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

4e2a7659b3b97cda44731ce5fd901742d2d6a44c

[ "if operations not in ['f', 'b', 'fb', 'bf']:\n raise ValueError(\"'operations' parameter should be one of the following options: f, b, fb, bf.\")\nself.feature = next(self._parse_features(feature)())\nself.operations = operations\nself.value = value\nself.axis = axis", "if not isinstance(data, np.ndarray) or ...

<|body_start_0|> if operations not in ['f', 'b', 'fb', 'bf']: raise ValueError("'operations' parameter should be one of the following options: f, b, fb, bf.") self.feature = next(self._parse_features(feature)()) self.operations = operations self.value = value self.axi...

Overwrites occurrences of a desired value with their neighbor values in either forward, backward direction or both, along an axis. Possible fillout operations are 'f' (forward), 'b' (backward) or both, 'fb' or 'bf': 'f': nan, nan, nan, 8, 5, nan, 1, 0, nan, nan -> nan, nan, nan, 8, 5, 5, 1, 0, 0, 0 'b': nan, nan, nan, ...

ValueFilloutTask

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ValueFilloutTask: """Overwrites occurrences of a desired value with their neighbor values in either forward, backward direction or both, along an axis. Possible fillout operations are 'f' (forward), 'b' (backward) or both, 'fb' or 'bf': 'f': nan, nan, nan, 8, 5, nan, 1, 0, nan, nan -> nan, nan, n...

stack_v2_sparse_classes_75kplus_train_006100

8,688

permissive

[ { "docstring": ":param feature: A feature that must be value-filled. :type feature: an object supported by the :class:`FeatureParser<eolearn.core.utilities.FeatureParser>` :param operations: Fill directions, which should be one of ['f', 'b', 'fb', 'bf']. :type operations: str :param value: Which value to fill b...

3

stack_v2_sparse_classes_30k_train_022389

Implement the Python class `ValueFilloutTask` described below. Class description: Overwrites occurrences of a desired value with their neighbor values in either forward, backward direction or both, along an axis. Possible fillout operations are 'f' (forward), 'b' (backward) or both, 'fb' or 'bf': 'f': nan, nan, nan, 8...

148189e2b92e06059b87f223b596255ccafac86d

<|skeleton|> class ValueFilloutTask: """Overwrites occurrences of a desired value with their neighbor values in either forward, backward direction or both, along an axis. Possible fillout operations are 'f' (forward), 'b' (backward) or both, 'fb' or 'bf': 'f': nan, nan, nan, 8, 5, nan, 1, 0, nan, nan -> nan, nan, n...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ValueFilloutTask: """Overwrites occurrences of a desired value with their neighbor values in either forward, backward direction or both, along an axis. Possible fillout operations are 'f' (forward), 'b' (backward) or both, 'fb' or 'bf': 'f': nan, nan, nan, 8, 5, nan, 1, 0, nan, nan -> nan, nan, nan, 8, 5, 5, ...

the_stack_v2_python_sparse

features/eolearn/features/feature_manipulation.py

wouellette/eo-learn

train

2

c800ac64134d99ebb25866bd399b2fb0cc5ef359

[ "import bisect as bi\nM = []\nfor r in matrix:\n M.extend(r)\nidx = bi.bisect_left(M, target)\nif idx <= len(M) - 1 and M[idx] == target:\n return True\nreturn False", "for r in range(len(matrix)):\n if not matrix[r]:\n return False\n if target > matrix[r][-1]:\n continue\n if target ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def searchMatrix(self, matrix, target): """:type matrix: List[List[int]] :type target: int :rtype: bool convert matrix to a long sorted list then do a binary search.""" <|body_0|> def rewrite(self, matrix, target): """:type matrix: List[List[int]] :type tar...

stack_v2_sparse_classes_75kplus_train_006101

1,784

no_license

[ { "docstring": ":type matrix: List[List[int]] :type target: int :rtype: bool convert matrix to a long sorted list then do a binary search.", "name": "searchMatrix", "signature": "def searchMatrix(self, matrix, target)" }, { "docstring": ":type matrix: List[List[int]] :type target: int :rtype: bo...

2

stack_v2_sparse_classes_30k_train_027502

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 convert matrix to a long sorted list then do a binary search. - def rewrite(s...

6350568d16b0f8c49a020f055bb6d72e2705ea56

<|skeleton|> class Solution: def searchMatrix(self, matrix, target): """:type matrix: List[List[int]] :type target: int :rtype: bool convert matrix to a long sorted list then do a binary search.""" <|body_0|> def rewrite(self, matrix, target): """:type matrix: List[List[int]] :type tar...

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 convert matrix to a long sorted list then do a binary search.""" import bisect as bi M = [] for r in matrix: M.extend(r) idx = bi.bisect_left(M,...

the_stack_v2_python_sparse

co_ms/74_Search_a_2D_Matrix.py

vsdrun/lc_public

train

6

802979e54a11d2dd58f657d41129780c38efa549

[ "if data is None:\n loader = AgentDSTDataloader(MultiWOZDataloader())\n data = loader.load_data()\nself.file_url = 'https://convlab.blob.core.windows.net/convlab-2/mdbt_multiwoz_sys.zip'\nlocal_path = os.path.dirname(os.path.abspath(__file__))\nself.data_dir = os.path.join(local_path, data_dir)\nself.validati...

<|body_start_0|> if data is None: loader = AgentDSTDataloader(MultiWOZDataloader()) data = loader.load_data() self.file_url = 'https://convlab.blob.core.windows.net/convlab-2/mdbt_multiwoz_sys.zip' local_path = os.path.dirname(os.path.abspath(__file__)) self.data_...

MultiWozMDBT

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class MultiWozMDBT: def __init__(self, data_dir='configs', data=None): """Constructor of MultiWOzMDBT class. Args: data_dir (str): The path of data dir, where the root path is convlab2/dst/mdbt/multiwoz.""" <|body_0|> def auto_download(self): """Automatically download the ...

stack_v2_sparse_classes_75kplus_train_006102

5,484

permissive

[ { "docstring": "Constructor of MultiWOzMDBT class. Args: data_dir (str): The path of data dir, where the root path is convlab2/dst/mdbt/multiwoz.", "name": "__init__", "signature": "def __init__(self, data_dir='configs', data=None)" }, { "docstring": "Automatically download the pretrained model ...

2

stack_v2_sparse_classes_30k_train_009074

Implement the Python class `MultiWozMDBT` described below. Class description: Implement the MultiWozMDBT class. Method signatures and docstrings: - def __init__(self, data_dir='configs', data=None): Constructor of MultiWOzMDBT class. Args: data_dir (str): The path of data dir, where the root path is convlab2/dst/mdbt...

9547cb09bfd7e297e2c609637c9e38f6c94fdbfb

<|skeleton|> class MultiWozMDBT: def __init__(self, data_dir='configs', data=None): """Constructor of MultiWOzMDBT class. Args: data_dir (str): The path of data dir, where the root path is convlab2/dst/mdbt/multiwoz.""" <|body_0|> def auto_download(self): """Automatically download the ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MultiWozMDBT: def __init__(self, data_dir='configs', data=None): """Constructor of MultiWOzMDBT class. Args: data_dir (str): The path of data dir, where the root path is convlab2/dst/mdbt/multiwoz.""" if data is None: loader = AgentDSTDataloader(MultiWOZDataloader()) da...

the_stack_v2_python_sparse

convlab2/dst/mdbt/multiwoz/dst.py

sherlock1987/ConvLab-2

train

1

cfafb7718d56867e4447a865778877d7b9c170a0

[ "response = self.client.get('/demo_module/')\nself.assertEqual(response.status_code, 200)\nself.assertTemplateUsed(response, 'demo_module/home.html')\nself.assertContains(response, 'Demo-modul')", "response = self.client.get('/demo_module/show_info')\nself.assertEqual(response.status_code, 200)\nself.assertTempla...

Test cases for the demo module

TestHome

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestHome: """Test cases for the demo module""" def test_demo_homepage_works(self): """Test that the landing page for the module exists and renders""" <|body_0|> def test_info_page(self): """Test that the info page for the module exists and renders""" <|bo...

stack_v2_sparse_classes_75kplus_train_006103

1,148

no_license

[ { "docstring": "Test that the landing page for the module exists and renders", "name": "test_demo_homepage_works", "signature": "def test_demo_homepage_works(self)" }, { "docstring": "Test that the info page for the module exists and renders", "name": "test_info_page", "signature": "def ...

3

null

Implement the Python class `TestHome` described below. Class description: Test cases for the demo module Method signatures and docstrings: - def test_demo_homepage_works(self): Test that the landing page for the module exists and renders - def test_info_page(self): Test that the info page for the module exists and re...

7d5697a1de85b56c5ae10fb402ead310980212f7

<|skeleton|> class TestHome: """Test cases for the demo module""" def test_demo_homepage_works(self): """Test that the landing page for the module exists and renders""" <|body_0|> def test_info_page(self): """Test that the info page for the module exists and renders""" <|bo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestHome: """Test cases for the demo module""" def test_demo_homepage_works(self): """Test that the landing page for the module exists and renders""" response = self.client.get('/demo_module/') self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, '...

the_stack_v2_python_sparse

webinterface/demo_module/tests.py

AUTeam2/server-setup

train

2

f92a3e2f707a8af65f66bb923b044c36e3c64b51

[ "Idevice.__init__(self, x_(u'Java Applet'), x_(u'University of Auckland'), u'', u'', u'', parentNode)\nself.emphasis = Idevice.NoEmphasis\nself.appletCode = u''\nself.fileInstruc = u''\nself.codeInstruc = u''", "log.debug(u'uploadFile ' + unicode(filePath))\nresourceFile = Path(filePath)\nassert (self.parentNode,...

Java Applet Idevice. Enables you to embed java applet in the browser

AppletIdevice

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AppletIdevice: """Java Applet Idevice. Enables you to embed java applet in the browser""" def __init__(self, parentNode=None): """Sets up the idevice title and instructions etc""" <|body_0|> def uploadFile(self, filePath): """Store the upload files in the package...

stack_v2_sparse_classes_75kplus_train_006104

2,070

no_license

[ { "docstring": "Sets up the idevice title and instructions etc", "name": "__init__", "signature": "def __init__(self, parentNode=None)" }, { "docstring": "Store the upload files in the package Needs to be in a package to work.", "name": "uploadFile", "signature": "def uploadFile(self, fi...

3

stack_v2_sparse_classes_30k_train_014437

Implement the Python class `AppletIdevice` described below. Class description: Java Applet Idevice. Enables you to embed java applet in the browser Method signatures and docstrings: - def __init__(self, parentNode=None): Sets up the idevice title and instructions etc - def uploadFile(self, filePath): Store the upload...

1a99c1788f0eb9f1e5d8c2ced3892d00cd9449ad

<|skeleton|> class AppletIdevice: """Java Applet Idevice. Enables you to embed java applet in the browser""" def __init__(self, parentNode=None): """Sets up the idevice title and instructions etc""" <|body_0|> def uploadFile(self, filePath): """Store the upload files in the package...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AppletIdevice: """Java Applet Idevice. Enables you to embed java applet in the browser""" def __init__(self, parentNode=None): """Sets up the idevice title and instructions etc""" Idevice.__init__(self, x_(u'Java Applet'), x_(u'University of Auckland'), u'', u'', u'', parentNode) ...

the_stack_v2_python_sparse

eXe/rev1889-1952/left-trunk-1952/exe/idevices/appletidevice.py

joliebig/featurehouse_fstmerge_examples

train

3

753c5a93ad0d5d9fed607cf9f338b4b409635d3d

[ "self.sckt = sckt\nself.msg_cnt = 0\nself.d = Diffie()\nself.c = Cifra()\nself.s = SSL()\nself.public_key_server = None\nself.k = None", "self.msg_cnt += 1\nif self.msg_cnt == 1:\n return self.d.Public_key()\nelif self.msg_cnt == 2:\n self.public_key_server = msg[1541:]\n self.s.verifySignature(msg[:256]...

Classe que implementa a funcionalidade de um CLIENTE.

Client

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Client: """Classe que implementa a funcionalidade de um CLIENTE.""" def __init__(self, sckt=None): """Construtor da classe.""" <|body_0|> def process(self, msg=b''): """Processa uma mensagem (`bytestring`) enviada pelo SERVIDOR. Retorna a mensagem a transmitir co...

stack_v2_sparse_classes_75kplus_train_006105

7,208

no_license

[ { "docstring": "Construtor da classe.", "name": "__init__", "signature": "def __init__(self, sckt=None)" }, { "docstring": "Processa uma mensagem (`bytestring`) enviada pelo SERVIDOR. Retorna a mensagem a transmitir como resposta (`None` para finalizar ligacao)", "name": "process", "sign...

2

stack_v2_sparse_classes_30k_train_050072

Implement the Python class `Client` described below. Class description: Classe que implementa a funcionalidade de um CLIENTE. Method signatures and docstrings: - def __init__(self, sckt=None): Construtor da classe. - def process(self, msg=b''): Processa uma mensagem (`bytestring`) enviada pelo SERVIDOR. Retorna a men...

95a4e5966a37b431a85340762e326fb51ff6b608

<|skeleton|> class Client: """Classe que implementa a funcionalidade de um CLIENTE.""" def __init__(self, sckt=None): """Construtor da classe.""" <|body_0|> def process(self, msg=b''): """Processa uma mensagem (`bytestring`) enviada pelo SERVIDOR. Retorna a mensagem a transmitir co...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Client: """Classe que implementa a funcionalidade de um CLIENTE.""" def __init__(self, sckt=None): """Construtor da classe.""" self.sckt = sckt self.msg_cnt = 0 self.d = Diffie() self.c = Cifra() self.s = SSL() self.public_key_server = None ...

the_stack_v2_python_sparse

4ªAno/Criptografia/Aula8/G8/Client.py

joseluisgomes/MIETI

train

0

0f4478970af037f152436dfd5c765d4e97803738

[ "if self is ResizeLib.CV2:\n lossless = {bool: np.uint8, np.float16: np.float32}\n infoloss = {x: np.int32 for x in (np.uint32, np.int64, np.uint64, int)}\nif self is ResizeLib.PIL:\n lossless = {np.float16: np.float32}\n infoloss = {x: np.int32 for x in (np.uint16, np.uint32, np.int64, np.uint64, int)}...

<|body_start_0|> if self is ResizeLib.CV2: lossless = {bool: np.uint8, np.float16: np.float32} infoloss = {x: np.int32 for x in (np.uint32, np.int64, np.uint64, int)} if self is ResizeLib.PIL: lossless = {np.float16: np.float32} infoloss = {x: np.int32 for...

Backends available for spatial resizing of data.

ResizeLib

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ResizeLib: """Backends available for spatial resizing of data.""" def get_compatible_dtype(self, dtype: Union[np.dtype, type]) -> np.dtype: """Returns a suitable dtype with which the library can work. Warns if information loss could occur.""" <|body_0|> def _extract_comp...

stack_v2_sparse_classes_75kplus_train_006106

7,379

permissive

[ { "docstring": "Returns a suitable dtype with which the library can work. Warns if information loss could occur.", "name": "get_compatible_dtype", "signature": "def get_compatible_dtype(self, dtype: Union[np.dtype, type]) -> np.dtype" }, { "docstring": "Searches the dictionaries and extract the ...

2

null

Implement the Python class `ResizeLib` described below. Class description: Backends available for spatial resizing of data. Method signatures and docstrings: - def get_compatible_dtype(self, dtype: Union[np.dtype, type]) -> np.dtype: Returns a suitable dtype with which the library can work. Warns if information loss ...

a65899e4632b50c9c41a67e1f7698c09b929d840

<|skeleton|> class ResizeLib: """Backends available for spatial resizing of data.""" def get_compatible_dtype(self, dtype: Union[np.dtype, type]) -> np.dtype: """Returns a suitable dtype with which the library can work. Warns if information loss could occur.""" <|body_0|> def _extract_comp...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ResizeLib: """Backends available for spatial resizing of data.""" def get_compatible_dtype(self, dtype: Union[np.dtype, type]) -> np.dtype: """Returns a suitable dtype with which the library can work. Warns if information loss could occur.""" if self is ResizeLib.CV2: lossless...

the_stack_v2_python_sparse

features/eolearn/features/utils.py

sentinel-hub/eo-learn

train

1,072

89feb48b98f9a079189b42e31dc7c6aafef83d16

[ "@functools.wraps(func)\ndef wrapper(self, *args, **kwargs):\n result = self.matrix_factory(func(self, *args, **kwargs))\n return result\nreturn wrapper", "@functools.wraps(func)\ndef wrapper(self, *args, **kwargs):\n result = func(self, *args, **kwargs)\n return Matrix(result)\nreturn wrapper" ]

MatrixDecorator

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MatrixDecorator: def use_matrix_factory_decorator(func): """Decorator to return the result using the matrix factory to get the most relevant matrix""" <|body_0|> def use_default_matrix_type_decorator(func): """Decorator to return the result using the default Matrix c...

stack_v2_sparse_classes_75kplus_train_006107

26,594

no_license

[ { "docstring": "Decorator to return the result using the matrix factory to get the most relevant matrix", "name": "use_matrix_factory_decorator", "signature": "def use_matrix_factory_decorator(func)" }, { "docstring": "Decorator to return the result using the default Matrix class", "name": "...

2

null

Implement the Python class `MatrixDecorator` described below. Class description: Implement the MatrixDecorator class. Method signatures and docstrings: - def use_matrix_factory_decorator(func): Decorator to return the result using the matrix factory to get the most relevant matrix - def use_default_matrix_type_decora...

339567a672e12ebc4847dfd97e9d1a2a7d45f655

<|skeleton|> class MatrixDecorator: def use_matrix_factory_decorator(func): """Decorator to return the result using the matrix factory to get the most relevant matrix""" <|body_0|> def use_default_matrix_type_decorator(func): """Decorator to return the result using the default Matrix c...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MatrixDecorator: def use_matrix_factory_decorator(func): """Decorator to return the result using the matrix factory to get the most relevant matrix""" @functools.wraps(func) def wrapper(self, *args, **kwargs): result = self.matrix_factory(func(self, *args, **kwargs)) ...

the_stack_v2_python_sparse

matrix/basic_matrix.py

KerimovEmil/HigherMathInvestigations

train

2

c98b79e9cc21e40b65e942fd8186f26939a54dd6

[ "with allure.step('点击“热门资讯”'):\n self.steps('../page/newsdynamic.yaml')\nreturn self", "with allure.step('点击“合作动态”'):\n self.steps('../page/newsdynamic.yaml')\nreturn self", "with allure.step('点击热门资讯下的第一条资讯'):\n self.steps('../page/newsdynamic.yaml')\nreturn", "with allure.step('点击“合作动态”的第一条，进入详情'):\...

项目动态页面

NewsDynamic

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006108

1,956

no_license

[ { "docstring": "点击“热门资讯”tab :return: self", "name": "click_news", "signature": "def click_news(self)" }, { "docstring": "点击“合作动态”tab :return: self", "name": "click_dynamic", "signature": "def click_dynamic(self)" }, { "docstring": "点击热门资讯下的第一条资讯，进入详情 :return:", "name": "click...

6

stack_v2_sparse_classes_30k_train_045271

Implement the Python class `NewsDynamic` described below. Class description: 项目动态页面 Method signatures and docstrings: - def click_news(self): 点击“热门资讯”tab :return: self - def click_dynamic(self): 点击“合作动态”tab :return: self - def click_first_news(self): 点击热门资讯下的第一条资讯，进入详情 :return: - def click_first_dynamic_title(self):...

7f1d9323ea6c7defa3714467e3c121a7ffc44c62

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NewsDynamic: """项目动态页面""" def click_news(self): """点击“热门资讯”tab :return: self""" with allure.step('点击“热门资讯”'): self.steps('../page/newsdynamic.yaml') return self def click_dynamic(self): """点击“合作动态”tab :return: self""" with allure.step('点击“合作动态”'):...

the_stack_v2_python_sparse

page/newsdynamic.py

gzsyr/testcase-III-pytest-allure

train

0

520977166ca9bd330b56bd9eb257e347fac4d8d2

[ "if not root:\n return 0\n\ndef find_diff(node: TreeNode, d: int):\n if node.left and node.right:\n in_right, rd = find_diff(node.right, d + 1)\n if in_right:\n return (in_right, rd)\n in_left, ld = find_diff(node.left, d + 1)\n if in_left:\n return (in_left +...

<|body_start_0|> if not root: return 0 def find_diff(node: TreeNode, d: int): if node.left and node.right: in_right, rd = find_diff(node.right, d + 1) if in_right: return (in_right, rd) in_left, ld = find_diff(n...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006109

4,062

no_license

[ { "docstring": "05/12/2019 22:01", "name": "countNodes", "signature": "def countNodes(self, root: TreeNode) -> int" }, { "docstring": "05/12/2019 22:09", "name": "countNodes", "signature": "def countNodes(self, root: TreeNode) -> int" }, { "docstring": "11/05/2021 15:04", "na...

4

stack_v2_sparse_classes_30k_train_037556

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def countNodes(self, root: TreeNode) -> int: 05/12/2019 22:01 - def countNodes(self, root: TreeNode) -> int: 05/12/2019 22:09 - def countNodes(self, root: Optional[TreeNode]) -> ...

1389a009a02e90e8700a7a00e0b7f797c129cdf4

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def countNodes(self, root: TreeNode) -> int: """05/12/2019 22:01""" if not root: return 0 def find_diff(node: TreeNode, d: int): if node.left and node.right: in_right, rd = find_diff(node.right, d + 1) if in_right: ...

the_stack_v2_python_sparse

leetcode/solved/222_Count_Complete_Tree_Nodes/solution.py

sungminoh/algorithms

train

0

b33f920e46cd5ece61fe3489255cb445552bac7a

[ "m200, z, r = [np.asanyarray(arr) for arr in [m200, z, r]]\nif r200 is None:\n r200 = calc_rdelta(m200, z, self.cosmology)\nx = self.r2x(m200, z, r, dist=dist)\nparams = get_params_battaglia(m200, z, self.cosmology)\nreturn params.P0 * utils.gnfw(x, xc=params.xc, alpha=params.alpha, beta=params.beta, gamma=param...

<|body_start_0|> m200, z, r = [np.asanyarray(arr) for arr in [m200, z, r]] if r200 is None: r200 = calc_rdelta(m200, z, self.cosmology) x = self.r2x(m200, z, r, dist=dist) params = get_params_battaglia(m200, z, self.cosmology) return params.P0 * utils.gnfw(x, xc=param...

Battaglia cluster profile evaluator.

ProfileBattaglia

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProfileBattaglia: """Battaglia cluster profile evaluator.""" def _raw(self, m200, z, r, dist='physical', r200=None): """Evaluate the dimensionless 3d pressure profiles for clusters with the the given masses m200 and redshifts z at the distances r from the center. m200, z and r must b...

stack_v2_sparse_classes_75kplus_train_006110

15,514

no_license

[ { "docstring": "Evaluate the dimensionless 3d pressure profiles for clusters with the the given masses m200 and redshifts z at the distances r from the center. m200, z and r must broadcast to the same shape.", "name": "_raw", "signature": "def _raw(self, m200, z, r, dist='physical', r200=None)" }, {...

2

stack_v2_sparse_classes_30k_test_001650

Implement the Python class `ProfileBattaglia` described below. Class description: Battaglia cluster profile evaluator. Method signatures and docstrings: - def _raw(self, m200, z, r, dist='physical', r200=None): Evaluate the dimensionless 3d pressure profiles for clusters with the the given masses m200 and redshifts z...

a7674289f4df4a3c526c07440f26edd1a7ab7cd0

<|skeleton|> class ProfileBattaglia: """Battaglia cluster profile evaluator.""" def _raw(self, m200, z, r, dist='physical', r200=None): """Evaluate the dimensionless 3d pressure profiles for clusters with the the given masses m200 and redshifts z at the distances r from the center. m200, z and r must b...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ProfileBattaglia: """Battaglia cluster profile evaluator.""" def _raw(self, m200, z, r, dist='physical', r200=None): """Evaluate the dimensionless 3d pressure profiles for clusters with the the given masses m200 and redshifts z at the distances r from the center. m200, z and r must broadcast to t...

the_stack_v2_python_sparse

clusters.py

amaurea/enlib

train

5

dccfc1f695ce8612817a0825bba250d730573e55

[ "self.cancelled = cancelled\nself.environment = environment\nself.failed = failed\nself.id = id\nself.name = name\nself.parent_source_id = parent_source_id\nself.parent_source_name = parent_source_name\nself.running = running\nself.successful = successful\nself.total = total\nself.trends = trends", "if dictionary...

<|body_start_0|> self.cancelled = cancelled self.environment = environment self.failed = failed self.id = id self.name = name self.parent_source_id = parent_source_id self.parent_source_name = parent_source_name self.running = running self.successf...

Implementation of the 'ProtectionTrend' model. Specifies details of a protected object with it's protection trends. Attributes: cancelled (long|int): Specifies number of cancelled runs across trends. environment (EnvironmentProtectionTrendEnum): Specifies environment. Supported environment types such as 'kView', 'kSQL'...

ProtectionTrend

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProtectionTrend: """Implementation of the 'ProtectionTrend' model. Specifies details of a protected object with it's protection trends. Attributes: cancelled (long|int): Specifies number of cancelled runs across trends. environment (EnvironmentProtectionTrendEnum): Specifies environment. Supporte...

stack_v2_sparse_classes_75kplus_train_006111

7,932

permissive

[ { "docstring": "Constructor for the ProtectionTrend class", "name": "__init__", "signature": "def __init__(self, cancelled=None, environment=None, failed=None, id=None, name=None, parent_source_id=None, parent_source_name=None, running=None, successful=None, total=None, trends=None)" }, { "docst...

