blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
eb1dae0ae5675024be34465338bfeeed1f504026 | [
"super(CenterLoss, self).__init__()\nself.class_number = class_number\nself.feature_number = feature_number\n'将中心点定义为可以学习的参数'\nself.center_point = nn.Parameter(torch.randn(class_number, feature_number), requires_grad=True)\n'\\n [1,0],\\n [0.809016994374947424,0.587785252292],\\n [0... | <|body_start_0|>
super(CenterLoss, self).__init__()
self.class_number = class_number
self.feature_number = feature_number
'将中心点定义为可以学习的参数'
self.center_point = nn.Parameter(torch.randn(class_number, feature_number), requires_grad=True)
'\n [1,0],\n [0... | CenterLoss | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CenterLoss:
def __init__(self, feature_number, class_number):
"""初始化中心损失(center loss) :param feature_number:特征的数量 :param class_number:分类的数量"""
<|body_0|>
def forward(self, feature, target):
"""计算中心损失 :param feature: 特征向量。 :param target: 分类标签，未进行one_hot处理的。 :return: 损... | stack_v2_sparse_classes_36k_train_018800 | 1,967 | no_license | [
{
"docstring": "初始化中心损失(center loss) :param feature_number:特征的数量 :param class_number:分类的数量",
"name": "__init__",
"signature": "def __init__(self, feature_number, class_number)"
},
{
"docstring": "计算中心损失 :param feature: 特征向量。 :param target: 分类标签，未进行one_hot处理的。 :return: 损失",
"name": "forward",... | 2 | stack_v2_sparse_classes_30k_train_002459 | Implement the Python class `CenterLoss` described below.
Class description:
Implement the CenterLoss class.
Method signatures and docstrings:
- def __init__(self, feature_number, class_number): 初始化中心损失(center loss) :param feature_number:特征的数量 :param class_number:分类的数量
- def forward(self, feature, target): 计算中心损失 :par... | Implement the Python class `CenterLoss` described below.
Class description:
Implement the CenterLoss class.
Method signatures and docstrings:
- def __init__(self, feature_number, class_number): 初始化中心损失(center loss) :param feature_number:特征的数量 :param class_number:分类的数量
- def forward(self, feature, target): 计算中心损失 :par... | f13669f65a636d31a033681b7849bfebe0dc3e8c | <|skeleton|>
class CenterLoss:
def __init__(self, feature_number, class_number):
"""初始化中心损失(center loss) :param feature_number:特征的数量 :param class_number:分类的数量"""
<|body_0|>
def forward(self, feature, target):
"""计算中心损失 :param feature: 特征向量。 :param target: 分类标签，未进行one_hot处理的。 :return: 损... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CenterLoss:
def __init__(self, feature_number, class_number):
"""初始化中心损失(center loss) :param feature_number:特征的数量 :param class_number:分类的数量"""
super(CenterLoss, self).__init__()
self.class_number = class_number
self.feature_number = feature_number
'将中心点定义为可以学习的参数'
... | the_stack_v2_python_sparse | Chapter03/C03CenterLoss.py | shituo123456/Learn-DeepLearning | train | 0 | |
1df7fac2136e02a60b597652e28fd3b08e48631a | [
"self._board = board\nEventHandler.__init__(self)\nself._window = win\nself._prevCard = None\nself._deck = self._board.getDeck()\nself._card = self._deck.getTop()\nself._card.addTo(win)\nself._button = Rectangle(100, 50, (800, 75))\nself._button.setFillColor('salmon')\nwin.add(self._button)\nself._button.addHandler... | <|body_start_0|>
self._board = board
EventHandler.__init__(self)
self._window = win
self._prevCard = None
self._deck = self._board.getDeck()
self._card = self._deck.getTop()
self._card.addTo(win)
self._button = Rectangle(100, 50, (800, 75))
self._b... | Creates a controller and adds an event handler to the button | Controller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Controller:
"""Creates a controller and adds an event handler to the button"""
def __init__(self, win, board):
"""Set up all objects on the window"""
<|body_0|>
def handleMouseRelease(self, event):
"""Creates an event handler that runs through a series of code wh... | stack_v2_sparse_classes_36k_train_018801 | 24,158 | no_license | [
{
"docstring": "Set up all objects on the window",
"name": "__init__",
"signature": "def __init__(self, win, board)"
},
{
"docstring": "Creates an event handler that runs through a series of code when the event occurs",
"name": "handleMouseRelease",
"signature": "def handleMouseRelease(s... | 2 | null | Implement the Python class `Controller` described below.
Class description:
Creates a controller and adds an event handler to the button
Method signatures and docstrings:
- def __init__(self, win, board): Set up all objects on the window
- def handleMouseRelease(self, event): Creates an event handler that runs throug... | Implement the Python class `Controller` described below.
Class description:
Creates a controller and adds an event handler to the button
Method signatures and docstrings:
- def __init__(self, win, board): Set up all objects on the window
- def handleMouseRelease(self, event): Creates an event handler that runs throug... | e5d96a65fc84481b85072cfb55dea9a0666634b5 | <|skeleton|>
class Controller:
"""Creates a controller and adds an event handler to the button"""
def __init__(self, win, board):
"""Set up all objects on the window"""
<|body_0|>
def handleMouseRelease(self, event):
"""Creates an event handler that runs through a series of code wh... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Controller:
"""Creates a controller and adds an event handler to the button"""
def __init__(self, win, board):
"""Set up all objects on the window"""
self._board = board
EventHandler.__init__(self)
self._window = win
self._prevCard = None
self._deck = self.... | the_stack_v2_python_sparse | Games-2017/40/Game.py | paulmagnus/CSPy | train | 0 |
cae4470d231530af30d4884258712f55612b2a17 | [
"self.temp = Temperature()\ntemp_label = Label(window, text='Temperature (in F):')\ntemp_label.grid(row=0, column=0, sticky=E)\nself._ftemp = IntVar()\ntemp_entry = Entry(window, textvariable=self._ftemp, width=5)\ntemp_entry.grid(row=0, column=1, sticky=W)\nconvert_button = Button(window, text='Convert to Celcius'... | <|body_start_0|>
self.temp = Temperature()
temp_label = Label(window, text='Temperature (in F):')
temp_label.grid(row=0, column=0, sticky=E)
self._ftemp = IntVar()
temp_entry = Entry(window, textvariable=self._ftemp, width=5)
temp_entry.grid(row=0, column=1, sticky=W)
... | This will create the GUI application class | Gui | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Gui:
"""This will create the GUI application class"""
def __init__(self, window):
"""This method will open up a window that converts a fahrenheit temperature to celcius"""
<|body_0|>
def convert_celcius(self):
"""This method is a command function for the conversi... | stack_v2_sparse_classes_36k_train_018802 | 2,217 | no_license | [
{
"docstring": "This method will open up a window that converts a fahrenheit temperature to celcius",
"name": "__init__",
"signature": "def __init__(self, window)"
},
{
"docstring": "This method is a command function for the conversion button to callback once the user presses the button",
"n... | 2 | stack_v2_sparse_classes_30k_train_009424 | Implement the Python class `Gui` described below.
Class description:
This will create the GUI application class
Method signatures and docstrings:
- def __init__(self, window): This method will open up a window that converts a fahrenheit temperature to celcius
- def convert_celcius(self): This method is a command func... | Implement the Python class `Gui` described below.
Class description:
This will create the GUI application class
Method signatures and docstrings:
- def __init__(self, window): This method will open up a window that converts a fahrenheit temperature to celcius
- def convert_celcius(self): This method is a command func... | 3ba64a4beebc44eba44847655a77ce12f8152fee | <|skeleton|>
class Gui:
"""This will create the GUI application class"""
def __init__(self, window):
"""This method will open up a window that converts a fahrenheit temperature to celcius"""
<|body_0|>
def convert_celcius(self):
"""This method is a command function for the conversi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Gui:
"""This will create the GUI application class"""
def __init__(self, window):
"""This method will open up a window that converts a fahrenheit temperature to celcius"""
self.temp = Temperature()
temp_label = Label(window, text='Temperature (in F):')
temp_label.grid(row=... | the_stack_v2_python_sparse | homework11/gui.py | sinai228/cs108 | train | 0 |
563c01c3d02371200a5855583bc607df3f3df69b | [
"super(DeepFM, self).__init__()\nself.field_size = field_size\nself.embedding_size = embedding_size\nself.fm = FM(feature_size=feature_size, embedding_size=embedding_size, out_type='regression')\nself.fc_dims = fc_dims if fc_dims else [32, 32, 32]\nself.dnn = MLP(embedding_size * field_size, fc_dims=fc_dims, dropou... | <|body_start_0|>
super(DeepFM, self).__init__()
self.field_size = field_size
self.embedding_size = embedding_size
self.fm = FM(feature_size=feature_size, embedding_size=embedding_size, out_type='regression')
self.fc_dims = fc_dims if fc_dims else [32, 32, 32]
self.dnn = M... | DeepFM | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeepFM:
def __init__(self, feature_size, field_size, embedding_size=5, fc_dims=[32, 32, 32], dropout=0.0, is_batch_norm=False, out_type='binary'):
"""Init model :param feature_size: int, size of the feature dictionary :param field_size: int, size of the feature fields :param embedding_si... | stack_v2_sparse_classes_36k_train_018803 | 2,470 | permissive | [
{
"docstring": "Init model :param feature_size: int, size of the feature dictionary :param field_size: int, size of the feature fields :param embedding_size: int, size of the feature embedding :param fc_dims: range, fc dims range :param dropout: float, dropout rate :param is_batch_norm: bool, use batch normaliz... | 2 | stack_v2_sparse_classes_30k_train_017080 | Implement the Python class `DeepFM` described below.
Class description:
Implement the DeepFM class.
Method signatures and docstrings:
- def __init__(self, feature_size, field_size, embedding_size=5, fc_dims=[32, 32, 32], dropout=0.0, is_batch_norm=False, out_type='binary'): Init model :param feature_size: int, size o... | Implement the Python class `DeepFM` described below.
Class description:
Implement the DeepFM class.
Method signatures and docstrings:
- def __init__(self, feature_size, field_size, embedding_size=5, fc_dims=[32, 32, 32], dropout=0.0, is_batch_norm=False, out_type='binary'): Init model :param feature_size: int, size o... | 8437dea8baf0137ab3c07dd19c5f2bb8c15b4435 | <|skeleton|>
class DeepFM:
def __init__(self, feature_size, field_size, embedding_size=5, fc_dims=[32, 32, 32], dropout=0.0, is_batch_norm=False, out_type='binary'):
"""Init model :param feature_size: int, size of the feature dictionary :param field_size: int, size of the feature fields :param embedding_si... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeepFM:
def __init__(self, feature_size, field_size, embedding_size=5, fc_dims=[32, 32, 32], dropout=0.0, is_batch_norm=False, out_type='binary'):
"""Init model :param feature_size: int, size of the feature dictionary :param field_size: int, size of the feature fields :param embedding_size: int, size ... | the_stack_v2_python_sparse | rater/models/ctr/deepfm.py | geziaka/rater | train | 0 | |
a7b80a8f81b7ecde370f3b96a072275c40133327 | [
"filename = os.path.basename(model_path)\nprint('Loading imads model: %s' % filename)\nself.modeldict = self.load_model(model_path)\nself.core = core\nself.width = width\nself.kmers = kmers",
"model = svmutil.svm_load_model(model_file)\nmodel_dict = {'model': model}\nif check_size:\n model_dict['size'] = len(m... | <|body_start_0|>
filename = os.path.basename(model_path)
print('Loading imads model: %s' % filename)
self.modeldict = self.load_model(model_path)
self.core = core
self.width = width
self.kmers = kmers
<|end_body_0|>
<|body_start_1|>
model = svmutil.svm_load_model... | classdocs | iMADSModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class iMADSModel:
"""classdocs"""
def __init__(self, model_path, core, width, kmers):
"""Constructor"""
<|body_0|>
def load_model(self, model_file, check_size=True):
"""Taken from: https://github.com/Duke-GCB/Predict-TF-Binding Loads a svm model from a file and compute... | stack_v2_sparse_classes_36k_train_018804 | 2,925 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, model_path, core, width, kmers)"
},
{
"docstring": "Taken from: https://github.com/Duke-GCB/Predict-TF-Binding Loads a svm model from a file and computes its size :param model_file: The file name of the model to l... | 3 | null | Implement the Python class `iMADSModel` described below.
Class description:
classdocs
Method signatures and docstrings:
- def __init__(self, model_path, core, width, kmers): Constructor
- def load_model(self, model_file, check_size=True): Taken from: https://github.com/Duke-GCB/Predict-TF-Binding Loads a svm model fr... | Implement the Python class `iMADSModel` described below.
Class description:
classdocs
Method signatures and docstrings:
- def __init__(self, model_path, core, width, kmers): Constructor
- def load_model(self, model_file, check_size=True): Taken from: https://github.com/Duke-GCB/Predict-TF-Binding Loads a svm model fr... | 6271b7ede0cacc8fea2b93798b46efb867971478 | <|skeleton|>
class iMADSModel:
"""classdocs"""
def __init__(self, model_path, core, width, kmers):
"""Constructor"""
<|body_0|>
def load_model(self, model_file, check_size=True):
"""Taken from: https://github.com/Duke-GCB/Predict-TF-Binding Loads a svm model from a file and compute... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class iMADSModel:
"""classdocs"""
def __init__(self, model_path, core, width, kmers):
"""Constructor"""
filename = os.path.basename(model_path)
print('Loading imads model: %s' % filename)
self.modeldict = self.load_model(model_path)
self.core = core
self.width = ... | the_stack_v2_python_sparse | chip2probe/probe_generator/src_v1/probefilter/sitesfinder/imadsmodel.py | vincentiusmartin/chip2probe | train | 1 |
cafa95f5d7ce443c09a6109cd530b405caa1c870 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | RobotTtsServiceServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RobotTtsServiceServicer:
def Speak(self, request, context):
"""语音播报"""
<|body_0|>
def SendQa(self, request, context):
"""发送QA，包括问题和答案"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set... | stack_v2_sparse_classes_36k_train_018805 | 2,419 | no_license | [
{
"docstring": "语音播报",
"name": "Speak",
"signature": "def Speak(self, request, context)"
},
{
"docstring": "发送QA，包括问题和答案",
"name": "SendQa",
"signature": "def SendQa(self, request, context)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005153 | Implement the Python class `RobotTtsServiceServicer` described below.
Class description:
Implement the RobotTtsServiceServicer class.
Method signatures and docstrings:
- def Speak(self, request, context): 语音播报
- def SendQa(self, request, context): 发送QA，包括问题和答案 | Implement the Python class `RobotTtsServiceServicer` described below.
Class description:
Implement the RobotTtsServiceServicer class.
Method signatures and docstrings:
- def Speak(self, request, context): 语音播报
- def SendQa(self, request, context): 发送QA，包括问题和答案
<|skeleton|>
class RobotTtsServiceServicer:
def Spe... | be042a0ac5a44ca4148b4b3608a388519b268f6e | <|skeleton|>
class RobotTtsServiceServicer:
def Speak(self, request, context):
"""语音播报"""
<|body_0|>
def SendQa(self, request, context):
"""发送QA，包括问题和答案"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RobotTtsServiceServicer:
def Speak(self, request, context):
"""语音播报"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def SendQa(self, request, context):
"""发送QA，包括... | the_stack_v2_python_sparse | protopb/robot_skill_api/robot_tts_api_pb2_grpc.py | zlfdtc1983/lfzhaotest | train | 0 | |
cd677f47704064da2555164268f595f8a97e2850 | [
"input_json = request.data\noutput_json = dict(zip(['AvailabilityDetails', 'AuthenticationDetails', 'SessionDetails', 'Payload'], [input_json['AvailabilityDetails'], input_json['AuthenticationDetails'], input_json['SessionDetails'], None]))\ntry:\n json_params = input_json['APIParams']\n json_params['profile_... | <|body_start_0|>
input_json = request.data
output_json = dict(zip(['AvailabilityDetails', 'AuthenticationDetails', 'SessionDetails', 'Payload'], [input_json['AvailabilityDetails'], input_json['AuthenticationDetails'], input_json['SessionDetails'], None]))
try:
json_params = input_jso... | This API will update notification status for a notification | UpdateNotificationStatusAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateNotificationStatusAPI:
"""This API will update notification status for a notification"""
def post(self, request):
"""Post function to update notification status for a notification"""
<|body_0|>
def update_notification_status_json(self, request):
"""This API... | stack_v2_sparse_classes_36k_train_018806 | 2,824 | no_license | [
{
"docstring": "Post function to update notification status for a notification",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "This API will update notification status for a notification :param request: { 'individual_notification_id':1, 'notification_status':3 } :retu... | 2 | null | Implement the Python class `UpdateNotificationStatusAPI` described below.
Class description:
This API will update notification status for a notification
Method signatures and docstrings:
- def post(self, request): Post function to update notification status for a notification
- def update_notification_status_json(sel... | Implement the Python class `UpdateNotificationStatusAPI` described below.
Class description:
This API will update notification status for a notification
Method signatures and docstrings:
- def post(self, request): Post function to update notification status for a notification
- def update_notification_status_json(sel... | 36eb9931f330e64902354c6fc471be2adf4b7049 | <|skeleton|>
class UpdateNotificationStatusAPI:
"""This API will update notification status for a notification"""
def post(self, request):
"""Post function to update notification status for a notification"""
<|body_0|>
def update_notification_status_json(self, request):
"""This API... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpdateNotificationStatusAPI:
"""This API will update notification status for a notification"""
def post(self, request):
"""Post function to update notification status for a notification"""
input_json = request.data
output_json = dict(zip(['AvailabilityDetails', 'AuthenticationDeta... | the_stack_v2_python_sparse | Generic/common/notifications_new/api/update_notification_status/views_update_notification_status.py | archiemb303/common_backend_django | train | 0 |
1c07703a931c4fbfbc0faba73060113fb62c52fd | [
"curr, prev = (head, None)\nwhile curr is not None:\n curr.next, curr, prev = (prev, curr.next, curr)\nreturn prev",
"if head is None or head.next is None:\n return head\nnew_head = self.reverseList(head.next)\nhead.next.next = head\nhead.next = None\nreturn new_head"
] | <|body_start_0|>
curr, prev = (head, None)
while curr is not None:
curr.next, curr, prev = (prev, curr.next, curr)
return prev
<|end_body_0|>
<|body_start_1|>
if head is None or head.next is None:
return head
new_head = self.reverseList(head.next)
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList2(self, head: ListNode) -> ListNode:
"""Iterative approach"""
<|body_0|>
def reverseList(self, head: ListNode) -> ListNode:
"""Recursive approach - problem"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
curr, prev = (head, ... | stack_v2_sparse_classes_36k_train_018807 | 2,072 | permissive | [
{
"docstring": "Iterative approach",
"name": "reverseList2",
"signature": "def reverseList2(self, head: ListNode) -> ListNode"
},
{
"docstring": "Recursive approach - problem",
"name": "reverseList",
"signature": "def reverseList(self, head: ListNode) -> ListNode"
}
] | 2 | stack_v2_sparse_classes_30k_test_000413 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList2(self, head: ListNode) -> ListNode: Iterative approach
- def reverseList(self, head: ListNode) -> ListNode: Recursive approach - problem | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList2(self, head: ListNode) -> ListNode: Iterative approach
- def reverseList(self, head: ListNode) -> ListNode: Recursive approach - problem
<|skeleton|>
class Solut... | 8504db89a3f6a1596c0bb7343a4936884b44e6ea | <|skeleton|>
class Solution:
def reverseList2(self, head: ListNode) -> ListNode:
"""Iterative approach"""
<|body_0|>
def reverseList(self, head: ListNode) -> ListNode:
"""Recursive approach - problem"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseList2(self, head: ListNode) -> ListNode:
"""Iterative approach"""
curr, prev = (head, None)
while curr is not None:
curr.next, curr, prev = (prev, curr.next, curr)
return prev
def reverseList(self, head: ListNode) -> ListNode:
"""Re... | the_stack_v2_python_sparse | array_linked_list/L206.py | fimh/dsa-py | train | 2 | |
6ed00ebd1cbc3830c00bc91638f7626ffa4df326 | [
"settings.addListsToRepository('skeinforge_tools.craft_plugins.export.html', '', self)\nself.fileNameInput = settings.FileNameInput().getFromFileName(interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Export', self, '')\nself.openWikiManualHelpPage = settings.HelpPage().getOpenFromAbsolute('http://www.... | <|body_start_0|>
settings.addListsToRepository('skeinforge_tools.craft_plugins.export.html', '', self)
self.fileNameInput = settings.FileNameInput().getFromFileName(interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Export', self, '')
self.openWikiManualHelpPage = settings.HelpPage(... | A class to handle the export settings. | ExportRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExportRepository:
"""A class to handle the export settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Export button has been clicked."""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_018808 | 13,406 | no_license | [
{
"docstring": "Set the default settings, execute title & settings fileName.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Export button has been clicked.",
"name": "execute",
"signature": "def execute(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015707 | Implement the Python class `ExportRepository` described below.
Class description:
A class to handle the export settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Export button has been clicked. | Implement the Python class `ExportRepository` described below.
Class description:
A class to handle the export settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Export button has been clicked.
<|skeleton|>
class ExportR... | fd69d8e856780c826386dc973ceabcc03623f3e8 | <|skeleton|>
class ExportRepository:
"""A class to handle the export settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Export button has been clicked."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExportRepository:
"""A class to handle the export settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
settings.addListsToRepository('skeinforge_tools.craft_plugins.export.html', '', self)
self.fileNameInput = settings.FileNameInput()... | the_stack_v2_python_sparse | skeinforge_tools/craft_plugins/export.py | bmander/skeinforge | train | 34 |
0c4c0da9c7bd22492357149030214fce661c7e25 | [
"try:\n return Category.objects.get(pk=pk_category)\nexcept Category.DoesNotExist:\n raise Http404",
"category = self.get_object(pk)\nresponse = self.serializer(category)\nreturn Response(response.data, status=status.HTTP_200_OK)",
"category = self.get_object(pk)\nresponse = self.serializer(category, data... | <|body_start_0|>
try:
return Category.objects.get(pk=pk_category)
except Category.DoesNotExist:
raise Http404
<|end_body_0|>
<|body_start_1|>
category = self.get_object(pk)
response = self.serializer(category)
return Response(response.data, status=status.... | ... | VCategoryDetail | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VCategoryDetail:
"""..."""
def get_object(self, pk_category: Union[int, str]):
"""..."""
<|body_0|>
def get(self, request, pk: Union[int, str], format=None):
"""..."""
<|body_1|>
def put(self, request, pk: Union[int, str], format=None):
"""..... | stack_v2_sparse_classes_36k_train_018809 | 2,534 | permissive | [
{
"docstring": "...",
"name": "get_object",
"signature": "def get_object(self, pk_category: Union[int, str])"
},
{
"docstring": "...",
"name": "get",
"signature": "def get(self, request, pk: Union[int, str], format=None)"
},
{
"docstring": "...",
"name": "put",
"signature... | 4 | stack_v2_sparse_classes_30k_train_021622 | Implement the Python class `VCategoryDetail` described below.
Class description:
...
Method signatures and docstrings:
- def get_object(self, pk_category: Union[int, str]): ...
- def get(self, request, pk: Union[int, str], format=None): ...
- def put(self, request, pk: Union[int, str], format=None): ...
- def delete(... | Implement the Python class `VCategoryDetail` described below.
Class description:
...
Method signatures and docstrings:
- def get_object(self, pk_category: Union[int, str]): ...
- def get(self, request, pk: Union[int, str], format=None): ...
- def put(self, request, pk: Union[int, str], format=None): ...
- def delete(... | 660664ba2321499e92c3c5c23719756db2569e90 | <|skeleton|>
class VCategoryDetail:
"""..."""
def get_object(self, pk_category: Union[int, str]):
"""..."""
<|body_0|>
def get(self, request, pk: Union[int, str], format=None):
"""..."""
<|body_1|>
def put(self, request, pk: Union[int, str], format=None):
"""..... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VCategoryDetail:
"""..."""
def get_object(self, pk_category: Union[int, str]):
"""..."""
try:
return Category.objects.get(pk=pk_category)
except Category.DoesNotExist:
raise Http404
def get(self, request, pk: Union[int, str], format=None):
""".... | the_stack_v2_python_sparse | apps/category/views/vcategory.py | magocod/djrepo | train | 1 |
f17bc693587f8cf15c9c808117c8599155ca5f19 | [
"self.dtype = torch.float16 if fp16 else torch.float32\nself.device = device\nself.use_keys = use_keys\nself.ignore_keys = ignore_keys",
"valid_keys = _get_valid_keys(inputs.keys(), self.use_keys, self.ignore_keys)\nfor k in valid_keys:\n v = inputs[k]\n if isinstance(v, list) or isinstance(v, tuple):\n ... | <|body_start_0|>
self.dtype = torch.float16 if fp16 else torch.float32
self.device = device
self.use_keys = use_keys
self.ignore_keys = ignore_keys
<|end_body_0|>
<|body_start_1|>
valid_keys = _get_valid_keys(inputs.keys(), self.use_keys, self.ignore_keys)
for k in valid... | Converts a 4D numpy.ndarray or a list of 3D numpy.ndarrays into a 4D torch.Tensor. If an input is of type uint8, then it is converted to float and its values are divided by 255. | ToTensor | [
"Apache-2.0",
"CC-BY-NC-SA-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ToTensor:
"""Converts a 4D numpy.ndarray or a list of 3D numpy.ndarrays into a 4D torch.Tensor. If an input is of type uint8, then it is converted to float and its values are divided by 255."""
def __init__(self, fp16: bool=False, device: Union[str, torch.device]='cpu', use_keys: Optional[Un... | stack_v2_sparse_classes_36k_train_018810 | 42,078 | permissive | [
{
"docstring": "Initialize ToTensor. Parameters ---------- fp16 : bool, default False If True, the tensors use have-precision floating point. device : Union[str, torch.device], default 'cpu' Name of the torch device where the tensors will be put in. use_keys : Optional[Union[KeysView, Sequence[str]]], optional ... | 2 | stack_v2_sparse_classes_30k_train_007363 | Implement the Python class `ToTensor` described below.
Class description:
Converts a 4D numpy.ndarray or a list of 3D numpy.ndarrays into a 4D torch.Tensor. If an input is of type uint8, then it is converted to float and its values are divided by 255.
Method signatures and docstrings:
- def __init__(self, fp16: bool=... | Implement the Python class `ToTensor` described below.
Class description:
Converts a 4D numpy.ndarray or a list of 3D numpy.ndarrays into a 4D torch.Tensor. If an input is of type uint8, then it is converted to float and its values are divided by 255.
Method signatures and docstrings:
- def __init__(self, fp16: bool=... | d6582a0fd386517fdefbe2c347cef53150b5b1da | <|skeleton|>
class ToTensor:
"""Converts a 4D numpy.ndarray or a list of 3D numpy.ndarrays into a 4D torch.Tensor. If an input is of type uint8, then it is converted to float and its values are divided by 255."""
def __init__(self, fp16: bool=False, device: Union[str, torch.device]='cpu', use_keys: Optional[Un... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ToTensor:
"""Converts a 4D numpy.ndarray or a list of 3D numpy.ndarrays into a 4D torch.Tensor. If an input is of type uint8, then it is converted to float and its values are divided by 255."""
def __init__(self, fp16: bool=False, device: Union[str, torch.device]='cpu', use_keys: Optional[Union[KeysView,... | the_stack_v2_python_sparse | ptlflow/data/flow_transforms.py | hmorimitsu/ptlflow | train | 140 |
a535b5415b2cb102dafd44a4135a7e282ea15348 | [
"self.n_nodes: int = len(log_psis1)\nself.node_potentials: List[np.ndarray] = log_psis1\nself.edge_potentials: List[np.ndarray] = log_psis2\nself._forward_computed: bool = False\nself._backward_computed: bool = False\nself.forward_messages: List[np.ndarray] = [np.zeros(self.node_potentials[k + 1].shape) for k in ra... | <|body_start_0|>
self.n_nodes: int = len(log_psis1)
self.node_potentials: List[np.ndarray] = log_psis1
self.edge_potentials: List[np.ndarray] = log_psis2
self._forward_computed: bool = False
self._backward_computed: bool = False
self.forward_messages: List[np.ndarray] = [... | Class representing the graphical model of an undirected chain. Denoting by :math:`\\phi` the potentials, the joint probability of the nodes :math:`x_1, \\dots, x_n` is given by: .. math:: p(x) = \\frac1Z \\prod_{i=1}^n \\phi_i(x_i) \\prod_{i=1}^{n-1} \\phi_{i, i+1}(x_i, x_{i+1}) Everything is represented on the log-sca... | UndirectedChain | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UndirectedChain:
"""Class representing the graphical model of an undirected chain. Denoting by :math:`\\phi` the potentials, the joint probability of the nodes :math:`x_1, \\dots, x_n` is given by: .. math:: p(x) = \\frac1Z \\prod_{i=1}^n \\phi_i(x_i) \\prod_{i=1}^{n-1} \\phi_{i, i+1}(x_i, x_{i+1... | stack_v2_sparse_classes_36k_train_018811 | 9,693 | no_license | [
{
"docstring": "Initialization of the undirected chain. Parameters ---------- log_psis1: list of arrays, len self.n_nodes The 1D-array indexed by i corresponds to the potential (function) of the node i. The arrays can have different sizes (that is why a list is used). log_psis2: list of arrays, len self.n_nodes... | 4 | stack_v2_sparse_classes_30k_train_014739 | Implement the Python class `UndirectedChain` described below.
Class description:
Class representing the graphical model of an undirected chain. Denoting by :math:`\\phi` the potentials, the joint probability of the nodes :math:`x_1, \\dots, x_n` is given by: .. math:: p(x) = \\frac1Z \\prod_{i=1}^n \\phi_i(x_i) \\prod... | Implement the Python class `UndirectedChain` described below.
Class description:
Class representing the graphical model of an undirected chain. Denoting by :math:`\\phi` the potentials, the joint probability of the nodes :math:`x_1, \\dots, x_n` is given by: .. math:: p(x) = \\frac1Z \\prod_{i=1}^n \\phi_i(x_i) \\prod... | be41088f3036fb1eaef6b41ccc6be30b11d99a08 | <|skeleton|>
class UndirectedChain:
"""Class representing the graphical model of an undirected chain. Denoting by :math:`\\phi` the potentials, the joint probability of the nodes :math:`x_1, \\dots, x_n` is given by: .. math:: p(x) = \\frac1Z \\prod_{i=1}^n \\phi_i(x_i) \\prod_{i=1}^{n-1} \\phi_{i, i+1}(x_i, x_{i+1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UndirectedChain:
"""Class representing the graphical model of an undirected chain. Denoting by :math:`\\phi` the potentials, the joint probability of the nodes :math:`x_1, \\dots, x_n` is given by: .. math:: p(x) = \\frac1Z \\prod_{i=1}^n \\phi_i(x_i) \\prod_{i=1}^{n-1} \\phi_{i, i+1}(x_i, x_{i+1}) Everything... | the_stack_v2_python_sparse | probabilistic_graphical_models/HW2/src_ex2/undirected_chain.py | antoine-moulin/MVA | train | 18 |
638672242061fa593c2f91ef81d24c19e27122e1 | [
"if data['image_id'] < 0:\n raise ValidationError('Image id is incorrect.')\nreturn data['image_id']",
"if data['organism_id'] < 0:\n raise ValidationError('Organism id is incorrect.')\nreturn data['organism_id']"
] | <|body_start_0|>
if data['image_id'] < 0:
raise ValidationError('Image id is incorrect.')
return data['image_id']
<|end_body_0|>
<|body_start_1|>
if data['organism_id'] < 0:
raise ValidationError('Organism id is incorrect.')
return data['organism_id']
<|end_body_... | FormCleaningUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FormCleaningUtil:
def clean_image_id(data):
"""Cleans an image id ensuring that it is a positive integer."""
