blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7d804718a0229d6992798809121cb074f3595806 | [
"params = dict(((key, val) for key, val in request.QUERY_PARAMS.iteritems()))\nparams['image_id'] = image_id\nparams['organism_id'] = organism_id\nform = SingleGetForm(params)\nif not form.is_valid():\n raise BadRequestException()\nreturn Response(form.submit(request))",
"params = dict(((key, val) for key, val... | <|body_start_0|>
params = dict(((key, val) for key, val in request.QUERY_PARAMS.iteritems()))
params['image_id'] = image_id
params['organism_id'] = organism_id
form = SingleGetForm(params)
if not form.is_valid():
raise BadRequestException()
return Response(for... | Class for rendering the view for getting a Organim, deleting a ImageOrganism and updating a ImageOrganism. | ImageOrganismSingle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageOrganismSingle:
"""Class for rendering the view for getting a Organim, deleting a ImageOrganism and updating a ImageOrganism."""
def get(self, request, image_id, organism_id):
"""Method for getting an ImageOrganism."""
<|body_0|>
def delete(self, request, image_id, ... | stack_v2_sparse_classes_75kplus_train_073900 | 2,349 | no_license | [
{
"docstring": "Method for getting an ImageOrganism.",
"name": "get",
"signature": "def get(self, request, image_id, organism_id)"
},
{
"docstring": "Method for deleting an ImageOrganism.",
"name": "delete",
"signature": "def delete(self, request, image_id, organism_id)"
}
] | 2 | null | Implement the Python class `ImageOrganismSingle` described below.
Class description:
Class for rendering the view for getting a Organim, deleting a ImageOrganism and updating a ImageOrganism.
Method signatures and docstrings:
- def get(self, request, image_id, organism_id): Method for getting an ImageOrganism.
- def ... | Implement the Python class `ImageOrganismSingle` described below.
Class description:
Class for rendering the view for getting a Organim, deleting a ImageOrganism and updating a ImageOrganism.
Method signatures and docstrings:
- def get(self, request, image_id, organism_id): Method for getting an ImageOrganism.
- def ... | 22c1ce3c5a8e4ed99c2f014672d60ad3c5a4003c | <|skeleton|>
class ImageOrganismSingle:
"""Class for rendering the view for getting a Organim, deleting a ImageOrganism and updating a ImageOrganism."""
def get(self, request, image_id, organism_id):
"""Method for getting an ImageOrganism."""
<|body_0|>
def delete(self, request, image_id, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImageOrganismSingle:
"""Class for rendering the view for getting a Organim, deleting a ImageOrganism and updating a ImageOrganism."""
def get(self, request, image_id, organism_id):
"""Method for getting an ImageOrganism."""
params = dict(((key, val) for key, val in request.QUERY_PARAMS.it... | the_stack_v2_python_sparse | biodig/rest/v2/ImageOrganisms/views.py | asmariyaz23/BioDIG | train | 0 |
c1f68990bba40b5def56350b367db36bd8f19b57 | [
"try:\n for q in question:\n int(q)\nexcept Exception as e:\n logger.error(f'format_question: Asking non-int tables {e}')\nspeech_list = (' ', str(question[0]), ' times ', str(question[1]))\nreturn ''.join(speech_list)",
"question = QuestionAttr.get_question_tables(handler_input, integers=False)\nq... | <|body_start_0|>
try:
for q in question:
int(q)
except Exception as e:
logger.error(f'format_question: Asking non-int tables {e}')
speech_list = (' ', str(question[0]), ' times ', str(question[1]))
return ''.join(speech_list)
<|end_body_0|>
<|bo... | GenQuestions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GenQuestions:
def format_question(question: tuple) -> str:
"""Formats the question for Alexa <speak>"""
<|body_0|>
def get_same_question(handler_input) -> str:
"""Returns the same question to the user."""
<|body_1|>
def check_same_question(handler_input,... | stack_v2_sparse_classes_75kplus_train_073901 | 1,723 | permissive | [
{
"docstring": "Formats the question for Alexa <speak>",
"name": "format_question",
"signature": "def format_question(question: tuple) -> str"
},
{
"docstring": "Returns the same question to the user.",
"name": "get_same_question",
"signature": "def get_same_question(handler_input) -> st... | 3 | stack_v2_sparse_classes_30k_train_044444 | Implement the Python class `GenQuestions` described below.
Class description:
Implement the GenQuestions class.
Method signatures and docstrings:
- def format_question(question: tuple) -> str: Formats the question for Alexa <speak>
- def get_same_question(handler_input) -> str: Returns the same question to the user.
... | Implement the Python class `GenQuestions` described below.
Class description:
Implement the GenQuestions class.
Method signatures and docstrings:
- def format_question(question: tuple) -> str: Formats the question for Alexa <speak>
- def get_same_question(handler_input) -> str: Returns the same question to the user.
... | 1072dea1a5be0b339211ff39db6a89a90aca64c1 | <|skeleton|>
class GenQuestions:
def format_question(question: tuple) -> str:
"""Formats the question for Alexa <speak>"""
<|body_0|>
def get_same_question(handler_input) -> str:
"""Returns the same question to the user."""
<|body_1|>
def check_same_question(handler_input,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GenQuestions:
def format_question(question: tuple) -> str:
"""Formats the question for Alexa <speak>"""
try:
for q in question:
int(q)
except Exception as e:
logger.error(f'format_question: Asking non-int tables {e}')
speech_list = (' '... | the_stack_v2_python_sparse | 1_code/mult_questions/gen_questions.py | jaimiles23/Multiplication-Medley | train | 0 | |
79f72871b84abe662d35840e1283341206ecc088 | [
"self.acno = int(raw_input('enter accont no : '))\nself.acname = raw_input('enter accont h name : ')\nself.acbal = float(raw_input('enter accont blance : '))",
"self.acno = int(raw_input('enter accont no : '))\nself.acname = raw_input('enter accont h name : ')\nself.acbal = float(raw_input('enter accont blance : ... | <|body_start_0|>
self.acno = int(raw_input('enter accont no : '))
self.acname = raw_input('enter accont h name : ')
self.acbal = float(raw_input('enter accont blance : '))
<|end_body_0|>
<|body_start_1|>
self.acno = int(raw_input('enter accont no : '))
self.acname = raw_input('e... | to define account class woth account info and operations | account | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class account:
"""to define account class woth account info and operations"""
def __init__(self):
"""to initialise instance variables"""
<|body_0|>
def setaccountinfo(self):
"""to initialise account info"""
<|body_1|>
def getaccountinfo(self):
"""t... | stack_v2_sparse_classes_75kplus_train_073902 | 1,448 | no_license | [
{
"docstring": "to initialise instance variables",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "to initialise account info",
"name": "setaccountinfo",
"signature": "def setaccountinfo(self)"
},
{
"docstring": "to display account detail",
"name": "g... | 4 | stack_v2_sparse_classes_30k_train_048915 | Implement the Python class `account` described below.
Class description:
to define account class woth account info and operations
Method signatures and docstrings:
- def __init__(self): to initialise instance variables
- def setaccountinfo(self): to initialise account info
- def getaccountinfo(self): to display accou... | Implement the Python class `account` described below.
Class description:
to define account class woth account info and operations
Method signatures and docstrings:
- def __init__(self): to initialise instance variables
- def setaccountinfo(self): to initialise account info
- def getaccountinfo(self): to display accou... | a2c3cbbfa740dc39944d8a7e4ca0eaad07f44316 | <|skeleton|>
class account:
"""to define account class woth account info and operations"""
def __init__(self):
"""to initialise instance variables"""
<|body_0|>
def setaccountinfo(self):
"""to initialise account info"""
<|body_1|>
def getaccountinfo(self):
"""t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class account:
"""to define account class woth account info and operations"""
def __init__(self):
"""to initialise instance variables"""
self.acno = int(raw_input('enter accont no : '))
self.acname = raw_input('enter accont h name : ')
self.acbal = float(raw_input('enter accont ... | the_stack_v2_python_sparse | class/act2.py | kajal241199/PYTraining | train | 0 |
8ec0ddc8b8d32afd52b2070f01a27d7faf7db5f3 | [
"self.degeneracy = kwargs.pop('degeneracy', 0.001)\n' Degeneracy parameter for oscillator strength. '\nsuper(Dipole, self).__init__(*args, **kwargs)",
"out = super(Dipole, self).run(indiv, outdir, comm, **kwargs)\ndegeneracy = getattr(self, 'degeneracy', 0.001)\nindiv.dipoles = out.dipole(degeneracy=degeneracy)\n... | <|body_start_0|>
self.degeneracy = kwargs.pop('degeneracy', 0.001)
' Degeneracy parameter for oscillator strength. '
super(Dipole, self).__init__(*args, **kwargs)
<|end_body_0|>
<|body_start_1|>
out = super(Dipole, self).run(indiv, outdir, comm, **kwargs)
degeneracy = getattr(se... | Evaluates the oscillator strength. On top of those quantities saved by base class BandgapEvaluator, this class stores the dipole elements in indiv.dipoles. | Dipole | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dipole:
"""Evaluates the oscillator strength. On top of those quantities saved by base class BandgapEvaluator, this class stores the dipole elements in indiv.dipoles."""
def __init__(self, *args, **kwargs):
"""Initializes the dipole element evaluator."""
<|body_0|>
def _... | stack_v2_sparse_classes_75kplus_train_073903 | 9,676 | no_license | [
{
"docstring": "Initializes the dipole element evaluator.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Computes the oscillator strength.",
"name": "__call__",
"signature": "def __call__(self, indiv, outdir=None, comm=None, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_051629 | Implement the Python class `Dipole` described below.
Class description:
Evaluates the oscillator strength. On top of those quantities saved by base class BandgapEvaluator, this class stores the dipole elements in indiv.dipoles.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initializes the d... | Implement the Python class `Dipole` described below.
Class description:
Evaluates the oscillator strength. On top of those quantities saved by base class BandgapEvaluator, this class stores the dipole elements in indiv.dipoles.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initializes the d... | 9c0ab667f94dc4629404a8ec99cbeaa323f0c8b3 | <|skeleton|>
class Dipole:
"""Evaluates the oscillator strength. On top of those quantities saved by base class BandgapEvaluator, this class stores the dipole elements in indiv.dipoles."""
def __init__(self, *args, **kwargs):
"""Initializes the dipole element evaluator."""
<|body_0|>
def _... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dipole:
"""Evaluates the oscillator strength. On top of those quantities saved by base class BandgapEvaluator, this class stores the dipole elements in indiv.dipoles."""
def __init__(self, *args, **kwargs):
"""Initializes the dipole element evaluator."""
self.degeneracy = kwargs.pop('dege... | the_stack_v2_python_sparse | ga/escan/evaluator.py | Shibu778/LaDa | train | 0 |
2456f608b19a6f936dcf23c816ba5679b2cf48fb | [
"super().__init__()\nself.query_emb = nn.Linear(args['target_agent_enc_size'], args['emb_size'])\nself.key_emb = nn.Linear(args['context_enc_size'], args['emb_size'])\nself.val_emb = nn.Linear(args['context_enc_size'], args['emb_size'])\nself.mha = nn.MultiheadAttention(args['emb_size'], args['num_heads'])",
"tar... | <|body_start_0|>
super().__init__()
self.query_emb = nn.Linear(args['target_agent_enc_size'], args['emb_size'])
self.key_emb = nn.Linear(args['context_enc_size'], args['emb_size'])
self.val_emb = nn.Linear(args['context_enc_size'], args['emb_size'])
self.mha = nn.MultiheadAttenti... | Aggregate context encoding using scaled dot product attention. Query obtained using target agent encoding, Keys and values obtained using map and surrounding agent encodings. | GlobalAttention | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GlobalAttention:
"""Aggregate context encoding using scaled dot product attention. Query obtained using target agent encoding, Keys and values obtained using map and surrounding agent encodings."""
def __init__(self, args: Dict):
"""args to include enc_size: int Dimension of encoding... | stack_v2_sparse_classes_75kplus_train_073904 | 2,711 | permissive | [
{
"docstring": "args to include enc_size: int Dimension of encodings generated by encoder emb_size: int Size of embeddings used for queries, keys and values num_heads: int Number of attention heads",
"name": "__init__",
"signature": "def __init__(self, args: Dict)"
},
{
"docstring": "Forward pas... | 3 | stack_v2_sparse_classes_30k_train_012672 | Implement the Python class `GlobalAttention` described below.
Class description:
Aggregate context encoding using scaled dot product attention. Query obtained using target agent encoding, Keys and values obtained using map and surrounding agent encodings.
Method signatures and docstrings:
- def __init__(self, args: D... | Implement the Python class `GlobalAttention` described below.
Class description:
Aggregate context encoding using scaled dot product attention. Query obtained using target agent encoding, Keys and values obtained using map and surrounding agent encodings.
Method signatures and docstrings:
- def __init__(self, args: D... | 6419894aa040adb9570b14493952a98c0a52f803 | <|skeleton|>
class GlobalAttention:
"""Aggregate context encoding using scaled dot product attention. Query obtained using target agent encoding, Keys and values obtained using map and surrounding agent encodings."""
def __init__(self, args: Dict):
"""args to include enc_size: int Dimension of encoding... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GlobalAttention:
"""Aggregate context encoding using scaled dot product attention. Query obtained using target agent encoding, Keys and values obtained using map and surrounding agent encodings."""
def __init__(self, args: Dict):
"""args to include enc_size: int Dimension of encodings generated b... | the_stack_v2_python_sparse | models/aggregators/global_attention.py | sancarlim/Explainable-MP | train | 17 |
60d16f481e801278c6e7c2dface2085d10815b8a | [
"QDialog.__init__(self, parent)\nself.setupUi(self)\nself.xlsFile = ''\nself.db_path = ''",
"print('on_pushButton_select_xls_clicked')\nself.xlsFile = QFileDialog.getOpenFileName(self, u'选取文件', './', 'Excel Files (*.xls;*.xlsx)')[0]\nprint(self.xlsFile)",
"if self.xlsFile == '':\n QMessageBox.warning(self, u... | <|body_start_0|>
QDialog.__init__(self, parent)
self.setupUi(self)
self.xlsFile = ''
self.db_path = ''
<|end_body_0|>
<|body_start_1|>
print('on_pushButton_select_xls_clicked')
self.xlsFile = QFileDialog.getOpenFileName(self, u'选取文件', './', 'Excel Files (*.xls;*.xlsx)')[... | Class documentation goes here. | Dialog | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dialog:
"""Class documentation goes here."""
def __init__(self, parent=None):
"""Constructor"""
<|body_0|>
def on_pushButton_select_xls_clicked(self):
"""Slot documentation goes here."""
<|body_1|>
def on_pushButton_create_db_clicked(self):
"... | stack_v2_sparse_classes_75kplus_train_073905 | 1,965 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, parent=None)"
},
{
"docstring": "Slot documentation goes here.",
"name": "on_pushButton_select_xls_clicked",
"signature": "def on_pushButton_select_xls_clicked(self)"
},
{
"docstring": "Slot docume... | 3 | stack_v2_sparse_classes_30k_train_016864 | Implement the Python class `Dialog` described below.
Class description:
Class documentation goes here.
Method signatures and docstrings:
- def __init__(self, parent=None): Constructor
- def on_pushButton_select_xls_clicked(self): Slot documentation goes here.
- def on_pushButton_create_db_clicked(self): Slot document... | Implement the Python class `Dialog` described below.
Class description:
Class documentation goes here.
Method signatures and docstrings:
- def __init__(self, parent=None): Constructor
- def on_pushButton_select_xls_clicked(self): Slot documentation goes here.
- def on_pushButton_create_db_clicked(self): Slot document... | 6ec9027b679bbb707436b9a4095d995265b266c8 | <|skeleton|>
class Dialog:
"""Class documentation goes here."""
def __init__(self, parent=None):
"""Constructor"""
<|body_0|>
def on_pushButton_select_xls_clicked(self):
"""Slot documentation goes here."""
<|body_1|>
def on_pushButton_create_db_clicked(self):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dialog:
"""Class documentation goes here."""
def __init__(self, parent=None):
"""Constructor"""
QDialog.__init__(self, parent)
self.setupUi(self)
self.xlsFile = ''
self.db_path = ''
def on_pushButton_select_xls_clicked(self):
"""Slot documentation goes... | the_stack_v2_python_sparse | src/utils/Create_DB.py | fzero17/college_wish | train | 0 |
a9243beb16dcf6c00aafc553c90e52d32ba97915 | [
"self.max_sample_count = max_sample_count or 0\nself.sampling_frequency = sampling_frequency or 1\nif self.sampling_frequency < 1:\n err_msg = 'sampling_frequency must be larger or equal to 1. (Given: {})'.format(self.sampling_frequency)\n raise GenericTrainerException(err_msg)\nself.s3_prefix = s3_prefix\nse... | <|body_start_0|>
self.max_sample_count = max_sample_count or 0
self.sampling_frequency = sampling_frequency or 1
if self.sampling_frequency < 1:
err_msg = 'sampling_frequency must be larger or equal to 1. (Given: {})'.format(self.sampling_frequency)
raise GenericTrainerEx... | Sample Collector class to collect sample and persist to S3. | SampleCollector | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SampleCollector:
"""Sample Collector class to collect sample and persist to S3."""
def __init__(self, bucket, s3_prefix, region_name, s3_endpoint_url=None, max_sample_count=None, sampling_frequency=None, max_retry_attempts=5, backoff_time_sec=1.0):
"""Sample Collector class to collec... | stack_v2_sparse_classes_75kplus_train_073906 | 3,211 | permissive | [
{
"docstring": "Sample Collector class to collect sample and persist to S3. Args: bucket (str): S3 bucket string s3_prefix (str): S3 prefix string region_name (str): S3 region name max_sample_count (int): max sample count sampling_frequency (int): sampleing frequency max_retry_attempts (int): maximum number of ... | 2 | stack_v2_sparse_classes_30k_train_015572 | Implement the Python class `SampleCollector` described below.
Class description:
Sample Collector class to collect sample and persist to S3.
Method signatures and docstrings:
- def __init__(self, bucket, s3_prefix, region_name, s3_endpoint_url=None, max_sample_count=None, sampling_frequency=None, max_retry_attempts=5... | Implement the Python class `SampleCollector` described below.
Class description:
Sample Collector class to collect sample and persist to S3.
Method signatures and docstrings:
- def __init__(self, bucket, s3_prefix, region_name, s3_endpoint_url=None, max_sample_count=None, sampling_frequency=None, max_retry_attempts=5... | 2ce50508dd4100eaef7f8729436549a801505705 | <|skeleton|>
class SampleCollector:
"""Sample Collector class to collect sample and persist to S3."""
def __init__(self, bucket, s3_prefix, region_name, s3_endpoint_url=None, max_sample_count=None, sampling_frequency=None, max_retry_attempts=5, backoff_time_sec=1.0):
"""Sample Collector class to collec... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SampleCollector:
"""Sample Collector class to collect sample and persist to S3."""
def __init__(self, bucket, s3_prefix, region_name, s3_endpoint_url=None, max_sample_count=None, sampling_frequency=None, max_retry_attempts=5, backoff_time_sec=1.0):
"""Sample Collector class to collect sample and ... | the_stack_v2_python_sparse | bundle/markov/samples/sample_collector.py | aws-deepracer-community/deepracer-simapp | train | 83 |
b26fb1defb170bfa210f568377e151630e91b286 | [
"if cls.credentials is None:\n cls.credentials = service_account.Credentials.from_service_account_info(cls.service_account_info, scopes=cls.GCP_SA_SCOPES)\nrequest = google.auth.transport.requests.Request()\ncls.credentials.refresh(request)\ncurrent_app.logger.info('Call successful: obtained token.')\nreturn cls... | <|body_start_0|>
if cls.credentials is None:
cls.credentials = service_account.Credentials.from_service_account_info(cls.service_account_info, scopes=cls.GCP_SA_SCOPES)
request = google.auth.transport.requests.Request()
cls.credentials.refresh(request)
current_app.logger.info... | Google Auth Service implementation. Maintains a wrapper to get a service account access token and credentials for Google API calls. | GoogleAuthService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleAuthService:
"""Google Auth Service implementation. Maintains a wrapper to get a service account access token and credentials for Google API calls."""
def get_token(cls):
"""Generate an OAuth access token with cloud storage access."""
<|body_0|>
def get_report_api_... | stack_v2_sparse_classes_75kplus_train_073907 | 3,364 | permissive | [
{
"docstring": "Generate an OAuth access token with cloud storage access.",
"name": "get_token",
"signature": "def get_token(cls)"
},
{
"docstring": "Generate an OAuth access token with IAM configured auth mhr api container to report api container.",
"name": "get_report_api_token",
"sign... | 3 | stack_v2_sparse_classes_30k_train_036663 | Implement the Python class `GoogleAuthService` described below.
Class description:
Google Auth Service implementation. Maintains a wrapper to get a service account access token and credentials for Google API calls.
Method signatures and docstrings:
- def get_token(cls): Generate an OAuth access token with cloud stora... | Implement the Python class `GoogleAuthService` described below.
Class description:
Google Auth Service implementation. Maintains a wrapper to get a service account access token and credentials for Google API calls.
Method signatures and docstrings:
- def get_token(cls): Generate an OAuth access token with cloud stora... | af1a4458bb78c16ecca484514d4bd0d1d8c24b5d | <|skeleton|>
class GoogleAuthService:
"""Google Auth Service implementation. Maintains a wrapper to get a service account access token and credentials for Google API calls."""
def get_token(cls):
"""Generate an OAuth access token with cloud storage access."""
<|body_0|>
def get_report_api_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoogleAuthService:
"""Google Auth Service implementation. Maintains a wrapper to get a service account access token and credentials for Google API calls."""
def get_token(cls):
"""Generate an OAuth access token with cloud storage access."""
if cls.credentials is None:
cls.cred... | the_stack_v2_python_sparse | mhr_api/src/mhr_api/services/gcp_auth/auth_service.py | bcgov/ppr | train | 4 |
9f3de2cf0565d84189ac82c5a2706c1783139f24 | [
"self.input_file = input_file\nself.output_file = output_file\nself.max_iter = max_iter\nself.max_total_iter = max_total_iter\nself.optimizers = optimizers\nself.optimizer_id = 0",
"o = Cp2kOutput(self.output_file)\no.convergence()\nif o.data.get('geo_opt_not_converged'):\n return True\nreturn False",
"ci = ... | <|body_start_0|>
self.input_file = input_file
self.output_file = output_file
self.max_iter = max_iter
self.max_total_iter = max_total_iter
self.optimizers = optimizers
self.optimizer_id = 0
<|end_body_0|>
<|body_start_1|>
o = Cp2kOutput(self.output_file)
... | This handler checks to see if geometry optimization has failed to converge, as signified by a line in the output file that says the maximum number of optimization steps were reached. By, this handler works by jumping back-and-forth between BFGS and CG optimizers. BFGS is fast, but unstable when far from the minimum, wh... | UnconvergedRelaxationErrorHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnconvergedRelaxationErrorHandler:
"""This handler checks to see if geometry optimization has failed to converge, as signified by a line in the output file that says the maximum number of optimization steps were reached. By, this handler works by jumping back-and-forth between BFGS and CG optimiz... | stack_v2_sparse_classes_75kplus_train_073908 | 43,756 | permissive | [
{
"docstring": "Initialize the error handler. Args: input_file: name of the input file output_file: name of the output file max_iter: Max iter for an \"inner loop\", i.e. max iterations for one optimizer before switching to another. max_total_iter: max total number of iterations before calling it quits. (Not re... | 3 | null | Implement the Python class `UnconvergedRelaxationErrorHandler` described below.
Class description:
This handler checks to see if geometry optimization has failed to converge, as signified by a line in the output file that says the maximum number of optimization steps were reached. By, this handler works by jumping bac... | Implement the Python class `UnconvergedRelaxationErrorHandler` described below.
Class description:
This handler checks to see if geometry optimization has failed to converge, as signified by a line in the output file that says the maximum number of optimization steps were reached. By, this handler works by jumping bac... | e133fe0f2290ef3c1e96be25de0c13e6c3c33284 | <|skeleton|>
class UnconvergedRelaxationErrorHandler:
"""This handler checks to see if geometry optimization has failed to converge, as signified by a line in the output file that says the maximum number of optimization steps were reached. By, this handler works by jumping back-and-forth between BFGS and CG optimiz... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnconvergedRelaxationErrorHandler:
"""This handler checks to see if geometry optimization has failed to converge, as signified by a line in the output file that says the maximum number of optimization steps were reached. By, this handler works by jumping back-and-forth between BFGS and CG optimizers. BFGS is ... | the_stack_v2_python_sparse | custodian/cp2k/handlers.py | materialsproject/custodian | train | 116 |
5f36120cfe2eb3459e1c85f1ea1cf7fef8ad9bbf | [
"previous_index = 0\ntotal_profit = 0\nfor index in range(0, len(prices)):\n if previous_index == index:\n continue\n previous_price = prices[previous_index]\n current_price = prices[index]\n if previous_price < current_price:\n total_profit += current_price - previous_price\n previous_... | <|body_start_0|>
previous_index = 0
total_profit = 0
for index in range(0, len(prices)):
if previous_index == index:
continue
previous_price = prices[previous_index]
current_price = prices[index]
if previous_price < current_price:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
previous_index = 0
total_profi... | stack_v2_sparse_classes_75kplus_train_073909 | 1,420 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "removeDuplicates",
"signature": "def removeDuplicates(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001222 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def removeDuplicates(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def removeDuplicates(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxP... | dae0a5e6e688a34e6b870a93ecb210416a54d67a | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
previous_index = 0
total_profit = 0
for index in range(0, len(prices)):
if previous_index == index:
continue
previous_price = prices[previous_index]
... | the_stack_v2_python_sparse | python/algorithms/arrays/max_profit.py | nathanle89/interview | train | 0 | |
01804d27701d141413146d7da2cb6593e5fa0037 | [
"self.objects = []\nself.errors = None\nself.api_key = os.environ.get('GOOGLE_PLACES_API')",
"if not self.api_key:\n logging.warning(WARNING_MESSAGE)\n return []\nparams = {'input': name, 'types': '(cities)', 'key': self.api_key}\nrequest = requests.get(self.URL.format(self.FORMAT_TYPE), params=params)\nres... | <|body_start_0|>
self.objects = []
self.errors = None
self.api_key = os.environ.get('GOOGLE_PLACES_API')
<|end_body_0|>
<|body_start_1|>
if not self.api_key:
logging.warning(WARNING_MESSAGE)
return []
params = {'input': name, 'types': '(cities)', 'key': s... | Service for getting the cities list from Google places. | CitiesService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CitiesService:
"""Service for getting the cities list from Google places."""
def __init__(self):
"""Initialize method for cities service."""
<|body_0|>
def find_by_name(self, name):
"""Receive a list of matched cities by the name."""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_75kplus_train_073910 | 1,472 | no_license | [
{
"docstring": "Initialize method for cities service.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Receive a list of matched cities by the name.",
"name": "find_by_name",
"signature": "def find_by_name(self, name)"
}
] | 2 | null | Implement the Python class `CitiesService` described below.
Class description:
Service for getting the cities list from Google places.
Method signatures and docstrings:
- def __init__(self): Initialize method for cities service.
- def find_by_name(self, name): Receive a list of matched cities by the name. | Implement the Python class `CitiesService` described below.
Class description:
Service for getting the cities list from Google places.
Method signatures and docstrings:
- def __init__(self): Initialize method for cities service.
- def find_by_name(self, name): Receive a list of matched cities by the name.
<|skeleton... | 252b0ebd77eefbcc945a0efc3068cc3421f46d5f | <|skeleton|>
class CitiesService:
"""Service for getting the cities list from Google places."""
def __init__(self):
"""Initialize method for cities service."""
<|body_0|>
def find_by_name(self, name):
"""Receive a list of matched cities by the name."""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CitiesService:
"""Service for getting the cities list from Google places."""
def __init__(self):
"""Initialize method for cities service."""
self.objects = []
self.errors = None
self.api_key = os.environ.get('GOOGLE_PLACES_API')
def find_by_name(self, name):
"... | the_stack_v2_python_sparse | common/services/cities_service.py | vsokoltsov/Interview360Server | train | 2 |
db41f2ab000ef8f7ae894177d86b1b2776ac003f | [
"logger.info('loading corpus from %s' % fname)\nself.fname = fname\nself.length = None\nself.labels = labels\nhead = ''.join(itertools.islice(utils.smart_open(self.fname), 5))\nself.headers = csv.Sniffer().has_header(head)\nself.dialect = csv.Sniffer().sniff(head)\nlogger.info('sniffed CSV delimiter=%r, headers=%s'... | <|body_start_0|>
logger.info('loading corpus from %s' % fname)
self.fname = fname
self.length = None
self.labels = labels
head = ''.join(itertools.islice(utils.smart_open(self.fname), 5))
self.headers = csv.Sniffer().has_header(head)
self.dialect = csv.Sniffer().s... | Corpus in CSV format. The CSV delimiter, headers etc. are guessed automatically based on the file content. All row values are expected to be ints/floats. | CsvCorpus | [
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CsvCorpus:
"""Corpus in CSV format. The CSV delimiter, headers etc. are guessed automatically based on the file content. All row values are expected to be ints/floats."""
def __init__(self, fname, labels):
"""Initialize the corpus from a file. `labels` = are class labels present in t... | stack_v2_sparse_classes_75kplus_train_073911 | 1,880 | permissive | [
{
"docstring": "Initialize the corpus from a file. `labels` = are class labels present in the input file? => skip the first column",
"name": "__init__",
"signature": "def __init__(self, fname, labels)"
},
{
"docstring": "Iterate over the corpus, returning one sparse vector at a time.",
"name... | 2 | stack_v2_sparse_classes_30k_train_050639 | Implement the Python class `CsvCorpus` described below.
Class description:
Corpus in CSV format. The CSV delimiter, headers etc. are guessed automatically based on the file content. All row values are expected to be ints/floats.
Method signatures and docstrings:
- def __init__(self, fname, labels): Initialize the cor... | Implement the Python class `CsvCorpus` described below.
Class description:
Corpus in CSV format. The CSV delimiter, headers etc. are guessed automatically based on the file content. All row values are expected to be ints/floats.
Method signatures and docstrings:
- def __init__(self, fname, labels): Initialize the cor... | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | <|skeleton|>
class CsvCorpus:
"""Corpus in CSV format. The CSV delimiter, headers etc. are guessed automatically based on the file content. All row values are expected to be ints/floats."""
def __init__(self, fname, labels):
"""Initialize the corpus from a file. `labels` = are class labels present in t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CsvCorpus:
"""Corpus in CSV format. The CSV delimiter, headers etc. are guessed automatically based on the file content. All row values are expected to be ints/floats."""
def __init__(self, fname, labels):
"""Initialize the corpus from a file. `labels` = are class labels present in the input file... | the_stack_v2_python_sparse | lib/python2.7/site-packages/gensim/corpora/csvcorpus.py | wangyum/Anaconda | train | 11 |
dd71e51390519c515ed9914888f22e9accb0602c | [
"if self.physical_element in ['UH', 'UR'] and self.num_value is not None:\n return self.num_value * 10\nif self.unit_convention == 'E' or self.num_value is None:\n return self.num_value\nename = shef_english_units.get(self.physical_element)\nsname = shef_standard_units.get(self.physical_element)\nif ename is ... | <|body_start_0|>
if self.physical_element in ['UH', 'UR'] and self.num_value is not None:
return self.num_value * 10
if self.unit_convention == 'E' or self.num_value is None:
return self.num_value
ename = shef_english_units.get(self.physical_element)
sname = shef_... | A PEDTSEP Element. | SHEFElement | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SHEFElement:
"""A PEDTSEP Element."""
def to_english(self) -> float:
"""Return an English value representation. Implementation Note: In the case of wind direction (UH, UR), this returns the un-scaled value."""
<|body_0|>
def varname(self) -> str:
"""Return the Fu... | stack_v2_sparse_classes_75kplus_train_073912 | 4,398 | permissive | [
{
"docstring": "Return an English value representation. Implementation Note: In the case of wind direction (UH, UR), this returns the un-scaled value.",
"name": "to_english",
"signature": "def to_english(self) -> float"
},
{
"docstring": "Return the Full SHEF Code.",
"name": "varname",
"... | 4 | stack_v2_sparse_classes_30k_train_009637 | Implement the Python class `SHEFElement` described below.