2

stack_v2_sparse_classes_30k_train_043993

Implement the Python class `ProtectionTrend` described below. Class description: Implementation of the 'ProtectionTrend' model. Specifies details of a protected object with it's protection trends. Attributes: cancelled (long|int): Specifies number of cancelled runs across trends. environment (EnvironmentProtectionTren...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class ProtectionTrend: """Implementation of the 'ProtectionTrend' model. Specifies details of a protected object with it's protection trends. Attributes: cancelled (long|int): Specifies number of cancelled runs across trends. environment (EnvironmentProtectionTrendEnum): Specifies environment. Supporte...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ProtectionTrend: """Implementation of the 'ProtectionTrend' model. Specifies details of a protected object with it's protection trends. Attributes: cancelled (long|int): Specifies number of cancelled runs across trends. environment (EnvironmentProtectionTrendEnum): Specifies environment. Supported environment...

the_stack_v2_python_sparse

cohesity_management_sdk/models/protection_trend.py

cohesity/management-sdk-python

train

24

359196c2b6efeeb860b3008b36b28a6d871ed024

[ "body1 = {'reqId': get_uuid(), 'areaCode': 'atAJ-A', 'startTime': '2018101000000000', 'endTime': '2018102300000000'}\na = api_v1_analysis_channel_sec_waitsecond(body1)\ndict_data = json.loads(a)\nself.assertNotEqual(dict_data['results'][0]['num'], 0)", "body1 = {'reqId': get_uuid(), 'areaCode': 'atAJ-D', 'startTi...

<|body_start_0|> body1 = {'reqId': get_uuid(), 'areaCode': 'atAJ-A', 'startTime': '2018101000000000', 'endTime': '2018102300000000'} a = api_v1_analysis_channel_sec_waitsecond(body1) dict_data = json.loads(a) self.assertNotEqual(dict_data['results'][0]['num'], 0) <|end_body_0|> <|body_s...

2.4.9.4平均安检等待时间

TestApiAnalysisChannelSecWaitSecond

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006112

3,210

no_license

[ { "docstring": "验证正确传入参数时能返回平均安检等待时间数据", "name": "test_01", "signature": "def test_01(self)" }, { "docstring": "验证查询非有效时间内不能查询到平均安检等待时间数据", "name": "test_02", "signature": "def test_02(self)" }, { "docstring": "验证区域通道不存在时，不能查到平均安检等待时间数据", "name": "test_03", "signature": "...

6

stack_v2_sparse_classes_30k_train_003226

Implement the Python class `TestApiAnalysisChannelSecWaitSecond` described below. Class description: 2.4.9.4平均安检等待时间 Method signatures and docstrings: - def test_01(self): 验证正确传入参数时能返回平均安检等待时间数据 - def test_02(self): 验证查询非有效时间内不能查询到平均安检等待时间数据 - def test_03(self): 验证区域通道不存在时，不能查到平均安检等待时间数据 - def test_04(self): 验证reqId为...

aa0749f4a237ee76a61579dc5984635a7127a631

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestApiAnalysisChannelSecWaitSecond: """2.4.9.4平均安检等待时间""" def test_01(self): """验证正确传入参数时能返回平均安检等待时间数据""" body1 = {'reqId': get_uuid(), 'areaCode': 'atAJ-A', 'startTime': '2018101000000000', 'endTime': '2018102300000000'} a = api_v1_analysis_channel_sec_waitsecond(body1) ...

the_stack_v2_python_sparse

Airport/Auto_return/TestCase/test_data_platform_094.py

jingshiyue/zhongkeyuan_workspace

train

0

92227ccfcbc87adac81a17be87ebb6c12412b2b8

[ "iLengthPairs, iLengthMS, iHardwareType, iFormat, iCompression, iShortDelayCode, iLongDelayCode, iCodemapLength = struct.unpack('<2L6B', drof.read(14))\ncodemap = struct.unpack(str(iCodemapLength) + 'B', drof.read(iCodemapLength))\nif iFormat != 0:\n raise DROFileException('Unsupported DRO v2 format. Only 0 is s...

<|body_start_0|> iLengthPairs, iLengthMS, iHardwareType, iFormat, iCompression, iShortDelayCode, iLongDelayCode, iCodemapLength = struct.unpack('<2L6B', drof.read(14)) codemap = struct.unpack(str(iCodemapLength) + 'B', drof.read(iCodemapLength)) if iFormat != 0: raise DROFileExceptio...

DroFileIOv2

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006113

9,408

no_license

[ { "docstring": "@type file_name: str @type drof: File", "name": "read_data", "signature": "def read_data(self, file_name, drof)" }, { "docstring": "@type drof: File @type dro_song: DROSongV2", "name": "write_data", "signature": "def write_data(self, drof, dro_song)" } ]

2

stack_v2_sparse_classes_30k_test_002706

Implement the Python class `DroFileIOv2` described below. Class description: Implement the DroFileIOv2 class. Method signatures and docstrings: - def read_data(self, file_name, drof): @type file_name: str @type drof: File - def write_data(self, drof, dro_song): @type drof: File @type dro_song: DROSongV2

Implement the Python class `DroFileIOv2` described below. Class description: Implement the DroFileIOv2 class. Method signatures and docstrings: - def read_data(self, file_name, drof): @type file_name: str @type drof: File - def write_data(self, drof, dro_song): @type drof: File @type dro_song: DROSongV2 <|skeleton|>...

6fcf6f960b17a4da84ae4a86a589a5c935bb4993

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DroFileIOv2: def read_data(self, file_name, drof): """@type file_name: str @type drof: File""" iLengthPairs, iLengthMS, iHardwareType, iFormat, iCompression, iShortDelayCode, iLongDelayCode, iCodemapLength = struct.unpack('<2L6B', drof.read(14)) codemap = struct.unpack(str(iCodemapLeng...

the_stack_v2_python_sparse

src/dro_io.py

rofl0r/dro-trimmer

train

2

2918e1bc7e74f33e74b858a0c0518aa6e75abbfd

[ "if n == 1:\n return 1\nugly = [0] * n\nugly[0] = 1\nnext_ugly_2 = 2\nnext_ugly_3 = 3\nnext_ugly_5 = 5\ni2 = i3 = i5 = 0\nfor i in range(1, n):\n next_ugly = min(next_ugly_2, next_ugly_3, next_ugly_5)\n ugly[i] = next_ugly\n if next_ugly == next_ugly_2:\n i2 += 1\n next_ugly_2 = ugly[i2] *...

<|body_start_0|> if n == 1: return 1 ugly = [0] * n ugly[0] = 1 next_ugly_2 = 2 next_ugly_3 = 3 next_ugly_5 = 5 i2 = i3 = i5 = 0 for i in range(1, n): next_ugly = min(next_ugly_2, next_ugly_3, next_ugly_5) ugly[i] = next...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006114

3,254

no_license

[ { "docstring": ":type n: int :rtype: int", "name": "nthUglyNumber", "signature": "def nthUglyNumber(self, n)" }, { "docstring": ":type n: int :type primes: List[int] :rtype: int", "name": "nthSuperUglyNumber", "signature": "def nthSuperUglyNumber(self, n, primes)" } ]

2

stack_v2_sparse_classes_30k_train_018829

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

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

8731e2ccfbda9323ea5c8629599806cd1c37c3bf

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def nthUglyNumber(self, n): """:type n: int :rtype: int""" if n == 1: return 1 ugly = [0] * n ugly[0] = 1 next_ugly_2 = 2 next_ugly_3 = 3 next_ugly_5 = 5 i2 = i3 = i5 = 0 for i in range(1, n): next_ugly =...

the_stack_v2_python_sparse

problems/dynamicProgramming/UglyNumber.py

jonu4u/DataStructuresInPython

train

0

b5d1d94b766ed5b5721a5acc1ff18130d35d218a

[ "model = SRPN_Model()\nalist = []\nnr1 = 1\nr1 = R(RT.IN, nr1)\nalist.append(nr1)\nself.assertEqual(model.take_in(str(nr1)), [r1])\nop = '+'\nself.assertEqual(model.take_in(op), [R(RT.ER, Error(ERROR.ST_UNDRF))])", "model = SRPN_Model()\nalist = []\nnr1 = 10\nr1 = R(RT.IN, nr1)\nalist.append(nr1)\nself.assertEqua...

<|body_start_0|> model = SRPN_Model() alist = [] nr1 = 1 r1 = R(RT.IN, nr1) alist.append(nr1) self.assertEqual(model.take_in(str(nr1)), [r1]) op = '+' self.assertEqual(model.take_in(op), [R(RT.ER, Error(ERROR.ST_UNDRF))]) <|end_body_0|> <|body_start_1|> ...

Test_Fourth_Section

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006115

13,734

permissive

[ { "docstring": "1 +", "name": "test_4_1", "signature": "def test_4_1(self)" }, { "docstring": "10 5 -5 + /", "name": "test_4_2", "signature": "def test_4_2(self)" } ]

2

stack_v2_sparse_classes_30k_train_002501

Implement the Python class `Test_Fourth_Section` described below. Class description: Implement the Test_Fourth_Section class. Method signatures and docstrings: - def test_4_1(self): 1 + - def test_4_2(self): 10 5 -5 + /

Implement the Python class `Test_Fourth_Section` described below. Class description: Implement the Test_Fourth_Section class. Method signatures and docstrings: - def test_4_1(self): 1 + - def test_4_2(self): 10 5 -5 + / <|skeleton|> class Test_Fourth_Section: def test_4_1(self): """1 +""" <|body...

1ee89edbbb2dcb496b2648a5e5a8ad807239c7c5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Test_Fourth_Section: def test_4_1(self): """1 +""" model = SRPN_Model() alist = [] nr1 = 1 r1 = R(RT.IN, nr1) alist.append(nr1) self.assertEqual(model.take_in(str(nr1)), [r1]) op = '+' self.assertEqual(model.take_in(op), [R(RT.ER, Error(E...

the_stack_v2_python_sparse

test.py

cstml/UoB-reverse-polish-notation-calculator

train

0

159437dc3d490b4982953cd6dbeccee803bf2e60

[ "self.auth_before_sign = auth_before_sign\nself.social_security_number = social_security_number\nself.signature_method_unique_id = signature_method_unique_id\nself.additional_properties = additional_properties", "if dictionary is None:\n return None\nauth_before_sign = dictionary.get('authBeforeSign')\nsocial_...

Implementation of the 'Authentication' model. TODO: type model description here. Attributes: auth_before_sign (bool): If this is set to true, you have to include the social security number or SignatureMethod unique id for the signer social_security_number (string): The signers social security number signature_method_un...

Authentication

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Authentication: """Implementation of the 'Authentication' model. TODO: type model description here. Attributes: auth_before_sign (bool): If this is set to true, you have to include the social security number or SignatureMethod unique id for the signer social_security_number (string): The signers ...

stack_v2_sparse_classes_75kplus_train_006116

2,927

permissive

[ { "docstring": "Constructor for the Authentication class", "name": "__init__", "signature": "def __init__(self, auth_before_sign=None, social_security_number=None, signature_method_unique_id=None, additional_properties={})" }, { "docstring": "Creates an instance of this model from a dictionary A...

2

stack_v2_sparse_classes_30k_train_025910

Implement the Python class `Authentication` described below. Class description: Implementation of the 'Authentication' model. TODO: type model description here. Attributes: auth_before_sign (bool): If this is set to true, you have to include the social security number or SignatureMethod unique id for the signer social...

fa3918a6c54ea0eedb9146578645b7eb1755b642

<|skeleton|> class Authentication: """Implementation of the 'Authentication' model. TODO: type model description here. Attributes: auth_before_sign (bool): If this is set to true, you have to include the social security number or SignatureMethod unique id for the signer social_security_number (string): The signers ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Authentication: """Implementation of the 'Authentication' model. TODO: type model description here. Attributes: auth_before_sign (bool): If this is set to true, you have to include the social security number or SignatureMethod unique id for the signer social_security_number (string): The signers social securi...

the_stack_v2_python_sparse

idfy_rest_client/models/authentication.py

dealflowteam/Idfy

train

0

fbd1b5d939565c484d46a3d31600f17e87d12b91

[ "person1_instance = User.objects.get(username=person1).id\nperson2_instance = User.objects.get(username=person2).id\ntry:\n instance_1 = Friend.objects.get(sender=person1_instance, receiver=person2_instance)\n return (instance_1, 1)\nexcept Friend.DoesNotExist:\n instance_1 = None\nif instance_1 is None:\n...

<|body_start_0|> person1_instance = User.objects.get(username=person1).id person2_instance = User.objects.get(username=person2).id try: instance_1 = Friend.objects.get(sender=person1_instance, receiver=person2_instance) return (instance_1, 1) except Friend.DoesNot...

FriendManager

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FriendManager: def get_friend_status(self, person1, person2): """:param person1: :param person2: :return: The resulting row_instance if present in Table or None""" <|body_0|> def add_friend_request(self, sender, receiver): """This function will add the friends Reques...

stack_v2_sparse_classes_75kplus_train_006117

5,352

no_license

[ { "docstring": ":param person1: :param person2: :return: The resulting row_instance if present in Table or None", "name": "get_friend_status", "signature": "def get_friend_status(self, person1, person2)" }, { "docstring": "This function will add the friends Request for person1 and person2 i.e. i...

2

stack_v2_sparse_classes_30k_train_032304

Implement the Python class `FriendManager` described below. Class description: Implement the FriendManager class. Method signatures and docstrings: - def get_friend_status(self, person1, person2): :param person1: :param person2: :return: The resulting row_instance if present in Table or None - def add_friend_request(...

89e6fae406c33e2c2ef3884be5af68817d2f9413

<|skeleton|> class FriendManager: def get_friend_status(self, person1, person2): """:param person1: :param person2: :return: The resulting row_instance if present in Table or None""" <|body_0|> def add_friend_request(self, sender, receiver): """This function will add the friends Reques...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FriendManager: def get_friend_status(self, person1, person2): """:param person1: :param person2: :return: The resulting row_instance if present in Table or None""" person1_instance = User.objects.get(username=person1).id person2_instance = User.objects.get(username=person2).id ...

the_stack_v2_python_sparse

chitchat/models.py

pranjalpranjal/UNO-Game

train

0

eda8de8ccada37bedd3845bd948fc30cfa7d0ad1

[ "cube1 = Cube('red', 6)\ncube2 = Cube('blue', 5)\nstacked_list = [cube1, cube2]\nself.assertEqual(calc_height(stacked_list), 'The maximum tower height is 11')", "cube1 = Cube('red', 5)\ncube2 = Cube('red', 5)\ncube_list = [cube1, cube2]\nwith self.assertRaises(ValueError):\n stack_cubes(cube_list)", "cube1 =...

UnitTest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006118

1,393

no_license

[ { "docstring": "test_calc_height: Testing calculate_height function", "name": "test_calc_height", "signature": "def test_calc_height(self)" }, { "docstring": "test_failure: Make sure a ValueError is raised if you cannot stack the cubes", "name": "test_failure", "signature": "def test_fai...

3

stack_v2_sparse_classes_30k_train_014355

Implement the Python class `UnitTest` described below. Class description: UnitTest Method signatures and docstrings: - def test_calc_height(self): test_calc_height: Testing calculate_height function - def test_failure(self): test_failure: Make sure a ValueError is raised if you cannot stack the cubes - def test_wides...

78f8f8d575e69da8d0c48929a562b0e9f64ab68d

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class UnitTest: """UnitTest""" def test_calc_height(self): """test_calc_height: Testing calculate_height function""" cube1 = Cube('red', 6) cube2 = Cube('blue', 5) stacked_list = [cube1, cube2] self.assertEqual(calc_height(stacked_list), 'The maximum tower height is 11')...

the_stack_v2_python_sparse

task3/unit_test.py

jamesl33/210CT-Course-Work

train

0

4ab3f5b4fda4f3b314aa465de6117a17ed70c212

[ "if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn TelecomExpenseManagementPartner()", "from .entity import Entity\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any], None]] = {'appAuthorized': lambda n: setattr(self, 'app_authorized', n.get_bool_value()), 'displayName': lam...

<|body_start_0|> if not parse_node: raise TypeError('parse_node cannot be null.') return TelecomExpenseManagementPartner() <|end_body_0|> <|body_start_1|> from .entity import Entity from .entity import Entity fields: Dict[str, Callable[[Any], None]] = {'appAuthorized...

telecomExpenseManagementPartner resources represent the metadata and status of a given TEM service. Once your organization has onboarded with a partner, the partner can be enabled or disabled to switch TEM functionality on or off.

TelecomExpenseManagementPartner

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TelecomExpenseManagementPartner: """telecomExpenseManagementPartner resources represent the metadata and status of a given TEM service. Once your organization has onboarded with a partner, the partner can be enabled or disabled to switch TEM functionality on or off.""" def create_from_discri...

stack_v2_sparse_classes_75kplus_train_006119

3,459

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: TelecomExpenseManagementPartner", "name": "create_from_discriminator_value", "signature": "def create_from_d...

3

null

Implement the Python class `TelecomExpenseManagementPartner` described below. Class description: telecomExpenseManagementPartner resources represent the metadata and status of a given TEM service. Once your organization has onboarded with a partner, the partner can be enabled or disabled to switch TEM functionality on...

27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949

<|skeleton|> class TelecomExpenseManagementPartner: """telecomExpenseManagementPartner resources represent the metadata and status of a given TEM service. Once your organization has onboarded with a partner, the partner can be enabled or disabled to switch TEM functionality on or off.""" def create_from_discri...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TelecomExpenseManagementPartner: """telecomExpenseManagementPartner resources represent the metadata and status of a given TEM service. Once your organization has onboarded with a partner, the partner can be enabled or disabled to switch TEM functionality on or off.""" def create_from_discriminator_value...

the_stack_v2_python_sparse

msgraph/generated/models/telecom_expense_management_partner.py

microsoftgraph/msgraph-sdk-python

train

135

9efb07e8c6460fa338f4b4901896d80f3adf9afa

[ "if isinstance(size, (str, unicode)):\n size = int(size)\nreturn numpy.ones((size, 1)) * numpy.array([1.0, 0.0])", "if isinstance(start_idx, (str, unicode)):\n start_idx = int(start_idx)\nif isinstance(end_idx, (str, unicode)):\n end_idx = int(end_idx)\nsize = end_idx - start_idx\nresult = numpy.transpos...

Framework methods regarding RegionMapping DataType.

RegionMappingFramework

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RegionMappingFramework: """Framework methods regarding RegionMapping DataType.""" def get_alpha_array(size): """Compute alpha weights. When displaying region-based results, we need to compute color for each surface vertex based on a gradient of the neighbor region(s). Currently only ...

stack_v2_sparse_classes_75kplus_train_006120

25,280

no_license

[ { "docstring": "Compute alpha weights. When displaying region-based results, we need to compute color for each surface vertex based on a gradient of the neighbor region(s). Currently only one vertex is used for determining color (the one indicated by the RegionMapping). :return: NumPy array with [[1, 0], [1, 0]...

3

stack_v2_sparse_classes_30k_train_015450

Implement the Python class `RegionMappingFramework` described below. Class description: Framework methods regarding RegionMapping DataType. Method signatures and docstrings: - def get_alpha_array(size): Compute alpha weights. When displaying region-based results, we need to compute color for each surface vertex based...

dd4beb028719abaa70c639f64c97ba23bd4a1f3a

<|skeleton|> class RegionMappingFramework: """Framework methods regarding RegionMapping DataType.""" def get_alpha_array(size): """Compute alpha weights. When displaying region-based results, we need to compute color for each surface vertex based on a gradient of the neighbor region(s). Currently only ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RegionMappingFramework: """Framework methods regarding RegionMapping DataType.""" def get_alpha_array(size): """Compute alpha weights. When displaying region-based results, we need to compute color for each surface vertex based on a gradient of the neighbor region(s). Currently only one vertex is...

the_stack_v2_python_sparse

tvb/datatypes/surfaces_framework.py

HuifangWang/the-virtual-brain-website

train

0

a81bad7345a4aa2679aa41d099d2ec7c53a0c3f5

[ "if root is None:\n return []\nq = []\nres = []\nq.append(root)\nwhile len(q) > 0:\n for _ in range(len(q)):\n node = q.pop(0)\n for next_node in [node.left, node.right]:\n if next_node is not None:\n q.append(next_node)\n res.append(node.val)\nreturn res", "if roo...

<|body_start_0|> if root is None: return [] q = [] res = [] q.append(root) while len(q) > 0: for _ in range(len(q)): node = q.pop(0) for next_node in [node.left, node.right]: if next_node is not None: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006121

1,365

no_license

[ { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "rightSideView2", "signature": "def rightSideView2(self, root)" }, { "docstring": ":type root: TreeNode :rtype: List[int]", "name": "rightSideView", "signature": "def rightSideView(self, root)" } ]

2

stack_v2_sparse_classes_30k_train_025259

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rightSideView2(self, root): :type root: TreeNode :rtype: List[int] - def rightSideView(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 rightSideView2(self, root): :type root: TreeNode :rtype: List[int] - def rightSideView(self, root): :type root: TreeNode :rtype: List[int] <|skeleton|> class Solution: ...

70cb1ee0cdc1ddec93861aef56610f7def1472e1

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def rightSideView2(self, root): """:type root: TreeNode :rtype: List[int]""" if root is None: return [] q = [] res = [] q.append(root) while len(q) > 0: for _ in range(len(q)): node = q.pop(0) for...

the_stack_v2_python_sparse

trees/bfs/right_side_view.py

medesiv/ds_algo

train

0

d316d79d360196d13ed68a0d32ae64f209bf5f0d

[ "if maxNumbers > 0:\n self.current = linkedlist(0)\n self.head = linkedlist(-1)\n self.head.next = self.current\n for i in range(1, maxNumbers):\n self.current.next = linkedlist(i)\n self.current = self.current.next\nself.available = {num for num in range(maxNumbers)}", "if self.head.nex...

<|body_start_0|> if maxNumbers > 0: self.current = linkedlist(0) self.head = linkedlist(-1) self.head.next = self.current for i in range(1, maxNumbers): self.current.next = linkedlist(i) self.current = self.current.next self...

PhoneDirectory

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PhoneDirectory: def __init__(self, maxNumbers: int): """Initialize your data structure here @param maxNumbers - The maximum numbers that can be stored in the phone directory.""" <|body_0|> def get(self): """Provide a number which is not assigned to anyone. @return - ...

stack_v2_sparse_classes_75kplus_train_006122

2,076

permissive

[ { "docstring": "Initialize your data structure here @param maxNumbers - The maximum numbers that can be stored in the phone directory.", "name": "__init__", "signature": "def __init__(self, maxNumbers: int)" }, { "docstring": "Provide a number which is not assigned to anyone. @return - Return an...

4

stack_v2_sparse_classes_30k_train_036267

Implement the Python class `PhoneDirectory` described below. Class description: Implement the PhoneDirectory class. Method signatures and docstrings: - def __init__(self, maxNumbers: int): Initialize your data structure here @param maxNumbers - The maximum numbers that can be stored in the phone directory. - def get(...

3fd33092f53de25e8014c05af4ac3e6754f54e23

<|skeleton|> class PhoneDirectory: def __init__(self, maxNumbers: int): """Initialize your data structure here @param maxNumbers - The maximum numbers that can be stored in the phone directory.""" <|body_0|> def get(self): """Provide a number which is not assigned to anyone. @return - ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PhoneDirectory: def __init__(self, maxNumbers: int): """Initialize your data structure here @param maxNumbers - The maximum numbers that can be stored in the phone directory.""" if maxNumbers > 0: self.current = linkedlist(0) self.head = linkedlist(-1) self....

the_stack_v2_python_sparse

Python3/379.design-phone-directory.py

610yilingliu/leetcode

train

2

5a64418b307c241aac4824f46f6d0041f1222aa9

[ "QSearchTreeWidget.__init__(self, parent)\nself.header().hide()\nself.setRootIsDecorated(False)\nself.delegate = QAliasParameterTreeWidgetItemDelegate(self, self)\nself.setItemDelegate(self.delegate)\nself.aliasNames = []\nself.itemDoubleClicked.connect(self.changeAlias)", "self.clear()\nif not pipeline:\n ret...

<|body_start_0|> QSearchTreeWidget.__init__(self, parent) self.header().hide() self.setRootIsDecorated(False) self.delegate = QAliasParameterTreeWidgetItemDelegate(self, self) self.setItemDelegate(self.delegate) self.aliasNames = [] self.itemDoubleClicked.connect(...

QAliasParameterTreeWidget is a subclass of QSearchTreeWidget to display all Vistrails Module

QAliasParameterTreeWidget

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class QAliasParameterTreeWidget: """QAliasParameterTreeWidget is a subclass of QSearchTreeWidget to display all Vistrails Module""" def __init__(self, parent=None): """QAliasParameterTreeWidget(parent: QWidget) -> QParameterTreeWidget Set up size policy and header""" <|body_0|> ...

stack_v2_sparse_classes_75kplus_train_006123

18,014

permissive

[ { "docstring": "QAliasParameterTreeWidget(parent: QWidget) -> QParameterTreeWidget Set up size policy and header", "name": "__init__", "signature": "def __init__(self, parent=None)" }, { "docstring": "updateFromPipeline(pipeline: Pipeline) -> None Read the list of aliases and parameters from the...

3

stack_v2_sparse_classes_30k_train_017849

Implement the Python class `QAliasParameterTreeWidget` described below. Class description: QAliasParameterTreeWidget is a subclass of QSearchTreeWidget to display all Vistrails Module Method signatures and docstrings: - def __init__(self, parent=None): QAliasParameterTreeWidget(parent: QWidget) -> QParameterTreeWidge...

