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values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 160 3.93k | prompted_full_text stringlengths 681 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.09k | snapshot_name stringclasses 1
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66f57efd2fb3b880082dc65d28211ae5996bfdbf | [
"d = devicemanage(self.driver)\nd.open_devicemanage()\nself.assertEqual(d.verify(), True)\nd.delete_obj()\nself.assertEqual(d.result(), '您确定要删除这条信息吗')\nd.confirm()\nself.assertEqual(d.result(), '删除成功')\nfunction.screenshot(self.driver, 'delete_device.jpg')",
"d = devicemanage(self.driver)\nd.open_devicemanage()\n... | <|body_start_0|>
d = devicemanage(self.driver)
d.open_devicemanage()
self.assertEqual(d.verify(), True)
d.delete_obj()
self.assertEqual(d.result(), '您确定要删除这条信息吗')
d.confirm()
self.assertEqual(d.result(), '删除成功')
function.screenshot(self.driver, 'delete_dev... | Test036_Device_Delete_P1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test036_Device_Delete_P1:
def test_delete(self):
"""删除设备"""
<|body_0|>
def test_cancle(self):
"""取消删除"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
d = devicemanage(self.driver)
d.open_devicemanage()
self.assertEqual(d.verify(), Tr... | stack_v2_sparse_classes_10k_train_008200 | 1,077 | no_license | [
{
"docstring": "删除设备",
"name": "test_delete",
"signature": "def test_delete(self)"
},
{
"docstring": "取消删除",
"name": "test_cancle",
"signature": "def test_cancle(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001010 | Implement the Python class `Test036_Device_Delete_P1` described below.
Class description:
Implement the Test036_Device_Delete_P1 class.
Method signatures and docstrings:
- def test_delete(self): 删除设备
- def test_cancle(self): 取消删除 | Implement the Python class `Test036_Device_Delete_P1` described below.
Class description:
Implement the Test036_Device_Delete_P1 class.
Method signatures and docstrings:
- def test_delete(self): 删除设备
- def test_cancle(self): 取消删除
<|skeleton|>
class Test036_Device_Delete_P1:
def test_delete(self):
"""删除设... | 6f42c25249fc642cecc270578a180820988d45b5 | <|skeleton|>
class Test036_Device_Delete_P1:
def test_delete(self):
"""删除设备"""
<|body_0|>
def test_cancle(self):
"""取消删除"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Test036_Device_Delete_P1:
def test_delete(self):
"""删除设备"""
d = devicemanage(self.driver)
d.open_devicemanage()
self.assertEqual(d.verify(), True)
d.delete_obj()
self.assertEqual(d.result(), '您确定要删除这条信息吗')
d.confirm()
self.assertEqual(d.result(),... | the_stack_v2_python_sparse | GlxssLive_web/TestCase/Manage_Device/Test036_device_delete_P1.py | rrmiracle/GlxssLive | train | 0 | |
91ff456eec8fb1c6dd81c91e33e58bb700157511 | [
"FeatureDefinition.__init__(self)\nnbTypes = self._getTypeNumber(kwargs)\nprint('BETTER FEATURES')\nblock_transformer = FeatureUnion([('xywh', Pipeline([('selector', NodeTransformerXYWH_v2()), ('xywh', QuantileTransformer(n_quantiles=self.n_QUANTILES, copy=False))])), ('neighbors', Pipeline([('selector', NodeTransf... | <|body_start_0|>
FeatureDefinition.__init__(self)
nbTypes = self._getTypeNumber(kwargs)
print('BETTER FEATURES')
block_transformer = FeatureUnion([('xywh', Pipeline([('selector', NodeTransformerXYWH_v2()), ('xywh', QuantileTransformer(n_quantiles=self.n_QUANTILES, copy=False))])), ('neig... | Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!! | My_FeatureDefinition_v2 | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class My_FeatureDefinition_v2:
"""Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!"""
def __init__(self, **kwargs):
... | stack_v2_sparse_classes_10k_train_008201 | 9,141 | permissive | [
{
"docstring": "set _node_transformer, _edge_transformer, tdifNodeTextVectorizer",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Fit the transformers using the graphs, but TYPE BY TYPE !!! return True",
"name": "fitTranformers",
"signature": "def fitT... | 2 | stack_v2_sparse_classes_30k_train_000195 | Implement the Python class `My_FeatureDefinition_v2` described below.
Class description:
Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!
Meth... | Implement the Python class `My_FeatureDefinition_v2` described below.
Class description:
Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!
Meth... | 9f2fed81672dc222ca52ee4329eac3126b500d21 | <|skeleton|>
class My_FeatureDefinition_v2:
"""Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!"""
def __init__(self, **kwargs):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class My_FeatureDefinition_v2:
"""Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!"""
def __init__(self, **kwargs):
"""set _nod... | the_stack_v2_python_sparse | TranskribusDU/tasks/TablePrototypes/DU_ABPTableRG2.py | Transkribus/TranskribusDU | train | 24 |
34b54ca5614d3efaafe4dcd8703581cfa3a061bb | [
"super(Pan, self).__init__(image=Pan.pan_image, x=games.mouse.x, bottom=games.screen.height)\nself.score = games.Text(value=0, size=25, color=color.black, top=5, right=games.screen.width - 10)\ngames.screen.add(self.score)\nself.player_level = games.Text(value=Chef.level, size=25, color=color.black, top=5, right=20... | <|body_start_0|>
super(Pan, self).__init__(image=Pan.pan_image, x=games.mouse.x, bottom=games.screen.height)
self.score = games.Text(value=0, size=25, color=color.black, top=5, right=games.screen.width - 10)
games.screen.add(self.score)
self.player_level = games.Text(value=Chef.level, si... | Pan to catch pizza | Pan | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Pan:
"""Pan to catch pizza"""
def __init__(self):
"""Initialize Pan and create text counter"""
<|body_0|>
def update(self):
"""Move object to mouse position"""
<|body_1|>
def check_catch(self):
"""Check if pizza is catched"""
<|body_2... | stack_v2_sparse_classes_10k_train_008202 | 4,179 | no_license | [
{
"docstring": "Initialize Pan and create text counter",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Move object to mouse position",
"name": "update",
"signature": "def update(self)"
},
{
"docstring": "Check if pizza is catched",
"name": "check_ca... | 3 | null | Implement the Python class `Pan` described below.
Class description:
Pan to catch pizza
Method signatures and docstrings:
- def __init__(self): Initialize Pan and create text counter
- def update(self): Move object to mouse position
- def check_catch(self): Check if pizza is catched | Implement the Python class `Pan` described below.
Class description:
Pan to catch pizza
Method signatures and docstrings:
- def __init__(self): Initialize Pan and create text counter
- def update(self): Move object to mouse position
- def check_catch(self): Check if pizza is catched
<|skeleton|>
class Pan:
"""Pa... | 19343c985f368770dc01ce415506506d62a23285 | <|skeleton|>
class Pan:
"""Pan to catch pizza"""
def __init__(self):
"""Initialize Pan and create text counter"""
<|body_0|>
def update(self):
"""Move object to mouse position"""
<|body_1|>
def check_catch(self):
"""Check if pizza is catched"""
<|body_2... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Pan:
"""Pan to catch pizza"""
def __init__(self):
"""Initialize Pan and create text counter"""
super(Pan, self).__init__(image=Pan.pan_image, x=games.mouse.x, bottom=games.screen.height)
self.score = games.Text(value=0, size=25, color=color.black, top=5, right=games.screen.width -... | the_stack_v2_python_sparse | graphics/pizza_panic.py | gofr1/python-learning | train | 0 |
2b895cf4392273b689ddafc6f26c5ab11f737a5a | [
"super(CustomCrossEntropyLoss, self).__init__()\nself.use_sigmoid = use_sigmoid\nself.use_mask = use_mask\nself.reduction = reduction\nself.loss_weight = loss_weight\nif self.use_sigmoid:\n self.loss_function = binary_cross_entropy\nelif self.use_mask:\n self.loss_function = mask_cross_entropy\nelse:\n sel... | <|body_start_0|>
super(CustomCrossEntropyLoss, self).__init__()
self.use_sigmoid = use_sigmoid
self.use_mask = use_mask
self.reduction = reduction
self.loss_weight = loss_weight
if self.use_sigmoid:
self.loss_function = binary_cross_entropy
elif self.u... | Cross Entropy Loss. | CustomCrossEntropyLoss | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomCrossEntropyLoss:
"""Cross Entropy Loss."""
def __init__(self, use_sigmoid=False, use_mask=False, reduction='mean', loss_weight=1.0):
"""Init Cross Entropy loss. :param desc: config dict"""
<|body_0|>
def forward(self, cls_score, label, weight, avg_factor, reductio... | stack_v2_sparse_classes_10k_train_008203 | 13,829 | permissive | [
{
"docstring": "Init Cross Entropy loss. :param desc: config dict",
"name": "__init__",
"signature": "def __init__(self, use_sigmoid=False, use_mask=False, reduction='mean', loss_weight=1.0)"
},
{
"docstring": "Forward compute.",
"name": "forward",
"signature": "def forward(self, cls_sco... | 2 | null | Implement the Python class `CustomCrossEntropyLoss` described below.
Class description:
Cross Entropy Loss.
Method signatures and docstrings:
- def __init__(self, use_sigmoid=False, use_mask=False, reduction='mean', loss_weight=1.0): Init Cross Entropy loss. :param desc: config dict
- def forward(self, cls_score, lab... | Implement the Python class `CustomCrossEntropyLoss` described below.
Class description:
Cross Entropy Loss.
Method signatures and docstrings:
- def __init__(self, use_sigmoid=False, use_mask=False, reduction='mean', loss_weight=1.0): Init Cross Entropy loss. :param desc: config dict
- def forward(self, cls_score, lab... | df51ed9c1d6dbde1deef63f2a037a369f8554406 | <|skeleton|>
class CustomCrossEntropyLoss:
"""Cross Entropy Loss."""
def __init__(self, use_sigmoid=False, use_mask=False, reduction='mean', loss_weight=1.0):
"""Init Cross Entropy loss. :param desc: config dict"""
<|body_0|>
def forward(self, cls_score, label, weight, avg_factor, reductio... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CustomCrossEntropyLoss:
"""Cross Entropy Loss."""
def __init__(self, use_sigmoid=False, use_mask=False, reduction='mean', loss_weight=1.0):
"""Init Cross Entropy loss. :param desc: config dict"""
super(CustomCrossEntropyLoss, self).__init__()
self.use_sigmoid = use_sigmoid
... | the_stack_v2_python_sparse | built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/search_space/networks/pytorch/operator/rpn.py | Huawei-Ascend/modelzoo | train | 1 |
b69807a0d225de85c67cd4bd291d9f6454805238 | [
"uri = f'{self.bulk.endpoint}/job/{job_id}/batch'\nresponse = requests.get(uri, headers=self.bulk.headers())\nresponse.raise_for_status()\nreturn self._parse_job_state(response.content)",
"tree = lxml_parse_string(xml)\nstatuses = [el.text for el in tree.iterfind('.//{%s}state' % self.bulk.jobNS)]\nstate_messages... | <|body_start_0|>
uri = f'{self.bulk.endpoint}/job/{job_id}/batch'
response = requests.get(uri, headers=self.bulk.headers())
response.raise_for_status()
return self._parse_job_state(response.content)
<|end_body_0|>
<|body_start_1|>
tree = lxml_parse_string(xml)
statuses =... | Provides mixin utilities for classes that manage Bulk API jobs. | BulkJobMixin | [
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BulkJobMixin:
"""Provides mixin utilities for classes that manage Bulk API jobs."""
def _job_state_from_batches(self, job_id):
"""Query for batches under job_id and return overall status inferred from batch-level status values."""
<|body_0|>
def _parse_job_state(self, xm... | stack_v2_sparse_classes_10k_train_008204 | 22,114 | permissive | [
{
"docstring": "Query for batches under job_id and return overall status inferred from batch-level status values.",
"name": "_job_state_from_batches",
"signature": "def _job_state_from_batches(self, job_id)"
},
{
"docstring": "Parse the Bulk API return value and generate a summary status record ... | 3 | null | Implement the Python class `BulkJobMixin` described below.
Class description:
Provides mixin utilities for classes that manage Bulk API jobs.
Method signatures and docstrings:
- def _job_state_from_batches(self, job_id): Query for batches under job_id and return overall status inferred from batch-level status values.... | Implement the Python class `BulkJobMixin` described below.
Class description:
Provides mixin utilities for classes that manage Bulk API jobs.
Method signatures and docstrings:
- def _job_state_from_batches(self, job_id): Query for batches under job_id and return overall status inferred from batch-level status values.... | 9ccf3c9566f78c6e9102ac214db30470cef660c1 | <|skeleton|>
class BulkJobMixin:
"""Provides mixin utilities for classes that manage Bulk API jobs."""
def _job_state_from_batches(self, job_id):
"""Query for batches under job_id and return overall status inferred from batch-level status values."""
<|body_0|>
def _parse_job_state(self, xm... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BulkJobMixin:
"""Provides mixin utilities for classes that manage Bulk API jobs."""
def _job_state_from_batches(self, job_id):
"""Query for batches under job_id and return overall status inferred from batch-level status values."""
uri = f'{self.bulk.endpoint}/job/{job_id}/batch'
r... | the_stack_v2_python_sparse | cumulusci/tasks/bulkdata/step.py | SFDO-Tooling/CumulusCI | train | 226 |
cb56898ebeae70e1c76faeaf5afa14abf8fccc75 | [
"self.full_backup_script = full_backup_script\nself.incremental_backup_script = incremental_backup_script\nself.log_backup_script = log_backup_script\nself.remote_host = remote_host\nself.username = username",
"if dictionary is None:\n return None\nfull_backup_script = cohesity_management_sdk.models.remote_scr... | <|body_start_0|>
self.full_backup_script = full_backup_script
self.incremental_backup_script = incremental_backup_script
self.log_backup_script = log_backup_script
self.remote_host = remote_host
self.username = username
<|end_body_0|>
<|body_start_1|>
if dictionary is No... | Implementation of the 'RemoteJobScript' model. Provides details about the Remote Adapter associated with a 'kPuppeteer' Protection Job. Attributes: full_backup_script (RemoteScriptPathAndParams): Specifies the script that should run for the Full (no CBT) backup schedule of a Remote Adapter 'kPuppeteer' Job. This field ... | RemoteJobScript | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RemoteJobScript:
"""Implementation of the 'RemoteJobScript' model. Provides details about the Remote Adapter associated with a 'kPuppeteer' Protection Job. Attributes: full_backup_script (RemoteScriptPathAndParams): Specifies the script that should run for the Full (no CBT) backup schedule of a R... | stack_v2_sparse_classes_10k_train_008205 | 4,552 | permissive | [
{
"docstring": "Constructor for the RemoteJobScript class",
"name": "__init__",
"signature": "def __init__(self, full_backup_script=None, incremental_backup_script=None, log_backup_script=None, remote_host=None, username=None)"
},
{
"docstring": "Creates an instance of this model from a dictiona... | 2 | null | Implement the Python class `RemoteJobScript` described below.
Class description:
Implementation of the 'RemoteJobScript' model. Provides details about the Remote Adapter associated with a 'kPuppeteer' Protection Job. Attributes: full_backup_script (RemoteScriptPathAndParams): Specifies the script that should run for t... | Implement the Python class `RemoteJobScript` described below.
Class description:
Implementation of the 'RemoteJobScript' model. Provides details about the Remote Adapter associated with a 'kPuppeteer' Protection Job. Attributes: full_backup_script (RemoteScriptPathAndParams): Specifies the script that should run for t... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RemoteJobScript:
"""Implementation of the 'RemoteJobScript' model. Provides details about the Remote Adapter associated with a 'kPuppeteer' Protection Job. Attributes: full_backup_script (RemoteScriptPathAndParams): Specifies the script that should run for the Full (no CBT) backup schedule of a R... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RemoteJobScript:
"""Implementation of the 'RemoteJobScript' model. Provides details about the Remote Adapter associated with a 'kPuppeteer' Protection Job. Attributes: full_backup_script (RemoteScriptPathAndParams): Specifies the script that should run for the Full (no CBT) backup schedule of a Remote Adapter... | the_stack_v2_python_sparse | cohesity_management_sdk/models/remote_job_script.py | cohesity/management-sdk-python | train | 24 |
e075372cc751608e976f3158ff9fc191014742a3 | [
"super(TempMediaMixin, self).setup_test_environment()\nsettings._original_media_root = settings.MEDIA_ROOT\nsettings._original_file_storage = settings.DEFAULT_FILE_STORAGE\nself._temp_media = tempfile.mkdtemp()\nsettings.MEDIA_ROOT = self._temp_media\nsettings.DEFAULT_FILE_STORAGE = 'django.core.files.storage.FileS... | <|body_start_0|>
super(TempMediaMixin, self).setup_test_environment()
settings._original_media_root = settings.MEDIA_ROOT
settings._original_file_storage = settings.DEFAULT_FILE_STORAGE
self._temp_media = tempfile.mkdtemp()
settings.MEDIA_ROOT = self._temp_media
settings.... | Mixin to create MEDIA_ROOT in temp and tear down when complete. | TempMediaMixin | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TempMediaMixin:
"""Mixin to create MEDIA_ROOT in temp and tear down when complete."""
def setup_test_environment(self):
"""Create temp directory and update MEDIA_ROOT and default storage."""
<|body_0|>
def teardown_test_environment(self):
"""Delete temp storage."... | stack_v2_sparse_classes_10k_train_008206 | 1,207 | permissive | [
{
"docstring": "Create temp directory and update MEDIA_ROOT and default storage.",
"name": "setup_test_environment",
"signature": "def setup_test_environment(self)"
},
{
"docstring": "Delete temp storage.",
"name": "teardown_test_environment",
"signature": "def teardown_test_environment(... | 2 | stack_v2_sparse_classes_30k_train_001551 | Implement the Python class `TempMediaMixin` described below.
Class description:
Mixin to create MEDIA_ROOT in temp and tear down when complete.
Method signatures and docstrings:
- def setup_test_environment(self): Create temp directory and update MEDIA_ROOT and default storage.
- def teardown_test_environment(self): ... | Implement the Python class `TempMediaMixin` described below.
Class description:
Mixin to create MEDIA_ROOT in temp and tear down when complete.
Method signatures and docstrings:
- def setup_test_environment(self): Create temp directory and update MEDIA_ROOT and default storage.
- def teardown_test_environment(self): ... | bb3512caf7c2a6d14f6e0b425d9605b9831fab2d | <|skeleton|>
class TempMediaMixin:
"""Mixin to create MEDIA_ROOT in temp and tear down when complete."""
def setup_test_environment(self):
"""Create temp directory and update MEDIA_ROOT and default storage."""
<|body_0|>
def teardown_test_environment(self):
"""Delete temp storage."... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TempMediaMixin:
"""Mixin to create MEDIA_ROOT in temp and tear down when complete."""
def setup_test_environment(self):
"""Create temp directory and update MEDIA_ROOT and default storage."""
super(TempMediaMixin, self).setup_test_environment()
settings._original_media_root = setti... | the_stack_v2_python_sparse | service_info/runner.py | theirc/ServiceInfo | train | 2 |
dfec3e1e50c88a5c261ad10c3a3d86d935d092bf | [
"self.log = logging.getLogger(__name__)\nself.appinfo = {'app': app, 'email': email, 'project': project, 'repo': repo, 'provider': provider}\nself.appname = app\nself.pipeline_config = pipeline_config",
"self.appinfo['accounts'] = ['default']\nself.log.debug('Pipeline Config\\n%s', pformat(self.pipeline_config))\... | <|body_start_0|>
self.log = logging.getLogger(__name__)
self.appinfo = {'app': app, 'email': email, 'project': project, 'repo': repo, 'provider': provider}
self.appname = app
self.pipeline_config = pipeline_config
<|end_body_0|>
<|body_start_1|>
self.appinfo['accounts'] = ['defa... | Base App. | SpinnakerApp | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpinnakerApp:
"""Base App."""
def __init__(self, provider, pipeline_config=None, app=None, email=None, project=None, repo=None):
"""Class to manage and create Spinnaker applications Args: pipeline_config (dict): pipeline.json data. app (str): Application name. email (str): Email asso... | stack_v2_sparse_classes_10k_train_008207 | 3,461 | permissive | [
{
"docstring": "Class to manage and create Spinnaker applications Args: pipeline_config (dict): pipeline.json data. app (str): Application name. email (str): Email associated with application. project (str): Git namespace or project group repo (str): Repository name",
"name": "__init__",
"signature": "d... | 5 | stack_v2_sparse_classes_30k_train_004093 | Implement the Python class `SpinnakerApp` described below.
Class description:
Base App.
Method signatures and docstrings:
- def __init__(self, provider, pipeline_config=None, app=None, email=None, project=None, repo=None): Class to manage and create Spinnaker applications Args: pipeline_config (dict): pipeline.json d... | Implement the Python class `SpinnakerApp` described below.
Class description:
Base App.
Method signatures and docstrings:
- def __init__(self, provider, pipeline_config=None, app=None, email=None, project=None, repo=None): Class to manage and create Spinnaker applications Args: pipeline_config (dict): pipeline.json d... | d88001ea0e33fcd09707b81b5c4ed40e5e21fb59 | <|skeleton|>
class SpinnakerApp:
"""Base App."""
def __init__(self, provider, pipeline_config=None, app=None, email=None, project=None, repo=None):
"""Class to manage and create Spinnaker applications Args: pipeline_config (dict): pipeline.json data. app (str): Application name. email (str): Email asso... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SpinnakerApp:
"""Base App."""
def __init__(self, provider, pipeline_config=None, app=None, email=None, project=None, repo=None):
"""Class to manage and create Spinnaker applications Args: pipeline_config (dict): pipeline.json data. app (str): Application name. email (str): Email associated with a... | the_stack_v2_python_sparse | src/foremast/app/spinnaker_app.py | foremast/foremast | train | 151 |
354f16929366eb40ceaf926254be2c26b1b215f8 | [
"self.m = height\nself.n = width\nself.food = food + [[-1, -1]]\nself.foodIdx = 0\nself.bodyQueue = deque([(0, 0)])\nself.bodySet = {(0, 0)}",
"oldHead = self.bodyQueue[-1]\nnewHead = (oldHead[0] + int(direction == 'D') - int(direction == 'U'), oldHead[1] + int(direction == 'R') - int(direction == 'L'))\nif not (... | <|body_start_0|>
self.m = height
self.n = width
self.food = food + [[-1, -1]]
self.foodIdx = 0
self.bodyQueue = deque([(0, 0)])
self.bodySet = {(0, 0)}
<|end_body_0|>
<|body_start_1|>
oldHead = self.bodyQueue[-1]
newHead = (oldHead[0] + int(direction == '... | SnakeGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_10k_train_008208 | 3,174 | no_license | [
{
"docstring": "Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :type height: int :type food: List[List[int]]",
... | 2 | stack_v2_sparse_classes_30k_val_000034 | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width, height, food): Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :typ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SnakeGame:
def __init__(self, width, height, food):
"""Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at [1,1], the second is at [1,0]. :type width: int :... | the_stack_v2_python_sparse | D/DesignSnakeGame.py | bssrdf/pyleet | train | 2 | |
aa4c911080a2b16c3b1ca2ff1c583e5a7b4a32a6 | [
"nums.sort()\nn = len(nums)\nresidual = float('inf')\nfor i in range(n - 2):\n j = i + 1\n k = n - 1\n while j < k:\n if nums[i] + nums[j] + nums[k] > target:\n new_residual = abs(nums[i] + nums[j] + nums[k] - target)\n if new_residual < residual:\n residual = ne... | <|body_start_0|>
nums.sort()
n = len(nums)
residual = float('inf')
for i in range(n - 2):
j = i + 1
k = n - 1
while j < k:
if nums[i] + nums[j] + nums[k] > target:
new_residual = abs(nums[i] + nums[j] + nums[k] - tar... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def threeSumClosest(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def threeSumClosest1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_10k_train_008209 | 2,553 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "threeSumClosest",
"signature": "def threeSumClosest(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "threeSumClosest1",
"signature": "def threeSumClosest1(... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSumClosest(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def threeSumClosest1(self, nums, target): :type nums: List[int] :type target: int :... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSumClosest(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def threeSumClosest1(self, nums, target): :type nums: List[int] :type target: int :... | c55b0cfd2967a2221c27ed738e8de15034775945 | <|skeleton|>
class Solution:
def threeSumClosest(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def threeSumClosest1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def threeSumClosest(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
nums.sort()
n = len(nums)
residual = float('inf')
for i in range(n - 2):
j = i + 1
k = n - 1
while j < k:
if ... | the_stack_v2_python_sparse | PycharmProjects/leetcode/Find/16最接近的三数之和.py | crystal30/DataStructure | train | 0 | |
1a60f9b0a2e952e1e1d45df6f2b80025d74a534b | [
"if 'style' in kwargs:\n style = kwargs['style']\nelse:\n style = wx.FRAME_TOOL_WINDOW | wx.FRAME_FLOAT_ON_PARENT | wx.FRAME_NO_TASKBAR | wx.CLIP_CHILDREN\nif fwidgets.inSSHSession():\n style &= ~wx.FRAME_TOOL_WINDOW\nkwargs['style'] = style\nsuper().__init__(*args, **kwargs)",
"super().SetPaneWindow(pan... | <|body_start_0|>
if 'style' in kwargs:
style = kwargs['style']
else:
style = wx.FRAME_TOOL_WINDOW | wx.FRAME_FLOAT_ON_PARENT | wx.FRAME_NO_TASKBAR | wx.CLIP_CHILDREN
if fwidgets.inSSHSession():
style &= ~wx.FRAME_TOOL_WINDOW
kwargs['style'] = style
... | Here I am monkey patching the ``wx.agw.aui.framemanager.AuiFloatingFrame.__init__`` method. I am doing this because I have observed some strange behaviour when running a remote instance of this application over an SSH/X11 session, with the X11 server (i.e. the local machine) running in OS X. When a combobox is embedded... | MyAuiFloatingFrame | [
"Apache-2.0",
"CC-BY-3.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyAuiFloatingFrame:
"""Here I am monkey patching the ``wx.agw.aui.framemanager.AuiFloatingFrame.__init__`` method. I am doing this because I have observed some strange behaviour when running a remote instance of this application over an SSH/X11 session, with the X11 server (i.e. the local machine... | stack_v2_sparse_classes_10k_train_008210 | 3,585 | permissive | [
{
"docstring": "My new constructor, which makes sure that the ``FRAME_TOOL_WINDOW`` style is not passed through to the ``AuiFloatingFrame`` constructor",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Make sure that floated toolbars are sized correctly.... | 2 | stack_v2_sparse_classes_30k_train_000509 | Implement the Python class `MyAuiFloatingFrame` described below.
Class description:
Here I am monkey patching the ``wx.agw.aui.framemanager.AuiFloatingFrame.__init__`` method. I am doing this because I have observed some strange behaviour when running a remote instance of this application over an SSH/X11 session, with... | Implement the Python class `MyAuiFloatingFrame` described below.
Class description:
Here I am monkey patching the ``wx.agw.aui.framemanager.AuiFloatingFrame.__init__`` method. I am doing this because I have observed some strange behaviour when running a remote instance of this application over an SSH/X11 session, with... | 37b45d034d60660b6de3e4bdf5dd6349ed6d853b | <|skeleton|>
class MyAuiFloatingFrame:
"""Here I am monkey patching the ``wx.agw.aui.framemanager.AuiFloatingFrame.__init__`` method. I am doing this because I have observed some strange behaviour when running a remote instance of this application over an SSH/X11 session, with the X11 server (i.e. the local machine... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MyAuiFloatingFrame:
"""Here I am monkey patching the ``wx.agw.aui.framemanager.AuiFloatingFrame.__init__`` method. I am doing this because I have observed some strange behaviour when running a remote instance of this application over an SSH/X11 session, with the X11 server (i.e. the local machine) running in ... | the_stack_v2_python_sparse | fsleyes/patches/wx_lib_agw_aui_framemanager.py | CGSchwarzMayo/fsleyes | train | 0 |
4ee9e21fd765cb3f5386e032853356eb6d935eb8 | [
"super(QNetwork, self).__init__()\nself.state_size = state_size\nself.action_size = action_size\ninput_size = state_size\nself.layers = []\nfor layer_hidden_units in hidden_units:\n layer = nn.Linear(input_size, layer_hidden_units)\n bound = 1 / np.sqrt(input_size)\n with torch.no_grad():\n layer.we... | <|body_start_0|>
super(QNetwork, self).__init__()
self.state_size = state_size
self.action_size = action_size
input_size = state_size
self.layers = []
for layer_hidden_units in hidden_units:
layer = nn.Linear(input_size, layer_hidden_units)
bound =... | QNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QNetwork:
def __init__(self, state_size, action_size, hidden_units: List[int]):
"""Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed"""
<|body_0|>
def forward(sel... | stack_v2_sparse_classes_10k_train_008211 | 9,801 | no_license | [
{
"docstring": "Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed",
"name": "__init__",
"signature": "def __init__(self, state_size, action_size, hidden_units: List[int])"
},
{
"docst... | 2 | stack_v2_sparse_classes_30k_train_002848 | Implement the Python class `QNetwork` described below.
Class description:
Implement the QNetwork class.
Method signatures and docstrings:
- def __init__(self, state_size, action_size, hidden_units: List[int]): Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (... | Implement the Python class `QNetwork` described below.
Class description:
Implement the QNetwork class.
