hybrid-diff-ar/stack-v2-sparse-classes-75kplus

2c8a7388339745243238b4d5af28053188297fae

[ "OCRequest.__init__(self)\nself.host_ip = os_pub_ip\nself.tenant_id = tenant_id\nself.tenant_token = tenant_token", "_url = 'http://' + self.host_ip + ':8004/v1/' + self.tenant_id + '/stacks'\n_headers = {'Content-type': 'application/json', 'x-auth-token': self.tenant_token}\n_body = None\nresponse = self.request...

<|body_start_0|> OCRequest.__init__(self) self.host_ip = os_pub_ip self.tenant_id = tenant_id self.tenant_token = tenant_token <|end_body_0|> <|body_start_1|> _url = 'http://' + self.host_ip + ':8004/v1/' + self.tenant_id + '/stacks' _headers = {'Content-type': 'applicat...

This class contains basic operation on stack like stack list, show, stack resource list, etc.

HeatLibrary

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class HeatLibrary: """This class contains basic operation on stack like stack list, show, stack resource list, etc.""" def __init__(self, os_pub_ip, tenant_id, tenant_token): """It requires the ID and token of the tenant.""" <|body_0|> def stack_list(self): """To get t...

stack_v2_sparse_classes_75kplus_train_001500

6,881

no_license

[ { "docstring": "It requires the ID and token of the tenant.", "name": "__init__", "signature": "def __init__(self, os_pub_ip, tenant_id, tenant_token)" }, { "docstring": "To get the list of created stacks. Return: List of all stacks created in the tenant.", "name": "stack_list", "signatu...

6

stack_v2_sparse_classes_30k_train_019876

Implement the Python class `HeatLibrary` described below. Class description: This class contains basic operation on stack like stack list, show, stack resource list, etc. Method signatures and docstrings: - def __init__(self, os_pub_ip, tenant_id, tenant_token): It requires the ID and token of the tenant. - def stack...

cd5f98de9b82ffeb267e9f2e1fd9c84a3c24d7bf

<|skeleton|> class HeatLibrary: """This class contains basic operation on stack like stack list, show, stack resource list, etc.""" def __init__(self, os_pub_ip, tenant_id, tenant_token): """It requires the ID and token of the tenant.""" <|body_0|> def stack_list(self): """To get t...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class HeatLibrary: """This class contains basic operation on stack like stack list, show, stack resource list, etc.""" def __init__(self, os_pub_ip, tenant_id, tenant_token): """It requires the ID and token of the tenant.""" OCRequest.__init__(self) self.host_ip = os_pub_ip self...

the_stack_v2_python_sparse

merge-master-fw-norule/ATF/atf/lib/lib_heat.py

deekshithpatnala/nsd_atf

train

0

1e7c09fbab53137d472dc26fb752c5fe458a4540

[ "BaseResource.__init__(self, *args, **kw)\nself._rsc = eval(open('%s.txt' % self.basesourcefile, 'r').read().replace('\\r\\n', '\\n'))\nself._code = open('%s.py' % self.basesourcefile, 'r').read()", "fle = open(os.path.join(basedir, self.name) + '.rsrc.py', 'w')\nlog.info(\"Writing '%s'\" % os.path.join(basedir, ...

Represents a Python Card resource object

Resource

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001501

2,155

permissive

[ { "docstring": "Initialize the PythonCard resource", "name": "__init__", "signature": "def __init__(self, *args, **kw)" }, { "docstring": "Write ourselves out to a directory", "name": "writeToFile", "signature": "def writeToFile(self, basedir, write_code=0)" } ]

2

stack_v2_sparse_classes_30k_train_034496

Implement the Python class `Resource` described below. Class description: Represents a Python Card resource object Method signatures and docstrings: - def __init__(self, *args, **kw): Initialize the PythonCard resource - def writeToFile(self, basedir, write_code=0): Write ourselves out to a directory

Implement the Python class `Resource` described below. Class description: Represents a Python Card resource object Method signatures and docstrings: - def __init__(self, *args, **kw): Initialize the PythonCard resource - def writeToFile(self, basedir, write_code=0): Write ourselves out to a directory <|skeleton|> cl...

847ce71e85093ea5ee668ec61dbfba760ffa6bbd

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Resource: """Represents a Python Card resource object""" def __init__(self, *args, **kw): """Initialize the PythonCard resource""" BaseResource.__init__(self, *args, **kw) self._rsc = eval(open('%s.txt' % self.basesourcefile, 'r').read().replace('\r\n', '\n')) self._code =...

the_stack_v2_python_sparse

vb2py/targets/pythoncard/resource.py

rayzamgh/sumurProjection

train

1

1a1b4036aa581d87abc3673229fef35287eeef37

[ "tfrecord_cache_files = dataset_util.get_cache_files_coco(data_dir, cache_dir)\nif not tfrecord_cache_files.is_cached():\n label_map = dataset_util.get_label_map_coco(data_dir)\n cache_writer = dataset_util.COCOCacheFilesWriter(label_map=label_map, max_num_images=max_num_images)\n cache_writer.write_files(...

<|body_start_0|> tfrecord_cache_files = dataset_util.get_cache_files_coco(data_dir, cache_dir) if not tfrecord_cache_files.is_cached(): label_map = dataset_util.get_label_map_coco(data_dir) cache_writer = dataset_util.COCOCacheFilesWriter(label_map=label_map, max_num_images=max_n...

Dataset library for object detector.

Dataset

[ "Apache-2.0", "dtoa" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Dataset: """Dataset library for object detector.""" def from_coco_folder(cls, data_dir: str, max_num_images: Optional[int]=None, cache_dir: Optional[str]=None) -> 'Dataset': """Loads images and labels from the given directory in COCO format. - https://cocodataset.org/#home Folder str...

stack_v2_sparse_classes_75kplus_train_001502

6,432

permissive

[ { "docstring": "Loads images and labels from the given directory in COCO format. - https://cocodataset.org/#home Folder structure should be: <data_dir>/ images/ <file0>.jpg ... labels.json The `labels.json` annotations file should should have the following format: { \"categories\": [{\"id\": 0, \"name\": \"back...

3

stack_v2_sparse_classes_30k_train_006043

Implement the Python class `Dataset` described below. Class description: Dataset library for object detector. Method signatures and docstrings: - def from_coco_folder(cls, data_dir: str, max_num_images: Optional[int]=None, cache_dir: Optional[str]=None) -> 'Dataset': Loads images and labels from the given directory i...

007824594bf1d07c7c1467df03a43886f8a4b3ad

<|skeleton|> class Dataset: """Dataset library for object detector.""" def from_coco_folder(cls, data_dir: str, max_num_images: Optional[int]=None, cache_dir: Optional[str]=None) -> 'Dataset': """Loads images and labels from the given directory in COCO format. - https://cocodataset.org/#home Folder str...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Dataset: """Dataset library for object detector.""" def from_coco_folder(cls, data_dir: str, max_num_images: Optional[int]=None, cache_dir: Optional[str]=None) -> 'Dataset': """Loads images and labels from the given directory in COCO format. - https://cocodataset.org/#home Folder structure should...

the_stack_v2_python_sparse

mediapipe/model_maker/python/vision/object_detector/dataset.py

google/mediapipe

train

23,940

39ca9ce0e74aaddfe5b6ff9f8d6b85641d882ce7

[ "if not elemental_features:\n elemental_features = [preset.e_coh, preset.G, preset.a0, preset.ar, preset.mean_delta_bl, preset.mean_bl]\nif not structural_features:\n structural_features = [preset.d_gb, preset.d_rot, preset.sin_theta, preset.cos_theta]\nself.elem_features = elemental_features\nself.struc_feat...

<|body_start_0|> if not elemental_features: elemental_features = [preset.e_coh, preset.G, preset.a0, preset.ar, preset.mean_delta_bl, preset.mean_bl] if not structural_features: structural_features = [preset.d_gb, preset.d_rot, preset.sin_theta, preset.cos_theta] self.ele...

The describers that describes the grain boundary db entry with selected structural and elemental features.

GBDescriber

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GBDescriber: """The describers that describes the grain boundary db entry with selected structural and elemental features.""" def __init__(self, structural_features: list | None=None, elemental_features: list | None=None, **kwargs): """Args: structural_features (list): list of struct...

stack_v2_sparse_classes_75kplus_train_001503

14,714

permissive

[ { "docstring": "Args: structural_features (list): list of structural features elemental_features (list): list of elemental features **kwargs (dict): parameters for BaseDescriber.", "name": "__init__", "signature": "def __init__(self, structural_features: list | None=None, elemental_features: list | None...

3

stack_v2_sparse_classes_30k_train_004325

Implement the Python class `GBDescriber` described below. Class description: The describers that describes the grain boundary db entry with selected structural and elemental features. Method signatures and docstrings: - def __init__(self, structural_features: list | None=None, elemental_features: list | None=None, **...

6ae3c7029b939e1183684358a3ae2fef41053be5

<|skeleton|> class GBDescriber: """The describers that describes the grain boundary db entry with selected structural and elemental features.""" def __init__(self, structural_features: list | None=None, elemental_features: list | None=None, **kwargs): """Args: structural_features (list): list of struct...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GBDescriber: """The describers that describes the grain boundary db entry with selected structural and elemental features.""" def __init__(self, structural_features: list | None=None, elemental_features: list | None=None, **kwargs): """Args: structural_features (list): list of structural features...

the_stack_v2_python_sparse

maml/apps/gbe/describer.py

materialsvirtuallab/maml

train

266

109c73f67e8bdf304c8c847e55ba47b815b50fad

[ "if len(self.args) < 2:\n raise ValueError('OrdRule needs TWO arguments at least')\nif self.args[0].__class__.__name__ != 'RuleRangeArg':\n print(self.args[0])\n raise ValueError('The first argument of OrdRule must be RuleRangeArg')\nfor index, arg in enumerate(self.args[1:]):\n arg_name = arg.__class__...

<|body_start_0|> if len(self.args) < 2: raise ValueError('OrdRule needs TWO arguments at least') if self.args[0].__class__.__name__ != 'RuleRangeArg': print(self.args[0]) raise ValueError('The first argument of OrdRule must be RuleRangeArg') for index, arg in ...

有序不连续规则, 包括2个特性: 1. 有序. 是指规则中的参数前后顺序是敏感的 2. 不连续. 是指规则参数不需要紧密连续, 中间可以出现若干其他无关词条 3. 不重叠. 匹配的元素和元素之间不能出现重叠

OrdRule

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class OrdRule: """有序不连续规则, 包括2个特性: 1. 有序. 是指规则中的参数前后顺序是敏感的 2. 不连续. 是指规则参数不需要紧密连续, 中间可以出现若干其他无关词条 3. 不重叠. 匹配的元素和元素之间不能出现重叠""" def validate(self): """参数的合法性检验, 不合法抛出异常. 1. 参数至少要 2 个 2. 第 1 个参数必须是规则范围 (RuleRangeArg) 3. 第 2 个及以后的参数可以是: 1) 关键词 (KeywordArg) 2) 概念 (ConceptArg) 3) 规则 (ArgRule, Bag...

stack_v2_sparse_classes_75kplus_train_001504

4,472

permissive

[ { "docstring": "参数的合法性检验, 不合法抛出异常. 1. 参数至少要 2 个 2. 第 1 个参数必须是规则范围 (RuleRangeArg) 3. 第 2 个及以后的参数可以是: 1) 关键词 (KeywordArg) 2) 概念 (ConceptArg) 3) 规则 (ArgRule, BagRule, OrRule, OrdRule, SeqRule) 4) 规则过滤器 (RuleFilter)", "name": "validate", "signature": "def validate(self)" }, { "docstring": "递归来组合结果. ...

3

null

Implement the Python class `OrdRule` described below. Class description: 有序不连续规则, 包括2个特性: 1. 有序. 是指规则中的参数前后顺序是敏感的 2. 不连续. 是指规则参数不需要紧密连续, 中间可以出现若干其他无关词条 3. 不重叠. 匹配的元素和元素之间不能出现重叠 Method signatures and docstrings: - def validate(self): 参数的合法性检验, 不合法抛出异常. 1. 参数至少要 2 个 2. 第 1 个参数必须是规则范围 (RuleRangeArg) 3. 第 2 个及以后的参数可以是: 1...

e60de7b4457efd5a85165e89a4477c14f52c471b

<|skeleton|> class OrdRule: """有序不连续规则, 包括2个特性: 1. 有序. 是指规则中的参数前后顺序是敏感的 2. 不连续. 是指规则参数不需要紧密连续, 中间可以出现若干其他无关词条 3. 不重叠. 匹配的元素和元素之间不能出现重叠""" def validate(self): """参数的合法性检验, 不合法抛出异常. 1. 参数至少要 2 个 2. 第 1 个参数必须是规则范围 (RuleRangeArg) 3. 第 2 个及以后的参数可以是: 1) 关键词 (KeywordArg) 2) 概念 (ConceptArg) 3) 规则 (ArgRule, Bag...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class OrdRule: """有序不连续规则, 包括2个特性: 1. 有序. 是指规则中的参数前后顺序是敏感的 2. 不连续. 是指规则参数不需要紧密连续, 中间可以出现若干其他无关词条 3. 不重叠. 匹配的元素和元素之间不能出现重叠""" def validate(self): """参数的合法性检验, 不合法抛出异常. 1. 参数至少要 2 个 2. 第 1 个参数必须是规则范围 (RuleRangeArg) 3. 第 2 个及以后的参数可以是: 1) 关键词 (KeywordArg) 2) 概念 (ConceptArg) 3) 规则 (ArgRule, BagRule, OrRule,...

the_stack_v2_python_sparse

lre/rule/ord_rule.py

ovixiao/lre

train

0

6cdee17592c047d2631f19480d6eb5153e012823

[ "super(MultiLayerPerceptron, self).__init__()\nself.W1 = tf.layers.Dense(units=mlp_size, use_bias=True, name='W1', activation=tf.nn.relu)\nself.project = tf.layers.Dense(units=out_size, use_bias=True, name='pre_softmax')\nself.train = train\nself.dropout = dropout", "pre_out = self.W1(inputs)\nif self.train:\n ...

<|body_start_0|> super(MultiLayerPerceptron, self).__init__() self.W1 = tf.layers.Dense(units=mlp_size, use_bias=True, name='W1', activation=tf.nn.relu) self.project = tf.layers.Dense(units=out_size, use_bias=True, name='pre_softmax') self.train = train self.dropout = dropout <|e...

Classification layer with bottleneck relu layer.

MultiLayerPerceptron

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MultiLayerPerceptron: """Classification layer with bottleneck relu layer.""" def __init__(self, mlp_size, out_size, dropout, train): """Instantiate layer. Args: mlp_size (int) : dimension for bottleneck layer out_size (int) : number of classes dropout (float) : dropout rate train (bo...

stack_v2_sparse_classes_75kplus_train_001505

7,981

no_license

[ { "docstring": "Instantiate layer. Args: mlp_size (int) : dimension for bottleneck layer out_size (int) : number of classes dropout (float) : dropout rate train (bool) : model is in training phase", "name": "__init__", "signature": "def __init__(self, mlp_size, out_size, dropout, train)" }, { "d...

2

null

Implement the Python class `MultiLayerPerceptron` described below. Class description: Classification layer with bottleneck relu layer. Method signatures and docstrings: - def __init__(self, mlp_size, out_size, dropout, train): Instantiate layer. Args: mlp_size (int) : dimension for bottleneck layer out_size (int) : n...

8e65b814b87fb5f237291612364c9774de258e8b

<|skeleton|> class MultiLayerPerceptron: """Classification layer with bottleneck relu layer.""" def __init__(self, mlp_size, out_size, dropout, train): """Instantiate layer. Args: mlp_size (int) : dimension for bottleneck layer out_size (int) : number of classes dropout (float) : dropout rate train (bo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MultiLayerPerceptron: """Classification layer with bottleneck relu layer.""" def __init__(self, mlp_size, out_size, dropout, train): """Instantiate layer. Args: mlp_size (int) : dimension for bottleneck layer out_size (int) : number of classes dropout (float) : dropout rate train (bool) : model i...

the_stack_v2_python_sparse

models/leam.py

julian-risch/JCDL2020

train

3

643a9d11f5dc0ae1fb93dced0a289dbdd3aa9942

[ "super().__init__(name=name)\nself._depth = depth\nself._num_layers = 2\nself._kernel_shapes = [kernel_shape] * 2\nself._strides = [stride, 1]\nself._padding = snt.SAME\nself._activation = activation\nself._extra_params = extra_params\nself._downsample_input = False\nif stride != 1:\n self._downsample_input = Tr...

<|body_start_0|> super().__init__(name=name) self._depth = depth self._num_layers = 2 self._kernel_shapes = [kernel_shape] * 2 self._strides = [stride, 1] self._padding = snt.SAME self._activation = activation self._extra_params = extra_params self...

ResUnit

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ResUnit: def __init__(self, depth, name='resunit', kernel_shape=[3, 3], stride=1, activation=tf.nn.relu, use_weight_norm=False, **extra_params): """Args: depth (int): the depth of the resUnit. name (str): module name. kernel_shape (int or [int,int]): the kernel size stride (int): the str...

stack_v2_sparse_classes_75kplus_train_001506

3,128

permissive

[ { "docstring": "Args: depth (int): the depth of the resUnit. name (str): module name. kernel_shape (int or [int,int]): the kernel size stride (int): the stride activation (tf function): activation used for the internal layers. **extra_params: all the additional keyword arguments will be passed to snt.Conv2D lay...

2

null

Implement the Python class `ResUnit` described below. Class description: Implement the ResUnit class. Method signatures and docstrings: - def __init__(self, depth, name='resunit', kernel_shape=[3, 3], stride=1, activation=tf.nn.relu, use_weight_norm=False, **extra_params): Args: depth (int): the depth of the resUnit....

a10c33346803239db8a64c104db7f22ec4e05bef

<|skeleton|> class ResUnit: def __init__(self, depth, name='resunit', kernel_shape=[3, 3], stride=1, activation=tf.nn.relu, use_weight_norm=False, **extra_params): """Args: depth (int): the depth of the resUnit. name (str): module name. kernel_shape (int or [int,int]): the kernel size stride (int): the str...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ResUnit: def __init__(self, depth, name='resunit', kernel_shape=[3, 3], stride=1, activation=tf.nn.relu, use_weight_norm=False, **extra_params): """Args: depth (int): the depth of the resUnit. name (str): module name. kernel_shape (int or [int,int]): the kernel size stride (int): the stride activation...

the_stack_v2_python_sparse

argo/core/network/ResUnit.py

ricvo/argo

train

0

ac71f931bc9652d38471ea8358004b698e9077bb

[ "if values is None:\n values = {}\nfor band in self.BANDS:\n if band not in values.keys():\n values[band] = []\nsuper().__init__(values)", "if new_dict is None:\n return\nfor band in self.BANDS:\n if band not in new_dict.keys() or not new_dict[band]:\n continue\n if not self[band]:\n ...

<|body_start_0|> if values is None: values = {} for band in self.BANDS: if band not in values.keys(): values[band] = [] super().__init__(values) <|end_body_0|> <|body_start_1|> if new_dict is None: return for band in self.BANDS...

Value class which contains values of single day over all supported bands.

Value

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Value: """Value class which contains values of single day over all supported bands.""" def __init__(self, values: Optional[Dict[str, Any]]=None) -> None: """Initialise the value class.""" <|body_0|> def update(self, new_dict: Optional[Dict[str, Any]]=None, **F: Any) -> N...

stack_v2_sparse_classes_75kplus_train_001507

3,010

no_license

[ { "docstring": "Initialise the value class.", "name": "__init__", "signature": "def __init__(self, values: Optional[Dict[str, Any]]=None) -> None" }, { "docstring": "D.update([E, ]**F) -> None. Update D from dict/iterable E and F. If E is present and has a .keys() method, then does: for k in E: ...

2

null

Implement the Python class `Value` described below. Class description: Value class which contains values of single day over all supported bands. Method signatures and docstrings: - def __init__(self, values: Optional[Dict[str, Any]]=None) -> None: Initialise the value class. - def update(self, new_dict: Optional[Dict...

baa21e5d44fb323b28940c94a7dc93271338825f

<|skeleton|> class Value: """Value class which contains values of single day over all supported bands.""" def __init__(self, values: Optional[Dict[str, Any]]=None) -> None: """Initialise the value class.""" <|body_0|> def update(self, new_dict: Optional[Dict[str, Any]]=None, **F: Any) -> N...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Value: """Value class which contains values of single day over all supported bands.""" def __init__(self, values: Optional[Dict[str, Any]]=None) -> None: """Initialise the value class.""" if values is None: values = {} for band in self.BANDS: if band not in...

the_stack_v2_python_sparse

src/radix_co2_reduction/data/dictionary.py

shawnxiao-yara/radix-co2-reduction

train

0

4c6855354357693bd544c2cd985aa4c3c795fd87

[ "resp = requests.get(verify_url.format('json', '', cred[1], 'TestApp', test_number))\nassert resp.status_code == 200\nassert resp.headers['Content-Type'] == 'application/json'\nassert resp.json()['status'] == '2'\nassert resp.json()['error_text'] == missing_apikey_msg\nresp = requests.get(verify_url_without_apikey....

<|body_start_0|> resp = requests.get(verify_url.format('json', '', cred[1], 'TestApp', test_number)) assert resp.status_code == 200 assert resp.headers['Content-Type'] == 'application/json' assert resp.json()['status'] == '2' assert resp.json()['error_text'] == missing_apikey_msg...

This class contains only JSON format API testcases.

TestVerifyApiAuthJson

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestVerifyApiAuthJson: """This class contains only JSON format API testcases.""" def test_empty_apikey(self, cred): """Test Verify Request with empty api_key value and without api_key parm in the query string at all. Each request should fail with status code 2.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus_train_001508

3,370

no_license

[ { "docstring": "Test Verify Request with empty api_key value and without api_key parm in the query string at all. Each request should fail with status code 2.", "name": "test_empty_apikey", "signature": "def test_empty_apikey(self, cred)" }, { "docstring": "Test Verify Request with empty api_sec...

4

stack_v2_sparse_classes_30k_train_045730

Implement the Python class `TestVerifyApiAuthJson` described below. Class description: This class contains only JSON format API testcases. Method signatures and docstrings: - def test_empty_apikey(self, cred): Test Verify Request with empty api_key value and without api_key parm in the query string at all. Each reque...

a51f99c9595cf3b7910a262006a6584f4929eb70

<|skeleton|> class TestVerifyApiAuthJson: """This class contains only JSON format API testcases.""" def test_empty_apikey(self, cred): """Test Verify Request with empty api_key value and without api_key parm in the query string at all. Each request should fail with status code 2.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestVerifyApiAuthJson: """This class contains only JSON format API testcases.""" def test_empty_apikey(self, cred): """Test Verify Request with empty api_key value and without api_key parm in the query string at all. Each request should fail with status code 2.""" resp = requests.get(veri...

the_stack_v2_python_sparse

nexmo_verify_api_auth_testing.py

alx-fokin/api-testing-example

train

0

7e2642811b17392adf07f375f495fd57aeb24639

[ "super().__init__()\nself.name: str = name\nself.params: dict = data", "if self.params == {}:\n return {self.name: None}\nreturn {self.name: self.params}" ]

<|body_start_0|> super().__init__() self.name: str = name self.params: dict = data <|end_body_0|> <|body_start_1|> if self.params == {}: return {self.name: None} return {self.name: self.params} <|end_body_1|>

Configuration Dataset class.

Dataset

[ "MIT", "Intel", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Dataset: """Configuration Dataset class.""" def __init__(self, name: str, data: Dict[str, Any]={}) -> None: """Initialize Configuration Dataset class.""" <|body_0|> def serialize(self, serialization_type: str='default') -> Dict[str, Any]: """Serialize Dataset cla...

stack_v2_sparse_classes_75kplus_train_001509

4,560

permissive

[ { "docstring": "Initialize Configuration Dataset class.", "name": "__init__", "signature": "def __init__(self, name: str, data: Dict[str, Any]={}) -> None" }, { "docstring": "Serialize Dataset class.", "name": "serialize", "signature": "def serialize(self, serialization_type: str='defaul...

2

stack_v2_sparse_classes_30k_train_004391

Implement the Python class `Dataset` described below. Class description: Configuration Dataset class. Method signatures and docstrings: - def __init__(self, name: str, data: Dict[str, Any]={}) -> None: Initialize Configuration Dataset class. - def serialize(self, serialization_type: str='default') -> Dict[str, Any]: ...

3976edc4215398e69ce0213f87ec295f5dc96e0e

<|skeleton|> class Dataset: """Configuration Dataset class.""" def __init__(self, name: str, data: Dict[str, Any]={}) -> None: """Initialize Configuration Dataset class.""" <|body_0|> def serialize(self, serialization_type: str='default') -> Dict[str, Any]: """Serialize Dataset cla...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Dataset: """Configuration Dataset class.""" def __init__(self, name: str, data: Dict[str, Any]={}) -> None: """Initialize Configuration Dataset class.""" super().__init__() self.name: str = name self.params: dict = data def serialize(self, serialization_type: str='def...

the_stack_v2_python_sparse

neural_compressor/ux/utils/workload/dataloader.py

Skp80/neural-compressor

train

0

abf103845299e7eb8edd6df81b7b2244f466e5d9

[ "tf.reset_default_graph()\noptim = tf.train.GradientDescentOptimizer(0.001)\nglobal_step = tf.train.get_or_create_global_step()\nsparse_optim = sparse_optimizers.SparseRigLOptimizer(optim, start_iter, end_iter, freq_iter, drop_fraction=drop_frac)\nx = tf.ones((1, n_inp))\ny = layers.masked_fully_connected(x, n_out,...

<|body_start_0|> tf.reset_default_graph() optim = tf.train.GradientDescentOptimizer(0.001) global_step = tf.train.get_or_create_global_step() sparse_optim = sparse_optimizers.SparseRigLOptimizer(optim, start_iter, end_iter, freq_iter, drop_fraction=drop_frac) x = tf.ones((1, n_in...

SparseRigLOptimizerTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SparseRigLOptimizerTest: def _setup_graph(self, n_inp, n_out, drop_frac, start_iter=1, end_iter=4, freq_iter=2): """Setups a trivial training procedure for sparse training.""" <|body_0|> def testMaskedGradientCalculation(self, n_inp, n_out): """Checking whether maske...

stack_v2_sparse_classes_75kplus_train_001510

25,606

permissive

[ { "docstring": "Setups a trivial training procedure for sparse training.", "name": "_setup_graph", "signature": "def _setup_graph(self, n_inp, n_out, drop_frac, start_iter=1, end_iter=4, freq_iter=2)" }, { "docstring": "Checking whether masked_grad is calculated after apply_gradients.", "nam...

3

stack_v2_sparse_classes_30k_train_010758

Implement the Python class `SparseRigLOptimizerTest` described below. Class description: Implement the SparseRigLOptimizerTest class. Method signatures and docstrings: - def _setup_graph(self, n_inp, n_out, drop_frac, start_iter=1, end_iter=4, freq_iter=2): Setups a trivial training procedure for sparse training. - d...

d39fc7d46505cb3196cb1edeb32ed0b6dd44c0f9

<|skeleton|> class SparseRigLOptimizerTest: def _setup_graph(self, n_inp, n_out, drop_frac, start_iter=1, end_iter=4, freq_iter=2): """Setups a trivial training procedure for sparse training.""" <|body_0|> def testMaskedGradientCalculation(self, n_inp, n_out): """Checking whether maske...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SparseRigLOptimizerTest: def _setup_graph(self, n_inp, n_out, drop_frac, start_iter=1, end_iter=4, freq_iter=2): """Setups a trivial training procedure for sparse training.""" tf.reset_default_graph() optim = tf.train.GradientDescentOptimizer(0.001) global_step = tf.train.get_o...

the_stack_v2_python_sparse

rigl/sparse_optimizers_test.py

google-research/rigl

train

324

9cf85d447e02c39d246ba74eb7acf10fec829814

[ "res = ApiResponse()\nscheduleObj = Schedule.objects.get(id=scheduleId)\ncronSchedule = scheduleObj.cronSchedule\nptask = PeriodicTask.objects.update_or_create(name=anomalyDefId, defaults={'crontab': cronSchedule, 'task': anomalyDetectionJob.name, 'args': f'[\"{anomalyDefId}\"]'})\nanomalyDefObj = AnomalyDefinition...

<|body_start_0|> res = ApiResponse() scheduleObj = Schedule.objects.get(id=scheduleId) cronSchedule = scheduleObj.cronSchedule ptask = PeriodicTask.objects.update_or_create(name=anomalyDefId, defaults={'crontab': cronSchedule, 'task': anomalyDetectionJob.name, 'args': f'["{anomalyDefId}"...

AnomalyDefJobServices

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AnomalyDefJobServices: def addAnomalyDefJob(anomalyDefId: str, scheduleId: int): """Service to add a new AnomalyDefJob :param anomalyDefId: ID of the AnomalyDef for which to create job :param scheduleId: ID of schedule""" <|body_0|> def deleteAnomalyDefJob(anomalyDefId: int)...

stack_v2_sparse_classes_75kplus_train_001511

9,645

permissive

[ { "docstring": "Service to add a new AnomalyDefJob :param anomalyDefId: ID of the AnomalyDef for which to create job :param scheduleId: ID of schedule", "name": "addAnomalyDefJob", "signature": "def addAnomalyDefJob(anomalyDefId: str, scheduleId: int)" }, { "docstring": "Service to update cronta...

2

stack_v2_sparse_classes_30k_train_000488

Implement the Python class `AnomalyDefJobServices` described below. Class description: Implement the AnomalyDefJobServices class. Method signatures and docstrings: - def addAnomalyDefJob(anomalyDefId: str, scheduleId: int): Service to add a new AnomalyDefJob :param anomalyDefId: ID of the AnomalyDef for which to crea...

4c10cd804d6ca31a21d14d65670fa4c6b9a5d011

<|skeleton|> class AnomalyDefJobServices: def addAnomalyDefJob(anomalyDefId: str, scheduleId: int): """Service to add a new AnomalyDefJob :param anomalyDefId: ID of the AnomalyDef for which to create job :param scheduleId: ID of schedule""" <|body_0|> def deleteAnomalyDefJob(anomalyDefId: int)...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AnomalyDefJobServices: def addAnomalyDefJob(anomalyDefId: str, scheduleId: int): """Service to add a new AnomalyDefJob :param anomalyDefId: ID of the AnomalyDef for which to create job :param scheduleId: ID of schedule""" res = ApiResponse() scheduleObj = Schedule.objects.get(id=schedu...

the_stack_v2_python_sparse

api/anomaly/services/anomalyDefinitions.py

Slach/CueObserve

train

0

f53ea2587f2719320761e9f84a99e894305c0324

[ "self.layout = layout\nself.reader = VolumeReader()\nself.writer = writer", "layout = argdef(layout, self.layout)\nwriter = _select_writer(x, self.writer, layout + '_')\nx, info = self.reader(x)\naffine = argdef(affine, info.get('affine'))\nif affine is None:\n return writer(x, info=info)\naffine, x = change_l...

Reorient a volume to match a target layout.

Reorienter

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Reorienter: """Reorient a volume to match a target layout.""" def __init__(self, layout='RAS', writer=None): """Parameters ---------- layout : str, default='RAS' Name of a layout. See ``affine_layout_matrix``. writer : VolumeWriter, optional Writer object. Selected based on the input...

stack_v2_sparse_classes_75kplus_train_001512

3,613

permissive

[ { "docstring": "Parameters ---------- layout : str, default='RAS' Name of a layout. See ``affine_layout_matrix``. writer : VolumeWriter, optional Writer object. Selected based on the input type by default.", "name": "__init__", "signature": "def __init__(self, layout='RAS', writer=None)" }, { "d...

2

null

Implement the Python class `Reorienter` described below. Class description: Reorient a volume to match a target layout. Method signatures and docstrings: - def __init__(self, layout='RAS', writer=None): Parameters ---------- layout : str, default='RAS' Name of a layout. See ``affine_layout_matrix``. writer : VolumeWr...

fb3582b0657479d2a493d0c7c397a81215f66857

<|skeleton|> class Reorienter: """Reorient a volume to match a target layout.""" def __init__(self, layout='RAS', writer=None): """Parameters ---------- layout : str, default='RAS' Name of a layout. See ``affine_layout_matrix``. writer : VolumeWriter, optional Writer object. Selected based on the input...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Reorienter: """Reorient a volume to match a target layout.""" def __init__(self, layout='RAS', writer=None): """Parameters ---------- layout : str, default='RAS' Name of a layout. See ``affine_layout_matrix``. writer : VolumeWriter, optional Writer object. Selected based on the input type by defa...

the_stack_v2_python_sparse

nntools/space/object.py

balbasty/nntools

train

0

24946af70bd19f4df06148cc31a255e1e471b47b

[ "if not kwargs.get('obj_ids'):\n obj_model = facade.get_route_map_by_search(self.search)\n objects = obj_model['query_set']\n only_main_property = False\nelse:\n ids = kwargs.get('obj_ids').split(';')\n objects = facade.get_route_map_by_ids(ids)\n only_main_property = True\n obj_model = None\ns...

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

RouteMapDBView

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001513

9,414

permissive

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

4

stack_v2_sparse_classes_30k_val_002965

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

eb27e1d977a1c4bb1fee8fb51b8d8050c64696d9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

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

the_stack_v2_python_sparse

networkapi/api_route_map/v4/views.py

globocom/GloboNetworkAPI

train

86

b097669829826d57218b56d17b47a55831c33581

[ "self.derivatives = derivatives\nfor param_str in params:\n if not hasattr(self, param_str):\n setattr(self, param_str, self._make_param_function(param_str))\nsuper().__init__(params=params)", "def param_function(ext, module, g_inp, g_out, bpQuantities):\n \"\"\"Calculates gradient with the help of d...

Calculates the gradient. Passes the calls for the parameters to the derivatives class. Implements functions with method names from params. If child class wants to overwrite these methods - for example to support an additional external module - it can do so using the interface for parameter "param1":: param1(ext, module...

GradBaseModule

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GradBaseModule: """Calculates the gradient. Passes the calls for the parameters to the derivatives class. Implements functions with method names from params. If child class wants to overwrite these methods - for example to support an additional external module - it can do so using the interface f...

stack_v2_sparse_classes_75kplus_train_001514

2,424

permissive

[ { "docstring": "Initializes all methods. If the param method has already been defined, it is left unchanged. Args: derivatives(backpack.core.derivatives.basederivatives.BaseParameterDerivatives): # noqa: B950 Derivatives object assigned to self.derivatives. params (list[str]): list of strings with parameter nam...

2

stack_v2_sparse_classes_30k_train_020917

Implement the Python class `GradBaseModule` described below. Class description: Calculates the gradient. Passes the calls for the parameters to the derivatives class. Implements functions with method names from params. If child class wants to overwrite these methods - for example to support an additional external modu...

1ebfb4055be72ed9e0f9d101d78806bd4119645e

<|skeleton|> class GradBaseModule: """Calculates the gradient. Passes the calls for the parameters to the derivatives class. Implements functions with method names from params. If child class wants to overwrite these methods - for example to support an additional external module - it can do so using the interface f...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GradBaseModule: """Calculates the gradient. Passes the calls for the parameters to the derivatives class. Implements functions with method names from params. If child class wants to overwrite these methods - for example to support an additional external module - it can do so using the interface for parameter ...

the_stack_v2_python_sparse

backpack/extensions/firstorder/gradient/base.py

f-dangel/backpack

train

505

0fd4ff92e290d8dddf392d0ed55e56290fb149eb

[ "def pre_search(t):\n if not t:\n self.res += '()'\n return\n elif not t.left and (not t.right):\n self.res += '('\n self.res += str(t.val)\n self.res += ')'\n elif not t.left:\n self.res += '('\n self.res += str(t.val)\n self.res += '()'\n if ...

<|body_start_0|> def pre_search(t): if not t: self.res += '()' return elif not t.left and (not t.right): self.res += '(' self.res += str(t.val) self.res += ')' elif not t.left: sel...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001515

1,490

no_license

[ { "docstring": ":type t: TreeNode :rtype: str", "name": "tree2str", "signature": "def tree2str(self, t)" }, { "docstring": ":type t: TreeNode :rtype: str", "name": "tree2str2", "signature": "def tree2str2(self, t)" } ]

2

stack_v2_sparse_classes_30k_train_031457

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def tree2str(self, t): :type t: TreeNode :rtype: str - def tree2str2(self, t): :type t: TreeNode :rtype: str

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def tree2str(self, t): :type t: TreeNode :rtype: str - def tree2str2(self, t): :type t: TreeNode :rtype: str <|skeleton|> class Solution: def tree2str(self, t): """...

4105e18050b15fc0409c75353ad31be17187dd34

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def tree2str(self, t): """:type t: TreeNode :rtype: str""" def pre_search(t): if not t: self.res += '()' return elif not t.left and (not t.right): self.res += '(' self.res += str(t.val) ...

the_stack_v2_python_sparse

tree2str.py

NeilWangziyu/Leetcode_py

train

2

d52cfbcfe594aba53d7984b5d2186546d83ddf40

[ "count = maxWidth\nstart = end = 0\nresult = []\nfor word in words:\n length = len(word)\n nSpaces = end - start - 1\n if length + nSpaces + 1 > count:\n average = count / (nSpaces or 1)\n remainder = count - average * (nSpaces or 1)\n string = words[start] + (nSpaces == 0) * average *...

<|body_start_0|> count = maxWidth start = end = 0 result = [] for word in words: length = len(word) nSpaces = end - start - 1 if length + nSpaces + 1 > count: average = count / (nSpaces or 1) remainder = count - average ...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001516

2,353

permissive

[ { "docstring": ":type words: List[str] :type maxWidth: int :rtype: List[str]", "name": "fullJustify", "signature": "def fullJustify(self, words, maxWidth)" }, { "docstring": ":type words: List[str] :type maxWidth: int :rtype: List[str]", "name": "fullJustify2", "signature": "def fullJust...

2

stack_v2_sparse_classes_30k_train_048673

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def fullJustify(self, words, maxWidth): :type words: List[str] :type maxWidth: int :rtype: List[str] - def fullJustify2(self, words, maxWidth): :type words: List[str] :type maxWi...

c8bf33af30569177c5276ffcd72a8d93ba4c402a

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def fullJustify(self, words, maxWidth): """:type words: List[str] :type maxWidth: int :rtype: List[str]""" count = maxWidth start = end = 0 result = [] for word in words: length = len(word) nSpaces = end - start - 1 if lengt...

the_stack_v2_python_sparse

1-100/61-70/68-textJustification/textJustification.py

xuychen/Leetcode

train

0

a0b2d10e9618fe33fe613467d20fbd98643f536c

[ "self._avg_mag = 0\nself._count = 0\nself._Ips_d = 0\nself._Qps_d = 0\nself._lf_coeff = lf_coeff\nself._costas_mode = costas_mode\nself._freq_mode = freq_mode\nself.costas_err = 0\nself.freq_err = 0\nself.freq_bias = freq_bias\nself.d_lf_out = 0\nself.lf_out = freq_bias\nself._lf = 0\nself._lf_sum = 0\nself._lf_sum...

<|body_start_0|> self._avg_mag = 0 self._count = 0 self._Ips_d = 0 self._Qps_d = 0 self._lf_coeff = lf_coeff self._costas_mode = costas_mode self._freq_mode = freq_mode self.costas_err = 0 self.freq_err = 0 self.freq_bias = freq_bias ...

Costas

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Costas: def __init__(self, lf_coeff, costas_mode, freq_mode, freq_bias): """Costas block Parameters ---------- int_time: int lf_coeff: list pd_mode: int costas_mode: int freq_mode: int Returns ------- Costas object""" <|body_0|> def costas_detector(self, Ips, Qps, mode): ...

stack_v2_sparse_classes_75kplus_train_001517

5,884

no_license

[ { "docstring": "Costas block Parameters ---------- int_time: int lf_coeff: list pd_mode: int costas_mode: int freq_mode: int Returns ------- Costas object", "name": "__init__", "signature": "def __init__(self, lf_coeff, costas_mode, freq_mode, freq_bias)" }, { "docstring": "Costas discriminator....

5

stack_v2_sparse_classes_30k_train_023238

Implement the Python class `Costas` described below. Class description: Implement the Costas class. Method signatures and docstrings: - def __init__(self, lf_coeff, costas_mode, freq_mode, freq_bias): Costas block Parameters ---------- int_time: int lf_coeff: list pd_mode: int costas_mode: int freq_mode: int Returns ...

50189c74f92dddaf88ba9a8ac322d4e21f140746

<|skeleton|> class Costas: def __init__(self, lf_coeff, costas_mode, freq_mode, freq_bias): """Costas block Parameters ---------- int_time: int lf_coeff: list pd_mode: int costas_mode: int freq_mode: int Returns ------- Costas object""" <|body_0|> def costas_detector(self, Ips, Qps, mode): ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Costas: def __init__(self, lf_coeff, costas_mode, freq_mode, freq_bias): """Costas block Parameters ---------- int_time: int lf_coeff: list pd_mode: int costas_mode: int freq_mode: int Returns ------- Costas object""" self._avg_mag = 0 self._count = 0 self._Ips_d = 0 se...

the_stack_v2_python_sparse

python/blocks/costas_model.py

techeraj-osh/fa18-gps

train

0

283c28bc1bef0f0d4a6851ce8feed887180c31a8

[ "mimetype = self.context.resource_mimetype()\nif mimetype:\n mime_parts = mimetype.split('/')\n for view_name in ['%s_%s' % tuple(mime_parts), mime_parts[0], 'default']:\n view = queryMultiAdapter((self.context, self.request), name='resource_%s' % view_name)\n if view:\n return view._...

<|body_start_0|> mimetype = self.context.resource_mimetype() if mimetype: mime_parts = mimetype.split('/') for view_name in ['%s_%s' % tuple(mime_parts), mime_parts[0], 'default']: view = queryMultiAdapter((self.context, self.request), name='resource_%s' % view_na...

A view to display a resource.

ATResourceView

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001518

1,247

no_license

[ { "docstring": "Returns the view for the resource based on its mimetype.", "name": "resource_view", "signature": "def resource_view(self)" }, { "docstring": "Renders the resource.", "name": "resource", "signature": "def resource(self)" } ]

2

stack_v2_sparse_classes_30k_train_031682

Implement the Python class `ATResourceView` described below. Class description: A view to display a resource. Method signatures and docstrings: - def resource_view(self): Returns the view for the resource based on its mimetype. - def resource(self): Renders the resource.

Implement the Python class `ATResourceView` described below. Class description: A view to display a resource. Method signatures and docstrings: - def resource_view(self): Returns the view for the resource based on its mimetype. - def resource(self): Renders the resource. <|skeleton|> class ATResourceView: """A v...

bd7ca0793d35bbdbc83200d27650fe024d1f432e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ATResourceView: """A view to display a resource.""" def resource_view(self): """Returns the view for the resource based on its mimetype.""" mimetype = self.context.resource_mimetype() if mimetype: mime_parts = mimetype.split('/') for view_name in ['%s_%s' %...

the_stack_v2_python_sparse

groundwire/atresources/browser/atresource.py

collective/groundwire.atresources

train

0

36b8d6176fdfeba35e83a351c4015d0ba2ad281a

[ "res = {}\npoint_type = DBSCAN(eps=eps, min_samples=min_samples).fit_predict(points)\nfor point_index, each_point in enumerate(points):\n each_type = point_type[point_index]\n if each_type in res:\n res[each_type].append(each_point)\n else:\n res[each_type] = [each_point]\nreturn res", "poi...

<|body_start_0|> res = {} point_type = DBSCAN(eps=eps, min_samples=min_samples).fit_predict(points) for point_index, each_point in enumerate(points): each_type = point_type[point_index] if each_type in res: res[each_type].append(each_point) els...

DbscanUtil

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DbscanUtil: def cluser_saptial_point(points, eps, min_samples=2): """空间点的聚类""" <|body_0|> def cluser_point_shp(point_path, save_path, eps, min_samples=2): """聚类邻近的点""" <|body_1|> <|end_skeleton|> <|body_start_0|> res = {} point_type = DBSCAN...

stack_v2_sparse_classes_75kplus_train_001519

2,526

no_license

[ { "docstring": "空间点的聚类", "name": "cluser_saptial_point", "signature": "def cluser_saptial_point(points, eps, min_samples=2)" }, { "docstring": "聚类邻近的点", "name": "cluser_point_shp", "signature": "def cluser_point_shp(point_path, save_path, eps, min_samples=2)" } ]

2

stack_v2_sparse_classes_30k_train_050954

Implement the Python class `DbscanUtil` described below. Class description: Implement the DbscanUtil class. Method signatures and docstrings: - def cluser_saptial_point(points, eps, min_samples=2): 空间点的聚类 - def cluser_point_shp(point_path, save_path, eps, min_samples=2): 聚类邻近的点

Implement the Python class `DbscanUtil` described below. Class description: Implement the DbscanUtil class. Method signatures and docstrings: - def cluser_saptial_point(points, eps, min_samples=2): 空间点的聚类 - def cluser_point_shp(point_path, save_path, eps, min_samples=2): 聚类邻近的点 <|skeleton|> class DbscanUtil: de...

32e64be10a6cd2856850f6720d70b4c6e7033f4e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DbscanUtil: def cluser_saptial_point(points, eps, min_samples=2): """空间点的聚类""" res = {} point_type = DBSCAN(eps=eps, min_samples=min_samples).fit_predict(points) for point_index, each_point in enumerate(points): each_type = point_type[point_index] if eac...

the_stack_v2_python_sparse

DataMining/cluser/DBSCAN.py

newjokker/PyUtil

train

0

f961ef060265ee1a174f567cfba68f6c9227eaec

[ "try:\n for file in os.listdir(directory):\n if file.endswith('.js'):\n filepath = '%s/%s' % (directory, file)\n self._get_data_from_file(filepath)\n self.file_count += 1\nexcept OSError as e:\n raise IngestError(e)\nif self.file_count == 0:\n raise IngestError('No ....

<|body_start_0|> try: for file in os.listdir(directory): if file.endswith('.js'): filepath = '%s/%s' % (directory, file) self._get_data_from_file(filepath) self.file_count += 1 except OSError as e: raise ...

Used for the old (original?) format of twitter archives, which contained three files and five folders, including data/js/tweets/ which contained a .js file for every month, like 2016_02.js. This is what we import the tweet data from. Sometime in 2019, between January and May, the format changed to what we call version ...

Version1TweetIngester

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Version1TweetIngester: """Used for the old (original?) format of twitter archives, which contained three files and five folders, including data/js/tweets/ which contained a .js file for every month, like 2016_02.js. This is what we import the tweet data from. Sometime in 2019, between January and...

stack_v2_sparse_classes_75kplus_train_001520

11,221

permissive

[ { "docstring": "Goes through all the *.js files in `directory` and puts the tweet data inside into self.tweets_data. No data is saved to the database until we've successfully loaded JSON from all of the files. Keyword arguments: directory -- The directory to load the files from. Raises: IngestError -- If the di...

2

stack_v2_sparse_classes_30k_train_032272

Implement the Python class `Version1TweetIngester` described below. Class description: Used for the old (original?) format of twitter archives, which contained three files and five folders, including data/js/tweets/ which contained a .js file for every month, like 2016_02.js. This is what we import the tweet data from...

57ee6f6657b41705af71ef67924d8ef06c60ae4f

<|skeleton|> class Version1TweetIngester: """Used for the old (original?) format of twitter archives, which contained three files and five folders, including data/js/tweets/ which contained a .js file for every month, like 2016_02.js. This is what we import the tweet data from. Sometime in 2019, between January and...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Version1TweetIngester: """Used for the old (original?) format of twitter archives, which contained three files and five folders, including data/js/tweets/ which contained a .js file for every month, like 2016_02.js. This is what we import the tweet data from. Sometime in 2019, between January and May, the for...

the_stack_v2_python_sparse

ditto/twitter/ingest.py

philgyford/django-ditto

train

59

58100c9577cd0ac7d519ab36bb4923581c227f02

[ "self.pipeline = pipeline\nsuper().__init__()\nself.daemon = True\nself.start()", "pipeline = self.pipeline\ncheck_prev_done = len(pipeline.procs) == 1\nif check_prev_done:\n return\nproc = pipeline.proc\nprev_end_time = None\ntimeout = XSH.env.get('XONSH_PROC_FREQUENCY')\nsleeptime = min(timeout * 1000, 0.1)\...

Previous process closer thread for pipelines whose last command is itself unthreadable. This makes sure that the pipeline is driven forward and does not deadlock.

PrevProcCloser

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PrevProcCloser: """Previous process closer thread for pipelines whose last command is itself unthreadable. This makes sure that the pipeline is driven forward and does not deadlock.""" def __init__(self, pipeline): """Parameters ---------- pipeline : CommandPipeline The pipeline whos...

stack_v2_sparse_classes_75kplus_train_001521

26,642

permissive

[ { "docstring": "Parameters ---------- pipeline : CommandPipeline The pipeline whose prev procs we should close.", "name": "__init__", "signature": "def __init__(self, pipeline)" }, { "docstring": "Runs the closing algorithm.", "name": "run", "signature": "def run(self)" } ]

2

stack_v2_sparse_classes_30k_train_046427

Implement the Python class `PrevProcCloser` described below. Class description: Previous process closer thread for pipelines whose last command is itself unthreadable. This makes sure that the pipeline is driven forward and does not deadlock. Method signatures and docstrings: - def __init__(self, pipeline): Parameter...

60f0145ed893cb73bbfcf336c448238981010d41

<|skeleton|> class PrevProcCloser: """Previous process closer thread for pipelines whose last command is itself unthreadable. This makes sure that the pipeline is driven forward and does not deadlock.""" def __init__(self, pipeline): """Parameters ---------- pipeline : CommandPipeline The pipeline whos...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PrevProcCloser: """Previous process closer thread for pipelines whose last command is itself unthreadable. This makes sure that the pipeline is driven forward and does not deadlock.""" def __init__(self, pipeline): """Parameters ---------- pipeline : CommandPipeline The pipeline whose prev procs ...

the_stack_v2_python_sparse

xonsh/procs/pipelines.py

xonsh/xonsh

train

6,374

76d61f95b2f041bdddabff067593ee2c7547499a

[ "from torch.nn import ModuleList\nfrom torch.nn import Conv2d\nsuper().__init__()\nassert feature_size != 0 and feature_size & feature_size - 1 == 0, 'latent size not a power of 2'\nif depth >= 4:\n assert feature_size >= np.power(2, depth - 4), 'feature size cannot be produced'\nself.depth = depth\nself.feature...

<|body_start_0|> from torch.nn import ModuleList from torch.nn import Conv2d super().__init__() assert feature_size != 0 and feature_size & feature_size - 1 == 0, 'latent size not a power of 2' if depth >= 4: assert feature_size >= np.power(2, depth - 4), 'feature siz...

Discriminator of the GAN

msg_stylegan2_lm_id_D

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class msg_stylegan2_lm_id_D: """Discriminator of the GAN""" def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True): """constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the...

stack_v2_sparse_classes_75kplus_train_001522

14,685

no_license

[ { "docstring": "constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the deepest features extracted (Must be equal to Generator latent_size) :param dilation: amount of dilation to be applied to the 3x3 convolutional blocks o...

4

stack_v2_sparse_classes_30k_train_022204

Implement the Python class `msg_stylegan2_lm_id_D` described below. Class description: Discriminator of the GAN Method signatures and docstrings: - def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True): constructor for the class :param depth: total depth of the discriminator (Must be equal...

428abe1fefe5ea4ef00290155e7e59657bc83444

<|skeleton|> class msg_stylegan2_lm_id_D: """Discriminator of the GAN""" def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True): """constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class msg_stylegan2_lm_id_D: """Discriminator of the GAN""" def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True): """constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the deepest feat...

the_stack_v2_python_sparse

src/msg_stylegan2.py

blakecheng/lafin

train

0

060a89f3aa8dd16b53805392963f2c1cb2028ef7

[ "self.M = 0\nself.G = []\nE = 100000000000000\ny_m = y\nwhile E > error:\n if model == 'CART':\n self.G.append(CART(x, y_m, 'regression', max_depth=1))\n self.M += 1\n y_t = self.fit(x)\n E = np.sum((y_t - y) ** 2)\n y_m = y - y_t", "y = np.zeros(x.shape[0])\nfor m in range(self.M):\n y =...

