instance inherits from dict so that .values(), items(), etc. are supported but also allows accessing attributes by dot notation. E.g. FILES.wbm_summary instead of FILES["wbm_summary"]. This enables tab completion in IDEs and auto-updating att... | Implement the Python class `Files` described below.
Class description:
Files instance inherits from dict so that .values(), items(), etc. are supported but also allows accessing attributes by dot notation. E.g. FILES.wbm_summary instead of FILES["wbm_summary"]. This enables tab completion in IDEs and auto-updating att... | 5df80efbc23541d38f9f300256cc30d92c61cbce | <|skeleton|>
class Files:
"""Files instance inherits from dict so that .values(), items(), etc. are supported but also allows accessing attributes by dot notation. E.g. FILES.wbm_summary instead of FILES["wbm_summary"]. This enables tab completion in IDEs and auto-updating attribute names across the code base when ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Files:
"""Files instance inherits from dict so that .values(), items(), etc. are supported but also allows accessing attributes by dot notation. E.g. FILES.wbm_summary instead of FILES["wbm_summary"]. This enables tab completion in IDEs and auto-updating attribute names across the code base when changing the ... | the_stack_v2_python_sparse | matbench_discovery/data.py | janosh/matbench-discovery | train | 30 |
370ed2bbce32b684f125d52cd13d20600774bf40 | [
"l = self.find(ControlType='List', exact_level=1, exception_on_find_fail=False, timeout=1)\nif l is None:\n return None\nreturn l.list_items()",
"item_name = str(item_name)\nif self.list_items() is None:\n raise FindFailed('List of ComboBox %s was not found. Is this list collapsed?' % repr(self))\nif wait_w... | <|body_start_0|>
l = self.find(ControlType='List', exact_level=1, exception_on_find_fail=False, timeout=1)
if l is None:
return None
return l.list_items()
<|end_body_0|>
<|body_start_1|>
item_name = str(item_name)
if self.list_items() is None:
raise FindF... | Методы: select_item -- Мышкой выбирает элемент из выпадающего меню. set_value_api -- Через UIA API выставить новое значение (метод из _ValuePattern_methods). get_value -- Переопредеялем метод из _ValuePattern_methods. | ComboBox | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComboBox:
"""Методы: select_item -- Мышкой выбирает элемент из выпадающего меню. set_value_api -- Через UIA API выставить новое значение (метод из _ValuePattern_methods). get_value -- Переопредеялем метод из _ValuePattern_methods."""
def list_items(self):
"""Если меню открыто, то вре... | stack_v2_sparse_classes_75kplus_train_009367 | 5,000 | permissive | [
{
"docstring": "Если меню открыто, то вренут списко объектов, описывающих каждый пункт меню (теоретически, это может быть пустой список). Если меню закрыто, то вернет None.",
"name": "list_items",
"signature": "def list_items(self)"
},
{
"docstring": "Если список ракрыт, то вернут подходящий объ... | 4 | stack_v2_sparse_classes_30k_train_041953 | Implement the Python class `ComboBox` described below.
Class description:
Методы: select_item -- Мышкой выбирает элемент из выпадающего меню. set_value_api -- Через UIA API выставить новое значение (метод из _ValuePattern_methods). get_value -- Переопредеялем метод из _ValuePattern_methods.
Method signatures and docs... | Implement the Python class `ComboBox` described below.
Class description:
Методы: select_item -- Мышкой выбирает элемент из выпадающего меню. set_value_api -- Через UIA API выставить новое значение (метод из _ValuePattern_methods). get_value -- Переопредеялем метод из _ValuePattern_methods.
Method signatures and docs... | b67e33fa51a7bb7252c5ac11651e2f005542f955 | <|skeleton|>
class ComboBox:
"""Методы: select_item -- Мышкой выбирает элемент из выпадающего меню. set_value_api -- Через UIA API выставить новое значение (метод из _ValuePattern_methods). get_value -- Переопредеялем метод из _ValuePattern_methods."""
def list_items(self):
"""Если меню открыто, то вре... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ComboBox:
"""Методы: select_item -- Мышкой выбирает элемент из выпадающего меню. set_value_api -- Через UIA API выставить новое значение (метод из _ValuePattern_methods). get_value -- Переопредеялем метод из _ValuePattern_methods."""
def list_items(self):
"""Если меню открыто, то вренут списко об... | the_stack_v2_python_sparse | pikuli/uia/control_wrappers/combo_box.py | Marti112/pikuli | train | 0 |
3cafc44d35d98bff56c5d27a71a4cf8497bb5d83 | [
"super(MajorityVote, self).__init__(raise_error=raise_error)\nself.threshold = threshold\nself.normalizer = normalizer",
"if len(values) == 0:\n if not raise_error:\n return default\n raise ValueError('cannot pick from empty set')\nvalue, freq = values.most_common(1)[0]\nif self.threshold is not None... | <|body_start_0|>
super(MajorityVote, self).__init__(raise_error=raise_error)
self.threshold = threshold
self.normalizer = normalizer
<|end_body_0|>
<|body_start_1|>
if len(values) == 0:
if not raise_error:
return default
raise ValueError('cannot p... | Majority picker that select the most frequent value. This picker returns the default value (or raises an error) if the given list of values is empty or there are multiple-most frequent values. THe picker allows to define an additional threshold (min. frequency) that the most-frequent value has to satisfy. | MajorityVote | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MajorityVote:
"""Majority picker that select the most frequent value. This picker returns the default value (or raises an error) if the given list of values is empty or there are multiple-most frequent values. THe picker allows to define an additional threshold (min. frequency) that the most-freq... | stack_v2_sparse_classes_75kplus_train_009368 | 11,064 | permissive | [
{
"docstring": "Initialize the optional min. frequency thrshold and normalizer that will be applied to frequency values. Parameters ---------- threshold: float, default=None Additional frequency threshold for the selected value. Ignored if None. normalizer: callable, default=None Normalizer that is applied to t... | 2 | stack_v2_sparse_classes_30k_train_034466 | Implement the Python class `MajorityVote` described below.
Class description:
Majority picker that select the most frequent value. This picker returns the default value (or raises an error) if the given list of values is empty or there are multiple-most frequent values. THe picker allows to define an additional thresh... | Implement the Python class `MajorityVote` described below.
Class description:
Majority picker that select the most frequent value. This picker returns the default value (or raises an error) if the given list of values is empty or there are multiple-most frequent values. THe picker allows to define an additional thresh... | e3d0e04f90468c49f29ca53edc2feb12465c24d5 | <|skeleton|>
class MajorityVote:
"""Majority picker that select the most frequent value. This picker returns the default value (or raises an error) if the given list of values is empty or there are multiple-most frequent values. THe picker allows to define an additional threshold (min. frequency) that the most-freq... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MajorityVote:
"""Majority picker that select the most frequent value. This picker returns the default value (or raises an error) if the given list of values is empty or there are multiple-most frequent values. THe picker allows to define an additional threshold (min. frequency) that the most-frequent value ha... | the_stack_v2_python_sparse | openclean/function/value/picker.py | Denisfench/openclean-core | train | 0 |
a29929e3f679a1a26edf2cd40dbc3ca4d1f47931 | [
"if not nums:\n return None\nhead = 0\ntail = len(nums) - 1\nwhile head <= tail:\n mid = (head + tail) // 2\n if nums[mid] <= nums[mid - 1]:\n return nums[mid]\n elif nums[mid] > nums[mid - 1] and nums[mid] > nums[-1]:\n head = mid + 1\n else:\n tail = mid - 1",
"if not nums:\n... | <|body_start_0|>
if not nums:
return None
head = 0
tail = len(nums) - 1
while head <= tail:
mid = (head + tail) // 2
if nums[mid] <= nums[mid - 1]:
return nums[mid]
elif nums[mid] > nums[mid - 1] and nums[mid] > nums[-1]:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findMin1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findMin2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not nums:
return None
head =... | stack_v2_sparse_classes_75kplus_train_009369 | 914 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findMin1",
"signature": "def findMin1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findMin2",
"signature": "def findMin2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001046 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMin1(self, nums): :type nums: List[int] :rtype: int
- def findMin2(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMin1(self, nums): :type nums: List[int] :rtype: int
- def findMin2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def findMin1(self, nu... | 8fb6c1d947046dabd58ff8482b2c0b41f39aa988 | <|skeleton|>
class Solution:
def findMin1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findMin2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findMin1(self, nums):
""":type nums: List[int] :rtype: int"""
if not nums:
return None
head = 0
tail = len(nums) - 1
while head <= tail:
mid = (head + tail) // 2
if nums[mid] <= nums[mid - 1]:
return nums... | the_stack_v2_python_sparse | Python/LeetCode/153.py | czx94/Algorithms-Collection | train | 2 | |
a6acebb61291716f567fc716a84334a0552fcf38 | [
"if not request.user.is_superuser:\n return HttpResponseForbidden()\nextension = ReviewBotExtension.instance\nuser = get_object_or_404(User, pk=extension.settings.get('user'))\nreturn HttpResponse(json.dumps(_serialize_user(request, user)), content_type='application/json')",
"if not request.user.is_superuser:\... | <|body_start_0|>
if not request.user.is_superuser:
return HttpResponseForbidden()
extension = ReviewBotExtension.instance
user = get_object_or_404(User, pk=extension.settings.get('user'))
return HttpResponse(json.dumps(_serialize_user(request, user)), content_type='applicatio... | An endpoint for setting the user for Review Bot. | ConfigureUserView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigureUserView:
"""An endpoint for setting the user for Review Bot."""
def get(self, request):
"""Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user."""
... | stack_v2_sparse_classes_75kplus_train_009370 | 11,244 | permissive | [
{
"docstring": "Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user.",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Create a new user for Review Bo... | 2 | stack_v2_sparse_classes_30k_train_034900 | Implement the Python class `ConfigureUserView` described below.
Class description:
An endpoint for setting the user for Review Bot.
Method signatures and docstrings:
- def get(self, request): Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A re... | Implement the Python class `ConfigureUserView` described below.
Class description:
An endpoint for setting the user for Review Bot.
Method signatures and docstrings:
- def get(self, request): Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A re... | b59b566e127b5ef1b08f3189f1aa0194b7437d94 | <|skeleton|>
class ConfigureUserView:
"""An endpoint for setting the user for Review Bot."""
def get(self, request):
"""Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfigureUserView:
"""An endpoint for setting the user for Review Bot."""
def get(self, request):
"""Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user."""
if not req... | the_stack_v2_python_sparse | extension/reviewbotext/views.py | reviewboard/ReviewBot | train | 110 |
a548c83b157f27d7ddd7bc12aeed81548e63f3bf | [
"self.model = model\nself.optimizer = optimizer\nself.criteria = criteria\nself.scheduler = scheduler\nself.train = train\nself.test = test\nself.epochs = epochs\nself.lr = lr\nself.device = device\nself.dropout = dropout\nself.scaler = scaler\nself.train_loader = train_loader\nself.test_loader = test_loader\nself.... | <|body_start_0|>
self.model = model
self.optimizer = optimizer
self.criteria = criteria
self.scheduler = scheduler
self.train = train
self.test = test
self.epochs = epochs
self.lr = lr
self.device = device
self.dropout = dropout
sel... | Class to encapsulate model training | Training | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Training:
"""Class to encapsulate model training"""
def __init__(self, model, optimizer, criteria, scheduler, train, test, train_loader, test_loader, lr, epochs, device, dropout, scaler):
"""Initialize Trainer Args: model (Net): Instance of model to be trained optimizer (torch.optim)... | stack_v2_sparse_classes_75kplus_train_009371 | 5,259 | permissive | [
{
"docstring": "Initialize Trainer Args: model (Net): Instance of model to be trained optimizer (torch.optim): Instance of Optimizer used scheduler (Scheduler): Instance of scheduler used train (train): Training function for model test (test): Validation function for model train_loader (DataLoader): Train data ... | 6 | null | Implement the Python class `Training` described below.