Method signatures and docstrings:
- def __init__(self, state_size, action_size, hidden_units: List[int]): Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (... | 125268908919661a508abc7bddc1015a92116f96 | <|skeleton|>
class QNetwork:
def __init__(self, state_size, action_size, hidden_units: List[int]):
"""Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed"""
<|body_0|>
def forward(sel... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class QNetwork:
def __init__(self, state_size, action_size, hidden_units: List[int]):
"""Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed"""
super(QNetwork, self).__init__()
self... | the_stack_v2_python_sparse | LeducPoker/NFSP/Dqn.py | mzktbyjc2016/nfsp-pytorch | train | 2 | |
b675b047dea080792425c8c74b72abaf6ba42094 | [
"dic = dict()\nm = n = head\nwhile m:\n dic[m] = Node(m.val)\n m = m.next\nwhile n:\n dic[n].next = dic.get(n.next)\n dic[n].random = dic.get(n.random)\n n = n.next\nreturn dic.get(head)",
"map_new = collections.defaultdict(lambda: Node(0, None, None))\nmap_new[None] = None\nnd_old = head\nwhile nd... | <|body_start_0|>
dic = dict()
m = n = head
while m:
dic[m] = Node(m.val)
m = m.next
while n:
dic[n].next = dic.get(n.next)
dic[n].random = dic.get(n.random)
n = n.next
return dic.get(head)
<|end_body_0|>
<|body_start_1|... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def copyRandomList(self, head: 'Node') -> 'Node':
"""O(2n)"""
<|body_0|>
def copyRandomList(self, head: 'Node') -> 'Node':
"""dict with old Nodes as keys and new Nodes as values. Doing so allows us to create node's next and random as we iterate through the ... | stack_v2_sparse_classes_10k_train_008212 | 1,508 | no_license | [
{
"docstring": "O(2n)",
"name": "copyRandomList",
"signature": "def copyRandomList(self, head: 'Node') -> 'Node'"
},
{
"docstring": "dict with old Nodes as keys and new Nodes as values. Doing so allows us to create node's next and random as we iterate through the list from head to tail. Otherwis... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def copyRandomList(self, head: 'Node') -> 'Node': O(2n)
- def copyRandomList(self, head: 'Node') -> 'Node': dict with old Nodes as keys and new Nodes as values. Doing so allows u... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def copyRandomList(self, head: 'Node') -> 'Node': O(2n)
- def copyRandomList(self, head: 'Node') -> 'Node': dict with old Nodes as keys and new Nodes as values. Doing so allows u... | e50dc0642f087f37ab3234390be3d8a0ed48fe62 | <|skeleton|>
class Solution:
def copyRandomList(self, head: 'Node') -> 'Node':
"""O(2n)"""
<|body_0|>
def copyRandomList(self, head: 'Node') -> 'Node':
"""dict with old Nodes as keys and new Nodes as values. Doing so allows us to create node's next and random as we iterate through the ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def copyRandomList(self, head: 'Node') -> 'Node':
"""O(2n)"""
dic = dict()
m = n = head
while m:
dic[m] = Node(m.val)
m = m.next
while n:
dic[n].next = dic.get(n.next)
dic[n].random = dic.get(n.random)
... | the_stack_v2_python_sparse | Leetcode/138. Copy List with Random Pointer.py | brlala/Educative-Grokking-Coding-Exercise | train | 3 | |
4f8f8882dff8b6615d3b58435b94f47e839bacc7 | [
"if hasattr(cls, '_factory'):\n parameter_configs = []\n for pc in proto.parameters:\n parameter_configs.append(proto_converters.ParameterConfigConverter.from_proto(pc))\n return cls._factory(parameter_configs=parameter_configs)\nresult = cls()\nfor pc in proto.parameters:\n result.add(proto_conv... | <|body_start_0|>
if hasattr(cls, '_factory'):
parameter_configs = []
for pc in proto.parameters:
parameter_configs.append(proto_converters.ParameterConfigConverter.from_proto(pc))
return cls._factory(parameter_configs=parameter_configs)
result = cls()
... | A Selector for all, or part of a SearchSpace. | SearchSpace | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SearchSpace:
"""A Selector for all, or part of a SearchSpace."""
def from_proto(cls, proto: study_pb2.StudySpec) -> 'SearchSpace':
"""Extracts a SearchSpace object from a StudyConfig proto."""
<|body_0|>
def parameter_protos(self) -> List[study_pb2.StudySpec.ParameterSpe... | stack_v2_sparse_classes_10k_train_008213 | 18,489 | permissive | [
{
"docstring": "Extracts a SearchSpace object from a StudyConfig proto.",
"name": "from_proto",
"signature": "def from_proto(cls, proto: study_pb2.StudySpec) -> 'SearchSpace'"
},
{
"docstring": "Returns the search space as a List of ParameterConfig protos.",
"name": "parameter_protos",
"... | 2 | stack_v2_sparse_classes_30k_train_004896 | Implement the Python class `SearchSpace` described below.
Class description:
A Selector for all, or part of a SearchSpace.
Method signatures and docstrings:
- def from_proto(cls, proto: study_pb2.StudySpec) -> 'SearchSpace': Extracts a SearchSpace object from a StudyConfig proto.
- def parameter_protos(self) -> List[... | Implement the Python class `SearchSpace` described below.
Class description:
A Selector for all, or part of a SearchSpace.
Method signatures and docstrings:
- def from_proto(cls, proto: study_pb2.StudySpec) -> 'SearchSpace': Extracts a SearchSpace object from a StudyConfig proto.
- def parameter_protos(self) -> List[... | 76b95b92c1d3b87c72d754d8c02b1bca652b9a27 | <|skeleton|>
class SearchSpace:
"""A Selector for all, or part of a SearchSpace."""
def from_proto(cls, proto: study_pb2.StudySpec) -> 'SearchSpace':
"""Extracts a SearchSpace object from a StudyConfig proto."""
<|body_0|>
def parameter_protos(self) -> List[study_pb2.StudySpec.ParameterSpe... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SearchSpace:
"""A Selector for all, or part of a SearchSpace."""
def from_proto(cls, proto: study_pb2.StudySpec) -> 'SearchSpace':
"""Extracts a SearchSpace object from a StudyConfig proto."""
if hasattr(cls, '_factory'):
parameter_configs = []
for pc in proto.para... | the_stack_v2_python_sparse | google/cloud/aiplatform/vizier/pyvizier/study_config.py | googleapis/python-aiplatform | train | 418 |
3522d507ac363021815a9c9d49e9bb52a0cf409a | [
"l, r = (0, len(height) - 1)\nmax_c = 0\nwhile l != r:\n l_h = height[l]\n r_h = height[r]\n tem = min(l_h, r_h) * (r - l)\n max_c = max(max_c, tem)\n if l_h < r_h:\n l += 1\n else:\n r -= 1\nreturn max_c",
"i, j = (0, len(height) - 1)\nv = (j - i) * min(height[i], height[j])\nwhil... | <|body_start_0|>
l, r = (0, len(height) - 1)
max_c = 0
while l != r:
l_h = height[l]
r_h = height[r]
tem = min(l_h, r_h) * (r - l)
max_c = max(max_c, tem)
if l_h < r_h:
l += 1
else:
r -= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
l, r = (0, len(height) - 1)
max_c = 0... | stack_v2_sparse_classes_10k_train_008214 | 888 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000802 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxArea(sel... | bd8df12c0d4afd048cf1b58b04c27fa1f3622769 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
l, r = (0, len(height) - 1)
max_c = 0
while l != r:
l_h = height[l]
r_h = height[r]
tem = min(l_h, r_h) * (r - l)
max_c = max(max_c, tem)
i... | the_stack_v2_python_sparse | 11_container_with_most_water.py | aojugg/leetcode | train | 0 | |
27f9cdad439ebf131b58723dd5264b3a0970a9ef | [
"result = 0.0\nfor i in range(0, old_centroids.shape[0]):\n result += cls.calculate_euclidean_distance(old_centroids[i], new_centroids[i])\nreturn result / old_centroids.shape[0]",
"norm = 0.0\nfor i in range(0, first.shape[0]):\n norm += pow(first[i] - second[i], 2)\nreturn sqrt(norm)"
] | <|body_start_0|>
result = 0.0
for i in range(0, old_centroids.shape[0]):
result += cls.calculate_euclidean_distance(old_centroids[i], new_centroids[i])
return result / old_centroids.shape[0]
<|end_body_0|>
<|body_start_1|>
norm = 0.0
for i in range(0, first.shape[0])... | A service class for all kind of convergence calculations. | ConvergenceCalculationService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvergenceCalculationService:
"""A service class for all kind of convergence calculations."""
def calculate_averaged_euclidean_distance(cls, old_centroids, new_centroids):
"""Calculates the pairwise distance of the old and new centroid location, sum them up and divide by the amount ... | stack_v2_sparse_classes_10k_train_008215 | 977 | no_license | [
{
"docstring": "Calculates the pairwise distance of the old and new centroid location, sum them up and divide by the amount of centroids.",
"name": "calculate_averaged_euclidean_distance",
"signature": "def calculate_averaged_euclidean_distance(cls, old_centroids, new_centroids)"
},
{
"docstring... | 2 | stack_v2_sparse_classes_30k_train_006492 | Implement the Python class `ConvergenceCalculationService` described below.
Class description:
A service class for all kind of convergence calculations.
Method signatures and docstrings:
- def calculate_averaged_euclidean_distance(cls, old_centroids, new_centroids): Calculates the pairwise distance of the old and new... | Implement the Python class `ConvergenceCalculationService` described below.
Class description:
A service class for all kind of convergence calculations.
Method signatures and docstrings:
- def calculate_averaged_euclidean_distance(cls, old_centroids, new_centroids): Calculates the pairwise distance of the old and new... | ee78db14c0d5fc37d9990cf8ad634f5e264c161b | <|skeleton|>
class ConvergenceCalculationService:
"""A service class for all kind of convergence calculations."""
def calculate_averaged_euclidean_distance(cls, old_centroids, new_centroids):
"""Calculates the pairwise distance of the old and new centroid location, sum them up and divide by the amount ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ConvergenceCalculationService:
"""A service class for all kind of convergence calculations."""
def calculate_averaged_euclidean_distance(cls, old_centroids, new_centroids):
"""Calculates the pairwise distance of the old and new centroid location, sum them up and divide by the amount of centroids.... | the_stack_v2_python_sparse | qhana_openapi/clustering/convergenceCalculationService.py | IndikaKuma/quantum | train | 0 |
77541a206df1eade4bd31f98a04bacaf070e4b71 | [
"super().__init__(coordinator, serial)\nself._attr_unique_id = f'{serial}_{description.key}'\nself.entity_description = description\nself._attr_is_on = False\nself._delay_listener: Callable | None = None",
"if not (last_state := (await self.async_get_last_state())):\n return\nself._attr_is_on = last_state.stat... | <|body_start_0|>
super().__init__(coordinator, serial)
self._attr_unique_id = f'{serial}_{description.key}'
self.entity_description = description
self._attr_is_on = False
self._delay_listener: Callable | None = None
<|end_body_0|>
<|body_start_1|>
if not (last_state := (... | Representation of a EZVIZ Siren entity. | EzvizSirenEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EzvizSirenEntity:
"""Representation of a EZVIZ Siren entity."""
def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None:
"""Initialize the Siren."""
<|body_0|>
async def async_added_to_hass(self) -> None:
... | stack_v2_sparse_classes_10k_train_008216 | 4,462 | permissive | [
{
"docstring": "Initialize the Siren.",
"name": "__init__",
"signature": "def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None"
},
{
"docstring": "Run when entity about to be added to hass.",
"name": "async_added_to_hass",
... | 5 | stack_v2_sparse_classes_30k_train_005828 | Implement the Python class `EzvizSirenEntity` described below.
Class description:
Representation of a EZVIZ Siren entity.
Method signatures and docstrings:
- def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None: Initialize the Siren.
- async def async_a... | Implement the Python class `EzvizSirenEntity` described below.
Class description:
Representation of a EZVIZ Siren entity.
Method signatures and docstrings:
- def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None: Initialize the Siren.
- async def async_a... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class EzvizSirenEntity:
"""Representation of a EZVIZ Siren entity."""
def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None:
"""Initialize the Siren."""
<|body_0|>
async def async_added_to_hass(self) -> None:
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EzvizSirenEntity:
"""Representation of a EZVIZ Siren entity."""
def __init__(self, coordinator: EzvizDataUpdateCoordinator, serial: str, description: SirenEntityDescription) -> None:
"""Initialize the Siren."""
super().__init__(coordinator, serial)
self._attr_unique_id = f'{serial... | the_stack_v2_python_sparse | homeassistant/components/ezviz/siren.py | home-assistant/core | train | 35,501 |
06d6bffe2f90495eabda0f709bfa13d1ab5b3098 | [
"if not prices:\n return 0\nn = len(prices)\nif maxK > n // 2:\n return self.maxProfit_inf_k(prices)\ndp = [[[0] * 2 for _ in range(maxK + 1)] for _ in range(n)]\nfor i in range(n):\n for k in range(maxK, 0, -1):\n if i == 0:\n dp[i][k][0], dp[i][k][1] = (0, -prices[i])\n else:\n ... | <|body_start_0|>
if not prices:
return 0
n = len(prices)
if maxK > n // 2:
return self.maxProfit_inf_k(prices)
dp = [[[0] * 2 for _ in range(maxK + 1)] for _ in range(n)]
for i in range(n):
for k in range(maxK, 0, -1):
if i == 0... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, maxK: int, prices: list) -> int:
"""动态规划 跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举 状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])"""
<|body_0|>
def maxProfit_inf_k(... | stack_v2_sparse_classes_10k_train_008217 | 2,396 | no_license | [
{
"docstring": "动态规划 跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举 状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])",
"name": "maxProfit",
"signature": "def maxProfit(self, maxK: int, prices: list) -> int"
},
{
"docstring... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, maxK: int, prices: list) -> int: 动态规划 跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举 状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, maxK: int, prices: list) -> int: 动态规划 跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举 状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] ... | 3508e1ce089131b19603c3206aab4cf43023bb19 | <|skeleton|>
class Solution:
def maxProfit(self, maxK: int, prices: list) -> int:
"""动态规划 跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举 状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])"""
<|body_0|>
def maxProfit_inf_k(... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, maxK: int, prices: list) -> int:
"""动态规划 跟之前分析的一致，不同的是此题k的大小会是任意的数字，要对k这个状态进行穷举 状态方程依旧是： dp[i][k][0] = max(dp[i-1][k][0], dp[i-1][k][1] + prices[i]) dp[i][k][1] = max(dp[i-1][k][1], dp[i-1][k-1][0] - prices[i])"""
if not prices:
return 0
n = le... | the_stack_v2_python_sparse | algorithm/leetcode/dp/11-买卖股票的最佳时机Ⅳ.py | lxconfig/UbuntuCode_bak | train | 0 | |
408e74d4c066cd0124e4d9d2affa16ef24a32999 | [
"rows, cols = (len(matrix), len(matrix[0]))\nself.prefixSumMatrix = []\nfor i in range(rows):\n l = [matrix[i][0]]\n for j in range(1, cols):\n l.append(l[-1] + matrix[i][j])\n self.prefixSumMatrix.append(l)",
"res = 0\nfor i in range(row1, row2 + 1):\n if col1 != 0:\n res += self.prefix... | <|body_start_0|>
rows, cols = (len(matrix), len(matrix[0]))
self.prefixSumMatrix = []
for i in range(rows):
l = [matrix[i][0]]
for j in range(1, cols):
l.append(l[-1] + matrix[i][j])
self.prefixSumMatrix.append(l)
<|end_body_0|>
<|body_start_1... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_10k_train_008218 | 1,206 | no_license | [
{
"docstring": ":type matrix: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, matrix)"
},
{
"docstring": ":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int",
"name": "sumRegion",
"signature": "def sumRegion(self, row1, col1, row2, col2)"
... | 2 | null | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | ee59b82125f100970c842d5e1245287c484d6649 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
rows, cols = (len(matrix), len(matrix[0]))
self.prefixSumMatrix = []
for i in range(rows):
l = [matrix[i][0]]
for j in range(1, cols):
l.append(l[-1] + matrix[i][j... | the_stack_v2_python_sparse | _CodeTopics/LeetCode/201-400/000304/RE--000304.py | BIAOXYZ/variousCodes | train | 0 | |
3a45b6f3b41ea2813e9e5f14b295f1caec0ff739 | [
"self.name = name\nself.charge = charge\nself.radius = radius",
"try:\n item = getattr(self, name)\n return item\nexcept AttributeError:\n message = 'Unable to access object \"%s\" in class ForcefieldAtom' % name\n raise ValueError(message)"
] | <|body_start_0|>
self.name = name
self.charge = charge
self.radius = radius
<|end_body_0|>
<|body_start_1|>
try:
item = getattr(self, name)
return item
except AttributeError:
message = 'Unable to access object "%s" in class ForcefieldAtom' % n... | ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level | ForcefieldAtom | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ForcefieldAtom:
"""ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level"""
def __init__(self, name, charge, radius):
"""Initialize the object Parameters name: The atom name (string) charge: The charge on the atom (float) ... | stack_v2_sparse_classes_10k_train_008219 | 19,869 | permissive | [
{
"docstring": "Initialize the object Parameters name: The atom name (string) charge: The charge on the atom (float) radius: The radius of the atom (float)",
"name": "__init__",
"signature": "def __init__(self, name, charge, radius)"
},
{
"docstring": "Get a member of the ForcefieldAtom class Pa... | 2 | null | Implement the Python class `ForcefieldAtom` described below.
Class description:
ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level
Method signatures and docstrings:
- def __init__(self, name, charge, radius): Initialize the object Parameters name: The a... | Implement the Python class `ForcefieldAtom` described below.
Class description:
ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level
Method signatures and docstrings:
- def __init__(self, name, charge, radius): Initialize the object Parameters name: The a... | a50f0b2f7104007c730baa51b4ec65c891008c47 | <|skeleton|>
class ForcefieldAtom:
"""ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level"""
def __init__(self, name, charge, radius):
"""Initialize the object Parameters name: The atom name (string) charge: The charge on the atom (float) ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ForcefieldAtom:
"""ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level"""
def __init__(self, name, charge, radius):
"""Initialize the object Parameters name: The atom name (string) charge: The charge on the atom (float) radius: The r... | the_stack_v2_python_sparse | mscreen/autodocktools_prepare_py3k/MolKit/pdb2pqr/forcefield.py | e-mayo/mscreen | train | 10 |
30494a7b1a538396380a9897b4209b08a10edfaa | [
"try:\n ScfUser.objects.get(username=data)\n raise ValidationError('User {} name already exist'.format(data))\nexcept ScfUser.DoesNotExist:\n return data",
"try:\n ScfUser.objects.get(email=data)\n raise ValidationError('User {} email already exist'.format(data))\nexcept ScfUser.DoesNotExist:\n ... | <|body_start_0|>
try:
ScfUser.objects.get(username=data)
raise ValidationError('User {} name already exist'.format(data))
except ScfUser.DoesNotExist:
return data
<|end_body_0|>
<|body_start_1|>
try:
ScfUser.objects.get(email=data)
rai... | Signup with mandatory fields | SignupSerializer | [
"Apache-2.0",
"GPL-3.0-only",
"BSD-3-Clause",
"AGPL-3.0-only",
"GPL-1.0-or-later",
"Python-2.0",
"BSD-2-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignupSerializer:
"""Signup with mandatory fields"""
def validate_username(self, data):
"""check user name is exist or not"""
<|body_0|>
def validate_email(self, data):
"""check email is exist or not"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_008220 | 4,134 | permissive | [
{
"docstring": "check user name is exist or not",
"name": "validate_username",
"signature": "def validate_username(self, data)"
},
{
"docstring": "check email is exist or not",
"name": "validate_email",
"signature": "def validate_email(self, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005370 | Implement the Python class `SignupSerializer` described below.
Class description:
Signup with mandatory fields
Method signatures and docstrings:
- def validate_username(self, data): check user name is exist or not
- def validate_email(self, data): check email is exist or not | Implement the Python class `SignupSerializer` described below.
Class description:
Signup with mandatory fields
Method signatures and docstrings:
- def validate_username(self, data): check user name is exist or not
- def validate_email(self, data): check email is exist or not
<|skeleton|>
class SignupSerializer:
... | 4df3f46e35eb8fcab796be27fc1cc7fa7ed561f3 | <|skeleton|>
class SignupSerializer:
"""Signup with mandatory fields"""
def validate_username(self, data):
"""check user name is exist or not"""
<|body_0|>
def validate_email(self, data):
"""check email is exist or not"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SignupSerializer:
"""Signup with mandatory fields"""
def validate_username(self, data):
"""check user name is exist or not"""
try:
ScfUser.objects.get(username=data)
raise ValidationError('User {} name already exist'.format(data))
except ScfUser.DoesNotExis... | the_stack_v2_python_sparse | SCRM/ums/serializers.py | aricent/secure-cloud-native-fabric | train | 2 |
e23c611eef6184227698000f33da0114c9df3191 | [
"try:\n\n def generate(vo):\n for subscription in list_subscriptions(name=name, account=account, vo=vo):\n yield (render_json(**subscription) + '\\n')\n return try_stream(generate(vo=request.environ.get('vo')))\nexcept SubscriptionNotFound as error:\n return generate_http_error_flask(404,... | <|body_start_0|>
try:
def generate(vo):
for subscription in list_subscriptions(name=name, account=account, vo=vo):
yield (render_json(**subscription) + '\n')
return try_stream(generate(vo=request.environ.get('vo')))
except SubscriptionNotFound... | REST APIs for subscriptions. | Subscription | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Subscription:
"""REST APIs for subscriptions."""
def get(self, account=None, name=None):
"""--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - na... | stack_v2_sparse_classes_10k_train_008221 | 24,180 | permissive | [
{
"docstring": "--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - name: name in: path description: The subscription name. schema: type: string style: simple responses: 200:... | 3 | null | Implement the Python class `Subscription` described below.
Class description:
REST APIs for subscriptions.
Method signatures and docstrings:
- def get(self, account=None, name=None): --- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: ... | Implement the Python class `Subscription` described below.
Class description:
REST APIs for subscriptions.
Method signatures and docstrings:
- def get(self, account=None, name=None): --- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: ... | 7f0d229ac0b3bc7dec12c6e158bea2b82d414a3b | <|skeleton|>
class Subscription:
"""REST APIs for subscriptions."""
def get(self, account=None, name=None):
"""--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - na... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Subscription:
"""REST APIs for subscriptions."""
def get(self, account=None, name=None):
"""--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - name: name in: ... | the_stack_v2_python_sparse | lib/rucio/web/rest/flaskapi/v1/subscriptions.py | rucio/rucio | train | 232 |
b63161d220b2066182b0baf591d11e67affa1bae | [
"adj_list = {0: [1, 2], 1: [2], 2: [0], 3: []}\nresult = find_friend_groups(adj_list)\nself.assertEqual(result, 2)",
"adj_list = {0: [1, 2], 1: [0, 5], 2: [0], 3: [6], 4: [], 5: [1], 6: [3]}\nresult = find_friend_groups(adj_list)\nself.assertEqual(result, 3)"
] | <|body_start_0|>
adj_list = {0: [1, 2], 1: [2], 2: [0], 3: []}
result = find_friend_groups(adj_list)
self.assertEqual(result, 2)
<|end_body_0|>
<|body_start_1|>
adj_list = {0: [1, 2], 1: [0, 5], 2: [0], 3: [6], 4: [], 5: [1], 6: [3]}
result = find_friend_groups(adj_list)
... | TestFindFriendGroups | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFindFriendGroups:
def test_returns_two_groups(self):
"""Takes in an adjacency list of friends and returns 2"""
<|body_0|>
def test_returns_three_groups(self):
"""Takes in an adjacency list of friends and returns 3"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_10k_train_008222 | 674 | permissive | [
{
"docstring": "Takes in an adjacency list of friends and returns 2",
"name": "test_returns_two_groups",
"signature": "def test_returns_two_groups(self)"
},
{
"docstring": "Takes in an adjacency list of friends and returns 3",
"name": "test_returns_three_groups",
"signature": "def test_r... | 2 | stack_v2_sparse_classes_30k_train_000660 | Implement the Python class `TestFindFriendGroups` described below.
Class description:
Implement the TestFindFriendGroups class.
Method signatures and docstrings:
- def test_returns_two_groups(self): Takes in an adjacency list of friends and returns 2
- def test_returns_three_groups(self): Takes in an adjacency list o... | Implement the Python class `TestFindFriendGroups` described below.
Class description:
Implement the TestFindFriendGroups class.
Method signatures and docstrings:
- def test_returns_two_groups(self): Takes in an adjacency list of friends and returns 2
- def test_returns_three_groups(self): Takes in an adjacency list o... | 27ffb6b32d6d18d279c51cfa45bf305a409be5c2 | <|skeleton|>
class TestFindFriendGroups:
def test_returns_two_groups(self):
"""Takes in an adjacency list of friends and returns 2"""
<|body_0|>
def test_returns_three_groups(self):
"""Takes in an adjacency list of friends and returns 3"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestFindFriendGroups:
def test_returns_two_groups(self):
"""Takes in an adjacency list of friends and returns 2"""
adj_list = {0: [1, 2], 1: [2], 2: [0], 3: []}
result = find_friend_groups(adj_list)
self.assertEqual(result, 2)
def test_returns_three_groups(self):
"... | the_stack_v2_python_sparse | src/daily-coding-problem/easy/find-friend-groups/test_find_friend_group.py | nwthomas/code-challenges | train | 2 | |
fa4c7bf4224f2b13e4f02b76348002374384aa90 | [
"super().__init__(schema)\nhcs_cust = Customer.objects.filter(schema_name=schema).first()\nself._ebs_acct_num = hcs_cust.account_id\nself._org_id = hcs_cust.org_id",
"ctx = {'schema': self.schema, 'provider_type': provider, 'provider_uuid': provider_uuid, 'date': date, 'org_id': self._org_id, 'ebs_account': self.... | <|body_start_0|>
super().__init__(schema)
hcs_cust = Customer.objects.filter(schema_name=schema).first()
self._ebs_acct_num = hcs_cust.account_id
self._org_id = hcs_cust.org_id
<|end_body_0|>
<|body_start_1|>
ctx = {'schema': self.schema, 'provider_type': provider, 'provider_uui... | Class to interact with customer reporting tables. | HCSReportDBAccessor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HCSReportDBAccessor:
"""Class to interact with customer reporting tables."""
def __init__(self, schema):
"""Establish the database connection. :param schema (str): The customer schema to associate with"""
<|body_0|>
def get_hcs_daily_summary(self, date, provider, provide... | stack_v2_sparse_classes_10k_train_008223 | 4,327 | permissive | [
{
"docstring": "Establish the database connection. :param schema (str): The customer schema to associate with",
"name": "__init__",
"signature": "def __init__(self, schema)"
},
{
"docstring": "Build HCS daily report. :param date (datetime.date) The date to process :param provider (str) The provi... | 2 | stack_v2_sparse_classes_30k_train_004984 | Implement the Python class `HCSReportDBAccessor` described below.
Class description:
Class to interact with customer reporting tables.
Method signatures and docstrings:
- def __init__(self, schema): Establish the database connection. :param schema (str): The customer schema to associate with
- def get_hcs_daily_summa... | Implement the Python class `HCSReportDBAccessor` described below.
Class description:
Class to interact with customer reporting tables.
Method signatures and docstrings:
- def __init__(self, schema): Establish the database connection. :param schema (str): The customer schema to associate with
- def get_hcs_daily_summa... | 0416e5216eb1ec4b41c8dd4999adde218b1ab2e1 | <|skeleton|>
class HCSReportDBAccessor:
"""Class to interact with customer reporting tables."""
def __init__(self, schema):
"""Establish the database connection. :param schema (str): The customer schema to associate with"""
<|body_0|>
def get_hcs_daily_summary(self, date, provider, provide... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class HCSReportDBAccessor:
"""Class to interact with customer reporting tables."""
def __init__(self, schema):
"""Establish the database connection. :param schema (str): The customer schema to associate with"""
super().__init__(schema)
hcs_cust = Customer.objects.filter(schema_name=sche... | the_stack_v2_python_sparse | koku/hcs/database/report_db_accessor.py | project-koku/koku | train | 225 |
98f3498b4190f094fde9bbae1169915961817cfb | [
"if not arg:\n self.push('501 Syntax: HELO hostname')\n return\nself.push('250-PyBitmessage %s' % softwareVersion)\nself.push('250 AUTH PLAIN')",
"if not arg or arg[0:5] not in ['PLAIN']:\n self.push('501 Syntax: AUTH PLAIN')\n return\nauthstring = arg[6:]\ntry:\n decoded = base64.b64decode(authstr... | <|body_start_0|>
if not arg:
self.push('501 Syntax: HELO hostname')
return
self.push('250-PyBitmessage %s' % softwareVersion)
self.push('250 AUTH PLAIN')
<|end_body_0|>
<|body_start_1|>
if not arg or arg[0:5] not in ['PLAIN']:
self.push('501 Syntax: A... | Asyncore channel for SMTP protocol (server) | smtpServerChannel | [
"HPND",
"MIT",
"BSD-2-Clause-Views",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class smtpServerChannel:
"""Asyncore channel for SMTP protocol (server)"""
def smtp_EHLO(self, arg):
"""Process an EHLO"""
<|body_0|>
def smtp_AUTH(self, arg):
"""Process AUTH"""
<|body_1|>
def smtp_DATA(self, arg):
"""Process DATA"""
<|bod... | stack_v2_sparse_classes_10k_train_008224 | 7,298 | permissive | [
{
"docstring": "Process an EHLO",
"name": "smtp_EHLO",
"signature": "def smtp_EHLO(self, arg)"
},
{
"docstring": "Process AUTH",
"name": "smtp_AUTH",
"signature": "def smtp_AUTH(self, arg)"
},
{
"docstring": "Process DATA",
"name": "smtp_DATA",
"signature": "def smtp_DATA... | 3 | stack_v2_sparse_classes_30k_train_002582 | Implement the Python class `smtpServerChannel` described below.
Class description:
Asyncore channel for SMTP protocol (server)
Method signatures and docstrings:
- def smtp_EHLO(self, arg): Process an EHLO
- def smtp_AUTH(self, arg): Process AUTH
- def smtp_DATA(self, arg): Process DATA | Implement the Python class `smtpServerChannel` described below.
Class description:
Asyncore channel for SMTP protocol (server)
Method signatures and docstrings:
- def smtp_EHLO(self, arg): Process an EHLO
- def smtp_AUTH(self, arg): Process AUTH
- def smtp_DATA(self, arg): Process DATA
<|skeleton|>
class smtpServerC... | 035fac1fc5e7900146230055627f62a23e7f0686 | <|skeleton|>
class smtpServerChannel:
"""Asyncore channel for SMTP protocol (server)"""
def smtp_EHLO(self, arg):
"""Process an EHLO"""
<|body_0|>
def smtp_AUTH(self, arg):
"""Process AUTH"""
<|body_1|>
def smtp_DATA(self, arg):
"""Process DATA"""
<|bod... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class smtpServerChannel:
"""Asyncore channel for SMTP protocol (server)"""
def smtp_EHLO(self, arg):
"""Process an EHLO"""
if not arg:
self.push('501 Syntax: HELO hostname')
return
self.push('250-PyBitmessage %s' % softwareVersion)
self.push('250 AUTH PLA... | the_stack_v2_python_sparse | src/class_smtpServer.py | PeterSurda/PyBitmessage | train | 2 |
63cfb61ea82d11af274acd160ae070c6992fb9d6 | [
"self._deferred = deferred\nself._buff = []\nself._uid = None\nself._key = createKey()",
"if not self._uid:\n if not definition.validateSuffix(line):\n raise ValueError('Received address suffix is not valid.')\n self._uid = line\n self.transport.write('{0}{1}{1}'.format(dumpCertReq(createCertReq(s... | <|body_start_0|>
self._deferred = deferred
self._buff = []
self._uid = None
self._key = createKey()
<|end_body_0|>
<|body_start_1|>
if not self._uid:
if not definition.validateSuffix(line):
raise ValueError('Received address suffix is not valid.')
... | Protocol which is used by a client to retrieve a new UID and certificate for a machine. | _SSLClientProtocol | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _SSLClientProtocol:
"""Protocol which is used by a client to retrieve a new UID and certificate for a machine."""
def __init__(self, deferred):
"""Initialize SSLClientProtocol. @param deferred: Deferred which should be called with the received UID, certificate and private key. @type ... | stack_v2_sparse_classes_10k_train_008225 | 18,143 | permissive | [
{
"docstring": "Initialize SSLClientProtocol. @param deferred: Deferred which should be called with the received UID, certificate and private key. @type deferred: Deferred",
"name": "__init__",
"signature": "def __init__(self, deferred)"
},
{
"docstring": "Callback which is called by twisted whe... | 3 | stack_v2_sparse_classes_30k_train_001481 | Implement the Python class `_SSLClientProtocol` described below.
Class description:
Protocol which is used by a client to retrieve a new UID and certificate for a machine.
Method signatures and docstrings:
- def __init__(self, deferred): Initialize SSLClientProtocol. @param deferred: Deferred which should be called w... | Implement the Python class `_SSLClientProtocol` described below.