<|body_0|>
def clean_organism_id(data):
"""Cleans an organism id ensuring that it is a positive integer."""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_36k_train_018812 | 6,553 | no_license | [
{
"docstring": "Cleans an image id ensuring that it is a positive integer.",
"name": "clean_image_id",
"signature": "def clean_image_id(data)"
},
{
"docstring": "Cleans an organism id ensuring that it is a positive integer.",
"name": "clean_organism_id",
"signature": "def clean_organism_... | 2 | stack_v2_sparse_classes_30k_train_019215 | Implement the Python class `FormCleaningUtil` described below.
Class description:
Implement the FormCleaningUtil class.
Method signatures and docstrings:
- def clean_image_id(data): Cleans an image id ensuring that it is a positive integer.
- def clean_organism_id(data): Cleans an organism id ensuring that it is a po... | Implement the Python class `FormCleaningUtil` described below.
Class description:
Implement the FormCleaningUtil class.
Method signatures and docstrings:
- def clean_image_id(data): Cleans an image id ensuring that it is a positive integer.
- def clean_organism_id(data): Cleans an organism id ensuring that it is a po... | 22c1ce3c5a8e4ed99c2f014672d60ad3c5a4003c | <|skeleton|>
class FormCleaningUtil:
def clean_image_id(data):
"""Cleans an image id ensuring that it is a positive integer."""
<|body_0|>
def clean_organism_id(data):
"""Cleans an organism id ensuring that it is a positive integer."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FormCleaningUtil:
def clean_image_id(data):
"""Cleans an image id ensuring that it is a positive integer."""
if data['image_id'] < 0:
raise ValidationError('Image id is incorrect.')
return data['image_id']
def clean_organism_id(data):
"""Cleans an organism id e... | the_stack_v2_python_sparse | biodig/rest/v2/ImageOrganisms/forms.py | asmariyaz23/BioDIG | train | 0 | |
0719130cb571652b3662ee832271f8b78446c72a | [
"extents = self.get_dim_extents()\nendx = extents['x_max']\nstartx = extents['x_min']\nself.x_range = self._get_range('x', startx, endx)\nendy = extents['y_max']\nstarty = extents['y_min']\nself.y_range = self._get_range('y', starty, endy)\nif self.xlabel is None:\n if self.x.selection is not None:\n sele... | <|body_start_0|>
extents = self.get_dim_extents()
endx = extents['x_max']
startx = extents['x_min']
self.x_range = self._get_range('x', startx, endx)
endy = extents['y_max']
starty = extents['y_min']
self.y_range = self._get_range('y', starty, endy)
if sel... | Implements common functionality for XY Builders. | XYBuilder | [
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XYBuilder:
"""Implements common functionality for XY Builders."""
def set_ranges(self):
"""Calculate and set the x and y ranges."""
<|body_0|>
def _get_range(self, dim, start, end):
"""Create a :class:`Range` for the :class:`Chart`. Args: dim (str): the name of t... | stack_v2_sparse_classes_36k_train_018813 | 24,703 | permissive | [
{
"docstring": "Calculate and set the x and y ranges.",
"name": "set_ranges",
"signature": "def set_ranges(self)"
},
{
"docstring": "Create a :class:`Range` for the :class:`Chart`. Args: dim (str): the name of the dimension, which is an attribute of the builder start: the starting value of the r... | 2 | null | Implement the Python class `XYBuilder` described below.
Class description:
Implements common functionality for XY Builders.
Method signatures and docstrings:
- def set_ranges(self): Calculate and set the x and y ranges.
- def _get_range(self, dim, start, end): Create a :class:`Range` for the :class:`Chart`. Args: dim... | Implement the Python class `XYBuilder` described below.
Class description:
Implements common functionality for XY Builders.
Method signatures and docstrings:
- def set_ranges(self): Calculate and set the x and y ranges.
- def _get_range(self, dim, start, end): Create a :class:`Range` for the :class:`Chart`. Args: dim... | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | <|skeleton|>
class XYBuilder:
"""Implements common functionality for XY Builders."""
def set_ranges(self):
"""Calculate and set the x and y ranges."""
<|body_0|>
def _get_range(self, dim, start, end):
"""Create a :class:`Range` for the :class:`Chart`. Args: dim (str): the name of t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class XYBuilder:
"""Implements common functionality for XY Builders."""
def set_ranges(self):
"""Calculate and set the x and y ranges."""
extents = self.get_dim_extents()
endx = extents['x_max']
startx = extents['x_min']
self.x_range = self._get_range('x', startx, endx)
... | the_stack_v2_python_sparse | pkgs/bokeh-0.11.1-py27_0/lib/python2.7/site-packages/bokeh/charts/builder.py | wangyum/Anaconda | train | 11 |
e3f75c7a3d881532bc8782e711f8a63f66ee200f | [
"size = len(nums)\nif not size:\n self.cum = []\n return\nself.cum = [0 for i in xrange(size)]\nself.cum[0] = nums[0]\nfor i in xrange(1, size):\n self.cum[i] = self.cum[i - 1] + nums[i]\nreturn",
"if i < 0 or i >= len(self.cum) or j < 0 or (j >= len(self.cum)) or (i > j):\n return\nif i == 0:\n re... | <|body_start_0|>
size = len(nums)
if not size:
self.cum = []
return
self.cum = [0 for i in xrange(size)]
self.cum[0] = nums[0]
for i in xrange(1, size):
self.cum[i] = self.cum[i - 1] + nums[i]
return
<|end_body_0|>
<|body_start_1|>
... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
size = len(nums)
if not size:
self.cum ... | stack_v2_sparse_classes_36k_train_018814 | 891 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | null | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | 6582b0f138a19f9d4a005eda298ecb1488eb0d2e | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
size = len(nums)
if not size:
self.cum = []
return
self.cum = [0 for i in xrange(size)]
self.cum[0] = nums[0]
for i in xrange(1, size):
self.cum[i] = self.cum[i -... | the_stack_v2_python_sparse | Array/303.py | ShangruZhong/leetcode | train | 0 | |
58a562ca3a21a8f19249454712500186291077b3 | [
"try:\n if len(repeats) != len(sizes):\n raise ValueError('`repeats` must be parallel to `sizes`.')\n if not sizes:\n raise ValueError('`sizes` and `repeats` must not be empty.')\n if any([repeat <= 0 for repeat in repeats]):\n raise ValueError('All repeat values must be strictly posit... | <|body_start_0|>
try:
if len(repeats) != len(sizes):
raise ValueError('`repeats` must be parallel to `sizes`.')
if not sizes:
raise ValueError('`sizes` and `repeats` must not be empty.')
if any([repeat <= 0 for repeat in repeats]):
... | An increasing list of steps where the regularisation network is updated. Example EntropySchedule([3, 5, 10], [2, 4, 1]) => [0, 3, 6, 11, 16, 21, 26, 10] | 3 x2 | 5 x4 | 10 x1 | EntropySchedule | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EntropySchedule:
"""An increasing list of steps where the regularisation network is updated. Example EntropySchedule([3, 5, 10], [2, 4, 1]) => [0, 3, 6, 11, 16, 21, 26, 10] | 3 x2 | 5 x4 | 10 x1"""
def __init__(self, *, sizes: Sequence[int], repeats: Sequence[int]):
"""Constructs a s... | stack_v2_sparse_classes_36k_train_018815 | 40,121 | permissive | [
{
"docstring": "Constructs a schedule of entropy iterations. Args: sizes: the list of iteration sizes. repeats: the list, parallel to sizes, with the number of times for each size from `sizes` to repeat.",
"name": "__init__",
"signature": "def __init__(self, *, sizes: Sequence[int], repeats: Sequence[in... | 2 | null | Implement the Python class `EntropySchedule` described below.
Class description:
An increasing list of steps where the regularisation network is updated. Example EntropySchedule([3, 5, 10], [2, 4, 1]) => [0, 3, 6, 11, 16, 21, 26, 10] | 3 x2 | 5 x4 | 10 x1
Method signatures and docstrings:
- def __init__(self, *, size... | Implement the Python class `EntropySchedule` described below.
Class description:
An increasing list of steps where the regularisation network is updated. Example EntropySchedule([3, 5, 10], [2, 4, 1]) => [0, 3, 6, 11, 16, 21, 26, 10] | 3 x2 | 5 x4 | 10 x1
Method signatures and docstrings:
- def __init__(self, *, size... | ee149736f7d85e16c119a463eee338c6d4c2ceb0 | <|skeleton|>
class EntropySchedule:
"""An increasing list of steps where the regularisation network is updated. Example EntropySchedule([3, 5, 10], [2, 4, 1]) => [0, 3, 6, 11, 16, 21, 26, 10] | 3 x2 | 5 x4 | 10 x1"""
def __init__(self, *, sizes: Sequence[int], repeats: Sequence[int]):
"""Constructs a s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EntropySchedule:
"""An increasing list of steps where the regularisation network is updated. Example EntropySchedule([3, 5, 10], [2, 4, 1]) => [0, 3, 6, 11, 16, 21, 26, 10] | 3 x2 | 5 x4 | 10 x1"""
def __init__(self, *, sizes: Sequence[int], repeats: Sequence[int]):
"""Constructs a schedule of en... | the_stack_v2_python_sparse | open_spiel/python/algorithms/rnad/rnad.py | lanctot/open_spiel | train | 1 |
1bf0320d40cd541a5258e1e34a6ac5af17dd792c | [
"if isinstance(node, list):\n for item in node:\n self.visit(item)\nelif isinstance(node, AST):\n method = 'visit_' + node.__class__.__name__\n visitor = getattr(self, method, self.generic_visit)\n visitor(node)",
"for field in getattr(node, '_fields'):\n value = getattr(node, field, None)\n... | <|body_start_0|>
if isinstance(node, list):
for item in node:
self.visit(item)
elif isinstance(node, AST):
method = 'visit_' + node.__class__.__name__
visitor = getattr(self, method, self.generic_visit)
visitor(node)
<|end_body_0|>
<|body_... | Class for visiting nodes of the parse tree. This is modeled after a similar class in the standard library ast.NodeVisitor. For each node, the visit(node) method calls a method visit_NodeName(node) which should be implemented in subclasses. The generic_visit() method is called for all nodes where there is no matching vi... | NodeVisitor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NodeVisitor:
"""Class for visiting nodes of the parse tree. This is modeled after a similar class in the standard library ast.NodeVisitor. For each node, the visit(node) method calls a method visit_NodeName(node) which should be implemented in subclasses. The generic_visit() method is called for ... | stack_v2_sparse_classes_36k_train_018816 | 7,611 | no_license | [
{
"docstring": "Execute a method of the form visit_NodeName(node) where NodeName is the name of the class of a particular node.",
"name": "visit",
"signature": "def visit(self, node)"
},
{
"docstring": "Method executed if no applicable visit_ method can be found. This examines the node to see if... | 3 | null | Implement the Python class `NodeVisitor` described below.
Class description:
Class for visiting nodes of the parse tree. This is modeled after a similar class in the standard library ast.NodeVisitor. For each node, the visit(node) method calls a method visit_NodeName(node) which should be implemented in subclasses. Th... | Implement the Python class `NodeVisitor` described below.
Class description:
Class for visiting nodes of the parse tree. This is modeled after a similar class in the standard library ast.NodeVisitor. For each node, the visit(node) method calls a method visit_NodeName(node) which should be implemented in subclasses. Th... | cab2b2563b81036cf39a530fb3d7d5e756478beb | <|skeleton|>
class NodeVisitor:
"""Class for visiting nodes of the parse tree. This is modeled after a similar class in the standard library ast.NodeVisitor. For each node, the visit(node) method calls a method visit_NodeName(node) which should be implemented in subclasses. The generic_visit() method is called for ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NodeVisitor:
"""Class for visiting nodes of the parse tree. This is modeled after a similar class in the standard library ast.NodeVisitor. For each node, the visit(node) method calls a method visit_NodeName(node) which should be implemented in subclasses. The generic_visit() method is called for all nodes whe... | the_stack_v2_python_sparse | compilers/goner/full/ast.py | CamDavidsonPilon/compilers | train | 5 |
8c23ee5f2aa17d58a409f5b7a4827162405bcb6f | [
"super(ResidualBlock, self).__init__(name=name, **kwargs)\nif normalization_layer is None:\n normalization_layer = tf.keras.layers.LayerNormalization(axis=-1, epsilon=1e-12, name='layer_norm')\nif isinstance(normalization_layer, Sequence):\n normalization_layers = normalization_layer\nelse:\n normalization... | <|body_start_0|>
super(ResidualBlock, self).__init__(name=name, **kwargs)
if normalization_layer is None:
normalization_layer = tf.keras.layers.LayerNormalization(axis=-1, epsilon=1e-12, name='layer_norm')
if isinstance(normalization_layer, Sequence):
normalization_layers... | Residual network block. This is a flexible residual block wrapper around a user-provided `inner_layer`, which is just a fully-connected 2-layer network by default. Normalization and dropout are applied in the following order by default (as used by the original Transformer layers in https://arxiv.org/abs/1706.03762): ou... | ResidualBlock | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResidualBlock:
"""Residual network block. This is a flexible residual block wrapper around a user-provided `inner_layer`, which is just a fully-connected 2-layer network by default. Normalization and dropout are applied in the following order by default (as used by the original Transformer layers... | stack_v2_sparse_classes_36k_train_018817 | 7,661 | permissive | [
{
"docstring": "Init. Args: inner_layer: Keras layer to apply as the inner layer in the residual block. The output of the layer must have the same shape as the input. By default, a 2-layer fully-connected network (via `DenseLayers`) is created based on the `inner_...` arguments below. normalization_layer: Norma... | 3 | null | Implement the Python class `ResidualBlock` described below.
Class description:
Residual network block. This is a flexible residual block wrapper around a user-provided `inner_layer`, which is just a fully-connected 2-layer network by default. Normalization and dropout are applied in the following order by default (as ... | Implement the Python class `ResidualBlock` described below.
Class description:
Residual network block. This is a flexible residual block wrapper around a user-provided `inner_layer`, which is just a fully-connected 2-layer network by default. Normalization and dropout are applied in the following order by default (as ... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class ResidualBlock:
"""Residual network block. This is a flexible residual block wrapper around a user-provided `inner_layer`, which is just a fully-connected 2-layer network by default. Normalization and dropout are applied in the following order by default (as used by the original Transformer layers... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResidualBlock:
"""Residual network block. This is a flexible residual block wrapper around a user-provided `inner_layer`, which is just a fully-connected 2-layer network by default. Normalization and dropout are applied in the following order by default (as used by the original Transformer layers in https://a... | the_stack_v2_python_sparse | etcmodel/layers/wrappers.py | Jimmy-INL/google-research | train | 1 |
c3bbba0867dbe181f55212ee9f2964073c43fcf2 | [
"slowPointer = head\nfastPointer = head\nwhile slowPointer != None and fastPointer != None:\n slowPointer = slowPointer.next\n if fastPointer.next != None and fastPointer.next.next != None:\n fastPointer = fastPointer.next.next\n else:\n return False\n if slowPointer == fastPointer:\n ... | <|body_start_0|>
slowPointer = head
fastPointer = head
while slowPointer != None and fastPointer != None:
slowPointer = slowPointer.next
if fastPointer.next != None and fastPointer.next.next != None:
fastPointer = fastPointer.next.next
else:
... | Two pointer AC | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Two pointer AC"""
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def hasCycleV1(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
slowPointer = head
... | stack_v2_sparse_classes_36k_train_018818 | 2,561 | no_license | [
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "hasCycle",
"signature": "def hasCycle(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "hasCycleV1",
"signature": "def hasCycleV1(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001406 | Implement the Python class `Solution` described below.
Class description:
Two pointer AC
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool
- def hasCycleV1(self, head): :type head: ListNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Two pointer AC
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool
- def hasCycleV1(self, head): :type head: ListNode :rtype: bool
<|skeleton|>
class Solution:
"""Two pointer AC"""
def hasCy... | 2e146808b2d3259965d9aa671f2956b130d43a7e | <|skeleton|>
class Solution:
"""Two pointer AC"""
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def hasCycleV1(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""Two pointer AC"""
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
slowPointer = head
fastPointer = head
while slowPointer != None and fastPointer != None:
slowPointer = slowPointer.next
if fastPointer.next != None and ... | the_stack_v2_python_sparse | easy/141_linkedListCycle.py | grapefruit623/leetcode | train | 0 |
1e9cd7834cc161411638219dec8a3bbb8fab9953 | [
"pos_markers = []\npix_markers = []\nfor box in boxes:\n (pt1_w, pt1_h), (pt2_w, pt2_h) = box\n pix_marker = ((pt1_w + pt2_w) // 2, max(pt1_h, pt2_h))\n pix_markers.append(pix_marker)\n pos_marker = np.array(pix_marker).reshape(1, 1, 2).astype('float32')\n pos_marker = cv2.perspectiveTransform(pos_ma... | <|body_start_0|>
pos_markers = []
pix_markers = []
for box in boxes:
(pt1_w, pt1_h), (pt2_w, pt2_h) = box
pix_marker = ((pt1_w + pt2_w) // 2, max(pt1_h, pt2_h))
pix_markers.append(pix_marker)
pos_marker = np.array(pix_marker).reshape(1, 1, 2).astyp... | A mixin to calculate distances between detected boxes/pedastrians | SocialDistancingMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SocialDistancingMixin:
"""A mixin to calculate distances between detected boxes/pedastrians"""
def _calculate_distances(boxes, homography):
"""Calculate a reference marker for each box and calculate bird eye distances between boxes Args: boxes (list): A list of boxes defined as a tup... | stack_v2_sparse_classes_36k_train_018819 | 9,664 | permissive | [
{
"docstring": "Calculate a reference marker for each box and calculate bird eye distances between boxes Args: boxes (list): A list of boxes defined as a tuple of 2D points. homography (np.array): A 3x3 numpy array. Returns: pix_markers (list): A list of marker coordinates defined as tuples, distances (np.array... | 5 | stack_v2_sparse_classes_30k_train_014151 | Implement the Python class `SocialDistancingMixin` described below.
Class description:
A mixin to calculate distances between detected boxes/pedastrians
Method signatures and docstrings:
- def _calculate_distances(boxes, homography): Calculate a reference marker for each box and calculate bird eye distances between b... | Implement the Python class `SocialDistancingMixin` described below.
Class description:
A mixin to calculate distances between detected boxes/pedastrians
Method signatures and docstrings:
- def _calculate_distances(boxes, homography): Calculate a reference marker for each box and calculate bird eye distances between b... | 2e29ab2d3deb81fd999b74a2f6844c54a836c6d8 | <|skeleton|>
class SocialDistancingMixin:
"""A mixin to calculate distances between detected boxes/pedastrians"""
def _calculate_distances(boxes, homography):
"""Calculate a reference marker for each box and calculate bird eye distances between boxes Args: boxes (list): A list of boxes defined as a tup... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SocialDistancingMixin:
"""A mixin to calculate distances between detected boxes/pedastrians"""
def _calculate_distances(boxes, homography):
"""Calculate a reference marker for each box and calculate bird eye distances between boxes Args: boxes (list): A list of boxes defined as a tuple of 2D poin... | the_stack_v2_python_sparse | service/mixins.py | ai404/esafe-platform | train | 0 |
2e808586873dc7f567fb12d1b9e04ccf1368ea80 | [
"elements = self.driver.find_elements(*AdminPageLocators.CATALOG)\nfor element in elements:\n if element.text == 'Catalog':\n catalog = element\n break\ncatalog.click()",
"catalog_elements = self.driver.find_elements(*AdminPageLocators.CATALOG_ELEMENTS)\nfor catalog_element in catalog_elements:\n... | <|body_start_0|>
elements = self.driver.find_elements(*AdminPageLocators.CATALOG)
for element in elements:
if element.text == 'Catalog':
catalog = element
break
catalog.click()
<|end_body_0|>
<|body_start_1|>
catalog_elements = self.driver.fin... | Admin page class | AdminPage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdminPage:
"""Admin page class"""
def choose_catalog(self):
"""public method to choose catalog in menu"""
<|body_0|>
def choose_catalog_element(self, element_name):
"""public method to choose catalog element"""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_36k_train_018820 | 5,320 | permissive | [
{
"docstring": "public method to choose catalog in menu",
"name": "choose_catalog",
"signature": "def choose_catalog(self)"
},
{
"docstring": "public method to choose catalog element",
"name": "choose_catalog_element",
"signature": "def choose_catalog_element(self, element_name)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001955 | Implement the Python class `AdminPage` described below.
Class description:
Admin page class
Method signatures and docstrings:
- def choose_catalog(self): public method to choose catalog in menu
- def choose_catalog_element(self, element_name): public method to choose catalog element | Implement the Python class `AdminPage` described below.
Class description:
Admin page class
Method signatures and docstrings:
- def choose_catalog(self): public method to choose catalog in menu
- def choose_catalog_element(self, element_name): public method to choose catalog element
<|skeleton|>
class AdminPage:
... | 9d7e31317857801735bad8c05e2c15757dab0ab1 | <|skeleton|>
class AdminPage:
"""Admin page class"""
def choose_catalog(self):
"""public method to choose catalog in menu"""
<|body_0|>
def choose_catalog_element(self, element_name):
"""public method to choose catalog element"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdminPage:
"""Admin page class"""
def choose_catalog(self):
"""public method to choose catalog in menu"""
elements = self.driver.find_elements(*AdminPageLocators.CATALOG)
for element in elements:
if element.text == 'Catalog':
catalog = element
... | the_stack_v2_python_sparse | lesson_8/pages.py | Sokolov85/otus-qa-course | train | 0 |
1e0c11b8eb1a88a38c075905e824f20a2398871f | [
"FigureCanvasAgg.draw(self)\nself.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)\nself._isDrawn = True\nself.gui_repaint(drawDC=drawDC, origin='WXAgg')",
"if bbox is None:\n self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)\n self.gui_repaint()\n return\nl, b, w, h = bbox.... | <|body_start_0|>
FigureCanvasAgg.draw(self)
self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
self._isDrawn = True
self.gui_repaint(drawDC=drawDC, origin='WXAgg')
<|end_body_0|>
<|body_start_1|>
if bbox is None:
self.bitmap = _convert_agg_to_wx_bitma... | The FigureCanvas contains the figure and does event handling. In the wxPython backend, it is derived from wxPanel, and (usually) lives inside a frame instantiated by a FigureManagerWx. The parent window probably implements a wxSizer to control the displayed control size - but we give a hint as to our preferred minimum ... | FigureCanvasWxAgg | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FigureCanvasWxAgg:
"""The FigureCanvas contains the figure and does event handling. In the wxPython backend, it is derived from wxPanel, and (usually) lives inside a frame instantiated by a FigureManagerWx. The parent window probably implements a wxSizer to control the displayed control size - bu... | stack_v2_sparse_classes_36k_train_018821 | 4,326 | permissive | [
{
"docstring": "Render the figure using agg.",
"name": "draw",
"signature": "def draw(self, drawDC=None)"
},
{
"docstring": "Transfer the region of the agg buffer defined by bbox to the display. If bbox is None, the entire buffer is transferred.",
"name": "blit",
"signature": "def blit(s... | 2 | null | Implement the Python class `FigureCanvasWxAgg` described below.
Class description:
The FigureCanvas contains the figure and does event handling. In the wxPython backend, it is derived from wxPanel, and (usually) lives inside a frame instantiated by a FigureManagerWx. The parent window probably implements a wxSizer to ... | Implement the Python class `FigureCanvasWxAgg` described below.
Class description:
The FigureCanvas contains the figure and does event handling. In the wxPython backend, it is derived from wxPanel, and (usually) lives inside a frame instantiated by a FigureManagerWx. The parent window probably implements a wxSizer to ... | f5042e35b945aded77b23470ead62d7eacefde92 | <|skeleton|>
class FigureCanvasWxAgg:
"""The FigureCanvas contains the figure and does event handling. In the wxPython backend, it is derived from wxPanel, and (usually) lives inside a frame instantiated by a FigureManagerWx. The parent window probably implements a wxSizer to control the displayed control size - bu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FigureCanvasWxAgg:
"""The FigureCanvas contains the figure and does event handling. In the wxPython backend, it is derived from wxPanel, and (usually) lives inside a frame instantiated by a FigureManagerWx. The parent window probably implements a wxSizer to control the displayed control size - but we give a h... | the_stack_v2_python_sparse | contrib/python/matplotlib/py2/matplotlib/backends/backend_wxagg.py | catboost/catboost | train | 8,012 |
a6fe4fceaeacd915c9e40ab1af13fc6f0518e332 | [
"super(LineCtrl, self).__init__(parent, id_, u'', size=size, style=wx.TE_PROCESS_ENTER, validator=util.IntValidator(0, 65535))\nself._last = 0\nself.GetDoc = get_doc",
"val = self.GetValue()\nif not val.isdigit():\n return\nval = int(val) - 1\ndoc = self.GetDoc()\nlines = doc.GetLineCount()\nif val > lines:\n ... | <|body_start_0|>
super(LineCtrl, self).__init__(parent, id_, u'', size=size, style=wx.TE_PROCESS_ENTER, validator=util.IntValidator(0, 65535))
self._last = 0
self.GetDoc = get_doc
<|end_body_0|>
<|body_start_1|>
val = self.GetValue()
if not val.isdigit():
return
... | A custom int control for providing a go To line control for the Command Bar. | LineCtrl | [
"BSD-3-Clause",
"LicenseRef-scancode-python-cwi",
"GPL-1.0-or-later",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-free-unknown",
"Python-2.0",
"LGPL-2.0-or-later",
"WxWindows-exception-3.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LineCtrl:
"""A custom int control for providing a go To line control for the Command Bar."""
def __init__(self, parent, id_, get_doc, size=wx.DefaultSize):
"""Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: call... | stack_v2_sparse_classes_36k_train_018822 | 44,291 | permissive | [
{
"docstring": "Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: callback method for retrieving a reference to the current document. @keyword size: Control Size (tuple)",
"name": "__init__",
"signature": "def __init__(self, parent, ... | 3 | stack_v2_sparse_classes_30k_train_008600 | Implement the Python class `LineCtrl` described below.
Class description:
A custom int control for providing a go To line control for the Command Bar.
Method signatures and docstrings:
- def __init__(self, parent, id_, get_doc, size=wx.DefaultSize): Initializes the LineCtrl control and its attributes. @param parent: ... | Implement the Python class `LineCtrl` described below.
Class description:
A custom int control for providing a go To line control for the Command Bar.
Method signatures and docstrings:
- def __init__(self, parent, id_, get_doc, size=wx.DefaultSize): Initializes the LineCtrl control and its attributes. @param parent: ... | 77d66c719b5746f37af51ad593e2941ed6fbba17 | <|skeleton|>
class LineCtrl:
"""A custom int control for providing a go To line control for the Command Bar."""
def __init__(self, parent, id_, get_doc, size=wx.DefaultSize):
"""Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: call... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LineCtrl:
"""A custom int control for providing a go To line control for the Command Bar."""
def __init__(self, parent, id_, get_doc, size=wx.DefaultSize):
"""Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: callback method f... | the_stack_v2_python_sparse | base/lib/python2.7/site-packages/wx-3.0-gtk2/wx/tools/Editra/src/ed_cmdbar.py | jorgediazjr/dials-dev20191018 | train | 0 |
948f2ded80f4282bfba8f48950cb3c7b6a5f623f | [
"grid_indexing = stencil_factory.grid_indexing\nself._n_halo = grid_indexing.n_halo\nself._dx = grid_data.dx\nself._dy = grid_data.dy\nself._a11 = grid_data.a11\nself._a12 = grid_data.a12\nself._a21 = grid_data.a21\nself._a22 = grid_data.a22\nif order == 2:\n self._do_ord4 = False\n halos = (1, 1)\n func =... | <|body_start_0|>
grid_indexing = stencil_factory.grid_indexing
self._n_halo = grid_indexing.n_halo
self._dx = grid_data.dx
self._dy = grid_data.dy
self._a11 = grid_data.a11
self._a12 = grid_data.a12
self._a21 = grid_data.a21
self._a22 = grid_data.a22
... | Fortan name is c2l_ord2 | CubedToLatLon | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CubedToLatLon:
"""Fortan name is c2l_ord2"""
def __init__(self, state: fv3core.DycoreState, stencil_factory: StencilFactory, quantity_factory: pace.util.QuantityFactory, grid_data: GridData, order: int, comm: pace.util.CubedSphereCommunicator):
"""Initializes stencils to use either 2... | stack_v2_sparse_classes_36k_train_018823 | 5,666 | permissive | [
{
"docstring": "Initializes stencils to use either 2nd or 4th order of interpolation based on namelist setting Args: stencil_factory: creates stencils grid_data: object with metric terms order: Order of interpolation, must be 2 or 4",
"name": "__init__",
"signature": "def __init__(self, state: fv3core.D... | 2 | stack_v2_sparse_classes_30k_train_007384 | Implement the Python class `CubedToLatLon` described below.
Class description:
Fortan name is c2l_ord2
Method signatures and docstrings:
- def __init__(self, state: fv3core.DycoreState, stencil_factory: StencilFactory, quantity_factory: pace.util.QuantityFactory, grid_data: GridData, order: int, comm: pace.util.Cubed... | Implement the Python class `CubedToLatLon` described below.
Class description:
Fortan name is c2l_ord2
Method signatures and docstrings:
- def __init__(self, state: fv3core.DycoreState, stencil_factory: StencilFactory, quantity_factory: pace.util.QuantityFactory, grid_data: GridData, order: int, comm: pace.util.Cubed... | c543e8ec478d46d88b48cdd3beaaa1717a95b935 | <|skeleton|>
class CubedToLatLon:
"""Fortan name is c2l_ord2"""
def __init__(self, state: fv3core.DycoreState, stencil_factory: StencilFactory, quantity_factory: pace.util.QuantityFactory, grid_data: GridData, order: int, comm: pace.util.CubedSphereCommunicator):
"""Initializes stencils to use either 2... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CubedToLatLon:
"""Fortan name is c2l_ord2"""
def __init__(self, state: fv3core.DycoreState, stencil_factory: StencilFactory, quantity_factory: pace.util.QuantityFactory, grid_data: GridData, order: int, comm: pace.util.CubedSphereCommunicator):
"""Initializes stencils to use either 2nd or 4th ord... | the_stack_v2_python_sparse | stencils/pace/stencils/c2l_ord.py | ai2cm/pace | train | 27 |
1df7481f58ae419b55022d098ccdef3075da33ca | [
"self.directory = directory\nself.locale = locale\nself.data = Config(os.path.join(directory, locale, 'locale.json'))",
"fmt = I18nFormatter()\ndata = self.data\nlocal_key = data.get(key) if data.get(key) is not None else key\ntry:\n return fmt.format(local_key, *args)\nexcept (KeyError, IndexError, ValueError... | <|body_start_0|>
self.directory = directory
self.locale = locale
self.data = Config(os.path.join(directory, locale, 'locale.json'))
<|end_body_0|>
<|body_start_1|>
fmt = I18nFormatter()
data = self.data
local_key = data.get(key) if data.get(key) is not None else key
... | I18n manager of DelogX. Attributes: directory (str): Name of the i18n directory. locale (str): Current locale. data (Config): Message data of the current locale. | I18n | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class I18n:
"""I18n manager of DelogX. Attributes: directory (str): Name of the i18n directory. locale (str): Current locale. data (Config): Message data of the current locale."""
def __init__(self, directory, locale):
"""Initialize i18n manager. Args: directory (str): Name of the i18n dir... | stack_v2_sparse_classes_36k_train_018824 | 2,355 | permissive | [
{
"docstring": "Initialize i18n manager. Args: directory (str): Name of the i18n directory. locale (str): Current locale.",
"name": "__init__",
"signature": "def __init__(self, directory, locale)"
},
{
"docstring": "Return a message by a message key. If no such message, return the key. Args: key... | 2 | stack_v2_sparse_classes_30k_test_000482 | Implement the Python class `I18n` described below.
Class description:
I18n manager of DelogX. Attributes: directory (str): Name of the i18n directory. locale (str): Current locale. data (Config): Message data of the current locale.
Method signatures and docstrings:
- def __init__(self, directory, locale): Initialize ... | Implement the Python class `I18n` described below.
Class description:
I18n manager of DelogX. Attributes: directory (str): Name of the i18n directory. locale (str): Current locale. data (Config): Message data of the current locale.