Class description:
Class to encapsulate model training
Method signatures and docstrings:
- def __init__(self, model, optimizer, criteria, scheduler, train, test, train_loader, test_loader, lr, epochs, device, dropout, scaler): Initialize Trainer Args: model (Net)... | Implement the Python class `Training` described below.
Class description:
Class to encapsulate model training
Method signatures and docstrings:
- def __init__(self, model, optimizer, criteria, scheduler, train, test, train_loader, test_loader, lr, epochs, device, dropout, scaler): Initialize Trainer Args: model (Net)... | e77a6d035349f4f98141aa7832779dfcbf79a1a8 | <|skeleton|>
class Training:
"""Class to encapsulate model training"""
def __init__(self, model, optimizer, criteria, scheduler, train, test, train_loader, test_loader, lr, epochs, device, dropout, scaler):
"""Initialize Trainer Args: model (Net): Instance of model to be trained optimizer (torch.optim)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Training:
"""Class to encapsulate model training"""
def __init__(self, model, optimizer, criteria, scheduler, train, test, train_loader, test_loader, lr, epochs, device, dropout, scaler):
"""Initialize Trainer Args: model (Net): Instance of model to be trained optimizer (torch.optim): Instance of... | the_stack_v2_python_sparse | woollylib/training.py | woolly-of-cv/pytorch-lib | train | 0 |
6605c256fadef9faf9d1267987bd6a76f069fcb0 | [
"super(DefinitionsIndex, self).__init__(message_method)\nself.index_name = 'oval_definitions'\nself.item_label = 'definition'\nself.schema_dictionary = {'oval_id': whoosh.fields.ID(stored=True, unique=True), 'oval_version': whoosh.fields.STORED(), 'min_schema_version': whoosh.fields.NUMERIC(stored=True), 'title': w... | <|body_start_0|>
super(DefinitionsIndex, self).__init__(message_method)
self.index_name = 'oval_definitions'
self.item_label = 'definition'
self.schema_dictionary = {'oval_id': whoosh.fields.ID(stored=True, unique=True), 'oval_version': whoosh.fields.STORED(), 'min_schema_version': whoos... | A SearchIndex for OVAL definitions. | DefinitionsIndex | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefinitionsIndex:
"""A SearchIndex for OVAL definitions."""
def __init__(self, message_method=False):
"""constructor, set defaults for instances"""
<|body_0|>
def version_to_int(self, version_number):
"""Converts a version number string to a int that can be sorte... | stack_v2_sparse_classes_75kplus_train_009372 | 30,962 | no_license | [
{
"docstring": "constructor, set defaults for instances",
"name": "__init__",
"signature": "def __init__(self, message_method=False)"
},
{
"docstring": "Converts a version number string to a int that can be sorted",
"name": "version_to_int",
"signature": "def version_to_int(self, version... | 3 | stack_v2_sparse_classes_30k_train_048295 | Implement the Python class `DefinitionsIndex` described below.
Class description:
A SearchIndex for OVAL definitions.
Method signatures and docstrings:
- def __init__(self, message_method=False): constructor, set defaults for instances
- def version_to_int(self, version_number): Converts a version number string to a ... | Implement the Python class `DefinitionsIndex` described below.
Class description:
A SearchIndex for OVAL definitions.
Method signatures and docstrings:
- def __init__(self, message_method=False): constructor, set defaults for instances
- def version_to_int(self, version_number): Converts a version number string to a ... | 5546ec1be39fc08d243310fb016467ae98fca591 | <|skeleton|>
class DefinitionsIndex:
"""A SearchIndex for OVAL definitions."""
def __init__(self, message_method=False):
"""constructor, set defaults for instances"""
<|body_0|>
def version_to_int(self, version_number):
"""Converts a version number string to a int that can be sorte... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DefinitionsIndex:
"""A SearchIndex for OVAL definitions."""
def __init__(self, message_method=False):
"""constructor, set defaults for instances"""
super(DefinitionsIndex, self).__init__(message_method)
self.index_name = 'oval_definitions'
self.item_label = 'definition'
... | the_stack_v2_python_sparse | scripts/lib_search.py | CISecurity/OVALRepo | train | 275 |
2b54fd803469bba04987b9341e8ad5533962f61b | [
"self.cohesity_key_vault = cohesity_key_vault\nself.customer_key_vault = customer_key_vault\nself.vault_owner = vault_owner",
"if dictionary is None:\n return None\ncohesity_key_vault = cohesity_management_sdk.models.key_vault_params.KeyVaultParams.from_dictionary(dictionary.get('cohesityKeyVault')) if diction... | <|body_start_0|>
self.cohesity_key_vault = cohesity_key_vault
self.customer_key_vault = customer_key_vault
self.vault_owner = vault_owner
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
cohesity_key_vault = cohesity_management_sdk.models.key_vault_... | Implementation of the 'AzureKmsConfiguration' model. TODO: type description here. Attributes: cohesity_key_vault (KeyVaultParams): Specifies the cohesity managed key vault details. customer_key_vault (KeyVaultParams): Specifies the customer managed key vault details. vault_owner (VaultOwnerEnum): Specifies if its a coh... | AzureKmsConfiguration | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AzureKmsConfiguration:
"""Implementation of the 'AzureKmsConfiguration' model. TODO: type description here. Attributes: cohesity_key_vault (KeyVaultParams): Specifies the cohesity managed key vault details. customer_key_vault (KeyVaultParams): Specifies the customer managed key vault details. vau... | stack_v2_sparse_classes_75kplus_train_009373 | 2,529 | permissive | [
{
"docstring": "Constructor for the AzureKmsConfiguration class",
"name": "__init__",
"signature": "def __init__(self, cohesity_key_vault=None, customer_key_vault=None, vault_owner=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dict... | 2 | null | Implement the Python class `AzureKmsConfiguration` described below.
Class description:
Implementation of the 'AzureKmsConfiguration' model. TODO: type description here. Attributes: cohesity_key_vault (KeyVaultParams): Specifies the cohesity managed key vault details. customer_key_vault (KeyVaultParams): Specifies the ... | Implement the Python class `AzureKmsConfiguration` described below.
Class description:
Implementation of the 'AzureKmsConfiguration' model. TODO: type description here. Attributes: cohesity_key_vault (KeyVaultParams): Specifies the cohesity managed key vault details. customer_key_vault (KeyVaultParams): Specifies the ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class AzureKmsConfiguration:
"""Implementation of the 'AzureKmsConfiguration' model. TODO: type description here. Attributes: cohesity_key_vault (KeyVaultParams): Specifies the cohesity managed key vault details. customer_key_vault (KeyVaultParams): Specifies the customer managed key vault details. vau... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AzureKmsConfiguration:
"""Implementation of the 'AzureKmsConfiguration' model. TODO: type description here. Attributes: cohesity_key_vault (KeyVaultParams): Specifies the cohesity managed key vault details. customer_key_vault (KeyVaultParams): Specifies the customer managed key vault details. vault_owner (Vau... | the_stack_v2_python_sparse | cohesity_management_sdk/models/azure_kms_configuration.py | cohesity/management-sdk-python | train | 24 |
33a11f693f70bd96424e114f882164a34974c53e | [
"responses = []\nfor c in cls.clts:\n request = Request()\n request.set_accept_format('json')\n request.add_query_param('PageNumber', page_num)\n request.add_query_param('PageSize', page_size)\n resp = json.loads(c.do_action(request))\n responses.append([c, resp])\nreturn responses",
"request.se... | <|body_start_0|>
responses = []
for c in cls.clts:
request = Request()
request.set_accept_format('json')
request.add_query_param('PageNumber', page_num)
request.add_query_param('PageSize', page_size)
resp = json.loads(c.do_action(request))
... | Aliyun base class. | AliyunBase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AliyunBase:
"""Aliyun base class."""
def do_request(cls, Request, page_num=1, page_size=100):
"""Send requests to aliyun open APIs. :param Request: aliyun RpcRequest class. :type Request: aliyunsdkcore.request.RpcRequest :param page_num: page number. :type page_num: int :param page_s... | stack_v2_sparse_classes_75kplus_train_009374 | 2,357 | no_license | [
{
"docstring": "Send requests to aliyun open APIs. :param Request: aliyun RpcRequest class. :type Request: aliyunsdkcore.request.RpcRequest :param page_num: page number. :type page_num: int :param page_size: page size. :type page_size: int :return: list of [client, response]. :rtype: list",
"name": "do_requ... | 2 | stack_v2_sparse_classes_30k_train_037581 | Implement the Python class `AliyunBase` described below.
Class description:
Aliyun base class.
Method signatures and docstrings:
- def do_request(cls, Request, page_num=1, page_size=100): Send requests to aliyun open APIs. :param Request: aliyun RpcRequest class. :type Request: aliyunsdkcore.request.RpcRequest :param... | Implement the Python class `AliyunBase` described below.
Class description:
Aliyun base class.
