blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
900245b19c568b38659204c68d605b4177aff694 | [
"self._version_strings = []\nfor bin_str in self._all_strings:\n if str(bin_str).startswith(self.VERSION_STRING_VP8) or str(bin_str).startswith(self.VERSION_STRING_VP9):\n version_string = str(bin_str)\n logger.debug('Located a version string of %s in address 0x%x', self.NAME, bin_str.ea)\n ... | <|body_start_0|>
self._version_strings = []
for bin_str in self._all_strings:
if str(bin_str).startswith(self.VERSION_STRING_VP8) or str(bin_str).startswith(self.VERSION_STRING_VP9):
version_string = str(bin_str)
logger.debug('Located a version string of %s in... | Seeker (Identifier) for the libvpx (codec) open source library. | libvpxSeeker | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class libvpxSeeker:
"""Seeker (Identifier) for the libvpx (codec) open source library."""
def searchLib(self, logger):
"""Check if the open source library is located somewhere in the binary. Args: logger (logger): elementals logger instance Return Value: number of library instances that we... | stack_v2_sparse_classes_36k_train_015400 | 2,457 | permissive | [
{
"docstring": "Check if the open source library is located somewhere in the binary. Args: logger (logger): elementals logger instance Return Value: number of library instances that were found in the binary",
"name": "searchLib",
"signature": "def searchLib(self, logger)"
},
{
"docstring": "Iden... | 2 | stack_v2_sparse_classes_30k_train_009433 | Implement the Python class `libvpxSeeker` described below.
Class description:
Seeker (Identifier) for the libvpx (codec) open source library.
Method signatures and docstrings:
- def searchLib(self, logger): Check if the open source library is located somewhere in the binary. Args: logger (logger): elementals logger i... | Implement the Python class `libvpxSeeker` described below.
Class description:
Seeker (Identifier) for the libvpx (codec) open source library.
Method signatures and docstrings:
- def searchLib(self, logger): Check if the open source library is located somewhere in the binary. Args: logger (logger): elementals logger i... | 03adda0775bfa338bfc61bfac14fe457b283a85c | <|skeleton|>
class libvpxSeeker:
"""Seeker (Identifier) for the libvpx (codec) open source library."""
def searchLib(self, logger):
"""Check if the open source library is located somewhere in the binary. Args: logger (logger): elementals logger instance Return Value: number of library instances that we... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class libvpxSeeker:
"""Seeker (Identifier) for the libvpx (codec) open source library."""
def searchLib(self, logger):
"""Check if the open source library is located somewhere in the binary. Args: logger (logger): elementals logger instance Return Value: number of library instances that were found in t... | the_stack_v2_python_sparse | src/libs/libvpx.py | MITRE-Reversing-Internship/Karta-Modified | train | 1 |
41352013643edadf0caac4ae3bf0e9ef1bfbb512 | [
"if not nums or len(nums) < 2:\n return 0\nnums.sort()\nres = 0\nfor i in range(1, len(nums)):\n res = max(res, nums[i] - nums[i - 1])\nreturn res",
"if not nums or len(nums) < 2:\n return 0\nK = int(math.ceil(math.log(2 ** 31, 10)))\nbucket = [[] for _ in range(10)]\nfor i in range(K):\n for val in n... | <|body_start_0|>
if not nums or len(nums) < 2:
return 0
nums.sort()
res = 0
for i in range(1, len(nums)):
res = max(res, nums[i] - nums[i - 1])
return res
<|end_body_0|>
<|body_start_1|>
if not nums or len(nums) < 2:
return 0
K... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maximumGap(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maximumGap_1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not nums or len(nums) < 2:
ret... | stack_v2_sparse_classes_36k_train_015401 | 2,222 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maximumGap",
"signature": "def maximumGap(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maximumGap_1",
"signature": "def maximumGap_1(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009862 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maximumGap(self, nums): :type nums: List[int] :rtype: int
- def maximumGap_1(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 maximumGap(self, nums): :type nums: List[int] :rtype: int
- def maximumGap_1(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def maximumGap(... | 3d9e0ad2f6ed92ec969556f75d97c51ea4854719 | <|skeleton|>
class Solution:
def maximumGap(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maximumGap_1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maximumGap(self, nums):
""":type nums: List[int] :rtype: int"""
if not nums or len(nums) < 2:
return 0
nums.sort()
res = 0
for i in range(1, len(nums)):
res = max(res, nums[i] - nums[i - 1])
return res
def maximumGap_1(... | the_stack_v2_python_sparse | Solutions/0164_maximumGap.py | YoupengLi/leetcode-sorting | train | 3 | |
133942505a1e2b2037048a20188683b3314f0d2b | [
"SBIg.alert('verbose', self, 'Writting object to file {0}'.format(object_file))\ndumpFile = File(file_name=object_file, action='w', overwrite=overwrite)\npickle.dump(self, dumpFile._fd)\ndumpFile.close()",
"SBIg.alert('verbose', StorableObject(), 'Preparing to load object from file {0}'.format(object_file))\nObje... | <|body_start_0|>
SBIg.alert('verbose', self, 'Writting object to file {0}'.format(object_file))
dumpFile = File(file_name=object_file, action='w', overwrite=overwrite)
pickle.dump(self, dumpFile._fd)
dumpFile.close()
<|end_body_0|>
<|body_start_1|>
SBIg.alert('verbose', Storable... | An abstract "dumping" class. This means that it is basically useful for those who would like to extend this library. Basically, it gives the object the ability to be "dumped" on disk and be recovered afterwards. | StorableObject | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StorableObject:
"""An abstract "dumping" class. This means that it is basically useful for those who would like to extend this library. Basically, it gives the object the ability to be "dumped" on disk and be recovered afterwards."""
def dump(self, object_file, overwrite=None):
"""St... | stack_v2_sparse_classes_36k_train_015402 | 1,791 | permissive | [
{
"docstring": "Stores the object into a file. @param: object_file @pdef: Name for the output file @ptype: {String} @param: overwrite @pdef: write over a existing file @pdefault: _SBIglobals.overwrite_ @ptype: {Boolean}",
"name": "dump",
"signature": "def dump(self, object_file, overwrite=None)"
},
... | 2 | stack_v2_sparse_classes_30k_train_007293 | Implement the Python class `StorableObject` described below.
Class description:
An abstract "dumping" class. This means that it is basically useful for those who would like to extend this library. Basically, it gives the object the ability to be "dumped" on disk and be recovered afterwards.
Method signatures and docs... | Implement the Python class `StorableObject` described below.
Class description:
An abstract "dumping" class. This means that it is basically useful for those who would like to extend this library. Basically, it gives the object the ability to be "dumped" on disk and be recovered afterwards.
Method signatures and docs... | 946b7afdac16aef391ddd162daabfcc968eb9110 | <|skeleton|>
class StorableObject:
"""An abstract "dumping" class. This means that it is basically useful for those who would like to extend this library. Basically, it gives the object the ability to be "dumped" on disk and be recovered afterwards."""
def dump(self, object_file, overwrite=None):
"""St... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StorableObject:
"""An abstract "dumping" class. This means that it is basically useful for those who would like to extend this library. Basically, it gives the object the ability to be "dumped" on disk and be recovered afterwards."""
def dump(self, object_file, overwrite=None):
"""Stores the obje... | the_stack_v2_python_sparse | SBI/beans/StorableObject.py | structuralbioinformatics/SPServer | train | 3 |
d48dd8289a56cc35670e7a636c49528d3b381099 | [
"version = FlowFileHistory(flow=self)\nversion.save()\nshutil.copy(temp_flow_file_path, version.get_storage_path())\nreturn self",
"try:\n version = FlowFileHistory.objects.filter(flow=self).order_by('id').last()\n return version.get_storage_path()\nexcept FlowFileHistory.DoesNotExist:\n return None"
] | <|body_start_0|>
version = FlowFileHistory(flow=self)
version.save()
shutil.copy(temp_flow_file_path, version.get_storage_path())
return self
<|end_body_0|>
<|body_start_1|>
try:
version = FlowFileHistory.objects.filter(flow=self).order_by('id').last()
re... | 流程文件 | FlowFile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlowFile:
"""流程文件"""
def clone_flow_file_from_path(self, temp_flow_file_path):
"""从临时文件处克隆流程文件"""
<|body_0|>
def get_flow_file_as_abs_path(self):
"""获取流程文件的完整路径"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
version = FlowFileHistory(flow=self)... | stack_v2_sparse_classes_36k_train_015403 | 12,718 | no_license | [
{
"docstring": "从临时文件处克隆流程文件",
"name": "clone_flow_file_from_path",
"signature": "def clone_flow_file_from_path(self, temp_flow_file_path)"
},
{
"docstring": "获取流程文件的完整路径",
"name": "get_flow_file_as_abs_path",
"signature": "def get_flow_file_as_abs_path(self)"
}
] | 2 | null | Implement the Python class `FlowFile` described below.
Class description:
流程文件
Method signatures and docstrings:
- def clone_flow_file_from_path(self, temp_flow_file_path): 从临时文件处克隆流程文件
- def get_flow_file_as_abs_path(self): 获取流程文件的完整路径 | Implement the Python class `FlowFile` described below.
