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value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
53cedcd0347ebfbdb87b8b533dc26168ce2ecf39 | [
"clone = self.filter(*args, **kwargs)\nclone = clone.order_by()\nif len(clone) >= 1:\n return clone._result_cache[0]\nreturn None",
"if model.id and model.id > 0:\n origin = self.first(id=model.id)\n if origin:\n model.create_user = origin.create_user\n model.create_time = origin.create_tim... | <|body_start_0|>
clone = self.filter(*args, **kwargs)
clone = clone.order_by()
if len(clone) >= 1:
return clone._result_cache[0]
return None
<|end_body_0|>
<|body_start_1|>
if model.id and model.id > 0:
origin = self.first(id=model.id)
if orig... | 自定义模型管理器 | BaseManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseManager:
"""自定义模型管理器"""
def first(self, *args, **kwargs):
"""获取一条数据"""
<|body_0|>
def save_new(self, model, user):
"""保存或更新数据"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
clone = self.filter(*args, **kwargs)
clone = clone.order_by... | stack_v2_sparse_classes_75kplus_train_002300 | 5,734 | no_license | [
{
"docstring": "获取一条数据",
"name": "first",
"signature": "def first(self, *args, **kwargs)"
},
{
"docstring": "保存或更新数据",
"name": "save_new",
"signature": "def save_new(self, model, user)"
}
] | 2 | stack_v2_sparse_classes_30k_train_029112 | Implement the Python class `BaseManager` described below.
Class description:
自定义模型管理器
Method signatures and docstrings:
- def first(self, *args, **kwargs): 获取一条数据
- def save_new(self, model, user): 保存或更新数据 | Implement the Python class `BaseManager` described below.
Class description:
自定义模型管理器
Method signatures and docstrings:
- def first(self, *args, **kwargs): 获取一条数据
- def save_new(self, model, user): 保存或更新数据
<|skeleton|>
class BaseManager:
"""自定义模型管理器"""
def first(self, *args, **kwargs):
"""获取一条数据"""
... | 473e00e6d28baaf6b7b36de62583cf3f749816a2 | <|skeleton|>
class BaseManager:
"""自定义模型管理器"""
def first(self, *args, **kwargs):
"""获取一条数据"""
<|body_0|>
def save_new(self, model, user):
"""保存或更新数据"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseManager:
"""自定义模型管理器"""
def first(self, *args, **kwargs):
"""获取一条数据"""
clone = self.filter(*args, **kwargs)
clone = clone.order_by()
if len(clone) >= 1:
return clone._result_cache[0]
return None
def save_new(self, model, user):
"""保存或更新... | the_stack_v2_python_sparse | web/models.py | WsWHL/blog | train | 2 |
7a2a421e1560482ce26e5c1ed61fc9bd6a4fc115 | [
"kwargs['default'] = default\nkwargs['types'] = (int, float, tuple, list)\nsuper().__init__(**kwargs)",
"if isinstance(value, (int, float)):\n return (value, value, value, value)\nif isinstance(value, (list, tuple)) and all((isinstance(x, (int, float)) for x in value)):\n if len(value) == 1:\n return... | <|body_start_0|>
kwargs['default'] = default
kwargs['types'] = (int, float, tuple, list)
super().__init__(**kwargs)
<|end_body_0|>
<|body_start_1|>
if isinstance(value, (int, float)):
return (value, value, value, value)
if isinstance(value, (list, tuple)) and all((is... | Defines a property used for quad-sided connected values like margins, paddings etc. The value must be provided as a single number or as a list or tuple of numbers defining individual values for top, right, bottom and left side. If only a single value is provided, it is used for all the sides. If two values are provided... | QuadProperty | [
"LicenseRef-scancode-philippe-de-muyter",
"LicenseRef-scancode-commercial-license",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuadProperty:
"""Defines a property used for quad-sided connected values like margins, paddings etc. The value must be provided as a single number or as a list or tuple of numbers defining individual values for top, right, bottom and left side. If only a single value is provided, it is used for a... | stack_v2_sparse_classes_75kplus_train_002301 | 11,719 | permissive | [
{
"docstring": "Initializes a new instance of QuadProperty.",
"name": "__init__",
"signature": "def __init__(self, default=UNDEF, **kwargs)"
},
{
"docstring": "Validates and converts given value.",
"name": "parse",
"signature": "def parse(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_030087 | Implement the Python class `QuadProperty` described below.
Class description:
Defines a property used for quad-sided connected values like margins, paddings etc. The value must be provided as a single number or as a list or tuple of numbers defining individual values for top, right, bottom and left side. If only a sin... | Implement the Python class `QuadProperty` described below.
Class description:
Defines a property used for quad-sided connected values like margins, paddings etc. The value must be provided as a single number or as a list or tuple of numbers defining individual values for top, right, bottom and left side. If only a sin... | d59b1bc056f3037b7b7ab635b6deb41120612965 | <|skeleton|>
class QuadProperty:
"""Defines a property used for quad-sided connected values like margins, paddings etc. The value must be provided as a single number or as a list or tuple of numbers defining individual values for top, right, bottom and left side. If only a single value is provided, it is used for a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuadProperty:
"""Defines a property used for quad-sided connected values like margins, paddings etc. The value must be provided as a single number or as a list or tuple of numbers defining individual values for top, right, bottom and left side. If only a single value is provided, it is used for all the sides.... | the_stack_v2_python_sparse | pero/properties/typed.py | xxao/pero | train | 31 |
703fb5e3f80581857434f080005277cbb436dde1 | [
"method = method.upper()\nif method not in ['GET', 'POST']:\n raise RuntimeError('Trying to register endpoint {} with a non-supported method {}'.format(name, method))\nif name in cls.endpoints:\n logger.error('Trying to register and endpoint that already exists: %s', name)\n raise RuntimeError('Endpoint wi... | <|body_start_0|>
method = method.upper()
if method not in ['GET', 'POST']:
raise RuntimeError('Trying to register endpoint {} with a non-supported method {}'.format(name, method))
if name in cls.endpoints:
logger.error('Trying to register and endpoint that already exists:... | HTTP handler that parses requests and passes them on to the player | Handler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Handler:
"""HTTP handler that parses requests and passes them on to the player"""
def register_endpoint(cls, name, func, method='GET'):
"""Register a new endpoint and it's corresponding function"""
<|body_0|>
def output_headers(self):
"""Utility method that write... | stack_v2_sparse_classes_75kplus_train_002302 | 6,216 | permissive | [
{
"docstring": "Register a new endpoint and it's corresponding function",
"name": "register_endpoint",
"signature": "def register_endpoint(cls, name, func, method='GET')"
},
{
"docstring": "Utility method that writes the JSON headers that goes in all succesful responses",
"name": "output_hea... | 4 | stack_v2_sparse_classes_30k_train_050032 | Implement the Python class `Handler` described below.
Class description:
HTTP handler that parses requests and passes them on to the player
Method signatures and docstrings:
- def register_endpoint(cls, name, func, method='GET'): Register a new endpoint and it's corresponding function
- def output_headers(self): Util... | Implement the Python class `Handler` described below.
Class description:
HTTP handler that parses requests and passes them on to the player
Method signatures and docstrings:
- def register_endpoint(cls, name, func, method='GET'): Register a new endpoint and it's corresponding function
- def output_headers(self): Util... | 27a46c5535c473f32ebd6089333c22e75b61ebf2 | <|skeleton|>
class Handler:
"""HTTP handler that parses requests and passes them on to the player"""
def register_endpoint(cls, name, func, method='GET'):
"""Register a new endpoint and it's corresponding function"""
<|body_0|>
def output_headers(self):
"""Utility method that write... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Handler:
"""HTTP handler that parses requests and passes them on to the player"""
def register_endpoint(cls, name, func, method='GET'):
"""Register a new endpoint and it's corresponding function"""
method = method.upper()
if method not in ['GET', 'POST']:
raise Runtime... | the_stack_v2_python_sparse | backend/main.py | ecampostrini/musicracy-python | train | 0 |
1302e58baa08a2603260d5c737a9804ae140fa9a | [
"current_node = self.head\nwhile current_node is not None:\n if current_node.value[0] == key:\n return current_node.value[1]\n current_node = current_node.next_value\nreturn None",
"if self.head is not None:\n current_node = self.head\n idx = 0\n while current_node is not None:\n if c... | <|body_start_0|>
current_node = self.head
while current_node is not None:
if current_node.value[0] == key:
return current_node.value[1]
current_node = current_node.next_value
return None
<|end_body_0|>
<|body_start_1|>
if self.head is not None:
... | This class describes nodes for Hash Table | HashNodeList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HashNodeList:
"""This class describes nodes for Hash Table"""
def check_node_exist(self, key):
"""This method checks node exist in Hash Table"""
<|body_0|>
def delete_node(self, key):
"""This method removes node of Hash Table by key"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_002303 | 2,293 | no_license | [
{
"docstring": "This method checks node exist in Hash Table",
"name": "check_node_exist",
"signature": "def check_node_exist(self, key)"
},
{
"docstring": "This method removes node of Hash Table by key",
"name": "delete_node",
"signature": "def delete_node(self, key)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009489 | Implement the Python class `HashNodeList` described below.
Class description:
This class describes nodes for Hash Table
Method signatures and docstrings:
- def check_node_exist(self, key): This method checks node exist in Hash Table
- def delete_node(self, key): This method removes node of Hash Table by key | Implement the Python class `HashNodeList` described below.
Class description:
This class describes nodes for Hash Table
Method signatures and docstrings:
- def check_node_exist(self, key): This method checks node exist in Hash Table
- def delete_node(self, key): This method removes node of Hash Table by key
<|skelet... | 9e9fd6583ef4f586c3b4d8cae06c23bdff89c35a | <|skeleton|>
class HashNodeList:
"""This class describes nodes for Hash Table"""
def check_node_exist(self, key):
"""This method checks node exist in Hash Table"""
<|body_0|>
def delete_node(self, key):
"""This method removes node of Hash Table by key"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HashNodeList:
"""This class describes nodes for Hash Table"""
def check_node_exist(self, key):
"""This method checks node exist in Hash Table"""
current_node = self.head
while current_node is not None:
if current_node.value[0] == key:
return current_nod... | the_stack_v2_python_sparse | data_structures/basic_data_structure/hash_table.py | Mariia-Kosorotykova/python-education | train | 0 |
00ab07a35f527a9d368e13d8eca64a87ce80570a | [
"self.device = device_claim(device)\nself.resources_path = resources_path\nself.model_type = model_type\nself.model_name = model_name\nself.scheduler_type = scheduler_type\nself.prompt = prompt\nself.auth_token = auth_token\nself.load_model()",
"try:\n model_class = MODEL_TYPES[self.model_type]\nexcept KeyErro... | <|body_start_0|>
self.device = device_claim(device)
self.resources_path = resources_path
self.model_type = model_type
self.model_name = model_name
self.scheduler_type = scheduler_type
self.prompt = prompt
self.auth_token = auth_token
self.load_model()
<|en... | Implementation of a generator. | Generator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Generator:
"""Implementation of a generator."""
def __init__(self, resources_path: str, model_type: str, model_name: str, scheduler_type: str, auth_token: bool=True, prompt: Optional[Union[str, Dict[str, Any]]]=None, device: Optional[Union[torch.device, str]]=None):
"""A Diffusers ge... | stack_v2_sparse_classes_75kplus_train_002304 | 5,391 | permissive | [
{
"docstring": "A Diffusers generation algorithm. Args: resources_path: path to the cache. model_type: type of the model. model_name: name of the model weights/version. scheduler_type: type of the schedule. auth_token: authentication token for private models. prompt: target for conditional generation. device: d... | 3 | stack_v2_sparse_classes_30k_train_013506 | Implement the Python class `Generator` described below.
Class description:
Implementation of a generator.
Method signatures and docstrings:
- def __init__(self, resources_path: str, model_type: str, model_name: str, scheduler_type: str, auth_token: bool=True, prompt: Optional[Union[str, Dict[str, Any]]]=None, device:... | Implement the Python class `Generator` described below.
Class description:
Implementation of a generator.
Method signatures and docstrings:
- def __init__(self, resources_path: str, model_type: str, model_name: str, scheduler_type: str, auth_token: bool=True, prompt: Optional[Union[str, Dict[str, Any]]]=None, device:... | 0b69b7d5b261f2f9af3984793c1295b9b80cd01a | <|skeleton|>
class Generator:
"""Implementation of a generator."""
def __init__(self, resources_path: str, model_type: str, model_name: str, scheduler_type: str, auth_token: bool=True, prompt: Optional[Union[str, Dict[str, Any]]]=None, device: Optional[Union[torch.device, str]]=None):
"""A Diffusers ge... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Generator:
"""Implementation of a generator."""
def __init__(self, resources_path: str, model_type: str, model_name: str, scheduler_type: str, auth_token: bool=True, prompt: Optional[Union[str, Dict[str, Any]]]=None, device: Optional[Union[torch.device, str]]=None):
"""A Diffusers generation algo... | the_stack_v2_python_sparse | src/gt4sd/algorithms/generation/diffusion/implementation.py | GT4SD/gt4sd-core | train | 239 |
213a3921f28b06aaa7e814b661d5ada9633c3ec4 | [
"self.subdomains = subdomains\nself.k_0 = k_0\nself.k_1 = k_1",
"if self.subdomains[cell.index] == 1:\n values[0] = self.k_0\nelse:\n values[0] = self.k_1"
] | <|body_start_0|>
self.subdomains = subdomains
self.k_0 = k_0
self.k_1 = k_1
<|end_body_0|>
<|body_start_1|>
if self.subdomains[cell.index] == 1:
values[0] = self.k_0
else:
values[0] = self.k_1
<|end_body_1|>
| Defines constant on computational domain respecting the subdomains. Maybe it should be rewritten as C++ code (see https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html) | SubdomainConstant | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubdomainConstant:
"""Defines constant on computational domain respecting the subdomains. Maybe it should be rewritten as C++ code (see https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)"""
def __init__(self, subdomains, k_0, k_1, **kwargs):
"""Constructor."""
<|... | stack_v2_sparse_classes_75kplus_train_002305 | 12,656 | no_license | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, subdomains, k_0, k_1, **kwargs)"
},
{
"docstring": "Assigns value to the cell. Note that Gmsh indexes subdomains from 1.",
"name": "eval_cell",
"signature": "def eval_cell(self, values, x, cell)"
}
] | 2 | null | Implement the Python class `SubdomainConstant` described below.
Class description:
Defines constant on computational domain respecting the subdomains. Maybe it should be rewritten as C++ code (see https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)
Method signatures and docstrings:
- def __init__(self, su... | Implement the Python class `SubdomainConstant` described below.
Class description:
Defines constant on computational domain respecting the subdomains. Maybe it should be rewritten as C++ code (see https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)
Method signatures and docstrings:
- def __init__(self, su... | ba08ebbfed25bec742316dcd665c0b9941658232 | <|skeleton|>
class SubdomainConstant:
"""Defines constant on computational domain respecting the subdomains. Maybe it should be rewritten as C++ code (see https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)"""
def __init__(self, subdomains, k_0, k_1, **kwargs):
"""Constructor."""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubdomainConstant:
"""Defines constant on computational domain respecting the subdomains. Maybe it should be rewritten as C++ code (see https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)"""
def __init__(self, subdomains, k_0, k_1, **kwargs):
"""Constructor."""
self.subdomains... | the_stack_v2_python_sparse | applications/PUfoam/MoDeNaModels/FoamConstruction/simulation.py | MoDeNa-EUProject/MoDeNa | train | 19 |
e92308341c7fdc1374457ec4b6a619072cdcf45d | [
"self.log = log\nif e is not None or operation is not None:\n self.handle_exception(e, operation)\nreturn",
"result = {'error': None}\nexc_type, exc_obj, exc_tb = exc_info()\nfname = path_split(exc_tb.tb_frame.f_code.co_filename)[frame]\nresult['error'] = '%s, %s, %s' % (str(exc_type), str(fname), str(exc_tb.t... | <|body_start_0|>
self.log = log
if e is not None or operation is not None:
self.handle_exception(e, operation)
return
<|end_body_0|>
<|body_start_1|>
result = {'error': None}
exc_type, exc_obj, exc_tb = exc_info()
fname = path_split(exc_tb.tb_frame.f_code.co_... | Object for exception handling. | ExceptionHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExceptionHandler:
"""Object for exception handling."""
def __init__(self, log, e=None, operation=None):
"""Initialize the exception handler object. @param log: an initialized logger object. @param e: the exception (from BaseException, e). @param operation: the action being attempted ... | stack_v2_sparse_classes_75kplus_train_002306 | 3,299 | no_license | [
{
"docstring": "Initialize the exception handler object. @param log: an initialized logger object. @param e: the exception (from BaseException, e). @param operation: the action being attempted (that failed). @return: None.",
"name": "__init__",
"signature": "def __init__(self, log, e=None, operation=Non... | 3 | stack_v2_sparse_classes_30k_train_007905 | Implement the Python class `ExceptionHandler` described below.
Class description:
Object for exception handling.
Method signatures and docstrings:
- def __init__(self, log, e=None, operation=None): Initialize the exception handler object. @param log: an initialized logger object. @param e: the exception (from BaseExc... | Implement the Python class `ExceptionHandler` described below.
Class description:
Object for exception handling.
Method signatures and docstrings:
- def __init__(self, log, e=None, operation=None): Initialize the exception handler object. @param log: an initialized logger object. @param e: the exception (from BaseExc... | cc14053da99f6671b12e03ef5dc1717c3d9e4aa5 | <|skeleton|>
class ExceptionHandler:
"""Object for exception handling."""
def __init__(self, log, e=None, operation=None):
"""Initialize the exception handler object. @param log: an initialized logger object. @param e: the exception (from BaseException, e). @param operation: the action being attempted ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExceptionHandler:
"""Object for exception handling."""
def __init__(self, log, e=None, operation=None):
"""Initialize the exception handler object. @param log: an initialized logger object. @param e: the exception (from BaseException, e). @param operation: the action being attempted (that failed)... | the_stack_v2_python_sparse | exceptionhandler.py | jslatte/tartaros | train | 1 |
ed56a81673aacebf486225496e002abbfa8e5523 | [
"super().__init__()\nself.filename = file\nself.width = 0\nself.height = 0\nself.fps = 0",
"if self.filename:\n self.video = cv2.VideoCapture(self.filename)\n self.width = int(self.video.get(cv2.CAP_PROP_FRAME_WIDTH))\n self.height = int(self.video.get(cv2.CAP_PROP_FRAME_HEIGHT))\n self.fps = int(self... | <|body_start_0|>
super().__init__()
self.filename = file
self.width = 0
self.height = 0
self.fps = 0
<|end_body_0|>
<|body_start_1|>
if self.filename:
self.video = cv2.VideoCapture(self.filename)
self.width = int(self.video.get(cv2.CAP_PROP_FRAME_... | VideoFile | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VideoFile:
def __init__(self, file):
"""Default constructor."""
<|body_0|>
def initialize(self):
"""Open video file."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__()
self.filename = file
self.width = 0
self.... | stack_v2_sparse_classes_75kplus_train_002307 | 4,348 | permissive | [
{
"docstring": "Default constructor.",
"name": "__init__",
"signature": "def __init__(self, file)"
},
{
"docstring": "Open video file.",
"name": "initialize",
"signature": "def initialize(self)"
}
] | 2 | null | Implement the Python class `VideoFile` described below.
Class description:
Implement the VideoFile class.
Method signatures and docstrings:
- def __init__(self, file): Default constructor.
- def initialize(self): Open video file. | Implement the Python class `VideoFile` described below.
Class description:
Implement the VideoFile class.
Method signatures and docstrings:
- def __init__(self, file): Default constructor.
- def initialize(self): Open video file.
<|skeleton|>
class VideoFile:
def __init__(self, file):
"""Default constru... | 65ee6be8d438614d0644b4ea7d384658daeca1c4 | <|skeleton|>
class VideoFile:
def __init__(self, file):
"""Default constructor."""
<|body_0|>
def initialize(self):
"""Open video file."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VideoFile:
def __init__(self, file):
"""Default constructor."""
super().__init__()
self.filename = file
self.width = 0
self.height = 0
self.fps = 0
def initialize(self):
"""Open video file."""
if self.filename:
self.video = cv2.V... | the_stack_v2_python_sparse | bach/video.py | isazi/bach | train | 2 | |
ff978e29d3376449217df09626b1ba71efcefac9 | [
"if 'id' in request.GET:\n feedback = app_models.feedback.objects.get(id=request.GET['id'])\n is_create_new_data = False\n project_id = 'new_app:feedback:%s' % request.GET.get('related_page_id', 0)\nelse:\n feedback = None\n is_create_new_data = True\n project_id = 'new_app:feedback:0'\nc = Reques... | <|body_start_0|>
if 'id' in request.GET:
feedback = app_models.feedback.objects.get(id=request.GET['id'])
is_create_new_data = False
project_id = 'new_app:feedback:%s' % request.GET.get('related_page_id', 0)
else:
feedback = None
is_create_new_... | feedback | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class feedback:
def get(request):
"""响应GET"""
<|body_0|>
def api_put(request):
"""响应PUT"""
<|body_1|>
def api_post(request):
"""响应POST"""
<|body_2|>
def api_delete(request):
"""响应DELETE"""
<|body_3|>
<|end_skeleton|>
<|bo... | stack_v2_sparse_classes_75kplus_train_002308 | 2,469 | no_license | [
{
"docstring": "响应GET",
"name": "get",
"signature": "def get(request)"
},
{
"docstring": "响应PUT",
"name": "api_put",
"signature": "def api_put(request)"
},
{
"docstring": "响应POST",
"name": "api_post",
"signature": "def api_post(request)"
},
{
"docstring": "响应DELET... | 4 | null | Implement the Python class `feedback` described below.
Class description:
Implement the feedback class.
Method signatures and docstrings:
- def get(request): 响应GET
- def api_put(request): 响应PUT
- def api_post(request): 响应POST
- def api_delete(request): 响应DELETE | Implement the Python class `feedback` described below.
Class description:
Implement the feedback class.
Method signatures and docstrings:
- def get(request): 响应GET
- def api_put(request): 响应PUT
- def api_post(request): 响应POST
- def api_delete(request): 响应DELETE
<|skeleton|>
class feedback:
def get(request):
... | 8b2f7befe92841bcc35e0e60cac5958ef3f3af54 | <|skeleton|>
class feedback:
def get(request):
"""响应GET"""
<|body_0|>
def api_put(request):
"""响应PUT"""
<|body_1|>
def api_post(request):
"""响应POST"""
<|body_2|>
def api_delete(request):
"""响应DELETE"""
<|body_3|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class feedback:
def get(request):
"""响应GET"""
if 'id' in request.GET:
feedback = app_models.feedback.objects.get(id=request.GET['id'])
is_create_new_data = False
project_id = 'new_app:feedback:%s' % request.GET.get('related_page_id', 0)
else:
f... | the_stack_v2_python_sparse | weapp/apps/customerized_apps/feedback/feedback.py | chengdg/weizoom | train | 1 | |
edebdab3c82b1a1ad1219d39f3ce25f59048584f | [
"if sub is None and subpart:\n if isinstance(subpart, six.string_types):\n sub = 'Subpart:{0}'.format(subpart)\n else:\n sub = 'Subpart'\nif sub is None and is_interp:\n sub = 'Interpretations'\nif sub is None and appendix:\n sub = 'Appendix:' + appendix\nif paragraph:\n paragraphs = [p... | <|body_start_0|>
if sub is None and subpart:
if isinstance(subpart, six.string_types):
sub = 'Subpart:{0}'.format(subpart)
else:
sub = 'Subpart'
if sub is None and is_interp:
sub = 'Interpretations'
if sub is None and appendix:
... | Represents an entity which is being modified by the amendment. Label is a way to locate this paragraph (though see the above note). We might be modifying a field of a paragraph (e.g. intro text only, or title only;) if so, set the `field` parameter. | Paragraph | [
"CC0-1.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Paragraph:
"""Represents an entity which is being modified by the amendment. Label is a way to locate this paragraph (though see the above note). We might be modifying a field of a paragraph (e.g. intro text only, or title only;) if so, set the `field` parameter."""
def make(cls, label=None,... | stack_v2_sparse_classes_75kplus_train_002309 | 4,697 | permissive | [
{
"docstring": "label and field are the only \"materialized\" fields. Everything other field becomes part of the label, offering a more legible API. Particularly useful for writing tests",
"name": "make",
"signature": "def make(cls, label=None, field=None, part=None, sub=None, section=None, paragraphs=N... | 2 | null | Implement the Python class `Paragraph` described below.
Class description:
Represents an entity which is being modified by the amendment. Label is a way to locate this paragraph (though see the above note). We might be modifying a field of a paragraph (e.g. intro text only, or title only;) if so, set the `field` param... | Implement the Python class `Paragraph` described below.
Class description:
Represents an entity which is being modified by the amendment. Label is a way to locate this paragraph (though see the above note). We might be modifying a field of a paragraph (e.g. intro text only, or title only;) if so, set the `field` param... | ea608ac109a918fdda60491fffa3fbd646928cf4 | <|skeleton|>
class Paragraph:
"""Represents an entity which is being modified by the amendment. Label is a way to locate this paragraph (though see the above note). We might be modifying a field of a paragraph (e.g. intro text only, or title only;) if so, set the `field` parameter."""
def make(cls, label=None,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Paragraph:
"""Represents an entity which is being modified by the amendment. Label is a way to locate this paragraph (though see the above note). We might be modifying a field of a paragraph (e.g. intro text only, or title only;) if so, set the `field` parameter."""
def make(cls, label=None, field=None, ... | the_stack_v2_python_sparse | regparser/grammar/tokens.py | fecgov/regulations-parser | train | 1 |
05ebbe5386164cad10948bb5ee01963dd33e2d17 | [
"tree_viewer = ResourceTreeViewer(parent=parent, input=self.workspace, selection_mode='single', show_root=False)\ntree_viewer.on_trait_change(self.on_selection_change, 'selection')\nreturn tree_viewer.control",
"if selections:\n selection = selections[0]\n if isinstance(selection, File):\n self.resou... | <|body_start_0|>
tree_viewer = ResourceTreeViewer(parent=parent, input=self.workspace, selection_mode='single', show_root=False)
tree_viewer.on_trait_change(self.on_selection_change, 'selection')
return tree_viewer.control
<|end_body_0|>
<|body_start_1|>
if selections:
selec... | Wizard page for resource selection. | ResourceSelectionPage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceSelectionPage:
"""Wizard page for resource selection."""
def create_page(self, parent):
"""Create the wizard page."""
<|body_0|>
def on_selection_change(self, selections):
"""Handles the tree viewer selections changing."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus_train_002310 | 3,949 | permissive | [
{
"docstring": "Create the wizard page.",
"name": "create_page",
"signature": "def create_page(self, parent)"
},
{
"docstring": "Handles the tree viewer selections changing.",
"name": "on_selection_change",
"signature": "def on_selection_change(self, selections)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018329 | Implement the Python class `ResourceSelectionPage` described below.
Class description:
Wizard page for resource selection.
Method signatures and docstrings:
- def create_page(self, parent): Create the wizard page.
- def on_selection_change(self, selections): Handles the tree viewer selections changing. | Implement the Python class `ResourceSelectionPage` described below.
Class description:
Wizard page for resource selection.
Method signatures and docstrings:
- def create_page(self, parent): Create the wizard page.
- def on_selection_change(self, selections): Handles the tree viewer selections changing.
<|skeleton|>
... | e8fc0b2d6b9b08e60389fc4714a5cf51f628b57f | <|skeleton|>
class ResourceSelectionPage:
"""Wizard page for resource selection."""
def create_page(self, parent):
"""Create the wizard page."""
<|body_0|>
def on_selection_change(self, selections):
"""Handles the tree viewer selections changing."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResourceSelectionPage:
"""Wizard page for resource selection."""
def create_page(self, parent):
"""Create the wizard page."""
tree_viewer = ResourceTreeViewer(parent=parent, input=self.workspace, selection_mode='single', show_root=False)
tree_viewer.on_trait_change(self.on_selecti... | the_stack_v2_python_sparse | puddle/resource/wizard/resource_selection_page.py | rwl/puddle | train | 2 |
31e5f727d55c324bd3931ceb70519d5533cd67e7 | [
"pagination = req.context.get('pagination')\npost_collection_dto = PostCollectionV2Dto(posts=[post_to_v2_dto(post, href=PostResource.url_to(req.netloc, post_id=post.id), links=get_post_links(req, post)) for post in get_posts(start=pagination.get('start'), count=pagination.get('count'))])\nresp.body = post_collectio... | <|body_start_0|>
pagination = req.context.get('pagination')
post_collection_dto = PostCollectionV2Dto(posts=[post_to_v2_dto(post, href=PostResource.url_to(req.netloc, post_id=post.id), links=get_post_links(req, post)) for post in get_posts(start=pagination.get('start'), count=pagination.get('count'))])
... | PostCollectionResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostCollectionResource:
def on_get(self, req, resp):
"""Fetch grid view for all post resources. Note: This endpoint supports pagination, pagination arguments must be provided via query args."""
<|body_0|>
def on_post(self, req, resp):
"""Create a new post resource.""... | stack_v2_sparse_classes_75kplus_train_002311 | 7,743 | permissive | [
{
"docstring": "Fetch grid view for all post resources. Note: This endpoint supports pagination, pagination arguments must be provided via query args.",
"name": "on_get",
"signature": "def on_get(self, req, resp)"
},
{
"docstring": "Create a new post resource.",
"name": "on_post",
"signa... | 2 | stack_v2_sparse_classes_30k_train_013011 | Implement the Python class `PostCollectionResource` described below.
Class description:
Implement the PostCollectionResource class.
Method signatures and docstrings:
- def on_get(self, req, resp): Fetch grid view for all post resources. Note: This endpoint supports pagination, pagination arguments must be provided vi... | Implement the Python class `PostCollectionResource` described below.
Class description:
Implement the PostCollectionResource class.
Method signatures and docstrings:
- def on_get(self, req, resp): Fetch grid view for all post resources. Note: This endpoint supports pagination, pagination arguments must be provided vi... | e507fe0307d1a7ea29d6c3e20be62fa82a8f109f | <|skeleton|>
class PostCollectionResource:
def on_get(self, req, resp):
"""Fetch grid view for all post resources. Note: This endpoint supports pagination, pagination arguments must be provided via query args."""
<|body_0|>
def on_post(self, req, resp):
"""Create a new post resource.""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PostCollectionResource:
def on_get(self, req, resp):
"""Fetch grid view for all post resources. Note: This endpoint supports pagination, pagination arguments must be provided via query args."""
pagination = req.context.get('pagination')
post_collection_dto = PostCollectionV2Dto(posts=[... | the_stack_v2_python_sparse | blog/resources/posts.py | neetjn/py-blog | train | 0 | |
377682c9e234a8da72d3c1a28a6ddbf1846f0b22 | [
"self.list_of_all_labels = find_all_labels(list(frecords()), get_labels_of_record)\nself.k_list = k_list\nPRINTER('[MlKnnFractionalEnsembledStrongest: init] labels: ' + str(self.list_of_all_labels))\nPRINTER('[MlKnnFractionalEnsembledStrongest: init]: START OF TRAINING...')\nself.mlknn_fractionals = {}\nfor k in se... | <|body_start_0|>
self.list_of_all_labels = find_all_labels(list(frecords()), get_labels_of_record)
self.k_list = k_list
PRINTER('[MlKnnFractionalEnsembledStrongest: init] labels: ' + str(self.list_of_all_labels))
PRINTER('[MlKnnFractionalEnsembledStrongest: init]: START OF TRAINING...')
... | @deprecated: use MlknnTEnsembled instead. Naive Bayes with KNN as features. Modification of a classifier based on a publication: Ml-knn: A Lazy Learning Approach to Multi-Label Learning Min-Ling Zhang, Zhi-Hua Zhou. A threshold is being chosen for each class, maximizing the f-measure. Ensemble of such MlKnn's is create... | MlKnnFractionalEnsembledStrongest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MlKnnFractionalEnsembledStrongest:
"""@deprecated: use MlknnTEnsembled instead. Naive Bayes with KNN as features. Modification of a classifier based on a publication: Ml-knn: A Lazy Learning Approach to Multi-Label Learning Min-Ling Zhang, Zhi-Hua Zhou. A threshold is being chosen for each class,... | stack_v2_sparse_classes_75kplus_train_002312 | 4,279 | no_license | [
{
"docstring": "Constructor. @type frecords: list of records @param frecords: used to calculate parameters (probabilities) and nearest neighbours amongst the records it returns; NOTE: if a user wants to manipulate, which codes to consider(e.g. higher or lower level) it is good to give a specific frecords parame... | 2 | stack_v2_sparse_classes_30k_train_049368 | Implement the Python class `MlKnnFractionalEnsembledStrongest` described below.
Class description:
@deprecated: use MlknnTEnsembled instead. Naive Bayes with KNN as features. Modification of a classifier based on a publication: Ml-knn: A Lazy Learning Approach to Multi-Label Learning Min-Ling Zhang, Zhi-Hua Zhou. A th... | Implement the Python class `MlKnnFractionalEnsembledStrongest` described below.
