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df20f248a8ac767375322240a686bef587420019 | [
"super(SupervisedTrainer, self).__init__(agent, env, log_mode, 'epoch', device=device, **kwargs)\nself.agent = agent\nif isinstance(dataset, (str, os.PathLike)):\n self.dataset = MarioExpertTransitions(data_path=dataset, screen_size=84, grayscale=True, device=device, length=length)\nelif isinstance(dataset, Data... | <|body_start_0|>
super(SupervisedTrainer, self).__init__(agent, env, log_mode, 'epoch', device=device, **kwargs)
self.agent = agent
if isinstance(dataset, (str, os.PathLike)):
self.dataset = MarioExpertTransitions(data_path=dataset, screen_size=84, grayscale=True, device=device, leng... | SupervisedTrainer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SupervisedTrainer:
def __init__(self, agent, env, dataset, possible_actions: List=None, embedding: bool=False, shuffle: bool=True, log_mode=['stdout'], device='cpu', length=None, **kwargs):
"""Trainer for behavior cloning of dataset into agent Args: agent: Agent to train env: Env from wh... | stack_v2_sparse_classes_75kplus_train_007900 | 4,158 | no_license | [
{
"docstring": "Trainer for behavior cloning of dataset into agent Args: agent: Agent to train env: Env from which daa has originated dataset: Dataset to train on. Can be path to dataset or dataset object. possible_actions (List, optional): All actions that are possible. Defaults to None which implies all actio... | 2 | stack_v2_sparse_classes_30k_train_037317 | Implement the Python class `SupervisedTrainer` described below.
Class description:
Implement the SupervisedTrainer class.
Method signatures and docstrings:
- def __init__(self, agent, env, dataset, possible_actions: List=None, embedding: bool=False, shuffle: bool=True, log_mode=['stdout'], device='cpu', length=None, ... | Implement the Python class `SupervisedTrainer` described below.
Class description:
Implement the SupervisedTrainer class.
Method signatures and docstrings:
- def __init__(self, agent, env, dataset, possible_actions: List=None, embedding: bool=False, shuffle: bool=True, log_mode=['stdout'], device='cpu', length=None, ... | 0af7771fc8c6970d2b402ac77c59d04e4544c032 | <|skeleton|>
class SupervisedTrainer:
def __init__(self, agent, env, dataset, possible_actions: List=None, embedding: bool=False, shuffle: bool=True, log_mode=['stdout'], device='cpu', length=None, **kwargs):
"""Trainer for behavior cloning of dataset into agent Args: agent: Agent to train env: Env from wh... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SupervisedTrainer:
def __init__(self, agent, env, dataset, possible_actions: List=None, embedding: bool=False, shuffle: bool=True, log_mode=['stdout'], device='cpu', length=None, **kwargs):
"""Trainer for behavior cloning of dataset into agent Args: agent: Agent to train env: Env from which daa has or... | the_stack_v2_python_sparse | mario/supervised/supervised.py | sampreet-arthi/emotionalmario | train | 0 | |
e8e9eb5f505df6e09ec40360d3a68d403593d7d1 | [
"self.type = req_type\nself.topic_name = topic_name\nself.tutorials = tutorials\nself.title = title\nself.link = link",
"self.type = metadata['type']\nif self.type == 'internal':\n self.topic_name = metadata['topic_name']\n if 'tutorials' in metadata:\n self.tutorials = metadata['tutorials']\nelse:\n... | <|body_start_0|>
self.type = req_type
self.topic_name = topic_name
self.tutorials = tutorials
self.title = title
self.link = link
<|end_body_0|>
<|body_start_1|>
self.type = metadata['type']
if self.type == 'internal':
self.topic_name = metadata['topi... | Class to describe a training requirement. | Requirement | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Requirement:
"""Class to describe a training requirement."""
def __init__(self, req_type='internal', topic_name='introduction', title=None, tutorials=None, link=None):
"""Init a Requirement instance."""
<|body_0|>
def init_from_dict(self, metadata):
"""Init from ... | stack_v2_sparse_classes_75kplus_train_007901 | 2,056 | permissive | [
{
"docstring": "Init a Requirement instance.",
"name": "__init__",
"signature": "def __init__(self, req_type='internal', topic_name='introduction', title=None, tutorials=None, link=None)"
},
{
"docstring": "Init from a dictionary generated by export_to_ordered_dict.",
"name": "init_from_dict... | 3 | stack_v2_sparse_classes_30k_train_002312 | Implement the Python class `Requirement` described below.
Class description:
Class to describe a training requirement.
Method signatures and docstrings:
- def __init__(self, req_type='internal', topic_name='introduction', title=None, tutorials=None, link=None): Init a Requirement instance.
- def init_from_dict(self, ... | Implement the Python class `Requirement` described below.
Class description:
Class to describe a training requirement.
Method signatures and docstrings:
- def __init__(self, req_type='internal', topic_name='introduction', title=None, tutorials=None, link=None): Init a Requirement instance.
- def init_from_dict(self, ... | 95db94dbd77ab8f273f1fad37fb82c529a94d382 | <|skeleton|>
class Requirement:
"""Class to describe a training requirement."""
def __init__(self, req_type='internal', topic_name='introduction', title=None, tutorials=None, link=None):
"""Init a Requirement instance."""
<|body_0|>
def init_from_dict(self, metadata):
"""Init from ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Requirement:
"""Class to describe a training requirement."""
def __init__(self, req_type='internal', topic_name='introduction', title=None, tutorials=None, link=None):
"""Init a Requirement instance."""
self.type = req_type
self.topic_name = topic_name
self.tutorials = tut... | the_stack_v2_python_sparse | planemo/training/utils.py | galaxyproject/planemo | train | 85 |
df9745a20f57537e87c0a1aef7b28c95c0bf8f55 | [
"if not accumulate:\n buffer.reset()\nself.buffer = buffer\nself.accumulate = accumulate",
"stream = PushBackStream(stream)\nfor mark, event in stream:\n if mark:\n if not self.accumulate:\n self.buffer.reset()\n events = [(mark, event)]\n self.buffer.append(event)\n s... | <|body_start_0|>
if not accumulate:
buffer.reset()
self.buffer = buffer
self.accumulate = accumulate
<|end_body_0|>
<|body_start_1|>
stream = PushBackStream(stream)
for mark, event in stream:
if mark:
if not self.accumulate:
... | Copy selected events into a buffer for later insertion. | CopyTransformation | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CopyTransformation:
"""Copy selected events into a buffer for later insertion."""
def __init__(self, buffer, accumulate=False):
"""Create the copy transformation. :param buffer: the `StreamBuffer` in which the selection should be stored"""
<|body_0|>
def __call__(self, s... | stack_v2_sparse_classes_75kplus_train_007902 | 48,275 | permissive | [
{
"docstring": "Create the copy transformation. :param buffer: the `StreamBuffer` in which the selection should be stored",
"name": "__init__",
"signature": "def __init__(self, buffer, accumulate=False)"
},
{
"docstring": "Apply the transformation to the marked stream. :param stream: the marked ... | 2 | stack_v2_sparse_classes_30k_test_002293 | Implement the Python class `CopyTransformation` described below.
Class description:
Copy selected events into a buffer for later insertion.
Method signatures and docstrings:
- def __init__(self, buffer, accumulate=False): Create the copy transformation. :param buffer: the `StreamBuffer` in which the selection should ... | Implement the Python class `CopyTransformation` described below.
Class description:
Copy selected events into a buffer for later insertion.
Method signatures and docstrings:
- def __init__(self, buffer, accumulate=False): Create the copy transformation. :param buffer: the `StreamBuffer` in which the selection should ... | e1612568cbf3349a0160f67eee5b255e35057f45 | <|skeleton|>
class CopyTransformation:
"""Copy selected events into a buffer for later insertion."""
def __init__(self, buffer, accumulate=False):
"""Create the copy transformation. :param buffer: the `StreamBuffer` in which the selection should be stored"""
<|body_0|>
def __call__(self, s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CopyTransformation:
"""Copy selected events into a buffer for later insertion."""
def __init__(self, buffer, accumulate=False):
"""Create the copy transformation. :param buffer: the `StreamBuffer` in which the selection should be stored"""
if not accumulate:
buffer.reset()
... | the_stack_v2_python_sparse | genshi/filters/transform.py | edgewall/genshi | train | 76 |
df4a52bbfd32fbf8f0ac006a288b3399d57abc96 | [
"pygame.init()\nself.screen = pygame.display.set_mode((1200, 700))\npygame.display.set_caption('Alien')\nself.bg_color = (0, 0, 230)\nself.foto = Foto(self)",
"while True:\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n sys.exit()\n self.screen.fill(self.bg_color)\n ... | <|body_start_0|>
pygame.init()
self.screen = pygame.display.set_mode((1200, 700))
pygame.display.set_caption('Alien')
self.bg_color = (0, 0, 230)
self.foto = Foto(self)
<|end_body_0|>
<|body_start_1|>
while True:
for event in pygame.event.get():
... | Класс для управления ресурсами и поведением игры. | Blue | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Blue:
"""Класс для управления ресурсами и поведением игры."""
def __init__(self):
"""Инициализирует игру и создает игровые ресурсы."""
<|body_0|>
def run_game(self):
"""Запуск основного цикла игры."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_007903 | 1,349 | no_license | [
{
"docstring": "Инициализирует игру и создает игровые ресурсы.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Запуск основного цикла игры.",
"name": "run_game",
"signature": "def run_game(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_030150 | Implement the Python class `Blue` described below.
Class description:
Класс для управления ресурсами и поведением игры.
Method signatures and docstrings:
- def __init__(self): Инициализирует игру и создает игровые ресурсы.
- def run_game(self): Запуск основного цикла игры. | Implement the Python class `Blue` described below.
Class description:
Класс для управления ресурсами и поведением игры.
Method signatures and docstrings:
- def __init__(self): Инициализирует игру и создает игровые ресурсы.
- def run_game(self): Запуск основного цикла игры.
<|skeleton|>
class Blue:
"""Класс для у... | 4a8f948bf6d9622cc45fa9586d3c111cf948abbf | <|skeleton|>
class Blue:
"""Класс для управления ресурсами и поведением игры."""
def __init__(self):
"""Инициализирует игру и создает игровые ресурсы."""
<|body_0|>
def run_game(self):
"""Запуск основного цикла игры."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Blue:
"""Класс для управления ресурсами и поведением игры."""
def __init__(self):
"""Инициализирует игру и создает игровые ресурсы."""
pygame.init()
self.screen = pygame.display.set_mode((1200, 700))
pygame.display.set_caption('Alien')
self.bg_color = (0, 0, 230)
... | the_stack_v2_python_sparse | 14/homework/blue.py | Naumov89/python_metiz | train | 0 |
0cec33dbc4e960cfb8edc8f59541ac7a51aaea07 | [
"dic_roman = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000, 'IV': 4, 'IX': 9, 'XL': 40, 'XC': 90, 'CD': 400, 'CM': 900}\ni = 0\nnum = 0\nrom_size = 0\nsRomNum = sRomNum.replace('U', 'V')\nwhile i < len(sRomNum):\n if i + 1 < len(sRomNum) and sRomNum[i:i + 2] in dic_roman:\n num += dic_r... | <|body_start_0|>
dic_roman = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000, 'IV': 4, 'IX': 9, 'XL': 40, 'XC': 90, 'CD': 400, 'CM': 900}
i = 0
num = 0
rom_size = 0
sRomNum = sRomNum.replace('U', 'V')
while i < len(sRomNum):
if i + 1 < len(sRo... | RomanNumbers | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RomanNumbers:
def romanToInt(self, sRomNum):
"""Convert roman (string) into number (int)"""
<|body_0|>
def intToRoman(self, num):
"""Convert number (int) into roman (string)"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
dic_roman = {'I': 1, 'V': 5... | stack_v2_sparse_classes_75kplus_train_007904 | 7,978 | permissive | [
{
"docstring": "Convert roman (string) into number (int)",
"name": "romanToInt",
"signature": "def romanToInt(self, sRomNum)"
},
{
"docstring": "Convert number (int) into roman (string)",
"name": "intToRoman",
"signature": "def intToRoman(self, num)"
}
] | 2 | stack_v2_sparse_classes_30k_train_033443 | Implement the Python class `RomanNumbers` described below.
Class description:
Implement the RomanNumbers class.
Method signatures and docstrings:
- def romanToInt(self, sRomNum): Convert roman (string) into number (int)
- def intToRoman(self, num): Convert number (int) into roman (string) | Implement the Python class `RomanNumbers` described below.
Class description:
Implement the RomanNumbers class.
Method signatures and docstrings:
- def romanToInt(self, sRomNum): Convert roman (string) into number (int)
- def intToRoman(self, num): Convert number (int) into roman (string)
<|skeleton|>
class RomanNum... | 921fb5ec3f5b40b169bd3f65417580878365ccab | <|skeleton|>
class RomanNumbers:
def romanToInt(self, sRomNum):
"""Convert roman (string) into number (int)"""
<|body_0|>
def intToRoman(self, num):
"""Convert number (int) into roman (string)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RomanNumbers:
def romanToInt(self, sRomNum):
"""Convert roman (string) into number (int)"""
dic_roman = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000, 'IV': 4, 'IX': 9, 'XL': 40, 'XC': 90, 'CD': 400, 'CM': 900}
i = 0
num = 0
rom_size = 0
sRomN... | the_stack_v2_python_sparse | passim/passim/utils.py | ErwinKomen/RU-passim | train | 0 | |
679907b3f6ce26210793a204bcf396f0834bc00b | [
"self._width = width\nself._height = height\nself._images = {}\nreturn",
"bmp = self._images.get(filename)\nif bmp is None:\n image = wx.Image(filename, wx.BITMAP_TYPE_ANY)\n self._scale(image)\n bmp = image.ConvertToBitmap()\n self._images[filename] = bmp\nreturn bmp",
"if image.GetWidth() != self.... | <|body_start_0|>
self._width = width
self._height = height
self._images = {}
return
<|end_body_0|>
<|body_start_1|>
bmp = self._images.get(filename)
if bmp is None:
image = wx.Image(filename, wx.BITMAP_TYPE_ANY)
self._scale(image)
bmp ... | An image cache. | ImageCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageCache:
"""An image cache."""
def __init__(self, width, height):
"""Creates a new image cache."""
<|body_0|>
def get_image(self, filename):
"""Returns the specified image (currently as a bitmap)."""
<|body_1|>
def _scale(self, image):
"""... | stack_v2_sparse_classes_75kplus_train_007905 | 2,463 | no_license | [
{
"docstring": "Creates a new image cache.",
"name": "__init__",
"signature": "def __init__(self, width, height)"
},
{
"docstring": "Returns the specified image (currently as a bitmap).",
"name": "get_image",
"signature": "def get_image(self, filename)"
},
{
"docstring": "Scales ... | 3 | stack_v2_sparse_classes_30k_train_018303 | Implement the Python class `ImageCache` described below.
Class description:
An image cache.
Method signatures and docstrings:
- def __init__(self, width, height): Creates a new image cache.
- def get_image(self, filename): Returns the specified image (currently as a bitmap).
- def _scale(self, image): Scales the spec... | Implement the Python class `ImageCache` described below.
Class description:
An image cache.
Method signatures and docstrings:
- def __init__(self, width, height): Creates a new image cache.
- def get_image(self, filename): Returns the specified image (currently as a bitmap).
- def _scale(self, image): Scales the spec... | 5466f5858dbd2f1f082fa0d7417b57c8fb068fad | <|skeleton|>
class ImageCache:
"""An image cache."""
def __init__(self, width, height):
"""Creates a new image cache."""
<|body_0|>
def get_image(self, filename):
"""Returns the specified image (currently as a bitmap)."""
<|body_1|>
def _scale(self, image):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImageCache:
"""An image cache."""
def __init__(self, width, height):
"""Creates a new image cache."""
self._width = width
self._height = height
self._images = {}
return
def get_image(self, filename):
"""Returns the specified image (currently as a bitma... | the_stack_v2_python_sparse | maps/build/EnthoughtBase/enthought/util/wx/image_cache.py | m-elhussieny/code | train | 0 |
bf776e813123b81703495bedd3d7d299e0577058 | [
"if request.matched_route:\n return (request.matched_route.name, request.method) in cls.API_WHITELIST\nreturn False",
"auth_client = self._get_auth_client(request)\nif not auth_client:\n return None\nuser = None\nif (forwarded_userid := request.headers.get('X-Forwarded-User', None)):\n try:\n user... | <|body_start_0|>
if request.matched_route:
return (request.matched_route.name, request.method) in cls.API_WHITELIST
return False
<|end_body_0|>
<|body_start_1|>
auth_client = self._get_auth_client(request)
if not auth_client:
return None
user = None
... | An authentication policy for registered AuthClients. Auth clients must be registered with grant type `client_credentials` and will need to perform basic HTTP auth with their username and password set to their auth client id, and secret. A client can also pass an `X-Forwarded-User` header with the userid to act as user ... | AuthClientPolicy | [
"BSD-2-Clause",
"BSD-3-Clause",
"BSD-2-Clause-Views"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthClientPolicy:
"""An authentication policy for registered AuthClients. Auth clients must be registered with grant type `client_credentials` and will need to perform basic HTTP auth with their username and password set to their auth client id, and secret. A client can also pass an `X-Forwarded-... | stack_v2_sparse_classes_75kplus_train_007906 | 3,907 | permissive | [
{
"docstring": "Get whether this policy should accept this request.",
"name": "handles",
"signature": "def handles(cls, request)"
},
{
"docstring": "Get an Identity object for valid credentials. :param request: Pyramid request to inspect :returns: An `Identity` object if the login is authenticat... | 3 | null | Implement the Python class `AuthClientPolicy` described below.
Class description:
An authentication policy for registered AuthClients. Auth clients must be registered with grant type `client_credentials` and will need to perform basic HTTP auth with their username and password set to their auth client id, and secret. ... | Implement the Python class `AuthClientPolicy` described below.
Class description:
An authentication policy for registered AuthClients. Auth clients must be registered with grant type `client_credentials` and will need to perform basic HTTP auth with their username and password set to their auth client id, and secret. ... | 232446d776fdb906d2fb253cf0a409c6813a08d6 | <|skeleton|>
class AuthClientPolicy:
"""An authentication policy for registered AuthClients. Auth clients must be registered with grant type `client_credentials` and will need to perform basic HTTP auth with their username and password set to their auth client id, and secret. A client can also pass an `X-Forwarded-... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthClientPolicy:
"""An authentication policy for registered AuthClients. Auth clients must be registered with grant type `client_credentials` and will need to perform basic HTTP auth with their username and password set to their auth client id, and secret. A client can also pass an `X-Forwarded-User` header ... | the_stack_v2_python_sparse | h/security/policy/_basic_http_auth.py | hypothesis/h | train | 2,558 |
b598dc9882b29cc3ae97b6249cd39d3dc8576ec3 | [
"nums.sort()\nlength = len(nums)\ndp = [0] * length\nmax = 0\nmax_index = 0\nchild = [0] * length\nans = []\nfor i in xrange(length - 1, -1, -1):\n for j in xrange(i, length):\n if nums[j] % nums[i] == 0 and dp[i] < dp[j] + 1:\n dp[i] = dp[j] + 1\n child[i] = j\n if max < ... | <|body_start_0|>
nums.sort()
length = len(nums)
dp = [0] * length
max = 0
max_index = 0
child = [0] * length
ans = []
for i in xrange(length - 1, -1, -1):
for j in xrange(i, length):
if nums[j] % nums[i] == 0 and dp[i] < dp[j] +... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largestDivisibleSubset(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def largestDivisibleSubset2(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
nums.sort(... | stack_v2_sparse_classes_75kplus_train_007907 | 2,280 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "largestDivisibleSubset",
"signature": "def largestDivisibleSubset(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "largestDivisibleSubset2",
"signature": "def largestDivisibleSubset2(self... | 2 | stack_v2_sparse_classes_30k_train_019357 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestDivisibleSubset(self, nums): :type nums: List[int] :rtype: List[int]
- def largestDivisibleSubset2(self, nums): :type nums: List[int] :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestDivisibleSubset(self, nums): :type nums: List[int] :rtype: List[int]
- def largestDivisibleSubset2(self, nums): :type nums: List[int] :rtype: List[int]
<|skeleton|>
c... | 2d5fa4cd696d5035ea8859befeadc5cc436959c9 | <|skeleton|>
class Solution:
def largestDivisibleSubset(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def largestDivisibleSubset2(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def largestDivisibleSubset(self, nums):
""":type nums: List[int] :rtype: List[int]"""
nums.sort()
length = len(nums)
dp = [0] * length
max = 0
max_index = 0
child = [0] * length
ans = []
for i in xrange(length - 1, -1, -1):
... | the_stack_v2_python_sparse | SourceCode/Python/Problem/00368.Largest Divisible Subset.py | roger6blog/LeetCode | train | 0 | |
842008ecb8fd17b3f1189ffe2782722c8e3440c2 | [
"self.hass = hass\nself.config_entry: ConfigEntry = config_entry\nself.cam = cam\nsuper().__init__(self.hass, _LOGGER, name=f'{DOMAIN} {config_entry.data[CONF_HOST]}', update_interval=timedelta(seconds=10))",
"try:\n await self.cam.update()\nexcept PyDroidIPCamException as err:\n raise UpdateFailed(err) fro... | <|body_start_0|>
self.hass = hass
self.config_entry: ConfigEntry = config_entry
self.cam = cam
super().__init__(self.hass, _LOGGER, name=f'{DOMAIN} {config_entry.data[CONF_HOST]}', update_interval=timedelta(seconds=10))
<|end_body_0|>
<|body_start_1|>
try:
await self... | Coordinator class for the Android IP Webcam. | AndroidIPCamDataUpdateCoordinator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AndroidIPCamDataUpdateCoordinator:
"""Coordinator class for the Android IP Webcam."""
def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, cam: PyDroidIPCam) -> None:
"""Initialize the Android IP Webcam."""
<|body_0|>
async def _async_update_data(self) -> N... | stack_v2_sparse_classes_75kplus_train_007908 | 1,351 | permissive | [
{
"docstring": "Initialize the Android IP Webcam.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, cam: PyDroidIPCam) -> None"
},
{
"docstring": "Update Android IP Webcam entities.",
"name": "_async_update_data",
"signature": "async d... | 2 | stack_v2_sparse_classes_30k_val_001456 | Implement the Python class `AndroidIPCamDataUpdateCoordinator` described below.
Class description:
Coordinator class for the Android IP Webcam.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, cam: PyDroidIPCam) -> None: Initialize the Android IP Webcam.
- async d... | Implement the Python class `AndroidIPCamDataUpdateCoordinator` described below.
Class description:
Coordinator class for the Android IP Webcam.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, cam: PyDroidIPCam) -> None: Initialize the Android IP Webcam.
- async d... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class AndroidIPCamDataUpdateCoordinator:
"""Coordinator class for the Android IP Webcam."""
def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, cam: PyDroidIPCam) -> None:
"""Initialize the Android IP Webcam."""
<|body_0|>
async def _async_update_data(self) -> N... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AndroidIPCamDataUpdateCoordinator:
"""Coordinator class for the Android IP Webcam."""
def __init__(self, hass: HomeAssistant, config_entry: ConfigEntry, cam: PyDroidIPCam) -> None:
"""Initialize the Android IP Webcam."""
self.hass = hass
self.config_entry: ConfigEntry = config_ent... | the_stack_v2_python_sparse | homeassistant/components/android_ip_webcam/coordinator.py | home-assistant/core | train | 35,501 |
2b8a21124a357217d1f3f1183ce4c836f4cb657c | [
"try:\n stream.write(json.dumps(data, indent=2))\nexcept Exception as e:\n raise SerDeError('JSON dump error') from e",
"try:\n return json.load(stream)\nexcept Exception as e:\n raise SerDeError('JSON load error') from e"
] | <|body_start_0|>
try:
stream.write(json.dumps(data, indent=2))
except Exception as e:
raise SerDeError('JSON dump error') from e
<|end_body_0|>
<|body_start_1|>
try:
return json.load(stream)
except Exception as e:
raise SerDeError('JSON lo... | A Json Serializer/deserializer. | JsonSerDe | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JsonSerDe:
"""A Json Serializer/deserializer."""
def serialize_to_stream(self, data: Any, stream: TextIO) -> None:
"""Write serialized data as Json into a stream. Args: data: data stream: a stream Raises: SerDeError: if an error occurred during writing or serialization"""
<|b... | stack_v2_sparse_classes_75kplus_train_007909 | 1,197 | no_license | [
{
"docstring": "Write serialized data as Json into a stream. Args: data: data stream: a stream Raises: SerDeError: if an error occurred during writing or serialization",
"name": "serialize_to_stream",
"signature": "def serialize_to_stream(self, data: Any, stream: TextIO) -> None"
},
{
"docstring... | 2 | stack_v2_sparse_classes_30k_train_036437 | Implement the Python class `JsonSerDe` described below.
Class description:
A Json Serializer/deserializer.
Method signatures and docstrings:
- def serialize_to_stream(self, data: Any, stream: TextIO) -> None: Write serialized data as Json into a stream. Args: data: data stream: a stream Raises: SerDeError: if an erro... | Implement the Python class `JsonSerDe` described below.
Class description:
A Json Serializer/deserializer.
Method signatures and docstrings:
- def serialize_to_stream(self, data: Any, stream: TextIO) -> None: Write serialized data as Json into a stream. Args: data: data stream: a stream Raises: SerDeError: if an erro... | 3da2161c3c9e0652c2cfc78ab514359bcf2e436b | <|skeleton|>
class JsonSerDe:
"""A Json Serializer/deserializer."""
def serialize_to_stream(self, data: Any, stream: TextIO) -> None:
"""Write serialized data as Json into a stream. Args: data: data stream: a stream Raises: SerDeError: if an error occurred during writing or serialization"""
<|b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JsonSerDe:
"""A Json Serializer/deserializer."""
def serialize_to_stream(self, data: Any, stream: TextIO) -> None:
"""Write serialized data as Json into a stream. Args: data: data stream: a stream Raises: SerDeError: if an error occurred during writing or serialization"""
try:
... | the_stack_v2_python_sparse | ywh2bt/core/serializers/json.py | yeswehack/ywh2bugtracker | train | 10 |
ca99f6a5e32ce4dcab7c7c8cda4b5ad922d3cbca | [
"b = GraphBuilder('GZTest', {'fontname': '\"sans bold\"', 'shape': 'doublecircle', 'style': 'filled'})\nb.node('A', attrs={'label': '\"STOP!\"', 'color': 'red'})\nb.node('C', attrs={'fillcolor': 'green', 'color': 'black', 'fontcolor': 'white', 'label': '\"go\"'})\nb.edge('A', 'B', 'C')\nb.nodeCluster('A', 'B', 'C',... | <|body_start_0|>
b = GraphBuilder('GZTest', {'fontname': '"sans bold"', 'shape': 'doublecircle', 'style': 'filled'})
b.node('A', attrs={'label': '"STOP!"', 'color': 'red'})
b.node('C', attrs={'fillcolor': 'green', 'color': 'black', 'fontcolor': 'white', 'label': '"go"'})
b.edge('A', 'B',... | python3 -m unittest graphviz.GZTest | TestGZ | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestGZ:
"""python3 -m unittest graphviz.GZTest"""
def test_graph_builder(self):
"""python3 -m unittest graphviz.GZTest.TestGZ.test_graph_builder"""
<|body_0|>
def test_digraph_builder(self):
"""python3 -m unittest graphviz.GZTest.TestGZ.test_digraph_builder"""
... | stack_v2_sparse_classes_75kplus_train_007910 | 1,395 | no_license | [
{
"docstring": "python3 -m unittest graphviz.GZTest.TestGZ.test_graph_builder",
"name": "test_graph_builder",
"signature": "def test_graph_builder(self)"
},
{
"docstring": "python3 -m unittest graphviz.GZTest.TestGZ.test_digraph_builder",
"name": "test_digraph_builder",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_046538 | Implement the Python class `TestGZ` described below.
Class description:
python3 -m unittest graphviz.GZTest
Method signatures and docstrings:
- def test_graph_builder(self): python3 -m unittest graphviz.GZTest.TestGZ.test_graph_builder
- def test_digraph_builder(self): python3 -m unittest graphviz.GZTest.TestGZ.test_... | Implement the Python class `TestGZ` described below.
Class description:
python3 -m unittest graphviz.GZTest
Method signatures and docstrings:
- def test_graph_builder(self): python3 -m unittest graphviz.GZTest.TestGZ.test_graph_builder
- def test_digraph_builder(self): python3 -m unittest graphviz.GZTest.TestGZ.test_... | 0d12fbb8e5a4418c8c43b20452672e288bcca031 | <|skeleton|>
class TestGZ:
"""python3 -m unittest graphviz.GZTest"""
def test_graph_builder(self):
"""python3 -m unittest graphviz.GZTest.TestGZ.test_graph_builder"""
<|body_0|>
def test_digraph_builder(self):
"""python3 -m unittest graphviz.GZTest.TestGZ.test_digraph_builder"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestGZ:
"""python3 -m unittest graphviz.GZTest"""
def test_graph_builder(self):
"""python3 -m unittest graphviz.GZTest.TestGZ.test_graph_builder"""
b = GraphBuilder('GZTest', {'fontname': '"sans bold"', 'shape': 'doublecircle', 'style': 'filled'})
b.node('A', attrs={'label': '"STO... | the_stack_v2_python_sparse | graphviz/GZTest.py | rcrowther/wild | train | 0 |
4bdf84211d39ef691061a0bc57d411a9efb966cf | [
"self.measure_list = measure_list\nself.op_list = [item.operations for item in measure_list]\nself.operations = dict()\nself.operation_statistics()",
"for item in self.op_list:\n for key in item:\n if key not in self.operations:\n self.operations[key] = item[key]\n else:\n s... | <|body_start_0|>
self.measure_list = measure_list
self.op_list = [item.operations for item in measure_list]
self.operations = dict()
self.operation_statistics()
<|end_body_0|>
<|body_start_1|>
for item in self.op_list:
for key in item:
if key not in s... | MeasureList | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeasureList:
def __init__(self, measure_list):
"""measure_list: a list of Measure Objects"""
<|body_0|>
def operation_statistics(self):
"""add up operations consumption of all layers"""
<|body_1|>
def get_operation_time(self):
"""return a string ... | stack_v2_sparse_classes_75kplus_train_007911 | 5,111 | permissive | [
{
"docstring": "measure_list: a list of Measure Objects",
"name": "__init__",
"signature": "def __init__(self, measure_list)"
},
{
"docstring": "add up operations consumption of all layers",
"name": "operation_statistics",
"signature": "def operation_statistics(self)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_train_020951 | Implement the Python class `MeasureList` described below.
Class description:
Implement the MeasureList class.
Method signatures and docstrings:
- def __init__(self, measure_list): measure_list: a list of Measure Objects
- def operation_statistics(self): add up operations consumption of all layers
- def get_operation_... | Implement the Python class `MeasureList` described below.
Class description:
Implement the MeasureList class.
