blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
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value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
13b461b75939360c65038d04f1f197e5d17dd91c | [
"context = self.env.context\ndispatch_user = self.env['funenc.wechat.user'].search([('user_id', '=', context['uid'])])\norders = self.env['metro_park_maintenance.maintaince_order'].search([('id', 'in', context['ids'])])\nfor order in orders:\n order.state = 'assigned'\n order.work_user = self.work_user\n o... | <|body_start_0|>
context = self.env.context
dispatch_user = self.env['funenc.wechat.user'].search([('user_id', '=', context['uid'])])
orders = self.env['metro_park_maintenance.maintaince_order'].search([('id', 'in', context['ids'])])
for order in orders:
order.state = 'assign... | 检修工单向导 | MaintainceOrderWizard | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaintainceOrderWizard:
"""检修工单向导"""
def send_job_on_click(self):
"""派工确认按钮 :return:"""
<|body_0|>
def start_job_on_click(self):
"""开工确认按钮 :return:"""
<|body_1|>
def finish_job_on_click(self):
"""完工确认按钮 :return:"""
<|body_2|>
def ... | stack_v2_sparse_classes_36k_train_013700 | 6,763 | no_license | [
{
"docstring": "派工确认按钮 :return:",
"name": "send_job_on_click",
"signature": "def send_job_on_click(self)"
},
{
"docstring": "开工确认按钮 :return:",
"name": "start_job_on_click",
"signature": "def start_job_on_click(self)"
},
{
"docstring": "完工确认按钮 :return:",
"name": "finish_job_on... | 6 | null | Implement the Python class `MaintainceOrderWizard` described below.
Class description:
检修工单向导
Method signatures and docstrings:
- def send_job_on_click(self): 派工确认按钮 :return:
- def start_job_on_click(self): 开工确认按钮 :return:
- def finish_job_on_click(self): 完工确认按钮 :return:
- def finish_job_confirm_on_click(self): 完工确认的... | Implement the Python class `MaintainceOrderWizard` described below.
Class description:
检修工单向导
Method signatures and docstrings:
- def send_job_on_click(self): 派工确认按钮 :return:
- def start_job_on_click(self): 开工确认按钮 :return:
- def finish_job_on_click(self): 完工确认按钮 :return:
- def finish_job_confirm_on_click(self): 完工确认的... | 13b428a5c4ade6278e3e5e996ef10d9fb0fea4b9 | <|skeleton|>
class MaintainceOrderWizard:
"""检修工单向导"""
def send_job_on_click(self):
"""派工确认按钮 :return:"""
<|body_0|>
def start_job_on_click(self):
"""开工确认按钮 :return:"""
<|body_1|>
def finish_job_on_click(self):
"""完工确认按钮 :return:"""
<|body_2|>
def ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MaintainceOrderWizard:
"""检修工单向导"""
def send_job_on_click(self):
"""派工确认按钮 :return:"""
context = self.env.context
dispatch_user = self.env['funenc.wechat.user'].search([('user_id', '=', context['uid'])])
orders = self.env['metro_park_maintenance.maintaince_order'].search([... | the_stack_v2_python_sparse | mdias_addons/metro_park_maintenance/models/wizard/maintaince_order_wizard.py | rezaghanimi/main_mdias | train | 0 |
fe1b68be12c5b5606e3c516dd1543be259d091e3 | [
"data_list = []\nresults = self.query.all()\nformatter = self.request.locale.dates.getFormatter('date', 'short')\nfor result in results:\n data = {}\n data['qid'] = 'b_' + str(result.bill_id)\n data['subject'] = result.short_name\n data['title'] = result.short_name\n data['result_item_class'] = 'work... | <|body_start_0|>
data_list = []
results = self.query.all()
formatter = self.request.locale.dates.getFormatter('date', 'short')
for result in results:
data = {}
data['qid'] = 'b_' + str(result.bill_id)
data['subject'] = result.short_name
dat... | Display all bills that can be scheduled for a parliamentary sitting | BillItemsViewlet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BillItemsViewlet:
"""Display all bills that can be scheduled for a parliamentary sitting"""
def getData(self):
"""return the data of the query"""
<|body_0|>
def update(self):
"""refresh the query"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
d... | stack_v2_sparse_classes_36k_train_013701 | 35,739 | no_license | [
{
"docstring": "return the data of the query",
"name": "getData",
"signature": "def getData(self)"
},
{
"docstring": "refresh the query",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002039 | Implement the Python class `BillItemsViewlet` described below.
Class description:
Display all bills that can be scheduled for a parliamentary sitting
Method signatures and docstrings:
- def getData(self): return the data of the query
- def update(self): refresh the query | Implement the Python class `BillItemsViewlet` described below.
Class description:
Display all bills that can be scheduled for a parliamentary sitting
Method signatures and docstrings:
- def getData(self): return the data of the query
- def update(self): refresh the query
<|skeleton|>
class BillItemsViewlet:
"""D... | 5cf0ba31dfbff8d2c1b4aa8ab6f69c7a0ae9870d | <|skeleton|>
class BillItemsViewlet:
"""Display all bills that can be scheduled for a parliamentary sitting"""
def getData(self):
"""return the data of the query"""
<|body_0|>
def update(self):
"""refresh the query"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BillItemsViewlet:
"""Display all bills that can be scheduled for a parliamentary sitting"""
def getData(self):
"""return the data of the query"""
data_list = []
results = self.query.all()
formatter = self.request.locale.dates.getFormatter('date', 'short')
for resul... | the_stack_v2_python_sparse | bungeni.buildout/branches/bungeni.buildout-refactor-2010-06-02/src/bungeni.main/bungeni/ui/viewlets/workspace.py | malangalanga/bungeni-portal | train | 0 |
39a02ccff3ea0e735efdfd8c700349917171dddd | [
"self.__size = 10\nself.__board = []\nself.__submarines = submarine\nfor i in range(10):\n self.__board.append([' '] * 10)\nself.__coords = {'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E': 4, 'F': 5, 'G': 6, 'H': 7, 'I': 8, 'J': 9}",
"x, y = (self.__coords[coord[0]], int(coord[1]))\nfor sub in self.__submarines:\n if ... | <|body_start_0|>
self.__size = 10
self.__board = []
self.__submarines = submarine
for i in range(10):
self.__board.append([' '] * 10)
self.__coords = {'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E': 4, 'F': 5, 'G': 6, 'H': 7, 'I': 8, 'J': 9}
<|end_body_0|>
<|body_start_1|>
... | Tämä luokka vastaa pelialueelta. Välittää iskut laivoille, määrittelee voittajan jne. | Playground | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Playground:
"""Tämä luokka vastaa pelialueelta. Välittää iskut laivoille, määrittelee voittajan jne."""
def __init__(self, submarine):
"""Lukan alustaminen. Sisäiset muuttujat: size - pelialueen koko board - sisältää listojen listan, jossa on kaikki tarvittavat merkit. submarines - s... | stack_v2_sparse_classes_36k_train_013702 | 9,090 | no_license | [
{
"docstring": "Lukan alustaminen. Sisäiset muuttujat: size - pelialueen koko board - sisältää listojen listan, jossa on kaikki tarvittavat merkit. submarines - sisätlää vektorin, jossa on kaikki pelissa osallistuvat laivat (submarine-luokan edustajat) coord - sisäiseen käyttöön tarkoitettu dicti, jossa jokaise... | 4 | stack_v2_sparse_classes_30k_train_019848 | Implement the Python class `Playground` described below.
Class description:
Tämä luokka vastaa pelialueelta. Välittää iskut laivoille, määrittelee voittajan jne.
Method signatures and docstrings:
- def __init__(self, submarine): Lukan alustaminen. Sisäiset muuttujat: size - pelialueen koko board - sisältää listojen l... | Implement the Python class `Playground` described below.
Class description:
Tämä luokka vastaa pelialueelta. Välittää iskut laivoille, määrittelee voittajan jne.
Method signatures and docstrings:
- def __init__(self, submarine): Lukan alustaminen. Sisäiset muuttujat: size - pelialueen koko board - sisältää listojen l... | 5e26264eefd4f4f74b5c91bacf2317dc22d120cb | <|skeleton|>
class Playground:
"""Tämä luokka vastaa pelialueelta. Välittää iskut laivoille, määrittelee voittajan jne."""
def __init__(self, submarine):
"""Lukan alustaminen. Sisäiset muuttujat: size - pelialueen koko board - sisältää listojen listan, jossa on kaikki tarvittavat merkit. submarines - s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Playground:
"""Tämä luokka vastaa pelialueelta. Välittää iskut laivoille, määrittelee voittajan jne."""
def __init__(self, submarine):
"""Lukan alustaminen. Sisäiset muuttujat: size - pelialueen koko board - sisältää listojen listan, jossa on kaikki tarvittavat merkit. submarines - sisätlää vekto... | the_stack_v2_python_sparse | kierros12/laivapeli2.py | kettu-metsanen/python_course | train | 0 |
ff71295e0c7367c6d568112c40cebb3a8a77c733 | [
"super().__init__(board)\nself.extra_steps = extra_steps\nself.went_down = False",
"if self.went_down:\n self.position += random.randint(1, 6) + self.extra_steps\nelse:\n self.position += random.randint(1, 6)\nif self.position > self.board.position_adjustment(self.position):\n self.went_down = True\nelse... | <|body_start_0|>
super().__init__(board)
self.extra_steps = extra_steps
self.went_down = False
<|end_body_0|>
<|body_start_1|>
if self.went_down:
self.position += random.randint(1, 6) + self.extra_steps
else:
self.position += random.randint(1, 6)
... | Resilient Player class, this player takes one extra step the next round if he fell down in the previous round. | ResilientPlayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResilientPlayer:
"""Resilient Player class, this player takes one extra step the next round if he fell down in the previous round."""
def __init__(self, board, extra_steps=1):
""":param board: Takes in board as input :param extra_steps: Takes in amount of steps he should take as inpu... | stack_v2_sparse_classes_36k_train_013703 | 7,940 | no_license | [
{
"docstring": ":param board: Takes in board as input :param extra_steps: Takes in amount of steps he should take as input",
"name": "__init__",
"signature": "def __init__(self, board, extra_steps=1)"
},
{
"docstring": "Moves the ResilientPlayer, done with if tests. Updates the current position ... | 2 | stack_v2_sparse_classes_30k_train_008592 | Implement the Python class `ResilientPlayer` described below.
Class description:
Resilient Player class, this player takes one extra step the next round if he fell down in the previous round.
Method signatures and docstrings:
- def __init__(self, board, extra_steps=1): :param board: Takes in board as input :param ext... | Implement the Python class `ResilientPlayer` described below.
Class description:
Resilient Player class, this player takes one extra step the next round if he fell down in the previous round.
Method signatures and docstrings:
- def __init__(self, board, extra_steps=1): :param board: Takes in board as input :param ext... | 4d2f6cc594a4c5decd844fdfba7baced6b78aa72 | <|skeleton|>
class ResilientPlayer:
"""Resilient Player class, this player takes one extra step the next round if he fell down in the previous round."""
def __init__(self, board, extra_steps=1):
""":param board: Takes in board as input :param extra_steps: Takes in amount of steps he should take as inpu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResilientPlayer:
"""Resilient Player class, this player takes one extra step the next round if he fell down in the previous round."""
def __init__(self, board, extra_steps=1):
""":param board: Takes in board as input :param extra_steps: Takes in amount of steps he should take as input"""
... | the_stack_v2_python_sparse | src/pa02/chutes_simulation.py | amirarfan/INF200-2019-Exercises | train | 0 |
44462eb6d42cea46ad622054eac699a07e37c013 | [
"from oaautils import i4d\nself._ic = InterferometerConverter()\nself._interf = i4d.I4D()\nself._logger = logging.getLogger('4D')",
"if nframes == 1:\n masked_ima = self._getMeasurementOnTheFly(self._interf)\nelse:\n cube_images = None\n for i in range(nframes):\n ima = self._getMeasurementOnTheFl... | <|body_start_0|>
from oaautils import i4d
self._ic = InterferometerConverter()
self._interf = i4d.I4D()
self._logger = logging.getLogger('4D')
<|end_body_0|>
<|body_start_1|>
if nframes == 1:
masked_ima = self._getMeasurementOnTheFly(self._interf)
else:
... | Class for i4d interferometer | I4dArcetri | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class I4dArcetri:
"""Class for i4d interferometer"""
def __init__(self):
"""The constructor"""
<|body_0|>
def acquire_phasemap(self, nframes=1, show=0):
"""Parameters ---------- nframes: int number of frames show: int 0 to not show the image Returns ------- masked_ima:... | stack_v2_sparse_classes_36k_train_013704 | 4,915 | no_license | [
{
"docstring": "The constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Parameters ---------- nframes: int number of frames show: int 0 to not show the image Returns ------- masked_ima: numpy masked array interferometer image",
"name": "acquire_phasemap",
... | 4 | null | Implement the Python class `I4dArcetri` described below.
Class description:
Class for i4d interferometer
Method signatures and docstrings:
- def __init__(self): The constructor
- def acquire_phasemap(self, nframes=1, show=0): Parameters ---------- nframes: int number of frames show: int 0 to not show the image Return... | Implement the Python class `I4dArcetri` described below.
Class description:
Class for i4d interferometer
Method signatures and docstrings:
- def __init__(self): The constructor
- def acquire_phasemap(self, nframes=1, show=0): Parameters ---------- nframes: int number of frames show: int 0 to not show the image Return... | cfb3757cc491199248dba767ddf47dce9b191261 | <|skeleton|>
class I4dArcetri:
"""Class for i4d interferometer"""
def __init__(self):
"""The constructor"""
<|body_0|>
def acquire_phasemap(self, nframes=1, show=0):
"""Parameters ---------- nframes: int number of frames show: int 0 to not show the image Returns ------- masked_ima:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class I4dArcetri:
"""Class for i4d interferometer"""
def __init__(self):
"""The constructor"""
from oaautils import i4d
self._ic = InterferometerConverter()
self._interf = i4d.I4D()
self._logger = logging.getLogger('4D')
def acquire_phasemap(self, nframes=1, show=0)... | the_stack_v2_python_sparse | m4/devices/interferometer.py | alfiopuglisi/M4 | train | 0 |
667bd72cb4993f82f60c819b5fb84fe6d7726c59 | [
"if hasattr(self, 'request') and user_id == self.request.session['user_id']:\n username = self.request.session['username']\n token = self.request.session['token']\n user = AuthUser(user_id, username, token)\n return user\nelse:\n return None",
"LOG.debug('Beginning user authentication for user \"%s... | <|body_start_0|>
if hasattr(self, 'request') and user_id == self.request.session['user_id']:
username = self.request.session['username']
token = self.request.session['token']
user = AuthUser(user_id, username, token)
return user
else:
return No... | Django authentication backend class for use with ``django.contrib.auth``. | KeystoneBackend | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeystoneBackend:
"""Django authentication backend class for use with ``django.contrib.auth``."""
def get_user(self, user_id):
"""Returns the current user (if authenticated) based on the user ID and session data. Note: this required monkey-patching the ``contrib.auth`` middleware to m... | stack_v2_sparse_classes_36k_train_013705 | 2,763 | permissive | [
{
"docstring": "Returns the current user (if authenticated) based on the user ID and session data. Note: this required monkey-patching the ``contrib.auth`` middleware to make the ``request`` object available to the auth backend class.",
"name": "get_user",
"signature": "def get_user(self, user_id)"
},... | 4 | null | Implement the Python class `KeystoneBackend` described below.
Class description:
Django authentication backend class for use with ``django.contrib.auth``.
Method signatures and docstrings:
- def get_user(self, user_id): Returns the current user (if authenticated) based on the user ID and session data. Note: this requ... | Implement the Python class `KeystoneBackend` described below.
Class description:
Django authentication backend class for use with ``django.contrib.auth``.
Method signatures and docstrings:
- def get_user(self, user_id): Returns the current user (if authenticated) based on the user ID and session data. Note: this requ... | 74140b041ac25ed83898ff3998e8dcbed35572bb | <|skeleton|>
class KeystoneBackend:
"""Django authentication backend class for use with ``django.contrib.auth``."""
def get_user(self, user_id):
"""Returns the current user (if authenticated) based on the user ID and session data. Note: this required monkey-patching the ``contrib.auth`` middleware to m... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KeystoneBackend:
"""Django authentication backend class for use with ``django.contrib.auth``."""
def get_user(self, user_id):
"""Returns the current user (if authenticated) based on the user ID and session data. Note: this required monkey-patching the ``contrib.auth`` middleware to make the ``req... | the_stack_v2_python_sparse | tools/dockerize/webportal/usr/share/openstack-dashboard/openstack_dashboard/backend.py | foruy/openflow-multiopenstack | train | 1 |
0667d50b8d8dd113a3777ec8a21e8f2e065534e8 | [
"self.location = location\nself.velocity = velocity\nself.front = front / front.magnitude()\nself.acceleration = Vector2(0)",
"self.location += delta_time * self.velocity\nself.velocity += delta_time * self.acceleration\nself.acceleration = Vector2(0)"
] | <|body_start_0|>
self.location = location
self.velocity = velocity
self.front = front / front.magnitude()
self.acceleration = Vector2(0)
<|end_body_0|>
<|body_start_1|>
self.location += delta_time * self.velocity
self.velocity += delta_time * self.acceleration
se... | A class for basic physical properties. Can be extended with PhysicsDecorator classes. Attributes: `location': A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`. Should be normalized to have length of 1 `acceleration`: A pygame.Vector2 | BasePhysics | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasePhysics:
"""A class for basic physical properties. Can be extended with PhysicsDecorator classes. Attributes: `location': A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`. Should be normalized to have length of 1... | stack_v2_sparse_classes_36k_train_013706 | 7,411 | no_license | [
{
"docstring": "Initializes BasePhysics. Arguments: `location`: A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`.",
"name": "__init__",
"signature": "def __init__(self, location, velocity, front)"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_002800 | Implement the Python class `BasePhysics` described below.
Class description:
A class for basic physical properties. Can be extended with PhysicsDecorator classes. Attributes: `location': A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`. S... | Implement the Python class `BasePhysics` described below.
Class description:
A class for basic physical properties. Can be extended with PhysicsDecorator classes. Attributes: `location': A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`. S... | a210b6254c2a99c50cce591aeaf0a88bfc92993f | <|skeleton|>
class BasePhysics:
"""A class for basic physical properties. Can be extended with PhysicsDecorator classes. Attributes: `location': A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`. Should be normalized to have length of 1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BasePhysics:
"""A class for basic physical properties. Can be extended with PhysicsDecorator classes. Attributes: `location': A pygame.Vector2 `velocity`: A pygame.Vector2 `front`: A pygame.Vector2 A vector pointing to the direction of the front of `self`. Should be normalized to have length of 1 `acceleratio... | the_stack_v2_python_sparse | src/game/physics.py | kluopaja/plane-game | train | 0 |
ae74ec510096893c1629c9555f3503c75aaf1f05 | [
"if isinstance(instance, RegisteredShutdown):\n container = GracefulShutdown.ServiceContainer(instance, nice)\n GracefulShutdown._register.append(container)\nelse:\n raise TypeError('Registered objects for graceful shutdown MUST be of type `RegisteredShutdown`.')",
"logging.info('Shutting down services:'... | <|body_start_0|>
if isinstance(instance, RegisteredShutdown):
container = GracefulShutdown.ServiceContainer(instance, nice)
GracefulShutdown._register.append(container)
else:
raise TypeError('Registered objects for graceful shutdown MUST be of type `RegisteredShutdown... | GracefulShutdown | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GracefulShutdown:
def register(instance, nice=0):
"""Arguments: `instance` argument should be an Object of type `RegisteredShutdown`. `nice` parameter permits a natural ascending priority-basis for shutdown execution order. Default is 0 (int), no range limitations. Usage: - subprocess.Po... | stack_v2_sparse_classes_36k_train_013707 | 2,914 | permissive | [
{
"docstring": "Arguments: `instance` argument should be an Object of type `RegisteredShutdown`. `nice` parameter permits a natural ascending priority-basis for shutdown execution order. Default is 0 (int), no range limitations. Usage: - subprocess.Popen() object containers, should - extend RegisteredShutdown a... | 2 | stack_v2_sparse_classes_30k_train_010817 | Implement the Python class `GracefulShutdown` described below.
Class description:
Implement the GracefulShutdown class.
Method signatures and docstrings:
- def register(instance, nice=0): Arguments: `instance` argument should be an Object of type `RegisteredShutdown`. `nice` parameter permits a natural ascending prio... | Implement the Python class `GracefulShutdown` described below.
Class description:
Implement the GracefulShutdown class.
Method signatures and docstrings:
- def register(instance, nice=0): Arguments: `instance` argument should be an Object of type `RegisteredShutdown`. `nice` parameter permits a natural ascending prio... | 92f21b1b8a9f701cac3976a8db7034ecfefc58c7 | <|skeleton|>
class GracefulShutdown:
def register(instance, nice=0):
"""Arguments: `instance` argument should be an Object of type `RegisteredShutdown`. `nice` parameter permits a natural ascending priority-basis for shutdown execution order. Default is 0 (int), no range limitations. Usage: - subprocess.Po... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GracefulShutdown:
def register(instance, nice=0):
"""Arguments: `instance` argument should be an Object of type `RegisteredShutdown`. `nice` parameter permits a natural ascending priority-basis for shutdown execution order. Default is 0 (int), no range limitations. Usage: - subprocess.Popen() object c... | the_stack_v2_python_sparse | src/service/registered_shutdown.py | yeauxji/LightStage-Repo | train | 0 | |
ff6a8054b1f8438a02fdde2f2a2fbb97630276db | [
"idx = list()\nfor i, value in enumerate(nums):\n for j in range(i + 1, len(nums)):\n if value + nums[j] == target:\n idx.append(i)\n idx.append(j)\nreturn idx",
"idx = list()\norder = sorted(range(len(nums)), key=lambda k: nums[k])\nnums = [nums[i] for i in order]\nfor i, value in... | <|body_start_0|>
idx = list()
for i, value in enumerate(nums):
for j in range(i + 1, len(nums)):
if value + nums[j] == target:
idx.append(i)
idx.append(j)
return idx
<|end_body_0|>
<|body_start_1|>
idx = list()
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def twoSum1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def twoSum2(self, nums, target):
"""sort nums and retain order in original list start with a[0], check a[0]+a[1], then a[0]+a[n-1] then move to middl... | stack_v2_sparse_classes_36k_train_013708 | 5,563 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "twoSum1",
"signature": "def twoSum1(self, nums, target)"
},
{
"docstring": "sort nums and retain order in original list start with a[0], check a[0]+a[1], then a[0]+a[n-1] then move to middle SHOULD consider chec... | 5 | stack_v2_sparse_classes_30k_train_011887 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum1(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def twoSum2(self, nums, target): sort nums and retain order in original list start wi... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum1(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def twoSum2(self, nums, target): sort nums and retain order in original list start wi... | 4af44f7364c6fb4d95309056f7a7853de779b3bb | <|skeleton|>
class Solution:
def twoSum1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def twoSum2(self, nums, target):
"""sort nums and retain order in original list start with a[0], check a[0]+a[1], then a[0]+a[n-1] then move to middl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def twoSum1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
idx = list()
for i, value in enumerate(nums):
for j in range(i + 1, len(nums)):
if value + nums[j] == target:
idx.append(i)
... | the_stack_v2_python_sparse | codes_python/0001_Two_Sum.py | mondler/leetcode | train | 0 | |
79205759e44904843ef5999daeaeaf4fb8e02563 | [
"s = sum(nums)\nif s % k != 0:\n return False\ntarget = s // k\nvisited = [False for _ in nums]\nreturn self.dfs(nums, 0, None, target, visited, k)",
"if k == 1:\n return True\nif cur_sum and cur_sum == target_sum:\n return self.dfs(nums, 0, None, target_sum, visited, k - 1)\nfor i in range(start_idx, le... | <|body_start_0|>
s = sum(nums)
if s % k != 0:
return False
target = s // k
visited = [False for _ in nums]
return self.dfs(nums, 0, None, target, visited, k)
<|end_body_0|>
<|body_start_1|>
if k == 1:
return True
if cur_sum and cur_sum == ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canPartitionKSubsets(self, nums: List[int], k: int) -> bool:
"""resurive search"""
<|body_0|>
def dfs(self, nums, start_idx, cur_sum, target_sum, visited, k):
"""some corner cases: 1. target_sum default at 0: sum or empty array is 0? 2. nxt_sum = (cur_s... | stack_v2_sparse_classes_36k_train_013709 | 3,307 | no_license | [
{
"docstring": "resurive search",
"name": "canPartitionKSubsets",
"signature": "def canPartitionKSubsets(self, nums: List[int], k: int) -> bool"
},
{
"docstring": "some corner cases: 1. target_sum default at 0: sum or empty array is 0? 2. nxt_sum = (cur_sum or 0) + nums[i] rather than cur_sum or... | 2 | stack_v2_sparse_classes_30k_train_017131 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canPartitionKSubsets(self, nums: List[int], k: int) -> bool: resurive search
- def dfs(self, nums, start_idx, cur_sum, target_sum, visited, k): some corner cases: 1. target_s... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canPartitionKSubsets(self, nums: List[int], k: int) -> bool: resurive search
- def dfs(self, nums, start_idx, cur_sum, target_sum, visited, k): some corner cases: 1. target_s... | 929dde1723fb2f54870c8a9badc80fc23e8400d3 | <|skeleton|>
class Solution:
def canPartitionKSubsets(self, nums: List[int], k: int) -> bool:
"""resurive search"""
<|body_0|>
def dfs(self, nums, start_idx, cur_sum, target_sum, visited, k):
"""some corner cases: 1. target_sum default at 0: sum or empty array is 0? 2. nxt_sum = (cur_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canPartitionKSubsets(self, nums: List[int], k: int) -> bool:
"""resurive search"""
s = sum(nums)
if s % k != 0:
return False
target = s // k
visited = [False for _ in nums]
return self.dfs(nums, 0, None, target, visited, k)
def dfs... | the_stack_v2_python_sparse | _algorithms_challenges/leetcode/LeetCode/698 Partition to K Equal Sum Subsets.py | syurskyi/Algorithms_and_Data_Structure | train | 4 | |
5f9afe4853c0b364ae0d35e509857f28cc8659fc | [
"msg = 'Specify a valid before date (-b) or an age (-a).'\nwith self.assertRaisesMessage(CommandError, msg):\n call_command('clean_entries')",
"msg = 'Specify a valid before date (-b) or an age (-a).'\nwith self.assertRaisesMessage(CommandError, msg):\n call_command('clean_entries', '-a=-3')",
"today, now... | <|body_start_0|>
msg = 'Specify a valid before date (-b) or an age (-a).'
with self.assertRaisesMessage(CommandError, msg):
call_command('clean_entries')
<|end_body_0|>
<|body_start_1|>
msg = 'Specify a valid before date (-b) or an age (-a).'
with self.assertRaisesMessage(Co... | Tests of the management command to clear out old entries. | Clean_Entry_Tests | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Clean_Entry_Tests:
"""Tests of the management command to clear out old entries."""
def test_no_args_gives_error(self):
"""Make sure providing no arguments raises an error."""
<|body_0|>
def test_negative_age_gives_error(self):
"""Make sure negative age raises an ... | stack_v2_sparse_classes_36k_train_013710 | 29,880 | permissive | [
{
"docstring": "Make sure providing no arguments raises an error.",
"name": "test_no_args_gives_error",
"signature": "def test_no_args_gives_error(self)"
},
{
"docstring": "Make sure negative age raises an error.",
"name": "test_negative_age_gives_error",
"signature": "def test_negative_... | 6 | stack_v2_sparse_classes_30k_train_013029 | Implement the Python class `Clean_Entry_Tests` described below.
Class description:
Tests of the management command to clear out old entries.
Method signatures and docstrings:
- def test_no_args_gives_error(self): Make sure providing no arguments raises an error.
- def test_negative_age_gives_error(self): Make sure ne... | Implement the Python class `Clean_Entry_Tests` described below.
Class description:
Tests of the management command to clear out old entries.
Method signatures and docstrings:
- def test_no_args_gives_error(self): Make sure providing no arguments raises an error.
- def test_negative_age_gives_error(self): Make sure ne... | 12e1f2d3f6e7da5fbbbeb2af1322117589e218fa | <|skeleton|>
class Clean_Entry_Tests:
"""Tests of the management command to clear out old entries."""
def test_no_args_gives_error(self):
"""Make sure providing no arguments raises an error."""
<|body_0|>
def test_negative_age_gives_error(self):
"""Make sure negative age raises an ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Clean_Entry_Tests:
"""Tests of the management command to clear out old entries."""
def test_no_args_gives_error(self):
"""Make sure providing no arguments raises an error."""
msg = 'Specify a valid before date (-b) or an age (-a).'
with self.assertRaisesMessage(CommandError, msg):... | the_stack_v2_python_sparse | diary/tests.py | BobBowles/django-diary | train | 23 |
ff0eb24014181d10dac403ffc269d5e581b658a9 | [
"html_class = super(BaseBookmarkPlugin, self).html_class\nif self.data.image:\n html_class += ' iconic-url'\nreturn html_class",
"try:\n bookmark = Bookmark._default_manager.get(pk=self.data.bookmark)\nexcept ObjectDoesNotExist:\n return\nif bookmark:\n data = {'bookmark': bookmark.pk, 'title': bookma... | <|body_start_0|>
html_class = super(BaseBookmarkPlugin, self).html_class
if self.data.image:
html_class += ' iconic-url'
return html_class
<|end_body_0|>
<|body_start_1|>
try:
bookmark = Bookmark._default_manager.get(pk=self.data.bookmark)
except ObjectDo... | Base URL plugin. | BaseBookmarkPlugin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseBookmarkPlugin:
"""Base URL plugin."""
def html_class(self):
"""HTML class. If plugin has an image, we add a class `iconic` to it."""
<|body_0|>
def update_plugin_data(self, dashboard_entry):
"""Update plugin data. Should return a dictionary with the plugin d... | stack_v2_sparse_classes_36k_train_013711 | 3,111 | no_license | [
{
"docstring": "HTML class. If plugin has an image, we add a class `iconic` to it.",
"name": "html_class",
"signature": "def html_class(self)"
},
{
"docstring": "Update plugin data. Should return a dictionary with the plugin data which is supposed to be updated.",
"name": "update_plugin_data... | 2 | null | Implement the Python class `BaseBookmarkPlugin` described below.
Class description:
Base URL plugin.
Method signatures and docstrings:
- def html_class(self): HTML class. If plugin has an image, we add a class `iconic` to it.
- def update_plugin_data(self, dashboard_entry): Update plugin data. Should return a diction... | Implement the Python class `BaseBookmarkPlugin` described below.
Class description:
Base URL plugin.
Method signatures and docstrings:
- def html_class(self): HTML class. If plugin has an image, we add a class `iconic` to it.
- def update_plugin_data(self, dashboard_entry): Update plugin data. Should return a diction... | bef95536e96417e18972a3118e19a8074bfc8684 | <|skeleton|>
class BaseBookmarkPlugin:
"""Base URL plugin."""
def html_class(self):
"""HTML class. If plugin has an image, we add a class `iconic` to it."""
<|body_0|>
def update_plugin_data(self, dashboard_entry):
"""Update plugin data. Should return a dictionary with the plugin d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseBookmarkPlugin:
"""Base URL plugin."""
def html_class(self):
"""HTML class. If plugin has an image, we add a class `iconic` to it."""
html_class = super(BaseBookmarkPlugin, self).html_class
if self.data.image:
html_class += ' iconic-url'
return html_class
... | the_stack_v2_python_sparse | ENV/Lib/site-packages/dash/contrib/plugins/url/dash_plugins.py | JulianYangJingJun/OSVRCMS | train | 3 |
d17c80544fcdf8b0e2b46de91c4396d462210da9 | [
"pre, curr = (None, root)\nin_order = []\nwhile curr:\n if not curr.left:\n in_order.append(curr.val)\n curr = curr.right\n else:\n pre = curr.left\n while pre.right:\n pre = pre.right\n pre.right = curr\n temp = curr\n curr = curr.left\n temp... | <|body_start_0|>
pre, curr = (None, root)
in_order = []
while curr:
if not curr.left:
in_order.append(curr.val)
curr = curr.right
else:
pre = curr.left
while pre.right:
pre = pre.right
... | BinaryTree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinaryTree:
def in_order_traversal_(self, root: 'TreeNode'):
"""Approach: Morris Traversal Time Complexity: O(N) Space Complexity: O(N) :param root: :return:"""
<|body_0|>
def in_order_traversal(self, root: 'TreeNode'):
"""Approach: Using stack Time Complexity: O(N) ... | stack_v2_sparse_classes_36k_train_013712 | 1,689 | no_license | [
{
"docstring": "Approach: Morris Traversal Time Complexity: O(N) Space Complexity: O(N) :param root: :return:",
"name": "in_order_traversal_",
"signature": "def in_order_traversal_(self, root: 'TreeNode')"
},
{
"docstring": "Approach: Using stack Time Complexity: O(N) Space Complexity: O(N) :par... | 2 | stack_v2_sparse_classes_30k_train_001621 | Implement the Python class `BinaryTree` described below.
Class description:
Implement the BinaryTree class.