Method signatures and docstrings:
- def do_request(cls, Request, page_num=1, page_size=100): Send requests to aliyun open APIs. :param Request: aliyun RpcRequest class. :type Request: aliyunsdkcore.request.RpcRequest :param... | 03bc651b61fa9d85b09d38c2d57395e7e53d3691 | <|skeleton|>
class AliyunBase:
"""Aliyun base class."""
def do_request(cls, Request, page_num=1, page_size=100):
"""Send requests to aliyun open APIs. :param Request: aliyun RpcRequest class. :type Request: aliyunsdkcore.request.RpcRequest :param page_num: page number. :type page_num: int :param page_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AliyunBase:
"""Aliyun base class."""
def do_request(cls, Request, page_num=1, page_size=100):
"""Send requests to aliyun open APIs. :param Request: aliyun RpcRequest class. :type Request: aliyunsdkcore.request.RpcRequest :param page_num: page number. :type page_num: int :param page_size: page siz... | the_stack_v2_python_sparse | zcmdb/graphCMDB/aliyun/base.py | ri0day/POW | train | 0 |
da94067534fe0d909b4cddfb4a5d47467b9dd595 | [
"global COMPANY_CONN\ncursor = None\ntry:\n n = str(lieGoodsPrice['goods_id'])[-1:]\n cursor = COMPANY_CONN.cursor(buffered=True, dictionary=True)\n sql = 'INSERT INTO lie_goods(goods_id, price) VALUES(%(goods_id)s, %(price)s)'\n cursor.execute(sql, lieGoodsPrice)\n COMPANY_CONN.commit()\nexcept Exce... | <|body_start_0|>
global COMPANY_CONN
cursor = None
try:
n = str(lieGoodsPrice['goods_id'])[-1:]
cursor = COMPANY_CONN.cursor(buffered=True, dictionary=True)
sql = 'INSERT INTO lie_goods(goods_id, price) VALUES(%(goods_id)s, %(price)s)'
cursor.execu... | LieGoodsPrice | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LieGoodsPrice:
def addLieGoodsPrice(cls, lieGoodsPrice):
"""method: addLieGoodsPrice params: lieGoodsPrice-type: LieGoodsPrice"""
<|body_0|>
def get_price_by_goods_id(cls, goods_id):
"""method: get_price_by_goods_id params: goods_id-type: int return: price return-typ... | stack_v2_sparse_classes_75kplus_train_009375 | 13,174 | no_license | [
{
"docstring": "method: addLieGoodsPrice params: lieGoodsPrice-type: LieGoodsPrice",
"name": "addLieGoodsPrice",
"signature": "def addLieGoodsPrice(cls, lieGoodsPrice)"
},
{
"docstring": "method: get_price_by_goods_id params: goods_id-type: int return: price return-type: str json",
"name": "... | 2 | stack_v2_sparse_classes_30k_train_029801 | Implement the Python class `LieGoodsPrice` described below.
Class description:
Implement the LieGoodsPrice class.
Method signatures and docstrings:
- def addLieGoodsPrice(cls, lieGoodsPrice): method: addLieGoodsPrice params: lieGoodsPrice-type: LieGoodsPrice
- def get_price_by_goods_id(cls, goods_id): method: get_pri... | Implement the Python class `LieGoodsPrice` described below.
Class description:
Implement the LieGoodsPrice class.
Method signatures and docstrings:
- def addLieGoodsPrice(cls, lieGoodsPrice): method: addLieGoodsPrice params: lieGoodsPrice-type: LieGoodsPrice
- def get_price_by_goods_id(cls, goods_id): method: get_pri... | 1e49a6e13ea4b11427f47999c13a609be9ae3ecf | <|skeleton|>
class LieGoodsPrice:
def addLieGoodsPrice(cls, lieGoodsPrice):
"""method: addLieGoodsPrice params: lieGoodsPrice-type: LieGoodsPrice"""
<|body_0|>
def get_price_by_goods_id(cls, goods_id):
"""method: get_price_by_goods_id params: goods_id-type: int return: price return-typ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LieGoodsPrice:
def addLieGoodsPrice(cls, lieGoodsPrice):
"""method: addLieGoodsPrice params: lieGoodsPrice-type: LieGoodsPrice"""
global COMPANY_CONN
cursor = None
try:
n = str(lieGoodsPrice['goods_id'])[-1:]
cursor = COMPANY_CONN.cursor(buffered=True, d... | the_stack_v2_python_sparse | rsonline/server/db/company/mysql_client.py | yunhao-qing/PythonScrapy | train | 0 | |
9601099aeb23c6effaa1c726a3cd6e6a0d2e52be | [
"if x < 0:\n return False\nif x < 10:\n return True\nl = []\nl.append(x % 10)\nx //= 10\nwhile x != 0:\n l.append(x % 10)\n x //= 10\nleft = 0\nright = len(l) - 1\nwhile left <= right:\n if l[left] != l[right]:\n return False\n left += 1\n right -= 1\nreturn True",
"if x < 0:\n retu... | <|body_start_0|>
if x < 0:
return False
if x < 10:
return True
l = []
l.append(x % 10)
x //= 10
while x != 0:
l.append(x % 10)
x //= 10
left = 0
right = len(l) - 1
while left <= right:
if ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome0(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if x < 0:
return False
if x < 10:
... | stack_v2_sparse_classes_75kplus_train_009376 | 1,118 | no_license | [
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
},
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome0",
"signature": "def isPalindrome0(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_025263 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindrome0(self, x): :type x: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindrome0(self, x): :type x: int :rtype: bool
<|skeleton|>
class Solution:
def isPalindrome(self, x):
... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome0(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
if x < 0:
return False
if x < 10:
return True
l = []
l.append(x % 10)
x //= 10
while x != 0:
l.append(x % 10)
x //= 10
left = 0
... | the_stack_v2_python_sparse | 9.回文数.py | yangyuxiang1996/leetcode | train | 0 | |
b209ed0df65fe260e7679c9ded3bde43e22a9afd | [
"self.max_frames = int(sr * sec)\nself.n_split = n_split\nself.is_label = is_label\nself.n_class = 24",
"waves = [b['wave'] for b in batch]\nframe_lengths = np.array([wave.shape[0] for wave in waves])\nhop_size = np.array([max((frame_length - self.max_frames) // (self.n_split - 1), 1) for frame_length in frame_le... | <|body_start_0|>
self.max_frames = int(sr * sec)
self.n_split = n_split
self.is_label = is_label
self.n_class = 24
<|end_body_0|>
<|body_start_1|>
waves = [b['wave'] for b in batch]
frame_lengths = np.array([wave.shape[0] for wave in waves])
hop_size = np.array([... | Customized collater for Pytorch DataLoader for wave form data in evaluation. | WaveEvalCollater | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WaveEvalCollater:
"""Customized collater for Pytorch DataLoader for wave form data in evaluation."""
def __init__(self, sr=48000, sec=10.0, n_split=7, is_label=False):
"""Initialize customized collater for PyTorch DataLoader. Args: max_frames (int): The max size of wave frame. n_spli... | stack_v2_sparse_classes_75kplus_train_009377 | 17,227 | no_license | [
{
"docstring": "Initialize customized collater for PyTorch DataLoader. Args: max_frames (int): The max size of wave frame. n_split (int): The number of split eval data to apply the model.",
"name": "__init__",
"signature": "def __init__(self, sr=48000, sec=10.0, n_split=7, is_label=False)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_018057 | Implement the Python class `WaveEvalCollater` described below.
Class description:
Customized collater for Pytorch DataLoader for wave form data in evaluation.
Method signatures and docstrings:
- def __init__(self, sr=48000, sec=10.0, n_split=7, is_label=False): Initialize customized collater for PyTorch DataLoader. A... | Implement the Python class `WaveEvalCollater` described below.
Class description:
Customized collater for Pytorch DataLoader for wave form data in evaluation.
Method signatures and docstrings:
- def __init__(self, sr=48000, sec=10.0, n_split=7, is_label=False): Initialize customized collater for PyTorch DataLoader. A... | f4ec03b3f7d08e3e67706b972bc0d61b88c903a9 | <|skeleton|>
class WaveEvalCollater:
"""Customized collater for Pytorch DataLoader for wave form data in evaluation."""
def __init__(self, sr=48000, sec=10.0, n_split=7, is_label=False):
"""Initialize customized collater for PyTorch DataLoader. Args: max_frames (int): The max size of wave frame. n_spli... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WaveEvalCollater:
"""Customized collater for Pytorch DataLoader for wave form data in evaluation."""
def __init__(self, sr=48000, sec=10.0, n_split=7, is_label=False):
"""Initialize customized collater for PyTorch DataLoader. Args: max_frames (int): The max size of wave frame. n_split (int): The ... | the_stack_v2_python_sparse | input/modules/datasets/collater_fn.py | ibkuroyagi/birdclef-2021 | train | 0 |
69a13ed9ba9cdc05b7657536beb4828588ea1d3b | [
"self.ole_version = None\nself.format_id = None\nself.class_name = None\nself.topic_name = None\nself.item_name = None\nself.data = None\nself.data_size = None\nif bindata is not None:\n self.parse(bindata)",
"index = 0\nself.ole_version, index = read_uint32(data, index)\nself.format_id, index = read_uint32(da... | <|body_start_0|>
self.ole_version = None
self.format_id = None
self.class_name = None
self.topic_name = None
self.item_name = None
self.data = None
self.data_size = None
if bindata is not None:
self.parse(bindata)
<|end_body_0|>
<|body_start_1... | OLE 1.0 Object see MS-OLEDS 2.2 OLE1.0 Format Structures | OleObject | [
"MIT",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OleObject:
"""OLE 1.0 Object see MS-OLEDS 2.2 OLE1.0 Format Structures"""
def __init__(self, bindata=None):
"""Constructor for OleObject. If bindata is provided, it will be parsed using the parse() method. :param bindata: bytes, OLE 1.0 Object structure containing OLE object Note: Co... | stack_v2_sparse_classes_75kplus_train_009378 | 41,058 | permissive | [
{
"docstring": "Constructor for OleObject. If bindata is provided, it will be parsed using the parse() method. :param bindata: bytes, OLE 1.0 Object structure containing OLE object Note: Code can easily by generalized to work with byte streams instead of arrays just like in OleNativeStream.",
"name": "__ini... | 2 | stack_v2_sparse_classes_30k_train_010076 | Implement the Python class `OleObject` described below.
Class description:
OLE 1.0 Object see MS-OLEDS 2.2 OLE1.0 Format Structures
Method signatures and docstrings:
- def __init__(self, bindata=None): Constructor for OleObject. If bindata is provided, it will be parsed using the parse() method. :param bindata: bytes... | Implement the Python class `OleObject` described below.
Class description:
OLE 1.0 Object see MS-OLEDS 2.2 OLE1.0 Format Structures
Method signatures and docstrings:
- def __init__(self, bindata=None): Constructor for OleObject. If bindata is provided, it will be parsed using the parse() method. :param bindata: bytes... | fb4546ec1be5f46d53856161e46ea53d7b7e532a | <|skeleton|>
class OleObject:
"""OLE 1.0 Object see MS-OLEDS 2.2 OLE1.0 Format Structures"""
def __init__(self, bindata=None):
"""Constructor for OleObject. If bindata is provided, it will be parsed using the parse() method. :param bindata: bytes, OLE 1.0 Object structure containing OLE object Note: Co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OleObject:
"""OLE 1.0 Object see MS-OLEDS 2.2 OLE1.0 Format Structures"""
def __init__(self, bindata=None):
"""Constructor for OleObject. If bindata is provided, it will be parsed using the parse() method. :param bindata: bytes, OLE 1.0 Object structure containing OLE object Note: Code can easily... | the_stack_v2_python_sparse | oletools/oleobj.py | decalage2/oletools | train | 2,601 |
14dccef513cd0ad11ec43fdbc81e4be9fee48c21 | [
"event_type = self._GetJSONValue(json_dict, 'type')\nif not event_type:\n parser_mediator.ProduceExtractionWarning('Missing event type.')\n return\nif event_type not in ('access', 'networkActivity'):\n parser_mediator.ProduceExtractionWarning('Unsupported event type: {0:s}.'.format(event_type))\n return... | <|body_start_0|>
event_type = self._GetJSONValue(json_dict, 'type')
if not event_type:
parser_mediator.ProduceExtractionWarning('Missing event type.')
return
if event_type not in ('access', 'networkActivity'):
parser_mediator.ProduceExtractionWarning('Unsuppor... | JSON-L parser plugin for iOS application privacy report files. | IOSAppPrivacPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IOSAppPrivacPlugin:
"""JSON-L parser plugin for iOS application privacy report files."""
def _ParseRecord(self, parser_mediator, json_dict):
"""Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other com... | stack_v2_sparse_classes_75kplus_train_009379 | 5,927 | permissive | [
{
"docstring": "Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfVFS. json_dict (dict): JSON dictionary of the log record.",
"name": "_ParseRecord",
"signature": "def _ParseRecord(se... | 4 | stack_v2_sparse_classes_30k_train_014062 | Implement the Python class `IOSAppPrivacPlugin` described below.