23ef56ec24b85c82416e1437a08381635328abe5

<|skeleton|> class QAliasParameterTreeWidget: """QAliasParameterTreeWidget is a subclass of QSearchTreeWidget to display all Vistrails Module""" def __init__(self, parent=None): """QAliasParameterTreeWidget(parent: QWidget) -> QParameterTreeWidget Set up size policy and header""" <|body_0|> ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class QAliasParameterTreeWidget: """QAliasParameterTreeWidget is a subclass of QSearchTreeWidget to display all Vistrails Module""" def __init__(self, parent=None): """QAliasParameterTreeWidget(parent: QWidget) -> QParameterTreeWidget Set up size policy and header""" QSearchTreeWidget.__init__(...

the_stack_v2_python_sparse

vistrails_current/vistrails/gui/mashups/alias_parameter_view.py

lumig242/VisTrailsRecommendation

train

3

8f2a0d2c2b781211f13f6f848aab6fd0e9ae5529

[ "super(Inverter, self).__init__()\nself.add_param('inverter_efficiency', 1.0, desc='power out / power in')\nself.add_param('output_voltage', 120.0, desc='amplitude of AC output voltage', units='V')\nself.add_param('output_current', 2.0, desc='amplitude of AC output current', units='A')\nself.add_param('output_frequ...

<|body_start_0|> super(Inverter, self).__init__() self.add_param('inverter_efficiency', 1.0, desc='power out / power in') self.add_param('output_voltage', 120.0, desc='amplitude of AC output voltage', units='V') self.add_param('output_current', 2.0, desc='amplitude of AC output current',...

The `Inverter` class represents a BLDC inverter in an OpenMDAO model The `Inverter` class models the efficiency loss across a typical BLDC inverter following the example from [1]_. Params ------ inverter_efficiency : float power out / power in (W) output_voltage : float amplitude of AC output voltage (A) output_current...

Inverter

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Inverter: """The `Inverter` class represents a BLDC inverter in an OpenMDAO model The `Inverter` class models the efficiency loss across a typical BLDC inverter following the example from [1]_. Params ------ inverter_efficiency : float power out / power in (W) output_voltage : float amplitude of ...

stack_v2_sparse_classes_75kplus_train_006124

3,116

permissive

[ { "docstring": "Initializes a `Inverter` object Sets up the given Params/Outputs of the OpenMDAO `Inverter` component, initializes their shape, and sets them to their default values.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Runs the `Battery` component and sets ...

2

stack_v2_sparse_classes_30k_train_044701

Implement the Python class `Inverter` described below. Class description: The `Inverter` class represents a BLDC inverter in an OpenMDAO model The `Inverter` class models the efficiency loss across a typical BLDC inverter following the example from [1]_. Params ------ inverter_efficiency : float power out / power in (...

ac6261ffc2926cc4041185563044de3dac0101e6

<|skeleton|> class Inverter: """The `Inverter` class represents a BLDC inverter in an OpenMDAO model The `Inverter` class models the efficiency loss across a typical BLDC inverter following the example from [1]_. Params ------ inverter_efficiency : float power out / power in (W) output_voltage : float amplitude of ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Inverter: """The `Inverter` class represents a BLDC inverter in an OpenMDAO model The `Inverter` class models the efficiency loss across a typical BLDC inverter following the example from [1]_. Params ------ inverter_efficiency : float power out / power in (W) output_voltage : float amplitude of AC output vol...

the_stack_v2_python_sparse

src/hyperloop/Python/pod/drivetrain/inverter.py

HamzaRabi/MagnePlane

train

0

9bbb4f37cf57c773eaf13df4c7cb538ad2704a86

[ "import Queue\nself.queue = Queue.Queue(size)\nself.MovingSum = 0", "if self.queue.full():\n self.MovingSum += val - self.queue.get()\nelse:\n self.MovingSum += val\nself.queue.put(val)\nreturn float(self.MovingSum) / self.queue.qsize()" ]

MovingAverage

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006125

705

no_license

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

2

null

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: ...

921abbb1b0add8f92fb2d4e034950d8a31b9c90c

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""" import Queue self.queue = Queue.Queue(size) self.MovingSum = 0 def next(self, val): """:type val: int :rtype: float""" if self.queue.full(): self...

the_stack_v2_python_sparse

346. Moving Average from Data Stream.py

jlyang1990/LeetCode

train

5

31b99c87de413856878828458a43a06efd07b4df

[ "super(FreshdeskTicketResourceTestCase, self).setUp()\nmixer.cycle(5).blend(FreshdeskContact, email=random_dbca_email)\nmixer.cycle(5).blend(FreshdeskTicket, subject=mixer.RANDOM, description_text=mixer.RANDOM, type='Test', freshdesk_requester=mixer.SELECT, it_system=mixer.SELECT, custom_fields={'support_category':...

<|body_start_0|> super(FreshdeskTicketResourceTestCase, self).setUp() mixer.cycle(5).blend(FreshdeskContact, email=random_dbca_email) mixer.cycle(5).blend(FreshdeskTicket, subject=mixer.RANDOM, description_text=mixer.RANDOM, type='Test', freshdesk_requester=mixer.SELECT, it_system=mixer.SELECT, ...

FreshdeskTicketResourceTestCase

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006126

2,797

permissive

[ { "docstring": "Generate from FreshdeskTicket objects.", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Test the FreshdeskTicketResource list response", "name": "test_list", "signature": "def test_list(self)" }, { "docstring": "Test the FreshdeskTicketResource...

4

stack_v2_sparse_classes_30k_train_011140

Implement the Python class `FreshdeskTicketResourceTestCase` described below. Class description: Implement the FreshdeskTicketResourceTestCase class. Method signatures and docstrings: - def setUp(self): Generate from FreshdeskTicket objects. - def test_list(self): Test the FreshdeskTicketResource list response - def ...

09a789402eafe0a477fc07689528029430d4f98c

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FreshdeskTicketResourceTestCase: def setUp(self): """Generate from FreshdeskTicket objects.""" super(FreshdeskTicketResourceTestCase, self).setUp() mixer.cycle(5).blend(FreshdeskContact, email=random_dbca_email) mixer.cycle(5).blend(FreshdeskTicket, subject=mixer.RANDOM, descri...

the_stack_v2_python_sparse

tracking/disable_test_api.py

rockychen-dpaw/it-assets

train

0

c11ab62590f94b32b47721e346b2902a0af4ed16

[ "front_data = FAQClassSerializers(data=request.data)\nif front_data.is_valid():\n try:\n with transaction.atomic():\n front_data.save()\n except Exception as err:\n logger.error(err)\n return JsonResponse(json_response(0, error_code=421, msg='数据库操作失败'))\n else:\n retu...

<|body_start_0|> front_data = FAQClassSerializers(data=request.data) if front_data.is_valid(): try: with transaction.atomic(): front_data.save() except Exception as err: logger.error(err) return JsonResponse(json...

处理 api/v1/ops/faq/classes/ 请求

FAQClass

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006127

13,131

no_license

[ { "docstring": "处理POST请求，添加分类 :param request: :param version: API版本号", "name": "post", "signature": "def post(self, request, version)" }, { "docstring": "处理GET请求, 返回全部分类信息 :param version: API版本号 :param request:", "name": "get", "signature": "def get(self, request, version)" }, { ...

3

stack_v2_sparse_classes_30k_train_036431

Implement the Python class `FAQClass` described below. Class description: 处理 api/v1/ops/faq/classes/ 请求 Method signatures and docstrings: - def post(self, request, version): 处理POST请求，添加分类 :param request: :param version: API版本号 - def get(self, request, version): 处理GET请求, 返回全部分类信息 :param version: API版本号 :param request:...

427c26a0d851e59c392c6c67c82eacec84b6d6f6

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FAQClass: """处理 api/v1/ops/faq/classes/ 请求""" def post(self, request, version): """处理POST请求，添加分类 :param request: :param version: API版本号""" front_data = FAQClassSerializers(data=request.data) if front_data.is_valid(): try: with transaction.atomic(): ...

the_stack_v2_python_sparse

yunwei/ops_server/faq/views.py

wll1014/KKB

train

1

301b5daca88d8bd3b005a2365340b53bbab16af1

[ "req = api.payload\ncurrent_user = flask_praetorian.current_user()\nuser = User.query.filter_by(id=id).first()\nif user is None:\n return ({'message': 'User does not exist'}, 404)\nif user in current_user.following:\n return ({'message': 'Already following User'}, 403)\ntry:\n current_user.following.append...

<|body_start_0|> req = api.payload current_user = flask_praetorian.current_user() user = User.query.filter_by(id=id).first() if user is None: return ({'message': 'User does not exist'}, 404) if user in current_user.following: return ({'message': 'Already f...

follow

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006128

13,377

no_license

[ { "docstring": "Follow a User by id", "name": "post", "signature": "def post(self, id)" }, { "docstring": "Unfollow a User by id", "name": "delete", "signature": "def delete(self, id)" } ]

2

stack_v2_sparse_classes_30k_train_037073

Implement the Python class `follow` described below. Class description: Implement the follow class. Method signatures and docstrings: - def post(self, id): Follow a User by id - def delete(self, id): Unfollow a User by id

Implement the Python class `follow` described below. Class description: Implement the follow class. Method signatures and docstrings: - def post(self, id): Follow a User by id - def delete(self, id): Unfollow a User by id <|skeleton|> class follow: def post(self, id): """Follow a User by id""" <...

ae78fff9888b0f68d9403d7f65cba086dabb3802

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class follow: def post(self, id): """Follow a User by id""" req = api.payload current_user = flask_praetorian.current_user() user = User.query.filter_by(id=id).first() if user is None: return ({'message': 'User does not exist'}, 404) if user in current_use...

the_stack_v2_python_sparse

api/v1/users.py

mythril-io/flask-api

train

0

dc81ee959dd6129cba143ed46b138e3f0472fdd4

[ "friendly_name = actions.app.name()\nexecutable = actions.app.executable().split(os.path.sep)[-1]\napp_name = create_name(friendly_name.replace('.exe', ''))\nif app.platform == 'mac':\n result = 'mod.apps.{} = \"\"\"\\nos: {}\\nand app.bundle: {}\\n\"\"\"'.format(app_name, app.platform, actions.app.bundle())\nel...

<|body_start_0|> friendly_name = actions.app.name() executable = actions.app.executable().split(os.path.sep)[-1] app_name = create_name(friendly_name.replace('.exe', '')) if app.platform == 'mac': result = 'mod.apps.{} = """\nos: {}\nand app.bundle: {}\n"""'.format(app_name, ...

Actions

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Actions: def talon_add_context_clipboard_python(): """Adds os-specific context info to the clipboard for the focused app for .py files. Assumes you've a Module named mod declared.""" <|body_0|> def talon_add_context_clipboard(): """Adds os-specific context info to th...

stack_v2_sparse_classes_75kplus_train_006129

2,957

permissive

[ { "docstring": "Adds os-specific context info to the clipboard for the focused app for .py files. Assumes you've a Module named mod declared.", "name": "talon_add_context_clipboard_python", "signature": "def talon_add_context_clipboard_python()" }, { "docstring": "Adds os-specific context info t...

3

stack_v2_sparse_classes_30k_train_040369

Implement the Python class `Actions` described below. Class description: Implement the Actions class. Method signatures and docstrings: - def talon_add_context_clipboard_python(): Adds os-specific context info to the clipboard for the focused app for .py files. Assumes you've a Module named mod declared. - def talon_...

c4cf4659ffba1abf76e99f99ec376cca04bb6291

<|skeleton|> class Actions: def talon_add_context_clipboard_python(): """Adds os-specific context info to the clipboard for the focused app for .py files. Assumes you've a Module named mod declared.""" <|body_0|> def talon_add_context_clipboard(): """Adds os-specific context info to th...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Actions: def talon_add_context_clipboard_python(): """Adds os-specific context info to the clipboard for the focused app for .py files. Assumes you've a Module named mod declared.""" friendly_name = actions.app.name() executable = actions.app.executable().split(os.path.sep)[-1] ...

the_stack_v2_python_sparse

code/talon_helpers.py

ma-anwar/knausj_talon

train

0

a6f71bfff68ba6a7cf63a1e41bea6f54f481bf18

[ "self.dict = {}\nself.list = []\nself.isListValid = True", "if val not in self.dict:\n self.dict[val] = True\n self.list.append(val)\n return True\nelse:\n return False", "if val not in self.dict:\n return False\nelse:\n del self.dict[val]\n self.isListValid = False\n return True", "im...

<|body_start_0|> self.dict = {} self.list = [] self.isListValid = True <|end_body_0|> <|body_start_1|> if val not in self.dict: self.dict[val] = True self.list.append(val) return True else: return False <|end_body_1|> <|body_start...

RandomizedSet

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006130

1,477

no_license

[ { "docstring": "Initialize your data structure here.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Inserts a value to the set. Returns true if the set did not already contain the specified element. :type val: int :rtype: bool", "name": "insert", "signature": ...

4

stack_v2_sparse_classes_30k_train_015436

Implement the Python class `RandomizedSet` described below. Class description: Implement the RandomizedSet class. Method signatures and docstrings: - def __init__(self): Initialize your data structure here. - def insert(self, val): Inserts a value to the set. Returns true if the set did not already contain the specif...

bb074b3778c8331fb91b41866c043a6c67227727

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RandomizedSet: def __init__(self): """Initialize your data structure here.""" self.dict = {} self.list = [] self.isListValid = True def insert(self, val): """Inserts a value to the set. Returns true if the set did not already contain the specified element. :type va...

the_stack_v2_python_sparse

380-Insert-Delete-GetRandom-O(1)/solution.py

Jing233/LeetCode_Python

train

0

d4cc121dc4da2ca81e100bf2acb364ed55606185

[ "queryset = Like.objects.all()\nif self.action == 'destroy':\n return queryset.filter(id=self.kwargs['pk'])\nreturn queryset", "if self.action in ['destroy']:\n permissions = [IsAuthenticated, IsObjectOwner]\nelse:\n permissions = [IsAuthenticated]\nreturn [p() for p in permissions]", "queryset = Like....

LikeViewSet Handle create, delete, list of photos.

LikeViewSet

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006131

2,329

permissive

[ { "docstring": "Restrict list to public-only.", "name": "get_queryset", "signature": "def get_queryset(self)" }, { "docstring": "Assign permissions based on action.", "name": "get_permissions", "signature": "def get_permissions(self)" }, { "docstring": "Show all the likes of a ph...

5

stack_v2_sparse_classes_30k_train_044386

Implement the Python class `LikeViewSet` described below. Class description: LikeViewSet Handle create, delete, list of photos. Method signatures and docstrings: - def get_queryset(self): Restrict list to public-only. - def get_permissions(self): Assign permissions based on action. - def list(self, request, photo_pk=...

83b79ed62e21c654d0945decaaf6571e19c8c12a

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LikeViewSet: """LikeViewSet Handle create, delete, list of photos.""" def get_queryset(self): """Restrict list to public-only.""" queryset = Like.objects.all() if self.action == 'destroy': return queryset.filter(id=self.kwargs['pk']) return queryset def ge...

the_stack_v2_python_sparse

ig_clone_api/photos/views/likes.py

whosgriffith/ig-clone-api

train

0

de32ded185ba5e7389073366145dfd0f584717f7

[ "self.mask = mask\nself.seed_mask = seed_mask\nself._shift_mask_scale = shift_mask_scale\nself.shift_mask = None\nif shift_mask is not None:\n self.shift_mask = np.max(np.abs(shift_mask), axis=0) >= shift_mask_threshold\n assert shift_mask_fov is not None\n self._shift_mask_fov_pre_offset = shift_mask_fov....

<|body_start_0|> self.mask = mask self.seed_mask = seed_mask self._shift_mask_scale = shift_mask_scale self.shift_mask = None if shift_mask is not None: self.shift_mask = np.max(np.abs(shift_mask), axis=0) >= shift_mask_threshold assert shift_mask_fov is n...

Restricts the movement of the FFN FoV.

MovementRestrictor

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MovementRestrictor: """Restricts the movement of the FFN FoV.""" def __init__(self, mask=None, shift_mask=None, shift_mask_fov=None, shift_mask_threshold=4, shift_mask_scale=1, seed_mask=None): """Initializes the restrictor. Args: mask: 3d ndarray-like of shape (z, y, x); positive va...

stack_v2_sparse_classes_75kplus_train_006132

11,092

permissive

[ { "docstring": "Initializes the restrictor. Args: mask: 3d ndarray-like of shape (z, y, x); positive values indicate voxels that are not going to be segmented shift_mask: 4d ndarray-like of shape (2, z, y, x) representing a 2d shift vector field shift_mask_fov: bounding_box.BoundingBox around large shifts in wh...

3

null

Implement the Python class `MovementRestrictor` described below. Class description: Restricts the movement of the FFN FoV. Method signatures and docstrings: - def __init__(self, mask=None, shift_mask=None, shift_mask_fov=None, shift_mask_threshold=4, shift_mask_scale=1, seed_mask=None): Initializes the restrictor. Ar...

a37f0695c5a3d2c28bf612faefd54ad6bed845ea

<|skeleton|> class MovementRestrictor: """Restricts the movement of the FFN FoV.""" def __init__(self, mask=None, shift_mask=None, shift_mask_fov=None, shift_mask_threshold=4, shift_mask_scale=1, seed_mask=None): """Initializes the restrictor. Args: mask: 3d ndarray-like of shape (z, y, x); positive va...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MovementRestrictor: """Restricts the movement of the FFN FoV.""" def __init__(self, mask=None, shift_mask=None, shift_mask_fov=None, shift_mask_threshold=4, shift_mask_scale=1, seed_mask=None): """Initializes the restrictor. Args: mask: 3d ndarray-like of shape (z, y, x); positive values indicate...

the_stack_v2_python_sparse

ffn/inference/movement.py

google/ffn

train

295

232f0cc232bf0a59c7b6e8fad5bad360d9f29daa

[ "if data is None:\n self.n = int(n)\n self.p = float(p)\n if n <= 0:\n raise ValueError('n must be a positive value')\n self.n = int(n)\n if p <= 0 or p >= 1:\n raise ValueError('p must be greater than 0 and less than 1')\nelse:\n if not isinstance(data, list):\n raise TypeErr...

<|body_start_0|> if data is None: self.n = int(n) self.p = float(p) if n <= 0: raise ValueError('n must be a positive value') self.n = int(n) if p <= 0 or p >= 1: raise ValueError('p must be greater than 0 and less than ...

the binomial distribution class

Binomial

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006133

2,834

no_license

[ { "docstring": "constructor for binomial distribution n trials, p prob for success", "name": "__init__", "signature": "def __init__(self, data=None, n=1.0, p=0.5)" }, { "docstring": "calculates pmf for k successes", "name": "pmf", "signature": "def pmf(self, k)" }, { "docstring":...

4

stack_v2_sparse_classes_30k_train_012731

Implement the Python class `Binomial` described below. Class description: the binomial distribution class Method signatures and docstrings: - def __init__(self, data=None, n=1.0, p=0.5): constructor for binomial distribution n trials, p prob for success - def pmf(self, k): calculates pmf for k successes - def cdf(sel...

d86b0e0cae2dd07c761f84a493abc895007873ee

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Binomial: """the binomial distribution class""" def __init__(self, data=None, n=1.0, p=0.5): """constructor for binomial distribution n trials, p prob for success""" if data is None: self.n = int(n) self.p = float(p) if n <= 0: raise Val...

the_stack_v2_python_sparse

math/0x03-probability/binomial.py

mag389/holbertonschool-machine_learning

train

2

035cbc7f473045958567f8ba0ab9d3055302d069

[ "ans = 0\nn = len(nums)\nif n == 1:\n return 0\nnn = nums\nfor _ in range(n):\n res = 0\n for i in range(n):\n res += nn[i] * i\n ans = max(ans, res)\n nn = nn[1:] + nn[:1]\nprint(ans)\nreturn ans", "s = sum(nums)\nn = len(nums)\nf = [0] * n\nfor i in range(n):\n f[0] += i * nums[i]\nans ...

<|body_start_0|> ans = 0 n = len(nums) if n == 1: return 0 nn = nums for _ in range(n): res = 0 for i in range(n): res += nn[i] * i ans = max(ans, res) nn = nn[1:] + nn[:1] print(ans) retu...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006134

2,357

no_license

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

2

stack_v2_sparse_classes_30k_train_053217

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

2d5fa4cd696d5035ea8859befeadc5cc436959c9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def maxRotateFunction_TLE(self, nums): """:type nums: List[int] :rtype: int""" ans = 0 n = len(nums) if n == 1: return 0 nn = nums for _ in range(n): res = 0 for i in range(n): res += nn[i] * i ...

the_stack_v2_python_sparse

SourceCode/Python/Problem/00396.Rotate Function.py

roger6blog/LeetCode

train

0

42d2f29674fc6dc17a50df35f73393da2e3e96fc

[ "self.__person_repository = person_repository\nself.__unit_of_work = unit_of_work\nself.__event_bus = event_bus", "person_id = PersonId(create_person_command.id)\nname = Name(create_person_command.name)\nlast_name = LastName(create_person_command.last_name)\nsecond_last_name = SecondLastName(create_person_command...

Person Creator

PersonCreator

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PersonCreator: """Person Creator""" def __init__(self, person_repository: PersonRepository, unit_of_work: UnitOfWork, event_bus: EventBus): """Person Creator @param person_repository: @type person_repository: @param unit_of_work: @type unit_of_work:""" <|body_0|> def __c...

stack_v2_sparse_classes_75kplus_train_006135

2,620

permissive

[ { "docstring": "Person Creator @param person_repository: @type person_repository: @param unit_of_work: @type unit_of_work:", "name": "__init__", "signature": "def __init__(self, person_repository: PersonRepository, unit_of_work: UnitOfWork, event_bus: EventBus)" }, { "docstring": "Create Person ...

2

stack_v2_sparse_classes_30k_train_004348

Implement the Python class `PersonCreator` described below. Class description: Person Creator Method signatures and docstrings: - def __init__(self, person_repository: PersonRepository, unit_of_work: UnitOfWork, event_bus: EventBus): Person Creator @param person_repository: @type person_repository: @param unit_of_wor...

8055927cb460bc40f3a2651c01a9d1da696177e8

<|skeleton|> class PersonCreator: """Person Creator""" def __init__(self, person_repository: PersonRepository, unit_of_work: UnitOfWork, event_bus: EventBus): """Person Creator @param person_repository: @type person_repository: @param unit_of_work: @type unit_of_work:""" <|body_0|> def __c...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PersonCreator: """Person Creator""" def __init__(self, person_repository: PersonRepository, unit_of_work: UnitOfWork, event_bus: EventBus): """Person Creator @param person_repository: @type person_repository: @param unit_of_work: @type unit_of_work:""" self.__person_repository = person_re...

the_stack_v2_python_sparse

modules/persons/application/create/person_creator.py

eduardolujan/hexagonal_architecture_django

train

5

581ec5db4a01dac41a9d66756a7b5da45b83e275

[ "namespaces = {'xsi': LT_XSI_NS}\nschemaLocation = etree.QName(LT_XSI_NS, 'schemaLocation')\npayload = etree.Element('RTML', {schemaLocation: LT_SCHEMA_LOCATION}, xmlns=LT_XML_NS, mode='request', uid=format(str(request.id)), version='3.1a', nsmap=namespaces)\nreturn payload", "altdata = request.allocation.altdata...

<|body_start_0|> namespaces = {'xsi': LT_XSI_NS} schemaLocation = etree.QName(LT_XSI_NS, 'schemaLocation') payload = etree.Element('RTML', {schemaLocation: LT_SCHEMA_LOCATION}, xmlns=LT_XML_NS, mode='request', uid=format(str(request.id)), version='3.1a', nsmap=namespaces) return payload ...

An XML structure for LT requests.

LTRequest

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class LTRequest: """An XML structure for LT requests.""" def _build_prolog(self, request): """Payload outline for all LT queue requests. Returns ---------- payload: etree.Element payload outline for LT requests.""" <|body_0|> def _build_project(self, payload, request): ...

stack_v2_sparse_classes_75kplus_train_006136

27,052

permissive

[ { "docstring": "Payload outline for all LT queue requests. Returns ---------- payload: etree.Element payload outline for LT requests.", "name": "_build_prolog", "signature": "def _build_prolog(self, request)" }, { "docstring": "Payload header for all LT queue requests. Parameters ---------- payl...

4

stack_v2_sparse_classes_30k_train_051642

Implement the Python class `LTRequest` described below. Class description: An XML structure for LT requests. Method signatures and docstrings: - def _build_prolog(self, request): Payload outline for all LT queue requests. Returns ---------- payload: etree.Element payload outline for LT requests. - def _build_project(...

161d3532ba3ba059446addcdac58ca96f39e9636

<|skeleton|> class LTRequest: """An XML structure for LT requests.""" def _build_prolog(self, request): """Payload outline for all LT queue requests. Returns ---------- payload: etree.Element payload outline for LT requests.""" <|body_0|> def _build_project(self, payload, request): ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LTRequest: """An XML structure for LT requests.""" def _build_prolog(self, request): """Payload outline for all LT queue requests. Returns ---------- payload: etree.Element payload outline for LT requests.""" namespaces = {'xsi': LT_XSI_NS} schemaLocation = etree.QName(LT_XSI_NS, ...

the_stack_v2_python_sparse

skyportal/facility_apis/lt.py

skyportal/skyportal

train

80

5517b21befbc475c798db26286b46a79e8f7b66b

[ "self.n = ZZ(n)\nself.m = m\nself.__i = 0\nself.K = IntegerModRing(q)\nself.FM = FreeModule(self.K, n)\nself.D = D\nself.secret_dist = secret_dist\nif secret_dist == 'uniform':\n self.__s = random_vector(self.K, self.n)\nelif secret_dist == 'noise':\n self.__s = vector(self.K, self.n, [self.D() for _ in range...

<|body_start_0|> self.n = ZZ(n) self.m = m self.__i = 0 self.K = IntegerModRing(q) self.FM = FreeModule(self.K, n) self.D = D self.secret_dist = secret_dist if secret_dist == 'uniform': self.__s = random_vector(self.K, self.n) elif secr...

Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__

LWE

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LWE: """Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__""" def __init__(self, n, q, D, secret_dist='uniform', m=None): """Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimensi...

stack_v2_sparse_classes_75kplus_train_006137

31,769

no_license

[ { "docstring": "Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimension (integer > 0) - ``q`` - modulus typically > n (integer > 0) - ``D`` - an error distribution such as an instance of :class:`DiscreteGaussianDistributionIntegerSampler` o...

3

stack_v2_sparse_classes_30k_train_054113

Implement the Python class `LWE` described below. Class description: Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__ Method signatures and docstrings: - def __init__(self, n, q, D, secret_dist='uniform', m=None): Construct an LWE oracle in dimension ``n`` over a ring of order ``q`...

0d9eacbf74e2acffefde93e39f8bcbec745cdaba

<|skeleton|> class LWE: """Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__""" def __init__(self, n, q, D, secret_dist='uniform', m=None): """Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimensi...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LWE: """Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__""" def __init__(self, n, q, D, secret_dist='uniform', m=None): """Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimension (integer >...

the_stack_v2_python_sparse

sage/src/sage/crypto/lwe.py

bopopescu/geosci

train

0

ee705ebbb7578e8b30c3adf5e0d4541989402a91

[ "hook_id = kwargs['hook']\ntest_id = kwargs['test']\nhook = Hook.objects.get(pk=hook_id)\ntest = TestCase.objects.get(pk=test_id)\nhook.tests.add(test)\nserializer1 = HookSerializer(instance=hook)\nreturn Response(serializer1.data, status=status.HTTP_201_CREATED)", "hook_id = kwargs['hook']\ntest_id = kwargs['tes...

<|body_start_0|> hook_id = kwargs['hook'] test_id = kwargs['test'] hook = Hook.objects.get(pk=hook_id) test = TestCase.objects.get(pk=test_id) hook.tests.add(test) serializer1 = HookSerializer(instance=hook) return Response(serializer1.data, status=status.HTTP_201...

HookAndTestCaseView

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006138

1,497

no_license

[ { "docstring": "Create association between test and hook", "name": "post", "signature": "def post(self, request, *args, **kwargs)" }, { "docstring": "Delete association between test and hook", "name": "delete", "signature": "def delete(self, request, *args, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_train_027522

Implement the Python class `HookAndTestCaseView` described below. Class description: Implement the HookAndTestCaseView class. Method signatures and docstrings: - def post(self, request, *args, **kwargs): Create association between test and hook - def delete(self, request, *args, **kwargs): Delete association between ...

2885edcf91ad887505850ae5d0ef7f65dbebef34

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class HookAndTestCaseView: def post(self, request, *args, **kwargs): """Create association between test and hook""" hook_id = kwargs['hook'] test_id = kwargs['test'] hook = Hook.objects.get(pk=hook_id) test = TestCase.objects.get(pk=test_id) hook.tests.add(test) ...

the_stack_v2_python_sparse

asura/hooks/views.py

EtheriousNatsu/asura-web

train

0

105672e66eb8bee3a5cfb49e473e97e855b6ed28

[ "task_qs = Task.objects.select_related('manager').prefetch_related('agent_list').filter(id=pk)\nif len(task_qs) < 1:\n return Response({'detail': 'Task not found!'}, status=400)\ntask = task_qs[0]\nself.check_object_permissions(request, task)\ntask_data = get_task_details(task)\nreturn Response(task_data, status...

<|body_start_0|> task_qs = Task.objects.select_related('manager').prefetch_related('agent_list').filter(id=pk) if len(task_qs) < 1: return Response({'detail': 'Task not found!'}, status=400) task = task_qs[0] self.check_object_permissions(request, task) task_data = ge...

TaskViewSetAgent

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TaskViewSetAgent: def retrieve(self, request, pk, format=None): """Sample response: --- { 'id': 11, 'title': 'Title', 'point': {'lat': 23.780926, 'lng': 90.422858}, 'status': 0, 'start': datetime, 'deadline': datetime, "images": ['url1..', 'url2..'], 'task_type': 'Doctors visit', 'agent_...

stack_v2_sparse_classes_75kplus_train_006139

22,163

no_license

[ { "docstring": "Sample response: --- { 'id': 11, 'title': 'Title', 'point': {'lat': 23.780926, 'lng': 90.422858}, 'status': 0, 'start': datetime, 'deadline': datetime, \"images\": ['url1..', 'url2..'], 'task_type': 'Doctors visit', 'agent_list': [50, 51], 'manager': 'name', 'custom_fields': [], 'address': 'addr...

4

stack_v2_sparse_classes_30k_train_031609

Implement the Python class `TaskViewSetAgent` described below. Class description: Implement the TaskViewSetAgent class. Method signatures and docstrings: - def retrieve(self, request, pk, format=None): Sample response: --- { 'id': 11, 'title': 'Title', 'point': {'lat': 23.780926, 'lng': 90.422858}, 'status': 0, 'star...

11be165f85cda0ffe7a237d011de562d3dc64135

<|skeleton|> class TaskViewSetAgent: def retrieve(self, request, pk, format=None): """Sample response: --- { 'id': 11, 'title': 'Title', 'point': {'lat': 23.780926, 'lng': 90.422858}, 'status': 0, 'start': datetime, 'deadline': datetime, "images": ['url1..', 'url2..'], 'task_type': 'Doctors visit', 'agent_...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TaskViewSetAgent: def retrieve(self, request, pk, format=None): """Sample response: --- { 'id': 11, 'title': 'Title', 'point': {'lat': 23.780926, 'lng': 90.422858}, 'status': 0, 'start': datetime, 'deadline': datetime, "images": ['url1..', 'url2..'], 'task_type': 'Doctors visit', 'agent_list': [50, 51...

the_stack_v2_python_sparse

apps/task/views.py

ash018/FFTracker

train

0

24c0eca60e4b90b60e8991bbd27f5d587f97dfc2

[ "pc = DotDict()\nf2jd = copy.deepcopy(cannonical_json_dump)\npc.upload_file_minidump_flash2 = DotDict()\npc.upload_file_minidump_flash2.json_dump = f2jd\npc.upload_file_minidump_flash2.json_dump['threads'][0]['frames'][1]['function'] = 'NtUserPeekMessage'\npc.upload_file_minidump_flash2.json_dump['threads'][0]['fra...

<|body_start_0|> pc = DotDict() f2jd = copy.deepcopy(cannonical_json_dump) pc.upload_file_minidump_flash2 = DotDict() pc.upload_file_minidump_flash2.json_dump = f2jd pc.upload_file_minidump_flash2.json_dump['threads'][0]['frames'][1]['function'] = 'NtUserPeekMessage' pc.u...

TestBug812318

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006140

27,276

no_license

[ { "docstring": "success - both targets found in top 5 frames of stack", "name": "test_action_case_1", "signature": "def test_action_case_1(self)" }, { "docstring": "success - only 1st target found in top 5 frames of stack", "name": "test_action_case_2", "signature": "def test_action_case...

3

stack_v2_sparse_classes_30k_train_014551

Implement the Python class `TestBug812318` described below. Class description: Implement the TestBug812318 class. Method signatures and docstrings: - def test_action_case_1(self): success - both targets found in top 5 frames of stack - def test_action_case_2(self): success - only 1st target found in top 5 frames of s...

9c9b7701d7ddf9f3cbba1a4d0aa65758e8b49528

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestBug812318: def test_action_case_1(self): """success - both targets found in top 5 frames of stack""" pc = DotDict() f2jd = copy.deepcopy(cannonical_json_dump) pc.upload_file_minidump_flash2 = DotDict() pc.upload_file_minidump_flash2.json_dump = f2jd pc.uploa...

the_stack_v2_python_sparse

socorro/unittest/processor/test_skunk_classifiers.py

v1ka5/socorro

train

0

a4989dd2ed22b287f2fe0543d3888aa50fbeed93

[ "query = Exercise.get_query(info)\nif author:\n user = UserModel.find_by_username(author)\n return query.order_by(ExerciseModel.name.desc()).filter(ExerciseModel.author == user.id).all()\nreturn query.all()", "query = Exercise.get_query(info)\nif id:\n return query.filter(ExerciseModel.id == id).first()\...

Query

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006141

1,111

no_license

[ { "docstring": "Return a list of all exercises. Search by author: A user's username.", "name": "resolve_exercises", "signature": "def resolve_exercises(root, info, author=None)" }, { "docstring": "Return a single exercise by id.", "name": "resolve_exercise", "signature": "def resolve_exe...

2

stack_v2_sparse_classes_30k_train_022677

Implement the Python class `Query` described below. Class description: Implement the Query class. Method signatures and docstrings: - def resolve_exercises(root, info, author=None): Return a list of all exercises. Search by author: A user's username. - def resolve_exercise(root, info, id=None, name=None, desc=None): ...

f0056da32453fce0a9dece90508fcdcad8cc905b

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Query: def resolve_exercises(root, info, author=None): """Return a list of all exercises. Search by author: A user's username.""" query = Exercise.get_query(info) if author: user = UserModel.find_by_username(author) return query.order_by(ExerciseModel.name.desc(...

the_stack_v2_python_sparse

stronk/schemas/exercise/query.py

not-monday/stronk-backend

train

3

5a0120925072d98797090bfecd93309a27a6f9f6

[ "if kind not in ['start_date', 'end_date']:\n raise ValueError\nif dateval:\n setattr(self, 'partial_%s' % kind, dateval)\n if getattr(self, kind).year < 1919:\n setattr(self, '%s_precision' % kind, DatePrecision.month | DatePrecision.day)\nelif earliest and latest:\n setattr(self, kind, earliest...

<|body_start_0|> if kind not in ['start_date', 'end_date']: raise ValueError if dateval: setattr(self, 'partial_%s' % kind, dateval) if getattr(self, kind).year < 1919: setattr(self, '%s_precision' % kind, DatePrecision.month | DatePrecision.day) ...

Mixin to add fields for partial start and end dates to a model using :class:`DatePrecisionField` and :class:`PartialDate`.

PartialDateMixin

[ "LicenseRef-scancode-free-unknown", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PartialDateMixin: """Mixin to add fields for partial start and end dates to a model using :class:`DatePrecisionField` and :class:`PartialDate`.""" def calculate_date(self, kind, dateval=None, earliest=None, latest=None): """Calculate end or start date based on a single value in a sup...

stack_v2_sparse_classes_75kplus_train_006142

10,637

permissive

[ { "docstring": "Calculate end or start date based on a single value in a supported partial date form or based on earliest/latest datetime.", "name": "calculate_date", "signature": "def calculate_date(self, kind, dateval=None, earliest=None, latest=None)" }, { "docstring": "Borrowing event date r...

2

stack_v2_sparse_classes_30k_train_015269

Implement the Python class `PartialDateMixin` described below. Class description: Mixin to add fields for partial start and end dates to a model using :class:`DatePrecisionField` and :class:`PartialDate`. Method signatures and docstrings: - def calculate_date(self, kind, dateval=None, earliest=None, latest=None): Cal...

6103855f07c2c0123ab21b93b794ea5d5ca39aa2

<|skeleton|> class PartialDateMixin: """Mixin to add fields for partial start and end dates to a model using :class:`DatePrecisionField` and :class:`PartialDate`.""" def calculate_date(self, kind, dateval=None, earliest=None, latest=None): """Calculate end or start date based on a single value in a sup...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PartialDateMixin: """Mixin to add fields for partial start and end dates to a model using :class:`DatePrecisionField` and :class:`PartialDate`.""" def calculate_date(self, kind, dateval=None, earliest=None, latest=None): """Calculate end or start date based on a single value in a supported partia...

the_stack_v2_python_sparse

mep/accounts/partial_date.py

Princeton-CDH/mep-django

train

6

947bb894473e2eb5b37295415f27abc6f7c81227

[ "self.parsed_urls = []\nself.parsed_payloads = []\nreturn", "if self.url_match.match(data):\n self.parsed_urls.append(data)\nif validators.sha256(data):\n self.parsed_payloads.append(data)\nreturn" ]

HTML parser class

ParserHTML

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006143

8,066

permissive

[ { "docstring": "Empty the list of URLs and payloads.", "name": "reload", "signature": "def reload(self)" }, { "docstring": "Feed source code to parser and extract URLs and hashes.", "name": "handle_data", "signature": "def handle_data(self, data)" } ]

2

stack_v2_sparse_classes_30k_train_000360

Implement the Python class `ParserHTML` described below. Class description: HTML parser class Method signatures and docstrings: - def reload(self): Empty the list of URLs and payloads. - def handle_data(self, data): Feed source code to parser and extract URLs and hashes.

Implement the Python class `ParserHTML` described below. Class description: HTML parser class Method signatures and docstrings: - def reload(self): Empty the list of URLs and payloads. - def handle_data(self, data): Feed source code to parser and extract URLs and hashes. <|skeleton|> class ParserHTML: """HTML pa...

914232c99ca10bf0d42c560860c8c05d24485c75

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ParserHTML: """HTML parser class""" def reload(self): """Empty the list of URLs and payloads.""" self.parsed_urls = [] self.parsed_payloads = [] return def handle_data(self, data): """Feed source code to parser and extract URLs and hashes.""" if self.u...

the_stack_v2_python_sparse

bin/urlhaus_api.py

lin0x/osweep

train

0

8ee9228952ebb7ae54244773b81e0102447430fa

[ "x = tunable.x\nnew_x = tunable.clamp_into_domain(x * 1.1)\nif new_x == x:\n new_x = tunable.clamp_into_domain(x * 0.9)\n if new_x == x:\n raise RuntimeError('Unable to perturb x for secant solver.')\ntunable.x = new_x", "counter = self._counters.get(tunable, 0) + 1\nif counter > self._max_allowable_...

Provides helper methods for solvers that require gradients.

_GradientHelper

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class _GradientHelper: """Provides helper methods for solvers that require gradients.""" def _initialize_tuning(tunable): """Called when a tunable is passed for the first time to solver. Perturbs x to allow for the calculation of df/dx.""" <|body_0|> def _handle_static_y(self,...

stack_v2_sparse_classes_75kplus_train_006144

22,981

permissive

[ { "docstring": "Called when a tunable is passed for the first time to solver. Perturbs x to allow for the calculation of df/dx.", "name": "_initialize_tuning", "signature": "def _initialize_tuning(tunable)" }, { "docstring": "Handles when y is constant for multiple calls to solve_one. We do noth...

2

null

Implement the Python class `_GradientHelper` described below. Class description: Provides helper methods for solvers that require gradients. Method signatures and docstrings: - def _initialize_tuning(tunable): Called when a tunable is passed for the first time to solver. Perturbs x to allow for the calculation of df/...

abdd76bc854358426e4cf055badd27f80df6ec85

<|skeleton|> class _GradientHelper: """Provides helper methods for solvers that require gradients.""" def _initialize_tuning(tunable): """Called when a tunable is passed for the first time to solver. Perturbs x to allow for the calculation of df/dx.""" <|body_0|> def _handle_static_y(self,...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class _GradientHelper: """Provides helper methods for solvers that require gradients.""" def _initialize_tuning(tunable): """Called when a tunable is passed for the first time to solver. Perturbs x to allow for the calculation of df/dx.""" x = tunable.x new_x = tunable.clamp_into_domain...

the_stack_v2_python_sparse

hoomd/tune/solve.py

glotzerlab/hoomd-blue

train

287

d9cbebe0e7da2584149a64dbe460117812bbc103

[ "model = Battle\nserializer = BattleSerializer\nverbose_serializer = None\ndata_dict = request.GET.dict()\nif 'verbose' in data_dict and verbose_serializer:\n serializer = verbose_serializer\nif 'pk' in kwargs:\n data_dict['id'] = kwargs['pk']\nlimit, offset = get_limit_offset(request)\nq_filter = filter_from...

<|body_start_0|> model = Battle serializer = BattleSerializer verbose_serializer = None data_dict = request.GET.dict() if 'verbose' in data_dict and verbose_serializer: serializer = verbose_serializer if 'pk' in kwargs: data_dict['id'] = kwargs['pk...

BattleApi

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BattleApi: def get(self, request, *args, **kwargs): """If no pk is passed in the URL, a filtered list is returned Otherwise the record of the request id is returned""" <|body_0|> def post(self, request, *args, **kwargs): """If no pk is passed in the URL, a new record...

stack_v2_sparse_classes_75kplus_train_006145

8,170

no_license

[ { "docstring": "If no pk is passed in the URL, a filtered list is returned Otherwise the record of the request id is returned", "name": "get", "signature": "def get(self, request, *args, **kwargs)" }, { "docstring": "If no pk is passed in the URL, a new record is created Otherwise the record of ...

2

stack_v2_sparse_classes_30k_train_045296

Implement the Python class `BattleApi` described below. Class description: Implement the BattleApi class. Method signatures and docstrings: - def get(self, request, *args, **kwargs): If no pk is passed in the URL, a filtered list is returned Otherwise the record of the request id is returned - def post(self, request,...

76f5c407d9513ccc5a48a91dd4d8838ee716e889

<|skeleton|> class BattleApi: def get(self, request, *args, **kwargs): """If no pk is passed in the URL, a filtered list is returned Otherwise the record of the request id is returned""" <|body_0|> def post(self, request, *args, **kwargs): """If no pk is passed in the URL, a new record...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BattleApi: def get(self, request, *args, **kwargs): """If no pk is passed in the URL, a filtered list is returned Otherwise the record of the request id is returned""" model = Battle serializer = BattleSerializer verbose_serializer = None data_dict = request.GET.dict() ...

the_stack_v2_python_sparse

ptmo/myfarog/views.py

kwstewart/ptmo

train

0

dcb3401a9110b7c3383f2bb9d596bd8f0e54e97d

[ "outputs = sorted(StreamAlertOutput.get_all_outputs().keys())\ngenerate_skeleton_parser = generate_subparser(subparser, 'generate-skeleton', description=cls.description, help=cls.description, subcommand=True)\ngenerate_skeleton_parser.add_argument('--services', choices=outputs, nargs='+', metavar='SERVICE', default...

<|body_start_0|> outputs = sorted(StreamAlertOutput.get_all_outputs().keys()) generate_skeleton_parser = generate_subparser(subparser, 'generate-skeleton', description=cls.description, help=cls.description, subcommand=True) generate_skeleton_parser.add_argument('--services', choices=outputs, nar...

OutputGenerateSkeletonSubCommand

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class OutputGenerateSkeletonSubCommand: def setup_subparser(cls, subparser): """Add generate-skeleton subparser to the output subparser""" <|body_0|> def handler(cls, options, config): """Generate a skeleton file for use with set-from-file Args: options (argparse.Namespace...

stack_v2_sparse_classes_75kplus_train_006146

19,044

permissive

[ { "docstring": "Add generate-skeleton subparser to the output subparser", "name": "setup_subparser", "signature": "def setup_subparser(cls, subparser)" }, { "docstring": "Generate a skeleton file for use with set-from-file Args: options (argparse.Namespace): Basically a namedtuple with the servi...

2

stack_v2_sparse_classes_30k_test_002200

Implement the Python class `OutputGenerateSkeletonSubCommand` described below. Class description: Implement the OutputGenerateSkeletonSubCommand class. Method signatures and docstrings: - def setup_subparser(cls, subparser): Add generate-skeleton subparser to the output subparser - def handler(cls, options, config): ...

75ba140d2e1aa6e903313d88326920adcb8bff45

<|skeleton|> class OutputGenerateSkeletonSubCommand: def setup_subparser(cls, subparser): """Add generate-skeleton subparser to the output subparser""" <|body_0|> def handler(cls, options, config): """Generate a skeleton file for use with set-from-file Args: options (argparse.Namespace...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class OutputGenerateSkeletonSubCommand: def setup_subparser(cls, subparser): """Add generate-skeleton subparser to the output subparser""" outputs = sorted(StreamAlertOutput.get_all_outputs().keys()) generate_skeleton_parser = generate_subparser(subparser, 'generate-skeleton', description=cl...

the_stack_v2_python_sparse

streamalert_cli/outputs/handler.py

avmi/streamalert

train

0

02a1e8b6ec1c0c542df60f019bff255dba1309fa

[ "alipay = Alipay(pid=settings.ALIPAY_PID, key=settings.ALIPAY_KEY, seller_email=settings.ALIPAY_EMAIL)\nif not alipay.verify_notify(**request.GET.dict()):\n return HttpResponseForbidden()\ncode, payment_type = request.GET['out_trade_no'].split('_')\norder = Order.objects.get(code=code)\npayment = Payment()\npaym...

<|body_start_0|> alipay = Alipay(pid=settings.ALIPAY_PID, key=settings.ALIPAY_KEY, seller_email=settings.ALIPAY_EMAIL) if not alipay.verify_notify(**request.GET.dict()): return HttpResponseForbidden() code, payment_type = request.GET['out_trade_no'].split('_') order = Order.o...

Payment success. return_url for Alipay.

SuccessView

[ "Unlicense" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006147

8,035

permissive

[ { "docstring": "Verify notify", "name": "get2", "signature": "def get2(self, request, *args, **kwargs)" }, { "docstring": "Add extra data to the context", "name": "get_context_data2", "signature": "def get_context_data2(self, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_train_026320

Implement the Python class `SuccessView` described below. Class description: Payment success. return_url for Alipay. Method signatures and docstrings: - def get2(self, request, *args, **kwargs): Verify notify - def get_context_data2(self, **kwargs): Add extra data to the context

Implement the Python class `SuccessView` described below. Class description: Payment success. return_url for Alipay. Method signatures and docstrings: - def get2(self, request, *args, **kwargs): Verify notify - def get_context_data2(self, **kwargs): Add extra data to the context <|skeleton|> class SuccessView: "...

0ea016745d92054bd4df8d934c1b67fd61b6f845

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SuccessView: """Payment success. return_url for Alipay.""" def get2(self, request, *args, **kwargs): """Verify notify""" alipay = Alipay(pid=settings.ALIPAY_PID, key=settings.ALIPAY_KEY, seller_email=settings.ALIPAY_EMAIL) if not alipay.verify_notify(**request.GET.dict()): ...

the_stack_v2_python_sparse

payments/views.py

ygrass/handsome

train

0

affd4533183535bde040675c3e0763d6a39c516d

[ "kernel_size = [kernel_size, kernel_size] if isinstance(kernel_size, int) else kernel_size\ndimensions = ModuleDimensions(features=int(np.prod(kernel_size)), in_channel=shapley_module.dimensions.in_channel, out_channel=shapley_module.dimensions.out_channel)\nsuper(ShallowConvShapleyNetwork, self).__init__(dimension...

<|body_start_0|> kernel_size = [kernel_size, kernel_size] if isinstance(kernel_size, int) else kernel_size dimensions = ModuleDimensions(features=int(np.prod(kernel_size)), in_channel=shapley_module.dimensions.in_channel, out_channel=shapley_module.dimensions.out_channel) super(ShallowConvShaple...

This is as described in the paper under paragraph \\paragraph{Deep {\\sc ShapNet} for Images} We simply swap the matrix multiplication in convolutional layers, and substitute in the Shapley Modules This is implemented by utilizing PyTorch's nn.Unfold and nn.Fold modules

ShallowConvShapleyNetwork

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ShallowConvShapleyNetwork: """This is as described in the paper under paragraph \\paragraph{Deep {\\sc ShapNet} for Images} We simply swap the matrix multiplication in convolutional layers, and substitute in the Shapley Modules This is implemented by utilizing PyTorch's nn.Unfold and nn.Fold modu...

stack_v2_sparse_classes_75kplus_train_006148

12,568

permissive

[ { "docstring": "The instantiation function The arguments including kernel_size, dilation, padding and stride are following the convention of nn.Conv2d Args: shapley_module (): the Shapley Module with which the matrix multiplication in convolution is replaced. reference_values (): the reference values for the ba...

3

null

Implement the Python class `ShallowConvShapleyNetwork` described below. Class description: This is as described in the paper under paragraph \\paragraph{Deep {\\sc ShapNet} for Images} We simply swap the matrix multiplication in convolutional layers, and substitute in the Shapley Modules This is implemented by utilizi...

cab6644677894f0ac88610d2f9cfca239068f403

<|skeleton|> class ShallowConvShapleyNetwork: """This is as described in the paper under paragraph \\paragraph{Deep {\\sc ShapNet} for Images} We simply swap the matrix multiplication in convolutional layers, and substitute in the Shapley Modules This is implemented by utilizing PyTorch's nn.Unfold and nn.Fold modu...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ShallowConvShapleyNetwork: """This is as described in the paper under paragraph \\paragraph{Deep {\\sc ShapNet} for Images} We simply swap the matrix multiplication in convolutional layers, and substitute in the Shapley Modules This is implemented by utilizing PyTorch's nn.Unfold and nn.Fold modules""" d...

the_stack_v2_python_sparse

ShapNet/vision.py

Tzq2doc/ShapleyExplanationNetworks

train

0

af9a0485da0352e489101eb0b9a9487f30618c6d

[ "affinityPropagation = AffinityPropagation(affinity='precomputed').fit(self.affinity)\nself.nClusters = len(affinityPropagation.cluster_centers_indices_)\nself.clusterLabels = affinityPropagation.labels_\nself.affinityPropagation = affinityPropagation\nself.confusionMatrix = confusion_matrix(self.trueLabels, self.c...

<|body_start_0|> affinityPropagation = AffinityPropagation(affinity='precomputed').fit(self.affinity) self.nClusters = len(affinityPropagation.cluster_centers_indices_) self.clusterLabels = affinityPropagation.labels_ self.affinityPropagation = affinityPropagation self.confusionM...

Run affinity propagation cluster analysis.

AffinityPropagationAnalysis

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AffinityPropagationAnalysis: """Run affinity propagation cluster analysis.""" def cluster(self): """Interface to affinity propagation clustering. @return: An C{sklearn.cluster.AffinityPropagation} instance.""" <|body_0|> def print_(self, margin='', result=None): ...

stack_v2_sparse_classes_75kplus_train_006149

9,448

no_license

[ { "docstring": "Interface to affinity propagation clustering. @return: An C{sklearn.cluster.AffinityPropagation} instance.", "name": "cluster", "signature": "def cluster(self)" }, { "docstring": "Print details of the clustering. @param margin: A C{str} that should be inserted at the start of eac...

