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

333f1e77562f3295fa1cced6c3a2d28320fbf1ea

[ "N = len(nums)\ndp = [[float('inf') for _ in range(m + 1)] for _ in range(N + 1)]\nacc = [0 for _ in range(N + 1)]\nfor i in range(N + 1):\n acc[i + 1] = acc[i] + nums[i]\ndp[0][0] = 0\nfor i in range(1, N + 1):\n for j in range(1, m + 1):\n for k in range(i):\n dp[i][j] = min(dp[i][j], max(...

<|body_start_0|> N = len(nums) dp = [[float('inf') for _ in range(m + 1)] for _ in range(N + 1)] acc = [0 for _ in range(N + 1)] for i in range(N + 1): acc[i + 1] = acc[i] + nums[i] dp[0][0] = 0 for i in range(1, N + 1): for j in range(1, m + 1): ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009400

1,911

no_license

[ { "docstring": ":type nums: List[int] :type m: int :rtype: int", "name": "splitArray", "signature": "def splitArray(self, nums, m)" }, { "docstring": "type days: int type task: List[int]", "name": "min_human", "signature": "def min_human(self, tasks, days)" } ]

2

null

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def splitArray(self, nums, m): :type nums: List[int] :type m: int :rtype: int - def min_human(self, tasks, days): type days: int type task: List[int]

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

1a3c1f4d6e9d3444039f087763b93241f4ba7892

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def splitArray(self, nums, m): """:type nums: List[int] :type m: int :rtype: int""" N = len(nums) dp = [[float('inf') for _ in range(m + 1)] for _ in range(N + 1)] acc = [0 for _ in range(N + 1)] for i in range(N + 1): acc[i + 1] = acc[i] + nums[i]...

the_stack_v2_python_sparse

Algorithm/410_Split_Array_Largest_Sum.py

Gi1ia/TechNoteBook

train

7

1c9c233b175fe713ecfa3d98ad640f9291151b73

[ "self.generator = random_number_generator\nself.length = length\nself.num_generated_numbers = None", "if self.num_generated_numbers is not None:\n raise RuntimeError\nself.num_generated_numbers = 0\nreturn self", "if self.num_generated_numbers is None:\n raise RuntimeError('Cannot call \"next\" before Ran...

RandIter

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RandIter: def __init__(self, random_number_generator, length): """Arguments --------- random_number_generator : A random number generator with a ``rand`` method that takes no arguments and returns a random number. length : int The number of random numbers to generate""" <|body_0|...

stack_v2_sparse_classes_75kplus_train_009401

3,027

no_license

[ { "docstring": "Arguments --------- random_number_generator : A random number generator with a ``rand`` method that takes no arguments and returns a random number. length : int The number of random numbers to generate", "name": "__init__", "signature": "def __init__(self, random_number_generator, length...

3

stack_v2_sparse_classes_30k_train_020359

Implement the Python class `RandIter` described below. Class description: Implement the RandIter class. Method signatures and docstrings: - def __init__(self, random_number_generator, length): Arguments --------- random_number_generator : A random number generator with a ``rand`` method that takes no arguments and re...

527f908422b559e6afc1ec025c04336d7a13828d

<|skeleton|> class RandIter: def __init__(self, random_number_generator, length): """Arguments --------- random_number_generator : A random number generator with a ``rand`` method that takes no arguments and returns a random number. length : int The number of random numbers to generate""" <|body_0|...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RandIter: def __init__(self, random_number_generator, length): """Arguments --------- random_number_generator : A random number generator with a ``rand`` method that takes no arguments and returns a random number. length : int The number of random numbers to generate""" self.generator = random...

the_stack_v2_python_sparse

src/nicolai_munsterhjelm_ex/ex05/myrand.py

Nicomunster/INF200-2019-Exercises

train

0

363a45c6bf1ab508861ef94dedc9776eb690ebd1

[ "self._scenario = []\nself._approaches = []\nself._approaches.append(PatApproach())\nself._approaches.append(MatApproach())\nself._approaches.append(MaxApproach())\nself._approaches.append(PacApproach())", "scenario_file = open(scenario_file_name)\nfor current_line in scenario_file:\n new_customer = Customer(c...

A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you should not change the interface, you may n...

Simulator

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Simulator: """A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you shoul...

stack_v2_sparse_classes_75kplus_train_009402

4,220

no_license

[ { "docstring": "Initialize a Simulation.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Load a scenario from the scenario_file_name and store it in _scenario :param scenario_file_name: Name of the scenario file :type scenario_file_name: str :rtype: None", "name": ...

3

stack_v2_sparse_classes_30k_test_000397

Implement the Python class `Simulator` described below. Class description: A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and ...

2b9312b30171686f1bb08f4052edd8c748cf848f

<|skeleton|> class Simulator: """A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you shoul...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Simulator: """A Simulator. This class represents the simulator which initiates different approaches, load scenario from the file, and call restaurant function for new customer arrivals and at each turn. Of course, you may add whatever private attributes and methods you want. But because you should not change ...

the_stack_v2_python_sparse

Assignments/a1/simulator.py

Lost-Accountant/csc148_2016_s

train

0

2d57ae37f7de4d2ff20b69506a16cb64c84ce72b

[ "if self._instance is None:\n self._instance = object.__new__(self, *args, **kargs)\n self._tables = {}\n self._labels = []\nreturn self._instance", "if label == None:\n raise RelaxError('The table label must be supplied.')\nif label in self._labels:\n raise RelaxError(\"The table with label '%s' h...

<|body_start_0|> if self._instance is None: self._instance = object.__new__(self, *args, **kargs) self._tables = {} self._labels = [] return self._instance <|end_body_0|> <|body_start_1|> if label == None: raise RelaxError('The table label must be...

The data singleton holding all of the description tables.

Uf_tables

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Uf_tables: """The data singleton holding all of the description tables.""" def __new__(self, *args, **kargs): """Replacement method for implementing the singleton design pattern.""" <|body_0|> def add_table(self, label=None, caption=None, caption_short=None, spacing=True...

stack_v2_sparse_classes_75kplus_train_009403

9,776

no_license

[ { "docstring": "Replacement method for implementing the singleton design pattern.", "name": "__new__", "signature": "def __new__(self, *args, **kargs)" }, { "docstring": "Add a new table to the object. @keyword label: The unique label of the table. This is used to identify tables, and is also us...

3

stack_v2_sparse_classes_30k_train_047944

Implement the Python class `Uf_tables` described below. Class description: The data singleton holding all of the description tables. Method signatures and docstrings: - def __new__(self, *args, **kargs): Replacement method for implementing the singleton design pattern. - def add_table(self, label=None, caption=None, ...

c317326ddeacd1a1c608128769676899daeae531

<|skeleton|> class Uf_tables: """The data singleton holding all of the description tables.""" def __new__(self, *args, **kargs): """Replacement method for implementing the singleton design pattern.""" <|body_0|> def add_table(self, label=None, caption=None, caption_short=None, spacing=True...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Uf_tables: """The data singleton holding all of the description tables.""" def __new__(self, *args, **kargs): """Replacement method for implementing the singleton design pattern.""" if self._instance is None: self._instance = object.__new__(self, *args, **kargs) se...

the_stack_v2_python_sparse

user_functions/data.py

jlec/relax

train

4

5a583ca1d3a3038c033ae1f39a38904479b7cfcc

[ "obj = Sensor.objects(name=name).first()\nif obj is None:\n return jsonify(responses.invalid_uuid)\ntags_owned = [{'name': tag.name, 'value': tag.value} for tag in obj.tags]\ntags = get_building_tags(obj.building)\nresponse = dict(responses.success_true)\nresponse.update({'tags': tags, 'tags_owned': tags_owned})...

<|body_start_0|> obj = Sensor.objects(name=name).first() if obj is None: return jsonify(responses.invalid_uuid) tags_owned = [{'name': tag.name, 'value': tag.value} for tag in obj.tags] tags = get_building_tags(obj.building) response = dict(responses.success_true) ...

SensorTagsService

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SensorTagsService: def get(self, name): """Args as data: "name" : <sensor-uuid> Returns (JSON): { "tags": { "Tag Name": [ List of eligible values], . . . }, (These are the list of eligibile tags for this sensor) "tags_owned": [ { "name": <Tag-Name>, "value": <Tag-Value> }, . . . ] (These...

stack_v2_sparse_classes_75kplus_train_009404

2,802

permissive

[ { "docstring": "Args as data: \"name\" : <sensor-uuid> Returns (JSON): { \"tags\": { \"Tag Name\": [ List of eligible values], . . . }, (These are the list of eligibile tags for this sensor) \"tags_owned\": [ { \"name\": <Tag-Name>, \"value\": <Tag-Value> }, . . . ] (These are the list of tags owned by this sen...

2

null

Implement the Python class `SensorTagsService` described below. Class description: Implement the SensorTagsService class. Method signatures and docstrings: - def get(self, name): Args as data: "name" : <sensor-uuid> Returns (JSON): { "tags": { "Tag Name": [ List of eligible values], . . . }, (These are the list of el...

53ba7519c56d46af1e32a77aab5cf1c5cd8143fc

<|skeleton|> class SensorTagsService: def get(self, name): """Args as data: "name" : <sensor-uuid> Returns (JSON): { "tags": { "Tag Name": [ List of eligible values], . . . }, (These are the list of eligibile tags for this sensor) "tags_owned": [ { "name": <Tag-Name>, "value": <Tag-Value> }, . . . ] (These...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SensorTagsService: def get(self, name): """Args as data: "name" : <sensor-uuid> Returns (JSON): { "tags": { "Tag Name": [ List of eligible values], . . . }, (These are the list of eligibile tags for this sensor) "tags_owned": [ { "name": <Tag-Name>, "value": <Tag-Value> }, . . . ] (These are the list ...

the_stack_v2_python_sparse

BuildingDepot-v3.2.8/buildingdepot/CentralService/app/rest_api/sensors/sensor_tags.py

Entromorgan/GIoTTo

train

0

dc17fb0f49a4c61be892bc5341567d564ca82806

[ "if session is None and slot is None:\n raise LunaException('A slot ID or a session handle must be specified!')\nself.password = password\nself.user = user\nself.session = session\nself.slot = slot\nself._session = None", "if self.session is None:\n self._session = Session(self.slot)\n self.session = sel...

<|body_start_0|> if session is None and slot is None: raise LunaException('A slot ID or a session handle must be specified!') self.password = password self.user = user self.session = session self.slot = slot self._session = None <|end_body_0|> <|body_start_1|...

Session which has a user authenticated; C_Login is run

AuthenticatedSession

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AuthenticatedSession: """Session which has a user authenticated; C_Login is run""" def __init__(self, password, user, session=None, slot=None): """A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: use...

stack_v2_sparse_classes_75kplus_train_009405

3,686

permissive

[ { "docstring": "A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: user password :param user: user :param session: session handle of an already open session :param slot: slot number", "name": "__init__", "signature": "def...

3

stack_v2_sparse_classes_30k_train_040776

Implement the Python class `AuthenticatedSession` described below. Class description: Session which has a user authenticated; C_Login is run Method signatures and docstrings: - def __init__(self, password, user, session=None, slot=None): A session can optionally already be open. Otherwise open one on entry. It is an ...

1d0b94307b9c92c4f19c3d3fe3bda1be37f4c853

<|skeleton|> class AuthenticatedSession: """Session which has a user authenticated; C_Login is run""" def __init__(self, password, user, session=None, slot=None): """A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: use...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AuthenticatedSession: """Session which has a user authenticated; C_Login is run""" def __init__(self, password, user, session=None, slot=None): """A session can optionally already be open. Otherwise open one on entry. It is an error to omit both session and slot. :param password: user password :p...

the_stack_v2_python_sparse

pycryptoki/utilities.py

ThalesGroup/pycryptoki

train

29

0bc101cb949a2fdb2bf83006b13d2dd98a690a04

[ "self.bills = {}\nself.cost_entries = {}\nself.line_items = []\nself.products = {}\nself.reservations = {}\nself.pricing = {}\nself.requested_partitions = set()", "self.bills = {}\nself.cost_entries = {}\nself.line_items = []\nself.products = {}\nself.reservations = {}\nself.pricing = {}" ]

<|body_start_0|> self.bills = {} self.cost_entries = {} self.line_items = [] self.products = {} self.reservations = {} self.pricing = {} self.requested_partitions = set() <|end_body_0|> <|body_start_1|> self.bills = {} self.cost_entries = {} ...

Cost usage report transcribed to our database models. Effectively a struct for associated database tables.

ProcessedReport

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProcessedReport: """Cost usage report transcribed to our database models. Effectively a struct for associated database tables.""" def __init__(self): """Initialize new cost entry containers.""" <|body_0|> def remove_processed_rows(self): """Clear a batch of rows ...

stack_v2_sparse_classes_75kplus_train_009406

19,503

permissive

[ { "docstring": "Initialize new cost entry containers.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Clear a batch of rows from their containers.", "name": "remove_processed_rows", "signature": "def remove_processed_rows(self)" } ]

2

stack_v2_sparse_classes_30k_train_001374

Implement the Python class `ProcessedReport` described below. Class description: Cost usage report transcribed to our database models. Effectively a struct for associated database tables. Method signatures and docstrings: - def __init__(self): Initialize new cost entry containers. - def remove_processed_rows(self): C...

2979f03fbdd1c20c3abc365a963a1282b426f321

<|skeleton|> class ProcessedReport: """Cost usage report transcribed to our database models. Effectively a struct for associated database tables.""" def __init__(self): """Initialize new cost entry containers.""" <|body_0|> def remove_processed_rows(self): """Clear a batch of rows ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ProcessedReport: """Cost usage report transcribed to our database models. Effectively a struct for associated database tables.""" def __init__(self): """Initialize new cost entry containers.""" self.bills = {} self.cost_entries = {} self.line_items = [] self.produc...

the_stack_v2_python_sparse

koku/masu/processor/aws/aws_report_processor.py

luisfdez/koku

train

0

ea97491740fdb756629ae14602b1db028a3c93fa

[ "leoTkinterDialog.__init__(self, title, resizeable)\nself.createTopFrame()\nself.top.bind('<Key>', self.onKey)\nif message:\n self.createMessageFrame(message)\nbuttons = ({'text': 'Yes', 'command': self.yesButton, 'default': True}, {'text': 'No', 'command': self.noButton})\nself.createButtons(buttons)", "ch = ...

<|body_start_0|> leoTkinterDialog.__init__(self, title, resizeable) self.createTopFrame() self.top.bind('<Key>', self.onKey) if message: self.createMessageFrame(message) buttons = ({'text': 'Yes', 'command': self.yesButton, 'default': True}, {'text': 'No', 'command': ...

A class that creates a Tkinter dialog with two buttons: Yes and No.

tkinterAskYesNo

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class tkinterAskYesNo: """A class that creates a Tkinter dialog with two buttons: Yes and No.""" def __init__(self, title, message=None, resizeable=False): """Create a dialog having yes and no buttons.""" <|body_0|> def onKey(self, event): """Handle keystroke events in...

stack_v2_sparse_classes_75kplus_train_009407

25,997

no_license

[ { "docstring": "Create a dialog having yes and no buttons.", "name": "__init__", "signature": "def __init__(self, title, message=None, resizeable=False)" }, { "docstring": "Handle keystroke events in dialogs having yes and no buttons.", "name": "onKey", "signature": "def onKey(self, even...

2

stack_v2_sparse_classes_30k_train_040082

Implement the Python class `tkinterAskYesNo` described below. Class description: A class that creates a Tkinter dialog with two buttons: Yes and No. Method signatures and docstrings: - def __init__(self, title, message=None, resizeable=False): Create a dialog having yes and no buttons. - def onKey(self, event): Handl...

28c22721e1bc313c120a8a6c288893bc566a5c67

<|skeleton|> class tkinterAskYesNo: """A class that creates a Tkinter dialog with two buttons: Yes and No.""" def __init__(self, title, message=None, resizeable=False): """Create a dialog having yes and no buttons.""" <|body_0|> def onKey(self, event): """Handle keystroke events in...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class tkinterAskYesNo: """A class that creates a Tkinter dialog with two buttons: Yes and No.""" def __init__(self, title, message=None, resizeable=False): """Create a dialog having yes and no buttons.""" leoTkinterDialog.__init__(self, title, resizeable) self.createTopFrame() s...

the_stack_v2_python_sparse

Projects/jyleo/src/leoTkinterDialog.py

leo-editor/leo-editor-contrib

train

6

7206e842d94c92cdf7ea889171d61692c53c469d

[ "from models import Proyecto, User, users\nproyecto = Proyecto.query.filter(Proyecto.nombre == proyectoNombre).first_or_404()\nusuario = User.query.filter(User.name == userName).first_or_404()\nproyecto.users.append(usuario)\ndb.session.commit()", "from models import Proyecto, User, users\nproyecto = Proyecto.que...

<|body_start_0|> from models import Proyecto, User, users proyecto = Proyecto.query.filter(Proyecto.nombre == proyectoNombre).first_or_404() usuario = User.query.filter(User.name == userName).first_or_404() proyecto.users.append(usuario) db.session.commit() <|end_body_0|> <|body...

MgrProyectoXUser

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009408

837

no_license

[ { "docstring": "asigna a un proyecto un usuario", "name": "guardar", "signature": "def guardar(self, proyectoNombre, userName)" }, { "docstring": "deasigna a un proyecto un usuario", "name": "borrar", "signature": "def borrar(self, proyectoNombre, userName)" } ]

2

stack_v2_sparse_classes_30k_train_045983

Implement the Python class `MgrProyectoXUser` described below. Class description: Implement the MgrProyectoXUser class. Method signatures and docstrings: - def guardar(self, proyectoNombre, userName): asigna a un proyecto un usuario - def borrar(self, proyectoNombre, userName): deasigna a un proyecto un usuario

Implement the Python class `MgrProyectoXUser` described below. Class description: Implement the MgrProyectoXUser class. Method signatures and docstrings: - def guardar(self, proyectoNombre, userName): asigna a un proyecto un usuario - def borrar(self, proyectoNombre, userName): deasigna a un proyecto un usuario <|sk...

da5330f318698f86af12c3c91cb3f1524540f4ca

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MgrProyectoXUser: def guardar(self, proyectoNombre, userName): """asigna a un proyecto un usuario""" from models import Proyecto, User, users proyecto = Proyecto.query.filter(Proyecto.nombre == proyectoNombre).first_or_404() usuario = User.query.filter(User.name == userName).fi...

the_stack_v2_python_sparse

src/mgrProyectoXUser.py

frvc123/proyecto-sicp

train

0

0f5b66ea01ab3465d24c9e5dad991f469ce9f6e6

[ "dict.__init__(self)\nself.setdefault('Name', None)\nself.setdefault('Size', None)\nself.setdefault('NumEvents', None)\nself.setdefault('NumFiles', None)\nself.update(args)", "block = Block()\nblock['Name'] = blockInfo[0]['name']\nblock['NumFiles'] = blockInfo[0]['num_files']\nblock['NumEvents'] = blockInfo[0]['n...

_Block_ A dictionary based object meant to represent subset of dbs block. Which will just need for workQueue update. It contains the following keys: Name Size NumEvent NumFiles

Block

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Block: """_Block_ A dictionary based object meant to represent subset of dbs block. Which will just need for workQueue update. It contains the following keys: Name Size NumEvent NumFiles""" def __init__(self, **args): """___init___ Initialize all attributes.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus_train_009409

1,071

permissive

[ { "docstring": "___init___ Initialize all attributes.", "name": "__init__", "signature": "def __init__(self, **args)" }, { "docstring": "convert to the Block structure from db column format", "name": "getBlock", "signature": "def getBlock(blockInfo)" } ]

2

stack_v2_sparse_classes_30k_train_050042

Implement the Python class `Block` described below. Class description: _Block_ A dictionary based object meant to represent subset of dbs block. Which will just need for workQueue update. It contains the following keys: Name Size NumEvent NumFiles Method signatures and docstrings: - def __init__(self, **args): ___ini...

de110ccf6fc63ef5589b4e871ef4d51d5bce7a25

<|skeleton|> class Block: """_Block_ A dictionary based object meant to represent subset of dbs block. Which will just need for workQueue update. It contains the following keys: Name Size NumEvent NumFiles""" def __init__(self, **args): """___init___ Initialize all attributes.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Block: """_Block_ A dictionary based object meant to represent subset of dbs block. Which will just need for workQueue update. It contains the following keys: Name Size NumEvent NumFiles""" def __init__(self, **args): """___init___ Initialize all attributes.""" dict.__init__(self) ...

the_stack_v2_python_sparse

src/python/WMCore/WorkQueue/DataStructs/Block.py

vkuznet/WMCore

train

0

43a9c9d8e3d3b9636750a9b1dcda7b57e388c428

[ "ar = np.array(ar)\nar0 = ar.reshape(1, -1)\nnf, p1 = ar0.shape\nif p == None:\n p = p1 - 1\nff = np.fft.rfft(ar0, n=2 * p + 2).T ** (-1)\nreturn ff", "N = len(x)\ne = np.zeros((N, p + 1))\nb = np.zeros((N, p + 1))\nalphal = np.zeros((p, p))\ne[:, 0] = x\nb[:, 0] = x\nk = np.zeros(p)\nk[0] = np.sum(e[p:p + L, ...

LPC

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class LPC: def lpcar2ff(ar, p=None): """Convert AR coefs to complex spectrum FF=(AR,P) :param ar: :param p: :return ff:""" <|body_0|> def latticem(x, L, p): """用几何平均格型法求出线性预测的系数 :param x: 一帧语音数据（长度大于等于L+p） :param L: 该帧数据中做格型法处理的长度 :param p: 线性预测的系数 :return E: 最小均方误差 :retu...

stack_v2_sparse_classes_75kplus_train_009410

2,100

permissive

[ { "docstring": "Convert AR coefs to complex spectrum FF=(AR,P) :param ar: :param p: :return ff:", "name": "lpcar2ff", "signature": "def lpcar2ff(ar, p=None)" }, { "docstring": "用几何平均格型法求出线性预测的系数 :param x: 一帧语音数据（长度大于等于L+p） :param L: 该帧数据中做格型法处理的长度 :param p: 线性预测的系数 :return E: 最小均方误差 :return G: ...

3

stack_v2_sparse_classes_30k_train_038373

Implement the Python class `LPC` described below. Class description: Implement the LPC class. Method signatures and docstrings: - def lpcar2ff(ar, p=None): Convert AR coefs to complex spectrum FF=(AR,P) :param ar: :param p: :return ff: - def latticem(x, L, p): 用几何平均格型法求出线性预测的系数 :param x: 一帧语音数据（长度大于等于L+p） :param L: ...

0074ad1d519387a75d5eca42c77f4d6966eb0a0e

<|skeleton|> class LPC: def lpcar2ff(ar, p=None): """Convert AR coefs to complex spectrum FF=(AR,P) :param ar: :param p: :return ff:""" <|body_0|> def latticem(x, L, p): """用几何平均格型法求出线性预测的系数 :param x: 一帧语音数据（长度大于等于L+p） :param L: 该帧数据中做格型法处理的长度 :param p: 线性预测的系数 :return E: 最小均方误差 :retu...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LPC: def lpcar2ff(ar, p=None): """Convert AR coefs to complex spectrum FF=(AR,P) :param ar: :param p: :return ff:""" ar = np.array(ar) ar0 = ar.reshape(1, -1) nf, p1 = ar0.shape if p == None: p = p1 - 1 ff = np.fft.rfft(ar0, n=2 * p + 2).T ** (-1) ...

the_stack_v2_python_sparse

Chapter4_LinearPrediction/LPC.py

BarryZM/Python_Speech_SZY

train

0

d3cc8310d97dc56435af170cca8267ac83559e93

[ "fy_obj = self.env['account.fiscalyear']\nperiod_obj = self.env['account.period']\nmove = super(AccountMove, self).create(vals)\nif move.date and move.company_id:\n fy = fy_obj.finds(dt=move.date, company_id=move.company_id.id)\n if not fy:\n raise UserError(_('Fiscal Year is not defined for journal en...

<|body_start_0|> fy_obj = self.env['account.fiscalyear'] period_obj = self.env['account.period'] move = super(AccountMove, self).create(vals) if move.date and move.company_id: fy = fy_obj.finds(dt=move.date, company_id=move.company_id.id) if not fy: ...

AccountMove

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class AccountMove: def create(self, vals): """This method overwrite to link fiscal year and period in account move based on date :param vals: dictionary of fields and it's values :return: new created recordset of account move""" <|body_0|> def write(self, vals): """This me...

stack_v2_sparse_classes_75kplus_train_009411

3,702

no_license

[ { "docstring": "This method overwrite to link fiscal year and period in account move based on date :param vals: dictionary of fields and it's values :return: new created recordset of account move", "name": "create", "signature": "def create(self, vals)" }, { "docstring": "This method overwrite t...

3

null

Implement the Python class `AccountMove` described below. Class description: Implement the AccountMove class. Method signatures and docstrings: - def create(self, vals): This method overwrite to link fiscal year and period in account move based on date :param vals: dictionary of fields and it's values :return: new cr...

c2706bd2904f5f5f60012c928ba9016ed7e9f547

<|skeleton|> class AccountMove: def create(self, vals): """This method overwrite to link fiscal year and period in account move based on date :param vals: dictionary of fields and it's values :return: new created recordset of account move""" <|body_0|> def write(self, vals): """This me...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class AccountMove: def create(self, vals): """This method overwrite to link fiscal year and period in account move based on date :param vals: dictionary of fields and it's values :return: new created recordset of account move""" fy_obj = self.env['account.fiscalyear'] period_obj = self.env['...

the_stack_v2_python_sparse

gts_account_fiscal_year/models/account_move.py

kumar7668/Odoo14_dev

train

1

c03e1e265230658d35fa998d78af0a144110c05c

[ "self.size = size\nself.sum = 0\nself.window = [0] * size\nself.index = 0\nself.currSize = 0", "self.window[self.index % self.size] = val\nself.index += 1\nself.sum += val\nself.sum -= self.window[self.index % self.size]\nself.currSize += 1 if self.currSize < self.size else self.currSize\nreturn float(self.sum) /...