Method signatures and docstrings:
- def __init__(self, directory, locale): Initialize ... | 81739f9059c76d55ec22bcf841d28f3e817b361c | <|skeleton|>
class I18n:
"""I18n manager of DelogX. Attributes: directory (str): Name of the i18n directory. locale (str): Current locale. data (Config): Message data of the current locale."""
def __init__(self, directory, locale):
"""Initialize i18n manager. Args: directory (str): Name of the i18n dir... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class I18n:
"""I18n manager of DelogX. Attributes: directory (str): Name of the i18n directory. locale (str): Current locale. data (Config): Message data of the current locale."""
def __init__(self, directory, locale):
"""Initialize i18n manager. Args: directory (str): Name of the i18n directory. local... | the_stack_v2_python_sparse | DelogX/utils/i18n.py | ClassicOldSong/DelogX | train | 0 |
b27324aa6a42e2f7b2aafabd27a5f42895fda9a1 | [
"products = response.css('.tt-product')\nfor item in products:\n url = item.css('a::attr(href)').get()\n yield response.follow(f'{url}.json', callback=self.parse_product)\nnext_page = response.css('a.autoscroll::attr(href)').get()\nif next_page:\n yield response.follow(next_page, self.parse)",
"product =... | <|body_start_0|>
products = response.css('.tt-product')
for item in products:
url = item.css('a::attr(href)').get()
yield response.follow(f'{url}.json', callback=self.parse_product)
next_page = response.css('a.autoscroll::attr(href)').get()
if next_page:
... | TovLevSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TovLevSpider:
def parse(self, response, **kwargs):
"""Grab product urls and go to next page @url https://tovlev.com/collections/all @returns requests 9 @request https://tovlev.com/collections/all?page=2"""
<|body_0|>
def parse_product(self, response):
"""Grabbing pro... | stack_v2_sparse_classes_36k_train_018825 | 2,487 | no_license | [
{
"docstring": "Grab product urls and go to next page @url https://tovlev.com/collections/all @returns requests 9 @request https://tovlev.com/collections/all?page=2",
"name": "parse",
"signature": "def parse(self, response, **kwargs)"
},
{
"docstring": "Grabbing product. @url https://tovlev.com/... | 2 | stack_v2_sparse_classes_30k_train_013549 | Implement the Python class `TovLevSpider` described below.
Class description:
Implement the TovLevSpider class.
Method signatures and docstrings:
- def parse(self, response, **kwargs): Grab product urls and go to next page @url https://tovlev.com/collections/all @returns requests 9 @request https://tovlev.com/collect... | Implement the Python class `TovLevSpider` described below.
Class description:
Implement the TovLevSpider class.
Method signatures and docstrings:
- def parse(self, response, **kwargs): Grab product urls and go to next page @url https://tovlev.com/collections/all @returns requests 9 @request https://tovlev.com/collect... | 025babe4a03553d720806828f89929c6e773d683 | <|skeleton|>
class TovLevSpider:
def parse(self, response, **kwargs):
"""Grab product urls and go to next page @url https://tovlev.com/collections/all @returns requests 9 @request https://tovlev.com/collections/all?page=2"""
<|body_0|>
def parse_product(self, response):
"""Grabbing pro... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TovLevSpider:
def parse(self, response, **kwargs):
"""Grab product urls and go to next page @url https://tovlev.com/collections/all @returns requests 9 @request https://tovlev.com/collections/all?page=2"""
products = response.css('.tt-product')
for item in products:
url = i... | the_stack_v2_python_sparse | data_scraping/gmd/spiders/tovlev.py | panky2202/scrapy-dev | train | 1 | |
2a489461457900919917f750a122549009d78a9e | [
"self.desired_backups = desired_backups\nself.interval = interval\nself.files_to_keep = []",
"self.files_to_keep.append(new_filename)\nself.files_to_keep.sort()\nif len(self.files_to_keep) > self.desired_backups:\n prev_timestamp = None\n for file in self.files_to_keep:\n timestamp = extract_datetime... | <|body_start_0|>
self.desired_backups = desired_backups
self.interval = interval
self.files_to_keep = []
<|end_body_0|>
<|body_start_1|>
self.files_to_keep.append(new_filename)
self.files_to_keep.sort()
if len(self.files_to_keep) > self.desired_backups:
prev_... | Structure for defining and keeping track of desired backups | Desire | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Desire:
"""Structure for defining and keeping track of desired backups"""
def __init__(self, desired_backups: int, interval: timedelta) -> None:
"""desired_backups: Number of backups desired interval: Desired interval (in days) between backups"""
<|body_0|>
def evaluate(... | stack_v2_sparse_classes_36k_train_018826 | 4,990 | permissive | [
{
"docstring": "desired_backups: Number of backups desired interval: Desired interval (in days) between backups",
"name": "__init__",
"signature": "def __init__(self, desired_backups: int, interval: timedelta) -> None"
},
{
"docstring": "Consider the file, and manage the list of files we're deci... | 2 | stack_v2_sparse_classes_30k_train_008095 | Implement the Python class `Desire` described below.
Class description:
Structure for defining and keeping track of desired backups
Method signatures and docstrings:
- def __init__(self, desired_backups: int, interval: timedelta) -> None: desired_backups: Number of backups desired interval: Desired interval (in days)... | Implement the Python class `Desire` described below.
Class description:
Structure for defining and keeping track of desired backups
Method signatures and docstrings:
- def __init__(self, desired_backups: int, interval: timedelta) -> None: desired_backups: Number of backups desired interval: Desired interval (in days)... | 0ba707b0eddc280240964efa481988df92046e6a | <|skeleton|>
class Desire:
"""Structure for defining and keeping track of desired backups"""
def __init__(self, desired_backups: int, interval: timedelta) -> None:
"""desired_backups: Number of backups desired interval: Desired interval (in days) between backups"""
<|body_0|>
def evaluate(... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Desire:
"""Structure for defining and keeping track of desired backups"""
def __init__(self, desired_backups: int, interval: timedelta) -> None:
"""desired_backups: Number of backups desired interval: Desired interval (in days) between backups"""
self.desired_backups = desired_backups
... | the_stack_v2_python_sparse | openshift/s3-backup/docker/prune.py | bcgov/wps | train | 35 |
6ead54789686b0fe9dface9f24d2437fc4d03690 | [
"self.log = logger(self.__class__.__name__)\nself.storages = {}\nself.manager = SyncManager()\n\ndef ignore_signals():\n \"\"\"\n Ignores SIGINT and SIGTERM.\n We don't want them propagated to SyncManager, because\n we want to store its' state to disk on Agent shutdown.\n ... | <|body_start_0|>
self.log = logger(self.__class__.__name__)
self.storages = {}
self.manager = SyncManager()
def ignore_signals():
"""
Ignores SIGINT and SIGTERM.
We don't want them propagated to SyncManager, because
... | Manager for per sensor persistent storage. Uses `multiprocessing.managers.SyncManager` to give sensors access to a dict-like structure, which automagically synchronizes with the main process. Values are stored in sqlite as stringified JSON documents. | StorageManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StorageManager:
"""Manager for per sensor persistent storage. Uses `multiprocessing.managers.SyncManager` to give sensors access to a dict-like structure, which automagically synchronizes with the main process. Values are stored in sqlite as stringified JSON documents."""
def __init__(self, ... | stack_v2_sparse_classes_36k_train_018827 | 45,885 | permissive | [
{
"docstring": "Initializes sync manager and logger.",
"name": "__init__",
"signature": "def __init__(self, sqlite_factory)"
},
{
"docstring": "Retrieves storage for given name. If such storage doesn't exist, a new one, possibly with data got from sqlite, will be created. Note that name is not n... | 3 | stack_v2_sparse_classes_30k_train_005397 | Implement the Python class `StorageManager` described below.
Class description:
Manager for per sensor persistent storage. Uses `multiprocessing.managers.SyncManager` to give sensors access to a dict-like structure, which automagically synchronizes with the main process. Values are stored in sqlite as stringified JSON... | Implement the Python class `StorageManager` described below.
Class description:
Manager for per sensor persistent storage. Uses `multiprocessing.managers.SyncManager` to give sensors access to a dict-like structure, which automagically synchronizes with the main process. Values are stored in sqlite as stringified JSON... | d3c36672bf444a4ab9a285f32c11a4ac3d2bda31 | <|skeleton|>
class StorageManager:
"""Manager for per sensor persistent storage. Uses `multiprocessing.managers.SyncManager` to give sensors access to a dict-like structure, which automagically synchronizes with the main process. Values are stored in sqlite as stringified JSON documents."""
def __init__(self, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StorageManager:
"""Manager for per sensor persistent storage. Uses `multiprocessing.managers.SyncManager` to give sensors access to a dict-like structure, which automagically synchronizes with the main process. Values are stored in sqlite as stringified JSON documents."""
def __init__(self, sqlite_factor... | the_stack_v2_python_sparse | whmonit/client/agent.py | whitehats/monitowl-agent | train | 1 |
f50baa610286c9e3016f5a42d07cf698a0736c39 | [
"with self.schema.table('steps') as table:\n table.text('message').nullable().change()\n pass",
"cols = ['message']\nwith self.schema.table('steps') as table:\n for col in enumerate(cols):\n if col in table.get_columns():\n table.text('message').change()\n pass"
] | <|body_start_0|>
with self.schema.table('steps') as table:
table.text('message').nullable().change()
pass
<|end_body_0|>
<|body_start_1|>
cols = ['message']
with self.schema.table('steps') as table:
for col in enumerate(cols):
if col in table.... | AlterMessageStepsNullable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlterMessageStepsNullable:
def up(self):
"""Run the migrations."""
<|body_0|>
def down(self):
"""Revert the migrations."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
with self.schema.table('steps') as table:
table.text('message').nulla... | stack_v2_sparse_classes_36k_train_018828 | 588 | no_license | [
{
"docstring": "Run the migrations.",
"name": "up",
"signature": "def up(self)"
},
{
"docstring": "Revert the migrations.",
"name": "down",
"signature": "def down(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018551 | Implement the Python class `AlterMessageStepsNullable` described below.
Class description:
Implement the AlterMessageStepsNullable class.
Method signatures and docstrings:
- def up(self): Run the migrations.
- def down(self): Revert the migrations. | Implement the Python class `AlterMessageStepsNullable` described below.
Class description:
Implement the AlterMessageStepsNullable class.
Method signatures and docstrings:
- def up(self): Run the migrations.
- def down(self): Revert the migrations.
<|skeleton|>
class AlterMessageStepsNullable:
def up(self):
... | 8033c98d7dc13cf5b53e5e4293083db8419809d1 | <|skeleton|>
class AlterMessageStepsNullable:
def up(self):
"""Run the migrations."""
<|body_0|>
def down(self):
"""Revert the migrations."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AlterMessageStepsNullable:
def up(self):
"""Run the migrations."""
with self.schema.table('steps') as table:
table.text('message').nullable().change()
pass
def down(self):
"""Revert the migrations."""
cols = ['message']
with self.schema.tabl... | the_stack_v2_python_sparse | migrations/2017_12_24_094219_alter_message_steps_nullable.py | nuraizatif/pavoGUI | train | 0 | |
0df622f37e173ae244585662e8082c9fc13cd16a | [
"measure_context = {'serialno': self._equipment['serno'], 'passthrough': passthrough, 'voltage': float(voltage), 'numsamples': samples, 'duration': int(duration), 'delay': int(delay)}\nmeasurer = measure.MonsoonCurrentMeasurer(measure_context)\nresult = measurer.measure(handlerclass=measure.AveragePowerHandler)\nre... | <|body_start_0|>
measure_context = {'serialno': self._equipment['serno'], 'passthrough': passthrough, 'voltage': float(voltage), 'numsamples': samples, 'duration': int(duration), 'delay': int(delay)}
measurer = measure.MonsoonCurrentMeasurer(measure_context)
result = measurer.measure(handlerclas... | Provide power meter role controller. This one uses Monsoon device. | PowerMeterRole | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PowerMeterRole:
"""Provide power meter role controller. This one uses Monsoon device."""
def measure_average_power(self, duration=10, samples=None, voltage=4.2, passthrough='auto', delay=0):
"""Measure and report average power over the span of time. Returns: devtest.devices.monsoon.c... | stack_v2_sparse_classes_36k_train_018829 | 3,149 | permissive | [
{
"docstring": "Measure and report average power over the span of time. Returns: devtest.devices.monsoon.core.MeasurementResult object.",
"name": "measure_average_power",
"signature": "def measure_average_power(self, duration=10, samples=None, voltage=4.2, passthrough='auto', delay=0)"
},
{
"doc... | 3 | stack_v2_sparse_classes_30k_train_002378 | Implement the Python class `PowerMeterRole` described below.
Class description:
Provide power meter role controller. This one uses Monsoon device.
Method signatures and docstrings:
- def measure_average_power(self, duration=10, samples=None, voltage=4.2, passthrough='auto', delay=0): Measure and report average power ... | Implement the Python class `PowerMeterRole` described below.
Class description:
Provide power meter role controller. This one uses Monsoon device.
Method signatures and docstrings:
- def measure_average_power(self, duration=10, samples=None, voltage=4.2, passthrough='auto', delay=0): Measure and report average power ... | 9ec93045ba4bab5b20ce99dc61cebd5b5a234d01 | <|skeleton|>
class PowerMeterRole:
"""Provide power meter role controller. This one uses Monsoon device."""
def measure_average_power(self, duration=10, samples=None, voltage=4.2, passthrough='auto', delay=0):
"""Measure and report average power over the span of time. Returns: devtest.devices.monsoon.c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PowerMeterRole:
"""Provide power meter role controller. This one uses Monsoon device."""
def measure_average_power(self, duration=10, samples=None, voltage=4.2, passthrough='auto', delay=0):
"""Measure and report average power over the span of time. Returns: devtest.devices.monsoon.core.Measureme... | the_stack_v2_python_sparse | devtest/roles/powermeter.py | chaulaode1257/devtest | train | 0 |
606b7039011ede155bde7a06af8f6a7d2bbfbb0c | [
"self.bar = None\nself.onBar = onBar\nself.xminBar = None\nself.xmin = xmin\nself.onXminBar = onXminBar\nself.lastTick = None",
"newMinute = False\nif not self.bar:\n self.bar = VtBarData()\n newMinute = True\nelif self.bar.datetime.minute != tick.datetime.minute:\n self.bar.datetime = self.bar.datetime.... | <|body_start_0|>
self.bar = None
self.onBar = onBar
self.xminBar = None
self.xmin = xmin
self.onXminBar = onXminBar
self.lastTick = None
<|end_body_0|>
<|body_start_1|>
newMinute = False
if not self.bar:
self.bar = VtBarData()
newM... | K线合成器，支持： 1. 基于Tick合成1分钟K线 2. 基于1分钟K线合成X分钟K线（X可以是2、3、5、10、15、30、60） | BarGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BarGenerator:
"""K线合成器，支持： 1. 基于Tick合成1分钟K线 2. 基于1分钟K线合成X分钟K线（X可以是2、3、5、10、15、30、60）"""
def __init__(self, onBar, xmin=0, onXminBar=None):
"""Constructor"""
<|body_0|>
def updateTick(self, tick):
"""TICK更新"""
<|body_1|>
def updateBar(self, bar):
... | stack_v2_sparse_classes_36k_train_018830 | 7,750 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, onBar, xmin=0, onXminBar=None)"
},
{
"docstring": "TICK更新",
"name": "updateTick",
"signature": "def updateTick(self, tick)"
},
{
"docstring": "1分钟K线更新",
"name": "updateBar",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_train_016822 | Implement the Python class `BarGenerator` described below.
Class description:
K线合成器，支持： 1. 基于Tick合成1分钟K线 2. 基于1分钟K线合成X分钟K线（X可以是2、3、5、10、15、30、60）
Method signatures and docstrings:
- def __init__(self, onBar, xmin=0, onXminBar=None): Constructor
- def updateTick(self, tick): TICK更新
- def updateBar(self, bar): 1分钟K线更新 | Implement the Python class `BarGenerator` described below.
Class description:
K线合成器，支持： 1. 基于Tick合成1分钟K线 2. 基于1分钟K线合成X分钟K线（X可以是2、3、5、10、15、30、60）
Method signatures and docstrings:
- def __init__(self, onBar, xmin=0, onXminBar=None): Constructor
- def updateTick(self, tick): TICK更新
- def updateBar(self, bar): 1分钟K线更新
... | 4daa6bbf4d7ae7a386d8fb743217b7aec5c5fb5f | <|skeleton|>
class BarGenerator:
"""K线合成器，支持： 1. 基于Tick合成1分钟K线 2. 基于1分钟K线合成X分钟K线（X可以是2、3、5、10、15、30、60）"""
def __init__(self, onBar, xmin=0, onXminBar=None):
"""Constructor"""
<|body_0|>
def updateTick(self, tick):
"""TICK更新"""
<|body_1|>
def updateBar(self, bar):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BarGenerator:
"""K线合成器，支持： 1. 基于Tick合成1分钟K线 2. 基于1分钟K线合成X分钟K线（X可以是2、3、5、10、15、30、60）"""
def __init__(self, onBar, xmin=0, onXminBar=None):
"""Constructor"""
self.bar = None
self.onBar = onBar
self.xminBar = None
self.xmin = xmin
self.onXminBar = onXminBar
... | the_stack_v2_python_sparse | coind/utils/vtObject.py | cheatm/coind | train | 1 |
9e9c94285ee380e89555d8769be2c15e8553f601 | [
"queryset = request.user.following.all()\npaginated = self.paginate_queryset(queryset)\nreturn self.get_paginated_response(UserProfileSerializer(paginated, many=True).data)",
"username = get_key_or_400(request, 'username')\ntry:\n user = AppUser.objects.get(username=username)\n request.user.following.add(us... | <|body_start_0|>
queryset = request.user.following.all()
paginated = self.paginate_queryset(queryset)
return self.get_paginated_response(UserProfileSerializer(paginated, many=True).data)
<|end_body_0|>
<|body_start_1|>
username = get_key_or_400(request, 'username')
try:
... | FollowingView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FollowingView:
def get(self, request, format=None):
"""List of all users followed by the current user"""
<|body_0|>
def post(self, request, format=None):
"""Follow another user"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
queryset = request.user.... | stack_v2_sparse_classes_36k_train_018831 | 4,100 | permissive | [
{
"docstring": "List of all users followed by the current user",
"name": "get",
"signature": "def get(self, request, format=None)"
},
{
"docstring": "Follow another user",
"name": "post",
"signature": "def post(self, request, format=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015652 | Implement the Python class `FollowingView` described below.
Class description:
Implement the FollowingView class.
Method signatures and docstrings:
- def get(self, request, format=None): List of all users followed by the current user
- def post(self, request, format=None): Follow another user | Implement the Python class `FollowingView` described below.
Class description:
Implement the FollowingView class.
Method signatures and docstrings:
- def get(self, request, format=None): List of all users followed by the current user
- def post(self, request, format=None): Follow another user
<|skeleton|>
class Foll... | e604cf2b9f9b3bfeed7468c668a71ae2ab48402b | <|skeleton|>
class FollowingView:
def get(self, request, format=None):
"""List of all users followed by the current user"""
<|body_0|>
def post(self, request, format=None):
"""Follow another user"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FollowingView:
def get(self, request, format=None):
"""List of all users followed by the current user"""
queryset = request.user.following.all()
paginated = self.paginate_queryset(queryset)
return self.get_paginated_response(UserProfileSerializer(paginated, many=True).data)
... | the_stack_v2_python_sparse | server/authentication/api/views.py | wcreis/Real-World-App-Django-Sapper | train | 0 | |
2ae0f19d4a525f005350f221b653f33cf60bffc3 | [
"v = 0\nfor i, n in enumerate(nums):\n v += i * n\nans = v\ns, l = (sum(nums), len(nums))\nfor n in nums:\n v = v + l * n - s\n ans = max(ans, v)\nreturn ans",
"ans = None\nl = len(nums)\nfor k in range(len(nums)):\n v = 0\n for i, n in enumerate(nums):\n v += (i - k + l) % l * n\n ans = ... | <|body_start_0|>
v = 0
for i, n in enumerate(nums):
v += i * n
ans = v
s, l = (sum(nums), len(nums))
for n in nums:
v = v + l * n - s
ans = max(ans, v)
return ans
<|end_body_0|>
<|body_start_1|>
ans = None
l = len(nums)... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxRotateFunction(self, nums: list[int]) -> int:
""">>> s = Solution() >>> s.maxRotateFunction([4,3,2,6]) 26 >>> s.maxRotateFunction([100]) 0 >>> s.maxRotateFunction([-1,-2]) -1 >>> s.maxRotateFunction([-8,5,-10]) 2"""
<|body_0|>
def maxRotateFunction2(self, nu... | stack_v2_sparse_classes_36k_train_018832 | 2,456 | no_license | [
{
"docstring": ">>> s = Solution() >>> s.maxRotateFunction([4,3,2,6]) 26 >>> s.maxRotateFunction([100]) 0 >>> s.maxRotateFunction([-1,-2]) -1 >>> s.maxRotateFunction([-8,5,-10]) 2",
"name": "maxRotateFunction",
"signature": "def maxRotateFunction(self, nums: list[int]) -> int"
},
{
"docstring": ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxRotateFunction(self, nums: list[int]) -> int: >>> s = Solution() >>> s.maxRotateFunction([4,3,2,6]) 26 >>> s.maxRotateFunction([100]) 0 >>> s.maxRotateFunction([-1,-2]) -1... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxRotateFunction(self, nums: list[int]) -> int: >>> s = Solution() >>> s.maxRotateFunction([4,3,2,6]) 26 >>> s.maxRotateFunction([100]) 0 >>> s.maxRotateFunction([-1,-2]) -1... | d2e8b2dca40fc955045eb62e576c776bad8ee5f1 | <|skeleton|>
class Solution:
def maxRotateFunction(self, nums: list[int]) -> int:
""">>> s = Solution() >>> s.maxRotateFunction([4,3,2,6]) 26 >>> s.maxRotateFunction([100]) 0 >>> s.maxRotateFunction([-1,-2]) -1 >>> s.maxRotateFunction([-8,5,-10]) 2"""
<|body_0|>
def maxRotateFunction2(self, nu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxRotateFunction(self, nums: list[int]) -> int:
""">>> s = Solution() >>> s.maxRotateFunction([4,3,2,6]) 26 >>> s.maxRotateFunction([100]) 0 >>> s.maxRotateFunction([-1,-2]) -1 >>> s.maxRotateFunction([-8,5,-10]) 2"""
v = 0
for i, n in enumerate(nums):
v += i... | the_stack_v2_python_sparse | rotate-function/solution.py | childe/leetcode | train | 2 | |
7e3b9d1b8d1c5a8e50ac01d602dc62352c28de9d | [
"self.client.force_login(self.team1_admin)\nresponse = self.client.get(self.list_url)\nself.assertContains(response, 'Contexts for %s' % self.team1.name, status_code=200)\nfor context in self.team1.contexts.all():\n self.assertContains(response, context.name)\n self.assertContains(response, context.descriptio... | <|body_start_0|>
self.client.force_login(self.team1_admin)
response = self.client.get(self.list_url)
self.assertContains(response, 'Contexts for %s' % self.team1.name, status_code=200)
for context in self.team1.contexts.all():
self.assertContains(response, context.name)
... | Test ContextListView | ContextListViewTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContextListViewTest:
"""Test ContextListView"""
def test_context_list_admin(self):
"""Assert that all contexts are listed for the team admin"""
<|body_0|>
def test_context_list_member(self):
"""Assert that all right contexts are listed for the team member"""
... | stack_v2_sparse_classes_36k_train_018833 | 9,319 | permissive | [
{
"docstring": "Assert that all contexts are listed for the team admin",
"name": "test_context_list_admin",
"signature": "def test_context_list_admin(self)"
},
{
"docstring": "Assert that all right contexts are listed for the team member",
"name": "test_context_list_member",
"signature":... | 3 | stack_v2_sparse_classes_30k_train_004764 | Implement the Python class `ContextListViewTest` described below.
Class description:
Test ContextListView
Method signatures and docstrings:
- def test_context_list_admin(self): Assert that all contexts are listed for the team admin
- def test_context_list_member(self): Assert that all right contexts are listed for th... | Implement the Python class `ContextListViewTest` described below.
Class description:
Test ContextListView
Method signatures and docstrings:
- def test_context_list_admin(self): Assert that all contexts are listed for the team admin
- def test_context_list_member(self): Assert that all right contexts are listed for th... | b3a61462d46d33de25fb96c029b2bd822001b669 | <|skeleton|>
class ContextListViewTest:
"""Test ContextListView"""
def test_context_list_admin(self):
"""Assert that all contexts are listed for the team admin"""
<|body_0|>
def test_context_list_member(self):
"""Assert that all right contexts are listed for the team member"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContextListViewTest:
"""Test ContextListView"""
def test_context_list_admin(self):
"""Assert that all contexts are listed for the team admin"""
self.client.force_login(self.team1_admin)
response = self.client.get(self.list_url)
self.assertContains(response, 'Contexts for %... | the_stack_v2_python_sparse | src/context/tests.py | tykling/socialrating | train | 3 |
26d6e85f7b13b130ede56863634c91c837e7b67b | [
"if len(nums) <= 1:\n return nums\ni = j = len(nums) - 1\nwhile i >= 1 and nums[i] <= nums[i - 1]:\n i -= 1\ni -= 1\nif i >= 0:\n lo, hi = (i + 1, j + 1)\n while lo < hi:\n mid = (lo + hi) // 2\n if nums[mid] <= nums[i]:\n hi = mid\n else:\n lo = mid + 1\n l... | <|body_start_0|>
if len(nums) <= 1:
return nums
i = j = len(nums) - 1
while i >= 1 and nums[i] <= nums[i - 1]:
i -= 1
i -= 1
if i >= 0:
lo, hi = (i + 1, j + 1)
while lo < hi:
mid = (lo + hi) // 2
if n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def nextPermutation(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def nextPermutation1(self, nums: 'List[int]') -> None:
"""Do not return anything, modify nums in-place instead."""
... | stack_v2_sparse_classes_36k_train_018834 | 2,494 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.",
"name": "nextPermutation",
"signature": "def nextPermutation(self, nums)"
},
{
"docstring": "Do not return anything, modify nums in-place instead.",
"name": "nextPermutation1",
"sig... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def nextPermutation(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.
- def nextPermutation1(self, nums: 'List[int]') -> None:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def nextPermutation(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.
- def nextPermutation1(self, nums: 'List[int]') -> None:... | 4a1747b6497305f3821612d9c358a6795b1690da | <|skeleton|>
class Solution:
def nextPermutation(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def nextPermutation1(self, nums: 'List[int]') -> None:
"""Do not return anything, modify nums in-place instead."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def nextPermutation(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
if len(nums) <= 1:
return nums
i = j = len(nums) - 1
while i >= 1 and nums[i] <= nums[i - 1]:
i -= 1
i -= 1
... | the_stack_v2_python_sparse | Array/q031_next_permutation.py | sevenhe716/LeetCode | train | 0 | |
85f47f0d3e6a9c0418d427d00de354e8fc2f4223 | [
"self.plugin._regrid_and_populate(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)\nplugin_cubes = [self.plugin.temperature, self.plugin.humidity, self.plugin.pressure, self.plugin.uwind, self.plugin.vwind, self.plugin.topography]\nfor cube in plugin_cubes:\n self.asse... | <|body_start_0|>
self.plugin._regrid_and_populate(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
plugin_cubes = [self.plugin.temperature, self.plugin.humidity, self.plugin.pressure, self.plugin.uwind, self.plugin.vwind, self.plugin.topography]
for cu... | Test the _regrid_and_populate method | Test__regrid_and_populate | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test__regrid_and_populate:
"""Test the _regrid_and_populate method"""
def test_basic(self):
"""Test function populates class instance"""
<|body_0|>
def test_variables(self):
"""Test variable values are sensible"""
<|body_1|>
def test_vgradz(self):
... | stack_v2_sparse_classes_36k_train_018835 | 34,979 | permissive | [
{
"docstring": "Test function populates class instance",
"name": "test_basic",
"signature": "def test_basic(self)"
},
{
"docstring": "Test variable values are sensible",
"name": "test_variables",
"signature": "def test_variables(self)"
},
{
"docstring": "Test values of vgradz are... | 3 | stack_v2_sparse_classes_30k_train_004160 | Implement the Python class `Test__regrid_and_populate` described below.
Class description:
Test the _regrid_and_populate method
Method signatures and docstrings:
- def test_basic(self): Test function populates class instance
- def test_variables(self): Test variable values are sensible
- def test_vgradz(self): Test v... | Implement the Python class `Test__regrid_and_populate` described below.
Class description:
Test the _regrid_and_populate method
Method signatures and docstrings:
- def test_basic(self): Test function populates class instance
- def test_variables(self): Test variable values are sensible
- def test_vgradz(self): Test v... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test__regrid_and_populate:
"""Test the _regrid_and_populate method"""
def test_basic(self):
"""Test function populates class instance"""
<|body_0|>
def test_variables(self):
"""Test variable values are sensible"""
<|body_1|>
def test_vgradz(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test__regrid_and_populate:
"""Test the _regrid_and_populate method"""
def test_basic(self):
"""Test function populates class instance"""
self.plugin._regrid_and_populate(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
plugin_cubes = [se... | the_stack_v2_python_sparse | improver_tests/orographic_enhancement/test_OrographicEnhancement.py | metoppv/improver | train | 101 |
3de18d906f6389066a9078b673c6d7dc78b0e573 | [
"self.data = data\nself._attr_name = name\nself._attr_device_class = device_class\nself._attr_is_on = None\nself._payload_on = payload_on\nself._payload_off = payload_off\nself._value_template = value_template\nself._attr_unique_id = unique_id",
"await self.hass.async_add_executor_job(self.data.update)\nvalue = s... | <|body_start_0|>
self.data = data
self._attr_name = name
self._attr_device_class = device_class
self._attr_is_on = None
self._payload_on = payload_on
self._payload_off = payload_off
self._value_template = value_template
self._attr_unique_id = unique_id
<|e... | Representation of a command line binary sensor. | CommandBinarySensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommandBinarySensor:
"""Representation of a command line binary sensor."""
def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None:
"""Initi... | stack_v2_sparse_classes_36k_train_018836 | 4,158 | permissive | [
{
"docstring": "Initialize the Command line binary sensor.",
"name": "__init__",
"signature": "def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None"
},
{... | 2 | null | Implement the Python class `CommandBinarySensor` described below.
Class description:
Representation of a command line binary sensor.
Method signatures and docstrings:
- def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_templat... | Implement the Python class `CommandBinarySensor` described below.
Class description:
Representation of a command line binary sensor.
Method signatures and docstrings:
- def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_templat... | 2e65b77b2b5c17919939481f327963abdfdc53f0 | <|skeleton|>
class CommandBinarySensor:
"""Representation of a command line binary sensor."""
def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None:
"""Initi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommandBinarySensor:
"""Representation of a command line binary sensor."""
def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None:
"""Initialize the Com... | the_stack_v2_python_sparse | homeassistant/components/command_line/binary_sensor.py | konnected-io/home-assistant | train | 24 |
77e6ef8c446011b837e612d1a412756f43a10c43 | [
"nums1_copy = nums1[0:m]\nnums1[:] = []\np1, p2 = (0, 0)\nwhile p1 < m and p2 < n:\n if nums1_copy[p1] < nums2[p2]:\n nums1.append(nums1_copy[p1])\n p1 += 1\n else:\n nums1.append(nums2[p2])\n p2 += 1\nnums1[p1 + p2:] = nums2[p2:] if p2 < n else nums1_copy[p1:]",
"p, p1, p2 = (m ... | <|body_start_0|>
nums1_copy = nums1[0:m]
nums1[:] = []
p1, p2 = (0, 0)
while p1 < m and p2 < n:
if nums1_copy[p1] < nums2[p2]:
nums1.append(nums1_copy[p1])
p1 += 1
else:
nums1.append(nums2[p2])
p2 += ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge1(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, modify nums1 in-place instead."""
<|body_0|>
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, mod... | stack_v2_sparse_classes_36k_train_018837 | 1,238 | no_license | [
{
"docstring": "Do not return anything, modify nums1 in-place instead.",
"name": "merge1",
"signature": "def merge1(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None"
},
{
"docstring": "Do not return anything, modify nums1 in-place instead.",
"name": "merge",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_002323 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge1(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None: Do not return anything, modify nums1 in-place instead.
