blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
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value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
85c92667f174749c2d68e710f2fce59dc1338007 | [
"self.plugin = OpticalFlow(iterations=20)\nself.plugin.data_smoothing_radius = 3\nself.plugin.boxsize = 3\nrainfall_block = np.array([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [1.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0... | <|body_start_0|>
self.plugin = OpticalFlow(iterations=20)
self.plugin.data_smoothing_radius = 3
self.plugin.boxsize = 3
rainfall_block = np.array([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [1.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0], [1.0, 2.0, 3.0, 3.0, 2.0, 1.0,... | Test calculation of advection displacement vectors | Test_calculate_displacement_vectors | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_calculate_displacement_vectors:
"""Test calculation of advection displacement vectors"""
def setUp(self):
"""Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sens... | stack_v2_sparse_classes_75kplus_train_072100 | 37,677 | permissive | [
{
"docstring": "Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sensibly.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test outputs are of the correct typ... | 3 | null | Implement the Python class `Test_calculate_displacement_vectors` described below.
Class description:
Test calculation of advection displacement vectors
Method signatures and docstrings:
- def setUp(self): Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zer... | Implement the Python class `Test_calculate_displacement_vectors` described below.
Class description:
Test calculation of advection displacement vectors
Method signatures and docstrings:
- def setUp(self): Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zer... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_calculate_displacement_vectors:
"""Test calculation of advection displacement vectors"""
def setUp(self):
"""Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sens... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test_calculate_displacement_vectors:
"""Test calculation of advection displacement vectors"""
def setUp(self):
"""Set up plugin options and input rainfall-like matrices that produce non-singular outputs. Large matrices with zeros are needed for the smoothing algorithms to behave sensibly."""
... | the_stack_v2_python_sparse | improver_tests/nowcasting/optical_flow/test_OpticalFlow.py | metoppv/improver | train | 101 |
d58f11e5172c450c8744e65b400586f3f40cfeff | [
"self.stacks = []\nself.cap = capacity\nself.open_positions = []",
"while self.open_positions and self.open_positions[0] < len(self.stacks) and (len(self.stacks[self.open_positions[0]]) == self.cap):\n heapq.heappop(self.open_positions)\nif not self.open_positions:\n heapq.heappush(self.open_positions, len(... | <|body_start_0|>
self.stacks = []
self.cap = capacity
self.open_positions = []
<|end_body_0|>
<|body_start_1|>
while self.open_positions and self.open_positions[0] < len(self.stacks) and (len(self.stacks[self.open_positions[0]]) == self.cap):
heapq.heappop(self.open_position... | DinnerPlates | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DinnerPlates:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def push(self, val):
""":type val: int :rtype: None"""
<|body_1|>
def pop(self):
""":rtype: int"""
<|body_2|>
def popAtStack(self, index):
""":t... | stack_v2_sparse_classes_75kplus_train_072101 | 1,445 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type val: int :rtype: None",
"name": "push",
"signature": "def push(self, val)"
},
{
"docstring": ":rtype: int",
"name": "pop",
"signature": "def pop(... | 4 | stack_v2_sparse_classes_30k_val_001469 | Implement the Python class `DinnerPlates` described below.
Class description:
Implement the DinnerPlates class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def push(self, val): :type val: int :rtype: None
- def pop(self): :rtype: int
- def popAtStack(self, index): :type ind... | Implement the Python class `DinnerPlates` described below.
Class description:
Implement the DinnerPlates class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def push(self, val): :type val: int :rtype: None
- def pop(self): :rtype: int
- def popAtStack(self, index): :type ind... | 20623defecf65cbc35b194d8b60d8b211816ee4f | <|skeleton|>
class DinnerPlates:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def push(self, val):
""":type val: int :rtype: None"""
<|body_1|>
def pop(self):
""":rtype: int"""
<|body_2|>
def popAtStack(self, index):
""":t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DinnerPlates:
def __init__(self, capacity):
""":type capacity: int"""
self.stacks = []
self.cap = capacity
self.open_positions = []
def push(self, val):
""":type val: int :rtype: None"""
while self.open_positions and self.open_positions[0] < len(self.stacks... | the_stack_v2_python_sparse | in_Python/1172 Dinner Plate Stacks.py | YangLiyli131/Leetcode2020 | train | 0 | |
77794aca06a8a3554f00d620a3f12e60353e90ff | [
"if self.action == 'retrieve':\n return VideoAnalyticsSerializer\nreturn super().get_serializer_class()",
"queryset = super().get_queryset().filter(branch__course__in=self.request.user.courses).filter(branch__course=self.kwargs['course_id'])\nif self.action == 'list':\n queryset = queryset.order_by('lesson_... | <|body_start_0|>
if self.action == 'retrieve':
return VideoAnalyticsSerializer
return super().get_serializer_class()
<|end_body_0|>
<|body_start_1|>
queryset = super().get_queryset().filter(branch__course__in=self.request.user.courses).filter(branch__course=self.kwargs['course_id'])... | VideoAnalyticsViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VideoAnalyticsViewSet:
def get_serializer_class(self):
"""Return VideoAnalyticsSerializer for single objects, VideoSerializer for multiple objects."""
<|body_0|>
def get_queryset(self):
"""Return a queryset of videos that the current user has access to. Order by the ... | stack_v2_sparse_classes_75kplus_train_072102 | 9,654 | no_license | [
{
"docstring": "Return VideoAnalyticsSerializer for single objects, VideoSerializer for multiple objects.",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": "Return a queryset of videos that the current user has access to. Order by the item order in... | 2 | stack_v2_sparse_classes_30k_train_052873 | Implement the Python class `VideoAnalyticsViewSet` described below.
Class description:
Implement the VideoAnalyticsViewSet class.
Method signatures and docstrings:
- def get_serializer_class(self): Return VideoAnalyticsSerializer for single objects, VideoSerializer for multiple objects.
- def get_queryset(self): Retu... | Implement the Python class `VideoAnalyticsViewSet` described below.
Class description:
Implement the VideoAnalyticsViewSet class.
Method signatures and docstrings:
- def get_serializer_class(self): Return VideoAnalyticsSerializer for single objects, VideoSerializer for multiple objects.
- def get_queryset(self): Retu... | f701eee3e8ced9a839401e268031c2d497252e8a | <|skeleton|>
class VideoAnalyticsViewSet:
def get_serializer_class(self):
"""Return VideoAnalyticsSerializer for single objects, VideoSerializer for multiple objects."""
<|body_0|>
def get_queryset(self):
"""Return a queryset of videos that the current user has access to. Order by the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VideoAnalyticsViewSet:
def get_serializer_class(self):
"""Return VideoAnalyticsSerializer for single objects, VideoSerializer for multiple objects."""
if self.action == 'retrieve':
return VideoAnalyticsSerializer
return super().get_serializer_class()
def get_queryset(s... | the_stack_v2_python_sparse | coursera/views.py | cornytrace/SEP-Autumn-2018-Group2-Coursera | train | 0 | |
e24408eaacadad5351b7586dd9456db3eda5c912 | [
"if not is_basic_identifier(object_type.name):\n raise BadRequest('Invalid object_type name: %s' % object_type.name)\nif not is_yaml_string_valid(object_type.definition):\n raise BadRequest('Invalid YAML definition')\nobject_type_id, version = self.clients.resource_registry.create(object_type)\nreturn object_... | <|body_start_0|>
if not is_basic_identifier(object_type.name):
raise BadRequest('Invalid object_type name: %s' % object_type.name)
if not is_yaml_string_valid(object_type.definition):
raise BadRequest('Invalid YAML definition')
object_type_id, version = self.clients.resou... | A service for defining and managing object types used as resource, messages, etc. | ObjectManagementService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObjectManagementService:
"""A service for defining and managing object types used as resource, messages, etc."""
def create_object_type(self, object_type=None):
"""Should receive an ObjectType object"""
<|body_0|>
def update_object_type(self, object_type=None):
"... | stack_v2_sparse_classes_75kplus_train_072103 | 2,353 | no_license | [
{
"docstring": "Should receive an ObjectType object",
"name": "create_object_type",
"signature": "def create_object_type(self, object_type=None)"
},
{
"docstring": "Should receive an ObjectType object",
"name": "update_object_type",
"signature": "def update_object_type(self, object_type=... | 4 | stack_v2_sparse_classes_30k_val_001519 | Implement the Python class `ObjectManagementService` described below.
Class description:
A service for defining and managing object types used as resource, messages, etc.
Method signatures and docstrings:
- def create_object_type(self, object_type=None): Should receive an ObjectType object
- def update_object_type(se... | Implement the Python class `ObjectManagementService` described below.
Class description:
A service for defining and managing object types used as resource, messages, etc.
Method signatures and docstrings:
- def create_object_type(self, object_type=None): Should receive an ObjectType object
- def update_object_type(se... | 1693081ddaacd4e72c75ab47c0289a04f08ca6c9 | <|skeleton|>
class ObjectManagementService:
"""A service for defining and managing object types used as resource, messages, etc."""
def create_object_type(self, object_type=None):
"""Should receive an ObjectType object"""
<|body_0|>
def update_object_type(self, object_type=None):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ObjectManagementService:
"""A service for defining and managing object types used as resource, messages, etc."""
def create_object_type(self, object_type=None):
"""Should receive an ObjectType object"""
if not is_basic_identifier(object_type.name):
raise BadRequest('Invalid ob... | the_stack_v2_python_sparse | ion/services/coi/object_management_service.py | sfoley/coi-services | train | 1 |
e0b32925aee455ca49a8ba47f6d45a72e7d74ee0 | [
"super().__init__()\nself.fc_1 = nn.Linear(hid_dim, pf_dim)\nself.fc_2 = nn.Linear(pf_dim, hid_dim)\nself.dropout = nn.Dropout(dropout)",
"x = self.dropout(torch.relu(self.fc_1(x)))\nx = self.fc_2(x)\nreturn x"
] | <|body_start_0|>
super().__init__()
self.fc_1 = nn.Linear(hid_dim, pf_dim)
self.fc_2 = nn.Linear(pf_dim, hid_dim)
self.dropout = nn.Dropout(dropout)
<|end_body_0|>
<|body_start_1|>
x = self.dropout(torch.relu(self.fc_1(x)))
x = self.fc_2(x)
return x
<|end_body_1|... | Fully connected feed-forward network consisting of two linear transformations with a ReLU activation in between. Args: hid_dim: the hidden size of the encoder pf_dim: the dimension of the feedforward network model dropout: the dropout value | PositionwiseFeedforwardLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PositionwiseFeedforwardLayer:
"""Fully connected feed-forward network consisting of two linear transformations with a ReLU activation in between. Args: hid_dim: the hidden size of the encoder pf_dim: the dimension of the feedforward network model dropout: the dropout value"""
def __init__(se... | stack_v2_sparse_classes_75kplus_train_072104 | 10,223 | permissive | [
{
"docstring": "Initialize model with params.",
"name": "__init__",
"signature": "def __init__(self, hid_dim, pf_dim, dropout)"
},
{
"docstring": "Run a forward pass of model over the data.",
"name": "forward",
"signature": "def forward(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_val_002083 | Implement the Python class `PositionwiseFeedforwardLayer` described below.
Class description:
Fully connected feed-forward network consisting of two linear transformations with a ReLU activation in between. Args: hid_dim: the hidden size of the encoder pf_dim: the dimension of the feedforward network model dropout: th... | Implement the Python class `PositionwiseFeedforwardLayer` described below.
Class description:
Fully connected feed-forward network consisting of two linear transformations with a ReLU activation in between. Args: hid_dim: the hidden size of the encoder pf_dim: the dimension of the feedforward network model dropout: th... | 9cdbf270487751a0ad6862b2fea2ccc0e23a0b67 | <|skeleton|>
class PositionwiseFeedforwardLayer:
"""Fully connected feed-forward network consisting of two linear transformations with a ReLU activation in between. Args: hid_dim: the hidden size of the encoder pf_dim: the dimension of the feedforward network model dropout: the dropout value"""
def __init__(se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PositionwiseFeedforwardLayer:
"""Fully connected feed-forward network consisting of two linear transformations with a ReLU activation in between. Args: hid_dim: the hidden size of the encoder pf_dim: the dimension of the feedforward network model dropout: the dropout value"""
def __init__(self, hid_dim, ... | the_stack_v2_python_sparse | caspr/models/transformer.py | microsoft/CASPR | train | 29 |
c2daa60062af0f947ca5adcfb6c793504d0d9f42 | [
"login_page.LoginPage(self.driver).login()\nsleep(2)\nlandlord_nav_page.LandlordNavPage(self.driver).Iamlandlord()\nsleep(2)\nlandlord_nav_page.LandlordNavPage(self.driver).close_weiChat()\nsleep(2)\nlandlord_nav_page.LandlordNavPage(self.driver).microshopmanager()\npo = landlord_microshopmanager_page.LandlordMicro... | <|body_start_0|>
login_page.LoginPage(self.driver).login()
sleep(2)
landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord()
sleep(2)
landlord_nav_page.LandlordNavPage(self.driver).close_weiChat()
sleep(2)
landlord_nav_page.LandlordNavPage(self.driver).microsh... | 房东微店 | TestMicroshopManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestMicroshopManager:
"""房东微店"""
def test_edit_weidian(self):
"""编辑微店，更改微店名称和微店介绍"""
<|body_0|>
def test_view_again(self):
"""查看房东说明"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
login_page.LoginPage(self.driver).login()
sleep(2)
... | stack_v2_sparse_classes_75kplus_train_072105 | 1,748 | permissive | [
{
"docstring": "编辑微店，更改微店名称和微店介绍",
"name": "test_edit_weidian",
"signature": "def test_edit_weidian(self)"
},
{
"docstring": "查看房东说明",
"name": "test_view_again",
"signature": "def test_view_again(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016961 | Implement the Python class `TestMicroshopManager` described below.
Class description:
房东微店
Method signatures and docstrings:
- def test_edit_weidian(self): 编辑微店，更改微店名称和微店介绍
- def test_view_again(self): 查看房东说明 | Implement the Python class `TestMicroshopManager` described below.
Class description:
房东微店
Method signatures and docstrings:
- def test_edit_weidian(self): 编辑微店，更改微店名称和微店介绍
- def test_view_again(self): 查看房东说明
<|skeleton|>
class TestMicroshopManager:
"""房东微店"""
def test_edit_weidian(self):
"""编辑微店，更改... | 192c70c49a8e9e072b9d0d0136f02c653c589410 | <|skeleton|>
class TestMicroshopManager:
"""房东微店"""
def test_edit_weidian(self):
"""编辑微店，更改微店名称和微店介绍"""
<|body_0|>
def test_view_again(self):
"""查看房东说明"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestMicroshopManager:
"""房东微店"""
def test_edit_weidian(self):
"""编辑微店，更改微店名称和微店介绍"""
login_page.LoginPage(self.driver).login()
sleep(2)
landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord()
sleep(2)
landlord_nav_page.LandlordNavPage(self.driver).clos... | the_stack_v2_python_sparse | mayi/test_case/test_landlord_microshopmanager.py | 18701016443/mayi | train | 0 |
dec15e3d57cee6d22de2450fa64d084bcd37e05d | [
"self.redirect_settings = redirect_settings\nself.signer_info = signer_info\nself.extra_info = extra_info\nself.ui = ui\nself.notifications = notifications\nself.tags = tags\nself.order = order\nself.required = required\nself.sign_url_expires = APIHelper.RFC3339DateTime(sign_url_expires) if sign_url_expires else No... | <|body_start_0|>
self.redirect_settings = redirect_settings
self.signer_info = signer_info
self.extra_info = extra_info
self.ui = ui
self.notifications = notifications
self.tags = tags
self.order = order
self.required = required
self.sign_url_expir... | Implementation of the 'UpdateSignerRequest' model. TODO: type model description here. Attributes: redirect_settings (RedirectSettings): Return urls and domain settings signer_info (SignerInfo): Define the signers name, mobile and email if you are using notifications extra_info (ExtraInfoSignerRequest): Coming soon: Do ... | UpdateSignerRequest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateSignerRequest:
"""Implementation of the 'UpdateSignerRequest' model. TODO: type model description here. Attributes: redirect_settings (RedirectSettings): Return urls and domain settings signer_info (SignerInfo): Define the signers name, mobile and email if you are using notifications extra_... | stack_v2_sparse_classes_75kplus_train_072106 | 5,602 | permissive | [
{
"docstring": "Constructor for the UpdateSignerRequest class",
"name": "__init__",
"signature": "def __init__(self, redirect_settings=None, signer_info=None, extra_info=None, ui=None, notifications=None, tags=None, order=None, required=None, sign_url_expires=None, additional_properties={})"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_011539 | Implement the Python class `UpdateSignerRequest` described below.
Class description:
Implementation of the 'UpdateSignerRequest' model. TODO: type model description here. Attributes: redirect_settings (RedirectSettings): Return urls and domain settings signer_info (SignerInfo): Define the signers name, mobile and emai... | Implement the Python class `UpdateSignerRequest` described below.
Class description:
Implementation of the 'UpdateSignerRequest' model. TODO: type model description here. Attributes: redirect_settings (RedirectSettings): Return urls and domain settings signer_info (SignerInfo): Define the signers name, mobile and emai... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class UpdateSignerRequest:
"""Implementation of the 'UpdateSignerRequest' model. TODO: type model description here. Attributes: redirect_settings (RedirectSettings): Return urls and domain settings signer_info (SignerInfo): Define the signers name, mobile and email if you are using notifications extra_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateSignerRequest:
"""Implementation of the 'UpdateSignerRequest' model. TODO: type model description here. Attributes: redirect_settings (RedirectSettings): Return urls and domain settings signer_info (SignerInfo): Define the signers name, mobile and email if you are using notifications extra_info (ExtraIn... | the_stack_v2_python_sparse | idfy_rest_client/models/update_signer_request.py | dealflowteam/Idfy | train | 0 |
9fadff94a61ed2e9b2d4adc3033d76075982f68e | [
"body = M.ResolveNames({'ReturnFullContactData': 'true'}, *[M.UnresolvedEntry(x) for x in names])\nkwargs = {}\nif principal:\n kwargs['impersonation'] = principal\nsuper().__init__(body, **kwargs)",
"resp = sess.soap(self)\nresolutions = resp.xpath('//t:Resolution', namespaces=NAMESPACES)\nreturn resolutions"... | <|body_start_0|>
body = M.ResolveNames({'ReturnFullContactData': 'true'}, *[M.UnresolvedEntry(x) for x in names])
kwargs = {}
if principal:
kwargs['impersonation'] = principal
super().__init__(body, **kwargs)
<|end_body_0|>
<|body_start_1|>
resp = sess.soap(self)
... | An EWS request to resolve email addresses and display names. | ResolveNamesRequest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResolveNamesRequest:
"""An EWS request to resolve email addresses and display names."""
def __init__(self, names, principal=None):
"""Initialize the request. :param names: The list of names to resolve."""
<|body_0|>
def send(self, sess):
"""Send the resolve reque... | stack_v2_sparse_classes_75kplus_train_072107 | 1,790 | permissive | [
{
"docstring": "Initialize the request. :param names: The list of names to resolve.",
"name": "__init__",
"signature": "def __init__(self, names, principal=None)"
},
{
"docstring": "Send the resolve request, and return a list of user info objects. :type sess: respa_exchange.session.ExchangeSessi... | 2 | null | Implement the Python class `ResolveNamesRequest` described below.
Class description:
An EWS request to resolve email addresses and display names.
Method signatures and docstrings:
- def __init__(self, names, principal=None): Initialize the request. :param names: The list of names to resolve.
- def send(self, sess): S... | Implement the Python class `ResolveNamesRequest` described below.
Class description:
An EWS request to resolve email addresses and display names.
Method signatures and docstrings:
- def __init__(self, names, principal=None): Initialize the request. :param names: The list of names to resolve.
- def send(self, sess): S... | e6ae93087dde0eb62f859da732ee19d0b6c5fccf | <|skeleton|>
class ResolveNamesRequest:
"""An EWS request to resolve email addresses and display names."""
def __init__(self, names, principal=None):
"""Initialize the request. :param names: The list of names to resolve."""
<|body_0|>
def send(self, sess):
"""Send the resolve reque... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResolveNamesRequest:
"""An EWS request to resolve email addresses and display names."""
def __init__(self, names, principal=None):
"""Initialize the request. :param names: The list of names to resolve."""
body = M.ResolveNames({'ReturnFullContactData': 'true'}, *[M.UnresolvedEntry(x) for ... | the_stack_v2_python_sparse | respa_exchange/ews/user.py | City-of-Helsinki/respa | train | 69 |
09a2021dafc40470c5a853dc987d29047c04990e | [
"self.x_vel = self.y_vel = self.y_vel_i = 0\nself.grav = 20\nself.fall = False\nself.time = None",
"if self.fall:\n time_now = pg.time.get_ticks()\n if not self.time:\n self.time = time_now\n self.y_vel = self.grav * ((time_now - self.time) / 1000.0) + self.y_vel_i\nelse:\n self.time = None\n ... | <|body_start_0|>
self.x_vel = self.y_vel = self.y_vel_i = 0
self.grav = 20
self.fall = False
self.time = None
<|end_body_0|>
<|body_start_1|>
if self.fall:
time_now = pg.time.get_ticks()
if not self.time:
self.time = time_now
s... | A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself. | _Physics | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Physics:
"""A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself."""
def __init__(self):
"""You can experiment with different gravity h... | stack_v2_sparse_classes_75kplus_train_072108 | 8,368 | no_license | [
{
"docstring": "You can experiment with different gravity here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "If the player is falling, calculate current y velocity.",
"name": "physics_update",
"signature": "def physics_update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_020766 | Implement the Python class `_Physics` described below.
Class description:
A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself.
Method signatures and docstrings:
- def __... | Implement the Python class `_Physics` described below.
Class description:
A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself.
Method signatures and docstrings:
- def __... | 7fc4e0d98d06b4e28b09844babb2452e229a603c | <|skeleton|>
class _Physics:
"""A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself."""
def __init__(self):
"""You can experiment with different gravity h... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _Physics:
"""A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself."""
def __init__(self):
"""You can experiment with different gravity here."""
... | the_stack_v2_python_sparse | meks-pygame-samples/platforming/fall_rotate.py | pk00749/Example_Python | train | 1 |
add24ff3a68fc2f501bf20fd1ffecd35653c8553 | [
"super(PrintCellLocations, self).__init__(experiment, name='PrintCellLocations', label=label)\nself.epoch_start = self.experiment.config.getint(self.config_section, 'epoch_start', 0)\nself.epoch_end = self.experiment.config.getint(self.config_section, 'epoch_end', default=self.experiment.config.getint('Experiment',... | <|body_start_0|>
super(PrintCellLocations, self).__init__(experiment, name='PrintCellLocations', label=label)
self.epoch_start = self.experiment.config.getint(self.config_section, 'epoch_start', 0)
self.epoch_end = self.experiment.config.getint(self.config_section, 'epoch_end', default=self.expe... | Write the x,y coordinates of each cell and its type Configuration parameters for this action are set in the [PrintCellLocations] section. Configuration Options: epoch_start The epoch at which to start executing (default: 0) epoch_end The epoch at which to stop executing (default: end of experiment) frequency The freque... | PrintCellLocations | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrintCellLocations:
"""Write the x,y coordinates of each cell and its type Configuration parameters for this action are set in the [PrintCellLocations] section. Configuration Options: epoch_start The epoch at which to start executing (default: 0) epoch_end The epoch at which to stop executing (de... | stack_v2_sparse_classes_75kplus_train_072109 | 3,422 | permissive | [
{
"docstring": "Initialize the PrintCellLocations Action",
"name": "__init__",
"signature": "def __init__(self, experiment, label=None)"
},
{
"docstring": "Execute the Action",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_022099 | Implement the Python class `PrintCellLocations` described below.
Class description:
Write the x,y coordinates of each cell and its type Configuration parameters for this action are set in the [PrintCellLocations] section. Configuration Options: epoch_start The epoch at which to start executing (default: 0) epoch_end T... | Implement the Python class `PrintCellLocations` described below.
Class description:
Write the x,y coordinates of each cell and its type Configuration parameters for this action are set in the [PrintCellLocations] section. Configuration Options: epoch_start The epoch at which to start executing (default: 0) epoch_end T... | a114ac66e62a960e18127faf52cff9e48831e212 | <|skeleton|>
class PrintCellLocations:
"""Write the x,y coordinates of each cell and its type Configuration parameters for this action are set in the [PrintCellLocations] section. Configuration Options: epoch_start The epoch at which to start executing (default: 0) epoch_end The epoch at which to stop executing (de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrintCellLocations:
"""Write the x,y coordinates of each cell and its type Configuration parameters for this action are set in the [PrintCellLocations] section. Configuration Options: epoch_start The epoch at which to start executing (default: 0) epoch_end The epoch at which to stop executing (default: end of... | the_stack_v2_python_sparse | seeds/plugins/action/PrintCellLocations.py | namlehai/seeds | train | 0 |
540cf245d71979eca721e76bc6857166d7ce46b0 | [
"self.name = name\nself.control_state_dim = control_state_dim\nself.memory_size = memory_size\nself.memory_state_dim = memory_state_dim\nself.k_smallest = k_smallest\nself.gamma = gamma\nself.init_memory = mx.sym.Variable(self.name + ':init_memory') if init_memory is None else init_memory\nself.init_write_W_r_focus... | <|body_start_0|>
self.name = name
self.control_state_dim = control_state_dim
self.memory_size = memory_size
self.memory_state_dim = memory_state_dim
self.k_smallest = k_smallest
self.gamma = gamma
self.init_memory = mx.sym.Variable(self.name + ':init_memory') if i... | LRUA | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUA:
def __init__(self, control_state_dim, memory_size, memory_state_dim, k_smallest, gamma, num_reads, num_writes, init_memory=None, init_read_W_r_focus=None, init_write_W_r_focus=None, init_write_W_w_focus=None, init_write_W_u_focus=None, name='LRUA'):
""":param control_state_dim: :pa... | stack_v2_sparse_classes_75kplus_train_072110 | 14,452 | no_license | [
{
"docstring": ":param control_state_dim: :param memory_size: :param memory_state_dim: :param k_smallest: :param gamma: :param num_reads: :param num_writes: :param init_memory: Shape (batch_size, memory_size, memory_state_dim) :param init_write_W_r_focus: Shape (batch_size, num_write, memory_size) :param init_w... | 3 | stack_v2_sparse_classes_30k_train_027444 | Implement the Python class `LRUA` described below.
Class description:
Implement the LRUA class.
Method signatures and docstrings:
- def __init__(self, control_state_dim, memory_size, memory_state_dim, k_smallest, gamma, num_reads, num_writes, init_memory=None, init_read_W_r_focus=None, init_write_W_r_focus=None, init... | Implement the Python class `LRUA` described below.
Class description:
Implement the LRUA class.
Method signatures and docstrings:
- def __init__(self, control_state_dim, memory_size, memory_state_dim, k_smallest, gamma, num_reads, num_writes, init_memory=None, init_read_W_r_focus=None, init_write_W_r_focus=None, init... | 6ed303c10eaefd7e4ee52ab56b1ced6b773de244 | <|skeleton|>
class LRUA:
def __init__(self, control_state_dim, memory_size, memory_state_dim, k_smallest, gamma, num_reads, num_writes, init_memory=None, init_read_W_r_focus=None, init_write_W_r_focus=None, init_write_W_w_focus=None, init_write_W_u_focus=None, name='LRUA'):
""":param control_state_dim: :pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUA:
def __init__(self, control_state_dim, memory_size, memory_state_dim, k_smallest, gamma, num_reads, num_writes, init_memory=None, init_read_W_r_focus=None, init_write_W_r_focus=None, init_write_W_w_focus=None, init_write_W_u_focus=None, name='LRUA'):
""":param control_state_dim: :param memory_siz... | the_stack_v2_python_sparse | arena/ops/lrua.py | flyers/Arena | train | 0 | |
12f1a10b58e738cf333837249ba81bb4dc30f4f0 | [
"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... | Alpha services are services which are not supported and can be added/removed/changed anytime, without notice. Clients should not user them and build applications on top of this service | AlphaServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlphaServicer:
"""Alpha services are services which are not supported and can be added/removed/changed anytime, without notice. Clients should not user them and build applications on top of this service"""
def Search(self, request, context):
"""you know, for search..."""
<|bo... | stack_v2_sparse_classes_75kplus_train_072111 | 16,615 | permissive | [
{
"docstring": "you know, for search...",
"name": "Search",
"signature": "def Search(self, request, context)"
},
{
"docstring": "SearchSubscribe allows the client to request a live stream of updates based on client search request",
"name": "SearchSubscribe",
"signature": "def SearchSubsc... | 2 | stack_v2_sparse_classes_30k_train_035851 | Implement the Python class `AlphaServicer` described below.
Class description:
Alpha services are services which are not supported and can be added/removed/changed anytime, without notice. Clients should not user them and build applications on top of this service
Method signatures and docstrings:
- def Search(self, r... | Implement the Python class `AlphaServicer` described below.
Class description:
Alpha services are services which are not supported and can be added/removed/changed anytime, without notice. Clients should not user them and build applications on top of this service
Method signatures and docstrings:
- def Search(self, r... | d93b5f66a00b1e3710257d607d62f9d43736304e | <|skeleton|>
class AlphaServicer:
"""Alpha services are services which are not supported and can be added/removed/changed anytime, without notice. Clients should not user them and build applications on top of this service"""
def Search(self, request, context):
"""you know, for search..."""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlphaServicer:
"""Alpha services are services which are not supported and can be added/removed/changed anytime, without notice. Clients should not user them and build applications on top of this service"""
def Search(self, request, context):
"""you know, for search..."""
context.set_code(... | the_stack_v2_python_sparse | CVP_API/Snapshot_Utils/getSnapshots_Resource_API/cloudvision-python/cloudvision/Connector/gen/router_pb2_grpc.py | Hugh-Adams/Example_Scripts | train | 4 |
15ed077d0c7468e1ea28732f7a454ad414d249dc | [
"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!')",
"conte... | <|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... | AppCallback V1 allows user application to interact with Dapr runtime. User application needs to implement AppCallback service if it needs to receive message from dapr runtime. | AppCallbackServicer | [
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppCallbackServicer:
"""AppCallback V1 allows user application to interact with Dapr runtime. User application needs to implement AppCallback service if it needs to receive message from dapr runtime."""
def OnInvoke(self, request, context):
"""Invokes service method with InvokeReques... | stack_v2_sparse_classes_75kplus_train_072112 | 16,126 | permissive | [
{
"docstring": "Invokes service method with InvokeRequest.",
"name": "OnInvoke",
"signature": "def OnInvoke(self, request, context)"
},
{
"docstring": "Lists all topics subscribed by this app.",
"name": "ListTopicSubscriptions",
"signature": "def ListTopicSubscriptions(self, request, con... | 5 | stack_v2_sparse_classes_30k_test_001445 | Implement the Python class `AppCallbackServicer` described below.
Class description:
AppCallback V1 allows user application to interact with Dapr runtime. User application needs to implement AppCallback service if it needs to receive message from dapr runtime.
Method signatures and docstrings:
- def OnInvoke(self, re... | Implement the Python class `AppCallbackServicer` described below.
Class description:
AppCallback V1 allows user application to interact with Dapr runtime. User application needs to implement AppCallback service if it needs to receive message from dapr runtime.
Method signatures and docstrings:
- def OnInvoke(self, re... | 3337a98f1df05e6f12cefb2cfdfee8d19420de1f | <|skeleton|>
class AppCallbackServicer:
"""AppCallback V1 allows user application to interact with Dapr runtime. User application needs to implement AppCallback service if it needs to receive message from dapr runtime."""
def OnInvoke(self, request, context):
"""Invokes service method with InvokeReques... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AppCallbackServicer:
"""AppCallback V1 allows user application to interact with Dapr runtime. User application needs to implement AppCallback service if it needs to receive message from dapr runtime."""
def OnInvoke(self, request, context):
"""Invokes service method with InvokeRequest."""
