blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fc841da4131ef82e9b0b1af08c1b7b9bb89ac715 | [
"self.logger = logger\nself.is_trained = False\nself.supported_formats = ['pkl', 'onnx', 'pmml']\nself.name = 'FBSVM'\nself.centroids = None\nself.weights = None\nself.sigma = None",
"NP = X_b.shape[0]\nNC = self.centroids.shape[0]\nXC2 = -2 * np.dot(X_b, self.centroids.T)\nXC2 += np.sum(np.multiply(X_b, X_b), ax... | <|body_start_0|>
self.logger = logger
self.is_trained = False
self.supported_formats = ['pkl', 'onnx', 'pmml']
self.name = 'FBSVM'
self.centroids = None
self.weights = None
self.sigma = None
<|end_body_0|>
<|body_start_1|>
NP = X_b.shape[0]
NC = s... | This class contains the Federated Budget SVM model. | FBSVM_model | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FBSVM_model:
"""This class contains the Federated Budget SVM model."""
def __init__(self, logger):
"""Create a :class:`FBSVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance."""
<|body_0|>
def predict(self, X_b):
""... | stack_v2_sparse_classes_75kplus_train_073000 | 17,863 | permissive | [
{
"docstring": "Create a :class:`FBSVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance.",
"name": "__init__",
"signature": "def __init__(self, logger)"
},
{
"docstring": "Uses the model to predict new outputs given for an unlabeled dataset. Parame... | 2 | stack_v2_sparse_classes_30k_train_019168 | Implement the Python class `FBSVM_model` described below.
Class description:
This class contains the Federated Budget SVM model.
Method signatures and docstrings:
- def __init__(self, logger): Create a :class:`FBSVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance.
- de... | Implement the Python class `FBSVM_model` described below.
Class description:
This class contains the Federated Budget SVM model.
Method signatures and docstrings:
- def __init__(self, logger): Create a :class:`FBSVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance.
- de... | ccc0a7674a04ae0d00bedc38893b33184c5f68c6 | <|skeleton|>
class FBSVM_model:
"""This class contains the Federated Budget SVM model."""
def __init__(self, logger):
"""Create a :class:`FBSVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance."""
<|body_0|>
def predict(self, X_b):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FBSVM_model:
"""This class contains the Federated Budget SVM model."""
def __init__(self, logger):
"""Create a :class:`FBSVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance."""
self.logger = logger
self.is_trained = False
se... | the_stack_v2_python_sparse | MMLL/models/POM1/FBSVM/FBSVM.py | Musketeer-H2020/MMLL-Robust | train | 0 |
cf06d4c271acece9e23a2de1b3090a1d352d3749 | [
"Expr.__init__(self, template, line)\nself._var = var\nself._nodes = nodes",
"try:\n fn = self._env.get(self._var)\n params = [node.eval() for node in self._nodes]\n return fn(*params)\nexcept KeyError:\n raise UnknownVariableError('.'.join(self._var), self._template._filename, self._line)"
] | <|body_start_0|>
Expr.__init__(self, template, line)
self._var = var
self._nodes = nodes
<|end_body_0|>
<|body_start_1|>
try:
fn = self._env.get(self._var)
params = [node.eval() for node in self._nodes]
return fn(*params)
except KeyError:
... | A function expression node. | FuncExpr | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FuncExpr:
"""A function expression node."""
def __init__(self, template, line, var, nodes):
"""Initialize the node."""
<|body_0|>
def eval(self):
"""Evaluate the expression."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
Expr.__init__(self, tem... | stack_v2_sparse_classes_75kplus_train_073001 | 3,521 | permissive | [
{
"docstring": "Initialize the node.",
"name": "__init__",
"signature": "def __init__(self, template, line, var, nodes)"
},
{
"docstring": "Evaluate the expression.",
"name": "eval",
"signature": "def eval(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_032725 | Implement the Python class `FuncExpr` described below.
Class description:
A function expression node.
Method signatures and docstrings:
- def __init__(self, template, line, var, nodes): Initialize the node.
- def eval(self): Evaluate the expression. | Implement the Python class `FuncExpr` described below.
Class description:
A function expression node.
Method signatures and docstrings:
- def __init__(self, template, line, var, nodes): Initialize the node.
- def eval(self): Evaluate the expression.
<|skeleton|>
class FuncExpr:
"""A function expression node."""
... | 6aeee9b229d3f62aace98a51d9014781bbe6cb52 | <|skeleton|>
class FuncExpr:
"""A function expression node."""
def __init__(self, template, line, var, nodes):
"""Initialize the node."""
<|body_0|>
def eval(self):
"""Evaluate the expression."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FuncExpr:
"""A function expression node."""
def __init__(self, template, line, var, nodes):
"""Initialize the node."""
Expr.__init__(self, template, line)
self._var = var
self._nodes = nodes
def eval(self):
"""Evaluate the expression."""
try:
... | the_stack_v2_python_sparse | mrbaviirc/template/expr.py | brianvanderburg2/mrbaviirc | train | 0 |
f0fdc703bec438b7888bd3eda6197aa328da1791 | [
"models = registry.models.values()\nmodels = sorted(models, key=lambda x: x.label)\nserializer = ModelSerializer(models, many=True)\nreturn Response(serializer.data)",
"model = registry.models.get(pk)\nif model is None:\n raise Http404\nserializer = ModelSerializer(model)\nreturn Response(serializer.data)"
] | <|body_start_0|>
models = registry.models.values()
models = sorted(models, key=lambda x: x.label)
serializer = ModelSerializer(models, many=True)
return Response(serializer.data)
<|end_body_0|>
<|body_start_1|>
model = registry.models.get(pk)
if model is None:
... | Viewset around model information. | ModelViewSet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelViewSet:
"""Viewset around model information."""
def list(self, request):
"""Get a list of models."""
<|body_0|>
def retrieve(self, request, pk=None):
"""Get a specific model."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
models = registr... | stack_v2_sparse_classes_75kplus_train_073002 | 9,625 | permissive | [
{
"docstring": "Get a list of models.",
"name": "list",
"signature": "def list(self, request)"
},
{
"docstring": "Get a specific model.",
"name": "retrieve",
"signature": "def retrieve(self, request, pk=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017392 | Implement the Python class `ModelViewSet` described below.
Class description:
Viewset around model information.
Method signatures and docstrings:
- def list(self, request): Get a list of models.
- def retrieve(self, request, pk=None): Get a specific model. | Implement the Python class `ModelViewSet` described below.
Class description:
Viewset around model information.
Method signatures and docstrings:
- def list(self, request): Get a list of models.
- def retrieve(self, request, pk=None): Get a specific model.
<|skeleton|>
class ModelViewSet:
"""Viewset around model... | aaab76706c8268d3ff3e87c275baee9dd4714314 | <|skeleton|>
class ModelViewSet:
"""Viewset around model information."""
def list(self, request):
"""Get a list of models."""
<|body_0|>
def retrieve(self, request, pk=None):
"""Get a specific model."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelViewSet:
"""Viewset around model information."""
def list(self, request):
"""Get a list of models."""
models = registry.models.values()
models = sorted(models, key=lambda x: x.label)
serializer = ModelSerializer(models, many=True)
return Response(serializer.da... | the_stack_v2_python_sparse | web/api/views.py | rcbops/FleetDeploymentReporting | train | 1 |
967cf641c7b65ffef15fda09d38156a680080f04 | [
"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"""
<|body_0|>
def delete(self, request, address_id):
"""删除地址"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
json_dict = json.loads(request.body.decode())
... | stack_v2_sparse_classes_75kplus_train_073003 | 28,395 | permissive | [
{
"docstring": "修改地址",
"name": "put",
"signature": "def put(self, request, address_id)"
},
{
"docstring": "删除地址",
"name": "delete",
"signature": "def delete(self, request, address_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016631 | 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
- def delete(self, request, address_id): 删除地址 | 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
- def delete(self, request, address_id): 删除地址
<|skeleton|>
class UpdateDestroyAddressView:
"""修改和删除地址"""
def put(self, request, addre... | 42a7edf7ca3b43b59955505db854c73c6edf1f24 | <|skeleton|>
class UpdateDestroyAddressView:
"""修改和删除地址"""
def put(self, request, address_id):
"""修改地址"""
<|body_0|>
def delete(self, request, address_id):
"""删除地址"""
<|body_1|>
<|end_skeleton|> | 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"""
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_... | the_stack_v2_python_sparse | meiduo_mall/apps/users/views.py | Gh-Helina/Git_meiduo | train | 0 |
6c3b0896585a2b834791b7db54084116cb9587fc | [
"self.ide = identity_element\nself.lide = lazy_ide\nself.func = segfunc\nn = len(ls)\nself.num = 2 ** (n - 1).bit_length()\nself.tree = [self.ide] * (2 * self.num)\nself.lazy = [self.lide] * (2 * self.num)\nfor i, l in enumerate(ls):\n self.tree[i + self.num - 1] = l\nfor i in range(self.num - 2, -1, -1):\n s... | <|body_start_0|>
self.ide = identity_element
self.lide = lazy_ide
self.func = segfunc
n = len(ls)
self.num = 2 ** (n - 1).bit_length()
self.tree = [self.ide] * (2 * self.num)
self.lazy = [self.lide] * (2 * self.num)
for i, l in enumerate(ls):
s... | LazySegmentTree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LazySegmentTree:
def __init__(self, ls: list, segfunc, identity_element, lazy_ide=None):
"""セグ木 pypyじゃないとTLEなるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%E4%BD%8D%E5%85%83... | stack_v2_sparse_classes_75kplus_train_073004 | 23,273 | no_license | [
{
"docstring": "セグ木 pypyじゃないとTLEなるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%E4%BD%8D%E5%85%83)",
"name": "__init__",
"signature": "def __init__(self, ls: list, segfunc, identity_element... | 4 | stack_v2_sparse_classes_30k_train_036349 | Implement the Python class `LazySegmentTree` described below.
Class description:
Implement the LazySegmentTree class.
Method signatures and docstrings:
- def __init__(self, ls: list, segfunc, identity_element, lazy_ide=None): セグ木 pypyじゃないとTLEなるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity element... | Implement the Python class `LazySegmentTree` described below.
Class description:
Implement the LazySegmentTree class.
Method signatures and docstrings:
- def __init__(self, ls: list, segfunc, identity_element, lazy_ide=None): セグ木 pypyじゃないとTLEなるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity element... | 74915a40ac157f89fe400e3f98e9bf3c10012cd7 | <|skeleton|>
class LazySegmentTree:
def __init__(self, ls: list, segfunc, identity_element, lazy_ide=None):
"""セグ木 pypyじゃないとTLEなるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%E4%BD%8D%E5%85%83... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LazySegmentTree:
def __init__(self, ls: list, segfunc, identity_element, lazy_ide=None):
"""セグ木 pypyじゃないとTLEなるかも 一次元のリストlsを受け取り初期化する。O(len(ls)) 区間のルールはsegfuncによって定義される identity elementは単位元。e.g., 最小値を求めたい→inf, 和→0, 積→1, gcd→0 [単位元](https://ja.wikipedia.org/wiki/%E5%8D%98%E4%BD%8D%E5%85%83)"""
s... | the_stack_v2_python_sparse | algorithm/SegmentTree.py | masakiaota/kyoupuro | train | 1 | |
6bdf606b34783c4669e1253402babf117e57acbf | [
"self.children = {}\nself.mean = 0.0\nassert nodetype in nodetype_enum, 'The given value %s is a not a valid node type.' % str(nodetype)\nself.type = nodetype\nself.visits = 0",
"reward = 0.0\nif horizon == 0:\n return reward\nif self.type == chance_node:\n observation, r = agent.generate_percept_and_update... | <|body_start_0|>
self.children = {}
self.mean = 0.0
assert nodetype in nodetype_enum, 'The given value %s is a not a valid node type.' % str(nodetype)
self.type = nodetype
self.visits = 0
<|end_body_0|>
<|body_start_1|>
reward = 0.0
if horizon == 0:
r... | A class to represent a node in the Monte Carlo search tree. The nodes in the search tree represent simulated actions and percepts between an agent following an upper confidence bounds (UCB) policy and a generative model of the environment represented by a context tree. The purpose of the tree is to determine the expect... | MonteCarloSearchNode | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MonteCarloSearchNode:
"""A class to represent a node in the Monte Carlo search tree. The nodes in the search tree represent simulated actions and percepts between an agent following an upper confidence bounds (UCB) policy and a generative model of the environment represented by a context tree. Th... | stack_v2_sparse_classes_75kplus_train_073005 | 6,844 | no_license | [
{
"docstring": "Create a new search node of the given type.",
"name": "__init__",
"signature": "def __init__(self, nodetype)"
},
{
"docstring": "Returns the accumulated reward from performing a single sample on this node. - `agent`: the agent doing the sampling - `horizon`: how many cycles into ... | 3 | stack_v2_sparse_classes_30k_train_007770 | Implement the Python class `MonteCarloSearchNode` described below.
Class description:
A class to represent a node in the Monte Carlo search tree. The nodes in the search tree represent simulated actions and percepts between an agent following an upper confidence bounds (UCB) policy and a generative model of the enviro... | Implement the Python class `MonteCarloSearchNode` described below.
Class description:
A class to represent a node in the Monte Carlo search tree. The nodes in the search tree represent simulated actions and percepts between an agent following an upper confidence bounds (UCB) policy and a generative model of the enviro... | c0349c4b0c9a2fcb30d9f0698807eb3f5ca2841a | <|skeleton|>
class MonteCarloSearchNode:
"""A class to represent a node in the Monte Carlo search tree. The nodes in the search tree represent simulated actions and percepts between an agent following an upper confidence bounds (UCB) policy and a generative model of the environment represented by a context tree. Th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MonteCarloSearchNode:
"""A class to represent a node in the Monte Carlo search tree. The nodes in the search tree represent simulated actions and percepts between an agent following an upper confidence bounds (UCB) policy and a generative model of the environment represented by a context tree. The purpose of ... | the_stack_v2_python_sparse | monte_carlo_search_tree.py | openAIunfair/aixi | train | 0 |
c8b1c1b2d2ab18f52a9460373d356f84e597c542 | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(username=username, email=self.normalize_email(email))\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(username, email, password=password)\nuser.is_admin = True\nuser.is_staff... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(username=username, email=self.normalize_email(email))
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_start_1|>
user ... | MyUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, username, email, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, username, email, password):
"""Creates and saves a superuser with the given em... | stack_v2_sparse_classes_75kplus_train_073006 | 3,320 | no_license | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, username, email, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email, date of birth and password.",
"name"... | 2 | stack_v2_sparse_classes_30k_train_053948 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, username, email, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, username,... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, username, email, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, username,... | 8b33a29e60d84853f8c1e92d7a4ca88c6ee349b4 | <|skeleton|>
class MyUserManager:
def create_user(self, username, email, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, username, email, password):
"""Creates and saves a superuser with the given em... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyUserManager:
def create_user(self, username, email, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
if not email:
raise ValueError('Users must have an email address')
user = self.model(username=username, email=self.normaliz... | the_stack_v2_python_sparse | accounts/models.py | falbellaihi1/BST | train | 0 | |
8aa59586c0a210e2b262a43c33dd71d90c7c9c06 | [
"left, right, res = (0, num, False)\nwhile left <= right:\n mid = left + (right - left) / 2\n square = mid * mid\n square_one = (mid + 1) * (mid + 1)\n if square < num < square_one:\n break\n elif square == num:\n res = True\n break\n elif num < square:\n right = mid\n ... | <|body_start_0|>
left, right, res = (0, num, False)
while left <= right:
mid = left + (right - left) / 2
square = mid * mid
square_one = (mid + 1) * (mid + 1)
if square < num < square_one:
break
elif square == num:
... | 给定一个正整数 num，编写一个函数，如果 num 是一个完全平方数，则返回 True，否则返回 False。 说明：不要使用任何内置的库函数，如 sqrt。 示例 1： 输入：16 输出：True 示例 2： 输入：14 输出：False | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""给定一个正整数 num，编写一个函数，如果 num 是一个完全平方数，则返回 True，否则返回 False。 说明：不要使用任何内置的库函数，如 sqrt。 示例 1： 输入：16 输出：True 示例 2： 输入：14 输出：False"""
def is_perfect_square(self, num):
""":type num: int :rtype: bool 分析： 一个完全平方数一定是一个正整数的二次方，而非完全平方数一定是介于一个值的二次方与这个值加1的二次方之间 时间复杂度：O(logn) 空间复杂度：O(1)""... | stack_v2_sparse_classes_75kplus_train_073007 | 2,552 | no_license | [
{
"docstring": ":type num: int :rtype: bool 分析： 一个完全平方数一定是一个正整数的二次方，而非完全平方数一定是介于一个值的二次方与这个值加1的二次方之间 时间复杂度：O(logn) 空间复杂度：O(1)",
"name": "is_perfect_square",
"signature": "def is_perfect_square(self, num)"
},
{
"docstring": ":type num: int :rtype: bool 时间复杂度：这个不太容易算出来，我测试了几组数据，num -> while循环次数：16-... | 3 | stack_v2_sparse_classes_30k_train_017771 | Implement the Python class `Solution` described below.
Class description:
给定一个正整数 num，编写一个函数，如果 num 是一个完全平方数，则返回 True，否则返回 False。 说明：不要使用任何内置的库函数，如 sqrt。 示例 1： 输入：16 输出：True 示例 2： 输入：14 输出：False
Method signatures and docstrings:
- def is_perfect_square(self, num): :type num: int :rtype: bool 分析： 一个完全平方数一定是一个正整数的二次方，而... | Implement the Python class `Solution` described below.
Class description:
给定一个正整数 num，编写一个函数，如果 num 是一个完全平方数，则返回 True，否则返回 False。 说明：不要使用任何内置的库函数，如 sqrt。 示例 1： 输入：16 输出：True 示例 2： 输入：14 输出：False
Method signatures and docstrings:
- def is_perfect_square(self, num): :type num: int :rtype: bool 分析： 一个完全平方数一定是一个正整数的二次方，而... | 2c534185854c1a6f5ffdb2698f9db9989f30a25b | <|skeleton|>
class Solution:
"""给定一个正整数 num，编写一个函数，如果 num 是一个完全平方数，则返回 True，否则返回 False。 说明：不要使用任何内置的库函数，如 sqrt。 示例 1： 输入：16 输出：True 示例 2： 输入：14 输出：False"""
def is_perfect_square(self, num):
""":type num: int :rtype: bool 分析： 一个完全平方数一定是一个正整数的二次方，而非完全平方数一定是介于一个值的二次方与这个值加1的二次方之间 时间复杂度：O(logn) 空间复杂度：O(1)""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""给定一个正整数 num，编写一个函数，如果 num 是一个完全平方数，则返回 True，否则返回 False。 说明：不要使用任何内置的库函数，如 sqrt。 示例 1： 输入：16 输出：True 示例 2： 输入：14 输出：False"""
def is_perfect_square(self, num):
""":type num: int :rtype: bool 分析： 一个完全平方数一定是一个正整数的二次方，而非完全平方数一定是介于一个值的二次方与这个值加1的二次方之间 时间复杂度：O(logn) 空间复杂度：O(1)"""
lef... | the_stack_v2_python_sparse | Week 03/id_668/leetcode_367_668.py | Carryours/algorithm004-03 | train | 2 |
624841fcec7a0f0ef6873c55ebdc221516c2a2ba | [
"if slot < 1 or slot > 2:\n raise ValueError('slot is outside of 1 and 2.')\nif slot == 1:\n self.ir_tx = self.ir_tx_1\nelif slot == 2:\n self.ir_tx = self.ir_tx_2\nGPIO.setwarnings(False)\nGPIO.setmode(GPIO.BCM)\nGPIO.setup(self.ir_tx, GPIO.OUT, initial=GPIO.LOW)\nself.is_initialized = True\nreturn",
"i... | <|body_start_0|>
if slot < 1 or slot > 2:
raise ValueError('slot is outside of 1 and 2.')
if slot == 1:
self.ir_tx = self.ir_tx_1
elif slot == 2:
self.ir_tx = self.ir_tx_2
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
GPIO.setup(self.i... | IR Remote Controller Transmitter. | IRRemoteTx | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IRRemoteTx:
"""IR Remote Controller Transmitter."""
def __init__(self, slot):
"""Initiates the IR Transmitter. Parameters: slot (int): Modular sensor slot number (1 or 2)"""
<|body_0|>
def write(self, protocol, command):
"""Sends the IR remote controller signal u... | stack_v2_sparse_classes_75kplus_train_073008 | 3,242 | permissive | [
{
"docstring": "Initiates the IR Transmitter. Parameters: slot (int): Modular sensor slot number (1 or 2)",
"name": "__init__",
"signature": "def __init__(self, slot)"
},
{
"docstring": "Sends the IR remote controller signal using the selected protocol. Parameters: protocol (PROTOCOLS): Remote c... | 5 | stack_v2_sparse_classes_30k_train_012481 | Implement the Python class `IRRemoteTx` described below.
Class description:
IR Remote Controller Transmitter.
Method signatures and docstrings:
- def __init__(self, slot): Initiates the IR Transmitter. Parameters: slot (int): Modular sensor slot number (1 or 2)
- def write(self, protocol, command): Sends the IR remot... | Implement the Python class `IRRemoteTx` described below.
Class description:
IR Remote Controller Transmitter.
Method signatures and docstrings:
- def __init__(self, slot): Initiates the IR Transmitter. Parameters: slot (int): Modular sensor slot number (1 or 2)
- def write(self, protocol, command): Sends the IR remot... | ad0dbb07591a6ce89b93435c74830c12f48382f2 | <|skeleton|>
class IRRemoteTx:
"""IR Remote Controller Transmitter."""
def __init__(self, slot):
"""Initiates the IR Transmitter. Parameters: slot (int): Modular sensor slot number (1 or 2)"""
<|body_0|>
def write(self, protocol, command):
"""Sends the IR remote controller signal u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IRRemoteTx:
"""IR Remote Controller Transmitter."""
def __init__(self, slot):
"""Initiates the IR Transmitter. Parameters: slot (int): Modular sensor slot number (1 or 2)"""
if slot < 1 or slot > 2:
raise ValueError('slot is outside of 1 and 2.')
if slot == 1:
... | the_stack_v2_python_sparse | IRRemote/ModularHAT/Libraries/Python/Turta_IRRemote_Module.py | Turta-io/Modular | train | 2 |
637eb1d71001c085f75843c667044e08e2a396e9 | [
"self.key = key\nself.value = value\nself.left = self.right = None",
"if key < self.key:\n if self.left:\n self.left.insert(key, value)\n else:\n self.left = Tree(key, value)\nelif key > self.key:\n if self.right:\n self.right.insert(key, value)\n else:\n self.right = Tree(... | <|body_start_0|>
self.key = key
self.value = value
self.left = self.right = None
<|end_body_0|>
<|body_start_1|>
if key < self.key:
if self.left:
self.left.insert(key, value)
else:
self.left = Tree(key, value)
elif key > se... | Tree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tree:
def __init__(self, key, value=None):
"""Create a new Tree object with empty L & R subtrees."""
<|body_0|>
def insert(self, key, value=None):
"""Insert a new element into the tree in the correct position"""
<|body_1|>
def find(self, key):
""... | stack_v2_sparse_classes_75kplus_train_073009 | 1,923 | no_license | [
{
"docstring": "Create a new Tree object with empty L & R subtrees.",
"name": "__init__",
"signature": "def __init__(self, key, value=None)"
},
{
"docstring": "Insert a new element into the tree in the correct position",
"name": "insert",
"signature": "def insert(self, key, value=None)"
... | 4 | null | Implement the Python class `Tree` described below.
Class description:
Implement the Tree class.
Method signatures and docstrings:
- def __init__(self, key, value=None): Create a new Tree object with empty L & R subtrees.
- def insert(self, key, value=None): Insert a new element into the tree in the correct position
-... | Implement the Python class `Tree` described below.
Class description:
Implement the Tree class.
Method signatures and docstrings:
- def __init__(self, key, value=None): Create a new Tree object with empty L & R subtrees.
- def insert(self, key, value=None): Insert a new element into the tree in the correct position
-... | f51c1d2d9557c95e869cbce5bff7158f5aa90192 | <|skeleton|>
class Tree:
def __init__(self, key, value=None):
"""Create a new Tree object with empty L & R subtrees."""
<|body_0|>
def insert(self, key, value=None):
"""Insert a new element into the tree in the correct position"""
<|body_1|>
def find(self, key):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Tree:
def __init__(self, key, value=None):
"""Create a new Tree object with empty L & R subtrees."""
self.key = key
self.value = value
self.left = self.right = None
def insert(self, key, value=None):
"""Insert a new element into the tree in the correct position"""
... | the_stack_v2_python_sparse | Python 04: Advanced Python/Lesson 03: Delegation and Composition/tree.py | MTset/Python-Programming-Coursework | train | 0 | |
ce8649d1b91ac614597ad01cfa9db7983495ad0f | [
"node = self._getObjectNode('filtered_set')\nnode.setAttribute('expression', self.context.getExpression())\nreturn node",
"_before = self.context.expr\nself.context.setExpression(node.getAttribute('expression'))\n_after = self.context.expr\nif _before != _after:\n self.context.clear()"
] | <|body_start_0|>
node = self._getObjectNode('filtered_set')
node.setAttribute('expression', self.context.getExpression())
return node
<|end_body_0|>
<|body_start_1|>
_before = self.context.expr
self.context.setExpression(node.getAttribute('expression'))
_after = self.con... | Node im- and exporter for FilteredSet. | FilteredSetNodeAdapter | [
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FilteredSetNodeAdapter:
"""Node im- and exporter for FilteredSet."""
def _exportNode(self):
"""Export the object as a DOM node."""
<|body_0|>
def _importNode(self, node):
"""Import the object from the DOM node."""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_073010 | 6,397 | permissive | [
{
"docstring": "Export the object as a DOM node.",
"name": "_exportNode",
"signature": "def _exportNode(self)"
},
{
"docstring": "Import the object from the DOM node.",
"name": "_importNode",
"signature": "def _importNode(self, node)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035041 | Implement the Python class `FilteredSetNodeAdapter` described below.
Class description:
Node im- and exporter for FilteredSet.
Method signatures and docstrings:
- def _exportNode(self): Export the object as a DOM node.
- def _importNode(self, node): Import the object from the DOM node. | Implement the Python class `FilteredSetNodeAdapter` described below.
Class description:
Node im- and exporter for FilteredSet.
Method signatures and docstrings:
- def _exportNode(self): Export the object as a DOM node.
- def _importNode(self, node): Import the object from the DOM node.
<|skeleton|>
class FilteredSet... | 44891e10fc83abb6626dffec3334247e8de7a9a0 | <|skeleton|>
class FilteredSetNodeAdapter:
"""Node im- and exporter for FilteredSet."""
def _exportNode(self):
"""Export the object as a DOM node."""
<|body_0|>
def _importNode(self, node):
"""Import the object from the DOM node."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FilteredSetNodeAdapter:
"""Node im- and exporter for FilteredSet."""
def _exportNode(self):
"""Export the object as a DOM node."""
node = self._getObjectNode('filtered_set')
node.setAttribute('expression', self.context.getExpression())
return node
def _importNode(self... | the_stack_v2_python_sparse | src/Products/GenericSetup/PluginIndexes/exportimport.py | zopefoundation/Products.GenericSetup | train | 4 |
a3dc338407be2b44db5de8aac0e0fb2446db016d | [
"self.num_class = -1\nself.num_bin = num_bin\nself.num_feature = -1\nself.prior = None\nself.miu = None\nself.sigma = None\nself.distribution = None\nself.mode = mode\nself.epsilon = 1e-09\nif 256 % self.num_bin != 0:\n print('error bin number!')\n exit()\nelse:\n self.dis_width = 256 / self.num_bin",
"s... | <|body_start_0|>
self.num_class = -1
self.num_bin = num_bin
self.num_feature = -1
self.prior = None
self.miu = None
self.sigma = None
self.distribution = None
self.mode = mode
self.epsilon = 1e-09
if 256 % self.num_bin != 0:
pri... | NaiveBayseClassifier | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NaiveBayseClassifier:
def __init__(self, mode=1, num_bin=32):
"""Constructor of Naive Bayes classifier The function would check if the number of bins is valid If it's invalid, error will raise and exit the program Arg: mode - The mode integer num_bin - The number of bins"""
<|bod... | stack_v2_sparse_classes_75kplus_train_073011 | 3,971 | no_license | [
{
"docstring": "Constructor of Naive Bayes classifier The function would check if the number of bins is valid If it's invalid, error will raise and exit the program Arg: mode - The mode integer num_bin - The number of bins",
"name": "__init__",
"signature": "def __init__(self, mode=1, num_bin=32)"
},
... | 3 | stack_v2_sparse_classes_30k_train_037923 | Implement the Python class `NaiveBayseClassifier` described below.
Class description:
Implement the NaiveBayseClassifier class.
Method signatures and docstrings:
- def __init__(self, mode=1, num_bin=32): Constructor of Naive Bayes classifier The function would check if the number of bins is valid If it's invalid, err... | Implement the Python class `NaiveBayseClassifier` described below.
Class description:
Implement the NaiveBayseClassifier class.
Method signatures and docstrings:
- def __init__(self, mode=1, num_bin=32): Constructor of Naive Bayes classifier The function would check if the number of bins is valid If it's invalid, err... | a99878bd85e69aebf4582efa7231ac2c3514fe8e | <|skeleton|>
class NaiveBayseClassifier:
def __init__(self, mode=1, num_bin=32):
"""Constructor of Naive Bayes classifier The function would check if the number of bins is valid If it's invalid, error will raise and exit the program Arg: mode - The mode integer num_bin - The number of bins"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NaiveBayseClassifier:
def __init__(self, mode=1, num_bin=32):
"""Constructor of Naive Bayes classifier The function would check if the number of bins is valid If it's invalid, error will raise and exit the program Arg: mode - The mode integer num_bin - The number of bins"""
self.num_class = -1... | the_stack_v2_python_sparse | hw2/1/classifier.py | SunnerLi/ml | train | 0 | |
a11d2c019b897fb2844bc4cc5126b39c6c7047a8 | [
"try:\n return np.sqrt(self.energy / self.component.mass)\nexcept FloatingPointError:\n return np.zeros(self.frequency.amount)",
"try:\n return 20 * np.log10(self.velocity / (5 * 10 ** (-8)))\nexcept FloatingPointError:\n return np.zeros(self.frequency.amount)"
] | <|body_start_0|>
try:
return np.sqrt(self.energy / self.component.mass)
except FloatingPointError:
return np.zeros(self.frequency.amount)
<|end_body_0|>
<|body_start_1|>
try:
return 20 * np.log10(self.velocity / (5 * 10 ** (-8)))
except FloatingPointE... | Abstract base class for all Structural subsystems. | SubsystemStructural | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubsystemStructural:
"""Abstract base class for all Structural subsystems."""
def velocity(self):
"""Vibrational velocity :math:`v`. .. math:: v = \\sqrt{\\frac{E}{m}}"""
<|body_0|>
def velocity_level(self):
"""Velocity level. .. math:: L_v = 20 \\log_{10}{\\frac... | stack_v2_sparse_classes_75kplus_train_073012 | 876 | no_license | [
{
"docstring": "Vibrational velocity :math:`v`. .. math:: v = \\\\sqrt{\\\\frac{E}{m}}",
"name": "velocity",
"signature": "def velocity(self)"
},
{
"docstring": "Velocity level. .. math:: L_v = 20 \\\\log_{10}{\\\\frac{v}{v_0}}",
"name": "velocity_level",
"signature": "def velocity_level... | 2 | stack_v2_sparse_classes_30k_train_038356 | Implement the Python class `SubsystemStructural` described below.
Class description:
Abstract base class for all Structural subsystems.
Method signatures and docstrings:
- def velocity(self): Vibrational velocity :math:`v`. .. math:: v = \\sqrt{\\frac{E}{m}}
- def velocity_level(self): Velocity level. .. math:: L_v =... | Implement the Python class `SubsystemStructural` described below.
Class description:
Abstract base class for all Structural subsystems.
Method signatures and docstrings:
- def velocity(self): Vibrational velocity :math:`v`. .. math:: v = \\sqrt{\\frac{E}{m}}
- def velocity_level(self): Velocity level. .. math:: L_v =... | e30b6dc59d8ab02cd41924f7b6c14d0d1e77e19e | <|skeleton|>
class SubsystemStructural:
"""Abstract base class for all Structural subsystems."""
def velocity(self):
"""Vibrational velocity :math:`v`. .. math:: v = \\sqrt{\\frac{E}{m}}"""
<|body_0|>
def velocity_level(self):
"""Velocity level. .. math:: L_v = 20 \\log_{10}{\\frac... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubsystemStructural:
"""Abstract base class for all Structural subsystems."""
def velocity(self):
"""Vibrational velocity :math:`v`. .. math:: v = \\sqrt{\\frac{E}{m}}"""
try:
return np.sqrt(self.energy / self.component.mass)
except FloatingPointError:
retu... | the_stack_v2_python_sparse | Sea/model/subsystems/SubsystemStructural.py | python-acoustics/Sea | train | 7 |
d97fedd04e7a93ed0210030a216a8f0fb2c59e7f | [
"super(SelfAttention, self).__init__()\nself.W = tf.keras.layers.Dense(units)\nself.U = tf.keras.layers.Dense(units)\nself.V = tf.keras.layers.Dense(1)",
"prev = self.W(tf.expand_dims(s_prev, 1))\nenc = self.U(hidden_states)\ne = self.V(tf.tanh(prev + enc))\nw = tf.nn.softmax(e, 1)\ncontext = w * hidden_states\nr... | <|body_start_0|>
super(SelfAttention, self).__init__()
self.W = tf.keras.layers.Dense(units)
self.U = tf.keras.layers.Dense(units)
self.V = tf.keras.layers.Dense(1)
<|end_body_0|>
<|body_start_1|>
prev = self.W(tf.expand_dims(s_prev, 1))
enc = self.U(hidden_states)
... | Self Attention | SelfAttention | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SelfAttention:
"""Self Attention"""
def __init__(self, units):
"""Self Attention"""
<|body_0|>
def call(self, s_prev, hidden_states):
"""Self Attention"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(SelfAttention, self).__init__()
... | stack_v2_sparse_classes_75kplus_train_073013 | 702 | no_license | [
{
"docstring": "Self Attention",
"name": "__init__",
"signature": "def __init__(self, units)"
},
{
"docstring": "Self Attention",
"name": "call",
"signature": "def call(self, s_prev, hidden_states)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042421 | Implement the Python class `SelfAttention` described below.