<|body_start_0|> self.M = 0 self.G = [] E = 100000000000000 y_m = y while E > error: if model == 'CART': self.G.append(CART(x, y_m, 'regression', max_depth=1)) self.M += 1 y_t = self.fit(x) E = np.sum((y_t - y) ** 2)...

GBDT

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GBDT: def __init__(self, x, y, model='CART', error=0.001): """Input x: data [N, M] y: label [N] model: base model, default is 'CART' error: training error""" <|body_0|> def fit(self, x): """Input x: forecast data [N, M] Output y: forecast label [N]""" <|body_...

stack_v2_sparse_classes_75kplus_train_001523

1,040

no_license

[ { "docstring": "Input x: data [N, M] y: label [N] model: base model, default is 'CART' error: training error", "name": "__init__", "signature": "def __init__(self, x, y, model='CART', error=0.001)" }, { "docstring": "Input x: forecast data [N, M] Output y: forecast label [N]", "name": "fit",...

2

stack_v2_sparse_classes_30k_train_012845

Implement the Python class `GBDT` described below. Class description: Implement the GBDT class. Method signatures and docstrings: - def __init__(self, x, y, model='CART', error=0.001): Input x: data [N, M] y: label [N] model: base model, default is 'CART' error: training error - def fit(self, x): Input x: forecast da...

6920d98411c386269687ea51a96958f803b10b5e

<|skeleton|> class GBDT: def __init__(self, x, y, model='CART', error=0.001): """Input x: data [N, M] y: label [N] model: base model, default is 'CART' error: training error""" <|body_0|> def fit(self, x): """Input x: forecast data [N, M] Output y: forecast label [N]""" <|body_...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GBDT: def __init__(self, x, y, model='CART', error=0.001): """Input x: data [N, M] y: label [N] model: base model, default is 'CART' error: training error""" self.M = 0 self.G = [] E = 100000000000000 y_m = y while E > error: if model == 'CART': ...

the_stack_v2_python_sparse

GBDT.py

chenchuanchang/Machine-Learning

train

2

26903bf867ae833d581046b7c91e20d657f4cc5e

[ "self.parser.add_argument('groupID', type=int, location='args', required=True, help='groupID验证失败')\nargs = self.parser.parse_args()\ngroupID = args['groupID']\nabort_if_todo_doesnt_exist_api_group(groupID)\nstatus_group = EoApiGroup.query.get(groupID)\nreturn status_group", "self.parser.add_argument('groupName', ...

<|body_start_0|> self.parser.add_argument('groupID', type=int, location='args', required=True, help='groupID验证失败') args = self.parser.parse_args() groupID = args['groupID'] abort_if_todo_doesnt_exist_api_group(groupID) status_group = EoApiGroup.query.get(groupID) return s...

ApiGroup

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001524

11,434

no_license

[ { "docstring": "获取api文档分组 :param groupID : 分组ID :return:", "name": "get", "signature": "def get(self)" }, { "docstring": "新增api文档分组 :return:", "name": "post", "signature": "def post(self)" }, { "docstring": "更新api文档分组详情 :return:", "name": "put", "signature": "def put(self...

4

stack_v2_sparse_classes_30k_train_009998

Implement the Python class `ApiGroup` described below. Class description: Implement the ApiGroup class. Method signatures and docstrings: - def get(self): 获取api文档分组 :param groupID : 分组ID :return: - def post(self): 新增api文档分组 :return: - def put(self): 更新api文档分组详情 :return: - def delete(self): :return:

Implement the Python class `ApiGroup` described below. Class description: Implement the ApiGroup class. Method signatures and docstrings: - def get(self): 获取api文档分组 :param groupID : 分组ID :return: - def post(self): 新增api文档分组 :return: - def put(self): 更新api文档分组详情 :return: - def delete(self): :return: <|skeleton|> clas...

a329cdbc722aca1b498bd00734415149167200dc

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ApiGroup: def get(self): """获取api文档分组 :param groupID : 分组ID :return:""" self.parser.add_argument('groupID', type=int, location='args', required=True, help='groupID验证失败') args = self.parser.parse_args() groupID = args['groupID'] abort_if_todo_doesnt_exist_api_group(group...

the_stack_v2_python_sparse

api/v1/api/Api.py

xiao2912008572/test_platform_api

train

0

02b6a8203c0724514107d7f971d1ac0a85593762

[ "def integrate() -> np.ndarray:\n Eg, stepsize = self.norm_pars.E_grid()\n Ex = self.norm_pars.Sn[0] - Eg\n integral = np.power(Eg, 3) * gsf(Eg).values * nld_warpper(Ex) * self.SpinSum(Ex, self.norm_pars.Jtarget)\n integral = np.sum(integral) * stepsize\n return integral\n\ndef nld_warpper(Ex) -> np....

<|body_start_0|> def integrate() -> np.ndarray: Eg, stepsize = self.norm_pars.E_grid() Ex = self.norm_pars.Sn[0] - Eg integral = np.power(Eg, 3) * gsf(Eg).values * nld_warpper(Ex) * self.SpinSum(Ex, self.norm_pars.Jtarget) integral = np.sum(integral) * stepsize ...

Calculate lnlike for Gg Attributes: Gg_model: model Gg

LnlikeGg

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LnlikeGg: """Calculate lnlike for Gg Attributes: Gg_model: model Gg""" def Gg_standard(self, nld: Callable[[float], Vector], gsf: Callable[[float], Vector], D0: float) -> float: """Compute normalization from <Γγ> (Gg) integral; overwrites parent See NormalizerGSF.Gg_standard, however...

stack_v2_sparse_classes_75kplus_train_001525

2,050

no_license

[ { "docstring": "Compute normalization from <Γγ> (Gg) integral; overwrites parent See NormalizerGSF.Gg_standard, however, now just using the given nld and gsf; no extra model Args: nld: function providing the nld at the an input energy E gsf: function providing the gsf at the an input energy E D0: D0 to use with...

2

null

Implement the Python class `LnlikeGg` described below. Class description: Calculate lnlike for Gg Attributes: Gg_model: model Gg Method signatures and docstrings: - def Gg_standard(self, nld: Callable[[float], Vector], gsf: Callable[[float], Vector], D0: float) -> float: Compute normalization from <Γγ> (Gg) integral;...

377f254bb2bdbc90e810c82889a5376683560e0e

<|skeleton|> class LnlikeGg: """Calculate lnlike for Gg Attributes: Gg_model: model Gg""" def Gg_standard(self, nld: Callable[[float], Vector], gsf: Callable[[float], Vector], D0: float) -> float: """Compute normalization from <Γγ> (Gg) integral; overwrites parent See NormalizerGSF.Gg_standard, however...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LnlikeGg: """Calculate lnlike for Gg Attributes: Gg_model: model Gg""" def Gg_standard(self, nld: Callable[[float], Vector], gsf: Callable[[float], Vector], D0: float) -> float: """Compute normalization from <Γγ> (Gg) integral; overwrites parent See NormalizerGSF.Gg_standard, however, now just us...

the_stack_v2_python_sparse

gledeli/lnlike_Gg.py

anderkve/gledeli

train

2

c6013f131a6b3e35cb594c75e7cd391dcc7d983f

[ "try:\n user = self.get_user(request, username)\nexcept PermissionDenied:\n return redirect(reverse('login') + '?next=' + request.path)\nlinks = Link.objects.select_related('category').filter(user=user).order_by('category__title', 'weight')\npalette = set((link.color for link in links))\ncategorized_links = d...

<|body_start_0|> try: user = self.get_user(request, username) except PermissionDenied: return redirect(reverse('login') + '?next=' + request.path) links = Link.objects.select_related('category').filter(user=user).order_by('category__title', 'weight') palette = set...

LinkView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001526

30,576

permissive

[ { "docstring": "Get list of links.", "name": "get", "signature": "def get(self, request, username=None)" }, { "docstring": "Form submit.", "name": "post", "signature": "def post(self, request, username=None)" }, { "docstring": "Delete link.", "name": "delete", "signature"...

3

stack_v2_sparse_classes_30k_train_019813

Implement the Python class `LinkView` described below. Class description: Implement the LinkView class. Method signatures and docstrings: - def get(self, request, username=None): Get list of links. - def post(self, request, username=None): Form submit. - def delete(self, request, pk, username=None): Delete link.

Implement the Python class `LinkView` described below. Class description: Implement the LinkView class. Method signatures and docstrings: - def get(self, request, username=None): Get list of links. - def post(self, request, username=None): Form submit. - def delete(self, request, pk, username=None): Delete link. <|s...

51a2ae2b29ae5c91a3cf7171f89edf225cc8a6f0

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LinkView: def get(self, request, username=None): """Get list of links.""" try: user = self.get_user(request, username) except PermissionDenied: return redirect(reverse('login') + '?next=' + request.path) links = Link.objects.select_related('category').fi...

the_stack_v2_python_sparse

tool/views/views.py

mikekeda/tools

train

0

c31649c33697dc264d0706938ab83fa194bfd7c0

[ "if len(matrix) == 0:\n return False\nif len(matrix[0]) == 0:\n return False\nreturn any((target in row for row in matrix))", "if len(matrix) == 0:\n return False\nif len(matrix[0]) == 0:\n return False\nj = -1\nfor row in matrix:\n while j + len(row) and row[j] > target:\n j -= 1\n if ro...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001527

3,286

no_license

[ { "docstring": ":type matrix: List[List[int]] :type target: int :rtype: bool", "name": "searchMatrix", "signature": "def searchMatrix(self, matrix, target)" }, { "docstring": ":type matrix: List[List[int]] :type target: int :rtype: bool", "name": "searchMatrix2", "signature": "def search...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def searchMatrix(self, matrix, target): :type matrix: List[List[int]] :type target: int :rtype: bool - def searchMatrix2(self, matrix, target): :type matrix: List[List[int]] :typ...

3f0ffd519404165fd1a735441b212c801fd1ad1e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def searchMatrix(self, matrix, target): """:type matrix: List[List[int]] :type target: int :rtype: bool""" if len(matrix) == 0: return False if len(matrix[0]) == 0: return False return any((target in row for row in matrix)) def searchMatri...

the_stack_v2_python_sparse

Problems/0200_0299/0240_Search_a_2D_Matrix2/Project_Python3/Search_a_2D_Matrix2.py

NobuyukiInoue/LeetCode

train

0

00aebdf3dfd86c7ea7580ca6118a1db55fb135ab

[ "self.slope = -1.0\nself.last_obs = -1.0\nself.last_obs_ind = -1\nself._fitted = False", "if X.size != y.size:\n raise ValueError(\"'X' and 'y' size must match.\")\nself.last_obs = y[-1]\nself.last_obs_ind = X[-1]\nif y.size > 1:\n self.slope = (y[-1] - y[0]) / (X[-1] - X[0])\nelse:\n self.slope = 0.0\ns...

Naive model with drift for time-series forecasting. In the drift model, the forecasts are equal to the last observation of a given time-series plus an additional value proportional to the forecasted timestamp. The attributed to the timestamp is estimated from the first and last observation of the given time-series.

TSNaiveDrift

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TSNaiveDrift: """Naive model with drift for time-series forecasting. In the drift model, the forecasts are equal to the last observation of a given time-series plus an additional value proportional to the forecasted timestamp. The attributed to the timestamp is estimated from the first and last o...

stack_v2_sparse_classes_75kplus_train_001528

12,299

permissive

[ { "docstring": "Init a Naive model with drift.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Fit a Naive model with drift. This model calculates the slope of the line crossing the first and last observation of ``y``, and stores it alongside the last observation value...

3

stack_v2_sparse_classes_30k_train_018929

Implement the Python class `TSNaiveDrift` described below. Class description: Naive model with drift for time-series forecasting. In the drift model, the forecasts are equal to the last observation of a given time-series plus an additional value proportional to the forecasted timestamp. The attributed to the timestamp...

61cc1f63fa055c7466151cfefa7baff8df1702b7

<|skeleton|> class TSNaiveDrift: """Naive model with drift for time-series forecasting. In the drift model, the forecasts are equal to the last observation of a given time-series plus an additional value proportional to the forecasted timestamp. The attributed to the timestamp is estimated from the first and last o...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TSNaiveDrift: """Naive model with drift for time-series forecasting. In the drift model, the forecasts are equal to the last observation of a given time-series plus an additional value proportional to the forecasted timestamp. The attributed to the timestamp is estimated from the first and last observation of...

the_stack_v2_python_sparse

tspymfe/_models.py

FelSiq/ts-pymfe

train

9

9c299051abb7e8dab6f12a35b9038c0d49fd05bc

[ "from apysc.expression import expression_file_util\nif not self._last_scope_is_if_or_elif():\n raise ValueError('Elif interface can only use right after If or Elif interfaces.\\n\\nMaybe you are using Int or String, or anything else comparison expression at Elif constructor (e.g., `with Elif(any_value == 10, ......

<|body_start_0|> from apysc.expression import expression_file_util if not self._last_scope_is_if_or_elif(): raise ValueError('Elif interface can only use right after If or Elif interfaces.\n\nMaybe you are using Int or String, or anything else comparison expression at Elif constructor (e.g.,...

Elif

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class Elif: def _append_enter_expression(self) -> None: """Append else if branch instruction start expression to file. Raises ------ ValueError If the last scope is not If or Elif.""" <|body_0|> def _set_last_scope(self) -> None: """Set expression last scope value.""" ...

stack_v2_sparse_classes_75kplus_train_001529

1,724

permissive

[ { "docstring": "Append else if branch instruction start expression to file. Raises ------ ValueError If the last scope is not If or Elif.", "name": "_append_enter_expression", "signature": "def _append_enter_expression(self) -> None" }, { "docstring": "Set expression last scope value.", "nam...

2

stack_v2_sparse_classes_30k_train_007006

Implement the Python class `Elif` described below. Class description: Implement the Elif class. Method signatures and docstrings: - def _append_enter_expression(self) -> None: Append else if branch instruction start expression to file. Raises ------ ValueError If the last scope is not If or Elif. - def _set_last_scop...

5c6a4674e2e9684cb2cb1325dc9b070879d4d355

<|skeleton|> class Elif: def _append_enter_expression(self) -> None: """Append else if branch instruction start expression to file. Raises ------ ValueError If the last scope is not If or Elif.""" <|body_0|> def _set_last_scope(self) -> None: """Set expression last scope value.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Elif: def _append_enter_expression(self) -> None: """Append else if branch instruction start expression to file. Raises ------ ValueError If the last scope is not If or Elif.""" from apysc.expression import expression_file_util if not self._last_scope_is_if_or_elif(): raise...

the_stack_v2_python_sparse

apysc/branch/_elif.py

TrendingTechnology/apysc

train

0

1bc695ef067e4c1b9174d79b3382c084aab0f8a5

[ "post = create_post(title='motley smells bad')\npost_comment = create_post_comment(post=post)\nself.assertEqual(post_comment.post_title(), 'motley smells bad')", "anonymous_user = create_anonymous_user(is_blocked=True)\npost_comment = create_post_comment(anonymous_user=anonymous_user)\nself.assertTrue(post_commen...

Test cases for post comments

PostCommentCase

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001530

3,246

no_license

[ { "docstring": "Tests the comment post title", "name": "test_post_title", "signature": "def test_post_title(self)" }, { "docstring": "Tests the commented user is blocked and not blocked", "name": "test_is_user_blocked", "signature": "def test_is_user_blocked(self)" } ]

2

stack_v2_sparse_classes_30k_train_012316

Implement the Python class `PostCommentCase` described below. Class description: Test cases for post comments Method signatures and docstrings: - def test_post_title(self): Tests the comment post title - def test_is_user_blocked(self): Tests the commented user is blocked and not blocked

Implement the Python class `PostCommentCase` described below. Class description: Test cases for post comments Method signatures and docstrings: - def test_post_title(self): Tests the comment post title - def test_is_user_blocked(self): Tests the commented user is blocked and not blocked <|skeleton|> class PostCommen...

eecfaf03287fdb0ee590d7ee61c0c041c0eb819a

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PostCommentCase: """Test cases for post comments""" def test_post_title(self): """Tests the comment post title""" post = create_post(title='motley smells bad') post_comment = create_post_comment(post=post) self.assertEqual(post_comment.post_title(), 'motley smells bad') ...

the_stack_v2_python_sparse

blog/tests.py

jwdepetro/avocadoist

train

0

38cfe0f5bda3e41a51628ae02c58ccc004238a8e

[ "self.capacity = capacity\nself.node_map = {}\nself.head = None\nself.tail = None", "if key not in self.node_map:\n return -1\nnode = self.node_map[key]\nif node.next != None:\n if node.prev == None:\n self.head = self.head.next\n self.head.prev = None\n else:\n node.prev.next = node...

<|body_start_0|> self.capacity = capacity self.node_map = {} self.head = None self.tail = None <|end_body_0|> <|body_start_1|> if key not in self.node_map: return -1 node = self.node_map[key] if node.next != None: if node.prev == None: ...

LRUCache2

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001531

22,676

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: None", "name": "pu...

3

stack_v2_sparse_classes_30k_train_003386

Implement the Python class `LRUCache2` described below. Class description: Implement the LRUCache2 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: None

Implement the Python class `LRUCache2` described below. Class description: Implement the LRUCache2 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: None <|...

dbe8eb449e5b112a71bc1cd4eabfd138304de4a3

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LRUCache2: def __init__(self, capacity): """:type capacity: int""" self.capacity = capacity self.node_map = {} self.head = None self.tail = None def get(self, key): """:type key: int :rtype: int""" if key not in self.node_map: return -1 ...

the_stack_v2_python_sparse

leetcode/leetcode_special.py

Rivarrl/leetcode_python

train

3

78f5e717712b08efeecae9f439d9373ec3022a19

[ "url = DAILYMILE_USERINFO + '?oauth_token=%s' % access_token\nres = requests.get(url)\ntry:\n return json.loads(res.text)\nexcept ValueError:\n return None", "if self.STATE_PARAMETER or self.REDIRECT_STATE:\n name = self.AUTH_BACKEND.name + '_state'\n state = self.request.session.get(name) or self.sta...

NikeAuth

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001532

3,794

no_license

[ { "docstring": "Loads user data from service", "name": "user_data", "signature": "def user_data(self, access_token, *args, **kwargs)" }, { "docstring": "Return redirect url", "name": "auth_url", "signature": "def auth_url(self)" } ]

2

stack_v2_sparse_classes_30k_train_051135

Implement the Python class `NikeAuth` described below. Class description: Implement the NikeAuth class. Method signatures and docstrings: - def user_data(self, access_token, *args, **kwargs): Loads user data from service - def auth_url(self): Return redirect url

Implement the Python class `NikeAuth` described below. Class description: Implement the NikeAuth class. Method signatures and docstrings: - def user_data(self, access_token, *args, **kwargs): Loads user data from service - def auth_url(self): Return redirect url <|skeleton|> class NikeAuth: def user_data(self, ...

e64631edbd49eb38f4520c25a9f6d08fae588bd8

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NikeAuth: def user_data(self, access_token, *args, **kwargs): """Loads user data from service""" url = DAILYMILE_USERINFO + '?oauth_token=%s' % access_token res = requests.get(url) try: return json.loads(res.text) except ValueError: return None ...

the_stack_v2_python_sparse

physical/auth_backends/nike.py

wikilife-org/datadonor

train

3

20650ab387df05d348336c4b4f5f11dbc12393fc

[ "self.event_loop: asyncio.AbstractEventLoop = asyncio.get_event_loop()\nself.logger = logging.getLogger('APP')\nself.name: str = name\ntry:\n self.event_loop.add_signal_handler(signal.SIGINT, self.on_signal, signal.SIGINT)\n self.event_loop.add_signal_handler(signal.SIGTERM, self.on_signal, signal.SIGTERM)\ne...

<|body_start_0|> self.event_loop: asyncio.AbstractEventLoop = asyncio.get_event_loop() self.logger = logging.getLogger('APP') self.name: str = name try: self.event_loop.add_signal_handler(signal.SIGINT, self.on_signal, signal.SIGINT) self.event_loop.add_signal_han...

Standard application setup.

Application

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Application: """Standard application setup.""" def __init__(self, name: str, config_validator: Optional[Callable]=None): """Initialise a new instance of the Application class.""" <|body_0|> def on_signal(self, signum: int) -> None: """Called when a signal is rece...

stack_v2_sparse_classes_75kplus_train_001533

2,583

no_license

[ { "docstring": "Initialise a new instance of the Application class.", "name": "__init__", "signature": "def __init__(self, name: str, config_validator: Optional[Callable]=None)" }, { "docstring": "Called when a signal is received.", "name": "on_signal", "signature": "def on_signal(self, ...

3

null

Implement the Python class `Application` described below. Class description: Standard application setup. Method signatures and docstrings: - def __init__(self, name: str, config_validator: Optional[Callable]=None): Initialise a new instance of the Application class. - def on_signal(self, signum: int) -> None: Called ...

b9e15977c212c8c669514a41b8a6d791f6502ca4

<|skeleton|> class Application: """Standard application setup.""" def __init__(self, name: str, config_validator: Optional[Callable]=None): """Initialise a new instance of the Application class.""" <|body_0|> def on_signal(self, signum: int) -> None: """Called when a signal is rece...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Application: """Standard application setup.""" def __init__(self, name: str, config_validator: Optional[Callable]=None): """Initialise a new instance of the Application class.""" self.event_loop: asyncio.AbstractEventLoop = asyncio.get_event_loop() self.logger = logging.getLogger(...

the_stack_v2_python_sparse

ready_trader_one/application.py

jermainejanszen/ready_trader_one_2020

train

1

19a34895e7fa45e92962f3cfff2566a06d42ac0e

[ "self.aag_backup_preference_type = aag_backup_preference_type\nself.advanced_settings = advanced_settings\nself.backup_database_volumes_only = backup_database_volumes_only\nself.backup_system_dbs = backup_system_dbs\nself.continue_after_error = continue_after_error\nself.enable_checksum = enable_checksum\nself.enab...

<|body_start_0|> self.aag_backup_preference_type = aag_backup_preference_type self.advanced_settings = advanced_settings self.backup_database_volumes_only = backup_database_volumes_only self.backup_system_dbs = backup_system_dbs self.continue_after_error = continue_after_error ...

Implementation of the 'SqlBackupJobParams' model. Message to capture additional backup job params specific to SQL. Attributes: aag_backup_preference_type (int): Preference type for backing up databases that are part of an AAG. Only applicable if 'use_aag_preferences_from_sql_server' is set to false. advanced_settings (...

SqlBackupJobParams

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SqlBackupJobParams: """Implementation of the 'SqlBackupJobParams' model. Message to capture additional backup job params specific to SQL. Attributes: aag_backup_preference_type (int): Preference type for backing up databases that are part of an AAG. Only applicable if 'use_aag_preferences_from_sq...

stack_v2_sparse_classes_75kplus_train_001534

9,427

permissive

[ { "docstring": "Constructor for the SqlBackupJobParams class", "name": "__init__", "signature": "def __init__(self, aag_backup_preference_type=None, advanced_settings=None, backup_database_volumes_only=None, backup_system_dbs=None, continue_after_error=None, enable_checksum=None, enable_incremental_back...

2

stack_v2_sparse_classes_30k_train_031165

Implement the Python class `SqlBackupJobParams` described below. Class description: Implementation of the 'SqlBackupJobParams' model. Message to capture additional backup job params specific to SQL. Attributes: aag_backup_preference_type (int): Preference type for backing up databases that are part of an AAG. Only app...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class SqlBackupJobParams: """Implementation of the 'SqlBackupJobParams' model. Message to capture additional backup job params specific to SQL. Attributes: aag_backup_preference_type (int): Preference type for backing up databases that are part of an AAG. Only applicable if 'use_aag_preferences_from_sq...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SqlBackupJobParams: """Implementation of the 'SqlBackupJobParams' model. Message to capture additional backup job params specific to SQL. Attributes: aag_backup_preference_type (int): Preference type for backing up databases that are part of an AAG. Only applicable if 'use_aag_preferences_from_sql_server' is ...

the_stack_v2_python_sparse

cohesity_management_sdk/models/sql_backup_job_params.py

cohesity/management-sdk-python

train

24

6a930c8a1353c5becbaa2a1cf78191bacd40dd5c

[ "cur = head\na = []\nwhile cur:\n a.append(cur.val)\n cur = cur.next\nfor i in range(len(a)):\n if a[i] != a[len(a) - 1 - i]:\n return False\nreturn True", "if not head.next:\n return True\ndummy = ListNode()\ndummy.next = head\none, two = (dummy, dummy)\nwhile two and two.next:\n one = one....

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def isPalindrome(self, head: ListNode) -> bool: """Time Complexity : O(N), Space Complexity : O(N) Solution : list만들어서 two pointer로 비교""" <|body_0|> def isPalindrome(self, head: ListNode) -> bool: """Time Complexity : O(N), Space Complexity : O(1) Solution ...

stack_v2_sparse_classes_75kplus_train_001535

2,407

no_license

[ { "docstring": "Time Complexity : O(N), Space Complexity : O(N) Solution : list만들어서 two pointer로 비교", "name": "isPalindrome", "signature": "def isPalindrome(self, head: ListNode) -> bool" }, { "docstring": "Time Complexity : O(N), Space Complexity : O(1) Solution : 아래 방식과 동일한데 절반 위치를 구하고 리스트를 분리...