... | the_stack_v2_python_sparse | dapr/proto/runtime/v1/appcallback_pb2_grpc.py | dapr/python-sdk | train | 185 |
47ae6aae0321307823f97613e97d8a51af22d6e4 | [
"max_shape = self._find_max_shape(self.fovlist)\nfig = plt.figure(figsize=(20, 16))\ngs = gridspec.GridSpec(max_shape[0], 16, figure=fig)\nself._plot_traces_with_cell_img(self.fovlist, gs, max_shape)",
"shapes = []\nnum_of_labeled = 0\nfor fov in fovlist:\n shapes.append(fov.all_data.shape)\n try:\n ... | <|body_start_0|>
max_shape = self._find_max_shape(self.fovlist)
fig = plt.figure(figsize=(20, 16))
gs = gridspec.GridSpec(max_shape[0], 16, figure=fig)
self._plot_traces_with_cell_img(self.fovlist, gs, max_shape)
<|end_body_0|>
<|body_start_1|>
shapes = []
num_of_labeled... | Plots a simple comparison of the dF/F traces that originated from the unlabeled cells and the labeled cells. | ShowLabeledAndUnlabeled | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShowLabeledAndUnlabeled:
"""Plots a simple comparison of the dF/F traces that originated from the unlabeled cells and the labeled cells."""
def run(self):
"""Main pipeline"""
<|body_0|>
def _find_max_shape(self, fovlist):
"""Iterate over the found files and decid... | stack_v2_sparse_classes_75kplus_train_072113 | 11,294 | permissive | [
{
"docstring": "Main pipeline",
"name": "run",
"signature": "def run(self)"
},
{
"docstring": "Iterate over the found files and decide upon the shape of the array that will hold the stacked data. This is useful when the number of measurements in each FOV was unequal.",
"name": "_find_max_sha... | 5 | stack_v2_sparse_classes_30k_train_000617 | Implement the Python class `ShowLabeledAndUnlabeled` described below.
Class description:
Plots a simple comparison of the dF/F traces that originated from the unlabeled cells and the labeled cells.
Method signatures and docstrings:
- def run(self): Main pipeline
- def _find_max_shape(self, fovlist): Iterate over the ... | Implement the Python class `ShowLabeledAndUnlabeled` described below.
Class description:
Plots a simple comparison of the dF/F traces that originated from the unlabeled cells and the labeled cells.
Method signatures and docstrings:
- def run(self): Main pipeline
- def _find_max_shape(self, fovlist): Iterate over the ... | 87fcca6fd79f65122b4010d2225d10403450da7e | <|skeleton|>
class ShowLabeledAndUnlabeled:
"""Plots a simple comparison of the dF/F traces that originated from the unlabeled cells and the labeled cells."""
def run(self):
"""Main pipeline"""
<|body_0|>
def _find_max_shape(self, fovlist):
"""Iterate over the found files and decid... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ShowLabeledAndUnlabeled:
"""Plots a simple comparison of the dF/F traces that originated from the unlabeled cells and the labeled cells."""
def run(self):
"""Main pipeline"""
max_shape = self._find_max_shape(self.fovlist)
fig = plt.figure(figsize=(20, 16))
gs = gridspec.Gr... | the_stack_v2_python_sparse | calcium_bflow_analysis/colabeled_cells/compare_labeled_unlabeled.py | PBLab/ca-analysis-bloodflow | train | 0 |
eddc8eb62a93f89b2879a81c80c054cfb626ec9a | [
"t = TableFu(self.csv_file, sorted_by={'Author': {'reverse': True}})\nself.table.pop(0)\nself.table.sort(key=lambda row: row[0], reverse=True)\nself.assertEqual(t[0].cells, self.table[0])",
"t = TableFu(self.csv_file)\npages = t.values('Number of Pages')\npages = sorted(pages, reverse=True)\nt.sort('Number of Pag... | <|body_start_0|>
t = TableFu(self.csv_file, sorted_by={'Author': {'reverse': True}})
self.table.pop(0)
self.table.sort(key=lambda row: row[0], reverse=True)
self.assertEqual(t[0].cells, self.table[0])
<|end_body_0|>
<|body_start_1|>
t = TableFu(self.csv_file)
pages = t.v... | OptionsTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptionsTest:
def test_sort_option_str(self):
"""Sort the table by a string field, Author"""
<|body_0|>
def test_sort_option_int(self):
"""Sorting the table by an int field, Number of Pages"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
t = TableFu(... | stack_v2_sparse_classes_75kplus_train_072114 | 30,557 | no_license | [
{
"docstring": "Sort the table by a string field, Author",
"name": "test_sort_option_str",
"signature": "def test_sort_option_str(self)"
},
{
"docstring": "Sorting the table by an int field, Number of Pages",
"name": "test_sort_option_int",
"signature": "def test_sort_option_int(self)"
... | 2 | stack_v2_sparse_classes_30k_train_007603 | Implement the Python class `OptionsTest` described below.
Class description:
Implement the OptionsTest class.
Method signatures and docstrings:
- def test_sort_option_str(self): Sort the table by a string field, Author
- def test_sort_option_int(self): Sorting the table by an int field, Number of Pages | Implement the Python class `OptionsTest` described below.
Class description:
Implement the OptionsTest class.
Method signatures and docstrings:
- def test_sort_option_str(self): Sort the table by a string field, Author
- def test_sort_option_int(self): Sorting the table by an int field, Number of Pages
<|skeleton|>
... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class OptionsTest:
def test_sort_option_str(self):
"""Sort the table by a string field, Author"""
<|body_0|>
def test_sort_option_int(self):
"""Sorting the table by an int field, Number of Pages"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OptionsTest:
def test_sort_option_str(self):
"""Sort the table by a string field, Author"""
t = TableFu(self.csv_file, sorted_by={'Author': {'reverse': True}})
self.table.pop(0)
self.table.sort(key=lambda row: row[0], reverse=True)
self.assertEqual(t[0].cells, self.tabl... | the_stack_v2_python_sparse | repoData/eyeseast-python-tablefu/allPythonContent.py | aCoffeeYin/pyreco | train | 0 | |
146bdf8e2adb3efcd7e785903d1552757e82abba | [
"m = defaultdict(int)\nn = len(nums)\nres = 1\nfor i in range(n):\n for j in range(i):\n diff = nums[i] - nums[j]\n m[i, diff] = m[j, diff] + 1\n res = max(res, m[i, diff])\nreturn res + 1",
"n = len(nums)\ndp = [[0] * 2000 for _ in range(n)]\nres = 1\nfor i in range(n):\n for j in rang... | <|body_start_0|>
m = defaultdict(int)
n = len(nums)
res = 1
for i in range(n):
for j in range(i):
diff = nums[i] - nums[j]
m[i, diff] = m[j, diff] + 1
res = max(res, m[i, diff])
return res + 1
<|end_body_0|>
<|body_star... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestArithSeqLength(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def longestArithSeqLengthDP(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
m = defaultdict(int)
... | stack_v2_sparse_classes_75kplus_train_072115 | 2,814 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "longestArithSeqLength",
"signature": "def longestArithSeqLength(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "longestArithSeqLengthDP",
"signature": "def longestArithSeqLengthDP(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_041079 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestArithSeqLength(self, nums): :type nums: List[int] :rtype: int
- def longestArithSeqLengthDP(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestArithSeqLength(self, nums): :type nums: List[int] :rtype: int
- def longestArithSeqLengthDP(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def longestArithSeqLength(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def longestArithSeqLengthDP(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestArithSeqLength(self, nums):
""":type nums: List[int] :rtype: int"""
m = defaultdict(int)
n = len(nums)
res = 1
for i in range(n):
for j in range(i):
diff = nums[i] - nums[j]
m[i, diff] = m[j, diff] + 1
... | the_stack_v2_python_sparse | L/LongestArithmeticSubsequence.py | bssrdf/pyleet | train | 2 | |
93305daaac323b14a8f3131f62084a5cea006bfd | [
"if data is not None:\n if type(data) is not list:\n raise TypeError('data must be a list')\n if len(data) <= 2:\n raise ValueError('data must contain multiple values')\n self.mean = sum(data) / int(len(data))\n pre_var = []\n for i in data:\n pre_var.append((i - self.mean) ** 2)... | <|body_start_0|>
if data is not None:
if type(data) is not list:
raise TypeError('data must be a list')
if len(data) <= 2:
raise ValueError('data must contain multiple values')
self.mean = sum(data) / int(len(data))
pre_var = []
... | doc | Binomial | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Binomial:
"""doc"""
def __init__(self, data=None, n=1, p=0.5):
"""doc"""
<|body_0|>
def factorial(self, x):
"""doc"""
<|body_1|>
def pmf(self, k):
"""doc"""
<|body_2|>
def cdf(self, k):
"""doc"""
<|body_3|>
<|end... | stack_v2_sparse_classes_75kplus_train_072116 | 1,814 | no_license | [
{
"docstring": "doc",
"name": "__init__",
"signature": "def __init__(self, data=None, n=1, p=0.5)"
},
{
"docstring": "doc",
"name": "factorial",
"signature": "def factorial(self, x)"
},
{
"docstring": "doc",
"name": "pmf",
"signature": "def pmf(self, k)"
},
{
"doc... | 4 | stack_v2_sparse_classes_30k_train_023176 | Implement the Python class `Binomial` described below.
Class description:
doc
Method signatures and docstrings:
- def __init__(self, data=None, n=1, p=0.5): doc
- def factorial(self, x): doc
- def pmf(self, k): doc
- def cdf(self, k): doc | Implement the Python class `Binomial` described below.
Class description:
doc
Method signatures and docstrings:
- def __init__(self, data=None, n=1, p=0.5): doc
- def factorial(self, x): doc
- def pmf(self, k): doc
- def cdf(self, k): doc
<|skeleton|>
class Binomial:
"""doc"""
def __init__(self, data=None, ... | 3bffd1391b3fc790f0137d0afbe90eb8e2f7d713 | <|skeleton|>
class Binomial:
"""doc"""
def __init__(self, data=None, n=1, p=0.5):
"""doc"""
<|body_0|>
def factorial(self, x):
"""doc"""
<|body_1|>
def pmf(self, k):
"""doc"""
<|body_2|>
def cdf(self, k):
"""doc"""
<|body_3|>
<|end... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Binomial:
"""doc"""
def __init__(self, data=None, n=1, p=0.5):
"""doc"""
if data is not None:
if type(data) is not list:
raise TypeError('data must be a list')
if len(data) <= 2:
raise ValueError('data must contain multiple values')
... | the_stack_v2_python_sparse | math/0x03-probability/binomial.py | pafuentess/holbertonschool-machine_learning | train | 0 |
e40ff04e83b425bb0e4116a2b3307c82727f2117 | [
"super(TransformerDecoder, self).__init__()\nself._hidden_size = opts.hidden_size\nself._output_size = opts.embedding_dim\nself.layers = nn.ModuleList([TransformerDecoderLayer(opts, size=opts.hidden_size, ff_size=opts.ff_size, num_heads=opts.num_heads, dropout=opts.dropout) for _ in range(opts.num_layers)])\nself.p... | <|body_start_0|>
super(TransformerDecoder, self).__init__()
self._hidden_size = opts.hidden_size
self._output_size = opts.embedding_dim
self.layers = nn.ModuleList([TransformerDecoderLayer(opts, size=opts.hidden_size, ff_size=opts.ff_size, num_heads=opts.num_heads, dropout=opts.dropout) ... | A transformer decoder with N masked layers. Decoder layers are masked so that an attention head cannot see the future. | TransformerDecoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerDecoder:
"""A transformer decoder with N masked layers. Decoder layers are masked so that an attention head cannot see the future."""
def __init__(self, opts, freeze: bool=False, **kwargs):
"""Initialize a Transformer decoder. :param num_layers: number of Transformer layer... | stack_v2_sparse_classes_75kplus_train_072117 | 4,320 | no_license | [
{
"docstring": "Initialize a Transformer decoder. :param num_layers: number of Transformer layers :param num_heads: number of heads for each layer :param hidden_size: hidden size :param ff_size: position-wise feed-forward size :param dropout: dropout probability (1-keep) :param emb_dropout: dropout probability ... | 2 | stack_v2_sparse_classes_30k_train_043598 | Implement the Python class `TransformerDecoder` described below.
Class description:
A transformer decoder with N masked layers. Decoder layers are masked so that an attention head cannot see the future.
Method signatures and docstrings:
- def __init__(self, opts, freeze: bool=False, **kwargs): Initialize a Transforme... | Implement the Python class `TransformerDecoder` described below.
Class description:
A transformer decoder with N masked layers. Decoder layers are masked so that an attention head cannot see the future.
Method signatures and docstrings:
- def __init__(self, opts, freeze: bool=False, **kwargs): Initialize a Transforme... | e213665be8d3820fa2fc0aa9afe9949fd2e3d488 | <|skeleton|>
class TransformerDecoder:
"""A transformer decoder with N masked layers. Decoder layers are masked so that an attention head cannot see the future."""
def __init__(self, opts, freeze: bool=False, **kwargs):
"""Initialize a Transformer decoder. :param num_layers: number of Transformer layer... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransformerDecoder:
"""A transformer decoder with N masked layers. Decoder layers are masked so that an attention head cannot see the future."""
def __init__(self, opts, freeze: bool=False, **kwargs):
"""Initialize a Transformer decoder. :param num_layers: number of Transformer layers :param num_... | the_stack_v2_python_sparse | modules/transformer_decoder.py | zqp111/transformer_ar | train | 1 |
40c484a642b254feeefc6e17420099821c655bd5 | [
"self.hashdict = {}\nself.po = preorder\nfor i in range(len(inorder)):\n self.hashdict[inorder[i]] = i\nself.buildTreeByRoot(0, 0, len(inorder) - 1)",
"if in_left > in_right:\n return\nroot = TreeNode(self.po[pre_root])\ni = self.hashdict[self.po[pre_root]]\nroot.left = self.buildTreeByRoot(pre_root + 1, in... | <|body_start_0|>
self.hashdict = {}
self.po = preorder
for i in range(len(inorder)):
self.hashdict[inorder[i]] = i
self.buildTreeByRoot(0, 0, len(inorder) - 1)
<|end_body_0|>
<|body_start_1|>
if in_left > in_right:
return
root = TreeNode(self.po[p... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def RebuildBinaryTreeByPreAndMid(self, preorder: List[int], inorder: List[int]) -> TreeNode:
"""根据前序遍历和中序遍历重建二叉树 :param preorder: :param inorder: :return: 复杂度分析：时间复杂度O（N），空间复杂度O（N）"""
<|body_0|>
def buildTreeByRoot(self, pre_root: int, in_left: int, in_right: int) ... | stack_v2_sparse_classes_75kplus_train_072118 | 3,653 | no_license | [
{
"docstring": "根据前序遍历和中序遍历重建二叉树 :param preorder: :param inorder: :return: 复杂度分析：时间复杂度O（N），空间复杂度O（N）",
"name": "RebuildBinaryTreeByPreAndMid",
"signature": "def RebuildBinaryTreeByPreAndMid(self, preorder: List[int], inorder: List[int]) -> TreeNode"
},
{
"docstring": "根据根节点，左右字数边界递推 :param pre_r... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def RebuildBinaryTreeByPreAndMid(self, preorder: List[int], inorder: List[int]) -> TreeNode: 根据前序遍历和中序遍历重建二叉树 :param preorder: :param inorder: :return: 复杂度分析：时间复杂度O（N），空间复杂度O（N）
... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def RebuildBinaryTreeByPreAndMid(self, preorder: List[int], inorder: List[int]) -> TreeNode: 根据前序遍历和中序遍历重建二叉树 :param preorder: :param inorder: :return: 复杂度分析：时间复杂度O（N），空间复杂度O（N）
... | 32941ee052d0985a9569441d314378700ff4d225 | <|skeleton|>
class Solution:
def RebuildBinaryTreeByPreAndMid(self, preorder: List[int], inorder: List[int]) -> TreeNode:
"""根据前序遍历和中序遍历重建二叉树 :param preorder: :param inorder: :return: 复杂度分析：时间复杂度O（N），空间复杂度O（N）"""
<|body_0|>
def buildTreeByRoot(self, pre_root: int, in_left: int, in_right: int) ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def RebuildBinaryTreeByPreAndMid(self, preorder: List[int], inorder: List[int]) -> TreeNode:
"""根据前序遍历和中序遍历重建二叉树 :param preorder: :param inorder: :return: 复杂度分析：时间复杂度O（N），空间复杂度O（N）"""
self.hashdict = {}
self.po = preorder
for i in range(len(inorder)):
self... | the_stack_v2_python_sparse | cecilia-python/剑指offer/chapter-4/RebuildBinaryTreeByPreAndMid.py | Cecilia520/algorithmic-learning-leetcode | train | 7 | |
e28302e637fe6c223cf456d6e9fdbba18ebdef25 | [
"if not root:\n return\nself.flatten(root.left)\nself.flatten(root.right)\ntmp = root.right\nroot.right = root.left\nroot.left = None\nwhile root.right:\n root = root.right\nroot.right = tmp",
"cur = root\nwhile cur:\n if cur.left:\n p = cur.left\n while p.right:\n p = p.right\n ... | <|body_start_0|>
if not root:
return
self.flatten(root.left)
self.flatten(root.right)
tmp = root.right
root.right = root.left
root.left = None
while root.right:
root = root.right
root.right = tmp
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def flatten(self, root):
"""Do not return anything, modify root in-place instead."""
<|body_0|>
def flatten(self, root) -> None:
"""Do not return anything, modify root in-place instead."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if no... | stack_v2_sparse_classes_75kplus_train_072119 | 841 | no_license | [
{
"docstring": "Do not return anything, modify root in-place instead.",
"name": "flatten",
"signature": "def flatten(self, root)"
},
{
"docstring": "Do not return anything, modify root in-place instead.",
"name": "flatten",
"signature": "def flatten(self, root) -> None"
}
] | 2 | stack_v2_sparse_classes_30k_train_010592 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flatten(self, root): Do not return anything, modify root in-place instead.
- def flatten(self, root) -> None: Do not return anything, modify root in-place instead. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flatten(self, root): Do not return anything, modify root in-place instead.
- def flatten(self, root) -> None: Do not return anything, modify root in-place instead.
<|skeleto... | 18e6ac79573b3f535ca5e3eaa477eac0e60bf510 | <|skeleton|>
class Solution:
def flatten(self, root):
"""Do not return anything, modify root in-place instead."""
<|body_0|>
def flatten(self, root) -> None:
"""Do not return anything, modify root in-place instead."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def flatten(self, root):
"""Do not return anything, modify root in-place instead."""
if not root:
return
self.flatten(root.left)
self.flatten(root.right)
tmp = root.right
root.right = root.left
root.left = None
while root.ri... | the_stack_v2_python_sparse | leetcode_树_二叉树展开为链表.py | cmychina/Leetcode | train | 0 | |
298efcb9bca28839396b1980075a94d298edb1a0 | [
"frame_load = 10 * [['H'], ['T']]\nexpected = math.log(2)\nframe = self.context.frame.create(frame_load, schema=[('data', str)])\ncomputed_entropy = frame.entropy('data')\nself.assertAlmostEqual(computed_entropy, expected, delta=0.001)",
"frame_load = [[0, 1], [1, 2], [2, 4], [4, 8]]\nexpected = 1.640223928941852... | <|body_start_0|>
frame_load = 10 * [['H'], ['T']]
expected = math.log(2)
frame = self.context.frame.create(frame_load, schema=[('data', str)])
computed_entropy = frame.entropy('data')
self.assertAlmostEqual(computed_entropy, expected, delta=0.001)
<|end_body_0|>
<|body_start_1|>... | EntropyTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EntropyTest:
def test_entropy_coin_flip(self):
"""Get entropy on balanced coin flip."""
<|body_0|>
def test_entropy_exponential(self):
"""Get entropy on exponential distribution."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
frame_load = 10 * [['H... | stack_v2_sparse_classes_75kplus_train_072120 | 2,228 | permissive | [
{
"docstring": "Get entropy on balanced coin flip.",
"name": "test_entropy_coin_flip",
"signature": "def test_entropy_coin_flip(self)"
},
{
"docstring": "Get entropy on exponential distribution.",
"name": "test_entropy_exponential",
"signature": "def test_entropy_exponential(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_023639 | Implement the Python class `EntropyTest` described below.
Class description:
Implement the EntropyTest class.
Method signatures and docstrings:
- def test_entropy_coin_flip(self): Get entropy on balanced coin flip.
- def test_entropy_exponential(self): Get entropy on exponential distribution. | Implement the Python class `EntropyTest` described below.
Class description:
Implement the EntropyTest class.
Method signatures and docstrings:
- def test_entropy_coin_flip(self): Get entropy on balanced coin flip.
- def test_entropy_exponential(self): Get entropy on exponential distribution.
<|skeleton|>
class Entr... | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | <|skeleton|>
class EntropyTest:
def test_entropy_coin_flip(self):
"""Get entropy on balanced coin flip."""
<|body_0|>
def test_entropy_exponential(self):
"""Get entropy on exponential distribution."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EntropyTest:
def test_entropy_coin_flip(self):
"""Get entropy on balanced coin flip."""
frame_load = 10 * [['H'], ['T']]
expected = math.log(2)
frame = self.context.frame.create(frame_load, schema=[('data', str)])
computed_entropy = frame.entropy('data')
self.as... | the_stack_v2_python_sparse | regression-tests/sparktkregtests/testcases/frames/entropy_test.py | trustedanalytics/spark-tk | train | 35 | |
8c1f20d35445bf12545fa6c9cd06ac6c9d1a0ae5 | [
"tclasses = Class.objects.xall().filter(teachers__id=teacher_id, lps_version='3.0', class_type=Class.CLASS_TYPE_NORMAL, status=Class.STATUS_ONGOING, is_active=True)\nclass_list = list()\nfor tclass in tclasses:\n _students = tclass.students.all().filter(classstudents__status=ClassStudents.STATUS_NORMAL)\n csi... | <|body_start_0|>
tclasses = Class.objects.xall().filter(teachers__id=teacher_id, lps_version='3.0', class_type=Class.CLASS_TYPE_NORMAL, status=Class.STATUS_ONGOING, is_active=True)
class_list = list()
for tclass in tclasses:
_students = tclass.students.all().filter(classstudents__sta... | 教师信息 | TeacherOverview | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeacherOverview:
"""教师信息"""
def processing_classes(teacher_id):
"""接口:一个老师所有进行中的班级 :param teacher_id: int :return: class_list = [ { 'class_total_done_tasks': 新增作业(int, N), 'class_id': 班级id(int, N+), 'class_left_days': 班级倒计时(int, N+ or -1(班级未开始时class_left_days为-1)), 'about_to_begin_cl... | stack_v2_sparse_classes_75kplus_train_072121 | 13,470 | no_license | [
{
"docstring": "接口:一个老师所有进行中的班级 :param teacher_id: int :return: class_list = [ { 'class_total_done_tasks': 新增作业(int, N), 'class_id': 班级id(int, N+), 'class_left_days': 班级倒计时(int, N+ or -1(班级未开始时class_left_days为-1)), 'about_to_begin_clmt': 即将开始的班会(见mz_lps3.functions_gt.get_classmeeting_list), 'class_begin_date': ... | 3 | stack_v2_sparse_classes_30k_train_041469 | Implement the Python class `TeacherOverview` described below.
Class description:
教师信息
Method signatures and docstrings:
- def processing_classes(teacher_id): 接口:一个老师所有进行中的班级 :param teacher_id: int :return: class_list = [ { 'class_total_done_tasks': 新增作业(int, N), 'class_id': 班级id(int, N+), 'class_left_days': 班级倒计时(int... | Implement the Python class `TeacherOverview` described below.
Class description:
教师信息
Method signatures and docstrings:
- def processing_classes(teacher_id): 接口:一个老师所有进行中的班级 :param teacher_id: int :return: class_list = [ { 'class_total_done_tasks': 新增作业(int, N), 'class_id': 班级id(int, N+), 'class_left_days': 班级倒计时(int... | aec5d23bb412f7dfca374fb5c5b9988c1b817347 | <|skeleton|>
class TeacherOverview:
"""教师信息"""
def processing_classes(teacher_id):
"""接口:一个老师所有进行中的班级 :param teacher_id: int :return: class_list = [ { 'class_total_done_tasks': 新增作业(int, N), 'class_id': 班级id(int, N+), 'class_left_days': 班级倒计时(int, N+ or -1(班级未开始时class_left_days为-1)), 'about_to_begin_cl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TeacherOverview:
"""教师信息"""
def processing_classes(teacher_id):
"""接口:一个老师所有进行中的班级 :param teacher_id: int :return: class_list = [ { 'class_total_done_tasks': 新增作业(int, N), 'class_id': 班级id(int, N+), 'class_left_days': 班级倒计时(int, N+ or -1(班级未开始时class_left_days为-1)), 'about_to_begin_clmt': 即将开始的班会(... | the_stack_v2_python_sparse | hotfix/apps/mz_usercenter/teacher/interface.py | az0ne/python | train | 0 |
9ef10f62840fe87c63f72740b07a4416c0e72283 | [
"address = self.transport.getAddress()\nlog.msg('Client %d login in.[%s,%d]' % (self.transport.sessionno, address[0], address[1]))\nself.factory.connmanager.addConnection(self)\nself.factory.doConnectionMade(self)",
"log.msg('Client %d login out.' % self.transport.sessionno)\nself.factory.doConnectionLost(self)\n... | <|body_start_0|>
address = self.transport.getAddress()
log.msg('Client %d login in.[%s,%d]' % (self.transport.sessionno, address[0], address[1]))
self.factory.connmanager.addConnection(self)
self.factory.doConnectionMade(self)
<|end_body_0|>
<|body_start_1|>
log.msg('Client %d l... | 协议 | LiberateProtocol | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LiberateProtocol:
"""协议"""
def connectionMade(self):
"""连接建立处理"""
<|body_0|>
def connectionLost(self, reason):
"""连接断开处理"""
<|body_1|>
def safeToWriteData(self, data, command):
"""线程安全的向客户端发送数据 @param data: str 要向客户端写的数据"""
<|body_2|>... | stack_v2_sparse_classes_75kplus_train_072122 | 4,082 | no_license | [
{
"docstring": "连接建立处理",
"name": "connectionMade",
"signature": "def connectionMade(self)"
},
{
"docstring": "连接断开处理",
"name": "connectionLost",
"signature": "def connectionLost(self, reason)"
},
{
"docstring": "线程安全的向客户端发送数据 @param data: str 要向客户端写的数据",
"name": "safeToWriteD... | 4 | stack_v2_sparse_classes_30k_train_018772 | Implement the Python class `LiberateProtocol` described below.
Class description:
协议
Method signatures and docstrings:
- def connectionMade(self): 连接建立处理
- def connectionLost(self, reason): 连接断开处理
- def safeToWriteData(self, data, command): 线程安全的向客户端发送数据 @param data: str 要向客户端写的数据
- def dataReceived(self, data): 数据到达... | Implement the Python class `LiberateProtocol` described below.
Class description:
协议
Method signatures and docstrings:
- def connectionMade(self): 连接建立处理
- def connectionLost(self, reason): 连接断开处理
- def safeToWriteData(self, data, command): 线程安全的向客户端发送数据 @param data: str 要向客户端写的数据
- def dataReceived(self, data): 数据到达... | d7a83a21287ed66aea690ecb6b73588569478be6 | <|skeleton|>
class LiberateProtocol:
"""协议"""
def connectionMade(self):
"""连接建立处理"""
<|body_0|>
def connectionLost(self, reason):
"""连接断开处理"""
<|body_1|>
def safeToWriteData(self, data, command):
"""线程安全的向客户端发送数据 @param data: str 要向客户端写的数据"""
<|body_2|>... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LiberateProtocol:
"""协议"""
def connectionMade(self):
"""连接建立处理"""
address = self.transport.getAddress()
log.msg('Client %d login in.[%s,%d]' % (self.transport.sessionno, address[0], address[1]))
self.factory.connmanager.addConnection(self)
self.factory.doConnection... | the_stack_v2_python_sparse | gfirefly/netconnect/protoc.py | East196/diabloworld | train | 3 |
d8234156f5dcae705d8a3a9adb8799f53d68b383 | [
"self.league_name = league_name\nself.scraper = scraper\nself.parser = parser\nself.league_repository = league_repository\nself.team_repository = team_repository\nself.league_table_repository = league_table_repository",
"league = self.league_repository.find_by_name(self.league_name)\nif league is None:\n loggi... | <|body_start_0|>
self.league_name = league_name
self.scraper = scraper
self.parser = parser
self.league_repository = league_repository
self.team_repository = team_repository
self.league_table_repository = league_table_repository
<|end_body_0|>
<|body_start_1|>
le... | ScrapeLeagueTable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScrapeLeagueTable:
def __init__(self, league_name, scraper: BaseScraper, parser: BaseParser, league_repository: BaseLeagueRepo, team_repository: BaseTeamRepo, league_table_repository: BaseLeagueTableRepo):
"""Constructor for ScrapeLeagueTable use case. :param league_name: Name of the lea... | stack_v2_sparse_classes_75kplus_train_072123 | 3,887 | no_license | [
{
"docstring": "Constructor for ScrapeLeagueTable use case. :param league_name: Name of the league to scrape the table. :param scraper: Scraper method to scrape league tables html :param parser: Parser method to parse the html scraped :param league_repository: Repository class of the leagues table :param team_r... | 2 | stack_v2_sparse_classes_30k_test_002168 | Implement the Python class `ScrapeLeagueTable` described below.
Class description:
Implement the ScrapeLeagueTable class.
Method signatures and docstrings:
- def __init__(self, league_name, scraper: BaseScraper, parser: BaseParser, league_repository: BaseLeagueRepo, team_repository: BaseTeamRepo, league_table_reposit... | Implement the Python class `ScrapeLeagueTable` described below.
Class description:
Implement the ScrapeLeagueTable class.
Method signatures and docstrings:
- def __init__(self, league_name, scraper: BaseScraper, parser: BaseParser, league_repository: BaseLeagueRepo, team_repository: BaseTeamRepo, league_table_reposit... | 02ed924429b41afb33c1cb2b0a8a6039c22a3a3e | <|skeleton|>
class ScrapeLeagueTable:
def __init__(self, league_name, scraper: BaseScraper, parser: BaseParser, league_repository: BaseLeagueRepo, team_repository: BaseTeamRepo, league_table_repository: BaseLeagueTableRepo):
"""Constructor for ScrapeLeagueTable use case. :param league_name: Name of the lea... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScrapeLeagueTable:
def __init__(self, league_name, scraper: BaseScraper, parser: BaseParser, league_repository: BaseLeagueRepo, team_repository: BaseTeamRepo, league_table_repository: BaseLeagueTableRepo):
"""Constructor for ScrapeLeagueTable use case. :param league_name: Name of the league to scrape ... | the_stack_v2_python_sparse | data/use_cases/scrape_league_table.py | danielsiles/Data-Mining-Project-1-ITC | train | 1 | |
386e07ffd35e8e0abafc0b950ed38ed17d9dc2e3 | [
"def recursive(root, string):\n if not root:\n string += 'null,'\n else:\n string += str(root.val) + ','\n string = recursive(root.left, string)\n string = recursive(root.right, string)\n return string\nreturn recursive(root, '')",
"def recursive(data):\n if data[0] == 'nul... | <|body_start_0|>
def recursive(root, string):
if not root:
string += 'null,'
else:
string += str(root.val) + ','
string = recursive(root.left, string)
string = recursive(root.right, string)
return string
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_072124 | 5,096 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_053633 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | cc7740026c3774be21ab924b99ae7596ef20d0e4 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def recursive(root, string):
if not root:
string += 'null,'
else:
string += str(root.val) + ','
string = recursive... | the_stack_v2_python_sparse | HOT_100/094.py | yangtao0304/hands-on-programming-exercise | train | 0 | |
8b27247fac2a20f0e44aa58026368836d0551da9 | [
"self.name = kwargs.get('name')\nself.project_name = kwargs.get('project_name')\nself.external_gateway = kwargs.get('external_gateway')\nself.admin_state_up = kwargs.get('admin_state_up', True)\nself.enable_snat = kwargs.get('enable_snat')\nif kwargs.get('internal_subnets'):\n self.internal_subnets = kwargs['int... | <|body_start_0|>
self.name = kwargs.get('name')
self.project_name = kwargs.get('project_name')
self.external_gateway = kwargs.get('external_gateway')
self.admin_state_up = kwargs.get('admin_state_up', True)
self.enable_snat = kwargs.get('enable_snat')
if kwargs.get('inter... | Class representing a router configuration | RouterConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RouterConfig:
"""Class representing a router configuration"""
def __init__(self, **kwargs):
"""Constructor - all parameters are optional :param name: The router name. :param project_name: The name of the project who owns the network. Only administrative users can specify a project ID... | stack_v2_sparse_classes_75kplus_train_072125 | 5,980 | permissive | [
{
"docstring": "Constructor - all parameters are optional :param name: The router name. :param project_name: The name of the project who owns the network. Only administrative users can specify a project ID other than their own. You cannot change this value through authorization policies. :param external_gateway... | 2 | stack_v2_sparse_classes_30k_train_044914 | Implement the Python class `RouterConfig` described below.