MovingAverage

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009412

1,065

no_license

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

2

stack_v2_sparse_classes_30k_train_026328

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

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

608157956f13fccb663b3a3d888a585dbde78cde

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MovingAverage: def __init__(self, size): """Initialize your data structure here. :type size: int""" self.size = size self.sum = 0 self.window = [0] * size self.index = 0 self.currSize = 0 def next(self, val): """:type val: int :rtype: float""" ...

the_stack_v2_python_sparse

interview/bloomberg/moving average from data stream.py

totemw/algorithm

train

0

cebf97271ebba0dff0b53dfeb9dcd95ffb82d77f

[ "if '_method' in request.form and request.form['_method'] == 'put':\n if build_campaign(request, create=False):\n return (None, status.HTTP_200_OK)\nelif build_campaign(request, create=True):\n return (None, status.HTTP_200_OK)\nreturn (None, status.HTTP_500_INTERNAL_SERVER_ERROR)", "if build_campaig...

<|body_start_0|> if '_method' in request.form and request.form['_method'] == 'put': if build_campaign(request, create=False): return (None, status.HTTP_200_OK) elif build_campaign(request, create=True): return (None, status.HTTP_200_OK) return (None, statu...

Flask-RESTful resource endpoints for CampaignModel by ID.

ManageCampaigns

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009413

3,941

no_license

[ { "docstring": "Endpoint to post a campaign.", "name": "post", "signature": "def post(self)" }, { "docstring": "Endpoint to update a campaign.", "name": "put", "signature": "def put(self)" } ]

2

stack_v2_sparse_classes_30k_train_054752

Implement the Python class `ManageCampaigns` described below. Class description: Flask-RESTful resource endpoints for CampaignModel by ID. Method signatures and docstrings: - def post(self): Endpoint to post a campaign. - def put(self): Endpoint to update a campaign.

Implement the Python class `ManageCampaigns` described below. Class description: Flask-RESTful resource endpoints for CampaignModel by ID. Method signatures and docstrings: - def post(self): Endpoint to post a campaign. - def put(self): Endpoint to update a campaign. <|skeleton|> class ManageCampaigns: """Flask-...

d5ffcc5d276692d1578cea704125b1b3952beb1c

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ManageCampaigns: """Flask-RESTful resource endpoints for CampaignModel by ID.""" def post(self): """Endpoint to post a campaign.""" if '_method' in request.form and request.form['_method'] == 'put': if build_campaign(request, create=False): return (None, status...

the_stack_v2_python_sparse

application/resources/campaign.py

transreductionist/API-Project-1

train

0

45a7a36584c056c15650a48c18cc037e73ebb62f

[ "driver.find_element_by_css_selector('.start-webinar').click()\nwindows = driver.window_handles\ndriver.switch_to.window(windows[1])\nsleep(2)\ndriver.find_element_by_link_text('发起直播').click()\ndriver.switch_to.window(windows[1])\nelement = WebDriverWait(driver, 20, 1).until(EC.presence_of_element_located((By.CSS_S...

<|body_start_0|> driver.find_element_by_css_selector('.start-webinar').click() windows = driver.window_handles driver.switch_to.window(windows[1]) sleep(2) driver.find_element_by_link_text('发起直播').click() driver.switch_to.window(windows[1]) element = WebDriverWait...

Test_case_03_toolsAB

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009414

3,477

no_license

[ { "docstring": "开始直播", "name": "test_03_startVideo", "signature": "def test_03_startVideo(self)" }, { "docstring": "发起问卷", "name": "test_04_questionnaire", "signature": "def test_04_questionnaire(self)" }, { "docstring": "发起签到", "name": "test_05_signIn", "signature": "def...

6

stack_v2_sparse_classes_30k_train_027924

Implement the Python class `Test_case_03_toolsAB` described below. Class description: Implement the Test_case_03_toolsAB class. Method signatures and docstrings: - def test_03_startVideo(self): 开始直播 - def test_04_questionnaire(self): 发起问卷 - def test_05_signIn(self): 发起签到 - def test_06_QandA(self): 开启问答 - def test_07_...

a47c6afe7734037695e397052cf189510e816f9e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Test_case_03_toolsAB: def test_03_startVideo(self): """开始直播""" driver.find_element_by_css_selector('.start-webinar').click() windows = driver.window_handles driver.switch_to.window(windows[1]) sleep(2) driver.find_element_by_link_text('发起直播').click() dri...

the_stack_v2_python_sparse

Test_vhall/vhall_unittest/test_case/test_case_03_toolsAB.py

1065865483/python_script

train

0

92dd2eb502fe98fcf18c6a12fa85b0f2603ac61f

[ "assert nextxy.shape[0] == 2 and nextxy.ndim == 3, 'check nextxy dimensions'\nif not zero_based:\n nextxy = np.where(nextxy > 0, nextxy - 1, nextxy)\npit_value = np.array([-9, -9])[:, None, None]\nsuper(NextXY, self).__init__('nextxy', dd=None, raster=nextxy, transform=transform, pit_value=pit_value, fill_value=...

<|body_start_0|> assert nextxy.shape[0] == 2 and nextxy.ndim == 3, 'check nextxy dimensions' if not zero_based: nextxy = np.where(nextxy > 0, nextxy - 1, nextxy) pit_value = np.array([-9, -9])[:, None, None] super(NextXY, self).__init__('nextxy', dd=None, raster=nextxy, trans...

NextXY

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NextXY: def __init__(self, nextxy, transform, search_radius=1, fill_value=-9999, zero_based=False, **kwargs): """initialize drainage direction object based on nextxy definition""" <|body_0|> def _nb_downstream_idx(self, row, col): """neighborhood downstream index""" ...

stack_v2_sparse_classes_75kplus_train_009415

16,667

permissive

[ { "docstring": "initialize drainage direction object based on nextxy definition", "name": "__init__", "signature": "def __init__(self, nextxy, transform, search_radius=1, fill_value=-9999, zero_based=False, **kwargs)" }, { "docstring": "neighborhood downstream index", "name": "_nb_downstream...

4

stack_v2_sparse_classes_30k_train_036863

Implement the Python class `NextXY` described below. Class description: Implement the NextXY class. Method signatures and docstrings: - def __init__(self, nextxy, transform, search_radius=1, fill_value=-9999, zero_based=False, **kwargs): initialize drainage direction object based on nextxy definition - def _nb_downst...

f9d7960633be80e8e24d2f2563df367cc3f060c6

<|skeleton|> class NextXY: def __init__(self, nextxy, transform, search_radius=1, fill_value=-9999, zero_based=False, **kwargs): """initialize drainage direction object based on nextxy definition""" <|body_0|> def _nb_downstream_idx(self, row, col): """neighborhood downstream index""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NextXY: def __init__(self, nextxy, transform, search_radius=1, fill_value=-9999, zero_based=False, **kwargs): """initialize drainage direction object based on nextxy definition""" assert nextxy.shape[0] == 2 and nextxy.ndim == 3, 'check nextxy dimensions' if not zero_based: ...

the_stack_v2_python_sparse

src/1-prepare/cmftools/nb/dd_ops.py

Jiangchao3/compound_hotspots

train

0

b98ab0a1c89c4b644a3692a6edf449cf65cabe48

[ "self.logger = create_logger('methods.inprocessing.NeuralNetwork')\nself.optimizer_class = optimizer\nself.loss_class = loss\nkwargs['activation_type'] = import_object(activation)\nself.learning_rate = learning_rate\nself.weight_decay = weight_decay\nself.epochs = epochs\nself.batch_size = batch_size\nself.logger.d...

<|body_start_0|> self.logger = create_logger('methods.inprocessing.NeuralNetwork') self.optimizer_class = optimizer self.loss_class = loss kwargs['activation_type'] = import_object(activation) self.learning_rate = learning_rate self.weight_decay = weight_decay sel...

NeuralNetwork

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NeuralNetwork: def __init__(self, optimizer: str, loss: str, activation: str, learning_rate: float, weight_decay: float, epochs: int, batch_size: int, **kwargs): """Creates a neural network model. Parameters ---------- optimizer : str The optimizer to use. Must be a class from the torch....

stack_v2_sparse_classes_75kplus_train_009416

7,243

permissive

[ { "docstring": "Creates a neural network model. Parameters ---------- optimizer : str The optimizer to use. Must be a class from the torch.optim package. loss_class : str The loss function to use. Must be a class from the torch.nn package. activation_class : str The activation function to use. Must be a class f...

3

stack_v2_sparse_classes_30k_train_016167

Implement the Python class `NeuralNetwork` described below. Class description: Implement the NeuralNetwork class. Method signatures and docstrings: - def __init__(self, optimizer: str, loss: str, activation: str, learning_rate: float, weight_decay: float, epochs: int, batch_size: int, **kwargs): Creates a neural netw...

a0012dfcaef0b5d33452451dca955a99f7e7cccf

<|skeleton|> class NeuralNetwork: def __init__(self, optimizer: str, loss: str, activation: str, learning_rate: float, weight_decay: float, epochs: int, batch_size: int, **kwargs): """Creates a neural network model. Parameters ---------- optimizer : str The optimizer to use. Must be a class from the torch....

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NeuralNetwork: def __init__(self, optimizer: str, loss: str, activation: str, learning_rate: float, weight_decay: float, epochs: int, batch_size: int, **kwargs): """Creates a neural network model. Parameters ---------- optimizer : str The optimizer to use. Must be a class from the torch.optim package....

the_stack_v2_python_sparse

src/aequitas/fairflow/methods/inprocessing/neural_network.py

dssg/aequitas

train

575

86367a1d88a19de1f9555d5703d705fba9ca793d

[ "try:\n with transaction.atomic():\n self.create(user=user, group=group, project=group.project, is_active=True, reason=reason)\nexcept IntegrityError:\n pass", "from sentry.models import User, UserOption, UserOptionValue\nusers = User.objects.filter(sentry_orgmember_set__teams=group.project.team, is_...

GroupSubscriptionManager

[ "BSD-2-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GroupSubscriptionManager: def subscribe(self, group, user, reason=GroupSubscriptionReason.unknown): """Subscribe a user to an issue, but only if the user has not explicitly unsubscribed.""" <|body_0|> def get_participants(self, group): """Identify all users who are p...

stack_v2_sparse_classes_75kplus_train_009417

5,262

permissive

[ { "docstring": "Subscribe a user to an issue, but only if the user has not explicitly unsubscribed.", "name": "subscribe", "signature": "def subscribe(self, group, user, reason=GroupSubscriptionReason.unknown)" }, { "docstring": "Identify all users who are participating with a given issue.", ...

2

stack_v2_sparse_classes_30k_train_037583

Implement the Python class `GroupSubscriptionManager` described below. Class description: Implement the GroupSubscriptionManager class. Method signatures and docstrings: - def subscribe(self, group, user, reason=GroupSubscriptionReason.unknown): Subscribe a user to an issue, but only if the user has not explicitly un...

b937615079d7b24dc225a83b99b1b65da932fc66

<|skeleton|> class GroupSubscriptionManager: def subscribe(self, group, user, reason=GroupSubscriptionReason.unknown): """Subscribe a user to an issue, but only if the user has not explicitly unsubscribed.""" <|body_0|> def get_participants(self, group): """Identify all users who are p...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GroupSubscriptionManager: def subscribe(self, group, user, reason=GroupSubscriptionReason.unknown): """Subscribe a user to an issue, but only if the user has not explicitly unsubscribed.""" try: with transaction.atomic(): self.create(user=user, group=group, project=...

the_stack_v2_python_sparse

src/sentry/models/groupsubscription.py

atlassian/sentry

train

1

18800cfb1d3bad8b20423badddf20f23d0a63b25

[ "user_ids = self.search(cr, uid, [('login', '=', login)], context=context)\nif not user_ids:\n user_ids = self.search(cr, uid, [('email', '=', login)], context=context)\nif len(user_ids) != 1:\n raise Exception('Reset password: invalid username or email')\nreturn self.action_reset_password(cr, uid, user_ids, ...

<|body_start_0|> user_ids = self.search(cr, uid, [('login', '=', login)], context=context) if not user_ids: user_ids = self.search(cr, uid, [('email', '=', login)], context=context) if len(user_ids) != 1: raise Exception('Reset password: invalid username or email') ...

res_users

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class res_users: def reset_password(self, cr, uid, login, context=None): """retrieve the user corresponding to login (login or email), and reset their password""" <|body_0|> def action_reset_password(self, cr, uid, ids, context=None): """create signup token for each user, ...

stack_v2_sparse_classes_75kplus_train_009418

2,688

no_license

[ { "docstring": "retrieve the user corresponding to login (login or email), and reset their password", "name": "reset_password", "signature": "def reset_password(self, cr, uid, login, context=None)" }, { "docstring": "create signup token for each user, and send their signup url by email", "na...

2

stack_v2_sparse_classes_30k_train_037570

Implement the Python class `res_users` described below. Class description: Implement the res_users class. Method signatures and docstrings: - def reset_password(self, cr, uid, login, context=None): retrieve the user corresponding to login (login or email), and reset their password - def action_reset_password(self, cr...

911cc2b7cb845f3fb6c891e03b99a4020069d380

<|skeleton|> class res_users: def reset_password(self, cr, uid, login, context=None): """retrieve the user corresponding to login (login or email), and reset their password""" <|body_0|> def action_reset_password(self, cr, uid, ids, context=None): """create signup token for each user, ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class res_users: def reset_password(self, cr, uid, login, context=None): """retrieve the user corresponding to login (login or email), and reset their password""" user_ids = self.search(cr, uid, [('login', '=', login)], context=context) if not user_ids: user_ids = self.search(cr,...

the_stack_v2_python_sparse

auth_reset_password/res_users.py

ShantiSR/openerp-addons

train

0

957af9a64f24200768e1c28b5340ce3a1a8eaee9

[ "server = get_object_or_404(models.FederatedServer, id=server)\nusers = server.user_set\ndata = {'server': server, 'users': users, 'reports': models.Report.objects.filter(user__in=users.all()), 'followed_by_us': users.filter(followers__local=True), 'followed_by_them': users.filter(following__local=True), 'blocked_b...

<|body_start_0|> server = get_object_or_404(models.FederatedServer, id=server) users = server.user_set data = {'server': server, 'users': users, 'reports': models.Report.objects.filter(user__in=users.all()), 'followed_by_us': users.filter(followers__local=True), 'followed_by_them': users.filter(...

views for handling a specific federated server

FederatedServer

[ "LicenseRef-scancode-warranty-disclaimer" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009419

6,777

no_license

[ { "docstring": "load a server", "name": "get", "signature": "def get(self, request, server)" }, { "docstring": "update note", "name": "post", "signature": "def post(self, request, server)" } ]

2

stack_v2_sparse_classes_30k_train_053947

Implement the Python class `FederatedServer` described below. Class description: views for handling a specific federated server Method signatures and docstrings: - def get(self, request, server): load a server - def post(self, request, server): update note

Implement the Python class `FederatedServer` described below. Class description: views for handling a specific federated server Method signatures and docstrings: - def get(self, request, server): load a server - def post(self, request, server): update note <|skeleton|> class FederatedServer: """views for handlin...

0f8da5b738047f3c34d60d93f59bdedd8f797224

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FederatedServer: """views for handling a specific federated server""" def get(self, request, server): """load a server""" server = get_object_or_404(models.FederatedServer, id=server) users = server.user_set data = {'server': server, 'users': users, 'reports': models.Repor...

the_stack_v2_python_sparse

bookwyrm/views/admin/federation.py

bookwyrm-social/bookwyrm

train

1,398

fd3c13af74c6049fadb2d306176cd60729b1f076

[ "_session = db.create_scoped_session()\ntry:\n _protein_ac_per_protein_id = {}\n for protein in _session.query(Protein).filter(Protein.id.in_(_protein_ids)).all():\n _protein_ac_per_protein_id[protein.id] = protein.uniprot_ac\n return _protein_ac_per_protein_id\nexcept (AlchemyResourceClosedError, A...

<|body_start_0|> _session = db.create_scoped_session() try: _protein_ac_per_protein_id = {} for protein in _session.query(Protein).filter(Protein.id.in_(_protein_ids)).all(): _protein_ac_per_protein_id[protein.id] = protein.uniprot_ac return _protein_a...

ProteinRepository

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProteinRepository: def retrieve_protein_ac_for_multiple_protein_ids(_protein_ids): """Retrieves all uniprot accession codes for multiple Protein objects as {protein_id: uniprot_ac}""" <|body_0|> def retrieve_protein_id_for_multiple_protein_acs(_protein_acs): """Retri...

stack_v2_sparse_classes_75kplus_train_009420

17,106

permissive

[ { "docstring": "Retrieves all uniprot accession codes for multiple Protein objects as {protein_id: uniprot_ac}", "name": "retrieve_protein_ac_for_multiple_protein_ids", "signature": "def retrieve_protein_ac_for_multiple_protein_ids(_protein_ids)" }, { "docstring": "Retrieves all protein ids for ...

3

null

Implement the Python class `ProteinRepository` described below. Class description: Implement the ProteinRepository class. Method signatures and docstrings: - def retrieve_protein_ac_for_multiple_protein_ids(_protein_ids): Retrieves all uniprot accession codes for multiple Protein objects as {protein_id: uniprot_ac} -...

2b4448b33cbc5512b56f5aaa7453d0a255ee1628

<|skeleton|> class ProteinRepository: def retrieve_protein_ac_for_multiple_protein_ids(_protein_ids): """Retrieves all uniprot accession codes for multiple Protein objects as {protein_id: uniprot_ac}""" <|body_0|> def retrieve_protein_id_for_multiple_protein_acs(_protein_acs): """Retri...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ProteinRepository: def retrieve_protein_ac_for_multiple_protein_ids(_protein_ids): """Retrieves all uniprot accession codes for multiple Protein objects as {protein_id: uniprot_ac}""" _session = db.create_scoped_session() try: _protein_ac_per_protein_id = {} for...

the_stack_v2_python_sparse

metadome/domain/repositories.py

kchennen/metadome

train

0

46f324c5e26717807963c5ebe1bd34e28eacbc0e

[ "language = Language.objects.all()\nserializer = LanguageSerializer(language, many=True)\nreturn Response(serializer.data)", "queryset = Language.objects.all()\nlanguage = get_object_or_404(queryset, pk=pk)\nserializer = LanguageSerializer(language)\nreturn Response(serializer.data)" ]

LanguageView

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009421

12,404

no_license

[ { "docstring": "Получение списка языков", "name": "list", "signature": "def list(self, request)" }, { "docstring": "Получение языка по идентификатору pk - идентификатор языка", "name": "retrieve", "signature": "def retrieve(self, request, pk=None)" } ]

2

stack_v2_sparse_classes_30k_train_004233

Implement the Python class `LanguageView` described below. Class description: Implement the LanguageView class. Method signatures and docstrings: - def list(self, request): Получение списка языков - def retrieve(self, request, pk=None): Получение языка по идентификатору pk - идентификатор языка

Implement the Python class `LanguageView` described below. Class description: Implement the LanguageView class. Method signatures and docstrings: - def list(self, request): Получение списка языков - def retrieve(self, request, pk=None): Получение языка по идентификатору pk - идентификатор языка <|skeleton|> class La...

be47a0a6f50bf8680b22e0b9cae3e3b34a198a3d

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LanguageView: def list(self, request): """Получение списка языков""" language = Language.objects.all() serializer = LanguageSerializer(language, many=True) return Response(serializer.data) def retrieve(self, request, pk=None): """Получение языка по идентификатору p...

the_stack_v2_python_sparse

StarfinderBack/starfinder/views.py

Skirgus/StarfinderMasterAssistant

train

0

b720374348ac19f61edd1ad1c01900c3d1595e30

[ "preO = [0]\npreE = [0]\nfor i, v in enumerate(nums):\n if i % 2 == 0:\n preO.append(preO[-1] + v)\n preE.append(preE[-1])\n else:\n preE.append(preE[-1] + v)\n preO.append(preO[-1])\nans = 0\nfor i in range(1, len(nums) + 1):\n sumO = preO[i - 1] - preO[0] + preE[-1] - preE[i]\...

<|body_start_0|> preO = [0] preE = [0] for i, v in enumerate(nums): if i % 2 == 0: preO.append(preO[-1] + v) preE.append(preE[-1]) else: preE.append(preE[-1] + v) preO.append(preO[-1]) ans = 0 ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009422

3,000

no_license

[ { "docstring": ":type nums: List[int] :rtype: int", "name": "waysToMakeFair", "signature": "def waysToMakeFair(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: int", "name": "waysToMakeFairO1Space", "signature": "def waysToMakeFairO1Space(self, nums)" } ]

2

stack_v2_sparse_classes_30k_train_024067

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def waysToMakeFair(self, nums): :type nums: List[int] :rtype: int - def waysToMakeFairO1Space(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 waysToMakeFair(self, nums): :type nums: List[int] :rtype: int - def waysToMakeFairO1Space(self, nums): :type nums: List[int] :rtype: int <|skeleton|> class Solution: de...

810575368ecffa97677bdb51744d1f716140bbb1

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def waysToMakeFair(self, nums): """:type nums: List[int] :rtype: int""" preO = [0] preE = [0] for i, v in enumerate(nums): if i % 2 == 0: preO.append(preO[-1] + v) preE.append(preE[-1]) else: preE...

the_stack_v2_python_sparse

W/WaystoMakeaFairArray.py

bssrdf/pyleet

train

2

07574c495be2a9acf06160ee7bd0cc81992cd2ae

[ "if len(nums) == 0:\n return 0\nmax_length = 0\ncur = 1\nfor i in range(len(nums) - 1):\n if nums[i] < nums[i + 1]:\n cur += 1\n else:\n max_length = cur if cur > max_length else max_length\n cur = 1\nreturn max_length if cur < max_length else cur", "if len(nums) == 0:\n return 0\...

<|body_start_0|> if len(nums) == 0: return 0 max_length = 0 cur = 1 for i in range(len(nums) - 1): if nums[i] < nums[i + 1]: cur += 1 else: max_length = cur if cur > max_length else max_length cur = 1 ...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009423

1,034

no_license

[ { "docstring": ":type nums: List[int] :rtype: int", "name": "findLengthOfLCIS1", "signature": "def findLengthOfLCIS1(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: int", "name": "findLengthOfLCIS", "signature": "def findLengthOfLCIS(self, nums)" } ]

2

stack_v2_sparse_classes_30k_train_002568

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findLengthOfLCIS1(self, nums): :type nums: List[int] :rtype: int - def findLengthOfLCIS(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 findLengthOfLCIS1(self, nums): :type nums: List[int] :rtype: int - def findLengthOfLCIS(self, nums): :type nums: List[int] :rtype: int <|skeleton|> class Solution: def ...

70bdd75b6af2e1811c1beab22050c01d28d7373e

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def findLengthOfLCIS1(self, nums): """:type nums: List[int] :rtype: int""" if len(nums) == 0: return 0 max_length = 0 cur = 1 for i in range(len(nums) - 1): if nums[i] < nums[i + 1]: cur += 1 else: ...

the_stack_v2_python_sparse

python/leetcode_bak/674_Longest_Continuous_Increasing_Subsequence.py

bobcaoge/my-code

train

0

d34e6ecb064dc94b1360a5b72692cd45c23a993d

[ "self.ad_object_meta_data = ad_object_meta_data\nself.document_type = document_type\nself.email_meta_data = email_meta_data\nself.file_versions = file_versions\nself.filename = filename\nself.is_folder = is_folder\nself.job_id = job_id\nself.job_uid = job_uid\nself.one_drive_document_metadata = one_drive_document_m...

<|body_start_0|> self.ad_object_meta_data = ad_object_meta_data self.document_type = document_type self.email_meta_data = email_meta_data self.file_versions = file_versions self.filename = filename self.is_folder = is_folder self.job_id = job_id self.job_u...

Implementation of the 'FileSearchResult' model. Specifies details about the found file or folder. Attributes: ad_object_meta_data (AdObjectMetaData): Specifies the metadata about the AD objects. document_type (string): Specifies the inferred document type. email_meta_data (EmailMetaData): Specifies the metadata about t...

FileSearchResult

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FileSearchResult: """Implementation of the 'FileSearchResult' model. Specifies details about the found file or folder. Attributes: ad_object_meta_data (AdObjectMetaData): Specifies the metadata about the AD objects. document_type (string): Specifies the inferred document type. email_meta_data (Em...

stack_v2_sparse_classes_75kplus_train_009424

8,984

permissive

[ { "docstring": "Constructor for the FileSearchResult class", "name": "__init__", "signature": "def __init__(self, ad_object_meta_data=None, document_type=None, email_meta_data=None, file_versions=None, filename=None, is_folder=None, job_id=None, job_uid=None, one_drive_document_metadata=None, protection...

2

stack_v2_sparse_classes_30k_train_051074

Implement the Python class `FileSearchResult` described below. Class description: Implementation of the 'FileSearchResult' model. Specifies details about the found file or folder. Attributes: ad_object_meta_data (AdObjectMetaData): Specifies the metadata about the AD objects. document_type (string): Specifies the infe...

e4973dfeb836266904d0369ea845513c7acf261e

<|skeleton|> class FileSearchResult: """Implementation of the 'FileSearchResult' model. Specifies details about the found file or folder. Attributes: ad_object_meta_data (AdObjectMetaData): Specifies the metadata about the AD objects. document_type (string): Specifies the inferred document type. email_meta_data (Em...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FileSearchResult: """Implementation of the 'FileSearchResult' model. Specifies details about the found file or folder. Attributes: ad_object_meta_data (AdObjectMetaData): Specifies the metadata about the AD objects. document_type (string): Specifies the inferred document type. email_meta_data (EmailMetaData):...

the_stack_v2_python_sparse

cohesity_management_sdk/models/file_search_result.py

cohesity/management-sdk-python

train

24

3e884902d02680956d1a3827861b928fda0a4081

[ "self.game_active = False\nself.settings = settings\nself.high_score = 0\nself.reset_stats()", "self.shiplift = self.settings.ship_limit\nself.score = 0\nself.level = 1" ]

跟踪游戏的统计信息

GameStats

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009425

700

no_license

[ { "docstring": "初始化统计信息", "name": "__init__", "signature": "def __init__(self, settings)" }, { "docstring": "初始化在游戏运行期间可能变化的统计信息", "name": "reset_stats", "signature": "def reset_stats(self)" } ]

2

stack_v2_sparse_classes_30k_train_053453

Implement the Python class `GameStats` described below. Class description: 跟踪游戏的统计信息 Method signatures and docstrings: - def __init__(self, settings): 初始化统计信息 - def reset_stats(self): 初始化在游戏运行期间可能变化的统计信息

Implement the Python class `GameStats` described below. Class description: 跟踪游戏的统计信息 Method signatures and docstrings: - def __init__(self, settings): 初始化统计信息 - def reset_stats(self): 初始化在游戏运行期间可能变化的统计信息 <|skeleton|> class GameStats: """跟踪游戏的统计信息""" def __init__(self, settings): """初始化统计信息""" ...