Class description:
流程文件
Method signatures and docstrings:
- def clone_flow_file_from_path(self, temp_flow_file_path): 从临时文件处克隆流程文件
- def get_flow_file_as_abs_path(self): 获取流程文件的完整路径
<|skeleton|>
class FlowFile:
"""流程文件"""
def clone_flow_file_from_path(s... | 19f5879c50bc5ecc12a2340f7f9d0e7864735001 | <|skeleton|>
class FlowFile:
"""流程文件"""
def clone_flow_file_from_path(self, temp_flow_file_path):
"""从临时文件处克隆流程文件"""
<|body_0|>
def get_flow_file_as_abs_path(self):
"""获取流程文件的完整路径"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FlowFile:
"""流程文件"""
def clone_flow_file_from_path(self, temp_flow_file_path):
"""从临时文件处克隆流程文件"""
version = FlowFileHistory(flow=self)
version.save()
shutil.copy(temp_flow_file_path, version.get_storage_path())
return self
def get_flow_file_as_abs_path(self):
... | the_stack_v2_python_sparse | storage/models.py | bedreamer/plane-ui | train | 1 |
3ee7a1bdc06202aa5754ffa2ad3dbf7763d4db3d | [
"self._archive_data_source = archive_data_source\nself._config = config\nself._archive_data_file_creator = data_file_creator_factory.create(config, archive_data_source, config.continuous_logging_filename_template)\nself._last_write_time = None",
"continual_logging_last_write = self._last_write_time\nif continual_... | <|body_start_0|>
self._archive_data_source = archive_data_source
self._config = config
self._archive_data_file_creator = data_file_creator_factory.create(config, archive_data_source, config.continuous_logging_filename_template)
self._last_write_time = None
<|end_body_0|>
<|body_start_1|... | A logger that will write the data to the file every period. | ContinualLogger | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContinualLogger:
"""A logger that will write the data to the file every period."""
def __init__(self, config, archive_data_source, data_file_creator_factory):
"""Initializer. Args: config(ArchiverAccess.archive_access_configuration.ArchiveAccessConfig): configuration for this logging... | stack_v2_sparse_classes_36k_train_015404 | 11,537 | permissive | [
{
"docstring": "Initializer. Args: config(ArchiverAccess.archive_access_configuration.ArchiveAccessConfig): configuration for this logging set archive_data_source(ArchiverAccess.archiver_data_source.ArchiverDataSource): data source from the archive data_file_creator_factory: factor to allow creation of data fil... | 5 | stack_v2_sparse_classes_30k_train_012335 | Implement the Python class `ContinualLogger` described below.
Class description:
A logger that will write the data to the file every period.
Method signatures and docstrings:
- def __init__(self, config, archive_data_source, data_file_creator_factory): Initializer. Args: config(ArchiverAccess.archive_access_configura... | Implement the Python class `ContinualLogger` described below.
Class description:
A logger that will write the data to the file every period.
Method signatures and docstrings:
- def __init__(self, config, archive_data_source, data_file_creator_factory): Initializer. Args: config(ArchiverAccess.archive_access_configura... | 2e605cbff1cfe071571a64bed61708d8c92dc204 | <|skeleton|>
class ContinualLogger:
"""A logger that will write the data to the file every period."""
def __init__(self, config, archive_data_source, data_file_creator_factory):
"""Initializer. Args: config(ArchiverAccess.archive_access_configuration.ArchiveAccessConfig): configuration for this logging... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContinualLogger:
"""A logger that will write the data to the file every period."""
def __init__(self, config, archive_data_source, data_file_creator_factory):
"""Initializer. Args: config(ArchiverAccess.archive_access_configuration.ArchiveAccessConfig): configuration for this logging set archive_... | the_stack_v2_python_sparse | ArchiverAccess/log_file_initiator.py | ISISComputingGroup/EPICS-inst_servers | train | 1 |
0a48e14b6b283b777b9041049549529b10dbbe1d | [
"if not quota_max_calls:\n use_rate_limiter = False\nself._groups = None\nself._members = None\nself._users = None\nsuper(AdminDirectoryRepositoryClient, self).__init__(API_NAME, versions=['directory_v1'], credentials=credentials, quota_max_calls=quota_max_calls, quota_period=quota_period, use_rate_limiter=use_r... | <|body_start_0|>
if not quota_max_calls:
use_rate_limiter = False
self._groups = None
self._members = None
self._users = None
super(AdminDirectoryRepositoryClient, self).__init__(API_NAME, versions=['directory_v1'], credentials=credentials, quota_max_calls=quota_max_c... | Admin Directory API Respository Client. | AdminDirectoryRepositoryClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdminDirectoryRepositoryClient:
"""Admin Directory API Respository Client."""
def __init__(self, credentials, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True):
"""Constructor. Args: credentials (object): An google.auth credentials object. The admin directory API needs a... | stack_v2_sparse_classes_36k_train_015405 | 9,750 | permissive | [
{
"docstring": "Constructor. Args: credentials (object): An google.auth credentials object. The admin directory API needs a service account credential with delegated super admin role. quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track requests ... | 4 | stack_v2_sparse_classes_30k_train_002479 | Implement the Python class `AdminDirectoryRepositoryClient` described below.
Class description:
Admin Directory API Respository Client.
Method signatures and docstrings:
- def __init__(self, credentials, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True): Constructor. Args: credentials (object): An google... | Implement the Python class `AdminDirectoryRepositoryClient` described below.
Class description:
Admin Directory API Respository Client.
Method signatures and docstrings:
- def __init__(self, credentials, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True): Constructor. Args: credentials (object): An google... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class AdminDirectoryRepositoryClient:
"""Admin Directory API Respository Client."""
def __init__(self, credentials, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True):
"""Constructor. Args: credentials (object): An google.auth credentials object. The admin directory API needs a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdminDirectoryRepositoryClient:
"""Admin Directory API Respository Client."""
def __init__(self, credentials, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True):
"""Constructor. Args: credentials (object): An google.auth credentials object. The admin directory API needs a service acco... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_api/admin_directory.py | kevensen/forseti-security | train | 1 |
5129e494b9406d57e3783963f5af0b169253ef8a | [
"self.entityTypes = entityTypes\ncurToken = None\nsimpleTree = sentence.getSimpleTree()\nfor tNode in simpleTree.tokenNodes():\n if tNode.isNounPhraseNode():\n npUnbroken = True\n for npToken in tNode.npTokens:\n newToken = self.createOrAddToToken(curToken, npToken.token, mode)\n ... | <|body_start_0|>
self.entityTypes = entityTypes
curToken = None
simpleTree = sentence.getSimpleTree()
for tNode in simpleTree.tokenNodes():
if tNode.isNounPhraseNode():
npUnbroken = True
for npToken in tNode.npTokens:
newTok... | create a special simplified version of a given sentence. | SimplifiedSentence | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimplifiedSentence:
"""create a special simplified version of a given sentence."""
def __init__(self, sentence, entityTypes, mode):
"""create a simplified version of a given sentence. replace noun phrases with NP token, verb phrases with VP token, entity mentions with label for the e... | stack_v2_sparse_classes_36k_train_015406 | 4,501 | no_license | [
{
"docstring": "create a simplified version of a given sentence. replace noun phrases with NP token, verb phrases with VP token, entity mentions with label for the entity type. if mode == 'train', use annotated labels. Otherwise use detected ones.",
"name": "__init__",
"signature": "def __init__(self, s... | 4 | null | Implement the Python class `SimplifiedSentence` described below.
Class description:
create a special simplified version of a given sentence.
Method signatures and docstrings:
- def __init__(self, sentence, entityTypes, mode): create a simplified version of a given sentence. replace noun phrases with NP token, verb ph... | Implement the Python class `SimplifiedSentence` described below.
Class description:
create a special simplified version of a given sentence.
Method signatures and docstrings:
- def __init__(self, sentence, entityTypes, mode): create a simplified version of a given sentence. replace noun phrases with NP token, verb ph... | aecc4c4ac18ebc1c6cb39d54f9ed8cba5217c6f8 | <|skeleton|>
class SimplifiedSentence:
"""create a special simplified version of a given sentence."""
def __init__(self, sentence, entityTypes, mode):
"""create a simplified version of a given sentence. replace noun phrases with NP token, verb phrases with VP token, entity mentions with label for the e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SimplifiedSentence:
"""create a special simplified version of a given sentence."""
def __init__(self, sentence, entityTypes, mode):
"""create a simplified version of a given sentence. replace noun phrases with NP token, verb phrases with VP token, entity mentions with label for the entity type. i... | the_stack_v2_python_sparse | simplifiedsentence.py | rlsummerscales/acres | train | 0 |
76d61f95b2f041bdddabff067593ee2c7547499a | [
"from torch.nn import ModuleList\nfrom torch.nn import Conv2d\nsuper().__init__()\nassert feature_size != 0 and feature_size & feature_size - 1 == 0, 'latent size not a power of 2'\nif depth >= 4:\n assert feature_size >= np.power(2, depth - 4), 'feature size cannot be produced'\nself.depth = depth\nself.feature... | <|body_start_0|>
from torch.nn import ModuleList
from torch.nn import Conv2d
super().__init__()
assert feature_size != 0 and feature_size & feature_size - 1 == 0, 'latent size not a power of 2'
if depth >= 4:
assert feature_size >= np.power(2, depth - 4), 'feature siz... | Discriminator of the GAN | msg_stylegan2_lm_id_D | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class msg_stylegan2_lm_id_D:
"""Discriminator of the GAN"""
def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True):
"""constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the... | stack_v2_sparse_classes_36k_train_015407 | 14,685 | no_license | [
{
"docstring": "constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the deepest features extracted (Must be equal to Generator latent_size) :param dilation: amount of dilation to be applied to the 3x3 convolutional blocks o... | 4 | stack_v2_sparse_classes_30k_train_006474 | Implement the Python class `msg_stylegan2_lm_id_D` described below.
Class description:
Discriminator of the GAN
Method signatures and docstrings:
- def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True): constructor for the class :param depth: total depth of the discriminator (Must be equal... | Implement the Python class `msg_stylegan2_lm_id_D` described below.