Method signatures and docstrings:
- def in_order_traversal_(self, root: 'TreeNode'): Approach: Morris Traversal Time Complexity: O(N) Space Complexity: O(N) :param root: :return:
- def in_order_traversal(self, ... | Implement the Python class `BinaryTree` described below.
Class description:
Implement the BinaryTree class.
Method signatures and docstrings:
- def in_order_traversal_(self, root: 'TreeNode'): Approach: Morris Traversal Time Complexity: O(N) Space Complexity: O(N) :param root: :return:
- def in_order_traversal(self, ... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class BinaryTree:
def in_order_traversal_(self, root: 'TreeNode'):
"""Approach: Morris Traversal Time Complexity: O(N) Space Complexity: O(N) :param root: :return:"""
<|body_0|>
def in_order_traversal(self, root: 'TreeNode'):
"""Approach: Using stack Time Complexity: O(N) ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BinaryTree:
def in_order_traversal_(self, root: 'TreeNode'):
"""Approach: Morris Traversal Time Complexity: O(N) Space Complexity: O(N) :param root: :return:"""
pre, curr = (None, root)
in_order = []
while curr:
if not curr.left:
in_order.append(curr... | the_stack_v2_python_sparse | revisited/trees/inorder_traversal.py | Shiv2157k/leet_code | train | 1 | |
fc5e63542998adba97a67f2a5990f3fa429a44f8 | [
"self.cmd = cmd\nself.rsp = rsp\nself.dev = dev\nself.timeout = timeout\nself.re = re\nself.rpc_error = None\nself.xml = rsp\nif isinstance(errs, RPCError) and hasattr(errs, 'errors'):\n self.errs = [JXML.rpc_error(error.xml) for error in errs.errors]\n for error in errs.errors:\n if error.severity == ... | <|body_start_0|>
self.cmd = cmd
self.rsp = rsp
self.dev = dev
self.timeout = timeout
self.re = re
self.rpc_error = None
self.xml = rsp
if isinstance(errs, RPCError) and hasattr(errs, 'errors'):
self.errs = [JXML.rpc_error(error.xml) for error i... | Parent class for all junos-pyez RPC Exceptions | RpcError | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RpcError:
"""Parent class for all junos-pyez RPC Exceptions"""
def __init__(self, cmd=None, rsp=None, errs=None, dev=None, timeout=None, re=None):
""":cmd: is the rpc command :rsp: is the rpc response (after <rpc-reply>) :errs: is a list of dictionaries of extracted <rpc-error> eleme... | stack_v2_sparse_classes_36k_train_013713 | 9,037 | permissive | [
{
"docstring": ":cmd: is the rpc command :rsp: is the rpc response (after <rpc-reply>) :errs: is a list of dictionaries of extracted <rpc-error> elements. :dev: is the device rpc was executed on :timeout: is the timeout value of the device :re: is the RE or member exception occured on",
"name": "__init__",
... | 2 | null | Implement the Python class `RpcError` described below.
Class description:
Parent class for all junos-pyez RPC Exceptions
Method signatures and docstrings:
- def __init__(self, cmd=None, rsp=None, errs=None, dev=None, timeout=None, re=None): :cmd: is the rpc command :rsp: is the rpc response (after <rpc-reply>) :errs:... | Implement the Python class `RpcError` described below.
Class description:
Parent class for all junos-pyez RPC Exceptions
Method signatures and docstrings:
- def __init__(self, cmd=None, rsp=None, errs=None, dev=None, timeout=None, re=None): :cmd: is the rpc command :rsp: is the rpc response (after <rpc-reply>) :errs:... | e19a7683be1da67140798987ac42e8c82041c393 | <|skeleton|>
class RpcError:
"""Parent class for all junos-pyez RPC Exceptions"""
def __init__(self, cmd=None, rsp=None, errs=None, dev=None, timeout=None, re=None):
""":cmd: is the rpc command :rsp: is the rpc response (after <rpc-reply>) :errs: is a list of dictionaries of extracted <rpc-error> eleme... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RpcError:
"""Parent class for all junos-pyez RPC Exceptions"""
def __init__(self, cmd=None, rsp=None, errs=None, dev=None, timeout=None, re=None):
""":cmd: is the rpc command :rsp: is the rpc response (after <rpc-reply>) :errs: is a list of dictionaries of extracted <rpc-error> elements. :dev: is... | the_stack_v2_python_sparse | lib/jnpr/junos/exception.py | Juniper/py-junos-eznc | train | 628 |
4b176da8904e0219f28e62297148af9c6176c649 | [
"start_p = {'Healthy': 0.6, 'Fever': 0.4}\nhidden_state_p = {'Healthy': {'Healthy': 0.7, 'Fever': 0.3}, 'Fever': {'Healthy': 0.4, 'Fever': 0.6}}\nevent_p = {'Healthy': {'normal': 0.5, 'cold': 0.4, 'dizzy': 0.1}, 'Fever': {'normal': 0.1, 'cold': 0.3, 'dizzy': 0.6}}\nhmm = Hmm(start_p, hidden_state_p, event_p)\npath ... | <|body_start_0|>
start_p = {'Healthy': 0.6, 'Fever': 0.4}
hidden_state_p = {'Healthy': {'Healthy': 0.7, 'Fever': 0.3}, 'Fever': {'Healthy': 0.4, 'Fever': 0.6}}
event_p = {'Healthy': {'normal': 0.5, 'cold': 0.4, 'dizzy': 0.1}, 'Fever': {'normal': 0.1, 'cold': 0.3, 'dizzy': 0.6}}
hmm = Hmm... | HmmTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HmmTest:
def test_sick_patient(self):
"""https://youtu.be/uAT3iJpQwJ0 https://en.wikipedia.org/wiki/Viterbi_algorithm"""
<|body_0|>
def test_weather(self):
"""https://en.wikipedia.org/wiki/Hidden_Markov_model"""
<|body_1|>
def test_gataca(self):
... | stack_v2_sparse_classes_36k_train_013714 | 13,944 | no_license | [
{
"docstring": "https://youtu.be/uAT3iJpQwJ0 https://en.wikipedia.org/wiki/Viterbi_algorithm",
"name": "test_sick_patient",
"signature": "def test_sick_patient(self)"
},
{
"docstring": "https://en.wikipedia.org/wiki/Hidden_Markov_model",
"name": "test_weather",
"signature": "def test_wea... | 3 | stack_v2_sparse_classes_30k_test_001186 | Implement the Python class `HmmTest` described below.
Class description:
Implement the HmmTest class.
Method signatures and docstrings:
- def test_sick_patient(self): https://youtu.be/uAT3iJpQwJ0 https://en.wikipedia.org/wiki/Viterbi_algorithm
- def test_weather(self): https://en.wikipedia.org/wiki/Hidden_Markov_mode... | Implement the Python class `HmmTest` described below.
Class description:
Implement the HmmTest class.
Method signatures and docstrings:
- def test_sick_patient(self): https://youtu.be/uAT3iJpQwJ0 https://en.wikipedia.org/wiki/Viterbi_algorithm
- def test_weather(self): https://en.wikipedia.org/wiki/Hidden_Markov_mode... | 2c92927322db17dd0c8cc8a8200877e0a5519b2c | <|skeleton|>
class HmmTest:
def test_sick_patient(self):
"""https://youtu.be/uAT3iJpQwJ0 https://en.wikipedia.org/wiki/Viterbi_algorithm"""
<|body_0|>
def test_weather(self):
"""https://en.wikipedia.org/wiki/Hidden_Markov_model"""
<|body_1|>
def test_gataca(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HmmTest:
def test_sick_patient(self):
"""https://youtu.be/uAT3iJpQwJ0 https://en.wikipedia.org/wiki/Viterbi_algorithm"""
start_p = {'Healthy': 0.6, 'Fever': 0.4}
hidden_state_p = {'Healthy': {'Healthy': 0.7, 'Fever': 0.3}, 'Fever': {'Healthy': 0.4, 'Fever': 0.6}}
event_p = {'He... | the_stack_v2_python_sparse | hmm.py | rodolf0/snippets | train | 0 | |
272a843592f160ad7cdbb2c798a266e0a7c50293 | [
"if not prices:\n return 0\nn = len(prices)\ndp, money, profit = ([], prices[0], 0)\nfor i in range(n):\n profit = max(profit, prices[i] - money)\n money = min(money, prices[i])\n dp.append(profit)\ni, ans, money, profit = (n - 1, dp[n - 1], prices[n - 1], 0)\nwhile i >= 0:\n profit = max(profit, mon... | <|body_start_0|>
if not prices:
return 0
n = len(prices)
dp, money, profit = ([], prices[0], 0)
for i in range(n):
profit = max(profit, prices[i] - money)
money = min(money, prices[i])
dp.append(profit)
i, ans, money, profit = (n - ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
... | stack_v2_sparse_classes_36k_train_013715 | 3,922 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type prices: List[int... | 4 | stack_v2_sparse_classes_30k_train_016196 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit(self, prices): :type prices: L... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit(self, prices): :type prices: L... | a2cd0dc5e098080df87c4fb57d16877d21ca47a3 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
if not prices:
return 0
n = len(prices)
dp, money, profit = ([], prices[0], 0)
for i in range(n):
profit = max(profit, prices[i] - money)
money = min(mon... | the_stack_v2_python_sparse | 0123_Best_Time_to_Buy_and_Sell_Stock_III/solution.py | benjaminhuanghuang/ben-leetcode | train | 1 | |
fd7c2e83d33918e5bdeaaee4ef08f5e2f1eb359c | [
"self._repeat_interval = repeat\nself._wait_ticks = initial_delay\nif time_based:\n self._tick_generator = pygame.time.Clock().tick\nelse:\n self._tick_generator = lambda: 1",
"self._wait_ticks -= self._tick_generator()\nif self._wait_ticks <= 0:\n self._wait_ticks = self._repeat_interval\n return Tru... | <|body_start_0|>
self._repeat_interval = repeat
self._wait_ticks = initial_delay
if time_based:
self._tick_generator = pygame.time.Clock().tick
else:
self._tick_generator = lambda: 1
<|end_body_0|>
<|body_start_1|>
self._wait_ticks -= self._tick_generator... | A simple class to manage periodic events based on either the number of cycles/ticks passed or time passed. Typical Code Usage: ticker = TickRepeater(20) while <condition>: if ticker.tick(): <do periodic work> | TickRepeater | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TickRepeater:
"""A simple class to manage periodic events based on either the number of cycles/ticks passed or time passed. Typical Code Usage: ticker = TickRepeater(20) while <condition>: if ticker.tick(): <do periodic work>"""
def __init__(self, repeat: int, initial_delay: int=0, time_base... | stack_v2_sparse_classes_36k_train_013716 | 7,343 | permissive | [
{
"docstring": "Sets up a tick counter with a specific periodicity and initial delay. :param repeat: number of ticks to wait between executions :param initial_delay: initial number of ticks to wait before the first execution",
"name": "__init__",
"signature": "def __init__(self, repeat: int, initial_del... | 2 | stack_v2_sparse_classes_30k_train_016884 | Implement the Python class `TickRepeater` described below.
Class description:
A simple class to manage periodic events based on either the number of cycles/ticks passed or time passed. Typical Code Usage: ticker = TickRepeater(20) while <condition>: if ticker.tick(): <do periodic work>
Method signatures and docstring... | Implement the Python class `TickRepeater` described below.
Class description:
A simple class to manage periodic events based on either the number of cycles/ticks passed or time passed. Typical Code Usage: ticker = TickRepeater(20) while <condition>: if ticker.tick(): <do periodic work>
Method signatures and docstring... | 652eb52f2ac7f65f9b3bec93702caec866775e98 | <|skeleton|>
class TickRepeater:
"""A simple class to manage periodic events based on either the number of cycles/ticks passed or time passed. Typical Code Usage: ticker = TickRepeater(20) while <condition>: if ticker.tick(): <do periodic work>"""
def __init__(self, repeat: int, initial_delay: int=0, time_base... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TickRepeater:
"""A simple class to manage periodic events based on either the number of cycles/ticks passed or time passed. Typical Code Usage: ticker = TickRepeater(20) while <condition>: if ticker.tick(): <do periodic work>"""
def __init__(self, repeat: int, initial_delay: int=0, time_based=False):
... | the_stack_v2_python_sparse | minesweeper/utils.py | tmthyln/deepminesweeper | train | 2 |
edb81e19985485f259300ec0c86f0f83ca151307 | [
"def callback(*_):\n root = self.master.winfo_toplevel()\n root.event_generate(sequence)\nreturn callback",
"super().__init__(parent, **kwargs)\nself.settings = settings\nhelp_menu = tk.Menu(self, tearoff=False)\nhelp_menu.add_command(label='About…', command=self.show_about)\nfile_menu = tk.Menu(self, tearo... | <|body_start_0|>
def callback(*_):
root = self.master.winfo_toplevel()
root.event_generate(sequence)
return callback
<|end_body_0|>
<|body_start_1|>
super().__init__(parent, **kwargs)
self.settings = settings
help_menu = tk.Menu(self, tearoff=False)
... | The Application's main menu | MainMenu | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MainMenu:
"""The Application's main menu"""
def _event(self, sequence):
"""Return a callback function that generates the sequence"""
<|body_0|>
def __init__(self, parent, settings, **kwargs):
"""Constructor for MainMenu arguments: parent - The parent widget setti... | stack_v2_sparse_classes_36k_train_013717 | 2,215 | permissive | [
{
"docstring": "Return a callback function that generates the sequence",
"name": "_event",
"signature": "def _event(self, sequence)"
},
{
"docstring": "Constructor for MainMenu arguments: parent - The parent widget settings - a dict containing Tkinter variables",
"name": "__init__",
"sig... | 3 | stack_v2_sparse_classes_30k_train_002964 | Implement the Python class `MainMenu` described below.
Class description:
The Application's main menu
Method signatures and docstrings:
- def _event(self, sequence): Return a callback function that generates the sequence
- def __init__(self, parent, settings, **kwargs): Constructor for MainMenu arguments: parent - Th... | Implement the Python class `MainMenu` described below.
Class description:
The Application's main menu
Method signatures and docstrings:
- def _event(self, sequence): Return a callback function that generates the sequence
- def __init__(self, parent, settings, **kwargs): Constructor for MainMenu arguments: parent - Th... | 9e9c7468982992d87358be09c11c2cfaaaecd615 | <|skeleton|>
class MainMenu:
"""The Application's main menu"""
def _event(self, sequence):
"""Return a callback function that generates the sequence"""
<|body_0|>
def __init__(self, parent, settings, **kwargs):
"""Constructor for MainMenu arguments: parent - The parent widget setti... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MainMenu:
"""The Application's main menu"""
def _event(self, sequence):
"""Return a callback function that generates the sequence"""
def callback(*_):
root = self.master.winfo_toplevel()
root.event_generate(sequence)
return callback
def __init__(self, ... | the_stack_v2_python_sparse | Chapter08/ABQ_Data_Entry/abq_data_entry/mainmenu.py | LihengGong/Python-GUI-Programming-with-Tkinter-2E | train | 0 |
de6849597c5d723fe2cc65243a26ebd859d292d6 | [
"file = './FilteredData/filteredData.csv'\nmapData = MapDataSelector(file)\nt = mapData.getYearData(2000, ['Hail'])\nself.assertEqual(len(t), 2)\nself.assertEqual(len(t[0]), len(t[1]))\nself.assertTrue(len(t[0]) > 0)",
"file = './FilteredData/filteredData.csv'\nmapData = MapDataSelector(file)\nt = mapData.getYear... | <|body_start_0|>
file = './FilteredData/filteredData.csv'
mapData = MapDataSelector(file)
t = mapData.getYearData(2000, ['Hail'])
self.assertEqual(len(t), 2)
self.assertEqual(len(t[0]), len(t[1]))
self.assertTrue(len(t[0]) > 0)
<|end_body_0|>
<|body_start_1|>
fil... | MapDataTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MapDataTests:
def test_lengthHail(self):
"""Tests lengths match"""
<|body_0|>
def test_lengthMulti(self):
"""Tests lengths match with multiselect"""
<|body_1|>
def test_lonMulti(self):
"""Tests lons valid"""
<|body_2|>
<|end_skeleton|>
... | stack_v2_sparse_classes_36k_train_013718 | 1,114 | no_license | [
{
"docstring": "Tests lengths match",
"name": "test_lengthHail",
"signature": "def test_lengthHail(self)"
},
{
"docstring": "Tests lengths match with multiselect",
"name": "test_lengthMulti",
"signature": "def test_lengthMulti(self)"
},
{
"docstring": "Tests lons valid",
"nam... | 3 | null | Implement the Python class `MapDataTests` described below.
Class description:
Implement the MapDataTests class.
Method signatures and docstrings:
- def test_lengthHail(self): Tests lengths match
- def test_lengthMulti(self): Tests lengths match with multiselect
- def test_lonMulti(self): Tests lons valid | Implement the Python class `MapDataTests` described below.
Class description:
Implement the MapDataTests class.
Method signatures and docstrings:
- def test_lengthHail(self): Tests lengths match
- def test_lengthMulti(self): Tests lengths match with multiselect
- def test_lonMulti(self): Tests lons valid
<|skeleton|... | dc9185cbc5e65650d985ebecf877a157c8c19a13 | <|skeleton|>
class MapDataTests:
def test_lengthHail(self):
"""Tests lengths match"""
<|body_0|>
def test_lengthMulti(self):
"""Tests lengths match with multiselect"""
<|body_1|>
def test_lonMulti(self):
"""Tests lons valid"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MapDataTests:
def test_lengthHail(self):
"""Tests lengths match"""
file = './FilteredData/filteredData.csv'
mapData = MapDataSelector(file)
t = mapData.getYearData(2000, ['Hail'])
self.assertEqual(len(t), 2)
self.assertEqual(len(t[0]), len(t[1]))
self.as... | the_stack_v2_python_sparse | rb2540/MapDataTests.py | ds-ga-1007/final_project | train | 0 | |
8e09b3c90ae813ea92a0fea935d9497c4608d498 | [
"super(LayerNorm, self).__init__()\nself.a_2 = nn.Parameter(torch.ones(features))\nself.b_2 = nn.Parameter(torch.zeros(features))\nself.eps = eps",
"mean = x.mean(-1, keepdim=True)\nstd = x.std(-1, keepdim=True)\nreturn self.a_2 * (x - mean) / (std + self.eps) + self.b_2"
] | <|body_start_0|>
super(LayerNorm, self).__init__()
self.a_2 = nn.Parameter(torch.ones(features))
self.b_2 = nn.Parameter(torch.zeros(features))
self.eps = eps
<|end_body_0|>
<|body_start_1|>
mean = x.mean(-1, keepdim=True)
std = x.std(-1, keepdim=True)
return sel... | LayerNorm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LayerNorm:
def __init__(self, features, eps=1e-06):
"""param features: number of features in input to normalzie param eps: epsilon to ensure stabiltiy in normalizing"""
<|body_0|>
def forward(self, x):
"""Normalizes the input params x: tensor to normalize return: nor... | stack_v2_sparse_classes_36k_train_013719 | 11,359 | no_license | [
{
"docstring": "param features: number of features in input to normalzie param eps: epsilon to ensure stabiltiy in normalizing",
"name": "__init__",
"signature": "def __init__(self, features, eps=1e-06)"
},
{
"docstring": "Normalizes the input params x: tensor to normalize return: normalizes the... | 2 | stack_v2_sparse_classes_30k_train_018013 | Implement the Python class `LayerNorm` described below.
Class description:
Implement the LayerNorm class.
Method signatures and docstrings:
- def __init__(self, features, eps=1e-06): param features: number of features in input to normalzie param eps: epsilon to ensure stabiltiy in normalizing
- def forward(self, x): ... | Implement the Python class `LayerNorm` described below.
Class description:
Implement the LayerNorm class.
Method signatures and docstrings:
- def __init__(self, features, eps=1e-06): param features: number of features in input to normalzie param eps: epsilon to ensure stabiltiy in normalizing
- def forward(self, x): ... | c0b2f83a7d4c0d5fa5effb7584e0e0acc6f877a0 | <|skeleton|>
class LayerNorm:
def __init__(self, features, eps=1e-06):
"""param features: number of features in input to normalzie param eps: epsilon to ensure stabiltiy in normalizing"""
<|body_0|>
def forward(self, x):
"""Normalizes the input params x: tensor to normalize return: nor... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LayerNorm:
def __init__(self, features, eps=1e-06):
"""param features: number of features in input to normalzie param eps: epsilon to ensure stabiltiy in normalizing"""
super(LayerNorm, self).__init__()
self.a_2 = nn.Parameter(torch.ones(features))
self.b_2 = nn.Parameter(torch... | the_stack_v2_python_sparse | src/main/base_models/architectures/Transformer.py | iesl/institution_hierarchies | train | 3 | |
548b005eb3e0043b0393c3a2559eac1add0e6a5f | [
"i, j = (len(S) - 1, 0)\nres = []\nwhile i >= 0:\n if S[i] == '-':\n i -= 1\n continue\n if j == K:\n res.append('-')\n j = 0\n continue\n else:\n res.append(S[i].upper())\n j += 1\n i -= 1\nreturn ''.join(res[::-1])",
"S_ = S.replace('-', '')\nn = len(S_) ... | <|body_start_0|>
i, j = (len(S) - 1, 0)
res = []
while i >= 0:
if S[i] == '-':
i -= 1
continue
if j == K:
res.append('-')
j = 0
continue
else:
res.append(S[i].upper... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def licenseKeyFormatting(self, S, K):
""":type S: str :type K: int :rtype: str"""
<|body_0|>
def licenseKeyFormatting2(self, S, K):
""":type S: str :type K: int :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
i, j = (len(S) - 1... | stack_v2_sparse_classes_36k_train_013720 | 1,763 | no_license | [
{
"docstring": ":type S: str :type K: int :rtype: str",
"name": "licenseKeyFormatting",
"signature": "def licenseKeyFormatting(self, S, K)"
},
{
"docstring": ":type S: str :type K: int :rtype: str",
"name": "licenseKeyFormatting2",
"signature": "def licenseKeyFormatting2(self, S, K)"
}... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def licenseKeyFormatting(self, S, K): :type S: str :type K: int :rtype: str
- def licenseKeyFormatting2(self, S, K): :type S: str :type K: int :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def licenseKeyFormatting(self, S, K): :type S: str :type K: int :rtype: str
- def licenseKeyFormatting2(self, S, K): :type S: str :type K: int :rtype: str
<|skeleton|>
class Sol... | 546cbce06fcd4bc34e16d42b5d5eb68fb25e16a9 | <|skeleton|>
class Solution:
def licenseKeyFormatting(self, S, K):
""":type S: str :type K: int :rtype: str"""
<|body_0|>
def licenseKeyFormatting2(self, S, K):
""":type S: str :type K: int :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def licenseKeyFormatting(self, S, K):
""":type S: str :type K: int :rtype: str"""
i, j = (len(S) - 1, 0)
res = []
while i >= 0:
if S[i] == '-':
i -= 1
continue
if j == K:
res.append('-')
... | the_stack_v2_python_sparse | leetcode/solution_482.py | eselyavka/python | train | 0 | |
8386cc3e6407247fb98fe8bd5e810d6c31436eb9 | [
"self.name = name\nself.age = age\nPerson.Count += 1",
"print('name is ', self.name)\nprint('age is ', self.age)\nprint('there are ' + str(Person.Count) + ' person in the class')"
] | <|body_start_0|>
self.name = name
self.age = age
Person.Count += 1
<|end_body_0|>
<|body_start_1|>
print('name is ', self.name)
print('age is ', self.age)
print('there are ' + str(Person.Count) + ' person in the class')
<|end_body_1|>
| classdocs | Person | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Person:
"""classdocs"""
def __init__(self, name, age):
"""Constructor @param: name the name of this person @param: age the age of this person"""
<|body_0|>
def detail(self):
"""the detail infomation of this person"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_36k_train_013721 | 889 | no_license | [
{
"docstring": "Constructor @param: name the name of this person @param: age the age of this person",
"name": "__init__",
"signature": "def __init__(self, name, age)"
},
{
"docstring": "the detail infomation of this person",
"name": "detail",
"signature": "def detail(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011693 | Implement the Python class `Person` described below.
Class description:
classdocs
Method signatures and docstrings:
- def __init__(self, name, age): Constructor @param: name the name of this person @param: age the age of this person
- def detail(self): the detail infomation of this person | Implement the Python class `Person` described below.
Class description:
classdocs
Method signatures and docstrings:
- def __init__(self, name, age): Constructor @param: name the name of this person @param: age the age of this person
- def detail(self): the detail infomation of this person
<|skeleton|>
class Person:
... | c7dd6def7ec081b483c3a4cfe334d17c049224c2 | <|skeleton|>
class Person:
"""classdocs"""
def __init__(self, name, age):
"""Constructor @param: name the name of this person @param: age the age of this person"""
<|body_0|>
def detail(self):
"""the detail infomation of this person"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Person:
"""classdocs"""
def __init__(self, name, age):
"""Constructor @param: name the name of this person @param: age the age of this person"""
self.name = name
self.age = age
Person.Count += 1
def detail(self):
"""the detail infomation of this person"""
... | the_stack_v2_python_sparse | offline-only/tkinter/jicheng.py | liucz25/FSGL | train | 1 |
13a7a0d8e083f8a893d1d53d05a7aaf4630aa5d9 | [
"self.object = form.save()\nif hasattr(self, 'on_success'):\n self.on_success(form)\nurl = '' if self.reload_on_success else self.get_success_url()\nreturn HttpResponse(url)",
"resp = super(AjaxFormView, self).form_invalid(form)\nresp.status_code = 403\nreturn resp"
] | <|body_start_0|>
self.object = form.save()
if hasattr(self, 'on_success'):
self.on_success(form)
url = '' if self.reload_on_success else self.get_success_url()
return HttpResponse(url)
<|end_body_0|>
<|body_start_1|>
resp = super(AjaxFormView, self).form_invalid(form... | a mixin used for ajax based forms. see `forms.js`. | AjaxFormView | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AjaxFormView:
"""a mixin used for ajax based forms. see `forms.js`."""
def form_valid(self, form):
"""returns link to redirect or empty string to reload as text/html"""
<|body_0|>
def form_invalid(self, form):
"""returns an 403 http response with form, including ... | stack_v2_sparse_classes_36k_train_013722 | 6,925 | permissive | [
{
"docstring": "returns link to redirect or empty string to reload as text/html",
"name": "form_valid",
"signature": "def form_valid(self, form)"
},
{
"docstring": "returns an 403 http response with form, including errors, as text/html",
"name": "form_invalid",
"signature": "def form_inv... | 2 | null | Implement the Python class `AjaxFormView` described below.
Class description:
a mixin used for ajax based forms. see `forms.js`.
Method signatures and docstrings:
- def form_valid(self, form): returns link to redirect or empty string to reload as text/html
- def form_invalid(self, form): returns an 403 http response ... | Implement the Python class `AjaxFormView` described below.
Class description:
a mixin used for ajax based forms. see `forms.js`.
Method signatures and docstrings:
- def form_valid(self, form): returns link to redirect or empty string to reload as text/html
- def form_invalid(self, form): returns an 403 http response ... | 549438b126797a252dbd554179b03764566b946a | <|skeleton|>
class AjaxFormView:
"""a mixin used for ajax based forms. see `forms.js`."""
def form_valid(self, form):
"""returns link to redirect or empty string to reload as text/html"""
<|body_0|>
def form_invalid(self, form):
"""returns an 403 http response with form, including ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AjaxFormView:
"""a mixin used for ajax based forms. see `forms.js`."""
def form_valid(self, form):
"""returns link to redirect or empty string to reload as text/html"""
self.object = form.save()
if hasattr(self, 'on_success'):
self.on_success(form)
url = '' if ... | the_stack_v2_python_sparse | src/ocd/base_views.py | yaniv14/OpenCommunity | train | 0 |
476dbafcf90978aa393edcd047dadd0419ca1b63 | [
"ref = 'tttt'\nquery = 'ttAtt'\nmatch = 4\nmismatch = 2\ngap_extend_penalty = 2\ngap_open_penalty = 4\naligner = ssw.Aligner.construct(match_score=match, mismatch_penalty=mismatch, gap_opening_penalty=gap_open_penalty, gap_extending_penalty=gap_extend_penalty)\nfilter_ = ssw.Filter()\nlength = aligner.set_reference... | <|body_start_0|>
ref = 'tttt'
query = 'ttAtt'
match = 4
mismatch = 2
gap_extend_penalty = 2
gap_open_penalty = 4
aligner = ssw.Aligner.construct(match_score=match, mismatch_penalty=mismatch, gap_opening_penalty=gap_open_penalty, gap_extending_penalty=gap_extend_pe... | Tests for the wrapped SSW aligner in a way that fails with gcc5.4. | SswGccTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SswGccTest:
"""Tests for the wrapped SSW aligner in a way that fails with gcc5.4."""
def test_short(self):
"""Test very short strings."""
<|body_0|>
def test_longer(self):
"""Test longer strings, so the second-best alignment is considered."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_013723 | 3,151 | permissive | [
{
"docstring": "Test very short strings.",
"name": "test_short",
"signature": "def test_short(self)"
},
{
"docstring": "Test longer strings, so the second-best alignment is considered.",
"name": "test_longer",
"signature": "def test_longer(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002655 | Implement the Python class `SswGccTest` described below.
Class description:
Tests for the wrapped SSW aligner in a way that fails with gcc5.4.
Method signatures and docstrings:
- def test_short(self): Test very short strings.
- def test_longer(self): Test longer strings, so the second-best alignment is considered. | Implement the Python class `SswGccTest` described below.
Class description:
Tests for the wrapped SSW aligner in a way that fails with gcc5.4.
Method signatures and docstrings:
- def test_short(self): Test very short strings.
- def test_longer(self): Test longer strings, so the second-best alignment is considered.
<... | ab068c4588a02e2167051bd9e74c0c9579462b51 | <|skeleton|>
class SswGccTest:
"""Tests for the wrapped SSW aligner in a way that fails with gcc5.4."""
def test_short(self):
"""Test very short strings."""
<|body_0|>
def test_longer(self):
"""Test longer strings, so the second-best alignment is considered."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SswGccTest:
"""Tests for the wrapped SSW aligner in a way that fails with gcc5.4."""
def test_short(self):
"""Test very short strings."""
ref = 'tttt'
query = 'ttAtt'
match = 4
mismatch = 2
gap_extend_penalty = 2
gap_open_penalty = 4
aligner... | the_stack_v2_python_sparse | deepvariant/realigner/python/ssw_misc_test.py | google/deepvariant | train | 3,002 |
cc4f29a161eab13f9418823efcdea37e9c449c29 | [
"email_token = data\ntime = timezone.now() - timezone.timedelta(days=7)\ntry:\n token = Token.objects.get(key=email_token)\nexcept Token.DoesNotExist:\n raise serializers.ValidationError('Invalid token.')\nif token.created < time:\n raise serializers.ValidationError('Expired token.')\nself.context['token']... | <|body_start_0|>
email_token = data
time = timezone.now() - timezone.timedelta(days=7)
try:
token = Token.objects.get(key=email_token)
except Token.DoesNotExist:
raise serializers.ValidationError('Invalid token.')
if token.created < time:
raise... | Verify user's account and change status 'is_active' to true | VerifyAccountSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VerifyAccountSerializer:
"""Verify user's account and change status 'is_active' to true"""
def validate_token(self, data):
"""Validate the token."""
<|body_0|>
def save(self, **kwargs):
"""Update user's active status and token."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k_train_013724 | 10,085 | no_license | [
{
"docstring": "Validate the token.",
"name": "validate_token",
"signature": "def validate_token(self, data)"
},
{
"docstring": "Update user's active status and token.",
"name": "save",
"signature": "def save(self, **kwargs)"
}
] | 2 | null | Implement the Python class `VerifyAccountSerializer` described below.
Class description:
Verify user's account and change status 'is_active' to true
Method signatures and docstrings:
- def validate_token(self, data): Validate the token.
- def save(self, **kwargs): Update user's active status and token. | Implement the Python class `VerifyAccountSerializer` described below.
Class description:
Verify user's account and change status 'is_active' to true
Method signatures and docstrings:
- def validate_token(self, data): Validate the token.
- def save(self, **kwargs): Update user's active status and token.
<|skeleton|>
... | e2f4557e2a85405838c6c9f65f1cb8a5f60a35ba | <|skeleton|>
class VerifyAccountSerializer:
"""Verify user's account and change status 'is_active' to true"""
def validate_token(self, data):
"""Validate the token."""