Class description:
@deprecated: use MlknnTEnsembled instead. Naive Bayes with KNN as features. Modification of a classifier based on a publication: Ml-knn: A Lazy Learning Approach to Multi-Label Learning Min-Ling Zhang, Zhi-Hua Zhou. A th... | e38508de91f8a7bda3096c6f0a361734207357a5 | <|skeleton|>
class MlKnnFractionalEnsembledStrongest:
"""@deprecated: use MlknnTEnsembled instead. Naive Bayes with KNN as features. Modification of a classifier based on a publication: Ml-knn: A Lazy Learning Approach to Multi-Label Learning Min-Ling Zhang, Zhi-Hua Zhou. A threshold is being chosen for each class,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MlKnnFractionalEnsembledStrongest:
"""@deprecated: use MlknnTEnsembled instead. Naive Bayes with KNN as features. Modification of a classifier based on a publication: Ml-knn: A Lazy Learning Approach to Multi-Label Learning Min-Ling Zhang, Zhi-Hua Zhou. A threshold is being chosen for each class, maximizing t... | the_stack_v2_python_sparse | src/main/python/document_classification/mlknn/mlknn_ensembled_fractional.py | pszostek/research-python-backup | train | 0 |
9a8a675333f7cdf44fa87be733013e2b36063c5b | [
"if n == 0:\n return []\nreturn self.dfs(1, n)",
"if start > end:\n return [None]\nres = []\nfor root_val in range(start, end + 1):\n left_tree = self.dfs(start, root_val - 1)\n right_tree = self.dfs(root_val + 1, end)\n for i in left_tree:\n for j in right_tree:\n root = TreeNode... | <|body_start_0|>
if n == 0:
return []
return self.dfs(1, n)
<|end_body_0|>
<|body_start_1|>
if start > end:
return [None]
res = []
for root_val in range(start, end + 1):
left_tree = self.dfs(start, root_val - 1)
right_tree = self.d... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generateTrees(self, n):
"""一般这种要求列出所有可能结果的题目都用dfs :type n: int :rtype: List[TreeNode]"""
<|body_0|>
def dfs(self, start, end):
"""dfs(start, end)函数返回以start，start+1，...，end为根的二叉查找树。"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n =... | stack_v2_sparse_classes_75kplus_train_002313 | 1,122 | no_license | [
{
"docstring": "一般这种要求列出所有可能结果的题目都用dfs :type n: int :rtype: List[TreeNode]",
"name": "generateTrees",
"signature": "def generateTrees(self, n)"
},
{
"docstring": "dfs(start, end)函数返回以start，start+1，...，end为根的二叉查找树。",
"name": "dfs",
"signature": "def dfs(self, start, end)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000663 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generateTrees(self, n): 一般这种要求列出所有可能结果的题目都用dfs :type n: int :rtype: List[TreeNode]
- def dfs(self, start, end): dfs(start, end)函数返回以start，start+1，...，end为根的二叉查找树。 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generateTrees(self, n): 一般这种要求列出所有可能结果的题目都用dfs :type n: int :rtype: List[TreeNode]
- def dfs(self, start, end): dfs(start, end)函数返回以start，start+1，...，end为根的二叉查找树。
<|skeleton... | 74550d68cd3fd2cfcc92e1bf6579ac3b8f31aa75 | <|skeleton|>
class Solution:
def generateTrees(self, n):
"""一般这种要求列出所有可能结果的题目都用dfs :type n: int :rtype: List[TreeNode]"""
<|body_0|>
def dfs(self, start, end):
"""dfs(start, end)函数返回以start，start+1，...，end为根的二叉查找树。"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def generateTrees(self, n):
"""一般这种要求列出所有可能结果的题目都用dfs :type n: int :rtype: List[TreeNode]"""
if n == 0:
return []
return self.dfs(1, n)
def dfs(self, start, end):
"""dfs(start, end)函数返回以start，start+1，...，end为根的二叉查找树。"""
if start > end:
... | the_stack_v2_python_sparse | tree/95_unique_binary_seach_tree_ii.py | lawtech0902/py_imooc_algorithm | train | 0 | |
da60763f50898ce774d8bc281289954d11f559f3 | [
"svc = self.App.get_service('bspump.PumpService')\nself.Pipeline = UnitTestPipeline(self.App, processor, *args, **kwargs)\nsvc.add_pipeline(self.Pipeline)",
"self.Pipeline.Source.Input = input_data\nself.Pipeline.unittest_start()\nself.App.run()\nreturn self.Pipeline.Sink.Output"
] | <|body_start_0|>
svc = self.App.get_service('bspump.PumpService')
self.Pipeline = UnitTestPipeline(self.App, processor, *args, **kwargs)
svc.add_pipeline(self.Pipeline)
<|end_body_0|>
<|body_start_1|>
self.Pipeline.Source.Input = input_data
self.Pipeline.unittest_start()
... | A class whose instances are single processor test cases. Test authors should subclass ProcessorTestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'setUp' and 'tearDown' methods respectively. See :class: `unittest.TestCase` for more de... | ProcessorTestCase | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProcessorTestCase:
"""A class whose instances are single processor test cases. Test authors should subclass ProcessorTestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'setUp' and 'tearDown' methods respectively... | stack_v2_sparse_classes_75kplus_train_002314 | 2,188 | permissive | [
{
"docstring": "Construct Pipeline from processor and appends it to PumpService :param processor: Processor you want to test :param args: Optional arguments for processor :param kwargs: Optional key-word arguments for processor",
"name": "set_up_processor",
"signature": "def set_up_processor(self, proce... | 2 | stack_v2_sparse_classes_30k_train_018372 | Implement the Python class `ProcessorTestCase` described below.
Class description:
A class whose instances are single processor test cases. Test authors should subclass ProcessorTestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'set... | Implement the Python class `ProcessorTestCase` described below.
Class description:
A class whose instances are single processor test cases. Test authors should subclass ProcessorTestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'set... | 11ee3689d0ff6e9b662deeb3fc5e18bb0aabc8f2 | <|skeleton|>
class ProcessorTestCase:
"""A class whose instances are single processor test cases. Test authors should subclass ProcessorTestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'setUp' and 'tearDown' methods respectively... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProcessorTestCase:
"""A class whose instances are single processor test cases. Test authors should subclass ProcessorTestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'setUp' and 'tearDown' methods respectively. See :class:... | the_stack_v2_python_sparse | bspump/unittest/unit_test_case.py | LibertyAces/BitSwanPump | train | 24 |
3f26ecf96c363269480e66adb644c08f0860e6ec | [
"data = request.json\nnodeid = data.get('nodeid')\nreport = ExecuteTools.invoke(nodeid)\napp.logger.info(f'添加一条task，报告为{report},执行用例为{nodeid}')\ntask = Task(remark=nodeid, report=report)\ndb.session.add(task)\ndb.session.commit()\ndb.session.close()\nreturn {'error': 0, 'msg': 'ok'}",
"tasks = Task.query.all()\nt... | <|body_start_0|>
data = request.json
nodeid = data.get('nodeid')
report = ExecuteTools.invoke(nodeid)
app.logger.info(f'添加一条task，报告为{report},执行用例为{nodeid}')
task = Task(remark=nodeid, report=report)
db.session.add(task)
db.session.commit()
db.session.close... | TaskService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskService:
def post(self):
"""1.调用jenkins执行用例 2.执行用例之后，写入执行记录到数据库表中 :return:"""
<|body_0|>
def get(self):
""":return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
data = request.json
nodeid = data.get('nodeid')
report = ExecuteT... | stack_v2_sparse_classes_75kplus_train_002315 | 1,578 | no_license | [
{
"docstring": "1.调用jenkins执行用例 2.执行用例之后，写入执行记录到数据库表中 :return:",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": ":return:",
"name": "get",
"signature": "def get(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034691 | Implement the Python class `TaskService` described below.
Class description:
Implement the TaskService class.
Method signatures and docstrings:
- def post(self): 1.调用jenkins执行用例 2.执行用例之后，写入执行记录到数据库表中 :return:
- def get(self): :return: | Implement the Python class `TaskService` described below.
Class description:
Implement the TaskService class.
Method signatures and docstrings:
- def post(self): 1.调用jenkins执行用例 2.执行用例之后，写入执行记录到数据库表中 :return:
- def get(self): :return:
<|skeleton|>
class TaskService:
def post(self):
"""1.调用jenkins执行用例 2.... | d32e4af68efc4eb935fe98d1f901f1408ed2e785 | <|skeleton|>
class TaskService:
def post(self):
"""1.调用jenkins执行用例 2.执行用例之后，写入执行记录到数据库表中 :return:"""
<|body_0|>
def get(self):
""":return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TaskService:
def post(self):
"""1.调用jenkins执行用例 2.执行用例之后，写入执行记录到数据库表中 :return:"""
data = request.json
nodeid = data.get('nodeid')
report = ExecuteTools.invoke(nodeid)
app.logger.info(f'添加一条task，报告为{report},执行用例为{nodeid}')
task = Task(remark=nodeid, report=report... | the_stack_v2_python_sparse | backend/apis/task.py | yangwei211/HogwartsSDET18 | train | 0 | |
751ff6d43d6f397a882cc923fb5f50dd40338910 | [
"self.filename = filename\nself.pauseBetweenChannels = pauseBetweenChannels\nprint('Using Rigol DP800 at {}'.format(self.filename))\nif type(channelNumbers) != list:\n print(\"Error: RigolDP800 channelNumbers argument is not list: '{}', exiting.\".format(channelNumbers))\n sys.exit(1)\nself.channels = channel... | <|body_start_0|>
self.filename = filename
self.pauseBetweenChannels = pauseBetweenChannels
print('Using Rigol DP800 at {}'.format(self.filename))
if type(channelNumbers) != list:
print("Error: RigolDP800 channelNumbers argument is not list: '{}', exiting.".format(channelNumbe... | Interface to Rigol DP800 Power Supply | RigolDP800 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RigolDP800:
"""Interface to Rigol DP800 Power Supply"""
def __init__(self, filename, channelNumbers, pauseBetweenChannels=2.0):
"""filename is a the path to a usbtmc object like /dev/usbtmc0. channelNumbers is a list of the channels to turn on e.g. ["CH1","CH2","CH3"]. All three chan... | stack_v2_sparse_classes_75kplus_train_002316 | 4,019 | no_license | [
{
"docstring": "filename is a the path to a usbtmc object like /dev/usbtmc0. channelNumbers is a list of the channels to turn on e.g. [\"CH1\",\"CH2\",\"CH3\"]. All three channels are turned off no matter what POWERSUPPLYCHANNELS is set to. pauseBetweenChannels is the amount of time in seconds to pause between ... | 4 | null | Implement the Python class `RigolDP800` described below.
Class description:
Interface to Rigol DP800 Power Supply
Method signatures and docstrings:
- def __init__(self, filename, channelNumbers, pauseBetweenChannels=2.0): filename is a the path to a usbtmc object like /dev/usbtmc0. channelNumbers is a list of the cha... | Implement the Python class `RigolDP800` described below.
Class description:
Interface to Rigol DP800 Power Supply
Method signatures and docstrings:
- def __init__(self, filename, channelNumbers, pauseBetweenChannels=2.0): filename is a the path to a usbtmc object like /dev/usbtmc0. channelNumbers is a list of the cha... | 50bf5ccc9ea9527d4032e0992fb70f598c236d37 | <|skeleton|>
class RigolDP800:
"""Interface to Rigol DP800 Power Supply"""
def __init__(self, filename, channelNumbers, pauseBetweenChannels=2.0):
"""filename is a the path to a usbtmc object like /dev/usbtmc0. channelNumbers is a list of the channels to turn on e.g. ["CH1","CH2","CH3"]. All three chan... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RigolDP800:
"""Interface to Rigol DP800 Power Supply"""
def __init__(self, filename, channelNumbers, pauseBetweenChannels=2.0):
"""filename is a the path to a usbtmc object like /dev/usbtmc0. channelNumbers is a list of the channels to turn on e.g. ["CH1","CH2","CH3"]. All three channels are turn... | the_stack_v2_python_sparse | femb_python/test_instrument_interface/rigol_dp800.py | DUNE/femb_python | train | 3 |
6cc867a52448833c098268ebf4a24ed38281bf6d | [
"self.number = num_cell\nself.name = name\nself.enemy_type = enemy_type\nself.final = final\nif final:\n self.enemy = self.enemy_selector()\n self.loot = None\nelse:\n self.determine_property()",
"result = randrange(0, 100)\nif result in range(0, 10):\n self.enemy = None\n self.loot = None\nelif re... | <|body_start_0|>
self.number = num_cell
self.name = name
self.enemy_type = enemy_type
self.final = final
if final:
self.enemy = self.enemy_selector()
self.loot = None
else:
self.determine_property()
<|end_body_0|>
<|body_start_1|>
... | The Cell class holds all the information about the current cell in a dungeon. | Cell | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cell:
"""The Cell class holds all the information about the current cell in a dungeon."""
def __init__(self, name, num_cell, enemy_type, final=False):
""":param name: The name of the dungeon (used in some cases to determine the cell's enemy). :param num_cell: The cell number (in the ... | stack_v2_sparse_classes_75kplus_train_002317 | 12,531 | no_license | [
{
"docstring": ":param name: The name of the dungeon (used in some cases to determine the cell's enemy). :param num_cell: The cell number (in the dungeon). :param enemy_type: The type of the enemy (for enemy selector). :param final: Boolean value that says whether or not we are in the dungeon's final cell. Init... | 4 | stack_v2_sparse_classes_30k_test_000494 | Implement the Python class `Cell` described below.
Class description:
The Cell class holds all the information about the current cell in a dungeon.
Method signatures and docstrings:
- def __init__(self, name, num_cell, enemy_type, final=False): :param name: The name of the dungeon (used in some cases to determine the... | Implement the Python class `Cell` described below.
Class description:
The Cell class holds all the information about the current cell in a dungeon.
Method signatures and docstrings:
- def __init__(self, name, num_cell, enemy_type, final=False): :param name: The name of the dungeon (used in some cases to determine the... | 6efca3dc9b33ad8ca7c4cde3ff032e5292b144a6 | <|skeleton|>
class Cell:
"""The Cell class holds all the information about the current cell in a dungeon."""
def __init__(self, name, num_cell, enemy_type, final=False):
""":param name: The name of the dungeon (used in some cases to determine the cell's enemy). :param num_cell: The cell number (in the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Cell:
"""The Cell class holds all the information about the current cell in a dungeon."""
def __init__(self, name, num_cell, enemy_type, final=False):
""":param name: The name of the dungeon (used in some cases to determine the cell's enemy). :param num_cell: The cell number (in the dungeon). :pa... | the_stack_v2_python_sparse | dungeon.py | NairVish/the-destroyers-destiny | train | 0 |
de7634f482ea3720b88610d28484805fb8693ea0 | [
"self.Wh = np.random.normal(size=(i + h, h))\nself.Wy = np.random.normal(size=(h, o))\nself.bh = np.zeros((1, h))\nself.by = np.zeros((1, o))",
"def softmax(x):\n \"\"\"Function that perform the softmax function\"\"\"\n e_x = np.exp(x - np.max(x, axis=1, keepdims=True))\n softmax = e_x / e_x.sum(axis=1, ... | <|body_start_0|>
self.Wh = np.random.normal(size=(i + h, h))
self.Wy = np.random.normal(size=(h, o))
self.bh = np.zeros((1, h))
self.by = np.zeros((1, o))
<|end_body_0|>
<|body_start_1|>
def softmax(x):
"""Function that perform the softmax function"""
e_x... | Class that represents a cell of a simple RNN | RNNCell | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RNNCell:
"""Class that represents a cell of a simple RNN"""
def __init__(self, i, h, o):
"""class constructor Args: i is the dimensionality of the data h is the dimensionality of the hidden state o is the dimensionality of the outputs Creates the public instance attributes Wh, Wy, bh... | stack_v2_sparse_classes_75kplus_train_002318 | 2,107 | no_license | [
{
"docstring": "class constructor Args: i is the dimensionality of the data h is the dimensionality of the hidden state o is the dimensionality of the outputs Creates the public instance attributes Wh, Wy, bh, by that represent the weights and biases of the cell Wh and bh are for the concatenated hidden state a... | 2 | stack_v2_sparse_classes_30k_train_011245 | Implement the Python class `RNNCell` described below.
Class description:
Class that represents a cell of a simple RNN
Method signatures and docstrings:
- def __init__(self, i, h, o): class constructor Args: i is the dimensionality of the data h is the dimensionality of the hidden state o is the dimensionality of the ... | Implement the Python class `RNNCell` described below.
Class description:
Class that represents a cell of a simple RNN
Method signatures and docstrings:
- def __init__(self, i, h, o): class constructor Args: i is the dimensionality of the data h is the dimensionality of the hidden state o is the dimensionality of the ... | e8a98d85b3bfd5665cb04bec9ee8c3eb23d6bd58 | <|skeleton|>
class RNNCell:
"""Class that represents a cell of a simple RNN"""
def __init__(self, i, h, o):
"""class constructor Args: i is the dimensionality of the data h is the dimensionality of the hidden state o is the dimensionality of the outputs Creates the public instance attributes Wh, Wy, bh... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RNNCell:
"""Class that represents a cell of a simple RNN"""
def __init__(self, i, h, o):
"""class constructor Args: i is the dimensionality of the data h is the dimensionality of the hidden state o is the dimensionality of the outputs Creates the public instance attributes Wh, Wy, bh, by that rep... | the_stack_v2_python_sparse | supervised_learning/0x0D-RNNs/0-rnn_cell.py | AndrewMiranda/holbertonschool-machine_learning-1 | train | 0 |
6602b1676d3bf631d02bd323d232eaaf9ae4c808 | [
"self.object = object\nself.object_progress_monitor_task_path = object_progress_monitor_task_path\nself.preprocessing_error = preprocessing_error\nself.task_id = task_id",
"if dictionary is None:\n return None\nobject = cohesity_management_sdk.models.restore_object.RestoreObject.from_dictionary(dictionary.get(... | <|body_start_0|>
self.object = object
self.object_progress_monitor_task_path = object_progress_monitor_task_path
self.preprocessing_error = preprocessing_error
self.task_id = task_id
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
object = ... | Implementation of the 'PerformRestoreJobStateProto_RestoreTask' model. Information of the object being restored along with the info of the task tracking the restore of that object. Attributes: object (RestoreObject): Information of the object being restored (along with the snapshot it is being restored from). object_pr... | PerformRestoreJobStateProto_RestoreTask | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PerformRestoreJobStateProto_RestoreTask:
"""Implementation of the 'PerformRestoreJobStateProto_RestoreTask' model. Information of the object being restored along with the info of the task tracking the restore of that object. Attributes: object (RestoreObject): Information of the object being rest... | stack_v2_sparse_classes_75kplus_train_002319 | 3,283 | permissive | [
{
"docstring": "Constructor for the PerformRestoreJobStateProto_RestoreTask class",
"name": "__init__",
"signature": "def __init__(self, object=None, object_progress_monitor_task_path=None, preprocessing_error=None, task_id=None)"
},
{
"docstring": "Creates an instance of this model from a dicti... | 2 | null | Implement the Python class `PerformRestoreJobStateProto_RestoreTask` described below.
Class description:
Implementation of the 'PerformRestoreJobStateProto_RestoreTask' model. Information of the object being restored along with the info of the task tracking the restore of that object. Attributes: object (RestoreObject... | Implement the Python class `PerformRestoreJobStateProto_RestoreTask` described below.
Class description:
Implementation of the 'PerformRestoreJobStateProto_RestoreTask' model. Information of the object being restored along with the info of the task tracking the restore of that object. Attributes: object (RestoreObject... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class PerformRestoreJobStateProto_RestoreTask:
"""Implementation of the 'PerformRestoreJobStateProto_RestoreTask' model. Information of the object being restored along with the info of the task tracking the restore of that object. Attributes: object (RestoreObject): Information of the object being rest... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PerformRestoreJobStateProto_RestoreTask:
"""Implementation of the 'PerformRestoreJobStateProto_RestoreTask' model. Information of the object being restored along with the info of the task tracking the restore of that object. Attributes: object (RestoreObject): Information of the object being restored (along w... | the_stack_v2_python_sparse | cohesity_management_sdk/models/perform_restore_job_state_proto_restore_task.py | cohesity/management-sdk-python | train | 24 |
5eb1f465536c28027753d5584b067ed8b3fac232 | [
"super().__init__(host, port, timeout, **kwargs)\nif hasattr(input, 'read'):\n self.fileobj = input\nelif input == '-':\n self.fileobj = sys.stdin\nelse:\n self.fileobj = open(input, 'rb')\nlogger.debug('tftpy.context.client.upload.__init__()')\nlogger.debug(f' file_to_transfer = {self.file_to_transfer}, o... | <|body_start_0|>
super().__init__(host, port, timeout, **kwargs)
if hasattr(input, 'read'):
self.fileobj = input
elif input == '-':
self.fileobj = sys.stdin
else:
self.fileobj = open(input, 'rb')
logger.debug('tftpy.context.client.upload.__init... | The upload context for the client during an upload. Note: If input is a hyphen, then we will use stdin. | Upload | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Upload:
"""The upload context for the client during an upload. Note: If input is a hyphen, then we will use stdin."""
def __init__(self, host: str, port: int, timeout: int, input: Union[IOBase, str], **kwargs) -> None:
"""Upload context for uploading data to a server. Args: host (str... | stack_v2_sparse_classes_75kplus_train_002320 | 6,966 | permissive | [
{
"docstring": "Upload context for uploading data to a server. Args: host (str): Server Address port (int): Server Port timeout (int): socket timeout input ([IOBase,str]): Input data, can be one of - An open file object - A path to a file - a '-' indicating read from STDIN",
"name": "__init__",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_023707 | Implement the Python class `Upload` described below.
Class description:
The upload context for the client during an upload. Note: If input is a hyphen, then we will use stdin.
Method signatures and docstrings:
- def __init__(self, host: str, port: int, timeout: int, input: Union[IOBase, str], **kwargs) -> None: Uploa... | Implement the Python class `Upload` described below.
Class description:
The upload context for the client during an upload. Note: If input is a hyphen, then we will use stdin.
Method signatures and docstrings:
- def __init__(self, host: str, port: int, timeout: int, input: Union[IOBase, str], **kwargs) -> None: Uploa... | 9c171c7e969b80f2c00728df21d5534b3191620a | <|skeleton|>
class Upload:
"""The upload context for the client during an upload. Note: If input is a hyphen, then we will use stdin."""
def __init__(self, host: str, port: int, timeout: int, input: Union[IOBase, str], **kwargs) -> None:
"""Upload context for uploading data to a server. Args: host (str... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Upload:
"""The upload context for the client during an upload. Note: If input is a hyphen, then we will use stdin."""
def __init__(self, host: str, port: int, timeout: int, input: Union[IOBase, str], **kwargs) -> None:
"""Upload context for uploading data to a server. Args: host (str): Server Add... | the_stack_v2_python_sparse | tftpy/context/client.py | jcarswell/tftpy | train | 0 |
d4ec8f8729eecd0b281f940eee5246c88529ae16 | [
"stk = collections.deque()\nret = ''\nwhile root is not None or len(stk):\n if root is not None:\n ret += ',' + str(root.val) + ':' + str(len(root.children))\n if len(root.children):\n stk.append([root, 1])\n root = root.children[0]\n else:\n root = None\n ... | <|body_start_0|>
stk = collections.deque()
ret = ''
while root is not None or len(stk):
if root is not None:
ret += ',' + str(root.val) + ':' + str(len(root.children))
if len(root.children):
stk.append([root, 1])
... | Codec2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec2:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_75kplus_train_002321 | 4,629 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: Node :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: Node",
"name": "deserialize",
"signature": "def deserialize(self, ... | 2 | stack_v2_sparse_classes_30k_train_018126 | Implement the Python class `Codec2` described below.
Class description:
Implement the Codec2 class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: N... | Implement the Python class `Codec2` described below.
Class description:
Implement the Codec2 class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: N... | 9190d3d178f1733aa226973757ee7e045b7bab00 | <|skeleton|>
class Codec2:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec2:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
stk = collections.deque()
ret = ''
while root is not None or len(stk):
if root is not None:
ret += ',' + str(root.val) + ':' + str(len(root.child... | the_stack_v2_python_sparse | SerializeAndDeserializeN-aryTree.py | ellinx/LC-python | train | 1 | |
32386b116366ad506499352b7802573b8a14b170 | [
"self._hass = hass\nself._recp_nrs = recp_nrs\nself._signal_cli_rest_api = signal_cli_rest_api",
"_LOGGER.debug('Sending signal message')\ndata = kwargs.get(ATTR_DATA)\ntry:\n data = DATA_SCHEMA(data)\nexcept vol.Invalid as ex:\n _LOGGER.error('Invalid message data: %s', ex)\n raise ex\nfilenames = self.... | <|body_start_0|>
self._hass = hass
self._recp_nrs = recp_nrs
self._signal_cli_rest_api = signal_cli_rest_api
<|end_body_0|>
<|body_start_1|>
_LOGGER.debug('Sending signal message')
data = kwargs.get(ATTR_DATA)
try:
data = DATA_SCHEMA(data)
except vol.... | Implement the notification service for SignalMessenger. | SignalNotificationService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignalNotificationService:
"""Implement the notification service for SignalMessenger."""
def __init__(self, hass: HomeAssistant, recp_nrs: list[str], signal_cli_rest_api: SignalCliRestApi) -> None:
"""Initialize the service."""
<|body_0|>
def send_message(self, message: ... | stack_v2_sparse_classes_75kplus_train_002322 | 5,525 | permissive | [
{
"docstring": "Initialize the service.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, recp_nrs: list[str], signal_cli_rest_api: SignalCliRestApi) -> None"
},
{
"docstring": "Send a message to a one or more recipients. Additionally a file can be attached.",
"name... | 4 | stack_v2_sparse_classes_30k_train_036035 | Implement the Python class `SignalNotificationService` described below.
Class description:
Implement the notification service for SignalMessenger.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, recp_nrs: list[str], signal_cli_rest_api: SignalCliRestApi) -> None: Initialize the service.
- ... | Implement the Python class `SignalNotificationService` described below.
Class description:
Implement the notification service for SignalMessenger.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, recp_nrs: list[str], signal_cli_rest_api: SignalCliRestApi) -> None: Initialize the service.
- ... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class SignalNotificationService:
"""Implement the notification service for SignalMessenger."""
def __init__(self, hass: HomeAssistant, recp_nrs: list[str], signal_cli_rest_api: SignalCliRestApi) -> None:
"""Initialize the service."""
<|body_0|>
def send_message(self, message: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignalNotificationService:
"""Implement the notification service for SignalMessenger."""
def __init__(self, hass: HomeAssistant, recp_nrs: list[str], signal_cli_rest_api: SignalCliRestApi) -> None:
"""Initialize the service."""
self._hass = hass
self._recp_nrs = recp_nrs
s... | the_stack_v2_python_sparse | homeassistant/components/signal_messenger/notify.py | home-assistant/core | train | 35,501 |
721c8c17a7cf7a2aab2e991f5334a2b6eb901693 | [
"self.data = data\nself.test_data = test_data\nself.validation_data = validation_data\nself.input_shape = input_shape\nself.output_units = output_units\nself.color_mode = color_mode\nself.batch_size = batch_size\nself.class_mode = class_mode\nif self.data.upper() == DATASET_MNIST:\n self.__mnist()\nelif self.dat... | <|body_start_0|>
self.data = data
self.test_data = test_data
self.validation_data = validation_data
self.input_shape = input_shape
self.output_units = output_units
self.color_mode = color_mode
self.batch_size = batch_size
self.class_mode = class_mode
... | load dataset | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""load dataset"""
def __init__(self, data: Text, test_data: Text='', validation_data: Text='', input_shape: Union[None, Tuple[int, int, int]]=None, output_units: int=None, color_mode: Text='rgb', batch_size: int=32, class_mode: Text='categorical'):
""":param data: dataset n... | stack_v2_sparse_classes_75kplus_train_002323 | 5,791 | no_license | [
{
"docstring": ":param data: dataset name or directory path. If specify detectory path, the sub directory names have to be the class names and the no. of sub directories must be equal to the no. of classes. :param input_shape: input shape in the format (H,W,D). This has to be specified if using own dataset, nam... | 4 | null | Implement the Python class `Dataset` described below.
Class description:
load dataset
Method signatures and docstrings:
- def __init__(self, data: Text, test_data: Text='', validation_data: Text='', input_shape: Union[None, Tuple[int, int, int]]=None, output_units: int=None, color_mode: Text='rgb', batch_size: int=32... | Implement the Python class `Dataset` described below.
Class description:
load dataset
Method signatures and docstrings:
- def __init__(self, data: Text, test_data: Text='', validation_data: Text='', input_shape: Union[None, Tuple[int, int, int]]=None, output_units: int=None, color_mode: Text='rgb', batch_size: int=32... | 258ba6003e604228a92a1574bcb7f09ee5f3f000 | <|skeleton|>
class Dataset:
"""load dataset"""
def __init__(self, data: Text, test_data: Text='', validation_data: Text='', input_shape: Union[None, Tuple[int, int, int]]=None, output_units: int=None, color_mode: Text='rgb', batch_size: int=32, class_mode: Text='categorical'):
""":param data: dataset n... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dataset:
"""load dataset"""
def __init__(self, data: Text, test_data: Text='', validation_data: Text='', input_shape: Union[None, Tuple[int, int, int]]=None, output_units: int=None, color_mode: Text='rgb', batch_size: int=32, class_mode: Text='categorical'):
""":param data: dataset name or direct... | the_stack_v2_python_sparse | dataset.py | reouno/tf-image-classifiers | train | 0 |
8214ab22672aaa0e876cc392d015f1204961491a | [
"if dataset not in datasets_list:\n print('Existing datasets are: ', datasets_list)\n raise\nself.dataset = datasets_list.index(dataset)\nself.batch = minibatch * num_workers\nself.num_workers = num_workers\nself.num_ps = size - num_workers\nself.rank = rank",
"homedir = str(pathlib.Path.home())\nif dataset... | <|body_start_0|>
if dataset not in datasets_list:
print('Existing datasets are: ', datasets_list)
raise
self.dataset = datasets_list.index(dataset)
self.batch = minibatch * num_workers
self.num_workers = num_workers
self.num_ps = size - num_workers
... | Manages training and test sets | DatasetManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatasetManager:
"""Manages training and test sets"""
def __init__(self, dataset, minibatch, num_workers, size, rank):
"""Constrctor of DatasetManager Object Args dataset dataset name to be used batch minibatch size to be employed by each worker num_workers number of works employed in... | stack_v2_sparse_classes_75kplus_train_002324 | 6,704 | permissive | [
{
"docstring": "Constrctor of DatasetManager Object Args dataset dataset name to be used batch minibatch size to be employed by each worker num_workers number of works employed in the setup rabk rank of the current worker",
"name": "__init__",
"signature": "def __init__(self, dataset, minibatch, num_wor... | 4 | stack_v2_sparse_classes_30k_train_006331 | Implement the Python class `DatasetManager` described below.
Class description:
Manages training and test sets
Method signatures and docstrings:
- def __init__(self, dataset, minibatch, num_workers, size, rank): Constrctor of DatasetManager Object Args dataset dataset name to be used batch minibatch size to be employ... | Implement the Python class `DatasetManager` described below.
Class description:
Manages training and test sets
Method signatures and docstrings:
- def __init__(self, dataset, minibatch, num_workers, size, rank): Constrctor of DatasetManager Object Args dataset dataset name to be used batch minibatch size to be employ... | f784cfd4cc2f34879abb287ef32c586243ee5b0c | <|skeleton|>
class DatasetManager:
"""Manages training and test sets"""
def __init__(self, dataset, minibatch, num_workers, size, rank):
"""Constrctor of DatasetManager Object Args dataset dataset name to be used batch minibatch size to be employed by each worker num_workers number of works employed in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DatasetManager:
"""Manages training and test sets"""
def __init__(self, dataset, minibatch, num_workers, size, rank):
"""Constrctor of DatasetManager Object Args dataset dataset name to be used batch minibatch size to be employed by each worker num_workers number of works employed in the setup ra... | the_stack_v2_python_sparse | pytorch_impl/applications/Garfield_CC/datasets.py | yanlili1995/Garfield | train | 0 |
8937ac05dd262b6f6ae235f2d4436c1aa90585fa | [
"self.rule_name = rule_name\nself.rule_index = rule_index\nself.rules = rules",
"matched_resources = []\napplies_to_user = True\nfor resource in self.rules['ancestor_resources']:\n if resource in ancestry:\n matched_resources.append(resource)\nif 'users' in list(self.rules.keys()):\n if user_email no... | <|body_start_0|>
self.rule_name = rule_name
self.rule_index = rule_index
self.rules = rules
<|end_body_0|>
<|body_start_1|>
matched_resources = []
applies_to_user = True
for resource in self.rules['ancestor_resources']:
if resource in ancestry:
... | Rule properties from the rule definition file. Also finds violations. | Rule | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rule:
"""Rule properties from the rule definition file. Also finds violations."""
def __init__(self, rule_name, rule_index, rules):
"""Initialize. Args: rule_name (str): Name of the loaded rule rule_index (int): The index of the rule from the rule definitions rules (dict): The ancest... | stack_v2_sparse_classes_75kplus_train_002325 | 11,445 | permissive | [
{
"docstring": "Initialize. Args: rule_name (str): Name of the loaded rule rule_index (int): The index of the rule from the rule definitions rules (dict): The ancestor from the rule from the file",
"name": "__init__",
"signature": "def __init__(self, rule_name, rule_index, rules)"
},
{
"docstrin... | 2 | null | Implement the Python class `Rule` described below.