Class description:
Discriminator of the GAN
Method signatures and docstrings:
- def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True): constructor for the class :param depth: total depth of the discriminator (Must be equal... | 428abe1fefe5ea4ef00290155e7e59657bc83444 | <|skeleton|>
class msg_stylegan2_lm_id_D:
"""Discriminator of the GAN"""
def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True):
"""constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class msg_stylegan2_lm_id_D:
"""Discriminator of the GAN"""
def __init__(self, depth=7, feature_size=512, dilation=1, use_spectral_norm=True):
"""constructor for the class :param depth: total depth of the discriminator (Must be equal to the Generator depth) :param feature_size: size of the deepest feat... | the_stack_v2_python_sparse | src/msg_stylegan2.py | blakecheng/lafin | train | 0 |
216b20ef272f010d5a78af6052b9a6016e3109fc | [
"super().__init__(config, args)\nif not config.has_section('inhouse'):\n logging.error('inhouse section missing in configuration file')\n sys.exit(1)\nif not config.has_option('inhouse', 'username'):\n logging.error('inouse section has not username field in configuration file')\n sys.exit(1)\nself._remo... | <|body_start_0|>
super().__init__(config, args)
if not config.has_section('inhouse'):
logging.error('inhouse section missing in configuration file')
sys.exit(1)
if not config.has_option('inhouse', 'username'):
logging.error('inouse section has not username fie... | Class to manage the execution of experiments on a remote server accessed through ssh Attributes ---------- _abs_root: str The absolute path containing the root of the library" Methods ------- run_experiment() Run the experiments on the remote server copy_list_to_target() Copy the file with the list of experiments to be... | Provider | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Provider:
"""Class to manage the execution of experiments on a remote server accessed through ssh Attributes ---------- _abs_root: str The absolute path containing the root of the library" Methods ------- run_experiment() Run the experiments on the remote server copy_list_to_target() Copy the fil... | stack_v2_sparse_classes_36k_train_015408 | 7,109 | permissive | [
{
"docstring": "Arguments --------- config: dict of str: dict of str: str The dictionary created from configuration file args The command line arguments parsed",
"name": "__init__",
"signature": "def __init__(self, config, args)"
},
{
"docstring": "Copy the list_file_name to target Parameters --... | 3 | stack_v2_sparse_classes_30k_train_004235 | Implement the Python class `Provider` described below.
Class description:
Class to manage the execution of experiments on a remote server accessed through ssh Attributes ---------- _abs_root: str The absolute path containing the root of the library" Methods ------- run_experiment() Run the experiments on the remote se... | Implement the Python class `Provider` described below.
Class description:
Class to manage the execution of experiments on a remote server accessed through ssh Attributes ---------- _abs_root: str The absolute path containing the root of the library" Methods ------- run_experiment() Run the experiments on the remote se... | 2332fb68247cad347f889c006028385fed4c5c93 | <|skeleton|>
class Provider:
"""Class to manage the execution of experiments on a remote server accessed through ssh Attributes ---------- _abs_root: str The absolute path containing the root of the library" Methods ------- run_experiment() Run the experiments on the remote server copy_list_to_target() Copy the fil... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Provider:
"""Class to manage the execution of experiments on a remote server accessed through ssh Attributes ---------- _abs_root: str The absolute path containing the root of the library" Methods ------- run_experiment() Run the experiments on the remote server copy_list_to_target() Copy the file with the li... | the_stack_v2_python_sparse | providers/inhouse.py | giovannidispoto/a-GPUBench | train | 0 |
7f4a2f60ea0ad967752870abea028f98b29fa970 | [
"if root is None:\n return '[]'\nnodes = [root]\ni = 0\nwhile i < len(nodes):\n if nodes[i]:\n nodes.append(nodes[i].left)\n nodes.append(nodes[i].right)\n i += 1\nwhile nodes[-1] is None:\n nodes.pop()\nreturn '[' + ','.join((str(node.val) if node else 'null' for node in nodes)) + ']'",
... | <|body_start_0|>
if root is None:
return '[]'
nodes = [root]
i = 0
while i < len(nodes):
if nodes[i]:
nodes.append(nodes[i].left)
nodes.append(nodes[i].right)
i += 1
while nodes[-1] is None:
nodes.pop... | Codec | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_015409 | 1,605 | permissive | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_017858 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 4ddea0a532fe7c5d053ffbd6870174ec99fc2d60 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root is None:
return '[]'
nodes = [root]
i = 0
while i < len(nodes):
if nodes[i]:
nodes.append(nodes[i].left)
... | the_stack_v2_python_sparse | 0201-0300/0297-Serialize and Deserialize Binary Tree/0297-Serialize and Deserialize Binary Tree.py | jiadaizhao/LeetCode | train | 52 | |
034a7b4150d2147a0339a36f51a3627a4bcf232e | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('jgrishey', 'jgrishey')\nclient = sodapy.Socrata('data.cityofboston.gov', dml.auth['services']['cityofbostondataportal']['token'])\nresponse = client.get('29yf-ye7n', limit=10000)\ncrimes = []\nID = 0\nfo... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('jgrishey', 'jgrishey')
client = sodapy.Socrata('data.cityofboston.gov', dml.auth['services']['cityofbostondataportal']['token'])
response = client... | getCrime | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class getCrime:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happ... | stack_v2_sparse_classes_36k_train_015410 | 3,719 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | stack_v2_sparse_classes_30k_train_018593 | Implement the Python class `getCrime` described below.
Class description:
Implement the getCrime class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=Non... | Implement the Python class `getCrime` described below.
Class description:
Implement the getCrime class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=Non... | 0df485d0469c5451ebdcd684bed2a0960ba3ab84 | <|skeleton|>
class getCrime:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class getCrime:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('jgrishey', 'jgrishey')
client = so... | the_stack_v2_python_sparse | jgrishey/getCrime.py | lingyigu/course-2017-spr-proj | train | 0 | |
f6d263115bdf9d3f83851e3fd401b389d7413cf7 | [
"if isinstance(element_or_cond, str):\n if element_or_cond not in STREAM_ERRORS:\n raise ValueError('Bad error condition')\nErrorElement.__init__(self, element_or_cond, text, language)",
"cond = self.condition_name\nif cond in STREAM_ERRORS:\n return STREAM_ERRORS[cond][0]\nelse:\n return None"
] | <|body_start_0|>
if isinstance(element_or_cond, str):
if element_or_cond not in STREAM_ERRORS:
raise ValueError('Bad error condition')
ErrorElement.__init__(self, element_or_cond, text, language)
<|end_body_0|>
<|body_start_1|>
cond = self.condition_name
if c... | Stream error element. | StreamErrorElement | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StreamErrorElement:
"""Stream error element."""
def __init__(self, element_or_cond, text=None, language=None):
"""Initialize an StreamErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an error condition name or element. - `text`: optional descri... | stack_v2_sparse_classes_36k_train_015411 | 16,456 | permissive | [
{
"docstring": "Initialize an StreamErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an error condition name or element. - `text`: optional description to override the default one - `language`: RFC 3066 language tag for the description :Types: - `element_or_cond`: :etree:... | 2 | null | Implement the Python class `StreamErrorElement` described below.
Class description:
Stream error element.
Method signatures and docstrings:
- def __init__(self, element_or_cond, text=None, language=None): Initialize an StreamErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an e... | Implement the Python class `StreamErrorElement` described below.
Class description:
Stream error element.
Method signatures and docstrings:
- def __init__(self, element_or_cond, text=None, language=None): Initialize an StreamErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an e... | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | <|skeleton|>
class StreamErrorElement:
"""Stream error element."""
def __init__(self, element_or_cond, text=None, language=None):
"""Initialize an StreamErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an error condition name or element. - `text`: optional descri... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StreamErrorElement:
"""Stream error element."""
def __init__(self, element_or_cond, text=None, language=None):
"""Initialize an StreamErrorElement object. :Parameters: - `element_or_cond`: XML <error/> element to decode or an error condition name or element. - `text`: optional description to over... | the_stack_v2_python_sparse | python3-alpha/python-libs/pyxmpp2/error.py | kuri65536/python-for-android | train | 280 |
7b17739a8ef79c19e0e2e4e0a5f8b5ee02f5b313 | [
"mes = {'message': 'success'}\nnow = datetime.datetime.now()\nd2 = {'hotel_group_id': hotel_group_id, 'creator': user_id, 'last_user': user_id, 'create_time': now, 'last_time': now}\napps = [update_dict(app, d2) for app in apps]\nwith db.atomic() as transaction:\n try:\n cls.insert_many(rows=apps)\n ex... | <|body_start_0|>
mes = {'message': 'success'}
now = datetime.datetime.now()
d2 = {'hotel_group_id': hotel_group_id, 'creator': user_id, 'last_user': user_id, 'create_time': now, 'last_time': now}
apps = [update_dict(app, d2) for app in apps]
with db.atomic() as transaction:
... | 集团可用的app | UsableApp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsableApp:
"""集团可用的app"""
def init_status(cls, user_id: int, hotel_group_id, apps: list) -> dict:
"""初始化/批量添加可用的app信息 :param user_id: :param hotel_group_id: :param apps: [{"app_id": app_id, "usable": usable},...] :return:"""
<|body_0|>
def add_record(cls, user_id: int, a... | stack_v2_sparse_classes_36k_train_015412 | 25,579 | no_license | [
{
"docstring": "初始化/批量添加可用的app信息 :param user_id: :param hotel_group_id: :param apps: [{\"app_id\": app_id, \"usable\": usable},...] :return:",
"name": "init_status",
"signature": "def init_status(cls, user_id: int, hotel_group_id, apps: list) -> dict"
},
{
"docstring": "添加一条app是否可用的记录 :param use... | 4 | stack_v2_sparse_classes_30k_train_000673 | Implement the Python class `UsableApp` described below.
Class description:
集团可用的app
Method signatures and docstrings:
- def init_status(cls, user_id: int, hotel_group_id, apps: list) -> dict: 初始化/批量添加可用的app信息 :param user_id: :param hotel_group_id: :param apps: [{"app_id": app_id, "usable": usable},...] :return:
- def... | Implement the Python class `UsableApp` described below.