Class description:
Protocol which is used by a client to retrieve a new UID and certificate for a machine.
Method signatures and docstrings:
- def __init__(self, deferred): Initialize SSLClientProtocol. @param deferred: Deferred which should be called w... | c277efd809fce8f0f18b009fb3b9c7f785cc3739 | <|skeleton|>
class _SSLClientProtocol:
"""Protocol which is used by a client to retrieve a new UID and certificate for a machine."""
def __init__(self, deferred):
"""Initialize SSLClientProtocol. @param deferred: Deferred which should be called with the received UID, certificate and private key. @type ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class _SSLClientProtocol:
"""Protocol which is used by a client to retrieve a new UID and certificate for a machine."""
def __init__(self, deferred):
"""Initialize SSLClientProtocol. @param deferred: Deferred which should be called with the received UID, certificate and private key. @type deferred: Def... | the_stack_v2_python_sparse | framework/core/machine.py | LCROBOT/rce | train | 0 |
665d6428c4e4bb264bf7313e961b9e625f5f77e4 | [
"self._capacity = float(tokens)\nself._tokens = float(tokens)\nself._fill_rate = float(fill_rate)\nself._timestamp = time.time()",
"while block and tokens > self.tokens:\n deficit = tokens - self._tokens\n delay = deficit / self._fill_rate\n time.sleep(delay)\nif tokens <= self.tokens:\n self._tokens ... | <|body_start_0|>
self._capacity = float(tokens)
self._tokens = float(tokens)
self._fill_rate = float(fill_rate)
self._timestamp = time.time()
<|end_body_0|>
<|body_start_1|>
while block and tokens > self.tokens:
deficit = tokens - self._tokens
delay = def... | An implementation of the token bucket algorithm. Usage:: >>> bucket = TokenBucket(80, 0.5) >>> print(bucket.consume(10)) True Not thread safe. | TokenBucket | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TokenBucket:
"""An implementation of the token bucket algorithm. Usage:: >>> bucket = TokenBucket(80, 0.5) >>> print(bucket.consume(10)) True Not thread safe."""
def __init__(self, tokens, fill_rate):
""":param int tokens: the total tokens in the bucket :param float fill_rate: the ra... | stack_v2_sparse_classes_10k_train_008226 | 2,497 | permissive | [
{
"docstring": ":param int tokens: the total tokens in the bucket :param float fill_rate: the rate in tokens/second that the bucket will be refilled.",
"name": "__init__",
"signature": "def __init__(self, tokens, fill_rate)"
},
{
"docstring": "Consume tokens from the bucket. Returns True if ther... | 3 | null | Implement the Python class `TokenBucket` described below.
Class description:
An implementation of the token bucket algorithm. Usage:: >>> bucket = TokenBucket(80, 0.5) >>> print(bucket.consume(10)) True Not thread safe.
Method signatures and docstrings:
- def __init__(self, tokens, fill_rate): :param int tokens: the ... | Implement the Python class `TokenBucket` described below.
Class description:
An implementation of the token bucket algorithm. Usage:: >>> bucket = TokenBucket(80, 0.5) >>> print(bucket.consume(10)) True Not thread safe.
Method signatures and docstrings:
- def __init__(self, tokens, fill_rate): :param int tokens: the ... | a9562268497c1b95cb2a5f38deba1dcde9b08cf7 | <|skeleton|>
class TokenBucket:
"""An implementation of the token bucket algorithm. Usage:: >>> bucket = TokenBucket(80, 0.5) >>> print(bucket.consume(10)) True Not thread safe."""
def __init__(self, tokens, fill_rate):
""":param int tokens: the total tokens in the bucket :param float fill_rate: the ra... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TokenBucket:
"""An implementation of the token bucket algorithm. Usage:: >>> bucket = TokenBucket(80, 0.5) >>> print(bucket.consume(10)) True Not thread safe."""
def __init__(self, tokens, fill_rate):
""":param int tokens: the total tokens in the bucket :param float fill_rate: the rate in tokens/... | the_stack_v2_python_sparse | spinnman/connections/token_bucket.py | SpiNNakerManchester/SpiNNMan | train | 8 |
9a5dbc727fc9964b0caf645d871ee4f4fb224824 | [
"self.module_name = module_name\nself.mail_templates = mail_templates\nsuper(Logic, self).__init__(model=model, base_model=base_model, scope_logic=scope_logic)",
"current_status = record.status\nif current_status == 'pre-accepted':\n new_status = 'accepted'\nelif current_status == 'pre-rejected':\n new_stat... | <|body_start_0|>
self.module_name = module_name
self.mail_templates = mail_templates
super(Logic, self).__init__(model=model, base_model=base_model, scope_logic=scope_logic)
<|end_body_0|>
<|body_start_1|>
current_status = record.status
if current_status == 'pre-accepted':
... | Logic class for OrgAppRecord. | Logic | [
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logic:
"""Logic class for OrgAppRecord."""
def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None):
"""Defines the name, key_name and model for this entity."""
<|body_0|>
def processRecord(self, record):
... | stack_v2_sparse_classes_10k_train_008227 | 2,779 | permissive | [
{
"docstring": "Defines the name, key_name and model for this entity.",
"name": "__init__",
"signature": "def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None)"
},
{
"docstring": "Processes an OrgAppRecord that is in the pre-acc... | 3 | stack_v2_sparse_classes_30k_train_004341 | Implement the Python class `Logic` described below.
Class description:
Logic class for OrgAppRecord.
Method signatures and docstrings:
- def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None): Defines the name, key_name and model for this entity.
- de... | Implement the Python class `Logic` described below.
Class description:
Logic class for OrgAppRecord.
Method signatures and docstrings:
- def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None): Defines the name, key_name and model for this entity.
- de... | 9bd45c168f8ddb5c0e6c04eacdcaeafd61908be7 | <|skeleton|>
class Logic:
"""Logic class for OrgAppRecord."""
def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None):
"""Defines the name, key_name and model for this entity."""
<|body_0|>
def processRecord(self, record):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Logic:
"""Logic class for OrgAppRecord."""
def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None):
"""Defines the name, key_name and model for this entity."""
self.module_name = module_name
self.mail_templates = ma... | the_stack_v2_python_sparse | app/soc/logic/models/org_app_record.py | pombredanne/Melange-1 | train | 0 |
500cad510c1774e236f51681a70eb769a038f9c1 | [
"for subkey in application_identifiers_key.GetSubkeys():\n name = subkey.name.lower()\n if len(name) == 38 and name[0] == '{' and (name[37] == '}'):\n description = self._GetValueFromKey(subkey, '')\n yield ApplicationIdentifier(name, description)",
"application_identifiers_key = registry.GetK... | <|body_start_0|>
for subkey in application_identifiers_key.GetSubkeys():
name = subkey.name.lower()
if len(name) == 38 and name[0] == '{' and (name[37] == '}'):
description = self._GetValueFromKey(subkey, '')
yield ApplicationIdentifier(name, description)
... | Windows application identifiers collector. | ApplicationIdentifiersCollector | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApplicationIdentifiersCollector:
"""Windows application identifiers collector."""
def _CollectApplicationIdentifiers(self, application_identifiers_key):
"""Collects Windows application identifiers (AppID). Args: application_identifiers_key (dfwinreg.WinRegistryKey): application ident... | stack_v2_sparse_classes_10k_train_008228 | 1,906 | permissive | [
{
"docstring": "Collects Windows application identifiers (AppID). Args: application_identifiers_key (dfwinreg.WinRegistryKey): application identifiers Windows Registry key. Yields: ApplicationIdentifier: an application identifier.",
"name": "_CollectApplicationIdentifiers",
"signature": "def _CollectApp... | 2 | stack_v2_sparse_classes_30k_val_000217 | Implement the Python class `ApplicationIdentifiersCollector` described below.
Class description:
Windows application identifiers collector.
Method signatures and docstrings:
- def _CollectApplicationIdentifiers(self, application_identifiers_key): Collects Windows application identifiers (AppID). Args: application_ide... | Implement the Python class `ApplicationIdentifiersCollector` described below.
Class description:
Windows application identifiers collector.
Method signatures and docstrings:
- def _CollectApplicationIdentifiers(self, application_identifiers_key): Collects Windows application identifiers (AppID). Args: application_ide... | d149aff1b8ff97e1cc8d7416fc583b964bad4ccd | <|skeleton|>
class ApplicationIdentifiersCollector:
"""Windows application identifiers collector."""
def _CollectApplicationIdentifiers(self, application_identifiers_key):
"""Collects Windows application identifiers (AppID). Args: application_identifiers_key (dfwinreg.WinRegistryKey): application ident... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ApplicationIdentifiersCollector:
"""Windows application identifiers collector."""
def _CollectApplicationIdentifiers(self, application_identifiers_key):
"""Collects Windows application identifiers (AppID). Args: application_identifiers_key (dfwinreg.WinRegistryKey): application identifiers Window... | the_stack_v2_python_sparse | winregrc/application_identifiers.py | libyal/winreg-kb | train | 129 |
fbba8018f1d961854ca82b15ad62cfc3088ff181 | [
"getpermsessages = getpermsessage()\nif getpermsessages:\n self.uri = getpermsessages.get('zabbixurl', '')\n self.zabbixuser = getpermsessages.get('zabbixuser', '')\n self.zabbixpassword = encrypt_and_decode().decrypted_text(getpermsessages.get('zabbixpassword', ''))\nif zabbixurl:\n self.uri = zabbixur... | <|body_start_0|>
getpermsessages = getpermsessage()
if getpermsessages:
self.uri = getpermsessages.get('zabbixurl', '')
self.zabbixuser = getpermsessages.get('zabbixuser', '')
self.zabbixpassword = encrypt_and_decode().decrypted_text(getpermsessages.get('zabbixpasswor... | Zabbix API类 | ZabbixApi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZabbixApi:
"""Zabbix API类"""
def __init__(self, encode='utf-8', zabbixurl=None, zabbixuser=None, zabbixpassword=None):
"""构造函数 :param request_id:JSON-RPC请求标识符"""
<|body_0|>
def call(self, method, params, AUTH=None):
"""ZabbixAPI请求程序 :param method: Zabbix API方法名称 ... | stack_v2_sparse_classes_10k_train_008229 | 21,075 | no_license | [
{
"docstring": "构造函数 :param request_id:JSON-RPC请求标识符",
"name": "__init__",
"signature": "def __init__(self, encode='utf-8', zabbixurl=None, zabbixuser=None, zabbixpassword=None)"
},
{
"docstring": "ZabbixAPI请求程序 :param method: Zabbix API方法名称 :param params: Zabbix API方法参数 :param through_authentic... | 3 | stack_v2_sparse_classes_30k_train_005051 | Implement the Python class `ZabbixApi` described below.
Class description:
Zabbix API类
Method signatures and docstrings:
- def __init__(self, encode='utf-8', zabbixurl=None, zabbixuser=None, zabbixpassword=None): 构造函数 :param request_id:JSON-RPC请求标识符
- def call(self, method, params, AUTH=None): ZabbixAPI请求程序 :param me... | Implement the Python class `ZabbixApi` described below.
Class description:
Zabbix API类
Method signatures and docstrings:
- def __init__(self, encode='utf-8', zabbixurl=None, zabbixuser=None, zabbixpassword=None): 构造函数 :param request_id:JSON-RPC请求标识符
- def call(self, method, params, AUTH=None): ZabbixAPI请求程序 :param me... | 5552af663ed2c668a16b9c687c2a50ed02595a01 | <|skeleton|>
class ZabbixApi:
"""Zabbix API类"""
def __init__(self, encode='utf-8', zabbixurl=None, zabbixuser=None, zabbixpassword=None):
"""构造函数 :param request_id:JSON-RPC请求标识符"""
<|body_0|>
def call(self, method, params, AUTH=None):
"""ZabbixAPI请求程序 :param method: Zabbix API方法名称 ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ZabbixApi:
"""Zabbix API类"""
def __init__(self, encode='utf-8', zabbixurl=None, zabbixuser=None, zabbixpassword=None):
"""构造函数 :param request_id:JSON-RPC请求标识符"""
getpermsessages = getpermsessage()
if getpermsessages:
self.uri = getpermsessages.get('zabbixurl', '')
... | the_stack_v2_python_sparse | ADapi/zapi.py | openitsystem/itops | train | 144 |
cc878044d30b3563836322d6f429d72294c9dd17 | [
"settings = current.deployment_settings\nscope = 'https://www.googleapis.com/auth/userinfo.email https://www.googleapis.com/auth/userinfo.profile'\nuser_agent = 'google-api-client-python-plus-cmdline/1.0'\nredirect_uri = '%s/%s/default/google/login' % (settings.get_base_public_url(), current.request.application)\nO... | <|body_start_0|>
settings = current.deployment_settings
scope = 'https://www.googleapis.com/auth/userinfo.email https://www.googleapis.com/auth/userinfo.profile'
user_agent = 'google-api-client-python-plus-cmdline/1.0'
redirect_uri = '%s/%s/default/google/login' % (settings.get_base_publ... | OAuth implementation for Google https://code.google.com/apis/console/ | GooglePlusAccount | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GooglePlusAccount:
"""OAuth implementation for Google https://code.google.com/apis/console/"""
def __init__(self, channel):
"""Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}"""
<|body_0|>
def __build_url_opener(self, uri)... | stack_v2_sparse_classes_10k_train_008230 | 31,965 | permissive | [
{
"docstring": "Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}",
"name": "__init__",
"signature": "def __init__(self, channel)"
},
{
"docstring": "Build the url opener for managing HTTP Basic Authentication",
"name": "__build_url_opener",
... | 6 | null | Implement the Python class `GooglePlusAccount` described below.
Class description:
OAuth implementation for Google https://code.google.com/apis/console/
Method signatures and docstrings:
- def __init__(self, channel): Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}
- d... | Implement the Python class `GooglePlusAccount` described below.
Class description:
OAuth implementation for Google https://code.google.com/apis/console/
Method signatures and docstrings:
- def __init__(self, channel): Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}
- d... | 7ec4b959d009daf26d5ca6ce91dd9c3c0bd978d6 | <|skeleton|>
class GooglePlusAccount:
"""OAuth implementation for Google https://code.google.com/apis/console/"""
def __init__(self, channel):
"""Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}"""
<|body_0|>
def __build_url_opener(self, uri)... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GooglePlusAccount:
"""OAuth implementation for Google https://code.google.com/apis/console/"""
def __init__(self, channel):
"""Constructor @param channel: dict with Google API credentials: {id=clientID, secret=clientSecret}"""
settings = current.deployment_settings
scope = 'https:... | the_stack_v2_python_sparse | modules/core/aaa/oauth.py | nursix/drkcm | train | 3 |
ea92aca8b46c3388f67c9d72671ba2e698f2ebcf | [
"super(EditUserForm, self).__init__(*args, **kwargs)\nif self.instance.is_superuser:\n self.fields['is_admin'].initial = True",
"user = super(EditUserForm, self).save(commit=False)\nif self.cleaned_data['is_admin']:\n user.is_superuser = True\nif commit:\n user.save()\nreturn user"
] | <|body_start_0|>
super(EditUserForm, self).__init__(*args, **kwargs)
if self.instance.is_superuser:
self.fields['is_admin'].initial = True
<|end_body_0|>
<|body_start_1|>
user = super(EditUserForm, self).save(commit=False)
if self.cleaned_data['is_admin']:
user.i... | Class for creating a new user | EditUserForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditUserForm:
"""Class for creating a new user"""
def __init__(self, *args, **kwargs):
"""Override init to customise the UserCreationForm widget class appearance"""
<|body_0|>
def save(self, commit=True):
"""Override save to make user a superuser"""
<|bod... | stack_v2_sparse_classes_10k_train_008231 | 30,652 | permissive | [
{
"docstring": "Override init to customise the UserCreationForm widget class appearance",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Override save to make user a superuser",
"name": "save",
"signature": "def save(self, commit=True)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003401 | Implement the Python class `EditUserForm` described below.
Class description:
Class for creating a new user
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Override init to customise the UserCreationForm widget class appearance
- def save(self, commit=True): Override save to make user a super... | Implement the Python class `EditUserForm` described below.
Class description:
Class for creating a new user
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Override init to customise the UserCreationForm widget class appearance
- def save(self, commit=True): Override save to make user a super... | fdff8b8ddc202c53edda2a509a50c4e83013474d | <|skeleton|>
class EditUserForm:
"""Class for creating a new user"""
def __init__(self, *args, **kwargs):
"""Override init to customise the UserCreationForm widget class appearance"""
<|body_0|>
def save(self, commit=True):
"""Override save to make user a superuser"""
<|bod... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EditUserForm:
"""Class for creating a new user"""
def __init__(self, *args, **kwargs):
"""Override init to customise the UserCreationForm widget class appearance"""
super(EditUserForm, self).__init__(*args, **kwargs)
if self.instance.is_superuser:
self.fields['is_admin... | the_stack_v2_python_sparse | rse/forms.py | RSE-Sheffield/RSEAdmin | train | 22 |
13ea48fa18ba96b6908198712b90d09339d5f1bf | [
"couple: Couple = Couple.query.filter(Couple.id == couple_id).first()\nif couple:\n return couple.json()\nreturn abort(404)",
"couple: Couple = Couple.query.filter(Couple.id == couple_id).first()\nif couple:\n couple.lead_id = api.payload['lead_id']\n couple.follow_id = api.payload['follow_id']\n db.s... | <|body_start_0|>
couple: Couple = Couple.query.filter(Couple.id == couple_id).first()
if couple:
return couple.json()
return abort(404)
<|end_body_0|>
<|body_start_1|>
couple: Couple = Couple.query.filter(Couple.id == couple_id).first()
if couple:
couple.... | CoupleSpecific | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CoupleSpecific:
def get(self, couple_id):
"""Get person"""
<|body_0|>
def put(self, couple_id):
"""Update couple"""
<|body_1|>
def delete(self, couple_id):
"""Delete couple"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
couple:... | stack_v2_sparse_classes_10k_train_008232 | 2,281 | no_license | [
{
"docstring": "Get person",
"name": "get",
"signature": "def get(self, couple_id)"
},
{
"docstring": "Update couple",
"name": "put",
"signature": "def put(self, couple_id)"
},
{
"docstring": "Delete couple",
"name": "delete",
"signature": "def delete(self, couple_id)"
... | 3 | stack_v2_sparse_classes_30k_train_005870 | Implement the Python class `CoupleSpecific` described below.
Class description:
Implement the CoupleSpecific class.
Method signatures and docstrings:
- def get(self, couple_id): Get person
- def put(self, couple_id): Update couple
- def delete(self, couple_id): Delete couple | Implement the Python class `CoupleSpecific` described below.
Class description:
Implement the CoupleSpecific class.
Method signatures and docstrings:
- def get(self, couple_id): Get person
- def put(self, couple_id): Update couple
- def delete(self, couple_id): Delete couple
<|skeleton|>
class CoupleSpecific:
d... | 22733b2a9638c4c0a58f28e7b7f933586730ecd4 | <|skeleton|>
class CoupleSpecific:
def get(self, couple_id):
"""Get person"""
<|body_0|>
def put(self, couple_id):
"""Update couple"""
<|body_1|>
def delete(self, couple_id):
"""Delete couple"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CoupleSpecific:
def get(self, couple_id):
"""Get person"""
couple: Couple = Couple.query.filter(Couple.id == couple_id).first()
if couple:
return couple.json()
return abort(404)
def put(self, couple_id):
"""Update couple"""
couple: Couple = Coup... | the_stack_v2_python_sparse | apis/couple/apis.py | AlenAlic/4hf-corona-api | train | 0 | |
d71dc2f1a3351639ea8c3e0b6aa5060781363e2d | [
"parser = MagicCommandParser(description='changes matplotlib style', prog='mpl_style')\nparser.add_argument('style', type=str, help='style, ggplot for exemple', default='ggplot')\nreturn parser",
"parser = self.get_parser(MagicGraph.mpl_style_parser, 'mpl_style')\nargs = self.get_args(line, parser)\nif args is no... | <|body_start_0|>
parser = MagicCommandParser(description='changes matplotlib style', prog='mpl_style')
parser.add_argument('style', type=str, help='style, ggplot for exemple', default='ggplot')
return parser
<|end_body_0|>
<|body_start_1|>
parser = self.get_parser(MagicGraph.mpl_style_p... | Defines magic commands about graphs .. versionadded:: 1.1 | MagicGraph | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MagicGraph:
"""Defines magic commands about graphs .. versionadded:: 1.1"""
def mpl_style_parser():
"""defines the way to parse the magic command ``%mpl_style``"""
<|body_0|>
def mpl_style(self, line):
"""defines ``%mpl_style`` which changes the style of matplotl... | stack_v2_sparse_classes_10k_train_008233 | 1,955 | permissive | [
{
"docstring": "defines the way to parse the magic command ``%mpl_style``",
"name": "mpl_style_parser",
"signature": "def mpl_style_parser()"
},
{
"docstring": "defines ``%mpl_style`` which changes the style of matplotlib graphs, example: ``%mpl_style ggplot`` .. nbref:: :title: mpl_style This m... | 2 | stack_v2_sparse_classes_30k_train_001978 | Implement the Python class `MagicGraph` described below.
Class description:
Defines magic commands about graphs .. versionadded:: 1.1
Method signatures and docstrings:
- def mpl_style_parser(): defines the way to parse the magic command ``%mpl_style``
- def mpl_style(self, line): defines ``%mpl_style`` which changes ... | Implement the Python class `MagicGraph` described below.
Class description:
Defines magic commands about graphs .. versionadded:: 1.1
Method signatures and docstrings:
- def mpl_style_parser(): defines the way to parse the magic command ``%mpl_style``
- def mpl_style(self, line): defines ``%mpl_style`` which changes ... | 33af98adb093f525df7fac7c86613fa7cd181b44 | <|skeleton|>
class MagicGraph:
"""Defines magic commands about graphs .. versionadded:: 1.1"""
def mpl_style_parser():
"""defines the way to parse the magic command ``%mpl_style``"""
<|body_0|>
def mpl_style(self, line):
"""defines ``%mpl_style`` which changes the style of matplotl... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MagicGraph:
"""Defines magic commands about graphs .. versionadded:: 1.1"""
def mpl_style_parser():
"""defines the way to parse the magic command ``%mpl_style``"""
parser = MagicCommandParser(description='changes matplotlib style', prog='mpl_style')
parser.add_argument('style', ty... | the_stack_v2_python_sparse | src/pyensae/graphhelper/magic_graph.py | sdpython/pyensae | train | 33 |
94bbc1267cb51ddbed5c530d554d05ac03de21cd | [
"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. | OuAppServiceServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OuAppServiceServicer:
"""Missing associated documentation comment in .proto file."""
def ou_by_name(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def ou_by_id(self, request, context):
"""Missing associated docu... | stack_v2_sparse_classes_10k_train_008234 | 7,781 | no_license | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "ou_by_name",
"signature": "def ou_by_name(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "ou_by_id",
"signature": "def ou_by_id(self, reques... | 4 | stack_v2_sparse_classes_30k_train_006660 | Implement the Python class `OuAppServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def ou_by_name(self, request, context): Missing associated documentation comment in .proto file.
- def ou_by_id(self, request, context): Mi... | Implement the Python class `OuAppServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def ou_by_name(self, request, context): Missing associated documentation comment in .proto file.
- def ou_by_id(self, request, context): Mi... | 55d36c068e26e13ee5bae5c033e2e17784c63feb | <|skeleton|>
class OuAppServiceServicer:
"""Missing associated documentation comment in .proto file."""
def ou_by_name(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def ou_by_id(self, request, context):
"""Missing associated docu... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OuAppServiceServicer:
"""Missing associated documentation comment in .proto file."""
def ou_by_name(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!'... | the_stack_v2_python_sparse | src/resource/proto/_generated/identity/ou_app_service_pb2_grpc.py | arkanmgerges/cafm.identity | train | 0 |
631de2942d6f0b78ea75799a7cdf87ae27958f39 | [
"super().__init__()\nif not isinstance(volumes, Volumes):\n raise ValueError(\"'volumes' have to be an instance of the 'Volumes' class.\")\nself._volumes = volumes\nself._sample_mode = sample_mode",
"world2local = self._volumes.get_world_to_local_coords_transform().get_matrix()\ndirections_transform_matrix = e... | <|body_start_0|>
super().__init__()
if not isinstance(volumes, Volumes):
raise ValueError("'volumes' have to be an instance of the 'Volumes' class.")
self._volumes = volumes
self._sample_mode = sample_mode
<|end_body_0|>
<|body_start_1|>
world2local = self._volumes.g... | A module to sample a batch of volumes `Volumes` at 3D points sampled along projection rays. | VolumeSampler | [
"MIT",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VolumeSampler:
"""A module to sample a batch of volumes `Volumes` at 3D points sampled along projection rays."""
def __init__(self, volumes: Volumes, sample_mode: str='bilinear') -> None:
"""Args: volumes: An instance of the `Volumes` class representing a batch of volumes that are be... | stack_v2_sparse_classes_10k_train_008235 | 17,111 | permissive | [
{
"docstring": "Args: volumes: An instance of the `Volumes` class representing a batch of volumes that are being rendered. sample_mode: Defines the algorithm used to sample the volumetric voxel grid. Can be either \"bilinear\" or \"nearest\".",
"name": "__init__",
"signature": "def __init__(self, volume... | 3 | stack_v2_sparse_classes_30k_train_005145 | Implement the Python class `VolumeSampler` described below.
Class description:
A module to sample a batch of volumes `Volumes` at 3D points sampled along projection rays.
Method signatures and docstrings:
- def __init__(self, volumes: Volumes, sample_mode: str='bilinear') -> None: Args: volumes: An instance of the `V... | Implement the Python class `VolumeSampler` described below.
Class description:
A module to sample a batch of volumes `Volumes` at 3D points sampled along projection rays.
Method signatures and docstrings:
- def __init__(self, volumes: Volumes, sample_mode: str='bilinear') -> None: Args: volumes: An instance of the `V... | a3d99cab6bf5eb69be8d5eb48895da6edd859565 | <|skeleton|>
class VolumeSampler:
"""A module to sample a batch of volumes `Volumes` at 3D points sampled along projection rays."""
def __init__(self, volumes: Volumes, sample_mode: str='bilinear') -> None:
"""Args: volumes: An instance of the `Volumes` class representing a batch of volumes that are be... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class VolumeSampler:
"""A module to sample a batch of volumes `Volumes` at 3D points sampled along projection rays."""
def __init__(self, volumes: Volumes, sample_mode: str='bilinear') -> None:
"""Args: volumes: An instance of the `Volumes` class representing a batch of volumes that are being rendered.... | the_stack_v2_python_sparse | pytorch3d/renderer/implicit/renderer.py | facebookresearch/pytorch3d | train | 7,964 |
5b82728ecdb8af261742df9cdf47c4237b1d2a6e | [
"assert resource and containerOsh\nosh = self._getBuilder().buildResource(resource)\nosh.setContainer(containerOsh)\nreturn osh",
"assert pdo and containerOsh\nosh = self._getBuilder().buildResourcePdo(pdo)\nosh.setContainer(containerOsh)\nreturn osh"
] | <|body_start_0|>
assert resource and containerOsh
osh = self._getBuilder().buildResource(resource)
osh.setContainer(containerOsh)
return osh
<|end_body_0|>
<|body_start_1|>
assert pdo and containerOsh
osh = self._getBuilder().buildResourcePdo(pdo)
osh.setContaine... | ResourceReporter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceReporter:
def reportResource(self, resource, containerOsh):
"""@types: Resource, ObjectStateHolder -> ObjectStateHolder"""
<|body_0|>
def reportResourcePdo(self, pdo, containerOsh):
"""@types: ResourceBuilder.Pdo, ObjectStateHolder -> ObjectStateHolder"""
... | stack_v2_sparse_classes_10k_train_008236 | 15,554 | no_license | [
{
"docstring": "@types: Resource, ObjectStateHolder -> ObjectStateHolder",
"name": "reportResource",
"signature": "def reportResource(self, resource, containerOsh)"
},
{
"docstring": "@types: ResourceBuilder.Pdo, ObjectStateHolder -> ObjectStateHolder",
"name": "reportResourcePdo",
"sign... | 2 | null | Implement the Python class `ResourceReporter` described below.
Class description:
Implement the ResourceReporter class.
Method signatures and docstrings:
- def reportResource(self, resource, containerOsh): @types: Resource, ObjectStateHolder -> ObjectStateHolder
- def reportResourcePdo(self, pdo, containerOsh): @type... | Implement the Python class `ResourceReporter` described below.
Class description:
Implement the ResourceReporter class.
Method signatures and docstrings:
- def reportResource(self, resource, containerOsh): @types: Resource, ObjectStateHolder -> ObjectStateHolder
- def reportResourcePdo(self, pdo, containerOsh): @type... | c431e809e8d0f82e1bca7e3429dd0245560b5680 | <|skeleton|>
class ResourceReporter:
def reportResource(self, resource, containerOsh):
"""@types: Resource, ObjectStateHolder -> ObjectStateHolder"""
<|body_0|>
def reportResourcePdo(self, pdo, containerOsh):
"""@types: ResourceBuilder.Pdo, ObjectStateHolder -> ObjectStateHolder"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ResourceReporter:
def reportResource(self, resource, containerOsh):
"""@types: Resource, ObjectStateHolder -> ObjectStateHolder"""
assert resource and containerOsh
osh = self._getBuilder().buildResource(resource)
osh.setContainer(containerOsh)
return osh
def report... | the_stack_v2_python_sparse | reference/ucmdb/discovery/ms_cluster.py | madmonkyang/cda-record | train | 0 | |
89f507bc0e205ae3fc33ab4b8d80c3be9424c360 | [
"super(MidasNet_StackedHourGlass, self).__init__()\nuse_pretrained = False if path else True\nself.pretrained, self.scratch = _make_encoder(backbone, features, use_pretrained)\nself.scratch.refinenet4 = ProgressiveUpsample(features, features // 2, 32)\nself.scratch.refinenet3 = ProgressiveUpsample(features + featur... | <|body_start_0|>
super(MidasNet_StackedHourGlass, self).__init__()
use_pretrained = False if path else True
self.pretrained, self.scratch = _make_encoder(backbone, features, use_pretrained)
self.scratch.refinenet4 = ProgressiveUpsample(features, features // 2, 32)
self.scratch.re... | Network for monocular depth estimation. | MidasNet_StackedHourGlass | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MidasNet_StackedHourGlass:
"""Network for monocular depth estimation."""
def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True):
"""Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defa... | stack_v2_sparse_classes_10k_train_008237 | 13,019 | permissive | [
{
"docstring": "Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defaults to 256. backbone (str, optional): Backbone network for encoder. Defaults to resnet50",
"name": "__init__",
"signature": "def __init__(self, path=None, features=... | 2 | null | Implement the Python class `MidasNet_StackedHourGlass` described below.
Class description:
Network for monocular depth estimation.
Method signatures and docstrings:
- def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True): Init. Args: path (str, optional): Path to saved model. Defaults to... | Implement the Python class `MidasNet_StackedHourGlass` described below.
Class description:
Network for monocular depth estimation.