88dde4802823d68978ce633e443dd632a6ffd29d

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GameStats: """跟踪游戏的统计信息""" def __init__(self, settings): """初始化统计信息""" self.game_active = False self.settings = settings self.high_score = 0 self.reset_stats() def reset_stats(self): """初始化在游戏运行期间可能变化的统计信息""" self.shiplift = self.settings.ship_...

the_stack_v2_python_sparse

alien_invasion/geme_stats.py

zhangbin0git/demo

train

0

a336ef000ab596e522c1b2ebb922b1fc3207b773

[ "super().__init__(source_image_path, source_image_size, output_image_path, output_image_size)\nself.__levels = len(neighbourhood_padding)\nself.__neighbourhood_padding = neighbourhood_padding\nself.__tsvq_branching_factor = tsvq_branching_factor\nassert self.__levels > 0, 'At least one neighbourhood padding size mu...

<|body_start_0|> super().__init__(source_image_path, source_image_size, output_image_path, output_image_size) self.__levels = len(neighbourhood_padding) self.__neighbourhood_padding = neighbourhood_padding self.__tsvq_branching_factor = tsvq_branching_factor assert self.__levels ...

A RasterPixelNeighbourhoodSynthesizer object synthesizes textures using the algorithm from https://graphics.stanford.edu/papers/texture-synthesis-sig00/texture.pdf. The basic idea is to seed the output Image with noise from the source Image and then resolve the pixels one-by-one in scanline order by finding the best ne...

RasterPixelNeighbourhoodSynthesizer

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class RasterPixelNeighbourhoodSynthesizer: """A RasterPixelNeighbourhoodSynthesizer object synthesizes textures using the algorithm from https://graphics.stanford.edu/papers/texture-synthesis-sig00/texture.pdf. The basic idea is to seed the output Image with noise from the source Image and then resolve...

stack_v2_sparse_classes_75kplus_train_009426

6,847

permissive

[ { "docstring": "Constructs a new RasterPixelNeighbourhoodSynthesizer object with the given TextureSynthesizer parameters and neighbourhood padding. Args: source_image_path: See TextureSynthesizer.__init__(). source_image_size: See TextureSynthesizer.__init__(). output_image_path: See TextureSynthesizer.__init__...

5

stack_v2_sparse_classes_30k_train_028970

Implement the Python class `RasterPixelNeighbourhoodSynthesizer` described below. Class description: A RasterPixelNeighbourhoodSynthesizer object synthesizes textures using the algorithm from https://graphics.stanford.edu/papers/texture-synthesis-sig00/texture.pdf. The basic idea is to seed the output Image with noise...

7e7282698befd53383cbd6566039340babb0a289

<|skeleton|> class RasterPixelNeighbourhoodSynthesizer: """A RasterPixelNeighbourhoodSynthesizer object synthesizes textures using the algorithm from https://graphics.stanford.edu/papers/texture-synthesis-sig00/texture.pdf. The basic idea is to seed the output Image with noise from the source Image and then resolve...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RasterPixelNeighbourhoodSynthesizer: """A RasterPixelNeighbourhoodSynthesizer object synthesizes textures using the algorithm from https://graphics.stanford.edu/papers/texture-synthesis-sig00/texture.pdf. The basic idea is to seed the output Image with noise from the source Image and then resolve the pixels o...

the_stack_v2_python_sparse

sandbox/synthesizers/raster_pixel_neighbourhood_synthesizer.py

Mandrenkov/SVBRDF-Texture-Synthesis

train

3

ad87955238cb00805102d6d8592dc064e1bfbd6c

[ "media_sources = [NewsMediaOrg(news_org=ALJAZEERA, media_types=MEDIA_TYPE_VIDEOS)]\nfor videos_ingestor in media_sources:\n for video in videos_ingestor.parse_videos():\n yield video", "while True:\n try:\n logging.info('Getting Videos')\n for video in self.get_news_videos():\n ...

Video class

VideosCrawler

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009427

1,219

permissive

[ { "docstring": "get news videos :return:", "name": "get_news_videos", "signature": "def get_news_videos(self)" }, { "docstring": "run the thread :return:", "name": "run", "signature": "def run(self)" } ]

2

null

Implement the Python class `VideosCrawler` described below. Class description: Video class Method signatures and docstrings: - def get_news_videos(self): get news videos :return: - def run(self): run the thread :return:

Implement the Python class `VideosCrawler` described below. Class description: Video class Method signatures and docstrings: - def get_news_videos(self): get news videos :return: - def run(self): run the thread :return: <|skeleton|> class VideosCrawler: """Video class""" def get_news_videos(self): "...

2b1d8050e701f574890d3484d49954ee6e22df52

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class VideosCrawler: """Video class""" def get_news_videos(self): """get news videos :return:""" media_sources = [NewsMediaOrg(news_org=ALJAZEERA, media_types=MEDIA_TYPE_VIDEOS)] for videos_ingestor in media_sources: for video in videos_ingestor.parse_videos(): ...

the_stack_v2_python_sparse

wren/data_ingestion/videos_crawler.py

vishnugithub1989/wren

train

0

813ea1128b348cceea4fa60edd62d0a745888fe5

[ "self.username = username\nself.password = password\nself.spamList = spamList\nself.serverAddress = self.getServerAddress(domainName.lower())\nself.totalMsg = None", "domainAddresses = {'gmail': 'imap.gmail.com', 'hotmail': 'imap-mail.outlook.com'}\nif domainAddresses.get(domainName) is None:\n raise ValueErro...

<|body_start_0|> self.username = username self.password = password self.spamList = spamList self.serverAddress = self.getServerAddress(domainName.lower()) self.totalMsg = None <|end_body_0|> <|body_start_1|> domainAddresses = {'gmail': 'imap.gmail.com', 'hotmail': 'imap-...

EmailAccount

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EmailAccount: def __init__(self, username, password, domainName, spamList=None): """username = email address password = email password domainName = email type, e.g.: gmail, hotmail""" <|body_0|> def getServerAddress(domainName): """Return server address.""" <...

stack_v2_sparse_classes_75kplus_train_009428

5,003

no_license

[ { "docstring": "username = email address password = email password domainName = email type, e.g.: gmail, hotmail", "name": "__init__", "signature": "def __init__(self, username, password, domainName, spamList=None)" }, { "docstring": "Return server address.", "name": "getServerAddress", ...

2

stack_v2_sparse_classes_30k_train_049426

Implement the Python class `EmailAccount` described below. Class description: Implement the EmailAccount class. Method signatures and docstrings: - def __init__(self, username, password, domainName, spamList=None): username = email address password = email password domainName = email type, e.g.: gmail, hotmail - def ...

6d99062529abac3801d8a9a55c4e68d30ccec163

<|skeleton|> class EmailAccount: def __init__(self, username, password, domainName, spamList=None): """username = email address password = email password domainName = email type, e.g.: gmail, hotmail""" <|body_0|> def getServerAddress(domainName): """Return server address.""" <...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class EmailAccount: def __init__(self, username, password, domainName, spamList=None): """username = email address password = email password domainName = email type, e.g.: gmail, hotmail""" self.username = username self.password = password self.spamList = spamList self.server...

the_stack_v2_python_sparse

emailLib.py

reshinto/useless_apps

train

0

371a21d7261f195731ee4bf31584640c8cb7cb40

[ "super(Decoder, self).__init__()\nself.embedding = nn.Embedding(num_p, emb_dim)\nself.lstm = nn.LSTMCell(emb_dim, hidden_dim)\nself.attn = Attention(hidden_dim)\nself.linear = nn.Linear(hidden_dim, num_p)", "out = []\ne_seq = self.embedding(p_seq)\nfor emb in e_seq.chunk(e_seq.shape[1], 1):\n emb = emb.squeeze...

PyTorch decoder LSTM module with attention

Decoder

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Decoder: """PyTorch decoder LSTM module with attention""" def __init__(self, num_p: int, emb_dim: int, hidden_dim: int): """Input arguments: * num_p (int): The size of the phoneme vocabulary * emb_dim (int): The dimensionality of the character embeddings used * hidden_dim (int): The ...

stack_v2_sparse_classes_75kplus_train_009429

11,886

permissive

[ { "docstring": "Input arguments: * num_p (int): The size of the phoneme vocabulary * emb_dim (int): The dimensionality of the character embeddings used * hidden_dim (int): The hidden dimensionality of the decoder RNN", "name": "__init__", "signature": "def __init__(self, num_p: int, emb_dim: int, hidden...

2

stack_v2_sparse_classes_30k_train_013919

Implement the Python class `Decoder` described below. Class description: PyTorch decoder LSTM module with attention Method signatures and docstrings: - def __init__(self, num_p: int, emb_dim: int, hidden_dim: int): Input arguments: * num_p (int): The size of the phoneme vocabulary * emb_dim (int): The dimensionality ...

61ab2683fdc31e10d31ebdfb856efb92a145b37a

<|skeleton|> class Decoder: """PyTorch decoder LSTM module with attention""" def __init__(self, num_p: int, emb_dim: int, hidden_dim: int): """Input arguments: * num_p (int): The size of the phoneme vocabulary * emb_dim (int): The dimensionality of the character embeddings used * hidden_dim (int): The ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Decoder: """PyTorch decoder LSTM module with attention""" def __init__(self, num_p: int, emb_dim: int, hidden_dim: int): """Input arguments: * num_p (int): The size of the phoneme vocabulary * emb_dim (int): The dimensionality of the character embeddings used * hidden_dim (int): The hidden dimens...

the_stack_v2_python_sparse

torchG2P/g2p.py

StefanGunnlaugur/tts_data

train

0

34c3b2e251a594a8081fc61e90360aff9c14c6dd

[ "if value:\n if GoogleDriveSource.parse_address(value):\n return value\n else:\n raise exceptions.ValidationError('Invalid Google Drive URL.')", "if value:\n if re.match('^([a-z\\\\d])([a-z\\\\d_\\\\-]{10,})$', value, re.I):\n return value\n else:\n raise exceptions.Validat...

<|body_start_0|> if value: if GoogleDriveSource.parse_address(value): return value else: raise exceptions.ValidationError('Invalid Google Drive URL.') <|end_body_0|> <|body_start_1|> if value: if re.match('^([a-z\\d])([a-z\\d_\\-]{10,}...

Serializer for Google Drive sources.

GoogleDriveSourceSerializer

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009430

40,006

permissive

[ { "docstring": "Validate the Google Drive URL.", "name": "validate_url", "signature": "def validate_url(self, value)" }, { "docstring": "Validate the Google Drive id.", "name": "validate_google_id", "signature": "def validate_google_id(self, value)" }, { "docstring": "Ensure that...

3

stack_v2_sparse_classes_30k_train_038486

Implement the Python class `GoogleDriveSourceSerializer` described below. Class description: Serializer for Google Drive sources. Method signatures and docstrings: - def validate_url(self, value): Validate the Google Drive URL. - def validate_google_id(self, value): Validate the Google Drive id. - def validate(self, ...

b0edf060f4cc5494eef81fce62a563bd5b4e8e31

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GoogleDriveSourceSerializer: """Serializer for Google Drive sources.""" def validate_url(self, value): """Validate the Google Drive URL.""" if value: if GoogleDriveSource.parse_address(value): return value else: raise exceptions.Vali...

the_stack_v2_python_sparse

manager/projects/api/serializers.py

stencila/hub

train

31

67f3c55d95928ad0b76e110373baaacfaab2a022

[ "token = request.GET.get('token', None)\nself.error = None\nself.user = None\npayload = None\nif token:\n try:\n payload = jwt.decode(token, settings.SECRET_KEY, algorithms=['HS256'])\n except jwt.ExpiredSignatureError:\n self.error = 'Verification link has expired.'\n except jwt.PyJWTError:\...

<|body_start_0|> token = request.GET.get('token', None) self.error = None self.user = None payload = None if token: try: payload = jwt.decode(token, settings.SECRET_KEY, algorithms=['HS256']) except jwt.ExpiredSignatureError: ...

Change password.

ChangePasswordView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009431

5,474

permissive

[ { "docstring": "Validate token.", "name": "dispatch", "signature": "def dispatch(self, request, *args, **kwargs)" }, { "docstring": "Set user in form context.", "name": "get_form_kwargs", "signature": "def get_form_kwargs(self)" }, { "docstring": "Pass possible error to template....

4

stack_v2_sparse_classes_30k_val_002600

Implement the Python class `ChangePasswordView` described below. Class description: Change password. Method signatures and docstrings: - def dispatch(self, request, *args, **kwargs): Validate token. - def get_form_kwargs(self): Set user in form context. - def get_context_data(self, **kwargs): Pass possible error to t...

2c39ba45aa6aef37820b385c3060c83a73f8f910

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ChangePasswordView: """Change password.""" def dispatch(self, request, *args, **kwargs): """Validate token.""" token = request.GET.get('token', None) self.error = None self.user = None payload = None if token: try: payload = jwt....

the_stack_v2_python_sparse

weight/users/views/users.py

SeptumDevs/lose_weightapp

train

1

dbc816bc5a0c19aaef690677a17ed457c8698675

[ "super(InstructionsDensification, self).__init__(config)\nself._max_reward_per_cone = config['max_reward_per_cone']\nself._cone_radius_meters = config['cone_radius_meters']\nself._min_distance_reached = float('inf')\nself._distance_to_next_waypoint = float('inf')\nassert config['proportion_of_panos_with_coins'] == ...

<|body_start_0|> super(InstructionsDensification, self).__init__(config) self._max_reward_per_cone = config['max_reward_per_cone'] self._cone_radius_meters = config['cone_radius_meters'] self._min_distance_reached = float('inf') self._distance_to_next_waypoint = float('inf') ...

StreetLang game with a cone around each waypoint reward.

InstructionsDensification

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class InstructionsDensification: """StreetLang game with a cone around each waypoint reward.""" def __init__(self, config): """Creates an instance of the StreetLang level. Args: config: config dict of various settings.""" <|body_0|> def on_reset(self, streetlearn): """...

stack_v2_sparse_classes_75kplus_train_009432

3,598

permissive

[ { "docstring": "Creates an instance of the StreetLang level. Args: config: config dict of various settings.", "name": "__init__", "signature": "def __init__(self, config)" }, { "docstring": "Gets called after StreetLearn:reset(). Args: streetlearn: a streetlearn instance. Returns: A newly popula...

3

stack_v2_sparse_classes_30k_train_000414

Implement the Python class `InstructionsDensification` described below. Class description: StreetLang game with a cone around each waypoint reward. Method signatures and docstrings: - def __init__(self, config): Creates an instance of the StreetLang level. Args: config: config dict of various settings. - def on_reset...

dd348cb811064582a77abe855b9ac15799e4a1ef

<|skeleton|> class InstructionsDensification: """StreetLang game with a cone around each waypoint reward.""" def __init__(self, config): """Creates an instance of the StreetLang level. Args: config: config dict of various settings.""" <|body_0|> def on_reset(self, streetlearn): """...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class InstructionsDensification: """StreetLang game with a cone around each waypoint reward.""" def __init__(self, config): """Creates an instance of the StreetLang level. Args: config: config dict of various settings.""" super(InstructionsDensification, self).__init__(config) self._max...

the_stack_v2_python_sparse

streetlearn/python/environment/instructions_densification.py

turningpoint1988/streetlearn

train

0

a73de47b65448323d0a45d8b512bcd1f869e8882

[ "user = request.user\ntry:\n video_client = user.video_client\n if timezone.now() > video_client.expires_at:\n video_client.delete()\n raise ValueError()\nexcept (AttributeError, ValueError):\n try:\n video_client = create_video_client(user)\n except (ValidationError, IntegrityError...

<|body_start_0|> user = request.user try: video_client = user.video_client if timezone.now() > video_client.expires_at: video_client.delete() raise ValueError() except (AttributeError, ValueError): try: video_cli...

Shoutit Twilio API Resources.

ShoutitTwilioViewSet

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ShoutitTwilioViewSet: """Shoutit Twilio API Resources.""" def video_auth(self, request): """Create a video chat endpoint. ###REQUIRES AUTH ###Response <pre><code> { "token": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCIsICJjdHkiOiAidHdpbGlvLWZwYTt2PTEifQ.eyJpc3MiOiAiU0s3MDFlYzE", "identit...

stack_v2_sparse_classes_75kplus_train_009433

7,701

no_license

[ { "docstring": "Create a video chat endpoint. ###REQUIRES AUTH ###Response <pre><code> { \"token\": \"eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCIsICJjdHkiOiAidHdpbGlvLWZwYTt2PTEifQ.eyJpc3MiOiAiU0s3MDFlYzE\", \"identity\": \"7c6ca4737db3447f936037374473e61f\" } </code></pre> ---", "name": "video_auth", "sign...

4

stack_v2_sparse_classes_30k_train_035704

Implement the Python class `ShoutitTwilioViewSet` described below. Class description: Shoutit Twilio API Resources. Method signatures and docstrings: - def video_auth(self, request): Create a video chat endpoint. ###REQUIRES AUTH ###Response <pre><code> { "token": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCIsICJjdHkiOiAi...

f3c95585ac639b45c28521712ed33a178ab36ea4

<|skeleton|> class ShoutitTwilioViewSet: """Shoutit Twilio API Resources.""" def video_auth(self, request): """Create a video chat endpoint. ###REQUIRES AUTH ###Response <pre><code> { "token": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCIsICJjdHkiOiAidHdpbGlvLWZwYTt2PTEifQ.eyJpc3MiOiAiU0s3MDFlYzE", "identit...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ShoutitTwilioViewSet: """Shoutit Twilio API Resources.""" def video_auth(self, request): """Create a video chat endpoint. ###REQUIRES AUTH ###Response <pre><code> { "token": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCIsICJjdHkiOiAidHdpbGlvLWZwYTt2PTEifQ.eyJpc3MiOiAiU0s3MDFlYzE", "identity": "7c6ca473...

the_stack_v2_python_sparse

src/shoutit_twilio/views.py

shoutit/shoutit-api

train

0

a0077cf72e6d5a749cc96501d89d5b388bf594cf

[ "assert batch_size == env.nenvs, 'batch_size should equal number of envs in vec_env'\nself.scheme = scheme\nself.env = env\nself.mac = mac\nself.logger = logger\nself.batch_size = batch_size\nself.max_episode_len = max_episode_len\nself.device = device\nself.t_env = t_env\nself.is_training = is_training\nself.share...

<|body_start_0|> assert batch_size == env.nenvs, 'batch_size should equal number of envs in vec_env' self.scheme = scheme self.env = env self.mac = mac self.logger = logger self.batch_size = batch_size self.max_episode_len = max_episode_len self.device = d...

wrap upon vectorized env to collect episdoes (vec env collect steps)

CTDEStepRunner

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class CTDEStepRunner: """wrap upon vectorized env to collect episdoes (vec env collect steps)""" def __init__(self, scheme, env, mac, logger, batch_size, max_episode_len, device='cpu', t_env=0, is_training=True, shared_step_keys=[], ma_step_keys=[], **kwargs): """Arguments: - scheme: sampl...

stack_v2_sparse_classes_75kplus_train_009434

17,139

permissive

[ { "docstring": "Arguments: - scheme: sample batch specs - env: vectorized (parallelized) env - mac: multiagent controller (e.g. maddpgs) - t_env: total env step so far using runner, used when restoring training", "name": "__init__", "signature": "def __init__(self, scheme, env, mac, logger, batch_size, ...

5

stack_v2_sparse_classes_30k_train_052846

Implement the Python class `CTDEStepRunner` described below. Class description: wrap upon vectorized env to collect episdoes (vec env collect steps) Method signatures and docstrings: - def __init__(self, scheme, env, mac, logger, batch_size, max_episode_len, device='cpu', t_env=0, is_training=True, shared_step_keys=[...

eb013bb3bab269bda8a8075e64fe3bcd2964d8ae

<|skeleton|> class CTDEStepRunner: """wrap upon vectorized env to collect episdoes (vec env collect steps)""" def __init__(self, scheme, env, mac, logger, batch_size, max_episode_len, device='cpu', t_env=0, is_training=True, shared_step_keys=[], ma_step_keys=[], **kwargs): """Arguments: - scheme: sampl...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class CTDEStepRunner: """wrap upon vectorized env to collect episdoes (vec env collect steps)""" def __init__(self, scheme, env, mac, logger, batch_size, max_episode_len, device='cpu', t_env=0, is_training=True, shared_step_keys=[], ma_step_keys=[], **kwargs): """Arguments: - scheme: sample batch specs...

the_stack_v2_python_sparse

marl/runners/ctde_runner.py

zhangtjtongxue/learn-to-interact

train

0

fde2f43111cc6e471931a244a3ba6f4e1447dcdb

[ "op_maker = OpMaker()\nread_op = op_maker.create('general_reader')\ninfer_op = op_maker.create('general_infer')\nresponse_op = op_maker.create('general_response')\nread_op_dict = yaml.safe_load(read_op)\nassert read_op_dict['name'] == 'general_reader_0'\nassert read_op_dict['type'] == 'GeneralReaderOp'\ninfer_op_di...

<|body_start_0|> op_maker = OpMaker() read_op = op_maker.create('general_reader') infer_op = op_maker.create('general_infer') response_op = op_maker.create('general_response') read_op_dict = yaml.safe_load(read_op) assert read_op_dict['name'] == 'general_reader_0' ...

test OpMaker class

TestOpMaker

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009435

3,472

no_license

[ { "docstring": "test create normally", "name": "test_create_with_existed_node", "signature": "def test_create_with_existed_node(self)" }, { "docstring": "test create with undefined node", "name": "test_create_with_undefined_node", "signature": "def test_create_with_undefined_node(self)" ...

2

stack_v2_sparse_classes_30k_train_039649

Implement the Python class `TestOpMaker` described below. Class description: test OpMaker class Method signatures and docstrings: - def test_create_with_existed_node(self): test create normally - def test_create_with_undefined_node(self): test create with undefined node

Implement the Python class `TestOpMaker` described below. Class description: test OpMaker class Method signatures and docstrings: - def test_create_with_existed_node(self): test create normally - def test_create_with_undefined_node(self): test create with undefined node <|skeleton|> class TestOpMaker: """test Op...

bd3790ce72a2a26611b5eda3901651b5a809348f

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TestOpMaker: """test OpMaker class""" def test_create_with_existed_node(self): """test create normally""" op_maker = OpMaker() read_op = op_maker.create('general_reader') infer_op = op_maker.create('general_infer') response_op = op_maker.create('general_response') ...

the_stack_v2_python_sparse

inference/serving_api_test/paddle_serving_server/test_dag.py

PaddlePaddle/PaddleTest

train

42

8ede07b3bc1bb34c52a0211b293b9d18f584ce2f

[ "try:\n field = self.order_with_respect_to\n return {field: getattr(self, field)}\nexcept AttributeError:\n return {}", "if self._order is None:\n lookup = self.with_respect_to()\n concrete_model = base_concrete_model(Orderable, self)\n self._order = concrete_model.objects.filter(**lookup).count...

<|body_start_0|> try: field = self.order_with_respect_to return {field: getattr(self, field)} except AttributeError: return {} <|end_body_0|> <|body_start_1|> if self._order is None: lookup = self.with_respect_to() concrete_model = bas...

Abstract model that provides a custom ordering integer field similar to using Meta's ``order_with_respect_to``, since to date (Django 1.2) this doesn't work with ``ForeignKey("self")``. We may also want this feature for models that aren't ordered with respect to a particular field.

Orderable

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Orderable: """Abstract model that provides a custom ordering integer field similar to using Meta's ``order_with_respect_to``, since to date (Django 1.2) this doesn't work with ``ForeignKey("self")``. We may also want this feature for models that aren't ordered with respect to a particular field."...

stack_v2_sparse_classes_75kplus_train_009436

8,916

permissive

[ { "docstring": "Returns a dict to use as a filter for ordering operations containing the original ``Meta.order_with_respect_to`` value if provided.", "name": "with_respect_to", "signature": "def with_respect_to(self)" }, { "docstring": "Set the initial ordering value.", "name": "save", "...

3

stack_v2_sparse_classes_30k_train_011642

Implement the Python class `Orderable` described below. Class description: Abstract model that provides a custom ordering integer field similar to using Meta's ``order_with_respect_to``, since to date (Django 1.2) this doesn't work with ``ForeignKey("self")``. We may also want this feature for models that aren't order...

216dac182bf57c3028124445f5f3dc00a3be47bc

<|skeleton|> class Orderable: """Abstract model that provides a custom ordering integer field similar to using Meta's ``order_with_respect_to``, since to date (Django 1.2) this doesn't work with ``ForeignKey("self")``. We may also want this feature for models that aren't ordered with respect to a particular field."...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Orderable: """Abstract model that provides a custom ordering integer field similar to using Meta's ``order_with_respect_to``, since to date (Django 1.2) this doesn't work with ``ForeignKey("self")``. We may also want this feature for models that aren't ordered with respect to a particular field.""" def w...

the_stack_v2_python_sparse

mezzanine/core/models.py

iciclespider/mezzanine

train

1

4170601f8607d03a5be45f1bebd88a3c12db554f

[ "if not self.cache:\n if self.concrete:\n return 'dbPointer'\n return 'objectId'\nreturn 'object'", "kinds = list(self.kinds)\nif isinstance(value, oid):\n return value\nreturn kinds[0].from_mongo(value, value.keys())", "cache = None\nif isinstance(value, Document):\n cache = value\n ident...

Reference

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Reference: def __foreign__(self): """Advertise that we store a simple reference, or deep reference, or object, depending on configuration.""" <|body_0|> def to_native(self, obj, name, value): """Transform the MongoDB value into a Marrow Mongo value.""" <|body...

stack_v2_sparse_classes_75kplus_train_009437

6,177

permissive

[ { "docstring": "Advertise that we store a simple reference, or deep reference, or object, depending on configuration.", "name": "__foreign__", "signature": "def __foreign__(self)" }, { "docstring": "Transform the MongoDB value into a Marrow Mongo value.", "name": "to_native", "signature"...