- def merge(self, nums1: List[int], m: int, n... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge1(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None: Do not return anything, modify nums1 in-place instead.
- def merge(self, nums1: List[int], m: int, n... | 41fa7e7719c3573716c967a4307dd792263aa14d | <|skeleton|>
class Solution:
def merge1(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, modify nums1 in-place instead."""
<|body_0|>
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, mod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def merge1(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, modify nums1 in-place instead."""
nums1_copy = nums1[0:m]
nums1[:] = []
p1, p2 = (0, 0)
while p1 < m and p2 < n:
if nums1_copy[p1] < nums2[p2]:... | the_stack_v2_python_sparse | python/88. 合并两个有序数组/leetcode.py | Sihaiyinan/leetcode-record | train | 3 | |
6ed48615e9255011ec0f1db018864ebb26fc3012 | [
"query_params = request.query_params.copy()\nordering_query_params = query_params.getlist(self.ordering_param, [])\nordering_params_present = False\nfor query_param in ordering_query_params:\n __key = query_param.lstrip('-')\n if __key in view.ordering_fields:\n ordering_params_present = True\n ... | <|body_start_0|>
query_params = request.query_params.copy()
ordering_query_params = query_params.getlist(self.ordering_param, [])
ordering_params_present = False
for query_param in ordering_query_params:
__key = query_param.lstrip('-')
if __key in view.ordering_fi... | Default ordering filter backend for Elasticsearch. Make sure this is your last ordering backend. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> DefaultOrderingFilterBackend, >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Loca... | DefaultOrderingFilterBackend | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefaultOrderingFilterBackend:
"""Default ordering filter backend for Elasticsearch. Make sure this is your last ordering backend. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> DefaultOrderingFilterBackend, >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch... | stack_v2_sparse_classes_36k_train_018838 | 8,440 | no_license | [
{
"docstring": "Get ordering query params. :param request: Django REST framework request. :param view: View. :type request: rest_framework.request.Request :type view: rest_framework.viewsets.ReadOnlyModelViewSet :return: Ordering params to be used for ordering. :rtype: list",
"name": "get_ordering_query_par... | 3 | stack_v2_sparse_classes_30k_train_017740 | Implement the Python class `DefaultOrderingFilterBackend` described below.
Class description:
Default ordering filter backend for Elasticsearch. Make sure this is your last ordering backend. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> DefaultOrderingFilterBackend, >>> OrderingFilterBack... | Implement the Python class `DefaultOrderingFilterBackend` described below.
Class description:
Default ordering filter backend for Elasticsearch. Make sure this is your last ordering backend. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> DefaultOrderingFilterBackend, >>> OrderingFilterBack... | 51d04b4fd0c201b543fde9c3c94d2dab6e7eee50 | <|skeleton|>
class DefaultOrderingFilterBackend:
"""Default ordering filter backend for Elasticsearch. Make sure this is your last ordering backend. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> DefaultOrderingFilterBackend, >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DefaultOrderingFilterBackend:
"""Default ordering filter backend for Elasticsearch. Make sure this is your last ordering backend. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> DefaultOrderingFilterBackend, >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.view... | the_stack_v2_python_sparse | book_es/src/django_elasticsearch_dsl_drf/filter_backends/ordering/common.py | kabrice/book-django | train | 1 |
5030c685e861702610276e80de4493a32102488b | [
"extra_specs = flavor['extra_specs']\ndeploy_kernel = extra_specs.get('baremetal:deploy_kernel_id')\ndeploy_ramdisk = extra_specs.get('baremetal:deploy_ramdisk_id')\ndeploy_ids = {}\nif deploy_kernel and deploy_ramdisk:\n deploy_ids['pxe_deploy_kernel'] = deploy_kernel\n deploy_ids['pxe_deploy_ramdisk'] = dep... | <|body_start_0|>
extra_specs = flavor['extra_specs']
deploy_kernel = extra_specs.get('baremetal:deploy_kernel_id')
deploy_ramdisk = extra_specs.get('baremetal:deploy_ramdisk_id')
deploy_ids = {}
if deploy_kernel and deploy_ramdisk:
deploy_ids['pxe_deploy_kernel'] = de... | PXEDriverFields | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PXEDriverFields:
def _get_kernel_ramdisk_dict(self, flavor):
"""Get the deploy ramdisk and kernel IDs from the flavor. :param flavor: the flavor object. :returns: a dict with the pxe options for the deploy ramdisk and kernel if the IDs were found in the flavor, otherwise an empty dict is... | stack_v2_sparse_classes_36k_train_018839 | 6,532 | permissive | [
{
"docstring": "Get the deploy ramdisk and kernel IDs from the flavor. :param flavor: the flavor object. :returns: a dict with the pxe options for the deploy ramdisk and kernel if the IDs were found in the flavor, otherwise an empty dict is returned.",
"name": "_get_kernel_ramdisk_dict",
"signature": "d... | 3 | null | Implement the Python class `PXEDriverFields` described below.
Class description:
Implement the PXEDriverFields class.
Method signatures and docstrings:
- def _get_kernel_ramdisk_dict(self, flavor): Get the deploy ramdisk and kernel IDs from the flavor. :param flavor: the flavor object. :returns: a dict with the pxe o... | Implement the Python class `PXEDriverFields` described below.
Class description:
Implement the PXEDriverFields class.
Method signatures and docstrings:
- def _get_kernel_ramdisk_dict(self, flavor): Get the deploy ramdisk and kernel IDs from the flavor. :param flavor: the flavor object. :returns: a dict with the pxe o... | d01a4e54df558092702ffeae3cb4551bfb2d7707 | <|skeleton|>
class PXEDriverFields:
def _get_kernel_ramdisk_dict(self, flavor):
"""Get the deploy ramdisk and kernel IDs from the flavor. :param flavor: the flavor object. :returns: a dict with the pxe options for the deploy ramdisk and kernel if the IDs were found in the flavor, otherwise an empty dict is... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PXEDriverFields:
def _get_kernel_ramdisk_dict(self, flavor):
"""Get the deploy ramdisk and kernel IDs from the flavor. :param flavor: the flavor object. :returns: a dict with the pxe options for the deploy ramdisk and kernel if the IDs were found in the flavor, otherwise an empty dict is returned."""
... | the_stack_v2_python_sparse | nova/virt/ironic/patcher.py | projectcalico/calico-nova | train | 7 | |
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_36k_train_018840 | 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_012709 | 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_36k | data/stack_v2_sparse_classes_30k | 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 |
dc500f8b41005b0baff7bb35ca3ce25a8349a917 | [
"if isinstance(script, GitScript):\n loader = ModuleFactory._load_module_from_git\n return loader(script)\nif isinstance(script, FileSystemScript):\n loader = ModuleFactory._load_module_from_file\n return loader(script.script_uri)\nraise ValueError(f'Script type not handled: {script.__class__.__name__}'... | <|body_start_0|>
if isinstance(script, GitScript):
loader = ModuleFactory._load_module_from_git
return loader(script)
if isinstance(script, FileSystemScript):
loader = ModuleFactory._load_module_from_file
return loader(script.script_uri)
raise Valu... | Factory class used to return Python Module instances from a variety of storage back-ends. | ModuleFactory | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModuleFactory:
"""Factory class used to return Python Module instances from a variety of storage back-ends."""
def get_module(script: ExecutableScript):
"""Load Python code from storage, returning an executable Python module. :param script: Script object describing the script to load... | stack_v2_sparse_classes_36k_train_018841 | 34,691 | permissive | [
{
"docstring": "Load Python code from storage, returning an executable Python module. :param script: Script object describing the script to load :return: Python module",
"name": "get_module",
"signature": "def get_module(script: ExecutableScript)"
},
{
"docstring": "Load Python module from file ... | 3 | stack_v2_sparse_classes_30k_train_020801 | Implement the Python class `ModuleFactory` described below.
Class description:
Factory class used to return Python Module instances from a variety of storage back-ends.
Method signatures and docstrings:
- def get_module(script: ExecutableScript): Load Python code from storage, returning an executable Python module. :... | Implement the Python class `ModuleFactory` described below.
Class description:
Factory class used to return Python Module instances from a variety of storage back-ends.
Method signatures and docstrings:
- def get_module(script: ExecutableScript): Load Python code from storage, returning an executable Python module. :... | cace7d3f3fe58e9711730893761cb8380bb7f598 | <|skeleton|>
class ModuleFactory:
"""Factory class used to return Python Module instances from a variety of storage back-ends."""
def get_module(script: ExecutableScript):
"""Load Python code from storage, returning an executable Python module. :param script: Script object describing the script to load... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModuleFactory:
"""Factory class used to return Python Module instances from a variety of storage back-ends."""
def get_module(script: ExecutableScript):
"""Load Python code from storage, returning an executable Python module. :param script: Script object describing the script to load :return: Pyt... | the_stack_v2_python_sparse | src/ska_oso_oet/procedure/domain.py | ska-telescope/observation-execution-tool | train | 0 |
deb6f550e5ad9fbe2611a40371aeace4074f907d | [
"self.n, self.m = data.shape\nself.shmem_data = mp.RawArray(ctypes.c_double, self.n * self.m)\n_data = shmem_as_ndarray(self.shmem_data).reshape((self.n, self.m))\n_data[:, :] = data\nself.leafsize = leafsize\nself._nprocs = nprocs\nself._chunk = chunk\nself._schedule = schedule",
"nx = x.shape[0]\nshmem_x = mp.R... | <|body_start_0|>
self.n, self.m = data.shape
self.shmem_data = mp.RawArray(ctypes.c_double, self.n * self.m)
_data = shmem_as_ndarray(self.shmem_data).reshape((self.n, self.m))
_data[:, :] = data
self.leafsize = leafsize
self._nprocs = nprocs
self._chunk = chunk
... | Multiprocessing cKDTree subclass, shared memory | cKDTree_MP | [
"GPL-2.0-only",
"GPL-1.0-or-later",
"LGPL-2.0-or-later",
"LicenseRef-scancode-mit-old-style",
"dtoa",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-public-domain-disclaimer",
"Zlib",
"LicenseRef-scancode-public-domain",
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-lic... | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class cKDTree_MP:
"""Multiprocessing cKDTree subclass, shared memory"""
def __init__(self, data, leafsize=10, nprocs=2, chunk=None, schedule='guided'):
"""Same as cKDTree.__init__ except that an internal copy of data to shared memory is made. Extra keyword arguments: chunk : Minimum chunk ... | stack_v2_sparse_classes_36k_train_018842 | 10,163 | permissive | [
{
"docstring": "Same as cKDTree.__init__ except that an internal copy of data to shared memory is made. Extra keyword arguments: chunk : Minimum chunk size for the load balancer. schedule: Strategy for balancing work load ('static', 'dynamic' or 'guided').",
"name": "__init__",
"signature": "def __init_... | 2 | stack_v2_sparse_classes_30k_train_003245 | Implement the Python class `cKDTree_MP` described below.
Class description:
Multiprocessing cKDTree subclass, shared memory
Method signatures and docstrings:
- def __init__(self, data, leafsize=10, nprocs=2, chunk=None, schedule='guided'): Same as cKDTree.__init__ except that an internal copy of data to shared memory... | Implement the Python class `cKDTree_MP` described below.
Class description:
Multiprocessing cKDTree subclass, shared memory
Method signatures and docstrings:
- def __init__(self, data, leafsize=10, nprocs=2, chunk=None, schedule='guided'): Same as cKDTree.__init__ except that an internal copy of data to shared memory... | 930d26886fdf8591b51da9d53e2aca743bf128ba | <|skeleton|>
class cKDTree_MP:
"""Multiprocessing cKDTree subclass, shared memory"""
def __init__(self, data, leafsize=10, nprocs=2, chunk=None, schedule='guided'):
"""Same as cKDTree.__init__ except that an internal copy of data to shared memory is made. Extra keyword arguments: chunk : Minimum chunk ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class cKDTree_MP:
"""Multiprocessing cKDTree subclass, shared memory"""
def __init__(self, data, leafsize=10, nprocs=2, chunk=None, schedule='guided'):
"""Same as cKDTree.__init__ except that an internal copy of data to shared memory is made. Extra keyword arguments: chunk : Minimum chunk size for the ... | the_stack_v2_python_sparse | 3/amd64/envs/navigator/lib/python3.6/site-packages/pyresample/_spatial_mp.py | DFO-Ocean-Navigator/navigator-toolchain | train | 0 |
c5adee643bbe9db8b815807dc9e4497a6beb0d8f | [
"address = ModelDelivereAdrressClient.query.filter_by(id=address_id).filter_by(client=client_id).first()\nif address:\n try:\n address.delete_address()\n return (jsonify({'message': 'address deleted'}), 200)\n except:\n return (jsonify({'message': 'Internal error'}), 500)\nreturn (jsonify... | <|body_start_0|>
address = ModelDelivereAdrressClient.query.filter_by(id=address_id).filter_by(client=client_id).first()
if address:
try:
address.delete_address()
return (jsonify({'message': 'address deleted'}), 200)
except:
return ... | ClientAddressApi | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientAddressApi:
def delete(self, client_id, address_id):
"""Deletar endereço de entrega cadastrado."""
<|body_0|>
def put(self, client_id, address_id):
"""Atualiza endereço de entrega cadastrador"""
<|body_1|>
def patch(self, client_id, address_id):
... | stack_v2_sparse_classes_36k_train_018843 | 11,080 | permissive | [
{
"docstring": "Deletar endereço de entrega cadastrado.",
"name": "delete",
"signature": "def delete(self, client_id, address_id)"
},
{
"docstring": "Atualiza endereço de entrega cadastrador",
"name": "put",
"signature": "def put(self, client_id, address_id)"
},
{
"docstring": "S... | 4 | stack_v2_sparse_classes_30k_train_007016 | Implement the Python class `ClientAddressApi` described below.
Class description:
Implement the ClientAddressApi class.
Method signatures and docstrings:
- def delete(self, client_id, address_id): Deletar endereço de entrega cadastrado.
- def put(self, client_id, address_id): Atualiza endereço de entrega cadastrador
... | Implement the Python class `ClientAddressApi` described below.
Class description:
Implement the ClientAddressApi class.
Method signatures and docstrings:
- def delete(self, client_id, address_id): Deletar endereço de entrega cadastrado.
- def put(self, client_id, address_id): Atualiza endereço de entrega cadastrador
... | d85e9eb6680e48bfa4a8ccba24c76fb8f5fbcc54 | <|skeleton|>
class ClientAddressApi:
def delete(self, client_id, address_id):
"""Deletar endereço de entrega cadastrado."""
<|body_0|>
def put(self, client_id, address_id):
"""Atualiza endereço de entrega cadastrador"""
<|body_1|>
def patch(self, client_id, address_id):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClientAddressApi:
def delete(self, client_id, address_id):
"""Deletar endereço de entrega cadastrado."""
address = ModelDelivereAdrressClient.query.filter_by(id=address_id).filter_by(client=client_id).first()
if address:
try:
address.delete_address()
... | the_stack_v2_python_sparse | Api/resources/admin/clients.py | rodrigomota01/azulerosa | train | 0 | |
14c4bc9375274d83f0d9cdd9799505ba24934674 | [
"assert isinstance(output_size, (int, tuple))\nassert isinstance(return_tensor, bool)\nassert isinstance(channel_first, bool)\nassert isinstance(interpolation, int)\nself.output_size = output_size\nself.return_tensor = return_tensor\nself.channel_first = channel_first\nself.interpolation = interpolation",
"if sel... | <|body_start_0|>
assert isinstance(output_size, (int, tuple))
assert isinstance(return_tensor, bool)
assert isinstance(channel_first, bool)
assert isinstance(interpolation, int)
self.output_size = output_size
self.return_tensor = return_tensor
self.channel_first =... | Rescales a collection of images in a given sample, to a specified size. | BatchRescale | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatchRescale:
"""Rescales a collection of images in a given sample, to a specified size."""
def __init__(self, output_size, return_tensor=True, channel_first=True, interpolation=cv2.INTER_LANCZOS4):
"""Instantiates a new BatchResize object. Parameters ---------- output_size : int or ... | stack_v2_sparse_classes_36k_train_018844 | 14,169 | no_license | [
{
"docstring": "Instantiates a new BatchResize object. Parameters ---------- output_size : int or tuple The output size of the image (height and width). If an integer is passed as input, then the output size of the image is determined by scaling the height and width of the original image. return_tensor : {True,... | 2 | stack_v2_sparse_classes_30k_val_000371 | Implement the Python class `BatchRescale` described below.
Class description:
Rescales a collection of images in a given sample, to a specified size.
Method signatures and docstrings:
- def __init__(self, output_size, return_tensor=True, channel_first=True, interpolation=cv2.INTER_LANCZOS4): Instantiates a new BatchR... | Implement the Python class `BatchRescale` described below.
Class description:
Rescales a collection of images in a given sample, to a specified size.
Method signatures and docstrings:
- def __init__(self, output_size, return_tensor=True, channel_first=True, interpolation=cv2.INTER_LANCZOS4): Instantiates a new BatchR... | a7c30481822ecb945e3ff6ad184d104361a40ed1 | <|skeleton|>
class BatchRescale:
"""Rescales a collection of images in a given sample, to a specified size."""
def __init__(self, output_size, return_tensor=True, channel_first=True, interpolation=cv2.INTER_LANCZOS4):
"""Instantiates a new BatchResize object. Parameters ---------- output_size : int or ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BatchRescale:
"""Rescales a collection of images in a given sample, to a specified size."""
def __init__(self, output_size, return_tensor=True, channel_first=True, interpolation=cv2.INTER_LANCZOS4):
"""Instantiates a new BatchResize object. Parameters ---------- output_size : int or tuple The out... | the_stack_v2_python_sparse | cheapfake/contrib/transforms.py | hu-simon/cheapfake | train | 0 |
3558bbb268d6a7cf6cab327fc781231d8d4c1608 | [
"super().__init__()\nself.dropout_rate = dropout_rate\nself.device = device\nself.ff1 = torch.nn.Linear(input_size, hidden_size)\nself.ff2 = torch.nn.Linear(hidden_size, 1, bias=False)\nif dropout_rate is not None:\n self.model_drop = torch.nn.Dropout(dropout_rate)",
"attn_ = torch.tanh(self.ff1(input_))\nattn... | <|body_start_0|>
super().__init__()
self.dropout_rate = dropout_rate
self.device = device
self.ff1 = torch.nn.Linear(input_size, hidden_size)
self.ff2 = torch.nn.Linear(hidden_size, 1, bias=False)
if dropout_rate is not None:
self.model_drop = torch.nn.Dropout... | AttentionSelf | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttentionSelf:
def __init__(self, input_size, hidden_size, dropout_rate=None, device=torch.device('cpu')):
"""implementation of self-attention."""
<|body_0|>
def forward(self, input_, mask=None):
"""input vector: input_ output: attn_: attention weights ctx_vec: conte... | stack_v2_sparse_classes_36k_train_018845 | 1,556 | permissive | [
{
"docstring": "implementation of self-attention.",
"name": "__init__",
"signature": "def __init__(self, input_size, hidden_size, dropout_rate=None, device=torch.device('cpu'))"
},
{
"docstring": "input vector: input_ output: attn_: attention weights ctx_vec: context vector",
"name": "forwar... | 2 | stack_v2_sparse_classes_30k_train_021194 | Implement the Python class `AttentionSelf` described below.
Class description:
Implement the AttentionSelf class.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, dropout_rate=None, device=torch.device('cpu')): implementation of self-attention.
- def forward(self, input_, mask=None): in... | Implement the Python class `AttentionSelf` described below.
Class description:
Implement the AttentionSelf class.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, dropout_rate=None, device=torch.device('cpu')): implementation of self-attention.
- def forward(self, input_, mask=None): in... | 4ca989e45c16aa39ea041c55a414ccd6917d940e | <|skeleton|>
class AttentionSelf:
def __init__(self, input_size, hidden_size, dropout_rate=None, device=torch.device('cpu')):
"""implementation of self-attention."""
<|body_0|>
def forward(self, input_, mask=None):
"""input vector: input_ output: attn_: attention weights ctx_vec: conte... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AttentionSelf:
def __init__(self, input_size, hidden_size, dropout_rate=None, device=torch.device('cpu')):
"""implementation of self-attention."""
super().__init__()
self.dropout_rate = dropout_rate
self.device = device
self.ff1 = torch.nn.Linear(input_size, hidden_size... | the_stack_v2_python_sparse | LeafNATS/modules/attention/attention_self.py | tshi04/DMSC_FEDA | train | 2 | |
555c8a6f8091c7e47c2c87f6762c78fae3129f34 | [
"super().__init__()\nif act == 'elu':\n act = nn.ELU\nelif act == 'relu':\n act = nn.ReLU\nelif act == 'prelu':\n act = nn.PReLU\nelif act == 'leakyrelu':\n act = nn.LeakyReLU\nelse:\n raise ValueError(f'Activation function {act} not supported. Please choose between ReLU, PReLU, LeakyReLU, ELU.')\nse... | <|body_start_0|>
super().__init__()
if act == 'elu':
act = nn.ELU
elif act == 'relu':
act = nn.ReLU
elif act == 'prelu':
act = nn.PReLU
elif act == 'leakyrelu':
act = nn.LeakyReLU
else:
raise ValueError(f'Activat... | Implementation of the V-Net, as presented in Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. References ---------- .. Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation, 2016. https://arxiv.org/abs/1606.04797 | VNet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VNet:
"""Implementation of the V-Net, as presented in Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. References ---------- .. Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation, 2016. https://arxiv.org/abs/... | stack_v2_sparse_classes_36k_train_018846 | 8,968 | permissive | [
{
"docstring": "Parameters ---------- in_chans : int Number of input channels. out_chans : int Number of output channels. act : nn.Module Activation function. drop_prob : float Dropout probability. bias : bool Whether to use bias.",
"name": "__init__",
"signature": "def __init__(self, in_chans: int=1, o... | 2 | stack_v2_sparse_classes_30k_train_015556 | Implement the Python class `VNet` described below.
Class description:
Implementation of the V-Net, as presented in Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. References ---------- .. Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Seg... | Implement the Python class `VNet` described below.
Class description:
Implementation of the V-Net, as presented in Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. References ---------- .. Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Seg... | 6d15dd55ca5ed6fc9fbfd31d8488ee7bab453066 | <|skeleton|>
class VNet:
"""Implementation of the V-Net, as presented in Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. References ---------- .. Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation, 2016. https://arxiv.org/abs/... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VNet:
"""Implementation of the V-Net, as presented in Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. References ---------- .. Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation, 2016. https://arxiv.org/abs/1606.04797"""... | the_stack_v2_python_sparse | mridc/collections/segmentation/models/vnet_base/vnet_block.py | wdika/mridc | train | 40 |
a671de5e7d0773ccd423563a2673c2c94e89d840 | [
"super(TaskFeeManager, self).__init__()\nself.getters.update({'task': 'get_foreign_key'})\nself.setters.update({'task': 'set_foreign_key'})\nself.my_django_model = facade.models.TaskFee",
"if not optional_attributes:\n optional_attributes = dict()\nblame = facade.managers.BlameManager().create(auth_token)\ntas... | <|body_start_0|>
super(TaskFeeManager, self).__init__()
self.getters.update({'task': 'get_foreign_key'})
self.setters.update({'task': 'set_foreign_key'})
self.my_django_model = facade.models.TaskFee
<|end_body_0|>
<|body_start_1|>
if not optional_attributes:
optional... | Manage TaskFees in the Power Reg system | TaskFeeManager | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskFeeManager:
"""Manage TaskFees in the Power Reg system"""
def __init__(self):
"""constructor"""
<|body_0|>
def create(self, auth_token, sku, name, description, price, cost, task, optional_attributes=None):
"""Create a new TaskFee You should probably define 's... | stack_v2_sparse_classes_36k_train_018847 | 2,387 | permissive | [
{
"docstring": "constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Create a new TaskFee You should probably define 'starting_quantity' in optional_attributes @param sku SKU, up to 32 characters @param name name of the Product, up to 127 characters @param descr... | 2 | null | Implement the Python class `TaskFeeManager` described below.
Class description:
Manage TaskFees in the Power Reg system
Method signatures and docstrings:
- def __init__(self): constructor
- def create(self, auth_token, sku, name, description, price, cost, task, optional_attributes=None): Create a new TaskFee You shou... | Implement the Python class `TaskFeeManager` described below.
Class description:
Manage TaskFees in the Power Reg system
Method signatures and docstrings:
- def __init__(self): constructor
- def create(self, auth_token, sku, name, description, price, cost, task, optional_attributes=None): Create a new TaskFee You shou... | a59457bc37f0501aea1f54d006a6de94ff80511c | <|skeleton|>
class TaskFeeManager:
"""Manage TaskFees in the Power Reg system"""
def __init__(self):
"""constructor"""
<|body_0|>
def create(self, auth_token, sku, name, description, price, cost, task, optional_attributes=None):
"""Create a new TaskFee You should probably define 's... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskFeeManager:
"""Manage TaskFees in the Power Reg system"""
def __init__(self):
"""constructor"""
super(TaskFeeManager, self).__init__()
self.getters.update({'task': 'get_foreign_key'})
self.setters.update({'task': 'set_foreign_key'})
self.my_django_model = facad... | the_stack_v2_python_sparse | pr_services/event_system/task_fee_manager.py | ninemoreminutes/openassign-server | train | 0 |
6e734dffea1543a81c128d2bfa03d811d700da8f | [
"print(exp_str)\nexp_split = exp_str.replace(' ', '')\nparent_stack = stack.Stack()\nexp_binary_tree = binary_tree_link.BinaryTree('')\nparent_stack.push(exp_binary_tree)\ncurrent_tree = exp_binary_tree\nfor s in exp_split:\n if s == '(':\n current_tree.insertLeft('')\n parent_stack.push(current_tr... | <|body_start_0|>
print(exp_str)
exp_split = exp_str.replace(' ', '')
parent_stack = stack.Stack()
exp_binary_tree = binary_tree_link.BinaryTree('')
parent_stack.push(exp_binary_tree)
current_tree = exp_binary_tree
for s in exp_split:
if s == '(':
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def expParseTree(self, exp_str):
"""将字符串表达式，转换为表达式解析树 :param exp_str: 字符串表达式 :return: 表达式解析树"""
<|body_0|>
def expEval(self, exp_binary_tree):
"""使用递归算法来求算数表达式 其实该过程是树的后序遍历 :param exp_binary_tree: 表达式解析树 :return:"""
<|body_1|>
def mathFunction(... | stack_v2_sparse_classes_36k_train_018848 | 3,654 | no_license | [
{
"docstring": "将字符串表达式，转换为表达式解析树 :param exp_str: 字符串表达式 :return: 表达式解析树",
"name": "expParseTree",
"signature": "def expParseTree(self, exp_str)"
},
{
"docstring": "使用递归算法来求算数表达式 其实该过程是树的后序遍历 :param exp_binary_tree: 表达式解析树 :return:",
"name": "expEval",
"signature": "def expEval(self, exp... | 4 | stack_v2_sparse_classes_30k_train_006997 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def expParseTree(self, exp_str): 将字符串表达式，转换为表达式解析树 :param exp_str: 字符串表达式 :return: 表达式解析树
- def expEval(self, exp_binary_tree): 使用递归算法来求算数表达式 其实该过程是树的后序遍历 :param exp_binary_tree:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def expParseTree(self, exp_str): 将字符串表达式，转换为表达式解析树 :param exp_str: 字符串表达式 :return: 表达式解析树
- def expEval(self, exp_binary_tree): 使用递归算法来求算数表达式 其实该过程是树的后序遍历 :param exp_binary_tree:... | 97cc61fefe0bedf5161687aab92fb09b0df990e2 | <|skeleton|>
class Solution:
def expParseTree(self, exp_str):
"""将字符串表达式，转换为表达式解析树 :param exp_str: 字符串表达式 :return: 表达式解析树"""
<|body_0|>
def expEval(self, exp_binary_tree):
"""使用递归算法来求算数表达式 其实该过程是树的后序遍历 :param exp_binary_tree: 表达式解析树 :return:"""
<|body_1|>
def mathFunction(... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def expParseTree(self, exp_str):
"""将字符串表达式，转换为表达式解析树 :param exp_str: 字符串表达式 :return: 表达式解析树"""
print(exp_str)
exp_split = exp_str.replace(' ', '')
parent_stack = stack.Stack()
exp_binary_tree = binary_tree_link.BinaryTree('')
parent_stack.push(exp_bin... | the_stack_v2_python_sparse | code/tree/expTreeEval.py | JiaXingBinggan/For_work | train | 0 | |
0e3cf994647639950a90ba77d55f474b43a9231e | [
"new_date = fields.datetime.today()\nif self.date < new_date:\n raise ValidationError(_('Configure expiry date greater than current date!'))",
"emp_obj = self.env['hr.employee']\nobj_mail_server = self.env['ir.mail_server']\nuser = self.env.user\nmail_server_record = obj_mail_server.search([], limit=1)\nif not... | <|body_start_0|>
new_date = fields.datetime.today()
if self.date < new_date:
raise ValidationError(_('Configure expiry date greater than current date!'))
<|end_body_0|>
<|body_start_1|>
emp_obj = self.env['hr.employee']
obj_mail_server = self.env['ir.mail_server']
us... | Defining studen news. | StudentNews | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StudentNews:
"""Defining studen news."""
def checknews_dates(self):
"""Check news date."""
<|body_0|>
def news_update(self):
"""Method to send email to student for news update"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
new_date = fields.dat... | stack_v2_sparse_classes_36k_train_018849 | 38,006 | no_license | [
{
"docstring": "Check news date.",
"name": "checknews_dates",
"signature": "def checknews_dates(self)"
},
{
"docstring": "Method to send email to student for news update",
"name": "news_update",
"signature": "def news_update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015741 | Implement the Python class `StudentNews` described below.
Class description:
Defining studen news.
Method signatures and docstrings:
- def checknews_dates(self): Check news date.
- def news_update(self): Method to send email to student for news update | Implement the Python class `StudentNews` described below.
Class description:
Defining studen news.
Method signatures and docstrings:
- def checknews_dates(self): Check news date.
- def news_update(self): Method to send email to student for news update
<|skeleton|>
class StudentNews:
"""Defining studen news."""
... | 6a9793f3a15da9eed40bf840b1d9a46457c5fd55 | <|skeleton|>
class StudentNews:
"""Defining studen news."""
def checknews_dates(self):
"""Check news date."""
<|body_0|>
def news_update(self):
"""Method to send email to student for news update"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StudentNews:
"""Defining studen news."""
def checknews_dates(self):
"""Check news date."""
new_date = fields.datetime.today()
if self.date < new_date:
raise ValidationError(_('Configure expiry date greater than current date!'))
def news_update(self):
"""Me... | the_stack_v2_python_sparse | school/models/school.py | JayVora-SerpentCS/OdooEduERP | train | 121 |
e7e56ff625331276f7cf4837fcff84b785f35e08 | [
"super(statement, self).__init__(*args, **kwargs)\nself.id = msg.statement_id\nself.local_account = msg.local_account\ntry:\n self.date = str2date(msg.date, '%Y%m%d')\nexcept ValueError:\n self.date = str2date(msg.date, '%d-%m-%Y')\nself.start_balance = self.end_balance = 0\nself.import_transaction(msg)",
"... | <|body_start_0|>
super(statement, self).__init__(*args, **kwargs)
self.id = msg.statement_id
self.local_account = msg.local_account
try:
self.date = str2date(msg.date, '%Y%m%d')
except ValueError:
self.date = str2date(msg.date, '%d-%m-%Y')
self.sta... | Implementation of bank_statement communication class of account_banking | statement | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class statement:
"""Implementation of bank_statement communication class of account_banking"""
def __init__(self, msg, *args, **kwargs):
"""Set decent start values based on first transaction read"""
<|body_0|>
def import_transaction(self, msg):
"""Import a transaction ... | stack_v2_sparse_classes_36k_train_018850 | 11,174 | no_license | [
{
"docstring": "Set decent start values based on first transaction read",
"name": "__init__",
"signature": "def __init__(self, msg, *args, **kwargs)"
},
{
"docstring": "Import a transaction and keep some house holding in the mean time.",
"name": "import_transaction",
"signature": "def im... | 2 | stack_v2_sparse_classes_30k_train_020360 | Implement the Python class `statement` described below.