Class description:
集团可用的app
Method signatures and docstrings:
- def init_status(cls, user_id: int, hotel_group_id, apps: list) -> dict: 初始化/批量添加可用的app信息 :param user_id: :param hotel_group_id: :param apps: [{"app_id": app_id, "usable": usable},...] :return:
- def... | 3a2bdfd1598bfcdfe56386ec0c46fcede772cbfe | <|skeleton|>
class UsableApp:
"""集团可用的app"""
def init_status(cls, user_id: int, hotel_group_id, apps: list) -> dict:
"""初始化/批量添加可用的app信息 :param user_id: :param hotel_group_id: :param apps: [{"app_id": app_id, "usable": usable},...] :return:"""
<|body_0|>
def add_record(cls, user_id: int, a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UsableApp:
"""集团可用的app"""
def init_status(cls, user_id: int, hotel_group_id, apps: list) -> dict:
"""初始化/批量添加可用的app信息 :param user_id: :param hotel_group_id: :param apps: [{"app_id": app_id, "usable": usable},...] :return:"""
mes = {'message': 'success'}
now = datetime.datetime.now... | the_stack_v2_python_sparse | NewISpider/authorization_package/permission_module.py | SYYDSN/py_projects | train | 0 |
5f9a2d3ef5b9561c2fbb42c39a7df0cee48b358c | [
"for fieldname in fieldnames:\n field = form_.fields[fieldname]\n data = field.widget.value_from_datadict(form_.data, form_.files, form_.add_prefix(fieldname))\n try:\n if not hasattr(form_, 'cleaned_data'):\n form_.cleaned_data = {}\n form_.cleaned_data[fieldname] = field.clean(da... | <|body_start_0|>
for fieldname in fieldnames:
field = form_.fields[fieldname]
data = field.widget.value_from_datadict(form_.data, form_.files, form_.add_prefix(fieldname))
try:
if not hasattr(form_, 'cleaned_data'):
form_.cleaned_data = {}
... | Mise à jour d'un objet de type Model avec certains champs d'un ModelForm Monkey-patching done in scoop.core.__init__ Le monkey patch se fait sur la classe django.db.models.Model - instance : objet dérivé de models.Model - form : objet de type forms.ModelForm dont la classe ciblée est celle de instance - fieldnames : li... | ModelFormUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelFormUtil:
"""Mise à jour d'un objet de type Model avec certains champs d'un ModelForm Monkey-patching done in scoop.core.__init__ Le monkey patch se fait sur la classe django.db.models.Model - instance : objet dérivé de models.Model - form : objet de type forms.ModelForm dont la classe ciblé... | stack_v2_sparse_classes_36k_train_015413 | 10,808 | no_license | [
{
"docstring": "Renvoyer si un champ d'un formulaire est valide",
"name": "is_field_valid",
"signature": "def is_field_valid(form_, fieldnames)"
},
{
"docstring": "Mettre à jour les champs de l'objet selon l'état d'un formulaire - La validation ne se fait que sur les champs sélectionnés et valid... | 2 | stack_v2_sparse_classes_30k_train_010061 | Implement the Python class `ModelFormUtil` described below.
Class description:
Mise à jour d'un objet de type Model avec certains champs d'un ModelForm Monkey-patching done in scoop.core.__init__ Le monkey patch se fait sur la classe django.db.models.Model - instance : objet dérivé de models.Model - form : objet de ty... | Implement the Python class `ModelFormUtil` described below.
Class description:
Mise à jour d'un objet de type Model avec certains champs d'un ModelForm Monkey-patching done in scoop.core.__init__ Le monkey patch se fait sur la classe django.db.models.Model - instance : objet dérivé de models.Model - form : objet de ty... | 8cef6f6e89c1990e2b25f83e54e0c3481d83b6d7 | <|skeleton|>
class ModelFormUtil:
"""Mise à jour d'un objet de type Model avec certains champs d'un ModelForm Monkey-patching done in scoop.core.__init__ Le monkey patch se fait sur la classe django.db.models.Model - instance : objet dérivé de models.Model - form : objet de type forms.ModelForm dont la classe ciblé... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModelFormUtil:
"""Mise à jour d'un objet de type Model avec certains champs d'un ModelForm Monkey-patching done in scoop.core.__init__ Le monkey patch se fait sur la classe django.db.models.Model - instance : objet dérivé de models.Model - form : objet de type forms.ModelForm dont la classe ciblée est celle d... | the_stack_v2_python_sparse | scoop/core/util/django/forms.py | artscoop/scoop | train | 0 |
7a8cc6a1a2d70ded49996b9e5700b1b0ecab984b | [
"self.code = code\nself.id = id\nself.is_system_defined = is_system_defined\nself.jar_name = jar_name\nself.jar_path = jar_path\nself.language = language\nself.name = name",
"if dictionary is None:\n return None\ncode = dictionary.get('code')\nid = dictionary.get('id')\nis_system_defined = dictionary.get('isSy... | <|body_start_0|>
self.code = code
self.id = id
self.is_system_defined = is_system_defined
self.jar_name = jar_name
self.jar_path = jar_path
self.language = language
self.name = name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return... | Implementation of the 'MapperInfo' model. TODO: type description here. Attributes: code (string): The code of the mapper in the specified language. Should be UTF-8. id (long|int): Mapper ID generated by system. Absent when user is creating a new mapper. Mandatory in all other use cases. is_system_defined (bool): Whethe... | MapperInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MapperInfo:
"""Implementation of the 'MapperInfo' model. TODO: type description here. Attributes: code (string): The code of the mapper in the specified language. Should be UTF-8. id (long|int): Mapper ID generated by system. Absent when user is creating a new mapper. Mandatory in all other use c... | stack_v2_sparse_classes_36k_train_015414 | 2,938 | permissive | [
{
"docstring": "Constructor for the MapperInfo class",
"name": "__init__",
"signature": "def __init__(self, code=None, id=None, is_system_defined=None, jar_name=None, jar_path=None, language=None, name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary... | 2 | null | Implement the Python class `MapperInfo` described below.
Class description:
Implementation of the 'MapperInfo' model. TODO: type description here. Attributes: code (string): The code of the mapper in the specified language. Should be UTF-8. id (long|int): Mapper ID generated by system. Absent when user is creating a n... | Implement the Python class `MapperInfo` described below.
Class description:
Implementation of the 'MapperInfo' model. TODO: type description here. Attributes: code (string): The code of the mapper in the specified language. Should be UTF-8. id (long|int): Mapper ID generated by system. Absent when user is creating a n... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class MapperInfo:
"""Implementation of the 'MapperInfo' model. TODO: type description here. Attributes: code (string): The code of the mapper in the specified language. Should be UTF-8. id (long|int): Mapper ID generated by system. Absent when user is creating a new mapper. Mandatory in all other use c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MapperInfo:
"""Implementation of the 'MapperInfo' model. TODO: type description here. Attributes: code (string): The code of the mapper in the specified language. Should be UTF-8. id (long|int): Mapper ID generated by system. Absent when user is creating a new mapper. Mandatory in all other use cases. is_syst... | the_stack_v2_python_sparse | cohesity_management_sdk/models/mapper_info.py | cohesity/management-sdk-python | train | 24 |
10b25eea5c9846c891d6a2c90ef760a898dd666d | [
"loc = {}\nloc['FOO'] = 'foo'\nloc['BAR'] = SCons.Util.CLVar('bar')\nloc['CALL'] = lambda target, source, env, for_signature: 'call'\nenv = DummyEnv(loc)\ncmd = SCons.Util.CLVar('test $FOO $BAR $CALL test')\nnewcmd = scons_subst(cmd, env, gvars=env.Dictionary())\nassert newcmd == ['test', 'foo', 'bar', 'call', 'tes... | <|body_start_0|>
loc = {}
loc['FOO'] = 'foo'
loc['BAR'] = SCons.Util.CLVar('bar')
loc['CALL'] = lambda target, source, env, for_signature: 'call'
env = DummyEnv(loc)
cmd = SCons.Util.CLVar('test $FOO $BAR $CALL test')
newcmd = scons_subst(cmd, env, gvars=env.Dicti... | CLVar_TestCase | [
"MIT",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CLVar_TestCase:
def test_CLVar(self) -> None:
"""Test scons_subst() and scons_subst_list() with CLVar objects"""
<|body_0|>
def test_subst_overriding_lvars_overrides(self) -> None:
"""Test that optional passed arg overrides overrides gvars, and existing lvars."""
... | stack_v2_sparse_classes_36k_train_015415 | 47,375 | permissive | [
{
"docstring": "Test scons_subst() and scons_subst_list() with CLVar objects",
"name": "test_CLVar",
"signature": "def test_CLVar(self) -> None"
},
{
"docstring": "Test that optional passed arg overrides overrides gvars, and existing lvars.",
"name": "test_subst_overriding_lvars_overrides",
... | 2 | null | Implement the Python class `CLVar_TestCase` described below.
Class description:
Implement the CLVar_TestCase class.
Method signatures and docstrings:
- def test_CLVar(self) -> None: Test scons_subst() and scons_subst_list() with CLVar objects
- def test_subst_overriding_lvars_overrides(self) -> None: Test that option... | Implement the Python class `CLVar_TestCase` described below.
Class description:
Implement the CLVar_TestCase class.
Method signatures and docstrings:
- def test_CLVar(self) -> None: Test scons_subst() and scons_subst_list() with CLVar objects
- def test_subst_overriding_lvars_overrides(self) -> None: Test that option... | b2a7d7066a2b854460a334a5fe737ea389655e6e | <|skeleton|>
class CLVar_TestCase:
def test_CLVar(self) -> None:
"""Test scons_subst() and scons_subst_list() with CLVar objects"""
<|body_0|>
def test_subst_overriding_lvars_overrides(self) -> None:
"""Test that optional passed arg overrides overrides gvars, and existing lvars."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CLVar_TestCase:
def test_CLVar(self) -> None:
"""Test scons_subst() and scons_subst_list() with CLVar objects"""
loc = {}
loc['FOO'] = 'foo'
loc['BAR'] = SCons.Util.CLVar('bar')
loc['CALL'] = lambda target, source, env, for_signature: 'call'
env = DummyEnv(loc)
... | the_stack_v2_python_sparse | SCons/SubstTests.py | SCons/scons | train | 1,827 | |
959c5ba910b87b05bc1cdf67bfbd126391f5caaf | [
"super().__init__()\nself.input_channel_size = input_channels\nself.output_channel_size = output_channels\nself.num_nodes = num_nodes\nGraphConv.global_count += 1\nself.name = name if name else 'Graph_{}'.format(GraphConv.global_count)\nvalue = math.sqrt(6 / (input_channels + output_channels))\nmat_weights = []\nid... | <|body_start_0|>
super().__init__()
self.input_channel_size = input_channels
self.output_channel_size = output_channels
self.num_nodes = num_nodes
GraphConv.global_count += 1
self.name = name if name else 'Graph_{}'.format(GraphConv.global_count)
value = math.sqrt... | Graph Conv layer. See: https://arxiv.org/abs/1609.02907 | GraphConv | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GraphConv:
"""Graph Conv layer. See: https://arxiv.org/abs/1609.02907"""
def __init__(self, input_channels, output_channels, num_nodes, bias=True, activation=lbann.Relu, name=None):
"""Initialize Graph layer Args: input_channels (int): The size of the input node features output_chann... | stack_v2_sparse_classes_36k_train_015416 | 4,744 | permissive | [
{
"docstring": "Initialize Graph layer Args: input_channels (int): The size of the input node features output_channels (int): The output size of the node features num_nodes (int): Number of vertices in the graph bias (bool): Whether to apply biases after weights transform activation (type): Activation layer for... | 2 | stack_v2_sparse_classes_30k_train_020318 | Implement the Python class `GraphConv` described below.