Method signatures and docstrings:
- def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True): Init. Args: path (str, optional): Path to saved model. Defaults to... | a00c3619bf4042e446e1919087f0b09fe9fa3a65 | <|skeleton|>
class MidasNet_StackedHourGlass:
"""Network for monocular depth estimation."""
def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True):
"""Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defa... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MidasNet_StackedHourGlass:
"""Network for monocular depth estimation."""
def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True):
"""Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defaults to 256. ... | the_stack_v2_python_sparse | nasws/cnn/search_space/monodepth/models/midas_net.py | kcyu2014/nas-landmarkreg | train | 10 |
1db502042c35527194bcbcd7cb402454fdf77eaf | [
"self.savepath = savepath\nself.fig = fig\nself.ax = ax\nself.loss = loss",
"self.ax.plot(train)\nself.ax.plot(validation)\nself.ax.set_xlabel('epochs')\nif self.loss:\n self.ax.set_ylabel('loss')\nelse:\n self.ax.set_ylabel('accuracy')\nself.ax.legend(['train', 'validation'])",
"graph = 'loss' if self.lo... | <|body_start_0|>
self.savepath = savepath
self.fig = fig
self.ax = ax
self.loss = loss
<|end_body_0|>
<|body_start_1|>
self.ax.plot(train)
self.ax.plot(validation)
self.ax.set_xlabel('epochs')
if self.loss:
self.ax.set_ylabel('loss')
e... | Graph | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Graph:
def __init__(self, savepath: str, fig: matplotlib.figure.Figure, ax: matplotlib.figure.Axes, loss: bool=True):
"""represents a graph to show the evolution of the loss and accuracy during training. :param savepath: path to save the images. :param fig: matplotlib figure object. :par... | stack_v2_sparse_classes_10k_train_008238 | 1,544 | permissive | [
{
"docstring": "represents a graph to show the evolution of the loss and accuracy during training. :param savepath: path to save the images. :param fig: matplotlib figure object. :param ax: matplotlib axis object. :param loss: whether the graph is a loss one or not.",
"name": "__init__",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_train_002693 | Implement the Python class `Graph` described below.
Class description:
Implement the Graph class.
Method signatures and docstrings:
- def __init__(self, savepath: str, fig: matplotlib.figure.Figure, ax: matplotlib.figure.Axes, loss: bool=True): represents a graph to show the evolution of the loss and accuracy during ... | Implement the Python class `Graph` described below.
Class description:
Implement the Graph class.
Method signatures and docstrings:
- def __init__(self, savepath: str, fig: matplotlib.figure.Figure, ax: matplotlib.figure.Axes, loss: bool=True): represents a graph to show the evolution of the loss and accuracy during ... | 583e6868864582f081f18689124e74e9ca169f28 | <|skeleton|>
class Graph:
def __init__(self, savepath: str, fig: matplotlib.figure.Figure, ax: matplotlib.figure.Axes, loss: bool=True):
"""represents a graph to show the evolution of the loss and accuracy during training. :param savepath: path to save the images. :param fig: matplotlib figure object. :par... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Graph:
def __init__(self, savepath: str, fig: matplotlib.figure.Figure, ax: matplotlib.figure.Axes, loss: bool=True):
"""represents a graph to show the evolution of the loss and accuracy during training. :param savepath: path to save the images. :param fig: matplotlib figure object. :param ax: matplot... | the_stack_v2_python_sparse | utils/graphs.py | beaupreda/domain-networks | train | 1 | |
90482e06115bdef708c6f8059322cc3b17a63c66 | [
"try:\n metric = Metric.objects.get(name=name, project=project, sample=sample, rna=rna)\nexcept Metric.DoesNotExist:\n metric = self.create_and_symlink(name, project, sample, rna)\nreturn metric",
"res = []\nsample_names = [sample.name for sample in project.samples]\nmetric_info = dna_parse.get_metrics(proj... | <|body_start_0|>
try:
metric = Metric.objects.get(name=name, project=project, sample=sample, rna=rna)
except Metric.DoesNotExist:
metric = self.create_and_symlink(name, project, sample, rna)
return metric
<|end_body_0|>
<|body_start_1|>
res = []
sample_na... | Metrics are trickier than BAMs or VCFs because Metrics have an associated symlink that lives in the static/metrics directory. Whenever a metric is created, you have to make sure to create the symlink, and whenever a metric is deleted, you have to make sure to delete it. | MetricManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MetricManager:
"""Metrics are trickier than BAMs or VCFs because Metrics have an associated symlink that lives in the static/metrics directory. Whenever a metric is created, you have to make sure to create the symlink, and whenever a metric is deleted, you have to make sure to delete it."""
... | stack_v2_sparse_classes_10k_train_008239 | 27,913 | no_license | [
{
"docstring": "Overrides the standard get_or_create by calling create_or_symlink instead of vanilla create.",
"name": "get_or_create",
"signature": "def get_or_create(self, name, project, sample=None, rna=False)"
},
{
"docstring": "Uses the get_metrics function in the dna_parse toolkit script i... | 4 | stack_v2_sparse_classes_30k_train_001731 | Implement the Python class `MetricManager` described below.
Class description:
Metrics are trickier than BAMs or VCFs because Metrics have an associated symlink that lives in the static/metrics directory. Whenever a metric is created, you have to make sure to create the symlink, and whenever a metric is deleted, you h... | Implement the Python class `MetricManager` described below.
Class description:
Metrics are trickier than BAMs or VCFs because Metrics have an associated symlink that lives in the static/metrics directory. Whenever a metric is created, you have to make sure to create the symlink, and whenever a metric is deleted, you h... | c863c79c0cbc784834534a8ce894f9ff6b5ed4c1 | <|skeleton|>
class MetricManager:
"""Metrics are trickier than BAMs or VCFs because Metrics have an associated symlink that lives in the static/metrics directory. Whenever a metric is created, you have to make sure to create the symlink, and whenever a metric is deleted, you have to make sure to delete it."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MetricManager:
"""Metrics are trickier than BAMs or VCFs because Metrics have an associated symlink that lives in the static/metrics directory. Whenever a metric is created, you have to make sure to create the symlink, and whenever a metric is deleted, you have to make sure to delete it."""
def get_or_cr... | the_stack_v2_python_sparse | pbg/apps/analysis/models.py | mdschramm/dashboardngs | train | 0 |
be61de41076fae63ad04c0beee3b101c50e2ae5e | [
"def dfs(node):\n if node is None:\n return\n l = node.left\n r = node.right\n while l:\n l.next = r\n l = l.right\n r = r.left\n if node.left:\n dfs(node.left)\n dfs(node.right)\ndfs(root)\nreturn root",
"from collections import deque\nif root is None:\n ... | <|body_start_0|>
def dfs(node):
if node is None:
return
l = node.left
r = node.right
while l:
l.next = r
l = l.right
r = r.left
if node.left:
dfs(node.left)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def connect(self, root: 'Node') -> 'Node':
"""Recursive1, Time: O(n), Space: O(logn) for recursive stack"""
<|body_0|>
def connect(self, root: 'Node') -> 'Node':
"""BFS, Time: O(n), Space: O(logn)"""
<|body_1|>
def connect(self, root: 'Node') -... | stack_v2_sparse_classes_10k_train_008240 | 2,251 | no_license | [
{
"docstring": "Recursive1, Time: O(n), Space: O(logn) for recursive stack",
"name": "connect",
"signature": "def connect(self, root: 'Node') -> 'Node'"
},
{
"docstring": "BFS, Time: O(n), Space: O(logn)",
"name": "connect",
"signature": "def connect(self, root: 'Node') -> 'Node'"
},
... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def connect(self, root: 'Node') -> 'Node': Recursive1, Time: O(n), Space: O(logn) for recursive stack
- def connect(self, root: 'Node') -> 'Node': BFS, Time: O(n), Space: O(logn)... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def connect(self, root: 'Node') -> 'Node': Recursive1, Time: O(n), Space: O(logn) for recursive stack
- def connect(self, root: 'Node') -> 'Node': BFS, Time: O(n), Space: O(logn)... | 72136e3487d239f5b37e2d6393e034262a6bf599 | <|skeleton|>
class Solution:
def connect(self, root: 'Node') -> 'Node':
"""Recursive1, Time: O(n), Space: O(logn) for recursive stack"""
<|body_0|>
def connect(self, root: 'Node') -> 'Node':
"""BFS, Time: O(n), Space: O(logn)"""
<|body_1|>
def connect(self, root: 'Node') -... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def connect(self, root: 'Node') -> 'Node':
"""Recursive1, Time: O(n), Space: O(logn) for recursive stack"""
def dfs(node):
if node is None:
return
l = node.left
r = node.right
while l:
l.next = r
... | the_stack_v2_python_sparse | python/116-Populating Next Right Pointers in Each Node.py | cwza/leetcode | train | 0 | |
957b78e29cf69664f62a167ca39a226dfb80fadc | [
"self.M_min = -20\nself.M_max = -18\nself.a_min = -20\nself.a_max = 20\nself.b_min = -20\nself.b_max = 20\nif g_lim != None:\n self.g_min = g_lim[0]\n self.g_max = g_lim[1]",
"m = rng.rand()\nM = 1000.0 * rng.rand()\nM = dnest4.wrap(M, self.M_min, self.M_max)\na = 1000.0 * rng.rand()\na = dnest4.wrap(a, sel... | <|body_start_0|>
self.M_min = -20
self.M_max = -18
self.a_min = -20
self.a_max = 20
self.b_min = -20
self.b_max = 20
if g_lim != None:
self.g_min = g_lim[0]
self.g_max = g_lim[1]
<|end_body_0|>
<|body_start_1|>
m = rng.rand()
... | Specify the model in Python. | Model | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Model:
"""Specify the model in Python."""
def __init__(self, g_lim=None):
"""Parameter values *are not* stored inside the class"""
<|body_0|>
def from_prior(self):
"""Unlike in C++, this must *return* a numpy array of parameters."""
<|body_1|>
def pe... | stack_v2_sparse_classes_10k_train_008241 | 13,227 | permissive | [
{
"docstring": "Parameter values *are not* stored inside the class",
"name": "__init__",
"signature": "def __init__(self, g_lim=None)"
},
{
"docstring": "Unlike in C++, this must *return* a numpy array of parameters.",
"name": "from_prior",
"signature": "def from_prior(self)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_001785 | Implement the Python class `Model` described below.
Class description:
Specify the model in Python.
Method signatures and docstrings:
- def __init__(self, g_lim=None): Parameter values *are not* stored inside the class
- def from_prior(self): Unlike in C++, this must *return* a numpy array of parameters.
- def pertur... | Implement the Python class `Model` described below.
Class description:
Specify the model in Python.
Method signatures and docstrings:
- def __init__(self, g_lim=None): Parameter values *are not* stored inside the class
- def from_prior(self): Unlike in C++, this must *return* a numpy array of parameters.
- def pertur... | c355d18021467cf92546cf2fc9cb1d1abe59b8d8 | <|skeleton|>
class Model:
"""Specify the model in Python."""
def __init__(self, g_lim=None):
"""Parameter values *are not* stored inside the class"""
<|body_0|>
def from_prior(self):
"""Unlike in C++, this must *return* a numpy array of parameters."""
<|body_1|>
def pe... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Model:
"""Specify the model in Python."""
def __init__(self, g_lim=None):
"""Parameter values *are not* stored inside the class"""
self.M_min = -20
self.M_max = -18
self.a_min = -20
self.a_max = 20
self.b_min = -20
self.b_max = 20
if g_lim !... | the_stack_v2_python_sparse | zprev versions/Models_py_backup/Models backup/Bfactor.py | lefthandedroo/Cosmodels | train | 1 |
532567743785ac0a8dc4bb239079169e2a1f2c31 | [
"try:\n return import_module('nis')\nexcept ImportError:\n logger.error('The nis module is not available on your version of Python.')\n return None",
"if not username or not password:\n logger.error('Attempted to authenticate NIS user without supplying either a username or password parameter! This may... | <|body_start_0|>
try:
return import_module('nis')
except ImportError:
logger.error('The nis module is not available on your version of Python.')
return None
<|end_body_0|>
<|body_start_1|>
if not username or not password:
logger.error('Attempted t... | Authenticate against a user on an NIS server. | NISBackend | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NISBackend:
"""Authenticate against a user on an NIS server."""
def nis(self) -> Optional[ModuleType]:
"""The nis module, used for interacting with NIS. On first access, this will check if NIS is available, logging an error if missing. This safeguards against Python environments with... | stack_v2_sparse_classes_10k_train_008242 | 6,661 | permissive | [
{
"docstring": "The nis module, used for interacting with NIS. On first access, this will check if NIS is available, logging an error if missing. This safeguards against Python environments without NIS, and against versions of Python >= 3.13. Type: module",
"name": "nis",
"signature": "def nis(self) -> ... | 4 | null | Implement the Python class `NISBackend` described below.
Class description:
Authenticate against a user on an NIS server.
Method signatures and docstrings:
- def nis(self) -> Optional[ModuleType]: The nis module, used for interacting with NIS. On first access, this will check if NIS is available, logging an error if ... | Implement the Python class `NISBackend` described below.
Class description:
Authenticate against a user on an NIS server.
Method signatures and docstrings:
- def nis(self) -> Optional[ModuleType]: The nis module, used for interacting with NIS. On first access, this will check if NIS is available, logging an error if ... | c3a991f1e9d7682239a1ab0e8661cee6da01d537 | <|skeleton|>
class NISBackend:
"""Authenticate against a user on an NIS server."""
def nis(self) -> Optional[ModuleType]:
"""The nis module, used for interacting with NIS. On first access, this will check if NIS is available, logging an error if missing. This safeguards against Python environments with... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class NISBackend:
"""Authenticate against a user on an NIS server."""
def nis(self) -> Optional[ModuleType]:
"""The nis module, used for interacting with NIS. On first access, this will check if NIS is available, logging an error if missing. This safeguards against Python environments without NIS, and ... | the_stack_v2_python_sparse | reviewboard/accounts/backends/nis.py | reviewboard/reviewboard | train | 1,141 |
228d14886b3dc0ccde6ac02482c5c5d907547bc3 | [
"base_dtype = [('P0', (np.float32, 3), '!local', (0, 0, 0)), ('P1', (np.float32, 3), '!local', (0, 0, 0)), ('index', (np.float32, 1), '!local', 0), ('color', (np.float32, 4), 'shared', (0, 0, 0, 1)), ('linewidth', (np.float32, 1), 'shared', 1), ('antialias', (np.float32, 1), 'shared', 1)]\ndtype = base_dtype\nif us... | <|body_start_0|>
base_dtype = [('P0', (np.float32, 3), '!local', (0, 0, 0)), ('P1', (np.float32, 3), '!local', (0, 0, 0)), ('index', (np.float32, 1), '!local', 0), ('color', (np.float32, 4), 'shared', (0, 0, 0, 1)), ('linewidth', (np.float32, 1), 'shared', 1), ('antialias', (np.float32, 1), 'shared', 1)]
... | Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost. | AggSegmentCollection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AggSegmentCollection:
"""Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost."""
def __init__(self, user_dtype=None, trans... | stack_v2_sparse_classes_10k_train_008243 | 5,126 | permissive | [
{
"docstring": "Initialize the collection. Parameters ---------- user_dtype: list The base dtype can be completed (appended) by the used_dtype. It only make sense if user also provide vertex and/or fragment shaders transform: glumpy.Transforms The default vertex shader apply the supplied transform to the vertic... | 2 | stack_v2_sparse_classes_30k_train_003321 | Implement the Python class `AggSegmentCollection` described below.
Class description:
Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost.
Method si... | Implement the Python class `AggSegmentCollection` described below.
Class description:
Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost.
Method si... | 75408635bd46e48ff10939e308a71eafdaff35e8 | <|skeleton|>
class AggSegmentCollection:
"""Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost."""
def __init__(self, user_dtype=None, trans... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AggSegmentCollection:
"""Antigrain Geometry Segment Collection This collection provides antialiased and accurate segments with caps. It consume x2 more memory than regular lines and is a bit slower, but the quality of the output is worth the cost."""
def __init__(self, user_dtype=None, transform=None, vi... | the_stack_v2_python_sparse | glumpy/graphics/collections/agg_segment_collection.py | glumpy/glumpy | train | 1,228 |
fc41ac5dcf67b67ef7ff676a857b0707655ba648 | [
"if what == None and values == None:\n raise RuntimeWarning('Test convergence is set to ecutwfc')\n self.what = 'ecutwfc'\n self.values = np.arange(20, 80, 10)\nself.pwinput = pwinput\nself.what = what\nself.values = values\nself.Ndata = len(values)\nself.energies = None\nself.prefixInp = prefixInp\nself.p... | <|body_start_0|>
if what == None and values == None:
raise RuntimeWarning('Test convergence is set to ecutwfc')
self.what = 'ecutwfc'
self.values = np.arange(20, 80, 10)
self.pwinput = pwinput
self.what = what
self.values = values
self.Ndata = ... | A class for doing 1D convergence test. | ConvergenceTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvergenceTest:
"""A class for doing 1D convergence test."""
def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'):
"""`what` can be one of ecutwfc, kpts `values`"""
<|body_0|>
def run(self):
"""one-time run"""
... | stack_v2_sparse_classes_10k_train_008244 | 26,022 | no_license | [
{
"docstring": "`what` can be one of ecutwfc, kpts `values`",
"name": "__init__",
"signature": "def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_')"
},
{
"docstring": "one-time run",
"name": "run",
"signature": "def run(self)"
},
{
"do... | 4 | stack_v2_sparse_classes_30k_train_001223 | Implement the Python class `ConvergenceTest` described below.
Class description:
A class for doing 1D convergence test.
Method signatures and docstrings:
- def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'): `what` can be one of ecutwfc, kpts `values`
- def run(self): one... | Implement the Python class `ConvergenceTest` described below.
Class description:
A class for doing 1D convergence test.
Method signatures and docstrings:
- def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'): `what` can be one of ecutwfc, kpts `values`
- def run(self): one... | c173a8fd90134120e3e1fedddf4babeee8aed74e | <|skeleton|>
class ConvergenceTest:
"""A class for doing 1D convergence test."""
def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'):
"""`what` can be one of ecutwfc, kpts `values`"""
<|body_0|>
def run(self):
"""one-time run"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ConvergenceTest:
"""A class for doing 1D convergence test."""
def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'):
"""`what` can be one of ecutwfc, kpts `values`"""
if what == None and values == None:
raise RuntimeWarning('Test conv... | the_stack_v2_python_sparse | python_modules/qeManager_PWSCF.py | f-fathurrahman/IntroKomputasiMaterial | train | 0 |
667426322e8b20be95be8415c8b544312fa8f4f5 | [
"q = g.session.query(db.Role)\nauth_org_id = self.obtain_organization_id()\nargs = request.args\norg_filters = args.getlist('organization_id')\nif org_filters:\n if 'include_root' in args and args['include_root']:\n q = q.filter(or_(db.Role.organization_id.in_(org_filters), db.Role.organization_id == None... | <|body_start_0|>
q = g.session.query(db.Role)
auth_org_id = self.obtain_organization_id()
args = request.args
org_filters = args.getlist('organization_id')
if org_filters:
if 'include_root' in args and args['include_root']:
q = q.filter(or_(db.Role.org... | Roles | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Roles:
def get(self):
"""Returns a list of roles --- description: >- Returns a list of roles. Depending on your permission, you get all the roles at the server or only the roles that belong to your organization. ### Permission Table |Rule name|Scope|Operation|Assigned to node|Assigned to... | stack_v2_sparse_classes_10k_train_008245 | 26,260 | permissive | [
{
"docstring": "Returns a list of roles --- description: >- Returns a list of roles. Depending on your permission, you get all the roles at the server or only the roles that belong to your organization. ### Permission Table |Rule name|Scope|Operation|Assigned to node|Assigned to container| Description| |--|--|-... | 2 | stack_v2_sparse_classes_30k_train_003827 | Implement the Python class `Roles` described below.
Class description:
Implement the Roles class.
Method signatures and docstrings:
- def get(self): Returns a list of roles --- description: >- Returns a list of roles. Depending on your permission, you get all the roles at the server or only the roles that belong to y... | Implement the Python class `Roles` described below.
Class description:
Implement the Roles class.
Method signatures and docstrings:
- def get(self): Returns a list of roles --- description: >- Returns a list of roles. Depending on your permission, you get all the roles at the server or only the roles that belong to y... | b3ff6e91ac4caeaf31c12c20f73dfc61cfd9baca | <|skeleton|>
class Roles:
def get(self):
"""Returns a list of roles --- description: >- Returns a list of roles. Depending on your permission, you get all the roles at the server or only the roles that belong to your organization. ### Permission Table |Rule name|Scope|Operation|Assigned to node|Assigned to... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Roles:
def get(self):
"""Returns a list of roles --- description: >- Returns a list of roles. Depending on your permission, you get all the roles at the server or only the roles that belong to your organization. ### Permission Table |Rule name|Scope|Operation|Assigned to node|Assigned to container| De... | the_stack_v2_python_sparse | vantage6-server/vantage6/server/resource/role.py | vantage6/vantage6 | train | 15 | |
4e24d5ac9f01c88edc528b55b9773936cea181b6 | [
"def is_palindrone(i, j):\n return s[i:j + 1] == s[i:j + 1][::-1]\nn = len(s)\nresult = 0\nfor i in range(n):\n for j in range(i, n):\n if is_palindrone(i, j):\n result += 1\nreturn result",
"@lru_cache(None)\ndef is_palindrone(i, j):\n if j <= i:\n return True\n return s[i] =... | <|body_start_0|>
def is_palindrone(i, j):
return s[i:j + 1] == s[i:j + 1][::-1]
n = len(s)
result = 0
for i in range(n):
for j in range(i, n):
if is_palindrone(i, j):
result += 1
return result
<|end_body_0|>
<|body_star... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countSubstrings(self, s: str) -> int:
"""Brute Force, Time: O(n^3), Space: O(1)"""
<|body_0|>
def countSubstrings(self, s: str) -> int:
"""Top-Down DP for is_palindrone, Time: O(n^2), Space: O(n^2)"""
<|body_1|>
def countSubstrings(self, s:... | stack_v2_sparse_classes_10k_train_008246 | 1,729 | no_license | [
{
"docstring": "Brute Force, Time: O(n^3), Space: O(1)",
"name": "countSubstrings",
"signature": "def countSubstrings(self, s: str) -> int"
},
{
"docstring": "Top-Down DP for is_palindrone, Time: O(n^2), Space: O(n^2)",
"name": "countSubstrings",
"signature": "def countSubstrings(self, s... | 3 | stack_v2_sparse_classes_30k_train_004455 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countSubstrings(self, s: str) -> int: Brute Force, Time: O(n^3), Space: O(1)
- def countSubstrings(self, s: str) -> int: Top-Down DP for is_palindrone, Time: O(n^2), Space: O... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countSubstrings(self, s: str) -> int: Brute Force, Time: O(n^3), Space: O(1)
- def countSubstrings(self, s: str) -> int: Top-Down DP for is_palindrone, Time: O(n^2), Space: O... | 72136e3487d239f5b37e2d6393e034262a6bf599 | <|skeleton|>
class Solution:
def countSubstrings(self, s: str) -> int:
"""Brute Force, Time: O(n^3), Space: O(1)"""
<|body_0|>
def countSubstrings(self, s: str) -> int:
"""Top-Down DP for is_palindrone, Time: O(n^2), Space: O(n^2)"""
<|body_1|>
def countSubstrings(self, s:... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def countSubstrings(self, s: str) -> int:
"""Brute Force, Time: O(n^3), Space: O(1)"""
def is_palindrone(i, j):
return s[i:j + 1] == s[i:j + 1][::-1]
n = len(s)
result = 0
for i in range(n):
for j in range(i, n):
if is_p... | the_stack_v2_python_sparse | python/647-Palindromic Substrings.py | cwza/leetcode | train | 0 | |
8c0f71d5070d8640af8e6291bbfd1146b4a75300 | [
"if path != None:\n matrix = load_npz(path)\n with open(path + '_rows', 'rb') as f:\n rows = pickle.load(f)\n with open(path + '_columns', 'rb') as f:\n columns = pickle.load(f)\nrow2id = {r: i for i, r in enumerate(rows)}\nid2row = {i: r for i, r in enumerate(rows)}\ncolumn2id = {c: i for i,... | <|body_start_0|>
if path != None:
matrix = load_npz(path)
with open(path + '_rows', 'rb') as f:
rows = pickle.load(f)
with open(path + '_columns', 'rb') as f:
columns = pickle.load(f)
row2id = {r: i for i, r in enumerate(rows)}
... | Load and save Space objects. | Space | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Space:
"""Load and save Space objects."""
def __init__(self, path=None, matrix=csr_matrix([]), rows=[], columns=[]):
"""Can be either initialized (i) by providing a path, (ii) by providing a matrix, rows and columns, or (iii) by providing neither, then an empty instance is created `p... | stack_v2_sparse_classes_10k_train_008247 | 1,939 | no_license | [
{
"docstring": "Can be either initialized (i) by providing a path, (ii) by providing a matrix, rows and columns, or (iii) by providing neither, then an empty instance is created `path` should be path to a matrix in npz format, expects rows and columns in same folder at '[path]_rows' and '[path]_columns' `rows` ... | 2 | stack_v2_sparse_classes_30k_val_000043 | Implement the Python class `Space` described below.
Class description:
Load and save Space objects.
Method signatures and docstrings:
- def __init__(self, path=None, matrix=csr_matrix([]), rows=[], columns=[]): Can be either initialized (i) by providing a path, (ii) by providing a matrix, rows and columns, or (iii) b... | Implement the Python class `Space` described below.
Class description:
Load and save Space objects.
Method signatures and docstrings:
- def __init__(self, path=None, matrix=csr_matrix([]), rows=[], columns=[]): Can be either initialized (i) by providing a path, (ii) by providing a matrix, rows and columns, or (iii) b... | c25540943031538cbb569c4771c7b6cdefc9408c | <|skeleton|>
class Space:
"""Load and save Space objects."""
def __init__(self, path=None, matrix=csr_matrix([]), rows=[], columns=[]):
"""Can be either initialized (i) by providing a path, (ii) by providing a matrix, rows and columns, or (iii) by providing neither, then an empty instance is created `p... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Space:
"""Load and save Space objects."""
def __init__(self, path=None, matrix=csr_matrix([]), rows=[], columns=[]):
"""Can be either initialized (i) by providing a path, (ii) by providing a matrix, rows and columns, or (iii) by providing neither, then an empty instance is created `path` should b... | the_stack_v2_python_sparse | code/utils_.py | wabyking/unipd-DIACR-Ita | train | 0 |
2738a587cdebd824e5a118e99e4aefeb834e1e21 | [
"super(SEopt, self).__init__()\nif nonlinearity is None:\n nonlinearity = nn.Sigmoid\nself._reduced_planes = int(inplanes / reduction)\nself.avgpool = nn.AdaptiveAvgPool2d((1, 1))\nself.fc1 = nn.Linear(inplanes, self._reduced_planes)\nself.relu = nn.ReLU(inplace=True)\nself.fc2 = nn.Linear(self._reduced_planes, ... | <|body_start_0|>
super(SEopt, self).__init__()
if nonlinearity is None:
nonlinearity = nn.Sigmoid
self._reduced_planes = int(inplanes / reduction)
self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
self.fc1 = nn.Linear(inplanes, self._reduced_planes)
self.relu = nn.R... | squeeze-and-excitation optimization layer structure: - global pooling > fc > relu > fc > sigmoid > skip connect: scale notes: - global pooling = AdaptiveAvgPool((1,1)) -> reduces fmap dimensions to 1x1 - reduction ratio - 1st fc squeeze channels to c/r, where r = reduction ratio - 2nd fc recovers channels to c - scale ... | SEopt | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SEopt:
"""squeeze-and-excitation optimization layer structure: - global pooling > fc > relu > fc > sigmoid > skip connect: scale notes: - global pooling = AdaptiveAvgPool((1,1)) -> reduces fmap dimensions to 1x1 - reduction ratio - 1st fc squeeze channels to c/r, where r = reduction ratio - 2nd f... | stack_v2_sparse_classes_10k_train_008248 | 20,656 | no_license | [
{
"docstring": "Constructor Args: inplanes: (int) number of input channels reduction: (int) reduction ratio nonlinearity: (nn.Module) non-linearity used in SE module; default = nn.sigmoid",
"name": "__init__",
"signature": "def __init__(self, inplanes, reduction=8, nonlinearity=None)"
},
{
"docs... | 2 | stack_v2_sparse_classes_30k_train_005211 | Implement the Python class `SEopt` described below.
Class description:
squeeze-and-excitation optimization layer structure: - global pooling > fc > relu > fc > sigmoid > skip connect: scale notes: - global pooling = AdaptiveAvgPool((1,1)) -> reduces fmap dimensions to 1x1 - reduction ratio - 1st fc squeeze channels to... | Implement the Python class `SEopt` described below.
Class description:
squeeze-and-excitation optimization layer structure: - global pooling > fc > relu > fc > sigmoid > skip connect: scale notes: - global pooling = AdaptiveAvgPool((1,1)) -> reduces fmap dimensions to 1x1 - reduction ratio - 1st fc squeeze channels to... | a0c51824b9c4c458918ef9a40a925cd576137d75 | <|skeleton|>
class SEopt:
"""squeeze-and-excitation optimization layer structure: - global pooling > fc > relu > fc > sigmoid > skip connect: scale notes: - global pooling = AdaptiveAvgPool((1,1)) -> reduces fmap dimensions to 1x1 - reduction ratio - 1st fc squeeze channels to c/r, where r = reduction ratio - 2nd f... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SEopt:
"""squeeze-and-excitation optimization layer structure: - global pooling > fc > relu > fc > sigmoid > skip connect: scale notes: - global pooling = AdaptiveAvgPool((1,1)) -> reduces fmap dimensions to 1x1 - reduction ratio - 1st fc squeeze channels to c/r, where r = reduction ratio - 2nd fc recovers ch... | the_stack_v2_python_sparse | model/mnasnet.py | baihuaxie/ConvLab | train | 0 |
e8fe9e7e0ad0442326e31da4469c1a303711a6f1 | [
"max_sub_sum = max(nums)\nfor i in range(len(nums)):\n tmp = nums[i]\n for j in range(i + 1, len(nums)):\n if tmp + nums[j] > 0:\n tmp += nums[j]\n if max_sub_sum < tmp:\n max_sub_sum = tmp\n else:\n break\nreturn max_sub_sum",
"if not nums:\n ... | <|body_start_0|>
max_sub_sum = max(nums)
for i in range(len(nums)):
tmp = nums[i]
for j in range(i + 1, len(nums)):
if tmp + nums[j] > 0:
tmp += nums[j]
if max_sub_sum < tmp:
max_sub_sum = tmp
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray(self, nums: list):
"""时间复杂度为O(n^2) :param nums: :return:"""
<|body_0|>
def maxSubArray1(self, nums: list):
"""动态规划，时间复杂度为O(n) :param nums: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
max_sub_sum = max(nums)
... | stack_v2_sparse_classes_10k_train_008249 | 1,219 | no_license | [
{
"docstring": "时间复杂度为O(n^2) :param nums: :return:",
"name": "maxSubArray",
"signature": "def maxSubArray(self, nums: list)"
},
{
"docstring": "动态规划，时间复杂度为O(n) :param nums: :return:",
"name": "maxSubArray1",
"signature": "def maxSubArray1(self, nums: list)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005345 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(self, nums: list): 时间复杂度为O(n^2) :param nums: :return:
- def maxSubArray1(self, nums: list): 动态规划，时间复杂度为O(n) :param nums: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(self, nums: list): 时间复杂度为O(n^2) :param nums: :return:
- def maxSubArray1(self, nums: list): 动态规划，时间复杂度为O(n) :param nums: :return:
<|skeleton|>
class Solution:
... | 5f67368e72c376c1299b849e7a92e6d0cbd9ae55 | <|skeleton|>
class Solution:
def maxSubArray(self, nums: list):
"""时间复杂度为O(n^2) :param nums: :return:"""
<|body_0|>
def maxSubArray1(self, nums: list):
"""动态规划，时间复杂度为O(n) :param nums: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maxSubArray(self, nums: list):
"""时间复杂度为O(n^2) :param nums: :return:"""
max_sub_sum = max(nums)
for i in range(len(nums)):
tmp = nums[i]
for j in range(i + 1, len(nums)):
if tmp + nums[j] > 0:
tmp += nums[j]
... | the_stack_v2_python_sparse | 53-最大子序和/solution.py | BillyChao/leetcode | train | 5 | |
c1b3571c1db4c4ad2562061ebbd1de87d411d3e2 | [
"story_ids = topic.get_canonical_story_ids()\nexisting_story_ids = set(stories_dict.keys()).intersection(story_ids)\nexp_ids: List[str] = list(itertools.chain.from_iterable((stories_dict[story_id].story_contents.get_all_linked_exp_ids() for story_id in existing_story_ids)))\nexisting_exp_ids = set(exps_dict.keys())... | <|body_start_0|>
story_ids = topic.get_canonical_story_ids()
existing_story_ids = set(stories_dict.keys()).intersection(story_ids)
exp_ids: List[str] = list(itertools.chain.from_iterable((stories_dict[story_id].story_contents.get_all_linked_exp_ids() for story_id in existing_story_ids)))
... | Job that regenerates ExplorationOpportunitySummaryModel. NOTE: The DeleteExplorationOpportunitySummariesJob must be run before this job. | GenerateExplorationOpportunitySummariesJob | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GenerateExplorationOpportunitySummariesJob:
"""Job that regenerates ExplorationOpportunitySummaryModel. NOTE: The DeleteExplorationOpportunitySummariesJob must be run before this job."""
def _generate_opportunities_related_to_topic(topic: topic_domain.Topic, stories_dict: Dict[str, story_dom... | stack_v2_sparse_classes_10k_train_008250 | 17,468 | permissive | [
{
"docstring": "Generate opportunities related to a topic. Args: topic: Topic. Topic for which to generate the opportunities. stories_dict: dict(str, Story). All stories in the datastore, keyed by their ID. exps_dict: dict(str, Exploration). All explorations in the datastore, keyed by their ID. Returns: dict(st... | 2 | null | Implement the Python class `GenerateExplorationOpportunitySummariesJob` described below.