3

stack_v2_sparse_classes_30k_train_008443

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def isPalindrome(self, head: ListNode) -> bool: Time Complexity : O(N), Space Complexity : O(N) Solution : list만들어서 two pointer로 비교 - def isPalindrome(self, head: ListNode) -> bo...

c26aef2a59e5cc2d9b0658b9c7386a43267ff8a1

<|skeleton|> class Solution: def isPalindrome(self, head: ListNode) -> bool: """Time Complexity : O(N), Space Complexity : O(N) Solution : list만들어서 two pointer로 비교""" <|body_0|> def isPalindrome(self, head: ListNode) -> bool: """Time Complexity : O(N), Space Complexity : O(1) Solution ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def isPalindrome(self, head: ListNode) -> bool: """Time Complexity : O(N), Space Complexity : O(N) Solution : list만들어서 two pointer로 비교""" cur = head a = [] while cur: a.append(cur.val) cur = cur.next for i in range(len(a)): ...

the_stack_v2_python_sparse

Leetcode/Palindrome_Linked_List.py

hanwgyu/algorithm_problem_solving

train

5

8a071d31064ba894c446a0212ab06d415af08d3d

[ "if not root:\n return []\nres = [root.val] + [self.serialize(root.left)] + [self.serialize(root.right)]\nreturn res", "if len(data) == 0:\n return None\nroot = TreeNode(data[0])\nroot.left = self.deserialize(data[1])\nroot.right = self.deserialize(data[2])\nreturn root" ]

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001536

5,388

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_013181

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:...

f96a2273c6831a8035e1adacfa452f73c599ae16

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 not root: return [] res = [root.val] + [self.serialize(root.left)] + [self.serialize(root.right)] return res def deserialize(self, data): """D...

the_stack_v2_python_sparse

Python/SerializeandDeserializeBinaryTree.py

here0009/LeetCode

train

1

650d9745a03acc51189b522f64365069285268ff

[ "compra = get_compra_id(id_compra)\nif not compra:\n api.abort(404)\nelse:\n return compra", "data = request.json\ncompra = update_compra(id_compra, data)\nif not compra:\n api.abort(404)\nelse:\n return compra", "compra = delete_compra(id_compra)\nif not compra:\n api.abort(404)\nelse:\n retu...

Compra

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001537

1,806

no_license

[ { "docstring": "get a compra given its identifier", "name": "get", "signature": "def get(self, id_compra)" }, { "docstring": "update a compra given its identifier", "name": "put", "signature": "def put(self, id_compra)" }, { "docstring": "delete a compra given its identifier", ...

3

stack_v2_sparse_classes_30k_train_022656

Implement the Python class `Compra` described below. Class description: Implement the Compra class. Method signatures and docstrings: - def get(self, id_compra): get a compra given its identifier - def put(self, id_compra): update a compra given its identifier - def delete(self, id_compra): delete a compra given its ...

e3e6d716102280e73932e5eba65b2ff27eec45e0

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Compra: def get(self, id_compra): """get a compra given its identifier""" compra = get_compra_id(id_compra) if not compra: api.abort(404) else: return compra def put(self, id_compra): """update a compra given its identifier""" data =...

the_stack_v2_python_sparse

app/main/controller/compra_controller.py

Team-3-TCS/api-my-store

train

1

12f6fa59b3629c627673e7e4078a8547a6b87181

[ "env_names = []\nfor env_name in list(external_dccs.keys()):\n env_data = external_dccs[env_name]\n env_names.append(name_format.replace('%n', env_data['name']).replace('%e', env_data['extensions'][0]))\nreturn env_names", "if not isinstance(name, str):\n raise TypeError('\"name\" argument in %s.get_env(...

<|body_start_0|> env_names = [] for env_name in list(external_dccs.keys()): env_data = external_dccs[env_name] env_names.append(name_format.replace('%n', env_data['name']).replace('%e', env_data['extensions'][0])) return env_names <|end_body_0|> <|body_start_1|> ...

A factory for External DCCs. A Factory object for DCCs. Generates :class:`ExternalDCC` instances.

ExternalDCCFactory

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ExternalDCCFactory: """A factory for External DCCs. A Factory object for DCCs. Generates :class:`ExternalDCC` instances.""" def get_env_names(cls, name_format='%n'): """returns a list of DCC names which it is possible to create one DCC. :param str name_format: A string showing the fo...

stack_v2_sparse_classes_75kplus_train_001538

10,666

permissive

[ { "docstring": "returns a list of DCC names which it is possible to create one DCC. :param str name_format: A string showing the format of the output variables: %n : the name of the Environment %e : the extension of the Environment :return list: list", "name": "get_env_names", "signature": "def get_env_...

2

stack_v2_sparse_classes_30k_train_015119

Implement the Python class `ExternalDCCFactory` described below. Class description: A factory for External DCCs. A Factory object for DCCs. Generates :class:`ExternalDCC` instances. Method signatures and docstrings: - def get_env_names(cls, name_format='%n'): returns a list of DCC names which it is possible to create...

7b4cf60cb17f00435ecc3e03d573a9e2d0b44fe0

<|skeleton|> class ExternalDCCFactory: """A factory for External DCCs. A Factory object for DCCs. Generates :class:`ExternalDCC` instances.""" def get_env_names(cls, name_format='%n'): """returns a list of DCC names which it is possible to create one DCC. :param str name_format: A string showing the fo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ExternalDCCFactory: """A factory for External DCCs. A Factory object for DCCs. Generates :class:`ExternalDCC` instances.""" def get_env_names(cls, name_format='%n'): """returns a list of DCC names which it is possible to create one DCC. :param str name_format: A string showing the format of the o...

the_stack_v2_python_sparse

anima/dcc/external.py

eoyilmaz/anima

train

113

270a925b9e09c08294c2a446c3450f625c0f62cb

[ "self.small = []\nself.large = []\nheapq.heapify(self.small)\nheapq.heapify(self.large)", "min_large = heapq.heappushpop(self.large, num)\nheapq.heappush(self.small, -min_large)\nif len(self.small) > len(self.large):\n heapq.heappush(self.large, -heapq.heappop(self.small))", "if len(self.large) > len(self.sm...

MedianFinder

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001539

1,510

no_license

[ { "docstring": "initialize your data structure here.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": ":type num: int :rtype: None", "name": "addNum", "signature": "def addNum(self, num)" }, { "docstring": ":rtype: float", "name": "findMedian", "s...

3

stack_v2_sparse_classes_30k_train_020177

Implement the Python class `MedianFinder` described below. Class description: Implement the MedianFinder class. Method signatures and docstrings: - def __init__(self): initialize your data structure here. - def addNum(self, num): :type num: int :rtype: None - def findMedian(self): :rtype: float

Implement the Python class `MedianFinder` described below. Class description: Implement the MedianFinder class. Method signatures and docstrings: - def __init__(self): initialize your data structure here. - def addNum(self, num): :type num: int :rtype: None - def findMedian(self): :rtype: float <|skeleton|> class Me...

edff905f63ab95cdd40447b27a9c449c9cefec37

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MedianFinder: def __init__(self): """initialize your data structure here.""" self.small = [] self.large = [] heapq.heapify(self.small) heapq.heapify(self.large) def addNum(self, num): """:type num: int :rtype: None""" min_large = heapq.heappushpop(s...

the_stack_v2_python_sparse

_0295_Find_Median_from_Data_Stream.py

mingweihe/leetcode

train

3

24324ffa4eec74dc7d46eda2d237b974f6e8e686

[ "s = specialmanage(self.driver)\ns.open_specialmanage()\nself.assertEqual(s.verify(), True)\ns.modify_obj()\nself.assertEqual(s.sub_tagname(), '企业专业表-修改')\nself.assertEqual(s.company_status(), False)\ns.name_clear()\ns.add_special('Update')\ns.add_save()\nfunction.screenshot(self.driver, 'modify_special_name.jpg')"...

<|body_start_0|> s = specialmanage(self.driver) s.open_specialmanage() self.assertEqual(s.verify(), True) s.modify_obj() self.assertEqual(s.sub_tagname(), '企业专业表-修改') self.assertEqual(s.company_status(), False) s.name_clear() s.add_special('Update') ...

Test041_Special_Modify_P1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001540

1,131

no_license

[ { "docstring": "修改专业名", "name": "test_modify_name", "signature": "def test_modify_name(self)" }, { "docstring": "修改专业并返回", "name": "test_back", "signature": "def test_back(self)" } ]

2

stack_v2_sparse_classes_30k_train_021049

Implement the Python class `Test041_Special_Modify_P1` described below. Class description: Implement the Test041_Special_Modify_P1 class. Method signatures and docstrings: - def test_modify_name(self): 修改专业名 - def test_back(self): 修改专业并返回

Implement the Python class `Test041_Special_Modify_P1` described below. Class description: Implement the Test041_Special_Modify_P1 class. Method signatures and docstrings: - def test_modify_name(self): 修改专业名 - def test_back(self): 修改专业并返回 <|skeleton|> class Test041_Special_Modify_P1: def test_modify_name(self):...

6f42c25249fc642cecc270578a180820988d45b5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Test041_Special_Modify_P1: def test_modify_name(self): """修改专业名""" s = specialmanage(self.driver) s.open_specialmanage() self.assertEqual(s.verify(), True) s.modify_obj() self.assertEqual(s.sub_tagname(), '企业专业表-修改') self.assertEqual(s.company_status(), ...

the_stack_v2_python_sparse

GlxssLive_web/TestCase/Manage_Special/Test041_special_modify_P1.py

rrmiracle/GlxssLive

train

0

c01ddf1193a1d44a0a89c05efc524b313f967a8b

[ "if len(nums) < 2:\n return []\ni, j = (0, len(nums) - 1)\nresult = []\nunique_num = []\nwhile i < j:\n sum = nums[i] + nums[j]\n if sum > target:\n j -= 1\n elif sum < target:\n i += 1\n elif nums[i] in unique_num:\n i += 1\n else:\n result.append([nums[i], nums[j]])\n...

<|body_start_0|> if len(nums) < 2: return [] i, j = (0, len(nums) - 1) result = [] unique_num = [] while i < j: sum = nums[i] + nums[j] if sum > target: j -= 1 elif sum < target: i += 1 el...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def twoSum(self, nums, target): """:param nums: :param target: :return: >>> s = Solution() >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], 0) [[-1, 1], [0, 0]] >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], -2) [[-2, 0]]""" <|body_0|> def threeSum(self, nums, target): """...

stack_v2_sparse_classes_75kplus_train_001541

3,912

no_license

[ { "docstring": ":param nums: :param target: :return: >>> s = Solution() >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], 0) [[-1, 1], [0, 0]] >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], -2) [[-2, 0]]", "name": "twoSum", "signature": "def twoSum(self, nums, target)" }, { "docstring": ":param nums: :param targ...

3

stack_v2_sparse_classes_30k_train_004993

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def twoSum(self, nums, target): :param nums: :param target: :return: >>> s = Solution() >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], 0) [[-1, 1], [0, 0]] >>> s.twoSum([-2, -2, -2, -1,...

3b13a02f9c8273f9794a57b948d2655792707f37

<|skeleton|> class Solution: def twoSum(self, nums, target): """:param nums: :param target: :return: >>> s = Solution() >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], 0) [[-1, 1], [0, 0]] >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], -2) [[-2, 0]]""" <|body_0|> def threeSum(self, nums, target): """...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def twoSum(self, nums, target): """:param nums: :param target: :return: >>> s = Solution() >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], 0) [[-1, 1], [0, 0]] >>> s.twoSum([-2, -2, -2, -1, 0, 0 ,1], -2) [[-2, 0]]""" if len(nums) < 2: return [] i, j = (0, len(nums) - 1) ...

the_stack_v2_python_sparse

4sum.py

gsy/leetcode

train

1

d2328f8b7d64c21a461b3abfaff5f48f32412ec7

[ "refresh_django_db_connection()\njob = Job.objects.get(pk=int(kwargs['job_id']))\njob_track = JobTrack(job_id=job.id)\njob_track.save()\ninput_job = Job.objects.get(pk=int(kwargs['input_job_id']))\nbounds = get_job_db_bounds(input_job)\nsqldf = spark.read.jdbc(settings.COMBINE_DATABASE['jdbc_url'], 'core_record', p...

<|body_start_0|> refresh_django_db_connection() job = Job.objects.get(pk=int(kwargs['job_id'])) job_track = JobTrack(job_id=job.id) job_track.save() input_job = Job.objects.get(pk=int(kwargs['input_job_id'])) bounds = get_job_db_bounds(input_job) sqldf = spark.rea...

Spark code for Transform jobs

TransformSpark

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TransformSpark: """Spark code for Transform jobs""" def spark_function(spark, **kwargs): """Transform records based on Transformation Scenario. Args: spark (pyspark.sql.session.SparkSession): provided by pyspark context kwargs: job_id (int): Job ID job_input (str): location of avro f...

stack_v2_sparse_classes_75kplus_train_001542

28,601

permissive

[ { "docstring": "Transform records based on Transformation Scenario. Args: spark (pyspark.sql.session.SparkSession): provided by pyspark context kwargs: job_id (int): Job ID job_input (str): location of avro files on disk transformation_id (str): id of Transformation Scenario index_mapper (str): class name from ...

3

stack_v2_sparse_classes_30k_val_001530

Implement the Python class `TransformSpark` described below. Class description: Spark code for Transform jobs Method signatures and docstrings: - def spark_function(spark, **kwargs): Transform records based on Transformation Scenario. Args: spark (pyspark.sql.session.SparkSession): provided by pyspark context kwargs:...

d3a35783f008b8665030d49c61d41de7b07a342d

<|skeleton|> class TransformSpark: """Spark code for Transform jobs""" def spark_function(spark, **kwargs): """Transform records based on Transformation Scenario. Args: spark (pyspark.sql.session.SparkSession): provided by pyspark context kwargs: job_id (int): Job ID job_input (str): location of avro f...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TransformSpark: """Spark code for Transform jobs""" def spark_function(spark, **kwargs): """Transform records based on Transformation Scenario. Args: spark (pyspark.sql.session.SparkSession): provided by pyspark context kwargs: job_id (int): Job ID job_input (str): location of avro files on disk ...

the_stack_v2_python_sparse

core/spark/jobs.py

blancoj/combine

train

0

abc4e4ef09fd4da1cc6df66a3f00982d0f022ea4

[ "if graph.is_directed():\n raise ValueError('the graph is directed')\nself.graph = graph\nfor edge in self.graph.iteredges():\n if edge.source == edge.target:\n raise ValueError('a loop detected')\nself.independent_set = dict(((node, False) for node in self.graph.iternodes()))\nself.cardinality = 0\nse...

<|body_start_0|> if graph.is_directed(): raise ValueError('the graph is directed') self.graph = graph for edge in self.graph.iteredges(): if edge.source == edge.target: raise ValueError('a loop detected') self.independent_set = dict(((node, False) ...

Find a maximal independent set.

UnorderedSequentialIndependentSet3

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001543

3,887

permissive

[ { "docstring": "The algorithm initialization.", "name": "__init__", "signature": "def __init__(self, graph)" }, { "docstring": "Executable pseudocode.", "name": "run", "signature": "def run(self, source=None)" } ]

2

stack_v2_sparse_classes_30k_train_032653

Implement the Python class `UnorderedSequentialIndependentSet3` described below. Class description: Find a maximal independent set. Method signatures and docstrings: - def __init__(self, graph): The algorithm initialization. - def run(self, source=None): Executable pseudocode.

Implement the Python class `UnorderedSequentialIndependentSet3` described below. Class description: Find a maximal independent set. Method signatures and docstrings: - def __init__(self, graph): The algorithm initialization. - def run(self, source=None): Executable pseudocode. <|skeleton|> class UnorderedSequentialI...

0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class UnorderedSequentialIndependentSet3: """Find a maximal independent set.""" def __init__(self, graph): """The algorithm initialization.""" if graph.is_directed(): raise ValueError('the graph is directed') self.graph = graph for edge in self.graph.iteredges(): ...

the_stack_v2_python_sparse

graphtheory/independentsets/isetus.py

kgashok/graphs-dict

train

0

a3514ffc12c733a8ad002fb98ad24e13115460e3

[ "action = 'ill-brwreq-patron-loan-extension-request'\npermissions = current_app.config['ILS_VIEWS_PERMISSIONS_FACTORY']\nview_permission = permissions(action)\nreturn view_permission(record)", "self.loader()\nself.validate_loan(record)\nrecord.patron_loan.extension.request()\nrecord.commit()\ndb.session.commit()\...

Request extensions endpoint.

RequestPatronLoanExtensionResource

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class RequestPatronLoanExtensionResource: """Request extensions endpoint.""" def request_extension_permission_factory(self, record): """Request extension permission factory.""" <|body_0|> def post(self, pid, record, **kwargs): """Request extension action implementation...

stack_v2_sparse_classes_75kplus_train_001544

6,621

permissive

[ { "docstring": "Request extension permission factory.", "name": "request_extension_permission_factory", "signature": "def request_extension_permission_factory(self, record)" }, { "docstring": "Request extension action implementation.", "name": "post", "signature": "def post(self, pid, re...

2

stack_v2_sparse_classes_30k_train_012954

Implement the Python class `RequestPatronLoanExtensionResource` described below. Class description: Request extensions endpoint. Method signatures and docstrings: - def request_extension_permission_factory(self, record): Request extension permission factory. - def post(self, pid, record, **kwargs): Request extension ...

1c36526e85510100c5f64059518d1b716d87ac10

<|skeleton|> class RequestPatronLoanExtensionResource: """Request extensions endpoint.""" def request_extension_permission_factory(self, record): """Request extension permission factory.""" <|body_0|> def post(self, pid, record, **kwargs): """Request extension action implementation...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RequestPatronLoanExtensionResource: """Request extensions endpoint.""" def request_extension_permission_factory(self, record): """Request extension permission factory.""" action = 'ill-brwreq-patron-loan-extension-request' permissions = current_app.config['ILS_VIEWS_PERMISSIONS_FA...

the_stack_v2_python_sparse

invenio_app_ils/ill/views.py

inveniosoftware/invenio-app-ils

train

64

231b9c86fcad9a224466518886a8356e98813ff4

[ "for arg in self.non_number_values:\n self.assertRaises(TypeError, prev1.proper_dividers_list, arg)\nfor arg, val in self.proper_dividers_values:\n self.assertEqual(prev1.proper_dividers_list(arg), val)", "for arg in self.non_number_values:\n self.assertRaises(TypeError, prev1.proper_dividers_fun, arg)\n...

TestProperDividers

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001545

8,451

no_license

[ { "docstring": "Testing proper_dividers_list function", "name": "test_proper_dividers_list", "signature": "def test_proper_dividers_list(self)" }, { "docstring": "Testing proper_dividers_fun function", "name": "test_proper_dividers_fun", "signature": "def test_proper_dividers_fun(self)" ...

4

stack_v2_sparse_classes_30k_train_008754

Implement the Python class `TestProperDividers` described below. Class description: Implement the TestProperDividers class. Method signatures and docstrings: - def test_proper_dividers_list(self): Testing proper_dividers_list function - def test_proper_dividers_fun(self): Testing proper_dividers_fun function - def te...

0cd4bbe3feb63b248d643303433f9fb2fc2def79

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestProperDividers: def test_proper_dividers_list(self): """Testing proper_dividers_list function""" for arg in self.non_number_values: self.assertRaises(TypeError, prev1.proper_dividers_list, arg) for arg, val in self.proper_dividers_values: self.assertEqual(pr...

the_stack_v2_python_sparse

Python - advanced course/Solutions/9/9.1.py

maxymilianz/CS-at-University-of-Wroclaw

train

0

cd36b10f73e74d82c3b5a7486b1da0353763443a

[ "if self.extra_reason_visible:\n tmp_reason = self.extra_reason\nelse:\n tmp_reason = self.reason.reason\nself.env['metro_park_dispatch.detain_his_info'].create({'reason': tmp_reason, 'cur_train': self.cur_train.id, 'start_date': self.start_date, 'end_date': self.end_date, 'type': 'detain'})", "extra_reason...

<|body_start_0|> if self.extra_reason_visible: tmp_reason = self.extra_reason else: tmp_reason = self.reason.reason self.env['metro_park_dispatch.detain_his_info'].create({'reason': tmp_reason, 'cur_train': self.cur_train.id, 'start_date': self.start_date, 'end_date': sel...

扣车向导

DetainWizard

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001546

1,700

no_license

[ { "docstring": "点击确定按扭 :return:", "name": "on_ok", "signature": "def on_ok(self)" }, { "docstring": "改变扣车原因，如果是其它的话则显示extra_reason :return:", "name": "on_change_reason", "signature": "def on_change_reason(self)" } ]

2

stack_v2_sparse_classes_30k_train_016876

Implement the Python class `DetainWizard` described below. Class description: 扣车向导 Method signatures and docstrings: - def on_ok(self): 点击确定按扭 :return: - def on_change_reason(self): 改变扣车原因，如果是其它的话则显示extra_reason :return:

Implement the Python class `DetainWizard` described below. Class description: 扣车向导 Method signatures and docstrings: - def on_ok(self): 点击确定按扭 :return: - def on_change_reason(self): 改变扣车原因，如果是其它的话则显示extra_reason :return: <|skeleton|> class DetainWizard: """扣车向导""" def on_ok(self): """点击确定按扭 :return:...

13b428a5c4ade6278e3e5e996ef10d9fb0fea4b9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DetainWizard: """扣车向导""" def on_ok(self): """点击确定按扭 :return:""" if self.extra_reason_visible: tmp_reason = self.extra_reason else: tmp_reason = self.reason.reason self.env['metro_park_dispatch.detain_his_info'].create({'reason': tmp_reason, 'cur_tra...

the_stack_v2_python_sparse

mdias_addons/metro_park_dispatch/models/detain_wizard.py

rezaghanimi/main_mdias

train

0

c7482a4492bc592cc99600fee56a50122fb06b53

[ "self.kw = kwargs\nStep.__init__(self, *args, routine=routine, **kwargs)\nramsey_settings = self.parse_settings(self.get_requested_settings())\nqbcal.Ramsey.__init__(self, dev=self.dev, **ramsey_settings)", "kwargs = {}\ntask_list = []\nfor qb in self.qubits:\n task = {}\n task_list_fields = requested_kwarg...

<|body_start_0|> self.kw = kwargs Step.__init__(self, *args, routine=routine, **kwargs) ramsey_settings = self.parse_settings(self.get_requested_settings()) qbcal.Ramsey.__init__(self, dev=self.dev, **ramsey_settings) <|end_body_0|> <|body_start_1|> kwargs = {} task_list...

A wrapper class for the Ramsey experiment.

RamseyStep

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RamseyStep: """A wrapper class for the Ramsey experiment.""" def __init__(self, routine, *args, **kwargs): """Initializes the RamseyStep class, which also includes initialization of the Ramsey experiment. Args: routine (Step obj): The parent routine Keyword args: qubits (list): list ...

stack_v2_sparse_classes_75kplus_train_001547

48,290

permissive

[ { "docstring": "Initializes the RamseyStep class, which also includes initialization of the Ramsey experiment. Args: routine (Step obj): The parent routine Keyword args: qubits (list): list of qubits to be used in the routine Configuration parameters (coming from the configuration parameter dictionary): transit...

4

stack_v2_sparse_classes_30k_train_007296

Implement the Python class `RamseyStep` described below. Class description: A wrapper class for the Ramsey experiment. Method signatures and docstrings: - def __init__(self, routine, *args, **kwargs): Initializes the RamseyStep class, which also includes initialization of the Ramsey experiment. Args: routine (Step ob...

bc6733d774fe31a23f4c7e73e5eb0beed8d30e7d

<|skeleton|> class RamseyStep: """A wrapper class for the Ramsey experiment.""" def __init__(self, routine, *args, **kwargs): """Initializes the RamseyStep class, which also includes initialization of the Ramsey experiment. Args: routine (Step obj): The parent routine Keyword args: qubits (list): list ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RamseyStep: """A wrapper class for the Ramsey experiment.""" def __init__(self, routine, *args, **kwargs): """Initializes the RamseyStep class, which also includes initialization of the Ramsey experiment. Args: routine (Step obj): The parent routine Keyword args: qubits (list): list of qubits to ...

the_stack_v2_python_sparse

pycqed/measurement/calibration/automatic_calibration_routines/single_qubit_routines.py

QudevETH/PycQED_py3

train

8

522efc8c6d716b76948af5d53de41281166899b3

[ "self.capacity = size\nself.size = 0\nself.queue = deque()\nself.total = 0", "if self.size < self.capacity:\n self.queue.appendleft(val)\n self.total += val\n self.size += 1\n return self.total / self.size\nelse:\n p = self.queue.pop()\n self.total -= p\n self.queue.appendleft(val)\n self....

MovingAverage

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001548

1,005

permissive

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

2

stack_v2_sparse_classes_30k_train_003156

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

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

f38b598a925ea1c701d44b276749b8254a44974f

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MovingAverage: def __init__(self, size): """Initialize your data structure here. :type size: int""" self.capacity = size self.size = 0 self.queue = deque() self.total = 0 def next(self, val): """:type val: int :rtype: float""" if self.size < self.ca...

the_stack_v2_python_sparse

python/moving_average_of_a_data_stream.py

soumasish/leetcodely

train

10

40a83769de0788500025c30a4d22b458ecd0eb31

[ "if ExecutorFactory._instance is None:\n max_workers = ExecutorFactory.max_workers()\n ExecutorFactory._instance = ThreadPoolExecutor(max_workers=max_workers)\nreturn ExecutorFactory._instance", "config = Config()\nval = config.config.get('max-workers')\nif val is None:\n return None\ntry:\n return in...

ExecutorFactory

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001549

1,829

permissive

[ { "docstring": "Return the same executor in each call.", "name": "get_or_create", "signature": "def get_or_create() -> Executor" }, { "docstring": "Return the max number of workers configured.", "name": "max_workers", "signature": "def max_workers() -> Optional[int]" } ]

2

null

Implement the Python class `ExecutorFactory` described below. Class description: Implement the ExecutorFactory class. Method signatures and docstrings: - def get_or_create() -> Executor: Return the same executor in each call. - def max_workers() -> Optional[int]: Return the max number of workers configured.

Implement the Python class `ExecutorFactory` described below. Class description: Implement the ExecutorFactory class. Method signatures and docstrings: - def get_or_create() -> Executor: Return the same executor in each call. - def max_workers() -> Optional[int]: Return the max number of workers configured. <|skelet...

c9ce6a123b49c1c4e5bd950b388d69e6ff849b5d

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ExecutorFactory: def get_or_create() -> Executor: """Return the same executor in each call.""" if ExecutorFactory._instance is None: max_workers = ExecutorFactory.max_workers() ExecutorFactory._instance = ThreadPoolExecutor(max_workers=max_workers) return Execut...

the_stack_v2_python_sparse

python/pyiceberg/utils/concurrent.py

apache/iceberg

train

4,358

493dec1c31ec298c00c77ebc95713a1444c2314f

[ "if request.COOKIES.get('site_language'):\n if request.COOKIES['site_language'] == '':\n language = 'fr'\n else:\n language = request.COOKIES['site_language']\n translation.activate(language)\n request.LANGUAGE_CODE = translation.get_language()", "if not request.COOKIES.get('site_languag...

