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

a3266fc2bf287823d12ea54a03d670f091500a67

[ "if not root:\n return 0\nreturn max(self.maxDepth(root.left), self.maxDepth(root.right)) + 1", "if not root:\n return 0\nif not root.left and (not root.right):\n return 1\nif not root.left:\n return self.minDepth(root.right) + 1\nif not root.right:\n return self.minDepth(root.left) + 1\nreturn min...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004600

622

no_license

[ { "docstring": ":type root: TreeNode :rtype: int", "name": "maxDepth", "signature": "def maxDepth(self, root)" }, { "docstring": ":type root: TreeNode :rtype: int", "name": "minDepth", "signature": "def minDepth(self, root)" } ]

2

stack_v2_sparse_classes_30k_train_015063

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxDepth(self, root): :type root: TreeNode :rtype: int - def minDepth(self, root): :type root: TreeNode :rtype: int

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

e153306b85c3687b23a332812a0885d25ecce904

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxDepth(self, root): """:type root: TreeNode :rtype: int""" if not root: return 0 return max(self.maxDepth(root.left), self.maxDepth(root.right)) + 1 def minDepth(self, root): """:type root: TreeNode :rtype: int""" if not root: ...

the_stack_v2_python_sparse

linkedin/max min depth of a tree.py

Jason003/interview

train

2

c0b05c2a0f8bcf0a678f65b56cf671df51ac7ed0

[ "value_lines = []\ntry:\n file = open(file_name + '\\\\' + file_path, 'r')\n try:\n print('读取的文件为:%s' % file_name + '\\\\' + file_path)\n value_lines = file.readlines()\n for line in value_lines:\n text_line = line.split('\\n')\n value_lines.append(text_line[0])\n ...

<|body_start_0|> value_lines = [] try: file = open(file_name + '\\' + file_path, 'r') try: print('读取的文件为:%s' % file_name + '\\' + file_path) value_lines = file.readlines() for line in value_lines: text_line = lin...

UseText

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UseText: def read_text(file_name, file_path): """读取text文档文本 :param file_name: text文档文本名 :param file_path: text文档文本路径 :return: 以list的类型返回text中的内容""" <|body_0|> def write_text(file_name, text_value): """写入Text文本文档 :param file_name: text文本文档名（路径） :param text_value: 写入内容...

stack_v2_sparse_classes_36k_train_004601

1,728

no_license

[ { "docstring": "读取text文档文本 :param file_name: text文档文本名 :param file_path: text文档文本路径 :return: 以list的类型返回text中的内容", "name": "read_text", "signature": "def read_text(file_name, file_path)" }, { "docstring": "写入Text文本文档 :param file_name: text文本文档名（路径） :param text_value: 写入内容（值） :return:", "name"...

2

stack_v2_sparse_classes_30k_train_001421

Implement the Python class `UseText` described below. Class description: Implement the UseText class. Method signatures and docstrings: - def read_text(file_name, file_path): 读取text文档文本 :param file_name: text文档文本名 :param file_path: text文档文本路径 :return: 以list的类型返回text中的内容 - def write_text(file_name, text_value): 写入Text...

e09df64a0b19ad128152a9fb6c9e73e6271207bb

<|skeleton|> class UseText: def read_text(file_name, file_path): """读取text文档文本 :param file_name: text文档文本名 :param file_path: text文档文本路径 :return: 以list的类型返回text中的内容""" <|body_0|> def write_text(file_name, text_value): """写入Text文本文档 :param file_name: text文本文档名（路径） :param text_value: 写入内容...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UseText: def read_text(file_name, file_path): """读取text文档文本 :param file_name: text文档文本名 :param file_path: text文档文本路径 :return: 以list的类型返回text中的内容""" value_lines = [] try: file = open(file_name + '\\' + file_path, 'r') try: print('读取的文件为:%s' % file...

the_stack_v2_python_sparse

common/use_text.py

wallaceok/GoldGarden

train

0

1cf3a307aa971e6236aebd0d761ba139590fc651

[ "if city is None and state is None:\n return 'USA'\nelif city is None or state is None:\n return f\"{city or ''}{state or ''}, USA\"\nreturn f'{city}, {state} USA'", "loc_id = LocationCoordinates.to_location(city, state)\nrow = LocationCoordinates.query.get(loc_id)\nif row is None:\n loc_obj = geolocator...

<|body_start_0|> if city is None and state is None: return 'USA' elif city is None or state is None: return f"{city or ''}{state or ''}, USA" return f'{city}, {state} USA' <|end_body_0|> <|body_start_1|> loc_id = LocationCoordinates.to_location(city, state) ...

This table contains a mapping between a location string to the coordinates of that location. It contains static functions to convert a given city/state to the expected format and to 'get' coordinates (which will attempt to first retrieve from the table, then query the geolocator if not present). Locations are in the fo...

LocationCoordinates

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LocationCoordinates: """This table contains a mapping between a location string to the coordinates of that location. It contains static functions to convert a given city/state to the expected format and to 'get' coordinates (which will attempt to first retrieve from the table, then query the geol...

stack_v2_sparse_classes_36k_train_004602

39,169

no_license

[ { "docstring": "Converts a city and state (both optional) to the key expected by this table.", "name": "to_location", "signature": "def to_location(city: str=None, state: str=None) -> str" }, { "docstring": "Gets the coordinates for the given city and/or state. If fallback is true, it will attem...

2

stack_v2_sparse_classes_30k_train_015630

Implement the Python class `LocationCoordinates` described below. Class description: This table contains a mapping between a location string to the coordinates of that location. It contains static functions to convert a given city/state to the expected format and to 'get' coordinates (which will attempt to first retri...

344eec835b1468a828f83f6bc3f737c421777de5

<|skeleton|> class LocationCoordinates: """This table contains a mapping between a location string to the coordinates of that location. It contains static functions to convert a given city/state to the expected format and to 'get' coordinates (which will attempt to first retrieve from the table, then query the geol...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LocationCoordinates: """This table contains a mapping between a location string to the coordinates of that location. It contains static functions to convert a given city/state to the expected format and to 'get' coordinates (which will attempt to first retrieve from the table, then query the geolocator if not...

the_stack_v2_python_sparse

app/models.py

shirtandtieler/Job-Website-Project

train

2

c1ceafabbcaff4ef3a603106b9fb1d47d4c2d58b

[ "self.a = [0]\nfor i in range(len(rects) - 1):\n self.a.append(self.a[-1] + (rects[i][2] - rects[i][0] + 1) * (rects[i][3] - rects[i][1] + 1))\n rects[i] = [rects[i][0], rects[i][1], rects[i][2] - rects[i][0] + 1]\nself.b, self.k = (rects, self.a[-1] + (rects[-1][2] - rects[-1][0] + 1) * (rects[-1][3] - rects...

<|body_start_0|> self.a = [0] for i in range(len(rects) - 1): self.a.append(self.a[-1] + (rects[i][2] - rects[i][0] + 1) * (rects[i][3] - rects[i][1] + 1)) rects[i] = [rects[i][0], rects[i][1], rects[i][2] - rects[i][0] + 1] self.b, self.k = (rects, self.a[-1] + (rects[-1...

Solution_1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004603

2,805

no_license

[ { "docstring": ":type rects: List[List[int]] 256ms", "name": "__init__", "signature": "def __init__(self, rects)" }, { "docstring": ":rtype: List[int]", "name": "pick", "signature": "def pick(self)" } ]

2

stack_v2_sparse_classes_30k_train_010008

Implement the Python class `Solution_1` described below. Class description: Implement the Solution_1 class. Method signatures and docstrings: - def __init__(self, rects): :type rects: List[List[int]] 256ms - def pick(self): :rtype: List[int]

Implement the Python class `Solution_1` described below. Class description: Implement the Solution_1 class. Method signatures and docstrings: - def __init__(self, rects): :type rects: List[List[int]] 256ms - def pick(self): :rtype: List[int] <|skeleton|> class Solution_1: def __init__(self, rects): """:...

679a2b246b8b6bb7fc55ed1c8096d3047d6d4461

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution_1: def __init__(self, rects): """:type rects: List[List[int]] 256ms""" self.a = [0] for i in range(len(rects) - 1): self.a.append(self.a[-1] + (rects[i][2] - rects[i][0] + 1) * (rects[i][3] - rects[i][1] + 1)) rects[i] = [rects[i][0], rects[i][1], rects...

the_stack_v2_python_sparse

RandomPointInNonoverlappingRectangles_MID_882.py

953250587/leetcode-python

train

2

c5fd1b577997ab14158787ed75b35152ac9ff12a

[ "if lstm_size is None and rnn_construction_fn is None:\n raise ValueError('Need to provide either custom rnn_construction_fn or lstm_size.')\nif lstm_size and rnn_construction_fn:\n raise ValueError('Cannot provide both custom rnn_construction_fn and lstm_size.')\nkernel_initializer = tf.compat.v1.variance_sc...

<|body_start_0|> if lstm_size is None and rnn_construction_fn is None: raise ValueError('Need to provide either custom rnn_construction_fn or lstm_size.') if lstm_size and rnn_construction_fn: raise ValueError('Cannot provide both custom rnn_construction_fn and lstm_size.') ...

Recurrent network.

LSTMEncodingNetwork

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LSTMEncodingNetwork: """Recurrent network.""" def __init__(self, input_tensor_spec, preprocessing_layers=None, preprocessing_combiner=None, conv_layer_params=None, input_fc_layer_params=(75, 40), lstm_size=None, output_fc_layer_params=(75, 40), activation_fn=tf.keras.activations.relu, rnn_co...

stack_v2_sparse_classes_36k_train_004604

9,710

permissive

[ { "docstring": "Creates an instance of `LSTMEncodingNetwork`. Input preprocessing is possible via `preprocessing_layers` and `preprocessing_combiner` Layers. If the `preprocessing_layers` nest is shallower than `input_tensor_spec`, then the layers will get the subnests. For example, if: ```python input_tensor_s...

2

stack_v2_sparse_classes_30k_val_001157

Implement the Python class `LSTMEncodingNetwork` described below. Class description: Recurrent network. Method signatures and docstrings: - def __init__(self, input_tensor_spec, preprocessing_layers=None, preprocessing_combiner=None, conv_layer_params=None, input_fc_layer_params=(75, 40), lstm_size=None, output_fc_la...

eca1093d3a047e538f17f6ab92ab4d8144284f23

<|skeleton|> class LSTMEncodingNetwork: """Recurrent network.""" def __init__(self, input_tensor_spec, preprocessing_layers=None, preprocessing_combiner=None, conv_layer_params=None, input_fc_layer_params=(75, 40), lstm_size=None, output_fc_layer_params=(75, 40), activation_fn=tf.keras.activations.relu, rnn_co...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LSTMEncodingNetwork: """Recurrent network.""" def __init__(self, input_tensor_spec, preprocessing_layers=None, preprocessing_combiner=None, conv_layer_params=None, input_fc_layer_params=(75, 40), lstm_size=None, output_fc_layer_params=(75, 40), activation_fn=tf.keras.activations.relu, rnn_construction_fn...

the_stack_v2_python_sparse

tf_agents/networks/lstm_encoding_network.py

tensorflow/agents

train

2,755

97ba2c8dbb90199871ebead20570ddb79ccca4d5

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

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

MovieListMoviesAPI

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004605

12,846

permissive

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

2

stack_v2_sparse_classes_30k_train_000029

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

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

ea95ff60041beaea9aacbc2d93549e3a6b981dc5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

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

the_stack_v2_python_sparse

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

BrutuZ/Flexget

train

1

116a13dbedb359684640e24e5013196c0d370e05

[ "super().__init__(env)\nself.beta = 0.9\nself.loss = 'mse'", "gamma = 0.95\nr = last_value\nfor item in self.memory[::-1]:\n [step, state, next_state, reward, done] = item\n r = reward + gamma * r\n item = [step, state, next_state, r, done]\n self.train(item)", "[step, state, next_state, reward, don...

A2CAgent

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class A2CAgent: def __init__(self, env): """Implements the models and training of A2C policy gradient method Arguments: env (Object): OpenAI gym environment""" <|body_0|> def train_by_episode(self, last_value=0): """Train by episode Prepare the dataset before the step by s...

stack_v2_sparse_classes_36k_train_004606

29,328

permissive

[ { "docstring": "Implements the models and training of A2C policy gradient method Arguments: env (Object): OpenAI gym environment", "name": "__init__", "signature": "def __init__(self, env)" }, { "docstring": "Train by episode Prepare the dataset before the step by step training Arguments: last_v...

3

stack_v2_sparse_classes_30k_train_020780

Implement the Python class `A2CAgent` described below. Class description: Implement the A2CAgent class. Method signatures and docstrings: - def __init__(self, env): Implements the models and training of A2C policy gradient method Arguments: env (Object): OpenAI gym environment - def train_by_episode(self, last_value=...

7f447a07eb2f3dc41c83d468ae102ab8fa9dff05

<|skeleton|> class A2CAgent: def __init__(self, env): """Implements the models and training of A2C policy gradient method Arguments: env (Object): OpenAI gym environment""" <|body_0|> def train_by_episode(self, last_value=0): """Train by episode Prepare the dataset before the step by s...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class A2CAgent: def __init__(self, env): """Implements the models and training of A2C policy gradient method Arguments: env (Object): OpenAI gym environment""" super().__init__(env) self.beta = 0.9 self.loss = 'mse' def train_by_episode(self, last_value=0): """Train by e...

the_stack_v2_python_sparse

chapter10-policy/policygradient-car-10.1.1.py

PacktPublishing/Advanced-Deep-Learning-with-Keras

train

1,672

1e1b37bdf82506f151aaa1701c1dea96b8c3b315

[ "kwargs = self.dict()\nkwargs['data'] = fsr.load_result_df(self.path)\nreturn IntExperimentResult(**kwargs)", "sess = check_sess(sess)\nsql_result = crud.create_experiment_result(self)\nself.uid = sql_result.id\nself.path = Path(sql_result.path)", "kwargs = self.dict()\nkwargs['experimentGroups'] = self.experim...

A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment_group_id : int unique identifier of the assoc...

DbExperimentResult

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DbExperimentResult: """A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment...

stack_v2_sparse_classes_36k_train_004607

4,588

permissive

[ { "docstring": "Returns c_int.IntExperimentResult", "name": "to_int_class", "signature": "def to_int_class(self)" }, { "docstring": "Creates object in db. Path and id are generated and updated in object. Parameters: - sess(sqlalchemy.orm.Session): The database session to be used, if no session i...

3

stack_v2_sparse_classes_30k_train_021480

Implement the Python class `DbExperimentResult` described below. Class description: A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed descript...

4bd9f45ad9e49f4178c0b8bb1a177d7db5349c34

<|skeleton|> class DbExperimentResult: """A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DbExperimentResult: """A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment_group_id : i...

the_stack_v2_python_sparse

mistos-backend/src/app/api/classes/experiment_result.py

Maddonix/mistos_2

train

1

808d252ab54980d4d84b93b442782fc2eff4377d

[ "base, regression = build_function(idx, exdir)\nbase.write_simulation()\nif regression is not None:\n if isinstance(regression, flopy.mf6.MFSimulation):\n regression.write_simulation()\n else:\n regression.write_input()", "sim.set_model(sim.name if workspace is None else workspace, testModel=F...

<|body_start_0|> base, regression = build_function(idx, exdir) base.write_simulation() if regression is not None: if isinstance(regression, flopy.mf6.MFSimulation): regression.write_simulation() else: regression.write_input() <|end_body_0|>...

TestFramework

[ "LicenseRef-scancode-warranty-disclaimer", "CC0-1.0", "LicenseRef-scancode-public-domain" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestFramework: def build(self, build_function, idx, exdir): """Build base and regression MODFLOW 6 models Parameters ---------- build_function : function user defined function that builds a base model and optionally builds a regression model. If a regression model is not built then None ...

stack_v2_sparse_classes_36k_train_004608

1,742

permissive

[ { "docstring": "Build base and regression MODFLOW 6 models Parameters ---------- build_function : function user defined function that builds a base model and optionally builds a regression model. If a regression model is not built then None must be returned from the function for the regression model. idx : int ...

2

stack_v2_sparse_classes_30k_train_007256

Implement the Python class `TestFramework` described below. Class description: Implement the TestFramework class. Method signatures and docstrings: - def build(self, build_function, idx, exdir): Build base and regression MODFLOW 6 models Parameters ---------- build_function : function user defined function that build...

43f6198125867c487eedc64b17e9adaceb73f5ab

<|skeleton|> class TestFramework: def build(self, build_function, idx, exdir): """Build base and regression MODFLOW 6 models Parameters ---------- build_function : function user defined function that builds a base model and optionally builds a regression model. If a regression model is not built then None ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestFramework: def build(self, build_function, idx, exdir): """Build base and regression MODFLOW 6 models Parameters ---------- build_function : function user defined function that builds a base model and optionally builds a regression model. If a regression model is not built then None must be return...

the_stack_v2_python_sparse

autotest/framework.py

MODFLOW-USGS/modflow6

train

158

1a8df46ff42cc89c4eab30b93aec89d51d605c12

[ "i = bisect.bisect_left(array, value)\nif i != len(array) and array[i] == value:\n return i\nreturn -1", "assert i >= 0\nassert i < len(word)\nif cache[i] is not None:\n return cache[i]\nfull = word[i:]\nif self._find(dictionary, full) != -1:\n cache[i] = True\n return True\ncache[i] = False\nfor j in...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def _find(self, array, value): """Returns the index of the first occurence of value in array. The array is expected to be sorted. Returns -1 if the value does not exist.""" <|body_0|> def _wordBreak(self, word, i, dictionary, cache): """Checks if word[i:] c...

stack_v2_sparse_classes_36k_train_004609

2,379

permissive

[ { "docstring": "Returns the index of the first occurence of value in array. The array is expected to be sorted. Returns -1 if the value does not exist.", "name": "_find", "signature": "def _find(self, array, value)" }, { "docstring": "Checks if word[i:] can be broken up into words from the speci...

3

stack_v2_sparse_classes_30k_train_004530

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def _find(self, array, value): Returns the index of the first occurence of value in array. The array is expected to be sorted. Returns -1 if the value does not exist. - def _word...

363848b7870c8d90f5be0d345204c0bf8eb45daa

<|skeleton|> class Solution: def _find(self, array, value): """Returns the index of the first occurence of value in array. The array is expected to be sorted. Returns -1 if the value does not exist.""" <|body_0|> def _wordBreak(self, word, i, dictionary, cache): """Checks if word[i:] c...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def _find(self, array, value): """Returns the index of the first occurence of value in array. The array is expected to be sorted. Returns -1 if the value does not exist.""" i = bisect.bisect_left(array, value) if i != len(array) and array[i] == value: return i ...

the_stack_v2_python_sparse

leetcode/algorithms/word-break/solution.py

kgashok/algorithms

train

1

48bb32d6a2610239a9482847456bb0f2eb8db28c

[ "if not non_terminal(start_variable):\n raise ValueError('The start variable must not be terminal')\nself._start_variable = start_variable\nself.deriv_rules = {}", "if not non_terminal(left):\n raise ValueError('The left side must be non terminal')\nif left not in self.deriv_rules and type(right) == list:\n...

<|body_start_0|> if not non_terminal(start_variable): raise ValueError('The start variable must not be terminal') self._start_variable = start_variable self.deriv_rules = {} <|end_body_0|> <|body_start_1|> if not non_terminal(left): raise ValueError('The left sid...

Class representing a CF grammar.

Grammar

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Grammar: """Class representing a CF grammar.""" def __init__(self, start_variable): """Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.""" <|body_0|> def add_rule(self, left, right): """Add a new derivation rule to...

stack_v2_sparse_classes_36k_train_004610

5,080

no_license

[ { "docstring": "Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.", "name": "__init__", "signature": "def __init__(self, start_variable)" }, { "docstring": "Add a new derivation rule to the grammar. :param left: the left side of the rule, a non ter...

5

stack_v2_sparse_classes_30k_train_000540

Implement the Python class `Grammar` described below. Class description: Class representing a CF grammar. Method signatures and docstrings: - def __init__(self, start_variable): Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals. - def add_rule(self, left, right): Add a n...

310ab38aa6b2fc573e3530816bfbfd02ac1a0936

<|skeleton|> class Grammar: """Class representing a CF grammar.""" def __init__(self, start_variable): """Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.""" <|body_0|> def add_rule(self, left, right): """Add a new derivation rule to...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Grammar: """Class representing a CF grammar.""" def __init__(self, start_variable): """Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.""" if not non_terminal(start_variable): raise ValueError('The start variable must not be ter...

the_stack_v2_python_sparse

4Sucipto_Lunkyadi.py

galezon/TheoryAlgorithms

train

1

aa0faf38a1bc8e55c17c2ae23c7baf291de9f098

[ "client = self.authenticate_token_endpoint_client()\nlog.debug('Validate authorization request of %r', client)\nredirect_uri = self.validate_authorization_redirect_uri(self.request, client)\nresponse_type = self.request.response_type\nif not client.check_response_type(response_type):\n raise UnauthorizedClientEr...

<|body_start_0|> client = self.authenticate_token_endpoint_client() log.debug('Validate authorization request of %r', client) redirect_uri = self.validate_authorization_redirect_uri(self.request, client) response_type = self.request.response_type if not client.check_response_type...

The implicit grant type is used to obtain access tokens (it does not support the issuance of refresh tokens) and is optimized for public clients known to operate a particular redirection URI. These clients are typically implemented in a browser using a scripting language such as JavaScript. Since this is a redirection-...

ImplicitGrant

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ImplicitGrant: """The implicit grant type is used to obtain access tokens (it does not support the issuance of refresh tokens) and is optimized for public clients known to operate a particular redirection URI. These clients are typically implemented in a browser using a scripting language such as...

stack_v2_sparse_classes_36k_train_004611

9,297

permissive

[ { "docstring": "The client constructs the request URI by adding the following parameters to the query component of the authorization endpoint URI using the \"application/x-www-form-urlencoded\" format. Per `Section 4.2.1`_. response_type REQUIRED. Value MUST be set to \"token\". client_id REQUIRED. The client i...

2

null

Implement the Python class `ImplicitGrant` described below. Class description: The implicit grant type is used to obtain access tokens (it does not support the issuance of refresh tokens) and is optimized for public clients known to operate a particular redirection URI. These clients are typically implemented in a bro...

1846d6ac66e89bdb3268fffe15b7e49289966366

<|skeleton|> class ImplicitGrant: """The implicit grant type is used to obtain access tokens (it does not support the issuance of refresh tokens) and is optimized for public clients known to operate a particular redirection URI. These clients are typically implemented in a browser using a scripting language such as...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ImplicitGrant: """The implicit grant type is used to obtain access tokens (it does not support the issuance of refresh tokens) and is optimized for public clients known to operate a particular redirection URI. These clients are typically implemented in a browser using a scripting language such as JavaScript. ...

the_stack_v2_python_sparse

authlib/oauth2/rfc6749/grants/implicit.py

lepture/authlib

train

4,091

6f9cfaca5979ec78138348407f71106617c4e796

[ "kwargs = super().get_form_kwargs()\nkwargs.update({'camp': self.camp})\nreturn kwargs", "speaker = form.save()\nsave_speaker_availability(form, obj=speaker)\nmessages.success(self.request, 'Speaker has been updated')\nreturn redirect(reverse('backoffice:speaker_detail', kwargs={'camp_slug': self.camp.slug, 'slug...

<|body_start_0|> kwargs = super().get_form_kwargs() kwargs.update({'camp': self.camp}) return kwargs <|end_body_0|> <|body_start_1|> speaker = form.save() save_speaker_availability(form, obj=speaker) messages.success(self.request, 'Speaker has been updated') retu...

This view is used by the Content Team to update Speaker objects

SpeakerUpdateView

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004612

33,145

permissive

[ { "docstring": "Set camp for the form", "name": "get_form_kwargs", "signature": "def get_form_kwargs(self)" }, { "docstring": "Save object and availability", "name": "form_valid", "signature": "def form_valid(self, form)" } ]

2

stack_v2_sparse_classes_30k_train_008968

Implement the Python class `SpeakerUpdateView` described below. Class description: This view is used by the Content Team to update Speaker objects Method signatures and docstrings: - def get_form_kwargs(self): Set camp for the form - def form_valid(self, form): Save object and availability

Implement the Python class `SpeakerUpdateView` described below. Class description: This view is used by the Content Team to update Speaker objects Method signatures and docstrings: - def get_form_kwargs(self): Set camp for the form - def form_valid(self, form): Save object and availability <|skeleton|> class Speaker...

767deb7f58429e9162e0c2ef79be9f0f38f37ce1

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SpeakerUpdateView: """This view is used by the Content Team to update Speaker objects""" def get_form_kwargs(self): """Set camp for the form""" kwargs = super().get_form_kwargs() kwargs.update({'camp': self.camp}) return kwargs def form_valid(self, form): """S...

the_stack_v2_python_sparse

src/backoffice/views/program.py

bornhack/bornhack-website

train

9

b42a48fd447ed40a4a6160f04cbe52a0ce001e35

[ "self.max_tries = max_tries\nself.delay = delay\nself.backoff = backoff\nself.max_jitter = int(max_jitter * 100)\nself.max_delay = float(max_delay)\nself._attempts = 0\nself._cur_delay = delay\nself.deadline = deadline\nself._cur_stoptime = None\nself.retry_exceptions = self.RETRY_EXCEPTIONS\nself.interrupt = inter...

<|body_start_0|> self.max_tries = max_tries self.delay = delay self.backoff = backoff self.max_jitter = int(max_jitter * 100) self.max_delay = float(max_delay) self._attempts = 0 self._cur_delay = delay self.deadline = deadline self._cur_stoptime =...

A retry helper based on kazoo.retry.KazooRetry and modified to work with coroutines.