Class description:
Job that regenerates ExplorationOpportunitySummaryModel. NOTE: The DeleteExplorationOpportunitySummariesJob must be run before this job.
Method signatures and docstrings:
- def _generate_opportunities_related_t... | Implement the Python class `GenerateExplorationOpportunitySummariesJob` described below.
Class description:
Job that regenerates ExplorationOpportunitySummaryModel. NOTE: The DeleteExplorationOpportunitySummariesJob must be run before this job.
Method signatures and docstrings:
- def _generate_opportunities_related_t... | d16fdf23d790eafd63812bd7239532256e30a21d | <|skeleton|>
class GenerateExplorationOpportunitySummariesJob:
"""Job that regenerates ExplorationOpportunitySummaryModel. NOTE: The DeleteExplorationOpportunitySummariesJob must be run before this job."""
def _generate_opportunities_related_to_topic(topic: topic_domain.Topic, stories_dict: Dict[str, story_dom... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GenerateExplorationOpportunitySummariesJob:
"""Job that regenerates ExplorationOpportunitySummaryModel. NOTE: The DeleteExplorationOpportunitySummariesJob must be run before this job."""
def _generate_opportunities_related_to_topic(topic: topic_domain.Topic, stories_dict: Dict[str, story_domain.Story], e... | the_stack_v2_python_sparse | core/jobs/batch_jobs/opportunity_management_jobs.py | oppia/oppia | train | 6,172 |
86606bc769437f84b37de8eb1be2a52e0111826a | [
"for key in inconfigs:\n if not key.startswith('text search configuration '):\n raise KeyError('Unrecognized object type: %s' % key)\n tsc = key[26:]\n self[schema.name, tsc] = config = TSConfiguration(schema=schema.name, name=tsc)\n inconfig = inconfigs[key]\n if inconfig:\n for attr, ... | <|body_start_0|>
for key in inconfigs:
if not key.startswith('text search configuration '):
raise KeyError('Unrecognized object type: %s' % key)
tsc = key[26:]
self[schema.name, tsc] = config = TSConfiguration(schema=schema.name, name=tsc)
inconfig... | The collection of text search configurations in a database | TSConfigurationDict | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TSConfigurationDict:
"""The collection of text search configurations in a database"""
def from_map(self, schema, inconfigs):
"""Initialize the dictionary of configs by examining the input map :param schema: schema owning the configurations :param inconfigs: input YAML map defining th... | stack_v2_sparse_classes_10k_train_008251 | 15,925 | permissive | [
{
"docstring": "Initialize the dictionary of configs by examining the input map :param schema: schema owning the configurations :param inconfigs: input YAML map defining the configurations",
"name": "from_map",
"signature": "def from_map(self, schema, inconfigs)"
},
{
"docstring": "Generate SQL ... | 2 | stack_v2_sparse_classes_30k_train_005161 | Implement the Python class `TSConfigurationDict` described below.
Class description:
The collection of text search configurations in a database
Method signatures and docstrings:
- def from_map(self, schema, inconfigs): Initialize the dictionary of configs by examining the input map :param schema: schema owning the co... | Implement the Python class `TSConfigurationDict` described below.
Class description:
The collection of text search configurations in a database
Method signatures and docstrings:
- def from_map(self, schema, inconfigs): Initialize the dictionary of configs by examining the input map :param schema: schema owning the co... | 0133f3bc522890e0564d27de6791824acb4d2773 | <|skeleton|>
class TSConfigurationDict:
"""The collection of text search configurations in a database"""
def from_map(self, schema, inconfigs):
"""Initialize the dictionary of configs by examining the input map :param schema: schema owning the configurations :param inconfigs: input YAML map defining th... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TSConfigurationDict:
"""The collection of text search configurations in a database"""
def from_map(self, schema, inconfigs):
"""Initialize the dictionary of configs by examining the input map :param schema: schema owning the configurations :param inconfigs: input YAML map defining the configurati... | the_stack_v2_python_sparse | pyrseas/dbobject/textsearch.py | vayerx/Pyrseas | train | 1 |
bbcdc1844d97f559edeb426e83156f6881993669 | [
"self.GET_PARSER.add_argument('id', required=True, type=int, location='args')\nargs = self.GET_PARSER.parse_args()\nid_ = args['id']\npassenger = common.query_single_by_id(models.Passenger, id_)\nif passenger is None:\n return ({'error': 'not found'}, 404)\nreturn marshal(passenger, PASSENGER_STRUCTURE)",
"sel... | <|body_start_0|>
self.GET_PARSER.add_argument('id', required=True, type=int, location='args')
args = self.GET_PARSER.parse_args()
id_ = args['id']
passenger = common.query_single_by_id(models.Passenger, id_)
if passenger is None:
return ({'error': 'not found'}, 404)
... | PassengerResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PassengerResource:
def get(self):
"""获取拼车的人的信息 API请求地址: /interaction/api/v2/passenger 方法: GET 参数: 必选参数: id 乘客的id"""
<|body_0|>
def post(self):
"""加入某个拼车 API请求地址: /interaction/api/v2/passenger 方法: POST 参数: 参数位置为form 必选参数: carpool_id 已经存在的某个拼车id uid 用户id token 用户token ... | stack_v2_sparse_classes_10k_train_008252 | 7,122 | no_license | [
{
"docstring": "获取拼车的人的信息 API请求地址: /interaction/api/v2/passenger 方法: GET 参数: 必选参数: id 乘客的id",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "加入某个拼车 API请求地址: /interaction/api/v2/passenger 方法: POST 参数: 参数位置为form 必选参数: carpool_id 已经存在的某个拼车id uid 用户id token 用户token contact 用户自己的联系信息,... | 4 | stack_v2_sparse_classes_30k_train_004276 | Implement the Python class `PassengerResource` described below.
Class description:
Implement the PassengerResource class.
Method signatures and docstrings:
- def get(self): 获取拼车的人的信息 API请求地址: /interaction/api/v2/passenger 方法: GET 参数: 必选参数: id 乘客的id
- def post(self): 加入某个拼车 API请求地址: /interaction/api/v2/passenger 方法: P... | Implement the Python class `PassengerResource` described below.
Class description:
Implement the PassengerResource class.
Method signatures and docstrings:
- def get(self): 获取拼车的人的信息 API请求地址: /interaction/api/v2/passenger 方法: GET 参数: 必选参数: id 乘客的id
- def post(self): 加入某个拼车 API请求地址: /interaction/api/v2/passenger 方法: P... | 076f2a6ed334f8a96b741d0c5c9d268f3716c8b3 | <|skeleton|>
class PassengerResource:
def get(self):
"""获取拼车的人的信息 API请求地址: /interaction/api/v2/passenger 方法: GET 参数: 必选参数: id 乘客的id"""
<|body_0|>
def post(self):
"""加入某个拼车 API请求地址: /interaction/api/v2/passenger 方法: POST 参数: 参数位置为form 必选参数: carpool_id 已经存在的某个拼车id uid 用户id token 用户token ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PassengerResource:
def get(self):
"""获取拼车的人的信息 API请求地址: /interaction/api/v2/passenger 方法: GET 参数: 必选参数: id 乘客的id"""
self.GET_PARSER.add_argument('id', required=True, type=int, location='args')
args = self.GET_PARSER.parse_args()
id_ = args['id']
passenger = common.query... | the_stack_v2_python_sparse | app/mod_interaction/resources/PassengerResource.py | xiaofud/syllabus_backend | train | 0 | |
1dde1989edbc3ec619c4edf24ea611f8632a3b63 | [
"super().__init__()\nself.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, drop_rate)\nself.decoder = Decoder(N, dm, h, hidden, target_vocab, max_seq_input, drop_rate)\nself.linear = tf.keras.layers.Dense(units=target_vocab)",
"out1, _ = self.mha(x, x, x, mask)\nout1 = self.dropout1(out1, training=... | <|body_start_0|>
super().__init__()
self.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, drop_rate)
self.decoder = Decoder(N, dm, h, hidden, target_vocab, max_seq_input, drop_rate)
self.linear = tf.keras.layers.Dense(units=target_vocab)
<|end_body_0|>
<|body_start_1|>
... | DecoderBlock class | Transformer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transformer:
"""DecoderBlock class"""
def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1):
"""Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units... | stack_v2_sparse_classes_10k_train_008253 | 1,800 | no_license | [
{
"docstring": "Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units in the fully connected layer. drop_rate: (float) the dropout rate.",
"name": "__init__",
"signature": "def __init__(self, N, dm, h, hidden, input_vocab, ta... | 2 | stack_v2_sparse_classes_30k_train_004778 | Implement the Python class `Transformer` described below.
Class description:
DecoderBlock class
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the ... | Implement the Python class `Transformer` described below.
Class description:
DecoderBlock class
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the ... | 75274394adb52d740f6cd4000cc00bbde44b9b72 | <|skeleton|>
class Transformer:
"""DecoderBlock class"""
def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1):
"""Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Transformer:
"""DecoderBlock class"""
def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1):
"""Initializer. Args: dm: (int) the dimensionality of the model. h: (int) the number of heads. hidden: (int) the number of hidden units in the fully... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/11-transformer.py | jdarangop/holbertonschool-machine_learning | train | 2 |
788b4e5e41538470f9af98cb2da9c30eab75a6cc | [
"self.scraper_class = scraper_class\nself.output_errors_only = output_errors_only\nif checks:\n self.checks = checks\nelse:\n self.checks = (CheckBaseURL,)",
"errors = 0\nfor check_class in self.checks:\n if check_class(self.scraper_class).run_check():\n errors += 1"
] | <|body_start_0|>
self.scraper_class = scraper_class
self.output_errors_only = output_errors_only
if checks:
self.checks = checks
else:
self.checks = (CheckBaseURL,)
<|end_body_0|>
<|body_start_1|>
errors = 0
for check_class in self.checks:
... | ScraperChecker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScraperChecker:
def __init__(self, scraper_class, checks=None, output_errors_only=True):
"""A class for checking the quality of a Scraper Class. :param output_errors_only: (optional) Boolean. :param scraper_class: A :class:`ScraperBase` subclass."""
<|body_0|>
def run_checks... | stack_v2_sparse_classes_10k_train_008254 | 1,650 | permissive | [
{
"docstring": "A class for checking the quality of a Scraper Class. :param output_errors_only: (optional) Boolean. :param scraper_class: A :class:`ScraperBase` subclass.",
"name": "__init__",
"signature": "def __init__(self, scraper_class, checks=None, output_errors_only=True)"
},
{
"docstring"... | 2 | stack_v2_sparse_classes_30k_train_003879 | Implement the Python class `ScraperChecker` described below.
Class description:
Implement the ScraperChecker class.
Method signatures and docstrings:
- def __init__(self, scraper_class, checks=None, output_errors_only=True): A class for checking the quality of a Scraper Class. :param output_errors_only: (optional) Bo... | Implement the Python class `ScraperChecker` described below.
Class description:
Implement the ScraperChecker class.
Method signatures and docstrings:
- def __init__(self, scraper_class, checks=None, output_errors_only=True): A class for checking the quality of a Scraper Class. :param output_errors_only: (optional) Bo... | 13d9c9d11cf4fc3afc4ae52ac439ee4fec926ba3 | <|skeleton|>
class ScraperChecker:
def __init__(self, scraper_class, checks=None, output_errors_only=True):
"""A class for checking the quality of a Scraper Class. :param output_errors_only: (optional) Boolean. :param scraper_class: A :class:`ScraperBase` subclass."""
<|body_0|>
def run_checks... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ScraperChecker:
def __init__(self, scraper_class, checks=None, output_errors_only=True):
"""A class for checking the quality of a Scraper Class. :param output_errors_only: (optional) Boolean. :param scraper_class: A :class:`ScraperBase` subclass."""
self.scraper_class = scraper_class
s... | the_stack_v2_python_sparse | lgsf/scrapers/checks.py | DemocracyClub/LGSF | train | 4 | |
76bd06a35b90e91d728cbef2fcbb340d055c44e1 | [
"if roles.Roles.is_super_admin():\n exit_url = '%s?tab=google_service_account' % handler.LINK_URL\nelse:\n exit_url = cls.request.referer\nrest_url = GoogleServiceAccountRESTHandler.URI\ntemplate_values = {}\ntemplate_values['page_title'] = handler.format_title('Google Service Accounts')\ncontent = safe_dom.N... | <|body_start_0|>
if roles.Roles.is_super_admin():
exit_url = '%s?tab=google_service_account' % handler.LINK_URL
else:
exit_url = cls.request.referer
rest_url = GoogleServiceAccountRESTHandler.URI
template_values = {}
template_values['page_title'] = handler... | GoogleServiceAccountBaseAdminHandler | [
"CC-BY-3.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleServiceAccountBaseAdminHandler:
def get_google_service_account(cls, handler):
"""Displays list of service account settings."""
<|body_0|>
def get_edit_google_service_account(cls, handler):
"""Handles 'get_add_google_service_account_settings' action and renders ... | stack_v2_sparse_classes_10k_train_008255 | 13,602 | permissive | [
{
"docstring": "Displays list of service account settings.",
"name": "get_google_service_account",
"signature": "def get_google_service_account(cls, handler)"
},
{
"docstring": "Handles 'get_add_google_service_account_settings' action and renders new course entry editor.",
"name": "get_edit_... | 3 | stack_v2_sparse_classes_30k_train_002141 | Implement the Python class `GoogleServiceAccountBaseAdminHandler` described below.
Class description:
Implement the GoogleServiceAccountBaseAdminHandler class.
Method signatures and docstrings:
- def get_google_service_account(cls, handler): Displays list of service account settings.
- def get_edit_google_service_acc... | Implement the Python class `GoogleServiceAccountBaseAdminHandler` described below.
Class description:
Implement the GoogleServiceAccountBaseAdminHandler class.
Method signatures and docstrings:
- def get_google_service_account(cls, handler): Displays list of service account settings.
- def get_edit_google_service_acc... | 2bca9d64499e160b2da9bed6e97fcda712feec72 | <|skeleton|>
class GoogleServiceAccountBaseAdminHandler:
def get_google_service_account(cls, handler):
"""Displays list of service account settings."""
<|body_0|>
def get_edit_google_service_account(cls, handler):
"""Handles 'get_add_google_service_account_settings' action and renders ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GoogleServiceAccountBaseAdminHandler:
def get_google_service_account(cls, handler):
"""Displays list of service account settings."""
if roles.Roles.is_super_admin():
exit_url = '%s?tab=google_service_account' % handler.LINK_URL
else:
exit_url = cls.request.refer... | the_stack_v2_python_sparse | coursebuilder/modules/google_service_account/settings.py | RavinderSinghPB/seek | train | 0 | |
0f84d908c2fb2461c5b4ab6020352ada431397a0 | [
"res = super(account_voucher, self).proforma_voucher()\npurchase_rs = self.purchase_id\nif purchase_rs:\n purchase_rs.write({'check_paid': True})\n purchase_rs.picking_ids.write({'payment_lock': False})\nreturn res",
"partner_type_obj = self.env['res.partner.purchase.type']\nsearch_partner_ids = []\nnew_par... | <|body_start_0|>
res = super(account_voucher, self).proforma_voucher()
purchase_rs = self.purchase_id
if purchase_rs:
purchase_rs.write({'check_paid': True})
purchase_rs.picking_ids.write({'payment_lock': False})
return res
<|end_body_0|>
<|body_start_1|>
... | account_voucher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class account_voucher:
def proforma_voucher(self):
"""Surcharge pour prendre en compte la libération de l'achat et des pickings en cas de validation du paiement"""
<|body_0|>
def recompute_voucher_lines(self, partner_ids, journal_id, price, currency_id, ttype, date):
"""Su... | stack_v2_sparse_classes_10k_train_008256 | 5,566 | no_license | [
{
"docstring": "Surcharge pour prendre en compte la libération de l'achat et des pickings en cas de validation du paiement",
"name": "proforma_voucher",
"signature": "def proforma_voucher(self)"
},
{
"docstring": "Surcharge pour prendre en compte les partenaires facturés du partenaire payeur",
... | 2 | null | Implement the Python class `account_voucher` described below.
Class description:
Implement the account_voucher class.
Method signatures and docstrings:
- def proforma_voucher(self): Surcharge pour prendre en compte la libération de l'achat et des pickings en cas de validation du paiement
- def recompute_voucher_lines... | Implement the Python class `account_voucher` described below.
Class description:
Implement the account_voucher class.
Method signatures and docstrings:
- def proforma_voucher(self): Surcharge pour prendre en compte la libération de l'achat et des pickings en cas de validation du paiement
- def recompute_voucher_lines... | eb394e1f79ba1995da2dcd81adfdd511c22caff9 | <|skeleton|>
class account_voucher:
def proforma_voucher(self):
"""Surcharge pour prendre en compte la libération de l'achat et des pickings en cas de validation du paiement"""
<|body_0|>
def recompute_voucher_lines(self, partner_ids, journal_id, price, currency_id, ttype, date):
"""Su... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class account_voucher:
def proforma_voucher(self):
"""Surcharge pour prendre en compte la libération de l'achat et des pickings en cas de validation du paiement"""
res = super(account_voucher, self).proforma_voucher()
purchase_rs = self.purchase_id
if purchase_rs:
purchas... | the_stack_v2_python_sparse | OpenPROD/openprod-addons/purchase/account.py | kazacube-mziouadi/ceci | train | 0 | |
826631e93b6d1d4f98441237767f5aaf2ba87972 | [
"expected_checksum = database.Database.ChecksumForText(hwid_config_contents)\ncontents_analyzer_inst = contents_analyzer.ContentsAnalyzer(hwid_config_contents, expected_checksum, None)\nreport = contents_analyzer_inst.ValidateIntegrity()\nif report.errors:\n raise ValidationError(report.errors)",
"expected_che... | <|body_start_0|>
expected_checksum = database.Database.ChecksumForText(hwid_config_contents)
contents_analyzer_inst = contents_analyzer.ContentsAnalyzer(hwid_config_contents, expected_checksum, None)
report = contents_analyzer_inst.ValidateIntegrity()
if report.errors:
raise ... | Validates HWID configs. | HwidValidator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HwidValidator:
"""Validates HWID configs."""
def Validate(self, hwid_config_contents):
"""Validates a HWID config. Uses strict validation (i.e. includes checksum validation). Args: hwid_config_contents: the current HWID config as a string."""
<|body_0|>
def ValidateChang... | stack_v2_sparse_classes_10k_train_008257 | 3,013 | permissive | [
{
"docstring": "Validates a HWID config. Uses strict validation (i.e. includes checksum validation). Args: hwid_config_contents: the current HWID config as a string.",
"name": "Validate",
"signature": "def Validate(self, hwid_config_contents)"
},
{
"docstring": "Validates a HWID config change. T... | 2 | null | Implement the Python class `HwidValidator` described below.
Class description:
Validates HWID configs.
Method signatures and docstrings:
- def Validate(self, hwid_config_contents): Validates a HWID config. Uses strict validation (i.e. includes checksum validation). Args: hwid_config_contents: the current HWID config ... | Implement the Python class `HwidValidator` described below.
Class description:
Validates HWID configs.
Method signatures and docstrings:
- def Validate(self, hwid_config_contents): Validates a HWID config. Uses strict validation (i.e. includes checksum validation). Args: hwid_config_contents: the current HWID config ... | a1b0fccd68987d8cd9c89710adc3c04b868347ec | <|skeleton|>
class HwidValidator:
"""Validates HWID configs."""
def Validate(self, hwid_config_contents):
"""Validates a HWID config. Uses strict validation (i.e. includes checksum validation). Args: hwid_config_contents: the current HWID config as a string."""
<|body_0|>
def ValidateChang... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class HwidValidator:
"""Validates HWID configs."""
def Validate(self, hwid_config_contents):
"""Validates a HWID config. Uses strict validation (i.e. includes checksum validation). Args: hwid_config_contents: the current HWID config as a string."""
expected_checksum = database.Database.Checksum... | the_stack_v2_python_sparse | py/hwid/service/appengine/hwid_validator.py | bridder/factory | train | 0 |
52d75c527b4bad17d5c2a2957a4a417fb031c775 | [
"if num_objectives not in (2, 3, 4):\n raise UnsupportedError('GMM only currently supports 2 to 4 objectives.')\nself._ref_point = [-0.2338, -0.2211]\nif num_objectives > 2:\n self._ref_point.append(-0.518)\nif num_objectives > 3:\n self._ref_point.append(-0.1866)\nself.num_objectives = num_objectives\nsup... | <|body_start_0|>
if num_objectives not in (2, 3, 4):
raise UnsupportedError('GMM only currently supports 2 to 4 objectives.')
self._ref_point = [-0.2338, -0.2211]
if num_objectives > 2:
self._ref_point.append(-0.518)
if num_objectives > 3:
self._ref_po... | A test problem where each objective is a Gaussian mixture model. This implementation is adapted from the single objective version (proposed by [Frohlich2020]_) at https://github.com/boschresearch/NoisyInputEntropySearch/blob/master/ core/util/objectives.py. See [Daulton2022]_ for details on this multi-objective problem... | GMM | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GMM:
"""A test problem where each objective is a Gaussian mixture model. This implementation is adapted from the single objective version (proposed by [Frohlich2020]_) at https://github.com/boschresearch/NoisyInputEntropySearch/blob/master/ core/util/objectives.py. See [Daulton2022]_ for details ... | stack_v2_sparse_classes_10k_train_008258 | 49,438 | permissive | [
{
"docstring": "Args: noise_std: Standard deviation of the observation noise. negate: If True, negate the objectives. num_objectives: The number of objectives.",
"name": "__init__",
"signature": "def __init__(self, noise_std: Optional[float]=None, negate: bool=False, num_objectives: int=2) -> None"
},... | 2 | stack_v2_sparse_classes_30k_train_001226 | Implement the Python class `GMM` described below.
Class description:
A test problem where each objective is a Gaussian mixture model. This implementation is adapted from the single objective version (proposed by [Frohlich2020]_) at https://github.com/boschresearch/NoisyInputEntropySearch/blob/master/ core/util/objecti... | Implement the Python class `GMM` described below.
Class description:
A test problem where each objective is a Gaussian mixture model. This implementation is adapted from the single objective version (proposed by [Frohlich2020]_) at https://github.com/boschresearch/NoisyInputEntropySearch/blob/master/ core/util/objecti... | 4cc5ed59b2e8a9c780f786830c548e05cc74d53c | <|skeleton|>
class GMM:
"""A test problem where each objective is a Gaussian mixture model. This implementation is adapted from the single objective version (proposed by [Frohlich2020]_) at https://github.com/boschresearch/NoisyInputEntropySearch/blob/master/ core/util/objectives.py. See [Daulton2022]_ for details ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GMM:
"""A test problem where each objective is a Gaussian mixture model. This implementation is adapted from the single objective version (proposed by [Frohlich2020]_) at https://github.com/boschresearch/NoisyInputEntropySearch/blob/master/ core/util/objectives.py. See [Daulton2022]_ for details on this multi... | the_stack_v2_python_sparse | botorch/test_functions/multi_objective.py | pytorch/botorch | train | 2,891 |
138f492e01bd023a546bc95d483ef91dce6024ef | [
"self.input_dict = input_dict\nself.output_dict = output_dict\nself.project_name = project_name",
"if calculate_costs_input_dict['num_turbines'] > 10:\n calculate_costs_output_dict['substation_cost_usd'] = 11652 * (calculate_costs_input_dict['interconnect_voltage_kV'] + calculate_costs_input_dict['project_size... | <|body_start_0|>
self.input_dict = input_dict
self.output_dict = output_dict
self.project_name = project_name
<|end_body_0|>
<|body_start_1|>
if calculate_costs_input_dict['num_turbines'] > 10:
calculate_costs_output_dict['substation_cost_usd'] = 11652 * (calculate_costs_inp... | **SubstationCost.py** - Created by Annika Eberle and Owen Roberts on Dec. 17, 2018 - Refactored by Parangat Bhaskar and Alicia Key on June 3, 2019 Calculates the costs associated with substations for land-based wind projects *(module is currently based on curve fit of empirical data)* Get project size (project_size_meg... | SubstationCost | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubstationCost:
"""**SubstationCost.py** - Created by Annika Eberle and Owen Roberts on Dec. 17, 2018 - Refactored by Parangat Bhaskar and Alicia Key on June 3, 2019 Calculates the costs associated with substations for land-based wind projects *(module is currently based on curve fit of empirical... | stack_v2_sparse_classes_10k_train_008259 | 5,371 | permissive | [
{
"docstring": "Parameters ---------- input_dict : dict The input dictionary with key value pairs described in the class documentation output_dict : dict The output dictionary with key value pairs as found on the output documentation.",
"name": "__init__",
"signature": "def __init__(self, input_dict, ou... | 4 | stack_v2_sparse_classes_30k_train_006461 | Implement the Python class `SubstationCost` described below.
Class description:
**SubstationCost.py** - Created by Annika Eberle and Owen Roberts on Dec. 17, 2018 - Refactored by Parangat Bhaskar and Alicia Key on June 3, 2019 Calculates the costs associated with substations for land-based wind projects *(module is cu... | Implement the Python class `SubstationCost` described below.
Class description:
**SubstationCost.py** - Created by Annika Eberle and Owen Roberts on Dec. 17, 2018 - Refactored by Parangat Bhaskar and Alicia Key on June 3, 2019 Calculates the costs associated with substations for land-based wind projects *(module is cu... | d7270ebe1c554293a9d36730d67ab555c071cb17 | <|skeleton|>
class SubstationCost:
"""**SubstationCost.py** - Created by Annika Eberle and Owen Roberts on Dec. 17, 2018 - Refactored by Parangat Bhaskar and Alicia Key on June 3, 2019 Calculates the costs associated with substations for land-based wind projects *(module is currently based on curve fit of empirical... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SubstationCost:
"""**SubstationCost.py** - Created by Annika Eberle and Owen Roberts on Dec. 17, 2018 - Refactored by Parangat Bhaskar and Alicia Key on June 3, 2019 Calculates the costs associated with substations for land-based wind projects *(module is currently based on curve fit of empirical data)* Get p... | the_stack_v2_python_sparse | wisdem/landbosse/model/SubstationCost.py | WISDEM/WISDEM | train | 120 |
01cd4e1db7e8ae99266325317bf43a283b5a3c59 | [
"self._client = None\npool = redis.ConnectionPool\nif blocking_pool:\n pool = redis.BlockingConnectionPool\nself.pool = pool(host=host, port=port, db=db, **kwargs)",
"if self._client is None:\n self._client = redis.Redis(connection_pool=self.pool)\nreturn self._client"
] | <|body_start_0|>
self._client = None
pool = redis.ConnectionPool
if blocking_pool:
pool = redis.BlockingConnectionPool
self.pool = pool(host=host, port=port, db=db, **kwargs)
<|end_body_0|>
<|body_start_1|>
if self._client is None:
self._client = redis.Re... | A shared REDIS client connection using a Connection Pool. Initialize a single shared redis.connection.ConnectionPool. For a full list of kwargs see https://redis-py.readthedocs.io/en/latest/#redis.Connection. Args: host (str, optional): The REDIS host. Defaults to localhost. port (int, optional): The REDIS port. Defaul... | RedisClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RedisClient:
"""A shared REDIS client connection using a Connection Pool. Initialize a single shared redis.connection.ConnectionPool. For a full list of kwargs see https://redis-py.readthedocs.io/en/latest/#redis.Connection. Args: host (str, optional): The REDIS host. Defaults to localhost. port ... | stack_v2_sparse_classes_10k_train_008260 | 1,504 | permissive | [
{
"docstring": "Initialize class properties",
"name": "__init__",
"signature": "def __init__(self, host='localhost', port=6379, db=0, blocking_pool=False, **kwargs)"
},
{
"docstring": "Return an instance of redis.client.Redis.",
"name": "client",
"signature": "def client(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002187 | Implement the Python class `RedisClient` described below.
Class description:
A shared REDIS client connection using a Connection Pool. Initialize a single shared redis.connection.ConnectionPool. For a full list of kwargs see https://redis-py.readthedocs.io/en/latest/#redis.Connection. Args: host (str, optional): The R... | Implement the Python class `RedisClient` described below.