Class description:
JSON-L parser plugin for iOS application privacy report files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, json_dict): Parses an iOS application privacy report record. Args: parser_mediator (ParserMedia... | Implement the Python class `IOSAppPrivacPlugin` described below.
Class description:
JSON-L parser plugin for iOS application privacy report files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, json_dict): Parses an iOS application privacy report record. Args: parser_mediator (ParserMedia... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class IOSAppPrivacPlugin:
"""JSON-L parser plugin for iOS application privacy report files."""
def _ParseRecord(self, parser_mediator, json_dict):
"""Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other com... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IOSAppPrivacPlugin:
"""JSON-L parser plugin for iOS application privacy report files."""
def _ParseRecord(self, parser_mediator, json_dict):
"""Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such... | the_stack_v2_python_sparse | plaso/parsers/jsonl_plugins/ios_app_privacy.py | log2timeline/plaso | train | 1,506 |
19bc98cea88c15bfa271dbb33b989e493b6d3943 | [
"self.env = env\nself.devices = [dev for dev in self.env.id_map.values() if hasattr(dev, 'hw') and hasattr(dev.hw, 'stress_tool_attributes')]\nself.workers = get_workers(workers)\nif self.workers:\n self.workers['time'] = None",
"for dev in self.devices:\n try:\n dev.ui.start_workload(**self.workers)... | <|body_start_0|>
self.env = env
self.devices = [dev for dev in self.env.id_map.values() if hasattr(dev, 'hw') and hasattr(dev.hw, 'stress_tool_attributes')]
self.workers = get_workers(workers)
if self.workers:
self.workers['time'] = None
<|end_body_0|>
<|body_start_1|>
... | Main functionality for workload manipulation. | WorkloadContinuous | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkloadContinuous:
"""Main functionality for workload manipulation."""
def __init__(self, env, workers):
"""Initialize WorkloadContinuous object instance. Args: env(testlib.common3.Environment): TAF environment instance"""
<|body_0|>
def start_on_nodes(self):
""... | stack_v2_sparse_classes_75kplus_train_009380 | 10,313 | permissive | [
{
"docstring": "Initialize WorkloadContinuous object instance. Args: env(testlib.common3.Environment): TAF environment instance",
"name": "__init__",
"signature": "def __init__(self, env, workers)"
},
{
"docstring": "Start workload on devices.",
"name": "start_on_nodes",
"signature": "de... | 5 | stack_v2_sparse_classes_30k_train_044517 | Implement the Python class `WorkloadContinuous` described below.
Class description:
Main functionality for workload manipulation.
Method signatures and docstrings:
- def __init__(self, env, workers): Initialize WorkloadContinuous object instance. Args: env(testlib.common3.Environment): TAF environment instance
- def ... | Implement the Python class `WorkloadContinuous` described below.
Class description:
Main functionality for workload manipulation.
Method signatures and docstrings:
- def __init__(self, env, workers): Initialize WorkloadContinuous object instance. Args: env(testlib.common3.Environment): TAF environment instance
- def ... | 2007bf3fe66edfe704e485141c55caed54fe13aa | <|skeleton|>
class WorkloadContinuous:
"""Main functionality for workload manipulation."""
def __init__(self, env, workers):
"""Initialize WorkloadContinuous object instance. Args: env(testlib.common3.Environment): TAF environment instance"""
<|body_0|>
def start_on_nodes(self):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WorkloadContinuous:
"""Main functionality for workload manipulation."""
def __init__(self, env, workers):
"""Initialize WorkloadContinuous object instance. Args: env(testlib.common3.Environment): TAF environment instance"""
self.env = env
self.devices = [dev for dev in self.env.id... | the_stack_v2_python_sparse | taf/plugins/pytest_workload.py | AndriyZabavskyy/taf | train | 0 |
3285a3a3afb701d9b908bf18a2352aea90698329 | [
"patterns = [re_path('^list/(?P<customer_id>\\\\d+)/$', self.wrapper(self.show_view), name=self.get_url_list_name), re_path('^add/(?P<customer_id>\\\\d+)/$', self.wrapper(self.add_view), name=self.get_url_add_name), re_path('^edit/(?P<customer_id>\\\\d+)/(?P<pk>\\\\d+)/$', self.wrapper(self.edit_view), name=self.ge... | <|body_start_0|>
patterns = [re_path('^list/(?P<customer_id>\\d+)/$', self.wrapper(self.show_view), name=self.get_url_list_name), re_path('^add/(?P<customer_id>\\d+)/$', self.wrapper(self.add_view), name=self.get_url_add_name), re_path('^edit/(?P<customer_id>\\d+)/(?P<pk>\\d+)/$', self.wrapper(self.edit_view), ... | RecordHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecordHandler:
def get_urls(self):
"""自定制记录相关的url"""
<|body_0|>
def get_queryset(self, request, *args, **kwargs):
"""根据前端的数据，获取到的具体参数--customer_id 特别提示：当前用户只能操作当前用户中的客户记录的增删改查，而不能查看别人的或操作公户中的数据信息 customer__consultant_id=cur_user_id过滤条件"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus_train_009381 | 3,805 | no_license | [
{
"docstring": "自定制记录相关的url",
"name": "get_urls",
"signature": "def get_urls(self)"
},
{
"docstring": "根据前端的数据，获取到的具体参数--customer_id 特别提示：当前用户只能操作当前用户中的客户记录的增删改查，而不能查看别人的或操作公户中的数据信息 customer__consultant_id=cur_user_id过滤条件",
"name": "get_queryset",
"signature": "def get_queryset(self, req... | 6 | null | Implement the Python class `RecordHandler` described below.
Class description:
Implement the RecordHandler class.
Method signatures and docstrings:
- def get_urls(self): 自定制记录相关的url
- def get_queryset(self, request, *args, **kwargs): 根据前端的数据，获取到的具体参数--customer_id 特别提示：当前用户只能操作当前用户中的客户记录的增删改查，而不能查看别人的或操作公户中的数据信息 custo... | Implement the Python class `RecordHandler` described below.
Class description:
Implement the RecordHandler class.
Method signatures and docstrings:
- def get_urls(self): 自定制记录相关的url
- def get_queryset(self, request, *args, **kwargs): 根据前端的数据，获取到的具体参数--customer_id 特别提示：当前用户只能操作当前用户中的客户记录的增删改查，而不能查看别人的或操作公户中的数据信息 custo... | fb405ab7fa2fd8fce2cc6bdb4bd78bc62dcce794 | <|skeleton|>
class RecordHandler:
def get_urls(self):
"""自定制记录相关的url"""
<|body_0|>
def get_queryset(self, request, *args, **kwargs):
"""根据前端的数据，获取到的具体参数--customer_id 特别提示：当前用户只能操作当前用户中的客户记录的增删改查，而不能查看别人的或操作公户中的数据信息 customer__consultant_id=cur_user_id过滤条件"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RecordHandler:
def get_urls(self):
"""自定制记录相关的url"""
patterns = [re_path('^list/(?P<customer_id>\\d+)/$', self.wrapper(self.show_view), name=self.get_url_list_name), re_path('^add/(?P<customer_id>\\d+)/$', self.wrapper(self.add_view), name=self.get_url_add_name), re_path('^edit/(?P<customer_id... | the_stack_v2_python_sparse | crm/crm_pro/web/views/cousult_record.py | peterliuu/crm | train | 0 | |
c75220f239cf52d9054987f0b836c58a5d78f5f7 | [
"super(LongCalculation, self).__init__(job, 'Cancel', 0, 0)\nself.setModal(True)\nself.input = Queue()\nself.output = Queue()\nself.input.put((fun, args, postprocess))\nself.proc = Process(target=worker, args=(self.input, self.output))\nself.proc.start()\nself.timer = QTimer()\nself.timer.timeout.connect(self.updat... | <|body_start_0|>
super(LongCalculation, self).__init__(job, 'Cancel', 0, 0)
self.setModal(True)
self.input = Queue()
self.output = Queue()
self.input.put((fun, args, postprocess))
self.proc = Process(target=worker, args=(self.input, self.output))
self.proc.start()... | Multiprocessing based worker for mesh and eigenvalue calculations. This is necessary to make sure GUI is not blocked while mesh is built, or when eigenvalue calculations are performed. Transformations do not need as much time, unless there is one implemented without numpy vectorized coordinate calculations. | LongCalculation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LongCalculation:
"""Multiprocessing based worker for mesh and eigenvalue calculations. This is necessary to make sure GUI is not blocked while mesh is built, or when eigenvalue calculations are performed. Transformations do not need as much time, unless there is one implemented without numpy vect... | stack_v2_sparse_classes_75kplus_train_009382 | 2,888 | no_license | [
{
"docstring": "Build multiprocessing queues and start worker.",
"name": "__init__",
"signature": "def __init__(self, fun, args, postprocess, job)"
},
{
"docstring": "Check if worker is done, and close dialog.",
"name": "update",
"signature": "def update(self)"
},
{
"docstring": ... | 3 | stack_v2_sparse_classes_30k_train_042662 | Implement the Python class `LongCalculation` described below.
Class description:
Multiprocessing based worker for mesh and eigenvalue calculations. This is necessary to make sure GUI is not blocked while mesh is built, or when eigenvalue calculations are performed. Transformations do not need as much time, unless ther... | Implement the Python class `LongCalculation` described below.