Class description:
Implementation of bank_statement communication class of account_banking
Method signatures and docstrings:
- def __init__(self, msg, *args, **kwargs): Set decent start values based on first transaction read
- def import_transaction(self, msg): ... | Implement the Python class `statement` described below.
Class description:
Implementation of bank_statement communication class of account_banking
Method signatures and docstrings:
- def __init__(self, msg, *args, **kwargs): Set decent start values based on first transaction read
- def import_transaction(self, msg): ... | 4efe5e48b1c995589c5f890b4ff6ad02b1eb84bd | <|skeleton|>
class statement:
"""Implementation of bank_statement communication class of account_banking"""
def __init__(self, msg, *args, **kwargs):
"""Set decent start values based on first transaction read"""
<|body_0|>
def import_transaction(self, msg):
"""Import a transaction ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class statement:
"""Implementation of bank_statement communication class of account_banking"""
def __init__(self, msg, *args, **kwargs):
"""Set decent start values based on first transaction read"""
super(statement, self).__init__(*args, **kwargs)
self.id = msg.statement_id
self... | the_stack_v2_python_sparse | account_banking_nl_ing/ing.py | credativUK/banking | train | 0 |
c8ad25722d90594c3f25fae85e4407e2b8a6f8a4 | [
"path = Path(utils.extract_tarbytes(file_bytes, path))\noutput = next(path.iterdir())\nreturn output",
"if not utils.is_url(location):\n logger.debug(f'{self}: {location} not viable, skipping...')\n return location\ntmp_dir = tempfile.mkdtemp()\ntmp_path = Path(tmp_dir)\nfilename = utils.get_url_filename(lo... | <|body_start_0|>
path = Path(utils.extract_tarbytes(file_bytes, path))
output = next(path.iterdir())
return output
<|end_body_0|>
<|body_start_1|>
if not utils.is_url(location):
logger.debug(f'{self}: {location} not viable, skipping...')
return location
t... | Stub Source for remote locations. | RemoteStubLocator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RemoteStubLocator:
"""Stub Source for remote locations."""
def _unpack_archive(self, file_bytes: bytes, path: PathStr) -> PathStr:
"""Unpack archive from bytes buffer. Args: file_bytes (bytes): Byte array to extract from Must be from tarfile with gzip compression path (str): path to ... | stack_v2_sparse_classes_36k_train_018851 | 4,965 | permissive | [
{
"docstring": "Unpack archive from bytes buffer. Args: file_bytes (bytes): Byte array to extract from Must be from tarfile with gzip compression path (str): path to extract file to Returns: path: path extracted to",
"name": "_unpack_archive",
"signature": "def _unpack_archive(self, file_bytes: bytes, p... | 2 | stack_v2_sparse_classes_30k_train_010470 | Implement the Python class `RemoteStubLocator` described below.
Class description:
Stub Source for remote locations.
Method signatures and docstrings:
- def _unpack_archive(self, file_bytes: bytes, path: PathStr) -> PathStr: Unpack archive from bytes buffer. Args: file_bytes (bytes): Byte array to extract from Must b... | Implement the Python class `RemoteStubLocator` described below.
Class description:
Stub Source for remote locations.
Method signatures and docstrings:
- def _unpack_archive(self, file_bytes: bytes, path: PathStr) -> PathStr: Unpack archive from bytes buffer. Args: file_bytes (bytes): Byte array to extract from Must b... | 7223ea77b2a93241e4bc0bce16d0c11c37f1f678 | <|skeleton|>
class RemoteStubLocator:
"""Stub Source for remote locations."""
def _unpack_archive(self, file_bytes: bytes, path: PathStr) -> PathStr:
"""Unpack archive from bytes buffer. Args: file_bytes (bytes): Byte array to extract from Must be from tarfile with gzip compression path (str): path to ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RemoteStubLocator:
"""Stub Source for remote locations."""
def _unpack_archive(self, file_bytes: bytes, path: PathStr) -> PathStr:
"""Unpack archive from bytes buffer. Args: file_bytes (bytes): Byte array to extract from Must be from tarfile with gzip compression path (str): path to extract file ... | the_stack_v2_python_sparse | micropy/stubs/source.py | BradenM/micropy-cli | train | 292 |
be34b186c58ee1577f9f128215912b5341cb647d | [
"if browser is None:\n new_browser = webdriver.Firefox()\nelse:\n new_browser = browser\nnew_browser.get(self.url_homepage)\ntime.sleep(1)\ntarget = new_browser.find_element_by_xpath('/html/body/div[2]/div[1]/div/div/form/input[1]')\ntarget.clear()\ntarget.send_keys('%s' % name)\ntime.sleep(1)\nurl = ''\nstyl... | <|body_start_0|>
if browser is None:
new_browser = webdriver.Firefox()
else:
new_browser = browser
new_browser.get(self.url_homepage)
time.sleep(1)
target = new_browser.find_element_by_xpath('/html/body/div[2]/div[1]/div/div/form/input[1]')
target.... | 采集腾讯视频指数模块 | Tencent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tencent:
"""采集腾讯视频指数模块"""
def get_url_from_name(self, name, browser=None, DEBUG=False):
"""获取搜索内容为name的腾讯视频指数地址"""
<|body_0|>
def get_play_time_and_order(self, url, browser=None, DEBUG=False):
"""获取播放次数和排名"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_018852 | 2,393 | no_license | [
{
"docstring": "获取搜索内容为name的腾讯视频指数地址",
"name": "get_url_from_name",
"signature": "def get_url_from_name(self, name, browser=None, DEBUG=False)"
},
{
"docstring": "获取播放次数和排名",
"name": "get_play_time_and_order",
"signature": "def get_play_time_and_order(self, url, browser=None, DEBUG=False... | 2 | stack_v2_sparse_classes_30k_train_004491 | Implement the Python class `Tencent` described below.
Class description:
采集腾讯视频指数模块
Method signatures and docstrings:
- def get_url_from_name(self, name, browser=None, DEBUG=False): 获取搜索内容为name的腾讯视频指数地址
- def get_play_time_and_order(self, url, browser=None, DEBUG=False): 获取播放次数和排名 | Implement the Python class `Tencent` described below.
Class description:
采集腾讯视频指数模块
Method signatures and docstrings:
- def get_url_from_name(self, name, browser=None, DEBUG=False): 获取搜索内容为name的腾讯视频指数地址
- def get_play_time_and_order(self, url, browser=None, DEBUG=False): 获取播放次数和排名
<|skeleton|>
class Tencent:
"""... | 113136256d448e635227b16259eb237dd8617b78 | <|skeleton|>
class Tencent:
"""采集腾讯视频指数模块"""
def get_url_from_name(self, name, browser=None, DEBUG=False):
"""获取搜索内容为name的腾讯视频指数地址"""
<|body_0|>
def get_play_time_and_order(self, url, browser=None, DEBUG=False):
"""获取播放次数和排名"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Tencent:
"""采集腾讯视频指数模块"""
def get_url_from_name(self, name, browser=None, DEBUG=False):
"""获取搜索内容为name的腾讯视频指数地址"""
if browser is None:
new_browser = webdriver.Firefox()
else:
new_browser = browser
new_browser.get(self.url_homepage)
time.slee... | the_stack_v2_python_sparse | GetAllOrder2/my project/Tencent.py | chenjiahustc/workspace | train | 0 |
af3322ad957a08f4130ddcb02cf4667c40221731 | [
"def dp(lo, hi, memo):\n if lo >= hi:\n return 0\n if (lo, hi) not in memo:\n ans = float('inf')\n for x in range(lo, hi + 1):\n ans = min(ans, x + max(dp(lo, x - 1, memo), dp(x + 1, hi, memo)))\n memo[lo, hi] = ans\n return memo[lo, hi]\nreturn dp(1, n, {})",
"dp =... | <|body_start_0|>
def dp(lo, hi, memo):
if lo >= hi:
return 0
if (lo, hi) not in memo:
ans = float('inf')
for x in range(lo, hi + 1):
ans = min(ans, x + max(dp(lo, x - 1, memo), dp(x + 1, hi, memo)))
memo[... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getMoneyAmount(self, n: int) -> int:
"""intuition: we want to find out the minimum cost to gurantee a win. Initially we only know that the secret number is within 1 to n; as we progress in the game, the lower and higher bound of the secrete number is getting smaller and sma... | stack_v2_sparse_classes_36k_train_018853 | 3,662 | no_license | [
{
"docstring": "intuition: we want to find out the minimum cost to gurantee a win. Initially we only know that the secret number is within 1 to n; as we progress in the game, the lower and higher bound of the secrete number is getting smaller and smaller. Without lose generality, let's assume we want to find th... | 2 | stack_v2_sparse_classes_30k_train_009939 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMoneyAmount(self, n: int) -> int: intuition: we want to find out the minimum cost to gurantee a win. Initially we only know that the secret number is within 1 to n; as we ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMoneyAmount(self, n: int) -> int: intuition: we want to find out the minimum cost to gurantee a win. Initially we only know that the secret number is within 1 to n; as we ... | 6ff1941ff213a843013100ac7033e2d4f90fbd6a | <|skeleton|>
class Solution:
def getMoneyAmount(self, n: int) -> int:
"""intuition: we want to find out the minimum cost to gurantee a win. Initially we only know that the secret number is within 1 to n; as we progress in the game, the lower and higher bound of the secrete number is getting smaller and sma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def getMoneyAmount(self, n: int) -> int:
"""intuition: we want to find out the minimum cost to gurantee a win. Initially we only know that the secret number is within 1 to n; as we progress in the game, the lower and higher bound of the secrete number is getting smaller and smaller. Without ... | the_stack_v2_python_sparse | Leetcode 0375. Guess Number Higher or Lower II.py | Chaoran-sjsu/leetcode | 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_36k_train_018854 | 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_test_000013 | 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_36k | data/stack_v2_sparse_classes_30k | 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 | |
4aef7d4115461f1d7ed065a0b8953108325a854d | [
"try:\n r = ResumableFile(self.request.GET, self.request.user)\n logger.debug('[GET] Resumable Upload file_name %s part_num %d' % (r.filename, r.part_num))\n if r.is_exist:\n logger.debug('[POST] file have exist')\n dict_resp = upload_complete(self.request.user, r.filename, r.src_filename, r.... | <|body_start_0|>
try:
r = ResumableFile(self.request.GET, self.request.user)
logger.debug('[GET] Resumable Upload file_name %s part_num %d' % (r.filename, r.part_num))
if r.is_exist:
logger.debug('[POST] file have exist')
dict_resp = upload_com... | ResumableUploadView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResumableUploadView:
def get(self, *args, **kwargs):
"""Checks if chunk has allready been sended."""
<|body_0|>
def post(self, *args, **kwargs):
"""Saves chunks."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
r = ResumableFile(self... | stack_v2_sparse_classes_36k_train_018855 | 4,314 | no_license | [
{
"docstring": "Checks if chunk has allready been sended.",
"name": "get",
"signature": "def get(self, *args, **kwargs)"
},
{
"docstring": "Saves chunks.",
"name": "post",
"signature": "def post(self, *args, **kwargs)"
}
] | 2 | null | Implement the Python class `ResumableUploadView` described below.
Class description:
Implement the ResumableUploadView class.
Method signatures and docstrings:
- def get(self, *args, **kwargs): Checks if chunk has allready been sended.
- def post(self, *args, **kwargs): Saves chunks. | Implement the Python class `ResumableUploadView` described below.
Class description:
Implement the ResumableUploadView class.
Method signatures and docstrings:
- def get(self, *args, **kwargs): Checks if chunk has allready been sended.
- def post(self, *args, **kwargs): Saves chunks.
<|skeleton|>
class ResumableUplo... | 2ab79517f98de8183ff70faf33ede578986a173f | <|skeleton|>
class ResumableUploadView:
def get(self, *args, **kwargs):
"""Checks if chunk has allready been sended."""
<|body_0|>
def post(self, *args, **kwargs):
"""Saves chunks."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResumableUploadView:
def get(self, *args, **kwargs):
"""Checks if chunk has allready been sended."""
try:
r = ResumableFile(self.request.GET, self.request.user)
logger.debug('[GET] Resumable Upload file_name %s part_num %d' % (r.filename, r.part_num))
if r.i... | the_stack_v2_python_sparse | applications/upload_resumable/views.py | zptime/competition | train | 0 | |
eb8198f62e75890c7d3e745ec5a67b0990dffe56 | [
"self._env = env\nself._text = text\nself._filename = filename\nself._defines = {}\nself._private = {}\nparser = TemplateParser(self, text)\nself._nodes = parser.parse()",
"env = self._env\nscope = env._push_scope(True)\ntry:\n if not context is None:\n scope._local.update(context)\n scope._template[... | <|body_start_0|>
self._env = env
self._text = text
self._filename = filename
self._defines = {}
self._private = {}
parser = TemplateParser(self, text)
self._nodes = parser.parse()
<|end_body_0|>
<|body_start_1|>
env = self._env
scope = env._push_s... | Simple template parser and renderer. Extended variable access: {{ expression }} For example: {{ value.subvalue }} {{ value.subvalue | upper }} Loops: {% for var in list %} {% endfor %} Conditions: {% if var %} {% elif var %} {% else %} {% endif %} Comments: {# This is a commend. #} Whitespace control. A "-" after an op... | Template | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Template:
"""Simple template parser and renderer. Extended variable access: {{ expression }} For example: {{ value.subvalue }} {{ value.subvalue | upper }} Loops: {% for var in list %} {% endfor %} Conditions: {% if var %} {% elif var %} {% else %} {% endif %} Comments: {# This is a commend. #} W... | stack_v2_sparse_classes_36k_train_018856 | 1,845 | permissive | [
{
"docstring": "Initialize a template with context variables.",
"name": "__init__",
"signature": "def __init__(self, env, text, filename)"
},
{
"docstring": "Render the template.",
"name": "render",
"signature": "def render(self, renderer, context=None, retvar=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008712 | Implement the Python class `Template` described below.
Class description:
Simple template parser and renderer. Extended variable access: {{ expression }} For example: {{ value.subvalue }} {{ value.subvalue | upper }} Loops: {% for var in list %} {% endfor %} Conditions: {% if var %} {% elif var %} {% else %} {% endif ... | Implement the Python class `Template` described below.
Class description:
Simple template parser and renderer. Extended variable access: {{ expression }} For example: {{ value.subvalue }} {{ value.subvalue | upper }} Loops: {% for var in list %} {% endfor %} Conditions: {% if var %} {% elif var %} {% else %} {% endif ... | 6aeee9b229d3f62aace98a51d9014781bbe6cb52 | <|skeleton|>
class Template:
"""Simple template parser and renderer. Extended variable access: {{ expression }} For example: {{ value.subvalue }} {{ value.subvalue | upper }} Loops: {% for var in list %} {% endfor %} Conditions: {% if var %} {% elif var %} {% else %} {% endif %} Comments: {# This is a commend. #} W... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Template:
"""Simple template parser and renderer. Extended variable access: {{ expression }} For example: {{ value.subvalue }} {{ value.subvalue | upper }} Loops: {% for var in list %} {% endfor %} Conditions: {% if var %} {% elif var %} {% else %} {% endif %} Comments: {# This is a commend. #} Whitespace con... | the_stack_v2_python_sparse | mrbaviirc/template/template.py | brianvanderburg2/mrbaviirc | train | 0 |
8c95cc508bb0943266b64ece7f74f865e20c2a42 | [
"self.assertTrue(type(self.s.c) is list)\nself.assertTrue(type(self.s.c[1]) is dict)\nself.assertTrue(type(self.p.c) is list)\nself.assertTrue(type(self.p.c[1]) is dict)\nself.assertTrue(type(self.p.m['k'][1][2]) is float)",
"Z_0 = numpy.array([0.3, 0.2])\nX_eq, g_eq, phase_eq = phase_equilibrium_calculation(self... | <|body_start_0|>
self.assertTrue(type(self.s.c) is list)
self.assertTrue(type(self.s.c[1]) is dict)
self.assertTrue(type(self.p.c) is list)
self.assertTrue(type(self.p.c[1]) is dict)
self.assertTrue(type(self.p.m['k'][1][2]) is float)
<|end_body_0|>
<|body_start_1|>
Z_0 ... | Test ncomp functions | TestNcompFuncsTern | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestNcompFuncsTern:
"""Test ncomp functions"""
def test_t1(self):
"""State and data class definition"""
<|body_0|>
def test_t2(self):
"""Equil. Mitsos et al. (2007) test 2 tern"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.assertTrue(type... | stack_v2_sparse_classes_36k_train_018857 | 14,154 | no_license | [
{
"docstring": "State and data class definition",
"name": "test_t1",
"signature": "def test_t1(self)"
},
{
"docstring": "Equil. Mitsos et al. (2007) test 2 tern",
"name": "test_t2",
"signature": "def test_t2(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017188 | Implement the Python class `TestNcompFuncsTern` described below.
Class description:
Test ncomp functions
Method signatures and docstrings:
- def test_t1(self): State and data class definition
- def test_t2(self): Equil. Mitsos et al. (2007) test 2 tern | Implement the Python class `TestNcompFuncsTern` described below.
Class description:
Test ncomp functions
Method signatures and docstrings:
- def test_t1(self): State and data class definition
- def test_t2(self): Equil. Mitsos et al. (2007) test 2 tern
<|skeleton|>
class TestNcompFuncsTern:
"""Test ncomp functio... | 91ae76ae50cb46530545b69beaf0fbb4e20450fc | <|skeleton|>
class TestNcompFuncsTern:
"""Test ncomp functions"""
def test_t1(self):
"""State and data class definition"""
<|body_0|>
def test_t2(self):
"""Equil. Mitsos et al. (2007) test 2 tern"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestNcompFuncsTern:
"""Test ncomp functions"""
def test_t1(self):
"""State and data class definition"""
self.assertTrue(type(self.s.c) is list)
self.assertTrue(type(self.s.c[1]) is dict)
self.assertTrue(type(self.p.c) is list)
self.assertTrue(type(self.p.c[1]) is d... | the_stack_v2_python_sparse | ncomp_tests.py | Stefan-Endres/DWPM-Mixture-Model | train | 5 |
188bb051c5b2ebdc2faba23f5ddf63ff2a856ed8 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | A set of methods for managing Cache Service resources. | CacheServiceServicer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CacheServiceServicer:
"""A set of methods for managing Cache Service resources."""
def Purge(self, request, context):
"""Removes specified files from the cache of the specified resource. For details about purging, see [documentation](/docs/cdn/concepts/caching#purge). Purging may tak... | stack_v2_sparse_classes_36k_train_018858 | 4,863 | permissive | [
{
"docstring": "Removes specified files from the cache of the specified resource. For details about purging, see [documentation](/docs/cdn/concepts/caching#purge). Purging may take up to 15 minutes.",
"name": "Purge",
"signature": "def Purge(self, request, context)"
},
{
"docstring": "Uploads sp... | 2 | null | Implement the Python class `CacheServiceServicer` described below.
Class description:
A set of methods for managing Cache Service resources.
Method signatures and docstrings:
- def Purge(self, request, context): Removes specified files from the cache of the specified resource. For details about purging, see [document... | Implement the Python class `CacheServiceServicer` described below.
Class description:
A set of methods for managing Cache Service resources.
Method signatures and docstrings:
- def Purge(self, request, context): Removes specified files from the cache of the specified resource. For details about purging, see [document... | b906a014dd893e2697864e1e48e814a8d9fbc48c | <|skeleton|>
class CacheServiceServicer:
"""A set of methods for managing Cache Service resources."""
def Purge(self, request, context):
"""Removes specified files from the cache of the specified resource. For details about purging, see [documentation](/docs/cdn/concepts/caching#purge). Purging may tak... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CacheServiceServicer:
"""A set of methods for managing Cache Service resources."""
def Purge(self, request, context):
"""Removes specified files from the cache of the specified resource. For details about purging, see [documentation](/docs/cdn/concepts/caching#purge). Purging may take up to 15 mi... | the_stack_v2_python_sparse | yandex/cloud/cdn/v1/cache_service_pb2_grpc.py | yandex-cloud/python-sdk | train | 63 |
c3fd0c2b8cda7614eb66345f4411756675d544bb | [
"if len(ransomNote) > len(magazine):\n return False\nif not ransomNote:\n return True\ndic = defaultdict(int)\nfor i in ransomNote:\n dic[i] += 1\nfor k in dic.keys():\n if magazine.count(k) < dic[k]:\n return False\nreturn True",
"a = dict(collections.Counter(ransomNote))\nfor k, v in a.items(... | <|body_start_0|>
if len(ransomNote) > len(magazine):
return False
if not ransomNote:
return True
dic = defaultdict(int)
for i in ransomNote:
dic[i] += 1
for k in dic.keys():
if magazine.count(k) < dic[k]:
return Fals... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canConstruct(self, ransomNote, magazine):
""":type ransomNote: str :type magazine: str :rtype: bool"""
<|body_0|>
def canConstruct(self, ransomNote, magazine):
""":type ransomNote: str :type magazine: str :rtype: bool"""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k_train_018859 | 869 | no_license | [
{
"docstring": ":type ransomNote: str :type magazine: str :rtype: bool",
"name": "canConstruct",
"signature": "def canConstruct(self, ransomNote, magazine)"
},
{
"docstring": ":type ransomNote: str :type magazine: str :rtype: bool",
"name": "canConstruct",
"signature": "def canConstruct(... | 2 | stack_v2_sparse_classes_30k_train_000398 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canConstruct(self, ransomNote, magazine): :type ransomNote: str :type magazine: str :rtype: bool
- def canConstruct(self, ransomNote, magazine): :type ransomNote: str :type m... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canConstruct(self, ransomNote, magazine): :type ransomNote: str :type magazine: str :rtype: bool
- def canConstruct(self, ransomNote, magazine): :type ransomNote: str :type m... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Solution:
def canConstruct(self, ransomNote, magazine):
""":type ransomNote: str :type magazine: str :rtype: bool"""
<|body_0|>
def canConstruct(self, ransomNote, magazine):
""":type ransomNote: str :type magazine: str :rtype: bool"""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canConstruct(self, ransomNote, magazine):
""":type ransomNote: str :type magazine: str :rtype: bool"""
if len(ransomNote) > len(magazine):
return False
if not ransomNote:
return True
dic = defaultdict(int)
for i in ransomNote:
... | the_stack_v2_python_sparse | 0383_Ransom_Note.py | bingli8802/leetcode | train | 0 | |
b7680f91ee08ad2511d800185003dd2aa1478200 | [
"if not strs:\n return ''\nidx = 0\nfor chars in zip(*strs):\n if len(set(chars)) != 1:\n return strs[0][:idx]\n idx += 1\nreturn strs[0][:idx]",
"ret = ''\nfor chars in zip(*strs):\n if len(set(chars)) == 1:\n ret += chars[0]\n else:\n return ret\nreturn ret",
"if not strs:\... | <|body_start_0|>
if not strs:
return ''
idx = 0
for chars in zip(*strs):
if len(set(chars)) != 1:
return strs[0][:idx]
idx += 1
return strs[0][:idx]
<|end_body_0|>
<|body_start_1|>
ret = ''
for chars in zip(*strs):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_0|>
def longestCommonPrefixMe(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_1|>
def longestCommonPrefixOld(self, strs):
""":type strs: Lis... | stack_v2_sparse_classes_36k_train_018860 | 1,218 | no_license | [
{
"docstring": ":type strs: List[str] :rtype: str",
"name": "longestCommonPrefix",
"signature": "def longestCommonPrefix(self, strs)"
},
{
"docstring": ":type strs: List[str] :rtype: str",
"name": "longestCommonPrefixMe",
"signature": "def longestCommonPrefixMe(self, strs)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_016718 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonPrefix(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefixMe(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefixOld(sel... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonPrefix(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefixMe(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefixOld(sel... | ac53dd9bf2c4c9d17c9dc5f7fdda32e386658fdd | <|skeleton|>
class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_0|>
def longestCommonPrefixMe(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_1|>
def longestCommonPrefixOld(self, strs):
""":type strs: Lis... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
if not strs:
return ''
idx = 0
for chars in zip(*strs):
if len(set(chars)) != 1:
return strs[0][:idx]
idx += 1
return strs[0][:idx]... | the_stack_v2_python_sparse | cs_notes/string/longest_common_prefix.py | hwc1824/LeetCodeSolution | train | 0 | |
90315a0baf1c422e9797f94c4e0ed8ffed50c51d | [
"if not intervals:\n return []\nintervals.sort(key=lambda x: x.start)\noutput = []\ncurrent_interval = Interval(intervals[0].start, intervals[0].end)\nfor interval in intervals[1:]:\n if interval.start > current_interval.end:\n output.append(current_interval)\n current_interval = Interval(interv... | <|body_start_0|>
if not intervals:
return []
intervals.sort(key=lambda x: x.start)
output = []
current_interval = Interval(intervals[0].start, intervals[0].end)
for interval in intervals[1:]:
if interval.start > current_interval.end:
output... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_0|>
def merge_verbose(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_018861 | 2,933 | no_license | [
{
"docstring": ":type intervals: List[Interval] :rtype: List[Interval]",
"name": "merge",
"signature": "def merge(self, intervals)"
},
{
"docstring": ":type intervals: List[Interval] :rtype: List[Interval]",
"name": "merge_verbose",
"signature": "def merge_verbose(self, intervals)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001965 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, intervals): :type intervals: List[Interval] :rtype: List[Interval]
- def merge_verbose(self, intervals): :type intervals: List[Interval] :rtype: List[Interval] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, intervals): :type intervals: List[Interval] :rtype: List[Interval]
- def merge_verbose(self, intervals): :type intervals: List[Interval] :rtype: List[Interval]
<... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def merge(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_0|>
def merge_verbose(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def merge(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
if not intervals:
return []
intervals.sort(key=lambda x: x.start)
output = []
current_interval = Interval(intervals[0].start, intervals[0].end)
for int... | the_stack_v2_python_sparse | src/lt_56.py | oxhead/CodingYourWay | train | 0 | |
633424fd027137cd23d1f404febdc743bb0b682e | [
"super(SPP, self).__init__()\nac_type = cfg.SPP.ACTIVATION_FN\nself.conv1 = ConvBnActivation(1024, 512, 1, 1, 0, ac_type)\nself.conv2 = ConvBnActivation(512, 1024, 3, 1, 1, ac_type)\nself.conv3 = ConvBnActivation(1024, 512, 1, 1, 0, ac_type)\nself.pool1 = nn.MaxPool2d(kernel_size=5, stride=1, padding=2)\nself.pool2... | <|body_start_0|>
super(SPP, self).__init__()
ac_type = cfg.SPP.ACTIVATION_FN
self.conv1 = ConvBnActivation(1024, 512, 1, 1, 0, ac_type)
self.conv2 = ConvBnActivation(512, 1024, 3, 1, 1, ac_type)
self.conv3 = ConvBnActivation(1024, 512, 1, 1, 0, ac_type)
self.pool1 = nn.Ma... | 空间金字塔池化 | SPP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SPP:
"""空间金字塔池化"""
def __init__(self, cfg):
"""Args: cfg: 配置文件"""
<|body_0|>
def forward(self, x1, x2, x3):
"""对尺寸最低的features进行三次池化, 对池化结果进行concat"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(SPP, self).__init__()
ac_type = cfg.... | stack_v2_sparse_classes_36k_train_018862 | 1,412 | no_license | [
{
"docstring": "Args: cfg: 配置文件",
"name": "__init__",
"signature": "def __init__(self, cfg)"
},
{
"docstring": "对尺寸最低的features进行三次池化, 对池化结果进行concat",
"name": "forward",
"signature": "def forward(self, x1, x2, x3)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012185 | Implement the Python class `SPP` described below.
Class description:
空间金字塔池化
Method signatures and docstrings:
- def __init__(self, cfg): Args: cfg: 配置文件
- def forward(self, x1, x2, x3): 对尺寸最低的features进行三次池化, 对池化结果进行concat | Implement the Python class `SPP` described below.
Class description:
空间金字塔池化
Method signatures and docstrings:
- def __init__(self, cfg): Args: cfg: 配置文件
- def forward(self, x1, x2, x3): 对尺寸最低的features进行三次池化, 对池化结果进行concat
<|skeleton|>
class SPP:
"""空间金字塔池化"""
def __init__(self, cfg):
"""Args: cfg: ... | b28636c6b13466049d1b21234e21781129c5f7a2 | <|skeleton|>
class SPP:
"""空间金字塔池化"""
def __init__(self, cfg):
"""Args: cfg: 配置文件"""
<|body_0|>
def forward(self, x1, x2, x3):
"""对尺寸最低的features进行三次池化, 对池化结果进行concat"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SPP:
"""空间金字塔池化"""
def __init__(self, cfg):
"""Args: cfg: 配置文件"""
super(SPP, self).__init__()
ac_type = cfg.SPP.ACTIVATION_FN
self.conv1 = ConvBnActivation(1024, 512, 1, 1, 0, ac_type)
self.conv2 = ConvBnActivation(512, 1024, 3, 1, 1, ac_type)
self.conv3 = ... | the_stack_v2_python_sparse | yolo/neck/spp.py | YohannXu/pytorch_yolov4 | train | 1 |
ecbbbbc5678abdd8e0bad3100db233323baa7561 | [
"rows, cols = (len(matrix), len(matrix[0]))\ndp = [[0 for j in range(cols)] for i in range(rows)]\ndp[0][0] = matrix[0][0]\nfor j in range(1, cols):\n dp[0][j] = dp[0][j - 1] + matrix[0][j]\nfor i in range(1, rows):\n dp[i][0] = dp[i][0] + matrix[i][0]\nfor i in range(1, rows):\n for j in range(1, cols):\n... | <|body_start_0|>
rows, cols = (len(matrix), len(matrix[0]))
dp = [[0 for j in range(cols)] for i in range(rows)]
dp[0][0] = matrix[0][0]
for j in range(1, cols):
dp[0][j] = dp[0][j - 1] + matrix[0][j]
for i in range(1, rows):
dp[i][0] = dp[i][0] + matrix[i... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minPathSum(self, matrix):
"""动态规划：自顶向下，建立二维矩阵"""
<|body_0|>
def minPathSum2(self, matrix):
"""动态规划：自顶向下，建立一维矩阵——节省内存消耗"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
rows, cols = (len(matrix), len(matrix[0]))
dp = [[0 for j in... | stack_v2_sparse_classes_36k_train_018863 | 2,507 | no_license | [
{
"docstring": "动态规划：自顶向下，建立二维矩阵",
"name": "minPathSum",
"signature": "def minPathSum(self, matrix)"
},
{
"docstring": "动态规划：自顶向下，建立一维矩阵——节省内存消耗",
"name": "minPathSum2",
"signature": "def minPathSum2(self, matrix)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000366 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum(self, matrix): 动态规划：自顶向下，建立二维矩阵
- def minPathSum2(self, matrix): 动态规划：自顶向下，建立一维矩阵——节省内存消耗 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum(self, matrix): 动态规划：自顶向下，建立二维矩阵
- def minPathSum2(self, matrix): 动态规划：自顶向下，建立一维矩阵——节省内存消耗
<|skeleton|>
class Solution:
def minPathSum(self, matrix):
... | 4e4f739402b95691f6c91411da26d7d3bfe042b6 | <|skeleton|>
class Solution:
def minPathSum(self, matrix):
"""动态规划：自顶向下，建立二维矩阵"""
<|body_0|>
def minPathSum2(self, matrix):
"""动态规划：自顶向下，建立一维矩阵——节省内存消耗"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minPathSum(self, matrix):
"""动态规划：自顶向下，建立二维矩阵"""
rows, cols = (len(matrix), len(matrix[0]))
dp = [[0 for j in range(cols)] for i in range(rows)]
dp[0][0] = matrix[0][0]
for j in range(1, cols):
dp[0][j] = dp[0][j - 1] + matrix[0][j]
for... | the_stack_v2_python_sparse | leetcode/64.最短路径和.py | hugechuanqi/Algorithms-and-Data-Structures | train | 3 | |
e78985733443a28033ee1b07d656ca07809b5506 | [
"train_indices = np.where(train_mask)[0]\ntest_indices = np.where(test_mask)[0]\nval_indices = np.where(val_mask)[0]\nunlabeled_mask = np.logical_not(train_mask | test_mask | val_mask)\nunlabeled_indices = np.where(unlabeled_mask)[0]\nif row_normalize:\n features = PlanetoidDataset.preprocess_features(features)\... | <|body_start_0|>
train_indices = np.where(train_mask)[0]
test_indices = np.where(test_mask)[0]
val_indices = np.where(val_mask)[0]
unlabeled_mask = np.logical_not(train_mask | test_mask | val_mask)
unlabeled_indices = np.where(unlabeled_mask)[0]
if row_normalize:
... | Data container for Planetoid datasets. | PlanetoidDataset | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlanetoidDataset:
"""Data container for Planetoid datasets."""
def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False):
"""Build from adjacency matrix."""