Class description:
Self Attention
Method signatures and docstrings:
- def __init__(self, units): Self Attention
- def call(self, s_prev, hidden_states): Self Attention | Implement the Python class `SelfAttention` described below.
Class description:
Self Attention
Method signatures and docstrings:
- def __init__(self, units): Self Attention
- def call(self, s_prev, hidden_states): Self Attention
<|skeleton|>
class SelfAttention:
"""Self Attention"""
def __init__(self, units)... | 8761eb876046ad3c0c3f85d98dbdca4007d93cd1 | <|skeleton|>
class SelfAttention:
"""Self Attention"""
def __init__(self, units):
"""Self Attention"""
<|body_0|>
def call(self, s_prev, hidden_states):
"""Self Attention"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SelfAttention:
"""Self Attention"""
def __init__(self, units):
"""Self Attention"""
super(SelfAttention, self).__init__()
self.W = tf.keras.layers.Dense(units)
self.U = tf.keras.layers.Dense(units)
self.V = tf.keras.layers.Dense(1)
def call(self, s_prev, hidde... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/1-self_attention.py | oran2527/holbertonschool-machine_learning | train | 0 |
43aaa4b2145b3da7f091f25e95d895d1019ec755 | [
"pygame.init()\nself.surface = pygame.display.set_mode((800, 600))\nself.running = True\nself.step_count = 0\nself.ship = Ship(pygame.Vector2(self.surface.get_size()) / 2)",
"clock = pygame.time.Clock()\nwhile self.running:\n self.step()\n clock.tick(60)",
"self.handle_events()\nself.handle_keyboard_event... | <|body_start_0|>
pygame.init()
self.surface = pygame.display.set_mode((800, 600))
self.running = True
self.step_count = 0
self.ship = Ship(pygame.Vector2(self.surface.get_size()) / 2)
<|end_body_0|>
<|body_start_1|>
clock = pygame.time.Clock()
while self.running:... | MyGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyGame:
def __init__(self):
"""Initalizes the Game"""
<|body_0|>
def run(self):
"""Runs the Game until it ends"""
<|body_1|>
def step(self):
"""Moves Game one step forward"""
<|body_2|>
def handle_events(self):
"""Handles eve... | stack_v2_sparse_classes_75kplus_train_073014 | 2,306 | no_license | [
{
"docstring": "Initalizes the Game",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Runs the Game until it ends",
"name": "run",
"signature": "def run(self)"
},
{
"docstring": "Moves Game one step forward",
"name": "step",
"signature": "def step... | 6 | stack_v2_sparse_classes_30k_train_022069 | Implement the Python class `MyGame` described below.
Class description:
Implement the MyGame class.
Method signatures and docstrings:
- def __init__(self): Initalizes the Game
- def run(self): Runs the Game until it ends
- def step(self): Moves Game one step forward
- def handle_events(self): Handles events
- def han... | Implement the Python class `MyGame` described below.
Class description:
Implement the MyGame class.
Method signatures and docstrings:
- def __init__(self): Initalizes the Game
- def run(self): Runs the Game until it ends
- def step(self): Moves Game one step forward
- def handle_events(self): Handles events
- def han... | dd8fec6f71b18aaa4a78e26a4afefc8c70327093 | <|skeleton|>
class MyGame:
def __init__(self):
"""Initalizes the Game"""
<|body_0|>
def run(self):
"""Runs the Game until it ends"""
<|body_1|>
def step(self):
"""Moves Game one step forward"""
<|body_2|>
def handle_events(self):
"""Handles eve... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyGame:
def __init__(self):
"""Initalizes the Game"""
pygame.init()
self.surface = pygame.display.set_mode((800, 600))
self.running = True
self.step_count = 0
self.ship = Ship(pygame.Vector2(self.surface.get_size()) / 2)
def run(self):
"""Runs the G... | the_stack_v2_python_sparse | MyGame_ship.py | bterwijn/python | train | 0 | |
8e32b9ebbca8c15b646710a0284c3753bee7761d | [
"threading.Thread.__init__(self, group=group, target=target, name=name, verbose=verbose)\nself.daemon = True\nself.target = target\nself.args = args\nself.kwargs = kwargs\nself.exception_queue = exception_queue\nself.result_queue = return_queue",
"try:\n retval = self.target(*self.args, **self.kwargs)\n if ... | <|body_start_0|>
threading.Thread.__init__(self, group=group, target=target, name=name, verbose=verbose)
self.daemon = True
self.target = target
self.args = args
self.kwargs = kwargs
self.exception_queue = exception_queue
self.result_queue = return_queue
<|end_bod... | Daemon Thread wrapper to execute long-running processes | WorkerThread | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkerThread:
"""Daemon Thread wrapper to execute long-running processes"""
def __init__(self, exception_queue, return_queue=None, group=None, target=None, name=None, args=(), kwargs={}, verbose=None):
"""Standard Thread API with the addition of Queues for passing Exceptions and retu... | stack_v2_sparse_classes_75kplus_train_073015 | 1,490 | permissive | [
{
"docstring": "Standard Thread API with the addition of Queues for passing Exceptions and return values.",
"name": "__init__",
"signature": "def __init__(self, exception_queue, return_queue=None, group=None, target=None, name=None, args=(), kwargs={}, verbose=None)"
},
{
"docstring": "Runs the ... | 2 | null | Implement the Python class `WorkerThread` described below.
Class description:
Daemon Thread wrapper to execute long-running processes
Method signatures and docstrings:
- def __init__(self, exception_queue, return_queue=None, group=None, target=None, name=None, args=(), kwargs={}, verbose=None): Standard Thread API wi... | Implement the Python class `WorkerThread` described below.
Class description:
Daemon Thread wrapper to execute long-running processes
Method signatures and docstrings:
- def __init__(self, exception_queue, return_queue=None, group=None, target=None, name=None, args=(), kwargs={}, verbose=None): Standard Thread API wi... | f7a0a642b4a778d9d0c131871f4bfb9822ecb3da | <|skeleton|>
class WorkerThread:
"""Daemon Thread wrapper to execute long-running processes"""
def __init__(self, exception_queue, return_queue=None, group=None, target=None, name=None, args=(), kwargs={}, verbose=None):
"""Standard Thread API with the addition of Queues for passing Exceptions and retu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WorkerThread:
"""Daemon Thread wrapper to execute long-running processes"""
def __init__(self, exception_queue, return_queue=None, group=None, target=None, name=None, args=(), kwargs={}, verbose=None):
"""Standard Thread API with the addition of Queues for passing Exceptions and return values."""... | the_stack_v2_python_sparse | models/workerthread.py | endymecy/NDIToolbox | train | 0 |
2fee95e03bf8acb9aaf31a09fbfd873f737f3553 | [
"text = TextBlob(text)\nresult = text.sentiment\nreturn (result[0], result[1])",
"txt = pd.Series(textSeries)\ntxt = txt.map(self.__mapfun)\ntxt = txt.apply(pd.Series)\ntxt.columns = ['polar', 'subj']\nreturn txt"
] | <|body_start_0|>
text = TextBlob(text)
result = text.sentiment
return (result[0], result[1])
<|end_body_0|>
<|body_start_1|>
txt = pd.Series(textSeries)
txt = txt.map(self.__mapfun)
txt = txt.apply(pd.Series)
txt.columns = ['polar', 'subj']
return txt
<|e... | Textblob | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Textblob:
def __mapfun(self, text):
"""text: string"""
<|body_0|>
def fit(self, textSeries):
"""Input: list/tuple/pandas.Series [sentence, sentence, ...] Output: dataframe with column name "polar", "subj" Explanation of output: (1) The polarity score is a float withi... | stack_v2_sparse_classes_75kplus_train_073016 | 2,696 | no_license | [
{
"docstring": "text: string",
"name": "__mapfun",
"signature": "def __mapfun(self, text)"
},
{
"docstring": "Input: list/tuple/pandas.Series [sentence, sentence, ...] Output: dataframe with column name \"polar\", \"subj\" Explanation of output: (1) The polarity score is a float within the range... | 2 | stack_v2_sparse_classes_30k_train_036842 | Implement the Python class `Textblob` described below.
Class description:
Implement the Textblob class.
Method signatures and docstrings:
- def __mapfun(self, text): text: string
- def fit(self, textSeries): Input: list/tuple/pandas.Series [sentence, sentence, ...] Output: dataframe with column name "polar", "subj" E... | Implement the Python class `Textblob` described below.
Class description:
Implement the Textblob class.
Method signatures and docstrings:
- def __mapfun(self, text): text: string
- def fit(self, textSeries): Input: list/tuple/pandas.Series [sentence, sentence, ...] Output: dataframe with column name "polar", "subj" E... | 1a3d46cee9bc8cae79e076d6336de5de9fb7427b | <|skeleton|>
class Textblob:
def __mapfun(self, text):
"""text: string"""
<|body_0|>
def fit(self, textSeries):
"""Input: list/tuple/pandas.Series [sentence, sentence, ...] Output: dataframe with column name "polar", "subj" Explanation of output: (1) The polarity score is a float withi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Textblob:
def __mapfun(self, text):
"""text: string"""
text = TextBlob(text)
result = text.sentiment
return (result[0], result[1])
def fit(self, textSeries):
"""Input: list/tuple/pandas.Series [sentence, sentence, ...] Output: dataframe with column name "polar", "s... | the_stack_v2_python_sparse | scripts/_sentiment/auto_sentiment_app/brexit_sentiment.py | my2582/gep | train | 0 | |
def8241afc73f7e548820095bd53677ce7ebe87e | [
"self.converter = UnitConverter(base_system='SI', base_unit='meter')\nself.quantities = [{'system': 'SI', 'unit': 'furlong', 'value': 1, 'date_obj': '2020-07-22'}, {'system': 'SI', 'unit': 'yard', 'value': 1, 'date_obj': '2020-07-22'}]\nself.trash_quantities = [{'system': 'si', 'unit': 'trop', 'value': 100, 'date_o... | <|body_start_0|>
self.converter = UnitConverter(base_system='SI', base_unit='meter')
self.quantities = [{'system': 'SI', 'unit': 'furlong', 'value': 1, 'date_obj': '2020-07-22'}, {'system': 'SI', 'unit': 'yard', 'value': 1, 'date_obj': '2020-07-22'}]
self.trash_quantities = [{'system': 'si', 'un... | Test UnitConverter API object | UnitConverterAPITest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnitConverterAPITest:
"""Test UnitConverter API object"""
def setUp(self) -> None:
"""Setup environment"""
<|body_0|>
def test_convert_request(self):
"""Test conversion API"""
<|body_1|>
def test_convert_batch_request(self):
"""Test batch con... | stack_v2_sparse_classes_75kplus_train_073017 | 38,680 | permissive | [
{
"docstring": "Setup environment",
"name": "setUp",
"signature": "def setUp(self) -> None"
},
{
"docstring": "Test conversion API",
"name": "test_convert_request",
"signature": "def test_convert_request(self)"
},
{
"docstring": "Test batch conversion",
"name": "test_convert_... | 4 | null | Implement the Python class `UnitConverterAPITest` described below.
Class description:
Test UnitConverter API object
Method signatures and docstrings:
- def setUp(self) -> None: Setup environment
- def test_convert_request(self): Test conversion API
- def test_convert_batch_request(self): Test batch conversion
- def t... | Implement the Python class `UnitConverterAPITest` described below.
Class description:
Test UnitConverter API object
Method signatures and docstrings:
- def setUp(self) -> None: Setup environment
- def test_convert_request(self): Test conversion API
- def test_convert_batch_request(self): Test batch conversion
- def t... | 23cc075377d47ac631634cd71fd0e7d6b0a57bad | <|skeleton|>
class UnitConverterAPITest:
"""Test UnitConverter API object"""
def setUp(self) -> None:
"""Setup environment"""
<|body_0|>
def test_convert_request(self):
"""Test conversion API"""
<|body_1|>
def test_convert_batch_request(self):
"""Test batch con... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnitConverterAPITest:
"""Test UnitConverter API object"""
def setUp(self) -> None:
"""Setup environment"""
self.converter = UnitConverter(base_system='SI', base_unit='meter')
self.quantities = [{'system': 'SI', 'unit': 'furlong', 'value': 1, 'date_obj': '2020-07-22'}, {'system': '... | the_stack_v2_python_sparse | src/geocurrency/units/tests.py | fmeurou/geocurrency | train | 5 |
b5692fb5126b65de5010d6a5108908db7877eb19 | [
"self.resolve = resolve\nself.args = args\nself.kwargs = kwargs\nif factory is not None:\n self.set_default_value_mode(DefaultValue.CallObject, factory)\nelif args is not None or kwargs is not None:\n mode = DefaultValue.MemberMethod_Object\n self.set_default_value_mode(mode, 'default')\nelif optional is F... | <|body_start_0|>
self.resolve = resolve
self.args = args
self.kwargs = kwargs
if factory is not None:
self.set_default_value_mode(DefaultValue.CallObject, factory)
elif args is not None or kwargs is not None:
mode = DefaultValue.MemberMethod_Object
... | An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance. | ForwardInstance | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ForwardInstance:
"""An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance."""
def __init__(self, resolve, args=None, kwargs=None, *, factory=Non... | stack_v2_sparse_classes_75kplus_train_073018 | 7,418 | permissive | [
{
"docstring": "Initialize a ForwardInstance. resolve : callable A callable which takes no arguments and returns the type or tuple of types to use for validating the values. args : tuple, optional If 'factory' is None, then 'resolve' will return a callable type and these arguments will be passed to the construc... | 4 | stack_v2_sparse_classes_30k_train_045982 | Implement the Python class `ForwardInstance` described below.
Class description:
An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance.
Method signatures and docstrings:
... | Implement the Python class `ForwardInstance` described below.
Class description:
An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance.
Method signatures and docstrings:
... | 761a52821d8c77b5718216256963682d11599c1e | <|skeleton|>
class ForwardInstance:
"""An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance."""
def __init__(self, resolve, args=None, kwargs=None, *, factory=Non... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ForwardInstance:
"""An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance."""
def __init__(self, resolve, args=None, kwargs=None, *, factory=None, optional=N... | the_stack_v2_python_sparse | atom/instance.py | nucleic/atom | train | 251 |
d2cc412e30fb8ab6432776ebfa83e70e630a5bec | [
"self.cv = cv\nself.age = 0\nself.particles = []",
"self.age += dt\nfor p in self.particles:\n p.update(dt)\nfor i in range(len(self.particles) - 1, -1, -1):\n if not self.particles[i].alive():\n del self.particles[i]"
] | <|body_start_0|>
self.cv = cv
self.age = 0
self.particles = []
<|end_body_0|>
<|body_start_1|>
self.age += dt
for p in self.particles:
p.update(dt)
for i in range(len(self.particles) - 1, -1, -1):
if not self.particles[i].alive():
... | Generic class for fireworks. The main "behavior" of a fireworks is specified via its update method. E.g., new particles can be emitted and added to the particle list. The Fireworks base class automatically updates all particles from the particle list in its update method. Attributes: cv (Tk.canvas): the canvas in which... | Fireworks | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Fireworks:
"""Generic class for fireworks. The main "behavior" of a fireworks is specified via its update method. E.g., new particles can be emitted and added to the particle list. The Fireworks base class automatically updates all particles from the particle list in its update method. Attributes... | stack_v2_sparse_classes_75kplus_train_073019 | 16,427 | permissive | [
{
"docstring": "Init Fireworks objects. Args: cv (Tk.canvas): the canvas in which the particle is drawn.",
"name": "__init__",
"signature": "def __init__(self, cv=None)"
},
{
"docstring": "Update the fireworks' particles and remove dead ones. Args: dt (float): the time that has passed after the ... | 2 | stack_v2_sparse_classes_30k_train_007780 | Implement the Python class `Fireworks` described below.
Class description:
Generic class for fireworks. The main "behavior" of a fireworks is specified via its update method. E.g., new particles can be emitted and added to the particle list. The Fireworks base class automatically updates all particles from the particl... | Implement the Python class `Fireworks` described below.
Class description:
Generic class for fireworks. The main "behavior" of a fireworks is specified via its update method. E.g., new particles can be emitted and added to the particle list. The Fireworks base class automatically updates all particles from the particl... | c6b6d80e9d59f5d115ca8b8fc020fcd6cb030af8 | <|skeleton|>
class Fireworks:
"""Generic class for fireworks. The main "behavior" of a fireworks is specified via its update method. E.g., new particles can be emitted and added to the particle list. The Fireworks base class automatically updates all particles from the particle list in its update method. Attributes... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Fireworks:
"""Generic class for fireworks. The main "behavior" of a fireworks is specified via its update method. E.g., new particles can be emitted and added to the particle list. The Fireworks base class automatically updates all particles from the particle list in its update method. Attributes: cv (Tk.canv... | the_stack_v2_python_sparse | scripts/sheet9/9.2.py | LennartElbe/PythOnline | train | 0 |
082d127377253de077469e704d5fff2dde4b68c6 | [
"d = {i: i ** 2 for i in range(0, 10)}\nrecord = [n]\nwhile n != 1:\n new_n = 0\n while n != 0:\n new_n += d[n % 10]\n n //= 10\n if new_n in record:\n return False\n else:\n record.append(new_n)\n n = new_n\nreturn True",
"def new_number(n):\n total = 0\n whil... | <|body_start_0|>
d = {i: i ** 2 for i in range(0, 10)}
record = [n]
while n != 1:
new_n = 0
while n != 0:
new_n += d[n % 10]
n //= 10
if new_n in record:
return False
else:
record.appe... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isHappy(self, n):
""":type n: int :rtype: bool"""
<|body_0|>
def isHappy2(self, n):
""":type n: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
d = {i: i ** 2 for i in range(0, 10)}
record = [n]
while n... | stack_v2_sparse_classes_75kplus_train_073020 | 1,123 | no_license | [
{
"docstring": ":type n: int :rtype: bool",
"name": "isHappy",
"signature": "def isHappy(self, n)"
},
{
"docstring": ":type n: int :rtype: bool",
"name": "isHappy2",
"signature": "def isHappy2(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027124 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isHappy(self, n): :type n: int :rtype: bool
- def isHappy2(self, n): :type n: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isHappy(self, n): :type n: int :rtype: bool
- def isHappy2(self, n): :type n: int :rtype: bool
<|skeleton|>
class Solution:
def isHappy(self, n):
""":type n: in... | ac53dd9bf2c4c9d17c9dc5f7fdda32e386658fdd | <|skeleton|>
class Solution:
def isHappy(self, n):
""":type n: int :rtype: bool"""
<|body_0|>
def isHappy2(self, n):
""":type n: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isHappy(self, n):
""":type n: int :rtype: bool"""
d = {i: i ** 2 for i in range(0, 10)}
record = [n]
while n != 1:
new_n = 0
while n != 0:
new_n += d[n % 10]
n //= 10
if new_n in record:
... | the_stack_v2_python_sparse | random/happy_number.py | hwc1824/LeetCodeSolution | train | 0 | |
ad29a7a2706ac1cc9c52a7c09ebadcc8163ae510 | [
"self.strategy = strategy\nif opponents is None:\n self.opponents = [axl.Random(p) for p in np.linspace(0, 1, number_of_opponents)]\nelse:\n self.opponents = opponents",
"if isinstance(self.strategy, axl.Player):\n players = [self.strategy] + self.opponents\nelse:\n players = [self.strategy()] + self.... | <|body_start_0|>
self.strategy = strategy
if opponents is None:
self.opponents = [axl.Random(p) for p in np.linspace(0, 1, number_of_opponents)]
else:
self.opponents = opponents
<|end_body_0|>
<|body_start_1|>
if isinstance(self.strategy, axl.Player):
... | TransitiveFingerprint | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransitiveFingerprint:
def __init__(self, strategy, opponents=None, number_of_opponents=50):
"""Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a lis... | stack_v2_sparse_classes_75kplus_train_073021 | 20,808 | permissive | [
{
"docstring": "Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a list of opponents Default: A spectrum of Random players number_of_opponents: int The number of Random oppon... | 4 | stack_v2_sparse_classes_30k_train_027082 | Implement the Python class `TransitiveFingerprint` described below.
Class description:
Implement the TransitiveFingerprint class.
Method signatures and docstrings:
- def __init__(self, strategy, opponents=None, number_of_opponents=50): Parameters ---------- strategy : class or instance A class that must be descended ... | Implement the Python class `TransitiveFingerprint` described below.
Class description:
Implement the TransitiveFingerprint class.
Method signatures and docstrings:
- def __init__(self, strategy, opponents=None, number_of_opponents=50): Parameters ---------- strategy : class or instance A class that must be descended ... | fa748627cd4f0333bb2dbfcb1454372a78a9098a | <|skeleton|>
class TransitiveFingerprint:
def __init__(self, strategy, opponents=None, number_of_opponents=50):
"""Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a lis... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransitiveFingerprint:
def __init__(self, strategy, opponents=None, number_of_opponents=50):
"""Parameters ---------- strategy : class or instance A class that must be descended from axelrod.Player or an instance of axelrod.Player. opponents : list of instances A list that contains a list of opponents... | the_stack_v2_python_sparse | axelrod/fingerprint.py | Axelrod-Python/Axelrod | train | 673 | |
774819ae7af583f56ac5f7ed21816ecefded6cba | [
"self.baseurl = 'https://www.billboard.com/charts/'\nself.URL = self.baseurl + URL\nself.soup = self.get_soup()\nself.chart = []\nself.chart_name = ''\nself.get_name_of_chart()\nself.get_chart()\nself.replace_symbols()",
"response = requests.get(self.URL)\nsoup = BeautifulSoup(response.text, 'html.parser')\nretur... | <|body_start_0|>
self.baseurl = 'https://www.billboard.com/charts/'
self.URL = self.baseurl + URL
self.soup = self.get_soup()
self.chart = []
self.chart_name = ''
self.get_name_of_chart()
self.get_chart()
self.replace_symbols()
<|end_body_0|>
<|body_start... | Class to store billboard charts. | BillboardIE | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BillboardIE:
"""Class to store billboard charts."""
def __init__(self, URL):
"""Initiate the basic stuff."""
<|body_0|>
def get_soup(self):
"""Return the soup for the response."""
<|body_1|>
def replace_symbols(self):
"""Replace symbols like ... | stack_v2_sparse_classes_75kplus_train_073022 | 5,227 | permissive | [
{
"docstring": "Initiate the basic stuff.",
"name": "__init__",
"signature": "def __init__(self, URL)"
},
{
"docstring": "Return the soup for the response.",
"name": "get_soup",
"signature": "def get_soup(self)"
},
{
"docstring": "Replace symbols like & with &",
"name": "r... | 5 | stack_v2_sparse_classes_30k_train_018249 | Implement the Python class `BillboardIE` described below.
Class description:
Class to store billboard charts.
Method signatures and docstrings:
- def __init__(self, URL): Initiate the basic stuff.
- def get_soup(self): Return the soup for the response.
- def replace_symbols(self): Replace symbols like & with &
- d... | Implement the Python class `BillboardIE` described below.
Class description:
Class to store billboard charts.
Method signatures and docstrings:
- def __init__(self, URL): Initiate the basic stuff.
- def get_soup(self): Return the soup for the response.
- def replace_symbols(self): Replace symbols like & with &
- d... | 9050f0c5f9fef7b9c9b14a7f26a055684e260d4c | <|skeleton|>
class BillboardIE:
"""Class to store billboard charts."""
def __init__(self, URL):
"""Initiate the basic stuff."""
<|body_0|>
def get_soup(self):
"""Return the soup for the response."""
<|body_1|>
def replace_symbols(self):
"""Replace symbols like ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BillboardIE:
"""Class to store billboard charts."""
def __init__(self, URL):
"""Initiate the basic stuff."""
self.baseurl = 'https://www.billboard.com/charts/'
self.URL = self.baseurl + URL
self.soup = self.get_soup()
self.chart = []
self.chart_name = ''
... | the_stack_v2_python_sparse | playx/playlist/billboard.py | NISH1001/playx | train | 229 |
a9ae5737be86447d65aa330a9d86e17a84683af3 | [
"user = self.ss.get_user()\ngroups = list(self.gs.list(user))\nreturn groups",
"v = Validator(group_schema)\nargs = v.validated(request.get_json())\nif args is None:\n return ApiResponse(status=4001, errors=v.errors)\nname = args.get(u'name')\ndescription = args.get(u'description', u'')\nuser = self.ss.get_use... | <|body_start_0|>
user = self.ss.get_user()
groups = list(self.gs.list(user))
return groups
<|end_body_0|>
<|body_start_1|>
v = Validator(group_schema)
args = v.validated(request.get_json())
if args is None:
return ApiResponse(status=4001, errors=v.errors)
... | GroupsAPI | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroupsAPI:
def get(self):
"""Return groups by user. :return:"""
<|body_0|>
def post(self):
"""Create new group :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user = self.ss.get_user()
groups = list(self.gs.list(user))
retur... | stack_v2_sparse_classes_75kplus_train_073023 | 3,884 | permissive | [
{
"docstring": "Return groups by user. :return:",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Create new group :return:",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021755 | Implement the Python class `GroupsAPI` described below.
Class description:
Implement the GroupsAPI class.
Method signatures and docstrings:
- def get(self): Return groups by user. :return:
- def post(self): Create new group :return: | Implement the Python class `GroupsAPI` described below.
Class description:
Implement the GroupsAPI class.
Method signatures and docstrings:
- def get(self): Return groups by user. :return:
- def post(self): Create new group :return:
<|skeleton|>
class GroupsAPI:
def get(self):
"""Return groups by user. ... | 9a336d1e467d08c6b3875bd8b83dea0dc3b9236d | <|skeleton|>
class GroupsAPI:
def get(self):
"""Return groups by user. :return:"""
<|body_0|>
def post(self):
"""Create new group :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GroupsAPI:
def get(self):
"""Return groups by user. :return:"""
user = self.ss.get_user()
groups = list(self.gs.list(user))
return groups
def post(self):
"""Create new group :return:"""
v = Validator(group_schema)
args = v.validated(request.get_json... | the_stack_v2_python_sparse | we-web/api/resources/groups/groups.py | avatar29A/wordeater-web | train | 0 | |
fbb76fddb17bdf935ccb515f2bad2025f2391a9e | [
"self.comm = comm\nself.model = model\nself.auto_copy = auto_copy\nif auto_copy:\n self.copy_aero_mesh()\nreturn",
"for body in self.model.bodies:\n aero_id = np.arange(1, body.get_num_struct_nodes() + 1)\n body.initialize_aero_nodes(body.struct_X, aero_id)\nreturn self"
] | <|body_start_0|>
self.comm = comm
self.model = model
self.auto_copy = auto_copy
if auto_copy:
self.copy_aero_mesh()
return
<|end_body_0|>
<|body_start_1|>
for body in self.model.bodies:
aero_id = np.arange(1, body.get_num_struct_nodes() + 1)
... | NullAerodynamicSolver | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NullAerodynamicSolver:
def __init__(self, comm, model, auto_copy=False):
"""This class provides the functionality that FUNtoFEM expects from an aerodynamic solver, except no aerodynamics is performed here. All solver interface routines we just do nothing and those methods come from the s... | stack_v2_sparse_classes_75kplus_train_073024 | 45,431 | permissive | [
{
"docstring": "This class provides the functionality that FUNtoFEM expects from an aerodynamic solver, except no aerodynamics is performed here. All solver interface routines we just do nothing and those methods come from the super class SolverInterface Parameters ---------- comm: MPI.comm MPI communicator mod... | 2 | stack_v2_sparse_classes_30k_val_001356 | Implement the Python class `NullAerodynamicSolver` described below.
Class description:
Implement the NullAerodynamicSolver class.
Method signatures and docstrings:
- def __init__(self, comm, model, auto_copy=False): This class provides the functionality that FUNtoFEM expects from an aerodynamic solver, except no aero... | Implement the Python class `NullAerodynamicSolver` described below.
Class description:
Implement the NullAerodynamicSolver class.
Method signatures and docstrings:
- def __init__(self, comm, model, auto_copy=False): This class provides the functionality that FUNtoFEM expects from an aerodynamic solver, except no aero... | 4c11b61397100f9d8b455f7d20cf3b507a15c1e9 | <|skeleton|>
class NullAerodynamicSolver:
def __init__(self, comm, model, auto_copy=False):
"""This class provides the functionality that FUNtoFEM expects from an aerodynamic solver, except no aerodynamics is performed here. All solver interface routines we just do nothing and those methods come from the s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NullAerodynamicSolver:
def __init__(self, comm, model, auto_copy=False):
"""This class provides the functionality that FUNtoFEM expects from an aerodynamic solver, except no aerodynamics is performed here. All solver interface routines we just do nothing and those methods come from the super class Sol... | the_stack_v2_python_sparse | funtofem/interface/test_solver.py | gjkennedy/funtofem | train | 0 | |
c8ab4efd3f76e2b0359f75a4be966b6860ce7052 | [
"if len(s) < len(p):\n return\nret = []\nwindow_length = len(p)\ntarget = list(p)\ntarget.sort()\nfor i in range(len(s) - len(p) + 1):\n buffer = list(s[i:window_length])\n buffer.sort()\n if buffer == target:\n ret.append(i)\nreturn ret",
"length_s = len(s)\nlength_p = len(p)\nif length_p > le... | <|body_start_0|>
if len(s) < len(p):
return
ret = []
window_length = len(p)
target = list(p)
target.sort()
for i in range(len(s) - len(p) + 1):
buffer = list(s[i:window_length])
buffer.sort()
if buffer == target:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findAnagrams1(self, s, p):
""":type s: str :type p: str :rtype: List[int]"""
<|body_0|>
def findAnagrams(self, s, p):
""":type s: str :type p: str :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) < len(p):
... | stack_v2_sparse_classes_75kplus_train_073025 | 1,402 | no_license | [
{
"docstring": ":type s: str :type p: str :rtype: List[int]",
"name": "findAnagrams1",
"signature": "def findAnagrams1(self, s, p)"
},
{
"docstring": ":type s: str :type p: str :rtype: List[int]",
"name": "findAnagrams",
"signature": "def findAnagrams(self, s, p)"
}
] | 2 | stack_v2_sparse_classes_30k_train_045957 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findAnagrams1(self, s, p): :type s: str :type p: str :rtype: List[int]
- def findAnagrams(self, s, p): :type s: str :type p: str :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findAnagrams1(self, s, p): :type s: str :type p: str :rtype: List[int]
- def findAnagrams(self, s, p): :type s: str :type p: str :rtype: List[int]
<|skeleton|>
class Solutio... | 70bdd75b6af2e1811c1beab22050c01d28d7373e | <|skeleton|>
class Solution:
def findAnagrams1(self, s, p):
""":type s: str :type p: str :rtype: List[int]"""
<|body_0|>
def findAnagrams(self, s, p):
""":type s: str :type p: str :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findAnagrams1(self, s, p):
""":type s: str :type p: str :rtype: List[int]"""
if len(s) < len(p):
return
ret = []
window_length = len(p)
target = list(p)
target.sort()
for i in range(len(s) - len(p) + 1):
buffer = lis... | the_stack_v2_python_sparse | python/leetcode/438_Find_All_Anagrams_in_a_String.py | bobcaoge/my-code | train | 0 | |
a388a3252656e046f945c827b53f38990382404e | [
"def encode_extra_types(obj):\n \"\"\"MessagePack hook to serialize extra types.\n\n The recipe took from the MessagePack for Python docs:\n https://github.com/msgpack/msgpack-python#packingunpacking-of-custom-data-type\n\n Supported types:\n - Django models (through `... | <|body_start_0|>
def encode_extra_types(obj):
"""MessagePack hook to serialize extra types.
The recipe took from the MessagePack for Python docs:
https://github.com/msgpack/msgpack-python#packingunpacking-of-custom-data-type
Supported typ... | Serialize/deserialize Python collection with Django models. Serialize/deserialize the data with the MessagePack like Redis Channels layer backend does. If `data` contains Django models, then it is serialized by the Django serialization utilities. For details see: Django serialization: https://docs.djangoproject.com/en/... | Serializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Serializer:
"""Serialize/deserialize Python collection with Django models. Serialize/deserialize the data with the MessagePack like Redis Channels layer backend does. If `data` contains Django models, then it is serialized by the Django serialization utilities. For details see: Django serializati... | stack_v2_sparse_classes_75kplus_train_073026 | 3,850 | permissive | [
{
"docstring": "Serialize the `data`.",
"name": "serialize",
"signature": "def serialize(data)"
},
{
"docstring": "Deserialize the `data`.",
"name": "deserialize",
"signature": "def deserialize(data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027509 | Implement the Python class `Serializer` described below.