Class description:
Class representing a router configuration
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor - all parameters are optional :param name: The router name. :param project_name: The name of the project who owns the ne... | Implement the Python class `RouterConfig` described below.
Class description:
Class representing a router configuration
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor - all parameters are optional :param name: The router name. :param project_name: The name of the project who owns the ne... | 567cdf25e1319fbc8a1a874dd18d21f88948e67e | <|skeleton|>
class RouterConfig:
"""Class representing a router configuration"""
def __init__(self, **kwargs):
"""Constructor - all parameters are optional :param name: The router name. :param project_name: The name of the project who owns the network. Only administrative users can specify a project ID... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RouterConfig:
"""Class representing a router configuration"""
def __init__(self, **kwargs):
"""Constructor - all parameters are optional :param name: The router name. :param project_name: The name of the project who owns the network. Only administrative users can specify a project ID other than t... | the_stack_v2_python_sparse | snaps/config/router.py | opnfv/snaps | train | 2 |
15f785e873763bd0b559e7bd0053c42524230ffe | [
"super(SetUp, self).__init__(*args, **kwargs)\nself.arguments = arguments\nself._lexicographer = None\nself._builder = None\nreturn",
"if self._lexicographer is None:\n glob = self.arguments.glob\n message = 'Building Lexicographer with glob ({0})'.format(glob)\n self.logger.debug(message)\n self._lex... | <|body_start_0|>
super(SetUp, self).__init__(*args, **kwargs)
self.arguments = arguments
self._lexicographer = None
self._builder = None
return
<|end_body_0|>
<|body_start_1|>
if self._lexicographer is None:
glob = self.arguments.glob
message = 'B... | The SetUp sets up the infrastructure | SetUp | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SetUp:
"""The SetUp sets up the infrastructure"""
def __init__(self, arguments, *args, **kwargs):
""":param: - `arguments`: An ArgumentParser Namespace"""
<|body_0|>
def lexicographer(self):
""":return: Lexicographer that maps config-files"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_072126 | 1,568 | permissive | [
{
"docstring": ":param: - `arguments`: An ArgumentParser Namespace",
"name": "__init__",
"signature": "def __init__(self, arguments, *args, **kwargs)"
},
{
"docstring": ":return: Lexicographer that maps config-files",
"name": "lexicographer",
"signature": "def lexicographer(self)"
},
... | 4 | stack_v2_sparse_classes_30k_train_026253 | Implement the Python class `SetUp` described below.
Class description:
The SetUp sets up the infrastructure
Method signatures and docstrings:
- def __init__(self, arguments, *args, **kwargs): :param: - `arguments`: An ArgumentParser Namespace
- def lexicographer(self): :return: Lexicographer that maps config-files
- ... | Implement the Python class `SetUp` described below.
Class description:
The SetUp sets up the infrastructure
Method signatures and docstrings:
- def __init__(self, arguments, *args, **kwargs): :param: - `arguments`: An ArgumentParser Namespace
- def lexicographer(self): :return: Lexicographer that maps config-files
- ... | b4d1c77e1d611fe2b30768b42bdc7493afb0ea95 | <|skeleton|>
class SetUp:
"""The SetUp sets up the infrastructure"""
def __init__(self, arguments, *args, **kwargs):
""":param: - `arguments`: An ArgumentParser Namespace"""
<|body_0|>
def lexicographer(self):
""":return: Lexicographer that maps config-files"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SetUp:
"""The SetUp sets up the infrastructure"""
def __init__(self, arguments, *args, **kwargs):
""":param: - `arguments`: An ArgumentParser Namespace"""
super(SetUp, self).__init__(*args, **kwargs)
self.arguments = arguments
self._lexicographer = None
self._build... | the_stack_v2_python_sparse | apetools/proletarians/setuprun.py | russell-n/oldape | train | 0 |
1ca2396c72164a52ed1b2f795deee85c27c5dbc6 | [
"users = CRITsUser.objects(is_active=True, prefs__notify__email=True)\nnotifications = Notification.objects(status='new')\nfor user in users:\n includes = [x for x in notifications if user.username in x.users and user.username != x.analyst and (x.obj_id != None)]\n if len(includes):\n email = EmailNoti... | <|body_start_0|>
users = CRITsUser.objects(is_active=True, prefs__notify__email=True)
notifications = Notification.objects(status='new')
for user in users:
includes = [x for x in notifications if user.username in x.users and user.username != x.analyst and (x.obj_id != None)]
... | generate_notifications Django command | Command | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""generate_notifications Django command"""
def handle(self, *args, **options):
"""Script Execution."""
<|body_0|>
def process_notifications(self, notifications, users):
"""Set notifications to processed. Remove users from the list if they received an em... | stack_v2_sparse_classes_75kplus_train_072127 | 5,156 | permissive | [
{
"docstring": "Script Execution.",
"name": "handle",
"signature": "def handle(self, *args, **options)"
},
{
"docstring": "Set notifications to processed. Remove users from the list if they received an email. If any notification has 0 users left, remove it. Also remove any processed notification... | 2 | stack_v2_sparse_classes_30k_train_018004 | Implement the Python class `Command` described below.
Class description:
generate_notifications Django command
Method signatures and docstrings:
- def handle(self, *args, **options): Script Execution.
- def process_notifications(self, notifications, users): Set notifications to processed. Remove users from the list i... | Implement the Python class `Command` described below.
Class description:
generate_notifications Django command
Method signatures and docstrings:
- def handle(self, *args, **options): Script Execution.
- def process_notifications(self, notifications, users): Set notifications to processed. Remove users from the list i... | 81fc042efe61a252ee3433432f7bd7f0f11b217d | <|skeleton|>
class Command:
"""generate_notifications Django command"""
def handle(self, *args, **options):
"""Script Execution."""
<|body_0|>
def process_notifications(self, notifications, users):
"""Set notifications to processed. Remove users from the list if they received an em... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Command:
"""generate_notifications Django command"""
def handle(self, *args, **options):
"""Script Execution."""
users = CRITsUser.objects(is_active=True, prefs__notify__email=True)
notifications = Notification.objects(status='new')
for user in users:
includes ... | the_stack_v2_python_sparse | crits/core/management/commands/generate_notifications.py | MITRECND/crits | train | 22 |
2fefcc8b3acb3c0537d434c5b50a9de32dcdae4b | [
"self.train = []\nself.test = []\nself.k = k\nself.dataset_name = dataset_name\nwith open(url_train) as f:\n t = f.readlines()\n for x in range(len(t)):\n a = t[x].replace('\\n', '').split(',')\n self.train.append(a)\nwith open(url_test) as f:\n t = f.readlines()\n for x in range(len(t)):\... | <|body_start_0|>
self.train = []
self.test = []
self.k = k
self.dataset_name = dataset_name
with open(url_train) as f:
t = f.readlines()
for x in range(len(t)):
a = t[x].replace('\n', '').split(',')
self.train.append(a)
... | This class implements the k-Nearest-Neighbor learner. | knn | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class knn:
"""This class implements the k-Nearest-Neighbor learner."""
def __init__(self, dataset_name='orig', url_train='data/spect-orig.train.csv', url_test='data/spect-orig.test.csv', k=5):
"""The constructor of the knn instance. :param url_train: the url for the train dataset file :par... | stack_v2_sparse_classes_75kplus_train_072128 | 4,167 | permissive | [
{
"docstring": "The constructor of the knn instance. :param url_train: the url for the train dataset file :param url_test: the url for the tst dataset file :param k: the k-th nearest neighbor",
"name": "__init__",
"signature": "def __init__(self, dataset_name='orig', url_train='data/spect-orig.train.csv... | 5 | stack_v2_sparse_classes_30k_train_019762 | Implement the Python class `knn` described below.
Class description:
This class implements the k-Nearest-Neighbor learner.
Method signatures and docstrings:
- def __init__(self, dataset_name='orig', url_train='data/spect-orig.train.csv', url_test='data/spect-orig.test.csv', k=5): The constructor of the knn instance. ... | Implement the Python class `knn` described below.
Class description:
This class implements the k-Nearest-Neighbor learner.
Method signatures and docstrings:
- def __init__(self, dataset_name='orig', url_train='data/spect-orig.train.csv', url_test='data/spect-orig.test.csv', k=5): The constructor of the knn instance. ... | 1da22b8560aa0426492288b243bb9d14397927f2 | <|skeleton|>
class knn:
"""This class implements the k-Nearest-Neighbor learner."""
def __init__(self, dataset_name='orig', url_train='data/spect-orig.train.csv', url_test='data/spect-orig.test.csv', k=5):
"""The constructor of the knn instance. :param url_train: the url for the train dataset file :par... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class knn:
"""This class implements the k-Nearest-Neighbor learner."""
def __init__(self, dataset_name='orig', url_train='data/spect-orig.train.csv', url_test='data/spect-orig.test.csv', k=5):
"""The constructor of the knn instance. :param url_train: the url for the train dataset file :param url_test: ... | the_stack_v2_python_sparse | hw2/knn.py | ovimura/cs541-ai | train | 0 |
a4ce95359fd52338a170a2bc0b1af9cec057deca | [
"super(LedDisplayEmulatorTask, self).__init__(actuatorName=ConfigConst.LED_ACTUATOR_NAME, actuatorType=ActuatorData.LED_DISPLAY_ACTUATOR_TYPE, simpleName='LED_Display')\nconfigUtil = ConfigUtil()\nif configUtil.getBoolean(ConfigConst.CONSTRAINED_DEVICE, ConfigConst.ENABLE_SENSE_HAT_KEY) is False:\n self.sh = Sen... | <|body_start_0|>
super(LedDisplayEmulatorTask, self).__init__(actuatorName=ConfigConst.LED_ACTUATOR_NAME, actuatorType=ActuatorData.LED_DISPLAY_ACTUATOR_TYPE, simpleName='LED_Display')
configUtil = ConfigUtil()
if configUtil.getBoolean(ConfigConst.CONSTRAINED_DEVICE, ConfigConst.ENABLE_SENSE_HAT... | Shell representation of class for student implementation. | LedDisplayEmulatorTask | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LedDisplayEmulatorTask:
"""Shell representation of class for student implementation."""
def __init__(self):
"""Constructor check the configuration file to determine if use a emulator"""
<|body_0|>
def _handleActuation(self, cmd: int, val: float=0.0, stateData: str=None) ... | stack_v2_sparse_classes_75kplus_train_072129 | 1,982 | permissive | [
{
"docstring": "Constructor check the configuration file to determine if use a emulator",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Implement the function of showing related value on led screen cmd: int val: float = 0.0 stateData: str = None return int",
"name"... | 2 | stack_v2_sparse_classes_30k_train_007086 | Implement the Python class `LedDisplayEmulatorTask` described below.
Class description:
Shell representation of class for student implementation.
Method signatures and docstrings:
- def __init__(self): Constructor check the configuration file to determine if use a emulator
- def _handleActuation(self, cmd: int, val: ... | Implement the Python class `LedDisplayEmulatorTask` described below.
Class description:
Shell representation of class for student implementation.
Method signatures and docstrings:
- def __init__(self): Constructor check the configuration file to determine if use a emulator
- def _handleActuation(self, cmd: int, val: ... | 26db6375a21ee9bdccba3d137e30d2e63ad6395c | <|skeleton|>
class LedDisplayEmulatorTask:
"""Shell representation of class for student implementation."""
def __init__(self):
"""Constructor check the configuration file to determine if use a emulator"""
<|body_0|>
def _handleActuation(self, cmd: int, val: float=0.0, stateData: str=None) ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LedDisplayEmulatorTask:
"""Shell representation of class for student implementation."""
def __init__(self):
"""Constructor check the configuration file to determine if use a emulator"""
super(LedDisplayEmulatorTask, self).__init__(actuatorName=ConfigConst.LED_ACTUATOR_NAME, actuatorType=A... | the_stack_v2_python_sparse | src/main/python/programmingtheiot/cda/emulated/LedDisplayEmulatorTask.py | Zhengrui-Liu/FireAlarmingSysCDA | train | 0 |
e485d15ba9140bb22e30b9c72e18bd6fd5a8b19a | [
"self.quant_bit = quant_bit\nOperatorSerializable.__init__(self)\nModule.__init__(self)\nQuantConv2d.__init__(self, in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, bias=bias, padding_mode=padding_mode)",
"input = input.... | <|body_start_0|>
self.quant_bit = quant_bit
OperatorSerializable.__init__(self)
Module.__init__(self)
QuantConv2d.__init__(self, in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, bias=bias, paddi... | QuantizeConv2d Module inherit nn.Module. | QuantizeConv2d | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuantizeConv2d:
"""QuantizeConv2d Module inherit nn.Module."""
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None):
"""Construct Identity class."""
<|body_0|>
def forward(s... | stack_v2_sparse_classes_75kplus_train_072130 | 25,894 | permissive | [
{
"docstring": "Construct Identity class.",
"name": "__init__",
"signature": "def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None)"
},
{
"docstring": "Do an inference on Identity.",
"name": "for... | 2 | stack_v2_sparse_classes_30k_train_054146 | Implement the Python class `QuantizeConv2d` described below.
Class description:
QuantizeConv2d Module inherit nn.Module.
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None): Construct... | Implement the Python class `QuantizeConv2d` described below.
Class description:
QuantizeConv2d Module inherit nn.Module.
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None): Construct... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class QuantizeConv2d:
"""QuantizeConv2d Module inherit nn.Module."""
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None):
"""Construct Identity class."""
<|body_0|>
def forward(s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuantizeConv2d:
"""QuantizeConv2d Module inherit nn.Module."""
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', quant_bit=None):
"""Construct Identity class."""
self.quant_bit = quant_bit
Operato... | the_stack_v2_python_sparse | zeus/modules/operators/functions/pytorch_fn.py | huawei-noah/xingtian | train | 308 |
eeffcc318b757bd95445d3f5a767835f6efe4f2a | [
"super(MovingAverage, self).__init__()\nself.window_size = window_size\nself.dimension = dimension",
"ret = torch.cumsum(input_tensor, dim=self.dimension)\nret[:, self.window_size:] = ret[:, self.window_size:] - ret[:, :-self.window_size]\nreturn ret[:, self.window_size - 1:] / self.window_size"
] | <|body_start_0|>
super(MovingAverage, self).__init__()
self.window_size = window_size
self.dimension = dimension
<|end_body_0|>
<|body_start_1|>
ret = torch.cumsum(input_tensor, dim=self.dimension)
ret[:, self.window_size:] = ret[:, self.window_size:] - ret[:, :-self.window_size... | MovingAverage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MovingAverage:
def __init__(self, window_size: int, dimension: int):
"""Parameters ---------- window_size: sliding windows size dimension: dimension we want to apply sliding window"""
<|body_0|>
def forward(self, input_tensor: torch.Tensor):
"""Parameters ---------- ... | stack_v2_sparse_classes_75kplus_train_072131 | 1,792 | permissive | [
{
"docstring": "Parameters ---------- window_size: sliding windows size dimension: dimension we want to apply sliding window",
"name": "__init__",
"signature": "def __init__(self, window_size: int, dimension: int)"
},
{
"docstring": "Parameters ---------- input_tensor: torch.Tensor of shape (B, ... | 2 | stack_v2_sparse_classes_30k_train_039106 | Implement the Python class `MovingAverage` described below.
Class description:
Implement the MovingAverage class.
Method signatures and docstrings:
- def __init__(self, window_size: int, dimension: int): Parameters ---------- window_size: sliding windows size dimension: dimension we want to apply sliding window
- def... | Implement the Python class `MovingAverage` described below.
Class description:
Implement the MovingAverage class.
Method signatures and docstrings:
- def __init__(self, window_size: int, dimension: int): Parameters ---------- window_size: sliding windows size dimension: dimension we want to apply sliding window
- def... | 8ac7ccb17de4aaeb40325deda952652b0fc107ef | <|skeleton|>
class MovingAverage:
def __init__(self, window_size: int, dimension: int):
"""Parameters ---------- window_size: sliding windows size dimension: dimension we want to apply sliding window"""
<|body_0|>
def forward(self, input_tensor: torch.Tensor):
"""Parameters ---------- ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MovingAverage:
def __init__(self, window_size: int, dimension: int):
"""Parameters ---------- window_size: sliding windows size dimension: dimension we want to apply sliding window"""
super(MovingAverage, self).__init__()
self.window_size = window_size
self.dimension = dimensio... | the_stack_v2_python_sparse | layers.py | Stress-Puppy/EMNLP2020 | train | 0 | |
62f7a4927525f943b81257b58f9e58b8ca172b17 | [
"self.k = k\nself.lossthreshold = lossthreshold\nself.lockthreshold = lockthreshold\nself.iFilter = filters.LowPassFilter(0.0247)\nself.qFilter = filters.LowPassFilter(0.0247)\nself.reset()",
"self.losscount = 0\nself.lockcount = 0\nself.iFilter.reset(h=iMagnitude)\nself.qFilter.reset(h=qMagnitude)\nself.lock = l... | <|body_start_0|>
self.k = k
self.lossthreshold = lossthreshold
self.lockthreshold = lockthreshold
self.iFilter = filters.LowPassFilter(0.0247)
self.qFilter = filters.LowPassFilter(0.0247)
self.reset()
<|end_body_0|>
<|body_start_1|>
self.losscount = 0
sel... | LockDetector instances are objects that can determine whether or not a particular tracking channel is locked or not. For more information: Kaplan and Hegarty pages 234-235 note to self: Consider implementing false phase lock detection (p. 235) in the LockDetector.update() function. | LockDetector | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LockDetector:
"""LockDetector instances are objects that can determine whether or not a particular tracking channel is locked or not. For more information: Kaplan and Hegarty pages 234-235 note to self: Consider implementing false phase lock detection (p. 235) in the LockDetector.update() functio... | stack_v2_sparse_classes_75kplus_train_072132 | 3,771 | permissive | [
{
"docstring": "Initialize the lock detector. @type N : int @param N : This is the number of previous samples to average over. @type k : float @param k : This is the scale factor (specifically, the divisor of the inphase prompt inputs) used for comparing the inphase and quadraphase inputs. A typical value is 1.... | 3 | null | Implement the Python class `LockDetector` described below.
Class description:
LockDetector instances are objects that can determine whether or not a particular tracking channel is locked or not. For more information: Kaplan and Hegarty pages 234-235 note to self: Consider implementing false phase lock detection (p. 23... | Implement the Python class `LockDetector` described below.
Class description:
LockDetector instances are objects that can determine whether or not a particular tracking channel is locked or not. For more information: Kaplan and Hegarty pages 234-235 note to self: Consider implementing false phase lock detection (p. 23... | 2420a859be9dfe68df62f6db3f7bbd6f151f2936 | <|skeleton|>
class LockDetector:
"""LockDetector instances are objects that can determine whether or not a particular tracking channel is locked or not. For more information: Kaplan and Hegarty pages 234-235 note to self: Consider implementing false phase lock detection (p. 235) in the LockDetector.update() functio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LockDetector:
"""LockDetector instances are objects that can determine whether or not a particular tracking channel is locked or not. For more information: Kaplan and Hegarty pages 234-235 note to self: Consider implementing false phase lock detection (p. 235) in the LockDetector.update() function."""
de... | the_stack_v2_python_sparse | pygnss/pythonreceiver/libgnss/lockdetector.py | GnssTao/NavLab-DPE-SDR | train | 0 |
4f542fbdbc1ba5977b9b690da12c797a66ca1ec7 | [
"self._display = display\nself._field = field\nself._ball = ball\nself._aim_line = aim_line\nself._score = Score(self._display)",
"self._field.update(self._display)\nself.draw_aim()\nself._score.draw_score(score)\npygame.display.update()",
"mouse_pos = pygame.mouse.get_pos()\ncurrent_x, current_y = (self._ball.... | <|body_start_0|>
self._display = display
self._field = field
self._ball = ball
self._aim_line = aim_line
self._score = Score(self._display)
<|end_body_0|>
<|body_start_1|>
self._field.update(self._display)
self.draw_aim()
self._score.draw_score(score)
... | A class to handle rendering in pygame. | Renderer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Renderer:
"""A class to handle rendering in pygame."""
def __init__(self, display, field, ball, aim_line):
"""A constuctor that sets the pygame display and the field. Args: display (pygame display): The display object for the field. field (Field): A Field class object containing spri... | stack_v2_sparse_classes_75kplus_train_072133 | 1,255 | no_license | [
{
"docstring": "A constuctor that sets the pygame display and the field. Args: display (pygame display): The display object for the field. field (Field): A Field class object containing sprites. ball (Ball): The ball sprite that is on the field. aim_line (AimLine): The aiming line drawn from the ball.",
"na... | 3 | stack_v2_sparse_classes_30k_train_050026 | Implement the Python class `Renderer` described below.
Class description:
A class to handle rendering in pygame.
Method signatures and docstrings:
- def __init__(self, display, field, ball, aim_line): A constuctor that sets the pygame display and the field. Args: display (pygame display): The display object for the f... | Implement the Python class `Renderer` described below.
Class description:
A class to handle rendering in pygame.
Method signatures and docstrings:
- def __init__(self, display, field, ball, aim_line): A constuctor that sets the pygame display and the field. Args: display (pygame display): The display object for the f... | c0b4513cef6cebbc2db103d2d58f681a85a3f92b | <|skeleton|>
class Renderer:
"""A class to handle rendering in pygame."""
def __init__(self, display, field, ball, aim_line):
"""A constuctor that sets the pygame display and the field. Args: display (pygame display): The display object for the field. field (Field): A Field class object containing spri... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Renderer:
"""A class to handle rendering in pygame."""
def __init__(self, display, field, ball, aim_line):
"""A constuctor that sets the pygame display and the field. Args: display (pygame display): The display object for the field. field (Field): A Field class object containing sprites. ball (Ba... | the_stack_v2_python_sparse | minigolf-game/src/services/renderer.py | makeri89/Ohjelmistotekniikka | train | 0 |
67ed960d956815c07bbc2ce3cbbfbc5b040720bb | [
"self.conv1 = nn.Conv2d(4, 32, 8, 4)\nself.conv2 = nn.Conv2d(32, 64, 4, 2)\nself.conv3 = nn.Conv2d(64, 64, 3, 1)\nshape = self.observation_space.shape[1:]\nfor c in [self.conv1, self.conv2, self.conv3]:\n shape = conv_out_shape(shape, c)\nself.nunits = 64 * np.prod(shape)\nself.fc = nn.Linear(self.nunits, 512)\n... | <|body_start_0|>
self.conv1 = nn.Conv2d(4, 32, 8, 4)
self.conv2 = nn.Conv2d(32, 64, 4, 2)
self.conv3 = nn.Conv2d(64, 64, 3, 1)
shape = self.observation_space.shape[1:]
for c in [self.conv1, self.conv2, self.conv3]:
shape = conv_out_shape(shape, c)
self.nunits ... | Deep network from https://www.nature.com/articles/nature14236. | NatureDQN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NatureDQN:
"""Deep network from https://www.nature.com/articles/nature14236."""
def build(self):
"""Build network."""
<|body_0|>
def forward(self, x):
"""Forward."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.conv1 = nn.Conv2d(4, 32, 8, 4... | stack_v2_sparse_classes_75kplus_train_072134 | 10,080 | no_license | [
{
"docstring": "Build network.",
"name": "build",
"signature": "def build(self)"
},
{
"docstring": "Forward.",
"name": "forward",
"signature": "def forward(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015704 | Implement the Python class `NatureDQN` described below.
Class description:
Deep network from https://www.nature.com/articles/nature14236.
Method signatures and docstrings:
- def build(self): Build network.
- def forward(self, x): Forward. | Implement the Python class `NatureDQN` described below.
Class description:
Deep network from https://www.nature.com/articles/nature14236.
Method signatures and docstrings:
- def build(self): Build network.
- def forward(self, x): Forward.
<|skeleton|>
class NatureDQN:
"""Deep network from https://www.nature.com/... | e71c4b12955b01bfb907aa31c91ded6bcd8aaec8 | <|skeleton|>
class NatureDQN:
"""Deep network from https://www.nature.com/articles/nature14236."""
def build(self):
"""Build network."""
<|body_0|>
def forward(self, x):
"""Forward."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NatureDQN:
"""Deep network from https://www.nature.com/articles/nature14236."""
def build(self):
"""Build network."""
self.conv1 = nn.Conv2d(4, 32, 8, 4)
self.conv2 = nn.Conv2d(32, 64, 4, 2)
self.conv3 = nn.Conv2d(64, 64, 3, 1)
shape = self.observation_space.shape[... | the_stack_v2_python_sparse | dl/rl/algorithms/ppo.py | cbschaff/dl | train | 1 |
dbbf36b115b6e9653cd97537c8a9d2c8f095b357 | [
"for i in range(len(matrix) // 2):\n start = i\n end = len(matrix) - i - 1\n for j in range(0, end - start):\n tmp = matrix[start][start + j]\n matrix[start][start + j] = matrix[end - j][start]\n matrix[end - j][start] = matrix[end][end - j]\n matrix[end][end - j] = matrix[start... | <|body_start_0|>
for i in range(len(matrix) // 2):
start = i
end = len(matrix) - i - 1
for j in range(0, end - start):
tmp = matrix[start][start + j]
matrix[start][start + j] = matrix[end - j][start]
matrix[end - j][start] = mat... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotate(self, matrix: List[List[int]]) -> None:
"""Do not return anything, modify matrix in-place instead."""
<|body_0|>
def rotate2(self, matrix: List[List[int]]) -> None:
"""Do not return anything, modify matrix in-place instead."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_072135 | 2,715 | no_license | [
{
"docstring": "Do not return anything, modify matrix in-place instead.",
"name": "rotate",
"signature": "def rotate(self, matrix: List[List[int]]) -> None"
},
{
"docstring": "Do not return anything, modify matrix in-place instead.",
"name": "rotate2",
"signature": "def rotate2(self, mat... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, matrix: List[List[int]]) -> None: Do not return anything, modify matrix in-place instead.
- def rotate2(self, matrix: List[List[int]]) -> None: Do not return any... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, matrix: List[List[int]]) -> None: Do not return anything, modify matrix in-place instead.
- def rotate2(self, matrix: List[List[int]]) -> None: Do not return any... | 3fe8c2298a52a15fadec0693e00445d875c4b6ea | <|skeleton|>
class Solution:
def rotate(self, matrix: List[List[int]]) -> None:
"""Do not return anything, modify matrix in-place instead."""
<|body_0|>
def rotate2(self, matrix: List[List[int]]) -> None:
"""Do not return anything, modify matrix in-place instead."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def rotate(self, matrix: List[List[int]]) -> None:
"""Do not return anything, modify matrix in-place instead."""
for i in range(len(matrix) // 2):
start = i
end = len(matrix) - i - 1
for j in range(0, end - start):
tmp = matrix[star... | the_stack_v2_python_sparse | Rotate Image.py | huiyi999/leetcode_python | train | 0 | |
bcd6274c78cd2310492eb223698750d961085d5f | [
"task = {'targets': [out], 'actions': [(util.network.download, (url, out))], 'uptodate': [not overwrite]}\ntask.update(kwargs)\nreturn task",
"task = {'file_dep': [file], 'targets': [dir], 'actions': [(util.compression.extract_zipfile, (file, dir))], 'clean': [(util.file.maybe_rmtree, (dir,))]}\ntask.update(kwarg... | <|body_start_0|>
task = {'targets': [out], 'actions': [(util.network.download, (url, out))], 'uptodate': [not overwrite]}
task.update(kwargs)
return task
<|end_body_0|>
<|body_start_1|>
task = {'file_dep': [file], 'targets': [dir], 'actions': [(util.compression.extract_zipfile, (file, d... | I help with the creation of tasks | TaskHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskHelper:
"""I help with the creation of tasks"""
def download(url, out, overwrite=False, **kwargs):
"""Generate a task to download a file Note that, by default, downloads are never cleaned. You can change this behavior by sending clean=True along with the kwargs. Parameters ------... | stack_v2_sparse_classes_75kplus_train_072136 | 2,080 | no_license | [
{
"docstring": "Generate a task to download a file Note that, by default, downloads are never cleaned. You can change this behavior by sending clean=True along with the kwargs. Parameters ---------- url : str The url to download from. out : str or Path The output filename. overwrite : bool, default False If Tru... | 2 | stack_v2_sparse_classes_30k_train_025499 | Implement the Python class `TaskHelper` described below.
Class description:
I help with the creation of tasks
Method signatures and docstrings:
- def download(url, out, overwrite=False, **kwargs): Generate a task to download a file Note that, by default, downloads are never cleaned. You can change this behavior by se... | Implement the Python class `TaskHelper` described below.
Class description:
I help with the creation of tasks
Method signatures and docstrings:
- def download(url, out, overwrite=False, **kwargs): Generate a task to download a file Note that, by default, downloads are never cleaned. You can change this behavior by se... | 8e995e17c3e7ca63a588302ca72815f17603842e | <|skeleton|>
class TaskHelper:
"""I help with the creation of tasks"""
def download(url, out, overwrite=False, **kwargs):
"""Generate a task to download a file Note that, by default, downloads are never cleaned. You can change this behavior by sending clean=True along with the kwargs. Parameters ------... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TaskHelper:
"""I help with the creation of tasks"""
def download(url, out, overwrite=False, **kwargs):
"""Generate a task to download a file Note that, by default, downloads are never cleaned. You can change this behavior by sending clean=True along with the kwargs. Parameters ---------- url : st... | the_stack_v2_python_sparse | cpe_help/util/doit_tasks.py | lowerthansound/kag-cpe | train | 0 |
cf9eea68ada9eae96c874aa92d2242ea6ed4218c | [
"parser = reqparse.RequestParser()\nparser.add_argument('preference', location='json')\nparser.add_argument('category', location='json')\nargs = parser.parse_args()\ncategory = Categories(args['preference'], args['category'])\ndb.session.add(category)\ndb.session.commit()\napp.logger.debug('DEBUG : %s', category)\n... | <|body_start_0|>
parser = reqparse.RequestParser()
parser.add_argument('preference', location='json')
parser.add_argument('category', location='json')
args = parser.parse_args()
category = Categories(args['preference'], args['category'])
db.session.add(category)
d... | Class for add preference category and get all preference category | CategoryResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CategoryResource:
"""Class for add preference category and get all preference category"""
def post(self):
"""method to add preference category"""
<|body_0|>
def get(self):
"""method to get all category from certain preferences"""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_75kplus_train_072137 | 1,646 | no_license | [
{
"docstring": "method to add preference category",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "method to get all category from certain preferences",
"name": "get",
"signature": "def get(self)"
}
] | 2 | null | Implement the Python class `CategoryResource` described below.
Class description:
Class for add preference category and get all preference category
Method signatures and docstrings:
- def post(self): method to add preference category
- def get(self): method to get all category from certain preferences | Implement the Python class `CategoryResource` described below.