AsyncKazooRetry

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AsyncKazooRetry: """A retry helper based on kazoo.retry.KazooRetry and modified to work with coroutines.""" def __init__(self, max_tries=1, delay=0.1, backoff=2, max_jitter=0.8, max_delay=60, ignore_expire=True, deadline=None, interrupt=None): """Creates an AsyncKazooRetry for retryi...

stack_v2_sparse_classes_36k_train_004613

17,648

permissive

[ { "docstring": "Creates an AsyncKazooRetry for retrying coroutines. Args: max_tries: How many times to retry the command. -1 means infinite tries. delay: Initial delay between retry attempts. backoff: Backoff multiplier between retry attempts. Defaults to 2 for exponential backoff. max_jitter: Additional max ji...

4

null

Implement the Python class `AsyncKazooRetry` described below. Class description: A retry helper based on kazoo.retry.KazooRetry and modified to work with coroutines. Method signatures and docstrings: - def __init__(self, max_tries=1, delay=0.1, backoff=2, max_jitter=0.8, max_delay=60, ignore_expire=True, deadline=Non...

be17e5f658d7b42b5aa7eeb7a5ddd4962f3ea82f

<|skeleton|> class AsyncKazooRetry: """A retry helper based on kazoo.retry.KazooRetry and modified to work with coroutines.""" def __init__(self, max_tries=1, delay=0.1, backoff=2, max_jitter=0.8, max_delay=60, ignore_expire=True, deadline=None, interrupt=None): """Creates an AsyncKazooRetry for retryi...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AsyncKazooRetry: """A retry helper based on kazoo.retry.KazooRetry and modified to work with coroutines.""" def __init__(self, max_tries=1, delay=0.1, backoff=2, max_jitter=0.8, max_delay=60, ignore_expire=True, deadline=None, interrupt=None): """Creates an AsyncKazooRetry for retrying coroutines...

the_stack_v2_python_sparse

AppDB/appscale/datastore/zkappscale/tornado_kazoo.py

obino/appscale

train

1

b20b84173b38953f184e8abc8656cb1f9ecafe56

[ "g = entry.graph\nfvg = {g2 for g2 in g.free_variables_total if isinstance(g2, Graph) and g2 not in all_entries}\nall_fvs = reduce(operator.or_, [gg.free_variables_extended for gg in entry.eqv], OrderedSet())\nif all_fvs and all((all((user in g.scope for user in g2.graph_users)) for g2 in fvg)):\n entry.fvs = al...

<|body_start_0|> g = entry.graph fvg = {g2 for g2 in g.free_variables_total if isinstance(g2, Graph) and g2 not in all_entries} all_fvs = reduce(operator.or_, [gg.free_variables_extended for gg in entry.eqv], OrderedSet()) if all_fvs and all((all((user in g.scope for user in g2.graph_use...

Lambda lifting optimization. Graphs with free variables for which we can identify all calls will be modified to take these free variables as extra arguments. This is a destructive operation.

LambdaLiftRewriter

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LambdaLiftRewriter: """Lambda lifting optimization. Graphs with free variables for which we can identify all calls will be modified to take these free variables as extra arguments. This is a destructive operation.""" def filter(self, entry, all_entries): """Only graphs that have free...

stack_v2_sparse_classes_36k_train_004614

15,078

permissive

[ { "docstring": "Only graphs that have free variables will be transformed. In order for the lambda lifting to work properly when a function F refers to a function G that cannot be lambda lifted but has free variables (in other words, the G is a free variable of F), G will have to be moved inside F's scope. We on...

4

null

Implement the Python class `LambdaLiftRewriter` described below. Class description: Lambda lifting optimization. Graphs with free variables for which we can identify all calls will be modified to take these free variables as extra arguments. This is a destructive operation. Method signatures and docstrings: - def fil...

d7b12c15453079e1a2c4fdae611c5f741574363d

<|skeleton|> class LambdaLiftRewriter: """Lambda lifting optimization. Graphs with free variables for which we can identify all calls will be modified to take these free variables as extra arguments. This is a destructive operation.""" def filter(self, entry, all_entries): """Only graphs that have free...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LambdaLiftRewriter: """Lambda lifting optimization. Graphs with free variables for which we can identify all calls will be modified to take these free variables as extra arguments. This is a destructive operation.""" def filter(self, entry, all_entries): """Only graphs that have free variables wi...

the_stack_v2_python_sparse

myia/opt/rewrite.py

breuleux/myia

train

1

1f47d79c34b7204bef6f06bcdccec706ff4c6a8d

[ "blacklist = ['', None, '-']\nif value in blacklist:\n return\nelif type(value) == tuple and len(value) == 2 and (value[1] == True):\n self.__dict__[name] = value[0]\nelse:\n if type(value) == str:\n value = value.replace(\"'\", '')\n self.__dict__[name] = value", "variableNames = [key for key ...

<|body_start_0|> blacklist = ['', None, '-'] if value in blacklist: return elif type(value) == tuple and len(value) == 2 and (value[1] == True): self.__dict__[name] = value[0] else: if type(value) == str: value = value.replace("'", '') ...

Main

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004615

5,468

permissive

[ { "docstring": "Function doesnt set value if it is in blacklist", "name": "__setattr__", "signature": "def __setattr__(self, name, value)" }, { "docstring": "Function returns INSERT query with its class variables", "name": "insertQuery", "signature": "def insertQuery(self)" } ]

2

stack_v2_sparse_classes_30k_train_018028

Implement the Python class `Main` described below. Class description: Implement the Main class. Method signatures and docstrings: - def __setattr__(self, name, value): Function doesnt set value if it is in blacklist - def insertQuery(self): Function returns INSERT query with its class variables

Implement the Python class `Main` described below. Class description: Implement the Main class. Method signatures and docstrings: - def __setattr__(self, name, value): Function doesnt set value if it is in blacklist - def insertQuery(self): Function returns INSERT query with its class variables <|skeleton|> class Ma...

c296af4934c9e70ce56ccdb23c5998e2d8418cab

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Main: def __setattr__(self, name, value): """Function doesnt set value if it is in blacklist""" blacklist = ['', None, '-'] if value in blacklist: return elif type(value) == tuple and len(value) == 2 and (value[1] == True): self.__dict__[name] = value[0]...

the_stack_v2_python_sparse

web-app/generate_random_patients.py

sandbernar/corona-prod

train

0

5347204cf8b328aa55010d90053b65244ef5e29c

[ "if not self.log_softmax:\n return {'logits': NeuralType(('B', 'T', 'C'), LogitsType())}\nelse:\n return {'log_probs': NeuralType(('B', 'T', 'C'), LogprobsType())}", "super().__init__(hidden_size=hidden_size, dropout=dropout)\nself.log_softmax = log_softmax\nself.mlp = MultiLayerPerceptron(hidden_size, num_...

<|body_start_0|> if not self.log_softmax: return {'logits': NeuralType(('B', 'T', 'C'), LogitsType())} else: return {'log_probs': NeuralType(('B', 'T', 'C'), LogprobsType())} <|end_body_0|> <|body_start_1|> super().__init__(hidden_size=hidden_size, dropout=dropout) ...

A module to perform token level classification tasks such as Named entity recognition.

TokenClassifier

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TokenClassifier: """A module to perform token level classification tasks such as Named entity recognition.""" def output_types(self) -> Optional[Dict[str, NeuralType]]: """Returns definitions of module output ports.""" <|body_0|> def __init__(self, hidden_size: int, num_...

stack_v2_sparse_classes_36k_train_004616

6,136

permissive

[ { "docstring": "Returns definitions of module output ports.", "name": "output_types", "signature": "def output_types(self) -> Optional[Dict[str, NeuralType]]" }, { "docstring": "Initializes the Token Classifier module. Args: hidden_size: the size of the hidden dimension num_classes: number of cl...

3

null

Implement the Python class `TokenClassifier` described below. Class description: A module to perform token level classification tasks such as Named entity recognition. Method signatures and docstrings: - def output_types(self) -> Optional[Dict[str, NeuralType]]: Returns definitions of module output ports. - def __ini...

c20a16ea8aa2a9d8e31a98eb22178ddb9d5935e7

<|skeleton|> class TokenClassifier: """A module to perform token level classification tasks such as Named entity recognition.""" def output_types(self) -> Optional[Dict[str, NeuralType]]: """Returns definitions of module output ports.""" <|body_0|> def __init__(self, hidden_size: int, num_...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TokenClassifier: """A module to perform token level classification tasks such as Named entity recognition.""" def output_types(self) -> Optional[Dict[str, NeuralType]]: """Returns definitions of module output ports.""" if not self.log_softmax: return {'logits': NeuralType(('B'...

the_stack_v2_python_sparse

nemo/collections/nlp/modules/common/token_classifier.py

NVIDIA/NeMo

train

7,957

592d0bfeb755e797480a1d13cbb17972eeb9b97d

[ "logger.info('Overriding class: JS -> NBJS.')\nsuper(NBJS, self).__init__(params)\nlogger.info('Class overrided.')", "r1 = r.generate_uniform_random_number()\nmotion = self.gamma * r1\nreturn motion" ]

An NBJS class, inherited from JS. This is the designed class to define NBJS-related variables and methods. References: Publication pending.

NBJS

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NBJS: """An NBJS class, inherited from JS. This is the designed class to define NBJS-related variables and methods. References: Publication pending.""" def __init__(self, params: Optional[Dict[str, Any]]=None) -> None: """Initialization method. Args: params: Contains key-value parame...

stack_v2_sparse_classes_36k_train_004617

7,453

permissive

[ { "docstring": "Initialization method. Args: params: Contains key-value parameters to the meta-heuristics.", "name": "__init__", "signature": "def __init__(self, params: Optional[Dict[str, Any]]=None) -> None" }, { "docstring": "Calculates type A motion. Args: lb: Array of lower bounds. ub: Arra...

2

stack_v2_sparse_classes_30k_train_014230

Implement the Python class `NBJS` described below. Class description: An NBJS class, inherited from JS. This is the designed class to define NBJS-related variables and methods. References: Publication pending. Method signatures and docstrings: - def __init__(self, params: Optional[Dict[str, Any]]=None) -> None: Initi...

7326a887ed8e3858bc99c8815048d56d02edf88c

<|skeleton|> class NBJS: """An NBJS class, inherited from JS. This is the designed class to define NBJS-related variables and methods. References: Publication pending.""" def __init__(self, params: Optional[Dict[str, Any]]=None) -> None: """Initialization method. Args: params: Contains key-value parame...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NBJS: """An NBJS class, inherited from JS. This is the designed class to define NBJS-related variables and methods. References: Publication pending.""" def __init__(self, params: Optional[Dict[str, Any]]=None) -> None: """Initialization method. Args: params: Contains key-value parameters to the m...

the_stack_v2_python_sparse

opytimizer/optimizers/swarm/js.py

gugarosa/opytimizer

train

602

07233c99a408e4919c41eb7527456d5f02995f65

[ "losses_dict = dict()\nlosses_dict['loss_disc_fake'] = F.relu(1 + disc_pred_fake).mean()\nlosses_dict['loss_disc_real'] = F.relu(1 - disc_pred_real).mean()\nloss, log_var = self.parse_losses(losses_dict)\nreturn (loss, log_var)", "losses_dict = dict()\nlosses_dict['loss_gen'] = -disc_pred_fake.mean()\nloss, log_v...

<|body_start_0|> losses_dict = dict() losses_dict['loss_disc_fake'] = F.relu(1 + disc_pred_fake).mean() losses_dict['loss_disc_real'] = F.relu(1 - disc_pred_real).mean() loss, log_var = self.parse_losses(losses_dict) return (loss, log_var) <|end_body_0|> <|body_start_1|> ...

Implementation of `Geometric GAN`. <https://arxiv.org/abs/1705.02894>`_(GGAN).

GGAN

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GGAN: """Implementation of `Geometric GAN`. <https://arxiv.org/abs/1705.02894>`_(GGAN).""" def disc_loss(self, disc_pred_fake: Tensor, disc_pred_real: Tensor) -> Tuple: """Get disc loss. GGAN use hinge loss to train the discriminator. .. math: L_{D} = -\\mathbb{E}_{\\left(x, y\\right...

stack_v2_sparse_classes_36k_train_004618

4,255

permissive

[ { "docstring": "Get disc loss. GGAN use hinge loss to train the discriminator. .. math: L_{D} = -\\\\mathbb{E}_{\\\\left(x, y\\\\right)\\\\sim{p}_{data}} \\\\left[\\\\min\\\\left(0, -1 + D\\\\left(x, y\\\\right)\\\\right)\\\\right] -\\\\mathbb{E}_{z\\\\sim{p_{z}}, y\\\\sim{p_{data}}}\\\\left[\\\\min \\\\left(0,...

4

null

Implement the Python class `GGAN` described below. Class description: Implementation of `Geometric GAN`. <https://arxiv.org/abs/1705.02894>`_(GGAN). Method signatures and docstrings: - def disc_loss(self, disc_pred_fake: Tensor, disc_pred_real: Tensor) -> Tuple: Get disc loss. GGAN use hinge loss to train the discrim...

a382f143c0fd20d227e1e5524831ba26a568190d

<|skeleton|> class GGAN: """Implementation of `Geometric GAN`. <https://arxiv.org/abs/1705.02894>`_(GGAN).""" def disc_loss(self, disc_pred_fake: Tensor, disc_pred_real: Tensor) -> Tuple: """Get disc loss. GGAN use hinge loss to train the discriminator. .. math: L_{D} = -\\mathbb{E}_{\\left(x, y\\right...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GGAN: """Implementation of `Geometric GAN`. <https://arxiv.org/abs/1705.02894>`_(GGAN).""" def disc_loss(self, disc_pred_fake: Tensor, disc_pred_real: Tensor) -> Tuple: """Get disc loss. GGAN use hinge loss to train the discriminator. .. math: L_{D} = -\\mathbb{E}_{\\left(x, y\\right)\\sim{p}_{da...

the_stack_v2_python_sparse

mmagic/models/editors/ggan/ggan.py

open-mmlab/mmagic

train

1,370

28214f4f210989418f9c7ac1507b0edb367ecdb1

[ "if HAS_ISBD and ISelectableBrowserDefault.providedBy(target):\n return target.getLayout()\nelse:\n view = target.getTypeInfo().getActionById('view') or 'base_view'\n if view == 'view':\n view = target.portal_type.lower() + '_view'\n return view", "data = [HelpCenterTutorialPage.SearchableText(...

<|body_start_0|> if HAS_ISBD and ISelectableBrowserDefault.providedBy(target): return target.getLayout() else: view = target.getTypeInfo().getActionById('view') or 'base_view' if view == 'view': view = target.portal_type.lower() + '_view' r...

A tutorial containing TutorialPages, Files and Images.

BungeniHelpCenterTutorialPage

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BungeniHelpCenterTutorialPage: """A tutorial containing TutorialPages, Files and Images.""" def getTargetObjectLayout(self, target): """Returns target object 'view' action page template""" <|body_0|> def SearchableText(self): """Append references' searchable fiel...

stack_v2_sparse_classes_36k_train_004619

34,826

no_license

[ { "docstring": "Returns target object 'view' action page template", "name": "getTargetObjectLayout", "signature": "def getTargetObjectLayout(self, target)" }, { "docstring": "Append references' searchable fields.", "name": "SearchableText", "signature": "def SearchableText(self)" } ]

2

null

Implement the Python class `BungeniHelpCenterTutorialPage` described below. Class description: A tutorial containing TutorialPages, Files and Images. Method signatures and docstrings: - def getTargetObjectLayout(self, target): Returns target object 'view' action page template - def SearchableText(self): Append refere...

5cf0ba31dfbff8d2c1b4aa8ab6f69c7a0ae9870d

<|skeleton|> class BungeniHelpCenterTutorialPage: """A tutorial containing TutorialPages, Files and Images.""" def getTargetObjectLayout(self, target): """Returns target object 'view' action page template""" <|body_0|> def SearchableText(self): """Append references' searchable fiel...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BungeniHelpCenterTutorialPage: """A tutorial containing TutorialPages, Files and Images.""" def getTargetObjectLayout(self, target): """Returns target object 'view' action page template""" if HAS_ISBD and ISelectableBrowserDefault.providedBy(target): return target.getLayout() ...

the_stack_v2_python_sparse

plone.products/BungeniHelpCenter/branches/plone4/content/HelpCenter.py

malangalanga/bungeni-portal

train

0

cd121b2152bac944b45e1a2d03b811b3cfe26445

[ "self.blockNumber = blockNumber\nself.unknownVarIndex = unknownVarIndex\nself.indepVar = indepVar\nx = self.indepVar\nlogger.debug('indepVarOrders:')\nlogger.debug(indepVarOrders)\nself.derivOrder = int(indepVarOrders[x])\nself.userIndepVariables = ['x', 'y', 'z']\nvar = self.indepVar\nself.indepVarIndexList = [sel...

<|body_start_0|> self.blockNumber = blockNumber self.unknownVarIndex = unknownVarIndex self.indepVar = indepVar x = self.indepVar logger.debug('indepVarOrders:') logger.debug(indepVarOrders) self.derivOrder = int(indepVarOrders[x]) self.userIndepVariables ...

DESCRIPTION: Find d^{n}(u)/d(x)^{n} where n is n > 1 for central functions (used method common_diff) INPUT: See ``self.__init__``

GenPureCommon

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GenPureCommon: """DESCRIPTION: Find d^{n}(u)/d(x)^{n} where n is n > 1 for central functions (used method common_diff) INPUT: See ``self.__init__``""" def __init__(self, blockNumber, unknownVarIndex, indepVar, indepVarOrders): """Inputs: - ``blockNumber`` -- used for strides and cell...

stack_v2_sparse_classes_36k_train_004620

7,512

no_license

[ { "docstring": "Inputs: - ``blockNumber`` -- used for strides and cellsize variables names - ``unknownVarIndex`` -- shift index for variable (like (U, V)-> (source[+0], source[+1])) (Ex: dict([('U', 0), ('V', 1)])['U']) - ``indepVar`` -- like 'x' i.e. for which diff maked - ``indepVarOrders`` -- dict([(var, flo...

5

null

Implement the Python class `GenPureCommon` described below. Class description: DESCRIPTION: Find d^{n}(u)/d(x)^{n} where n is n > 1 for central functions (used method common_diff) INPUT: See ``self.__init__`` Method signatures and docstrings: - def __init__(self, blockNumber, unknownVarIndex, indepVar, indepVarOrders...

1e1e5d46713bb15519653f4e9151f559f6637e4a

<|skeleton|> class GenPureCommon: """DESCRIPTION: Find d^{n}(u)/d(x)^{n} where n is n > 1 for central functions (used method common_diff) INPUT: See ``self.__init__``""" def __init__(self, blockNumber, unknownVarIndex, indepVar, indepVarOrders): """Inputs: - ``blockNumber`` -- used for strides and cell...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GenPureCommon: """DESCRIPTION: Find d^{n}(u)/d(x)^{n} where n is n > 1 for central functions (used method common_diff) INPUT: See ``self.__init__``""" def __init__(self, blockNumber, unknownVarIndex, indepVar, indepVarOrders): """Inputs: - ``blockNumber`` -- used for strides and cellsize variable...

the_stack_v2_python_sparse

spaces/math_space/common/env/equation/data/terms/output/cpp/additions/deriv/gen_pure_common.py

dglyzin/tracer

train

0

4c2283b9f271fdbbf74de7511a457e34fbecc993

[ "self.sensor_data = SensorData.SensorData()\nself.sensor_data.setName('Temperature Sensor Data')\nself.sense = SenseHat()\nself.sense.clear()\nself.sensorDataManager = SensorDataManager.SensorDataManager()\npass", "temp = self.sense.get_temperature()\nself.sensor_data.addValue(temp)\ntempString = self.generateStr...

Class which reads the temperature data from the SenseHAT. Stores the data in the SensorData class and then further calls SensorDataManager to parse the stored data.

TempSensorAdapterTask

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TempSensorAdapterTask: """Class which reads the temperature data from the SenseHAT. Stores the data in the SensorData class and then further calls SensorDataManager to parse the stored data.""" def __init__(self): """Constructor""" <|body_0|> def readTemperature(self) ->...

stack_v2_sparse_classes_36k_train_004621

2,375

no_license

[ { "docstring": "Constructor", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Method to read new data from the senseHat. Data is then pushed to the SensorData instance, then a sensorDataManager instance is called which overtakes execution.", "name": "readTemperature"...

3

stack_v2_sparse_classes_30k_test_000272

Implement the Python class `TempSensorAdapterTask` described below. Class description: Class which reads the temperature data from the SenseHAT. Stores the data in the SensorData class and then further calls SensorDataManager to parse the stored data. Method signatures and docstrings: - def __init__(self): Constructo...

dfd5fd8c757cae8b1306ae3e4eb2cfc9bf124fee

<|skeleton|> class TempSensorAdapterTask: """Class which reads the temperature data from the SenseHAT. Stores the data in the SensorData class and then further calls SensorDataManager to parse the stored data.""" def __init__(self): """Constructor""" <|body_0|> def readTemperature(self) ->...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TempSensorAdapterTask: """Class which reads the temperature data from the SenseHAT. Stores the data in the SensorData class and then further calls SensorDataManager to parse the stored data.""" def __init__(self): """Constructor""" self.sensor_data = SensorData.SensorData() self.s...

the_stack_v2_python_sparse

apps/labs/module03/TempSensorAdapterTask.py

mnk400/iot-device

train

0

3e3f5fa0142072dee681009fb5cda7ccb633a43f

[ "if isinstance(value, str) and value.replace(' ', '') == '':\n raise InvalidEmptyValue(field_name=field.name)\nreturn value", "ti_utils = ThreatIntelUtil(session_tc=registry.session_tc)\nindicator_types = cls.indicator_types or ti_utils.indicator_types\nif value.lower() not in [i.lower() for i in indicator_typ...

Indicator Entity Field (Model) Type

IndicatorEntity

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class IndicatorEntity: """Indicator Entity Field (Model) Type""" def is_empty(cls, value: str, field: ModelField) -> str: """Validate that the value is a non-empty string.""" <|body_0|> def is_type(cls, value: str, field: ModelField) -> str: """Validate that the entity...

stack_v2_sparse_classes_36k_train_004622

2,094

permissive

[ { "docstring": "Validate that the value is a non-empty string.", "name": "is_empty", "signature": "def is_empty(cls, value: str, field: ModelField) -> str" }, { "docstring": "Validate that the entity is of a specific Indicator type.", "name": "is_type", "signature": "def is_type(cls, val...

2

stack_v2_sparse_classes_30k_train_016830

Implement the Python class `IndicatorEntity` described below. Class description: Indicator Entity Field (Model) Type Method signatures and docstrings: - def is_empty(cls, value: str, field: ModelField) -> str: Validate that the value is a non-empty string. - def is_type(cls, value: str, field: ModelField) -> str: Val...

30dc147e40d63d1082ec2a5e6c62005b60c29c37

<|skeleton|> class IndicatorEntity: """Indicator Entity Field (Model) Type""" def is_empty(cls, value: str, field: ModelField) -> str: """Validate that the value is a non-empty string.""" <|body_0|> def is_type(cls, value: str, field: ModelField) -> str: """Validate that the entity...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class IndicatorEntity: """Indicator Entity Field (Model) Type""" def is_empty(cls, value: str, field: ModelField) -> str: """Validate that the value is a non-empty string.""" if isinstance(value, str) and value.replace(' ', '') == '': raise InvalidEmptyValue(field_name=field.name) ...

the_stack_v2_python_sparse

tcex/input/field_type/indicator_entity.py

ThreatConnect-Inc/tcex

train

24

686a19c3a7fbc8a0edb1951309d3e78524ab04a7

[ "user = self.env.user\ncan_access = False\nfor rec in self:\n if user.id == SUPERUSER_ID or rec.author_id.user_id.id == user.id:\n can_access = True\n if user.has_group('tms_modules.group_profile_tms_admin'):\n can_access = True\nreturn can_access", "user_env = self.env['res.users']\nemployee_...

<|body_start_0|> user = self.env.user can_access = False for rec in self: if user.id == SUPERUSER_ID or rec.author_id.user_id.id == user.id: can_access = True if user.has_group('tms_modules.group_profile_tms_admin'): can_access = True ...

HrAppraisalInput

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class HrAppraisalInput: def _security_https_password(self): """Only author of input and Admin profile can see expect_salary_raise""" <|body_0|> def _password_security(self): """Author can see and edit all secured fields of his appraisal input HR manager and Manager of the ...

stack_v2_sparse_classes_36k_train_004623

3,054

no_license

[ { "docstring": "Only author of input and Admin profile can see expect_salary_raise", "name": "_security_https_password", "signature": "def _security_https_password(self)" }, { "docstring": "Author can see and edit all secured fields of his appraisal input HR manager and Manager of the employee_o...

2

null

Implement the Python class `HrAppraisalInput` described below. Class description: Implement the HrAppraisalInput class. Method signatures and docstrings: - def _security_https_password(self): Only author of input and Admin profile can see expect_salary_raise - def _password_security(self): Author can see and edit all...

673dd0f2a7c0b69a984342b20f55164a97a00529

<|skeleton|> class HrAppraisalInput: def _security_https_password(self): """Only author of input and Admin profile can see expect_salary_raise""" <|body_0|> def _password_security(self): """Author can see and edit all secured fields of his appraisal input HR manager and Manager of the ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HrAppraisalInput: def _security_https_password(self): """Only author of input and Admin profile can see expect_salary_raise""" user = self.env.user can_access = False for rec in self: if user.id == SUPERUSER_ID or rec.author_id.user_id.id == user.id: ...

the_stack_v2_python_sparse

project/tms_modules/model/hr/hr_appraisal_input.py

TinPlusIT05/tms

train

0

4f8948521bc9ecc91b2ace6e440b943ab943bc8e

[ "uid = getSecurityManager().getUser().getId()\nif uid == 'Anonymous':\n return ()\nbook = component.getUtility(IAddressBookUtility).get(uid)\nentry_names = list(book.keys())\nentry_names.sort()\nentry_dict = {}\nfor entry_name in entry_names:\n second_line = ''\n if book[entry_name].ship_second_line:\n ...