<|body_0|>
def save(self, **kwargs):
"""Update user's active status and token."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VerifyAccountSerializer:
"""Verify user's account and change status 'is_active' to true"""
def validate_token(self, data):
"""Validate the token."""
email_token = data
time = timezone.now() - timezone.timedelta(days=7)
try:
token = Token.objects.get(key=email_t... | the_stack_v2_python_sparse | apps/users/serializers/users.py | HebertFerrer/WebMaster-back-end | train | 0 |
3ac54465dc818aa85a46d13be5f3255540181706 | [
"num = len(gas)\nfor i in range(num):\n remain = gas[i] - cost[i]\n if remain < 0:\n continue\n else:\n j = i\n while remain >= 0:\n j = (j + 1) % num\n remain += gas[j] - cost[j]\n if remain < 0:\n break\n if j == i and remain... | <|body_start_0|>
num = len(gas)
for i in range(num):
remain = gas[i] - cost[i]
if remain < 0:
continue
else:
j = i
while remain >= 0:
j = (j + 1) % num
remain += gas[j] - cost[j]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_0|>
def canCompleteCircuit2(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_36k_train_013725 | 1,428 | no_license | [
{
"docstring": ":type gas: List[int] :type cost: List[int] :rtype: int",
"name": "canCompleteCircuit",
"signature": "def canCompleteCircuit(self, gas, cost)"
},
{
"docstring": ":type gas: List[int] :type cost: List[int] :rtype: int",
"name": "canCompleteCircuit2",
"signature": "def canCo... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canCompleteCircuit(self, gas, cost): :type gas: List[int] :type cost: List[int] :rtype: int
- def canCompleteCircuit2(self, gas, cost): :type gas: List[int] :type cost: List[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canCompleteCircuit(self, gas, cost): :type gas: List[int] :type cost: List[int] :rtype: int
- def canCompleteCircuit2(self, gas, cost): :type gas: List[int] :type cost: List[... | 0fc4c7af59246e3064db41989a45d9db413a624b | <|skeleton|>
class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_0|>
def canCompleteCircuit2(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
num = len(gas)
for i in range(num):
remain = gas[i] - cost[i]
if remain < 0:
continue
else:
j = i
... | the_stack_v2_python_sparse | 134. Gas Station/gas.py | Macielyoung/LeetCode | train | 1 | |
4b5368c8c9b7ecbf6a968475da7d330f481e5731 | [
"editor_class: Optional[Type[MP3Editor]] = None\nif editor is None:\n editor_class = EDITORS[0]\nelse:\n editor = editor.lower()\n for ecls in EDITORS:\n if ecls.__name__.lower() == editor:\n editor_class = ecls\n break\nif editor_class is None:\n raise NotImplementedError(f... | <|body_start_0|>
editor_class: Optional[Type[MP3Editor]] = None
if editor is None:
editor_class = EDITORS[0]
else:
editor = editor.lower()
for ecls in EDITORS:
if ecls.__name__.lower() == editor:
editor_class = ecls
... | Class for creating MP3Editor and MP3Parser instances | MP3Factory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MP3Factory:
"""Class for creating MP3Editor and MP3Parser instances"""
def create_editor(cls, editor: Optional[str]=None) -> MP3Editor:
"""Create an MP3Editor. If editor==None, the factory will pick the first one that is supported."""
<|body_0|>
def create_parser(cls, pa... | stack_v2_sparse_classes_36k_train_013726 | 1,969 | no_license | [
{
"docstring": "Create an MP3Editor. If editor==None, the factory will pick the first one that is supported.",
"name": "create_editor",
"signature": "def create_editor(cls, editor: Optional[str]=None) -> MP3Editor"
},
{
"docstring": "Create an MP3Parser. If parser==None, the factory will pick th... | 2 | stack_v2_sparse_classes_30k_train_001488 | Implement the Python class `MP3Factory` described below.
Class description:
Class for creating MP3Editor and MP3Parser instances
Method signatures and docstrings:
- def create_editor(cls, editor: Optional[str]=None) -> MP3Editor: Create an MP3Editor. If editor==None, the factory will pick the first one that is suppor... | Implement the Python class `MP3Factory` described below.
Class description:
Class for creating MP3Editor and MP3Parser instances
Method signatures and docstrings:
- def create_editor(cls, editor: Optional[str]=None) -> MP3Editor: Create an MP3Editor. If editor==None, the factory will pick the first one that is suppor... | ede4d295d90e81bf2cfcd52ab894273e139c3730 | <|skeleton|>
class MP3Factory:
"""Class for creating MP3Editor and MP3Parser instances"""
def create_editor(cls, editor: Optional[str]=None) -> MP3Editor:
"""Create an MP3Editor. If editor==None, the factory will pick the first one that is supported."""
<|body_0|>
def create_parser(cls, pa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MP3Factory:
"""Class for creating MP3Editor and MP3Parser instances"""
def create_editor(cls, editor: Optional[str]=None) -> MP3Editor:
"""Create an MP3Editor. If editor==None, the factory will pick the first one that is supported."""
editor_class: Optional[Type[MP3Editor]] = None
... | the_stack_v2_python_sparse | musicbingo/mp3/factory.py | jdizzle1988/music-bingo | train | 0 |
7c05fb6bdc88876cce6ca8e3aac44c7a98c1003a | [
"if MUTED:\n return MutedSound()\nelse:\n return pygame.mixer.Sound(os.path.join('data', 'sounds', name))",
"if not MUTED and False:\n pygame.mixer.music.load(os.path.join('data', 'music', name))\n pygame.mixer.music.play(-1)"
] | <|body_start_0|>
if MUTED:
return MutedSound()
else:
return pygame.mixer.Sound(os.path.join('data', 'sounds', name))
<|end_body_0|>
<|body_start_1|>
if not MUTED and False:
pygame.mixer.music.load(os.path.join('data', 'music', name))
pygame.mixer.... | Handle sounds | _Sounds | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Sounds:
"""Handle sounds"""
def getSound(self, name):
"""Return a new sound"""
<|body_0|>
def playMusic(self, name):
"""Return a new sound"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if MUTED:
return MutedSound()
else:
... | stack_v2_sparse_classes_36k_train_013727 | 638 | permissive | [
{
"docstring": "Return a new sound",
"name": "getSound",
"signature": "def getSound(self, name)"
},
{
"docstring": "Return a new sound",
"name": "playMusic",
"signature": "def playMusic(self, name)"
}
] | 2 | null | Implement the Python class `_Sounds` described below.
Class description:
Handle sounds
Method signatures and docstrings:
- def getSound(self, name): Return a new sound
- def playMusic(self, name): Return a new sound | Implement the Python class `_Sounds` described below.
Class description:
Handle sounds
Method signatures and docstrings:
- def getSound(self, name): Return a new sound
- def playMusic(self, name): Return a new sound
<|skeleton|>
class _Sounds:
"""Handle sounds"""
def getSound(self, name):
"""Return ... | cee7e4b5dc28c57a6c912852827652b5f51005ae | <|skeleton|>
class _Sounds:
"""Handle sounds"""
def getSound(self, name):
"""Return a new sound"""
<|body_0|>
def playMusic(self, name):
"""Return a new sound"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _Sounds:
"""Handle sounds"""
def getSound(self, name):
"""Return a new sound"""
if MUTED:
return MutedSound()
else:
return pygame.mixer.Sound(os.path.join('data', 'sounds', name))
def playMusic(self, name):
"""Return a new sound"""
if n... | the_stack_v2_python_sparse | IE_games_8/unvisible-0.4.0/unvisible/sound.py | IndexErrorCoders/PygamesCompilation | train | 2 |
992801d21d037431328b9c8631a8fd2d3f5b167d | [
"if move_nr == 0:\n return hand\ncolor_played = color_of_card[current_trick[0]]\nhave_color_played = np.sum(hand * color_masks[color_played, :]) > 0\nif have_color_played:\n return hand * color_masks[color_played, :]\nelse:\n return hand",
"hearts = color_masks[HEARTS, :]\npoints = -hearts[trick].sum()\n... | <|body_start_0|>
if move_nr == 0:
return hand
color_played = color_of_card[current_trick[0]]
have_color_played = np.sum(hand * color_masks[color_played, :]) > 0
if have_color_played:
return hand * color_masks[color_played, :]
else:
return hand
... | Class for implementing rules of the jass game for hearts. The rules are as follows: - The winner of a trick is determined by the basic jass rules without trump, i.e. like "obe" - Each heart card gives a penalty of 1 point. - The SQ card gives a penalty of 9 points. - The valid cards are determined like in 'obe', i.e. y... | RuleHearts | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RuleHearts:
"""Class for implementing rules of the jass game for hearts. The rules are as follows: - The winner of a trick is determined by the basic jass rules without trump, i.e. like "obe" - Each heart card gives a penalty of 1 point. - The SQ card gives a penalty of 9 points. - The valid card... | stack_v2_sparse_classes_36k_train_013728 | 3,399 | no_license | [
{
"docstring": "Get the valid cards that can be played by the current player. Args: hand: one-hot encoded array of hands owned by the player current_trick: array with the indices of the cards for the previous moves in the current trick move_nr: which move the player has to make in the current trick, 0 for first... | 3 | null | Implement the Python class `RuleHearts` described below.
Class description:
Class for implementing rules of the jass game for hearts. The rules are as follows: - The winner of a trick is determined by the basic jass rules without trump, i.e. like "obe" - Each heart card gives a penalty of 1 point. - The SQ card gives ... | Implement the Python class `RuleHearts` described below.
Class description:
Class for implementing rules of the jass game for hearts. The rules are as follows: - The winner of a trick is determined by the basic jass rules without trump, i.e. like "obe" - Each heart card gives a penalty of 1 point. - The SQ card gives ... | 73b59f773f138e390951849f982de865d4f667b5 | <|skeleton|>
class RuleHearts:
"""Class for implementing rules of the jass game for hearts. The rules are as follows: - The winner of a trick is determined by the basic jass rules without trump, i.e. like "obe" - Each heart card gives a penalty of 1 point. - The SQ card gives a penalty of 9 points. - The valid card... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RuleHearts:
"""Class for implementing rules of the jass game for hearts. The rules are as follows: - The winner of a trick is determined by the basic jass rules without trump, i.e. like "obe" - Each heart card gives a penalty of 1 point. - The SQ card gives a penalty of 9 points. - The valid cards are determi... | the_stack_v2_python_sparse | source/jass/base/rule_hearts.py | FAIKUE/DL4G | train | 0 |
e841e63d18c81995bc5e365156c9cfaa1a026573 | [
"if not triangle:\n return 0\nn = len(triangle)\ndp = [[0] * (i + 1) for i in range(n)]\ndp[0][0] = triangle[0][0]\nfor i in range(1, n):\n dp[i][0] = dp[i - 1][0] + triangle[i][0]\n dp[i][-1] = dp[i - 1][-1] + triangle[i][-1]\nfor i in range(2, n):\n for j in range(1, i):\n dp[i][j] = min(dp[i -... | <|body_start_0|>
if not triangle:
return 0
n = len(triangle)
dp = [[0] * (i + 1) for i in range(n)]
dp[0][0] = triangle[0][0]
for i in range(1, n):
dp[i][0] = dp[i - 1][0] + triangle[i][0]
dp[i][-1] = dp[i - 1][-1] + triangle[i][-1]
for... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minimumTotal(self, triangle):
"""自上向下dp 空间复杂度0(n^2) :type triangle: List[List[int]] :rtype: int"""
<|body_0|>
def minimumTotal2(self, triangle):
"""自顶乡下dp 空间复杂度O(n^2) 代码复杂度优化 加一行不用初始化dp :param triangle: :return:"""
<|body_1|>
def minimumTot... | stack_v2_sparse_classes_36k_train_013729 | 2,512 | no_license | [
{
"docstring": "自上向下dp 空间复杂度0(n^2) :type triangle: List[List[int]] :rtype: int",
"name": "minimumTotal",
"signature": "def minimumTotal(self, triangle)"
},
{
"docstring": "自顶乡下dp 空间复杂度O(n^2) 代码复杂度优化 加一行不用初始化dp :param triangle: :return:",
"name": "minimumTotal2",
"signature": "def minimum... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minimumTotal(self, triangle): 自上向下dp 空间复杂度0(n^2) :type triangle: List[List[int]] :rtype: int
- def minimumTotal2(self, triangle): 自顶乡下dp 空间复杂度O(n^2) 代码复杂度优化 加一行不用初始化dp :param... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minimumTotal(self, triangle): 自上向下dp 空间复杂度0(n^2) :type triangle: List[List[int]] :rtype: int
- def minimumTotal2(self, triangle): 自顶乡下dp 空间复杂度O(n^2) 代码复杂度优化 加一行不用初始化dp :param... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def minimumTotal(self, triangle):
"""自上向下dp 空间复杂度0(n^2) :type triangle: List[List[int]] :rtype: int"""
<|body_0|>
def minimumTotal2(self, triangle):
"""自顶乡下dp 空间复杂度O(n^2) 代码复杂度优化 加一行不用初始化dp :param triangle: :return:"""
<|body_1|>
def minimumTot... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minimumTotal(self, triangle):
"""自上向下dp 空间复杂度0(n^2) :type triangle: List[List[int]] :rtype: int"""
if not triangle:
return 0
n = len(triangle)
dp = [[0] * (i + 1) for i in range(n)]
dp[0][0] = triangle[0][0]
for i in range(1, n):
... | the_stack_v2_python_sparse | 120_三角形最小路径和.py | lovehhf/LeetCode | train | 0 | |
d9561d872188c1486a844288ad13e1b71d27b1ae | [
"errors = {}\nif 'delivery_date' in bundle.data:\n try:\n dateutil.parser.parse(bundle.data['delivery_date'])\n except Exception:\n logger.error('Missing delivery date.')\n errors['delivery_date'] = 'Not a valid date format.'\nif 'vat' in bundle.data:\n try:\n int(bundle.data['v... | <|body_start_0|>
errors = {}
if 'delivery_date' in bundle.data:
try:
dateutil.parser.parse(bundle.data['delivery_date'])
except Exception:
logger.error('Missing delivery date.')
errors['delivery_date'] = 'Not a valid date format.'
... | AcknowledgementValidation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AcknowledgementValidation:
def is_valid(self, bundle, request=None):
"""Validates that the data to be inputted into the model is valid"""
<|body_0|>
def _validate_item(self, item):
"""Validates that a data for an item is complete so that an order can be built"""
... | stack_v2_sparse_classes_36k_train_013730 | 4,295 | no_license | [
{
"docstring": "Validates that the data to be inputted into the model is valid",
"name": "is_valid",
"signature": "def is_valid(self, bundle, request=None)"
},
{
"docstring": "Validates that a data for an item is complete so that an order can be built",
"name": "_validate_item",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_013940 | Implement the Python class `AcknowledgementValidation` described below.
Class description:
Implement the AcknowledgementValidation class.
Method signatures and docstrings:
- def is_valid(self, bundle, request=None): Validates that the data to be inputted into the model is valid
- def _validate_item(self, item): Valid... | Implement the Python class `AcknowledgementValidation` described below.
Class description:
Implement the AcknowledgementValidation class.
Method signatures and docstrings:
- def is_valid(self, bundle, request=None): Validates that the data to be inputted into the model is valid
- def _validate_item(self, item): Valid... | bef520659a7316c861933f9609b6b9ca7d9f47ac | <|skeleton|>
class AcknowledgementValidation:
def is_valid(self, bundle, request=None):
"""Validates that the data to be inputted into the model is valid"""
<|body_0|>
def _validate_item(self, item):
"""Validates that a data for an item is complete so that an order can be built"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AcknowledgementValidation:
def is_valid(self, bundle, request=None):
"""Validates that the data to be inputted into the model is valid"""
errors = {}
if 'delivery_date' in bundle.data:
try:
dateutil.parser.parse(bundle.data['delivery_date'])
exce... | the_stack_v2_python_sparse | invoices/validation.py | charliephairoj/backend | train | 0 | |
230f5f17b1dc1a7d637581d25d54f89adaa38d6f | [
"msg = msg.view(size, -1, *msg.shape[1:])\nout = msg.mean(1)\nreturn out",
"col, row = es\nx_i, x_o = (x[row], x[col])\nmsg = ops.Concat(-1)((x_i, x_o))\nreturn (msg, col, len(x))"
] | <|body_start_0|>
msg = msg.view(size, -1, *msg.shape[1:])
out = msg.mean(1)
return out
<|end_body_0|>
<|body_start_1|>
col, row = es
x_i, x_o = (x[row], x[col])
msg = ops.Concat(-1)((x_i, x_o))
return (msg, col, len(x))
<|end_body_1|>
| Reimplementation of the Message-Passing class to allow more flexibility. | GNN | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GNN:
"""Reimplementation of the Message-Passing class to allow more flexibility."""
def aggregate(self, msg: Tensor, idx: Tensor, size: int, agg: str='mean') -> Tensor:
"""Parameters ---------- msg : Tensor [E, ..., dim * 2]. idx : Tensor [E]. size : int number of nodes. agg : str, o... | stack_v2_sparse_classes_36k_train_013731 | 9,199 | permissive | [
{
"docstring": "Parameters ---------- msg : Tensor [E, ..., dim * 2]. idx : Tensor [E]. size : int number of nodes. agg : str, optional only 3 types of aggregation are supported: 'add', 'mean' or 'max'. The default is \"mean\". Returns ------- Tensor aggregated node embeddings.",
"name": "aggregate",
"s... | 2 | stack_v2_sparse_classes_30k_train_009762 | Implement the Python class `GNN` described below.
Class description:
Reimplementation of the Message-Passing class to allow more flexibility.
Method signatures and docstrings:
- def aggregate(self, msg: Tensor, idx: Tensor, size: int, agg: str='mean') -> Tensor: Parameters ---------- msg : Tensor [E, ..., dim * 2]. i... | Implement the Python class `GNN` described below.
Class description:
Reimplementation of the Message-Passing class to allow more flexibility.
Method signatures and docstrings:
- def aggregate(self, msg: Tensor, idx: Tensor, size: int, agg: str='mean') -> Tensor: Parameters ---------- msg : Tensor [E, ..., dim * 2]. i... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class GNN:
"""Reimplementation of the Message-Passing class to allow more flexibility."""
def aggregate(self, msg: Tensor, idx: Tensor, size: int, agg: str='mean') -> Tensor:
"""Parameters ---------- msg : Tensor [E, ..., dim * 2]. idx : Tensor [E]. size : int number of nodes. agg : str, o... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GNN:
"""Reimplementation of the Message-Passing class to allow more flexibility."""
def aggregate(self, msg: Tensor, idx: Tensor, size: int, agg: str='mean') -> Tensor:
"""Parameters ---------- msg : Tensor [E, ..., dim * 2]. idx : Tensor [E]. size : int number of nodes. agg : str, optional only ... | the_stack_v2_python_sparse | research/gnn/nri-mpm/models/base.py | mindspore-ai/models | train | 301 |
6410d873e885b8c6df3a6876b17a9187d3d2fa19 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | MarkerTrackerServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MarkerTrackerServicer:
"""Missing associated documentation comment in .proto file."""
def TrackMarkers(self, request, context):
"""Streams MarkerData protobufs."""
<|body_0|>
def GetLatestMarkerData(self, request, context):
"""Retrieves the latest singular instan... | stack_v2_sparse_classes_36k_train_013732 | 4,316 | permissive | [
{
"docstring": "Streams MarkerData protobufs.",
"name": "TrackMarkers",
"signature": "def TrackMarkers(self, request, context)"
},
{
"docstring": "Retrieves the latest singular instance of MarkerData.",
"name": "GetLatestMarkerData",
"signature": "def GetLatestMarkerData(self, request, c... | 2 | null | Implement the Python class `MarkerTrackerServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def TrackMarkers(self, request, context): Streams MarkerData protobufs.
- def GetLatestMarkerData(self, request, context): Retrieves the l... | Implement the Python class `MarkerTrackerServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def TrackMarkers(self, request, context): Streams MarkerData protobufs.
- def GetLatestMarkerData(self, request, context): Retrieves the l... | 583f1de43e91cdd24d632d783872528eb1337480 | <|skeleton|>
class MarkerTrackerServicer:
"""Missing associated documentation comment in .proto file."""
def TrackMarkers(self, request, context):
"""Streams MarkerData protobufs."""
<|body_0|>
def GetLatestMarkerData(self, request, context):
"""Retrieves the latest singular instan... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MarkerTrackerServicer:
"""Missing associated documentation comment in .proto file."""
def TrackMarkers(self, request, context):
"""Streams MarkerData protobufs."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImple... | the_stack_v2_python_sparse | phasespace/marker_data_pb2_grpc.py | lauramsmith/fine-tuning-locomotion | train | 90 |
887cf0464b44e4287a33716e02adb5ba5c625a08 | [
"BaseDiscretizer.__init__(self, feature_names=feature_names, fill_na=fill_na, return_numeric=return_numeric, return_array=return_array, decimal=decimal)\nself.max_depth = max_depth\nself.kwds = kwds",
"if y is None:\n raise Exception('y未提供！')\ndt = sklearn.tree.DecisionTreeClassifier(criterion='entropy', max_d... | <|body_start_0|>
BaseDiscretizer.__init__(self, feature_names=feature_names, fill_na=fill_na, return_numeric=return_numeric, return_array=return_array, decimal=decimal)
self.max_depth = max_depth
self.kwds = kwds
<|end_body_0|>
<|body_start_1|>
if y is None:
raise Exception(... | EntropyDiscretizer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EntropyDiscretizer:
def __init__(self, feature_names=None, max_depth=3, fill_na=-1, return_numeric=True, return_array=False, decimal=2, **kwds):
"""根据单变量决策树离散化。 feature_names: 需要离散化的变量列表，非负整数或者字符串。 max_depth: 决策树最大深度，用于限制离散化的区间数。 kwds: 其他决策树参数，参考sklearn.tree.DecisionTreeClassifier。"""
... | stack_v2_sparse_classes_36k_train_013733 | 13,441 | no_license | [
{
"docstring": "根据单变量决策树离散化。 feature_names: 需要离散化的变量列表，非负整数或者字符串。 max_depth: 决策树最大深度，用于限制离散化的区间数。 kwds: 其他决策树参数，参考sklearn.tree.DecisionTreeClassifier。",
"name": "__init__",
"signature": "def __init__(self, feature_names=None, max_depth=3, fill_na=-1, return_numeric=True, return_array=False, decimal=2, *... | 2 | stack_v2_sparse_classes_30k_test_000025 | Implement the Python class `EntropyDiscretizer` described below.
Class description:
Implement the EntropyDiscretizer class.
Method signatures and docstrings:
- def __init__(self, feature_names=None, max_depth=3, fill_na=-1, return_numeric=True, return_array=False, decimal=2, **kwds): 根据单变量决策树离散化。 feature_names: 需要离散化... | Implement the Python class `EntropyDiscretizer` described below.
Class description:
Implement the EntropyDiscretizer class.
Method signatures and docstrings:
- def __init__(self, feature_names=None, max_depth=3, fill_na=-1, return_numeric=True, return_array=False, decimal=2, **kwds): 根据单变量决策树离散化。 feature_names: 需要离散化... | 2e5304fe3152509b60003ac41a60c0ed7f5cf6c7 | <|skeleton|>
class EntropyDiscretizer:
def __init__(self, feature_names=None, max_depth=3, fill_na=-1, return_numeric=True, return_array=False, decimal=2, **kwds):
"""根据单变量决策树离散化。 feature_names: 需要离散化的变量列表，非负整数或者字符串。 max_depth: 决策树最大深度，用于限制离散化的区间数。 kwds: 其他决策树参数，参考sklearn.tree.DecisionTreeClassifier。"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EntropyDiscretizer:
def __init__(self, feature_names=None, max_depth=3, fill_na=-1, return_numeric=True, return_array=False, decimal=2, **kwds):
"""根据单变量决策树离散化。 feature_names: 需要离散化的变量列表，非负整数或者字符串。 max_depth: 决策树最大深度，用于限制离散化的区间数。 kwds: 其他决策树参数，参考sklearn.tree.DecisionTreeClassifier。"""
BaseDisc... | the_stack_v2_python_sparse | installment_consume_model/discretize.py | tesla2349/Kaiyuan-Financial-Consumption-Risk-Control-Model | train | 0 | |
c0a26c4ee40c5e7a1bc91eb030c4c311b14be04b | [
"if mock_dispatcher is None:\n dispatcher = CheckerDispatcher()\nelse:\n dispatcher = mock_dispatcher\nif mock_increment_error_count is None:\n\n def increment_error_count():\n \"\"\"Increment the total count of reported errors.\"\"\"\n self.error_count += 1\nelse:\n increment_error_count ... | <|body_start_0|>
if mock_dispatcher is None:
dispatcher = CheckerDispatcher()
else:
dispatcher = mock_dispatcher
if mock_increment_error_count is None:
def increment_error_count():
"""Increment the total count of reported errors."""
... | A ProcessorBase for checking style. Attributes: error_count: An integer that is the total number of reported errors for the lifetime of this instance. | StyleProcessor | [
"LGPL-2.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"GPL-1.0-or-later",
"GPL-2.0-only",
"LGPL-2.0-only",
"BSD-2-Clause",
"LicenseRef-scancode-other-copyleft",
"BSD-3-Clause",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StyleProcessor:
"""A ProcessorBase for checking style. Attributes: error_count: An integer that is the total number of reported errors for the lifetime of this instance."""
def __init__(self, configuration, mock_dispatcher=None, mock_increment_error_count=None, mock_carriage_checker_class=No... | stack_v2_sparse_classes_36k_train_013734 | 23,775 | permissive | [
{
"docstring": "Create an instance. Args: configuration: A StyleProcessorConfiguration instance. mock_dispatcher: A mock CheckerDispatcher instance. This parameter is for unit testing. Defaults to a CheckerDispatcher instance. mock_increment_error_count: A mock error-count incrementer. mock_carriage_checker_cla... | 3 | null | Implement the Python class `StyleProcessor` described below.
Class description:
A ProcessorBase for checking style. Attributes: error_count: An integer that is the total number of reported errors for the lifetime of this instance.
Method signatures and docstrings:
- def __init__(self, configuration, mock_dispatcher=N... | Implement the Python class `StyleProcessor` described below.
Class description:
A ProcessorBase for checking style. Attributes: error_count: An integer that is the total number of reported errors for the lifetime of this instance.
Method signatures and docstrings:
- def __init__(self, configuration, mock_dispatcher=N... | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | <|skeleton|>
class StyleProcessor:
"""A ProcessorBase for checking style. Attributes: error_count: An integer that is the total number of reported errors for the lifetime of this instance."""
def __init__(self, configuration, mock_dispatcher=None, mock_increment_error_count=None, mock_carriage_checker_class=No... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StyleProcessor:
"""A ProcessorBase for checking style. Attributes: error_count: An integer that is the total number of reported errors for the lifetime of this instance."""
def __init__(self, configuration, mock_dispatcher=None, mock_increment_error_count=None, mock_carriage_checker_class=None):
... | the_stack_v2_python_sparse | third_party/blink/tools/blinkpy/style/checker.py | chromium/chromium | train | 17,408 |
9db278f0dc7a46f514c0d43a669b72f69524f7a0 | [
"self.directions = self._listify_input(input_string.lower())\nself.steps = [0, 0, 0, 0]\nself.facing = 0",
"stripped_string = re.sub('\\\\s+', '', input_string.strip())\nsplit_list = stripped_string.split(',')\nreturn [(x[0], int(x[1:])) for x in split_list]",
"for direction in self.directions:\n rotate = di... | <|body_start_0|>
self.directions = self._listify_input(input_string.lower())
self.steps = [0, 0, 0, 0]
self.facing = 0
<|end_body_0|>
<|body_start_1|>
stripped_string = re.sub('\\s+', '', input_string.strip())
split_list = stripped_string.split(',')
return [(x[0], int(x[... | Class for turning walking directions into distance from start. | Walker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Walker:
"""Class for turning walking directions into distance from start."""
def __init__(self, input_string):
"""Initialize."""
<|body_0|>
def _listify_input(self, input_string):
"""Turn a string of inputs into a list."""
<|body_1|>
def run(self):
... | stack_v2_sparse_classes_36k_train_013735 | 1,396 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, input_string)"
},
{
"docstring": "Turn a string of inputs into a list.",
"name": "_listify_input",
"signature": "def _listify_input(self, input_string)"
},
{
"docstring": "Step through the directio... | 3 | stack_v2_sparse_classes_30k_train_015916 | Implement the Python class `Walker` described below.
Class description:
Class for turning walking directions into distance from start.
Method signatures and docstrings:
- def __init__(self, input_string): Initialize.
- def _listify_input(self, input_string): Turn a string of inputs into a list.
- def run(self): Step ... | Implement the Python class `Walker` described below.
Class description:
Class for turning walking directions into distance from start.
Method signatures and docstrings:
- def __init__(self, input_string): Initialize.
- def _listify_input(self, input_string): Turn a string of inputs into a list.
- def run(self): Step ... | 17c729af2af5f1d95ba6ff68771a82ca6d00b05d | <|skeleton|>
class Walker:
"""Class for turning walking directions into distance from start."""
def __init__(self, input_string):
"""Initialize."""
<|body_0|>
def _listify_input(self, input_string):
"""Turn a string of inputs into a list."""
<|body_1|>
def run(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Walker:
"""Class for turning walking directions into distance from start."""
def __init__(self, input_string):
"""Initialize."""
self.directions = self._listify_input(input_string.lower())
self.steps = [0, 0, 0, 0]
self.facing = 0
def _listify_input(self, input_string... | the_stack_v2_python_sparse | 2016/day01_no_time_for_a_taxicab/python/src/part1.py | tlake/advent-of-code | train | 0 |
225b674eb13af0437835abd3138050035b839bd7 | [
"item_list = response.xpath('//div[@class=\"sg-col-inner\"]//a[@class=\"a-link-normal a-text-normal\"]/@href').getall()\nfor item in item_list:\n yield response.follow(item, callback=self.parse_item)\nnext_page = response.xpath('//div[@class=\"a-section a-spacing-none a-padding-base\"]//li[@class=\"a-last\"]/a/@... | <|body_start_0|>
item_list = response.xpath('//div[@class="sg-col-inner"]//a[@class="a-link-normal a-text-normal"]/@href').getall()
for item in item_list:
yield response.follow(item, callback=self.parse_item)
next_page = response.xpath('//div[@class="a-section a-spacing-none a-paddin... | AmazonSpiderSpider | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AmazonSpiderSpider:
def parse(self, response):
"""Funcion principal para obtener los elemntos de cada página de Amazon"""
<|body_0|>
def parse_item(self, response):
"""Funcion que obtiene el nombre y el precio de los productos dentro de cada página"""
<|body_... | stack_v2_sparse_classes_36k_train_013736 | 2,170 | permissive | [
{
"docstring": "Funcion principal para obtener los elemntos de cada página de Amazon",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "Funcion que obtiene el nombre y el precio de los productos dentro de cada página",
"name": "parse_item",
"signature": "def p... | 2 | stack_v2_sparse_classes_30k_train_017240 | Implement the Python class `AmazonSpiderSpider` described below.
Class description:
Implement the AmazonSpiderSpider class.
Method signatures and docstrings:
- def parse(self, response): Funcion principal para obtener los elemntos de cada página de Amazon
- def parse_item(self, response): Funcion que obtiene el nombr... | Implement the Python class `AmazonSpiderSpider` described below.
Class description:
Implement the AmazonSpiderSpider class.
Method signatures and docstrings:
- def parse(self, response): Funcion principal para obtener los elemntos de cada página de Amazon
- def parse_item(self, response): Funcion que obtiene el nombr... | 24e71616dae692e931e95cd3815ca88fa9b8a46a | <|skeleton|>
class AmazonSpiderSpider:
def parse(self, response):
"""Funcion principal para obtener los elemntos de cada página de Amazon"""
<|body_0|>
def parse_item(self, response):
"""Funcion que obtiene el nombre y el precio de los productos dentro de cada página"""
<|body_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AmazonSpiderSpider:
def parse(self, response):
"""Funcion principal para obtener los elemntos de cada página de Amazon"""
item_list = response.xpath('//div[@class="sg-col-inner"]//a[@class="a-link-normal a-text-normal"]/@href').getall()
for item in item_list:
yield response... | the_stack_v2_python_sparse | Retos/ScraperAmazon/amazon/amazon/spiders/amazon_spider.py | juanpanu-zz/PM_DataScience | train | 0 | |
8252e8aa6ad09e841a111211bd7c279ee45a199e | [
"if isinstance(grouped_by_field, str):\n self.grouped_by_field = [grouped_by_field]\nelse:\n self.grouped_by_field = grouped_by_field\nself.grouped_by_field_key = ' + '.join([g + '_' for g in self.grouped_by_field])\nself.date_field = date_field if date_field is None else date_field + '_'\nself.vectors = vect... | <|body_start_0|>
if isinstance(grouped_by_field, str):
self.grouped_by_field = [grouped_by_field]
else:
self.grouped_by_field = grouped_by_field
self.grouped_by_field_key = ' + '.join([g + '_' for g in self.grouped_by_field])
self.date_field = date_field if date_f... | _Vector Space Model_ is an algebraic model for representing text documents as vectors of index terms. A VSM object allow you to easily explore the multi dimensional Vector Space. It is required that you have already performed the Vectorization. | VSM | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VSM:
"""_Vector Space Model_ is an algebraic model for representing text documents as vectors of index terms. A VSM object allow you to easily explore the multi dimensional Vector Space. It is required that you have already performed the Vectorization."""
def __init__(self, vectors: Iterable... | stack_v2_sparse_classes_36k_train_013737 | 5,909 | no_license | [
{
"docstring": "**\\\\_\\\\_init\\\\_\\\\_**: Creates a new VSM object. Args: vectors (Iterable[dict]): Vector records produced by vectorization. <br/> Each record must have a \"bow\" (Bag of Words) field in which is stored a Dict[str, int]. It has tokens as key and frequencies as values. grouped_by_field (Unio... | 4 | stack_v2_sparse_classes_30k_train_001273 | Implement the Python class `VSM` described below.