Class description:
A PEDTSEP Element.
Method signatures and docstrings:
- def to_english(self) -> float: Return an English value representation. Implementation Note: In the case of wind direction (UH, UR), this returns the un-scaled value.
- def varname(self) ... | Implement the Python class `SHEFElement` described below.
Class description:
A PEDTSEP Element.
Method signatures and docstrings:
- def to_english(self) -> float: Return an English value representation. Implementation Note: In the case of wind direction (UH, UR), this returns the un-scaled value.
- def varname(self) ... | 460f44394be05e1b655111595a3d7de3f7e47757 | <|skeleton|>
class SHEFElement:
"""A PEDTSEP Element."""
def to_english(self) -> float:
"""Return an English value representation. Implementation Note: In the case of wind direction (UH, UR), this returns the un-scaled value."""
<|body_0|>
def varname(self) -> str:
"""Return the Fu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SHEFElement:
"""A PEDTSEP Element."""
def to_english(self) -> float:
"""Return an English value representation. Implementation Note: In the case of wind direction (UH, UR), this returns the un-scaled value."""
if self.physical_element in ['UH', 'UR'] and self.num_value is not None:
... | the_stack_v2_python_sparse | src/pyiem/models/shef.py | akrherz/pyIEM | train | 38 |
e4eda1a37903139fa2a3d3ae9e6c4813052ef369 | [
"nums, result, i = (sorted(nums), [], 0)\nwhile i < len(nums) - 2:\n if i == 0 or nums[i] != nums[i - 1]:\n j, k = (i + 1, len(nums) - 1)\n while j < k:\n if nums[i] + nums[j] + nums[k] < 0:\n j += 1\n elif nums[i] + nums[j] + nums[k] > 0:\n k -= ... | <|body_start_0|>
nums, result, i = (sorted(nums), [], 0)
while i < len(nums) - 2:
if i == 0 or nums[i] != nums[i - 1]:
j, k = (i + 1, len(nums) - 1)
while j < k:
if nums[i] + nums[j] + nums[k] < 0:
j += 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def threeSum2(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
nums, result, i = (sorted(... | stack_v2_sparse_classes_75kplus_train_073913 | 12,022 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "threeSum",
"signature": "def threeSum(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "threeSum2",
"signature": "def threeSum2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_037827 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSum(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def threeSum2(self, nums): :type nums: List[int] :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSum(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def threeSum2(self, nums): :type nums: List[int] :rtype: List[List[int]]
<|skeleton|>
class Solution:
... | 035ef08434fa1ca781a6fb2f9eed3538b7d20c02 | <|skeleton|>
class Solution:
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def threeSum2(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
nums, result, i = (sorted(nums), [], 0)
while i < len(nums) - 2:
if i == 0 or nums[i] != nums[i - 1]:
j, k = (i + 1, len(nums) - 1)
while j < k:
... | the_stack_v2_python_sparse | leetcode_python/Array/3sum.py | yennanliu/CS_basics | train | 64 | |
cf559b5c0966fc31016507766b68fecc09144653 | [
"super(MicroTomographyAnalyzer.Rotator, self).__init__()\nself.ui = outer.ui\nself.outer = outer\nself.angle = None\nself.make_connections()",
"self.ui.rotation_angle.valueChanged.connect(self.rotate_preview)\nself.output_tensor.connect(self.outer.set_tensor)\nself.progress.connect(self.ui.progress.setValue)\nsel... | <|body_start_0|>
super(MicroTomographyAnalyzer.Rotator, self).__init__()
self.ui = outer.ui
self.outer = outer
self.angle = None
self.make_connections()
<|end_body_0|>
<|body_start_1|>
self.ui.rotation_angle.valueChanged.connect(self.rotate_preview)
self.output_t... | Rotator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rotator:
def __init__(self, outer):
"""Rotates tensor around center point in two axis Args: outer: Outer instance that owns the GUI."""
<|body_0|>
def make_connections(self):
"""Establishes connections between GUI elements and methods"""
<|body_1|>
def r... | stack_v2_sparse_classes_75kplus_train_073914 | 27,085 | no_license | [
{
"docstring": "Rotates tensor around center point in two axis Args: outer: Outer instance that owns the GUI.",
"name": "__init__",
"signature": "def __init__(self, outer)"
},
{
"docstring": "Establishes connections between GUI elements and methods",
"name": "make_connections",
"signatur... | 5 | null | Implement the Python class `Rotator` described below.
Class description:
Implement the Rotator class.
Method signatures and docstrings:
- def __init__(self, outer): Rotates tensor around center point in two axis Args: outer: Outer instance that owns the GUI.
- def make_connections(self): Establishes connections betwe... | Implement the Python class `Rotator` described below.
Class description:
Implement the Rotator class.
Method signatures and docstrings:
- def __init__(self, outer): Rotates tensor around center point in two axis Args: outer: Outer instance that owns the GUI.
- def make_connections(self): Establishes connections betwe... | fb462691e14a650a0d55cd059721b13ece589105 | <|skeleton|>
class Rotator:
def __init__(self, outer):
"""Rotates tensor around center point in two axis Args: outer: Outer instance that owns the GUI."""
<|body_0|>
def make_connections(self):
"""Establishes connections between GUI elements and methods"""
<|body_1|>
def r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Rotator:
def __init__(self, outer):
"""Rotates tensor around center point in two axis Args: outer: Outer instance that owns the GUI."""
super(MicroTomographyAnalyzer.Rotator, self).__init__()
self.ui = outer.ui
self.outer = outer
self.angle = None
self.make_conn... | the_stack_v2_python_sparse | segmentation_cpg/segmentation.py | elerator/capillary_effects_aluminum | train | 0 | |
a559d65be327d7bc908edd544ad184f2bf88ebe2 | [
"result = []\ndistance = [[0] * len(points) for _ in range(len(points))]\nfor i in range(len(points)):\n for j in range(i):\n distance[i][j] = (points[i][0] - points[j][0]) ** 2 + (points[i][1] - points[j][1]) ** 2\n distance[j][i] = distance[i][j]\n for m in range(i):\n if distan... | <|body_start_0|>
result = []
distance = [[0] * len(points) for _ in range(len(points))]
for i in range(len(points)):
for j in range(i):
distance[i][j] = (points[i][0] - points[j][0]) ** 2 + (points[i][1] - points[j][1]) ** 2
distance[j][i] = distance[i... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _numberOfBoomerangs(self, points):
""":type points: List[List[int]] :rtype: int"""
<|body_0|>
def numberOfBoomerangs(self, points):
""":type points: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result = [... | stack_v2_sparse_classes_75kplus_train_073915 | 8,991 | permissive | [
{
"docstring": ":type points: List[List[int]] :rtype: int",
"name": "_numberOfBoomerangs",
"signature": "def _numberOfBoomerangs(self, points)"
},
{
"docstring": ":type points: List[List[int]] :rtype: int",
"name": "numberOfBoomerangs",
"signature": "def numberOfBoomerangs(self, points)"... | 2 | stack_v2_sparse_classes_30k_train_047516 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _numberOfBoomerangs(self, points): :type points: List[List[int]] :rtype: int
- def numberOfBoomerangs(self, points): :type points: List[List[int]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _numberOfBoomerangs(self, points): :type points: List[List[int]] :rtype: int
- def numberOfBoomerangs(self, points): :type points: List[List[int]] :rtype: int
<|skeleton|>
c... | 0dd67edca4e0b0323cb5a7239f02ea46383cd15a | <|skeleton|>
class Solution:
def _numberOfBoomerangs(self, points):
""":type points: List[List[int]] :rtype: int"""
<|body_0|>
def numberOfBoomerangs(self, points):
""":type points: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def _numberOfBoomerangs(self, points):
""":type points: List[List[int]] :rtype: int"""
result = []
distance = [[0] * len(points) for _ in range(len(points))]
for i in range(len(points)):
for j in range(i):
distance[i][j] = (points[i][0] - p... | the_stack_v2_python_sparse | 447.number-of-boomerangs.py | windard/leeeeee | train | 0 | |
1b0694fb790fea310372936e5795358d48d757ea | [
"self.__logger = Logger.get_instance()\nself.__is_initialised = False\nself.__database_url = os.environ['DATABASE_URL']\nself.__database_connection = None",
"if self.__is_initialised:\n self.__logger.log(\"Skipping initialising the database client as it's already initialised.\")\n return\nself.__logger.log(... | <|body_start_0|>
self.__logger = Logger.get_instance()
self.__is_initialised = False
self.__database_url = os.environ['DATABASE_URL']
self.__database_connection = None
<|end_body_0|>
<|body_start_1|>
if self.__is_initialised:
self.__logger.log("Skipping initialising ... | Represents client for managing connections to the nlp-analytics database. TODO: need to think about thread safety in this class. ... Attributes ---------- __logger : Logger The logger of this class. __is_initialised : bool A boolean variable to keep track of whether the database client has been initialised or not. | DatabaseClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatabaseClient:
"""Represents client for managing connections to the nlp-analytics database. TODO: need to think about thread safety in this class. ... Attributes ---------- __logger : Logger The logger of this class. __is_initialised : bool A boolean variable to keep track of whether the databas... | stack_v2_sparse_classes_75kplus_train_073916 | 2,605 | no_license | [
{
"docstring": "Initialises a new instance of this class.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Initialises the device token manager.",
"name": "initialise",
"signature": "def initialise(self)"
},
{
"docstring": "Executes the given SQL query. ... | 3 | stack_v2_sparse_classes_30k_train_025513 | Implement the Python class `DatabaseClient` described below.
Class description:
Represents client for managing connections to the nlp-analytics database. TODO: need to think about thread safety in this class. ... Attributes ---------- __logger : Logger The logger of this class. __is_initialised : bool A boolean variab... | Implement the Python class `DatabaseClient` described below.
Class description:
Represents client for managing connections to the nlp-analytics database. TODO: need to think about thread safety in this class. ... Attributes ---------- __logger : Logger The logger of this class. __is_initialised : bool A boolean variab... | db6506683fd664a918fff298a671a004310a5709 | <|skeleton|>
class DatabaseClient:
"""Represents client for managing connections to the nlp-analytics database. TODO: need to think about thread safety in this class. ... Attributes ---------- __logger : Logger The logger of this class. __is_initialised : bool A boolean variable to keep track of whether the databas... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DatabaseClient:
"""Represents client for managing connections to the nlp-analytics database. TODO: need to think about thread safety in this class. ... Attributes ---------- __logger : Logger The logger of this class. __is_initialised : bool A boolean variable to keep track of whether the database client has ... | the_stack_v2_python_sparse | src/core/database_client.py | skingswolf/coinarius-analytics | train | 0 |
53b2dfd733cf264e13684fe707facabe6a5eeaa7 | [
"super().__init__(r_cut, elements, **kwargs)\nself.elements = list(np.sort(elements))\nself.r_cut = r_cut\nself.grids_eam = grids_eam\nself.alpha = alpha\nself.r0 = r0",
"super().calculate(atoms, properties, system_changes)\nforces = np.zeros((len(self.atoms), 3))\npotential_energies = np.zeros((len(self.atoms), ... | <|body_start_0|>
super().__init__(r_cut, elements, **kwargs)
self.elements = list(np.sort(elements))
self.r_cut = r_cut
self.grids_eam = grids_eam
self.alpha = alpha
self.r0 = r0
<|end_body_0|>
<|body_start_1|>
super().calculate(atoms, properties, system_changes)... | A mapped Eam calculator for ase Attributes: grid_eam (object): list of 1D Spline interpolator, one for each element in elements results(dict): energy and forces calculated on the atoms object | EamManySpecies | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EamManySpecies:
"""A mapped Eam calculator for ase Attributes: grid_eam (object): list of 1D Spline interpolator, one for each element in elements results(dict): energy and forces calculated on the atoms object"""
def __init__(self, r_cut, elements, grids_eam, alpha, r0, **kwargs):
"... | stack_v2_sparse_classes_75kplus_train_073917 | 25,108 | permissive | [
{
"docstring": "Args: elements (list): List of ordered atomic numbers of the mapped two species system. grid_eam (list): list of 1D Spline interpolator, one for each element in elements r_cut (float): cutoff radius alpha (float): Exponential prefactor of the eam Descriptor r0 (float): Radius in the exponent of ... | 2 | null | Implement the Python class `EamManySpecies` described below.
Class description:
A mapped Eam calculator for ase Attributes: grid_eam (object): list of 1D Spline interpolator, one for each element in elements results(dict): energy and forces calculated on the atoms object
Method signatures and docstrings:
- def __init... | Implement the Python class `EamManySpecies` described below.
Class description:
A mapped Eam calculator for ase Attributes: grid_eam (object): list of 1D Spline interpolator, one for each element in elements results(dict): energy and forces calculated on the atoms object
Method signatures and docstrings:
- def __init... | cd1b22b606dfd64d91dc94fece72ad6a707212af | <|skeleton|>
class EamManySpecies:
"""A mapped Eam calculator for ase Attributes: grid_eam (object): list of 1D Spline interpolator, one for each element in elements results(dict): energy and forces calculated on the atoms object"""
def __init__(self, r_cut, elements, grids_eam, alpha, r0, **kwargs):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EamManySpecies:
"""A mapped Eam calculator for ase Attributes: grid_eam (object): list of 1D Spline interpolator, one for each element in elements results(dict): energy and forces calculated on the atoms object"""
def __init__(self, r_cut, elements, grids_eam, alpha, r0, **kwargs):
"""Args: eleme... | the_stack_v2_python_sparse | mff/calculators.py | kcl-tscm/mff | train | 16 |
7ad354bca79c604fc83cc7415ae82bba35cc6c51 | [
"course = self.test_settings['test_course']\nself.search_for_course(type=course['type'], school=course['school'], term=course['term'], year=course['year'], search_term=course['cid'])\nself.assertTrue(self.search_page.is_course_displayed(cid=course['cid']))",
"course = self.test_settings['test_course_with_registra... | <|body_start_0|>
course = self.test_settings['test_course']
self.search_for_course(type=course['type'], school=course['school'], term=course['term'], year=course['year'], search_term=course['cid'])
self.assertTrue(self.search_page.is_course_displayed(cid=course['cid']))
<|end_body_0|>
<|body_st... | CourseSearchTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CourseSearchTests:
def test_course_search(self):
"""verify the course search functionality"""
<|body_0|>
def test_course_code_when_registrar_code_display_is_null(self):
"""Test when course has a registrar_code_display that is null in db. Expected result: Course Code ... | stack_v2_sparse_classes_75kplus_train_073918 | 2,347 | no_license | [
{
"docstring": "verify the course search functionality",
"name": "test_course_search",
"signature": "def test_course_search(self)"
},
{
"docstring": "Test when course has a registrar_code_display that is null in db. Expected result: Course Code will display the registrar_code :return:",
"nam... | 3 | stack_v2_sparse_classes_30k_train_006705 | Implement the Python class `CourseSearchTests` described below.
Class description:
Implement the CourseSearchTests class.
Method signatures and docstrings:
- def test_course_search(self): verify the course search functionality
- def test_course_code_when_registrar_code_display_is_null(self): Test when course has a re... | Implement the Python class `CourseSearchTests` described below.
Class description:
Implement the CourseSearchTests class.
Method signatures and docstrings:
- def test_course_search(self): verify the course search functionality
- def test_course_code_when_registrar_code_display_is_null(self): Test when course has a re... | c00f9af5bbe344d0cbf71bcdfe2c3af85ae4be4a | <|skeleton|>
class CourseSearchTests:
def test_course_search(self):
"""verify the course search functionality"""
<|body_0|>
def test_course_code_when_registrar_code_display_is_null(self):
"""Test when course has a registrar_code_display that is null in db. Expected result: Course Code ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CourseSearchTests:
def test_course_search(self):
"""verify the course search functionality"""
course = self.test_settings['test_course']
self.search_for_course(type=course['type'], school=course['school'], term=course['term'], year=course['year'], search_term=course['cid'])
sel... | the_stack_v2_python_sparse | selenium_tests/course_info/course_info_search_tests.py | Harvard-University-iCommons/canvas_account_admin_tools | train | 4 | |
d161974b8923897fd21d8e0879fbee9d8dc65081 | [
"auto = input('是否静音(Y/n):').strip()\nif auto in ['y', 'Y', '']:\n OPTIONS().Mute_Audio = True\nelse:\n OPTIONS().Mute_Audio = False",
"headless = input('是否显示自动化过程(y/N):').strip()\nif headless in ['y', 'Y']:\n OPTIONS().Headless = False\nelse:\n OPTIONS().Headless = True",
"token = input('是否持久化登录(Y/n... | <|body_start_0|>
auto = input('是否静音(Y/n):').strip()
if auto in ['y', 'Y', '']:
OPTIONS().Mute_Audio = True
else:
OPTIONS().Mute_Audio = False
<|end_body_0|>
<|body_start_1|>
headless = input('是否显示自动化过程(y/N):').strip()
if headless in ['y', 'Y']:
... | 选项管理类 | OPTIONS_MANAGE | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OPTIONS_MANAGE:
"""选项管理类"""
def __Auto(cls) -> None:
"""__Auto() -> None 禁音选项(默认: True) :return: None"""
<|body_0|>
def __Headless(cls) -> None:
"""__Headless() -> None 显示过程选项(默认: False) :return: None"""
<|body_1|>
def __Token(cls) -> None:
"... | stack_v2_sparse_classes_75kplus_train_073919 | 3,572 | permissive | [
{
"docstring": "__Auto() -> None 禁音选项(默认: True) :return: None",
"name": "__Auto",
"signature": "def __Auto(cls) -> None"
},
{
"docstring": "__Headless() -> None 显示过程选项(默认: False) :return: None",
"name": "__Headless",
"signature": "def __Headless(cls) -> None"
},
{
"docstring": "_... | 6 | stack_v2_sparse_classes_30k_train_052505 | Implement the Python class `OPTIONS_MANAGE` described below.
Class description:
选项管理类
Method signatures and docstrings:
- def __Auto(cls) -> None: __Auto() -> None 禁音选项(默认: True) :return: None
- def __Headless(cls) -> None: __Headless() -> None 显示过程选项(默认: False) :return: None
- def __Token(cls) -> None: __Token() -> ... | Implement the Python class `OPTIONS_MANAGE` described below.
Class description:
选项管理类
Method signatures and docstrings:
- def __Auto(cls) -> None: __Auto() -> None 禁音选项(默认: True) :return: None
- def __Headless(cls) -> None: __Headless() -> None 显示过程选项(默认: False) :return: None
- def __Token(cls) -> None: __Token() -> ... | 9e2a023917b86460fb02984aed9fe638c3d38dd4 | <|skeleton|>
class OPTIONS_MANAGE:
"""选项管理类"""
def __Auto(cls) -> None:
"""__Auto() -> None 禁音选项(默认: True) :return: None"""
<|body_0|>
def __Headless(cls) -> None:
"""__Headless() -> None 显示过程选项(默认: False) :return: None"""
<|body_1|>
def __Token(cls) -> None:
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OPTIONS_MANAGE:
"""选项管理类"""
def __Auto(cls) -> None:
"""__Auto() -> None 禁音选项(默认: True) :return: None"""
auto = input('是否静音(Y/n):').strip()
if auto in ['y', 'Y', '']:
OPTIONS().Mute_Audio = True
else:
OPTIONS().Mute_Audio = False
def __Headless... | the_stack_v2_python_sparse | inside/Options/Options_Manage.py | lifansama/learning-power | train | 1 |
48ae130d70feb9bc53d11c9d048e30c7fd28cd4c | [
"if n < 2:\n return []\nif n == 2:\n return [2]\ns = range(3, n, 2)\nmroot = n ** 0.5\nhalf = len(s)\ni = 0\nm = 3\nwhile m <= mroot:\n if s[i]:\n j = (m * m - 3) // 2\n if j < len(s):\n s[j] = 0\n while j < min(len(s), half):\n s[j] = 0\n j... | <|body_start_0|>
if n < 2:
return []
if n == 2:
return [2]
s = range(3, n, 2)
mroot = n ** 0.5
half = len(s)
i = 0
m = 3
while m <= mroot:
if s[i]:
j = (m * m - 3) // 2
if j < len(s):
... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def find_primes(n):
"""returns a list of prime numbers from 2 to < n"""
<|body_0|>
def judgeSquareSum(self, c):
""":type c: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n < 2:
return []
if n == 2:... | stack_v2_sparse_classes_75kplus_train_073920 | 1,325 | permissive | [
{
"docstring": "returns a list of prime numbers from 2 to < n",
"name": "find_primes",
"signature": "def find_primes(n)"
},
{
"docstring": ":type c: int :rtype: bool",
"name": "judgeSquareSum",
"signature": "def judgeSquareSum(self, c)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005930 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_primes(n): returns a list of prime numbers from 2 to < n
- def judgeSquareSum(self, c): :type c: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_primes(n): returns a list of prime numbers from 2 to < n
- def judgeSquareSum(self, c): :type c: int :rtype: bool
<|skeleton|>
class Solution:
def find_primes(n):
... | 844c6f18d06dcb397db76436e5f4b8ddcb1beddc | <|skeleton|>
class Solution:
def find_primes(n):
"""returns a list of prime numbers from 2 to < n"""
<|body_0|>
def judgeSquareSum(self, c):
""":type c: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def find_primes(n):
"""returns a list of prime numbers from 2 to < n"""
if n < 2:
return []
if n == 2:
return [2]
s = range(3, n, 2)
mroot = n ** 0.5
half = len(s)
i = 0
m = 3
while m <= mroot:
... | the_stack_v2_python_sparse | py/sum-of-square-numbers.py | ckclark/leetcode | train | 0 | |
4517e517e873ae242677697f5cda761a8c2be5fb | [
"self.sent_freq_dict = defaultdict(int)\nself.curr_sent = ''\nfor i in range(len(sentences)):\n self.sent_freq_dict[sentences[i]] = times[i]",
"if c == '#':\n self.sent_freq_dict[self.curr_sent] += 1\n self.curr_sent = ''\nelse:\n self.curr_sent += c\n L = len(self.curr_sent)\n temp_lst = []\n ... | <|body_start_0|>
self.sent_freq_dict = defaultdict(int)
self.curr_sent = ''
for i in range(len(sentences)):
self.sent_freq_dict[sentences[i]] = times[i]
<|end_body_0|>
<|body_start_1|>
if c == '#':
self.sent_freq_dict[self.curr_sent] += 1
self.curr_se... | AutocompleteSystem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.sent_freq_dict = ... | stack_v2_sparse_classes_75kplus_train_073921 | 1,296 | no_license | [
{
"docstring": ":type sentences: List[str] :type times: List[int]",
"name": "__init__",
"signature": "def __init__(self, sentences, times)"
},
{
"docstring": ":type c: str :rtype: List[str]",
"name": "input",
"signature": "def input(self, c)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047964 | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str] | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str]
<|skeleton|>
cla... | a9b2de06306f3929a82ef4e6613c972e9a2c2200 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
self.sent_freq_dict = defaultdict(int)
self.curr_sent = ''
for i in range(len(sentences)):
self.sent_freq_dict[sentences[i]] = times[i]
def input(s... | the_stack_v2_python_sparse | Practice_3/Design_Search_Autocomplete_System.py | anantvir/Leetcode-Problems | train | 1 | |
ed0208f820b21d24c1005f59a50359c6c34fd38e | [
"self.topic = sub_hedge_imu_json_topic(SYSTEM_REAL, THING_TYPE_AGENT, THING_GROUP_LOADER)\nif debug:\n print('[IMUSubscriber] topic name = {}'.format(self.topic))\nsuper().__init__(aws_iot_client_factory, name='IMU', topic_name=self.topic, debug=debug)",
"if self.debug:\n print('[IMUSubscriber] subscribed:{... | <|body_start_0|>
self.topic = sub_hedge_imu_json_topic(SYSTEM_REAL, THING_TYPE_AGENT, THING_GROUP_LOADER)
if debug:
print('[IMUSubscriber] topic name = {}'.format(self.topic))
super().__init__(aws_iot_client_factory, name='IMU', topic_name=self.topic, debug=debug)
<|end_body_0|>
<|b... | Marvelmindデータ(辞書型、IMUデータのみ)を AWS IoT Core から Subscirbe するパーツクラス。 | IMUSubscriber | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IMUSubscriber:
"""Marvelmindデータ(辞書型、IMUデータのみ)を AWS IoT Core から Subscirbe するパーツクラス。"""
def __init__(self, aws_iot_client_factory, debug=False):
"""Subscribeを実行する。 real/agent/loaderをSubscribeする。 引数： aws_iot_client_factory AWS IoT Coreファクトリオブジェクト debug デバッグフラグ 戻り値： なし"""
<|body_... | stack_v2_sparse_classes_75kplus_train_073922 | 7,541 | no_license | [
{
"docstring": "Subscribeを実行する。 real/agent/loaderをSubscribeする。 引数： aws_iot_client_factory AWS IoT Coreファクトリオブジェクト debug デバッグフラグ 戻り値： なし",
"name": "__init__",
"signature": "def __init__(self, aws_iot_client_factory, debug=False)"
},
{
"docstring": "Subscribe した Marvelmindデータ(辞書型、IMUデータのみ)を取得する。 引... | 2 | stack_v2_sparse_classes_30k_train_052855 | Implement the Python class `IMUSubscriber` described below.
Class description:
Marvelmindデータ(辞書型、IMUデータのみ)を AWS IoT Core から Subscirbe するパーツクラス。
Method signatures and docstrings:
- def __init__(self, aws_iot_client_factory, debug=False): Subscribeを実行する。 real/agent/loaderをSubscribeする。 引数： aws_iot_client_factory AWS IoT... | Implement the Python class `IMUSubscriber` described below.
Class description:
Marvelmindデータ(辞書型、IMUデータのみ)を AWS IoT Core から Subscirbe するパーツクラス。
Method signatures and docstrings:
- def __init__(self, aws_iot_client_factory, debug=False): Subscribeを実行する。 real/agent/loaderをSubscribeする。 引数： aws_iot_client_factory AWS IoT... | 1ec8c285fcb3996eaa77869b15af993696e113a8 | <|skeleton|>
class IMUSubscriber:
"""Marvelmindデータ(辞書型、IMUデータのみ)を AWS IoT Core から Subscirbe するパーツクラス。"""
def __init__(self, aws_iot_client_factory, debug=False):
"""Subscribeを実行する。 real/agent/loaderをSubscribeする。 引数： aws_iot_client_factory AWS IoT Coreファクトリオブジェクト debug デバッグフラグ 戻り値： なし"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IMUSubscriber:
"""Marvelmindデータ(辞書型、IMUデータのみ)を AWS IoT Core から Subscirbe するパーツクラス。"""
def __init__(self, aws_iot_client_factory, debug=False):
"""Subscribeを実行する。 real/agent/loaderをSubscribeする。 引数： aws_iot_client_factory AWS IoT Coreファクトリオブジェクト debug デバッグフラグ 戻り値： なし"""
self.topic = sub_hed... | the_stack_v2_python_sparse | parts/broker/sub/hedge.py | coolerking/agent_smith | train | 0 |
79018f99c43d9acb3717d20a86edbd2675c4c362 | [
"super(SubGraphLayer, self).__init__()\nself.mlp_input_size = feature_length\nself.mlp_output_size = feature_length\nself.hidden_size = 64\nself.node_encoder = nn.Sequential(nn.Linear(self.mlp_input_size, self.hidden_size), nn.LayerNorm(self.hidden_size), nn.ReLU(True), nn.Linear(self.hidden_size, self.mlp_output_s... | <|body_start_0|>
super(SubGraphLayer, self).__init__()
self.mlp_input_size = feature_length
self.mlp_output_size = feature_length
self.hidden_size = 64
self.node_encoder = nn.Sequential(nn.Linear(self.mlp_input_size, self.hidden_size), nn.LayerNorm(self.hidden_size), nn.ReLU(True... | One layer of subgraph, include the MLP of g_enc. The calculation detail in this paper's 3.2 section. Input some vectors with 'feature_length' length, the output's length is '2*feature_length'(because of concat operator). | SubGraphLayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubGraphLayer:
"""One layer of subgraph, include the MLP of g_enc. The calculation detail in this paper's 3.2 section. Input some vectors with 'feature_length' length, the output's length is '2*feature_length'(because of concat operator)."""
def __init__(self, feature_length):
""":pa... | stack_v2_sparse_classes_75kplus_train_073923 | 3,612 | no_license | [
{
"docstring": ":param feature_length: the length of input vector.",
"name": "__init__",
"signature": "def __init__(self, feature_length)"
},
{
"docstring": ":param x: A number of vectors. x.shape = [batch size, vNumber, feature_length] :return: All processed vectors with shape [batch size, vNum... | 2 | stack_v2_sparse_classes_30k_train_047943 | Implement the Python class `SubGraphLayer` described below.
Class description:
One layer of subgraph, include the MLP of g_enc. The calculation detail in this paper's 3.2 section. Input some vectors with 'feature_length' length, the output's length is '2*feature_length'(because of concat operator).
Method signatures ... | Implement the Python class `SubGraphLayer` described below.
Class description:
One layer of subgraph, include the MLP of g_enc. The calculation detail in this paper's 3.2 section. Input some vectors with 'feature_length' length, the output's length is '2*feature_length'(because of concat operator).
Method signatures ... | 0a314f7bdfc6db0247c92bc2c5c3806fdd18b885 | <|skeleton|>
class SubGraphLayer:
"""One layer of subgraph, include the MLP of g_enc. The calculation detail in this paper's 3.2 section. Input some vectors with 'feature_length' length, the output's length is '2*feature_length'(because of concat operator)."""
def __init__(self, feature_length):
""":pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubGraphLayer:
"""One layer of subgraph, include the MLP of g_enc. The calculation detail in this paper's 3.2 section. Input some vectors with 'feature_length' length, the output's length is '2*feature_length'(because of concat operator)."""
def __init__(self, feature_length):
""":param feature_l... | the_stack_v2_python_sparse | sub_graph.py | JieFeng-cse/dynamic_driving | train | 1 |
213774e45b33b5de93b0fb722fe19bc1a20a55c5 | [
"self.config = dict(max_depth=max_depth, sleep_seconds=sleep_seconds)\nsuper().__init__(config=self.config, **kwargs)\nreturn",
"from sklearn import datasets\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score\nfrom tim... | <|body_start_0|>
self.config = dict(max_depth=max_depth, sleep_seconds=sleep_seconds)
super().__init__(config=self.config, **kwargs)
return
<|end_body_0|>
<|body_start_1|>
from sklearn import datasets
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_sel... | IrisDemo | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IrisDemo:
def __init__(self, max_depth=None, sleep_seconds=0, **kwargs):
"""All the information you want to pass inside the flow function, you can embed in the config dictionary."""
<|body_0|>
def imports():
"""For remote executions, you better specify your imports e... | stack_v2_sparse_classes_75kplus_train_073924 | 2,960 | permissive | [
{
"docstring": "All the information you want to pass inside the flow function, you can embed in the config dictionary.",
"name": "__init__",
"signature": "def __init__(self, max_depth=None, sleep_seconds=0, **kwargs)"
},
{
"docstring": "For remote executions, you better specify your imports expl... | 3 | null | Implement the Python class `IrisDemo` described below.
Class description:
Implement the IrisDemo class.
Method signatures and docstrings:
- def __init__(self, max_depth=None, sleep_seconds=0, **kwargs): All the information you want to pass inside the flow function, you can embed in the config dictionary.
- def import... | Implement the Python class `IrisDemo` described below.
Class description:
Implement the IrisDemo class.
Method signatures and docstrings:
- def __init__(self, max_depth=None, sleep_seconds=0, **kwargs): All the information you want to pass inside the flow function, you can embed in the config dictionary.
- def import... | 10a8eeb30bfc71de4acfd4b0a20e51347cc31fcb | <|skeleton|>
class IrisDemo:
def __init__(self, max_depth=None, sleep_seconds=0, **kwargs):
"""All the information you want to pass inside the flow function, you can embed in the config dictionary."""