Method signatures and docstrings:
- def __init__(self, measure_list): measure_list: a list of Measure Objects
- def operation_statistics(self): add up operations consumption of all layers
- def get_operation_... | 6c3031487cd1447b7f5362483c14b108177387bb | <|skeleton|>
class MeasureList:
def __init__(self, measure_list):
"""measure_list: a list of Measure Objects"""
<|body_0|>
def operation_statistics(self):
"""add up operations consumption of all layers"""
<|body_1|>
def get_operation_time(self):
"""return a string ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MeasureList:
def __init__(self, measure_list):
"""measure_list: a list of Measure Objects"""
self.measure_list = measure_list
self.op_list = [item.operations for item in measure_list]
self.operations = dict()
self.operation_statistics()
def operation_statistics(sel... | the_stack_v2_python_sparse | keras_wide_deep_98_table_15GB/output/analyze.py | WenqiJiang/FPGA-Accelerator-for-Recommender-Systems | train | 6 | |
745ba62ecc7fbfe8a1efeb84d3f5a000a396f6ef | [
"b = (m ^ n).bit_length()\nb = int(log(m ^ n) // log(2)) + 1\nm >>= b\nreturn m << b",
"if m == n:\n return m\ncnt, digits = (0, 1)\ntmp = n\nwhile tmp > 1:\n digits += 1\n tmp >>= 1\nwhile digits > 1:\n if m < 2 ** (digits - 1):\n return cnt\n cnt += 2 ** (digits - 1)\n m -= 2 ** (digits... | <|body_start_0|>
b = (m ^ n).bit_length()
b = int(log(m ^ n) // log(2)) + 1
m >>= b
return m << b
<|end_body_0|>
<|body_start_1|>
if m == n:
return m
cnt, digits = (0, 1)
tmp = n
while tmp > 1:
digits += 1
tmp >>= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rangeBitwiseAnd_math(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_0|>
def rangeBitwiseAnd(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
b = (m ^ n).bit_length()... | stack_v2_sparse_classes_75kplus_train_007912 | 1,248 | no_license | [
{
"docstring": ":type m: int :type n: int :rtype: int",
"name": "rangeBitwiseAnd_math",
"signature": "def rangeBitwiseAnd_math(self, m, n)"
},
{
"docstring": ":type m: int :type n: int :rtype: int",
"name": "rangeBitwiseAnd",
"signature": "def rangeBitwiseAnd(self, m, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_023330 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rangeBitwiseAnd_math(self, m, n): :type m: int :type n: int :rtype: int
- def rangeBitwiseAnd(self, m, n): :type m: int :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rangeBitwiseAnd_math(self, m, n): :type m: int :type n: int :rtype: int
- def rangeBitwiseAnd(self, m, n): :type m: int :type n: int :rtype: int
<|skeleton|>
class Solution:... | f3fc71f344cd758cfce77f16ab72992c99ab288e | <|skeleton|>
class Solution:
def rangeBitwiseAnd_math(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_0|>
def rangeBitwiseAnd(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def rangeBitwiseAnd_math(self, m, n):
""":type m: int :type n: int :rtype: int"""
b = (m ^ n).bit_length()
b = int(log(m ^ n) // log(2)) + 1
m >>= b
return m << b
def rangeBitwiseAnd(self, m, n):
""":type m: int :type n: int :rtype: int"""
... | the_stack_v2_python_sparse | 201_rangeBitwiseAnd.py | jennyChing/leetCode | train | 2 | |
b051135f95f515cfb0dbedd7cc96c737a76c04f7 | [
"proxy = self.get_random_proxy()\nprint('this is request ip:' + proxy)\nrequest.meta['proxy'] = proxy",
"if response.status != 200:\n proxy = self.get_random_proxy()\n print('this is response ip:' + proxy)\n request.meta['proxy'] = proxy\n return request\nreturn response",
"with open('JD/ip_pool/ip_... | <|body_start_0|>
proxy = self.get_random_proxy()
print('this is request ip:' + proxy)
request.meta['proxy'] = proxy
<|end_body_0|>
<|body_start_1|>
if response.status != 200:
proxy = self.get_random_proxy()
print('this is response ip:' + proxy)
reques... | docstring for ProxyMiddleWare | ProxyMiddleware | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProxyMiddleware:
"""docstring for ProxyMiddleWare"""
def process_request(self, request, spider):
"""对request对象加上proxy"""
<|body_0|>
def process_response(self, request, response, spider):
"""对返回的response处理"""
<|body_1|>
def get_random_proxy(self):
... | stack_v2_sparse_classes_75kplus_train_007913 | 1,384 | no_license | [
{
"docstring": "对request对象加上proxy",
"name": "process_request",
"signature": "def process_request(self, request, spider)"
},
{
"docstring": "对返回的response处理",
"name": "process_response",
"signature": "def process_response(self, request, response, spider)"
},
{
"docstring": "随机从文件中读... | 3 | stack_v2_sparse_classes_30k_train_024719 | Implement the Python class `ProxyMiddleware` described below.
Class description:
docstring for ProxyMiddleWare
Method signatures and docstrings:
- def process_request(self, request, spider): 对request对象加上proxy
- def process_response(self, request, response, spider): 对返回的response处理
- def get_random_proxy(self): 随机从文件中读... | Implement the Python class `ProxyMiddleware` described below.
Class description:
docstring for ProxyMiddleWare
Method signatures and docstrings:
- def process_request(self, request, spider): 对request对象加上proxy
- def process_response(self, request, response, spider): 对返回的response处理
- def get_random_proxy(self): 随机从文件中读... | e15c36ca8c168fdf012cf616c1d38d202d677509 | <|skeleton|>
class ProxyMiddleware:
"""docstring for ProxyMiddleWare"""
def process_request(self, request, spider):
"""对request对象加上proxy"""
<|body_0|>
def process_response(self, request, response, spider):
"""对返回的response处理"""
<|body_1|>
def get_random_proxy(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProxyMiddleware:
"""docstring for ProxyMiddleWare"""
def process_request(self, request, spider):
"""对request对象加上proxy"""
proxy = self.get_random_proxy()
print('this is request ip:' + proxy)
request.meta['proxy'] = proxy
def process_response(self, request, response, sp... | the_stack_v2_python_sparse | JD/middlewares.py | Super-Louis/scrapy-JD | train | 3 |
0192f5c1becc8097e579a4a02b2821f032af2c7f | [
"ctype, object_pk = self.get_target_ctype_pk(context)\nif not object_pk:\n return self.comment_model.objects.none()\nqs = self.comment_model.objects.filter(content_type=ctype, object_pk=smart_unicode(object_pk))\nqs = qs.filter(is_public=True)\nif getattr(settings, 'COMMENTS_HIDE_REMOVED', False):\n qs = qs.f... | <|body_start_0|>
ctype, object_pk = self.get_target_ctype_pk(context)
if not object_pk:
return self.comment_model.objects.none()
qs = self.comment_model.objects.filter(content_type=ctype, object_pk=smart_unicode(object_pk))
qs = qs.filter(is_public=True)
if getattr(se... | EllaMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EllaMixin:
def get_query_set(self, context):
"""Override for the django..comments..BaseCommentNode.get_query_set that ignores the site FK"""
<|body_0|>
def get_target_ctype_pk(self, context):
"""override of the default behavior that handles Publishables specifically ... | stack_v2_sparse_classes_75kplus_train_007914 | 5,481 | no_license | [
{
"docstring": "Override for the django..comments..BaseCommentNode.get_query_set that ignores the site FK",
"name": "get_query_set",
"signature": "def get_query_set(self, context)"
},
{
"docstring": "override of the default behavior that handles Publishables specifically - it returns their speci... | 2 | stack_v2_sparse_classes_30k_train_052390 | Implement the Python class `EllaMixin` described below.
Class description:
Implement the EllaMixin class.
Method signatures and docstrings:
- def get_query_set(self, context): Override for the django..comments..BaseCommentNode.get_query_set that ignores the site FK
- def get_target_ctype_pk(self, context): override o... | Implement the Python class `EllaMixin` described below.
Class description:
Implement the EllaMixin class.
Method signatures and docstrings:
- def get_query_set(self, context): Override for the django..comments..BaseCommentNode.get_query_set that ignores the site FK
- def get_target_ctype_pk(self, context): override o... | edcae8ac03816631cf8fbae98b7730479f4c41b6 | <|skeleton|>
class EllaMixin:
def get_query_set(self, context):
"""Override for the django..comments..BaseCommentNode.get_query_set that ignores the site FK"""
<|body_0|>
def get_target_ctype_pk(self, context):
"""override of the default behavior that handles Publishables specifically ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EllaMixin:
def get_query_set(self, context):
"""Override for the django..comments..BaseCommentNode.get_query_set that ignores the site FK"""
ctype, object_pk = self.get_target_ctype_pk(context)
if not object_pk:
return self.comment_model.objects.none()
qs = self.com... | the_stack_v2_python_sparse | ella/ellacomments/templatetags/ellacomments_tags.py | majerm/ella | train | 1 | |
45c6349babc53629d9a05044afc51a540e0f4e34 | [
"self.tf = try_import_tensorflow()\nself.tf.compat.v1.disable_eager_execution()\ngraph = self.tf.Graph()\nwith graph.as_default():\n self.tf.import_graph_def(graph_def=input_graph, name='')\nself.ops = graph.get_operations()\nplaceholders = list(filter(lambda op: op.type == 'Placeholder', self.ops))\nassert len(... | <|body_start_0|>
self.tf = try_import_tensorflow()
self.tf.compat.v1.disable_eager_execution()
graph = self.tf.Graph()
with graph.as_default():
self.tf.import_graph_def(graph_def=input_graph, name='')
self.ops = graph.get_operations()
placeholders = list(filte... | ShapeFetcher | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShapeFetcher:
def __init__(self, input_graph):
"""Dynamically inference the node shapes. Parameters ---------- input_graph : graph_def The tensorflow input graph_def file."""
<|body_0|>
def get_shape_by_name(self, op_name):
"""Get the node output shape by its name Pa... | stack_v2_sparse_classes_75kplus_train_007915 | 2,660 | permissive | [
{
"docstring": "Dynamically inference the node shapes. Parameters ---------- input_graph : graph_def The tensorflow input graph_def file.",
"name": "__init__",
"signature": "def __init__(self, input_graph)"
},
{
"docstring": "Get the node output shape by its name Parameters ---------- op_name : ... | 2 | stack_v2_sparse_classes_30k_train_011928 | Implement the Python class `ShapeFetcher` described below.
Class description:
Implement the ShapeFetcher class.
Method signatures and docstrings:
- def __init__(self, input_graph): Dynamically inference the node shapes. Parameters ---------- input_graph : graph_def The tensorflow input graph_def file.
- def get_shape... | Implement the Python class `ShapeFetcher` described below.
Class description:
Implement the ShapeFetcher class.
Method signatures and docstrings:
- def __init__(self, input_graph): Dynamically inference the node shapes. Parameters ---------- input_graph : graph_def The tensorflow input graph_def file.
- def get_shape... | c11b8223ecf8b5ba881528071a8ae18df80584ba | <|skeleton|>
class ShapeFetcher:
def __init__(self, input_graph):
"""Dynamically inference the node shapes. Parameters ---------- input_graph : graph_def The tensorflow input graph_def file."""
<|body_0|>
def get_shape_by_name(self, op_name):
"""Get the node output shape by its name Pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ShapeFetcher:
def __init__(self, input_graph):
"""Dynamically inference the node shapes. Parameters ---------- input_graph : graph_def The tensorflow input graph_def file."""
self.tf = try_import_tensorflow()
self.tf.compat.v1.disable_eager_execution()
graph = self.tf.Graph()
... | the_stack_v2_python_sparse | nn_meter/ir_converters/frozenpb_converter/shape_fetcher.py | JiahangXu/nn-Meter | train | 0 | |
f34d04c6577fd8f9c685ef6b5d38dbaca3bc1c7c | [
"dicoms = []\ncompLines = []\nif otherReplaceValues:\n replaceValues.update(otherReplaceValues)\nif filename == newFilename:\n bkpFN = filename.split('.')[0] + '.BKP'\n shutil.copy(filename, bkpFN)\n os.remove(filename)\n slicer.app.processEvents()\n filename = bkpFN\nmrmlFile = codecs.open(filena... | <|body_start_0|>
dicoms = []
compLines = []
if otherReplaceValues:
replaceValues.update(otherReplaceValues)
if filename == newFilename:
bkpFN = filename.split('.')[0] + '.BKP'
shutil.copy(filename, bkpFN)
os.remove(filename)
sli... | MrmlParser handles the parsing of a MRML file (XML-based) and either changes the paths of the remotely linked files to local directories, or to relative directories. | MrmlParser | [
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MrmlParser:
"""MrmlParser handles the parsing of a MRML file (XML-based) and either changes the paths of the remotely linked files to local directories, or to relative directories."""
def changeValues(filename, newFilename, replaceValues, otherReplaceValues, removeOriginalFile=False, debug=T... | stack_v2_sparse_classes_75kplus_train_007916 | 9,290 | permissive | [
{
"docstring": "Changes the string values within a given file based on a provided lists 'replaceValues' and 'otherReplaceValues'.",
"name": "changeValues",
"signature": "def changeValues(filename, newFilename, replaceValues, otherReplaceValues, removeOriginalFile=False, debug=True)"
},
{
"docstr... | 2 | stack_v2_sparse_classes_30k_val_000495 | Implement the Python class `MrmlParser` described below.
Class description:
MrmlParser handles the parsing of a MRML file (XML-based) and either changes the paths of the remotely linked files to local directories, or to relative directories.
Method signatures and docstrings:
- def changeValues(filename, newFilename, ... | Implement the Python class `MrmlParser` described below.
Class description:
MrmlParser handles the parsing of a MRML file (XML-based) and either changes the paths of the remotely linked files to local directories, or to relative directories.
Method signatures and docstrings:
- def changeValues(filename, newFilename, ... | 06867037842e2a074ae5ed3b0bdf4bf016a231a5 | <|skeleton|>
class MrmlParser:
"""MrmlParser handles the parsing of a MRML file (XML-based) and either changes the paths of the remotely linked files to local directories, or to relative directories."""
def changeValues(filename, newFilename, replaceValues, otherReplaceValues, removeOriginalFile=False, debug=T... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MrmlParser:
"""MrmlParser handles the parsing of a MRML file (XML-based) and either changes the paths of the remotely linked files to local directories, or to relative directories."""
def changeValues(filename, newFilename, replaceValues, otherReplaceValues, removeOriginalFile=False, debug=True):
... | the_stack_v2_python_sparse | XNATSlicer/XnatSlicerLib/utils/SlicerUtils.py | NrgXnat/XNATSlicer | train | 4 |
26fc0086323210d04d7c3eb48e1d51c5bbf009bd | [
"spec = importlib.util.spec_from_file_location('setup', str(AEA_ROOT_DIR / 'setup.py'))\nassert spec\nsetup = importlib.util.module_from_spec(spec)\nsys.modules[spec.name] = setup\nspec.loader.exec_module(setup)\nsections_dependencies = copy.deepcopy(setup.all_extras)\nsections_dependencies.pop('all')\nbase = setup... | <|body_start_0|>
spec = importlib.util.spec_from_file_location('setup', str(AEA_ROOT_DIR / 'setup.py'))
assert spec
setup = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = setup
spec.loader.exec_module(setup)
sections_dependencies = copy.deepcopy(setup.all_... | Tool to check imports in sources match dependencies in setup.py. | CheckTool | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckTool:
"""Tool to check imports in sources match dependencies in setup.py."""
def get_section_dependencies_from_setup(cls) -> Dict[str, Dict[str, List[Path]]]:
"""Get sections with dependencies with files lists."""
<|body_0|>
def sections_dependencies_add_files(secti... | stack_v2_sparse_classes_75kplus_train_007917 | 10,606 | permissive | [
{
"docstring": "Get sections with dependencies with files lists.",
"name": "get_section_dependencies_from_setup",
"signature": "def get_section_dependencies_from_setup(cls) -> Dict[str, Dict[str, List[Path]]]"
},
{
"docstring": "Add packages file lists to dependencies in sections.",
"name": ... | 5 | stack_v2_sparse_classes_30k_train_031214 | Implement the Python class `CheckTool` described below.
Class description:
Tool to check imports in sources match dependencies in setup.py.
Method signatures and docstrings:
- def get_section_dependencies_from_setup(cls) -> Dict[str, Dict[str, List[Path]]]: Get sections with dependencies with files lists.
- def secti... | Implement the Python class `CheckTool` described below.
Class description:
Tool to check imports in sources match dependencies in setup.py.
Method signatures and docstrings:
- def get_section_dependencies_from_setup(cls) -> Dict[str, Dict[str, List[Path]]]: Get sections with dependencies with files lists.
- def secti... | bec49adaeba661d8d0f03ac9935dc89f39d95a0d | <|skeleton|>
class CheckTool:
"""Tool to check imports in sources match dependencies in setup.py."""
def get_section_dependencies_from_setup(cls) -> Dict[str, Dict[str, List[Path]]]:
"""Get sections with dependencies with files lists."""
<|body_0|>
def sections_dependencies_add_files(secti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CheckTool:
"""Tool to check imports in sources match dependencies in setup.py."""
def get_section_dependencies_from_setup(cls) -> Dict[str, Dict[str, List[Path]]]:
"""Get sections with dependencies with files lists."""
spec = importlib.util.spec_from_file_location('setup', str(AEA_ROOT_DI... | the_stack_v2_python_sparse | scripts/check_imports_and_dependencies.py | fetchai/agents-aea | train | 192 |
7d596da67bd5973431e3a4e4a99edcba6f78bb2d | [
"instance = parser.add_argument('instance', help='Cloud SQL instance ID.')\ncli = Connect.GetCLIGenerator()\ninstance.completer = remote_completion.RemoteCompletion.GetCompleterForResource('sql.instances', cli)\nparser.add_argument('--user', '-u', required=False, help='Cloud SQL instance user to connect as.')",
"... | <|body_start_0|>
instance = parser.add_argument('instance', help='Cloud SQL instance ID.')
cli = Connect.GetCLIGenerator()
instance.completer = remote_completion.RemoteCompletion.GetCompleterForResource('sql.instances', cli)
parser.add_argument('--user', '-u', required=False, help='Cloud... | Connects to a Cloud SQL instance. | Connect | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Connect:
"""Connects to a Cloud SQL instance."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. Positional arguments are allowe... | stack_v2_sparse_classes_75kplus_train_007918 | 6,959 | permissive | [
{
"docstring": "Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. Positional arguments are allowed.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstri... | 2 | stack_v2_sparse_classes_30k_train_009735 | Implement the Python class `Connect` described below.
Class description:
Connects to a Cloud SQL instance.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command... | Implement the Python class `Connect` described below.
Class description:
Connects to a Cloud SQL instance.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command... | b7f676ab7bd494d71dbb5bda1d6a9094dfaedc0a | <|skeleton|>
class Connect:
"""Connects to a Cloud SQL instance."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. Positional arguments are allowe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Connect:
"""Connects to a Cloud SQL instance."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. Positional arguments are allowed."""
... | the_stack_v2_python_sparse | smry/server-auth/ls/google-cloud-sdk/lib/googlecloudsdk/sql/tools/connect.py | wemanuel/smry | train | 0 |
a52197b59eda44c3b937a925affb83433f628d98 | [
"super().__init__()\nKp = diagonalize_gain(to_tensor(Kp))\nKd = diagonalize_gain(to_tensor(Kd))\nassert Kp.shape == torch.Size([6, 6])\nassert Kd.shape == torch.Size([6, 6])\nself.Kp = torch.nn.Parameter(Kp)\nself.Kd = torch.nn.Parameter(Kd)\nself.robot_model = robot_model",
"ee_pos_current, ee_quat_current = sel... | <|body_start_0|>
super().__init__()
Kp = diagonalize_gain(to_tensor(Kp))
Kd = diagonalize_gain(to_tensor(Kd))
assert Kp.shape == torch.Size([6, 6])
assert Kd.shape == torch.Size([6, 6])
self.Kp = torch.nn.Parameter(Kp)
self.Kd = torch.nn.Parameter(Kd)
self... | PD feedback control in operational space. Errors are computed in Cartesian space, then projected back into joint space to compute joint torques. nA is the action dimension and N is the number of degrees of freedom Module parameters: - Kp: P gain matrix of shape (nA, N) - Kd: D gain matrix of shape (nA, N) | OperationalSpacePD | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OperationalSpacePD:
"""PD feedback control in operational space. Errors are computed in Cartesian space, then projected back into joint space to compute joint torques. nA is the action dimension and N is the number of degrees of freedom Module parameters: - Kp: P gain matrix of shape (nA, N) - Kd... | stack_v2_sparse_classes_75kplus_train_007919 | 9,060 | permissive | [
{
"docstring": "Args: Kp: P gain matrix of shape (nA, N) or shape (N,) representing a N-by-N diagonal matrix (if nA=N) Kd: D gain matrix of shape (nA, N) or shape (N,) representing a N-by-N diagonal matrix (if nA=N) robot_model: A valid robot model module from torchcontrol.models",
"name": "__init__",
"... | 2 | stack_v2_sparse_classes_30k_train_053716 | Implement the Python class `OperationalSpacePD` described below.
Class description:
PD feedback control in operational space. Errors are computed in Cartesian space, then projected back into joint space to compute joint torques. nA is the action dimension and N is the number of degrees of freedom Module parameters: - ... | Implement the Python class `OperationalSpacePD` described below.
Class description:
PD feedback control in operational space. Errors are computed in Cartesian space, then projected back into joint space to compute joint torques. nA is the action dimension and N is the number of degrees of freedom Module parameters: - ... | 1b2ea8528d4fb9ad72cec9c766be4cbdbdf76f18 | <|skeleton|>
class OperationalSpacePD:
"""PD feedback control in operational space. Errors are computed in Cartesian space, then projected back into joint space to compute joint torques. nA is the action dimension and N is the number of degrees of freedom Module parameters: - Kp: P gain matrix of shape (nA, N) - Kd... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OperationalSpacePD:
"""PD feedback control in operational space. Errors are computed in Cartesian space, then projected back into joint space to compute joint torques. nA is the action dimension and N is the number of degrees of freedom Module parameters: - Kp: P gain matrix of shape (nA, N) - Kd: D gain matr... | the_stack_v2_python_sparse | polymetis/python/torchcontrol/modules/feedback.py | facebookresearch/polymetis | train | 44 |
1bcc30a820d7bc38d7387ab645dfa02320fabb37 | [
"self.last_results = []\nself.host = config[CONF_HOST]\nself.username = config[CONF_USERNAME]\nself.password = config[CONF_PASSWORD]\nself.success_init = True\ntry:\n self.fritz_box = FritzHosts(address=self.host, user=self.username, password=self.password)\nexcept (ValueError, TypeError):\n self.fritz_box = ... | <|body_start_0|>
self.last_results = []
self.host = config[CONF_HOST]
self.username = config[CONF_USERNAME]
self.password = config[CONF_PASSWORD]
self.success_init = True
try:
self.fritz_box = FritzHosts(address=self.host, user=self.username, password=self.pas... | This class queries a FRITZ!Box router. | FritzBoxScanner | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FritzBoxScanner:
"""This class queries a FRITZ!Box router."""
def __init__(self, config):
"""Initialize the scanner."""
<|body_0|>
def scan_devices(self):
"""Scan for new devices and return a list of found device ids."""
<|body_1|>
def get_device_nam... | stack_v2_sparse_classes_75kplus_train_007920 | 3,266 | permissive | [
{
"docstring": "Initialize the scanner.",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Scan for new devices and return a list of found device ids.",
"name": "scan_devices",
"signature": "def scan_devices(self)"
},
{
"docstring": "Return the nam... | 5 | stack_v2_sparse_classes_30k_train_030811 | Implement the Python class `FritzBoxScanner` described below.
Class description:
This class queries a FRITZ!Box router.
Method signatures and docstrings:
- def __init__(self, config): Initialize the scanner.
- def scan_devices(self): Scan for new devices and return a list of found device ids.
- def get_device_name(se... | Implement the Python class `FritzBoxScanner` described below.
Class description:
This class queries a FRITZ!Box router.
Method signatures and docstrings:
- def __init__(self, config): Initialize the scanner.
- def scan_devices(self): Scan for new devices and return a list of found device ids.
- def get_device_name(se... | ed4ab403deaed9e8c95e0db728477fcb012bf4fa | <|skeleton|>
class FritzBoxScanner:
"""This class queries a FRITZ!Box router."""
def __init__(self, config):
"""Initialize the scanner."""
<|body_0|>
def scan_devices(self):
"""Scan for new devices and return a list of found device ids."""
<|body_1|>
def get_device_nam... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FritzBoxScanner:
"""This class queries a FRITZ!Box router."""
def __init__(self, config):
"""Initialize the scanner."""
self.last_results = []
self.host = config[CONF_HOST]
self.username = config[CONF_USERNAME]
self.password = config[CONF_PASSWORD]
self.suc... | the_stack_v2_python_sparse | homeassistant/components/fritz/device_tracker.py | tchellomello/home-assistant | train | 8 |
11955f5dff75c8df0908e72a0a0e978d8254355b | [
"coins.sort()\ndp = [1] + [0] * amount\nfor c in coins:\n for i in range(c, amount + 1):\n if dp[i - c]:\n dp[i] += dp[i - c]\nreturn dp[-1]",
"dp = [0] * (amount + 1)\ndp[0] = 1\nfor i in coins:\n for j in range(1, amount + 1):\n if j >= i:\n dp[j] += dp[j - i]\nreturn d... | <|body_start_0|>
coins.sort()
dp = [1] + [0] * amount
for c in coins:
for i in range(c, amount + 1):
if dp[i - c]:
dp[i] += dp[i - c]
return dp[-1]
<|end_body_0|>
<|body_start_1|>
dp = [0] * (amount + 1)
dp[0] = 1
f... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def change(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int beats 93.06%"""
<|body_0|>
def change0(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int https://leetcode.com/problems/coin-change-2/discuss... | stack_v2_sparse_classes_75kplus_train_007921 | 3,013 | no_license | [
{
"docstring": ":type amount: int :type coins: List[int] :rtype: int beats 93.06%",
"name": "change",
"signature": "def change(self, amount, coins)"
},
{
"docstring": ":type amount: int :type coins: List[int] :rtype: int https://leetcode.com/problems/coin-change-2/discuss/99210/python-O(n)-space... | 5 | stack_v2_sparse_classes_30k_train_005185 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def change(self, amount, coins): :type amount: int :type coins: List[int] :rtype: int beats 93.06%
- def change0(self, amount, coins): :type amount: int :type coins: List[int] :r... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def change(self, amount, coins): :type amount: int :type coins: List[int] :rtype: int beats 93.06%
- def change0(self, amount, coins): :type amount: int :type coins: List[int] :r... | 7e0e917c15d3e35f49da3a00ef395bd5ff180d79 | <|skeleton|>
class Solution:
def change(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int beats 93.06%"""
<|body_0|>
def change0(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int https://leetcode.com/problems/coin-change-2/discuss... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def change(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int beats 93.06%"""
coins.sort()
dp = [1] + [0] * amount
for c in coins:
for i in range(c, amount + 1):
if dp[i - c]:
dp[i] += dp[i - c... | the_stack_v2_python_sparse | LeetCode/518_coin_change_2.py | yao23/Machine_Learning_Playground | train | 12 | |
cf9ec76dac9fbe5f467fb8b66415d108fe7eb25e | [
"mes = {'message': 'success'}\nproduct_name = kwargs.get('product_name', '')\nspecification = kwargs.get('specification', '')\nnet_contents = kwargs.get('net_contents', '')\npackage_ratio = kwargs.get('package_ratio', '')\ndb_client = orm_module.get_client()\nw = orm_module.get_write_concern()\ncol = orm_module.get... | <|body_start_0|>
mes = {'message': 'success'}
product_name = kwargs.get('product_name', '')
specification = kwargs.get('specification', '')
net_contents = kwargs.get('net_contents', '')
package_ratio = kwargs.get('package_ratio', '')
db_client = orm_module.get_client()
... | 公司产品信息 | Product | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Product:
"""公司产品信息"""
def add(cls, **kwargs) -> dict:
"""添加产品 :param kwargs: :return:"""
<|body_0|>
def selector_data(cls, filter_dict: dict=None) -> dict:
"""获取产品的选择器 :param filter_dict: 查询字典,None表示查询第一级 :return: 每一级别的查询方式如下: 第一级: None 返回{product_name:_id} 第二级: ... | stack_v2_sparse_classes_75kplus_train_007922 | 27,644 | no_license | [
{
"docstring": "添加产品 :param kwargs: :return:",
"name": "add",
"signature": "def add(cls, **kwargs) -> dict"
},
{
"docstring": "获取产品的选择器 :param filter_dict: 查询字典,None表示查询第一级 :return: 每一级别的查询方式如下: 第一级: None 返回{product_name:_id} 第二级: {\"product_name\": product_name} 返回{specification:_id} 第三级: {\"sp... | 2 | stack_v2_sparse_classes_30k_train_050401 | Implement the Python class `Product` described below.
Class description:
公司产品信息
Method signatures and docstrings:
- def add(cls, **kwargs) -> dict: 添加产品 :param kwargs: :return:
- def selector_data(cls, filter_dict: dict=None) -> dict: 获取产品的选择器 :param filter_dict: 查询字典,None表示查询第一级 :return: 每一级别的查询方式如下: 第一级: None 返回{pr... | Implement the Python class `Product` described below.
Class description:
公司产品信息
Method signatures and docstrings:
- def add(cls, **kwargs) -> dict: 添加产品 :param kwargs: :return:
- def selector_data(cls, filter_dict: dict=None) -> dict: 获取产品的选择器 :param filter_dict: 查询字典,None表示查询第一级 :return: 每一级别的查询方式如下: 第一级: None 返回{pr... | 3a2bdfd1598bfcdfe56386ec0c46fcede772cbfe | <|skeleton|>
class Product:
"""公司产品信息"""
def add(cls, **kwargs) -> dict:
"""添加产品 :param kwargs: :return:"""
<|body_0|>
def selector_data(cls, filter_dict: dict=None) -> dict:
"""获取产品的选择器 :param filter_dict: 查询字典,None表示查询第一级 :return: 每一级别的查询方式如下: 第一级: None 返回{product_name:_id} 第二级: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Product:
"""公司产品信息"""
def add(cls, **kwargs) -> dict:
"""添加产品 :param kwargs: :return:"""
mes = {'message': 'success'}
product_name = kwargs.get('product_name', '')
specification = kwargs.get('specification', '')
net_contents = kwargs.get('net_contents', '')
... | the_stack_v2_python_sparse | query_server/module/system_module.py | SYYDSN/py_projects | train | 0 |
d31134d6d03f1a33bffb33e259ea0347f0e0f75b | [
"HTTPBasicAuthHandler.__init__(self, *args, **kwargs)\nself._tried_login = False\nself._otp_token_method = None\nself._otp_token_attempts = 0\nself._last_otp_token = None",
"otp_header = headers.get(self.OTP_TOKEN_HEADER, '')\nif otp_header and otp_header.startswith('required'):\n try:\n self._otp_token... | <|body_start_0|>
HTTPBasicAuthHandler.__init__(self, *args, **kwargs)
self._tried_login = False
self._otp_token_method = None
self._otp_token_attempts = 0
self._last_otp_token = None
<|end_body_0|>
<|body_start_1|>
otp_header = headers.get(self.OTP_TOKEN_HEADER, '')
... | Custom Basic Auth handler that doesn't retry excessively. urllib's HTTPBasicAuthHandler retries over and over, which is useless. This subclass only retries once to make sure we've attempted with a valid username and password. It will then fail so we can use our own retry handler. This also supports two-factor auth, for... | ReviewBoardHTTPBasicAuthHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReviewBoardHTTPBasicAuthHandler:
"""Custom Basic Auth handler that doesn't retry excessively. urllib's HTTPBasicAuthHandler retries over and over, which is useless. This subclass only retries once to make sure we've attempted with a valid username and password. It will then fail so we can use our... | stack_v2_sparse_classes_75kplus_train_007923 | 29,345 | permissive | [
{
"docstring": "Initialize the Basic Auth handler. Args: *args (tuple): Positional arguments to pass to the parent class. **kwargs (dict): Keyword arguments to pass to the parent class.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Handle an HTTP 401... | 3 | stack_v2_sparse_classes_30k_val_002310 | Implement the Python class `ReviewBoardHTTPBasicAuthHandler` described below.
Class description:
Custom Basic Auth handler that doesn't retry excessively. urllib's HTTPBasicAuthHandler retries over and over, which is useless. This subclass only retries once to make sure we've attempted with a valid username and passwo... | Implement the Python class `ReviewBoardHTTPBasicAuthHandler` described below.
Class description:
Custom Basic Auth handler that doesn't retry excessively. urllib's HTTPBasicAuthHandler retries over and over, which is useless. This subclass only retries once to make sure we've attempted with a valid username and passwo... | b106c84c274c59f7944ba5bf7706d865c78a3408 | <|skeleton|>
class ReviewBoardHTTPBasicAuthHandler:
"""Custom Basic Auth handler that doesn't retry excessively. urllib's HTTPBasicAuthHandler retries over and over, which is useless. This subclass only retries once to make sure we've attempted with a valid username and password. It will then fail so we can use our... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReviewBoardHTTPBasicAuthHandler:
"""Custom Basic Auth handler that doesn't retry excessively. urllib's HTTPBasicAuthHandler retries over and over, which is useless. This subclass only retries once to make sure we've attempted with a valid username and password. It will then fail so we can use our own retry ha... | the_stack_v2_python_sparse | rbtools/api/request.py | anirudha-banerjee/rbtools | train | 1 |
f949fc333ddf0261a6ebdea764012c8f43904cb1 | [
"if not root:\n return []\nq = deque()\nq.append(root)\nserial = []\nwhile len(q) != 0:\n node = q.popleft()\n if node:\n serial.append(node.val)\n q.append(node.left)\n q.append(node.right)\n else:\n serial.append(None)\nwhile serial[-1] == None:\n serial.pop()\nreturn se... | <|body_start_0|>
if not root:
return []
q = deque()
q.append(root)
serial = []
while len(q) != 0:
node = q.popleft()
if node:
serial.append(node.val)
q.append(node.left)
q.append(node.right)
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
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|>
<|body_... | stack_v2_sparse_classes_75kplus_train_007924 | 2,370 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_000618 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 1f7af97bf2e42fc1fe87f31bf0af159dc76486fa | <|skeleton|>
class Codec:
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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return []
q = deque()
q.append(root)
serial = []
while len(q) != 0:
node = q.popleft()
if node:
... | the_stack_v2_python_sparse | 数据结构/二叉树的序列化和反序列化.py | zhangler1/leetcodepractice | train | 2 | |
bb564f6309a38947826166466425d37f98ffaa2d | [
"params = {'airport': 'EGKK', 'howMany': 15, 'filter': 'airline', 'offset': 15}\nclient = FlightClient()\nclient.get_live_request('Enroute', params)",
"params = {'airport': 'EGKK', 'howMany': 15, 'filter': 'airline', 'offset': 15}\nclient = FlightClient()\nclient.get_live_request('Arrived', params)",
"params = ... | <|body_start_0|>
params = {'airport': 'EGKK', 'howMany': 15, 'filter': 'airline', 'offset': 15}
client = FlightClient()
client.get_live_request('Enroute', params)
<|end_body_0|>
<|body_start_1|>
params = {'airport': 'EGKK', 'howMany': 15, 'filter': 'airline', 'offset': 15}
clien... | def test_json_client_makes_a_test_enroute_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def test_json_client_makes_a_test_data_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def tes... | FlightClientTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlightClientTest:
"""def test_json_client_makes_a_test_enroute_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def test_json_client_makes_a_test_data_request(self): client = FlightClient() client.get_test_request('Enroute') self.... | stack_v2_sparse_classes_75kplus_train_007925 | 4,252 | no_license | [
{
"docstring": "Request data is obtained from file server. Use with caution to avoid unnecessary costs.",
"name": "test_json_client_makes_a_live_enroute_request",
"signature": "def test_json_client_makes_a_live_enroute_request(self)"
},
{
"docstring": "Request data is obtained from file server. ... | 4 | null | Implement the Python class `FlightClientTest` described below.