<|body_start_0|> if request.COOKIES.get('site_language'): if request.COOKIES['site_language'] == '': language = 'fr' else: language = request.COOKIES['site_language'] translation.activate(language) request.LANGUAGE_CODE = translatio...

LanguageCookieMiddleware

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LanguageCookieMiddleware: def process_request(self, request): """Sets language from the cookie value.""" <|body_0|> def process_response(self, request, response): """Create cookie if not there already. Also deactivates language. (See http://stackoverflow.com/a/130312...

stack_v2_sparse_classes_75kplus_train_001550

1,353

no_license

[ { "docstring": "Sets language from the cookie value.", "name": "process_request", "signature": "def process_request(self, request)" }, { "docstring": "Create cookie if not there already. Also deactivates language. (See http://stackoverflow.com/a/13031239/388835 )", "name": "process_response"...

2

stack_v2_sparse_classes_30k_train_040655

Implement the Python class `LanguageCookieMiddleware` described below. Class description: Implement the LanguageCookieMiddleware class. Method signatures and docstrings: - def process_request(self, request): Sets language from the cookie value. - def process_response(self, request, response): Create cookie if not the...

d5aff19e4557fe1eb9e0765e40337df99d5e1935

<|skeleton|> class LanguageCookieMiddleware: def process_request(self, request): """Sets language from the cookie value.""" <|body_0|> def process_response(self, request, response): """Create cookie if not there already. Also deactivates language. (See http://stackoverflow.com/a/130312...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LanguageCookieMiddleware: def process_request(self, request): """Sets language from the cookie value.""" if request.COOKIES.get('site_language'): if request.COOKIES['site_language'] == '': language = 'fr' else: language = request.COOKIES[...

the_stack_v2_python_sparse

visualexpcode/visualexpcode/middleware/languages/language_cookie.py

mlemaire79/visualexp

train

0

3ef2fa290d4c27dcd1517c1dbad1356382573242

[ "super().__init__(config)\nself.collector_host = config.get('collector_host')\nself.schedds = config.get('schedds', [None])\nself.condor_config = config.get('condor_config')\nself.constraint = config.get('constraint', True)\nself.classad_attrs = config.get('classad_attrs')\nself.correction_map = config.get('correct...

<|body_start_0|> super().__init__(config) self.collector_host = config.get('collector_host') self.schedds = config.get('schedds', [None]) self.condor_config = config.get('condor_config') self.constraint = config.get('constraint', True) self.classad_attrs = config.get('cla...

JobQ

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class JobQ: def __init__(self, config): """In config files such as job_classification.jsonnet or Nersc.jsonnet, put a dictionary named correction_map with keys corresponding to classad_attrs and values that the operators want to be default values for the classad_attrs.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus_train_001551

3,265

permissive

[ { "docstring": "In config files such as job_classification.jsonnet or Nersc.jsonnet, put a dictionary named correction_map with keys corresponding to classad_attrs and values that the operators want to be default values for the classad_attrs.", "name": "__init__", "signature": "def __init__(self, config...

2

stack_v2_sparse_classes_30k_train_037484

Implement the Python class `JobQ` described below. Class description: Implement the JobQ class. Method signatures and docstrings: - def __init__(self, config): In config files such as job_classification.jsonnet or Nersc.jsonnet, put a dictionary named correction_map with keys corresponding to classad_attrs and values...

842fdc91a31879084906d71a7d0c317e5035a925

<|skeleton|> class JobQ: def __init__(self, config): """In config files such as job_classification.jsonnet or Nersc.jsonnet, put a dictionary named correction_map with keys corresponding to classad_attrs and values that the operators want to be default values for the classad_attrs.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class JobQ: def __init__(self, config): """In config files such as job_classification.jsonnet or Nersc.jsonnet, put a dictionary named correction_map with keys corresponding to classad_attrs and values that the operators want to be default values for the classad_attrs.""" super().__init__(config) ...

the_stack_v2_python_sparse

src/decisionengine_modules/htcondor/sources/job_q.py

HEPCloud/decisionengine_modules

train

2

6b6520fb80abd49a50a2d1fe13f9eb7d36e8cd54

[ "value = None\nfor p in self.property:\n if p.name == name:\n value = p.value\n break\nreturn value", "found = False\nfor i in range(len(self.property)):\n if self.property[i].name == name:\n self.property[i].value = value\n found = True\n break\nif not found:\n self.pr...

Represents a generic entry in object form.

AppsPropertyEntry

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AppsPropertyEntry: """Represents a generic entry in object form.""" def _GetProperty(self, name): """Get the apps:property value with the given name. Args: name: string Name of the apps:property value to get. Returns: The apps:property value with the given name, or None if the name w...

stack_v2_sparse_classes_75kplus_train_001552

1,921

permissive

[ { "docstring": "Get the apps:property value with the given name. Args: name: string Name of the apps:property value to get. Returns: The apps:property value with the given name, or None if the name was invalid.", "name": "_GetProperty", "signature": "def _GetProperty(self, name)" }, { "docstring...

2

null

Implement the Python class `AppsPropertyEntry` described below. Class description: Represents a generic entry in object form. Method signatures and docstrings: - def _GetProperty(self, name): Get the apps:property value with the given name. Args: name: string Name of the apps:property value to get. Returns: The apps:...

26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891

<|skeleton|> class AppsPropertyEntry: """Represents a generic entry in object form.""" def _GetProperty(self, name): """Get the apps:property value with the given name. Args: name: string Name of the apps:property value to get. Returns: The apps:property value with the given name, or None if the name w...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AppsPropertyEntry: """Represents a generic entry in object form.""" def _GetProperty(self, name): """Get the apps:property value with the given name. Args: name: string Name of the apps:property value to get. Returns: The apps:property value with the given name, or None if the name was invalid.""...

the_stack_v2_python_sparse

python3-alpha/python-libs/gdata/apps/apps_property_entry.py

kuri65536/python-for-android

train

280

33684d71c7d1159b255c60d12c74aa03f8e028b0

[ "self.s3_output_path = s3_output_path\nself.container_local_output_path = container_local_output_path\nself.hook_parameters = hook_parameters\nself.collection_configs = collection_configs", "debugger_hook_config_request = {'S3OutputPath': self.s3_output_path}\nif self.container_local_output_path is not None:\n ...

<|body_start_0|> self.s3_output_path = s3_output_path self.container_local_output_path = container_local_output_path self.hook_parameters = hook_parameters self.collection_configs = collection_configs <|end_body_0|> <|body_start_1|> debugger_hook_config_request = {'S3OutputPath'...

Create a Debugger hook configuration object to save the tensor for debugging. DebuggerHookConfig provides options to customize how debugging information is emitted and saved. This high-level DebuggerHookConfig class runs based on the `smdebug.SaveConfig <https://github.com/awslabs/sagemaker-debugger/blob/master/docs/ a...

DebuggerHookConfig

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DebuggerHookConfig: """Create a Debugger hook configuration object to save the tensor for debugging. DebuggerHookConfig provides options to customize how debugging information is emitted and saved. This high-level DebuggerHookConfig class runs based on the `smdebug.SaveConfig <https://github.com/...

stack_v2_sparse_classes_75kplus_train_001553

42,015

permissive

[ { "docstring": "Initialize the DebuggerHookConfig instance. Args: s3_output_path (str or PipelineVariable): Optional. The location in Amazon S3 to store the output tensors. The default Debugger output path is created under the default output path of the :class:`~sagemaker.estimator.Estimator` class. For example...

2

stack_v2_sparse_classes_30k_train_019237

Implement the Python class `DebuggerHookConfig` described below. Class description: Create a Debugger hook configuration object to save the tensor for debugging. DebuggerHookConfig provides options to customize how debugging information is emitted and saved. This high-level DebuggerHookConfig class runs based on the `...

8d5d7fd8ae1a917ed3e2b988d5e533bce244fd85

<|skeleton|> class DebuggerHookConfig: """Create a Debugger hook configuration object to save the tensor for debugging. DebuggerHookConfig provides options to customize how debugging information is emitted and saved. This high-level DebuggerHookConfig class runs based on the `smdebug.SaveConfig <https://github.com/...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DebuggerHookConfig: """Create a Debugger hook configuration object to save the tensor for debugging. DebuggerHookConfig provides options to customize how debugging information is emitted and saved. This high-level DebuggerHookConfig class runs based on the `smdebug.SaveConfig <https://github.com/awslabs/sagem...

the_stack_v2_python_sparse

src/sagemaker/debugger/debugger.py

aws/sagemaker-python-sdk

train

2,050

743ec0f5efa603002d9e45b1993bd523adf56d43

[ "super(CustomResNet152, self).__init__()\nself.dim = dim\nresnet = torchvision.models.resnet152(pretrained=True)\nmodules = list(resnet.children())[:-2]\nself.resnet = nn.Sequential(*modules)\nself.conv = nn.Conv2d(2048, self.dim, kernel_size=(1, 1), stride=(1, 1), bias=False)\nif train_resnet:\n for i, child in...

<|body_start_0|> super(CustomResNet152, self).__init__() self.dim = dim resnet = torchvision.models.resnet152(pretrained=True) modules = list(resnet.children())[:-2] self.resnet = nn.Sequential(*modules) self.conv = nn.Conv2d(2048, self.dim, kernel_size=(1, 1), stride=(1,...

Image encoder that computes both its image embedding and its convolutional feature map

CustomResNet152

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CustomResNet152: """Image encoder that computes both its image embedding and its convolutional feature map""" def __init__(self, dim=1024, train_resnet=False): """Initializes image encoder based on ResNet :param dim: length of the UniVSE space embeddings :param train_resnet: sets bac...

stack_v2_sparse_classes_75kplus_train_001554

20,277

no_license

[ { "docstring": "Initializes image encoder based on ResNet :param dim: length of the UniVSE space embeddings :param train_resnet: sets backbone's weights as trainable if true", "name": "__init__", "signature": "def __init__(self, dim=1024, train_resnet=False)" }, { "docstring": "Forward pass of t...

2

stack_v2_sparse_classes_30k_train_019109

Implement the Python class `CustomResNet152` described below. Class description: Image encoder that computes both its image embedding and its convolutional feature map Method signatures and docstrings: - def __init__(self, dim=1024, train_resnet=False): Initializes image encoder based on ResNet :param dim: length of ...

bc4fe571775e982975d6ecac82253e94de9dcd2b

<|skeleton|> class CustomResNet152: """Image encoder that computes both its image embedding and its convolutional feature map""" def __init__(self, dim=1024, train_resnet=False): """Initializes image encoder based on ResNet :param dim: length of the UniVSE space embeddings :param train_resnet: sets bac...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class CustomResNet152: """Image encoder that computes both its image embedding and its convolutional feature map""" def __init__(self, dim=1024, train_resnet=False): """Initializes image encoder based on ResNet :param dim: length of the UniVSE space embeddings :param train_resnet: sets backbone's weigh...

the_stack_v2_python_sparse

models/univse/model.py

strategist922/UniVSE

train

0

b01661eb5ae09695bd75c0cd61a39b1516dc5c48

[ "super().__init__(coordinator=coordinator)\nself._attr_name = f'{coordinator.data.info.name} Wi-Fi Channel'\nself._attr_unique_id = f'{coordinator.data.info.mac_address}_wifi_channel'", "if not self.coordinator.data.info.wifi:\n return None\nreturn self.coordinator.data.info.wifi.channel" ]

<|body_start_0|> super().__init__(coordinator=coordinator) self._attr_name = f'{coordinator.data.info.name} Wi-Fi Channel' self._attr_unique_id = f'{coordinator.data.info.mac_address}_wifi_channel' <|end_body_0|> <|body_start_1|> if not self.coordinator.data.info.wifi: retur...

Defines a WLED Wi-Fi Channel sensor.

WLEDWifiChannelSensor

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class WLEDWifiChannelSensor: """Defines a WLED Wi-Fi Channel sensor.""" def __init__(self, coordinator: WLEDDataUpdateCoordinator) -> None: """Initialize WLED Wi-Fi Channel sensor.""" <|body_0|> def state(self) -> int | None: """Return the state of the sensor.""" ...

stack_v2_sparse_classes_75kplus_train_001555

6,830

permissive

[ { "docstring": "Initialize WLED Wi-Fi Channel sensor.", "name": "__init__", "signature": "def __init__(self, coordinator: WLEDDataUpdateCoordinator) -> None" }, { "docstring": "Return the state of the sensor.", "name": "state", "signature": "def state(self) -> int | None" } ]

2

null

Implement the Python class `WLEDWifiChannelSensor` described below. Class description: Defines a WLED Wi-Fi Channel sensor. Method signatures and docstrings: - def __init__(self, coordinator: WLEDDataUpdateCoordinator) -> None: Initialize WLED Wi-Fi Channel sensor. - def state(self) -> int | None: Return the state of...

2fee32fce03bc49e86cf2e7b741a15621a97cce5

<|skeleton|> class WLEDWifiChannelSensor: """Defines a WLED Wi-Fi Channel sensor.""" def __init__(self, coordinator: WLEDDataUpdateCoordinator) -> None: """Initialize WLED Wi-Fi Channel sensor.""" <|body_0|> def state(self) -> int | None: """Return the state of the sensor.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class WLEDWifiChannelSensor: """Defines a WLED Wi-Fi Channel sensor.""" def __init__(self, coordinator: WLEDDataUpdateCoordinator) -> None: """Initialize WLED Wi-Fi Channel sensor.""" super().__init__(coordinator=coordinator) self._attr_name = f'{coordinator.data.info.name} Wi-Fi Channe...

the_stack_v2_python_sparse

homeassistant/components/wled/sensor.py

BenWoodford/home-assistant

train

11

de8e0ba92c1c3349519a69f6900044727f35e11c

[ "command = command.split(' ')\nprocess = subprocess.Popen(command, universal_newlines=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\ntry:\n output, errors = process.communicate(timeout=8)\n output = output.split('\\n')\n process.terminate()\nexcept subprocess.TimeoutExpired:\n process.kill()\n ...

<|body_start_0|> command = command.split(' ') process = subprocess.Popen(command, universal_newlines=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) try: output, errors = process.communicate(timeout=8) output = output.split('\n') process.terminate() ...

Commands that evaluate commands..

Evaluation

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001556

2,006

permissive

[ { "docstring": "Execute a system command. Bot owner only.", "name": "sh", "signature": "async def sh(self, ctx, *, command)" }, { "docstring": "Evaluate a Python expression. Bot owner only.", "name": "_eval", "signature": "async def _eval(self, ctx, *, expression)" } ]

2

stack_v2_sparse_classes_30k_train_031058

Implement the Python class `Evaluation` described below. Class description: Commands that evaluate commands.. Method signatures and docstrings: - async def sh(self, ctx, *, command): Execute a system command. Bot owner only. - async def _eval(self, ctx, *, expression): Evaluate a Python expression. Bot owner only.

Implement the Python class `Evaluation` described below. Class description: Commands that evaluate commands.. Method signatures and docstrings: - async def sh(self, ctx, *, command): Execute a system command. Bot owner only. - async def _eval(self, ctx, *, expression): Evaluate a Python expression. Bot owner only. <...

3a456ad06814181d13d4aabefc151756c55444f4

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Evaluation: """Commands that evaluate commands..""" async def sh(self, ctx, *, command): """Execute a system command. Bot owner only.""" command = command.split(' ') process = subprocess.Popen(command, universal_newlines=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) ...

the_stack_v2_python_sparse

cogs/eval.py

sokcheng/Kitsuchan-NG

train

1

96724c43d250e93473a694c17134e1c7a1248d04

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn MicrosoftAuthenticatorAuthenticationMethodConfiguration()", "from .authentication_method_configuration import AuthenticationMethodConfiguration\nfrom .microsoft_authenticator_authentication_method_target import MicrosoftAuthenticatorAu...

MicrosoftAuthenticatorAuthenticationMethodConfiguration

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MicrosoftAuthenticatorAuthenticationMethodConfiguration: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MicrosoftAuthenticatorAuthenticationMethodConfiguration: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node:...

stack_v2_sparse_classes_75kplus_train_001557

4,083

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: MicrosoftAuthenticatorAuthenticationMethodConfiguration", "name": "create_from_discriminator_value", "signat...

3

stack_v2_sparse_classes_30k_train_020623

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

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class MicrosoftAuthenticatorAuthenticationMethodConfiguration: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MicrosoftAuthenticatorAuthenticationMethodConfiguration: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node:...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MicrosoftAuthenticatorAuthenticationMethodConfiguration: def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MicrosoftAuthenticatorAuthenticationMethodConfiguration: """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse nod...

the_stack_v2_python_sparse

msgraph/generated/models/microsoft_authenticator_authentication_method_configuration.py

microsoftgraph/msgraph-sdk-python

train

135

4a3d25c7358022048e0f534ec908b5337c91dbe5

[ "self.config: Dict[str, str] = {}\nself.config[AcnNodeConfig.KEY] = key\nself.config[AcnNodeConfig.URI] = uri\nself.config[AcnNodeConfig.EXTERNAL_URI] = external_uri if external_uri is not None else ''\nself.config[AcnNodeConfig.DELEGATE_URI] = delegate_uri if delegate_uri is not None else ''\nself.config[AcnNodeCo...

<|body_start_0|> self.config: Dict[str, str] = {} self.config[AcnNodeConfig.KEY] = key self.config[AcnNodeConfig.URI] = uri self.config[AcnNodeConfig.EXTERNAL_URI] = external_uri if external_uri is not None else '' self.config[AcnNodeConfig.DELEGATE_URI] = delegate_uri if delegat...

Store the configuration of an acn node as a dictionary.

AcnNodeConfig

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AcnNodeConfig: """Store the configuration of an acn node as a dictionary.""" def __init__(self, key: str, uri: str, external_uri: Optional[str]=None, delegate_uri: Optional[str]=None, monitoring_uri: Optional[str]=None, entry_peers_maddrs: Optional[List[str]]=None, log_file: Optional[str]=No...

stack_v2_sparse_classes_75kplus_train_001558

12,337

permissive

[ { "docstring": "Initialize a new ACN configuration from arguments :param key: node private key to use as identity :param uri: node local uri to bind to :param external_uri: node external uri, needed to be reached by others :param delegate_uri: node local uri for delegate service :param monitoring_uri: node moni...

6

stack_v2_sparse_classes_30k_train_043900

Implement the Python class `AcnNodeConfig` described below. Class description: Store the configuration of an acn node as a dictionary. Method signatures and docstrings: - def __init__(self, key: str, uri: str, external_uri: Optional[str]=None, delegate_uri: Optional[str]=None, monitoring_uri: Optional[str]=None, entr...

bec49adaeba661d8d0f03ac9935dc89f39d95a0d

<|skeleton|> class AcnNodeConfig: """Store the configuration of an acn node as a dictionary.""" def __init__(self, key: str, uri: str, external_uri: Optional[str]=None, delegate_uri: Optional[str]=None, monitoring_uri: Optional[str]=None, entry_peers_maddrs: Optional[List[str]]=None, log_file: Optional[str]=No...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AcnNodeConfig: """Store the configuration of an acn node as a dictionary.""" def __init__(self, key: str, uri: str, external_uri: Optional[str]=None, delegate_uri: Optional[str]=None, monitoring_uri: Optional[str]=None, entry_peers_maddrs: Optional[List[str]]=None, log_file: Optional[str]=None, enable_ch...

the_stack_v2_python_sparse

scripts/acn/run_acn_node_standalone.py

fetchai/agents-aea

train

192

8d55432595119e744136dfda5a3d5ae2904c185f

[ "self._is_string = False\nif isinstance(yaml, str):\n self._is_string = True\n self.name: str = yaml\n self.remote: Optional[str] = None\n self.source: Optional[Union[Source, SourceName]] = None\n return\nif isinstance(yaml, dict):\n self.name: str = yaml['name']\n self.remote: Optional[str] = ...

<|body_start_0|> self._is_string = False if isinstance(yaml, str): self._is_string = True self.name: str = yaml self.remote: Optional[str] = None self.source: Optional[Union[Source, SourceName]] = None return if isinstance(yaml, dict): ...

clowder yaml Upstream model class :ivar str name: Upstream name :ivar str path: Project relative path :ivar Optional[Union[Source, SourceName]] source: Upstream source :ivar Optional[str] remote: Upstream remote name

Upstream

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Upstream: """clowder yaml Upstream model class :ivar str name: Upstream name :ivar str path: Project relative path :ivar Optional[Union[Source, SourceName]] source: Upstream source :ivar Optional[str] remote: Upstream remote name""" def __init__(self, yaml: Union[str, dict]): """Upst...

stack_v2_sparse_classes_75kplus_train_001559

2,529

permissive

[ { "docstring": "Upstream __init__ :param Union[str, dict] yaml: Parsed YAML python object for upstream :raise UnknownTypeError:", "name": "__init__", "signature": "def __init__(self, yaml: Union[str, dict])" }, { "docstring": "Return python object representation for saving yaml :return: YAML pyt...

2

null

Implement the Python class `Upstream` described below. Class description: clowder yaml Upstream model class :ivar str name: Upstream name :ivar str path: Project relative path :ivar Optional[Union[Source, SourceName]] source: Upstream source :ivar Optional[str] remote: Upstream remote name Method signatures and docst...

1438fc8b1bb7379de66142ffcb0e20b459b59159

<|skeleton|> class Upstream: """clowder yaml Upstream model class :ivar str name: Upstream name :ivar str path: Project relative path :ivar Optional[Union[Source, SourceName]] source: Upstream source :ivar Optional[str] remote: Upstream remote name""" def __init__(self, yaml: Union[str, dict]): """Upst...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Upstream: """clowder yaml Upstream model class :ivar str name: Upstream name :ivar str path: Project relative path :ivar Optional[Union[Source, SourceName]] source: Upstream source :ivar Optional[str] remote: Upstream remote name""" def __init__(self, yaml: Union[str, dict]): """Upstream __init__...

the_stack_v2_python_sparse

clowder/model/upstream.py

JrGoodle/clowder

train

17

41ad54bb7b8cfa539ea60b1d428ce515f58d3a2b

[ "self.P = P\nself.K = None\nself.R = None\nself.t = None\nself.c = None", "x = dot(self.P, X)\nfor i in range(3):\n x[i] /= x[2]\nreturn x", "R = eye(4)\nR[:3, :3] = expm([[0, -a[2], a[1]], [a[2], 0, -a[0]], [-a[1], a[0], 0]])\nreturn R", "K, R = rq(self.P[:, :3])\nT = diag(sign(diag(K)))\nif det(T) < 0:\n...

Class for representing pin-hole cameras.

Camera

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001560

3,354

no_license

[ { "docstring": "Initialize P = K[R|t] camera model.", "name": "__init__", "signature": "def __init__(self, P)" }, { "docstring": "Project points in X (4*n array) and normalize coordinates.", "name": "project", "signature": "def project(self, X)" }, { "docstring": "Creates a 3D ro...

5

null

Implement the Python class `Camera` described below. Class description: Class for representing pin-hole cameras. Method signatures and docstrings: - def __init__(self, P): Initialize P = K[R|t] camera model. - def project(self, X): Project points in X (4*n array) and normalize coordinates. - def rotation_matrix(a): C...

b76292758d7792635cd2ca93b7d7416438a5a72c

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Camera: """Class for representing pin-hole cameras.""" def __init__(self, P): """Initialize P = K[R|t] camera model.""" self.P = P self.K = None self.R = None self.t = None self.c = None def project(self, X): """Project points in X (4*n array) ...

the_stack_v2_python_sparse

research/Python/fun_projecting3DPoints.py

joshuwaifo/gitRepoPracticeCodingMore

train

0

7bfbfcfb04d8f3692d61959560b81b80a97afe4a

[ "if values.get('employee_id', False):\n employee = self.env['hr.employee'].browse(values['employee_id'])\n values.update({'job_id': employee.job_id.id or False})\nreturn super(HRContract, self).create(values)", "if values.get('employee_id', False):\n employee = self.env['hr.employee'].browse(values['empl...

<|body_start_0|> if values.get('employee_id', False): employee = self.env['hr.employee'].browse(values['employee_id']) values.update({'job_id': employee.job_id.id or False}) return super(HRContract, self).create(values) <|end_body_0|> <|body_start_1|> if values.get('empl...

HRContract

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001561

6,797

no_license

[ { "docstring": "create a new record", "name": "create", "signature": "def create(self, values)" }, { "docstring": "update an existing record", "name": "write", "signature": "def write(self, values)" }, { "docstring": "set the values of Basic, HRA, TA if wage is greater than 0.", ...

6

stack_v2_sparse_classes_30k_test_002504

Implement the Python class `HRContract` described below. Class description: Implement the HRContract class. Method signatures and docstrings: - def create(self, values): create a new record - def write(self, values): update an existing record - def _get_amount(self): set the values of Basic, HRA, TA if wage is greate...

59cd55edd536ce9feb85c772e163a2560c224cad

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class HRContract: def create(self, values): """create a new record""" if values.get('employee_id', False): employee = self.env['hr.employee'].browse(values['employee_id']) values.update({'job_id': employee.job_id.id or False}) return super(HRContract, self).create(val...

the_stack_v2_python_sparse

slnee_hr_contract/models/hr_contract.py

zamzamintl/SLNEE-MASTER

train

0

5e9635c9eac9d56a5bf746a7b2a8a7d2b7dec90c

[ "def backtrack(start, track):\n if sum(track) == target:\n return res.append(track[:])\n if sum(track) > target:\n return\n for i in range(start, len(nums)):\n track.append(nums[i])\n backtrack(0, track)\n track.pop()\nres = []\nbacktrack(0, [])\nreturn len(res)", "dp =...