<|body_0|>
def imports():
"""For remote executions, you better specify your imports e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IrisDemo:
def __init__(self, max_depth=None, sleep_seconds=0, **kwargs):
"""All the information you want to pass inside the flow function, you can embed in the config dictionary."""
self.config = dict(max_depth=max_depth, sleep_seconds=sleep_seconds)
super().__init__(config=self.config... | the_stack_v2_python_sparse | src/affe/demo/IrisDemo.py | eliavw/affe | train | 1 | |
cd3e8572e1e7bfc4607a40f4198109b33d10a843 | [
"try:\n verify_token(request.headers)\nexcept Exception as err:\n ns.abort(401, message=err)\ntry:\n obs = observaciones_pre_asf.read(id)\nexcept psycopg2.Error as err:\n ns.abort(400, message=get_msg_pgerror(err))\nexcept EmptySetError:\n ns.abort(404, message=ObservacionPreAsf.obs_not_found)\nexcep... | <|body_start_0|>
try:
verify_token(request.headers)
except Exception as err:
ns.abort(401, message=err)
try:
obs = observaciones_pre_asf.read(id)
except psycopg2.Error as err:
ns.abort(400, message=get_msg_pgerror(err))
except Empty... | ObservacionPreAsf | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObservacionPreAsf:
def get(self, id):
"""To fetch an observation (preliminar de la ASF)"""
<|body_0|>
def put(self, id):
"""To update an observation (preliminar de la ASF)"""
<|body_1|>
def delete(self, id):
"""To delete an observation (prelimina... | stack_v2_sparse_classes_75kplus_train_073925 | 13,540 | no_license | [
{
"docstring": "To fetch an observation (preliminar de la ASF)",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "To update an observation (preliminar de la ASF)",
"name": "put",
"signature": "def put(self, id)"
},
{
"docstring": "To delete an observation (preli... | 3 | stack_v2_sparse_classes_30k_train_017555 | Implement the Python class `ObservacionPreAsf` described below.
Class description:
Implement the ObservacionPreAsf class.
Method signatures and docstrings:
- def get(self, id): To fetch an observation (preliminar de la ASF)
- def put(self, id): To update an observation (preliminar de la ASF)
- def delete(self, id): T... | Implement the Python class `ObservacionPreAsf` described below.
Class description:
Implement the ObservacionPreAsf class.
Method signatures and docstrings:
- def get(self, id): To fetch an observation (preliminar de la ASF)
- def put(self, id): To update an observation (preliminar de la ASF)
- def delete(self, id): T... | e00610fac26ef3ca078fd037c0649b70fa0e9a09 | <|skeleton|>
class ObservacionPreAsf:
def get(self, id):
"""To fetch an observation (preliminar de la ASF)"""
<|body_0|>
def put(self, id):
"""To update an observation (preliminar de la ASF)"""
<|body_1|>
def delete(self, id):
"""To delete an observation (prelimina... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ObservacionPreAsf:
def get(self, id):
"""To fetch an observation (preliminar de la ASF)"""
try:
verify_token(request.headers)
except Exception as err:
ns.abort(401, message=err)
try:
obs = observaciones_pre_asf.read(id)
except psycopg... | the_stack_v2_python_sparse | DOS/soa/service/genl/endpoints/observaciones_pre_asf.py | Telematica/knight-rider | train | 1 | |
8da0d16bb56fef384382aae050836db6a277536e | [
"self.tuples = kargs.pop('tuples', None)\nself.context = kargs.pop('context', None)\nself.form_values = kargs.pop('values', None)\nself.show_key = kargs.pop('show_key', None)\nself.is_empty = True\nsuper().__init__(*args, **kargs)\nif not self.form_values:\n self.form_values = [None] * len(self.tuples)\nfor idx,... | <|body_start_0|>
self.tuples = kargs.pop('tuples', None)
self.context = kargs.pop('context', None)
self.form_values = kargs.pop('values', None)
self.show_key = kargs.pop('show_key', None)
self.is_empty = True
super().__init__(*args, **kargs)
if not self.form_value... | Form to enter values in a row. | EnterActionIn | [
"LGPL-2.0-or-later",
"BSD-3-Clause",
"MIT",
"Apache-2.0",
"LGPL-2.1-only",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnterActionIn:
"""Form to enter values in a row."""
def __init__(self, *args, **kargs):
"""Store parameters and adjust questions, columns, etc."""
<|body_0|>
def get_key_value_pairs(self) -> Tuple[List, List, str, Any]:
"""Extract key/value pairs and primary key/... | stack_v2_sparse_classes_75kplus_train_073926 | 5,848 | permissive | [
{
"docstring": "Store parameters and adjust questions, columns, etc.",
"name": "__init__",
"signature": "def __init__(self, *args, **kargs)"
},
{
"docstring": "Extract key/value pairs and primary key/value. :return: Tuple with List[keys], List[values], where_field, where_value",
"name": "get... | 2 | stack_v2_sparse_classes_30k_val_001718 | Implement the Python class `EnterActionIn` described below.
Class description:
Form to enter values in a row.
Method signatures and docstrings:
- def __init__(self, *args, **kargs): Store parameters and adjust questions, columns, etc.
- def get_key_value_pairs(self) -> Tuple[List, List, str, Any]: Extract key/value p... | Implement the Python class `EnterActionIn` described below.
Class description:
Form to enter values in a row.
Method signatures and docstrings:
- def __init__(self, *args, **kargs): Store parameters and adjust questions, columns, etc.
- def get_key_value_pairs(self) -> Tuple[List, List, str, Any]: Extract key/value p... | c432745dfff932cbe7397100422d49df78f0a882 | <|skeleton|>
class EnterActionIn:
"""Form to enter values in a row."""
def __init__(self, *args, **kargs):
"""Store parameters and adjust questions, columns, etc."""
<|body_0|>
def get_key_value_pairs(self) -> Tuple[List, List, str, Any]:
"""Extract key/value pairs and primary key/... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EnterActionIn:
"""Form to enter values in a row."""
def __init__(self, *args, **kargs):
"""Store parameters and adjust questions, columns, etc."""
self.tuples = kargs.pop('tuples', None)
self.context = kargs.pop('context', None)
self.form_values = kargs.pop('values', None)... | the_stack_v2_python_sparse | ontask/action/forms/edit.py | abelardopardo/ontask_b | train | 43 |
c30b39416dac2595e237ce80723bff435462093a | [
"super().__init__(url)\nself._endpoint = SPARQLWrapper(url)\nself._endpoint.setReturnFormat(JSON)",
"self._endpoint.setQuery(sparql)\nresponse = self._endpoint.query()\nreturn self.convert(response)",
"converted_response = []\nif response:\n response = response.convert()\n var = response['head']['vars'][0... | <|body_start_0|>
super().__init__(url)
self._endpoint = SPARQLWrapper(url)
self._endpoint.setReturnFormat(JSON)
<|end_body_0|>
<|body_start_1|>
self._endpoint.setQuery(sparql)
response = self._endpoint.query()
return self.convert(response)
<|end_body_1|>
<|body_start_2|... | Class which issues SPARQL queries to an endpoint | SPARQLEndpoint | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SPARQLEndpoint:
"""Class which issues SPARQL queries to an endpoint"""
def __init__(self, url):
""":param url: The SPARQL endpoint :url: str"""
<|body_0|>
def query(self, ontology, sparql, err_msg):
"""Issues SPARQL query"""
<|body_1|>
def convert(se... | stack_v2_sparse_classes_75kplus_train_073927 | 16,768 | permissive | [
{
"docstring": ":param url: The SPARQL endpoint :url: str",
"name": "__init__",
"signature": "def __init__(self, url)"
},
{
"docstring": "Issues SPARQL query",
"name": "query",
"signature": "def query(self, ontology, sparql, err_msg)"
},
{
"docstring": "Converts standard SPARQL q... | 3 | stack_v2_sparse_classes_30k_train_014089 | Implement the Python class `SPARQLEndpoint` described below.
Class description:
Class which issues SPARQL queries to an endpoint
Method signatures and docstrings:
- def __init__(self, url): :param url: The SPARQL endpoint :url: str
- def query(self, ontology, sparql, err_msg): Issues SPARQL query
- def convert(self, ... | Implement the Python class `SPARQLEndpoint` described below.
Class description:
Class which issues SPARQL queries to an endpoint
Method signatures and docstrings:
- def __init__(self, url): :param url: The SPARQL endpoint :url: str
- def query(self, ontology, sparql, err_msg): Issues SPARQL query
- def convert(self, ... | 84f6d3fced521849657d21ae4cb9681f5897b957 | <|skeleton|>
class SPARQLEndpoint:
"""Class which issues SPARQL queries to an endpoint"""
def __init__(self, url):
""":param url: The SPARQL endpoint :url: str"""
<|body_0|>
def query(self, ontology, sparql, err_msg):
"""Issues SPARQL query"""
<|body_1|>
def convert(se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SPARQLEndpoint:
"""Class which issues SPARQL queries to an endpoint"""
def __init__(self, url):
""":param url: The SPARQL endpoint :url: str"""
super().__init__(url)
self._endpoint = SPARQLWrapper(url)
self._endpoint.setReturnFormat(JSON)
def query(self, ontology, spa... | the_stack_v2_python_sparse | venv/lib/python3.9/site-packages/tyto/endpoint/endpoint.py | ClassWizard/PodLockParser | train | 2 |
b23a4f10e6832228d0190d82263907644be4854b | [
"self.restart = restart\nself.attacks = list(map(construct_attack, base_attack_names))\nlogging.info('UNION CONFIG CREATION: %s', self.__dict__)",
"batch_shape = [x.shape[0]] + [1] * (x.shape.rank - 1)\nadv_x = x\nadv_loss = tf.zeros(batch_shape)\nfor attack in self.attacks:\n for _ in range(self.restart):\n ... | <|body_start_0|>
self.restart = restart
self.attacks = list(map(construct_attack, base_attack_names))
logging.info('UNION CONFIG CREATION: %s', self.__dict__)
<|end_body_0|>
<|body_start_1|>
batch_shape = [x.shape[0]] + [1] * (x.shape.rank - 1)
adv_x = x
adv_loss = tf.ze... | Composite Attack class with 1+ base attacks and 1+ restarts. For each example, this attack evaluates each base attack with N restarts and take the one with the highest loss. | UnionAttack | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnionAttack:
"""Composite Attack class with 1+ base attacks and 1+ restarts. For each example, this attack evaluates each base attack with N restarts and take the one with the highest loss."""
def __init__(self, base_attack_names, restart):
"""Constructs an Attack object wrapping a b... | stack_v2_sparse_classes_75kplus_train_073928 | 9,538 | permissive | [
{
"docstring": "Constructs an Attack object wrapping a base attack with restarts. Args: base_attack_names: List of base attacks, any of ('l1', 'l2', 'linf'). restart: Number of restarts for each attack.",
"name": "__init__",
"signature": "def __init__(self, base_attack_names, restart)"
},
{
"doc... | 2 | stack_v2_sparse_classes_30k_train_001071 | Implement the Python class `UnionAttack` described below.
Class description:
Composite Attack class with 1+ base attacks and 1+ restarts. For each example, this attack evaluates each base attack with N restarts and take the one with the highest loss.
Method signatures and docstrings:
- def __init__(self, base_attack_... | Implement the Python class `UnionAttack` described below.
Class description:
Composite Attack class with 1+ base attacks and 1+ restarts. For each example, this attack evaluates each base attack with N restarts and take the one with the highest loss.
Method signatures and docstrings:
- def __init__(self, base_attack_... | aaa9d3e4733f3b551823b86f67cf8a572acfeb7d | <|skeleton|>
class UnionAttack:
"""Composite Attack class with 1+ base attacks and 1+ restarts. For each example, this attack evaluates each base attack with N restarts and take the one with the highest loss."""
def __init__(self, base_attack_names, restart):
"""Constructs an Attack object wrapping a b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnionAttack:
"""Composite Attack class with 1+ base attacks and 1+ restarts. For each example, this attack evaluates each base attack with N restarts and take the one with the highest loss."""
def __init__(self, base_attack_names, restart):
"""Constructs an Attack object wrapping a base attack wi... | the_stack_v2_python_sparse | research/multi_representation_adversary/multi_representation_adversary/attacks.py | jango-blockchained/neural-structured-learning | train | 0 |
ed88116f654c80d60f32045f225fd58046e6f737 | [
"self.preorder = preorder\nself.inorder = inorder\nreturn self.dfs(pbegin=0, pend=len(preorder), ibegin=0, iend=len(inorder))",
"if pbegin >= pend:\n return None\nif pbegin + 1 == pend:\n return TreeNode(self.preorder[pbegin])\ni = self.inorder.index(self.preorder[pbegin])\ni = i - ibegin\nans = TreeNode(se... | <|body_start_0|>
self.preorder = preorder
self.inorder = inorder
return self.dfs(pbegin=0, pend=len(preorder), ibegin=0, iend=len(inorder))
<|end_body_0|>
<|body_start_1|>
if pbegin >= pend:
return None
if pbegin + 1 == pend:
return TreeNode(self.preorder... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def buildTree(self, preorder, inorder):
""":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode"""
<|body_0|>
def dfs(self, pbegin, pend, ibegin, iend):
""":param pbegin:前序开始节点 :param pend: 前序结束节点 :param ibegin: 中序开始结点 :param iend: 中序结束节点 :re... | stack_v2_sparse_classes_75kplus_train_073929 | 2,259 | no_license | [
{
"docstring": ":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode",
"name": "buildTree",
"signature": "def buildTree(self, preorder, inorder)"
},
{
"docstring": ":param pbegin:前序开始节点 :param pend: 前序结束节点 :param ibegin: 中序开始结点 :param iend: 中序结束节点 :return:",
"name": "dfs",
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buildTree(self, preorder, inorder): :type preorder: List[int] :type inorder: List[int] :rtype: TreeNode
- def dfs(self, pbegin, pend, ibegin, iend): :param pbegin:前序开始节点 :par... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buildTree(self, preorder, inorder): :type preorder: List[int] :type inorder: List[int] :rtype: TreeNode
- def dfs(self, pbegin, pend, ibegin, iend): :param pbegin:前序开始节点 :par... | 006a142e7d1023f8c542f6642a67ab88ea0af8f7 | <|skeleton|>
class Solution:
def buildTree(self, preorder, inorder):
""":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode"""
<|body_0|>
def dfs(self, pbegin, pend, ibegin, iend):
""":param pbegin:前序开始节点 :param pend: 前序结束节点 :param ibegin: 中序开始结点 :param iend: 中序结束节点 :re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def buildTree(self, preorder, inorder):
""":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode"""
self.preorder = preorder
self.inorder = inorder
return self.dfs(pbegin=0, pend=len(preorder), ibegin=0, iend=len(inorder))
def dfs(self, pbegin, pend... | the_stack_v2_python_sparse | DFS/105. Construct Binary Tree from Preorder and Inorder Traversal.py | ShenMinXu/Leetcode-by-python | train | 0 | |
45119d87ddb7bb131bb7dff554a8ae5cf4d65d02 | [
"filter_parser = reqparse.RequestParser(bundle_errors=True)\nfilter_parser.add_argument('page', type=int, default=DEFAULT_PAGE, location='args')\nfilter_parser.add_argument('size', type=int, default=DEFAULT_SITE, location='args')\nfilter_parser.add_argument('applicant_id', type=int, store_missing=False, location='a... | <|body_start_0|>
filter_parser = reqparse.RequestParser(bundle_errors=True)
filter_parser.add_argument('page', type=int, default=DEFAULT_PAGE, location='args')
filter_parser.add_argument('size', type=int, default=DEFAULT_SITE, location='args')
filter_parser.add_argument('applicant_id', t... | SpecimenItemsResource | SpecimenItemsResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpecimenItemsResource:
"""SpecimenItemsResource"""
def get(self):
"""Example: curl http://0.0.0.0:8000/specimen_item curl http://0.0.0.0:8000/specimen_item?page=1&size=20 :return:"""
<|body_0|>
def post(self):
"""Example: curl http://0.0.0.0:8000/specimen_item -H... | stack_v2_sparse_classes_75kplus_train_073930 | 10,445 | no_license | [
{
"docstring": "Example: curl http://0.0.0.0:8000/specimen_item curl http://0.0.0.0:8000/specimen_item?page=1&size=20 :return:",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Example: curl http://0.0.0.0:8000/specimen_item -H \"Content-Type: application/json\" -X POST -d ' { \"s... | 3 | stack_v2_sparse_classes_30k_train_037453 | Implement the Python class `SpecimenItemsResource` described below.
Class description:
SpecimenItemsResource
Method signatures and docstrings:
- def get(self): Example: curl http://0.0.0.0:8000/specimen_item curl http://0.0.0.0:8000/specimen_item?page=1&size=20 :return:
- def post(self): Example: curl http://0.0.0.0:... | Implement the Python class `SpecimenItemsResource` described below.
Class description:
SpecimenItemsResource
Method signatures and docstrings:
- def get(self): Example: curl http://0.0.0.0:8000/specimen_item curl http://0.0.0.0:8000/specimen_item?page=1&size=20 :return:
- def post(self): Example: curl http://0.0.0.0:... | 0b44d83b95079734ac9aa78bc7af40a0a7530bca | <|skeleton|>
class SpecimenItemsResource:
"""SpecimenItemsResource"""
def get(self):
"""Example: curl http://0.0.0.0:8000/specimen_item curl http://0.0.0.0:8000/specimen_item?page=1&size=20 :return:"""
<|body_0|>
def post(self):
"""Example: curl http://0.0.0.0:8000/specimen_item -H... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpecimenItemsResource:
"""SpecimenItemsResource"""
def get(self):
"""Example: curl http://0.0.0.0:8000/specimen_item curl http://0.0.0.0:8000/specimen_item?page=1&size=20 :return:"""
filter_parser = reqparse.RequestParser(bundle_errors=True)
filter_parser.add_argument('page', type... | the_stack_v2_python_sparse | apps/lims/specimen_item/resource.py | zhanghe06/lims_project | train | 1 |
375ef742badf653713e27ba908eb0bc1044b3fcf | [
"set_req = self.gateway.const.SetReq\nif set_req.V_DIMMER in self._values:\n return SUPPORT_BRIGHTNESS | SUPPORT_COLOR\nreturn SUPPORT_COLOR",
"self._turn_on_light()\nself._turn_on_dimmer(**kwargs)\nself._turn_on_rgb_and_w('%02x%02x%02x', **kwargs)\nif self.assumed_state:\n self.async_write_ha_state()",
"... | <|body_start_0|>
set_req = self.gateway.const.SetReq
if set_req.V_DIMMER in self._values:
return SUPPORT_BRIGHTNESS | SUPPORT_COLOR
return SUPPORT_COLOR
<|end_body_0|>
<|body_start_1|>
self._turn_on_light()
self._turn_on_dimmer(**kwargs)
self._turn_on_rgb_and... | RGB child class to MySensorsLight. | MySensorsLightRGB | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySensorsLightRGB:
"""RGB child class to MySensorsLight."""
def supported_features(self) -> int:
"""Flag supported features."""
<|body_0|>
async def async_turn_on(self, **kwargs: Any) -> None:
"""Turn the device on."""
<|body_1|>
async def async_upda... | stack_v2_sparse_classes_75kplus_train_073931 | 9,412 | permissive | [
{
"docstring": "Flag supported features.",
"name": "supported_features",
"signature": "def supported_features(self) -> int"
},
{
"docstring": "Turn the device on.",
"name": "async_turn_on",
"signature": "async def async_turn_on(self, **kwargs: Any) -> None"
},
{
"docstring": "Upd... | 3 | null | Implement the Python class `MySensorsLightRGB` described below.
Class description:
RGB child class to MySensorsLight.
Method signatures and docstrings:
- def supported_features(self) -> int: Flag supported features.
- async def async_turn_on(self, **kwargs: Any) -> None: Turn the device on.
- async def async_update(s... | Implement the Python class `MySensorsLightRGB` described below.
Class description:
RGB child class to MySensorsLight.
Method signatures and docstrings:
- def supported_features(self) -> int: Flag supported features.
- async def async_turn_on(self, **kwargs: Any) -> None: Turn the device on.
- async def async_update(s... | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | <|skeleton|>
class MySensorsLightRGB:
"""RGB child class to MySensorsLight."""
def supported_features(self) -> int:
"""Flag supported features."""
<|body_0|>
async def async_turn_on(self, **kwargs: Any) -> None:
"""Turn the device on."""
<|body_1|>
async def async_upda... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MySensorsLightRGB:
"""RGB child class to MySensorsLight."""
def supported_features(self) -> int:
"""Flag supported features."""
set_req = self.gateway.const.SetReq
if set_req.V_DIMMER in self._values:
return SUPPORT_BRIGHTNESS | SUPPORT_COLOR
return SUPPORT_COL... | the_stack_v2_python_sparse | homeassistant/components/mysensors/light.py | BenWoodford/home-assistant | train | 11 |
fff1f72334b3a548d214143385f5aeaf676dd188 | [
"count = 0\nwhile n:\n if n & 1:\n count += 1\n n >>= 1\nreturn count",
"count = 0\nwhile n:\n n &= n - 1\n count += 1\nreturn count"
] | <|body_start_0|>
count = 0
while n:
if n & 1:
count += 1
n >>= 1
return count
<|end_body_0|>
<|body_start_1|>
count = 0
while n:
n &= n - 1
count += 1
return count
<|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 hammingWeight(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
count = 0
while n:
if n & 1:
... | stack_v2_sparse_classes_75kplus_train_073932 | 1,056 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "hammingWeight",
"signature": "def hammingWeight(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "hammingWeight",
"signature": "def hammingWeight(self, n)"
}
] | 2 | null | 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 hammingWeight(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 hammingWeight(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def hammingWeight(self, n):
... | b209bb253c7b83db0db72bbd47cd306b8fd8b551 | <|skeleton|>
class Solution:
def hammingWeight(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def hammingWeight(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def hammingWeight(self, n):
""":type n: int :rtype: int"""
count = 0
while n:
if n & 1:
count += 1
n >>= 1
return count
def hammingWeight(self, n):
""":type n: int :rtype: int"""
count = 0
while n:
... | the_stack_v2_python_sparse | 191_hammingWeight.py | taitujing123/my_leetcode | train | 1 | |
8de18584fdf13bfaf3552501ef1366ea05303fc1 | [
"page_data = super(AdminLabels, self).GatherPageData(mr)\nconfig = self.services.config.GetProjectConfig(mr.cnxn, mr.project_id)\nfield_def_views = [tracker_views.FieldDefView(fd, config) for fd in config.field_defs if not fd.is_deleted]\npage_data.update({'field_defs': field_def_views})\nreturn page_data",
"wkl_... | <|body_start_0|>
page_data = super(AdminLabels, self).GatherPageData(mr)
config = self.services.config.GetProjectConfig(mr.cnxn, mr.project_id)
field_def_views = [tracker_views.FieldDefView(fd, config) for fd in config.field_defs if not fd.is_deleted]
page_data.update({'field_defs': fiel... | Servlet allowing project owners to labels and fields. | AdminLabels | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdminLabels:
"""Servlet allowing project owners to labels and fields."""
def GatherPageData(self, mr):
"""Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the p... | stack_v2_sparse_classes_75kplus_train_073933 | 24,142 | permissive | [
{
"docstring": "Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the page.",
"name": "GatherPageData",
"signature": "def GatherPageData(self, mr)"
},
{
"docstring": "Proces... | 2 | stack_v2_sparse_classes_30k_train_036877 | Implement the Python class `AdminLabels` described below.
Class description:
Servlet allowing project owners to labels and fields.
Method signatures and docstrings:
- def GatherPageData(self, mr): Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request... | Implement the Python class `AdminLabels` described below.
Class description:
Servlet allowing project owners to labels and fields.
Method signatures and docstrings:
- def GatherPageData(self, mr): Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request... | 09064105713603f7bf75c772e8354800a1bfa256 | <|skeleton|>
class AdminLabels:
"""Servlet allowing project owners to labels and fields."""
def GatherPageData(self, mr):
"""Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AdminLabels:
"""Servlet allowing project owners to labels and fields."""
def GatherPageData(self, mr):
"""Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the page."""
... | the_stack_v2_python_sparse | appengine/monorail/tracker/issueadmin.py | mcgreevy/chromium-infra | train | 1 |
03374d2f2f58de202c0fc305e7110378b9601227 | [
"self.path_base_dir = base_dir\nself.path_script_dir = script_dir\nself.path_app_folder = app_dir\nself.do_analysis = do_analysis",
"logging.info('Initiating Android analysis.')\nself.bool_generate_graph = bool_gen_graph\nself.graph_type = graph_type\nself.master_bug_object = bug_object\nself.bool_pull_apps = boo... | <|body_start_0|>
self.path_base_dir = base_dir
self.path_script_dir = script_dir
self.path_app_folder = app_dir
self.do_analysis = do_analysis
<|end_body_0|>
<|body_start_1|>
logging.info('Initiating Android analysis.')
self.bool_generate_graph = bool_gen_graph
s... | PluginMain | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PluginMain:
def __init__(self, base_dir, script_dir, app_dir, do_analysis=True):
"""Sets script paths. :param base_dir: string specifying path to the base/root directory (contains src/, templates/, etc) :param script_dir: string specifying path to the main script directory, i.e., <root>/... | stack_v2_sparse_classes_75kplus_train_073934 | 3,227 | permissive | [
{
"docstring": "Sets script paths. :param base_dir: string specifying path to the base/root directory (contains src/, templates/, etc) :param script_dir: string specifying path to the main script directory, i.e., <root>/src/ :param app_dir: string specifying path to the directory containing the applications und... | 4 | stack_v2_sparse_classes_30k_train_006624 | Implement the Python class `PluginMain` described below.
Class description:
Implement the PluginMain class.
Method signatures and docstrings:
- def __init__(self, base_dir, script_dir, app_dir, do_analysis=True): Sets script paths. :param base_dir: string specifying path to the base/root directory (contains src/, tem... | Implement the Python class `PluginMain` described below.
Class description:
Implement the PluginMain class.
Method signatures and docstrings:
- def __init__(self, base_dir, script_dir, app_dir, do_analysis=True): Sets script paths. :param base_dir: string specifying path to the base/root directory (contains src/, tem... | 641e600cc98c17607ce9743231d11beef064756f | <|skeleton|>
class PluginMain:
def __init__(self, base_dir, script_dir, app_dir, do_analysis=True):
"""Sets script paths. :param base_dir: string specifying path to the base/root directory (contains src/, templates/, etc) :param script_dir: string specifying path to the main script directory, i.e., <root>/... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PluginMain:
def __init__(self, base_dir, script_dir, app_dir, do_analysis=True):
"""Sets script paths. :param base_dir: string specifying path to the base/root directory (contains src/, templates/, etc) :param script_dir: string specifying path to the main script directory, i.e., <root>/src/ :param ap... | the_stack_v2_python_sparse | application/flow_reslove/src/plugins/android/main.py | arnow117/androhunter | train | 0 | |
f581d53cc65ab7d72fb7463c501bd26a0227ab4e | [
"sc.logger.info('小影圈推荐页面初始状态检查开始')\nfun_name = 'test_planet_notify_ui'\ntime.sleep(1)\nsc.logger.info('开始查找小影圈按钮')\nel_planet = sc.driver.find_element_by_id('com.quvideo.xiaoying:id/img_find')\nel_planet.click()\ntime.sleep(0.5)\nsc.logger.info('开始查找小影圈消息中心图标')\nel_notify = sc.driver.find_element_by_id('com.quvideo... | <|body_start_0|>
sc.logger.info('小影圈推荐页面初始状态检查开始')
fun_name = 'test_planet_notify_ui'
time.sleep(1)
sc.logger.info('开始查找小影圈按钮')
el_planet = sc.driver.find_element_by_id('com.quvideo.xiaoying:id/img_find')
el_planet.click()
time.sleep(0.5)
sc.logger.info('开... | 小影圈通知页的测试类，分步截图. | TestPlanetNotify | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPlanetNotify:
"""小影圈通知页的测试类，分步截图."""
def test_planet_notify_ui(self):
"""小影圈推荐页面初始状态测试."""
<|body_0|>
def test_notify_activity(self):
"""测试消息中心动态."""
<|body_1|>
def test_notify_info(self):
"""测试消息中心通知页."""
<|body_2|>
def test... | stack_v2_sparse_classes_75kplus_train_073935 | 2,959 | no_license | [
{
"docstring": "小影圈推荐页面初始状态测试.",
"name": "test_planet_notify_ui",
"signature": "def test_planet_notify_ui(self)"
},
{
"docstring": "测试消息中心动态.",
"name": "test_notify_activity",
"signature": "def test_notify_activity(self)"
},
{
"docstring": "测试消息中心通知页.",
"name": "test_notify_i... | 4 | stack_v2_sparse_classes_30k_train_006377 | Implement the Python class `TestPlanetNotify` described below.
Class description:
小影圈通知页的测试类，分步截图.
Method signatures and docstrings:
- def test_planet_notify_ui(self): 小影圈推荐页面初始状态测试.
- def test_notify_activity(self): 测试消息中心动态.
- def test_notify_info(self): 测试消息中心通知页.
- def test_notify_message(self): 测试消息中心动态. | Implement the Python class `TestPlanetNotify` described below.
Class description:
小影圈通知页的测试类，分步截图.
Method signatures and docstrings:
- def test_planet_notify_ui(self): 小影圈推荐页面初始状态测试.
- def test_notify_activity(self): 测试消息中心动态.
- def test_notify_info(self): 测试消息中心通知页.
- def test_notify_message(self): 测试消息中心动态.
<|skel... | b1190e3df62fa85562c14625c06a9794b8ce29a0 | <|skeleton|>
class TestPlanetNotify:
"""小影圈通知页的测试类，分步截图."""
def test_planet_notify_ui(self):
"""小影圈推荐页面初始状态测试."""
<|body_0|>
def test_notify_activity(self):
"""测试消息中心动态."""
<|body_1|>
def test_notify_info(self):
"""测试消息中心通知页."""
<|body_2|>
def test... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestPlanetNotify:
"""小影圈通知页的测试类，分步截图."""
def test_planet_notify_ui(self):
"""小影圈推荐页面初始状态测试."""
sc.logger.info('小影圈推荐页面初始状态检查开始')
fun_name = 'test_planet_notify_ui'
time.sleep(1)
sc.logger.info('开始查找小影圈按钮')
el_planet = sc.driver.find_element_by_id('com.quvid... | the_stack_v2_python_sparse | Android/VivaVideo/test_community/test_planet/test_notify.py | hicheng/UItest | train | 0 |
1f5dd48e3a1863222ab6ce02b6c97ed368020faa | [
"self.layers = ModuleList([DetrTransformerEncoderLayer(**self.layer_cfg) for _ in range(self.num_layers)])\nembed_dims = self.layers[0].embed_dims\nself.embed_dims = embed_dims\nself.query_scale = MLP(embed_dims, embed_dims, embed_dims, 2)",
"for layer in self.layers:\n pos_scales = self.query_scale(query)\n ... | <|body_start_0|>
self.layers = ModuleList([DetrTransformerEncoderLayer(**self.layer_cfg) for _ in range(self.num_layers)])
embed_dims = self.layers[0].embed_dims
self.embed_dims = embed_dims
self.query_scale = MLP(embed_dims, embed_dims, embed_dims, 2)
<|end_body_0|>
<|body_start_1|>
... | Encoder of DAB-DETR. | DABDetrTransformerEncoder | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DABDetrTransformerEncoder:
"""Encoder of DAB-DETR."""
def _init_layers(self):
"""Initialize encoder layers."""
<|body_0|>
def forward(self, query: Tensor, query_pos: Tensor, key_padding_mask: Tensor, **kwargs):
"""Forward function of encoder. Args: query (Tensor)... | stack_v2_sparse_classes_75kplus_train_073936 | 11,683 | permissive | [
{
"docstring": "Initialize encoder layers.",
"name": "_init_layers",
"signature": "def _init_layers(self)"
},
{
"docstring": "Forward function of encoder. Args: query (Tensor): Input queries of encoder, has shape (bs, num_queries, dim). query_pos (Tensor): The positional embeddings of the querie... | 2 | stack_v2_sparse_classes_30k_train_046254 | Implement the Python class `DABDetrTransformerEncoder` described below.
Class description:
Encoder of DAB-DETR.
Method signatures and docstrings:
- def _init_layers(self): Initialize encoder layers.
- def forward(self, query: Tensor, query_pos: Tensor, key_padding_mask: Tensor, **kwargs): Forward function of encoder.... | Implement the Python class `DABDetrTransformerEncoder` described below.
Class description:
Encoder of DAB-DETR.
Method signatures and docstrings:
- def _init_layers(self): Initialize encoder layers.