Class description:
def test_json_client_makes_a_test_enroute_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def test_json_client_makes_a_test_data_request(self): client = FlightClient() c... | Implement the Python class `FlightClientTest` described below.
Class description:
def test_json_client_makes_a_test_enroute_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def test_json_client_makes_a_test_data_request(self): client = FlightClient() c... | b1eb31e8915040ecd1220302f84e2f7319419e97 | <|skeleton|>
class FlightClientTest:
"""def test_json_client_makes_a_test_enroute_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def test_json_client_makes_a_test_data_request(self): client = FlightClient() client.get_test_request('Enroute') self.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlightClientTest:
"""def test_json_client_makes_a_test_enroute_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(len(client.request), 15) def test_json_client_makes_a_test_data_request(self): client = FlightClient() client.get_test_request('Enroute') self.assertEqual(l... | the_stack_v2_python_sparse | flights/data/tests.py | dave-caputo/flights-app | train | 0 |
50c2974d7e18fdb0f8b7c577f03c79e9bcf642ad | [
"inferred_data = json.loads(self.request.body)\nraw_data = model.RRCInferenceRawData()\nraw_data.phone_id = util.HashDeviceId(str(inferred_data['phone_id']))\nraw_data.test_id = inferred_data['test_id']\nraw_data.network_type = inferred_data['network_type']\nraw_data.rtt_low = inferred_data['rtt_low']\nraw_data.rtt... | <|body_start_0|>
inferred_data = json.loads(self.request.body)
raw_data = model.RRCInferenceRawData()
raw_data.phone_id = util.HashDeviceId(str(inferred_data['phone_id']))
raw_data.test_id = inferred_data['test_id']
raw_data.network_type = inferred_data['network_type']
ra... | Interact with RRC-related data stored in the database | RRCStates | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RRCStates:
"""Interact with RRC-related data stored in the database"""
def uploadRRCInference(self, **unused_args):
"""Handler for uploadRRCInference request generated from client. Take the results of the RRC inference tasks and store them in the database. Note that this is the resul... | stack_v2_sparse_classes_75kplus_train_007926 | 4,420 | permissive | [
{
"docstring": "Handler for uploadRRCInference request generated from client. Take the results of the RRC inference tasks and store them in the database. Note that this is the result of *one* test, i.e. one sequence of three packets sent. A set of tests with varying inter-packet intervals can be identified by a... | 2 | stack_v2_sparse_classes_30k_train_043024 | Implement the Python class `RRCStates` described below.
Class description:
Interact with RRC-related data stored in the database
Method signatures and docstrings:
- def uploadRRCInference(self, **unused_args): Handler for uploadRRCInference request generated from client. Take the results of the RRC inference tasks an... | Implement the Python class `RRCStates` described below.
Class description:
Interact with RRC-related data stored in the database
Method signatures and docstrings:
- def uploadRRCInference(self, **unused_args): Handler for uploadRRCInference request generated from client. Take the results of the RRC inference tasks an... | 9277f9e0623eafe9a2f2cd387f3a2f0dfa9b94ba | <|skeleton|>
class RRCStates:
"""Interact with RRC-related data stored in the database"""
def uploadRRCInference(self, **unused_args):
"""Handler for uploadRRCInference request generated from client. Take the results of the RRC inference tasks and store them in the database. Note that this is the resul... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RRCStates:
"""Interact with RRC-related data stored in the database"""
def uploadRRCInference(self, **unused_args):
"""Handler for uploadRRCInference request generated from client. Take the results of the RRC inference tasks and store them in the database. Note that this is the result of *one* te... | the_stack_v2_python_sparse | server/gspeedometer/controllers/RRCstates.py | Bugbustrs/bugb-mobiperf | train | 0 |
11d7ad0146b63656733bc07d42cab8febb365031 | [
"super().__init__()\nout_channels = channels * self.expansion\nif cardinality == 1:\n rc = channels\nelse:\n width_ratio = channels * (width / self.start_filts)\n rc = cardinality * math.floor(width_ratio)\nself.conv_reduce = ConvNd(n_dim, in_channels, rc, kernel_size=1, stride=1, padding=0, bias=False)\ns... | <|body_start_0|>
super().__init__()
out_channels = channels * self.expansion
if cardinality == 1:
rc = channels
else:
width_ratio = channels * (width / self.start_filts)
rc = cardinality * math.floor(width_ratio)
self.conv_reduce = ConvNd(n_dim... | _BottleneckX | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _BottleneckX:
def __init__(self, in_channels: int, channels: int, stride: Union[int, Sequence[int]], cardinality: int, width: int, n_dim: int, norm_layer: str):
"""Parameters ---------- in_channels : int number of input channels stride : int stride of 3x3 convolution layer cardinality : ... | stack_v2_sparse_classes_75kplus_train_007927 | 12,047 | permissive | [
{
"docstring": "Parameters ---------- in_channels : int number of input channels stride : int stride of 3x3 convolution layer cardinality : int number of convolution groups width : int width of resnext block n_dim : int dimensionality of convolutions norm_layer: str type of normalization layer",
"name": "__... | 2 | stack_v2_sparse_classes_30k_train_045255 | Implement the Python class `_BottleneckX` described below.
Class description:
Implement the _BottleneckX class.
Method signatures and docstrings:
- def __init__(self, in_channels: int, channels: int, stride: Union[int, Sequence[int]], cardinality: int, width: int, n_dim: int, norm_layer: str): Parameters ---------- i... | Implement the Python class `_BottleneckX` described below.
Class description:
Implement the _BottleneckX class.
Method signatures and docstrings:
- def __init__(self, in_channels: int, channels: int, stride: Union[int, Sequence[int]], cardinality: int, width: int, n_dim: int, norm_layer: str): Parameters ---------- i... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class _BottleneckX:
def __init__(self, in_channels: int, channels: int, stride: Union[int, Sequence[int]], cardinality: int, width: int, n_dim: int, norm_layer: str):
"""Parameters ---------- in_channels : int number of input channels stride : int stride of 3x3 convolution layer cardinality : ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _BottleneckX:
def __init__(self, in_channels: int, channels: int, stride: Union[int, Sequence[int]], cardinality: int, width: int, n_dim: int, norm_layer: str):
"""Parameters ---------- in_channels : int number of input channels stride : int stride of 3x3 convolution layer cardinality : int number of ... | the_stack_v2_python_sparse | dlutils/models/resnext.py | justusschock/dl-utils | train | 15 | |
437ca40fffb85b10b39af2d4bceceec0b99a41b5 | [
"threading.Thread.__init__(self)\nself.opc_client = Client('opc.tcp://10.0.0.57:4048')\nself.opc_client.connect()\nself.initiate_nodes()",
"self.temp_value = self.opc_client.get_node('ns=2; s=\"Room_Temperature\"')\nself.hum_value = self.opc_client.get_node('ns=2; s=\"Room_Humidity\"')\nself.flux_value = self.opc... | <|body_start_0|>
threading.Thread.__init__(self)
self.opc_client = Client('opc.tcp://10.0.0.57:4048')
self.opc_client.connect()
self.initiate_nodes()
<|end_body_0|>
<|body_start_1|>
self.temp_value = self.opc_client.get_node('ns=2; s="Room_Temperature"')
self.hum_value =... | OPC_Client_Rpi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OPC_Client_Rpi:
def __init__(self):
"""* Module constructor function that connects OPC client at Raspberry pi with OPC Server"""
<|body_0|>
def initiate_nodes(self):
"""* Connecting with nodes created at OPC Server for continuous data exchange"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_007928 | 2,354 | no_license | [
{
"docstring": "* Module constructor function that connects OPC client at Raspberry pi with OPC Server",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "* Connecting with nodes created at OPC Server for continuous data exchange",
"name": "initiate_nodes",
"signat... | 3 | stack_v2_sparse_classes_30k_train_047310 | Implement the Python class `OPC_Client_Rpi` described below.
Class description:
Implement the OPC_Client_Rpi class.
Method signatures and docstrings:
- def __init__(self): * Module constructor function that connects OPC client at Raspberry pi with OPC Server
- def initiate_nodes(self): * Connecting with nodes created... | Implement the Python class `OPC_Client_Rpi` described below.
Class description:
Implement the OPC_Client_Rpi class.
Method signatures and docstrings:
- def __init__(self): * Module constructor function that connects OPC client at Raspberry pi with OPC Server
- def initiate_nodes(self): * Connecting with nodes created... | f704b53b7db099f7dffb9d6df05468a28e56d332 | <|skeleton|>
class OPC_Client_Rpi:
def __init__(self):
"""* Module constructor function that connects OPC client at Raspberry pi with OPC Server"""
<|body_0|>
def initiate_nodes(self):
"""* Connecting with nodes created at OPC Server for continuous data exchange"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OPC_Client_Rpi:
def __init__(self):
"""* Module constructor function that connects OPC client at Raspberry pi with OPC Server"""
threading.Thread.__init__(self)
self.opc_client = Client('opc.tcp://10.0.0.57:4048')
self.opc_client.connect()
self.initiate_nodes()
def... | the_stack_v2_python_sparse | module09/OPC_Client_Rpi.py | naveenORT/Remote-Electrical-Substation-Monitoring | train | 0 | |
f722550f336ff81adaf66fadbd5b8bd4b6a0d5d6 | [
"blog = self.client.get(reverse('blog:list'))\nself.assertEqual(blog.status_code, 200)\nself.assertContains(blog, 'No posts have been written yet!')\nself.assertQuerysetEqual(blog.context['posts'], [])",
"draft_post = create_post(title='Draft Post', text='This is a draft post', days=None, status='D')\nblog = self... | <|body_start_0|>
blog = self.client.get(reverse('blog:list'))
self.assertEqual(blog.status_code, 200)
self.assertContains(blog, 'No posts have been written yet!')
self.assertQuerysetEqual(blog.context['posts'], [])
<|end_body_0|>
<|body_start_1|>
draft_post = create_post(title='... | PostIndexViewTests | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostIndexViewTests:
def test_no_posts(self):
"""If no posts exist, display an appropriate message"""
<|body_0|>
def test_draft_post(self):
"""If a post is a draft, it shouldn't appear in the post list and the slug should be a 404"""
<|body_1|>
def test_u... | stack_v2_sparse_classes_75kplus_train_007929 | 4,107 | permissive | [
{
"docstring": "If no posts exist, display an appropriate message",
"name": "test_no_posts",
"signature": "def test_no_posts(self)"
},
{
"docstring": "If a post is a draft, it shouldn't appear in the post list and the slug should be a 404",
"name": "test_draft_post",
"signature": "def te... | 6 | stack_v2_sparse_classes_30k_train_004744 | Implement the Python class `PostIndexViewTests` described below.
Class description:
Implement the PostIndexViewTests class.
Method signatures and docstrings:
- def test_no_posts(self): If no posts exist, display an appropriate message
- def test_draft_post(self): If a post is a draft, it shouldn't appear in the post ... | Implement the Python class `PostIndexViewTests` described below.
Class description:
Implement the PostIndexViewTests class.
Method signatures and docstrings:
- def test_no_posts(self): If no posts exist, display an appropriate message
- def test_draft_post(self): If a post is a draft, it shouldn't appear in the post ... | 33287005d19287f2851837e38bca974b4e6682bd | <|skeleton|>
class PostIndexViewTests:
def test_no_posts(self):
"""If no posts exist, display an appropriate message"""
<|body_0|>
def test_draft_post(self):
"""If a post is a draft, it shouldn't appear in the post list and the slug should be a 404"""
<|body_1|>
def test_u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PostIndexViewTests:
def test_no_posts(self):
"""If no posts exist, display an appropriate message"""
blog = self.client.get(reverse('blog:list'))
self.assertEqual(blog.status_code, 200)
self.assertContains(blog, 'No posts have been written yet!')
self.assertQuerysetEqua... | the_stack_v2_python_sparse | site/blog/tests.py | marcus-crane/site | train | 2 | |
5c82cb99e568a7365b0748d3930c8d7e30083d7d | [
"if not A:\n return []\nresult = list(A[0])\nfor colum in A[1:]:\n current = []\n for c in colum:\n if c in result:\n current.append(c)\n result.remove(c)\n result = current\nreturn result",
"if not A:\n return []\ndata = {}\nfor d in A[0]:\n data[d] = data.get(d, 0)... | <|body_start_0|>
if not A:
return []
result = list(A[0])
for colum in A[1:]:
current = []
for c in colum:
if c in result:
current.append(c)
result.remove(c)
result = current
return res... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _commonChars(self, A):
""":type A: List[str] :rtype: List[str]"""
<|body_0|>
def commonChars(self, A):
""":type A: List[str] :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not A:
return []
resu... | stack_v2_sparse_classes_75kplus_train_007930 | 1,982 | permissive | [
{
"docstring": ":type A: List[str] :rtype: List[str]",
"name": "_commonChars",
"signature": "def _commonChars(self, A)"
},
{
"docstring": ":type A: List[str] :rtype: List[str]",
"name": "commonChars",
"signature": "def commonChars(self, A)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000689 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _commonChars(self, A): :type A: List[str] :rtype: List[str]
- def commonChars(self, A): :type A: List[str] :rtype: List[str] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _commonChars(self, A): :type A: List[str] :rtype: List[str]
- def commonChars(self, A): :type A: List[str] :rtype: List[str]
<|skeleton|>
class Solution:
def _commonCha... | 0dd67edca4e0b0323cb5a7239f02ea46383cd15a | <|skeleton|>
class Solution:
def _commonChars(self, A):
""":type A: List[str] :rtype: List[str]"""
<|body_0|>
def commonChars(self, A):
""":type A: List[str] :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def _commonChars(self, A):
""":type A: List[str] :rtype: List[str]"""
if not A:
return []
result = list(A[0])
for colum in A[1:]:
current = []
for c in colum:
if c in result:
current.append(c)
... | the_stack_v2_python_sparse | 1002.find-common-characters.py | windard/leeeeee | train | 0 | |
e06e64d3d73e5503ee8a4e3abfda8784b1a6cf27 | [
"url = host + '/api/mart/find'\ndata = {'id': kp_id}\nr = requests.get(url=url, data=data).json()\nout_format('砍价详情:', r)\nreturn r",
"url = host + '/api/mart/join'\ndata = {'id': kp_id}\nr = requests.get(url=url, headers=header, params=data).json()\nout_format('参与此砍价活动:', r)\nreturn r",
"url = host + '/api/mar... | <|body_start_0|>
url = host + '/api/mart/find'
data = {'id': kp_id}
r = requests.get(url=url, data=data).json()
out_format('砍价详情:', r)
return r
<|end_body_0|>
<|body_start_1|>
url = host + '/api/mart/join'
data = {'id': kp_id}
r = requests.get(url=url, he... | 定义一个砍价的测试类 | Bargain | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bargain:
"""定义一个砍价的测试类"""
def mart_details(self):
"""砍价详情"""
<|body_0|>
def join(self):
"""参与此砍价活动 :param:id:产品id :param:uid:当前用户id(已封装到头部header_s文件的header中)"""
<|body_1|>
def who_list(self):
"""我的砍价列表 :param:uid:当前用户ID，（此处直接传UID即可，暂不用TOKEN，没... | stack_v2_sparse_classes_75kplus_train_007931 | 3,122 | no_license | [
{
"docstring": "砍价详情",
"name": "mart_details",
"signature": "def mart_details(self)"
},
{
"docstring": "参与此砍价活动 :param:id:产品id :param:uid:当前用户id(已封装到头部header_s文件的header中)",
"name": "join",
"signature": "def join(self)"
},
{
"docstring": "我的砍价列表 :param:uid:当前用户ID，（此处直接传UID即可，暂不用TO... | 5 | null | Implement the Python class `Bargain` described below.
Class description:
定义一个砍价的测试类
Method signatures and docstrings:
- def mart_details(self): 砍价详情
- def join(self): 参与此砍价活动 :param:id:产品id :param:uid:当前用户id(已封装到头部header_s文件的header中)
- def who_list(self): 我的砍价列表 :param:uid:当前用户ID，（此处直接传UID即可，暂不用TOKEN，没有重要数据，无关紧要） :pa... | Implement the Python class `Bargain` described below.
Class description:
定义一个砍价的测试类
Method signatures and docstrings:
- def mart_details(self): 砍价详情
- def join(self): 参与此砍价活动 :param:id:产品id :param:uid:当前用户id(已封装到头部header_s文件的header中)
- def who_list(self): 我的砍价列表 :param:uid:当前用户ID，（此处直接传UID即可，暂不用TOKEN，没有重要数据，无关紧要） :pa... | 0ebaae335de2f1633e31c4fc3f60e556220a8bfb | <|skeleton|>
class Bargain:
"""定义一个砍价的测试类"""
def mart_details(self):
"""砍价详情"""
<|body_0|>
def join(self):
"""参与此砍价活动 :param:id:产品id :param:uid:当前用户id(已封装到头部header_s文件的header中)"""
<|body_1|>
def who_list(self):
"""我的砍价列表 :param:uid:当前用户ID，（此处直接传UID即可，暂不用TOKEN，没... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bargain:
"""定义一个砍价的测试类"""
def mart_details(self):
"""砍价详情"""
url = host + '/api/mart/find'
data = {'id': kp_id}
r = requests.get(url=url, data=data).json()
out_format('砍价详情:', r)
return r
def join(self):
"""参与此砍价活动 :param:id:产品id :param:uid:当前用... | the_stack_v2_python_sparse | Atle/interface/framework/base/bargain.py | shiqi0128/My_scripts | train | 0 |
5dae4251d4c02a798880f85493ba9593ea1f4a96 | [
"self.lst = head\nself.length = 0\nwhile head != None:\n self.length, head = (self.length + 1, head.next)",
"pos = random.randint(0, self.length - 1)\nnew_head = self.lst\nwhile pos > 0:\n new_head, pos = (new_head.next, pos - 1)\nreturn new_head.val"
] | <|body_start_0|>
self.lst = head
self.length = 0
while head != None:
self.length, head = (self.length + 1, head.next)
<|end_body_0|>
<|body_start_1|>
pos = random.randint(0, self.length - 1)
new_head = self.lst
while pos > 0:
new_head, pos = (new_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, head):
"""@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode"""
<|body_0|>
def getRandom(self):
"""Returns a random node's value. :rtype: int"""
... | stack_v2_sparse_classes_75kplus_train_007932 | 930 | no_license | [
{
"docstring": "@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode",
"name": "__init__",
"signature": "def __init__(self, head)"
},
{
"docstring": "Returns a random node's value. :rtype: int",
"name": "g... | 2 | stack_v2_sparse_classes_30k_train_026983 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, head): @param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode
- def getRan... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, head): @param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode
- def getRan... | 2418b3eed1ab85cfd9cac039c6cfdc1a349ad345 | <|skeleton|>
class Solution:
def __init__(self, head):
"""@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode"""
<|body_0|>
def getRandom(self):
"""Returns a random node's value. :rtype: int"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def __init__(self, head):
"""@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node. :type head: ListNode"""
self.lst = head
self.length = 0
while head != None:
self.length, head = (self.length... | the_stack_v2_python_sparse | leetcode-first_time/leetcode382(Linked List Random Node)_random.py | HopeCheung/leetcode | train | 0 | |
a6baefee293177b5f32bb3be0ade3a0113d477b4 | [
"p = self.codomain().base_ring().order()\nN = self.codomain().ambient_space().dimension_relative()\nreturn sum((hash(self[i]) * p ** i for i in range(N)))",
"Orbit = []\nindex = 1\nP = self\nwhile not P in Orbit:\n Orbit.append(P)\n P = f(P)\n index += 1\nI = Orbit.index(P)\nreturn [I, index - I - 1]"
] | <|body_start_0|>
p = self.codomain().base_ring().order()
N = self.codomain().ambient_space().dimension_relative()
return sum((hash(self[i]) * p ** i for i in range(N)))
<|end_body_0|>
<|body_start_1|>
Orbit = []
index = 1
P = self
while not P in Orbit:
... | SchemeMorphism_point_affine_finite_field | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SchemeMorphism_point_affine_finite_field:
def __hash__(self):
"""Returns the integer hash of the point. OUTPUT: Integer. EXAMPLES:: sage: P.<x,y,z> = AffineSpace(GF(5), 3) sage: hash(P(2, 1, 2)) 57 :: sage: P.<x,y,z> = AffineSpace(GF(7), 3) sage: X = P.subscheme(x^2-y^2) sage: hash(X(1, ... | stack_v2_sparse_classes_75kplus_train_007933 | 15,505 | no_license | [
{
"docstring": "Returns the integer hash of the point. OUTPUT: Integer. EXAMPLES:: sage: P.<x,y,z> = AffineSpace(GF(5), 3) sage: hash(P(2, 1, 2)) 57 :: sage: P.<x,y,z> = AffineSpace(GF(7), 3) sage: X = P.subscheme(x^2-y^2) sage: hash(X(1, 1, 2)) 106 :: sage: P.<x,y> = AffineSpace(GF(13), 2) sage: hash(P(3, 4)) ... | 2 | stack_v2_sparse_classes_30k_train_016723 | Implement the Python class `SchemeMorphism_point_affine_finite_field` described below.
Class description:
Implement the SchemeMorphism_point_affine_finite_field class.
Method signatures and docstrings:
- def __hash__(self): Returns the integer hash of the point. OUTPUT: Integer. EXAMPLES:: sage: P.<x,y,z> = AffineSpa... | Implement the Python class `SchemeMorphism_point_affine_finite_field` described below.
Class description:
Implement the SchemeMorphism_point_affine_finite_field class.
Method signatures and docstrings:
- def __hash__(self): Returns the integer hash of the point. OUTPUT: Integer. EXAMPLES:: sage: P.<x,y,z> = AffineSpa... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class SchemeMorphism_point_affine_finite_field:
def __hash__(self):
"""Returns the integer hash of the point. OUTPUT: Integer. EXAMPLES:: sage: P.<x,y,z> = AffineSpace(GF(5), 3) sage: hash(P(2, 1, 2)) 57 :: sage: P.<x,y,z> = AffineSpace(GF(7), 3) sage: X = P.subscheme(x^2-y^2) sage: hash(X(1, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SchemeMorphism_point_affine_finite_field:
def __hash__(self):
"""Returns the integer hash of the point. OUTPUT: Integer. EXAMPLES:: sage: P.<x,y,z> = AffineSpace(GF(5), 3) sage: hash(P(2, 1, 2)) 57 :: sage: P.<x,y,z> = AffineSpace(GF(7), 3) sage: X = P.subscheme(x^2-y^2) sage: hash(X(1, 1, 2)) 106 :: ... | the_stack_v2_python_sparse | sage/src/sage/schemes/affine/affine_point.py | bopopescu/geosci | train | 0 | |
0b492b71a35ba32da19b45acf5f03baec3023ec3 | [
"super().__init__(game, x, y, 'SPEEDUP')\nself.picker = None\nself.picked_at = 0\nself.picker_speed = 0\nself.picker_max_speed = 0",
"self.item_group.remove(self)\nself.rect = pygame.Rect(-1000, -1000, 0, 0)\nspeed_up = ITEMS['SPEEDUP']['SPEED']\nself.picker = picker\nself.picker_speed = picker.speed\nself.picker... | <|body_start_0|>
super().__init__(game, x, y, 'SPEEDUP')
self.picker = None
self.picked_at = 0
self.picker_speed = 0
self.picker_max_speed = 0
<|end_body_0|>
<|body_start_1|>
self.item_group.remove(self)
self.rect = pygame.Rect(-1000, -1000, 0, 0)
speed_u... | SpeedUp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpeedUp:
def __init__(self, game, x, y):
"""Speed up increases player's speed for a few seconds, then returns it back to regular speed, so it needs to store original values and when it was picked"""
<|body_0|>
def picked_by(self, picker):
"""Once picked we remove fro... | stack_v2_sparse_classes_75kplus_train_007934 | 10,333 | no_license | [
{
"docstring": "Speed up increases player's speed for a few seconds, then returns it back to regular speed, so it needs to store original values and when it was picked",
"name": "__init__",
"signature": "def __init__(self, game, x, y)"
},
{
"docstring": "Once picked we remove from items group - ... | 3 | stack_v2_sparse_classes_30k_train_004792 | Implement the Python class `SpeedUp` described below.
Class description:
Implement the SpeedUp class.
Method signatures and docstrings:
- def __init__(self, game, x, y): Speed up increases player's speed for a few seconds, then returns it back to regular speed, so it needs to store original values and when it was pic... | Implement the Python class `SpeedUp` described below.
Class description:
Implement the SpeedUp class.
Method signatures and docstrings:
- def __init__(self, game, x, y): Speed up increases player's speed for a few seconds, then returns it back to regular speed, so it needs to store original values and when it was pic... | 349367254f85e3e4273cede067ca950913a1332c | <|skeleton|>
class SpeedUp:
def __init__(self, game, x, y):
"""Speed up increases player's speed for a few seconds, then returns it back to regular speed, so it needs to store original values and when it was picked"""
<|body_0|>
def picked_by(self, picker):
"""Once picked we remove fro... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpeedUp:
def __init__(self, game, x, y):
"""Speed up increases player's speed for a few seconds, then returns it back to regular speed, so it needs to store original values and when it was picked"""
super().__init__(game, x, y, 'SPEEDUP')
self.picker = None
self.picked_at = 0
... | the_stack_v2_python_sparse | 11-videogames/Referencia/11-Items/sprites.py | pythoncanarias/eoi | train | 26 | |
34bd14745ee405713abcf63a74837d4c52a05538 | [
"if not email_messages:\n return\nself._lock.acquire()\ntry:\n try:\n stream_created = self.open()\n for message in email_messages:\n self.stream.write(message.body.encode('utf-8'))\n self.stream.flush()\n if stream_created:\n self.close()\n except:\n ... | <|body_start_0|>
if not email_messages:
return
self._lock.acquire()
try:
try:
stream_created = self.open()
for message in email_messages:
self.stream.write(message.body.encode('utf-8'))
self.stream.fl... | EmailBackend | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailBackend:
def send_messages(self, email_messages):
"""Write all messages to the stream in a thread-safe way."""
<|body_0|>
def _get_filename(self):
"""Return a unique file name."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not email_messag... | stack_v2_sparse_classes_75kplus_train_007935 | 1,336 | no_license | [
{
"docstring": "Write all messages to the stream in a thread-safe way.",
"name": "send_messages",
"signature": "def send_messages(self, email_messages)"
},
{
"docstring": "Return a unique file name.",
"name": "_get_filename",
"signature": "def _get_filename(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_031589 | Implement the Python class `EmailBackend` described below.
Class description:
Implement the EmailBackend class.
Method signatures and docstrings:
- def send_messages(self, email_messages): Write all messages to the stream in a thread-safe way.
- def _get_filename(self): Return a unique file name. | Implement the Python class `EmailBackend` described below.
Class description:
Implement the EmailBackend class.
Method signatures and docstrings:
- def send_messages(self, email_messages): Write all messages to the stream in a thread-safe way.
- def _get_filename(self): Return a unique file name.
<|skeleton|>
class ... | 7c3acc39a24c38ae2ee06b71104a24cfbbde8453 | <|skeleton|>
class EmailBackend:
def send_messages(self, email_messages):
"""Write all messages to the stream in a thread-safe way."""
<|body_0|>
def _get_filename(self):
"""Return a unique file name."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailBackend:
def send_messages(self, email_messages):
"""Write all messages to the stream in a thread-safe way."""
if not email_messages:
return
self._lock.acquire()
try:
try:
stream_created = self.open()
for message in e... | the_stack_v2_python_sparse | project/utils/mail/backends/htmlfiles.py | chrisblythe812/gamemine | train | 1 | |
b3abd0e7231c934c8b477173808c06c117ba3493 | [
"if type(num_nodes) is int:\n max_d = 15\n nnodes = num_nodes\nelse:\n if type(num_nodes) is not tuple:\n raise ParameterError('Expecting int or tuple for num_nodes parameter, got %s' % type(num_nodes))\n if len(num_nodes) != 2:\n raise ParameterError('Expecting 1 or 2 arguments for num_no... | <|body_start_0|>
if type(num_nodes) is int:
max_d = 15
nnodes = num_nodes
else:
if type(num_nodes) is not tuple:
raise ParameterError('Expecting int or tuple for num_nodes parameter, got %s' % type(num_nodes))
if len(num_nodes) != 2:
... | Implements equidistant nodes with blended barycentric interpolation Attributes: fh_weights: blended FH weights for barycentric interpolation | Equidistant_RDC | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Equidistant_RDC:
"""Implements equidistant nodes with blended barycentric interpolation Attributes: fh_weights: blended FH weights for barycentric interpolation"""
def __init__(self, num_nodes, tleft=0, tright=1, **kwargs):
"""Initialization Args: num_nodes: number of nodes tleft (fl... | stack_v2_sparse_classes_75kplus_train_007936 | 5,629 | permissive | [
{
"docstring": "Initialization Args: num_nodes: number of nodes tleft (float): left interval boundary (usually 0) tright (float): right interval boundary (usually 1)",
"name": "__init__",
"signature": "def __init__(self, num_nodes, tleft=0, tright=1, **kwargs)"
},
{
"docstring": "Computes blende... | 4 | stack_v2_sparse_classes_30k_train_049720 | Implement the Python class `Equidistant_RDC` described below.
Class description:
Implements equidistant nodes with blended barycentric interpolation Attributes: fh_weights: blended FH weights for barycentric interpolation
Method signatures and docstrings:
- def __init__(self, num_nodes, tleft=0, tright=1, **kwargs): ... | Implement the Python class `Equidistant_RDC` described below.
Class description:
Implements equidistant nodes with blended barycentric interpolation Attributes: fh_weights: blended FH weights for barycentric interpolation
Method signatures and docstrings:
- def __init__(self, num_nodes, tleft=0, tright=1, **kwargs): ... | 1a51834bedffd4472e344bed28f4d766614b1537 | <|skeleton|>
class Equidistant_RDC:
"""Implements equidistant nodes with blended barycentric interpolation Attributes: fh_weights: blended FH weights for barycentric interpolation"""
def __init__(self, num_nodes, tleft=0, tright=1, **kwargs):
"""Initialization Args: num_nodes: number of nodes tleft (fl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Equidistant_RDC:
"""Implements equidistant nodes with blended barycentric interpolation Attributes: fh_weights: blended FH weights for barycentric interpolation"""
def __init__(self, num_nodes, tleft=0, tright=1, **kwargs):
"""Initialization Args: num_nodes: number of nodes tleft (float): left in... | the_stack_v2_python_sparse | pySDC/projects/RDC/equidistant_RDC.py | Parallel-in-Time/pySDC | train | 30 |
f567fc172ecb924bb312a1fb3f96e181706792fe | [
"super().__init__()\ncovmat_sqrt = cp.Parameter((n_assets, n_assets))\nrets = cp.Parameter(n_assets)\nalpha = cp.Parameter(nonneg=True)\nw = cp.Variable(n_assets)\nret = rets @ w\nrisk = cp.sum_squares(covmat_sqrt @ w)\nreg = alpha * cp.norm(w) ** 2\nprob = cp.Problem(cp.Maximize(ret - risk - reg), [cp.sum(w) == 1,... | <|body_start_0|>
super().__init__()
covmat_sqrt = cp.Parameter((n_assets, n_assets))
rets = cp.Parameter(n_assets)
alpha = cp.Parameter(nonneg=True)
w = cp.Variable(n_assets)
ret = rets @ w
risk = cp.sum_squares(covmat_sqrt @ w)
reg = alpha * cp.norm(w) **... | Convex optimization layer stylized into portfolio optimization problem. Parameters ---------- n_assets : int Number of assets. Attributes ---------- cvxpylayer : CvxpyLayer Custom layer used by a third party package called cvxpylayers. References ---------- [1] https://github.com/cvxgrp/cvxpylayers | NumericalMarkowitz | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumericalMarkowitz:
"""Convex optimization layer stylized into portfolio optimization problem. Parameters ---------- n_assets : int Number of assets. Attributes ---------- cvxpylayer : CvxpyLayer Custom layer used by a third party package called cvxpylayers. References ---------- [1] https://gith... | stack_v2_sparse_classes_75kplus_train_007937 | 19,769 | permissive | [
{
"docstring": "Construct.",
"name": "__init__",
"signature": "def __init__(self, n_assets, max_weight=1)"
},
{
"docstring": "Perform forward pass. Parameters ---------- rets : torch.Tensor Of shape (n_samples, n_assets) representing expected returns (or whatever the feature extractor decided to... | 2 | null | Implement the Python class `NumericalMarkowitz` described below.
Class description:
Convex optimization layer stylized into portfolio optimization problem. Parameters ---------- n_assets : int Number of assets. Attributes ---------- cvxpylayer : CvxpyLayer Custom layer used by a third party package called cvxpylayers.... | Implement the Python class `NumericalMarkowitz` described below.