Class description:
A shared REDIS client connection using a Connection Pool. Initialize a single shared redis.connection.ConnectionPool. For a full list of kwargs see https://redis-py.readthedocs.io/en/latest/#redis.Connection. Args: host (str, optional): The R... | 7cf04fec048fadc71ff851970045b8a587269ccf | <|skeleton|>
class RedisClient:
"""A shared REDIS client connection using a Connection Pool. Initialize a single shared redis.connection.ConnectionPool. For a full list of kwargs see https://redis-py.readthedocs.io/en/latest/#redis.Connection. Args: host (str, optional): The REDIS host. Defaults to localhost. port ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RedisClient:
"""A shared REDIS client connection using a Connection Pool. Initialize a single shared redis.connection.ConnectionPool. For a full list of kwargs see https://redis-py.readthedocs.io/en/latest/#redis.Connection. Args: host (str, optional): The REDIS host. Defaults to localhost. port (int, optiona... | the_stack_v2_python_sparse | tcex/key_value_store/redis_client.py | TpyoKnig/tcex | train | 0 |
4c423dd8d29685f1f48ab7c9bbf263c25c054ef8 | [
"ans = []\nif not intervals:\n return ans\nit = iter(sorted(intervals))\ncurr = next(it)\nfor x in it:\n if x[0] <= curr[1]:\n if x[1] > curr[1]:\n curr[1] = x[1]\n else:\n ans.append(curr)\n curr = x\nans.append(curr)\nreturn ans",
"visited = set()\nans = []\nfor i, x in ... | <|body_start_0|>
ans = []
if not intervals:
return ans
it = iter(sorted(intervals))
curr = next(it)
for x in it:
if x[0] <= curr[1]:
if x[1] > curr[1]:
curr[1] = x[1]
else:
ans.append(curr)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge_v1(self, intervals: List[List[int]]) -> List[List[int]]:
"""Sort. A simple method will take O(N^2), comparing each element with the other. If we sort the intervals first, it will be O(N log(N)) + O(N). Here we use the built-in sort method. Alternatively, we may write ... | stack_v2_sparse_classes_10k_train_008261 | 2,640 | no_license | [
{
"docstring": "Sort. A simple method will take O(N^2), comparing each element with the other. If we sort the intervals first, it will be O(N log(N)) + O(N). Here we use the built-in sort method. Alternatively, we may write our own sort method (like merge sort) and make some modifications.",
"name": "merge_... | 2 | stack_v2_sparse_classes_30k_train_001565 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge_v1(self, intervals: List[List[int]]) -> List[List[int]]: Sort. A simple method will take O(N^2), comparing each element with the other. If we sort the intervals first, ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge_v1(self, intervals: List[List[int]]) -> List[List[int]]: Sort. A simple method will take O(N^2), comparing each element with the other. If we sort the intervals first, ... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def merge_v1(self, intervals: List[List[int]]) -> List[List[int]]:
"""Sort. A simple method will take O(N^2), comparing each element with the other. If we sort the intervals first, it will be O(N log(N)) + O(N). Here we use the built-in sort method. Alternatively, we may write ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def merge_v1(self, intervals: List[List[int]]) -> List[List[int]]:
"""Sort. A simple method will take O(N^2), comparing each element with the other. If we sort the intervals first, it will be O(N log(N)) + O(N). Here we use the built-in sort method. Alternatively, we may write our own sort m... | the_stack_v2_python_sparse | python3/sorting_and_search/merge_intervals.py | victorchu/algorithms | train | 0 | |
96ee618eeda7a3b9608ede99a7bc61fcefbf705d | [
"self.targets = [0 for i in range(target + 1)]\nself.new_nums = [0]\nwhile self.new_nums != []:\n self.nums = []\n for i in self.new_nums:\n for j in nums:\n a = i + j\n if a <= target:\n self.nums.append(a)\n self.targets[a] += 1\n self.new_nums =... | <|body_start_0|>
self.targets = [0 for i in range(target + 1)]
self.new_nums = [0]
while self.new_nums != []:
self.nums = []
for i in self.new_nums:
for j in nums:
a = i + j
if a <= target:
se... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def combinationSum4_1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int 52ms"""
<|body_1|>
def combinationSu... | stack_v2_sparse_classes_10k_train_008262 | 2,089 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "combinationSum4",
"signature": "def combinationSum4(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int 52ms",
"name": "combinationSum4_1",
"signature": "def combination... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combinationSum4(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def combinationSum4_1(self, nums, target): :type nums: List[int] :type target: int ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combinationSum4(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def combinationSum4_1(self, nums, target): :type nums: List[int] :type target: int ... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def combinationSum4_1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int 52ms"""
<|body_1|>
def combinationSu... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
self.targets = [0 for i in range(target + 1)]
self.new_nums = [0]
while self.new_nums != []:
self.nums = []
for i in self.new_nums:
... | the_stack_v2_python_sparse | CombinationSumIV_MID_377.py | 953250587/leetcode-python | train | 2 | |
ef9af024a00c829bfb773d16dea0cd6cbb8fd4ee | [
"course_keys = value\nfor course in course_keys:\n try:\n CourseKey.from_string(course)\n except InvalidKeyError:\n raise serializers.ValidationError(f'Course key not valid: {course}')\nreturn value",
"if attrs.get('cohorts'):\n if attrs['action'] != 'enroll':\n raise serializers.Val... | <|body_start_0|>
course_keys = value
for course in course_keys:
try:
CourseKey.from_string(course)
except InvalidKeyError:
raise serializers.ValidationError(f'Course key not valid: {course}')
return value
<|end_body_0|>
<|body_start_1|>
... | Serializes enrollment information for a collection of students/emails. This is mainly useful for implementing validation when performing bulk enrollment operations. | BulkEnrollmentSerializer | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BulkEnrollmentSerializer:
"""Serializes enrollment information for a collection of students/emails. This is mainly useful for implementing validation when performing bulk enrollment operations."""
def validate_courses(self, value):
"""Check that each course key in list is valid."""
... | stack_v2_sparse_classes_10k_train_008263 | 2,612 | permissive | [
{
"docstring": "Check that each course key in list is valid.",
"name": "validate_courses",
"signature": "def validate_courses(self, value)"
},
{
"docstring": "Check that the cohorts list is the same size as the courses list.",
"name": "validate",
"signature": "def validate(self, attrs)"
... | 2 | null | Implement the Python class `BulkEnrollmentSerializer` described below.
Class description:
Serializes enrollment information for a collection of students/emails. This is mainly useful for implementing validation when performing bulk enrollment operations.
Method signatures and docstrings:
- def validate_courses(self, ... | Implement the Python class `BulkEnrollmentSerializer` described below.
Class description:
Serializes enrollment information for a collection of students/emails. This is mainly useful for implementing validation when performing bulk enrollment operations.
Method signatures and docstrings:
- def validate_courses(self, ... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class BulkEnrollmentSerializer:
"""Serializes enrollment information for a collection of students/emails. This is mainly useful for implementing validation when performing bulk enrollment operations."""
def validate_courses(self, value):
"""Check that each course key in list is valid."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BulkEnrollmentSerializer:
"""Serializes enrollment information for a collection of students/emails. This is mainly useful for implementing validation when performing bulk enrollment operations."""
def validate_courses(self, value):
"""Check that each course key in list is valid."""
course... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/bulk_enroll/serializers.py | luque/better-ways-of-thinking-about-software | train | 3 |
26ee07307cb543a6aba562cddb82d4ad8aceab9d | [
"component_spc = kwargs['spc'] if 'spc' in kwargs else spc.SPC\nwx_panel.COMPONENT.__init__(self, parent=parent, resource=resource, spc=component_spc, context=context)\nolap_query_browser.iqOLAPQueryBrowserProto.__init__(self, *args, parent=parent, **kwargs)",
"psp = self.getAttribute('olap_server')\nlog_func.deb... | <|body_start_0|>
component_spc = kwargs['spc'] if 'spc' in kwargs else spc.SPC
wx_panel.COMPONENT.__init__(self, parent=parent, resource=resource, spc=component_spc, context=context)
olap_query_browser.iqOLAPQueryBrowserProto.__init__(self, *args, parent=parent, **kwargs)
<|end_body_0|>
<|body_... | OLAP server query browser component. | iqWxOLAPQueryBrowser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class iqWxOLAPQueryBrowser:
"""OLAP server query browser component."""
def __init__(self, parent=None, resource=None, context=None, *args, **kwargs):
"""Standard component constructor. :param parent: Parent object. :param resource: Object resource dictionary. :param context: Context dictio... | stack_v2_sparse_classes_10k_train_008264 | 1,543 | no_license | [
{
"docstring": "Standard component constructor. :param parent: Parent object. :param resource: Object resource dictionary. :param context: Context dictionary.",
"name": "__init__",
"signature": "def __init__(self, parent=None, resource=None, context=None, *args, **kwargs)"
},
{
"docstring": "OLA... | 3 | stack_v2_sparse_classes_30k_train_006102 | Implement the Python class `iqWxOLAPQueryBrowser` described below.
Class description:
OLAP server query browser component.
Method signatures and docstrings:
- def __init__(self, parent=None, resource=None, context=None, *args, **kwargs): Standard component constructor. :param parent: Parent object. :param resource: O... | Implement the Python class `iqWxOLAPQueryBrowser` described below.
Class description:
OLAP server query browser component.
Method signatures and docstrings:
- def __init__(self, parent=None, resource=None, context=None, *args, **kwargs): Standard component constructor. :param parent: Parent object. :param resource: O... | 7550e242746cb2fb1219474463f8db21f8e3e114 | <|skeleton|>
class iqWxOLAPQueryBrowser:
"""OLAP server query browser component."""
def __init__(self, parent=None, resource=None, context=None, *args, **kwargs):
"""Standard component constructor. :param parent: Parent object. :param resource: Object resource dictionary. :param context: Context dictio... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class iqWxOLAPQueryBrowser:
"""OLAP server query browser component."""
def __init__(self, parent=None, resource=None, context=None, *args, **kwargs):
"""Standard component constructor. :param parent: Parent object. :param resource: Object resource dictionary. :param context: Context dictionary."""
... | the_stack_v2_python_sparse | iq/components/wx_olap_query_browser/component.py | XHermitOne/iq_framework | train | 1 |
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_A | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution_A:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""With the help from the combinationSolo from Leetcode LC077 use tuple and set to remove repeat and convert back to list"""
<|body_0|>
def combinationSolo(self, nums: List[int], k: int) -> List[List[i... | stack_v2_sparse_classes_10k_train_008265 | 4,175 | permissive | [
{
"docstring": "With the help from the combinationSolo from Leetcode LC077 use tuple and set to remove repeat and convert back to list",
"name": "subsetsWithDup",
"signature": "def subsetsWithDup(self, nums: List[int]) -> List[List[int]]"
},
{
"docstring": "Helper for A1, refer to LC077, modify ... | 2 | stack_v2_sparse_classes_30k_train_006767 | Implement the Python class `Solution_A` described below.
Class description:
Implement the Solution_A class.
Method signatures and docstrings:
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: With the help from the combinationSolo from Leetcode LC077 use tuple and set to remove repeat and convert back t... | Implement the Python class `Solution_A` described below.
Class description:
Implement the Solution_A class.
Method signatures and docstrings:
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: With the help from the combinationSolo from Leetcode LC077 use tuple and set to remove repeat and convert back t... | 143422321cbc3715ca08f6c3af8f960a55887ced | <|skeleton|>
class Solution_A:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""With the help from the combinationSolo from Leetcode LC077 use tuple and set to remove repeat and convert back to list"""
<|body_0|>
def combinationSolo(self, nums: List[int], k: int) -> List[List[i... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution_A:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""With the help from the combinationSolo from Leetcode LC077 use tuple and set to remove repeat and convert back to list"""
result = []
for i in range(0, len(nums) + 1):
result += self.combinationSol... | the_stack_v2_python_sparse | LeetCode/LC090_subsets_ii.py | jxie0755/Learning_Python | train | 0 | |
271522da66065e77ba710d952907f78a75fc3536 | [
"if not nums:\n return 0\ncum_sum = [0]\nfor num in nums:\n cum_sum.append(cum_sum[-1] + num)\nres = 0\nfor i in range(len(cum_sum) - 1):\n for j in range(i + 1, len(cum_sum)):\n if cum_sum[j] - cum_sum[i] == k:\n res += 1\nreturn res",
"if not nums:\n return 0\ncounts_map = {0: 1}\n... | <|body_start_0|>
if not nums:
return 0
cum_sum = [0]
for num in nums:
cum_sum.append(cum_sum[-1] + num)
res = 0
for i in range(len(cum_sum) - 1):
for j in range(i + 1, len(cum_sum)):
if cum_sum[j] - cum_sum[i] == k:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subarray_sum(self, nums: List[int], k: int) -> int:
"""Time complexity O(n**2). Although this is faster than O(n**3) solution (brutal force without cumulative array), it is still not fast enough to pass the test."""
<|body_0|>
def subarray_sum_hash_map(self, nu... | stack_v2_sparse_classes_10k_train_008266 | 1,152 | no_license | [
{
"docstring": "Time complexity O(n**2). Although this is faster than O(n**3) solution (brutal force without cumulative array), it is still not fast enough to pass the test.",
"name": "subarray_sum",
"signature": "def subarray_sum(self, nums: List[int], k: int) -> int"
},
{
"docstring": "O(n) so... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarray_sum(self, nums: List[int], k: int) -> int: Time complexity O(n**2). Although this is faster than O(n**3) solution (brutal force without cumulative array), it is stil... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarray_sum(self, nums: List[int], k: int) -> int: Time complexity O(n**2). Although this is faster than O(n**3) solution (brutal force without cumulative array), it is stil... | 5625e6396b746255f3343253c75447ead95879c7 | <|skeleton|>
class Solution:
def subarray_sum(self, nums: List[int], k: int) -> int:
"""Time complexity O(n**2). Although this is faster than O(n**3) solution (brutal force without cumulative array), it is still not fast enough to pass the test."""
<|body_0|>
def subarray_sum_hash_map(self, nu... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def subarray_sum(self, nums: List[int], k: int) -> int:
"""Time complexity O(n**2). Although this is faster than O(n**3) solution (brutal force without cumulative array), it is still not fast enough to pass the test."""
if not nums:
return 0
cum_sum = [0]
... | the_stack_v2_python_sparse | 560_subarray_sum_equals_k/solution.py | FluffyFu/Leetcode | train | 0 | |
23a97525b6c1ca0734babed8602ad52db72ca9b7 | [
"if A is None or B is None:\n return None\nm, n, l = (len(A), len(A[0]), len(B[0]))\nif len(B) != n:\n raise Exception(\"A's column number must be equal to B's row number.\")\nC = [[0 for _ in range(l)] for _ in range(m)]\nfor i, row in enumerate(A):\n for k, eleA in enumerate(row):\n if eleA:\n ... | <|body_start_0|>
if A is None or B is None:
return None
m, n, l = (len(A), len(A[0]), len(B[0]))
if len(B) != n:
raise Exception("A's column number must be equal to B's row number.")
C = [[0 for _ in range(l)] for _ in range(m)]
for i, row in enumerate(A):... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def multiply(self, A, B):
""":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]"""
<|body_0|>
def multiply2(self, A, B):
""":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_10k_train_008267 | 5,317 | no_license | [
{
"docstring": ":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]",
"name": "multiply",
"signature": "def multiply(self, A, B)"
},
{
"docstring": ":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]",
"name": "multiply2",
"signature": "def mu... | 2 | stack_v2_sparse_classes_30k_train_000719 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def multiply(self, A, B): :type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]
- def multiply2(self, A, B): :type A: List[List[int]] :type B: List[List[int]]... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def multiply(self, A, B): :type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]
- def multiply2(self, A, B): :type A: List[List[int]] :type B: List[List[int]]... | 4c0cfe857f5d78a44c1a3bfb2571d72da4911d97 | <|skeleton|>
class Solution:
def multiply(self, A, B):
""":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]"""
<|body_0|>
def multiply2(self, A, B):
""":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def multiply(self, A, B):
""":type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]]"""
if A is None or B is None:
return None
m, n, l = (len(A), len(A[0]), len(B[0]))
if len(B) != n:
raise Exception("A's column number must be... | the_stack_v2_python_sparse | 311-SparseMatrixMultiplication.py | minseoch/algorithm | train | 0 | |
d0dc059f717ff4cd9b1e0e706d4f6a8f211cd88e | [
"jobs = sorted(zip(startTime, endTime, profit), key=lambda v: v[1])\ndp = [[0, 0]]\nfor start, end, profit in jobs:\n i = bisect.bisect(dp, [start + 1]) - 1\n if dp[i][1] + profit > dp[-1][1]:\n dp.append([end, dp[i][1] + profit])\nreturn dp[-1][1]",
"jobs = sorted(zip(startTime, endTime, profit), ke... | <|body_start_0|>
jobs = sorted(zip(startTime, endTime, profit), key=lambda v: v[1])
dp = [[0, 0]]
for start, end, profit in jobs:
i = bisect.bisect(dp, [start + 1]) - 1
if dp[i][1] + profit > dp[-1][1]:
dp.append([end, dp[i][1] + profit])
return dp... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int:
"""https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary sea... | stack_v2_sparse_classes_10k_train_008268 | 2,115 | no_license | [
{
"docstring": "https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary search for each job Space O(N)",
"name": "jobScheduling",
"signature": "def jobScheduling(self, startTime: li... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int: https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int: https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2... | e50dc0642f087f37ab3234390be3d8a0ed48fe62 | <|skeleton|>
class Solution:
def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int:
"""https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary sea... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int:
"""https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary search for each j... | the_stack_v2_python_sparse | Leetcode/ByteDance/1235. Maximum Profit in Job Scheduling.py | brlala/Educative-Grokking-Coding-Exercise | train | 3 | |
2b95f1484a7e6eadfcceb66050428b71f7794869 | [
"res = 0\nfor i in range(32):\n if n & 1 << i != 0:\n res += 1\nreturn res",
"res = 0\nwhile n != 0:\n n &= n - 1\n res += 1\nreturn res"
] | <|body_start_0|>
res = 0
for i in range(32):
if n & 1 << i != 0:
res += 1
return res
<|end_body_0|>
<|body_start_1|>
res = 0
while n != 0:
n &= n - 1
res += 1
return res
<|end_body_1|>
| Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hammingWeight(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def hammingWeight0(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = 0
for i in range(32):
if n & 1 << i !=... | stack_v2_sparse_classes_10k_train_008269 | 863 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "hammingWeight",
"signature": "def hammingWeight(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "hammingWeight0",
"signature": "def hammingWeight0(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004584 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hammingWeight(self, n): :type n: int :rtype: int
- def hammingWeight0(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hammingWeight(self, n): :type n: int :rtype: int
- def hammingWeight0(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def hammingWeight(self, n):
... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def hammingWeight(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def hammingWeight0(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def hammingWeight(self, n):
""":type n: int :rtype: int"""
res = 0
for i in range(32):
if n & 1 << i != 0:
res += 1
return res
def hammingWeight0(self, n):
""":type n: int :rtype: int"""
res = 0
while n != 0:
... | the_stack_v2_python_sparse | 剑指 Offer 15. 二进制中1的个数.py | yangyuxiang1996/leetcode | train | 0 | |
403b4b9ba23ba10354f7848c7a985f2d35c59b54 | [
"details = {}\nselector = 'table > tbody > tr'\nfor resource, unit, used in root.cssselect(selector):\n name = resource.findtext('strong').strip()\n details[name] = (used.text.strip(), unit.text.strip())\nreturn details",
"events = []\nselector = '#ae-billing-logs-table > tbody > tr'\nfor date_elt, event_el... | <|body_start_0|>
details = {}
selector = 'table > tbody > tr'
for resource, unit, used in root.cssselect(selector):
name = resource.findtext('strong').strip()
details[name] = (used.text.strip(), unit.text.strip())
return details
<|end_body_0|>
<|body_start_1|>
... | An API for the contents of /billing/history as structured data. | BillingHistory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BillingHistory:
"""An API for the contents of /billing/history as structured data."""
def _usage_report_dict(self, root):
"""Extract usage report details from the element that contains the table with columns resource, unit, used."""
<|body_0|>
def event_dicts(self):
... | stack_v2_sparse_classes_10k_train_008270 | 15,505 | no_license | [
{
"docstring": "Extract usage report details from the element that contains the table with columns resource, unit, used.",
"name": "_usage_report_dict",
"signature": "def _usage_report_dict(self, root)"
},
{
"docstring": "Information about each row in the billing history table. Entries match the... | 2 | stack_v2_sparse_classes_30k_train_002332 | Implement the Python class `BillingHistory` described below.
Class description:
An API for the contents of /billing/history as structured data.
Method signatures and docstrings:
- def _usage_report_dict(self, root): Extract usage report details from the element that contains the table with columns resource, unit, use... | Implement the Python class `BillingHistory` described below.
Class description:
An API for the contents of /billing/history as structured data.
Method signatures and docstrings:
- def _usage_report_dict(self, root): Extract usage report details from the element that contains the table with columns resource, unit, use... | c4ad2ad67b497ce411a9e5d6d6db407ee304491f | <|skeleton|>
class BillingHistory:
"""An API for the contents of /billing/history as structured data."""
def _usage_report_dict(self, root):
"""Extract usage report details from the element that contains the table with columns resource, unit, used."""
<|body_0|>
def event_dicts(self):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BillingHistory:
"""An API for the contents of /billing/history as structured data."""
def _usage_report_dict(self, root):
"""Extract usage report details from the element that contains the table with columns resource, unit, used."""
details = {}
selector = 'table > tbody > tr'
... | the_stack_v2_python_sparse | src/gae_dashboard/parsers.py | summer-liu/analytics | train | 1 |
b8af26faeb4444367f05b43d3ffe9fba193942e1 | [
"obj = context.object\nif obj is None:\n return False\nreturn all([bool(obj), obj.type == 'MESH', obj.mode == 'EDIT'])",
"scene = context.scene\npg = scene.pdt_pg\nobj = bpy.context.view_layer.objects.active\nif obj is None:\n self.report({'ERROR'}, PDT_ERR_NO_ACT_OBJ)\n return {'FINISHED'}\nif obj.mode ... | <|body_start_0|>
obj = context.object
if obj is None:
return False
return all([bool(obj), obj.type == 'MESH', obj.mode == 'EDIT'])
<|end_body_0|>
<|body_start_1|>
scene = context.scene
pg = scene.pdt_pg
obj = bpy.context.view_layer.objects.active
if o... | Scale Selected Vertices about Pivot Point | PDT_OT_ViewPlaneScale | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PDT_OT_ViewPlaneScale:
"""Scale Selected Vertices about Pivot Point"""
def poll(cls, context):
"""Check Object Status. Args: context: Blender bpy.context instance. Returns: Nothing."""
<|body_0|>
def execute(self, context):
"""Scales Selected Vertices about Pivot... | stack_v2_sparse_classes_10k_train_008271 | 13,734 | permissive | [
{
"docstring": "Check Object Status. Args: context: Blender bpy.context instance. Returns: Nothing.",
"name": "poll",
"signature": "def poll(cls, context)"
},
{
"docstring": "Scales Selected Vertices about Pivot Point. Note: Scales any selected vertices about the Pivot Point in View Oriented coo... | 2 | null | Implement the Python class `PDT_OT_ViewPlaneScale` described below.
Class description:
Scale Selected Vertices about Pivot Point
Method signatures and docstrings:
- def poll(cls, context): Check Object Status. Args: context: Blender bpy.context instance. Returns: Nothing.
- def execute(self, context): Scales Selected... | Implement the Python class `PDT_OT_ViewPlaneScale` described below.
Class description:
Scale Selected Vertices about Pivot Point
Method signatures and docstrings:
- def poll(cls, context): Check Object Status. Args: context: Blender bpy.context instance. Returns: Nothing.
- def execute(self, context): Scales Selected... | 4d5c304878c1e0018d97c1b07bcaa3981632265a | <|skeleton|>
class PDT_OT_ViewPlaneScale:
"""Scale Selected Vertices about Pivot Point"""
def poll(cls, context):
"""Check Object Status. Args: context: Blender bpy.context instance. Returns: Nothing."""
<|body_0|>
def execute(self, context):
"""Scales Selected Vertices about Pivot... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PDT_OT_ViewPlaneScale:
"""Scale Selected Vertices about Pivot Point"""
def poll(cls, context):
"""Check Object Status. Args: context: Blender bpy.context instance. Returns: Nothing."""
obj = context.object
if obj is None:
return False
return all([bool(obj), obj... | the_stack_v2_python_sparse | src/bpy/3.6/scripts/addons/precision_drawing_tools/pdt_pivot_point.py | RnoB/3DVisualSwarm | train | 0 |
3c44016df7badbd9f28932a29b14369687079c32 | [
"super(DCGAN_D, self).__init__()\nself.ngpu = ngpu\nself.use_sigmoid = use_sigmoid\nassert isize % 16 == 0, 'isize has to be a multiple of 16'\nmain = nn.Sequential()\nmain.add_module('initial_conv_{0}-{1}'.format(nc, ndf), nn.Conv2d(nc, ndf, 4, 2, 1, bias=False))\nmain.add_module('initial_relu_{0}'.format(ndf), nn... | <|body_start_0|>
super(DCGAN_D, self).__init__()
self.ngpu = ngpu
self.use_sigmoid = use_sigmoid
assert isize % 16 == 0, 'isize has to be a multiple of 16'
main = nn.Sequential()
main.add_module('initial_conv_{0}-{1}'.format(nc, ndf), nn.Conv2d(nc, ndf, 4, 2, 1, bias=Fals... | DCGAN Discriminator. | DCGAN_D | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DCGAN_D:
"""DCGAN Discriminator."""
def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0, use_sigmoid=True, norm=nn.BatchNorm2d):
"""Constructor."""
<|body_0|>
def forward(self, input):
"""Forward method."""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_10k_train_008272 | 34,675 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0, use_sigmoid=True, norm=nn.BatchNorm2d)"
},
{
"docstring": "Forward method.",
"name": "forward",
"signature": "def forward(self, input)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000277 | Implement the Python class `DCGAN_D` described below.
Class description:
DCGAN Discriminator.
Method signatures and docstrings:
- def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0, use_sigmoid=True, norm=nn.BatchNorm2d): Constructor.
- def forward(self, input): Forward method. | Implement the Python class `DCGAN_D` described below.
Class description:
DCGAN Discriminator.
Method signatures and docstrings:
- def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0, use_sigmoid=True, norm=nn.BatchNorm2d): Constructor.
- def forward(self, input): Forward method.
<|skeleton|>
class DCGAN_D:... | e1e4a8d9a2ab51c2108a4d167bc37fab101f0c2c | <|skeleton|>
class DCGAN_D:
"""DCGAN Discriminator."""
def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0, use_sigmoid=True, norm=nn.BatchNorm2d):
"""Constructor."""
<|body_0|>
def forward(self, input):
"""Forward method."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DCGAN_D:
"""DCGAN Discriminator."""
def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0, use_sigmoid=True, norm=nn.BatchNorm2d):
"""Constructor."""
super(DCGAN_D, self).__init__()
self.ngpu = ngpu
self.use_sigmoid = use_sigmoid
assert isize % 16 == 0, 'is... | the_stack_v2_python_sparse | diffrend/torch/GAN/twin_networks.py | sainatarajan/pix2shape | train | 0 |
1a626ca2792e24235b8194e7009cc965ac169a4f | [
"self.num_map = {}\nfor i in range(len(nums)):\n if nums[i] not in self.num_map:\n self.num_map[nums[i]] = [i]\n else:\n self.num_map[nums[i]].append(i)",
"if target in self.num_map:\n high = len(self.num_map[target])\n import numpy as np\n index = np.random.randint(0, high)\n retu... | <|body_start_0|>
self.num_map = {}
for i in range(len(nums)):
if nums[i] not in self.num_map:
self.num_map[nums[i]] = [i]
else:
self.num_map[nums[i]].append(i)
<|end_body_0|>
<|body_start_1|>
if target in self.num_map:
high = l... | Solution_1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution_1:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def pick(self, target):
""":type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.num_map = {}
for i in range(len(nums)):
if... | stack_v2_sparse_classes_10k_train_008273 | 1,800 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type target: int :rtype: int",
"name": "pick",
"signature": "def pick(self, target)"
}
] | 2 | null | Implement the Python class `Solution_1` described below.
Class description:
Implement the Solution_1 class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def pick(self, target): :type target: int :rtype: int | Implement the Python class `Solution_1` described below.
Class description:
Implement the Solution_1 class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def pick(self, target): :type target: int :rtype: int
<|skeleton|>
class Solution_1:
def __init__(self, nums):
... | 176cc1db3291843fb068f06d0180766dd8c3122c | <|skeleton|>
class Solution_1:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def pick(self, target):
""":type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution_1:
def __init__(self, nums):
""":type nums: List[int]"""
self.num_map = {}
for i in range(len(nums)):
if nums[i] not in self.num_map:
self.num_map[nums[i]] = [i]
else:
self.num_map[nums[i]].append(i)
def pick(self, t... | the_stack_v2_python_sparse | 2019/sampling/random_pick_index_398.py | yehongyu/acode | train | 0 | |
1551cf21b02340673adabca151988a906dc0f1ae | [
"length = len(array)\nif length < 2:\n return array\nmiddle = length // 2\nleft = Merge.merge_sort(array[:middle])\nright = Merge.merge_sort(array[middle:])\nreturn Merge.merge(left, right)",
"new = []\nleft_index, right_index = (0, 0)\nlen_left, len_right = (len(left), len(right))\nwhile left_index < len_left... | <|body_start_0|>
length = len(array)
if length < 2:
return array
middle = length // 2
left = Merge.merge_sort(array[:middle])
right = Merge.merge_sort(array[middle:])
return Merge.merge(left, right)
<|end_body_0|>
<|body_start_1|>
new = []
lef... | Contains various merge sort implementations. http://en.wikipedia.org/wiki/Merge_sort | Merge | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Merge:
"""Contains various merge sort implementations. http://en.wikipedia.org/wiki/Merge_sort"""
def merge_sort(array):
"""A basic implementation of merge sort. Despite enjoying a lower worst case time complexity, quick sort often outperforms merge sort in practical cases. Uses the ... | stack_v2_sparse_classes_10k_train_008274 | 14,101 | no_license | [
{
"docstring": "A basic implementation of merge sort. Despite enjoying a lower worst case time complexity, quick sort often outperforms merge sort in practical cases. Uses the helper function merge(). Inplace: No Time complexity: all O(nlogn)",
"name": "merge_sort",
"signature": "def merge_sort(array)"
... | 2 | stack_v2_sparse_classes_30k_train_003902 | Implement the Python class `Merge` described below.
Class description:
Contains various merge sort implementations. http://en.wikipedia.org/wiki/Merge_sort
Method signatures and docstrings:
- def merge_sort(array): A basic implementation of merge sort. Despite enjoying a lower worst case time complexity, quick sort o... | Implement the Python class `Merge` described below.