<|body_0|>
def preprocess_features(features):
"""... | stack_v2_sparse_classes_36k_train_018864 | 32,682 | permissive | [
{
"docstring": "Build from adjacency matrix.",
"name": "build_from_adjacency_matrix",
"signature": "def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False)"
},
{
"docstring": "Row-normalize feature matrix.",
"name": "preprocess_featu... | 2 | null | Implement the Python class `PlanetoidDataset` described below.
Class description:
Data container for Planetoid datasets.
Method signatures and docstrings:
- def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False): Build from adjacency matrix.
- def preprocess... | Implement the Python class `PlanetoidDataset` described below.
Class description:
Data container for Planetoid datasets.
Method signatures and docstrings:
- def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False): Build from adjacency matrix.
- def preprocess... | 995064233479e806a3187ede8a395319520db75e | <|skeleton|>
class PlanetoidDataset:
"""Data container for Planetoid datasets."""
def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False):
"""Build from adjacency matrix."""
<|body_0|>
def preprocess_features(features):
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PlanetoidDataset:
"""Data container for Planetoid datasets."""
def build_from_adjacency_matrix(name, adj, features, train_mask, val_mask, test_mask, labels, row_normalize=False):
"""Build from adjacency matrix."""
train_indices = np.where(train_mask)[0]
test_indices = np.where(tes... | the_stack_v2_python_sparse | research/gam/gam/data/dataset.py | RubensZimbres/neural-structured-learning | train | 1 |
d223d1b46c524734f9d1613f821b143e6909a891 | [
"if stdin is None:\n stdin = sys.stdin.fileno()\nelif hasattr(stdin, 'fileno'):\n stdin = stdin.fileno()\nif stdout is None:\n stdout = sys.stdout.fileno()\nelif hasattr(stdout, 'fileno'):\n stdout = stdout.fileno()\nwith self._client() as podman:\n attach = podman.GetAttachSockets(self._id)\nio_sock... | <|body_start_0|>
if stdin is None:
stdin = sys.stdin.fileno()
elif hasattr(stdin, 'fileno'):
stdin = stdin.fileno()
if stdout is None:
stdout = sys.stdout.fileno()
elif hasattr(stdout, 'fileno'):
stdout = stdout.fileno()
with self._... | Publish attach() for inclusion in Container class. | Mixin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Mixin:
"""Publish attach() for inclusion in Container class."""
def attach(self, eot=4, stdin=None, stdout=None):
"""Attach to container's PID1 stdin and stdout. stderr is ignored. PseudoTTY work is done in start()."""
<|body_0|>
def resize_handler(self):
"""Send... | stack_v2_sparse_classes_36k_train_018865 | 2,635 | permissive | [
{
"docstring": "Attach to container's PID1 stdin and stdout. stderr is ignored. PseudoTTY work is done in start().",
"name": "attach",
"signature": "def attach(self, eot=4, stdin=None, stdout=None)"
},
{
"docstring": "Send the new window size to conmon.",
"name": "resize_handler",
"signa... | 3 | stack_v2_sparse_classes_30k_test_000355 | Implement the Python class `Mixin` described below.
Class description:
Publish attach() for inclusion in Container class.
Method signatures and docstrings:
- def attach(self, eot=4, stdin=None, stdout=None): Attach to container's PID1 stdin and stdout. stderr is ignored. PseudoTTY work is done in start().
- def resiz... | Implement the Python class `Mixin` described below.
Class description:
Publish attach() for inclusion in Container class.
Method signatures and docstrings:
- def attach(self, eot=4, stdin=None, stdout=None): Attach to container's PID1 stdin and stdout. stderr is ignored. PseudoTTY work is done in start().
- def resiz... | ce2a8734f8b4203ec38078207297062263c49f6f | <|skeleton|>
class Mixin:
"""Publish attach() for inclusion in Container class."""
def attach(self, eot=4, stdin=None, stdout=None):
"""Attach to container's PID1 stdin and stdout. stderr is ignored. PseudoTTY work is done in start()."""
<|body_0|>
def resize_handler(self):
"""Send... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Mixin:
"""Publish attach() for inclusion in Container class."""
def attach(self, eot=4, stdin=None, stdout=None):
"""Attach to container's PID1 stdin and stdout. stderr is ignored. PseudoTTY work is done in start()."""
if stdin is None:
stdin = sys.stdin.fileno()
elif ... | the_stack_v2_python_sparse | tobiko/podman/_podman1/libs/_containers_attach.py | FedericoRessi/tobiko | train | 1 |
c26dc6d34e53f270c2dc26db54fedc93cb92aa72 | [
"self.label = label\nself.suggestion = suggestion\nself.key = key",
"if isinstance(val, str):\n obj = JsonToObj(val)\nelse:\n assert isinstance(val, type)\n obj = val\nreturn SearchField(obj.label, obj.suggestion, obj.key)"
] | <|body_start_0|>
self.label = label
self.suggestion = suggestion
self.key = key
<|end_body_0|>
<|body_start_1|>
if isinstance(val, str):
obj = JsonToObj(val)
else:
assert isinstance(val, type)
obj = val
return SearchField(obj.label, ob... | Object used for serializing search definitions. | SearchField | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SearchField:
"""Object used for serializing search definitions."""
def __init__(self, label=None, suggestion=None, key=None):
"""Inits SearchField object."""
<|body_0|>
def Deserialize(val):
"""Deserializes value as SearchField object. Args: val: json formatted s... | stack_v2_sparse_classes_36k_train_018866 | 10,689 | permissive | [
{
"docstring": "Inits SearchField object.",
"name": "__init__",
"signature": "def __init__(self, label=None, suggestion=None, key=None)"
},
{
"docstring": "Deserializes value as SearchField object. Args: val: json formatted string or dictionary. Returns: SearchField object.",
"name": "Deseri... | 2 | null | Implement the Python class `SearchField` described below.
Class description:
Object used for serializing search definitions.
Method signatures and docstrings:
- def __init__(self, label=None, suggestion=None, key=None): Inits SearchField object.
- def Deserialize(val): Deserializes value as SearchField object. Args: ... | Implement the Python class `SearchField` described below.
Class description:
Object used for serializing search definitions.
Method signatures and docstrings:
- def __init__(self, label=None, suggestion=None, key=None): Inits SearchField object.
- def Deserialize(val): Deserializes value as SearchField object. Args: ... | f7ea83f769485d9c28021b951fec8f15f641b16c | <|skeleton|>
class SearchField:
"""Object used for serializing search definitions."""
def __init__(self, label=None, suggestion=None, key=None):
"""Inits SearchField object."""
<|body_0|>
def Deserialize(val):
"""Deserializes value as SearchField object. Args: val: json formatted s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SearchField:
"""Object used for serializing search definitions."""
def __init__(self, label=None, suggestion=None, key=None):
"""Inits SearchField object."""
self.label = label
self.suggestion = suggestion
self.key = key
def Deserialize(val):
"""Deserializes v... | the_stack_v2_python_sparse | earth_enterprise/src/server/wsgi/serve/basic_types.py | tst-ccamp/earthenterprise | train | 2 |
ebd0e1f9feb865beb907970863d30739b7c3ab7a | [
"if len(results) == 0:\n return False\nelse:\n tempList = results[0].fetchall()\n final = []\n for i in tempList:\n final.append(listvalues(i)[0])\n return final",
"if limitRows:\n extraSql = self.limit_sql % limitRows\nelse:\n extraSql = ''\nif state is None:\n result = self.dbi.pr... | <|body_start_0|>
if len(results) == 0:
return False
else:
tempList = results[0].fetchall()
final = []
for i in tempList:
final.append(listvalues(i)[0])
return final
<|end_body_0|>
<|body_start_1|>
if limitRows:
... | _GetLocation_ Retrieve all files that are associated with the given job from the database. | GetAllJobs | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetAllJobs:
"""_GetLocation_ Retrieve all files that are associated with the given job from the database."""
def format(self, results):
"""_formatDict_ Cast the file attribute to an integer, and also handle changing the column name in Oracle from FILEID to FILE."""
<|body_0|>... | stack_v2_sparse_classes_36k_train_018867 | 2,550 | permissive | [
{
"docstring": "_formatDict_ Cast the file attribute to an integer, and also handle changing the column name in Oracle from FILEID to FILE.",
"name": "format",
"signature": "def format(self, results)"
},
{
"docstring": "_execute_ Execute the SQL for the given job ID and then format and return th... | 2 | null | Implement the Python class `GetAllJobs` described below.
Class description:
_GetLocation_ Retrieve all files that are associated with the given job from the database.
Method signatures and docstrings:
- def format(self, results): _formatDict_ Cast the file attribute to an integer, and also handle changing the column ... | Implement the Python class `GetAllJobs` described below.
Class description:
_GetLocation_ Retrieve all files that are associated with the given job from the database.
Method signatures and docstrings:
- def format(self, results): _formatDict_ Cast the file attribute to an integer, and also handle changing the column ... | de110ccf6fc63ef5589b4e871ef4d51d5bce7a25 | <|skeleton|>
class GetAllJobs:
"""_GetLocation_ Retrieve all files that are associated with the given job from the database."""
def format(self, results):
"""_formatDict_ Cast the file attribute to an integer, and also handle changing the column name in Oracle from FILEID to FILE."""
<|body_0|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GetAllJobs:
"""_GetLocation_ Retrieve all files that are associated with the given job from the database."""
def format(self, results):
"""_formatDict_ Cast the file attribute to an integer, and also handle changing the column name in Oracle from FILEID to FILE."""
if len(results) == 0:
... | the_stack_v2_python_sparse | src/python/WMCore/WMBS/MySQL/Jobs/GetAllJobs.py | vkuznet/WMCore | train | 0 |
8d46ebc4d5c8160b8f352f3d26cd960d0422e4fe | [
"if file_resources is None:\n file_resources = {}\n file_resources['curated_gene_disease_associations.tsv'] = 'curated_gene_disease_associations.tsv.gz'\n file_resources['all_gene_disease_associations.tsv'] = 'all_gene_disease_associations.tsv.gz'\nself.curated = curated\nsuper().__init__(path, file_resour... | <|body_start_0|>
if file_resources is None:
file_resources = {}
file_resources['curated_gene_disease_associations.tsv'] = 'curated_gene_disease_associations.tsv.gz'
file_resources['all_gene_disease_associations.tsv'] = 'all_gene_disease_associations.tsv.gz'
self.curat... | Loads the database from . Default path: . Default file_resources: { "": "", "": "", "": "", } | DisGeNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DisGeNet:
"""Loads the database from . Default path: . Default file_resources: { "": "", "": "", "": "", }"""
def __init__(self, path='https://www.disgenet.org/static/disgenet_ap1/files/downloads/', file_resources=None, curated=True, col_rename=COLUMNS_RENAME_DICT, **kwargs):
"""Args... | stack_v2_sparse_classes_36k_train_018868 | 6,117 | permissive | [
{
"docstring": "Args: path: file_resources: curated: col_rename: **kwargs:",
"name": "__init__",
"signature": "def __init__(self, path='https://www.disgenet.org/static/disgenet_ap1/files/downloads/', file_resources=None, curated=True, col_rename=COLUMNS_RENAME_DICT, **kwargs)"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_006633 | Implement the Python class `DisGeNet` described below.
Class description:
Loads the database from . Default path: . Default file_resources: { "": "", "": "", "": "", }
Method signatures and docstrings:
- def __init__(self, path='https://www.disgenet.org/static/disgenet_ap1/files/downloads/', file_resources=None, cura... | Implement the Python class `DisGeNet` described below.
Class description:
Loads the database from . Default path: . Default file_resources: { "": "", "": "", "": "", }
Method signatures and docstrings:
- def __init__(self, path='https://www.disgenet.org/static/disgenet_ap1/files/downloads/', file_resources=None, cura... | 35a0e00964c9b308f831263936f9507a69f52613 | <|skeleton|>
class DisGeNet:
"""Loads the database from . Default path: . Default file_resources: { "": "", "": "", "": "", }"""
def __init__(self, path='https://www.disgenet.org/static/disgenet_ap1/files/downloads/', file_resources=None, curated=True, col_rename=COLUMNS_RENAME_DICT, **kwargs):
"""Args... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DisGeNet:
"""Loads the database from . Default path: . Default file_resources: { "": "", "": "", "": "", }"""
def __init__(self, path='https://www.disgenet.org/static/disgenet_ap1/files/downloads/', file_resources=None, curated=True, col_rename=COLUMNS_RENAME_DICT, **kwargs):
"""Args: path: file_... | the_stack_v2_python_sparse | openomics/database/disease.py | JonnyTran/OpenOmics | train | 8 |
3bd441f462a7eb76665697e83b18b49416109305 | [
"if isinstance(node.op, ast.Or):\n return self.visit_mutation_site(node, len(node.values))\nreturn node",
"if idx and len(node.values) > 2:\n left_list = node.values[:idx - 1]\n right_list = node.values[idx + 1:]\n left = node.values[idx - 1]\n right = node.values[idx]\n new_node = ast.BoolOp(op... | <|body_start_0|>
if isinstance(node.op, ast.Or):
return self.visit_mutation_site(node, len(node.values))
return node
<|end_body_0|>
<|body_start_1|>
if idx and len(node.values) > 2:
left_list = node.values[:idx - 1]
right_list = node.values[idx + 1:]
... | An operator that swaps 'or' with 'and'. | ReplaceOrWithAnd | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReplaceOrWithAnd:
"""An operator that swaps 'or' with 'and'."""
def visit_BoolOp(self, node):
"""http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp"""
<|body_0|>
def mutate(self, node, idx):
"""Replace OR with AND."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k_train_018869 | 4,264 | permissive | [
{
"docstring": "http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp",
"name": "visit_BoolOp",
"signature": "def visit_BoolOp(self, node)"
},
{
"docstring": "Replace OR with AND.",
"name": "mutate",
"signature": "def mutate(self, node, idx)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000969 | Implement the Python class `ReplaceOrWithAnd` described below.
Class description:
An operator that swaps 'or' with 'and'.
Method signatures and docstrings:
- def visit_BoolOp(self, node): http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp
- def mutate(self, node, idx): Replace OR with AND. | Implement the Python class `ReplaceOrWithAnd` described below.
Class description:
An operator that swaps 'or' with 'and'.
Method signatures and docstrings:
- def visit_BoolOp(self, node): http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp
- def mutate(self, node, idx): Replace OR with AND.
<|skeleton|... | 0d5ba9c773299385195f6c32e5bf4de55d3494a6 | <|skeleton|>
class ReplaceOrWithAnd:
"""An operator that swaps 'or' with 'and'."""
def visit_BoolOp(self, node):
"""http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp"""
<|body_0|>
def mutate(self, node, idx):
"""Replace OR with AND."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReplaceOrWithAnd:
"""An operator that swaps 'or' with 'and'."""
def visit_BoolOp(self, node):
"""http://greentreesnakes.readthedocs.io/en/latest/nodes.html#BoolOp"""
if isinstance(node.op, ast.Or):
return self.visit_mutation_site(node, len(node.values))
return node
... | the_stack_v2_python_sparse | cosmic_ray/operators/boolean_replacer.py | sobolevn/cosmic-ray | train | 0 |
358a703907879d29cd734950e558ceb68d0284ff | [
"temp_method = ps7.StandardRobot.setRobotDirection\nself.count = 0\n\ndef custom_method(*args):\n self.count += 1\n return temp_method(*args)\nps7.StandardRobot.setRobotDirection = custom_method\nroom = ps7.RectangularRoom(8, 8)\nrobot = ps7.StandardRobot(room, 1.0)\nfor _ in range(room.getNumTiles()):\n r... | <|body_start_0|>
temp_method = ps7.StandardRobot.setRobotDirection
self.count = 0
def custom_method(*args):
self.count += 1
return temp_method(*args)
ps7.StandardRobot.setRobotDirection = custom_method
room = ps7.RectangularRoom(8, 8)
robot = ps7.... | Problem_2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Problem_2:
def test_1(self):
"""-Check if the direction is being changed a single time in updatePositionAndClean() method -Check if the setRobotDirection() method is being called on the updatePositionAndClean() method"""
<|body_0|>
def test_2(self):
"""-Check if the ... | stack_v2_sparse_classes_36k_train_018870 | 9,715 | no_license | [
{
"docstring": "-Check if the direction is being changed a single time in updatePositionAndClean() method -Check if the setRobotDirection() method is being called on the updatePositionAndClean() method",
"name": "test_1",
"signature": "def test_1(self)"
},
{
"docstring": "-Check if the robot is ... | 3 | null | Implement the Python class `Problem_2` described below.
Class description:
Implement the Problem_2 class.
Method signatures and docstrings:
- def test_1(self): -Check if the direction is being changed a single time in updatePositionAndClean() method -Check if the setRobotDirection() method is being called on the upda... | Implement the Python class `Problem_2` described below.
Class description:
Implement the Problem_2 class.
Method signatures and docstrings:
- def test_1(self): -Check if the direction is being changed a single time in updatePositionAndClean() method -Check if the setRobotDirection() method is being called on the upda... | 5aa496a71d36ffb9892ee6e377bd9f5d0d8e03a0 | <|skeleton|>
class Problem_2:
def test_1(self):
"""-Check if the direction is being changed a single time in updatePositionAndClean() method -Check if the setRobotDirection() method is being called on the updatePositionAndClean() method"""
<|body_0|>
def test_2(self):
"""-Check if the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Problem_2:
def test_1(self):
"""-Check if the direction is being changed a single time in updatePositionAndClean() method -Check if the setRobotDirection() method is being called on the updatePositionAndClean() method"""
temp_method = ps7.StandardRobot.setRobotDirection
self.count = 0
... | the_stack_v2_python_sparse | pstTestingCode.py | KarenWest/pythonClassProjects | train | 1 | |
a1985af3fd7ab6331761630e066f5825900bbe66 | [
"ns1 = self.store('http://example.com/')\nns1.get_bboard('test')['flag'] = True\nns2 = self.store('http://example.com/')\nassert ns1.get_bboard('test')['flag'] == True",
"must_have = [('', 'http://example.com/', 1000), ('', 'http://example.net/', 1000), ('', 'http://pythoninfo.wiki/', 1000)]\nresult = self.store.... | <|body_start_0|>
ns1 = self.store('http://example.com/')
ns1.get_bboard('test')['flag'] = True
ns2 = self.store('http://example.com/')
assert ns1.get_bboard('test')['flag'] == True
<|end_body_0|>
<|body_start_1|>
must_have = [('', 'http://example.com/', 1000), ('', 'http://examp... | Test the test namespace description Store. It feels a bit silly to test a test store, and perhaps it is. But there are other tests that are going to rely on the TestStore, and I want to make sure that it's actually working like I think it does. DOC DOC | StoreTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StoreTest:
"""Test the test namespace description Store. It feels a bit silly to test a test store, and perhaps it is. But there are other tests that are going to rely on the TestStore, and I want to make sure that it's actually working like I think it does. DOC DOC"""
def testCaching(self):... | stack_v2_sparse_classes_36k_train_018871 | 34,773 | no_license | [
{
"docstring": "Make sure that the store is caching namespaces.",
"name": "testCaching",
"signature": "def testCaching(self)"
},
{
"docstring": "Make sure that get_cache_list works.",
"name": "testCacheList",
"signature": "def testCacheList(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018339 | Implement the Python class `StoreTest` described below.
Class description:
Test the test namespace description Store. It feels a bit silly to test a test store, and perhaps it is. But there are other tests that are going to rely on the TestStore, and I want to make sure that it's actually working like I think it does.... | Implement the Python class `StoreTest` described below.
Class description:
Test the test namespace description Store. It feels a bit silly to test a test store, and perhaps it is. But there are other tests that are going to rely on the TestStore, and I want to make sure that it's actually working like I think it does.... | da65d948b346d3f455e79168a8753b2b16d8fc5f | <|skeleton|>
class StoreTest:
"""Test the test namespace description Store. It feels a bit silly to test a test store, and perhaps it is. But there are other tests that are going to rely on the TestStore, and I want to make sure that it's actually working like I think it does. DOC DOC"""
def testCaching(self):... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StoreTest:
"""Test the test namespace description Store. It feels a bit silly to test a test store, and perhaps it is. But there are other tests that are going to rely on the TestStore, and I want to make sure that it's actually working like I think it does. DOC DOC"""
def testCaching(self):
"""M... | the_stack_v2_python_sparse | pre2007/lncore/test.py | BackupTheBerlios/onebigsoup-svn | train | 0 |
11a72443dfdce4db6dd71ccd35e37422d9a7c62d | [
"if value is self.field.missing_value:\n return []\nconverter = self._get_converter(self.field.value_type)\nreturn [converter.to_widget_value(v) for v in value]",
"if len(value) == 0:\n return self.field.missing_value\nconverter = self._get_converter(self.field.value_type)\nvalues = [converter.to_field_valu... | <|body_start_0|>
if value is self.field.missing_value:
return []
converter = self._get_converter(self.field.value_type)
return [converter.to_widget_value(v) for v in value]
<|end_body_0|>
<|body_start_1|>
if len(value) == 0:
return self.field.missing_value
... | Data converter for IMultiWidget. | MultiConverter | [
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiConverter:
"""Data converter for IMultiWidget."""
def to_widget_value(self, value):
"""Just dispatch it."""
<|body_0|>
def to_field_value(self, value):
"""Just dispatch it."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if value is self.fi... | stack_v2_sparse_classes_36k_train_018872 | 16,755 | permissive | [
{
"docstring": "Just dispatch it.",
"name": "to_widget_value",
"signature": "def to_widget_value(self, value)"
},
{
"docstring": "Just dispatch it.",
"name": "to_field_value",
"signature": "def to_field_value(self, value)"
}
] | 2 | null | Implement the Python class `MultiConverter` described below.
Class description:
Data converter for IMultiWidget.
Method signatures and docstrings:
- def to_widget_value(self, value): Just dispatch it.
- def to_field_value(self, value): Just dispatch it. | Implement the Python class `MultiConverter` described below.
Class description:
Data converter for IMultiWidget.
Method signatures and docstrings:
- def to_widget_value(self, value): Just dispatch it.
- def to_field_value(self, value): Just dispatch it.
<|skeleton|>
class MultiConverter:
"""Data converter for IM... | e83e2ce314355f98eaf66e90ad6feccbda7934f9 | <|skeleton|>
class MultiConverter:
"""Data converter for IMultiWidget."""
def to_widget_value(self, value):
"""Just dispatch it."""
<|body_0|>
def to_field_value(self, value):
"""Just dispatch it."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiConverter:
"""Data converter for IMultiWidget."""
def to_widget_value(self, value):
"""Just dispatch it."""
if value is self.field.missing_value:
return []
converter = self._get_converter(self.field.value_type)
return [converter.to_widget_value(v) for v in... | the_stack_v2_python_sparse | src/pyams_form/converter.py | Py-AMS/pyams-form | train | 0 |
8e22dc5fc37206bed3caa2dc815598852c1a32dd | [
"self.grad_U = None\nself.grad_W = None\nself.grad_b = None\nself.grad_V = None\nself.grad_c = None\nself.grad_U_2 = np.zeros((m, K))\nself.grad_W_2 = np.zeros((m, m))\nself.grad_b_2 = np.zeros((m, 1))\nself.grad_V_2 = np.zeros((K, m))\nself.grad_c_2 = np.zeros((K, 1))",
"self.grad_U = grad_U\nself.grad_W = grad_... | <|body_start_0|>
self.grad_U = None
self.grad_W = None
self.grad_b = None
self.grad_V = None
self.grad_c = None
self.grad_U_2 = np.zeros((m, K))
self.grad_W_2 = np.zeros((m, m))
self.grad_b_2 = np.zeros((m, 1))
self.grad_V_2 = np.zeros((K, m))
... | AdaGrad | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdaGrad:
def __init__(self, K, m):
"""[AdaGrad initialization.] Arguments: K {[int]} -- [dimension of the output] m {[int]} -- [dimension of the hidden state]"""
<|body_0|>
def update(self, grad_U, grad_W, grad_b, grad_V, grad_c):
"""[Updates the states of Adagrad] A... | stack_v2_sparse_classes_36k_train_018873 | 19,053 | no_license | [
{
"docstring": "[AdaGrad initialization.] Arguments: K {[int]} -- [dimension of the output] m {[int]} -- [dimension of the hidden state]",
"name": "__init__",
"signature": "def __init__(self, K, m)"
},
{
"docstring": "[Updates the states of Adagrad] Arguments: grad_U {[mxJ]} -- [] grad_W {[mxm]}... | 3 | null | Implement the Python class `AdaGrad` described below.
Class description:
Implement the AdaGrad class.
Method signatures and docstrings:
- def __init__(self, K, m): [AdaGrad initialization.] Arguments: K {[int]} -- [dimension of the output] m {[int]} -- [dimension of the hidden state]
- def update(self, grad_U, grad_W... | Implement the Python class `AdaGrad` described below.
Class description:
Implement the AdaGrad class.
Method signatures and docstrings:
- def __init__(self, K, m): [AdaGrad initialization.] Arguments: K {[int]} -- [dimension of the output] m {[int]} -- [dimension of the hidden state]
- def update(self, grad_U, grad_W... | 26de9802912415f5ecb85b8ede816cd5ede50e7b | <|skeleton|>
class AdaGrad:
def __init__(self, K, m):
"""[AdaGrad initialization.] Arguments: K {[int]} -- [dimension of the output] m {[int]} -- [dimension of the hidden state]"""
<|body_0|>
def update(self, grad_U, grad_W, grad_b, grad_V, grad_c):
"""[Updates the states of Adagrad] A... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdaGrad:
def __init__(self, K, m):
"""[AdaGrad initialization.] Arguments: K {[int]} -- [dimension of the output] m {[int]} -- [dimension of the hidden state]"""
self.grad_U = None
self.grad_W = None
self.grad_b = None
self.grad_V = None
self.grad_c = None
... | the_stack_v2_python_sparse | DD2424-Deep-Learning/Lab4/Code/Harry Potter and the Goblet of Fire/Lab4_basic_code.py | jotix16/Courses | train | 0 | |
5317b4c57bc71ded0332d2b864c2663a726d4f1d | [
"self.activity_id = activity_id\nself.object_id = object_id\nself.uri = uri",
"result = {'activity_id': self.activity_id}\nif self.object_id:\n result['object_id'] = self.object_id\nif self.uri:\n result['uri'] = self.uri\nreturn result"
] | <|body_start_0|>
self.activity_id = activity_id
self.object_id = object_id
self.uri = uri
<|end_body_0|>
<|body_start_1|>
result = {'activity_id': self.activity_id}
if self.object_id:
result['object_id'] = self.object_id
if self.uri:
result['uri']... | Data structure storing simple activity metadata | ActivityHandle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActivityHandle:
"""Data structure storing simple activity metadata"""
def __init__(self, activity_id=None, object_id=None, uri=None):
"""Initialise the handle from activity_id activity_id -- unique id for the activity to be created object_id -- identity of the journal object associat... | stack_v2_sparse_classes_36k_train_018874 | 2,577 | no_license | [
{
"docstring": "Initialise the handle from activity_id activity_id -- unique id for the activity to be created object_id -- identity of the journal object associated with the activity. It was used by the journal prototype implementation, might change when we do the real one. When you resume an activity from the... | 2 | null | Implement the Python class `ActivityHandle` described below.
Class description:
Data structure storing simple activity metadata
Method signatures and docstrings:
- def __init__(self, activity_id=None, object_id=None, uri=None): Initialise the handle from activity_id activity_id -- unique id for the activity to be cre... | Implement the Python class `ActivityHandle` described below.
Class description:
Data structure storing simple activity metadata
Method signatures and docstrings:
- def __init__(self, activity_id=None, object_id=None, uri=None): Initialise the handle from activity_id activity_id -- unique id for the activity to be cre... | 6cc17391420b05fe64966a6c8b7ac709c0c0e7a2 | <|skeleton|>
class ActivityHandle:
"""Data structure storing simple activity metadata"""
def __init__(self, activity_id=None, object_id=None, uri=None):
"""Initialise the handle from activity_id activity_id -- unique id for the activity to be created object_id -- identity of the journal object associat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ActivityHandle:
"""Data structure storing simple activity metadata"""
def __init__(self, activity_id=None, object_id=None, uri=None):
"""Initialise the handle from activity_id activity_id -- unique id for the activity to be created object_id -- identity of the journal object associated with the a... | the_stack_v2_python_sparse | olpc-sugar/activity/activityhandle.py | dannyiland/OLPC-Mesh-Messenger | train | 2 |
d06b44f6940f883d1ada04dc338cc85d8bb4c616 | [
"value = proposal['value']\nif self.base ** self.min > value or self.base ** self.max < value:\n value = min(max(value, self.base ** self.min), self.base ** self.max)\nreturn value",
"min = proposal['value']\nif min > self.max:\n raise TraitError('Setting min > max')\nif self.base ** min > self.value:\n ... | <|body_start_0|>
value = proposal['value']
if self.base ** self.min > value or self.base ** self.max < value:
value = min(max(value, self.base ** self.min), self.base ** self.max)
return value
<|end_body_0|>
<|body_start_1|>
min = proposal['value']
if min > self.max:... | _BoundedLogFloat | [
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _BoundedLogFloat:
def _validate_value(self, proposal):
"""Cap and floor value"""
<|body_0|>
def _validate_min(self, proposal):
"""Enforce base ** min <= value <= base ** max"""
<|body_1|>
def _validate_max(self, proposal):
"""Enforce base ** min ... | stack_v2_sparse_classes_36k_train_018875 | 13,866 | permissive | [
{
"docstring": "Cap and floor value",
"name": "_validate_value",
"signature": "def _validate_value(self, proposal)"
},
{
"docstring": "Enforce base ** min <= value <= base ** max",
"name": "_validate_min",
"signature": "def _validate_min(self, proposal)"
},
{
"docstring": "Enforc... | 3 | null | Implement the Python class `_BoundedLogFloat` described below.
Class description:
Implement the _BoundedLogFloat class.
Method signatures and docstrings:
- def _validate_value(self, proposal): Cap and floor value
- def _validate_min(self, proposal): Enforce base ** min <= value <= base ** max
- def _validate_max(self... | Implement the Python class `_BoundedLogFloat` described below.
Class description:
Implement the _BoundedLogFloat class.
Method signatures and docstrings:
- def _validate_value(self, proposal): Cap and floor value
- def _validate_min(self, proposal): Enforce base ** min <= value <= base ** max
- def _validate_max(self... | f5042e35b945aded77b23470ead62d7eacefde92 | <|skeleton|>
class _BoundedLogFloat:
def _validate_value(self, proposal):
"""Cap and floor value"""
<|body_0|>
def _validate_min(self, proposal):
"""Enforce base ** min <= value <= base ** max"""
<|body_1|>
def _validate_max(self, proposal):
"""Enforce base ** min ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _BoundedLogFloat:
def _validate_value(self, proposal):
"""Cap and floor value"""
value = proposal['value']
if self.base ** self.min > value or self.base ** self.max < value:
value = min(max(value, self.base ** self.min), self.base ** self.max)
return value
def ... | the_stack_v2_python_sparse | contrib/python/ipywidgets/py2/ipywidgets/widgets/widget_float.py | catboost/catboost | train | 8,012 | |
31d142b3ee2571c70deef1173d4613ae32510c0a | [
"N = len(nums)\nl, r = (0, N - 1)\nwhile l <= r:\n m = (l + r) // 2\n if (m + 1 == N or (m + 1 < N and nums[m] != nums[m + 1])) and (m == 0 or (m - 1 >= 0 and nums[m] != nums[m - 1])):\n return nums[m]\n elif m + 1 < N and nums[m] == nums[m + 1]:\n if m % 2 == 0:\n l = m + 1\n ... | <|body_start_0|>
N = len(nums)
l, r = (0, N - 1)
while l <= r:
m = (l + r) // 2
if (m + 1 == N or (m + 1 < N and nums[m] != nums[m + 1])) and (m == 0 or (m - 1 >= 0 and nums[m] != nums[m - 1])):
return nums[m]
elif m + 1 < N and nums[m] == nums... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def singleNonDuplicate(self, nums: List[int]) -> int:
"""binary search를 하되, 같은 값이 [짝수, 홀수]에 있는지 [홀수, 짝수] 에 있는지로 오른쪽, 왼쪾으로 이동."""