<|body_start_0|> uid = getSecurityManager().getUser().getId() if uid == 'Anonymous': return () book = component.getUtility(IAddressBookUtility).get(uid) entry_names = list(book.keys()) entry_names.sort() entry_dict = {} for entry_name in entry_names: ...

AddressBookView

[ "ZPL-2.1" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004624

37,142

permissive

[ { "docstring": "get a list of entry names", "name": "getEntryNames", "signature": "def getEntryNames(self)" }, { "docstring": "Returns javascript function that fill the fields with the data", "name": "getEntryScripts", "signature": "def getEntryScripts(self)" } ]

2

stack_v2_sparse_classes_30k_train_008436

Implement the Python class `AddressBookView` described below. Class description: Implement the AddressBookView class. Method signatures and docstrings: - def getEntryNames(self): get a list of entry names - def getEntryScripts(self): Returns javascript function that fill the fields with the data

Implement the Python class `AddressBookView` described below. Class description: Implement the AddressBookView class. Method signatures and docstrings: - def getEntryNames(self): get a list of entry names - def getEntryScripts(self): Returns javascript function that fill the fields with the data <|skeleton|> class A...

95ebc05678cb8db7510e0de0857ad41253800fb1

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AddressBookView: def getEntryNames(self): """get a list of entry names""" uid = getSecurityManager().getUser().getId() if uid == 'Anonymous': return () book = component.getUtility(IAddressBookUtility).get(uid) entry_names = list(book.keys()) entry_na...

the_stack_v2_python_sparse

Products/PloneGetPaid/browser/checkout.py

Martronic-SA/Products.PloneGetPaid

train

0

4f222c52fc99692e590270e54ccf5a592d9ba5da

[ "self.logistic_cost = logistic_cost\nself.loan_rate = loan_rate\nself.annual_interest = annual_interest\nself.subsidized_interest = subsidized_interest\nself.loan_period = loan_period\nself.grace_period = grace_period\nself.own_funds_rate = 1 - self.loan_rate\nself.own_fund = self.logistic_cost * self.own_funds_rat...

<|body_start_0|> self.logistic_cost = logistic_cost self.loan_rate = loan_rate self.annual_interest = annual_interest self.subsidized_interest = subsidized_interest self.loan_period = loan_period self.grace_period = grace_period self.own_funds_rate = 1 - self.loan...

Class of Loan Mechanism.

Loan

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Loan: """Class of Loan Mechanism.""" def __init__(self, logistic_cost, loan_rate, annual_interest, subsidized_interest, loan_period, grace_period): """Args: logistic_cost (float): initial cost that will be divided in loan amount and own funds amount. loan (float): how much of the log...

stack_v2_sparse_classes_36k_train_004625

13,376

no_license

[ { "docstring": "Args: logistic_cost (float): initial cost that will be divided in loan amount and own funds amount. loan (float): how much of the logistic cost will be in loan amount. annual_interest (float): annual interest rate of loan. subsidizes_interest (float): annual subsidized interest rate of loan. loa...

3

stack_v2_sparse_classes_30k_train_001623

Implement the Python class `Loan` described below. Class description: Class of Loan Mechanism. Method signatures and docstrings: - def __init__(self, logistic_cost, loan_rate, annual_interest, subsidized_interest, loan_period, grace_period): Args: logistic_cost (float): initial cost that will be divided in loan amoun...

7701766260a54836e9b767acfcc1c288535cbc78

<|skeleton|> class Loan: """Class of Loan Mechanism.""" def __init__(self, logistic_cost, loan_rate, annual_interest, subsidized_interest, loan_period, grace_period): """Args: logistic_cost (float): initial cost that will be divided in loan amount and own funds amount. loan (float): how much of the log...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Loan: """Class of Loan Mechanism.""" def __init__(self, logistic_cost, loan_rate, annual_interest, subsidized_interest, loan_period, grace_period): """Args: logistic_cost (float): initial cost that will be divided in loan amount and own funds amount. loan (float): how much of the logistic cost wi...

the_stack_v2_python_sparse

MuPIA/pro2/modules/financial_mechanism.py

atsta/MuPIA

train

0

6cfb4c27f0a897695d4b0bf229f64f5d0d5bb378

[ "if headA is None or headB is None:\n return\ncur1 = headA\nwhile cur1:\n cur2 = headB\n while cur2:\n if cur1 == cur2:\n return cur1\n else:\n cur2 = cur2.next\n cur1 = cur1.next\nreturn", "listA = []\nif headA is None or headB is None:\n return\ncur1 = headA\nw...

<|body_start_0|> if headA is None or headB is None: return cur1 = headA while cur1: cur2 = headB while cur2: if cur1 == cur2: return cur1 else: cur2 = cur2.next cur1 = cur1.nex...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def getIntersectionNode(self, headA, headB): """采用边遍历边判断的方法,实现了功能,但是提交超时 :type head1, head1: ListNode :rtype: ListNode""" <|body_0|> def getIntersectionNode2(self, headA, headB): """采用先遍历后判断的逻辑,此种方法把链表的存储优势浪费了,使用庞大的列表,对空间的需求和遍历也是绝大的开支,仍超时 :param headA: :par...

stack_v2_sparse_classes_36k_train_004626

3,348

no_license

[ { "docstring": "采用边遍历边判断的方法,实现了功能,但是提交超时 :type head1, head1: ListNode :rtype: ListNode", "name": "getIntersectionNode", "signature": "def getIntersectionNode(self, headA, headB)" }, { "docstring": "采用先遍历后判断的逻辑,此种方法把链表的存储优势浪费了,使用庞大的列表,对空间的需求和遍历也是绝大的开支,仍超时 :param headA: :param headB: :return:", ...

4

stack_v2_sparse_classes_30k_train_000467

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def getIntersectionNode(self, headA, headB): 采用边遍历边判断的方法,实现了功能,但是提交超时 :type head1, head1: ListNode :rtype: ListNode - def getIntersectionNode2(self, headA, headB): 采用先遍历后判断的逻辑,此种...

16b6fc4247c91a919d38bf18835f10fc29fccca7

<|skeleton|> class Solution: def getIntersectionNode(self, headA, headB): """采用边遍历边判断的方法,实现了功能,但是提交超时 :type head1, head1: ListNode :rtype: ListNode""" <|body_0|> def getIntersectionNode2(self, headA, headB): """采用先遍历后判断的逻辑,此种方法把链表的存储优势浪费了,使用庞大的列表,对空间的需求和遍历也是绝大的开支,仍超时 :param headA: :par...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def getIntersectionNode(self, headA, headB): """采用边遍历边判断的方法,实现了功能,但是提交超时 :type head1, head1: ListNode :rtype: ListNode""" if headA is None or headB is None: return cur1 = headA while cur1: cur2 = headB while cur2: if...

the_stack_v2_python_sparse

problem_160.py

SeanLau/leetcode

train

0

5dfe6cc7aa0c84402992d3b7ec632fa5945a609d

[ "self._hass = hass\nself._step = step\nself._attr = attr\nself._state = 0\nself._hass.states.set(ENTITYID, self._state, attributes=self._attr)\ntrack_time_interval(self._hass, self.update, TIME_BETWEEN_UPDATES)", "f = open('C:\\\\\\\\Apache24\\\\\\\\htdocs\\\\\\\\index1.html', 'r')\nlinecache.clearcache()\na = li...

定义一个类，此类中存储了状态与属性值，并定时更新状态.

GrowingState

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004627

3,093

no_license

[ { "docstring": "GrwoingState类的初始化函数，参数为hass、step和attr.", "name": "__init__", "signature": "def __init__(self, hass, step, attr)" }, { "docstring": "在GrowingState类中定义函数update,更新状态.", "name": "update", "signature": "def update(self, now)" } ]

2

null

Implement the Python class `GrowingState` described below. Class description: 定义一个类，此类中存储了状态与属性值，并定时更新状态. Method signatures and docstrings: - def __init__(self, hass, step, attr): GrwoingState类的初始化函数，参数为hass、step和attr. - def update(self, now): 在GrowingState类中定义函数update,更新状态.

Implement the Python class `GrowingState` described below. Class description: 定义一个类，此类中存储了状态与属性值，并定时更新状态. Method signatures and docstrings: - def __init__(self, hass, step, attr): GrwoingState类的初始化函数，参数为hass、step和attr. - def update(self, now): 在GrowingState类中定义函数update,更新状态. <|skeleton|> class GrowingState: """定...

92aa2711b763a2c93be238825c445bf2db8da391

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class GrowingState: """定义一个类，此类中存储了状态与属性值，并定时更新状态.""" def __init__(self, hass, step, attr): """GrwoingState类的初始化函数，参数为hass、step和attr.""" self._hass = hass self._step = step self._attr = attr self._state = 0 self._hass.states.set(ENTITYID, self._state, attributes=...

the_stack_v2_python_sparse

l-team/team1/basketball/ha/Device2.py

mutiangua/EIS2020

train

0

c05276bb5d9a7603d89b900dabcadc7865a25b67

[ "intermediate = {}\nfor str in strs:\n key = ''.join(sorted(list(str)))\n if key in intermediate.keys():\n values = intermediate.get(key)\n values.append(str)\n else:\n intermediate[key] = [str]\nreturn [item for item in intermediate.values()]", "intermediate = {}\nfor str in strs:\n...

<|body_start_0|> intermediate = {} for str in strs: key = ''.join(sorted(list(str))) if key in intermediate.keys(): values = intermediate.get(key) values.append(str) else: intermediate[key] = [str] return [item f...

Solution

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004628

1,443

permissive

[ { "docstring": ":type strs: List[str] :rtype: List[List[str]]", "name": "groupAnagrams", "signature": "def groupAnagrams(self, strs)" }, { "docstring": ":type strs: List[str] :rtype: List[List[str]]", "name": "groupAnagrams_2", "signature": "def groupAnagrams_2(self, strs)" } ]

2

stack_v2_sparse_classes_30k_train_020111

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def groupAnagrams(self, strs): :type strs: List[str] :rtype: List[List[str]] - def groupAnagrams_2(self, strs): :type strs: List[str] :rtype: List[List[str]]

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def groupAnagrams(self, strs): :type strs: List[str] :rtype: List[List[str]] - def groupAnagrams_2(self, strs): :type strs: List[str] :rtype: List[List[str]] <|skeleton|> class ...

91c1ee4875a740d8be48fc9d74098a37e2f5cae6

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def groupAnagrams(self, strs): """:type strs: List[str] :rtype: List[List[str]]""" intermediate = {} for str in strs: key = ''.join(sorted(list(str))) if key in intermediate.keys(): values = intermediate.get(key) values....

the_stack_v2_python_sparse

Python_Test/PyCodePractice/com/djs/learn/GroupAnagrams.py

djsilenceboy/LearnTest

train

3

6cee6e2dbd7c9ee92196600fdd346f6b3afa8580

[ "if file_resources is None:\n file_resources = {}\n file_resources['NONCODEv5_source'] = os.path.join(path, 'NONCODEv5_source')\n file_resources['NONCODEv5_Transcript2Gene'] = os.path.join(path, 'NONCODEv5_Transcript2Gene')\n file_resources['NONCODEv5_human.func'] = os.path.join(path, 'NONCODEv5_human.f...

<|body_start_0|> if file_resources is None: file_resources = {} file_resources['NONCODEv5_source'] = os.path.join(path, 'NONCODEv5_source') file_resources['NONCODEv5_Transcript2Gene'] = os.path.join(path, 'NONCODEv5_Transcript2Gene') file_resources['NONCODEv5_huma...

Loads the NONCODE database from http://noncode.org . Default path: "http://www.noncode.org/datadownload" . Default file_resources: { "NONCODEv6_human.fa": "NONCODEv6_human.fa.gz", "": "", "": "", }

NONCODE

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NONCODE: """Loads the NONCODE database from http://noncode.org . Default path: "http://www.noncode.org/datadownload" . Default file_resources: { "NONCODEv6_human.fa": "NONCODEv6_human.fa.gz", "": "", "": "", }""" def __init__(self, path='http://www.noncode.org/datadownload', file_resources=N...

stack_v2_sparse_classes_36k_train_004629

19,914

permissive

[ { "docstring": "Args: path: file_resources: col_rename: verbose: blocksize:", "name": "__init__", "signature": "def __init__(self, path='http://www.noncode.org/datadownload', file_resources=None, col_rename=None, verbose=False, blocksize=None, **kwargs)" }, { "docstring": "Args: file_resources: ...

2

stack_v2_sparse_classes_30k_val_001011

Implement the Python class `NONCODE` described below. Class description: Loads the NONCODE database from http://noncode.org . Default path: "http://www.noncode.org/datadownload" . Default file_resources: { "NONCODEv6_human.fa": "NONCODEv6_human.fa.gz", "": "", "": "", } Method signatures and docstrings: - def __init_...

35a0e00964c9b308f831263936f9507a69f52613

<|skeleton|> class NONCODE: """Loads the NONCODE database from http://noncode.org . Default path: "http://www.noncode.org/datadownload" . Default file_resources: { "NONCODEv6_human.fa": "NONCODEv6_human.fa.gz", "": "", "": "", }""" def __init__(self, path='http://www.noncode.org/datadownload', file_resources=N...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class NONCODE: """Loads the NONCODE database from http://noncode.org . Default path: "http://www.noncode.org/datadownload" . Default file_resources: { "NONCODEv6_human.fa": "NONCODEv6_human.fa.gz", "": "", "": "", }""" def __init__(self, path='http://www.noncode.org/datadownload', file_resources=None, col_rena...

the_stack_v2_python_sparse

openomics/database/annotation.py

JonnyTran/OpenOmics

train

8

e69c481a2971bb0a8397ebb305c12a2ab23c6df3

[ "self.details = Details(selenium)\nself.legacy_rides = LegacyRideBooking(selenium)\nself.rides = Rides(selenium)", "ride: dict = ride_factory.build()\nrider = ride['rider']\nrider_name = f\"{rider['first_name']} {rider['last_name']}\"\nself.rides.visit()\nself.rides.navigate_to_legacy_ride_booking()\nself.legacy_...

<|body_start_0|> self.details = Details(selenium) self.legacy_rides = LegacyRideBooking(selenium) self.rides = Rides(selenium) <|end_body_0|> <|body_start_1|> ride: dict = ride_factory.build() rider = ride['rider'] rider_name = f"{rider['first_name']} {rider['last_name']...

Battery of tests for legacy ASAP ride booking functionality.

TestLegacyAsapRides

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TestLegacyAsapRides: """Battery of tests for legacy ASAP ride booking functionality.""" def set_pages(self, selenium: fixture) -> None: """Instantiate all pages used in ASAP ride testing.""" <|body_0|> def test_booking(self, ride_factory: factory, service: fixture) -> No...

stack_v2_sparse_classes_36k_train_004630

3,539

no_license

[ { "docstring": "Instantiate all pages used in ASAP ride testing.", "name": "set_pages", "signature": "def set_pages(self, selenium: fixture) -> None" }, { "docstring": "Input valid ride information for an asap ride, then check for a success state. This test is part of the smoke testing battery. ...

5

null

Implement the Python class `TestLegacyAsapRides` described below. Class description: Battery of tests for legacy ASAP ride booking functionality. Method signatures and docstrings: - def set_pages(self, selenium: fixture) -> None: Instantiate all pages used in ASAP ride testing. - def test_booking(self, ride_factory: ...

cf1fc925a8730bd416cd874dad3a836c86334589

<|skeleton|> class TestLegacyAsapRides: """Battery of tests for legacy ASAP ride booking functionality.""" def set_pages(self, selenium: fixture) -> None: """Instantiate all pages used in ASAP ride testing.""" <|body_0|> def test_booking(self, ride_factory: factory, service: fixture) -> No...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestLegacyAsapRides: """Battery of tests for legacy ASAP ride booking functionality.""" def set_pages(self, selenium: fixture) -> None: """Instantiate all pages used in ASAP ride testing.""" self.details = Details(selenium) self.legacy_rides = LegacyRideBooking(selenium) s...

the_stack_v2_python_sparse

integration/ondemand/admin/rides/test_legacy_ride_booking.py

jmt-transloc/ondemand-python

train

1

b404e61165b655a9d14ad76f1f3bc2d411e76d29

[ "self.font = pygame.font.SysFont('Century Gothic', 15)\nself.file_name = file_name\nif not os.path.isfile(self.file_name):\n self.on_empty_file()\nwith open(file_name) as f:\n self.scores = json.load(f)", "tmp = {'Alex': (222, '22.04.1997'), 'Oleg': (111, '09.04.1998')}\nwith open(self.file_name, 'w') as f:...

<|body_start_0|> self.font = pygame.font.SysFont('Century Gothic', 15) self.file_name = file_name if not os.path.isfile(self.file_name): self.on_empty_file() with open(file_name) as f: self.scores = json.load(f) <|end_body_0|> <|body_start_1|> tmp = {'Ale...

Leaderboard class :param file: name of file

Leaderboard

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004631

1,761

no_license

[ { "docstring": "Init leaderboard.", "name": "__init__", "signature": "def __init__(self, file_name=FILE_NAME)" }, { "docstring": "Fill empty file.", "name": "on_empty_file", "signature": "def on_empty_file(self)" }, { "docstring": "Save score from last game. :param name: name of ...

4

stack_v2_sparse_classes_30k_train_005230

Implement the Python class `Leaderboard` described below. Class description: Leaderboard class :param file: name of file Method signatures and docstrings: - def __init__(self, file_name=FILE_NAME): Init leaderboard. - def on_empty_file(self): Fill empty file. - def save_score(self, name, score): Save score from last ...

4b392ab5fd13734ec671e69f501ee842f95ae5b0

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Leaderboard: """Leaderboard class :param file: name of file""" def __init__(self, file_name=FILE_NAME): """Init leaderboard.""" self.font = pygame.font.SysFont('Century Gothic', 15) self.file_name = file_name if not os.path.isfile(self.file_name): self.on_empty...

the_stack_v2_python_sparse

leaderboard.py

BelyankovOO/JointProject

train

0

5f477eaf8233cc0cd2d72366b75ff88c2b2b54f7

[ "db = self.request.app['db']\ndocument = await virtool.otus.db.join_and_format(db, otu_id)\nif not document:\n raise NotFound()\nreturn json_response(document['isolates'])", "db = self.request.app['db']\nreference = await get_one_field(db.otus, 'reference', otu_id)\nif not reference:\n raise NotFound()\nif ...

IsolatesView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class IsolatesView: async def get(self, otu_id: str, /): """List isolates. Lists all the isolates and sequences for an OTU.""" <|body_0|> async def post(self, otu_id: str, /, data: CreateIsolateRequest) -> Union[r201[OTUIsolate], r401, r404]: """Create an isolate. Creates ...

stack_v2_sparse_classes_36k_train_004632

16,946

permissive

[ { "docstring": "List isolates. Lists all the isolates and sequences for an OTU.", "name": "get", "signature": "async def get(self, otu_id: str, /)" }, { "docstring": "Create an isolate. Creates an isolate on the OTU specified by `otu_id`.", "name": "post", "signature": "async def post(se...

2

null

Implement the Python class `IsolatesView` described below. Class description: Implement the IsolatesView class. Method signatures and docstrings: - async def get(self, otu_id: str, /): List isolates. Lists all the isolates and sequences for an OTU. - async def post(self, otu_id: str, /, data: CreateIsolateRequest) ->...

1d17d2ba570cf5487e7514bec29250a5b368bb0a

<|skeleton|> class IsolatesView: async def get(self, otu_id: str, /): """List isolates. Lists all the isolates and sequences for an OTU.""" <|body_0|> async def post(self, otu_id: str, /, data: CreateIsolateRequest) -> Union[r201[OTUIsolate], r401, r404]: """Create an isolate. Creates ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class IsolatesView: async def get(self, otu_id: str, /): """List isolates. Lists all the isolates and sequences for an OTU.""" db = self.request.app['db'] document = await virtool.otus.db.join_and_format(db, otu_id) if not document: raise NotFound() return json_re...

the_stack_v2_python_sparse

virtool/otus/api.py

virtool/virtool

train

45

30fc70590cbe446265c98b20da4c707a9b32f658

[ "self.source_addr = source_addr\nself.disconnected = False\nreturn super(SourceAddrStreamer, self).__init__(auth, listener, **kwargs)", "super(SourceAddrStreamer, self).new_session()\nif self.source_addr is not None:\n self.session.mount('http://', SourceAddressAdapter((self.source_addr, 0)))\n self.session...

Tweepy Stream wrapper for handling using source address adapter.

SourceAddrStreamer

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SourceAddrStreamer: """Tweepy Stream wrapper for handling using source address adapter.""" def __init__(self, auth, listener, source_addr=None, **kwargs): """store source address.""" <|body_0|> def new_session(self): """create new session with the source address....

stack_v2_sparse_classes_36k_train_004633

3,950

no_license

[ { "docstring": "store source address.", "name": "__init__", "signature": "def __init__(self, auth, listener, source_addr=None, **kwargs)" }, { "docstring": "create new session with the source address.", "name": "new_session", "signature": "def new_session(self)" }, { "docstring":...

3

stack_v2_sparse_classes_30k_train_016360

Implement the Python class `SourceAddrStreamer` described below. Class description: Tweepy Stream wrapper for handling using source address adapter. Method signatures and docstrings: - def __init__(self, auth, listener, source_addr=None, **kwargs): store source address. - def new_session(self): create new session wit...

96b24dae671e4dd1948decdb0d84ff3c5ce6981c

<|skeleton|> class SourceAddrStreamer: """Tweepy Stream wrapper for handling using source address adapter.""" def __init__(self, auth, listener, source_addr=None, **kwargs): """store source address.""" <|body_0|> def new_session(self): """create new session with the source address....

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SourceAddrStreamer: """Tweepy Stream wrapper for handling using source address adapter.""" def __init__(self, auth, listener, source_addr=None, **kwargs): """store source address.""" self.source_addr = source_addr self.disconnected = False return super(SourceAddrStreamer, ...

the_stack_v2_python_sparse

streamer.py

geosoco/twitter_capture_client

train

1

9e61c7fea8febb2273a0dab1bc3af0618bdd2246

[ "items = pickle_utils.LoadPickle(filename, compress=True, open_function=options.open_function)\nmodules = {name: Module(name, filename=None, ast=None, pickle=pickle, has_unresolved_pointers=False) for name, pickle in items}\nreturn cls(options, modules=modules, missing_modules=missing_modules)", "if not (mod_info...

<|body_start_0|> items = pickle_utils.LoadPickle(filename, compress=True, open_function=options.open_function) modules = {name: Module(name, filename=None, ast=None, pickle=pickle, has_unresolved_pointers=False) for name, pickle in items} return cls(options, modules=modules, missing_modules=miss...

A Loader which always loads pickle instead of PYI, for speed.

PickledPyiLoader

[ "Apache-2.0", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PickledPyiLoader: """A Loader which always loads pickle instead of PYI, for speed.""" def load_from_pickle(cls, filename, options, missing_modules=()): """Load a pytd module from a pickle file.""" <|body_0|> def load_module(self, mod_info, mod_ast=None): """Load ...

stack_v2_sparse_classes_36k_train_004634

29,651

permissive

[ { "docstring": "Load a pytd module from a pickle file.", "name": "load_from_pickle", "signature": "def load_from_pickle(cls, filename, options, missing_modules=())" }, { "docstring": "Load (or retrieve from cache) a module and resolve its dependencies.", "name": "load_module", "signature...

2

null

Implement the Python class `PickledPyiLoader` described below. Class description: A Loader which always loads pickle instead of PYI, for speed. Method signatures and docstrings: - def load_from_pickle(cls, filename, options, missing_modules=()): Load a pytd module from a pickle file. - def load_module(self, mod_info,...

bda0b9547af9a084bb2bd1427f58dcde968e48b5

<|skeleton|> class PickledPyiLoader: """A Loader which always loads pickle instead of PYI, for speed.""" def load_from_pickle(cls, filename, options, missing_modules=()): """Load a pytd module from a pickle file.""" <|body_0|> def load_module(self, mod_info, mod_ast=None): """Load ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PickledPyiLoader: """A Loader which always loads pickle instead of PYI, for speed.""" def load_from_pickle(cls, filename, options, missing_modules=()): """Load a pytd module from a pickle file.""" items = pickle_utils.LoadPickle(filename, compress=True, open_function=options.open_function...

the_stack_v2_python_sparse

pytype/load_pytd.py

google/pytype

train

4,595

3b94f443693a2e332147080ed39b32323363f3cd

[ "user = self.request.user\nif user.username == 'chris':\n return UploadedFile.objects.all()\nreturn UploadedFile.objects.filter(owner=user)", "response = super(UploadedFileList, self).list(request, *args, **kwargs)\nquery_list = [reverse('uploadedfile-list-query-search', request=request)]\nresponse = services....

A view for the collection of uploaded user files.

UploadedFileList

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UploadedFileList: """A view for the collection of uploaded user files.""" def get_queryset(self): """Overriden to return a custom queryset that is only comprised by the files owned by the currently authenticated user.""" <|body_0|> def list(self, request, *args, **kwargs...

stack_v2_sparse_classes_36k_train_004635

4,631

permissive

[ { "docstring": "Overriden to return a custom queryset that is only comprised by the files owned by the currently authenticated user.", "name": "get_queryset", "signature": "def get_queryset(self)" }, { "docstring": "Overriden to append document-level link relations and a collection+json template...

2

null

Implement the Python class `UploadedFileList` described below. Class description: A view for the collection of uploaded user files. Method signatures and docstrings: - def get_queryset(self): Overriden to return a custom queryset that is only comprised by the files owned by the currently authenticated user. - def lis...