Class description:
_Vector Space Model_ is an algebraic model for representing text documents as vectors of index terms. A VSM object allow you to easily explore the multi dimensional Vector Space. It is required that you have already performed the Vectorization.
Meth... | Implement the Python class `VSM` described below.
Class description:
_Vector Space Model_ is an algebraic model for representing text documents as vectors of index terms. A VSM object allow you to easily explore the multi dimensional Vector Space. It is required that you have already performed the Vectorization.
Meth... | adddd0b5cb67a50301ef5ae323c61bde57210cb8 | <|skeleton|>
class VSM:
"""_Vector Space Model_ is an algebraic model for representing text documents as vectors of index terms. A VSM object allow you to easily explore the multi dimensional Vector Space. It is required that you have already performed the Vectorization."""
def __init__(self, vectors: Iterable... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VSM:
"""_Vector Space Model_ is an algebraic model for representing text documents as vectors of index terms. A VSM object allow you to easily explore the multi dimensional Vector Space. It is required that you have already performed the Vectorization."""
def __init__(self, vectors: Iterable[dict], group... | the_stack_v2_python_sparse | venv/lib/python3.9/site-packages/compling/lexicalAnalysis/vectorization/impl/vsm.py | TheKing-coder68/Verselet | train | 1 |
2e561cd0a00a555cb425bf3af86598d3b1d59830 | [
"item_dict = {}\nfor attribute_obj in attributes(cls.meta_.entity_cls).values():\n if isinstance(attribute_obj, Reference):\n item_dict[attribute_obj.relation.attribute_name] = attribute_obj.relation.value\n else:\n item_dict[attribute_obj.attribute_name] = getattr(entity, attribute_obj.attribut... | <|body_start_0|>
item_dict = {}
for attribute_obj in attributes(cls.meta_.entity_cls).values():
if isinstance(attribute_obj, Reference):
item_dict[attribute_obj.relation.attribute_name] = attribute_obj.relation.value
else:
item_dict[attribute_obj.a... | A model for the Elasticsearch index | ElasticsearchModel | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElasticsearchModel:
"""A model for the Elasticsearch index"""
def from_entity(cls, entity) -> 'ElasticsearchModel':
"""Convert the entity to a Elasticsearch record"""
<|body_0|>
def to_entity(cls, item: 'ElasticsearchModel'):
"""Convert the elasticsearch document... | stack_v2_sparse_classes_36k_train_013738 | 21,821 | permissive | [
{
"docstring": "Convert the entity to a Elasticsearch record",
"name": "from_entity",
"signature": "def from_entity(cls, entity) -> 'ElasticsearchModel'"
},
{
"docstring": "Convert the elasticsearch document to an entity",
"name": "to_entity",
"signature": "def to_entity(cls, item: 'Elas... | 2 | stack_v2_sparse_classes_30k_train_015361 | Implement the Python class `ElasticsearchModel` described below.
Class description:
A model for the Elasticsearch index
Method signatures and docstrings:
- def from_entity(cls, entity) -> 'ElasticsearchModel': Convert the entity to a Elasticsearch record
- def to_entity(cls, item: 'ElasticsearchModel'): Convert the e... | Implement the Python class `ElasticsearchModel` described below.
Class description:
A model for the Elasticsearch index
Method signatures and docstrings:
- def from_entity(cls, entity) -> 'ElasticsearchModel': Convert the entity to a Elasticsearch record
- def to_entity(cls, item: 'ElasticsearchModel'): Convert the e... | 60544e7a24757b7968c229343213807b0fcf6bc4 | <|skeleton|>
class ElasticsearchModel:
"""A model for the Elasticsearch index"""
def from_entity(cls, entity) -> 'ElasticsearchModel':
"""Convert the entity to a Elasticsearch record"""
<|body_0|>
def to_entity(cls, item: 'ElasticsearchModel'):
"""Convert the elasticsearch document... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ElasticsearchModel:
"""A model for the Elasticsearch index"""
def from_entity(cls, entity) -> 'ElasticsearchModel':
"""Convert the entity to a Elasticsearch record"""
item_dict = {}
for attribute_obj in attributes(cls.meta_.entity_cls).values():
if isinstance(attribute... | the_stack_v2_python_sparse | src/protean/adapters/repository/elasticsearch.py | proteanhq/protean | train | 9 |
3ce2495efc5d5b97ba92d2eca3e1b8c5eee3f9db | [
"super(DpkgLocal, self).__init__()\nself._release = release\nself._arch = arch\nself._executor = executor",
"root = self._executor.root_filesystem_directory()\ndirectory.safe_makedirs(os.path.join(root, 'var', 'cache', 'apt', 'archives', 'partial'))\ndirectory.safe_makedirs(os.path.join(root, 'var', 'lib', 'apt',... | <|body_start_0|>
super(DpkgLocal, self).__init__()
self._release = release
self._arch = arch
self._executor = executor
<|end_body_0|>
<|body_start_1|>
root = self._executor.root_filesystem_directory()
directory.safe_makedirs(os.path.join(root, 'var', 'cache', 'apt', 'arc... | Debian packaging system, installing packages to local directory. | DpkgLocal | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DpkgLocal:
"""Debian packaging system, installing packages to local directory."""
def __init__(self, release, arch, executor):
"""Initialize this PackageSystem."""
<|body_0|>
def _initialize_directories(self):
"""Ensure that all APT and Dpkg directories are initi... | stack_v2_sparse_classes_36k_train_013739 | 19,882 | permissive | [
{
"docstring": "Initialize this PackageSystem.",
"name": "__init__",
"signature": "def __init__(self, release, arch, executor)"
},
{
"docstring": "Ensure that all APT and Dpkg directories are initialized.",
"name": "_initialize_directories",
"signature": "def _initialize_directories(self... | 4 | stack_v2_sparse_classes_30k_train_016481 | Implement the Python class `DpkgLocal` described below.
Class description:
Debian packaging system, installing packages to local directory.
Method signatures and docstrings:
- def __init__(self, release, arch, executor): Initialize this PackageSystem.
- def _initialize_directories(self): Ensure that all APT and Dpkg ... | Implement the Python class `DpkgLocal` described below.
Class description:
Debian packaging system, installing packages to local directory.
Method signatures and docstrings:
- def __init__(self, release, arch, executor): Initialize this PackageSystem.
- def _initialize_directories(self): Ensure that all APT and Dpkg ... | bb31302cfc48f55da56c12ab27b88644380209b9 | <|skeleton|>
class DpkgLocal:
"""Debian packaging system, installing packages to local directory."""
def __init__(self, release, arch, executor):
"""Initialize this PackageSystem."""
<|body_0|>
def _initialize_directories(self):
"""Ensure that all APT and Dpkg directories are initi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DpkgLocal:
"""Debian packaging system, installing packages to local directory."""
def __init__(self, release, arch, executor):
"""Initialize this PackageSystem."""
super(DpkgLocal, self).__init__()
self._release = release
self._arch = arch
self._executor = executor... | the_stack_v2_python_sparse | psqtraviscontainer/package_system.py | violethaze74/polysquare-travis-container | train | 0 |
688b3f42d97abd4aa6bce3ae787562f5ba51589a | [
"self._feature_store_id = feature_store_id\nself._feature_group_id = feature_group_id\nself._variable_api = VariableApi()",
"_client = client.get_instance()\npath_params = ['project', _client._project_id, 'featurestores', self._feature_store_id, 'featuregroups', self._feature_group_id, 'expectationsuite']\nmajor,... | <|body_start_0|>
self._feature_store_id = feature_store_id
self._feature_group_id = feature_group_id
self._variable_api = VariableApi()
<|end_body_0|>
<|body_start_1|>
_client = client.get_instance()
path_params = ['project', _client._project_id, 'featurestores', self._feature_s... | ExpectationSuiteApi | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExpectationSuiteApi:
def __init__(self, feature_store_id: int, feature_group_id: int):
"""Expectation Suite endpoints for the Feature Group resource. :param feature_store_id: id of the respective Feature Store :type feature_store_id: int :param feature_group_id: id of the respective Feat... | stack_v2_sparse_classes_36k_train_013740 | 6,356 | permissive | [
{
"docstring": "Expectation Suite endpoints for the Feature Group resource. :param feature_store_id: id of the respective Feature Store :type feature_store_id: int :param feature_group_id: id of the respective Feature Group :type feature_group_id: int",
"name": "__init__",
"signature": "def __init__(sel... | 6 | stack_v2_sparse_classes_30k_train_021397 | Implement the Python class `ExpectationSuiteApi` described below.
Class description:
Implement the ExpectationSuiteApi class.
Method signatures and docstrings:
- def __init__(self, feature_store_id: int, feature_group_id: int): Expectation Suite endpoints for the Feature Group resource. :param feature_store_id: id of... | Implement the Python class `ExpectationSuiteApi` described below.
Class description:
Implement the ExpectationSuiteApi class.
Method signatures and docstrings:
- def __init__(self, feature_store_id: int, feature_group_id: int): Expectation Suite endpoints for the Feature Group resource. :param feature_store_id: id of... | 3e67b26271e43b1ce38bd1e872bfb4c9212bb372 | <|skeleton|>
class ExpectationSuiteApi:
def __init__(self, feature_store_id: int, feature_group_id: int):
"""Expectation Suite endpoints for the Feature Group resource. :param feature_store_id: id of the respective Feature Store :type feature_store_id: int :param feature_group_id: id of the respective Feat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExpectationSuiteApi:
def __init__(self, feature_store_id: int, feature_group_id: int):
"""Expectation Suite endpoints for the Feature Group resource. :param feature_store_id: id of the respective Feature Store :type feature_store_id: int :param feature_group_id: id of the respective Feature Group :typ... | the_stack_v2_python_sparse | python/hsfs/core/expectation_suite_api.py | logicalclocks/feature-store-api | train | 59 | |
44cbef43a60810286d2b96efeb3d660c13200f68 | [
"count = 0\nfor x in data:\n if count == 0:\n if x >> 5 == 6:\n count = 1\n elif x >> 4 == 14:\n count = 2\n elif x >> 3 == 30:\n count = 3\n elif x >> 7 == 1:\n return False\n else:\n if x >> 6 != 2:\n return False\n ... | <|body_start_0|>
count = 0
for x in data:
if count == 0:
if x >> 5 == 6:
count = 1
elif x >> 4 == 14:
count = 2
elif x >> 3 == 30:
count = 3
elif x >> 7 == 1:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def validUtf8(self, data):
""":type data: List[int] :rtype: bool"""
<|body_0|>
def validUtf8_2(self, data):
""":type data: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
count = 0
for x in data:
... | stack_v2_sparse_classes_36k_train_013741 | 4,568 | no_license | [
{
"docstring": ":type data: List[int] :rtype: bool",
"name": "validUtf8",
"signature": "def validUtf8(self, data)"
},
{
"docstring": ":type data: List[int] :rtype: bool",
"name": "validUtf8_2",
"signature": "def validUtf8_2(self, data)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def validUtf8(self, data): :type data: List[int] :rtype: bool
- def validUtf8_2(self, data): :type data: List[int] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def validUtf8(self, data): :type data: List[int] :rtype: bool
- def validUtf8_2(self, data): :type data: List[int] :rtype: bool
<|skeleton|>
class Solution:
def validUtf8(s... | 635af6e22aa8eef8e7920a585d43a45a891a8157 | <|skeleton|>
class Solution:
def validUtf8(self, data):
""":type data: List[int] :rtype: bool"""
<|body_0|>
def validUtf8_2(self, data):
""":type data: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def validUtf8(self, data):
""":type data: List[int] :rtype: bool"""
count = 0
for x in data:
if count == 0:
if x >> 5 == 6:
count = 1
elif x >> 4 == 14:
count = 2
elif x >> 3 =... | the_stack_v2_python_sparse | code393UTF-8Validation.py | cybelewang/leetcode-python | train | 0 | |
fcc40d881c57e9b3641e318243dfd2a8ec7ca38a | [
"k = 0\nfor n in range(L, R + 1):\n result = bin(n).count('1')\n if is_prime(result):\n k = k + 1\nreturn k",
"primes = {2, 3, 5, 7, 11, 13, 17, 19}\nres = 0\nfor num in range(L, R + 1):\n if bin(num).count('1') in primes:\n res += 1\nreturn res"
] | <|body_start_0|>
k = 0
for n in range(L, R + 1):
result = bin(n).count('1')
if is_prime(result):
k = k + 1
return k
<|end_body_0|>
<|body_start_1|>
primes = {2, 3, 5, 7, 11, 13, 17, 19}
res = 0
for num in range(L, R + 1):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_0|>
def static_countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
k = 0
for ... | stack_v2_sparse_classes_36k_train_013742 | 1,993 | no_license | [
{
"docstring": ":type L: int :type R: int :rtype: int",
"name": "countPrimeSetBits",
"signature": "def countPrimeSetBits(self, L, R)"
},
{
"docstring": ":type L: int :type R: int :rtype: int",
"name": "static_countPrimeSetBits",
"signature": "def static_countPrimeSetBits(self, L, R)"
}... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int
- def static_countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int
- def static_countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int
<|skeleton|>
class Sol... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_0|>
def static_countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
k = 0
for n in range(L, R + 1):
result = bin(n).count('1')
if is_prime(result):
k = k + 1
return k
def static_countPrimeSetBits(self, L, R):
... | the_stack_v2_python_sparse | bit-manipulation/762_Prime_Number_of_Set_Bits_in_Binary_Representation.py | vsdrun/lc_public | train | 6 | |
a637db1286729a45de9111224e0b60c68b5205ae | [
"super().__init__(self.PROBLEM_NAME)\nself.root_node = root_node\nself.max_sum = -sys.maxsize - 1",
"print('Solving {} problem ...'.format(self.PROBLEM_NAME))\nself.find_max(self.root_node)\nreturn self.max_sum",
"if node is None:\n return 0\nleft_max = self.find_max(node.left)\nright_max = self.find_max(nod... | <|body_start_0|>
super().__init__(self.PROBLEM_NAME)
self.root_node = root_node
self.max_sum = -sys.maxsize - 1
<|end_body_0|>
<|body_start_1|>
print('Solving {} problem ...'.format(self.PROBLEM_NAME))
self.find_max(self.root_node)
return self.max_sum
<|end_body_1|>
<|b... | Binary Tree Max Sum Path | BinaryTreeMaxSumPath | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinaryTreeMaxSumPath:
"""Binary Tree Max Sum Path"""
def __init__(self, root_node):
"""Binary Tree Max Sum Path Args: root_node: node of the tree Returns: None Raises: None"""
<|body_0|>
def solve(self):
"""Solve the problem Note: For the bottom up approach. At e... | stack_v2_sparse_classes_36k_train_013743 | 2,462 | no_license | [
{
"docstring": "Binary Tree Max Sum Path Args: root_node: node of the tree Returns: None Raises: None",
"name": "__init__",
"signature": "def __init__(self, root_node)"
},
{
"docstring": "Solve the problem Note: For the bottom up approach. At each node, the potential maximum path could be one of... | 3 | null | Implement the Python class `BinaryTreeMaxSumPath` described below.
Class description:
Binary Tree Max Sum Path
Method signatures and docstrings:
- def __init__(self, root_node): Binary Tree Max Sum Path Args: root_node: node of the tree Returns: None Raises: None
- def solve(self): Solve the problem Note: For the bot... | Implement the Python class `BinaryTreeMaxSumPath` described below.
Class description:
Binary Tree Max Sum Path
Method signatures and docstrings:
- def __init__(self, root_node): Binary Tree Max Sum Path Args: root_node: node of the tree Returns: None Raises: None
- def solve(self): Solve the problem Note: For the bot... | 11f4d25cb211740514c119a60962d075a0817abd | <|skeleton|>
class BinaryTreeMaxSumPath:
"""Binary Tree Max Sum Path"""
def __init__(self, root_node):
"""Binary Tree Max Sum Path Args: root_node: node of the tree Returns: None Raises: None"""
<|body_0|>
def solve(self):
"""Solve the problem Note: For the bottom up approach. At e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BinaryTreeMaxSumPath:
"""Binary Tree Max Sum Path"""
def __init__(self, root_node):
"""Binary Tree Max Sum Path Args: root_node: node of the tree Returns: None Raises: None"""
super().__init__(self.PROBLEM_NAME)
self.root_node = root_node
self.max_sum = -sys.maxsize - 1
... | the_stack_v2_python_sparse | python/problems/binary_tree/binary_tree_max_sum_path.py | santhosh-kumar/AlgorithmsAndDataStructures | train | 2 |
a5428b1a799611dac61e81dbc7ee2f8a16a80f57 | [
"if str2bool(value):\n return queryset.filter(allocated__gte=F('quantity'))\nelse:\n return queryset.filter(allocated__lt=F('quantity'))",
"flt = Q(quantity__lte=F('total_available_stock') + F('allocated'))\nif str2bool(value):\n return queryset.filter(flt)\nelse:\n return queryset.exclude(flt)"
] | <|body_start_0|>
if str2bool(value):
return queryset.filter(allocated__gte=F('quantity'))
else:
return queryset.filter(allocated__lt=F('quantity'))
<|end_body_0|>
<|body_start_1|>
flt = Q(quantity__lte=F('total_available_stock') + F('allocated'))
if str2bool(valu... | Custom filterset for the BuildLine API endpoint. | BuildLineFilter | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildLineFilter:
"""Custom filterset for the BuildLine API endpoint."""
def filter_allocated(self, queryset, name, value):
"""Filter by whether each BuildLine is fully allocated"""
<|body_0|>
def filter_available(self, queryset, name, value):
"""Filter by whether... | stack_v2_sparse_classes_36k_train_013744 | 20,912 | permissive | [
{
"docstring": "Filter by whether each BuildLine is fully allocated",
"name": "filter_allocated",
"signature": "def filter_allocated(self, queryset, name, value)"
},
{
"docstring": "Filter by whether there is sufficient stock available for each BuildLine: To determine this, we need to know: - Th... | 2 | stack_v2_sparse_classes_30k_train_011374 | Implement the Python class `BuildLineFilter` described below.
Class description:
Custom filterset for the BuildLine API endpoint.
Method signatures and docstrings:
- def filter_allocated(self, queryset, name, value): Filter by whether each BuildLine is fully allocated
- def filter_available(self, queryset, name, valu... | Implement the Python class `BuildLineFilter` described below.
Class description:
Custom filterset for the BuildLine API endpoint.
Method signatures and docstrings:
- def filter_allocated(self, queryset, name, value): Filter by whether each BuildLine is fully allocated
- def filter_available(self, queryset, name, valu... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class BuildLineFilter:
"""Custom filterset for the BuildLine API endpoint."""
def filter_allocated(self, queryset, name, value):
"""Filter by whether each BuildLine is fully allocated"""
<|body_0|>
def filter_available(self, queryset, name, value):
"""Filter by whether... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BuildLineFilter:
"""Custom filterset for the BuildLine API endpoint."""
def filter_allocated(self, queryset, name, value):
"""Filter by whether each BuildLine is fully allocated"""
if str2bool(value):
return queryset.filter(allocated__gte=F('quantity'))
else:
... | the_stack_v2_python_sparse | InvenTree/build/api.py | inventree/InvenTree | train | 3,077 |
3bc759d84927e1675421058f327f7f1437a1a626 | [
"self.prot_attr = prot_attr\nself.estimator = estimator\nself.constraints = constraints\nself.eps = eps\nself.max_iter = max_iter\nself.nu = nu\nself.eta0 = eta0\nself.run_linprog_step = run_linprog_step\nself.drop_prot_attr = drop_prot_attr",
"self.estimator_ = clone(self.estimator)\nmoments = {'DemographicParit... | <|body_start_0|>
self.prot_attr = prot_attr
self.estimator = estimator
self.constraints = constraints
self.eps = eps
self.max_iter = max_iter
self.nu = nu
self.eta0 = eta0
self.run_linprog_step = run_linprog_step
self.drop_prot_attr = drop_prot_att... | Exponentiated gradient reduction for fair classification. Exponentiated gradient reduction is an in-processing technique that reduces fair classification to a sequence of cost-sensitive classification problems, returning a randomized classifier with the lowest empirical error subject to fair classification constraints ... | ExponentiatedGradientReduction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExponentiatedGradientReduction:
"""Exponentiated gradient reduction for fair classification. Exponentiated gradient reduction is an in-processing technique that reduces fair classification to a sequence of cost-sensitive classification problems, returning a randomized classifier with the lowest e... | stack_v2_sparse_classes_36k_train_013745 | 6,304 | permissive | [
{
"docstring": "Args: prot_attr: String or array-like column indices or column names of protected attributes. estimator: An estimator implementing methods ``fit(X, y, sample_weight)`` and ``predict(X)``, where ``X`` is the matrix of features, ``y`` is the vector of labels, and ``sample_weight`` is a vector of w... | 4 | stack_v2_sparse_classes_30k_train_000138 | Implement the Python class `ExponentiatedGradientReduction` described below.
Class description:
Exponentiated gradient reduction for fair classification. Exponentiated gradient reduction is an in-processing technique that reduces fair classification to a sequence of cost-sensitive classification problems, returning a ... | Implement the Python class `ExponentiatedGradientReduction` described below.
Class description:
Exponentiated gradient reduction for fair classification. Exponentiated gradient reduction is an in-processing technique that reduces fair classification to a sequence of cost-sensitive classification problems, returning a ... | 6f9972e4a7dbca2402f29b86ea67889143dbeb3e | <|skeleton|>
class ExponentiatedGradientReduction:
"""Exponentiated gradient reduction for fair classification. Exponentiated gradient reduction is an in-processing technique that reduces fair classification to a sequence of cost-sensitive classification problems, returning a randomized classifier with the lowest e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExponentiatedGradientReduction:
"""Exponentiated gradient reduction for fair classification. Exponentiated gradient reduction is an in-processing technique that reduces fair classification to a sequence of cost-sensitive classification problems, returning a randomized classifier with the lowest empirical erro... | the_stack_v2_python_sparse | aif360/sklearn/inprocessing/exponentiated_gradient_reduction.py | Trusted-AI/AIF360 | train | 1,157 |
706e065d5a7f1fe0b5b92beff9432613340340a9 | [
"scheduler_name = 'api_auto_create_schedulers_once' + str(random.randint(0, 99999))\nflow_table = load_workbook(abs_dir('flow_dataset_info.xlsx'))\ninfo_sheet = flow_table.get_sheet_by_name('flow_info')\nflow_id = info_sheet.cell(row=2, column=2).value\nflow_name = info_sheet.cell(row=2, column=3).value\ndata = {'n... | <|body_start_0|>
scheduler_name = 'api_auto_create_schedulers_once' + str(random.randint(0, 99999))
flow_table = load_workbook(abs_dir('flow_dataset_info.xlsx'))
info_sheet = flow_table.get_sheet_by_name('flow_info')
flow_id = info_sheet.cell(row=2, column=2).value
flow_name = in... | 用来测试创建schedulers | CreateSchedulers | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateSchedulers:
"""用来测试创建schedulers"""
def test_case01(self):
"""创建schedulers，单次执行"""
<|body_0|>
def test_case02(self):
"""创建schedulers，周期执行"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
scheduler_name = 'api_auto_create_schedulers_once' + s... | stack_v2_sparse_classes_36k_train_013746 | 15,511 | no_license | [
{
"docstring": "创建schedulers，单次执行",
"name": "test_case01",
"signature": "def test_case01(self)"
},
{
"docstring": "创建schedulers，周期执行",
"name": "test_case02",
"signature": "def test_case02(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017015 | Implement the Python class `CreateSchedulers` described below.
Class description:
用来测试创建schedulers
Method signatures and docstrings:
- def test_case01(self): 创建schedulers，单次执行
- def test_case02(self): 创建schedulers，周期执行 | Implement the Python class `CreateSchedulers` described below.
Class description:
用来测试创建schedulers
Method signatures and docstrings:
- def test_case01(self): 创建schedulers，单次执行
- def test_case02(self): 创建schedulers，周期执行
<|skeleton|>
class CreateSchedulers:
"""用来测试创建schedulers"""
def test_case01(self):
... | fc41513af3063169ff1b17d6f01f7074057ceb1f | <|skeleton|>
class CreateSchedulers:
"""用来测试创建schedulers"""
def test_case01(self):
"""创建schedulers，单次执行"""
<|body_0|>
def test_case02(self):
"""创建schedulers，周期执行"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateSchedulers:
"""用来测试创建schedulers"""
def test_case01(self):
"""创建schedulers，单次执行"""
scheduler_name = 'api_auto_create_schedulers_once' + str(random.randint(0, 99999))
flow_table = load_workbook(abs_dir('flow_dataset_info.xlsx'))
info_sheet = flow_table.get_sheet_by_nam... | the_stack_v2_python_sparse | singl_api/api_test_cases/cases_for_schedulers_api.py | bingjiegu/For_API | train | 0 |
69c878a4bf08bf15956479bb5b81a26be2055037 | [
"self.symbol = symbol\nself.unit = unit\nself.count = count\nself.period = period\nif json is None:\n self.json = self.get_json()\nelse:\n self.json = json",
"today = dt.now()\nDIRECTION = 'last'\nepochs = date.get_end_start_epochs(today.year, today.month, today.day, DIRECTION, self.unit, self.count)\nretur... | <|body_start_0|>
self.symbol = symbol
self.unit = unit
self.count = count
self.period = period
if json is None:
self.json = self.get_json()
else:
self.json = json
<|end_body_0|>
<|body_start_1|>
today = dt.now()
DIRECTION = 'last'
... | Evaluates TA indicators of a market Gets data from a market and then calculates technical analysis features. It also prepares this data to be fed into machine learning interfaces by creating a pandas DataFrame, and generating training/test sets for features (x-axis) and the target market trend (y-axis). Attributes: sym... | Market | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Market:
"""Evaluates TA indicators of a market Gets data from a market and then calculates technical analysis features. It also prepares this data to be fed into machine learning interfaces by creating a pandas DataFrame, and generating training/test sets for features (x-axis) and the target mark... | stack_v2_sparse_classes_36k_train_013747 | 8,178 | permissive | [
{
"docstring": "Inits market class of symbol with data going back count units",
"name": "__init__",
"signature": "def __init__(self, json=None, symbol='USDT_BTC', unit='month', count=6, period=86400)"
},
{
"docstring": "Gets market chart data from today to a previous date",
"name": "get_json... | 4 | null | Implement the Python class `Market` described below.
Class description:
Evaluates TA indicators of a market Gets data from a market and then calculates technical analysis features. It also prepares this data to be fed into machine learning interfaces by creating a pandas DataFrame, and generating training/test sets fo... | Implement the Python class `Market` described below.
Class description:
Evaluates TA indicators of a market Gets data from a market and then calculates technical analysis features. It also prepares this data to be fed into machine learning interfaces by creating a pandas DataFrame, and generating training/test sets fo... | 945f0a83d6b94282c547bb6f4805f3381ad9c16a | <|skeleton|>
class Market:
"""Evaluates TA indicators of a market Gets data from a market and then calculates technical analysis features. It also prepares this data to be fed into machine learning interfaces by creating a pandas DataFrame, and generating training/test sets for features (x-axis) and the target mark... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Market:
"""Evaluates TA indicators of a market Gets data from a market and then calculates technical analysis features. It also prepares this data to be fed into machine learning interfaces by creating a pandas DataFrame, and generating training/test sets for features (x-axis) and the target market trend (y-a... | the_stack_v2_python_sparse | Speculator/speculator/market.py | webclinic017/ml_monorepo | train | 0 |
68fec3872a935295cfeb49238214f115919b0688 | [
"sc.logger.info('video详情页初始状态检查开始')\nfun_name = 'test_video_origin'\nsc.logger.info('点击个人中心主按钮')\nsc.first_step(self.p_btn)\nsc.logger.info('点击第一个视频标题')\nel_video_til = 'com.quvideo.xiaoying:id/xiaoying_com_video_card_title'\nWebDriverWait(sc.driver, 10, 1).until(lambda el: el.find_element_by_id(el_video_til)).clic... | <|body_start_0|>
sc.logger.info('video详情页初始状态检查开始')
fun_name = 'test_video_origin'
sc.logger.info('点击个人中心主按钮')
sc.first_step(self.p_btn)
sc.logger.info('点击第一个视频标题')
el_video_til = 'com.quvideo.xiaoying:id/xiaoying_com_video_card_title'
WebDriverWait(sc.driver, 10,... | 个人视频详情页的测试类，分步截图. | TestUserVideos | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestUserVideos:
"""个人视频详情页的测试类，分步截图."""
def test_video_origin(self):
"""video详情页面的初始状态."""
<|body_0|>
def test_video_play(self):
"""测试视频的播放."""
<|body_1|>
def test_video_like(self):
"""测试视频的点赞功能."""
<|body_2|>
def test_video_down... | stack_v2_sparse_classes_36k_train_013748 | 4,511 | no_license | [
{
"docstring": "video详情页面的初始状态.",
"name": "test_video_origin",
"signature": "def test_video_origin(self)"
},
{
"docstring": "测试视频的播放.",
"name": "test_video_play",
"signature": "def test_video_play(self)"
},
{
"docstring": "测试视频的点赞功能.",
"name": "test_video_like",
"signatur... | 5 | null | Implement the Python class `TestUserVideos` described below.
Class description:
个人视频详情页的测试类，分步截图.
Method signatures and docstrings:
- def test_video_origin(self): video详情页面的初始状态.
- def test_video_play(self): 测试视频的播放.
- def test_video_like(self): 测试视频的点赞功能.
- def test_video_download(self): 测试视频的下载功能.
- def test_video_... | Implement the Python class `TestUserVideos` described below.
Class description:
个人视频详情页的测试类，分步截图.
Method signatures and docstrings:
- def test_video_origin(self): video详情页面的初始状态.
- def test_video_play(self): 测试视频的播放.
- def test_video_like(self): 测试视频的点赞功能.
- def test_video_download(self): 测试视频的下载功能.
- def test_video_... | 0003b68fc8e26a96ee1661c1eb1f26f96810e909 | <|skeleton|>
class TestUserVideos:
"""个人视频详情页的测试类，分步截图."""
def test_video_origin(self):
"""video详情页面的初始状态."""
<|body_0|>
def test_video_play(self):
"""测试视频的播放."""
<|body_1|>
def test_video_like(self):
"""测试视频的点赞功能."""
<|body_2|>
def test_video_down... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestUserVideos:
"""个人视频详情页的测试类，分步截图."""
def test_video_origin(self):
"""video详情页面的初始状态."""
sc.logger.info('video详情页初始状态检查开始')
fun_name = 'test_video_origin'
sc.logger.info('点击个人中心主按钮')
sc.first_step(self.p_btn)
sc.logger.info('点击第一个视频标题')
el_video_t... | the_stack_v2_python_sparse | iOS/VivaVideo/test_community/test_planet/test_videos.py | Lemonzhulixin/UItest | train | 5 |
8e6a0b28979fb257c95520192126fd5b03d53b6c | [
"if self.filters:\n category_filter = self.filters.get(str(field.category.id), None)\n if category_filter:\n field_filter = category_filter.pop(field.key, None)\n if field_filter:\n self.save()",
"self.where_clause = None\nif self.filters is not None:\n queries = []\n for key ... | <|body_start_0|>
if self.filters:
category_filter = self.filters.get(str(field.category.id), None)
if category_filter:
field_filter = category_filter.pop(field.key, None)
if field_filter:
self.save()
<|end_body_0|>
<|body_start_1|>
... | A mixin for filter. | FilterMixin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FilterMixin:
"""A mixin for filter."""
def remove_filter_field(self, field):
"""Remove a field from the filter. Parameters ---------- field : geokey.categories.models.Field Represents the field of a category."""
<|body_0|>
def save(self, *args, **kwargs):
"""Over... | stack_v2_sparse_classes_36k_train_013749 | 1,197 | permissive | [
{
"docstring": "Remove a field from the filter. Parameters ---------- field : geokey.categories.models.Field Represents the field of a category.",
"name": "remove_filter_field",
"signature": "def remove_filter_field(self, field)"
},
{
"docstring": "Overwrite `save` to implement integrity ensuran... | 2 | stack_v2_sparse_classes_30k_train_016655 | Implement the Python class `FilterMixin` described below.
Class description:
A mixin for filter.
Method signatures and docstrings:
- def remove_filter_field(self, field): Remove a field from the filter. Parameters ---------- field : geokey.categories.models.Field Represents the field of a category.
- def save(self, *... | Implement the Python class `FilterMixin` described below.
Class description:
A mixin for filter.
Method signatures and docstrings:
- def remove_filter_field(self, field): Remove a field from the filter. Parameters ---------- field : geokey.categories.models.Field Represents the field of a category.
- def save(self, *... | 16d31b5207de9f699fc01054baad1fe65ad1c3ca | <|skeleton|>
class FilterMixin:
"""A mixin for filter."""
def remove_filter_field(self, field):
"""Remove a field from the filter. Parameters ---------- field : geokey.categories.models.Field Represents the field of a category."""