Class description:
Class for add preference category and get all preference category
Method signatures and docstrings:
- def post(self): method to add preference category
- def get(self): method to get all category from certain preferences
<|skeleton|>
c... | dea983a0521aa2d53363014bc8541a4c4d035a60 | <|skeleton|>
class CategoryResource:
"""Class for add preference category and get all preference category"""
def post(self):
"""method to add preference category"""
<|body_0|>
def get(self):
"""method to get all category from certain preferences"""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CategoryResource:
"""Class for add preference category and get all preference category"""
def post(self):
"""method to add preference category"""
parser = reqparse.RequestParser()
parser.add_argument('preference', location='json')
parser.add_argument('category', location='... | the_stack_v2_python_sparse | blueprints/categories/resource.py | SyamsulAlterra/Evant_backend | train | 0 |
99b867b40d914f669b441ae17446acef579e0eb0 | [
"today = dt.date.today()\ndates_in_surrounding_months = [today + relativedelta(months=diff) for diff in xrange(-1, 5)]\nreturn list(chain.from_iterable([self.get_events_for_month(date.year, date.month) for date in dates_in_surrounding_months if date.year == today.year]))",
"request_data = {'action': 'get_event_sh... | <|body_start_0|>
today = dt.date.today()
dates_in_surrounding_months = [today + relativedelta(months=diff) for diff in xrange(-1, 5)]
return list(chain.from_iterable([self.get_events_for_month(date.year, date.month) for date in dates_in_surrounding_months if date.year == today.year]))
<|end_body... | This scraper is used to scrape music shows from the OzenBar website. | OzenBarScraper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OzenBarScraper:
"""This scraper is used to scrape music shows from the OzenBar website."""
def scrape(self):
"""This method scrapes events (mostly music shows) from the OzenBar website. The OzenBar website exposes a php view, that receives a month and a year, and returns an html repr... | stack_v2_sparse_classes_75kplus_train_072138 | 5,520 | no_license | [
{
"docstring": "This method scrapes events (mostly music shows) from the OzenBar website. The OzenBar website exposes a php view, that receives a month and a year, and returns an html representation of a list of the events of that month. We send requests for three months back, and a year forward, parse the retu... | 4 | stack_v2_sparse_classes_30k_train_009334 | Implement the Python class `OzenBarScraper` described below.
Class description:
This scraper is used to scrape music shows from the OzenBar website.
Method signatures and docstrings:
- def scrape(self): This method scrapes events (mostly music shows) from the OzenBar website. The OzenBar website exposes a php view, t... | Implement the Python class `OzenBarScraper` described below.
Class description:
This scraper is used to scrape music shows from the OzenBar website.
Method signatures and docstrings:
- def scrape(self): This method scrapes events (mostly music shows) from the OzenBar website. The OzenBar website exposes a php view, t... | b32df4c4d6d385732d76574985c71529cea050b8 | <|skeleton|>
class OzenBarScraper:
"""This scraper is used to scrape music shows from the OzenBar website."""
def scrape(self):
"""This method scrapes events (mostly music shows) from the OzenBar website. The OzenBar website exposes a php view, that receives a month and a year, and returns an html repr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OzenBarScraper:
"""This scraper is used to scrape music shows from the OzenBar website."""
def scrape(self):
"""This method scrapes events (mostly music shows) from the OzenBar website. The OzenBar website exposes a php view, that receives a month and a year, and returns an html representation of... | the_stack_v2_python_sparse | src/donight/event_finder/scrapers/ozen_bar.py | ehudhala/donight | train | 1 |
bc7867a3e997939292ac0777ed17ead2a75c2a7c | [
"data = self.get_json()\nif 'obj_id' not in data:\n return self.error('Missing required parameter: obj_id')\nwith self.Session() as session:\n try:\n obj_id = post_thumbnail(data, self.associated_user_object.id, session)\n except Exception as e:\n return self.error(f'Thumbnail failed to post:... | <|body_start_0|>
data = self.get_json()
if 'obj_id' not in data:
return self.error('Missing required parameter: obj_id')
with self.Session() as session:
try:
obj_id = post_thumbnail(data, self.associated_user_object.id, session)
except Exceptio... | ThumbnailHandler | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThumbnailHandler:
def post(self):
"""--- description: Upload thumbnails tags: - thumbnails requestBody: content: application/json: schema: type: object properties: obj_id: type: string description: ID of object associated with thumbnails. data: type: string format: byte description: base... | stack_v2_sparse_classes_75kplus_train_072139 | 22,926 | permissive | [
{
"docstring": "--- description: Upload thumbnails tags: - thumbnails requestBody: content: application/json: schema: type: object properties: obj_id: type: string description: ID of object associated with thumbnails. data: type: string format: byte description: base64-encoded PNG image file contents. Image siz... | 4 | stack_v2_sparse_classes_30k_train_007035 | Implement the Python class `ThumbnailHandler` described below.
Class description:
Implement the ThumbnailHandler class.
Method signatures and docstrings:
- def post(self): --- description: Upload thumbnails tags: - thumbnails requestBody: content: application/json: schema: type: object properties: obj_id: type: strin... | Implement the Python class `ThumbnailHandler` described below.
Class description:
Implement the ThumbnailHandler class.
Method signatures and docstrings:
- def post(self): --- description: Upload thumbnails tags: - thumbnails requestBody: content: application/json: schema: type: object properties: obj_id: type: strin... | 161d3532ba3ba059446addcdac58ca96f39e9636 | <|skeleton|>
class ThumbnailHandler:
def post(self):
"""--- description: Upload thumbnails tags: - thumbnails requestBody: content: application/json: schema: type: object properties: obj_id: type: string description: ID of object associated with thumbnails. data: type: string format: byte description: base... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThumbnailHandler:
def post(self):
"""--- description: Upload thumbnails tags: - thumbnails requestBody: content: application/json: schema: type: object properties: obj_id: type: string description: ID of object associated with thumbnails. data: type: string format: byte description: base64-encoded PNG... | the_stack_v2_python_sparse | skyportal/handlers/api/thumbnail.py | skyportal/skyportal | train | 80 | |
34734df296c33c6858c578e0fb8d59c173e38360 | [
"try:\n lines = int(request.query.get('lines', 0))\nexcept ValueError:\n return Response(text='Invalid datetime', status=HTTP_BAD_REQUEST)\nhass = request.app['hass']\nresponse = await hass.async_add_executor_job(self._get_log, hass, lines)\nreturn Response(text='\\n'.join(response))",
"logfilepath = hass.c... | <|body_start_0|>
try:
lines = int(request.query.get('lines', 0))
except ValueError:
return Response(text='Invalid datetime', status=HTTP_BAD_REQUEST)
hass = request.app['hass']
response = await hass.async_add_executor_job(self._get_log, hass, lines)
return... | View to read the ZWave log file. | ZWaveLogView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZWaveLogView:
"""View to read the ZWave log file."""
async def get(self, request):
"""Retrieve the lines from ZWave log."""
<|body_0|>
def _get_log(self, hass, lines):
"""Retrieve the logfile content."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_072140 | 9,288 | permissive | [
{
"docstring": "Retrieve the lines from ZWave log.",
"name": "get",
"signature": "async def get(self, request)"
},
{
"docstring": "Retrieve the logfile content.",
"name": "_get_log",
"signature": "def _get_log(self, hass, lines)"
}
] | 2 | null | Implement the Python class `ZWaveLogView` described below.
Class description:
View to read the ZWave log file.
Method signatures and docstrings:
- async def get(self, request): Retrieve the lines from ZWave log.
- def _get_log(self, hass, lines): Retrieve the logfile content. | Implement the Python class `ZWaveLogView` described below.
Class description:
View to read the ZWave log file.
Method signatures and docstrings:
- async def get(self, request): Retrieve the lines from ZWave log.
- def _get_log(self, hass, lines): Retrieve the logfile content.
<|skeleton|>
class ZWaveLogView:
"""... | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | <|skeleton|>
class ZWaveLogView:
"""View to read the ZWave log file."""
async def get(self, request):
"""Retrieve the lines from ZWave log."""
<|body_0|>
def _get_log(self, hass, lines):
"""Retrieve the logfile content."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZWaveLogView:
"""View to read the ZWave log file."""
async def get(self, request):
"""Retrieve the lines from ZWave log."""
try:
lines = int(request.query.get('lines', 0))
except ValueError:
return Response(text='Invalid datetime', status=HTTP_BAD_REQUEST)
... | the_stack_v2_python_sparse | homeassistant/components/config/zwave.py | BenWoodford/home-assistant | train | 11 |
caa0f6e81d8b6908bfa1eba5fbecc64271a56bd6 | [
"hash_map = {}\nfor i, n in enumerate(nums):\n for d in range(t + 1):\n if n - d in hash_map and i - hash_map[abs(n - d)] <= k:\n return True\n elif n + d in hash_map and i - hash_map[n + d] <= k:\n return True\n hash_map[n] = i\nreturn False",
"if k == 0:\n return Fal... | <|body_start_0|>
hash_map = {}
for i, n in enumerate(nums):
for d in range(t + 1):
if n - d in hash_map and i - hash_map[abs(n - d)] <= k:
return True
elif n + d in hash_map and i - hash_map[n + d] <= k:
return True
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate_TLE(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
... | stack_v2_sparse_classes_75kplus_train_072141 | 3,134 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "containsNearbyAlmostDuplicate_TLE",
"signature": "def containsNearbyAlmostDuplicate_TLE(self, nums, k, t)"
},
{
"docstring": ":type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "contai... | 2 | stack_v2_sparse_classes_30k_train_015437 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate_TLE(self, nums, k, t): :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmostDuplicate(self, nums, k, t): :type... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate_TLE(self, nums, k, t): :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmostDuplicate(self, nums, k, t): :type... | 2d5fa4cd696d5035ea8859befeadc5cc436959c9 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate_TLE(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def containsNearbyAlmostDuplicate_TLE(self, nums, k, t):
""":type nums: List[int] :type k: int :type t: int :rtype: bool"""
hash_map = {}
for i, n in enumerate(nums):
for d in range(t + 1):
if n - d in hash_map and i - hash_map[abs(n - d)] <= k:
... | the_stack_v2_python_sparse | SourceCode/Python/Problem/00220.Contains Duplicate III.py | roger6blog/LeetCode | train | 0 | |
63bbb2e1ec2a2166a25ce951c8c51b2336c99504 | [
"if not head:\n return None\nslow = head\nfast = head.next\nwhile fast != slow:\n if not fast or not fast.next:\n return None\n slow = slow.next\n fast = fast.next.next\nwhile head != slow.next:\n head = head.next\n slow = slow.next\nreturn head",
"slow = fast = head\nwhile fast and fast.... | <|body_start_0|>
if not head:
return None
slow = head
fast = head.next
while fast != slow:
if not fast or not fast.next:
return None
slow = slow.next
fast = fast.next.next
while head != slow.next:
head = ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head:
return None
... | stack_v2_sparse_classes_75kplus_train_072142 | 1,734 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "detectCycle",
"signature": "def detectCycle(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "detectCycle",
"signature": "def detectCycle(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_test_002980 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head): :type head: ListNode :rtype: ListNode
- def detectCycle(self, head): :type head: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head): :type head: ListNode :rtype: ListNode
- def detectCycle(self, head): :type head: ListNode :rtype: ListNode
<|skeleton|>
class Solution:
def det... | a2cd0dc5e098080df87c4fb57d16877d21ca47a3 | <|skeleton|>
class Solution:
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
if not head:
return None
slow = head
fast = head.next
while fast != slow:
if not fast or not fast.next:
return None
slow = slow.next
... | the_stack_v2_python_sparse | 0142_Linked_List_Cycle_II/solution.py | benjaminhuanghuang/ben-leetcode | train | 1 | |
e6c2feacac10e77d6342b77f4e816eb8add0b1f7 | [
"self.lr_scheduler = lr_scheduler\nself.print_lr = print_lr\nself.logger = logging.getLogger(name)\nself.epoch_level = epoch_level\nif not callable(step_transform):\n raise TypeError(f'step_transform must be callable but is {type(step_transform).__name__}.')\nself.step_transform = step_transform\nself._name = na... | <|body_start_0|>
self.lr_scheduler = lr_scheduler
self.print_lr = print_lr
self.logger = logging.getLogger(name)
self.epoch_level = epoch_level
if not callable(step_transform):
raise TypeError(f'step_transform must be callable but is {type(step_transform).__name__}.')... | Ignite handler to update the Learning Rate based on PyTorch LR scheduler. | LrScheduleHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LrScheduleHandler:
"""Ignite handler to update the Learning Rate based on PyTorch LR scheduler."""
def __init__(self, lr_scheduler: _LRScheduler | ReduceLROnPlateau, print_lr: bool=True, name: str | None=None, epoch_level: bool=True, step_transform: Callable[[Engine], Any]=lambda engine: ())... | stack_v2_sparse_classes_75kplus_train_072143 | 3,575 | permissive | [
{
"docstring": "Args: lr_scheduler: typically, lr_scheduler should be PyTorch lr_scheduler object. If customized version, must have `step` and `get_last_lr` methods. print_lr: whether to print out the latest learning rate with logging. name: identifier of logging.logger to use, if None, defaulting to ``engine.l... | 3 | stack_v2_sparse_classes_30k_train_038541 | Implement the Python class `LrScheduleHandler` described below.
Class description:
Ignite handler to update the Learning Rate based on PyTorch LR scheduler.
Method signatures and docstrings:
- def __init__(self, lr_scheduler: _LRScheduler | ReduceLROnPlateau, print_lr: bool=True, name: str | None=None, epoch_level: b... | Implement the Python class `LrScheduleHandler` described below.
Class description:
Ignite handler to update the Learning Rate based on PyTorch LR scheduler.
Method signatures and docstrings:
- def __init__(self, lr_scheduler: _LRScheduler | ReduceLROnPlateau, print_lr: bool=True, name: str | None=None, epoch_level: b... | e48c3e2c741fa3fc705c4425d17ac4a5afac6c47 | <|skeleton|>
class LrScheduleHandler:
"""Ignite handler to update the Learning Rate based on PyTorch LR scheduler."""
def __init__(self, lr_scheduler: _LRScheduler | ReduceLROnPlateau, print_lr: bool=True, name: str | None=None, epoch_level: bool=True, step_transform: Callable[[Engine], Any]=lambda engine: ())... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LrScheduleHandler:
"""Ignite handler to update the Learning Rate based on PyTorch LR scheduler."""
def __init__(self, lr_scheduler: _LRScheduler | ReduceLROnPlateau, print_lr: bool=True, name: str | None=None, epoch_level: bool=True, step_transform: Callable[[Engine], Any]=lambda engine: ()) -> None:
... | the_stack_v2_python_sparse | monai/handlers/lr_schedule_handler.py | Project-MONAI/MONAI | train | 4,805 |
9991069a7e061c18f0b9e6455841b415aa480e63 | [
"self.obs_dim = obs_dim\nself.act_dim = act_dim\nself.hidden_size = hidden_sizes\nself.hd_activation = hd_activation\nself.logger = logger\ntry:\n assert hd_activation in ['Linear', 'Tanh', 'Sigmoid', 'ReLU']\nexcept AssertionError as e:\n self.logger.to_warn('目前激活函数的类型尚不支持输入的类型：%s' % hd_activation)\n rais... | <|body_start_0|>
self.obs_dim = obs_dim
self.act_dim = act_dim
self.hidden_size = hidden_sizes
self.hd_activation = hd_activation
self.logger = logger
try:
assert hd_activation in ['Linear', 'Tanh', 'Sigmoid', 'ReLU']
except AssertionError as e:
... | MLPContiModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MLPContiModel:
def __init__(self, obs_dim: int, act_dim: int, hidden_sizes: tuple, hd_activation: str, logger: Logger):
"""基于多层感知机的连续控制策略网络 :param obs_dim: int, 状态观测向量的长度 :param act_dim: int, 行动向量的长度 :param hidden_sizes: tuple, 隐藏层的层数和每一层的神经元个数 :param hd_activation: str, 隐藏层使用的激活函数 :para... | stack_v2_sparse_classes_75kplus_train_072144 | 8,909 | permissive | [
{
"docstring": "基于多层感知机的连续控制策略网络 :param obs_dim: int, 状态观测向量的长度 :param act_dim: int, 行动向量的长度 :param hidden_sizes: tuple, 隐藏层的层数和每一层的神经元个数 :param hd_activation: str, 隐藏层使用的激活函数 :param logger: Logger, 记录相关信息的日志对象",
"name": "__init__",
"signature": "def __init__(self, obs_dim: int, act_dim: int, hidden_siz... | 2 | stack_v2_sparse_classes_30k_train_034152 | Implement the Python class `MLPContiModel` described below.
Class description:
Implement the MLPContiModel class.
Method signatures and docstrings:
- def __init__(self, obs_dim: int, act_dim: int, hidden_sizes: tuple, hd_activation: str, logger: Logger): 基于多层感知机的连续控制策略网络 :param obs_dim: int, 状态观测向量的长度 :param act_dim:... | Implement the Python class `MLPContiModel` described below.
Class description:
Implement the MLPContiModel class.
Method signatures and docstrings:
- def __init__(self, obs_dim: int, act_dim: int, hidden_sizes: tuple, hd_activation: str, logger: Logger): 基于多层感知机的连续控制策略网络 :param obs_dim: int, 状态观测向量的长度 :param act_dim:... | 977b8360d9b1a58500148a7480b134537a2ed523 | <|skeleton|>
class MLPContiModel:
def __init__(self, obs_dim: int, act_dim: int, hidden_sizes: tuple, hd_activation: str, logger: Logger):
"""基于多层感知机的连续控制策略网络 :param obs_dim: int, 状态观测向量的长度 :param act_dim: int, 行动向量的长度 :param hidden_sizes: tuple, 隐藏层的层数和每一层的神经元个数 :param hd_activation: str, 隐藏层使用的激活函数 :para... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MLPContiModel:
def __init__(self, obs_dim: int, act_dim: int, hidden_sizes: tuple, hd_activation: str, logger: Logger):
"""基于多层感知机的连续控制策略网络 :param obs_dim: int, 状态观测向量的长度 :param act_dim: int, 行动向量的长度 :param hidden_sizes: tuple, 隐藏层的层数和每一层的神经元个数 :param hd_activation: str, 隐藏层使用的激活函数 :param logger: Logg... | the_stack_v2_python_sparse | TwinDelayedDDPG/model.py | xiaojianyang820/StandardRL | train | 0 | |
5fc2d820a7df8346d47946045b3c4c2652bbed0a | [
"if payload.get('password') != payload.get('confirm_password'):\n abort(400, 'Password does not match')\ncount, records = base_obj.get(COLLECTIONS['USERS'], {'email': payload['email']})\nif count > 0:\n abort(400, 'Email ID Already Exists')\npayload = custom_marshal(payload, user, 'create')\npayload['password... | <|body_start_0|>
if payload.get('password') != payload.get('confirm_password'):
abort(400, 'Password does not match')
count, records = base_obj.get(COLLECTIONS['USERS'], {'email': payload['email']})
if count > 0:
abort(400, 'Email ID Already Exists')
payload = cus... | Service Class for User View | UserService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserService:
"""Service Class for User View"""
def signup(self, payload):
"""signup function :return:"""
<|body_0|>
def activate(self, id):
"""Activate the user :param id: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if payload.get('... | stack_v2_sparse_classes_75kplus_train_072145 | 1,668 | no_license | [
{
"docstring": "signup function :return:",
"name": "signup",
"signature": "def signup(self, payload)"
},
{
"docstring": "Activate the user :param id: :return:",
"name": "activate",
"signature": "def activate(self, id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048717 | Implement the Python class `UserService` described below.
Class description:
Service Class for User View
Method signatures and docstrings:
- def signup(self, payload): signup function :return:
- def activate(self, id): Activate the user :param id: :return: | Implement the Python class `UserService` described below.
Class description:
Service Class for User View
Method signatures and docstrings:
- def signup(self, payload): signup function :return:
- def activate(self, id): Activate the user :param id: :return:
<|skeleton|>
class UserService:
"""Service Class for Use... | 075cd9a9faaa2d24f1c7ea8507c115e6936aed04 | <|skeleton|>
class UserService:
"""Service Class for User View"""
def signup(self, payload):
"""signup function :return:"""
<|body_0|>
def activate(self, id):
"""Activate the user :param id: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserService:
"""Service Class for User View"""
def signup(self, payload):
"""signup function :return:"""
if payload.get('password') != payload.get('confirm_password'):
abort(400, 'Password does not match')
count, records = base_obj.get(COLLECTIONS['USERS'], {'email': p... | the_stack_v2_python_sparse | app/users/service.py | nosqlly/Todo-App | train | 3 |
51fd6a76068091ba345bcdc0c9ec1feb8a73a787 | [
"if len(matrix) == 0:\n return False\nif len(matrix[0]) == 0:\n return False\nrow = self.vertical_search(matrix, target)\nreturn self.horizontal_search(matrix[row], target)",
"low, high = (0, len(matrix) - 1)\nwhile low <= high:\n mid = (low + high) // 2\n if matrix[mid][0] <= target <= matrix[mid][-1... | <|body_start_0|>
if len(matrix) == 0:
return False
if len(matrix[0]) == 0:
return False
row = self.vertical_search(matrix, target)
return self.horizontal_search(matrix[row], target)
<|end_body_0|>
<|body_start_1|>
low, high = (0, len(matrix) - 1)
... | Runtime: 36 ms, faster than 96.37% of Python3 online submissions for Search a 2D Matrix. Memory Usage: 14 MB, less than 33.84% of Python3 online submissions for Search a 2D Matrix. | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Runtime: 36 ms, faster than 96.37% of Python3 online submissions for Search a 2D Matrix. Memory Usage: 14 MB, less than 33.84% of Python3 online submissions for Search a 2D Matrix."""
def searchMatrix(self, matrix, target):
"""Simple approach Args: matrix: 2D matrix to l... | stack_v2_sparse_classes_75kplus_train_072146 | 3,400 | no_license | [
{
"docstring": "Simple approach Args: matrix: 2D matrix to look a target from target: an integer value to look for Returns: bool: True if target exists in the matrix, otherwise False",
"name": "searchMatrix",
"signature": "def searchMatrix(self, matrix, target)"
},
{
"docstring": "This determine... | 3 | stack_v2_sparse_classes_30k_train_043426 | Implement the Python class `Solution` described below.
Class description:
Runtime: 36 ms, faster than 96.37% of Python3 online submissions for Search a 2D Matrix. Memory Usage: 14 MB, less than 33.84% of Python3 online submissions for Search a 2D Matrix.
Method signatures and docstrings:
- def searchMatrix(self, matr... | Implement the Python class `Solution` described below.
Class description:
Runtime: 36 ms, faster than 96.37% of Python3 online submissions for Search a 2D Matrix. Memory Usage: 14 MB, less than 33.84% of Python3 online submissions for Search a 2D Matrix.
Method signatures and docstrings:
- def searchMatrix(self, matr... | 01fe893ba2e37c9bda79e3081c556698f0b6d2f0 | <|skeleton|>
class Solution:
"""Runtime: 36 ms, faster than 96.37% of Python3 online submissions for Search a 2D Matrix. Memory Usage: 14 MB, less than 33.84% of Python3 online submissions for Search a 2D Matrix."""
def searchMatrix(self, matrix, target):
"""Simple approach Args: matrix: 2D matrix to l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""Runtime: 36 ms, faster than 96.37% of Python3 online submissions for Search a 2D Matrix. Memory Usage: 14 MB, less than 33.84% of Python3 online submissions for Search a 2D Matrix."""
def searchMatrix(self, matrix, target):
"""Simple approach Args: matrix: 2D matrix to look a target ... | the_stack_v2_python_sparse | LeetCode/74_search_a_2d_matrix.py | KKosukeee/CodingQuestions | train | 1 |
bd5da5c516f3a0003478b4d0713baf58782e5b5a | [
"parser = reqparse.RequestParser()\nparser.add_argument('meal_name', type=str, help='meal_name is a required field', required=True)\nparser.add_argument('price', help='Price is a required field', required=True)\nargs = parser.parse_args()\nmeal = Meal(meal_name=args['meal_name'], price=args['price'])\nvalidate = me... | <|body_start_0|>
parser = reqparse.RequestParser()
parser.add_argument('meal_name', type=str, help='meal_name is a required field', required=True)
parser.add_argument('price', help='Price is a required field', required=True)
args = parser.parse_args()
meal = Meal(meal_name=args['... | mealsdb class | Mealsdb | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Mealsdb:
"""mealsdb class"""
def post():
"""Allows authenticated admin to create a meal token is required to get admin Id"""
<|body_0|>
def get():
"""Return all meals created by authenticated admin token is required to get admin Id"""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus_train_072147 | 4,258 | no_license | [
{
"docstring": "Allows authenticated admin to create a meal token is required to get admin Id",
"name": "post",
"signature": "def post()"
},
{
"docstring": "Return all meals created by authenticated admin token is required to get admin Id",
"name": "get",
"signature": "def get()"
}
] | 2 | stack_v2_sparse_classes_30k_val_000348 | Implement the Python class `Mealsdb` described below.
Class description:
mealsdb class
Method signatures and docstrings:
- def post(): Allows authenticated admin to create a meal token is required to get admin Id
- def get(): Return all meals created by authenticated admin token is required to get admin Id | Implement the Python class `Mealsdb` described below.
Class description:
mealsdb class
Method signatures and docstrings:
- def post(): Allows authenticated admin to create a meal token is required to get admin Id
- def get(): Return all meals created by authenticated admin token is required to get admin Id
<|skeleto... | eef5f2802c94e428412e2f9814a5dac85575ed8e | <|skeleton|>
class Mealsdb:
"""mealsdb class"""
def post():
"""Allows authenticated admin to create a meal token is required to get admin Id"""
<|body_0|>
def get():
"""Return all meals created by authenticated admin token is required to get admin Id"""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Mealsdb:
"""mealsdb class"""
def post():
"""Allows authenticated admin to create a meal token is required to get admin Id"""
parser = reqparse.RequestParser()
parser.add_argument('meal_name', type=str, help='meal_name is a required field', required=True)
parser.add_argumen... | the_stack_v2_python_sparse | api/views/meal_views.py | magicmarie/book_a_meal | train | 1 |
c6b22da551eb21565714b289562bbbe23eecdd02 | [
"for i in range(len(nums)):\n for j in range(i + 1, len(nums)):\n if nums[i] + nums[j] == target:\n return [i, j]",
"ht = {}\nfor i in range(len(nums)):\n ht[nums[i]] = i\nfor j in range(len(nums)):\n if target - nums[j] in ht and j != ht[target - nums[j]]:\n return [j, ht[target... | <|body_start_0|>
for i in range(len(nums)):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
return [i, j]
<|end_body_0|>
<|body_start_1|>
ht = {}
for i in range(len(nums)):
ht[nums[i]] = i
for j in range(len(n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def twoSum1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def twoSum2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_75kplus_train_072148 | 836 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "twoSum1",
"signature": "def twoSum1(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "twoSum2",
"signature": "def twoSum2(self, nums, target)"
... | 2 | stack_v2_sparse_classes_30k_train_040250 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum1(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def twoSum2(self, nums, target): :type nums: List[int] :type target: int :rtype: List... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum1(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def twoSum2(self, nums, target): :type nums: List[int] :type target: int :rtype: List... | 8dfbb10a87d8a3fdde466ab16fff8b67503e41f4 | <|skeleton|>
class Solution:
def twoSum1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def twoSum2(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def twoSum1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
for i in range(len(nums)):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
return [i, j]
def twoSum2(self, nums, tar... | the_stack_v2_python_sparse | easy/0001.two-sum.py | codershenghai/PyLeetcode | train | 0 | |
7566277fbe5b4aa47cb2e1ce09af0cf0711df3d1 | [
"encoding = jnp.ones(shape=(self.bsz, self.seq_len, self.model_dim), dtype=self.dtype)\nattention_mask = jnp.ones(shape=(self.bsz, self.seq_len), dtype=self.dtype)\nmodel = transformer.TransformerLayer(model_dim=self.model_dim, intermediate_dim=self.intermediate_dim, num_heads=self.num_heads, dropout_rate=self.drop... | <|body_start_0|>
encoding = jnp.ones(shape=(self.bsz, self.seq_len, self.model_dim), dtype=self.dtype)
attention_mask = jnp.ones(shape=(self.bsz, self.seq_len), dtype=self.dtype)
model = transformer.TransformerLayer(model_dim=self.model_dim, intermediate_dim=self.intermediate_dim, num_heads=self... | Transformer layer test. | TransformerTest | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerTest:
"""Transformer layer test."""
def test_transformer_layer_shape(self):
"""Testing transformer layer shape."""
<|body_0|>
def test_transformer_block_shape(self):
"""Testing transformer block shape."""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_75kplus_train_072149 | 2,562 | permissive | [
{
"docstring": "Testing transformer layer shape.",
"name": "test_transformer_layer_shape",
"signature": "def test_transformer_layer_shape(self)"
},
{
"docstring": "Testing transformer block shape.",
"name": "test_transformer_block_shape",
"signature": "def test_transformer_block_shape(se... | 2 | stack_v2_sparse_classes_30k_train_029272 | Implement the Python class `TransformerTest` described below.
Class description:
Transformer layer test.
Method signatures and docstrings:
- def test_transformer_layer_shape(self): Testing transformer layer shape.
- def test_transformer_block_shape(self): Testing transformer block shape. | Implement the Python class `TransformerTest` described below.
Class description:
Transformer layer test.
Method signatures and docstrings:
- def test_transformer_layer_shape(self): Testing transformer layer shape.
- def test_transformer_block_shape(self): Testing transformer block shape.
<|skeleton|>
class Transform... | ac9447064195e06de48cc91ff642f7fffa28ffe8 | <|skeleton|>
class TransformerTest:
"""Transformer layer test."""
def test_transformer_layer_shape(self):
"""Testing transformer layer shape."""
<|body_0|>
def test_transformer_block_shape(self):
"""Testing transformer block shape."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TransformerTest:
"""Transformer layer test."""
def test_transformer_layer_shape(self):
"""Testing transformer layer shape."""
encoding = jnp.ones(shape=(self.bsz, self.seq_len, self.model_dim), dtype=self.dtype)
attention_mask = jnp.ones(shape=(self.bsz, self.seq_len), dtype=self.... | the_stack_v2_python_sparse | language/mentionmemory/modules/transformer_test.py | google-research/language | train | 1,567 |
55c220872e0d725db6c14a2437ef6de197935f04 | [
"testGroup = EmployeeGroup(name='test_group')\nself.assertEqual(testGroup.name, 'test_group')\ntestGroup.save()\ntestGroupFromDatabase = EmployeeGroup.objects.get(name='test_group')\nself.assertEqual(testGroup, testGroupFromDatabase)",
"testGroup1 = EmployeeGroup(name='test_group_1')\ntestGroup2 = EmployeeGroup(n... | <|body_start_0|>
testGroup = EmployeeGroup(name='test_group')
self.assertEqual(testGroup.name, 'test_group')
testGroup.save()
testGroupFromDatabase = EmployeeGroup.objects.get(name='test_group')
self.assertEqual(testGroup, testGroupFromDatabase)
<|end_body_0|>
<|body_start_1|>
... | EmployeeGroupTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmployeeGroupTestCase:
def test_group_creation(self):
"""Tests the creation and saving of an employee group."""
<|body_0|>
def test_root_group_property(self):
"""Tests that the root group property works as expected"""
<|body_1|>
def test_group_cannot_be_... | stack_v2_sparse_classes_75kplus_train_072150 | 2,103 | no_license | [
{
"docstring": "Tests the creation and saving of an employee group.",
"name": "test_group_creation",
"signature": "def test_group_creation(self)"
},
{
"docstring": "Tests that the root group property works as expected",
"name": "test_root_group_property",
"signature": "def test_root_grou... | 4 | stack_v2_sparse_classes_30k_train_046567 | Implement the Python class `EmployeeGroupTestCase` described below.
Class description:
Implement the EmployeeGroupTestCase class.