2

null

Implement the Python class `AffinityPropagationAnalysis` described below. Class description: Run affinity propagation cluster analysis. Method signatures and docstrings: - def cluster(self): Interface to affinity propagation clustering. @return: An C{sklearn.cluster.AffinityPropagation} instance. - def print_(self, m...

3e848dfa66f5fd07f1fb709abc935baff9f43d87

<|skeleton|> class AffinityPropagationAnalysis: """Run affinity propagation cluster analysis.""" def cluster(self): """Interface to affinity propagation clustering. @return: An C{sklearn.cluster.AffinityPropagation} instance.""" <|body_0|> def print_(self, margin='', result=None): ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AffinityPropagationAnalysis: """Run affinity propagation cluster analysis.""" def cluster(self): """Interface to affinity propagation clustering. @return: An C{sklearn.cluster.AffinityPropagation} instance.""" affinityPropagation = AffinityPropagation(affinity='precomputed').fit(self.affi...

the_stack_v2_python_sparse

light/performance/cluster.py

acorg/light-matter

train

0

a1871b6b3dab5b11caefe733d2f3894f904667d2

[ "exp_uid = request.json['exp_uid']\nexp_key = request.json['exp_key']\nif not keychain.verify_exp_key(exp_uid, exp_key):\n return (api_util.attach_meta({}, api_util.verification_error), 200)\ntarget_blob = request.json['target_blob']\ncurrent_target_mapping = targetmapper.create_target_mapping(exp_uid, target_bl...

<|body_start_0|> exp_uid = request.json['exp_uid'] exp_key = request.json['exp_key'] if not keychain.verify_exp_key(exp_uid, exp_key): return (api_util.attach_meta({}, api_util.verification_error), 200) target_blob = request.json['target_blob'] current_target_mapping ...

Targets

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Targets: def post(self): """Requires a exp_uid, exp_key, n, and target_blob to create target map. USAGE BELOW DEPRECIATED Usage: :: POST { 'app_id': application id, 'exp_id': experiment id, 'exp_key': experiment key, 'args': application specific keys }""" <|body_0|> def get(...

stack_v2_sparse_classes_75kplus_train_006150

2,505

permissive

[ { "docstring": "Requires a exp_uid, exp_key, n, and target_blob to create target map. USAGE BELOW DEPRECIATED Usage: :: POST { 'app_id': application id, 'exp_id': experiment id, 'exp_key': experiment key, 'args': application specific keys }", "name": "post", "signature": "def post(self)" }, { "d...

2

null

Implement the Python class `Targets` described below. Class description: Implement the Targets class. Method signatures and docstrings: - def post(self): Requires a exp_uid, exp_key, n, and target_blob to create target map. USAGE BELOW DEPRECIATED Usage: :: POST { 'app_id': application id, 'exp_id': experiment id, 'e...

2fcd8df29d274c86276bb5a039f7e61f201ebf61

<|skeleton|> class Targets: def post(self): """Requires a exp_uid, exp_key, n, and target_blob to create target map. USAGE BELOW DEPRECIATED Usage: :: POST { 'app_id': application id, 'exp_id': experiment id, 'exp_key': experiment key, 'args': application specific keys }""" <|body_0|> def get(...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Targets: def post(self): """Requires a exp_uid, exp_key, n, and target_blob to create target map. USAGE BELOW DEPRECIATED Usage: :: POST { 'app_id': application id, 'exp_id': experiment id, 'exp_key': experiment key, 'args': application specific keys }""" exp_uid = request.json['exp_uid'] ...

the_stack_v2_python_sparse

next/api/resources/targets.py

kgjamieson/NEXT-psych

train

4

b05a6ab488b278b2517584bf4ef8c76a5461e8d5

[ "self.reqparse = reqparse.RequestParser()\nself.reqparse.add_argument('username', type=str, required=True, help='Username not given, provide password as well')\nself.reqparse.add_argument('email', type=str, required=False, help='email not given')\nself.reqparse.add_argument('contact', type=str, required=False, help...

<|body_start_0|> self.reqparse = reqparse.RequestParser() self.reqparse.add_argument('username', type=str, required=True, help='Username not given, provide password as well') self.reqparse.add_argument('email', type=str, required=False, help='email not given') self.reqparse.add_argument(...

class logs in registred user

LoginUser

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006151

4,568

no_license

[ { "docstring": "constructor method for login class", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "method logs in user", "name": "post", "signature": "def post(self)" } ]

2

stack_v2_sparse_classes_30k_train_008457

Implement the Python class `LoginUser` described below. Class description: class logs in registred user Method signatures and docstrings: - def __init__(self): constructor method for login class - def post(self): method logs in user

Implement the Python class `LoginUser` described below. Class description: class logs in registred user Method signatures and docstrings: - def __init__(self): constructor method for login class - def post(self): method logs in user <|skeleton|> class LoginUser: """class logs in registred user""" def __init...

9af0b1c029279a9fc0ea6047e9d45fcf7d51f22e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LoginUser: """class logs in registred user""" def __init__(self): """constructor method for login class""" self.reqparse = reqparse.RequestParser() self.reqparse.add_argument('username', type=str, required=True, help='Username not given, provide password as well') self.req...

the_stack_v2_python_sparse

api/views/userview.py

billkabanga/fast-food-fast-2

train

2

6e27f7b8c62d9a9632620af1d831dbe069c94492

[ "super(Encoder, self).__init__()\nself.dm = dm\nself.N = N\nself.embedding = tf.keras.layers.Embedding(input_vocab, dm)\nself.positional_encoding = positional_encoding(max_seq_len, self.dm)\nself.blocks = [EncoderBlock(dm, h, hidden, drop_rate) for _ in range(N)]\nself.dropout = tf.keras.layers.Dropout(drop_rate)",...

<|body_start_0|> super(Encoder, self).__init__() self.dm = dm self.N = N self.embedding = tf.keras.layers.Embedding(input_vocab, dm) self.positional_encoding = positional_encoding(max_seq_len, self.dm) self.blocks = [EncoderBlock(dm, h, hidden, drop_rate) for _ in range(N...

Encoder represents a Transformers encoder layer

Encoder

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Encoder: """Encoder represents a Transformers encoder layer""" def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): """Encoder represents a Transformers encoder layer""" <|body_0|> def call(self, x, training, mask): """This calls the enc...

stack_v2_sparse_classes_75kplus_train_006152

1,422

no_license

[ { "docstring": "Encoder represents a Transformers encoder layer", "name": "__init__", "signature": "def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1)" }, { "docstring": "This calls the encoder algo and returns encoder output", "name": "call", "signature": "def...

2

stack_v2_sparse_classes_30k_train_049543

Implement the Python class `Encoder` described below. Class description: Encoder represents a Transformers encoder layer Method signatures and docstrings: - def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Encoder represents a Transformers encoder layer - def call(self, x, training, mask...

05eabebe5e5c050b1c4a7e1454b947638d883176

<|skeleton|> class Encoder: """Encoder represents a Transformers encoder layer""" def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): """Encoder represents a Transformers encoder layer""" <|body_0|> def call(self, x, training, mask): """This calls the enc...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Encoder: """Encoder represents a Transformers encoder layer""" def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): """Encoder represents a Transformers encoder layer""" super(Encoder, self).__init__() self.dm = dm self.N = N self.embeddin...

the_stack_v2_python_sparse

supervised_learning/0x11-attention/9-transformer_encoder.py

chriswill88/holbertonschool-machine_learning

train

0

40e028f8a7914f0bac6718151d5df3044d2dd0de

[ "text = sql.strip()\nit = iter(text)\nsb = []\nfor c in it:\n if c.isspace():\n c = QueryBase._process_whitespace(it)\n sb.append(' ')\n sb.append(c.lower())\n if c in ('`', '\"', \"'\"):\n for d in QueryBase._process_quoted(it, c):\n sb.append(d)\nif sb[-1] == ';':\n sb....

<|body_start_0|> text = sql.strip() it = iter(text) sb = [] for c in it: if c.isspace(): c = QueryBase._process_whitespace(it) sb.append(' ') sb.append(c.lower()) if c in ('`', '"', "'"): for d in QueryBa...

QueryBase

[ "Apache-2.0", "BSD-3-Clause", "MIT", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class QueryBase: def _normalize(sql: str) -> str: """Normalizes a SQL query or SQL expression. No checks are made to ensure that the input is valid SQL. This is not a full normalization. The following operations are preformed: - Any run of whitespace characters outside of a quoted region is re...

stack_v2_sparse_classes_75kplus_train_006153

2,769

permissive

[ { "docstring": "Normalizes a SQL query or SQL expression. No checks are made to ensure that the input is valid SQL. This is not a full normalization. The following operations are preformed: - Any run of whitespace characters outside of a quoted region is replaces by a single ' ' character. - Characters outside ...

3

stack_v2_sparse_classes_30k_train_018816

Implement the Python class `QueryBase` described below. Class description: Implement the QueryBase class. Method signatures and docstrings: - def _normalize(sql: str) -> str: Normalizes a SQL query or SQL expression. No checks are made to ensure that the input is valid SQL. This is not a full normalization. The follo...

8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6

<|skeleton|> class QueryBase: def _normalize(sql: str) -> str: """Normalizes a SQL query or SQL expression. No checks are made to ensure that the input is valid SQL. This is not a full normalization. The following operations are preformed: - Any run of whitespace characters outside of a quoted region is re...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class QueryBase: def _normalize(sql: str) -> str: """Normalizes a SQL query or SQL expression. No checks are made to ensure that the input is valid SQL. This is not a full normalization. The following operations are preformed: - Any run of whitespace characters outside of a quoted region is replaces by a si...

the_stack_v2_python_sparse

govern/data-meta/amundsen/databuilder/databuilder/models/query/base.py

alldatacenter/alldata

train

774

a076e171968789c1698e6b08a516acf4761d1a9e

[ "params = kwarg['params']\ncmd = 'tc chain {} '.format(command)\nreturn cmd", "params = kwarg['params']\ncmd = 'tc chain {} '.format(command)\nreturn cmd" ]

<|body_start_0|> params = kwarg['params'] cmd = 'tc chain {} '.format(command) return cmd <|end_body_0|> <|body_start_1|> params = kwarg['params'] cmd = 'tc chain {} '.format(command) return cmd <|end_body_1|>

LinuxTcChainImpl

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006154

945

permissive

[ { "docstring": "tc [ OPTIONS ] chain [ add | delete | get ] dev DEV [ parent qdisc-id | root ] filtertype [ filtertype specific parameters ] tc [ OPTIONS ] chain [ add | delete | get ] block BLOCK_INDEX filtertype [ filter‐ type specific parameters ]", "name": "format_modify", "signature": "def format_m...

2

stack_v2_sparse_classes_30k_train_002159

Implement the Python class `LinuxTcChainImpl` described below. Class description: Implement the LinuxTcChainImpl class. Method signatures and docstrings: - def format_modify(self, command, *argv, **kwarg): tc [ OPTIONS ] chain [ add | delete | get ] dev DEV [ parent qdisc-id | root ] filtertype [ filtertype specific ...

e4c8221e18cd94e7424c30e12eb0fb82f7767267

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LinuxTcChainImpl: def format_modify(self, command, *argv, **kwarg): """tc [ OPTIONS ] chain [ add | delete | get ] dev DEV [ parent qdisc-id | root ] filtertype [ filtertype specific parameters ] tc [ OPTIONS ] chain [ add | delete | get ] block BLOCK_INDEX filtertype [ filter‐ type specific parameter...

the_stack_v2_python_sparse

Amazon_Framework/DentOsTestbedLib/src/dent_os_testbed/lib/tc/linux/linux_tc_chain_impl.py

tld3daniel/testing

train

0

47428ac9318fc0fb7016213df8947dc792c946ee

[ "self.title = title\nself.duration = duration\nself.year_released = year_released\nself.storyline = storyline\nself.poster_img_url = poster_img_url\nself.youtube_url = youtube_url", "num_hours = math.floor(self.duration / 60)\nnum_minutes = self.duration % 60\nreturn str(num_hours) + 'h ' + str(num_minutes) + 'm'...

This class provides a way to store movie related information

Movie

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Movie: """This class provides a way to store movie related information""" def __init__(self, title, duration, year_released, storyline, poster_img_url, youtube_url): """:param title (str): Title of the movie :param duration (int): Duration of the movie in minutes :param year_released...

stack_v2_sparse_classes_75kplus_train_006155

1,216

no_license

[ { "docstring": ":param title (str): Title of the movie :param duration (int): Duration of the movie in minutes :param year_released (str): Year movie was released :param storyline (str): Short description of the movie's plot :param poster_img_url (str): URL pointing to the movie's poster image :param youtube_ur...

2

stack_v2_sparse_classes_30k_train_039030

Implement the Python class `Movie` described below. Class description: This class provides a way to store movie related information Method signatures and docstrings: - def __init__(self, title, duration, year_released, storyline, poster_img_url, youtube_url): :param title (str): Title of the movie :param duration (in...

3d22a7658ecd130d25ac927290da583d2bd30b8a

<|skeleton|> class Movie: """This class provides a way to store movie related information""" def __init__(self, title, duration, year_released, storyline, poster_img_url, youtube_url): """:param title (str): Title of the movie :param duration (int): Duration of the movie in minutes :param year_released...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Movie: """This class provides a way to store movie related information""" def __init__(self, title, duration, year_released, storyline, poster_img_url, youtube_url): """:param title (str): Title of the movie :param duration (int): Duration of the movie in minutes :param year_released (str): Year ...

the_stack_v2_python_sparse

movies/media.py

Drew-Kimberly/fullstack

train

0

7150d082e61e8273835b4260666d80eb886f6091

[ "initialConfig = conf.get('settings', 'initialConfig')\nif initialConfig:\n initialConfig = ',' + initialConfig\nret = 'GSS,{0},3,0'.format(config['identifier'])\nret += ',O3=' + conf.get('settings', 'reportFormat')\nret += initialConfig\nret += ',D1=' + str(config['gprs']['apn'] or '')\nret += ',D2=' + str(conf...

<|body_start_0|> initialConfig = conf.get('settings', 'initialConfig') if initialConfig: initialConfig = ',' + initialConfig ret = 'GSS,{0},3,0'.format(config['identifier']) ret += ',O3=' + conf.get('settings', 'reportFormat') ret += initialConfig ret += ',D1=...

GloblasatCommandConfigure

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GloblasatCommandConfigure: def getSmsData(self, config): """Converts options to string @param config: request data @return: string""" <|body_0|> def getData(self, transport='tcp'): """Returns command data array accordingly to the transport @param transport: str @retu...

stack_v2_sparse_classes_75kplus_train_006156

6,582

no_license

[ { "docstring": "Converts options to string @param config: request data @return: string", "name": "getSmsData", "signature": "def getSmsData(self, config)" }, { "docstring": "Returns command data array accordingly to the transport @param transport: str @return: list of dicts", "name": "getDat...

2

stack_v2_sparse_classes_30k_train_032907

Implement the Python class `GloblasatCommandConfigure` described below. Class description: Implement the GloblasatCommandConfigure class. Method signatures and docstrings: - def getSmsData(self, config): Converts options to string @param config: request data @return: string - def getData(self, transport='tcp'): Retur...

4a4bc730252ece695b2773388812e2d59d4947ce

<|skeleton|> class GloblasatCommandConfigure: def getSmsData(self, config): """Converts options to string @param config: request data @return: string""" <|body_0|> def getData(self, transport='tcp'): """Returns command data array accordingly to the transport @param transport: str @retu...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GloblasatCommandConfigure: def getSmsData(self, config): """Converts options to string @param config: request data @return: string""" initialConfig = conf.get('settings', 'initialConfig') if initialConfig: initialConfig = ',' + initialConfig ret = 'GSS,{0},3,0'.form...

the_stack_v2_python_sparse

lib/handlers/globalsat/commands.py

maprox/pipe

train

4

b472bfead96051b3cba4d3d18f9122570dac3305

[ "self._table = {}\nfor p in breadth_first_traversal(self._tree):\n self._table[p.index()] = [p]\n l = 0\n while l < self._tree.depth(p):\n u = self._table[p.index()][l]\n w = self._tree.parent(u)\n self._table[p.index()].append(w)\n l += 1", "if isinstance(p, int):\n if k >...

<|body_start_0|> self._table = {} for p in breadth_first_traversal(self._tree): self._table[p.index()] = [p] l = 0 while l < self._tree.depth(p): u = self._table[p.index()][l] w = self._tree.parent(u) self._table[p.index...

Concrete class implementing table indexing strategy. Every possible query (p, k) is precomputed and the result is stored in a table. The size of the table is n^2. Computation of the level ancestor is performed using bottom-up dynamic programming in O(n^2) time. Querying is performed by a simple table look-up in O(1) ti...

LA_table

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LA_table: """Concrete class implementing table indexing strategy. Every possible query (p, k) is precomputed and the result is stored in a table. The size of the table is n^2. Computation of the level ancestor is performed using bottom-up dynamic programming in O(n^2) time. Querying is performed ...

stack_v2_sparse_classes_75kplus_train_006157

15,776

no_license

[ { "docstring": "Precompute all n^2 possible queries and store them in a table.", "name": "_preprocess", "signature": "def _preprocess(self)" }, { "docstring": "Perform simple table look-up.", "name": "_query", "signature": "def _query(self, p, k)" } ]

2

stack_v2_sparse_classes_30k_train_023358

Implement the Python class `LA_table` described below. Class description: Concrete class implementing table indexing strategy. Every possible query (p, k) is precomputed and the result is stored in a table. The size of the table is n^2. Computation of the level ancestor is performed using bottom-up dynamic programming...

341bdc7d144d18b49917453006461d670109e706

<|skeleton|> class LA_table: """Concrete class implementing table indexing strategy. Every possible query (p, k) is precomputed and the result is stored in a table. The size of the table is n^2. Computation of the level ancestor is performed using bottom-up dynamic programming in O(n^2) time. Querying is performed ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LA_table: """Concrete class implementing table indexing strategy. Every possible query (p, k) is precomputed and the result is stored in a table. The size of the table is n^2. Computation of the level ancestor is performed using bottom-up dynamic programming in O(n^2) time. Querying is performed by a simple t...

the_stack_v2_python_sparse

Level_Ancestor/la.py

pi-tau/fun-with-algorithms

train

0

ed1377943e7bd8a8963a2147987a898bf5a72908

[ "self.minsize = min_size\nself.maxsize = max_size\nself.interpolation = interpolation", "w, h = img.size\nratio = numpy.random.uniform(self.minsize, self.maxsize)\now = int(w * ratio)\noh = int(h * ratio)\nreturn (img.resize((ow, oh), self.interpolation), label.resize((ow, oh), Image.NEAREST))" ]

random Rescale the input image and correspond label to the given size.

RandomScale

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RandomScale: """random Rescale the input image and correspond label to the given size.""" def __init__(self, min_size, max_size, interpolation=Image.BICUBIC): """:param min_size: (int), Desired min output size. :param max_size: (int), Desired max output size. :param interpolation: De...

stack_v2_sparse_classes_75kplus_train_006158

11,352

permissive

[ { "docstring": ":param min_size: (int), Desired min output size. :param max_size: (int), Desired max output size. :param interpolation: Desired interpolation for image, for not introduce unknown label, the label using NEAREST as default.", "name": "__init__", "signature": "def __init__(self, min_size, m...

2

stack_v2_sparse_classes_30k_train_027574

Implement the Python class `RandomScale` described below. Class description: random Rescale the input image and correspond label to the given size. Method signatures and docstrings: - def __init__(self, min_size, max_size, interpolation=Image.BICUBIC): :param min_size: (int), Desired min output size. :param max_size:...

f6e6565ddfb910d1aec477b34e58d79e097b339e

<|skeleton|> class RandomScale: """random Rescale the input image and correspond label to the given size.""" def __init__(self, min_size, max_size, interpolation=Image.BICUBIC): """:param min_size: (int), Desired min output size. :param max_size: (int), Desired max output size. :param interpolation: De...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RandomScale: """random Rescale the input image and correspond label to the given size.""" def __init__(self, min_size, max_size, interpolation=Image.BICUBIC): """:param min_size: (int), Desired min output size. :param max_size: (int), Desired max output size. :param interpolation: Desired interpo...

the_stack_v2_python_sparse

dataset/data_loader.py

jtpils/structure_knowledge_distillation

train

1

53e47d7e875f3f5abf9f1fac172be0bfdbda66eb

[ "allCards = self.getCardsToDeal(context)\nwhile len(allCards) > 0:\n for foe in context.foes:\n if len(allCards) > 0:\n zone = context.getPlayerContext(foe).loadZone(HAND)\n zone.add(allCards.pop())", "allCards = []\neventZone = context.loadZone(EVENT)\nfor card in list(eventZone):...

Represents an effect to Shuffle Cards and Deal them to the foes

ShuffleAndDeal

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006159

869

no_license

[ { "docstring": "Perform the Game Effect", "name": "perform", "signature": "def perform(self, context)" }, { "docstring": "Get the Cards to Deal to the Character", "name": "getCardsToDeal", "signature": "def getCardsToDeal(self, context)" } ]

2

stack_v2_sparse_classes_30k_train_006479

Implement the Python class `ShuffleAndDeal` described below. Class description: Represents an effect to Shuffle Cards and Deal them to the foes Method signatures and docstrings: - def perform(self, context): Perform the Game Effect - def getCardsToDeal(self, context): Get the Cards to Deal to the Character

Implement the Python class `ShuffleAndDeal` described below. Class description: Represents an effect to Shuffle Cards and Deal them to the foes Method signatures and docstrings: - def perform(self, context): Perform the Game Effect - def getCardsToDeal(self, context): Get the Cards to Deal to the Character <|skeleto...

0b5a7573a3cf33430fe61e4ff8a8a7a0ae20b258

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ShuffleAndDeal: """Represents an effect to Shuffle Cards and Deal them to the foes""" def perform(self, context): """Perform the Game Effect""" allCards = self.getCardsToDeal(context) while len(allCards) > 0: for foe in context.foes: if len(allCards) > ...

the_stack_v2_python_sparse

src/Game/Effects/shuffle_and_deal.py

dfwarden/DeckBuilding

train

0

fd23ef21ff4ab6cd19e86f000418074c22fe74bc

[ "def preorder(root):\n if root:\n vals.append(str(root.val))\n preorder(root.left)\n preorder(root.right)\nvals = []\npreorder(root)\nreturn ' '.join(vals)", "preorder = map(int, data.split())\ninorder = sorted(preorder)\n\ndef dfs(preorder, inorder):\n if not inorder:\n return N...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006160

1,327

no_license

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

2

null

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

afc686acdda4168f4384e13fb730e17f4bdcd553

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""" def preorder(root): if root: vals.append(str(root.val)) preorder(root.left) preorder(root.right) vals = [] pre...

the_stack_v2_python_sparse

serialize-and-deserialize-bst.py

sfdye/leetcode

train

3

d12d7dfc464c164ddc3933854fa9cc3617037162

[ "if not nums:\n return\nself.sums = [nums[0]]\nfor i in range(len(nums) - 1):\n self.sums.append(self.sums[-1] + nums[i + 1])", "if i != 0:\n return self.sums[j] - self.sums[i - 1]\nelse:\n return self.sums[j]" ]

NumArray

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006161

733

no_license

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

2

stack_v2_sparse_classes_30k_train_031410

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 sumRange(self, i, j): :type i: int :type j: int :rtype: int

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 sumRange(self, i, j): :type i: int :type j: int :rtype: int <|skeleton|> class NumArray: def __init__(self, nums): ...

85415872711c7c4b646f71ba44b5ef9200c03f5e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NumArray: def __init__(self, nums): """:type nums: List[int]""" if not nums: return self.sums = [nums[0]] for i in range(len(nums) - 1): self.sums.append(self.sums[-1] + nums[i + 1]) def sumRange(self, i, j): """:type i: int :type j: int :rt...

the_stack_v2_python_sparse

303.py

ninini976/yf_leetcode_problems

train

0

c364c1de7b80b3ad6de660847c7de0324ebdd334

[ "response = self.client.get(reverse('books'))\nself.assertEqual(response.status_code, 200)\nself.assertContains(response, 'There are currently no books available.')\nself.assertQuerysetEqual(response.context['books_list'], [])", "create_book_helper('Test Book', 3, User.objects.create())\nresponse = self.client.ge...

BooksViewTests

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006162

23,279

no_license

[ { "docstring": "If no books are available display appropriate message", "name": "test_books_view_no_books", "signature": "def test_books_view_no_books(self)" }, { "docstring": "If all books are rented, display no available message", "name": "test_books_view_no_books_available", "signatur...

5

stack_v2_sparse_classes_30k_train_023387

Implement the Python class `BooksViewTests` described below. Class description: Implement the BooksViewTests class. Method signatures and docstrings: - def test_books_view_no_books(self): If no books are available display appropriate message - def test_books_view_no_books_available(self): If all books are rented, dis...

d06d44511a56eaa90bce46dcb5e35d79b91bbbc5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BooksViewTests: def test_books_view_no_books(self): """If no books are available display appropriate message""" response = self.client.get(reverse('books')) self.assertEqual(response.status_code, 200) self.assertContains(response, 'There are currently no books available.') ...

the_stack_v2_python_sparse

book_rental_store/books/tests.py

joe-kimlinger/book-rental-store

train

0

daa8d036324b6c9cc8a5fa4c96ff18a910eb1081

[ "super(NotConstitutionalStrategy, self).__init__(decision, member, bill)\nself._name = 'Not Constitutional'\nself._CONSTITUTION = 'Constitution'\nself._non_constitutional_stances = []", "constitution = PymongoDB.get_db().find_one(db_constants.ISSUES, queries.issue_query(self._CONSTITUTION))\nif not constitution:\...