Class description:
Serialize/deserialize Python collection with Django models. Serialize/deserialize the data with the MessagePack like Redis Channels layer backend does. If `data` contains Django models, then it is serialized by the Django serialization utiliti... | Implement the Python class `Serializer` described below.
Class description:
Serialize/deserialize Python collection with Django models. Serialize/deserialize the data with the MessagePack like Redis Channels layer backend does. If `data` contains Django models, then it is serialized by the Django serialization utiliti... | 09a2ffdde45a1553abd09b5b3e595402b6e6c9b1 | <|skeleton|>
class Serializer:
"""Serialize/deserialize Python collection with Django models. Serialize/deserialize the data with the MessagePack like Redis Channels layer backend does. If `data` contains Django models, then it is serialized by the Django serialization utilities. For details see: Django serializati... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Serializer:
"""Serialize/deserialize Python collection with Django models. Serialize/deserialize the data with the MessagePack like Redis Channels layer backend does. If `data` contains Django models, then it is serialized by the Django serialization utilities. For details see: Django serialization: https://d... | the_stack_v2_python_sparse | channels_graphql_ws/serializer.py | datadvance/DjangoChannelsGraphqlWs | train | 295 |
a3fd91ef3ced8014301729403870f10640184137 | [
"global _modelInstances\nif not model in _modelInstances['core']:\n _instantiateCoreModel(model)\nreturn _modelInstances['core'][model]",
"global _modelInstances\nif not plugin in _modelInstances:\n _modelInstances[plugin] = {}\nif not model in _modelInstances[plugin]:\n _instantiatePluginModel(model, pl... | <|body_start_0|>
global _modelInstances
if not model in _modelInstances['core']:
_instantiateCoreModel(model)
return _modelInstances['core'][model]
<|end_body_0|>
<|body_start_1|>
global _modelInstances
if not plugin in _modelInstances:
_modelInstances[pl... | Any class that wants to have convenient model importing semantics should extend/mixin this class. | ModelImporter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelImporter:
"""Any class that wants to have convenient model importing semantics should extend/mixin this class."""
def model(self, model):
"""Call this to get the instance of the specified core model. It will be lazy-instantiated. :param model: The name of the model to get. This ... | stack_v2_sparse_classes_75kplus_train_073027 | 4,050 | permissive | [
{
"docstring": "Call this to get the instance of the specified core model. It will be lazy-instantiated. :param model: The name of the model to get. This is the module name, e.g. \"folder\". The class name must be the upper-camelcased version of that module name, e.g. \"Folder\". :type model: string :returns: T... | 2 | stack_v2_sparse_classes_30k_train_031056 | Implement the Python class `ModelImporter` described below.
Class description:
Any class that wants to have convenient model importing semantics should extend/mixin this class.
Method signatures and docstrings:
- def model(self, model): Call this to get the instance of the specified core model. It will be lazy-instan... | Implement the Python class `ModelImporter` described below.
Class description:
Any class that wants to have convenient model importing semantics should extend/mixin this class.
Method signatures and docstrings:
- def model(self, model): Call this to get the instance of the specified core model. It will be lazy-instan... | 7638feab8e36da59f3d211e5a62e625551841230 | <|skeleton|>
class ModelImporter:
"""Any class that wants to have convenient model importing semantics should extend/mixin this class."""
def model(self, model):
"""Call this to get the instance of the specified core model. It will be lazy-instantiated. :param model: The name of the model to get. This ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelImporter:
"""Any class that wants to have convenient model importing semantics should extend/mixin this class."""
def model(self, model):
"""Call this to get the instance of the specified core model. It will be lazy-instantiated. :param model: The name of the model to get. This is the module... | the_stack_v2_python_sparse | girder/utility/model_importer.py | ecohealthalliance/girder | train | 0 |
f38e175a330a0268d8c662c990eb0a69c70571b0 | [
"super().__init__()\nself.eps = torch.nn.Parameter(torch.as_tensor(seqm_parameters['scf_eps']), requires_grad=False)\nself.sp2 = seqm_parameters['sp2']\nself.scf_converger = seqm_parameters['scf_converger']\nif 'eig' in seqm_parameters:\n self.eig = seqm_parameters['eig']\nelse:\n self.eig = False\nif 'scf_ba... | <|body_start_0|>
super().__init__()
self.eps = torch.nn.Parameter(torch.as_tensor(seqm_parameters['scf_eps']), requires_grad=False)
self.sp2 = seqm_parameters['sp2']
self.scf_converger = seqm_parameters['scf_converger']
if 'eig' in seqm_parameters:
self.eig = seqm_par... | build the Hamiltonian | Hamiltonian | [
"MIT",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Hamiltonian:
"""build the Hamiltonian"""
def __init__(self, seqm_parameters):
"""Constructor"""
<|body_0|>
def forward(self, const, molsize, nHeavy, nHydro, nocc, Z, maskd, mask, atom_molid, pair_molid, idxi, idxj, ni, nj, xij, rij, parameters, P0=None):
"""SCF l... | stack_v2_sparse_classes_75kplus_train_073028 | 17,243 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, seqm_parameters)"
},
{
"docstring": "SCF loop const : Constants instance molsize : maximal number of atoms in each molecule nHeavy : number of heavy atoms in each molecule, shape (nmol,) nmol: number of molecules ... | 2 | stack_v2_sparse_classes_30k_train_015386 | Implement the Python class `Hamiltonian` described below.
Class description:
build the Hamiltonian
Method signatures and docstrings:
- def __init__(self, seqm_parameters): Constructor
- def forward(self, const, molsize, nHeavy, nHydro, nocc, Z, maskd, mask, atom_molid, pair_molid, idxi, idxj, ni, nj, xij, rij, parame... | Implement the Python class `Hamiltonian` described below.
Class description:
build the Hamiltonian
Method signatures and docstrings:
- def __init__(self, seqm_parameters): Constructor
- def forward(self, const, molsize, nHeavy, nHydro, nocc, Z, maskd, mask, atom_molid, pair_molid, idxi, idxj, ni, nj, xij, rij, parame... | dfda08400bb1328ce6cd45ac6b1dd3e7f9d7d4a6 | <|skeleton|>
class Hamiltonian:
"""build the Hamiltonian"""
def __init__(self, seqm_parameters):
"""Constructor"""
<|body_0|>
def forward(self, const, molsize, nHeavy, nHydro, nocc, Z, maskd, mask, atom_molid, pair_molid, idxi, idxj, ni, nj, xij, rij, parameters, P0=None):
"""SCF l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Hamiltonian:
"""build the Hamiltonian"""
def __init__(self, seqm_parameters):
"""Constructor"""
super().__init__()
self.eps = torch.nn.Parameter(torch.as_tensor(seqm_parameters['scf_eps']), requires_grad=False)
self.sp2 = seqm_parameters['sp2']
self.scf_converger =... | the_stack_v2_python_sparse | PYSEQM/seqm/basics.py | roehr-lab/SFast-Singlet-Fission-adiabatic-basis-screening | train | 2 |
cad77d75194aecad1a6f49f435f64f955baf7351 | [
"self.sock = sock\nself.db_lock = database_lock\nsuper().__init__()",
"main_commands.print_help()\nwhile True:\n command = input('Введите команду: ')\n if not main_commands.run(command, self):\n print('Команда не распознана. help - вывести поддерживаемые команды.')",
"if event == settings.get('even... | <|body_start_0|>
self.sock = sock
self.db_lock = database_lock
super().__init__()
<|end_body_0|>
<|body_start_1|>
main_commands.print_help()
while True:
command = input('Введите команду: ')
if not main_commands.run(command, self):
print('К... | Класс формировки и отправки сообщений на сервер и взаимодействия с пользователем. | ClientSender | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientSender:
"""Класс формировки и отправки сообщений на сервер и взаимодействия с пользователем."""
def __init__(self, sock):
"""Инициализация. Args: sock: сокет для работы миксина"""
<|body_0|>
def run(self):
"""Функция взаимодействия с пользователем, запрашив... | stack_v2_sparse_classes_75kplus_train_073029 | 14,995 | permissive | [
{
"docstring": "Инициализация. Args: sock: сокет для работы миксина",
"name": "__init__",
"signature": "def __init__(self, sock)"
},
{
"docstring": "Функция взаимодействия с пользователем, запрашивает команды, отправляет сообщения.",
"name": "run",
"signature": "def run(self)"
},
{
... | 3 | stack_v2_sparse_classes_30k_val_002785 | Implement the Python class `ClientSender` described below.
Class description:
Класс формировки и отправки сообщений на сервер и взаимодействия с пользователем.
Method signatures and docstrings:
- def __init__(self, sock): Инициализация. Args: sock: сокет для работы миксина
- def run(self): Функция взаимодействия с по... | Implement the Python class `ClientSender` described below.
Class description:
Класс формировки и отправки сообщений на сервер и взаимодействия с пользователем.
Method signatures and docstrings:
- def __init__(self, sock): Инициализация. Args: sock: сокет для работы миксина
- def run(self): Функция взаимодействия с по... | d83fe60bc20535adb969d72f52aaca5cf4b00c6b | <|skeleton|>
class ClientSender:
"""Класс формировки и отправки сообщений на сервер и взаимодействия с пользователем."""
def __init__(self, sock):
"""Инициализация. Args: sock: сокет для работы миксина"""
<|body_0|>
def run(self):
"""Функция взаимодействия с пользователем, запрашив... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClientSender:
"""Класс формировки и отправки сообщений на сервер и взаимодействия с пользователем."""
def __init__(self, sock):
"""Инициализация. Args: sock: сокет для работы миксина"""
self.sock = sock
self.db_lock = database_lock
super().__init__()
def run(self):
... | the_stack_v2_python_sparse | talkative_client/talkative_client/core.py | mom1/messager | train | 0 |
2bc532086adf661bb286f7ea080cf6021e120ad0 | [
"if not self.versions:\n return ''\nif language is None:\n try:\n language = c.lang\n except AttributeError:\n pass\nversion = self.get_version(language)\nif version is not None:\n return version.text\nversion = self.get_version(fallback)\nif version is not None:\n return version.text\n... | <|body_start_0|>
if not self.versions:
return ''
if language is None:
try:
language = c.lang
except AttributeError:
pass
version = self.get_version(language)
if version is not None:
return version.text
... | I18nText | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class I18nText:
def get_text(self, language=None, fallback='en'):
"""Get a text for a given language. If no language is specified, attempts to get it from context. Falls back to the given language or any other version. Returns empty string if no text is found."""
<|body_0|>
def se... | stack_v2_sparse_classes_75kplus_train_073030 | 5,283 | no_license | [
{
"docstring": "Get a text for a given language. If no language is specified, attempts to get it from context. Falls back to the given language or any other version. Returns empty string if no text is found.",
"name": "get_text",
"signature": "def get_text(self, language=None, fallback='en')"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_011401 | Implement the Python class `I18nText` described below.
Class description:
Implement the I18nText class.
Method signatures and docstrings:
- def get_text(self, language=None, fallback='en'): Get a text for a given language. If no language is specified, attempts to get it from context. Falls back to the given language ... | Implement the Python class `I18nText` described below.
Class description:
Implement the I18nText class.
Method signatures and docstrings:
- def get_text(self, language=None, fallback='en'): Get a text for a given language. If no language is specified, attempts to get it from context. Falls back to the given language ... | e1f55f155761d7b350893fc0badb70c9c51c4b2f | <|skeleton|>
class I18nText:
def get_text(self, language=None, fallback='en'):
"""Get a text for a given language. If no language is specified, attempts to get it from context. Falls back to the given language or any other version. Returns empty string if no text is found."""
<|body_0|>
def se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class I18nText:
def get_text(self, language=None, fallback='en'):
"""Get a text for a given language. If no language is specified, attempts to get it from context. Falls back to the given language or any other version. Returns empty string if no text is found."""
if not self.versions:
re... | the_stack_v2_python_sparse | src/ututi/model/i18n.py | Ututi/ututi | train | 0 | |
6fd1dbbaca8dc84007b0cecde498aff826d53f26 | [
"m, _ = torch.max(input, dim=1, keepdim=True)\ny = input - m\ny = torch.exp(y)\ny_cumsum_t2h = torch.flip(torch.cumsum(torch.flip(y, dims=[1]), dim=1), dims=[1])\nfd_output = torch.log(y_cumsum_t2h) + m\nctx.save_for_backward(input, fd_output)\nreturn fd_output",
"input, fd_output = ctx.saved_tensors\nbk_output =... | <|body_start_0|>
m, _ = torch.max(input, dim=1, keepdim=True)
y = input - m
y = torch.exp(y)
y_cumsum_t2h = torch.flip(torch.cumsum(torch.flip(y, dims=[1]), dim=1), dims=[1])
fd_output = torch.log(y_cumsum_t2h) + m
ctx.save_for_backward(input, fd_output)
return fd... | LogCumsumExp | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogCumsumExp:
def forward(ctx, input):
"""In the forward pass we receive a context object and a Tensor containing the input; we must return a Tensor containing the output, and we can use the context object to cache objects for use in the backward pass. Specifically, ctx is a context obje... | stack_v2_sparse_classes_75kplus_train_073031 | 12,276 | permissive | [
{
"docstring": "In the forward pass we receive a context object and a Tensor containing the input; we must return a Tensor containing the output, and we can use the context object to cache objects for use in the backward pass. Specifically, ctx is a context object that can be used to stash information for backw... | 2 | stack_v2_sparse_classes_30k_train_045688 | Implement the Python class `LogCumsumExp` described below.
Class description:
Implement the LogCumsumExp class.
Method signatures and docstrings:
- def forward(ctx, input): In the forward pass we receive a context object and a Tensor containing the input; we must return a Tensor containing the output, and we can use ... | Implement the Python class `LogCumsumExp` described below.
Class description:
Implement the LogCumsumExp class.
Method signatures and docstrings:
- def forward(ctx, input): In the forward pass we receive a context object and a Tensor containing the input; we must return a Tensor containing the output, and we can use ... | 4d56d5174c7ce4b15157d112083eb92e57288b04 | <|skeleton|>
class LogCumsumExp:
def forward(ctx, input):
"""In the forward pass we receive a context object and a Tensor containing the input; we must return a Tensor containing the output, and we can use the context object to cache objects for use in the backward pass. Specifically, ctx is a context obje... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LogCumsumExp:
def forward(ctx, input):
"""In the forward pass we receive a context object and a Tensor containing the input; we must return a Tensor containing the output, and we can use the context object to cache objects for use in the backward pass. Specifically, ctx is a context object that can be... | the_stack_v2_python_sparse | MultiDCP/models/loss_utils.py | qiaoliuhub/MultiDCP | train | 3 | |
8898b853696f7e96f1860bd7e80f846e10f1b7ef | [
"try:\n cid = ObjectId(comment_id)\nexcept Exception as e:\n LOGGER.exception(e)\n return ({'message': str(e)}, 400)\ndocument = model.Comment.find_one(id=cid)\nif document is None:\n LOGGER.exception('Error getting comment. Comment %s does not exist.', comment_id)\n return ({'message': 'Comment {} d... | <|body_start_0|>
try:
cid = ObjectId(comment_id)
except Exception as e:
LOGGER.exception(e)
return ({'message': str(e)}, 400)
document = model.Comment.find_one(id=cid)
if document is None:
LOGGER.exception('Error getting comment. Comment %s... | Comment | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Comment:
def get(self, comment_id):
"""@api {get} /comments/:comment_id/ Get comment by ID @apiName GetComment @apiGroup Comment @apiVersion 1.0.0 @apiParam {String} comment_id Comment ID. @apiSuccess {String} id Comment ID. @apiSuccess {String} event Event ID. @apiSuccess {String} text ... | stack_v2_sparse_classes_75kplus_train_073032 | 6,603 | permissive | [
{
"docstring": "@api {get} /comments/:comment_id/ Get comment by ID @apiName GetComment @apiGroup Comment @apiVersion 1.0.0 @apiParam {String} comment_id Comment ID. @apiSuccess {String} id Comment ID. @apiSuccess {String} event Event ID. @apiSuccess {String} text Comment content. @apiSuccess {String} created_b... | 2 | stack_v2_sparse_classes_30k_train_034447 | Implement the Python class `Comment` described below.
Class description:
Implement the Comment class.
Method signatures and docstrings:
- def get(self, comment_id): @api {get} /comments/:comment_id/ Get comment by ID @apiName GetComment @apiGroup Comment @apiVersion 1.0.0 @apiParam {String} comment_id Comment ID. @ap... | Implement the Python class `Comment` described below.
Class description:
Implement the Comment class.
Method signatures and docstrings:
- def get(self, comment_id): @api {get} /comments/:comment_id/ Get comment by ID @apiName GetComment @apiGroup Comment @apiVersion 1.0.0 @apiParam {String} comment_id Comment ID. @ap... | 9d85e592d9e9e998ef7de458034f36186105d027 | <|skeleton|>
class Comment:
def get(self, comment_id):
"""@api {get} /comments/:comment_id/ Get comment by ID @apiName GetComment @apiGroup Comment @apiVersion 1.0.0 @apiParam {String} comment_id Comment ID. @apiSuccess {String} id Comment ID. @apiSuccess {String} event Event ID. @apiSuccess {String} text ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Comment:
def get(self, comment_id):
"""@api {get} /comments/:comment_id/ Get comment by ID @apiName GetComment @apiGroup Comment @apiVersion 1.0.0 @apiParam {String} comment_id Comment ID. @apiSuccess {String} id Comment ID. @apiSuccess {String} event Event ID. @apiSuccess {String} text Comment conten... | the_stack_v2_python_sparse | mtv/resources/comment.py | dyuliu/MTV | train | 3 | |
0504df65a3bc42e0875a61d81ab44bb65e4eb089 | [
"Thread.__init__(self)\nself.name = name\nself.dice = dice.Dice()",
"print(self.name + ' has started...')\nself.dice.roll_dice()\nprint(self.name + ' has rolled ' + str(self.dice.face) + '.')"
] | <|body_start_0|>
Thread.__init__(self)
self.name = name
self.dice = dice.Dice()
<|end_body_0|>
<|body_start_1|>
print(self.name + ' has started...')
self.dice.roll_dice()
print(self.name + ' has rolled ' + str(self.dice.face) + '.')
<|end_body_1|>
| Thread which rolls a dice. | ThreadDice | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreadDice:
"""Thread which rolls a dice."""
def __init__(self, name):
"""Constructor of the dice thread."""
<|body_0|>
def run(self):
"""Method which rolls and prints the dice."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
Thread.__init__(sel... | stack_v2_sparse_classes_75kplus_train_073033 | 634 | no_license | [
{
"docstring": "Constructor of the dice thread.",
"name": "__init__",
"signature": "def __init__(self, name)"
},
{
"docstring": "Method which rolls and prints the dice.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | null | Implement the Python class `ThreadDice` described below.
Class description:
Thread which rolls a dice.
Method signatures and docstrings:
- def __init__(self, name): Constructor of the dice thread.
- def run(self): Method which rolls and prints the dice. | Implement the Python class `ThreadDice` described below.
Class description:
Thread which rolls a dice.
Method signatures and docstrings:
- def __init__(self, name): Constructor of the dice thread.
- def run(self): Method which rolls and prints the dice.
<|skeleton|>
class ThreadDice:
"""Thread which rolls a dice... | 7b3c92c151266cd3ccdd63e7dc0a37f7a60476fa | <|skeleton|>
class ThreadDice:
"""Thread which rolls a dice."""
def __init__(self, name):
"""Constructor of the dice thread."""
<|body_0|>
def run(self):
"""Method which rolls and prints the dice."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThreadDice:
"""Thread which rolls a dice."""
def __init__(self, name):
"""Constructor of the dice thread."""
Thread.__init__(self)
self.name = name
self.dice = dice.Dice()
def run(self):
"""Method which rolls and prints the dice."""
print(self.name + '... | the_stack_v2_python_sparse | Laboratory 8/problem2/thread.py | BabyCakes13/Python-Treasure | train | 0 |
a9087b65716883c808ef5cf054a9efd232692fe0 | [
"super().__init__(grad=grad)\nself.add_background = add_background\nself.seg_key = seg_key if seg_key is not None else instance_key\nself.map_key = map_key\nself.instance_key = instance_key\nself.present_instances = present_instances",
"semantic = torch.zeros_like(data[self.instance_key])\n_present_instances = da... | <|body_start_0|>
super().__init__(grad=grad)
self.add_background = add_background
self.seg_key = seg_key if seg_key is not None else instance_key
self.map_key = map_key
self.instance_key = instance_key
self.present_instances = present_instances
<|end_body_0|>
<|body_star... | Instances2Segmentation | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Instances2Segmentation:
def __init__(self, instance_key: str, map_key: str, seg_key: str=None, add_background: bool=True, grad: bool=False, present_instances: Optional[str]=None):
"""Convert instances to semantic segmentation Args: instance_key: key where instance segmentation is located... | stack_v2_sparse_classes_75kplus_train_073034 | 12,908 | permissive | [
{
"docstring": "Convert instances to semantic segmentation Args: instance_key: key where instance segmentation is located map_key: key where mapping from instances to classes is located seg_key: key where segmentation should be saved; If None, the instance key will be overwritten add_background: adds +1 to clas... | 2 | stack_v2_sparse_classes_30k_train_004224 | Implement the Python class `Instances2Segmentation` described below.
Class description:
Implement the Instances2Segmentation class.
Method signatures and docstrings:
- def __init__(self, instance_key: str, map_key: str, seg_key: str=None, add_background: bool=True, grad: bool=False, present_instances: Optional[str]=N... | Implement the Python class `Instances2Segmentation` described below.
Class description:
Implement the Instances2Segmentation class.
Method signatures and docstrings:
- def __init__(self, instance_key: str, map_key: str, seg_key: str=None, add_background: bool=True, grad: bool=False, present_instances: Optional[str]=N... | 4f41faa7536dcef8fca7b647dcdca25360e5b58a | <|skeleton|>
class Instances2Segmentation:
def __init__(self, instance_key: str, map_key: str, seg_key: str=None, add_background: bool=True, grad: bool=False, present_instances: Optional[str]=None):
"""Convert instances to semantic segmentation Args: instance_key: key where instance segmentation is located... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Instances2Segmentation:
def __init__(self, instance_key: str, map_key: str, seg_key: str=None, add_background: bool=True, grad: bool=False, present_instances: Optional[str]=None):
"""Convert instances to semantic segmentation Args: instance_key: key where instance segmentation is located map_key: key ... | the_stack_v2_python_sparse | nndet/io/transforms/instances.py | dboun/nnDetection | train | 1 | |
1c6315bf1ee497701ab03a0319aa9cf1024b13f0 | [
"url = '/dashboard/moorings/'\nresponse = self.client.get(url, HTTP_HOST='website.domain')\nself.assertEqual(response.status_code, 302)",
"url = '/dashboard/moorings/'\nself.client.login(username=self.adminUN, password='pass')\nresponse = self.client.get(url, HTTP_HOST='website.domain')\nself.assertEqual(response... | <|body_start_0|>
url = '/dashboard/moorings/'
response = self.client.get(url, HTTP_HOST='website.domain')
self.assertEqual(response.status_code, 302)
<|end_body_0|>
<|body_start_1|>
url = '/dashboard/moorings/'
self.client.login(username=self.adminUN, password='pass')
re... | DashboardMooringsTestCase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DashboardMooringsTestCase:
def test_not_logged_in(self):
"""Test that the dashboard moorings view will redirect whilst not logged in."""
<|body_0|>
def test_logged_in_admin(self):
"""Test that the dashboard moorings view will load whilst logged in as admin."""
... | stack_v2_sparse_classes_75kplus_train_073035 | 26,818 | permissive | [
{
"docstring": "Test that the dashboard moorings view will redirect whilst not logged in.",
"name": "test_not_logged_in",
"signature": "def test_not_logged_in(self)"
},
{
"docstring": "Test that the dashboard moorings view will load whilst logged in as admin.",
"name": "test_logged_in_admin"... | 3 | stack_v2_sparse_classes_30k_train_039021 | Implement the Python class `DashboardMooringsTestCase` described below.
Class description:
Implement the DashboardMooringsTestCase class.
Method signatures and docstrings:
- def test_not_logged_in(self): Test that the dashboard moorings view will redirect whilst not logged in.
- def test_logged_in_admin(self): Test t... | Implement the Python class `DashboardMooringsTestCase` described below.
Class description:
Implement the DashboardMooringsTestCase class.
Method signatures and docstrings:
- def test_not_logged_in(self): Test that the dashboard moorings view will redirect whilst not logged in.
- def test_logged_in_admin(self): Test t... | 37d2942efcbdaad072f7a06ac876a40e0f69f702 | <|skeleton|>
class DashboardMooringsTestCase:
def test_not_logged_in(self):
"""Test that the dashboard moorings view will redirect whilst not logged in."""
<|body_0|>
def test_logged_in_admin(self):
"""Test that the dashboard moorings view will load whilst logged in as admin."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DashboardMooringsTestCase:
def test_not_logged_in(self):
"""Test that the dashboard moorings view will redirect whilst not logged in."""
url = '/dashboard/moorings/'
response = self.client.get(url, HTTP_HOST='website.domain')
self.assertEqual(response.status_code, 302)
def... | the_stack_v2_python_sparse | mooring/test_views.py | dbca-wa/moorings | train | 0 | |
c36710aa670ef1aad0851c4a9e4d5254a3646b32 | [
"pg_list = []\nnetwork_sys = client_object.get_network_system()\nfor pg in network_sys.networkInfo.portgroup:\n pg_list.append(pg.spec.name)\nreturn pg_list",
"host_mor = client_object.get_host_mor()\nnetwork_folder = host_mor.parent.parent.parent.networkFolder\nfor component in network_folder.childEntity:\n ... | <|body_start_0|>
pg_list = []
network_sys = client_object.get_network_system()
for pg in network_sys.networkInfo.portgroup:
pg_list.append(pg.spec.name)
return pg_list
<|end_body_0|>
<|body_start_1|>
host_mor = client_object.get_host_mor()
network_folder = ho... | Network related operations. | ESX55NetworkImpl | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ESX55NetworkImpl:
"""Network related operations."""
def list_networks(cls, client_object):
"""Returns the list of port groups. @type client_object: client instance @param client_object: Hypervisor client instance @rtype: list @return: List of port groups."""
<|body_0|>
d... | stack_v2_sparse_classes_75kplus_train_073036 | 1,942 | no_license | [
{
"docstring": "Returns the list of port groups. @type client_object: client instance @param client_object: Hypervisor client instance @rtype: list @return: List of port groups.",
"name": "list_networks",
"signature": "def list_networks(cls, client_object)"
},
{
"docstring": "Returns the ID(key)... | 2 | stack_v2_sparse_classes_30k_train_032444 | Implement the Python class `ESX55NetworkImpl` described below.
Class description:
Network related operations.
Method signatures and docstrings:
- def list_networks(cls, client_object): Returns the list of port groups. @type client_object: client instance @param client_object: Hypervisor client instance @rtype: list @... | Implement the Python class `ESX55NetworkImpl` described below.
Class description:
Network related operations.
Method signatures and docstrings:
- def list_networks(cls, client_object): Returns the list of port groups. @type client_object: client instance @param client_object: Hypervisor client instance @rtype: list @... | 5b55817c050b637e2747084290f6206d2e622938 | <|skeleton|>
class ESX55NetworkImpl:
"""Network related operations."""
def list_networks(cls, client_object):
"""Returns the list of port groups. @type client_object: client instance @param client_object: Hypervisor client instance @rtype: list @return: List of port groups."""
<|body_0|>
d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ESX55NetworkImpl:
"""Network related operations."""
def list_networks(cls, client_object):
"""Returns the list of port groups. @type client_object: client instance @param client_object: Hypervisor client instance @rtype: list @return: List of port groups."""
pg_list = []
network_s... | the_stack_v2_python_sparse | SystemTesting/pylib/vmware/vsphere/esx/api/esx55_network_impl.py | Cloudxtreme/MyProject | train | 0 |
913c0fd29ef3b2b73a91befa2ad32ac046e6108f | [
"WidgetBase.__init__(self, master)\nself.__populate()\nself.__bindKeys()",
"self.buttons = [Tk.Button(self, width=2, height=2, text='7', command=lambda: self.triggerEvent('NumberPadClick-7')), Tk.Button(self, width=2, height=2, text='8', command=lambda: self.triggerEvent('NumberPadClick-8')), Tk.Button(self, widt... | <|body_start_0|>
WidgetBase.__init__(self, master)
self.__populate()
self.__bindKeys()
<|end_body_0|>
<|body_start_1|>
self.buttons = [Tk.Button(self, width=2, height=2, text='7', command=lambda: self.triggerEvent('NumberPadClick-7')), Tk.Button(self, width=2, height=2, text='8', comman... | NumberPad | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumberPad:
def __init__(self, master=None):
"""Creates a standard number pad"""
<|body_0|>
def __populate(self):
"""Create the Number Pad"""
<|body_1|>
def __bindKeys(self):
"""Bind the keys"""
<|body_2|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_75kplus_train_073037 | 10,445 | no_license | [
{
"docstring": "Creates a standard number pad",
"name": "__init__",
"signature": "def __init__(self, master=None)"
},
{
"docstring": "Create the Number Pad",
"name": "__populate",
"signature": "def __populate(self)"
},
{
"docstring": "Bind the keys",
"name": "__bindKeys",
... | 3 | stack_v2_sparse_classes_30k_train_013423 | Implement the Python class `NumberPad` described below.
Class description:
Implement the NumberPad class.
Method signatures and docstrings:
- def __init__(self, master=None): Creates a standard number pad
- def __populate(self): Create the Number Pad
- def __bindKeys(self): Bind the keys | Implement the Python class `NumberPad` described below.
Class description:
Implement the NumberPad class.
Method signatures and docstrings:
- def __init__(self, master=None): Creates a standard number pad
- def __populate(self): Create the Number Pad
- def __bindKeys(self): Bind the keys
<|skeleton|>
class NumberPad... | d12900acb5354956579fc3375b35e18467b37da5 | <|skeleton|>
class NumberPad:
def __init__(self, master=None):
"""Creates a standard number pad"""
<|body_0|>
def __populate(self):
"""Create the Number Pad"""
<|body_1|>
def __bindKeys(self):
"""Bind the keys"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumberPad:
def __init__(self, master=None):
"""Creates a standard number pad"""
WidgetBase.__init__(self, master)
self.__populate()
self.__bindKeys()
def __populate(self):
"""Create the Number Pad"""
self.buttons = [Tk.Button(self, width=2, height=2, text='... | the_stack_v2_python_sparse | cs3710/assignments/a05/Widgets.py | VijayEluri/MUN-School-Work | train | 0 | |
44d205d41866237008de7ca406626e21753ac164 | [
"self.meldings_kode_field = meldings_kode_field\nself.meldings_tekst_field = meldings_tekst_field\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nmeldings_kode_field = dictionary.get('meldingsKodeField')\nmeldings_tekst_field = dictionary.get('meldingsTekstField')\n... | <|body_start_0|>
self.meldings_kode_field = meldings_kode_field
self.meldings_tekst_field = meldings_tekst_field
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
meldings_kode_field = dictionary.get... | Implementation of the 'Meldinger' model. TODO: type model description here. Attributes: meldings_kode_field (int): TODO: type description here. meldings_tekst_field (string): TODO: type description here. | Meldinger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Meldinger:
"""Implementation of the 'Meldinger' model. TODO: type model description here. Attributes: meldings_kode_field (int): TODO: type description here. meldings_tekst_field (string): TODO: type description here."""
def __init__(self, meldings_kode_field=None, meldings_tekst_field=None,... | stack_v2_sparse_classes_75kplus_train_073038 | 2,224 | permissive | [
{
"docstring": "Constructor for the Meldinger class",
"name": "__init__",
"signature": "def __init__(self, meldings_kode_field=None, meldings_tekst_field=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dicti... | 2 | stack_v2_sparse_classes_30k_val_000961 | Implement the Python class `Meldinger` described below.
Class description:
Implementation of the 'Meldinger' model. TODO: type model description here. Attributes: meldings_kode_field (int): TODO: type description here. meldings_tekst_field (string): TODO: type description here.
Method signatures and docstrings:
- def... | Implement the Python class `Meldinger` described below.
Class description:
Implementation of the 'Meldinger' model. TODO: type model description here. Attributes: meldings_kode_field (int): TODO: type description here. meldings_tekst_field (string): TODO: type description here.