<|body_start_0|> def backtrack(start, track): if sum(track) == target: return res.append(track[:]) if sum(track) > target: return for i in range(start, len(nums)): track.append(nums[i]) backtrack(0, track) ...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def combinationSum4(self, nums: List[int], target: int) -> int: """穷举超时：vs 39. 组合总和""" <|body_0|> def combinationSum4_1(self, nums: List[int], target: int) -> int: """动态规划-状态转移方程：动态规划：自下而上 dp[i] ：对于给定的由正整数组成且不存在重复数字的数组，和为 i 的组合的个数。状态转移方程：dp[i] = sum{dp[i -...

stack_v2_sparse_classes_75kplus_train_001562

5,262

permissive

[ { "docstring": "穷举超时：vs 39. 组合总和", "name": "combinationSum4", "signature": "def combinationSum4(self, nums: List[int], target: int) -> int" }, { "docstring": "动态规划-状态转移方程：动态规划：自下而上 dp[i] ：对于给定的由正整数组成且不存在重复数字的数组，和为 i 的组合的个数。状态转移方程：dp[i] = sum{dp[i - num] for num in nums and if i >= num}", "n...

5

stack_v2_sparse_classes_30k_train_023802

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def combinationSum4(self, nums: List[int], target: int) -> int: 穷举超时：vs 39. 组合总和 - def combinationSum4_1(self, nums: List[int], target: int) -> int: 动态规划-状态转移方程：动态规划：自下而上 dp[i] ：...

e8a1c6cae6547cbcb6e8494be6df685f3e7c837c

<|skeleton|> class Solution: def combinationSum4(self, nums: List[int], target: int) -> int: """穷举超时：vs 39. 组合总和""" <|body_0|> def combinationSum4_1(self, nums: List[int], target: int) -> int: """动态规划-状态转移方程：动态规划：自下而上 dp[i] ：对于给定的由正整数组成且不存在重复数字的数组，和为 i 的组合的个数。状态转移方程：dp[i] = sum{dp[i -...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def combinationSum4(self, nums: List[int], target: int) -> int: """穷举超时：vs 39. 组合总和""" def backtrack(start, track): if sum(track) == target: return res.append(track[:]) if sum(track) > target: return for i in range(s...

the_stack_v2_python_sparse

377-combination-sum-iv.py

yuenliou/leetcode

train

0

a977567ffb25d182a782c53a33554d4c720f1903

[ "if head is None:\n return None\nhead_old = head\nnew_node = head.next\nwhile new_node:\n tmp = new_node.next\n new_node.next = head\n head = new_node\n new_node = tmp\nhead_old.next = None\nreturn head", "if head is None or head.next is None:\n return head\np = head\nrev = None\nwhile p:\n t...

<|body_start_0|> if head is None: return None head_old = head new_node = head.next while new_node: tmp = new_node.next new_node.next = head head = new_node new_node = tmp head_old.next = None return head <|end_bo...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def reverseList1(self, head): """modify list in place, needs three pointers. 1). Old head, which will become the tail at the end. old head.next should be the future head node 2). Next node: The one gonna become the new head, then back pointing to the next one in original list. ...

stack_v2_sparse_classes_75kplus_train_001563

2,049

no_license

[ { "docstring": "modify list in place, needs three pointers. 1). Old head, which will become the tail at the end. old head.next should be the future head node 2). Next node: The one gonna become the new head, then back pointing to the next one in original list. 3). New Head: The new head of reversed list. :type ...

3

stack_v2_sparse_classes_30k_train_043451

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def reverseList1(self, head): modify list in place, needs three pointers. 1). Old head, which will become the tail at the end. old head.next should be the future head node 2). Ne...

11d6bf2ba7b50c07e048df37c4e05c8f46b92241

<|skeleton|> class Solution: def reverseList1(self, head): """modify list in place, needs three pointers. 1). Old head, which will become the tail at the end. old head.next should be the future head node 2). Next node: The one gonna become the new head, then back pointing to the next one in original list. ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def reverseList1(self, head): """modify list in place, needs three pointers. 1). Old head, which will become the tail at the end. old head.next should be the future head node 2). Next node: The one gonna become the new head, then back pointing to the next one in original list. 3). New Head: ...

the_stack_v2_python_sparse

LeetCodes/LinkedList/ReverseLinkedList.py

chutianwen/LeetCodes

train

0

13b59db3f2968efaadf006a57e566787a23a11d2

[ "title = getattr(self, 'page_title', None)\nlanguages = getattr(self, 'page_languages', None)\nif not title:\n languages = languages or [settings.LANGUAGE_CODE]\n title = {language: factory.Faker('catch_phrase').evaluate(None, None, {'locale': language}) for language in languages}\nreturn create_i18n_page(tit...

<|body_start_0|> title = getattr(self, 'page_title', None) languages = getattr(self, 'page_languages', None) if not title: languages = languages or [settings.LANGUAGE_CODE] title = {language: factory.Faker('catch_phrase').evaluate(None, None, {'locale': language}) for lan...

Factories for page extensions have in common that: - they must create a related page with a title, - the related page may have to be placed below a "parent" page, - we may want to test the related page in several languages. All this is mutualized by inheriting from the present class.

PageExtensionDjangoModelFactory

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class PageExtensionDjangoModelFactory: """Factories for page extensions have in common that: - they must create a related page with a title, - the related page may have to be placed below a "parent" page, - we may want to test the related page in several languages. All this is mutualized by inheriting ...

stack_v2_sparse_classes_75kplus_train_001564

11,346

permissive

[ { "docstring": "Automatically create a related page with the title (or random title if None) in all the requested languages", "name": "extended_object", "signature": "def extended_object(self)" }, { "docstring": "This hook method is called last when generating an instance from a factory. The sup...

3

stack_v2_sparse_classes_30k_train_042793

Implement the Python class `PageExtensionDjangoModelFactory` described below. Class description: Factories for page extensions have in common that: - they must create a related page with a title, - the related page may have to be placed below a "parent" page, - we may want to test the related page in several languages...

f2d46fc46b271eb3b4d565039a29c15ba15f027c

<|skeleton|> class PageExtensionDjangoModelFactory: """Factories for page extensions have in common that: - they must create a related page with a title, - the related page may have to be placed below a "parent" page, - we may want to test the related page in several languages. All this is mutualized by inheriting ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PageExtensionDjangoModelFactory: """Factories for page extensions have in common that: - they must create a related page with a title, - the related page may have to be placed below a "parent" page, - we may want to test the related page in several languages. All this is mutualized by inheriting from the pres...

the_stack_v2_python_sparse

src/richie/apps/core/factories.py

openfun/richie

train

238

4f95c96f5cfdd09c25091d7b66879f06782999c2

[ "arr = self.linked_list_to_array(head)\nself.insertion_sort(arr)\nreturn self.array_to_linked_list(arr)", "arr = []\nwhile head is not None:\n arr.append(head.val)\n head = head.next\nreturn arr", "for i in range(1, len(arr)):\n j, tmp = (i, arr[i])\n while j and tmp < arr[j - 1]:\n arr[j] = ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001565

1,184

no_license

[ { "docstring": "Time: O(n ** 2) Space: O(n)", "name": "insertionSortList", "signature": "def insertionSortList(self, head: ListNode) -> ListNode" }, { "docstring": "Time/Space: O(n)", "name": "linked_list_to_array", "signature": "def linked_list_to_array(self, head: ListNode) -> List[int...

4

stack_v2_sparse_classes_30k_train_024877

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def insertionSortList(self, head: ListNode) -> ListNode: Time: O(n ** 2) Space: O(n) - def linked_list_to_array(self, head: ListNode) -> List[int]: Time/Space: O(n) - def inserti...

359f3b78da90c41c7e42e5c9e13d49b4fc67fe41

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def insertionSortList(self, head: ListNode) -> ListNode: """Time: O(n ** 2) Space: O(n)""" arr = self.linked_list_to_array(head) self.insertion_sort(arr) return self.array_to_linked_list(arr) def linked_list_to_array(self, head: ListNode) -> List[int]: ""...

the_stack_v2_python_sparse

problems/147. Insertion Sort List/1 - Back to Array.py

Vasilic-Maxim/LeetCode-Problems

train

0

cafea02fb5109d6d20a4baa62e7f9f46bf468325

[ "data = {'usr_name': 'mushan', 'password': '2020', 'error_type': '1'}\nStudent(usr_name='mushan', usr_password='123', id='17373349', name='hbb', grade=3).save()\nresponse = self.client.post('/spider/delete/', content_type='application/json', data=data)\nself.assertEqual(response.status_code, 200)\nself.assertEqual(...

<|body_start_0|> data = {'usr_name': 'mushan', 'password': '2020', 'error_type': '1'} Student(usr_name='mushan', usr_password='123', id='17373349', name='hbb', grade=3).save() response = self.client.post('/spider/delete/', content_type='application/json', data=data) self.assertEqual(resp...

DeleteTests

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DeleteTests: def test_post_200(self): """检测返回状态码为200的post请求 1.如果数据库中无该学生，返回0 2.如果数据库中密码不相同，返回-1 3.如果成功删除返回1""" <|body_0|> def test_post_400(self): """检测返回状态码为400的post请求 1.参数数量不正确 2.参数名称不正确""" <|body_1|> <|end_skeleton|> <|body_start_0|> data = {'usr...

stack_v2_sparse_classes_75kplus_train_001566

2,898

no_license

[ { "docstring": "检测返回状态码为200的post请求 1.如果数据库中无该学生，返回0 2.如果数据库中密码不相同，返回-1 3.如果成功删除返回1", "name": "test_post_200", "signature": "def test_post_200(self)" }, { "docstring": "检测返回状态码为400的post请求 1.参数数量不正确 2.参数名称不正确", "name": "test_post_400", "signature": "def test_post_400(self)" } ]

2

stack_v2_sparse_classes_30k_test_000618

Implement the Python class `DeleteTests` described below. Class description: Implement the DeleteTests class. Method signatures and docstrings: - def test_post_200(self): 检测返回状态码为200的post请求 1.如果数据库中无该学生，返回0 2.如果数据库中密码不相同，返回-1 3.如果成功删除返回1 - def test_post_400(self): 检测返回状态码为400的post请求 1.参数数量不正确 2.参数名称不正确

Implement the Python class `DeleteTests` described below. Class description: Implement the DeleteTests class. Method signatures and docstrings: - def test_post_200(self): 检测返回状态码为200的post请求 1.如果数据库中无该学生，返回0 2.如果数据库中密码不相同，返回-1 3.如果成功删除返回1 - def test_post_400(self): 检测返回状态码为400的post请求 1.参数数量不正确 2.参数名称不正确 <|skeleton|> ...

7dfa07283d4130b931a92c80bf4f499f97a33b62

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DeleteTests: def test_post_200(self): """检测返回状态码为200的post请求 1.如果数据库中无该学生，返回0 2.如果数据库中密码不相同，返回-1 3.如果成功删除返回1""" data = {'usr_name': 'mushan', 'password': '2020', 'error_type': '1'} Student(usr_name='mushan', usr_password='123', id='17373349', name='hbb', grade=3).save() response...

the_stack_v2_python_sparse

post_web_spider/tests.py

SE2020-TopUnderstanding/BUAA-Campus-Tools-Backend

train

7

7b054ecd021f6b5501f5717736deb94f1d7a7d49

[ "cleaned = super().clean(value)\nhtml, closing_tags = complete_html(cleaned)\nreturn self.remove_trailing_stupid_lines(html + closing_tags)", "lines = text.replace('\\r', '').split('\\n')\ngood_line_found = False\nresult = ''\nfor i in range(len(lines) - 1, -1, -1):\n if not lines[i].strip() in ('', ' ...

ValidatedRichTextFormField

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001567

4,067

no_license

[ { "docstring": "Closes any open tags on the value. Removes any trailing \" \" lines. :param value: :return:", "name": "clean", "signature": "def clean(self, value)" }, { "docstring": ":param text: :return:", "name": "remove_trailing_stupid_lines", "signature": "def remove_tra...

2

null

Implement the Python class `ValidatedRichTextFormField` described below. Class description: Implement the ValidatedRichTextFormField class. Method signatures and docstrings: - def clean(self, value): Closes any open tags on the value. Removes any trailing " " lines. :param value: :return: - def remove_tra...

1e79166f512f0dd6f142f3c8cd914852645a244a

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ValidatedRichTextFormField: def clean(self, value): """Closes any open tags on the value. Removes any trailing " " lines. :param value: :return:""" cleaned = super().clean(value) html, closing_tags = complete_html(cleaned) return self.remove_trailing_stupid_lines(ht...

the_stack_v2_python_sparse

studassweb/base/fields.py

Lundis/SAW

train

0

b156ecc1a3238da402813d24944b4958a2baef9d

[ "super().__init__()\nself.dice = DiceLoss(include_background=include_background, to_onehot_y=to_onehot_y, sigmoid=sigmoid, softmax=softmax, other_act=other_act, squared_pred=squared_pred, jaccard=jaccard, reduction=reduction, smooth_nr=smooth_nr, smooth_dr=smooth_dr, batch=batch)\nself.cross_entropy = nn.CrossEntro...

<|body_start_0|> super().__init__() self.dice = DiceLoss(include_background=include_background, to_onehot_y=to_onehot_y, sigmoid=sigmoid, softmax=softmax, other_act=other_act, squared_pred=squared_pred, jaccard=jaccard, reduction=reduction, smooth_nr=smooth_nr, smooth_dr=smooth_dr, batch=batch) ...

Compute both Dice loss and Cross Entropy Loss, and return the weighted sum of these two losses. The details of Dice loss is shown in ``monai.losses.DiceLoss``. The details of Cross Entropy Loss is shown in ``torch.nn.CrossEntropyLoss``. In this implementation, two deprecated parameters ``size_average`` and ``reduce``, ...

DiceCELoss

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DiceCELoss: """Compute both Dice loss and Cross Entropy Loss, and return the weighted sum of these two losses. The details of Dice loss is shown in ``monai.losses.DiceLoss``. The details of Cross Entropy Loss is shown in ``torch.nn.CrossEntropyLoss``. In this implementation, two deprecated parame...

stack_v2_sparse_classes_75kplus_train_001568

9,601

permissive

[ { "docstring": "Args: ``ce_weight`` and ``lambda_ce`` are only used for cross entropy loss. ``reduction`` is used for both losses and other parameters are only used for dice loss. include_background: if False channel index 0 (background category) is excluded from the calculation. to_onehot_y: whether to convert...

2

stack_v2_sparse_classes_30k_train_048827

Implement the Python class `DiceCELoss` described below. Class description: Compute both Dice loss and Cross Entropy Loss, and return the weighted sum of these two losses. The details of Dice loss is shown in ``monai.losses.DiceLoss``. The details of Cross Entropy Loss is shown in ``torch.nn.CrossEntropyLoss``. In thi...

2892550cd6ee1578a649414766c3ee88ea67c088

<|skeleton|> class DiceCELoss: """Compute both Dice loss and Cross Entropy Loss, and return the weighted sum of these two losses. The details of Dice loss is shown in ``monai.losses.DiceLoss``. The details of Cross Entropy Loss is shown in ``torch.nn.CrossEntropyLoss``. In this implementation, two deprecated parame...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DiceCELoss: """Compute both Dice loss and Cross Entropy Loss, and return the weighted sum of these two losses. The details of Dice loss is shown in ``monai.losses.DiceLoss``. The details of Cross Entropy Loss is shown in ``torch.nn.CrossEntropyLoss``. In this implementation, two deprecated parameters ``size_a...

the_stack_v2_python_sparse

utils/aneurysm_utils/utils/ignite_utils.py

MarkusMartinMueller/ML_in_MIP

train

2

6f8e4b1ca14a07679bc6b644935d9813b894df27

[ "content = Question.parse_content(content)\ncomprehension = cls(content=content)\ndb.session.add(comprehension)\ndb.session.commit()\nreturn comprehension", "content = Question.parse_content(content)\ncomprehension = cls.query.get(id)\ncomprehension.content = content\ndb.session.commit()\nreturn comprehension" ]

Comprehension

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Comprehension: def create(cls, content): """Create a comprehension and return the comprehension object :param content: text of comprehension :return: comprehension object""" <|body_0|> def update(cls, id, content): """Update the content of a comprehension :param id: ...

stack_v2_sparse_classes_75kplus_train_001569

1,216

no_license

[ { "docstring": "Create a comprehension and return the comprehension object :param content: text of comprehension :return: comprehension object", "name": "create", "signature": "def create(cls, content)" }, { "docstring": "Update the content of a comprehension :param id: the comprehension id :par...

2

stack_v2_sparse_classes_30k_train_029941

Implement the Python class `Comprehension` described below. Class description: Implement the Comprehension class. Method signatures and docstrings: - def create(cls, content): Create a comprehension and return the comprehension object :param content: text of comprehension :return: comprehension object - def update(cl...

c8af233693cd6a97489a2d73a85646b15220389c

<|skeleton|> class Comprehension: def create(cls, content): """Create a comprehension and return the comprehension object :param content: text of comprehension :return: comprehension object""" <|body_0|> def update(cls, id, content): """Update the content of a comprehension :param id: ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Comprehension: def create(cls, content): """Create a comprehension and return the comprehension object :param content: text of comprehension :return: comprehension object""" content = Question.parse_content(content) comprehension = cls(content=content) db.session.add(comprehens...

the_stack_v2_python_sparse

exam_app/models/comprehension.py

GraphicalDot/testrocketbackend

train

0

4ca7dfeecbccba396ec5f4b0f1c33381f0ec868f

[ "self._turn_on_light()\nself._turn_on_dimmer(**kwargs)\nif self.assumed_state:\n self.async_write_ha_state()", "super()._async_update()\nself._async_update_light()\nself._async_update_dimmer()" ]

Dimmer child class to MySensorsLight.

MySensorsLightDimmer

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MySensorsLightDimmer: """Dimmer child class to MySensorsLight.""" async def async_turn_on(self, **kwargs: Any) -> None: """Turn the device on.""" <|body_0|> def _async_update(self) -> None: """Update the controller with the latest value from a sensor.""" ...

stack_v2_sparse_classes_75kplus_train_001570

8,168

permissive

[ { "docstring": "Turn the device on.", "name": "async_turn_on", "signature": "async def async_turn_on(self, **kwargs: Any) -> None" }, { "docstring": "Update the controller with the latest value from a sensor.", "name": "_async_update", "signature": "def _async_update(self) -> None" } ]

2

stack_v2_sparse_classes_30k_train_014364

Implement the Python class `MySensorsLightDimmer` described below. Class description: Dimmer child class to MySensorsLight. Method signatures and docstrings: - async def async_turn_on(self, **kwargs: Any) -> None: Turn the device on. - def _async_update(self) -> None: Update the controller with the latest value from ...

80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743

<|skeleton|> class MySensorsLightDimmer: """Dimmer child class to MySensorsLight.""" async def async_turn_on(self, **kwargs: Any) -> None: """Turn the device on.""" <|body_0|> def _async_update(self) -> None: """Update the controller with the latest value from a sensor.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MySensorsLightDimmer: """Dimmer child class to MySensorsLight.""" async def async_turn_on(self, **kwargs: Any) -> None: """Turn the device on.""" self._turn_on_light() self._turn_on_dimmer(**kwargs) if self.assumed_state: self.async_write_ha_state() def _a...

the_stack_v2_python_sparse

homeassistant/components/mysensors/light.py

home-assistant/core

train

35,501

ebf54b7cfbf6e4e047d3ffde56111a592385ccf4

[ "super(VggNet, self).__init__()\nself.vggname = vggname\nself.num_classes = num_classes\nself.regularizer = tf.contrib.layers.l2_regularizer(scale=wd)\nself.initializer = tf.contrib.layers.xavier_initializer()\nself.variance_initializer = tf.contrib.layers.variance_scaling_initializer(factor=0.1, mode='FAN_IN', uni...

<|body_start_0|> super(VggNet, self).__init__() self.vggname = vggname self.num_classes = num_classes self.regularizer = tf.contrib.layers.l2_regularizer(scale=wd) self.initializer = tf.contrib.layers.xavier_initializer() self.variance_initializer = tf.contrib.layers.vari...

Definition of VGG Networks.

VggNet

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VggNet: """Definition of VGG Networks.""" def __init__(self, vggname, neck, keep_prob, wd, feature_dim, num_classes=10): """Creates a model for classifying an image using VGG networks. Args: vggname: A string representing the vgg type, such as 'VGG11'. neck: A bool value that decides...

stack_v2_sparse_classes_75kplus_train_001571

5,958

permissive

[ { "docstring": "Creates a model for classifying an image using VGG networks. Args: vggname: A string representing the vgg type, such as 'VGG11'. neck: A bool value that decides using the MLP neck or not. keep_prob: The rate of keeping one neuron in Dropout. wd: The co-efficient of weight decay. feature_dim: the...

5

stack_v2_sparse_classes_30k_train_005388

Implement the Python class `VggNet` described below. Class description: Definition of VGG Networks. Method signatures and docstrings: - def __init__(self, vggname, neck, keep_prob, wd, feature_dim, num_classes=10): Creates a model for classifying an image using VGG networks. Args: vggname: A string representing the v...

dea327aa9e7ef7f7bca5a6c225dbdca1077a06e9

<|skeleton|> class VggNet: """Definition of VGG Networks.""" def __init__(self, vggname, neck, keep_prob, wd, feature_dim, num_classes=10): """Creates a model for classifying an image using VGG networks. Args: vggname: A string representing the vgg type, such as 'VGG11'. neck: A bool value that decides...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class VggNet: """Definition of VGG Networks.""" def __init__(self, vggname, neck, keep_prob, wd, feature_dim, num_classes=10): """Creates a model for classifying an image using VGG networks. Args: vggname: A string representing the vgg type, such as 'VGG11'. neck: A bool value that decides using the ML...

the_stack_v2_python_sparse

dble/vgg.py

Tarkiyah/googleResearch

train

11

49bfe4a6af5e4d3e11405aa04e0d0d654b02fa40

[ "self.fset = fset\nself.rules = []\nself.output = None", "self.output = self.rules[0].output\nfor i in range(1, len(self.rules)):\n self.output |= self.rules[i].output" ]

Defines a consequent of a rule.

Consequent

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Consequent: """Defines a consequent of a rule.""" def __init__(self, fset): """Initialization of consequent. Args: fset: reference to a fuzzy set. rules: list of rules which have this consequent.""" <|body_0|> def Aggregate(self): """Aggregates of the truth value...

stack_v2_sparse_classes_75kplus_train_001572

1,376

no_license

[ { "docstring": "Initialization of consequent. Args: fset: reference to a fuzzy set. rules: list of rules which have this consequent.", "name": "__init__", "signature": "def __init__(self, fset)" }, { "docstring": "Aggregates of the truth values with max method.", "name": "Aggregate", "si...

2

stack_v2_sparse_classes_30k_train_004116

Implement the Python class `Consequent` described below. Class description: Defines a consequent of a rule. Method signatures and docstrings: - def __init__(self, fset): Initialization of consequent. Args: fset: reference to a fuzzy set. rules: list of rules which have this consequent. - def Aggregate(self): Aggregat...

a165dba28853ca2dad3366193a5306d8a83e6dee

<|skeleton|> class Consequent: """Defines a consequent of a rule.""" def __init__(self, fset): """Initialization of consequent. Args: fset: reference to a fuzzy set. rules: list of rules which have this consequent.""" <|body_0|> def Aggregate(self): """Aggregates of the truth value...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Consequent: """Defines a consequent of a rule.""" def __init__(self, fset): """Initialization of consequent. Args: fset: reference to a fuzzy set. rules: list of rules which have this consequent.""" self.fset = fset self.rules = [] self.output = None def Aggregate(sel...

the_stack_v2_python_sparse

consequent.py

johmathe/gfuzzy

train

2

20ba13d1bc6f321fdacaf1bedae1ac4d26ce70f9

[ "self.desired_caps = {'platformName': PLANTFORM, 'deviceName': DEVICE_NAME, 'appPackage': APP_PACKAGE, 'appActivity': APP_ACTIVITY}\nself.driver = webdriver.Remote(DRIVER_SERVER, self.desired_caps)\nself.wait = WebDriverWait(self.driver, TIMEOUT)\nself.client = MongoClient(MONGO_URL)\nself.db = self.client[MONGO_DB...

<|body_start_0|> self.desired_caps = {'platformName': PLANTFORM, 'deviceName': DEVICE_NAME, 'appPackage': APP_PACKAGE, 'appActivity': APP_ACTIVITY} self.driver = webdriver.Remote(DRIVER_SERVER, self.desired_caps) self.wait = WebDriverWait(self.driver, TIMEOUT) self.client = MongoClient(M...

Moments

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001573

6,063

no_license

[ { "docstring": "初始化", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "登录", "name": "login", "signature": "def login(self)" }, { "docstring": "try: explore = self.wait.until(EC.presence_of_element_located((By.ID, 'com.tencent.mm:id/d7_'))) except: self.dri...

5

stack_v2_sparse_classes_30k_train_017383

Implement the Python class `Moments` described below. Class description: Implement the Moments class. Method signatures and docstrings: - def __init__(self): 初始化 - def login(self): 登录 - def enter(self): try: explore = self.wait.until(EC.presence_of_element_located((By.ID, 'com.tencent.mm:id/d7_'))) except: self.drive...

87cbae60f7a5b033851b0056dff741a3d5980d06

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Moments: def __init__(self): """初始化""" self.desired_caps = {'platformName': PLANTFORM, 'deviceName': DEVICE_NAME, 'appPackage': APP_PACKAGE, 'appActivity': APP_ACTIVITY} self.driver = webdriver.Remote(DRIVER_SERVER, self.desired_caps) self.wait = WebDriverWait(self.driver, TIME...

the_stack_v2_python_sparse

05-Moments/moments.py

Northxw/Python3_WebSpider

train

545

a0f189e75848f75d055e6b5c1c70327d51c75163

[ "each_statements = []\nfor i in range(len(self.statements)):\n func_for_statement = self.statements[i]\n current_statement = func_for_statement(g)\n each_statements.append(current_statement)\nreturn each_statements", "statement = ''\nfor i in range(len(statements)):\n current_statement = statements[i]...

<|body_start_0|> each_statements = [] for i in range(len(self.statements)): func_for_statement = self.statements[i] current_statement = func_for_statement(g) each_statements.append(current_statement) return each_statements <|end_body_0|> <|body_start_1|> ...