3

stack_v2_sparse_classes_30k_train_000614

Implement the Python class `Reference` described below. Class description: Implement the Reference class. Method signatures and docstrings: - def __foreign__(self): Advertise that we store a simple reference, or deep reference, or object, depending on configuration. - def to_native(self, obj, name, value): Transform ...

5f357b3951600a9aecbe6c50727891b1485df210

<|skeleton|> class Reference: def __foreign__(self): """Advertise that we store a simple reference, or deep reference, or object, depending on configuration.""" <|body_0|> def to_native(self, obj, name, value): """Transform the MongoDB value into a Marrow Mongo value.""" <|body...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Reference: def __foreign__(self): """Advertise that we store a simple reference, or deep reference, or object, depending on configuration.""" if not self.cache: if self.concrete: return 'dbPointer' return 'objectId' return 'object' def to_na...

the_stack_v2_python_sparse

dependencies/mongo/marrow/mongo/core/field/complex.py

bmillham/djrq2

train

1

5392a7ba173dfd19e5172f858875a6a2ad3d20e4

[ "defined_in_cli = set()\nfor option in kwargs:\n if ctx.get_parameter_source(option) == ParameterSource.COMMANDLINE:\n defined_in_cli.add(option)\nreturn cls(**kwargs, defined_in_cli=defined_in_cli)", "options_map = map_class_fields_with_their_types(self)\nparsed_config = {'defined_in_config': {'defined...

Configuration read directly from cli or configuration file.

RawConfig

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class RawConfig: """Configuration read directly from cli or configuration file.""" def from_cli(cls, ctx: click.Context, **kwargs): """Creates RawConfig instance while saving which options were supplied from CLI.""" <|body_0|> def from_config_file(self, config: Dict, config_pa...

stack_v2_sparse_classes_75kplus_train_009438

15,395

permissive

[ { "docstring": "Creates RawConfig instance while saving which options were supplied from CLI.", "name": "from_cli", "signature": "def from_cli(cls, ctx: click.Context, **kwargs)" }, { "docstring": "Creates new RawConfig instance from dictionary. Dictionary key:values needs to be normalized and p...

3

null

Implement the Python class `RawConfig` described below. Class description: Configuration read directly from cli or configuration file. Method signatures and docstrings: - def from_cli(cls, ctx: click.Context, **kwargs): Creates RawConfig instance while saving which options were supplied from CLI. - def from_config_fi...

d72e5310ed4a8165d7ee516d79e0accccaf7748c

<|skeleton|> class RawConfig: """Configuration read directly from cli or configuration file.""" def from_cli(cls, ctx: click.Context, **kwargs): """Creates RawConfig instance while saving which options were supplied from CLI.""" <|body_0|> def from_config_file(self, config: Dict, config_pa...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RawConfig: """Configuration read directly from cli or configuration file.""" def from_cli(cls, ctx: click.Context, **kwargs): """Creates RawConfig instance while saving which options were supplied from CLI.""" defined_in_cli = set() for option in kwargs: if ctx.get_par...

the_stack_v2_python_sparse

robocorp-python-ls-core/src/robocorp_ls_core/libs/robotidy_lib/robotidy/config.py

robocorp/robotframework-lsp

train

167

1131904bef4d3ce228ab65c5932251e061df7d29

[ "self.logger = logger\nself.queues = queues\nself.config = Config()\nself.redis_host = redisHost\nself.redis_port = redisPort\nself.encrypted_aes_key_path = encryptedAESKeyPath", "self.logger.info('Decrypting AES Key')\nwrapper = AESKeyWrapper(vault=self.config.azure_keyvault_url, client_id=self.config.service_pr...

Processes Redis Q jobs

Processor

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Processor: """Processes Redis Q jobs""" def __init__(self, logger, redisHost, redisPort, queues, encryptedAESKeyPath): """:param logger logger: the logger :param str redis_host: Redis host where the Redis Q is running :param int redis_port: Redis port where the Redis Q is running :pa...

stack_v2_sparse_classes_75kplus_train_009439

5,001

permissive

[ { "docstring": ":param logger logger: the logger :param str redis_host: Redis host where the Redis Q is running :param int redis_port: Redis port where the Redis Q is running :param array queues: the queues the worker will listen on :param str encryptedAesKeyPath: path to the encrypted AES key file", "name"...

3

stack_v2_sparse_classes_30k_train_029202

Implement the Python class `Processor` described below. Class description: Processes Redis Q jobs Method signatures and docstrings: - def __init__(self, logger, redisHost, redisPort, queues, encryptedAESKeyPath): :param logger logger: the logger :param str redis_host: Redis host where the Redis Q is running :param in...

c079e8fd73c9c6108702174a6a1a5a3b9a9f7395

<|skeleton|> class Processor: """Processes Redis Q jobs""" def __init__(self, logger, redisHost, redisPort, queues, encryptedAESKeyPath): """:param logger logger: the logger :param str redis_host: Redis host where the Redis Q is running :param int redis_port: Redis port where the Redis Q is running :pa...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Processor: """Processes Redis Q jobs""" def __init__(self, logger, redisHost, redisPort, queues, encryptedAESKeyPath): """:param logger logger: the logger :param str redis_host: Redis host where the Redis Q is running :param int redis_port: Redis port where the Redis Q is running :param array que...

the_stack_v2_python_sparse

app/processor.py

Claudiusgonzo/azure-python-redis-queue-processor

train

0

9fc8942e0d3f78140cd1a770eb10df060c343b62

[ "self.task = 'ner'\nself._set_metadata(md)\nself.load_dictionary()\nself.load_tag_dict()\nself.sentences = []\nsent = []\nfor line in sys.stdin:\n line = line.decode('utf-8').strip()\n if line:\n form, pos, tag = line.split(None, 2)\n sent.append([form, pos])\n else:\n self.sentences.a...

<|body_start_0|> self.task = 'ner' self._set_metadata(md) self.load_dictionary() self.load_tag_dict() self.sentences = [] sent = [] for line in sys.stdin: line = line.decode('utf-8').strip() if line: form, pos, tag = line.sp...

This class reads data from a CoNLL03 corpus and turns it into a format readable by the neural network for the NER tagging task.

NerTagReader

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NerTagReader: """This class reads data from a CoNLL03 corpus and turns it into a format readable by the neural network for the NER tagging task.""" def __init__(self, md=None): """Read sentences from stdin.""" <|body_0|> def toIOB(self, tags): """Convert from IOB...

stack_v2_sparse_classes_75kplus_train_009440

4,737

permissive

[ { "docstring": "Read sentences from stdin.", "name": "__init__", "signature": "def __init__(self, md=None)" }, { "docstring": "Convert from IOBES to IOB notation.", "name": "toIOB", "signature": "def toIOB(self, tags)" } ]

2

stack_v2_sparse_classes_30k_train_014527

Implement the Python class `NerTagReader` described below. Class description: This class reads data from a CoNLL03 corpus and turns it into a format readable by the neural network for the NER tagging task. Method signatures and docstrings: - def __init__(self, md=None): Read sentences from stdin. - def toIOB(self, ta...

45c76e3b0f6e94703ed02846fb0ea44937946881

<|skeleton|> class NerTagReader: """This class reads data from a CoNLL03 corpus and turns it into a format readable by the neural network for the NER tagging task.""" def __init__(self, md=None): """Read sentences from stdin.""" <|body_0|> def toIOB(self, tags): """Convert from IOB...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NerTagReader: """This class reads data from a CoNLL03 corpus and turns it into a format readable by the neural network for the NER tagging task.""" def __init__(self, md=None): """Read sentences from stdin.""" self.task = 'ner' self._set_metadata(md) self.load_dictionary()...

the_stack_v2_python_sparse

nlpnet/ner/ner_reader.py

attardi/nlpnet

train

6

4d771bfd3174f71bb01fe59ef63b3848b0b749a9

[ "cache_node = set()\nwhile headA:\n cache_node.add(headA)\n headA = headA.next\nwhile headB:\n if headB in cache_node:\n return headB\n headB = headB.next\nreturn", "pA = headA\npB = headB\nwhile pA != pB:\n pA = pA.next if pA else headB\n pB = pB.next if pB else headA\nreturn pA" ]

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> ListNode: """哈希表时间复杂度: O(n) 空间复杂度: O(n)""" <|body_0|> def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode: """双指针时间复杂度：O(n) 空间福再度：O(1) 设： headA节点长度为m，需要a个节点达到公共节点 ...

stack_v2_sparse_classes_75kplus_train_009441

1,810

no_license

[ { "docstring": "哈希表时间复杂度: O(n) 空间复杂度: O(n)", "name": "getIntersectionNode2", "signature": "def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> ListNode" }, { "docstring": "双指针时间复杂度：O(n) 空间福再度：O(1) 设： headA节点长度为m，需要a个节点达到公共节点 headB节点长度n，需要b个节点达到公共节点公共节点长度为c 创建两个指针pA和pB分别指向headA...

2

stack_v2_sparse_classes_30k_train_020761

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> ListNode: 哈希表时间复杂度: O(n) 空间复杂度: O(n) - def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> Lis...

c0dd577481b46129d950354d567d332a4d091137

<|skeleton|> class Solution: def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> ListNode: """哈希表时间复杂度: O(n) 空间复杂度: O(n)""" <|body_0|> def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode: """双指针时间复杂度：O(n) 空间福再度：O(1) 设： headA节点长度为m，需要a个节点达到公共节点 ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> ListNode: """哈希表时间复杂度: O(n) 空间复杂度: O(n)""" cache_node = set() while headA: cache_node.add(headA) headA = headA.next while headB: if headB in cache_node: ...

the_stack_v2_python_sparse

leetcode/剑指offer/剑指 Offer 52. 两个链表的第一个公共节点.py

tenqaz/crazy_arithmetic

train

0

bdb011cb977feed885ad8df37b13285e2ce49f25

[ "self.refer = refer\nself.top_N = top_N\nself.threshold = threshold", "num_hit = 0\nnum_proposal = 0\nnum_ref = 0\nfor ref_id in self.refer.getRefIds(split=split):\n ref = self.refer.Refs[ref_id]\n image_id = ref['image_id']\n ann_id = ref['ann_id']\n ann = self.refer.Anns[ann_id]\n gt_box = xywh_t...

NewHitRateEvaluator

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class NewHitRateEvaluator: def __init__(self, refer, top_N=None, threshold=0.5): """Evaluate refexp-based hit rate. Args: refdb: `refdb` dict. split: Dataset split to evaluate on. top_N: Select top-N scoring proposals to evaluate. `None` means no selection. Default `None`.""" <|body_0|...

stack_v2_sparse_classes_75kplus_train_009442

3,999

permissive

[ { "docstring": "Evaluate refexp-based hit rate. Args: refdb: `refdb` dict. split: Dataset split to evaluate on. top_N: Select top-N scoring proposals to evaluate. `None` means no selection. Default `None`.", "name": "__init__", "signature": "def __init__(self, refer, top_N=None, threshold=0.5)" }, {...

2

null

Implement the Python class `NewHitRateEvaluator` described below. Class description: Implement the NewHitRateEvaluator class. Method signatures and docstrings: - def __init__(self, refer, top_N=None, threshold=0.5): Evaluate refexp-based hit rate. Args: refdb: `refdb` dict. split: Dataset split to evaluate on. top_N:...

8f83f350c497d0ef875c778a8ce76725552abb3c

<|skeleton|> class NewHitRateEvaluator: def __init__(self, refer, top_N=None, threshold=0.5): """Evaluate refexp-based hit rate. Args: refdb: `refdb` dict. split: Dataset split to evaluate on. top_N: Select top-N scoring proposals to evaluate. `None` means no selection. Default `None`.""" <|body_0|...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class NewHitRateEvaluator: def __init__(self, refer, top_N=None, threshold=0.5): """Evaluate refexp-based hit rate. Args: refdb: `refdb` dict. split: Dataset split to evaluate on. top_N: Select top-N scoring proposals to evaluate. `None` means no selection. Default `None`.""" self.refer = refer ...

the_stack_v2_python_sparse

utils/hit_rate_utils.py

eustcPL/ref-nms

train

0

a2fde0ec714941c39427de31477d1dadc2e106f3

[ "query = 'SELECT user_id,\\n course_id,\\n course_title,\\n course_description,\\n course_category,\\n center,\\n created_on\\n FROM leads\\n ORDER BY created_on DESC\\n '\ndf = self.create_df_from_query(query)\nreturn df", "qu...

<|body_start_0|> query = 'SELECT user_id,\n course_id,\n course_title,\n course_description,\n course_category,\n center,\n created_on\n FROM leads\n ORDER BY created_on DESC\n ' df = self.create_df_from_query(query) ...

Extract

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Extract: def extract_leads(self) -> pd.DataFrame: """Create a leads dataframe from query :return: a dataframe with leads""" <|body_0|> def extract_reviews(self) -> pd.DataFrame: """Create a reviews dataframe from query :return: a dataframe with reviews""" <|b...

stack_v2_sparse_classes_75kplus_train_009443

1,038

no_license

[ { "docstring": "Create a leads dataframe from query :return: a dataframe with leads", "name": "extract_leads", "signature": "def extract_leads(self) -> pd.DataFrame" }, { "docstring": "Create a reviews dataframe from query :return: a dataframe with reviews", "name": "extract_reviews", "s...

2

null

Implement the Python class `Extract` described below. Class description: Implement the Extract class. Method signatures and docstrings: - def extract_leads(self) -> pd.DataFrame: Create a leads dataframe from query :return: a dataframe with leads - def extract_reviews(self) -> pd.DataFrame: Create a reviews dataframe...

0326c80efa4677a1ce5ff6a855eb9ad0dab92977

<|skeleton|> class Extract: def extract_leads(self) -> pd.DataFrame: """Create a leads dataframe from query :return: a dataframe with leads""" <|body_0|> def extract_reviews(self) -> pd.DataFrame: """Create a reviews dataframe from query :return: a dataframe with reviews""" <|b...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Extract: def extract_leads(self) -> pd.DataFrame: """Create a leads dataframe from query :return: a dataframe with leads""" query = 'SELECT user_id,\n course_id,\n course_title,\n course_description,\n course_category,\n center,\n ...

the_stack_v2_python_sparse

automate/classes/extract.py

fdelgados/courses_recommender

train

0

7764868f603b1ee6fd7041a72d53aefdd5ca0721

[ "if reactant_conformers is None:\n reactant_conformers = [-1 for i in range(len(reactants))]\nif product_conformers is None:\n product_conformers = [-1 for i in range(len(products))]\nself.energy_calculator = energy_calculator\nself.reactants = reactants\nself.products = products\nself.reactant_conformers = r...

<|body_start_0|> if reactant_conformers is None: reactant_conformers = [-1 for i in range(len(reactants))] if product_conformers is None: product_conformers = [-1 for i in range(len(products))] self.energy_calculator = energy_calculator self.reactants = reactants ...

Calculates the formation energy of a molecule. Attributes ---------- energy_calculator : :class:`EnergyCalculator` The :class:`EnergyCalculator` used to calculate the energy of all reactant and product molecules. reactants : :class:`list` of :class:`.Molecule` The reactants. If there are multiples of the same reactant ...

FormationEnergy

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class FormationEnergy: """Calculates the formation energy of a molecule. Attributes ---------- energy_calculator : :class:`EnergyCalculator` The :class:`EnergyCalculator` used to calculate the energy of all reactant and product molecules. reactants : :class:`list` of :class:`.Molecule` The reactants. I...

stack_v2_sparse_classes_75kplus_train_009444

12,373

permissive

[ { "docstring": "Initializes a :class:`FormationEnergy` instance. Parameters ---------- energy_calculator : :class:`EnergyCalculator` The :class:`EnergyCalculator` used to calculate the energy of all reactant and product molecules. reactants : :class:`list` of :class:`.Molecule` The reactants. If there are multi...

2

stack_v2_sparse_classes_30k_train_006182

Implement the Python class `FormationEnergy` described below. Class description: Calculates the formation energy of a molecule. Attributes ---------- energy_calculator : :class:`EnergyCalculator` The :class:`EnergyCalculator` used to calculate the energy of all reactant and product molecules. reactants : :class:`list`...

c85ce1f1874cf4bacf00bec7f77ceb7793600911

<|skeleton|> class FormationEnergy: """Calculates the formation energy of a molecule. Attributes ---------- energy_calculator : :class:`EnergyCalculator` The :class:`EnergyCalculator` used to calculate the energy of all reactant and product molecules. reactants : :class:`list` of :class:`.Molecule` The reactants. I...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class FormationEnergy: """Calculates the formation energy of a molecule. Attributes ---------- energy_calculator : :class:`EnergyCalculator` The :class:`EnergyCalculator` used to calculate the energy of all reactant and product molecules. reactants : :class:`list` of :class:`.Molecule` The reactants. If there are m...

the_stack_v2_python_sparse

stk/calculators/energy/energy_calculators.py

lucaspedroni/stk

train

0

98d9df822fd3b722acdb5e2e0c3f3ee0915146f9

[ "super().__init__()\nself.stfts = torch.nn.ModuleList([TorchSTFT(sample_rate=sample_rate, fft_size=x * 4, hop_size=x, win_size=x * 4, normalized=True, domain=domain, mel_scale=mel_scale) for x in hop_lengths])\nself.domain = domain\nif domain == 'double':\n self.discriminators = torch.nn.ModuleList([BaseFrequenc...

<|body_start_0|> super().__init__() self.stfts = torch.nn.ModuleList([TorchSTFT(sample_rate=sample_rate, fft_size=x * 4, hop_size=x, win_size=x * 4, normalized=True, domain=domain, mel_scale=mel_scale) for x in hop_lengths]) self.domain = domain if domain == 'double': self.di...

Multi-Frequency Discriminator module in UnivNet.

MultiFrequencyDiscriminator

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MultiFrequencyDiscriminator: """Multi-Frequency Discriminator module in UnivNet.""" def __init__(self, sample_rate: int=22050, hop_lengths=[128, 256, 512], hidden_channels=[256, 512, 512], domain='double', mel_scale=True, divisors=[32, 16, 8, 4, 2, 1, 1], strides=[1, 2, 1, 2, 1, 2, 1]): ...

stack_v2_sparse_classes_75kplus_train_009445

35,285

permissive

[ { "docstring": "Initialize Multi-Frequency Discriminator module. Args: hop_lengths (list): List of hop lengths. hidden_channels (list): List of number of channels in hidden layers. domain (str): Domain of input signal. Default is \"double\". mel_scale (bool): Whether to use mel-scale frequency. Default is True....

2

null

Implement the Python class `MultiFrequencyDiscriminator` described below. Class description: Multi-Frequency Discriminator module in UnivNet. Method signatures and docstrings: - def __init__(self, sample_rate: int=22050, hop_lengths=[128, 256, 512], hidden_channels=[256, 512, 512], domain='double', mel_scale=True, di...

bcd20948db7846ee523443ef9fd78c7a1248c95e

<|skeleton|> class MultiFrequencyDiscriminator: """Multi-Frequency Discriminator module in UnivNet.""" def __init__(self, sample_rate: int=22050, hop_lengths=[128, 256, 512], hidden_channels=[256, 512, 512], domain='double', mel_scale=True, divisors=[32, 16, 8, 4, 2, 1, 1], strides=[1, 2, 1, 2, 1, 2, 1]): ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MultiFrequencyDiscriminator: """Multi-Frequency Discriminator module in UnivNet.""" def __init__(self, sample_rate: int=22050, hop_lengths=[128, 256, 512], hidden_channels=[256, 512, 512], domain='double', mel_scale=True, divisors=[32, 16, 8, 4, 2, 1, 1], strides=[1, 2, 1, 2, 1, 2, 1]): """Initia...

the_stack_v2_python_sparse

espnet2/gan_svs/visinger2/visinger2_vocoder.py

espnet/espnet

train

7,242

84d50e581e672f418cdaaf6c758b57ff5c88b914

[ "param = req.media\nif 'cartridgeModelName' in param:\n data = db.Db()\n newId = data.addCartdrigeModel(param['cartridgeModelName'])\n resp.text = json.dumps({'id': newId, 'model': param['cartridgeModelName'], 'depString': ''})", "queryString = falcon.uri.parse_query_string(req.query_string)\ndata = db.D...

<|body_start_0|> param = req.media if 'cartridgeModelName' in param: data = db.Db() newId = data.addCartdrigeModel(param['cartridgeModelName']) resp.text = json.dumps({'id': newId, 'model': param['cartridgeModelName'], 'depString': ''}) <|end_body_0|> <|body_start_1|...

CartridgeModel

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009446

1,406

no_license

[ { "docstring": "handle post", "name": "on_post", "signature": "def on_post(self, req, resp)" }, { "docstring": "handle get request", "name": "on_get", "signature": "def on_get(self, req, resp)" }, { "docstring": "handle put request", "name": "on_put", "signature": "def on...

3

stack_v2_sparse_classes_30k_train_003937

Implement the Python class `CartridgeModel` described below. Class description: Implement the CartridgeModel class. Method signatures and docstrings: - def on_post(self, req, resp): handle post - def on_get(self, req, resp): handle get request - def on_put(self, req, resp): handle put request

Implement the Python class `CartridgeModel` described below. Class description: Implement the CartridgeModel class. Method signatures and docstrings: - def on_post(self, req, resp): handle post - def on_get(self, req, resp): handle get request - def on_put(self, req, resp): handle put request <|skeleton|> class Cart...

529e9a0c66a6c7021224a2daf60f378f01164ca5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class CartridgeModel: def on_post(self, req, resp): """handle post""" param = req.media if 'cartridgeModelName' in param: data = db.Db() newId = data.addCartdrigeModel(param['cartridgeModelName']) resp.text = json.dumps({'id': newId, 'model': param['cartri...

the_stack_v2_python_sparse

answers/cartridge_model.py

Logsod/noti_rest_server

train

0

5d28e4c93036f7d520948a3c6e642e89b0e2dc2d

[ "pull_request_template = PullRequestTemplate.objects.get(owner=owner, repo=repo)\nserializer = PullRequestTemplateSerializer(pull_request_template)\nreturn Response(serializer.data)", "pr_template = PullRequestTemplate.objects.filter(owner=owner, repo=repo)\nif pr_template:\n serializer = PullRequestTemplateSe...

PullRequestTemplateView

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009447

4,065

permissive

[ { "docstring": "Return if a repository have a pull request template or not", "name": "get", "signature": "def get(self, request, owner, repo, token_auth)" }, { "docstring": "Post pull request template object", "name": "post", "signature": "def post(self, request, owner, repo, token_auth)...

3

stack_v2_sparse_classes_30k_train_037674

Implement the Python class `PullRequestTemplateView` described below. Class description: Implement the PullRequestTemplateView class. Method signatures and docstrings: - def get(self, request, owner, repo, token_auth): Return if a repository have a pull request template or not - def post(self, request, owner, repo, t...

3f031eac9559a10fdcf70a88ee4c548cf93e4ac2

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PullRequestTemplateView: def get(self, request, owner, repo, token_auth): """Return if a repository have a pull request template or not""" pull_request_template = PullRequestTemplate.objects.get(owner=owner, repo=repo) serializer = PullRequestTemplateSerializer(pull_request_template) ...

the_stack_v2_python_sparse

hubcare/metrics/community_metrics/pull_request_template/views.py

fga-eps-mds/2019.1-hubcare-api

train

7

150465317aa985a95567b7a23c1030e2b14fca8c

[ "data = json.loads(self._event['data'])\nvalue = data.get('value', {})\nif not value:\n return\nself.attributeName = self._event['action'].split('.')[-1]\nself.oldValue = value['old']\nself.newValue = value['new']\nself.setText(u'Attribute <span style=\"color: #E6E6E6;\">{0}</span> changed from <span style=\"col...

<|body_start_0|> data = json.loads(self._event['data']) value = data.get('value', {}) if not value: return self.attributeName = self._event['action'].split('.')[-1] self.oldValue = value['old'] self.newValue = value['new'] self.setText(u'Attribute <spa...

Represent property notification.

PropertyNotification

[ "Apache-2.0", "MIT", "LicenseRef-scancode-warranty-disclaimer" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009448

6,407

permissive

[ { "docstring": "Internal load of data from event.", "name": "_load", "signature": "def _load(self)" }, { "docstring": "Override and add extra information.", "name": "value", "signature": "def value(self)" } ]

2

stack_v2_sparse_classes_30k_train_032608

Implement the Python class `PropertyNotification` described below. Class description: Represent property notification. Method signatures and docstrings: - def _load(self): Internal load of data from event. - def value(self): Override and add extra information.

Implement the Python class `PropertyNotification` described below. Class description: Represent property notification. Method signatures and docstrings: - def _load(self): Internal load of data from event. - def value(self): Override and add extra information. <|skeleton|> class PropertyNotification: """Represen...

f55f52787484fcf931c4653e7e241791f052c04f

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class PropertyNotification: """Represent property notification.""" def _load(self): """Internal load of data from event.""" data = json.loads(self._event['data']) value = data.get('value', {}) if not value: return self.attributeName = self._event['action'].sp...

the_stack_v2_python_sparse

source/ftrack_connect/ui/widget/notification_directive.py

IngenuityEngine/ftrack-connect

train

0

6fa1ba51c2c7320aed81bb6cdfa134cf4be5a6a8

[ "self.sib_host = settings['sib_host']\nself.sib_port = settings['sib_port']\nself.block_size = settings['block_size']", "res = None\ng = Graph()\ntry:\n res = g.parse(filename, format='n3')\nexcept Exception as e:\n raise N3KBLoaderException(str(e))\ntriple_list = []\nfor triple in res:\n s = []\n for...

This class is used to load N3 files into the SIB. NOTE: this class will be modified to support different types of files.