Method signatures and docstrings:
- def... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class Meldinger:
"""Implementation of the 'Meldinger' model. TODO: type model description here. Attributes: meldings_kode_field (int): TODO: type description here. meldings_tekst_field (string): TODO: type description here."""
def __init__(self, meldings_kode_field=None, meldings_tekst_field=None,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Meldinger:
"""Implementation of the 'Meldinger' model. TODO: type model description here. Attributes: meldings_kode_field (int): TODO: type description here. meldings_tekst_field (string): TODO: type description here."""
def __init__(self, meldings_kode_field=None, meldings_tekst_field=None, additional_p... | the_stack_v2_python_sparse | idfy_rest_client/models/meldinger.py | dealflowteam/Idfy | train | 0 |
28a059cdfaaa32e9f484a6a1639b63239456da51 | [
"dummy = tail = ListNode(None)\nwhile l1 and l2:\n if l1.val <= l2.val:\n tail.next, tail, l1 = (l1, l1, l1.next)\n else:\n tail.next, tail, l2 = (l2, l2, l2.next)\ntail.next = l1 or l2 if l1 or l2 else None\nreturn dummy.next",
"dummyRoot = ListNode(0)\nptr = dummyRoot\nptr1 = l1\nptr2 = l2\n... | <|body_start_0|>
dummy = tail = ListNode(None)
while l1 and l2:
if l1.val <= l2.val:
tail.next, tail, l1 = (l1, l1, l1.next)
else:
tail.next, tail, l2 = (l2, l2, l2.next)
tail.next = l1 or l2 if l1 or l2 else None
return dummy.next
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_0|>
def mergeTwoLists_my_first(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_073039 | 2,623 | no_license | [
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
},
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists_my_first",
"signature": "def mergeTwoLists_m... | 2 | stack_v2_sparse_classes_30k_train_028644 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
- def mergeTwoLists_my_first(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
- def mergeTwoLists_my_first(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ... | f0d9070fa292ca36971a465a805faddb12025482 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_0|>
def mergeTwoLists_my_first(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
dummy = tail = ListNode(None)
while l1 and l2:
if l1.val <= l2.val:
tail.next, tail, l1 = (l1, l1, l1.next)
else:
tail.next, t... | the_stack_v2_python_sparse | 21.MergeTwoSortedLists.py | JerryRoc/leetcode | train | 0 | |
7dec94b4d57e93288eb0a0ddb865b44de4eb9703 | [
"value_dict = defaultdict(lambda: None)\nqueue = [(0, root)]\nwhile len(queue) > 0:\n index, node = queue.pop(0)\n value_dict[index] = node.val\n if node.left:\n queue.append((index * 2 + 1, node.left))\n if node.right:\n queue.append((index * 2 + 2, node.right))\nreturn value_dict",
"va... | <|body_start_0|>
value_dict = defaultdict(lambda: None)
queue = [(0, root)]
while len(queue) > 0:
index, node = queue.pop(0)
value_dict[index] = node.val
if node.left:
queue.append((index * 2 + 1, node.left))
if node.right:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def tree_to_dict(self, root):
""":type root: TreeNode :rtype: defaultdict key: index, value: value"""
<|body_0|>
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
value_dict =... | stack_v2_sparse_classes_75kplus_train_073040 | 2,019 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: defaultdict key: index, value: value",
"name": "tree_to_dict",
"signature": "def tree_to_dict(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isSymmetric",
"signature": "def isSymmetric(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def tree_to_dict(self, root): :type root: TreeNode :rtype: defaultdict key: index, value: value
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def tree_to_dict(self, root): :type root: TreeNode :rtype: defaultdict key: index, value: value
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool
<|skeleton|>
cla... | b8771acb31cee3a86610c4c476f2417e1cd08328 | <|skeleton|>
class Solution:
def tree_to_dict(self, root):
""":type root: TreeNode :rtype: defaultdict key: index, value: value"""
<|body_0|>
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def tree_to_dict(self, root):
""":type root: TreeNode :rtype: defaultdict key: index, value: value"""
value_dict = defaultdict(lambda: None)
queue = [(0, root)]
while len(queue) > 0:
index, node = queue.pop(0)
value_dict[index] = node.val
... | the_stack_v2_python_sparse | 2021/101.py | aacs0130/uttapam | train | 0 | |
ab73d6d10a8dac78f1221aa24f297f174f1e52d7 | [
"cls = super(PacketFactory, mcs).__new__(mcs, name, bases, attrs)\nif cls.__type__ is not None and cls.__type__ not in PacketFactory._PACKETS:\n PacketFactory._PACKETS[cls.__type__] = cls\nreturn cls",
"cls = PacketFactory._PACKETS[dct['type']]\nif type(cls) != mcs:\n cls = type(cls).get_class(dct, server)\... | <|body_start_0|>
cls = super(PacketFactory, mcs).__new__(mcs, name, bases, attrs)
if cls.__type__ is not None and cls.__type__ not in PacketFactory._PACKETS:
PacketFactory._PACKETS[cls.__type__] = cls
return cls
<|end_body_0|>
<|body_start_1|>
cls = PacketFactory._PACKETS[dc... | A metaclass that is used to register new packet classes as they are being defined, and instantiate new packets from their name when necessary. | PacketFactory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PacketFactory:
"""A metaclass that is used to register new packet classes as they are being defined, and instantiate new packets from their name when necessary."""
def __new__(mcs, name, bases, attrs):
"""Register a new packet class into the factory."""
<|body_0|>
def ge... | stack_v2_sparse_classes_75kplus_train_073041 | 15,461 | no_license | [
{
"docstring": "Register a new packet class into the factory.",
"name": "__new__",
"signature": "def __new__(mcs, name, bases, attrs)"
},
{
"docstring": "Instantiate the packet corresponding to the serialized dictionary. It will check if the packet type is registered, the deferred the request to... | 2 | stack_v2_sparse_classes_30k_test_000044 | Implement the Python class `PacketFactory` described below.
Class description:
A metaclass that is used to register new packet classes as they are being defined, and instantiate new packets from their name when necessary.
Method signatures and docstrings:
- def __new__(mcs, name, bases, attrs): Register a new packet ... | Implement the Python class `PacketFactory` described below.
Class description:
A metaclass that is used to register new packet classes as they are being defined, and instantiate new packets from their name when necessary.
Method signatures and docstrings:
- def __new__(mcs, name, bases, attrs): Register a new packet ... | cd19e3168b4661312efdc80b5b7c006a70b8004b | <|skeleton|>
class PacketFactory:
"""A metaclass that is used to register new packet classes as they are being defined, and instantiate new packets from their name when necessary."""
def __new__(mcs, name, bases, attrs):
"""Register a new packet class into the factory."""
<|body_0|>
def ge... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PacketFactory:
"""A metaclass that is used to register new packet classes as they are being defined, and instantiate new packets from their name when necessary."""
def __new__(mcs, name, bases, attrs):
"""Register a new packet class into the factory."""
cls = super(PacketFactory, mcs).__n... | the_stack_v2_python_sparse | idarling/idarling/idarling/shared/packets.py | saidelike/IDArling-1 | train | 0 |
d73fbd0f214a992f2c275229bfd5988f493ec792 | [
"if not email:\n raise ValueError('Ususario debe tener un Email')\nemail = self.normalize_email(email)\nuser = self.model(email=email, name=name)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(email, name, password)\nuser.is_superuser = True\nuser.is_staff = Tru... | <|body_start_0|>
if not email:
raise ValueError('Ususario debe tener un Email')
email = self.normalize_email(email)
user = self.model(email=email, name=name)
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_start_1|>
... | manager para perfiles de usuario, especifica funciones que sirven para manipular lo que tenemos lo que tenemos dentro del objectos de UserProfile | UserProfileManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProfileManager:
"""manager para perfiles de usuario, especifica funciones que sirven para manipular lo que tenemos lo que tenemos dentro del objectos de UserProfile"""
def create_user(self, email, name, password=None):
"""crear nuevo user profile"""
<|body_0|>
def cr... | stack_v2_sparse_classes_75kplus_train_073042 | 3,227 | no_license | [
{
"docstring": "crear nuevo user profile",
"name": "create_user",
"signature": "def create_user(self, email, name, password=None)"
},
{
"docstring": "crear un super usuario",
"name": "create_superuser",
"signature": "def create_superuser(self, email, name, password)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005453 | Implement the Python class `UserProfileManager` described below.
Class description:
manager para perfiles de usuario, especifica funciones que sirven para manipular lo que tenemos lo que tenemos dentro del objectos de UserProfile
Method signatures and docstrings:
- def create_user(self, email, name, password=None): c... | Implement the Python class `UserProfileManager` described below.
Class description:
manager para perfiles de usuario, especifica funciones que sirven para manipular lo que tenemos lo que tenemos dentro del objectos de UserProfile
Method signatures and docstrings:
- def create_user(self, email, name, password=None): c... | 30441e5ce1a00455a3dc51a53cee6b34106b663f | <|skeleton|>
class UserProfileManager:
"""manager para perfiles de usuario, especifica funciones que sirven para manipular lo que tenemos lo que tenemos dentro del objectos de UserProfile"""
def create_user(self, email, name, password=None):
"""crear nuevo user profile"""
<|body_0|>
def cr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserProfileManager:
"""manager para perfiles de usuario, especifica funciones que sirven para manipular lo que tenemos lo que tenemos dentro del objectos de UserProfile"""
def create_user(self, email, name, password=None):
"""crear nuevo user profile"""
if not email:
raise Val... | the_stack_v2_python_sparse | profiles_project/profiles_api/models.py | AlexRodriguezVillavicencio/Backend | train | 1 |
84847c2e72d17d10c0a17a65c6edb965998c72f5 | [
"if not UIDriver.instance:\n UIDriver.instance = self\n UIDriver.root_frame = root\n UIDriver.thread_manager = ThreadManager()\n UIDriver.change_application_state(ApplicationState.STARTUP)\n UIDriver.change_application_state(ApplicationState.WAITING_INPUT)\n UIDriver.timer_5_sec = time.time()",
... | <|body_start_0|>
if not UIDriver.instance:
UIDriver.instance = self
UIDriver.root_frame = root
UIDriver.thread_manager = ThreadManager()
UIDriver.change_application_state(ApplicationState.STARTUP)
UIDriver.change_application_state(ApplicationState.WAIT... | This class is responsible for driving the UI. It holds the root frame wx widget as well as keeping track of the application state. It will send user events and application state changes to the child IUIBehavior objects. | UIDriver | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UIDriver:
"""This class is responsible for driving the UI. It holds the root frame wx widget as well as keeping track of the application state. It will send user events and application state changes to the child IUIBehavior objects."""
def __init__(self, root):
"""Default constructor... | stack_v2_sparse_classes_75kplus_train_073043 | 6,648 | permissive | [
{
"docstring": "Default constructor for the UIDriver object.",
"name": "__init__",
"signature": "def __init__(self, root)"
},
{
"docstring": "Traverse the child-parent relationship between wx widgets. Return all the children objects that are instances of the IUIBehavior. :param root: The root wx... | 6 | null | Implement the Python class `UIDriver` described below.
Class description:
This class is responsible for driving the UI. It holds the root frame wx widget as well as keeping track of the application state. It will send user events and application state changes to the child IUIBehavior objects.
Method signatures and do... | Implement the Python class `UIDriver` described below.
Class description:
This class is responsible for driving the UI. It holds the root frame wx widget as well as keeping track of the application state. It will send user events and application state changes to the child IUIBehavior objects.
Method signatures and do... | 61a3fde105d0c0841a571037537ec3347bae8808 | <|skeleton|>
class UIDriver:
"""This class is responsible for driving the UI. It holds the root frame wx widget as well as keeping track of the application state. It will send user events and application state changes to the child IUIBehavior objects."""
def __init__(self, root):
"""Default constructor... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UIDriver:
"""This class is responsible for driving the UI. It holds the root frame wx widget as well as keeping track of the application state. It will send user events and application state changes to the child IUIBehavior objects."""
def __init__(self, root):
"""Default constructor for the UIDr... | the_stack_v2_python_sparse | src/ui/ui_driver.py | sohantamang/lscan | train | 0 |
5ffd5b8169b4465d2a95a514b3eac7f346710331 | [
"super(InteractionUI, self).__init__()\nself._logger = logging.getLogger(__name__)\nself._logger.info(\"Setting up input form's interaction buttons...\")\nself.ros_node = ros_node\nself.button_box = QtGui.QGroupBox(self)\nself.button_layout = QtGui.QGridLayout(self.button_box)\nself.button_box.setTitle('Interaction... | <|body_start_0|>
super(InteractionUI, self).__init__()
self._logger = logging.getLogger(__name__)
self._logger.info("Setting up input form's interaction buttons...")
self.ros_node = ros_node
self.button_box = QtGui.QGroupBox(self)
self.button_layout = QtGui.QGridLayout(se... | Buttons for allowing the user to start, stop, pause, and resume the interaction remotely. | InteractionUI | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InteractionUI:
"""Buttons for allowing the user to start, stop, pause, and resume the interaction remotely."""
def __init__(self, ros_node):
"""Make buttons for getting stop, pause, resume input from the user."""
<|body_0|>
def on_button_selected(self, selected):
... | stack_v2_sparse_classes_75kplus_train_073044 | 5,040 | permissive | [
{
"docstring": "Make buttons for getting stop, pause, resume input from the user.",
"name": "__init__",
"signature": "def __init__(self, ros_node)"
},
{
"docstring": "When a button is pressed, update the label so the user can check it and confirm.",
"name": "on_button_selected",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_048085 | Implement the Python class `InteractionUI` described below.
Class description:
Buttons for allowing the user to start, stop, pause, and resume the interaction remotely.
Method signatures and docstrings:
- def __init__(self, ros_node): Make buttons for getting stop, pause, resume input from the user.
- def on_button_s... | Implement the Python class `InteractionUI` described below.
Class description:
Buttons for allowing the user to start, stop, pause, and resume the interaction remotely.
Method signatures and docstrings:
- def __init__(self, ros_node): Make buttons for getting stop, pause, resume input from the user.
- def on_button_s... | 8bf3f928b442c2890dbbbff110fcde76846b2e16 | <|skeleton|>
class InteractionUI:
"""Buttons for allowing the user to start, stop, pause, and resume the interaction remotely."""
def __init__(self, ros_node):
"""Make buttons for getting stop, pause, resume input from the user."""
<|body_0|>
def on_button_selected(self, selected):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InteractionUI:
"""Buttons for allowing the user to start, stop, pause, and resume the interaction remotely."""
def __init__(self, ros_node):
"""Make buttons for getting stop, pause, resume input from the user."""
super(InteractionUI, self).__init__()
self._logger = logging.getLogg... | the_stack_v2_python_sparse | src/user_input_interaction_ui.py | mitmedialab/rr_interaction | train | 0 |
8a1bf6c1b80b8b3d8eeefe1e252d534496f2df1f | [
"data = get_applicant_row_by_id(pk)\nif not data:\n abort(NotFound.code, message='没有记录', status=False)\nif data.status_delete == STATUS_DEL_OK:\n abort(NotFound.code, message='已经删除', status=False)\nresult = marshal(data, fields_item, envelope=structure_key_item)\nreturn jsonify(result)",
"request_args = req... | <|body_start_0|>
data = get_applicant_row_by_id(pk)
if not data:
abort(NotFound.code, message='没有记录', status=False)
if data.status_delete == STATUS_DEL_OK:
abort(NotFound.code, message='已经删除', status=False)
result = marshal(data, fields_item, envelope=structure_ke... | ApplicantResource | ApplicantResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApplicantResource:
"""ApplicantResource"""
def get(self, pk):
"""Example: curl http://0.0.0.0:8000/applicant/1 :param pk: :return:"""
<|body_0|>
def put(self, pk):
"""Example: curl http://0.0.0.0:8000/applicant/1 -H "Content-Type: application/json" -X PUT -d ' { ... | stack_v2_sparse_classes_75kplus_train_073045 | 7,189 | no_license | [
{
"docstring": "Example: curl http://0.0.0.0:8000/applicant/1 :param pk: :return:",
"name": "get",
"signature": "def get(self, pk)"
},
{
"docstring": "Example: curl http://0.0.0.0:8000/applicant/1 -H \"Content-Type: application/json\" -X PUT -d ' { \"applicant\": { \"name\": \"applicant name put... | 3 | null | Implement the Python class `ApplicantResource` described below.
Class description:
ApplicantResource
Method signatures and docstrings:
- def get(self, pk): Example: curl http://0.0.0.0:8000/applicant/1 :param pk: :return:
- def put(self, pk): Example: curl http://0.0.0.0:8000/applicant/1 -H "Content-Type: application... | Implement the Python class `ApplicantResource` described below.
Class description:
ApplicantResource
Method signatures and docstrings:
- def get(self, pk): Example: curl http://0.0.0.0:8000/applicant/1 :param pk: :return:
- def put(self, pk): Example: curl http://0.0.0.0:8000/applicant/1 -H "Content-Type: application... | 0b44d83b95079734ac9aa78bc7af40a0a7530bca | <|skeleton|>
class ApplicantResource:
"""ApplicantResource"""
def get(self, pk):
"""Example: curl http://0.0.0.0:8000/applicant/1 :param pk: :return:"""
<|body_0|>
def put(self, pk):
"""Example: curl http://0.0.0.0:8000/applicant/1 -H "Content-Type: application/json" -X PUT -d ' { ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ApplicantResource:
"""ApplicantResource"""
def get(self, pk):
"""Example: curl http://0.0.0.0:8000/applicant/1 :param pk: :return:"""
data = get_applicant_row_by_id(pk)
if not data:
abort(NotFound.code, message='没有记录', status=False)
if data.status_delete == STA... | the_stack_v2_python_sparse | apps/lims/applicant/resource.py | zhanghe06/lims_project | train | 1 |
5a9daab4114da3539b8233b71115e085b5a9a4fe | [
"paginated = Paginator(models.SiteInvite.objects.filter(user=request.user).order_by('-created_date'), PAGE_LENGTH)\npage = paginated.get_page(request.GET.get('page'))\ndata = {'invites': page, 'page_range': paginated.get_elided_page_range(page.number, on_each_side=2, on_ends=1), 'form': forms.CreateInviteForm()}\nr... | <|body_start_0|>
paginated = Paginator(models.SiteInvite.objects.filter(user=request.user).order_by('-created_date'), PAGE_LENGTH)
page = paginated.get_page(request.GET.get('page'))
data = {'invites': page, 'page_range': paginated.get_elided_page_range(page.number, on_each_side=2, on_ends=1), 'f... | create invites | ManageInvites | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ManageInvites:
"""create invites"""
def get(self, request):
"""invite management page"""
<|body_0|>
def post(self, request):
"""creates an invite database entry"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
paginated = Paginator(models.SiteInv... | stack_v2_sparse_classes_75kplus_train_073046 | 6,414 | no_license | [
{
"docstring": "invite management page",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "creates an invite database entry",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035112 | Implement the Python class `ManageInvites` described below.
Class description:
create invites
Method signatures and docstrings:
- def get(self, request): invite management page
- def post(self, request): creates an invite database entry | Implement the Python class `ManageInvites` described below.
Class description:
create invites
Method signatures and docstrings:
- def get(self, request): invite management page
- def post(self, request): creates an invite database entry
<|skeleton|>
class ManageInvites:
"""create invites"""
def get(self, re... | 0f8da5b738047f3c34d60d93f59bdedd8f797224 | <|skeleton|>
class ManageInvites:
"""create invites"""
def get(self, request):
"""invite management page"""
<|body_0|>
def post(self, request):
"""creates an invite database entry"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ManageInvites:
"""create invites"""
def get(self, request):
"""invite management page"""
paginated = Paginator(models.SiteInvite.objects.filter(user=request.user).order_by('-created_date'), PAGE_LENGTH)
page = paginated.get_page(request.GET.get('page'))
data = {'invites': ... | the_stack_v2_python_sparse | bookwyrm/views/admin/invite.py | bookwyrm-social/bookwyrm | train | 1,398 |
ed567eeee35fa9260888599dd67d1019f28d03d4 | [
"self._grid = grid\nself.runoff_rate = runoff_rate / 3600000.0\nself.vel_coef = 1.0 / roughness\nself.changing_topo = changing_topo\nself.depth_exp = depth_exp\nself.weight = weight\ntry:\n self.elev = grid.at_node['topographic__elevation']\nexcept:\n raise\nif 'surface_water__depth' in grid.at_node:\n sel... | <|body_start_0|>
self._grid = grid
self.runoff_rate = runoff_rate / 3600000.0
self.vel_coef = 1.0 / roughness
self.changing_topo = changing_topo
self.depth_exp = depth_exp
self.weight = weight
try:
self.elev = grid.at_node['topographic__elevation']
... | Calculate shallow water flow over topography. Landlab component that implements a two-dimensional kinematic wave model. This is a form of the 2D shallow-water equations in which energy slope is assumed to equal bed slope. The solution method is locally implicit, and works as follows. At each time step, we iterate from ... | KinwaveImplicitOverlandFlow | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KinwaveImplicitOverlandFlow:
"""Calculate shallow water flow over topography. Landlab component that implements a two-dimensional kinematic wave model. This is a form of the 2D shallow-water equations in which energy slope is assumed to equal bed slope. The solution method is locally implicit, an... | stack_v2_sparse_classes_75kplus_train_073047 | 14,450 | permissive | [
{
"docstring": "Initialize the KinwaveOverlandFlowModel. Parameters ---------- grid : ModelGrid Landlab ModelGrid object runoff_rate : float, optional (defaults to 1 mm/hr) Precipitation rate, mm/hr roughnes : float, defaults to 0.01 Manning roughness coefficient, s/m^1/3 changing_topo : boolean, optional (defa... | 2 | stack_v2_sparse_classes_30k_train_014969 | Implement the Python class `KinwaveImplicitOverlandFlow` described below.
Class description:
Calculate shallow water flow over topography. Landlab component that implements a two-dimensional kinematic wave model. This is a form of the 2D shallow-water equations in which energy slope is assumed to equal bed slope. The ... | Implement the Python class `KinwaveImplicitOverlandFlow` described below.
Class description:
Calculate shallow water flow over topography. Landlab component that implements a two-dimensional kinematic wave model. This is a form of the 2D shallow-water equations in which energy slope is assumed to equal bed slope. The ... | 8c8613f8b8653906c1497f6557dd2a0bc555a79a | <|skeleton|>
class KinwaveImplicitOverlandFlow:
"""Calculate shallow water flow over topography. Landlab component that implements a two-dimensional kinematic wave model. This is a form of the 2D shallow-water equations in which energy slope is assumed to equal bed slope. The solution method is locally implicit, an... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KinwaveImplicitOverlandFlow:
"""Calculate shallow water flow over topography. Landlab component that implements a two-dimensional kinematic wave model. This is a form of the 2D shallow-water equations in which energy slope is assumed to equal bed slope. The solution method is locally implicit, and works as fo... | the_stack_v2_python_sparse | landlab/components/overland_flow/generate_overland_flow_implicit_kinwave.py | RondaStrauch/landlab | train | 2 |
1bebf5d0ceac2ebb9379f272ee52d5b9dac018d6 | [
"key = LibraryUsageLocatorV2.from_string(usage_key_str)\napi.require_permission_for_library_key(key.lib_key, request.user, permissions.CAN_VIEW_THIS_CONTENT_LIBRARY)\nxml_str = api.get_library_block_olx(key)\nreturn Response(LibraryXBlockOlxSerializer({'olx': xml_str}).data)",
"key = LibraryUsageLocatorV2.from_st... | <|body_start_0|>
key = LibraryUsageLocatorV2.from_string(usage_key_str)
api.require_permission_for_library_key(key.lib_key, request.user, permissions.CAN_VIEW_THIS_CONTENT_LIBRARY)
xml_str = api.get_library_block_olx(key)
return Response(LibraryXBlockOlxSerializer({'olx': xml_str}).data)... | Views to work with an existing XBlock's OLX | LibraryBlockOlxView | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LibraryBlockOlxView:
"""Views to work with an existing XBlock's OLX"""
def get(self, request, usage_key_str):
"""Get the block's OLX"""
<|body_0|>
def post(self, request, usage_key_str):
"""Replace the block's OLX. This API is only meant for use by developers or ... | stack_v2_sparse_classes_75kplus_train_073048 | 42,120 | permissive | [
{
"docstring": "Get the block's OLX",
"name": "get",
"signature": "def get(self, request, usage_key_str)"
},
{
"docstring": "Replace the block's OLX. This API is only meant for use by developers or API client applications. Very little validation is done.",
"name": "post",
"signature": "d... | 2 | stack_v2_sparse_classes_30k_train_014838 | Implement the Python class `LibraryBlockOlxView` described below.
Class description:
Views to work with an existing XBlock's OLX
Method signatures and docstrings:
- def get(self, request, usage_key_str): Get the block's OLX
- def post(self, request, usage_key_str): Replace the block's OLX. This API is only meant for ... | Implement the Python class `LibraryBlockOlxView` described below.
Class description:
Views to work with an existing XBlock's OLX
Method signatures and docstrings:
- def get(self, request, usage_key_str): Get the block's OLX
- def post(self, request, usage_key_str): Replace the block's OLX. This API is only meant for ... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class LibraryBlockOlxView:
"""Views to work with an existing XBlock's OLX"""
def get(self, request, usage_key_str):
"""Get the block's OLX"""
<|body_0|>
def post(self, request, usage_key_str):
"""Replace the block's OLX. This API is only meant for use by developers or ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LibraryBlockOlxView:
"""Views to work with an existing XBlock's OLX"""
def get(self, request, usage_key_str):
"""Get the block's OLX"""
key = LibraryUsageLocatorV2.from_string(usage_key_str)
api.require_permission_for_library_key(key.lib_key, request.user, permissions.CAN_VIEW_THI... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/content_libraries/views.py | luque/better-ways-of-thinking-about-software | train | 3 |
275b25a196344b648eba78c8cb32f5ff5962e33e | [
"if not dataset.dataset.purged:\n dataset.peek = data.get_file_peek(dataset.file_name, is_multi_byte=is_multi_byte)\n dataset.blurb = 'NCBI Blast XML data'\nelse:\n dataset.peek = 'file does not exist'\n dataset.blurb = 'file purged from disk'",
"blastxml_header = ['<?xml version=\"1.0\"?>', '<!DOCTYP... | <|body_start_0|>
if not dataset.dataset.purged:
dataset.peek = data.get_file_peek(dataset.file_name, is_multi_byte=is_multi_byte)
dataset.blurb = 'NCBI Blast XML data'
else:
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
<|end... | NCBI Blast XML Output data | BlastXml | [
"CC-BY-2.5",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlastXml:
"""NCBI Blast XML Output data"""
def set_peek(self, dataset, is_multi_byte=False):
"""Set the peek and blurb text"""
<|body_0|>
def sniff(self, filename):
"""Determines whether the file is blastxml >>> fname = get_test_fname( 'megablast_xml_parser_test1... | stack_v2_sparse_classes_75kplus_train_073049 | 1,456 | permissive | [
{
"docstring": "Set the peek and blurb text",
"name": "set_peek",
"signature": "def set_peek(self, dataset, is_multi_byte=False)"
},
{
"docstring": "Determines whether the file is blastxml >>> fname = get_test_fname( 'megablast_xml_parser_test1.blastxml' ) >>> BlastXml().sniff( fname ) True >>> ... | 2 | null | Implement the Python class `BlastXml` described below.
Class description:
NCBI Blast XML Output data
Method signatures and docstrings:
- def set_peek(self, dataset, is_multi_byte=False): Set the peek and blurb text
- def sniff(self, filename): Determines whether the file is blastxml >>> fname = get_test_fname( 'megab... | Implement the Python class `BlastXml` described below.
Class description:
NCBI Blast XML Output data
Method signatures and docstrings:
- def set_peek(self, dataset, is_multi_byte=False): Set the peek and blurb text
- def sniff(self, filename): Determines whether the file is blastxml >>> fname = get_test_fname( 'megab... | 7b679ea17ba294893cc560354d759cfd61c0b450 | <|skeleton|>
class BlastXml:
"""NCBI Blast XML Output data"""
def set_peek(self, dataset, is_multi_byte=False):
"""Set the peek and blurb text"""
<|body_0|>
def sniff(self, filename):
"""Determines whether the file is blastxml >>> fname = get_test_fname( 'megablast_xml_parser_test1... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BlastXml:
"""NCBI Blast XML Output data"""
def set_peek(self, dataset, is_multi_byte=False):
"""Set the peek and blurb text"""
if not dataset.dataset.purged:
dataset.peek = data.get_file_peek(dataset.file_name, is_multi_byte=is_multi_byte)
dataset.blurb = 'NCBI Bla... | the_stack_v2_python_sparse | lib/galaxy/datatypes/xml.py | msGenDev/Yeps-EURAC | train | 0 |
a5d3a11b6f0db1c7876ec3ad242b5f60799fa71c | [
"context = super().get_context_data(**kwargs)\ncontext['page_title'] = 'IPs in use'\ncontext['table_title'] = 'Overview of IPs in use'\nreturn context",
"qs1 = Netdev.objects.filter(decomissioned=False)\nqs2 = Server.objects.filter(decomissioned=False)\nqs4 = Vserver.objects.filter(decomissioned=False)\nip_list =... | <|body_start_0|>
context = super().get_context_data(**kwargs)
context['page_title'] = 'IPs in use'
context['table_title'] = 'Overview of IPs in use'
return context
<|end_body_0|>
<|body_start_1|>
qs1 = Netdev.objects.filter(decomissioned=False)
qs2 = Server.objects.filte... | Queries all the existing objects in the DB for devices, Then return them as context for the view | IPlist_Used | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IPlist_Used:
"""Queries all the existing objects in the DB for devices, Then return them as context for the view"""
def get_context_data(self, **kwargs):
"""Feeds more context data to the template, see Stations_Sept_Receivers comments."""
<|body_0|>
def get_queryset(self... | stack_v2_sparse_classes_75kplus_train_073050 | 7,905 | no_license | [
{
"docstring": "Feeds more context data to the template, see Stations_Sept_Receivers comments.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "We have a qs per model to be queried, then is merged using the chain and returned to the view",
... | 2 | null | Implement the Python class `IPlist_Used` described below.
Class description:
Queries all the existing objects in the DB for devices, Then return them as context for the view
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Feeds more context data to the template, see Stations_Sept_Receivers c... | Implement the Python class `IPlist_Used` described below.
Class description:
Queries all the existing objects in the DB for devices, Then return them as context for the view
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Feeds more context data to the template, see Stations_Sept_Receivers c... | 12aafa53b362c1e093db70903d7cc3a70208986a | <|skeleton|>
class IPlist_Used:
"""Queries all the existing objects in the DB for devices, Then return them as context for the view"""
def get_context_data(self, **kwargs):
"""Feeds more context data to the template, see Stations_Sept_Receivers comments."""
<|body_0|>
def get_queryset(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IPlist_Used:
"""Queries all the existing objects in the DB for devices, Then return them as context for the view"""
def get_context_data(self, **kwargs):
"""Feeds more context data to the template, see Stations_Sept_Receivers comments."""
context = super().get_context_data(**kwargs)
... | the_stack_v2_python_sparse | inetrecomgr/views.py | mamedxanli/centurion | train | 0 |
db0b68ff0057117a22a8cb28541755d7acc102ce | [
"if rsp is None:\n rsp = rfc1905.Message()\n rsp.apiAlphaSetPdu(self.apiAlphaGetPdu().apiAlphaReply())\nelse:\n self.apiAlphaGetPdu().apiAlphaReply(rsp.apiAlphaGetPdu())\nrsp.apiAlphaSetCommunity(self.apiAlphaGetCommunity())\nreturn rsp",
"if not isinstance(rsp, rfc1905.Message):\n raise error.BadArgu... | <|body_start_0|>
if rsp is None:
rsp = rfc1905.Message()
rsp.apiAlphaSetPdu(self.apiAlphaGetPdu().apiAlphaReply())
else:
self.apiAlphaGetPdu().apiAlphaReply(rsp.apiAlphaGetPdu())
rsp.apiAlphaSetCommunity(self.apiAlphaGetCommunity())
return rsp
<|end_bo... | MessageMixIn | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MessageMixIn:
def apiAlphaReply(self, rsp=None):
"""Return initialized response message"""
<|body_0|>
def apiAlphaMatch(self, rsp):
"""Return true if response message matches this request"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if rsp is Non... | stack_v2_sparse_classes_75kplus_train_073051 | 6,735 | no_license | [
{
"docstring": "Return initialized response message",
"name": "apiAlphaReply",
"signature": "def apiAlphaReply(self, rsp=None)"
},
{
"docstring": "Return true if response message matches this request",
"name": "apiAlphaMatch",
"signature": "def apiAlphaMatch(self, rsp)"
}
] | 2 | null | Implement the Python class `MessageMixIn` described below.
Class description:
Implement the MessageMixIn class.
Method signatures and docstrings:
- def apiAlphaReply(self, rsp=None): Return initialized response message
- def apiAlphaMatch(self, rsp): Return true if response message matches this request | Implement the Python class `MessageMixIn` described below.
Class description:
Implement the MessageMixIn class.