<|body_0|>
def save(self, *args, **kwargs):
"""Over... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FilterMixin:
"""A mixin for filter."""
def remove_filter_field(self, field):
"""Remove a field from the filter. Parameters ---------- field : geokey.categories.models.Field Represents the field of a category."""
if self.filters:
category_filter = self.filters.get(str(field.cat... | the_stack_v2_python_sparse | geokey/core/mixins.py | NeolithEra/geokey | train | 0 |
dee1dddc7a9e65d8b49a2d1e7f8eea3946aae35b | [
"mime_message = _parse_mime_message(mime_message)\nsuper(InboundEmailMessage, self).update_from_mime_message(mime_message)\nfor property_, header in six.iteritems(InboundEmailMessage.__HEADER_PROPERTIES):\n value = mime_message[header]\n if value:\n setattr(self, property_, value)",
"if content_type ... | <|body_start_0|>
mime_message = _parse_mime_message(mime_message)
super(InboundEmailMessage, self).update_from_mime_message(mime_message)
for property_, header in six.iteritems(InboundEmailMessage.__HEADER_PROPERTIES):
value = mime_message[header]
if value:
... | Receives a parsed email as it is recevied from an external source. This class makes use of a `date` field and can store any number of additional bodies. These additional attributes make the email more flexible as required for incoming mail, where the developer has less control over the content. Example: # Read mail mes... | InboundEmailMessage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InboundEmailMessage:
"""Receives a parsed email as it is recevied from an external source. This class makes use of a `date` field and can store any number of additional bodies. These additional attributes make the email more flexible as required for incoming mail, where the developer has less con... | stack_v2_sparse_classes_36k_train_013750 | 48,523 | permissive | [
{
"docstring": "Updates the values of a MIME message. This function copies over date values. Args: mime_message: The `email.Message` instance from which you want to copy information.",
"name": "update_from_mime_message",
"signature": "def update_from_mime_message(self, mime_message)"
},
{
"docst... | 4 | stack_v2_sparse_classes_30k_train_006866 | Implement the Python class `InboundEmailMessage` described below.
Class description:
Receives a parsed email as it is recevied from an external source. This class makes use of a `date` field and can store any number of additional bodies. These additional attributes make the email more flexible as required for incoming... | Implement the Python class `InboundEmailMessage` described below.
Class description:
Receives a parsed email as it is recevied from an external source. This class makes use of a `date` field and can store any number of additional bodies. These additional attributes make the email more flexible as required for incoming... | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | <|skeleton|>
class InboundEmailMessage:
"""Receives a parsed email as it is recevied from an external source. This class makes use of a `date` field and can store any number of additional bodies. These additional attributes make the email more flexible as required for incoming mail, where the developer has less con... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InboundEmailMessage:
"""Receives a parsed email as it is recevied from an external source. This class makes use of a `date` field and can store any number of additional bodies. These additional attributes make the email more flexible as required for incoming mail, where the developer has less control over the... | the_stack_v2_python_sparse | src/google/appengine/api/mail.py | asriniva/appengine-python-standard | train | 0 |
4c8debeb45a3d43a277237dca93b03181be081aa | [
"self.label_names = self.unpickle('cifar-10-batches-py/batches.meta', encoding='utf-8')['label_names']\nself.training_data = self.unpickle('cifar-10-batches-py/data_batch_1')\nself.training_images = self.training_data[b'data']\nself.training_labels = self.training_data[b'labels']\nself.shape_images()\nself.training... | <|body_start_0|>
self.label_names = self.unpickle('cifar-10-batches-py/batches.meta', encoding='utf-8')['label_names']
self.training_data = self.unpickle('cifar-10-batches-py/data_batch_1')
self.training_images = self.training_data[b'data']
self.training_labels = self.training_data[b'lab... | A convolutional neural network to be used to classify images from the CIFAR-10 dataset. | ConvolutionalNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvolutionalNetwork:
"""A convolutional neural network to be used to classify images from the CIFAR-10 dataset."""
def __init__(self):
"""self.training_images -- a 10000x3072 numpy array of uint8s. Each a row of the array stores a 32x32 colour image. The first 1024 entries contain t... | stack_v2_sparse_classes_36k_train_013751 | 4,064 | no_license | [
{
"docstring": "self.training_images -- a 10000x3072 numpy array of uint8s. Each a row of the array stores a 32x32 colour image. The first 1024 entries contain the red channel values, the next 1024 the green, and the final 1024 the blue. The image is stored in row-major order, so that the first 32 entries of th... | 5 | null | Implement the Python class `ConvolutionalNetwork` described below.
Class description:
A convolutional neural network to be used to classify images from the CIFAR-10 dataset.
Method signatures and docstrings:
- def __init__(self): self.training_images -- a 10000x3072 numpy array of uint8s. Each a row of the array stor... | Implement the Python class `ConvolutionalNetwork` described below.
Class description:
A convolutional neural network to be used to classify images from the CIFAR-10 dataset.
Method signatures and docstrings:
- def __init__(self): self.training_images -- a 10000x3072 numpy array of uint8s. Each a row of the array stor... | 415dcfaec589b0b14c5b9864872c912f3851b383 | <|skeleton|>
class ConvolutionalNetwork:
"""A convolutional neural network to be used to classify images from the CIFAR-10 dataset."""
def __init__(self):
"""self.training_images -- a 10000x3072 numpy array of uint8s. Each a row of the array stores a 32x32 colour image. The first 1024 entries contain t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConvolutionalNetwork:
"""A convolutional neural network to be used to classify images from the CIFAR-10 dataset."""
def __init__(self):
"""self.training_images -- a 10000x3072 numpy array of uint8s. Each a row of the array stores a 32x32 colour image. The first 1024 entries contain the red channe... | the_stack_v2_python_sparse | SFData/StackOverflow/s56912176_original.py | tensfa/tensfa | train | 2 |
07f6a1f5dbd7c7a812d035b7595b0c6cce15aa0c | [
"self.transfer_enabled = transfer_enabled\nself.transfer_interval = transfer_interval\nself.transfer_day = transfer_day",
"if dictionary is None:\n return None\ntransfer_enabled = dictionary.get('transfer_enabled')\ntransfer_interval = dictionary.get('transfer_interval')\ntransfer_day = dictionary.get('transfe... | <|body_start_0|>
self.transfer_enabled = transfer_enabled
self.transfer_interval = transfer_interval
self.transfer_day = transfer_day
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
transfer_enabled = dictionary.get('transfer_enabled')
tran... | Implementation of the 'CreateTransferSettingsRequest' model. Informações de transferência do recebedor Attributes: transfer_enabled (bool): TODO: type description here. transfer_interval (string): TODO: type description here. transfer_day (int): TODO: type description here. | CreateTransferSettingsRequest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateTransferSettingsRequest:
"""Implementation of the 'CreateTransferSettingsRequest' model. Informações de transferência do recebedor Attributes: transfer_enabled (bool): TODO: type description here. transfer_interval (string): TODO: type description here. transfer_day (int): TODO: type descri... | stack_v2_sparse_classes_36k_train_013752 | 2,111 | permissive | [
{
"docstring": "Constructor for the CreateTransferSettingsRequest class",
"name": "__init__",
"signature": "def __init__(self, transfer_enabled=None, transfer_interval=None, transfer_day=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): ... | 2 | null | Implement the Python class `CreateTransferSettingsRequest` described below.
Class description:
Implementation of the 'CreateTransferSettingsRequest' model. Informações de transferência do recebedor Attributes: transfer_enabled (bool): TODO: type description here. transfer_interval (string): TODO: type description here... | Implement the Python class `CreateTransferSettingsRequest` described below.
Class description:
Implementation of the 'CreateTransferSettingsRequest' model. Informações de transferência do recebedor Attributes: transfer_enabled (bool): TODO: type description here. transfer_interval (string): TODO: type description here... | 95c80c35dd57bb2a238faeaf30d1e3b4544d2298 | <|skeleton|>
class CreateTransferSettingsRequest:
"""Implementation of the 'CreateTransferSettingsRequest' model. Informações de transferência do recebedor Attributes: transfer_enabled (bool): TODO: type description here. transfer_interval (string): TODO: type description here. transfer_day (int): TODO: type descri... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateTransferSettingsRequest:
"""Implementation of the 'CreateTransferSettingsRequest' model. Informações de transferência do recebedor Attributes: transfer_enabled (bool): TODO: type description here. transfer_interval (string): TODO: type description here. transfer_day (int): TODO: type description here.""... | the_stack_v2_python_sparse | mundiapi/models/create_transfer_settings_request.py | mundipagg/MundiAPI-PYTHON | train | 10 |
136cce504e223384d6dfd11490540c14e7fb909a | [
"texts = [u'Superscript: <sup>italics</sup>', u'Subscript: <sub>italics</sub>', u'Links: <a href=\"http://www.uanwe.org/\" target=\"_blank\">UNAWE</a>', u'Italics: <em>italics</em>', u'Paragraph: <p>italics</p>']\nfor text in texts:\n self.assertEqual(text, bleach_clean(text))",
"text = u'Table: <table><tr><th... | <|body_start_0|>
texts = [u'Superscript: <sup>italics</sup>', u'Subscript: <sub>italics</sub>', u'Links: <a href="http://www.uanwe.org/" target="_blank">UNAWE</a>', u'Italics: <em>italics</em>', u'Paragraph: <p>italics</p>']
for text in texts:
self.assertEqual(text, bleach_clean(text))
<|end... | BleachTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BleachTest:
def test_white_listed(self):
"""Tests that white listed html tags are not removed by bleach"""
<|body_0|>
def test_table(self):
"""Tests that tables are correctly bleached"""
<|body_1|>
def test_line_breaks(self):
"""Tests that tables... | stack_v2_sparse_classes_36k_train_013753 | 1,556 | permissive | [
{
"docstring": "Tests that white listed html tags are not removed by bleach",
"name": "test_white_listed",
"signature": "def test_white_listed(self)"
},
{
"docstring": "Tests that tables are correctly bleached",
"name": "test_table",
"signature": "def test_table(self)"
},
{
"docs... | 4 | stack_v2_sparse_classes_30k_train_013801 | Implement the Python class `BleachTest` described below.
Class description:
Implement the BleachTest class.
Method signatures and docstrings:
- def test_white_listed(self): Tests that white listed html tags are not removed by bleach
- def test_table(self): Tests that tables are correctly bleached
- def test_line_brea... | Implement the Python class `BleachTest` described below.
Class description:
Implement the BleachTest class.
Method signatures and docstrings:
- def test_white_listed(self): Tests that white listed html tags are not removed by bleach
- def test_table(self): Tests that tables are correctly bleached
- def test_line_brea... | b19bb7fb0de502dd6f5a48332f7054f93f1522d0 | <|skeleton|>
class BleachTest:
def test_white_listed(self):
"""Tests that white listed html tags are not removed by bleach"""
<|body_0|>
def test_table(self):
"""Tests that tables are correctly bleached"""
<|body_1|>
def test_line_breaks(self):
"""Tests that tables... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BleachTest:
def test_white_listed(self):
"""Tests that white listed html tags are not removed by bleach"""
texts = [u'Superscript: <sup>italics</sup>', u'Subscript: <sub>italics</sub>', u'Links: <a href="http://www.uanwe.org/" target="_blank">UNAWE</a>', u'Italics: <em>italics</em>', u'Paragra... | the_stack_v2_python_sparse | activities/tests.py | unawe/django-apps | train | 1 | |
c6d5278b72b661cdcd4e1d5b0c8413faaaadb86d | [
"def hashURL():\n code = ''\n tmp = ''\n for i in range(6):\n tmp = letters[random.randint(0, 10000) % 62]\n code = code + tmp\n return code\nprefix = 'http://tinyurl.com/'\nif longUrl in long_short:\n return prefix + long_short[longUrl]\nelse:\n suffix = hashURL()\n long_short[lo... | <|body_start_0|>
def hashURL():
code = ''
tmp = ''
for i in range(6):
tmp = letters[random.randint(0, 10000) % 62]
code = code + tmp
return code
prefix = 'http://tinyurl.com/'
if longUrl in long_short:
re... | 如何设计短URL? 如何设计一个hash function? 可以用26个字母大小写52个加上数字10个一共62个字符， 在从中随机选取6个字符 作为网站的后缀，棒棒哒。 | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
"""如何设计短URL? 如何设计一个hash function? 可以用26个字母大小写52个加上数字10个一共62个字符， 在从中随机选取6个字符 作为网站的后缀，棒棒哒。"""
def encode(self, longUrl):
"""Encodes a URL to a shortened URL. :type longUrl: str :rtype: str"""
<|body_0|>
def decode(self, shortUrl):
"""Decodes a shortened URL ... | stack_v2_sparse_classes_36k_train_013754 | 1,624 | no_license | [
{
"docstring": "Encodes a URL to a shortened URL. :type longUrl: str :rtype: str",
"name": "encode",
"signature": "def encode(self, longUrl)"
},
{
"docstring": "Decodes a shortened URL to its original URL. :type shortUrl: str :rtype: str",
"name": "decode",
"signature": "def decode(self,... | 2 | stack_v2_sparse_classes_30k_train_021686 | Implement the Python class `Codec` described below.
Class description:
如何设计短URL? 如何设计一个hash function? 可以用26个字母大小写52个加上数字10个一共62个字符， 在从中随机选取6个字符 作为网站的后缀，棒棒哒。
Method signatures and docstrings:
- def encode(self, longUrl): Encodes a URL to a shortened URL. :type longUrl: str :rtype: str
- def decode(self, shortUrl): Dec... | Implement the Python class `Codec` described below.
Class description:
如何设计短URL? 如何设计一个hash function? 可以用26个字母大小写52个加上数字10个一共62个字符， 在从中随机选取6个字符 作为网站的后缀，棒棒哒。
Method signatures and docstrings:
- def encode(self, longUrl): Encodes a URL to a shortened URL. :type longUrl: str :rtype: str
- def decode(self, shortUrl): Dec... | 034efcefe9940267abcf4c9cab655b2344e3e901 | <|skeleton|>
class Codec:
"""如何设计短URL? 如何设计一个hash function? 可以用26个字母大小写52个加上数字10个一共62个字符， 在从中随机选取6个字符 作为网站的后缀，棒棒哒。"""
def encode(self, longUrl):
"""Encodes a URL to a shortened URL. :type longUrl: str :rtype: str"""
<|body_0|>
def decode(self, shortUrl):
"""Decodes a shortened URL ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
"""如何设计短URL? 如何设计一个hash function? 可以用26个字母大小写52个加上数字10个一共62个字符， 在从中随机选取6个字符 作为网站的后缀，棒棒哒。"""
def encode(self, longUrl):
"""Encodes a URL to a shortened URL. :type longUrl: str :rtype: str"""
def hashURL():
code = ''
tmp = ''
for i in range(6):
... | the_stack_v2_python_sparse | 535_encode_and_decode_tinyURL.py | HongsenHe/algo2018 | train | 0 |
97bd263e9f45a68063c5314d25accb87c8f65687 | [
"self.environment = environment\nself.leaves_count = leaves_count\nself.total_logical_size = total_logical_size",
"if dictionary is None:\n return None\nenvironment = dictionary.get('environment')\nleaves_count = dictionary.get('leavesCount')\ntotal_logical_size = dictionary.get('totalLogicalSize')\nreturn cls... | <|body_start_0|>
self.environment = environment
self.leaves_count = leaves_count
self.total_logical_size = total_logical_size
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
environment = dictionary.get('environment')
leaves_count = diction... | Implementation of the 'AggregatedSubtreeInfo' model. Aggregated information about a node subtree. Attributes: environment (EnvironmentAggregatedSubtreeInfoEnum): Specifies the environment such as 'kSQL' or 'kVMware', where the Protection Source exists. Supported environment types such as 'kView', 'kSQL', 'kVMware', etc... | AggregatedSubtreeInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AggregatedSubtreeInfo:
"""Implementation of the 'AggregatedSubtreeInfo' model. Aggregated information about a node subtree. Attributes: environment (EnvironmentAggregatedSubtreeInfoEnum): Specifies the environment such as 'kSQL' or 'kVMware', where the Protection Source exists. Supported environm... | stack_v2_sparse_classes_36k_train_013755 | 5,989 | permissive | [
{
"docstring": "Constructor for the AggregatedSubtreeInfo class",
"name": "__init__",
"signature": "def __init__(self, environment=None, leaves_count=None, total_logical_size=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary... | 2 | stack_v2_sparse_classes_30k_train_002744 | Implement the Python class `AggregatedSubtreeInfo` described below.
Class description:
Implementation of the 'AggregatedSubtreeInfo' model. Aggregated information about a node subtree. Attributes: environment (EnvironmentAggregatedSubtreeInfoEnum): Specifies the environment such as 'kSQL' or 'kVMware', where the Prote... | Implement the Python class `AggregatedSubtreeInfo` described below.
Class description:
Implementation of the 'AggregatedSubtreeInfo' model. Aggregated information about a node subtree. Attributes: environment (EnvironmentAggregatedSubtreeInfoEnum): Specifies the environment such as 'kSQL' or 'kVMware', where the Prote... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class AggregatedSubtreeInfo:
"""Implementation of the 'AggregatedSubtreeInfo' model. Aggregated information about a node subtree. Attributes: environment (EnvironmentAggregatedSubtreeInfoEnum): Specifies the environment such as 'kSQL' or 'kVMware', where the Protection Source exists. Supported environm... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AggregatedSubtreeInfo:
"""Implementation of the 'AggregatedSubtreeInfo' model. Aggregated information about a node subtree. Attributes: environment (EnvironmentAggregatedSubtreeInfoEnum): Specifies the environment such as 'kSQL' or 'kVMware', where the Protection Source exists. Supported environment types suc... | the_stack_v2_python_sparse | cohesity_management_sdk/models/aggregated_subtree_info.py | cohesity/management-sdk-python | train | 24 |
5ae04bda02458420cb66cc6f39b1d87d992a4fd9 | [
"self.kp = kp\nself.ki = ki\nself.kd = kd\nself.maxCartOrder = maxCartOrder\nself.maxThetaOrder = maxThetaOrder",
"errX = target[0] - pos[0] + feedForward[0]\nerrY = target[1] - pos[1] + feedForward[1]\nerrTheta = math.atan2(math.sin(target[2] - pos[2] + feedForward[2]), math.cos(target[2] - pos[2] + feedForward[... | <|body_start_0|>
self.kp = kp
self.ki = ki
self.kd = kd
self.maxCartOrder = maxCartOrder
self.maxThetaOrder = maxThetaOrder
<|end_body_0|>
<|body_start_1|>
errX = target[0] - pos[0] + feedForward[0]
errY = target[1] - pos[1] + feedForward[1]
errTheta = ma... | PIDController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PIDController:
def __init__(self, kp, ki, kd, maxCartOrder, maxThetaOrder):
"""Parameters ---------- kp : float ki : float kd : float maxCartOrder : float The maximal cartesian speed maxThetaOrder : float The maximal angular speed"""
<|body_0|>
def step(self, t, pos, target,... | stack_v2_sparse_classes_36k_train_013756 | 18,897 | no_license | [
{
"docstring": "Parameters ---------- kp : float ki : float kd : float maxCartOrder : float The maximal cartesian speed maxThetaOrder : float The maximal angular speed",
"name": "__init__",
"signature": "def __init__(self, kp, ki, kd, maxCartOrder, maxThetaOrder)"
},
{
"docstring": "Parameters -... | 2 | stack_v2_sparse_classes_30k_train_005106 | Implement the Python class `PIDController` described below.
Class description:
Implement the PIDController class.
Method signatures and docstrings:
- def __init__(self, kp, ki, kd, maxCartOrder, maxThetaOrder): Parameters ---------- kp : float ki : float kd : float maxCartOrder : float The maximal cartesian speed max... | Implement the Python class `PIDController` described below.
Class description:
Implement the PIDController class.
Method signatures and docstrings:
- def __init__(self, kp, ki, kd, maxCartOrder, maxThetaOrder): Parameters ---------- kp : float ki : float kd : float maxCartOrder : float The maximal cartesian speed max... | 86555afa37ff2f959e49779f148b89574295b972 | <|skeleton|>
class PIDController:
def __init__(self, kp, ki, kd, maxCartOrder, maxThetaOrder):
"""Parameters ---------- kp : float ki : float kd : float maxCartOrder : float The maximal cartesian speed maxThetaOrder : float The maximal angular speed"""
<|body_0|>
def step(self, t, pos, target,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PIDController:
def __init__(self, kp, ki, kd, maxCartOrder, maxThetaOrder):
"""Parameters ---------- kp : float ki : float kd : float maxCartOrder : float The maximal cartesian speed maxThetaOrder : float The maximal angular speed"""
self.kp = kp
self.ki = ki
self.kd = kd
... | the_stack_v2_python_sparse | td5_bis/montero_eliott/control.py | EliottMontero/robotique_fac | train | 1 | |
ed52191d60476f3660a9b64073296eb82a51dd4e | [
"xs = []\nqueue = deque([root])\nwhile queue:\n node = queue.popleft()\n if node:\n xs.append(node.val)\n queue.append(node.left)\n queue.append(node.right)\n else:\n xs.append(None)\nwhile xs and xs[-1] is None:\n xs.pop()\nreturn str(xs).replace('None', 'null')",
"data = ... | <|body_start_0|>
xs = []
queue = deque([root])
while queue:
node = queue.popleft()
if node:
xs.append(node.val)
queue.append(node.left)
queue.append(node.right)
else:
xs.append(None)
while... | CodecFirst | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CodecFirst:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_013757 | 1,980 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `CodecFirst` described below.
Class description:
Implement the CodecFirst class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: s... | Implement the Python class `CodecFirst` described below.
Class description:
Implement the CodecFirst class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: s... | 700ebd442ee224b8b369d0c4b0e986ba8edbff90 | <|skeleton|>
class CodecFirst:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CodecFirst:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
xs = []
queue = deque([root])
while queue:
node = queue.popleft()
if node:
xs.append(node.val)
queue.append(n... | the_stack_v2_python_sparse | leetcode/pai/chapter14/q47_p297_serialize.py | jms7446/hackerrank | train | 3 | |
da587a408516bd31b360de12c1f79c03b6ba6dd5 | [
"if file:\n extension = splitext(file.name)[1]\n if extension not in ('.pdf', '.doc', '.docx'):\n raise serializers.ValidationError('Only pdf, doc, docx files')\nreturn file",
"self.fields['skills'] = SkillSerializer(many=True)\nself.fields['owner'] = UserSerializer()\nself.fields['position'] = Posit... | <|body_start_0|>
if file:
extension = splitext(file.name)[1]
if extension not in ('.pdf', '.doc', '.docx'):
raise serializers.ValidationError('Only pdf, doc, docx files')
return file
<|end_body_0|>
<|body_start_1|>
self.fields['skills'] = SkillSerializer(... | Resume serializer. | ResumeSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResumeSerializer:
"""Resume serializer."""
def validate_file(file):
"""Validate file extension. :param file: :return:"""
<|body_0|>
def to_representation(self, instance: Resume) -> dict:
"""Transform object. :param instance: Resume :return: OrderedDict"""
... | stack_v2_sparse_classes_36k_train_013758 | 1,819 | no_license | [
{
"docstring": "Validate file extension. :param file: :return:",
"name": "validate_file",
"signature": "def validate_file(file)"
},
{
"docstring": "Transform object. :param instance: Resume :return: OrderedDict",
"name": "to_representation",
"signature": "def to_representation(self, inst... | 2 | null | Implement the Python class `ResumeSerializer` described below.
Class description:
Resume serializer.
Method signatures and docstrings:
- def validate_file(file): Validate file extension. :param file: :return:
- def to_representation(self, instance: Resume) -> dict: Transform object. :param instance: Resume :return: O... | Implement the Python class `ResumeSerializer` described below.
Class description:
Resume serializer.
Method signatures and docstrings:
- def validate_file(file): Validate file extension. :param file: :return:
- def to_representation(self, instance: Resume) -> dict: Transform object. :param instance: Resume :return: O... | 713b9d84ac70d964d46f189ab1f9c7b944b9684b | <|skeleton|>
class ResumeSerializer:
"""Resume serializer."""
def validate_file(file):
"""Validate file extension. :param file: :return:"""
<|body_0|>
def to_representation(self, instance: Resume) -> dict:
"""Transform object. :param instance: Resume :return: OrderedDict"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResumeSerializer:
"""Resume serializer."""
def validate_file(file):
"""Validate file extension. :param file: :return:"""
if file:
extension = splitext(file.name)[1]
if extension not in ('.pdf', '.doc', '.docx'):
raise serializers.ValidationError('On... | the_stack_v2_python_sparse | jobadvisor/users/serializers/resume.py | ewgen19892/jobadvisor | train | 0 |
39d5cbde1df13348c577ea715dc9665445e8b593 | [
"category = unicodedata.category(c)[0]\nif category == 'C':\n return u' '\nif category == 'Z':\n return u' '\nreturn c",
"assert isinstance(s, unicode)\ns = unicodedata.normalize('NFC', s)\nsanitized_lines = []\nfor line in s.split(u'\\n'):\n sanitized_lines.append(u''.join(map(TextSanitizer._sanitize, l... | <|body_start_0|>
category = unicodedata.category(c)[0]
if category == 'C':
return u' '
if category == 'Z':
return u' '
return c
<|end_body_0|>
<|body_start_1|>
assert isinstance(s, unicode)
s = unicodedata.normalize('NFC', s)
sanitized_lin... | TextSanitizer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextSanitizer:
def _sanitize(c):
"""Returns space if character is not printable"""
<|body_0|>
def clean_utf8(s):
"""Removes most funny characters from Unicode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
category = unicodedata.category(c)[0]
... | stack_v2_sparse_classes_36k_train_013759 | 4,023 | permissive | [
{
"docstring": "Returns space if character is not printable",
"name": "_sanitize",
"signature": "def _sanitize(c)"
},
{
"docstring": "Removes most funny characters from Unicode",
"name": "clean_utf8",
"signature": "def clean_utf8(s)"
}
] | 2 | null | Implement the Python class `TextSanitizer` described below.
Class description:
Implement the TextSanitizer class.
Method signatures and docstrings:
- def _sanitize(c): Returns space if character is not printable
- def clean_utf8(s): Removes most funny characters from Unicode | Implement the Python class `TextSanitizer` described below.
Class description:
Implement the TextSanitizer class.
Method signatures and docstrings:
- def _sanitize(c): Returns space if character is not printable
- def clean_utf8(s): Removes most funny characters from Unicode
<|skeleton|>
class TextSanitizer:
de... | f9248c3528a415a1e5af2c5a54a60c16cd79ff1d | <|skeleton|>
class TextSanitizer:
def _sanitize(c):
"""Returns space if character is not printable"""
<|body_0|>
def clean_utf8(s):
"""Removes most funny characters from Unicode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TextSanitizer:
def _sanitize(c):
"""Returns space if character is not printable"""
category = unicodedata.category(c)[0]
if category == 'C':
return u' '
if category == 'Z':
return u' '
return c
def clean_utf8(s):
"""Removes most funn... | the_stack_v2_python_sparse | baseline/util/encoding.py | christianbuck/CorpusMining | train | 2 | |
218b5ab3a2cbdb4f1c36aee62630c2320a7ca86c | [
"try:\n book = BookInfo.objects.get(pk=pk)\nexcept BookInfo.DoesNotExist:\n return HttpResponse(status=404)\nreturn JsonResponse({'id': book.id, 'name': book.name, 'pub_date': book.pub_date, 'read_count': book.read_count, 'comment_count': book.comment_count})",
"try:\n book = BookInfo.objects.get(pk=pk)\... | <|body_start_0|>
try:
book = BookInfo.objects.get(pk=pk)
except BookInfo.DoesNotExist:
return HttpResponse(status=404)
return JsonResponse({'id': book.id, 'name': book.name, 'pub_date': book.pub_date, 'read_count': book.read_count, 'comment_count': book.comment_count})
<|... | BookAPIView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BookAPIView:
def get(self, request, pk):
"""获取单个图书信息 路由： GET /books/<pk>/ url中则需要设置books/(?P<pk>d+)/"""
<|body_0|>
def put(self, request, pk):
"""修改图书信息 路由： PUT /books/<pk>"""
<|body_1|>
def delete(self, request, pk):
"""删除图书 路由： DELETE /books/<p... | stack_v2_sparse_classes_36k_train_013760 | 4,279 | permissive | [
{
"docstring": "获取单个图书信息 路由： GET /books/<pk>/ url中则需要设置books/(?P<pk>d+)/",
"name": "get",
"signature": "def get(self, request, pk)"
},
{
"docstring": "修改图书信息 路由： PUT /books/<pk>",
"name": "put",
"signature": "def put(self, request, pk)"
},
{
"docstring": "删除图书 路由： DELETE /books/<... | 3 | null | Implement the Python class `BookAPIView` described below.
Class description:
Implement the BookAPIView class.
Method signatures and docstrings:
- def get(self, request, pk): 获取单个图书信息 路由： GET /books/<pk>/ url中则需要设置books/(?P<pk>d+)/
- def put(self, request, pk): 修改图书信息 路由： PUT /books/<pk>
- def delete(self, request, pk... | Implement the Python class `BookAPIView` described below.
Class description:
Implement the BookAPIView class.
Method signatures and docstrings:
- def get(self, request, pk): 获取单个图书信息 路由： GET /books/<pk>/ url中则需要设置books/(?P<pk>d+)/
- def put(self, request, pk): 修改图书信息 路由： PUT /books/<pk>
- def delete(self, request, pk... | 771a3f44c5d0e9a7be1118b84ca89cd34c3d7293 | <|skeleton|>
class BookAPIView:
def get(self, request, pk):
"""获取单个图书信息 路由： GET /books/<pk>/ url中则需要设置books/(?P<pk>d+)/"""
<|body_0|>
def put(self, request, pk):
"""修改图书信息 路由： PUT /books/<pk>"""
<|body_1|>
def delete(self, request, pk):
"""删除图书 路由： DELETE /books/<p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BookAPIView:
def get(self, request, pk):
"""获取单个图书信息 路由： GET /books/<pk>/ url中则需要设置books/(?P<pk>d+)/"""
try:
book = BookInfo.objects.get(pk=pk)
except BookInfo.DoesNotExist:
return HttpResponse(status=404)
return JsonResponse({'id': book.id, 'name': book... | the_stack_v2_python_sparse | 19Django_Advanced/day01to06/demo/DRF/views.py | mumudexiaomuwu/Python24 | train | 1 | |
455de4b4599b8b0efba4df13a000c61c33d4dc0b | [
"self.data = data\nself.instruments = configuration.instruments\nself.events = events\nself.strategy_name = 'multi_random'\nself.exchanges = configuration.exchange_names\nself.exchange = self.exchanges[0]\nself.instruments = self.instruments[self.exchange]\nself.datetime = datetime.utcnow()\nself.state = dict(((k, ... | <|body_start_0|>
self.data = data
self.instruments = configuration.instruments
self.events = events
self.strategy_name = 'multi_random'
self.exchanges = configuration.exchange_names
self.exchange = self.exchanges[0]
self.instruments = self.instruments[self.exchang... | This strategy simply decides to enter or exit the market randomly | MultiRandomStrategy | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiRandomStrategy:
"""This strategy simply decides to enter or exit the market randomly"""
def __init__(self, data, events, configuration):
"""Parameters: data - The DataHandler object that provides bar information events - The Event Queue object."""
<|body_0|>
def cal... | stack_v2_sparse_classes_36k_train_013761 | 2,671 | no_license | [
{
"docstring": "Parameters: data - The DataHandler object that provides bar information events - The Event Queue object.",
"name": "__init__",
"signature": "def __init__(self, data, events, configuration)"
},
{
"docstring": "Calculate the SignalEvents randomly",
"name": "calculate_signals",
... | 2 | stack_v2_sparse_classes_30k_test_000236 | Implement the Python class `MultiRandomStrategy` described below.
Class description:
This strategy simply decides to enter or exit the market randomly
Method signatures and docstrings:
- def __init__(self, data, events, configuration): Parameters: data - The DataHandler object that provides bar information events - T... | Implement the Python class `MultiRandomStrategy` described below.
Class description:
This strategy simply decides to enter or exit the market randomly
Method signatures and docstrings:
- def __init__(self, data, events, configuration): Parameters: data - The DataHandler object that provides bar information events - T... | 39ad067fa9ea27002d06c98a9d06725ad886917b | <|skeleton|>
class MultiRandomStrategy:
"""This strategy simply decides to enter or exit the market randomly"""
def __init__(self, data, events, configuration):
"""Parameters: data - The DataHandler object that provides bar information events - The Event Queue object."""