N3KBLoader

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class N3KBLoader: """This class is used to load N3 files into the SIB. NOTE: this class will be modified to support different types of files.""" def __init__(self, settings): """Constructor for the N3KBLoader class""" <|body_0|> def load_n3file(self, filename): """This...

stack_v2_sparse_classes_75kplus_train_009449

2,412

no_license

[ { "docstring": "Constructor for the N3KBLoader class", "name": "__init__", "signature": "def __init__(self, settings)" }, { "docstring": "This method load the content of the N3 file into the SIB", "name": "load_n3file", "signature": "def load_n3file(self, filename)" } ]

2

stack_v2_sparse_classes_30k_train_048052

Implement the Python class `N3KBLoader` described below. Class description: This class is used to load N3 files into the SIB. NOTE: this class will be modified to support different types of files. Method signatures and docstrings: - def __init__(self, settings): Constructor for the N3KBLoader class - def load_n3file(...

f3655856fd38eae2abf0fc73c1fa4817491cfc18

<|skeleton|> class N3KBLoader: """This class is used to load N3 files into the SIB. NOTE: this class will be modified to support different types of files.""" def __init__(self, settings): """Constructor for the N3KBLoader class""" <|body_0|> def load_n3file(self, filename): """This...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class N3KBLoader: """This class is used to load N3 files into the SIB. NOTE: this class will be modified to support different types of files.""" def __init__(self, settings): """Constructor for the N3KBLoader class""" self.sib_host = settings['sib_host'] self.sib_port = settings['sib_po...

the_stack_v2_python_sparse

libs/n3loader.py

desmovalvo/otmbs

train

0

1015f6a6b2f05eaf6ea7f32f43c17edd9c3a841c

[ "msg = Message(**attributes)\nself.message_store.append(msg)\nreturn", "to_be_listed = self.message_store\nif filter_by:\n events = [msg.generate_events() for msg in to_be_listed if msg.to in filter_by]\nelse:\n events = [msg.generate_events() for msg in to_be_listed]\nreturn {'items': events, 'paging': {'n...

A collection of message objects.

MessageStore

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MessageStore: """A collection of message objects.""" def add_to_message_store(self, **attributes): """Create a new Message object and add it to the :obj: `message_store`""" <|body_0|> def list_messages(self, filter_by=None): """List all the messages. :param str f...

stack_v2_sparse_classes_75kplus_train_009450

3,639

permissive

[ { "docstring": "Create a new Message object and add it to the :obj: `message_store`", "name": "add_to_message_store", "signature": "def add_to_message_store(self, **attributes)" }, { "docstring": "List all the messages. :param str filter_by: supports filtering the List by `to` addresses only cur...

3

stack_v2_sparse_classes_30k_train_016785

Implement the Python class `MessageStore` described below. Class description: A collection of message objects. Method signatures and docstrings: - def add_to_message_store(self, **attributes): Create a new Message object and add it to the :obj: `message_store` - def list_messages(self, filter_by=None): List all the m...

8e7eeed84ec5ae97863f9330023298845623c639

<|skeleton|> class MessageStore: """A collection of message objects.""" def add_to_message_store(self, **attributes): """Create a new Message object and add it to the :obj: `message_store`""" <|body_0|> def list_messages(self, filter_by=None): """List all the messages. :param str f...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MessageStore: """A collection of message objects.""" def add_to_message_store(self, **attributes): """Create a new Message object and add it to the :obj: `message_store`""" msg = Message(**attributes) self.message_store.append(msg) return def list_messages(self, filte...

the_stack_v2_python_sparse

mimic/model/mailgun_objects.py

ranjithpeddi/mimic

train

1

1a443b76c13e15eed4842416b38f2faae4813523

[ "while True:\n logger.info('extracting movies from postgres')\n df = (yield)\n if not df.empty:\n genres_ids = id_list(df['id'])\n query = f'\\n SELECT movie_id, array_agg(name) as genre\\n FROM genre\\n JOIN (SELECT * FROM ...

<|body_start_0|> while True: logger.info('extracting movies from postgres') df = (yield) if not df.empty: genres_ids = id_list(df['id']) query = f'\n SELECT movie_id, array_agg(name) as genre\n FROM...

Class for etl process, which moves data from postgres DB to elasticsearch

GenreETL

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GenreETL: """Class for etl process, which moves data from postgres DB to elasticsearch""" def extract_first_level_connections(self, data): """Coroutine that queries postgres to get genres based on the movies ids gotten in the previous step :param data: :return: dataframe with genres ...

stack_v2_sparse_classes_75kplus_train_009451

2,866

no_license

[ { "docstring": "Coroutine that queries postgres to get genres based on the movies ids gotten in the previous step :param data: :return: dataframe with genres data + movies", "name": "extract_first_level_connections", "signature": "def extract_first_level_connections(self, data)" }, { "docstring"...

2

stack_v2_sparse_classes_30k_train_000634

Implement the Python class `GenreETL` described below. Class description: Class for etl process, which moves data from postgres DB to elasticsearch Method signatures and docstrings: - def extract_first_level_connections(self, data): Coroutine that queries postgres to get genres based on the movies ids gotten in the p...

4ddc8a77e5a9e9bc2a900c7bb6ffbcf5999e8c89

<|skeleton|> class GenreETL: """Class for etl process, which moves data from postgres DB to elasticsearch""" def extract_first_level_connections(self, data): """Coroutine that queries postgres to get genres based on the movies ids gotten in the previous step :param data: :return: dataframe with genres ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GenreETL: """Class for etl process, which moves data from postgres DB to elasticsearch""" def extract_first_level_connections(self, data): """Coroutine that queries postgres to get genres based on the movies ids gotten in the previous step :param data: :return: dataframe with genres data + movies...

the_stack_v2_python_sparse

postgres_to_es/etl_genre.py

maffka123/Admin_panel_sprint_2

train

0

b55236a26d47009d650a3b50b721c9af6b677c13

[ "installed = dpkg.installed()\nrgx = '^postgresql-client-(?P<version>(?P<major>[0-9]+)(\\\\.(?P<minor>[0-9]+))?)$'\nscanner = re.compile(rgx)\nfor key in installed.keys():\n match = scanner.match(key)\n if match:\n packages = (match.group(), 'libpq-dev')\n missing = [pkg for pkg in packages if p...

<|body_start_0|> installed = dpkg.installed() rgx = '^postgresql-client-(?P<version>(?P<major>[0-9]+)(\\.(?P<minor>[0-9]+))?)$' scanner = re.compile(rgx) for key in installed.keys(): match = scanner.match(key) if match: packages = (match.group(), '...

The package manager for postgres client development

Postgres

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Postgres: """The package manager for postgres client development""" def dpkgAlternatives(cls, dpkg): """Go through the installed packages and identify those that are relevant for providing support for my installations""" <|body_0|> def dpkgPackages(cls, packager): ...

stack_v2_sparse_classes_75kplus_train_009452

7,944

permissive

[ { "docstring": "Go through the installed packages and identify those that are relevant for providing support for my installations", "name": "dpkgAlternatives", "signature": "def dpkgAlternatives(cls, dpkg)" }, { "docstring": "Provide alternative compatible implementations of python on dpkg machi...

3

stack_v2_sparse_classes_30k_train_034887

Implement the Python class `Postgres` described below. Class description: The package manager for postgres client development Method signatures and docstrings: - def dpkgAlternatives(cls, dpkg): Go through the installed packages and identify those that are relevant for providing support for my installations - def dpk...

d741c44ffb3e9e1f726bf492202ac8738bb4aa1c

<|skeleton|> class Postgres: """The package manager for postgres client development""" def dpkgAlternatives(cls, dpkg): """Go through the installed packages and identify those that are relevant for providing support for my installations""" <|body_0|> def dpkgPackages(cls, packager): ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Postgres: """The package manager for postgres client development""" def dpkgAlternatives(cls, dpkg): """Go through the installed packages and identify those that are relevant for providing support for my installations""" installed = dpkg.installed() rgx = '^postgresql-client-(?P<v...

the_stack_v2_python_sparse

packages/pyre/externals/Postgres.py

pyre/pyre

train

27

01937e90e33bc2dd7dc01a0f4599458b8d7e76d2

[ "if self.settings.get('debug') is True:\n self.set_header('Access-Control-Allow-Origin', '*')\n self.set_header('Access-Control-Allow-Headers', 'duck-token')\n self.set_header('Access-Control-Allow-Methods', 'DELETE, PUT, POST, GET, OPTIONS')", "if self.settings.get('debug') is True:\n self.set_status...

<|body_start_0|> if self.settings.get('debug') is True: self.set_header('Access-Control-Allow-Origin', '*') self.set_header('Access-Control-Allow-Headers', 'duck-token') self.set_header('Access-Control-Allow-Methods', 'DELETE, PUT, POST, GET, OPTIONS') <|end_body_0|> <|body_...

allow for development

BaseHandler

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009453

813

permissive

[ { "docstring": "allow access for development", "name": "set_default_headers", "signature": "def set_default_headers(self)" }, { "docstring": "allow dev request", "name": "options", "signature": "def options(self, *args, **kwargs)" } ]

2

stack_v2_sparse_classes_30k_test_002101

Implement the Python class `BaseHandler` described below. Class description: allow for development Method signatures and docstrings: - def set_default_headers(self): allow access for development - def options(self, *args, **kwargs): allow dev request

Implement the Python class `BaseHandler` described below. Class description: allow for development Method signatures and docstrings: - def set_default_headers(self): allow access for development - def options(self, *args, **kwargs): allow dev request <|skeleton|> class BaseHandler: """allow for development""" ...

e6d0e62d378bd2d9ed0cd5ce4bc7ab3476b86020

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BaseHandler: """allow for development""" def set_default_headers(self): """allow access for development""" if self.settings.get('debug') is True: self.set_header('Access-Control-Allow-Origin', '*') self.set_header('Access-Control-Allow-Headers', 'duck-token') ...

the_stack_v2_python_sparse

duckdown/handlers/base_handler.py

blueshed/duckdown

train

0

b4d78528fb80f06763b588157ee35e7f3a4ca7df

[ "external_temp_dir = tempfile.mkdtemp()\ntry:\n external_temp_file = os.path.join(external_temp_dir, 'test.txt')\n with open(external_temp_file, 'w', encoding='utf-8') as fd:\n fd.write('HI')\n link_dir = os.path.join(self.tmp_dir, 'foo', 'link_dir')\n MakeSymLink(external_temp_file, link_dir)\n ...

<|body_start_0|> external_temp_dir = tempfile.mkdtemp() try: external_temp_file = os.path.join(external_temp_dir, 'test.txt') with open(external_temp_file, 'w', encoding='utf-8') as fd: fd.write('HI') link_dir = os.path.join(self.tmp_dir, 'foo', 'link_...

WinSymlinkTest

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class WinSymlinkTest: def testRmtreeOsWalkDoesNotFollowSymlinks(self): """_RmtreeOsWalk(...) will delete the symlink and not the target.""" <|body_0|> def testRmtreeCmdShellDoesNotFollowSymlinks(self): """_RmtreeShellCmd(...) will delete the symlink and not the target.""" ...

stack_v2_sparse_classes_75kplus_train_009454

3,426

permissive

[ { "docstring": "_RmtreeOsWalk(...) will delete the symlink and not the target.", "name": "testRmtreeOsWalkDoesNotFollowSymlinks", "signature": "def testRmtreeOsWalkDoesNotFollowSymlinks(self)" }, { "docstring": "_RmtreeShellCmd(...) will delete the symlink and not the target.", "name": "test...

2

stack_v2_sparse_classes_30k_train_009224

Implement the Python class `WinSymlinkTest` described below. Class description: Implement the WinSymlinkTest class. Method signatures and docstrings: - def testRmtreeOsWalkDoesNotFollowSymlinks(self): _RmtreeOsWalk(...) will delete the symlink and not the target. - def testRmtreeCmdShellDoesNotFollowSymlinks(self): _...

acefdaaadd3ef46f10f63d1acae2259e4024d383

<|skeleton|> class WinSymlinkTest: def testRmtreeOsWalkDoesNotFollowSymlinks(self): """_RmtreeOsWalk(...) will delete the symlink and not the target.""" <|body_0|> def testRmtreeCmdShellDoesNotFollowSymlinks(self): """_RmtreeShellCmd(...) will delete the symlink and not the target.""" ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class WinSymlinkTest: def testRmtreeOsWalkDoesNotFollowSymlinks(self): """_RmtreeOsWalk(...) will delete the symlink and not the target.""" external_temp_dir = tempfile.mkdtemp() try: external_temp_file = os.path.join(external_temp_dir, 'test.txt') with open(external_...

the_stack_v2_python_sparse

starboard/tools/win_symlink_test.py

youtube/cobalt

train

169

99e80c48e4db9a4b98e852b4f699c35ff1a95d28

[ "if val < 0:\n raise ValueError\nelif val == 0:\n raise OSError\nelif val == 1:\n raise FileNotFoundError\nelif val == 2:\n raise MyVeryOwnError\nelse:\n return val", "try:\n Exceptions.throwSomething(val)\n return str(val)\nexcept ValueError:\n return 'Negative values are not allowed'\nex...

<|body_start_0|> if val < 0: raise ValueError elif val == 0: raise OSError elif val == 1: raise FileNotFoundError elif val == 2: raise MyVeryOwnError else: return val <|end_body_0|> <|body_start_1|> try: ...

Exceptions

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Exceptions: def throwSomething(val): """See https://docs.python.org/3/library/exceptions.html Return the val, UNLESS: val<0, then raise a ValueError, val==0, then raise a OSError val==1, then raise a FileNotFoundError val==2, then raise a MyNewError HINT: It will be helpful to you to loo...

stack_v2_sparse_classes_75kplus_train_009455

2,503

no_license

[ { "docstring": "See https://docs.python.org/3/library/exceptions.html Return the val, UNLESS: val<0, then raise a ValueError, val==0, then raise a OSError val==1, then raise a FileNotFoundError val==2, then raise a MyNewError HINT: It will be helpful to you to look at the required messages in catchSomething :pa...

2

stack_v2_sparse_classes_30k_train_018507

Implement the Python class `Exceptions` described below. Class description: Implement the Exceptions class. Method signatures and docstrings: - def throwSomething(val): See https://docs.python.org/3/library/exceptions.html Return the val, UNLESS: val<0, then raise a ValueError, val==0, then raise a OSError val==1, th...

91836d91445e778b17257129c0b73c68b9190a2c

<|skeleton|> class Exceptions: def throwSomething(val): """See https://docs.python.org/3/library/exceptions.html Return the val, UNLESS: val<0, then raise a ValueError, val==0, then raise a OSError val==1, then raise a FileNotFoundError val==2, then raise a MyNewError HINT: It will be helpful to you to loo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Exceptions: def throwSomething(val): """See https://docs.python.org/3/library/exceptions.html Return the val, UNLESS: val<0, then raise a ValueError, val==0, then raise a OSError val==1, then raise a FileNotFoundError val==2, then raise a MyNewError HINT: It will be helpful to you to look at the requi...

the_stack_v2_python_sparse

cpsc250-p4-exceptions-s19-master/src/exceptions.py

ElijahWeske/CPSC250----Python

train

0

52fe65d722c479f57c493d449f39cae664d2b8d7

[ "user = request.user\nif user.is_anonymous():\n user = User.objects.get(display_name='AnonymousUser')\ndata = request.data\nproject = Project.objects.as_contributor(request.user, project_id)\nif not data.get('meta').get('status') == 'draft' and project.can_moderate(user):\n data['meta']['status'] = 'active'\n...

<|body_start_0|> user = request.user if user.is_anonymous(): user = User.objects.get(display_name='AnonymousUser') data = request.data project = Project.objects.as_contributor(request.user, project_id) if not data.get('meta').get('status') == 'draft' and project.can_m...

Public API endpoint to add new contributions to a project /api/projects/:project_id/contributions

ProjectObservations

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ProjectObservations: """Public API endpoint to add new contributions to a project /api/projects/:project_id/contributions""" def post(self, request, project_id): """Adds a new contribution to a project Parameters ---------- request : rest_framework.request.Request Represents the requ...

stack_v2_sparse_classes_75kplus_train_009456

10,813

permissive

[ { "docstring": "Adds a new contribution to a project Parameters ---------- request : rest_framework.request.Request Represents the request project_id : int identifies the project in the data base Returns ------- rest_framework.response.Respone Contains the serialised contribution", "name": "post", "sign...

2

stack_v2_sparse_classes_30k_train_050183

Implement the Python class `ProjectObservations` described below. Class description: Public API endpoint to add new contributions to a project /api/projects/:project_id/contributions Method signatures and docstrings: - def post(self, request, project_id): Adds a new contribution to a project Parameters ---------- req...

16d31b5207de9f699fc01054baad1fe65ad1c3ca

<|skeleton|> class ProjectObservations: """Public API endpoint to add new contributions to a project /api/projects/:project_id/contributions""" def post(self, request, project_id): """Adds a new contribution to a project Parameters ---------- request : rest_framework.request.Request Represents the requ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ProjectObservations: """Public API endpoint to add new contributions to a project /api/projects/:project_id/contributions""" def post(self, request, project_id): """Adds a new contribution to a project Parameters ---------- request : rest_framework.request.Request Represents the request project_i...

the_stack_v2_python_sparse

geokey/contributions/views/observations.py

NeolithEra/geokey

train

0

d26d6be4f9ed44b79b13f1d73cecc94d8c9410e4

[ "if n == 1 or n == 2:\n return n\nif n >= 3:\n return self.climb_stairs_recursive(n - 1) + self.climb_stairs_recursive(n - 2)\nreturn n", "if n == 1:\n return 1\ndp = [1, 2]\nfor i in range(2, n):\n dp.append(dp[i - 1] + dp[i - 2])\nreturn dp[n - 1]" ]

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009457

1,278

no_license

[ { "docstring": "递归法", "name": "climb_stairs_recursive", "signature": "def climb_stairs_recursive(self, n: int) -> int" }, { "docstring": "动态规划", "name": "climb_stairs_dp", "signature": "def climb_stairs_dp(self, n: int) -> int" } ]

2

stack_v2_sparse_classes_30k_train_018711

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def climb_stairs_recursive(self, n: int) -> int: 递归法 - def climb_stairs_dp(self, n: int) -> int: 动态规划

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def climb_stairs_recursive(self, n: int) -> int: 递归法 - def climb_stairs_dp(self, n: int) -> int: 动态规划 <|skeleton|> class Solution: def climb_stairs_recursive(self, n: int) ...

91d0a4145b066c885272cf1896b5564439f855fa

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def climb_stairs_recursive(self, n: int) -> int: """递归法""" if n == 1 or n == 2: return n if n >= 3: return self.climb_stairs_recursive(n - 1) + self.climb_stairs_recursive(n - 2) return n def climb_stairs_dp(self, n: int) -> int: "...

the_stack_v2_python_sparse

DP问题/leetcode70 爬楼梯.py

Deaseyy/algorithm

train

0

f003181799610663c462e1ff16481c92cfef9c4c

[ "super(MinCutPoolModel, self).__init__()\nself.act = nn.ReLU(inplace=True)\nself.conv1 = GraphConvolution(input_dim, hidden_dim, use_bias)\nself.conv2 = DenseGraphConvolution(hidden_dim, hidden_dim, aggregate, use_bias)\nself.conv3 = DenseGraphConvolution(hidden_dim, hidden_dim, aggregate, use_bias)\nself.cluster1 ...

<|body_start_0|> super(MinCutPoolModel, self).__init__() self.act = nn.ReLU(inplace=True) self.conv1 = GraphConvolution(input_dim, hidden_dim, use_bias) self.conv2 = DenseGraphConvolution(hidden_dim, hidden_dim, aggregate, use_bias) self.conv3 = DenseGraphConvolution(hidden_dim, ...

MinCutPool模型结构

MinCutPoolModel

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MinCutPoolModel: """MinCutPool模型结构""" def __init__(self, input_dim, hidden_dim, output_dim, avg_nodes, aggregate='sum', dropout=0.0, use_bias=True): """MinCutPool模型结构 Inputs: ------- input_dim: int, 节点特征数量 hidden_dim: int, 各隐层计算输出的特征数 output_dim: int, 输出类别数量 avg_nodes: int, 所有图平均节点数,...

stack_v2_sparse_classes_75kplus_train_009458

3,547

permissive

[ { "docstring": "MinCutPool模型结构 Inputs: ------- input_dim: int, 节点特征数量 hidden_dim: int, 各隐层计算输出的特征数 output_dim: int, 输出类别数量 avg_nodes: int, 所有图平均节点数, 用于确定各聚类层的聚类个数 aggregate: string, DenseGraphConvolution层中节点聚合方式 dropout: float, 输出层使用的dopout比例 use_bias: boolean, 图卷积层是否使用偏置", "name": "__init__", "signatur...

2

stack_v2_sparse_classes_30k_train_036030

Implement the Python class `MinCutPoolModel` described below. Class description: MinCutPool模型结构 Method signatures and docstrings: - def __init__(self, input_dim, hidden_dim, output_dim, avg_nodes, aggregate='sum', dropout=0.0, use_bias=True): MinCutPool模型结构 Inputs: ------- input_dim: int, 节点特征数量 hidden_dim: int, 各隐层计...

ee16c37fd065ba4c732138096f715f04c0ad6fcf

<|skeleton|> class MinCutPoolModel: """MinCutPool模型结构""" def __init__(self, input_dim, hidden_dim, output_dim, avg_nodes, aggregate='sum', dropout=0.0, use_bias=True): """MinCutPool模型结构 Inputs: ------- input_dim: int, 节点特征数量 hidden_dim: int, 各隐层计算输出的特征数 output_dim: int, 输出类别数量 avg_nodes: int, 所有图平均节点数,...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MinCutPoolModel: """MinCutPool模型结构""" def __init__(self, input_dim, hidden_dim, output_dim, avg_nodes, aggregate='sum', dropout=0.0, use_bias=True): """MinCutPool模型结构 Inputs: ------- input_dim: int, 节点特征数量 hidden_dim: int, 各隐层计算输出的特征数 output_dim: int, 输出类别数量 avg_nodes: int, 所有图平均节点数, 用于确定各聚类层的聚类个...

the_stack_v2_python_sparse

Graph/MinCutPool/script/model.py

robbinc91/GNN-Pytorch

train

0

ef7c0d09dff5cdea6955a082b4e271b14071be5a

[ "KratosMultiphysics.Process.__init__(self)\ndefault_settings = KratosMultiphysics.Parameters('\\n {\\n \"help\" : \"This sets the initial conditions in terms of imposed strain, stress or deformation gradient\",\\n \"mesh_id\" : 0,\\n \"model_part_name\" : \...

<|body_start_0|> KratosMultiphysics.Process.__init__(self) default_settings = KratosMultiphysics.Parameters('\n {\n "help" : "This sets the initial conditions in terms of imposed strain, stress or deformation gradient",\n "mesh_id" : 0,\n "model...

This process sets a given value for a certain flag in all the nodes of a submodelpart Only the member variables listed below should be accessed directly. Public member variables: Model -- the container of the different model parts. settings -- Kratos parameters containing solver settings.

SetInitialStateProcess

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SetInitialStateProcess: """This process sets a given value for a certain flag in all the nodes of a submodelpart Only the member variables listed below should be accessed directly. Public member variables: Model -- the container of the different model parts. settings -- Kratos parameters containi...

stack_v2_sparse_classes_75kplus_train_009459

6,326

permissive

[ { "docstring": "The default constructor of the class Keyword arguments: self -- It signifies an instance of a class. Model -- the container of the different model parts. settings -- Kratos parameters containing solver settings.", "name": "__init__", "signature": "def __init__(self, Model, settings)" }...

3

stack_v2_sparse_classes_30k_train_022087

Implement the Python class `SetInitialStateProcess` described below. Class description: This process sets a given value for a certain flag in all the nodes of a submodelpart Only the member variables listed below should be accessed directly. Public member variables: Model -- the container of the different model parts....

366949ec4e3651702edc6ac3061d2988f10dd271

<|skeleton|> class SetInitialStateProcess: """This process sets a given value for a certain flag in all the nodes of a submodelpart Only the member variables listed below should be accessed directly. Public member variables: Model -- the container of the different model parts. settings -- Kratos parameters containi...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SetInitialStateProcess: """This process sets a given value for a certain flag in all the nodes of a submodelpart Only the member variables listed below should be accessed directly. Public member variables: Model -- the container of the different model parts. settings -- Kratos parameters containing solver set...

the_stack_v2_python_sparse

kratos/python_scripts/set_initial_state_process.py

KratosMultiphysics/Kratos

train

994

df6a7b653ef080e4791c7f38390c12275e91e678

[ "try:\n return_data = ''\n return Response(json.dumps(return_data))\nexcept Exception as e:\n return_data = {'status': '404', 'result': str(e)}\n return Response(json.dumps(return_data))", "try:\n return_data = ''\n return Response(json.dumps(return_data))\nexcept Exception as e:\n return_dat...

<|body_start_0|> try: return_data = '' return Response(json.dumps(return_data)) except Exception as e: return_data = {'status': '404', 'result': str(e)} return Response(json.dumps(return_data)) <|end_body_0|> <|body_start_1|> try: retu...

WorkFlowNetConf

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009460

2,259

permissive

[ { "docstring": "- desc : insert data", "name": "post", "signature": "def post(self, request, nnid, ver, node)" }, { "docstring": "- desc : get data", "name": "get", "signature": "def get(self, request, nnid, ver, node)" }, { "docstring": "- request ; update data", "name": "pu...

4

null

Implement the Python class `WorkFlowNetConf` described below. Class description: Implement the WorkFlowNetConf class. Method signatures and docstrings: - def post(self, request, nnid, ver, node): - desc : insert data - def get(self, request, nnid, ver, node): - desc : get data - def put(self, request, nnid, ver, node...

6ad2fbc7384e4dbe7e3e63bdb44c8ce0387f4b7f

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class WorkFlowNetConf: def post(self, request, nnid, ver, node): """- desc : insert data""" try: return_data = '' return Response(json.dumps(return_data)) except Exception as e: return_data = {'status': '404', 'result': str(e)} return Response(...

the_stack_v2_python_sparse

api/views/workflow_netconf.py

yurimkoo/tensormsa

train

1

ac04aec14e4f971031f843d5c216e6bfd42577fc

[ "is_page = request.args.to_dict()['is_page'] if 'is_page' in request.args.to_dict() else False\nif IdParse().get_result().id:\n model = self._find_by_id(IdParse().get_result().id)\n return make_result(model)\nelif not is_page:\n query, by = self._parse_query_field()\n page, size = self._parse_page_size(...

<|body_start_0|> is_page = request.args.to_dict()['is_page'] if 'is_page' in request.args.to_dict() else False if IdParse().get_result().id: model = self._find_by_id(IdParse().get_result().id) return make_result(model) elif not is_page: query, by = self._parse...

serverBase

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009461

4,787

no_license

[ { "docstring": "获取该表单项或者全部记录", "name": "get", "signature": "def get(self)" }, { "docstring": "向该表新增某项或多项纪录", "name": "post", "signature": "def post(self)" }, { "docstring": "删除该表的某项或多项纪录", "name": "delete", "signature": "def delete(self)" }, { "docstring": "修改该表的某...