20d3eedf20610af9182f6cca8db8f0b3546b5336

<|skeleton|> class UploadedFileList: """A view for the collection of uploaded user files.""" def get_queryset(self): """Overriden to return a custom queryset that is only comprised by the files owned by the currently authenticated user.""" <|body_0|> def list(self, request, *args, **kwargs...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UploadedFileList: """A view for the collection of uploaded user files.""" def get_queryset(self): """Overriden to return a custom queryset that is only comprised by the files owned by the currently authenticated user.""" user = self.request.user if user.username == 'chris': ...

the_stack_v2_python_sparse

chris_backend/uploadedfiles/views.py

FNNDSC/ChRIS_ultron_backEnd

train

36

ec83cb02476cf7cbc8047119f63cc717e95f51f2

[ "super().__init__(*args, command=HydraBase(), **kwargs)\nself.service = service\nself.login = login", "args = []\nif self.login:\n args.extend(['-L', cfg['tools.hydra.loginfile']])\nif self._port.is_ipv6:\n args.append('-6')\nargs.extend(['-P', cfg['tools.hydra.passwordfile'], '-s', str(self._port.number), ...

This is task for Hydra tool. Call Hydra and parse output

HydraScriptTask

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class HydraScriptTask: """This is task for Hydra tool. Call Hydra and parse output""" def __init__(self, service, login=True, *args, **kwargs): """Initialize variables Args: port (Port): Port for scanning service (str): Service name for scanning login (bool): Define if hydra should use log...

stack_v2_sparse_classes_36k_train_004636

1,216

permissive

[ { "docstring": "Initialize variables Args: port (Port): Port for scanning service (str): Service name for scanning login (bool): Define if hydra should use login or not *args: **kwargs:", "name": "__init__", "signature": "def __init__(self, service, login=True, *args, **kwargs)" }, { "docstring"...

2

stack_v2_sparse_classes_30k_train_008215

Implement the Python class `HydraScriptTask` described below. Class description: This is task for Hydra tool. Call Hydra and parse output Method signatures and docstrings: - def __init__(self, service, login=True, *args, **kwargs): Initialize variables Args: port (Port): Port for scanning service (str): Service name ...

bb21ff02965ed0cca5a55ee559eae77856d9866c

<|skeleton|> class HydraScriptTask: """This is task for Hydra tool. Call Hydra and parse output""" def __init__(self, service, login=True, *args, **kwargs): """Initialize variables Args: port (Port): Port for scanning service (str): Service name for scanning login (bool): Define if hydra should use log...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HydraScriptTask: """This is task for Hydra tool. Call Hydra and parse output""" def __init__(self, service, login=True, *args, **kwargs): """Initialize variables Args: port (Port): Port for scanning service (str): Service name for scanning login (bool): Define if hydra should use login or not *ar...

the_stack_v2_python_sparse

tools/hydra/tasks.py

collectivesense/aucote

train

0

bcf1b9c13fa954c345b9ae9778b1cea8e402d049

[ "super(MobiusAdd, self).__init__()\nself.pow = Pow()\nself.sum = ReduceSum(keep_dims=True)\nself.clamp_min = ClampMin()\nself.min_norm = min_norm", "x2 = self.sum(self.pow(x, 2), dim)\ny2 = self.sum(self.pow(y, 2), dim)\nxy = self.sum(x * y, dim)\nnum = (1 + 2 * c * xy + c * y2) * x + (1 - c * x2) * y\ndenom = 1 ...

mobius add

MobiusAdd

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004637

8,596

permissive

[ { "docstring": "init fun", "name": "__init__", "signature": "def __init__(self, min_norm)" }, { "docstring": "constructfun", "name": "construct", "signature": "def construct(self, x, y, c, dim=-1)" } ]

2

null

Implement the Python class `MobiusAdd` described below. Class description: mobius add Method signatures and docstrings: - def __init__(self, min_norm): init fun - def construct(self, x, y, c, dim=-1): constructfun

Implement the Python class `MobiusAdd` described below. Class description: mobius add Method signatures and docstrings: - def __init__(self, min_norm): init fun - def construct(self, x, y, c, dim=-1): constructfun <|skeleton|> class MobiusAdd: """mobius add""" def __init__(self, min_norm): """init f...

eab643f51336dbf7d711f02d27e6516e5affee59

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MobiusAdd: """mobius add""" def __init__(self, min_norm): """init fun""" super(MobiusAdd, self).__init__() self.pow = Pow() self.sum = ReduceSum(keep_dims=True) self.clamp_min = ClampMin() self.min_norm = min_norm def construct(self, x, y, c, dim=-1): ...

the_stack_v2_python_sparse

research/nlp/hypertext/src/poincare.py

mindspore-ai/models

train

301

85916d336328f7f703a77cd71ba4db60f09c7734

[ "if isinstance(key, int):\n return RouterAlert(key)\nif key not in RouterAlert._member_map_:\n return extend_enum(RouterAlert, key, default)\nreturn RouterAlert[key]", "if not (isinstance(value, int) and 0 <= value <= 65535):\n raise ValueError('%r is not a valid %s' % (value, cls.__name__))\nif 70 <= va...

[RouterAlert] IPv6 Router Alert Option Values

RouterAlert

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RouterAlert: """[RouterAlert] IPv6 Router Alert Option Values""" def get(key: 'int | str', default: 'int'=-1) -> 'RouterAlert': """Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:""" <|body_0|> def ...

stack_v2_sparse_classes_36k_train_004638

8,804

permissive

[ { "docstring": "Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:", "name": "get", "signature": "def get(key: 'int | str', default: 'int'=-1) -> 'RouterAlert'" }, { "docstring": "Lookup function used when value is not found....

2

null

Implement the Python class `RouterAlert` described below. Class description: [RouterAlert] IPv6 Router Alert Option Values Method signatures and docstrings: - def get(key: 'int | str', default: 'int'=-1) -> 'RouterAlert': Backport support for original codes. Args: key: Key to get enum item. default: Default value if ...

a6fe49ec58f09e105bec5a00fb66d9b3f22730d9

<|skeleton|> class RouterAlert: """[RouterAlert] IPv6 Router Alert Option Values""" def get(key: 'int | str', default: 'int'=-1) -> 'RouterAlert': """Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:""" <|body_0|> def ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RouterAlert: """[RouterAlert] IPv6 Router Alert Option Values""" def get(key: 'int | str', default: 'int'=-1) -> 'RouterAlert': """Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:""" if isinstance(key, int): ...

the_stack_v2_python_sparse

pcapkit/const/ipv6/router_alert.py

JarryShaw/PyPCAPKit

train

204

05d5ba533381fee995087a656975281a62bc8b17

[ "cost_matrix = np.array([[[4, 1, 3], [2, 0, 5], [3, 2, 2]]], dtype=np.float32)\n_, adjacency_matrix = matchers.hungarian_matching(tf.constant(cost_matrix))\nadjacency_output = adjacency_matrix.numpy()\ncorrect_output = np.array([[0, 1, 0], [1, 0, 0], [0, 0, 1]], dtype=bool)\nself.assertAllEqual(adjacency_output[0],...

<|body_start_0|> cost_matrix = np.array([[[4, 1, 3], [2, 0, 5], [3, 2, 2]]], dtype=np.float32) _, adjacency_matrix = matchers.hungarian_matching(tf.constant(cost_matrix)) adjacency_output = adjacency_matrix.numpy() correct_output = np.array([[0, 1, 0], [1, 0, 0], [0, 0, 1]], dtype=bool) ...

MatchersOpsTest

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MatchersOpsTest: def testLinearSumAssignment(self): """Check a simple 2D test case of the Linear Sum Assignment problem. Ensures that the implementation of the matching algorithm is correct and functional on TPUs.""" <|body_0|> def testBatchedLinearSumAssignment(self): ...

stack_v2_sparse_classes_36k_train_004639

3,439

permissive

[ { "docstring": "Check a simple 2D test case of the Linear Sum Assignment problem. Ensures that the implementation of the matching algorithm is correct and functional on TPUs.", "name": "testLinearSumAssignment", "signature": "def testLinearSumAssignment(self)" }, { "docstring": "Check a batched ...

4

null

Implement the Python class `MatchersOpsTest` described below. Class description: Implement the MatchersOpsTest class. Method signatures and docstrings: - def testLinearSumAssignment(self): Check a simple 2D test case of the Linear Sum Assignment problem. Ensures that the implementation of the matching algorithm is co...

d3507b550a3ade40cade60a79eb5b8978b56c7ae

<|skeleton|> class MatchersOpsTest: def testLinearSumAssignment(self): """Check a simple 2D test case of the Linear Sum Assignment problem. Ensures that the implementation of the matching algorithm is correct and functional on TPUs.""" <|body_0|> def testBatchedLinearSumAssignment(self): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MatchersOpsTest: def testLinearSumAssignment(self): """Check a simple 2D test case of the Linear Sum Assignment problem. Ensures that the implementation of the matching algorithm is correct and functional on TPUs.""" cost_matrix = np.array([[[4, 1, 3], [2, 0, 5], [3, 2, 2]]], dtype=np.float32)...

the_stack_v2_python_sparse

official/projects/detr/ops/matchers_test.py

jianzhnie/models

train

2

da0c4e1077bf059179a43f5ee32eeaa020ff1e03

[ "steps = dict()\n\ndef dfs(root, step):\n if root is None:\n return\n if step not in steps:\n steps[step] = root.val\n else:\n steps[step] = max(steps[step], root.val)\n if root.left:\n dfs(root.left, step + 1)\n if root.right:\n dfs(root.right, step + 1)\ndfs(root,...

<|body_start_0|> steps = dict() def dfs(root, step): if root is None: return if step not in steps: steps[step] = root.val else: steps[step] = max(steps[step], root.val) if root.left: dfs(root...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004640

1,886

no_license

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

2

stack_v2_sparse_classes_30k_test_000823

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

1520e1e9bb0c428797a3e5234e5b328110472c20

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def largestValues(self, root): """:type root: TreeNode :rtype: List[int]""" steps = dict() def dfs(root, step): if root is None: return if step not in steps: steps[step] = root.val else: step...

the_stack_v2_python_sparse

Depth-first Search/515. Find Largest Value in Each Tree Row.py

tinkle1129/Leetcode_Solution

train

0

a27d12c4a81e6ba65fd390657ca38f2b7ee02065

[ "loc_inactive = mixer.blend(Location, manager=None, active=False)\nurl = '/api/locations/'\nresponse = self.client.get(url)\nself.assertEqual(response.status_code, 200)\nself.assertNotContains(response, loc_inactive.name)", "url = '/api/locations/?location_id={}'.format(self.loc1.pk)\nresponse = self.client.get(u...

<|body_start_0|> loc_inactive = mixer.blend(Location, manager=None, active=False) url = '/api/locations/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertNotContains(response, loc_inactive.name) <|end_body_0|> <|body_start_1|> url =...

LocationResourceTestCase

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004641

18,653

permissive

[ { "docstring": "Test the LocationResource list response", "name": "test_list", "signature": "def test_list(self)" }, { "docstring": "Test the LocationResource filtered response", "name": "test_filter", "signature": "def test_filter(self)" } ]

2

stack_v2_sparse_classes_30k_val_000160

Implement the Python class `LocationResourceTestCase` described below. Class description: Implement the LocationResourceTestCase class. Method signatures and docstrings: - def test_list(self): Test the LocationResource list response - def test_filter(self): Test the LocationResource filtered response

Implement the Python class `LocationResourceTestCase` described below. Class description: Implement the LocationResourceTestCase class. Method signatures and docstrings: - def test_list(self): Test the LocationResource list response - def test_filter(self): Test the LocationResource filtered response <|skeleton|> cl...

4d5caceba69cac7f59b63745a0f52322004df2eb

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LocationResourceTestCase: def test_list(self): """Test the LocationResource list response""" loc_inactive = mixer.blend(Location, manager=None, active=False) url = '/api/locations/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self...

the_stack_v2_python_sparse

organisation/test_api.py

bryceprince0/it-assets

train

0

1b576beb7ed0ae60cc00d1ad100e17c81a2eb8ae

[ "self.run_time = run_time\nsuper().__init__(start_end_points, *args, **kwargs)\nself._next_dots_coords = {'x': self.x_funnel_center, 'y': self.y_point_bottom + self.y_bottom_shift * 2}", "current_coord = self._next_dots_coords.get('y')\nx_left_to_bottom_right = self.left_to_bottom_right.get_all_points()[-1][0]\nx...

<|body_start_0|> self.run_time = run_time super().__init__(start_end_points, *args, **kwargs) self._next_dots_coords = {'x': self.x_funnel_center, 'y': self.y_point_bottom + self.y_bottom_shift * 2} <|end_body_0|> <|body_start_1|> current_coord = self._next_dots_coords.get('y') ...

Overridden Funnel class to add 'movable' functionality

MovableFunnel

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MovableFunnel: """Overridden Funnel class to add 'movable' functionality""" def __init__(self, start_end_points: Tuple[tuple, tuple], run_time: Union[int, float], *args, **kwargs): """Class initialization. It receives all parameters that the Funnel class needs. Args: start_end_points...

stack_v2_sparse_classes_36k_train_004642

5,092

no_license

[ { "docstring": "Class initialization. It receives all parameters that the Funnel class needs. Args: start_end_points (Tuple[tuple, tuple]): Left top and right top points. ((x1,y1), (x2,y2)). run_time (Union[int, float]): How quickly we need to animate dots.", "name": "__init__", "signature": "def __init...

3

stack_v2_sparse_classes_30k_test_000108

Implement the Python class `MovableFunnel` described below. Class description: Overridden Funnel class to add 'movable' functionality Method signatures and docstrings: - def __init__(self, start_end_points: Tuple[tuple, tuple], run_time: Union[int, float], *args, **kwargs): Class initialization. It receives all param...

290bf56ef888283a0225939ed8b1f87445e506d0

<|skeleton|> class MovableFunnel: """Overridden Funnel class to add 'movable' functionality""" def __init__(self, start_end_points: Tuple[tuple, tuple], run_time: Union[int, float], *args, **kwargs): """Class initialization. It receives all parameters that the Funnel class needs. Args: start_end_points...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MovableFunnel: """Overridden Funnel class to add 'movable' functionality""" def __init__(self, start_end_points: Tuple[tuple, tuple], run_time: Union[int, float], *args, **kwargs): """Class initialization. It receives all parameters that the Funnel class needs. Args: start_end_points (Tuple[tuple...

the_stack_v2_python_sparse

classes/movable_funnel.py

mohovkm/habr_manim

train

0

10a919e8a5978aeb8eaf66409f071a2e553cf04e

[ "self._unix_start = datetime(1970, 1, 1)\nt = Time(mjd_init, format='mjd')\nself.initial_dt = t.datetime", "if datetime2 is None:\n datetime2 = self._unix_start\nif reverse:\n return (datetime1 - datetime2).total_seconds()\nelse:\n return (datetime2 - datetime1).total_seconds()" ]

Don't need the full time handler, so save a dependency and use this.

dummy_time_handler

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class dummy_time_handler: """Don't need the full time handler, so save a dependency and use this.""" def __init__(self, mjd_init): """Parameters ---------- mjd_init : float The initial mjd""" <|body_0|> def time_since_given_datetime(self, datetime1, datetime2=None, reverse=Fal...

stack_v2_sparse_classes_36k_train_004643

17,828

no_license

[ { "docstring": "Parameters ---------- mjd_init : float The initial mjd", "name": "__init__", "signature": "def __init__(self, mjd_init)" }, { "docstring": "Really? We need a method to do one line of arithmatic?", "name": "time_since_given_datetime", "signature": "def time_since_given_dat...

2

stack_v2_sparse_classes_30k_train_015892

Implement the Python class `dummy_time_handler` described below. Class description: Don't need the full time handler, so save a dependency and use this. Method signatures and docstrings: - def __init__(self, mjd_init): Parameters ---------- mjd_init : float The initial mjd - def time_since_given_datetime(self, dateti...

20fd8cfe38dbecfd6f219086e273eefe3ff6ff07

<|skeleton|> class dummy_time_handler: """Don't need the full time handler, so save a dependency and use this.""" def __init__(self, mjd_init): """Parameters ---------- mjd_init : float The initial mjd""" <|body_0|> def time_since_given_datetime(self, datetime1, datetime2=None, reverse=Fal...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class dummy_time_handler: """Don't need the full time handler, so save a dependency and use this.""" def __init__(self, mjd_init): """Parameters ---------- mjd_init : float The initial mjd""" self._unix_start = datetime(1970, 1, 1) t = Time(mjd_init, format='mjd') self.initial_d...

the_stack_v2_python_sparse

python/lsst/sims/speedObservatory/speed_observatory.py

lsst-sims/sims_speedObservatory

train

0

8ce3b2fbb084bc6f71691afb43803d49e56379cf

[ "image_groups = mall_models.ImageGroup.objects.filter(owner=request.manager)\ngroup_ids = []\nid2group = {}\nfor image_group in image_groups:\n image_group.images = []\n group_ids.append(image_group.id)\n id2group[image_group.id] = image_group\ntarget_image_groups = mall_models.Image.objects.filter(group_i...

<|body_start_0|> image_groups = mall_models.ImageGroup.objects.filter(owner=request.manager) group_ids = [] id2group = {} for image_group in image_groups: image_group.images = [] group_ids.append(image_group.id) id2group[image_group.id] = image_group ...

ImageGroupList

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ImageGroupList: def get(request): """图片分组列表页面 Note 每个图片分组最多显示8张图片""" <|body_0|> def api_get(request): """获取图片分组信息 Return json: data [{ "id": 1, "name": "图片分组1" }, { "id": 2, "name": "图片分组2" }, { ...... }]""" <|body_1|> <|end_skeleton|> <|body_start_0|> ...

stack_v2_sparse_classes_36k_train_004644

5,963

no_license

[ { "docstring": "图片分组列表页面 Note 每个图片分组最多显示8张图片", "name": "get", "signature": "def get(request)" }, { "docstring": "获取图片分组信息 Return json: data [{ \"id\": 1, \"name\": \"图片分组1\" }, { \"id\": 2, \"name\": \"图片分组2\" }, { ...... }]", "name": "api_get", "signature": "def api_get(request)" } ]

2

null

Implement the Python class `ImageGroupList` described below. Class description: Implement the ImageGroupList class. Method signatures and docstrings: - def get(request): 图片分组列表页面 Note 每个图片分组最多显示8张图片 - def api_get(request): 获取图片分组信息 Return json: data [{ "id": 1, "name": "图片分组1" }, { "id": 2, "name": "图片分组2" }, { ........

8b2f7befe92841bcc35e0e60cac5958ef3f3af54

<|skeleton|> class ImageGroupList: def get(request): """图片分组列表页面 Note 每个图片分组最多显示8张图片""" <|body_0|> def api_get(request): """获取图片分组信息 Return json: data [{ "id": 1, "name": "图片分组1" }, { "id": 2, "name": "图片分组2" }, { ...... }]""" <|body_1|> <|end_skeleton|>

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ImageGroupList: def get(request): """图片分组列表页面 Note 每个图片分组最多显示8张图片""" image_groups = mall_models.ImageGroup.objects.filter(owner=request.manager) group_ids = [] id2group = {} for image_group in image_groups: image_group.images = [] group_ids.appen...

the_stack_v2_python_sparse

weapp/mall/product/image_group.py

chengdg/weizoom

train

1

0c537649fc89f3a6db7c05b8ef1c75265fe7524d

[ "if reflection_table.get_flags(reflection_table.flags.integrated_prf).count(True) == 0:\n raise NoProfilesException('WARNING: No profile-integrated reflections found')\nselection = reflection_table.get_flags(reflection_table.flags.integrated, all=False)\nreflection_table = reflection_table.select(selection)\nlog...

<|body_start_0|> if reflection_table.get_flags(reflection_table.flags.integrated_prf).count(True) == 0: raise NoProfilesException('WARNING: No profile-integrated reflections found') selection = reflection_table.get_flags(reflection_table.flags.integrated, all=False) reflection_table ...

Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained.

SumORPrfIntensityReducer

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SumORPrfIntensityReducer: """Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained.""" def reduce_on_intensities(reflection_table): """Select reflections successfully integrated by sum and prf methods.""" ...

stack_v2_sparse_classes_36k_train_004645

38,270

permissive

[ { "docstring": "Select reflections successfully integrated by sum and prf methods.", "name": "reduce_on_intensities", "signature": "def reduce_on_intensities(reflection_table)" }, { "docstring": "Apply corrections to the intensities and variances (partiality, lp, qe).", "name": "apply_scalin...

2

null

Implement the Python class `SumORPrfIntensityReducer` described below. Class description: Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained. Method signatures and docstrings: - def reduce_on_intensities(reflection_table): Select reflection...

88bf7f7c5ac44defc046ebf0719cde748092cfff

<|skeleton|> class SumORPrfIntensityReducer: """Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained.""" def reduce_on_intensities(reflection_table): """Select reflections successfully integrated by sum and prf methods.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class SumORPrfIntensityReducer: """Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained.""" def reduce_on_intensities(reflection_table): """Select reflections successfully integrated by sum and prf methods.""" if reflec...

the_stack_v2_python_sparse

src/dials/util/filter_reflections.py

dials/dials

train

71

0678892165feb626db38e06a804eecf309c843e3

[ "super(String, self).__init__(has_msg_time=has_msg_time, interpolate=False)\nself._fields = {'data': [], 'bag_time': [], 'msg_time': []}\nself._has_msg_time = has_msg_time", "self._fields['bag_time'] = numpy.array(self._fields['bag_time'])\nif self._has_msg_time:\n self._fields['msg_time'] = numpy.array(self._...

<|body_start_0|> super(String, self).__init__(has_msg_time=has_msg_time, interpolate=False) self._fields = {'data': [], 'bag_time': [], 'msg_time': []} self._has_msg_time = has_msg_time <|end_body_0|> <|body_start_1|> self._fields['bag_time'] = numpy.array(self._fields['bag_time']) ...

Record for std_msgs/Int64 types

String

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class String: """Record for std_msgs/Int64 types""" def __init__(self, has_msg_time=False): """Constructor Arguments: has_msg_time: optional bool indicating if this record should have a message time. Typically false, but if this is part of a message, then it could have a message stamp Retu...

stack_v2_sparse_classes_36k_train_004646

15,317

permissive

[ { "docstring": "Constructor Arguments: has_msg_time: optional bool indicating if this record should have a message time. Typically false, but if this is part of a message, then it could have a message stamp Returns: class instance", "name": "__init__", "signature": "def __init__(self, has_msg_time=False...

2

stack_v2_sparse_classes_30k_train_019935

Implement the Python class `String` described below. Class description: Record for std_msgs/Int64 types Method signatures and docstrings: - def __init__(self, has_msg_time=False): Constructor Arguments: has_msg_time: optional bool indicating if this record should have a message time. Typically false, but if this is p...

6827886916e36432ce1d806f0a78edef6c9270d9

<|skeleton|> class String: """Record for std_msgs/Int64 types""" def __init__(self, has_msg_time=False): """Constructor Arguments: has_msg_time: optional bool indicating if this record should have a message time. Typically false, but if this is part of a message, then it could have a message stamp Retu...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class String: """Record for std_msgs/Int64 types""" def __init__(self, has_msg_time=False): """Constructor Arguments: has_msg_time: optional bool indicating if this record should have a message time. Typically false, but if this is part of a message, then it could have a message stamp Returns: class in...

the_stack_v2_python_sparse

rosbots/src/bag_records/std_records.py

aivian/robots

train

0

29a0207d464e839ae7c118a61c950bae683ba7d3

[ "if field == 'current_password':\n if current_user.password != value and obj.password != value:\n abort(code=HTTPStatus.FORBIDDEN, message='Wrong password')\n else:\n state['current_password'] = value\n return True\nreturn PatchJSONParameters.test(obj, field, value, state)", "if 'curren...

<|body_start_0|> if field == 'current_password': if current_user.password != value and obj.password != value: abort(code=HTTPStatus.FORBIDDEN, message='Wrong password') else: state['current_password'] = value return True return Patc...

User details updating parameters following PATCH JSON RFC.

PatchUserDetailsParameters

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class PatchUserDetailsParameters: """User details updating parameters following PATCH JSON RFC.""" def test(cls, obj, field, value, state): """Additional check for 'current_password' as User hasn't field 'current_password'""" <|body_0|> def replace(cls, obj, field, value, stat...

stack_v2_sparse_classes_36k_train_004647

4,647

permissive

[ { "docstring": "Additional check for 'current_password' as User hasn't field 'current_password'", "name": "test", "signature": "def test(cls, obj, field, value, state)" }, { "docstring": "Some fields require extra permissions to be changed. Changing `is_active` and `is_regular_user` properties, ...

2

stack_v2_sparse_classes_30k_train_015694

Implement the Python class `PatchUserDetailsParameters` described below. Class description: User details updating parameters following PATCH JSON RFC. Method signatures and docstrings: - def test(cls, obj, field, value, state): Additional check for 'current_password' as User hasn't field 'current_password' - def repl...

53a3a156cc9df414537860ed677bd0cc98dd2271

<|skeleton|> class PatchUserDetailsParameters: """User details updating parameters following PATCH JSON RFC.""" def test(cls, obj, field, value, state): """Additional check for 'current_password' as User hasn't field 'current_password'""" <|body_0|> def replace(cls, obj, field, value, stat...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class PatchUserDetailsParameters: """User details updating parameters following PATCH JSON RFC.""" def test(cls, obj, field, value, state): """Additional check for 'current_password' as User hasn't field 'current_password'""" if field == 'current_password': if current_user.password ...

the_stack_v2_python_sparse

app/modules/users/parameters.py

frol/flask-restplus-server-example

train

1,487

1b1410532e60719cdc65b0b7b86070f289323594

[ "self.min_cutoff = min_cutoff\nself.beta = beta\nself.d_cutoff = d_cutoff", "t_e = 1\na_d = smoothing_factor(t_e, self.d_cutoff)\ndx = np.sqrt(np.sum((x - x_prev) ** 2, axis=1))\ndx_prev = np.sqrt(np.sum(dx_prev ** 2, axis=1))\ndx_hat = exponential_smoothing(a_d, dx, dx_prev)\ncutoff = self.min_cutoff + self.beta...