Class description:
Graph Conv layer. See: https://arxiv.org/abs/1609.02907
Method signatures and docstrings:
- def __init__(self, input_channels, output_channels, num_nodes, bias=True, activation=lbann.Relu, name=None): Initialize Graph layer Args: input_channel... | Implement the Python class `GraphConv` described below.
Class description:
Graph Conv layer. See: https://arxiv.org/abs/1609.02907
Method signatures and docstrings:
- def __init__(self, input_channels, output_channels, num_nodes, bias=True, activation=lbann.Relu, name=None): Initialize Graph layer Args: input_channel... | e8cf85eed2acbd3383892bf7cb2d88b44c194f4f | <|skeleton|>
class GraphConv:
"""Graph Conv layer. See: https://arxiv.org/abs/1609.02907"""
def __init__(self, input_channels, output_channels, num_nodes, bias=True, activation=lbann.Relu, name=None):
"""Initialize Graph layer Args: input_channels (int): The size of the input node features output_chann... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GraphConv:
"""Graph Conv layer. See: https://arxiv.org/abs/1609.02907"""
def __init__(self, input_channels, output_channels, num_nodes, bias=True, activation=lbann.Relu, name=None):
"""Initialize Graph layer Args: input_channels (int): The size of the input node features output_channels (int): Th... | the_stack_v2_python_sparse | python/lbann/modules/graph/sparse/GraphConv.py | LLNL/lbann | train | 225 |
945a4b093259cdad37747481dee12ada7cef3f37 | [
"self._amount = amount\nself._user = user\nself._fund = FundModel.find_by_id(fund_id)",
"if self._amount <= 0:\n return DonationResult.STINGY\nif self._fund is None:\n return DonationResult.LIAR\ntry:\n if UserStateModel.withdraw(user=self._user, amount=self._amount):\n EventModel.from_event(Donat... | <|body_start_0|>
self._amount = amount
self._user = user
self._fund = FundModel.find_by_id(fund_id)
<|end_body_0|>
<|body_start_1|>
if self._amount <= 0:
return DonationResult.STINGY
if self._fund is None:
return DonationResult.LIAR
try:
... | Class hides mildly complex donation logic from cruel outer world. | DonationsService | [
"LicenseRef-scancode-proprietary-license",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DonationsService:
"""Class hides mildly complex donation logic from cruel outer world."""
def __init__(self, user: User, fund_id: str, amount: Decimal) -> None:
"""Constructor. :param user: Current user :type user: User"""
<|body_0|>
def donate(self) -> DonationResult:
... | stack_v2_sparse_classes_36k_train_015417 | 6,001 | permissive | [
{
"docstring": "Constructor. :param user: Current user :type user: User",
"name": "__init__",
"signature": "def __init__(self, user: User, fund_id: str, amount: Decimal) -> None"
},
{
"docstring": "Perform a donation process: - check if there is enough active money to spare - check if fund exist... | 2 | stack_v2_sparse_classes_30k_train_008727 | Implement the Python class `DonationsService` described below.
Class description:
Class hides mildly complex donation logic from cruel outer world.
Method signatures and docstrings:
- def __init__(self, user: User, fund_id: str, amount: Decimal) -> None: Constructor. :param user: Current user :type user: User
- def d... | Implement the Python class `DonationsService` described below.
Class description:
Class hides mildly complex donation logic from cruel outer world.
Method signatures and docstrings:
- def __init__(self, user: User, fund_id: str, amount: Decimal) -> None: Constructor. :param user: Current user :type user: User
- def d... | dd89a1fdacc322a43090169aae9e36f03f1b55c2 | <|skeleton|>
class DonationsService:
"""Class hides mildly complex donation logic from cruel outer world."""
def __init__(self, user: User, fund_id: str, amount: Decimal) -> None:
"""Constructor. :param user: Current user :type user: User"""
<|body_0|>
def donate(self) -> DonationResult:
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DonationsService:
"""Class hides mildly complex donation logic from cruel outer world."""
def __init__(self, user: User, fund_id: str, amount: Decimal) -> None:
"""Constructor. :param user: Current user :type user: User"""
self._amount = amount
self._user = user
self._fund... | the_stack_v2_python_sparse | vulyk/blueprints/gamification/services.py | mrgambal/vulyk | train | 34 |
055c378caf94fdbca13f438c013da44397d8d14e | [
"self.parser = argparse.ArgumentParser()\nself.parser.add_argument('-ncep', '--ncep_trkr_filename', help='The path to the file containing the NCEP TC tracker output (fort.64).', default=None)\nself.parser.add_argument('-tcv', '--tcv_filename', help='The path to the file containing the TC-vitals.', default=None)\nse... | <|body_start_0|>
self.parser = argparse.ArgumentParser()
self.parser.add_argument('-ncep', '--ncep_trkr_filename', help='The path to the file containing the NCEP TC tracker output (fort.64).', default=None)
self.parser.add_argument('-tcv', '--tcv_filename', help='The path to the file containing ... | DESCRIPTION: This is the base-class object used to collect command line arguments provided by the user. | ObsPreProcTCVOptions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObsPreProcTCVOptions:
"""DESCRIPTION: This is the base-class object used to collect command line arguments provided by the user."""
def __init__(self):
"""DESCRIPTION: Creates a new ObsPreProcTCVOptions object."""
<|body_0|>
def run(self):
"""DESCRIPTION: This me... | stack_v2_sparse_classes_36k_train_015418 | 17,469 | no_license | [
{
"docstring": "DESCRIPTION: Creates a new ObsPreProcTCVOptions object.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "DESCRIPTION: This method collects the user-specified command-line arguments; the available command line arguments are as follows: -ncep; The path to ... | 2 | stack_v2_sparse_classes_30k_train_019413 | Implement the Python class `ObsPreProcTCVOptions` described below.
Class description:
DESCRIPTION: This is the base-class object used to collect command line arguments provided by the user.
Method signatures and docstrings:
- def __init__(self): DESCRIPTION: Creates a new ObsPreProcTCVOptions object.
- def run(self):... | Implement the Python class `ObsPreProcTCVOptions` described below.
Class description:
DESCRIPTION: This is the base-class object used to collect command line arguments provided by the user.
Method signatures and docstrings:
- def __init__(self): DESCRIPTION: Creates a new ObsPreProcTCVOptions object.
- def run(self):... | cba6b3649eb7a25bb8be392db1901f47d3287c93 | <|skeleton|>
class ObsPreProcTCVOptions:
"""DESCRIPTION: This is the base-class object used to collect command line arguments provided by the user."""
def __init__(self):
"""DESCRIPTION: Creates a new ObsPreProcTCVOptions object."""
<|body_0|>
def run(self):
"""DESCRIPTION: This me... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ObsPreProcTCVOptions:
"""DESCRIPTION: This is the base-class object used to collect command line arguments provided by the user."""
def __init__(self):
"""DESCRIPTION: Creates a new ObsPreProcTCVOptions object."""
self.parser = argparse.ArgumentParser()
self.parser.add_argument('-... | the_stack_v2_python_sparse | ush/hafs_opptcv_format.py | hafs-community/HAFS | train | 22 |
caf54cd1807dcacbf822584c08e45d9933187b6e | [
"if n == 1:\n return 1\nfirst, second = (1, 2)\nfor i in range(3, n + 1):\n third = first + second\n first = second\n second = third\nreturn second",
"cache = {0: 1, 1: 1}\nfor i in range(2, n + 1):\n cache[i] = cache[i - 1] + cache[i - 2]\nreturn cache[n]",
"if n in self.cache:\n return self.... | <|body_start_0|>
if n == 1:
return 1
first, second = (1, 2)
for i in range(3, n + 1):
third = first + second
first = second
second = third
return second
<|end_body_0|>
<|body_start_1|>
cache = {0: 1, 1: 1}
for i in range(2,... | ClimbingStairs | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClimbingStairs:
def total_ways(self, n: int) -> int:
"""Approach: Fibonacci Number Time Complexity: O(N) Space Complexity: O(1) :param n: :param int: :return:"""
<|body_0|>
def total_ways_(self, n: int) -> int:
"""Approach: DP Time Complexity: O(N) Space Complexity: ... | stack_v2_sparse_classes_36k_train_015419 | 1,757 | no_license | [
{
"docstring": "Approach: Fibonacci Number Time Complexity: O(N) Space Complexity: O(1) :param n: :param int: :return:",
"name": "total_ways",
"signature": "def total_ways(self, n: int) -> int"
},
{
"docstring": "Approach: DP Time Complexity: O(N) Space Complexity: O(N) :param n: :return:",
... | 4 | stack_v2_sparse_classes_30k_train_018202 | Implement the Python class `ClimbingStairs` described below.
Class description:
Implement the ClimbingStairs class.
Method signatures and docstrings:
- def total_ways(self, n: int) -> int: Approach: Fibonacci Number Time Complexity: O(N) Space Complexity: O(1) :param n: :param int: :return:
- def total_ways_(self, n:... | Implement the Python class `ClimbingStairs` described below.