Method signatures and docstrings:
- def test_group_creation(self): Tests the creation and saving of an employee group.
- def test_root_group_property(self): Tests that the root group prope... | Implement the Python class `EmployeeGroupTestCase` described below.
Class description:
Implement the EmployeeGroupTestCase class.
Method signatures and docstrings:
- def test_group_creation(self): Tests the creation and saving of an employee group.
- def test_root_group_property(self): Tests that the root group prope... | 6396256f8e1d6203cb3b353492e3730af5e95474 | <|skeleton|>
class EmployeeGroupTestCase:
def test_group_creation(self):
"""Tests the creation and saving of an employee group."""
<|body_0|>
def test_root_group_property(self):
"""Tests that the root group property works as expected"""
<|body_1|>
def test_group_cannot_be_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmployeeGroupTestCase:
def test_group_creation(self):
"""Tests the creation and saving of an employee group."""
testGroup = EmployeeGroup(name='test_group')
self.assertEqual(testGroup.name, 'test_group')
testGroup.save()
testGroupFromDatabase = EmployeeGroup.objects.get... | the_stack_v2_python_sparse | groups/tests.py | JordanField/Bizzorg-Server | train | 0 | |
7dec43bdd0c78b382c2badc34c97723acc2771bc | [
"if not root:\n return 0\nfrom collections import deque\nq = deque()\nq.appendleft(root)\nn = 0\nwhile q:\n for _ in range(len(q)):\n cur_node = q.pop()\n n += 1\n if cur_node.left:\n q.appendleft(cur_node.left)\n if cur_node.right:\n q.appendleft(cur_node.rig... | <|body_start_0|>
if not root:
return 0
from collections import deque
q = deque()
q.appendleft(root)
n = 0
while q:
for _ in range(len(q)):
cur_node = q.pop()
n += 1
if cur_node.left:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countNodes(self, root: TreeNode) -> int:
"""爆搜方式，使用层次遍历 :param root: :return:"""
<|body_0|>
def countNodes1(self, root: TreeNode) -> int:
"""使用递归方式 :param root: :return:"""
<|body_1|>
def countNodes2(self, root: TreeNode) -> int:
""... | stack_v2_sparse_classes_75kplus_train_072151 | 2,999 | no_license | [
{
"docstring": "爆搜方式，使用层次遍历 :param root: :return:",
"name": "countNodes",
"signature": "def countNodes(self, root: TreeNode) -> int"
},
{
"docstring": "使用递归方式 :param root: :return:",
"name": "countNodes1",
"signature": "def countNodes1(self, root: TreeNode) -> int"
},
{
"docstrin... | 3 | stack_v2_sparse_classes_30k_train_029131 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root: TreeNode) -> int: 爆搜方式，使用层次遍历 :param root: :return:
- def countNodes1(self, root: TreeNode) -> int: 使用递归方式 :param root: :return:
- def countNodes2(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root: TreeNode) -> int: 爆搜方式，使用层次遍历 :param root: :return:
- def countNodes1(self, root: TreeNode) -> int: 使用递归方式 :param root: :return:
- def countNodes2(self... | 9acba92695c06406f12f997a720bfe1deb9464a8 | <|skeleton|>
class Solution:
def countNodes(self, root: TreeNode) -> int:
"""爆搜方式，使用层次遍历 :param root: :return:"""
<|body_0|>
def countNodes1(self, root: TreeNode) -> int:
"""使用递归方式 :param root: :return:"""
<|body_1|>
def countNodes2(self, root: TreeNode) -> int:
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def countNodes(self, root: TreeNode) -> int:
"""爆搜方式，使用层次遍历 :param root: :return:"""
if not root:
return 0
from collections import deque
q = deque()
q.appendleft(root)
n = 0
while q:
for _ in range(len(q)):
... | the_stack_v2_python_sparse | datastructure/binary_array/CountNodes.py | yinhuax/leet_code | train | 0 | |
857b11cbbd61df1f2ad0bd78895ce66f6c61d7a9 | [
"if head is None or k <= 0:\n return None\nnode_front = head\nfor i in range(k - 1):\n if node_front.next is not None:\n node_front = node_front.next\n else:\n return None\nnode_behind = head\nwhile node_front.next is not None:\n node_front = node_front.next\n node_behind = node_behind.... | <|body_start_0|>
if head is None or k <= 0:
return None
node_front = head
for i in range(k - 1):
if node_front.next is not None:
node_front = node_front.next
else:
return None
node_behind = head
while node_front.... | 题目要求：输入一个链表， 输出该链表的倒数第k个节点 | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""题目要求：输入一个链表， 输出该链表的倒数第k个节点"""
def FindKthToTail(self, head, k):
"""倒数第k个么就是正数的第(N-K+1)个。设置两个指针，初始时，front指向 (k-1), behind指向第1个(两个指针相距 k-1)；然后两个 一起向前移动。当front到达链表结尾时front=n，behind刚好像指向第(n-k+1)"""
<|body_0|>
def FindKthToMiddel(self, head):
"""题目要求：求链表的... | stack_v2_sparse_classes_75kplus_train_072152 | 3,270 | no_license | [
{
"docstring": "倒数第k个么就是正数的第(N-K+1)个。设置两个指针，初始时，front指向 (k-1), behind指向第1个(两个指针相距 k-1)；然后两个 一起向前移动。当front到达链表结尾时front=n，behind刚好像指向第(n-k+1)",
"name": "FindKthToTail",
"signature": "def FindKthToTail(self, head, k)"
},
{
"docstring": "题目要求：求链表的中间节点。如果长度是奇数，返回中间节点；是偶数的时候，返回中间两个的任意一个 思路：设置两个节点，slow... | 3 | stack_v2_sparse_classes_30k_train_011704 | Implement the Python class `Solution` described below.
Class description:
题目要求：输入一个链表， 输出该链表的倒数第k个节点
Method signatures and docstrings:
- def FindKthToTail(self, head, k): 倒数第k个么就是正数的第(N-K+1)个。设置两个指针，初始时，front指向 (k-1), behind指向第1个(两个指针相距 k-1)；然后两个 一起向前移动。当front到达链表结尾时front=n，behind刚好像指向第(n-k+1)
- def FindKthToMiddel(s... | Implement the Python class `Solution` described below.
Class description:
题目要求：输入一个链表， 输出该链表的倒数第k个节点
Method signatures and docstrings:
- def FindKthToTail(self, head, k): 倒数第k个么就是正数的第(N-K+1)个。设置两个指针，初始时，front指向 (k-1), behind指向第1个(两个指针相距 k-1)；然后两个 一起向前移动。当front到达链表结尾时front=n，behind刚好像指向第(n-k+1)
- def FindKthToMiddel(s... | dfa21f6b9febc54073cec372ff6199cd6cc5ca4e | <|skeleton|>
class Solution:
"""题目要求：输入一个链表， 输出该链表的倒数第k个节点"""
def FindKthToTail(self, head, k):
"""倒数第k个么就是正数的第(N-K+1)个。设置两个指针，初始时，front指向 (k-1), behind指向第1个(两个指针相距 k-1)；然后两个 一起向前移动。当front到达链表结尾时front=n，behind刚好像指向第(n-k+1)"""
<|body_0|>
def FindKthToMiddel(self, head):
"""题目要求：求链表的... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""题目要求：输入一个链表， 输出该链表的倒数第k个节点"""
def FindKthToTail(self, head, k):
"""倒数第k个么就是正数的第(N-K+1)个。设置两个指针，初始时，front指向 (k-1), behind指向第1个(两个指针相距 k-1)；然后两个 一起向前移动。当front到达链表结尾时front=n，behind刚好像指向第(n-k+1)"""
if head is None or k <= 0:
return None
node_front = head
... | the_stack_v2_python_sparse | KthNodeFromEnd.py | zhang4ever/target_offer | train | 1 |
6b7b878c6d116084a6d0db11eb25f635f85c3c56 | [
"self.summary_type = ''\nself.source_ip = ''\nself.username = ''\nself.domain = ''\nself.first_seen = 0\nself.last_seen = 0\nself.first_auth = None\nself.successful_logins = []\nself.success_source_ips = set()\nself.success_usernames = set()\nself.summary = {}\nself.distinct_source_ip_count = 0\nself.distinct_usern... | <|body_start_0|>
self.summary_type = ''
self.source_ip = ''
self.username = ''
self.domain = ''
self.first_seen = 0
self.last_seen = 0
self.first_auth = None
self.successful_logins = []
self.success_source_ips = set()
self.success_usernames... | Class for storing authentication summary. Attributes: summary_type (str): The keyword used in generating summary. Valid values are "source_ip" or "username". source_ip (str): IP address of the client. username (str): Username used in authentication. domain (str): Domain name. Only relevant for Windows. first_seen (int)... | AuthSummary | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthSummary:
"""Class for storing authentication summary. Attributes: summary_type (str): The keyword used in generating summary. Valid values are "source_ip" or "username". source_ip (str): IP address of the client. username (str): Username used in authentication. domain (str): Domain name. Only... | stack_v2_sparse_classes_75kplus_train_072153 | 33,481 | permissive | [
{
"docstring": "Initialize AuthSummary.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Convert and return dict. Returns: dict: A dictionary of selected fields in AuthSummary object.",
"name": "to_dict",
"signature": "def to_dict(self) -> dict"
}
] | 2 | stack_v2_sparse_classes_30k_train_043992 | Implement the Python class `AuthSummary` described below.
Class description:
Class for storing authentication summary. Attributes: summary_type (str): The keyword used in generating summary. Valid values are "source_ip" or "username". source_ip (str): IP address of the client. username (str): Username used in authenti... | Implement the Python class `AuthSummary` described below.
Class description:
Class for storing authentication summary. Attributes: summary_type (str): The keyword used in generating summary. Valid values are "source_ip" or "username". source_ip (str): IP address of the client. username (str): Username used in authenti... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class AuthSummary:
"""Class for storing authentication summary. Attributes: summary_type (str): The keyword used in generating summary. Valid values are "source_ip" or "username". source_ip (str): IP address of the client. username (str): Username used in authentication. domain (str): Domain name. Only... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthSummary:
"""Class for storing authentication summary. Attributes: summary_type (str): The keyword used in generating summary. Valid values are "source_ip" or "username". source_ip (str): IP address of the client. username (str): Username used in authentication. domain (str): Domain name. Only relevant for... | the_stack_v2_python_sparse | timesketch/lib/analyzers/authentication/utils.py | google/timesketch | train | 2,263 |
6c170170e36a6827b7326eaf8854b34e333a0335 | [
"self.config = parse_config(config_file)\nif scene_id is not None:\n self.config['scene_id'] = scene_id\nself.keep_doors_list = self.mapping.map_settings[self.config['scene_id']]['doors']\nself.remove_doors = self.config['remove_doors']\nself.mapping.load_miscellaneous_map(self.config['scene_id'])\nself.mode = s... | <|body_start_0|>
self.config = parse_config(config_file)
if scene_id is not None:
self.config['scene_id'] = scene_id
self.keep_doors_list = self.mapping.map_settings[self.config['scene_id']]['doors']
self.remove_doors = self.config['remove_doors']
self.mapping.load_mi... | Base Env class, follows OpenAI Gym interface Handles loading scene and robot Functions like reset and step are not implemented | BaseFunctions | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseFunctions:
"""Base Env class, follows OpenAI Gym interface Handles loading scene and robot Functions like reset and step are not implemented"""
def __init__(self, config_file, scene_id=None, render_to_tensor=False, device_idx=0):
""":param config_file: config_file path :param sce... | stack_v2_sparse_classes_75kplus_train_072154 | 7,132 | permissive | [
{
"docstring": ":param config_file: config_file path :param scene_id: override scene_id in config file :param mode: headless or gui mode :param action_timestep: environment executes action per action_timestep second :param physics_timestep: physics timestep for pybullet :param device_idx: device_idx: which GPU ... | 3 | stack_v2_sparse_classes_30k_train_023995 | Implement the Python class `BaseFunctions` described below.
Class description:
Base Env class, follows OpenAI Gym interface Handles loading scene and robot Functions like reset and step are not implemented
Method signatures and docstrings:
- def __init__(self, config_file, scene_id=None, render_to_tensor=False, devic... | Implement the Python class `BaseFunctions` described below.
Class description:
Base Env class, follows OpenAI Gym interface Handles loading scene and robot Functions like reset and step are not implemented
Method signatures and docstrings:
- def __init__(self, config_file, scene_id=None, render_to_tensor=False, devic... | b3d6ce670cdf63469fc5766630eb295d67b3d788 | <|skeleton|>
class BaseFunctions:
"""Base Env class, follows OpenAI Gym interface Handles loading scene and robot Functions like reset and step are not implemented"""
def __init__(self, config_file, scene_id=None, render_to_tensor=False, device_idx=0):
""":param config_file: config_file path :param sce... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseFunctions:
"""Base Env class, follows OpenAI Gym interface Handles loading scene and robot Functions like reset and step are not implemented"""
def __init__(self, config_file, scene_id=None, render_to_tensor=False, device_idx=0):
""":param config_file: config_file path :param scene_id: overri... | the_stack_v2_python_sparse | src/opendr/control/multi_object_search/algorithm/igibson/env_functions.py | opendr-eu/opendr | train | 535 |
c68ca9e3c6c23db3b19896b893703b652e4bb083 | [
"self.config.update_config()\nquery = self.config.get_base_query()\nquery = self.validate_base_query(query)\nquery = query.filter(or_(and_(Task.predecessor == None, Task.successors == None), Task.client_id == get_client_id()))\nquery = self.extend_query_with_ordering(query)\nif self.config.filter_text:\n query =... | <|body_start_0|>
self.config.update_config()
query = self.config.get_base_query()
query = self.validate_base_query(query)
query = query.filter(or_(and_(Task.predecessor == None, Task.successors == None), Task.client_id == get_client_id()))
query = self.extend_query_with_ordering(... | Source adapter for Tasks we got from SQL | GlobalTaskTableSource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GlobalTaskTableSource:
"""Source adapter for Tasks we got from SQL"""
def build_query(self):
"""Builds the query based on `get_base_query()` method of config. Returns the query object."""
<|body_0|>
def extend_query_with_statefilter(self, query, open_state):
"""W... | stack_v2_sparse_classes_75kplus_train_072155 | 6,256 | no_license | [
{
"docstring": "Builds the query based on `get_base_query()` method of config. Returns the query object.",
"name": "build_query",
"signature": "def build_query(self)"
},
{
"docstring": "When a state filter is active, we add a filter which select just the open tasks",
"name": "extend_query_wi... | 2 | stack_v2_sparse_classes_30k_train_033902 | Implement the Python class `GlobalTaskTableSource` described below.
Class description:
Source adapter for Tasks we got from SQL
Method signatures and docstrings:
- def build_query(self): Builds the query based on `get_base_query()` method of config. Returns the query object.
- def extend_query_with_statefilter(self, ... | Implement the Python class `GlobalTaskTableSource` described below.
Class description:
Source adapter for Tasks we got from SQL
Method signatures and docstrings:
- def build_query(self): Builds the query based on `get_base_query()` method of config. Returns the query object.
- def extend_query_with_statefilter(self, ... | 954964872f73c0d18d5b0e0ab2dbf603849e4e87 | <|skeleton|>
class GlobalTaskTableSource:
"""Source adapter for Tasks we got from SQL"""
def build_query(self):
"""Builds the query based on `get_base_query()` method of config. Returns the query object."""
<|body_0|>
def extend_query_with_statefilter(self, query, open_state):
"""W... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GlobalTaskTableSource:
"""Source adapter for Tasks we got from SQL"""
def build_query(self):
"""Builds the query based on `get_base_query()` method of config. Returns the query object."""
self.config.update_config()
query = self.config.get_base_query()
query = self.validat... | the_stack_v2_python_sparse | opengever/tabbedview/browser/tasklisting.py | hellfish2/opengever.core | train | 1 |
a954c3aef430a362a62ed4957bc2050fedf28378 | [
"dup, total, n = (0, 0, len(nums))\nfor num in nums:\n if nums[abs(num) - 1] < 0:\n dup = abs(num)\n else:\n nums[abs(num) - 1] *= -1\n total += abs(num)\nreturn [dup, (1 + n) * n // 2 - total + dup]",
"sum1 = sum(nums)\nsum2 = sum((e * e for e in nums))\nn = len(nums)\nx = n * (n + 1) // 2... | <|body_start_0|>
dup, total, n = (0, 0, len(nums))
for num in nums:
if nums[abs(num) - 1] < 0:
dup = abs(num)
else:
nums[abs(num) - 1] *= -1
total += abs(num)
return [dup, (1 + n) * n // 2 - total + dup]
<|end_body_0|>
<|body_s... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findErrorNums_MK1(self, nums: List[int]) -> List[int]:
"""Time complexity: O(n). Space complexity: O(1)."""
<|body_0|>
def findErrorNums_MK2(self, nums: List[int]) -> List[int]:
"""Time complexity: O(n) Space complexity: O(1)"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_072156 | 1,569 | no_license | [
{
"docstring": "Time complexity: O(n). Space complexity: O(1).",
"name": "findErrorNums_MK1",
"signature": "def findErrorNums_MK1(self, nums: List[int]) -> List[int]"
},
{
"docstring": "Time complexity: O(n) Space complexity: O(1)",
"name": "findErrorNums_MK2",
"signature": "def findErro... | 3 | stack_v2_sparse_classes_30k_train_016769 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findErrorNums_MK1(self, nums: List[int]) -> List[int]: Time complexity: O(n). Space complexity: O(1).
- def findErrorNums_MK2(self, nums: List[int]) -> List[int]: Time comple... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findErrorNums_MK1(self, nums: List[int]) -> List[int]: Time complexity: O(n). Space complexity: O(1).
- def findErrorNums_MK2(self, nums: List[int]) -> List[int]: Time comple... | d7ba416d22becfa8f2a2ae4eee04c86617cd9332 | <|skeleton|>
class Solution:
def findErrorNums_MK1(self, nums: List[int]) -> List[int]:
"""Time complexity: O(n). Space complexity: O(1)."""
<|body_0|>
def findErrorNums_MK2(self, nums: List[int]) -> List[int]:
"""Time complexity: O(n) Space complexity: O(1)"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findErrorNums_MK1(self, nums: List[int]) -> List[int]:
"""Time complexity: O(n). Space complexity: O(1)."""
dup, total, n = (0, 0, len(nums))
for num in nums:
if nums[abs(num) - 1] < 0:
dup = abs(num)
else:
nums[abs(... | the_stack_v2_python_sparse | 0645. Set Mismatch/Solution.py | faterazer/LeetCode | train | 4 | |
6a21073c6b87e0473566944f21ffd2c3aa93d615 | [
"self.schedulers = schedulers\nself.optimizer = optimizer\nself.init_values = dict()\nfor s in self.schedulers:\n self.init_values[s.key] = getattr(self.optimizer, s.key)",
"for s in self.schedulers:\n new_val = self.init_values[s.key] * s.scale(n_iter)\n setattr(self.optimizer, s.key, new_val)"
] | <|body_start_0|>
self.schedulers = schedulers
self.optimizer = optimizer
self.init_values = dict()
for s in self.schedulers:
self.init_values[s.key] = getattr(self.optimizer, s.key)
<|end_body_0|>
<|body_start_1|>
for s in self.schedulers:
new_val = self.... | Chainer optimizer scheduler. | ChainerScheduler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChainerScheduler:
"""Chainer optimizer scheduler."""
def __init__(self, schedulers: List[SchedulerInterface], optimizer: Optimizer):
"""Initialize class."""
<|body_0|>
def step(self, n_iter: int):
"""Update optimizer by scheduling."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus_train_072157 | 781 | permissive | [
{
"docstring": "Initialize class.",
"name": "__init__",
"signature": "def __init__(self, schedulers: List[SchedulerInterface], optimizer: Optimizer)"
},
{
"docstring": "Update optimizer by scheduling.",
"name": "step",
"signature": "def step(self, n_iter: int)"
}
] | 2 | null | Implement the Python class `ChainerScheduler` described below.
Class description:
Chainer optimizer scheduler.
Method signatures and docstrings:
- def __init__(self, schedulers: List[SchedulerInterface], optimizer: Optimizer): Initialize class.
- def step(self, n_iter: int): Update optimizer by scheduling. | Implement the Python class `ChainerScheduler` described below.
Class description:
Chainer optimizer scheduler.
Method signatures and docstrings:
- def __init__(self, schedulers: List[SchedulerInterface], optimizer: Optimizer): Initialize class.
- def step(self, n_iter: int): Update optimizer by scheduling.
<|skeleto... | bcd20948db7846ee523443ef9fd78c7a1248c95e | <|skeleton|>
class ChainerScheduler:
"""Chainer optimizer scheduler."""
def __init__(self, schedulers: List[SchedulerInterface], optimizer: Optimizer):
"""Initialize class."""
<|body_0|>
def step(self, n_iter: int):
"""Update optimizer by scheduling."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChainerScheduler:
"""Chainer optimizer scheduler."""
def __init__(self, schedulers: List[SchedulerInterface], optimizer: Optimizer):
"""Initialize class."""
self.schedulers = schedulers
self.optimizer = optimizer
self.init_values = dict()
for s in self.schedulers:
... | the_stack_v2_python_sparse | espnet/scheduler/chainer.py | espnet/espnet | train | 7,242 |
904c99628266beb1aaf97143309deea9557cb50d | [
"super(Spaceship, self).__init__(position, load_image_convert_alpha('spaceship-off.png'))\nself.image_on = load_image_convert_alpha('spaceship-on.png')\nself.direction = [0, -1]\nself.is_throttle_on = False\nself.angle = 0\nself.active_missiles = []",
"if self.is_throttle_on:\n new_image, rect = rotate_center(... | <|body_start_0|>
super(Spaceship, self).__init__(position, load_image_convert_alpha('spaceship-off.png'))
self.image_on = load_image_convert_alpha('spaceship-on.png')
self.direction = [0, -1]
self.is_throttle_on = False
self.angle = 0
self.active_missiles = []
<|end_body_... | Spaceship | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Spaceship:
def __init__(self, position):
"""initializing an Spaceship object given it's position"""
<|body_0|>
def draw_on(self, screen):
"""Draw the spaceship on the screen"""
<|body_1|>
def move(self):
"""Do one frame's worth of updating for th... | stack_v2_sparse_classes_75kplus_train_072158 | 23,271 | no_license | [
{
"docstring": "initializing an Spaceship object given it's position",
"name": "__init__",
"signature": "def __init__(self, position)"
},
{
"docstring": "Draw the spaceship on the screen",
"name": "draw_on",
"signature": "def draw_on(self, screen)"
},
{
"docstring": "Do one frame... | 4 | stack_v2_sparse_classes_30k_train_012793 | Implement the Python class `Spaceship` described below.
Class description:
Implement the Spaceship class.
Method signatures and docstrings:
- def __init__(self, position): initializing an Spaceship object given it's position
- def draw_on(self, screen): Draw the spaceship on the screen
- def move(self): Do one frame'... | Implement the Python class `Spaceship` described below.
Class description:
Implement the Spaceship class.
Method signatures and docstrings:
- def __init__(self, position): initializing an Spaceship object given it's position
- def draw_on(self, screen): Draw the spaceship on the screen
- def move(self): Do one frame'... | 4e801ecd4834e4d3b8484e6cf33cf0e1a9197490 | <|skeleton|>
class Spaceship:
def __init__(self, position):
"""initializing an Spaceship object given it's position"""
<|body_0|>
def draw_on(self, screen):
"""Draw the spaceship on the screen"""
<|body_1|>
def move(self):
"""Do one frame's worth of updating for th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Spaceship:
def __init__(self, position):
"""initializing an Spaceship object given it's position"""
super(Spaceship, self).__init__(position, load_image_convert_alpha('spaceship-off.png'))
self.image_on = load_image_convert_alpha('spaceship-on.png')
self.direction = [0, -1]
... | the_stack_v2_python_sparse | pygame-wasm/org.pygame.asteroids.py | pmp-p/pmp-p.github.io | train | 5 | |
219fe56326a795e8d12c015ec5f57b499df51462 | [
"note = self.get_object()\nif not note.is_public and note.user != self.request.user:\n return redirect('notes')\nself.object = note\nreturn super().dispatch(request, *args, **kwargs)",
"initial = super().get_initial()\nnote = self.get_object()\ninitial['title'] = note.title\ninitial['content'] = note.content\n... | <|body_start_0|>
note = self.get_object()
if not note.is_public and note.user != self.request.user:
return redirect('notes')
self.object = note
return super().dispatch(request, *args, **kwargs)
<|end_body_0|>
<|body_start_1|>
initial = super().get_initial()
n... | View for User to make a clone of another Note. The Note's num_clones is incremented upon a sucessful clone. | CloneNoteView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloneNoteView:
"""View for User to make a clone of another Note. The Note's num_clones is incremented upon a sucessful clone."""
def dispatch(self, request, *args, **kwargs):
"""Can only clone Note if it is public or the requesting User is the creator of the Note."""
<|body_0... | stack_v2_sparse_classes_75kplus_train_072159 | 4,866 | no_license | [
{
"docstring": "Can only clone Note if it is public or the requesting User is the creator of the Note.",
"name": "dispatch",
"signature": "def dispatch(self, request, *args, **kwargs)"
},
{
"docstring": "Add the cloned Note's data to the form.",
"name": "get_initial",
"signature": "def g... | 3 | stack_v2_sparse_classes_30k_train_038506 | Implement the Python class `CloneNoteView` described below.
Class description:
View for User to make a clone of another Note. The Note's num_clones is incremented upon a sucessful clone.
Method signatures and docstrings:
- def dispatch(self, request, *args, **kwargs): Can only clone Note if it is public or the reques... | Implement the Python class `CloneNoteView` described below.
Class description:
View for User to make a clone of another Note. The Note's num_clones is incremented upon a sucessful clone.
Method signatures and docstrings:
- def dispatch(self, request, *args, **kwargs): Can only clone Note if it is public or the reques... | 8476643e12548ac797c6e18e23b9654c43cebe77 | <|skeleton|>
class CloneNoteView:
"""View for User to make a clone of another Note. The Note's num_clones is incremented upon a sucessful clone."""
def dispatch(self, request, *args, **kwargs):
"""Can only clone Note if it is public or the requesting User is the creator of the Note."""
<|body_0... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CloneNoteView:
"""View for User to make a clone of another Note. The Note's num_clones is incremented upon a sucessful clone."""
def dispatch(self, request, *args, **kwargs):
"""Can only clone Note if it is public or the requesting User is the creator of the Note."""
note = self.get_objec... | the_stack_v2_python_sparse | notes/views.py | gurupratap-matharu/code-atlas | train | 0 |
d0b4772cdef01cfcdad35917e8a5f1edded17bb3 | [
"def linearize(domains):\n trans_domains = domains\n for domain in domains:\n implied_domains = domain.implied_ids - domain\n if implied_domains:\n trans_domains |= linearize(implied_domains)\n return trans_domains\nfor domain in self:\n domain.trans_implied_ids = linearize(doma... | <|body_start_0|>
def linearize(domains):
trans_domains = domains
for domain in domains:
implied_domains = domain.implied_ids - domain
if implied_domains:
trans_domains |= linearize(implied_domains)
return trans_domains
... | ProductConfigDomain | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductConfigDomain:
def _get_trans_implied(self):
"""Computes the transitive closure of relation implied_ids"""
<|body_0|>
def compute_domain(self):
"""Returns a list of domains defined on a product.config.domain_line_ids and all implied_ids"""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus_train_072160 | 41,575 | no_license | [
{
"docstring": "Computes the transitive closure of relation implied_ids",
"name": "_get_trans_implied",
"signature": "def _get_trans_implied(self)"
},
{
"docstring": "Returns a list of domains defined on a product.config.domain_line_ids and all implied_ids",
"name": "compute_domain",
"si... | 2 | stack_v2_sparse_classes_30k_train_023741 | Implement the Python class `ProductConfigDomain` described below.
Class description:
Implement the ProductConfigDomain class.
Method signatures and docstrings:
- def _get_trans_implied(self): Computes the transitive closure of relation implied_ids
- def compute_domain(self): Returns a list of domains defined on a pro... | Implement the Python class `ProductConfigDomain` described below.
Class description:
Implement the ProductConfigDomain class.
Method signatures and docstrings:
- def _get_trans_implied(self): Computes the transitive closure of relation implied_ids
- def compute_domain(self): Returns a list of domains defined on a pro... | 5a235827896e6d7bff420f85228d7609715a2efb | <|skeleton|>
class ProductConfigDomain:
def _get_trans_implied(self):
"""Computes the transitive closure of relation implied_ids"""
<|body_0|>
def compute_domain(self):
"""Returns a list of domains defined on a product.config.domain_line_ids and all implied_ids"""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProductConfigDomain:
def _get_trans_implied(self):
"""Computes the transitive closure of relation implied_ids"""
def linearize(domains):
trans_domains = domains
for domain in domains:
implied_domains = domain.implied_ids - domain
if impli... | the_stack_v2_python_sparse | product_configurator/models/product_config.py | AULODE/somafish_2019 | train | 1 | |
e162c9181a2c111291cc299a896fd1f2761414fc | [
"if path is None:\n path = self.path(collection, prefix)\npath = Path(path)\noutput = dict()\nif collection._metadata and collection._metadata.get('processors'):\n processors = collection._metadata['processors']\n processors = [proc['name'].lower() for proc in processors]\n if 'sen2cor' in processors:\n... | <|body_start_0|>
if path is None:
path = self.path(collection, prefix)
path = Path(path)
output = dict()
if collection._metadata and collection._metadata.get('processors'):
processors = collection._metadata['processors']
processors = [proc['name'].lowe... | Define the base collection schema for Sentinel products. | SentinelCollection | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SentinelCollection:
"""Define the base collection schema for Sentinel products."""
def get_files(self, collection: Collection, path=None, prefix=None):
"""List all files in the collection."""
<|body_0|>
def compressed_file(self, collection, prefix=None):
"""Retri... | stack_v2_sparse_classes_75kplus_train_072161 | 4,383 | permissive | [
{
"docstring": "List all files in the collection.",
"name": "get_files",
"signature": "def get_files(self, collection: Collection, path=None, prefix=None)"
},
{
"docstring": "Retrieve path to the compressed scene (.zip) on local storage.",
"name": "compressed_file",
"signature": "def com... | 4 | null | Implement the Python class `SentinelCollection` described below.
Class description:
Define the base collection schema for Sentinel products.
Method signatures and docstrings:
- def get_files(self, collection: Collection, path=None, prefix=None): List all files in the collection.
- def compressed_file(self, collection... | Implement the Python class `SentinelCollection` described below.
Class description:
Define the base collection schema for Sentinel products.
Method signatures and docstrings:
- def get_files(self, collection: Collection, path=None, prefix=None): List all files in the collection.
- def compressed_file(self, collection... | c6c98176ffb76286d219919176868ea5e6afedec | <|skeleton|>
class SentinelCollection:
"""Define the base collection schema for Sentinel products."""
def get_files(self, collection: Collection, path=None, prefix=None):
"""List all files in the collection."""
<|body_0|>
def compressed_file(self, collection, prefix=None):
"""Retri... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SentinelCollection:
"""Define the base collection schema for Sentinel products."""
def get_files(self, collection: Collection, path=None, prefix=None):
"""List all files in the collection."""
if path is None:
path = self.path(collection, prefix)
path = Path(path)
... | the_stack_v2_python_sparse | bdc_collectors/scihub/base.py | RichardScottOZ/bdc-collectors | train | 0 |
474461d7921f80bbae5fe8e0e143322cf12c9e56 | [
"sale_detail = SaleDetail.objects.filter(sale=obj.id)\nserializer = PaymentSaleDetailSerializer(sale_detail, many=True)\nreturn serializer.data",
"fee = get_next_fee_to_pay(obj.id)\nif fee:\n serializer = FeeSerializer(fee)\n return serializer.data\nelse:\n return None",
"if type(obj) is dict:\n ret... | <|body_start_0|>
sale_detail = SaleDetail.objects.filter(sale=obj.id)
serializer = PaymentSaleDetailSerializer(sale_detail, many=True)
return serializer.data
<|end_body_0|>
<|body_start_1|>
fee = get_next_fee_to_pay(obj.id)
if fee:
serializer = FeeSerializer(fee)
... | Serializer del pago. | SaleContactoDetailSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SaleContactoDetailSerializer:
"""Serializer del pago."""
def get_products(self, obj):
"""Devuelve sale detail."""