Method signatures and docstrings:
- def apiAlphaReply(self, rsp=None): Return initialized response message
- def apiAlphaMatch(self, rsp): Return true if response message matches this request
<|skeleton|>
... | 256401ac313df2e45c516af1a4d5398f54703b9c | <|skeleton|>
class MessageMixIn:
def apiAlphaReply(self, rsp=None):
"""Return initialized response message"""
<|body_0|>
def apiAlphaMatch(self, rsp):
"""Return true if response message matches this request"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MessageMixIn:
def apiAlphaReply(self, rsp=None):
"""Return initialized response message"""
if rsp is None:
rsp = rfc1905.Message()
rsp.apiAlphaSetPdu(self.apiAlphaGetPdu().apiAlphaReply())
else:
self.apiAlphaGetPdu().apiAlphaReply(rsp.apiAlphaGetPdu(... | the_stack_v2_python_sparse | pre/python/lib/python2.7/dist-packages/pysnmp/proto/api/alpha/rfc1905.py | ag1455/OpenPLi-PC | train | 27 | |
bc6752bec93dd843ac212014583c02debf03f8bb | [
"super(STConvBlock, self).__init__()\nf_in, f_m, f_out = channels\nself.t_conv1 = TemporalConvLayer(f_in, f_m, t_cnv_krnl_sz)\nself.s_conv = SpatialConvLayer(f_m, f_m, k_hop)\nself.t_conv2 = TemporalConvLayer(f_m, f_out, t_cnv_krnl_sz)\nself.ln = nn.LayerNorm([n_node, f_out])\nself.dropout = nn.Dropout(dropout)",
... | <|body_start_0|>
super(STConvBlock, self).__init__()
f_in, f_m, f_out = channels
self.t_conv1 = TemporalConvLayer(f_in, f_m, t_cnv_krnl_sz)
self.s_conv = SpatialConvLayer(f_m, f_m, k_hop)
self.t_conv2 = TemporalConvLayer(f_m, f_out, t_cnv_krnl_sz)
self.ln = nn.LayerNorm([... | STConvBlock | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class STConvBlock:
def __init__(self, k_hop: int, t_cnv_krnl_sz: int, n_node: int, channels: Tuple[int, int, int], dropout: float):
"""Spatio-temporal convolutional block, which contains two temporal gated convolution layers and one spatial graph convolution layer in the middle. :param k_hop: ... | stack_v2_sparse_classes_75kplus_train_073052 | 5,900 | no_license | [
{
"docstring": "Spatio-temporal convolutional block, which contains two temporal gated convolution layers and one spatial graph convolution layer in the middle. :param k_hop: length of Chebychev polynomial, i.e., kernel size of spatial convolution :param t_cnv_krnl_sz: kernel size of temporal convolution :param... | 2 | stack_v2_sparse_classes_30k_test_002136 | Implement the Python class `STConvBlock` described below.
Class description:
Implement the STConvBlock class.
Method signatures and docstrings:
- def __init__(self, k_hop: int, t_cnv_krnl_sz: int, n_node: int, channels: Tuple[int, int, int], dropout: float): Spatio-temporal convolutional block, which contains two tem... | Implement the Python class `STConvBlock` described below.
Class description:
Implement the STConvBlock class.
Method signatures and docstrings:
- def __init__(self, k_hop: int, t_cnv_krnl_sz: int, n_node: int, channels: Tuple[int, int, int], dropout: float): Spatio-temporal convolutional block, which contains two tem... | 4a9da6eedab6ef3d72492b9445d7a9923abc9833 | <|skeleton|>
class STConvBlock:
def __init__(self, k_hop: int, t_cnv_krnl_sz: int, n_node: int, channels: Tuple[int, int, int], dropout: float):
"""Spatio-temporal convolutional block, which contains two temporal gated convolution layers and one spatial graph convolution layer in the middle. :param k_hop: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class STConvBlock:
def __init__(self, k_hop: int, t_cnv_krnl_sz: int, n_node: int, channels: Tuple[int, int, int], dropout: float):
"""Spatio-temporal convolutional block, which contains two temporal gated convolution layers and one spatial graph convolution layer in the middle. :param k_hop: length of Cheb... | the_stack_v2_python_sparse | networks/stgcn.py | WfcCross/traffic-prediction | train | 0 | |
9cb79d0b5ef5ae4005c29fd97208432b06dc481b | [
"super(NetworkXFigure, self).__init__(name=name, width=width, height=height, interactive=interactive, font=font, logging=logging, template=template, port=port, **kwargs)\nself.G = graph\nself._save_data()",
"data = json_graph.node_link_data(self.G)\ns = json.dumps(data)\nreturn s"
] | <|body_start_0|>
super(NetworkXFigure, self).__init__(name=name, width=width, height=height, interactive=interactive, font=font, logging=logging, template=template, port=port, **kwargs)
self.G = graph
self._save_data()
<|end_body_0|>
<|body_start_1|>
data = json_graph.node_link_data(sel... | NetworkXFigure | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetworkXFigure:
def __init__(self, graph, name='figure', width=400, height=100, interactive=True, font='Asap', logging=False, template=None, port=8000, **kwargs):
"""data : networkx gprah networkx graph used for the plot. name : string name of visualisation. This will appear in the title... | stack_v2_sparse_classes_75kplus_train_073053 | 1,847 | no_license | [
{
"docstring": "data : networkx gprah networkx graph used for the plot. name : string name of visualisation. This will appear in the title bar of the webpage, and is the name of the folder where your files will be stored. width : int width of the figure in pixels (default is 400) height : int height of the figu... | 2 | stack_v2_sparse_classes_30k_train_022047 | Implement the Python class `NetworkXFigure` described below.
Class description:
Implement the NetworkXFigure class.
Method signatures and docstrings:
- def __init__(self, graph, name='figure', width=400, height=100, interactive=True, font='Asap', logging=False, template=None, port=8000, **kwargs): data : networkx gpr... | Implement the Python class `NetworkXFigure` described below.
Class description:
Implement the NetworkXFigure class.
Method signatures and docstrings:
- def __init__(self, graph, name='figure', width=400, height=100, interactive=True, font='Asap', logging=False, template=None, port=8000, **kwargs): data : networkx gpr... | 50aa44b1c893abdfdf4e8a6510ac9f54706c3554 | <|skeleton|>
class NetworkXFigure:
def __init__(self, graph, name='figure', width=400, height=100, interactive=True, font='Asap', logging=False, template=None, port=8000, **kwargs):
"""data : networkx gprah networkx graph used for the plot. name : string name of visualisation. This will appear in the title... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NetworkXFigure:
def __init__(self, graph, name='figure', width=400, height=100, interactive=True, font='Asap', logging=False, template=None, port=8000, **kwargs):
"""data : networkx gprah networkx graph used for the plot. name : string name of visualisation. This will appear in the title bar of the we... | the_stack_v2_python_sparse | d3py/networkx_figure.py | bigsnarfdude/d3py | train | 4 | |
5517b21befbc475c798db26286b46a79e8f7b66b | [
"self.N = ZZ(N)\nself.n = euler_phi(N)\nself.m = m\nself.__i = 0\nself.K = IntegerModRing(q)\nif self.n != D.n:\n raise ValueError('Noise distribution has dimensions %d != %d' % (D.n, self.n))\nself.D = D\nself.q = q\nif poly is not None:\n self.poly = poly\nelse:\n self.poly = cyclotomic_polynomial(self.N... | <|body_start_0|>
self.N = ZZ(N)
self.n = euler_phi(N)
self.m = m
self.__i = 0
self.K = IntegerModRing(q)
if self.n != D.n:
raise ValueError('Noise distribution has dimensions %d != %d' % (D.n, self.n))
self.D = D
self.q = q
if poly is n... | Ring Learning with Errors oracle. .. automethod:: __init__ .. automethod:: __call__ | RingLWE | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RingLWE:
"""Ring Learning with Errors oracle. .. automethod:: __init__ .. automethod:: __call__"""
def __init__(self, N, q, D, poly=None, secret_dist='uniform', m=None):
"""Construct a Ring-LWE oracle in dimension ``n=phi(N)`` over a ring of order ``q`` with noise distribution ``D``.... | stack_v2_sparse_classes_75kplus_train_073054 | 31,769 | no_license | [
{
"docstring": "Construct a Ring-LWE oracle in dimension ``n=phi(N)`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``N`` - index of cyclotomic polynomial (integer > 0, must be power of 2) - ``q`` - modulus typically > N (integer > 0) - ``D`` - an error distribution such as an instance of :... | 3 | stack_v2_sparse_classes_30k_train_037836 | Implement the Python class `RingLWE` described below.
Class description:
Ring Learning with Errors oracle. .. automethod:: __init__ .. automethod:: __call__
Method signatures and docstrings:
- def __init__(self, N, q, D, poly=None, secret_dist='uniform', m=None): Construct a Ring-LWE oracle in dimension ``n=phi(N)`` ... | Implement the Python class `RingLWE` described below.
Class description:
Ring Learning with Errors oracle. .. automethod:: __init__ .. automethod:: __call__
Method signatures and docstrings:
- def __init__(self, N, q, D, poly=None, secret_dist='uniform', m=None): Construct a Ring-LWE oracle in dimension ``n=phi(N)`` ... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class RingLWE:
"""Ring Learning with Errors oracle. .. automethod:: __init__ .. automethod:: __call__"""
def __init__(self, N, q, D, poly=None, secret_dist='uniform', m=None):
"""Construct a Ring-LWE oracle in dimension ``n=phi(N)`` over a ring of order ``q`` with noise distribution ``D``.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RingLWE:
"""Ring Learning with Errors oracle. .. automethod:: __init__ .. automethod:: __call__"""
def __init__(self, N, q, D, poly=None, secret_dist='uniform', m=None):
"""Construct a Ring-LWE oracle in dimension ``n=phi(N)`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``N... | the_stack_v2_python_sparse | sage/src/sage/crypto/lwe.py | bopopescu/geosci | train | 0 |
4a993a401097f076880d9eea8c5066af9daae10d | [
"super().__init__(config)\nself.indexCorpusRef = indexCorpusRef\nself.k = 2.0\nself.b = 0.75",
"index = indexCorpus.getIndex()\navgdl = self.indexCorpusRef.getCorpus().getNbMoyenMot()\nokapiIndex = dict()\nfor doc, dictTermeFreq in index.items():\n tmp = dict()\n for term, freq in dictTermeFreq.items():\n ... | <|body_start_0|>
super().__init__(config)
self.indexCorpusRef = indexCorpusRef
self.k = 2.0
self.b = 0.75
<|end_body_0|>
<|body_start_1|>
index = indexCorpus.getIndex()
avgdl = self.indexCorpusRef.getCorpus().getNbMoyenMot()
okapiIndex = dict()
for doc, d... | Cette classe attribue comme score aux termes, leur score okapi d'après un corpus de référence et selon l'agrégation choisie dans la config. | ClasseurOkapi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClasseurOkapi:
"""Cette classe attribue comme score aux termes, leur score okapi d'après un corpus de référence et selon l'agrégation choisie dans la config."""
def __init__(self, config, indexCorpusRef):
"""Constructeur de la classe ClasseurOkapi Parameters ---------- config : Confi... | stack_v2_sparse_classes_75kplus_train_073055 | 2,776 | no_license | [
{
"docstring": "Constructeur de la classe ClasseurOkapi Parameters ---------- config : Config Objet qui contient tous les paramètres de la configuration de l'extraction. indexCorpusRef : Indexeur L'index du corpus de référence qui permet de calculer l'idf pour okapi.",
"name": "__init__",
"signature": "... | 2 | null | Implement the Python class `ClasseurOkapi` described below.
Class description:
Cette classe attribue comme score aux termes, leur score okapi d'après un corpus de référence et selon l'agrégation choisie dans la config.
Method signatures and docstrings:
- def __init__(self, config, indexCorpusRef): Constructeur de la ... | Implement the Python class `ClasseurOkapi` described below.
Class description:
Cette classe attribue comme score aux termes, leur score okapi d'après un corpus de référence et selon l'agrégation choisie dans la config.
Method signatures and docstrings:
- def __init__(self, config, indexCorpusRef): Constructeur de la ... | e47213fe33f6f6b404c60b0c830c1daa9e57c9fd | <|skeleton|>
class ClasseurOkapi:
"""Cette classe attribue comme score aux termes, leur score okapi d'après un corpus de référence et selon l'agrégation choisie dans la config."""
def __init__(self, config, indexCorpusRef):
"""Constructeur de la classe ClasseurOkapi Parameters ---------- config : Confi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClasseurOkapi:
"""Cette classe attribue comme score aux termes, leur score okapi d'après un corpus de référence et selon l'agrégation choisie dans la config."""
def __init__(self, config, indexCorpusRef):
"""Constructeur de la classe ClasseurOkapi Parameters ---------- config : Config Objet qui c... | the_stack_v2_python_sparse | PLDAC/classeur/classeurOkapi.py | antocad/Sorbonne_Master_DAC | train | 0 |
e270144ca54ab5fba77c49ebc0a5dd127302b0b7 | [
"res = [[]]\nfor num in nums:\n res = res + [[num] + i for i in res]\nreturn res",
"dic = dict()\nfor num in nums:\n dic[num] = dic.get(num, 0) + 1\nres = [[]]\nfor i, v in dic.items():\n tmp = res.copy()\n for j in res:\n tmp.extend((j + [i] * (k + 1) for k in range(v)))\n res = tmp\nreturn... | <|body_start_0|>
res = [[]]
for num in nums:
res = res + [[num] + i for i in res]
return res
<|end_body_0|>
<|body_start_1|>
dic = dict()
for num in nums:
dic[num] = dic.get(num, 0) + 1
res = [[]]
for i, v in dic.items():
tmp =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subsets(self, nums: List[int]) -> List[List[int]]:
"""78. 子集 无重复"""
<|body_0|>
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""90. 子集 II 给你一个整数数组 nums ，其中可能包含重复元素，请你返回该数组所有可能的子集（幂集）。 解集 不能 包含重复的子集。返回的解集中，子集可以按 任意顺序 排列。"""
<|body... | stack_v2_sparse_classes_75kplus_train_073056 | 1,094 | no_license | [
{
"docstring": "78. 子集 无重复",
"name": "subsets",
"signature": "def subsets(self, nums: List[int]) -> List[List[int]]"
},
{
"docstring": "90. 子集 II 给你一个整数数组 nums ，其中可能包含重复元素，请你返回该数组所有可能的子集（幂集）。 解集 不能 包含重复的子集。返回的解集中，子集可以按 任意顺序 排列。",
"name": "subsetsWithDup",
"signature": "def subsetsWithDup... | 2 | stack_v2_sparse_classes_30k_train_029470 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsets(self, nums: List[int]) -> List[List[int]]: 78. 子集 无重复
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: 90. 子集 II 给你一个整数数组 nums ，其中可能包含重复元素，请你返回该数组所有可能的... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsets(self, nums: List[int]) -> List[List[int]]: 78. 子集 无重复
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: 90. 子集 II 给你一个整数数组 nums ，其中可能包含重复元素，请你返回该数组所有可能的... | 330330ef6bc42eeb17f4dea53c30d230506b4e8f | <|skeleton|>
class Solution:
def subsets(self, nums: List[int]) -> List[List[int]]:
"""78. 子集 无重复"""
<|body_0|>
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""90. 子集 II 给你一个整数数组 nums ，其中可能包含重复元素，请你返回该数组所有可能的子集（幂集）。 解集 不能 包含重复的子集。返回的解集中，子集可以按 任意顺序 排列。"""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def subsets(self, nums: List[int]) -> List[List[int]]:
"""78. 子集 无重复"""
res = [[]]
for num in nums:
res = res + [[num] + i for i in res]
return res
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""90. 子集 II 给你一个整数数组 nums ，其中可能包... | the_stack_v2_python_sparse | Code/leetcode_everyday/0331.py | NiceToMeeetU/ToGetReady | train | 0 | |
13899fbb5823e3e140cf5c1738ba6da5be2ccd0b | [
"self.service = 'pcm'\nself.root = 'ManagedSystem'\nself.ip = ip\nself.x_api_session = x_api_session\nself.managedsystem_id = managedsystem_id",
"HTTP_object = HTTPClient.HTTPClient(self.service, self.ip, self.root, 'application/vnd.ibm.powervm.pcm.xml', self.x_api_session)\nHTTP_object.HTTPGet(append=self.manage... | <|body_start_0|>
self.service = 'pcm'
self.root = 'ManagedSystem'
self.ip = ip
self.x_api_session = x_api_session
self.managedsystem_id = managedsystem_id
<|end_body_0|>
<|body_start_1|>
HTTP_object = HTTPClient.HTTPClient(self.service, self.ip, self.root, 'application/v... | ManagedSystemPcmPreference | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ManagedSystemPcmPreference:
def __init__(self, ip, managedsystem_id, x_api_session):
"""Initializes the required arguments for ManagedSystemPcmPreferences Args: ip : IP address of the HMC Managedsystem_id : The managed system uuid for which the pcm preferences has to be obtained x_api_se... | stack_v2_sparse_classes_75kplus_train_073057 | 6,271 | permissive | [
{
"docstring": "Initializes the required arguments for ManagedSystemPcmPreferences Args: ip : IP address of the HMC Managedsystem_id : The managed system uuid for which the pcm preferences has to be obtained x_api_session: The session id for the current session",
"name": "__init__",
"signature": "def __... | 4 | stack_v2_sparse_classes_30k_train_036025 | Implement the Python class `ManagedSystemPcmPreference` described below.
Class description:
Implement the ManagedSystemPcmPreference class.
Method signatures and docstrings:
- def __init__(self, ip, managedsystem_id, x_api_session): Initializes the required arguments for ManagedSystemPcmPreferences Args: ip : IP addr... | Implement the Python class `ManagedSystemPcmPreference` described below.
Class description:
Implement the ManagedSystemPcmPreference class.
Method signatures and docstrings:
- def __init__(self, ip, managedsystem_id, x_api_session): Initializes the required arguments for ManagedSystemPcmPreferences Args: ip : IP addr... | 8e46a5a25a57d07f0612404f4b978234d6d2cd4b | <|skeleton|>
class ManagedSystemPcmPreference:
def __init__(self, ip, managedsystem_id, x_api_session):
"""Initializes the required arguments for ManagedSystemPcmPreferences Args: ip : IP address of the HMC Managedsystem_id : The managed system uuid for which the pcm preferences has to be obtained x_api_se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ManagedSystemPcmPreference:
def __init__(self, ip, managedsystem_id, x_api_session):
"""Initializes the required arguments for ManagedSystemPcmPreferences Args: ip : IP address of the HMC Managedsystem_id : The managed system uuid for which the pcm preferences has to be obtained x_api_session: The ses... | the_stack_v2_python_sparse | src/performance_capacity_monitor/ManagedSystemPcm.py | Python3pkg/HmcRestClient | train | 0 | |
0c537649fc89f3a6db7c05b8ef1c75265fe7524d | [
"reflection_table = SumIntensityReducer.reduce_on_intensities(reflection_table)\nreflection_table = ScaleIntensityReducer.reduce_on_intensities(reflection_table)\nreturn reflection_table",
"reflection_table = SumIntensityReducer.apply_scaling_factors(reflection_table)\nreflection_table = ScaleIntensityReducer.app... | <|body_start_0|>
reflection_table = SumIntensityReducer.reduce_on_intensities(reflection_table)
reflection_table = ScaleIntensityReducer.reduce_on_intensities(reflection_table)
return reflection_table
<|end_body_0|>
<|body_start_1|>
reflection_table = SumIntensityReducer.apply_scaling_f... | Reduction methods for data with sum and scale intensities. Only reflections with valid values for all intensity types are retained. | SumAndScaleIntensityReducer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SumAndScaleIntensityReducer:
"""Reduction methods for data with sum and scale intensities. Only reflections with valid values for all intensity types are retained."""
def reduce_on_intensities(reflection_table):
"""Select those with valid reflections for all values."""
<|body... | stack_v2_sparse_classes_75kplus_train_073058 | 38,270 | permissive | [
{
"docstring": "Select those with valid reflections for all values.",
"name": "reduce_on_intensities",
"signature": "def reduce_on_intensities(reflection_table)"
},
{
"docstring": "Apply corrections to the intensities and variances.",
"name": "apply_scaling_factors",
"signature": "def ap... | 2 | stack_v2_sparse_classes_30k_train_004285 | Implement the Python class `SumAndScaleIntensityReducer` described below.
Class description:
Reduction methods for data with sum and scale intensities. Only reflections with valid values for all intensity types are retained.
Method signatures and docstrings:
- def reduce_on_intensities(reflection_table): Select those... | Implement the Python class `SumAndScaleIntensityReducer` described below.
Class description:
Reduction methods for data with sum and scale intensities. Only reflections with valid values for all intensity types are retained.
Method signatures and docstrings:
- def reduce_on_intensities(reflection_table): Select those... | 88bf7f7c5ac44defc046ebf0719cde748092cfff | <|skeleton|>
class SumAndScaleIntensityReducer:
"""Reduction methods for data with sum and scale intensities. Only reflections with valid values for all intensity types are retained."""
def reduce_on_intensities(reflection_table):
"""Select those with valid reflections for all values."""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SumAndScaleIntensityReducer:
"""Reduction methods for data with sum and scale intensities. Only reflections with valid values for all intensity types are retained."""
def reduce_on_intensities(reflection_table):
"""Select those with valid reflections for all values."""
reflection_table = ... | the_stack_v2_python_sparse | src/dials/util/filter_reflections.py | dials/dials | train | 71 |
d33f5928e4414fbed5d4a09ae32baa2c6f413c19 | [
"super(Decoder, self).__init__()\nself.input_size = input_size\nself.hidden_size = hidden_size\nself.num_layers = num_layers\nself.proba_output = proba_output\nif rnn_type == 'LSTM':\n self.model = nn.LSTM(input_size=self.input_size, hidden_size=self.hidden_size, num_layers=self.num_layers, batch_first=batch_fir... | <|body_start_0|>
super(Decoder, self).__init__()
self.input_size = input_size
self.hidden_size = hidden_size
self.num_layers = num_layers
self.proba_output = proba_output
if rnn_type == 'LSTM':
self.model = nn.LSTM(input_size=self.input_size, hidden_size=self.... | Decoder Network | Decoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""Decoder Network"""
def __init__(self, input_size, hidden_size, num_layers, dropout=0, batch_first=True, rnn_type='LSTM', proba_output=False):
"""Create Encoder Args: input_size (int): number of features per time step hidden_size (int): number of hidden nodes per time step... | stack_v2_sparse_classes_75kplus_train_073059 | 14,969 | permissive | [
{
"docstring": "Create Encoder Args: input_size (int): number of features per time step hidden_size (int): number of hidden nodes per time step num_layers (int): number of layers dropout (float, optional): percentage of nodes that should switched out at any term. Defaults to 0. batch_first (bool, optional): if ... | 2 | stack_v2_sparse_classes_30k_train_038284 | Implement the Python class `Decoder` described below.
Class description:
Decoder Network
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, num_layers, dropout=0, batch_first=True, rnn_type='LSTM', proba_output=False): Create Encoder Args: input_size (int): number of features per time ste... | Implement the Python class `Decoder` described below.
Class description:
Decoder Network
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, num_layers, dropout=0, batch_first=True, rnn_type='LSTM', proba_output=False): Create Encoder Args: input_size (int): number of features per time ste... | 5b4a61b5dd0bc259ffe68223877949ef4ebfa5e3 | <|skeleton|>
class Decoder:
"""Decoder Network"""
def __init__(self, input_size, hidden_size, num_layers, dropout=0, batch_first=True, rnn_type='LSTM', proba_output=False):
"""Create Encoder Args: input_size (int): number of features per time step hidden_size (int): number of hidden nodes per time step... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
"""Decoder Network"""
def __init__(self, input_size, hidden_size, num_layers, dropout=0, batch_first=True, rnn_type='LSTM', proba_output=False):
"""Create Encoder Args: input_size (int): number of features per time step hidden_size (int): number of hidden nodes per time step num_layers (... | the_stack_v2_python_sparse | src/models/anomalia/layers.py | maurony/ts-vrae | train | 1 |
7c34c1662c0e62da35a805dbb0ac6efa7ac5f12e | [
"self.w = INITIALIZERS[initializer](inputdim, units) if initializer else INITIALIZERS['random'](inputdim, units)\nself.regularizer = regularizer if regularizer else 'l'\nself.activation = activation\nself.dropout = dropout\nself.optimizer = None\nself.dz_dw = None\nself.dz_dx = None\nself.da_dz = None\nself.dr_dw =... | <|body_start_0|>
self.w = INITIALIZERS[initializer](inputdim, units) if initializer else INITIALIZERS['random'](inputdim, units)
self.regularizer = regularizer if regularizer else 'l'
self.activation = activation
self.dropout = dropout
self.optimizer = None
self.dz_dw = N... | Default dense layer class | DefaultDenseLayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefaultDenseLayer:
"""Default dense layer class"""
def __init__(self, inputdim: int, units: int, activation: str, initializer: str=None, regularizer: str=None, dropout: float=None) -> None:
"""Initialize default dense layer Args: inputdim: number of input units units: number of units... | stack_v2_sparse_classes_75kplus_train_073060 | 5,858 | no_license | [
{
"docstring": "Initialize default dense layer Args: inputdim: number of input units units: number of units in layer activation: activation function string => should be a key of ACTIVATIONS initializer: weight initialization scheme => should be a key of INITIALIZERS regularizer: regularization method => should ... | 3 | stack_v2_sparse_classes_30k_train_028905 | Implement the Python class `DefaultDenseLayer` described below.
Class description:
Default dense layer class
Method signatures and docstrings:
- def __init__(self, inputdim: int, units: int, activation: str, initializer: str=None, regularizer: str=None, dropout: float=None) -> None: Initialize default dense layer Arg... | Implement the Python class `DefaultDenseLayer` described below.
Class description:
Default dense layer class
Method signatures and docstrings:
- def __init__(self, inputdim: int, units: int, activation: str, initializer: str=None, regularizer: str=None, dropout: float=None) -> None: Initialize default dense layer Arg... | 9e6d3846968597349eabda3eb07e70253baf4786 | <|skeleton|>
class DefaultDenseLayer:
"""Default dense layer class"""
def __init__(self, inputdim: int, units: int, activation: str, initializer: str=None, regularizer: str=None, dropout: float=None) -> None:
"""Initialize default dense layer Args: inputdim: number of input units units: number of units... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DefaultDenseLayer:
"""Default dense layer class"""
def __init__(self, inputdim: int, units: int, activation: str, initializer: str=None, regularizer: str=None, dropout: float=None) -> None:
"""Initialize default dense layer Args: inputdim: number of input units units: number of units in layer act... | the_stack_v2_python_sparse | Packages/mlr/NN/Layer.py | akshat0123/MLReview | train | 0 |
9afc2eed4b3540dae8c961b8def76698cc1cbfe6 | [
"global mongo\nmongo = MongoDb()\nmongo.db = 'xyh_api'\nmongo.collection = 'cj'\nprint('the pid is %s ,and ppid is %s ' % (os.getpid(), os.getppid()))\nfor i in range(len(CJ.price_list) - 1):\n low_price = CJ.price_list[i]\n high_price = CJ.price_list[i + 1]\n cls.deep_exec(advertiser_id, low_price, high_p... | <|body_start_0|>
global mongo
mongo = MongoDb()
mongo.db = 'xyh_api'
mongo.collection = 'cj'
print('the pid is %s ,and ppid is %s ' % (os.getpid(), os.getppid()))
for i in range(len(CJ.price_list) - 1):
low_price = CJ.price_list[i]
high_price = CJ.... | Execute | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Execute:
def execute(cls, advertiser_id):
"""The Thread use global parameter together (pymongo can not connect before create fork ) :param advertiser_id: :return:"""
<|body_0|>
def deep_exec(cls, advertiser_id, low_price, high_price):
"""闭包 :param cls: :param adverti... | stack_v2_sparse_classes_75kplus_train_073061 | 6,683 | no_license | [
{
"docstring": "The Thread use global parameter together (pymongo can not connect before create fork ) :param advertiser_id: :return:",
"name": "execute",
"signature": "def execute(cls, advertiser_id)"
},
{
"docstring": "闭包 :param cls: :param advertiser_id: :param low_price: :param high_price: :... | 2 | stack_v2_sparse_classes_30k_train_004044 | Implement the Python class `Execute` described below.
Class description:
Implement the Execute class.
Method signatures and docstrings:
- def execute(cls, advertiser_id): The Thread use global parameter together (pymongo can not connect before create fork ) :param advertiser_id: :return:
- def deep_exec(cls, advertis... | Implement the Python class `Execute` described below.
Class description:
Implement the Execute class.
Method signatures and docstrings:
- def execute(cls, advertiser_id): The Thread use global parameter together (pymongo can not connect before create fork ) :param advertiser_id: :return:
- def deep_exec(cls, advertis... | f40e4f21c3805db164ce84e24711fb9b27c3fa5b | <|skeleton|>
class Execute:
def execute(cls, advertiser_id):
"""The Thread use global parameter together (pymongo can not connect before create fork ) :param advertiser_id: :return:"""
<|body_0|>
def deep_exec(cls, advertiser_id, low_price, high_price):
"""闭包 :param cls: :param adverti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Execute:
def execute(cls, advertiser_id):
"""The Thread use global parameter together (pymongo can not connect before create fork ) :param advertiser_id: :return:"""
global mongo
mongo = MongoDb()
mongo.db = 'xyh_api'
mongo.collection = 'cj'
print('the pid is %s... | the_stack_v2_python_sparse | ApiClass/api/Cj.py | First-met47L/xyhApi | train | 0 | |
74cada21c63162ab8915a1fd637e80d2a82fa9ff | [
"super(LogWatcherBuilder, self).__init__(*args, **kwargs)\nself._arguments = None\nreturn",
"if self._product is None:\n self._product = LogWatcher(output=self.output_file, connection=self.node.connection, arguments=self.arguments)\nreturn self._product"
] | <|body_start_0|>
super(LogWatcherBuilder, self).__init__(*args, **kwargs)
self._arguments = None
return
<|end_body_0|>
<|body_start_1|>
if self._product is None:
self._product = LogWatcher(output=self.output_file, connection=self.node.connection, arguments=self.arguments)
... | A builder of log watchers | LogWatcherBuilder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogWatcherBuilder:
"""A builder of log watchers"""
def __init__(self, *args, **kwargs):
""":param: - `node`: device to watch - `parameters`: named tuple built from config file - `output`: storageobject to send output to - `name`: a name to add to the output file - `event`: event to w... | stack_v2_sparse_classes_75kplus_train_073062 | 7,765 | permissive | [
{
"docstring": ":param: - `node`: device to watch - `parameters`: named tuple built from config file - `output`: storageobject to send output to - `name`: a name to add to the output file - `event`: event to watch to decide when to stop",
"name": "__init__",
"signature": "def __init__(self, *args, **kwa... | 2 | stack_v2_sparse_classes_30k_train_010835 | Implement the Python class `LogWatcherBuilder` described below.
Class description:
A builder of log watchers
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): :param: - `node`: device to watch - `parameters`: named tuple built from config file - `output`: storageobject to send output to - `name... | Implement the Python class `LogWatcherBuilder` described below.
Class description:
A builder of log watchers
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): :param: - `node`: device to watch - `parameters`: named tuple built from config file - `output`: storageobject to send output to - `name... | b4d1c77e1d611fe2b30768b42bdc7493afb0ea95 | <|skeleton|>
class LogWatcherBuilder:
"""A builder of log watchers"""
def __init__(self, *args, **kwargs):
""":param: - `node`: device to watch - `parameters`: named tuple built from config file - `output`: storageobject to send output to - `name`: a name to add to the output file - `event`: event to w... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LogWatcherBuilder:
"""A builder of log watchers"""
def __init__(self, *args, **kwargs):
""":param: - `node`: device to watch - `parameters`: named tuple built from config file - `output`: storageobject to send output to - `name`: a name to add to the output file - `event`: event to watch to decid... | the_stack_v2_python_sparse | apetools/builders/subbuilders/logwatcherbuilders.py | russell-n/oldape | train | 0 |
3801ed79f7c258e89672eb21a2c6c1d76b473ee8 | [
"subv = SimpleMachineVertex(None, '')\npl = Placement(subv, 0, 0, 1)\nPlacements([pl])",
"pls = Placements()\nself.assertEqual(pls._placements, dict())\nself.assertEqual(pls._machine_vertices, dict())",
"subv = list()\nfor i in range(5):\n subv.append(SimpleMachineVertex(None, ''))\npl = list()\nfor i in ran... | <|body_start_0|>
subv = SimpleMachineVertex(None, '')
pl = Placement(subv, 0, 0, 1)
Placements([pl])
<|end_body_0|>
<|body_start_1|>
pls = Placements()
self.assertEqual(pls._placements, dict())
self.assertEqual(pls._machine_vertices, dict())
<|end_body_1|>
<|body_start_... | tester for placements object in pacman.model.placements.placements | TestPlacements | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPlacements:
"""tester for placements object in pacman.model.placements.placements"""
def test_create_new_placements(self):
"""test creating a placements object :return:"""
<|body_0|>
def test_create_new_empty_placements(self):
"""checks that creating an empty... | stack_v2_sparse_classes_75kplus_train_073063 | 2,548 | no_license | [
{
"docstring": "test creating a placements object :return:",
"name": "test_create_new_placements",
"signature": "def test_create_new_placements(self)"
},
{
"docstring": "checks that creating an empty placements object is valid :return:",
"name": "test_create_new_empty_placements",
"signa... | 5 | stack_v2_sparse_classes_30k_train_021922 | Implement the Python class `TestPlacements` described below.
Class description:
tester for placements object in pacman.model.placements.placements
Method signatures and docstrings:
- def test_create_new_placements(self): test creating a placements object :return:
- def test_create_new_empty_placements(self): checks t... | Implement the Python class `TestPlacements` described below.