OneEuroFilter

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004648

4,561

permissive

[ { "docstring": "Initialize the one euro filter.", "name": "__init__", "signature": "def __init__(self, dx0=0.0, min_cutoff=0.15, beta=0.8, d_cutoff=1)" }, { "docstring": "Compute the filtered signal.", "name": "__call__", "signature": "def __call__(self, x, x_prev, dx_prev)" } ]

2

stack_v2_sparse_classes_30k_val_000916

Implement the Python class `OneEuroFilter` described below. Class description: Implement the OneEuroFilter class. Method signatures and docstrings: - def __init__(self, dx0=0.0, min_cutoff=0.15, beta=0.8, d_cutoff=1): Initialize the one euro filter. - def __call__(self, x, x_prev, dx_prev): Compute the filtered signa...

3f1aaa3a8724078b080d64cf5d18dcdfae41bafe

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class OneEuroFilter: def __init__(self, dx0=0.0, min_cutoff=0.15, beta=0.8, d_cutoff=1): """Initialize the one euro filter.""" self.min_cutoff = min_cutoff self.beta = beta self.d_cutoff = d_cutoff def __call__(self, x, x_prev, dx_prev): """Compute the filtered signal.""...

the_stack_v2_python_sparse

Skps/core/smoother/lk.py

1996scarlet/Peppa_Pig_Face_Engine

train

1

a120a9709b5514f32d0ad4ef32665fec3e1dca8a

[ "self.bus_number = bus_number\nself.controller_type = controller_type\nself.disk_id = disk_id\nself.disk_location = disk_location\nself.disk_size_in_bytes = disk_size_in_bytes\nself.file_path = file_path\nself.mount_points = mount_points\nself.unit_number = unit_number", "if dictionary is None:\n return None\n...

<|body_start_0|> self.bus_number = bus_number self.controller_type = controller_type self.disk_id = disk_id self.disk_location = disk_location self.disk_size_in_bytes = disk_size_in_bytes self.file_path = file_path self.mount_points = mount_points self.uni...

Implementation of the 'VirtualDiskInformation' model. TODO: type description here. Attributes: bus_number (long|int): Specifies the Id of the controller bus that controls the disk. controller_type (string): Specifies the controller type like SCSI, or IDE etc. disk_id (string): Specifies original disk id. This is suffic...

VirtualDiskInformation

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VirtualDiskInformation: """Implementation of the 'VirtualDiskInformation' model. TODO: type description here. Attributes: bus_number (long|int): Specifies the Id of the controller bus that controls the disk. controller_type (string): Specifies the controller type like SCSI, or IDE etc. disk_id (s...

stack_v2_sparse_classes_36k_train_004649

3,759

permissive

[ { "docstring": "Constructor for the VirtualDiskInformation class", "name": "__init__", "signature": "def __init__(self, bus_number=None, controller_type=None, disk_id=None, disk_location=None, disk_size_in_bytes=None, file_path=None, mount_points=None, unit_number=None)" }, { "docstring": "Creat...

2

null

Implement the Python class `VirtualDiskInformation` described below. Class description: Implementation of the 'VirtualDiskInformation' model. TODO: type description here. Attributes: bus_number (long|int): Specifies the Id of the controller bus that controls the disk. controller_type (string): Specifies the controller...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class VirtualDiskInformation: """Implementation of the 'VirtualDiskInformation' model. TODO: type description here. Attributes: bus_number (long|int): Specifies the Id of the controller bus that controls the disk. controller_type (string): Specifies the controller type like SCSI, or IDE etc. disk_id (s...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VirtualDiskInformation: """Implementation of the 'VirtualDiskInformation' model. TODO: type description here. Attributes: bus_number (long|int): Specifies the Id of the controller bus that controls the disk. controller_type (string): Specifies the controller type like SCSI, or IDE etc. disk_id (string): Speci...

the_stack_v2_python_sparse

cohesity_management_sdk/models/virtual_disk_information.py

cohesity/management-sdk-python

train

24

ad895b4965b7fa949fac62d9fda0a42763128093

[ "self.snapshot = snapshot\nself.output_dir = output_dir\nprint(f'Initializing with snapshot={self.snapshot} output_dir={self.output_dir}')", "if not os.path.exists(self.output_dir):\n os.makedirs(self.output_dir)\npm.execute_notebook('Dataset_metrics.ipynb', self.output_dir + '/dataset_metrics_' + self.snapsho...

<|body_start_0|> self.snapshot = snapshot self.output_dir = output_dir print(f'Initializing with snapshot={self.snapshot} output_dir={self.output_dir}') <|end_body_0|> <|body_start_1|> if not os.path.exists(self.output_dir): os.makedirs(self.output_dir) pm.execute_no...

DatasetMetricsRunner

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004650

1,422

no_license

[ { "docstring": ":param str snapshot: Snapshot date :param str output_dir: Directory to place output .ipynb and .csv files", "name": "__init__", "signature": "def __init__(self, snapshot, output_dir)" }, { "docstring": "Executes jupyter notebook", "name": "run", "signature": "def run(self...

2

stack_v2_sparse_classes_30k_test_000544

Implement the Python class `DatasetMetricsRunner` described below. Class description: Implement the DatasetMetricsRunner class. Method signatures and docstrings: - def __init__(self, snapshot, output_dir): :param str snapshot: Snapshot date :param str output_dir: Directory to place output .ipynb and .csv files - def ...

6149d86e9d6f45cf035d89e6874b5ad7d1fdb5a7

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DatasetMetricsRunner: def __init__(self, snapshot, output_dir): """:param str snapshot: Snapshot date :param str output_dir: Directory to place output .ipynb and .csv files""" self.snapshot = snapshot self.output_dir = output_dir print(f'Initializing with snapshot={self.snapsho...

the_stack_v2_python_sparse

dataset_metrics/dataset_metrics_runner.py

mirrys/ImageMatching

train

2

7d696327500cc75771d42822ae7a22e282acbbe8

[ "try:\n assert init_ad_manage.get_title() == '广告管理'\n assert '广告管理' in init_ad_manage.get_info_title()\nexcept Exception as e:\n raise e", "init_search_ad[0].search_ad(ad.api_ad_name)\ntry:\n assert ad.api_ad_name in init_search_ad[0].get_ad_name()\n assert init_search_ad[0].get_status() == 'el-swi...

广告管理

TestAd

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004651

1,641

no_license

[ { "docstring": "网页标题校验 :return:", "name": "test01_title_name", "signature": "def test01_title_name(self, init_ad_manage)" }, { "docstring": "广告名称搜索 :return:", "name": "test02_search_ad", "signature": "def test02_search_ad(self, init_search_ad)" }, { "docstring": "新增广告 :return:", ...

4

stack_v2_sparse_classes_30k_train_007639

Implement the Python class `TestAd` described below. Class description: 广告管理 Method signatures and docstrings: - def test01_title_name(self, init_ad_manage): 网页标题校验 :return: - def test02_search_ad(self, init_search_ad): 广告名称搜索 :return: - def test03_add_ad(self, init_ad_manage): 新增广告 :return: - def test04_del_ad(self,...

b6905b765d84263439e459d6281cd2440e634cef

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class TestAd: """广告管理""" def test01_title_name(self, init_ad_manage): """网页标题校验 :return:""" try: assert init_ad_manage.get_title() == '广告管理' assert '广告管理' in init_ad_manage.get_info_title() except Exception as e: raise e def test02_search_ad(self...

the_stack_v2_python_sparse

TestCases/test_05_ad_page.py

Dake-M/boss_web_framework

train

0

6a9e6755df7dc1d2e15a9aa9f95f6b6bafcd687f

[ "count = 0\nfor i in range(len(nums)):\n total = 1\n for j in range(i, len(nums)):\n total *= nums[j]\n if total < k:\n count += 1\n else:\n break\nreturn count", "if k <= 1:\n return 0\ncount, product, l = (0, 1, 0)\nfor r in range(len(nums)):\n product *= n...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004652

1,122

no_license

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

2

stack_v2_sparse_classes_30k_test_001012

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

b5c25f976866eefec33b96c638a4c5e127319e74

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def numSubarrayProductLessThanK_(self, nums, k): """:type nums: List[int] :type k: int :rtype: int""" count = 0 for i in range(len(nums)): total = 1 for j in range(i, len(nums)): total *= nums[j] if total < k: ...

the_stack_v2_python_sparse

Python/713_Subarray Product Less Than K.py

Eddie02582/Leetcode

train

1

60eecbc9886dc6e7e022d5c87830e49e1975c31f

[ "self.quark = quark\nself.nucleon = nucleon\nself.ip = input_dict", "if self.nucleon == 'p':\n if self.quark == 'u':\n return self.ip['Deltaup']\n if self.quark == 'd':\n return self.ip['Deltadp']\n if self.quark == 's':\n return self.ip['Deltas']\nif self.nucleon == 'n':\n if sel...

FA

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FA: def __init__(self, quark, nucleon, input_dict): """The nuclear form factor FA at zero momentum transfer Return the nuclear form factor FA, evaluated at zero momentum transfer. Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the ...

stack_v2_sparse_classes_36k_train_004653

18,337

permissive

[ { "docstring": "The nuclear form factor FA at zero momentum transfer Return the nuclear form factor FA, evaluated at zero momentum transfer. Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the nucleon (proton or neutron) input_dict (optional) -- a dictiona...

2

stack_v2_sparse_classes_30k_train_012513

Implement the Python class `FA` described below. Class description: Implement the FA class. Method signatures and docstrings: - def __init__(self, quark, nucleon, input_dict): The nuclear form factor FA at zero momentum transfer Return the nuclear form factor FA, evaluated at zero momentum transfer. Arguments -------...

4a714e4701f817fdc96e10e461eef7c4756ef71d

<|skeleton|> class FA: def __init__(self, quark, nucleon, input_dict): """The nuclear form factor FA at zero momentum transfer Return the nuclear form factor FA, evaluated at zero momentum transfer. Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FA: def __init__(self, quark, nucleon, input_dict): """The nuclear form factor FA at zero momentum transfer Return the nuclear form factor FA, evaluated at zero momentum transfer. Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the nucleon (proto...

the_stack_v2_python_sparse

directdm/num/single_nucleon_form_factors.py

DirectDM/directdm-py

train

6

890f860c2394aafc4cd78bae4b8ae3ba933e3ccb

[ "heapq.heapify(nodes)\nwhile len(nodes) > 1:\n left = heapq.heappop(nodes)\n right = heapq.heappop(nodes)\n node = self._merge(left, right)\n heapq.heappush(nodes, node)\nself.root = node", "symbol = left._symbol + right._symbol\nweight = left._weight + right._weight\nnode = Node(symbol, weight, left,...

HuffmanTree

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004654

2,759

no_license

[ { "docstring": "Build a Huffman Tree with given nodes.", "name": "build", "signature": "def build(self, nodes)" }, { "docstring": "Merge the given two nodes and return a new one.", "name": "_merge", "signature": "def _merge(self, left, right)" }, { "docstring": "Return the depth ...

4

stack_v2_sparse_classes_30k_train_011333

Implement the Python class `HuffmanTree` described below. Class description: Implement the HuffmanTree class. Method signatures and docstrings: - def build(self, nodes): Build a Huffman Tree with given nodes. - def _merge(self, left, right): Merge the given two nodes and return a new one. - def _depth(self, node): Re...

222ee034fe2943c2e5ee1a9e642d108b046b2f2a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HuffmanTree: def build(self, nodes): """Build a Huffman Tree with given nodes.""" heapq.heapify(nodes) while len(nodes) > 1: left = heapq.heappop(nodes) right = heapq.heappop(nodes) node = self._merge(left, right) heapq.heappush(nodes, no...

the_stack_v2_python_sparse

03 Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming/algo3assignments/Programming Assignment #3/Huffman.py

peng00bo00/Coursera-Algorithms

train

0

b717320569bba8faa2c3e5d0bb005153310ba05c

[ "d = {}\nfor i in range(len(nums)):\n k = target - nums[i]\n if d.get(k) != None:\n return [d.get(k), i]\n else:\n d[nums[i]] = i", "n = len(nums)\nfor i in range(n):\n for j in range(i + 1, n):\n if nums[i] + nums[j] == target:\n return [i, j]" ]

<|body_start_0|> d = {} for i in range(len(nums)): k = target - nums[i] if d.get(k) != None: return [d.get(k), i] else: d[nums[i]] = i <|end_body_0|> <|body_start_1|> n = len(nums) for i in range(n): for j i...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def twoSum(self, nums, target): """使用辅助字典键: nums[i] 值:索引 :param nums: :param target: :return:""" <|body_0|> def twoSum2(self, nums, target): """暴力 :param nums: :param target: :return:""" <|body_1|> <|end_skeleton|> <|body_start_0|> d = {}...

stack_v2_sparse_classes_36k_train_004655

1,227

no_license

[ { "docstring": "使用辅助字典键: nums[i] 值:索引 :param nums: :param target: :return:", "name": "twoSum", "signature": "def twoSum(self, nums, target)" }, { "docstring": "暴力 :param nums: :param target: :return:", "name": "twoSum2", "signature": "def twoSum2(self, nums, target)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def twoSum(self, nums, target): 使用辅助字典键: nums[i] 值:索引 :param nums: :param target: :return: - def twoSum2(self, nums, target): 暴力 :param nums: :param target: :return:

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def twoSum(self, nums, target): 使用辅助字典键: nums[i] 值:索引 :param nums: :param target: :return: - def twoSum2(self, nums, target): 暴力 :param nums: :param target: :return: <|skeleton...

5d3574ccd282d0146c83c286ae28d8baaabd4910

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def twoSum(self, nums, target): """使用辅助字典键: nums[i] 值:索引 :param nums: :param target: :return:""" d = {} for i in range(len(nums)): k = target - nums[i] if d.get(k) != None: return [d.get(k), i] else: d[nums[...

the_stack_v2_python_sparse

1_两数之和.py

lovehhf/LeetCode

train

0

b40d4481f6e5e3d62c31cad08b88c40ee2d0a252

[ "super(ResNetRoIHead, self).__init__()\nassert len({len(pool_size), len(dim_in)}) == 1, 'pathway dimensions are not consistent.'\nself.num_pathways = len(pool_size)\nself.pool_size = pool_size\nself.resolution = resolution\nself.scale_factor = scale_factor\nfor pathway in range(self.num_pathways):\n spatial_pool...

<|body_start_0|> super(ResNetRoIHead, self).__init__() assert len({len(pool_size), len(dim_in)}) == 1, 'pathway dimensions are not consistent.' self.num_pathways = len(pool_size) self.pool_size = pool_size self.resolution = resolution self.scale_factor = scale_factor ...

ResNe(X)t RoI head.

ResNetRoIHead

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class ResNetRoIHead: """ResNe(X)t RoI head.""" def __init__(self, dim_in, num_classes, pool_size, resolution, scale_factor, dropout_rate=0.0, act_func='softmax', aligned=True): """The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as i...

stack_v2_sparse_classes_36k_train_004656

6,336

permissive

[ { "docstring": "The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as input where p in [1, infty]. Args: dim_in (list): the list of channel dimensions of the p inputs to the ResNetHead. num_classes (int): the channel dimensions of the p outputs to the ResNe...

2

null

Implement the Python class `ResNetRoIHead` described below. Class description: ResNe(X)t RoI head. Method signatures and docstrings: - def __init__(self, dim_in, num_classes, pool_size, resolution, scale_factor, dropout_rate=0.0, act_func='softmax', aligned=True): The `__init__` method of any subclass should also con...

eab643f51336dbf7d711f02d27e6516e5affee59

<|skeleton|> class ResNetRoIHead: """ResNe(X)t RoI head.""" def __init__(self, dim_in, num_classes, pool_size, resolution, scale_factor, dropout_rate=0.0, act_func='softmax', aligned=True): """The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ResNetRoIHead: """ResNe(X)t RoI head.""" def __init__(self, dim_in, num_classes, pool_size, resolution, scale_factor, dropout_rate=0.0, act_func='softmax', aligned=True): """The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as input where p ...

the_stack_v2_python_sparse

research/cv/slowfast/src/models/head_helper.py

mindspore-ai/models

train

301

0d60b7b8526aa669ba65b13104a262556c82576a

[ "if keys is None:\n keys = ['ymin', 'xmin', 'ymax', 'xmax']\nelif len(keys) != 4:\n raise ValueError('BoundingBox expects 4 keys but got {}'.format(len(keys)))\nself._prefix = prefix\nself._keys = keys\nself._full_keys = [prefix + k for k in keys]\nsuper(BoundingBox, self).__init__(self._full_keys)", "sides...

<|body_start_0|> if keys is None: keys = ['ymin', 'xmin', 'ymax', 'xmax'] elif len(keys) != 4: raise ValueError('BoundingBox expects 4 keys but got {}'.format(len(keys))) self._prefix = prefix self._keys = keys self._full_keys = [prefix + k for k in keys] ...

An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes.

BoundingBox

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BoundingBox: """An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes.""" def __init__(self, keys=None, prefix=None): """Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix f...

stack_v2_sparse_classes_36k_train_004657

15,383

permissive

[ { "docstring": "Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix for each of the bounding box keys. If provided, `prefix` is appended to each key in `keys`. Raises: ValueError: if keys is not `None` and also not a list o...

2

stack_v2_sparse_classes_30k_train_004413

Implement the Python class `BoundingBox` described below. Class description: An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes. Method signatures and docstrings: - def __init__(self, keys=None, prefix=None): Initialize the bounding box handler. Args: keys: A list of four key names representin...

cabf6e4f1970dc14302f87414f170de19944bac2

<|skeleton|> class BoundingBox: """An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes.""" def __init__(self, keys=None, prefix=None): """Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix f...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BoundingBox: """An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes.""" def __init__(self, keys=None, prefix=None): """Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix for each of th...

the_stack_v2_python_sparse

Tensorflow_OpenCV_Nightly/source/tensorflow/contrib/slim/python/slim/data/tfexample_decoder.py

ryfeus/lambda-packs

train

1,283

d29f95f199c956504a18cb5772affd88114721b1

[ "self.map = {}\nfor i in blacklist:\n self.map[i] = 1\nself.M = N - len(blacklist)\nfor i in blacklist:\n if i < self.M:\n N = N - 1\n while N in self.map:\n N -= 1\n self.map[i] = N", "import random\nres = random.randint(0, self.M - 1)\nreturn self.map[res] if res in self.ma...

<|body_start_0|> self.map = {} for i in blacklist: self.map[i] = 1 self.M = N - len(blacklist) for i in blacklist: if i < self.M: N = N - 1 while N in self.map: N -= 1 self.map[i] = N <|end_body_0...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004658

851

no_license

[ { "docstring": ":type N: int :type blacklist: List[int] :ref:https://blog.csdn.net/dpengwang/article/details/83044688", "name": "__init__", "signature": "def __init__(self, N, blacklist)" }, { "docstring": ":rtype: int", "name": "pick", "signature": "def pick(self)" } ]

2

stack_v2_sparse_classes_30k_train_017733

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def __init__(self, N, blacklist): :type N: int :type blacklist: List[int] :ref:https://blog.csdn.net/dpengwang/article/details/83044688 - def pick(self): :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def __init__(self, N, blacklist): :type N: int :type blacklist: List[int] :ref:https://blog.csdn.net/dpengwang/article/details/83044688 - def pick(self): :rtype: int <|skeleton|...

5755c3edd6d949af18d0247d2103379510dfab85

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def __init__(self, N, blacklist): """:type N: int :type blacklist: List[int] :ref:https://blog.csdn.net/dpengwang/article/details/83044688""" self.map = {} for i in blacklist: self.map[i] = 1 self.M = N - len(blacklist) for i in blacklist: ...

the_stack_v2_python_sparse

710.py

JiayuZhai/leetcode_python3

train

0

0102801138766fe5e55dc3cef09a56deff98f4b9

[ "width = int(len(features) / classifier_input_size)\nself.features = np.reshape(features, (width, classifier_input_size))\nself.pos = 0", "if self.pos < len(self.features):\n self.pos += 1\n return self.features[self.pos - 1]\nreturn None" ]

FeatureReader takes in the full set of features and returns classifier_input_size chunks of data

FeatureReader

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class FeatureReader: """FeatureReader takes in the full set of features and returns classifier_input_size chunks of data""" def __init__(self, features, classifier_input_size): """Initialize the FeatureReader with the full set of features, and the classifier input size""" <|body_0|...

stack_v2_sparse_classes_36k_train_004659

11,862

permissive

[ { "docstring": "Initialize the FeatureReader with the full set of features, and the classifier input size", "name": "__init__", "signature": "def __init__(self, features, classifier_input_size)" }, { "docstring": "Return the next classifier input of size (feature_width, classifier_input_size)", ...

2

stack_v2_sparse_classes_30k_train_012370

Implement the Python class `FeatureReader` described below. Class description: FeatureReader takes in the full set of features and returns classifier_input_size chunks of data Method signatures and docstrings: - def __init__(self, features, classifier_input_size): Initialize the FeatureReader with the full set of fea...

cb897e3aec148a1e9bd648012b5f53ab9d0dd20c

<|skeleton|> class FeatureReader: """FeatureReader takes in the full set of features and returns classifier_input_size chunks of data""" def __init__(self, features, classifier_input_size): """Initialize the FeatureReader with the full set of features, and the classifier input size""" <|body_0|...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FeatureReader: """FeatureReader takes in the full set of features and returns classifier_input_size chunks of data""" def __init__(self, features, classifier_input_size): """Initialize the FeatureReader with the full set of features, and the classifier input size""" width = int(len(featur...

the_stack_v2_python_sparse

tools/utilities/pythonlibs/audio/training/test_ell_model.py

awesomemachinelearning/ELL

train

1

2469c8cbc51ebb1017c48dd76b3f0ba54174b013

[ "data = []\n\ndef dfs(root):\n if root is None:\n return\n data.append(root.val)\n dfs(root.left)\n dfs(root.right)\ndfs(root)\nreturn str(data)", "arr = literal_eval(data)\n\ndef construct_tree(arr):\n node = TreeNode(arr[0])\n root = node\n q = [node]\n j = 1\n while q:\n ...

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004660

1,531

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:...

77a13580fd6231830558b1cf8c84f8b3b62b99d0

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root): """Encodes a tree to a single string. :type root: TreeNode :rtype: str""" data = [] def dfs(root): if root is None: return data.append(root.val) dfs(root.left) dfs(root.right) dfs...

the_stack_v2_python_sparse

lc-297.py

UtsavRaychaudhuri/leetcode

train

0

48505463af0fc4fa9e477daae3a01830a30ac4e2

[ "super().__init__(path)\nself._bug_list = dict()\nself._parse()", "if self._bug_list != other._bug_list:\n print('Bug lists do not match.')\n return False\nreturn True", "with open(self._path, 'r') as file:\n try:\n line = file.readline()\n while line:\n if line.startswith(BUG_...

Responsible for parsing bug bucket logs

BugLogParser

[ "LicenseRef-scancode-generic-cla", "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BugLogParser: """Responsible for parsing bug bucket logs""" def __init__(self, path): """BugLogParser constructor @param path: The path to the bug log file @type path: Str""" <|body_0|> def diff_log(self, other): """Diffs a BugLogParser's bug list with this objec...

stack_v2_sparse_classes_36k_train_004661

9,641

permissive

[ { "docstring": "BugLogParser constructor @param path: The path to the bug log file @type path: Str", "name": "__init__", "signature": "def __init__(self, path)" }, { "docstring": "Diffs a BugLogParser's bug list with this object's bug list @param other: The parser to compare to this one @type ot...

3

stack_v2_sparse_classes_30k_train_004247

Implement the Python class `BugLogParser` described below. Class description: Responsible for parsing bug bucket logs Method signatures and docstrings: - def __init__(self, path): BugLogParser constructor @param path: The path to the bug log file @type path: Str - def diff_log(self, other): Diffs a BugLogParser's bug...

5a9ba1af74953334fcf54570f1e31e74ea057688

<|skeleton|> class BugLogParser: """Responsible for parsing bug bucket logs""" def __init__(self, path): """BugLogParser constructor @param path: The path to the bug log file @type path: Str""" <|body_0|> def diff_log(self, other): """Diffs a BugLogParser's bug list with this objec...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BugLogParser: """Responsible for parsing bug bucket logs""" def __init__(self, path): """BugLogParser constructor @param path: The path to the bug log file @type path: Str""" super().__init__(path) self._bug_list = dict() self._parse() def diff_log(self, other): ...

the_stack_v2_python_sparse

restler/test_servers/log_parser.py

wisec/restler-fuzzer

train

0

9ee3951d484d64a80b375ea232066c783ef16238

[ "tmp_sum = (x + self.eta).as_array()\nind = tmp_sum >= 0\ntmp = scipy.special.kl_div(self.b.as_array()[ind], tmp_sum[ind])\nreturn numpy.sum(tmp)", "should_return = False\nif out is None:\n out = x.add(self.eta)\n should_return = True\nelse:\n x.add(self.eta, out=out)\narr = out.as_array()\narr[arr > 0] ...