Class description:
Rule properties from the rule definition file. Also finds violations.
Method signatures and docstrings:
- def __init__(self, rule_name, rule_index, rules): Initialize. Args: rule_name (str): Name of the loaded rule rule_index (int): The index of th... | Implement the Python class `Rule` described below.
Class description:
Rule properties from the rule definition file. Also finds violations.
Method signatures and docstrings:
- def __init__(self, rule_name, rule_index, rules): Initialize. Args: rule_name (str): Name of the loaded rule rule_index (int): The index of th... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class Rule:
"""Rule properties from the rule definition file. Also finds violations."""
def __init__(self, rule_name, rule_index, rules):
"""Initialize. Args: rule_name (str): Name of the loaded rule rule_index (int): The index of the rule from the rule definitions rules (dict): The ancest... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Rule:
"""Rule properties from the rule definition file. Also finds violations."""
def __init__(self, rule_name, rule_index, rules):
"""Initialize. Args: rule_name (str): Name of the loaded rule rule_index (int): The index of the rule from the rule definitions rules (dict): The ancestor from the r... | the_stack_v2_python_sparse | google/cloud/forseti/scanner/audit/external_project_access_rules_engine.py | kevensen/forseti-security | train | 1 |
4f4f530cda1eff18842990d24468d879711a7aa1 | [
"self.input_type = input_type\nif input_type == 'file':\n self.cap = cv2.VideoCapture(file_path)\nelse:\n self.cap = cv2.VideoCapture(0)\n ret, frame = self.cap.read()\ncascPath = configuration.MODEL_PATH + 'haarcascade_frontalface_alt.xml'\nself.faceCascade = cv2.CascadeClassifier(cascPath)\nself.file_nam... | <|body_start_0|>
self.input_type = input_type
if input_type == 'file':
self.cap = cv2.VideoCapture(file_path)
else:
self.cap = cv2.VideoCapture(0)
ret, frame = self.cap.read()
cascPath = configuration.MODEL_PATH + 'haarcascade_frontalface_alt.xml'
... | This class is used to return the face data in real time. Attribute: cap: the capture stream faceCascade: model for detecting where the face is. file_name: the file name of the current frame in hard disk delete_queue: the queue is used to save all the delete file name faces: the faces for predicting the emotion, we used... | FaceReader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FaceReader:
"""This class is used to return the face data in real time. Attribute: cap: the capture stream faceCascade: model for detecting where the face is. file_name: the file name of the current frame in hard disk delete_queue: the queue is used to save all the delete file name faces: the fac... | stack_v2_sparse_classes_75kplus_train_002326 | 16,328 | permissive | [
{
"docstring": "Arguments: input_type: 'file' indicates that the stream is from file. In other case, the stream will from the defalt camera.",
"name": "__init__",
"signature": "def __init__(self, input_type, file_path=None)"
},
{
"docstring": "delete files for releasing the resourse.",
"name... | 5 | stack_v2_sparse_classes_30k_train_020294 | Implement the Python class `FaceReader` described below.
Class description:
This class is used to return the face data in real time. Attribute: cap: the capture stream faceCascade: model for detecting where the face is. file_name: the file name of the current frame in hard disk delete_queue: the queue is used to save ... | Implement the Python class `FaceReader` described below.
Class description:
This class is used to return the face data in real time. Attribute: cap: the capture stream faceCascade: model for detecting where the face is. file_name: the file name of the current frame in hard disk delete_queue: the queue is used to save ... | 531f646dcb493dce2575af3b9d77403ebc1f4a35 | <|skeleton|>
class FaceReader:
"""This class is used to return the face data in real time. Attribute: cap: the capture stream faceCascade: model for detecting where the face is. file_name: the file name of the current frame in hard disk delete_queue: the queue is used to save all the delete file name faces: the fac... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FaceReader:
"""This class is used to return the face data in real time. Attribute: cap: the capture stream faceCascade: model for detecting where the face is. file_name: the file name of the current frame in hard disk delete_queue: the queue is used to save all the delete file name faces: the faces for predic... | the_stack_v2_python_sparse | MindLink-Eumpy/real_time_detection/GUI/MLE_tool/tool.py | wozu-dichter/MindLink-Explorer | train | 0 |
d427e69955aec828ab2d5af1b70d9199edcb1b64 | [
"if self.image_gravatar:\n return conference.gravatar.gravatar(self.profile.user.email)\nelif self.image_url:\n return self.image_url\nelif self.profile.image:\n return self.profile.image.url\nreturn settings.STATIC_URL + settings.P3_ANONYMOUS_AVATAR",
"if self.profile.visibility != 'x':\n url = self.... | <|body_start_0|>
if self.image_gravatar:
return conference.gravatar.gravatar(self.profile.user.email)
elif self.image_url:
return self.image_url
elif self.profile.image:
return self.profile.image.url
return settings.STATIC_URL + settings.P3_ANONYMOUS_A... | P3Profile | [
"BSD-3-Clause",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class P3Profile:
def profile_image_url(self):
"""Return the url of the image that the user has associated with his profile."""
<|body_0|>
def public_profile_image_url(self):
"""Like `profile_image_url` but takes into account the visibility rules of the profile."""
... | stack_v2_sparse_classes_75kplus_train_002327 | 5,965 | permissive | [
{
"docstring": "Return the url of the image that the user has associated with his profile.",
"name": "profile_image_url",
"signature": "def profile_image_url(self)"
},
{
"docstring": "Like `profile_image_url` but takes into account the visibility rules of the profile.",
"name": "public_profi... | 2 | stack_v2_sparse_classes_30k_train_052503 | Implement the Python class `P3Profile` described below.
Class description:
Implement the P3Profile class.
Method signatures and docstrings:
- def profile_image_url(self): Return the url of the image that the user has associated with his profile.
- def public_profile_image_url(self): Like `profile_image_url` but takes... | Implement the Python class `P3Profile` described below.
Class description:
Implement the P3Profile class.
Method signatures and docstrings:
- def profile_image_url(self): Return the url of the image that the user has associated with his profile.
- def public_profile_image_url(self): Like `profile_image_url` but takes... | 341c22649ff4ec858fc710821303cf3b78aa59e6 | <|skeleton|>
class P3Profile:
def profile_image_url(self):
"""Return the url of the image that the user has associated with his profile."""
<|body_0|>
def public_profile_image_url(self):
"""Like `profile_image_url` but takes into account the visibility rules of the profile."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class P3Profile:
def profile_image_url(self):
"""Return the url of the image that the user has associated with his profile."""
if self.image_gravatar:
return conference.gravatar.gravatar(self.profile.user.email)
elif self.image_url:
return self.image_url
elif ... | the_stack_v2_python_sparse | p3/models.py | EuroPython/epcon | train | 40 | |
3aa7615a81264d3449620b439a546b5722c01974 | [
"self.city = city\nself.country = country\nself.department = department\nself.designation = designation\nself.graph_uuid = graph_uuid\nself.is_mailbox_enabled = is_mailbox_enabled\nself.is_one_drive_enabled = is_one_drive_enabled\nself.mailbox_size = mailbox_size\nself.mailbox_type = mailbox_type\nself.one_drive_id... | <|body_start_0|>
self.city = city
self.country = country
self.department = department
self.designation = designation
self.graph_uuid = graph_uuid
self.is_mailbox_enabled = is_mailbox_enabled
self.is_one_drive_enabled = is_one_drive_enabled
self.mailbox_siz... | Implementation of the 'Office365UserInfo' model. Specifies information about an Office365 user. Attributes: city (string): Specifies the city in which the Office365 user is located. country (string): Specifies the country/region in which the Office365 user is located. department (string): Specifies the department withi... | Office365UserInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Office365UserInfo:
"""Implementation of the 'Office365UserInfo' model. Specifies information about an Office365 user. Attributes: city (string): Specifies the city in which the Office365 user is located. country (string): Specifies the country/region in which the Office365 user is located. depart... | stack_v2_sparse_classes_75kplus_train_002328 | 4,615 | permissive | [
{
"docstring": "Constructor for the Office365UserInfo class",
"name": "__init__",
"signature": "def __init__(self, city=None, country=None, department=None, designation=None, graph_uuid=None, is_mailbox_enabled=None, is_one_drive_enabled=None, mailbox_size=None, mailbox_type=None, one_drive_id=None, one... | 2 | stack_v2_sparse_classes_30k_train_025157 | Implement the Python class `Office365UserInfo` described below.
Class description:
Implementation of the 'Office365UserInfo' model. Specifies information about an Office365 user. Attributes: city (string): Specifies the city in which the Office365 user is located. country (string): Specifies the country/region in whic... | Implement the Python class `Office365UserInfo` described below.
Class description:
Implementation of the 'Office365UserInfo' model. Specifies information about an Office365 user. Attributes: city (string): Specifies the city in which the Office365 user is located. country (string): Specifies the country/region in whic... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class Office365UserInfo:
"""Implementation of the 'Office365UserInfo' model. Specifies information about an Office365 user. Attributes: city (string): Specifies the city in which the Office365 user is located. country (string): Specifies the country/region in which the Office365 user is located. depart... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Office365UserInfo:
"""Implementation of the 'Office365UserInfo' model. Specifies information about an Office365 user. Attributes: city (string): Specifies the city in which the Office365 user is located. country (string): Specifies the country/region in which the Office365 user is located. department (string)... | the_stack_v2_python_sparse | cohesity_management_sdk/models/office_365_user_info.py | cohesity/management-sdk-python | train | 24 |
9617fb23732c8e85ee2a34c0cab93060000b1f16 | [
"self.user_email = user_email\nself.msg = EmailMessage()\nself.user_id = user_id\nself.e_mail = 'mudcakegame@gmail.com'",
"with smtplib.SMTP_SSL('smtp.gmail.com', 465, context=ssl.create_default_context()) as server:\n server.login(self.e_mail, bytes(b'$9PLnJ5NsB#!').decode('utf8', 'strict'))\n server.send_... | <|body_start_0|>
self.user_email = user_email
self.msg = EmailMessage()
self.user_id = user_id
self.e_mail = 'mudcakegame@gmail.com'
<|end_body_0|>
<|body_start_1|>
with smtplib.SMTP_SSL('smtp.gmail.com', 465, context=ssl.create_default_context()) as server:
server.l... | Basic class for interaction to User via email | EmailSender | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailSender:
"""Basic class for interaction to User via email"""
def __init__(self, user_email, user_id: str):
"""Constructor for email Sender to initiate needed parameters :param user_email: email of the recipient - String :param token: Token to verify User after email confirmation ... | stack_v2_sparse_classes_75kplus_train_002329 | 4,834 | permissive | [
{
"docstring": "Constructor for email Sender to initiate needed parameters :param user_email: email of the recipient - String :param token: Token to verify User after email confirmation - String",
"name": "__init__",
"signature": "def __init__(self, user_email, user_id: str)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_026758 | Implement the Python class `EmailSender` described below.
Class description:
Basic class for interaction to User via email
Method signatures and docstrings:
- def __init__(self, user_email, user_id: str): Constructor for email Sender to initiate needed parameters :param user_email: email of the recipient - String :pa... | Implement the Python class `EmailSender` described below.
Class description:
Basic class for interaction to User via email
Method signatures and docstrings:
- def __init__(self, user_email, user_id: str): Constructor for email Sender to initiate needed parameters :param user_email: email of the recipient - String :pa... | 70144e1436a86c476302754c0233a4e4c8180457 | <|skeleton|>
class EmailSender:
"""Basic class for interaction to User via email"""
def __init__(self, user_email, user_id: str):
"""Constructor for email Sender to initiate needed parameters :param user_email: email of the recipient - String :param token: Token to verify User after email confirmation ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailSender:
"""Basic class for interaction to User via email"""
def __init__(self, user_email, user_id: str):
"""Constructor for email Sender to initiate needed parameters :param user_email: email of the recipient - String :param token: Token to verify User after email confirmation - String"""
... | the_stack_v2_python_sparse | Backend/EmailServices/EmailSender.py | LukasKlein00/SWEProjekt2021 | train | 6 |
22801a789db6c543f97a0eba0d17f7cc8f0a6a3d | [
"self._release_name = release_name\nprefix_lambda = lambda x: os.path.join(self.RULES_DIR, x) if not self.RULES_DIR in x else x\nself._rules = list(map(prefix_lambda, rules))",
"try:\n packages = PackagerUtil.make_packages(self._rules)\nexcept PackagerUtilError:\n raise Error('one or more of the packages co... | <|body_start_0|>
self._release_name = release_name
prefix_lambda = lambda x: os.path.join(self.RULES_DIR, x) if not self.RULES_DIR in x else x
self._rules = list(map(prefix_lambda, rules))
<|end_body_0|>
<|body_start_1|>
try:
packages = PackagerUtil.make_packages(self._rules... | UpdatePackages | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdatePackages:
def __init__(self, release_name, rules):
"""Args: release_name (string) - string name of release in the releases.yaml rules (list) - the list of rules to build OR if the RULES_DIR directory is not specified as part of the path. prefix the path e.g. for client, the package... | stack_v2_sparse_classes_75kplus_train_002330 | 4,028 | permissive | [
{
"docstring": "Args: release_name (string) - string name of release in the releases.yaml rules (list) - the list of rules to build OR if the RULES_DIR directory is not specified as part of the path. prefix the path e.g. for client, the package becomes os.path.join(RULES_DIR, 'client')",
"name": "__init__",... | 2 | stack_v2_sparse_classes_30k_train_008455 | Implement the Python class `UpdatePackages` described below.
Class description:
Implement the UpdatePackages class.
Method signatures and docstrings:
- def __init__(self, release_name, rules): Args: release_name (string) - string name of release in the releases.yaml rules (list) - the list of rules to build OR if the... | Implement the Python class `UpdatePackages` described below.
Class description:
Implement the UpdatePackages class.
Method signatures and docstrings:
- def __init__(self, release_name, rules): Args: release_name (string) - string name of release in the releases.yaml rules (list) - the list of rules to build OR if the... | 70280110ec342a6f6db1c102e96756fcc3c3c01b | <|skeleton|>
class UpdatePackages:
def __init__(self, release_name, rules):
"""Args: release_name (string) - string name of release in the releases.yaml rules (list) - the list of rules to build OR if the RULES_DIR directory is not specified as part of the path. prefix the path e.g. for client, the package... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdatePackages:
def __init__(self, release_name, rules):
"""Args: release_name (string) - string name of release in the releases.yaml rules (list) - the list of rules to build OR if the RULES_DIR directory is not specified as part of the path. prefix the path e.g. for client, the package becomes os.pa... | the_stack_v2_python_sparse | pylib/mps/update_packages.py | room77/py77 | train | 0 | |
03ef2d1b7ccd3387384920667193fdba7791550b | [
"i = 1\nlistUsername = ['185']\nwhile i <= 8:\n Usernamecode = str(random.choice(range(10)))\n listUsername.append(Usernamecode)\n i += 1\nlogging.info(f'手机号为:{listUsername}')\nreturn ''.join(listUsername)",
"i = 1\nlist_username_i_d = ['2321']\nwhile i <= 14:\n Usernamecode = str(random.choice(range(... | <|body_start_0|>
i = 1
listUsername = ['185']
while i <= 8:
Usernamecode = str(random.choice(range(10)))
listUsername.append(Usernamecode)
i += 1
logging.info(f'手机号为:{listUsername}')
return ''.join(listUsername)
<|end_body_0|>
<|body_start_1|>... | myMethod | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class myMethod:
def randomTel(self):
""":return: 封装一个随机生成电话号码的方法,默认方法首位字母为185，其余八位随机"""
<|body_0|>
def randomID(self):
""":return:身份证号码"""
<|body_1|>
def bankId(self):
""":return: 银行卡号 6212260200094536345"""
<|body_2|>
def wait_time(self, ... | stack_v2_sparse_classes_75kplus_train_002331 | 14,739 | no_license | [
{
"docstring": ":return: 封装一个随机生成电话号码的方法,默认方法首位字母为185，其余八位随机",
"name": "randomTel",
"signature": "def randomTel(self)"
},
{
"docstring": ":return:身份证号码",
"name": "randomID",
"signature": "def randomID(self)"
},
{
"docstring": ":return: 银行卡号 6212260200094536345",
"name": "bank... | 4 | stack_v2_sparse_classes_30k_train_014550 | Implement the Python class `myMethod` described below.
Class description:
Implement the myMethod class.
Method signatures and docstrings:
- def randomTel(self): :return: 封装一个随机生成电话号码的方法,默认方法首位字母为185，其余八位随机
- def randomID(self): :return:身份证号码
- def bankId(self): :return: 银行卡号 6212260200094536345
- def wait_time(self, ... | Implement the Python class `myMethod` described below.
Class description:
Implement the myMethod class.
Method signatures and docstrings:
- def randomTel(self): :return: 封装一个随机生成电话号码的方法,默认方法首位字母为185，其余八位随机
- def randomID(self): :return:身份证号码
- def bankId(self): :return: 银行卡号 6212260200094536345
- def wait_time(self, ... | 93fe784a3127e76995e9ae018605efbe78238385 | <|skeleton|>
class myMethod:
def randomTel(self):
""":return: 封装一个随机生成电话号码的方法,默认方法首位字母为185，其余八位随机"""
<|body_0|>
def randomID(self):
""":return:身份证号码"""
<|body_1|>
def bankId(self):
""":return: 银行卡号 6212260200094536345"""
<|body_2|>
def wait_time(self, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class myMethod:
def randomTel(self):
""":return: 封装一个随机生成电话号码的方法,默认方法首位字母为185，其余八位随机"""
i = 1
listUsername = ['185']
while i <= 8:
Usernamecode = str(random.choice(range(10)))
listUsername.append(Usernamecode)
i += 1
logging.info(f'手机号为:{li... | the_stack_v2_python_sparse | 早期/熊猫.py | huangno27/learn | train | 0 | |
1787709b626fe7ffd6196332cfb472b62d3a2e97 | [
"n = len(s)\nans = 0\n\ndef check(x):\n m = len(x)\n f1, f0 = (x[:m / 2].count('1'), x[:m / 2].count('0'))\n l1, l0 = (x[m / 2:].count('1'), x[m / 2:].count('0'))\n return f0 == 0 and l1 == 0 or (f1 == 0 and l0 == 0)\nfor l in xrange(2, n + 1, 2):\n for i in xrange(n - l + 1):\n if check(s[i:i... | <|body_start_0|>
n = len(s)
ans = 0
def check(x):
m = len(x)
f1, f0 = (x[:m / 2].count('1'), x[:m / 2].count('0'))
l1, l0 = (x[m / 2:].count('1'), x[m / 2:].count('0'))
return f0 == 0 and l1 == 0 or (f1 == 0 and l0 == 0)
for l in xrange(2,... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countBinarySubstringsTLE(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def countBinarySubstrings(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(s)
ans = 0
def check(... | stack_v2_sparse_classes_75kplus_train_002332 | 1,394 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "countBinarySubstringsTLE",
"signature": "def countBinarySubstringsTLE(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "countBinarySubstrings",
"signature": "def countBinarySubstrings(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008053 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countBinarySubstringsTLE(self, s): :type s: str :rtype: int
- def countBinarySubstrings(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countBinarySubstringsTLE(self, s): :type s: str :rtype: int
- def countBinarySubstrings(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def countBinaryS... | 02ebe56cd92b9f4baeee132c5077892590018650 | <|skeleton|>
class Solution:
def countBinarySubstringsTLE(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def countBinarySubstrings(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def countBinarySubstringsTLE(self, s):
""":type s: str :rtype: int"""
n = len(s)
ans = 0
def check(x):
m = len(x)
f1, f0 = (x[:m / 2].count('1'), x[:m / 2].count('0'))
l1, l0 = (x[m / 2:].count('1'), x[m / 2:].count('0'))
... | the_stack_v2_python_sparse | python/leetcode.696.py | CalvinNeo/LeetCode | train | 3 | |
3392d4235b89de9132695882634e46305ac64ab3 | [
"if not message:\n return (None, None)\nwords = string.split(message)\nlogin = False\nemail = ''\npassword = ''\nreply = ''\nif 'LOGIN' in [word.upper() for word in words]:\n login = True\nif len(words) == 2 and login:\n password = words[1]\nelif len(words) == 3 and login:\n email = words[1]\n passwo... | <|body_start_0|>
if not message:
return (None, None)
words = string.split(message)
login = False
email = ''
password = ''
reply = ''
if 'LOGIN' in [word.upper() for word in words]:
login = True
if len(words) == 2 and login:
... | Parser Authorising Framework. | AuthParse | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthParse:
"""Parser Authorising Framework."""
def parse_login(message='', sender=''):
"""Function to call to authenticate a login request"""
<|body_0|>
def is_session_alive(sender=''):
"""Function to check alive sessions from the same sender (if any)"""
... | stack_v2_sparse_classes_75kplus_train_002333 | 5,635 | permissive | [
{
"docstring": "Function to call to authenticate a login request",
"name": "parse_login",
"signature": "def parse_login(message='', sender='')"
},
{
"docstring": "Function to check alive sessions from the same sender (if any)",
"name": "is_session_alive",
"signature": "def is_session_ali... | 2 | null | Implement the Python class `AuthParse` described below.
Class description:
Parser Authorising Framework.
Method signatures and docstrings:
- def parse_login(message='', sender=''): Function to call to authenticate a login request
- def is_session_alive(sender=''): Function to check alive sessions from the same sender... | Implement the Python class `AuthParse` described below.
Class description:
Parser Authorising Framework.
Method signatures and docstrings:
- def parse_login(message='', sender=''): Function to call to authenticate a login request
- def is_session_alive(sender=''): Function to check alive sessions from the same sender... | 716d5e11ec0030493b582fa67d6f1c35de0af50d | <|skeleton|>
class AuthParse:
"""Parser Authorising Framework."""
def parse_login(message='', sender=''):
"""Function to call to authenticate a login request"""
<|body_0|>
def is_session_alive(sender=''):
"""Function to check alive sessions from the same sender (if any)"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthParse:
"""Parser Authorising Framework."""
def parse_login(message='', sender=''):
"""Function to call to authenticate a login request"""
if not message:
return (None, None)
words = string.split(message)
login = False
email = ''
password = '... | the_stack_v2_python_sparse | modules/s3/s3parser.py | andygimma/eden | train | 1 |
7ee6d4e52f129fa35d6ec7f568a63af4754ad2aa | [
"positive = (dividend < 0) is (divisor < 0)\ndividend, divisor = (abs(dividend), abs(divisor))\nres = 0\nc, sub = (1, divisor)\nwhile dividend >= divisor:\n '\\n for example, if we want to calc (17/2)\\n ret = 0\\n 17-2 ,ret+=1 left=15\\n 15-4 ,ret+=2 left=11\\n ... | <|body_start_0|>
positive = (dividend < 0) is (divisor < 0)
dividend, divisor = (abs(dividend), abs(divisor))
res = 0
c, sub = (1, divisor)
while dividend >= divisor:
'\n for example, if we want to calc (17/2)\n ret = 0\n 17-2 ,ret+=1 ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def divide(self, dividend, divisor):
""":param dividend: :param divisor: :return:"""
<|body_0|>
def divide2(self, dividend, divisor):
"""效率低 :type dividend: int :type divisor: int :rtype: int"""
<|body_1|>
def divide3(self, dividend, divisor):
... | stack_v2_sparse_classes_75kplus_train_002334 | 4,179 | no_license | [
{
"docstring": ":param dividend: :param divisor: :return:",
"name": "divide",
"signature": "def divide(self, dividend, divisor)"
},
{
"docstring": "效率低 :type dividend: int :type divisor: int :rtype: int",
"name": "divide2",
"signature": "def divide2(self, dividend, divisor)"
},
{
... | 3 | stack_v2_sparse_classes_30k_val_000545 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def divide(self, dividend, divisor): :param dividend: :param divisor: :return:
- def divide2(self, dividend, divisor): 效率低 :type dividend: int :type divisor: int :rtype: int
- de... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def divide(self, dividend, divisor): :param dividend: :param divisor: :return:
- def divide2(self, dividend, divisor): 效率低 :type dividend: int :type divisor: int :rtype: int
- de... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def divide(self, dividend, divisor):
""":param dividend: :param divisor: :return:"""
<|body_0|>
def divide2(self, dividend, divisor):
"""效率低 :type dividend: int :type divisor: int :rtype: int"""
<|body_1|>
def divide3(self, dividend, divisor):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def divide(self, dividend, divisor):
""":param dividend: :param divisor: :return:"""
positive = (dividend < 0) is (divisor < 0)
dividend, divisor = (abs(dividend), abs(divisor))
res = 0
c, sub = (1, divisor)
while dividend >= divisor:
'\n ... | the_stack_v2_python_sparse | 29_两数相除.py | lovehhf/LeetCode | train | 0 | |
3f2182fed3b446fed3e3b342c1f22ddb93e5d681 | [
"self._dbName = os.environ['MOPS_DBINSTANCE']\nself._instance = mopsInstance = Instance(self._dbName)\nself._conn = self._instance.get_dbh()\nself._cursor = self._conn.cursor()\nsql = 'select f.field_id, f.epoch_mjd, f.ra_deg, f.dec_deg, ' + 'f.survey_mode, f.time_start, f.time_stop, f.filter_id, ' + 'f.limiting_ma... | <|body_start_0|>
self._dbName = os.environ['MOPS_DBINSTANCE']
self._instance = mopsInstance = Instance(self._dbName)
self._conn = self._instance.get_dbh()
self._cursor = self._conn.cursor()
sql = 'select f.field_id, f.epoch_mjd, f.ra_deg, f.dec_deg, ' + 'f.survey_mode, f.time_sta... | FieldTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FieldTest:
def setUp(self):
"""Just create a Field instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it."""
<|body_0|>
def testInsert(self):
"""Test the insertion of a dummy Field instance in the DB."... | stack_v2_sparse_classes_75kplus_train_002335 | 17,613 | no_license | [
{
"docstring": "Just create a Field instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test the insertion of a dummy Field instance in the DB.",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_045493 | Implement the Python class `FieldTest` described below.
Class description:
Implement the FieldTest class.
Method signatures and docstrings:
- def setUp(self): Just create a Field instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it.
- def testInsert(s... | Implement the Python class `FieldTest` described below.
Class description:
Implement the FieldTest class.
Method signatures and docstrings:
- def setUp(self): Just create a Field instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it.
- def testInsert(s... | 06858b7e935243da7a3f55b3e5097d6440e0c1c2 | <|skeleton|>
class FieldTest:
def setUp(self):
"""Just create a Field instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it."""
<|body_0|>
def testInsert(self):
"""Test the insertion of a dummy Field instance in the DB."... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FieldTest:
def setUp(self):
"""Just create a Field instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it."""
self._dbName = os.environ['MOPS_DBINSTANCE']
self._instance = mopsInstance = Instance(self._dbName)
sel... | the_stack_v2_python_sparse | python/MOPS/test.py | ldenneau/mopsng | train | 0 | |
dc8b17d6eddc0cf03a64c017651eba809f1e1bda | [
"json_dict = json.loads(request.body.decode())\nreceiver = json_dict.get('receiver')\nprovince_id = json_dict.get('province_id')\ncity_id = json_dict.get('city_id')\ndistrict_id = json_dict.get('district_id')\nplace = json_dict.get('place')\nmobile = json_dict.get('mobile')\ntel = json_dict.get('tel')\nemail = json... | <|body_start_0|>
json_dict = json.loads(request.body.decode())
receiver = json_dict.get('receiver')
province_id = json_dict.get('province_id')
city_id = json_dict.get('city_id')
district_id = json_dict.get('district_id')
place = json_dict.get('place')
mobile = jso... | 修改和删除地址 | UpdateDestroyAddressView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateDestroyAddressView:
"""修改和删除地址"""
def put(self, request, address_id):
"""修改地址 :param request: :param address_id: :return:"""
<|body_0|>
def delete(self, request, address_id):
"""删除地址 :param request: :param address_id: :return:"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_002336 | 23,231 | permissive | [
{
"docstring": "修改地址 :param request: :param address_id: :return:",
"name": "put",
"signature": "def put(self, request, address_id)"
},
{
"docstring": "删除地址 :param request: :param address_id: :return:",
"name": "delete",
"signature": "def delete(self, request, address_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_040228 | Implement the Python class `UpdateDestroyAddressView` described below.
Class description:
修改和删除地址
Method signatures and docstrings:
- def put(self, request, address_id): 修改地址 :param request: :param address_id: :return:
- def delete(self, request, address_id): 删除地址 :param request: :param address_id: :return: | Implement the Python class `UpdateDestroyAddressView` described below.
Class description:
修改和删除地址
Method signatures and docstrings:
- def put(self, request, address_id): 修改地址 :param request: :param address_id: :return:
- def delete(self, request, address_id): 删除地址 :param request: :param address_id: :return:
<|skelet... | fecdf074ddb6844f33d6fadf05d40b0e562b46fb | <|skeleton|>
class UpdateDestroyAddressView:
"""修改和删除地址"""
def put(self, request, address_id):
"""修改地址 :param request: :param address_id: :return:"""
<|body_0|>
def delete(self, request, address_id):
"""删除地址 :param request: :param address_id: :return:"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateDestroyAddressView:
"""修改和删除地址"""
def put(self, request, address_id):
"""修改地址 :param request: :param address_id: :return:"""
json_dict = json.loads(request.body.decode())
receiver = json_dict.get('receiver')
province_id = json_dict.get('province_id')
city_id ... | the_stack_v2_python_sparse | meiduo_mall/meiduo_mall/apps/users/views.py | qls7/dianshang | train | 0 |
2aac94f99ef8c358b455b54d7fecea0063bc9394 | [
"self._ps, self._vs = riemann_solve(left, right, g)\nself._left_prof = HydroProf(self._ps, left.Density, left.Pressure, g)\nself._right_prof = HydroProf(self._ps, right.Density, right.Pressure, g)\nself._left = left\nself._right = right\nreturn",
"if v > self._vs:\n res = self._right_prof.CalcPrim(v - self._ri... | <|body_start_0|>
self._ps, self._vs = riemann_solve(left, right, g)
self._left_prof = HydroProf(self._ps, left.Density, left.Pressure, g)
self._right_prof = HydroProf(self._ps, right.Density, right.Pressure, g)
self._left = left
self._right = right
return
<|end_body_0|>
... | Complete Riemann problem profile | RiemannProfile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RiemannProfile:
"""Complete Riemann problem profile"""
def __init__(self, left, right, g):
"""Class constructor Input: left - Primitive variables on the left side right - Primitive variables on the right side g - Adiabatic index"""
<|body_0|>
def CalcPrim(self, v):
... | stack_v2_sparse_classes_75kplus_train_002337 | 11,309 | no_license | [
{
"docstring": "Class constructor Input: left - Primitive variables on the left side right - Primitive variables on the right side g - Adiabatic index",
"name": "__init__",
"signature": "def __init__(self, left, right, g)"
},
{
"docstring": "Calculates the primitive variables Input: v - Self sim... | 2 | stack_v2_sparse_classes_30k_train_008477 | Implement the Python class `RiemannProfile` described below.
Class description:
Complete Riemann problem profile
Method signatures and docstrings:
- def __init__(self, left, right, g): Class constructor Input: left - Primitive variables on the left side right - Primitive variables on the right side g - Adiabatic inde... | Implement the Python class `RiemannProfile` described below.