5

null

Implement the Python class `serverBase` described below. Class description: Implement the serverBase class. Method signatures and docstrings: - def get(self): 获取该表单项或者全部记录 - def post(self): 向该表新增某项或多项纪录 - def delete(self): 删除该表的某项或多项纪录 - def put(self): 修改该表的某项或多项纪录 - def _chose_to_do(self, do, models, total_count, fa...

1df34a65758072d28d147b246acb82633faf9e53

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class serverBase: def get(self): """获取该表单项或者全部记录""" is_page = request.args.to_dict()['is_page'] if 'is_page' in request.args.to_dict() else False if IdParse().get_result().id: model = self._find_by_id(IdParse().get_result().id) return make_result(model) elif n...

the_stack_v2_python_sparse

app/server/Server.py

row-yanbing/Job-back-end

train

0

6c32522055f7db96b9b58b60e98888a296833fd3

[ "self._run_resource_id = run_resource_id\nself._api = api\nself._tag_to_time_series_proto: Dict[str, tensorboard_time_series.TensorboardTimeSeries] = {}", "if tag_name in self._tag_to_time_series_proto:\n return self._tag_to_time_series_proto[tag_name]\ntime_series = time_series_resource_creator()\ntime_series...

<|body_start_0|> self._run_resource_id = run_resource_id self._api = api self._tag_to_time_series_proto: Dict[str, tensorboard_time_series.TensorboardTimeSeries] = {} <|end_body_0|> <|body_start_1|> if tag_name in self._tag_to_time_series_proto: return self._tag_to_time_seri...

Helper class managing Time Series resources.

TimeSeriesResourceManager

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TimeSeriesResourceManager: """Helper class managing Time Series resources.""" def __init__(self, run_resource_id: str, api: TensorboardServiceClient): """Constructor for TimeSeriesResourceManager. Args: run_resource_id (str): Required. The resource id for the run with the following f...

stack_v2_sparse_classes_75kplus_train_009462

19,502

permissive

[ { "docstring": "Constructor for TimeSeriesResourceManager. Args: run_resource_id (str): Required. The resource id for the run with the following format. projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run} api (TensorboardServiceClient): Required. A TensorboardS...

2

null

Implement the Python class `TimeSeriesResourceManager` described below. Class description: Helper class managing Time Series resources. Method signatures and docstrings: - def __init__(self, run_resource_id: str, api: TensorboardServiceClient): Constructor for TimeSeriesResourceManager. Args: run_resource_id (str): R...

76b95b92c1d3b87c72d754d8c02b1bca652b9a27

<|skeleton|> class TimeSeriesResourceManager: """Helper class managing Time Series resources.""" def __init__(self, run_resource_id: str, api: TensorboardServiceClient): """Constructor for TimeSeriesResourceManager. Args: run_resource_id (str): Required. The resource id for the run with the following f...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TimeSeriesResourceManager: """Helper class managing Time Series resources.""" def __init__(self, run_resource_id: str, api: TensorboardServiceClient): """Constructor for TimeSeriesResourceManager. Args: run_resource_id (str): Required. The resource id for the run with the following format. projec...

the_stack_v2_python_sparse

google/cloud/aiplatform/tensorboard/uploader_utils.py

googleapis/python-aiplatform

train

418

8bbf99349863bc26c0a81f7d18978a15d112189f

[ "input_stream_ids = {f'input_{idx}': ik for idx, ik in enumerate(input_stream_keys)}\nassert 'dim' in config, \"SqueezeModule relies on 'dim' value.\\n Not found in config.\"\nsuper(SqueezeModule, self).__init__(id=id, type='SqueezeModule', config=config, input_stream_ids=input_stream_ids)\nself.sque...

<|body_start_0|> input_stream_ids = {f'input_{idx}': ik for idx, ik in enumerate(input_stream_keys)} assert 'dim' in config, "SqueezeModule relies on 'dim' value.\n Not found in config." super(SqueezeModule, self).__init__(id=id, type='SqueezeModule', config=config, input_stream_i...

SqueezeModule

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class SqueezeModule: def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]): """Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing th...

stack_v2_sparse_classes_75kplus_train_009463

2,766

permissive

[ { "docstring": "Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - \"dim\": List of None/Tuple/List/torch.Size representing the index of the dimension to squeeze for each input stream. If multiple input streams are proposed but only one...

2

stack_v2_sparse_classes_30k_train_040203

Implement the Python class `SqueezeModule` described below. Class description: Implement the SqueezeModule class. Method signatures and docstrings: - def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]): Squeeze input streams data (beware the batch dimension if it is equal to 1...). :p...

afe22da2ac20c0d24e93b4dbd1f1ad61374d1a6c

<|skeleton|> class SqueezeModule: def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]): """Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing th...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class SqueezeModule: def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]): """Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing the index of the...

the_stack_v2_python_sparse

ReferentialGym/modules/squeeze_module.py

mk788/ReferentialGym

train

0

74ea819c52b17e12eba1017fb439ebe2476e0b52

[ "self.base = util.get_base_color()\nself.view = view\nself.on_cancel = on_cancel\nself.setup_gamut_style()\nself.setup_image_border()\nself.setup_sizes()", "if self.on_cancel is not None:\n call = self.on_cancel.get('command', 'color_helper')\n args = self.on_cancel.get('args', {})\n self.view.run_comman...

Color input handler base class.

_ColorInputHandler

[ "MIT" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009464

2,168

permissive

[ { "docstring": "Initialize.", "name": "__init__", "signature": "def __init__(self, view, on_cancel=None, **kwargs)" }, { "docstring": "On cancel.", "name": "cancel", "signature": "def cancel(self)" }, { "docstring": "Get HTML style.", "name": "get_html_style", "signature"...

3

stack_v2_sparse_classes_30k_train_033462

Implement the Python class `_ColorInputHandler` described below. Class description: Color input handler base class. Method signatures and docstrings: - def __init__(self, view, on_cancel=None, **kwargs): Initialize. - def cancel(self): On cancel. - def get_html_style(self): Get HTML style.

Implement the Python class `_ColorInputHandler` described below. Class description: Color input handler base class. Method signatures and docstrings: - def __init__(self, view, on_cancel=None, **kwargs): Initialize. - def cancel(self): On cancel. - def get_html_style(self): Get HTML style. <|skeleton|> class _ColorI...

ad4d779bff57a65b7c77cda0b79c10cf904eb817

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class _ColorInputHandler: """Color input handler base class.""" def __init__(self, view, on_cancel=None, **kwargs): """Initialize.""" self.base = util.get_base_color() self.view = view self.on_cancel = on_cancel self.setup_gamut_style() self.setup_image_border() ...

the_stack_v2_python_sparse

ch_tools.py

facelessuser/ColorHelper

train

279

81c19b6db7780f52925ea637f1642df4fa161191

[ "if self.context is None:\n raise ValueError('Attribute not bound to a context.')\nreturn super().fromUnicode(str(ustr))", "if interfaces.IDeprecated.providedBy(self) and self.deprecatedName in self.context.element.attrib:\n name = self.deprecatedName\n logger.warning('Deprecated attribute \"{}\": {} {}'...

An attribute of the RML directive.

RMLAttribute

[ "ZPL-2.1" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009465

24,284

permissive

[ { "docstring": "See zope.schema.interfaces.IField", "name": "fromUnicode", "signature": "def fromUnicode(self, ustr)" }, { "docstring": "See zope.schema.interfaces.IField", "name": "get", "signature": "def get(self)" } ]

2

null

Implement the Python class `RMLAttribute` described below. Class description: An attribute of the RML directive. Method signatures and docstrings: - def fromUnicode(self, ustr): See zope.schema.interfaces.IField - def get(self): See zope.schema.interfaces.IField

Implement the Python class `RMLAttribute` described below. Class description: An attribute of the RML directive. Method signatures and docstrings: - def fromUnicode(self, ustr): See zope.schema.interfaces.IField - def get(self): See zope.schema.interfaces.IField <|skeleton|> class RMLAttribute: """An attribute o...

42581266311f7e24dfc7fe28de4080dfd4522aa6

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class RMLAttribute: """An attribute of the RML directive.""" def fromUnicode(self, ustr): """See zope.schema.interfaces.IField""" if self.context is None: raise ValueError('Attribute not bound to a context.') return super().fromUnicode(str(ustr)) def get(self): ...

the_stack_v2_python_sparse

src/z3c/rml/attr.py

zopefoundation/z3c.rml

train

90

73337c65d2b541fa0fcbce2e01067c23a3fade91

[ "gtk.Alignment.__init__(self)\nself.color_infos = color_infos\nself.set(0.0, 0.0, 1.0, 0.0)\nself.set_padding(padding_y, padding_y, padding_x, padding_x)\nself.separator = gtk.VBox()\nself.separator.set_size_request(-1, 1)\nself.separator.connect('expose-event', self.expose_hseparator)\nself.add(self.separator)\nse...

<|body_start_0|> gtk.Alignment.__init__(self) self.color_infos = color_infos self.set(0.0, 0.0, 1.0, 0.0) self.set_padding(padding_y, padding_y, padding_x, padding_x) self.separator = gtk.VBox() self.separator.set_size_request(-1, 1) self.separator.connect('expose...

Horizontal separator.

HSeparator

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009466

1,970

no_license

[ { "docstring": "Init horizontal separator.", "name": "__init__", "signature": "def __init__(self, color_infos, padding_x=0, padding_y=0)" }, { "docstring": "Expose separator item.", "name": "expose_hseparator", "signature": "def expose_hseparator(self, widget, event)" } ]

2

stack_v2_sparse_classes_30k_train_035294

Implement the Python class `HSeparator` described below. Class description: Horizontal separator. Method signatures and docstrings: - def __init__(self, color_infos, padding_x=0, padding_y=0): Init horizontal separator. - def expose_hseparator(self, widget, event): Expose separator item.

Implement the Python class `HSeparator` described below. Class description: Horizontal separator. Method signatures and docstrings: - def __init__(self, color_infos, padding_x=0, padding_y=0): Init horizontal separator. - def expose_hseparator(self, widget, event): Expose separator item. <|skeleton|> class HSeparato...

d8c8665b327f7156bf8d9d7ec04f47214faf3cc3

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class HSeparator: """Horizontal separator.""" def __init__(self, color_infos, padding_x=0, padding_y=0): """Init horizontal separator.""" gtk.Alignment.__init__(self) self.color_infos = color_infos self.set(0.0, 0.0, 1.0, 0.0) self.set_padding(padding_y, padding_y, paddi...

the_stack_v2_python_sparse

linux/gui/line.py

iiiyu/old-oh-my-password

train

0

58e3d249b9c2a72a6dc261ee7f5617ccec5da1a1

[ "super(MuninnRouter, self).__init__(*args, **kwargs)\nroute_kwargs = {'url': u'^{prefix}/(?P<product_type>[^/.]+)/(?P<product_name>[^/.]+){trailing_slash}$', 'mapping': {u'put': u'update', u'delete': u'destroy', u'patch': u'partial_update', u'get': u'retrieve'}, 'name': u'{basename}-detail', 'detail': True, 'initkw...

<|body_start_0|> super(MuninnRouter, self).__init__(*args, **kwargs) route_kwargs = {'url': u'^{prefix}/(?P<product_type>[^/.]+)/(?P<product_name>[^/.]+){trailing_slash}$', 'mapping': {u'put': u'update', u'delete': u'destroy', u'patch': u'partial_update', u'get': u'retrieve'}, 'name': u'{basename}-detai...

MuninnRouter

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MuninnRouter: def __init__(self, muninn_archive=None, *args, **kwargs): """`muninn_archive` specifies an archive (defined in the settings) that will be registered automatically. Use as a shorthand for use cases whre there is only one archive to be served under a URL path.""" <|bo...

stack_v2_sparse_classes_75kplus_train_009467

2,088

permissive

[ { "docstring": "`muninn_archive` specifies an archive (defined in the settings) that will be registered automatically. Use as a shorthand for use cases whre there is only one archive to be served under a URL path.", "name": "__init__", "signature": "def __init__(self, muninn_archive=None, *args, **kwarg...

2

stack_v2_sparse_classes_30k_train_044644

Implement the Python class `MuninnRouter` described below. Class description: Implement the MuninnRouter class. Method signatures and docstrings: - def __init__(self, muninn_archive=None, *args, **kwargs): `muninn_archive` specifies an archive (defined in the settings) that will be registered automatically. Use as a ...

6a148ece961d4906b85f5864feff6151db370537

<|skeleton|> class MuninnRouter: def __init__(self, muninn_archive=None, *args, **kwargs): """`muninn_archive` specifies an archive (defined in the settings) that will be registered automatically. Use as a shorthand for use cases whre there is only one archive to be served under a URL path.""" <|bo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MuninnRouter: def __init__(self, muninn_archive=None, *args, **kwargs): """`muninn_archive` specifies an archive (defined in the settings) that will be registered automatically. Use as a shorthand for use cases whre there is only one archive to be served under a URL path.""" super(MuninnRouter...

the_stack_v2_python_sparse

muninn_django/routers.py

stcorp/muninn-django

train

1

4e39c062fb33e2f8a77f52961eef1c3eb7c4fd7a

[ "from atom import Atom\nself._center = Atom('atomic')\nself._center.position = center\nself._radius = radius", "distance_from_surface = abs(self._radius - distance(atom, self._center))\nif distance_from_surface <= cutoff_distance:\n return True\nelse:\n return False", "distance_from_center = distance(atom...

Write Later

Sphere

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009468

8,615

no_license

[ { "docstring": "Write Later", "name": "__init__", "signature": "def __init__(self, center, radius)" }, { "docstring": "Write Later", "name": "nearest_neighbor", "signature": "def nearest_neighbor(self, atom, cutoff_distance)" }, { "docstring": "Write Later", "name": "in_shape...

4

stack_v2_sparse_classes_30k_train_003882

Implement the Python class `Sphere` described below. Class description: Write Later Method signatures and docstrings: - def __init__(self, center, radius): Write Later - def nearest_neighbor(self, atom, cutoff_distance): Write Later - def in_shape(self, atom): Write Later - def random_position_on_surface(self, cutoff...

602c292f30398fd7f80accce6b436af3799b00c9

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Sphere: """Write Later""" def __init__(self, center, radius): """Write Later""" from atom import Atom self._center = Atom('atomic') self._center.position = center self._radius = radius def nearest_neighbor(self, atom, cutoff_distance): """Write Later""...

the_stack_v2_python_sparse

space.py

drzeus99/lmpsdata2

train

0

9c9bb8db59455eae6ea4872ef9057a3ad6147e70

[ "res = []\nfor i in range(len(nums)):\n target = -1 * nums[i]\n for j in nums[i + 1:]:\n dic[nums[j]] = j\n if two:\n sol = [nums[i], nums[two[0] + i + 1], nums[two[1] + i + 1]]\n sol.sort()\n if sol not in res:\n res.append(sol)\nreturn res", "dic = dict()\nfor i i...

<|body_start_0|> res = [] for i in range(len(nums)): target = -1 * nums[i] for j in nums[i + 1:]: dic[nums[j]] = j if two: sol = [nums[i], nums[two[0] + i + 1], nums[two[1] + i + 1]] sol.sort() if sol not...

Solution

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009469

936

no_license

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

2

stack_v2_sparse_classes_30k_train_033818

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

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

16e8a7935811fa71ce71998da8549e29ba68f847

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def threeSum(self, nums): """:type nums: List[int] :rtype: List[List[int]]""" res = [] for i in range(len(nums)): target = -1 * nums[i] for j in nums[i + 1:]: dic[nums[j]] = j if two: sol = [nums[i], nums[two...

the_stack_v2_python_sparse

leetcode/threeSum.py

lizyang95/leetcode

train

0

a71866d5049b9b675fa61fd7d9bad96c63f8fea6

[ "try:\n payload = {'exp': datetime.datetime.utcnow() + datetime.timedelta(days=0, seconds=10), 'iat': datetime.datetime.utcnow(), 'iss': 'ken', 'data': {'id': user_id, 'login_time': login_time}}\n return jwt.encode(payload, current_app.config['SECRET_KEY'], algorithm='HS256')\nexcept Exception as e:\n retu...

<|body_start_0|> try: payload = {'exp': datetime.datetime.utcnow() + datetime.timedelta(days=0, seconds=10), 'iat': datetime.datetime.utcnow(), 'iss': 'ken', 'data': {'id': user_id, 'login_time': login_time}} return jwt.encode(payload, current_app.config['SECRET_KEY'], algorithm='HS256')...

Auth

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009470

3,044

no_license

[ { "docstring": "生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string", "name": "encode_auth_token", "signature": "def encode_auth_token(user_id, login_time)" }, { "docstring": "验证Token :param auth_token: :return: integer|string", "name": "decode_auth_token", "s...

3

stack_v2_sparse_classes_30k_train_033429

Implement the Python class `Auth` described below. Class description: Implement the Auth class. Method signatures and docstrings: - def encode_auth_token(user_id, login_time): 生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string - def decode_auth_token(auth_token): 验证Token :param auth_token...

121fb26d816da0f76df8083d2fd37ca92c904338

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Auth: def encode_auth_token(user_id, login_time): """生成认证Token :param user_id: int :param login_time: int(timestamp) :return: string""" try: payload = {'exp': datetime.datetime.utcnow() + datetime.timedelta(days=0, seconds=10), 'iat': datetime.datetime.utcnow(), 'iss': 'ken', 'data...

the_stack_v2_python_sparse

train_module/src/Data_Processing/DataSet/token/auths.py

limingzhang513/lmzrepository

train

0

2985d549b7984a80d3b46b5ac78dd31e6fad6e8a

[ "try:\n return getattr(cls, endpoint).request_cls\nexcept AttributeError:\n raise MessageException('Unknown endpoint.')", "try:\n return getattr(cls, endpoint).response_cls\nexcept AttributeError:\n raise MessageException('Unknown endpoint.')" ]

Factory for holding message types.

MessageFactory

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MessageFactory: """Factory for holding message types.""" def get_request_type(cls, endpoint: str): """Return class representing the request_cls for given endpoint.""" <|body_0|> def get_response_type(cls, endpoint: str): """Return class representing the response_...

stack_v2_sparse_classes_75kplus_train_009471

38,983

permissive

[ { "docstring": "Return class representing the request_cls for given endpoint.", "name": "get_request_type", "signature": "def get_request_type(cls, endpoint: str)" }, { "docstring": "Return class representing the response_cls for given endpoint.", "name": "get_response_type", "signature"...

2

stack_v2_sparse_classes_30k_train_015869

Implement the Python class `MessageFactory` described below. Class description: Factory for holding message types. Method signatures and docstrings: - def get_request_type(cls, endpoint: str): Return class representing the request_cls for given endpoint. - def get_response_type(cls, endpoint: str): Return class repre...

2e751ed84039259a2b138148eae204c877518950

<|skeleton|> class MessageFactory: """Factory for holding message types.""" def get_request_type(cls, endpoint: str): """Return class representing the request_cls for given endpoint.""" <|body_0|> def get_response_type(cls, endpoint: str): """Return class representing the response_...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MessageFactory: """Factory for holding message types.""" def get_request_type(cls, endpoint: str): """Return class representing the request_cls for given endpoint.""" try: return getattr(cls, endpoint).request_cls except AttributeError: raise MessageExcepti...

the_stack_v2_python_sparse

src/oic/oauth2/message.py

peppelinux/pyoidc

train

1

f4443349b2b6f642bed4bb0e00428038f65076f6

[ "self.game_config = game_config\nself.games = None\nself.batch_size = 0", "if not games:\n self.games = [i + 1 for i in range(self.game_config.game.max_game_id, self.game_config.game.max_eval_game_id)]\n self.batch_size = len(self.games)\nelse:\n self.games = games\n self.batch_size = len(games)", "...

This class is responsible evaluating the population across a set of games.

EvaluationEnv

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EvaluationEnv: """This class is responsible evaluating the population across a set of games.""" def __init__(self, game_config: Config): """The evaluator is given a set of genomes which it then evaluates using the MultiEnvironment.""" <|body_0|> def set_games(self, games...

stack_v2_sparse_classes_75kplus_train_009472

5,850

permissive

[ { "docstring": "The evaluator is given a set of genomes which it then evaluates using the MultiEnvironment.", "name": "__init__", "signature": "def __init__(self, game_config: Config)" }, { "docstring": "Set the game-IDs that will be used to evaluate the population. The full game-set as defined ...

4

null

Implement the Python class `EvaluationEnv` described below. Class description: This class is responsible evaluating the population across a set of games. Method signatures and docstrings: - def __init__(self, game_config: Config): The evaluator is given a set of genomes which it then evaluates using the MultiEnvironm...

334d7b9cab0edb22d4670cfaf39fbed76c351758

<|skeleton|> class EvaluationEnv: """This class is responsible evaluating the population across a set of games.""" def __init__(self, game_config: Config): """The evaluator is given a set of genomes which it then evaluates using the MultiEnvironment.""" <|body_0|> def set_games(self, games...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class EvaluationEnv: """This class is responsible evaluating the population across a set of games.""" def __init__(self, game_config: Config): """The evaluator is given a set of genomes which it then evaluates using the MultiEnvironment.""" self.game_config = game_config self.games = No...

the_stack_v2_python_sparse

environment/env_evaluation.py

RubenPants/RobotSimulator2D

train

0

d63e24a12e3ce0c526f90de101e66f3dbfba1a80

[ "res = []\n\ndef dfs(node):\n if not node:\n return\n res.append(str(node.val))\n res.append(str(len(node.children or [])))\n if node.children:\n for child in node.children:\n dfs(child)\ndfs(root)\nreturn '#'.join(res)", "if not data:\n return None\ndata = iter(data.split(...

<|body_start_0|> res = [] def dfs(node): if not node: return res.append(str(node.val)) res.append(str(len(node.children or []))) if node.children: for child in node.children: dfs(child) dfs(root)...

Codec1

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009473

4,054

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

stack_v2_sparse_classes_30k_train_041496

Implement the Python class `Codec1` described below. Class description: Implement the Codec1 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 t...

44765a7d89423b7ec2c159f70b1a6f6e446523c2

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Codec1: def serialize(self, root: 'Node') -> str: """Encodes a tree to a single string. :type root: Node :rtype: str""" res = [] def dfs(node): if not node: return res.append(str(node.val)) res.append(str(len(node.children or []))) ...

the_stack_v2_python_sparse

python/_0001_0500/0428_serialize-and-deserialize-n-ary-tree.py

Wang-Yann/LeetCodeMe

train

0

0d6e5ee3cc02ede6de613b9c96492372e087416d

[ "self.pr = pr\nself.retEvent = False if events is None else True\nself.events = events", "res = random.random() < self.pr\nif self.retEvent:\n res = self.events[0] if res else self.events[1]\nreturn res" ]

bernoulli trial sampler return True or False

BernoulliTrialSampler

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009474

32,264

permissive

[ { "docstring": "initializer Parameters pr : probability events : event values", "name": "__init__", "signature": "def __init__(self, pr, events=None)" }, { "docstring": "samples value", "name": "sample", "signature": "def sample(self)" } ]

2

stack_v2_sparse_classes_30k_train_007033

Implement the Python class `BernoulliTrialSampler` described below. Class description: bernoulli trial sampler return True or False Method signatures and docstrings: - def __init__(self, pr, events=None): initializer Parameters pr : probability events : event values - def sample(self): samples value

Implement the Python class `BernoulliTrialSampler` described below. Class description: bernoulli trial sampler return True or False Method signatures and docstrings: - def __init__(self, pr, events=None): initializer Parameters pr : probability events : event values - def sample(self): samples value <|skeleton|> cla...

861fd06b6b7abaffe5e8ca795136ab0fbb2234b5

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BernoulliTrialSampler: """bernoulli trial sampler return True or False""" def __init__(self, pr, events=None): """initializer Parameters pr : probability events : event values""" self.pr = pr self.retEvent = False if events is None else True self.events = events def s...

the_stack_v2_python_sparse

matumizi/matumizi/sampler.py

pranab/whakapai

train

18

4420faa3fef2e2c25e658043004a198c1468c048

[ "self.lang = 'polish'\nself.region = 'pl'\nself.offline = offline\nabs_path = os.path.dirname(os.path.abspath(__file__))\nwith open(os.path.join(abs_path, self.path_key), 'r') as f:\n self.api_key = f.read()\nself.client = googlemaps.Client(key=self.api_key)", "print('Requesting geolocation of: ', addr)\nif se...

<|body_start_0|> self.lang = 'polish' self.region = 'pl' self.offline = offline abs_path = os.path.dirname(os.path.abspath(__file__)) with open(os.path.join(abs_path, self.path_key), 'r') as f: self.api_key = f.read() self.client = googlemaps.Client(key=self.a...

GMaps

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GMaps: def __init__(self, offline=False): """Initialize GMaps object. Read API key. `offline` arg can be set to True if you want to test code using this object.""" <|body_0|> def get_location(self, addr): """Do the request to GMaps and extract latitude and longitude ...

stack_v2_sparse_classes_75kplus_train_009475

5,343

no_license

[ { "docstring": "Initialize GMaps object. Read API key. `offline` arg can be set to True if you want to test code using this object.", "name": "__init__", "signature": "def __init__(self, offline=False)" }, { "docstring": "Do the request to GMaps and extract latitude and longitude of given place....

4

stack_v2_sparse_classes_30k_train_046758

Implement the Python class `GMaps` described below. Class description: Implement the GMaps class. Method signatures and docstrings: - def __init__(self, offline=False): Initialize GMaps object. Read API key. `offline` arg can be set to True if you want to test code using this object. - def get_location(self, addr): D...

d9209f20073d075ae7150250cb1a369f8cb215b7

<|skeleton|> class GMaps: def __init__(self, offline=False): """Initialize GMaps object. Read API key. `offline` arg can be set to True if you want to test code using this object.""" <|body_0|> def get_location(self, addr): """Do the request to GMaps and extract latitude and longitude ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GMaps: def __init__(self, offline=False): """Initialize GMaps object. Read API key. `offline` arg can be set to True if you want to test code using this object.""" self.lang = 'polish' self.region = 'pl' self.offline = offline abs_path = os.path.dirname(os.path.abspath(...

the_stack_v2_python_sparse

Experiments/CVRP_DWave/2018_10_19_benchmark_small_csvrp/src/vrp_solver_subtree/src/gmaps.py

BOHRTECHNOLOGY/public_research

train

17

c57f1160fb160f8e68a0ec2500ffeb2c7f442ab7

[ "n = len(nums1)\nm = len(nums2)\ni = -1\nj = 0\nans = []\nwhile k:\n ch = []\n if 0 <= i + 1 < n and 0 <= j < m:\n ch.append((nums1[i + 1] + nums2[j], i + 1, 0, nums1[i + 1], nums2[j]))\n if 0 <= j + 1 < m and 0 <= i < n:\n ch.append((nums1[i] + nums2[j + 1], 0, j + 1, nums1[i], nums2[j + 1])...