From Professor Slade's Lisp code: ================================================================== 3 Not constitutional [B] (NOT-CONSTITUTIONAL) Remarks: Vote against a measure that would be struck down by the Supreme Court. Rank: "B" ================================================================== If there is a co...

NotConstitutionalStrategy

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NotConstitutionalStrategy: """From Professor Slade's Lisp code: ================================================================== 3 Not constitutional [B] (NOT-CONSTITUTIONAL) Remarks: Vote against a measure that would be struck down by the Supreme Court. Rank: "B" ==============================...

stack_v2_sparse_classes_75kplus_train_006163

3,675

no_license

[ { "docstring": "Constructs a new NotConstitutionalStrategy. Arguments: decision: The Decision object the Strategy will attempt to compute a result for. member: A Member object of the member who is deciding on the bill bill: A Bill object of the bill being decided upon.", "name": "__init__", "signature":...

3

null

Implement the Python class `NotConstitutionalStrategy` described below. Class description: From Professor Slade's Lisp code: ================================================================== 3 Not constitutional [B] (NOT-CONSTITUTIONAL) Remarks: Vote against a measure that would be struck down by the Supreme Court. R...

6df6e0ba491a839908ddcebe7feed9bff0f4db4d

<|skeleton|> class NotConstitutionalStrategy: """From Professor Slade's Lisp code: ================================================================== 3 Not constitutional [B] (NOT-CONSTITUTIONAL) Remarks: Vote against a measure that would be struck down by the Supreme Court. Rank: "B" ==============================...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NotConstitutionalStrategy: """From Professor Slade's Lisp code: ================================================================== 3 Not constitutional [B] (NOT-CONSTITUTIONAL) Remarks: Vote against a measure that would be struck down by the Supreme Court. Rank: "B" ===========================================...

the_stack_v2_python_sparse

src/classes/strategies/not_constitutional_strategy.py

WEB3-GForce/VOTE

train

4

6bc7ce008f6cfe9fef23195874358389f1645c38

[ "if request.GET.get(DBMI_AUTH_QUERY_BRANDING_KEY):\n state[DBMI_AUTH_QUERY_BRANDING_KEY] = request.GET[DBMI_AUTH_QUERY_BRANDING_KEY]\n logger.debug(f'Passing along branding')\nelse:\n branding = {}\n if dbmi_settings.AUTHN_TITLE:\n branding['title'] = dbmi_settings.AUTHN_TITLE\n if dbmi_settin...

<|body_start_0|> if request.GET.get(DBMI_AUTH_QUERY_BRANDING_KEY): state[DBMI_AUTH_QUERY_BRANDING_KEY] = request.GET[DBMI_AUTH_QUERY_BRANDING_KEY] logger.debug(f'Passing along branding') else: branding = {} if dbmi_settings.AUTHN_TITLE: bra...

The provider class encapsulates authentication provider behaviors and routines.

Auth0

[ "LicenseRef-scancode-public-domain" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Auth0: """The provider class encapsulates authentication provider behaviors and routines.""" def set_state(self, request, state): """This method allows the provider instance to add to or modify the state object that is passed along with the '/authorize' request. This allows the servi...

stack_v2_sparse_classes_75kplus_train_006164

7,677

permissive

[ { "docstring": "This method allows the provider instance to add to or modify the state object that is passed along with the '/authorize' request. This allows the service to pass parameters through login to the redirect to the calling service. :param request: The current request :type request: HttpRequest :param...

6

null

Implement the Python class `Auth0` described below. Class description: The provider class encapsulates authentication provider behaviors and routines. Method signatures and docstrings: - def set_state(self, request, state): This method allows the provider instance to add to or modify the state object that is passed a...

0c0db67331ff184b7e35831e0a497f0e6923264b

<|skeleton|> class Auth0: """The provider class encapsulates authentication provider behaviors and routines.""" def set_state(self, request, state): """This method allows the provider instance to add to or modify the state object that is passed along with the '/authorize' request. This allows the servi...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Auth0: """The provider class encapsulates authentication provider behaviors and routines.""" def set_state(self, request, state): """This method allows the provider instance to add to or modify the state object that is passed along with the '/authorize' request. This allows the service to pass pa...

the_stack_v2_python_sparse

dbmi_client/provider/auth0.py

hms-dbmi/django-dbmi-client

train

3

4936a198b564c2680863123cb37f76b979a6b332

[ "super(MultiHeadAttn, self).__init__()\nself.batch_size = batch_size\nself.matmul = nn.MatMul()\nself.add = P.Add()\nself.reshape = P.Reshape()\nself.transpose = P.Transpose()\nself.div = P.Div()\nself.softmax = nn.Softmax(axis=3)\nself.query_linear_weight = Parameter(Tensor(np.random.uniform(0, 1, (4096, 4096)).as...

<|body_start_0|> super(MultiHeadAttn, self).__init__() self.batch_size = batch_size self.matmul = nn.MatMul() self.add = P.Add() self.reshape = P.Reshape() self.transpose = P.Transpose() self.div = P.Div() self.softmax = nn.Softmax(axis=3) self.que...

Multi-head attention layer

MultiHeadAttn

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class MultiHeadAttn: """Multi-head attention layer""" def __init__(self, batch_size, query_linear_bias, key_linear_bias, value_linear_bias): """init function""" <|body_0|> def construct(self, hidden_states, extended_attention_mask): """construct function""" <|b...

stack_v2_sparse_classes_75kplus_train_006165

12,912

permissive

[ { "docstring": "init function", "name": "__init__", "signature": "def __init__(self, batch_size, query_linear_bias, key_linear_bias, value_linear_bias)" }, { "docstring": "construct function", "name": "construct", "signature": "def construct(self, hidden_states, extended_attention_mask)"...

2

stack_v2_sparse_classes_30k_test_001382

Implement the Python class `MultiHeadAttn` described below. Class description: Multi-head attention layer Method signatures and docstrings: - def __init__(self, batch_size, query_linear_bias, key_linear_bias, value_linear_bias): init function - def construct(self, hidden_states, extended_attention_mask): construct fu...

eab643f51336dbf7d711f02d27e6516e5affee59

<|skeleton|> class MultiHeadAttn: """Multi-head attention layer""" def __init__(self, batch_size, query_linear_bias, key_linear_bias, value_linear_bias): """init function""" <|body_0|> def construct(self, hidden_states, extended_attention_mask): """construct function""" <|b...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MultiHeadAttn: """Multi-head attention layer""" def __init__(self, batch_size, query_linear_bias, key_linear_bias, value_linear_bias): """init function""" super(MultiHeadAttn, self).__init__() self.batch_size = batch_size self.matmul = nn.MatMul() self.add = P.Add(...

the_stack_v2_python_sparse

research/nlp/tprr/src/albert.py

mindspore-ai/models

train

301

2886d1f63db3d48b43dd5f047dc144c659c102e5

[ "assert features.is_contiguous()\nassert indices.is_contiguous()\nB, nfeatures, nsample = indices.size()\n_, C, N = features.size()\noutput = torch.cuda.FloatTensor(B, C, nfeatures, nsample)\ngroup_points_ext.forward(B, C, N, nfeatures, nsample, features, indices, output)\nctx.for_backwards = (indices, N)\nreturn o...

<|body_start_0|> assert features.is_contiguous() assert indices.is_contiguous() B, nfeatures, nsample = indices.size() _, C, N = features.size() output = torch.cuda.FloatTensor(B, C, nfeatures, nsample) group_points_ext.forward(B, C, N, nfeatures, nsample, features, indic...

Grouping Operation. Group feature with given index.

GroupingOperation

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GroupingOperation: """Grouping Operation. Group feature with given index.""" def forward(ctx, features: torch.Tensor, indices: torch.Tensor) -> torch.Tensor: """forward. Args: features (Tensor): (B, C, N) tensor of features to group. indices (Tensor): (B, npoint, nsample) the indicie...

stack_v2_sparse_classes_75kplus_train_006166

1,896

permissive

[ { "docstring": "forward. Args: features (Tensor): (B, C, N) tensor of features to group. indices (Tensor): (B, npoint, nsample) the indicies of features to group with. Returns: Tensor: (B, C, npoint, nsample) Grouped features.", "name": "forward", "signature": "def forward(ctx, features: torch.Tensor, i...

2

stack_v2_sparse_classes_30k_train_031035

Implement the Python class `GroupingOperation` described below. Class description: Grouping Operation. Group feature with given index. Method signatures and docstrings: - def forward(ctx, features: torch.Tensor, indices: torch.Tensor) -> torch.Tensor: forward. Args: features (Tensor): (B, C, N) tensor of features to ...

9987806185a4e1619bc15ceecb8a1755e764ff68

<|skeleton|> class GroupingOperation: """Grouping Operation. Group feature with given index.""" def forward(ctx, features: torch.Tensor, indices: torch.Tensor) -> torch.Tensor: """forward. Args: features (Tensor): (B, C, N) tensor of features to group. indices (Tensor): (B, npoint, nsample) the indicie...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GroupingOperation: """Grouping Operation. Group feature with given index.""" def forward(ctx, features: torch.Tensor, indices: torch.Tensor) -> torch.Tensor: """forward. Args: features (Tensor): (B, C, N) tensor of features to group. indices (Tensor): (B, npoint, nsample) the indicies of features...

the_stack_v2_python_sparse

gorilla3d/ops/group_points/group_points.py

SijanNeupane49/gorilla-3d

train

0

d2359edfc0d88f902cb790c8c5759b4fc4e8d50c

[ "if not issubclass(type(entity), Renderable_3D):\n raise TypeError('The entities added to a 3D layer must be 3D renderables.')\nif name not in self._Layer__entities.keys():\n self._Layer__entities[name] = entity\nelse:\n raise KeyError('An entity already exists with the name {}.'.format(name))", "if self...

<|body_start_0|> if not issubclass(type(entity), Renderable_3D): raise TypeError('The entities added to a 3D layer must be 3D renderables.') if name not in self._Layer__entities.keys(): self._Layer__entities[name] = entity else: raise KeyError('An entity alrea...

A layer specificly for 3D rendered entities (that inherit from "Renderable_3D"). Constructor: pygame.Surface surface -> The surface on which to render the layer Can be omitted if the layer is to be registered to a simulation (pygame.Surface((1, 1), pygame.SRCALPHA)) pygame.Color backgroundColour -> The background colou...

Layer_3D

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Layer_3D: """A layer specificly for 3D rendered entities (that inherit from "Renderable_3D"). Constructor: pygame.Surface surface -> The surface on which to render the layer Can be omitted if the layer is to be registered to a simulation (pygame.Surface((1, 1), pygame.SRCALPHA)) pygame.Color back...

stack_v2_sparse_classes_75kplus_train_006167

12,253

no_license

[ { "docstring": "Registers a new Renderable_3D entity with the simulation. Paramiters: str name -> The name the new entity should be registered with Renderable_3D entity -> The entity to register", "name": "addEntity", "signature": "def addEntity(self, name: str, entity: Renderable_3D)" }, { "doc...

2

stack_v2_sparse_classes_30k_train_034927

Implement the Python class `Layer_3D` described below. Class description: A layer specificly for 3D rendered entities (that inherit from "Renderable_3D"). Constructor: pygame.Surface surface -> The surface on which to render the layer Can be omitted if the layer is to be registered to a simulation (pygame.Surface((1, ...

9a250ca7a9fb81f7e03b06f14a40e360ec2cbcfd

<|skeleton|> class Layer_3D: """A layer specificly for 3D rendered entities (that inherit from "Renderable_3D"). Constructor: pygame.Surface surface -> The surface on which to render the layer Can be omitted if the layer is to be registered to a simulation (pygame.Surface((1, 1), pygame.SRCALPHA)) pygame.Color back...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Layer_3D: """A layer specificly for 3D rendered entities (that inherit from "Renderable_3D"). Constructor: pygame.Surface surface -> The surface on which to render the layer Can be omitted if the layer is to be registered to a simulation (pygame.Surface((1, 1), pygame.SRCALPHA)) pygame.Color backgroundColour ...

the_stack_v2_python_sparse

simulation/layer.py

QuasarX1/Phys205Project

train

1

f26511ab31383a6139ce94571990035a9f80aa4e

[ "seen = set()\nq = collections.deque([s])\nwhile q:\n s = q.popleft()\n for word in wordDict:\n if s.startswith(word):\n new_s = s[len(word):]\n if new_s == '':\n return True\n if new_s not in seen:\n q.append(new_s)\n seen.a...

<|body_start_0|> seen = set() q = collections.deque([s]) while q: s = q.popleft() for word in wordDict: if s.startswith(word): new_s = s[len(word):] if new_s == '': return True ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006168

972

no_license

[ { "docstring": "iterative", "name": "wordBreak", "signature": "def wordBreak(self, s: str, wordDict: list[str]) -> bool" }, { "docstring": "DP programming", "name": "wordBreak", "signature": "def wordBreak(self, s: str, wordDict: list[str]) -> bool" } ]

2

stack_v2_sparse_classes_30k_train_021918

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordBreak(self, s: str, wordDict: list[str]) -> bool: iterative - def wordBreak(self, s: str, wordDict: list[str]) -> bool: DP programming

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordBreak(self, s: str, wordDict: list[str]) -> bool: iterative - def wordBreak(self, s: str, wordDict: list[str]) -> bool: DP programming <|skeleton|> class Solution: ...

e50dc0642f087f37ab3234390be3d8a0ed48fe62

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def wordBreak(self, s: str, wordDict: list[str]) -> bool: """iterative""" seen = set() q = collections.deque([s]) while q: s = q.popleft() for word in wordDict: if s.startswith(word): new_s = s[len(word):] ...

the_stack_v2_python_sparse

Leetcode/139. Word Break.py

brlala/Educative-Grokking-Coding-Exercise

train

3

79c8760e51df507aec4b9dbff75429ee8306eeaf

[ "self.k = k\nself.heapque = []\nself.heapque = [i for i in nums[:k]]\nheapq.heapify(self.heapque)\nif nums[k:]:\n for i in nums[k:]:\n if i > self.heapque[0]:\n heapq.heappop(self.heapque)\n heapq.heappush(self.heapque, i)", "if len(self.heapque) < self.k:\n heapq.heappush(self....

<|body_start_0|> self.k = k self.heapque = [] self.heapque = [i for i in nums[:k]] heapq.heapify(self.heapque) if nums[k:]: for i in nums[k:]: if i > self.heapque[0]: heapq.heappop(self.heapque) heapq.heappush(se...

KthLargest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006169

5,863

no_license

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

2

stack_v2_sparse_classes_30k_train_023955

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

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

f2621cd76822a922c49b60f32931f26cce1c571d

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class KthLargest: def __init__(self, k: int, nums: List[int]): """:type k: int :type nums: List[int]""" self.k = k self.heapque = [] self.heapque = [i for i in nums[:k]] heapq.heapify(self.heapque) if nums[k:]: for i in nums[k:]: if i > sel...

the_stack_v2_python_sparse

Heap/005_leetcode_P_703_Kth_LargestElementInAStream/Solution.py

Keshav1506/competitive_programming

train

0

c24e73a31314548db5a406462ebf7dba7e3d6bc7

[ "result = commands.getstatusoutput('svn info %s' % directory)\nif result[0] > 0:\n raise SuitcaseVcsError(\"Can't find svn version for %s (%s)\\nCommand exited with error (%s), %s\" % (directory, os.getcwd(), result[0], result[1]))\nelse:\n match = re.search('^URL: (.*?)$', result[1], re.M)\n if match is N...

<|body_start_0|> result = commands.getstatusoutput('svn info %s' % directory) if result[0] > 0: raise SuitcaseVcsError("Can't find svn version for %s (%s)\nCommand exited with error (%s), %s" % (directory, os.getcwd(), result[0], result[1])) else: match = re.search('^URL:...

Class interface to subversion

Subversion

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Subversion: """Class interface to subversion""" def get_remote_branch_location(self, directory): """Works out the URL of remote branch""" <|body_0|> def get_directory_revision(self, directory): """Works out the revno for a path by querying the remote repo""" ...

stack_v2_sparse_classes_75kplus_train_006170

1,912

permissive

[ { "docstring": "Works out the URL of remote branch", "name": "get_remote_branch_location", "signature": "def get_remote_branch_location(self, directory)" }, { "docstring": "Works out the revno for a path by querying the remote repo", "name": "get_directory_revision", "signature": "def ge...

2

stack_v2_sparse_classes_30k_train_032525

Implement the Python class `Subversion` described below. Class description: Class interface to subversion Method signatures and docstrings: - def get_remote_branch_location(self, directory): Works out the URL of remote branch - def get_directory_revision(self, directory): Works out the revno for a path by querying th...

2a0eb274ffccd3692ba4659cbb0010d0725f2b20

<|skeleton|> class Subversion: """Class interface to subversion""" def get_remote_branch_location(self, directory): """Works out the URL of remote branch""" <|body_0|> def get_directory_revision(self, directory): """Works out the revno for a path by querying the remote repo""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Subversion: """Class interface to subversion""" def get_remote_branch_location(self, directory): """Works out the URL of remote branch""" result = commands.getstatusoutput('svn info %s' % directory) if result[0] > 0: raise SuitcaseVcsError("Can't find svn version for %...

the_stack_v2_python_sparse

suitcase/vcs/subversion.py

brosner/suitcaseproject

train

0

a5fdf182d391ef1b00713fabb23dc8abbc048892

[ "resp = get_model_list_method(*get_method_args, **get_method_kwargs)\nif not resp.ok:\n raise DatasetGeneratorError('Request for list of {0} during data-driven-test setup failed with an HTTP {1} ERROR'.format(model_type_name, resp.status_code))\nif resp.entity is None:\n raise DatasetGeneratorError('Unable to...

<|body_start_0|> resp = get_model_list_method(*get_method_args, **get_method_kwargs) if not resp.ok: raise DatasetGeneratorError('Request for list of {0} during data-driven-test setup failed with an HTTP {1} ERROR'.format(model_type_name, resp.status_code)) if resp.entity is None: ...

Collection of dataset generators and helper methods for developing data driven tests

ModelBasedDatasetToolkit

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ModelBasedDatasetToolkit: """Collection of dataset generators and helper methods for developing data driven tests""" def _get_model_list(cls, get_model_list_method, model_type_name, *get_method_args, **get_method_kwargs): """Gets list of all models in the environment.""" <|bo...

stack_v2_sparse_classes_75kplus_train_006171

3,872

permissive

[ { "docstring": "Gets list of all models in the environment.", "name": "_get_model_list", "signature": "def _get_model_list(cls, get_model_list_method, model_type_name, *get_method_args, **get_method_kwargs)" }, { "docstring": "Filters should be dictionaries with model attributes as keys and list...

3

stack_v2_sparse_classes_30k_train_035366

Implement the Python class `ModelBasedDatasetToolkit` described below. Class description: Collection of dataset generators and helper methods for developing data driven tests Method signatures and docstrings: - def _get_model_list(cls, get_model_list_method, model_type_name, *get_method_args, **get_method_kwargs): Ge...

7d49cf6bfd7e1a6e5b739e7de52f2e18e5ccf924

<|skeleton|> class ModelBasedDatasetToolkit: """Collection of dataset generators and helper methods for developing data driven tests""" def _get_model_list(cls, get_model_list_method, model_type_name, *get_method_args, **get_method_kwargs): """Gets list of all models in the environment.""" <|bo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ModelBasedDatasetToolkit: """Collection of dataset generators and helper methods for developing data driven tests""" def _get_model_list(cls, get_model_list_method, model_type_name, *get_method_args, **get_method_kwargs): """Gets list of all models in the environment.""" resp = get_model_...

the_stack_v2_python_sparse

cloudcafe/common/datasets.py

kurhula/cloudcafe

train

0

78edf8a1c884cdff7d1cc499dbb056689aeec205

[ "object_id = request.GET.get('project_id', None)\nis_view_editing_data = request.GET.get('view_editing_data', False)\npreview_url = u'/termite2/webapp_page/?project_id={}&woid={}'.format(object_id, request.user.id)\nif is_view_editing_data:\n preview_url += '&page_id=preview'\npage_title = pagecreater.get_site_t...

<|body_start_0|> object_id = request.GET.get('project_id', None) is_view_editing_data = request.GET.get('view_editing_data', False) preview_url = u'/termite2/webapp_page/?project_id={}&woid={}'.format(object_id, request.user.id) if is_view_editing_data: preview_url += '&page_...

预览

TermitePreview

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006172

2,848

no_license

[ { "docstring": "预览", "name": "get", "signature": "def get(request)" }, { "docstring": "预览", "name": "api_put", "signature": "def api_put(request)" } ]

2

stack_v2_sparse_classes_30k_train_046322

Implement the Python class `TermitePreview` described below. Class description: 预览 Method signatures and docstrings: - def get(request): 预览 - def api_put(request): 预览

Implement the Python class `TermitePreview` described below. Class description: 预览 Method signatures and docstrings: - def get(request): 预览 - def api_put(request): 预览 <|skeleton|> class TermitePreview: """预览""" def get(request): """预览""" <|body_0|> def api_put(request): """预览"""...

8b2f7befe92841bcc35e0e60cac5958ef3f3af54

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TermitePreview: """预览""" def get(request): """预览""" object_id = request.GET.get('project_id', None) is_view_editing_data = request.GET.get('view_editing_data', False) preview_url = u'/termite2/webapp_page/?project_id={}&woid={}'.format(object_id, request.user.id) i...

the_stack_v2_python_sparse

weapp/termite2/termite_preview.py

chengdg/weizoom

train

1

172123e56ba54fc8c4d0a801c18b0cff571083c1

[ "provider_url = self.provider_url\nif provider_url is None:\n return None\nreturn provider_url.replace('$1', metaidentifier)", "node = bioregistry_metaresource.term(self.prefix)\ngraph.add((node, RDF['type'], bioregistry_schema[self.__class__.__name__]))\ngraph.add((node, RDFS['label'], Literal(self.name)))\ng...

Metadata about a registry.

Registry

[ "MIT", "CC0-1.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Registry: """Metadata about a registry.""" def get_provider(self, metaidentifier: str) -> Optional[str]: """Get the provider string.""" <|body_0|> def add_triples(self, graph: rdflib.Graph) -> Node: """Add triples to an RDF graph for this registry.""" <|b...

stack_v2_sparse_classes_75kplus_train_006173

10,018

permissive

[ { "docstring": "Get the provider string.", "name": "get_provider", "signature": "def get_provider(self, metaidentifier: str) -> Optional[str]" }, { "docstring": "Add triples to an RDF graph for this registry.", "name": "add_triples", "signature": "def add_triples(self, graph: rdflib.Grap...

2

stack_v2_sparse_classes_30k_test_002019

Implement the Python class `Registry` described below. Class description: Metadata about a registry. Method signatures and docstrings: - def get_provider(self, metaidentifier: str) -> Optional[str]: Get the provider string. - def add_triples(self, graph: rdflib.Graph) -> Node: Add triples to an RDF graph for this reg...

ff20ca569958eec19ed23bc67c0485663e67ebd9

<|skeleton|> class Registry: """Metadata about a registry.""" def get_provider(self, metaidentifier: str) -> Optional[str]: """Get the provider string.""" <|body_0|> def add_triples(self, graph: rdflib.Graph) -> Node: """Add triples to an RDF graph for this registry.""" <|b...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Registry: """Metadata about a registry.""" def get_provider(self, metaidentifier: str) -> Optional[str]: """Get the provider string.""" provider_url = self.provider_url if provider_url is None: return None return provider_url.replace('$1', metaidentifier) ...

the_stack_v2_python_sparse

src/bioregistry/schema/struct.py

polyneme/bioregistry

train

0

9f4575256762219e9f0edaec801958bb09904ac6

[ "driver = self.base_driver\ndriver.sleep(3)\ndriver.switch_to_frame('x,//*[@id =\"jquery-interactive-alert\"]/table/tbody/tr[2]/td[2]/div/div/div[4]/div/iframe')\ndriver.sleep(4)\nself.login_text = driver.get_text('x,//*[@id=\"phone_login_1\"]')\ndriver.type('p_name', '13823218582')\ndriver.click('x,//*[@id=\"am\"]...

<|body_start_0|> driver = self.base_driver driver.sleep(3) driver.switch_to_frame('x,//*[@id ="jquery-interactive-alert"]/table/tbody/tr[2]/td[2]/div/div/div[4]/div/iframe') driver.sleep(4) self.login_text = driver.get_text('x,//*[@id="phone_login_1"]') driver.type('p_nam...

ShopAfterLogin

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ShopAfterLogin: def shop_num_login(self): """购买商品后短信验证登录""" <|body_0|> def shop_net_login(self): """购买商品后互联网验证登录""" <|body_1|> <|end_skeleton|> <|body_start_0|> driver = self.base_driver driver.sleep(3) driver.switch_to_frame('x,//*[...

stack_v2_sparse_classes_75kplus_train_006174

1,581

no_license

[ { "docstring": "购买商品后短信验证登录", "name": "shop_num_login", "signature": "def shop_num_login(self)" }, { "docstring": "购买商品后互联网验证登录", "name": "shop_net_login", "signature": "def shop_net_login(self)" } ]

2

stack_v2_sparse_classes_30k_train_035810

Implement the Python class `ShopAfterLogin` described below. Class description: Implement the ShopAfterLogin class. Method signatures and docstrings: - def shop_num_login(self): 购买商品后短信验证登录 - def shop_net_login(self): 购买商品后互联网验证登录

Implement the Python class `ShopAfterLogin` described below. Class description: Implement the ShopAfterLogin class. Method signatures and docstrings: - def shop_num_login(self): 购买商品后短信验证登录 - def shop_net_login(self): 购买商品后互联网验证登录 <|skeleton|> class ShopAfterLogin: def shop_num_login(self): """购买商品后短信验证...

b75bf1bdbf4ee14f0485d552ff2f382c7991821e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ShopAfterLogin: def shop_num_login(self): """购买商品后短信验证登录""" driver = self.base_driver driver.sleep(3) driver.switch_to_frame('x,//*[@id ="jquery-interactive-alert"]/table/tbody/tr[2]/td[2]/div/div/div[4]/div/iframe') driver.sleep(4) self.login_text = driver.get_...

the_stack_v2_python_sparse

nengkaiShop/page/after_login_page/shop_after_login.py

caixinshu/api

train

0

62da06083352717cd06395d00985dd6dcf9b2836

[ "pg.ModellingBase.__init__(self, verbose)\nself.nlay = nlay\nself.FOP1d = data.FOP(nlay)\nself.nx = len(data.x)\nself.nf = len(data.freq())\nself.mesh_ = pg.createMesh1D(self.nx, 2 * nlay - 1)\nself.setMesh(self.mesh_)", "modA = np.asarray(model).reshape((self.nlay * 2 - 1, self.nx)).T\nresp = pg.RVector(0)\nfor ...