Gen

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001574

12,060

no_license

[ { "docstring": "processes the chain of statements and generates the array string with the finished statement.", "name": "process_chain", "signature": "def process_chain(self, g)" }, { "docstring": "given an array of strings, joins them into one big string.", "name": "join_statements", "s...

2

stack_v2_sparse_classes_30k_train_007288

Implement the Python class `Gen` described below. Class description: Implement the Gen class. Method signatures and docstrings: - def process_chain(self, g): processes the chain of statements and generates the array string with the finished statement. - def join_statements(self, statements): given an array of strings...

25efe0b85f594bd777a7172ab8c1a888459977f1

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Gen: def process_chain(self, g): """processes the chain of statements and generates the array string with the finished statement.""" each_statements = [] for i in range(len(self.statements)): func_for_statement = self.statements[i] current_statement = func_for_s...

the_stack_v2_python_sparse

main_proj_lib/old_frameworks_examples_tests/framework_numerical.py

brando90/MathNet-large-scale-Mathematics-Dataset-for-Machine-Learning

train

0

1d22b7ca7c4cf329912d134f09d7204dcb50aec7

[ "nums.sort()\nres = 0\nfor i in range(len(nums) - 2):\n for j in range(i + 1, len(nums) - 1):\n for k in range(j + 1, len(nums)):\n if nums[i] + nums[j] > nums[k]:\n res += 1\n else:\n break\nreturn res", "nums.sort(reverse=True)\nres = 0\nfor i in ran...

<|body_start_0|> nums.sort() res = 0 for i in range(len(nums) - 2): for j in range(i + 1, len(nums) - 1): for k in range(j + 1, len(nums)): if nums[i] + nums[j] > nums[k]: res += 1 else: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001575

1,429

no_license

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

2

null

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

7fa160362ebb58e7286b490012542baa2d51e5c9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def triangleNumber(self, nums): """:type nums: List[int] :rtype: int""" nums.sort() res = 0 for i in range(len(nums) - 2): for j in range(i + 1, len(nums) - 1): for k in range(j + 1, len(nums)): if nums[i] + nums[j] > nu...

the_stack_v2_python_sparse

medium/valid_triangle_number.py

gerrycfchang/leetcode-python

train

2

ebdc1880c0bda49d0624861e43e7cfa10b05a3ee

[ "if value <= self.value:\n self.left = self.add_to_subtree(self.left, value)\nelif value > self.value:\n self.right = self.add_to_subtree(self.right, value)", "if parent is None:\n return BinarySearchTree.Node(value)\nparent.add(value)\nreturn parent", "if value < self.value:\n self.left = self.remo...

extend node for use in Binary Search Tree implementation

Node

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001576

3,709

no_license

[ { "docstring": "add value to correct place in tree O(logn)", "name": "add", "signature": "def add(self, value)" }, { "docstring": "helper method to add", "name": "add_to_subtree", "signature": "def add_to_subtree(self, parent, value)" }, { "docstring": "remove value from tree and...

4

stack_v2_sparse_classes_30k_train_029070

Implement the Python class `Node` described below. Class description: extend node for use in Binary Search Tree implementation Method signatures and docstrings: - def add(self, value): add value to correct place in tree O(logn) - def add_to_subtree(self, parent, value): helper method to add - def remove(self, value):...

ef89e4c89cb014d0acea1669f927cadc6af70225

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Node: """extend node for use in Binary Search Tree implementation""" def add(self, value): """add value to correct place in tree O(logn)""" if value <= self.value: self.left = self.add_to_subtree(self.left, value) elif value > self.value: self.right = self....

the_stack_v2_python_sparse

Trees/binary_search_tree.py

hayleymathews/data_structures_and_algorithms

train

0

07aa30b259d6d26c3ceddec68d21386c90809c53

[ "user = info.context.user\nif not user.has_perm('releases.list_all_release'):\n raise GraphQLError('Not allowed')\nreturn Release.objects.all()", "user = info.context.user\nif not user.has_perm('releases.list_all_releasetask'):\n raise GraphQLError('Not allowed')\nreturn ReleaseTask.objects.all()", "user ...

Query

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001577

3,584

permissive

[ { "docstring": "Return all releases", "name": "resolve_all_releases", "signature": "def resolve_all_releases(self, info, **kwargs)" }, { "docstring": "Return all release tasks", "name": "resolve_all_release_tasks", "signature": "def resolve_all_release_tasks(self, info, **kwargs)" }, ...

4

stack_v2_sparse_classes_30k_train_021472

Implement the Python class `Query` described below. Class description: Implement the Query class. Method signatures and docstrings: - def resolve_all_releases(self, info, **kwargs): Return all releases - def resolve_all_release_tasks(self, info, **kwargs): Return all release tasks - def resolve_all_release_services(s...

ba62b369e6464259ea92dbb9ba49876513f37fba

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Query: def resolve_all_releases(self, info, **kwargs): """Return all releases""" user = info.context.user if not user.has_perm('releases.list_all_release'): raise GraphQLError('Not allowed') return Release.objects.all() def resolve_all_release_tasks(self, info,...

the_stack_v2_python_sparse

creator/releases/queries.py

kids-first/kf-api-study-creator

train

3

97ba2c8dbb90199871ebead20570ddb79ccca4d5

[ "args = movies_parser.parse_args()\npage = args['page']\nper_page = args['per_page']\nsort_by = args['sort_by']\nsort_order = args['order']\nstart = per_page * (page - 1)\nstop = start + per_page\ndescending = sort_order == 'desc'\nkwargs = {'start': start, 'stop': stop, 'list_id': list_id, 'order_by': sort_by, 'de...

<|body_start_0|> args = movies_parser.parse_args() page = args['page'] per_page = args['per_page'] sort_by = args['sort_by'] sort_order = args['order'] start = per_page * (page - 1) stop = start + per_page descending = sort_order == 'desc' kwargs =...

MovieListMoviesAPI

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001578

12,846

permissive

[ { "docstring": "Get movies by list ID", "name": "get", "signature": "def get(self, list_id, session=None)" }, { "docstring": "Add movies to list by ID", "name": "post", "signature": "def post(self, list_id, session=None)" } ]

2

stack_v2_sparse_classes_30k_train_015958

Implement the Python class `MovieListMoviesAPI` described below. Class description: Implement the MovieListMoviesAPI class. Method signatures and docstrings: - def get(self, list_id, session=None): Get movies by list ID - def post(self, list_id, session=None): Add movies to list by ID

Implement the Python class `MovieListMoviesAPI` described below. Class description: Implement the MovieListMoviesAPI class. Method signatures and docstrings: - def get(self, list_id, session=None): Get movies by list ID - def post(self, list_id, session=None): Add movies to list by ID <|skeleton|> class MovieListMov...

ea95ff60041beaea9aacbc2d93549e3a6b981dc5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MovieListMoviesAPI: def get(self, list_id, session=None): """Get movies by list ID""" args = movies_parser.parse_args() page = args['page'] per_page = args['per_page'] sort_by = args['sort_by'] sort_order = args['order'] start = per_page * (page - 1) ...

the_stack_v2_python_sparse

flexget/components/managed_lists/lists/movie_list/api.py

BrutuZ/Flexget

train

1

31a0c6d48b1a0d9e503cccb66943b41374ab6071

[ "self.nums = nums\nself.index_to_diff = dict()\nself.prefix_sum = [0] * (len(nums) + 1)\nfor i in range(len(self.nums)):\n self.prefix_sum[i + 1] = self.prefix_sum[i] + nums[i]", "aggregated_diff = val - self.nums[i]\nself.nums[i] = val\nif i in self.index_to_diff:\n aggregated_diff = self.index_to_diff[i] ...

NumArray

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001579

10,418

no_license

[ { "docstring": ":type nums: List[int]", "name": "__init__", "signature": "def __init__(self, nums)" }, { "docstring": ":type i: int :type val: int :rtype: void", "name": "update", "signature": "def update(self, i, val)" }, { "docstring": ":type i: int :type j: int :rtype: int", ...

3

null

Implement the Python class `NumArray` described below. Class description: Implement the NumArray class. Method signatures and docstrings: - def __init__(self, nums): :type nums: List[int] - def update(self, i, val): :type i: int :type val: int :rtype: void - def sumRange(self, i, j): :type i: int :type j: int :rtype:...

fa3704af37d9e04ab6fd13b7b17cc83c239946f7

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NumArray: def __init__(self, nums): """:type nums: List[int]""" self.nums = nums self.index_to_diff = dict() self.prefix_sum = [0] * (len(nums) + 1) for i in range(len(self.nums)): self.prefix_sum[i + 1] = self.prefix_sum[i] + nums[i] def update(self, i...

the_stack_v2_python_sparse

lintcode/medium/840_range_sum_query_mutable.py

simonfqy/SimonfqyGitHub

train

2

d7e08d9fe74455f70df4be5b7c4ca61f6214f580

[ "super(DCGAN3DEncoder, self).__init__(name=name)\nif initializers_no_bias is None:\n initializers_no_bias = _DEFAULT_CONV_INITIALIZERS_NO_BIAS\nif regularizers_no_bias is None:\n regularizers_no_bias = _DEFAULT_CONV_REGULARIZERS_NO_BIAS\nif filters is None:\n filters = [64, 128, 256, 512, 512]\nself._initi...

<|body_start_0|> super(DCGAN3DEncoder, self).__init__(name=name) if initializers_no_bias is None: initializers_no_bias = _DEFAULT_CONV_INITIALIZERS_NO_BIAS if regularizers_no_bias is None: regularizers_no_bias = _DEFAULT_CONV_REGULARIZERS_NO_BIAS if filters is Non...

A DCGAN model for 128x128 dimensional input.

DCGAN3DEncoder

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DCGAN3DEncoder: """A DCGAN model for 128x128 dimensional input.""" def __init__(self, latent_size=128, filters=None, final_activation=tf.nn.tanh, use_input_batchnorm=False, data_format='NCDHW', initializers_no_bias=None, regularizers_no_bias=None, name='dcgan_encoder'): """Constructs...

stack_v2_sparse_classes_75kplus_train_001580

31,363

no_license

[ { "docstring": "Constructs a spatiotemporal DCGAN Encoder. Args: latent_size: The number of channels in the output layer. Defaults to 128. filters: An optional iterable giving the number of filters at each layer of the network. If None, uses the default configuration of [64, 128, 256, 512, 512]. final_activatio...

2

stack_v2_sparse_classes_30k_train_002414

Implement the Python class `DCGAN3DEncoder` described below. Class description: A DCGAN model for 128x128 dimensional input. Method signatures and docstrings: - def __init__(self, latent_size=128, filters=None, final_activation=tf.nn.tanh, use_input_batchnorm=False, data_format='NCDHW', initializers_no_bias=None, reg...

358a09d491aab0794df9cc7f3f8064430a78fbc3

<|skeleton|> class DCGAN3DEncoder: """A DCGAN model for 128x128 dimensional input.""" def __init__(self, latent_size=128, filters=None, final_activation=tf.nn.tanh, use_input_batchnorm=False, data_format='NCDHW', initializers_no_bias=None, regularizers_no_bias=None, name='dcgan_encoder'): """Constructs...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DCGAN3DEncoder: """A DCGAN model for 128x128 dimensional input.""" def __init__(self, latent_size=128, filters=None, final_activation=tf.nn.tanh, use_input_batchnorm=False, data_format='NCDHW', initializers_no_bias=None, regularizers_no_bias=None, name='dcgan_encoder'): """Constructs a spatiotemp...

the_stack_v2_python_sparse

architectures/conv_architectures.py

zwbgood6/temporal-hierarchy

train

0

b1d53a1b2a15c85fa0dbb4f6ed7cb233c0e1ed65

[ "delivery = data.get('delivery')\nif current_app.config.get('ILS_CIRCULATION_DELIVERY_METHODS', {}) and (not delivery):\n raise ValidationError('Delivery is required.', 'delivery')", "start = arrow.get(data['request_start_date']).date()\nend = arrow.get(data['request_expire_date']).date()\nduration_days = curr...

<|body_start_0|> delivery = data.get('delivery') if current_app.config.get('ILS_CIRCULATION_DELIVERY_METHODS', {}) and (not delivery): raise ValidationError('Delivery is required.', 'delivery') <|end_body_0|> <|body_start_1|> start = arrow.get(data['request_start_date']).date() ...

Loan request schema.

LoanRequestSchemaV1

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001581

3,449

permissive

[ { "docstring": "Validate schema delivery field.", "name": "validates_schema", "signature": "def validates_schema(self, data, **kwargs)" }, { "docstring": "Validate dates values.", "name": "postload_checks", "signature": "def postload_checks(self, data, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_train_022679

Implement the Python class `LoanRequestSchemaV1` described below. Class description: Loan request schema. Method signatures and docstrings: - def validates_schema(self, data, **kwargs): Validate schema delivery field. - def postload_checks(self, data, **kwargs): Validate dates values.

Implement the Python class `LoanRequestSchemaV1` described below. Class description: Loan request schema. Method signatures and docstrings: - def validates_schema(self, data, **kwargs): Validate schema delivery field. - def postload_checks(self, data, **kwargs): Validate dates values. <|skeleton|> class LoanRequestS...

1c36526e85510100c5f64059518d1b716d87ac10

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LoanRequestSchemaV1: """Loan request schema.""" def validates_schema(self, data, **kwargs): """Validate schema delivery field.""" delivery = data.get('delivery') if current_app.config.get('ILS_CIRCULATION_DELIVERY_METHODS', {}) and (not delivery): raise ValidationError...

the_stack_v2_python_sparse

invenio_app_ils/circulation/loaders/schemas/json/loan_request.py

inveniosoftware/invenio-app-ils

train

64

f3f2496ef169f294042afa87f6f66f1a2af70503

[ "if not root:\n return ''\nqueue = collections.deque([root])\nres = []\nwhile queue:\n node = queue.popleft()\n if node:\n res.append(str(node.val))\n queue.append(node.left)\n queue.append(node.right)\n else:\n res.append('None')\nreturn '[' + ','.join(res) + ']'", "if not...

<|body_start_0|> if not root: return '' queue = collections.deque([root]) res = [] while queue: node = queue.popleft() if node: res.append(str(node.val)) queue.append(node.left) queue.append(node.right) ...

序列化： - 用BFS遍历树，与一般遍历不同点是不管node的左右子节点是否存在，统统加到队列中 - 在节点出队时，如果节点不存在，在返回值res中加入一个 null；如果节点存在，则加入节点值的字符串形式反序列化： - 同样使用BFS方法，利用队列新建二叉树 - 首先要将data转换成列表，然后遍历，只要不为null将节点按顺序加入二叉树中；同时还要将节点入队 - 队列为空时遍历完毕，返回根节点

Codec

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Codec: """序列化： - 用BFS遍历树，与一般遍历不同点是不管node的左右子节点是否存在，统统加到队列中 - 在节点出队时，如果节点不存在，在返回值res中加入一个 null；如果节点存在，则加入节点值的字符串形式反序列化： - 同样使用BFS方法，利用队列新建二叉树 - 首先要将data转换成列表，然后遍历，只要不为null将节点按顺序加入二叉树中；同时还要将节点入队 - 队列为空时遍历完毕，返回根节点""" def serialize(self, root): """Encodes a tree to a single str...

stack_v2_sparse_classes_75kplus_train_001582

1,834

no_license

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

2

null

Implement the Python class `Codec` described below. Class description: 序列化： - 用BFS遍历树，与一般遍历不同点是不管node的左右子节点是否存在，统统加到队列中 - 在节点出队时，如果节点不存在，在返回值res中加入一个 null；如果节点存在，则加入节点值的字符串形式反序列化： - 同样使用BFS方法，利用队列新建二叉树 - 首先要将data转换成列表，然后遍历，只要不为null将节点按顺序加入二叉树中；同时还要将节点入队 - 队列为空时遍历完毕，返回根节点 Method signatures and docstrings: - ...

f350b3d6e59fd5771e11ec0b466f9ba5eeb8e927

<|skeleton|> class Codec: """序列化： - 用BFS遍历树，与一般遍历不同点是不管node的左右子节点是否存在，统统加到队列中 - 在节点出队时，如果节点不存在，在返回值res中加入一个 null；如果节点存在，则加入节点值的字符串形式反序列化： - 同样使用BFS方法，利用队列新建二叉树 - 首先要将data转换成列表，然后遍历，只要不为null将节点按顺序加入二叉树中；同时还要将节点入队 - 队列为空时遍历完毕，返回根节点""" def serialize(self, root): """Encodes a tree to a single str...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Codec: """序列化： - 用BFS遍历树，与一般遍历不同点是不管node的左右子节点是否存在，统统加到队列中 - 在节点出队时，如果节点不存在，在返回值res中加入一个 null；如果节点存在，则加入节点值的字符串形式反序列化： - 同样使用BFS方法，利用队列新建二叉树 - 首先要将data转换成列表，然后遍历，只要不为null将节点按顺序加入二叉树中；同时还要将节点入队 - 队列为空时遍历完毕，返回根节点""" def serialize(self, root): """Encodes a tree to a single string. :type ro...

the_stack_v2_python_sparse

leetcode/python/297.py

ShawnDong98/Algorithm-Book

train

0

ca0fd627e4169301e33c205f0ead7a512db36aa9

[ "node = root\nstack = []\noutput = []\nwhile stack or node:\n while node:\n stack.append(node)\n node = node.left\n current = stack.pop()\n output.append(current.val)\n node = current.right\nreturn output", "output, stack = ([], [(root, False)])\nwhile stack:\n node, is_visited = stac...

<|body_start_0|> node = root stack = [] output = [] while stack or node: while node: stack.append(node) node = node.left current = stack.pop() output.append(current.val) node = current.right return ou...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001583

3,672

no_license

[ { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "inorderTraversal", "signature": "def inorderTraversal(self, root)" }, { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "inorderTraversal_stack", "signature": "def inorderTraversal_stack(self, root)" }, ...

4

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def inorderTraversal(self, root): :type root: TreeNode :rtype: List[int] - def inorderTraversal_stack(self, root): :type root: TreeNode :rtype: List[int] - def inorderTraversal_r...

e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def inorderTraversal(self, root): """:type root: TreeNode :rtype: List[int]""" node = root stack = [] output = [] while stack or node: while node: stack.append(node) node = node.left current = stack.pop()...

the_stack_v2_python_sparse

src/lt_94.py

oxhead/CodingYourWay

train

0

ff23ce6e378b65dcf0a3864393dc22f86a7da7e0

[ "if request.user.username == 'Admin':\n return Response(data={'Admin 페이지 접속 가능!'}, status=status.HTTP_200_OK)\nelse:\n return Response(data={'Admin 페이지 접속 불가능!'}, status=status.HTTP_400_BAD_REQUEST)", "if request.user.username == 'Admin':\n query_set = AdminCategory.objects.filter(parent_category_id=None...

<|body_start_0|> if request.user.username == 'Admin': return Response(data={'Admin 페이지 접속 가능!'}, status=status.HTTP_200_OK) else: return Response(data={'Admin 페이지 접속 불가능!'}, status=status.HTTP_400_BAD_REQUEST) <|end_body_0|> <|body_start_1|> if request.user.username == '...

AdminViewSet

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001584

35,811

no_license

[ { "docstring": "관리자가 맞는지 확인 [admin token required] : 입력받은 토큰으로 관리자가 맞는지 확인", "name": "is_admin", "signature": "def is_admin(self, request)" }, { "docstring": "관리자 페이지 카테고리 전송 [admin token required]", "name": "admin_category", "signature": "def admin_category(self, request)" } ]

2

stack_v2_sparse_classes_30k_train_040323

Implement the Python class `AdminViewSet` described below. Class description: Implement the AdminViewSet class. Method signatures and docstrings: - def is_admin(self, request): 관리자가 맞는지 확인 [admin token required] : 입력받은 토큰으로 관리자가 맞는지 확인 - def admin_category(self, request): 관리자 페이지 카테고리 전송 [admin token required]

Implement the Python class `AdminViewSet` described below. Class description: Implement the AdminViewSet class. Method signatures and docstrings: - def is_admin(self, request): 관리자가 맞는지 확인 [admin token required] : 입력받은 토큰으로 관리자가 맞는지 확인 - def admin_category(self, request): 관리자 페이지 카테고리 전송 [admin token required] <|ske...

bcc955bddd9941f2bc54f7577c26c1ddc6b36a48

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AdminViewSet: def is_admin(self, request): """관리자가 맞는지 확인 [admin token required] : 입력받은 토큰으로 관리자가 맞는지 확인""" if request.user.username == 'Admin': return Response(data={'Admin 페이지 접속 가능!'}, status=status.HTTP_200_OK) else: return Response(data={'Admin 페이지 접속 불가능!'...

the_stack_v2_python_sparse

admin_page/views.py

bgy1060/Daily_Project

train

1

627d804042051840456f961290b86bebbccdacb2

[ "if roi_center is not None and roi_size is not None:\n roi_center = np.asarray(roi_center, dtype=np.uint16)\n roi_size = np.asarray(roi_size, dtype=np.uint16)\n self.roi_start = np.subtract(roi_center, np.floor_divide(roi_size, 2))\n self.roi_end = np.add(self.roi_start, roi_size)\nelse:\n assert roi...

<|body_start_0|> if roi_center is not None and roi_size is not None: roi_center = np.asarray(roi_center, dtype=np.uint16) roi_size = np.asarray(roi_size, dtype=np.uint16) self.roi_start = np.subtract(roi_center, np.floor_divide(roi_size, 2)) self.roi_end = np.add(...

General purpose cropper to produce sub-volume region of interest (ROI). It can support to crop ND spatial (channel-first) data. Either a spatial center and size must be provided, or alternatively if center and size are not provided, the start and end coordinates of the ROI must be provided. The sub-volume must sit the ...

SpatialCrop

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SpatialCrop: """General purpose cropper to produce sub-volume region of interest (ROI). It can support to crop ND spatial (channel-first) data. Either a spatial center and size must be provided, or alternatively if center and size are not provided, the start and end coordinates of the ROI must be...

stack_v2_sparse_classes_75kplus_train_001585

27,976

permissive

[ { "docstring": "Args: roi_center: voxel coordinates for center of the crop ROI. roi_size: size of the crop ROI. roi_start: voxel coordinates for start of the crop ROI. roi_end: voxel coordinates for end of the crop ROI.", "name": "__init__", "signature": "def __init__(self, roi_center: Optional[Sequence...

2

stack_v2_sparse_classes_30k_train_036890

Implement the Python class `SpatialCrop` described below. Class description: General purpose cropper to produce sub-volume region of interest (ROI). It can support to crop ND spatial (channel-first) data. Either a spatial center and size must be provided, or alternatively if center and size are not provided, the start...

d94c4d3a2c465717ba3fae01b7acea7fada9885b

<|skeleton|> class SpatialCrop: """General purpose cropper to produce sub-volume region of interest (ROI). It can support to crop ND spatial (channel-first) data. Either a spatial center and size must be provided, or alternatively if center and size are not provided, the start and end coordinates of the ROI must be...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SpatialCrop: """General purpose cropper to produce sub-volume region of interest (ROI). It can support to crop ND spatial (channel-first) data. Either a spatial center and size must be provided, or alternatively if center and size are not provided, the start and end coordinates of the ROI must be provided. Th...

the_stack_v2_python_sparse

monai/transforms/croppad/array.py

precision-medicine-um/MONAI-Deep_Learning

train

3

65792c3c8c6dcf24b2042f655300ba59dd6b7113

[ "url = request.url\nif forbidden.search(url):\n raise exceptions.IgnoreRequest('{} is blacklisted'.format(url))", "url = response.url\nif url.endswith('ajax-module-connector.php'):\n data = None\n try:\n data = json.loads(response.text)\n except json.decoder.JSONDecodeError:\n print('Err...

<|body_start_0|> url = request.url if forbidden.search(url): raise exceptions.IgnoreRequest('{} is blacklisted'.format(url)) <|end_body_0|> <|body_start_1|> url = response.url if url.endswith('ajax-module-connector.php'): data = None try: ...

SherlockDownloaderMiddleware

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001586

1,633

permissive

[ { "docstring": "Prohibit incompatible URL", "name": "process_request", "signature": "def process_request(self, request, spider)" }, { "docstring": "Format Wikidot response", "name": "process_response", "signature": "def process_response(self, request, response, spider)" } ]

2

stack_v2_sparse_classes_30k_train_001060

Implement the Python class `SherlockDownloaderMiddleware` described below. Class description: Implement the SherlockDownloaderMiddleware class. Method signatures and docstrings: - def process_request(self, request, spider): Prohibit incompatible URL - def process_response(self, request, response, spider): Format Wiki...

e1d44d115cb6263c229b16ccfc66ebe846563e51

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SherlockDownloaderMiddleware: def process_request(self, request, spider): """Prohibit incompatible URL""" url = request.url if forbidden.search(url): raise exceptions.IgnoreRequest('{} is blacklisted'.format(url)) def process_response(self, request, response, spider): ...

the_stack_v2_python_sparse

sherlock/middlewares.py

foundation-int-tech-team/sherlock

train

24

8e57d07b65e9c83ed6a0c2345877217cc7e8747a

[ "omega_0 = self.frequency * 2.0 * m.pi\nself.cos_omega_t = m.cos(omega_0 / self.sample_rate)\nself.y2 = m.sin(-omega_0 / self.sample_rate)\nself.y1 = 0.0", "if length is None:\n length = len(arr)\nif length > len(arr):\n raise IndexError('Recursive Oscillator: buffer is too small!')\nif length < 1:\n rai...

RecursiveOscillator

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001587

2,890

no_license

[ { "docstring": "Create the initial values needed to simulate infinite oscillation", "name": "setup", "signature": "def setup(self)" }, { "docstring": "Generates a sine wave into a given buffer", "name": "generate", "signature": "def generate(self, arr, length=None)" } ]

2

null

Implement the Python class `RecursiveOscillator` described below. Class description: Implement the RecursiveOscillator class. Method signatures and docstrings: - def setup(self): Create the initial values needed to simulate infinite oscillation - def generate(self, arr, length=None): Generates a sine wave into a give...