<|body_start_0|> n = len(nums1) m = len(nums2) i = -1 j = 0 ans = [] while k: ch = [] if 0 <= i + 1 < n and 0 <= j < m: ch.append((nums1[i + 1] + nums2[j], i + 1, 0, nums1[i + 1], nums2[j])) if 0 <= j + 1 < m and 0 <= i ...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def kSmallestPairsWA(self, nums1, nums2, k): """:type nums1: List[int] :type nums2: List[int] :type k: int :rtype: List[List[int]]""" <|body_0|> def kSmallestPairs(self, nums1, nums2, k): """:type nums1: List[int] :type nums2: List[int] :type k: int :rtype:...

stack_v2_sparse_classes_75kplus_train_009476

2,425

no_license

[ { "docstring": ":type nums1: List[int] :type nums2: List[int] :type k: int :rtype: List[List[int]]", "name": "kSmallestPairsWA", "signature": "def kSmallestPairsWA(self, nums1, nums2, k)" }, { "docstring": ":type nums1: List[int] :type nums2: List[int] :type k: int :rtype: List[List[int]]", ...

2

stack_v2_sparse_classes_30k_train_027718

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def kSmallestPairsWA(self, nums1, nums2, k): :type nums1: List[int] :type nums2: List[int] :type k: int :rtype: List[List[int]] - def kSmallestPairs(self, nums1, nums2, k): :type...

02ebe56cd92b9f4baeee132c5077892590018650

<|skeleton|> class Solution: def kSmallestPairsWA(self, nums1, nums2, k): """:type nums1: List[int] :type nums2: List[int] :type k: int :rtype: List[List[int]]""" <|body_0|> def kSmallestPairs(self, nums1, nums2, k): """:type nums1: List[int] :type nums2: List[int] :type k: int :rtype:...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def kSmallestPairsWA(self, nums1, nums2, k): """:type nums1: List[int] :type nums2: List[int] :type k: int :rtype: List[List[int]]""" n = len(nums1) m = len(nums2) i = -1 j = 0 ans = [] while k: ch = [] if 0 <= i + 1 < n...

the_stack_v2_python_sparse

python/leetcode.373.py

CalvinNeo/LeetCode

train

3

ed4a8d4e4bac5645ff2541d4a57d40adafd1545b

[ "self.graph_creator = create_molecular_torch_geometric_graph\nsuper().__init__(data_path, properties=properties, sanitize=sanitize, file_geometries=file_geometries, optimize_molecule=optimize_molecule)\nself.dataset = TorchGeometricGraphDataset(self.molecular_graphs)\nself.data_loader_fun = tg.data.DataLoader", "...

<|body_start_0|> self.graph_creator = create_molecular_torch_geometric_graph super().__init__(data_path, properties=properties, sanitize=sanitize, file_geometries=file_geometries, optimize_molecule=optimize_molecule) self.dataset = TorchGeometricGraphDataset(self.molecular_graphs) self.d...

Data loader for graph data.

TorchGeometricGraphData

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class TorchGeometricGraphData: """Data loader for graph data.""" def __init__(self, data_path: PathLike, properties: Optional[Union[str, List[str]]]=None, sanitize: bool=True, file_geometries: Optional[PathLike]=None, optimize_molecule: bool=False) -> None: """Generate a dataset using grap...

stack_v2_sparse_classes_75kplus_train_009477

3,077

permissive

[ { "docstring": "Generate a dataset using graphs Parameters ---------- data_path path of the csv file properties Labels names sanitize Check that molecules have a valid conformer file_geometries Path to a file with the geometries in PDB format optimize_molecule Optimize the geometry if the ``file_geometries`` is...

2

stack_v2_sparse_classes_30k_train_039991

Implement the Python class `TorchGeometricGraphData` described below. Class description: Data loader for graph data. Method signatures and docstrings: - def __init__(self, data_path: PathLike, properties: Optional[Union[str, List[str]]]=None, sanitize: bool=True, file_geometries: Optional[PathLike]=None, optimize_mol...

4edc9dc363ce901b1fcc19444bec42fc5930c4b9

<|skeleton|> class TorchGeometricGraphData: """Data loader for graph data.""" def __init__(self, data_path: PathLike, properties: Optional[Union[str, List[str]]]=None, sanitize: bool=True, file_geometries: Optional[PathLike]=None, optimize_molecule: bool=False) -> None: """Generate a dataset using grap...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class TorchGeometricGraphData: """Data loader for graph data.""" def __init__(self, data_path: PathLike, properties: Optional[Union[str, List[str]]]=None, sanitize: bool=True, file_geometries: Optional[PathLike]=None, optimize_molecule: bool=False) -> None: """Generate a dataset using graphs Parameters...

the_stack_v2_python_sparse

swan/dataset/torch_geometric_graph_data.py

nlesc-nano/swan

train

15

1ea85f28bec44c722a4c462ac6f3ff6194964709

[ "if isinstance(interval, int):\n self._i = interval\nelif isinstance(int(interval), int):\n self._i = int(interval)\nif self._i < 0:\n raise ValueError('interval should be positive')", "if self._check_compute_input(values, pressure_values) == False:\n return np.array(values)\nl = len(values)\nvalues =...

Simple in-place moving average. This class implements the classic moving average algorithm. Each sample will be summed with all the samples in the interval and the sum will be divided by the length of the interval, then the result will replace the value of the sample and the algorithm will evaluate the next interval.

MovingAverage

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class MovingAverage: """Simple in-place moving average. This class implements the classic moving average algorithm. Each sample will be summed with all the samples in the interval and the sum will be divided by the length of the interval, then the result will replace the value of the sample and the alg...

stack_v2_sparse_classes_75kplus_train_009478

6,931

no_license

[ { "docstring": "MovingAverage class constructor. Args: - *interval*: the interval of samples to consider. Raises: - ValueError if interval is negative.", "name": "__init__", "signature": "def __init__(self, interval)" }, { "docstring": "Returns the moving average on values. Args: - *values*: the...

2

stack_v2_sparse_classes_30k_train_011631

Implement the Python class `MovingAverage` described below. Class description: Simple in-place moving average. This class implements the classic moving average algorithm. Each sample will be summed with all the samples in the interval and the sum will be divided by the length of the interval, then the result will repl...

985f34c2214ea55cd4d324704847d5a0d2a9de1e

<|skeleton|> class MovingAverage: """Simple in-place moving average. This class implements the classic moving average algorithm. Each sample will be summed with all the samples in the interval and the sum will be divided by the length of the interval, then the result will replace the value of the sample and the alg...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class MovingAverage: """Simple in-place moving average. This class implements the classic moving average algorithm. Each sample will be summed with all the samples in the interval and the sum will be divided by the length of the interval, then the result will replace the value of the sample and the algorithm will e...

the_stack_v2_python_sparse

mhelpers/mean.py

inogs/bit.sea

train

4

58139f73f8f81555ffe1858f5d94ca1603dbca3b

[ "participant_models = []\nParticipantModel = model_init_service.ModelService.get_participant_model_class()\nfor participant in participants:\n user_name = participant.get('name', '')\n session_dates = SessionDateModelHelper.create_session_date_models(participant.get('leaveSessions'))\n session_conut_dict =...

<|body_start_0|> participant_models = [] ParticipantModel = model_init_service.ModelService.get_participant_model_class() for participant in participants: user_name = participant.get('name', '') session_dates = SessionDateModelHelper.create_session_date_models(participant...

Class encapsulating methods which handles the operations on participants models

ParticipantModelHelper

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ParticipantModelHelper: """Class encapsulating methods which handles the operations on participants models""" def create_participant_models(self, participants: List[Dict[str, List[Dict[datetime.date, List[str]]]]], sessions_list: List[str]): """Method to create List of participant mo...

stack_v2_sparse_classes_75kplus_train_009479

1,682

permissive

[ { "docstring": "Method to create List of participant models", "name": "create_participant_models", "signature": "def create_participant_models(self, participants: List[Dict[str, List[Dict[datetime.date, List[str]]]]], sessions_list: List[str])" }, { "docstring": "This method creates a dict which...

2

null

Implement the Python class `ParticipantModelHelper` described below. Class description: Class encapsulating methods which handles the operations on participants models Method signatures and docstrings: - def create_participant_models(self, participants: List[Dict[str, List[Dict[datetime.date, List[str]]]]], sessions_...

23131aff6e0c20497bde632ed32aadcad0947e56

<|skeleton|> class ParticipantModelHelper: """Class encapsulating methods which handles the operations on participants models""" def create_participant_models(self, participants: List[Dict[str, List[Dict[datetime.date, List[str]]]]], sessions_list: List[str]): """Method to create List of participant mo...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ParticipantModelHelper: """Class encapsulating methods which handles the operations on participants models""" def create_participant_models(self, participants: List[Dict[str, List[Dict[datetime.date, List[str]]]]], sessions_list: List[str]): """Method to create List of participant models""" ...

the_stack_v2_python_sparse

roster-backend/roster_project/roster_api/utils/helpers/business_helpers/model_helpers/participant_model_helper.py

akhilanil/roster

train

0

2b95c81167a9c8ad2b419ba7df2b789271935d7a

[ "if value <= 0:\n raise ValueError(f'Log file size should be > 0 MB, passed value {value}')\nsuper().put(value)", "log_file_size = super().get()\nassert log_file_size > 0, '`LogFileSize` should be > 0'\nreturn log_file_size" ]

<|body_start_0|> if value <= 0: raise ValueError(f'Log file size should be > 0 MB, passed value {value}') super().put(value) <|end_body_0|> <|body_start_1|> log_file_size = super().get() assert log_file_size > 0, '`LogFileSize` should be > 0' return log_file_size <|e...

Max size of logs (in MBs) to store per Modin job.

LogFileSize

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class LogFileSize: """Max size of logs (in MBs) to store per Modin job.""" def put(cls, value: int) -> None: """Set ``LogFileSize`` with extra checks. Parameters ---------- value : int Config value to set.""" <|body_0|> def get(cls) -> int: """Get ``LogFileSize`` with ...

stack_v2_sparse_classes_75kplus_train_009480

21,244

permissive

[ { "docstring": "Set ``LogFileSize`` with extra checks. Parameters ---------- value : int Config value to set.", "name": "put", "signature": "def put(cls, value: int) -> None" }, { "docstring": "Get ``LogFileSize`` with extra checks. Returns ------- int", "name": "get", "signature": "def ...

2

null

Implement the Python class `LogFileSize` described below. Class description: Max size of logs (in MBs) to store per Modin job. Method signatures and docstrings: - def put(cls, value: int) -> None: Set ``LogFileSize`` with extra checks. Parameters ---------- value : int Config value to set. - def get(cls) -> int: Get ...

8f6e00378e095817deccd25f4140406c5ee6c992

<|skeleton|> class LogFileSize: """Max size of logs (in MBs) to store per Modin job.""" def put(cls, value: int) -> None: """Set ``LogFileSize`` with extra checks. Parameters ---------- value : int Config value to set.""" <|body_0|> def get(cls) -> int: """Get ``LogFileSize`` with ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class LogFileSize: """Max size of logs (in MBs) to store per Modin job.""" def put(cls, value: int) -> None: """Set ``LogFileSize`` with extra checks. Parameters ---------- value : int Config value to set.""" if value <= 0: raise ValueError(f'Log file size should be > 0 MB, passed v...

the_stack_v2_python_sparse

modin/config/envvars.py

modin-project/modin

train

9,241

6e37b1348c1be40e545799b6bc4e433b804de5af

[ "self.__author__ = 'GodSaveTheDoge'\nself.selector = '#mw-content-text li , p'\nself.url = 'https://{}.wikipedia.org/wiki/{}'\nself.apiurl = 'https://en.wikipedia.org/w/api.php?action=query&titles={}&format=json'", "if '-1' in requests.get(self.apiurl.format(page)).json()['query']['pages']:\n return False\nret...

<|body_start_0|> self.__author__ = 'GodSaveTheDoge' self.selector = '#mw-content-text li , p' self.url = 'https://{}.wikipedia.org/wiki/{}' self.apiurl = 'https://en.wikipedia.org/w/api.php?action=query&titles={}&format=json' <|end_body_0|> <|body_start_1|> if '-1' in requests.g...

Wikipedia

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009481

1,240

no_license

[ { "docstring": "You can use this class to look up a page on wikipedia", "name": "__init__", "signature": "def __init__(self) -> None" }, { "docstring": "Check if a page exists :param page: url of the page :return:", "name": "exists", "signature": "def exists(self, page: str) -> bool" }...

3

stack_v2_sparse_classes_30k_train_029686

Implement the Python class `Wikipedia` described below. Class description: Implement the Wikipedia class. Method signatures and docstrings: - def __init__(self) -> None: You can use this class to look up a page on wikipedia - def exists(self, page: str) -> bool: Check if a page exists :param page: url of the page :re...

cc0db796c5516b36e82ef6f70c5649902366df62

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Wikipedia: def __init__(self) -> None: """You can use this class to look up a page on wikipedia""" self.__author__ = 'GodSaveTheDoge' self.selector = '#mw-content-text li , p' self.url = 'https://{}.wikipedia.org/wiki/{}' self.apiurl = 'https://en.wikipedia.org/w/api.ph...

the_stack_v2_python_sparse

methods/Wiki.py

ankit-sinha-18/MultiUserbot

train

0

d1cf2693d6534155191cf92b85d6544d2c307cd2

[ "data = np.array([[1, 2, 3], [2, 4, 6], [5, 10, 15]])\nself.cube = set_up_variable_cube(data, 'wind_speed', 'm s-1', 'equalarea', realizations=np.array([1, 2]))\nself.plugin = DifferenceBetweenAdjacentGridSquares()", "expected_x = np.array([[1, 1], [2, 2], [5, 5]])\nexpected_y = np.array([[1, 2, 3], [3, 6, 9]])\n...

Test the process method.

Test_process

[ "BSD-3-Clause", "LicenseRef-scancode-proprietary-license" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009482

8,701

permissive

[ { "docstring": "Set up cube.", "name": "setUp", "signature": "def setUp(self)" }, { "docstring": "Test that differences are calculated along both the x and y dimensions and returned as separate cubes.", "name": "test_basic", "signature": "def test_basic(self)" }, { "docstring": "...

4

stack_v2_sparse_classes_30k_val_001709

Implement the Python class `Test_process` described below. Class description: Test the process method. Method signatures and docstrings: - def setUp(self): Set up cube. - def test_basic(self): Test that differences are calculated along both the x and y dimensions and returned as separate cubes. - def test_metadata(se...

cd2c9019944345df1e703bf8f625db537ad9f559

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Test_process: """Test the process method.""" def setUp(self): """Set up cube.""" data = np.array([[1, 2, 3], [2, 4, 6], [5, 10, 15]]) self.cube = set_up_variable_cube(data, 'wind_speed', 'm s-1', 'equalarea', realizations=np.array([1, 2])) self.plugin = DifferenceBetweenAd...

the_stack_v2_python_sparse

improver_tests/utilities/test_DifferenceBetweenAdjacentGridSquares.py

metoppv/improver

train

101

b41e041d7e7aca67a81e717c028ebbb18df491ab

[ "if not head:\n return None\nstack = deque()\nbegin = start = ListNode()\nstart.next = head\ncnt = 0\nleft_ptr = None\nright_ptr = None\nwhile start:\n cnt = cnt + 1\n if cnt < left:\n start = start.next\n continue\n if cnt == left:\n left_ptr = start\n if cnt == right:\n ...

<|body_start_0|> if not head: return None stack = deque() begin = start = ListNode() start.next = head cnt = 0 left_ptr = None right_ptr = None while start: cnt = cnt + 1 if cnt < left: start = start.next...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def reverseBetween(self, head: Optional[ListNode], left: int, right: int) -> Optional[ListNode]: """reverse with the help of a stack :param head: :param left: :param right: :return:""" <|body_0|> def reverseBetween_v2(self, head: Optional[ListNode], left: int, righ...

stack_v2_sparse_classes_75kplus_train_009483

3,084

no_license

[ { "docstring": "reverse with the help of a stack :param head: :param left: :param right: :return:", "name": "reverseBetween", "signature": "def reverseBetween(self, head: Optional[ListNode], left: int, right: int) -> Optional[ListNode]" }, { "docstring": "reverse using subroutine :param head: :p...

3

stack_v2_sparse_classes_30k_train_042075

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def reverseBetween(self, head: Optional[ListNode], left: int, right: int) -> Optional[ListNode]: reverse with the help of a stack :param head: :param left: :param right: :return:...

46bd8d1b44cb19aa773cc072cc9be97e9a0e348d

<|skeleton|> class Solution: def reverseBetween(self, head: Optional[ListNode], left: int, right: int) -> Optional[ListNode]: """reverse with the help of a stack :param head: :param left: :param right: :return:""" <|body_0|> def reverseBetween_v2(self, head: Optional[ListNode], left: int, righ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def reverseBetween(self, head: Optional[ListNode], left: int, right: int) -> Optional[ListNode]: """reverse with the help of a stack :param head: :param left: :param right: :return:""" if not head: return None stack = deque() begin = start = ListNode() ...

the_stack_v2_python_sparse

src/python/data_structure/linked_list/92_reverse_linkedlist2.py

alannesta/algo4

train

0

ffb1dac782305e50e060985045b4dce987b9048c

[ "Sprite.__init__(self, pygame.image.load('Resources/sprites/deer.png'), image_rect, 'deer')\nself.speed = 24\nself.radius = 100\nself.runningAway = False\nGlobal.deer_group.add_internal(self)", "Sprite.button_ops(self)\nif self.health_monitor():\n return\nif not self.flee():\n self.runningAway = False\n ...

Deer sprite class

DeerSprite

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class DeerSprite: """Deer sprite class""" def __init__(self, image_rect): """Calls Spite.init as super Sets speed, radius and runningAway (a boolean) Adds to global deer_group""" <|body_0|> def update(self): """Updates the deer sprite Either dies, runs away from a wolf...

stack_v2_sparse_classes_75kplus_train_009484

6,365

no_license

[ { "docstring": "Calls Spite.init as super Sets speed, radius and runningAway (a boolean) Adds to global deer_group", "name": "__init__", "signature": "def __init__(self, image_rect)" }, { "docstring": "Updates the deer sprite Either dies, runs away from a wolf, calls Sprite.hunt for plants or ca...

4

null

Implement the Python class `DeerSprite` described below. Class description: Deer sprite class Method signatures and docstrings: - def __init__(self, image_rect): Calls Spite.init as super Sets speed, radius and runningAway (a boolean) Adds to global deer_group - def update(self): Updates the deer sprite Either dies, ...

d973d8344c23158c6c76d2a7b26a83d429106b85

<|skeleton|> class DeerSprite: """Deer sprite class""" def __init__(self, image_rect): """Calls Spite.init as super Sets speed, radius and runningAway (a boolean) Adds to global deer_group""" <|body_0|> def update(self): """Updates the deer sprite Either dies, runs away from a wolf...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DeerSprite: """Deer sprite class""" def __init__(self, image_rect): """Calls Spite.init as super Sets speed, radius and runningAway (a boolean) Adds to global deer_group""" Sprite.__init__(self, pygame.image.load('Resources/sprites/deer.png'), image_rect, 'deer') self.speed = 24 ...

the_stack_v2_python_sparse

Sprites/DeerSprite.py

EcoSimulator/EcoSim

train

0

7053b84b914ea3600bb61ec71fe3e3d752c928a5

[ "self.sharedVarName = sharedVarName\ntry:\n self.bbVarType = bbVarType\n self.rosMsgType = bridge_utils.BB2ROS_TYPE_MAP[self.bbVarType][1]\n self.rosPublisher = rospy.Publisher(self.sharedVarName, self.rosMsgType, queue_size=1000)\n rospy.logdebug('ROS publisher \"' + str(self.rosMsgType) + '\" for \"' ...

<|body_start_0|> self.sharedVarName = sharedVarName try: self.bbVarType = bbVarType self.rosMsgType = bridge_utils.BB2ROS_TYPE_MAP[self.bbVarType][1] self.rosPublisher = rospy.Publisher(self.sharedVarName, self.rosMsgType, queue_size=1000) rospy.logdebug('...

Class to bridge the BB Shared Vars to ROS Topics

BB2RosPublisher

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BB2RosPublisher: """Class to bridge the BB Shared Vars to ROS Topics""" def __init__(self, sharedVarName, bbVarType): """Constructor Creates a new BB2ROSPublisher Object. Receives: shredVarName: Name of the shared var to bridge. bbVarType: The type of the var.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus_train_009485

4,802

no_license

[ { "docstring": "Constructor Creates a new BB2ROSPublisher Object. Receives: shredVarName: Name of the shared var to bridge. bbVarType: The type of the var.", "name": "__init__", "signature": "def __init__(self, sharedVarName, bbVarType)" }, { "docstring": "bridge_SV_data Callback for the BB shar...

3

stack_v2_sparse_classes_30k_test_000396

Implement the Python class `BB2RosPublisher` described below. Class description: Class to bridge the BB Shared Vars to ROS Topics Method signatures and docstrings: - def __init__(self, sharedVarName, bbVarType): Constructor Creates a new BB2ROSPublisher Object. Receives: shredVarName: Name of the shared var to bridge...

c2b4de807d5f3a18b317b9b01fdeb0cec3f7327e

<|skeleton|> class BB2RosPublisher: """Class to bridge the BB Shared Vars to ROS Topics""" def __init__(self, sharedVarName, bbVarType): """Constructor Creates a new BB2ROSPublisher Object. Receives: shredVarName: Name of the shared var to bridge. bbVarType: The type of the var.""" <|body_0|> ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BB2RosPublisher: """Class to bridge the BB Shared Vars to ROS Topics""" def __init__(self, sharedVarName, bbVarType): """Constructor Creates a new BB2ROSPublisher Object. Receives: shredVarName: Name of the shared var to bridge. bbVarType: The type of the var.""" self.sharedVarName = shar...

the_stack_v2_python_sparse

catkin_ws/src/interoperation/bbros_bridge/src/bbros_bridge/sv_bridge.py

RobotJustina/JUSTINA

train

7

8c1a3f07977b699cdb70ac5fa35d6a3d0805990f

[ "d = {}\nl = len(nums)\nfor i in range(l):\n d[nums[i]] = d.get(nums[i], 0) + 1\nfor k, v in d.items():\n if v > 1:\n return k", "if len(nums) > 1:\n slow = nums[0]\n fast = nums[nums[0]]\n while slow != fast:\n slow = nums[slow]\n fast = nums[nums[fast]]\n fast = 0\n whi...

<|body_start_0|> d = {} l = len(nums) for i in range(l): d[nums[i]] = d.get(nums[i], 0) + 1 for k, v in d.items(): if v > 1: return k <|end_body_0|> <|body_start_1|> if len(nums) > 1: slow = nums[0] fast = nums[nums...

Solution

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Solution: def findDuplicate(self, nums): """:type nums: List[int] :rtype: int 通常能想到的方案""" <|body_0|> def findDuplicate1(self, nums): """:type nums: List[int] :rtype: int 想象成链表，判断是否有环,利用快慢指针空间复杂度为1，时间复杂度为n [3,1,3,4,2] 首先第一个数字3指向下标3的数字4，数字4指向下标4的数字2 数字2指向下标2的数字3 数字1指...

stack_v2_sparse_classes_75kplus_train_009486

3,381

no_license

[ { "docstring": ":type nums: List[int] :rtype: int 通常能想到的方案", "name": "findDuplicate", "signature": "def findDuplicate(self, nums)" }, { "docstring": ":type nums: List[int] :rtype: int 想象成链表，判断是否有环,利用快慢指针空间复杂度为1，时间复杂度为n [3,1,3,4,2] 首先第一个数字3指向下标3的数字4，数字4指向下标4的数字2 数字2指向下标2的数字3 数字1指向下标1的数字1 举例来说，假...

2

stack_v2_sparse_classes_30k_train_006418

Implement the Python class `Solution` described below. Class description: Implement the Solution class. Method signatures and docstrings: - def findDuplicate(self, nums): :type nums: List[int] :rtype: int 通常能想到的方案 - def findDuplicate1(self, nums): :type nums: List[int] :rtype: int 想象成链表，判断是否有环,利用快慢指针空间复杂度为1，时间复杂度为n ...

069bb0b751ef7f469036b9897436eb5d138ffa24

<|skeleton|> class Solution: def findDuplicate(self, nums): """:type nums: List[int] :rtype: int 通常能想到的方案""" <|body_0|> def findDuplicate1(self, nums): """:type nums: List[int] :rtype: int 想象成链表，判断是否有环,利用快慢指针空间复杂度为1，时间复杂度为n [3,1,3,4,2] 首先第一个数字3指向下标3的数字4，数字4指向下标4的数字2 数字2指向下标2的数字3 数字1指...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Solution: def findDuplicate(self, nums): """:type nums: List[int] :rtype: int 通常能想到的方案""" d = {} l = len(nums) for i in range(l): d[nums[i]] = d.get(nums[i], 0) + 1 for k, v in d.items(): if v > 1: return k def findDuplicate1...

the_stack_v2_python_sparse

算法/数组/寻找重复数.py

RichieSong/algorithm

train

0

e1d1d51b1c9cf3f4788f30e17aeeeaebf2b55977

[ "from dw.api import make, put\nfrom dw.entity.data import image_directory\nput.db_rows(make.data(image_directory)(root, 'clean_fmd_comics'))", "from dw.api import make, put\nfrom dw.db import orm\nfrom dw.entity.data import manga109\nfrom dw.ui import log\norm.init(conn)\nput.db_rows(make.data(manga109)(root))\nl...

Add data to DB (not dataset)

data

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class data: """Add data to DB (not dataset)""" def image_directory(conn, root, note=None): """Add all images of directory into DB. `root` is path of image directory. It must contains images only. If not, it raise assertion error. args: conn: connection str. 'id:pw@host:port/dbname' format....

stack_v2_sparse_classes_75kplus_train_009487

6,458

no_license

[ { "docstring": "Add all images of directory into DB. `root` is path of image directory. It must contains images only. If not, it raise assertion error. args: conn: connection str. 'id:pw@host:port/dbname' format. root: root directory path string of data. note: note for running command. If not None, it is logged...