<|body_0|>
def cal... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiRandomStrategy:
"""This strategy simply decides to enter or exit the market randomly"""
def __init__(self, data, events, configuration):
"""Parameters: data - The DataHandler object that provides bar information events - The Event Queue object."""
self.data = data
self.instru... | the_stack_v2_python_sparse | strategies/crypto/multi_random.py | Dvisacker/backtrader | train | 2 |
14040caed5f25502048e9b8854e460d2e07464ec | [
"self.device_id = device_id\nself.title = title\nself.alt_title = alt_title\nself.identity = identity\nself.site = site\nself.device_type = device_type\nself.device_type_id = device_type_id\nself.parent_id = parent_id\nself.child_ids = child_ids\nself.device_model = device_model\nself.turbine_type = turbine_type\ns... | <|body_start_0|>
self.device_id = device_id
self.title = title
self.alt_title = alt_title
self.identity = identity
self.site = site
self.device_type = device_type
self.device_type_id = device_type_id
self.parent_id = parent_id
self.child_ids = chil... | Implementation of the 'Device' model. TODO: type model description here. Attributes: device_id (int): The id of a device. title (string): TODO: type description here. alt_title (string): An alternative title. identity (string): Device identification number. site (Site): The site where the device is located. device_type... | Device | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Device:
"""Implementation of the 'Device' model. TODO: type model description here. Attributes: device_id (int): The id of a device. title (string): TODO: type description here. alt_title (string): An alternative title. identity (string): Device identification number. site (Site): The site where ... | stack_v2_sparse_classes_36k_train_013762 | 6,998 | permissive | [
{
"docstring": "Constructor for the Device class",
"name": "__init__",
"signature": "def __init__(self, device_id=None, title=None, alt_title=None, identity=None, site=None, device_type=None, device_type_id=None, parent_id=None, child_ids=None, device_model=None, turbine_type=None, max_power=None, biddi... | 2 | stack_v2_sparse_classes_30k_train_002801 | Implement the Python class `Device` described below.
Class description:
Implementation of the 'Device' model. TODO: type model description here. Attributes: device_id (int): The id of a device. title (string): TODO: type description here. alt_title (string): An alternative title. identity (string): Device identificati... | Implement the Python class `Device` described below.
Class description:
Implementation of the 'Device' model. TODO: type model description here. Attributes: device_id (int): The id of a device. title (string): TODO: type description here. alt_title (string): An alternative title. identity (string): Device identificati... | 6835ee1f6a667b5c7827c5248391081f06b75513 | <|skeleton|>
class Device:
"""Implementation of the 'Device' model. TODO: type model description here. Attributes: device_id (int): The id of a device. title (string): TODO: type description here. alt_title (string): An alternative title. identity (string): Device identification number. site (Site): The site where ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Device:
"""Implementation of the 'Device' model. TODO: type model description here. Attributes: device_id (int): The id of a device. title (string): TODO: type description here. alt_title (string): An alternative title. identity (string): Device identification number. site (Site): The site where the device is... | the_stack_v2_python_sparse | greenbyteapi/models/device.py | charlie9578/greenbyte-api-sdk | train | 0 |
a2d1244e76b19fd87ff7cb7d1636a56fd77e5b2b | [
"self.infolder, self.outfolder = (infolder, outfolder)\nself.collection_name = collection_name\nself.files = glob.glob('%s/*.%s' % (infolder, imagetype))\nn = len(self.files)\nself.type = imagetype\nself.files.sort()\nif n == 0:\n raise InvalidParameter('no %s files found in folder \"%s\"' % (imagetype, infolder... | <|body_start_0|>
self.infolder, self.outfolder = (infolder, outfolder)
self.collection_name = collection_name
self.files = glob.glob('%s/*.%s' % (infolder, imagetype))
n = len(self.files)
self.type = imagetype
self.files.sort()
if n == 0:
raise Invalid... | Create a DeepZoom collection, converting a set of images. Usage: mc = dz_collection.MakeCollection('uw93/combined', '/phys/users/tburnett/pivot/24M_uw93') mc.convert() mc.collect() Note that the convert step time is order(number of images) and can be parallized by passing an optional IPython.parallel.Client object | MakeCollection | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MakeCollection:
"""Create a DeepZoom collection, converting a set of images. Usage: mc = dz_collection.MakeCollection('uw93/combined', '/phys/users/tburnett/pivot/24M_uw93') mc.convert() mc.collect() Note that the convert step time is order(number of images) and can be parallized by passing an op... | stack_v2_sparse_classes_36k_train_013763 | 5,986 | permissive | [
{
"docstring": "infolder : path to a folder containing a bunch of images (jpg by default) to convert outfolder : where to set up the collection keyword parameters collection_name: ['dzc'] name to apply to the deep zoom collection: will be the name of a xml file and the folder name containing the DZ images image... | 4 | null | Implement the Python class `MakeCollection` described below.
Class description:
Create a DeepZoom collection, converting a set of images. Usage: mc = dz_collection.MakeCollection('uw93/combined', '/phys/users/tburnett/pivot/24M_uw93') mc.convert() mc.collect() Note that the convert step time is order(number of images)... | Implement the Python class `MakeCollection` described below.
Class description:
Create a DeepZoom collection, converting a set of images. Usage: mc = dz_collection.MakeCollection('uw93/combined', '/phys/users/tburnett/pivot/24M_uw93') mc.convert() mc.collect() Note that the convert step time is order(number of images)... | edcdc696c3300e2f26ff3efa92a1bd9790074247 | <|skeleton|>
class MakeCollection:
"""Create a DeepZoom collection, converting a set of images. Usage: mc = dz_collection.MakeCollection('uw93/combined', '/phys/users/tburnett/pivot/24M_uw93') mc.convert() mc.collect() Note that the convert step time is order(number of images) and can be parallized by passing an op... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MakeCollection:
"""Create a DeepZoom collection, converting a set of images. Usage: mc = dz_collection.MakeCollection('uw93/combined', '/phys/users/tburnett/pivot/24M_uw93') mc.convert() mc.collect() Note that the convert step time is order(number of images) and can be parallized by passing an optional IPytho... | the_stack_v2_python_sparse | python/uw/like2/pub/dz_collection.py | fermi-lat/pointlike | train | 1 |
cd2d54970da531e6bb5eaf99d1cbaed325663bf1 | [
"self.SetStartDate(2004, 1, 1)\nself.SetEndDate(2015, 1, 1)\nself.SetCash(100000)\nself.AddEquity('SPY', Resolution.Daily)\nself.__macd = self.MACD('SPY', 12, 26, 9, MovingAverageType.Exponential, Resolution.Daily)\nself.__previous = datetime.min\nself.PlotIndicator('MACD', True, self.__macd, self.__macd.Signal)\ns... | <|body_start_0|>
self.SetStartDate(2004, 1, 1)
self.SetEndDate(2015, 1, 1)
self.SetCash(100000)
self.AddEquity('SPY', Resolution.Daily)
self.__macd = self.MACD('SPY', 12, 26, 9, MovingAverageType.Exponential, Resolution.Daily)
self.__previous = datetime.min
self.P... | MACDTrendAlgorithm | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MACDTrendAlgorithm:
def Initialize(self):
"""Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized."""
<|body_0|>
def OnData(self, data):
"""OnData event is the primary entry point for... | stack_v2_sparse_classes_36k_train_013764 | 2,822 | permissive | [
{
"docstring": "Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.",
"name": "Initialize",
"signature": "def Initialize(self)"
},
{
"docstring": "OnData event is the primary entry point for your algorithm. Eac... | 2 | stack_v2_sparse_classes_30k_train_003048 | Implement the Python class `MACDTrendAlgorithm` described below.
Class description:
Implement the MACDTrendAlgorithm class.
Method signatures and docstrings:
- def Initialize(self): Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized... | Implement the Python class `MACDTrendAlgorithm` described below.
Class description:
Implement the MACDTrendAlgorithm class.
Method signatures and docstrings:
- def Initialize(self): Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized... | b33dd3bc140e14b883f39ecf848a793cf7292277 | <|skeleton|>
class MACDTrendAlgorithm:
def Initialize(self):
"""Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized."""
<|body_0|>
def OnData(self, data):
"""OnData event is the primary entry point for... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MACDTrendAlgorithm:
def Initialize(self):
"""Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized."""
self.SetStartDate(2004, 1, 1)
self.SetEndDate(2015, 1, 1)
self.SetCash(100000)
self.... | the_stack_v2_python_sparse | Algorithm.Python/MACDTrendAlgorithm.py | Capnode/Algoloop | train | 87 | |
cc7b6657339179d5ed279a33d28a42cfb59f298f | [
"assert isinstance(block_string, str)\nops = block_string.split('_')\noptions = {}\nfor op in ops:\n splits = re.split('(\\\\d.*)', op)\n if len(splits) >= 2:\n key, value = splits[:2]\n options[key] = value\nif 's' not in options or len(options['s']) != 2:\n raise ValueError('Strides options... | <|body_start_0|>
assert isinstance(block_string, str)
ops = block_string.split('_')
options = {}
for op in ops:
splits = re.split('(\\d.*)', op)
if len(splits) >= 2:
key, value = splits[:2]
options[key] = value
if 's' not in... | Block Decoder for readability. | BlockDecoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlockDecoder:
"""Block Decoder for readability."""
def _decode_block_string(self, block_string):
"""Gets a block through a string notation of arguments."""
<|body_0|>
def _encode_block_string(self, block):
"""Encodes a block to a string."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_013765 | 30,373 | permissive | [
{
"docstring": "Gets a block through a string notation of arguments.",
"name": "_decode_block_string",
"signature": "def _decode_block_string(self, block_string)"
},
{
"docstring": "Encodes a block to a string.",
"name": "_encode_block_string",
"signature": "def _encode_block_string(self... | 4 | stack_v2_sparse_classes_30k_train_009266 | Implement the Python class `BlockDecoder` described below.
Class description:
Block Decoder for readability.
Method signatures and docstrings:
- def _decode_block_string(self, block_string): Gets a block through a string notation of arguments.
- def _encode_block_string(self, block): Encodes a block to a string.
- de... | Implement the Python class `BlockDecoder` described below.
Class description:
Block Decoder for readability.
Method signatures and docstrings:
- def _decode_block_string(self, block_string): Gets a block through a string notation of arguments.
- def _encode_block_string(self, block): Encodes a block to a string.
- de... | 1a8cc1467258c7245db3b5fe653d51d8638c7a25 | <|skeleton|>
class BlockDecoder:
"""Block Decoder for readability."""
def _decode_block_string(self, block_string):
"""Gets a block through a string notation of arguments."""
<|body_0|>
def _encode_block_string(self, block):
"""Encodes a block to a string."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BlockDecoder:
"""Block Decoder for readability."""
def _decode_block_string(self, block_string):
"""Gets a block through a string notation of arguments."""
assert isinstance(block_string, str)
ops = block_string.split('_')
options = {}
for op in ops:
sp... | the_stack_v2_python_sparse | yolo3/efficientnet.py | panyongfeng/yolo3_tangrm | train | 1 |
60351c5539a2c0347c18b9f37b9002f77e5524b1 | [
"self.selector = selector\nself.delta_gamma = delta_gamma\nself.mean_e = ParallelMean(size=10)\nself.counts = np.zeros(5, dtype=int)",
"prefixes = ['00/', '1p/', '1m/', '2p/', '2m/']\nfor i, p in enumerate(prefixes):\n data_p = _DataWrapper(data, prefix=p)\n sel = self.selector(data_p, *args, **kwargs)\n ... | <|body_start_0|>
self.selector = selector
self.delta_gamma = delta_gamma
self.mean_e = ParallelMean(size=10)
self.counts = np.zeros(5, dtype=int)
<|end_body_0|>
<|body_start_1|>
prefixes = ['00/', '1p/', '1m/', '2p/', '2m/']
for i, p in enumerate(prefixes):
d... | MetaDetectCalculator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MetaDetectCalculator:
def __init__(self, selector, delta_gamma):
"""Parameters ---------- selector: function Function that selects objects delta_gamma: float The difference in applied g between 1p and 1m metacal variants"""
<|body_0|>
def add_data(self, data, *args, **kwargs... | stack_v2_sparse_classes_36k_train_013766 | 27,539 | permissive | [
{
"docstring": "Parameters ---------- selector: function Function that selects objects delta_gamma: float The difference in applied g between 1p and 1m metacal variants",
"name": "__init__",
"signature": "def __init__(self, selector, delta_gamma)"
},
{
"docstring": "Select objects from a new chu... | 3 | null | Implement the Python class `MetaDetectCalculator` described below.
Class description:
Implement the MetaDetectCalculator class.
Method signatures and docstrings:
- def __init__(self, selector, delta_gamma): Parameters ---------- selector: function Function that selects objects delta_gamma: float The difference in app... | Implement the Python class `MetaDetectCalculator` described below.
Class description:
Implement the MetaDetectCalculator class.
Method signatures and docstrings:
- def __init__(self, selector, delta_gamma): Parameters ---------- selector: function Function that selects objects delta_gamma: float The difference in app... | addbfbe6c4dc0df208ce4f7ba4cb0a7588a932e3 | <|skeleton|>
class MetaDetectCalculator:
def __init__(self, selector, delta_gamma):
"""Parameters ---------- selector: function Function that selects objects delta_gamma: float The difference in applied g between 1p and 1m metacal variants"""
<|body_0|>
def add_data(self, data, *args, **kwargs... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MetaDetectCalculator:
def __init__(self, selector, delta_gamma):
"""Parameters ---------- selector: function Function that selects objects delta_gamma: float The difference in applied g between 1p and 1m metacal variants"""
self.selector = selector
self.delta_gamma = delta_gamma
... | the_stack_v2_python_sparse | txpipe/utils/calibration_tools.py | LSSTDESC/TXPipe | train | 17 | |
9ae03d6c1800f3b5835b01aa2accb6049c90a47f | [
"self.id_nodes = mapping\nfor child in self.children:\n child.update_id_nodes(mapping)",
"node = type(self)()\nnode.scope_key = self.scope_key\nnode.children = [child.copy() for child in self.children]\nreturn node"
] | <|body_start_0|>
self.id_nodes = mapping
for child in self.children:
child.update_id_nodes(mapping)
<|end_body_0|>
<|body_start_1|>
node = type(self)()
node.scope_key = self.scope_key
node.children = [child.copy() for child in self.children]
return node
<|end... | A base class for defining compiler nodes. | CompilerNode | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CompilerNode:
"""A base class for defining compiler nodes."""
def update_id_nodes(self, mapping):
"""Recursively update the id nodes for this node. Parameters ---------- mapping : sortedmap The mapping to fill with the identifier information."""
<|body_0|>
def copy(self)... | stack_v2_sparse_classes_36k_train_013767 | 11,984 | permissive | [
{
"docstring": "Recursively update the id nodes for this node. Parameters ---------- mapping : sortedmap The mapping to fill with the identifier information.",
"name": "update_id_nodes",
"signature": "def update_id_nodes(self, mapping)"
},
{
"docstring": "Create a copy of the compiler node.",
... | 2 | null | Implement the Python class `CompilerNode` described below.
Class description:
A base class for defining compiler nodes.
Method signatures and docstrings:
- def update_id_nodes(self, mapping): Recursively update the id nodes for this node. Parameters ---------- mapping : sortedmap The mapping to fill with the identifi... | Implement the Python class `CompilerNode` described below.
Class description:
A base class for defining compiler nodes.
Method signatures and docstrings:
- def update_id_nodes(self, mapping): Recursively update the id nodes for this node. Parameters ---------- mapping : sortedmap The mapping to fill with the identifi... | 1544e7fb371b8f941cfa2fde682795e479380284 | <|skeleton|>
class CompilerNode:
"""A base class for defining compiler nodes."""
def update_id_nodes(self, mapping):
"""Recursively update the id nodes for this node. Parameters ---------- mapping : sortedmap The mapping to fill with the identifier information."""
<|body_0|>
def copy(self)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CompilerNode:
"""A base class for defining compiler nodes."""
def update_id_nodes(self, mapping):
"""Recursively update the id nodes for this node. Parameters ---------- mapping : sortedmap The mapping to fill with the identifier information."""
self.id_nodes = mapping
for child i... | the_stack_v2_python_sparse | enaml/core/compiler_nodes.py | MatthieuDartiailh/enaml | train | 26 |
46a16608ba0b27fdfb43094cbc951d34fe3758bc | [
"nn.Module.__init__(self)\nif conv_kwargs is None:\n conv_kwargs = {'kernel_size': 3, 'stride': 1, 'padding': 1, 'bias': True}\nif norm_kwargs is None:\n norm_kwargs = {'eps': 1e-05, 'affine': True, 'momentum': 0.1, 'track_running_stats': True}\nif act_kwargs is None:\n act_kwargs = {'negative_slope': 0.01... | <|body_start_0|>
nn.Module.__init__(self)
if conv_kwargs is None:
conv_kwargs = {'kernel_size': 3, 'stride': 1, 'padding': 1, 'bias': True}
if norm_kwargs is None:
norm_kwargs = {'eps': 1e-05, 'affine': True, 'momentum': 0.1, 'track_running_stats': True}
if act_kw... | InitialConv | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InitialConv:
def __init__(self, input_channels, output_channels, conv=nn.Conv2d, conv_kwargs=None, norm=nn.BatchNorm2d, norm_kwargs=None, act=nn.LeakyReLU, act_kwargs=None, dropout=nn.Dropout2d, dropout_kwargs=None, network_kwargs=None):
"""The initial convolutional layer for a UNet-like... | stack_v2_sparse_classes_36k_train_013768 | 3,247 | permissive | [
{
"docstring": "The initial convolutional layer for a UNet-like network. Args: input_channels (int): The number of channels in the input tensor. output_channels (int): The number of channels in the output tensor. conv (nn.Module): The convolutional layer to use. conv_kwargs (dict): The arguments to pass to the ... | 2 | stack_v2_sparse_classes_30k_train_008897 | Implement the Python class `InitialConv` described below.
Class description:
Implement the InitialConv class.
Method signatures and docstrings:
- def __init__(self, input_channels, output_channels, conv=nn.Conv2d, conv_kwargs=None, norm=nn.BatchNorm2d, norm_kwargs=None, act=nn.LeakyReLU, act_kwargs=None, dropout=nn.D... | Implement the Python class `InitialConv` described below.
Class description:
Implement the InitialConv class.
Method signatures and docstrings:
- def __init__(self, input_channels, output_channels, conv=nn.Conv2d, conv_kwargs=None, norm=nn.BatchNorm2d, norm_kwargs=None, act=nn.LeakyReLU, act_kwargs=None, dropout=nn.D... | 72eb99f68205afd5f8d49a3bb6cfc08cfd467582 | <|skeleton|>
class InitialConv:
def __init__(self, input_channels, output_channels, conv=nn.Conv2d, conv_kwargs=None, norm=nn.BatchNorm2d, norm_kwargs=None, act=nn.LeakyReLU, act_kwargs=None, dropout=nn.Dropout2d, dropout_kwargs=None, network_kwargs=None):
"""The initial convolutional layer for a UNet-like... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InitialConv:
def __init__(self, input_channels, output_channels, conv=nn.Conv2d, conv_kwargs=None, norm=nn.BatchNorm2d, norm_kwargs=None, act=nn.LeakyReLU, act_kwargs=None, dropout=nn.Dropout2d, dropout_kwargs=None, network_kwargs=None):
"""The initial convolutional layer for a UNet-like network. Args... | the_stack_v2_python_sparse | GANDLF/models/seg_modules/InitialConv.py | mlcommons/GaNDLF | train | 45 | |
5ea39dda1400833d7ab14640a7ec1cc996ba5494 | [
"self.app_server_id = app_server_id\nself.backup_supported = backup_supported\nself.backup_unsupported_reasons = backup_unsupported_reasons\nself.created_time_msecs = created_time_msecs\nself.database_state = database_state\nself.db_size_bytes = db_size_bytes\nself.dbguid = dbguid\nself.name = name\nself.owner_id =... | <|body_start_0|>
self.app_server_id = app_server_id
self.backup_supported = backup_supported
self.backup_unsupported_reasons = backup_unsupported_reasons
self.created_time_msecs = created_time_msecs
self.database_state = database_state
self.db_size_bytes = db_size_bytes
... | Implementation of the 'ExchangeDatabaseInfo' model. Specifies the information about the Exchange Database. Attributes: app_server_id (long|int): Specifies the entity id of the Exchange Application Server which has this database copy. backup_supported (bool): Specifies if backup is supported for the Exchange database co... | ExchangeDatabaseInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExchangeDatabaseInfo:
"""Implementation of the 'ExchangeDatabaseInfo' model. Specifies the information about the Exchange Database. Attributes: app_server_id (long|int): Specifies the entity id of the Exchange Application Server which has this database copy. backup_supported (bool): Specifies if ... | stack_v2_sparse_classes_36k_train_013769 | 4,567 | permissive | [
{
"docstring": "Constructor for the ExchangeDatabaseInfo class",
"name": "__init__",
"signature": "def __init__(self, app_server_id=None, backup_supported=None, backup_unsupported_reasons=None, created_time_msecs=None, database_state=None, db_size_bytes=None, dbguid=None, name=None, owner_id=None, utc_o... | 2 | stack_v2_sparse_classes_30k_train_019056 | Implement the Python class `ExchangeDatabaseInfo` described below.
Class description:
Implementation of the 'ExchangeDatabaseInfo' model. Specifies the information about the Exchange Database. Attributes: app_server_id (long|int): Specifies the entity id of the Exchange Application Server which has this database copy.... | Implement the Python class `ExchangeDatabaseInfo` described below.
Class description:
Implementation of the 'ExchangeDatabaseInfo' model. Specifies the information about the Exchange Database. Attributes: app_server_id (long|int): Specifies the entity id of the Exchange Application Server which has this database copy.... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ExchangeDatabaseInfo:
"""Implementation of the 'ExchangeDatabaseInfo' model. Specifies the information about the Exchange Database. Attributes: app_server_id (long|int): Specifies the entity id of the Exchange Application Server which has this database copy. backup_supported (bool): Specifies if ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExchangeDatabaseInfo:
"""Implementation of the 'ExchangeDatabaseInfo' model. Specifies the information about the Exchange Database. Attributes: app_server_id (long|int): Specifies the entity id of the Exchange Application Server which has this database copy. backup_supported (bool): Specifies if backup is sup... | the_stack_v2_python_sparse | cohesity_management_sdk/models/exchange_database_info.py | cohesity/management-sdk-python | train | 24 |
695cee99cf12c7c750bdd02cbb215e58afb2e2f2 | [
"super(SELayer, self).__init__()\nself.pool = PoolingNdTorch('AdaptiveAvg', n_dim, 1)\nself.fc = nn.Sequential(ConvNdTorch(n_dim, channel, channel // reduction, kernel_size=1, bias=False), nn.ReLU(inplace=True), ConvNdTorch(n_dim, channel // reduction, channel, kernel_size=1, bias=False), nn.Sigmoid())",
"y = sel... | <|body_start_0|>
super(SELayer, self).__init__()
self.pool = PoolingNdTorch('AdaptiveAvg', n_dim, 1)
self.fc = nn.Sequential(ConvNdTorch(n_dim, channel, channel // reduction, kernel_size=1, bias=False), nn.ReLU(inplace=True), ConvNdTorch(n_dim, channel // reduction, channel, kernel_size=1, bias=... | SELayer | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SELayer:
def __init__(self, n_dim, channel, reduction=16):
"""Squeeze and Excitation Layer https://arxiv.org/abs/1709.01507 Parameters ---------- n_dim : int dimensionality of convolution channel : int number of input channel reduction : int channel reduction factor"""
<|body_0|>... | stack_v2_sparse_classes_36k_train_013770 | 8,979 | permissive | [
{
"docstring": "Squeeze and Excitation Layer https://arxiv.org/abs/1709.01507 Parameters ---------- n_dim : int dimensionality of convolution channel : int number of input channel reduction : int channel reduction factor",
"name": "__init__",
"signature": "def __init__(self, n_dim, channel, reduction=16... | 2 | stack_v2_sparse_classes_30k_val_000948 | Implement the Python class `SELayer` described below.
Class description:
Implement the SELayer class.
Method signatures and docstrings:
- def __init__(self, n_dim, channel, reduction=16): Squeeze and Excitation Layer https://arxiv.org/abs/1709.01507 Parameters ---------- n_dim : int dimensionality of convolution chan... | Implement the Python class `SELayer` described below.
Class description:
Implement the SELayer class.
Method signatures and docstrings:
- def __init__(self, n_dim, channel, reduction=16): Squeeze and Excitation Layer https://arxiv.org/abs/1709.01507 Parameters ---------- n_dim : int dimensionality of convolution chan... | d944aa67d319bd63a2add5cb89e8308413943de6 | <|skeleton|>
class SELayer:
def __init__(self, n_dim, channel, reduction=16):
"""Squeeze and Excitation Layer https://arxiv.org/abs/1709.01507 Parameters ---------- n_dim : int dimensionality of convolution channel : int number of input channel reduction : int channel reduction factor"""
<|body_0|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SELayer:
def __init__(self, n_dim, channel, reduction=16):
"""Squeeze and Excitation Layer https://arxiv.org/abs/1709.01507 Parameters ---------- n_dim : int dimensionality of convolution channel : int number of input channel reduction : int channel reduction factor"""
super(SELayer, self).__i... | the_stack_v2_python_sparse | deliravision/torch/models/backbones/seblocks.py | delira-dev/vision_torch | train | 5 | |
3f44194eb88dcbba7503fff0b3aacd8dc850ace8 | [
"goal = getattr(goal, 'raw_expr', goal)\nself.interp = interp\nself.rts = interp.backend.create_evaluation_rts(interp, goal)",
"interval = self.interp.flags['telemetry_interval']\nvalue_generator = self.rts.generate_values()\nif interval is not None and interval > 0:\n return telemetry.report_telemetry(self.rt... | <|body_start_0|>
goal = getattr(goal, 'raw_expr', goal)
self.interp = interp
self.rts = interp.backend.create_evaluation_rts(interp, goal)
<|end_body_0|>
<|body_start_1|>
interval = self.interp.flags['telemetry_interval']
value_generator = self.rts.generate_values()
if i... | Manages the evaluation of a Curry expression. | Evaluator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Evaluator:
"""Manages the evaluation of a Curry expression."""
def __init__(self, interp, goal):
"""Initialize evaluation of ``goal`` under interpreter ``interp``."""
<|body_0|>
def evaluate(self):
"""Evaluate the goal."""
<|body_1|>
def set_global_s... | stack_v2_sparse_classes_36k_train_013771 | 1,594 | no_license | [
{
"docstring": "Initialize evaluation of ``goal`` under interpreter ``interp``.",
"name": "__init__",
"signature": "def __init__(self, interp, goal)"
},
{
"docstring": "Evaluate the goal.",
"name": "evaluate",
"signature": "def evaluate(self)"
},
{
"docstring": "Sets the step lim... | 3 | null | Implement the Python class `Evaluator` described below.
Class description:
Manages the evaluation of a Curry expression.
Method signatures and docstrings:
- def __init__(self, interp, goal): Initialize evaluation of ``goal`` under interpreter ``interp``.
- def evaluate(self): Evaluate the goal.
- def set_global_step_... | Implement the Python class `Evaluator` described below.
Class description:
Manages the evaluation of a Curry expression.
Method signatures and docstrings:
- def __init__(self, interp, goal): Initialize evaluation of ``goal`` under interpreter ``interp``.
- def evaluate(self): Evaluate the goal.
- def set_global_step_... | c28c09ca100ac102fcaa8559ad2e12eb0d12d7d5 | <|skeleton|>
class Evaluator:
"""Manages the evaluation of a Curry expression."""
def __init__(self, interp, goal):
"""Initialize evaluation of ``goal`` under interpreter ``interp``."""
<|body_0|>
def evaluate(self):
"""Evaluate the goal."""
<|body_1|>
def set_global_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Evaluator:
"""Manages the evaluation of a Curry expression."""
def __init__(self, interp, goal):
"""Initialize evaluation of ``goal`` under interpreter ``interp``."""
goal = getattr(goal, 'raw_expr', goal)
self.interp = interp
self.rts = interp.backend.create_evaluation_rt... | the_stack_v2_python_sparse | src/python/backends/generic/eval/evaluator.py | andyjost/Sprite | train | 5 |
33a50c181c472fb1b0a0f8d2c852e4bbf1ca4e5b | [
"input_json, output_json, payload = (request.data['APIParams'], {}, {'Payload': None})\noutput_json['AuthenticationDetails'] = request.data['AuthenticationDetails']\nexisting_user_check_var = CheckEmailForRegistration.check_email_for_registration_function(input_json['email_id'])\nmatch = re.findall(\"'Status': 'Fai... | <|body_start_0|>
input_json, output_json, payload = (request.data['APIParams'], {}, {'Payload': None})
output_json['AuthenticationDetails'] = request.data['AuthenticationDetails']
existing_user_check_var = CheckEmailForRegistration.check_email_for_registration_function(input_json['email_id'])
... | This covers the API for verification of link sent on user's email for unverified user. | SignUpVerificationAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignUpVerificationAPI:
"""This covers the API for verification of link sent on user's email for unverified user."""
def post(self, request):
"""Post Function to verify the link sent on user's email for unverified user."""
<|body_0|>
def check_for_activation_key(self, req... | stack_v2_sparse_classes_36k_train_013772 | 5,154 | no_license | [
{
"docstring": "Post Function to verify the link sent on user's email for unverified user.",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "Function to check for activation key status.",
"name": "check_for_activation_key",
"signature": "def check_for_activation... | 2 | null | Implement the Python class `SignUpVerificationAPI` described below.
Class description:
This covers the API for verification of link sent on user's email for unverified user.
Method signatures and docstrings:
- def post(self, request): Post Function to verify the link sent on user's email for unverified user.
- def ch... | Implement the Python class `SignUpVerificationAPI` described below.
Class description:
This covers the API for verification of link sent on user's email for unverified user.
Method signatures and docstrings:
- def post(self, request): Post Function to verify the link sent on user's email for unverified user.
- def ch... | 36eb9931f330e64902354c6fc471be2adf4b7049 | <|skeleton|>
class SignUpVerificationAPI:
"""This covers the API for verification of link sent on user's email for unverified user."""
def post(self, request):
"""Post Function to verify the link sent on user's email for unverified user."""
<|body_0|>
def check_for_activation_key(self, req... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SignUpVerificationAPI:
"""This covers the API for verification of link sent on user's email for unverified user."""
def post(self, request):
"""Post Function to verify the link sent on user's email for unverified user."""
input_json, output_json, payload = (request.data['APIParams'], {}, ... | the_stack_v2_python_sparse | Generic/common/registration/api/signup_verification/views_signup_verification.py | archiemb303/common_backend_django | train | 0 |
e7cf8eb9189aaba3a0bcd92ba39c3af2b0c95e7b | [
"ret = [0]\nfor i in range(1, len(pattern)):\n print('剛入range後i', i)\n j = ret[i - 1]\n print('j', j)\n while j > 0 and pattern[j] != pattern[i]:\n print('j', j)\n j = ret[j - 1]\n print('while j > 0 and pattern[j] != pattern[i]:時j ', j)\n print('i', 'j', i, j)\n ret.append(j ... | <|body_start_0|>
ret = [0]
for i in range(1, len(pattern)):
print('剛入range後i', i)
j = ret[i - 1]
print('j', j)
while j > 0 and pattern[j] != pattern[i]:
print('j', j)
j = ret[j - 1]
print('while j > 0 and pat... | KMP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KMP:
def partial(self, pattern):
"""Calculate partial match table: String -> [Int]"""
<|body_0|>
def search(self, T, P):
"""KMP search main algorithm: String -> String -> [Int] Return all the matching position of pattern string P in T"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_36k_train_013773 | 1,672 | no_license | [
{
"docstring": "Calculate partial match table: String -> [Int]",
"name": "partial",
"signature": "def partial(self, pattern)"
},
{
"docstring": "KMP search main algorithm: String -> String -> [Int] Return all the matching position of pattern string P in T",
"name": "search",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_017617 | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def partial(self, pattern): Calculate partial match table: String -> [Int]
- def search(self, T, P): KMP search main algorithm: String -> String -> [Int] Return all the matching position o... | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def partial(self, pattern): Calculate partial match table: String -> [Int]
- def search(self, T, P): KMP search main algorithm: String -> String -> [Int] Return all the matching position o... | a54bd09f4b28f106196a6cd8a0f9c056bcd237e6 | <|skeleton|>
class KMP:
def partial(self, pattern):
"""Calculate partial match table: String -> [Int]"""
<|body_0|>
def search(self, T, P):
"""KMP search main algorithm: String -> String -> [Int] Return all the matching position of pattern string P in T"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KMP:
def partial(self, pattern):
"""Calculate partial match table: String -> [Int]"""
ret = [0]
for i in range(1, len(pattern)):
print('剛入range後i', i)
j = ret[i - 1]
print('j', j)
while j > 0 and pattern[j] != pattern[i]:
... | the_stack_v2_python_sparse | algorithm/KMP/KMP_github.py | luyihsien/leetcodepy | train | 0 | |
77e962aba1379118a851595e611258fb5586b7d8 | [
"if not board or not board[0]:\n return\nprevious = [0] * len(board[0])\nsurround = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\nfor i in range(len(board)):\n left, tmp_previous = (0, board[i].copy())\n for j in range(len(board[0])):\n sum_, tmp = (0, board[i][j])\n ... | <|body_start_0|>
if not board or not board[0]:
return
previous = [0] * len(board[0])
surround = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]
for i in range(len(board)):
left, tmp_previous = (0, board[i].copy())
for j in range(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_0|>
def gameOfLife1(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_... | stack_v2_sparse_classes_36k_train_013774 | 2,741 | no_license | [
{
"docstring": "Do not return anything, modify board in-place instead.",
"name": "gameOfLife",
"signature": "def gameOfLife(self, board: List[List[int]]) -> None"
},
{
"docstring": "Do not return anything, modify board in-place instead.",
"name": "gameOfLife1",
"signature": "def gameOfLi... | 2 | stack_v2_sparse_classes_30k_train_014762 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board: List[List[int]]) -> None: Do not return anything, modify board in-place instead.