Class description:
Convex optimization layer stylized into portfolio optimization problem. Parameters ---------- n_assets : int Number of assets. Attributes ---------- cvxpylayer : CvxpyLayer Custom layer used by a third party package called cvxpylayers.... | 7c2b243080fea8ebe535f6494ce98d907d71ada9 | <|skeleton|>
class NumericalMarkowitz:
"""Convex optimization layer stylized into portfolio optimization problem. Parameters ---------- n_assets : int Number of assets. Attributes ---------- cvxpylayer : CvxpyLayer Custom layer used by a third party package called cvxpylayers. References ---------- [1] https://gith... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumericalMarkowitz:
"""Convex optimization layer stylized into portfolio optimization problem. Parameters ---------- n_assets : int Number of assets. Attributes ---------- cvxpylayer : CvxpyLayer Custom layer used by a third party package called cvxpylayers. References ---------- [1] https://github.com/cvxgrp... | the_stack_v2_python_sparse | deepdow/layers/allocate.py | rodrigosnader/deepdow | train | 1 |
ce9c034a1a8cca208d23b5ae7f3a721d71178484 | [
"corp = CorporationFactory.get()\nlabel_group = corp.product_label_group_repository.get_label_group(args['label_group_id'])\nresult = label_group.add_label(args['label_name'])\nif isinstance(result, basestring):\n return (500, result)\nelse:\n return {'label': {'id': result.id, 'name': result.name, 'label_gro... | <|body_start_0|>
corp = CorporationFactory.get()
label_group = corp.product_label_group_repository.get_label_group(args['label_group_id'])
result = label_group.add_label(args['label_name'])
if isinstance(result, basestring):
return (500, result)
else:
retu... | 商品标签 | AProductLable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
<|body_0|>
def delete(args):
"""删除标签"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
corp = CorporationFactory.get()
label_group = corp.product_label_group_repository.get_label_group(ar... | stack_v2_sparse_classes_75kplus_train_007938 | 1,045 | no_license | [
{
"docstring": "创建标签",
"name": "put",
"signature": "def put(args)"
},
{
"docstring": "删除标签",
"name": "delete",
"signature": "def delete(args)"
}
] | 2 | stack_v2_sparse_classes_30k_train_028958 | Implement the Python class `AProductLable` described below.
Class description:
商品标签
Method signatures and docstrings:
- def put(args): 创建标签
- def delete(args): 删除标签 | Implement the Python class `AProductLable` described below.
Class description:
商品标签
Method signatures and docstrings:
- def put(args): 创建标签
- def delete(args): 删除标签
<|skeleton|>
class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
<|body_0|>
def delete(args):
"""删除标签"""
... | 39860a451678ab50ad93ce8ebe2ef8490af65d62 | <|skeleton|>
class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
<|body_0|>
def delete(args):
"""删除标签"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AProductLable:
"""商品标签"""
def put(args):
"""创建标签"""
corp = CorporationFactory.get()
label_group = corp.product_label_group_repository.get_label_group(args['label_group_id'])
result = label_group.add_label(args['label_name'])
if isinstance(result, basestring):
... | the_stack_v2_python_sparse | api/mall/product_label/a_product_label.py | chengdg/gaia | train | 0 |
bdc0258a196df6980c3249c064d9762e25509ee5 | [
"self.extent = width / 2.0\nself.sub = rospy.Subscriber('input_scan', LaserScan, self.filter_scan, queue_size=10)\nself.pub = rospy.Publisher('output_scan', LaserScan, queue_size=10)",
"angles = linspace(msg.angle_min, msg.angle_max, len(msg.ranges))\npoints = [r * sin(theta) for r, theta in zip(msg.ranges, angle... | <|body_start_0|>
self.extent = width / 2.0
self.sub = rospy.Subscriber('input_scan', LaserScan, self.filter_scan, queue_size=10)
self.pub = rospy.Publisher('output_scan', LaserScan, queue_size=10)
<|end_body_0|>
<|body_start_1|>
angles = linspace(msg.angle_min, msg.angle_max, len(msg.ra... | A class that implements a LaserScan filter that removes all of the points that are not in front of the robot. | FrontFilter | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FrontFilter:
"""A class that implements a LaserScan filter that removes all of the points that are not in front of the robot."""
def __init__(self, width):
""":param self: The self reference. :param width: The width of the robot."""
<|body_0|>
def filter_scan(self, msg):... | stack_v2_sparse_classes_75kplus_train_007939 | 2,270 | permissive | [
{
"docstring": ":param self: The self reference. :param width: The width of the robot.",
"name": "__init__",
"signature": "def __init__(self, width)"
},
{
"docstring": ":param self: Self reference. :param msg: LaserScan message.",
"name": "filter_scan",
"signature": "def filter_scan(self... | 2 | stack_v2_sparse_classes_30k_train_024537 | Implement the Python class `FrontFilter` described below.
Class description:
A class that implements a LaserScan filter that removes all of the points that are not in front of the robot.
Method signatures and docstrings:
- def __init__(self, width): :param self: The self reference. :param width: The width of the robo... | Implement the Python class `FrontFilter` described below.
Class description:
A class that implements a LaserScan filter that removes all of the points that are not in front of the robot.
Method signatures and docstrings:
- def __init__(self, width): :param self: The self reference. :param width: The width of the robo... | 0da63ef9a36e174f782c00f56099eb71bc15ca8b | <|skeleton|>
class FrontFilter:
"""A class that implements a LaserScan filter that removes all of the points that are not in front of the robot."""
def __init__(self, width):
""":param self: The self reference. :param width: The width of the robot."""
<|body_0|>
def filter_scan(self, msg):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FrontFilter:
"""A class that implements a LaserScan filter that removes all of the points that are not in front of the robot."""
def __init__(self, width):
""":param self: The self reference. :param width: The width of the robot."""
self.extent = width / 2.0
self.sub = rospy.Subsc... | the_stack_v2_python_sparse | rob599_hw1_ref/src/front_filter.py | patu0/rob599 | train | 0 |
a73fb36f7945463622b46b1a6d8a9458d4831625 | [
"def convert(p):\n return str(p.val) + '{' + convert(p.left) + '}{' + convert(p.right) + '}' if p else '$'\nreturn convert(root)",
"if data == '$':\n return None\ni = 0\nwhile i < len(data) and data[i] != '{':\n i += 1\nT = TreeNode(int(data[:i]))\nleft_start = i + 1\nleft_no, i = (1, i + 1)\nwhile i < l... | <|body_start_0|>
def convert(p):
return str(p.val) + '{' + convert(p.left) + '}{' + convert(p.right) + '}' if p else '$'
return convert(root)
<|end_body_0|>
<|body_start_1|>
if data == '$':
return None
i = 0
while i < len(data) and data[i] != '{':
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
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|>
<|body_... | stack_v2_sparse_classes_75kplus_train_007940 | 3,466 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_004241 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 78d36486ad4ec2bfb88fd35a5fd7fd4f0003ee97 | <|skeleton|>
class Codec:
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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def convert(p):
return str(p.val) + '{' + convert(p.left) + '}{' + convert(p.right) + '}' if p else '$'
return convert(root)
def deserialize(self, data):
... | the_stack_v2_python_sparse | 297_serialize&deserializeBT.py | YeahHuang/Leetcode | train | 1 | |
54c4e6255daf07af72fd2519815b937a73f09439 | [
"self.aws_access_key = aws_access_key\nself.aws_secret_key = aws_secret_key\nself.aws_session_token = aws_session_token\nself.verify = verify\nself.endpoint_url = endpoint_url\nself.cloudwatch = boto3.client('cloudwatch', region_name=region_name, endpoint_url=endpoint_url, aws_access_key_id=aws_access_key, aws_secr... | <|body_start_0|>
self.aws_access_key = aws_access_key
self.aws_secret_key = aws_secret_key
self.aws_session_token = aws_session_token
self.verify = verify
self.endpoint_url = endpoint_url
self.cloudwatch = boto3.client('cloudwatch', region_name=region_name, endpoint_url=e... | Reports processing metrics to CloudWatch. | MetricsSession | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MetricsSession:
"""Reports processing metrics to CloudWatch."""
def __init__(self, endpoint_url: str=None, aws_access_key: str=None, aws_secret_key: str=None, aws_session_token: str=None, region_name: str=None, verify: bool=True) -> None:
"""Initialize with AWS configuration."""
... | stack_v2_sparse_classes_75kplus_train_007941 | 4,000 | no_license | [
{
"docstring": "Initialize with AWS configuration.",
"name": "__init__",
"signature": "def __init__(self, endpoint_url: str=None, aws_access_key: str=None, aws_secret_key: str=None, aws_session_token: str=None, region_name: str=None, verify: bool=True) -> None"
},
{
"docstring": "Put data for a ... | 2 | stack_v2_sparse_classes_30k_train_014807 | Implement the Python class `MetricsSession` described below.
Class description:
Reports processing metrics to CloudWatch.
Method signatures and docstrings:
- def __init__(self, endpoint_url: str=None, aws_access_key: str=None, aws_secret_key: str=None, aws_session_token: str=None, region_name: str=None, verify: bool=... | Implement the Python class `MetricsSession` described below.
Class description:
Reports processing metrics to CloudWatch.
Method signatures and docstrings:
- def __init__(self, endpoint_url: str=None, aws_access_key: str=None, aws_secret_key: str=None, aws_session_token: str=None, region_name: str=None, verify: bool=... | 8cc1431e172b38b85f473e2686c20e0371165dda | <|skeleton|>
class MetricsSession:
"""Reports processing metrics to CloudWatch."""
def __init__(self, endpoint_url: str=None, aws_access_key: str=None, aws_secret_key: str=None, aws_session_token: str=None, region_name: str=None, verify: bool=True) -> None:
"""Initialize with AWS configuration."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MetricsSession:
"""Reports processing metrics to CloudWatch."""
def __init__(self, endpoint_url: str=None, aws_access_key: str=None, aws_secret_key: str=None, aws_session_token: str=None, region_name: str=None, verify: bool=True) -> None:
"""Initialize with AWS configuration."""
self.aws_... | the_stack_v2_python_sparse | fulltext/services/metrics.py | CornellCAC/arxiv-fulltext | train | 0 |
9f79f26badca04ddf1a3cbdbaa307bab41e2e4d4 | [
"if hdl[:5] == 'xxxxx':\n self.msg = self.dh.hh[hdl]\nelse:\n if url == None:\n thisid = hdl.replace('hdl:999999', '10876.test')\n if thisid[:4] == 'hdl:':\n thisid = thisid[4:]\n url = self.htmpl % thisid\n self.fetch(url)",
"try:\n fh = request.urlopen(url)\n self.... | <|body_start_0|>
if hdl[:5] == 'xxxxx':
self.msg = self.dh.hh[hdl]
else:
if url == None:
thisid = hdl.replace('hdl:999999', '10876.test')
if thisid[:4] == 'hdl:':
thisid = thisid[4:]
url = self.htmpl % thisid
... | Remote | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Remote:
def __init__(self, hdl, url=None):
"""Class to retrieve a handle .. optionally to retrieve from test data. Still needs some error handling based on the HTTP response code."""
<|body_0|>
def fetch(self, url):
"""Retrieve the handle data, using urllib ir reques... | stack_v2_sparse_classes_75kplus_train_007942 | 14,203 | permissive | [
{
"docstring": "Class to retrieve a handle .. optionally to retrieve from test data. Still needs some error handling based on the HTTP response code.",
"name": "__init__",
"signature": "def __init__(self, hdl, url=None)"
},
{
"docstring": "Retrieve the handle data, using urllib ir requests libra... | 2 | stack_v2_sparse_classes_30k_train_008960 | Implement the Python class `Remote` described below.
Class description:
Implement the Remote class.
Method signatures and docstrings:
- def __init__(self, hdl, url=None): Class to retrieve a handle .. optionally to retrieve from test data. Still needs some error handling based on the HTTP response code.
- def fetch(s... | Implement the Python class `Remote` described below.
Class description:
Implement the Remote class.
Method signatures and docstrings:
- def __init__(self, hdl, url=None): Class to retrieve a handle .. optionally to retrieve from test data. Still needs some error handling based on the HTTP response code.
- def fetch(s... | 6fca2632029a2adb9736bfc1382b39f82d8a27e1 | <|skeleton|>
class Remote:
def __init__(self, hdl, url=None):
"""Class to retrieve a handle .. optionally to retrieve from test data. Still needs some error handling based on the HTTP response code."""
<|body_0|>
def fetch(self, url):
"""Retrieve the handle data, using urllib ir reques... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Remote:
def __init__(self, hdl, url=None):
"""Class to retrieve a handle .. optionally to retrieve from test data. Still needs some error handling based on the HTTP response code."""
if hdl[:5] == 'xxxxx':
self.msg = self.dh.hh[hdl]
else:
if url == None:
... | the_stack_v2_python_sparse | ddc_packages/hddump/hddump/hddumpMain.py | cp4cds/cmip6_range_check_2 | train | 0 | |
6b136531c96bff1dfcba00461204b32db7c4a264 | [
"file_path = os.path.abspath(os.path.join(config_path, sign + '.yaml'))\ntry:\n with open(file_path, 'rb') as f:\n return yaml.load(f, Loader=yaml.FullLoader)\nexcept Exception as e:\n msg = '配置文件读取异常，请确认你的文件名'\n raise Exception(msg)",
"data = Config().read_data(sign)\nold_data = data\nfile_path =... | <|body_start_0|>
file_path = os.path.abspath(os.path.join(config_path, sign + '.yaml'))
try:
with open(file_path, 'rb') as f:
return yaml.load(f, Loader=yaml.FullLoader)
except Exception as e:
msg = '配置文件读取异常，请确认你的文件名'
raise Exception(msg)
<|en... | # 统一封装YAML文件读写方法 | Config | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Config:
"""# 统一封装YAML文件读写方法"""
def read_data(self, sign):
"""读取YAML文件数据 @:param sign 文件名称(不包含文件后缀.yaml) # aws配置文件路径: base_aws_config.yaml # 基础接口url配置文件路径: base_url_config.yaml # 数据库配置文件路径: base_db_config.yaml # 数据删除脚本配置文件路径: base_delete_sql.yaml # 接口参数配置文件路径: base_interface_config.ya... | stack_v2_sparse_classes_75kplus_train_007943 | 2,883 | no_license | [
{
"docstring": "读取YAML文件数据 @:param sign 文件名称(不包含文件后缀.yaml) # aws配置文件路径: base_aws_config.yaml # 基础接口url配置文件路径: base_url_config.yaml # 数据库配置文件路径: base_db_config.yaml # 数据删除脚本配置文件路径: base_delete_sql.yaml # 接口参数配置文件路径: base_interface_config.yaml # auth参数配置文件路径: encryption_config.yaml # easybuy的订单order相关配置: easybuy_... | 2 | stack_v2_sparse_classes_30k_train_017298 | Implement the Python class `Config` described below.
Class description:
# 统一封装YAML文件读写方法
Method signatures and docstrings:
- def read_data(self, sign): 读取YAML文件数据 @:param sign 文件名称(不包含文件后缀.yaml) # aws配置文件路径: base_aws_config.yaml # 基础接口url配置文件路径: base_url_config.yaml # 数据库配置文件路径: base_db_config.yaml # 数据删除脚本配置文件路径: ba... | Implement the Python class `Config` described below.
Class description:
# 统一封装YAML文件读写方法
Method signatures and docstrings:
- def read_data(self, sign): 读取YAML文件数据 @:param sign 文件名称(不包含文件后缀.yaml) # aws配置文件路径: base_aws_config.yaml # 基础接口url配置文件路径: base_url_config.yaml # 数据库配置文件路径: base_db_config.yaml # 数据删除脚本配置文件路径: ba... | 5a40ef2488252c1f3736a0672f5f44efd61c1e97 | <|skeleton|>
class Config:
"""# 统一封装YAML文件读写方法"""
def read_data(self, sign):
"""读取YAML文件数据 @:param sign 文件名称(不包含文件后缀.yaml) # aws配置文件路径: base_aws_config.yaml # 基础接口url配置文件路径: base_url_config.yaml # 数据库配置文件路径: base_db_config.yaml # 数据删除脚本配置文件路径: base_delete_sql.yaml # 接口参数配置文件路径: base_interface_config.ya... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Config:
"""# 统一封装YAML文件读写方法"""
def read_data(self, sign):
"""读取YAML文件数据 @:param sign 文件名称(不包含文件后缀.yaml) # aws配置文件路径: base_aws_config.yaml # 基础接口url配置文件路径: base_url_config.yaml # 数据库配置文件路径: base_db_config.yaml # 数据删除脚本配置文件路径: base_delete_sql.yaml # 接口参数配置文件路径: base_interface_config.yaml # auth参数配置... | the_stack_v2_python_sparse | ui2_xueqiu/confing/yaml.py | pj1124/teststudy | train | 0 |
52c56be8c0934026a4f5c5321120e5fe513a8936 | [
"self.outvar = outvar\nself.invar = invar\nself.mask = mask\nself.scale = scale\nself.bias = bias\nself.sense = sense",
"biases = np.reshape(self.bias[index, ...], [-1])\nslopes = np.reshape(self.scale[index, ...], [-1])\nmask = np.reshape(self.mask[index, ...], [-1])\nfor act_index, (slope, bias) in enumerate(zi... | <|body_start_0|>
self.outvar = outvar
self.invar = invar
self.mask = mask
self.scale = scale
self.bias = bias
self.sense = sense
<|end_body_0|>
<|body_start_1|>
biases = np.reshape(self.bias[index, ...], [-1])
slopes = np.reshape(self.scale[index, ...], [... | Linear constraint involved in the relaxation of an activation. | RelaxActivationConstraint | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelaxActivationConstraint:
"""Linear constraint involved in the relaxation of an activation."""
def __init__(self, outvar, invar, mask, scale, bias, sense):
"""Represents the constraint outvar =(>)(<) scale * invar + bias."""
<|body_0|>
def encode_into_solver(self, solve... | stack_v2_sparse_classes_75kplus_train_007944 | 26,545 | permissive | [
{
"docstring": "Represents the constraint outvar =(>)(<) scale * invar + bias.",
"name": "__init__",
"signature": "def __init__(self, outvar, invar, mask, scale, bias, sense)"
},
{
"docstring": "Encode the linear constraints into the provided solver. Args: solver: RelaxationSolver to create the ... | 2 | stack_v2_sparse_classes_30k_train_054029 | Implement the Python class `RelaxActivationConstraint` described below.
Class description:
Linear constraint involved in the relaxation of an activation.
Method signatures and docstrings:
- def __init__(self, outvar, invar, mask, scale, bias, sense): Represents the constraint outvar =(>)(<) scale * invar + bias.
- de... | Implement the Python class `RelaxActivationConstraint` described below.
Class description:
Linear constraint involved in the relaxation of an activation.
Method signatures and docstrings:
- def __init__(self, outvar, invar, mask, scale, bias, sense): Represents the constraint outvar =(>)(<) scale * invar + bias.
- de... | 96e4abb160f5022af4bf1aa8bb854822eb45a59b | <|skeleton|>
class RelaxActivationConstraint:
"""Linear constraint involved in the relaxation of an activation."""
def __init__(self, outvar, invar, mask, scale, bias, sense):
"""Represents the constraint outvar =(>)(<) scale * invar + bias."""
<|body_0|>
def encode_into_solver(self, solve... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RelaxActivationConstraint:
"""Linear constraint involved in the relaxation of an activation."""
def __init__(self, outvar, invar, mask, scale, bias, sense):
"""Represents the constraint outvar =(>)(<) scale * invar + bias."""
self.outvar = outvar
self.invar = invar
self.ma... | the_stack_v2_python_sparse | jax_verify/src/mip_solver/relaxation.py | harmonicm/jax_verify | train | 0 |
8a5a9f0629e7e2d621d84945a74df0166430248c | [
"df = process.imp_all(import_dictionary, cd, datatype, windowlength, polyorder)\ndf_ch = df\nreturn df_ch",
"cycle = []\ncharge_descript = pd.DataFrame()\nlength_dict = {key: len(value) for key, value in import_dictionary.items()}\nlenmax = max(length_dict.values())\nfor k, v in import_dictionary.items():\n cy... | <|body_start_0|>
df = process.imp_all(import_dictionary, cd, datatype, windowlength, polyorder)
df_ch = df
return df_ch
<|end_body_0|>
<|body_start_1|>
cycle = []
charge_descript = pd.DataFrame()
length_dict = {key: len(value) for key, value in import_dictionary.items()}... | process | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class process:
def df_generate(import_dictionary, cd, datatype, windowlength, polyorder):
"""Creates a pandas dataframe for each battery's charge/ discharge cycle in the import_filepath folder. import_filepath = filepath containing cleaned separated cycles cd = 'c' for charge and 'd' for disch... | stack_v2_sparse_classes_75kplus_train_007945 | 33,344 | permissive | [
{
"docstring": "Creates a pandas dataframe for each battery's charge/ discharge cycle in the import_filepath folder. import_filepath = filepath containing cleaned separated cycles cd = 'c' for charge and 'd' for discharge Output: df_ch = pandas dataframe for all cycles of all batteries in a col_ch = list of num... | 6 | stack_v2_sparse_classes_30k_train_022408 | Implement the Python class `process` described below.
Class description:
Implement the process class.
Method signatures and docstrings:
- def df_generate(import_dictionary, cd, datatype, windowlength, polyorder): Creates a pandas dataframe for each battery's charge/ discharge cycle in the import_filepath folder. impo... | Implement the Python class `process` described below.
Class description:
Implement the process class.
Method signatures and docstrings:
- def df_generate(import_dictionary, cd, datatype, windowlength, polyorder): Creates a pandas dataframe for each battery's charge/ discharge cycle in the import_filepath folder. impo... | c1a3f877ae3a54acc751ccc5446868a36e61b4fe | <|skeleton|>
class process:
def df_generate(import_dictionary, cd, datatype, windowlength, polyorder):
"""Creates a pandas dataframe for each battery's charge/ discharge cycle in the import_filepath folder. import_filepath = filepath containing cleaned separated cycles cd = 'c' for charge and 'd' for disch... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class process:
def df_generate(import_dictionary, cd, datatype, windowlength, polyorder):
"""Creates a pandas dataframe for each battery's charge/ discharge cycle in the import_filepath folder. import_filepath = filepath containing cleaned separated cycles cd = 'c' for charge and 'd' for discharge Output: d... | the_stack_v2_python_sparse | chachies/descriptors.py | BeckResearchLab/chachies | train | 1 | |
51b028eef8e7f5b711a9990f4ee5468a000d874e | [
"self.key = ''\nself.children = []\nself.endOfWord = False",
"trie = self\nfor s in word:\n flag = 0\n for i in range(len(trie.children)):\n if trie.children[i].key == s:\n trie = trie.children[i]\n flag = 1\n break\n if flag == 0:\n new_node = Trie()\n ... | <|body_start_0|>
self.key = ''
self.children = []
self.endOfWord = False
<|end_body_0|>
<|body_start_1|>
trie = self
for s in word:
flag = 0
for i in range(len(trie.children)):
if trie.children[i].key == s:
trie = trie.... | Trie | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Trie:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, word: str) -> None:
"""Inserts a word into the trie."""
<|body_1|>
def search(self, word: str) -> bool:
"""Returns if the word is in the trie."""
... | stack_v2_sparse_classes_75kplus_train_007946 | 1,881 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inserts a word into the trie.",
"name": "insert",
"signature": "def insert(self, word: str) -> None"
},
{
"docstring": "Returns if the word is in the tr... | 4 | null | Implement the Python class `Trie` described below.
Class description:
Implement the Trie class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, word: str) -> None: Inserts a word into the trie.
- def search(self, word: str) -> bool: Returns if the word i... | Implement the Python class `Trie` described below.
Class description:
Implement the Trie class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, word: str) -> None: Inserts a word into the trie.
- def search(self, word: str) -> bool: Returns if the word i... | 1a341180755dc678f1d33247a0d980e13c3d1d03 | <|skeleton|>
class Trie:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, word: str) -> None:
"""Inserts a word into the trie."""
<|body_1|>
def search(self, word: str) -> bool:
"""Returns if the word is in the trie."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Trie:
def __init__(self):
"""Initialize your data structure here."""
self.key = ''
self.children = []
self.endOfWord = False
def insert(self, word: str) -> None:
"""Inserts a word into the trie."""
trie = self
for s in word:
flag = 0
... | the_stack_v2_python_sparse | Trie/Trie.py | varun21290/leetcode_solutions | train | 0 | |
ffd4f8b36a784daea7c45f271e23b5d030621c20 | [
"self.shape = shape\nself.topk = topk\nself.upto = equiv_len\nif topk is not None:\n if equiv_len is None:\n self.upto = topk\n if self.upto > self.topk:\n raise ValueError(f'Equiv length {equiv_len} cannot exceed topk={topk}.')\nself.gumbel_noise = Gumbel(0, 1.0 / shape)\nself.log_scores = log_... | <|body_start_0|>
self.shape = shape
self.topk = topk
self.upto = equiv_len
if topk is not None:
if equiv_len is None:
self.upto = topk
if self.upto > self.topk:
raise ValueError(f'Equiv length {equiv_len} cannot exceed topk={topk}.'... | FrechetSort | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FrechetSort:
def __init__(self, shape: float=1.0, topk: Optional[int]=None, equiv_len: Optional[int]=None, log_scores: bool=False):
"""FréchetSort is a softer version of descending sort which samples all possible orderings of items favoring orderings which resemble descending sort. This ... | stack_v2_sparse_classes_75kplus_train_007947 | 6,759 | permissive | [
{
"docstring": "FréchetSort is a softer version of descending sort which samples all possible orderings of items favoring orderings which resemble descending sort. This can be used to convert descending sort by rank score into a differentiable, stochastic policy amenable to policy gradient algorithms. :param sh... | 3 | stack_v2_sparse_classes_30k_train_016393 | Implement the Python class `FrechetSort` described below.
Class description:
Implement the FrechetSort class.
Method signatures and docstrings:
- def __init__(self, shape: float=1.0, topk: Optional[int]=None, equiv_len: Optional[int]=None, log_scores: bool=False): FréchetSort is a softer version of descending sort wh... | Implement the Python class `FrechetSort` described below.
Class description:
Implement the FrechetSort class.
Method signatures and docstrings:
- def __init__(self, shape: float=1.0, topk: Optional[int]=None, equiv_len: Optional[int]=None, log_scores: bool=False): FréchetSort is a softer version of descending sort wh... | c5f1a8371a677b4f8fb0882b600bf331eba5259d | <|skeleton|>
class FrechetSort:
def __init__(self, shape: float=1.0, topk: Optional[int]=None, equiv_len: Optional[int]=None, log_scores: bool=False):
"""FréchetSort is a softer version of descending sort which samples all possible orderings of items favoring orderings which resemble descending sort. This ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FrechetSort:
def __init__(self, shape: float=1.0, topk: Optional[int]=None, equiv_len: Optional[int]=None, log_scores: bool=False):
"""FréchetSort is a softer version of descending sort which samples all possible orderings of items favoring orderings which resemble descending sort. This can be used to... | the_stack_v2_python_sparse | reagent/samplers/frechet.py | facebookresearch/ReAgent | train | 1,480 | |
18af1d7efde7b5b07149f6fb68c9c6ff43d78bd5 | [
"printtime('Starting mashsippr analysis pipeline', self.starttime)\nif not self.pipeline:\n objects = Objectprep(self)\n objects.objectprep()\n self.runmetadata = objects.samples\nMash(self, self.analysistype)",
"self.commit = str(pipelinecommit)\nself.starttime = startingtime\nself.homepath = scriptpath... | <|body_start_0|>
printtime('Starting mashsippr analysis pipeline', self.starttime)
if not self.pipeline:
objects = Objectprep(self)
objects.objectprep()
self.runmetadata = objects.samples
Mash(self, self.analysistype)
<|end_body_0|>
<|body_start_1|>
s... | MashSippr | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MashSippr:
def runner(self):
"""Run the necessary methods in the correct order"""
<|body_0|>
def __init__(self, args, pipelinecommit, startingtime, scriptpath):
""":param args: command line arguments :param pipelinecommit: pipeline commit or version :param startingti... | stack_v2_sparse_classes_75kplus_train_007948 | 6,801 | permissive | [
{
"docstring": "Run the necessary methods in the correct order",
"name": "runner",
"signature": "def runner(self)"
},
{
"docstring": ":param args: command line arguments :param pipelinecommit: pipeline commit or version :param startingtime: time the script was started :param scriptpath: home pat... | 2 | stack_v2_sparse_classes_30k_train_010618 | Implement the Python class `MashSippr` described below.
Class description:
Implement the MashSippr class.
Method signatures and docstrings:
- def runner(self): Run the necessary methods in the correct order
- def __init__(self, args, pipelinecommit, startingtime, scriptpath): :param args: command line arguments :para... | Implement the Python class `MashSippr` described below.
Class description:
Implement the MashSippr class.
Method signatures and docstrings:
- def runner(self): Run the necessary methods in the correct order
- def __init__(self, args, pipelinecommit, startingtime, scriptpath): :param args: command line arguments :para... | b4cc546485bddbbe26de6a80b629350314db6422 | <|skeleton|>
class MashSippr:
def runner(self):
"""Run the necessary methods in the correct order"""
<|body_0|>
def __init__(self, args, pipelinecommit, startingtime, scriptpath):
""":param args: command line arguments :param pipelinecommit: pipeline commit or version :param startingti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MashSippr:
def runner(self):
"""Run the necessary methods in the correct order"""
printtime('Starting mashsippr analysis pipeline', self.starttime)
if not self.pipeline:
objects = Objectprep(self)
objects.objectprep()
self.runmetadata = objects.sampl... | the_stack_v2_python_sparse | genemethods/MASHsippr/mashsippr.py | OLC-LOC-Bioinformatics/genemethods | train | 1 | |
7730af6fc733fdf98d564d81dd57ed7cb5d0231b | [
"super(Window, self).__init__(parent)\nself.systemtray_icon = systemtray_icon\nself.statusBar()\nself.widget = MainWidget(self)\nself.setCentralWidget(self.widget)\nself.resize(500, 200)\nself.setWindowTitle(APP_NAME)\nself.setWindowIcon(QIcon(ICON_PATH))\nself.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())\nhel... | <|body_start_0|>
super(Window, self).__init__(parent)
self.systemtray_icon = systemtray_icon
self.statusBar()
self.widget = MainWidget(self)
self.setCentralWidget(self.widget)
self.resize(500, 200)
self.setWindowTitle(APP_NAME)
self.setWindowIcon(QIcon(ICO... | Personal mainWindow class. | Window | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Window:
"""Personal mainWindow class."""
def __init__(self, systemtray_icon=None, parent=None):
"""Init window."""
<|body_0|>
def helper(self):
"""Display help."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(Window, self).__init__(parent)... | stack_v2_sparse_classes_75kplus_train_007949 | 11,571 | permissive | [
{
"docstring": "Init window.",
"name": "__init__",
"signature": "def __init__(self, systemtray_icon=None, parent=None)"
},
{
"docstring": "Display help.",
"name": "helper",
"signature": "def helper(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015116 | Implement the Python class `Window` described below.
Class description:
Personal mainWindow class.
Method signatures and docstrings:
- def __init__(self, systemtray_icon=None, parent=None): Init window.
- def helper(self): Display help. | Implement the Python class `Window` described below.
Class description:
Personal mainWindow class.
Method signatures and docstrings:
- def __init__(self, systemtray_icon=None, parent=None): Init window.
- def helper(self): Display help.
<|skeleton|>
class Window:
"""Personal mainWindow class."""
def __init_... | 93dd7abb03d27cf3490d8b2514365260d67ab15b | <|skeleton|>
class Window:
"""Personal mainWindow class."""
def __init__(self, systemtray_icon=None, parent=None):
"""Init window."""
<|body_0|>
def helper(self):
"""Display help."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Window:
"""Personal mainWindow class."""
def __init__(self, systemtray_icon=None, parent=None):
"""Init window."""
super(Window, self).__init__(parent)
self.systemtray_icon = systemtray_icon
self.statusBar()
self.widget = MainWidget(self)
self.setCentralWid... | the_stack_v2_python_sparse | Work_Log_Generator/work_log.py | hastagAB/Awesome-Python-Scripts | train | 1,757 |
39c370cbfc2c9c3eb979774815674077a68109fc | [
"self.tolerance = tolerance\nassert tolerance_type in ['Dalton', 'ppm'], \"Expected type from ['Dalton', 'ppm']\"\nself.type = tolerance_type",
"precursormz_ref = reference.get('precursor_mz')\nprecursormz_query = query.get('precursor_mz')\nassert precursormz_ref is not None and precursormz_query is not None, 'Mi... | <|body_start_0|>
self.tolerance = tolerance
assert tolerance_type in ['Dalton', 'ppm'], "Expected type from ['Dalton', 'ppm']"
self.type = tolerance_type
<|end_body_0|>
<|body_start_1|>
precursormz_ref = reference.get('precursor_mz')
precursormz_query = query.get('precursor_mz')... | Return True if spectrums match in precursor m/z (within tolerance), and False otherwise. The match within tolerance can be calculated based on an absolute m/z difference (tolerance_type="Dalton") or based on a relative difference in ppm (tolerance_type="ppm"). Example to calculate scores between 2 pairs of spectrums an... | PrecursorMzMatch | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrecursorMzMatch:
"""Return True if spectrums match in precursor m/z (within tolerance), and False otherwise. The match within tolerance can be calculated based on an absolute m/z difference (tolerance_type="Dalton") or based on a relative difference in ppm (tolerance_type="ppm"). Example to calc... | stack_v2_sparse_classes_75kplus_train_007950 | 7,316 | permissive | [
{
"docstring": "Parameters ---------- tolerance Specify tolerance below which two m/z are counted as match. tolerance_type Chose between fixed tolerance in Dalton (=\"Dalton\") or a relative difference in ppm (=\"ppm\").",
"name": "__init__",
"signature": "def __init__(self, tolerance: float=0.1, tolera... | 3 | stack_v2_sparse_classes_30k_train_009682 | Implement the Python class `PrecursorMzMatch` described below.