Class description:
Complete Riemann problem profile
Method signatures and docstrings:
- def __init__(self, left, right, g): Class constructor Input: left - Primitive variables on the left side right - Primitive variables on the right side g - Adiabatic inde... | 58ec1a7e71b00ddb387160b39196d8dd9e40bd3f | <|skeleton|>
class RiemannProfile:
"""Complete Riemann problem profile"""
def __init__(self, left, right, g):
"""Class constructor Input: left - Primitive variables on the left side right - Primitive variables on the right side g - Adiabatic index"""
<|body_0|>
def CalcPrim(self, v):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RiemannProfile:
"""Complete Riemann problem profile"""
def __init__(self, left, right, g):
"""Class constructor Input: left - Primitive variables on the left side right - Primitive variables on the right side g - Adiabatic index"""
self._ps, self._vs = riemann_solve(left, right, g)
... | the_stack_v2_python_sparse | analytic/enrs.py | bolverk/huji-rich | train | 16 |
1d096fc1947750f202922a38cfafd9a0f2499b02 | [
"def ser_helper(root):\n if not root:\n return ['#']\n ll = [str(root.val)]\n ll += ser_helper(root.left)\n ll += ser_helper(root.right)\n return ll\nreturn ','.join(ser_helper(root))",
"def des_helper(ll, i):\n if i >= len(ll):\n raise Exception('Parsing error')\n elif ll[i] ==... | <|body_start_0|>
def ser_helper(root):
if not root:
return ['#']
ll = [str(root.val)]
ll += ser_helper(root.left)
ll += ser_helper(root.right)
return ll
return ','.join(ser_helper(root))
<|end_body_0|>
<|body_start_1|>
... | 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_002338 | 1,459 | 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_009416 | 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:... | 2722c0deafcd094ce64140a9a837b4027d29ed6f | <|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 ser_helper(root):
if not root:
return ['#']
ll = [str(root.val)]
ll += ser_helper(root.left)
ll += ser_helper(root.rig... | the_stack_v2_python_sparse | 297_serdes_bst_h/main.py | chao-shi/lclc | train | 0 | |
a2b77b9334175e596d10fe8f857b9a014b21bfb6 | [
"build = self.context['build']\nif stock_item and stock_item.build != build:\n raise ValidationError(_('Build output must point to the same build'))\nreturn stock_item",
"build = self.context['build']\ndata = self.validated_data\nbuild.deallocate_stock(build_line=data['build_line'], output=data['output'])"
] | <|body_start_0|>
build = self.context['build']
if stock_item and stock_item.build != build:
raise ValidationError(_('Build output must point to the same build'))
return stock_item
<|end_body_0|>
<|body_start_1|>
build = self.context['build']
data = self.validated_dat... | DRF serializer for unallocating stock from a BuildOrder. Allocated stock can be unallocated with a number of filters: - output: Filter against a particular build output (blank = untracked stock) - bom_item: Filter against a particular BOM line item | BuildUnallocationSerializer | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildUnallocationSerializer:
"""DRF serializer for unallocating stock from a BuildOrder. Allocated stock can be unallocated with a number of filters: - output: Filter against a particular build output (blank = untracked stock) - bom_item: Filter against a particular BOM line item"""
def vali... | stack_v2_sparse_classes_75kplus_train_002339 | 38,426 | permissive | [
{
"docstring": "Validation for the output StockItem instance. Stock item must point to the same build order!",
"name": "validate_output",
"signature": "def validate_output(self, stock_item)"
},
{
"docstring": "Save the serializer data. This performs the actual unallocation against the build orde... | 2 | null | Implement the Python class `BuildUnallocationSerializer` described below.
Class description:
DRF serializer for unallocating stock from a BuildOrder. Allocated stock can be unallocated with a number of filters: - output: Filter against a particular build output (blank = untracked stock) - bom_item: Filter against a pa... | Implement the Python class `BuildUnallocationSerializer` described below.
Class description:
DRF serializer for unallocating stock from a BuildOrder. Allocated stock can be unallocated with a number of filters: - output: Filter against a particular build output (blank = untracked stock) - bom_item: Filter against a pa... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class BuildUnallocationSerializer:
"""DRF serializer for unallocating stock from a BuildOrder. Allocated stock can be unallocated with a number of filters: - output: Filter against a particular build output (blank = untracked stock) - bom_item: Filter against a particular BOM line item"""
def vali... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BuildUnallocationSerializer:
"""DRF serializer for unallocating stock from a BuildOrder. Allocated stock can be unallocated with a number of filters: - output: Filter against a particular build output (blank = untracked stock) - bom_item: Filter against a particular BOM line item"""
def validate_output(s... | the_stack_v2_python_sparse | InvenTree/build/serializers.py | inventree/InvenTree | train | 3,077 |
50aa354241c37a4f3e6e9094526820aa722c8a60 | [
"self._pi = pi\nself.gpioA = gpioA\nself.gpioB = gpioB\nself.callback = callback\nself.levA = 0\nself.levB = 0\nself.lastGpio = None\nself._pi.set_mode(gpioA, pigpio.INPUT)\nself._pi.set_mode(gpioB, pigpio.INPUT)\nself._pi.set_pull_up_down(gpioA, pigpio.PUD_UP)\nself._pi.set_pull_up_down(gpioB, pigpio.PUD_UP)\nself... | <|body_start_0|>
self._pi = pi
self.gpioA = gpioA
self.gpioB = gpioB
self.callback = callback
self.levA = 0
self.levB = 0
self.lastGpio = None
self._pi.set_mode(gpioA, pigpio.INPUT)
self._pi.set_mode(gpioB, pigpio.INPUT)
self._pi.set_pull_u... | Class to decode mechanical rotary encoder pulses. | Decoder | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""Class to decode mechanical rotary encoder pulses."""
def __init__(self, pi, gpioA, gpioB, callback):
"""Instantiate the class with the pi and gpios connected to rotary encoder contacts A and B. The common contact should be connected to ground. The callback is called when ... | stack_v2_sparse_classes_75kplus_train_002340 | 4,215 | permissive | [
{
"docstring": "Instantiate the class with the pi and gpios connected to rotary encoder contacts A and B. The common contact should be connected to ground. The callback is called when the rotary encoder is turned. It takes one parameter which is +1 for clockwise and -1 for counterclockwise. EXAMPLE import time ... | 3 | stack_v2_sparse_classes_30k_train_014337 | Implement the Python class `Decoder` described below.
Class description:
Class to decode mechanical rotary encoder pulses.
Method signatures and docstrings:
- def __init__(self, pi, gpioA, gpioB, callback): Instantiate the class with the pi and gpios connected to rotary encoder contacts A and B. The common contact sh... | Implement the Python class `Decoder` described below.
Class description:
Class to decode mechanical rotary encoder pulses.
Method signatures and docstrings:
- def __init__(self, pi, gpioA, gpioB, callback): Instantiate the class with the pi and gpios connected to rotary encoder contacts A and B. The common contact sh... | 5dc6e23a280e1283de7b38f35116332a79ca33d2 | <|skeleton|>
class Decoder:
"""Class to decode mechanical rotary encoder pulses."""
def __init__(self, pi, gpioA, gpioB, callback):
"""Instantiate the class with the pi and gpios connected to rotary encoder contacts A and B. The common contact should be connected to ground. The callback is called when ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
"""Class to decode mechanical rotary encoder pulses."""
def __init__(self, pi, gpioA, gpioB, callback):
"""Instantiate the class with the pi and gpios connected to rotary encoder contacts A and B. The common contact should be connected to ground. The callback is called when the rotary en... | the_stack_v2_python_sparse | lib/rotary_encoder.py | bopopescu/ros | train | 0 |
5de6bd2a4c10705121b1334a795e857450d708bb | [
"self.type = self.__class__.__name__\nself.name = name\nself.hardwareComm = hardwareComm\nself.modelLock = modelLock",
"self.modelLock.Acquire()\npReturn1 = pGetFunction(False)\nself.modelLock.Release()\nreturn pReturn1",
"self.modelLock.Acquire()\npReturn1, pReturn2 = pGetFunction(False)\nself.modelLock.Releas... | <|body_start_0|>
self.type = self.__class__.__name__
self.name = name
self.hardwareComm = hardwareComm
self.modelLock = modelLock
<|end_body_0|>
<|body_start_1|>
self.modelLock.Acquire()
pReturn1 = pGetFunction(False)
self.modelLock.Release()
return pRetu... | ComponentModel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComponentModel:
def __init__(self, name, hardwareComm, modelLock):
"""ComponentModel base class constructor"""
<|body_0|>
def protectedReturn1(self, pGetFunction):
"""Returns the value of the variable as protected by the model lock"""
<|body_1|>
def prot... | stack_v2_sparse_classes_75kplus_train_002341 | 1,492 | no_license | [
{
"docstring": "ComponentModel base class constructor",
"name": "__init__",
"signature": "def __init__(self, name, hardwareComm, modelLock)"
},
{
"docstring": "Returns the value of the variable as protected by the model lock",
"name": "protectedReturn1",
"signature": "def protectedReturn... | 5 | stack_v2_sparse_classes_30k_train_023386 | Implement the Python class `ComponentModel` described below.
Class description:
Implement the ComponentModel class.
Method signatures and docstrings:
- def __init__(self, name, hardwareComm, modelLock): ComponentModel base class constructor
- def protectedReturn1(self, pGetFunction): Returns the value of the variable... | Implement the Python class `ComponentModel` described below.
Class description:
Implement the ComponentModel class.
Method signatures and docstrings:
- def __init__(self, name, hardwareComm, modelLock): ComponentModel base class constructor
- def protectedReturn1(self, pGetFunction): Returns the value of the variable... | c6954ca0fff935ce1eb8154744f6307743765dc5 | <|skeleton|>
class ComponentModel:
def __init__(self, name, hardwareComm, modelLock):
"""ComponentModel base class constructor"""
<|body_0|>
def protectedReturn1(self, pGetFunction):
"""Returns the value of the variable as protected by the model lock"""
<|body_1|>
def prot... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ComponentModel:
def __init__(self, name, hardwareComm, modelLock):
"""ComponentModel base class constructor"""
self.type = self.__class__.__name__
self.name = name
self.hardwareComm = hardwareComm
self.modelLock = modelLock
def protectedReturn1(self, pGetFunction):... | the_stack_v2_python_sparse | server/core/ComponentModel.py | henryeherman/elixys | train | 1 | |
600bba583a2e5abeddbbe7e794de01e6180ec40d | [
"self._table = [[] for x in range(size)]\nif not func:\n func = naive\nself._hash = func",
"hash_val = self._hash(key) % len(self._table)\nfor item in self._table[hash_val]:\n if item[0] == key:\n return item[1]",
"hash_val = self._hash(key) % len(self._table)\nfor item in self._table[hash_val]:\n ... | <|body_start_0|>
self._table = [[] for x in range(size)]
if not func:
func = naive
self._hash = func
<|end_body_0|>
<|body_start_1|>
hash_val = self._hash(key) % len(self._table)
for item in self._table[hash_val]:
if item[0] == key:
return... | Hash class for data structure. | HashTable | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HashTable:
"""Hash class for data structure."""
def __init__(self, size=17, func=None):
"""Initialize the hash."""
<|body_0|>
def get(self, key):
"""Return the value stored at hash of given key."""
<|body_1|>
def set(self, key, val):
"""Store... | stack_v2_sparse_classes_75kplus_train_002342 | 1,185 | permissive | [
{
"docstring": "Initialize the hash.",
"name": "__init__",
"signature": "def __init__(self, size=17, func=None)"
},
{
"docstring": "Return the value stored at hash of given key.",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": "Store value based on given key."... | 3 | stack_v2_sparse_classes_30k_train_010035 | Implement the Python class `HashTable` described below.
Class description:
Hash class for data structure.
Method signatures and docstrings:
- def __init__(self, size=17, func=None): Initialize the hash.
- def get(self, key): Return the value stored at hash of given key.
- def set(self, key, val): Store value based on... | Implement the Python class `HashTable` described below.
Class description:
Hash class for data structure.
Method signatures and docstrings:
- def __init__(self, size=17, func=None): Initialize the hash.
- def get(self, key): Return the value stored at hash of given key.
- def set(self, key, val): Store value based on... | b9b07656a2ca6fa8cda7d44be9112bb7c2782fb0 | <|skeleton|>
class HashTable:
"""Hash class for data structure."""
def __init__(self, size=17, func=None):
"""Initialize the hash."""
<|body_0|>
def get(self, key):
"""Return the value stored at hash of given key."""
<|body_1|>
def set(self, key, val):
"""Store... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HashTable:
"""Hash class for data structure."""
def __init__(self, size=17, func=None):
"""Initialize the hash."""
self._table = [[] for x in range(size)]
if not func:
func = naive
self._hash = func
def get(self, key):
"""Return the value stored at... | the_stack_v2_python_sparse | src/hash_table.py | Casey0Kane/data-structures | train | 1 |
b6925741ffa695a891c2c1d7db9109d4a177179f | [
"i = j = max_num = 0\nused = set()\nwhile i < len(s) and j < len(s):\n if s[j] in used:\n used.remove(s[i])\n i += 1\n else:\n used.add(s[j])\n j += 1\n max_num = max(max_num, j - i)\nreturn max_num",
"used = dict()\nmax_num = start = 0\nfor i, c in enumerate(s):\n if c... | <|body_start_0|>
i = j = max_num = 0
used = set()
while i < len(s) and j < len(s):
if s[j] in used:
used.remove(s[i])
i += 1
else:
used.add(s[j])
j += 1
max_num = max(max_num, j - i)
r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring1(self, s: str) -> int:
"""滑动窗口，i,j不停滑动。 当j遇到的字符没有出现过，则记录当前字符，j继续向前移动。 当碰到出现过的字符时，从记录的set中移除s[i]，i向前移动。"""
<|body_0|>
def lengthOfLongestSubstring(self, s: str) -> int:
"""滑动窗口优化：使用字典记录出现过的字符及其索引。 1. 如果字符出现过，则start从出现过的索引+1开始重新计算... | stack_v2_sparse_classes_75kplus_train_002343 | 2,108 | no_license | [
{
"docstring": "滑动窗口，i,j不停滑动。 当j遇到的字符没有出现过，则记录当前字符，j继续向前移动。 当碰到出现过的字符时，从记录的set中移除s[i]，i向前移动。",
"name": "lengthOfLongestSubstring1",
"signature": "def lengthOfLongestSubstring1(self, s: str) -> int"
},
{
"docstring": "滑动窗口优化：使用字典记录出现过的字符及其索引。 1. 如果字符出现过，则start从出现过的索引+1开始重新计算。 需要增加判断start是否比出现的索引要... | 2 | stack_v2_sparse_classes_30k_train_023501 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring1(self, s: str) -> int: 滑动窗口，i,j不停滑动。 当j遇到的字符没有出现过，则记录当前字符，j继续向前移动。 当碰到出现过的字符时，从记录的set中移除s[i]，i向前移动。
- def lengthOfLongestSubstring(self, s: str) -> i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring1(self, s: str) -> int: 滑动窗口，i,j不停滑动。 当j遇到的字符没有出现过，则记录当前字符，j继续向前移动。 当碰到出现过的字符时，从记录的set中移除s[i]，i向前移动。
- def lengthOfLongestSubstring(self, s: str) -> i... | 2bbb1640589aab34f2bc42489283033cc11fb885 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring1(self, s: str) -> int:
"""滑动窗口，i,j不停滑动。 当j遇到的字符没有出现过，则记录当前字符，j继续向前移动。 当碰到出现过的字符时，从记录的set中移除s[i]，i向前移动。"""
<|body_0|>
def lengthOfLongestSubstring(self, s: str) -> int:
"""滑动窗口优化：使用字典记录出现过的字符及其索引。 1. 如果字符出现过，则start从出现过的索引+1开始重新计算... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lengthOfLongestSubstring1(self, s: str) -> int:
"""滑动窗口，i,j不停滑动。 当j遇到的字符没有出现过，则记录当前字符，j继续向前移动。 当碰到出现过的字符时，从记录的set中移除s[i]，i向前移动。"""
i = j = max_num = 0
used = set()
while i < len(s) and j < len(s):
if s[j] in used:
used.remove(s[i])
... | the_stack_v2_python_sparse | 003_longest-substring-without-repeating-characters.py | helloocc/algorithm | train | 1 | |
9cd1c6de0850e310866db7e527f55a15e92827db | [
"self.img_to_points = img_to_points\nself.env = env\nself.base_proposal = base_proposal\nself.POS_STD = 0.01\nself.PHI_STD = 0.1\nself.points = {}\nself.DEBUG_STOP_PROPOSING = 50",
"if n in self.points:\n return self.points[n]\nself.points[n] = self.img_to_points(y)\nreturn self.points[n]",
"candidate_points... | <|body_start_0|>
self.img_to_points = img_to_points
self.env = env
self.base_proposal = base_proposal
self.POS_STD = 0.01
self.PHI_STD = 0.1
self.points = {}
self.DEBUG_STOP_PROPOSING = 50
<|end_body_0|>
<|body_start_1|>
if n in self.points:
r... | Multimodal kernel -- takes in N points in latent-state-space and propose! | MultimodalData | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultimodalData:
"""Multimodal kernel -- takes in N points in latent-state-space and propose!"""
def __init__(self, env, img_to_points, base_proposal):
"""img_to_points is a feature-extractor that takes in a image and returns a list of candidate points. Sometimes it might return zero,... | stack_v2_sparse_classes_75kplus_train_002344 | 11,517 | no_license | [
{
"docstring": "img_to_points is a feature-extractor that takes in a image and returns a list of candidate points. Sometimes it might return zero, in which case we go with the base proposal kernel",
"name": "__init__",
"signature": "def __init__(self, env, img_to_points, base_proposal)"
},
{
"do... | 4 | stack_v2_sparse_classes_30k_train_040096 | Implement the Python class `MultimodalData` described below.
Class description:
Multimodal kernel -- takes in N points in latent-state-space and propose!
Method signatures and docstrings:
- def __init__(self, env, img_to_points, base_proposal): img_to_points is a feature-extractor that takes in a image and returns a ... | Implement the Python class `MultimodalData` described below.
Class description:
Multimodal kernel -- takes in N points in latent-state-space and propose!
Method signatures and docstrings:
- def __init__(self, env, img_to_points, base_proposal): img_to_points is a feature-extractor that takes in a image and returns a ... | 1eae11a3251686d41b8dcb11a55e55ab8342ec78 | <|skeleton|>
class MultimodalData:
"""Multimodal kernel -- takes in N points in latent-state-space and propose!"""
def __init__(self, env, img_to_points, base_proposal):
"""img_to_points is a feature-extractor that takes in a image and returns a list of candidate points. Sometimes it might return zero,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultimodalData:
"""Multimodal kernel -- takes in N points in latent-state-space and propose!"""
def __init__(self, env, img_to_points, base_proposal):
"""img_to_points is a feature-extractor that takes in a image and returns a list of candidate points. Sometimes it might return zero, in which cas... | the_stack_v2_python_sparse | proposals.py | fegonda/franktrack | train | 0 |
ad43ee5d8ab6339bba4a77d26f598b85ab5c7ab5 | [
"self._member_authority_resource_manager = pm.getService('omemberauthorityrm')\nself._delegate_tools = pm.getService('delegatetools')\nself._member_whitelist = self._delegate_tools.get_whitelist('MEMBER')\nself._key_whitelist = self._delegate_tools.get_whitelist('KEY')",
"version = self._delegate_tools.get_versio... | <|body_start_0|>
self._member_authority_resource_manager = pm.getService('omemberauthorityrm')
self._delegate_tools = pm.getService('delegatetools')
self._member_whitelist = self._delegate_tools.get_whitelist('MEMBER')
self._key_whitelist = self._delegate_tools.get_whitelist('KEY')
<|end... | Implements Member Authority methods. Does validity checking on passed options. | OMAv2Delegate | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OMAv2Delegate:
"""Implements Member Authority methods. Does validity checking on passed options."""
def __init__(self):
"""Get plugins for use in other class methods. Retrieve whitelists for use in validity checking."""
<|body_0|>
def get_version(self):
"""Get im... | stack_v2_sparse_classes_75kplus_train_002345 | 4,199 | permissive | [
{
"docstring": "Get plugins for use in other class methods. Retrieve whitelists for use in validity checking.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Get implementation details from resource manager. Supplement these with additional details specific to the dele... | 6 | stack_v2_sparse_classes_30k_train_002324 | Implement the Python class `OMAv2Delegate` described below.
Class description:
Implements Member Authority methods. Does validity checking on passed options.
Method signatures and docstrings:
- def __init__(self): Get plugins for use in other class methods. Retrieve whitelists for use in validity checking.
- def get_... | Implement the Python class `OMAv2Delegate` described below.
Class description:
Implements Member Authority methods. Does validity checking on passed options.
Method signatures and docstrings:
- def __init__(self): Get plugins for use in other class methods. Retrieve whitelists for use in validity checking.
- def get_... | 695c6f72490a02bbb308d44526631dbf426ab900 | <|skeleton|>
class OMAv2Delegate:
"""Implements Member Authority methods. Does validity checking on passed options."""
def __init__(self):
"""Get plugins for use in other class methods. Retrieve whitelists for use in validity checking."""
<|body_0|>
def get_version(self):
"""Get im... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OMAv2Delegate:
"""Implements Member Authority methods. Does validity checking on passed options."""
def __init__(self):
"""Get plugins for use in other class methods. Retrieve whitelists for use in validity checking."""
self._member_authority_resource_manager = pm.getService('omemberautho... | the_stack_v2_python_sparse | Ohouse/src/plugins/ofed2/omavtwodelegate.py | zanetworker/C-BAS | train | 1 |
bac400346d1c11b90f3bcb9ed8dc7ed23563d4c5 | [
"fieldsets = super(ModelAdmin, self).get_fieldsets(request, obj=obj)\nif self.autopopulate and (not request.user.is_superuser):\n for fieldset in fieldsets:\n fieldset[1]['fields'] = [f for f in fieldset[1]['fields'] if f not in self.autopopulate]\nreturn fieldsets",
"if self.autopopulate and (not reque... | <|body_start_0|>
fieldsets = super(ModelAdmin, self).get_fieldsets(request, obj=obj)
if self.autopopulate and (not request.user.is_superuser):
for fieldset in fieldsets:
fieldset[1]['fields'] = [f for f in fieldset[1]['fields'] if f not in self.autopopulate]
return fi... | Adds options to ModelAdmin that allow automatic filtering, restricting and field-populating for non-superusers | ModelAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelAdmin:
"""Adds options to ModelAdmin that allow automatic filtering, restricting and field-populating for non-superusers"""
def get_fieldsets(self, request, obj=None):
"""Removes any autofilter fields from generated fieldsets"""
<|body_0|>
def get_form(self, request... | stack_v2_sparse_classes_75kplus_train_002346 | 14,007 | no_license | [
{
"docstring": "Removes any autofilter fields from generated fieldsets",
"name": "get_fieldsets",
"signature": "def get_fieldsets(self, request, obj=None)"
},
{
"docstring": "Configures model form to fill in autopopulate fields (removing those fields from the form) and restricts querysets for mu... | 6 | null | Implement the Python class `ModelAdmin` described below.
Class description:
Adds options to ModelAdmin that allow automatic filtering, restricting and field-populating for non-superusers
Method signatures and docstrings:
- def get_fieldsets(self, request, obj=None): Removes any autofilter fields from generated fields... | Implement the Python class `ModelAdmin` described below.
Class description:
Adds options to ModelAdmin that allow automatic filtering, restricting and field-populating for non-superusers
Method signatures and docstrings:
- def get_fieldsets(self, request, obj=None): Removes any autofilter fields from generated fields... | 9f49ef6e7de9b8c3a0000fdb4b9dbd0b3ddae9a8 | <|skeleton|>
class ModelAdmin:
"""Adds options to ModelAdmin that allow automatic filtering, restricting and field-populating for non-superusers"""
def get_fieldsets(self, request, obj=None):
"""Removes any autofilter fields from generated fieldsets"""
<|body_0|>
def get_form(self, request... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelAdmin:
"""Adds options to ModelAdmin that allow automatic filtering, restricting and field-populating for non-superusers"""
def get_fieldsets(self, request, obj=None):
"""Removes any autofilter fields from generated fieldsets"""
fieldsets = super(ModelAdmin, self).get_fieldsets(reque... | the_stack_v2_python_sparse | admin_extensions/main.py | map0logo/albastryde | train | 0 |
e08e1e9a6b4947132c58e3e7ebe5539e99683b6b | [
"http = r.http\nmethod = r.method\nrepresentation = r.representation\noutput = {}\nif method == 'mdata':\n if representation == 'json':\n if http == 'GET':\n r.error(501, current.ERROR.NOT_IMPLEMENTED)\n elif http == 'POST':\n r.error(501, current.ERROR.NOT_IMPLEMENTED)\n ... | <|body_start_0|>
http = r.http
method = r.method
representation = r.representation
output = {}
if method == 'mdata':
if representation == 'json':
if http == 'GET':
r.error(501, current.ERROR.NOT_IMPLEMENTED)
elif htt... | Mobile Data Handler responds to GET /prefix/name/mdata.json (Data download) POST /prefix/name/mdata.json (Data upload) GET /prefix/name/mform.json (Schema download) GET /prefix/name/xform.xml (XForms analogously, later...) | S3MobileCRUD | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class S3MobileCRUD:
"""Mobile Data Handler responds to GET /prefix/name/mdata.json (Data download) POST /prefix/name/mdata.json (Data upload) GET /prefix/name/mform.json (Schema download) GET /prefix/name/xform.xml (XForms analogously, later...)"""
def apply_method(self, r, **attr):
"""Ent... | stack_v2_sparse_classes_75kplus_train_002347 | 11,178 | permissive | [
{
"docstring": "Entry point for REST interface. @param r: the S3Request instance @param attr: controller attributes",
"name": "apply_method",
"signature": "def apply_method(self, r, **attr)"
},
{
"docstring": "Get the schema definition (as JSON) @param r: the S3Request instance @param attr: cont... | 2 | stack_v2_sparse_classes_30k_train_034110 | Implement the Python class `S3MobileCRUD` described below.
Class description:
Mobile Data Handler responds to GET /prefix/name/mdata.json (Data download) POST /prefix/name/mdata.json (Data upload) GET /prefix/name/mform.json (Schema download) GET /prefix/name/xform.xml (XForms analogously, later...)
Method signatures... | Implement the Python class `S3MobileCRUD` described below.
Class description:
Mobile Data Handler responds to GET /prefix/name/mdata.json (Data download) POST /prefix/name/mdata.json (Data upload) GET /prefix/name/mform.json (Schema download) GET /prefix/name/xform.xml (XForms analogously, later...)
Method signatures... | 3f753a20ce2b7cedd2c55770ed333c069df50cf1 | <|skeleton|>
class S3MobileCRUD:
"""Mobile Data Handler responds to GET /prefix/name/mdata.json (Data download) POST /prefix/name/mdata.json (Data upload) GET /prefix/name/mform.json (Schema download) GET /prefix/name/xform.xml (XForms analogously, later...)"""
def apply_method(self, r, **attr):
"""Ent... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class S3MobileCRUD:
"""Mobile Data Handler responds to GET /prefix/name/mdata.json (Data download) POST /prefix/name/mdata.json (Data upload) GET /prefix/name/mform.json (Schema download) GET /prefix/name/xform.xml (XForms analogously, later...)"""
def apply_method(self, r, **attr):
"""Entry point for ... | the_stack_v2_python_sparse | modules/s3/s3mobile.py | mswdresden/eden | train | 0 |
e3e373dca38def5b549d4340cfe676d11bd436d6 | [
"self.pokemon = pokemon\nself.targets = targets\nself.environment = environment\nself.action = None\nentries = []\nfor attack in self.pokemon.getAttacks():\n entries.append(AttackMenuEntry(attack, self.setAction))\nself.menu = Menu(entries, columns=2)\nscreen.setBottomView(ActionMenuWidget(self.menu, self.getWin... | <|body_start_0|>
self.pokemon = pokemon
self.targets = targets
self.environment = environment
self.action = None
entries = []
for attack in self.pokemon.getAttacks():
entries.append(AttackMenuEntry(attack, self.setAction))
self.menu = Menu(entries, col... | Controller for Attack Menu | AttackMenuController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttackMenuController:
"""Controller for Attack Menu"""
def __init__(self, pokemon, targets, environment, screen):
"""Initialize the Attack Menu"""
<|body_0|>
def setAction(self, entry):
"""Set the Chosen Action"""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_002348 | 2,031 | no_license | [
{
"docstring": "Initialize the Attack Menu",
"name": "__init__",
"signature": "def __init__(self, pokemon, targets, environment, screen)"
},
{
"docstring": "Set the Chosen Action",
"name": "setAction",
"signature": "def setAction(self, entry)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034811 | Implement the Python class `AttackMenuController` described below.
Class description:
Controller for Attack Menu
Method signatures and docstrings:
- def __init__(self, pokemon, targets, environment, screen): Initialize the Attack Menu
- def setAction(self, entry): Set the Chosen Action | Implement the Python class `AttackMenuController` described below.
Class description:
Controller for Attack Menu
Method signatures and docstrings:
- def __init__(self, pokemon, targets, environment, screen): Initialize the Attack Menu
- def setAction(self, entry): Set the Chosen Action
<|skeleton|>
class AttackMenuC... | 3931eee5fd04e18bb1738a0b27a4c6979dc4db01 | <|skeleton|>
class AttackMenuController:
"""Controller for Attack Menu"""
def __init__(self, pokemon, targets, environment, screen):
"""Initialize the Attack Menu"""
<|body_0|>
def setAction(self, entry):
"""Set the Chosen Action"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AttackMenuController:
"""Controller for Attack Menu"""
def __init__(self, pokemon, targets, environment, screen):
"""Initialize the Attack Menu"""
self.pokemon = pokemon
self.targets = targets
self.environment = environment
self.action = None
entries = []
... | the_stack_v2_python_sparse | src/Screen/Pygame/Menu/ActionMenu/AttackMenu/attack_menu_controller.py | sgtnourry/Pokemon-Project | train | 0 |
ca92d368ab50f16b736a3b6ad0ebb54ab61b9efe | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn ServiceAnnouncementAttachment()",
"from .entity import Entity\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any], None]] = {'content': lambda n: setattr(self, 'content', n.get_bytes_value()), 'contentType': lambda n: setattr... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return ServiceAnnouncementAttachment()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .entity import Entity
fields: Dict[str, Callable[[Any], None]] = {'content': lambd... | ServiceAnnouncementAttachment | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceAnnouncementAttachment:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceAnnouncementAttachment:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator val... | stack_v2_sparse_classes_75kplus_train_002349 | 2,908 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: ServiceAnnouncementAttachment",
"name": "create_from_discriminator_value",
"signature": "def create_from_dis... | 3 | stack_v2_sparse_classes_30k_train_025783 | Implement the Python class `ServiceAnnouncementAttachment` described below.
Class description:
Implement the ServiceAnnouncementAttachment class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceAnnouncementAttachment: Creates a new instance of th... | Implement the Python class `ServiceAnnouncementAttachment` described below.
Class description:
Implement the ServiceAnnouncementAttachment class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceAnnouncementAttachment: Creates a new instance of th... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class ServiceAnnouncementAttachment:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceAnnouncementAttachment:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator val... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ServiceAnnouncementAttachment:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ServiceAnnouncementAttachment:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create ... | the_stack_v2_python_sparse | msgraph/generated/models/service_announcement_attachment.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
d0239edfececd9fb7ec784c388cab3f90f0868ca | [
"min_level = 3\nmax_level = 7\ninput_specs = {}\nfor level in range(min_level, max_level):\n input_specs[str(level)] = tf.TensorShape([1, 128 // 2 ** level, 128 // 2 ** level, 3])\nnetwork = decoders.FPN(input_specs=input_specs, num_filters=num_filters, use_separable_conv=use_separable_conv, use_sync_bn=True)\nm... | <|body_start_0|>
min_level = 3
max_level = 7
input_specs = {}
for level in range(min_level, max_level):
input_specs[str(level)] = tf.TensorShape([1, 128 // 2 ** level, 128 // 2 ** level, 3])
network = decoders.FPN(input_specs=input_specs, num_filters=num_filters, use_... | FactoryTest | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FactoryTest:
def test_fpn_decoder_creation(self, num_filters, use_separable_conv):
"""Test creation of FPN decoder."""
<|body_0|>
def test_nasfpn_decoder_creation(self, num_filters, num_repeats, use_separable_conv):
"""Test creation of NASFPN decoder."""
<|bo... | stack_v2_sparse_classes_75kplus_train_002350 | 5,621 | permissive | [
{
"docstring": "Test creation of FPN decoder.",
"name": "test_fpn_decoder_creation",
"signature": "def test_fpn_decoder_creation(self, num_filters, use_separable_conv)"
},
{
"docstring": "Test creation of NASFPN decoder.",
"name": "test_nasfpn_decoder_creation",
"signature": "def test_na... | 4 | null | Implement the Python class `FactoryTest` described below.
Class description:
Implement the FactoryTest class.
Method signatures and docstrings:
- def test_fpn_decoder_creation(self, num_filters, use_separable_conv): Test creation of FPN decoder.
- def test_nasfpn_decoder_creation(self, num_filters, num_repeats, use_s... | Implement the Python class `FactoryTest` described below.
Class description:
Implement the FactoryTest class.
Method signatures and docstrings:
- def test_fpn_decoder_creation(self, num_filters, use_separable_conv): Test creation of FPN decoder.
- def test_nasfpn_decoder_creation(self, num_filters, num_repeats, use_s... | d3507b550a3ade40cade60a79eb5b8978b56c7ae | <|skeleton|>
class FactoryTest:
def test_fpn_decoder_creation(self, num_filters, use_separable_conv):
"""Test creation of FPN decoder."""