Class description:
tester for placements object in pacman.model.placements.placements
Method signatures and docstrings:
- def test_create_new_placements(self): test creating a placements object :return:
- def test_create_new_empty_placements(self): checks t... | 5c2faba4d823e9341e5c18f61ea9bf8c6e15b687 | <|skeleton|>
class TestPlacements:
"""tester for placements object in pacman.model.placements.placements"""
def test_create_new_placements(self):
"""test creating a placements object :return:"""
<|body_0|>
def test_create_new_empty_placements(self):
"""checks that creating an empty... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestPlacements:
"""tester for placements object in pacman.model.placements.placements"""
def test_create_new_placements(self):
"""test creating a placements object :return:"""
subv = SimpleMachineVertex(None, '')
pl = Placement(subv, 0, 0, 1)
Placements([pl])
def test... | the_stack_v2_python_sparse | unittests/model_tests/placement_tests/test_placements_model.py | kfriesth/PACMAN | train | 0 |
d9b1fb5855f68d002f52a538077bc2b88fac4ab1 | [
"if not root:\n return\nimport collections\nqueue = collections.deque()\nqueue.append(root)\nwhile queue:\n for _ in range(len(queue)):\n node = queue.popleft()\n if node.left:\n queue.append(node.left)\n if node.right:\n queue.append(node.right)\n node.left, ... | <|body_start_0|>
if not root:
return
import collections
queue = collections.deque()
queue.append(root)
while queue:
for _ in range(len(queue)):
node = queue.popleft()
if node.left:
queue.append(node.left)... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mirrorTree_1(self, root: TreeNode) -> TreeNode:
"""辅助栈（或队列）：广度优先搜索 时间复杂度 O(N)： 其中 N 为二叉树的节点数量，建立二叉树镜像需要遍历树的所有节点，占用 O(N) 时间。 空间复杂度 O(N)： 最差情况下（当为满二叉树时），栈 stack 最多同时存储 N/2 个节点，占用 O(N) 额外空间 :param root: :return:"""
<|body_0|>
def mirrorTree_2(self, root: TreeNode)... | stack_v2_sparse_classes_75kplus_train_073064 | 2,479 | no_license | [
{
"docstring": "辅助栈（或队列）：广度优先搜索 时间复杂度 O(N)： 其中 N 为二叉树的节点数量，建立二叉树镜像需要遍历树的所有节点，占用 O(N) 时间。 空间复杂度 O(N)： 最差情况下（当为满二叉树时），栈 stack 最多同时存储 N/2 个节点，占用 O(N) 额外空间 :param root: :return:",
"name": "mirrorTree_1",
"signature": "def mirrorTree_1(self, root: TreeNode) -> TreeNode"
},
{
"docstring": "递归：深度优先搜索 时... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mirrorTree_1(self, root: TreeNode) -> TreeNode: 辅助栈（或队列）：广度优先搜索 时间复杂度 O(N)： 其中 N 为二叉树的节点数量，建立二叉树镜像需要遍历树的所有节点，占用 O(N) 时间。 空间复杂度 O(N)： 最差情况下（当为满二叉树时），栈 stack 最多同时存储 N/2 个节点，占用 ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mirrorTree_1(self, root: TreeNode) -> TreeNode: 辅助栈（或队列）：广度优先搜索 时间复杂度 O(N)： 其中 N 为二叉树的节点数量，建立二叉树镜像需要遍历树的所有节点，占用 O(N) 时间。 空间复杂度 O(N)： 最差情况下（当为满二叉树时），栈 stack 最多同时存储 N/2 个节点，占用 ... | 62419b49000e79962bcdc99cd98afd2fb82ea345 | <|skeleton|>
class Solution:
def mirrorTree_1(self, root: TreeNode) -> TreeNode:
"""辅助栈（或队列）：广度优先搜索 时间复杂度 O(N)： 其中 N 为二叉树的节点数量，建立二叉树镜像需要遍历树的所有节点，占用 O(N) 时间。 空间复杂度 O(N)： 最差情况下（当为满二叉树时），栈 stack 最多同时存储 N/2 个节点，占用 O(N) 额外空间 :param root: :return:"""
<|body_0|>
def mirrorTree_2(self, root: TreeNode)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mirrorTree_1(self, root: TreeNode) -> TreeNode:
"""辅助栈（或队列）：广度优先搜索 时间复杂度 O(N)： 其中 N 为二叉树的节点数量，建立二叉树镜像需要遍历树的所有节点，占用 O(N) 时间。 空间复杂度 O(N)： 最差情况下（当为满二叉树时），栈 stack 最多同时存储 N/2 个节点，占用 O(N) 额外空间 :param root: :return:"""
if not root:
return
import collections
q... | the_stack_v2_python_sparse | 剑指 Offer（第 2 版）/mirrorTree.py | MaoningGuan/LeetCode | train | 3 | |
ade4e2711c0e4be2ab7391c863047151edbca670 | [
"self.public_folders_parameters = public_folders_parameters\nself.acropolis_parameters = acropolis_parameters\nself.continue_on_error = continue_on_error\nself.deploy_vms_to_cloud = deploy_vms_to_cloud\nself.glacier_retrieval_type = glacier_retrieval_type\nself.hyperv_parameters = hyperv_parameters\nself.kubernetes... | <|body_start_0|>
self.public_folders_parameters = public_folders_parameters
self.acropolis_parameters = acropolis_parameters
self.continue_on_error = continue_on_error
self.deploy_vms_to_cloud = deploy_vms_to_cloud
self.glacier_retrieval_type = glacier_retrieval_type
self... | Implementation of the 'RecoverTaskRequest' model. Create a Restore Task Request for recovering VMs or mounting volumes to mount points. Attributes: public_folders_parameters (PublicFoldersRestoreParameters): Specifies additional parameters for 'kRecoverO365PublicFolders' restore objects. acropolis_parameters (Acropolis... | RecoverTaskRequest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecoverTaskRequest:
"""Implementation of the 'RecoverTaskRequest' model. Create a Restore Task Request for recovering VMs or mounting volumes to mount points. Attributes: public_folders_parameters (PublicFoldersRestoreParameters): Specifies additional parameters for 'kRecoverO365PublicFolders' re... | stack_v2_sparse_classes_75kplus_train_073065 | 13,406 | permissive | [
{
"docstring": "Constructor for the RecoverTaskRequest class",
"name": "__init__",
"signature": "def __init__(self, public_folders_parameters=None, acropolis_parameters=None, continue_on_error=None, deploy_vms_to_cloud=None, glacier_retrieval_type=None, hyperv_parameters=None, kubernetes_parameters=None... | 2 | stack_v2_sparse_classes_30k_test_000370 | Implement the Python class `RecoverTaskRequest` described below.
Class description:
Implementation of the 'RecoverTaskRequest' model. Create a Restore Task Request for recovering VMs or mounting volumes to mount points. Attributes: public_folders_parameters (PublicFoldersRestoreParameters): Specifies additional parame... | Implement the Python class `RecoverTaskRequest` described below.
Class description:
Implementation of the 'RecoverTaskRequest' model. Create a Restore Task Request for recovering VMs or mounting volumes to mount points. Attributes: public_folders_parameters (PublicFoldersRestoreParameters): Specifies additional parame... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RecoverTaskRequest:
"""Implementation of the 'RecoverTaskRequest' model. Create a Restore Task Request for recovering VMs or mounting volumes to mount points. Attributes: public_folders_parameters (PublicFoldersRestoreParameters): Specifies additional parameters for 'kRecoverO365PublicFolders' re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RecoverTaskRequest:
"""Implementation of the 'RecoverTaskRequest' model. Create a Restore Task Request for recovering VMs or mounting volumes to mount points. Attributes: public_folders_parameters (PublicFoldersRestoreParameters): Specifies additional parameters for 'kRecoverO365PublicFolders' restore objects... | the_stack_v2_python_sparse | cohesity_management_sdk/models/recover_task_request.py | cohesity/management-sdk-python | train | 24 |
f3a6d3467cac101fe045f6a1c37c8795fbb1e426 | [
"while True:\n for read_file in file_list:\n try:\n print('Produced %s', read_file.strip())\n queue.put(read_file.strip())\n time.sleep(random.random())\n except ValueError:\n continue",
"while True:\n try:\n read_file = queue.get()\n p... | <|body_start_0|>
while True:
for read_file in file_list:
try:
print('Produced %s', read_file.strip())
queue.put(read_file.strip())
time.sleep(random.random())
except ValueError:
continue
<... | Producer Consumer Multi Thread Class Summary. Using the Consumer Producer pattern Reference Python Consumer Producer pattern http://agiliq.com/blog/2013/10/producer-consumer-problem-in-python/ Multi Thread Design pattern | ProducerConsumerClassSummary | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProducerConsumerClassSummary:
"""Producer Consumer Multi Thread Class Summary. Using the Consumer Producer pattern Reference Python Consumer Producer pattern http://agiliq.com/blog/2013/10/producer-consumer-problem-in-python/ Multi Thread Design pattern"""
def producer_run(self, file_list):
... | stack_v2_sparse_classes_75kplus_train_073066 | 1,578 | permissive | [
{
"docstring": "Running Producer Setting read word net file into the Queue",
"name": "producer_run",
"signature": "def producer_run(self, file_list)"
},
{
"docstring": "Running Consumer Taking the Calculate average vector",
"name": "consumer_run",
"signature": "def consumer_run(self, wik... | 2 | stack_v2_sparse_classes_30k_train_054477 | Implement the Python class `ProducerConsumerClassSummary` described below.
Class description:
Producer Consumer Multi Thread Class Summary. Using the Consumer Producer pattern Reference Python Consumer Producer pattern http://agiliq.com/blog/2013/10/producer-consumer-problem-in-python/ Multi Thread Design pattern
Met... | Implement the Python class `ProducerConsumerClassSummary` described below.
Class description:
Producer Consumer Multi Thread Class Summary. Using the Consumer Producer pattern Reference Python Consumer Producer pattern http://agiliq.com/blog/2013/10/producer-consumer-problem-in-python/ Multi Thread Design pattern
Met... | 2ea8bf0168ea53c804412b40fdb4d9b70b043073 | <|skeleton|>
class ProducerConsumerClassSummary:
"""Producer Consumer Multi Thread Class Summary. Using the Consumer Producer pattern Reference Python Consumer Producer pattern http://agiliq.com/blog/2013/10/producer-consumer-problem-in-python/ Multi Thread Design pattern"""
def producer_run(self, file_list):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProducerConsumerClassSummary:
"""Producer Consumer Multi Thread Class Summary. Using the Consumer Producer pattern Reference Python Consumer Producer pattern http://agiliq.com/blog/2013/10/producer-consumer-problem-in-python/ Multi Thread Design pattern"""
def producer_run(self, file_list):
"""Ru... | the_stack_v2_python_sparse | summary/producer_consumer_class_summary.py | SnowMasaya/Chainer-Slack-Twitter-Dialogue | train | 56 |
fbb71256f7965c966eaed7226399a3ca76b48f19 | [
"super(PatchDiscriminator, self).__init__()\nuse_bias = norm_layer == nn.InstanceNorm2d\nself.ganFeat_loss = ganFeat_loss\nsequence = [[nn.Conv2d(in_ch, fch, kernel_size=4, stride=2, padding=1, padding_mode=padding_mode), nn.LeakyReLU(0.2, inplace=False)]]\nfor n in range(1, n_layers_D):\n nf_prev = fch\n fch... | <|body_start_0|>
super(PatchDiscriminator, self).__init__()
use_bias = norm_layer == nn.InstanceNorm2d
self.ganFeat_loss = ganFeat_loss
sequence = [[nn.Conv2d(in_ch, fch, kernel_size=4, stride=2, padding=1, padding_mode=padding_mode), nn.LeakyReLU(0.2, inplace=False)]]
for n in r... | PatchDiscriminator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PatchDiscriminator:
def __init__(self, in_ch=6, fch=64, n_layers_D=4, norm_layer=nn.BatchNorm2d, padding_mode='reflect', ganFeat_loss=True):
""":param in_ch: 输入通道数 :param fch: 第一层卷积的通道数"""
<|body_0|>
def forward(self, x):
""":param x: 输入图像 [b, 3, 256, 256] :return:""... | stack_v2_sparse_classes_75kplus_train_073067 | 4,091 | no_license | [
{
"docstring": ":param in_ch: 输入通道数 :param fch: 第一层卷积的通道数",
"name": "__init__",
"signature": "def __init__(self, in_ch=6, fch=64, n_layers_D=4, norm_layer=nn.BatchNorm2d, padding_mode='reflect', ganFeat_loss=True)"
},
{
"docstring": ":param x: 输入图像 [b, 3, 256, 256] :return:",
"name": "forwar... | 2 | null | Implement the Python class `PatchDiscriminator` described below.
Class description:
Implement the PatchDiscriminator class.
Method signatures and docstrings:
- def __init__(self, in_ch=6, fch=64, n_layers_D=4, norm_layer=nn.BatchNorm2d, padding_mode='reflect', ganFeat_loss=True): :param in_ch: 输入通道数 :param fch: 第一层卷积... | Implement the Python class `PatchDiscriminator` described below.
Class description:
Implement the PatchDiscriminator class.
Method signatures and docstrings:
- def __init__(self, in_ch=6, fch=64, n_layers_D=4, norm_layer=nn.BatchNorm2d, padding_mode='reflect', ganFeat_loss=True): :param in_ch: 输入通道数 :param fch: 第一层卷积... | 431b0fc263e461e28d54e1f6a8bb6b39d7bf9e3d | <|skeleton|>
class PatchDiscriminator:
def __init__(self, in_ch=6, fch=64, n_layers_D=4, norm_layer=nn.BatchNorm2d, padding_mode='reflect', ganFeat_loss=True):
""":param in_ch: 输入通道数 :param fch: 第一层卷积的通道数"""
<|body_0|>
def forward(self, x):
""":param x: 输入图像 [b, 3, 256, 256] :return:""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PatchDiscriminator:
def __init__(self, in_ch=6, fch=64, n_layers_D=4, norm_layer=nn.BatchNorm2d, padding_mode='reflect', ganFeat_loss=True):
""":param in_ch: 输入通道数 :param fch: 第一层卷积的通道数"""
super(PatchDiscriminator, self).__init__()
use_bias = norm_layer == nn.InstanceNorm2d
sel... | the_stack_v2_python_sparse | Pix2pix/discriminator.py | WICKKKKK/urban_fabric_generation | train | 6 | |
67191c9d2aa72935e6e6504f77821b3c72c70711 | [
"if not len(viewports) > 0:\n raise Exception('Must provide at least one viewport for MegaViewport!')\nself.viewports = viewports\nself.arc_width = arc_width\nx_min = 16384\ny_min = 16384\nx_max = 0\ny_max = 0\nfor viewport in viewports:\n geometry = ManagedWindow.lookup_viewport_geometry(viewport)\n x_min... | <|body_start_0|>
if not len(viewports) > 0:
raise Exception('Must provide at least one viewport for MegaViewport!')
self.viewports = viewports
self.arc_width = arc_width
x_min = 16384
y_min = 16384
x_max = 0
y_max = 0
for viewport in viewports:... | Helper for converting angular offsets to viewport coordinates across the span of all viewports. It is assumed that: * All given viewports have the same dimensions. * The pointing device is located roughly at the center of the cylinder. | MegaViewport | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MegaViewport:
"""Helper for converting angular offsets to viewport coordinates across the span of all viewports. It is assumed that: * All given viewports have the same dimensions. * The pointing device is located roughly at the center of the cylinder."""
def __init__(self, viewports, arc_wi... | stack_v2_sparse_classes_75kplus_train_073068 | 3,416 | permissive | [
{
"docstring": "Args: viewports (list[str]): List of viewports from left to right. arc_width (float): Physical arc width of all viewports in radians. Raises: Exception: No viewports provided.",
"name": "__init__",
"signature": "def __init__(self, viewports, arc_width)"
},
{
"docstring": "Convert... | 3 | stack_v2_sparse_classes_30k_train_053626 | Implement the Python class `MegaViewport` described below.
Class description:
Helper for converting angular offsets to viewport coordinates across the span of all viewports. It is assumed that: * All given viewports have the same dimensions. * The pointing device is located roughly at the center of the cylinder.
Meth... | Implement the Python class `MegaViewport` described below.
Class description:
Helper for converting angular offsets to viewport coordinates across the span of all viewports. It is assumed that: * All given viewports have the same dimensions. * The pointing device is located roughly at the center of the cylinder.
Meth... | 90233b939bb4873c00a72e84ab3f8d1a776edee8 | <|skeleton|>
class MegaViewport:
"""Helper for converting angular offsets to viewport coordinates across the span of all viewports. It is assumed that: * All given viewports have the same dimensions. * The pointing device is located roughly at the center of the cylinder."""
def __init__(self, viewports, arc_wi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MegaViewport:
"""Helper for converting angular offsets to viewport coordinates across the span of all viewports. It is assumed that: * All given viewports have the same dimensions. * The pointing device is located roughly at the center of the cylinder."""
def __init__(self, viewports, arc_width):
... | the_stack_v2_python_sparse | lg_pointer/src/lg_pointer/megaviewport.py | EndPointCorp/lg_ros_nodes | train | 18 |
755beb1841500cb1e980b91e6f90e5c6e535b5a4 | [
"if not root:\n return None\nroot.left = self.removeLeafNodes(root.left, target)\nroot.right = self.removeLeafNodes(root.right, target)\nif root.left == root.right and root.val == target:\n return None\nelse:\n return root",
"if not root:\n return None\nif not root.left and (not root.right):\n if r... | <|body_start_0|>
if not root:
return None
root.left = self.removeLeafNodes(root.left, target)
root.right = self.removeLeafNodes(root.right, target)
if root.left == root.right and root.val == target:
return None
else:
return root
<|end_body_0|>
... | 简化版本，先处理左右孩子，再处理本身，下面的复杂的写法，也不能算错，只是略显荣誉，但是可以起到剪枝作用 | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""简化版本，先处理左右孩子，再处理本身，下面的复杂的写法，也不能算错，只是略显荣誉，但是可以起到剪枝作用"""
def removeLeafNodes(self, root, target):
""":type root: TreeNode :type target: int :rtype: TreeNode"""
<|body_0|>
def removeLeafNodes(self, root, target):
""":type root: TreeNode :type target: in... | stack_v2_sparse_classes_75kplus_train_073069 | 2,146 | no_license | [
{
"docstring": ":type root: TreeNode :type target: int :rtype: TreeNode",
"name": "removeLeafNodes",
"signature": "def removeLeafNodes(self, root, target)"
},
{
"docstring": ":type root: TreeNode :type target: int :rtype: TreeNode",
"name": "removeLeafNodes",
"signature": "def removeLeaf... | 2 | null | Implement the Python class `Solution` described below.
Class description:
简化版本，先处理左右孩子，再处理本身，下面的复杂的写法，也不能算错，只是略显荣誉，但是可以起到剪枝作用
Method signatures and docstrings:
- def removeLeafNodes(self, root, target): :type root: TreeNode :type target: int :rtype: TreeNode
- def removeLeafNodes(self, root, target): :type root: Tree... | Implement the Python class `Solution` described below.
Class description:
简化版本，先处理左右孩子，再处理本身，下面的复杂的写法，也不能算错，只是略显荣誉，但是可以起到剪枝作用
Method signatures and docstrings:
- def removeLeafNodes(self, root, target): :type root: TreeNode :type target: int :rtype: TreeNode
- def removeLeafNodes(self, root, target): :type root: Tree... | 31012a004ba14ddfb468a91925d86bc2dfb60dd4 | <|skeleton|>
class Solution:
"""简化版本，先处理左右孩子，再处理本身，下面的复杂的写法，也不能算错，只是略显荣誉，但是可以起到剪枝作用"""
def removeLeafNodes(self, root, target):
""":type root: TreeNode :type target: int :rtype: TreeNode"""
<|body_0|>
def removeLeafNodes(self, root, target):
""":type root: TreeNode :type target: in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""简化版本，先处理左右孩子，再处理本身，下面的复杂的写法，也不能算错，只是略显荣誉，但是可以起到剪枝作用"""
def removeLeafNodes(self, root, target):
""":type root: TreeNode :type target: int :rtype: TreeNode"""
if not root:
return None
root.left = self.removeLeafNodes(root.left, target)
root.right = ... | the_stack_v2_python_sparse | tree/DeleteLeavesWithGivenValue.py | yuhangxiaocs/LeetCodePy | train | 1 |
0063da3aa1ca21c6eea415f3e8cc76f8ba762c44 | [
"self.data = data\nself.strict = strict\nself._is_query_dict = isinstance(data, QueryDict)",
"data = self.data.get(field_name)\nif filter_param is bool:\n if data is None:\n return default\n else:\n data = handle_bool_value(data)\ndata = value_filter(data, filter_param, strict=self.strict)\nif... | <|body_start_0|>
self.data = data
self.strict = strict
self._is_query_dict = isinstance(data, QueryDict)
<|end_body_0|>
<|body_start_1|>
data = self.data.get(field_name)
if filter_param is bool:
if data is None:
return default
else:
... | 请求数据过滤器 | DataFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataFilter:
"""请求数据过滤器"""
def __init__(self, data, strict=False):
"""初始化 :param data: 请求数据 :param strict: 严格模式"""
<|body_0|>
def get(self, field_name, filter_param=str, default=None):
"""获取有效字段值 :param field_name: 字段名称 :param filter_param: 过滤参数 :param default: 默认... | stack_v2_sparse_classes_75kplus_train_073070 | 3,763 | no_license | [
{
"docstring": "初始化 :param data: 请求数据 :param strict: 严格模式",
"name": "__init__",
"signature": "def __init__(self, data, strict=False)"
},
{
"docstring": "获取有效字段值 :param field_name: 字段名称 :param filter_param: 过滤参数 :param default: 默认值 :return: 字段值",
"name": "get",
"signature": "def get(self,... | 3 | null | Implement the Python class `DataFilter` described below.
Class description:
请求数据过滤器
Method signatures and docstrings:
- def __init__(self, data, strict=False): 初始化 :param data: 请求数据 :param strict: 严格模式
- def get(self, field_name, filter_param=str, default=None): 获取有效字段值 :param field_name: 字段名称 :param filter_param: 过滤... | Implement the Python class `DataFilter` described below.
Class description:
请求数据过滤器
Method signatures and docstrings:
- def __init__(self, data, strict=False): 初始化 :param data: 请求数据 :param strict: 严格模式
- def get(self, field_name, filter_param=str, default=None): 获取有效字段值 :param field_name: 字段名称 :param filter_param: 过滤... | a4502d14652c6a926e74be6d0f53b2b50ada9c3c | <|skeleton|>
class DataFilter:
"""请求数据过滤器"""
def __init__(self, data, strict=False):
"""初始化 :param data: 请求数据 :param strict: 严格模式"""
<|body_0|>
def get(self, field_name, filter_param=str, default=None):
"""获取有效字段值 :param field_name: 字段名称 :param filter_param: 过滤参数 :param default: 默认... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataFilter:
"""请求数据过滤器"""
def __init__(self, data, strict=False):
"""初始化 :param data: 请求数据 :param strict: 严格模式"""
self.data = data
self.strict = strict
self._is_query_dict = isinstance(data, QueryDict)
def get(self, field_name, filter_param=str, default=None):
... | the_stack_v2_python_sparse | sv/sv_base/extensions/rest/request.py | xianzhishenqie/project_template | train | 1 |
fed57dc3bb8cc0043c1505cca7ff05c86473b362 | [
"super().__init__()\nself.inventory = None\nself.supplier_inventory = None\nself.indicators = None\nif inventory is not None and supplier_inventory is not None:\n self.build(inventory, supplier_inventory)",
"print(f'Building QUBO')\nself.inventory = inventory\nself.supplier_inventory = supplier_inventory\nself... | <|body_start_0|>
super().__init__()
self.inventory = None
self.supplier_inventory = None
self.indicators = None
if inventory is not None and supplier_inventory is not None:
self.build(inventory, supplier_inventory)
<|end_body_0|>
<|body_start_1|>
print(f'Buil... | SupplierQubo | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SupplierQubo:
def __init__(self, inventory: list[int or str] or None, supplier_inventory: list[set[int or str]] or None) -> None:
"""Initializes the SupplierQubo inventory (list): List of items we want for our inventory supplier_inventory (list of sets): List for each supplier their inve... | stack_v2_sparse_classes_75kplus_train_073071 | 4,576 | permissive | [
{
"docstring": "Initializes the SupplierQubo inventory (list): List of items we want for our inventory supplier_inventory (list of sets): List for each supplier their inventory",
"name": "__init__",
"signature": "def __init__(self, inventory: list[int or str] or None, supplier_inventory: list[set[int or... | 4 | stack_v2_sparse_classes_30k_train_050324 | Implement the Python class `SupplierQubo` described below.
Class description:
Implement the SupplierQubo class.
Method signatures and docstrings:
- def __init__(self, inventory: list[int or str] or None, supplier_inventory: list[set[int or str]] or None) -> None: Initializes the SupplierQubo inventory (list): List of... | Implement the Python class `SupplierQubo` described below.
Class description:
Implement the SupplierQubo class.
Method signatures and docstrings:
- def __init__(self, inventory: list[int or str] or None, supplier_inventory: list[set[int or str]] or None) -> None: Initializes the SupplierQubo inventory (list): List of... | de3a36e292683485682f0f7b12aabcf8f548bab7 | <|skeleton|>
class SupplierQubo:
def __init__(self, inventory: list[int or str] or None, supplier_inventory: list[set[int or str]] or None) -> None:
"""Initializes the SupplierQubo inventory (list): List of items we want for our inventory supplier_inventory (list of sets): List for each supplier their inve... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SupplierQubo:
def __init__(self, inventory: list[int or str] or None, supplier_inventory: list[set[int or str]] or None) -> None:
"""Initializes the SupplierQubo inventory (list): List of items we want for our inventory supplier_inventory (list of sets): List for each supplier their inventory"""
... | the_stack_v2_python_sparse | ZebraKet/models/SupplierQubo.py | olegxtend/Hackathon2021 | train | 0 | |
e0d15e783287de2d262fe73d9af3aab0bc994dbd | [
"context = req.environ['hsm.context']\nauthorize(context)\nnow = timeutils.utcnow()\nservices = db.service_get_all(context)\nhost = ''\nif 'host' in req.GET:\n host = req.GET['host']\nservice = ''\nif 'service' in req.GET:\n service = req.GET['service']\nbinary = ''\nif 'binary' in req.GET:\n binary = req.... | <|body_start_0|>
context = req.environ['hsm.context']
authorize(context)
now = timeutils.utcnow()
services = db.service_get_all(context)
host = ''
if 'host' in req.GET:
host = req.GET['host']
service = ''
if 'service' in req.GET:
se... | ServiceController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceController:
def index(self, req):
"""Return a list of all running services. Filter by host & service name."""
<|body_0|>
def update(self, req, id, body):
"""Enable/Disable scheduling for a service"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_073072 | 3,343 | permissive | [
{
"docstring": "Return a list of all running services. Filter by host & service name.",
"name": "index",
"signature": "def index(self, req)"
},
{
"docstring": "Enable/Disable scheduling for a service",
"name": "update",
"signature": "def update(self, req, id, body)"
}
] | 2 | stack_v2_sparse_classes_30k_train_025575 | Implement the Python class `ServiceController` described below.
Class description:
Implement the ServiceController class.
Method signatures and docstrings:
- def index(self, req): Return a list of all running services. Filter by host & service name.
- def update(self, req, id, body): Enable/Disable scheduling for a s... | Implement the Python class `ServiceController` described below.
Class description:
Implement the ServiceController class.
Method signatures and docstrings:
- def index(self, req): Return a list of all running services. Filter by host & service name.
- def update(self, req, id, body): Enable/Disable scheduling for a s... | 4ce169d5be1c3e8614e5e6f198d3593eb904b97d | <|skeleton|>
class ServiceController:
def index(self, req):
"""Return a list of all running services. Filter by host & service name."""
<|body_0|>
def update(self, req, id, body):
"""Enable/Disable scheduling for a service"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ServiceController:
def index(self, req):
"""Return a list of all running services. Filter by host & service name."""
context = req.environ['hsm.context']
authorize(context)
now = timeutils.utcnow()
services = db.service_get_all(context)
host = ''
if 'hos... | the_stack_v2_python_sparse | hdcs_manager/source/hsm/hsm/api/contrib/services.py | xuechendi/HDCS | train | 1 | |
dbe60bfcd07dcd80e863819d375ee479e710ce1e | [
"self.pat = pat\nM = len(pat)\nR = 256\nself.right = [-1 for i in range(0, R)]\nfor j in range(0, M):\n self.right[ord(pat[j])] = j",
"N = len(txt)\nM = len(self.pat)\nskip = 0\ni = 0\nwhile i <= N - M:\n skip = 0\n for j in range(M - 1, -1, -1):\n if not self.pat[j] == txt[i + j]:\n sk... | <|body_start_0|>
self.pat = pat
M = len(pat)
R = 256
self.right = [-1 for i in range(0, R)]
for j in range(0, M):
self.right[ord(pat[j])] = j
<|end_body_0|>
<|body_start_1|>
N = len(txt)
M = len(self.pat)
skip = 0
i = 0
while i... | The BoyerMoore class finds the first occurence of a pattern string in a text string. This implementation uses the Boyer-Moore algorithm (with the bad-character rule, but not the strong good suffix rule). | BoyerMoore | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BoyerMoore:
"""The BoyerMoore class finds the first occurence of a pattern string in a text string. This implementation uses the Boyer-Moore algorithm (with the bad-character rule, but not the strong good suffix rule)."""
def __init__(self, pat):
"""Preprocesses the pattern string. :... | stack_v2_sparse_classes_75kplus_train_073073 | 2,087 | no_license | [
{
"docstring": "Preprocesses the pattern string. :param pat: the pattern string",
"name": "__init__",
"signature": "def __init__(self, pat)"
},
{
"docstring": "Returns the index of the first occurrrence of the pattern string in the text string. :param txt: the text string :return: the index of t... | 2 | stack_v2_sparse_classes_30k_train_017895 | Implement the Python class `BoyerMoore` described below.
Class description:
The BoyerMoore class finds the first occurence of a pattern string in a text string. This implementation uses the Boyer-Moore algorithm (with the bad-character rule, but not the strong good suffix rule).
Method signatures and docstrings:
- de... | Implement the Python class `BoyerMoore` described below.
Class description:
The BoyerMoore class finds the first occurence of a pattern string in a text string. This implementation uses the Boyer-Moore algorithm (with the bad-character rule, but not the strong good suffix rule).
Method signatures and docstrings:
- de... | 658e3a42b712fb79a4afc8c3acf24161bd5d6737 | <|skeleton|>
class BoyerMoore:
"""The BoyerMoore class finds the first occurence of a pattern string in a text string. This implementation uses the Boyer-Moore algorithm (with the bad-character rule, but not the strong good suffix rule)."""
def __init__(self, pat):
"""Preprocesses the pattern string. :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BoyerMoore:
"""The BoyerMoore class finds the first occurence of a pattern string in a text string. This implementation uses the Boyer-Moore algorithm (with the bad-character rule, but not the strong good suffix rule)."""
def __init__(self, pat):
"""Preprocesses the pattern string. :param pat: th... | the_stack_v2_python_sparse | algs4/strings/boyer_moore.py | bhavyaagg/python-test | train | 0 |
9abd8b77c1e52da610dfa603796d4cd93ce087b6 | [
"self.missing = missing\nself.start_time = None\nself.count = 0\nself.first = missing\nself.datum = None\nreturn",
"self.start_time = time.time()\nself.count = 0\nself.first = self.missing\nreturn",
"self.datum = CounterDatum(self.first, self.count)\nself.start_time = None\nself.first = self.missing\nself.count... | <|body_start_0|>
self.missing = missing
self.start_time = None
self.count = 0
self.first = missing
self.datum = None
return
<|end_body_0|>
<|body_start_1|>
self.start_time = time.time()
self.count = 0
self.first = self.missing
return
<|end... | The DataCounter counts the number of times it's called | DataCounter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataCounter:
"""The DataCounter counts the number of times it's called"""
def __init__(self, missing='na'):
""":param: - `missing`: token to use if counter never called"""
<|body_0|>
def start(self):
""":postcondition: - `start_time`: set to time() - `count`: set... | stack_v2_sparse_classes_75kplus_train_073074 | 1,412 | permissive | [
{
"docstring": ":param: - `missing`: token to use if counter never called",
"name": "__init__",
"signature": "def __init__(self, missing='na')"
},
{
"docstring": ":postcondition: - `start_time`: set to time() - `count`: set to 0 - `first`: set to missing",
"name": "start",
"signature": "... | 3 | null | Implement the Python class `DataCounter` described below.
Class description:
The DataCounter counts the number of times it's called
Method signatures and docstrings:
- def __init__(self, missing='na'): :param: - `missing`: token to use if counter never called
- def start(self): :postcondition: - `start_time`: set to ... | Implement the Python class `DataCounter` described below.