Class description:
Contains various merge sort implementations. http://en.wikipedia.org/wiki/Merge_sort
Method signatures and docstrings:
- def merge_sort(array): A basic implementation of merge sort. Despite enjoying a lower worst case time complexity, quick sort o... | c88059dc66297af577ad2b8afa4e0ac0ad622915 | <|skeleton|>
class Merge:
"""Contains various merge sort implementations. http://en.wikipedia.org/wiki/Merge_sort"""
def merge_sort(array):
"""A basic implementation of merge sort. Despite enjoying a lower worst case time complexity, quick sort often outperforms merge sort in practical cases. Uses the ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Merge:
"""Contains various merge sort implementations. http://en.wikipedia.org/wiki/Merge_sort"""
def merge_sort(array):
"""A basic implementation of merge sort. Despite enjoying a lower worst case time complexity, quick sort often outperforms merge sort in practical cases. Uses the helper functi... | the_stack_v2_python_sparse | codes/BuildLinks1.02/test_input/sort_codes/pysort.py | DaHuO/Supergraph | train | 2 |
90fd34ebfe894eeea4cc242176999a0416d41da3 | [
"if hasattr(self, 'set_model_params'):\n set_model_param_method = getattr(self, 'set_model_params')\n args, varargs, kw, default = getargspec_no_self(set_model_param_method)\n if varargs is not None:\n raise RuntimeError(\"Models should always specify their parameters in the signature of their set_m... | <|body_start_0|>
if hasattr(self, 'set_model_params'):
set_model_param_method = getattr(self, 'set_model_params')
args, varargs, kw, default = getargspec_no_self(set_model_param_method)
if varargs is not None:
raise RuntimeError("Models should always specify t... | Base class for Chainsaws models This class is inspired by sklearn's BaseEstimator class. However, we define parameter names not by the current class' __init__ but have to announce them. This allows us to also remember the parameters of model superclasses. This class can be mixed with Chainsaw and sklearn Estimators. | Model | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Model:
"""Base class for Chainsaws models This class is inspired by sklearn's BaseEstimator class. However, we define parameter names not by the current class' __init__ but have to announce them. This allows us to also remember the parameters of model superclasses. This class can be mixed with Ch... | stack_v2_sparse_classes_10k_train_008275 | 4,319 | no_license | [
{
"docstring": "Get parameter names for the model",
"name": "_get_model_param_names",
"signature": "def _get_model_param_names(self)"
},
{
"docstring": "Update given model parameter if they are set to specific values",
"name": "update_model_params",
"signature": "def update_model_params(... | 3 | stack_v2_sparse_classes_30k_train_003361 | Implement the Python class `Model` described below.
Class description:
Base class for Chainsaws models This class is inspired by sklearn's BaseEstimator class. However, we define parameter names not by the current class' __init__ but have to announce them. This allows us to also remember the parameters of model superc... | Implement the Python class `Model` described below.
Class description:
Base class for Chainsaws models This class is inspired by sklearn's BaseEstimator class. However, we define parameter names not by the current class' __init__ but have to announce them. This allows us to also remember the parameters of model superc... | 3c67aeb9a4ea26b8304585a70761a2983db19332 | <|skeleton|>
class Model:
"""Base class for Chainsaws models This class is inspired by sklearn's BaseEstimator class. However, we define parameter names not by the current class' __init__ but have to announce them. This allows us to also remember the parameters of model superclasses. This class can be mixed with Ch... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Model:
"""Base class for Chainsaws models This class is inspired by sklearn's BaseEstimator class. However, we define parameter names not by the current class' __init__ but have to announce them. This allows us to also remember the parameters of model superclasses. This class can be mixed with Chainsaw and sk... | the_stack_v2_python_sparse | chainsaw/base/model.py | markovmodel/coordinates | train | 0 |
09108311ac2bdb88b0447bf3bee91a5ed03f0a3c | [
"if uid == 0:\n user = User_Info.objects.get(email=request.session.get('login'))\nelse:\n user = User_Info.objects.filter(id=uid)\n if not user.exists():\n return JsonResponse({'status': False, 'err': '用户不存在'}, status=404)\n user = user[0]\narticles = Article.objects.filter(author=user)\nmarkets ... | <|body_start_0|>
if uid == 0:
user = User_Info.objects.get(email=request.session.get('login'))
else:
user = User_Info.objects.filter(id=uid)
if not user.exists():
return JsonResponse({'status': False, 'err': '用户不存在'}, status=404)
user = use... | UserDashBoardView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserDashBoardView:
def get(self, request, uid=0):
"""用户控制台 :param request: :return:"""
<|body_0|>
def put(self, request):
"""用户修改信息 :param request: :return:"""
<|body_1|>
def post(self, request):
"""新增/更换头像 :param request: :return:"""
<|b... | stack_v2_sparse_classes_10k_train_008276 | 5,399 | no_license | [
{
"docstring": "用户控制台 :param request: :return:",
"name": "get",
"signature": "def get(self, request, uid=0)"
},
{
"docstring": "用户修改信息 :param request: :return:",
"name": "put",
"signature": "def put(self, request)"
},
{
"docstring": "新增/更换头像 :param request: :return:",
"name":... | 3 | stack_v2_sparse_classes_30k_train_001703 | Implement the Python class `UserDashBoardView` described below.
Class description:
Implement the UserDashBoardView class.
Method signatures and docstrings:
- def get(self, request, uid=0): 用户控制台 :param request: :return:
- def put(self, request): 用户修改信息 :param request: :return:
- def post(self, request): 新增/更换头像 :para... | Implement the Python class `UserDashBoardView` described below.
Class description:
Implement the UserDashBoardView class.
Method signatures and docstrings:
- def get(self, request, uid=0): 用户控制台 :param request: :return:
- def put(self, request): 用户修改信息 :param request: :return:
- def post(self, request): 新增/更换头像 :para... | 526dea540048fc92260bce611c520c50af744e0b | <|skeleton|>
class UserDashBoardView:
def get(self, request, uid=0):
"""用户控制台 :param request: :return:"""
<|body_0|>
def put(self, request):
"""用户修改信息 :param request: :return:"""
<|body_1|>
def post(self, request):
"""新增/更换头像 :param request: :return:"""
<|b... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserDashBoardView:
def get(self, request, uid=0):
"""用户控制台 :param request: :return:"""
if uid == 0:
user = User_Info.objects.get(email=request.session.get('login'))
else:
user = User_Info.objects.filter(id=uid)
if not user.exists():
r... | the_stack_v2_python_sparse | apps/account/views/userInfo/userInfo.py | DICKQI/ALGYunXS | train | 0 | |
54d0880a9f717d6c635f670547c351655ba950b2 | [
"Serializable._init(self, locals())\nsuper().__init__(min_rollouts=min_rollouts, min_steps=min_steps)\nself.env = env\nself.policy = policy\nself.bernoulli_reset = bernoulli_reset\nif self.policy.device == 'cuda':\n mp.set_start_method('spawn', force=True)\nself.pool = SamplerPool(num_envs)\nif seed is not None:... | <|body_start_0|>
Serializable._init(self, locals())
super().__init__(min_rollouts=min_rollouts, min_steps=min_steps)
self.env = env
self.policy = policy
self.bernoulli_reset = bernoulli_reset
if self.policy.device == 'cuda':
mp.set_start_method('spawn', force=... | Class for sampling from multiple environments in parallel | ParallelSampler | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParallelSampler:
"""Class for sampling from multiple environments in parallel"""
def __init__(self, env, policy, num_envs: int, *, min_rollouts: int=None, min_steps: int=None, bernoulli_reset: bool=None, seed: int=None):
"""Constructor :param env: environment to sample from :param po... | stack_v2_sparse_classes_10k_train_008277 | 4,523 | permissive | [
{
"docstring": "Constructor :param env: environment to sample from :param policy: policy to act in the environment (can also be an exploration strategy) :param num_envs: number of parallel samplers :param min_rollouts: minimum number of complete rollouts to sample. :param min_steps: minimum total number of step... | 3 | null | Implement the Python class `ParallelSampler` described below.
Class description:
Class for sampling from multiple environments in parallel
Method signatures and docstrings:
- def __init__(self, env, policy, num_envs: int, *, min_rollouts: int=None, min_steps: int=None, bernoulli_reset: bool=None, seed: int=None): Con... | Implement the Python class `ParallelSampler` described below.
Class description:
Class for sampling from multiple environments in parallel
Method signatures and docstrings:
- def __init__(self, env, policy, num_envs: int, *, min_rollouts: int=None, min_steps: int=None, bernoulli_reset: bool=None, seed: int=None): Con... | a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5 | <|skeleton|>
class ParallelSampler:
"""Class for sampling from multiple environments in parallel"""
def __init__(self, env, policy, num_envs: int, *, min_rollouts: int=None, min_steps: int=None, bernoulli_reset: bool=None, seed: int=None):
"""Constructor :param env: environment to sample from :param po... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ParallelSampler:
"""Class for sampling from multiple environments in parallel"""
def __init__(self, env, policy, num_envs: int, *, min_rollouts: int=None, min_steps: int=None, bernoulli_reset: bool=None, seed: int=None):
"""Constructor :param env: environment to sample from :param policy: policy ... | the_stack_v2_python_sparse | Pyrado/pyrado/sampling/parallel_sampler.py | jacarvalho/SimuRLacra | train | 0 |
03d8b6ef9cd5e1ef1e2c94ecd528b286ebc3e9a6 | [
"m = super(RecipeIngredientForm, self).save(commit=False)\ningredient_name = self.cleaned_data['ingredient_name']\nunit_name = self.cleaned_data['unit_name']\noptional = self.cleaned_data['optional']\ningredient = Ingredient.objects.get_or_create(name__iexact=ingredient_name, defaults={'name': ingredient_name, 'slu... | <|body_start_0|>
m = super(RecipeIngredientForm, self).save(commit=False)
ingredient_name = self.cleaned_data['ingredient_name']
unit_name = self.cleaned_data['unit_name']
optional = self.cleaned_data['optional']
ingredient = Ingredient.objects.get_or_create(name__iexact=ingredie... | A class that defines the form for submission of ingredients associated with a recipe. | RecipeIngredientForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecipeIngredientForm:
"""A class that defines the form for submission of ingredients associated with a recipe."""
def save(self, commit=True):
"""An overwrite of the form save method that parses the ingredients, units and optional fields. Keyword arguments: self -- the RecipeIngredie... | stack_v2_sparse_classes_10k_train_008278 | 4,228 | no_license | [
{
"docstring": "An overwrite of the form save method that parses the ingredients, units and optional fields. Keyword arguments: self -- the RecipeIngredientForm instance commit -- whether the changes to the form should be committed",
"name": "save",
"signature": "def save(self, commit=True)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_006164 | Implement the Python class `RecipeIngredientForm` described below.
Class description:
A class that defines the form for submission of ingredients associated with a recipe.
Method signatures and docstrings:
- def save(self, commit=True): An overwrite of the form save method that parses the ingredients, units and optio... | Implement the Python class `RecipeIngredientForm` described below.
Class description:
A class that defines the form for submission of ingredients associated with a recipe.
Method signatures and docstrings:
- def save(self, commit=True): An overwrite of the form save method that parses the ingredients, units and optio... | 51396b214a601f5a9cf80e1de3755ab5ebcf6d2e | <|skeleton|>
class RecipeIngredientForm:
"""A class that defines the form for submission of ingredients associated with a recipe."""
def save(self, commit=True):
"""An overwrite of the form save method that parses the ingredients, units and optional fields. Keyword arguments: self -- the RecipeIngredie... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RecipeIngredientForm:
"""A class that defines the form for submission of ingredients associated with a recipe."""
def save(self, commit=True):
"""An overwrite of the form save method that parses the ingredients, units and optional fields. Keyword arguments: self -- the RecipeIngredientForm instan... | the_stack_v2_python_sparse | recipes/forms.py | kgodey/Bendakai | train | 6 |
de722b02ff25e868292b41a6612bee790b4a5636 | [
"self.parent = parent\nself.name = name\nself._unix_name = UnixName(self.name)\nself._unix_name_used = False\nself.origin = origin\nself.simple_name = _StripNamespace(self.name, namespace)\nself.description = json.get('description', None)\nself.optional = json.get('optional', None)\nself.instance_of = json.get('isI... | <|body_start_0|>
self.parent = parent
self.name = name
self._unix_name = UnixName(self.name)
self._unix_name_used = False
self.origin = origin
self.simple_name = _StripNamespace(self.name, namespace)
self.description = json.get('description', None)
self.op... | A property of a type OR a parameter to a function. Properties: - |name| name of the property as in the json. This shouldn't change since it is the key used to access Value::Dict - |unix_name| the unix_style_name of the property. Used as variable name - |optional| a boolean representing whether the property is optional ... | Property | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Property:
"""A property of a type OR a parameter to a function. Properties: - |name| name of the property as in the json. This shouldn't change since it is the key used to access Value::Dict - |unix_name| the unix_style_name of the property. Used as variable name - |optional| a boolean representi... | stack_v2_sparse_classes_10k_train_008279 | 31,957 | permissive | [
{
"docstring": "Creates a Property from JSON.",
"name": "__init__",
"signature": "def __init__(self, parent, name, json, namespace, origin)"
},
{
"docstring": "Gets the property's unix_name. Raises AttributeError if not set.",
"name": "GetUnixName",
"signature": "def GetUnixName(self)"
... | 3 | stack_v2_sparse_classes_30k_train_000023 | Implement the Python class `Property` described below.
Class description:
A property of a type OR a parameter to a function. Properties: - |name| name of the property as in the json. This shouldn't change since it is the key used to access Value::Dict - |unix_name| the unix_style_name of the property. Used as variable... | Implement the Python class `Property` described below.
Class description:
A property of a type OR a parameter to a function. Properties: - |name| name of the property as in the json. This shouldn't change since it is the key used to access Value::Dict - |unix_name| the unix_style_name of the property. Used as variable... | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | <|skeleton|>
class Property:
"""A property of a type OR a parameter to a function. Properties: - |name| name of the property as in the json. This shouldn't change since it is the key used to access Value::Dict - |unix_name| the unix_style_name of the property. Used as variable name - |optional| a boolean representi... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Property:
"""A property of a type OR a parameter to a function. Properties: - |name| name of the property as in the json. This shouldn't change since it is the key used to access Value::Dict - |unix_name| the unix_style_name of the property. Used as variable name - |optional| a boolean representing whether th... | the_stack_v2_python_sparse | tools/json_schema_compiler/model.py | chromium/chromium | train | 17,408 |
c0d1df093f133e1bbddcdee6f5fd57057ba28aa4 | [
"super(SepConv, self).__init__()\nself.dconv = nn.Conv2d(in_channels, in_channels * filters, kernel_size, dilation=dilation, groups=in_channels)\nself.pconv = nn.Conv2d(in_channels * filters, out_channels, kernel_size=1)\nself.padding = dilation[0] * (kernel_size[0] - 1)",
"x = F.pad(input, [0, 0, self.padding, 0... | <|body_start_0|>
super(SepConv, self).__init__()
self.dconv = nn.Conv2d(in_channels, in_channels * filters, kernel_size, dilation=dilation, groups=in_channels)
self.pconv = nn.Conv2d(in_channels * filters, out_channels, kernel_size=1)
self.padding = dilation[0] * (kernel_size[0] - 1)
<|e... | SepConv | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SepConv:
def __init__(self, in_channels, filters, out_channels, kernel_size=(5, 2), dilation=(1, 1)):
""":param kernel_size (time, frequency)"""
<|body_0|>
def forward(self, input):
"""input: [B, C, T, F]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_008280 | 14,384 | permissive | [
{
"docstring": ":param kernel_size (time, frequency)",
"name": "__init__",
"signature": "def __init__(self, in_channels, filters, out_channels, kernel_size=(5, 2), dilation=(1, 1))"
},
{
"docstring": "input: [B, C, T, F]",
"name": "forward",
"signature": "def forward(self, input)"
}
] | 2 | null | Implement the Python class `SepConv` described below.
Class description:
Implement the SepConv class.
Method signatures and docstrings:
- def __init__(self, in_channels, filters, out_channels, kernel_size=(5, 2), dilation=(1, 1)): :param kernel_size (time, frequency)
- def forward(self, input): input: [B, C, T, F] | Implement the Python class `SepConv` described below.
Class description:
Implement the SepConv class.
Method signatures and docstrings:
- def __init__(self, in_channels, filters, out_channels, kernel_size=(5, 2), dilation=(1, 1)): :param kernel_size (time, frequency)
- def forward(self, input): input: [B, C, T, F]
<... | 8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6 | <|skeleton|>
class SepConv:
def __init__(self, in_channels, filters, out_channels, kernel_size=(5, 2), dilation=(1, 1)):
""":param kernel_size (time, frequency)"""
<|body_0|>
def forward(self, input):
"""input: [B, C, T, F]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SepConv:
def __init__(self, in_channels, filters, out_channels, kernel_size=(5, 2), dilation=(1, 1)):
""":param kernel_size (time, frequency)"""
super(SepConv, self).__init__()
self.dconv = nn.Conv2d(in_channels, in_channels * filters, kernel_size, dilation=dilation, groups=in_channels... | the_stack_v2_python_sparse | ai/modelscope/modelscope/models/audio/aec/layers/uni_deep_fsmn.py | alldatacenter/alldata | train | 774 | |
e2f870a282722fcbb33fd24ee9b269ef69147939 | [
"self.dag_application_server_info_list = dag_application_server_info_list\nself.exchange_dag_protection_preference = exchange_dag_protection_preference\nself.guid = guid\nself.name = name",
"if dictionary is None:\n return None\ndag_application_server_info_list = None\nif dictionary.get('dagApplicationServerIn... | <|body_start_0|>
self.dag_application_server_info_list = dag_application_server_info_list
self.exchange_dag_protection_preference = exchange_dag_protection_preference
self.guid = guid
self.name = name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None... | Implementation of the 'DagInfo' model. Specifies the information about the DAG(Database availability group). Attributes: dag_application_server_info_list (list of DagApplicationServerInfo): Specifies the status of all the Exchange Application Servers that are part of this DAG. exchange_dag_protection_preference (Exchan... | DagInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DagInfo:
"""Implementation of the 'DagInfo' model. Specifies the information about the DAG(Database availability group). Attributes: dag_application_server_info_list (list of DagApplicationServerInfo): Specifies the status of all the Exchange Application Servers that are part of this DAG. exchang... | stack_v2_sparse_classes_10k_train_008281 | 3,283 | permissive | [
{
"docstring": "Constructor for the DagInfo class",
"name": "__init__",
"signature": "def __init__(self, dag_application_server_info_list=None, exchange_dag_protection_preference=None, guid=None, name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary ... | 2 | null | Implement the Python class `DagInfo` described below.
Class description:
Implementation of the 'DagInfo' model. Specifies the information about the DAG(Database availability group). Attributes: dag_application_server_info_list (list of DagApplicationServerInfo): Specifies the status of all the Exchange Application Ser... | Implement the Python class `DagInfo` described below.
Class description:
Implementation of the 'DagInfo' model. Specifies the information about the DAG(Database availability group). Attributes: dag_application_server_info_list (list of DagApplicationServerInfo): Specifies the status of all the Exchange Application Ser... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class DagInfo:
"""Implementation of the 'DagInfo' model. Specifies the information about the DAG(Database availability group). Attributes: dag_application_server_info_list (list of DagApplicationServerInfo): Specifies the status of all the Exchange Application Servers that are part of this DAG. exchang... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DagInfo:
"""Implementation of the 'DagInfo' model. Specifies the information about the DAG(Database availability group). Attributes: dag_application_server_info_list (list of DagApplicationServerInfo): Specifies the status of all the Exchange Application Servers that are part of this DAG. exchange_dag_protect... | the_stack_v2_python_sparse | cohesity_management_sdk/models/dag_info.py | cohesity/management-sdk-python | train | 24 |
aa046820e8fc249515cce130237f2fc992825129 | [
"super(MyImageNet22K, self).__init__(root, *args, **kwargs)\nself.exclude_imagenet1k = exclude_imagenet1k\nself.shuffle_idxs = False\nself.size = size\nif exclude_imagenet1k:\n self.samples = [s for s in self.samples if not any([idx in s[0] for idx in self.imagenet1k_idxs])]",
"path, target = self.samples[inde... | <|body_start_0|>
super(MyImageNet22K, self).__init__(root, *args, **kwargs)
self.exclude_imagenet1k = exclude_imagenet1k
self.shuffle_idxs = False
self.size = size
if exclude_imagenet1k:
self.samples = [s for s in self.samples if not any([idx in s[0] for idx in self.i... | MyImageNet22K | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyImageNet22K:
def __init__(self, root: str, size: torch.Size, exclude_imagenet1k=True, *args, **kwargs):
"""Implements a torchvision style ImageNet22k dataset. The dataset needs to be downloaded manually and put in the according directory. Since the dataset is very large, it happens tha... | stack_v2_sparse_classes_10k_train_008282 | 13,359 | permissive | [
{
"docstring": "Implements a torchvision style ImageNet22k dataset. The dataset needs to be downloaded manually and put in the according directory. Since the dataset is very large, it happens that some of the image files are broken. In this case, a warning is logged during training and a black image is returned... | 2 | stack_v2_sparse_classes_30k_train_005675 | Implement the Python class `MyImageNet22K` described below.
Class description:
Implement the MyImageNet22K class.
Method signatures and docstrings:
- def __init__(self, root: str, size: torch.Size, exclude_imagenet1k=True, *args, **kwargs): Implements a torchvision style ImageNet22k dataset. The dataset needs to be d... | Implement the Python class `MyImageNet22K` described below.
Class description:
Implement the MyImageNet22K class.
Method signatures and docstrings:
- def __init__(self, root: str, size: torch.Size, exclude_imagenet1k=True, *args, **kwargs): Implements a torchvision style ImageNet22k dataset. The dataset needs to be d... | 7af3d8eadabee81ab8f7db5dea7f8389ef090213 | <|skeleton|>
class MyImageNet22K:
def __init__(self, root: str, size: torch.Size, exclude_imagenet1k=True, *args, **kwargs):
"""Implements a torchvision style ImageNet22k dataset. The dataset needs to be downloaded manually and put in the according directory. Since the dataset is very large, it happens tha... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MyImageNet22K:
def __init__(self, root: str, size: torch.Size, exclude_imagenet1k=True, *args, **kwargs):
"""Implements a torchvision style ImageNet22k dataset. The dataset needs to be downloaded manually and put in the according directory. Since the dataset is very large, it happens that some of the ... | the_stack_v2_python_sparse | python/fcdd/datasets/outlier_exposure/imagenet.py | hkhaledmohamed/fcdd | train | 0 | |
dc5e90251ee087fa66c612d57b10581085b11404 | [
"if x < 0:\n return False\ny = self.reverse(x)\nreturn y == x",
"if x is None:\n return None\nif x == 0:\n return 0\nx_str = str(x)\nif x_str.find('-') == -1:\n x_array = list(x_str)\n reversed_array = x_array\n reversed_array.reverse()\n i = 0\n while reversed_array[i] == '0':\n i ... | <|body_start_0|>
if x < 0:
return False
y = self.reverse(x)
return y == x
<|end_body_0|>
<|body_start_1|>
if x is None:
return None
if x == 0:
return 0
x_str = str(x)
if x_str.find('-') == -1:
x_array = list(x_str)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def reverse(self, x):
""":type x: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if x < 0:
return False
y = self.reverse(x)
... | stack_v2_sparse_classes_10k_train_008283 | 2,674 | no_license | [
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
},
{
"docstring": ":type x: int :rtype: int",
"name": "reverse",
"signature": "def reverse(self, x)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def reverse(self, x): :type x: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def reverse(self, x): :type x: int :rtype: int
<|skeleton|>
class Solution:
def isPalindrome(self, x):
""":ty... | 71a02a2c6bc12e86119502c9c4a4b2047b9f3966 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def reverse(self, x):
""":type x: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
if x < 0:
return False
y = self.reverse(x)
return y == x
def reverse(self, x):
""":type x: int :rtype: int"""
if x is None:
return None
if x == 0:
... | the_stack_v2_python_sparse | Math/9. Palindrome Number(easy).py | xilixjd/leetcode | train | 1 | |
76c2520b0dcf2244178ab216bd453ee86868cecc | [
"super().__init__()\nself.accuracy = torchmetrics.Accuracy()\nself.roc_auc = torchmetrics.AUROC(num_classes=2)\nself.auc_score = torchmetrics.AUC()\nself.precision = torchmetrics.Precision()\nself.recall = torchmetrics.Recall()\nself.f1 = torchmetrics.F1()\nself.hamming_distance = torchmetrics.HammingDistance()\nse... | <|body_start_0|>
super().__init__()
self.accuracy = torchmetrics.Accuracy()
self.roc_auc = torchmetrics.AUROC(num_classes=2)
self.auc_score = torchmetrics.AUC()
self.precision = torchmetrics.Precision()
self.recall = torchmetrics.Recall()
self.f1 = torchmetrics.F1... | MetricLogger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MetricLogger:
def __init__(self):
"""Initialize the metrics."""
<|body_0|>
def update(self, y_pred: torch.Tensor, y_true: torch.Tensor) -> None:
"""Update the metrics given the predictions and the ground truth."""
<|body_1|>
def compute(self) -> dict:
... | stack_v2_sparse_classes_10k_train_008284 | 1,953 | permissive | [
{
"docstring": "Initialize the metrics.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Update the metrics given the predictions and the ground truth.",
"name": "update",
"signature": "def update(self, y_pred: torch.Tensor, y_true: torch.Tensor) -> None"
},
... | 3 | stack_v2_sparse_classes_30k_train_000391 | Implement the Python class `MetricLogger` described below.
Class description:
Implement the MetricLogger class.
Method signatures and docstrings:
- def __init__(self): Initialize the metrics.
- def update(self, y_pred: torch.Tensor, y_true: torch.Tensor) -> None: Update the metrics given the predictions and the groun... | Implement the Python class `MetricLogger` described below.
Class description:
Implement the MetricLogger class.
Method signatures and docstrings:
- def __init__(self): Initialize the metrics.
- def update(self, y_pred: torch.Tensor, y_true: torch.Tensor) -> None: Update the metrics given the predictions and the groun... | a5880c1e4051603d65672996b7c8ff204dabbe37 | <|skeleton|>
class MetricLogger:
def __init__(self):
"""Initialize the metrics."""
<|body_0|>
def update(self, y_pred: torch.Tensor, y_true: torch.Tensor) -> None:
"""Update the metrics given the predictions and the ground truth."""
<|body_1|>
def compute(self) -> dict:
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MetricLogger:
def __init__(self):
"""Initialize the metrics."""
super().__init__()
self.accuracy = torchmetrics.Accuracy()
self.roc_auc = torchmetrics.AUROC(num_classes=2)
self.auc_score = torchmetrics.AUC()
self.precision = torchmetrics.Precision()
self... | the_stack_v2_python_sparse | care_nl_ica/metrics/metric_logger.py | rpatrik96/nl-causal-representations | train | 9 | |
1c82d096d7c6bdea7d863c8d1db7ea065e8f127a | [
"raise ApiError(500, 1, 'vlan status is null')\nobj = {'vlan_arr': []}\nargs = Verify.dict(self.req_args, {'limit?': (lambda x: x.type('int') and x > 0, ApiError(400, 1, 'invalid limit')), 'index?': (lambda x: x.type('int') and x > 0, ApiError(400, 1, 'invalid index'))})\narr = vcmd.get_arr_simple('cdbctl read/cdb/... | <|body_start_0|>
raise ApiError(500, 1, 'vlan status is null')
obj = {'vlan_arr': []}
args = Verify.dict(self.req_args, {'limit?': (lambda x: x.type('int') and x > 0, ApiError(400, 1, 'invalid limit')), 'index?': (lambda x: x.type('int') and x > 0, ApiError(400, 1, 'invalid index'))})
ar... | VlanApi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VlanApi:
def get(self):
"""get vlan array"""
<|body_0|>
def post(self):
"""add vlan"""
<|body_1|>
def put(self):
"""modify vlan name"""
<|body_2|>
def delete(self):
"""delete vlans"""
<|body_3|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_10k_train_008285 | 3,263 | no_license | [
{
"docstring": "get vlan array",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "add vlan",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "modify vlan name",
"name": "put",
"signature": "def put(self)"
},
{
"docstring": "delete vla... | 4 | stack_v2_sparse_classes_30k_train_006718 | Implement the Python class `VlanApi` described below.
Class description:
Implement the VlanApi class.
Method signatures and docstrings:
- def get(self): get vlan array
- def post(self): add vlan
- def put(self): modify vlan name
- def delete(self): delete vlans | Implement the Python class `VlanApi` described below.
Class description:
Implement the VlanApi class.
Method signatures and docstrings:
- def get(self): get vlan array
- def post(self): add vlan
- def put(self): modify vlan name
- def delete(self): delete vlans
<|skeleton|>
class VlanApi:
def get(self):
... | 2fee6115caec25fd040188dda0cb922bfca1a55f | <|skeleton|>
class VlanApi:
def get(self):
"""get vlan array"""
<|body_0|>
def post(self):
"""add vlan"""
<|body_1|>
def put(self):
"""modify vlan name"""
<|body_2|>
def delete(self):
"""delete vlans"""
<|body_3|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class VlanApi:
def get(self):
"""get vlan array"""
raise ApiError(500, 1, 'vlan status is null')
obj = {'vlan_arr': []}
args = Verify.dict(self.req_args, {'limit?': (lambda x: x.type('int') and x > 0, ApiError(400, 1, 'invalid limit')), 'index?': (lambda x: x.type('int') and x > 0, A... | the_stack_v2_python_sparse | osp_sai_2.1.8/system/apps/web/api_class/vlan.py | bonald/vim_cfg | train | 0 | |
dbc61411abf958bf9fcf1f49785c2ac5ac04d37c | [
"for state in connection_states:\n if state not in constants.TCPConnectionState.STATES:\n raise ValueError('Expected connection state not defined: %s' % state)\nip_address = ip_address or ''\nport = port or ''\ncmd = 'esxcli network ip connection list | grep %s:%s' % (ip_address, port)\nif keywords:\n ... | <|body_start_0|>
for state in connection_states:
if state not in constants.TCPConnectionState.STATES:
raise ValueError('Expected connection state not defined: %s' % state)
ip_address = ip_address or ''
port = port or ''
cmd = 'esxcli network ip connection list... | ESX55OSImpl | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ESX55OSImpl:
def get_tcp_connection_count(cls, client_object, ip_address=None, port=None, connection_states=None, keywords=None, **kwargs):
"""Returns the tcp connection count using netstat command matching the given parameters. @type ip_address: string @param ip_address: Check connectio... | stack_v2_sparse_classes_10k_train_008286 | 3,893 | no_license | [
{
"docstring": "Returns the tcp connection count using netstat command matching the given parameters. @type ip_address: string @param ip_address: Check connection to this IP address. @type port: integer @param port: Check connection state to this port number. @type connection_states: list @param connection_stat... | 3 | null | Implement the Python class `ESX55OSImpl` described below.
Class description:
Implement the ESX55OSImpl class.
Method signatures and docstrings:
- def get_tcp_connection_count(cls, client_object, ip_address=None, port=None, connection_states=None, keywords=None, **kwargs): Returns the tcp connection count using netsta... | Implement the Python class `ESX55OSImpl` described below.
Class description:
Implement the ESX55OSImpl class.