- def gameOfLife1(self, board: List[List[int]]) -> None: Do not retur... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board: List[List[int]]) -> None: Do not return anything, modify board in-place instead.
- def gameOfLife1(self, board: List[List[int]]) -> None: Do not retur... | e2fecd266bfced6208694b19a2d81182b13dacd6 | <|skeleton|>
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_0|>
def gameOfLife1(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
if not board or not board[0]:
return
previous = [0] * len(board[0])
surround = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0),... | the_stack_v2_python_sparse | gameOfLife.py | HuipengXu/leetcode | train | 0 | |
2388cf20016bd1fda379a8318a9292536d36ca5c | [
"digits = [str(i) for i in range(1, n + 1)]\nk -= 1\nresult = ''\nx = n\nwhile x > 0:\n perm_per_group = factorial(x - 1)\n group, index = divmod(k, perm_per_group)\n result += digits[group]\n k = index\n x -= 1\n digits.pop(group)\nreturn result",
"digits = [i for i in range(1, n + 1)]\nm, n = ... | <|body_start_0|>
digits = [str(i) for i in range(1, n + 1)]
k -= 1
result = ''
x = n
while x > 0:
perm_per_group = factorial(x - 1)
group, index = divmod(k, perm_per_group)
result += digits[group]
k = index
x -= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getPermutation(self, n, k):
""":type n: int :type k: int :rtype: str"""
<|body_0|>
def getPermutation_(self, n, k):
""":type n: int :type k: int :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
digits = [str(i) for i in rang... | stack_v2_sparse_classes_36k_train_013775 | 1,336 | no_license | [
{
"docstring": ":type n: int :type k: int :rtype: str",
"name": "getPermutation",
"signature": "def getPermutation(self, n, k)"
},
{
"docstring": ":type n: int :type k: int :rtype: str",
"name": "getPermutation_",
"signature": "def getPermutation_(self, n, k)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getPermutation(self, n, k): :type n: int :type k: int :rtype: str
- def getPermutation_(self, n, k): :type n: int :type k: int :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getPermutation(self, n, k): :type n: int :type k: int :rtype: str
- def getPermutation_(self, n, k): :type n: int :type k: int :rtype: str
<|skeleton|>
class Solution:
... | ef052efcbcceb38e44fdd7cbcb6a7e6bd7ff8aa2 | <|skeleton|>
class Solution:
def getPermutation(self, n, k):
""":type n: int :type k: int :rtype: str"""
<|body_0|>
def getPermutation_(self, n, k):
""":type n: int :type k: int :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def getPermutation(self, n, k):
""":type n: int :type k: int :rtype: str"""
digits = [str(i) for i in range(1, n + 1)]
k -= 1
result = ''
x = n
while x > 0:
perm_per_group = factorial(x - 1)
group, index = divmod(k, perm_per_gro... | the_stack_v2_python_sparse | pure_math/permutation_sequence.py | moyuanhuang/leetcode | train | 2 | |
3b712ab8074120d6a1c6f48660e9c86e5c337f51 | [
"study_id = filter_params.pop('study_id', None)\nq = TaskGenomicFile.query.filter_by(**filter_params)\nfrom dataservice.api.participant.models import Participant\nfrom dataservice.api.biospecimen.models import Biospecimen\nfrom dataservice.api.genomic_file.models import GenomicFile\nfrom dataservice.api.biospecimen... | <|body_start_0|>
study_id = filter_params.pop('study_id', None)
q = TaskGenomicFile.query.filter_by(**filter_params)
from dataservice.api.participant.models import Participant
from dataservice.api.biospecimen.models import Biospecimen
from dataservice.api.genomic_file.models impo... | TaskGenomicFile List API | TaskGenomicFileListAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskGenomicFileListAPI:
"""TaskGenomicFile List API"""
def get(self, filter_params, after, limit):
"""Get a paginated task_genomic_files --- template: path: get_list.yml properties: resource: TaskGenomicFile"""
<|body_0|>
def post(self):
"""Create a new task_geno... | stack_v2_sparse_classes_36k_train_013776 | 5,124 | permissive | [
{
"docstring": "Get a paginated task_genomic_files --- template: path: get_list.yml properties: resource: TaskGenomicFile",
"name": "get",
"signature": "def get(self, filter_params, after, limit)"
},
{
"docstring": "Create a new task_genomic_file --- template: path: new_resource.yml properties: ... | 2 | null | Implement the Python class `TaskGenomicFileListAPI` described below.
Class description:
TaskGenomicFile List API
Method signatures and docstrings:
- def get(self, filter_params, after, limit): Get a paginated task_genomic_files --- template: path: get_list.yml properties: resource: TaskGenomicFile
- def post(self): C... | Implement the Python class `TaskGenomicFileListAPI` described below.
Class description:
TaskGenomicFile List API
Method signatures and docstrings:
- def get(self, filter_params, after, limit): Get a paginated task_genomic_files --- template: path: get_list.yml properties: resource: TaskGenomicFile
- def post(self): C... | 36ee3fc3d1ba9d1a177274d051fb175c56dd898e | <|skeleton|>
class TaskGenomicFileListAPI:
"""TaskGenomicFile List API"""
def get(self, filter_params, after, limit):
"""Get a paginated task_genomic_files --- template: path: get_list.yml properties: resource: TaskGenomicFile"""
<|body_0|>
def post(self):
"""Create a new task_geno... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskGenomicFileListAPI:
"""TaskGenomicFile List API"""
def get(self, filter_params, after, limit):
"""Get a paginated task_genomic_files --- template: path: get_list.yml properties: resource: TaskGenomicFile"""
study_id = filter_params.pop('study_id', None)
q = TaskGenomicFile.que... | the_stack_v2_python_sparse | dataservice/api/task_genomic_file/resources.py | kids-first/kf-api-dataservice | train | 9 |
e1ce1ea2e863a738d84528aa8c22db949d1ae3e3 | [
"root1 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))\nroot2 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))\nself.assertTrue(contains(root1, root2))",
"root1 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))\nself.assertTrue(contains(root1, root1.left))\nself.assertTrue(contains(root1, root1.... | <|body_start_0|>
root1 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))
root2 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))
self.assertTrue(contains(root1, root2))
<|end_body_0|>
<|body_start_1|>
root1 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))
self.as... | unittest for tree1 contains tree2 | T1ContainsT2TestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class T1ContainsT2TestCase:
"""unittest for tree1 contains tree2"""
def test_same_tree(self):
"""test case: test tree1 contains tree2 of same tree"""
<|body_0|>
def test_sub_tree(self):
"""test case: tree2 is subtree of tree1"""
<|body_1|>
def test_contain... | stack_v2_sparse_classes_36k_train_013777 | 2,087 | no_license | [
{
"docstring": "test case: test tree1 contains tree2 of same tree",
"name": "test_same_tree",
"signature": "def test_same_tree(self)"
},
{
"docstring": "test case: tree2 is subtree of tree1",
"name": "test_sub_tree",
"signature": "def test_sub_tree(self)"
},
{
"docstring": "test ... | 4 | stack_v2_sparse_classes_30k_train_004613 | Implement the Python class `T1ContainsT2TestCase` described below.
Class description:
unittest for tree1 contains tree2
Method signatures and docstrings:
- def test_same_tree(self): test case: test tree1 contains tree2 of same tree
- def test_sub_tree(self): test case: tree2 is subtree of tree1
- def test_contain(sel... | Implement the Python class `T1ContainsT2TestCase` described below.
Class description:
unittest for tree1 contains tree2
Method signatures and docstrings:
- def test_same_tree(self): test case: test tree1 contains tree2 of same tree
- def test_sub_tree(self): test case: tree2 is subtree of tree1
- def test_contain(sel... | d08108a14042a2d8833245a8fad559cf02747edc | <|skeleton|>
class T1ContainsT2TestCase:
"""unittest for tree1 contains tree2"""
def test_same_tree(self):
"""test case: test tree1 contains tree2 of same tree"""
<|body_0|>
def test_sub_tree(self):
"""test case: tree2 is subtree of tree1"""
<|body_1|>
def test_contain... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class T1ContainsT2TestCase:
"""unittest for tree1 contains tree2"""
def test_same_tree(self):
"""test case: test tree1 contains tree2 of same tree"""
root1 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))
root2 = TreeNode(val=5, left=TreeNode(3), right=TreeNode(7))
self.as... | the_stack_v2_python_sparse | coding_interview_guide/3_binary_tree/11_t1_contain_t2/test_t1_contains_t2.py | guzhoudiaoke/data_structure_and_algorithms | train | 0 |
5a3019d7b527a261a3998ab321a087802fab86f7 | [
"mcpfpp_rcs = self.env['multi.company.partner.fiscal.position.purchase'].search([('partner_id', '=', self.id), ('company_id', '=', self.env.user.company_id.id)], limit=1)\nif mcpfpp_rcs:\n self.supplier_account_position_id = mcpfpp_rcs.account_position_id.id\nelse:\n self.supplier_account_position_id = False"... | <|body_start_0|>
mcpfpp_rcs = self.env['multi.company.partner.fiscal.position.purchase'].search([('partner_id', '=', self.id), ('company_id', '=', self.env.user.company_id.id)], limit=1)
if mcpfpp_rcs:
self.supplier_account_position_id = mcpfpp_rcs.account_position_id.id
else:
... | res_partner | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class res_partner:
def _get_supplier_account_position_id(self):
"""Fonction qui retourne la position fiscale selon la société"""
<|body_0|>
def write(self, vals=None):
"""Interdiction de changer de catégorie"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_013778 | 7,933 | no_license | [
{
"docstring": "Fonction qui retourne la position fiscale selon la société",
"name": "_get_supplier_account_position_id",
"signature": "def _get_supplier_account_position_id(self)"
},
{
"docstring": "Interdiction de changer de catégorie",
"name": "write",
"signature": "def write(self, va... | 2 | stack_v2_sparse_classes_30k_train_000106 | Implement the Python class `res_partner` described below.
Class description:
Implement the res_partner class.
Method signatures and docstrings:
- def _get_supplier_account_position_id(self): Fonction qui retourne la position fiscale selon la société
- def write(self, vals=None): Interdiction de changer de catégorie | Implement the Python class `res_partner` described below.
Class description:
Implement the res_partner class.
Method signatures and docstrings:
- def _get_supplier_account_position_id(self): Fonction qui retourne la position fiscale selon la société
- def write(self, vals=None): Interdiction de changer de catégorie
... | eb394e1f79ba1995da2dcd81adfdd511c22caff9 | <|skeleton|>
class res_partner:
def _get_supplier_account_position_id(self):
"""Fonction qui retourne la position fiscale selon la société"""
<|body_0|>
def write(self, vals=None):
"""Interdiction de changer de catégorie"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class res_partner:
def _get_supplier_account_position_id(self):
"""Fonction qui retourne la position fiscale selon la société"""
mcpfpp_rcs = self.env['multi.company.partner.fiscal.position.purchase'].search([('partner_id', '=', self.id), ('company_id', '=', self.env.user.company_id.id)], limit=1)
... | the_stack_v2_python_sparse | OpenPROD/openprod-addons/multi_company/res_partner.py | kazacube-mziouadi/ceci | train | 0 | |
5acccd5684160effd45fcb697761f550939633a9 | [
"length = 0\nfor index in range(len(nums)):\n if nums[index] != val:\n nums[length] = nums[index]\n length += 1\nreturn length",
"if not nums:\n return 0\nleft, right = (0, len(nums))\nwhile left < right:\n if nums[left] == val:\n nums[left] = nums[right - 1]\n right -= 1\n ... | <|body_start_0|>
length = 0
for index in range(len(nums)):
if nums[index] != val:
nums[length] = nums[index]
length += 1
return length
<|end_body_0|>
<|body_start_1|>
if not nums:
return 0
left, right = (0, len(nums))
... | Elements | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Elements:
def remove(self, nums: List[int], val: int) -> int:
"""Approach: Two Pointers Time Complexity: O(N) Space Complexity: O(1) :param nums: :param val: :return:"""
<|body_0|>
def remove_(self, nums: List[int], val: int) -> int:
"""Approach: Two Pointers when el... | stack_v2_sparse_classes_36k_train_013779 | 1,179 | no_license | [
{
"docstring": "Approach: Two Pointers Time Complexity: O(N) Space Complexity: O(1) :param nums: :param val: :return:",
"name": "remove",
"signature": "def remove(self, nums: List[int], val: int) -> int"
},
{
"docstring": "Approach: Two Pointers when elements to be removed are rare. :param nums:... | 2 | stack_v2_sparse_classes_30k_train_010096 | Implement the Python class `Elements` described below.
Class description:
Implement the Elements class.
Method signatures and docstrings:
- def remove(self, nums: List[int], val: int) -> int: Approach: Two Pointers Time Complexity: O(N) Space Complexity: O(1) :param nums: :param val: :return:
- def remove_(self, nums... | Implement the Python class `Elements` described below.
Class description:
Implement the Elements class.
Method signatures and docstrings:
- def remove(self, nums: List[int], val: int) -> int: Approach: Two Pointers Time Complexity: O(N) Space Complexity: O(1) :param nums: :param val: :return:
- def remove_(self, nums... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Elements:
def remove(self, nums: List[int], val: int) -> int:
"""Approach: Two Pointers Time Complexity: O(N) Space Complexity: O(1) :param nums: :param val: :return:"""
<|body_0|>
def remove_(self, nums: List[int], val: int) -> int:
"""Approach: Two Pointers when el... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Elements:
def remove(self, nums: List[int], val: int) -> int:
"""Approach: Two Pointers Time Complexity: O(N) Space Complexity: O(1) :param nums: :param val: :return:"""
length = 0
for index in range(len(nums)):
if nums[index] != val:
nums[length] = nums[ind... | the_stack_v2_python_sparse | revisited/arrays/remove_elements.py | Shiv2157k/leet_code | train | 1 | |
114a946be963339ce6fb775790365727f836c884 | [
"super().__init__()\nself.length = len(inputs[0])\nif not all((len(inp) == self.length for inp in inputs)):\n raise ValueError('Lengths of inputs, i.e. number of fields or embedding size, must be equal.')\nself.inputs = inputs\ninputs = []\nfor idx, inp in enumerate(self.inputs):\n self.add_module(f'Input_{id... | <|body_start_0|>
super().__init__()
self.length = len(inputs[0])
if not all((len(inp) == self.length for inp in inputs)):
raise ValueError('Lengths of inputs, i.e. number of fields or embedding size, must be equal.')
self.inputs = inputs
inputs = []
for idx, i... | Base Input class for stacking of list of Base Input class in column-wise. The shape of output is :math:`(B, N_{1} + ... + N_{k}, E)`, where :math:`N_{i}` is number of fields of inputs class i. | StackedInput | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StackedInput:
"""Base Input class for stacking of list of Base Input class in column-wise. The shape of output is :math:`(B, N_{1} + ... + N_{k}, E)`, where :math:`N_{i}` is number of fields of inputs class i."""
def __init__(self, inputs: List[BaseInput]):
"""Initialize StackedInput... | stack_v2_sparse_classes_36k_train_013780 | 4,892 | permissive | [
{
"docstring": "Initialize StackedInputs Args: inputs (List[BaseInput]): list of input's layers (trs.inputs.Inputs). e.g. .. code-block:: python import torecsys as trs # initialize embedding layers used in StackedInputs single_index_emb_0 = trs.inputs.base.SingleIndexEmbedding(2, 8) single_index_emb_1 = trs.inp... | 3 | stack_v2_sparse_classes_30k_train_002229 | Implement the Python class `StackedInput` described below.
Class description:
Base Input class for stacking of list of Base Input class in column-wise. The shape of output is :math:`(B, N_{1} + ... + N_{k}, E)`, where :math:`N_{i}` is number of fields of inputs class i.
Method signatures and docstrings:
- def __init_... | Implement the Python class `StackedInput` described below.
Class description:
Base Input class for stacking of list of Base Input class in column-wise. The shape of output is :math:`(B, N_{1} + ... + N_{k}, E)`, where :math:`N_{i}` is number of fields of inputs class i.
Method signatures and docstrings:
- def __init_... | 751a43b9cd35e951d81c0d9cf46507b1777bb7ff | <|skeleton|>
class StackedInput:
"""Base Input class for stacking of list of Base Input class in column-wise. The shape of output is :math:`(B, N_{1} + ... + N_{k}, E)`, where :math:`N_{i}` is number of fields of inputs class i."""
def __init__(self, inputs: List[BaseInput]):
"""Initialize StackedInput... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StackedInput:
"""Base Input class for stacking of list of Base Input class in column-wise. The shape of output is :math:`(B, N_{1} + ... + N_{k}, E)`, where :math:`N_{i}` is number of fields of inputs class i."""
def __init__(self, inputs: List[BaseInput]):
"""Initialize StackedInputs Args: input... | the_stack_v2_python_sparse | torecsys/inputs/base/stacked_inp.py | p768lwy3/torecsys | train | 98 |
338ae2b6520b3b428bff0b53cfca80050f7c6a38 | [
"with tempfile.TemporaryDirectory() as tmp_dir:\n test_repo_manager = repo_manager.RepoManager(self.curl_repo, tmp_dir)\n git_path = os.path.join(test_repo_manager.base_dir, test_repo_manager.repo_name, '.git')\n self.assertTrue(os.path.isdir(git_path))\n test_repo_manager.remove_repo()\n with self.a... | <|body_start_0|>
with tempfile.TemporaryDirectory() as tmp_dir:
test_repo_manager = repo_manager.RepoManager(self.curl_repo, tmp_dir)
git_path = os.path.join(test_repo_manager.base_dir, test_repo_manager.repo_name, '.git')
self.assertTrue(os.path.isdir(git_path))
... | Class to test the functionality of the RepoManager class. | TestRepoManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRepoManager:
"""Class to test the functionality of the RepoManager class."""
def test_clone_correctly(self):
"""Tests the correct location of the git repo."""
<|body_0|>
def test_checkout_commit(self):
"""Tests that the git checkout command works."""
... | stack_v2_sparse_classes_36k_train_013781 | 3,505 | permissive | [
{
"docstring": "Tests the correct location of the git repo.",
"name": "test_clone_correctly",
"signature": "def test_clone_correctly(self)"
},
{
"docstring": "Tests that the git checkout command works.",
"name": "test_checkout_commit",
"signature": "def test_checkout_commit(self)"
},
... | 3 | stack_v2_sparse_classes_30k_train_018364 | Implement the Python class `TestRepoManager` described below.
Class description:
Class to test the functionality of the RepoManager class.
Method signatures and docstrings:
- def test_clone_correctly(self): Tests the correct location of the git repo.
- def test_checkout_commit(self): Tests that the git checkout comma... | Implement the Python class `TestRepoManager` described below.
Class description:
Class to test the functionality of the RepoManager class.
Method signatures and docstrings:
- def test_clone_correctly(self): Tests the correct location of the git repo.
- def test_checkout_commit(self): Tests that the git checkout comma... | 8e2d57684bd49355b80572592c3af5cefc19a69c | <|skeleton|>
class TestRepoManager:
"""Class to test the functionality of the RepoManager class."""
def test_clone_correctly(self):
"""Tests the correct location of the git repo."""
<|body_0|>
def test_checkout_commit(self):
"""Tests that the git checkout command works."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestRepoManager:
"""Class to test the functionality of the RepoManager class."""
def test_clone_correctly(self):
"""Tests the correct location of the git repo."""
with tempfile.TemporaryDirectory() as tmp_dir:
test_repo_manager = repo_manager.RepoManager(self.curl_repo, tmp_di... | the_stack_v2_python_sparse | infra/repo_manager_test.py | DeepInThought/oss-fuzz | train | 2 |
5e52d56c3763f619a06de8225185562aa1dc113d | [
"super().__init__(weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries)\nself.unit_descriptions = unit_descriptions\nif self.entity_description.is_forecast_item:\n self.forecast_data = getattr(self.forecast_coordinator.data, 'forecast')\n self.day_data: ForecastDetailDescriptio... | <|body_start_0|>
super().__init__(weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries)
self.unit_descriptions = unit_descriptions
if self.entity_description.is_forecast_item:
self.forecast_data = getattr(self.forecast_coordinator.data, 'forecast')
... | Implementation of Weatherbit sensor. | WeatherbitSensor | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WeatherbitSensor:
"""Implementation of Weatherbit sensor."""
def __init__(self, weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries: ConfigEntry, unit_descriptions):
"""Initialize an WeatherFlow sensor."""
<|body_0|>
def native_value(self... | stack_v2_sparse_classes_36k_train_013782 | 17,617 | permissive | [
{
"docstring": "Initialize an WeatherFlow sensor.",
"name": "__init__",
"signature": "def __init__(self, weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries: ConfigEntry, unit_descriptions)"
},
{
"docstring": "Return the state of the sensor.",
"name": "native... | 4 | stack_v2_sparse_classes_30k_train_003603 | Implement the Python class `WeatherbitSensor` described below.
Class description:
Implementation of Weatherbit sensor.
Method signatures and docstrings:
- def __init__(self, weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries: ConfigEntry, unit_descriptions): Initialize an WeatherFlow... | Implement the Python class `WeatherbitSensor` described below.
Class description:
Implementation of Weatherbit sensor.
Method signatures and docstrings:
- def __init__(self, weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries: ConfigEntry, unit_descriptions): Initialize an WeatherFlow... | 8548d9999ddd54f13d6a307e013abcb8c897a74e | <|skeleton|>
class WeatherbitSensor:
"""Implementation of Weatherbit sensor."""
def __init__(self, weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries: ConfigEntry, unit_descriptions):
"""Initialize an WeatherFlow sensor."""
<|body_0|>
def native_value(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WeatherbitSensor:
"""Implementation of Weatherbit sensor."""
def __init__(self, weatherbitapi, coordinator, forecast_coordinator, station_data, description, entries: ConfigEntry, unit_descriptions):
"""Initialize an WeatherFlow sensor."""
super().__init__(weatherbitapi, coordinator, forec... | the_stack_v2_python_sparse | custom_components/weatherbit/sensor.py | bacco007/HomeAssistantConfig | train | 98 |
e485d15ba9140bb22e30b9c72e18bd6fd5a8b19a | [
"self.quant_bit = quant_bit\nOperatorSerializable.__init__(self)\nModule.__init__(self)\nQuantConv2d.__init__(self, in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, bias=bias, padding_mode=padding_mode)",
"input = input.... | <|body_start_0|>
self.quant_bit = quant_bit
OperatorSerializable.__init__(self)
Module.__init__(self)
QuantConv2d.__init__(self, in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, bias=bias, paddi... | QuantizeConv2d Module inherit nn.Module. | QuantizeConv2d | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuantizeConv2d:
"""QuantizeConv2d Module inherit nn.Module."""
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None):
"""Construct Identity class."""
<|body_0|>
def forward(s... | stack_v2_sparse_classes_36k_train_013783 | 25,894 | permissive | [
{
"docstring": "Construct Identity class.",
"name": "__init__",
"signature": "def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None)"
},
{
"docstring": "Do an inference on Identity.",
"name": "for... | 2 | stack_v2_sparse_classes_30k_train_015005 | Implement the Python class `QuantizeConv2d` described below.
Class description:
QuantizeConv2d Module inherit nn.Module.
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None): Construct... | Implement the Python class `QuantizeConv2d` described below.
Class description:
QuantizeConv2d Module inherit nn.Module.
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None): Construct... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class QuantizeConv2d:
"""QuantizeConv2d Module inherit nn.Module."""
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None):
"""Construct Identity class."""
<|body_0|>
def forward(s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QuantizeConv2d:
"""QuantizeConv2d Module inherit nn.Module."""
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None):
"""Construct Identity class."""
self.quant_bit = quant_bit
Operato... | the_stack_v2_python_sparse | zeus/modules/operators/functions/pytorch_fn.py | huawei-noah/xingtian | train | 308 |
e273e77b604f23b055b2fa7d8c25d16df4986e8c | [
"for patient in patientDao.fetchAllPatients():\n if patient['id'] == id:\n return patient\napi.abort(404, \"Patient {} doesn't exist\".format(id))",
"patient = self.get(id)\npatientDao.deletePatient(id)\nreturn ('patient {} deleted successfully'.format(id), 200)",
"currPatient = self.get(id)\nupdatedP... | <|body_start_0|>
for patient in patientDao.fetchAllPatients():
if patient['id'] == id:
return patient
api.abort(404, "Patient {} doesn't exist".format(id))
<|end_body_0|>
<|body_start_1|>
patient = self.get(id)
patientDao.deletePatient(id)
return ('pa... | Patient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Patient:
def get(self, id):
"""get patient by input id"""
<|body_0|>
def delete(self, id):
"""delete a specific patient"""
<|body_1|>
def put(self, id):
"""Update a patient record"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_013784 | 2,957 | no_license | [
{
"docstring": "get patient by input id",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "delete a specific patient",
"name": "delete",
"signature": "def delete(self, id)"
},
{
"docstring": "Update a patient record",
"name": "put",
"signature": "def put... | 3 | stack_v2_sparse_classes_30k_train_013857 | Implement the Python class `Patient` described below.
Class description:
Implement the Patient class.
Method signatures and docstrings:
- def get(self, id): get patient by input id
- def delete(self, id): delete a specific patient
- def put(self, id): Update a patient record | Implement the Python class `Patient` described below.
Class description:
Implement the Patient class.
Method signatures and docstrings:
- def get(self, id): get patient by input id
- def delete(self, id): delete a specific patient
- def put(self, id): Update a patient record
<|skeleton|>
class Patient:
def get(... | d5aa7d822fa6b729a699cccad5a3f83f2d2a3bdb | <|skeleton|>
class Patient:
def get(self, id):
"""get patient by input id"""
<|body_0|>
def delete(self, id):
"""delete a specific patient"""
<|body_1|>
def put(self, id):
"""Update a patient record"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Patient:
def get(self, id):
"""get patient by input id"""
for patient in patientDao.fetchAllPatients():
if patient['id'] == id:
return patient
api.abort(404, "Patient {} doesn't exist".format(id))
def delete(self, id):
"""delete a specific patie... | the_stack_v2_python_sparse | apis/patient.py | Manik-Jain/EMR_API | train | 0 | |
f02e92cd35b59e74fdf3fbc59cff5fa2e379240d | [
"self.show = show\nlog.info('Looking up show: %s' % self.show)\nself.season = str(int(season))\nself.episode = str(int(episode))\nself.show_id, self.show = self.__get_show_id()\nlog.debug('Retrieved show id: %s' % self.show_id)\nlog.debug('Retrieved canonical show name: %s' % self.show)\nself.title = self.__get_epi... | <|body_start_0|>
self.show = show
log.info('Looking up show: %s' % self.show)
self.season = str(int(season))
self.episode = str(int(episode))
self.show_id, self.show = self.__get_show_id()
log.debug('Retrieved show id: %s' % self.show_id)
log.debug('Retrieved cano... | TvRage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TvRage:
def __init__(self, show, season, episode):
""":param show_name: The show name of the episode title to be retrieved."""
<|body_0|>
def __get_show_id(self):
"""Retrieves the show ID of the show name passed in when the class is instantiated. :raises URLError: Ra... | stack_v2_sparse_classes_36k_train_013785 | 4,759 | permissive | [
{
"docstring": ":param show_name: The show name of the episode title to be retrieved.",
"name": "__init__",
"signature": "def __init__(self, show, season, episode)"
},
{
"docstring": "Retrieves the show ID of the show name passed in when the class is instantiated. :raises URLError: Raised when a... | 3 | stack_v2_sparse_classes_30k_train_006291 | Implement the Python class `TvRage` described below.
Class description:
Implement the TvRage class.
Method signatures and docstrings:
- def __init__(self, show, season, episode): :param show_name: The show name of the episode title to be retrieved.
- def __get_show_id(self): Retrieves the show ID of the show name pas... | Implement the Python class `TvRage` described below.
Class description:
Implement the TvRage class.
Method signatures and docstrings:
- def __init__(self, show, season, episode): :param show_name: The show name of the episode title to be retrieved.
- def __get_show_id(self): Retrieves the show ID of the show name pas... | aa44757ae4e61b32acfe7260e56868d1477dc96e | <|skeleton|>
class TvRage:
def __init__(self, show, season, episode):
""":param show_name: The show name of the episode title to be retrieved."""
<|body_0|>
def __get_show_id(self):
"""Retrieves the show ID of the show name passed in when the class is instantiated. :raises URLError: Ra... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TvRage:
def __init__(self, show, season, episode):
""":param show_name: The show name of the episode title to be retrieved."""
self.show = show
log.info('Looking up show: %s' % self.show)
self.season = str(int(season))
self.episode = str(int(episode))
self.show_... | the_stack_v2_python_sparse | tvrenamr/lib/tvrage.py | msabramo/tvrenamr | train | 0 | |
8b723db43a5ab241fb6a084d0eeb1fd2143eed7f | [
"if isinstance(klass, ContentType):\n ct = klass\nelse:\n ct = ContentType.objects.get_for_model(klass)\nids = self.filter_for_permission_name(permission, target_obj_or_class, can_delegate=can_delegate).filter(object_type=ct).values_list('object_id', flat=True)\nreturn ct.model_class().objects.filter(id__in=i... | <|body_start_0|>
if isinstance(klass, ContentType):
ct = klass
else:
ct = ContentType.objects.get_for_model(klass)
ids = self.filter_for_permission_name(permission, target_obj_or_class, can_delegate=can_delegate).filter(object_type=ct).values_list('object_id', flat=True)
... | Extends L{GenericObjectManager} to add useful functions for getting L{Permittee}s. | PermitteeManager | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PermitteeManager:
"""Extends L{GenericObjectManager} to add useful functions for getting L{Permittee}s."""
def filter_for_class_and_permission_name(self, klass, permission, target_obj_or_class, can_delegate=False):
"""Return a queryset filtered for only those who own a permission for... | stack_v2_sparse_classes_36k_train_013786 | 21,795 | permissive | [
{
"docstring": "Return a queryset filtered for only those who own a permission for a particular object. Further, the returned queryset is of class given by C{klass}. @param klass: The class of the objects in the returned queryset. @type klass: C{class} or C{ContentType}. @param permission: name of the permissio... | 4 | null | Implement the Python class `PermitteeManager` described below.
Class description:
Extends L{GenericObjectManager} to add useful functions for getting L{Permittee}s.
Method signatures and docstrings:
- def filter_for_class_and_permission_name(self, klass, permission, target_obj_or_class, can_delegate=False): Return a ... | Implement the Python class `PermitteeManager` described below.
Class description:
Extends L{GenericObjectManager} to add useful functions for getting L{Permittee}s.
Method signatures and docstrings:
- def filter_for_class_and_permission_name(self, klass, permission, target_obj_or_class, can_delegate=False): Return a ... | 059ed2b3308bda2af5e1942dc9967e6573dd6a53 | <|skeleton|>
class PermitteeManager:
"""Extends L{GenericObjectManager} to add useful functions for getting L{Permittee}s."""
def filter_for_class_and_permission_name(self, klass, permission, target_obj_or_class, can_delegate=False):
"""Return a queryset filtered for only those who own a permission for... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PermitteeManager:
"""Extends L{GenericObjectManager} to add useful functions for getting L{Permittee}s."""
def filter_for_class_and_permission_name(self, klass, permission, target_obj_or_class, can_delegate=False):
"""Return a queryset filtered for only those who own a permission for a particular... | the_stack_v2_python_sparse | expedient/src/python/expedient/common/permissions/managers.py | dana-i2cat/felix | train | 4 |
5aba69e32bace2512f6077f56d4679e82f7c1586 | [
"self.mailbox_vec = mailbox_vec\nself.pst_params = pst_params\nself.skip_mbx_permit_for_pst = skip_mbx_permit_for_pst\nself.target_folder_path = target_folder_path\nself.target_mailbox = target_mailbox",
"if dictionary is None:\n return None\nmailbox_vec = None\nif dictionary.get('mailboxVec') != None:\n ma... | <|body_start_0|>
self.mailbox_vec = mailbox_vec
self.pst_params = pst_params
self.skip_mbx_permit_for_pst = skip_mbx_permit_for_pst
self.target_folder_path = target_folder_path
self.target_mailbox = target_mailbox
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
... | Implementation of the 'RestoreOutlookParams' model. TODO: type description here. Attributes: mailbox_vec (list of RestoreOutlookParams_Mailbox): In a RestoreJob , user will provide the list of mailboxes to be restored. Provision is there for restoring full AND partial mailbox recovery. pst_params (EwsToPstConversionPar... | RestoreOutlookParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RestoreOutlookParams:
"""Implementation of the 'RestoreOutlookParams' model. TODO: type description here. Attributes: mailbox_vec (list of RestoreOutlookParams_Mailbox): In a RestoreJob , user will provide the list of mailboxes to be restored. Provision is there for restoring full AND partial mai... | stack_v2_sparse_classes_36k_train_013787 | 4,261 | permissive | [
{
"docstring": "Constructor for the RestoreOutlookParams class",
"name": "__init__",
"signature": "def __init__(self, mailbox_vec=None, pst_params=None, skip_mbx_permit_for_pst=None, target_folder_path=None, target_mailbox=None)"
},
{
"docstring": "Creates an instance of this model from a dictio... | 2 | stack_v2_sparse_classes_30k_train_001911 | Implement the Python class `RestoreOutlookParams` described below.