Class description:
The DataCounter counts the number of times it's called
Method signatures and docstrings:
- def __init__(self, missing='na'): :param: - `missing`: token to use if counter never called
- def start(self): :postcondition: - `start_time`: set to ... | b4d1c77e1d611fe2b30768b42bdc7493afb0ea95 | <|skeleton|>
class DataCounter:
"""The DataCounter counts the number of times it's called"""
def __init__(self, missing='na'):
""":param: - `missing`: token to use if counter never called"""
<|body_0|>
def start(self):
""":postcondition: - `start_time`: set to time() - `count`: set... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataCounter:
"""The DataCounter counts the number of times it's called"""
def __init__(self, missing='na'):
""":param: - `missing`: token to use if counter never called"""
self.missing = missing
self.start_time = None
self.count = 0
self.first = missing
sel... | the_stack_v2_python_sparse | apetools/commons/datacounter.py | russell-n/oldape | train | 0 |
99965fb78ed65b5e8eb72500fedfe4844f100ad4 | [
"app = Application.objects.as_owner(self.request.user, app_id)\nusers = AccessToken.objects.values('user').filter(application=app).distinct().count()\nreturn super(ApplicationSettings, self).get_context_data(application=app, users=users, **kwargs)",
"context = self.get_context_data(app_id)\napp = context.pop('app... | <|body_start_0|>
app = Application.objects.as_owner(self.request.user, app_id)
users = AccessToken.objects.values('user').filter(application=app).distinct().count()
return super(ApplicationSettings, self).get_context_data(application=app, users=users, **kwargs)
<|end_body_0|>
<|body_start_1|>
... | Displays the Application Settings page. `/admin/apps/settings` | ApplicationSettings | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApplicationSettings:
"""Displays the Application Settings page. `/admin/apps/settings`"""
def get_context_data(self, app_id, **kwargs):
"""Returns the context to render the view. Overwrites the method to add the application to the context. Parameters ---------- app_id : int ID identi... | stack_v2_sparse_classes_75kplus_train_073075 | 8,135 | permissive | [
{
"docstring": "Returns the context to render the view. Overwrites the method to add the application to the context. Parameters ---------- app_id : int ID identifying the the app in the database. Returns ------- dict context",
"name": "get_context_data",
"signature": "def get_context_data(self, app_id, ... | 2 | stack_v2_sparse_classes_30k_train_001256 | Implement the Python class `ApplicationSettings` described below.
Class description:
Displays the Application Settings page. `/admin/apps/settings`
Method signatures and docstrings:
- def get_context_data(self, app_id, **kwargs): Returns the context to render the view. Overwrites the method to add the application to ... | Implement the Python class `ApplicationSettings` described below.
Class description:
Displays the Application Settings page. `/admin/apps/settings`
Method signatures and docstrings:
- def get_context_data(self, app_id, **kwargs): Returns the context to render the view. Overwrites the method to add the application to ... | 16d31b5207de9f699fc01054baad1fe65ad1c3ca | <|skeleton|>
class ApplicationSettings:
"""Displays the Application Settings page. `/admin/apps/settings`"""
def get_context_data(self, app_id, **kwargs):
"""Returns the context to render the view. Overwrites the method to add the application to the context. Parameters ---------- app_id : int ID identi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ApplicationSettings:
"""Displays the Application Settings page. `/admin/apps/settings`"""
def get_context_data(self, app_id, **kwargs):
"""Returns the context to render the view. Overwrites the method to add the application to the context. Parameters ---------- app_id : int ID identifying the the... | the_stack_v2_python_sparse | geokey/applications/views.py | NeolithEra/geokey | train | 0 |
dceb2f2cb00d255e437826b574cbb22b31bf7de1 | [
"partinfo = dict(classes=[], features=[], samples=[])\nfor partname in datadict:\n partition = Partition(datadict[partname], f'{dataset}-{partname}')\n for attr in partinfo:\n partinfo[attr].append(getattr(partition, attr))\n setattr(self, partname.lower(), partition)\nself.classes = tuple(partinfo[... | <|body_start_0|>
partinfo = dict(classes=[], features=[], samples=[])
for partname in datadict:
partition = Partition(datadict[partname], f'{dataset}-{partname}')
for attr in partinfo:
partinfo[attr].append(getattr(partition, attr))
setattr(self, partn... | The Dataset class defines the main interfaces for datasets created with this repo. It instantiates Partition objects for each partition of the the dataset and defines methods for viewing metadata and partition information. :func:`__init__`: instantiates Dataset objects :func:`__repr__`: shows dataset metadata and infor... | Dataset | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""The Dataset class defines the main interfaces for datasets created with this repo. It instantiates Partition objects for each partition of the the dataset and defines methods for viewing metadata and partition information. :func:`__init__`: instantiates Dataset objects :func:`__repr__... | stack_v2_sparse_classes_75kplus_train_073076 | 13,734 | permissive | [
{
"docstring": "This method instantiates a Dataset object with attributes to access the underlying data and labels (as Partition objects), as well as collects and saves partition information and metadata. :param datadict: the partitions to save :type datadict: dict of numpy ndarray objects :param dataset: name ... | 2 | stack_v2_sparse_classes_30k_train_047059 | Implement the Python class `Dataset` described below.
Class description:
The Dataset class defines the main interfaces for datasets created with this repo. It instantiates Partition objects for each partition of the the dataset and defines methods for viewing metadata and partition information. :func:`__init__`: insta... | Implement the Python class `Dataset` described below.
Class description:
The Dataset class defines the main interfaces for datasets created with this repo. It instantiates Partition objects for each partition of the the dataset and defines methods for viewing metadata and partition information. :func:`__init__`: insta... | 5a508b78cccc581b3b99ec2ba179ecb7fa31aafb | <|skeleton|>
class Dataset:
"""The Dataset class defines the main interfaces for datasets created with this repo. It instantiates Partition objects for each partition of the the dataset and defines methods for viewing metadata and partition information. :func:`__init__`: instantiates Dataset objects :func:`__repr__... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dataset:
"""The Dataset class defines the main interfaces for datasets created with this repo. It instantiates Partition objects for each partition of the the dataset and defines methods for viewing metadata and partition information. :func:`__init__`: instantiates Dataset objects :func:`__repr__`: shows data... | the_stack_v2_python_sparse | mlds/datasets.py | sheatsley/datasets | train | 13 |
249c30eb974be3418f6ce8a5587cceb4cd4b1ff4 | [
"config = config_manager._config\napp = Flask(__name__)\napp.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://{user}:{pw}@{host}:{port}/{db}'.format(user=config.get('DB_CLIENT', 'user'), pw=os.environ['DB_PASS'], host=config.get('DB_CLIENT', 'host'), port=config.getint('DB_CLIENT', 'port'), db=config.get('DB_CLIEN... | <|body_start_0|>
config = config_manager._config
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://{user}:{pw}@{host}:{port}/{db}'.format(user=config.get('DB_CLIENT', 'user'), pw=os.environ['DB_PASS'], host=config.get('DB_CLIENT', 'host'), port=config.getint('DB_CLIENT'... | DBClient - Label datasets and retrieve datasets with corresponding category - Needed here so that DL2 Notebook can retrieve classifications - Unsure whether DL2 Notebook will use this DBClient (through Virtual Worker instance of UNIX Service) or have its own instance, TBD - Will most likely replace RDS DB with DynamoDB... | DBClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DBClient:
"""DBClient - Label datasets and retrieve datasets with corresponding category - Needed here so that DL2 Notebook can retrieve classifications - Unsure whether DL2 Notebook will use this DBClient (through Virtual Worker instance of UNIX Service) or have its own instance, TBD - Will most... | stack_v2_sparse_classes_75kplus_train_073077 | 3,677 | permissive | [
{
"docstring": "Set up DBClient with corresponding database credentials",
"name": "__init__",
"signature": "def __init__(self, config_manager)"
},
{
"docstring": "Get category_labels table NOTE: Functionality needs to be tested so that add_classifications can be tested, but this method should no... | 4 | null | Implement the Python class `DBClient` described below.
Class description:
DBClient - Label datasets and retrieve datasets with corresponding category - Needed here so that DL2 Notebook can retrieve classifications - Unsure whether DL2 Notebook will use this DBClient (through Virtual Worker instance of UNIX Service) or... | Implement the Python class `DBClient` described below.
Class description:
DBClient - Label datasets and retrieve datasets with corresponding category - Needed here so that DL2 Notebook can retrieve classifications - Unsure whether DL2 Notebook will use this DBClient (through Virtual Worker instance of UNIX Service) or... | 117f998657a0a22c5c865814551082a40da00596 | <|skeleton|>
class DBClient:
"""DBClient - Label datasets and retrieve datasets with corresponding category - Needed here so that DL2 Notebook can retrieve classifications - Unsure whether DL2 Notebook will use this DBClient (through Virtual Worker instance of UNIX Service) or have its own instance, TBD - Will most... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DBClient:
"""DBClient - Label datasets and retrieve datasets with corresponding category - Needed here so that DL2 Notebook can retrieve classifications - Unsure whether DL2 Notebook will use this DBClient (through Virtual Worker instance of UNIX Service) or have its own instance, TBD - Will most likely repla... | the_stack_v2_python_sparse | core/db_client.py | ahmad-abdellatif/decentralized-ml | train | 0 |
697a849fed2a007ba95dbfe3382e7b8cc1ca53d8 | [
"result = CooperativeManage(aompLogin).getCooperativeCode(send_data['cooperativeName'])\nself.save_data('activationCode', result)\nAssertions().assert_in_text(result, expect['getActivationCodeMsg'])",
"re = RegisterParking(userLogin).registerUser(send_data['activationCode'], send_data['managerName'], send_data['u... | <|body_start_0|>
result = CooperativeManage(aompLogin).getCooperativeCode(send_data['cooperativeName'])
self.save_data('activationCode', result)
Assertions().assert_in_text(result, expect['getActivationCodeMsg'])
<|end_body_0|>
<|body_start_1|>
re = RegisterParking(userLogin).registerUs... | 新增车场 | TestRegisterParkingFail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRegisterParkingFail:
"""新增车场"""
def test_getActivationCode(self, aompLogin, send_data, expect):
"""在aomp获取激活码"""
<|body_0|>
def test_registerUser(self, userLogin, send_data, expect):
"""注册用户"""
<|body_1|>
def test_addOperatorPark(self, userLogin,... | stack_v2_sparse_classes_75kplus_train_073078 | 1,972 | no_license | [
{
"docstring": "在aomp获取激活码",
"name": "test_getActivationCode",
"signature": "def test_getActivationCode(self, aompLogin, send_data, expect)"
},
{
"docstring": "注册用户",
"name": "test_registerUser",
"signature": "def test_registerUser(self, userLogin, send_data, expect)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_test_001307 | Implement the Python class `TestRegisterParkingFail` described below.
Class description:
新增车场
Method signatures and docstrings:
- def test_getActivationCode(self, aompLogin, send_data, expect): 在aomp获取激活码
- def test_registerUser(self, userLogin, send_data, expect): 注册用户
- def test_addOperatorPark(self, userLogin, sen... | Implement the Python class `TestRegisterParkingFail` described below.
Class description:
新增车场
Method signatures and docstrings:
- def test_getActivationCode(self, aompLogin, send_data, expect): 在aomp获取激活码
- def test_registerUser(self, userLogin, send_data, expect): 注册用户
- def test_addOperatorPark(self, userLogin, sen... | 34c368c109867da26d9256bca85f872b0fac2ea7 | <|skeleton|>
class TestRegisterParkingFail:
"""新增车场"""
def test_getActivationCode(self, aompLogin, send_data, expect):
"""在aomp获取激活码"""
<|body_0|>
def test_registerUser(self, userLogin, send_data, expect):
"""注册用户"""
<|body_1|>
def test_addOperatorPark(self, userLogin,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestRegisterParkingFail:
"""新增车场"""
def test_getActivationCode(self, aompLogin, send_data, expect):
"""在aomp获取激活码"""
result = CooperativeManage(aompLogin).getCooperativeCode(send_data['cooperativeName'])
self.save_data('activationCode', result)
Assertions().assert_in_text(... | the_stack_v2_python_sparse | test_suite/parkingConfig/test_registerParkingFail.py | oyebino/pomp_api | train | 1 |
9d487c31226a517a782b5d5fd6ada974984e5d90 | [
"self._pokemon = pokemon\nwith open(join('jsons', 'pokemon_lookup_s.json'), 'r') as pokemon_lookup_json:\n pokemon_lookup = json.load(pokemon_lookup_json)\n _lookup = pokemon_lookup[self._pokemon.name]\n_offset = (0, _lookup)\nsuper().__init__(join('pokemon', 'pokemon_small.png'), position, offset=_offset)\ns... | <|body_start_0|>
self._pokemon = pokemon
with open(join('jsons', 'pokemon_lookup_s.json'), 'r') as pokemon_lookup_json:
pokemon_lookup = json.load(pokemon_lookup_json)
_lookup = pokemon_lookup[self._pokemon.name]
_offset = (0, _lookup)
super().__init__(join('pokem... | BouncingPokemon | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BouncingPokemon:
def __init__(self, pokemon, position, item=True):
"""Creates a simple bouncing pokemon object. This appear on the left of the pokemon cards/objects"""
<|body_0|>
def draw(self, draw_surface):
"""Overwrite parent draw method to possibly draw the item ... | stack_v2_sparse_classes_75kplus_train_073079 | 23,080 | no_license | [
{
"docstring": "Creates a simple bouncing pokemon object. This appear on the left of the pokemon cards/objects",
"name": "__init__",
"signature": "def __init__(self, pokemon, position, item=True)"
},
{
"docstring": "Overwrite parent draw method to possibly draw the item surface.",
"name": "d... | 3 | stack_v2_sparse_classes_30k_train_041232 | Implement the Python class `BouncingPokemon` described below.
Class description:
Implement the BouncingPokemon class.
Method signatures and docstrings:
- def __init__(self, pokemon, position, item=True): Creates a simple bouncing pokemon object. This appear on the left of the pokemon cards/objects
- def draw(self, dr... | Implement the Python class `BouncingPokemon` described below.
Class description:
Implement the BouncingPokemon class.
Method signatures and docstrings:
- def __init__(self, pokemon, position, item=True): Creates a simple bouncing pokemon object. This appear on the left of the pokemon cards/objects
- def draw(self, dr... | 6718fdb6555d87f0b7b331c10d64a604431f8e81 | <|skeleton|>
class BouncingPokemon:
def __init__(self, pokemon, position, item=True):
"""Creates a simple bouncing pokemon object. This appear on the left of the pokemon cards/objects"""
<|body_0|>
def draw(self, draw_surface):
"""Overwrite parent draw method to possibly draw the item ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BouncingPokemon:
def __init__(self, pokemon, position, item=True):
"""Creates a simple bouncing pokemon object. This appear on the left of the pokemon cards/objects"""
self._pokemon = pokemon
with open(join('jsons', 'pokemon_lookup_s.json'), 'r') as pokemon_lookup_json:
pok... | the_stack_v2_python_sparse | pokered/modules/battle/battle_menus/poke_party.py | surranc20/pokered | train | 44 | |
973415825e49ea6743413cdfa55faa94ca472001 | [
"BaseController.__init__(self, veh_id, car_following_params, delay=1.0)\nself.max_accel = car_following_params.controller_params['accel']\nself.v_history = []\nself.gamma = 2\nself.g_l = 7\nself.g_u = 30\nself.v_catch = 1\nself.alpha = 0\nself.beta = 1 - 0.5 * self.alpha\nself.U = 0\nself.v_target = 0\nself.v_cmd =... | <|body_start_0|>
BaseController.__init__(self, veh_id, car_following_params, delay=1.0)
self.max_accel = car_following_params.controller_params['accel']
self.v_history = []
self.gamma = 2
self.g_l = 7
self.g_u = 30
self.v_catch = 1
self.alpha = 0
s... | Inspired by Dan Work's... work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments https://arxiv.org/abs/1705.01693 Usage ----- See base class for example. Parameters ---------- veh_id : str unique vehicle identifier car_following_params : flow.core.params.SumoCarFollowingParams obje... | PISaturation | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PISaturation:
"""Inspired by Dan Work's... work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments https://arxiv.org/abs/1705.01693 Usage ----- See base class for example. Parameters ---------- veh_id : str unique vehicle identifier car_following_params : flow... | stack_v2_sparse_classes_75kplus_train_073080 | 7,700 | permissive | [
{
"docstring": "Instantiate PISaturation.",
"name": "__init__",
"signature": "def __init__(self, veh_id, car_following_params)"
},
{
"docstring": "See parent class.",
"name": "get_accel",
"signature": "def get_accel(self, env)"
}
] | 2 | stack_v2_sparse_classes_30k_train_024523 | Implement the Python class `PISaturation` described below.
Class description:
Inspired by Dan Work's... work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments https://arxiv.org/abs/1705.01693 Usage ----- See base class for example. Parameters ---------- veh_id : str unique vehicle... | Implement the Python class `PISaturation` described below.
Class description:
Inspired by Dan Work's... work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments https://arxiv.org/abs/1705.01693 Usage ----- See base class for example. Parameters ---------- veh_id : str unique vehicle... | badac3da17f04d8d8ae5691ee8ba2af9d56fac35 | <|skeleton|>
class PISaturation:
"""Inspired by Dan Work's... work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments https://arxiv.org/abs/1705.01693 Usage ----- See base class for example. Parameters ---------- veh_id : str unique vehicle identifier car_following_params : flow... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PISaturation:
"""Inspired by Dan Work's... work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments https://arxiv.org/abs/1705.01693 Usage ----- See base class for example. Parameters ---------- veh_id : str unique vehicle identifier car_following_params : flow.core.params.... | the_stack_v2_python_sparse | flow/controllers/velocity_controllers.py | parthjaggi/flow | train | 6 |
1a2dfdf83890287c248e74fb05550cabdf242794 | [
"if len(a) == 0:\n return 0\nminVal = a[0]\nsummary = 0\ncurMax = 0\nfor i in range(1, len(a)):\n if a[i] > minVal and a[i] > a[i - 1]:\n curMax = max(curMax, a[i] - minVal)\n else:\n summary += curMax\n curMax = 0\n minVal = a[i]\nsummary += curMax\nreturn summary",
"t1 = 0\n... | <|body_start_0|>
if len(a) == 0:
return 0
minVal = a[0]
summary = 0
curMax = 0
for i in range(1, len(a)):
if a[i] > minVal and a[i] > a[i - 1]:
curMax = max(curMax, a[i] - minVal)
else:
summary += curMax
... | https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/ | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/"""
def maxProfit(self, a):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit2(self, a):
""":type prices: List[int] :rtype: int"""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus_train_073081 | 1,152 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, a)"
},
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit2",
"signature": "def maxProfit2(self, a)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018388 | Implement the Python class `Solution` described below.
Class description:
https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/
Method signatures and docstrings:
- def maxProfit(self, a): :type prices: List[int] :rtype: int
- def maxProfit2(self, a): :type prices: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/
Method signatures and docstrings:
- def maxProfit(self, a): :type prices: List[int] :rtype: int
- def maxProfit2(self, a): :type prices: List[int] :rtype: int
<|skel... | 54d3d9530b25272d4a2e5dc33e7035c44f506dc5 | <|skeleton|>
class Solution:
"""https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/"""
def maxProfit(self, a):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit2(self, a):
""":type prices: List[int] :rtype: int"""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/"""
def maxProfit(self, a):
""":type prices: List[int] :rtype: int"""
if len(a) == 0:
return 0
minVal = a[0]
summary = 0
curMax = 0
for i in range(1, len(a... | the_stack_v2_python_sparse | old/Session002/DynamicProgramming/BestTimeBuyandSellStockII.py | MaxIakovliev/algorithms | train | 0 |
43000963394072a9f5c59b23cba2994e254489f1 | [
"if len(s1) != len(s2):\n return False\nif s1 == s2:\n return True\nn = len(s1)\ndp = [[[False] * (n + 1) for _ in range(n)] for _ in range(n)]\nfor i in range(n):\n for j in range(n):\n dp[i][j][1] = s1[i] == s2[j]\nfor l in range(2, n + 1):\n for i in range(n - l + 1):\n for j in range(n... | <|body_start_0|>
if len(s1) != len(s2):
return False
if s1 == s2:
return True
n = len(s1)
dp = [[[False] * (n + 1) for _ in range(n)] for _ in range(n)]
for i in range(n):
for j in range(n):
dp[i][j][1] = s1[i] == s2[j]
... | DP. | Solution | [
"WTFPL"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""DP."""
def isScramble1(self, s1: str, s2: str) -> bool:
"""DP. :param s1: :param s2: :return:"""
<|body_0|>
def isScramble2(self, s1: str, s2: str) -> bool:
"""Recursively dp."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s... | stack_v2_sparse_classes_75kplus_train_073082 | 1,509 | permissive | [
{
"docstring": "DP. :param s1: :param s2: :return:",
"name": "isScramble1",
"signature": "def isScramble1(self, s1: str, s2: str) -> bool"
},
{
"docstring": "Recursively dp.",
"name": "isScramble2",
"signature": "def isScramble2(self, s1: str, s2: str) -> bool"
}
] | 2 | stack_v2_sparse_classes_30k_train_037858 | Implement the Python class `Solution` described below.
Class description:
DP.
Method signatures and docstrings:
- def isScramble1(self, s1: str, s2: str) -> bool: DP. :param s1: :param s2: :return:
- def isScramble2(self, s1: str, s2: str) -> bool: Recursively dp. | Implement the Python class `Solution` described below.
Class description:
DP.
Method signatures and docstrings:
- def isScramble1(self, s1: str, s2: str) -> bool: DP. :param s1: :param s2: :return:
- def isScramble2(self, s1: str, s2: str) -> bool: Recursively dp.
<|skeleton|>
class Solution:
"""DP."""
def ... | 5e5e7098d2310c972314c9c9895aafd048047fe6 | <|skeleton|>
class Solution:
"""DP."""
def isScramble1(self, s1: str, s2: str) -> bool:
"""DP. :param s1: :param s2: :return:"""
<|body_0|>
def isScramble2(self, s1: str, s2: str) -> bool:
"""Recursively dp."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""DP."""
def isScramble1(self, s1: str, s2: str) -> bool:
"""DP. :param s1: :param s2: :return:"""
if len(s1) != len(s2):
return False
if s1 == s2:
return True
n = len(s1)
dp = [[[False] * (n + 1) for _ in range(n)] for _ in range... | the_stack_v2_python_sparse | 0087_Scramble_String.py | imguozr/LC-Solutions | train | 0 |
91a9edaf52f5507e8e8e2eef066fe0061924f3c8 | [
"user = request.user\nif date is None:\n entries = WellnessEntry.objects.filter(user=user).order_by('-date')[:50]\n if len(entries) == 0:\n print('no entries')\n return HttpResponse(status=400)\n try:\n serializer = WellnessEntrySerializer(entries, many=True)\n return JsonRespon... | <|body_start_0|>
user = request.user
if date is None:
entries = WellnessEntry.objects.filter(user=user).order_by('-date')[:50]
if len(entries) == 0:
print('no entries')
return HttpResponse(status=400)
try:
serializer = W... | Wellness | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Wellness:
def get(self, request, date=None, format=None):
"""Will handle single day requests and all entries etc. Return for graph and scroll view etc"""
<|body_0|>
def post(self, request):
"""Check if user is authenticated with token - done automatically Check if en... | stack_v2_sparse_classes_75kplus_train_073083 | 3,840 | no_license | [
{
"docstring": "Will handle single day requests and all entries etc. Return for graph and scroll view etc",
"name": "get",
"signature": "def get(self, request, date=None, format=None)"
},
{
"docstring": "Check if user is authenticated with token - done automatically Check if entry for date alrea... | 3 | null | Implement the Python class `Wellness` described below.
Class description:
Implement the Wellness class.
Method signatures and docstrings:
- def get(self, request, date=None, format=None): Will handle single day requests and all entries etc. Return for graph and scroll view etc
- def post(self, request): Check if user... | Implement the Python class `Wellness` described below.
Class description:
Implement the Wellness class.
Method signatures and docstrings:
- def get(self, request, date=None, format=None): Will handle single day requests and all entries etc. Return for graph and scroll view etc
- def post(self, request): Check if user... | 7522e44c88077e6e436ed3462860ec491802a635 | <|skeleton|>
class Wellness:
def get(self, request, date=None, format=None):
"""Will handle single day requests and all entries etc. Return for graph and scroll view etc"""
<|body_0|>
def post(self, request):
"""Check if user is authenticated with token - done automatically Check if en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Wellness:
def get(self, request, date=None, format=None):
"""Will handle single day requests and all entries etc. Return for graph and scroll view etc"""
user = request.user
if date is None:
entries = WellnessEntry.objects.filter(user=user).order_by('-date')[:50]
... | the_stack_v2_python_sparse | wellness_api/views.py | SteGaff7/WellnessAppDjangoBackend | train | 0 | |
bf86fe2976ea705763fd2af9a8229d46a69eafb0 | [
"locals()['random'] = random\nlocals()['utils'] = SimUtils\nif data.entity1 is not None:\n entity1_name = data.entity1.__name__.lower()\n locals()['entity1'] = data.entity1\n locals()[entity1_name] = data.entity1\n locals()[entity1_name + '1'] = data.entity1\nif data.entity2 is not None:\n entity2_na... | <|body_start_0|>
locals()['random'] = random
locals()['utils'] = SimUtils
if data.entity1 is not None:
entity1_name = data.entity1.__name__.lower()
locals()['entity1'] = data.entity1
locals()[entity1_name] = data.entity1
locals()[entity1_name + '1'... | Fonction composant un Trigger anonyme, créer à la volée pour lancer ses fonctions. Cette classe n'offre aucun environnement d'instance, afin de limiter l'utilisation de la mémoire, qui peut s'avérer critique dans le cadre des simulations. | Function | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Function:
"""Fonction composant un Trigger anonyme, créer à la volée pour lancer ses fonctions. Cette classe n'offre aucun environnement d'instance, afin de limiter l'utilisation de la mémoire, qui peut s'avérer critique dans le cadre des simulations."""
def eval(data, python_code):
... | stack_v2_sparse_classes_75kplus_train_073084 | 3,419 | no_license | [
{
"docstring": "Evalue le code donné en paramètre, avec comme scope les différents alias de entity1 et entity2",
"name": "eval",
"signature": "def eval(data, python_code)"
},
{
"docstring": "Execute le code python donné en paramètre avec un scope permettant les alias dans les scripts utilisateur... | 3 | stack_v2_sparse_classes_30k_train_021871 | Implement the Python class `Function` described below.
Class description:
Fonction composant un Trigger anonyme, créer à la volée pour lancer ses fonctions. Cette classe n'offre aucun environnement d'instance, afin de limiter l'utilisation de la mémoire, qui peut s'avérer critique dans le cadre des simulations.
Metho... | Implement the Python class `Function` described below.
Class description:
Fonction composant un Trigger anonyme, créer à la volée pour lancer ses fonctions. Cette classe n'offre aucun environnement d'instance, afin de limiter l'utilisation de la mémoire, qui peut s'avérer critique dans le cadre des simulations.
Metho... | d1c7395500b2b5c304cc8a587e00b37e85b200e2 | <|skeleton|>
class Function:
"""Fonction composant un Trigger anonyme, créer à la volée pour lancer ses fonctions. Cette classe n'offre aucun environnement d'instance, afin de limiter l'utilisation de la mémoire, qui peut s'avérer critique dans le cadre des simulations."""
def eval(data, python_code):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Function:
"""Fonction composant un Trigger anonyme, créer à la volée pour lancer ses fonctions. Cette classe n'offre aucun environnement d'instance, afin de limiter l'utilisation de la mémoire, qui peut s'avérer critique dans le cadre des simulations."""
def eval(data, python_code):
"""Evalue le ... | the_stack_v2_python_sparse | propsim/simutils/function.py | Thomsch/propagation-simulator | train | 1 |
18471566c96f4d1418d5f8a6ad0d165442cdcfa8 | [
"Container.__init__(self, child=None)\nUserList.__init__(self)\nif isinstance(rotation, int) is True:\n self.rotation = [0] * arg\nelif isinstance(arg, list):\n self.rotation = rotation\nelse:\n self.rotation = None\nif isinstance(scale, float) is True:\n self.scale = [1.0] * arg\nelif isinstance(scale,... | <|body_start_0|>
Container.__init__(self, child=None)
UserList.__init__(self)
if isinstance(rotation, int) is True:
self.rotation = [0] * arg
elif isinstance(arg, list):
self.rotation = rotation
else:
self.rotation = None
if isinstance(... | Used to add one or more external pdf files to document. Args: ------ | PDFs | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PDFs:
"""Used to add one or more external pdf files to document. Args: ------"""
def __init__(self, arg, rotation=None, scale=None):
"""Args ---- arg: int or list Int specifying the number of pdf files to add or a list of pdf filenames. rotation: int or list degrees table_of_contents... | stack_v2_sparse_classes_75kplus_train_073085 | 2,943 | no_license | [
{
"docstring": "Args ---- arg: int or list Int specifying the number of pdf files to add or a list of pdf filenames. rotation: int or list degrees table_of_contents: bool Int specifying the number of pdf files to add or a list ints specifying the degrees of rotation.",
"name": "__init__",
"signature": "... | 2 | null | Implement the Python class `PDFs` described below.
Class description:
Used to add one or more external pdf files to document. Args: ------
Method signatures and docstrings:
- def __init__(self, arg, rotation=None, scale=None): Args ---- arg: int or list Int specifying the number of pdf files to add or a list of pdf f... | Implement the Python class `PDFs` described below.
Class description:
Used to add one or more external pdf files to document. Args: ------
Method signatures and docstrings:
- def __init__(self, arg, rotation=None, scale=None): Args ---- arg: int or list Int specifying the number of pdf files to add or a list of pdf f... | 515ce39b6ce8fefde098cce16495e60fcef1c4d4 | <|skeleton|>
class PDFs:
"""Used to add one or more external pdf files to document. Args: ------"""
def __init__(self, arg, rotation=None, scale=None):
"""Args ---- arg: int or list Int specifying the number of pdf files to add or a list of pdf filenames. rotation: int or list degrees table_of_contents... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PDFs:
"""Used to add one or more external pdf files to document. Args: ------"""
def __init__(self, arg, rotation=None, scale=None):
"""Args ---- arg: int or list Int specifying the number of pdf files to add or a list of pdf filenames. rotation: int or list degrees table_of_contents: bool Int sp... | the_stack_v2_python_sparse | easytex/classes/PDFs.py | JyuNyar/easytex | train | 0 |
1e1b37bdf82506f151aaa1701c1dea96b8c3b315 | [
"kwargs = self.dict()\nkwargs['data'] = fsr.load_result_df(self.path)\nreturn IntExperimentResult(**kwargs)",
"sess = check_sess(sess)\nsql_result = crud.create_experiment_result(self)\nself.uid = sql_result.id\nself.path = Path(sql_result.path)",
"kwargs = self.dict()\nkwargs['experimentGroups'] = self.experim... | <|body_start_0|>
kwargs = self.dict()
kwargs['data'] = fsr.load_result_df(self.path)
return IntExperimentResult(**kwargs)
<|end_body_0|>
<|body_start_1|>
sess = check_sess(sess)
sql_result = crud.create_experiment_result(self)
self.uid = sql_result.id
self.path =... | A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment_group_id : int unique identifier of the assoc... | DbExperimentResult | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DbExperimentResult:
"""A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment... | stack_v2_sparse_classes_75kplus_train_073086 | 4,588 | permissive | [
{
"docstring": "Returns c_int.IntExperimentResult",
"name": "to_int_class",
"signature": "def to_int_class(self)"
},
{
"docstring": "Creates object in db. Path and id are generated and updated in object. Parameters: - sess(sqlalchemy.orm.Session): The database session to be used, if no session i... | 3 | stack_v2_sparse_classes_30k_train_022706 | Implement the Python class `DbExperimentResult` described below.
Class description:
A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed descript... | Implement the Python class `DbExperimentResult` described below.
Class description:
A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed descript... | 4bd9f45ad9e49f4178c0b8bb1a177d7db5349c34 | <|skeleton|>
class DbExperimentResult:
"""A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DbExperimentResult:
"""A class to handle database and file storage of ExperimentResults Attributes ---------- uid : int the objects unique identifier name : str the objects name hint : str brief description of the object description : str a detailed description of the experiment result experiment_group_id : i... | the_stack_v2_python_sparse | mistos-backend/src/app/api/classes/experiment_result.py | Maddonix/mistos_2 | train | 1 |
851aeda567fcce5c28723f60584ef78ff3a05099 | [
"if self.additional_images is True or additional_images:\n if kwargs_lens_eqn_solver is None:\n kwargs_lens_eqn_solver = {}\n ra_source, dec_source = self.source_position(kwargs_ps, kwargs_lens)\n ra_image, dec_image = self._solver.image_position_from_source(ra_source, dec_source, kwargs_lens, magni... | <|body_start_0|>
if self.additional_images is True or additional_images:
if kwargs_lens_eqn_solver is None:
kwargs_lens_eqn_solver = {}
ra_source, dec_source = self.source_position(kwargs_ps, kwargs_lens)
ra_image, dec_image = self._solver.image_position_from_... | class of a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: 'LENSED_POSITION' parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than 'source_amp' is a parameter instead of 'point_amp' | LensedPositions | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LensedPositions:
"""class of a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: 'LENSED_POSITION' parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than 'source_amp' is a parameter instead of 'point_amp'"""
... | stack_v2_sparse_classes_75kplus_train_073087 | 7,188 | permissive | [
{
"docstring": "On-sky image positions. :param kwargs_ps: keyword arguments of the point source model :param kwargs_lens: keyword argument list of the lens model(s), only used when requiring the lens equation solver :param magnification_limit: float >0 or None, if float is set and additional images are computed... | 4 | null | Implement the Python class `LensedPositions` described below.
Class description:
class of a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: 'LENSED_POSITION' parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than 'source_amp' is a p... | Implement the Python class `LensedPositions` described below.