<|body_start_0|> pg.ModellingBase.__init__(self, verbose) self.nlay = nlay self.FOP1d = data.FOP(nlay) self.nx = len(data.x) self.nf = len(data.freq()) self.mesh_ = pg.createMesh1D(self.nx, 2 * nlay - 1) self.setMesh(self.mesh_) <|end_body_0|> <|body_start_1|> ...

Old variant of 2D FOP (to be deleted).

FDEM2dFOPold

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006175

27,181

permissive

[ { "docstring": "constructor with data and (optionally) number of layers", "name": "__init__", "signature": "def __init__(self, data, nlay=2, verbose=False)" }, { "docstring": "Yields forward model response.", "name": "response", "signature": "def response(self, model)" } ]

2

stack_v2_sparse_classes_30k_train_037830

Implement the Python class `FDEM2dFOPold` described below. Class description: Old variant of 2D FOP (to be deleted). Method signatures and docstrings: - def __init__(self, data, nlay=2, verbose=False): constructor with data and (optionally) number of layers - def response(self, model): Yields forward model response.

Implement the Python class `FDEM2dFOPold` described below. Class description: Old variant of 2D FOP (to be deleted). Method signatures and docstrings: - def __init__(self, data, nlay=2, verbose=False): constructor with data and (optionally) number of layers - def response(self, model): Yields forward model response. ...

9962fe882fad284e52858ba3aa5e87b2395d791d

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FDEM2dFOPold: """Old variant of 2D FOP (to be deleted).""" def __init__(self, data, nlay=2, verbose=False): """constructor with data and (optionally) number of layers""" pg.ModellingBase.__init__(self, verbose) self.nlay = nlay self.FOP1d = data.FOP(nlay) self.nx =...

the_stack_v2_python_sparse

python/pygimli/physics/em/fdem.py

Geophysics-OpenSource/gimli

train

0

2f27f180076d85ede96ce548b4fe470e54cce54b

[ "pattern = 'data:(?P<mime>[\\\\w/]+);(?P<encoding>\\\\w+),(?P<data>.*)'\nm = re.search(pattern, data_uri)\nreturn (m.group('mime'), m.group('encoding'), m.group('data'))", "def file_size(f):\n f.seek(0, os.SEEK_END)\n return f.tell()\nfile_uri = bundle.data.get(file_field, None)\nif file_uri:\n content_t...

DataUriResourceMixin

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DataUriResourceMixin: def parse_data_uri(self, data_uri): """Parse a data URI string Returns a tuple of (mime_type, encoding, data) represented in the URI See http://tools.ietf.org/html/rfc2397""" <|body_0|> def _hydrate_file(self, bundle, file_model_class, file_field, filen...

stack_v2_sparse_classes_75kplus_train_006176

22,939

permissive

[ { "docstring": "Parse a data URI string Returns a tuple of (mime_type, encoding, data) represented in the URI See http://tools.ietf.org/html/rfc2397", "name": "parse_data_uri", "signature": "def parse_data_uri(self, data_uri)" }, { "docstring": "Decode the base-64 encoded file", "name": "_hy...

2

stack_v2_sparse_classes_30k_train_033346

Implement the Python class `DataUriResourceMixin` described below. Class description: Implement the DataUriResourceMixin class. Method signatures and docstrings: - def parse_data_uri(self, data_uri): Parse a data URI string Returns a tuple of (mime_type, encoding, data) represented in the URI See http://tools.ietf.or...

15e429df850b68ee107a9b8206adc44fe1174370

<|skeleton|> class DataUriResourceMixin: def parse_data_uri(self, data_uri): """Parse a data URI string Returns a tuple of (mime_type, encoding, data) represented in the URI See http://tools.ietf.org/html/rfc2397""" <|body_0|> def _hydrate_file(self, bundle, file_model_class, file_field, filen...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DataUriResourceMixin: def parse_data_uri(self, data_uri): """Parse a data URI string Returns a tuple of (mime_type, encoding, data) represented in the URI See http://tools.ietf.org/html/rfc2397""" pattern = 'data:(?P<mime>[\\w/]+);(?P<encoding>\\w+),(?P<data>.*)' m = re.search(pattern,...

the_stack_v2_python_sparse

apps/storybase/api/resources.py

denverfoundation/storybase

train

3

495ab6017d9190fdc4e604d4ee1cfa16f7bf5d67

[ "if not username:\n raise ValueError('Users must have an username.')\nuser = self.model(username=username)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user", "user = self.create_user(username=username, password=password)\nuser.is_admin = True\nuser.save(using=self._db)\nreturn user" ]

MyUserManager

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MyUserManager: def create_user(self, username, password=None): """Creates and saves a User with the given username and password.""" <|body_0|> def create_superuser(self, username, password): """Creates and saves a superuser with the given username and password.""" ...

stack_v2_sparse_classes_75kplus_train_006177

5,720

no_license

[ { "docstring": "Creates and saves a User with the given username and password.", "name": "create_user", "signature": "def create_user(self, username, password=None)" }, { "docstring": "Creates and saves a superuser with the given username and password.", "name": "create_superuser", "sign...

2

stack_v2_sparse_classes_30k_train_045095

Implement the Python class `MyUserManager` described below. Class description: Implement the MyUserManager class. Method signatures and docstrings: - def create_user(self, username, password=None): Creates and saves a User with the given username and password. - def create_superuser(self, username, password): Creates...

a92f30a77ad3ba9f97e916d2c0a355641c9397ba

<|skeleton|> class MyUserManager: def create_user(self, username, password=None): """Creates and saves a User with the given username and password.""" <|body_0|> def create_superuser(self, username, password): """Creates and saves a superuser with the given username and password.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MyUserManager: def create_user(self, username, password=None): """Creates and saves a User with the given username and password.""" if not username: raise ValueError('Users must have an username.') user = self.model(username=username) user.set_password(password) ...

the_stack_v2_python_sparse

app/models.py

nlattessi/inspt_tp_final_cpe

train

0

b5dba62868351a721c4982b464d83698f056cb19

[ "print(len(matrix))\nif len(matrix) == 0:\n return False\nfor row in range(len(matrix)):\n for col in range(len(matrix[row])):\n print('::', matrix[row][col])\n if matrix[row][col] == target:\n return True\nreturn False", "if not matrix or not matrix[0]:\n return False\nleft, rig...

<|body_start_0|> print(len(matrix)) if len(matrix) == 0: return False for row in range(len(matrix)): for col in range(len(matrix[row])): print('::', matrix[row][col]) if matrix[row][col] == target: return True re...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006178

1,800

no_license

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

2

stack_v2_sparse_classes_30k_train_054591

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

786075e0f9f61cf062703bc0b41cc3191d77f033

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

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

the_stack_v2_python_sparse

search2DMatrix.py

Anirban2404/LeetCodePractice

train

1

1c2587e2e11a60265619963bdf60ef9e0b94f7ca

[ "import random\nimport string\ns = ''\nletterCount = random.randint(3, 5)\nnumberCount = random.randint(3, 5)\nsuffleCount = random.randint(1, 10)\nfor _ in range(letterCount):\n s += str(random.choice(string.ascii_letters))\nfor _ in range(numberCount):\n s += str(random.choice(string.digits))\nlt = list(s)\...

<|body_start_0|> import random import string s = '' letterCount = random.randint(3, 5) numberCount = random.randint(3, 5) suffleCount = random.randint(1, 10) for _ in range(letterCount): s += str(random.choice(string.ascii_letters)) for _ in ra...

Get the joincode, To join in a admin group

GetJoinCodeAPIView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GetJoinCodeAPIView: """Get the joincode, To join in a admin group""" def _generateUniqueJoinCode(self): """Get unique code""" <|body_0|> def get(self, request, *args, **kwargs): """didn't allow to generate newcode ,if a joincode is generated already Returns exist...

stack_v2_sparse_classes_75kplus_train_006179

15,595

permissive

[ { "docstring": "Get unique code", "name": "_generateUniqueJoinCode", "signature": "def _generateUniqueJoinCode(self)" }, { "docstring": "didn't allow to generate newcode ,if a joincode is generated already Returns existing joincode for the requested admin, if all codes were used for joining, gen...

2

stack_v2_sparse_classes_30k_train_008695

Implement the Python class `GetJoinCodeAPIView` described below. Class description: Get the joincode, To join in a admin group Method signatures and docstrings: - def _generateUniqueJoinCode(self): Get unique code - def get(self, request, *args, **kwargs): didn't allow to generate newcode ,if a joincode is generated ...

82820d93876a2c3e6caec2725b1c6078e79e3bfb

<|skeleton|> class GetJoinCodeAPIView: """Get the joincode, To join in a admin group""" def _generateUniqueJoinCode(self): """Get unique code""" <|body_0|> def get(self, request, *args, **kwargs): """didn't allow to generate newcode ,if a joincode is generated already Returns exist...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GetJoinCodeAPIView: """Get the joincode, To join in a admin group""" def _generateUniqueJoinCode(self): """Get unique code""" import random import string s = '' letterCount = random.randint(3, 5) numberCount = random.randint(3, 5) suffleCount = rand...

the_stack_v2_python_sparse

grocery/shopowner/views.py

DeepakDk04/bigbasketClone

train

0

ca63aac4d1f7230bf7b292ecf3e59f7ed20658f4

[ "self.scr = scr\nself.label = TextLabel(scr=self.scr, text=TEXT_MESSAGE, color=TEXT_COLOR, size=FONT_SIZE)\nself.label.rect.center = self.scr.get_rect().center", "self.scr.fill(SCREEN_COLOR)\nself.label.draw()\npygame.display.flip()" ]

LoadingScreen

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006180

851

permissive

[ { "docstring": "Input parameters: scr - Surface for drawing.", "name": "__init__", "signature": "def __init__(self, scr)" }, { "docstring": "Fills the specified surface with solid color and renders the text label with message.", "name": "draw", "signature": "def draw(self)" } ]

2

stack_v2_sparse_classes_30k_train_036720

Implement the Python class `LoadingScreen` described below. Class description: Implement the LoadingScreen class. Method signatures and docstrings: - def __init__(self, scr): Input parameters: scr - Surface for drawing. - def draw(self): Fills the specified surface with solid color and renders the text label with mes...

f15e9d609e763e70710cd3e0faea9a5a18dfd8a5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LoadingScreen: def __init__(self, scr): """Input parameters: scr - Surface for drawing.""" self.scr = scr self.label = TextLabel(scr=self.scr, text=TEXT_MESSAGE, color=TEXT_COLOR, size=FONT_SIZE) self.label.rect.center = self.scr.get_rect().center def draw(self): "...

the_stack_v2_python_sparse

loading_screen.py

ammydolphin/space_racer

train

0

7d7736a805a85aeef00b2cdda1a5dcc44d5669db

[ "try:\n logger.info('文件整理测试')\n self.login()\n result = self.file_arrangement()\n self.assertEqual(result, '保存成功！')\nexcept Exception as msg:\n logger.error(u'异常原因：%s' % msg)\n self.driver.get_screenshot_as_file(os.path.join(readconfig.screen_path, 'test_file_arrangement.png'))\n raise Exceptio...

<|body_start_0|> try: logger.info('文件整理测试') self.login() result = self.file_arrangement() self.assertEqual(result, '保存成功！') except Exception as msg: logger.error(u'异常原因：%s' % msg) self.driver.get_screenshot_as_file(os.path.join(read...

硬盘管理测试

DiskManagementTest

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006181

2,563

no_license

[ { "docstring": "文件整理测试", "name": "test2_file_arrangement", "signature": "def test2_file_arrangement(self)" }, { "docstring": "辅助软件上传测试", "name": "test3_software_upload", "signature": "def test3_software_upload(self)" }, { "docstring": "硬盘格式化测试", "name": "test4_disk_format", ...

3

null

Implement the Python class `DiskManagementTest` described below. Class description: 硬盘管理测试 Method signatures and docstrings: - def test2_file_arrangement(self): 文件整理测试 - def test3_software_upload(self): 辅助软件上传测试 - def test4_disk_format(self): 硬盘格式化测试

Implement the Python class `DiskManagementTest` described below. Class description: 硬盘管理测试 Method signatures and docstrings: - def test2_file_arrangement(self): 文件整理测试 - def test3_software_upload(self): 辅助软件上传测试 - def test4_disk_format(self): 硬盘格式化测试 <|skeleton|> class DiskManagementTest: """硬盘管理测试""" def t...

fd552eeb47fd4838c2c5caef4deea7480ab75ce9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DiskManagementTest: """硬盘管理测试""" def test2_file_arrangement(self): """文件整理测试""" try: logger.info('文件整理测试') self.login() result = self.file_arrangement() self.assertEqual(result, '保存成功！') except Exception as msg: logger.er...

the_stack_v2_python_sparse

test_case/A002_disk_management_test.py

luhuifnag/AVA_UIauto_test

train

0

90d64461fb873f406b049cf93a3b51fd3485af29

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

MapServicer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MapServicer: def GetRoadNetwork(self, request, context): """Returns the road network structure of the current scene. Large response, call only once.""" <|body_0|> def ToRoadPoint(self, request, context): """Converts from world coordinates to road coordinates.""" ...

stack_v2_sparse_classes_75kplus_train_006182

5,232

no_license

[ { "docstring": "Returns the road network structure of the current scene. Large response, call only once.", "name": "GetRoadNetwork", "signature": "def GetRoadNetwork(self, request, context)" }, { "docstring": "Converts from world coordinates to road coordinates.", "name": "ToRoadPoint", ...

5

stack_v2_sparse_classes_30k_train_047154

Implement the Python class `MapServicer` described below. Class description: Implement the MapServicer class. Method signatures and docstrings: - def GetRoadNetwork(self, request, context): Returns the road network structure of the current scene. Large response, call only once. - def ToRoadPoint(self, request, contex...

090b9bd6af1fdf012afc4b7cc19c3c80e4651dba

<|skeleton|> class MapServicer: def GetRoadNetwork(self, request, context): """Returns the road network structure of the current scene. Large response, call only once.""" <|body_0|> def ToRoadPoint(self, request, context): """Converts from world coordinates to road coordinates.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MapServicer: def GetRoadNetwork(self, request, context): """Returns the road network structure of the current scene. Large response, call only once.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Meth...

the_stack_v2_python_sparse

NativeAPI/Native-API/Tools/DataConversion/python/metamoto/services/map_pb2_grpc.py

Huzefa-Kagalwala/OpenCAV-Metamoto

train

0

c33383580f7ddf7a92122fc8650d60b05dfcbfd6

[ "discrete_space, continuous_space = env.action_space.spaces\nassert isinstance(continuous_space, spaces.Box) or isinstance(continuous_space, spaces.Tuple), 'expected Box or Tuple for continuous action space, got {}'.format(type(continuous_space))\nsuper().__init__(env)\nself.low = np.zeros(continuous_space.shape, d...

<|body_start_0|> discrete_space, continuous_space = env.action_space.spaces assert isinstance(continuous_space, spaces.Box) or isinstance(continuous_space, spaces.Tuple), 'expected Box or Tuple for continuous action space, got {}'.format(type(continuous_space)) super().__init__(env) self...

Rescales the continuous actions of a parameterized action space.

RescaleParameterizedAction

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RescaleParameterizedAction: """Rescales the continuous actions of a parameterized action space.""" def __init__(self, env: Env, low: float, high: float): """Rescales the continuous actions of the parameterized action space to have the low and high given. Args: env: The environment wi...

stack_v2_sparse_classes_75kplus_train_006183

3,671

permissive

[ { "docstring": "Rescales the continuous actions of the parameterized action space to have the low and high given. Args: env: The environment with the action space to wrap. low: The infinum of the action space. hi gh: The suprenum of the action space.", "name": "__init__", "signature": "def __init__(self...

3

stack_v2_sparse_classes_30k_train_001931

Implement the Python class `RescaleParameterizedAction` described below. Class description: Rescales the continuous actions of a parameterized action space. Method signatures and docstrings: - def __init__(self, env: Env, low: float, high: float): Rescales the continuous actions of the parameterized action space to h...

cde3be1c69bfd76fe4a78fa529e851d0a78318c7

<|skeleton|> class RescaleParameterizedAction: """Rescales the continuous actions of a parameterized action space.""" def __init__(self, env: Env, low: float, high: float): """Rescales the continuous actions of the parameterized action space to have the low and high given. Args: env: The environment wi...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RescaleParameterizedAction: """Rescales the continuous actions of a parameterized action space.""" def __init__(self, env: Env, low: float, high: float): """Rescales the continuous actions of the parameterized action space to have the low and high given. Args: env: The environment with the action...

the_stack_v2_python_sparse

hlrl/core/envs/gym/wrappers/rescale_parameterized_action.py

Chainso/HLRL

train

3

96a7120c90af2788b912cda750837aee6100caaa

[ "self.letters = 400\nself.d = 55\nself.w = np.zeros((self.d + 1, self.letters))\nself.g = np.zeros((self.letters, self.letters))\nself.alphabet = list('abcdefghijklmnopqrstuvwxyz')", "weights = self.w\nL = word.shape[1]\nF = np.zeros((self.letters, L))\nGF_id = np.zeros((self.letters, L)).astype(int)\nprediction ...

LinearStructuredOutputClassifier

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LinearStructuredOutputClassifier: def __init__(self): """Defines number of classes (self.letters) and number of fetures (self.d)""" <|body_0|> def predict(self, word): """Predicts letter. Makes dot prouct of input feature vector x with all columns of matrix w. Than a...

stack_v2_sparse_classes_75kplus_train_006184

8,369

permissive

[ { "docstring": "Defines number of classes (self.letters) and number of fetures (self.d)", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Predicts letter. Makes dot prouct of input feature vector x with all columns of matrix w. Than argmax selects highest value from dot ...

6

stack_v2_sparse_classes_30k_train_047201

Implement the Python class `LinearStructuredOutputClassifier` described below. Class description: Implement the LinearStructuredOutputClassifier class. Method signatures and docstrings: - def __init__(self): Defines number of classes (self.letters) and number of fetures (self.d) - def predict(self, word): Predicts le...

016fd81df6fb56019c9a48ec6d904da119e5d3d4

<|skeleton|> class LinearStructuredOutputClassifier: def __init__(self): """Defines number of classes (self.letters) and number of fetures (self.d)""" <|body_0|> def predict(self, word): """Predicts letter. Makes dot prouct of input feature vector x with all columns of matrix w. Than a...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LinearStructuredOutputClassifier: def __init__(self): """Defines number of classes (self.letters) and number of fetures (self.d)""" self.letters = 400 self.d = 55 self.w = np.zeros((self.d + 1, self.letters)) self.g = np.zeros((self.letters, self.letters)) self....

the_stack_v2_python_sparse

models/perceptron.py

lukoucky/swimming_pool_attendance_prediction

train

0

90a15fcf268132f139a85f2c8c95b44850af0f8d

[ "execution_result = self.drop_token_game.start()\ncomparison_error = self.cli_execution_validator.get_execution_result_comparison_error(execution_result, self.ExpectedCommandOutcomes.ProgramStart())\nif comparison_error:\n self.fail(comparison_error)", "self.drop_token_game.start()\nvalid_column = 1\nexecution...

<|body_start_0|> execution_result = self.drop_token_game.start() comparison_error = self.cli_execution_validator.get_execution_result_comparison_error(execution_result, self.ExpectedCommandOutcomes.ProgramStart()) if comparison_error: self.fail(comparison_error) <|end_body_0|> <|bod...

SmokeTests

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006185

3,110

no_license

[ { "docstring": "@test Program starts without Error", "name": "test_smoke_0001", "signature": "def test_smoke_0001(self)" }, { "docstring": "@test Program returns appropriate output with input - PUT X (in bounds)", "name": "test_smoke_0002", "signature": "def test_smoke_0002(self)" }, ...

6

stack_v2_sparse_classes_30k_train_040124

Implement the Python class `SmokeTests` described below. Class description: Implement the SmokeTests class. Method signatures and docstrings: - def test_smoke_0001(self): @test Program starts without Error - def test_smoke_0002(self): @test Program returns appropriate output with input - PUT X (in bounds) - def test_...

79cd85649e60ca6a4a731966ab434060d49fe110

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SmokeTests: def test_smoke_0001(self): """@test Program starts without Error""" execution_result = self.drop_token_game.start() comparison_error = self.cli_execution_validator.get_execution_result_comparison_error(execution_result, self.ExpectedCommandOutcomes.ProgramStart()) i...

the_stack_v2_python_sparse

src/e2e_tests/smoke_tests.py

wmaxlloyd/9dt-e2e-test-framework

train

0

7d35545b6372aec057a4a78c9d8a50f8c8eacd90

[ "try:\n BinarySearchTree()\nexcept:\n self.fail('Error while constructing a BinarySearchTree')", "itemcount = 26\nitems = []\nfor i in range(itemcount):\n items.append((i, chr(ord('a') + i)))\nrandom.shuffle(items)\nbintree = BinarySearchTree()\nfor key, value in items:\n bintree[key] = value\nself.as...

TestProblem5

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006186

11,207

no_license

[ { "docstring": "P5: Sanity Test: Is BinarySearchTree constructable?", "name": "test_API", "signature": "def test_API(self)" }, { "docstring": "P5: Can items be stored and retrieved from the BinarySearchTree?", "name": "test_storeAndLoad", "signature": "def test_storeAndLoad(self)" }, ...

3

stack_v2_sparse_classes_30k_train_012433

Implement the Python class `TestProblem5` described below. Class description: Implement the TestProblem5 class. Method signatures and docstrings: - def test_API(self): P5: Sanity Test: Is BinarySearchTree constructable? - def test_storeAndLoad(self): P5: Can items be stored and retrieved from the BinarySearchTree? - ...

d4f32507a5f581ad8ee0ce84e6cd92daac0941d7

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestProblem5: def test_API(self): """P5: Sanity Test: Is BinarySearchTree constructable?""" try: BinarySearchTree() except: self.fail('Error while constructing a BinarySearchTree') def test_storeAndLoad(self): """P5: Can items be stored and retrieve...

the_stack_v2_python_sparse

Homework5/hw5_test.py

pillowfication/ECS-32B

train

1

ad62afe12fac08f8f15d5e451be6d1e5124370b7

[ "Block.__init__(self, scenario, args)\nif self.language is None:\n raise LoadingException('Language must be defined!')\nself.lexicon = Lexicon()", "if tnode.gram_verbmod != 'cdn' or re.search('(aby|kdyby)', tnode.formeme):\n return\naconj = tnode.get_deref_attr('wild/conjugated')\nif aconj.afun == 'AuxV':\n...

Add conditional auxiliary 'by'/'bych'. Arguments: language: the language of the target tree selector: the selector of the target tree

AddAuxVerbConditional

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AddAuxVerbConditional: """Add conditional auxiliary 'by'/'bych'. Arguments: language: the language of the target tree selector: the selector of the target tree""" def __init__(self, scenario, args): """Constructor, just checking the argument values""" <|body_0|> def proc...

stack_v2_sparse_classes_75kplus_train_006187

1,984

permissive

[ { "docstring": "Constructor, just checking the argument values", "name": "__init__", "signature": "def __init__(self, scenario, args)" }, { "docstring": "Add conditional auxiliary to a node, where appropriate.", "name": "process_tnode", "signature": "def process_tnode(self, tnode)" } ]

2

stack_v2_sparse_classes_30k_train_039850

Implement the Python class `AddAuxVerbConditional` described below. Class description: Add conditional auxiliary 'by'/'bych'. Arguments: language: the language of the target tree selector: the selector of the target tree Method signatures and docstrings: - def __init__(self, scenario, args): Constructor, just checkin...

73af644ec35c8a1cd0c37cd478c2afc1db717e0b

<|skeleton|> class AddAuxVerbConditional: """Add conditional auxiliary 'by'/'bych'. Arguments: language: the language of the target tree selector: the selector of the target tree""" def __init__(self, scenario, args): """Constructor, just checking the argument values""" <|body_0|> def proc...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AddAuxVerbConditional: """Add conditional auxiliary 'by'/'bych'. Arguments: language: the language of the target tree selector: the selector of the target tree""" def __init__(self, scenario, args): """Constructor, just checking the argument values""" Block.__init__(self, scenario, args) ...

the_stack_v2_python_sparse

alex/components/nlg/tectotpl/block/t2a/cs/addauxverbconditional.py

oplatek/alex

train

0

a9eab2ef4b94851019af2eb8818ad7dd47e983e0

[ "try:\n all_notifications = Notification.query.filter(Notification.owner_id == user_id).order_by(Notification.timestamp.desc()).all()\nexcept:\n return make_response(jsonify({'error': 'Database Connection Problem'}), 500)\ntry:\n related_users = {}\n for notification in all_notifications:\n relat...

<|body_start_0|> try: all_notifications = Notification.query.filter(Notification.owner_id == user_id).order_by(Notification.timestamp.desc()).all() except: return make_response(jsonify({'error': 'Database Connection Problem'}), 500) try: related_users = {} ...