Method signatures and docstrings:
- def get_tcp_connection_count(cls, client_object, ip_address=None, port=None, connection_states=None, keywords=None, **kwargs): Returns the tcp connection count using netsta... | 5b55817c050b637e2747084290f6206d2e622938 | <|skeleton|>
class ESX55OSImpl:
def get_tcp_connection_count(cls, client_object, ip_address=None, port=None, connection_states=None, keywords=None, **kwargs):
"""Returns the tcp connection count using netstat command matching the given parameters. @type ip_address: string @param ip_address: Check connectio... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ESX55OSImpl:
def get_tcp_connection_count(cls, client_object, ip_address=None, port=None, connection_states=None, keywords=None, **kwargs):
"""Returns the tcp connection count using netstat command matching the given parameters. @type ip_address: string @param ip_address: Check connection to this IP a... | the_stack_v2_python_sparse | SystemTesting/pylib/vmware/vsphere/esx/cli/esx55_os_impl.py | Cloudxtreme/MyProject | train | 0 | |
e9f85e9444611e7bbef2d8078118f116066da014 | [
"powerset = []\nself.generate_powerset(0, [], inputSet, powerset)\nreturn powerset",
"if current_index == len(input_set):\n powerset.append(deepcopy(selected_so_far))\n return\n\"\\n Recurse WITH the item at 'currentIndex' in the powerset we\\n are working on.\\n \"\nselected_so_far.app... | <|body_start_0|>
powerset = []
self.generate_powerset(0, [], inputSet, powerset)
return powerset
<|end_body_0|>
<|body_start_1|>
if current_index == len(input_set):
powerset.append(deepcopy(selected_so_far))
return
"\n Recurse WITH the item at 'cur... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def powerset(self, inputSet):
"""Interface ---- :type inputSet: list of int :rtype: list of list of int Approach ---- 1. Draw the recursion tree 2. Establish a policy and the associated logic to enforce at each stack frame 3. Establish constraints and backtracking conditions Co... | stack_v2_sparse_classes_10k_train_008287 | 2,563 | no_license | [
{
"docstring": "Interface ---- :type inputSet: list of int :rtype: list of list of int Approach ---- 1. Draw the recursion tree 2. Establish a policy and the associated logic to enforce at each stack frame 3. Establish constraints and backtracking conditions Complexity ---- Recurrence relation T(N) = 2T(N-1) + ... | 2 | stack_v2_sparse_classes_30k_train_002466 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def powerset(self, inputSet): Interface ---- :type inputSet: list of int :rtype: list of list of int Approach ---- 1. Draw the recursion tree 2. Establish a policy and the associ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def powerset(self, inputSet): Interface ---- :type inputSet: list of int :rtype: list of list of int Approach ---- 1. Draw the recursion tree 2. Establish a policy and the associ... | c0d49423885832b616ae3c7cd58e8f24c17cfd4d | <|skeleton|>
class Solution:
def powerset(self, inputSet):
"""Interface ---- :type inputSet: list of int :rtype: list of list of int Approach ---- 1. Draw the recursion tree 2. Establish a policy and the associated logic to enforce at each stack frame 3. Establish constraints and backtracking conditions Co... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def powerset(self, inputSet):
"""Interface ---- :type inputSet: list of int :rtype: list of list of int Approach ---- 1. Draw the recursion tree 2. Establish a policy and the associated logic to enforce at each stack frame 3. Establish constraints and backtracking conditions Complexity ---- ... | the_stack_v2_python_sparse | backtracking_algorithms/powerSet.py | miaviles/Data-Structures-Algorithms-Python | train | 0 | |
77e962aba1379118a851595e611258fb5586b7d8 | [
"if not board or not board[0]:\n return\nprevious = [0] * len(board[0])\nsurround = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\nfor i in range(len(board)):\n left, tmp_previous = (0, board[i].copy())\n for j in range(len(board[0])):\n sum_, tmp = (0, board[i][j])\n ... | <|body_start_0|>
if not board or not board[0]:
return
previous = [0] * len(board[0])
surround = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]
for i in range(len(board)):
left, tmp_previous = (0, board[i].copy())
for j in range(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_0|>
def gameOfLife1(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_... | stack_v2_sparse_classes_10k_train_008288 | 2,741 | no_license | [
{
"docstring": "Do not return anything, modify board in-place instead.",
"name": "gameOfLife",
"signature": "def gameOfLife(self, board: List[List[int]]) -> None"
},
{
"docstring": "Do not return anything, modify board in-place instead.",
"name": "gameOfLife1",
"signature": "def gameOfLi... | 2 | stack_v2_sparse_classes_30k_train_004016 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board: List[List[int]]) -> None: Do not return anything, modify board in-place instead.
- def gameOfLife1(self, board: List[List[int]]) -> None: Do not retur... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board: List[List[int]]) -> None: Do not return anything, modify board in-place instead.
- def gameOfLife1(self, board: List[List[int]]) -> None: Do not retur... | e2fecd266bfced6208694b19a2d81182b13dacd6 | <|skeleton|>
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_0|>
def gameOfLife1(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""Do not return anything, modify board in-place instead."""
if not board or not board[0]:
return
previous = [0] * len(board[0])
surround = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0),... | the_stack_v2_python_sparse | gameOfLife.py | HuipengXu/leetcode | train | 0 | |
8f9b24eec01e3b2bedc2d29dec72bb56a49ab782 | [
"self.entity_description = description\nself._build = None\nself._data = data\nself._repo_name = repo_name\nself._user = user\nself._branch = branch\nself._attr_name = f'{repo_name} {description.name}'",
"attrs = {}\nif self._build and self._attr_native_value is not None:\n if self._user and self.entity_descri... | <|body_start_0|>
self.entity_description = description
self._build = None
self._data = data
self._repo_name = repo_name
self._user = user
self._branch = branch
self._attr_name = f'{repo_name} {description.name}'
<|end_body_0|>
<|body_start_1|>
attrs = {}
... | Representation of a Travis CI sensor. | TravisCISensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TravisCISensor:
"""Representation of a Travis CI sensor."""
def __init__(self, data, repo_name, user, branch, description: SensorEntityDescription) -> None:
"""Initialize the sensor."""
<|body_0|>
def extra_state_attributes(self):
"""Return the state attributes."... | stack_v2_sparse_classes_10k_train_008289 | 5,862 | permissive | [
{
"docstring": "Initialize the sensor.",
"name": "__init__",
"signature": "def __init__(self, data, repo_name, user, branch, description: SensorEntityDescription) -> None"
},
{
"docstring": "Return the state attributes.",
"name": "extra_state_attributes",
"signature": "def extra_state_at... | 3 | stack_v2_sparse_classes_30k_train_003201 | Implement the Python class `TravisCISensor` described below.
Class description:
Representation of a Travis CI sensor.
Method signatures and docstrings:
- def __init__(self, data, repo_name, user, branch, description: SensorEntityDescription) -> None: Initialize the sensor.
- def extra_state_attributes(self): Return t... | Implement the Python class `TravisCISensor` described below.
Class description:
Representation of a Travis CI sensor.
Method signatures and docstrings:
- def __init__(self, data, repo_name, user, branch, description: SensorEntityDescription) -> None: Initialize the sensor.
- def extra_state_attributes(self): Return t... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class TravisCISensor:
"""Representation of a Travis CI sensor."""
def __init__(self, data, repo_name, user, branch, description: SensorEntityDescription) -> None:
"""Initialize the sensor."""
<|body_0|>
def extra_state_attributes(self):
"""Return the state attributes."... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TravisCISensor:
"""Representation of a Travis CI sensor."""
def __init__(self, data, repo_name, user, branch, description: SensorEntityDescription) -> None:
"""Initialize the sensor."""
self.entity_description = description
self._build = None
self._data = data
self... | the_stack_v2_python_sparse | homeassistant/components/travisci/sensor.py | home-assistant/core | train | 35,501 |
10b004d7e3063e1db2599848bc6c1de807c0cecc | [
"if obj is None:\n return getattr(self, 'model', None)\nreturn obj.__class__",
"excluded_fields = super().get_exclude(request, obj=obj)\nif self.admin_integration_enabled:\n model_cls = self.get_model_cls(obj)\n if model_cls:\n excluded_fields = list({*model_cls.Moderation.excluded_fields, *exclud... | <|body_start_0|>
if obj is None:
return getattr(self, 'model', None)
return obj.__class__
<|end_body_0|>
<|body_start_1|>
excluded_fields = super().get_exclude(request, obj=obj)
if self.admin_integration_enabled:
model_cls = self.get_model_cls(obj)
if... | Admin for models requiring moderation. | ModeratedModelAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModeratedModelAdmin:
"""Admin for models requiring moderation."""
def get_model_cls(self, obj: Optional['ModeratedModel']=None) -> Optional[type['ModeratedModel']]:
"""Return the class of the moderated model."""
<|body_0|>
def get_exclude(self, request: 'HttpRequest', ob... | stack_v2_sparse_classes_10k_train_008290 | 6,185 | no_license | [
{
"docstring": "Return the class of the moderated model.",
"name": "get_model_cls",
"signature": "def get_model_cls(self, obj: Optional['ModeratedModel']=None) -> Optional[type['ModeratedModel']]"
},
{
"docstring": "Return the fields to be excluded from the admin form.",
"name": "get_exclude... | 5 | stack_v2_sparse_classes_30k_test_000299 | Implement the Python class `ModeratedModelAdmin` described below.
Class description:
Admin for models requiring moderation.
Method signatures and docstrings:
- def get_model_cls(self, obj: Optional['ModeratedModel']=None) -> Optional[type['ModeratedModel']]: Return the class of the moderated model.
- def get_exclude(... | Implement the Python class `ModeratedModelAdmin` described below.
Class description:
Admin for models requiring moderation.
Method signatures and docstrings:
- def get_model_cls(self, obj: Optional['ModeratedModel']=None) -> Optional[type['ModeratedModel']]: Return the class of the moderated model.
- def get_exclude(... | 8bbdc8eec3622af22c17214051c34e36bea8e05a | <|skeleton|>
class ModeratedModelAdmin:
"""Admin for models requiring moderation."""
def get_model_cls(self, obj: Optional['ModeratedModel']=None) -> Optional[type['ModeratedModel']]:
"""Return the class of the moderated model."""
<|body_0|>
def get_exclude(self, request: 'HttpRequest', ob... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ModeratedModelAdmin:
"""Admin for models requiring moderation."""
def get_model_cls(self, obj: Optional['ModeratedModel']=None) -> Optional[type['ModeratedModel']]:
"""Return the class of the moderated model."""
if obj is None:
return getattr(self, 'model', None)
retur... | the_stack_v2_python_sparse | apps/moderation/admin/moderated_model/admin.py | abdulwahed-mansour/modularhistory | train | 1 |
c38fd6ce2c3d7cb7414613c5b16789f4fe2d8031 | [
"if len(nums) < 2:\n return len(nums)\n_nums, cnt, result = (sorted(nums), 1, 0)\nfor i in xrange(1, len(_nums)):\n if _nums[i] - _nums[i - 1] == 1:\n cnt += 1\n else:\n result = max(cnt, result)\n cnt = 1\nreturn max(result, cnt)",
"nums = set(nums)\nif len(nums) < 2:\n return le... | <|body_start_0|>
if len(nums) < 2:
return len(nums)
_nums, cnt, result = (sorted(nums), 1, 0)
for i in xrange(1, len(_nums)):
if _nums[i] - _nums[i - 1] == 1:
cnt += 1
else:
result = max(cnt, result)
cnt = 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestConsecutive1(self, nums):
""":type nums: List[int] :rtype: int 明显超时(NlogN)"""
<|body_0|>
def longestConsecutive2(self, nums):
""":type nums: List[int] :rtype: int unionfind(N)"""
<|body_1|>
def longestConsecutive(self, nums):
... | stack_v2_sparse_classes_10k_train_008291 | 2,676 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int 明显超时(NlogN)",
"name": "longestConsecutive1",
"signature": "def longestConsecutive1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int unionfind(N)",
"name": "longestConsecutive2",
"signature": "def longestConsecutive2(self,... | 3 | stack_v2_sparse_classes_30k_train_006033 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestConsecutive1(self, nums): :type nums: List[int] :rtype: int 明显超时(NlogN)
- def longestConsecutive2(self, nums): :type nums: List[int] :rtype: int unionfind(N)
- def lon... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestConsecutive1(self, nums): :type nums: List[int] :rtype: int 明显超时(NlogN)
- def longestConsecutive2(self, nums): :type nums: List[int] :rtype: int unionfind(N)
- def lon... | 9687f8e743a8b6396fff192f22b5256d1025f86b | <|skeleton|>
class Solution:
def longestConsecutive1(self, nums):
""":type nums: List[int] :rtype: int 明显超时(NlogN)"""
<|body_0|>
def longestConsecutive2(self, nums):
""":type nums: List[int] :rtype: int unionfind(N)"""
<|body_1|>
def longestConsecutive(self, nums):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def longestConsecutive1(self, nums):
""":type nums: List[int] :rtype: int 明显超时(NlogN)"""
if len(nums) < 2:
return len(nums)
_nums, cnt, result = (sorted(nums), 1, 0)
for i in xrange(1, len(_nums)):
if _nums[i] - _nums[i - 1] == 1:
... | the_stack_v2_python_sparse | 2017/array/Longest_Consecutive_Sequence.py | buhuipao/LeetCode | train | 5 | |
e40f5025c78cf16e3e0fae8e3f3c588fc5fe2a36 | [
"self.active_sessions = active_sessions\nself.file_path = file_path\nself.view_id = view_id\nself.view_name = view_name",
"if dictionary is None:\n return None\nactive_sessions = None\nif dictionary.get('activeSessions') != None:\n active_sessions = list()\n for structure in dictionary.get('activeSession... | <|body_start_0|>
self.active_sessions = active_sessions
self.file_path = file_path
self.view_id = view_id
self.view_name = view_name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
active_sessions = None
if dictionary.get('activeSes... | Implementation of the 'SmbActiveFilePath' model. Specifies a file path in an SMB view that has active sessions and opens. Attributes: active_sessions (list of SmbActiveSession): Specifies the sessions where the file is open. file_path (string): Specifies the filepath in the view. view_id (long|int): Specifies the id of... | SmbActiveFilePath | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SmbActiveFilePath:
"""Implementation of the 'SmbActiveFilePath' model. Specifies a file path in an SMB view that has active sessions and opens. Attributes: active_sessions (list of SmbActiveSession): Specifies the sessions where the file is open. file_path (string): Specifies the filepath in the ... | stack_v2_sparse_classes_10k_train_008292 | 2,539 | permissive | [
{
"docstring": "Constructor for the SmbActiveFilePath class",
"name": "__init__",
"signature": "def __init__(self, active_sessions=None, file_path=None, view_id=None, view_name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictiona... | 2 | stack_v2_sparse_classes_30k_val_000226 | Implement the Python class `SmbActiveFilePath` described below.
Class description:
Implementation of the 'SmbActiveFilePath' model. Specifies a file path in an SMB view that has active sessions and opens. Attributes: active_sessions (list of SmbActiveSession): Specifies the sessions where the file is open. file_path (... | Implement the Python class `SmbActiveFilePath` described below.
Class description:
Implementation of the 'SmbActiveFilePath' model. Specifies a file path in an SMB view that has active sessions and opens. Attributes: active_sessions (list of SmbActiveSession): Specifies the sessions where the file is open. file_path (... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class SmbActiveFilePath:
"""Implementation of the 'SmbActiveFilePath' model. Specifies a file path in an SMB view that has active sessions and opens. Attributes: active_sessions (list of SmbActiveSession): Specifies the sessions where the file is open. file_path (string): Specifies the filepath in the ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SmbActiveFilePath:
"""Implementation of the 'SmbActiveFilePath' model. Specifies a file path in an SMB view that has active sessions and opens. Attributes: active_sessions (list of SmbActiveSession): Specifies the sessions where the file is open. file_path (string): Specifies the filepath in the view. view_id... | the_stack_v2_python_sparse | cohesity_management_sdk/models/smb_active_file_path.py | cohesity/management-sdk-python | train | 24 |
baaf9649b84c2f922dbe86dabe06cfcde8e925fc | [
"def preorder(node):\n if node is None:\n serial.append('#')\n else:\n serial.append(str(node.val))\n preorder(node.left)\n preorder(node.right)\nif root is None:\n return ''\nserial = []\npreorder(root)\nreturn ','.join(serial)",
"if data == '':\n return None\nserial = dat... | <|body_start_0|>
def preorder(node):
if node is None:
serial.append('#')
else:
serial.append(str(node.val))
preorder(node.left)
preorder(node.right)
if root is None:
return ''
serial = []
... | 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_10k_train_008293 | 1,764 | 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 | null | 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:... | e12025e754547d18d5bb50a9dbe5e725fd03fd9c | <|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_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def preorder(node):
if node is None:
serial.append('#')
else:
serial.append(str(node.val))
preorder(node.left)
... | the_stack_v2_python_sparse | leetcode_review/297serialize_and_deserialize_BT.py | clovery410/mycode | train | 1 | |
2908fbce074f74864e6eb5ccc7583ff65c3eda16 | [
"obj = cls()\ncrawler.signals.connect(obj.spider_error, signal=signals.spider_error)\nreturn obj",
"if 'errors' not in spider.state:\n spider.state['errors'] = []\nspider.state['errors'].append({'exception': failure, 'sender': response})"
] | <|body_start_0|>
obj = cls()
crawler.signals.connect(obj.spider_error, signal=signals.spider_error)
return obj
<|end_body_0|>
<|body_start_1|>
if 'errors' not in spider.state:
spider.state['errors'] = []
spider.state['errors'].append({'exception': failure, 'sender': ... | ErrorHandler | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ErrorHandler:
def from_crawler(cls, crawler, client=None, dsn=None):
"""Hook in the signal for errors."""
<|body_0|>
def spider_error(self, failure, response, spider, signal=None, sender=None, *args, **kwargs):
"""Register the error in the spider and continue."""
... | stack_v2_sparse_classes_10k_train_008294 | 1,511 | permissive | [
{
"docstring": "Hook in the signal for errors.",
"name": "from_crawler",
"signature": "def from_crawler(cls, crawler, client=None, dsn=None)"
},
{
"docstring": "Register the error in the spider and continue.",
"name": "spider_error",
"signature": "def spider_error(self, failure, response... | 2 | stack_v2_sparse_classes_30k_train_004979 | Implement the Python class `ErrorHandler` described below.
Class description:
Implement the ErrorHandler class.
Method signatures and docstrings:
- def from_crawler(cls, crawler, client=None, dsn=None): Hook in the signal for errors.
- def spider_error(self, failure, response, spider, signal=None, sender=None, *args,... | Implement the Python class `ErrorHandler` described below.
Class description:
Implement the ErrorHandler class.
Method signatures and docstrings:
- def from_crawler(cls, crawler, client=None, dsn=None): Hook in the signal for errors.
- def spider_error(self, failure, response, spider, signal=None, sender=None, *args,... | e645cc3dbfe74141c00f8e42e6fbc603e878af36 | <|skeleton|>
class ErrorHandler:
def from_crawler(cls, crawler, client=None, dsn=None):
"""Hook in the signal for errors."""
<|body_0|>
def spider_error(self, failure, response, spider, signal=None, sender=None, *args, **kwargs):
"""Register the error in the spider and continue."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ErrorHandler:
def from_crawler(cls, crawler, client=None, dsn=None):
"""Hook in the signal for errors."""
obj = cls()
crawler.signals.connect(obj.spider_error, signal=signals.spider_error)
return obj
def spider_error(self, failure, response, spider, signal=None, sender=Non... | the_stack_v2_python_sparse | hepcrawl/extensions.py | inspirehep/hepcrawl | train | 21 | |
6b195ac6442a1965b29863fe210658327ae9ea5b | [
"def residual(x):\n y_, log_dy_dx = bijection(x)\n return (y_ - y, log_dy_dx)\nwith torch.no_grad():\n x, log_dx_dy = root_finder(residual, x0=y)\nctx.save_for_backward(x, *params)\nctx.bijection = bijection\nreturn (x, log_dx_dy)",
"x, *params = ctx.saved_tensors\nwith torch.enable_grad():\n x = x.de... | <|body_start_0|>
def residual(x):
y_, log_dy_dx = bijection(x)
return (y_ - y, log_dy_dx)
with torch.no_grad():
x, log_dx_dy = root_finder(residual, x0=y)
ctx.save_for_backward(x, *params)
ctx.bijection = bijection
return (x, log_dx_dy)
<|end_b... | First-order-differentiation of an elementwise bijection under black-box inversion. | DifferentiableApproximateInverse | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DifferentiableApproximateInverse:
"""First-order-differentiation of an elementwise bijection under black-box inversion."""
def forward(ctx, root_finder, bijection, y, *params):
"""Inverse pass Parameters ---------- ctx : object context object to stash information for the backward cal... | stack_v2_sparse_classes_10k_train_008295 | 8,727 | no_license | [
{
"docstring": "Inverse pass Parameters ---------- ctx : object context object to stash information for the backward call root_finder : Callable Root finding method, which takes two parameters (residue, x0) bijection : Flow a flow object, whose forward function returns (y, dlogp) y : torch.Tensor the input to t... | 2 | stack_v2_sparse_classes_30k_train_004777 | Implement the Python class `DifferentiableApproximateInverse` described below.
Class description:
First-order-differentiation of an elementwise bijection under black-box inversion.
Method signatures and docstrings:
- def forward(ctx, root_finder, bijection, y, *params): Inverse pass Parameters ---------- ctx : object... | Implement the Python class `DifferentiableApproximateInverse` described below.
Class description:
First-order-differentiation of an elementwise bijection under black-box inversion.
Method signatures and docstrings:
- def forward(ctx, root_finder, bijection, y, *params): Inverse pass Parameters ---------- ctx : object... | 15835d43a5ec2d29f05d325d65ffd973a6c8a201 | <|skeleton|>
class DifferentiableApproximateInverse:
"""First-order-differentiation of an elementwise bijection under black-box inversion."""
def forward(ctx, root_finder, bijection, y, *params):
"""Inverse pass Parameters ---------- ctx : object context object to stash information for the backward cal... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DifferentiableApproximateInverse:
"""First-order-differentiation of an elementwise bijection under black-box inversion."""
def forward(ctx, root_finder, bijection, y, *params):
"""Inverse pass Parameters ---------- ctx : object context object to stash information for the backward call root_finder... | the_stack_v2_python_sparse | bgflow/bgflow/nn/flow/root_finding/approx_inverse.py | noegroup/smooth_normalizing_flows | train | 1 |
0886b848387c9429222689b57906509c38b56c28 | [
"from readthedocs.projects.models import Project\nproject = Project.objects.get(slug=project_slug)\nbase_project = project.publisherproject_set.all().first()\nif not base_project or private:\n return super(ItaliaResolver, self).base_resolve_path(project_slug, filename, version_slug, language, private, single_ver... | <|body_start_0|>
from readthedocs.projects.models import Project
project = Project.objects.get(slug=project_slug)
base_project = project.publisherproject_set.all().first()
if not base_project or private:
return super(ItaliaResolver, self).base_resolve_path(project_slug, filen... | Custom path resolver for built documentation. Resolves to public domain without use of subdomains or /doc/* paths. It also takes publisher into account | ItaliaResolver | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ItaliaResolver:
"""Custom path resolver for built documentation. Resolves to public domain without use of subdomains or /doc/* paths. It also takes publisher into account"""
def base_resolve_path(self, project_slug, filename, version_slug=None, language=None, private=False, single_version=No... | stack_v2_sparse_classes_10k_train_008296 | 4,501 | permissive | [
{
"docstring": "Generates the URL for a document according to its project / publisher. :param project_slug: project (document) slug :param filename: filename :param version_slug: version slug :param language: language :param private: if document is private :param single_version: if document has single version :... | 4 | stack_v2_sparse_classes_30k_train_003287 | Implement the Python class `ItaliaResolver` described below.
Class description:
Custom path resolver for built documentation. Resolves to public domain without use of subdomains or /doc/* paths. It also takes publisher into account
Method signatures and docstrings:
- def base_resolve_path(self, project_slug, filename... | Implement the Python class `ItaliaResolver` described below.
Class description:
Custom path resolver for built documentation. Resolves to public domain without use of subdomains or /doc/* paths. It also takes publisher into account
Method signatures and docstrings:
- def base_resolve_path(self, project_slug, filename... | 649965d7589eb1d30efdc7906c3ee7dc5a9e3656 | <|skeleton|>
class ItaliaResolver:
"""Custom path resolver for built documentation. Resolves to public domain without use of subdomains or /doc/* paths. It also takes publisher into account"""
def base_resolve_path(self, project_slug, filename, version_slug=None, language=None, private=False, single_version=No... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ItaliaResolver:
"""Custom path resolver for built documentation. Resolves to public domain without use of subdomains or /doc/* paths. It also takes publisher into account"""
def base_resolve_path(self, project_slug, filename, version_slug=None, language=None, private=False, single_version=None, subprojec... | the_stack_v2_python_sparse | readthedocs/docsitalia/resolver.py | italia/docs.italia.it | train | 19 |
02e50c1fdea9d978bdbe871b6aea8dd91bf72334 | [
"if not T:\n return []\nif len(T) == 1:\n return [0]\nres = [0 for _ in range(len(T))]\ntem_list = [None for _ in range(len(T))]\nfor index, each in enumerate(T):\n tem_list[index] = set(range(each + 1, 101))\n if index != 0 and each > T[index - 1]:\n for i in range(index, -1, -1):\n i... | <|body_start_0|>
if not T:
return []
if len(T) == 1:
return [0]
res = [0 for _ in range(len(T))]
tem_list = [None for _ in range(len(T))]
for index, each in enumerate(T):
tem_list[index] = set(range(each + 1, 101))
if index != 0 and... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def dailyTemperatures(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures2(self, T):
""":type T: List[int] :rtype: List[int] 稍微进步点了， 吐血"""
<|body_1|>
def dailyTemperatures3(self, T):
""":type T: List[in... | stack_v2_sparse_classes_10k_train_008297 | 2,144 | no_license | [
{
"docstring": ":type T: List[int] :rtype: List[int]",
"name": "dailyTemperatures",
"signature": "def dailyTemperatures(self, T)"
},
{
"docstring": ":type T: List[int] :rtype: List[int] 稍微进步点了， 吐血",
"name": "dailyTemperatures2",
"signature": "def dailyTemperatures2(self, T)"
},
{
... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures(self, T): :type T: List[int] :rtype: List[int]
- def dailyTemperatures2(self, T): :type T: List[int] :rtype: List[int] 稍微进步点了， 吐血
- def dailyTemperatures3(s... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures(self, T): :type T: List[int] :rtype: List[int]
- def dailyTemperatures2(self, T): :type T: List[int] :rtype: List[int] 稍微进步点了， 吐血
- def dailyTemperatures3(s... | 4105e18050b15fc0409c75353ad31be17187dd34 | <|skeleton|>
class Solution:
def dailyTemperatures(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures2(self, T):
""":type T: List[int] :rtype: List[int] 稍微进步点了， 吐血"""
<|body_1|>
def dailyTemperatures3(self, T):
""":type T: List[in... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def dailyTemperatures(self, T):
""":type T: List[int] :rtype: List[int]"""
if not T:
return []
if len(T) == 1:
return [0]
res = [0 for _ in range(len(T))]
tem_list = [None for _ in range(len(T))]
for index, each in enumerate(T):... | the_stack_v2_python_sparse | dailyTemperatures.py | NeilWangziyu/Leetcode_py | train | 2 | |
8386cc3e6407247fb98fe8bd5e810d6c31436eb9 | [
"self.name = name\nself.age = age\nPerson.Count += 1",
"print('name is ', self.name)\nprint('age is ', self.age)\nprint('there are ' + str(Person.Count) + ' person in the class')"
] | <|body_start_0|>
self.name = name
self.age = age
Person.Count += 1
<|end_body_0|>
<|body_start_1|>
print('name is ', self.name)
print('age is ', self.age)
print('there are ' + str(Person.Count) + ' person in the class')
<|end_body_1|>
| classdocs | Person | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Person:
"""classdocs"""
def __init__(self, name, age):
"""Constructor @param: name the name of this person @param: age the age of this person"""
<|body_0|>
def detail(self):
"""the detail infomation of this person"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_10k_train_008298 | 889 | no_license | [
{
"docstring": "Constructor @param: name the name of this person @param: age the age of this person",
"name": "__init__",
"signature": "def __init__(self, name, age)"
},
{
"docstring": "the detail infomation of this person",
"name": "detail",
"signature": "def detail(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000130 | Implement the Python class `Person` described below.
Class description:
classdocs
Method signatures and docstrings:
- def __init__(self, name, age): Constructor @param: name the name of this person @param: age the age of this person
- def detail(self): the detail infomation of this person | Implement the Python class `Person` described below.
Class description:
classdocs
Method signatures and docstrings:
- def __init__(self, name, age): Constructor @param: name the name of this person @param: age the age of this person
- def detail(self): the detail infomation of this person
<|skeleton|>
class Person:
... | c7dd6def7ec081b483c3a4cfe334d17c049224c2 | <|skeleton|>
class Person:
"""classdocs"""
def __init__(self, name, age):
"""Constructor @param: name the name of this person @param: age the age of this person"""
<|body_0|>
def detail(self):
"""the detail infomation of this person"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Person:
"""classdocs"""
def __init__(self, name, age):
"""Constructor @param: name the name of this person @param: age the age of this person"""
self.name = name
self.age = age
Person.Count += 1
def detail(self):
"""the detail infomation of this person"""
... | the_stack_v2_python_sparse | offline-only/tkinter/jicheng.py | liucz25/FSGL | train | 1 |
675bc42bd2bb86d97d8deea5c91a1ffe8b84fcdd | [
"super(GluonTSModel, self).__init__(model_data, image, role, entry_point, predictor_cls=predictor_cls, **kwargs)\nself.framework_version = framework_version\nself.model_server_workers = model_server_workers",
"is_mms_version = parse_version(self.framework_version) >= parse_version(self._LOWEST_MMS_VERSION)\ndeplo... | <|body_start_0|>
super(GluonTSModel, self).__init__(model_data, image, role, entry_point, predictor_cls=predictor_cls, **kwargs)
self.framework_version = framework_version
self.model_server_workers = model_server_workers
<|end_body_0|>
<|body_start_1|>
is_mms_version = parse_version(sel... | An GluonTS SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``. | GluonTSModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GluonTSModel:
"""An GluonTS SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``."""
def __init__(self, model_data, role, entry_point, image: str=None, framework_version: str=GLUONTS_VERSION, predictor_cls=GluonTSPredictor, model_server_workers: int=None, **kwargs):
"... | stack_v2_sparse_classes_10k_train_008299 | 6,390 | permissive | [
{
"docstring": "Initialize a GluonTSModel. Parameters ---------- model_data: The S3 location of a SageMaker model data ``.tar.gz`` file. role: An AWS IAM role (either name or full ARN). The Amazon SageMaker training jobs and APIs that create Amazon SageMaker endpoints use this role to access training data and m... | 2 | null | Implement the Python class `GluonTSModel` described below.
Class description:
An GluonTS SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``.
Method signatures and docstrings:
- def __init__(self, model_data, role, entry_point, image: str=None, framework_version: str=GLUONTS_VERSION, predictor_cls=Gl... | Implement the Python class `GluonTSModel` described below.
Class description:
An GluonTS SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``.
Method signatures and docstrings:
- def __init__(self, model_data, role, entry_point, image: str=None, framework_version: str=GLUONTS_VERSION, predictor_cls=Gl... | df4256b0e67120db555c109a1bf6cfa2b3bd3cd8 | <|skeleton|>
class GluonTSModel:
"""An GluonTS SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``."""
def __init__(self, model_data, role, entry_point, image: str=None, framework_version: str=GLUONTS_VERSION, predictor_cls=GluonTSPredictor, model_server_workers: int=None, **kwargs):
"... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GluonTSModel:
"""An GluonTS SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``."""
def __init__(self, model_data, role, entry_point, image: str=None, framework_version: str=GLUONTS_VERSION, predictor_cls=GluonTSPredictor, model_server_workers: int=None, **kwargs):
"""Initialize ... | the_stack_v2_python_sparse | src/gluonts/nursery/sagemaker_sdk/model.py | mbohlkeschneider/gluon-ts | train | 54 |
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