Class description:
Return True if spectrums match in precursor m/z (within tolerance), and False otherwise. The match within tolerance can be calculated based on an absolute m/z difference (tolerance_type="Dalton") or based on a relative difference in ppm ... | Implement the Python class `PrecursorMzMatch` described below.
Class description:
Return True if spectrums match in precursor m/z (within tolerance), and False otherwise. The match within tolerance can be calculated based on an absolute m/z difference (tolerance_type="Dalton") or based on a relative difference in ppm ... | d5c6cd79c891325815099c87bf6dfe2ff2db562b | <|skeleton|>
class PrecursorMzMatch:
"""Return True if spectrums match in precursor m/z (within tolerance), and False otherwise. The match within tolerance can be calculated based on an absolute m/z difference (tolerance_type="Dalton") or based on a relative difference in ppm (tolerance_type="ppm"). Example to calc... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrecursorMzMatch:
"""Return True if spectrums match in precursor m/z (within tolerance), and False otherwise. The match within tolerance can be calculated based on an absolute m/z difference (tolerance_type="Dalton") or based on a relative difference in ppm (tolerance_type="ppm"). Example to calculate scores ... | the_stack_v2_python_sparse | matchms/similarity/PrecursorMzMatch.py | AxelRolov/matchms | train | 0 |
33ca0f1f40b77f6b89b2a5ced7efeebde7a06410 | [
"self.transforms = []\nif photo_metric_distortion is not None:\n pass\nif expand is not None:\n pass\nif random_rotate is not None:\n pass\nif complex_aug is not None:\n pass",
"assert isinstance(results, dict) and 'img' in results\nimg = results['img'].astype(np.float32)\nfor transform in self.transf... | <|body_start_0|>
self.transforms = []
if photo_metric_distortion is not None:
pass
if expand is not None:
pass
if random_rotate is not None:
pass
if complex_aug is not None:
pass
<|end_body_0|>
<|body_start_1|>
assert isins... | text recognition augmentation setting | RcgExtraAugmentation | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RcgExtraAugmentation:
"""text recognition augmentation setting"""
def __init__(self, photo_metric_distortion=None, expand=None, random_rotate=None, complex_aug=None):
"""Args: photo_metric_distortion (dict): photo metric distortion setting expand (dict): image expand setting random_r... | stack_v2_sparse_classes_75kplus_train_007951 | 2,329 | permissive | [
{
"docstring": "Args: photo_metric_distortion (dict): photo metric distortion setting expand (dict): image expand setting random_rotate (dict): random rotate setting complex_aug (dict): extra augmentation setting",
"name": "__init__",
"signature": "def __init__(self, photo_metric_distortion=None, expand... | 2 | stack_v2_sparse_classes_30k_train_048117 | Implement the Python class `RcgExtraAugmentation` described below.
Class description:
text recognition augmentation setting
Method signatures and docstrings:
- def __init__(self, photo_metric_distortion=None, expand=None, random_rotate=None, complex_aug=None): Args: photo_metric_distortion (dict): photo metric distor... | Implement the Python class `RcgExtraAugmentation` described below.
Class description:
text recognition augmentation setting
Method signatures and docstrings:
- def __init__(self, photo_metric_distortion=None, expand=None, random_rotate=None, complex_aug=None): Args: photo_metric_distortion (dict): photo metric distor... | fb47a96d1a38f5ce634c6f12d710ed5300cc89fc | <|skeleton|>
class RcgExtraAugmentation:
"""text recognition augmentation setting"""
def __init__(self, photo_metric_distortion=None, expand=None, random_rotate=None, complex_aug=None):
"""Args: photo_metric_distortion (dict): photo metric distortion setting expand (dict): image expand setting random_r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RcgExtraAugmentation:
"""text recognition augmentation setting"""
def __init__(self, photo_metric_distortion=None, expand=None, random_rotate=None, complex_aug=None):
"""Args: photo_metric_distortion (dict): photo metric distortion setting expand (dict): image expand setting random_rotate (dict):... | the_stack_v2_python_sparse | davarocr/davarocr/davar_rcg/datasets/pipelines/rcg_extra_aug.py | OCRWorld/DAVAR-Lab-OCR | train | 0 |
188c6141a615dc5b75b822e02884276508e800c3 | [
"try:\n obj = cls.objects.get(type=4, agent_id=agent_id)\n return model_to_dict(obj, fields=['api', 'user', 'password'])\nexcept:\n return dict()",
"try:\n obj = cls.objects.get(type=1, agent_id=agent_id)\n return model_to_dict(obj)\nexcept:\n return dict()",
"try:\n obj = cls.objects.get(t... | <|body_start_0|>
try:
obj = cls.objects.get(type=4, agent_id=agent_id)
return model_to_dict(obj, fields=['api', 'user', 'password'])
except:
return dict()
<|end_body_0|>
<|body_start_1|>
try:
obj = cls.objects.get(type=1, agent_id=agent_id)
... | 代理商消息的设置，包括邮件、短信等 | Message | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Message:
"""代理商消息的设置，包括邮件、短信等"""
def get_cloud_info(cls, agent_id):
"""获取cloud 发邮件的需要数据 :return:"""
<|body_0|>
def get_smtp_info(cls, agent_id):
"""获取smtp服务信息 :param msg: :return:"""
<|body_1|>
def get_msg_info(cls, agent_id):
"""获取发短信信息 :par... | stack_v2_sparse_classes_75kplus_train_007952 | 13,020 | no_license | [
{
"docstring": "获取cloud 发邮件的需要数据 :return:",
"name": "get_cloud_info",
"signature": "def get_cloud_info(cls, agent_id)"
},
{
"docstring": "获取smtp服务信息 :param msg: :return:",
"name": "get_smtp_info",
"signature": "def get_smtp_info(cls, agent_id)"
},
{
"docstring": "获取发短信信息 :param a... | 3 | stack_v2_sparse_classes_30k_train_039996 | Implement the Python class `Message` described below.
Class description:
代理商消息的设置，包括邮件、短信等
Method signatures and docstrings:
- def get_cloud_info(cls, agent_id): 获取cloud 发邮件的需要数据 :return:
- def get_smtp_info(cls, agent_id): 获取smtp服务信息 :param msg: :return:
- def get_msg_info(cls, agent_id): 获取发短信信息 :param agent_id: :r... | Implement the Python class `Message` described below.
Class description:
代理商消息的设置，包括邮件、短信等
Method signatures and docstrings:
- def get_cloud_info(cls, agent_id): 获取cloud 发邮件的需要数据 :return:
- def get_smtp_info(cls, agent_id): 获取smtp服务信息 :param msg: :return:
- def get_msg_info(cls, agent_id): 获取发短信信息 :param agent_id: :r... | d6e025d7e9d9e3aecfd399c77f376130edd8a2df | <|skeleton|>
class Message:
"""代理商消息的设置，包括邮件、短信等"""
def get_cloud_info(cls, agent_id):
"""获取cloud 发邮件的需要数据 :return:"""
<|body_0|>
def get_smtp_info(cls, agent_id):
"""获取smtp服务信息 :param msg: :return:"""
<|body_1|>
def get_msg_info(cls, agent_id):
"""获取发短信信息 :par... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Message:
"""代理商消息的设置，包括邮件、短信等"""
def get_cloud_info(cls, agent_id):
"""获取cloud 发邮件的需要数据 :return:"""
try:
obj = cls.objects.get(type=4, agent_id=agent_id)
return model_to_dict(obj, fields=['api', 'user', 'password'])
except:
return dict()
de... | the_stack_v2_python_sparse | soc_system/models.py | sundw2015/841 | train | 4 |
0ab0b0c37a84d9b350b48acb1b70954d5714ac12 | [
"with pytest.raises(SystemExit):\n main.main([])\nout, err = capsys.readouterr()\nassert out == ''\nassert 'error: too few arguments' in err or 'error: the following arguments are required: source' in err",
"with pytest.raises(SystemExit):\n main.main(['foo', '-i', 'bar.bmp'])\nout, err = capsys.readouterr(... | <|body_start_0|>
with pytest.raises(SystemExit):
main.main([])
out, err = capsys.readouterr()
assert out == ''
assert 'error: too few arguments' in err or 'error: the following arguments are required: source' in err
<|end_body_0|>
<|body_start_1|>
with pytest.raises(... | TestArguments | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestArguments:
def test_fails_without_source(self, capsys):
"""Fail If no source is passed."""
<|body_0|>
def test_fails_with_unknown_icon(self, capsys):
"""Fail if icon is not PNG."""
<|body_1|>
def test_handles_unknown_doc_types(self, monkeypatch, tmpd... | stack_v2_sparse_classes_75kplus_train_007953 | 35,122 | no_license | [
{
"docstring": "Fail If no source is passed.",
"name": "test_fails_without_source",
"signature": "def test_fails_without_source(self, capsys)"
},
{
"docstring": "Fail if icon is not PNG.",
"name": "test_fails_with_unknown_icon",
"signature": "def test_fails_with_unknown_icon(self, capsys... | 3 | stack_v2_sparse_classes_30k_train_028643 | Implement the Python class `TestArguments` described below.
Class description:
Implement the TestArguments class.
Method signatures and docstrings:
- def test_fails_without_source(self, capsys): Fail If no source is passed.
- def test_fails_with_unknown_icon(self, capsys): Fail if icon is not PNG.
- def test_handles_... | Implement the Python class `TestArguments` described below.
Class description:
Implement the TestArguments class.
Method signatures and docstrings:
- def test_fails_without_source(self, capsys): Fail If no source is passed.
- def test_fails_with_unknown_icon(self, capsys): Fail if icon is not PNG.
- def test_handles_... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class TestArguments:
def test_fails_without_source(self, capsys):
"""Fail If no source is passed."""
<|body_0|>
def test_fails_with_unknown_icon(self, capsys):
"""Fail if icon is not PNG."""
<|body_1|>
def test_handles_unknown_doc_types(self, monkeypatch, tmpd... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestArguments:
def test_fails_without_source(self, capsys):
"""Fail If no source is passed."""
with pytest.raises(SystemExit):
main.main([])
out, err = capsys.readouterr()
assert out == ''
assert 'error: too few arguments' in err or 'error: the following arg... | the_stack_v2_python_sparse | repoData/hynek-doc2dash/allPythonContent.py | aCoffeeYin/pyreco | train | 0 | |
f720b5011987aa38eaca3b0ccf778cb043c22c57 | [
"super(Encoder, self).__init__()\nself.N = N\nself.dm = dm\nself.embedding = tf.keras.layers.Embedding(input_vocab, dm)\nself.positional_encoding = positional_encoding(max_seq_len, self.dm)\nself.blocks = [EncoderBlock(dm, h, hidden, drop_rate) for n in range(self.N)]\nself.dropout = tf.keras.layers.Dropout(drop_ra... | <|body_start_0|>
super(Encoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
self.positional_encoding = positional_encoding(max_seq_len, self.dm)
self.blocks = [EncoderBlock(dm, h, hidden, drop_rate) for n in range(s... | Encoder Class | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""Encoder Class"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor Args: N (int): the number of blocks in the encoder. dm (int): the dimensionality of the model. h (int): the number of heads. hidden (int): the number of hi... | stack_v2_sparse_classes_75kplus_train_007954 | 2,055 | no_license | [
{
"docstring": "Class constructor Args: N (int): the number of blocks in the encoder. dm (int): the dimensionality of the model. h (int): the number of heads. hidden (int): the number of hidden units in the fully connected layer. input_vocab (int): the size of the input vocabulary. max_seq_len (int): the maximu... | 2 | stack_v2_sparse_classes_30k_train_027759 | Implement the Python class `Encoder` described below.
Class description:
Encoder Class
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Class constructor Args: N (int): the number of blocks in the encoder. dm (int): the dimensionality of the model. h (... | Implement the Python class `Encoder` described below.
Class description:
Encoder Class
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Class constructor Args: N (int): the number of blocks in the encoder. dm (int): the dimensionality of the model. h (... | 5aff923277cfe9f2b5324a773e4e5c3cac810a0c | <|skeleton|>
class Encoder:
"""Encoder Class"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor Args: N (int): the number of blocks in the encoder. dm (int): the dimensionality of the model. h (int): the number of heads. hidden (int): the number of hi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Encoder:
"""Encoder Class"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor Args: N (int): the number of blocks in the encoder. dm (int): the dimensionality of the model. h (int): the number of heads. hidden (int): the number of hidden units in... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/9-transformer_encoder.py | cmmolanos1/holbertonschool-machine_learning | train | 1 |
8a291a798ecc37b8d192cf8e3151f61da420eb6f | [
"gradeValue = float(gradeValue)\nif gradeValue > 10 or gradeValue < 1:\n raise ValueError",
"if name == '':\n raise NameError\nfor index in name:\n try:\n int(index)\n raise NameError\n except ValueError:\n pass",
"try:\n int(ID)\nexcept ValueError:\n raise idError"
] | <|body_start_0|>
gradeValue = float(gradeValue)
if gradeValue > 10 or gradeValue < 1:
raise ValueError
<|end_body_0|>
<|body_start_1|>
if name == '':
raise NameError
for index in name:
try:
int(index)
raise NameError
... | Class that contains validators | Valid | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Valid:
"""Class that contains validators"""
def grade(self, gradeValue):
"""function to validate a grade :param: gradeValue - grade to be validated"""
<|body_0|>
def name(self, name):
"""function to validate a name :param: name - name to be validated"""
<... | stack_v2_sparse_classes_75kplus_train_007955 | 1,047 | no_license | [
{
"docstring": "function to validate a grade :param: gradeValue - grade to be validated",
"name": "grade",
"signature": "def grade(self, gradeValue)"
},
{
"docstring": "function to validate a name :param: name - name to be validated",
"name": "name",
"signature": "def name(self, name)"
... | 3 | stack_v2_sparse_classes_30k_train_048560 | Implement the Python class `Valid` described below.
Class description:
Class that contains validators
Method signatures and docstrings:
- def grade(self, gradeValue): function to validate a grade :param: gradeValue - grade to be validated
- def name(self, name): function to validate a name :param: name - name to be v... | Implement the Python class `Valid` described below.
Class description:
Class that contains validators
Method signatures and docstrings:
- def grade(self, gradeValue): function to validate a grade :param: gradeValue - grade to be validated
- def name(self, name): function to validate a name :param: name - name to be v... | eb49a93660f117ecdbaab2d556969689167aab62 | <|skeleton|>
class Valid:
"""Class that contains validators"""
def grade(self, gradeValue):
"""function to validate a grade :param: gradeValue - grade to be validated"""
<|body_0|>
def name(self, name):
"""function to validate a name :param: name - name to be validated"""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Valid:
"""Class that contains validators"""
def grade(self, gradeValue):
"""function to validate a grade :param: gradeValue - grade to be validated"""
gradeValue = float(gradeValue)
if gradeValue > 10 or gradeValue < 1:
raise ValueError
def name(self, name):
... | the_stack_v2_python_sparse | Validator/Validate.py | BendicRadu/Faculty-Application | train | 1 |
141473f32d9d9a11f407bb01e81ecc8dea8d33bd | [
"ans = []\ni = 0\nwhile i < len(S):\n j = i + 1\n while j < len(S):\n if S[i] != S[j]:\n break\n else:\n j += 1\n if j - i >= 3:\n ans.append([i, j - 1])\n i = j\nreturn ans",
"ans = []\ni = 0\nwhile i < len(S):\n j = i + 1\n while j < len(S):\n ... | <|body_start_0|>
ans = []
i = 0
while i < len(S):
j = i + 1
while j < len(S):
if S[i] != S[j]:
break
else:
j += 1
if j - i >= 3:
ans.append([i, j - 1])
i = j
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largeGroupPositions(self, S):
""":type S: str :rtype: List[List[int]]"""
<|body_0|>
def largeGroupPositions(self, S):
""":type S: str :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ans = []
i = 0
... | stack_v2_sparse_classes_75kplus_train_007956 | 920 | no_license | [
{
"docstring": ":type S: str :rtype: List[List[int]]",
"name": "largeGroupPositions",
"signature": "def largeGroupPositions(self, S)"
},
{
"docstring": ":type S: str :rtype: List[List[int]]",
"name": "largeGroupPositions",
"signature": "def largeGroupPositions(self, S)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largeGroupPositions(self, S): :type S: str :rtype: List[List[int]]
- def largeGroupPositions(self, S): :type S: str :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largeGroupPositions(self, S): :type S: str :rtype: List[List[int]]
- def largeGroupPositions(self, S): :type S: str :rtype: List[List[int]]
<|skeleton|>
class Solution:
... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Solution:
def largeGroupPositions(self, S):
""":type S: str :rtype: List[List[int]]"""
<|body_0|>
def largeGroupPositions(self, S):
""":type S: str :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def largeGroupPositions(self, S):
""":type S: str :rtype: List[List[int]]"""
ans = []
i = 0
while i < len(S):
j = i + 1
while j < len(S):
if S[i] != S[j]:
break
else:
j += ... | the_stack_v2_python_sparse | 0830_Positions_of_Large_Groups.py | bingli8802/leetcode | train | 0 | |
7bcf39d41aa962b7d1772725a0c5863f1d5f6afb | [
"self.error = False\nself.command = command\nself.gro_err = gro_err.split('\\n')\nself.check()",
"for line in self.gro_err:\n for error in self.e.keys():\n if line.startswith(error):\n raise self.e[error](self.command, error)"
] | <|body_start_0|>
self.error = False
self.command = command
self.gro_err = gro_err.split('\n')
self.check()
<|end_body_0|>
<|body_start_1|>
for line in self.gro_err:
for error in self.e.keys():
if line.startswith(error):
raise self.... | Load an error message and split it along as many properties as posible | GromacsMessages | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GromacsMessages:
"""Load an error message and split it along as many properties as posible"""
def __init__(self, gro_err='', command='', *args, **kwargs):
"""Pass the command and the output of that command in "command" and "gro_err" kwargs. The check for "error" property"""
<... | stack_v2_sparse_classes_75kplus_train_007957 | 1,762 | no_license | [
{
"docstring": "Pass the command and the output of that command in \"command\" and \"gro_err\" kwargs. The check for \"error\" property",
"name": "__init__",
"signature": "def __init__(self, gro_err='', command='', *args, **kwargs)"
},
{
"docstring": "Check if the GROMACS error message have any ... | 2 | null | Implement the Python class `GromacsMessages` described below.
Class description:
Load an error message and split it along as many properties as posible
Method signatures and docstrings:
- def __init__(self, gro_err='', command='', *args, **kwargs): Pass the command and the output of that command in "command" and "gro... | Implement the Python class `GromacsMessages` described below.
Class description:
Load an error message and split it along as many properties as posible
Method signatures and docstrings:
- def __init__(self, gro_err='', command='', *args, **kwargs): Pass the command and the output of that command in "command" and "gro... | ea2fe548c5b2ff930d36617903742feb3fd026cd | <|skeleton|>
class GromacsMessages:
"""Load an error message and split it along as many properties as posible"""
def __init__(self, gro_err='', command='', *args, **kwargs):
"""Pass the command and the output of that command in "command" and "gro_err" kwargs. The check for "error" property"""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GromacsMessages:
"""Load an error message and split it along as many properties as posible"""
def __init__(self, gro_err='', command='', *args, **kwargs):
"""Pass the command and the output of that command in "command" and "gro_err" kwargs. The check for "error" property"""
self.error = F... | the_stack_v2_python_sparse | 1_pre-equil_in_membrane/pymemdyn/groerrors.py | Pyshou/MD-FEP_parallel_Q5 | train | 3 |
82ba59cb5ccc331af05d3cf2014a300eebea8f3e | [
"if not (obj and len(Variable.objects.filter(version=obj))):\n return admin.ModelAdmin.get_fieldsets(self, request, obj=obj)\nelse:\n return ((None, {'fields': ('name', 'application'), 'description': '<div style=\"font-size: 16px;color: red;\">This version will be deleted when all linked variables will be del... | <|body_start_0|>
if not (obj and len(Variable.objects.filter(version=obj))):
return admin.ModelAdmin.get_fieldsets(self, request, obj=obj)
else:
return ((None, {'fields': ('name', 'application'), 'description': '<div style="font-size: 16px;color: red;">This version will be delete... | VersionAdmin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionAdmin:
def get_fieldsets(self, request, obj=None):
"""Display error message when it's impossible to delete the version"""
<|body_0|>
def has_delete_permission(self, request, obj=None):
"""Do not display delete button if some tests / variables are linked to thi... | stack_v2_sparse_classes_75kplus_train_007958 | 21,881 | permissive | [
{
"docstring": "Display error message when it's impossible to delete the version",
"name": "get_fieldsets",
"signature": "def get_fieldsets(self, request, obj=None)"
},
{
"docstring": "Do not display delete button if some tests / variables are linked to this application",
"name": "has_delete... | 3 | stack_v2_sparse_classes_30k_train_015100 | Implement the Python class `VersionAdmin` described below.
Class description:
Implement the VersionAdmin class.
Method signatures and docstrings:
- def get_fieldsets(self, request, obj=None): Display error message when it's impossible to delete the version
- def has_delete_permission(self, request, obj=None): Do not ... | Implement the Python class `VersionAdmin` described below.
Class description:
Implement the VersionAdmin class.
Method signatures and docstrings:
- def get_fieldsets(self, request, obj=None): Display error message when it's impossible to delete the version
- def has_delete_permission(self, request, obj=None): Do not ... | 590c84d5078fee4021fa23956390eb612b5f123d | <|skeleton|>
class VersionAdmin:
def get_fieldsets(self, request, obj=None):
"""Display error message when it's impossible to delete the version"""
<|body_0|>
def has_delete_permission(self, request, obj=None):
"""Do not display delete button if some tests / variables are linked to thi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VersionAdmin:
def get_fieldsets(self, request, obj=None):
"""Display error message when it's impossible to delete the version"""
if not (obj and len(Variable.objects.filter(version=obj))):
return admin.ModelAdmin.get_fieldsets(self, request, obj=obj)
else:
retur... | the_stack_v2_python_sparse | variableServer/admin.py | bhecquet/seleniumRobot-server | train | 0 | |
fef62df2b73ea735ce349933973ceeeb86e52ccc | [
"from dplkit.test.waveform import SineNarrator\nfrom datetime import datetime, timedelta\nstart = nau = datetime.utcnow()\nwidth = timedelta(microseconds=5000)\na = SineNarrator(N=64, start=nau, width=width, skew=np.array([0.0, np.pi / 2, np.pi]), channel_name='a')\n\ndef struct_maker(source):\n for f in source:... | <|body_start_0|>
from dplkit.test.waveform import SineNarrator
from datetime import datetime, timedelta
start = nau = datetime.utcnow()
width = timedelta(microseconds=5000)
a = SineNarrator(N=64, start=nau, width=width, skew=np.array([0.0, np.pi / 2, np.pi]), channel_name='a')
... | Test the StructToDictFilter | TestStructToDict | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestStructToDict:
"""Test the StructToDictFilter"""
def test_basic_struct(self):
"""Test converting generic struct-like frames."""
<|body_0|>
def test_basic_dplkit_struct(self):
"""Test converting DplKit struct frames. Since DplKit struct frames have a special "a... | stack_v2_sparse_classes_75kplus_train_007959 | 11,464 | no_license | [
{
"docstring": "Test converting generic struct-like frames.",
"name": "test_basic_struct",
"signature": "def test_basic_struct(self)"
},
{
"docstring": "Test converting DplKit struct frames. Since DplKit struct frames have a special \"asdict\" method which will be used instead of \"vars(frame)\"... | 2 | null | Implement the Python class `TestStructToDict` described below.
Class description:
Test the StructToDictFilter
Method signatures and docstrings:
- def test_basic_struct(self): Test converting generic struct-like frames.
- def test_basic_dplkit_struct(self): Test converting DplKit struct frames. Since DplKit struct fra... | Implement the Python class `TestStructToDict` described below.
Class description:
Test the StructToDictFilter
Method signatures and docstrings:
- def test_basic_struct(self): Test converting generic struct-like frames.
- def test_basic_dplkit_struct(self): Test converting DplKit struct frames. Since DplKit struct fra... | 32741e8fe1313ff8785029165bef31347cc2a3c3 | <|skeleton|>
class TestStructToDict:
"""Test the StructToDictFilter"""
def test_basic_struct(self):
"""Test converting generic struct-like frames."""
<|body_0|>
def test_basic_dplkit_struct(self):
"""Test converting DplKit struct frames. Since DplKit struct frames have a special "a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestStructToDict:
"""Test the StructToDictFilter"""
def test_basic_struct(self):
"""Test converting generic struct-like frames."""
from dplkit.test.waveform import SineNarrator
from datetime import datetime, timedelta
start = nau = datetime.utcnow()
width = timedel... | the_stack_v2_python_sparse | DplKit/python/dplkit/simple/filter.py | rayg-ssec/DplTools | train | 0 |
acc318609c68c4aec45c04b19fa428c342644353 | [
"self.mean_list = []\nself.cov_list = []\nself.p_k = []\nself.prob_k = []",
"self.train_data = train_samples\nself.train_labels = train_labels\nself.labels = np.unique(self.train_labels)\nfor label in self.labels:\n class_data = self.train_data[self.train_labels == label]\n mean = sum(class_data) / len(clas... | <|body_start_0|>
self.mean_list = []
self.cov_list = []
self.p_k = []
self.prob_k = []
<|end_body_0|>
<|body_start_1|>
self.train_data = train_samples
self.train_labels = train_labels
self.labels = np.unique(self.train_labels)
for label in self.labels:
... | GaussianClassifier | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GaussianClassifier:
def __init__(self):
"""Initialisiert den Klassifikator Legt Klassenvariablen fuer die Modellparameter an."""
<|body_0|>
def estimate(self, train_samples, train_labels):
"""Erstellt den Normalverteilungsklassikator mittels Trainingdaten. Schaetzt d... | stack_v2_sparse_classes_75kplus_train_007960 | 22,476 | no_license | [
{
"docstring": "Initialisiert den Klassifikator Legt Klassenvariablen fuer die Modellparameter an.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Erstellt den Normalverteilungsklassikator mittels Trainingdaten. Schaetzt die Modellparameter auf Grundlage der Trainingsd... | 3 | stack_v2_sparse_classes_30k_train_004636 | Implement the Python class `GaussianClassifier` described below.
Class description:
Implement the GaussianClassifier class.
Method signatures and docstrings:
- def __init__(self): Initialisiert den Klassifikator Legt Klassenvariablen fuer die Modellparameter an.
- def estimate(self, train_samples, train_labels): Erst... | Implement the Python class `GaussianClassifier` described below.
Class description:
Implement the GaussianClassifier class.
Method signatures and docstrings:
- def __init__(self): Initialisiert den Klassifikator Legt Klassenvariablen fuer die Modellparameter an.
- def estimate(self, train_samples, train_labels): Erst... | 3b9107306993b8af263ffde21a00ae60d638441b | <|skeleton|>
class GaussianClassifier:
def __init__(self):
"""Initialisiert den Klassifikator Legt Klassenvariablen fuer die Modellparameter an."""
<|body_0|>
def estimate(self, train_samples, train_labels):
"""Erstellt den Normalverteilungsklassikator mittels Trainingdaten. Schaetzt d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GaussianClassifier:
def __init__(self):
"""Initialisiert den Klassifikator Legt Klassenvariablen fuer die Modellparameter an."""
self.mean_list = []
self.cov_list = []
self.p_k = []
self.prob_k = []
def estimate(self, train_samples, train_labels):
"""Erstel... | the_stack_v2_python_sparse | PatRecTutorials/patrec-tutorials/common/classification.py | morpheus176/Mustererkennung | train | 0 | |
389ecba9ae43e88b6069e5549751adcf6ca1f7f6 | [
"fake_parser = commandline.ArgumentParser()\nfake_subparser = fake_parser.add_subparsers()\nimage_parser = fake_subparser.add_parser('image')\ncros_image.ImageCommand.AddParser(image_parser)\noptions = fake_parser.parse_args(['image'])\ninstance = options.command_class(options)\nself.assertEqual(instance.options.ad... | <|body_start_0|>
fake_parser = commandline.ArgumentParser()
fake_subparser = fake_parser.add_subparsers()
image_parser = fake_subparser.add_parser('image')
cros_image.ImageCommand.AddParser(image_parser)
options = fake_parser.parse_args(['image'])
instance = options.comma... | Test class for our ImageCommand's parser. | ImageCommandParserTest | [
"BSD-3-Clause",
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageCommandParserTest:
"""Test class for our ImageCommand's parser."""
def testParserDefaults(self):
"""Tests that the parser's default values are correct."""
<|body_0|>
def testParserSetValues(self):
"""Tests that the parser reads in values correctly."""
... | stack_v2_sparse_classes_75kplus_train_007961 | 13,120 | permissive | [
{
"docstring": "Tests that the parser's default values are correct.",
"name": "testParserDefaults",
"signature": "def testParserDefaults(self)"
},
{
"docstring": "Tests that the parser reads in values correctly.",
"name": "testParserSetValues",
"signature": "def testParserSetValues(self)... | 6 | stack_v2_sparse_classes_30k_train_006631 | Implement the Python class `ImageCommandParserTest` described below.
Class description:
Test class for our ImageCommand's parser.
Method signatures and docstrings:
- def testParserDefaults(self): Tests that the parser's default values are correct.
- def testParserSetValues(self): Tests that the parser reads in values... | Implement the Python class `ImageCommandParserTest` described below.
Class description:
Test class for our ImageCommand's parser.
Method signatures and docstrings:
- def testParserDefaults(self): Tests that the parser's default values are correct.
- def testParserSetValues(self): Tests that the parser reads in values... | e71f21b9b4b9b839f5093301974a45545dad2691 | <|skeleton|>
class ImageCommandParserTest:
"""Test class for our ImageCommand's parser."""
def testParserDefaults(self):
"""Tests that the parser's default values are correct."""
<|body_0|>
def testParserSetValues(self):
"""Tests that the parser reads in values correctly."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImageCommandParserTest:
"""Test class for our ImageCommand's parser."""
def testParserDefaults(self):
"""Tests that the parser's default values are correct."""
fake_parser = commandline.ArgumentParser()
fake_subparser = fake_parser.add_subparsers()
image_parser = fake_subp... | the_stack_v2_python_sparse | third_party/chromite/cli/cros/cros_image_unittest.py | zenoalbisser/chromium | train | 0 |
d18a8f182db8e6ae38e7f07b22a2ee9ab644fc98 | [
"super().__init__(name=name)\nself._common_layer_sizes = common_layer_sizes\nself._activation = activation\nself._output_dim = output_dim\nself._linear_layers = [hk.Linear(layer_size) for layer_size in self._common_layer_sizes]\nself._mean_output = hk.Linear(self._output_dim)\nself._log_var_output = hk.Linear(self.... | <|body_start_0|>
super().__init__(name=name)
self._common_layer_sizes = common_layer_sizes
self._activation = activation
self._output_dim = output_dim
self._linear_layers = [hk.Linear(layer_size) for layer_size in self._common_layer_sizes]
self._mean_output = hk.Linear(se... | A module representing the variational distribution q(H | *O). H is assumed to be a continuous variable. | Variational | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Variational:
"""A module representing the variational distribution q(H | *O). H is assumed to be a continuous variable."""
def __init__(self, common_layer_sizes: Iterable[int], activation: Callable[[jnp.DeviceArray], jnp.DeviceArray]=jnp.tanh, output_dim: int=1, name: Optional[str]=None):
... | stack_v2_sparse_classes_75kplus_train_007962 | 3,148 | permissive | [
{
"docstring": "Initialises a `Variational` instance. Args: common_layer_sizes: The number of hidden units in the shared dense network layers. activation: Nonlinearity function to apply to each of the common layers. output_dim: The dimensionality of `H`. name: A name to assign to the module instance.",
"nam... | 2 | null | Implement the Python class `Variational` described below.
Class description:
A module representing the variational distribution q(H | *O). H is assumed to be a continuous variable.
Method signatures and docstrings:
- def __init__(self, common_layer_sizes: Iterable[int], activation: Callable[[jnp.DeviceArray], jnp.Dev... | Implement the Python class `Variational` described below.
Class description:
A module representing the variational distribution q(H | *O). H is assumed to be a continuous variable.