- def forward(self, query: Tensor, query_pos: Tensor, key_padding_mask: Tensor, **kwargs): Forward function of encoder.... | 8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6 | <|skeleton|>
class DABDetrTransformerEncoder:
"""Encoder of DAB-DETR."""
def _init_layers(self):
"""Initialize encoder layers."""
<|body_0|>
def forward(self, query: Tensor, query_pos: Tensor, key_padding_mask: Tensor, **kwargs):
"""Forward function of encoder. Args: query (Tensor)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DABDetrTransformerEncoder:
"""Encoder of DAB-DETR."""
def _init_layers(self):
"""Initialize encoder layers."""
self.layers = ModuleList([DetrTransformerEncoderLayer(**self.layer_cfg) for _ in range(self.num_layers)])
embed_dims = self.layers[0].embed_dims
self.embed_dims =... | the_stack_v2_python_sparse | ai/mmdetection/mmdet/models/layers/transformer/dab_detr_layers.py | alldatacenter/alldata | train | 774 |
d11d8dcf65bca64afdb191aa0f74f6bb242330fd | [
"DebugObject.__init__(self, 'AntialiasingManager')\nself.pipeline = pipeline\nself.jitter = False\nself.jitterOffsets = []\nself.jitterIndex = 0\nself.jitterPTA = PTAVecBase2f.emptyArray(1)\nself.create()",
"technique = self.pipeline.settings.antialiasingTechnique\nif technique not in self.availableTechniques:\n ... | <|body_start_0|>
DebugObject.__init__(self, 'AntialiasingManager')
self.pipeline = pipeline
self.jitter = False
self.jitterOffsets = []
self.jitterIndex = 0
self.jitterPTA = PTAVecBase2f.emptyArray(1)
self.create()
<|end_body_0|>
<|body_start_1|>
techniqu... | The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every second frame, and then merged with the previous... | AntialiasingManager | [
"WTFPL"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AntialiasingManager:
"""The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every ... | stack_v2_sparse_classes_75kplus_train_073937 | 3,455 | permissive | [
{
"docstring": "Creates the manager and directly setups the passes",
"name": "__init__",
"signature": "def __init__(self, pipeline)"
},
{
"docstring": "Setups the antialiasing passes, and also computes the jitter offsets",
"name": "create",
"signature": "def create(self)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_028199 | Implement the Python class `AntialiasingManager` described below.
Class description:
The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame ... | Implement the Python class `AntialiasingManager` described below.
Class description:
The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame ... | 12131b115775f97927633d71832af65b99eebd09 | <|skeleton|>
class AntialiasingManager:
"""The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AntialiasingManager:
"""The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every second frame,... | the_stack_v2_python_sparse | Code/AntialiasingManager.py | 2lost4u/RenderPipeline | train | 1 |
1c2595edd9546a9b522e60f2036e7ee1d2e978db | [
"number_list = []\nprelist = ['130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '147', '150', '151', '152', '153', '155', '156', '157', '158', '159', '186', '187', '188']\nend = '0123456789'\nfor i in range(n):\n number_list.append(random.choice(prelist) + ''.join(random.sample(end, 8)))\nret... | <|body_start_0|>
number_list = []
prelist = ['130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '147', '150', '151', '152', '153', '155', '156', '157', '158', '159', '186', '187', '188']
end = '0123456789'
for i in range(n):
number_list.append(random.choice... | StringUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StringUtil:
def random_phone_number(n):
"""随机生成11位手机号码方法 :param n: 生成手机号码的数量 :return: 手机号码的list"""
<|body_0|>
def random_chinese_str(n, lengh):
"""随机生成指定位数中文字符的方法 :param n: 生成多少个长度为lengh的字符串 :param lengh: 每个字符串的长度 :return: 长度为length的字符串的list列表"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_073938 | 1,678 | no_license | [
{
"docstring": "随机生成11位手机号码方法 :param n: 生成手机号码的数量 :return: 手机号码的list",
"name": "random_phone_number",
"signature": "def random_phone_number(n)"
},
{
"docstring": "随机生成指定位数中文字符的方法 :param n: 生成多少个长度为lengh的字符串 :param lengh: 每个字符串的长度 :return: 长度为length的字符串的list列表",
"name": "random_chinese_str",
... | 2 | stack_v2_sparse_classes_30k_train_031552 | Implement the Python class `StringUtil` described below.
Class description:
Implement the StringUtil class.
Method signatures and docstrings:
- def random_phone_number(n): 随机生成11位手机号码方法 :param n: 生成手机号码的数量 :return: 手机号码的list
- def random_chinese_str(n, lengh): 随机生成指定位数中文字符的方法 :param n: 生成多少个长度为lengh的字符串 :param lengh:... | Implement the Python class `StringUtil` described below.
Class description:
Implement the StringUtil class.
Method signatures and docstrings:
- def random_phone_number(n): 随机生成11位手机号码方法 :param n: 生成手机号码的数量 :return: 手机号码的list
- def random_chinese_str(n, lengh): 随机生成指定位数中文字符的方法 :param n: 生成多少个长度为lengh的字符串 :param lengh:... | b7e82387e2dcb32ede99abbda36d04e08efe92fb | <|skeleton|>
class StringUtil:
def random_phone_number(n):
"""随机生成11位手机号码方法 :param n: 生成手机号码的数量 :return: 手机号码的list"""
<|body_0|>
def random_chinese_str(n, lengh):
"""随机生成指定位数中文字符的方法 :param n: 生成多少个长度为lengh的字符串 :param lengh: 每个字符串的长度 :return: 长度为length的字符串的list列表"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StringUtil:
def random_phone_number(n):
"""随机生成11位手机号码方法 :param n: 生成手机号码的数量 :return: 手机号码的list"""
number_list = []
prelist = ['130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '147', '150', '151', '152', '153', '155', '156', '157', '158', '159', '186', '187', '188'... | the_stack_v2_python_sparse | hy_api_tmp/Utils/stringutil.py | MiaoMiao-Qi/hy_api_tmp_python | train | 0 | |
32581d6d4a692abf945cb3198599ef06ef15b76a | [
"l, r = (0, 0)\nlookup = set()\nmaxLen = 0\nwhile r < len(s):\n if s[r] not in lookup:\n lookup.add(s[r])\n maxLen = max(maxLen, r - l + 1)\n r += 1\n else:\n lookup.remove(s[l])\n l += 1\nreturn maxLen",
"l, r = (0, 0)\nlookup = {}\nmaxLen = 0\nwhile r < len(s):\n if s... | <|body_start_0|>
l, r = (0, 0)
lookup = set()
maxLen = 0
while r < len(s):
if s[r] not in lookup:
lookup.add(s[r])
maxLen = max(maxLen, r - l + 1)
r += 1
else:
lookup.remove(s[l])
l +=... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring1(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
l, r = (0, 0)
lookup = set()
... | stack_v2_sparse_classes_75kplus_train_073939 | 915 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring1",
"signature": "def lengthOfLongestSubstring1(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_test_002124 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring1(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring1(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def lengthOf... | d953abe2c9680f636563e76287d2f907e90ced63 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring1(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lengthOfLongestSubstring1(self, s):
""":type s: str :rtype: int"""
l, r = (0, 0)
lookup = set()
maxLen = 0
while r < len(s):
if s[r] not in lookup:
lookup.add(s[r])
maxLen = max(maxLen, r - l + 1)
... | the_stack_v2_python_sparse | python_leetcode_2020/Python_Leetcode_2020/3_longest_substring_no_repeating.py | xiangcao/Leetcode | train | 0 | |
40b35bd084e24510d981210cd0df518989c0f839 | [
"logger.info('用例编号：111-1---参数化测试不同杠杆倍数,5,10,20,50,100,成交，先限价多单，后限价空单，完全成交，验证余额')\ndeal_num = 100000000\nstock_price_dict = market_info_get(user=self.buyer, session=self.session, sda_id=sda_id)\nnow_stock_price = int(stock_price_dict['stockPrice'])\ndeal_price = int(int(now_stock_price) * 0.95)\nprint('deal price', ... | <|body_start_0|>
logger.info('用例编号：111-1---参数化测试不同杠杆倍数,5,10,20,50,100,成交，先限价多单，后限价空单，完全成交，验证余额')
deal_num = 100000000
stock_price_dict = market_info_get(user=self.buyer, session=self.session, sda_id=sda_id)
now_stock_price = int(stock_price_dict['stockPrice'])
deal_price = int(in... | 杠杆完全成交测试类 | TestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCase:
"""杠杆完全成交测试类"""
def test_01(self, lever):
"""参数化测试不同杠杆倍数成交，先限价多单，后限价空单 :return:"""
<|body_0|>
def test_02(self, lever):
"""参数化测试不同杠杆倍数成交，先限价空单，后限价多单"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
logger.info('用例编号：111-1---参数化测试不同杠杆倍数,... | stack_v2_sparse_classes_75kplus_train_073940 | 8,873 | no_license | [
{
"docstring": "参数化测试不同杠杆倍数成交，先限价多单，后限价空单 :return:",
"name": "test_01",
"signature": "def test_01(self, lever)"
},
{
"docstring": "参数化测试不同杠杆倍数成交，先限价空单，后限价多单",
"name": "test_02",
"signature": "def test_02(self, lever)"
}
] | 2 | null | Implement the Python class `TestCase` described below.
Class description:
杠杆完全成交测试类
Method signatures and docstrings:
- def test_01(self, lever): 参数化测试不同杠杆倍数成交，先限价多单，后限价空单 :return:
- def test_02(self, lever): 参数化测试不同杠杆倍数成交，先限价空单，后限价多单 | Implement the Python class `TestCase` described below.
Class description:
杠杆完全成交测试类
Method signatures and docstrings:
- def test_01(self, lever): 参数化测试不同杠杆倍数成交，先限价多单，后限价空单 :return:
- def test_02(self, lever): 参数化测试不同杠杆倍数成交，先限价空单，后限价多单
<|skeleton|>
class TestCase:
"""杠杆完全成交测试类"""
def test_01(self, lever):
... | 29f04fc05d4c1d8c950d726861b1884892cfbf58 | <|skeleton|>
class TestCase:
"""杠杆完全成交测试类"""
def test_01(self, lever):
"""参数化测试不同杠杆倍数成交，先限价多单，后限价空单 :return:"""
<|body_0|>
def test_02(self, lever):
"""参数化测试不同杠杆倍数成交，先限价空单，后限价多单"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestCase:
"""杠杆完全成交测试类"""
def test_01(self, lever):
"""参数化测试不同杠杆倍数成交，先限价多单，后限价空单 :return:"""
logger.info('用例编号：111-1---参数化测试不同杠杆倍数,5,10,20,50,100,成交，先限价多单，后限价空单，完全成交，验证余额')
deal_num = 100000000
stock_price_dict = market_info_get(user=self.buyer, session=self.session, sda_i... | the_stack_v2_python_sparse | case/SDA/test_111.py | xiaoxiangLiu/test | train | 0 |
5bb00eab175218c14123f30ae3f02272492d26f3 | [
"self.username = username\npassword = password.encode('utf8')\nself.password = md5(password).hexdigest()\nself.soft_id = soft_id\nself.base_params = {'user': self.username, 'pass2': self.password, 'softid': self.soft_id}\nself.headers = {'Accept-Encoding': 'gzip, deflate, sdch', 'Accept-Language': 'en-US,en;q=0.8',... | <|body_start_0|>
self.username = username
password = password.encode('utf8')
self.password = md5(password).hexdigest()
self.soft_id = soft_id
self.base_params = {'user': self.username, 'pass2': self.password, 'softid': self.soft_id}
self.headers = {'Accept-Encoding': 'gzi... | Chaojiying | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Chaojiying:
def __init__(self, username, password, soft_id):
""":param username: :param password: :param soft_id:"""
<|body_0|>
def PostPic(self, im, codetype):
""":param im: 图片字节 :param codetype: 题目类型 参考 http://www.chaojiying.com/price.html :return:"""
<|bod... | stack_v2_sparse_classes_75kplus_train_073941 | 7,494 | no_license | [
{
"docstring": ":param username: :param password: :param soft_id:",
"name": "__init__",
"signature": "def __init__(self, username, password, soft_id)"
},
{
"docstring": ":param im: 图片字节 :param codetype: 题目类型 参考 http://www.chaojiying.com/price.html :return:",
"name": "PostPic",
"signature... | 3 | stack_v2_sparse_classes_30k_train_051543 | Implement the Python class `Chaojiying` described below.
Class description:
Implement the Chaojiying class.
Method signatures and docstrings:
- def __init__(self, username, password, soft_id): :param username: :param password: :param soft_id:
- def PostPic(self, im, codetype): :param im: 图片字节 :param codetype: 题目类型 参考... | Implement the Python class `Chaojiying` described below.
Class description:
Implement the Chaojiying class.
Method signatures and docstrings:
- def __init__(self, username, password, soft_id): :param username: :param password: :param soft_id:
- def PostPic(self, im, codetype): :param im: 图片字节 :param codetype: 题目类型 参考... | a9705ebc3a6f95160ad9571d48675bc59876bd32 | <|skeleton|>
class Chaojiying:
def __init__(self, username, password, soft_id):
""":param username: :param password: :param soft_id:"""
<|body_0|>
def PostPic(self, im, codetype):
""":param im: 图片字节 :param codetype: 题目类型 参考 http://www.chaojiying.com/price.html :return:"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Chaojiying:
def __init__(self, username, password, soft_id):
""":param username: :param password: :param soft_id:"""
self.username = username
password = password.encode('utf8')
self.password = md5(password).hexdigest()
self.soft_id = soft_id
self.base_params = {... | the_stack_v2_python_sparse | codes/Module_4/lecture_23/lecture_23_1.py | Gedanke/Reptile_study_notes | train | 5 | |
71017a2fa5c59ca047137a97502d31ea6dfdb58a | [
"try:\n return self.request_debug(text)[0]\nexcept Exception:\n return '해당 문자열은 교정할 수 없습니다.'",
"try:\n return self.request_debug(text)[1]\nexcept Exception:\n return '해당 문자열은 교정할 수 없습니다.'",
"if len(text) > 500:\n raise Exception('500글자 이상 넘을 수 없음!')\nsess = Session()\ndata = sess.get(url='https:/... | <|body_start_0|>
try:
return self.request_debug(text)[0]
except Exception:
return '해당 문자열은 교정할 수 없습니다.'
<|end_body_0|>
<|body_start_1|>
try:
return self.request_debug(text)[1]
except Exception:
return '해당 문자열은 교정할 수 없습니다.'
<|end_body_1|>
... | SpellCrawler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpellCrawler:
def request(self, text: str) -> str:
"""맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열"""
<|body_0|>
def request_dict(self, text: str) -> str:
"""맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열"""... | stack_v2_sparse_classes_75kplus_train_073942 | 2,221 | permissive | [
{
"docstring": "맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열",
"name": "request",
"signature": "def request(self, text: str) -> str"
},
{
"docstring": "맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열",
"name": "request_dict",
"si... | 3 | stack_v2_sparse_classes_30k_train_011802 | Implement the Python class `SpellCrawler` described below.
Class description:
Implement the SpellCrawler class.
Method signatures and docstrings:
- def request(self, text: str) -> str: 맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열
- def request_dict(self, text: str) -> str: 맞춤법을 교정합니다. (... | Implement the Python class `SpellCrawler` described below.
Class description:
Implement the SpellCrawler class.
Method signatures and docstrings:
- def request(self, text: str) -> str: 맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열
- def request_dict(self, text: str) -> str: 맞춤법을 교정합니다. (... | 544857e4ac1c71b18f1e44f11f7ab41766e75de8 | <|skeleton|>
class SpellCrawler:
def request(self, text: str) -> str:
"""맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열"""
<|body_0|>
def request_dict(self, text: str) -> str:
"""맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpellCrawler:
def request(self, text: str) -> str:
"""맞춤법을 교정합니다. (try-catch로 에러가 나지 않는 함수) :param text: 교정할 문자열 :return: 교정된 문자열"""
try:
return self.request_debug(text)[0]
except Exception:
return '해당 문자열은 교정할 수 없습니다.'
def request_dict(self, text: str) -> ... | the_stack_v2_python_sparse | kocrawl/spell.py | vicjung/kocrawl | train | 0 | |
dd131b4529eceb1fb14c02010b498f83e901062d | [
"self.g = g\nself.visited = [False] * self.g.get_size()\nself.vertex_group = [0] * self.g.get_size()",
"if self.visited[v]:\n return\nself.visited[v] = True\nself.vertex_group[v] = group\nfor vertex in self.g.adj(v):\n self.dfs(vertex, group)",
"group = 0\nfor i in range(len(self.visited)):\n if not se... | <|body_start_0|>
self.g = g
self.visited = [False] * self.g.get_size()
self.vertex_group = [0] * self.g.get_size()
<|end_body_0|>
<|body_start_1|>
if self.visited[v]:
return
self.visited[v] = True
self.vertex_group[v] = group
for vertex in self.g.adj(... | class to compute connected components of given graph | ConnectedComponents | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConnectedComponents:
"""class to compute connected components of given graph"""
def __init__(self, g: Graph):
"""init with a graph :param g: Graph"""
<|body_0|>
def dfs(self, v: int, group: int):
"""dfs to mark components from the same group Complexity O(E + V) :... | stack_v2_sparse_classes_75kplus_train_073943 | 1,418 | no_license | [
{
"docstring": "init with a graph :param g: Graph",
"name": "__init__",
"signature": "def __init__(self, g: Graph)"
},
{
"docstring": "dfs to mark components from the same group Complexity O(E + V) :param v: starting vertex :param group: current group number",
"name": "dfs",
"signature":... | 4 | stack_v2_sparse_classes_30k_train_003037 | Implement the Python class `ConnectedComponents` described below.
Class description:
class to compute connected components of given graph
Method signatures and docstrings:
- def __init__(self, g: Graph): init with a graph :param g: Graph
- def dfs(self, v: int, group: int): dfs to mark components from the same group ... | Implement the Python class `ConnectedComponents` described below.
Class description:
class to compute connected components of given graph
Method signatures and docstrings:
- def __init__(self, g: Graph): init with a graph :param g: Graph
- def dfs(self, v: int, group: int): dfs to mark components from the same group ... | e24f1a422a998672d1e78ba6bc23dfa5836e3a51 | <|skeleton|>
class ConnectedComponents:
"""class to compute connected components of given graph"""
def __init__(self, g: Graph):
"""init with a graph :param g: Graph"""
<|body_0|>
def dfs(self, v: int, group: int):
"""dfs to mark components from the same group Complexity O(E + V) :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConnectedComponents:
"""class to compute connected components of given graph"""
def __init__(self, g: Graph):
"""init with a graph :param g: Graph"""
self.g = g
self.visited = [False] * self.g.get_size()
self.vertex_group = [0] * self.g.get_size()
def dfs(self, v: int... | the_stack_v2_python_sparse | graphs/connected_components.py | mkozel92/algos_py | train | 1 |
7e28a29756acf4c729884eab258db8b5561035f6 | [
"self.mIsOriented = oriented\nself.mVertexNumber = vertex_number\nself.mAdjacentMatrix = []\nfor i in range(self.mVertexNumber):\n self.mAdjacentMatrix.append([0] * self.mVertexNumber)",
"assert 0 <= source < self.mVertexNumber and 0 <= destination < self.mVertexNumber\nself.mAdjacentMatrix[source][destination... | <|body_start_0|>
self.mIsOriented = oriented
self.mVertexNumber = vertex_number
self.mAdjacentMatrix = []
for i in range(self.mVertexNumber):
self.mAdjacentMatrix.append([0] * self.mVertexNumber)
<|end_body_0|>
<|body_start_1|>
assert 0 <= source < self.mVertexNumber... | Graph | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Graph:
def __init__(self, oriented=False, vertex_number=20):
"""Конструктор графа :param oriented: Чи орієнтований граф :param vertex_number: Кількість вершин у графі"""
<|body_0|>
def addEdge(self, source, destination, weight=1):
"""Додавання ребра з кінцями в точка... | stack_v2_sparse_classes_75kplus_train_073944 | 2,619 | no_license | [
{
"docstring": "Конструктор графа :param oriented: Чи орієнтований граф :param vertex_number: Кількість вершин у графі",
"name": "__init__",
"signature": "def __init__(self, oriented=False, vertex_number=20)"
},
{
"docstring": "Додавання ребра з кінцями в точках source та destination з вагою wei... | 3 | null | Implement the Python class `Graph` described below.
Class description:
Implement the Graph class.
Method signatures and docstrings:
- def __init__(self, oriented=False, vertex_number=20): Конструктор графа :param oriented: Чи орієнтований граф :param vertex_number: Кількість вершин у графі
- def addEdge(self, source,... | Implement the Python class `Graph` described below.
Class description:
Implement the Graph class.
Method signatures and docstrings:
- def __init__(self, oriented=False, vertex_number=20): Конструктор графа :param oriented: Чи орієнтований граф :param vertex_number: Кількість вершин у графі
- def addEdge(self, source,... | 883c62f7846dde84204ea09a31fa1ce18ad2a98d | <|skeleton|>
class Graph:
def __init__(self, oriented=False, vertex_number=20):
"""Конструктор графа :param oriented: Чи орієнтований граф :param vertex_number: Кількість вершин у графі"""
<|body_0|>
def addEdge(self, source, destination, weight=1):
"""Додавання ребра з кінцями в точка... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Graph:
def __init__(self, oriented=False, vertex_number=20):
"""Конструктор графа :param oriented: Чи орієнтований граф :param vertex_number: Кількість вершин у графі"""
self.mIsOriented = oriented
self.mVertexNumber = vertex_number
self.mAdjacentMatrix = []
for i in ra... | the_stack_v2_python_sparse | source/T7_Graphs/P1_Definitions/L1_Graph.py | krenevych/algo | train | 8 | |
f306e44a195d1175628ba089569393ba03e39409 | [
"length = len(nums)\nif length == 0:\n return False\nlastPos = length - 1\nfor i in range(lastPos, -1, -1):\n if nums[i] + i >= lastPos:\n lastPos = i\nreturn lastPos == 0",
"maxs = 0\nfor i in range(len(nums) - 1):\n maxs = max(nums[i], maxs - 1)\n if maxs == 0:\n return False\nreturn T... | <|body_start_0|>
length = len(nums)
if length == 0:
return False
lastPos = length - 1
for i in range(lastPos, -1, -1):
if nums[i] + i >= lastPos:
lastPos = i
return lastPos == 0
<|end_body_0|>
<|body_start_1|>
maxs = 0
for ... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canJump1(self, nums):
""":type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%"""
<|body_0|>
def canJump2(self, nums):
""":type nums: List[int] :rtype: bool 时间复杂度O(n)：80ms beaten 95.70% 空间复杂度O(n): 13.2MB beaten ... | stack_v2_sparse_classes_75kplus_train_073945 | 1,989 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%",
"name": "canJump1",
"signature": "def canJump1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool 时间复杂度O(n)：80ms beaten 95.70% 空间复杂度O(n): 13.2MB beaten 46.28%",
"... | 2 | stack_v2_sparse_classes_30k_train_040441 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump1(self, nums): :type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%
- def canJump2(self, nums): :type nums: List[int] :rtype... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump1(self, nums): :type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%
- def canJump2(self, nums): :type nums: List[int] :rtype... | a2e5256f27dbfb23fc34119fc857cd9b00e28c03 | <|skeleton|>
class Solution:
def canJump1(self, nums):
""":type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%"""
<|body_0|>
def canJump2(self, nums):
""":type nums: List[int] :rtype: bool 时间复杂度O(n)：80ms beaten 95.70% 空间复杂度O(n): 13.2MB beaten ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def canJump1(self, nums):
""":type nums: List[int] :rtype: bool 时间复杂度O(n)：84ms beaten 99.33% 空间复杂度O(n): 13.2MB beaten 48.48%"""
length = len(nums)
if length == 0:
return False
lastPos = length - 1
for i in range(lastPos, -1, -1):
if num... | the_stack_v2_python_sparse | toTheMoon/leetcode_055_JumpGame.py | jercas/offer66-leetcode-newcode | train | 0 | |
88093189541a18e7ef1948859f5b54aad13ca59a | [
"ax = super()._plot(ax, axis_1, axis_2, downsample)\nif axis_1 is self._beta_axis:\n for curve in self.curves:\n for kink in curve.find_kinks():\n ax.axvline(kink, ls=':', c='k')\nreturn ax",
"fig, axs = plt.subplots(3, 2, figsize=(16, 16))\nself._plot(axs[0, 0], self._beta_axis, self._comple... | <|body_start_0|>
ax = super()._plot(ax, axis_1, axis_2, downsample)
if axis_1 is self._beta_axis:
for curve in self.curves:
for kink in curve.find_kinks():
ax.axvline(kink, ls=':', c='k')
return ax
<|end_body_0|>
<|body_start_1|>
fig, axs ... | A plotter for information bottleneck curves. | IBPlotter | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IBPlotter:
"""A plotter for information bottleneck curves."""
def _plot(self, ax, axis_1, axis_2, downsample):
"""Plot various views of the information bottleneck curve. Parameters ---------- downsample : int Show markers every `downsample` points."""
<|body_0|>
def plot... | stack_v2_sparse_classes_75kplus_train_073946 | 7,228 | permissive | [
{
"docstring": "Plot various views of the information bottleneck curve. Parameters ---------- downsample : int Show markers every `downsample` points.",
"name": "_plot",
"signature": "def _plot(self, ax, axis_1, axis_2, downsample)"
},
{
"docstring": "Plot various views of the information bottle... | 2 | null | Implement the Python class `IBPlotter` described below.
Class description:
A plotter for information bottleneck curves.
Method signatures and docstrings:
- def _plot(self, ax, axis_1, axis_2, downsample): Plot various views of the information bottleneck curve. Parameters ---------- downsample : int Show markers every... | Implement the Python class `IBPlotter` described below.
Class description:
A plotter for information bottleneck curves.
Method signatures and docstrings:
- def _plot(self, ax, axis_1, axis_2, downsample): Plot various views of the information bottleneck curve. Parameters ---------- downsample : int Show markers every... | b13c5020a2b8524527a4a0db5a81d8549142228c | <|skeleton|>
class IBPlotter:
"""A plotter for information bottleneck curves."""
def _plot(self, ax, axis_1, axis_2, downsample):
"""Plot various views of the information bottleneck curve. Parameters ---------- downsample : int Show markers every `downsample` points."""
<|body_0|>
def plot... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IBPlotter:
"""A plotter for information bottleneck curves."""
def _plot(self, ax, axis_1, axis_2, downsample):
"""Plot various views of the information bottleneck curve. Parameters ---------- downsample : int Show markers every `downsample` points."""
ax = super()._plot(ax, axis_1, axis_2... | the_stack_v2_python_sparse | dit/rate_distortion/plotting.py | dit/dit | train | 468 |
2ae18a43e56b56f94a11a3a4b7b81449f0b13c67 | [
"super(StreamingUploadTask, self).__init__(source_resource, destination_resource, posix_to_set=posix_to_set, print_source_version=print_source_version, user_request_args=user_request_args, verbose=verbose)\nself._source_resource = source_resource\nself._destination_resource = destination_resource\nself._print_creat... | <|body_start_0|>
super(StreamingUploadTask, self).__init__(source_resource, destination_resource, posix_to_set=posix_to_set, print_source_version=print_source_version, user_request_args=user_request_args, verbose=verbose)
self._source_resource = source_resource
self._destination_resource = desti... | Represents a command operation triggering a streaming upload. | StreamingUploadTask | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StreamingUploadTask:
"""Represents a command operation triggering a streaming upload."""
def __init__(self, source_resource, destination_resource, posix_to_set=None, print_created_message=False, print_source_version=False, user_request_args=None, verbose=False):
"""Initializes task. ... | stack_v2_sparse_classes_75kplus_train_073947 | 4,684 | permissive | [
{
"docstring": "Initializes task. Args: source_resource (FileObjectResource): Points to the stream or named pipe to read from. destination_resource (UnknownResource|ObjectResource): The full path of object to upload to. posix_to_set (PosixAttributes|None): Triggers setting POSIX on result of copy and avoids re-... | 2 | null | Implement the Python class `StreamingUploadTask` described below.
Class description:
Represents a command operation triggering a streaming upload.
Method signatures and docstrings:
- def __init__(self, source_resource, destination_resource, posix_to_set=None, print_created_message=False, print_source_version=False, u... | Implement the Python class `StreamingUploadTask` described below.
Class description:
Represents a command operation triggering a streaming upload.
Method signatures and docstrings:
- def __init__(self, source_resource, destination_resource, posix_to_set=None, print_created_message=False, print_source_version=False, u... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class StreamingUploadTask:
"""Represents a command operation triggering a streaming upload."""
def __init__(self, source_resource, destination_resource, posix_to_set=None, print_created_message=False, print_source_version=False, user_request_args=None, verbose=False):
"""Initializes task. ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StreamingUploadTask:
"""Represents a command operation triggering a streaming upload."""
def __init__(self, source_resource, destination_resource, posix_to_set=None, print_created_message=False, print_source_version=False, user_request_args=None, verbose=False):
"""Initializes task. Args: source_... | the_stack_v2_python_sparse | lib/googlecloudsdk/command_lib/storage/tasks/cp/streaming_upload_task.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
c81e2619c369e63c77674adda82d80fe0c826c6b | [
"queryset = Sight.objects.filter(is_valid=True, is_top=True)\ntry:\n paginator = Paginator(queryset, 20)\n current_page = 1\n page_data = paginator.page(current_page)\n objects = SightSerializer(page_data, many=True).data\n key = 'index_top'\n resp = {'code': 0, 'meta': {'current_page': current_pa... | <|body_start_0|>
queryset = Sight.objects.filter(is_valid=True, is_top=True)
try:
paginator = Paginator(queryset, 20)
current_page = 1
page_data = paginator.page(current_page)
objects = SightSerializer(page_data, many=True).data
key = 'index_to... | SightAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SightAdmin:
def cache_top_sight(self):
"""缓存精选景点"""
<|body_0|>
def cache_hot_sight(self):
"""缓存热门景点"""
<|body_1|>
def save_form(self, request, form, change):
"""新增/修改时缓存数据 :param request: :param form: 表单 :param change: 表单是否发送改变 :return:"""
... | stack_v2_sparse_classes_75kplus_train_073948 | 4,741 | no_license | [
{
"docstring": "缓存精选景点",
"name": "cache_top_sight",
"signature": "def cache_top_sight(self)"
},
{
"docstring": "缓存热门景点",
"name": "cache_hot_sight",
"signature": "def cache_hot_sight(self)"
},
{
"docstring": "新增/修改时缓存数据 :param request: :param form: 表单 :param change: 表单是否发送改变 :retu... | 4 | null | Implement the Python class `SightAdmin` described below.
Class description:
Implement the SightAdmin class.
Method signatures and docstrings:
- def cache_top_sight(self): 缓存精选景点
- def cache_hot_sight(self): 缓存热门景点
- def save_form(self, request, form, change): 新增/修改时缓存数据 :param request: :param form: 表单 :param change: ... | Implement the Python class `SightAdmin` described below.
Class description:
Implement the SightAdmin class.
Method signatures and docstrings:
- def cache_top_sight(self): 缓存精选景点
- def cache_hot_sight(self): 缓存热门景点
- def save_form(self, request, form, change): 新增/修改时缓存数据 :param request: :param form: 表单 :param change: ... | 14c94075094e1657b90b0bb3f94544d008255f45 | <|skeleton|>
class SightAdmin:
def cache_top_sight(self):
"""缓存精选景点"""
<|body_0|>
def cache_hot_sight(self):
"""缓存热门景点"""
<|body_1|>
def save_form(self, request, form, change):
"""新增/修改时缓存数据 :param request: :param form: 表单 :param change: 表单是否发送改变 :return:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SightAdmin:
def cache_top_sight(self):
"""缓存精选景点"""
queryset = Sight.objects.filter(is_valid=True, is_top=True)
try:
paginator = Paginator(queryset, 20)
current_page = 1
page_data = paginator.page(current_page)
objects = SightSerializer(p... | the_stack_v2_python_sparse | sight/admin.py | Tsurol/trip-server | train | 1 | |
653843e1c52b4884dc2e272b3f72b2f87dfd8189 | [
"context = context or {}\nres = {}.fromkeys(ids)\nfor wol_brw in self.browse(cr, uid, ids, context=context):\n wol_state = wol_brw.state\n wo_states = list(set([wo_brw.state for wo_brw in wol_brw.wo_ids]))\n if wol_state in ['draft', 'picking', 'ready', 'done', 'cancel']:\n res[wol_brw.id] = wol_sta... | <|body_start_0|>
context = context or {}
res = {}.fromkeys(ids)
for wol_brw in self.browse(cr, uid, ids, context=context):
wol_state = wol_brw.state
wo_states = list(set([wo_brw.state for wo_brw in wol_brw.wo_ids]))
if wol_state in ['draft', 'picking', 'ready'... | MrpWorkorderLot | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MrpWorkorderLot:
def _get_lot_state(self, cr, uid, ids, field_name, arg, context=None):
"""This method update the work order lot state taking into account the state of the work orders associated. This is the logic: - work orders 'done' -> work order lot change to 'done' (finished). - one... | stack_v2_sparse_classes_75kplus_train_073949 | 40,020 | no_license | [
{
"docstring": "This method update the work order lot state taking into account the state of the work orders associated. This is the logic: - work orders 'done' -> work order lot change to 'done' (finished). - one work order in 'pause' -> work order lot change to 'pending'. - one work order in 'cancel' -> work ... | 3 | null | Implement the Python class `MrpWorkorderLot` described below.