<|body_0|>
def get_fee(self, obj):
"""Devuelve sale detail."""
<|body_1|>
def get_created_at(self, obj):
"""Devuelve created_at.... | stack_v2_sparse_classes_75kplus_train_072162 | 24,233 | no_license | [
{
"docstring": "Devuelve sale detail.",
"name": "get_products",
"signature": "def get_products(self, obj)"
},
{
"docstring": "Devuelve sale detail.",
"name": "get_fee",
"signature": "def get_fee(self, obj)"
},
{
"docstring": "Devuelve created_at.",
"name": "get_created_at",
... | 3 | stack_v2_sparse_classes_30k_train_039347 | Implement the Python class `SaleContactoDetailSerializer` described below.
Class description:
Serializer del pago.
Method signatures and docstrings:
- def get_products(self, obj): Devuelve sale detail.
- def get_fee(self, obj): Devuelve sale detail.
- def get_created_at(self, obj): Devuelve created_at. | Implement the Python class `SaleContactoDetailSerializer` described below.
Class description:
Serializer del pago.
Method signatures and docstrings:
- def get_products(self, obj): Devuelve sale detail.
- def get_fee(self, obj): Devuelve sale detail.
- def get_created_at(self, obj): Devuelve created_at.
<|skeleton|>
... | 3135a4142c38f367a152e1fc79fee8af8fca4bcc | <|skeleton|>
class SaleContactoDetailSerializer:
"""Serializer del pago."""
def get_products(self, obj):
"""Devuelve sale detail."""
<|body_0|>
def get_fee(self, obj):
"""Devuelve sale detail."""
<|body_1|>
def get_created_at(self, obj):
"""Devuelve created_at.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SaleContactoDetailSerializer:
"""Serializer del pago."""
def get_products(self, obj):
"""Devuelve sale detail."""
sale_detail = SaleDetail.objects.filter(sale=obj.id)
serializer = PaymentSaleDetailSerializer(sale_detail, many=True)
return serializer.data
def get_fee(s... | the_stack_v2_python_sparse | api/serializers/payment.py | darwinv/api-chat-lnk | train | 0 |
833fb7d5b92c784ba2526bb95a2cfb32a6cede42 | [
"self.__base_url = self.BASE_URL.format(tenant_domain, environment, company_id)\nself.__user_name = user_name\nself.__web_api_key = web_api_key\nself.vendors = Vendors()\nself.accounts = Accounts()\nself.purchase_invoices = PurchaseInvoices()\nself.purchase_invoice_line_items = PurchaseInvoiceLineItems()\nself.atta... | <|body_start_0|>
self.__base_url = self.BASE_URL.format(tenant_domain, environment, company_id)
self.__user_name = user_name
self.__web_api_key = web_api_key
self.vendors = Vendors()
self.accounts = Accounts()
self.purchase_invoices = PurchaseInvoices()
self.purch... | The main class which creates a connection with Dynamics APIs. | Dynamics | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dynamics:
"""The main class which creates a connection with Dynamics APIs."""
def __init__(self, user_name: str, web_api_key: str, tenant_domain: str, environment: str, company_id: str):
"""Constructor to initialize the SDK :param user_name: Dynamics Username :param web_api_key: Dyna... | stack_v2_sparse_classes_75kplus_train_072163 | 2,408 | no_license | [
{
"docstring": "Constructor to initialize the SDK :param user_name: Dynamics Username :param web_api_key: Dynamics Web API key :param tenant_domain: Dynamics Tenant Domain :param: environment: sandbox / production :param company_id: Dynamics Company Id",
"name": "__init__",
"signature": "def __init__(se... | 4 | null | Implement the Python class `Dynamics` described below.
Class description:
The main class which creates a connection with Dynamics APIs.
Method signatures and docstrings:
- def __init__(self, user_name: str, web_api_key: str, tenant_domain: str, environment: str, company_id: str): Constructor to initialize the SDK :pa... | Implement the Python class `Dynamics` described below.
Class description:
The main class which creates a connection with Dynamics APIs.
Method signatures and docstrings:
- def __init__(self, user_name: str, web_api_key: str, tenant_domain: str, environment: str, company_id: str): Constructor to initialize the SDK :pa... | fcdb44b9bb4ebc3c60782c1150d4186c88bda0eb | <|skeleton|>
class Dynamics:
"""The main class which creates a connection with Dynamics APIs."""
def __init__(self, user_name: str, web_api_key: str, tenant_domain: str, environment: str, company_id: str):
"""Constructor to initialize the SDK :param user_name: Dynamics Username :param web_api_key: Dyna... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dynamics:
"""The main class which creates a connection with Dynamics APIs."""
def __init__(self, user_name: str, web_api_key: str, tenant_domain: str, environment: str, company_id: str):
"""Constructor to initialize the SDK :param user_name: Dynamics Username :param web_api_key: Dynamics Web API ... | the_stack_v2_python_sparse | venv/Lib/site-packages/dynamics/dynamics.py | pimshare/Sandbox | train | 0 |
d3d98051af880684c54e6026c54a89101bda6041 | [
"all_fields = (fields.EmailField(max_length=75), fields.EmailField(max_length=75, label=_('Verfiy Email Address')))\nlabel = kwargs.pop('label', '') + ' (Enter twice to verify)'\nlabel = _(label)\nsuper(EmailVerificationField, self).__init__(all_fields, *args, widget=EmailVerificationWidget(attrs={'class': 'form-co... | <|body_start_0|>
all_fields = (fields.EmailField(max_length=75), fields.EmailField(max_length=75, label=_('Verfiy Email Address')))
label = kwargs.pop('label', '') + ' (Enter twice to verify)'
label = _(label)
super(EmailVerificationField, self).__init__(all_fields, *args, widget=EmailVe... | EmailVerificationField2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailVerificationField2:
def __init__(self, attrs=None, *args, **kwargs):
"""Have to pass a list of field types to the constructor, else we won't get any data to our compress method."""
<|body_0|>
def compress(self, data_list):
"""Takes the values from the MultiWidge... | stack_v2_sparse_classes_75kplus_train_072164 | 7,116 | no_license | [
{
"docstring": "Have to pass a list of field types to the constructor, else we won't get any data to our compress method.",
"name": "__init__",
"signature": "def __init__(self, attrs=None, *args, **kwargs)"
},
{
"docstring": "Takes the values from the MultiWidget and passes them as a list to thi... | 2 | stack_v2_sparse_classes_30k_train_046988 | Implement the Python class `EmailVerificationField2` described below.
Class description:
Implement the EmailVerificationField2 class.
Method signatures and docstrings:
- def __init__(self, attrs=None, *args, **kwargs): Have to pass a list of field types to the constructor, else we won't get any data to our compress m... | Implement the Python class `EmailVerificationField2` described below.
Class description:
Implement the EmailVerificationField2 class.
Method signatures and docstrings:
- def __init__(self, attrs=None, *args, **kwargs): Have to pass a list of field types to the constructor, else we won't get any data to our compress m... | f2ac4ecc076b223c262f2cde4fa3b35b4a5cd54e | <|skeleton|>
class EmailVerificationField2:
def __init__(self, attrs=None, *args, **kwargs):
"""Have to pass a list of field types to the constructor, else we won't get any data to our compress method."""
<|body_0|>
def compress(self, data_list):
"""Takes the values from the MultiWidge... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailVerificationField2:
def __init__(self, attrs=None, *args, **kwargs):
"""Have to pass a list of field types to the constructor, else we won't get any data to our compress method."""
all_fields = (fields.EmailField(max_length=75), fields.EmailField(max_length=75, label=_('Verfiy Email Addre... | the_stack_v2_python_sparse | tendenci/apps/base/fields.py | chendong0444/ams | train | 0 | |
3e3f73c67dd3a0378837400162f78d5dab046cd8 | [
"self._schema_name = schema_name\nself._provider = provider.removesuffix('-local')\nself._provider_uuid = provider_uuid\nself._date_accessor = DateAccessor()\nself._tracing_id = tracing_id",
"sql_file = f'sql/reporting_{self._provider.lower()}_hcs_daily_summary.sql'\nwith HCSReportDBAccessor(self._schema_name) as... | <|body_start_0|>
self._schema_name = schema_name
self._provider = provider.removesuffix('-local')
self._provider_uuid = provider_uuid
self._date_accessor = DateAccessor()
self._tracing_id = tracing_id
<|end_body_0|>
<|body_start_1|>
sql_file = f'sql/reporting_{self._prov... | Class to write HCS daily report summary data. | ReportHCS | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReportHCS:
"""Class to write HCS daily report summary data."""
def __init__(self, schema_name, provider, provider_uuid, tracing_id):
"""Establish parquet summary processor."""
<|body_0|>
def generate_report(self, start_date, end_date, finalize=False):
"""Generate... | stack_v2_sparse_classes_75kplus_train_072165 | 1,852 | permissive | [
{
"docstring": "Establish parquet summary processor.",
"name": "__init__",
"signature": "def __init__(self, schema_name, provider, provider_uuid, tracing_id)"
},
{
"docstring": "Generate HCS daily report :param start_date (str) The date to start populating the table :param end_date (str) The dat... | 2 | null | Implement the Python class `ReportHCS` described below.
Class description:
Class to write HCS daily report summary data.
Method signatures and docstrings:
- def __init__(self, schema_name, provider, provider_uuid, tracing_id): Establish parquet summary processor.
- def generate_report(self, start_date, end_date, fina... | Implement the Python class `ReportHCS` described below.
Class description:
Class to write HCS daily report summary data.
Method signatures and docstrings:
- def __init__(self, schema_name, provider, provider_uuid, tracing_id): Establish parquet summary processor.
- def generate_report(self, start_date, end_date, fina... | 0416e5216eb1ec4b41c8dd4999adde218b1ab2e1 | <|skeleton|>
class ReportHCS:
"""Class to write HCS daily report summary data."""
def __init__(self, schema_name, provider, provider_uuid, tracing_id):
"""Establish parquet summary processor."""
<|body_0|>
def generate_report(self, start_date, end_date, finalize=False):
"""Generate... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReportHCS:
"""Class to write HCS daily report summary data."""
def __init__(self, schema_name, provider, provider_uuid, tracing_id):
"""Establish parquet summary processor."""
self._schema_name = schema_name
self._provider = provider.removesuffix('-local')
self._provider_u... | the_stack_v2_python_sparse | koku/hcs/daily_report.py | project-koku/koku | train | 225 |
bbdd5b58c83e55e9411b8425d21ee7c2c8c43076 | [
"super(Decoder, self).__init__()\nself.N = N\nself.dm = dm\nself.embedding = tf.keras.layers.Embedding(target_vocab, dm)\nself.positional_encoding = positional_encoding(max_seq_len, dm)\nself.blocks = [DecoderBlock(dm, h, hidden, drop_rate) for _ in range(N)]\nself.dropout = tf.keras.layers.Dropout(drop_rate)",
"... | <|body_start_0|>
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(target_vocab, dm)
self.positional_encoding = positional_encoding(max_seq_len, dm)
self.blocks = [DecoderBlock(dm, h, hidden, drop_rate) for _ in range(N)]
... | create the decoder for a transformer:r | Decoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""create the decoder for a transformer:r"""
def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1):
"""constructor"""
<|body_0|>
def call(self, x, encoder_output, training, look_ahead_mask, padding_mask):
"""initialize decoder"""... | stack_v2_sparse_classes_75kplus_train_072166 | 11,342 | no_license | [
{
"docstring": "constructor",
"name": "__init__",
"signature": "def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1)"
},
{
"docstring": "initialize decoder",
"name": "call",
"signature": "def call(self, x, encoder_output, training, look_ahead_mask, padding_mask)... | 2 | null | Implement the Python class `Decoder` described below.
Class description:
create the decoder for a transformer:r
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1): constructor
- def call(self, x, encoder_output, training, look_ahead_mask, padding_mask): ... | Implement the Python class `Decoder` described below.
Class description:
create the decoder for a transformer:r
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1): constructor
- def call(self, x, encoder_output, training, look_ahead_mask, padding_mask): ... | bda9efa60075afa834433ff1b5179db80f2487ae | <|skeleton|>
class Decoder:
"""create the decoder for a transformer:r"""
def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1):
"""constructor"""
<|body_0|>
def call(self, x, encoder_output, training, look_ahead_mask, padding_mask):
"""initialize decoder"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
"""create the decoder for a transformer:r"""
def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1):
"""constructor"""
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(target_vocab, ... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/5-transformer..py | vandeldiegoc/holbertonschool-machine_learning | train | 0 |
a4e6c40edc84e8456db7174d4b800489f8bd58d3 | [
"self.A = A\nself.D = D\nif sigma is None:\n self.sigma = [1.0] * len(A)\nelse:\n self.sigma = sigma\nself.rules = None\nself.average_process_time = None\nself.is_classify = is_classify",
"if len(params) < 1:\n raise RuntimeError('没有传入参数到BRB中')\nparams = np.array(params)\nindex = 0\nres = {'attr_weight':... | <|body_start_0|>
self.A = A
self.D = D
if sigma is None:
self.sigma = [1.0] * len(A)
else:
self.sigma = sigma
self.rules = None
self.average_process_time = None
self.is_classify = is_classify
<|end_body_0|>
<|body_start_1|>
if len(... | DBRBBase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DBRBBase:
def __init__(self, A, D, sigma=None, is_classify=False):
""":param A: 属性参考值 :param D: 评价结果等级 :param sigma: 属性权重"""
<|body_0|>
def partition_params(self, params):
"""划分参数训练后的数据 :param params: list n_sigma属性权重 + k_theta规则权重 + m_beta规则后件置信度 :return: res = {属性权... | stack_v2_sparse_classes_75kplus_train_072167 | 6,735 | no_license | [
{
"docstring": ":param A: 属性参考值 :param D: 评价结果等级 :param sigma: 属性权重",
"name": "__init__",
"signature": "def __init__(self, A, D, sigma=None, is_classify=False)"
},
{
"docstring": "划分参数训练后的数据 :param params: list n_sigma属性权重 + k_theta规则权重 + m_beta规则后件置信度 :return: res = {属性权重, 规则权重, 规则分布形式, 规则}",
... | 6 | stack_v2_sparse_classes_30k_train_029145 | Implement the Python class `DBRBBase` described below.
Class description:
Implement the DBRBBase class.
Method signatures and docstrings:
- def __init__(self, A, D, sigma=None, is_classify=False): :param A: 属性参考值 :param D: 评价结果等级 :param sigma: 属性权重
- def partition_params(self, params): 划分参数训练后的数据 :param params: list ... | Implement the Python class `DBRBBase` described below.
Class description:
Implement the DBRBBase class.
Method signatures and docstrings:
- def __init__(self, A, D, sigma=None, is_classify=False): :param A: 属性参考值 :param D: 评价结果等级 :param sigma: 属性权重
- def partition_params(self, params): 划分参数训练后的数据 :param params: list ... | 4c86d0e832aa6d734ef3df88a5affe9923cd2182 | <|skeleton|>
class DBRBBase:
def __init__(self, A, D, sigma=None, is_classify=False):
""":param A: 属性参考值 :param D: 评价结果等级 :param sigma: 属性权重"""
<|body_0|>
def partition_params(self, params):
"""划分参数训练后的数据 :param params: list n_sigma属性权重 + k_theta规则权重 + m_beta规则后件置信度 :return: res = {属性权... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DBRBBase:
def __init__(self, A, D, sigma=None, is_classify=False):
""":param A: 属性参考值 :param D: 评价结果等级 :param sigma: 属性权重"""
self.A = A
self.D = D
if sigma is None:
self.sigma = [1.0] * len(A)
else:
self.sigma = sigma
self.rules = None
... | the_stack_v2_python_sparse | 毕业论文材料/dbrb_code/DBRB_opt/dbrb.py | Fuzhou-U-ACM-Research-Group/YongyuLiu | train | 0 | |
01cda23f1541d885ff24899f2d840e19b88284b3 | [
"result = []\nfor i in range(0, len(nums) + 1):\n result += self.combinationSolo(nums, i)\nreturn result",
"nums = sorted(nums)\nif k == 0:\n return [[]]\nelif k == len(nums):\n return [nums]\nelif k == 1:\n result = []\n for i in nums:\n if [i] not in result:\n result.append([i])... | <|body_start_0|>
result = []
for i in range(0, len(nums) + 1):
result += self.combinationSolo(nums, i)
return result
<|end_body_0|>
<|body_start_1|>
nums = sorted(nums)
if k == 0:
return [[]]
elif k == len(nums):
return [nums]
... | Solution_B | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution_B:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run"""
<|body_0|>
def combinationSolo(self, nums: List[int], k: int) -> ... | stack_v2_sparse_classes_75kplus_train_072168 | 4,175 | permissive | [
{
"docstring": "With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run",
"name": "subsetsWithDup",
"signature": "def subsetsWithDup(self, nums: List[int]) -> List[List[int]]"
},
{
"docstring": "Helper for A1, refer to LC0... | 2 | stack_v2_sparse_classes_30k_train_044979 | Implement the Python class `Solution_B` described below.
Class description:
Implement the Solution_B class.
Method signatures and docstrings:
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove dupl... | Implement the Python class `Solution_B` described below.
Class description:
Implement the Solution_B class.
Method signatures and docstrings:
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove dupl... | 143422321cbc3715ca08f6c3af8f960a55887ced | <|skeleton|>
class Solution_B:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run"""
<|body_0|>
def combinationSolo(self, nums: List[int], k: int) -> ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution_B:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""With the help from the combinationSolo from Leetcode LC077 no need to use tuple, direct use list and remove duplicated on the run"""
result = []
for i in range(0, len(nums) + 1):
result += self.com... | the_stack_v2_python_sparse | LeetCode/LC090_subsets_ii.py | jxie0755/Learning_Python | train | 0 | |
7a60a9eb60fc6e2149bedc1f8e4aa229a2b906f1 | [
"self._strategy = strategy\nself._listener = listener\nself._telemetry_runtime_producer = telemetry_runtime_producer",
"for_log, for_listener = self._strategy.process_impressions(impressions)\nif len(impressions) > len(for_log):\n self._telemetry_runtime_producer.record_impression_stats(telemetry.CounterConsta... | <|body_start_0|>
self._strategy = strategy
self._listener = listener
self._telemetry_runtime_producer = telemetry_runtime_producer
<|end_body_0|>
<|body_start_1|>
for_log, for_listener = self._strategy.process_impressions(impressions)
if len(impressions) > len(for_log):
... | Impression manager. | Manager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Manager:
"""Impression manager."""
def __init__(self, strategy, telemetry_runtime_producer, listener=None):
"""Construct a manger to track and forward impressions to the queue. :param listener: Optional impressions listener that will capture all seen impressions. :type listener: spli... | stack_v2_sparse_classes_75kplus_train_072169 | 2,373 | permissive | [
{
"docstring": "Construct a manger to track and forward impressions to the queue. :param listener: Optional impressions listener that will capture all seen impressions. :type listener: splitio.client.listener.ImpressionListenerWrapper :param strategy: Impressions stragetgy instance :type strategy: (BaseStrategy... | 3 | stack_v2_sparse_classes_30k_train_024892 | Implement the Python class `Manager` described below.
Class description:
Impression manager.
Method signatures and docstrings:
- def __init__(self, strategy, telemetry_runtime_producer, listener=None): Construct a manger to track and forward impressions to the queue. :param listener: Optional impressions listener tha... | Implement the Python class `Manager` described below.
Class description:
Impression manager.
Method signatures and docstrings:
- def __init__(self, strategy, telemetry_runtime_producer, listener=None): Construct a manger to track and forward impressions to the queue. :param listener: Optional impressions listener tha... | 523d2395d39d189772b1db1c944db0cf4ca5769a | <|skeleton|>
class Manager:
"""Impression manager."""
def __init__(self, strategy, telemetry_runtime_producer, listener=None):
"""Construct a manger to track and forward impressions to the queue. :param listener: Optional impressions listener that will capture all seen impressions. :type listener: spli... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Manager:
"""Impression manager."""
def __init__(self, strategy, telemetry_runtime_producer, listener=None):
"""Construct a manger to track and forward impressions to the queue. :param listener: Optional impressions listener that will capture all seen impressions. :type listener: splitio.client.li... | the_stack_v2_python_sparse | splitio/engine/impressions/impressions.py | splitio/python-client | train | 17 |
f09941b3dde314876689b7bf602b4425f36e0c67 | [
"self.environment = environment\nself.num_objects_failed = num_objects_failed\nself.num_objects_failed_sla = num_objects_failed_sla\nself.num_objects_met_sla = num_objects_met_sla",
"if dictionary is None:\n return None\nenvironment = dictionary.get('environment')\nnum_objects_failed = dictionary.get('numObjec... | <|body_start_0|>
self.environment = environment
self.num_objects_failed = num_objects_failed
self.num_objects_failed_sla = num_objects_failed_sla
self.num_objects_met_sla = num_objects_met_sla
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
... | Implementation of the 'LastProtectionRunStatsByEnv' model. Specifies the last Protection Run stats by env. Attributes: environment (EnvironmentLastProtectionRunStatsByEnvEnum): Specifies the environment. num_objects_failed (long|int): Specifies the count of objects that failed last Protection Run. num_objects_failed_sl... | LastProtectionRunStatsByEnv | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LastProtectionRunStatsByEnv:
"""Implementation of the 'LastProtectionRunStatsByEnv' model. Specifies the last Protection Run stats by env. Attributes: environment (EnvironmentLastProtectionRunStatsByEnvEnum): Specifies the environment. num_objects_failed (long|int): Specifies the count of objects... | stack_v2_sparse_classes_75kplus_train_072170 | 2,527 | permissive | [
{
"docstring": "Constructor for the LastProtectionRunStatsByEnv class",
"name": "__init__",
"signature": "def __init__(self, environment=None, num_objects_failed=None, num_objects_failed_sla=None, num_objects_met_sla=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary A... | 2 | stack_v2_sparse_classes_30k_train_004629 | Implement the Python class `LastProtectionRunStatsByEnv` described below.
Class description:
Implementation of the 'LastProtectionRunStatsByEnv' model. Specifies the last Protection Run stats by env. Attributes: environment (EnvironmentLastProtectionRunStatsByEnvEnum): Specifies the environment. num_objects_failed (lo... | Implement the Python class `LastProtectionRunStatsByEnv` described below.
Class description:
Implementation of the 'LastProtectionRunStatsByEnv' model. Specifies the last Protection Run stats by env. Attributes: environment (EnvironmentLastProtectionRunStatsByEnvEnum): Specifies the environment. num_objects_failed (lo... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class LastProtectionRunStatsByEnv:
"""Implementation of the 'LastProtectionRunStatsByEnv' model. Specifies the last Protection Run stats by env. Attributes: environment (EnvironmentLastProtectionRunStatsByEnvEnum): Specifies the environment. num_objects_failed (long|int): Specifies the count of objects... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LastProtectionRunStatsByEnv:
"""Implementation of the 'LastProtectionRunStatsByEnv' model. Specifies the last Protection Run stats by env. Attributes: environment (EnvironmentLastProtectionRunStatsByEnvEnum): Specifies the environment. num_objects_failed (long|int): Specifies the count of objects that failed ... | the_stack_v2_python_sparse | cohesity_management_sdk/models/last_protection_run_stats_by_env.py | cohesity/management-sdk-python | train | 24 |
6449243f07327101a2eaa009506ec67d49b74395 | [
"try:\n user = User.objects.get(pk=data)\nexcept User.DoesNotExist:\n raise serializers.ValidationError('Invalid passenger')\ncircle = self.context['circle']\ntry:\n membership = Membership.objects.get(user=user, circle=circle, is_active=True)\nexcept Membership.DoesNotExists:\n raise serializers.Valida... | <|body_start_0|>
try:
user = User.objects.get(pk=data)
except User.DoesNotExist:
raise serializers.ValidationError('Invalid passenger')
circle = self.context['circle']
try:
membership = Membership.objects.get(user=user, circle=circle, is_active=True)
... | Join Ride Serializer. | JoinRideSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JoinRideSerializer:
"""Join Ride Serializer."""
def validate_passenger(self, data):
"""Verify passenger exists and is a circle member."""
<|body_0|>
def validate(self, data):
"""Verify rides allow new passengers."""
<|body_1|>
def update(self, instan... | stack_v2_sparse_classes_75kplus_train_072171 | 5,840 | permissive | [
{
"docstring": "Verify passenger exists and is a circle member.",
"name": "validate_passenger",
"signature": "def validate_passenger(self, data)"
},
{
"docstring": "Verify rides allow new passengers.",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": ... | 3 | stack_v2_sparse_classes_30k_train_050891 | Implement the Python class `JoinRideSerializer` described below.
Class description:
Join Ride Serializer.
Method signatures and docstrings:
- def validate_passenger(self, data): Verify passenger exists and is a circle member.
- def validate(self, data): Verify rides allow new passengers.
- def update(self, instance, ... | Implement the Python class `JoinRideSerializer` described below.
Class description:
Join Ride Serializer.
Method signatures and docstrings:
- def validate_passenger(self, data): Verify passenger exists and is a circle member.
- def validate(self, data): Verify rides allow new passengers.
- def update(self, instance, ... | 642576deaf569663d5dbc0d5820cfbc49c17fd2e | <|skeleton|>
class JoinRideSerializer:
"""Join Ride Serializer."""
def validate_passenger(self, data):
"""Verify passenger exists and is a circle member."""
<|body_0|>
def validate(self, data):
"""Verify rides allow new passengers."""
<|body_1|>
def update(self, instan... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JoinRideSerializer:
"""Join Ride Serializer."""
def validate_passenger(self, data):
"""Verify passenger exists and is a circle member."""
try:
user = User.objects.get(pk=data)
except User.DoesNotExist:
raise serializers.ValidationError('Invalid passenger')
... | the_stack_v2_python_sparse | cride/rides/serializers/rides.py | stalinch98/Advanced_Django | train | 2 |
a41bfde2151cdab717ca936a9e06d45bfdcfad59 | [
"super(SemanticDecoder, self).__init__()\nself.embed = nn.Embedding(vocab_size, p.embed_size)\nself.rnn = nn.GRU(input_size=p.embed_size * 2, hidden_size=p.hidden_size, num_layers=p.num_layers, batch_first=True, dropout=p.dropout)\nself.out = nn.Linear(p.hidden_size, vocab_size)\nself.feature_transformer = nn.Linea... | <|body_start_0|>
super(SemanticDecoder, self).__init__()
self.embed = nn.Embedding(vocab_size, p.embed_size)
self.rnn = nn.GRU(input_size=p.embed_size * 2, hidden_size=p.hidden_size, num_layers=p.num_layers, batch_first=True, dropout=p.dropout)
self.out = nn.Linear(p.hidden_size, vocab_s... | SemanticDecoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SemanticDecoder:
def __init__(self, p, vocab_size, max_seq_length=40):
"""Set the hyper-parameters and build the layers."""
<|body_0|>
def forward(self, context_vector, sequence_features, semantics, stories, lengths):
"""learn context vector and training story throug... | stack_v2_sparse_classes_75kplus_train_072172 | 7,885 | permissive | [
{
"docstring": "Set the hyper-parameters and build the layers.",
"name": "__init__",
"signature": "def __init__(self, p, vocab_size, max_seq_length=40)"
},
{
"docstring": "learn context vector and training story through teacher forcing. :param context_vector: images sequence context vectors (seq... | 3 | stack_v2_sparse_classes_30k_train_053031 | Implement the Python class `SemanticDecoder` described below.
Class description:
Implement the SemanticDecoder class.
Method signatures and docstrings:
- def __init__(self, p, vocab_size, max_seq_length=40): Set the hyper-parameters and build the layers.
- def forward(self, context_vector, sequence_features, semantic... | Implement the Python class `SemanticDecoder` described below.
Class description:
Implement the SemanticDecoder class.
Method signatures and docstrings:
- def __init__(self, p, vocab_size, max_seq_length=40): Set the hyper-parameters and build the layers.
- def forward(self, context_vector, sequence_features, semantic... | dce17296493b969088b6f967e963cb3b23dc5f3e | <|skeleton|>
class SemanticDecoder:
def __init__(self, p, vocab_size, max_seq_length=40):
"""Set the hyper-parameters and build the layers."""
<|body_0|>
def forward(self, context_vector, sequence_features, semantics, stories, lengths):
"""learn context vector and training story throug... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SemanticDecoder:
def __init__(self, p, vocab_size, max_seq_length=40):
"""Set the hyper-parameters and build the layers."""
super(SemanticDecoder, self).__init__()
self.embed = nn.Embedding(vocab_size, p.embed_size)
self.rnn = nn.GRU(input_size=p.embed_size * 2, hidden_size=p.h... | the_stack_v2_python_sparse | sources/models/baseline.py | aalto-cbir/visual-storytelling | train | 2 | |
d9148bc5d567bb9a9f1501cdcc694605956400e3 | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(email=self.normalize_email(email), firstname=firstname, lastname=lastname)\nuser.set_password(password)\nuser.acceptance = True\nuser.is_active = True\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(emai... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email), firstname=firstname, lastname=lastname)
user.set_password(password)
user.acceptance = True
user.is_active = True
user.save(... | UserProfileManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProfileManager:
def create_user(self, email, firstname, lastname, password=None, is_active=False):
"""Creates and saves a User with the given email, firstname, lastname and password."""
<|body_0|>
def create_superuser(self, email, firstname, lastname, password):
... | stack_v2_sparse_classes_75kplus_train_072173 | 4,275 | no_license | [
{
"docstring": "Creates and saves a User with the given email, firstname, lastname and password.",
"name": "create_user",
"signature": "def create_user(self, email, firstname, lastname, password=None, is_active=False)"
},
{
"docstring": "Creates and saves a superuser with the given email, date o... | 2 | stack_v2_sparse_classes_30k_val_000098 | Implement the Python class `UserProfileManager` described below.
Class description:
Implement the UserProfileManager class.
Method signatures and docstrings:
- def create_user(self, email, firstname, lastname, password=None, is_active=False): Creates and saves a User with the given email, firstname, lastname and pass... | Implement the Python class `UserProfileManager` described below.
Class description:
Implement the UserProfileManager class.
Method signatures and docstrings:
- def create_user(self, email, firstname, lastname, password=None, is_active=False): Creates and saves a User with the given email, firstname, lastname and pass... | ed5640b76907832a21ae0dec98f2b6ef109a9dbd | <|skeleton|>
class UserProfileManager:
def create_user(self, email, firstname, lastname, password=None, is_active=False):
"""Creates and saves a User with the given email, firstname, lastname and password."""
<|body_0|>
def create_superuser(self, email, firstname, lastname, password):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserProfileManager:
def create_user(self, email, firstname, lastname, password=None, is_active=False):
"""Creates and saves a User with the given email, firstname, lastname and password."""
if not email:
raise ValueError('Users must have an email address')
user = self.model... | the_stack_v2_python_sparse | source/tos_web/models.py | jdalzatec/legacy-tos | train | 0 | |
4b67ade6c5c960c2aa6ab0fe9d328fb12adac929 | [
"ne_id = int(frame.get_data())\nself.ne_id = ne_id\ntracelog.info('begin import NE(%d) data.' % ne_id)\nret = self.__decompress_data_file()\nif ret != 0:\n tracelog.error('decompress data file failed. NE id:%d' % self.ne_id)\n self.__change_ne_state_when_imp_failed()\n return\ntracelog.info('decompress dat... | <|body_start_0|>
ne_id = int(frame.get_data())
self.ne_id = ne_id
tracelog.info('begin import NE(%d) data.' % ne_id)
ret = self.__decompress_data_file()
if ret != 0:
tracelog.error('decompress data file failed. NE id:%d' % self.ne_id)
self.__change_ne_stat... | Class: SyncFullImpHandler Description: Ԫݵ뵽ݿhandler Base: Others: | SyncFullImpHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SyncFullImpHandler:
"""Class: SyncFullImpHandler Description: Ԫݵ뵽ݿhandler Base: Others:"""
def handle_cmd(self, frame):
"""Method: handle_cmd Description: Ϣ Parameter: frame: AppFrame Return: Others:"""
<|body_0|>
def __change_ne_state_when_imp_failed(self):
"""M... | stack_v2_sparse_classes_75kplus_train_072174 | 6,430 | no_license | [
{
"docstring": "Method: handle_cmd Description: Ϣ Parameter: frame: AppFrame Return: Others:",
"name": "handle_cmd",
"signature": "def handle_cmd(self, frame)"
},
{
"docstring": "Method: __change_ne_state_when_imp_failed Description: ԪʧܵʱԪ״̬ Parameter: Return: Others:",
"name": "__change_ne... | 6 | stack_v2_sparse_classes_30k_train_034003 | Implement the Python class `SyncFullImpHandler` described below.