Class description:
Multiprocessing based worker for mesh and eigenvalue calculations. This is necessary to make sure GUI is not blocked while mesh is built, or when eigenvalue calculations are performed. Transformations do not need as much time, unless ther... | 4a3256ff5454b7aa556aee1d66927bb8361910c5 | <|skeleton|>
class LongCalculation:
"""Multiprocessing based worker for mesh and eigenvalue calculations. This is necessary to make sure GUI is not blocked while mesh is built, or when eigenvalue calculations are performed. Transformations do not need as much time, unless there is one implemented without numpy vect... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LongCalculation:
"""Multiprocessing based worker for mesh and eigenvalue calculations. This is necessary to make sure GUI is not blocked while mesh is built, or when eigenvalue calculations are performed. Transformations do not need as much time, unless there is one implemented without numpy vectorized coordi... | the_stack_v2_python_sparse | longcalc.py | cas91010491/Eigenvalues | train | 1 |
218589999e0dde76e41ece6493f21865600684cf | [
"dp, ans = ([0] * len(s), 0)\nfor i in range(1, len(s)):\n if s[i] == ')':\n if s[i - 1] == '(':\n dp[i] = dp[i - 2] + 2 if i >= 2 else 2\n elif i - dp[i - 1] > 0 and s[i - dp[i - 1] - 1] == '(':\n dp[i] = dp[i - 1] + (dp[i - dp[i - 1] - 2] if i - dp[i - 1] >= 2 else 0) + 2\n ... | <|body_start_0|>
dp, ans = ([0] * len(s), 0)
for i in range(1, len(s)):
if s[i] == ')':
if s[i - 1] == '(':
dp[i] = dp[i - 2] + 2 if i >= 2 else 2
elif i - dp[i - 1] > 0 and s[i - dp[i - 1] - 1] == '(':
dp[i] = dp[i - 1]... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longest_valid_parentheses_dp(self, s):
"""Dynamic Programming: Time: O(n), Space: O(n) Idea: Define dp[i] = Length of the longest sub-string which ends at i-th index. Then: 1. dp[i] = 0 if s[i] == '(' because it won't be a valid string 2. dp[i] = dp[i - 2] + 2 if s[i] == ')... | stack_v2_sparse_classes_75kplus_train_009383 | 2,926 | no_license | [
{
"docstring": "Dynamic Programming: Time: O(n), Space: O(n) Idea: Define dp[i] = Length of the longest sub-string which ends at i-th index. Then: 1. dp[i] = 0 if s[i] == '(' because it won't be a valid string 2. dp[i] = dp[i - 2] + 2 if s[i] == ')' and s[i - i] == '(' 3. dp[i] = dp[i - 1] + dp[i - dp[i - 1] - ... | 3 | stack_v2_sparse_classes_30k_train_042543 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longest_valid_parentheses_dp(self, s): Dynamic Programming: Time: O(n), Space: O(n) Idea: Define dp[i] = Length of the longest sub-string which ends at i-th index. Then: 1. d... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longest_valid_parentheses_dp(self, s): Dynamic Programming: Time: O(n), Space: O(n) Idea: Define dp[i] = Length of the longest sub-string which ends at i-th index. Then: 1. d... | 33252434f8d90b46fd2de07e257842331dcd81a8 | <|skeleton|>
class Solution:
def longest_valid_parentheses_dp(self, s):
"""Dynamic Programming: Time: O(n), Space: O(n) Idea: Define dp[i] = Length of the longest sub-string which ends at i-th index. Then: 1. dp[i] = 0 if s[i] == '(' because it won't be a valid string 2. dp[i] = dp[i - 2] + 2 if s[i] == ')... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longest_valid_parentheses_dp(self, s):
"""Dynamic Programming: Time: O(n), Space: O(n) Idea: Define dp[i] = Length of the longest sub-string which ends at i-th index. Then: 1. dp[i] = 0 if s[i] == '(' because it won't be a valid string 2. dp[i] = dp[i - 2] + 2 if s[i] == ')' and s[i - i]... | the_stack_v2_python_sparse | main/leetcode/32.py | dawnonme/Eureka | train | 0 | |
169c0220e5f8d60ed2230f6b6be185b662e73fa3 | [
"assert sum(gammas.values()) == 1, 'gammas must add up to 1'\nself.gammas = gammas\nself.hyperparameters = hyperparameters",
"K = 0\nK = K + self.gammas['linear'] * lk(x_i=x_i, x_j=x_j)\nK = K + self.gammas['gaussian'] * gk(x_i=x_i, x_j=x_j, sigma=self.hyperparameters['gaussian'])\nK = K + self.gammas['polynomial... | <|body_start_0|>
assert sum(gammas.values()) == 1, 'gammas must add up to 1'
self.gammas = gammas
self.hyperparameters = hyperparameters
<|end_body_0|>
<|body_start_1|>
K = 0
K = K + self.gammas['linear'] * lk(x_i=x_i, x_j=x_j)
K = K + self.gammas['gaussian'] * gk(x_i=x_... | Class that contains the implementation of Multi Kernel with Fixed Rules | MultiKernelfixedrules | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiKernelfixedrules:
"""Class that contains the implementation of Multi Kernel with Fixed Rules"""
def __init__(self, gammas, hyperparameters):
"""Function to initialize certain parameters required for the class Args: gammas = The static weights for each class hyperparameters = The... | stack_v2_sparse_classes_75kplus_train_009384 | 5,996 | no_license | [
{
"docstring": "Function to initialize certain parameters required for the class Args: gammas = The static weights for each class hyperparameters = The values for the \"q\" and \"sigma\" in polynomial and Gaussian kernel respectively",
"name": "__init__",
"signature": "def __init__(self, gammas, hyperpa... | 3 | null | Implement the Python class `MultiKernelfixedrules` described below.
Class description:
Class that contains the implementation of Multi Kernel with Fixed Rules
Method signatures and docstrings:
- def __init__(self, gammas, hyperparameters): Function to initialize certain parameters required for the class Args: gammas ... | Implement the Python class `MultiKernelfixedrules` described below.
Class description:
Class that contains the implementation of Multi Kernel with Fixed Rules
Method signatures and docstrings:
- def __init__(self, gammas, hyperparameters): Function to initialize certain parameters required for the class Args: gammas ... | d6da949ea9f6c6edd89b26ec6bf9198b4d41962d | <|skeleton|>
class MultiKernelfixedrules:
"""Class that contains the implementation of Multi Kernel with Fixed Rules"""
def __init__(self, gammas, hyperparameters):
"""Function to initialize certain parameters required for the class Args: gammas = The static weights for each class hyperparameters = The... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiKernelfixedrules:
"""Class that contains the implementation of Multi Kernel with Fixed Rules"""
def __init__(self, gammas, hyperparameters):
"""Function to initialize certain parameters required for the class Args: gammas = The static weights for each class hyperparameters = The values for t... | the_stack_v2_python_sparse | Programming-Assignment-1/Question4/multi_kernels.py | vishwakftw/CS6510-AML | train | 0 |
5f440a899da988eee813e52019ee88b6be330be3 | [
"params = {} if params is None else params\nparams.update({'type': params.get('type', 'hive')})\nwith self.post(create_url('/v3/schedule/create/{name}', name=name), params) as res:\n code, body = (res.status, res.read())\n if code != 200:\n self.raise_error('Create schedule failed', res, body)\n js ... | <|body_start_0|>
params = {} if params is None else params
params.update({'type': params.get('type', 'hive')})
with self.post(create_url('/v3/schedule/create/{name}', name=name), params) as res:
code, body = (res.status, res.read())
if code != 200:
self.ra... | Access to Schedule API This class is inherited by :class:`tdclient.api.API`. | ScheduleAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScheduleAPI:
"""Access to Schedule API This class is inherited by :class:`tdclient.api.API`."""
def create_schedule(self, name, params=None):
"""Create a new scheduled query with the specified name. Args: name (str): Scheduled query name. params (dict, optional): Extra parameters. - ... | stack_v2_sparse_classes_75kplus_train_009385 | 9,750 | permissive | [
{
"docstring": "Create a new scheduled query with the specified name. Args: name (str): Scheduled query name. params (dict, optional): Extra parameters. - type (str): Query type. {\"presto\", \"hive\"}. Default: \"hive\" - database (str): Target database name. - timezone (str): Scheduled query's timezone. e.g. ... | 6 | stack_v2_sparse_classes_30k_train_007132 | Implement the Python class `ScheduleAPI` described below.
Class description:
Access to Schedule API This class is inherited by :class:`tdclient.api.API`.
Method signatures and docstrings:
- def create_schedule(self, name, params=None): Create a new scheduled query with the specified name. Args: name (str): Scheduled ... | Implement the Python class `ScheduleAPI` described below.
Class description:
Access to Schedule API This class is inherited by :class:`tdclient.api.API`.
Method signatures and docstrings:
- def create_schedule(self, name, params=None): Create a new scheduled query with the specified name. Args: name (str): Scheduled ... | aa6b1ffe886483cf4a41557d7e72063e49d6c787 | <|skeleton|>
class ScheduleAPI:
"""Access to Schedule API This class is inherited by :class:`tdclient.api.API`."""
def create_schedule(self, name, params=None):
"""Create a new scheduled query with the specified name. Args: name (str): Scheduled query name. params (dict, optional): Extra parameters. - ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScheduleAPI:
"""Access to Schedule API This class is inherited by :class:`tdclient.api.API`."""
def create_schedule(self, name, params=None):
"""Create a new scheduled query with the specified name. Args: name (str): Scheduled query name. params (dict, optional): Extra parameters. - type (str): Q... | the_stack_v2_python_sparse | tdclient/schedule_api.py | treasure-data/td-client-python | train | 41 |
b00baeeea21f8769456e03bacbb89fed027f136c | [
"threading.Thread.__init__(self, name='cleaner')\nself.queues = queue\nself.date_time = date_time\nlname = '{}.{}'.format(__name__, 'clean')\nself._logger = logging.getLogger(lname)\nself._logger.debug('Initialized cleaner thread')",
"for t in self.date_time:\n for v in self.queues.keys():\n self.queues... | <|body_start_0|>
threading.Thread.__init__(self, name='cleaner')
self.queues = queue
self.date_time = date_time
lname = '{}.{}'.format(__name__, 'clean')
self._logger = logging.getLogger(lname)
self._logger.debug('Initialized cleaner thread')
<|end_body_0|>
<|body_start_... | QueueCleaner that will go through all the queues and check if they all have a date in common. When this occurs, all the threads will have processed that time step and it's not longer needed | QueueCleaner | [
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-public-domain",
"CC0-1.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QueueCleaner:
"""QueueCleaner that will go through all the queues and check if they all have a date in common. When this occurs, all the threads will have processed that time step and it's not longer needed"""
def __init__(self, date_time, queue):
"""Args: date_time: array of date_ti... | stack_v2_sparse_classes_75kplus_train_009386 | 9,600 | permissive | [
{
"docstring": "Args: date_time: array of date_time queue: dict of the queue",
"name": "__init__",
"signature": "def __init__(self, date_time, queue)"
},
{
"docstring": "Go through the date times and look for when all the queues have that date_time",
"name": "run",
"signature": "def run(... | 2 | stack_v2_sparse_classes_30k_train_005721 | Implement the Python class `QueueCleaner` described below.
Class description:
QueueCleaner that will go through all the queues and check if they all have a date in common. When this occurs, all the threads will have processed that time step and it's not longer needed
Method signatures and docstrings:
- def __init__(s... | Implement the Python class `QueueCleaner` described below.