Class description:
Implement the MrpWorkorderLot class.
Method signatures and docstrings:
- def _get_lot_state(self, cr, uid, ids, field_name, arg, context=None): This method update the work order lot state taking into account the state of the work orders ... | Implement the Python class `MrpWorkorderLot` described below.
Class description:
Implement the MrpWorkorderLot class.
Method signatures and docstrings:
- def _get_lot_state(self, cr, uid, ids, field_name, arg, context=None): This method update the work order lot state taking into account the state of the work orders ... | 9c588e45011a87ec8d9af73535c4c56485be92f7 | <|skeleton|>
class MrpWorkorderLot:
def _get_lot_state(self, cr, uid, ids, field_name, arg, context=None):
"""This method update the work order lot state taking into account the state of the work orders associated. This is the logic: - work orders 'done' -> work order lot change to 'done' (finished). - one... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MrpWorkorderLot:
def _get_lot_state(self, cr, uid, ids, field_name, arg, context=None):
"""This method update the work order lot state taking into account the state of the work orders associated. This is the logic: - work orders 'done' -> work order lot change to 'done' (finished). - one work order in... | the_stack_v2_python_sparse | addons-vauxoo/mrp_workorder_lot/model/mrp_workorder_lot.py | OpenBusinessSolutions/odoo-fondeur-server | train | 1 | |
4567bb76acf32b3c651b8d31827d1d6f0ad3d3ab | [
"serializer = serializers.CheckProviderSerializer(data=request.data)\nserializer.is_valid(raise_exception=True)\nsecured = serializer.data['secured']\naddress = serializer.data['address']\nport = serializer.data['port']\ntry:\n if secured:\n imaplib.IMAP4_SSL(address, port)\n else:\n imaplib.IMA... | <|body_start_0|>
serializer = serializers.CheckProviderSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
secured = serializer.data['secured']
address = serializer.data['address']
port = serializer.data['port']
try:
if secured:
... | ViewSet class for EmailProvider. | EmailProviderViewSet | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailProviderViewSet:
"""ViewSet class for EmailProvider."""
def check_connection(self, request, **kwargs):
"""check that provided information allow connection to imap server."""
<|body_0|>
def check_associated_domain(self, request, **kwargs):
"""check that the a... | stack_v2_sparse_classes_75kplus_train_073950 | 2,688 | permissive | [
{
"docstring": "check that provided information allow connection to imap server.",
"name": "check_connection",
"signature": "def check_connection(self, request, **kwargs)"
},
{
"docstring": "check that the associated domain is either the same as the provider, or if a local domain already exists.... | 2 | stack_v2_sparse_classes_30k_train_020885 | Implement the Python class `EmailProviderViewSet` described below.
Class description:
ViewSet class for EmailProvider.
Method signatures and docstrings:
- def check_connection(self, request, **kwargs): check that provided information allow connection to imap server.
- def check_associated_domain(self, request, **kwar... | Implement the Python class `EmailProviderViewSet` described below.
Class description:
ViewSet class for EmailProvider.
Method signatures and docstrings:
- def check_connection(self, request, **kwargs): check that provided information allow connection to imap server.
- def check_associated_domain(self, request, **kwar... | df699aab0799ec1725b6b89be38e56285821c889 | <|skeleton|>
class EmailProviderViewSet:
"""ViewSet class for EmailProvider."""
def check_connection(self, request, **kwargs):
"""check that provided information allow connection to imap server."""
<|body_0|>
def check_associated_domain(self, request, **kwargs):
"""check that the a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailProviderViewSet:
"""ViewSet class for EmailProvider."""
def check_connection(self, request, **kwargs):
"""check that provided information allow connection to imap server."""
serializer = serializers.CheckProviderSerializer(data=request.data)
serializer.is_valid(raise_exceptio... | the_stack_v2_python_sparse | modoboa/imap_migration/api/v2/viewsets.py | modoboa/modoboa | train | 2,201 |
2f8b3c285eb27e30cdbaf9f62d22c873af84a012 | [
"if hyperparameter_config is None:\n hyperparameter_config = configs.encoder_decoder()\nsuper().__init__(name, parent=None, hyperparameter_config=hyperparameter_config, spatial_scale=spatial_scale)\nself.setup_children()\npass",
"with tf.variable_scope(self.name.replace(' ', '_')):\n for blockset in self.ch... | <|body_start_0|>
if hyperparameter_config is None:
hyperparameter_config = configs.encoder_decoder()
super().__init__(name, parent=None, hyperparameter_config=hyperparameter_config, spatial_scale=spatial_scale)
self.setup_children()
pass
<|end_body_0|>
<|body_start_1|>
... | Controls the creation of an encoder-decoder network (u-net). TODO Attributes: | EncoderDecoderGene | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderDecoderGene:
"""Controls the creation of an encoder-decoder network (u-net). TODO Attributes:"""
def __init__(self, name: str, hyperparameter_config: Optional[mt.HyperparameterConfig]=None, spatial_scale: int=0):
"""Constructor. Args: name (str): This gene's name. hyperparamet... | stack_v2_sparse_classes_75kplus_train_073951 | 3,787 | no_license | [
{
"docstring": "Constructor. Args: name (str): This gene's name. hyperparameter_config (Optional[mt.HyperparameterConfig]): The HyperparameterConfig governing this Gene's hyperparameters. If none is supplied, use genenet.hyperparameter_config.encoder_decoder(). spatial_scale (int): The spatial scale of the data... | 4 | stack_v2_sparse_classes_30k_train_024881 | Implement the Python class `EncoderDecoderGene` described below.
Class description:
Controls the creation of an encoder-decoder network (u-net). TODO Attributes:
Method signatures and docstrings:
- def __init__(self, name: str, hyperparameter_config: Optional[mt.HyperparameterConfig]=None, spatial_scale: int=0): Cons... | Implement the Python class `EncoderDecoderGene` described below.
Class description:
Controls the creation of an encoder-decoder network (u-net). TODO Attributes:
Method signatures and docstrings:
- def __init__(self, name: str, hyperparameter_config: Optional[mt.HyperparameterConfig]=None, spatial_scale: int=0): Cons... | 6b78dc5e1e793a206ae3f4860d3a9ac887e663e5 | <|skeleton|>
class EncoderDecoderGene:
"""Controls the creation of an encoder-decoder network (u-net). TODO Attributes:"""
def __init__(self, name: str, hyperparameter_config: Optional[mt.HyperparameterConfig]=None, spatial_scale: int=0):
"""Constructor. Args: name (str): This gene's name. hyperparamet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncoderDecoderGene:
"""Controls the creation of an encoder-decoder network (u-net). TODO Attributes:"""
def __init__(self, name: str, hyperparameter_config: Optional[mt.HyperparameterConfig]=None, spatial_scale: int=0):
"""Constructor. Args: name (str): This gene's name. hyperparameter_config (Op... | the_stack_v2_python_sparse | example3/src/_private/genenet/genes/EncoderDecoderGene.py | leapmanlab/examples | train | 1 |
6f57edb78cd065201968fd77094b217a2098e073 | [
"length = len(s)\nif length == 0:\n return 0\nwinner, i, j = (0, 0, 0)\ndictA = {}\nwhile (i < length) & (j < length):\n if s[j] not in dictA:\n dictA[s[j]] = j\n j += 1\n winner = max(winner, j - i)\n else:\n i = max(i, dictA[s[j]] + 1)\n dictA[s[j]] = j\n j += 1\... | <|body_start_0|>
length = len(s)
if length == 0:
return 0
winner, i, j = (0, 0, 0)
dictA = {}
while (i < length) & (j < length):
if s[j] not in dictA:
dictA[s[j]] = j
j += 1
winner = max(winner, j - i)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring_best(self, s):
""":type s: str :rtype: int"""
<|body_1|>
def lengthOfLongestSubstring_sliding_opt(self, s):
""":type s: str :r... | stack_v2_sparse_classes_75kplus_train_073952 | 4,334 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring_best",
"signature": "def lengthOfLongestSubstring_best(self, s)"
},
{
... | 6 | stack_v2_sparse_classes_30k_train_040988 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring_best(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring_sliding_opt(... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring_best(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring_sliding_opt(... | f0d9070fa292ca36971a465a805faddb12025482 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring_best(self, s):
""":type s: str :rtype: int"""
<|body_1|>
def lengthOfLongestSubstring_sliding_opt(self, s):
""":type s: str :r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
length = len(s)
if length == 0:
return 0
winner, i, j = (0, 0, 0)
dictA = {}
while (i < length) & (j < length):
if s[j] not in dictA:
dictA[s[... | the_stack_v2_python_sparse | 3.lengthOfLongestSubstring.py | JerryRoc/leetcode | 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_75kplus_train_073953 | 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_042917 | 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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | 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 |
3059b31dd974dc14359e9269174e24bb30a080fd | [
"region = context.region\nrv3d = context.region_data\nco2d = (event.mouse_region_x, event.mouse_region_y)\nview_vector_mouse = region_2d_to_vector_3d(region, rv3d, co2d)\nray_origin_mouse = region_2d_to_origin_3d(region, rv3d, co2d)\npt = intersect_line_plane(ray_origin_mouse, ray_origin_mouse + view_vector_mouse, ... | <|body_start_0|>
region = context.region
rv3d = context.region_data
co2d = (event.mouse_region_x, event.mouse_region_y)
view_vector_mouse = region_2d_to_vector_3d(region, rv3d, co2d)
ray_origin_mouse = region_2d_to_origin_3d(region, rv3d, co2d)
pt = intersect_line_plane(r... | Draw tools | ArchipackDrawTool | [
"Unlicense",
"GPL-3.0-only",
"Font-exception-2.0",
"GPL-3.0-or-later",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-public-domain-disclaimer",
"Bitstream-Vera",
"LicenseRef-scancode-blender-2010",
"LGPL-2.1-or-later",
... | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArchipackDrawTool:
"""Draw tools"""
def mouse_to_plane(self, context, event, origin=Vector((0, 0, 0)), normal=Vector((0, 0, 1))):
"""convert mouse pos to 3d point over plane defined by origin and normal"""
<|body_0|>
def mouse_to_scene_raycast(self, context, event):
... | stack_v2_sparse_classes_75kplus_train_073954 | 9,808 | permissive | [
{
"docstring": "convert mouse pos to 3d point over plane defined by origin and normal",
"name": "mouse_to_plane",
"signature": "def mouse_to_plane(self, context, event, origin=Vector((0, 0, 0)), normal=Vector((0, 0, 1)))"
},
{
"docstring": "convert mouse pos to 3d point over plane defined by ori... | 3 | stack_v2_sparse_classes_30k_train_020932 | Implement the Python class `ArchipackDrawTool` described below.
Class description:
Draw tools
Method signatures and docstrings:
- def mouse_to_plane(self, context, event, origin=Vector((0, 0, 0)), normal=Vector((0, 0, 1))): convert mouse pos to 3d point over plane defined by origin and normal
- def mouse_to_scene_ray... | Implement the Python class `ArchipackDrawTool` described below.
Class description:
Draw tools
Method signatures and docstrings:
- def mouse_to_plane(self, context, event, origin=Vector((0, 0, 0)), normal=Vector((0, 0, 1))): convert mouse pos to 3d point over plane defined by origin and normal
- def mouse_to_scene_ray... | f7d23a489c2b4bcc3c1961ac955926484ff8b8d9 | <|skeleton|>
class ArchipackDrawTool:
"""Draw tools"""
def mouse_to_plane(self, context, event, origin=Vector((0, 0, 0)), normal=Vector((0, 0, 1))):
"""convert mouse pos to 3d point over plane defined by origin and normal"""
<|body_0|>
def mouse_to_scene_raycast(self, context, event):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArchipackDrawTool:
"""Draw tools"""
def mouse_to_plane(self, context, event, origin=Vector((0, 0, 0)), normal=Vector((0, 0, 1))):
"""convert mouse pos to 3d point over plane defined by origin and normal"""
region = context.region
rv3d = context.region_data
co2d = (event.mo... | the_stack_v2_python_sparse | engine/2.80/scripts/addons/archipack/archipack_object.py | byteinc/Phasor | train | 3 |
343c759d70f1c9c727773ebb2c71416c03e7b198 | [
"p_col = field.get_col(self.lhs.alias)\nif value is None:\n lookup_type, value = ('isnull', True)\nelse:\n lookup_type, value = ('exact', value)\nlookup = field.get_lookup(lookup_type)(p_col, value)\nreturn lookup.as_sql(compiler, connection)",
"if self.rhs_is_direct_value():\n sql_list, params_list = ([... | <|body_start_0|>
p_col = field.get_col(self.lhs.alias)
if value is None:
lookup_type, value = ('isnull', True)
else:
lookup_type, value = ('exact', value)
lookup = field.get_lookup(lookup_type)(p_col, value)
return lookup.as_sql(compiler, connection)
<|end... | Exact match Lookup for VirtualCompField. Tries to break the provided lookup value into its constituent parts and create a multi-part, ANDed together WHERE statement for a nice efficient lookup. | CompositeExact | [
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CompositeExact:
"""Exact match Lookup for VirtualCompField. Tries to break the provided lookup value into its constituent parts and create a multi-part, ANDed together WHERE statement for a nice efficient lookup."""
def _partfield_as_sql(self, field, value, compiler, connection):
"""... | stack_v2_sparse_classes_75kplus_train_073955 | 17,987 | permissive | [
{
"docstring": "Return exact-match lookup `as_sql` result for the given field and value. Lookup is converted to `isnull` if value is None.",
"name": "_partfield_as_sql",
"signature": "def _partfield_as_sql(self, field, value, compiler, connection)"
},
{
"docstring": "Return an SQL tuple: sql, pa... | 2 | stack_v2_sparse_classes_30k_train_032541 | Implement the Python class `CompositeExact` described below.
Class description:
Exact match Lookup for VirtualCompField. Tries to break the provided lookup value into its constituent parts and create a multi-part, ANDed together WHERE statement for a nice efficient lookup.
Method signatures and docstrings:
- def _par... | Implement the Python class `CompositeExact` described below.
Class description:
Exact match Lookup for VirtualCompField. Tries to break the provided lookup value into its constituent parts and create a multi-part, ANDed together WHERE statement for a nice efficient lookup.
Method signatures and docstrings:
- def _par... | 9189a6cc64305a6ead4b95ca0b56d7b7ae6c87d5 | <|skeleton|>
class CompositeExact:
"""Exact match Lookup for VirtualCompField. Tries to break the provided lookup value into its constituent parts and create a multi-part, ANDed together WHERE statement for a nice efficient lookup."""
def _partfield_as_sql(self, field, value, compiler, connection):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CompositeExact:
"""Exact match Lookup for VirtualCompField. Tries to break the provided lookup value into its constituent parts and create a multi-part, ANDed together WHERE statement for a nice efficient lookup."""
def _partfield_as_sql(self, field, value, compiler, connection):
"""Return exact-... | the_stack_v2_python_sparse | django/sierra/base/fields.py | unt-libraries/catalog-api | train | 20 |
fd47fbcb6f96bb2e6802a7c970908086b90a8a4e | [
"dt_str = request.GET.get(get_dict_key)\ndt_parsed = None\nif dt_str:\n dt_parsed = parse_to_dt(dt_str, tzinfo_=get_current_timezone())\n if not dt_parsed:\n msg_parse_failed = msg_parse_failed or _('Failed to parse the timestamp. ({})')\n messages.warning(request, msg_parse_failed.format(dt_str... | <|body_start_0|>
dt_str = request.GET.get(get_dict_key)
dt_parsed = None
if dt_str:
dt_parsed = parse_to_dt(dt_str, tzinfo_=get_current_timezone())
if not dt_parsed:
msg_parse_failed = msg_parse_failed or _('Failed to parse the timestamp. ({})')
... | View to see the channel message stats. | ChannelMessageStatsView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChannelMessageStatsView:
"""View to see the channel message stats."""
def get_timestamp(request, get_dict_key, *, msg_parse_failed=None, msg_out_of_range=None) -> datetime:
"""Get the timestamp string in URL GET params of key ``get_dict_key`` and parse it to :class:`datetime`. :param... | stack_v2_sparse_classes_75kplus_train_073956 | 9,531 | permissive | [
{
"docstring": "Get the timestamp string in URL GET params of key ``get_dict_key`` and parse it to :class:`datetime`. :param request: web request to get URL param :param get_dict_key: key of the param :param msg_parse_failed: message to be displayed if failed to parse :param msg_out_of_range: message to be disp... | 2 | stack_v2_sparse_classes_30k_val_000041 | Implement the Python class `ChannelMessageStatsView` described below.
Class description:
View to see the channel message stats.
Method signatures and docstrings:
- def get_timestamp(request, get_dict_key, *, msg_parse_failed=None, msg_out_of_range=None) -> datetime: Get the timestamp string in URL GET params of key `... | Implement the Python class `ChannelMessageStatsView` described below.
Class description:
View to see the channel message stats.
Method signatures and docstrings:
- def get_timestamp(request, get_dict_key, *, msg_parse_failed=None, msg_out_of_range=None) -> datetime: Get the timestamp string in URL GET params of key `... | c7da1e91783dce3a2b71b955b3a22b68db9056cf | <|skeleton|>
class ChannelMessageStatsView:
"""View to see the channel message stats."""
def get_timestamp(request, get_dict_key, *, msg_parse_failed=None, msg_out_of_range=None) -> datetime:
"""Get the timestamp string in URL GET params of key ``get_dict_key`` and parse it to :class:`datetime`. :param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChannelMessageStatsView:
"""View to see the channel message stats."""
def get_timestamp(request, get_dict_key, *, msg_parse_failed=None, msg_out_of_range=None) -> datetime:
"""Get the timestamp string in URL GET params of key ``get_dict_key`` and parse it to :class:`datetime`. :param request: web... | the_stack_v2_python_sparse | JellyBot/views/info/msgstats.py | RxJellyBot/Jelly-Bot | train | 5 |
1f2f12a6c4af25245f5ec8e4a99d63ce23e75a40 | [
"try:\n super().__post_init__()\nexcept AttributeError:\n pass",
"try:\n return item in self.contents\nexcept TypeError:\n return item == self.contents",
"try:\n return object.__getattribute__(object.__getattribute__(self, 'contents'), attribute)\nexcept AttributeError:\n raise AttributeError(... | <|body_start_0|>
try:
super().__post_init__()
except AttributeError:
pass
<|end_body_0|>
<|body_start_1|>
try:
return item in self.contents
except TypeError:
return item == self.contents
<|end_body_1|>
<|body_start_2|>
try:
... | Basic wrapper class. A Proxy differs than an ordinary container in 2 significant ways: 1) When an 'in' call is made, the '__contains__' method first looks to see if the item is stored in 'contents' (if 'contents' is a collection). If that check gets a TypeError, the method then checks if the item is equivalent to 'cont... | Proxy | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Proxy:
"""Basic wrapper class. A Proxy differs than an ordinary container in 2 significant ways: 1) When an 'in' call is made, the '__contains__' method first looks to see if the item is stored in 'contents' (if 'contents' is a collection). If that check gets a TypeError, the method then checks i... | stack_v2_sparse_classes_75kplus_train_073957 | 36,318 | permissive | [
{
"docstring": "Initializes class instance. Although this method ordinarily does nothing, it makes the order of the inherited classes less important with multiple inheritance, such as when adding amicus quirks.",
"name": "__post_init__",
"signature": "def __post_init__(self) -> None"
},
{
"docst... | 5 | stack_v2_sparse_classes_30k_train_050351 | Implement the Python class `Proxy` described below.
Class description:
Basic wrapper class. A Proxy differs than an ordinary container in 2 significant ways: 1) When an 'in' call is made, the '__contains__' method first looks to see if the item is stored in 'contents' (if 'contents' is a collection). If that check get... | Implement the Python class `Proxy` described below.
Class description:
Basic wrapper class. A Proxy differs than an ordinary container in 2 significant ways: 1) When an 'in' call is made, the '__contains__' method first looks to see if the item is stored in 'contents' (if 'contents' is a collection). If that check get... | 0de6d90c34b8402f4464dcba784349514b3b8e42 | <|skeleton|>
class Proxy:
"""Basic wrapper class. A Proxy differs than an ordinary container in 2 significant ways: 1) When an 'in' call is made, the '__contains__' method first looks to see if the item is stored in 'contents' (if 'contents' is a collection). If that check gets a TypeError, the method then checks i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Proxy:
"""Basic wrapper class. A Proxy differs than an ordinary container in 2 significant ways: 1) When an 'in' call is made, the '__contains__' method first looks to see if the item is stored in 'contents' (if 'contents' is a collection). If that check gets a TypeError, the method then checks if the item is... | the_stack_v2_python_sparse | amicus/core/base.py | WithPrecedent/amicus | train | 1 |
812697aa157f025b26d1fce46c5c905e33c886e3 | [
"super(Data, self).__init__(xmi_dir, tokenizer, max_input_length, max_output_length, n_files)\nself.partition = partition\nself.extract_events_and_times()",
"caption = 'event/time %s data' % self.partition\nfor xmi_path in tqdm(self.xmi_paths, desc=caption):\n xmi_file_name = xmi_path.split('/')[-1]\n id = ... | <|body_start_0|>
super(Data, self).__init__(xmi_dir, tokenizer, max_input_length, max_output_length, n_files)
self.partition = partition
self.extract_events_and_times()
<|end_body_0|>
<|body_start_1|>
caption = 'event/time %s data' % self.partition
for xmi_path in tqdm(self.xmi_... | Thyme data | Data | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Data:
"""Thyme data"""
def __init__(self, xmi_dir, tokenizer, max_input_length, max_output_length, partition, n_files='all'):
"""Thyme data"""
<|body_0|>
def extract_events_and_times(self):
"""Extract events and times"""
<|body_1|>
<|end_skeleton|>
<|bo... | stack_v2_sparse_classes_75kplus_train_073958 | 3,084 | no_license | [
{
"docstring": "Thyme data",
"name": "__init__",
"signature": "def __init__(self, xmi_dir, tokenizer, max_input_length, max_output_length, partition, n_files='all')"
},
{
"docstring": "Extract events and times",
"name": "extract_events_and_times",
"signature": "def extract_events_and_tim... | 2 | stack_v2_sparse_classes_30k_train_038038 | Implement the Python class `Data` described below.
Class description:
Thyme data
Method signatures and docstrings:
- def __init__(self, xmi_dir, tokenizer, max_input_length, max_output_length, partition, n_files='all'): Thyme data
- def extract_events_and_times(self): Extract events and times | Implement the Python class `Data` described below.
Class description:
Thyme data
Method signatures and docstrings:
- def __init__(self, xmi_dir, tokenizer, max_input_length, max_output_length, partition, n_files='all'): Thyme data
- def extract_events_and_times(self): Extract events and times
<|skeleton|>
class Data... | 7d44509621dcbd394d503301859002f8da132b5b | <|skeleton|>
class Data:
"""Thyme data"""
def __init__(self, xmi_dir, tokenizer, max_input_length, max_output_length, partition, n_files='all'):
"""Thyme data"""
<|body_0|>
def extract_events_and_times(self):
"""Extract events and times"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Data:
"""Thyme data"""
def __init__(self, xmi_dir, tokenizer, max_input_length, max_output_length, partition, n_files='all'):
"""Thyme data"""
super(Data, self).__init__(xmi_dir, tokenizer, max_input_length, max_output_length, n_files)
self.partition = partition
self.extra... | the_stack_v2_python_sparse | Archive/T5/dataset_events.py | dmitriydligach/Thyme | train | 0 |
90f7dfde5c13892a866ce7ee74860b3094d7a1a3 | [
"self.signed_data = signed_data\nself.audit_log_reference = audit_log_reference\nself.signing_format = signing_format\nself.error = error\nself.sign_certificate_base_64_string = sign_certificate_base_64_string\nself.transaction_id = transaction_id\nself.additional_properties = additional_properties",
"if dictiona... | <|body_start_0|>
self.signed_data = signed_data
self.audit_log_reference = audit_log_reference
self.signing_format = signing_format
self.error = error
self.sign_certificate_base_64_string = sign_certificate_base_64_string
self.transaction_id = transaction_id
self.... | Implementation of the 'SignResponse' model. TODO: type model description here. Attributes: signed_data (string): base 64 encoded signed data audit_log_reference (uuid|string): Reference Id to audit log signing_format (SigningFormat): Signing format error (MerchantError): Error message sign_certificate_base_64_string (s... | SignResponse | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignResponse:
"""Implementation of the 'SignResponse' model. TODO: type model description here. Attributes: signed_data (string): base 64 encoded signed data audit_log_reference (uuid|string): Reference Id to audit log signing_format (SigningFormat): Signing format error (MerchantError): Error me... | stack_v2_sparse_classes_75kplus_train_073959 | 3,537 | permissive | [
{
"docstring": "Constructor for the SignResponse class",
"name": "__init__",
"signature": "def __init__(self, signed_data=None, audit_log_reference=None, signing_format=None, error=None, sign_certificate_base_64_string=None, transaction_id=None, additional_properties={})"
},
{
"docstring": "Crea... | 2 | stack_v2_sparse_classes_30k_train_006632 | Implement the Python class `SignResponse` described below.
Class description:
Implementation of the 'SignResponse' model. TODO: type model description here. Attributes: signed_data (string): base 64 encoded signed data audit_log_reference (uuid|string): Reference Id to audit log signing_format (SigningFormat): Signing... | Implement the Python class `SignResponse` described below.
Class description:
Implementation of the 'SignResponse' model. TODO: type model description here. Attributes: signed_data (string): base 64 encoded signed data audit_log_reference (uuid|string): Reference Id to audit log signing_format (SigningFormat): Signing... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class SignResponse:
"""Implementation of the 'SignResponse' model. TODO: type model description here. Attributes: signed_data (string): base 64 encoded signed data audit_log_reference (uuid|string): Reference Id to audit log signing_format (SigningFormat): Signing format error (MerchantError): Error me... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SignResponse:
"""Implementation of the 'SignResponse' model. TODO: type model description here. Attributes: signed_data (string): base 64 encoded signed data audit_log_reference (uuid|string): Reference Id to audit log signing_format (SigningFormat): Signing format error (MerchantError): Error message sign_ce... | the_stack_v2_python_sparse | idfy_rest_client/models/sign_response.py | dealflowteam/Idfy | train | 0 |
74f1111f9ecdaf80c30922405f488a499f7bda05 | [
"super(Net, self).__init__()\nself.input_dim = input_dim\nself.hidden_size = hidden_size\nself.output_dim = output_dim\nself.num_layers = num_layers\nself.layer_type = layer_type\nself.output_activation = output_activation\nself.internal_batch_norm = internal_batch_norm\nself.skip_connection = skip_connection\nself... | <|body_start_0|>
super(Net, self).__init__()
self.input_dim = input_dim
self.hidden_size = hidden_size
self.output_dim = output_dim
self.num_layers = num_layers
self.layer_type = layer_type
self.output_activation = output_activation
self.internal_batch_nor... | RealNVP neural network definitions. | Net | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Net:
"""RealNVP neural network definitions."""
def __init__(self, input_dim: int, hidden_size: int, output_dim: int=None, num_layers: int=3, layer_type: Literal['s', 't']='s', output_activation: Literal['tanh', 'lrelu']='tanh', internal_batch_norm: bool=False, skip_connection: bool=False) ->... | stack_v2_sparse_classes_75kplus_train_073960 | 8,028 | permissive | [
{
"docstring": "RealNVP neural network definition. :param input_dim: Data input dimension. :param hidden_size: Neural network hidden size. :param output_dim: Output dimension. :param num_layers: Number of linear layers. :param layer_type: \"s\" vs \"t\" type layer. :param output_activation: \"s\" network output... | 2 | stack_v2_sparse_classes_30k_train_012689 | Implement the Python class `Net` described below.
Class description:
RealNVP neural network definitions.
Method signatures and docstrings:
- def __init__(self, input_dim: int, hidden_size: int, output_dim: int=None, num_layers: int=3, layer_type: Literal['s', 't']='s', output_activation: Literal['tanh', 'lrelu']='tan... | Implement the Python class `Net` described below.
Class description:
RealNVP neural network definitions.
Method signatures and docstrings:
- def __init__(self, input_dim: int, hidden_size: int, output_dim: int=None, num_layers: int=3, layer_type: Literal['s', 't']='s', output_activation: Literal['tanh', 'lrelu']='tan... | f470849d5b7b90dc5a65bab8a536de1d57c1021a | <|skeleton|>
class Net:
"""RealNVP neural network definitions."""
def __init__(self, input_dim: int, hidden_size: int, output_dim: int=None, num_layers: int=3, layer_type: Literal['s', 't']='s', output_activation: Literal['tanh', 'lrelu']='tanh', internal_batch_norm: bool=False, skip_connection: bool=False) ->... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Net:
"""RealNVP neural network definitions."""
def __init__(self, input_dim: int, hidden_size: int, output_dim: int=None, num_layers: int=3, layer_type: Literal['s', 't']='s', output_activation: Literal['tanh', 'lrelu']='tanh', internal_batch_norm: bool=False, skip_connection: bool=False) -> None:
... | the_stack_v2_python_sparse | conformation/model.py | ks8/conformation | train | 1 |
fb4049d8db8793c5d605768946086fd310732a59 | [
"adjacencies_list = []\nexpectedadj_list = [{1: (1, 0), 2: (0, 1), 5: (1, 1)}, {1: [(1, 0), (2, 0)], 2: [(0, 1), (0, 2)], 5: [(1, 1), (2, 2)]}, {5: [(1, 1), (2, 2)]}, {1: [(1, 0), (2, 0)], 2: [(0, 1), (0, 2)]}, {5: (1, 2), 6: (2, 1)}]\npiece_letters = ['K', 'Q', 'B', 'R', 'N']\nmatrix = [[0] * 3 for _ in itertools.... | <|body_start_0|>
adjacencies_list = []
expectedadj_list = [{1: (1, 0), 2: (0, 1), 5: (1, 1)}, {1: [(1, 0), (2, 0)], 2: [(0, 1), (0, 2)], 5: [(1, 1), (2, 2)]}, {5: [(1, 1), (2, 2)]}, {1: [(1, 0), (2, 0)], 2: [(0, 1), (0, 2)]}, {5: (1, 2), 6: (2, 1)}]
piece_letters = ['K', 'Q', 'B', 'R', 'N']
... | Class of chess main application - pieces module testing | PiecesApplicationTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PiecesApplicationTest:
"""Class of chess main application - pieces module testing"""
def test_list_adjacencies(self):
"""Tests adjacencies listing"""
<|body_0|>
def test_adjacencies(self):
"""Tests adjacencies checking"""
<|body_1|>
def test_check_ad... | stack_v2_sparse_classes_75kplus_train_073961 | 6,418 | permissive | [
{
"docstring": "Tests adjacencies listing",
"name": "test_list_adjacencies",
"signature": "def test_list_adjacencies(self)"
},
{
"docstring": "Tests adjacencies checking",
"name": "test_adjacencies",
"signature": "def test_adjacencies(self)"
},
{
"docstring": "Tests check_adj bet... | 3 | stack_v2_sparse_classes_30k_train_018465 | Implement the Python class `PiecesApplicationTest` described below.
Class description:
Class of chess main application - pieces module testing
Method signatures and docstrings:
- def test_list_adjacencies(self): Tests adjacencies listing
- def test_adjacencies(self): Tests adjacencies checking
- def test_check_adj(se... | Implement the Python class `PiecesApplicationTest` described below.