Class description:
Class: SyncFullImpHandler Description: Ԫݵ뵽ݿhandler Base: Others:
Method signatures and docstrings:
- def handle_cmd(self, frame): Method: handle_cmd Description: Ϣ Parameter: frame: AppFrame Return: Others:
- def __change_ne_state_whe... | Implement the Python class `SyncFullImpHandler` described below.
Class description:
Class: SyncFullImpHandler Description: Ԫݵ뵽ݿhandler Base: Others:
Method signatures and docstrings:
- def handle_cmd(self, frame): Method: handle_cmd Description: Ϣ Parameter: frame: AppFrame Return: Others:
- def __change_ne_state_whe... | e78df71fbc5d73dd93ba9452d4b54183fe1e7e1f | <|skeleton|>
class SyncFullImpHandler:
"""Class: SyncFullImpHandler Description: Ԫݵ뵽ݿhandler Base: Others:"""
def handle_cmd(self, frame):
"""Method: handle_cmd Description: Ϣ Parameter: frame: AppFrame Return: Others:"""
<|body_0|>
def __change_ne_state_when_imp_failed(self):
"""M... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SyncFullImpHandler:
"""Class: SyncFullImpHandler Description: Ԫݵ뵽ݿhandler Base: Others:"""
def handle_cmd(self, frame):
"""Method: handle_cmd Description: Ϣ Parameter: frame: AppFrame Return: Others:"""
ne_id = int(frame.get_data())
self.ne_id = ne_id
tracelog.info('begin ... | the_stack_v2_python_sparse | weixin/code/rfid_plt/db_sync/db_sync_update_app/sync_full_imp_handler.py | allenforrest/wxbiz | train | 0 |
995b1e180890988d325dd5d11f0ab97c22349dae | [
"super().__init__(vacuum_bot, entity_descrption)\nself._event_type = event_type\nself._extract_value = extract_value",
"await super().async_added_to_hass()\n\nasync def on_event(event: T) -> None:\n value = self._extract_value(event)\n if value is not None:\n self._attr_native_value = value\n ... | <|body_start_0|>
super().__init__(vacuum_bot, entity_descrption)
self._event_type = event_type
self._extract_value = extract_value
<|end_body_0|>
<|body_start_1|>
await super().async_added_to_hass()
async def on_event(event: T) -> None:
value = self._extract_value(e... | Deebot generic sensor. | DeebotGenericSensor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeebotGenericSensor:
"""Deebot generic sensor."""
def __init__(self, vacuum_bot: VacuumBot, entity_descrption: SensorEntityDescription, event_type: type[T], extract_value: Callable[[T], StateType]):
"""Initialize the Sensor."""
<|body_0|>
async def async_added_to_hass(se... | stack_v2_sparse_classes_75kplus_train_072175 | 8,925 | permissive | [
{
"docstring": "Initialize the Sensor.",
"name": "__init__",
"signature": "def __init__(self, vacuum_bot: VacuumBot, entity_descrption: SensorEntityDescription, event_type: type[T], extract_value: Callable[[T], StateType])"
},
{
"docstring": "Set up the event listeners now that hass is ready.",
... | 2 | stack_v2_sparse_classes_30k_train_038745 | Implement the Python class `DeebotGenericSensor` described below.
Class description:
Deebot generic sensor.
Method signatures and docstrings:
- def __init__(self, vacuum_bot: VacuumBot, entity_descrption: SensorEntityDescription, event_type: type[T], extract_value: Callable[[T], StateType]): Initialize the Sensor.
- ... | Implement the Python class `DeebotGenericSensor` described below.
Class description:
Deebot generic sensor.
Method signatures and docstrings:
- def __init__(self, vacuum_bot: VacuumBot, entity_descrption: SensorEntityDescription, event_type: type[T], extract_value: Callable[[T], StateType]): Initialize the Sensor.
- ... | 9ab937028abf86a4f886cdf8b4231daa0fe6916b | <|skeleton|>
class DeebotGenericSensor:
"""Deebot generic sensor."""
def __init__(self, vacuum_bot: VacuumBot, entity_descrption: SensorEntityDescription, event_type: type[T], extract_value: Callable[[T], StateType]):
"""Initialize the Sensor."""
<|body_0|>
async def async_added_to_hass(se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeebotGenericSensor:
"""Deebot generic sensor."""
def __init__(self, vacuum_bot: VacuumBot, entity_descrption: SensorEntityDescription, event_type: type[T], extract_value: Callable[[T], StateType]):
"""Initialize the Sensor."""
super().__init__(vacuum_bot, entity_descrption)
self.... | the_stack_v2_python_sparse | data/homeassistant/custom_components/deebot/sensor.py | Sanderhuisman/home-assistant-config | train | 2 |
c07f07a6bb5a7a4268e8e0d6224f7fbe9f50a67e | [
"serializer = CounselDateSerializer(data=request.data)\nif serializer.is_valid():\n selected_client_email = request.data.get('client')\n client = User.objects.get(email=selected_client_email)\n counsel_date1 = RegisterCounselDate.objects.create(counselor=request.user, client=client)\n counsel_date_id = ... | <|body_start_0|>
serializer = CounselDateSerializer(data=request.data)
if serializer.is_valid():
selected_client_email = request.data.get('client')
client = User.objects.get(email=selected_client_email)
counsel_date1 = RegisterCounselDate.objects.create(counselor=requ... | CounselDate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CounselDate:
def post(self, request):
"""상담 등록 --- # /counsels/date/ ## headers - Authorization : Token ## body parameter - client : 내담자 이메일 [ex> capstone4824@gmail.com] - counsel_date : 상담 날짜 [ex> 2020-10-30T20:38:59Z]"""
<|body_0|>
def get(self, request):
"""등록된 상담... | stack_v2_sparse_classes_75kplus_train_072176 | 10,484 | no_license | [
{
"docstring": "상담 등록 --- # /counsels/date/ ## headers - Authorization : Token ## body parameter - client : 내담자 이메일 [ex> capstone4824@gmail.com] - counsel_date : 상담 날짜 [ex> 2020-10-30T20:38:59Z]",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "등록된 상담 조회 --- # /counsels... | 3 | null | Implement the Python class `CounselDate` described below.
Class description:
Implement the CounselDate class.
Method signatures and docstrings:
- def post(self, request): 상담 등록 --- # /counsels/date/ ## headers - Authorization : Token ## body parameter - client : 내담자 이메일 [ex> capstone4824@gmail.com] - counsel_date : 상... | Implement the Python class `CounselDate` described below.
Class description:
Implement the CounselDate class.
Method signatures and docstrings:
- def post(self, request): 상담 등록 --- # /counsels/date/ ## headers - Authorization : Token ## body parameter - client : 내담자 이메일 [ex> capstone4824@gmail.com] - counsel_date : 상... | 751f3a8d7ef139c5d6fa17bcfe59fd05fbe3818c | <|skeleton|>
class CounselDate:
def post(self, request):
"""상담 등록 --- # /counsels/date/ ## headers - Authorization : Token ## body parameter - client : 내담자 이메일 [ex> capstone4824@gmail.com] - counsel_date : 상담 날짜 [ex> 2020-10-30T20:38:59Z]"""
<|body_0|>
def get(self, request):
"""등록된 상담... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CounselDate:
def post(self, request):
"""상담 등록 --- # /counsels/date/ ## headers - Authorization : Token ## body parameter - client : 내담자 이메일 [ex> capstone4824@gmail.com] - counsel_date : 상담 날짜 [ex> 2020-10-30T20:38:59Z]"""
serializer = CounselDateSerializer(data=request.data)
if serial... | the_stack_v2_python_sparse | findme/counsel/views.py | real-kk/findme-backend | train | 4 | |
b429ee539123e79bbbf54940a4fe9da8af128628 | [
"request = pecan.request\ncontext = request.environ['context']\nrecord = self.central_api.get_record(context, zone_id, recordset_id, record_id)\nreturn self._view.show(context, request, record)",
"request = pecan.request\ncontext = request.environ['context']\nmarker, limit, sort_key, sort_dir = self._get_paging_p... | <|body_start_0|>
request = pecan.request
context = request.environ['context']
record = self.central_api.get_record(context, zone_id, recordset_id, record_id)
return self._view.show(context, request, record)
<|end_body_0|>
<|body_start_1|>
request = pecan.request
context ... | RecordsController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecordsController:
def get_one(self, zone_id, recordset_id, record_id):
"""Get Record"""
<|body_0|>
def get_all(self, zone_id, recordset_id, **params):
"""List Records"""
<|body_1|>
def post_all(self, zone_id, recordset_id):
"""Create Record"""
... | stack_v2_sparse_classes_75kplus_train_072177 | 5,837 | permissive | [
{
"docstring": "Get Record",
"name": "get_one",
"signature": "def get_one(self, zone_id, recordset_id, record_id)"
},
{
"docstring": "List Records",
"name": "get_all",
"signature": "def get_all(self, zone_id, recordset_id, **params)"
},
{
"docstring": "Create Record",
"name":... | 5 | stack_v2_sparse_classes_30k_train_003336 | Implement the Python class `RecordsController` described below.
Class description:
Implement the RecordsController class.
Method signatures and docstrings:
- def get_one(self, zone_id, recordset_id, record_id): Get Record
- def get_all(self, zone_id, recordset_id, **params): List Records
- def post_all(self, zone_id,... | Implement the Python class `RecordsController` described below.
Class description:
Implement the RecordsController class.
Method signatures and docstrings:
- def get_one(self, zone_id, recordset_id, record_id): Get Record
- def get_all(self, zone_id, recordset_id, **params): List Records
- def post_all(self, zone_id,... | 331ee1958271990ae383203e7f7970f8f41ca003 | <|skeleton|>
class RecordsController:
def get_one(self, zone_id, recordset_id, record_id):
"""Get Record"""
<|body_0|>
def get_all(self, zone_id, recordset_id, **params):
"""List Records"""
<|body_1|>
def post_all(self, zone_id, recordset_id):
"""Create Record"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RecordsController:
def get_one(self, zone_id, recordset_id, record_id):
"""Get Record"""
request = pecan.request
context = request.environ['context']
record = self.central_api.get_record(context, zone_id, recordset_id, record_id)
return self._view.show(context, request,... | the_stack_v2_python_sparse | designate/api/v2/controllers/records.py | NeCTAR-RC/designate | train | 1 | |
9ad687a235263b2dcdd782d71d47b89ff973d3a0 | [
"self.list = []\nself.sum = 0\nself.capacity = size\nself.size = 0\nself.flag = 0",
"if self.size < self.capacity:\n self.list.append(val)\n self.size += 1.0\n self.sum += val\n return self.sum / self.size\nelse:\n self.sum -= self.list[self.flag]\n self.flag += 1\n self.list.append(val)\n ... | <|body_start_0|>
self.list = []
self.sum = 0
self.capacity = size
self.size = 0
self.flag = 0
<|end_body_0|>
<|body_start_1|>
if self.size < self.capacity:
self.list.append(val)
self.size += 1.0
self.sum += val
return self.... | MovingAverage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MovingAverage:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
<|body_0|>
def next(self, val):
""":type val: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.list = []
self.sum = 0
... | stack_v2_sparse_classes_75kplus_train_072178 | 889 | no_license | [
{
"docstring": "Initialize your data structure here. :type size: int",
"name": "__init__",
"signature": "def __init__(self, size)"
},
{
"docstring": ":type val: int :rtype: float",
"name": "next",
"signature": "def next(self, val)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018340 | Implement the Python class `MovingAverage` described below.
Class description:
Implement the MovingAverage class.
Method signatures and docstrings:
- def __init__(self, size): Initialize your data structure here. :type size: int
- def next(self, val): :type val: int :rtype: float | Implement the Python class `MovingAverage` described below.
Class description:
Implement the MovingAverage class.
Method signatures and docstrings:
- def __init__(self, size): Initialize your data structure here. :type size: int
- def next(self, val): :type val: int :rtype: float
<|skeleton|>
class MovingAverage:
... | 6d361cad2821248350f1d8432fdfef86895ca281 | <|skeleton|>
class MovingAverage:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
<|body_0|>
def next(self, val):
""":type val: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MovingAverage:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
self.list = []
self.sum = 0
self.capacity = size
self.size = 0
self.flag = 0
def next(self, val):
""":type val: int :rtype: float"""
if self.... | the_stack_v2_python_sparse | Design/movingAverage.py | tr1503/LeetCode | train | 0 | |
ac193c3bfc0480464070527a580fedd758c2abed | [
"self.path = Path(path)\nif not self.path.is_absolute():\n raise ValueError(f'PdfReader initialized with relative path {path}')",
"if force_ocr:\n return self.ocr_text()\nwith open(self.path, 'rb') as file:\n try:\n pdf = pdftotext.PDF(file)\n except pdftotext.Error:\n if not (allow_ocr ... | <|body_start_0|>
self.path = Path(path)
if not self.path.is_absolute():
raise ValueError(f'PdfReader initialized with relative path {path}')
<|end_body_0|>
<|body_start_1|>
if force_ocr:
return self.ocr_text()
with open(self.path, 'rb') as file:
try:
... | PdfReader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PdfReader:
def __init__(self, path: Union[Path, str]) -> None:
"""Construct PdfReader object. :param path: Absolute path to PDF document."""
<|body_0|>
def read_text(self, *, allow_ocr: bool, force_ocr: bool=False) -> Optional[str]:
"""Return text content of PDF. :pa... | stack_v2_sparse_classes_75kplus_train_072179 | 6,213 | permissive | [
{
"docstring": "Construct PdfReader object. :param path: Absolute path to PDF document.",
"name": "__init__",
"signature": "def __init__(self, path: Union[Path, str]) -> None"
},
{
"docstring": "Return text content of PDF. :param allow_ocr: If text cant be extracted from PDF directly, since it d... | 4 | stack_v2_sparse_classes_30k_train_041888 | Implement the Python class `PdfReader` described below.
Class description:
Implement the PdfReader class.
Method signatures and docstrings:
- def __init__(self, path: Union[Path, str]) -> None: Construct PdfReader object. :param path: Absolute path to PDF document.
- def read_text(self, *, allow_ocr: bool, force_ocr:... | Implement the Python class `PdfReader` described below.
Class description:
Implement the PdfReader class.
Method signatures and docstrings:
- def __init__(self, path: Union[Path, str]) -> None: Construct PdfReader object. :param path: Absolute path to PDF document.
- def read_text(self, *, allow_ocr: bool, force_ocr:... | 5743b1d4c3fefa66fcaa4d283436d2a3f0490604 | <|skeleton|>
class PdfReader:
def __init__(self, path: Union[Path, str]) -> None:
"""Construct PdfReader object. :param path: Absolute path to PDF document."""
<|body_0|>
def read_text(self, *, allow_ocr: bool, force_ocr: bool=False) -> Optional[str]:
"""Return text content of PDF. :pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PdfReader:
def __init__(self, path: Union[Path, str]) -> None:
"""Construct PdfReader object. :param path: Absolute path to PDF document."""
self.path = Path(path)
if not self.path.is_absolute():
raise ValueError(f'PdfReader initialized with relative path {path}')
def ... | the_stack_v2_python_sparse | examiner/pdf.py | JakobGM/WikiLinks | train | 7 | |
923894e093acec0b949f90d4d0593357f880ea62 | [
"the_terms = dict()\nfor NounClass in NOUN_CLASSES:\n for item in NounClass.objects.all():\n for noun in item.get_nouns():\n assert noun not in the_terms\n the_terms[noun] = item\nfor command in COMMANDS:\n for verb in command.verbs:\n assert verb not in the_terms\n ... | <|body_start_0|>
the_terms = dict()
for NounClass in NOUN_CLASSES:
for item in NounClass.objects.all():
for noun in item.get_nouns():
assert noun not in the_terms
the_terms[noun] = item
for command in COMMANDS:
for v... | A Context contains the hot words for the current environment (project etc.) mapped to their model counterparts. | Context | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Context:
"""A Context contains the hot words for the current environment (project etc.) mapped to their model counterparts."""
def terms(self):
"""A cached dictionary of known nouns and verbs."""
<|body_0|>
def enrich_part(self, part):
"""Enriches a single part (... | stack_v2_sparse_classes_75kplus_train_072180 | 3,704 | permissive | [
{
"docstring": "A cached dictionary of known nouns and verbs.",
"name": "terms",
"signature": "def terms(self)"
},
{
"docstring": "Enriches a single part (which, well, might contain more than one actual word). :param part: A part(-of-speech) to enrich. :return: The part itself, or a model.",
... | 3 | stack_v2_sparse_classes_30k_train_052965 | Implement the Python class `Context` described below.
Class description:
A Context contains the hot words for the current environment (project etc.) mapped to their model counterparts.
Method signatures and docstrings:
- def terms(self): A cached dictionary of known nouns and verbs.
- def enrich_part(self, part): Enr... | Implement the Python class `Context` described below.
Class description:
A Context contains the hot words for the current environment (project etc.) mapped to their model counterparts.
Method signatures and docstrings:
- def terms(self): A cached dictionary of known nouns and verbs.
- def enrich_part(self, part): Enr... | ab9ce59ef6d7a8db30d38740aba44855fe5e87e7 | <|skeleton|>
class Context:
"""A Context contains the hot words for the current environment (project etc.) mapped to their model counterparts."""
def terms(self):
"""A cached dictionary of known nouns and verbs."""
<|body_0|>
def enrich_part(self, part):
"""Enriches a single part (... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Context:
"""A Context contains the hot words for the current environment (project etc.) mapped to their model counterparts."""
def terms(self):
"""A cached dictionary of known nouns and verbs."""
the_terms = dict()
for NounClass in NOUN_CLASSES:
for item in NounClass.o... | the_stack_v2_python_sparse | wurst/cli/context.py | jyrama/wurst | train | 0 |
2acdc3142cdfea3def580b1ce0bf3a77e348fdc0 | [
"if request.method in self.safe_methods:\n return True\nif request.user.is_authenticated and hasattr(request.user, 'driver_profile'):\n return True\nreturn False",
"if obj.account == request.user:\n return True\nreturn False"
] | <|body_start_0|>
if request.method in self.safe_methods:
return True
if request.user.is_authenticated and hasattr(request.user, 'driver_profile'):
return True
return False
<|end_body_0|>
<|body_start_1|>
if obj.account == request.user:
return True
... | The Permission class used by DriverProfileView. | DriverProfilePermissions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DriverProfilePermissions:
"""The Permission class used by DriverProfileView."""
def has_permission(self, request, view):
"""Checks if request is safe, if not it checks if the user is authenticated and has a valid driver profile, because that account may be other type like a regular u... | stack_v2_sparse_classes_75kplus_train_072181 | 1,905 | permissive | [
{
"docstring": "Checks if request is safe, if not it checks if the user is authenticated and has a valid driver profile, because that account may be other type like a regular user, shop or an admin.",
"name": "has_permission",
"signature": "def has_permission(self, request, view)"
},
{
"docstrin... | 2 | stack_v2_sparse_classes_30k_train_007441 | Implement the Python class `DriverProfilePermissions` described below.
Class description:
The Permission class used by DriverProfileView.
Method signatures and docstrings:
- def has_permission(self, request, view): Checks if request is safe, if not it checks if the user is authenticated and has a valid driver profile... | Implement the Python class `DriverProfilePermissions` described below.
Class description:
The Permission class used by DriverProfileView.
Method signatures and docstrings:
- def has_permission(self, request, view): Checks if request is safe, if not it checks if the user is authenticated and has a valid driver profile... | 7c361a31c5225c6ad649fcf92e323bdb10cc4c16 | <|skeleton|>
class DriverProfilePermissions:
"""The Permission class used by DriverProfileView."""
def has_permission(self, request, view):
"""Checks if request is safe, if not it checks if the user is authenticated and has a valid driver profile, because that account may be other type like a regular u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DriverProfilePermissions:
"""The Permission class used by DriverProfileView."""
def has_permission(self, request, view):
"""Checks if request is safe, if not it checks if the user is authenticated and has a valid driver profile, because that account may be other type like a regular user, shop or ... | the_stack_v2_python_sparse | drivers/permissions.py | ahmed-alllam/Koshkie-Server | train | 0 |
60eecbc9886dc6e7e022d5c87830e49e1975c31f | [
"self.quark = quark\nself.nucleon = nucleon\nself.ip = input_dict",
"if self.nucleon == 'p':\n if self.quark == 'u':\n return self.ip['mu_at_2GeV'] * self.ip['gTu']\n if self.quark == 'd':\n return self.ip['md_at_2GeV'] * self.ip['gTd']\n if self.quark == 's':\n return self.ip['ms_at... | <|body_start_0|>
self.quark = quark
self.nucleon = nucleon
self.ip = input_dict
<|end_body_0|>
<|body_start_1|>
if self.nucleon == 'p':
if self.quark == 'u':
return self.ip['mu_at_2GeV'] * self.ip['gTu']
if self.quark == 'd':
retur... | FT0 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FT0:
def __init__(self, quark, nucleon, input_dict):
"""The nuclear form factor FT0 Return the nuclear form factor FT0 Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the nucleon (proton or neutron) input_dict (optional) -- a dictio... | stack_v2_sparse_classes_75kplus_train_072182 | 18,337 | permissive | [
{
"docstring": "The nuclear form factor FT0 Return the nuclear form factor FT0 Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the nucleon (proton or neutron) input_dict (optional) -- a dictionary of hadronic input parameters (default is Num_input().input_... | 2 | stack_v2_sparse_classes_30k_train_031496 | Implement the Python class `FT0` described below.
Class description:
Implement the FT0 class.
Method signatures and docstrings:
- def __init__(self, quark, nucleon, input_dict): The nuclear form factor FT0 Return the nuclear form factor FT0 Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, stra... | Implement the Python class `FT0` described below.
Class description:
Implement the FT0 class.
Method signatures and docstrings:
- def __init__(self, quark, nucleon, input_dict): The nuclear form factor FT0 Return the nuclear form factor FT0 Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, stra... | 4a714e4701f817fdc96e10e461eef7c4756ef71d | <|skeleton|>
class FT0:
def __init__(self, quark, nucleon, input_dict):
"""The nuclear form factor FT0 Return the nuclear form factor FT0 Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the nucleon (proton or neutron) input_dict (optional) -- a dictio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FT0:
def __init__(self, quark, nucleon, input_dict):
"""The nuclear form factor FT0 Return the nuclear form factor FT0 Arguments --------- quark = 'u', 'd', 's' -- the quark flavor (up, down, strange) nucleon = 'p', 'n' -- the nucleon (proton or neutron) input_dict (optional) -- a dictionary of hadron... | the_stack_v2_python_sparse | directdm/num/single_nucleon_form_factors.py | DirectDM/directdm-py | train | 6 | |
1cb210b1d729c9b102ff45a691c33aa432b2bf17 | [
"profile_data = validated_data.pop('profile', None)\nconsumer = Consumer.objects.create(**validated_data)\nif profile_data:\n profile = ConsumerProfile.objects.get(user=consumer)\n for attr, value in profile_data.items():\n setattr(profile, attr, value)\n profile.save()\nSchoolMember.objects.create(... | <|body_start_0|>
profile_data = validated_data.pop('profile', None)
consumer = Consumer.objects.create(**validated_data)
if profile_data:
profile = ConsumerProfile.objects.get(user=consumer)
for attr, value in profile_data.items():
setattr(profile, attr, v... | ManageConsumersSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ManageConsumersSerializer:
def create(self, validated_data):
"""create user, update profile, attach to school, invite user via email"""
<|body_0|>
def update(self, instance, validated_data):
"""update user & profile"""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_072183 | 7,280 | permissive | [
{
"docstring": "create user, update profile, attach to school, invite user via email",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "update user & profile",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | null | Implement the Python class `ManageConsumersSerializer` described below.
Class description:
Implement the ManageConsumersSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): create user, update profile, attach to school, invite user via email
- def update(self, instance, validated_da... | Implement the Python class `ManageConsumersSerializer` described below.
Class description:
Implement the ManageConsumersSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): create user, update profile, attach to school, invite user via email
- def update(self, instance, validated_da... | 46857dd79dc58f63c3afb9791ecf8adf853a6c57 | <|skeleton|>
class ManageConsumersSerializer:
def create(self, validated_data):
"""create user, update profile, attach to school, invite user via email"""
<|body_0|>
def update(self, instance, validated_data):
"""update user & profile"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ManageConsumersSerializer:
def create(self, validated_data):
"""create user, update profile, attach to school, invite user via email"""
profile_data = validated_data.pop('profile', None)
consumer = Consumer.objects.create(**validated_data)
if profile_data:
profile =... | the_stack_v2_python_sparse | server/server/users/api/serializers.py | Eyal-VR/connective | train | 1 | |
53685b4dccb641ea5d11ed199971c3222b883dc8 | [
"while True:\n container = scan_q.get()\n self.process_container(container)\n scan_q.task_done()",
"j = journal.Reader(path='/host/var/log/journal')\nj.log_level(journal.LOG_INFO)\nj.this_boot()\nj.add_match(_SYSTEMD_UNIT=u'atomic-openshift-node.service')\nj.seek_tail()\nj.get_previous()\npollobj = selec... | <|body_start_0|>
while True:
container = scan_q.get()
self.process_container(container)
scan_q.task_done()
<|end_body_0|>
<|body_start_1|>
j = journal.Reader(path='/host/var/log/journal')
j.log_level(journal.LOG_INFO)
j.this_boot()
j.add_match... | Class to receive and report scan results. | PlegEventListener | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlegEventListener:
"""Class to receive and report scan results."""
def scan_worker(self, scan_q):
"""Worker thread function."""
<|body_0|>
def catch_creates(scan_q):
"""Watch the host node journal for creates."""
<|body_1|>
def process_container(cont... | stack_v2_sparse_classes_75kplus_train_072184 | 3,450 | permissive | [
{
"docstring": "Worker thread function.",
"name": "scan_worker",
"signature": "def scan_worker(self, scan_q)"
},
{
"docstring": "Watch the host node journal for creates.",
"name": "catch_creates",
"signature": "def catch_creates(scan_q)"
},
{
"docstring": "Check if provided conta... | 4 | stack_v2_sparse_classes_30k_train_019651 | Implement the Python class `PlegEventListener` described below.
Class description:
Class to receive and report scan results.
Method signatures and docstrings:
- def scan_worker(self, scan_q): Worker thread function.
- def catch_creates(scan_q): Watch the host node journal for creates.
- def process_container(containe... | Implement the Python class `PlegEventListener` described below.
Class description:
Class to receive and report scan results.
Method signatures and docstrings:
- def scan_worker(self, scan_q): Worker thread function.
- def catch_creates(scan_q): Watch the host node journal for creates.
- def process_container(containe... | e342f6659a4ef1a188ff403e2fc6b06ac6d119c7 | <|skeleton|>
class PlegEventListener:
"""Class to receive and report scan results."""
def scan_worker(self, scan_q):
"""Worker thread function."""
<|body_0|>
def catch_creates(scan_q):
"""Watch the host node journal for creates."""
<|body_1|>
def process_container(cont... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PlegEventListener:
"""Class to receive and report scan results."""
def scan_worker(self, scan_q):
"""Worker thread function."""
while True:
container = scan_q.get()
self.process_container(container)
scan_q.task_done()
def catch_creates(scan_q):
... | the_stack_v2_python_sparse | docker/oso-image-inspector/src/scripts/orchestrator | openshift/openshift-tools | train | 170 |
46b16821eb4a4cd1181339fdc65b71ee8877c021 | [
"if not root:\n return []\nres, temp, queue, flag = ([], [], [root], 1)\nwhile queue:\n for i in range(len(queue)):\n node = queue.pop(0)\n temp.append(node.val)\n if node.left:\n queue.append(node.left)\n if node.right:\n queue.append(node.right)\n res.app... | <|body_start_0|>
if not root:
return []
res, temp, queue, flag = ([], [], [root], 1)
while queue:
for i in range(len(queue)):
node = queue.pop(0)
temp.append(node.val)
if node.left:
queue.append(node.left... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def zigzagLevelOrder(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_0|>
def zigzagLevelOrder_v0(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not roo... | stack_v2_sparse_classes_75kplus_train_072185 | 2,554 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[List[int]]",
"name": "zigzagLevelOrder",
"signature": "def zigzagLevelOrder(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: List[List[int]]",
"name": "zigzagLevelOrder_v0",
"signature": "def zigzagLevelOrder_v0(self, root)"
... | 2 | stack_v2_sparse_classes_30k_train_024688 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def zigzagLevelOrder(self, root): :type root: TreeNode :rtype: List[List[int]]
- def zigzagLevelOrder_v0(self, root): :type root: TreeNode :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def zigzagLevelOrder(self, root): :type root: TreeNode :rtype: List[List[int]]
- def zigzagLevelOrder_v0(self, root): :type root: TreeNode :rtype: List[List[int]]
<|skeleton|>
c... | b5e09f24e8e96454dc99e20281e853fb9fcc85ed | <|skeleton|>
class Solution:
def zigzagLevelOrder(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_0|>
def zigzagLevelOrder_v0(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def zigzagLevelOrder(self, root):
""":type root: TreeNode :rtype: List[List[int]]"""
if not root:
return []
res, temp, queue, flag = ([], [], [root], 1)
while queue:
for i in range(len(queue)):
node = queue.pop(0)
... | the_stack_v2_python_sparse | python/103_Binary_Tree_Zigzag_Level_Order_Traversal.py | Moby5/myleetcode | train | 2 | |
e37c7a2b403a5ea08a4c4dca7671bbb891921288 | [
"super(Encoder, self).__init__()\nself.attention = Attention(hidden_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio)\nself.latent = LatentModule(hidden_size, interm_size)\nself.output = Output(interm_size, hidden_size, hidden_dropout_ratio)",
"attention_temp = self.attention(hidden_states... | <|body_start_0|>
super(Encoder, self).__init__()
self.attention = Attention(hidden_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio)
self.latent = LatentModule(hidden_size, interm_size)
self.output = Output(interm_size, hidden_size, hidden_dropout_ratio)
<|end_bod... | Encoder | Encoder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""Encoder"""
def __init__(self, hidden_size, interm_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio):
"""Initialization"""
<|body_0|>
def forward(self, hidden_states, attention_mask):
"""Encoder block"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_072186 | 12,741 | permissive | [
{
"docstring": "Initialization",
"name": "__init__",
"signature": "def __init__(self, hidden_size, interm_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio)"
},
{
"docstring": "Encoder block",
"name": "forward",
"signature": "def forward(self, hidden_states, attent... | 2 | stack_v2_sparse_classes_30k_train_039163 | Implement the Python class `Encoder` described below.
Class description:
Encoder
Method signatures and docstrings:
- def __init__(self, hidden_size, interm_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio): Initialization
- def forward(self, hidden_states, attention_mask): Encoder block | Implement the Python class `Encoder` described below.