4

null

Implement the Python class `data` described below. Class description: Add data to DB (not dataset) Method signatures and docstrings: - def image_directory(conn, root, note=None): Add all images of directory into DB. `root` is path of image directory. It must contains images only. If not, it raise assertion error. arg...

a93febf6df4b7cbaf49e90409bbb7fd64bde0fe5

<|skeleton|> class data: """Add data to DB (not dataset)""" def image_directory(conn, root, note=None): """Add all images of directory into DB. `root` is path of image directory. It must contains images only. If not, it raise assertion error. args: conn: connection str. 'id:pw@host:port/dbname' format....

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class data: """Add data to DB (not dataset)""" def image_directory(conn, root, note=None): """Add all images of directory into DB. `root` is path of image directory. It must contains images only. If not, it raise assertion error. args: conn: connection str. 'id:pw@host:port/dbname' format. root: root d...

the_stack_v2_python_sparse

dw/ui/cli.py

KUR-creative/old-2-data-warehouse

train

0

bcad9a059d3f5d5d63688c9fe42f9867532b904d

[ "self.any_permission = any_permission\nself.add_permission = add_permission\nself.change_permission = change_permission\nself.delete_permission = delete_permission", "add_name = self.get_full_permission_string('add')\nchange_name = self.get_full_permission_string('change')\ndelete_name = self.get_full_permission_...

Permission logic class for role based permission system It is checked by user_obj.role

BaseRolePermissionLogic

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BaseRolePermissionLogic: """Permission logic class for role based permission system It is checked by user_obj.role""" def __init__(self, any_permission=False, add_permission=False, change_permission=False, delete_permission=False): """Constructor Parameters ---------- any_permission ...

stack_v2_sparse_classes_75kplus_train_009488

6,884

no_license

[ { "docstring": "Constructor Parameters ---------- any_permission : boolean True for give any permission of the specified object or model to the role. Default value will be `False` add_permission : boolean True for give add permission of the specified model to the role. Default value will be 'False' change_permi...

2

stack_v2_sparse_classes_30k_train_012292

Implement the Python class `BaseRolePermissionLogic` described below. Class description: Permission logic class for role based permission system It is checked by user_obj.role Method signatures and docstrings: - def __init__(self, any_permission=False, add_permission=False, change_permission=False, delete_permission=...

8f9a850c4df41b0fc1da5b73189772552d5cd531

<|skeleton|> class BaseRolePermissionLogic: """Permission logic class for role based permission system It is checked by user_obj.role""" def __init__(self, any_permission=False, add_permission=False, change_permission=False, delete_permission=False): """Constructor Parameters ---------- any_permission ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BaseRolePermissionLogic: """Permission logic class for role based permission system It is checked by user_obj.role""" def __init__(self, any_permission=False, add_permission=False, change_permission=False, delete_permission=False): """Constructor Parameters ---------- any_permission : boolean Tru...

the_stack_v2_python_sparse

src/kawaz/core/personas/perms.py

kawazrepos/Kawaz3rd

train

7

9b5064a672d0fe14038bbd1040b23d0c2811e769

[ "self.size = 10\nself.times = [0 for _ in range(self.size)]\nself.d = collections.defaultdict(set)", "t = timestamp % self.size\nif timestamp != self.times[t]:\n self.d[t] = set()\n self.times[t] = timestamp\nfor i in range(self.size):\n if self.times[i] + 10 > timestamp and message in self.d[i]:\n ...

Logger

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class Logger: def __init__(self): """Initialize your data structure here.""" <|body_0|> def shouldPrintMessage(self, timestamp: int, message: str) -> bool: """Returns true if the message should be printed in the given timestamp, otherwise returns false. If this method retu...

stack_v2_sparse_classes_75kplus_train_009489

2,846

no_license

[ { "docstring": "Initialize your data structure here.", "name": "__init__", "signature": "def __init__(self)" }, { "docstring": "Returns true if the message should be printed in the given timestamp, otherwise returns false. If this method returns false, the message will not be printed. The timest...

2

stack_v2_sparse_classes_30k_train_044129

Implement the Python class `Logger` described below. Class description: Implement the Logger class. Method signatures and docstrings: - def __init__(self): Initialize your data structure here. - def shouldPrintMessage(self, timestamp: int, message: str) -> bool: Returns true if the message should be printed in the gi...

4c1288c99f78823c7c3bac0ceedd532e64af1258

<|skeleton|> class Logger: def __init__(self): """Initialize your data structure here.""" <|body_0|> def shouldPrintMessage(self, timestamp: int, message: str) -> bool: """Returns true if the message should be printed in the given timestamp, otherwise returns false. If this method retu...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Logger: def __init__(self): """Initialize your data structure here.""" self.size = 10 self.times = [0 for _ in range(self.size)] self.d = collections.defaultdict(set) def shouldPrintMessage(self, timestamp: int, message: str) -> bool: """Returns true if the message...

the_stack_v2_python_sparse

Algorithms/0359 Logger Rate Limiter.py

cravo123/LeetCode

train

6

7a55a952afff52b63f99c94e5d131fa3cd31151b

[ "profile = request.user.get_profile()\ntry:\n friendgroup = FriendGroup.objects.get(id=id, owner=profile)\nexcept FriendGroup.DoesNotExist:\n return response.send(errors='Group with ID %s does not exist' % id, status=404)\nmembers = [profile.dict() for profile in friendgroup.members.all()]\nresponse.set(name=...

<|body_start_0|> profile = request.user.get_profile() try: friendgroup = FriendGroup.objects.get(id=id, owner=profile) except FriendGroup.DoesNotExist: return response.send(errors='Group with ID %s does not exist' % id, status=404) members = [profile.dict() for pr...

GroupHandler

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class GroupHandler: def read(self, request, id, response): """Get a group's details by ID API Handler: GET /friends/group/{id}""" <|body_0|> def create(self, request, response): """Create a new Group API Handler: POST /friends/group Params: @name [string] name of the new g...

stack_v2_sparse_classes_75kplus_train_009490

10,549

no_license

[ { "docstring": "Get a group's details by ID API Handler: GET /friends/group/{id}", "name": "read", "signature": "def read(self, request, id, response)" }, { "docstring": "Create a new Group API Handler: POST /friends/group Params: @name [string] name of the new group", "name": "create", ...

4

stack_v2_sparse_classes_30k_train_040886

Implement the Python class `GroupHandler` described below. Class description: Implement the GroupHandler class. Method signatures and docstrings: - def read(self, request, id, response): Get a group's details by ID API Handler: GET /friends/group/{id} - def create(self, request, response): Create a new Group API Hand...

460da9ac57cbac158b9cde816eeddd3f06878d6a

<|skeleton|> class GroupHandler: def read(self, request, id, response): """Get a group's details by ID API Handler: GET /friends/group/{id}""" <|body_0|> def create(self, request, response): """Create a new Group API Handler: POST /friends/group Params: @name [string] name of the new g...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class GroupHandler: def read(self, request, id, response): """Get a group's details by ID API Handler: GET /friends/group/{id}""" profile = request.user.get_profile() try: friendgroup = FriendGroup.objects.get(id=id, owner=profile) except FriendGroup.DoesNotExist: ...

the_stack_v2_python_sparse

webservice_tools/apps/friends/handlers.py

DexterW/django-webservice-tools

train

0

b55236a26d47009d650a3b50b721c9af6b677c13

[ "bin, dev = packager.identify(installation=self)\nself.version, _ = packager.info(package=dev)\nself.psql = 'psql'\nlauncher = 'bin/{.psql}'.format(self)\nbindir = packager.findfirst(target=launcher, contents=packager.contents(package=bin))\nself.bindir = [bindir / 'bin'] if bindir else []\nheader = 'libpq-fe\\\\.h...

<|body_start_0|> bin, dev = packager.identify(installation=self) self.version, _ = packager.info(package=dev) self.psql = 'psql' launcher = 'bin/{.psql}'.format(self) bindir = packager.findfirst(target=launcher, contents=packager.contents(package=bin)) self.bindir = [bind...

A generic postgres installation

Default

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009491

7,944

permissive

[ { "docstring": "Attempt to repair my configuration", "name": "dpkg", "signature": "def dpkg(self, packager)" }, { "docstring": "Attempt to repair my configuration", "name": "macports", "signature": "def macports(self, packager, **kwds)" } ]

2

stack_v2_sparse_classes_30k_train_015709

Implement the Python class `Default` described below. Class description: A generic postgres installation Method signatures and docstrings: - def dpkg(self, packager): Attempt to repair my configuration - def macports(self, packager, **kwds): Attempt to repair my configuration

Implement the Python class `Default` described below. Class description: A generic postgres installation Method signatures and docstrings: - def dpkg(self, packager): Attempt to repair my configuration - def macports(self, packager, **kwds): Attempt to repair my configuration <|skeleton|> class Default: """A gen...

d741c44ffb3e9e1f726bf492202ac8738bb4aa1c

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Default: """A generic postgres installation""" def dpkg(self, packager): """Attempt to repair my configuration""" bin, dev = packager.identify(installation=self) self.version, _ = packager.info(package=dev) self.psql = 'psql' launcher = 'bin/{.psql}'.format(self) ...

the_stack_v2_python_sparse

packages/pyre/externals/Postgres.py

pyre/pyre

train

27

9147e6e42b554b1e4b69e6061abeef698caa2663

[ "article = Article.objects.get(slug=slug)\nbookmark = {}\nbookmark['user'] = self.request.user.id\nbookmark['article'] = article.pk\nserializer = self.serializer_class(data=bookmark)\nserializer.is_valid(raise_exception=True)\nserializer.save()\narticle_serializer = ArticleSerializer(instance=article, context={'req...

<|body_start_0|> article = Article.objects.get(slug=slug) bookmark = {} bookmark['user'] = self.request.user.id bookmark['article'] = article.pk serializer = self.serializer_class(data=bookmark) serializer.is_valid(raise_exception=True) serializer.save() a...

Views for the bookmark functionality

BookmarkAPIView

[ "BSD-3-Clause" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class BookmarkAPIView: """Views for the bookmark functionality""" def post(self, request, slug=None, pk=None): """Create a bookmark method""" <|body_0|> def check_article(self, slug): """Check if article with the pass in slug exists if not :return 404""" <|body...

stack_v2_sparse_classes_75kplus_train_009492

3,951

permissive

[ { "docstring": "Create a bookmark method", "name": "post", "signature": "def post(self, request, slug=None, pk=None)" }, { "docstring": "Check if article with the pass in slug exists if not :return 404", "name": "check_article", "signature": "def check_article(self, slug)" }, { "...

4

stack_v2_sparse_classes_30k_val_001921

Implement the Python class `BookmarkAPIView` described below. Class description: Views for the bookmark functionality Method signatures and docstrings: - def post(self, request, slug=None, pk=None): Create a bookmark method - def check_article(self, slug): Check if article with the pass in slug exists if not :return ...

e8438b78b88c52d108520429d0b67cd3d13e0824

<|skeleton|> class BookmarkAPIView: """Views for the bookmark functionality""" def post(self, request, slug=None, pk=None): """Create a bookmark method""" <|body_0|> def check_article(self, slug): """Check if article with the pass in slug exists if not :return 404""" <|body...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class BookmarkAPIView: """Views for the bookmark functionality""" def post(self, request, slug=None, pk=None): """Create a bookmark method""" article = Article.objects.get(slug=slug) bookmark = {} bookmark['user'] = self.request.user.id bookmark['article'] = article.pk ...

the_stack_v2_python_sparse

authors/apps/bookmarks/views.py

andela/ah-sealteam

train

1

64535387923dab6c9b6dd9b235680647e52ff975

[ "Thread.__init__(self)\nself.command = command\nself.process = None", "self.process = subprocess.Popen(self.command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\ntry:\n _stream_output(self.process)\nexcept RuntimeError as e:\n msg = 'Failed to run: %s, %s' % (self.command, str(e))\n raise RuntimeErro...

Placeholder docstring.

_HostingContainer

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009493

43,196

permissive

[ { "docstring": "Creates a new threaded hosting container. Args: command:", "name": "__init__", "signature": "def __init__(self, command)" }, { "docstring": "Placeholder docstring", "name": "run", "signature": "def run(self)" }, { "docstring": "Placeholder docstring", "name": ...

3

stack_v2_sparse_classes_30k_train_038996

Implement the Python class `_HostingContainer` described below. Class description: Placeholder docstring. Method signatures and docstrings: - def __init__(self, command): Creates a new threaded hosting container. Args: command: - def run(self): Placeholder docstring - def down(self): Placeholder docstring

Implement the Python class `_HostingContainer` described below. Class description: Placeholder docstring. Method signatures and docstrings: - def __init__(self, command): Creates a new threaded hosting container. Args: command: - def run(self): Placeholder docstring - def down(self): Placeholder docstring <|skeleton...

8d5d7fd8ae1a917ed3e2b988d5e533bce244fd85

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class _HostingContainer: """Placeholder docstring.""" def __init__(self, command): """Creates a new threaded hosting container. Args: command:""" Thread.__init__(self) self.command = command self.process = None def run(self): """Placeholder docstring""" self...

the_stack_v2_python_sparse

src/sagemaker/local/image.py

aws/sagemaker-python-sdk

train

2,050

e990cdfd99b2716dec01321ee81cb322c0f0c4ef

[ "from jnius import autoclass, cast\nPythonActivity = autoclass('org.kivy.android.PythonActivity')\nactivity = PythonActivity.mActivity\nif activity is None:\n PythonService = autoclass('org.kivy.android.PythonService')\n activity = PythonService.mService\ncontext = cast('android.content.Context', activity)\nf...

<|body_start_0|> from jnius import autoclass, cast PythonActivity = autoclass('org.kivy.android.PythonActivity') activity = PythonActivity.mActivity if activity is None: PythonService = autoclass('org.kivy.android.PythonService') activity = PythonService.mService ...

EtherollApp

[ "MIT" ]

stack_v2_sparse_python_classes_v1

<|skeleton|> class EtherollApp: def get_files_dir(): """Alternative App._get_user_data_dir() implementation for Android that also works when within a service activity.""" <|body_0|> def _get_user_data_dir(self): """Overrides the default `App._get_user_data_dir()` behavior on Android to...

stack_v2_sparse_classes_75kplus_train_009494

7,618

permissive

[ { "docstring": "Alternative App._get_user_data_dir() implementation for Android that also works when within a service activity.", "name": "get_files_dir", "signature": "def get_files_dir()" }, { "docstring": "Overrides the default `App._get_user_data_dir()` behavior on Android to also work with ...

2

stack_v2_sparse_classes_30k_train_052631

Implement the Python class `EtherollApp` described below. Class description: Implement the EtherollApp class. Method signatures and docstrings: - def get_files_dir(): Alternative App._get_user_data_dir() implementation for Android that also works when within a service activity. - def _get_user_data_dir(self): Overrid...

2ccc30fad736a6fee0cba8b99c521bee6ad13087

<|skeleton|> class EtherollApp: def get_files_dir(): """Alternative App._get_user_data_dir() implementation for Android that also works when within a service activity.""" <|body_0|> def _get_user_data_dir(self): """Overrides the default `App._get_user_data_dir()` behavior on Android to...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class EtherollApp: def get_files_dir(): """Alternative App._get_user_data_dir() implementation for Android that also works when within a service activity.""" from jnius import autoclass, cast PythonActivity = autoclass('org.kivy.android.PythonActivity') activity = PythonActivity.mAct...

the_stack_v2_python_sparse

src/etherollapp/service/main.py

AndreMiras/EtherollApp

train

59

b0ea628baa6110af9330b6544603806266c37bf7

[ "for obj in obj_list['hits']['hits']:\n obj[self.context['object_key']] = self.context['object_schema_cls']().dump(obj)\nreturn obj_list['hits']", "aggs = obj_list.get('aggregations')\nif not aggs:\n return missing\nreturn aggs" ]

Schema for dumping extra information in the UI.

UIListSchema

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

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009495

7,049

permissive

[ { "docstring": "Apply hits transformation.", "name": "get_hits", "signature": "def get_hits(self, obj_list)" }, { "docstring": "Apply aggregations transformation.", "name": "get_aggs", "signature": "def get_aggs(self, obj_list)" } ]

2

stack_v2_sparse_classes_30k_train_028384

Implement the Python class `UIListSchema` described below. Class description: Schema for dumping extra information in the UI. Method signatures and docstrings: - def get_hits(self, obj_list): Apply hits transformation. - def get_aggs(self, obj_list): Apply aggregations transformation.

Implement the Python class `UIListSchema` described below. Class description: Schema for dumping extra information in the UI. Method signatures and docstrings: - def get_hits(self, obj_list): Apply hits transformation. - def get_aggs(self, obj_list): Apply aggregations transformation. <|skeleton|> class UIListSchema...

b4bcc2e16df6048149177a6e1ebd514bdb6b0626

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class UIListSchema: """Schema for dumping extra information in the UI.""" def get_hits(self, obj_list): """Apply hits transformation.""" for obj in obj_list['hits']['hits']: obj[self.context['object_key']] = self.context['object_schema_cls']().dump(obj) return obj_list['hits...

the_stack_v2_python_sparse

invenio_rdm_records/resources/serializers/ui/schema.py

ppanero/invenio-rdm-records

train

0

011bc5956b1e9ec88ee3aa2f277415a06ff1e2ad

[ "user = User.objects.get(email=email)\nsalt = sha1(str(random.random())).hexdigest()[:5]\nkey = sha1(salt + user.username).hexdigest()\nResetPassword.objects.create(user=user, activation_key=key)\nurl = '{}{}'.format('tandlr://', key)\nurl_web = '{}{}/{}'.format(settings.FRONTEND_RECOVERY_PASSWORD_URL, key, user.em...

<|body_start_0|> user = User.objects.get(email=email) salt = sha1(str(random.random())).hexdigest()[:5] key = sha1(salt + user.username).hexdigest() ResetPassword.objects.create(user=user, activation_key=key) url = '{}{}'.format('tandlr://', key) url_web = '{}{}/{}'.forma...

ActivationKeysManager

[ "Apache-2.0" ]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009496

5,482

permissive

[ { "docstring": "Custom reset password", "name": "reset_user_password", "signature": "def reset_user_password(self, email, request=None)" }, { "docstring": "Custom activation user", "name": "activation_user", "signature": "def activation_user(self, user, request=None)" } ]

2

stack_v2_sparse_classes_30k_train_024082

Implement the Python class `ActivationKeysManager` described below. Class description: Implement the ActivationKeysManager class. Method signatures and docstrings: - def reset_user_password(self, email, request=None): Custom reset password - def activation_user(self, user, request=None): Custom activation user

Implement the Python class `ActivationKeysManager` described below. Class description: Implement the ActivationKeysManager class. Method signatures and docstrings: - def reset_user_password(self, email, request=None): Custom reset password - def activation_user(self, user, request=None): Custom activation user <|ske...

7349ce18f56658d67daedf5e1abb352b5c15a029

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ActivationKeysManager: def reset_user_password(self, email, request=None): """Custom reset password""" user = User.objects.get(email=email) salt = sha1(str(random.random())).hexdigest()[:5] key = sha1(salt + user.username).hexdigest() ResetPassword.objects.create(user=u...

the_stack_v2_python_sparse

src/tandlr/registration/models.py

shrmoud/schoolapp

train

0

8d75a14158e3e2e806ef137ad2f824a5bc638cb4

[ "for transaction in orm.Transaction.objects.all():\n payment = orm['payment.MPowerPayment'].objects.create(mpower_opr_token=transaction.mpower_opr_token, mpower_confirm_token=transaction.mpower_confirm_token, mpower_invoice_token=transaction.mpower_invoice_token, mpower_response_code=transaction.mpower_response_...

<|body_start_0|> for transaction in orm.Transaction.objects.all(): payment = orm['payment.MPowerPayment'].objects.create(mpower_opr_token=transaction.mpower_opr_token, mpower_confirm_token=transaction.mpower_confirm_token, mpower_invoice_token=transaction.mpower_invoice_token, mpower_response_code=t...

Migration

[]

stack_v2_sparse_python_classes_v1

stack_v2_sparse_classes_75kplus_train_009497

6,221

no_license

[ { "docstring": "Manually written forwards method.", "name": "forwards", "signature": "def forwards(self, orm)" }, { "docstring": "Manually written forwards method.", "name": "backwards", "signature": "def backwards(self, orm)" } ]

2

null

Implement the Python class `Migration` described below. Class description: Implement the Migration class. Method signatures and docstrings: - def forwards(self, orm): Manually written forwards method. - def backwards(self, orm): Manually written forwards method.

Implement the Python class `Migration` described below. Class description: Implement the Migration class. Method signatures and docstrings: - def forwards(self, orm): Manually written forwards method. - def backwards(self, orm): Manually written forwards method. <|skeleton|> class Migration: def forwards(self, ...

3b31c5899d063c2615e43641d1d6d7f4f675de0f

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class Migration: def forwards(self, orm): """Manually written forwards method.""" for transaction in orm.Transaction.objects.all(): payment = orm['payment.MPowerPayment'].objects.create(mpower_opr_token=transaction.mpower_opr_token, mpower_confirm_token=transaction.mpower_confirm_token, ...

the_stack_v2_python_sparse

transaction/migrations/0019_decouple_payments.py

kahihia/Kitiwa

train

0

10d18b45bfdaf8b5661b1d3456545b9f97974da4

[ "super(ShowAttendTell, self).__init__()\nself.encoder_dim = encoder_dim\nself.attention_dim = attention_dim\nself.embed_dim = embed_dim\nself.decoder_dim = decoder_dim\nself.vocab_size = vocab_size\nself.dropout = dropout\nself.attention = Attention(encoder_dim, decoder_dim, attention_dim)\nself.embedding = nn.Embe...

<|body_start_0|> super(ShowAttendTell, self).__init__() self.encoder_dim = encoder_dim self.attention_dim = attention_dim self.embed_dim = embed_dim self.decoder_dim = decoder_dim self.vocab_size = vocab_size self.dropout = dropout self.attention = Attenti...

Decoder.

ShowAttendTell

[]

stack_v2_sparse_python_classes_v1

<|skeleton|> class ShowAttendTell: """Decoder.""" def __init__(self, attention_dim, embed_dim, decoder_dim, vocab_size, encoder_dim=2048, dropout=0.5): """:param attention_dim: size of attention network :param embed_dim: embedding size :param decoder_dim: size of decoder's RNN :param vocab_size: size o...

stack_v2_sparse_classes_75kplus_train_009498

6,934

no_license

[ { "docstring": ":param attention_dim: size of attention network :param embed_dim: embedding size :param decoder_dim: size of decoder's RNN :param vocab_size: size of vocabulary :param encoder_dim: feature size of encoded images :param dropout: dropout", "name": "__init__", "signature": "def __init__(sel...

4

stack_v2_sparse_classes_30k_train_051751

Implement the Python class `ShowAttendTell` described below. Class description: Decoder. Method signatures and docstrings: - def __init__(self, attention_dim, embed_dim, decoder_dim, vocab_size, encoder_dim=2048, dropout=0.5): :param attention_dim: size of attention network :param embed_dim: embedding size :param dec...

542765c409b381def35362972068ae9b73bd9d8a

<|skeleton|> class ShowAttendTell: """Decoder.""" def __init__(self, attention_dim, embed_dim, decoder_dim, vocab_size, encoder_dim=2048, dropout=0.5): """:param attention_dim: size of attention network :param embed_dim: embedding size :param decoder_dim: size of decoder's RNN :param vocab_size: size o...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class ShowAttendTell: """Decoder.""" def __init__(self, attention_dim, embed_dim, decoder_dim, vocab_size, encoder_dim=2048, dropout=0.5): """:param attention_dim: size of attention network :param embed_dim: embedding size :param decoder_dim: size of decoder's RNN :param vocab_size: size of vocabulary ...

the_stack_v2_python_sparse

models/show_attend_tell.py

maartje/NeuralImageCaptionGeneration

train

0

d7784f46060d2636ff485544f671b0617ddf3fa3

[ "output = ''\nsummary = ''\nlogic = True\nfor bucket in list(result.keys()):\n summary += '\\n ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++'\n output += '\\n ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++'\n output += '\\n Analyzing for Bucket {0}'.format(bucket)\n summary += '...

<|body_start_0|> output = '' summary = '' logic = True for bucket in list(result.keys()): summary += '\n ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++' output += '\n ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++' output += '\n...

Class containing methods to help analyze results for data analysis

DataAnalysisResultAnalyzer

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

stack_v2_sparse_python_classes_v1

<|skeleton|> class DataAnalysisResultAnalyzer: """Class containing methods to help analyze results for data analysis""" def analyze_all_result(self, result, deletedItems=False, addedItems=False, updatedItems=False): """Method to Generate & analyze result AND output the logical and analysis result This ...

stack_v2_sparse_classes_75kplus_train_009499

48,606

permissive

[ { "docstring": "Method to Generate & analyze result AND output the logical and analysis result This works on a bucket level only since we have already taken a union for all nodes", "name": "analyze_all_result", "signature": "def analyze_all_result(self, result, deletedItems=False, addedItems=False, upda...

3

stack_v2_sparse_classes_30k_train_007654

Implement the Python class `DataAnalysisResultAnalyzer` described below. Class description: Class containing methods to help analyze results for data analysis Method signatures and docstrings: - def analyze_all_result(self, result, deletedItems=False, addedItems=False, updatedItems=False): Method to Generate & analyz...

9d8220a0925327bddf0e10887e22b57c5d6adb37

<|skeleton|> class DataAnalysisResultAnalyzer: """Class containing methods to help analyze results for data analysis""" def analyze_all_result(self, result, deletedItems=False, addedItems=False, updatedItems=False): """Method to Generate & analyze result AND output the logical and analysis result This ...

stack_v2_sparse_classes_75kplus

data/stack_v2_sparse_classes_30k

75,829

class DataAnalysisResultAnalyzer: """Class containing methods to help analyze results for data analysis""" def analyze_all_result(self, result, deletedItems=False, addedItems=False, updatedItems=False): """Method to Generate & analyze result AND output the logical and analysis result This works on a bu...

the_stack_v2_python_sparse

lib/couchbase_helper/data_analysis_helper.py

couchbase/testrunner

train

18