KullbackLeibler_numpy

[ "Apache-2.0", "BSD-3-Clause", "GPL-3.0-only" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class KullbackLeibler_numpy: def __call__(self, x): """Returns the value of the KullbackLeibler function at :math:`(b, x + \\eta)`. Note ---- To avoid infinity values, we consider only pixels/voxels for :math:`x+\\eta\\geq0`.""" <|body_0|> def gradient(self, x, out=None): ...

stack_v2_sparse_classes_36k_train_004662

18,813

permissive

[ { "docstring": "Returns the value of the KullbackLeibler function at :math:`(b, x + \\\\eta)`. Note ---- To avoid infinity values, we consider only pixels/voxels for :math:`x+\\\\eta\\\\geq0`.", "name": "__call__", "signature": "def __call__(self, x)" }, { "docstring": "Returns the value of the ...

5

stack_v2_sparse_classes_30k_train_001198

Implement the Python class `KullbackLeibler_numpy` described below. Class description: Implement the KullbackLeibler_numpy class. Method signatures and docstrings: - def __call__(self, x): Returns the value of the KullbackLeibler function at :math:`(b, x + \\eta)`. Note ---- To avoid infinity values, we consider only...

b0503d1b24cc71d937bbb780602d8778b36b0e77

<|skeleton|> class KullbackLeibler_numpy: def __call__(self, x): """Returns the value of the KullbackLeibler function at :math:`(b, x + \\eta)`. Note ---- To avoid infinity values, we consider only pixels/voxels for :math:`x+\\eta\\geq0`.""" <|body_0|> def gradient(self, x, out=None): ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class KullbackLeibler_numpy: def __call__(self, x): """Returns the value of the KullbackLeibler function at :math:`(b, x + \\eta)`. Note ---- To avoid infinity values, we consider only pixels/voxels for :math:`x+\\eta\\geq0`.""" tmp_sum = (x + self.eta).as_array() ind = tmp_sum >= 0 ...

the_stack_v2_python_sparse

Wrappers/Python/cil/optimisation/functions/KullbackLeibler.py

TomographicImaging/CIL

train

72

8e79cad0739d8de9e3c86cdd31761b0cd0052d40

[ "cache = {}\nfor x in nums:\n cache[x] = cache.get(x, 0) + 1\nfor item in cache.items():\n if item[1] == 1:\n return item[0]", "result = 0\nfor x in nums:\n result ^= x\nreturn result" ]

<|body_start_0|> cache = {} for x in nums: cache[x] = cache.get(x, 0) + 1 for item in cache.items(): if item[1] == 1: return item[0] <|end_body_0|> <|body_start_1|> result = 0 for x in nums: result ^= x return result <|...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def singleNumberUsingExtra(self, nums): """:type nums: List[int] :rtype: int""" <|body_0|> def singleNumber(self, nums): """:type nums: List[int] :rtype: int""" <|body_1|> <|end_skeleton|> <|body_start_0|> cache = {} for x in nums:...

stack_v2_sparse_classes_36k_train_004663

946

no_license

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

2

stack_v2_sparse_classes_30k_train_004767

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

0743cbeb0e9aa4a8a25f4520a1e3f92793fae1ee

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def singleNumberUsingExtra(self, nums): """:type nums: List[int] :rtype: int""" cache = {} for x in nums: cache[x] = cache.get(x, 0) + 1 for item in cache.items(): if item[1] == 1: return item[0] def singleNumber(self, nums...

the_stack_v2_python_sparse

practice/leetcode/algorithm/136_SingleNumber.py

aliceayres/leetcode-practice

train

0

c928dcd4069edea1639fd852dc8945f9ed291a77

[ "user = User()\nuser.username = 'test'\nuser.save()\nprofile = Profile.objects.get(user=user)\nself.assertFalse(profile.activated)\nuser_id = user.id\nuser_token = profile.activation_token\nurl = reverse('userprofile-activate', args=(user_id, user_token))\nself.client.get(url)\nprofile = Profile.objects.get(user=us...

<|body_start_0|> user = User() user.username = 'test' user.save() profile = Profile.objects.get(user=user) self.assertFalse(profile.activated) user_id = user.id user_token = profile.activation_token url = reverse('userprofile-activate', args=(user_id, user...

AccountActionvationTests

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004664

8,641

no_license

[ { "docstring": "Tests if the user activation works", "name": "test_user_activation", "signature": "def test_user_activation(self)" }, { "docstring": "Tests if the user activation works worng", "name": "test_user_whrong_activation", "signature": "def test_user_whrong_activation(self)" }...

2

stack_v2_sparse_classes_30k_train_019628

Implement the Python class `AccountActionvationTests` described below. Class description: Implement the AccountActionvationTests class. Method signatures and docstrings: - def test_user_activation(self): Tests if the user activation works - def test_user_whrong_activation(self): Tests if the user activation works wor...

bee916136a67f2203a7ca6078220553ae1ce9c3c

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AccountActionvationTests: def test_user_activation(self): """Tests if the user activation works""" user = User() user.username = 'test' user.save() profile = Profile.objects.get(user=user) self.assertFalse(profile.activated) user_id = user.id use...

the_stack_v2_python_sparse

dwarf/userprofile/tests.py

slok/dwarf

train

1

da15541a5be3e9a130de1526ee7cd7695a33253b

[ "ans = []\n\ndef _generate(s='', l=0, r=0):\n if len(s) == 2 * n:\n ans.append(s)\n return\n if l < n:\n _generate(s + '(', l + 1, r)\n if r < l:\n _generate(s + ')', l, r + 1)\n_generate()\nreturn ans", "from collections import deque\nans = []\nqueue = deque([('', 0, 0)])\nwh...

<|body_start_0|> ans = [] def _generate(s='', l=0, r=0): if len(s) == 2 * n: ans.append(s) return if l < n: _generate(s + '(', l + 1, r) if r < l: _generate(s + ')', l, r + 1) _generate() ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004665

2,017

no_license

[ { "docstring": "1. 递归 KEY：关键点是生成括号的合法性的判断！！！", "name": "generateParenthesis", "signature": "def generateParenthesis(self, n: int) -> List[str]" }, { "docstring": "2. 队列：记录当前子串状态及左右括号的数量", "name": "generateParenthesis2", "signature": "def generateParenthesis2(self, n: int) -> List[str]" ...

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def generateParenthesis(self, n: int) -> List[str]: 1. 递归 KEY：关键点是生成括号的合法性的判断！！！ - def generateParenthesis2(self, n: int) -> List[str]: 2. 队列：记录当前子串状态及左右括号的数量

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def generateParenthesis(self, n: int) -> List[str]: 1. 递归 KEY：关键点是生成括号的合法性的判断！！！ - def generateParenthesis2(self, n: int) -> List[str]: 2. 队列：记录当前子串状态及左右括号的数量 <|skeleton|> class...

4732fb80710a08a715c3e7080c394f5298b8326d

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def generateParenthesis(self, n: int) -> List[str]: """1. 递归 KEY：关键点是生成括号的合法性的判断！！！""" ans = [] def _generate(s='', l=0, r=0): if len(s) == 2 * n: ans.append(s) return if l < n: _generate(s + '(', l + 1,...

the_stack_v2_python_sparse

.leetcode/22.括号生成.py

xiaoruijiang/algorithm

train

0

c75d575e0808cb45511979d5be0661a999f5625d

[ "super(HyperOptOAT, self).__init__(params, data)\nself.objective = None\nself.trial_losses = []\nself.best_trial = None\nself.n_factors = None\nself.n_levels = None\nself.strength = None\nself.N_runs = None", "number_of_trial = 0\nself.objective = ObjectiveBase(self.params, self.data_handler)\nfor row in self.ort...

<|body_start_0|> super(HyperOptOAT, self).__init__(params, data) self.objective = None self.trial_losses = [] self.best_trial = None self.n_factors = None self.n_levels = None self.strength = None self.N_runs = None <|end_body_0|> <|body_start_1|> ...

Hyperparameter optimizer using Orthogonal Array Tuning.

HyperOptOAT

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class HyperOptOAT: """Hyperparameter optimizer using Orthogonal Array Tuning.""" def __init__(self, params, data): """Create a HyperOptOAT object. Parameters ---------- params : mala.common.parametes.Parameters Parameters used to create this hyperparameter optimizer. data : mala.datahandli...

stack_v2_sparse_classes_36k_train_004666

4,528

permissive

[ { "docstring": "Create a HyperOptOAT object. Parameters ---------- params : mala.common.parametes.Parameters Parameters used to create this hyperparameter optimizer. data : mala.datahandling.data_handler.DataHandler DataHandler holding the data for the hyperparameter optimization.", "name": "__init__", ...

5

stack_v2_sparse_classes_30k_train_009292

Implement the Python class `HyperOptOAT` described below. Class description: Hyperparameter optimizer using Orthogonal Array Tuning. Method signatures and docstrings: - def __init__(self, params, data): Create a HyperOptOAT object. Parameters ---------- params : mala.common.parametes.Parameters Parameters used to cre...

9cc771b0cdc4178c7f66fd717684658abbb0d95c

<|skeleton|> class HyperOptOAT: """Hyperparameter optimizer using Orthogonal Array Tuning.""" def __init__(self, params, data): """Create a HyperOptOAT object. Parameters ---------- params : mala.common.parametes.Parameters Parameters used to create this hyperparameter optimizer. data : mala.datahandli...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class HyperOptOAT: """Hyperparameter optimizer using Orthogonal Array Tuning.""" def __init__(self, params, data): """Create a HyperOptOAT object. Parameters ---------- params : mala.common.parametes.Parameters Parameters used to create this hyperparameter optimizer. data : mala.datahandling.data_handl...

the_stack_v2_python_sparse

mala/network/hyper_opt_oat.py

icamps/mala

train

0

e98e77f40afdcaa65a888184e04ba50e474dfc52

[ "if s == '':\n return True\nX = [False] * len(s)\nfor i in range(0, len(s)):\n if i == 0 or X[i - 1] == True:\n for word in wordDict:\n if s[i:i + len(word)] == word:\n X[i + len(word) - 1] = True\nreturn X[-1]", "if len(s) == 0:\n return True\nfor word in wordDict:\n ...

<|body_start_0|> if s == '': return True X = [False] * len(s) for i in range(0, len(s)): if i == 0 or X[i - 1] == True: for word in wordDict: if s[i:i + len(word)] == word: X[i + len(word) - 1] = True ret...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004667

18,132

no_license

[ { "docstring": ":type s: str :type wordDict: List[str] :rtype: bool", "name": "wordBreak", "signature": "def wordBreak(self, s, wordDict)" }, { "docstring": ":type s: str :type wordDict: List[str] :rtype: bool", "name": "wordBreakRecursive", "signature": "def wordBreakRecursive(self, s, ...

2

stack_v2_sparse_classes_30k_train_016560

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def wordBreak(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool - def wordBreakRecursive(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: ...

f5d35123ab14ac630f1bcf1105829c47bb43b9a9

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def wordBreak(self, s, wordDict): """:type s: str :type wordDict: List[str] :rtype: bool""" if s == '': return True X = [False] * len(s) for i in range(0, len(s)): if i == 0 or X[i - 1] == True: for word in wordDict: ...

the_stack_v2_python_sparse

139. Word Break.py

mbuon/Leetcode

train

1

e6416a97ff424b6540b22f6afdbc4e50aa643a8e

[ "super().__init__(fn.track, 'J')\nself.fn = fn\nassert isinstance(fn, Inferrer)\nself.mktuple = mktuple", "args = [TransformedReference(self.engine, P.Jinv, jarg) for jarg in jargs]\nres = await self.fn(*args)\nres_t = self.track.jtag(await reify_shallow(res))\nbparams_t = [self.track.stag(self)]\nbparams_t += [s...

Inferrer for J(fn). Arguments: fn: The function to transform. mktuple: A function to create a tuple appropriate for the track.

JInferrer

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class JInferrer: """Inferrer for J(fn). Arguments: fn: The function to transform. mktuple: A function to create a tuple appropriate for the track.""" def __init__(self, fn, mktuple): """Initialize a JInferrer.""" <|body_0|> async def infer(self, *jargs): """Infer given...

stack_v2_sparse_classes_36k_train_004668

1,315

permissive

[ { "docstring": "Initialize a JInferrer.", "name": "__init__", "signature": "def __init__(self, fn, mktuple)" }, { "docstring": "Infer given the arguments.", "name": "infer", "signature": "async def infer(self, *jargs)" } ]

2

stack_v2_sparse_classes_30k_train_017771

Implement the Python class `JInferrer` described below. Class description: Inferrer for J(fn). Arguments: fn: The function to transform. mktuple: A function to create a tuple appropriate for the track. Method signatures and docstrings: - def __init__(self, fn, mktuple): Initialize a JInferrer. - async def infer(self,...

1256317fd74f73a6f431becc711a01254c74f1b2

<|skeleton|> class JInferrer: """Inferrer for J(fn). Arguments: fn: The function to transform. mktuple: A function to create a tuple appropriate for the track.""" def __init__(self, fn, mktuple): """Initialize a JInferrer.""" <|body_0|> async def infer(self, *jargs): """Infer given...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class JInferrer: """Inferrer for J(fn). Arguments: fn: The function to transform. mktuple: A function to create a tuple appropriate for the track.""" def __init__(self, fn, mktuple): """Initialize a JInferrer.""" super().__init__(fn.track, 'J') self.fn = fn assert isinstance(fn,...

the_stack_v2_python_sparse

myia/infer/jinf.py

mbrukman/myia

train

0

0903ff999ba0d3eb3887cd0fb297e21f7b1353ca

[ "print(target)\nfor i in range(0, len(nums)):\n for j in range(i + 1, len(nums)):\n for k in range(i + 2, len(nums)):\n a = nums[i]\n b = nums[j]\n c = nums[k]\n if a + b + c == target:\n print([a, b, c])\n return 1", "nums.sort()...

<|body_start_0|> print(target) for i in range(0, len(nums)): for j in range(i + 1, len(nums)): for k in range(i + 2, len(nums)): a = nums[i] b = nums[j] c = nums[k] if a + b + c == target: ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004669

1,769

no_license

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

2

stack_v2_sparse_classes_30k_train_020117

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

ca6ffffcb775c4caacc4dc907b9912b40a48a343

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def threeSumClosest(self, nums, target): """:type nums: List[int] :type target: int :rtype: int""" print(target) for i in range(0, len(nums)): for j in range(i + 1, len(nums)): for k in range(i + 2, len(nums)): a = nums[i] ...

the_stack_v2_python_sparse

Array/02_3Sumclosest.py

saranyab9064/leetcode-geeks

train

0

14521041b58db8e01ae6f4b3510fd510f19c2408

[ "self.name = 'masterbias'\nself.procname = 'mbias'\nself.log = logging.getLogger('pipe.step.%s' % self.name)\nself.paramlist = []\nself.paramlist.append(['combinemethod', 'median', 'Specifies how the files should be combined - options are median, average, sum'])\nself.paramlist.append(['outputfolder', '', 'Output d...

<|body_start_0|> self.name = 'masterbias' self.procname = 'mbias' self.log = logging.getLogger('pipe.step.%s' % self.name) self.paramlist = [] self.paramlist.append(['combinemethod', 'median', 'Specifies how the files should be combined - options are median, average, sum']) ...

Stone Edge Pipeline Step Master Bias Object The object is callable. It requires a valid configuration input (file or object) when it runs.

StepMasterBias

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StepMasterBias: """Stone Edge Pipeline Step Master Bias Object The object is callable. It requires a valid configuration input (file or object) when it runs.""" def setup(self): """### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved...

stack_v2_sparse_classes_36k_train_004670

4,726

no_license

[ { "docstring": "### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved files. Defines the input parameters for the current pipe step. Setup() is called at the end of __init__ The parameters are stored in a list containing the following information: - name: The na...

2

stack_v2_sparse_classes_30k_train_020417

Implement the Python class `StepMasterBias` described below. Class description: Stone Edge Pipeline Step Master Bias Object The object is callable. It requires a valid configuration input (file or object) when it runs. Method signatures and docstrings: - def setup(self): ### Names and Parameters need to be Set Here #...

dd41da709e2bd55f072b37f5a9b16f1a61dcfc8c

<|skeleton|> class StepMasterBias: """Stone Edge Pipeline Step Master Bias Object The object is callable. It requires a valid configuration input (file or object) when it runs.""" def setup(self): """### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StepMasterBias: """Stone Edge Pipeline Step Master Bias Object The object is callable. It requires a valid configuration input (file or object) when it runs.""" def setup(self): """### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved files. Defin...

the_stack_v2_python_sparse

source/stonesteps/stepmasterbias.py

yerkesobservatory/pipeline

train

6

0bf30ac6cc76253dce5a64e710ff14ccdea1e0f9

[ "coins = [0] * N\nfor relation in trust:\n coins[relation[0] - 1] -= 1\n coins[relation[1] - 1] += 1\nfor index, coin in enumerate(coins):\n if coin == N - 1:\n return index + 1\nreturn -1", "coins = dict(zip(range(1, N + 1), [0] * N))\nfor relation in trust:\n coins[relation[0]] = coins.get(re...

<|body_start_0|> coins = [0] * N for relation in trust: coins[relation[0] - 1] -= 1 coins[relation[1] - 1] += 1 for index, coin in enumerate(coins): if coin == N - 1: return index + 1 return -1 <|end_body_0|> <|body_start_1|> c...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004671

2,589

permissive

[ { "docstring": ":type N: int :type trust: List[List[int]] :rtype: int", "name": "_findJudge", "signature": "def _findJudge(self, N, trust)" }, { "docstring": ":type N: int :type trust: List[List[int]] :rtype: int", "name": "findJudge", "signature": "def findJudge(self, N, trust)" } ]

2

null

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

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def _findJudge(self, N, trust): :type N: int :type trust: List[List[int]] :rtype: int - def findJudge(self, N, trust): :type N: int :type trust: List[List[int]] :rtype: int <|sk...

0dd67edca4e0b0323cb5a7239f02ea46383cd15a

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def _findJudge(self, N, trust): """:type N: int :type trust: List[List[int]] :rtype: int""" coins = [0] * N for relation in trust: coins[relation[0] - 1] -= 1 coins[relation[1] - 1] += 1 for index, coin in enumerate(coins): if coin ...

the_stack_v2_python_sparse

997.find-the-town-judge.py

windard/leeeeee

train

0

5dab47e94725ac7e5f7f08a3b318c35389c87b44

[ "self.tator_api = tator_api\nself.media_num_frames = media.num_frames - 2\nself.moving_forward = moving_forward\nself.buffer_size = buffer_size\nself.work_folder = work_folder\nself.media = media\nself.frame_buffer = {}\nself.use_get_frame = use_get_frame\nhighest_quality = 0\nfor media_file in media.media_files.st...

<|body_start_0|> self.tator_api = tator_api self.media_num_frames = media.num_frames - 2 self.moving_forward = moving_forward self.buffer_size = buffer_size self.work_folder = work_folder self.media = media self.frame_buffer = {} self.use_get_frame = use_g...

FrameBuffer

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FrameBuffer: def __init__(self, tator_api: tator.openapi.tator_openapi.api.tator_api.TatorApi, media: tator.openapi.tator_openapi.models.media.Media, moving_forward: bool, work_folder: str, buffer_size: int, use_get_frame: bool=False) -> None: """Constructor""" <|body_0|> de...

stack_v2_sparse_classes_36k_train_004672

27,504

permissive

[ { "docstring": "Constructor", "name": "__init__", "signature": "def __init__(self, tator_api: tator.openapi.tator_openapi.api.tator_api.TatorApi, media: tator.openapi.tator_openapi.models.media.Media, moving_forward: bool, work_folder: str, buffer_size: int, use_get_frame: bool=False) -> None" }, { ...

3

null

Implement the Python class `FrameBuffer` described below. Class description: Implement the FrameBuffer class. Method signatures and docstrings: - def __init__(self, tator_api: tator.openapi.tator_openapi.api.tator_api.TatorApi, media: tator.openapi.tator_openapi.models.media.Media, moving_forward: bool, work_folder: ...

fae655f396380dbe74413812a41b734e267faffe

<|skeleton|> class FrameBuffer: def __init__(self, tator_api: tator.openapi.tator_openapi.api.tator_api.TatorApi, media: tator.openapi.tator_openapi.models.media.Media, moving_forward: bool, work_folder: str, buffer_size: int, use_get_frame: bool=False) -> None: """Constructor""" <|body_0|> de...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FrameBuffer: def __init__(self, tator_api: tator.openapi.tator_openapi.api.tator_api.TatorApi, media: tator.openapi.tator_openapi.models.media.Media, moving_forward: bool, work_folder: str, buffer_size: int, use_get_frame: bool=False) -> None: """Constructor""" self.tator_api = tator_api ...

the_stack_v2_python_sparse

scripts/tator/fill_track_gaps.py

openem-team/openem

train

11

a821df0ab9b090990bc2dfddf37360c41334100a

[ "mapping = {}\nfor i in nums:\n mapping[i] = mapping[i] + 1 if i in mapping.keys() else 1\nlist_ = []\nimport heapq\nfor key, val in mapping.items():\n heapq.heappush(list_, (-val, key))\nprint(list_)\nreturn [heapq.heappop(list_)[1] for i in range(k)]", "mapping = {}\nfor i in nums:\n if i in mapping.ke...

<|body_start_0|> mapping = {} for i in nums: mapping[i] = mapping[i] + 1 if i in mapping.keys() else 1 list_ = [] import heapq for key, val in mapping.items(): heapq.heappush(list_, (-val, key)) print(list_) return [heapq.heappop(list_)[1] ...

Solution

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004673

1,269

permissive

[ { "docstring": ":type nums: List[int] :type k: int :rtype: List[int]", "name": "topKFrequent", "signature": "def topKFrequent(self, nums, k)" }, { "docstring": ":type nums: List[int] :type k: int :rtype: List[int]", "name": "topKFrequent1", "signature": "def topKFrequent1(self, nums, k)"...

2

stack_v2_sparse_classes_30k_train_004685

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def topKFrequent(self, nums, k): :type nums: List[int] :type k: int :rtype: List[int] - def topKFrequent1(self, nums, k): :type nums: List[int] :type k: int :rtype: List[int]

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def topKFrequent(self, nums, k): :type nums: List[int] :type k: int :rtype: List[int] - def topKFrequent1(self, nums, k): :type nums: List[int] :type k: int :rtype: List[int] <|...

64847cbb1adcaca4561b949e8acc52e8e031a6cb

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def topKFrequent(self, nums, k): """:type nums: List[int] :type k: int :rtype: List[int]""" mapping = {} for i in nums: mapping[i] = mapping[i] + 1 if i in mapping.keys() else 1 list_ = [] import heapq for key, val in mapping.items(): ...

the_stack_v2_python_sparse

TopKFrequentElements347.py

Bit64L/LeetCode-Python-

train

0

ac5dfff75236146ede375c4ba8757575f4c6a95b

[ "async with database.connection() as connection:\n query = 'SELECT EXISTS(SELECT 1 FROM authors WHERE id = :id);'\n exists = await connection.fetch_val(query, payload)\n if not exists:\n raise NotFoundException()", "async with database.connection() as connection:\n raw_connection = connection.r...

<|body_start_0|> async with database.connection() as connection: query = 'SELECT EXISTS(SELECT 1 FROM authors WHERE id = :id);' exists = await connection.fetch_val(query, payload) if not exists: raise NotFoundException() <|end_body_0|> <|body_start_1|> ...

AuthorEndpoint

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004674

3,278

permissive

[ { "docstring": "Check if it exists", "name": "validate_get_action", "signature": "async def validate_get_action(self, payload: typing.Dict[str, typing.Any]) -> None" }, { "docstring": "Retrieves the author for the given id.", "name": "get", "signature": "async def get(self, request_data:...

4

stack_v2_sparse_classes_30k_train_020402

Implement the Python class `AuthorEndpoint` described below. Class description: Implement the AuthorEndpoint class. Method signatures and docstrings: - async def validate_get_action(self, payload: typing.Dict[str, typing.Any]) -> None: Check if it exists - async def get(self, request_data: typing.Dict) -> aiosqlite.R...

4c18a1cf1cfa088d67a61b89e64217e2e4dac809

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AuthorEndpoint: async def validate_get_action(self, payload: typing.Dict[str, typing.Any]) -> None: """Check if it exists""" async with database.connection() as connection: query = 'SELECT EXISTS(SELECT 1 FROM authors WHERE id = :id);' exists = await connection.fetch_va...

the_stack_v2_python_sparse

example_app/base_api/base_common.py

gvbgduh/starlette-cbge

train

7

63a6b9315f73be64a3776e50602709b7309de62e

[ "self.name = 'overcut'\nself.procname = 'OVC'\nself.log = logging.getLogger('pipe.step.%s' % self.name)\nself.paramlist = []\nself.paramlist.append(['ovrscncolsfrac', 257, 'Fraction of the detector colums which are overscaned'])", "self.log.debug('Running step %s' % self.name)\nself.dataout = self.datain\noscfrac...

<|body_start_0|> self.name = 'overcut' self.procname = 'OVC' self.log = logging.getLogger('pipe.step.%s' % self.name) self.paramlist = [] self.paramlist.append(['ovrscncolsfrac', 257, 'Fraction of the detector colums which are overscaned']) <|end_body_0|> <|body_start_1|> ...

DarePype Step ReSample Object The object is callable. It requires a valid configuration input (file or object) when it runs.

StepOverCut

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class StepOverCut: """DarePype Step ReSample Object The object is callable. It requires a valid configuration input (file or object) when it runs.""" def setup(self): """### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved files. Defines t...

stack_v2_sparse_classes_36k_train_004675

3,801

no_license

[ { "docstring": "### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved files. Defines the input parameters for the current pipe step. Setup() is called at the end of __init__ The parameters are stored in a list containing the following information: - name: The na...