Class description:
QueueCleaner that will go through all the queues and check if they all have a date in common. When this occurs, all the threads will have processed that time step and it's not longer needed
Method signatures and docstrings:
- def __init__(s... | 465d42cca85820e76a50bc311d101c7dc506df8c | <|skeleton|>
class QueueCleaner:
"""QueueCleaner that will go through all the queues and check if they all have a date in common. When this occurs, all the threads will have processed that time step and it's not longer needed"""
def __init__(self, date_time, queue):
"""Args: date_time: array of date_ti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QueueCleaner:
"""QueueCleaner that will go through all the queues and check if they all have a date in common. When this occurs, all the threads will have processed that time step and it's not longer needed"""
def __init__(self, date_time, queue):
"""Args: date_time: array of date_time queue: dic... | the_stack_v2_python_sparse | smrf/utils/queue.py | USDA-ARS-NWRC/smrf | train | 9 |
4b4163e1eca0a5a521cd743c8ecbe6d1c932fdd9 | [
"self.vartypes = vartypes\nself.kertypes = dict(c=config.conti_kertype, o=config.ordered_kertype, u=config.unordered_kertype)\nself.bw_methods = dict(c=config.conti_bw_method, o=config.ordered_bw_method, u=config.unordered_bw_method)\nself.conti_bw_temperature = config.conti_bw_temperature\nself._fit(data_ref)",
... | <|body_start_0|>
self.vartypes = vartypes
self.kertypes = dict(c=config.conti_kertype, o=config.ordered_kertype, u=config.unordered_kertype)
self.bw_methods = dict(c=config.conti_bw_method, o=config.ordered_bw_method, u=config.unordered_bw_method)
self.conti_bw_temperature = config.conti... | Product kernel object. Notes: Bandwidth methods: ``statsmodels.nonparametric.bandwidths``: https://www.statsmodels.org/devel/_modules/statsmodels/nonparametric/bandwidths.html | VanillaProductKernel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VanillaProductKernel:
"""Product kernel object. Notes: Bandwidth methods: ``statsmodels.nonparametric.bandwidths``: https://www.statsmodels.org/devel/_modules/statsmodels/nonparametric/bandwidths.html"""
def __init__(self, data_ref: np.ndarray, vartypes: str, config: VanillaProductKernelConf... | stack_v2_sparse_classes_75kplus_train_009387 | 9,714 | permissive | [
{
"docstring": "Constructor. Parameters: data_ref : Reference data points for which the kernel values are computed. vartypes : The variable type ('c': continuous, 'o': ordered, 'u': unordered). Example: ``'ccou'``. product_kernel_config : the configuration object.",
"name": "__init__",
"signature": "def... | 3 | stack_v2_sparse_classes_30k_train_042846 | Implement the Python class `VanillaProductKernel` described below.
Class description:
Product kernel object. Notes: Bandwidth methods: ``statsmodels.nonparametric.bandwidths``: https://www.statsmodels.org/devel/_modules/statsmodels/nonparametric/bandwidths.html
Method signatures and docstrings:
- def __init__(self, d... | Implement the Python class `VanillaProductKernel` described below.
Class description:
Product kernel object. Notes: Bandwidth methods: ``statsmodels.nonparametric.bandwidths``: https://www.statsmodels.org/devel/_modules/statsmodels/nonparametric/bandwidths.html
Method signatures and docstrings:
- def __init__(self, d... | 11eb7b4bb9c39672ece6177e321f63ce205e0307 | <|skeleton|>
class VanillaProductKernel:
"""Product kernel object. Notes: Bandwidth methods: ``statsmodels.nonparametric.bandwidths``: https://www.statsmodels.org/devel/_modules/statsmodels/nonparametric/bandwidths.html"""
def __init__(self, data_ref: np.ndarray, vartypes: str, config: VanillaProductKernelConf... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VanillaProductKernel:
"""Product kernel object. Notes: Bandwidth methods: ``statsmodels.nonparametric.bandwidths``: https://www.statsmodels.org/devel/_modules/statsmodels/nonparametric/bandwidths.html"""
def __init__(self, data_ref: np.ndarray, vartypes: str, config: VanillaProductKernelConfig=VanillaPro... | the_stack_v2_python_sparse | causal_data_augmentation/causal_data_augmentation/augmenter/admg_tian_augmenter/util/weight_computer/kernel_fn/vanilla.py | diadochos/incorporating-causal-graphical-prior-knowledge-into-predictive-modeling-via-simple-data-augmentation | train | 0 |
13293c47421694a7f4bf05ee9ac8e6031d99a854 | [
"queryset = super(ResourceListView, self).get_queryset()\nquery = self.request.GET.get('query', None)\ngroup_id = self.request.GET.get('group_id', None)\nfile_type = self.request.GET.get('file_type', None)\nqueryset = queryset.filter(groups__in=self.request.user.groups_joined)\nif query:\n queryset = queryset.fi... | <|body_start_0|>
queryset = super(ResourceListView, self).get_queryset()
query = self.request.GET.get('query', None)
group_id = self.request.GET.get('group_id', None)
file_type = self.request.GET.get('file_type', None)
queryset = queryset.filter(groups__in=self.request.user.group... | View for listing Resources. | ResourceListView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceListView:
"""View for listing Resources."""
def get_queryset(self):
"""Limit resources to ones posted to groups a user is a member of."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Update view context"""
<|body_1|>
<|end_skeleton|>
<|bo... | stack_v2_sparse_classes_75kplus_train_009388 | 5,832 | permissive | [
{
"docstring": "Limit resources to ones posted to groups a user is a member of.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "Update view context",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042984 | Implement the Python class `ResourceListView` described below.
Class description:
View for listing Resources.
Method signatures and docstrings:
- def get_queryset(self): Limit resources to ones posted to groups a user is a member of.
- def get_context_data(self, **kwargs): Update view context | Implement the Python class `ResourceListView` described below.
Class description:
View for listing Resources.
Method signatures and docstrings:
- def get_queryset(self): Limit resources to ones posted to groups a user is a member of.
- def get_context_data(self, **kwargs): Update view context
<|skeleton|>
class Reso... | a56c0f89df82694bf5db32a04d8b092974791972 | <|skeleton|>
class ResourceListView:
"""View for listing Resources."""
def get_queryset(self):
"""Limit resources to ones posted to groups a user is a member of."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Update view context"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResourceListView:
"""View for listing Resources."""
def get_queryset(self):
"""Limit resources to ones posted to groups a user is a member of."""
queryset = super(ResourceListView, self).get_queryset()
query = self.request.GET.get('query', None)
group_id = self.request.GET... | the_stack_v2_python_sparse | open_connect/resources/views.py | ofa/connect | train | 66 |
ebf76420f3873e687371e29f074708814bb132ff | [
"option_view = '\\n 1. 列出所有学生\\n 2. 查询\\n '\nprint('学生信息系统'.center(cls.width, '='))\nprint(option_view)\nnumber = input('请选择(Ctrl + c 退出):')\nfunc_dict = {'1': cls.list_student, '2': cls.search}\nif number not in func_dict.keys():\n raise Exception('【提示】:输入有误, 请重新选择')\nfunc = func_dict[numbe... | <|body_start_0|>
option_view = '\n 1. 列出所有学生\n 2. 查询\n '
print('学生信息系统'.center(cls.width, '='))
print(option_view)
number = input('请选择(Ctrl + c 退出):')
func_dict = {'1': cls.list_student, '2': cls.search}
if number not in func_dict.keys():
... | View | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class View:
def menu(cls):
"""主菜单"""
<|body_0|>
def list_student(cls):
"""列出所有学生"""
<|body_1|>
def search(cls):
"""查询"""
<|body_2|>
def search_student(cls):
"""查询学生信息"""
<|body_3|>
def search_score(cls):
"""查询成... | stack_v2_sparse_classes_75kplus_train_009389 | 3,327 | no_license | [
{
"docstring": "主菜单",
"name": "menu",
"signature": "def menu(cls)"
},
{
"docstring": "列出所有学生",
"name": "list_student",
"signature": "def list_student(cls)"
},
{
"docstring": "查询",
"name": "search",
"signature": "def search(cls)"
},
{
"docstring": "查询学生信息",
"na... | 5 | stack_v2_sparse_classes_30k_train_000681 | Implement the Python class `View` described below.
Class description:
Implement the View class.
Method signatures and docstrings:
- def menu(cls): 主菜单
- def list_student(cls): 列出所有学生
- def search(cls): 查询
- def search_student(cls): 查询学生信息
- def search_score(cls): 查询成绩 | Implement the Python class `View` described below.
Class description:
Implement the View class.