Class description:
Implement the ClimbingStairs class.
Method signatures and docstrings:
- def total_ways(self, n: int) -> int: Approach: Fibonacci Number Time Complexity: O(N) Space Complexity: O(1) :param n: :param int: :return:
- def total_ways_(self, n:... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class ClimbingStairs:
def total_ways(self, n: int) -> int:
"""Approach: Fibonacci Number Time Complexity: O(N) Space Complexity: O(1) :param n: :param int: :return:"""
<|body_0|>
def total_ways_(self, n: int) -> int:
"""Approach: DP Time Complexity: O(N) Space Complexity: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClimbingStairs:
def total_ways(self, n: int) -> int:
"""Approach: Fibonacci Number Time Complexity: O(N) Space Complexity: O(1) :param n: :param int: :return:"""
if n == 1:
return 1
first, second = (1, 2)
for i in range(3, n + 1):
third = first + second
... | the_stack_v2_python_sparse | revisited_2021/dp/climbing_stairs.py | Shiv2157k/leet_code | train | 1 | |
4eac0a204bd080ba3e8750fdec61c4a335dd1f1c | [
"if self.state_model.op_state in [DevState.FAULT, DevState.UNKNOWN]:\n tango.Except.throw_exception(f'Command TelescopeOn is not allowed in current state {self.state_model.op_state}.', 'Failed to invoke On command on CspMasterLeafNode.', 'CspMasterLeafNode.TelescopeOn()', tango.ErrSeverity.ERR)\nreturn True",
... | <|body_start_0|>
if self.state_model.op_state in [DevState.FAULT, DevState.UNKNOWN]:
tango.Except.throw_exception(f'Command TelescopeOn is not allowed in current state {self.state_model.op_state}.', 'Failed to invoke On command on CspMasterLeafNode.', 'CspMasterLeafNode.TelescopeOn()', tango.ErrSeve... | A class for CspMasterLeafNode's TelescopeOn() command. On command is inherited from BaseCommand. It Sets the State to On. | TelescopeOn | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TelescopeOn:
"""A class for CspMasterLeafNode's TelescopeOn() command. On command is inherited from BaseCommand. It Sets the State to On."""
def check_allowed(self):
"""Checks whether this command is allowed to be run in current device state :return: True if this command is allowed t... | stack_v2_sparse_classes_36k_train_015420 | 4,504 | permissive | [
{
"docstring": "Checks whether this command is allowed to be run in current device state :return: True if this command is allowed to be run in current device state :rtype: boolean :raises: DevFailed if this command is not allowed to be run in current device state",
"name": "check_allowed",
"signature": ... | 3 | stack_v2_sparse_classes_30k_train_017791 | Implement the Python class `TelescopeOn` described below.
Class description:
A class for CspMasterLeafNode's TelescopeOn() command. On command is inherited from BaseCommand. It Sets the State to On.
Method signatures and docstrings:
- def check_allowed(self): Checks whether this command is allowed to be run in curren... | Implement the Python class `TelescopeOn` described below.
Class description:
A class for CspMasterLeafNode's TelescopeOn() command. On command is inherited from BaseCommand. It Sets the State to On.
Method signatures and docstrings:
- def check_allowed(self): Checks whether this command is allowed to be run in curren... | 7ee65a9c8dada9b28893144b372a398bd0646195 | <|skeleton|>
class TelescopeOn:
"""A class for CspMasterLeafNode's TelescopeOn() command. On command is inherited from BaseCommand. It Sets the State to On."""
def check_allowed(self):
"""Checks whether this command is allowed to be run in current device state :return: True if this command is allowed t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TelescopeOn:
"""A class for CspMasterLeafNode's TelescopeOn() command. On command is inherited from BaseCommand. It Sets the State to On."""
def check_allowed(self):
"""Checks whether this command is allowed to be run in current device state :return: True if this command is allowed to be run in c... | the_stack_v2_python_sparse | temp_src/ska_tmc_cspmasterleafnode_mid/telescope_on_command.py | ska-telescope/tmc-prototype | train | 4 |
3ba98098466b472909ac637a0b4118f66025cc13 | [
"log.info('[%s] Message Instance Created' % subject)\nself._subject = subject\nmsg = message.EmailMessage(subject=subject, body=body, from_email='zk_monitor', to=[email], connection=conn)\nmsg.send(callback=self._alertSent)",
"if state == 1:\n log.info('[%s] Message Sent Successfully!' % self._subject)\n re... | <|body_start_0|>
log.info('[%s] Message Instance Created' % subject)
self._subject = subject
msg = message.EmailMessage(subject=subject, body=body, from_email='zk_monitor', to=[email], connection=conn)
msg.send(callback=self._alertSent)
<|end_body_0|>
<|body_start_1|>
if state =... | A single Email Alert. | EmailAlert | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailAlert:
"""A single Email Alert."""
def __init__(self, subject, body, email, conn):
"""Simple object for sending and tracking an email. args: subject: Subject of the message body: Body of the email email: Email Address to send to conn: smtp.EmailBackend instance"""
<|body... | stack_v2_sparse_classes_36k_train_015421 | 4,661 | no_license | [
{
"docstring": "Simple object for sending and tracking an email. args: subject: Subject of the message body: Body of the email email: Email Address to send to conn: smtp.EmailBackend instance",
"name": "__init__",
"signature": "def __init__(self, subject, body, email, conn)"
},
{
"docstring": "S... | 2 | stack_v2_sparse_classes_30k_train_003637 | Implement the Python class `EmailAlert` described below.
Class description:
A single Email Alert.
Method signatures and docstrings:
- def __init__(self, subject, body, email, conn): Simple object for sending and tracking an email. args: subject: Subject of the message body: Body of the email email: Email Address to s... | Implement the Python class `EmailAlert` described below.
Class description:
A single Email Alert.
Method signatures and docstrings:
- def __init__(self, subject, body, email, conn): Simple object for sending and tracking an email. args: subject: Subject of the message body: Body of the email email: Email Address to s... | d33720eeec274396435896ed4fb1c71025344fc1 | <|skeleton|>
class EmailAlert:
"""A single Email Alert."""
def __init__(self, subject, body, email, conn):
"""Simple object for sending and tracking an email. args: subject: Subject of the message body: Body of the email email: Email Address to send to conn: smtp.EmailBackend instance"""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmailAlert:
"""A single Email Alert."""
def __init__(self, subject, body, email, conn):
"""Simple object for sending and tracking an email. args: subject: Subject of the message body: Body of the email email: Email Address to send to conn: smtp.EmailBackend instance"""
log.info('[%s] Mess... | the_stack_v2_python_sparse | zk_monitor/alerts/email.py | Nextdoor/zkmonitor | train | 4 |
defe92c87bd701d77f25c3500aa5d6adb669e92b | [
"self.displays = None\nself.username = None\nself.password = None\nself.tenant = None",
"app = self.hass.data.get(DATA_TOON_CONFIG, {})\nif not app:\n return self.async_abort(reason='no_app')\nreturn await self.async_step_authenticate(user_input)",
"fields = OrderedDict()\nfields[vol.Required(CONF_USERNAME)]... | <|body_start_0|>
self.displays = None
self.username = None
self.password = None
self.tenant = None
<|end_body_0|>
<|body_start_1|>
app = self.hass.data.get(DATA_TOON_CONFIG, {})
if not app:
return self.async_abort(reason='no_app')
return await self.as... | Handle a Toon config flow. | ToonFlowHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ToonFlowHandler:
"""Handle a Toon config flow."""
def __init__(self):
"""Initialize the Toon flow."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle a flow initiated by the user."""
<|body_1|>
async def _show_authenticaticate_... | stack_v2_sparse_classes_36k_train_015422 | 5,377 | permissive | [
{
"docstring": "Initialize the Toon flow.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Handle a flow initiated by the user.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input=None)"
},
{
"docstring": "Show the authe... | 6 | null | Implement the Python class `ToonFlowHandler` described below.
Class description:
Handle a Toon config flow.
Method signatures and docstrings:
- def __init__(self): Initialize the Toon flow.
- async def async_step_user(self, user_input=None): Handle a flow initiated by the user.
- async def _show_authenticaticate_form... | Implement the Python class `ToonFlowHandler` described below.
Class description:
Handle a Toon config flow.
Method signatures and docstrings:
- def __init__(self): Initialize the Toon flow.
- async def async_step_user(self, user_input=None): Handle a flow initiated by the user.
- async def _show_authenticaticate_form... | 6e414983738d9495eb9e4f858e3e98e9e38869db | <|skeleton|>
class ToonFlowHandler:
"""Handle a Toon config flow."""
def __init__(self):
"""Initialize the Toon flow."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle a flow initiated by the user."""
<|body_1|>
async def _show_authenticaticate_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ToonFlowHandler:
"""Handle a Toon config flow."""
def __init__(self):
"""Initialize the Toon flow."""
self.displays = None
self.username = None
self.password = None
self.tenant = None
async def async_step_user(self, user_input=None):
"""Handle a flow i... | the_stack_v2_python_sparse | homeassistant/components/toon/config_flow.py | Watemlifts/home-assistant | train | 4 |
d07d3761c9b8b37d3c8762b32863e604f340e615 | [
"if time_format is None:\n time_format = _TIME_FORMAT\nvalidator.check_paramType_str(time_format)\nif timestamp is None:\n return datetime.datetime.now().strftime(time_format)\nvalidator.check_paramType_int(timestamp)\nlocal_time = time.localtime(timestamp)\ntime_data = time.strftime(time_format, local_time)\... | <|body_start_0|>
if time_format is None:
time_format = _TIME_FORMAT
validator.check_paramType_str(time_format)
if timestamp is None:
return datetime.datetime.now().strftime(time_format)
validator.check_paramType_int(timestamp)
local_time = time.localtime(t... | TimeHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TimeHelper:
def get_time_from_timestamp(timestamp=None, time_format=None):
"""功能：将一个时间戳转为指定时间格式的时间，默认转为的时间格式为：%Y-%m-%d %H:%M:%S 场景1：获取当前时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp() 场景2：获取当前时间，时间格式为：%H:%M:%S get_time_from_timestamp(time_format="%H:%M:%S") 场景3：根据指定时间戳来获取时间，时间格式为：%Y... | stack_v2_sparse_classes_36k_train_015423 | 31,475 | no_license | [
{
"docstring": "功能：将一个时间戳转为指定时间格式的时间，默认转为的时间格式为：%Y-%m-%d %H:%M:%S 场景1：获取当前时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp() 场景2：获取当前时间，时间格式为：%H:%M:%S get_time_from_timestamp(time_format=\"%H:%M:%S\") 场景3：根据指定时间戳来获取时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp(timestamp=1569850832) :param timestamp: 待转换为... | 4 | null | Implement the Python class `TimeHelper` described below.