<|body_0|>
def test_nasfpn_decoder_creation(self, num_filters, num_repeats, use_separable_conv):
"""Test creation of NASFPN decoder."""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FactoryTest:
def test_fpn_decoder_creation(self, num_filters, use_separable_conv):
"""Test creation of FPN decoder."""
min_level = 3
max_level = 7
input_specs = {}
for level in range(min_level, max_level):
input_specs[str(level)] = tf.TensorShape([1, 128 // ... | the_stack_v2_python_sparse | official/vision/modeling/decoders/factory_test.py | jianzhnie/models | train | 2 | |
0c654b50811f0c70510ee3449bbeaafe90ed57fc | [
"with open(tst_file, 'w') as writer:\n for test_case in project.test_space.get_test_cases():\n test_case: jcmuta.TestCase\n writer.write('{}\\n'.format(test_case.get_test_id()))\nreturn",
"space = project.muta_space\nwith open(mut_file, 'w') as writer:\n for mutant in space.get_mutants():\n ... | <|body_start_0|>
with open(tst_file, 'w') as writer:
for test_case in project.test_space.get_test_cases():
test_case: jcmuta.TestCase
writer.write('{}\n'.format(test_case.get_test_id()))
return
<|end_body_0|>
<|body_start_1|>
space = project.muta_spac... | It implements the encoding of MerDocument data from CProject | MerDocumentEncoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MerDocumentEncoder:
"""It implements the encoding of MerDocument data from CProject"""
def __encode_tst_file__(project: jcmuta.CProject, tst_file: str):
""":param project: :param tst_file: :return:"""
<|body_0|>
def __encode_mut_file__(project: jcmuta.CProject, mut_file:... | stack_v2_sparse_classes_75kplus_train_002351 | 16,948 | no_license | [
{
"docstring": ":param project: :param tst_file: :return:",
"name": "__encode_tst_file__",
"signature": "def __encode_tst_file__(project: jcmuta.CProject, tst_file: str)"
},
{
"docstring": ":param project: :param mut_file: {mid cid wid sid res }+ :return:",
"name": "__encode_mut_file__",
... | 5 | stack_v2_sparse_classes_30k_train_031889 | Implement the Python class `MerDocumentEncoder` described below.
Class description:
It implements the encoding of MerDocument data from CProject
Method signatures and docstrings:
- def __encode_tst_file__(project: jcmuta.CProject, tst_file: str): :param project: :param tst_file: :return:
- def __encode_mut_file__(pro... | Implement the Python class `MerDocumentEncoder` described below.
Class description:
It implements the encoding of MerDocument data from CProject
Method signatures and docstrings:
- def __encode_tst_file__(project: jcmuta.CProject, tst_file: str): :param project: :param tst_file: :return:
- def __encode_mut_file__(pro... | e5d877f98e36d5fc24175f14f53c7fc969844a65 | <|skeleton|>
class MerDocumentEncoder:
"""It implements the encoding of MerDocument data from CProject"""
def __encode_tst_file__(project: jcmuta.CProject, tst_file: str):
""":param project: :param tst_file: :return:"""
<|body_0|>
def __encode_mut_file__(project: jcmuta.CProject, mut_file:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MerDocumentEncoder:
"""It implements the encoding of MerDocument data from CProject"""
def __encode_tst_file__(project: jcmuta.CProject, tst_file: str):
""":param project: :param tst_file: :return:"""
with open(tst_file, 'w') as writer:
for test_case in project.test_space.get_... | the_stack_v2_python_sparse | PyMuta/com/jcsa/pymuta2/encode.py | dzt2/jcsa | train | 0 |
be142f7992b7d27046142538c8f7a70a6e073f6a | [
"if theJSON.has('matchHostPK') or theJSON.has('matchHostSignature'):\n raise RuntimeException('Already signed JSON! Cannot sign again.')\ntheJSON.put('matchHostPK', thePK)\ntheSignature = BaseCryptography.signData(theSK, CanonicalJSON.getCanonicalForm(theJSON, CanonicalizationStrategy.SIMPLE))\ntheJSON.put('matc... | <|body_start_0|>
if theJSON.has('matchHostPK') or theJSON.has('matchHostSignature'):
raise RuntimeException('Already signed JSON! Cannot sign again.')
theJSON.put('matchHostPK', thePK)
theSignature = BaseCryptography.signData(theSK, CanonicalJSON.getCanonicalForm(theJSON, Canonicaliz... | generated source for class SignableJSON | SignableJSON | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignableJSON:
"""generated source for class SignableJSON"""
def signJSON(cls, theJSON, thePK, theSK):
"""generated source for method signJSON"""
<|body_0|>
def isSignedJSON(cls, theJSON):
"""generated source for method isSignedJSON"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus_train_002352 | 2,578 | permissive | [
{
"docstring": "generated source for method signJSON",
"name": "signJSON",
"signature": "def signJSON(cls, theJSON, thePK, theSK)"
},
{
"docstring": "generated source for method isSignedJSON",
"name": "isSignedJSON",
"signature": "def isSignedJSON(cls, theJSON)"
},
{
"docstring":... | 3 | stack_v2_sparse_classes_30k_train_020385 | Implement the Python class `SignableJSON` described below.
Class description:
generated source for class SignableJSON
Method signatures and docstrings:
- def signJSON(cls, theJSON, thePK, theSK): generated source for method signJSON
- def isSignedJSON(cls, theJSON): generated source for method isSignedJSON
- def veri... | Implement the Python class `SignableJSON` described below.
Class description:
generated source for class SignableJSON
Method signatures and docstrings:
- def signJSON(cls, theJSON, thePK, theSK): generated source for method signJSON
- def isSignedJSON(cls, theJSON): generated source for method isSignedJSON
- def veri... | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | <|skeleton|>
class SignableJSON:
"""generated source for class SignableJSON"""
def signJSON(cls, theJSON, thePK, theSK):
"""generated source for method signJSON"""
<|body_0|>
def isSignedJSON(cls, theJSON):
"""generated source for method isSignedJSON"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignableJSON:
"""generated source for class SignableJSON"""
def signJSON(cls, theJSON, thePK, theSK):
"""generated source for method signJSON"""
if theJSON.has('matchHostPK') or theJSON.has('matchHostSignature'):
raise RuntimeException('Already signed JSON! Cannot sign again.'... | the_stack_v2_python_sparse | ggpy/cruft/autocode/SignableJSON.py | hobson/ggpy | train | 1 |
c7fec254c6fa3a109f6b2b603bca9e8848ce56b5 | [
"super().__init__()\nself._img_shape = img_shape\nself.model = torch.nn.Sequential(torch.nn.Linear(latent_dim, 512), torch.nn.LeakyReLU(0.2, inplace=True), torch.nn.Linear(512, 512), torch.nn.BatchNorm1d(512), torch.nn.LeakyReLU(0.2, inplace=True), torch.nn.Linear(512, int(reduce(mul, img_shape, 1))), torch.nn.Tanh... | <|body_start_0|>
super().__init__()
self._img_shape = img_shape
self.model = torch.nn.Sequential(torch.nn.Linear(latent_dim, 512), torch.nn.LeakyReLU(0.2, inplace=True), torch.nn.Linear(512, 512), torch.nn.BatchNorm1d(512), torch.nn.LeakyReLU(0.2, inplace=True), torch.nn.Linear(512, int(reduce(m... | Decodes an already encoded image signal | Decoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""Decodes an already encoded image signal"""
def __init__(self, latent_dim, img_shape):
"""Parameters ---------- latent_dim : int the size of the latent dimension img_shape : tuple the shape of the input image"""
<|body_0|>
def forward(self, z):
"""Feed... | stack_v2_sparse_classes_75kplus_train_002353 | 5,204 | permissive | [
{
"docstring": "Parameters ---------- latent_dim : int the size of the latent dimension img_shape : tuple the shape of the input image",
"name": "__init__",
"signature": "def __init__(self, latent_dim, img_shape)"
},
{
"docstring": "Feeds an encoded signal through the network for decoding Parame... | 2 | stack_v2_sparse_classes_30k_train_034593 | Implement the Python class `Decoder` described below.
Class description:
Decodes an already encoded image signal
Method signatures and docstrings:
- def __init__(self, latent_dim, img_shape): Parameters ---------- latent_dim : int the size of the latent dimension img_shape : tuple the shape of the input image
- def f... | Implement the Python class `Decoder` described below.
Class description:
Decodes an already encoded image signal
Method signatures and docstrings:
- def __init__(self, latent_dim, img_shape): Parameters ---------- latent_dim : int the size of the latent dimension img_shape : tuple the shape of the input image
- def f... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class Decoder:
"""Decodes an already encoded image signal"""
def __init__(self, latent_dim, img_shape):
"""Parameters ---------- latent_dim : int the size of the latent dimension img_shape : tuple the shape of the input image"""
<|body_0|>
def forward(self, z):
"""Feed... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
"""Decodes an already encoded image signal"""
def __init__(self, latent_dim, img_shape):
"""Parameters ---------- latent_dim : int the size of the latent dimension img_shape : tuple the shape of the input image"""
super().__init__()
self._img_shape = img_shape
sel... | the_stack_v2_python_sparse | dlutils/models/gans/adversarial_autoencoder/models.py | justusschock/dl-utils | train | 15 |
40156aeda5db65df5bac7d87240906e4c30c5f1b | [
"super().__init__(num_heads, block)\nself.num_sliding_window_blocks = num_sliding_window_blocks\nself.attention = attention",
"num_blocks = layout.shape[1]\nif num_blocks < self.num_sliding_window_blocks:\n raise ValueError(f'Number of sliding window blocks, {self.num_sliding_window_blocks}, must be smaller th... | <|body_start_0|>
super().__init__(num_heads, block)
self.num_sliding_window_blocks = num_sliding_window_blocks
self.attention = attention
<|end_body_0|>
<|body_start_1|>
num_blocks = layout.shape[1]
if num_blocks < self.num_sliding_window_blocks:
raise ValueError(f'N... | Configuration class to store `Local Sliding Window` sparsity configuration - a purely-local sliding window attention. This class extends parent class of `SparsityConfig` and customizes it for `Local` sparsity. | LocalSlidingWindowSparsityConfig | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocalSlidingWindowSparsityConfig:
"""Configuration class to store `Local Sliding Window` sparsity configuration - a purely-local sliding window attention. This class extends parent class of `SparsityConfig` and customizes it for `Local` sparsity."""
def __init__(self, num_heads, block=16, nu... | stack_v2_sparse_classes_75kplus_train_002354 | 42,463 | permissive | [
{
"docstring": "Initialize the Local Sliding Window Sparsity Pattern Config. For usage example please see, TODO DeepSpeed Sparse Transformer Tutorial Arguments: num_heads: required: an integer determining number of attention heads of the layer. block: optional: an integer determining the block size. Current imp... | 3 | stack_v2_sparse_classes_30k_train_047976 | Implement the Python class `LocalSlidingWindowSparsityConfig` described below.
Class description:
Configuration class to store `Local Sliding Window` sparsity configuration - a purely-local sliding window attention. This class extends parent class of `SparsityConfig` and customizes it for `Local` sparsity.
Method sig... | Implement the Python class `LocalSlidingWindowSparsityConfig` described below.
Class description:
Configuration class to store `Local Sliding Window` sparsity configuration - a purely-local sliding window attention. This class extends parent class of `SparsityConfig` and customizes it for `Local` sparsity.
Method sig... | 55d9964c59c0c6e23158b5789a5c36c28939a7b0 | <|skeleton|>
class LocalSlidingWindowSparsityConfig:
"""Configuration class to store `Local Sliding Window` sparsity configuration - a purely-local sliding window attention. This class extends parent class of `SparsityConfig` and customizes it for `Local` sparsity."""
def __init__(self, num_heads, block=16, nu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LocalSlidingWindowSparsityConfig:
"""Configuration class to store `Local Sliding Window` sparsity configuration - a purely-local sliding window attention. This class extends parent class of `SparsityConfig` and customizes it for `Local` sparsity."""
def __init__(self, num_heads, block=16, num_sliding_win... | the_stack_v2_python_sparse | deepspeed/ops/sparse_attention/sparsity_config.py | microsoft/DeepSpeed | train | 27,557 |
fc3d20d98d6429a6d9762bd109bb6365389373cc | [
"token = su.requestToken(self.email)\nself.granted = datetime.now()\nself.save()\nreturn token",
"if self.granted:\n self.formatedGranted = datetime.strftime(self.granted, '%b %d, %Y')\nself.formatedCreated = datetime.strftime(self.created, '%b %d, %Y')",
"foundrequest = []\nfor request in items:\n if req... | <|body_start_0|>
token = su.requestToken(self.email)
self.granted = datetime.now()
self.save()
return token
<|end_body_0|>
<|body_start_1|>
if self.granted:
self.formatedGranted = datetime.strftime(self.granted, '%b %d, %Y')
self.formatedCreated = datetime.st... | requestORM | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class requestORM:
def generateToken(self):
"""Generates an invite token to be sent to and used for registering, along with saves the time the request was granted. :return: The invite token which is a URL save, serialized version of their email signed with a secret and a salt."""
<|body... | stack_v2_sparse_classes_75kplus_train_002355 | 2,120 | permissive | [
{
"docstring": "Generates an invite token to be sent to and used for registering, along with saves the time the request was granted. :return: The invite token which is a URL save, serialized version of their email signed with a secret and a salt.",
"name": "generateToken",
"signature": "def generateToke... | 3 | null | Implement the Python class `requestORM` described below.
Class description:
Implement the requestORM class.
Method signatures and docstrings:
- def generateToken(self): Generates an invite token to be sent to and used for registering, along with saves the time the request was granted. :return: The invite token which ... | Implement the Python class `requestORM` described below.
Class description:
Implement the requestORM class.
Method signatures and docstrings:
- def generateToken(self): Generates an invite token to be sent to and used for registering, along with saves the time the request was granted. :return: The invite token which ... | fbf9d0c5278a23f18b586dee89bb054794b3d452 | <|skeleton|>
class requestORM:
def generateToken(self):
"""Generates an invite token to be sent to and used for registering, along with saves the time the request was granted. :return: The invite token which is a URL save, serialized version of their email signed with a secret and a salt."""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class requestORM:
def generateToken(self):
"""Generates an invite token to be sent to and used for registering, along with saves the time the request was granted. :return: The invite token which is a URL save, serialized version of their email signed with a secret and a salt."""
token = su.requestTo... | the_stack_v2_python_sparse | flagr_core/models/couch/request/requestModel.py | JoshAshby/Fla.gr | train | 0 | |
9cc209a5a67157117eb2120a8ce4877a89a3d86a | [
"passwordAuth = v3.Password(auth_url=osAuthUrl, user_domain_name='default', username=username, password=password, project_domain_name=osProjectDomain, project_name=osProjectName, unscoped=False)\nscopedSession = session.Session(auth=passwordAuth)\nreturn scopedSession",
"for k, v in kwargs:\n if k == 'configPa... | <|body_start_0|>
passwordAuth = v3.Password(auth_url=osAuthUrl, user_domain_name='default', username=username, password=password, project_domain_name=osProjectDomain, project_name=osProjectName, unscoped=False)
scopedSession = session.Session(auth=passwordAuth)
return scopedSession
<|end_body_0|... | SwiftHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SwiftHandler:
def _getScopedSession(self, osAuthUrl, username, password, osProjectDomain, osProjectName):
"""Uses keystone authentication to create and return a scoped session"""
<|body_0|>
def _initiateSwiftConnection(self, **kwargs):
"""Initiates a Swift connection... | stack_v2_sparse_classes_75kplus_train_002356 | 2,405 | permissive | [
{
"docstring": "Uses keystone authentication to create and return a scoped session",
"name": "_getScopedSession",
"signature": "def _getScopedSession(self, osAuthUrl, username, password, osProjectDomain, osProjectName)"
},
{
"docstring": "Initiates a Swift connection and returns a Swift connecti... | 3 | stack_v2_sparse_classes_30k_train_010298 | Implement the Python class `SwiftHandler` described below.
Class description:
Implement the SwiftHandler class.
Method signatures and docstrings:
- def _getScopedSession(self, osAuthUrl, username, password, osProjectDomain, osProjectName): Uses keystone authentication to create and return a scoped session
- def _init... | Implement the Python class `SwiftHandler` described below.
Class description:
Implement the SwiftHandler class.
Method signatures and docstrings:
- def _getScopedSession(self, osAuthUrl, username, password, osProjectDomain, osProjectName): Uses keystone authentication to create and return a scoped session
- def _init... | 886e28081db453977f1ea6ba6e3bde7efe0de6f0 | <|skeleton|>
class SwiftHandler:
def _getScopedSession(self, osAuthUrl, username, password, osProjectDomain, osProjectName):
"""Uses keystone authentication to create and return a scoped session"""
<|body_0|>
def _initiateSwiftConnection(self, **kwargs):
"""Initiates a Swift connection... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SwiftHandler:
def _getScopedSession(self, osAuthUrl, username, password, osProjectDomain, osProjectName):
"""Uses keystone authentication to create and return a scoped session"""
passwordAuth = v3.Password(auth_url=osAuthUrl, user_domain_name='default', username=username, password=password, pr... | the_stack_v2_python_sparse | openshift/pman-swift-publisher/swift_handler.py | Chris210634/pman | train | 0 | |
a67513f277511b882cb7d915c72ee52d4a728f86 | [
"self.img_width = img_width\nself.img_height = img_height\nself.flip_horiz = flip_horiz\nself.inter = inter",
"crops = []\nheight, width = image.shape[:2]\ncorners = [[0, 0, self.img_width, self.img_height], [width - self.img_width, 0, width, self.img_height], [width - self.img_width, height - self.img_height, wi... | <|body_start_0|>
self.img_width = img_width
self.img_height = img_height
self.flip_horiz = flip_horiz
self.inter = inter
<|end_body_0|>
<|body_start_1|>
crops = []
height, width = image.shape[:2]
corners = [[0, 0, self.img_width, self.img_height], [width - self.i... | CropPreprocessor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CropPreprocessor:
def __init__(self, img_width, img_height, flip_horiz=True, inter=cv2.INTER_AREA):
"""Initialise the class :param img_width: desired image width :param img_height: desired image height :param flip_horiz: whether horizontal flips are also required :param inter: desired in... | stack_v2_sparse_classes_75kplus_train_002357 | 2,378 | no_license | [
{
"docstring": "Initialise the class :param img_width: desired image width :param img_height: desired image height :param flip_horiz: whether horizontal flips are also required :param inter: desired interpolation method",
"name": "__init__",
"signature": "def __init__(self, img_width, img_height, flip_h... | 2 | stack_v2_sparse_classes_30k_train_012350 | Implement the Python class `CropPreprocessor` described below.
Class description:
Implement the CropPreprocessor class.
Method signatures and docstrings:
- def __init__(self, img_width, img_height, flip_horiz=True, inter=cv2.INTER_AREA): Initialise the class :param img_width: desired image width :param img_height: de... | Implement the Python class `CropPreprocessor` described below.
Class description:
Implement the CropPreprocessor class.
Method signatures and docstrings:
- def __init__(self, img_width, img_height, flip_horiz=True, inter=cv2.INTER_AREA): Initialise the class :param img_width: desired image width :param img_height: de... | e9f2010715fa06f50095d05684617c86e18ca661 | <|skeleton|>
class CropPreprocessor:
def __init__(self, img_width, img_height, flip_horiz=True, inter=cv2.INTER_AREA):
"""Initialise the class :param img_width: desired image width :param img_height: desired image height :param flip_horiz: whether horizontal flips are also required :param inter: desired in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CropPreprocessor:
def __init__(self, img_width, img_height, flip_horiz=True, inter=cv2.INTER_AREA):
"""Initialise the class :param img_width: desired image width :param img_height: desired image height :param flip_horiz: whether horizontal flips are also required :param inter: desired interpolation me... | the_stack_v2_python_sparse | dltoolkit/preprocess/crop.py | GeoffBreemer/DLToolkit | train | 2 | |
53772cf4d9b6bde55203337166f037dae8982452 | [
"arg_raw.prog = 'ExampleScript.py'\narg_raw.description = 'New Example Description.'\narg_raw.add_argument('-z', '--example', dest='str_new_variable_to_play_with', default='Hello', help='An example help text.')",
"str_dir_1 = os.path.join(args_parsed.str_file_base, 'dir1')\nstr_dir_2 = os.path.join(args_parsed.st... | <|body_start_0|>
arg_raw.prog = 'ExampleScript.py'
arg_raw.description = 'New Example Description.'
arg_raw.add_argument('-z', '--example', dest='str_new_variable_to_play_with', default='Hello', help='An example help text.')
<|end_body_0|>
<|body_start_1|>
str_dir_1 = os.path.join(args_... | An example script to run as a test or use as an example. This script creates a small directory hierarchy and creates files in those directories. Output dir is given by arguments. output_dir - dir1 - dir4 - file2.txt - file3.txt - dir5 - file1.txt - dir2 - dir6 - file4.txt - dir3 - file5.txt - file6.txt - file7.txt Depe... | ExampleScript | [
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExampleScript:
"""An example script to run as a test or use as an example. This script creates a small directory hierarchy and creates files in those directories. Output dir is given by arguments. output_dir - dir1 - dir4 - file2.txt - file3.txt - dir5 - file1.txt - dir2 - dir6 - file4.txt - dir3... | stack_v2_sparse_classes_75kplus_train_002358 | 5,401 | permissive | [
{
"docstring": "Updates to the arg parser, command line options * arg_raw : Arguments ( not yet parsed ) : Arguments * return : Updated Arguments : Arguments",
"name": "func_update_arguments",
"signature": "def func_update_arguments(self, arg_raw)"
},
{
"docstring": "Allows: - the creation of co... | 2 | stack_v2_sparse_classes_30k_train_047480 | Implement the Python class `ExampleScript` described below.
Class description:
An example script to run as a test or use as an example. This script creates a small directory hierarchy and creates files in those directories. Output dir is given by arguments. output_dir - dir1 - dir4 - file2.txt - file3.txt - dir5 - fil... | Implement the Python class `ExampleScript` described below.
Class description:
An example script to run as a test or use as an example. This script creates a small directory hierarchy and creates files in those directories. Output dir is given by arguments. output_dir - dir1 - dir4 - file2.txt - file3.txt - dir5 - fil... | 416ab3415b0d11ca13b9f35a61a6a5d0c319fd3a | <|skeleton|>
class ExampleScript:
"""An example script to run as a test or use as an example. This script creates a small directory hierarchy and creates files in those directories. Output dir is given by arguments. output_dir - dir1 - dir4 - file2.txt - file3.txt - dir5 - file1.txt - dir2 - dir6 - file4.txt - dir3... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExampleScript:
"""An example script to run as a test or use as an example. This script creates a small directory hierarchy and creates files in those directories. Output dir is given by arguments. output_dir - dir1 - dir4 - file2.txt - file3.txt - dir5 - file1.txt - dir2 - dir6 - file4.txt - dir3 - file5.txt ... | the_stack_v2_python_sparse | demo/ExampleWDLScript.py | SciEDPipeR/SciEDPipeR | train | 5 |
d2584a376812fc29eef7e5777707c81ae348b5bf | [
"max_1 = 0\nl = len(s)\ndp = [[-1] * l for _ in range(l)]\nfor i in range(l):\n if s[i] == ')':\n dp[i][i] = -1\n continue\n else:\n dp[i][i] = 1\n for j in range(i + 1, l):\n if s[j] == '(':\n dp[i][j] = dp[i][j - 1] + 1\n else:\n dp[i][j] = dp[i][j... | <|body_start_0|>
max_1 = 0
l = len(s)
dp = [[-1] * l for _ in range(l)]
for i in range(l):
if s[i] == ')':
dp[i][i] = -1
continue
else:
dp[i][i] = 1
for j in range(i + 1, l):
if s[j] == '(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int time_limit_over"""
<|body_0|>
def longestValidParentheses_1(self, s):
"""79ms :param s: :return:"""
<|body_1|>
def longestValidParentheses_2(self, s):
""":type s: str :rt... | stack_v2_sparse_classes_75kplus_train_002359 | 3,220 | no_license | [
{
"docstring": ":type s: str :rtype: int time_limit_over",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s)"
},
{
"docstring": "79ms :param s: :return:",
"name": "longestValidParentheses_1",
"signature": "def longestValidParentheses_1(self, s)"
},
... | 4 | stack_v2_sparse_classes_30k_train_052238 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int time_limit_over
- def longestValidParentheses_1(self, s): 79ms :param s: :return:
- def longestValidParentheses_2(s... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int time_limit_over
- def longestValidParentheses_1(self, s): 79ms :param s: :return:
- def longestValidParentheses_2(s... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int time_limit_over"""
<|body_0|>
def longestValidParentheses_1(self, s):
"""79ms :param s: :return:"""
<|body_1|>
def longestValidParentheses_2(self, s):
""":type s: str :rt... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int time_limit_over"""
max_1 = 0
l = len(s)
dp = [[-1] * l for _ in range(l)]
for i in range(l):
if s[i] == ')':
dp[i][i] = -1
continue
else:
... | the_stack_v2_python_sparse | LongestValidParentheses_HARD_32.py | 953250587/leetcode-python | train | 2 | |
e67e4e412d280ff36b1a73f4eb01962d5d0f7c81 | [
"super(SelectBox, self).__init__(parent)\nself._leftBrushColor = QColor()\nself._rightBrushColor = QColor()\nself._leftPenColor = QColor()\nself._rightPenColor = QColor()\nself._alpha = 255\nself._dirBrush = QBrush()\nself._leftBrush = QBrush()\nself._rightBrush = QBrush()\nself._dirPen = QPen()\nself._leftPen = QP... | <|body_start_0|>
super(SelectBox, self).__init__(parent)
self._leftBrushColor = QColor()
self._rightBrushColor = QColor()
self._leftPenColor = QColor()
self._rightPenColor = QColor()
self._alpha = 255
self._dirBrush = QBrush()
self._leftBrush = QBrush()
... | Subclass of `QRubberBand`_ TOWRITE | SelectBox | [
"Zlib",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SelectBox:
"""Subclass of `QRubberBand`_ TOWRITE"""
def __init__(self, s, parent=None):
"""Default class constructor. :param `s`: TOWRITE :type `s`: QRubberBand.Shape :param `parent`: Pointer to a parent widget instance. :type `parent`: `QWidget`_"""
<|body_0|>
def setDi... | stack_v2_sparse_classes_75kplus_train_002360 | 4,928 | permissive | [
{
"docstring": "Default class constructor. :param `s`: TOWRITE :type `s`: QRubberBand.Shape :param `parent`: Pointer to a parent widget instance. :type `parent`: `QWidget`_",
"name": "__init__",
"signature": "def __init__(self, s, parent=None)"
},
{
"docstring": "TOWRITE :param `dir`: TOWRITE :t... | 5 | stack_v2_sparse_classes_30k_train_044449 | Implement the Python class `SelectBox` described below.
Class description:
Subclass of `QRubberBand`_ TOWRITE
Method signatures and docstrings:
- def __init__(self, s, parent=None): Default class constructor. :param `s`: TOWRITE :type `s`: QRubberBand.Shape :param `parent`: Pointer to a parent widget instance. :type ... | Implement the Python class `SelectBox` described below.
Class description:
Subclass of `QRubberBand`_ TOWRITE
Method signatures and docstrings:
- def __init__(self, s, parent=None): Default class constructor. :param `s`: TOWRITE :type `s`: QRubberBand.Shape :param `parent`: Pointer to a parent widget instance. :type ... | 9c5c2baea3bf3897470495e2a50eb70ee1363637 | <|skeleton|>
class SelectBox:
"""Subclass of `QRubberBand`_ TOWRITE"""
def __init__(self, s, parent=None):
"""Default class constructor. :param `s`: TOWRITE :type `s`: QRubberBand.Shape :param `parent`: Pointer to a parent widget instance. :type `parent`: `QWidget`_"""
<|body_0|>
def setDi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SelectBox:
"""Subclass of `QRubberBand`_ TOWRITE"""
def __init__(self, s, parent=None):
"""Default class constructor. :param `s`: TOWRITE :type `s`: QRubberBand.Shape :param `parent`: Pointer to a parent widget instance. :type `parent`: `QWidget`_"""
super(SelectBox, self).__init__(parent... | the_stack_v2_python_sparse | experimental/python/gui/selectbox.py | Fran89/Embroidermodder | train | 1 |
97032bdad21397d70f35eb09edc775f4072e11f6 | [
"diff_terms = {}\ndifferentiated_terms = self.finite_differences(dvar.data, ivar.spacing, self.diff_order)\nfor i in range(differentiated_terms.shape[1]):\n descriptor = self.format_diff_descriptor(ivar.name, dvar.name, i + 1)\n diff_data = differentiated_terms[:, i].flatten()\n diff_terms[descriptor] = di... | <|body_start_0|>
diff_terms = {}
differentiated_terms = self.finite_differences(dvar.data, ivar.spacing, self.diff_order)
for i in range(differentiated_terms.shape[1]):
descriptor = self.format_diff_descriptor(ivar.name, dvar.name, i + 1)
diff_data = differentiated_terms[... | Differentiator class which implements Finite Differences. | FiniteDifferences | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FiniteDifferences:
"""Differentiator class which implements Finite Differences."""
def differentiate(self, ivar: IndVar, dvar: DepVar):
"""Differentiate the dependent variable data with respect to ind var. Keyword arguments: ivar -- IndependentVariable instance to differentiate w.r.t... | stack_v2_sparse_classes_75kplus_train_002361 | 3,839 | permissive | [
{
"docstring": "Differentiate the dependent variable data with respect to ind var. Keyword arguments: ivar -- IndependentVariable instance to differentiate w.r.t. dvar -- DependentVariable instance to differentiate Returns: diff_terms -- dictionary of numerically differentiated terms",
"name": "differentiat... | 3 | null | Implement the Python class `FiniteDifferences` described below.
Class description:
Differentiator class which implements Finite Differences.
Method signatures and docstrings:
- def differentiate(self, ivar: IndVar, dvar: DepVar): Differentiate the dependent variable data with respect to ind var. Keyword arguments: iv... | Implement the Python class `FiniteDifferences` described below.
Class description:
Differentiator class which implements Finite Differences.
Method signatures and docstrings:
- def differentiate(self, ivar: IndVar, dvar: DepVar): Differentiate the dependent variable data with respect to ind var. Keyword arguments: iv... | ac5b2bb4854bb311e4f6f26b180dde87cc10c13d | <|skeleton|>
class FiniteDifferences:
"""Differentiator class which implements Finite Differences."""
def differentiate(self, ivar: IndVar, dvar: DepVar):
"""Differentiate the dependent variable data with respect to ind var. Keyword arguments: ivar -- IndependentVariable instance to differentiate w.r.t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FiniteDifferences:
"""Differentiator class which implements Finite Differences."""
def differentiate(self, ivar: IndVar, dvar: DepVar):
"""Differentiate the dependent variable data with respect to ind var. Keyword arguments: ivar -- IndependentVariable instance to differentiate w.r.t. dvar -- Dep... | the_stack_v2_python_sparse | sindy_bvp/differentiators/finite_differences.py | AI-and-ML/SINDy-BVP | train | 0 |
3b015eb59532f512ab2aab084c2d59d635c5a009 | [
"if k > len(nums):\n return ()\npreSum = 0\nmaxSum = -float('Inf')\nfor i in range(0, len(nums) - k + 1):\n preSum = sum(nums[i:i + k])\n maxSum = max(maxSum, preSum)\nreturn maxSum / k",
"if k > len(nums):\n return ()\npreSum = sum(nums[0:k])\nmaxSum = preSum\nfor i in range(k, len(nums)):\n preSu... | <|body_start_0|>
if k > len(nums):
return ()
preSum = 0
maxSum = -float('Inf')
for i in range(0, len(nums) - k + 1):
preSum = sum(nums[i:i + k])
maxSum = max(maxSum, preSum)
return maxSum / k
<|end_body_0|>
<|body_start_1|>
if k > len(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_0|>
def findMaxAverage2(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if... | stack_v2_sparse_classes_75kplus_train_002362 | 1,288 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: float",
"name": "findMaxAverage",
"signature": "def findMaxAverage(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: float",
"name": "findMaxAverage2",
"signature": "def findMaxAverage2(self, nums, k)"... | 2 | stack_v2_sparse_classes_30k_train_026885 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMaxAverage(self, nums, k): :type nums: List[int] :type k: int :rtype: float
- def findMaxAverage2(self, nums, k): :type nums: List[int] :type k: int :rtype: float | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMaxAverage(self, nums, k): :type nums: List[int] :type k: int :rtype: float
- def findMaxAverage2(self, nums, k): :type nums: List[int] :type k: int :rtype: float
<|skel... | 604efd2c53c369fb262f42f7f7f31997ea4d029b | <|skeleton|>
class Solution:
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_0|>
def findMaxAverage2(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
if k > len(nums):
return ()
preSum = 0
maxSum = -float('Inf')
for i in range(0, len(nums) - k + 1):
preSum = sum(nums[i:i + k])
maxSum... | the_stack_v2_python_sparse | 643_MaximumAverageSubarrayI.py | fxy1018/Leetcode | train | 1 | |
03bd4ffbbe35eebeffc6257a761aa7d5fb7d13a7 | [
"self.fields[name] = typ(label='', required=False)\nif value is not None:\n self.fields[name].initial = value\nif pos:\n order = list(self.fields.keys())\n order.remove(name)\n order.insert(pos, name)\n self.fields = OrderedDict(((key, self.fields[key]) for key in order))",
"expr = re.compile('%s_\... | <|body_start_0|>
self.fields[name] = typ(label='', required=False)
if value is not None:
self.fields[name].initial = value
if pos:
order = list(self.fields.keys())
order.remove(name)
order.insert(pos, name)
self.fields = OrderedDict(((k... | A form which accepts dynamic fields. We consider a field to be dynamic when it can appear multiple times within the same request. | DynamicForm | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DynamicForm:
"""A form which accepts dynamic fields. We consider a field to be dynamic when it can appear multiple times within the same request."""
def _create_field(self, typ, name, value=None, pos=None):
"""Create a new form field."""