Class description:
class of a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: 'LENSED_POSITION' parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than 'source_amp' is a p... | 1b685c4392c00209a19e14d7d0bdfc89cc1a69cd | <|skeleton|>
class LensedPositions:
"""class of a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: 'LENSED_POSITION' parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than 'source_amp' is a parameter instead of 'point_amp'"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LensedPositions:
"""class of a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: 'LENSED_POSITION' parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than 'source_amp' is a parameter instead of 'point_amp'"""
def image_po... | the_stack_v2_python_sparse | lenstronomy/PointSource/Types/lensed_position.py | ajshajib/lenstronomy | train | 0 |
89db4a888b49d6b0afd816607988d1c9be5f9c03 | [
"data = None\nmatch = self.crash_regex.match(output)\nif match:\n msg = 'Stylelint crashed: %s' % match.group(1)\n yield (match, 0, None, 'Error', '', msg, None)\ntry:\n if output and (not match):\n data = json.loads(output)[0]\nexcept:\n yield (match, 0, None, 'Error', '', 'Output json data erro... | <|body_start_0|>
data = None
match = self.crash_regex.match(output)
if match:
msg = 'Stylelint crashed: %s' % match.group(1)
yield (match, 0, None, 'Error', '', msg, None)
try:
if output and (not match):
data = json.loads(output)[0]
... | Provides an interface to stylelint. | Stylelint | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Stylelint:
"""Provides an interface to stylelint."""
def find_errors(self, output):
"""Parse errors from linter's output. We override this method to handle parsing stylelint crashes."""
<|body_0|>
def communicate(self, cmd, code=None):
"""Run an external executab... | stack_v2_sparse_classes_75kplus_train_073088 | 3,414 | permissive | [
{
"docstring": "Parse errors from linter's output. We override this method to handle parsing stylelint crashes.",
"name": "find_errors",
"signature": "def find_errors(self, output)"
},
{
"docstring": "Run an external executable using stdin to pass code and return its output.",
"name": "commu... | 2 | null | Implement the Python class `Stylelint` described below.
Class description:
Provides an interface to stylelint.
Method signatures and docstrings:
- def find_errors(self, output): Parse errors from linter's output. We override this method to handle parsing stylelint crashes.
- def communicate(self, cmd, code=None): Run... | Implement the Python class `Stylelint` described below.
Class description:
Provides an interface to stylelint.
Method signatures and docstrings:
- def find_errors(self, output): Parse errors from linter's output. We override this method to handle parsing stylelint crashes.
- def communicate(self, cmd, code=None): Run... | 0ed3d3fd17d4ac0ed52f73e8c3f750302f45da50 | <|skeleton|>
class Stylelint:
"""Provides an interface to stylelint."""
def find_errors(self, output):
"""Parse errors from linter's output. We override this method to handle parsing stylelint crashes."""
<|body_0|>
def communicate(self, cmd, code=None):
"""Run an external executab... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Stylelint:
"""Provides an interface to stylelint."""
def find_errors(self, output):
"""Parse errors from linter's output. We override this method to handle parsing stylelint crashes."""
data = None
match = self.crash_regex.match(output)
if match:
msg = 'Styleli... | the_stack_v2_python_sparse | Packages/SublimeLinter-contrib-stylelint/linter.py | fisker/fisker-sublimetext-backup | train | 1 |
d6d5b5bf1a91c649254086f69d0fedf40a5f1b66 | [
"super().__init__()\nself.result_button = QPushButton()\nself.result_button.setEnabled(False)\nself.result_button.setText('Open results folder')\nself.result_path = cicada_analysis.get_results_path()\nself.addWidget(self.result_button)\nself.result_button.clicked.connect(self.open_explorer)",
"if self.result_path... | <|body_start_0|>
super().__init__()
self.result_button = QPushButton()
self.result_button.setEnabled(False)
self.result_button.setText('Open results folder')
self.result_path = cicada_analysis.get_results_path()
self.addWidget(self.result_button)
self.result_butto... | Class containing the button to open the result folder | ResultsButton | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResultsButton:
"""Class containing the button to open the result folder"""
def __init__(self, cicada_analysis):
"""Args: cicada_analysis (CicadaAnalysis): Chosen analysis"""
<|body_0|>
def open_explorer(self):
"""Open the file explorer depending on the OS"""
... | stack_v2_sparse_classes_75kplus_train_073089 | 9,365 | no_license | [
{
"docstring": "Args: cicada_analysis (CicadaAnalysis): Chosen analysis",
"name": "__init__",
"signature": "def __init__(self, cicada_analysis)"
},
{
"docstring": "Open the file explorer depending on the OS",
"name": "open_explorer",
"signature": "def open_explorer(self)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_024347 | Implement the Python class `ResultsButton` described below.
Class description:
Class containing the button to open the result folder
Method signatures and docstrings:
- def __init__(self, cicada_analysis): Args: cicada_analysis (CicadaAnalysis): Chosen analysis
- def open_explorer(self): Open the file explorer depend... | Implement the Python class `ResultsButton` described below.
Class description:
Class containing the button to open the result folder
Method signatures and docstrings:
- def __init__(self, cicada_analysis): Args: cicada_analysis (CicadaAnalysis): Chosen analysis
- def open_explorer(self): Open the file explorer depend... | 75449d4f0f7ea92e4daf329b5d40820832b62de2 | <|skeleton|>
class ResultsButton:
"""Class containing the button to open the result folder"""
def __init__(self, cicada_analysis):
"""Args: cicada_analysis (CicadaAnalysis): Chosen analysis"""
<|body_0|>
def open_explorer(self):
"""Open the file explorer depending on the OS"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResultsButton:
"""Class containing the button to open the result folder"""
def __init__(self, cicada_analysis):
"""Args: cicada_analysis (CicadaAnalysis): Chosen analysis"""
super().__init__()
self.result_button = QPushButton()
self.result_button.setEnabled(False)
... | the_stack_v2_python_sparse | src/cicada/gui/cicada_analysis_overview.py | PaulUteza/cicada | train | 0 |
c794c73a8f9efaa18a23edd5ecffd38ec007ce2d | [
"for key in inmap:\n objtype, spc, lng = key.partition(' ')\n if spc != ' ' or objtype != 'language':\n raise KeyError('Unrecognized object type: %s' % key)\n inobj = inmap[key]\n self[lng] = Language.from_map(lng, inobj)",
"for sch, fnc, arg in dbfunctions:\n func = dbfunctions[sch, fnc, ar... | <|body_start_0|>
for key in inmap:
objtype, spc, lng = key.partition(' ')
if spc != ' ' or objtype != 'language':
raise KeyError('Unrecognized object type: %s' % key)
inobj = inmap[key]
self[lng] = Language.from_map(lng, inobj)
<|end_body_0|>
<|bo... | The collection of procedural languages in a database. | LanguageDict | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LanguageDict:
"""The collection of procedural languages in a database."""
def from_map(self, inmap):
"""Initialize the dictionary of languages by examining the input map :param inmap: the input YAML map defining the languages"""
<|body_0|>
def link_refs(self, dbfunctions... | stack_v2_sparse_classes_75kplus_train_073090 | 4,666 | permissive | [
{
"docstring": "Initialize the dictionary of languages by examining the input map :param inmap: the input YAML map defining the languages",
"name": "from_map",
"signature": "def from_map(self, inmap)"
},
{
"docstring": "Connect functions to their respective languages :param dbfunctions: dictiona... | 2 | stack_v2_sparse_classes_30k_val_000684 | Implement the Python class `LanguageDict` described below.
Class description:
The collection of procedural languages in a database.
Method signatures and docstrings:
- def from_map(self, inmap): Initialize the dictionary of languages by examining the input map :param inmap: the input YAML map defining the languages
-... | Implement the Python class `LanguageDict` described below.
Class description:
The collection of procedural languages in a database.
Method signatures and docstrings:
- def from_map(self, inmap): Initialize the dictionary of languages by examining the input map :param inmap: the input YAML map defining the languages
-... | ec682513d5256e383647f38f7fba29530cfb9fbe | <|skeleton|>
class LanguageDict:
"""The collection of procedural languages in a database."""
def from_map(self, inmap):
"""Initialize the dictionary of languages by examining the input map :param inmap: the input YAML map defining the languages"""
<|body_0|>
def link_refs(self, dbfunctions... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LanguageDict:
"""The collection of procedural languages in a database."""
def from_map(self, inmap):
"""Initialize the dictionary of languages by examining the input map :param inmap: the input YAML map defining the languages"""
for key in inmap:
objtype, spc, lng = key.partit... | the_stack_v2_python_sparse | pyrseas/dbobject/language.py | perseas/Pyrseas | train | 323 |
6bb9624ad6794e35bfa301abc06b194e4e4d66a2 | [
"slug = self.kwargs['slug']\npk = self.kwargs['pk']\ntry:\n article = Article.objects.get(slug=slug)\nexcept Article.DoesNotExist:\n raise NotFound('An article with this slug does not exist.')\ntry:\n comment = Comment.objects.get(pk=pk)\nexcept:\n raise NotFound('The comment with that id does not exist... | <|body_start_0|>
slug = self.kwargs['slug']
pk = self.kwargs['pk']
try:
article = Article.objects.get(slug=slug)
except Article.DoesNotExist:
raise NotFound('An article with this slug does not exist.')
try:
comment = Comment.objects.get(pk=pk)
... | View to retreive, update and delete a single comment | CommentRetrieveUpdateDestroy | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommentRetrieveUpdateDestroy:
"""View to retreive, update and delete a single comment"""
def retrieve(self, request, **kwargs):
"""Get single comment"""
<|body_0|>
def destroy(self, request, **kwargs):
"""Delete comment"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_75kplus_train_073091 | 24,455 | permissive | [
{
"docstring": "Get single comment",
"name": "retrieve",
"signature": "def retrieve(self, request, **kwargs)"
},
{
"docstring": "Delete comment",
"name": "destroy",
"signature": "def destroy(self, request, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_050293 | Implement the Python class `CommentRetrieveUpdateDestroy` described below.
Class description:
View to retreive, update and delete a single comment
Method signatures and docstrings:
- def retrieve(self, request, **kwargs): Get single comment
- def destroy(self, request, **kwargs): Delete comment | Implement the Python class `CommentRetrieveUpdateDestroy` described below.
Class description:
View to retreive, update and delete a single comment
Method signatures and docstrings:
- def retrieve(self, request, **kwargs): Get single comment
- def destroy(self, request, **kwargs): Delete comment
<|skeleton|>
class Co... | ebe3a4621a5baf36a9345d4b126ba73dc37acd1f | <|skeleton|>
class CommentRetrieveUpdateDestroy:
"""View to retreive, update and delete a single comment"""
def retrieve(self, request, **kwargs):
"""Get single comment"""
<|body_0|>
def destroy(self, request, **kwargs):
"""Delete comment"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CommentRetrieveUpdateDestroy:
"""View to retreive, update and delete a single comment"""
def retrieve(self, request, **kwargs):
"""Get single comment"""
slug = self.kwargs['slug']
pk = self.kwargs['pk']
try:
article = Article.objects.get(slug=slug)
exce... | the_stack_v2_python_sparse | authors/apps/articles/views.py | andela/ah-leagueOfLegends | train | 0 |
9e0fd25b9bc3c5d5a34b8fa6b14ce95f4ed0cbfa | [
"query = quote_plus(query.lower())\nsoup = self.get_soup(search_url % query)\nresults = []\nfor a in soup.select('ul li a'):\n results.append({'title': a.text.strip(), 'url': self.absolute_url(a['href'])})\nreturn results",
"logger.debug('Visiting %s', self.novel_url)\nsoup = self.get_soup(self.novel_url)\nima... | <|body_start_0|>
query = quote_plus(query.lower())
soup = self.get_soup(search_url % query)
results = []
for a in soup.select('ul li a'):
results.append({'title': a.text.strip(), 'url': self.absolute_url(a['href'])})
return results
<|end_body_0|>
<|body_start_1|>
... | NovelFullPlus | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NovelFullPlus:
def search_novel(self, query):
"""Gets a list of {title, url} matching the given query"""
<|body_0|>
def read_novel_info(self):
"""Get novel title, autor, cover etc"""
<|body_1|>
def download_chapter_body(self, chapter):
"""Downloa... | stack_v2_sparse_classes_75kplus_train_073092 | 2,378 | permissive | [
{
"docstring": "Gets a list of {title, url} matching the given query",
"name": "search_novel",
"signature": "def search_novel(self, query)"
},
{
"docstring": "Get novel title, autor, cover etc",
"name": "read_novel_info",
"signature": "def read_novel_info(self)"
},
{
"docstring":... | 3 | stack_v2_sparse_classes_30k_train_018070 | Implement the Python class `NovelFullPlus` described below.
Class description:
Implement the NovelFullPlus class.
Method signatures and docstrings:
- def search_novel(self, query): Gets a list of {title, url} matching the given query
- def read_novel_info(self): Get novel title, autor, cover etc
- def download_chapte... | Implement the Python class `NovelFullPlus` described below.
Class description:
Implement the NovelFullPlus class.
Method signatures and docstrings:
- def search_novel(self, query): Gets a list of {title, url} matching the given query
- def read_novel_info(self): Get novel title, autor, cover etc
- def download_chapte... | 04143afe1abded83bbf221da2df7ea57f4c7778c | <|skeleton|>
class NovelFullPlus:
def search_novel(self, query):
"""Gets a list of {title, url} matching the given query"""
<|body_0|>
def read_novel_info(self):
"""Get novel title, autor, cover etc"""
<|body_1|>
def download_chapter_body(self, chapter):
"""Downloa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NovelFullPlus:
def search_novel(self, query):
"""Gets a list of {title, url} matching the given query"""
query = quote_plus(query.lower())
soup = self.get_soup(search_url % query)
results = []
for a in soup.select('ul li a'):
results.append({'title': a.text.... | the_stack_v2_python_sparse | sources/en/n/novelfullplus.py | Takishima/lightnovel-crawler | train | 0 | |
c884dd266eb3c1cecf302774bc47e794f5bd24f2 | [
"matcher = ContainsAllIPs(['10.0.0.1', '10.0.0.2', '10.0.0.2'])\nmismatch = matcher.match([{'id': i, 'address': '10.0.0.{0}'.format(i)} for i in (1, 2)])\nself.assertEqual(None, mismatch)",
"matcher = ContainsAllIPs(['10.0.0.1', '10.0.0.2', '10.0.0.2'])\nself.assertNotEqual(None, matcher.match([{'id': i, 'address... | <|body_start_0|>
matcher = ContainsAllIPs(['10.0.0.1', '10.0.0.2', '10.0.0.2'])
mismatch = matcher.match([{'id': i, 'address': '10.0.0.{0}'.format(i)} for i in (1, 2)])
self.assertEqual(None, mismatch)
<|end_body_0|>
<|body_start_1|>
matcher = ContainsAllIPs(['10.0.0.1', '10.0.0.2', '10... | Tests for the CLB matchers. | MatcherTestCase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MatcherTestCase:
"""Tests for the CLB matchers."""
def test_contains_all_ips_success(self):
""":class:`ContainsAllIPs` succeeds when the nodes contain all the IPs given."""
<|body_0|>
def test_contains_all_ips_failure(self):
""":class:`ContainsAllIPs` fail when t... | stack_v2_sparse_classes_75kplus_train_073093 | 18,654 | permissive | [
{
"docstring": ":class:`ContainsAllIPs` succeeds when the nodes contain all the IPs given.",
"name": "test_contains_all_ips_success",
"signature": "def test_contains_all_ips_success(self)"
},
{
"docstring": ":class:`ContainsAllIPs` fail when the nodes contain only some or none of the all the IPs... | 5 | stack_v2_sparse_classes_30k_val_000055 | Implement the Python class `MatcherTestCase` described below.
Class description:
Tests for the CLB matchers.
Method signatures and docstrings:
- def test_contains_all_ips_success(self): :class:`ContainsAllIPs` succeeds when the nodes contain all the IPs given.
- def test_contains_all_ips_failure(self): :class:`Contai... | Implement the Python class `MatcherTestCase` described below.
Class description:
Tests for the CLB matchers.
Method signatures and docstrings:
- def test_contains_all_ips_success(self): :class:`ContainsAllIPs` succeeds when the nodes contain all the IPs given.
- def test_contains_all_ips_failure(self): :class:`Contai... | 7199cdd67255fe116dbcbedea660c13453671134 | <|skeleton|>
class MatcherTestCase:
"""Tests for the CLB matchers."""
def test_contains_all_ips_success(self):
""":class:`ContainsAllIPs` succeeds when the nodes contain all the IPs given."""
<|body_0|>
def test_contains_all_ips_failure(self):
""":class:`ContainsAllIPs` fail when t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MatcherTestCase:
"""Tests for the CLB matchers."""
def test_contains_all_ips_success(self):
""":class:`ContainsAllIPs` succeeds when the nodes contain all the IPs given."""
matcher = ContainsAllIPs(['10.0.0.1', '10.0.0.2', '10.0.0.2'])
mismatch = matcher.match([{'id': i, 'address'... | the_stack_v2_python_sparse | otter/integration/lib/test_cloud_load_balancer.py | rackerlabs/otter | train | 20 |
f73e6f2de88634e45a4411e0a375430bc0ec99b6 | [
"t = 0\nwhile Y > X:\n if Y % 2 == 0:\n Y //= 2\n else:\n Y += 1\n t += 1\nreturn t + X - Y",
"q = [X]\nt = 0\nhas_larger = False\nwhile q:\n cur_q = []\n for e in q:\n if e == Y:\n return t\n cur = e * 2\n if cur >= 1:\n if cur > Y and (not ... | <|body_start_0|>
t = 0
while Y > X:
if Y % 2 == 0:
Y //= 2
else:
Y += 1
t += 1
return t + X - Y
<|end_body_0|>
<|body_start_1|>
q = [X]
t = 0
has_larger = False
while q:
cur_q = []
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def brokenCalc(self, X: int, Y: int) -> int:
"""004_greedy + work backward If Y is odd, we can do only Y = Y + 1 If Y is even, if we plus 1 to Y, then Y is odd, we need to plus another 1. And because (Y + 1 + 1) / 2 = (Y / 2) + 1, 3 operations are more than 2. We always choose ... | stack_v2_sparse_classes_75kplus_train_073094 | 2,145 | no_license | [
{
"docstring": "004_greedy + work backward If Y is odd, we can do only Y = Y + 1 If Y is even, if we plus 1 to Y, then Y is odd, we need to plus another 1. And because (Y + 1 + 1) / 2 = (Y / 2) + 1, 3 operations are more than 2. We always choose Y / 2 if Y is even.",
"name": "brokenCalc",
"signature": "... | 2 | stack_v2_sparse_classes_30k_train_050916 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def brokenCalc(self, X: int, Y: int) -> int: 004_greedy + work backward If Y is odd, we can do only Y = Y + 1 If Y is even, if we plus 1 to Y, then Y is odd, we need to plus anot... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def brokenCalc(self, X: int, Y: int) -> int: 004_greedy + work backward If Y is odd, we can do only Y = Y + 1 If Y is even, if we plus 1 to Y, then Y is odd, we need to plus anot... | 929dde1723fb2f54870c8a9badc80fc23e8400d3 | <|skeleton|>
class Solution:
def brokenCalc(self, X: int, Y: int) -> int:
"""004_greedy + work backward If Y is odd, we can do only Y = Y + 1 If Y is even, if we plus 1 to Y, then Y is odd, we need to plus another 1. And because (Y + 1 + 1) / 2 = (Y / 2) + 1, 3 operations are more than 2. We always choose ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def brokenCalc(self, X: int, Y: int) -> int:
"""004_greedy + work backward If Y is odd, we can do only Y = Y + 1 If Y is even, if we plus 1 to Y, then Y is odd, we need to plus another 1. And because (Y + 1 + 1) / 2 = (Y / 2) + 1, 3 operations are more than 2. We always choose Y / 2 if Y is ... | the_stack_v2_python_sparse | _algorithms_challenges/leetcode/LeetCode/991 Broken Calculator.py | syurskyi/Algorithms_and_Data_Structure | train | 4 | |
f18e04a53af441fdd4d3a7515bf85f835a289cd2 | [
"params = request.params.copy()\nif not api_tool.check_api_access(params.get('appid')):\n return json.dumps({'state': False, 'msg': '拒绝访问'})\nimages = request.env['applet.home.images'].sudo().search([('active', '=', True)])\nreturn_list = list()\nfor image in images:\n return_list.append({'name': image.name, ... | <|body_start_0|>
params = request.params.copy()
if not api_tool.check_api_access(params.get('appid')):
return json.dumps({'state': False, 'msg': '拒绝访问'})
images = request.env['applet.home.images'].sudo().search([('active', '=', True)])
return_list = list()
for image i... | 小程序接口 | AppletApiController | [
"GPL-3.0-only",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppletApiController:
"""小程序接口"""
def get_applet_hemo_images(self, **kw):
"""获取小程序首页滚动图片 返回所有状态为有效的图片地址 :param kw: :return:"""
<|body_0|>
def get_all_enterprise_dynamic(self, **kw):
"""获取企业动态数据 返回所有有效的数据 :param kw: :return:"""
<|body_1|>
def get_enter... | stack_v2_sparse_classes_75kplus_train_073095 | 3,558 | permissive | [
{
"docstring": "获取小程序首页滚动图片 返回所有状态为有效的图片地址 :param kw: :return:",
"name": "get_applet_hemo_images",
"signature": "def get_applet_hemo_images(self, **kw)"
},
{
"docstring": "获取企业动态数据 返回所有有效的数据 :param kw: :return:",
"name": "get_all_enterprise_dynamic",
"signature": "def get_all_enterprise_... | 3 | null | Implement the Python class `AppletApiController` described below.
Class description:
小程序接口
Method signatures and docstrings:
- def get_applet_hemo_images(self, **kw): 获取小程序首页滚动图片 返回所有状态为有效的图片地址 :param kw: :return:
- def get_all_enterprise_dynamic(self, **kw): 获取企业动态数据 返回所有有效的数据 :param kw: :return:
- def get_enterpris... | Implement the Python class `AppletApiController` described below.
Class description:
小程序接口
Method signatures and docstrings:
- def get_applet_hemo_images(self, **kw): 获取小程序首页滚动图片 返回所有状态为有效的图片地址 :param kw: :return:
- def get_all_enterprise_dynamic(self, **kw): 获取企业动态数据 返回所有有效的数据 :param kw: :return:
- def get_enterpris... | 8608aaeae7a8c86d53b68ce26b7b308f779c3dd8 | <|skeleton|>
class AppletApiController:
"""小程序接口"""
def get_applet_hemo_images(self, **kw):
"""获取小程序首页滚动图片 返回所有状态为有效的图片地址 :param kw: :return:"""
<|body_0|>
def get_all_enterprise_dynamic(self, **kw):
"""获取企业动态数据 返回所有有效的数据 :param kw: :return:"""
<|body_1|>
def get_enter... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AppletApiController:
"""小程序接口"""
def get_applet_hemo_images(self, **kw):
"""获取小程序首页滚动图片 返回所有状态为有效的图片地址 :param kw: :return:"""
params = request.params.copy()
if not api_tool.check_api_access(params.get('appid')):
return json.dumps({'state': False, 'msg': '拒绝访问'})
... | the_stack_v2_python_sparse | odoo_hcm/controllers/applet_api.py | niulinlnc/odooExtModel | train | 4 |
6d36876cfb54b81bb67d3e61f70f60e4df48e2e2 | [
"dic = set()\nwhile headA and headB:\n if headA not in dic and headB not in dic:\n dic.add(headA)\n if headB not in dic:\n dic.add(headB)\n else:\n return headB\n headA = headA.next\n headB = headB.next\n elif headA in dic:\n return headA\n el... | <|body_start_0|>
dic = set()
while headA and headB:
if headA not in dic and headB not in dic:
dic.add(headA)
if headB not in dic:
dic.add(headB)
else:
return headB
headA = headA.next
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_0|>
def getIntersectionNode_2_pointers(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_1|>
def getIntersecti... | stack_v2_sparse_classes_75kplus_train_073096 | 3,332 | no_license | [
{
"docstring": ":type head1, head1: ListNode :rtype: ListNode",
"name": "getIntersectionNode",
"signature": "def getIntersectionNode(self, headA, headB)"
},
{
"docstring": ":type head1, head1: ListNode :rtype: ListNode",
"name": "getIntersectionNode_2_pointers",
"signature": "def getInte... | 3 | stack_v2_sparse_classes_30k_train_018528 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA, headB): :type head1, head1: ListNode :rtype: ListNode
- def getIntersectionNode_2_pointers(self, headA, headB): :type head1, head1: ListNode ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode(self, headA, headB): :type head1, head1: ListNode :rtype: ListNode
- def getIntersectionNode_2_pointers(self, headA, headB): :type head1, head1: ListNode ... | 85f71621c54f6b0029f3a2746f022f89dd7419d9 | <|skeleton|>
class Solution:
def getIntersectionNode(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_0|>
def getIntersectionNode_2_pointers(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
<|body_1|>
def getIntersecti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getIntersectionNode(self, headA, headB):
""":type head1, head1: ListNode :rtype: ListNode"""
dic = set()
while headA and headB:
if headA not in dic and headB not in dic:
dic.add(headA)
if headB not in dic:
di... | the_stack_v2_python_sparse | LeetCode/LinkedList/160_intersection_of_two_linked_lists.py | XyK0907/for_work | train | 0 | |
886dc4fc849a4ed7c65a323c6b90eefa5c988563 | [
"if lang == 'en':\n self.labMT, self.labMTvector, self.labMTwordList = emotionFileReader(stopval=0.0, lang='english', returnVector=True)\nelif lang == 'ar':\n self.labMT, self.labMTvector, self.labMTwordList = emotionFileReader(stopval=0.0, lang='arabic', returnVector=True)",
"valence, fvec = emotion(text, ... | <|body_start_0|>
if lang == 'en':
self.labMT, self.labMTvector, self.labMTwordList = emotionFileReader(stopval=0.0, lang='english', returnVector=True)
elif lang == 'ar':
self.labMT, self.labMTvector, self.labMTwordList = emotionFileReader(stopval=0.0, lang='arabic', returnVector=... | Class to interact with LabMT Paper The language-dependent relationship between word happiness and frequency http://www.pnas.org/content/112/23/E2983.full.pdf Credit http://labmt-simple.readthedocs.io/labMTsimple.html | LabMT | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LabMT:
"""Class to interact with LabMT Paper The language-dependent relationship between word happiness and frequency http://www.pnas.org/content/112/23/E2983.full.pdf Credit http://labmt-simple.readthedocs.io/labMTsimple.html"""
def __init__(self, lang='en'):
"""Initialize the class... | stack_v2_sparse_classes_75kplus_train_073097 | 1,331 | permissive | [
{
"docstring": "Initialize the class with the language :param lang: a text to be analyzed :type lang: :py:class:`str`",
"name": "__init__",
"signature": "def __init__(self, lang='en')"
},
{
"docstring": "Get sentiment score for a given text text :param text: a text to be analyzed :type text: :py... | 2 | null | Implement the Python class `LabMT` described below.
Class description:
Class to interact with LabMT Paper The language-dependent relationship between word happiness and frequency http://www.pnas.org/content/112/23/E2983.full.pdf Credit http://labmt-simple.readthedocs.io/labMTsimple.html
Method signatures and docstrin... | Implement the Python class `LabMT` described below.
Class description:
Class to interact with LabMT Paper The language-dependent relationship between word happiness and frequency http://www.pnas.org/content/112/23/E2983.full.pdf Credit http://labmt-simple.readthedocs.io/labMTsimple.html
Method signatures and docstrin... | 2b1d8050e701f574890d3484d49954ee6e22df52 | <|skeleton|>
class LabMT:
"""Class to interact with LabMT Paper The language-dependent relationship between word happiness and frequency http://www.pnas.org/content/112/23/E2983.full.pdf Credit http://labmt-simple.readthedocs.io/labMTsimple.html"""
def __init__(self, lang='en'):
"""Initialize the class... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LabMT:
"""Class to interact with LabMT Paper The language-dependent relationship between word happiness and frequency http://www.pnas.org/content/112/23/E2983.full.pdf Credit http://labmt-simple.readthedocs.io/labMTsimple.html"""
def __init__(self, lang='en'):
"""Initialize the class with the lan... | the_stack_v2_python_sparse | wren/data_discovery/sentiment_analyzer/labmt.py | vishnugithub1989/wren | train | 0 |
936d56e95df0eab69456189fd3c8ecc9f181c1d3 | [
"for subkey in profile_list_key.GetSubkeys():\n profile_image_path = self._GetValueFromKey(subkey, 'ProfileImagePath')\n yield UserProfile(subkey.name, profile_image_path)",
"profile_list_key = registry.GetKeyByPath(self._PROFILE_LIST_KEY_PATH)\nif profile_list_key:\n yield from self._CollectUserProfiles... | <|body_start_0|>
for subkey in profile_list_key.GetSubkeys():
profile_image_path = self._GetValueFromKey(subkey, 'ProfileImagePath')
yield UserProfile(subkey.name, profile_image_path)
<|end_body_0|>
<|body_start_1|>
profile_list_key = registry.GetKeyByPath(self._PROFILE_LIST_KEY... | Windows user profiles collector. | UserProfilesCollector | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProfilesCollector:
"""Windows user profiles collector."""
def _CollectUserProfiles(self, profile_list_key):
"""Collects user profiles. Args: profile_list_key (dfwinreg.WinRegistryKey): profile list Windows Registry. Yields: UserProfile: an user profile."""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_073098 | 1,644 | permissive | [
{
"docstring": "Collects user profiles. Args: profile_list_key (dfwinreg.WinRegistryKey): profile list Windows Registry. Yields: UserProfile: an user profile.",
"name": "_CollectUserProfiles",
"signature": "def _CollectUserProfiles(self, profile_list_key)"
},
{
"docstring": "Collects user profil... | 2 | stack_v2_sparse_classes_30k_train_023992 | Implement the Python class `UserProfilesCollector` described below.
Class description:
Windows user profiles collector.
Method signatures and docstrings:
- def _CollectUserProfiles(self, profile_list_key): Collects user profiles. Args: profile_list_key (dfwinreg.WinRegistryKey): profile list Windows Registry. Yields:... | Implement the Python class `UserProfilesCollector` described below.
Class description:
Windows user profiles collector.
Method signatures and docstrings:
- def _CollectUserProfiles(self, profile_list_key): Collects user profiles. Args: profile_list_key (dfwinreg.WinRegistryKey): profile list Windows Registry. Yields:... | d149aff1b8ff97e1cc8d7416fc583b964bad4ccd | <|skeleton|>
class UserProfilesCollector:
"""Windows user profiles collector."""
def _CollectUserProfiles(self, profile_list_key):
"""Collects user profiles. Args: profile_list_key (dfwinreg.WinRegistryKey): profile list Windows Registry. Yields: UserProfile: an user profile."""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserProfilesCollector:
"""Windows user profiles collector."""
def _CollectUserProfiles(self, profile_list_key):
"""Collects user profiles. Args: profile_list_key (dfwinreg.WinRegistryKey): profile list Windows Registry. Yields: UserProfile: an user profile."""
for subkey in profile_list_k... | the_stack_v2_python_sparse | winregrc/profiles.py | libyal/winreg-kb | train | 129 |
b88668b8a5ae103983cf64389b1c0ac7cacf313f | [
"if max_iterations < 0:\n raise ValueError(f'Maximum iteration value must be positive, not {max_iterations}')\nself._MAX_ITERATIONS = max_iterations\nself._iteration_counter = 0",
"self._iteration_counter += 1\nif self._iteration_counter > self._MAX_ITERATIONS:\n raise RuntimeError(f'Maximum of {self._MAX_I... | <|body_start_0|>
if max_iterations < 0:
raise ValueError(f'Maximum iteration value must be positive, not {max_iterations}')
self._MAX_ITERATIONS = max_iterations
self._iteration_counter = 0
<|end_body_0|>
<|body_start_1|>
self._iteration_counter += 1
if self._iterati... | Class to keep track of an iteration count | IterationCounter | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IterationCounter:
"""Class to keep track of an iteration count"""
def __init__(self, max_iterations: int) -> None:
"""Creates an IterationCounter with a given amount of maximum iterations :param max_iterations: The maximum amount of iterations allowed :raises ValueError: If the value... | stack_v2_sparse_classes_75kplus_train_073099 | 1,000 | permissive | [
{
"docstring": "Creates an IterationCounter with a given amount of maximum iterations :param max_iterations: The maximum amount of iterations allowed :raises ValueError: If the value is negative",
"name": "__init__",
"signature": "def __init__(self, max_iterations: int) -> None"
},
{
"docstring"... | 2 | stack_v2_sparse_classes_30k_train_015328 | Implement the Python class `IterationCounter` described below.
Class description:
Class to keep track of an iteration count
Method signatures and docstrings:
- def __init__(self, max_iterations: int) -> None: Creates an IterationCounter with a given amount of maximum iterations :param max_iterations: The maximum amou... | Implement the Python class `IterationCounter` described below.
Class description:
Class to keep track of an iteration count
Method signatures and docstrings:
- def __init__(self, max_iterations: int) -> None: Creates an IterationCounter with a given amount of maximum iterations :param max_iterations: The maximum amou... | 59c9a35289fb29afedad0e3edd0519b67372ef9f | <|skeleton|>
class IterationCounter:
"""Class to keep track of an iteration count"""
def __init__(self, max_iterations: int) -> None:
"""Creates an IterationCounter with a given amount of maximum iterations :param max_iterations: The maximum amount of iterations allowed :raises ValueError: If the value... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IterationCounter:
"""Class to keep track of an iteration count"""
def __init__(self, max_iterations: int) -> None:
"""Creates an IterationCounter with a given amount of maximum iterations :param max_iterations: The maximum amount of iterations allowed :raises ValueError: If the value is negative"... | the_stack_v2_python_sparse | hacker/hackvm/counter.py | Tenebrar/codebase | train | 1 |
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