Class description:
Implement the TimeHelper class.
Method signatures and docstrings:
- def get_time_from_timestamp(timestamp=None, time_format=None): 功能：将一个时间戳转为指定时间格式的时间，默认转为的时间格式为：%Y-%m-%d %H:%M:%S 场景1：获取当前时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp() ... | Implement the Python class `TimeHelper` described below.
Class description:
Implement the TimeHelper class.
Method signatures and docstrings:
- def get_time_from_timestamp(timestamp=None, time_format=None): 功能：将一个时间戳转为指定时间格式的时间，默认转为的时间格式为：%Y-%m-%d %H:%M:%S 场景1：获取当前时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp() ... | 543b1e0a567bd7094875ef8f26212c16a4378bde | <|skeleton|>
class TimeHelper:
def get_time_from_timestamp(timestamp=None, time_format=None):
"""功能：将一个时间戳转为指定时间格式的时间，默认转为的时间格式为：%Y-%m-%d %H:%M:%S 场景1：获取当前时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp() 场景2：获取当前时间，时间格式为：%H:%M:%S get_time_from_timestamp(time_format="%H:%M:%S") 场景3：根据指定时间戳来获取时间，时间格式为：%Y... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TimeHelper:
def get_time_from_timestamp(timestamp=None, time_format=None):
"""功能：将一个时间戳转为指定时间格式的时间，默认转为的时间格式为：%Y-%m-%d %H:%M:%S 场景1：获取当前时间，时间格式为：%Y-%m-%d %H:%M:%S get_time_from_timestamp() 场景2：获取当前时间，时间格式为：%H:%M:%S get_time_from_timestamp(time_format="%H:%M:%S") 场景3：根据指定时间戳来获取时间，时间格式为：%Y-%m-%d %H:%M:%... | the_stack_v2_python_sparse | 接口/Data/Report_Data/base/helper.py | CHENMO12/MyGithub | train | 0 | |
683e5ac7a23a76c3996b3ef8dec3a4db88f001a3 | [
"branch_weight = perceptron_table.perceptron[address]\nglobal_history = global_hr.global_history\ntheta = len(global_history) * 2 + 20\nif weight * yi < 0 or abs(weight) < theta:\n for i in range(len(branch_weight)):\n branch_weight[i] += yi * global_history[i]",
"weight = 0.0\nbranch_weight = perceptro... | <|body_start_0|>
branch_weight = perceptron_table.perceptron[address]
global_history = global_hr.global_history
theta = len(global_history) * 2 + 20
if weight * yi < 0 or abs(weight) < theta:
for i in range(len(branch_weight)):
branch_weight[i] += yi * global_... | Perceptron | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Perceptron:
def train(self, address, weight, yi, perceptron_table, global_hr):
"""According to the definition of perceptron, we update our f(x) model if f(x)*yi is less than 0 for each trace. While if f(x) is too small, it also need update. :param address: int PC address :param weight: f... | stack_v2_sparse_classes_36k_train_015424 | 2,941 | no_license | [
{
"docstring": "According to the definition of perceptron, we update our f(x) model if f(x)*yi is less than 0 for each trace. While if f(x) is too small, it also need update. :param address: int PC address :param weight: float random set at first, and update it base on wx>0? :param yi: int previous branch resul... | 3 | stack_v2_sparse_classes_30k_train_009402 | Implement the Python class `Perceptron` described below.
Class description:
Implement the Perceptron class.
Method signatures and docstrings:
- def train(self, address, weight, yi, perceptron_table, global_hr): According to the definition of perceptron, we update our f(x) model if f(x)*yi is less than 0 for each trac... | Implement the Python class `Perceptron` described below.
Class description:
Implement the Perceptron class.
Method signatures and docstrings:
- def train(self, address, weight, yi, perceptron_table, global_hr): According to the definition of perceptron, we update our f(x) model if f(x)*yi is less than 0 for each trac... | 2711bc08f15266bec4ca135e8e3e629df46713eb | <|skeleton|>
class Perceptron:
def train(self, address, weight, yi, perceptron_table, global_hr):
"""According to the definition of perceptron, we update our f(x) model if f(x)*yi is less than 0 for each trace. While if f(x) is too small, it also need update. :param address: int PC address :param weight: f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Perceptron:
def train(self, address, weight, yi, perceptron_table, global_hr):
"""According to the definition of perceptron, we update our f(x) model if f(x)*yi is less than 0 for each trace. While if f(x) is too small, it also need update. :param address: int PC address :param weight: float random se... | the_stack_v2_python_sparse | 6.基于机器学习的CPU分支预测/Perceptron.py | unlimitediw/CheckCode | train | 0 | |
9d1d6d65fc9a6e820e3a2a29b77e8a809384eb37 | [
"self.root = root\nself.checksum = checksum\nself._verify()\nsuper().__init__(root, crs, res, transforms=transforms, cache=cache)",
"pathname = os.path.join(self.root, self.filename_glob)\nif glob.glob(pathname):\n return\npathname = os.path.join(self.root, self.zipfile_glob)\nif glob.glob(pathname):\n for ... | <|body_start_0|>
self.root = root
self.checksum = checksum
self._verify()
super().__init__(root, crs, res, transforms=transforms, cache=cache)
<|end_body_0|>
<|body_start_1|>
pathname = os.path.join(self.root, self.filename_glob)
if glob.glob(pathname):
retur... | European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM <https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1?tab=mapview>`__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downloaded from this `website <https://land.copernicus.eu/imagery-in-situ/eu-... | EUDEM | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EUDEM:
"""European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM <https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1?tab=mapview>`__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downloaded from this `website <https://land.... | stack_v2_sparse_classes_36k_train_015425 | 7,256 | permissive | [
{
"docstring": "Initialize a new Dataset instance. Args: root: root directory where dataset can be found, here the collection of individual zip files for each tile should be found crs: :term:`coordinate reference system (CRS)` to warp to (defaults to the CRS of the first file found) res: resolution of the datas... | 3 | null | Implement the Python class `EUDEM` described below.
Class description:
European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM <https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1?tab=mapview>`__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downl... | Implement the Python class `EUDEM` described below.
Class description:
European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM <https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1?tab=mapview>`__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downl... | 29985861614b3b93f9ef5389469ebb98570de7dd | <|skeleton|>
class EUDEM:
"""European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM <https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1?tab=mapview>`__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downloaded from this `website <https://land.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EUDEM:
"""European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM <https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1?tab=mapview>`__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downloaded from this `website <https://land.copernicus.eu... | the_stack_v2_python_sparse | torchgeo/datasets/eudem.py | microsoft/torchgeo | train | 1,724 |
cc15e2111cd96a422debe0d6bf491ae7cdd6723a | [
"self.actor_id = kwargs.get('actor_id')\nself.hp = kwargs.get('hp')\nself.max_ammo = kwargs.get('max_ammo')\nself.ammo = kwargs.get('ammo')",
"self.actor_id = kwargs['actor_id']\nself.hp = kwargs['hp']\nself.max_ammo = kwargs['max_ammo']\nself.ammo = kwargs['ammo']",
"ret = {}\nret['actor_id'] = sockutil.dump(s... | <|body_start_0|>
self.actor_id = kwargs.get('actor_id')
self.hp = kwargs.get('hp')
self.max_ammo = kwargs.get('max_ammo')
self.ammo = kwargs.get('ammo')
<|end_body_0|>
<|body_start_1|>
self.actor_id = kwargs['actor_id']
self.hp = kwargs['hp']
self.max_ammo = kwar... | UpdateActorHpRequest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateActorHpRequest:
def __init__(self, **kwargs):
"""Params: actor_id: int hp: int max_ammo: int ammo: int"""
<|body_0|>
def load(self, **kwargs):
"""load from dict Exception: KeyError"""
<|body_1|>
def dump(self):
"""dump -> dict"""
<|... | stack_v2_sparse_classes_36k_train_015426 | 26,590 | no_license | [
{
"docstring": "Params: actor_id: int hp: int max_ammo: int ammo: int",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "load from dict Exception: KeyError",
"name": "load",
"signature": "def load(self, **kwargs)"
},
{
"docstring": "dump -> dict"... | 3 | stack_v2_sparse_classes_30k_train_000005 | Implement the Python class `UpdateActorHpRequest` described below.
Class description:
Implement the UpdateActorHpRequest class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Params: actor_id: int hp: int max_ammo: int ammo: int
- def load(self, **kwargs): load from dict Exception: KeyError
- def d... | Implement the Python class `UpdateActorHpRequest` described below.