<|body_0|>
def _load_from_qdict(s... | stack_v2_sparse_classes_75kplus_train_002363 | 11,908 | permissive | [
{
"docstring": "Create a new form field.",
"name": "_create_field",
"signature": "def _create_field(self, typ, name, value=None, pos=None)"
},
{
"docstring": "Load all instances of a field from a ``QueryDict`` object. :param ``QueryDict`` qdict: a QueryDict object :param string pattern: pattern ... | 2 | stack_v2_sparse_classes_30k_train_044291 | Implement the Python class `DynamicForm` described below.
Class description:
A form which accepts dynamic fields. We consider a field to be dynamic when it can appear multiple times within the same request.
Method signatures and docstrings:
- def _create_field(self, typ, name, value=None, pos=None): Create a new form... | Implement the Python class `DynamicForm` described below.
Class description:
A form which accepts dynamic fields. We consider a field to be dynamic when it can appear multiple times within the same request.
Method signatures and docstrings:
- def _create_field(self, typ, name, value=None, pos=None): Create a new form... | df699aab0799ec1725b6b89be38e56285821c889 | <|skeleton|>
class DynamicForm:
"""A form which accepts dynamic fields. We consider a field to be dynamic when it can appear multiple times within the same request."""
def _create_field(self, typ, name, value=None, pos=None):
"""Create a new form field."""
<|body_0|>
def _load_from_qdict(s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DynamicForm:
"""A form which accepts dynamic fields. We consider a field to be dynamic when it can appear multiple times within the same request."""
def _create_field(self, typ, name, value=None, pos=None):
"""Create a new form field."""
self.fields[name] = typ(label='', required=False)
... | the_stack_v2_python_sparse | modoboa/lib/form_utils.py | modoboa/modoboa | train | 2,201 |
69d9d58a9ba83a6337092f15bad56672e3365243 | [
"size = len(nums)\ndp = [0] * (size + 1)\nif size:\n dp[1] = nums[0]\nfor i in range(2, size + 1):\n dp[i] = max(dp[i - 1], dp[i - 2] + nums[i - 1])\nreturn dp[size]",
"last, now = (0, 0)\nfor num in nums:\n last, now = (now, max(last + num, now))\nreturn now"
] | <|body_start_0|>
size = len(nums)
dp = [0] * (size + 1)
if size:
dp[1] = nums[0]
for i in range(2, size + 1):
dp[i] = max(dp[i - 1], dp[i - 2] + nums[i - 1])
return dp[size]
<|end_body_0|>
<|body_start_1|>
last, now = (0, 0)
for num in num... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def houseRobber(self, nums):
"""动态转移方程：dp[i] = max(dp[i-1], dp[i-2]+nums[i]) dp[i]表示打劫到第i家的时候，累计取得的金钱最大值 :param nums: :return:"""
<|body_0|>
def house_robber(self, nums):
""":param nums: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_002364 | 928 | no_license | [
{
"docstring": "动态转移方程：dp[i] = max(dp[i-1], dp[i-2]+nums[i]) dp[i]表示打劫到第i家的时候，累计取得的金钱最大值 :param nums: :return:",
"name": "houseRobber",
"signature": "def houseRobber(self, nums)"
},
{
"docstring": ":param nums: :return:",
"name": "house_robber",
"signature": "def house_robber(self, nums)... | 2 | stack_v2_sparse_classes_30k_train_026816 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def houseRobber(self, nums): 动态转移方程：dp[i] = max(dp[i-1], dp[i-2]+nums[i]) dp[i]表示打劫到第i家的时候，累计取得的金钱最大值 :param nums: :return:
- def house_robber(self, nums): :param nums: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def houseRobber(self, nums): 动态转移方程：dp[i] = max(dp[i-1], dp[i-2]+nums[i]) dp[i]表示打劫到第i家的时候，累计取得的金钱最大值 :param nums: :return:
- def house_robber(self, nums): :param nums: :return:
... | 215d513b3564a7a76db3d2b29e4acc341a68e8ee | <|skeleton|>
class Solution:
def houseRobber(self, nums):
"""动态转移方程：dp[i] = max(dp[i-1], dp[i-2]+nums[i]) dp[i]表示打劫到第i家的时候，累计取得的金钱最大值 :param nums: :return:"""
<|body_0|>
def house_robber(self, nums):
""":param nums: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def houseRobber(self, nums):
"""动态转移方程：dp[i] = max(dp[i-1], dp[i-2]+nums[i]) dp[i]表示打劫到第i家的时候，累计取得的金钱最大值 :param nums: :return:"""
size = len(nums)
dp = [0] * (size + 1)
if size:
dp[1] = nums[0]
for i in range(2, size + 1):
dp[i] = max(d... | the_stack_v2_python_sparse | python/dp/house-robber.py | euxuoh/leetcode | train | 0 | |
5fd2736f5e027f80c7070dea2b8f80325764ed59 | [
"self.queues = {}\nself.queues['tasks'] = Queue()\nself.queues['trans'] = Queue()\nself.queues['blocks'] = Queue()\nfor _ in range(num_threads):\n Worker(metadata, self.queues)\nMiner(metadata, self.queues)",
"try:\n action = THREAD_FUNCTIONS[task['action']]\n params = task['params']\n self.queues['ta... | <|body_start_0|>
self.queues = {}
self.queues['tasks'] = Queue()
self.queues['trans'] = Queue()
self.queues['blocks'] = Queue()
for _ in range(num_threads):
Worker(metadata, self.queues)
Miner(metadata, self.queues)
<|end_body_0|>
<|body_start_1|>
try... | ThreadHandler | ThreadHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreadHandler:
"""ThreadHandler"""
def __init__(self, metadata, num_threads):
"""__init__() The constructor for the ThreadHandler object. :param metadata: <dict> The metadata for the node. :param num_threads: <int> The number of threads to create."""
<|body_0|>
def add_t... | stack_v2_sparse_classes_75kplus_train_002365 | 3,135 | permissive | [
{
"docstring": "__init__() The constructor for the ThreadHandler object. :param metadata: <dict> The metadata for the node. :param num_threads: <int> The number of threads to create.",
"name": "__init__",
"signature": "def __init__(self, metadata, num_threads)"
},
{
"docstring": "add_task() This... | 2 | stack_v2_sparse_classes_30k_train_022369 | Implement the Python class `ThreadHandler` described below.
Class description:
ThreadHandler
Method signatures and docstrings:
- def __init__(self, metadata, num_threads): __init__() The constructor for the ThreadHandler object. :param metadata: <dict> The metadata for the node. :param num_threads: <int> The number o... | Implement the Python class `ThreadHandler` described below.
Class description:
ThreadHandler
Method signatures and docstrings:
- def __init__(self, metadata, num_threads): __init__() The constructor for the ThreadHandler object. :param metadata: <dict> The metadata for the node. :param num_threads: <int> The number o... | c6186aa7e4de0392788ab890e93b59f416b81a10 | <|skeleton|>
class ThreadHandler:
"""ThreadHandler"""
def __init__(self, metadata, num_threads):
"""__init__() The constructor for the ThreadHandler object. :param metadata: <dict> The metadata for the node. :param num_threads: <int> The number of threads to create."""
<|body_0|>
def add_t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThreadHandler:
"""ThreadHandler"""
def __init__(self, metadata, num_threads):
"""__init__() The constructor for the ThreadHandler object. :param metadata: <dict> The metadata for the node. :param num_threads: <int> The number of threads to create."""
self.queues = {}
self.queues['... | the_stack_v2_python_sparse | thread.py | sjpacwa/SBChain | train | 1 |
feca7da6c9d767b56d4471369542a0eab199548c | [
"BackPropagation.__init__(self, neural_network, learning_rate, max_error, max_iterations)\nself.momentum = momentum\nself.previous_weight_values = {}\n':type : dict[synapyse.base.connection.Connection, float]'",
"for connection in neuron.input_connections.values():\n connection_input = connection.origin.output... | <|body_start_0|>
BackPropagation.__init__(self, neural_network, learning_rate, max_error, max_iterations)
self.momentum = momentum
self.previous_weight_values = {}
':type : dict[synapyse.base.connection.Connection, float]'
<|end_body_0|>
<|body_start_1|>
for connection in neuron... | MomentumBackPropagation | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MomentumBackPropagation:
def __init__(self, neural_network, learning_rate, momentum, max_error, max_iterations=None):
""":type neural_network: synapyse.base.neural_network.NeuralNetwork :type learning_rate: float :type momentum: float :type max_error: float :type max_iterations: int"""
... | stack_v2_sparse_classes_75kplus_train_002366 | 1,483 | permissive | [
{
"docstring": ":type neural_network: synapyse.base.neural_network.NeuralNetwork :type learning_rate: float :type momentum: float :type max_error: float :type max_iterations: int",
"name": "__init__",
"signature": "def __init__(self, neural_network, learning_rate, momentum, max_error, max_iterations=Non... | 2 | stack_v2_sparse_classes_30k_train_020777 | Implement the Python class `MomentumBackPropagation` described below.
Class description:
Implement the MomentumBackPropagation class.
Method signatures and docstrings:
- def __init__(self, neural_network, learning_rate, momentum, max_error, max_iterations=None): :type neural_network: synapyse.base.neural_network.Neur... | Implement the Python class `MomentumBackPropagation` described below.
Class description:
Implement the MomentumBackPropagation class.
Method signatures and docstrings:
- def __init__(self, neural_network, learning_rate, momentum, max_error, max_iterations=None): :type neural_network: synapyse.base.neural_network.Neur... | 8c9ff53ede2d83af27ce771ce1b6ea6a32155b02 | <|skeleton|>
class MomentumBackPropagation:
def __init__(self, neural_network, learning_rate, momentum, max_error, max_iterations=None):
""":type neural_network: synapyse.base.neural_network.NeuralNetwork :type learning_rate: float :type momentum: float :type max_error: float :type max_iterations: int"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MomentumBackPropagation:
def __init__(self, neural_network, learning_rate, momentum, max_error, max_iterations=None):
""":type neural_network: synapyse.base.neural_network.NeuralNetwork :type learning_rate: float :type momentum: float :type max_error: float :type max_iterations: int"""
BackPro... | the_stack_v2_python_sparse | synapyse/impl/learning/momentum_back_propagation.py | dougefr/synapyse | train | 4 | |
cc8161ff336ab5dfec256f4aaf2b906862a9917e | [
"data = [1, 2, 3, 4, 5, 6, 7, 8]\nout = sliding_window(data, 3)\nnp.testing.assert_array_equal(out, [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8]])\nout = sliding_window(data, 3, hop=2)\nnp.testing.assert_array_equal(out, [[1, 2, 3], [3, 4, 5], [5, 6, 7]])\nout = sliding_window(data, 4, hop=3)\n... | <|body_start_0|>
data = [1, 2, 3, 4, 5, 6, 7, 8]
out = sliding_window(data, 3)
np.testing.assert_array_equal(out, [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8]])
out = sliding_window(data, 3, hop=2)
np.testing.assert_array_equal(out, [[1, 2, 3], [3, 4, 5], [5,... | SlidingWindowTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SlidingWindowTest:
def test_sliding_window_basic(self):
"""Test basic calls of sliding_window where the input is 1D."""
<|body_0|>
def test_sliding_window_multichannel(self):
"""Test where input is 2D, representing multiple channels."""
<|body_1|>
def te... | stack_v2_sparse_classes_75kplus_train_002367 | 3,580 | permissive | [
{
"docstring": "Test basic calls of sliding_window where the input is 1D.",
"name": "test_sliding_window_basic",
"signature": "def test_sliding_window_basic(self)"
},
{
"docstring": "Test where input is 2D, representing multiple channels.",
"name": "test_sliding_window_multichannel",
"si... | 4 | stack_v2_sparse_classes_30k_train_025046 | Implement the Python class `SlidingWindowTest` described below.
Class description:
Implement the SlidingWindowTest class.
Method signatures and docstrings:
- def test_sliding_window_basic(self): Test basic calls of sliding_window where the input is 1D.
- def test_sliding_window_multichannel(self): Test where input is... | Implement the Python class `SlidingWindowTest` described below.
Class description:
Implement the SlidingWindowTest class.
Method signatures and docstrings:
- def test_sliding_window_basic(self): Test basic calls of sliding_window where the input is 1D.
- def test_sliding_window_multichannel(self): Test where input is... | c13611b7a8d2ea80349be24bf54b2b50b9431347 | <|skeleton|>
class SlidingWindowTest:
def test_sliding_window_basic(self):
"""Test basic calls of sliding_window where the input is 1D."""
<|body_0|>
def test_sliding_window_multichannel(self):
"""Test where input is 2D, representing multiple channels."""
<|body_1|>
def te... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SlidingWindowTest:
def test_sliding_window_basic(self):
"""Test basic calls of sliding_window where the input is 1D."""
data = [1, 2, 3, 4, 5, 6, 7, 8]
out = sliding_window(data, 3)
np.testing.assert_array_equal(out, [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7... | the_stack_v2_python_sparse | extras/python/phonetics/sliding_window_test.py | google/audio-to-tactile | train | 92 | |
c7926cf5b6f542f9a08e18c13c0fc43279c34759 | [
"self._picker = picker\nself._filters = filters\nself._uploader = uploader",
"self._picker.initialize()\nself._picker.scan()\ntotal_picked = len(self._picker.picked_file_paths)\nself._uploader.initialize()\nfor key, filepath in enumerate(self._picker.picked_file_paths):\n rank = key + 1\n if len(self._filte... | <|body_start_0|>
self._picker = picker
self._filters = filters
self._uploader = uploader
<|end_body_0|>
<|body_start_1|>
self._picker.initialize()
self._picker.scan()
total_picked = len(self._picker.picked_file_paths)
self._uploader.initialize()
for key, ... | Select photos accorting to a chosen strategy and copy them to a chosen destination | PhotosPicker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PhotosPicker:
"""Select photos accorting to a chosen strategy and copy them to a chosen destination"""
def __init__(self, picker, filters, uploader):
"""Constructor :param AbstractPicker picker: photo selection strategy :param tuple filters: filters :param AbstractUploader uploader: ... | stack_v2_sparse_classes_75kplus_train_002368 | 2,479 | permissive | [
{
"docstring": "Constructor :param AbstractPicker picker: photo selection strategy :param tuple filters: filters :param AbstractUploader uploader: upload strategy",
"name": "__init__",
"signature": "def __init__(self, picker, filters, uploader)"
},
{
"docstring": "Run photo selection and upload"... | 2 | stack_v2_sparse_classes_30k_train_054047 | Implement the Python class `PhotosPicker` described below.
Class description:
Select photos accorting to a chosen strategy and copy them to a chosen destination
Method signatures and docstrings:
- def __init__(self, picker, filters, uploader): Constructor :param AbstractPicker picker: photo selection strategy :param ... | Implement the Python class `PhotosPicker` described below.
Class description:
Select photos accorting to a chosen strategy and copy them to a chosen destination
Method signatures and docstrings:
- def __init__(self, picker, filters, uploader): Constructor :param AbstractPicker picker: photo selection strategy :param ... | 6790e0411bb46e3206ca778dbd83ddd1d4f90f21 | <|skeleton|>
class PhotosPicker:
"""Select photos accorting to a chosen strategy and copy them to a chosen destination"""
def __init__(self, picker, filters, uploader):
"""Constructor :param AbstractPicker picker: photo selection strategy :param tuple filters: filters :param AbstractUploader uploader: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PhotosPicker:
"""Select photos accorting to a chosen strategy and copy them to a chosen destination"""
def __init__(self, picker, filters, uploader):
"""Constructor :param AbstractPicker picker: photo selection strategy :param tuple filters: filters :param AbstractUploader uploader: upload strate... | the_stack_v2_python_sparse | photospicker/photos_picker.py | l-vo/photos-picker | train | 0 |
284b845b668cfc0d72c8a860873b77fe70f512b4 | [
"self.output_dir = output_dir\nself.postfix = postfix\nself.ext = extension\nself.parent = parent\nself.makedirs = makedirs\nself.data_root_dir = data_root_dir",
"full_name = create_file_basename(postfix=self.postfix, input_file_name=subject, folder_path=self.output_dir, data_root_dir=self.data_root_dir, separate... | <|body_start_0|>
self.output_dir = output_dir
self.postfix = postfix
self.ext = extension
self.parent = parent
self.makedirs = makedirs
self.data_root_dir = data_root_dir
<|end_body_0|>
<|body_start_1|>
full_name = create_file_basename(postfix=self.postfix, input... | A utility class to create organized filenames within ``output_dir``. The ``filename`` method could be used to create a filename following the folder structure. Example: .. code-block:: python from monai.data import FolderLayout layout = FolderLayout( output_dir="/test_run_1/", postfix="seg", extension="nii", makedirs=F... | FolderLayout | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FolderLayout:
"""A utility class to create organized filenames within ``output_dir``. The ``filename`` method could be used to create a filename following the folder structure. Example: .. code-block:: python from monai.data import FolderLayout layout = FolderLayout( output_dir="/test_run_1/", po... | stack_v2_sparse_classes_75kplus_train_002369 | 6,344 | permissive | [
{
"docstring": "Args: output_dir: output directory. postfix: a postfix string for output file name appended to ``subject``. extension: output file extension to be appended to the end of an output filename. parent: whether to add a level of parent folder to contain each image to the output filename. makedirs: wh... | 2 | stack_v2_sparse_classes_30k_train_013733 | Implement the Python class `FolderLayout` described below.
Class description:
A utility class to create organized filenames within ``output_dir``. The ``filename`` method could be used to create a filename following the folder structure. Example: .. code-block:: python from monai.data import FolderLayout layout = Fold... | Implement the Python class `FolderLayout` described below.
Class description:
A utility class to create organized filenames within ``output_dir``. The ``filename`` method could be used to create a filename following the folder structure. Example: .. code-block:: python from monai.data import FolderLayout layout = Fold... | e48c3e2c741fa3fc705c4425d17ac4a5afac6c47 | <|skeleton|>
class FolderLayout:
"""A utility class to create organized filenames within ``output_dir``. The ``filename`` method could be used to create a filename following the folder structure. Example: .. code-block:: python from monai.data import FolderLayout layout = FolderLayout( output_dir="/test_run_1/", po... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FolderLayout:
"""A utility class to create organized filenames within ``output_dir``. The ``filename`` method could be used to create a filename following the folder structure. Example: .. code-block:: python from monai.data import FolderLayout layout = FolderLayout( output_dir="/test_run_1/", postfix="seg", ... | the_stack_v2_python_sparse | monai/data/folder_layout.py | Project-MONAI/MONAI | train | 4,805 |
221775e46bfc9a94113b43a325336df42cc86b26 | [
"fields = df[cluster].unique()\ncluster_color = ['red', 'blue', 'green', 'orange', 'purple', 'yellow', 'skyblue', 'brown', 'black', 'grey']\nfig = df[df[cluster] == fields[0]].plot.scatter(x=field_x, y=field_y, color=cluster_color[0], label=cluster)\nfor i in range(len(fields) - 1):\n df[df[cluster] == fields[i ... | <|body_start_0|>
fields = df[cluster].unique()
cluster_color = ['red', 'blue', 'green', 'orange', 'purple', 'yellow', 'skyblue', 'brown', 'black', 'grey']
fig = df[df[cluster] == fields[0]].plot.scatter(x=field_x, y=field_y, color=cluster_color[0], label=cluster)
for i in range(len(field... | Introduction --- 데이터 시각화 기능을 제공합니다. graph()로 초기화하는 것을 권장합니다. Methods --- plot(): 점 그래프 생성 violin_plot(): 바이올린 분포 그래프 생성 histogram(): 도수 분포 그래프 생성 heatmap(): 히트맵 생성 | graph | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class graph:
"""Introduction --- 데이터 시각화 기능을 제공합니다. graph()로 초기화하는 것을 권장합니다. Methods --- plot(): 점 그래프 생성 violin_plot(): 바이올린 분포 그래프 생성 histogram(): 도수 분포 그래프 생성 heatmap(): 히트맵 생성"""
def plot(self, df, field_x, field_y, cluster):
"""점 그래프를 생성합니다. 10가지 점 색상을 지원합니다. Parameters --- df: read()... | stack_v2_sparse_classes_75kplus_train_002370 | 5,109 | no_license | [
{
"docstring": "점 그래프를 생성합니다. 10가지 점 색상을 지원합니다. Parameters --- df: read()로부터 불러온 csv 파일이 저장된 객체 field_x: 그래프 x축으로 지정될 필드. \"필드 이름\" 형태로 입력 field_y: 그래프 y축으로 지정될 필드. \"필드 이름\" 형태로 입력 cluster: 점 그래프 위에 표시될 필드. \"필드 이름\" 형태로 입력",
"name": "plot",
"signature": "def plot(self, df, field_x, field_y, cluster)"
... | 4 | stack_v2_sparse_classes_30k_train_002593 | Implement the Python class `graph` described below.
Class description:
Introduction --- 데이터 시각화 기능을 제공합니다. graph()로 초기화하는 것을 권장합니다. Methods --- plot(): 점 그래프 생성 violin_plot(): 바이올린 분포 그래프 생성 histogram(): 도수 분포 그래프 생성 heatmap(): 히트맵 생성
Method signatures and docstrings:
- def plot(self, df, field_x, field_y, cluster): ... | Implement the Python class `graph` described below.
Class description:
Introduction --- 데이터 시각화 기능을 제공합니다. graph()로 초기화하는 것을 권장합니다. Methods --- plot(): 점 그래프 생성 violin_plot(): 바이올린 분포 그래프 생성 histogram(): 도수 분포 그래프 생성 heatmap(): 히트맵 생성
Method signatures and docstrings:
- def plot(self, df, field_x, field_y, cluster): ... | de55db3b29500a365c7587c066887c192988b192 | <|skeleton|>
class graph:
"""Introduction --- 데이터 시각화 기능을 제공합니다. graph()로 초기화하는 것을 권장합니다. Methods --- plot(): 점 그래프 생성 violin_plot(): 바이올린 분포 그래프 생성 histogram(): 도수 분포 그래프 생성 heatmap(): 히트맵 생성"""
def plot(self, df, field_x, field_y, cluster):
"""점 그래프를 생성합니다. 10가지 점 색상을 지원합니다. Parameters --- df: read()... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class graph:
"""Introduction --- 데이터 시각화 기능을 제공합니다. graph()로 초기화하는 것을 권장합니다. Methods --- plot(): 점 그래프 생성 violin_plot(): 바이올린 분포 그래프 생성 histogram(): 도수 분포 그래프 생성 heatmap(): 히트맵 생성"""
def plot(self, df, field_x, field_y, cluster):
"""점 그래프를 생성합니다. 10가지 점 색상을 지원합니다. Parameters --- df: read()로부터 불러온 csv 파... | the_stack_v2_python_sparse | anna/aiclasslib.py | syool/sketchbook | train | 0 |
42bdc6d18d3394296c471f8f39f4cd62f052516a | [
"super(TransformerFFN, self).__init__()\nself._dropout_rate = dropout_rate\nself._dense1 = nn.Linear(input_size, filter_size, bias=True)\nself._dense2 = nn.Linear(filter_size, output_size, bias=True)\nself._activation_fn = get_activation(activation)",
"output = self._activation_fn(self._dense1(inputs))\noutput = ... | <|body_start_0|>
super(TransformerFFN, self).__init__()
self._dropout_rate = dropout_rate
self._dense1 = nn.Linear(input_size, filter_size, bias=True)
self._dense2 = nn.Linear(filter_size, output_size, bias=True)
self._activation_fn = get_activation(activation)
<|end_body_0|>
<|... | Applies the position-wise feed-forward as described in https://arxiv.org/abs/1706.03762 | TransformerFFN | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerFFN:
"""Applies the position-wise feed-forward as described in https://arxiv.org/abs/1706.03762"""
def __init__(self, input_size, filter_size, output_size, dropout_rate, activation='relu'):
"""Initializes Transformer FFN. Args: input_size: The dimension of the input tensor... | stack_v2_sparse_classes_75kplus_train_002371 | 15,012 | permissive | [
{
"docstring": "Initializes Transformer FFN. Args: input_size: The dimension of the input tensor. filter_size: The hidden size of the relu layer. output_size: The output size. dropout_rate: The dropout rate. activation: The activation of internal layer.",
"name": "__init__",
"signature": "def __init__(s... | 2 | stack_v2_sparse_classes_30k_train_038713 | Implement the Python class `TransformerFFN` described below.
Class description:
Applies the position-wise feed-forward as described in https://arxiv.org/abs/1706.03762
Method signatures and docstrings:
- def __init__(self, input_size, filter_size, output_size, dropout_rate, activation='relu'): Initializes Transformer... | Implement the Python class `TransformerFFN` described below.
Class description:
Applies the position-wise feed-forward as described in https://arxiv.org/abs/1706.03762
Method signatures and docstrings:
- def __init__(self, input_size, filter_size, output_size, dropout_rate, activation='relu'): Initializes Transformer... | 06613a99305f02312a0e64ee3c3c50e7b00dcf0e | <|skeleton|>
class TransformerFFN:
"""Applies the position-wise feed-forward as described in https://arxiv.org/abs/1706.03762"""
def __init__(self, input_size, filter_size, output_size, dropout_rate, activation='relu'):
"""Initializes Transformer FFN. Args: input_size: The dimension of the input tensor... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransformerFFN:
"""Applies the position-wise feed-forward as described in https://arxiv.org/abs/1706.03762"""
def __init__(self, input_size, filter_size, output_size, dropout_rate, activation='relu'):
"""Initializes Transformer FFN. Args: input_size: The dimension of the input tensor. filter_size... | the_stack_v2_python_sparse | neurst/neurst_pt/layers/common_layers.py | ohlionel/Prune-Tune | train | 12 |
e0257a70c0582da5e48164379ca164b518268c0e | [
"self.Path = '/proc/device-tree/aliases/mpr121'\nself.Mpr121Init = '/sys/bus/i2c/drivers/mpr121/2-005b/mpr121_init'\nself.Mpr121Data = '/sys/bus/i2c/drivers/mpr121/2-005b/mpr121_data'\ntry:\n if not os.path.exists(self.Path):\n InstallDTBO('BB-I2C2-mpr121')\n while not os.path.exists(self.Path):\n ... | <|body_start_0|>
self.Path = '/proc/device-tree/aliases/mpr121'
self.Mpr121Init = '/sys/bus/i2c/drivers/mpr121/2-005b/mpr121_init'
self.Mpr121Data = '/sys/bus/i2c/drivers/mpr121/2-005b/mpr121_data'
try:
if not os.path.exists(self.Path):
InstallDTBO('BB-I2C2-mp... | MPR121 12 Key Capacitive I2C Touch Sensor | MPR121 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MPR121:
"""MPR121 12 Key Capacitive I2C Touch Sensor"""
def __init__(self):
"""Initialize the MPR121 using file python library"""
<|body_0|>
def parse_and_print_Input(self, Input):
"""Parse the raw data form MPR121 to List that describes which one is touched on 1... | stack_v2_sparse_classes_75kplus_train_002372 | 3,487 | permissive | [
{
"docstring": "Initialize the MPR121 using file python library",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Parse the raw data form MPR121 to List that describes which one is touched on 12 Key Capacitive I2C Touch Sensor. Input:raw data form MPR121 return:List that... | 3 | stack_v2_sparse_classes_30k_train_022170 | Implement the Python class `MPR121` described below.
Class description:
MPR121 12 Key Capacitive I2C Touch Sensor
Method signatures and docstrings:
- def __init__(self): Initialize the MPR121 using file python library
- def parse_and_print_Input(self, Input): Parse the raw data form MPR121 to List that describes whic... | Implement the Python class `MPR121` described below.
Class description:
MPR121 12 Key Capacitive I2C Touch Sensor
Method signatures and docstrings:
- def __init__(self): Initialize the MPR121 using file python library
- def parse_and_print_Input(self, Input): Parse the raw data form MPR121 to List that describes whic... | 48236dd6d24885b0d06287d47b1c31e4b55fd1bf | <|skeleton|>
class MPR121:
"""MPR121 12 Key Capacitive I2C Touch Sensor"""
def __init__(self):
"""Initialize the MPR121 using file python library"""
<|body_0|>
def parse_and_print_Input(self, Input):
"""Parse the raw data form MPR121 to List that describes which one is touched on 1... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MPR121:
"""MPR121 12 Key Capacitive I2C Touch Sensor"""
def __init__(self):
"""Initialize the MPR121 using file python library"""
self.Path = '/proc/device-tree/aliases/mpr121'
self.Mpr121Init = '/sys/bus/i2c/drivers/mpr121/2-005b/mpr121_init'
self.Mpr121Data = '/sys/bus/i... | the_stack_v2_python_sparse | PocketBeagle/Grove/Captouch.py | beagleboard/cloud9-examples | train | 51 |
5dda1119c91fae0e6debdb8b063b15bbb6b35331 | [
"self.k = k\nself.matrix = matrix\nself.standardMatrix = np.array(self.matrix.getMatrix())",
"sl = self.matrix.getDivideStatus()\nnewMatrix = Matrix(con, self.matrix.getdivk())\ncl = newMatrix.getDivideStatus()\ncompareX = []\ncompareY = []\nnsl = np.array(sl)\nncl = np.array(cl)\nncompare = np.abs(nsl - ncl)\nif... | <|body_start_0|>
self.k = k
self.matrix = matrix
self.standardMatrix = np.array(self.matrix.getMatrix())
<|end_body_0|>
<|body_start_1|>
sl = self.matrix.getDivideStatus()
newMatrix = Matrix(con, self.matrix.getdivk())
cl = newMatrix.getDivideStatus()
compareX = ... | groupTestController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class groupTestController:
def __init__(self, matrix, k):
"""Matrix 방법을 이용한 그룹화 진행 Args: matrix :: Matrix object 기준이 되는 메트릭스 k :: int 오차율을 조절"""
<|body_0|>
def conCheckGroup2(self, con):
"""현재의 메트릭스에 대하여 새로운 Contour에 대하여 같은 그룹인지 조사 Args: con :: RContour 조사하고자 하는 컨투어 Return... | stack_v2_sparse_classes_75kplus_train_002373 | 3,955 | no_license | [
{
"docstring": "Matrix 방법을 이용한 그룹화 진행 Args: matrix :: Matrix object 기준이 되는 메트릭스 k :: int 오차율을 조절",
"name": "__init__",
"signature": "def __init__(self, matrix, k)"
},
{
"docstring": "현재의 메트릭스에 대하여 새로운 Contour에 대하여 같은 그룹인지 조사 Args: con :: RContour 조사하고자 하는 컨투어 Returns: 포함 여부 :: Boolean 포함 - True,... | 4 | null | Implement the Python class `groupTestController` described below.
Class description:
Implement the groupTestController class.
Method signatures and docstrings:
- def __init__(self, matrix, k): Matrix 방법을 이용한 그룹화 진행 Args: matrix :: Matrix object 기준이 되는 메트릭스 k :: int 오차율을 조절
- def conCheckGroup2(self, con): 현재의 메트릭스에 대... | Implement the Python class `groupTestController` described below.
Class description:
Implement the groupTestController class.
Method signatures and docstrings:
- def __init__(self, matrix, k): Matrix 방법을 이용한 그룹화 진행 Args: matrix :: Matrix object 기준이 되는 메트릭스 k :: int 오차율을 조절
- def conCheckGroup2(self, con): 현재의 메트릭스에 대... | 4c33179c8a820c9b08d95071f88e57db26238c60 | <|skeleton|>
class groupTestController:
def __init__(self, matrix, k):
"""Matrix 방법을 이용한 그룹화 진행 Args: matrix :: Matrix object 기준이 되는 메트릭스 k :: int 오차율을 조절"""
<|body_0|>
def conCheckGroup2(self, con):
"""현재의 메트릭스에 대하여 새로운 Contour에 대하여 같은 그룹인지 조사 Args: con :: RContour 조사하고자 하는 컨투어 Return... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class groupTestController:
def __init__(self, matrix, k):
"""Matrix 방법을 이용한 그룹화 진행 Args: matrix :: Matrix object 기준이 되는 메트릭스 k :: int 오차율을 조절"""
self.k = k
self.matrix = matrix
self.standardMatrix = np.array(self.matrix.getMatrix())
def conCheckGroup2(self, con):
"""현재의 ... | the_stack_v2_python_sparse | groupingTool/tMatrix/groupTestController.py | louis-cho/StemFont-Plugin | train | 0 | |
3c30d4554b1013af19b7b35b68268411715019ec | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn EntitlementManagementSettings()",
"from .access_package_external_user_lifecycle_action import AccessPackageExternalUserLifecycleAction\nfrom .entity import Entity\nfrom .access_package_external_user_lifecycle_action import AccessPackag... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return EntitlementManagementSettings()
<|end_body_0|>
<|body_start_1|>
from .access_package_external_user_lifecycle_action import AccessPackageExternalUserLifecycleAction
from .entity import En... | EntitlementManagementSettings | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EntitlementManagementSettings:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EntitlementManagementSettings:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator val... | stack_v2_sparse_classes_75kplus_train_002374 | 3,282 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: EntitlementManagementSettings",
"name": "create_from_discriminator_value",
"signature": "def create_from_dis... | 3 | stack_v2_sparse_classes_30k_train_012533 | Implement the Python class `EntitlementManagementSettings` described below.