Method signatures and docstrings:
- def __init__(self, common_layer_sizes: Iterable[int], activation: Callable[[jnp.DeviceArray], jnp.Dev... | a6ef8053380d6aa19aaae14b93f013ae9762d057 | <|skeleton|>
class Variational:
"""A module representing the variational distribution q(H | *O). H is assumed to be a continuous variable."""
def __init__(self, common_layer_sizes: Iterable[int], activation: Callable[[jnp.DeviceArray], jnp.DeviceArray]=jnp.tanh, output_dim: int=1, name: Optional[str]=None):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Variational:
"""A module representing the variational distribution q(H | *O). H is assumed to be a continuous variable."""
def __init__(self, common_layer_sizes: Iterable[int], activation: Callable[[jnp.DeviceArray], jnp.DeviceArray]=jnp.tanh, output_dim: int=1, name: Optional[str]=None):
"""Init... | the_stack_v2_python_sparse | counterfactual_fairness/variational.py | sethuramanio/deepmind-research | train | 1 |
2270525993c51fef0632fa971e47e978af94118c | [
"self.sim_param = sim_param\nself.sim_state = SimState()\nself.system_state = SystemState(self)\nself.event_chain = EventChain()\nself.sim_result = SimResult(self)\nself.counter_collection = CounterCollection(self)\nif no_seed:\n self.rng = RNG(ExponentialRNS(1.0), ExponentialRNS(1.0 / float(self.sim_param.RHO))... | <|body_start_0|>
self.sim_param = sim_param
self.sim_state = SimState()
self.system_state = SystemState(self)
self.event_chain = EventChain()
self.sim_result = SimResult(self)
self.counter_collection = CounterCollection(self)
if no_seed:
self.rng = RNG... | Simulation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Simulation:
def __init__(self, sim_param=SimParam(), no_seed=False):
"""Initialize the Simulation object. :param sim_param: is an optional SimParam object for parameter pre-configuration :param no_seed: is an optional parameter. If it is set to True, the RNG should be initialized without... | stack_v2_sparse_classes_75kplus_train_007963 | 4,689 | no_license | [
{
"docstring": "Initialize the Simulation object. :param sim_param: is an optional SimParam object for parameter pre-configuration :param no_seed: is an optional parameter. If it is set to True, the RNG should be initialized without a a specific seed.",
"name": "__init__",
"signature": "def __init__(sel... | 4 | stack_v2_sparse_classes_30k_train_018284 | Implement the Python class `Simulation` described below.
Class description:
Implement the Simulation class.
Method signatures and docstrings:
- def __init__(self, sim_param=SimParam(), no_seed=False): Initialize the Simulation object. :param sim_param: is an optional SimParam object for parameter pre-configuration :p... | Implement the Python class `Simulation` described below.
Class description:
Implement the Simulation class.
Method signatures and docstrings:
- def __init__(self, sim_param=SimParam(), no_seed=False): Initialize the Simulation object. :param sim_param: is an optional SimParam object for parameter pre-configuration :p... | 1a5936c8c0fcd0d74b61941504f2c58669154c15 | <|skeleton|>
class Simulation:
def __init__(self, sim_param=SimParam(), no_seed=False):
"""Initialize the Simulation object. :param sim_param: is an optional SimParam object for parameter pre-configuration :param no_seed: is an optional parameter. If it is set to True, the RNG should be initialized without... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Simulation:
def __init__(self, sim_param=SimParam(), no_seed=False):
"""Initialize the Simulation object. :param sim_param: is an optional SimParam object for parameter pre-configuration :param no_seed: is an optional parameter. If it is set to True, the RNG should be initialized without a a specific ... | the_stack_v2_python_sparse | DES_part5_03694565/DES_part5_03694565/simulation.py | gundoganalperen/ams-des | train | 4 | |
dc952934e1f950a2f4d0dbc8b639b3eae4f872e6 | [
"from pymodule import ProcessOptions\nself.ad = ProcessOptions.process_function_arguments(keywords, self.option_default_dict, error_doc=self.__doc__, class_to_have_attr=self)\nif self.analysis_method_id_ls is not None:\n self.analysis_method_id_ls = getListOutOfStr(self.analysis_method_id_ls, data_type=int)",
... | <|body_start_0|>
from pymodule import ProcessOptions
self.ad = ProcessOptions.process_function_arguments(keywords, self.option_default_dict, error_doc=self.__doc__, class_to_have_attr=self)
if self.analysis_method_id_ls is not None:
self.analysis_method_id_ls = getListOutOfStr(self.a... | ResultsMethod2Results | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResultsMethod2Results:
def __init__(self, **keywords):
"""2009-2-16"""
<|body_0|>
def rm2result(cls, session, rm, snp_info, max_rank=1000, commit=False, min_rank=1, results_directory=None):
"""2009-11-2 split out of run()"""
<|body_1|>
def run(self):
... | stack_v2_sparse_classes_75kplus_train_007964 | 4,990 | no_license | [
{
"docstring": "2009-2-16",
"name": "__init__",
"signature": "def __init__(self, **keywords)"
},
{
"docstring": "2009-11-2 split out of run()",
"name": "rm2result",
"signature": "def rm2result(cls, session, rm, snp_info, max_rank=1000, commit=False, min_rank=1, results_directory=None)"
... | 3 | stack_v2_sparse_classes_30k_train_025082 | Implement the Python class `ResultsMethod2Results` described below.
Class description:
Implement the ResultsMethod2Results class.
Method signatures and docstrings:
- def __init__(self, **keywords): 2009-2-16
- def rm2result(cls, session, rm, snp_info, max_rank=1000, commit=False, min_rank=1, results_directory=None): ... | Implement the Python class `ResultsMethod2Results` described below.
Class description:
Implement the ResultsMethod2Results class.
Method signatures and docstrings:
- def __init__(self, **keywords): 2009-2-16
- def rm2result(cls, session, rm, snp_info, max_rank=1000, commit=False, min_rank=1, results_directory=None): ... | 7b402496aae81665e6a915b5021b94d56e034c9d | <|skeleton|>
class ResultsMethod2Results:
def __init__(self, **keywords):
"""2009-2-16"""
<|body_0|>
def rm2result(cls, session, rm, snp_info, max_rank=1000, commit=False, min_rank=1, results_directory=None):
"""2009-11-2 split out of run()"""
<|body_1|>
def run(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResultsMethod2Results:
def __init__(self, **keywords):
"""2009-2-16"""
from pymodule import ProcessOptions
self.ad = ProcessOptions.process_function_arguments(keywords, self.option_default_dict, error_doc=self.__doc__, class_to_have_attr=self)
if self.analysis_method_id_ls is n... | the_stack_v2_python_sparse | variation/trunk/src/ResultsMethod2Results.py | polyactis/repos | train | 1 | |
51d196f50ab397eb831cb32236d42c054beb8652 | [
"self.circulation_strength = circulation_strength\nself.pressure_relaxation = pressure_relaxation\nself.viscosity = viscosity\nself.vtheta_max = vtheta_max\nself.core_radius = core_radius\nif vtheta_max is not None:\n self.method = 'vtheta_max'\nelif circulation_strength is not None and viscosity is not None and... | <|body_start_0|>
self.circulation_strength = circulation_strength
self.pressure_relaxation = pressure_relaxation
self.viscosity = viscosity
self.vtheta_max = vtheta_max
self.core_radius = core_radius
if vtheta_max is not None:
self.method = 'vtheta_max'
... | AshVortex | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AshVortex:
def __init__(self, core_radius, circulation_strength=None, viscosity=None, pressure_relaxation=None, vtheta_max=None):
"""Based on work by Robert Ash, Irfan Zardadkhan, Allan Zuckerwar in "The influence of pressure relaxation on the structure of an axial vortex" inputs must ei... | stack_v2_sparse_classes_75kplus_train_007965 | 2,746 | permissive | [
{
"docstring": "Based on work by Robert Ash, Irfan Zardadkhan, Allan Zuckerwar in \"The influence of pressure relaxation on the structure of an axial vortex\" inputs must either be: core_radius circulation_strength viscosity pressure_relaxation OR core_radius vtheta_max :param core_radius: :param circulation_st... | 4 | stack_v2_sparse_classes_30k_train_037460 | Implement the Python class `AshVortex` described below.
Class description:
Implement the AshVortex class.
Method signatures and docstrings:
- def __init__(self, core_radius, circulation_strength=None, viscosity=None, pressure_relaxation=None, vtheta_max=None): Based on work by Robert Ash, Irfan Zardadkhan, Allan Zuck... | Implement the Python class `AshVortex` described below.
Class description:
Implement the AshVortex class.
Method signatures and docstrings:
- def __init__(self, core_radius, circulation_strength=None, viscosity=None, pressure_relaxation=None, vtheta_max=None): Based on work by Robert Ash, Irfan Zardadkhan, Allan Zuck... | f07a95610cec2a275f9edb2c15cf0f2dfb99a967 | <|skeleton|>
class AshVortex:
def __init__(self, core_radius, circulation_strength=None, viscosity=None, pressure_relaxation=None, vtheta_max=None):
"""Based on work by Robert Ash, Irfan Zardadkhan, Allan Zuckerwar in "The influence of pressure relaxation on the structure of an axial vortex" inputs must ei... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AshVortex:
def __init__(self, core_radius, circulation_strength=None, viscosity=None, pressure_relaxation=None, vtheta_max=None):
"""Based on work by Robert Ash, Irfan Zardadkhan, Allan Zuckerwar in "The influence of pressure relaxation on the structure of an axial vortex" inputs must either be: core_... | the_stack_v2_python_sparse | py/vortex_theory/AshVortex.py | alexlib/pivpr | train | 0 | |
446215ab1cfdbbd44e0fbc379e9749aa756be8cc | [
"self.agent = agent\nself.display = display\nself._state = None\nself._should_quit = False",
"if self.display:\n self.display.root.update()\nelse:\n print(initial_state)\nself._should_quit = False\nself._state = initial_state\nreturn self._game_loop(initial_state, max_time)",
"start = time.time()\nwhile n... | <|body_start_0|>
self.agent = agent
self.display = display
self._state = None
self._should_quit = False
<|end_body_0|>
<|body_start_1|>
if self.display:
self.display.root.update()
else:
print(initial_state)
self._should_quit = False
... | A game class, that holds all the attributes and methods of a game. | Game | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Game:
"""A game class, that holds all the attributes and methods of a game."""
def __init__(self, agent, display=None):
"""constructs a new Game object."""
<|body_0|>
def run(self, initial_state, max_time=None):
"""runs one game."""
<|body_1|>
def _g... | stack_v2_sparse_classes_75kplus_train_007966 | 7,971 | no_license | [
{
"docstring": "constructs a new Game object.",
"name": "__init__",
"signature": "def __init__(self, agent, display=None)"
},
{
"docstring": "runs one game.",
"name": "run",
"signature": "def run(self, initial_state, max_time=None)"
},
{
"docstring": "the loop that runs a single ... | 3 | stack_v2_sparse_classes_30k_train_042331 | Implement the Python class `Game` described below.
Class description:
A game class, that holds all the attributes and methods of a game.
Method signatures and docstrings:
- def __init__(self, agent, display=None): constructs a new Game object.
- def run(self, initial_state, max_time=None): runs one game.
- def _game_... | Implement the Python class `Game` described below.
Class description:
A game class, that holds all the attributes and methods of a game.
Method signatures and docstrings:
- def __init__(self, agent, display=None): constructs a new Game object.
- def run(self, initial_state, max_time=None): runs one game.
- def _game_... | 912836ea0053ed5f09948787d9f960f64fb2e227 | <|skeleton|>
class Game:
"""A game class, that holds all the attributes and methods of a game."""
def __init__(self, agent, display=None):
"""constructs a new Game object."""
<|body_0|>
def run(self, initial_state, max_time=None):
"""runs one game."""
<|body_1|>
def _g... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Game:
"""A game class, that holds all the attributes and methods of a game."""
def __init__(self, agent, display=None):
"""constructs a new Game object."""
self.agent = agent
self.display = display
self._state = None
self._should_quit = False
def run(self, ini... | the_stack_v2_python_sparse | corona_apocalypse_project/game.py | noamoalem/ai | train | 0 |
f34a29071aabec3b4f322d461488c8f4bf9b805c | [
"super(Bottleneck, self).__init__()\nself.downsample = downsample\nself._make_midout = nn.Sequential(nn.Conv3d(in_channels, out_channels, kernel_size=1, stride=1, padding=0, bias=False), nn.BatchNorm3d(out_channels), nn.ReLU(inplace=True), nn.Conv3d(out_channels, out_channels, kernel_size=(1, 3, 1), stride=(1, stri... | <|body_start_0|>
super(Bottleneck, self).__init__()
self.downsample = downsample
self._make_midout = nn.Sequential(nn.Conv3d(in_channels, out_channels, kernel_size=1, stride=1, padding=0, bias=False), nn.BatchNorm3d(out_channels), nn.ReLU(inplace=True), nn.Conv3d(out_channels, out_channels, kern... | 用于ResNet50,101和152的残差块，1x1 + 3x3 + 1x1的卷积优化为1x1 + 3x1 + 1*3 + 1x1 | Bottleneck | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bottleneck:
"""用于ResNet50,101和152的残差块，1x1 + 3x3 + 1x1的卷积优化为1x1 + 3x1 + 1*3 + 1x1"""
def __init__(self, in_channels, out_channels, stride=1, downsample=None):
"""小残差块初始化 :param: in_channels 卷积层输入通道数 :param: out_channels 卷积层输出通道数 :param: stride 卷积层步长 :param: downsample 是否要调整, 为下采样网络结构"... | stack_v2_sparse_classes_75kplus_train_007967 | 28,867 | no_license | [
{
"docstring": "小残差块初始化 :param: in_channels 卷积层输入通道数 :param: out_channels 卷积层输出通道数 :param: stride 卷积层步长 :param: downsample 是否要调整, 为下采样网络结构",
"name": "__init__",
"signature": "def __init__(self, in_channels, out_channels, stride=1, downsample=None)"
},
{
"docstring": "前向传播 :param: x 图片变量 return o... | 2 | stack_v2_sparse_classes_30k_train_048135 | Implement the Python class `Bottleneck` described below.
Class description:
用于ResNet50,101和152的残差块，1x1 + 3x3 + 1x1的卷积优化为1x1 + 3x1 + 1*3 + 1x1
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, stride=1, downsample=None): 小残差块初始化 :param: in_channels 卷积层输入通道数 :param: out_channels 卷积层输出通道数... | Implement the Python class `Bottleneck` described below.
Class description:
用于ResNet50,101和152的残差块，1x1 + 3x3 + 1x1的卷积优化为1x1 + 3x1 + 1*3 + 1x1
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, stride=1, downsample=None): 小残差块初始化 :param: in_channels 卷积层输入通道数 :param: out_channels 卷积层输出通道数... | 2a68fd854bc5b1806319dfc40e36e084f9c4c5d0 | <|skeleton|>
class Bottleneck:
"""用于ResNet50,101和152的残差块，1x1 + 3x3 + 1x1的卷积优化为1x1 + 3x1 + 1*3 + 1x1"""
def __init__(self, in_channels, out_channels, stride=1, downsample=None):
"""小残差块初始化 :param: in_channels 卷积层输入通道数 :param: out_channels 卷积层输出通道数 :param: stride 卷积层步长 :param: downsample 是否要调整, 为下采样网络结构"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bottleneck:
"""用于ResNet50,101和152的残差块，1x1 + 3x3 + 1x1的卷积优化为1x1 + 3x1 + 1*3 + 1x1"""
def __init__(self, in_channels, out_channels, stride=1, downsample=None):
"""小残差块初始化 :param: in_channels 卷积层输入通道数 :param: out_channels 卷积层输出通道数 :param: stride 卷积层步长 :param: downsample 是否要调整, 为下采样网络结构"""
su... | the_stack_v2_python_sparse | code_keh/Pytorch_nets3d.py | ruichen9/3DCTLungDiseaseDiagnosis | train | 0 |
026ad6e94548ccffdc0ce6d63ef3bd9841dca258 | [
"if group >= 0 and index >= 0:\n view = get_group_view(self.window, group, index)\n if view is not None:\n file_name = view.file_name()\n if file_name is not None and os.path.exists(file_name):\n v = self.window.show_input_panel('Duplicate:', file_name, lambda x: self.on_done(file_nam... | <|body_start_0|>
if group >= 0 and index >= 0:
view = get_group_view(self.window, group, index)
if view is not None:
file_name = view.file_name()
if file_name is not None and os.path.exists(file_name):
v = self.window.show_input_panel('... | Duplicate tab. | TabsExtraDuplicateCommand | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TabsExtraDuplicateCommand:
"""Duplicate tab."""
def run(self, group=-1, index=-1):
"""Rename the given tab."""
<|body_0|>
def on_done(self, old, new):
"""Handle the tab duplication when the user is done with the input panel."""
<|body_1|>
def is_visi... | stack_v2_sparse_classes_75kplus_train_007968 | 33,758 | permissive | [
{
"docstring": "Rename the given tab.",
"name": "run",
"signature": "def run(self, group=-1, index=-1)"
},
{
"docstring": "Handle the tab duplication when the user is done with the input panel.",
"name": "on_done",
"signature": "def on_done(self, old, new)"
},
{
"docstring": "Che... | 3 | null | Implement the Python class `TabsExtraDuplicateCommand` described below.
Class description:
Duplicate tab.
Method signatures and docstrings:
- def run(self, group=-1, index=-1): Rename the given tab.
- def on_done(self, old, new): Handle the tab duplication when the user is done with the input panel.
- def is_visible(... | Implement the Python class `TabsExtraDuplicateCommand` described below.
Class description:
Duplicate tab.
Method signatures and docstrings:
- def run(self, group=-1, index=-1): Rename the given tab.
- def on_done(self, old, new): Handle the tab duplication when the user is done with the input panel.
- def is_visible(... | fa9d29c3553d7e05e9cc25f3fdf3fc410944927d | <|skeleton|>
class TabsExtraDuplicateCommand:
"""Duplicate tab."""
def run(self, group=-1, index=-1):
"""Rename the given tab."""
<|body_0|>
def on_done(self, old, new):
"""Handle the tab duplication when the user is done with the input panel."""
<|body_1|>
def is_visi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TabsExtraDuplicateCommand:
"""Duplicate tab."""
def run(self, group=-1, index=-1):
"""Rename the given tab."""
if group >= 0 and index >= 0:
view = get_group_view(self.window, group, index)
if view is not None:
file_name = view.file_name()
... | the_stack_v2_python_sparse | tabs_extra.py | facelessuser/TabsExtra | train | 84 |
709e09f94aecc8f050f92416d192c4865192c8ce | [
"batch_size = inputs.shape[0]\ntrue_means, true_scales, true_log_weights = true_params\ntrue_log_weights = jnp.nan_to_num(true_log_weights, neginf=0.0)\nflat_true_params = vmap(flatten_gmm_params)(true_means, true_scales, true_log_weights)\npreds = self.model.call(params, inputs, input_lengths, ks)\nlog_weights = j... | <|body_start_0|>
batch_size = inputs.shape[0]
true_means, true_scales, true_log_weights = true_params
true_log_weights = jnp.nan_to_num(true_log_weights, neginf=0.0)
flat_true_params = vmap(flatten_gmm_params)(true_means, true_scales, true_log_weights)
preds = self.model.call(par... | MeanScaleWeightInferenceMachine | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeanScaleWeightInferenceMachine:
def loss(self, params, inputs, input_lengths, true_params, ks, key):
"""Computes the wasserstein loss for this model. Args: params: The parameters of the model, returned from init(). inputs: A [batch_size, max_num_data_points, data_dim] set of input data.... | stack_v2_sparse_classes_75kplus_train_007969 | 35,720 | no_license | [
{
"docstring": "Computes the wasserstein loss for this model. Args: params: The parameters of the model, returned from init(). inputs: A [batch_size, max_num_data_points, data_dim] set of input data. input_lengths: A [batch_size] set of integers representing the number of data points in each batch element. true... | 3 | stack_v2_sparse_classes_30k_train_030180 | Implement the Python class `MeanScaleWeightInferenceMachine` described below.
Class description:
Implement the MeanScaleWeightInferenceMachine class.
Method signatures and docstrings:
- def loss(self, params, inputs, input_lengths, true_params, ks, key): Computes the wasserstein loss for this model. Args: params: The... | Implement the Python class `MeanScaleWeightInferenceMachine` described below.
Class description:
Implement the MeanScaleWeightInferenceMachine class.
Method signatures and docstrings:
- def loss(self, params, inputs, input_lengths, true_params, ks, key): Computes the wasserstein loss for this model. Args: params: The... | bf831d2b1c2c2fcc850a75c6f63c7b4da8bb0824 | <|skeleton|>
class MeanScaleWeightInferenceMachine:
def loss(self, params, inputs, input_lengths, true_params, ks, key):
"""Computes the wasserstein loss for this model. Args: params: The parameters of the model, returned from init(). inputs: A [batch_size, max_num_data_points, data_dim] set of input data.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MeanScaleWeightInferenceMachine:
def loss(self, params, inputs, input_lengths, true_params, ks, key):
"""Computes the wasserstein loss for this model. Args: params: The parameters of the model, returned from init(). inputs: A [batch_size, max_num_data_points, data_dim] set of input data. input_lengths... | the_stack_v2_python_sparse | gmm_models.py | dieterichlawson/learn_to_infer | train | 1 | |
e851975dd8ce9950ca404eae6ca24d821ae16928 | [
"if isinstance(out_size, int):\n out_x = out_y = out_z = out_size\nelse:\n assert len(out_size) == 3\n assert mmcv.is_tuple_of(out_size, int)\n out_x, out_y, out_z = out_size\nnum_rois = rois.shape[0]\nnum_channels = pts_feature.shape[-1]\nnum_pts = pts.shape[0]\npooled_features = pts_feature.new_zeros(... | <|body_start_0|>
if isinstance(out_size, int):
out_x = out_y = out_z = out_size
else:
assert len(out_size) == 3
assert mmcv.is_tuple_of(out_size, int)
out_x, out_y, out_z = out_size
num_rois = rois.shape[0]
num_channels = pts_feature.shape[... | RoIAwarePool3dFunction | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RoIAwarePool3dFunction:
def forward(ctx, rois, pts, pts_feature, out_size, max_pts_per_voxel, mode):
"""RoIAwarePool3d function forward. Args: rois (torch.Tensor): [N, 7], in LiDAR coordinate, (x, y, z) is the bottom center of rois pts (torch.Tensor): [npoints, 3] pts_feature (torch.Tens... | stack_v2_sparse_classes_75kplus_train_007970 | 3,504 | permissive | [
{
"docstring": "RoIAwarePool3d function forward. Args: rois (torch.Tensor): [N, 7], in LiDAR coordinate, (x, y, z) is the bottom center of rois pts (torch.Tensor): [npoints, 3] pts_feature (torch.Tensor): [npoints, C] out_size (int or tuple): n or [n1, n2, n3] max_pts_per_voxel (int): m mode (int): 0 (max pool)... | 2 | stack_v2_sparse_classes_30k_train_044043 | Implement the Python class `RoIAwarePool3dFunction` described below.
Class description:
Implement the RoIAwarePool3dFunction class.
Method signatures and docstrings:
- def forward(ctx, rois, pts, pts_feature, out_size, max_pts_per_voxel, mode): RoIAwarePool3d function forward. Args: rois (torch.Tensor): [N, 7], in Li... | Implement the Python class `RoIAwarePool3dFunction` described below.
Class description:
Implement the RoIAwarePool3dFunction class.
Method signatures and docstrings:
- def forward(ctx, rois, pts, pts_feature, out_size, max_pts_per_voxel, mode): RoIAwarePool3d function forward. Args: rois (torch.Tensor): [N, 7], in Li... | feb0664e64684d3207859279f047fa54a1a806f6 | <|skeleton|>
class RoIAwarePool3dFunction:
def forward(ctx, rois, pts, pts_feature, out_size, max_pts_per_voxel, mode):
"""RoIAwarePool3d function forward. Args: rois (torch.Tensor): [N, 7], in LiDAR coordinate, (x, y, z) is the bottom center of rois pts (torch.Tensor): [npoints, 3] pts_feature (torch.Tens... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RoIAwarePool3dFunction:
def forward(ctx, rois, pts, pts_feature, out_size, max_pts_per_voxel, mode):
"""RoIAwarePool3d function forward. Args: rois (torch.Tensor): [N, 7], in LiDAR coordinate, (x, y, z) is the bottom center of rois pts (torch.Tensor): [npoints, 3] pts_feature (torch.Tensor): [npoints,... | the_stack_v2_python_sparse | mmdetection3d/mmdet3d/ops/roiaware_pool3d/roiaware_pool3d.py | hustvl/MapTR | train | 643 | |
d301a82951373b9f3f8190712eb56e4e1c56f2ed | [
"for param in params:\n if param not in self.__info__['space']:\n print('Error: not supported parameters {}'.format(param))\nif self.dataset_type == PROBLEM.CLASSIFICATION:\n layers = (params['Hidden1'], params['Hidden2'], params['Hidden3'], params['Hidden4'])\n model = MLPClassifier(hidden_layer_si... | <|body_start_0|>
for param in params:
if param not in self.__info__['space']:
print('Error: not supported parameters {}'.format(param))
if self.dataset_type == PROBLEM.CLASSIFICATION:
layers = (params['Hidden1'], params['Hidden2'], params['Hidden3'], params['Hidde... | MLPerceptron | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MLPerceptron:
def train(self, params):
"""Train the model with the given hyper-parameters. Args: :param params: dictionary of hyper-parameters. :return: trained model."""
<|body_0|>
def evaluate(self, params):
"""Classify the test set of the chosen dataset and produc... | stack_v2_sparse_classes_75kplus_train_007971 | 3,221 | no_license | [
{
"docstring": "Train the model with the given hyper-parameters. Args: :param params: dictionary of hyper-parameters. :return: trained model.",
"name": "train",
"signature": "def train(self, params)"
},
{
"docstring": "Classify the test set of the chosen dataset and produce the result correspond... | 2 | stack_v2_sparse_classes_30k_val_001627 | Implement the Python class `MLPerceptron` described below.
Class description:
Implement the MLPerceptron class.
Method signatures and docstrings:
- def train(self, params): Train the model with the given hyper-parameters. Args: :param params: dictionary of hyper-parameters. :return: trained model.
- def evaluate(self... | Implement the Python class `MLPerceptron` described below.
Class description:
Implement the MLPerceptron class.
Method signatures and docstrings:
- def train(self, params): Train the model with the given hyper-parameters. Args: :param params: dictionary of hyper-parameters. :return: trained model.
- def evaluate(self... | 27f861c09615aedfd96cffdebf7d9653f72b4d7b | <|skeleton|>
class MLPerceptron:
def train(self, params):
"""Train the model with the given hyper-parameters. Args: :param params: dictionary of hyper-parameters. :return: trained model."""
<|body_0|>
def evaluate(self, params):
"""Classify the test set of the chosen dataset and produc... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MLPerceptron:
def train(self, params):
"""Train the model with the given hyper-parameters. Args: :param params: dictionary of hyper-parameters. :return: trained model."""
for param in params:
if param not in self.__info__['space']:
print('Error: not supported parame... | the_stack_v2_python_sparse | API/Metrics/MLPerceptron.py | AndreaCorsini1/Ahmet | train | 1 | |
47c71ca91a7dd0bd27a51e4b155dab3c1279b638 | [
"diagnosis = DiagnosisPerm.objects.filter(diag_id=self, username=healthcare, perm_value__in=[2, 3])\nif diagnosis.count() == 0:\n return False\nelse:\n return True",
"if self.patient_id == patient:\n return True\nelse:\n return False"
] | <|body_start_0|>
diagnosis = DiagnosisPerm.objects.filter(diag_id=self, username=healthcare, perm_value__in=[2, 3])
if diagnosis.count() == 0:
return False
else:
return True
<|end_body_0|>
<|body_start_1|>
if self.patient_id == patient:
return True
... | Diagnosis | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Diagnosis:
def has_permission(self, healthcare):
"""Checks if a user has permissions to view the diagnosis."""
<|body_0|>
def is_patient(self, patient):
"""Checks if the record belongs to the patient."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_007972 | 12,031 | no_license | [
{
"docstring": "Checks if a user has permissions to view the diagnosis.",
"name": "has_permission",
"signature": "def has_permission(self, healthcare)"
},
{
"docstring": "Checks if the record belongs to the patient.",
"name": "is_patient",
"signature": "def is_patient(self, patient)"
}... | 2 | stack_v2_sparse_classes_30k_train_042736 | Implement the Python class `Diagnosis` described below.
Class description:
Implement the Diagnosis class.
Method signatures and docstrings:
- def has_permission(self, healthcare): Checks if a user has permissions to view the diagnosis.
- def is_patient(self, patient): Checks if the record belongs to the patient. | Implement the Python class `Diagnosis` described below.
Class description:
Implement the Diagnosis class.
Method signatures and docstrings:
- def has_permission(self, healthcare): Checks if a user has permissions to view the diagnosis.
- def is_patient(self, patient): Checks if the record belongs to the patient.
<|s... | 685c2b9d40fb24ca1735352846a39fdf5d3728eb | <|skeleton|>
class Diagnosis:
def has_permission(self, healthcare):
"""Checks if a user has permissions to view the diagnosis."""
<|body_0|>
def is_patient(self, patient):
"""Checks if the record belongs to the patient."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Diagnosis:
def has_permission(self, healthcare):
"""Checks if a user has permissions to view the diagnosis."""
diagnosis = DiagnosisPerm.objects.filter(diag_id=self, username=healthcare, perm_value__in=[2, 3])
if diagnosis.count() == 0:
return False
else:
... | the_stack_v2_python_sparse | patientrecords/models.py | guekling/ifs4205team1 | train | 0 | |
fb0c05ebb32e77b11d660f3d185972a184811137 | [
"context = super(ThreadList, self).get_context_data(**kwargs)\ncontext['object_list'] = self.last_reads(context['object_list'], self.request.user)\ncontext['object_list'] = self.favorites(context['object_list'], self.request.user)\nreturn context",
"last_read = LastRead.objects.filter(thread__in=thread_list, user... | <|body_start_0|>
context = super(ThreadList, self).get_context_data(**kwargs)
context['object_list'] = self.last_reads(context['object_list'], self.request.user)
context['object_list'] = self.favorites(context['object_list'], self.request.user)
return context
<|end_body_0|>
<|body_start... | ThreadList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreadList:
def get_context_data(self, **kwargs):
"""set up extra context data"""
<|body_0|>
def last_reads(self, thread_list, user):
"""Annotate a queryset of threads with the last read status for a user. Add an unread boolean to each thread if it was read before ad... | stack_v2_sparse_classes_75kplus_train_007973 | 13,095 | no_license | [
{
"docstring": "set up extra context data",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Annotate a queryset of threads with the last read status for a user. Add an unread boolean to each thread if it was read before add a last_post_read id :... | 3 | stack_v2_sparse_classes_30k_train_006717 | Implement the Python class `ThreadList` described below.
Class description:
Implement the ThreadList class.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): set up extra context data
- def last_reads(self, thread_list, user): Annotate a queryset of threads with the last read status for a user... | Implement the Python class `ThreadList` described below.
Class description:
Implement the ThreadList class.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): set up extra context data
- def last_reads(self, thread_list, user): Annotate a queryset of threads with the last read status for a user... | 7753b617dba5d220fe655d80fe0699a54d9943e2 | <|skeleton|>
class ThreadList:
def get_context_data(self, **kwargs):
"""set up extra context data"""
<|body_0|>
def last_reads(self, thread_list, user):
"""Annotate a queryset of threads with the last read status for a user. Add an unread boolean to each thread if it was read before ad... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThreadList:
def get_context_data(self, **kwargs):
"""set up extra context data"""
context = super(ThreadList, self).get_context_data(**kwargs)
context['object_list'] = self.last_reads(context['object_list'], self.request.user)
context['object_list'] = self.favorites(context['ob... | the_stack_v2_python_sparse | arkestrator/board/views.py | adreyer/arkestrator | train | 1 | |
5a06abdd32f9ffd5d4256ef8a34c400ff2175f3f | [
"self.config_entry = config_entry\nself.options = dict(config_entry.options)\nself.blink = None",
"self.blink = self.hass.data[DOMAIN][self.config_entry.entry_id]\nself.options[CONF_SCAN_INTERVAL] = self.blink.refresh_rate\nreturn await self.async_step_simple_options()",
"if user_input is not None:\n self.op... | <|body_start_0|>
self.config_entry = config_entry
self.options = dict(config_entry.options)
self.blink = None
<|end_body_0|>
<|body_start_1|>
self.blink = self.hass.data[DOMAIN][self.config_entry.entry_id]
self.options[CONF_SCAN_INTERVAL] = self.blink.refresh_rate
return... | Handle Blink options. | BlinkOptionsFlowHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlinkOptionsFlowHandler:
"""Handle Blink options."""
def __init__(self, config_entry):
"""Initialize Blink options flow."""
<|body_0|>
async def async_step_init(self, user_input=None):
"""Manage the Blink options."""
<|body_1|>
async def async_step_s... | stack_v2_sparse_classes_75kplus_train_007974 | 5,114 | permissive | [
{
"docstring": "Initialize Blink options flow.",
"name": "__init__",
"signature": "def __init__(self, config_entry)"
},
{
"docstring": "Manage the Blink options.",
"name": "async_step_init",
"signature": "async def async_step_init(self, user_input=None)"
},
{
"docstring": "For si... | 3 | stack_v2_sparse_classes_30k_test_001762 | Implement the Python class `BlinkOptionsFlowHandler` described below.
Class description:
Handle Blink options.
Method signatures and docstrings:
- def __init__(self, config_entry): Initialize Blink options flow.
- async def async_step_init(self, user_input=None): Manage the Blink options.
- async def async_step_simpl... | Implement the Python class `BlinkOptionsFlowHandler` described below.
Class description:
Handle Blink options.