<|body_0|>
def singleNonDuplicate1(self, nums: List[int]) -> int:
"""XOR 이용 O(N) / O(1)"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_36k_train_018876 | 1,013 | no_license | [
{
"docstring": "binary search를 하되, 같은 값이 [짝수, 홀수]에 있는지 [홀수, 짝수] 에 있는지로 오른쪽, 왼쪾으로 이동.",
"name": "singleNonDuplicate",
"signature": "def singleNonDuplicate(self, nums: List[int]) -> int"
},
{
"docstring": "XOR 이용 O(N) / O(1)",
"name": "singleNonDuplicate1",
"signature": "def singleNonDupli... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNonDuplicate(self, nums: List[int]) -> int: binary search를 하되, 같은 값이 [짝수, 홀수]에 있는지 [홀수, 짝수] 에 있는지로 오른쪽, 왼쪾으로 이동.
- def singleNonDuplicate1(self, nums: List[int]) -> int... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNonDuplicate(self, nums: List[int]) -> int: binary search를 하되, 같은 값이 [짝수, 홀수]에 있는지 [홀수, 짝수] 에 있는지로 오른쪽, 왼쪾으로 이동.
- def singleNonDuplicate1(self, nums: List[int]) -> int... | c26aef2a59e5cc2d9b0658b9c7386a43267ff8a1 | <|skeleton|>
class Solution:
def singleNonDuplicate(self, nums: List[int]) -> int:
"""binary search를 하되, 같은 값이 [짝수, 홀수]에 있는지 [홀수, 짝수] 에 있는지로 오른쪽, 왼쪾으로 이동."""
<|body_0|>
def singleNonDuplicate1(self, nums: List[int]) -> int:
"""XOR 이용 O(N) / O(1)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def singleNonDuplicate(self, nums: List[int]) -> int:
"""binary search를 하되, 같은 값이 [짝수, 홀수]에 있는지 [홀수, 짝수] 에 있는지로 오른쪽, 왼쪾으로 이동."""
N = len(nums)
l, r = (0, N - 1)
while l <= r:
m = (l + r) // 2
if (m + 1 == N or (m + 1 < N and nums[m] != nums[m +... | the_stack_v2_python_sparse | Leetcode/540.py | hanwgyu/algorithm_problem_solving | train | 5 | |
42d83fd5636215823c3572de4559f6486ba095a8 | [
"self.pat = pat\nM = len(pat)\nR = 256\nself.dfa = [[0 for c in range(0, M)] for r in range(0, R)]\nself.dfa[ord(pat[0])][0] = 1\nX = 0\nfor j in range(1, M):\n for c in range(0, R):\n self.dfa[c][j] = self.dfa[c][X]\n self.dfa[ord(pat[j])][j] = j + 1\n X = self.dfa[ord(pat[j])][X]",
"N = len(txt)... | <|body_start_0|>
self.pat = pat
M = len(pat)
R = 256
self.dfa = [[0 for c in range(0, M)] for r in range(0, R)]
self.dfa[ord(pat[0])][0] = 1
X = 0
for j in range(1, M):
for c in range(0, R):
self.dfa[c][j] = self.dfa[c][X]
s... | KMP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KMP:
def __init__(self, pat):
"""Preprocesses the pattern string. :param pat: the pattern string"""
<|body_0|>
def search(self, txt):
"""Returns the index of the first occurrrence of the pattern string in the text string. :param txt: the text string :return: the inde... | stack_v2_sparse_classes_36k_train_018877 | 1,997 | 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_008618 | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def __init__(self, pat): Preprocesses the pattern string. :param pat: the pattern string
- def search(self, txt): Returns the index of the first occurrrence of the pattern string in the te... | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def __init__(self, pat): Preprocesses the pattern string. :param pat: the pattern string
- def search(self, txt): Returns the index of the first occurrrence of the pattern string in the te... | 658e3a42b712fb79a4afc8c3acf24161bd5d6737 | <|skeleton|>
class KMP:
def __init__(self, pat):
"""Preprocesses the pattern string. :param pat: the pattern string"""
<|body_0|>
def search(self, txt):
"""Returns the index of the first occurrrence of the pattern string in the text string. :param txt: the text string :return: the inde... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KMP:
def __init__(self, pat):
"""Preprocesses the pattern string. :param pat: the pattern string"""
self.pat = pat
M = len(pat)
R = 256
self.dfa = [[0 for c in range(0, M)] for r in range(0, R)]
self.dfa[ord(pat[0])][0] = 1
X = 0
for j in range(1... | the_stack_v2_python_sparse | algs4/strings/kmp.py | bhavyaagg/python-test | train | 0 | |
2dfeee02ed519d4c88e7716b76907555f98d59da | [
"super(RNNDecoder, self).__init__()\nself.embedding = tf.keras.layers.Embedding(vocab, embedding)\nself.gru = tf.keras.layers.GRU(units, recurrent_initializer='glorot_uniform', return_sequences=True, return_state=True)\nself.F = tf.keras.layers.Dense(vocab)",
"attention = SelfAttention(s_prev.shape[1])\ncontext, ... | <|body_start_0|>
super(RNNDecoder, self).__init__()
self.embedding = tf.keras.layers.Embedding(vocab, embedding)
self.gru = tf.keras.layers.GRU(units, recurrent_initializer='glorot_uniform', return_sequences=True, return_state=True)
self.F = tf.keras.layers.Dense(vocab)
<|end_body_0|>
<... | RNNDecoder Class | RNNDecoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RNNDecoder:
"""RNNDecoder Class"""
def __init__(self, vocab, embedding, units, batch):
"""Class constructor :param vocab: int representing size of output vocabulary"""
<|body_0|>
def call(self, x, s_prev, hidden_states):
"""Public Instance method"""
<|bod... | stack_v2_sparse_classes_36k_train_018878 | 1,289 | no_license | [
{
"docstring": "Class constructor :param vocab: int representing size of output vocabulary",
"name": "__init__",
"signature": "def __init__(self, vocab, embedding, units, batch)"
},
{
"docstring": "Public Instance method",
"name": "call",
"signature": "def call(self, x, s_prev, hidden_st... | 2 | stack_v2_sparse_classes_30k_train_018263 | Implement the Python class `RNNDecoder` described below.
Class description:
RNNDecoder Class
Method signatures and docstrings:
- def __init__(self, vocab, embedding, units, batch): Class constructor :param vocab: int representing size of output vocabulary
- def call(self, x, s_prev, hidden_states): Public Instance me... | Implement the Python class `RNNDecoder` described below.
Class description:
RNNDecoder Class
Method signatures and docstrings:
- def __init__(self, vocab, embedding, units, batch): Class constructor :param vocab: int representing size of output vocabulary
- def call(self, x, s_prev, hidden_states): Public Instance me... | a51fbcb76dae9281ff34ace0fb762ef899b4c380 | <|skeleton|>
class RNNDecoder:
"""RNNDecoder Class"""
def __init__(self, vocab, embedding, units, batch):
"""Class constructor :param vocab: int representing size of output vocabulary"""
<|body_0|>
def call(self, x, s_prev, hidden_states):
"""Public Instance method"""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RNNDecoder:
"""RNNDecoder Class"""
def __init__(self, vocab, embedding, units, batch):
"""Class constructor :param vocab: int representing size of output vocabulary"""
super(RNNDecoder, self).__init__()
self.embedding = tf.keras.layers.Embedding(vocab, embedding)
self.gru ... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/2-rnn_decoder.py | Diegokernel/holbertonschool-machine_learning | train | 0 |
207e5648d6d02b56cc9c319062b487eeda4858e0 | [
"if not id_tcr:\n raise ValueError('Invalid ID')\nresponse = self._api.post(path='{}/pend'.format(id_tcr))\nreturn response",
"if not id_tcr:\n raise ValueError('Invalid ID')\nresponse = self._api.post(path='{}/inquire'.format(id_tcr))\nreturn response",
"if not tcr_id:\n raise ValueError('Invalid ID')... | <|body_start_0|>
if not id_tcr:
raise ValueError('Invalid ID')
response = self._api.post(path='{}/pend'.format(id_tcr))
return response
<|end_body_0|>
<|body_start_1|>
if not id_tcr:
raise ValueError('Invalid ID')
response = self._api.post(path='{}/inquir... | Tier Config Request Resource. | TierConfigRequestResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TierConfigRequestResource:
"""Tier Config Request Resource."""
def pend(self, id_tcr):
"""Set a Tier Configuration Request to pend status. :param str id_tar: Primary key of the tier configuration request to set. :return: 204, Empty response"""
<|body_0|>
def inquire(self... | stack_v2_sparse_classes_36k_train_018879 | 3,281 | permissive | [
{
"docstring": "Set a Tier Configuration Request to pend status. :param str id_tar: Primary key of the tier configuration request to set. :return: 204, Empty response",
"name": "pend",
"signature": "def pend(self, id_tcr)"
},
{
"docstring": "Set a Tier Configuration Request to inquire status. :p... | 6 | null | Implement the Python class `TierConfigRequestResource` described below.
Class description:
Tier Config Request Resource.
Method signatures and docstrings:
- def pend(self, id_tcr): Set a Tier Configuration Request to pend status. :param str id_tar: Primary key of the tier configuration request to set. :return: 204, E... | Implement the Python class `TierConfigRequestResource` described below.
Class description:
Tier Config Request Resource.
Method signatures and docstrings:
- def pend(self, id_tcr): Set a Tier Configuration Request to pend status. :param str id_tar: Primary key of the tier configuration request to set. :return: 204, E... | 656d653e4065637e2cc5768d7d554de17d0120eb | <|skeleton|>
class TierConfigRequestResource:
"""Tier Config Request Resource."""
def pend(self, id_tcr):
"""Set a Tier Configuration Request to pend status. :param str id_tar: Primary key of the tier configuration request to set. :return: 204, Empty response"""
<|body_0|>
def inquire(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TierConfigRequestResource:
"""Tier Config Request Resource."""
def pend(self, id_tcr):
"""Set a Tier Configuration Request to pend status. :param str id_tar: Primary key of the tier configuration request to set. :return: 204, Empty response"""
if not id_tcr:
raise ValueError('... | the_stack_v2_python_sparse | connect/resources/tier_config_request.py | cloudblue/connect-python-sdk | train | 13 |
f1e58c936b4258b55895310b80c3071fa46b50ec | [
"req = 'xbuddy/latest?for_update=true&return_dir=true'\nself.assertEqual(dev_server_wrapper.GenerateXbuddyRequest('latest', 'update'), req)\npath = 'xbuddy://remote/stumpy/version'\nreq = 'xbuddy/remote/stumpy/version?for_update=true&return_dir=true'\nself.assertEqual(dev_server_wrapper.GenerateXbuddyRequest(path, ... | <|body_start_0|>
req = 'xbuddy/latest?for_update=true&return_dir=true'
self.assertEqual(dev_server_wrapper.GenerateXbuddyRequest('latest', 'update'), req)
path = 'xbuddy://remote/stumpy/version'
req = 'xbuddy/remote/stumpy/version?for_update=true&return_dir=true'
self.assertEqual... | Test xbuddy helper functions. | TestXbuddyHelpers | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestXbuddyHelpers:
"""Test xbuddy helper functions."""
def testGenerateXbuddyRequestForUpdate(self):
"""Test we generate correct xbuddy requests."""
<|body_0|>
def testGenerateXbuddyRequestForImage(self):
"""Tests that we generate correct requests to get images."... | stack_v2_sparse_classes_36k_train_018880 | 4,351 | permissive | [
{
"docstring": "Test we generate correct xbuddy requests.",
"name": "testGenerateXbuddyRequestForUpdate",
"signature": "def testGenerateXbuddyRequestForUpdate(self)"
},
{
"docstring": "Tests that we generate correct requests to get images.",
"name": "testGenerateXbuddyRequestForImage",
"... | 6 | stack_v2_sparse_classes_30k_val_000090 | Implement the Python class `TestXbuddyHelpers` described below.
Class description:
Test xbuddy helper functions.
Method signatures and docstrings:
- def testGenerateXbuddyRequestForUpdate(self): Test we generate correct xbuddy requests.
- def testGenerateXbuddyRequestForImage(self): Tests that we generate correct req... | Implement the Python class `TestXbuddyHelpers` described below.
Class description:
Test xbuddy helper functions.
Method signatures and docstrings:
- def testGenerateXbuddyRequestForUpdate(self): Test we generate correct xbuddy requests.
- def testGenerateXbuddyRequestForImage(self): Tests that we generate correct req... | 72a05af97787001756bae2511b7985e61498c965 | <|skeleton|>
class TestXbuddyHelpers:
"""Test xbuddy helper functions."""
def testGenerateXbuddyRequestForUpdate(self):
"""Test we generate correct xbuddy requests."""
<|body_0|>
def testGenerateXbuddyRequestForImage(self):
"""Tests that we generate correct requests to get images."... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestXbuddyHelpers:
"""Test xbuddy helper functions."""
def testGenerateXbuddyRequestForUpdate(self):
"""Test we generate correct xbuddy requests."""
req = 'xbuddy/latest?for_update=true&return_dir=true'
self.assertEqual(dev_server_wrapper.GenerateXbuddyRequest('latest', 'update'),... | the_stack_v2_python_sparse | third_party/chromite/lib/dev_server_wrapper_unittest.py | metux/chromium-suckless | train | 5 |
e8d69fea767187a015bf76b82bcbe1c1b3e012d7 | [
"sample_n, feature_n = X.shape\nunused_features = np.ones(feature_n) == 1\nunclass_samples = np.ones(sample_n) == 1\nself.node = self._train_tree(X, Y, unused_features, unclass_samples)\nreturn self",
"logger.debug('train node -> X : < {} > Y : < {} >'.format(str(train_data).replace('\\n', ''), str(train_la... | <|body_start_0|>
sample_n, feature_n = X.shape
unused_features = np.ones(feature_n) == 1
unclass_samples = np.ones(sample_n) == 1
self.node = self._train_tree(X, Y, unused_features, unclass_samples)
return self
<|end_body_0|>
<|body_start_1|>
logger.debug('train node -> ... | ID3 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ID3:
def fit(self, X, Y):
"""训练函数，X为二维array，Y为一维array"""
<|body_0|>
def _train_tree(self, train_data, train_labels, unused_features, unclass_samples):
"""递归调用用以创建树"""
<|body_1|>
def _find_split_feature(self, X, Y, unused_features, unclass_samples):
... | stack_v2_sparse_classes_36k_train_018881 | 4,988 | no_license | [
{
"docstring": "训练函数，X为二维array，Y为一维array",
"name": "fit",
"signature": "def fit(self, X, Y)"
},
{
"docstring": "递归调用用以创建树",
"name": "_train_tree",
"signature": "def _train_tree(self, train_data, train_labels, unused_features, unclass_samples)"
},
{
"docstring": "'寻找最优的拆分feature",... | 4 | stack_v2_sparse_classes_30k_train_014617 | Implement the Python class `ID3` described below.
Class description:
Implement the ID3 class.
Method signatures and docstrings:
- def fit(self, X, Y): 训练函数，X为二维array，Y为一维array
- def _train_tree(self, train_data, train_labels, unused_features, unclass_samples): 递归调用用以创建树
- def _find_split_feature(self, X, Y, unused_fe... | Implement the Python class `ID3` described below.
Class description:
Implement the ID3 class.
Method signatures and docstrings:
- def fit(self, X, Y): 训练函数，X为二维array，Y为一维array
- def _train_tree(self, train_data, train_labels, unused_features, unclass_samples): 递归调用用以创建树
- def _find_split_feature(self, X, Y, unused_fe... | 266f613fe2d5df3c0762061eb119386a9f6ea644 | <|skeleton|>
class ID3:
def fit(self, X, Y):
"""训练函数，X为二维array，Y为一维array"""
<|body_0|>
def _train_tree(self, train_data, train_labels, unused_features, unclass_samples):
"""递归调用用以创建树"""
<|body_1|>
def _find_split_feature(self, X, Y, unused_features, unclass_samples):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ID3:
def fit(self, X, Y):
"""训练函数，X为二维array，Y为一维array"""
sample_n, feature_n = X.shape
unused_features = np.ones(feature_n) == 1
unclass_samples = np.ones(sample_n) == 1
self.node = self._train_tree(X, Y, unused_features, unclass_samples)
return self
def _t... | the_stack_v2_python_sparse | ID3/id3.py | hxsylzpf/codes | train | 0 | |
999f4fc1dba89cfcc622091f1aba0e987be9ca56 | [
"if value is None:\n return None\ntry:\n value = float(value)\n a = arrow.get(datetime.datetime.utcfromtimestamp(value))\n a = a.replace(tzinfo=TZ)\nexcept (ValueError, TypeError):\n try:\n a = arrow.get(value)\n a = a.to(TZ)\n except (arrow.parser.ParserError, TypeError):\n r... | <|body_start_0|>
if value is None:
return None
try:
value = float(value)
a = arrow.get(datetime.datetime.utcfromtimestamp(value))
a = a.replace(tzinfo=TZ)
except (ValueError, TypeError):
try:
a = arrow.get(value)
... | Custom DateTime parser on top of :mod:`arrow` to provide lossless dates | DateTime | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DateTime:
"""Custom DateTime parser on top of :mod:`arrow` to provide lossless dates"""
def parse(self, value):
"""Parse the value"""
<|body_0|>
def format(self, value):
"""Format the value"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if valu... | stack_v2_sparse_classes_36k_train_018882 | 2,860 | permissive | [
{
"docstring": "Parse the value",
"name": "parse",
"signature": "def parse(self, value)"
},
{
"docstring": "Format the value",
"name": "format",
"signature": "def format(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006439 | Implement the Python class `DateTime` described below.
Class description:
Custom DateTime parser on top of :mod:`arrow` to provide lossless dates
Method signatures and docstrings:
- def parse(self, value): Parse the value
- def format(self, value): Format the value | Implement the Python class `DateTime` described below.
Class description:
Custom DateTime parser on top of :mod:`arrow` to provide lossless dates
Method signatures and docstrings:
- def parse(self, value): Parse the value
- def format(self, value): Format the value
<|skeleton|>
class DateTime:
"""Custom DateTime... | 2b8c6e09a4174f2ae3545fa048f59c55c4ae7dba | <|skeleton|>
class DateTime:
"""Custom DateTime parser on top of :mod:`arrow` to provide lossless dates"""
def parse(self, value):
"""Parse the value"""
<|body_0|>
def format(self, value):
"""Format the value"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DateTime:
"""Custom DateTime parser on top of :mod:`arrow` to provide lossless dates"""
def parse(self, value):
"""Parse the value"""
if value is None:
return None
try:
value = float(value)
a = arrow.get(datetime.datetime.utcfromtimestamp(value)... | the_stack_v2_python_sparse | burpui/api/custom/my_fields.py | ziirish/burp-ui | train | 98 |
961ecb401c5bba15e1f9da0bc992c4ae8e3bd17a | [
"payload = request.json\nif category.upper() not in CATEGORY_MODEL_MAPPING:\n raise self.ValidationError('Invalid category')\nif len(post_id) != 24:\n return Response('', 204)\npost = CATEGORY_MODEL_MAPPING[category.upper()].objects(id=post_id).first()\nif not post:\n return Response('', 204)\npost.update(... | <|body_start_0|>
payload = request.json
if category.upper() not in CATEGORY_MODEL_MAPPING:
raise self.ValidationError('Invalid category')
if len(post_id) != 24:
return Response('', 204)
post = CATEGORY_MODEL_MAPPING[category.upper()].objects(id=post_id).first()
... | PostAlteration | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostAlteration:
def patch(self, category, post_id):
"""게시글 수정"""
<|body_0|>
def delete(self, category, post_id):
"""게시글 삭제"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
payload = request.json
if category.upper() not in CATEGORY_MODEL_MAPPI... | stack_v2_sparse_classes_36k_train_018883 | 2,352 | permissive | [
{
"docstring": "게시글 수정",
"name": "patch",
"signature": "def patch(self, category, post_id)"
},
{
"docstring": "게시글 삭제",
"name": "delete",
"signature": "def delete(self, category, post_id)"
}
] | 2 | null | Implement the Python class `PostAlteration` described below.
Class description:
Implement the PostAlteration class.
Method signatures and docstrings:
- def patch(self, category, post_id): 게시글 수정
- def delete(self, category, post_id): 게시글 삭제 | Implement the Python class `PostAlteration` described below.
Class description:
Implement the PostAlteration class.
Method signatures and docstrings:
- def patch(self, category, post_id): 게시글 수정
- def delete(self, category, post_id): 게시글 삭제
<|skeleton|>
class PostAlteration:
def patch(self, category, post_id):
... | de585fe904a2bf15f9fc74219eae176151a0f8ca | <|skeleton|>
class PostAlteration:
def patch(self, category, post_id):
"""게시글 수정"""
<|body_0|>
def delete(self, category, post_id):
"""게시글 삭제"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PostAlteration:
def patch(self, category, post_id):
"""게시글 수정"""
payload = request.json
if category.upper() not in CATEGORY_MODEL_MAPPING:
raise self.ValidationError('Invalid category')
if len(post_id) != 24:
return Response('', 204)
post = CATEG... | the_stack_v2_python_sparse | Server/app/views/v2/admin/post/post.py | miraedbswo/DMS-Backend | train | 2 | |
cf52af83d3664ceb10d66ddd5ebb85678b993254 | [
"start = 0\nend = len(height) - 1\narea = 0\nwhile start < end:\n start_next = start\n end_next = end\n if height[start] < height[end]:\n area_new = height[start] * (end - start)\n while start_next < end_next:\n if height[start_next] > height[start]:\n break\n ... | <|body_start_0|>
start = 0
end = len(height) - 1
area = 0
while start < end:
start_next = start
end_next = end
if height[start] < height[end]:
area_new = height[start] * (end - start)
while start_next < end_next:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea_my(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
start = 0
end = len(height) - 1
... | stack_v2_sparse_classes_36k_train_018884 | 1,662 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea_my",
"signature": "def maxArea_my(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018691 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea_my(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea_my(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxArea_... | a3759acc09664a4fbf6af568b1cd9acc9b4c260f | <|skeleton|>
class Solution:
def maxArea_my(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxArea_my(self, height):
""":type height: List[int] :rtype: int"""
start = 0
end = len(height) - 1
area = 0
while start < end:
start_next = start
end_next = end
if height[start] < height[end]:
area_new =... | the_stack_v2_python_sparse | ContainerWithMostWater.py | SunJackson/algorithms | train | 0 | |
34515948bdfba1f78f70d16bcfd012cd0dad1678 | [
"self.stack = []\nwhile root:\n self.stack.append(root)\n root = root.left",
"if len(self.stack) > 0:\n return True\nreturn False",
"node = self.stack.pop()\nnode_right = node.right\nwhile node_right:\n self.stack.append(node_right)\n node_right = node_right.left\nreturn node.val"
] | <|body_start_0|>
self.stack = []
while root:
self.stack.append(root)
root = root.left
<|end_body_0|>
<|body_start_1|>
if len(self.stack) > 0:
return True
return False
<|end_body_1|>
<|body_start_2|>
node = self.stack.pop()
node_right ... | BSTIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
<|body_0|>
def hasNext(self):
""":rtype: bool"""
<|body_1|>
def next(self):
""":rtype: int"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
self.stack = []
... | stack_v2_sparse_classes_36k_train_018885 | 1,082 | no_license | [
{
"docstring": ":type root: TreeNode",
"name": "__init__",
"signature": "def __init__(self, root)"
},
{
"docstring": ":rtype: bool",
"name": "hasNext",
"signature": "def hasNext(self)"
},
{
"docstring": ":rtype: int",
"name": "next",
"signature": "def next(self)"
}
] | 3 | null | Implement the Python class `BSTIterator` described below.
Class description:
Implement the BSTIterator class.
Method signatures and docstrings:
- def __init__(self, root): :type root: TreeNode
- def hasNext(self): :rtype: bool
- def next(self): :rtype: int | Implement the Python class `BSTIterator` described below.
Class description:
Implement the BSTIterator class.
Method signatures and docstrings:
- def __init__(self, root): :type root: TreeNode
- def hasNext(self): :rtype: bool
- def next(self): :rtype: int
<|skeleton|>
class BSTIterator:
def __init__(self, root... | f047810f01685d8bf513e8ee7dab9d15f1c04bbc | <|skeleton|>
class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
<|body_0|>
def hasNext(self):
""":rtype: bool"""
<|body_1|>
def next(self):
""":rtype: int"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
self.stack = []
while root:
self.stack.append(root)
root = root.left
def hasNext(self):
""":rtype: bool"""
if len(self.stack) > 0:
return True
return False... | the_stack_v2_python_sparse | leetcode/company specific problems/Amazon/binary_search_tree_iterator.py | Gabrielatb/Interview-Prep | train | 1 | |
903599286c3d50f12d612940b8c46dc52e8ced77 | [
"self.lowest_price = lowest_price\nself.highest_price = highest_price\nself.lowest_sale_price = lowest_sale_price\nself.highest_sale_price = highest_sale_price",
"if dictionary is None:\n return None\nlowest_price = awsecommerceservice.models.price.Price.from_dictionary(dictionary.get('LowestPrice')) if dictio... | <|body_start_0|>
self.lowest_price = lowest_price
self.highest_price = highest_price
self.lowest_sale_price = lowest_sale_price
self.highest_sale_price = highest_sale_price
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
lowest_price = awse... | Implementation of the 'VariationSummary' model. TODO: type model description here. Attributes: lowest_price (Price): TODO: type description here. highest_price (Price): TODO: type description here. lowest_sale_price (Price): TODO: type description here. highest_sale_price (Price): TODO: type description here. | VariationSummary | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VariationSummary:
"""Implementation of the 'VariationSummary' model. TODO: type model description here. Attributes: lowest_price (Price): TODO: type description here. highest_price (Price): TODO: type description here. lowest_sale_price (Price): TODO: type description here. highest_sale_price (Pr... | stack_v2_sparse_classes_36k_train_018886 | 2,729 | permissive | [
{
"docstring": "Constructor for the VariationSummary class",
"name": "__init__",
"signature": "def __init__(self, lowest_price=None, highest_price=None, lowest_sale_price=None, highest_sale_price=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dict... | 2 | stack_v2_sparse_classes_30k_train_005308 | Implement the Python class `VariationSummary` described below.
Class description:
Implementation of the 'VariationSummary' model. TODO: type model description here. Attributes: lowest_price (Price): TODO: type description here. highest_price (Price): TODO: type description here. lowest_sale_price (Price): TODO: type d... | Implement the Python class `VariationSummary` described below.
Class description:
Implementation of the 'VariationSummary' model. TODO: type model description here. Attributes: lowest_price (Price): TODO: type description here. highest_price (Price): TODO: type description here. lowest_sale_price (Price): TODO: type d... | 26ea1019115a1de3b1b37a4b830525e164ac55ce | <|skeleton|>
class VariationSummary:
"""Implementation of the 'VariationSummary' model. TODO: type model description here. Attributes: lowest_price (Price): TODO: type description here. highest_price (Price): TODO: type description here. lowest_sale_price (Price): TODO: type description here. highest_sale_price (Pr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VariationSummary:
"""Implementation of the 'VariationSummary' model. TODO: type model description here. Attributes: lowest_price (Price): TODO: type description here. highest_price (Price): TODO: type description here. lowest_sale_price (Price): TODO: type description here. highest_sale_price (Price): TODO: t... | the_stack_v2_python_sparse | awsecommerceservice/models/variation_summary.py | nidaizamir/Test-PY | train | 0 |
3e501b06d17a3d9af586673d5222d41f9d53bf12 | [
"parser_id = kwargs.get('id', None)\nlogparser = LogParserModel.from_dict(kwargs)\nif parser_id is None:\n self.session.add(logparser)\n self.session.commit()\nelse:\n query = self.session.query(LogParserModel)\n old_parser = query.filter(LogParserModel.id == parser_id).first()\n if old_parser:\n ... | <|body_start_0|>
parser_id = kwargs.get('id', None)
logparser = LogParserModel.from_dict(kwargs)
if parser_id is None:
self.session.add(logparser)
self.session.commit()
else:
query = self.session.query(LogParserModel)
old_parser = query.fil... | LogParserCustDao | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogParserCustDao:
def upsert_logparser(self, **kwargs):
"""如果参数中不包含id，则新增parser，包含id，则修改parser"""
<|body_0|>
def get_all_logparsers(self, name=None, host=None, url=None, status=None):
"""获得所有的logparser :param name: dest名称 :param host: terms中的host :param url: terms中的U... | stack_v2_sparse_classes_36k_train_018887 | 1,968 | permissive | [
{
"docstring": "如果参数中不包含id，则新增parser，包含id，则修改parser",
"name": "upsert_logparser",
"signature": "def upsert_logparser(self, **kwargs)"
},
{
"docstring": "获得所有的logparser :param name: dest名称 :param host: terms中的host :param url: terms中的URL :param status: logparser status :return:",
"name": "get_... | 3 | null | Implement the Python class `LogParserCustDao` described below.
Class description:
Implement the LogParserCustDao class.
Method signatures and docstrings:
- def upsert_logparser(self, **kwargs): 如果参数中不包含id，则新增parser，包含id，则修改parser
- def get_all_logparsers(self, name=None, host=None, url=None, status=None): 获得所有的logpar... | Implement the Python class `LogParserCustDao` described below.
Class description:
Implement the LogParserCustDao class.
Method signatures and docstrings:
- def upsert_logparser(self, **kwargs): 如果参数中不包含id，则新增parser，包含id，则修改parser
- def get_all_logparsers(self, name=None, host=None, url=None, status=None): 获得所有的logpar... | 2e32e6e7b225e0bd87ee8c847c22862f12c51bb1 | <|skeleton|>
class LogParserCustDao:
def upsert_logparser(self, **kwargs):
"""如果参数中不包含id，则新增parser，包含id，则修改parser"""
<|body_0|>
def get_all_logparsers(self, name=None, host=None, url=None, status=None):
"""获得所有的logparser :param name: dest名称 :param host: terms中的host :param url: terms中的U... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LogParserCustDao:
def upsert_logparser(self, **kwargs):
"""如果参数中不包含id，则新增parser，包含id，则修改parser"""
parser_id = kwargs.get('id', None)
logparser = LogParserModel.from_dict(kwargs)
if parser_id is None:
self.session.add(logparser)
self.session.commit()
... | the_stack_v2_python_sparse | nebula/dao/logparser_dao.py | threathunterX/nebula_web | train | 2 | |
67693f345d3d4c20f977a29af559448263f9afda | [
"self.letters = letters\nself.score_dict = {chr(i): score[i - ord('a')] for i in range(ord('a'), ord('z') + 1)}\nself.word_instances = [self.create_word_instance(word, index) for index, word in enumerate(words)]",
"word = Word(word, index)\nword.score = self.get_score(word.word)\nreturn word",
"result = 0\nfor ... | <|body_start_0|>
self.letters = letters
self.score_dict = {chr(i): score[i - ord('a')] for i in range(ord('a'), ord('z') + 1)}
self.word_instances = [self.create_word_instance(word, index) for index, word in enumerate(words)]
<|end_body_0|>
<|body_start_1|>
word = Word(word, index)
... | 执行用时： 40 ms , 在所有 Python3 提交中击败了 100.00% 的用户 内存消耗： 15.2 MB , 在所有 Python3 提交中击败了 33.33% 的用户 思路一: 把words的所有子集挑选出来, 看子集是否能用所有letters进行表示, 找到分数最高的子集 耗时 2 ^ (words长) = 2 ^ 14 [w1, w2, w3], [w4] 最长 = [w1, w2, w3]分数 + [w1, w2, w3] 用去掉w4构成的分数 + w4的分数 难点: 动态规划要想速度快, 必须有缓存. letters子集来生成缓存 常用函数: 从letters取出一部分后计算 计算已有word的分数 | Solution1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution1:
"""执行用时： 40 ms , 在所有 Python3 提交中击败了 100.00% 的用户 内存消耗： 15.2 MB , 在所有 Python3 提交中击败了 33.33% 的用户 思路一: 把words的所有子集挑选出来, 看子集是否能用所有letters进行表示, 找到分数最高的子集 耗时 2 ^ (words长) = 2 ^ 14 [w1, w2, w3], [w4] 最长 = [w1, w2, w3]分数 + [w1, w2, w3] 用去掉w4构成的分数 + w4的分数 难点: 动态规划要想速度快, 必须有缓存. letters子集来生成缓存 常用函... | stack_v2_sparse_classes_36k_train_018888 | 4,628 | no_license | [
{
"docstring": "score: 26个字母的值",
"name": "__init__",
"signature": "def __init__(self, words, letters, score)"
},
{
"docstring": "把一个单词变成对象,加入Solution",
"name": "create_word_instance",
"signature": "def create_word_instance(self, word, index)"
},
{
"docstring": "获取一个单词word的分值",
... | 5 | stack_v2_sparse_classes_30k_train_003965 | Implement the Python class `Solution1` described below.