Class description:
Implement the EntitlementManagementSettings class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EntitlementManagementSettings: Creates a new instance of th... | Implement the Python class `EntitlementManagementSettings` described below.
Class description:
Implement the EntitlementManagementSettings class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EntitlementManagementSettings: Creates a new instance of th... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class EntitlementManagementSettings:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EntitlementManagementSettings:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator val... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EntitlementManagementSettings:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EntitlementManagementSettings:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create ... | the_stack_v2_python_sparse | msgraph/generated/models/entitlement_management_settings.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
707746385e561414d52c7e2c36c23d0979c010d8 | [
"self.column = column\nself.colour1 = colour1\nself.colour2 = colour2\nself.categorical = False",
"x = data[self.column].iget(index)\na = min(data[self.column])\nb = max(data[self.column])\nr1, g1, b1 = self.colour1\nr2, g2, b2 = self.colour2\nx_scaled = (x - a) / (b - a)\nreturn (r1 + (r2 - r1) * x_scaled, g1 + ... | <|body_start_0|>
self.column = column
self.colour1 = colour1
self.colour2 = colour2
self.categorical = False
<|end_body_0|>
<|body_start_1|>
x = data[self.column].iget(index)
a = min(data[self.column])
b = max(data[self.column])
r1, g1, b1 = self.colour1
... | A mapping between a data attribute value and a point in colour space between two specified colours. | ScaleGradient | [
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScaleGradient:
"""A mapping between a data attribute value and a point in colour space between two specified colours."""
def __init__(self, column, colour1, colour2):
"""Initialize ScaleGradient instance. Parameters: ----------- column: string, pandas DataFrame column name colour1: t... | stack_v2_sparse_classes_75kplus_train_002375 | 30,022 | permissive | [
{
"docstring": "Initialize ScaleGradient instance. Parameters: ----------- column: string, pandas DataFrame column name colour1: tuple 3 element tuple with float values representing an RGB colour colour2: tuple 3 element tuple with float values representing an RGB colour",
"name": "__init__",
"signature... | 2 | null | Implement the Python class `ScaleGradient` described below.
Class description:
A mapping between a data attribute value and a point in colour space between two specified colours.
Method signatures and docstrings:
- def __init__(self, column, colour1, colour2): Initialize ScaleGradient instance. Parameters: ----------... | Implement the Python class `ScaleGradient` described below.
Class description:
A mapping between a data attribute value and a point in colour space between two specified colours.
Method signatures and docstrings:
- def __init__(self, column, colour1, colour2): Initialize ScaleGradient instance. Parameters: ----------... | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | <|skeleton|>
class ScaleGradient:
"""A mapping between a data attribute value and a point in colour space between two specified colours."""
def __init__(self, column, colour1, colour2):
"""Initialize ScaleGradient instance. Parameters: ----------- column: string, pandas DataFrame column name colour1: t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScaleGradient:
"""A mapping between a data attribute value and a point in colour space between two specified colours."""
def __init__(self, column, colour1, colour2):
"""Initialize ScaleGradient instance. Parameters: ----------- column: string, pandas DataFrame column name colour1: tuple 3 elemen... | the_stack_v2_python_sparse | lib/python2.7/site-packages/pandas/tools/rplot.py | wangyum/Anaconda | train | 11 |
cd45939921a9137f3d1bd6b5ff6846ec36087f3c | [
"output_file_name = 'sshd_config_analysis.txt'\noutput_file_path = os.path.join(self.output_dir, output_file_name)\noutput_evidence = ReportText(source_path=output_file_path)\nwith open(evidence.local_path, 'r') as input_file:\n sshd_config = input_file.read()\nreport, priority, summary = self.analyse_sshd_confi... | <|body_start_0|>
output_file_name = 'sshd_config_analysis.txt'
output_file_path = os.path.join(self.output_dir, output_file_name)
output_evidence = ReportText(source_path=output_file_path)
with open(evidence.local_path, 'r') as input_file:
sshd_config = input_file.read()
... | Task to analyze a sshd_config file. | SSHDAnalysisTask | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SSHDAnalysisTask:
"""Task to analyze a sshd_config file."""
def run(self, evidence, result):
"""Run the sshd_config analysis worker. Args: evidence (Evidence object): The evidence we will process. result (TurbiniaTaskResult): The object to place task results into. Returns: TurbiniaTa... | stack_v2_sparse_classes_75kplus_train_002376 | 3,612 | permissive | [
{
"docstring": "Run the sshd_config analysis worker. Args: evidence (Evidence object): The evidence we will process. result (TurbiniaTaskResult): The object to place task results into. Returns: TurbiniaTaskResult object.",
"name": "run",
"signature": "def run(self, evidence, result)"
},
{
"docst... | 2 | stack_v2_sparse_classes_30k_train_034499 | Implement the Python class `SSHDAnalysisTask` described below.
Class description:
Task to analyze a sshd_config file.
Method signatures and docstrings:
- def run(self, evidence, result): Run the sshd_config analysis worker. Args: evidence (Evidence object): The evidence we will process. result (TurbiniaTaskResult): T... | Implement the Python class `SSHDAnalysisTask` described below.
Class description:
Task to analyze a sshd_config file.
Method signatures and docstrings:
- def run(self, evidence, result): Run the sshd_config analysis worker. Args: evidence (Evidence object): The evidence we will process. result (TurbiniaTaskResult): T... | e73717549c6919e869ce4963449c36f227e3ccd6 | <|skeleton|>
class SSHDAnalysisTask:
"""Task to analyze a sshd_config file."""
def run(self, evidence, result):
"""Run the sshd_config analysis worker. Args: evidence (Evidence object): The evidence we will process. result (TurbiniaTaskResult): The object to place task results into. Returns: TurbiniaTa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SSHDAnalysisTask:
"""Task to analyze a sshd_config file."""
def run(self, evidence, result):
"""Run the sshd_config analysis worker. Args: evidence (Evidence object): The evidence we will process. result (TurbiniaTaskResult): The object to place task results into. Returns: TurbiniaTaskResult obje... | the_stack_v2_python_sparse | turbinia/workers/sshd.py | Ash515/turbinia | train | 6 |
07e722aad14f035fc6c4408b2b49093b6fcc10f9 | [
"super().__init__(compute_on_call=compute_on_call, prefix=prefix, suffix=suffix, num_classes=num_classes)\nself.compute_per_class_metrics = compute_per_class_metrics\nself.zero_division = zero_division\nself.num_classes = num_classes\nself.reset()",
"kv_metrics = {}\nfor aggregation_name, aggregated_metrics in zi... | <|body_start_0|>
super().__init__(compute_on_call=compute_on_call, prefix=prefix, suffix=suffix, num_classes=num_classes)
self.compute_per_class_metrics = compute_per_class_metrics
self.zero_division = zero_division
self.num_classes = num_classes
self.reset()
<|end_body_0|>
<|bo... | Metric that can collect statistics and count precision, recall, f1_score and support with it. Args: zero_division: value to set in case of zero division during metrics (precision, recall) computation; should be one of 0 or 1 compute_on_call: if True, allows compute metric's value on call compute_per_class_metrics: bool... | MulticlassPrecisionRecallF1SupportMetric | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MulticlassPrecisionRecallF1SupportMetric:
"""Metric that can collect statistics and count precision, recall, f1_score and support with it. Args: zero_division: value to set in case of zero division during metrics (precision, recall) computation; should be one of 0 or 1 compute_on_call: if True, a... | stack_v2_sparse_classes_75kplus_train_002377 | 34,447 | permissive | [
{
"docstring": "Init PrecisionRecallF1SupportMetric instance",
"name": "__init__",
"signature": "def __init__(self, zero_division: int=0, compute_on_call: bool=True, compute_per_class_metrics: bool=SETTINGS.compute_per_class_metrics, prefix: str=None, suffix: str=None, num_classes: Optional[int]=None) -... | 6 | stack_v2_sparse_classes_30k_train_049773 | Implement the Python class `MulticlassPrecisionRecallF1SupportMetric` described below.
Class description:
Metric that can collect statistics and count precision, recall, f1_score and support with it. Args: zero_division: value to set in case of zero division during metrics (precision, recall) computation; should be on... | Implement the Python class `MulticlassPrecisionRecallF1SupportMetric` described below.
Class description:
Metric that can collect statistics and count precision, recall, f1_score and support with it. Args: zero_division: value to set in case of zero division during metrics (precision, recall) computation; should be on... | e99f90655d0efcf22559a46e928f0f98c9807ebf | <|skeleton|>
class MulticlassPrecisionRecallF1SupportMetric:
"""Metric that can collect statistics and count precision, recall, f1_score and support with it. Args: zero_division: value to set in case of zero division during metrics (precision, recall) computation; should be one of 0 or 1 compute_on_call: if True, a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MulticlassPrecisionRecallF1SupportMetric:
"""Metric that can collect statistics and count precision, recall, f1_score and support with it. Args: zero_division: value to set in case of zero division during metrics (precision, recall) computation; should be one of 0 or 1 compute_on_call: if True, allows compute... | the_stack_v2_python_sparse | catalyst/metrics/_classification.py | catalyst-team/catalyst | train | 3,038 |
e676da7c7facb9873ec2ee425eab071aa7704612 | [
"super().__init__()\nself.alpha = alpha\nself.opponent_is_random = False\nself.next_random_defection_turn = None",
"if not self.history:\n return C\nif len(self.history) < 56:\n if opponent.history[-1] == D or len(self.history) == 50:\n return D\n return C\np_value = chisquare([opponent.cooperatio... | <|body_start_0|>
super().__init__()
self.alpha = alpha
self.opponent_is_random = False
self.next_random_defection_turn = None
<|end_body_0|>
<|body_start_1|>
if not self.history:
return C
if len(self.history) < 56:
if opponent.history[-1] == D or ... | Submitted to Axelrod's first tournament by James Graaskamp. The description written in [Axelrod1980]_ is: > "This rule plays tit for tat for 50 moves, defects on move 51, and then > plays 5 more moves of tit for tat. A check is then made to see if the player > seems to be RANDOM, in which case it defects from then on. ... | FirstByGraaskamp | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FirstByGraaskamp:
"""Submitted to Axelrod's first tournament by James Graaskamp. The description written in [Axelrod1980]_ is: > "This rule plays tit for tat for 50 moves, defects on move 51, and then > plays 5 more moves of tit for tat. A check is then made to see if the player > seems to be RAN... | stack_v2_sparse_classes_75kplus_train_002378 | 38,204 | permissive | [
{
"docstring": "Parameters ---------- alpha: float The significant level of p-value from chi-squared test with alpha == 0.05 by default.",
"name": "__init__",
"signature": "def __init__(self, alpha: float=0.05) -> None"
},
{
"docstring": "This is the actual strategy",
"name": "strategy",
... | 2 | null | Implement the Python class `FirstByGraaskamp` described below.
Class description:
Submitted to Axelrod's first tournament by James Graaskamp. The description written in [Axelrod1980]_ is: > "This rule plays tit for tat for 50 moves, defects on move 51, and then > plays 5 more moves of tit for tat. A check is then made... | Implement the Python class `FirstByGraaskamp` described below.
Class description:
Submitted to Axelrod's first tournament by James Graaskamp. The description written in [Axelrod1980]_ is: > "This rule plays tit for tat for 50 moves, defects on move 51, and then > plays 5 more moves of tit for tat. A check is then made... | fa748627cd4f0333bb2dbfcb1454372a78a9098a | <|skeleton|>
class FirstByGraaskamp:
"""Submitted to Axelrod's first tournament by James Graaskamp. The description written in [Axelrod1980]_ is: > "This rule plays tit for tat for 50 moves, defects on move 51, and then > plays 5 more moves of tit for tat. A check is then made to see if the player > seems to be RAN... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FirstByGraaskamp:
"""Submitted to Axelrod's first tournament by James Graaskamp. The description written in [Axelrod1980]_ is: > "This rule plays tit for tat for 50 moves, defects on move 51, and then > plays 5 more moves of tit for tat. A check is then made to see if the player > seems to be RANDOM, in which... | the_stack_v2_python_sparse | axelrod/strategies/axelrod_first.py | Axelrod-Python/Axelrod | train | 673 |
952ee74ca7e71f12727d19039de8fb972798ee3a | [
"if value.replace(tzinfo=None) < datetime.utcnow():\n raise ValueError('must be greater than `now`')\nchallenge_end: Optional[datetime] = values.get('challenge_end')\nif not challenge_end:\n return value\nif value > challenge_end:\n return value\nraise ValueError('must be greater than `challenge_end`')",
... | <|body_start_0|>
if value.replace(tzinfo=None) < datetime.utcnow():
raise ValueError('must be greater than `now`')
challenge_end: Optional[datetime] = values.get('challenge_end')
if not challenge_end:
return value
if value > challenge_end:
return value... | ChallengeIn | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChallengeIn:
def vote_end_validator(cls, value: datetime, values: Dict[str, Any]) -> datetime:
"""Validate vote end date."""
<|body_0|>
def challenge_end_validator(cls, value: datetime) -> datetime:
"""Validate challenge end date."""
<|body_1|>
def name_... | stack_v2_sparse_classes_75kplus_train_002379 | 1,879 | permissive | [
{
"docstring": "Validate vote end date.",
"name": "vote_end_validator",
"signature": "def vote_end_validator(cls, value: datetime, values: Dict[str, Any]) -> datetime"
},
{
"docstring": "Validate challenge end date.",
"name": "challenge_end_validator",
"signature": "def challenge_end_val... | 3 | stack_v2_sparse_classes_30k_train_046497 | Implement the Python class `ChallengeIn` described below.
Class description:
Implement the ChallengeIn class.
Method signatures and docstrings:
- def vote_end_validator(cls, value: datetime, values: Dict[str, Any]) -> datetime: Validate vote end date.
- def challenge_end_validator(cls, value: datetime) -> datetime: V... | Implement the Python class `ChallengeIn` described below.
Class description:
Implement the ChallengeIn class.
Method signatures and docstrings:
- def vote_end_validator(cls, value: datetime, values: Dict[str, Any]) -> datetime: Validate vote end date.
- def challenge_end_validator(cls, value: datetime) -> datetime: V... | 82270d16835c970e42530133668e2a8ab047af31 | <|skeleton|>
class ChallengeIn:
def vote_end_validator(cls, value: datetime, values: Dict[str, Any]) -> datetime:
"""Validate vote end date."""
<|body_0|>
def challenge_end_validator(cls, value: datetime) -> datetime:
"""Validate challenge end date."""
<|body_1|>
def name_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChallengeIn:
def vote_end_validator(cls, value: datetime, values: Dict[str, Any]) -> datetime:
"""Validate vote end date."""
if value.replace(tzinfo=None) < datetime.utcnow():
raise ValueError('must be greater than `now`')
challenge_end: Optional[datetime] = values.get('cha... | the_stack_v2_python_sparse | app/models/api/challenge.py | beatMeDev/beatMeBackend | train | 0 | |
29a8ef5d16d36a084aa48b844086decb2d46544d | [
"print(validated_data)\nobj = Function.objects.create(**validated_data)\nreturn obj",
"print(validated_data)\ni = instance[0]\nif validated_data['default_page'] == True:\n i.default_page = validated_data['default_page']\n i.save()\n return i\nelse:\n i.default_page = validated_data['default_page']\n ... | <|body_start_0|>
print(validated_data)
obj = Function.objects.create(**validated_data)
return obj
<|end_body_0|>
<|body_start_1|>
print(validated_data)
i = instance[0]
if validated_data['default_page'] == True:
i.default_page = validated_data['default_page']
... | 首页功能 | DefaultSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefaultSerializer:
"""首页功能"""
def create(self, validated_data):
"""保存操作"""
<|body_0|>
def update(self, instance, validated_data):
"""更新操作"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
print(validated_data)
obj = Function.objects.create... | stack_v2_sparse_classes_75kplus_train_002380 | 3,862 | no_license | [
{
"docstring": "保存操作",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "更新操作",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | null | Implement the Python class `DefaultSerializer` described below.
Class description:
首页功能
Method signatures and docstrings:
- def create(self, validated_data): 保存操作
- def update(self, instance, validated_data): 更新操作 | Implement the Python class `DefaultSerializer` described below.
Class description:
首页功能
Method signatures and docstrings:
- def create(self, validated_data): 保存操作
- def update(self, instance, validated_data): 更新操作
<|skeleton|>
class DefaultSerializer:
"""首页功能"""
def create(self, validated_data):
"""... | 3c18d5d5727db1562438edea66ef15f54b378e33 | <|skeleton|>
class DefaultSerializer:
"""首页功能"""
def create(self, validated_data):
"""保存操作"""
<|body_0|>
def update(self, instance, validated_data):
"""更新操作"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DefaultSerializer:
"""首页功能"""
def create(self, validated_data):
"""保存操作"""
print(validated_data)
obj = Function.objects.create(**validated_data)
return obj
def update(self, instance, validated_data):
"""更新操作"""
print(validated_data)
i = instanc... | the_stack_v2_python_sparse | up_down_chain/up_down_chain/app/Enterprise/serializables.py | wang18722/Up_down_chain | train | 0 |
b8280732d0d27e1a21e673da020fd984020a8717 | [
"self.capacity = capacity\nself.cache = {}\nself.cache_queue = collections.deque()",
"if key not in self.cache:\n return -1\nself.cache_queue.remove(key)\nself.cache_queue.appendleft(key)\nreturn self.cache[key]",
"if key in self.cache:\n self.cache[key] = value\n self.cache_queue.remove(key)\n self... | <|body_start_0|>
self.capacity = capacity
self.cache = {}
self.cache_queue = collections.deque()
<|end_body_0|>
<|body_start_1|>
if key not in self.cache:
return -1
self.cache_queue.remove(key)
self.cache_queue.appendleft(key)
return self.cache[key]
<... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_002381 | 1,182 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: None",
"name": "pu... | 3 | null | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None
<|sk... | 5c2473f859da5efec73120256faad06ab8e0e359 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.cache = {}
self.cache_queue = collections.deque()
def get(self, key):
""":type key: int :rtype: int"""
if key not in self.cache:
return -1
se... | the_stack_v2_python_sparse | leetcode/lru_cache_deque.py | chlos/exercises_in_futility | train | 0 | |
0d8fc72faa7efe5cd73d236fe4e37f63d2f6370e | [
"request_data = request.GET\nsearch_value = request_data.get('search_value', '')\nper_page = int(request_data.get('per_page', 10))\npage = int(request_data.get('page', 1))\ntoken_result_object_list, msg = AccountBaseService().get_token_list(search_value, page, per_page)\nif token_result_object_list is not False:\n ... | <|body_start_0|>
request_data = request.GET
search_value = request_data.get('search_value', '')
per_page = int(request_data.get('per_page', 10))
page = int(request_data.get('page', 1))
token_result_object_list, msg = AccountBaseService().get_token_list(search_value, page, per_pag... | LoonAppTokenView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoonAppTokenView:
def get(self, request, *args, **kwargs):
"""调用权限列表 :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""新增调用权限记录 :param request: :param args: :param kwargs: :return:"""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus_train_002382 | 8,689 | permissive | [
{
"docstring": "调用权限列表 :param request: :param args: :param kwargs: :return:",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "新增调用权限记录 :param request: :param args: :param kwargs: :return:",
"name": "post",
"signature": "def post(self, request, *ar... | 2 | stack_v2_sparse_classes_30k_val_001629 | Implement the Python class `LoonAppTokenView` described below.
Class description:
Implement the LoonAppTokenView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 调用权限列表 :param request: :param args: :param kwargs: :return:
- def post(self, request, *args, **kwargs): 新增调用权限记录 :param r... | Implement the Python class `LoonAppTokenView` described below.
Class description:
Implement the LoonAppTokenView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 调用权限列表 :param request: :param args: :param kwargs: :return:
- def post(self, request, *args, **kwargs): 新增调用权限记录 :param r... | 14d29d6669a6538fe176792d001710616719d050 | <|skeleton|>
class LoonAppTokenView:
def get(self, request, *args, **kwargs):
"""调用权限列表 :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""新增调用权限记录 :param request: :param args: :param kwargs: :return:"""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoonAppTokenView:
def get(self, request, *args, **kwargs):
"""调用权限列表 :param request: :param args: :param kwargs: :return:"""
request_data = request.GET
search_value = request_data.get('search_value', '')
per_page = int(request_data.get('per_page', 10))
page = int(reques... | the_stack_v2_python_sparse | apps/account/views.py | Rgcsh/loonflow_custom | train | 2 | |
58866ee60673eaf9f16a9b87092f67b90f6198da | [
"Report.__init__(self, database, options, user)\nself._user = user\nmenu = options.menu\nself.title_string = menu.get_option_by_name('title').get_value()\nself.image_size = menu.get_option_by_name('imgsize').get_value()\nself.subtitle_string = menu.get_option_by_name('subtitle').get_value()\nself.footer_string = me... | <|body_start_0|>
Report.__init__(self, database, options, user)
self._user = user
menu = options.menu
self.title_string = menu.get_option_by_name('title').get_value()
self.image_size = menu.get_option_by_name('imgsize').get_value()
self.subtitle_string = menu.get_option_b... | This report class generates a title page for a book. | SimpleBookTitle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleBookTitle:
"""This report class generates a title page for a book."""
def __init__(self, database, options, user):
"""Create SimpleBookTitle object that produces the report. The arguments are: database - the GRAMPS database instance options - instance of the Options class for t... | stack_v2_sparse_classes_75kplus_train_002383 | 7,532 | no_license | [
{
"docstring": "Create SimpleBookTitle object that produces the report. The arguments are: database - the GRAMPS database instance options - instance of the Options class for this report user - a gen.user.User() instance This report needs the following parameters (class variables) that come in the options class... | 2 | stack_v2_sparse_classes_30k_train_049671 | Implement the Python class `SimpleBookTitle` described below.
Class description:
This report class generates a title page for a book.
Method signatures and docstrings:
- def __init__(self, database, options, user): Create SimpleBookTitle object that produces the report. The arguments are: database - the GRAMPS databa... | Implement the Python class `SimpleBookTitle` described below.
Class description:
This report class generates a title page for a book.
Method signatures and docstrings:
- def __init__(self, database, options, user): Create SimpleBookTitle object that produces the report. The arguments are: database - the GRAMPS databa... | 0c79561bed7ff42c88714edbc85197fa9235e188 | <|skeleton|>
class SimpleBookTitle:
"""This report class generates a title page for a book."""
def __init__(self, database, options, user):
"""Create SimpleBookTitle object that produces the report. The arguments are: database - the GRAMPS database instance options - instance of the Options class for t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimpleBookTitle:
"""This report class generates a title page for a book."""
def __init__(self, database, options, user):
"""Create SimpleBookTitle object that produces the report. The arguments are: database - the GRAMPS database instance options - instance of the Options class for this report us... | the_stack_v2_python_sparse | plugins/textreport/simplebooktitle.py | balrok/gramps_addon | train | 2 |
78ca57b0cd4b5e98763cc8cb9d1a436220c8082f | [
"if isinstance(infr_type, Infraction):\n return infr_type\nreturn Infraction[infr_type.replace(' ', '_').upper()]",
"if self.infraction_type == Infraction.NONE and (ctx.dm_content or ctx.dm_embed):\n dm_content = ctx.dm_content\n dm_embed = ctx.dm_embed\nelse:\n dm_content = self.dm_content\n dm_em... | <|body_start_0|>
if isinstance(infr_type, Infraction):
return infr_type
return Infraction[infr_type.replace(' ', '_').upper()]
<|end_body_0|>
<|body_start_1|>
if self.infraction_type == Infraction.NONE and (ctx.dm_content or ctx.dm_embed):
dm_content = ctx.dm_content
... | A setting entry which specifies what infraction to issue and the notification to DM the user. Since a DM cannot be sent when a user is banned or kicked, these two functions need to be grouped together. | InfractionAndNotification | [
"MIT",
"BSD-3-Clause",
"Python-2.0",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InfractionAndNotification:
"""A setting entry which specifies what infraction to issue and the notification to DM the user. Since a DM cannot be sent when a user is banned or kicked, these two functions need to be grouped together."""
def convert_infraction_name(cls, infr_type: str | Infract... | stack_v2_sparse_classes_75kplus_train_002384 | 10,642 | permissive | [
{
"docstring": "Convert the string to an Infraction by name.",
"name": "convert_infraction_name",
"signature": "def convert_infraction_name(cls, infr_type: str | Infraction) -> Infraction"
},
{
"docstring": "Send the notification to the user.",
"name": "send_message",
"signature": "async... | 4 | stack_v2_sparse_classes_30k_train_029346 | Implement the Python class `InfractionAndNotification` described below.
Class description:
A setting entry which specifies what infraction to issue and the notification to DM the user. Since a DM cannot be sent when a user is banned or kicked, these two functions need to be grouped together.
Method signatures and doc... | Implement the Python class `InfractionAndNotification` described below.
Class description:
A setting entry which specifies what infraction to issue and the notification to DM the user. Since a DM cannot be sent when a user is banned or kicked, these two functions need to be grouped together.
Method signatures and doc... | f2048684291cc6358565e96ef3562512fbeb2505 | <|skeleton|>
class InfractionAndNotification:
"""A setting entry which specifies what infraction to issue and the notification to DM the user. Since a DM cannot be sent when a user is banned or kicked, these two functions need to be grouped together."""
def convert_infraction_name(cls, infr_type: str | Infract... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InfractionAndNotification:
"""A setting entry which specifies what infraction to issue and the notification to DM the user. Since a DM cannot be sent when a user is banned or kicked, these two functions need to be grouped together."""
def convert_infraction_name(cls, infr_type: str | Infraction) -> Infra... | the_stack_v2_python_sparse | bot/exts/filtering/_settings_types/actions/infraction_and_notification.py | python-discord/bot | train | 1,479 |
dea0c1b489c3656fe8604479cde8034634debd39 | [
"self.experiments = experiments\nself.job_method = job_method\nnp.random.seed(os.getpid())",
"completed_experiments = []\nt0 = time()\nfor i, ex in enumerate(self.experiments):\n completed_experiments.append(self.job_method(ex))\n t1 = time()\n avg_runtime = (t1 - t0) / (i + 1)\n tot_runtime = avg_run... | <|body_start_0|>
self.experiments = experiments
self.job_method = job_method
np.random.seed(os.getpid())
<|end_body_0|>
<|body_start_1|>
completed_experiments = []
t0 = time()
for i, ex in enumerate(self.experiments):
completed_experiments.append(self.job_met... | ExperimentDispatcher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExperimentDispatcher:
def __init__(self, experiments, job_method):
"""Set up a batch of experiments, aka job :param experiments: List of experiment objects :param job_method: Method to call on the experiment objects. It is expected to return the experiment object itself."""
<|bod... | stack_v2_sparse_classes_75kplus_train_002385 | 9,967 | permissive | [
{
"docstring": "Set up a batch of experiments, aka job :param experiments: List of experiment objects :param job_method: Method to call on the experiment objects. It is expected to return the experiment object itself.",
"name": "__init__",
"signature": "def __init__(self, experiments, job_method)"
},
... | 3 | stack_v2_sparse_classes_30k_train_040806 | Implement the Python class `ExperimentDispatcher` described below.
Class description:
Implement the ExperimentDispatcher class.
Method signatures and docstrings:
- def __init__(self, experiments, job_method): Set up a batch of experiments, aka job :param experiments: List of experiment objects :param job_method: Meth... | Implement the Python class `ExperimentDispatcher` described below.
Class description:
Implement the ExperimentDispatcher class.
Method signatures and docstrings:
- def __init__(self, experiments, job_method): Set up a batch of experiments, aka job :param experiments: List of experiment objects :param job_method: Meth... | 7c0625846678f3c9e678b85ef77c9922ad91b257 | <|skeleton|>
class ExperimentDispatcher:
def __init__(self, experiments, job_method):
"""Set up a batch of experiments, aka job :param experiments: List of experiment objects :param job_method: Method to call on the experiment objects. It is expected to return the experiment object itself."""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExperimentDispatcher:
def __init__(self, experiments, job_method):
"""Set up a batch of experiments, aka job :param experiments: List of experiment objects :param job_method: Method to call on the experiment objects. It is expected to return the experiment object itself."""
self.experiments = ... | the_stack_v2_python_sparse | RunExperiments.py | yiboliu31/non-overlapping-extrinsic-cameracalibration | train | 0 | |
9f344c3bcd548ec71334236123307fc83592908a | [
"self.setpoint_time_scale = setpoint_time_scale\nself.price_time_scale = price_time_scale\nself.price_data = None\nself.setpoint_data = None\nif price_data_path is not None:\n self.price_data = pd.read_csv(price_data_path).values\n print('START TIME: ', self.price_data[0][0].replace('.', ':'))\nif setpoint_da... | <|body_start_0|>
self.setpoint_time_scale = setpoint_time_scale
self.price_time_scale = price_time_scale
self.price_data = None
self.setpoint_data = None
if price_data_path is not None:
self.price_data = pd.read_csv(price_data_path).values
print('START TIM... | Market data (price and setpoints) loader. | MarketDataLoader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MarketDataLoader:
"""Market data (price and setpoints) loader."""
def __init__(self, price_data_path=None, setpoint_data_path=None, config=None, setpoint_time_scale=1, price_time_scale=60):
"""Market data loader builder. Args: price_data_path(str): setpoint_data_path(str):"""
... | stack_v2_sparse_classes_75kplus_train_002386 | 9,167 | no_license | [
{
"docstring": "Market data loader builder. Args: price_data_path(str): setpoint_data_path(str):",
"name": "__init__",
"signature": "def __init__(self, price_data_path=None, setpoint_data_path=None, config=None, setpoint_time_scale=1, price_time_scale=60)"
},
{
"docstring": "Get setpoint data of... | 3 | null | Implement the Python class `MarketDataLoader` described below.
Class description:
Market data (price and setpoints) loader.
Method signatures and docstrings:
- def __init__(self, price_data_path=None, setpoint_data_path=None, config=None, setpoint_time_scale=1, price_time_scale=60): Market data loader builder. Args: ... | Implement the Python class `MarketDataLoader` described below.
Class description:
Market data (price and setpoints) loader.
Method signatures and docstrings:
- def __init__(self, price_data_path=None, setpoint_data_path=None, config=None, setpoint_time_scale=1, price_time_scale=60): Market data loader builder. Args: ... | 6eebe17ef55d3e35acb4ae761ef4d2340f8212e6 | <|skeleton|>
class MarketDataLoader:
"""Market data (price and setpoints) loader."""
def __init__(self, price_data_path=None, setpoint_data_path=None, config=None, setpoint_time_scale=1, price_time_scale=60):
"""Market data loader builder. Args: price_data_path(str): setpoint_data_path(str):"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MarketDataLoader:
"""Market data (price and setpoints) loader."""
def __init__(self, price_data_path=None, setpoint_data_path=None, config=None, setpoint_time_scale=1, price_time_scale=60):
"""Market data loader builder. Args: price_data_path(str): setpoint_data_path(str):"""
self.setpoin... | the_stack_v2_python_sparse | algo/market.py | verahsu860604/aesda | train | 1 |
a1648c1a2bb9f3e5b92a87bc73a7821785155aea | [
"encryption_validator = EncryptionValidationHandler()\nencryption_processor = EncryptionProccessorHandler()\nencryption_resulter = EncryptionResultHandler()\nencryption_validator.set_handler(encryption_processor)\nencryption_processor.set_handler(encryption_resulter)\ndecryption_validator = DecryptionValidationHand... | <|body_start_0|>
encryption_validator = EncryptionValidationHandler()
encryption_processor = EncryptionProccessorHandler()
encryption_resulter = EncryptionResultHandler()
encryption_validator.set_handler(encryption_processor)
encryption_processor.set_handler(encryption_resulter)
... | Crypto | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Crypto:
def __init__(self):
"""Sets up the chain of responsibility."""
<|body_0|>
def execute_request(self, request: Request):
"""Execute the corrrect chain of responsibility handler depending on Encryption or Decryption Mode. :param request: the Request to pass to h... | stack_v2_sparse_classes_75kplus_train_002387 | 11,978 | no_license | [
{
"docstring": "Sets up the chain of responsibility.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Execute the corrrect chain of responsibility handler depending on Encryption or Decryption Mode. :param request: the Request to pass to handlers. :return:",
"name":... | 2 | stack_v2_sparse_classes_30k_train_023398 | Implement the Python class `Crypto` described below.