2

stack_v2_sparse_classes_30k_test_000072

Implement the Python class `StepOverCut` described below. Class description: DarePype Step ReSample Object The object is callable. It requires a valid configuration input (file or object) when it runs. Method signatures and docstrings: - def setup(self): ### Names and Parameters need to be Set Here ### Sets the inter...

dd41da709e2bd55f072b37f5a9b16f1a61dcfc8c

<|skeleton|> class StepOverCut: """DarePype Step ReSample Object The object is callable. It requires a valid configuration input (file or object) when it runs.""" def setup(self): """### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved files. Defines t...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class StepOverCut: """DarePype Step ReSample Object The object is callable. It requires a valid configuration input (file or object) when it runs.""" def setup(self): """### Names and Parameters need to be Set Here ### Sets the internal names for the function and for saved files. Defines the input para...

the_stack_v2_python_sparse

source/stonesteps/stepovercut.py

yerkesobservatory/pipeline

train

6

b8216b4e3702f98ed2876fdd91dd58b8a050d575

[ "if not root:\n return []\nreturn [root.val] + [self.serialize(each) for each in root.children]", "if not data:\n return None\nnode = Node(data[0])\nnode.children = [self.deserialize(each) for each in data[1:]]\nreturn node" ]

Codec

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004676

907

no_license

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

2

null

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

ca445222ac0c513070123693977d8e1570c077f5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Codec: def serialize(self, root: 'Node') -> str: """Encodes a tree to a single string. :type root: Node :rtype: str""" if not root: return [] return [root.val] + [self.serialize(each) for each in root.children] def deserialize(self, data: str) -> 'Node': """Dec...

the_stack_v2_python_sparse

Problems/0428. Serialize and Deserialize N-ary Tree.py

KirkGuo/LeetCode-Accepted-Code

train

0

5014683dcd8aee94249af4c2d58f9aac46aa7b4c

[ "p = data.get('with', {})\na = p.pop('args') if 'args' in p else ()\nk = p.pop('kwargs') if 'kwargs' in p else {}\ntmp_a = (expand_env_var(v) for v in a)\ntmp_p = {kk: expand_env_var(vv) for kk, vv in {**k, **p}.items()}\nobj = cls(*tmp_a, **tmp_p)\npp = data.get('pods', {})\nfor pod_name, pod_attr in pp.items():\n...

<|body_start_0|> p = data.get('with', {}) a = p.pop('args') if 'args' in p else () k = p.pop('kwargs') if 'kwargs' in p else {} tmp_a = (expand_env_var(v) for v in a) tmp_p = {kk: expand_env_var(vv) for kk, vv in {**k, **p}.items()} obj = cls(*tmp_a, **tmp_p) pp =...

LegacyParser

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LegacyParser: def parse(self, cls: Type['BaseFlow'], data: Dict) -> 'BaseFlow': """:param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml file loaded as python dict :return: the Flow YAML parser given the syntax version number""" ...

stack_v2_sparse_classes_36k_train_004677

2,491

permissive

[ { "docstring": ":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml file loaded as python dict :return: the Flow YAML parser given the syntax version number", "name": "parse", "signature": "def parse(self, cls: Type['BaseFlow'], data: Dict) -> 'Base...

2

stack_v2_sparse_classes_30k_train_006300

Implement the Python class `LegacyParser` described below. Class description: Implement the LegacyParser class. Method signatures and docstrings: - def parse(self, cls: Type['BaseFlow'], data: Dict) -> 'BaseFlow': :param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow ya...

97f9e97a4a678a28bdeacbc7346eaf7bbd2aeb89

<|skeleton|> class LegacyParser: def parse(self, cls: Type['BaseFlow'], data: Dict) -> 'BaseFlow': """:param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml file loaded as python dict :return: the Flow YAML parser given the syntax version number""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class LegacyParser: def parse(self, cls: Type['BaseFlow'], data: Dict) -> 'BaseFlow': """:param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml file loaded as python dict :return: the Flow YAML parser given the syntax version number""" p = data.get...

the_stack_v2_python_sparse

jina/jaml/parsers/flow/legacy.py

deepampatel/jina

train

2

bb0b248bc5bd1af9506f636b0f6bbb6d076236b0

[ "self.TimeOne = '15:15:00'\nself.TimeTwo = '15:15:12'\nself.output = 1\nreturn (self.TimeOne, self.TimeTwo, self.output)", "TimeOne, TimeTwo, output = self.setUp()\noutput_method = solution(TimeOne, TimeTwo)\nself.assertEqual(output, output_method)" ]

Class with unittests for Codility_1_task.py

test_Codility_1_task

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004678

882

no_license

[ { "docstring": "Sets up input.", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Checks if method works properly.", "name": "test_user_input", "signature": "def test_user_input(self)" } ]

2

stack_v2_sparse_classes_30k_train_009229

Implement the Python class `test_Codility_1_task` described below. Class description: Class with unittests for Codility_1_task.py Method signatures and docstrings: - def setUp(self): Sets up input. - def test_user_input(self): Checks if method works properly.

Implement the Python class `test_Codility_1_task` described below. Class description: Class with unittests for Codility_1_task.py Method signatures and docstrings: - def setUp(self): Sets up input. - def test_user_input(self): Checks if method works properly. <|skeleton|> class test_Codility_1_task: """Class wit...

3aa62ad36c3b06b2a3b05f1f8e2a9e21d68b371f

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class test_Codility_1_task: """Class with unittests for Codility_1_task.py""" def setUp(self): """Sets up input.""" self.TimeOne = '15:15:00' self.TimeTwo = '15:15:12' self.output = 1 return (self.TimeOne, self.TimeTwo, self.output) def test_user_input(self): ...

the_stack_v2_python_sparse

Codility_algorithms/test_Codility_1_task.py

JakubKazimierski/PythonPortfolio

train

9

91127ca06cefa45b00c914deeed12d7f010d3800

[ "if not q:\n return self\nif isinstance(q, QueryBuilder):\n self._query_builder = q\nelse:\n self._query_builder.where(q, **kwargs)\nreturn self", "if not q and (not kwargs):\n raise ApiError('.and_() expects a string, a solrq.Q, or kwargs')\nself._query_builder.and_(q, **kwargs)\nreturn self", "if ...

A mixin that supplies wrapper methods to access the _query_builder.

QueryBuilderSupportMixin

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class QueryBuilderSupportMixin: """A mixin that supplies wrapper methods to access the _query_builder.""" def where(self, q=None, **kwargs): """Add a filter to this query. :param q: Query string, :py:class:`QueryBuilder`, or `solrq.Q` object :param kwargs: Arguments to construct a `solrq.Q...

stack_v2_sparse_classes_36k_train_004679

8,223

permissive

[ { "docstring": "Add a filter to this query. :param q: Query string, :py:class:`QueryBuilder`, or `solrq.Q` object :param kwargs: Arguments to construct a `solrq.Q` with :return: Query object :rtype: :py:class:`Query`", "name": "where", "signature": "def where(self, q=None, **kwargs)" }, { "docst...

4

stack_v2_sparse_classes_30k_val_000831

Implement the Python class `QueryBuilderSupportMixin` described below. Class description: A mixin that supplies wrapper methods to access the _query_builder. Method signatures and docstrings: - def where(self, q=None, **kwargs): Add a filter to this query. :param q: Query string, :py:class:`QueryBuilder`, or `solrq.Q...

32dd08d2185f7113f87834002e720db31c8c910e

<|skeleton|> class QueryBuilderSupportMixin: """A mixin that supplies wrapper methods to access the _query_builder.""" def where(self, q=None, **kwargs): """Add a filter to this query. :param q: Query string, :py:class:`QueryBuilder`, or `solrq.Q` object :param kwargs: Arguments to construct a `solrq.Q...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class QueryBuilderSupportMixin: """A mixin that supplies wrapper methods to access the _query_builder.""" def where(self, q=None, **kwargs): """Add a filter to this query. :param q: Query string, :py:class:`QueryBuilder`, or `solrq.Q` object :param kwargs: Arguments to construct a `solrq.Q` with :retur...

the_stack_v2_python_sparse

src/cbapi/psc/base_query.py

carbonblack/cbapi-python

train

158

a1ebfe9caf337253fad01f2a4567814257ec4047

[ "self._api = api\nself._sensors = sensors\nself._connected = True", "for index, sensor in enumerate(self._sensors):\n if sensor.type == sensor_type:\n self._sensors[index].enabled = True\n return", "for index, sensor in enumerate(self._sensors):\n if sensor.type == sensor_type:\n self...

Class handling the API updates.

AsuswrtDataHandler

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AsuswrtDataHandler: """Class handling the API updates.""" def __init__(self, sensors: List[_SensorInfo], api: AsusWrt): """Initialize the handler class.""" <|body_0|> def enable_sensor(self, sensor_type: _SensorTypes): """Enable a specific sensor type.""" ...

stack_v2_sparse_classes_36k_train_004680

8,041

permissive

[ { "docstring": "Initialize the handler class.", "name": "__init__", "signature": "def __init__(self, sensors: List[_SensorInfo], api: AsusWrt)" }, { "docstring": "Enable a specific sensor type.", "name": "enable_sensor", "signature": "def enable_sensor(self, sensor_type: _SensorTypes)" ...

4

null

Implement the Python class `AsuswrtDataHandler` described below. Class description: Class handling the API updates. Method signatures and docstrings: - def __init__(self, sensors: List[_SensorInfo], api: AsusWrt): Initialize the handler class. - def enable_sensor(self, sensor_type: _SensorTypes): Enable a specific se...

4ab0151fb1cbefb31def23ba850e197da0a5027f

<|skeleton|> class AsuswrtDataHandler: """Class handling the API updates.""" def __init__(self, sensors: List[_SensorInfo], api: AsusWrt): """Initialize the handler class.""" <|body_0|> def enable_sensor(self, sensor_type: _SensorTypes): """Enable a specific sensor type.""" ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AsuswrtDataHandler: """Class handling the API updates.""" def __init__(self, sensors: List[_SensorInfo], api: AsusWrt): """Initialize the handler class.""" self._api = api self._sensors = sensors self._connected = True def enable_sensor(self, sensor_type: _SensorTypes...

the_stack_v2_python_sparse

homeassistant/components/asuswrt/sensor.py

turbokongen/home-assistant

train

4

fed27a5f608ad752d800e91be77eb73f6c8b354a

[ "try:\n geometry = GEOSGeometry(geom_wkt)\n if geometry is None or geometry.geom_type != 'Point':\n return None\n return geometry\nexcept (ValueError, GEOSException):\n return None", "if base_name:\n if not point_name:\n point_name = base_name + '_point'\n if not point_alternate_na...

Base form for the carpool app

BaseForm

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BaseForm: """Base form for the carpool app""" def get_point(self, geom_wkt): """Return a geometry of type "point" from a WKT point""" <|body_0|> def clean_route_point(self, point_name=None, point_alternate_name=None, displayable_name=None, base_name=None): """Rou...

stack_v2_sparse_classes_36k_train_004681

9,404

no_license

[ { "docstring": "Return a geometry of type \"point\" from a WKT point", "name": "get_point", "signature": "def get_point(self, geom_wkt)" }, { "docstring": "Route point (departure/arrival) cleaner for forms Check that the WKT traject point is well filled, and match to a geometry of type point.", ...

2

stack_v2_sparse_classes_30k_train_014240

Implement the Python class `BaseForm` described below. Class description: Base form for the carpool app Method signatures and docstrings: - def get_point(self, geom_wkt): Return a geometry of type "point" from a WKT point - def clean_route_point(self, point_name=None, point_alternate_name=None, displayable_name=None,...

5cc5ccf2759d0856ebfc8f9678bb814ef1c5a1ac

<|skeleton|> class BaseForm: """Base form for the carpool app""" def get_point(self, geom_wkt): """Return a geometry of type "point" from a WKT point""" <|body_0|> def clean_route_point(self, point_name=None, point_alternate_name=None, displayable_name=None, base_name=None): """Rou...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BaseForm: """Base form for the carpool app""" def get_point(self, geom_wkt): """Return a geometry of type "point" from a WKT point""" try: geometry = GEOSGeometry(geom_wkt) if geometry is None or geometry.geom_type != 'Point': return None ...

the_stack_v2_python_sparse

src/bv/client/trips/forms.py

bisonvert/bv.client

train

0

4c801d8d88e9ca231df0d601a38ab26178bb531b

[ "user = authenticate(request)\nif not MartAccessPermissions.top().user_can_access_definition(user, definition_id):\n raise HTTPUnauthorized()\nif not get_settings().mart_allow_runtime_creation:\n raise HTTPForbidden('Runtime Mart creation is not allowed')\ncreator = MartCreator(user, definition_id)\ntry:\n ...

<|body_start_0|> user = authenticate(request) if not MartAccessPermissions.top().user_can_access_definition(user, definition_id): raise HTTPUnauthorized() if not get_settings().mart_allow_runtime_creation: raise HTTPForbidden('Runtime Mart creation is not allowed') ...

DefinitionDetailResource

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DefinitionDetailResource: def create(self, request, definition_id, **params): """Initiates the creation of a Mart using the specified Mart Definition. The body of this request allows two parameters: * ``purge_on_failure``: Whether or not to purge the remnants of the Mart if creation fail...

stack_v2_sparse_classes_36k_train_004682

13,752

permissive

[ { "docstring": "Initiates the creation of a Mart using the specified Mart Definition. The body of this request allows two parameters: * ``purge_on_failure``: Whether or not to purge the remnants of the Mart if creation fails at any point. Optional. Defaults to ``true``. * ``leave_incomplete``: Whether or not to...

2

stack_v2_sparse_classes_30k_test_000193

Implement the Python class `DefinitionDetailResource` described below. Class description: Implement the DefinitionDetailResource class. Method signatures and docstrings: - def create(self, request, definition_id, **params): Initiates the creation of a Mart using the specified Mart Definition. The body of this request...

5588355677873ef1531ddbd1816eb2b0f6ea6996

<|skeleton|> class DefinitionDetailResource: def create(self, request, definition_id, **params): """Initiates the creation of a Mart using the specified Mart Definition. The body of this request allows two parameters: * ``purge_on_failure``: Whether or not to purge the remnants of the Mart if creation fail...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DefinitionDetailResource: def create(self, request, definition_id, **params): """Initiates the creation of a Mart using the specified Mart Definition. The body of this request allows two parameters: * ``purge_on_failure``: Whether or not to purge the remnants of the Mart if creation fails at any point...

the_stack_v2_python_sparse

src/rex.mart/src/rex/mart/commands.py

prometheusresearch/baseline-codebase

train

9

8e582a0eff37d724dee56663dfdd9534106de193

[ "for index, element in enumerate(array):\n if element % 2 != 0:\n inserted_index = index\n for j in range(inserted_index - 1, -1, -1):\n if array[j] % 2 != 0:\n inserted_index = j + 1\n break\n elif j == 0:\n inserted_index = 0\n ...

<|body_start_0|> for index, element in enumerate(array): if element % 2 != 0: inserted_index = index for j in range(inserted_index - 1, -1, -1): if array[j] % 2 != 0: inserted_index = j + 1 break ...

Solution

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def reOrderArray(self, array): """loop [2, 1, 3, 4, 5] if current element is odd: * 2 * 1 exchange with 1st element when 1st element is even [1, 2, 3, 4, 5] * 3 exchange with latest element whose prior element is odd [1, 3, 2, 4, 5] * 5 if we do as above, we will get [1, 3, 5, ...

stack_v2_sparse_classes_36k_train_004683

1,679

permissive

[ { "docstring": "loop [2, 1, 3, 4, 5] if current element is odd: * 2 * 1 exchange with 1st element when 1st element is even [1, 2, 3, 4, 5] * 3 exchange with latest element whose prior element is odd [1, 3, 2, 4, 5] * 5 if we do as above, we will get [1, 3, 5, 4, 2] that will break the relative order. we should ...

2

stack_v2_sparse_classes_30k_train_015016

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def reOrderArray(self, array): loop [2, 1, 3, 4, 5] if current element is odd: * 2 * 1 exchange with 1st element when 1st element is even [1, 2, 3, 4, 5] * 3 exchange with latest...

5fdd3a607ee3828e9b229cac8104fcccf1a2770d

<|skeleton|> class Solution: def reOrderArray(self, array): """loop [2, 1, 3, 4, 5] if current element is odd: * 2 * 1 exchange with 1st element when 1st element is even [1, 2, 3, 4, 5] * 3 exchange with latest element whose prior element is odd [1, 3, 2, 4, 5] * 5 if we do as above, we will get [1, 3, 5, ...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def reOrderArray(self, array): """loop [2, 1, 3, 4, 5] if current element is odd: * 2 * 1 exchange with 1st element when 1st element is even [1, 2, 3, 4, 5] * 3 exchange with latest element whose prior element is odd [1, 3, 2, 4, 5] * 5 if we do as above, we will get [1, 3, 5, 4, 2] that wil...

the_stack_v2_python_sparse

014-调整数组顺序使奇数位于偶数前面/v2.py

Jay54520/Learn-Algorithms-With-Python

train

0

599e3fb8b170d9994fe368d9ce34c791fc24c854

[ "image_numbers = list(image_numbers)\nfilenames = list(filenames)\ndebug('image_numbers = %.200r' % image_numbers)\nself.image_numbers = image_numbers\ndebug('filenames = %.200r' % filenames)\nself.filenames = filenames\nself.xdet_trig_counts = {}\nself.acquiring = True\nself.trigger_monitoring = True\nself.saving_...

<|body_start_0|> image_numbers = list(image_numbers) filenames = list(filenames) debug('image_numbers = %.200r' % image_numbers) self.image_numbers = image_numbers debug('filenames = %.200r' % filenames) self.filenames = filenames self.xdet_trig_counts = {} ...

Rayonix MX series X-ray Detector

Rayonix_Detector

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Rayonix_Detector: """Rayonix MX series X-ray Detector""" def acquire_images(self, image_numbers, filenames): """Save a series of images image_numbers: 0-based, matching timing system's 'image_number''""" <|body_0|> def cancel_acquisition(self): """Undo 'acquire_i...

stack_v2_sparse_classes_36k_train_004684

4,154

permissive

[ { "docstring": "Save a series of images image_numbers: 0-based, matching timing system's 'image_number''", "name": "acquire_images", "signature": "def acquire_images(self, image_numbers, filenames)" }, { "docstring": "Undo 'acquire_images', stop saving images", "name": "cancel_acquisition", ...

2

null

Implement the Python class `Rayonix_Detector` described below. Class description: Rayonix MX series X-ray Detector Method signatures and docstrings: - def acquire_images(self, image_numbers, filenames): Save a series of images image_numbers: 0-based, matching timing system's 'image_number'' - def cancel_acquisition(s...

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

<|skeleton|> class Rayonix_Detector: """Rayonix MX series X-ray Detector""" def acquire_images(self, image_numbers, filenames): """Save a series of images image_numbers: 0-based, matching timing system's 'image_number''""" <|body_0|> def cancel_acquisition(self): """Undo 'acquire_i...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Rayonix_Detector: """Rayonix MX series X-ray Detector""" def acquire_images(self, image_numbers, filenames): """Save a series of images image_numbers: 0-based, matching timing system's 'image_number''""" image_numbers = list(image_numbers) filenames = list(filenames) debug...

the_stack_v2_python_sparse

rayonix_detector_client.py

bopopescu/Lauecollect

train

0

4bdf84211d39ef691061a0bc57d411a9efb966cf

[ "self.measure_list = measure_list\nself.op_list = [item.operations for item in measure_list]\nself.operations = dict()\nself.operation_statistics()", "for item in self.op_list:\n for key in item:\n if key not in self.operations:\n self.operations[key] = item[key]\n else:\n s...

MeasureList

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004685

5,111

permissive

[ { "docstring": "measure_list: a list of Measure Objects", "name": "__init__", "signature": "def __init__(self, measure_list)" }, { "docstring": "add up operations consumption of all layers", "name": "operation_statistics", "signature": "def operation_statistics(self)" }, { "docst...

3

null

Implement the Python class `MeasureList` described below. Class description: Implement the MeasureList class. Method signatures and docstrings: - def __init__(self, measure_list): measure_list: a list of Measure Objects - def operation_statistics(self): add up operations consumption of all layers - def get_operation_...

6c3031487cd1447b7f5362483c14b108177387bb

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class MeasureList: def __init__(self, measure_list): """measure_list: a list of Measure Objects""" self.measure_list = measure_list self.op_list = [item.operations for item in measure_list] self.operations = dict() self.operation_statistics() def operation_statistics(sel...

the_stack_v2_python_sparse

keras_wide_deep_98_table_15GB/output/analyze.py

WenqiJiang/FPGA-Accelerator-for-Recommender-Systems

train

6

3a08ce16bcdb2817884c9f6826303eb664586002

[ "assert hasattr(function, '__call__'), 'function should be a callable obj'\nself._function = function\nself._args = args\nself._kargs = kargs", "_args = list(self._args)\n_args.extend(args)\n_kargs = self._kargs.copy()\n_kargs.update(kargs)\nreturn self._function(*_args, **_kargs)" ]

A class that wraps a function to act like the function.

_Functor

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004686

2,943

permissive

[ { "docstring": "Constructor", "name": "__init__", "signature": "def __init__(self, function, *args, **kargs)" }, { "docstring": "Call function", "name": "__call__", "signature": "def __call__(self, *args, **kargs)" } ]

2

stack_v2_sparse_classes_30k_train_000883

Implement the Python class `_Functor` described below. Class description: A class that wraps a function to act like the function. Method signatures and docstrings: - def __init__(self, function, *args, **kargs): Constructor - def __call__(self, *args, **kargs): Call function

Implement the Python class `_Functor` described below. Class description: A class that wraps a function to act like the function. Method signatures and docstrings: - def __init__(self, function, *args, **kargs): Constructor - def __call__(self, *args, **kargs): Call function <|skeleton|> class _Functor: """A cla...

d99406f2af1fb62268c34453a2fbe6bd4a7348f0

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class _Functor: """A class that wraps a function to act like the function.""" def __init__(self, function, *args, **kargs): """Constructor""" assert hasattr(function, '__call__'), 'function should be a callable obj' self._function = function self._args = args self._kargs...

the_stack_v2_python_sparse

pyutilib/misc/factory.py

whart222/pyutilib

train

0

a10d4897ce68038a4836808819984bf6612c102a

[ "self.options = options\nself.django_class = locate(self.DJANGO_MODEL)\nself.django_instance_count = self.django_class.objects.count()\nself.logger = logging.getLogger(__name__)\nif self.options:\n self.options = Q(**self.options)\nelse:\n self.options = Q()\nif self.django_instance_count == 0:\n self.logg...

<|body_start_0|> self.options = options self.django_class = locate(self.DJANGO_MODEL) self.django_instance_count = self.django_class.objects.count() self.logger = logging.getLogger(__name__) if self.options: self.options = Q(**self.options) else: s...

The factory datatype denotes the type of data generated by this factory, which is used to ensure an associated mutator can effectively mutate data generated by this factory

DjangoModelFactory

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DjangoModelFactory: """The factory datatype denotes the type of data generated by this factory, which is used to ensure an associated mutator can effectively mutate data generated by this factory""" def __init__(self, options: dict=None): """Creates a given name factory""" <|...

stack_v2_sparse_classes_36k_train_004687

3,085

no_license

[ { "docstring": "Creates a given name factory", "name": "__init__", "signature": "def __init__(self, options: dict=None)" }, { "docstring": "Create a dataframe with the specified number of rows, and the requested columns, if no columns are specified, default columns will be returned", "name":...

2

stack_v2_sparse_classes_30k_test_001047

Implement the Python class `DjangoModelFactory` described below. Class description: The factory datatype denotes the type of data generated by this factory, which is used to ensure an associated mutator can effectively mutate data generated by this factory Method signatures and docstrings: - def __init__(self, option...

5ea3e552d29a37556490f0a72c47b4280e8e5f5e

<|skeleton|> class DjangoModelFactory: """The factory datatype denotes the type of data generated by this factory, which is used to ensure an associated mutator can effectively mutate data generated by this factory""" def __init__(self, options: dict=None): """Creates a given name factory""" <|...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class DjangoModelFactory: """The factory datatype denotes the type of data generated by this factory, which is used to ensure an associated mutator can effectively mutate data generated by this factory""" def __init__(self, options: dict=None): """Creates a given name factory""" self.options = ...

the_stack_v2_python_sparse

synth_data/records/factory/django.py

afrasier/synth-data

train

0

85085b822c9b11af9aabeef824a0293cf484a0a6

[ "self.time_frame = time_frame\nself.max_requests = max_requests\nself.verbose = verbose\nself._requests = deque([])\nself._client, self._db = (None, None)\nself._mongo_coll, self._output_file = (None, None)\nself._connection_type = None", "try:\n self._client = MongoClient('mongodb://localhost:%i/' % port)\n ...

<|body_start_0|> self.time_frame = time_frame self.max_requests = max_requests self.verbose = verbose self._requests = deque([]) self._client, self._db = (None, None) self._mongo_coll, self._output_file = (None, None) self._connection_type = None <|end_body_0|> <...

RequestScheduler

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RequestScheduler: def __init__(self, time_frame, max_requests, verbose=False): """Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.""" <|body_0|> def connect_to_mongodb(self, collection_name, port=27017, db_name='twitter-crawle...

stack_v2_sparse_classes_36k_train_004688

3,151

no_license

[ { "docstring": "Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.", "name": "__init__", "signature": "def __init__(self, time_frame, max_requests, verbose=False)" }, { "docstring": "Connect to MongoDB collection", "name": "connect_to_mongodb", ...