Class description:
执行用时： 40 ms , 在所有 Python3 提交中击败了 100.00% 的用户 内存消耗： 15.2 MB , 在所有 Python3 提交中击败了 33.33% 的用户 思路一: 把words的所有子集挑选出来, 看子集是否能用所有letters进行表示, 找到分数最高的子集 耗时 2 ^ (words长) = 2 ^ 14 [w1, w2, w3], [w4] 最长 = [w1, w2, w3]分数 + [w1, w2, w3] 用去掉w4构成的分数 + w4的分数 难... | Implement the Python class `Solution1` described below.
Class description:
执行用时： 40 ms , 在所有 Python3 提交中击败了 100.00% 的用户 内存消耗： 15.2 MB , 在所有 Python3 提交中击败了 33.33% 的用户 思路一: 把words的所有子集挑选出来, 看子集是否能用所有letters进行表示, 找到分数最高的子集 耗时 2 ^ (words长) = 2 ^ 14 [w1, w2, w3], [w4] 最长 = [w1, w2, w3]分数 + [w1, w2, w3] 用去掉w4构成的分数 + w4的分数 难... | a5327f5fa0b2220ec79a822dd655fb5ad9a28be0 | <|skeleton|>
class Solution1:
"""执行用时： 40 ms , 在所有 Python3 提交中击败了 100.00% 的用户 内存消耗： 15.2 MB , 在所有 Python3 提交中击败了 33.33% 的用户 思路一: 把words的所有子集挑选出来, 看子集是否能用所有letters进行表示, 找到分数最高的子集 耗时 2 ^ (words长) = 2 ^ 14 [w1, w2, w3], [w4] 最长 = [w1, w2, w3]分数 + [w1, w2, w3] 用去掉w4构成的分数 + w4的分数 难点: 动态规划要想速度快, 必须有缓存. letters子集来生成缓存 常用函... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution1:
"""执行用时： 40 ms , 在所有 Python3 提交中击败了 100.00% 的用户 内存消耗： 15.2 MB , 在所有 Python3 提交中击败了 33.33% 的用户 思路一: 把words的所有子集挑选出来, 看子集是否能用所有letters进行表示, 找到分数最高的子集 耗时 2 ^ (words长) = 2 ^ 14 [w1, w2, w3], [w4] 最长 = [w1, w2, w3]分数 + [w1, w2, w3] 用去掉w4构成的分数 + w4的分数 难点: 动态规划要想速度快, 必须有缓存. letters子集来生成缓存 常用函数: 从letters取出... | the_stack_v2_python_sparse | 得分最高的单词集合.py | ramwin/leetcode | train | 1 |
263325aadcbc83d4459656519e8b456483fd3453 | [
"startTime = datetime.datetime.now()\nprint('Retrieving prop assessment... \\n', end='\\r')\nsys.stdout.write('\\x1b[F')\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('bkin18_cjoe_klovett_sbrz', 'bkin18_cjoe_klovett_sbrz')\nTRIAL_NUM = 1000 if trial else sys.maxsize\nproperty_as... | <|body_start_0|>
startTime = datetime.datetime.now()
print('Retrieving prop assessment... \n', end='\r')
sys.stdout.write('\x1b[F')
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('bkin18_cjoe_klovett_sbrz', 'bkin18_cjoe_klovett_sbrz')
... | retrievePropertyAssessmentData | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class retrievePropertyAssessmentData:
def execute(trial=False):
"""Retrieve Boston property assessment data set."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happening in ... | stack_v2_sparse_classes_36k_train_018889 | 4,246 | no_license | [
{
"docstring": "Retrieve Boston property assessment data set.",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new document describing that invocat... | 2 | null | Implement the Python class `retrievePropertyAssessmentData` described below.
Class description:
Implement the retrievePropertyAssessmentData class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve Boston property assessment data set.
- def provenance(doc=prov.model.ProvDocument(), startTime=None... | Implement the Python class `retrievePropertyAssessmentData` described below.
Class description:
Implement the retrievePropertyAssessmentData class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve Boston property assessment data set.
- def provenance(doc=prov.model.ProvDocument(), startTime=None... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class retrievePropertyAssessmentData:
def execute(trial=False):
"""Retrieve Boston property assessment data set."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happening in ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class retrievePropertyAssessmentData:
def execute(trial=False):
"""Retrieve Boston property assessment data set."""
startTime = datetime.datetime.now()
print('Retrieving prop assessment... \n', end='\r')
sys.stdout.write('\x1b[F')
client = dml.pymongo.MongoClient()
... | the_stack_v2_python_sparse | bkin18_cjoe_klovett_sbrz/retrievePropertyAssessmentData.py | ROODAY/course-2017-fal-proj | train | 3 | |
da86ef7b92d36ebcfde763d4d96b1e11896e0960 | [
"self.name = name\nself.bord = []\nfor i in range(0, 3):\n self.bord.append(Puzzle2Bord(definition[i:i + 2]))\nself.bord.append(Puzzle2Bord(definition[-1] + definition[0]))\nself.orientation = 0\nself.position = position\nself.numero = numero",
"image = pygame.image.load(self.name)\nself.image = pygame.transfo... | <|body_start_0|>
self.name = name
self.bord = []
for i in range(0, 3):
self.bord.append(Puzzle2Bord(definition[i:i + 2]))
self.bord.append(Puzzle2Bord(definition[-1] + definition[0]))
self.orientation = 0
self.position = position
self.numero = numero
<... | Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle, cette information va donc bouger au fu... | Puzzle2Piece | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle... | stack_v2_sparse_classes_36k_train_018890 | 17,451 | permissive | [
{
"docstring": "On définit la pièce: :param name: nom de l'image représentant la pièce :param definition: chaîne de 4 caractères indiquant les quatre couleurs au quatre angles :param position: c'est la position initiale de la pièce, on suppose que l'orientation est nulle pour commencer :param numero: numéro de ... | 4 | stack_v2_sparse_classes_30k_train_007970 | Implement the Python class `Puzzle2Piece` described below.
Class description:
Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la pos... | Implement the Python class `Puzzle2Piece` described below.
Class description:
Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la pos... | 2abbc7a20c7437f9ab91d1ec83a6aecdefceb028 | <|skeleton|>
class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle, cette infor... | the_stack_v2_python_sparse | src/ensae_teaching_cs/special/puzzle_2.py | Pandinosaurus/ensae_teaching_cs | train | 1 |
c5bf409af63efa0db325b91f509bb4f49884bc30 | [
"def wb(s):\n if s == '':\n return True\n for i in range(1, len(s) + 1):\n if s[:i] in wordDict and wb(s[i:]):\n return True\n return False\nreturn wb(s)",
"if not s:\n return True\nwordSet = set(wordDict)\nvalid_positions = [0]\nn = len(s)\nfor j in range(1, n + 1):\n for ... | <|body_start_0|>
def wb(s):
if s == '':
return True
for i in range(1, len(s) + 1):
if s[:i] in wordDict and wb(s[i:]):
return True
return False
return wb(s)
<|end_body_0|>
<|body_start_1|>
if not s:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def wordBreak_v1(self, s: str, wordDict: List[str]) -> bool:
"""Recursion. The worst performance is trying all of the 2^(n-1) partitions. There are quite duplications in the pervious implementaiotn. E.g. + 'abcde' - 'bcde' -> ['cde', 'de', 'e', ''] - 'cde' - 'de' - 'e' - ''"""
... | stack_v2_sparse_classes_36k_train_018891 | 4,160 | no_license | [
{
"docstring": "Recursion. The worst performance is trying all of the 2^(n-1) partitions. There are quite duplications in the pervious implementaiotn. E.g. + 'abcde' - 'bcde' -> ['cde', 'de', 'e', ''] - 'cde' - 'de' - 'e' - ''",
"name": "wordBreak_v1",
"signature": "def wordBreak_v1(self, s: str, wordDi... | 3 | stack_v2_sparse_classes_30k_train_016617 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak_v1(self, s: str, wordDict: List[str]) -> bool: Recursion. The worst performance is trying all of the 2^(n-1) partitions. There are quite duplications in the perviou... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak_v1(self, s: str, wordDict: List[str]) -> bool: Recursion. The worst performance is trying all of the 2^(n-1) partitions. There are quite duplications in the perviou... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def wordBreak_v1(self, s: str, wordDict: List[str]) -> bool:
"""Recursion. The worst performance is trying all of the 2^(n-1) partitions. There are quite duplications in the pervious implementaiotn. E.g. + 'abcde' - 'bcde' -> ['cde', 'de', 'e', ''] - 'cde' - 'de' - 'e' - ''"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def wordBreak_v1(self, s: str, wordDict: List[str]) -> bool:
"""Recursion. The worst performance is trying all of the 2^(n-1) partitions. There are quite duplications in the pervious implementaiotn. E.g. + 'abcde' - 'bcde' -> ['cde', 'de', 'e', ''] - 'cde' - 'de' - 'e' - ''"""
def wb... | the_stack_v2_python_sparse | python3/dynamic_programming/word_break.py | victorchu/algorithms | train | 0 | |
af15dc2333d6fb9f33f8f7b9703e55149d65f034 | [
"limit = 20000\nmocker.patch.object(demisto, 'getLastRun', return_value=None)\nmain(command='fetch-events', params=PARAMS | {'limit': limit})\nassert str(MAX_ALERTS_PAGE_SIZE) == requests_mock.request_history[0].qs['$top'][0]",
"mocker.patch.object(Microsoft365DefenderEventCollector.DefenderGetEvents, 'run', side... | <|body_start_0|>
limit = 20000
mocker.patch.object(demisto, 'getLastRun', return_value=None)
main(command='fetch-events', params=PARAMS | {'limit': limit})
assert str(MAX_ALERTS_PAGE_SIZE) == requests_mock.request_history[0].qs['$top'][0]
<|end_body_0|>
<|body_start_1|>
mocker.p... | TestFetchEventsEdgeCases | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFetchEventsEdgeCases:
def test_fetch_events_with_high_limit(self, mocker, requests_mock):
"""Given - limit args > the max allowed MAX_ALERTS_PAGE_SIZE (10,000) When - call the main for the command fetch_events. Then - validate the `limit` value was set top 10,000 and passed as the `$... | stack_v2_sparse_classes_36k_train_018892 | 8,420 | permissive | [
{
"docstring": "Given - limit args > the max allowed MAX_ALERTS_PAGE_SIZE (10,000) When - call the main for the command fetch_events. Then - validate the `limit` value was set top 10,000 and passed as the `$top` query param",
"name": "test_fetch_events_with_high_limit",
"signature": "def test_fetch_even... | 2 | null | Implement the Python class `TestFetchEventsEdgeCases` described below.
Class description:
Implement the TestFetchEventsEdgeCases class.
Method signatures and docstrings:
- def test_fetch_events_with_high_limit(self, mocker, requests_mock): Given - limit args > the max allowed MAX_ALERTS_PAGE_SIZE (10,000) When - call... | Implement the Python class `TestFetchEventsEdgeCases` described below.
Class description:
Implement the TestFetchEventsEdgeCases class.
Method signatures and docstrings:
- def test_fetch_events_with_high_limit(self, mocker, requests_mock): Given - limit args > the max allowed MAX_ALERTS_PAGE_SIZE (10,000) When - call... | 890def5a0e0ae8d6eaa538148249ddbc851dbb6b | <|skeleton|>
class TestFetchEventsEdgeCases:
def test_fetch_events_with_high_limit(self, mocker, requests_mock):
"""Given - limit args > the max allowed MAX_ALERTS_PAGE_SIZE (10,000) When - call the main for the command fetch_events. Then - validate the `limit` value was set top 10,000 and passed as the `$... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestFetchEventsEdgeCases:
def test_fetch_events_with_high_limit(self, mocker, requests_mock):
"""Given - limit args > the max allowed MAX_ALERTS_PAGE_SIZE (10,000) When - call the main for the command fetch_events. Then - validate the `limit` value was set top 10,000 and passed as the `$top` query par... | the_stack_v2_python_sparse | Packs/MicrosoftDefenderAdvancedThreatProtection/Integrations/Microsoft365DefenderEventCollector/Microsoft365DefenderEventCollector_test.py | demisto/content | train | 1,023 | |
922b61af26afb104a6d1f9d64eb57143c33ed5c9 | [
"if not features.has(READ_FEATURE, organization, actor=request.user):\n return Response(status=404)\nif isinstance(dashboard, dict):\n return self.respond(dashboard)\nreturn self.respond(serialize(dashboard, request.user))",
"if not features.has(EDIT_FEATURE, organization, actor=request.user):\n return R... | <|body_start_0|>
if not features.has(READ_FEATURE, organization, actor=request.user):
return Response(status=404)
if isinstance(dashboard, dict):
return self.respond(dashboard)
return self.respond(serialize(dashboard, request.user))
<|end_body_0|>
<|body_start_1|>
... | OrganizationDashboardDetailsEndpoint | [
"Apache-2.0",
"BUSL-1.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrganizationDashboardDetailsEndpoint:
def get(self, request: Request, organization, dashboard) -> Response:
"""Retrieve an Organization's Dashboard ```````````````````````````````````` Return details on an individual organization's dashboard. :pparam Organization organization: the organi... | stack_v2_sparse_classes_36k_train_018893 | 6,053 | permissive | [
{
"docstring": "Retrieve an Organization's Dashboard ```````````````````````````````````` Return details on an individual organization's dashboard. :pparam Organization organization: the organization the dashboard belongs to. :pparam Dashboard dashboard: the dashboard object :auth: required",
"name": "get",... | 3 | null | Implement the Python class `OrganizationDashboardDetailsEndpoint` described below.
Class description:
Implement the OrganizationDashboardDetailsEndpoint class.
Method signatures and docstrings:
- def get(self, request: Request, organization, dashboard) -> Response: Retrieve an Organization's Dashboard ```````````````... | Implement the Python class `OrganizationDashboardDetailsEndpoint` described below.
Class description:
Implement the OrganizationDashboardDetailsEndpoint class.
Method signatures and docstrings:
- def get(self, request: Request, organization, dashboard) -> Response: Retrieve an Organization's Dashboard ```````````````... | d9dd4f382f96b5c4576b64cbf015db651556c18b | <|skeleton|>
class OrganizationDashboardDetailsEndpoint:
def get(self, request: Request, organization, dashboard) -> Response:
"""Retrieve an Organization's Dashboard ```````````````````````````````````` Return details on an individual organization's dashboard. :pparam Organization organization: the organi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrganizationDashboardDetailsEndpoint:
def get(self, request: Request, organization, dashboard) -> Response:
"""Retrieve an Organization's Dashboard ```````````````````````````````````` Return details on an individual organization's dashboard. :pparam Organization organization: the organization the das... | the_stack_v2_python_sparse | src/sentry/api/endpoints/organization_dashboard_details.py | nagyist/sentry | train | 0 | |
1a26e4dc0293ea5e61eba87cdc6247a267ac67c2 | [
"max_profit = 0\nprev_price = prices[0]\nfor price in prices[1:]:\n if price > prev_price:\n max_profit += price - prev_price\n prev_price = price\nreturn max_profit",
"n = len(prices)\ndp = [[None, None] for _ in range(n)]\ndp[0][0], dp[0][1] = (0, -prices[0])\nfor idx in range(1, n):\n dp[idx][0... | <|body_start_0|>
max_profit = 0
prev_price = prices[0]
for price in prices[1:]:
if price > prev_price:
max_profit += price - prev_price
prev_price = price
return max_profit
<|end_body_0|>
<|body_start_1|>
n = len(prices)
dp = [[Non... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices: List[int]) -> int:
"""贪心"""
<|body_0|>
def maxProfitDP(self, prices: List[int]) -> int:
"""动态规划-二维数组"""
<|body_1|>
def maxProfitDPOPT(self, prices: List[int]) -> int:
"""动态规划-空间优化"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k_train_018894 | 2,597 | no_license | [
{
"docstring": "贪心",
"name": "maxProfit",
"signature": "def maxProfit(self, prices: List[int]) -> int"
},
{
"docstring": "动态规划-二维数组",
"name": "maxProfitDP",
"signature": "def maxProfitDP(self, prices: List[int]) -> int"
},
{
"docstring": "动态规划-空间优化",
"name": "maxProfitDPOPT",... | 3 | stack_v2_sparse_classes_30k_train_011719 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices: List[int]) -> int: 贪心
- def maxProfitDP(self, prices: List[int]) -> int: 动态规划-二维数组
- def maxProfitDPOPT(self, prices: List[int]) -> int: 动态规划-空间优化 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices: List[int]) -> int: 贪心
- def maxProfitDP(self, prices: List[int]) -> int: 动态规划-二维数组
- def maxProfitDPOPT(self, prices: List[int]) -> int: 动态规划-空间优化
<|... | 52756b30e9d51794591aca030bc918e707f473f1 | <|skeleton|>
class Solution:
def maxProfit(self, prices: List[int]) -> int:
"""贪心"""
<|body_0|>
def maxProfitDP(self, prices: List[int]) -> int:
"""动态规划-二维数组"""
<|body_1|>
def maxProfitDPOPT(self, prices: List[int]) -> int:
"""动态规划-空间优化"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, prices: List[int]) -> int:
"""贪心"""
max_profit = 0
prev_price = prices[0]
for price in prices[1:]:
if price > prev_price:
max_profit += price - prev_price
prev_price = price
return max_profit
def... | the_stack_v2_python_sparse | 122.买卖股票的最佳时机II/solution.py | QtTao/daily_leetcode | train | 0 | |
c77c50153c757aae12552c1e1880a31ec1d9f9a1 | [
"kwargs['add_start'] = True\nkwargs['add_end'] = True\nobs = TorchRankerAgent.vectorize(self, *args, **kwargs)\nreturn obs",
"if 'add_start' in kwargs:\n kwargs['add_start'] = True\n kwargs['add_end'] = True\nreturn super()._vectorize_text(*args, **kwargs)",
"obs = super()._set_text_vec(*args, **kwargs)\n... | <|body_start_0|>
kwargs['add_start'] = True
kwargs['add_end'] = True
obs = TorchRankerAgent.vectorize(self, *args, **kwargs)
return obs
<|end_body_0|>
<|body_start_1|>
if 'add_start' in kwargs:
kwargs['add_start'] = True
kwargs['add_end'] = True
r... | Bi-encoder Transformer Agent. Equivalent of bert_ranker/biencoder but does not rely on an external library (hugging face). | BiencoderAgent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BiencoderAgent:
"""Bi-encoder Transformer Agent. Equivalent of bert_ranker/biencoder but does not rely on an external library (hugging face)."""
def vectorize(self, *args, **kwargs):
"""Add the start and end token to the text."""
<|body_0|>
def _vectorize_text(self, *arg... | stack_v2_sparse_classes_36k_train_018895 | 5,244 | permissive | [
{
"docstring": "Add the start and end token to the text.",
"name": "vectorize",
"signature": "def vectorize(self, *args, **kwargs)"
},
{
"docstring": "Override to add start end tokens. necessary for fixed cands.",
"name": "_vectorize_text",
"signature": "def _vectorize_text(self, *args, ... | 3 | stack_v2_sparse_classes_30k_train_008610 | Implement the Python class `BiencoderAgent` described below.
Class description:
Bi-encoder Transformer Agent. Equivalent of bert_ranker/biencoder but does not rely on an external library (hugging face).
Method signatures and docstrings:
- def vectorize(self, *args, **kwargs): Add the start and end token to the text.
... | Implement the Python class `BiencoderAgent` described below.
Class description:
Bi-encoder Transformer Agent. Equivalent of bert_ranker/biencoder but does not rely on an external library (hugging face).
Method signatures and docstrings:
- def vectorize(self, *args, **kwargs): Add the start and end token to the text.
... | e1d899edfb92471552bae153f59ad30aa7fca468 | <|skeleton|>
class BiencoderAgent:
"""Bi-encoder Transformer Agent. Equivalent of bert_ranker/biencoder but does not rely on an external library (hugging face)."""
def vectorize(self, *args, **kwargs):
"""Add the start and end token to the text."""
<|body_0|>
def _vectorize_text(self, *arg... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BiencoderAgent:
"""Bi-encoder Transformer Agent. Equivalent of bert_ranker/biencoder but does not rely on an external library (hugging face)."""
def vectorize(self, *args, **kwargs):
"""Add the start and end token to the text."""
kwargs['add_start'] = True
kwargs['add_end'] = True... | the_stack_v2_python_sparse | parlai/agents/transformer/biencoder.py | facebookresearch/ParlAI | train | 10,943 |
a873c31f705f7238e5aa8ea8aaeb61e7323a4fd6 | [
"FunctionFieldMorphism.__init__(self, parent, im_gen, base_morphism)\nR = self.codomain()['X']\nv = parent.domain().polynomial().list()\nif base_morphism is not None:\n v = [base_morphism(a) for a in v]\nf = R(v)\nif f(im_gen):\n raise ValueError('invalid morphism')",
"v = x.list()\nif self._base_morphism i... | <|body_start_0|>
FunctionFieldMorphism.__init__(self, parent, im_gen, base_morphism)
R = self.codomain()['X']
v = parent.domain().polynomial().list()
if base_morphism is not None:
v = [base_morphism(a) for a in v]
f = R(v)
if f(im_gen):
raise Value... | Morphism from a finite extension of a function field to a function field. EXAMPLES:: sage: K.<x> = FunctionField(QQ); R.<y> = K[] sage: L.<y> = K.extension(y^2 - x) sage: f = L.hom(-y); f Function Field endomorphism of Function field in y defined by y^2 - x Defn: y |--> -y | FunctionFieldMorphism_polymod | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FunctionFieldMorphism_polymod:
"""Morphism from a finite extension of a function field to a function field. EXAMPLES:: sage: K.<x> = FunctionField(QQ); R.<y> = K[] sage: L.<y> = K.extension(y^2 - x) sage: f = L.hom(-y); f Function Field endomorphism of Function field in y defined by y^2 - x Defn:... | stack_v2_sparse_classes_36k_train_018896 | 18,835 | no_license | [
{
"docstring": "EXAMPLES:: sage: K.<x> = FunctionField(GF(7)); R.<y> = K[] sage: L.<y> = K.extension(y^3 + 6*x^3 + x) sage: f = L.hom(y*2); f Function Field endomorphism of Function field in y defined by y^3 + 6*x^3 + x Defn: y |--> 2*y sage: type(f) <class 'sage.rings.function_field.maps.FunctionFieldMorphism_... | 2 | null | Implement the Python class `FunctionFieldMorphism_polymod` described below.
Class description:
Morphism from a finite extension of a function field to a function field. EXAMPLES:: sage: K.<x> = FunctionField(QQ); R.<y> = K[] sage: L.<y> = K.extension(y^2 - x) sage: f = L.hom(-y); f Function Field endomorphism of Funct... | Implement the Python class `FunctionFieldMorphism_polymod` described below.
Class description:
Morphism from a finite extension of a function field to a function field. EXAMPLES:: sage: K.<x> = FunctionField(QQ); R.<y> = K[] sage: L.<y> = K.extension(y^2 - x) sage: f = L.hom(-y); f Function Field endomorphism of Funct... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class FunctionFieldMorphism_polymod:
"""Morphism from a finite extension of a function field to a function field. EXAMPLES:: sage: K.<x> = FunctionField(QQ); R.<y> = K[] sage: L.<y> = K.extension(y^2 - x) sage: f = L.hom(-y); f Function Field endomorphism of Function field in y defined by y^2 - x Defn:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FunctionFieldMorphism_polymod:
"""Morphism from a finite extension of a function field to a function field. EXAMPLES:: sage: K.<x> = FunctionField(QQ); R.<y> = K[] sage: L.<y> = K.extension(y^2 - x) sage: f = L.hom(-y); f Function Field endomorphism of Function field in y defined by y^2 - x Defn: y |--> -y"""... | the_stack_v2_python_sparse | sage/src/sage/rings/function_field/maps.py | bopopescu/geosci | train | 0 |
cb551029c7d4842f5f0ecf73a092b44db105a69f | [
"response = self.client.get(endpoint, filters, format='json')\nself.assertEqual(response.status_code, status_code)\nreturn response.data",
"user_as_owner = Owner.get_owner(self.user)\nself.assertEqual(type(user_as_owner), Owner)\ngroup_as_owner = Owner.get_owner(self.group)\nself.assertEqual(type(group_as_owner),... | <|body_start_0|>
response = self.client.get(endpoint, filters, format='json')
self.assertEqual(response.status_code, status_code)
return response.data
<|end_body_0|>
<|body_start_1|>
user_as_owner = Owner.get_owner(self.user)
self.assertEqual(type(user_as_owner), Owner)
... | Some simplistic tests to ensure the Owner model is setup correctly. | OwnerModelTest | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OwnerModelTest:
"""Some simplistic tests to ensure the Owner model is setup correctly."""
def do_request(self, endpoint, filters, status_code=200):
"""Perform an API request"""
<|body_0|>
def test_owner(self):
"""Tests for the 'owner' model"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_018897 | 9,692 | permissive | [
{
"docstring": "Perform an API request",
"name": "do_request",
"signature": "def do_request(self, endpoint, filters, status_code=200)"
},
{
"docstring": "Tests for the 'owner' model",
"name": "test_owner",
"signature": "def test_owner(self)"
},
{
"docstring": "Test user APIs.",
... | 4 | stack_v2_sparse_classes_30k_train_019157 | Implement the Python class `OwnerModelTest` described below.
Class description:
Some simplistic tests to ensure the Owner model is setup correctly.
Method signatures and docstrings:
- def do_request(self, endpoint, filters, status_code=200): Perform an API request
- def test_owner(self): Tests for the 'owner' model
-... | Implement the Python class `OwnerModelTest` described below.
Class description:
Some simplistic tests to ensure the Owner model is setup correctly.
Method signatures and docstrings:
- def do_request(self, endpoint, filters, status_code=200): Perform an API request
- def test_owner(self): Tests for the 'owner' model
-... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class OwnerModelTest:
"""Some simplistic tests to ensure the Owner model is setup correctly."""
def do_request(self, endpoint, filters, status_code=200):
"""Perform an API request"""
<|body_0|>
def test_owner(self):
"""Tests for the 'owner' model"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OwnerModelTest:
"""Some simplistic tests to ensure the Owner model is setup correctly."""
def do_request(self, endpoint, filters, status_code=200):
"""Perform an API request"""
response = self.client.get(endpoint, filters, format='json')
self.assertEqual(response.status_code, stat... | the_stack_v2_python_sparse | InvenTree/users/tests.py | inventree/InvenTree | train | 3,077 |
41c19c704636a503d3c460b975214970ed878edf | [
"if not sequence:\n with self.assertRaises(ValueError):\n isambard.ampal.specifications.DNADuplex.from_sequence(sequence)\nelse:\n dd = isambard.ampal.specifications.DNADuplex.from_sequence(sequence)\n self.assertEqual(len(dd), 2)\n self.assertEqual(len(dd[0]), len(sequence))\n self.assertEqua... | <|body_start_0|>
if not sequence:
with self.assertRaises(ValueError):
isambard.ampal.specifications.DNADuplex.from_sequence(sequence)
else:
dd = isambard.ampal.specifications.DNADuplex.from_sequence(sequence)
self.assertEqual(len(dd), 2)
se... | TestDNADuplex | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDNADuplex:
def test_hna_random_seq(self, sequence):
"""Test straight duplex building using random DNA sequences."""
<|body_0|>
def test_dna_duplex_ints(self, start, end):
"""Test DNADuplex with random int start and end."""
<|body_1|>
def test_dna_dup... | stack_v2_sparse_classes_36k_train_018898 | 8,451 | permissive | [
{
"docstring": "Test straight duplex building using random DNA sequences.",
"name": "test_hna_random_seq",
"signature": "def test_hna_random_seq(self, sequence)"
},
{
"docstring": "Test DNADuplex with random int start and end.",
"name": "test_dna_duplex_ints",
"signature": "def test_dna_... | 4 | stack_v2_sparse_classes_30k_train_019435 | Implement the Python class `TestDNADuplex` described below.
Class description:
Implement the TestDNADuplex class.
Method signatures and docstrings:
- def test_hna_random_seq(self, sequence): Test straight duplex building using random DNA sequences.
- def test_dna_duplex_ints(self, start, end): Test DNADuplex with ran... | Implement the Python class `TestDNADuplex` described below.
Class description:
Implement the TestDNADuplex class.
Method signatures and docstrings:
- def test_hna_random_seq(self, sequence): Test straight duplex building using random DNA sequences.
- def test_dna_duplex_ints(self, start, end): Test DNADuplex with ran... | ebc33b48a28ad217e18f93b910dfba46e6e71e07 | <|skeleton|>
class TestDNADuplex:
def test_hna_random_seq(self, sequence):
"""Test straight duplex building using random DNA sequences."""
<|body_0|>
def test_dna_duplex_ints(self, start, end):
"""Test DNADuplex with random int start and end."""
<|body_1|>
def test_dna_dup... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestDNADuplex:
def test_hna_random_seq(self, sequence):
"""Test straight duplex building using random DNA sequences."""
if not sequence:
with self.assertRaises(ValueError):
isambard.ampal.specifications.DNADuplex.from_sequence(sequence)
else:
dd ... | the_stack_v2_python_sparse | unit_tests/test_na_building.py | woolfson-group/isambard | train | 7 | |
02dbfab5e8f72aff8b7f8abdadee89db5638d48f | [
"profile.addListsToCraftTypeRepository('skeinforge_tools.craft_plugins.comb.html', self)\nself.fileNameInput = settings.FileNameInput().getFromFileName(interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Comb', self, '')\nself.openWikiManualHelpPage = settings.HelpPage().getOpenFromAbsolute('http://www.... | <|body_start_0|>
profile.addListsToCraftTypeRepository('skeinforge_tools.craft_plugins.comb.html', self)
self.fileNameInput = settings.FileNameInput().getFromFileName(interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Comb', self, '')
self.openWikiManualHelpPage = settings.HelpPage(... | A class to handle the comb settings. | CombRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CombRepository:
"""A class to handle the comb settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Comb button has been clicked."""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_36k_train_018899 | 18,456 | no_license | [
{
"docstring": "Set the default settings, execute title & settings fileName.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Comb button has been clicked.",
"name": "execute",
"signature": "def execute(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013836 | Implement the Python class `CombRepository` described below.
Class description:
A class to handle the comb settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Comb button has been clicked. | Implement the Python class `CombRepository` described below.
Class description:
A class to handle the comb settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Comb button has been clicked.
<|skeleton|>
class CombRepositor... | fd69d8e856780c826386dc973ceabcc03623f3e8 | <|skeleton|>
class CombRepository:
"""A class to handle the comb settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Comb button has been clicked."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CombRepository:
"""A class to handle the comb settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
profile.addListsToCraftTypeRepository('skeinforge_tools.craft_plugins.comb.html', self)
self.fileNameInput = settings.FileNameInput().g... | the_stack_v2_python_sparse | skeinforge_tools/craft_plugins/comb.py | bmander/skeinforge | train | 34 |
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