Class description:
Implement the Crypto class.
Method signatures and docstrings:
- def __init__(self): Sets up the chain of responsibility.
- def execute_request(self, request: Request): Execute the corrrect chain of responsibility handler depending on Encryption o... | Implement the Python class `Crypto` described below.
Class description:
Implement the Crypto class.
Method signatures and docstrings:
- def __init__(self): Sets up the chain of responsibility.
- def execute_request(self, request: Request): Execute the corrrect chain of responsibility handler depending on Encryption o... | 00fb890bb9d39859af2211db1f2bd783fcb04d2d | <|skeleton|>
class Crypto:
def __init__(self):
"""Sets up the chain of responsibility."""
<|body_0|>
def execute_request(self, request: Request):
"""Execute the corrrect chain of responsibility handler depending on Encryption or Decryption Mode. :param request: the Request to pass to h... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Crypto:
def __init__(self):
"""Sets up the chain of responsibility."""
encryption_validator = EncryptionValidationHandler()
encryption_processor = EncryptionProccessorHandler()
encryption_resulter = EncryptionResultHandler()
encryption_validator.set_handler(encryption_p... | the_stack_v2_python_sparse | Labs/Lab9/crypto.py | ZenenHornstein/3522_A01185704 | train | 0 | |
bccb9f94cd6ab24551ad1aa5b0aebb88c3673991 | [
"self.setMassFrac('NI', 0.325)\nself.setMassFrac('CR', 0.21)\nself.setMassFrac('C', 0.00075)\nself.setMassFrac('MN', 0.015)\nself.setMassFrac('S', 0.00015)\nself.setMassFrac('SI', 0.01)\nself.setMassFrac('CU', 0.0075)\nself.setMassFrac('AL', 0.00375)\nself.setMassFrac('TI', 0.00375)\nself.setMassFrac('FE', 1.0 - su... | <|body_start_0|>
self.setMassFrac('NI', 0.325)
self.setMassFrac('CR', 0.21)
self.setMassFrac('C', 0.00075)
self.setMassFrac('MN', 0.015)
self.setMassFrac('S', 0.00015)
self.setMassFrac('SI', 0.01)
self.setMassFrac('CU', 0.0075)
self.setMassFrac('AL', 0.003... | Incoloy 800/800H (UNS N08800/N08810). .. [SM] Special Metals - Incoloy alloy 800 (https://www.specialmetals.com/assets/smc/documents/alloys/incoloy/incoloy-alloy-800.pdf) | Inconel800 | [
"Apache-2.0",
"GPL-1.0-or-later",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Inconel800:
"""Incoloy 800/800H (UNS N08800/N08810). .. [SM] Special Metals - Incoloy alloy 800 (https://www.specialmetals.com/assets/smc/documents/alloys/incoloy/incoloy-alloy-800.pdf)"""
def setDefaultMassFracs(self):
"""Incoloy 800H mass fractions. From [SM]_."""
<|body_0|... | stack_v2_sparse_classes_75kplus_train_002388 | 2,857 | permissive | [
{
"docstring": "Incoloy 800H mass fractions. From [SM]_.",
"name": "setDefaultMassFracs",
"signature": "def setDefaultMassFracs(self)"
},
{
"docstring": "average thermal expansion dL/L. Used for computing hot dimensions. Parameters ---------- Tk : float temperature in (K) Tc : float Temperature ... | 3 | stack_v2_sparse_classes_30k_train_015037 | Implement the Python class `Inconel800` described below.
Class description:
Incoloy 800/800H (UNS N08800/N08810). .. [SM] Special Metals - Incoloy alloy 800 (https://www.specialmetals.com/assets/smc/documents/alloys/incoloy/incoloy-alloy-800.pdf)
Method signatures and docstrings:
- def setDefaultMassFracs(self): Inco... | Implement the Python class `Inconel800` described below.
Class description:
Incoloy 800/800H (UNS N08800/N08810). .. [SM] Special Metals - Incoloy alloy 800 (https://www.specialmetals.com/assets/smc/documents/alloys/incoloy/incoloy-alloy-800.pdf)
Method signatures and docstrings:
- def setDefaultMassFracs(self): Inco... | 360791847227df3f3a337a996ef561e00f846a09 | <|skeleton|>
class Inconel800:
"""Incoloy 800/800H (UNS N08800/N08810). .. [SM] Special Metals - Incoloy alloy 800 (https://www.specialmetals.com/assets/smc/documents/alloys/incoloy/incoloy-alloy-800.pdf)"""
def setDefaultMassFracs(self):
"""Incoloy 800H mass fractions. From [SM]_."""
<|body_0|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Inconel800:
"""Incoloy 800/800H (UNS N08800/N08810). .. [SM] Special Metals - Incoloy alloy 800 (https://www.specialmetals.com/assets/smc/documents/alloys/incoloy/incoloy-alloy-800.pdf)"""
def setDefaultMassFracs(self):
"""Incoloy 800H mass fractions. From [SM]_."""
self.setMassFrac('NI',... | the_stack_v2_python_sparse | armi/materials/inconel800.py | terrapower/armi | train | 204 |
77541a206df1eade4bd31f98a04bacaf070e4b71 | [
"super().__init__(coordinator, serial)\nself._attr_unique_id = f'{serial}_{description.key}'\nself.entity_description = description\nself._attr_is_on = False\nself._delay_listener: Callable | None = None",
"if not (last_state := (await self.async_get_last_state())):\n return\nself._attr_is_on = last_state.stat... | <|body_start_0|>
super().__init__(coordinator, serial)
self._attr_unique_id = f'{serial}_{description.key}'
self.entity_description = description
self._attr_is_on = False
self._delay_listener: Callable | None = None
<|end_body_0|>
<|body_start_1|>
if not (last_state := (... | Representation of a EZVIZ Siren entity. | EzvizSirenEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EzvizSirenEntity:
"""Representation of a EZVIZ Siren entity."""
def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None:
"""Initialize the Siren."""
<|body_0|>
async def async_added_to_hass(self) -> None:
... | stack_v2_sparse_classes_75kplus_train_002389 | 4,462 | permissive | [
{
"docstring": "Initialize the Siren.",
"name": "__init__",
"signature": "def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None"
},
{
"docstring": "Run when entity about to be added to hass.",
"name": "async_added_to_hass",
... | 5 | stack_v2_sparse_classes_30k_train_015724 | Implement the Python class `EzvizSirenEntity` described below.
Class description:
Representation of a EZVIZ Siren entity.
Method signatures and docstrings:
- def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None: Initialize the Siren.
- async def async_a... | Implement the Python class `EzvizSirenEntity` described below.
Class description:
Representation of a EZVIZ Siren entity.
Method signatures and docstrings:
- def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None: Initialize the Siren.
- async def async_a... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class EzvizSirenEntity:
"""Representation of a EZVIZ Siren entity."""
def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None:
"""Initialize the Siren."""
<|body_0|>
async def async_added_to_hass(self) -> None:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EzvizSirenEntity:
"""Representation of a EZVIZ Siren entity."""
def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None:
"""Initialize the Siren."""
super().__init__(coordinator, serial)
self._attr_unique_id = f'{serial... | the_stack_v2_python_sparse | homeassistant/components/ezviz/siren.py | home-assistant/core | train | 35,501 |
94bca1698cb0999e911343a71874afa9ae7d63ae | [
"if graph.is_directed():\n raise ValueError('the graph is directed')\nself.graph = graph\nself.mate = dict(((node, None) for node in self.graph.iternodes()))\nself.cardinality = 0",
"for edge in self.graph.iteredges():\n if self.mate[edge.source] is None and self.mate[edge.target] is None:\n self.mat... | <|body_start_0|>
if graph.is_directed():
raise ValueError('the graph is directed')
self.graph = graph
self.mate = dict(((node, None) for node in self.graph.iternodes()))
self.cardinality = 0
<|end_body_0|>
<|body_start_1|>
for edge in self.graph.iteredges():
... | Find a maximal cardinality matching using a greedy method. Attributes ---------- graph : input undirected graph mate : dict with nodes (values are nodes or None) cardinality : number Notes ----- Based on ideas from NetworkX library: http://networkx.github.io/documentation/networkx-1.9.1/ _modules/networkx/algorithms/ma... | MaximalMatching | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaximalMatching:
"""Find a maximal cardinality matching using a greedy method. Attributes ---------- graph : input undirected graph mate : dict with nodes (values are nodes or None) cardinality : number Notes ----- Based on ideas from NetworkX library: http://networkx.github.io/documentation/netw... | stack_v2_sparse_classes_75kplus_train_002390 | 3,502 | permissive | [
{
"docstring": "The algorithm initialization.",
"name": "__init__",
"signature": "def __init__(self, graph)"
},
{
"docstring": "Executable pseudocode.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018696 | Implement the Python class `MaximalMatching` described below.
Class description:
Find a maximal cardinality matching using a greedy method. Attributes ---------- graph : input undirected graph mate : dict with nodes (values are nodes or None) cardinality : number Notes ----- Based on ideas from NetworkX library: http:... | Implement the Python class `MaximalMatching` described below.
Class description:
Find a maximal cardinality matching using a greedy method. Attributes ---------- graph : input undirected graph mate : dict with nodes (values are nodes or None) cardinality : number Notes ----- Based on ideas from NetworkX library: http:... | 0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60 | <|skeleton|>
class MaximalMatching:
"""Find a maximal cardinality matching using a greedy method. Attributes ---------- graph : input undirected graph mate : dict with nodes (values are nodes or None) cardinality : number Notes ----- Based on ideas from NetworkX library: http://networkx.github.io/documentation/netw... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MaximalMatching:
"""Find a maximal cardinality matching using a greedy method. Attributes ---------- graph : input undirected graph mate : dict with nodes (values are nodes or None) cardinality : number Notes ----- Based on ideas from NetworkX library: http://networkx.github.io/documentation/networkx-1.9.1/ _... | the_stack_v2_python_sparse | graphtheory/algorithms/matching.py | kgashok/graphs-dict | train | 0 |
0f3e18a6db60a54ee705e25d88090299b13cadc2 | [
"tok = line.strip().split()\nassert len(tok) == 10\nassert tok[0] == 'sugar:'\nself.uid = uid\nself.qid = tok[1]\nself.qstart = int(tok[2])\nself.qend = int(tok[3])\nself.qstrand = tok[4]\nself.sid = tok[5]\nself.sstart = int(tok[6])\nself.send = int(tok[7])\nself.sstrand = tok[8]\nself.score = int(tok[9])\nself.li... | <|body_start_0|>
tok = line.strip().split()
assert len(tok) == 10
assert tok[0] == 'sugar:'
self.uid = uid
self.qid = tok[1]
self.qstart = int(tok[2])
self.qend = int(tok[3])
self.qstrand = tok[4]
self.sid = tok[5]
self.sstart = int(tok[6])... | exoneratehit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class exoneratehit:
def __init__(self, line, uid):
"""parse SUGAR hit from a line"""
<|body_0|>
def append(self, line, uid):
"""append a gff line to the result"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
tok = line.strip().split()
assert len(t... | stack_v2_sparse_classes_75kplus_train_002391 | 11,936 | no_license | [
{
"docstring": "parse SUGAR hit from a line",
"name": "__init__",
"signature": "def __init__(self, line, uid)"
},
{
"docstring": "append a gff line to the result",
"name": "append",
"signature": "def append(self, line, uid)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008422 | Implement the Python class `exoneratehit` described below.
Class description:
Implement the exoneratehit class.
Method signatures and docstrings:
- def __init__(self, line, uid): parse SUGAR hit from a line
- def append(self, line, uid): append a gff line to the result | Implement the Python class `exoneratehit` described below.
Class description:
Implement the exoneratehit class.
Method signatures and docstrings:
- def __init__(self, line, uid): parse SUGAR hit from a line
- def append(self, line, uid): append a gff line to the result
<|skeleton|>
class exoneratehit:
def __ini... | e006354ce41e6db029fb8cda02efaae60afc5327 | <|skeleton|>
class exoneratehit:
def __init__(self, line, uid):
"""parse SUGAR hit from a line"""
<|body_0|>
def append(self, line, uid):
"""append a gff line to the result"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class exoneratehit:
def __init__(self, line, uid):
"""parse SUGAR hit from a line"""
tok = line.strip().split()
assert len(tok) == 10
assert tok[0] == 'sugar:'
self.uid = uid
self.qid = tok[1]
self.qstart = int(tok[2])
self.qend = int(tok[3])
s... | the_stack_v2_python_sparse | seq.py | robertvi/rjvbio | train | 0 | |
51653c73abb927b5bfcc8e093555351e79cb2e85 | [
"super(TypeVerifier, self).__init__(**kwargs)\nif none_ok:\n self._valid_types = (type(None),) + valid_types\nelse:\n self._valid_types = valid_types",
"if not isinstance(value, self._valid_types):\n raise errors.Config.InvalidValue('Invalid {0} value: \"{1}\" (of type \"{2}\"). Value must be one of the ... | <|body_start_0|>
super(TypeVerifier, self).__init__(**kwargs)
if none_ok:
self._valid_types = (type(None),) + valid_types
else:
self._valid_types = valid_types
<|end_body_0|>
<|body_start_1|>
if not isinstance(value, self._valid_types):
raise errors.C... | Verifies that a config option value's type belongs to an allowed set. Passes value through unmodified. | TypeVerifier | [
"Classpath-exception-2.0",
"BSD-3-Clause",
"AGPL-3.0-only",
"MIT",
"GPL-2.0-only",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TypeVerifier:
"""Verifies that a config option value's type belongs to an allowed set. Passes value through unmodified."""
def __init__(self, valid_types, none_ok=False, **kwargs):
"""Initializes a TypeVerifier. Args: valid_types: tuple of allowed types. none_ok: boolean. If True, No... | stack_v2_sparse_classes_75kplus_train_002392 | 13,456 | permissive | [
{
"docstring": "Initializes a TypeVerifier. Args: valid_types: tuple of allowed types. none_ok: boolean. If True, None is also an allowed option value. **kwargs: Keyword arguments to pass to the base class.",
"name": "__init__",
"signature": "def __init__(self, valid_types, none_ok=False, **kwargs)"
}... | 2 | stack_v2_sparse_classes_30k_train_013095 | Implement the Python class `TypeVerifier` described below.
Class description:
Verifies that a config option value's type belongs to an allowed set. Passes value through unmodified.
Method signatures and docstrings:
- def __init__(self, valid_types, none_ok=False, **kwargs): Initializes a TypeVerifier. Args: valid_typ... | Implement the Python class `TypeVerifier` described below.
Class description:
Verifies that a config option value's type belongs to an allowed set. Passes value through unmodified.
Method signatures and docstrings:
- def __init__(self, valid_types, none_ok=False, **kwargs): Initializes a TypeVerifier. Args: valid_typ... | d0699f32998898757b036704fba39e5471641f01 | <|skeleton|>
class TypeVerifier:
"""Verifies that a config option value's type belongs to an allowed set. Passes value through unmodified."""
def __init__(self, valid_types, none_ok=False, **kwargs):
"""Initializes a TypeVerifier. Args: valid_types: tuple of allowed types. none_ok: boolean. If True, No... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TypeVerifier:
"""Verifies that a config option value's type belongs to an allowed set. Passes value through unmodified."""
def __init__(self, valid_types, none_ok=False, **kwargs):
"""Initializes a TypeVerifier. Args: valid_types: tuple of allowed types. none_ok: boolean. If True, None is also an... | the_stack_v2_python_sparse | perfkitbenchmarker/configs/option_decoders.py | GoogleCloudPlatform/PerfKitBenchmarker | train | 1,923 |
0f761daf0f2f8a5e82eda6ed3436e3996294a8b0 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | 定义域名类服务 | DomainServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DomainServicer:
"""定义域名类服务"""
def Resolv(self, request, context):
"""定义域名解析方法, 资产需要解析IP存表"""
<|body_0|>
def Analysis(self, request, context):
"""定义域名查询、子域爆破方法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
context.set_code(grpc.StatusCode.UNIMP... | stack_v2_sparse_classes_75kplus_train_002393 | 15,079 | no_license | [
{
"docstring": "定义域名解析方法, 资产需要解析IP存表",
"name": "Resolv",
"signature": "def Resolv(self, request, context)"
},
{
"docstring": "定义域名查询、子域爆破方法",
"name": "Analysis",
"signature": "def Analysis(self, request, context)"
}
] | 2 | stack_v2_sparse_classes_30k_val_001047 | Implement the Python class `DomainServicer` described below.
Class description:
定义域名类服务
Method signatures and docstrings:
- def Resolv(self, request, context): 定义域名解析方法, 资产需要解析IP存表
- def Analysis(self, request, context): 定义域名查询、子域爆破方法 | Implement the Python class `DomainServicer` described below.
Class description:
定义域名类服务
Method signatures and docstrings:
- def Resolv(self, request, context): 定义域名解析方法, 资产需要解析IP存表
- def Analysis(self, request, context): 定义域名查询、子域爆破方法
<|skeleton|>
class DomainServicer:
"""定义域名类服务"""
def Resolv(self, request... | c2389b6d9c47d9a1a2e63c8e0dc3fc132943b444 | <|skeleton|>
class DomainServicer:
"""定义域名类服务"""
def Resolv(self, request, context):
"""定义域名解析方法, 资产需要解析IP存表"""
<|body_0|>
def Analysis(self, request, context):
"""定义域名查询、子域爆破方法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DomainServicer:
"""定义域名类服务"""
def Resolv(self, request, context):
"""定义域名解析方法, 资产需要解析IP存表"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Analysis(self, request,... | the_stack_v2_python_sparse | micro/proto/grpc/aquaman_pb2_grpc.py | jstang9527/buoy | train | 2 |
68f426523efe3faa1262c0459a2b05294d258f7c | [
"kwargs = {}\ncurrent_key = None\nargs = deque(argv)\nwhile args:\n arg = args.popleft()\n if arg == '--':\n ArgumentHelper.set_kwargs_flag(kwargs, current_key)\n elif arg.startswith('--'):\n ArgumentHelper.set_kwargs_flag(kwargs, current_key)\n current_key = arg[2:]\n if '=' in... | <|body_start_0|>
kwargs = {}
current_key = None
args = deque(argv)
while args:
arg = args.popleft()
if arg == '--':
ArgumentHelper.set_kwargs_flag(kwargs, current_key)
elif arg.startswith('--'):
ArgumentHelper.set_kwargs... | Helper for handling command line arguments. | ArgumentHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArgumentHelper:
"""Helper for handling command line arguments."""
def argv_to_dict(argv):
"""Given a list of keyword arguments, parse into a kwargs dictionary. Each argument should either start with '--' indicating a key, or not, indicating a value. Also supports "--key=value" syntax... | stack_v2_sparse_classes_75kplus_train_002394 | 2,740 | no_license | [
{
"docstring": "Given a list of keyword arguments, parse into a kwargs dictionary. Each argument should either start with '--' indicating a key, or not, indicating a value. Also supports \"--key=value\" syntax. True will be used for the value of a key that does not have a given value. Multiple values will be jo... | 3 | stack_v2_sparse_classes_30k_train_002286 | Implement the Python class `ArgumentHelper` described below.
Class description:
Helper for handling command line arguments.
Method signatures and docstrings:
- def argv_to_dict(argv): Given a list of keyword arguments, parse into a kwargs dictionary. Each argument should either start with '--' indicating a key, or no... | Implement the Python class `ArgumentHelper` described below.
Class description:
Helper for handling command line arguments.
Method signatures and docstrings:
- def argv_to_dict(argv): Given a list of keyword arguments, parse into a kwargs dictionary. Each argument should either start with '--' indicating a key, or no... | 48a539bee8a58a007b20e6c034eb2145ec4e2a88 | <|skeleton|>
class ArgumentHelper:
"""Helper for handling command line arguments."""
def argv_to_dict(argv):
"""Given a list of keyword arguments, parse into a kwargs dictionary. Each argument should either start with '--' indicating a key, or not, indicating a value. Also supports "--key=value" syntax... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArgumentHelper:
"""Helper for handling command line arguments."""
def argv_to_dict(argv):
"""Given a list of keyword arguments, parse into a kwargs dictionary. Each argument should either start with '--' indicating a key, or not, indicating a value. Also supports "--key=value" syntax. True will b... | the_stack_v2_python_sparse | herring/argument_helper.py | royw/Herring | train | 0 |
c0709c5c31e7f9d512437e0ac0fe066f69e96560 | [
"self.filters = filters\nself.kernel_size = kernel_size\nself.strides = [1] + list(strides) + [1]\nself.padding = padding\nself.use_bias = use_bias\nself.prior_std0 = prior_std\nself.learn_prior = learn_prior",
"n_samples, (height, width, channels) = self._get_X_dims(X)\nW_shp, b_shp = self._weight_shapes(channel... | <|body_start_0|>
self.filters = filters
self.kernel_size = kernel_size
self.strides = [1] + list(strides) + [1]
self.padding = padding
self.use_bias = use_bias
self.prior_std0 = prior_std
self.learn_prior = learn_prior
<|end_body_0|>
<|body_start_1|>
n_sa... | A 2D convolution layer, with variational inference. (Does not currently support full covariance weights.) Parameters ---------- filters : int the dimension of the output of this layer (i.e. the number of filters in the convolution). kernel_size : int, tuple or list width and height of the 2D convolution window. Can be ... | Conv2DVariational | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2DVariational:
"""A 2D convolution layer, with variational inference. (Does not currently support full covariance weights.) Parameters ---------- filters : int the dimension of the output of this layer (i.e. the number of filters in the convolution). kernel_size : int, tuple or list width and... | stack_v2_sparse_classes_75kplus_train_002395 | 43,510 | permissive | [
{
"docstring": "Create and instance of a variational Conv2D layer.",
"name": "__init__",
"signature": "def __init__(self, filters, kernel_size, strides=(1, 1), padding='SAME', prior_std='glorot', learn_prior=False, use_bias=True)"
},
{
"docstring": "Build the graph of this layer.",
"name": "... | 3 | null | Implement the Python class `Conv2DVariational` described below.
Class description:
A 2D convolution layer, with variational inference. (Does not currently support full covariance weights.) Parameters ---------- filters : int the dimension of the output of this layer (i.e. the number of filters in the convolution). ker... | Implement the Python class `Conv2DVariational` described below.
Class description:
A 2D convolution layer, with variational inference. (Does not currently support full covariance weights.) Parameters ---------- filters : int the dimension of the output of this layer (i.e. the number of filters in the convolution). ker... | 53a3de23dce4d607ffec92be936e83d2dd7ebb3c | <|skeleton|>
class Conv2DVariational:
"""A 2D convolution layer, with variational inference. (Does not currently support full covariance weights.) Parameters ---------- filters : int the dimension of the output of this layer (i.e. the number of filters in the convolution). kernel_size : int, tuple or list width and... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Conv2DVariational:
"""A 2D convolution layer, with variational inference. (Does not currently support full covariance weights.) Parameters ---------- filters : int the dimension of the output of this layer (i.e. the number of filters in the convolution). kernel_size : int, tuple or list width and height of th... | the_stack_v2_python_sparse | aboleth/layers.py | LaplaceKorea/aboleth | train | 0 |
85f5dcb94f83efee37f22eb98b701da3916b82d5 | [
"data = {'lang': lang, 'sents': sents, 'engine': cf.engine(lang)}\ndoc_jsonify, resp = parse_sents(data)\ndomains = get_subj_domain(doc_jsonify)\nps = PredictSamples()\ntc.emp('cyan', f'result: {ps.check_domains(domains, lang)}')",
"data = {'lang': lang, 'sents': sents, 'engine': cf.engine(lang)}\ndoc_jsonify, re... | <|body_start_0|>
data = {'lang': lang, 'sents': sents, 'engine': cf.engine(lang)}
doc_jsonify, resp = parse_sents(data)
domains = get_subj_domain(doc_jsonify)
ps = PredictSamples()
tc.emp('cyan', f'result: {ps.check_domains(domains, lang)}')
<|end_body_0|>
<|body_start_1|>
... | PredictsCli | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PredictsCli:
def check_subj(self, sents, lang):
"""$ python -m sagas.nlu.predicts_cli check_subj 'Яблоко - это здоровый фрукт.' ru :param sents: :param lang: :return:"""
<|body_0|>
def check_aux(self, sents, lang):
"""$ python -m sagas.nlu.predicts_cli check_aux 'wha... | stack_v2_sparse_classes_75kplus_train_002396 | 1,950 | permissive | [
{
"docstring": "$ python -m sagas.nlu.predicts_cli check_subj 'Яблоко - это здоровый фрукт.' ru :param sents: :param lang: :return:",
"name": "check_subj",
"signature": "def check_subj(self, sents, lang)"
},
{
"docstring": "$ python -m sagas.nlu.predicts_cli check_aux 'what will be the weather i... | 2 | null | Implement the Python class `PredictsCli` described below.
Class description:
Implement the PredictsCli class.
Method signatures and docstrings:
- def check_subj(self, sents, lang): $ python -m sagas.nlu.predicts_cli check_subj 'Яблоко - это здоровый фрукт.' ru :param sents: :param lang: :return:
- def check_aux(self,... | Implement the Python class `PredictsCli` described below.
Class description:
Implement the PredictsCli class.
Method signatures and docstrings:
- def check_subj(self, sents, lang): $ python -m sagas.nlu.predicts_cli check_subj 'Яблоко - это здоровый фрукт.' ru :param sents: :param lang: :return:
- def check_aux(self,... | 9958d18ee5e75cf9794f546c904097dc1ff4f3a0 | <|skeleton|>
class PredictsCli:
def check_subj(self, sents, lang):
"""$ python -m sagas.nlu.predicts_cli check_subj 'Яблоко - это здоровый фрукт.' ru :param sents: :param lang: :return:"""
<|body_0|>
def check_aux(self, sents, lang):
"""$ python -m sagas.nlu.predicts_cli check_aux 'wha... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PredictsCli:
def check_subj(self, sents, lang):
"""$ python -m sagas.nlu.predicts_cli check_subj 'Яблоко - это здоровый фрукт.' ru :param sents: :param lang: :return:"""
data = {'lang': lang, 'sents': sents, 'engine': cf.engine(lang)}
doc_jsonify, resp = parse_sents(data)
domai... | the_stack_v2_python_sparse | sagas/nlu/predicts_cli.py | samlet/stack | train | 3 | |
169c8e128077799fe50386bbcb79dcabe1cea2fb | [
"multiprocessing.Process.__init__(self)\nself.__tasks = tasks\nself.__results = results",
"while True:\n task = self.__tasks.get()\n if task is None:\n self.__tasks.task_done()\n break\n data = 'Error'\n try:\n data = task.run()\n except Exception as e:\n print('Error: '... | <|body_start_0|>
multiprocessing.Process.__init__(self)
self.__tasks = tasks
self.__results = results
<|end_body_0|>
<|body_start_1|>
while True:
task = self.__tasks.get()
if task is None:
self.__tasks.task_done()
break
... | Worker Process | Worker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Worker:
"""Worker Process"""
def __init__(self, tasks, results):
"""constructor: init worker with task and result queue"""
<|body_0|>
def run(self):
"""gain tasks and compute them until ThreadPool sends termination signal"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_002397 | 3,824 | permissive | [
{
"docstring": "constructor: init worker with task and result queue",
"name": "__init__",
"signature": "def __init__(self, tasks, results)"
},
{
"docstring": "gain tasks and compute them until ThreadPool sends termination signal",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015772 | Implement the Python class `Worker` described below.
Class description:
Worker Process
Method signatures and docstrings:
- def __init__(self, tasks, results): constructor: init worker with task and result queue
- def run(self): gain tasks and compute them until ThreadPool sends termination signal | Implement the Python class `Worker` described below.
Class description:
Worker Process
Method signatures and docstrings:
- def __init__(self, tasks, results): constructor: init worker with task and result queue
- def run(self): gain tasks and compute them until ThreadPool sends termination signal
<|skeleton|>
class ... | 995eea5145db9e35374c0bac9d6347c623f5c7f9 | <|skeleton|>
class Worker:
"""Worker Process"""
def __init__(self, tasks, results):
"""constructor: init worker with task and result queue"""
<|body_0|>
def run(self):
"""gain tasks and compute them until ThreadPool sends termination signal"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Worker:
"""Worker Process"""
def __init__(self, tasks, results):
"""constructor: init worker with task and result queue"""
multiprocessing.Process.__init__(self)
self.__tasks = tasks
self.__results = results
def run(self):
"""gain tasks and compute them until ... | the_stack_v2_python_sparse | networkit/profiling/multiprocessing_helper.py | networkit/networkit | train | 505 |
ffbee323973492468ea5f4001cfd8cbb4fa7be35 | [
"entity_id = GenericUUID(data.pop('id'))\nentity_dict = {'id': entity_id, **data}\nreturn entity_class(**entity_dict)",
"data = dict(**entity.__dict__)\nentity_id = str(data.pop('id'))\nreturn model_class(**{'id': entity_id, 'data': data})"
] | <|body_start_0|>
entity_id = GenericUUID(data.pop('id'))
entity_dict = {'id': entity_id, **data}
return entity_class(**entity_dict)
<|end_body_0|>
<|body_start_1|>
data = dict(**entity.__dict__)
entity_id = str(data.pop('id'))
return model_class(**{'id': entity_id, 'data... | Used to serialize/deserialize entities from/to JSON data format | JSONDataMapper | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JSONDataMapper:
"""Used to serialize/deserialize entities from/to JSON data format"""
def data_to_entity(self, data: dict, entity_class: type[Entity]) -> Entity:
"""Creates business entity from dictionary with a `data` attribute"""
<|body_0|>
def entity_to_data(self, ent... | stack_v2_sparse_classes_75kplus_train_002398 | 835 | permissive | [
{
"docstring": "Creates business entity from dictionary with a `data` attribute",
"name": "data_to_entity",
"signature": "def data_to_entity(self, data: dict, entity_class: type[Entity]) -> Entity"
},
{
"docstring": "Stores entity attributes in dictionary with a `data` attribute",
"name": "e... | 2 | null | Implement the Python class `JSONDataMapper` described below.
Class description:
Used to serialize/deserialize entities from/to JSON data format
Method signatures and docstrings:
- def data_to_entity(self, data: dict, entity_class: type[Entity]) -> Entity: Creates business entity from dictionary with a `data` attribut... | Implement the Python class `JSONDataMapper` described below.
Class description:
Used to serialize/deserialize entities from/to JSON data format
Method signatures and docstrings:
- def data_to_entity(self, data: dict, entity_class: type[Entity]) -> Entity: Creates business entity from dictionary with a `data` attribut... | 79f9558a8d6a7e97e7f7b3fdb084517fd43ee6b1 | <|skeleton|>
class JSONDataMapper:
"""Used to serialize/deserialize entities from/to JSON data format"""
def data_to_entity(self, data: dict, entity_class: type[Entity]) -> Entity:
"""Creates business entity from dictionary with a `data` attribute"""
<|body_0|>
def entity_to_data(self, ent... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JSONDataMapper:
"""Used to serialize/deserialize entities from/to JSON data format"""
def data_to_entity(self, data: dict, entity_class: type[Entity]) -> Entity:
"""Creates business entity from dictionary with a `data` attribute"""
entity_id = GenericUUID(data.pop('id'))
entity_di... | the_stack_v2_python_sparse | src/seedwork/infrastructure/json_data_mapper.py | pgorecki/python-ddd | train | 359 |
38bcb668b6e7c80f69241e27f5c6b76633808dd5 | [
"if len(nums) == 0:\n return 0\npos = 0\nwhile pos < len(nums):\n if nums[pos] >= target:\n return pos\n pos += 1\nreturn len(nums)",
"if len(nums) == 1:\n return int(target >= nums[0])\nelif len(nums) == 2:\n if target > nums[1]:\n return 2\n elif nums[0] < target <= nums[1]:\n ... | <|body_start_0|>
if len(nums) == 0:
return 0
pos = 0
while pos < len(nums):
if nums[pos] >= target:
return pos
pos += 1
return len(nums)
<|end_body_0|>
<|body_start_1|>
if len(nums) == 1:
return int(target >= nums[0... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def searchInsert2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_75kplus_train_002399 | 1,138 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "searchInsert",
"signature": "def searchInsert(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "searchInsert2",
"signature": "def searchInsert2(self, nums, ... | 2 | stack_v2_sparse_classes_30k_train_021982 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def searchInsert2(self, nums, target): :type nums: List[int] :type target: int :rtype:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def searchInsert2(self, nums, target): :type nums: List[int] :type target: int :rtype:... | 9f53994d8a123003d5f12a76cf375982cee52806 | <|skeleton|>
class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def searchInsert2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def searchInsert(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
if len(nums) == 0:
return 0
pos = 0
while pos < len(nums):
if nums[pos] >= target:
return pos
pos += 1
return le... | the_stack_v2_python_sparse | Algorithms/Q35_Search_Insert_Position.py | filosfino/leetcode | train | 1 |
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