6

stack_v2_sparse_classes_30k_train_000731

Implement the Python class `RequestScheduler` described below. Class description: Implement the RequestScheduler class. Method signatures and docstrings: - def __init__(self, time_frame, max_requests, verbose=False): Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds. - d...

feb8cd0099c25b7fb36cb75498d1e205616f345d

<|skeleton|> class RequestScheduler: def __init__(self, time_frame, max_requests, verbose=False): """Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.""" <|body_0|> def connect_to_mongodb(self, collection_name, port=27017, db_name='twitter-crawle...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class RequestScheduler: def __init__(self, time_frame, max_requests, verbose=False): """Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.""" self.time_frame = time_frame self.max_requests = max_requests self.verbose = verbose se...

the_stack_v2_python_sparse

python/request_scheduler.py

MolnarAnna22/twitter-crawler

train

0

0f34c3993f67268315b5f8e56f99b3df4d73f6af

[ "self._p1Box = Rectangle(320, 600, (175, 425))\nself._p1Box.setFillColor('#f5deb3')\nself._p1Box.setBorderWidth(4)\nself._p1LabelRec = Rectangle(290, 90, (175, 180))\nself._p1LabelRec.setFillColor('#ce3120')\nself._p1LabelRec.setBorderWidth(2)\nself._p1LabelText = Text('Player 1', (175, 192), 32)\nself._p1ScoreText...

<|body_start_0|> self._p1Box = Rectangle(320, 600, (175, 425)) self._p1Box.setFillColor('#f5deb3') self._p1Box.setBorderWidth(4) self._p1LabelRec = Rectangle(290, 90, (175, 180)) self._p1LabelRec.setFillColor('#ce3120') self._p1LabelRec.setBorderWidth(2) self._p1L...

creates side panels for two players on either side of the board

Panel

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Panel: """creates side panels for two players on either side of the board""" def __init__(self, board): """contructs the panels on either side of the board for each player""" <|body_0|> def addTo(self, win): """adds both player's buttons and scores to the window"...

stack_v2_sparse_classes_36k_train_004689

34,907

no_license

[ { "docstring": "contructs the panels on either side of the board for each player", "name": "__init__", "signature": "def __init__(self, board)" }, { "docstring": "adds both player's buttons and scores to the window", "name": "addTo", "signature": "def addTo(self, win)" }, { "docs...

5

null

Implement the Python class `Panel` described below. Class description: creates side panels for two players on either side of the board Method signatures and docstrings: - def __init__(self, board): contructs the panels on either side of the board for each player - def addTo(self, win): adds both player's buttons and ...

e5d96a65fc84481b85072cfb55dea9a0666634b5

<|skeleton|> class Panel: """creates side panels for two players on either side of the board""" def __init__(self, board): """contructs the panels on either side of the board for each player""" <|body_0|> def addTo(self, win): """adds both player's buttons and scores to the window"...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Panel: """creates side panels for two players on either side of the board""" def __init__(self, board): """contructs the panels on either side of the board for each player""" self._p1Box = Rectangle(320, 600, (175, 425)) self._p1Box.setFillColor('#f5deb3') self._p1Box.setB...

the_stack_v2_python_sparse

Games-2017/32/Game.py

paulmagnus/CSPy

train

0

a543ae22cfc04b8b841915f98a627fcc4d2636f5

[ "super().__init__()\nself.reasoning_module = reasoning_module\nself.question_module = question_module\nself.scene_graph_module = scene_graph_module\nself.question_embeddings = question_embeddings\nself.scene_graph_embeddings = scene_graph_embeddings", "if self.scene_graph_embeddings is not None:\n assert len(s...

<|body_start_0|> super().__init__() self.reasoning_module = reasoning_module self.question_module = question_module self.scene_graph_module = scene_graph_module self.question_embeddings = question_embeddings self.scene_graph_embeddings = scene_graph_embeddings <|end_body_...

Network that uses multiple GCN/BiLSTM inputs for its question and knowledge-base representations, and a reasoning module for predictions.

VQA

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class VQA: """Network that uses multiple GCN/BiLSTM inputs for its question and knowledge-base representations, and a reasoning module for predictions.""" def __init__(self, reasoning_module: AbstractReasoningModule, question_module: AbstractQuestionModule, scene_graph_module: AbstractSceneGraphMo...

stack_v2_sparse_classes_36k_train_004690

2,730

no_license

[ { "docstring": "Create a `VQA` model.", "name": "__init__", "signature": "def __init__(self, reasoning_module: AbstractReasoningModule, question_module: AbstractQuestionModule, scene_graph_module: AbstractSceneGraphModule, question_embeddings: Optional[torch.nn.Embedding]=None, scene_graph_embeddings: O...

2

null

Implement the Python class `VQA` described below. Class description: Network that uses multiple GCN/BiLSTM inputs for its question and knowledge-base representations, and a reasoning module for predictions. Method signatures and docstrings: - def __init__(self, reasoning_module: AbstractReasoningModule, question_modu...

78c479f8d0b3209ece9f9ccbbf63810802293f61

<|skeleton|> class VQA: """Network that uses multiple GCN/BiLSTM inputs for its question and knowledge-base representations, and a reasoning module for predictions.""" def __init__(self, reasoning_module: AbstractReasoningModule, question_module: AbstractQuestionModule, scene_graph_module: AbstractSceneGraphMo...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class VQA: """Network that uses multiple GCN/BiLSTM inputs for its question and knowledge-base representations, and a reasoning module for predictions.""" def __init__(self, reasoning_module: AbstractReasoningModule, question_module: AbstractQuestionModule, scene_graph_module: AbstractSceneGraphModule, questio...

the_stack_v2_python_sparse

gat_vqa/modules/vqa.py

alexmirrington/gat-vqa

train

4

c762a5a20d89ef6ab11fe292d2a37ae12ede3ca4

[ "self._hass = hass\nself._store = Store[dict[str, dict[str, bool | Orientation]]](hass, STORAGE_VERSION, STORAGE_KEY)\nself._dynamic_stream_settings_by_entity_id: dict[str, DynamicStreamSettings] = {}", "dynamic_stream_settings = self._dynamic_stream_settings_by_entity_id.get(entity_id)\nif preload_stream is not ...

<|body_start_0|> self._hass = hass self._store = Store[dict[str, dict[str, bool | Orientation]]](hass, STORAGE_VERSION, STORAGE_KEY) self._dynamic_stream_settings_by_entity_id: dict[str, DynamicStreamSettings] = {} <|end_body_0|> <|body_start_1|> dynamic_stream_settings = self._dynamic_...

Handle camera preferences.

CameraPreferences

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004691

4,020

permissive

[ { "docstring": "Initialize camera prefs.", "name": "__init__", "signature": "def __init__(self, hass: HomeAssistant) -> None" }, { "docstring": "Update camera preferences. Also update the DynamicStreamSettings if they exist. preload_stream is stored in a Store orientation is stored in the Entity...

3

null

Implement the Python class `CameraPreferences` described below. Class description: Handle camera preferences. Method signatures and docstrings: - def __init__(self, hass: HomeAssistant) -> None: Initialize camera prefs. - async def async_update(self, entity_id: str, *, preload_stream: bool | UndefinedType=UNDEFINED, ...

80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CameraPreferences: """Handle camera preferences.""" def __init__(self, hass: HomeAssistant) -> None: """Initialize camera prefs.""" self._hass = hass self._store = Store[dict[str, dict[str, bool | Orientation]]](hass, STORAGE_VERSION, STORAGE_KEY) self._dynamic_stream_sett...

the_stack_v2_python_sparse

homeassistant/components/camera/prefs.py

home-assistant/core

train

35,501

1d88b43fff2ba6fbcc7aea4487bec281b30f0328

[ "self.use_cuda = use_cuda\nif self.use_cuda is True and cuda_installed is False:\n self.use_cuda = False\n print('** Cuda not available for Fourier transform.')\n print('** Performing the Fourier transform on the CPU.')\nself.use_mkl = mkl_installed\nif self.use_cuda:\n copy_tpb = (8, 32) if cuda_gpu_mo...

<|body_start_0|> self.use_cuda = use_cuda if self.use_cuda is True and cuda_installed is False: self.use_cuda = False print('** Cuda not available for Fourier transform.') print('** Performing the Fourier transform on the CPU.') self.use_mkl = mkl_installed ...

Object that performs Fourier transform of 2D arrays along the z axis, (axis 0) either on the CPU (using pyfftw) or on the GPU (using cufft) See the methods `transform` and `inverse transform` for more information

FFT

[ "BSD-2-Clause", "LicenseRef-scancode-unknown-license-reference" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FFT: """Object that performs Fourier transform of 2D arrays along the z axis, (axis 0) either on the CPU (using pyfftw) or on the GPU (using cufft) See the methods `transform` and `inverse transform` for more information""" def __init__(self, Nr, Nz, use_cuda=False, nthreads=None): "...

stack_v2_sparse_classes_36k_train_004692

6,780

permissive

[ { "docstring": "Initialize an FFT object Parameters ---------- Nr: int Number of grid points along the r axis (axis -1) Nz: int Number of grid points along the z axis (axis 0) use_cuda: bool, optional Whether to perform the Fourier transform on the z axis nthreads : int, optional Number of threads for the FFTW ...

3

null

Implement the Python class `FFT` described below. Class description: Object that performs Fourier transform of 2D arrays along the z axis, (axis 0) either on the CPU (using pyfftw) or on the GPU (using cufft) See the methods `transform` and `inverse transform` for more information Method signatures and docstrings: - ...

5744598571eab40c4fb45cc3db21f346b69b1f37

<|skeleton|> class FFT: """Object that performs Fourier transform of 2D arrays along the z axis, (axis 0) either on the CPU (using pyfftw) or on the GPU (using cufft) See the methods `transform` and `inverse transform` for more information""" def __init__(self, Nr, Nz, use_cuda=False, nthreads=None): "...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class FFT: """Object that performs Fourier transform of 2D arrays along the z axis, (axis 0) either on the CPU (using pyfftw) or on the GPU (using cufft) See the methods `transform` and `inverse transform` for more information""" def __init__(self, Nr, Nz, use_cuda=False, nthreads=None): """Initialize ...

the_stack_v2_python_sparse

fbpic/fields/spectral_transform/fourier.py

fbpic/fbpic

train

163

a5a642817da1c334a050a930b50d8b8d067952e5

[ "size = len(prices)\nif size == 0:\n return 0\nminValue = prices[0]\nascMax = [0] * size\ndesMax = [0] * (size + 1)\nfor i in range(len(prices)):\n minValue = min(minValue, prices[i])\n ascMax[i] = max(ascMax[i - 1], prices[i] - minValue)\nj = size - 1\nmaxValue = prices[size - 1]\nwhile j >= 0:\n maxVa...

<|body_start_0|> size = len(prices) if size == 0: return 0 minValue = prices[0] ascMax = [0] * size desMax = [0] * (size + 1) for i in range(len(prices)): minValue = min(minValue, prices[i]) ascMax[i] = max(ascMax[i - 1], prices[i] - mi...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004693

1,745

no_license

[ { "docstring": ":type prices: List[int] :rtype: int", "name": "maxProfit", "signature": "def maxProfit(self, prices)" }, { "docstring": ":type prices: List[int] :rtype: int", "name": "maxProfit2", "signature": "def maxProfit2(self, prices)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxProfit(self, prices): :type prices: List[int] :rtype: int - def maxProfit2(self, prices): :type prices: List[int] :rtype: int

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def maxProfit(self, prices): :type prices: List[int] :rtype: int - def maxProfit2(self, prices): :type prices: List[int] :rtype: int <|skeleton|> class Solution: def maxPro...

85ceaf8f3da0efd66b4394ef16669ea673218265

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class Solution: def maxProfit(self, prices): """:type prices: List[int] :rtype: int""" size = len(prices) if size == 0: return 0 minValue = prices[0] ascMax = [0] * size desMax = [0] * (size + 1) for i in range(len(prices)): minValue = ...

the_stack_v2_python_sparse

LeetCode/动态规划/123. 买卖股票的最佳时机3.py

alexkie007/offer

train

2

3db5f3a2e2e3b286072b45c00847e839e99886c9

[ "try:\n if 'key' in request.query_params:\n key = request.query_params['key']\n else:\n key = None\n request_args = {'service': 'meta', 'collection_name': collection, 'experiment_name': experiment, 'channel_name': channel, 'key': key}\n req = BossRequest(request, request_args)\n lookup_...

<|body_start_0|> try: if 'key' in request.query_params: key = request.query_params['key'] else: key = None request_args = {'service': 'meta', 'collection_name': collection, 'experiment_name': experiment, 'channel_name': channel, 'key': key} ...

View to handle read,write,update and delete metadata queries

BossMeta

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BossMeta: """View to handle read,write,update and delete metadata queries""" def get(self, request, collection, experiment=None, channel=None): """View to handle GET requests for metadata Args: request: DRF Request object collection: Collection Name experiment: Experiment name. defau...

stack_v2_sparse_classes_36k_train_004694

8,196

permissive

[ { "docstring": "View to handle GET requests for metadata Args: request: DRF Request object collection: Collection Name experiment: Experiment name. default = None channel: Channel name Returns:", "name": "get", "signature": "def get(self, request, collection, experiment=None, channel=None)" }, { ...

4

stack_v2_sparse_classes_30k_train_002367

Implement the Python class `BossMeta` described below. Class description: View to handle read,write,update and delete metadata queries Method signatures and docstrings: - def get(self, request, collection, experiment=None, channel=None): View to handle GET requests for metadata Args: request: DRF Request object colle...

c2e26d272bd7b8d54abdc2948193163537e31291

<|skeleton|> class BossMeta: """View to handle read,write,update and delete metadata queries""" def get(self, request, collection, experiment=None, channel=None): """View to handle GET requests for metadata Args: request: DRF Request object collection: Collection Name experiment: Experiment name. defau...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BossMeta: """View to handle read,write,update and delete metadata queries""" def get(self, request, collection, experiment=None, channel=None): """View to handle GET requests for metadata Args: request: DRF Request object collection: Collection Name experiment: Experiment name. default = None cha...

the_stack_v2_python_sparse

django/bossmeta/views.py

jhuapl-boss/boss

train

20

eff2b63b5159fd291bdb55b07e69b3c1de36e96f

[ "self.CapsuleGuid = self.EFI_FIRMWARE_MANAGEMENT_CAPSULE_ID_GUID\nself.HeaderSize = self._StructSize\nself.OemFlags = 0\nself.PersistAcrossReset = False\nself.PopulateSystemTable = False\nself.InitiateReset = False\nself.CapsuleImageSize = self.HeaderSize\nself.Payload = b''\nself.FmpCapsuleHeader = None", "Flags...

<|body_start_0|> self.CapsuleGuid = self.EFI_FIRMWARE_MANAGEMENT_CAPSULE_ID_GUID self.HeaderSize = self._StructSize self.OemFlags = 0 self.PersistAcrossReset = False self.PopulateSystemTable = False self.InitiateReset = False self.CapsuleImageSize = self.HeaderSiz...

An object representing a UEFI_CAPSULE_HEADER. Attributes: CapsuleGuid (uuid.UUID): 6DCBD5ED-E82D-4C44-BDA1-7194199AD92A HeaderSize (int): The size of the capsule header. This may be larger than the size of the EFI_CAPSULE_HEADER since CapsuleGuid may imply extended header entries OemFlags (int): Bit-mapped list describ...

UefiCapsuleHeaderClass

[ "BSD-2-Clause-Patent" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class UefiCapsuleHeaderClass: """An object representing a UEFI_CAPSULE_HEADER. Attributes: CapsuleGuid (uuid.UUID): 6DCBD5ED-E82D-4C44-BDA1-7194199AD92A HeaderSize (int): The size of the capsule header. This may be larger than the size of the EFI_CAPSULE_HEADER since CapsuleGuid may imply extended head...

stack_v2_sparse_classes_36k_train_004695

6,514

permissive

[ { "docstring": "Inits an empty object.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Serializes the Header + payload. Returns: (str): string representing packed data as bytes (i.e. b'\\\\x01\\\\x00\\\\x03')", "name": "Encode", "signature": "def Encode(self)" ...

4

stack_v2_sparse_classes_30k_train_008138

Implement the Python class `UefiCapsuleHeaderClass` described below. Class description: An object representing a UEFI_CAPSULE_HEADER. Attributes: CapsuleGuid (uuid.UUID): 6DCBD5ED-E82D-4C44-BDA1-7194199AD92A HeaderSize (int): The size of the capsule header. This may be larger than the size of the EFI_CAPSULE_HEADER si...

78295929b37af62a8cfc4c28eab72ed0c468f350

<|skeleton|> class UefiCapsuleHeaderClass: """An object representing a UEFI_CAPSULE_HEADER. Attributes: CapsuleGuid (uuid.UUID): 6DCBD5ED-E82D-4C44-BDA1-7194199AD92A HeaderSize (int): The size of the capsule header. This may be larger than the size of the EFI_CAPSULE_HEADER since CapsuleGuid may imply extended head...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class UefiCapsuleHeaderClass: """An object representing a UEFI_CAPSULE_HEADER. Attributes: CapsuleGuid (uuid.UUID): 6DCBD5ED-E82D-4C44-BDA1-7194199AD92A HeaderSize (int): The size of the capsule header. This may be larger than the size of the EFI_CAPSULE_HEADER since CapsuleGuid may imply extended header entries Oe...

the_stack_v2_python_sparse

edk2toollib/uefi/uefi_capsule_header.py

tianocore/edk2-pytool-library

train

47

8a249e999e24661c6cb7cf3e4afee3e3287e2896

[ "string = self.x.get_string()\nlines = string.split('\\n')\nself.assert_('' not in lines)", "string = self.x.get_string()\nlines = string.split('\\n')\nlengths = [len(line) for line in lines]\nlengths = set(lengths)\nself.assertEqual(len(lengths), 1)" ]

Some very basic tests.

BasicTests

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_36k_train_004696

9,697

no_license

[ { "docstring": "No table should ever have blank lines in it.", "name": "testNoBlankLines", "signature": "def testNoBlankLines(self)" }, { "docstring": "All lines in a table should be of the same length.", "name": "testAllLengthsEqual", "signature": "def testAllLengthsEqual(self)" } ]

2

null

Implement the Python class `BasicTests` described below. Class description: Some very basic tests. Method signatures and docstrings: - def testNoBlankLines(self): No table should ever have blank lines in it. - def testAllLengthsEqual(self): All lines in a table should be of the same length.

Implement the Python class `BasicTests` described below. Class description: Some very basic tests. Method signatures and docstrings: - def testNoBlankLines(self): No table should ever have blank lines in it. - def testAllLengthsEqual(self): All lines in a table should be of the same length. <|skeleton|> class BasicT...

235fd68d62923dfe514db182e1c4ccf7a72af5f5

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class BasicTests: """Some very basic tests.""" def testNoBlankLines(self): """No table should ever have blank lines in it.""" string = self.x.get_string() lines = string.split('\n') self.assert_('' not in lines) def testAllLengthsEqual(self): """All lines in a table...

the_stack_v2_python_sparse

src/sandbox/prettytable_test.py

JoaoGRRodrigues/rodd

train

0

56d67561858ea517483ad47f76c4b85a1913e0ba

[ "ctx = super().get_panel_context(view, request, context)\nif isinstance(view, StockLocationDetail):\n ctx['location'] = view.get_object()\nreturn ctx", "panels = [{'title': 'No Content'}]\nif self.get_setting('ENABLE_HELLO_WORLD'):\n content = \"\\n <strong>Hello world!</strong>\\n <hr...

<|body_start_0|> ctx = super().get_panel_context(view, request, context) if isinstance(view, StockLocationDetail): ctx['location'] = view.get_object() return ctx <|end_body_0|> <|body_start_1|> panels = [{'title': 'No Content'}] if self.get_setting('ENABLE_HELLO_WORL...

A sample plugin which renders some custom panels.

CustomPanelSample

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class CustomPanelSample: """A sample plugin which renders some custom panels.""" def get_panel_context(self, view, request, context): """Returns enriched context.""" <|body_0|> def get_custom_panels(self, view, request): """You can decide at run-time which custom panel...

stack_v2_sparse_classes_36k_train_004697

4,420

permissive

[ { "docstring": "Returns enriched context.", "name": "get_panel_context", "signature": "def get_panel_context(self, view, request, context)" }, { "docstring": "You can decide at run-time which custom panels you want to display! - Display on every page - Only on a single page or set of pages - Onl...

2

stack_v2_sparse_classes_30k_train_015379

Implement the Python class `CustomPanelSample` described below. Class description: A sample plugin which renders some custom panels. Method signatures and docstrings: - def get_panel_context(self, view, request, context): Returns enriched context. - def get_custom_panels(self, view, request): You can decide at run-ti...

e88a8e99a5f0b201c67a95cba097c729f090d5e2

<|skeleton|> class CustomPanelSample: """A sample plugin which renders some custom panels.""" def get_panel_context(self, view, request, context): """Returns enriched context.""" <|body_0|> def get_custom_panels(self, view, request): """You can decide at run-time which custom panel...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class CustomPanelSample: """A sample plugin which renders some custom panels.""" def get_panel_context(self, view, request, context): """Returns enriched context.""" ctx = super().get_panel_context(view, request, context) if isinstance(view, StockLocationDetail): ctx['locati...

the_stack_v2_python_sparse

InvenTree/plugin/samples/integration/custom_panel_sample.py

inventree/InvenTree

train

3,077

05dedf60dd6d1d428eedfa1742cd3e3231549605

[ "config_value = ConfigValue.query.filter_by(key=key).first()\nif config_value is None:\n environ[key] = value\n config_value = ConfigValue(key=key, value=value)\n db.session.add(config_value)\n db.session.commit()\nelse:\n self.update(key=key, value=value)", "environ[key] = value\nconfig_value = Co...

<|body_start_0|> config_value = ConfigValue.query.filter_by(key=key).first() if config_value is None: environ[key] = value config_value = ConfigValue(key=key, value=value) db.session.add(config_value) db.session.commit() else: self.upda...

CRUD persistent storage service. A class with the single responsibility of creating/mutating ConfigValue data.

ConfigValueService

[ "Apache-2.0", "LGPL-3.0-only", "MIT", "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ConfigValueService: """CRUD persistent storage service. A class with the single responsibility of creating/mutating ConfigValue data.""" def create(self, key, value): """Creates and persists a new config_value record to the database. Args: key (str): The key to lookup. value (str): T...

stack_v2_sparse_classes_36k_train_004698

1,698

permissive

[ { "docstring": "Creates and persists a new config_value record to the database. Args: key (str): The key to lookup. value (str): The value. Returns: None", "name": "create", "signature": "def create(self, key, value)" }, { "docstring": "Updates a persisted config_value. Args: Returns: None", ...

3

null

Implement the Python class `ConfigValueService` described below. Class description: CRUD persistent storage service. A class with the single responsibility of creating/mutating ConfigValue data. Method signatures and docstrings: - def create(self, key, value): Creates and persists a new config_value record to the dat...

f39d8a5f00fccccdbbcbad7f7ff039c74dfe66ae

<|skeleton|> class ConfigValueService: """CRUD persistent storage service. A class with the single responsibility of creating/mutating ConfigValue data.""" def create(self, key, value): """Creates and persists a new config_value record to the database. Args: key (str): The key to lookup. value (str): T...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class ConfigValueService: """CRUD persistent storage service. A class with the single responsibility of creating/mutating ConfigValue data.""" def create(self, key, value): """Creates and persists a new config_value record to the database. Args: key (str): The key to lookup. value (str): The value. Ret...

the_stack_v2_python_sparse

app/services/config_value_service.py

DataDog/gello

train

50

770bdc7713c18ba7facb64c1a33f4ede383fbb01

[ "super(AdditionalFeatureMapGenerator, self).__init__()\ndepth_fn = get_depth_fn(depth_multiplier, min_depth)\nself.channels = depth_fn(layer_depth)\nself.insert_1x1_conv = insert_1x1_conv\nself.use_explicit_padding = use_explicit_padding\nself.use_depthwise = use_depthwise\nself.pre_channels = pre_channels\ninterme...

<|body_start_0|> super(AdditionalFeatureMapGenerator, self).__init__() depth_fn = get_depth_fn(depth_multiplier, min_depth) self.channels = depth_fn(layer_depth) self.insert_1x1_conv = insert_1x1_conv self.use_explicit_padding = use_explicit_padding self.use_depthwise = u...

Generate feature layers outside the backbone network

AdditionalFeatureMapGenerator

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class AdditionalFeatureMapGenerator: """Generate feature layers outside the backbone network""" def __init__(self, insert_1x1_conv, use_explicit_padding, use_depthwise, pool_residual, pre_channels, layer_depth, depth_multiplier, min_depth, conv_kernel_size): """Create operation cell sequen...

stack_v2_sparse_classes_36k_train_004699

10,243

permissive

[ { "docstring": "Create operation cell sequence when `from_layer` is an empty str. Args: insert_1x1_conv (bool): use_explicit_padding (bool): use_depthwise (bool): pool_residual (bool): pre_channels (int): Depth of the previous feature map in feature map list. layer_depth (int): Layer depth in `feature_map_layou...

2

null

Implement the Python class `AdditionalFeatureMapGenerator` described below. Class description: Generate feature layers outside the backbone network Method signatures and docstrings: - def __init__(self, insert_1x1_conv, use_explicit_padding, use_depthwise, pool_residual, pre_channels, layer_depth, depth_multiplier, m...

eab643f51336dbf7d711f02d27e6516e5affee59

<|skeleton|> class AdditionalFeatureMapGenerator: """Generate feature layers outside the backbone network""" def __init__(self, insert_1x1_conv, use_explicit_padding, use_depthwise, pool_residual, pre_channels, layer_depth, depth_multiplier, min_depth, conv_kernel_size): """Create operation cell sequen...

stack_v2_sparse_classes_36k

data/stack_v2_sparse_classes_30k

class AdditionalFeatureMapGenerator: """Generate feature layers outside the backbone network""" def __init__(self, insert_1x1_conv, use_explicit_padding, use_depthwise, pool_residual, pre_channels, layer_depth, depth_multiplier, min_depth, conv_kernel_size): """Create operation cell sequence when `from...

the_stack_v2_python_sparse

research/cv/ssd_inception_v2/src/feature_map_generators.py

mindspore-ai/models

train

301