Class description:
Implementation of the 'RestoreOutlookParams' model. TODO: type description here. Attributes: mailbox_vec (list of RestoreOutlookParams_Mailbox): In a RestoreJob , user will provide the list of mailboxes to be restored. Provision is t... | Implement the Python class `RestoreOutlookParams` described below.
Class description:
Implementation of the 'RestoreOutlookParams' model. TODO: type description here. Attributes: mailbox_vec (list of RestoreOutlookParams_Mailbox): In a RestoreJob , user will provide the list of mailboxes to be restored. Provision is t... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RestoreOutlookParams:
"""Implementation of the 'RestoreOutlookParams' model. TODO: type description here. Attributes: mailbox_vec (list of RestoreOutlookParams_Mailbox): In a RestoreJob , user will provide the list of mailboxes to be restored. Provision is there for restoring full AND partial mai... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RestoreOutlookParams:
"""Implementation of the 'RestoreOutlookParams' model. TODO: type description here. Attributes: mailbox_vec (list of RestoreOutlookParams_Mailbox): In a RestoreJob , user will provide the list of mailboxes to be restored. Provision is there for restoring full AND partial mailbox recovery... | the_stack_v2_python_sparse | cohesity_management_sdk/models/restore_outlook_params.py | cohesity/management-sdk-python | train | 24 |
b4b9b3a017c348d205600bf4bdb8023fff9cd5a9 | [
"data = json.dumps(kwargs)\nresp, body = self.post('tasks', data)\nself.expected_success(201, resp.status)\nbody = json.loads(body)\nreturn rest_client.ResponseBody(resp, body)",
"url = 'tasks'\nif kwargs:\n url += '?%s' % urllib.urlencode(kwargs)\nresp, body = self.get(url)\nself.expected_success(200, resp.st... | <|body_start_0|>
data = json.dumps(kwargs)
resp, body = self.post('tasks', data)
self.expected_success(201, resp.status)
body = json.loads(body)
return rest_client.ResponseBody(resp, body)
<|end_body_0|>
<|body_start_1|>
url = 'tasks'
if kwargs:
url +... | TaskClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskClient:
def create_task(self, **kwargs):
"""Create a task. For a full list of available parameters, please refer to the official API reference: https://developer.openstack.org/api-ref/image/v2/#create-task"""
<|body_0|>
def list_tasks(self, **kwargs):
"""List tas... | stack_v2_sparse_classes_36k_train_013788 | 2,275 | permissive | [
{
"docstring": "Create a task. For a full list of available parameters, please refer to the official API reference: https://developer.openstack.org/api-ref/image/v2/#create-task",
"name": "create_task",
"signature": "def create_task(self, **kwargs)"
},
{
"docstring": "List tasks. For a full list... | 3 | null | Implement the Python class `TaskClient` described below.
Class description:
Implement the TaskClient class.
Method signatures and docstrings:
- def create_task(self, **kwargs): Create a task. For a full list of available parameters, please refer to the official API reference: https://developer.openstack.org/api-ref/i... | Implement the Python class `TaskClient` described below.
Class description:
Implement the TaskClient class.
Method signatures and docstrings:
- def create_task(self, **kwargs): Create a task. For a full list of available parameters, please refer to the official API reference: https://developer.openstack.org/api-ref/i... | 3932a799e620a20d7abf7b89e21b520683a1809b | <|skeleton|>
class TaskClient:
def create_task(self, **kwargs):
"""Create a task. For a full list of available parameters, please refer to the official API reference: https://developer.openstack.org/api-ref/image/v2/#create-task"""
<|body_0|>
def list_tasks(self, **kwargs):
"""List tas... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskClient:
def create_task(self, **kwargs):
"""Create a task. For a full list of available parameters, please refer to the official API reference: https://developer.openstack.org/api-ref/image/v2/#create-task"""
data = json.dumps(kwargs)
resp, body = self.post('tasks', data)
s... | the_stack_v2_python_sparse | tempest/lib/services/image/v2/tasks_client.py | openstack/tempest | train | 270 | |
2b4c0d6ccb17c055b6bdd11288f1fe69827794cd | [
"@lru_cache(maxsize=len(prices))\ndef maximize(i: int) -> int:\n if i >= len(prices):\n return 0\n max_profit = 0\n min_val = prices[i]\n max_val = prices[i]\n for j in range(i + 1, len(prices)):\n if prices[j] < min_val:\n min_val = prices[j]\n max_val = prices[j]... | <|body_start_0|>
@lru_cache(maxsize=len(prices))
def maximize(i: int) -> int:
if i >= len(prices):
return 0
max_profit = 0
min_val = prices[i]
max_val = prices[i]
for j in range(i + 1, len(prices)):
if prices[j] ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit_dp(self, prices: List[int]) -> int:
"""Divide the problem: - If you select to buy and sell in [i,j] => sub-problem for [j+2, n] - Find the maximum you can do by trying systematically all possibilities => Complexity is in the O(N**2) maximum"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_013789 | 2,553 | no_license | [
{
"docstring": "Divide the problem: - If you select to buy and sell in [i,j] => sub-problem for [j+2, n] - Find the maximum you can do by trying systematically all possibilities => Complexity is in the O(N**2) maximum",
"name": "maxProfit_dp",
"signature": "def maxProfit_dp(self, prices: List[int]) -> i... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit_dp(self, prices: List[int]) -> int: Divide the problem: - If you select to buy and sell in [i,j] => sub-problem for [j+2, n] - Find the maximum you can do by trying... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit_dp(self, prices: List[int]) -> int: Divide the problem: - If you select to buy and sell in [i,j] => sub-problem for [j+2, n] - Find the maximum you can do by trying... | 3ffcfee5cedf421d5de6d0dec4ba53b0eecbbff8 | <|skeleton|>
class Solution:
def maxProfit_dp(self, prices: List[int]) -> int:
"""Divide the problem: - If you select to buy and sell in [i,j] => sub-problem for [j+2, n] - Find the maximum you can do by trying systematically all possibilities => Complexity is in the O(N**2) maximum"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit_dp(self, prices: List[int]) -> int:
"""Divide the problem: - If you select to buy and sell in [i,j] => sub-problem for [j+2, n] - Find the maximum you can do by trying systematically all possibilities => Complexity is in the O(N**2) maximum"""
@lru_cache(maxsize=len(pri... | the_stack_v2_python_sparse | stocks/WithCoolDown.py | QuentinDuval/PythonExperiments | train | 3 | |
0ff636fc4dda7402f0c82b3949ea44233b392e99 | [
"self.nFichier = nomFichier\nself.strOut = f'Analyse du fichier {self.nFichier} :\\n'\nself.trames = lectureOctets(nomFichier)",
"strOuts = list()\nfor numTrame, trame in enumerate(self.trames):\n trame, strOut, estIPV4 = trameEthernet(trame)\n strOut.replace('\\n', '\\n\\t')\n if not estIPV4:\n s... | <|body_start_0|>
self.nFichier = nomFichier
self.strOut = f'Analyse du fichier {self.nFichier} :\n'
self.trames = lectureOctets(nomFichier)
<|end_body_0|>
<|body_start_1|>
strOuts = list()
for numTrame, trame in enumerate(self.trames):
trame, strOut, estIPV4 = trameE... | ProtocolAnalyser va récupérer et analyser la trame En utilisant les différents fonctions d'analyse | ProtocolAnalyser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProtocolAnalyser:
"""ProtocolAnalyser va récupérer et analyser la trame En utilisant les différents fonctions d'analyse"""
def __init__(self, nomFichier: str):
"""ProtocolAnalyser(nomFichier : str) -> ProtocolAnalyser Object nomFichier"""
<|body_0|>
def analyse(self):
... | stack_v2_sparse_classes_36k_train_013790 | 2,446 | no_license | [
{
"docstring": "ProtocolAnalyser(nomFichier : str) -> ProtocolAnalyser Object nomFichier",
"name": "__init__",
"signature": "def __init__(self, nomFichier: str)"
},
{
"docstring": "ProtocolAnalyser.analyse() -> list[str] Retourne une liste de str repésentant l'analyse",
"name": "analyse",
... | 2 | stack_v2_sparse_classes_30k_val_000573 | Implement the Python class `ProtocolAnalyser` described below.
Class description:
ProtocolAnalyser va récupérer et analyser la trame En utilisant les différents fonctions d'analyse
Method signatures and docstrings:
- def __init__(self, nomFichier: str): ProtocolAnalyser(nomFichier : str) -> ProtocolAnalyser Object no... | Implement the Python class `ProtocolAnalyser` described below.
Class description:
ProtocolAnalyser va récupérer et analyser la trame En utilisant les différents fonctions d'analyse
Method signatures and docstrings:
- def __init__(self, nomFichier: str): ProtocolAnalyser(nomFichier : str) -> ProtocolAnalyser Object no... | ef71a890c1510ddf614b41a75aeeb1667954a99f | <|skeleton|>
class ProtocolAnalyser:
"""ProtocolAnalyser va récupérer et analyser la trame En utilisant les différents fonctions d'analyse"""
def __init__(self, nomFichier: str):
"""ProtocolAnalyser(nomFichier : str) -> ProtocolAnalyser Object nomFichier"""
<|body_0|>
def analyse(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProtocolAnalyser:
"""ProtocolAnalyser va récupérer et analyser la trame En utilisant les différents fonctions d'analyse"""
def __init__(self, nomFichier: str):
"""ProtocolAnalyser(nomFichier : str) -> ProtocolAnalyser Object nomFichier"""
self.nFichier = nomFichier
self.strOut = f... | the_stack_v2_python_sparse | core.py | T-Shai/lite-wireshark-clone | train | 0 |
6f91d47659a9ec242d4cb42f02a6de6f1b296116 | [
"table_object = Tag.query.get_or_404(int_id)\nform = TagForm(obj=table_object)\ntemplate_return = flask.render_template('edit.html', form=form)\nreturn template_return",
"table_object = Tag.query.get_or_404(int_id)\nform = TagForm(obj=table_object)\nif form.validate_on_submit():\n form.populate_obj(table_objec... | <|body_start_0|>
table_object = Tag.query.get_or_404(int_id)
form = TagForm(obj=table_object)
template_return = flask.render_template('edit.html', form=form)
return template_return
<|end_body_0|>
<|body_start_1|>
table_object = Tag.query.get_or_404(int_id)
form = TagForm... | EditTagResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditTagResource:
def get(self, int_id):
"""Args: int_id: Returns:"""
<|body_0|>
def post(self, int_id):
"""Args: int_id: Returns:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
table_object = Tag.query.get_or_404(int_id)
form = TagForm(obj=... | stack_v2_sparse_classes_36k_train_013791 | 3,873 | no_license | [
{
"docstring": "Args: int_id: Returns:",
"name": "get",
"signature": "def get(self, int_id)"
},
{
"docstring": "Args: int_id: Returns:",
"name": "post",
"signature": "def post(self, int_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004149 | Implement the Python class `EditTagResource` described below.
Class description:
Implement the EditTagResource class.
Method signatures and docstrings:
- def get(self, int_id): Args: int_id: Returns:
- def post(self, int_id): Args: int_id: Returns: | Implement the Python class `EditTagResource` described below.
Class description:
Implement the EditTagResource class.
Method signatures and docstrings:
- def get(self, int_id): Args: int_id: Returns:
- def post(self, int_id): Args: int_id: Returns:
<|skeleton|>
class EditTagResource:
def get(self, int_id):
... | 865403e3b1717226b25c9d64aeb4c35c7220e7e3 | <|skeleton|>
class EditTagResource:
def get(self, int_id):
"""Args: int_id: Returns:"""
<|body_0|>
def post(self, int_id):
"""Args: int_id: Returns:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EditTagResource:
def get(self, int_id):
"""Args: int_id: Returns:"""
table_object = Tag.query.get_or_404(int_id)
form = TagForm(obj=table_object)
template_return = flask.render_template('edit.html', form=form)
return template_return
def post(self, int_id):
... | the_stack_v2_python_sparse | things_organizer/web_app/tags/resources.py | yeyeto2788/Things-Organizer | train | 11 | |
d5efa6ff0d0bc190951eab8e986435d63f523567 | [
"super(ErrorCalculator, self).__init__()\nself.report_cer = report_cer\nself.report_wer = report_wer\nself.char_list = char_list\nself.space = sym_space\nself.blank = sym_blank\nif self.blank in self.char_list:\n self.idx_blank = self.char_list.index(self.blank)\nelse:\n self.idx_blank = None\nif self.space i... | <|body_start_0|>
super(ErrorCalculator, self).__init__()
self.report_cer = report_cer
self.report_wer = report_wer
self.char_list = char_list
self.space = sym_space
self.blank = sym_blank
if self.blank in self.char_list:
self.idx_blank = self.char_list... | Calculate CER and WER for E2E_ASR and CTC models during training. :param y_hats: numpy array with predicted text :param y_pads: numpy array with true (target) text :param char_list: :param sym_space: :param sym_blank: :return: | ErrorCalculator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ErrorCalculator:
"""Calculate CER and WER for E2E_ASR and CTC models during training. :param y_hats: numpy array with predicted text :param y_pads: numpy array with true (target) text :param char_list: :param sym_space: :param sym_blank: :return:"""
def __init__(self, char_list, sym_space, s... | stack_v2_sparse_classes_36k_train_013792 | 8,773 | permissive | [
{
"docstring": "Construct an ErrorCalculator object.",
"name": "__init__",
"signature": "def __init__(self, char_list, sym_space, sym_blank, report_cer=False, report_wer=False)"
},
{
"docstring": "Calculate sentence-level WER/CER score. :param torch.Tensor ys_hat: prediction (batch, seqlen) :par... | 6 | stack_v2_sparse_classes_30k_train_008362 | Implement the Python class `ErrorCalculator` described below.
Class description:
Calculate CER and WER for E2E_ASR and CTC models during training. :param y_hats: numpy array with predicted text :param y_pads: numpy array with true (target) text :param char_list: :param sym_space: :param sym_blank: :return:
Method sig... | Implement the Python class `ErrorCalculator` described below.
Class description:
Calculate CER and WER for E2E_ASR and CTC models during training. :param y_hats: numpy array with predicted text :param y_pads: numpy array with true (target) text :param char_list: :param sym_space: :param sym_blank: :return:
Method sig... | bcd20948db7846ee523443ef9fd78c7a1248c95e | <|skeleton|>
class ErrorCalculator:
"""Calculate CER and WER for E2E_ASR and CTC models during training. :param y_hats: numpy array with predicted text :param y_pads: numpy array with true (target) text :param char_list: :param sym_space: :param sym_blank: :return:"""
def __init__(self, char_list, sym_space, s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ErrorCalculator:
"""Calculate CER and WER for E2E_ASR and CTC models during training. :param y_hats: numpy array with predicted text :param y_pads: numpy array with true (target) text :param char_list: :param sym_space: :param sym_blank: :return:"""
def __init__(self, char_list, sym_space, sym_blank, rep... | the_stack_v2_python_sparse | espnet/nets/e2e_asr_common.py | espnet/espnet | train | 7,242 |
d0e7af811b4f439da0ead90bd784ac32d479f46a | [
"mapping_dict = mapping.get_field_mapping_dict()\napproved_dict = {input: (output, approved) for input, (output, approved) in mapping_dict.items() if approved == APPROVED}\nreturn FieldMapping.from_dict(approved_dict)",
"if remove_unapproved_source_mappings:\n source_mapping = FieldMappingResolver._remove_unap... | <|body_start_0|>
mapping_dict = mapping.get_field_mapping_dict()
approved_dict = {input: (output, approved) for input, (output, approved) in mapping_dict.items() if approved == APPROVED}
return FieldMapping.from_dict(approved_dict)
<|end_body_0|>
<|body_start_1|>
if remove_unapproved_so... | FieldMappingResolver | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FieldMappingResolver:
def _remove_unapproved_mappings(mapping: FieldMapping):
"""Removes unnaproved mappings from a FieldMapping."""
<|body_0|>
def _resolve_mapping(new_mapping: FieldMapping, source_mapping: FieldMapping, overwrite: bool=False, remove_unapproved_source_mappi... | stack_v2_sparse_classes_36k_train_013793 | 2,895 | permissive | [
{
"docstring": "Removes unnaproved mappings from a FieldMapping.",
"name": "_remove_unapproved_mappings",
"signature": "def _remove_unapproved_mappings(mapping: FieldMapping)"
},
{
"docstring": "Combines source and new field mappings. May overwrite source mappings or remove unapproved source map... | 3 | stack_v2_sparse_classes_30k_test_000261 | Implement the Python class `FieldMappingResolver` described below.
Class description:
Implement the FieldMappingResolver class.
Method signatures and docstrings:
- def _remove_unapproved_mappings(mapping: FieldMapping): Removes unnaproved mappings from a FieldMapping.
- def _resolve_mapping(new_mapping: FieldMapping,... | Implement the Python class `FieldMappingResolver` described below.
Class description:
Implement the FieldMappingResolver class.
Method signatures and docstrings:
- def _remove_unapproved_mappings(mapping: FieldMapping): Removes unnaproved mappings from a FieldMapping.
- def _resolve_mapping(new_mapping: FieldMapping,... | 2c6eef098c902ed5e074e98b0419affacfa4d6ca | <|skeleton|>
class FieldMappingResolver:
def _remove_unapproved_mappings(mapping: FieldMapping):
"""Removes unnaproved mappings from a FieldMapping."""
<|body_0|>
def _resolve_mapping(new_mapping: FieldMapping, source_mapping: FieldMapping, overwrite: bool=False, remove_unapproved_source_mappi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FieldMappingResolver:
def _remove_unapproved_mappings(mapping: FieldMapping):
"""Removes unnaproved mappings from a FieldMapping."""
mapping_dict = mapping.get_field_mapping_dict()
approved_dict = {input: (output, approved) for input, (output, approved) in mapping_dict.items() if appro... | the_stack_v2_python_sparse | etl/helpers/field_mapping/resolver.py | GIIMSC/goodwilldatainitiative-etl | train | 0 | |
bdeeae3d262cf069d26a89adb49b3094b82d7944 | [
"api_token_model = self.api_token_model\nassert api_token_model is not None\nif not token:\n return None\nqueryset = api_token_model.objects.filter(token=token).select_related('user')\ntry:\n webapi_token = queryset.get()\nexcept api_token_model.DoesNotExist:\n return None\nuser = webapi_token.user\nif not... | <|body_start_0|>
api_token_model = self.api_token_model
assert api_token_model is not None
if not token:
return None
queryset = api_token_model.objects.filter(token=token).select_related('user')
try:
webapi_token = queryset.get()
except api_token_m... | Mixin for a standard auth backend for API token authentication. This will handle authenticating users and their API tokens for API requests. It's only used for API requests that specify a username and a token. This class is meant to be subclassed and mixed in to another Django auth backend (note: not a :py:class:`~djbl... | TokenAuthBackendMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TokenAuthBackendMixin:
"""Mixin for a standard auth backend for API token authentication. This will handle authenticating users and their API tokens for API requests. It's only used for API requests that specify a username and a token. This class is meant to be subclassed and mixed in to another ... | stack_v2_sparse_classes_36k_train_013794 | 12,956 | no_license | [
{
"docstring": "Authenticate a user, given a token ID. Args: request (django.http.HttpRequest, unused): The request object. token (unicode, optional): The API token ID to authenticate with. **kwargs (dict, unused): Keyword arguments for future expansion. Returns: django.contrib.auth.models.User: The resulting u... | 2 | stack_v2_sparse_classes_30k_train_009105 | Implement the Python class `TokenAuthBackendMixin` described below.
Class description:
Mixin for a standard auth backend for API token authentication. This will handle authenticating users and their API tokens for API requests. It's only used for API requests that specify a username and a token. This class is meant to... | Implement the Python class `TokenAuthBackendMixin` described below.
Class description:
Mixin for a standard auth backend for API token authentication. This will handle authenticating users and their API tokens for API requests. It's only used for API requests that specify a username and a token. This class is meant to... | 99ea69d80a3a393b0da4da3152ef26e808dd8487 | <|skeleton|>
class TokenAuthBackendMixin:
"""Mixin for a standard auth backend for API token authentication. This will handle authenticating users and their API tokens for API requests. It's only used for API requests that specify a username and a token. This class is meant to be subclassed and mixed in to another ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TokenAuthBackendMixin:
"""Mixin for a standard auth backend for API token authentication. This will handle authenticating users and their API tokens for API requests. It's only used for API requests that specify a username and a token. This class is meant to be subclassed and mixed in to another Django auth b... | the_stack_v2_python_sparse | djblets/webapi/auth/backends/api_tokens.py | chipx86/djblets | train | 2 |
baf53e7da6ecad69cd56647b7e9a54103e28fb5d | [
"num_issues = ProcessingIssue.objects.filter(project=project).count()\nlast_seen = ProcessingIssue.objects.filter(project=project).order_by('-datetime').first()\nresolveable_issues, has_more = ProcessingIssue.objects.find_resolved(project_id=project.id)\nreprocessing_issues = ReprocessingReport.objects.filter(proje... | <|body_start_0|>
num_issues = ProcessingIssue.objects.filter(project=project).count()
last_seen = ProcessingIssue.objects.filter(project=project).order_by('-datetime').first()
resolveable_issues, has_more = ProcessingIssue.objects.find_resolved(project_id=project.id)
reprocessing_issues ... | ProjectProcessingIssuesEndpoint | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectProcessingIssuesEndpoint:
def get(self, request, project):
"""List a project's processing issues."""
<|body_0|>
def delete(self, request, project):
"""This deletes all open processing issues and triggers reprocessing if the user disabled the checkbox"""
... | stack_v2_sparse_classes_36k_train_013795 | 4,504 | permissive | [
{
"docstring": "List a project's processing issues.",
"name": "get",
"signature": "def get(self, request, project)"
},
{
"docstring": "This deletes all open processing issues and triggers reprocessing if the user disabled the checkbox",
"name": "delete",
"signature": "def delete(self, re... | 2 | stack_v2_sparse_classes_30k_train_008863 | Implement the Python class `ProjectProcessingIssuesEndpoint` described below.
Class description:
Implement the ProjectProcessingIssuesEndpoint class.
Method signatures and docstrings:
- def get(self, request, project): List a project's processing issues.
- def delete(self, request, project): This deletes all open pro... | Implement the Python class `ProjectProcessingIssuesEndpoint` described below.
Class description:
Implement the ProjectProcessingIssuesEndpoint class.
Method signatures and docstrings:
- def get(self, request, project): List a project's processing issues.
- def delete(self, request, project): This deletes all open pro... | b937615079d7b24dc225a83b99b1b65da932fc66 | <|skeleton|>
class ProjectProcessingIssuesEndpoint:
def get(self, request, project):
"""List a project's processing issues."""
<|body_0|>
def delete(self, request, project):
"""This deletes all open processing issues and triggers reprocessing if the user disabled the checkbox"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProjectProcessingIssuesEndpoint:
def get(self, request, project):
"""List a project's processing issues."""
num_issues = ProcessingIssue.objects.filter(project=project).count()
last_seen = ProcessingIssue.objects.filter(project=project).order_by('-datetime').first()
resolveable... | the_stack_v2_python_sparse | src/sentry/api/endpoints/project_processingissues.py | atlassian/sentry | train | 1 | |
76dc655443d97b04ba4b0f17cc54bfc5137d1885 | [
"if constraints == None:\n constraints = []\nChain.__init__(self, constraints)",
"for const in self._constraints:\n if const.is_valid(value):\n return True\nreturn False"
] | <|body_start_0|>
if constraints == None:
constraints = []
Chain.__init__(self, constraints)
<|end_body_0|>
<|body_start_1|>
for const in self._constraints:
if const.is_valid(value):
return True
return False
<|end_body_1|>
| Rappresenta una And Chain di condizioni sugli attributi | OrChain | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrChain:
"""Rappresenta una And Chain di condizioni sugli attributi"""
def __init__(self, constraints=None):
"""Constructor"""
<|body_0|>
def is_valid(self, value):
"""La chain e' vera non appena la prima condizione vera e' trovata nella lista"""
<|body_1... | stack_v2_sparse_classes_36k_train_013796 | 684 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, constraints=None)"
},
{
"docstring": "La chain e' vera non appena la prima condizione vera e' trovata nella lista",
"name": "is_valid",
"signature": "def is_valid(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019674 | Implement the Python class `OrChain` described below.
Class description:
Rappresenta una And Chain di condizioni sugli attributi
Method signatures and docstrings:
- def __init__(self, constraints=None): Constructor
- def is_valid(self, value): La chain e' vera non appena la prima condizione vera e' trovata nella list... | Implement the Python class `OrChain` described below.
Class description:
Rappresenta una And Chain di condizioni sugli attributi
Method signatures and docstrings:
- def __init__(self, constraints=None): Constructor
- def is_valid(self, value): La chain e' vera non appena la prima condizione vera e' trovata nella list... | 468a9ba295ab658670472a0156772f428d7f3fe4 | <|skeleton|>
class OrChain:
"""Rappresenta una And Chain di condizioni sugli attributi"""
def __init__(self, constraints=None):
"""Constructor"""
<|body_0|>
def is_valid(self, value):
"""La chain e' vera non appena la prima condizione vera e' trovata nella lista"""
<|body_1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrChain:
"""Rappresenta una And Chain di condizioni sugli attributi"""
def __init__(self, constraints=None):
"""Constructor"""
if constraints == None:
constraints = []
Chain.__init__(self, constraints)
def is_valid(self, value):
"""La chain e' vera non app... | the_stack_v2_python_sparse | src/icse/ps/constraints/OrChain.py | ximarx/icse-ps | train | 0 |
2059ff505cc63f7bbe28b28affec0d65d9281b96 | [
"self.fetch_snapshot_metadata_disabled = fetch_snapshot_metadata_disabled\nself.notify_backup_complete_disabled = notify_backup_complete_disabled\nself.vss_copy_only_backup = vss_copy_only_backup\nself.vss_excluded_writers = vss_excluded_writers",
"if dictionary is None:\n return None\nfetch_snapshot_metadata_... | <|body_start_0|>
self.fetch_snapshot_metadata_disabled = fetch_snapshot_metadata_disabled
self.notify_backup_complete_disabled = notify_backup_complete_disabled
self.vss_copy_only_backup = vss_copy_only_backup
self.vss_excluded_writers = vss_excluded_writers
<|end_body_0|>
<|body_start_... | Implementation of the 'PhysicalSnapshotParams' model. This message contains params that controls the snapshot process for a physical host. Attributes: fetch_snapshot_metadata_disabled (bool): Whether fetching and storing of snapshot metadata was disabled. notify_backup_complete_disabled (bool): Whether notify backup co... | PhysicalSnapshotParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PhysicalSnapshotParams:
"""Implementation of the 'PhysicalSnapshotParams' model. This message contains params that controls the snapshot process for a physical host. Attributes: fetch_snapshot_metadata_disabled (bool): Whether fetching and storing of snapshot metadata was disabled. notify_backup_... | stack_v2_sparse_classes_36k_train_013797 | 2,812 | permissive | [
{
"docstring": "Constructor for the PhysicalSnapshotParams class",
"name": "__init__",
"signature": "def __init__(self, fetch_snapshot_metadata_disabled=None, notify_backup_complete_disabled=None, vss_copy_only_backup=None, vss_excluded_writers=None)"
},
{
"docstring": "Creates an instance of th... | 2 | null | Implement the Python class `PhysicalSnapshotParams` described below.
Class description:
Implementation of the 'PhysicalSnapshotParams' model. This message contains params that controls the snapshot process for a physical host. Attributes: fetch_snapshot_metadata_disabled (bool): Whether fetching and storing of snapsho... | Implement the Python class `PhysicalSnapshotParams` described below.
Class description:
Implementation of the 'PhysicalSnapshotParams' model. This message contains params that controls the snapshot process for a physical host. Attributes: fetch_snapshot_metadata_disabled (bool): Whether fetching and storing of snapsho... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class PhysicalSnapshotParams:
"""Implementation of the 'PhysicalSnapshotParams' model. This message contains params that controls the snapshot process for a physical host. Attributes: fetch_snapshot_metadata_disabled (bool): Whether fetching and storing of snapshot metadata was disabled. notify_backup_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PhysicalSnapshotParams:
"""Implementation of the 'PhysicalSnapshotParams' model. This message contains params that controls the snapshot process for a physical host. Attributes: fetch_snapshot_metadata_disabled (bool): Whether fetching and storing of snapshot metadata was disabled. notify_backup_complete_disa... | the_stack_v2_python_sparse | cohesity_management_sdk/models/physical_snapshot_params.py | cohesity/management-sdk-python | train | 24 |
d7bd582f19fca523ea8fb6c125588eea41f29403 | [
"self._request_msg = request_msg\nself._response_msg = response_msg\nhttp.HttpMessageWriter.__init__(self, sock, response_msg, write_timeout)",
"if self._request_msg.start_line:\n request_method = self._request_msg.start_line.method\nelse:\n request_method = None\nresponse_code = self._response_msg.start_li... | <|body_start_0|>
self._request_msg = request_msg
self._response_msg = response_msg
http.HttpMessageWriter.__init__(self, sock, response_msg, write_timeout)
<|end_body_0|>
<|body_start_1|>
if self._request_msg.start_line:
request_method = self._request_msg.start_line.method
... | Writes an HTTP response to client. | _HttpServerToClientMessageWriter | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _HttpServerToClientMessageWriter:
"""Writes an HTTP response to client."""
def __init__(self, sock, request_msg, response_msg, write_timeout):
"""Writes the response to the client. @type sock: socket @param sock: Target socket @type request_msg: http.HttpMessage @param request_msg: R... | stack_v2_sparse_classes_36k_train_013798 | 20,673 | permissive | [
{
"docstring": "Writes the response to the client. @type sock: socket @param sock: Target socket @type request_msg: http.HttpMessage @param request_msg: Request message, required to determine whether response may have a message body @type response_msg: http.HttpMessage @param response_msg: Response message @typ... | 2 | null | Implement the Python class `_HttpServerToClientMessageWriter` described below.
Class description:
Writes an HTTP response to client.
Method signatures and docstrings:
- def __init__(self, sock, request_msg, response_msg, write_timeout): Writes the response to the client. @type sock: socket @param sock: Target socket ... | Implement the Python class `_HttpServerToClientMessageWriter` described below.
Class description:
Writes an HTTP response to client.
Method signatures and docstrings:
- def __init__(self, sock, request_msg, response_msg, write_timeout): Writes the response to the client. @type sock: socket @param sock: Target socket ... | 456ea285a7583183c2c8e5bcffe9006ec8a9d658 | <|skeleton|>
class _HttpServerToClientMessageWriter:
"""Writes an HTTP response to client."""
def __init__(self, sock, request_msg, response_msg, write_timeout):
"""Writes the response to the client. @type sock: socket @param sock: Target socket @type request_msg: http.HttpMessage @param request_msg: R... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _HttpServerToClientMessageWriter:
"""Writes an HTTP response to client."""
def __init__(self, sock, request_msg, response_msg, write_timeout):
"""Writes the response to the client. @type sock: socket @param sock: Target socket @type request_msg: http.HttpMessage @param request_msg: Request messag... | the_stack_v2_python_sparse | lib/http/server.py | ganeti/ganeti | train | 465 |
caa0f6e81d8b6908bfa1eba5fbecc64271a56bd6 | [
"hash_map = {}\nfor i, n in enumerate(nums):\n for d in range(t + 1):\n if n - d in hash_map and i - hash_map[abs(n - d)] <= k:\n return True\n elif n + d in hash_map and i - hash_map[n + d] <= k:\n return True\n hash_map[n] = i\nreturn False",
"if k == 0:\n return Fal... | <|body_start_0|>
hash_map = {}
for i, n in enumerate(nums):
for d in range(t + 1):
if n - d in hash_map and i - hash_map[abs(n - d)] <= k:
return True
elif n + d in hash_map and i - hash_map[n + d] <= k:
return True
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate_TLE(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
... | stack_v2_sparse_classes_36k_train_013799 | 3,134 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "containsNearbyAlmostDuplicate_TLE",
"signature": "def containsNearbyAlmostDuplicate_TLE(self, nums, k, t)"
},
{
"docstring": ":type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "contai... | 2 | stack_v2_sparse_classes_30k_train_016427 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate_TLE(self, nums, k, t): :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmostDuplicate(self, nums, k, t): :type... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate_TLE(self, nums, k, t): :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmostDuplicate(self, nums, k, t): :type... | 2d5fa4cd696d5035ea8859befeadc5cc436959c9 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate_TLE(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def containsNearbyAlmostDuplicate_TLE(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
hash_map = {}
for i, n in enumerate(nums):
for d in range(t + 1):
if n - d in hash_map and i - hash_map[abs(n - d)] <= k:
... | the_stack_v2_python_sparse | SourceCode/Python/Problem/00220.Contains Duplicate III.py | roger6blog/LeetCode | train | 0 |
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