Class description:
Class of chess main application - pieces module testing
Method signatures and docstrings:
- def test_list_adjacencies(self): Tests adjacencies listing
- def test_adjacencies(self): Tests adjacencies checking
- def test_check_adj(se... | 7470479e352bf6fa28215e745af8c42dc20d7a1f | <|skeleton|>
class PiecesApplicationTest:
"""Class of chess main application - pieces module testing"""
def test_list_adjacencies(self):
"""Tests adjacencies listing"""
<|body_0|>
def test_adjacencies(self):
"""Tests adjacencies checking"""
<|body_1|>
def test_check_ad... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PiecesApplicationTest:
"""Class of chess main application - pieces module testing"""
def test_list_adjacencies(self):
"""Tests adjacencies listing"""
adjacencies_list = []
expectedadj_list = [{1: (1, 0), 2: (0, 1), 5: (1, 1)}, {1: [(1, 0), (2, 0)], 2: [(0, 1), (0, 2)], 5: [(1, 1),... | the_stack_v2_python_sparse | challenges/chess/tests.py | williamlagos/python-coding | train | 0 |
4f0181ec3b5332c3b2f8a7e49a65d1758685124b | [
"user_course_outline = user_course_outline_details.outline\nschedule = user_course_outline_details.schedule\nexam_information = user_course_outline_details.special_exam_attempts\nreturn {'course_key': str(user_course_outline.course_key), 'course_start': schedule.course_start, 'course_end': schedule.course_end, 'tit... | <|body_start_0|>
user_course_outline = user_course_outline_details.outline
schedule = user_course_outline_details.schedule
exam_information = user_course_outline_details.special_exam_attempts
return {'course_key': str(user_course_outline.course_key), 'course_start': schedule.course_start... | Read-only serializer for CourseOutlineData for this endpoint. This serializer was purposefully declared inline with the CourseOutlineView to discourage reuse/magic. Our goal is to make it extremely obvious how things are being serialized, and not have surprise regressions because a shared serializer in another module w... | UserCourseOutlineDataSerializer | [
"MIT",
"AGPL-3.0-only",
"AGPL-3.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserCourseOutlineDataSerializer:
"""Read-only serializer for CourseOutlineData for this endpoint. This serializer was purposefully declared inline with the CourseOutlineView to discourage reuse/magic. Our goal is to make it extremely obvious how things are being serialized, and not have surprise ... | stack_v2_sparse_classes_75kplus_train_073962 | 11,389 | permissive | [
{
"docstring": "Convert to something DRF knows how to serialize (so no custom types) This is intentionally dumb and lists out every field to make API additions/changes more obvious.",
"name": "to_representation",
"signature": "def to_representation(self, user_course_outline_details)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_train_032495 | Implement the Python class `UserCourseOutlineDataSerializer` described below.
Class description:
Read-only serializer for CourseOutlineData for this endpoint. This serializer was purposefully declared inline with the CourseOutlineView to discourage reuse/magic. Our goal is to make it extremely obvious how things are b... | Implement the Python class `UserCourseOutlineDataSerializer` described below.
Class description:
Read-only serializer for CourseOutlineData for this endpoint. This serializer was purposefully declared inline with the CourseOutlineView to discourage reuse/magic. Our goal is to make it extremely obvious how things are b... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class UserCourseOutlineDataSerializer:
"""Read-only serializer for CourseOutlineData for this endpoint. This serializer was purposefully declared inline with the CourseOutlineView to discourage reuse/magic. Our goal is to make it extremely obvious how things are being serialized, and not have surprise ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserCourseOutlineDataSerializer:
"""Read-only serializer for CourseOutlineData for this endpoint. This serializer was purposefully declared inline with the CourseOutlineView to discourage reuse/magic. Our goal is to make it extremely obvious how things are being serialized, and not have surprise regressions b... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/content/learning_sequences/views.py | luque/better-ways-of-thinking-about-software | train | 3 |
5143240a3b20845e1c9e9dbf67558ed5152dbdda | [
"if not prices:\n return 0\nl = len(prices)\nif k > l / 2:\n return self.maxProfitGreedy(prices)\ndp = [[[0, 0] for _ in range(k + 1)] for _ in range(2)]\ndp[0] = [[0, -prices[0]] for _ in range(k + 1)]\nfor i in range(1, l):\n for j in range(k):\n x, x0 = (i % 2, (i - 1) % 2)\n dp[x][j][0] =... | <|body_start_0|>
if not prices:
return 0
l = len(prices)
if k > l / 2:
return self.maxProfitGreedy(prices)
dp = [[[0, 0] for _ in range(k + 1)] for _ in range(2)]
dp[0] = [[0, -prices[0]] for _ in range(k + 1)]
for i in range(1, l):
for... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, k, prices):
""":type k: int :type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfitGreedy(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not prices:
... | stack_v2_sparse_classes_75kplus_train_073963 | 1,547 | no_license | [
{
"docstring": ":type k: int :type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, k, prices)"
},
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfitGreedy",
"signature": "def maxProfitGreedy(self, prices)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001123 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, k, prices): :type k: int :type prices: List[int] :rtype: int
- def maxProfitGreedy(self, prices): :type prices: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, k, prices): :type k: int :type prices: List[int] :rtype: int
- def maxProfitGreedy(self, prices): :type prices: List[int] :rtype: int
<|skeleton|>
class Solu... | fabe435f366477ec3526add84accec0b4ac38919 | <|skeleton|>
class Solution:
def maxProfit(self, k, prices):
""":type k: int :type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfitGreedy(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProfit(self, k, prices):
""":type k: int :type prices: List[int] :rtype: int"""
if not prices:
return 0
l = len(prices)
if k > l / 2:
return self.maxProfitGreedy(prices)
dp = [[[0, 0] for _ in range(k + 1)] for _ in range(2)]
... | the_stack_v2_python_sparse | algorithm/leetcode/188_best-time-to-buy-and-sell-stock-iv.py | icejoywoo/toys | train | 1 | |
3f67d9d72ce564d2b1e35bbbe28fdb22ef5b5b69 | [
"f = False\nif x < 0:\n f = True\nx2 = list(reversed(str(abs(x))))\nif f:\n x2.insert(0, '-')\nlast = int(''.join(x2))\nif abs(last) > 2147483647:\n return 0\nelse:\n return last",
"sum = 0\nif x < 0:\n y = -x\nelse:\n y = x\nwhile y > 0:\n sum = sum * 10 + y % 10\n y = y // 10\nprint(sum)... | <|body_start_0|>
f = False
if x < 0:
f = True
x2 = list(reversed(str(abs(x))))
if f:
x2.insert(0, '-')
last = int(''.join(x2))
if abs(last) > 2147483647:
return 0
else:
return last
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverse(self, x):
""":type x: int :rtype: int"""
<|body_0|>
def reverse2(self, x):
""":type x: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
f = False
if x < 0:
f = True
x2 = list(reversed(... | stack_v2_sparse_classes_75kplus_train_073964 | 1,545 | no_license | [
{
"docstring": ":type x: int :rtype: int",
"name": "reverse",
"signature": "def reverse(self, x)"
},
{
"docstring": ":type x: int :rtype: int",
"name": "reverse2",
"signature": "def reverse2(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035058 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverse(self, x): :type x: int :rtype: int
- def reverse2(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 reverse(self, x): :type x: int :rtype: int
- def reverse2(self, x): :type x: int :rtype: int
<|skeleton|>
class Solution:
def reverse(self, x):
""":type x: int ... | b0f498ebe84e46b7e17e94759dd462891dcc8f85 | <|skeleton|>
class Solution:
def reverse(self, x):
""":type x: int :rtype: int"""
<|body_0|>
def reverse2(self, x):
""":type x: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverse(self, x):
""":type x: int :rtype: int"""
f = False
if x < 0:
f = True
x2 = list(reversed(str(abs(x))))
if f:
x2.insert(0, '-')
last = int(''.join(x2))
if abs(last) > 2147483647:
return 0
e... | the_stack_v2_python_sparse | 初级算法/string_2.py | wulinlw/leetcode_cn | train | 0 | |
65e82a4377f6d922df70c04dd68d7c68afef2c80 | [
"keyList = list(self.cache_data)[0:]\nif key and item:\n if key in keyList:\n self.cache_data.update({key: item})\n self.__LFUDict.update({key: self.__bit})\n self.__bit += 1\n elif len(self.cache_data) < self.MAX_ITEMS:\n self.__LFUDict.update({key: self.__bit})\n self.__bi... | <|body_start_0|>
keyList = list(self.cache_data)[0:]
if key and item:
if key in keyList:
self.cache_data.update({key: item})
self.__LFUDict.update({key: self.__bit})
self.__bit += 1
elif len(self.cache_data) < self.MAX_ITEMS:
... | LFU Caching algorithm | LFUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LFUCache:
"""LFU Caching algorithm"""
def put(self, key, item):
"""Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key"""
<|body_0|>
def get(self, key):
"""Return... | stack_v2_sparse_classes_75kplus_train_073965 | 2,258 | no_license | [
{
"docstring": "Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key",
"name": "put",
"signature": "def put(self, key, item)"
},
{
"docstring": "Returns the value of self.cache_data of given key P... | 3 | stack_v2_sparse_classes_30k_train_016059 | Implement the Python class `LFUCache` described below.
Class description:
LFU Caching algorithm
Method signatures and docstrings:
- def put(self, key, item): Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key
- def g... | Implement the Python class `LFUCache` described below.
Class description:
LFU Caching algorithm
Method signatures and docstrings:
- def put(self, key, item): Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key
- def g... | 03a8272d98af1975b7c476398a5cd95610ea2c1f | <|skeleton|>
class LFUCache:
"""LFU Caching algorithm"""
def put(self, key, item):
"""Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key"""
<|body_0|>
def get(self, key):
"""Return... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LFUCache:
"""LFU Caching algorithm"""
def put(self, key, item):
"""Assign key: item to self.cache_data If key or item is None do nothing Parameters: key: key for item in self.cache_data dict item: contains value for key"""
keyList = list(self.cache_data)[0:]
if key and item:
... | the_stack_v2_python_sparse | 0x03-caching/100-lfu_cache.py | veeteeran/holbertonschool-web_back_end | train | 0 |
b7f31d10e89e5a784f1c8c85bc9a62104f56adfd | [
"state = [0, float('-inf'), float('-inf')]\nfor num in nums:\n if num % 3 == 0:\n state = [state[0] + num, state[1] + num, state[2] + num]\n if num % 3 == 1:\n a = max(state[2] + num, state[0])\n b = max(state[0] + num, state[1])\n c = max(state[1] + num, state[2])\n state =... | <|body_start_0|>
state = [0, float('-inf'), float('-inf')]
for num in nums:
if num % 3 == 0:
state = [state[0] + num, state[1] + num, state[2] + num]
if num % 3 == 1:
a = max(state[2] + num, state[0])
b = max(state[0] + num, state[1... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSumDivThree(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxSumDivThreeTotalSumSubstraction(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
state = [0, float('... | stack_v2_sparse_classes_75kplus_train_073966 | 2,874 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxSumDivThree",
"signature": "def maxSumDivThree(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxSumDivThreeTotalSumSubstraction",
"signature": "def maxSumDivThreeTotalSumSubstraction(self, nums... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSumDivThree(self, nums): :type nums: List[int] :rtype: int
- def maxSumDivThreeTotalSumSubstraction(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSumDivThree(self, nums): :type nums: List[int] :rtype: int
- def maxSumDivThreeTotalSumSubstraction(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solu... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def maxSumDivThree(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxSumDivThreeTotalSumSubstraction(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxSumDivThree(self, nums):
""":type nums: List[int] :rtype: int"""
state = [0, float('-inf'), float('-inf')]
for num in nums:
if num % 3 == 0:
state = [state[0] + num, state[1] + num, state[2] + num]
if num % 3 == 1:
... | the_stack_v2_python_sparse | G/GreatestSumDivisiblebyThree.py | bssrdf/pyleet | train | 2 | |
0b4aafbd7ba63af57ee1847f3cf8b839c48bc52f | [
"if name == '':\n return self\nelse:\n return ImageResource(name)",
"images = [i for i in image.Image.all() if i.is_authorized(request.context, readonly=True)]\n\ndef decorate(m):\n if 'imageType' not in m and 'type' in m:\n m[u'imageType'] = m['type']\n elif 'imageType' in m:\n m[u'type... | <|body_start_0|>
if name == '':
return self
else:
return ImageResource(name)
<|end_body_0|>
<|body_start_1|>
images = [i for i in image.Image.all() if i.is_authorized(request.context, readonly=True)]
def decorate(m):
if 'imageType' not in m and 'type... | A web resource representing a list of images | ImagesResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImagesResource:
"""A web resource representing a list of images"""
def getChild(self, name, _request):
"""Returns itself or an ImageResource if no name given"""
<|body_0|>
def render_GET(self, request):
"""returns a json listing of all images that a user has perm... | stack_v2_sparse_classes_75kplus_train_073967 | 17,945 | permissive | [
{
"docstring": "Returns itself or an ImageResource if no name given",
"name": "getChild",
"signature": "def getChild(self, name, _request)"
},
{
"docstring": "returns a json listing of all images that a user has permissions to see",
"name": "render_GET",
"signature": "def render_GET(self... | 5 | stack_v2_sparse_classes_30k_train_031685 | Implement the Python class `ImagesResource` described below.
Class description:
A web resource representing a list of images
Method signatures and docstrings:
- def getChild(self, name, _request): Returns itself or an ImageResource if no name given
- def render_GET(self, request): returns a json listing of all images... | Implement the Python class `ImagesResource` described below.
Class description:
A web resource representing a list of images
Method signatures and docstrings:
- def getChild(self, name, _request): Returns itself or an ImageResource if no name given
- def render_GET(self, request): returns a json listing of all images... | 6912b0e1efd6ba3814d3b29beef236bfe4da52ea | <|skeleton|>
class ImagesResource:
"""A web resource representing a list of images"""
def getChild(self, name, _request):
"""Returns itself or an ImageResource if no name given"""
<|body_0|>
def render_GET(self, request):
"""returns a json listing of all images that a user has perm... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImagesResource:
"""A web resource representing a list of images"""
def getChild(self, name, _request):
"""Returns itself or an ImageResource if no name given"""
if name == '':
return self
else:
return ImageResource(name)
def render_GET(self, request):
... | the_stack_v2_python_sparse | nova/objectstore/handler.py | pombredanne/nova | train | 0 |
5e544f198d41eb0e5675a14b3c2775fa53fcacf4 | [
"regex = '^(\\\\d+).*'\npattern = re.compile(regex)\nmatcher = pattern.search(limit_text_of_per_page)\nif matcher:\n return matcher.group(1)\nelse:\n return None",
"regex = '\\\\d+-\\\\d+\\\\s共(\\\\d+)条$'\npattern = re.compile(regex)\nmatcher = pattern.search(total_data_text)\nif matcher:\n return matche... | <|body_start_0|>
regex = '^(\\d+).*'
pattern = re.compile(regex)
matcher = pattern.search(limit_text_of_per_page)
if matcher:
return matcher.group(1)
else:
return None
<|end_body_0|>
<|body_start_1|>
regex = '\\d+-\\d+\\s共(\\d+)条$'
pattern... | 广告位管理页面 | ADPlaceManagePage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ADPlaceManagePage:
"""广告位管理页面"""
def get_limit_number(self, limit_text_of_per_page):
"""获取每页显示条数"""
<|body_0|>
def get_total_datas(self, total_data_text):
"""获取数据总数"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
regex = '^(\\d+).*'
patt... | stack_v2_sparse_classes_75kplus_train_073968 | 12,259 | no_license | [
{
"docstring": "获取每页显示条数",
"name": "get_limit_number",
"signature": "def get_limit_number(self, limit_text_of_per_page)"
},
{
"docstring": "获取数据总数",
"name": "get_total_datas",
"signature": "def get_total_datas(self, total_data_text)"
}
] | 2 | stack_v2_sparse_classes_30k_train_041827 | Implement the Python class `ADPlaceManagePage` described below.
Class description:
广告位管理页面
Method signatures and docstrings:
- def get_limit_number(self, limit_text_of_per_page): 获取每页显示条数
- def get_total_datas(self, total_data_text): 获取数据总数 | Implement the Python class `ADPlaceManagePage` described below.
Class description:
广告位管理页面
Method signatures and docstrings:
- def get_limit_number(self, limit_text_of_per_page): 获取每页显示条数
- def get_total_datas(self, total_data_text): 获取数据总数
<|skeleton|>
class ADPlaceManagePage:
"""广告位管理页面"""
def get_limit_n... | 3011071556a3fa097d951a1823a4870cc4cc81e1 | <|skeleton|>
class ADPlaceManagePage:
"""广告位管理页面"""
def get_limit_number(self, limit_text_of_per_page):
"""获取每页显示条数"""
<|body_0|>
def get_total_datas(self, total_data_text):
"""获取数据总数"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ADPlaceManagePage:
"""广告位管理页面"""
def get_limit_number(self, limit_text_of_per_page):
"""获取每页显示条数"""
regex = '^(\\d+).*'
pattern = re.compile(regex)
matcher = pattern.search(limit_text_of_per_page)
if matcher:
return matcher.group(1)
else:
... | the_stack_v2_python_sparse | sevenautotest/testobjects/pages/webpages/yy/ad_place_manage_page.py | hotswwkyo/SevenPytest | train | 3 |
64d570e9af884bd79e6deeffd46dac7b856c47cf | [
"self.attainable_Q = attainable_Q\nself.lambd = lambd\nself.discount = discount\nself.baseline = baseline\nself.deviation = deviation\nself.use_scale = use_scale\nif baseline != 'stepwise':\n self.name = baseline.capitalize()\n if baseline == 'start':\n self.name = 'Starting state'\nif deviation != 'ab... | <|body_start_0|>
self.attainable_Q = attainable_Q
self.lambd = lambd
self.discount = discount
self.baseline = baseline
self.deviation = deviation
self.use_scale = use_scale
if baseline != 'stepwise':
self.name = baseline.capitalize()
if bas... | Attainable utility-preserving agent. | AUPAgent | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AUPAgent:
"""Attainable utility-preserving agent."""
def __init__(self, attainable_Q, lambd=1 / 1.501, discount=0.996, baseline='stepwise', deviation='absolute', use_scale=False):
""":param attainable_Q: Q functions for the attainable set. :param lambd: Scale harshness of penalty. :p... | stack_v2_sparse_classes_75kplus_train_073969 | 5,049 | permissive | [
{
"docstring": ":param attainable_Q: Q functions for the attainable set. :param lambd: Scale harshness of penalty. :param discount: :param baseline: That with respect to which we calculate impact. :param deviation: How to penalize shifts in attainable utility.",
"name": "__init__",
"signature": "def __i... | 4 | stack_v2_sparse_classes_30k_train_013917 | Implement the Python class `AUPAgent` described below.
Class description:
Attainable utility-preserving agent.
Method signatures and docstrings:
- def __init__(self, attainable_Q, lambd=1 / 1.501, discount=0.996, baseline='stepwise', deviation='absolute', use_scale=False): :param attainable_Q: Q functions for the att... | Implement the Python class `AUPAgent` described below.
Class description:
Attainable utility-preserving agent.
Method signatures and docstrings:
- def __init__(self, attainable_Q, lambd=1 / 1.501, discount=0.996, baseline='stepwise', deviation='absolute', use_scale=False): :param attainable_Q: Q functions for the att... | 245b1fbc18f31d1d53883790d0d81d9fa27c2eba | <|skeleton|>
class AUPAgent:
"""Attainable utility-preserving agent."""
def __init__(self, attainable_Q, lambd=1 / 1.501, discount=0.996, baseline='stepwise', deviation='absolute', use_scale=False):
""":param attainable_Q: Q functions for the attainable set. :param lambd: Scale harshness of penalty. :p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AUPAgent:
"""Attainable utility-preserving agent."""
def __init__(self, attainable_Q, lambd=1 / 1.501, discount=0.996, baseline='stepwise', deviation='absolute', use_scale=False):
""":param attainable_Q: Q functions for the attainable set. :param lambd: Scale harshness of penalty. :param discount... | the_stack_v2_python_sparse | agents/aup.py | alexander-turner/attainable-utility-preservation | train | 12 |
16e14cee89f081a8079869d5053c7f9008e46391 | [
"km = self.kernel_manager\nmodel = await ensure_async(km.kernel_model(kernel_id))\nself.finish(json.dumps(model, default=json_default))",
"km = self.kernel_manager\nawait ensure_async(km.shutdown_kernel(kernel_id))\nself.set_status(204)\nself.finish()"
] | <|body_start_0|>
km = self.kernel_manager
model = await ensure_async(km.kernel_model(kernel_id))
self.finish(json.dumps(model, default=json_default))
<|end_body_0|>
<|body_start_1|>
km = self.kernel_manager
await ensure_async(km.shutdown_kernel(kernel_id))
self.set_statu... | A kernel API handler. | KernelHandler | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KernelHandler:
"""A kernel API handler."""
async def get(self, kernel_id):
"""Get a kernel model."""
<|body_0|>
async def delete(self, kernel_id):
"""Remove a kernel."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
km = self.kernel_manager
... | stack_v2_sparse_classes_75kplus_train_073970 | 4,140 | permissive | [
{
"docstring": "Get a kernel model.",
"name": "get",
"signature": "async def get(self, kernel_id)"
},
{
"docstring": "Remove a kernel.",
"name": "delete",
"signature": "async def delete(self, kernel_id)"
}
] | 2 | null | Implement the Python class `KernelHandler` described below.
Class description:
A kernel API handler.
Method signatures and docstrings:
- async def get(self, kernel_id): Get a kernel model.
- async def delete(self, kernel_id): Remove a kernel. | Implement the Python class `KernelHandler` described below.
Class description:
A kernel API handler.
Method signatures and docstrings:
- async def get(self, kernel_id): Get a kernel model.
- async def delete(self, kernel_id): Remove a kernel.
<|skeleton|>
class KernelHandler:
"""A kernel API handler."""
asy... | 93fde1ad9fece22607960184501f5c9c80cd3765 | <|skeleton|>
class KernelHandler:
"""A kernel API handler."""
async def get(self, kernel_id):
"""Get a kernel model."""
<|body_0|>
async def delete(self, kernel_id):
"""Remove a kernel."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KernelHandler:
"""A kernel API handler."""
async def get(self, kernel_id):
"""Get a kernel model."""
km = self.kernel_manager
model = await ensure_async(km.kernel_model(kernel_id))
self.finish(json.dumps(model, default=json_default))
async def delete(self, kernel_id):... | the_stack_v2_python_sparse | jupyter_server/services/kernels/handlers.py | jupyter-server/jupyter_server | train | 237 |
ea4581fc47301ecc33a351c0e591e0071bae272a | [
"super(ComboLoss, self).__init__()\nassert alpha >= 0 and alpha <= 1, f'ValueError. alpha must in the range [0,1]. {alpha} given'\nassert beta >= 0 and beta <= 1, f'ValueError. beta must in the range [0,1]. {beta} given'\nself.alpha = alpha\nself.beta = beta\nself.reduction = reduction\nself.bin_dice_loss_fn = Bina... | <|body_start_0|>
super(ComboLoss, self).__init__()
assert alpha >= 0 and alpha <= 1, f'ValueError. alpha must in the range [0,1]. {alpha} given'
assert beta >= 0 and beta <= 1, f'ValueError. beta must in the range [0,1]. {beta} given'
self.alpha = alpha
self.beta = beta
s... | Define the ComboLoss described by Asgari et al. It combines a Dice loss and a Binary cross entropy (BCE) loss in which the False Posistive (FP) and False Negative (FN) can be weighted. | ComboLoss | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComboLoss:
"""Define the ComboLoss described by Asgari et al. It combines a Dice loss and a Binary cross entropy (BCE) loss in which the False Posistive (FP) and False Negative (FN) can be weighted."""
def __init__(self, alpha=0.5, beta=0.5, reduction='mean', p=1):
"""Build a ComboLo... | stack_v2_sparse_classes_75kplus_train_073971 | 22,277 | permissive | [
{
"docstring": "Build a ComboLoss module for Binary segmentation. ---------- INPUT |---- alpha (float) the relative importance of the BCE compared to the Dice loss. Must be between 0 and 1. |---- beta (float) the relative importance of FP compared to FN in the BCE Loss. Must be between 0 and 1. |---- reduction ... | 2 | null | Implement the Python class `ComboLoss` described below.
Class description:
Define the ComboLoss described by Asgari et al. It combines a Dice loss and a Binary cross entropy (BCE) loss in which the False Posistive (FP) and False Negative (FN) can be weighted.
Method signatures and docstrings:
- def __init__(self, alp... | Implement the Python class `ComboLoss` described below.
Class description:
Define the ComboLoss described by Asgari et al. It combines a Dice loss and a Binary cross entropy (BCE) loss in which the False Posistive (FP) and False Negative (FN) can be weighted.
Method signatures and docstrings:
- def __init__(self, alp... | 61e74a6188fe82843085e87da7d9c4ec7bdbf85e | <|skeleton|>
class ComboLoss:
"""Define the ComboLoss described by Asgari et al. It combines a Dice loss and a Binary cross entropy (BCE) loss in which the False Posistive (FP) and False Negative (FN) can be weighted."""
def __init__(self, alpha=0.5, beta=0.5, reduction='mean', p=1):
"""Build a ComboLo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ComboLoss:
"""Define the ComboLoss described by Asgari et al. It combines a Dice loss and a Binary cross entropy (BCE) loss in which the False Posistive (FP) and False Negative (FN) can be weighted."""
def __init__(self, alpha=0.5, beta=0.5, reduction='mean', p=1):
"""Build a ComboLoss module for... | the_stack_v2_python_sparse | code/src/models/optim/LossFunctions.py | antoine-spahr/Label-Efficient-Volumetric-Deep-Semantic-Segmentation-of-ICH | train | 6 |
aaa8806b1754ef891aab5cc7f520e1109a7e4b7a | [
"equipment_qs = Equipment.search(**search_info)\nequipment_qs.order_by('-create_time')\nreturn Splitor(current_page, equipment_qs)",
"for logistics in logistics_list:\n for logisticsitem in logistics.items:\n equipment_qs = Equipment.search(logistics_item=logisticsitem)\n logisticsitem.equipment_... | <|body_start_0|>
equipment_qs = Equipment.search(**search_info)
equipment_qs.order_by('-create_time')
return Splitor(current_page, equipment_qs)
<|end_body_0|>
<|body_start_1|>
for logistics in logistics_list:
for logisticsitem in logistics.items:
equipment_q... | EquipmentServer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EquipmentServer:
def search(cls, current_page, **search_info):
"""查询设备列表"""
<|body_0|>
def hung_code_bylogistics(cls, logistics_list):
"""根据物流详情挂载设备"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
equipment_qs = Equipment.search(**search_info)
... | stack_v2_sparse_classes_75kplus_train_073972 | 1,568 | no_license | [
{
"docstring": "查询设备列表",
"name": "search",
"signature": "def search(cls, current_page, **search_info)"
},
{
"docstring": "根据物流详情挂载设备",
"name": "hung_code_bylogistics",
"signature": "def hung_code_bylogistics(cls, logistics_list)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048567 | Implement the Python class `EquipmentServer` described below.
Class description:
Implement the EquipmentServer class.
Method signatures and docstrings:
- def search(cls, current_page, **search_info): 查询设备列表
- def hung_code_bylogistics(cls, logistics_list): 根据物流详情挂载设备 | Implement the Python class `EquipmentServer` described below.
Class description:
Implement the EquipmentServer class.
Method signatures and docstrings:
- def search(cls, current_page, **search_info): 查询设备列表
- def hung_code_bylogistics(cls, logistics_list): 根据物流详情挂载设备
<|skeleton|>
class EquipmentServer:
def sear... | c22e772bc24381f7f57e1d6e41ae0289e7f11e57 | <|skeleton|>
class EquipmentServer:
def search(cls, current_page, **search_info):
"""查询设备列表"""
<|body_0|>
def hung_code_bylogistics(cls, logistics_list):
"""根据物流详情挂载设备"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EquipmentServer:
def search(cls, current_page, **search_info):
"""查询设备列表"""
equipment_qs = Equipment.search(**search_info)
equipment_qs.order_by('-create_time')
return Splitor(current_page, equipment_qs)
def hung_code_bylogistics(cls, logistics_list):
"""根据物流详情挂载设备... | the_stack_v2_python_sparse | codes/crm-be/tuoen/abs/service/equipment/manager.py | MaseraTiGo/Maserati_Go | train | 0 | |
8fa3a6eb8cf8725b6be447d74ad2f1d6c6b77081 | [
"super().__init__(name, plug, model, unique_id)\nif self._model == MODEL_POWER_STRIP_V2:\n self._device_features = FEATURE_FLAGS_POWER_STRIP_V2\nelse:\n self._device_features = FEATURE_FLAGS_POWER_STRIP_V1\nself._state_attrs[ATTR_LOAD_POWER] = None\nif self._device_features & FEATURE_SET_POWER_MODE == 1:\n ... | <|body_start_0|>
super().__init__(name, plug, model, unique_id)
if self._model == MODEL_POWER_STRIP_V2:
self._device_features = FEATURE_FLAGS_POWER_STRIP_V2
else:
self._device_features = FEATURE_FLAGS_POWER_STRIP_V1
self._state_attrs[ATTR_LOAD_POWER] = None
... | Representation of a Xiaomi Power Strip. | XiaomiPowerStripSwitch | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XiaomiPowerStripSwitch:
"""Representation of a Xiaomi Power Strip."""
def __init__(self, name, plug, model, unique_id):
"""Initialize the plug switch."""
<|body_0|>
async def async_update(self) -> None:
"""Fetch state from the device."""
<|body_1|>
a... | stack_v2_sparse_classes_75kplus_train_073973 | 36,734 | permissive | [
{
"docstring": "Initialize the plug switch.",
"name": "__init__",
"signature": "def __init__(self, name, plug, model, unique_id)"
},
{
"docstring": "Fetch state from the device.",
"name": "async_update",
"signature": "async def async_update(self) -> None"
},
{
"docstring": "Set t... | 3 | stack_v2_sparse_classes_30k_train_017139 | Implement the Python class `XiaomiPowerStripSwitch` described below.
Class description:
Representation of a Xiaomi Power Strip.
Method signatures and docstrings:
- def __init__(self, name, plug, model, unique_id): Initialize the plug switch.
- async def async_update(self) -> None: Fetch state from the device.
- async... | Implement the Python class `XiaomiPowerStripSwitch` described below.
Class description:
Representation of a Xiaomi Power Strip.
Method signatures and docstrings:
- def __init__(self, name, plug, model, unique_id): Initialize the plug switch.
- async def async_update(self) -> None: Fetch state from the device.
- async... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class XiaomiPowerStripSwitch:
"""Representation of a Xiaomi Power Strip."""
def __init__(self, name, plug, model, unique_id):
"""Initialize the plug switch."""
<|body_0|>
async def async_update(self) -> None:
"""Fetch state from the device."""
<|body_1|>
a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class XiaomiPowerStripSwitch:
"""Representation of a Xiaomi Power Strip."""
def __init__(self, name, plug, model, unique_id):
"""Initialize the plug switch."""
super().__init__(name, plug, model, unique_id)
if self._model == MODEL_POWER_STRIP_V2:
self._device_features = FEAT... | the_stack_v2_python_sparse | homeassistant/components/xiaomi_miio/switch.py | home-assistant/core | train | 35,501 |
89c2b707a154c475d18bfdfa48fdac4d31d81cce | [
"if actions is None:\n actions = list(VALID_ACTIONS_FOR_LIST.keys()) + list(VALID_ACTIONS_FOR_DETAIL)\nif not isinstance(actions, (list, set)):\n raise TypeError(\"The `actions` argument must be a list or set.For example `CaravaggiokRouter(['list', 'retrieve'])`\")\nlist_actions = {}\ndetail_actions = {}\nlis... | <|body_start_0|>
if actions is None:
actions = list(VALID_ACTIONS_FOR_LIST.keys()) + list(VALID_ACTIONS_FOR_DETAIL)
if not isinstance(actions, (list, set)):
raise TypeError("The `actions` argument must be a list or set.For example `CaravaggiokRouter(['list', 'retrieve'])`")
... | CaravaggioRouter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CaravaggioRouter:
def __init__(self, actions=None, *args, **kwargs):
"""Configure the available routes based on the informed actions. All the dynamic routes are always registered. Dynamic routes are generated based on the use of @action(detail=True) decorator on methods of the viewset. :... | stack_v2_sparse_classes_75kplus_train_073974 | 4,843 | permissive | [
{
"docstring": "Configure the available routes based on the informed actions. All the dynamic routes are always registered. Dynamic routes are generated based on the use of @action(detail=True) decorator on methods of the viewset. :param actions: the actions the router should register. The valid actions are: li... | 2 | stack_v2_sparse_classes_30k_train_052260 | Implement the Python class `CaravaggioRouter` described below.