9ab8c2e5516893353abe2cb5385247158a5dcb6a

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RecursiveOscillator: def setup(self): """Create the initial values needed to simulate infinite oscillation""" omega_0 = self.frequency * 2.0 * m.pi self.cos_omega_t = m.cos(omega_0 / self.sample_rate) self.y2 = m.sin(-omega_0 / self.sample_rate) self.y1 = 0.0 def g...

the_stack_v2_python_sparse

recursiveOsc.py

chrisssc/pyVis

train

1

71f0515df79acba71f8512346af2e9986ccb234f

[ "self.__io: BackupPcCloneStyle = io\n'\\n The output style.\\n '\nself.__host: str = ''\n'\\n The host of the backup.\\n '\nself.__backup_no: int = 0\n'\\n The number of the backup.\\n '", "self.__io.writeln(' Removing files')\nbackup_dir_clone = Config.instance.backup_di...

<|body_start_0|> self.__io: BackupPcCloneStyle = io '\n The output style.\n ' self.__host: str = '' '\n The host of the backup.\n ' self.__backup_no: int = 0 '\n The number of the backup.\n ' <|end_body_0|> <|body_start_1|> ...

Deletes a backup of a host

BackupDelete

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BackupDelete: """Deletes a backup of a host""" def __init__(self, io: BackupPcCloneStyle): """Object constructor. @param BackupPcCloneStyle io: The output style.""" <|body_0|> def __delete_files(self) -> None: """Removes the backup from the cone file system.""" ...

stack_v2_sparse_classes_75kplus_train_001588

2,378

permissive

[ { "docstring": "Object constructor. @param BackupPcCloneStyle io: The output style.", "name": "__init__", "signature": "def __init__(self, io: BackupPcCloneStyle)" }, { "docstring": "Removes the backup from the cone file system.", "name": "__delete_files", "signature": "def __delete_file...

4

null

Implement the Python class `BackupDelete` described below. Class description: Deletes a backup of a host Method signatures and docstrings: - def __init__(self, io: BackupPcCloneStyle): Object constructor. @param BackupPcCloneStyle io: The output style. - def __delete_files(self) -> None: Removes the backup from the c...

a4009868f6cbec42f247f392965077c55f7265c5

<|skeleton|> class BackupDelete: """Deletes a backup of a host""" def __init__(self, io: BackupPcCloneStyle): """Object constructor. @param BackupPcCloneStyle io: The output style.""" <|body_0|> def __delete_files(self) -> None: """Removes the backup from the cone file system.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BackupDelete: """Deletes a backup of a host""" def __init__(self, io: BackupPcCloneStyle): """Object constructor. @param BackupPcCloneStyle io: The output style.""" self.__io: BackupPcCloneStyle = io '\n The output style.\n ' self.__host: str = '' '\n...

the_stack_v2_python_sparse

backuppc_clone/helper/BackupDelete.py

SetBased/BackupPC-Clone

train

7

b313e68fd80438658763cc519ad31869719905e3

[ "self.filepath = filepath\nself.sheet_name = sheet_name\nself.xls_wb = xlrd.open_workbook(self.filepath)\nself.xls_ws = self.xls_wb.sheet_names()\nself.xls_wl = self.xls_wb.sheet_loaded(self.sheet_name)", "try:\n xls_ws = self.xls_wb.sheet_by_name(self.sheet_name)\n valid_rows = xls_ws.nrows\n valid_cols...

工作薄 sheet页单元格行列

ExcelUtil

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ExcelUtil: """工作薄 sheet页单元格行列""" def __init__(self, filepath, sheet_name=''): """初始化对象的同时就设置初始值，通过形参传递数据 :param filepath: excel文件路径 :param sheet_name: sheet名称""" <|body_0|> def operate_row(self): """行的操作列的操作相同 xls_ws, valid_rows等都是局部变量，作用域只在该方法内 :return:""" ...

stack_v2_sparse_classes_75kplus_train_001589

3,336

no_license

[ { "docstring": "初始化对象的同时就设置初始值，通过形参传递数据 :param filepath: excel文件路径 :param sheet_name: sheet名称", "name": "__init__", "signature": "def __init__(self, filepath, sheet_name='')" }, { "docstring": "行的操作列的操作相同 xls_ws, valid_rows等都是局部变量，作用域只在该方法内 :return:", "name": "operate_row", "signature":...

3

stack_v2_sparse_classes_30k_train_033113

Implement the Python class `ExcelUtil` described below. Class description: 工作薄 sheet页单元格行列 Method signatures and docstrings: - def __init__(self, filepath, sheet_name=''): 初始化对象的同时就设置初始值，通过形参传递数据 :param filepath: excel文件路径 :param sheet_name: sheet名称 - def operate_row(self): 行的操作列的操作相同 xls_ws, valid_rows等都是局部变量，作用...

d885b520757097c1d984d1cdda5d242ee5c6a5d6

<|skeleton|> class ExcelUtil: """工作薄 sheet页单元格行列""" def __init__(self, filepath, sheet_name=''): """初始化对象的同时就设置初始值，通过形参传递数据 :param filepath: excel文件路径 :param sheet_name: sheet名称""" <|body_0|> def operate_row(self): """行的操作列的操作相同 xls_ws, valid_rows等都是局部变量，作用域只在该方法内 :return:""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ExcelUtil: """工作薄 sheet页单元格行列""" def __init__(self, filepath, sheet_name=''): """初始化对象的同时就设置初始值，通过形参传递数据 :param filepath: excel文件路径 :param sheet_name: sheet名称""" self.filepath = filepath self.sheet_name = sheet_name self.xls_wb = xlrd.open_workbook(self.filepath) ...

the_stack_v2_python_sparse

API_AutoTest/Study/y_xlrd.py

yolotester/learngit

train

0

2382713acf4aaceb8e09d117e2612d6e6b5bc617

[ "for i in range(rows):\n for j in range(cols):\n if matrix[i * cols + j] == path[0]:\n if self.find(list(matrix), rows, cols, path[1:], i, j):\n return True", "if not path:\n return True\nmatrix[i * cols + j] = '0'\nif j + 1 < cols and matrix[i * cols + (j + 1)] == path[0]:\...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def hasPath(self, matrix, rows, cols, path): """首先，在矩阵中任选一个格子作为路径的起点。如果路径上的第i个字符不是ch，那么这个格子不可能处在路径上的第i个位置。如果路径上的第i个字符正好是ch，那么往相邻的格子寻找路径上的第i+1个字符。除在矩阵边界上的格子之外，其他格子都有4个相邻的格子。重复这个过程直到路径上的所有字符都在矩阵中找到相应的位置。由于回朔法的递归特性，路径可以被开成一个栈。当在矩阵中定位了路径中前n个字符的位置之后，在与第n个字符对应的格子的周围都没有找到第n+1个字符，这...

stack_v2_sparse_classes_75kplus_train_001590

3,558

no_license

[ { "docstring": "首先，在矩阵中任选一个格子作为路径的起点。如果路径上的第i个字符不是ch，那么这个格子不可能处在路径上的第i个位置。如果路径上的第i个字符正好是ch，那么往相邻的格子寻找路径上的第i+1个字符。除在矩阵边界上的格子之外，其他格子都有4个相邻的格子。重复这个过程直到路径上的所有字符都在矩阵中找到相应的位置。由于回朔法的递归特性，路径可以被开成一个栈。当在矩阵中定位了路径中前n个字符的位置之后，在与第n个字符对应的格子的周围都没有找到第n+1个字符，这个时候只要在路径上回到第n-1个字符，重新定位第n个字符。由于路径不能重复进入矩阵的格子，还需要定义和字符矩阵大小一样的布尔值矩阵...

2

stack_v2_sparse_classes_30k_train_007473

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def hasPath(self, matrix, rows, cols, path): 首先，在矩阵中任选一个格子作为路径的起点。如果路径上的第i个字符不是ch，那么这个格子不可能处在路径上的第i个位置。如果路径上的第i个字符正好是ch，那么往相邻的格子寻找路径上的第i+1个字符。除在矩阵边界上的格子之外，其他格子都有4个相邻的格子。重复这个过程直...

c756fe54e8e17e9ba0bfdab5fccc24ac89263d90

<|skeleton|> class Solution: def hasPath(self, matrix, rows, cols, path): """首先，在矩阵中任选一个格子作为路径的起点。如果路径上的第i个字符不是ch，那么这个格子不可能处在路径上的第i个位置。如果路径上的第i个字符正好是ch，那么往相邻的格子寻找路径上的第i+1个字符。除在矩阵边界上的格子之外，其他格子都有4个相邻的格子。重复这个过程直到路径上的所有字符都在矩阵中找到相应的位置。由于回朔法的递归特性，路径可以被开成一个栈。当在矩阵中定位了路径中前n个字符的位置之后，在与第n个字符对应的格子的周围都没有找到第n+1个字符，这...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def hasPath(self, matrix, rows, cols, path): """首先，在矩阵中任选一个格子作为路径的起点。如果路径上的第i个字符不是ch，那么这个格子不可能处在路径上的第i个位置。如果路径上的第i个字符正好是ch，那么往相邻的格子寻找路径上的第i+1个字符。除在矩阵边界上的格子之外，其他格子都有4个相邻的格子。重复这个过程直到路径上的所有字符都在矩阵中找到相应的位置。由于回朔法的递归特性，路径可以被开成一个栈。当在矩阵中定位了路径中前n个字符的位置之后，在与第n个字符对应的格子的周围都没有找到第n+1个字符，这个时候只要在路径上回到第n-...

the_stack_v2_python_sparse

newcoder_offer/has_path.py

EarthChen/LeetCode_Record

train

0

2037e7c5693e1c0d3a05ed9229553eb3c3cd4a81

[ "re_string = re.compile('[a-zA-Z0-9]')\nline = ''.join(re_string.findall(s)).lower()\nlenth = len(line)\nfor i in range(lenth // 2):\n if line[i] != line[lenth - i - 1]:\n print(line[i], i)\n return False\nreturn True", "s = s.lower()\ncharacter = 'abcdefghijklmnopqrstuvwxyz0123456789'\nl = []\nf...

<|body_start_0|> re_string = re.compile('[a-zA-Z0-9]') line = ''.join(re_string.findall(s)).lower() lenth = len(line) for i in range(lenth // 2): if line[i] != line[lenth - i - 1]: print(line[i], i) return False return True <|end_body_0...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001591

1,062

no_license

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

2

stack_v2_sparse_classes_30k_train_006876

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

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

d156c6a13c89727f80ed6244cae40574395ecf34

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def isPalindrome(self, s): """:type s: str :rtype: bool""" re_string = re.compile('[a-zA-Z0-9]') line = ''.join(re_string.findall(s)).lower() lenth = len(line) for i in range(lenth // 2): if line[i] != line[lenth - i - 1]: print(lin...

the_stack_v2_python_sparse

easy/125.py

longhao54/leetcode

train

0

2687f3033fe05cf24e0ee3c3b53fad5e401b1bd7

[ "self.cmd = cmd\nself.args = args\nself.kwargs = kwargs", "if type(self.cmd) is str:\n return eval(self.cmd)\nelse:\n return self.cmd(*self.args, **self.kwargs)" ]

Menu ou la liste des items est calculée dynamiquement

f_menu_dynamic

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class f_menu_dynamic: """Menu ou la liste des items est calculée dynamiquement""" def __init__(self, cmd, *args, **kwargs): """Initialisation cmd : code qui renvoie une liste de f_item Soit du texte, soit une fonction + en option arguments""" <|body_0|> def run(self): ...

stack_v2_sparse_classes_75kplus_train_001592

7,191

permissive

[ { "docstring": "Initialisation cmd : code qui renvoie une liste de f_item Soit du texte, soit une fonction + en option arguments", "name": "__init__", "signature": "def __init__(self, cmd, *args, **kwargs)" }, { "docstring": "Execute le code de cmd et renvoie la liste des f_item", "name": "r...

2

null

Implement the Python class `f_menu_dynamic` described below. Class description: Menu ou la liste des items est calculée dynamiquement Method signatures and docstrings: - def __init__(self, cmd, *args, **kwargs): Initialisation cmd : code qui renvoie une liste de f_item Soit du texte, soit une fonction + en option arg...

46c4f9369964b2f9108f2776bf74f24ccdc71e7f

<|skeleton|> class f_menu_dynamic: """Menu ou la liste des items est calculée dynamiquement""" def __init__(self, cmd, *args, **kwargs): """Initialisation cmd : code qui renvoie une liste de f_item Soit du texte, soit une fonction + en option arguments""" <|body_0|> def run(self): ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class f_menu_dynamic: """Menu ou la liste des items est calculée dynamiquement""" def __init__(self, cmd, *args, **kwargs): """Initialisation cmd : code qui renvoie une liste de f_item Soit du texte, soit une fonction + en option arguments""" self.cmd = cmd self.args = args self...

the_stack_v2_python_sparse

build/lib/FGPIO/f_menu.py

FredThx/FGPIO

train

0

5ba168808aada276dad4aad1a07b340dfb890745

[ "self.deque = collections.deque([])\nself.dic = {}\nself.capacity = capacity", "if key not in self.dic:\n return -1\nself.deque.remove(key)\nself.deque.append(key)\nreturn self.dic[key]", "if key in self.dic:\n self.deque.remove(key)\nelif len(self.dic) == self.capacity:\n v = self.deque.popleft()\n ...

<|body_start_0|> self.deque = collections.deque([]) self.dic = {} self.capacity = capacity <|end_body_0|> <|body_start_1|> if key not in self.dic: return -1 self.deque.remove(key) self.deque.append(key) return self.dic[key] <|end_body_1|> <|body_star...

LRUCache

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001593

2,684

no_license

[ { "docstring": ":type capacity: int", "name": "__init__", "signature": "def __init__(self, capacity)" }, { "docstring": ":rtype: int", "name": "get", "signature": "def get(self, key)" }, { "docstring": ":type key: int :type value: int :rtype: nothing", "name": "set", "sig...

3

stack_v2_sparse_classes_30k_test_002874

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): :rtype: int - def set(self, key, value): :type key: int :type value: int :rtype: nothing

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): :rtype: int - def set(self, key, value): :type key: int :type value: int :rtype: nothing <|skeleton|> cla...

9b82e3bd1b404e3cff31469986577ceec3924f73

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LRUCache: def __init__(self, capacity): """:type capacity: int""" self.deque = collections.deque([]) self.dic = {} self.capacity = capacity def get(self, key): """:rtype: int""" if key not in self.dic: return -1 self.deque.remove(key) ...

the_stack_v2_python_sparse

Python/146. LRU Cache.py

Qiumy/leetcode

train

0

b0324499c7ea989b7f7f46b3bf63af936c4d4a32

[ "self.name = name\nself.objective = objective\nself.wrapped_objective = ScoringFunctionWrapper(scoring_function=objective)\nself.contribution_specification = contribution_specification\nself.starting_population = starting_population", "number_molecules_to_generate = max(self.contribution_specification.top_counts)...

<|body_start_0|> self.name = name self.objective = objective self.wrapped_objective = ScoringFunctionWrapper(scoring_function=objective) self.contribution_specification = contribution_specification self.starting_population = starting_population <|end_body_0|> <|body_start_1|> ...

This class assesses how well a model is able to generate molecules satisfying a given objective.

GoalDirectedBenchmark

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GoalDirectedBenchmark: """This class assesses how well a model is able to generate molecules satisfying a given objective.""" def __init__(self, name: str, objective: ScoringFunction, contribution_specification: ScoreContributionSpecification, starting_population: Optional[List[str]]=None) -...

stack_v2_sparse_classes_75kplus_train_001594

5,427

permissive

[ { "docstring": "Args: name: Benchmark name objective: Objective for the goal-directed optimization contribution_specification: Specifies how to calculate the global benchmark score", "name": "__init__", "signature": "def __init__(self, name: str, objective: ScoringFunction, contribution_specification: S...

2

stack_v2_sparse_classes_30k_train_050893

Implement the Python class `GoalDirectedBenchmark` described below. Class description: This class assesses how well a model is able to generate molecules satisfying a given objective. Method signatures and docstrings: - def __init__(self, name: str, objective: ScoringFunction, contribution_specification: ScoreContrib...

60ebe1f6a396f16e08b834dce448e9343d259feb

<|skeleton|> class GoalDirectedBenchmark: """This class assesses how well a model is able to generate molecules satisfying a given objective.""" def __init__(self, name: str, objective: ScoringFunction, contribution_specification: ScoreContributionSpecification, starting_population: Optional[List[str]]=None) -...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GoalDirectedBenchmark: """This class assesses how well a model is able to generate molecules satisfying a given objective.""" def __init__(self, name: str, objective: ScoringFunction, contribution_specification: ScoreContributionSpecification, starting_population: Optional[List[str]]=None) -> None: ...

the_stack_v2_python_sparse

guacamol/goal_directed_benchmark.py

BenevolentAI/guacamol

train

328

4f7d83c3b987f082420462f0dc96e04463c57693

[ "def inorder(root, result):\n if root:\n inorder(root.left, result)\n result.append(root.val)\n inorder(root.right, result)\nresult = []\ninorder(root, result)\nreturn result", "result, stack = ([], [])\nwhile True:\n while root:\n stack.append(root)\n root = root.left\n ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001595

1,447

no_license

[ { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "inorderTraversal_recursive", "signature": "def inorderTraversal_recursive(self, root)" }, { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "inorderTraversal_iterative", "signature": "def inorderTraversal_it...

2

stack_v2_sparse_classes_30k_train_005290

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

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def inorderTraversal_recursive(self, root): :type root: TreeNode :rtype: List[int] - def inorderTraversal_iterative(self, root): :type root: TreeNode :rtype: List[int] <|skeleto...

9ac54720f571a4bea09d0cceb0039381a78df9e8

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def inorderTraversal_recursive(self, root): """:type root: TreeNode :rtype: List[int]""" def inorder(root, result): if root: inorder(root.left, result) result.append(root.val) inorder(root.right, result) result = [] ...

the_stack_v2_python_sparse

code/094_binary-tree-inorder-traversal.py

linhdvu14/leetcode-solutions

train

2

f6c0c52e91bfe7ad70e12feba311ddf88a5afdac

[ "if metadata:\n msg.update(metadata)\nreturn OrderBookMessage(OrderBookMessageType.SNAPSHOT, {'trading_pair': msg['trading_pair'], 'update_id': msg['lastUpdateId'], 'bids': msg['bids'], 'asks': msg['asks']}, timestamp=timestamp)", "if metadata:\n msg.update(metadata)\nreturn OrderBookMessage(OrderBookMessag...

<|body_start_0|> if metadata: msg.update(metadata) return OrderBookMessage(OrderBookMessageType.SNAPSHOT, {'trading_pair': msg['trading_pair'], 'update_id': msg['lastUpdateId'], 'bids': msg['bids'], 'asks': msg['asks']}, timestamp=timestamp) <|end_body_0|> <|body_start_1|> if metada...

MexcOrderBook

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MexcOrderBook: def snapshot_message_from_exchange(cls, msg: Dict[str, any], timestamp: float, metadata: Optional[Dict]=None) -> OrderBookMessage: """Creates a snapshot message with the order book snapshot message :param msg: the response from the exchange when requesting the order book s...

stack_v2_sparse_classes_75kplus_train_001596

3,481

permissive

[ { "docstring": "Creates a snapshot message with the order book snapshot message :param msg: the response from the exchange when requesting the order book snapshot :param timestamp: the snapshot timestamp :param metadata: a dictionary with extra information to add to the snapshot data :return: a snapshot message...

3

stack_v2_sparse_classes_30k_train_029930

Implement the Python class `MexcOrderBook` described below. Class description: Implement the MexcOrderBook class. Method signatures and docstrings: - def snapshot_message_from_exchange(cls, msg: Dict[str, any], timestamp: float, metadata: Optional[Dict]=None) -> OrderBookMessage: Creates a snapshot message with the o...

c3f101759ab7e7a2165cd23a3a3e94c90c642a9b

<|skeleton|> class MexcOrderBook: def snapshot_message_from_exchange(cls, msg: Dict[str, any], timestamp: float, metadata: Optional[Dict]=None) -> OrderBookMessage: """Creates a snapshot message with the order book snapshot message :param msg: the response from the exchange when requesting the order book s...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MexcOrderBook: def snapshot_message_from_exchange(cls, msg: Dict[str, any], timestamp: float, metadata: Optional[Dict]=None) -> OrderBookMessage: """Creates a snapshot message with the order book snapshot message :param msg: the response from the exchange when requesting the order book snapshot :param...

the_stack_v2_python_sparse

hummingbot/connector/exchange/mexc/mexc_order_book.py

CoinAlpha/hummingbot

train

135

eb0a9606c1d8c12fe4f05db2aa3cc2347705c925

[ "class X(cls):\n subtypeSpec = cls.subtypeSpec + constraint.SingleValueConstraint(*values)\nX.__name__ = cls.__name__\nreturn X", "class X(cls):\n subtypeSpec = cls.subtypeSpec + constraint.ValueRangeConstraint(minimum, maximum)\nX.__name__ = cls.__name__\nreturn X" ]

Creates an instance of SNMP Integer32 class. :py:class:`~pysnmp.proto.rfc1902.Integer32` type represents integer-valued information between -2147483648 to 2147483647 inclusive (:RFC:`1902#section-7.1.1`). This type is indistinguishable from the :py:class:`~pysnmp.proto.rfc1902.Integer` type. The :py:class:`~pysnmp.prot...

Integer32

[ "Apache-2.0", "PSF-2.0", "LGPL-2.0-or-later", "BSD-3-Clause", "BSD-2-Clause", "MPL-2.0", "LGPL-3.0-only" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Integer32: """Creates an instance of SNMP Integer32 class. :py:class:`~pysnmp.proto.rfc1902.Integer32` type represents integer-valued information between -2147483648 to 2147483647 inclusive (:RFC:`1902#section-7.1.1`). This type is indistinguishable from the :py:class:`~pysnmp.proto.rfc1902.Integ...

stack_v2_sparse_classes_75kplus_train_001597

22,493

permissive

[ { "docstring": "Creates a subclass with discreet values constraint.", "name": "withValues", "signature": "def withValues(cls, *values)" }, { "docstring": "Creates a subclass with value range constraint.", "name": "withRange", "signature": "def withRange(cls, minimum, maximum)" } ]

2

null

Implement the Python class `Integer32` described below. Class description: Creates an instance of SNMP Integer32 class. :py:class:`~pysnmp.proto.rfc1902.Integer32` type represents integer-valued information between -2147483648 to 2147483647 inclusive (:RFC:`1902#section-7.1.1`). This type is indistinguishable from the...

5099a498edc47ab841965b483c2c32af49eb7dae

<|skeleton|> class Integer32: """Creates an instance of SNMP Integer32 class. :py:class:`~pysnmp.proto.rfc1902.Integer32` type represents integer-valued information between -2147483648 to 2147483647 inclusive (:RFC:`1902#section-7.1.1`). This type is indistinguishable from the :py:class:`~pysnmp.proto.rfc1902.Integ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Integer32: """Creates an instance of SNMP Integer32 class. :py:class:`~pysnmp.proto.rfc1902.Integer32` type represents integer-valued information between -2147483648 to 2147483647 inclusive (:RFC:`1902#section-7.1.1`). This type is indistinguishable from the :py:class:`~pysnmp.proto.rfc1902.Integer` type. The...

the_stack_v2_python_sparse

scalyr_agent/third_party/pysnmp/proto/rfc1902.py

scalyr/scalyr-agent-2

train

75

7832d6c9eda8448515dcca08029e2f8e73b792dc

[ "end = len(numbers) - 1\nstart = 1\nfor index, num in enumerate(numbers):\n find_index = self.find_num(numbers, target - num, index + 1, end)\n if find_index != -1:\n return [index + 1, find_index + 1]", "if end - start < 2:\n if numbers[start] == target:\n return start\n elif numbers[en...

Solution_1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001598

2,289

no_license

[ { "docstring": ":type numbers: List[int] :type target: int :rtype: List[int]", "name": "twoSum", "signature": "def twoSum(self, numbers, target)" }, { "docstring": "return index if target was find, else return -1", "name": "find_num", "signature": "def find_num(self, numbers, target, sta...

2

stack_v2_sparse_classes_30k_train_029388

Implement the Python class `Solution_1` described below. Class description: Implement the Solution_1 class. Method signatures and docstrings: - def twoSum(self, numbers, target): :type numbers: List[int] :type target: int :rtype: List[int] - def find_num(self, numbers, target, start, end): return index if target was ...

f96a2273c6831a8035e1adacfa452f73c599ae16

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution_1: def twoSum(self, numbers, target): """:type numbers: List[int] :type target: int :rtype: List[int]""" end = len(numbers) - 1 start = 1 for index, num in enumerate(numbers): find_index = self.find_num(numbers, target - num, index + 1, end) if ...

the_stack_v2_python_sparse

Python/TwoSumIIInputarrayissorted.py

here0009/LeetCode

train

1

9be0fc98ceb0c3489d117ff5dbb5bd9ed2e967ed

[ "if self.is_removed:\n raise AlreadyRemovedError(self)\nself.is_removed = True\nself.save()", "if not self.is_removed:\n raise NotRemovedError(self)\nself.is_removed = False\nself.save()" ]

Fake removable mixin

BaseRemovableMixin

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_001599

2,929

no_license

[ { "docstring": "Remove object", "name": "remove", "signature": "def remove(self)" }, { "docstring": "Restore object", "name": "restore", "signature": "def restore(self)" } ]

2

stack_v2_sparse_classes_30k_train_009886

Implement the Python class `BaseRemovableMixin` described below. Class description: Fake removable mixin Method signatures and docstrings: - def remove(self): Remove object - def restore(self): Restore object

Implement the Python class `BaseRemovableMixin` described below. Class description: Fake removable mixin Method signatures and docstrings: - def remove(self): Remove object - def restore(self): Restore object <|skeleton|> class BaseRemovableMixin: """Fake removable mixin""" def remove(self): """Remo...

39deb1dc046c80edd6bfdfbef8391842eda35dd2

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BaseRemovableMixin: """Fake removable mixin""" def remove(self): """Remove object""" if self.is_removed: raise AlreadyRemovedError(self) self.is_removed = True self.save() def restore(self): """Restore object""" if not self.is_removed: ...

the_stack_v2_python_sparse

tools/mixins.py

nvbn/djang0byte

train

26