Method signatures and docstrings:
- def __init__(self, config_entry): Initialize Blink options flow.
- async def async_step_init(self, user_input=None): Manage the Blink options.
- async def async_step_simpl... | 4a65bed0eb9587d0374e03a267a2e630443a4065 | <|skeleton|>
class BlinkOptionsFlowHandler:
"""Handle Blink options."""
def __init__(self, config_entry):
"""Initialize Blink options flow."""
<|body_0|>
async def async_step_init(self, user_input=None):
"""Manage the Blink options."""
<|body_1|>
async def async_step_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BlinkOptionsFlowHandler:
"""Handle Blink options."""
def __init__(self, config_entry):
"""Initialize Blink options flow."""
self.config_entry = config_entry
self.options = dict(config_entry.options)
self.blink = None
async def async_step_init(self, user_input=None):
... | the_stack_v2_python_sparse | homeassistant/components/blink/config_flow.py | Oliver84/home-assistant | train | 4 |
c7cf466dae9557ed44cb788b0372903da3b0abe7 | [
"if not matrix or not matrix[0]:\n return False\nrows = len(matrix)\nwhile rows > 0:\n if matrix[rows - 1][0] < target:\n return self.bin_search(matrix[rows - 1], target)\n elif matrix[rows - 1][0] == target:\n return True\n else:\n rows -= 1\nreturn False",
"low, high = (0, len(d... | <|body_start_0|>
if not matrix or not matrix[0]:
return False
rows = len(matrix)
while rows > 0:
if matrix[rows - 1][0] < target:
return self.bin_search(matrix[rows - 1], target)
elif matrix[rows - 1][0] == target:
return True
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def searchMatrix(self, matrix, target):
""":type matrix: List[List[int]] :type target: int :rtype: bool"""
<|body_0|>
def bin_search(self, data, target):
""":type data: List[int] :type target: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_75kplus_train_007975 | 983 | no_license | [
{
"docstring": ":type matrix: List[List[int]] :type target: int :rtype: bool",
"name": "searchMatrix",
"signature": "def searchMatrix(self, matrix, target)"
},
{
"docstring": ":type data: List[int] :type target: int :rtype: bool",
"name": "bin_search",
"signature": "def bin_search(self, ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchMatrix(self, matrix, target): :type matrix: List[List[int]] :type target: int :rtype: bool
- def bin_search(self, data, target): :type data: List[int] :type target: int... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchMatrix(self, matrix, target): :type matrix: List[List[int]] :type target: int :rtype: bool
- def bin_search(self, data, target): :type data: List[int] :type target: int... | 74298f4674ae8e53ba1622df742ebced18b0bf1e | <|skeleton|>
class Solution:
def searchMatrix(self, matrix, target):
""":type matrix: List[List[int]] :type target: int :rtype: bool"""
<|body_0|>
def bin_search(self, data, target):
""":type data: List[int] :type target: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def searchMatrix(self, matrix, target):
""":type matrix: List[List[int]] :type target: int :rtype: bool"""
if not matrix or not matrix[0]:
return False
rows = len(matrix)
while rows > 0:
if matrix[rows - 1][0] < target:
return s... | the_stack_v2_python_sparse | 100/74.py | chinsun1/Python-LeetCode | train | 1 | |
c76bdeb34099414b91b0d717b82c3ec2f2ccfbbc | [
"Component.__init__(self)\nself.name = 'Compressor_default_name'\nself.bus_h2_in = None\nself.bus_h2_out = None\nself.bus_el = None\nself.m_flow_max = 33.6\nself.life_time = 20\nself.temp_in = 293.15\nself.efficiency = 0.88829\nself.set_parameters(params)\nself.spec_compression_energy = None\nself.R = 8.314\nself.M... | <|body_start_0|>
Component.__init__(self)
self.name = 'Compressor_default_name'
self.bus_h2_in = None
self.bus_h2_out = None
self.bus_el = None
self.m_flow_max = 33.6
self.life_time = 20
self.temp_in = 293.15
self.efficiency = 0.88829
self.... | :param name: unique name given to the compressor component :type name: str :param bus_h2_in: lower pressure hydrogen bus that is an input of the compressor :type bus_h2_in: str :param bus_el: electricity bus that is an input of the compressor :type bus_el: str :param bus_h2_out: higher pressure hydrogen bus that is the... | CompressorH2 | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CompressorH2:
""":param name: unique name given to the compressor component :type name: str :param bus_h2_in: lower pressure hydrogen bus that is an input of the compressor :type bus_h2_in: str :param bus_el: electricity bus that is an input of the compressor :type bus_el: str :param bus_h2_out: ... | stack_v2_sparse_classes_75kplus_train_007976 | 10,964 | permissive | [
{
"docstring": "Constructor method",
"name": "__init__",
"signature": "def __init__(self, params)"
},
{
"docstring": "Creates an oemof Transformer component using the information given in the CompressorH2 class, to be used in the oemof model :param busses: virtual buses used in the energy system... | 4 | stack_v2_sparse_classes_30k_train_007359 | Implement the Python class `CompressorH2` described below.
Class description:
:param name: unique name given to the compressor component :type name: str :param bus_h2_in: lower pressure hydrogen bus that is an input of the compressor :type bus_h2_in: str :param bus_el: electricity bus that is an input of the compresso... | Implement the Python class `CompressorH2` described below.
Class description:
:param name: unique name given to the compressor component :type name: str :param bus_h2_in: lower pressure hydrogen bus that is an input of the compressor :type bus_h2_in: str :param bus_el: electricity bus that is an input of the compresso... | 0d4d55d587c18d9e05258f85c1bb41c0b5fdaee7 | <|skeleton|>
class CompressorH2:
""":param name: unique name given to the compressor component :type name: str :param bus_h2_in: lower pressure hydrogen bus that is an input of the compressor :type bus_h2_in: str :param bus_el: electricity bus that is an input of the compressor :type bus_el: str :param bus_h2_out: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CompressorH2:
""":param name: unique name given to the compressor component :type name: str :param bus_h2_in: lower pressure hydrogen bus that is an input of the compressor :type bus_h2_in: str :param bus_el: electricity bus that is an input of the compressor :type bus_el: str :param bus_h2_out: higher pressu... | the_stack_v2_python_sparse | smooth/components/component_compressor_h2.py | rl-institut/smooth | train | 7 |
6469a7a1086027f9df84aebbbf0141e12095f29d | [
"self.min_heap = []\nself.max_heap = []\nself.size = 0",
"heapq.heappush(self.min_heap, num)\nif len(self.min_heap) - len(self.max_heap) > 1:\n ele = heapq.heappop(self.min_heap)\n heapq.heappush(self.max_heap, -ele)\nif self.min_heap and self.max_heap and (self.min_heap[0] < -self.max_heap[0]):\n ele = ... | <|body_start_0|>
self.min_heap = []
self.max_heap = []
self.size = 0
<|end_body_0|>
<|body_start_1|>
heapq.heappush(self.min_heap, num)
if len(self.min_heap) - len(self.max_heap) > 1:
ele = heapq.heappop(self.min_heap)
heapq.heappush(self.max_heap, -ele)
... | MedianFinder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: void"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_007977 | 1,200 | permissive | [
{
"docstring": "initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ":type num: int :rtype: void",
"name": "addNum",
"signature": "def addNum(self, num)"
},
{
"docstring": ":rtype: float",
"name": "findMedian",
"s... | 3 | stack_v2_sparse_classes_30k_train_052611 | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: void
- def findMedian(self): :rtype: float | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: void
- def findMedian(self): :rtype: float
<|skeleton|>
class Me... | 3719f5cb059eefd66b83eb8ae990652f4b7fd124 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: void"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
self.min_heap = []
self.max_heap = []
self.size = 0
def addNum(self, num):
""":type num: int :rtype: void"""
heapq.heappush(self.min_heap, num)
if len(self.min_heap) - len(... | the_stack_v2_python_sparse | Python3/0295-Find-Median-from-Data-Stream/soln.py | wyaadarsh/LeetCode-Solutions | train | 0 | |
5c65113d8fe3bf75317e6aaf727dbade145e3641 | [
"if not itvls:\n return []\nitvls.sort(key=lambda x: x.start)\nret = [itvls[0]]\nfor cur in itvls[1:]:\n pre = ret[-1]\n if cur.start <= pre.end:\n pre.end = max(pre.end, cur.end)\n else:\n ret.append(cur)\nreturn ret",
"if not itvls:\n return []\nret = [itvls[0]]\nfor interval in itv... | <|body_start_0|>
if not itvls:
return []
itvls.sort(key=lambda x: x.start)
ret = [itvls[0]]
for cur in itvls[1:]:
pre = ret[-1]
if cur.start <= pre.end:
pre.end = max(pre.end, cur.end)
else:
ret.append(cur)
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge(self, itvls):
"""scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval"""
<|body_0|>
def merge_error(self, itvls):
"""scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval"""
... | stack_v2_sparse_classes_75kplus_train_007978 | 2,093 | permissive | [
{
"docstring": "scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval",
"name": "merge",
"signature": "def merge(self, itvls)"
},
{
"docstring": "scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval",
"name": "merge_error... | 2 | stack_v2_sparse_classes_30k_train_031751 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, itvls): scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval
- def merge_error(self, itvls): scanning. No algorithm math :para... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, itvls): scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval
- def merge_error(self, itvls): scanning. No algorithm math :para... | cbbd4a67ab342ada2421e13f82d660b1d47d4d20 | <|skeleton|>
class Solution:
def merge(self, itvls):
"""scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval"""
<|body_0|>
def merge_error(self, itvls):
"""scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def merge(self, itvls):
"""scanning. No algorithm math :param itvls: a list of Interval :return: a list of Interval"""
if not itvls:
return []
itvls.sort(key=lambda x: x.start)
ret = [itvls[0]]
for cur in itvls[1:]:
pre = ret[-1]
... | the_stack_v2_python_sparse | 055 Merge Intervals.py | Aminaba123/LeetCode | train | 1 | |
5ac302d461e2c079be025e725c736f632e870d54 | [
"self.commander_window = commander_window\nself.font = QtGui.QFont(self)\nself.font.setBold(True)\nself.font.setWeight(75)\nself.setup_footer_panel()",
"self.create_footer_push_button('F3 View', 'F3')\nself.create_footer_push_button('F4 Edit', 'F4')\nself.create_footer_push_button('F5 Copy', 'F5')\nself.create_fo... | <|body_start_0|>
self.commander_window = commander_window
self.font = QtGui.QFont(self)
self.font.setBold(True)
self.font.setWeight(75)
self.setup_footer_panel()
<|end_body_0|>
<|body_start_1|>
self.create_footer_push_button('F3 View', 'F3')
self.create_footer_pu... | WindowFooterPanel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowFooterPanel:
def __init__(self, commander_window):
"""constructor initialize all footer panel elements Keyword arguments: :param commander_window: an initialized instance (parent main window) of CommanderWindow class"""
<|body_0|>
def setup_footer_panel(self):
... | stack_v2_sparse_classes_75kplus_train_007979 | 2,089 | no_license | [
{
"docstring": "constructor initialize all footer panel elements Keyword arguments: :param commander_window: an initialized instance (parent main window) of CommanderWindow class",
"name": "__init__",
"signature": "def __init__(self, commander_window)"
},
{
"docstring": "This method is meant to ... | 3 | stack_v2_sparse_classes_30k_train_027437 | Implement the Python class `WindowFooterPanel` described below.
Class description:
Implement the WindowFooterPanel class.
Method signatures and docstrings:
- def __init__(self, commander_window): constructor initialize all footer panel elements Keyword arguments: :param commander_window: an initialized instance (pare... | Implement the Python class `WindowFooterPanel` described below.
Class description:
Implement the WindowFooterPanel class.
Method signatures and docstrings:
- def __init__(self, commander_window): constructor initialize all footer panel elements Keyword arguments: :param commander_window: an initialized instance (pare... | 5f7ab5b39c1dc7d8d2182048c5d8eaff04de3d06 | <|skeleton|>
class WindowFooterPanel:
def __init__(self, commander_window):
"""constructor initialize all footer panel elements Keyword arguments: :param commander_window: an initialized instance (parent main window) of CommanderWindow class"""
<|body_0|>
def setup_footer_panel(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WindowFooterPanel:
def __init__(self, commander_window):
"""constructor initialize all footer panel elements Keyword arguments: :param commander_window: an initialized instance (parent main window) of CommanderWindow class"""
self.commander_window = commander_window
self.font = QtGui.Q... | the_stack_v2_python_sparse | views/window/window_footer_panel.py | jafi666/pyCommander | train | 0 | |
86756b8ec784b861af572de22246ebef3da7d1b0 | [
"self.logger = logger.SecureTeaLogger(__name__, debug=debug)\nself.sisp = OrderedDict()\nself.simp = OrderedDict()\nself.misp = OrderedDict()\nself.mimp = OrderedDict()\nself._THRESHOLD = 10000",
"if pkt.haslayer(scapy.IP) and pkt.haslayer(scapy.TCP):\n src_ip = pkt[scapy.IP].src\n dst_port = pkt[scapy.TCP]... | <|body_start_0|>
self.logger = logger.SecureTeaLogger(__name__, debug=debug)
self.sisp = OrderedDict()
self.simp = OrderedDict()
self.misp = OrderedDict()
self.mimp = OrderedDict()
self._THRESHOLD = 10000
<|end_body_0|>
<|body_start_1|>
if pkt.haslayer(scapy.IP) ... | Detect DDoS attacks. | DDoS | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DDoS:
"""Detect DDoS attacks."""
def __init__(self, debug=False):
"""Initialize DDoS attack detection. Args: None Raises: None Returns: None"""
<|body_0|>
def classify_ddos(self, pkt):
"""Classify DDoS attacks into the following: - SISP (Single IP Single Port) - ... | stack_v2_sparse_classes_75kplus_train_007980 | 6,794 | permissive | [
{
"docstring": "Initialize DDoS attack detection. Args: None Raises: None Returns: None",
"name": "__init__",
"signature": "def __init__(self, debug=False)"
},
{
"docstring": "Classify DDoS attacks into the following: - SISP (Single IP Single Port) - SIMP (Single IP Multiple Port) - MISP (Multip... | 6 | null | Implement the Python class `DDoS` described below.
Class description:
Detect DDoS attacks.
Method signatures and docstrings:
- def __init__(self, debug=False): Initialize DDoS attack detection. Args: None Raises: None Returns: None
- def classify_ddos(self, pkt): Classify DDoS attacks into the following: - SISP (Sing... | Implement the Python class `DDoS` described below.
Class description:
Detect DDoS attacks.
Method signatures and docstrings:
- def __init__(self, debug=False): Initialize DDoS attack detection. Args: None Raises: None Returns: None
- def classify_ddos(self, pkt): Classify DDoS attacks into the following: - SISP (Sing... | 43dec187e5848b9ced8a6b4957b6e9028d4d43cd | <|skeleton|>
class DDoS:
"""Detect DDoS attacks."""
def __init__(self, debug=False):
"""Initialize DDoS attack detection. Args: None Raises: None Returns: None"""
<|body_0|>
def classify_ddos(self, pkt):
"""Classify DDoS attacks into the following: - SISP (Single IP Single Port) - ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DDoS:
"""Detect DDoS attacks."""
def __init__(self, debug=False):
"""Initialize DDoS attack detection. Args: None Raises: None Returns: None"""
self.logger = logger.SecureTeaLogger(__name__, debug=debug)
self.sisp = OrderedDict()
self.simp = OrderedDict()
self.misp... | the_stack_v2_python_sparse | securetea/lib/ids/r2l_rules/ddos.py | rejahrehim/SecureTea-Project | train | 1 |
e22a5fe19f0ab111177ab5476441fbb3758b9014 | [
"self._test_start('test for Bay Area query by elevation')\nsd_test = [SeismicData(Point(-122.0322, 37.323, 0, UCVM_ELEVATION))]\nself.assertTrue(UCVM.query(sd_test, 'bayarea.elevation'))\nassert_velocity_properties(self, sd_test[0], VelocityProperties(1700.0, 390.0, 1990.0, 44.0, 22.0, 'bayarea', 'bayarea', 'bayare... | <|body_start_0|>
self._test_start('test for Bay Area query by elevation')
sd_test = [SeismicData(Point(-122.0322, 37.323, 0, UCVM_ELEVATION))]
self.assertTrue(UCVM.query(sd_test, 'bayarea.elevation'))
assert_velocity_properties(self, sd_test[0], VelocityProperties(1700.0, 390.0, 1990.0, ... | Defines the test cases for the Bay Area velocity model. Two tests are done: an acceptance test and a test query by elevation. | BayAreaVelocityModelTest | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BayAreaVelocityModelTest:
"""Defines the test cases for the Bay Area velocity model. Two tests are done: an acceptance test and a test query by elevation."""
def test_bayarea_basic_elevation(self):
"""Tests the Bay Area query capabilities using elevation. This uses the model's DEM, n... | stack_v2_sparse_classes_75kplus_train_007981 | 2,792 | permissive | [
{
"docstring": "Tests the Bay Area query capabilities using elevation. This uses the model's DEM, not the UCVM DEM. Returns: None",
"name": "test_bayarea_basic_elevation",
"signature": "def test_bayarea_basic_elevation(self)"
},
{
"docstring": "Runs the built-in acceptance test for the Bay Area ... | 2 | null | Implement the Python class `BayAreaVelocityModelTest` described below.
Class description:
Defines the test cases for the Bay Area velocity model. Two tests are done: an acceptance test and a test query by elevation.
Method signatures and docstrings:
- def test_bayarea_basic_elevation(self): Tests the Bay Area query c... | Implement the Python class `BayAreaVelocityModelTest` described below.
Class description:
Defines the test cases for the Bay Area velocity model. Two tests are done: an acceptance test and a test query by elevation.
Method signatures and docstrings:
- def test_bayarea_basic_elevation(self): Tests the Bay Area query c... | 716db787a1b5b444d791547eeca4e2a3ee613da1 | <|skeleton|>
class BayAreaVelocityModelTest:
"""Defines the test cases for the Bay Area velocity model. Two tests are done: an acceptance test and a test query by elevation."""
def test_bayarea_basic_elevation(self):
"""Tests the Bay Area query capabilities using elevation. This uses the model's DEM, n... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BayAreaVelocityModelTest:
"""Defines the test cases for the Bay Area velocity model. Two tests are done: an acceptance test and a test query by elevation."""
def test_bayarea_basic_elevation(self):
"""Tests the Bay Area query capabilities using elevation. This uses the model's DEM, not the UCVM D... | the_stack_v2_python_sparse | ucvm/models/velocity/bayarea/test_bayarea.py | meihuisu/UCVM-reallyOld | train | 0 |
67cb7e2b56f97472ceac685dd3afdb72c5def274 | [
"parser = parent.add_parser('kill', help='signal container')\nparser.add_argument('--signal', '-s', action=SignalAction, default=9, help='Signal to send to the container. (default: %(default)s)')\nparser.add_argument('containers', nargs='+', help='containers to signal')\nparser.set_defaults(class_=cls, method='kill... | <|body_start_0|>
parser = parent.add_parser('kill', help='signal container')
parser.add_argument('--signal', '-s', action=SignalAction, default=9, help='Signal to send to the container. (default: %(default)s)')
parser.add_argument('containers', nargs='+', help='containers to signal')
par... | Class for sending signal to main process in container. | Kill | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Kill:
"""Class for sending signal to main process in container."""
def subparser(cls, parent):
"""Add Kill command to parent parser."""
<|body_0|>
def kill(self):
"""Signal provided containers."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
par... | stack_v2_sparse_classes_75kplus_train_007982 | 1,598 | permissive | [
{
"docstring": "Add Kill command to parent parser.",
"name": "subparser",
"signature": "def subparser(cls, parent)"
},
{
"docstring": "Signal provided containers.",
"name": "kill",
"signature": "def kill(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003086 | Implement the Python class `Kill` described below.
Class description:
Class for sending signal to main process in container.
Method signatures and docstrings:
- def subparser(cls, parent): Add Kill command to parent parser.
- def kill(self): Signal provided containers. | Implement the Python class `Kill` described below.
Class description:
Class for sending signal to main process in container.
Method signatures and docstrings:
- def subparser(cls, parent): Add Kill command to parent parser.
- def kill(self): Signal provided containers.
<|skeleton|>
class Kill:
"""Class for sendi... | 94a46127cb0db2b6187186788a941ec72af476dd | <|skeleton|>
class Kill:
"""Class for sending signal to main process in container."""
def subparser(cls, parent):
"""Add Kill command to parent parser."""
<|body_0|>
def kill(self):
"""Signal provided containers."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Kill:
"""Class for sending signal to main process in container."""
def subparser(cls, parent):
"""Add Kill command to parent parser."""
parser = parent.add_parser('kill', help='signal container')
parser.add_argument('--signal', '-s', action=SignalAction, default=9, help='Signal to... | the_stack_v2_python_sparse | pypodman/pypodman/lib/actions/kill_action.py | 4383/python-podman | train | 0 |
f103c509968499a5e25f5c6103abdb79bcda558c | [
"validators = {_RESPONSE_PRINCIPAL_ID: LambdaAuthorizerIAMPolicyPropertyValidator(_RESPONSE_PRINCIPAL_ID, [str]), _RESPONSE_POLICY_DOCUMENT: LambdaAuthorizerIAMPolicyPropertyValidator(_RESPONSE_POLICY_DOCUMENT, [dict])}\nfor prop_name, validator in validators.items():\n if not validator.is_valid(response):\n ... | <|body_start_0|>
validators = {_RESPONSE_PRINCIPAL_ID: LambdaAuthorizerIAMPolicyPropertyValidator(_RESPONSE_PRINCIPAL_ID, [str]), _RESPONSE_POLICY_DOCUMENT: LambdaAuthorizerIAMPolicyPropertyValidator(_RESPONSE_POLICY_DOCUMENT, [dict])}
for prop_name, validator in validators.items():
if not v... | LambdaAuthorizerIAMPolicyValidator | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LambdaAuthorizerIAMPolicyValidator:
def validate_policy_document(auth_name: str, response: dict) -> None:
"""Validate the properties of a Lambda authorizer response at the root level Parameters ---------- auth_name: str Name of the authorizer response: dict The response output from the L... | stack_v2_sparse_classes_75kplus_train_007983 | 18,712 | permissive | [
{
"docstring": "Validate the properties of a Lambda authorizer response at the root level Parameters ---------- auth_name: str Name of the authorizer response: dict The response output from the Lambda authorizer (should be in IAM format)",
"name": "validate_policy_document",
"signature": "def validate_p... | 2 | null | Implement the Python class `LambdaAuthorizerIAMPolicyValidator` described below.
Class description:
Implement the LambdaAuthorizerIAMPolicyValidator class.
Method signatures and docstrings:
- def validate_policy_document(auth_name: str, response: dict) -> None: Validate the properties of a Lambda authorizer response ... | Implement the Python class `LambdaAuthorizerIAMPolicyValidator` described below.
Class description:
Implement the LambdaAuthorizerIAMPolicyValidator class.
Method signatures and docstrings:
- def validate_policy_document(auth_name: str, response: dict) -> None: Validate the properties of a Lambda authorizer response ... | b297ff015f2b69d7c74059c2d42ece1c29ea73ee | <|skeleton|>
class LambdaAuthorizerIAMPolicyValidator:
def validate_policy_document(auth_name: str, response: dict) -> None:
"""Validate the properties of a Lambda authorizer response at the root level Parameters ---------- auth_name: str Name of the authorizer response: dict The response output from the L... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LambdaAuthorizerIAMPolicyValidator:
def validate_policy_document(auth_name: str, response: dict) -> None:
"""Validate the properties of a Lambda authorizer response at the root level Parameters ---------- auth_name: str Name of the authorizer response: dict The response output from the Lambda authoriz... | the_stack_v2_python_sparse | samcli/local/apigw/authorizers/lambda_authorizer.py | aws/aws-sam-cli | train | 1,402 | |
7624c88e0535d23d0cf7b1da1706af02503f574c | [
"self.lr = lr\nself.gamma = gamma\nself.model = model\nself.optimizer = optim.Adam(model.parameters(), lr=self.lr)\nself.criterion = nn.MSELoss()",
"state = torch.tensor(state, dtype=torch.float)\nnextState = torch.tensor(nextState, dtype=torch.float)\nfinalAction = torch.tensor(finalAction, dtype=torch.float)\nr... | <|body_start_0|>
self.lr = lr
self.gamma = gamma
self.model = model
self.optimizer = optim.Adam(model.parameters(), lr=self.lr)
self.criterion = nn.MSELoss()
<|end_body_0|>
<|body_start_1|>
state = torch.tensor(state, dtype=torch.float)
nextState = torch.tensor(n... | class : QTrainer purpose : Trainer for the Q learning | QTrainer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QTrainer:
"""class : QTrainer purpose : Trainer for the Q learning"""
def __init__(self, model, lr, gamma):
"""Creates an instance of the QTrainer :param model: The model being used :param lr: The learning rate value :param gamma: The gamma value"""
<|body_0|>
def trainS... | stack_v2_sparse_classes_75kplus_train_007984 | 3,381 | no_license | [
{
"docstring": "Creates an instance of the QTrainer :param model: The model being used :param lr: The learning rate value :param gamma: The gamma value",
"name": "__init__",
"signature": "def __init__(self, model, lr, gamma)"
},
{
"docstring": "Computes one step of training :return:",
"name"... | 2 | stack_v2_sparse_classes_30k_train_023598 | Implement the Python class `QTrainer` described below.
Class description:
class : QTrainer purpose : Trainer for the Q learning
Method signatures and docstrings:
- def __init__(self, model, lr, gamma): Creates an instance of the QTrainer :param model: The model being used :param lr: The learning rate value :param gam... | Implement the Python class `QTrainer` described below.
Class description:
class : QTrainer purpose : Trainer for the Q learning
Method signatures and docstrings:
- def __init__(self, model, lr, gamma): Creates an instance of the QTrainer :param model: The model being used :param lr: The learning rate value :param gam... | b6c1fe531e6876e431a29f86cee16cfc4891577c | <|skeleton|>
class QTrainer:
"""class : QTrainer purpose : Trainer for the Q learning"""
def __init__(self, model, lr, gamma):
"""Creates an instance of the QTrainer :param model: The model being used :param lr: The learning rate value :param gamma: The gamma value"""
<|body_0|>
def trainS... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QTrainer:
"""class : QTrainer purpose : Trainer for the Q learning"""
def __init__(self, model, lr, gamma):
"""Creates an instance of the QTrainer :param model: The model being used :param lr: The learning rate value :param gamma: The gamma value"""
self.lr = lr
self.gamma = gamma... | the_stack_v2_python_sparse | Model.py | Curtin-Machine-Learning-Club/SnakeAI | train | 1 |
a8e68d70111dfd5f6f586d5f64f4cc906af7e865 | [
"stack = []\nwhile head is not None:\n stack.append(head)\n head = head.next\nres = dummy = ListNode(None)\nwhile len(stack) > 0:\n res.next = stack.pop()\n res = res.next\nres.next = None\nreturn dummy.next",
"if head == None or head.next == None:\n return head\np = self.reverseList(head.next)\nhe... | <|body_start_0|>
stack = []
while head is not None:
stack.append(head)
head = head.next
res = dummy = ListNode(None)
while len(stack) > 0:
res.next = stack.pop()
res = res.next
res.next = None
return dummy.next
<|end_body_0|... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def naive_reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def recur_reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
def reverseList(self, head):
""":type head: ListNode :rt... | stack_v2_sparse_classes_75kplus_train_007985 | 1,784 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "naive_reverseList",
"signature": "def naive_reverseList(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "recur_reverseList",
"signature": "def recur_reverseList(self, head)"
},
{
"doc... | 3 | stack_v2_sparse_classes_30k_train_054409 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def naive_reverseList(self, head): :type head: ListNode :rtype: ListNode
- def recur_reverseList(self, head): :type head: ListNode :rtype: ListNode
- def reverseList(self, head):... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def naive_reverseList(self, head): :type head: ListNode :rtype: ListNode
- def recur_reverseList(self, head): :type head: ListNode :rtype: ListNode
- def reverseList(self, head):... | 9746205998338fb4d7fd51300a21149c4181fc8f | <|skeleton|>
class Solution:
def naive_reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def recur_reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
def reverseList(self, head):
""":type head: ListNode :rt... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def naive_reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
stack = []
while head is not None:
stack.append(head)
head = head.next
res = dummy = ListNode(None)
while len(stack) > 0:
res.next = stack.pop()
... | the_stack_v2_python_sparse | leetcode/linkedList/6_reverse_list.py | RuizhenMai/academic-blog | train | 0 | |
a39b21b56036fff078141ae0535dedfc23758f0e | [
"self.game_status = game_status\nself.frame = Frame(self.game_status)\nself.paddle = Paddle(self.frame)\nself.brick_layout = select_layout(self.game_status.get_stage(), self.frame)\nself.ball = Ball(self.frame, self.paddle, self.brick_layout)\nself.frame.display()\ntic = time()\nwhile True:\n flag = False\n t... | <|body_start_0|>
self.game_status = game_status
self.frame = Frame(self.game_status)
self.paddle = Paddle(self.frame)
self.brick_layout = select_layout(self.game_status.get_stage(), self.frame)
self.ball = Ball(self.frame, self.paddle, self.brick_layout)
self.frame.displa... | Manager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Manager:
def __init__(self, game_status):
"""construct the walls, paddle, ball and frame"""
<|body_0|>
def schedular(self, flag):
"""Order of execution at each iteration."""
<|body_1|>
def user_input(self):
"""Getting input from the user for padd... | stack_v2_sparse_classes_75kplus_train_007986 | 2,219 | no_license | [
{
"docstring": "construct the walls, paddle, ball and frame",
"name": "__init__",
"signature": "def __init__(self, game_status)"
},
{
"docstring": "Order of execution at each iteration.",
"name": "schedular",
"signature": "def schedular(self, flag)"
},
{
"docstring": "Getting inp... | 3 | stack_v2_sparse_classes_30k_train_053209 | Implement the Python class `Manager` described below.
Class description:
Implement the Manager class.
Method signatures and docstrings:
- def __init__(self, game_status): construct the walls, paddle, ball and frame
- def schedular(self, flag): Order of execution at each iteration.
- def user_input(self): Getting inpu... | Implement the Python class `Manager` described below.
Class description:
Implement the Manager class.
Method signatures and docstrings:
- def __init__(self, game_status): construct the walls, paddle, ball and frame
- def schedular(self, flag): Order of execution at each iteration.
- def user_input(self): Getting inpu... | c4cd10f631aba51d290395dec446850a0fbfe1b5 | <|skeleton|>
class Manager:
def __init__(self, game_status):
"""construct the walls, paddle, ball and frame"""
<|body_0|>
def schedular(self, flag):
"""Order of execution at each iteration."""
<|body_1|>
def user_input(self):
"""Getting input from the user for padd... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Manager:
def __init__(self, game_status):
"""construct the walls, paddle, ball and frame"""
self.game_status = game_status
self.frame = Frame(self.game_status)
self.paddle = Paddle(self.frame)
self.brick_layout = select_layout(self.game_status.get_stage(), self.frame)
... | the_stack_v2_python_sparse | v1/manager.py | ayushsharma-crypto/Brick-Breaker-Terminal-Based-Game | train | 0 | |
a5b6d6e3deeb7fbdb7824467544d34fcee5502fb | [
"amount_secured = '100'\ninterest_paid_indicator = 'No'\nFinancialChargeDetailsValidator.validate(amount_secured, interest_paid_indicator, '')\ncalls = [call(amount_secured, 'amount-secured', 'Amount originally secured', mock_error_builder(), summary_message='Amount is required', inline_message=\"If you don't know ... | <|body_start_0|>
amount_secured = '100'
interest_paid_indicator = 'No'
FinancialChargeDetailsValidator.validate(amount_secured, interest_paid_indicator, '')
calls = [call(amount_secured, 'amount-secured', 'Amount originally secured', mock_error_builder(), summary_message='Amount is requi... | TestFinancialChargeDetailsValidator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFinancialChargeDetailsValidator:
def test_min_params_passed(self, mock_field_validator, mock_error_builder):
"""should pass the given parameter to the fieldset validator and call the expected validations"""
<|body_0|>
def test_max_params_passed(self, mock_field_validator... | stack_v2_sparse_classes_75kplus_train_007987 | 6,886 | permissive | [
{
"docstring": "should pass the given parameter to the fieldset validator and call the expected validations",
"name": "test_min_params_passed",
"signature": "def test_min_params_passed(self, mock_field_validator, mock_error_builder)"
},
{
"docstring": "should pass the given parameter to the fiel... | 6 | stack_v2_sparse_classes_30k_train_051242 | Implement the Python class `TestFinancialChargeDetailsValidator` described below.
Class description:
Implement the TestFinancialChargeDetailsValidator class.
Method signatures and docstrings:
- def test_min_params_passed(self, mock_field_validator, mock_error_builder): should pass the given parameter to the fieldset ... | Implement the Python class `TestFinancialChargeDetailsValidator` described below.
Class description:
Implement the TestFinancialChargeDetailsValidator class.