Method signatures and docstrings:
- def menu(cls): 主菜单
- def list_student(cls): 列出所有学生
- def search(cls): 查询
- def search_student(cls): 查询学生信息
- def search_score(cls): 查询成绩
<|skeleton|>
class View:
def menu(cls):
... | b7f29743883739e3b298d49a170f367944ee0d9a | <|skeleton|>
class View:
def menu(cls):
"""主菜单"""
<|body_0|>
def list_student(cls):
"""列出所有学生"""
<|body_1|>
def search(cls):
"""查询"""
<|body_2|>
def search_student(cls):
"""查询学生信息"""
<|body_3|>
def search_score(cls):
"""查询成... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class View:
def menu(cls):
"""主菜单"""
option_view = '\n 1. 列出所有学生\n 2. 查询\n '
print('学生信息系统'.center(cls.width, '='))
print(option_view)
number = input('请选择(Ctrl + c 退出):')
func_dict = {'1': cls.list_student, '2': cls.search}
if number not i... | the_stack_v2_python_sparse | 16-17/01_界面/src/view.py | ucookie/basic-python | train | 0 | |
b8b9cbdd0d22beb943304524fd5bce94486a25d7 | [
"self.capacity = capacity\nself.l = DoublyLL()\nself.d = {}",
"try:\n n = self.d[key]\nexcept KeyError:\n return -1\nself.l.Remove(n)\nself.l.InsertFirst(n)\nreturn n.value",
"if key in self.d:\n node = self.d[key]\n self.l.Remove(node)\n self.l.InsertFirst(node)\n node.value = value\nelse:\n ... | <|body_start_0|>
self.capacity = capacity
self.l = DoublyLL()
self.d = {}
<|end_body_0|>
<|body_start_1|>
try:
n = self.d[key]
except KeyError:
return -1
self.l.Remove(n)
self.l.InsertFirst(n)
return n.value
<|end_body_1|>
<|body_... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_009390 | 2,641 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_train_017945 | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | 786e1597b18cf5f16df0a3d7dfa0b80c1435de4d | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.l = DoublyLL()
self.d = {}
def get(self, key):
""":type key: int :rtype: int"""
try:
n = self.d[key]
except KeyError:
return -1
... | the_stack_v2_python_sparse | No_146_LRU_Cache.py | georgewashingturd/leetcode | train | 0 | |
4880c4ec6aedda01753fb907e133501d10badef7 | [
"if (d, f, target) in self.memo:\n return self.memo[d, f, target]\nmod = 10 ** 9 + 7\nif target < d or target > d * f:\n return 0\nif d == 0:\n return 1 if target == 0 else 0\nself.memo[d, f, target] = sum((self.numRollsToTarget(d - 1, f, target - x) for x in range(1, f + 1))) % mod\nreturn self.memo[d, f,... | <|body_start_0|>
if (d, f, target) in self.memo:
return self.memo[d, f, target]
mod = 10 ** 9 + 7
if target < d or target > d * f:
return 0
if d == 0:
return 1 if target == 0 else 0
self.memo[d, f, target] = sum((self.numRollsToTarget(d - 1, f,... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numRollsToTarget(self, d, f, target):
""":type d: int :type f: int :type target: int :rtype: int"""
<|body_0|>
def numRollsToTarget_1(self, d, f, target):
""":type d: int :type f: int :type target: int :rtype: int"""
<|body_1|>
def numRolls... | stack_v2_sparse_classes_75kplus_train_009391 | 4,009 | no_license | [
{
"docstring": ":type d: int :type f: int :type target: int :rtype: int",
"name": "numRollsToTarget",
"signature": "def numRollsToTarget(self, d, f, target)"
},
{
"docstring": ":type d: int :type f: int :type target: int :rtype: int",
"name": "numRollsToTarget_1",
"signature": "def numRo... | 3 | stack_v2_sparse_classes_30k_train_049875 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numRollsToTarget(self, d, f, target): :type d: int :type f: int :type target: int :rtype: int
- def numRollsToTarget_1(self, d, f, target): :type d: int :type f: int :type ta... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numRollsToTarget(self, d, f, target): :type d: int :type f: int :type target: int :rtype: int
- def numRollsToTarget_1(self, d, f, target): :type d: int :type f: int :type ta... | 3d9e0ad2f6ed92ec969556f75d97c51ea4854719 | <|skeleton|>
class Solution:
def numRollsToTarget(self, d, f, target):
""":type d: int :type f: int :type target: int :rtype: int"""
<|body_0|>
def numRollsToTarget_1(self, d, f, target):
""":type d: int :type f: int :type target: int :rtype: int"""
<|body_1|>
def numRolls... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numRollsToTarget(self, d, f, target):
""":type d: int :type f: int :type target: int :rtype: int"""
if (d, f, target) in self.memo:
return self.memo[d, f, target]
mod = 10 ** 9 + 7
if target < d or target > d * f:
return 0
if d == 0... | the_stack_v2_python_sparse | Solutions/1155_numRollsToTarget.py | YoupengLi/leetcode-sorting | train | 3 | |
e125e655a8febcb816ca069eaaa3bbd2076ae4e7 | [
"super(GroupNormStatic, self).__init__()\nself.num_groups = num_groups\nself.num_channels = num_channels\nself.group_norm = nn.GroupNorm(4 * num_groups, 4 * num_channels, eps)",
"batch_size = x.shape[0]\nx = x.view(batch_size, 4 * self.num_channels, -1)\nx = self.group_norm(x)\nx = x.view(batch_size, 4, self.num_... | <|body_start_0|>
super(GroupNormStatic, self).__init__()
self.num_groups = num_groups
self.num_channels = num_channels
self.group_norm = nn.GroupNorm(4 * num_groups, 4 * num_channels, eps)
<|end_body_0|>
<|body_start_1|>
batch_size = x.shape[0]
x = x.view(batch_size, 4 *... | Group normalization layer with an independent scale and bias factor for each instrument | GroupNormStatic | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroupNormStatic:
"""Group normalization layer with an independent scale and bias factor for each instrument"""
def __init__(self, _, __, num_groups, num_channels, eps=1e-08):
"""Arguments: num_groups {int} -- Number of normalized groups num_channels {int} -- Number of channels Keywor... | stack_v2_sparse_classes_75kplus_train_009392 | 37,269 | no_license | [
{
"docstring": "Arguments: num_groups {int} -- Number of normalized groups num_channels {int} -- Number of channels Keyword Arguments: eps {int} -- Constant for numerical stability (default: {1e-8})",
"name": "__init__",
"signature": "def __init__(self, _, __, num_groups, num_channels, eps=1e-08)"
},
... | 2 | stack_v2_sparse_classes_30k_train_005190 | Implement the Python class `GroupNormStatic` described below.
Class description:
Group normalization layer with an independent scale and bias factor for each instrument
Method signatures and docstrings:
- def __init__(self, _, __, num_groups, num_channels, eps=1e-08): Arguments: num_groups {int} -- Number of normaliz... | Implement the Python class `GroupNormStatic` described below.
Class description:
Group normalization layer with an independent scale and bias factor for each instrument
Method signatures and docstrings:
- def __init__(self, _, __, num_groups, num_channels, eps=1e-08): Arguments: num_groups {int} -- Number of normaliz... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class GroupNormStatic:
"""Group normalization layer with an independent scale and bias factor for each instrument"""
def __init__(self, _, __, num_groups, num_channels, eps=1e-08):
"""Arguments: num_groups {int} -- Number of normalized groups num_channels {int} -- Number of channels Keywor... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GroupNormStatic:
"""Group normalization layer with an independent scale and bias factor for each instrument"""
def __init__(self, _, __, num_groups, num_channels, eps=1e-08):
"""Arguments: num_groups {int} -- Number of normalized groups num_channels {int} -- Number of channels Keyword Arguments: ... | the_stack_v2_python_sparse | generated/test_pfnet_research_meta_tasnet.py | jansel/pytorch-jit-paritybench | train | 35 |
08e67d9eecf2d713de08fc743d78acf82e33dc21 | [
"slow, fast = (nums[0], nums[nums[0]])\nwhile slow != fast:\n slow = nums[slow]\n fast = nums[nums[fast]]\nslow = 0\nwhile slow != fast:\n slow = nums[slow]\n fast = nums[fast]\nreturn slow",
"n = len(nums) - 1\nans = 0\nleft, right = (1, n)\nwhile left <= right:\n mid = (left + right) / 2\n cnt... | <|body_start_0|>
slow, fast = (nums[0], nums[nums[0]])
while slow != fast:
slow = nums[slow]
fast = nums[nums[fast]]
slow = 0
while slow != fast:
slow = nums[slow]
fast = nums[fast]
return slow
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findDuplicate(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findDuplicate_binary_search(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
slow, fast = (nums[0], nums... | stack_v2_sparse_classes_75kplus_train_009393 | 1,668 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findDuplicate",
"signature": "def findDuplicate(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findDuplicate_binary_search",
"signature": "def findDuplicate_binary_search(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021912 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDuplicate(self, nums): :type nums: List[int] :rtype: int
- def findDuplicate_binary_search(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDuplicate(self, nums): :type nums: List[int] :rtype: int
- def findDuplicate_binary_search(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
... | 0a7aa09a2b95e4caca5b5123fb735ceb5c01e992 | <|skeleton|>
class Solution:
def findDuplicate(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findDuplicate_binary_search(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findDuplicate(self, nums):
""":type nums: List[int] :rtype: int"""
slow, fast = (nums[0], nums[nums[0]])
while slow != fast:
slow = nums[slow]
fast = nums[nums[fast]]
slow = 0
while slow != fast:
slow = nums[slow]
... | the_stack_v2_python_sparse | find-the-duplicate-number.py | onestarshang/leetcode | train | 0 | |
a45746e7aad9986e913794ba933c4b344595fc6b | [
"handshake_protocols = data.get('handshake_protocols')\nrequests_attach = data.get('requests_attach')\nif not handshake_protocols and (not requests_attach):\n raise ValidationError('Model must include non-empty handshake_protocols or requests~attach or both')\ngoal = data.get('goal')\ngoal_code = data.get('goal_... | <|body_start_0|>
handshake_protocols = data.get('handshake_protocols')
requests_attach = data.get('requests_attach')
if not handshake_protocols and (not requests_attach):
raise ValidationError('Model must include non-empty handshake_protocols or requests~attach or both')
goal... | InvitationMessage schema. | InvitationMessageSchema | [
"LicenseRef-scancode-dco-1.1",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InvitationMessageSchema:
"""InvitationMessage schema."""
def validate_fields(self, data, **kwargs):
"""Validate schema fields. Args: data: The data to validate Raises: ValidationError: If any of the fields do not validate"""
<|body_0|>
def post_dump(self, data, **kwargs)... | stack_v2_sparse_classes_75kplus_train_009394 | 10,410 | permissive | [
{
"docstring": "Validate schema fields. Args: data: The data to validate Raises: ValidationError: If any of the fields do not validate",
"name": "validate_fields",
"signature": "def validate_fields(self, data, **kwargs)"
},
{
"docstring": "Post dump hook.",
"name": "post_dump",
"signatur... | 2 | stack_v2_sparse_classes_30k_val_001495 | Implement the Python class `InvitationMessageSchema` described below.
Class description:
InvitationMessage schema.
Method signatures and docstrings:
- def validate_fields(self, data, **kwargs): Validate schema fields. Args: data: The data to validate Raises: ValidationError: If any of the fields do not validate
- def... | Implement the Python class `InvitationMessageSchema` described below.
Class description:
InvitationMessage schema.
Method signatures and docstrings:
- def validate_fields(self, data, **kwargs): Validate schema fields. Args: data: The data to validate Raises: ValidationError: If any of the fields do not validate
- def... | 39cac36d8937ce84a9307ce100aaefb8bc05ec04 | <|skeleton|>
class InvitationMessageSchema:
"""InvitationMessage schema."""
def validate_fields(self, data, **kwargs):
"""Validate schema fields. Args: data: The data to validate Raises: ValidationError: If any of the fields do not validate"""
<|body_0|>
def post_dump(self, data, **kwargs)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InvitationMessageSchema:
"""InvitationMessage schema."""
def validate_fields(self, data, **kwargs):
"""Validate schema fields. Args: data: The data to validate Raises: ValidationError: If any of the fields do not validate"""
handshake_protocols = data.get('handshake_protocols')
re... | the_stack_v2_python_sparse | aries_cloudagent/protocols/out_of_band/v1_0/messages/invitation.py | hyperledger/aries-cloudagent-python | train | 370 |
4454ff3432561f8a37f7dd982561532643992654 | [
"super().__init__(self.PARAMS, parameters)\nself.summary_name = parameters['summary_name']\nself.summary_filename = parameters['summary_filename']\nself.tags = parameters['tags']\nself.append_timecode = parameters.get('append_timecode', False)\nself.expand_context = parameters.get('expand_context', False)",
"df_n... | <|body_start_0|>
super().__init__(self.PARAMS, parameters)
self.summary_name = parameters['summary_name']
self.summary_filename = parameters['summary_filename']
self.tags = parameters['tags']
self.append_timecode = parameters.get('append_timecode', False)
self.expand_cont... | Summarize the HED tags in collection of tabular files. Required remodeling parameters: - **summary_name** (*str*): The name of the summary. - **summary_filename** (*str*): Base filename of the summary. - **tags** (*dict*): Type tag to get_summary separately (e.g. 'condition-variable' or 'task'). Optional remodeling par... | SummarizeHedTagsOp | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SummarizeHedTagsOp:
"""Summarize the HED tags in collection of tabular files. Required remodeling parameters: - **summary_name** (*str*): The name of the summary. - **summary_filename** (*str*): Base filename of the summary. - **tags** (*dict*): Type tag to get_summary separately (e.g. 'condition... | stack_v2_sparse_classes_75kplus_train_009395 | 9,731 | permissive | [
{
"docstring": "Constructor for the summarize hed tags operation. Parameters: parameters (dict): Dictionary with the parameter values for required and optional parameters. :raises KeyError: - If a required parameter is missing. - If an unexpected parameter is provided. :raises TypeError: - If a parameter has th... | 2 | stack_v2_sparse_classes_30k_train_023937 | Implement the Python class `SummarizeHedTagsOp` described below.