Class description:
Implement the CaravaggioRouter class.
Method signatures and docstrings:
- def __init__(self, actions=None, *args, **kwargs): Configure the available routes based on the informed actions. All the dynamic routes are always registered. Dyn... | Implement the Python class `CaravaggioRouter` described below.
Class description:
Implement the CaravaggioRouter class.
Method signatures and docstrings:
- def __init__(self, actions=None, *args, **kwargs): Configure the available routes based on the informed actions. All the dynamic routes are always registered. Dyn... | 98a530f7c0c38860561fac2f57476cf40f03e3d7 | <|skeleton|>
class CaravaggioRouter:
def __init__(self, actions=None, *args, **kwargs):
"""Configure the available routes based on the informed actions. All the dynamic routes are always registered. Dynamic routes are generated based on the use of @action(detail=True) decorator on methods of the viewset. :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CaravaggioRouter:
def __init__(self, actions=None, *args, **kwargs):
"""Configure the available routes based on the informed actions. All the dynamic routes are always registered. Dynamic routes are generated based on the use of @action(detail=True) decorator on methods of the viewset. :param actions:... | the_stack_v2_python_sparse | src/caravaggio_rest_api/drf/routers.py | intellstartup/django-caravaggio-rest-api | train | 0 | |
ce04c0d2b0e96712b552ee28b98dfcbb4d9e6c1c | [
"from collections import deque\nself.w = width\nself.h = height\nself.foods = deque(food)\nself.snake = deque([(0, 0)])\nself.invalid = set([(0, 0)])\nself.score = 0",
"head = self.snake[0]\nnew_head = (head[0], head[1])\nif direction == 'U':\n new_head = (new_head[0] - 1, new_head[1])\nelif direction == 'L':\... | <|body_start_0|>
from collections import deque
self.w = width
self.h = height
self.foods = deque(food)
self.snake = deque([(0, 0)])
self.invalid = set([(0, 0)])
self.score = 0
<|end_body_0|>
<|body_start_1|>
head = self.snake[0]
new_head = (head[0... | SnakeGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""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], t... | stack_v2_sparse_classes_75kplus_train_073975 | 2,143 | 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].",
"name": "__init__",
"signature": "def __init__(self, widt... | 2 | stack_v2_sparse_classes_30k_train_045268 | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width: int, height: int, food: List[List[int]]): Initialize your data structure here. @param width - screen width @param height - screen height @param food -... | Implement the Python class `SnakeGame` described below.
Class description:
Implement the SnakeGame class.
Method signatures and docstrings:
- def __init__(self, width: int, height: int, food: List[List[int]]): Initialize your data structure here. @param width - screen width @param height - screen height @param food -... | 88ccd910dfdb0e6ca6a70fa2d37906c31f4b3d70 | <|skeleton|>
class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""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], t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""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 a... | the_stack_v2_python_sparse | practice/medium/0353-Design_Snake_Game.py | mattjp/leetcode | train | 0 | |
c6cebaece7e95949133e1f3112a133f9cb7abcbc | [
"if not heights:\n return 0\nn = len(heights)\ncnt = [0] * 101\nfor h in heights:\n cnt[h] += 1\nline = []\nfor i in range(1, 101):\n line.extend([i] * cnt[i])\nres = 0\nfor i in range(n):\n if heights[i] != line[i]:\n res += 1\nreturn res",
"if not heights:\n return 0\ncnt = [0] * 101\nfor ... | <|body_start_0|>
if not heights:
return 0
n = len(heights)
cnt = [0] * 101
for h in heights:
cnt[h] += 1
line = []
for i in range(1, 101):
line.extend([i] * cnt[i])
res = 0
for i in range(n):
if heights[i] !=... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def heightChecker1(self, heights: List[int]) -> int:
"""思路：计数排序 @param heights: @return:"""
<|body_0|>
def heightChecker2(self, heights: List[int]) -> int:
"""思路：不用新建line数组 @param heights: @return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_073976 | 2,301 | no_license | [
{
"docstring": "思路：计数排序 @param heights: @return:",
"name": "heightChecker1",
"signature": "def heightChecker1(self, heights: List[int]) -> int"
},
{
"docstring": "思路：不用新建line数组 @param heights: @return:",
"name": "heightChecker2",
"signature": "def heightChecker2(self, heights: List[int])... | 2 | stack_v2_sparse_classes_30k_train_041853 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def heightChecker1(self, heights: List[int]) -> int: 思路：计数排序 @param heights: @return:
- def heightChecker2(self, heights: List[int]) -> int: 思路：不用新建line数组 @param heights: @return... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def heightChecker1(self, heights: List[int]) -> int: 思路：计数排序 @param heights: @return:
- def heightChecker2(self, heights: List[int]) -> int: 思路：不用新建line数组 @param heights: @return... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def heightChecker1(self, heights: List[int]) -> int:
"""思路：计数排序 @param heights: @return:"""
<|body_0|>
def heightChecker2(self, heights: List[int]) -> int:
"""思路：不用新建line数组 @param heights: @return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def heightChecker1(self, heights: List[int]) -> int:
"""思路：计数排序 @param heights: @return:"""
if not heights:
return 0
n = len(heights)
cnt = [0] * 101
for h in heights:
cnt[h] += 1
line = []
for i in range(1, 101):
... | the_stack_v2_python_sparse | LeetCode/排序算法（sort）/1051. 高度检查器.py | yiming1012/MyLeetCode | train | 2 | |
9ac095ce6475e48891ee21421a8551c8a64ec23d | [
"sensor = None\nif config['type'].lower() == 'gpio':\n sensor = NanpyGPIOSensor(self.mudpi, config)\nelif config['type'].lower() == 'dht':\n sensor = NanpyDHTSensor(self.mudpi, config)\nelif config['type'].lower() == 'dallas_temperature':\n pass\nif sensor:\n node = self.extension.nodes[config['node']]\... | <|body_start_0|>
sensor = None
if config['type'].lower() == 'gpio':
sensor = NanpyGPIOSensor(self.mudpi, config)
elif config['type'].lower() == 'dht':
sensor = NanpyDHTSensor(self.mudpi, config)
elif config['type'].lower() == 'dallas_temperature':
pass... | Interface | [
"BSD-4-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interface:
def load(self, config):
"""Load Nanpy sensor components from configs"""
<|body_0|>
def validate(self, config):
"""Validate the Nanpy sensor config"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sensor = None
if config['type'].low... | stack_v2_sparse_classes_75kplus_train_073977 | 8,457 | permissive | [
{
"docstring": "Load Nanpy sensor components from configs",
"name": "load",
"signature": "def load(self, config)"
},
{
"docstring": "Validate the Nanpy sensor config",
"name": "validate",
"signature": "def validate(self, config)"
}
] | 2 | stack_v2_sparse_classes_30k_train_040970 | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load Nanpy sensor components from configs
- def validate(self, config): Validate the Nanpy sensor config | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load Nanpy sensor components from configs
- def validate(self, config): Validate the Nanpy sensor config
<|skeleton|>
class Interface:
def load(se... | fb206b1136f529c7197f1e6b29629ed05630d377 | <|skeleton|>
class Interface:
def load(self, config):
"""Load Nanpy sensor components from configs"""
<|body_0|>
def validate(self, config):
"""Validate the Nanpy sensor config"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interface:
def load(self, config):
"""Load Nanpy sensor components from configs"""
sensor = None
if config['type'].lower() == 'gpio':
sensor = NanpyGPIOSensor(self.mudpi, config)
elif config['type'].lower() == 'dht':
sensor = NanpyDHTSensor(self.mudpi, c... | the_stack_v2_python_sparse | mudpi/extensions/nanpy/sensor.py | mistasp0ck/mudpi-core | train | 0 | |
ec5e31c6d470224f54a8f7ff51bbe68e355fff79 | [
"self._console = Console()\nself._status = self._console.status('Working on it ...', spinner='bouncingBall')\nself._stored_progress_reporter = RichConsoleContextProgressReporter(console=self._console, status=self._status, sections=[], created_entities_stats=defaultdict(list), updated_entities_stats=defaultdict(lamb... | <|body_start_0|>
self._console = Console()
self._status = self._console.status('Working on it ...', spinner='bouncingBall')
self._stored_progress_reporter = RichConsoleContextProgressReporter(console=self._console, status=self._status, sections=[], created_entities_stats=defaultdict(list), updat... | A progress reporter factory that builds Rich progress reporters. | RichConsoleProgressReporterFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RichConsoleProgressReporterFactory:
"""A progress reporter factory that builds Rich progress reporters."""
def __init__(self) -> None:
"""Constructor."""
<|body_0|>
def new_reporter(self, context: AppLoggedInUseCaseContext) -> ContextProgressReporter:
"""Create a... | stack_v2_sparse_classes_75kplus_train_073978 | 30,212 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Create a new progress reporter.",
"name": "new_reporter",
"signature": "def new_reporter(self, context: AppLoggedInUseCaseContext) -> ContextProgressReporter"
},
{
"doc... | 3 | stack_v2_sparse_classes_30k_train_018830 | Implement the Python class `RichConsoleProgressReporterFactory` described below.
Class description:
A progress reporter factory that builds Rich progress reporters.
Method signatures and docstrings:
- def __init__(self) -> None: Constructor.
- def new_reporter(self, context: AppLoggedInUseCaseContext) -> ContextProgr... | Implement the Python class `RichConsoleProgressReporterFactory` described below.
Class description:
A progress reporter factory that builds Rich progress reporters.
Method signatures and docstrings:
- def __init__(self) -> None: Constructor.
- def new_reporter(self, context: AppLoggedInUseCaseContext) -> ContextProgr... | 5be2f692e851ce18ad65df40a6c00afc00ae86ae | <|skeleton|>
class RichConsoleProgressReporterFactory:
"""A progress reporter factory that builds Rich progress reporters."""
def __init__(self) -> None:
"""Constructor."""
<|body_0|>
def new_reporter(self, context: AppLoggedInUseCaseContext) -> ContextProgressReporter:
"""Create a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RichConsoleProgressReporterFactory:
"""A progress reporter factory that builds Rich progress reporters."""
def __init__(self) -> None:
"""Constructor."""
self._console = Console()
self._status = self._console.status('Working on it ...', spinner='bouncingBall')
self._stored... | the_stack_v2_python_sparse | src/cli/jupiter/cli/command/rendering.py | horia141/jupiter | train | 16 |
fbcf65e16ccaaeb3a973dd02c1d2ee07354f0ade | [
"import collections\nself.cache = collections.OrderedDict()\nself.capacity = capacity",
"ret = self.cache.pop(key, -1)\nif ret != -1:\n self.cache[key] = ret\nreturn ret",
"self.cache.pop(key, None)\nif len(self.cache) == self.capacity:\n self.cache.popitem(last=False)\nself.cache[key] = value"
] | <|body_start_0|>
import collections
self.cache = collections.OrderedDict()
self.capacity = capacity
<|end_body_0|>
<|body_start_1|>
ret = self.cache.pop(key, -1)
if ret != -1:
self.cache[key] = ret
return ret
<|end_body_1|>
<|body_start_2|>
self.cach... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":rtype: int"""
<|body_1|>
def set(self, key, value):
""":type key: int :type value: int :rtype: nothing"""
<|body_2|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_75kplus_train_073979 | 681 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: nothing",
"name": "set",
"sig... | 3 | stack_v2_sparse_classes_30k_train_044589 | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: int
- def set(self, key, value): :type key: int :type value: int :rtype: nothing | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: int
- def set(self, key, value): :type key: int :type value: int :rtype: nothing
<|skeleton|>
cla... | 88a822c48ef50187507d0f75ce65ecc39e849839 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":rtype: int"""
<|body_1|>
def set(self, key, value):
""":type key: int :type value: int :rtype: nothing"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
import collections
self.cache = collections.OrderedDict()
self.capacity = capacity
def get(self, key):
""":rtype: int"""
ret = self.cache.pop(key, -1)
if ret != -1:
self.c... | the_stack_v2_python_sparse | captainhcg/py/146-lru-cache.py | captainhcg/leetcode-in-py-and-go | train | 1 | |
07c89add1ec548b742ed43460a76be105de4c23a | [
"self._xx = xx\nself._yy = yy\nsuper(DeformationToPhase, self).__init__(str_description, ap_paramList)",
"track_angle = self.ap_paramList[0]()\nmin_ground_range_1 = self.ap_paramList[1]()\nheight_1 = self.ap_paramList[2]()\nis_right_looking = self.ap_paramList[3]()\nwavelength = self.ap_paramList[4]()\nk = self.a... | <|body_start_0|>
self._xx = xx
self._yy = yy
super(DeformationToPhase, self).__init__(str_description, ap_paramList)
<|end_body_0|>
<|body_start_1|>
track_angle = self.ap_paramList[0]()
min_ground_range_1 = self.ap_paramList[1]()
height_1 = self.ap_paramList[2]()
... | Convert deformation to phas | DeformationToPhase | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeformationToPhase:
"""Convert deformation to phas"""
def __init__(self, str_description, ap_paramList, xx, yy):
"""Initialize Deformation to Phase pipeline item @param str_description: String description of item @param ap_paramList[track_angle] = Auto param of the track angle @param... | stack_v2_sparse_classes_75kplus_train_073980 | 4,150 | permissive | [
{
"docstring": "Initialize Deformation to Phase pipeline item @param str_description: String description of item @param ap_paramList[track_angle] = Auto param of the track angle @param ap_paramList[min_ground_range_1] = Auto param of min_ground_range_1 @param ap_paramList[height_1] = Auto param of height_1 @par... | 2 | stack_v2_sparse_classes_30k_train_026741 | Implement the Python class `DeformationToPhase` described below.
Class description:
Convert deformation to phas
Method signatures and docstrings:
- def __init__(self, str_description, ap_paramList, xx, yy): Initialize Deformation to Phase pipeline item @param str_description: String description of item @param ap_para... | Implement the Python class `DeformationToPhase` described below.
Class description:
Convert deformation to phas
Method signatures and docstrings:
- def __init__(self, str_description, ap_paramList, xx, yy): Initialize Deformation to Phase pipeline item @param str_description: String description of item @param ap_para... | 4d22e3ef90ef842d6b390074a8b5deedc7658a2b | <|skeleton|>
class DeformationToPhase:
"""Convert deformation to phas"""
def __init__(self, str_description, ap_paramList, xx, yy):
"""Initialize Deformation to Phase pipeline item @param str_description: String description of item @param ap_paramList[track_angle] = Auto param of the track angle @param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeformationToPhase:
"""Convert deformation to phas"""
def __init__(self, str_description, ap_paramList, xx, yy):
"""Initialize Deformation to Phase pipeline item @param str_description: String description of item @param ap_paramList[track_angle] = Auto param of the track angle @param ap_paramList... | the_stack_v2_python_sparse | pyinsar/processing/discovery/deformation_to_phase.py | MITeaps/pyinsar | train | 11 |
ac15bb95fda6211a157d02722a7f4b016acec825 | [
"found = False\nseedlist = self.get_Value()\nfor iseed in seedlist:\n found = iseed.startswith(name + ' ')\n if found:\n break\nreturn found",
"seedlist = self.get_Value()\noffset = jobproperties.Digitization.rndmSeedOffset1.get_Value() + jobproperties.Digitization.rndmSeedOffset2.get_Value()\nnewsee... | <|body_start_0|>
found = False
seedlist = self.get_Value()
for iseed in seedlist:
found = iseed.startswith(name + ' ')
if found:
break
return found
<|end_body_0|>
<|body_start_1|>
seedlist = self.get_Value()
offset = jobproperties.... | Random Number Seeds | rndmSeedList | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class rndmSeedList:
"""Random Number Seeds"""
def checkForExistingSeed(self, name):
"""Ensure that each stream is only initialized once"""
<|body_0|>
def addSeed(self, name, seed1, seed2):
"""Add seeds to internal seedlist. Seeds will be incremented by offset values"""... | stack_v2_sparse_classes_75kplus_train_073981 | 29,414 | permissive | [
{
"docstring": "Ensure that each stream is only initialized once",
"name": "checkForExistingSeed",
"signature": "def checkForExistingSeed(self, name)"
},
{
"docstring": "Add seeds to internal seedlist. Seeds will be incremented by offset values",
"name": "addSeed",
"signature": "def addS... | 4 | null | Implement the Python class `rndmSeedList` described below.
Class description:
Random Number Seeds
Method signatures and docstrings:
- def checkForExistingSeed(self, name): Ensure that each stream is only initialized once
- def addSeed(self, name, seed1, seed2): Add seeds to internal seedlist. Seeds will be incremente... | Implement the Python class `rndmSeedList` described below.
Class description:
Random Number Seeds
Method signatures and docstrings:
- def checkForExistingSeed(self, name): Ensure that each stream is only initialized once
- def addSeed(self, name, seed1, seed2): Add seeds to internal seedlist. Seeds will be incremente... | 354f92551294f7be678aebcd7b9d67d2c4448176 | <|skeleton|>
class rndmSeedList:
"""Random Number Seeds"""
def checkForExistingSeed(self, name):
"""Ensure that each stream is only initialized once"""
<|body_0|>
def addSeed(self, name, seed1, seed2):
"""Add seeds to internal seedlist. Seeds will be incremented by offset values"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class rndmSeedList:
"""Random Number Seeds"""
def checkForExistingSeed(self, name):
"""Ensure that each stream is only initialized once"""
found = False
seedlist = self.get_Value()
for iseed in seedlist:
found = iseed.startswith(name + ' ')
if found:
... | the_stack_v2_python_sparse | Simulation/Digitization/python/DigitizationFlags.py | strigazi/athena | train | 0 |
44de7009aedc02afe1c34e1086a62a367a50a06a | [
"self.predictor_async = predictor_async\nself.output_path = output_path\nself._result = None\nself.failure_path = failure_path",
"if waiter_config is not None and (not isinstance(waiter_config, WaiterConfig)):\n raise ValueError('waiter_config should be a WaiterConfig object')\nif self._result is None:\n if... | <|body_start_0|>
self.predictor_async = predictor_async
self.output_path = output_path
self._result = None
self.failure_path = failure_path
<|end_body_0|>
<|body_start_1|>
if waiter_config is not None and (not isinstance(waiter_config, WaiterConfig)):
raise ValueErro... | Response from Async Inference endpoint This response object provides a method to check for an async inference result in the Amazon S3 output path specified. If result object exists in that path, get and return the result | AsyncInferenceResponse | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AsyncInferenceResponse:
"""Response from Async Inference endpoint This response object provides a method to check for an async inference result in the Amazon S3 output path specified. If result object exists in that path, get and return the result"""
def __init__(self, predictor_async, outpu... | stack_v2_sparse_classes_75kplus_train_073982 | 5,879 | permissive | [
{
"docstring": "Initialize an AsyncInferenceResponse object. AsyncInferenceResponse can help users to get async inference result from the Amazon S3 output path Args: predictor_async (sagemaker.predictor.AsyncPredictor): The ``AsyncPredictor`` that return this response. output_path (str): The Amazon S3 location ... | 5 | null | Implement the Python class `AsyncInferenceResponse` described below.
Class description:
Response from Async Inference endpoint This response object provides a method to check for an async inference result in the Amazon S3 output path specified. If result object exists in that path, get and return the result
Method si... | Implement the Python class `AsyncInferenceResponse` described below.
Class description:
Response from Async Inference endpoint This response object provides a method to check for an async inference result in the Amazon S3 output path specified. If result object exists in that path, get and return the result
Method si... | 8d5d7fd8ae1a917ed3e2b988d5e533bce244fd85 | <|skeleton|>
class AsyncInferenceResponse:
"""Response from Async Inference endpoint This response object provides a method to check for an async inference result in the Amazon S3 output path specified. If result object exists in that path, get and return the result"""
def __init__(self, predictor_async, outpu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AsyncInferenceResponse:
"""Response from Async Inference endpoint This response object provides a method to check for an async inference result in the Amazon S3 output path specified. If result object exists in that path, get and return the result"""
def __init__(self, predictor_async, output_path, failu... | the_stack_v2_python_sparse | src/sagemaker/async_inference/async_inference_response.py | aws/sagemaker-python-sdk | train | 2,050 |
c7c9a249d55290e3c80faac5db659750fd379b50 | [
"self.aux_weight = aux_weight\nloss_base_cp = loss_base.copy()\nloss_base_name = loss_base_cp.pop('type')\nif ClassFactory.is_exists('trainer.loss', loss_base_name):\n loss_class = ClassFactory.get_cls('trainer.loss', loss_base_name)\nelse:\n loss_class = getattr(importlib.import_module('tensorflow.losses'), ... | <|body_start_0|>
self.aux_weight = aux_weight
loss_base_cp = loss_base.copy()
loss_base_name = loss_base_cp.pop('type')
if ClassFactory.is_exists('trainer.loss', loss_base_name):
loss_class = ClassFactory.get_cls('trainer.loss', loss_base_name)
else:
loss_... | Class of Mix Auxiliary Loss. :param aux_weight: auxiliary loss weight :type aux_weight: float :loss_base: base loss function :loss_base: str | MixAuxiliaryLoss | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MixAuxiliaryLoss:
"""Class of Mix Auxiliary Loss. :param aux_weight: auxiliary loss weight :type aux_weight: float :loss_base: base loss function :loss_base: str"""
def __init__(self, aux_weight, loss_base):
"""Init MixAuxiliaryLoss."""
<|body_0|>
def __call__(self, logi... | stack_v2_sparse_classes_75kplus_train_073983 | 1,827 | permissive | [
{
"docstring": "Init MixAuxiliaryLoss.",
"name": "__init__",
"signature": "def __init__(self, aux_weight, loss_base)"
},
{
"docstring": "Loss forward function.",
"name": "__call__",
"signature": "def __call__(self, logits, labels)"
}
] | 2 | stack_v2_sparse_classes_30k_train_054476 | Implement the Python class `MixAuxiliaryLoss` described below.
Class description:
Class of Mix Auxiliary Loss. :param aux_weight: auxiliary loss weight :type aux_weight: float :loss_base: base loss function :loss_base: str
Method signatures and docstrings:
- def __init__(self, aux_weight, loss_base): Init MixAuxiliar... | Implement the Python class `MixAuxiliaryLoss` described below.
Class description:
Class of Mix Auxiliary Loss. :param aux_weight: auxiliary loss weight :type aux_weight: float :loss_base: base loss function :loss_base: str
Method signatures and docstrings:
- def __init__(self, aux_weight, loss_base): Init MixAuxiliar... | 12e37a1991eb6771a2999fe0a46ddda920c47948 | <|skeleton|>
class MixAuxiliaryLoss:
"""Class of Mix Auxiliary Loss. :param aux_weight: auxiliary loss weight :type aux_weight: float :loss_base: base loss function :loss_base: str"""
def __init__(self, aux_weight, loss_base):
"""Init MixAuxiliaryLoss."""
<|body_0|>
def __call__(self, logi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MixAuxiliaryLoss:
"""Class of Mix Auxiliary Loss. :param aux_weight: auxiliary loss weight :type aux_weight: float :loss_base: base loss function :loss_base: str"""
def __init__(self, aux_weight, loss_base):
"""Init MixAuxiliaryLoss."""
self.aux_weight = aux_weight
loss_base_cp = ... | the_stack_v2_python_sparse | vega/networks/tensorflow/losses/mix_auxiliary_loss.py | huawei-noah/vega | train | 850 |
e6fa0384178cfe926aab3b216143dfcd9578cfc3 | [
"self.resource_name = str_attr\nCDevice.__init__(self, self.resource_name)\nself.obj_parent = obj_device\nself.set_logger(self.obj_parent.obj_logger)\nself.set_rest_agent(self.obj_parent.obj_rest_agent)\nself.str_device_type = self.obj_parent.str_device_type\nself.uri = '{}/{}'.format(self.obj_parent.uri, self.reso... | <|body_start_0|>
self.resource_name = str_attr
CDevice.__init__(self, self.resource_name)
self.obj_parent = obj_device
self.set_logger(self.obj_parent.obj_logger)
self.set_rest_agent(self.obj_parent.obj_rest_agent)
self.str_device_type = self.obj_parent.str_device_type
... | CCatalog | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CCatalog:
def __init__(self, obj_device, str_attr):
"""@param obj_device: Parent device that init this one @type obj_device: CDevice @param str_attr: attribute of this catalog, could be: - id for catalog in catalogs - source for catalog in nodes @type str_attr: string"""
<|body_0... | stack_v2_sparse_classes_75kplus_train_073984 | 2,652 | no_license | [
{
"docstring": "@param obj_device: Parent device that init this one @type obj_device: CDevice @param str_attr: attribute of this catalog, could be: - id for catalog in catalogs - source for catalog in nodes @type str_attr: string",
"name": "__init__",
"signature": "def __init__(self, obj_device, str_att... | 3 | stack_v2_sparse_classes_30k_val_002855 | Implement the Python class `CCatalog` described below.
Class description:
Implement the CCatalog class.
Method signatures and docstrings:
- def __init__(self, obj_device, str_attr): @param obj_device: Parent device that init this one @type obj_device: CDevice @param str_attr: attribute of this catalog, could be: - id... | Implement the Python class `CCatalog` described below.
Class description:
Implement the CCatalog class.
Method signatures and docstrings:
- def __init__(self, obj_device, str_attr): @param obj_device: Parent device that init this one @type obj_device: CDevice @param str_attr: attribute of this catalog, could be: - id... | 8290fc0ccbde0a6a7d8784aec04c88cc325cfa4c | <|skeleton|>
class CCatalog:
def __init__(self, obj_device, str_attr):
"""@param obj_device: Parent device that init this one @type obj_device: CDevice @param str_attr: attribute of this catalog, could be: - id for catalog in catalogs - source for catalog in nodes @type str_attr: string"""
<|body_0... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CCatalog:
def __init__(self, obj_device, str_attr):
"""@param obj_device: Parent device that init this one @type obj_device: CDevice @param str_attr: attribute of this catalog, could be: - id for catalog in catalogs - source for catalog in nodes @type str_attr: string"""
self.resource_name = s... | the_stack_v2_python_sparse | idic/monorail/Catalog.py | InfraSIM/test | train | 1 | |
5f58597032042e4a2abbcc550a110fc81d7b8b96 | [
"if s == '' or len(s) <= 0:\n return ''\nreturn '%20'.join(s.split(' '))",
"if s == '' or len(s) <= 0:\n return ''\nreturn s.replace(' ', '%20')",
"if s == '' or len(s) <= 0:\n return ''\ns = list(s)\ncount = 0\nfor i in s:\n if i == ' ':\n count += 1\np1 = len(s) - 1\ns += [None] * (count * ... | <|body_start_0|>
if s == '' or len(s) <= 0:
return ''
return '%20'.join(s.split(' '))
<|end_body_0|>
<|body_start_1|>
if s == '' or len(s) <= 0:
return ''
return s.replace(' ', '%20')
<|end_body_1|>
<|body_start_2|>
if s == '' or len(s) <= 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def replaceSpace1(self, s):
"""使用join"""
<|body_0|>
def replaceSpace2(self, s):
"""使用replace方法"""
<|body_1|>
def replaceSpace3(self, s):
"""剑指offer解法： ①先计算源字符串数组长度，并统计空格数量 ②新字符串数组长度=源数组长度+2*空格数量 ③在新字符串数组上，从后向前遍历，通过两个index移动并复制 :param s:... | stack_v2_sparse_classes_75kplus_train_073985 | 1,869 | no_license | [
{
"docstring": "使用join",
"name": "replaceSpace1",
"signature": "def replaceSpace1(self, s)"
},
{
"docstring": "使用replace方法",
"name": "replaceSpace2",
"signature": "def replaceSpace2(self, s)"
},
{
"docstring": "剑指offer解法： ①先计算源字符串数组长度，并统计空格数量 ②新字符串数组长度=源数组长度+2*空格数量 ③在新字符串数组上，从后向前... | 3 | stack_v2_sparse_classes_30k_train_020719 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def replaceSpace1(self, s): 使用join
- def replaceSpace2(self, s): 使用replace方法
- def replaceSpace3(self, s): 剑指offer解法： ①先计算源字符串数组长度，并统计空格数量 ②新字符串数组长度=源数组长度+2*空格数量 ③在新字符串数组上，从后向前遍历... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def replaceSpace1(self, s): 使用join
- def replaceSpace2(self, s): 使用replace方法
- def replaceSpace3(self, s): 剑指offer解法： ①先计算源字符串数组长度，并统计空格数量 ②新字符串数组长度=源数组长度+2*空格数量 ③在新字符串数组上，从后向前遍历... | 060e809175cff96e91c694b93417c0c1d21719f0 | <|skeleton|>
class Solution:
def replaceSpace1(self, s):
"""使用join"""
<|body_0|>
def replaceSpace2(self, s):
"""使用replace方法"""
<|body_1|>
def replaceSpace3(self, s):
"""剑指offer解法： ①先计算源字符串数组长度，并统计空格数量 ②新字符串数组长度=源数组长度+2*空格数量 ③在新字符串数组上，从后向前遍历，通过两个index移动并复制 :param s:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def replaceSpace1(self, s):
"""使用join"""
if s == '' or len(s) <= 0:
return ''
return '%20'.join(s.split(' '))
def replaceSpace2(self, s):
"""使用replace方法"""
if s == '' or len(s) <= 0:
return ''
return s.replace(' ', '%20')
... | the_stack_v2_python_sparse | ProgrammingOJ/CodingInterviewOffer_nowcoder_python/05_ReplaceSpaces.py | PandoraLS/CodingInterview | train | 2 | |
f81275bd127bdb5d644fd7446fdcbc19172b7606 | [
"debug.trace('GramMgrDictContext.interpret_dictation', 'initial_buffer=%s' % initial_buffer)\nname = self.name()\nif initial_buffer != 0:\n self.recog_mgr.interpret_dictation(name, result, initial_buffer=initial_buffer)",
"current = self.app.cur_pos(buff_name=buffer)\nselection = self.app.get_selection(buff_na... | <|body_start_0|>
debug.trace('GramMgrDictContext.interpret_dictation', 'initial_buffer=%s' % initial_buffer)
name = self.name()
if initial_buffer != 0:
self.recog_mgr.interpret_dictation(name, result, initial_buffer=initial_buffer)
<|end_body_0|>
<|body_start_1|>
current = s... | implements finding of dictation context **INSTANCE ATTRIBUTES** *none* **CLASS ATTRIBUTES** *none* | GramMgrDictContext | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GramMgrDictContext:
"""implements finding of dictation context **INSTANCE ATTRIBUTES** *none* **CLASS ATTRIBUTES** *none*"""
def interpret_dictation(self, result, initial_buffer=None):
"""interpret the result of recognition by a dictation grammar, and store the relevant information t... | stack_v2_sparse_classes_75kplus_train_073986 | 43,420 | no_license | [
{
"docstring": "interpret the result of recognition by a dictation grammar, and store the relevant information to allow for correction. **INPUTS** *SpokenUtterance result* -- a SpokenUtterance object representing the recognition results *STR initial_buffer* -- the name of the initial buffer which was active at ... | 2 | stack_v2_sparse_classes_30k_train_007852 | Implement the Python class `GramMgrDictContext` described below.
Class description:
implements finding of dictation context **INSTANCE ATTRIBUTES** *none* **CLASS ATTRIBUTES** *none*
Method signatures and docstrings:
- def interpret_dictation(self, result, initial_buffer=None): interpret the result of recognition by ... | Implement the Python class `GramMgrDictContext` described below.