NotificationAPI

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006188

22,916

no_license

[ { "docstring": "Returns all notifications of the logged in user with related user lists", "name": "get", "signature": "def get(user_id, self)" }, { "docstring": "Updates the Notification Status Information", "name": "post", "signature": "def post(user_id, self)" }, { "docstring":...

3

stack_v2_sparse_classes_30k_train_030270

Implement the Python class `NotificationAPI` described below. Class description: Implement the NotificationAPI class. Method signatures and docstrings: - def get(user_id, self): Returns all notifications of the logged in user with related user lists - def post(user_id, self): Updates the Notification Status Informati...

f7aebee17a0a79e8d3c2927733bce8015b4a9da3

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NotificationAPI: def get(user_id, self): """Returns all notifications of the logged in user with related user lists""" try: all_notifications = Notification.query.filter(Notification.owner_id == user_id).order_by(Notification.timestamp.desc()).all() except: retu...

the_stack_v2_python_sparse

platon/backend/app/profile_management/views.py

bounswe/bounswe2020group7

train

18

3b333606eedf1ce4f3e68ebcca21ac6f5444e1f9

[ "super(CRB, self).__init__()\nself.InChan = InChannel\nself.InterCh = InterChannel\nself.OutChan = OutChannel\nself.ConvB = nn.ModuleList()\nif self.InChan != self.OutChan:\n self.trans = nn.Sequential(*[nn.Conv2d(self.InChan, self.OutChan, kSize, padding=(kSize - 1) // 2, stride=1), nn.ReLU()])\nself.ConvB = nn...

<|body_start_0|> super(CRB, self).__init__() self.InChan = InChannel self.InterCh = InterChannel self.OutChan = OutChannel self.ConvB = nn.ModuleList() if self.InChan != self.OutChan: self.trans = nn.Sequential(*[nn.Conv2d(self.InChan, self.OutChan, kSize, pad...

Construct the residual block for JDDNET.

CRB

[ "MIT", "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CRB: """Construct the residual block for JDDNET.""" def __init__(self, InChannel, InterChannel, OutChannel, kSize=3): """Initialize Block. :param InChannel: the channel number of input :type InChannel: int :param InterChannel: the channel number of interlayer :type InterChannel: int ...

stack_v2_sparse_classes_75kplus_train_006189

6,597

permissive

[ { "docstring": "Initialize Block. :param InChannel: the channel number of input :type InChannel: int :param InterChannel: the channel number of interlayer :type InterChannel: int :param OutChannel: the channel number of output :type OutChannel: int :param kSize: the kernel size of convolution :type kSize: int",...

2

null

Implement the Python class `CRB` described below. Class description: Construct the residual block for JDDNET. Method signatures and docstrings: - def __init__(self, InChannel, InterChannel, OutChannel, kSize=3): Initialize Block. :param InChannel: the channel number of input :type InChannel: int :param InterChannel: ...

df51ed9c1d6dbde1deef63f2a037a369f8554406

<|skeleton|> class CRB: """Construct the residual block for JDDNET.""" def __init__(self, InChannel, InterChannel, OutChannel, kSize=3): """Initialize Block. :param InChannel: the channel number of input :type InChannel: int :param InterChannel: the channel number of interlayer :type InterChannel: int ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class CRB: """Construct the residual block for JDDNET.""" def __init__(self, InChannel, InterChannel, OutChannel, kSize=3): """Initialize Block. :param InChannel: the channel number of input :type InChannel: int :param InterChannel: the channel number of interlayer :type InterChannel: int :param OutCha...

the_stack_v2_python_sparse

built-in/TensorFlow/Research/cv/image_classification/Cars_for_TensorFlow/automl/vega/search_space/networks/pytorch/jddbodys/jdd_net.py

Huawei-Ascend/modelzoo

train

1

a69c132bd1b1fa468a8abb189844ac73080c36be

[ "if len(nums) <= 1:\n return False\nfor i in range(len(nums)):\n for j in range(len(nums)):\n if i is not j and nums[i] + nums[j] == target:\n return [i, j]", "if len(nums) <= 1:\n return False\nbuf_dict = {}\nfor i in range(len(nums)):\n if nums[i] in buf_dict:\n return [buf_...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006190

1,310

no_license

[ { "docstring": ":type nums: List[int] :type target: int :rtype: List[int]", "name": "twosum", "signature": "def twosum(self, nums, target)" }, { "docstring": ":type nums: List[int] :type target: int :rtype: List[int]", "name": "twosum_hash", "signature": "def twosum_hash(self, nums, targ...

3

stack_v2_sparse_classes_30k_train_054713

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

326d2656b2f852f64c43ab4932ebd0819ae6d5b9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def twosum(self, nums, target): """:type nums: List[int] :type target: int :rtype: List[int]""" if len(nums) <= 1: return False for i in range(len(nums)): for j in range(len(nums)): if i is not j and nums[i] + nums[j] == target: ...

the_stack_v2_python_sparse

LeetCode/LeetCode_1.py

No1CharlesWu/Python

train

0

3119ec891683e72a49046e7cff5463760b8e7a7e

[ "profiles = Profile.objects.all()\nserializer = ProfileCreateSerializer(profiles, many=True)\nreturn Response(serializer.data)", "serializer = ProfileCreateSerializer(data=request.data)\nif serializer.is_valid(raise_exception=ValueError):\n serializer.save()\n return Response(serializer.data, status=status....

A class based view for creating and fetching student records

ProfileCreateAPIView

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProfileCreateAPIView: """A class based view for creating and fetching student records""" def get(self, format: object=None) -> object: """Get all the student records :param format: Format of the student records to return to :return: Returns a list of student records""" <|body...

stack_v2_sparse_classes_75kplus_train_006191

8,136

no_license

[ { "docstring": "Get all the student records :param format: Format of the student records to return to :return: Returns a list of student records", "name": "get", "signature": "def get(self, format: object=None) -> object" }, { "docstring": "Create a student record :param format: Format of the st...

2

stack_v2_sparse_classes_30k_train_025685

Implement the Python class `ProfileCreateAPIView` described below. Class description: A class based view for creating and fetching student records Method signatures and docstrings: - def get(self, format: object=None) -> object: Get all the student records :param format: Format of the student records to return to :re...

42e42cbd9b7dbcaed38109b7373735ff110900a3

<|skeleton|> class ProfileCreateAPIView: """A class based view for creating and fetching student records""" def get(self, format: object=None) -> object: """Get all the student records :param format: Format of the student records to return to :return: Returns a list of student records""" <|body...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ProfileCreateAPIView: """A class based view for creating and fetching student records""" def get(self, format: object=None) -> object: """Get all the student records :param format: Format of the student records to return to :return: Returns a list of student records""" profiles = Profile....

the_stack_v2_python_sparse

UserRegistrationApp/views.py

HishamDigitalHub/SportActivities

train

0

537a597a73ab20be3d40a94295bc5c7548214eed

[ "self.snmp_object = snmp_object\nself.test_oid = test_oid\nself.tags = tags", "validity = False\nif self.snmp_object.oid_exists(self.test_oid) is True:\n validity = True\nreturn validity" ]

Base snmp query object. Args: None Returns: None Key Methods: supported: Queries the device to determine whether the MIB is supported using a known OID defined in the MIB. Returns True if the device returns a response to the OID, False if not. layer1: Returns all needed layer 1 MIB information from the device. Keyed by...

Query

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Query: """Base snmp query object. Args: None Returns: None Key Methods: supported: Queries the device to determine whether the MIB is supported using a known OID defined in the MIB. Returns True if the device returns a response to the OID, False if not. layer1: Returns all needed layer 1 MIB info...

stack_v2_sparse_classes_75kplus_train_006192

1,527

permissive

[ { "docstring": "Function for intializing the class. Args: snmp_object: SNMP Interact class object from snmp_manager.py Returns: None", "name": "__init__", "signature": "def __init__(self, snmp_object, test_oid, tags)" }, { "docstring": "Return device's support for the MIB. Args: None Returns: va...

2

stack_v2_sparse_classes_30k_train_000361

Implement the Python class `Query` described below. Class description: Base snmp query object. Args: None Returns: None Key Methods: supported: Queries the device to determine whether the MIB is supported using a known OID defined in the MIB. Returns True if the device returns a response to the OID, False if not. laye...

ae82589fbbab77fef6d6be09c1fcca5846f595a8

<|skeleton|> class Query: """Base snmp query object. Args: None Returns: None Key Methods: supported: Queries the device to determine whether the MIB is supported using a known OID defined in the MIB. Returns True if the device returns a response to the OID, False if not. layer1: Returns all needed layer 1 MIB info...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Query: """Base snmp query object. Args: None Returns: None Key Methods: supported: Queries the device to determine whether the MIB is supported using a known OID defined in the MIB. Returns True if the device returns a response to the OID, False if not. layer1: Returns all needed layer 1 MIB information from ...

the_stack_v2_python_sparse

switchmap/snmp/base_query.py

PalisadoesFoundation/switchmap-ng

train

8

031f7932f060574d8950ad7bd22c64639b8b52c4

[ "fso = FastStochasticOscillator()\ntoday = pd.Timestamp('2015')\nassets = np.arange(3, dtype=np.float64)\nout = np.empty(shape=(3,), dtype=np.float64)\nhighs = np.full((50, 3), 3, dtype=np.float64)\nlows = np.full((50, 3), 2, dtype=np.float64)\ncloses = np.full((50, 3), 4, dtype=np.float64)\nfso.compute(today, asse...

<|body_start_0|> fso = FastStochasticOscillator() today = pd.Timestamp('2015') assets = np.arange(3, dtype=np.float64) out = np.empty(shape=(3,), dtype=np.float64) highs = np.full((50, 3), 3, dtype=np.float64) lows = np.full((50, 3), 2, dtype=np.float64) closes = ...

Test the Fast Stochastic Oscillator

TestFastStochasticOscillator

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestFastStochasticOscillator: """Test the Fast Stochastic Oscillator""" def test_fso_expected_basic(self): """Simple test of expected output from fast stochastic oscillator""" <|body_0|> def test_fso_expected_with_talib(self, seed): """Test the output that is ret...

stack_v2_sparse_classes_75kplus_train_006193

20,639

permissive

[ { "docstring": "Simple test of expected output from fast stochastic oscillator", "name": "test_fso_expected_basic", "signature": "def test_fso_expected_basic(self)" }, { "docstring": "Test the output that is returned from the fast stochastic oscillator is the same as that from the ta-lib STOCHF ...

2

stack_v2_sparse_classes_30k_train_035638

Implement the Python class `TestFastStochasticOscillator` described below. Class description: Test the Fast Stochastic Oscillator Method signatures and docstrings: - def test_fso_expected_basic(self): Simple test of expected output from fast stochastic oscillator - def test_fso_expected_with_talib(self, seed): Test t...

d08d1a9a343232e37d9e5767cae64af799067b45

<|skeleton|> class TestFastStochasticOscillator: """Test the Fast Stochastic Oscillator""" def test_fso_expected_basic(self): """Simple test of expected output from fast stochastic oscillator""" <|body_0|> def test_fso_expected_with_talib(self, seed): """Test the output that is ret...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestFastStochasticOscillator: """Test the Fast Stochastic Oscillator""" def test_fso_expected_basic(self): """Simple test of expected output from fast stochastic oscillator""" fso = FastStochasticOscillator() today = pd.Timestamp('2015') assets = np.arange(3, dtype=np.floa...

the_stack_v2_python_sparse

zipline/_tests/pipeline/test_technical.py

quantrocket-llc/zipline

train

17

c86220b90dfd2b29ae7e19c84b7ff0dc6030c0c8

[ "def countOnes(x: int) -> int:\n ones = 0\n while x > 0:\n x &= x - 1\n ones += 1\n return ones\nbits = [countOnes(i) for i in range(n + 1)]\nreturn bits", "bits = [0]\nfor i in range(1, n + 1):\n bits.append(bits[i >> 1] + (i & 1))\nreturn bits", "bits = [0]\nfor i in range(1, n + 1):...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def countBits(self, n: int) -> List[int]: """时间复杂度：O(nlogn) 空间复杂度：O(1)。除了返回的数组以外，空间复杂度为常数。""" <|body_0|> def countBits2(self, n: int) -> List[int]: """对于正整数 x，将其二进制表示右移一位，等价于将其二进制表示的最低位去掉，得到的数是[x/2]。如果bits[x/2] 的值已知，则可以得到bits[x] 的值：如果 x 是偶数，则 bits[x]=bits[...

stack_v2_sparse_classes_75kplus_train_006194

2,707

no_license

[ { "docstring": "时间复杂度：O(nlogn) 空间复杂度：O(1)。除了返回的数组以外，空间复杂度为常数。", "name": "countBits", "signature": "def countBits(self, n: int) -> List[int]" }, { "docstring": "对于正整数 x，将其二进制表示右移一位，等价于将其二进制表示的最低位去掉，得到的数是[x/2]。如果bits[x/2] 的值已知，则可以得到bits[x] 的值：如果 x 是偶数，则 bits[x]=bits[x/2]；如果 x 是奇数，则 bits[x]=bits[...

3

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def countBits(self, n: int) -> List[int]: 时间复杂度：O(nlogn) 空间复杂度：O(1)。除了返回的数组以外，空间复杂度为常数。 - def countBits2(self, n: int) -> List[int]: 对于正整数 x，将其二进制表示右移一位，等价于将其二进制表示的最低位去掉，得到的数是[x/...

c84ff6cda06ceb7cda7f828b5eb706031527e522

<|skeleton|> class Solution: def countBits(self, n: int) -> List[int]: """时间复杂度：O(nlogn) 空间复杂度：O(1)。除了返回的数组以外，空间复杂度为常数。""" <|body_0|> def countBits2(self, n: int) -> List[int]: """对于正整数 x，将其二进制表示右移一位，等价于将其二进制表示的最低位去掉，得到的数是[x/2]。如果bits[x/2] 的值已知，则可以得到bits[x] 的值：如果 x 是偶数，则 bits[x]=bits[...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def countBits(self, n: int) -> List[int]: """时间复杂度：O(nlogn) 空间复杂度：O(1)。除了返回的数组以外，空间复杂度为常数。""" def countOnes(x: int) -> int: ones = 0 while x > 0: x &= x - 1 ones += 1 return ones bits = [countOnes(i) for i in...

the_stack_v2_python_sparse

0338_counting-bits/solution.py

issone/leetcode

train

0

8dcc88ae6f9a10a3cade9ef76e2e530828f94955

[ "self.factory = RequestFactory()\nself.experiment = Experiment.objects.create(title='Ebola Outbreak', population_size=1000, vaccination_percent=0.98, virus_name='Ebola', mortality_chance=0.98, reproductive_rate=0.09, initial_infected=12)\nself.experiment.save()\nself.experiment.run_experiment()", "id = self.exper...

<|body_start_0|> self.factory = RequestFactory() self.experiment = Experiment.objects.create(title='Ebola Outbreak', population_size=1000, vaccination_percent=0.98, virus_name='Ebola', mortality_chance=0.98, reproductive_rate=0.09, initial_infected=12) self.experiment.save() self.experim...

A user sees in-depth information about the epidemic they simulated.

ExperimentDetailTests

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ExperimentDetailTests: """A user sees in-depth information about the epidemic they simulated.""" def setUp(self): """Instaniate RequestFactory and Experiment objects to use in tests.""" <|body_0|> def test_get_details_for_one_experiment(self): """Site visitor see...

stack_v2_sparse_classes_75kplus_train_006195

5,815

no_license

[ { "docstring": "Instaniate RequestFactory and Experiment objects to use in tests.", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Site visitor sees more nuanced data about an Experiment instance.", "name": "test_get_details_for_one_experiment", "signature": "def test...

2

stack_v2_sparse_classes_30k_train_026846

Implement the Python class `ExperimentDetailTests` described below. Class description: A user sees in-depth information about the epidemic they simulated. Method signatures and docstrings: - def setUp(self): Instaniate RequestFactory and Experiment objects to use in tests. - def test_get_details_for_one_experiment(se...

2699daaa6d7bfa4b6ea4e0fb0afa861e001fa8b0

<|skeleton|> class ExperimentDetailTests: """A user sees in-depth information about the epidemic they simulated.""" def setUp(self): """Instaniate RequestFactory and Experiment objects to use in tests.""" <|body_0|> def test_get_details_for_one_experiment(self): """Site visitor see...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ExperimentDetailTests: """A user sees in-depth information about the epidemic they simulated.""" def setUp(self): """Instaniate RequestFactory and Experiment objects to use in tests.""" self.factory = RequestFactory() self.experiment = Experiment.objects.create(title='Ebola Outbre...

the_stack_v2_python_sparse

web/simulator/tests.py

sprajjwal/assignment-herd-immunity

train

1

03342f279b1c5795a299311e18bcfdb8df1e37eb

[ "t0 = time.time()\nnoise = np.random.normal(0, params.noise_level)\nvalue = -1 * params.x ** 2 + 10 * params.x + noise\nt1 = time.time()\nreturn (float(value), t1 - t0)", "param_x, values_x = self.get_series_params(1)\nparam_iter, values_iter = self.get_series_params(0)\nif what == 'value':\n result_index = 0\...

In this experiment we will use series 0 to repeat the process (using different instantiations of the noise). We will use series 1 to vary the parameter x of which we want to know the optimum value.

TestExperiment

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestExperiment: """In this experiment we will use series 0 to repeat the process (using different instantiations of the noise). We will use series 1 to vary the parameter x of which we want to know the optimum value.""" def experiment(self, params): """experiment(params) Our magic bo...

stack_v2_sparse_classes_75kplus_train_006196

21,696

permissive

[ { "docstring": "experiment(params) Our magic box. Given params.x, it calculates a value. In a real experiment, this calculation may be unknown to us.", "name": "experiment", "signature": "def experiment(self, params)" }, { "docstring": "quantify_results(what) Make the results ready for presentat...

3

stack_v2_sparse_classes_30k_train_041272

Implement the Python class `TestExperiment` described below. Class description: In this experiment we will use series 0 to repeat the process (using different instantiations of the noise). We will use series 1 to vary the parameter x of which we want to know the optimum value. Method signatures and docstrings: - def ...

1647f8fd94aaf20350c972e0c405338ee841f8bf

<|skeleton|> class TestExperiment: """In this experiment we will use series 0 to repeat the process (using different instantiations of the noise). We will use series 1 to vary the parameter x of which we want to know the optimum value.""" def experiment(self, params): """experiment(params) Our magic bo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestExperiment: """In this experiment we will use series 0 to repeat the process (using different instantiations of the noise). We will use series 1 to vary the parameter x of which we want to know the optimum value.""" def experiment(self, params): """experiment(params) Our magic box. Given para...

the_stack_v2_python_sparse

pirt/experiment.py

almarklein/pirt

train

17

cb603965bb0b9eed8069c5f2c068d7d7053405ec

[ "dic_of_barcodes = {}\nif len(barcodes) < 3:\n return barcodes\nfor i in barcodes:\n if i not in dic_of_barcodes:\n dic_of_barcodes[i] = 1\n else:\n dic_of_barcodes[i] += 1\nkeys = list(dic_of_barcodes.keys())\nkeys = sorted(keys, key=lambda i: dic_of_barcodes[i], reverse=True)\nprint(keys)\n...

<|body_start_0|> dic_of_barcodes = {} if len(barcodes) < 3: return barcodes for i in barcodes: if i not in dic_of_barcodes: dic_of_barcodes[i] = 1 else: dic_of_barcodes[i] += 1 keys = list(dic_of_barcodes.keys()) ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_006197

1,932

no_license

[ { "docstring": ":type barcodes: List[int] :rtype: List[int]", "name": "rearrangeBarcodes", "signature": "def rearrangeBarcodes(self, barcodes)" }, { "docstring": ":type barcodes: List[int] :rtype: List[int]", "name": "rearrangeBarcodes2", "signature": "def rearrangeBarcodes2(self, barcod...

2

stack_v2_sparse_classes_30k_train_041411

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rearrangeBarcodes(self, barcodes): :type barcodes: List[int] :rtype: List[int] - def rearrangeBarcodes2(self, barcodes): :type barcodes: List[int] :rtype: List[int]

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def rearrangeBarcodes(self, barcodes): :type barcodes: List[int] :rtype: List[int] - def rearrangeBarcodes2(self, barcodes): :type barcodes: List[int] :rtype: List[int] <|skelet...

4105e18050b15fc0409c75353ad31be17187dd34

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def rearrangeBarcodes(self, barcodes): """:type barcodes: List[int] :rtype: List[int]""" dic_of_barcodes = {} if len(barcodes) < 3: return barcodes for i in barcodes: if i not in dic_of_barcodes: dic_of_barcodes[i] = 1 ...

the_stack_v2_python_sparse

rearrangeBarcodes.py

NeilWangziyu/Leetcode_py

train

2

ba558d64aeefa21daae8d5fa9813438c4bfa0f18

[ "super(fx.GraphModule, self).__init__()\nself.__class__.__name__ = class_name\nself.train_graph = train_graph\nself.eval_graph = eval_graph\nfor node in chain(iter(train_graph.nodes), iter(eval_graph.nodes)):\n if node.op in ['get_attr', 'call_module']:\n if not isinstance(node.target, str):\n ...

<|body_start_0|> super(fx.GraphModule, self).__init__() self.__class__.__name__ = class_name self.train_graph = train_graph self.eval_graph = eval_graph for node in chain(iter(train_graph.nodes), iter(eval_graph.nodes)): if node.op in ['get_attr', 'call_module']: ...

A derivative of `fx.GraphModule`. Differs in the following ways: - Requires a train and eval version of the underlying graph - Copies submodules according to the nodes of both train and eval graphs. - Calling train(mode) switches between train graph and eval graph.

DualGraphModule

[ "BSD-3-Clause", "CC-BY-NC-4.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DualGraphModule: """A derivative of `fx.GraphModule`. Differs in the following ways: - Requires a train and eval version of the underlying graph - Copies submodules according to the nodes of both train and eval graphs. - Calling train(mode) switches between train graph and eval graph.""" def...

stack_v2_sparse_classes_75kplus_train_006198

25,577

permissive

[ { "docstring": "Args: root (nn.Module): module from which the copied module hierarchy is built train_graph (fx.Graph): the graph that should be used in train mode eval_graph (fx.Graph): the graph that should be used in eval mode", "name": "__init__", "signature": "def __init__(self, root: torch.nn.Modul...

2

stack_v2_sparse_classes_30k_train_006438

Implement the Python class `DualGraphModule` described below. Class description: A derivative of `fx.GraphModule`. Differs in the following ways: - Requires a train and eval version of the underlying graph - Copies submodules according to the nodes of both train and eval graphs. - Calling train(mode) switches between ...

1f94320d8db8d102214a7dc02c22fa65ee9ac58a

<|skeleton|> class DualGraphModule: """A derivative of `fx.GraphModule`. Differs in the following ways: - Requires a train and eval version of the underlying graph - Copies submodules according to the nodes of both train and eval graphs. - Calling train(mode) switches between train graph and eval graph.""" def...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DualGraphModule: """A derivative of `fx.GraphModule`. Differs in the following ways: - Requires a train and eval version of the underlying graph - Copies submodules according to the nodes of both train and eval graphs. - Calling train(mode) switches between train graph and eval graph.""" def __init__(sel...

the_stack_v2_python_sparse

torchvision/models/feature_extraction.py

pytorch/vision

train

15,620

1862e477f2c911b029bc26979ebd1251cffca673

[ "ValueIterator.__init__(self, delta, epsilon, sample_cost, movement_cost)\nself.all_states = np.linspace(0, 1, self.N + 1, dtype=np.float64)\nself.policy = np.zeros(self.all_states.shape, dtype=np.int)\nself.state_values = np.zeros(self.all_states.shape)", "start = datetime.now()\nf = [0] * (self.N + 1)\nval = [0...

<|body_start_0|> ValueIterator.__init__(self, delta, epsilon, sample_cost, movement_cost) self.all_states = np.linspace(0, 1, self.N + 1, dtype=np.float64) self.policy = np.zeros(self.all_states.shape, dtype=np.int) self.state_values = np.zeros(self.all_states.shape) <|end_body_0|> <|bo...

This agent is meant to calculate a policy for the uniform change point problem. The policy can then be fed to a UniformScorer to see how well the agent performs on the uniform-v0 gym environment. This agent is based on John's code for value iteration, (for the uniform case)

UniformAgent

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UniformAgent: """This agent is meant to calculate a policy for the uniform change point problem. The policy can then be fed to a UniformScorer to see how well the agent performs on the uniform-v0 gym environment. This agent is based on John's code for value iteration, (for the uniform case)""" ...

stack_v2_sparse_classes_75kplus_train_006199

6,354

no_license

[ { "docstring": "Save parameters and initialize policy :param delta: delta from the sps paper :param epsilon: epsilon from the sps paper :param sample_cost: Ts from the sps paper :param movement_cost: Tt from the sps paper", "name": "__init__", "signature": "def __init__(self, delta, epsilon=None, sample...

4

stack_v2_sparse_classes_30k_train_046039

Implement the Python class `UniformAgent` described below. Class description: This agent is meant to calculate a policy for the uniform change point problem. The policy can then be fed to a UniformScorer to see how well the agent performs on the uniform-v0 gym environment. This agent is based on John's code for value ...

ccbb312766fbd69fb3151020f14a94041e5219c4

<|skeleton|> class UniformAgent: """This agent is meant to calculate a policy for the uniform change point problem. The policy can then be fed to a UniformScorer to see how well the agent performs on the uniform-v0 gym environment. This agent is based on John's code for value iteration, (for the uniform case)""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class UniformAgent: """This agent is meant to calculate a policy for the uniform change point problem. The policy can then be fed to a UniformScorer to see how well the agent performs on the uniform-v0 gym environment. This agent is based on John's code for value iteration, (for the uniform case)""" def __init...

the_stack_v2_python_sparse

agents/uniform_agent.py

isaacOnline/rl_for_al

train

0