Class description:
Encoder
Method signatures and docstrings:
- def __init__(self, hidden_size, interm_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio): Initialization
- def forward(self, hidden_states, attention_mask): Encoder block
<|ske... | e6ab0261eb719c21806bbadfd94001ecfe27de45 | <|skeleton|>
class Encoder:
"""Encoder"""
def __init__(self, hidden_size, interm_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio):
"""Initialization"""
<|body_0|>
def forward(self, hidden_states, attention_mask):
"""Encoder block"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Encoder:
"""Encoder"""
def __init__(self, hidden_size, interm_size, num_attention_heads, attention_dropout_ratio, hidden_dropout_ratio):
"""Initialization"""
super(Encoder, self).__init__()
self.attention = Attention(hidden_size, num_attention_heads, attention_dropout_ratio, hidde... | the_stack_v2_python_sparse | apps/drug_target_interaction/moltrans_dti/double_towers.py | PaddlePaddle/PaddleHelix | train | 771 |
adfc2b2c4eedced3b71d686ecc83badd78e4116e | [
"super(Plotter1d, self).__init__(method, axes)\nself.method = method\nself.style = style\nself.lopts = dict(linewidth=2)\nself.lopts.update(lopts)",
"super(Plotter1d, self).__call__(field)\ndims = [0] * 4\ndimnames = ('time', 'lev', 'lat', 'lon')\ndimname = self.axes[0] if self.axes[1] == 'data' else self.axes[1]... | <|body_start_0|>
super(Plotter1d, self).__init__(method, axes)
self.method = method
self.style = style
self.lopts = dict(linewidth=2)
self.lopts.update(lopts)
<|end_body_0|>
<|body_start_1|>
super(Plotter1d, self).__call__(field)
dims = [0] * 4
dimnames =... | For 1-d plots | Plotter1d | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Plotter1d:
"""For 1-d plots"""
def __init__(self, method=pl.plot, axes=None, style='-', lopts={}):
"""method - a plotting function axes - dimension environment, by default inferred from field shape style - line style lopts - keyword arguments for plotting function"""
<|body_0... | stack_v2_sparse_classes_75kplus_train_072187 | 10,557 | permissive | [
{
"docstring": "method - a plotting function axes - dimension environment, by default inferred from field shape style - line style lopts - keyword arguments for plotting function",
"name": "__init__",
"signature": "def __init__(self, method=pl.plot, axes=None, style='-', lopts={})"
},
{
"docstri... | 3 | stack_v2_sparse_classes_30k_train_034229 | Implement the Python class `Plotter1d` described below.
Class description:
For 1-d plots
Method signatures and docstrings:
- def __init__(self, method=pl.plot, axes=None, style='-', lopts={}): method - a plotting function axes - dimension environment, by default inferred from field shape style - line style lopts - ke... | Implement the Python class `Plotter1d` described below.
Class description:
For 1-d plots
Method signatures and docstrings:
- def __init__(self, method=pl.plot, axes=None, style='-', lopts={}): method - a plotting function axes - dimension environment, by default inferred from field shape style - line style lopts - ke... | 4ddb3ecd7dc52c1de8a09123e6cd43d62f896755 | <|skeleton|>
class Plotter1d:
"""For 1-d plots"""
def __init__(self, method=pl.plot, axes=None, style='-', lopts={}):
"""method - a plotting function axes - dimension environment, by default inferred from field shape style - line style lopts - keyword arguments for plotting function"""
<|body_0... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Plotter1d:
"""For 1-d plots"""
def __init__(self, method=pl.plot, axes=None, style='-', lopts={}):
"""method - a plotting function axes - dimension environment, by default inferred from field shape style - line style lopts - keyword arguments for plotting function"""
super(Plotter1d, self... | the_stack_v2_python_sparse | GEOS_Util/coupled_diagnostics/g5lib/plotters.py | geoschem/GMAO_Shared | train | 0 |
e54bb50c6c78967f3c42a85554dde95aa58826da | [
"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!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | HTTPStorageServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HTTPStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listHTTPStorage(self, request, context):
"""Storage"""
<|body_0|>
def getHTTPStorage(self, request, context):
"""Missing associated documentation comment in .proto file... | stack_v2_sparse_classes_75kplus_train_072188 | 9,754 | permissive | [
{
"docstring": "Storage",
"name": "listHTTPStorage",
"signature": "def listHTTPStorage(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "getHTTPStorage",
"signature": "def getHTTPStorage(self, request, context)"
},
{
"... | 5 | stack_v2_sparse_classes_30k_train_036291 | Implement the Python class `HTTPStorageServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def listHTTPStorage(self, request, context): Storage
- def getHTTPStorage(self, request, context): Missing associated documentation c... | Implement the Python class `HTTPStorageServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def listHTTPStorage(self, request, context): Storage
- def getHTTPStorage(self, request, context): Missing associated documentation c... | c69e14b409add099d151434b9add711e41f41b20 | <|skeleton|>
class HTTPStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listHTTPStorage(self, request, context):
"""Storage"""
<|body_0|>
def getHTTPStorage(self, request, context):
"""Missing associated documentation comment in .proto file... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HTTPStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listHTTPStorage(self, request, context):
"""Storage"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('M... | the_stack_v2_python_sparse | python-sdk/src/airavata_mft_sdk/http/HTTPStorageService_pb2_grpc.py | apache/airavata-mft | train | 23 |
133be947298895642de03f00daed94311d956a94 | [
"if not self.processed:\n self.player.status = self.new_status\n self.processed = True\n self.player.save()\n print('{} processed from {} to {}.'.format(self.player, self.get_current_status_display(), self.get_new_status_display()))",
"if self.processed:\n self.player.status = self.current_status\n... | <|body_start_0|>
if not self.processed:
self.player.status = self.new_status
self.processed = True
self.player.save()
print('{} processed from {} to {}.'.format(self.player, self.get_current_status_display(), self.get_new_status_display()))
<|end_body_0|>
<|body_... | Model for registering a squad/line-up change. | SquadChange | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SquadChange:
"""Model for registering a squad/line-up change."""
def process(self):
"""Process the change. Only takes effect if the change has not been processed. Validation of the resulting line-up is the responsibility of the caller If validation fails `self.reverse()` should be us... | stack_v2_sparse_classes_75kplus_train_072189 | 25,065 | no_license | [
{
"docstring": "Process the change. Only takes effect if the change has not been processed. Validation of the resulting line-up is the responsibility of the caller If validation fails `self.reverse()` should be used to undo the change.",
"name": "process",
"signature": "def process(self)"
},
{
"... | 2 | stack_v2_sparse_classes_30k_train_042616 | Implement the Python class `SquadChange` described below.
Class description:
Model for registering a squad/line-up change.
Method signatures and docstrings:
- def process(self): Process the change. Only takes effect if the change has not been processed. Validation of the resulting line-up is the responsibility of the... | Implement the Python class `SquadChange` described below.
Class description:
Model for registering a squad/line-up change.
Method signatures and docstrings:
- def process(self): Process the change. Only takes effect if the change has not been processed. Validation of the resulting line-up is the responsibility of the... | d6c53b4da98657eec275bb4d15e000c42e44d36c | <|skeleton|>
class SquadChange:
"""Model for registering a squad/line-up change."""
def process(self):
"""Process the change. Only takes effect if the change has not been processed. Validation of the resulting line-up is the responsibility of the caller If validation fails `self.reverse()` should be us... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SquadChange:
"""Model for registering a squad/line-up change."""
def process(self):
"""Process the change. Only takes effect if the change has not been processed. Validation of the resulting line-up is the responsibility of the caller If validation fails `self.reverse()` should be used to undo th... | the_stack_v2_python_sparse | ffooty/models.py | danj1974/ffooty | train | 0 |
bb602474d0647a3a18c239c87672bfa308f4d1ac | [
"self.consumer_id = consumer_id\nself.consumer_ssn = consumer_ssn\nself.event_name = event_name\nself.id = id\nself.status = status\nself.mtype = mtype\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nconsumer_id = dictionary.get('consumerId')\nconsumer_ssn = diction... | <|body_start_0|>
self.consumer_id = consumer_id
self.consumer_ssn = consumer_ssn
self.event_name = event_name
self.id = id
self.status = status
self.mtype = mtype
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictio... | Implementation of the 'ReportNotification' model. TODO: type model description here. Attributes: consumer_id (string): Finicity’s consumer ID. This field is optional and may not always return. consumer_ssn (string): The last four of the consumer’s social security number. This field is optional and may not always return... | ReportNotification | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReportNotification:
"""Implementation of the 'ReportNotification' model. TODO: type model description here. Attributes: consumer_id (string): Finicity’s consumer ID. This field is optional and may not always return. consumer_ssn (string): The last four of the consumer’s social security number. Th... | stack_v2_sparse_classes_75kplus_train_072190 | 3,117 | permissive | [
{
"docstring": "Constructor for the ReportNotification class",
"name": "__init__",
"signature": "def __init__(self, consumer_id=None, consumer_ssn=None, event_name=None, id=None, status=None, mtype=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a dicti... | 2 | stack_v2_sparse_classes_30k_train_036239 | Implement the Python class `ReportNotification` described below.
Class description:
Implementation of the 'ReportNotification' model. TODO: type model description here. Attributes: consumer_id (string): Finicity’s consumer ID. This field is optional and may not always return. consumer_ssn (string): The last four of th... | Implement the Python class `ReportNotification` described below.
Class description:
Implementation of the 'ReportNotification' model. TODO: type model description here. Attributes: consumer_id (string): Finicity’s consumer ID. This field is optional and may not always return. consumer_ssn (string): The last four of th... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class ReportNotification:
"""Implementation of the 'ReportNotification' model. TODO: type model description here. Attributes: consumer_id (string): Finicity’s consumer ID. This field is optional and may not always return. consumer_ssn (string): The last four of the consumer’s social security number. Th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReportNotification:
"""Implementation of the 'ReportNotification' model. TODO: type model description here. Attributes: consumer_id (string): Finicity’s consumer ID. This field is optional and may not always return. consumer_ssn (string): The last four of the consumer’s social security number. This field is o... | the_stack_v2_python_sparse | finicityapi/models/report_notification.py | monarchmoney/finicity-python | train | 0 |
28aa59c69a49f80feb0d7819bf8da704def57da3 | [
"self.actions = actions\nself.player_id = player_id\nself.goal_states = goal_states",
"play_cost = []\ndraft_cost = []\nplay_set = []\ndraft_set = []\ntry:\n for action in self.actions:\n if (action['play_card'], action['coords']) in play_set:\n continue\n play_set.append((action['play... | <|body_start_0|>
self.actions = actions
self.player_id = player_id
self.goal_states = goal_states
<|end_body_0|>
<|body_start_1|>
play_cost = []
draft_cost = []
play_set = []
draft_set = []
try:
for action in self.actions:
if (... | Class for local search algorithms | SearchProblem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SearchProblem:
"""Class for local search algorithms"""
def __init__(self, player_id, goal_states, actions):
"""game_state: the current board in list of list format goal_state: Object BoardList"""
<|body_0|>
def GreedyAlgorithm(self, heuristic='simple'):
"""Greedy... | stack_v2_sparse_classes_75kplus_train_072191 | 1,748 | no_license | [
{
"docstring": "game_state: the current board in list of list format goal_state: Object BoardList",
"name": "__init__",
"signature": "def __init__(self, player_id, goal_states, actions)"
},
{
"docstring": "Greedy heuristic search (local constraint)",
"name": "GreedyAlgorithm",
"signature... | 2 | stack_v2_sparse_classes_30k_train_044077 | Implement the Python class `SearchProblem` described below.
Class description:
Class for local search algorithms
Method signatures and docstrings:
- def __init__(self, player_id, goal_states, actions): game_state: the current board in list of list format goal_state: Object BoardList
- def GreedyAlgorithm(self, heuris... | Implement the Python class `SearchProblem` described below.
Class description:
Class for local search algorithms
Method signatures and docstrings:
- def __init__(self, player_id, goal_states, actions): game_state: the current board in list of list format goal_state: Object BoardList
- def GreedyAlgorithm(self, heuris... | 1ac842505adcf5abf37ef0cd1bbd24b8ce87984f | <|skeleton|>
class SearchProblem:
"""Class for local search algorithms"""
def __init__(self, player_id, goal_states, actions):
"""game_state: the current board in list of list format goal_state: Object BoardList"""
<|body_0|>
def GreedyAlgorithm(self, heuristic='simple'):
"""Greedy... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SearchProblem:
"""Class for local search algorithms"""
def __init__(self, player_id, goal_states, actions):
"""game_state: the current board in list of list format goal_state: Object BoardList"""
self.actions = actions
self.player_id = player_id
self.goal_states = goal_sta... | the_stack_v2_python_sparse | agents/group13/hs_utils/search_problem.py | hmooy/Sequence-COMP90054 | train | 0 |
854f3461dc624b371440b85174499ddd4c4e9ef7 | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(username=username, email=self.normalize_email(email), first_name=first_name, last_name=last_name, referral=referral)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(username=... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(username=username, email=self.normalize_email(email), first_name=first_name, last_name=last_name, referral=referral)
user.set_password(password)
user.save(using=self._db)
... | MyUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, username=None, email=None, first_name=None, last_name=None, password=None, referral=None):
"""Creates and saves a User with the given email, first name, last name and password."""
<|body_0|>
def create_superuser(self, username, email, pas... | stack_v2_sparse_classes_75kplus_train_072192 | 7,301 | no_license | [
{
"docstring": "Creates and saves a User with the given email, first name, last name and password.",
"name": "create_user",
"signature": "def create_user(self, username=None, email=None, first_name=None, last_name=None, password=None, referral=None)"
},
{
"docstring": "Creates and saves a superu... | 2 | stack_v2_sparse_classes_30k_train_008367 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, username=None, email=None, first_name=None, last_name=None, password=None, referral=None): Creates and saves a User with the given email, first na... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, username=None, email=None, first_name=None, last_name=None, password=None, referral=None): Creates and saves a User with the given email, first na... | 726e99153ad36d0aa38141822285f79feb910c06 | <|skeleton|>
class MyUserManager:
def create_user(self, username=None, email=None, first_name=None, last_name=None, password=None, referral=None):
"""Creates and saves a User with the given email, first name, last name and password."""
<|body_0|>
def create_superuser(self, username, email, pas... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyUserManager:
def create_user(self, username=None, email=None, first_name=None, last_name=None, password=None, referral=None):
"""Creates and saves a User with the given email, first name, last name and password."""
if not email:
raise ValueError('Users must have an email address'... | the_stack_v2_python_sparse | src/accounts/models.py | rcmiskin10/university-marketplace | train | 0 | |
db1928696a2ee619a07967c95d83dc7acdfe8756 | [
"assert isinstance(limits['polygon'], Polygon)\nself.limits = limits['polygon']\nself.upper_depth = limits['upper_depth']\nself.lower_depth = limits['lower_depth']\nself.source_model = sources\nself.rates = 0.0\nself.area_discretisation = area_discretisation",
"src_mesh = Mesh.from_points_list([source.location])\... | <|body_start_0|>
assert isinstance(limits['polygon'], Polygon)
self.limits = limits['polygon']
self.upper_depth = limits['upper_depth']
self.lower_depth = limits['lower_depth']
self.source_model = sources
self.rates = 0.0
self.area_discretisation = area_discretisa... | Calculates the rate of events within a polygon :param limits: Polygon as instance of :class: openquake.hazardlib.geo.polygon.Polygon :param float upper_depth: Upper seismic depth of the polygon (km) :param float lower_depth: Lower seismic depth of the polygon (km) :param list source_model: List of seismic sources :para... | RatePolygon | [
"AGPL-3.0-only",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RatePolygon:
"""Calculates the rate of events within a polygon :param limits: Polygon as instance of :class: openquake.hazardlib.geo.polygon.Polygon :param float upper_depth: Upper seismic depth of the polygon (km) :param float lower_depth: Lower seismic depth of the polygon (km) :param list sour... | stack_v2_sparse_classes_75kplus_train_072193 | 13,994 | permissive | [
{
"docstring": "Instantiate class with grid configurations :param dict limits: Configuration as dictionary containing: * polygon - OpenQuake Polygon * uppper_depth - upper seismogenic depth (km) * lower_depth - lower seismogenic depth (km)",
"name": "__init__",
"signature": "def __init__(self, limits, s... | 3 | null | Implement the Python class `RatePolygon` described below.
Class description:
Calculates the rate of events within a polygon :param limits: Polygon as instance of :class: openquake.hazardlib.geo.polygon.Polygon :param float upper_depth: Upper seismic depth of the polygon (km) :param float lower_depth: Lower seismic dep... | Implement the Python class `RatePolygon` described below.
Class description:
Calculates the rate of events within a polygon :param limits: Polygon as instance of :class: openquake.hazardlib.geo.polygon.Polygon :param float upper_depth: Upper seismic depth of the polygon (km) :param float lower_depth: Lower seismic dep... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class RatePolygon:
"""Calculates the rate of events within a polygon :param limits: Polygon as instance of :class: openquake.hazardlib.geo.polygon.Polygon :param float upper_depth: Upper seismic depth of the polygon (km) :param float lower_depth: Lower seismic depth of the polygon (km) :param list sour... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RatePolygon:
"""Calculates the rate of events within a polygon :param limits: Polygon as instance of :class: openquake.hazardlib.geo.polygon.Polygon :param float upper_depth: Upper seismic depth of the polygon (km) :param float lower_depth: Lower seismic depth of the polygon (km) :param list source_model: Lis... | the_stack_v2_python_sparse | openquake/hmtk/comparison/rate_grids.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
6a5213458c196a2b2e09cf6b58f3d8ecd91d6c33 | [
"self.degrees = degrees\nself.translate = translate\nself.scale = scale\nself.shear = shear\nself.fillcolor = fillcolor",
"center = (image.shape[1] / 2, image.shape[0] / 2)\nangle = np.random.uniform(low=self.degrees[0], high=self.degrees[1])\nscale = np.random.uniform(low=self.scale[0], high=self.scale[1])\nR = ... | <|body_start_0|>
self.degrees = degrees
self.translate = translate
self.scale = scale
self.shear = shear
self.fillcolor = fillcolor
<|end_body_0|>
<|body_start_1|>
center = (image.shape[1] / 2, image.shape[0] / 2)
angle = np.random.uniform(low=self.degrees[0], hi... | RandomAffine | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomAffine:
def __init__(self, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-2, 2), fillcolor=(127, 127, 127)):
"""随机的仿射变换. 参数 ---- degrees : 旋转角度采样范围. translate: 平移量采样范围. 该参数为图像宽度和高度的百分比. scale : 缩放系数采样范围. shear : 剪切量采样范围. fillcolor: 无定义区域填充色."""
<|body_0|... | stack_v2_sparse_classes_75kplus_train_072194 | 10,684 | permissive | [
{
"docstring": "随机的仿射变换. 参数 ---- degrees : 旋转角度采样范围. translate: 平移量采样范围. 该参数为图像宽度和高度的百分比. scale : 缩放系数采样范围. shear : 剪切量采样范围. fillcolor: 无定义区域填充色.",
"name": "__init__",
"signature": "def __init__(self, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-2, 2), fillcolor=(127, 127, 127))"
... | 2 | stack_v2_sparse_classes_30k_train_014169 | Implement the Python class `RandomAffine` described below.
Class description:
Implement the RandomAffine class.
Method signatures and docstrings:
- def __init__(self, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-2, 2), fillcolor=(127, 127, 127)): 随机的仿射变换. 参数 ---- degrees : 旋转角度采样范围. translate: 平... | Implement the Python class `RandomAffine` described below.
Class description:
Implement the RandomAffine class.
Method signatures and docstrings:
- def __init__(self, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-2, 2), fillcolor=(127, 127, 127)): 随机的仿射变换. 参数 ---- degrees : 旋转角度采样范围. translate: 平... | 599bd6de74fc3794694bf1e3baca741d2b517e0e | <|skeleton|>
class RandomAffine:
def __init__(self, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-2, 2), fillcolor=(127, 127, 127)):
"""随机的仿射变换. 参数 ---- degrees : 旋转角度采样范围. translate: 平移量采样范围. 该参数为图像宽度和高度的百分比. scale : 缩放系数采样范围. shear : 剪切量采样范围. fillcolor: 无定义区域填充色."""
<|body_0|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomAffine:
def __init__(self, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-2, 2), fillcolor=(127, 127, 127)):
"""随机的仿射变换. 参数 ---- degrees : 旋转角度采样范围. translate: 平移量采样范围. 该参数为图像宽度和高度的百分比. scale : 缩放系数采样范围. shear : 剪切量采样范围. fillcolor: 无定义区域填充色."""
self.degrees = degrees
... | the_stack_v2_python_sparse | transforms.py | CnybTseng/JDE | train | 29 | |
a75efe7a24a32985f3352c4f13126d07660fea28 | [
"start = 0\nstop = 0\nlength = len(nums)\nif length == 1:\n return sum(nums)\nlargest_sum = nums[0]\nfor i in range(0, length):\n max_sum = nums[0]\n for j in range(i, length):\n ij_sum = sum(nums[i:j + 1])\n if ij_sum > max_sum:\n stop = j\n max_sum = ij_sum\n if max... | <|body_start_0|>
start = 0
stop = 0
length = len(nums)
if length == 1:
return sum(nums)
largest_sum = nums[0]
for i in range(0, length):
max_sum = nums[0]
for j in range(i, length):
ij_sum = sum(nums[i:j + 1])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray2(self, nums):
"""计算列表中连续子数组的最大和 :param nums: list[int] :return: int"""
<|body_0|>
def maxSubArray(self, nums):
"""计算列表中连续子数组的最大和 :param nums: list[int] :return: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
start = 0
... | stack_v2_sparse_classes_75kplus_train_072195 | 1,598 | no_license | [
{
"docstring": "计算列表中连续子数组的最大和 :param nums: list[int] :return: int",
"name": "maxSubArray2",
"signature": "def maxSubArray2(self, nums)"
},
{
"docstring": "计算列表中连续子数组的最大和 :param nums: list[int] :return: int",
"name": "maxSubArray",
"signature": "def maxSubArray(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_039121 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray2(self, nums): 计算列表中连续子数组的最大和 :param nums: list[int] :return: int
- def maxSubArray(self, nums): 计算列表中连续子数组的最大和 :param nums: list[int] :return: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray2(self, nums): 计算列表中连续子数组的最大和 :param nums: list[int] :return: int
- def maxSubArray(self, nums): 计算列表中连续子数组的最大和 :param nums: list[int] :return: int
<|skeleton|>
c... | c756fe54e8e17e9ba0bfdab5fccc24ac89263d90 | <|skeleton|>
class Solution:
def maxSubArray2(self, nums):
"""计算列表中连续子数组的最大和 :param nums: list[int] :return: int"""
<|body_0|>
def maxSubArray(self, nums):
"""计算列表中连续子数组的最大和 :param nums: list[int] :return: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxSubArray2(self, nums):
"""计算列表中连续子数组的最大和 :param nums: list[int] :return: int"""
start = 0
stop = 0
length = len(nums)
if length == 1:
return sum(nums)
largest_sum = nums[0]
for i in range(0, length):
max_sum = num... | the_stack_v2_python_sparse | easy/maximum_subarray.py | EarthChen/LeetCode_Record | train | 0 | |
67b7e27747d56a06758c079e8c42866fc1f3abf3 | [
"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!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | LocalStorageServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocalStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listLocalStorage(self, request, context):
"""Storage"""
<|body_0|>
def getLocalStorage(self, request, context):
"""Missing associated documentation comment in .proto f... | stack_v2_sparse_classes_75kplus_train_072196 | 9,909 | permissive | [
{
"docstring": "Storage",
"name": "listLocalStorage",
"signature": "def listLocalStorage(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "getLocalStorage",
"signature": "def getLocalStorage(self, request, context)"
},
{
... | 5 | stack_v2_sparse_classes_30k_train_037051 | Implement the Python class `LocalStorageServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def listLocalStorage(self, request, context): Storage
- def getLocalStorage(self, request, context): Missing associated documentatio... | Implement the Python class `LocalStorageServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def listLocalStorage(self, request, context): Storage
- def getLocalStorage(self, request, context): Missing associated documentatio... | c69e14b409add099d151434b9add711e41f41b20 | <|skeleton|>
class LocalStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listLocalStorage(self, request, context):
"""Storage"""
<|body_0|>
def getLocalStorage(self, request, context):
"""Missing associated documentation comment in .proto f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LocalStorageServiceServicer:
"""Missing associated documentation comment in .proto file."""
def listLocalStorage(self, request, context):
"""Storage"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError(... | the_stack_v2_python_sparse | python-sdk/src/airavata_mft_sdk/local/LocalStorageService_pb2_grpc.py | apache/airavata-mft | train | 23 |
ee784c97399fc869d0612e28b1a3982bc5bda07f | [
"self._use_percent = use_percent\nself._classifier_name = classifier_name\nself._matrix, self._labels, correct_rate = self._getConfusionMatrix(assigned_array, truth_array)\nself._correct_rate_string = str(int(10000.0 * correct_rate) / 10000.0)",
"np.set_printoptions(suppress=True)\nheader = self._classifier_name ... | <|body_start_0|>
self._use_percent = use_percent
self._classifier_name = classifier_name
self._matrix, self._labels, correct_rate = self._getConfusionMatrix(assigned_array, truth_array)
self._correct_rate_string = str(int(10000.0 * correct_rate) / 10000.0)
<|end_body_0|>
<|body_start_1|... | Analyzes labels assigned to feature vectors by a classifier, relative to true class labels, in order to generate a matrix helpful for identifying the underlying reasons behind classification results. | ConfusionMatrix | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfusionMatrix:
"""Analyzes labels assigned to feature vectors by a classifier, relative to true class labels, in order to generate a matrix helpful for identifying the underlying reasons behind classification results."""
def __init__(self, assigned_array: np.ndarray, truth_array: np.ndarra... | stack_v2_sparse_classes_75kplus_train_072197 | 3,903 | permissive | [
{
"docstring": ":param assigned_array: Array of class labels assigned by a classifier. :param truth_array: Array of true class labels, against which ``assigned_labels`` will be evaluated. :param use_percent: If True, then the confusion matrix will be presented in terms of percentages, rather than raw occurrence... | 4 | stack_v2_sparse_classes_30k_train_049051 | Implement the Python class `ConfusionMatrix` described below.
Class description:
Analyzes labels assigned to feature vectors by a classifier, relative to true class labels, in order to generate a matrix helpful for identifying the underlying reasons behind classification results.
Method signatures and docstrings:
- d... | Implement the Python class `ConfusionMatrix` described below.
Class description:
Analyzes labels assigned to feature vectors by a classifier, relative to true class labels, in order to generate a matrix helpful for identifying the underlying reasons behind classification results.
Method signatures and docstrings:
- d... | e1fcad12b5cac2136785c2e5725f9ea1292e8560 | <|skeleton|>
class ConfusionMatrix:
"""Analyzes labels assigned to feature vectors by a classifier, relative to true class labels, in order to generate a matrix helpful for identifying the underlying reasons behind classification results."""
def __init__(self, assigned_array: np.ndarray, truth_array: np.ndarra... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfusionMatrix:
"""Analyzes labels assigned to feature vectors by a classifier, relative to true class labels, in order to generate a matrix helpful for identifying the underlying reasons behind classification results."""
def __init__(self, assigned_array: np.ndarray, truth_array: np.ndarray, use_percen... | the_stack_v2_python_sparse | confusion_matrix.py | nswachow/SCST_Python | train | 1 |
2215e290fc9bdbf13a8e9a0264c7438048d75eb8 | [
"serializer = self.change_password_serializer(data=request.data)\nif not serializer.is_valid():\n return self.json_failed_response(errors=serializer.errors)\ndata_from_request = serializer.data\nif not self.__is_user_password_change_allowed(request, **kwargs):\n return self.json_forbidden_response(errors={SIG... | <|body_start_0|>
serializer = self.change_password_serializer(data=request.data)
if not serializer.is_valid():
return self.json_failed_response(errors=serializer.errors)
data_from_request = serializer.data
if not self.__is_user_password_change_allowed(request, **kwargs):
... | View for user password change | ChangePasswordView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChangePasswordView:
"""View for user password change"""
def post(self, request: Request, *args, **kwargs) -> Response:
"""in kwargs must by signed dict with user id this id must be the same as user id in request request params: - password :return: json response http response codes: 2... | stack_v2_sparse_classes_75kplus_train_072198 | 2,556 | no_license | [
{
"docstring": "in kwargs must by signed dict with user id this id must be the same as user id in request request params: - password :return: json response http response codes: 200 - ok, password changed 400 - password validation error, view errors key for details 403 - signature failed or invalid user id keys:... | 3 | null | Implement the Python class `ChangePasswordView` described below.
Class description:
View for user password change
Method signatures and docstrings:
- def post(self, request: Request, *args, **kwargs) -> Response: in kwargs must by signed dict with user id this id must be the same as user id in request request params:... | Implement the Python class `ChangePasswordView` described below.
Class description:
View for user password change
Method signatures and docstrings:
- def post(self, request: Request, *args, **kwargs) -> Response: in kwargs must by signed dict with user id this id must be the same as user id in request request params:... | bab909324aa2e4c1c8fff72093d3fcf44aaf4963 | <|skeleton|>
class ChangePasswordView:
"""View for user password change"""
def post(self, request: Request, *args, **kwargs) -> Response:
"""in kwargs must by signed dict with user id this id must be the same as user id in request request params: - password :return: json response http response codes: 2... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChangePasswordView:
"""View for user password change"""
def post(self, request: Request, *args, **kwargs) -> Response:
"""in kwargs must by signed dict with user id this id must be the same as user id in request request params: - password :return: json response http response codes: 200 - ok, pass... | the_stack_v2_python_sparse | crm/views/change_password/change_password_view.py | vovapasko/crm | train | 0 |
881b990daf1d7e913a1d67e1001b3b861dfa706e | [
"self.num_points = num_points\nself.x_values = [0]\nself.y_values = [0]",
"while len(self.x_values) < self.num_points:\n x_direction = choice([1, -1])\n x_distance = choice([0, 1, 2, 3, 4])\n x_step = x_direction * x_distance\n y_direction = choice([1, -1])\n y_distance = choice([0, 1, 2, 3, 4])\n ... | <|body_start_0|>
self.num_points = num_points
self.x_values = [0]
self.y_values = [0]
<|end_body_0|>
<|body_start_1|>
while len(self.x_values) < self.num_points:
x_direction = choice([1, -1])
x_distance = choice([0, 1, 2, 3, 4])
x_step = x_direction *... | a class which generate random walking data | RandomWalk | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomWalk:
"""a class which generate random walking data"""
def __init__(self, num_points=20):
"""initial the attribute of random walking"""
<|body_0|>
def fill_walk(self):
"""calculate all points belong to random walking"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_072199 | 1,083 | no_license | [
{
"docstring": "initial the attribute of random walking",
"name": "__init__",
"signature": "def __init__(self, num_points=20)"
},
{
"docstring": "calculate all points belong to random walking",
"name": "fill_walk",
"signature": "def fill_walk(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000963 | Implement the Python class `RandomWalk` described below.
Class description:
a class which generate random walking data
Method signatures and docstrings:
- def __init__(self, num_points=20): initial the attribute of random walking
- def fill_walk(self): calculate all points belong to random walking | Implement the Python class `RandomWalk` described below.
Class description:
a class which generate random walking data
Method signatures and docstrings:
- def __init__(self, num_points=20): initial the attribute of random walking
- def fill_walk(self): calculate all points belong to random walking
<|skeleton|>
class... | 9134f5d3525a48811893790303b1b5eabc29fd50 | <|skeleton|>
class RandomWalk:
"""a class which generate random walking data"""
def __init__(self, num_points=20):
"""initial the attribute of random walking"""
<|body_0|>
def fill_walk(self):
"""calculate all points belong to random walking"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomWalk:
"""a class which generate random walking data"""
def __init__(self, num_points=20):
"""initial the attribute of random walking"""
self.num_points = num_points
self.x_values = [0]
self.y_values = [0]
def fill_walk(self):
"""calculate all points belo... | the_stack_v2_python_sparse | random_walk.py | douzhenjun/python_work | train | 1 |
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