Class description:
implements finding of dictation context **INSTANCE ATTRIBUTES** *none* **CLASS ATTRIBUTES** *none*
Method signatures and docstrings:
- def interpret_dictation(self, result, initial_buffer=None): interpret the result of recognition by ... | 21eea404bfe63e4ea445cfa9edcde8152ad59836 | <|skeleton|>
class GramMgrDictContext:
"""implements finding of dictation context **INSTANCE ATTRIBUTES** *none* **CLASS ATTRIBUTES** *none*"""
def interpret_dictation(self, result, initial_buffer=None):
"""interpret the result of recognition by a dictation grammar, and store the relevant information t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GramMgrDictContext:
"""implements finding of dictation context **INSTANCE ATTRIBUTES** *none* **CLASS ATTRIBUTES** *none*"""
def interpret_dictation(self, result, initial_buffer=None):
"""interpret the result of recognition by a dictation grammar, and store the relevant information to allow for c... | the_stack_v2_python_sparse | VCode/Mediator/GramMgr.py | jboner/emacs-config | train | 8 |
2a30e9d3bdc47b4e5018d254e9429bec0ad022ea | [
"cdata = self.cleaned_data\npassword1 = cdata.get('password1')\npassword2 = cdata.get('password2')\nif not password1 or not password2 or (not len(password1)) or (not len(password2)):\n msg = 'Both password and password confirmation must be filled'\n raise forms.ValidationError(msg)\nif password1 != password2:... | <|body_start_0|>
cdata = self.cleaned_data
password1 = cdata.get('password1')
password2 = cdata.get('password2')
if not password1 or not password2 or (not len(password1)) or (not len(password2)):
msg = 'Both password and password confirmation must be filled'
raise... | A form for creating new users. | TrackTrainsUserCreationForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrackTrainsUserCreationForm:
"""A form for creating new users."""
def clean_password2(self):
"""Check that the password and password confirmation are identical."""
<|body_0|>
def save(self, commit=True):
"""Save password in hashed format"""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus_train_073987 | 3,456 | permissive | [
{
"docstring": "Check that the password and password confirmation are identical.",
"name": "clean_password2",
"signature": "def clean_password2(self)"
},
{
"docstring": "Save password in hashed format",
"name": "save",
"signature": "def save(self, commit=True)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009564 | Implement the Python class `TrackTrainsUserCreationForm` described below.
Class description:
A form for creating new users.
Method signatures and docstrings:
- def clean_password2(self): Check that the password and password confirmation are identical.
- def save(self, commit=True): Save password in hashed format | Implement the Python class `TrackTrainsUserCreationForm` described below.
Class description:
A form for creating new users.
Method signatures and docstrings:
- def clean_password2(self): Check that the password and password confirmation are identical.
- def save(self, commit=True): Save password in hashed format
<|s... | fd7086f14e415531fbb4215c8f0df8540b4ade00 | <|skeleton|>
class TrackTrainsUserCreationForm:
"""A form for creating new users."""
def clean_password2(self):
"""Check that the password and password confirmation are identical."""
<|body_0|>
def save(self, commit=True):
"""Save password in hashed format"""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TrackTrainsUserCreationForm:
"""A form for creating new users."""
def clean_password2(self):
"""Check that the password and password confirmation are identical."""
cdata = self.cleaned_data
password1 = cdata.get('password1')
password2 = cdata.get('password2')
if no... | the_stack_v2_python_sparse | profiles/admin.py | pavelkuchin/tracktrains | train | 0 |
8aeff0b9ef4ccbf9a8a6c374cb3566705965f099 | [
"self.unit_dim = unit_dim\nself.activation = activation\nself.dropout = dropout\nself.regularizer = regularizer\nself.random_seed = random_seed\nself.trainable = trainable\nself.scope = scope\nself.device_spec = get_device_spec(default_gpu_id, num_gpus)\nwith tf.variable_scope(self.scope, reuse=tf.AUTO_REUSE), tf.d... | <|body_start_0|>
self.unit_dim = unit_dim
self.activation = activation
self.dropout = dropout
self.regularizer = regularizer
self.random_seed = random_seed
self.trainable = trainable
self.scope = scope
self.device_spec = get_device_spec(default_gpu_id, num... | highway layer | Highway | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Highway:
"""highway layer"""
def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'):
"""initialize highway layer"""
<|body_0|>
def __call__(self, input_data, input_mask):
"... | stack_v2_sparse_classes_75kplus_train_073988 | 9,944 | permissive | [
{
"docstring": "initialize highway layer",
"name": "__init__",
"signature": "def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway')"
},
{
"docstring": "call highway layer",
"name": "__call__",
"sig... | 2 | stack_v2_sparse_classes_30k_test_001640 | Implement the Python class `Highway` described below.
Class description:
highway layer
Method signatures and docstrings:
- def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'): initialize highway layer
- def __call__(self, in... | Implement the Python class `Highway` described below.
Class description:
highway layer
Method signatures and docstrings:
- def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'): initialize highway layer
- def __call__(self, in... | 05fcbec15e359e3db86af6c3798c13be8a6c58ee | <|skeleton|>
class Highway:
"""highway layer"""
def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'):
"""initialize highway layer"""
<|body_0|>
def __call__(self, input_data, input_mask):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Highway:
"""highway layer"""
def __init__(self, unit_dim, activation, dropout, num_gpus=1, default_gpu_id=0, regularizer=None, random_seed=0, trainable=True, scope='highway'):
"""initialize highway layer"""
self.unit_dim = unit_dim
self.activation = activation
self.dropout... | the_stack_v2_python_sparse | sequence_labeling/layer/highway.py | stevezheng23/sequence_labeling_tf | train | 18 |
e03b5ed4b7415b893ce03168acb3e789bc0c1abc | [
"response = self.client.get('/feed/')\nself.assertContains(response, 'Django 1.0 alpha released', 1)\nself.assertContains(response, 'Introducing Review Board News', 1)",
"response = self.client.get('/feed-inline/')\nself.assertContains(response, 'Django 1.0 alpha released', 1)\nself.assertContains(response, 'Intr... | <|body_start_0|>
response = self.client.get('/feed/')
self.assertContains(response, 'Django 1.0 alpha released', 1)
self.assertContains(response, 'Introducing Review Board News', 1)
<|end_body_0|>
<|body_start_1|>
response = self.client.get('/feed-inline/')
self.assertContains(r... | FeedViewTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FeedViewTests:
def testViewFeedPage(self):
"""Testing view_feed with the feed-page.html template"""
<|body_0|>
def testViewFeedInline(self):
"""Testing view_feed with the feed-inline.html template"""
<|body_1|>
def testViewFeedError(self):
"""Tes... | stack_v2_sparse_classes_75kplus_train_073989 | 1,065 | no_license | [
{
"docstring": "Testing view_feed with the feed-page.html template",
"name": "testViewFeedPage",
"signature": "def testViewFeedPage(self)"
},
{
"docstring": "Testing view_feed with the feed-inline.html template",
"name": "testViewFeedInline",
"signature": "def testViewFeedInline(self)"
... | 3 | stack_v2_sparse_classes_30k_train_038985 | Implement the Python class `FeedViewTests` described below.
Class description:
Implement the FeedViewTests class.
Method signatures and docstrings:
- def testViewFeedPage(self): Testing view_feed with the feed-page.html template
- def testViewFeedInline(self): Testing view_feed with the feed-inline.html template
- de... | Implement the Python class `FeedViewTests` described below.
Class description:
Implement the FeedViewTests class.
Method signatures and docstrings:
- def testViewFeedPage(self): Testing view_feed with the feed-page.html template
- def testViewFeedInline(self): Testing view_feed with the feed-inline.html template
- de... | 99ea69d80a3a393b0da4da3152ef26e808dd8487 | <|skeleton|>
class FeedViewTests:
def testViewFeedPage(self):
"""Testing view_feed with the feed-page.html template"""
<|body_0|>
def testViewFeedInline(self):
"""Testing view_feed with the feed-inline.html template"""
<|body_1|>
def testViewFeedError(self):
"""Tes... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FeedViewTests:
def testViewFeedPage(self):
"""Testing view_feed with the feed-page.html template"""
response = self.client.get('/feed/')
self.assertContains(response, 'Django 1.0 alpha released', 1)
self.assertContains(response, 'Introducing Review Board News', 1)
def test... | the_stack_v2_python_sparse | djblets/feedview/tests.py | chipx86/djblets | train | 2 | |
f5fb50d0ef37b2b9bf4de53a09c355740486895a | [
"inputs = np.random.rand(2, input_size, input_size, 3)\ntf.keras.backend.set_image_data_format('channels_last')\nbackbone = basnet_model.BASNetEncoder()\ndecoder = basnet_model.BASNetDecoder()\nrefinement = refunet.RefUnet()\nmodel = basnet_model.BASNetModel(backbone=backbone, decoder=decoder, refinement=refinement... | <|body_start_0|>
inputs = np.random.rand(2, input_size, input_size, 3)
tf.keras.backend.set_image_data_format('channels_last')
backbone = basnet_model.BASNetEncoder()
decoder = basnet_model.BASNetDecoder()
refinement = refunet.RefUnet()
model = basnet_model.BASNetModel(ba... | BASNetNetworkTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BASNetNetworkTest:
def test_basnet_network_creation(self, input_size):
"""Test for creation of a segmentation network."""
<|body_0|>
def test_serialize_deserialize(self):
"""Validate the network can be serialized and deserialized."""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_75kplus_train_073990 | 2,356 | permissive | [
{
"docstring": "Test for creation of a segmentation network.",
"name": "test_basnet_network_creation",
"signature": "def test_basnet_network_creation(self, input_size)"
},
{
"docstring": "Validate the network can be serialized and deserialized.",
"name": "test_serialize_deserialize",
"si... | 2 | stack_v2_sparse_classes_30k_train_053227 | Implement the Python class `BASNetNetworkTest` described below.
Class description:
Implement the BASNetNetworkTest class.
Method signatures and docstrings:
- def test_basnet_network_creation(self, input_size): Test for creation of a segmentation network.
- def test_serialize_deserialize(self): Validate the network ca... | Implement the Python class `BASNetNetworkTest` described below.
Class description:
Implement the BASNetNetworkTest class.
Method signatures and docstrings:
- def test_basnet_network_creation(self, input_size): Test for creation of a segmentation network.
- def test_serialize_deserialize(self): Validate the network ca... | d3507b550a3ade40cade60a79eb5b8978b56c7ae | <|skeleton|>
class BASNetNetworkTest:
def test_basnet_network_creation(self, input_size):
"""Test for creation of a segmentation network."""
<|body_0|>
def test_serialize_deserialize(self):
"""Validate the network can be serialized and deserialized."""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BASNetNetworkTest:
def test_basnet_network_creation(self, input_size):
"""Test for creation of a segmentation network."""
inputs = np.random.rand(2, input_size, input_size, 3)
tf.keras.backend.set_image_data_format('channels_last')
backbone = basnet_model.BASNetEncoder()
... | the_stack_v2_python_sparse | official/projects/basnet/modeling/basnet_model_test.py | jianzhnie/models | train | 2 | |
4a0521e733d7580ef3eba6519f3e26a369b68637 | [
"super().__init__()\nself.pooling = pooling\nself.kernel_size = kernel_size\nself.enc_l5 = SphericalChebBN2(16, 32, 64, laps[5], self.kernel_size)\nself.enc_l4 = SphericalChebBNPool(64, 128, laps[4], self.pooling, self.kernel_size)\nself.enc_l3 = SphericalChebBNPool(128, 256, laps[3], self.pooling, self.kernel_size... | <|body_start_0|>
super().__init__()
self.pooling = pooling
self.kernel_size = kernel_size
self.enc_l5 = SphericalChebBN2(16, 32, 64, laps[5], self.kernel_size)
self.enc_l4 = SphericalChebBNPool(64, 128, laps[4], self.pooling, self.kernel_size)
self.enc_l3 = SphericalChebB... | Encoder for the Spherical UNet. | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""Encoder for the Spherical UNet."""
def __init__(self, pooling, laps, kernel_size):
"""Initialization. Args: pooling (:obj:`torch.nn.Module`): pooling layer. laps (list): List of laplacians. kernel_size (int): polynomial degree."""
<|body_0|>
def forward(self,... | stack_v2_sparse_classes_75kplus_train_073991 | 41,403 | no_license | [
{
"docstring": "Initialization. Args: pooling (:obj:`torch.nn.Module`): pooling layer. laps (list): List of laplacians. kernel_size (int): polynomial degree.",
"name": "__init__",
"signature": "def __init__(self, pooling, laps, kernel_size)"
},
{
"docstring": "Forward Pass. Args: x (:obj:`torch.... | 2 | stack_v2_sparse_classes_30k_train_032096 | Implement the Python class `Encoder` described below.
Class description:
Encoder for the Spherical UNet.
Method signatures and docstrings:
- def __init__(self, pooling, laps, kernel_size): Initialization. Args: pooling (:obj:`torch.nn.Module`): pooling layer. laps (list): List of laplacians. kernel_size (int): polyno... | Implement the Python class `Encoder` described below.
Class description:
Encoder for the Spherical UNet.
Method signatures and docstrings:
- def __init__(self, pooling, laps, kernel_size): Initialization. Args: pooling (:obj:`torch.nn.Module`): pooling layer. laps (list): List of laplacians. kernel_size (int): polyno... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class Encoder:
"""Encoder for the Spherical UNet."""
def __init__(self, pooling, laps, kernel_size):
"""Initialization. Args: pooling (:obj:`torch.nn.Module`): pooling layer. laps (list): List of laplacians. kernel_size (int): polynomial degree."""
<|body_0|>
def forward(self,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Encoder:
"""Encoder for the Spherical UNet."""
def __init__(self, pooling, laps, kernel_size):
"""Initialization. Args: pooling (:obj:`torch.nn.Module`): pooling layer. laps (list): List of laplacians. kernel_size (int): polynomial degree."""
super().__init__()
self.pooling = pool... | the_stack_v2_python_sparse | generated/test_deepsphere_deepsphere_pytorch.py | jansel/pytorch-jit-paritybench | train | 35 |
152651842aa7c5bad824ee56cc9a4831f7bb5ec2 | [
"ret = 0\nfor i1 in range(len(height)):\n for i2 in range(i1 + 1, len(height)):\n ret = max(min(height[i1], height[i2]) * (i2 - i1), ret)\nreturn ret",
"maxarea = 0\nl = 0\nr = len(height)\nwhile l < r:\n maxarea = max(maxarea, Math.min(height[l], height[r]) * (r - l))\n if height[l] < height[r]:\... | <|body_start_0|>
ret = 0
for i1 in range(len(height)):
for i2 in range(i1 + 1, len(height)):
ret = max(min(height[i1], height[i2]) * (i2 - i1), ret)
return ret
<|end_body_0|>
<|body_start_1|>
maxarea = 0
l = 0
r = len(height)
while l <... | 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|>
ret = 0
for i1 in range(len(height)):... | stack_v2_sparse_classes_75kplus_train_073992 | 961 | 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 | null | 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... | d8ed762d1005975f0de4f07760c9671195621c88 | <|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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
ret = 0
for i1 in range(len(height)):
for i2 in range(i1 + 1, len(height)):
ret = max(min(height[i1], height[i2]) * (i2 - i1), ret)
return ret
def maxArea(self, heigh... | the_stack_v2_python_sparse | container-with-most-water/solution.py | uxlsl/leetcode_practice | train | 0 | |
852b42df62a5e382b706216d2040074f8892317c | [
"super().__init__()\nself.up_layers = torch.nn.ModuleList()\nfor scale in upsample_scales:\n stretch = Stretch2d(scale, 1, interpolate_mode)\n self.up_layers += [stretch]\n assert (freq_axis_kernel_size - 1) % 2 == 0, 'Not support even number freq axis kernel size.'\n freq_axis_padding = (freq_axis_kern... | <|body_start_0|>
super().__init__()
self.up_layers = torch.nn.ModuleList()
for scale in upsample_scales:
stretch = Stretch2d(scale, 1, interpolate_mode)
self.up_layers += [stretch]
assert (freq_axis_kernel_size - 1) % 2 == 0, 'Not support even number freq axis... | Upsampling network module. | UpsampleNetwork | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpsampleNetwork:
"""Upsampling network module."""
def __init__(self, upsample_scales: List[int], nonlinear_activation: Optional[str]=None, nonlinear_activation_params: Dict[str, Any]={}, interpolate_mode: str='nearest', freq_axis_kernel_size: int=1):
"""Initialize UpsampleNetwork mod... | stack_v2_sparse_classes_75kplus_train_073993 | 6,161 | permissive | [
{
"docstring": "Initialize UpsampleNetwork module. Args: upsample_scales (List[int]): List of upsampling scales. nonlinear_activation (Optional[str]): Activation function name. nonlinear_activation_params (Dict[str, Any]): Arguments for the specified activation function. interpolate_mode (str): Interpolation mo... | 2 | stack_v2_sparse_classes_30k_train_039596 | Implement the Python class `UpsampleNetwork` described below.
Class description:
Upsampling network module.
Method signatures and docstrings:
- def __init__(self, upsample_scales: List[int], nonlinear_activation: Optional[str]=None, nonlinear_activation_params: Dict[str, Any]={}, interpolate_mode: str='nearest', freq... | Implement the Python class `UpsampleNetwork` described below.
Class description:
Upsampling network module.
Method signatures and docstrings:
- def __init__(self, upsample_scales: List[int], nonlinear_activation: Optional[str]=None, nonlinear_activation_params: Dict[str, Any]={}, interpolate_mode: str='nearest', freq... | bcd20948db7846ee523443ef9fd78c7a1248c95e | <|skeleton|>
class UpsampleNetwork:
"""Upsampling network module."""
def __init__(self, upsample_scales: List[int], nonlinear_activation: Optional[str]=None, nonlinear_activation_params: Dict[str, Any]={}, interpolate_mode: str='nearest', freq_axis_kernel_size: int=1):
"""Initialize UpsampleNetwork mod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpsampleNetwork:
"""Upsampling network module."""
def __init__(self, upsample_scales: List[int], nonlinear_activation: Optional[str]=None, nonlinear_activation_params: Dict[str, Any]={}, interpolate_mode: str='nearest', freq_axis_kernel_size: int=1):
"""Initialize UpsampleNetwork module. Args: up... | the_stack_v2_python_sparse | espnet2/gan_tts/parallel_wavegan/upsample.py | espnet/espnet | train | 7,242 |
f281cb604e8f1469829908b6c1b98451827da3a2 | [
"super().__init__()\nself.seed = torch.manual_seed(seed)\nself.layer1 = nn.Linear(state_size, layer1_units)\nself.layer2 = nn.Linear(layer1_units, layer2_units)\nself.layer3 = nn.Linear(layer2_units, layer3_units)\nself.layer4 = nn.Linear(layer3_units, action_size)",
"x = F.relu(self.layer1(x))\nx = F.relu(self.l... | <|body_start_0|>
super().__init__()
self.seed = torch.manual_seed(seed)
self.layer1 = nn.Linear(state_size, layer1_units)
self.layer2 = nn.Linear(layer1_units, layer2_units)
self.layer3 = nn.Linear(layer2_units, layer3_units)
self.layer4 = nn.Linear(layer3_units, action_s... | MLPNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MLPNetwork:
def __init__(self, state_size, action_size, seed, layer1_units=100, layer2_units=100, layer3_units=100):
"""MLP model for agent :param state_size: :param action_size: :param seed: :param layer1_units: :param layer2_units: :param layer3_units:"""
<|body_0|>
def fo... | stack_v2_sparse_classes_75kplus_train_073994 | 975 | no_license | [
{
"docstring": "MLP model for agent :param state_size: :param action_size: :param seed: :param layer1_units: :param layer2_units: :param layer3_units:",
"name": "__init__",
"signature": "def __init__(self, state_size, action_size, seed, layer1_units=100, layer2_units=100, layer3_units=100)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_037967 | Implement the Python class `MLPNetwork` described below.
Class description:
Implement the MLPNetwork class.
Method signatures and docstrings:
- def __init__(self, state_size, action_size, seed, layer1_units=100, layer2_units=100, layer3_units=100): MLP model for agent :param state_size: :param action_size: :param see... | Implement the Python class `MLPNetwork` described below.
Class description:
Implement the MLPNetwork class.
Method signatures and docstrings:
- def __init__(self, state_size, action_size, seed, layer1_units=100, layer2_units=100, layer3_units=100): MLP model for agent :param state_size: :param action_size: :param see... | 21ceb0d5fe143848f0b58f8f92e455faf5013154 | <|skeleton|>
class MLPNetwork:
def __init__(self, state_size, action_size, seed, layer1_units=100, layer2_units=100, layer3_units=100):
"""MLP model for agent :param state_size: :param action_size: :param seed: :param layer1_units: :param layer2_units: :param layer3_units:"""
<|body_0|>
def fo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MLPNetwork:
def __init__(self, state_size, action_size, seed, layer1_units=100, layer2_units=100, layer3_units=100):
"""MLP model for agent :param state_size: :param action_size: :param seed: :param layer1_units: :param layer2_units: :param layer3_units:"""
super().__init__()
self.seed... | the_stack_v2_python_sparse | src/agents/models/nn_model.py | ylcoldplayer/bidding | train | 1 | |
e3061201e1f5ca147839c1d508a14d9f2fb8156f | [
"super(Compressor, self).__init__()\nself.hidden_size = hidden_size\nconv = functools.partial(tf.keras.layers.Conv2D, padding='SAME', activation=tf.nn.leaky_relu)\nself.conv1 = conv(256, 3, 2)\nself.conv2 = conv(256, 3, 2)\nself.conv3 = conv(256, 3, 2)\nself.conv4 = conv(hidden_size, 8, padding='VALID')",
"image_... | <|body_start_0|>
super(Compressor, self).__init__()
self.hidden_size = hidden_size
conv = functools.partial(tf.keras.layers.Conv2D, padding='SAME', activation=tf.nn.leaky_relu)
self.conv1 = conv(256, 3, 2)
self.conv2 = conv(256, 3, 2)
self.conv3 = conv(256, 3, 2)
... | Feature extractor. This convolutional model aims to extract features corresponding to a sequence of image frames for use in downstream probabilistic encoders. The architecture is symmetric to that of the convolutional decoder. | Compressor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Compressor:
"""Feature extractor. This convolutional model aims to extract features corresponding to a sequence of image frames for use in downstream probabilistic encoders. The architecture is symmetric to that of the convolutional decoder."""
def __init__(self, hidden_size):
"""Con... | stack_v2_sparse_classes_75kplus_train_073995 | 40,214 | permissive | [
{
"docstring": "Constructs a convolutional compressor. This model takes as input `x_{1:T}` and outputs an intermediate representation for use in downstream probabilistic encoders. Args: hidden_size: Dimensionality of the intermediate representations.",
"name": "__init__",
"signature": "def __init__(self... | 2 | null | Implement the Python class `Compressor` described below.
Class description:
Feature extractor. This convolutional model aims to extract features corresponding to a sequence of image frames for use in downstream probabilistic encoders. The architecture is symmetric to that of the convolutional decoder.
Method signatur... | Implement the Python class `Compressor` described below.
Class description:
Feature extractor. This convolutional model aims to extract features corresponding to a sequence of image frames for use in downstream probabilistic encoders. The architecture is symmetric to that of the convolutional decoder.
Method signatur... | 8f727353954cea1199e5c59e2019f018a3da6601 | <|skeleton|>
class Compressor:
"""Feature extractor. This convolutional model aims to extract features corresponding to a sequence of image frames for use in downstream probabilistic encoders. The architecture is symmetric to that of the convolutional decoder."""
def __init__(self, hidden_size):
"""Con... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Compressor:
"""Feature extractor. This convolutional model aims to extract features corresponding to a sequence of image frames for use in downstream probabilistic encoders. The architecture is symmetric to that of the convolutional decoder."""
def __init__(self, hidden_size):
"""Constructs a con... | the_stack_v2_python_sparse | indl/old_reference/disentangled_vae_sprites.py | SachsLab/indl | train | 0 |
ab3006fe41b68bdecd862b9fad7e15178d645949 | [
"seq = []\n\ndef pre_order_traversal(root):\n if not root:\n seq.append('#')\n return\n seq.append(str(root.val))\n pre_order_traversal(root.left)\n pre_order_traversal(root.right)\npre_order_traversal(root)\nreturn ' '.join(seq)",
"seq = data.split()\nvals = iter(seq)\n\ndef build_tree(... | <|body_start_0|>
seq = []
def pre_order_traversal(root):
if not root:
seq.append('#')
return
seq.append(str(root.val))
pre_order_traversal(root.left)
pre_order_traversal(root.right)
pre_order_traversal(root)
... | Codec3 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec3:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_75kplus_train_073996 | 5,549 | 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 `Codec3` described below.
Class description:
Implement the Codec3 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 :rtyp... | Implement the Python class `Codec3` described below.
Class description:
Implement the Codec3 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 :rtyp... | 052bd7915257679877dbe55b60ed1abb7528eaa2 | <|skeleton|>
class Codec3:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec3:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
seq = []
def pre_order_traversal(root):
if not root:
seq.append('#')
return
seq.append(str(root.val))
pre_or... | the_stack_v2_python_sparse | python_solution/Tree/297_SerializeAndDeserializeBinaryTree.py | Dimen61/leetcode | train | 4 | |
95cd16cff31facdfaa49c1cc3e68f83b0ddd4db7 | [
"self.myClick(self.find_uiautomator(self.get_mtz_name(), 'text'))\nself.boolean_login_state()\nself.login_by_sms(self.localReadConfig().getMobileInfo('mobile1'))\nself.swipe_to_down(2)\nself.myClick(self.find_element('个人中心', *self.iv_my_icon_id))\nself.assertEqual(self.find_element('个人中心title', *self.personal_info)... | <|body_start_0|>
self.myClick(self.find_uiautomator(self.get_mtz_name(), 'text'))
self.boolean_login_state()
self.login_by_sms(self.localReadConfig().getMobileInfo('mobile1'))
self.swipe_to_down(2)
self.myClick(self.find_element('个人中心', *self.iv_my_icon_id))
self.assertEq... | Test_login_by_sms | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_login_by_sms:
def test_sms(self):
"""使用验证码登录并且退出登录"""
<|body_0|>
def test_sms_error(self):
"""验证码输入错误"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.myClick(self.find_uiautomator(self.get_mtz_name(), 'text'))
self.boolean_login_st... | stack_v2_sparse_classes_75kplus_train_073997 | 1,409 | no_license | [
{
"docstring": "使用验证码登录并且退出登录",
"name": "test_sms",
"signature": "def test_sms(self)"
},
{
"docstring": "验证码输入错误",
"name": "test_sms_error",
"signature": "def test_sms_error(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003969 | Implement the Python class `Test_login_by_sms` described below.
Class description:
Implement the Test_login_by_sms class.
Method signatures and docstrings:
- def test_sms(self): 使用验证码登录并且退出登录
- def test_sms_error(self): 验证码输入错误 | Implement the Python class `Test_login_by_sms` described below.
Class description:
Implement the Test_login_by_sms class.
Method signatures and docstrings:
- def test_sms(self): 使用验证码登录并且退出登录
- def test_sms_error(self): 验证码输入错误
<|skeleton|>
class Test_login_by_sms:
def test_sms(self):
"""使用验证码登录并且退出登录""... | b2066139eb0723eff69d971589b283b4b776c84c | <|skeleton|>
class Test_login_by_sms:
def test_sms(self):
"""使用验证码登录并且退出登录"""
<|body_0|>
def test_sms_error(self):
"""验证码输入错误"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test_login_by_sms:
def test_sms(self):
"""使用验证码登录并且退出登录"""
self.myClick(self.find_uiautomator(self.get_mtz_name(), 'text'))
self.boolean_login_state()
self.login_by_sms(self.localReadConfig().getMobileInfo('mobile1'))
self.swipe_to_down(2)
self.myClick(self.find... | the_stack_v2_python_sparse | TestCase/4_5/TC_login/test_login_by_sms.py | testerSunshine/auto_md | train | 4 | |
e6c8d87e6c8ab4dce9d142bc1f530ef7e4c1e6e7 | [
"pygame.init()\nself.screen_width = 1200\nself.screen_height = 800\nself.screen = pygame.display.set_mode((self.screen_width, self.screen_height))\npygame.display.set_caption('Star Field')\nself.bg_color = (0, 0, 0)\nself.stars = pygame.sprite.Group()\nself._creat_starfield()",
"star = Star(self)\nstar_width, sta... | <|body_start_0|>
pygame.init()
self.screen_width = 1200
self.screen_height = 800
self.screen = pygame.display.set_mode((self.screen_width, self.screen_height))
pygame.display.set_caption('Star Field')
self.bg_color = (0, 0, 0)
self.stars = pygame.sprite.Group()
... | Overall class for a star field. | StarField | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StarField:
"""Overall class for a star field."""
def __init__(self):
"""Initialize the game and background resources."""
<|body_0|>
def _creat_starfield(self):
"""Create a field of stars."""
<|body_1|>
def _creat_star(self, star_number, row_number):
... | stack_v2_sparse_classes_75kplus_train_073998 | 2,457 | no_license | [
{
"docstring": "Initialize the game and background resources.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Create a field of stars.",
"name": "_creat_starfield",
"signature": "def _creat_starfield(self)"
},
{
"docstring": "Create a star and place in ... | 4 | stack_v2_sparse_classes_30k_train_054602 | Implement the Python class `StarField` described below.
Class description:
Overall class for a star field.
Method signatures and docstrings:
- def __init__(self): Initialize the game and background resources.
- def _creat_starfield(self): Create a field of stars.
- def _creat_star(self, star_number, row_number): Crea... | Implement the Python class `StarField` described below.
Class description:
Overall class for a star field.
Method signatures and docstrings:
- def __init__(self): Initialize the game and background resources.
- def _creat_starfield(self): Create a field of stars.
- def _creat_star(self, star_number, row_number): Crea... | de8b257c1d69eb2a71dd95114f5f7adf58e00a53 | <|skeleton|>
class StarField:
"""Overall class for a star field."""
def __init__(self):
"""Initialize the game and background resources."""
<|body_0|>
def _creat_starfield(self):
"""Create a field of stars."""
<|body_1|>
def _creat_star(self, star_number, row_number):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StarField:
"""Overall class for a star field."""
def __init__(self):
"""Initialize the game and background resources."""
pygame.init()
self.screen_width = 1200
self.screen_height = 800
self.screen = pygame.display.set_mode((self.screen_width, self.screen_height))
... | the_stack_v2_python_sparse | ch12_tryityourslef/stars.py | thewchan/python_crash_course | train | 0 |
a36dc2e0645ab9f77162c1f386572ee23bd06ed7 | [
"p = head\nwhile p:\n if p.next and p.val == p.next.val:\n p.next = p.next.next\n p = p.next\nreturn head",
"pre, pre.next = (ListNode(0), head)\npl, pr = (pre, head)\nwhile pr:\n if pr.next and pr.next.val == pr.val:\n tmp = pr.val\n while pr and pr.val == tmp:\n pr = pr.... | <|body_start_0|>
p = head
while p:
if p.next and p.val == p.next.val:
p.next = p.next.next
p = p.next
return head
<|end_body_0|>
<|body_start_1|>
pre, pre.next = (ListNode(0), head)
pl, pr = (pre, head)
while pr:
if pr.... | Solution83 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution83:
def deleteDuplicates(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def deleteDuplicates82(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
p = head
while ... | stack_v2_sparse_classes_75kplus_train_073999 | 3,101 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "deleteDuplicates",
"signature": "def deleteDuplicates(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "deleteDuplicates82",
"signature": "def deleteDuplicates82(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027631 | Implement the Python class `Solution83` described below.
Class description:
Implement the Solution83 class.
Method signatures and docstrings:
- def deleteDuplicates(self, head): :type head: ListNode :rtype: ListNode
- def deleteDuplicates82(self, head): :type head: ListNode :rtype: ListNode | Implement the Python class `Solution83` described below.
Class description:
Implement the Solution83 class.
Method signatures and docstrings:
- def deleteDuplicates(self, head): :type head: ListNode :rtype: ListNode
- def deleteDuplicates82(self, head): :type head: ListNode :rtype: ListNode
<|skeleton|>
class Soluti... | fcf79f4f7354454a28b60ef3c845dd6defddbf42 | <|skeleton|>
class Solution83:
def deleteDuplicates(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def deleteDuplicates82(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution83:
def deleteDuplicates(self, head):
""":type head: ListNode :rtype: ListNode"""
p = head
while p:
if p.next and p.val == p.next.val:
p.next = p.next.next
p = p.next
return head
def deleteDuplicates82(self, head):
""... | the_stack_v2_python_sparse | python_data_structure/python_List/leetcode.py | liunlll/LiuLeetCode | train | 0 |
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