Class description:
Summarize the HED tags in collection of tabular files. Required remodeling parameters: - **summary_name** (*str*): The name of the summary. - **summary_filename** (*str*): Base filename of the summary. - **tags** (*dict*): Type tag to ... | Implement the Python class `SummarizeHedTagsOp` described below.
Class description:
Summarize the HED tags in collection of tabular files. Required remodeling parameters: - **summary_name** (*str*): The name of the summary. - **summary_filename** (*str*): Base filename of the summary. - **tags** (*dict*): Type tag to ... | b871cae44bdf0ee68c688562c3b0af50b93343f5 | <|skeleton|>
class SummarizeHedTagsOp:
"""Summarize the HED tags in collection of tabular files. Required remodeling parameters: - **summary_name** (*str*): The name of the summary. - **summary_filename** (*str*): Base filename of the summary. - **tags** (*dict*): Type tag to get_summary separately (e.g. 'condition... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SummarizeHedTagsOp:
"""Summarize the HED tags in collection of tabular files. Required remodeling parameters: - **summary_name** (*str*): The name of the summary. - **summary_filename** (*str*): Base filename of the summary. - **tags** (*dict*): Type tag to get_summary separately (e.g. 'condition-variable' or... | the_stack_v2_python_sparse | hed/tools/remodeling/operations/summarize_hed_tags_op.py | hed-standard/hed-python | train | 5 |
10c82d658621ac8c1ce4a3c277b33e1a551cc4c5 | [
"if not head or not head.next:\n return True\nslow = head\nfast = head\npre = None\nwhile fast and fast.next:\n pre = slow\n slow = slow.next\n fast = fast.next.next\npre.next = None\nslow = self.reverse(slow)\nwhile slow and head:\n if slow.val != head.val:\n return False\n slow = slow.nex... | <|body_start_0|>
if not head or not head.next:
return True
slow = head
fast = head
pre = None
while fast and fast.next:
pre = slow
slow = slow.next
fast = fast.next.next
pre.next = None
slow = self.reverse(slow)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def reverse(self, head):
""":param head: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head or not head.next:
return True
... | stack_v2_sparse_classes_75kplus_train_009396 | 1,350 | no_license | [
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, head)"
},
{
"docstring": ":param head: :return:",
"name": "reverse",
"signature": "def reverse(self, head)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, head): :type head: ListNode :rtype: bool
- def reverse(self, head): :param head: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, head): :type head: ListNode :rtype: bool
- def reverse(self, head): :param head: :return:
<|skeleton|>
class Solution:
def isPalindrome(self, head):
... | a75310a96d2b165b15d5ee10ec409a17cdc880ba | <|skeleton|>
class Solution:
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def reverse(self, head):
""":param head: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
if not head or not head.next:
return True
slow = head
fast = head
pre = None
while fast and fast.next:
pre = slow
slow = slow.next
fas... | the_stack_v2_python_sparse | leetcode/offer/review/234.py | skyxyz-lang/CS_Note | train | 0 | |
e78985733443a28033ee1b07d656ca07809b5506 | [
"train_indices = np.where(train_mask)[0]\ntest_indices = np.where(test_mask)[0]\nval_indices = np.where(val_mask)[0]\nunlabeled_mask = np.logical_not(train_mask | test_mask | val_mask)\nunlabeled_indices = np.where(unlabeled_mask)[0]\nif row_normalize:\n features = PlanetoidDataset.preprocess_features(features)\... | <|body_start_0|>
train_indices = np.where(train_mask)[0]
test_indices = np.where(test_mask)[0]
val_indices = np.where(val_mask)[0]
unlabeled_mask = np.logical_not(train_mask | test_mask | val_mask)
unlabeled_indices = np.where(unlabeled_mask)[0]
if row_normalize:
... | Data container for Planetoid datasets. | PlanetoidDataset | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlanetoidDataset:
"""Data container for Planetoid datasets."""
def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False):
"""Build from adjacency matrix."""
<|body_0|>
def preprocess_features(features):
"""... | stack_v2_sparse_classes_75kplus_train_009397 | 32,682 | permissive | [
{
"docstring": "Build from adjacency matrix.",
"name": "build_from_adjacency_matrix",
"signature": "def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False)"
},
{
"docstring": "Row-normalize feature matrix.",
"name": "preprocess_featu... | 2 | stack_v2_sparse_classes_30k_train_009619 | Implement the Python class `PlanetoidDataset` described below.
Class description:
Data container for Planetoid datasets.
Method signatures and docstrings:
- def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False): Build from adjacency matrix.
- def preprocess... | Implement the Python class `PlanetoidDataset` described below.
Class description:
Data container for Planetoid datasets.
Method signatures and docstrings:
- def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False): Build from adjacency matrix.
- def preprocess... | 995064233479e806a3187ede8a395319520db75e | <|skeleton|>
class PlanetoidDataset:
"""Data container for Planetoid datasets."""
def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False):
"""Build from adjacency matrix."""
<|body_0|>
def preprocess_features(features):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PlanetoidDataset:
"""Data container for Planetoid datasets."""
def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False):
"""Build from adjacency matrix."""
train_indices = np.where(train_mask)[0]
test_indices = np.where(tes... | the_stack_v2_python_sparse | research/gam/gam/data/dataset.py | RubensZimbres/neural-structured-learning | train | 1 |
b9eed33de91db854fc9bd164b167cff6259a019b | [
"try:\n ho = HomePage(self.driver)\n ho.small_knowlege()\n so = SmallPage(self.driver)\n so.random_play()\nexcept:\n po = Operation(self.driver)\n po.screenShot()\n raise LocateError()",
"try:\n ho = HomePage(self.driver)\n ho.small_knowlege()\n so = SmallPage(self.driver)\n so.Su... | <|body_start_0|>
try:
ho = HomePage(self.driver)
ho.small_knowlege()
so = SmallPage(self.driver)
so.random_play()
except:
po = Operation(self.driver)
po.screenShot()
raise LocateError()
<|end_body_0|>
<|body_start_1|>
... | SmallTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SmallTest:
def test_Arangdom_play(self):
"""首页--小知识--随机播放"""
<|body_0|>
def test_BSubscribe_ok(self):
"""首页--小知识--订阅成功"""
<|body_1|>
def test_CSubscribe_noCancel(self):
"""首页--小知识--暂不取消订阅"""
<|body_2|>
def test_DSubscribe_cancel(self... | stack_v2_sparse_classes_75kplus_train_009398 | 2,297 | no_license | [
{
"docstring": "首页--小知识--随机播放",
"name": "test_Arangdom_play",
"signature": "def test_Arangdom_play(self)"
},
{
"docstring": "首页--小知识--订阅成功",
"name": "test_BSubscribe_ok",
"signature": "def test_BSubscribe_ok(self)"
},
{
"docstring": "首页--小知识--暂不取消订阅",
"name": "test_CSubscribe... | 5 | stack_v2_sparse_classes_30k_train_023073 | Implement the Python class `SmallTest` described below.
Class description:
Implement the SmallTest class.
Method signatures and docstrings:
- def test_Arangdom_play(self): 首页--小知识--随机播放
- def test_BSubscribe_ok(self): 首页--小知识--订阅成功
- def test_CSubscribe_noCancel(self): 首页--小知识--暂不取消订阅
- def test_DSubscribe_cancel(sel... | Implement the Python class `SmallTest` described below.
Class description:
Implement the SmallTest class.
Method signatures and docstrings:
- def test_Arangdom_play(self): 首页--小知识--随机播放
- def test_BSubscribe_ok(self): 首页--小知识--订阅成功
- def test_CSubscribe_noCancel(self): 首页--小知识--暂不取消订阅
- def test_DSubscribe_cancel(sel... | 1a7d0cafc286963c304219cbf7ac3af0eef2cba4 | <|skeleton|>
class SmallTest:
def test_Arangdom_play(self):
"""首页--小知识--随机播放"""
<|body_0|>
def test_BSubscribe_ok(self):
"""首页--小知识--订阅成功"""
<|body_1|>
def test_CSubscribe_noCancel(self):
"""首页--小知识--暂不取消订阅"""
<|body_2|>
def test_DSubscribe_cancel(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SmallTest:
def test_Arangdom_play(self):
"""首页--小知识--随机播放"""
try:
ho = HomePage(self.driver)
ho.small_knowlege()
so = SmallPage(self.driver)
so.random_play()
except:
po = Operation(self.driver)
po.screenShot()
... | the_stack_v2_python_sparse | Testcase/SmallTest.py | Hanlen520/AndroidUIautoTest-1 | train | 0 | |
769927f73ce205762c9d42f02f081081f09b6cba | [
"path = self.path\npage_name = path[1:]\nif page_name == 'pokemon_page.css':\n content_type = 'text/css'\n contents = '.status_line {\\n margin-top: 30px;\\n margin-bottom: 30px;\\n margin-left: 20px;\\n border: 2px solid #006600;\\n padding: 10... | <|body_start_0|>
path = self.path
page_name = path[1:]
if page_name == 'pokemon_page.css':
content_type = 'text/css'
contents = '.status_line {\n margin-top: 30px;\n margin-bottom: 30px;\n margin-left: 20px;\n border: 2p... | Handles application-specific web page construction and user actions. get_router and post_router methods tell the server how to deal with requests. | pokemon_handler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class pokemon_handler:
"""Handles application-specific web page construction and user actions. get_router and post_router methods tell the server how to deal with requests."""
def get_router(self):
"""Generates a GET request response, e.g. from rendered .html templates. Returns a tuple, co... | stack_v2_sparse_classes_75kplus_train_009399 | 13,618 | no_license | [
{
"docstring": "Generates a GET request response, e.g. from rendered .html templates. Returns a tuple, content_type (e.g.: html or css) and contents. If url not found, returns string for 404 error message.",
"name": "get_router",
"signature": "def get_router(self)"
},
{
"docstring": "Processes a... | 2 | stack_v2_sparse_classes_30k_train_022799 | Implement the Python class `pokemon_handler` described below.
Class description:
Handles application-specific web page construction and user actions. get_router and post_router methods tell the server how to deal with requests.
Method signatures and docstrings:
- def get_router(self): Generates a GET request response... | Implement the Python class `pokemon_handler` described below.
Class description:
Handles application-specific web page construction and user actions. get_router and post_router methods tell the server how to deal with requests.
Method signatures and docstrings:
- def get_router(self): Generates a GET request response... | da32aa41c50f4baa11e35c838ccf3c78e0e8fa4b | <|skeleton|>
class pokemon_handler:
"""Handles application-specific web page construction and user actions. get_router and post_router methods tell the server how to deal with requests."""
def get_router(self):
"""Generates a GET request response, e.g. from rendered .html templates. Returns a tuple, co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class pokemon_handler:
"""Handles application-specific web page construction and user actions. get_router and post_router methods tell the server how to deal with requests."""
def get_router(self):
"""Generates a GET request response, e.g. from rendered .html templates. Returns a tuple, content_type (e... | the_stack_v2_python_sparse | 15. Tabular view/application_code.py | ElAwbery/Lucky_Egg | train | 2 |
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