Method signatures and docstrings:
- def test_min_params_passed(self, mock_field_validator, mock_error_builder): should pass the given parameter to the fieldset ... | d92446a9972ebbcd9a43a7a7444a528aa2f30bf7 | <|skeleton|>
class TestFinancialChargeDetailsValidator:
def test_min_params_passed(self, mock_field_validator, mock_error_builder):
"""should pass the given parameter to the fieldset validator and call the expected validations"""
<|body_0|>
def test_max_params_passed(self, mock_field_validator... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestFinancialChargeDetailsValidator:
def test_min_params_passed(self, mock_field_validator, mock_error_builder):
"""should pass the given parameter to the fieldset validator and call the expected validations"""
amount_secured = '100'
interest_paid_indicator = 'No'
FinancialChar... | the_stack_v2_python_sparse | unit_tests/Add_land_charge/validation/test_financial_charge_details_validator.py | uk-gov-mirror/LandRegistry.maintain-frontend | train | 0 | |
2025d3b36c3d93ec16bf201f367666be402c1ec8 | [
"conform = getattr(obj, '__conform__', None)\nif conform is not None:\n adapter = self._call_conform(conform)\n if adapter is not None:\n return adapter\nadapter = self.__adapt__(obj)\nif adapter is not None:\n return adapter\nelif alternate is not _marker:\n return alternate\nelse:\n raise Ty... | <|body_start_0|>
conform = getattr(obj, '__conform__', None)
if conform is not None:
adapter = self._call_conform(conform)
if adapter is not None:
return adapter
adapter = self.__adapt__(obj)
if adapter is not None:
return adapter
... | Base class that wants to be replaced with a C base :) | InterfaceBasePy | [
"Apache-2.0",
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InterfaceBasePy:
"""Base class that wants to be replaced with a C base :)"""
def __call__(self, obj, alternate=_marker):
"""Adapt an object to the interface"""
<|body_0|>
def __adapt__(self, obj):
"""Adapt an object to the reciever"""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus_train_007988 | 20,297 | permissive | [
{
"docstring": "Adapt an object to the interface",
"name": "__call__",
"signature": "def __call__(self, obj, alternate=_marker)"
},
{
"docstring": "Adapt an object to the reciever",
"name": "__adapt__",
"signature": "def __adapt__(self, obj)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016799 | Implement the Python class `InterfaceBasePy` described below.
Class description:
Base class that wants to be replaced with a C base :)
Method signatures and docstrings:
- def __call__(self, obj, alternate=_marker): Adapt an object to the interface
- def __adapt__(self, obj): Adapt an object to the reciever | Implement the Python class `InterfaceBasePy` described below.
Class description:
Base class that wants to be replaced with a C base :)
Method signatures and docstrings:
- def __call__(self, obj, alternate=_marker): Adapt an object to the interface
- def __adapt__(self, obj): Adapt an object to the reciever
<|skeleto... | 05dbd4575d01a213f3f4d69aa4968473f2536142 | <|skeleton|>
class InterfaceBasePy:
"""Base class that wants to be replaced with a C base :)"""
def __call__(self, obj, alternate=_marker):
"""Adapt an object to the interface"""
<|body_0|>
def __adapt__(self, obj):
"""Adapt an object to the reciever"""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InterfaceBasePy:
"""Base class that wants to be replaced with a C base :)"""
def __call__(self, obj, alternate=_marker):
"""Adapt an object to the interface"""
conform = getattr(obj, '__conform__', None)
if conform is not None:
adapter = self._call_conform(conform)
... | the_stack_v2_python_sparse | plugins/hg4idea/testData/bin/mercurial/thirdparty/zope/interface/interface.py | JetBrains/intellij-community | train | 16,288 |
6ef5ce35065c087b6974e420484d7e25523a11c4 | [
"config_dict = utils.read_config_dict('FlickrCommunicator')\nself.flickr = FlickrAPI(config_dict['api_key'], config_dict['api_secret'])\nself.app_name = config_dict['app_name']\ntoken, frob = self.flickr.get_token_part_one(perms='write')\nif not token:\n raw_input('Press ENTER after you authorized this program')... | <|body_start_0|>
config_dict = utils.read_config_dict('FlickrCommunicator')
self.flickr = FlickrAPI(config_dict['api_key'], config_dict['api_secret'])
self.app_name = config_dict['app_name']
token, frob = self.flickr.get_token_part_one(perms='write')
if not token:
raw... | The interface to the Flickr API. Attributes: flickr: The FlickrAPI object that allows communication with Flickr services. app_name: The application name to be assoicated with the uploaded images. | FlickrCommunicator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlickrCommunicator:
"""The interface to the Flickr API. Attributes: flickr: The FlickrAPI object that allows communication with Flickr services. app_name: The application name to be assoicated with the uploaded images."""
def __init__(self):
"""Initializes the link between this app a... | stack_v2_sparse_classes_75kplus_train_007989 | 6,214 | permissive | [
{
"docstring": "Initializes the link between this app and Flickr API using stored configuration values. Due to the way the Flickr API authorizes, the first time a set of credentials are used on a given system, this must be initialized within a context that allows a browser window to open and username and passwo... | 3 | stack_v2_sparse_classes_30k_train_000852 | Implement the Python class `FlickrCommunicator` described below.
Class description:
The interface to the Flickr API. Attributes: flickr: The FlickrAPI object that allows communication with Flickr services. app_name: The application name to be assoicated with the uploaded images.
Method signatures and docstrings:
- de... | Implement the Python class `FlickrCommunicator` described below.
Class description:
The interface to the Flickr API. Attributes: flickr: The FlickrAPI object that allows communication with Flickr services. app_name: The application name to be assoicated with the uploaded images.
Method signatures and docstrings:
- de... | 19e44a017590e2d86e2e933d38a15a0d0b82a50a | <|skeleton|>
class FlickrCommunicator:
"""The interface to the Flickr API. Attributes: flickr: The FlickrAPI object that allows communication with Flickr services. app_name: The application name to be assoicated with the uploaded images."""
def __init__(self):
"""Initializes the link between this app a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlickrCommunicator:
"""The interface to the Flickr API. Attributes: flickr: The FlickrAPI object that allows communication with Flickr services. app_name: The application name to be assoicated with the uploaded images."""
def __init__(self):
"""Initializes the link between this app and Flickr API... | the_stack_v2_python_sparse | src/production_files/receivers/flickr_receiver.py | CraigBryan/pellinglab_twitter_microscope | train | 0 |
8f67d59da3bc32ceb80cb28e394e6aca85cb7f3c | [
"if version:\n if version == 4:\n return Command.executeIp(logger, IpConstant.IPV4, IpOption.NEIGHBOUR, IpAction.SHOW)\n elif version == 6:\n return Command.executeIp(logger, IpConstant.IPV6, IpOption.NEIGHBOUR, IpAction.SHOW)\nrc = Command.executeIp(logger, IpOption.NEIGHBOUR, IpAction.SHOW)\nr... | <|body_start_0|>
if version:
if version == 4:
return Command.executeIp(logger, IpConstant.IPV4, IpOption.NEIGHBOUR, IpAction.SHOW)
elif version == 6:
return Command.executeIp(logger, IpConstant.IPV6, IpOption.NEIGHBOUR, IpAction.SHOW)
rc = Command.... | IpNeighbour | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IpNeighbour:
def showNeighbours(logger, version=None):
"""This function list neighbour entries Args: logger version - IPv4 or IPv6 as an integer, 4 or 6 Return: tuple (rc, stdout, stderr) Raise: None"""
<|body_0|>
def showNeighboursByDevice(logger, device, version=None):
... | stack_v2_sparse_classes_75kplus_train_007990 | 10,343 | no_license | [
{
"docstring": "This function list neighbour entries Args: logger version - IPv4 or IPv6 as an integer, 4 or 6 Return: tuple (rc, stdout, stderr) Raise: None",
"name": "showNeighbours",
"signature": "def showNeighbours(logger, version=None)"
},
{
"docstring": "This function list neighbour entrie... | 2 | stack_v2_sparse_classes_30k_train_028690 | Implement the Python class `IpNeighbour` described below.
Class description:
Implement the IpNeighbour class.
Method signatures and docstrings:
- def showNeighbours(logger, version=None): This function list neighbour entries Args: logger version - IPv4 or IPv6 as an integer, 4 or 6 Return: tuple (rc, stdout, stderr) ... | Implement the Python class `IpNeighbour` described below.
Class description:
Implement the IpNeighbour class.
Method signatures and docstrings:
- def showNeighbours(logger, version=None): This function list neighbour entries Args: logger version - IPv4 or IPv6 as an integer, 4 or 6 Return: tuple (rc, stdout, stderr) ... | 81bcc74fe7c0ca036ec483f634d7be0bab19a6d0 | <|skeleton|>
class IpNeighbour:
def showNeighbours(logger, version=None):
"""This function list neighbour entries Args: logger version - IPv4 or IPv6 as an integer, 4 or 6 Return: tuple (rc, stdout, stderr) Raise: None"""
<|body_0|>
def showNeighboursByDevice(logger, device, version=None):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IpNeighbour:
def showNeighbours(logger, version=None):
"""This function list neighbour entries Args: logger version - IPv4 or IPv6 as an integer, 4 or 6 Return: tuple (rc, stdout, stderr) Raise: None"""
if version:
if version == 4:
return Command.executeIp(logger, I... | the_stack_v2_python_sparse | oscar/a/sys/net/lnx/neighbour.py | afeset/miner2-tools | train | 0 | |
93353e6ef5ef35255e4db3df24b7ce401b5b8e4b | [
"for profile in orm.Profile.objects.filter(school_staff=True).filter(code__isnull=True).select_related('user'):\n profile.code = generate_code(profile.user.username)\n profile.save()",
"for profile in orm.Profile.objects.filter(school_staff=True).filter(code__isnull=False):\n profile.code = None\n pro... | <|body_start_0|>
for profile in orm.Profile.objects.filter(school_staff=True).filter(code__isnull=True).select_related('user'):
profile.code = generate_code(profile.user.username)
profile.save()
<|end_body_0|>
<|body_start_1|>
for profile in orm.Profile.objects.filter(school_sta... | Migration | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Migration:
def forwards(self, orm):
"""Write your forwards methods here."""
<|body_0|>
def backwards(self, orm):
"""Write your backwards methods here."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for profile in orm.Profile.objects.filter(school_s... | stack_v2_sparse_classes_75kplus_train_007991 | 5,844 | no_license | [
{
"docstring": "Write your forwards methods here.",
"name": "forwards",
"signature": "def forwards(self, orm)"
},
{
"docstring": "Write your backwards methods here.",
"name": "backwards",
"signature": "def backwards(self, orm)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003343 | Implement the Python class `Migration` described below.
Class description:
Implement the Migration class.
Method signatures and docstrings:
- def forwards(self, orm): Write your forwards methods here.
- def backwards(self, orm): Write your backwards methods here. | Implement the Python class `Migration` described below.
Class description:
Implement the Migration class.
Method signatures and docstrings:
- def forwards(self, orm): Write your forwards methods here.
- def backwards(self, orm): Write your backwards methods here.
<|skeleton|>
class Migration:
def forwards(self,... | ffa893d47aa8065c0f5809fe765fcde5772e31f6 | <|skeleton|>
class Migration:
def forwards(self, orm):
"""Write your forwards methods here."""
<|body_0|>
def backwards(self, orm):
"""Write your backwards methods here."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Migration:
def forwards(self, orm):
"""Write your forwards methods here."""
for profile in orm.Profile.objects.filter(school_staff=True).filter(code__isnull=True).select_related('user'):
profile.code = generate_code(profile.user.username)
profile.save()
def backwar... | the_stack_v2_python_sparse | portfoliyo/model/users/migrations/0007_populate_codes.py | denis-sukhoverkhov/portfoliyo | train | 0 | |
abcf12560d830e4cf2f98426d548045402898f50 | [
"super(LSTMPredictionModel, self).__init__()\nself._encoder = tf.keras.layers.LSTM(num_units, name='encoder', dtype=self.dtype, return_state=True)\nself._decoder = tf.keras.layers.LSTM(num_units, name='decoder', dtype=self.dtype, return_sequences=True)\nself._mean_transform = tf.keras.layers.Dense(num_features, nam... | <|body_start_0|>
super(LSTMPredictionModel, self).__init__()
self._encoder = tf.keras.layers.LSTM(num_units, name='encoder', dtype=self.dtype, return_state=True)
self._decoder = tf.keras.layers.LSTM(num_units, name='decoder', dtype=self.dtype, return_sequences=True)
self._mean_transform ... | A simple encoder/decoder model using an LSTM. This model does not operate on its own, but rather is a plugin to `ARModel`. See `ARModel`'s constructor documentation (`prediction_model_factory`) for a usage example. | LSTMPredictionModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMPredictionModel:
"""A simple encoder/decoder model using an LSTM. This model does not operate on its own, but rather is a plugin to `ARModel`. See `ARModel`'s constructor documentation (`prediction_model_factory`) for a usage example."""
def __init__(self, num_features, input_window_size... | stack_v2_sparse_classes_75kplus_train_007992 | 38,336 | permissive | [
{
"docstring": "Construct the LSTM prediction model. Args: num_features: number of input features per time step. input_window_size: Number of past time steps of data to look at when doing the regression. output_window_size: Number of future time steps to predict. Note that setting it to > 1 empirically seems to... | 2 | stack_v2_sparse_classes_30k_train_022082 | Implement the Python class `LSTMPredictionModel` described below.
Class description:
A simple encoder/decoder model using an LSTM. This model does not operate on its own, but rather is a plugin to `ARModel`. See `ARModel`'s constructor documentation (`prediction_model_factory`) for a usage example.
Method signatures ... | Implement the Python class `LSTMPredictionModel` described below.
Class description:
A simple encoder/decoder model using an LSTM. This model does not operate on its own, but rather is a plugin to `ARModel`. See `ARModel`'s constructor documentation (`prediction_model_factory`) for a usage example.
Method signatures ... | 359acd5314462c05ef97f9a820d4ace876550c7e | <|skeleton|>
class LSTMPredictionModel:
"""A simple encoder/decoder model using an LSTM. This model does not operate on its own, but rather is a plugin to `ARModel`. See `ARModel`'s constructor documentation (`prediction_model_factory`) for a usage example."""
def __init__(self, num_features, input_window_size... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LSTMPredictionModel:
"""A simple encoder/decoder model using an LSTM. This model does not operate on its own, but rather is a plugin to `ARModel`. See `ARModel`'s constructor documentation (`prediction_model_factory`) for a usage example."""
def __init__(self, num_features, input_window_size, output_wind... | the_stack_v2_python_sparse | tensorflow_estimator/python/estimator/canned/timeseries/ar_model.py | tensorflow/estimator | train | 331 |
ecda838d960251a9ad3c4820c6750990d3eb2343 | [
"if not head or not head.next:\n return head\nhead_next = self.reverseList(head.next)\nhead.next.next = head\nhead.next = None\nreturn head_next",
"if not head:\n return None\nprev, cur = (None, head)\nwhile cur:\n third = cur.next\n cur.next = prev\n prev = cur\n cur = third\nreturn prev"
] | <|body_start_0|>
if not head or not head.next:
return head
head_next = self.reverseList(head.next)
head.next.next = head
head.next = None
return head_next
<|end_body_0|>
<|body_start_1|>
if not head:
return None
prev, cur = (None, head)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
"""递归算法 :param head: :return:"""
<|body_0|>
def reverseList1(self, head: ListNode) -> ListNode:
"""迭代算法 :param head: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head or... | stack_v2_sparse_classes_75kplus_train_007993 | 1,694 | no_license | [
{
"docstring": "递归算法 :param head: :return:",
"name": "reverseList",
"signature": "def reverseList(self, head: ListNode) -> ListNode"
},
{
"docstring": "迭代算法 :param head: :return:",
"name": "reverseList1",
"signature": "def reverseList1(self, head: ListNode) -> ListNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_028817 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head: ListNode) -> ListNode: 递归算法 :param head: :return:
- def reverseList1(self, head: ListNode) -> ListNode: 迭代算法 :param head: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head: ListNode) -> ListNode: 递归算法 :param head: :return:
- def reverseList1(self, head: ListNode) -> ListNode: 迭代算法 :param head: :return:
<|skeleton|>
class... | 9acba92695c06406f12f997a720bfe1deb9464a8 | <|skeleton|>
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
"""递归算法 :param head: :return:"""
<|body_0|>
def reverseList1(self, head: ListNode) -> ListNode:
"""迭代算法 :param head: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverseList(self, head: ListNode) -> ListNode:
"""递归算法 :param head: :return:"""
if not head or not head.next:
return head
head_next = self.reverseList(head.next)
head.next.next = head
head.next = None
return head_next
def reverseLi... | the_stack_v2_python_sparse | datastructure/linked_list/ReverseList.py | yinhuax/leet_code | train | 0 | |
6686b9ffc6573f146a957b5eb063297d49c57622 | [
"result = {'result': 'NG', 'content': ''}\nctrl_doc = CtrlDsDoc()\ndoc_data = ctrl_doc.get_ds_doc(doc_id)\nif doc_data:\n result['result'] = 'OK'\n result['content'] = doc_data\nelse:\n result['error'] = '该文档不存在！'\nreturn result",
"data_json = request.get_json()\nresult = {'result': 'NG', 'error': ''}\nd... | <|body_start_0|>
result = {'result': 'NG', 'content': ''}
ctrl_doc = CtrlDsDoc()
doc_data = ctrl_doc.get_ds_doc(doc_id)
if doc_data:
result['result'] = 'OK'
result['content'] = doc_data
else:
result['error'] = '该文档不存在！'
return result
<|... | ApiNewDSDoc | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApiNewDSDoc:
def get(self, doc_id):
"""查看基本/详细设计信息 :param doc_id: :return:"""
<|body_0|>
def post(self):
"""新增设计文档 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result = {'result': 'NG', 'content': ''}
ctrl_doc = CtrlDsDoc()
... | stack_v2_sparse_classes_75kplus_train_007994 | 31,026 | no_license | [
{
"docstring": "查看基本/详细设计信息 :param doc_id: :return:",
"name": "get",
"signature": "def get(self, doc_id)"
},
{
"docstring": "新增设计文档 :return:",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_052308 | Implement the Python class `ApiNewDSDoc` described below.
Class description:
Implement the ApiNewDSDoc class.
Method signatures and docstrings:
- def get(self, doc_id): 查看基本/详细设计信息 :param doc_id: :return:
- def post(self): 新增设计文档 :return: | Implement the Python class `ApiNewDSDoc` described below.
Class description:
Implement the ApiNewDSDoc class.
Method signatures and docstrings:
- def get(self, doc_id): 查看基本/详细设计信息 :param doc_id: :return:
- def post(self): 新增设计文档 :return:
<|skeleton|>
class ApiNewDSDoc:
def get(self, doc_id):
"""查看基本/详细... | 64b31e7bdfcb8a4c95f0a8a607f0bcff576cec11 | <|skeleton|>
class ApiNewDSDoc:
def get(self, doc_id):
"""查看基本/详细设计信息 :param doc_id: :return:"""
<|body_0|>
def post(self):
"""新增设计文档 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ApiNewDSDoc:
def get(self, doc_id):
"""查看基本/详细设计信息 :param doc_id: :return:"""
result = {'result': 'NG', 'content': ''}
ctrl_doc = CtrlDsDoc()
doc_data = ctrl_doc.get_ds_doc(doc_id)
if doc_data:
result['result'] = 'OK'
result['content'] = doc_data... | the_stack_v2_python_sparse | Source/collaboration_2/app/api_1_0/api_ds_doc.py | lsn1183/web_project | train | 0 | |
5adf9955f31264db3543ee2bfb31382d184bbb69 | [
"try:\n ilp.solve(pulp.GLPK())\n assert round(pulp.value(ilp.objective), 0) == 5\nexcept pulp.solvers.PulpSolverError:\n pytest.fail(f'Solver not installed')",
"try:\n ilp.solve(pulp.COIN())\n assert round(pulp.value(ilp.objective), 0) == 5\nexcept pulp.solvers.PulpSolverError:\n pytest.fail(f'S... | <|body_start_0|>
try:
ilp.solve(pulp.GLPK())
assert round(pulp.value(ilp.objective), 0) == 5
except pulp.solvers.PulpSolverError:
pytest.fail(f'Solver not installed')
<|end_body_0|>
<|body_start_1|>
try:
ilp.solve(pulp.COIN())
assert r... | Test Installed Solvers. | TestSolver | [
"LicenseRef-scancode-proprietary-license",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSolver:
"""Test Installed Solvers."""
def test_glpk(self, ilp):
"""Test method for GLPK."""
<|body_0|>
def test_cbc(self, ilp):
"""Test method for CBC."""
<|body_1|>
def test_cplex(self, ilp):
"""Test method for CPLEX."""
<|body_2... | stack_v2_sparse_classes_75kplus_train_007995 | 1,770 | permissive | [
{
"docstring": "Test method for GLPK.",
"name": "test_glpk",
"signature": "def test_glpk(self, ilp)"
},
{
"docstring": "Test method for CBC.",
"name": "test_cbc",
"signature": "def test_cbc(self, ilp)"
},
{
"docstring": "Test method for CPLEX.",
"name": "test_cplex",
"sig... | 5 | stack_v2_sparse_classes_30k_train_016451 | Implement the Python class `TestSolver` described below.
Class description:
Test Installed Solvers.
Method signatures and docstrings:
- def test_glpk(self, ilp): Test method for GLPK.
- def test_cbc(self, ilp): Test method for CBC.
- def test_cplex(self, ilp): Test method for CPLEX.
- def test_gurobi(self, ilp): Test... | Implement the Python class `TestSolver` described below.
Class description:
Test Installed Solvers.
Method signatures and docstrings:
- def test_glpk(self, ilp): Test method for GLPK.
- def test_cbc(self, ilp): Test method for CBC.
- def test_cplex(self, ilp): Test method for CPLEX.
- def test_gurobi(self, ilp): Test... | 12f696633743825b34556180eed171649a26f05d | <|skeleton|>
class TestSolver:
"""Test Installed Solvers."""
def test_glpk(self, ilp):
"""Test method for GLPK."""
<|body_0|>
def test_cbc(self, ilp):
"""Test method for CBC."""
<|body_1|>
def test_cplex(self, ilp):
"""Test method for CPLEX."""
<|body_2... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestSolver:
"""Test Installed Solvers."""
def test_glpk(self, ilp):
"""Test method for GLPK."""
try:
ilp.solve(pulp.GLPK())
assert round(pulp.value(ilp.objective), 0) == 5
except pulp.solvers.PulpSolverError:
pytest.fail(f'Solver not installed')... | the_stack_v2_python_sparse | check_installed_solvers.py | atomassi/mapping_distrinet | train | 2 |
aad77fa08ebee5c88ed84b125e33fd88d8f566be | [
"query_db = TestDatabases.query.get(db_id)\nif not query_db:\n return api_result(code=400, message='db_id:{}数据不存在'.format(db_id))\nreturn api_result(code=200, message='操作成功', data=query_db.to_json())",
"data = request.get_json()\nname = data.get('name')\ndb_type = data.get('db_type')\ndb_connection = data.get(... | <|body_start_0|>
query_db = TestDatabases.query.get(db_id)
if not query_db:
return api_result(code=400, message='db_id:{}数据不存在'.format(db_id))
return api_result(code=200, message='操作成功', data=query_db.to_json())
<|end_body_0|>
<|body_start_1|>
data = request.get_json()
... | 用例关联 db api GET: db详情 POST: db新增 PUT: db编辑 DELETE: db删除 | CaseDBApi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CaseDBApi:
"""用例关联 db api GET: db详情 POST: db新增 PUT: db编辑 DELETE: db删除"""
def get(self, db_id):
"""db详情"""
<|body_0|>
def post(self):
"""db新增"""
<|body_1|>
def put(self):
"""db编辑"""
<|body_2|>
def delete(self):
"""db删除"""
... | stack_v2_sparse_classes_75kplus_train_007996 | 4,337 | no_license | [
{
"docstring": "db详情",
"name": "get",
"signature": "def get(self, db_id)"
},
{
"docstring": "db新增",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "db编辑",
"name": "put",
"signature": "def put(self)"
},
{
"docstring": "db删除",
"name": "delete",
... | 4 | stack_v2_sparse_classes_30k_train_039485 | Implement the Python class `CaseDBApi` described below.
Class description:
用例关联 db api GET: db详情 POST: db新增 PUT: db编辑 DELETE: db删除
Method signatures and docstrings:
- def get(self, db_id): db详情
- def post(self): db新增
- def put(self): db编辑
- def delete(self): db删除 | Implement the Python class `CaseDBApi` described below.
Class description:
用例关联 db api GET: db详情 POST: db新增 PUT: db编辑 DELETE: db删除
Method signatures and docstrings:
- def get(self, db_id): db详情
- def post(self): db新增
- def put(self): db编辑
- def delete(self): db删除
<|skeleton|>
class CaseDBApi:
"""用例关联 db api GET:... | df76812885d7d7f3a5269e3f7c652db6a9f3c3ad | <|skeleton|>
class CaseDBApi:
"""用例关联 db api GET: db详情 POST: db新增 PUT: db编辑 DELETE: db删除"""
def get(self, db_id):
"""db详情"""
<|body_0|>
def post(self):
"""db新增"""
<|body_1|>
def put(self):
"""db编辑"""
<|body_2|>
def delete(self):
"""db删除"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CaseDBApi:
"""用例关联 db api GET: db详情 POST: db新增 PUT: db编辑 DELETE: db删除"""
def get(self, db_id):
"""db详情"""
query_db = TestDatabases.query.get(db_id)
if not query_db:
return api_result(code=400, message='db_id:{}数据不存在'.format(db_id))
return api_result(code=200, m... | the_stack_v2_python_sparse | app/api/case_db_api/case_db_api.py | chengzizhen/ExileTestPlatformServer | train | 0 |
0dc626c09d623946438c415ea71b35819902d38f | [
"image = imread(filename)\nself.scaled = image / 255\nif len(self.scaled.shape) == 3:\n self.brightness = self.scaled.mean(axis=2)\nelse:\n self.brightness = self.scaled\nself.m, self.n = np.shape(self.brightness)\nself.brightness = np.ravel(self.brightness)\nreturn\nraise NotImplementedError('Problem 3 Incom... | <|body_start_0|>
image = imread(filename)
self.scaled = image / 255
if len(self.scaled.shape) == 3:
self.brightness = self.scaled.mean(axis=2)
else:
self.brightness = self.scaled
self.m, self.n = np.shape(self.brightness)
self.brightness = np.ravel... | Class for storing and segmenting images. | ImageSegmenter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageSegmenter:
"""Class for storing and segmenting images."""
def __init__(self, filename):
"""Read the image file. Store its brightness values as a flat array."""
<|body_0|>
def show_original(self):
"""Display the original image."""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus_train_007997 | 9,707 | no_license | [
{
"docstring": "Read the image file. Store its brightness values as a flat array.",
"name": "__init__",
"signature": "def __init__(self, filename)"
},
{
"docstring": "Display the original image.",
"name": "show_original",
"signature": "def show_original(self)"
},
{
"docstring": "... | 5 | stack_v2_sparse_classes_30k_train_030090 | Implement the Python class `ImageSegmenter` described below.
Class description:
Class for storing and segmenting images.
Method signatures and docstrings:
- def __init__(self, filename): Read the image file. Store its brightness values as a flat array.
- def show_original(self): Display the original image.
- def adja... | Implement the Python class `ImageSegmenter` described below.
Class description:
Class for storing and segmenting images.
Method signatures and docstrings:
- def __init__(self, filename): Read the image file. Store its brightness values as a flat array.
- def show_original(self): Display the original image.
- def adja... | 9e0cc823f63868da93fbb6f56133da2b85c9094a | <|skeleton|>
class ImageSegmenter:
"""Class for storing and segmenting images."""
def __init__(self, filename):
"""Read the image file. Store its brightness values as a flat array."""
<|body_0|>
def show_original(self):
"""Display the original image."""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImageSegmenter:
"""Class for storing and segmenting images."""
def __init__(self, filename):
"""Read the image file. Store its brightness values as a flat array."""
image = imread(filename)
self.scaled = image / 255
if len(self.scaled.shape) == 3:
self.brightne... | the_stack_v2_python_sparse | Mathematical_Coding/ImageSegmentation/image_segmentation.py | mgrose2/Coding_Projects | train | 0 |
02928802ef1e91d95261f6fcd39e48517b3af1f3 | [
"res = []\nfor q in queries:\n val = True\n start = 0\n for i in range(0, len(q)):\n if start < len(pattern) and q[i] == pattern[start]:\n start += 1\n continue\n if q[i].isupper():\n val = False\n break\n if start < len(pattern):\n val = ... | <|body_start_0|>
res = []
for q in queries:
val = True
start = 0
for i in range(0, len(q)):
if start < len(pattern) and q[i] == pattern[start]:
start += 1
continue
if q[i].isupper():
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def camelMatch(self, queries, pattern):
""":type queries: List[str] :type pattern: str :rtype: List[bool] 根据条件判断，如果搜索对象是大写但不是模板的顺序则为False."""
<|body_0|>
def camelMatch1(self, queries, pattern):
"""模式匹配的题，正则表达。"""
<|body_1|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_75kplus_train_007998 | 1,904 | no_license | [
{
"docstring": ":type queries: List[str] :type pattern: str :rtype: List[bool] 根据条件判断，如果搜索对象是大写但不是模板的顺序则为False.",
"name": "camelMatch",
"signature": "def camelMatch(self, queries, pattern)"
},
{
"docstring": "模式匹配的题，正则表达。",
"name": "camelMatch1",
"signature": "def camelMatch1(self, queri... | 2 | stack_v2_sparse_classes_30k_train_018771 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def camelMatch(self, queries, pattern): :type queries: List[str] :type pattern: str :rtype: List[bool] 根据条件判断，如果搜索对象是大写但不是模板的顺序则为False.
- def camelMatch1(self, queries, pattern):... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def camelMatch(self, queries, pattern): :type queries: List[str] :type pattern: str :rtype: List[bool] 根据条件判断，如果搜索对象是大写但不是模板的顺序则为False.
- def camelMatch1(self, queries, pattern):... | bad06f681d8d3f2b841cb3c8a969198b8643f864 | <|skeleton|>
class Solution:
def camelMatch(self, queries, pattern):
""":type queries: List[str] :type pattern: str :rtype: List[bool] 根据条件判断，如果搜索对象是大写但不是模板的顺序则为False."""
<|body_0|>
def camelMatch1(self, queries, pattern):
"""模式匹配的题，正则表达。"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def camelMatch(self, queries, pattern):
""":type queries: List[str] :type pattern: str :rtype: List[bool] 根据条件判断，如果搜索对象是大写但不是模板的顺序则为False."""
res = []
for q in queries:
val = True
start = 0
for i in range(0, len(q)):
if star... | the_stack_v2_python_sparse | 1023_camelcase_matching.py | subicWang/leetcode_aotang | train | 0 | |
7e2841e5b537b7703a023a97c95afe11eba68076 | [
"self.open_tag = open_tag\nself.close_tag = close_tag\nself.content = [content]\nif kwargs:\n self.open_tag = open_tag.strip('>')\n for key in kwargs:\n self.open_tag += ' {}=\"{}\"'.format(key, kwargs[key])\n self.open_tag += '>'",
"if hasattr(content, 'render') and self.content:\n self.conten... | <|body_start_0|>
self.open_tag = open_tag
self.close_tag = close_tag
self.content = [content]
if kwargs:
self.open_tag = open_tag.strip('>')
for key in kwargs:
self.open_tag += ' {}="{}"'.format(key, kwargs[key])
self.open_tag += '>'
<|... | Parent class for all html elements to be created. | Element | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Element:
"""Parent class for all html elements to be created."""
def __init__(self, open_tag='<html>', close_tag='</html>', content=None, **kwargs):
"""Constructor for Element objects. :param open_tag="<html>": set opening tag parameter to html should none be given :param close_tag="... | stack_v2_sparse_classes_75kplus_train_007999 | 7,157 | no_license | [
{
"docstring": "Constructor for Element objects. :param open_tag=\"<html>\": set opening tag parameter to html should none be given :param close_tag=\"</html>\": set closing tag parameter to html should none be given :param content=None: set content value to NoneType if no content associated",
"name": "__in... | 3 | stack_v2_sparse_classes_30k_train_025508 | Implement the Python class `Element` described below.
Class description:
Parent class for all html elements to be created.
Method signatures and docstrings:
- def __init__(self, open_tag='<html>', close_tag='</html>', content=None, **kwargs): Constructor for Element objects. :param open_tag="<html>": set opening tag ... | Implement the Python class `Element` described below.
Class description:
Parent class for all html elements to be created.
Method signatures and docstrings:
- def __init__(self, open_tag='<html>', close_tag='</html>', content=None, **kwargs): Constructor for Element objects. :param open_tag="<html>": set opening tag ... | e298b1151dab639659d8dfa56f47bcb43dd3438f | <|skeleton|>
class Element:
"""Parent class for all html elements to be created."""
def __init__(self, open_tag='<html>', close_tag='</html>', content=None, **kwargs):
"""Constructor for Element objects. :param open_tag="<html>": set opening tag parameter to html should none be given :param close_tag="... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Element:
"""Parent class for all html elements to be created."""
def __init__(self, open_tag='<html>', close_tag='</html>', content=None, **kwargs):
"""Constructor for Element objects. :param open_tag="<html>": set opening tag parameter to html should none be given :param close_tag="</html>": set... | the_stack_v2_python_sparse | students/ian_letourneau/Lesson07/html_render.py | UWPCE-PythonCert-ClassRepos/Self_Paced-Online | train | 13 |
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