Class description:
Implement the UpdateActorHpRequest class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Params: actor_id: int hp: int max_ammo: int ammo: int
- def load(self, **kwargs): load from dict Exception: KeyError
- def d... | aa0b2697e295889e8c23a7104889ea95f2a4b6b1 | <|skeleton|>
class UpdateActorHpRequest:
def __init__(self, **kwargs):
"""Params: actor_id: int hp: int max_ammo: int ammo: int"""
<|body_0|>
def load(self, **kwargs):
"""load from dict Exception: KeyError"""
<|body_1|>
def dump(self):
"""dump -> dict"""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpdateActorHpRequest:
def __init__(self, **kwargs):
"""Params: actor_id: int hp: int max_ammo: int ammo: int"""
self.actor_id = kwargs.get('actor_id')
self.hp = kwargs.get('hp')
self.max_ammo = kwargs.get('max_ammo')
self.ammo = kwargs.get('ammo')
def load(self, **... | the_stack_v2_python_sparse | message.py | songhui17/Server | train | 0 | |
d76999dba2768570f188b92bed1ad863212de70a | [
"store_view_obj = self.pool.get('magento.store.store_view')\nstore_view = store_view_obj.browse(cursor, user, context.get('active_id'))\nsales = store_view_obj.import_orders_from_store_view(cursor, user, store_view, context)\nreturn self.open_sales(cursor, user, map(int, sales), context)",
"ir_model_data = self.p... | <|body_start_0|>
store_view_obj = self.pool.get('magento.store.store_view')
store_view = store_view_obj.browse(cursor, user, context.get('active_id'))
sales = store_view_obj.import_orders_from_store_view(cursor, user, store_view, context)
return self.open_sales(cursor, user, map(int, sal... | Import orders | ImportOrders | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImportOrders:
"""Import orders"""
def import_orders(self, cursor, user, ids, context):
"""Import sale orders from magento for the current store view. :param cursor: Database cursor :param user: ID of current user :param ids: List of ids of records for this model :param context: Appli... | stack_v2_sparse_classes_36k_train_015427 | 2,001 | no_license | [
{
"docstring": "Import sale orders from magento for the current store view. :param cursor: Database cursor :param user: ID of current user :param ids: List of ids of records for this model :param context: Application context",
"name": "import_orders",
"signature": "def import_orders(self, cursor, user, ... | 2 | stack_v2_sparse_classes_30k_train_002048 | Implement the Python class `ImportOrders` described below.
Class description:
Import orders
Method signatures and docstrings:
- def import_orders(self, cursor, user, ids, context): Import sale orders from magento for the current store view. :param cursor: Database cursor :param user: ID of current user :param ids: Li... | Implement the Python class `ImportOrders` described below.
Class description:
Import orders
Method signatures and docstrings:
- def import_orders(self, cursor, user, ids, context): Import sale orders from magento for the current store view. :param cursor: Database cursor :param user: ID of current user :param ids: Li... | f661c776973868c0414007791ae6a0b069b1038f | <|skeleton|>
class ImportOrders:
"""Import orders"""
def import_orders(self, cursor, user, ids, context):
"""Import sale orders from magento for the current store view. :param cursor: Database cursor :param user: ID of current user :param ids: List of ids of records for this model :param context: Appli... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImportOrders:
"""Import orders"""
def import_orders(self, cursor, user, ids, context):
"""Import sale orders from magento for the current store view. :param cursor: Database cursor :param user: ID of current user :param ids: List of ids of records for this model :param context: Application contex... | the_stack_v2_python_sparse | wizard/import_orders.py | openlabs/magento_integration | train | 23 |
a8ec1e25dae76cc13fcb5f5037ad20fc32cd89c8 | [
"self._algorithm = algorithm\nself._prefix = prefix\nself._type = type\nself._props = {}\npass",
"if not name in self._props:\n raise AttributeError('Property \"%s\" was not set on \"%s/%s.%s\"' % (name, self._algorithm.type(), self._algorithm.name(), self._prefix))\nreturn self._props[name]",
"if key[0] == ... | <|body_start_0|>
self._algorithm = algorithm
self._prefix = prefix
self._type = type
self._props = {}
pass
<|end_body_0|>
<|body_start_1|>
if not name in self._props:
raise AttributeError('Property "%s" was not set on "%s/%s.%s"' % (name, self._algorithm.type... | Standalone Private Tool Configuration This class is used to mimic the behaviour of Athena tool configurable classes. To be able to set the properties of private tools used by dual-use algorithms in a way that's valid for both Athena and EventLoop. | PrivateToolConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrivateToolConfig:
"""Standalone Private Tool Configuration This class is used to mimic the behaviour of Athena tool configurable classes. To be able to set the properties of private tools used by dual-use algorithms in a way that's valid for both Athena and EventLoop."""
def __init__(self, ... | stack_v2_sparse_classes_36k_train_015428 | 16,311 | permissive | [
{
"docstring": "Constructor for an private tool configuration object",
"name": "__init__",
"signature": "def __init__(self, algorithm, prefix, type)"
},
{
"docstring": "Get a previously set property value from the configuration This function allows us to retrieve the value of a tool property tha... | 4 | null | Implement the Python class `PrivateToolConfig` described below.
Class description:
Standalone Private Tool Configuration This class is used to mimic the behaviour of Athena tool configurable classes. To be able to set the properties of private tools used by dual-use algorithms in a way that's valid for both Athena and... | Implement the Python class `PrivateToolConfig` described below.
Class description:
Standalone Private Tool Configuration This class is used to mimic the behaviour of Athena tool configurable classes. To be able to set the properties of private tools used by dual-use algorithms in a way that's valid for both Athena and... | 354f92551294f7be678aebcd7b9d67d2c4448176 | <|skeleton|>
class PrivateToolConfig:
"""Standalone Private Tool Configuration This class is used to mimic the behaviour of Athena tool configurable classes. To be able to set the properties of private tools used by dual-use algorithms in a way that's valid for both Athena and EventLoop."""
def __init__(self, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PrivateToolConfig:
"""Standalone Private Tool Configuration This class is used to mimic the behaviour of Athena tool configurable classes. To be able to set the properties of private tools used by dual-use algorithms in a way that's valid for both Athena and EventLoop."""
def __init__(self, algorithm, pr... | the_stack_v2_python_sparse | PhysicsAnalysis/D3PDTools/AnaAlgorithm/python/AnaAlgorithmConfig.py | strigazi/athena | train | 0 |
ca54de5bbeaeca46c78ba0fbdb3ea718067d38c7 | [
"FeatureDefinition.__init__(self)\nnbTypes = self._getTypeNumber(kwargs)\nprint('BETTER FEATURES')\nblock_transformer = FeatureUnion([('xywh', Pipeline([('selector', NodeTransformerXYWH_v2()), ('xywh', QuantileTransformer(n_quantiles=self.n_QUANTILES, copy=False))])), ('neighbors', Pipeline([('selector', NodeTransf... | <|body_start_0|>
FeatureDefinition.__init__(self)
nbTypes = self._getTypeNumber(kwargs)
print('BETTER FEATURES')
block_transformer = FeatureUnion([('xywh', Pipeline([('selector', NodeTransformerXYWH_v2()), ('xywh', QuantileTransformer(n_quantiles=self.n_QUANTILES, copy=False))])), ('neig... | Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!! | My_FeatureDefinition_v2 | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class My_FeatureDefinition_v2:
"""Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!"""
def __init__(self, **kwargs):
... | stack_v2_sparse_classes_36k_train_015429 | 31,127 | permissive | [
{
"docstring": "set _node_transformer, _edge_transformer, tdifNodeTextVectorizer",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Fit the transformers using the graphs, but TYPE BY TYPE !!! return True",
"name": "fitTranformers",
"signature": "def fitT... | 2 | null | Implement the Python class `My_FeatureDefinition_v2` described below.
Class description:
Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!
Meth... | Implement the Python class `My_FeatureDefinition_v2` described below.
Class description:
Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!
Meth... | 9f2fed81672dc222ca52ee4329eac3126b500d21 | <|skeleton|>
class My_FeatureDefinition_v2:
"""Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!"""
def __init__(self, **kwargs):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class My_FeatureDefinition_v2:
"""Multitype version: so the node_transformer actually is a list of node_transformer of length n_class the edge_transformer actually is a list of node_transformer of length n_class^2 We also inherit from FeatureDefinition_T !!!"""
def __init__(self, **kwargs):
"""set _nod... | the_stack_v2_python_sparse | TranskribusDU/tasks/TablePrototypes/DU_ABPTableRG3.py | Transkribus/TranskribusDU | train | 24 |
40bf947af3f03c23acc7fc10efb7893380ce96a9 | [
"owner_id = request.manager.id\nexsign = app_models.exSign.objects(owner_id=owner_id)\nif exsign.count() > 0:\n exsign = exsign[0]\n is_create_new_data = False\n project_id = 'new_app:exsign:%s' % exsign.related_page_id\nelse:\n exsign = None\n is_create_new_data = True\n project_id = 'new_app:exs... | <|body_start_0|>
owner_id = request.manager.id
exsign = app_models.exSign.objects(owner_id=owner_id)
if exsign.count() > 0:
exsign = exsign[0]
is_create_new_data = False
project_id = 'new_app:exsign:%s' % exsign.related_page_id
else:
exsign... | exSign | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class exSign:
def get(request):
"""响应GET"""
<|body_0|>
def api_put(request):
"""响应PUT"""
<|body_1|>
def api_post(request):
"""响应POST"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
owner_id = request.manager.id
exsign = app_mo... | stack_v2_sparse_classes_36k_train_015430 | 3,317 | no_license | [
{
"docstring": "响应GET",
"name": "get",
"signature": "def get(request)"
},
{
"docstring": "响应PUT",
"name": "api_put",
"signature": "def api_put(request)"
},
{
"docstring": "响应POST",
"name": "api_post",
"signature": "def api_post(request)"
}
] | 3 | stack_v2_sparse_classes_30k_train_004509 | Implement the Python class `exSign` described below.
Class description:
Implement the exSign class.
Method signatures and docstrings:
- def get(request): 响应GET
- def api_put(request): 响应PUT
- def api_post(request): 响应POST | Implement the Python class `exSign` described below.
Class description:
Implement the exSign class.
Method signatures and docstrings:
- def get(request): 响应GET
- def api_put(request): 响应PUT
- def api_post(request): 响应POST
<|skeleton|>
class exSign:
def get(request):
"""响应GET"""
<|body_0|>
d... | 8b2f7befe92841bcc35e0e60cac5958ef3f3af54 | <|skeleton|>
class exSign:
def get(request):
"""响应GET"""
<|body_0|>
def api_put(request):
"""响应PUT"""
<|body_1|>
def api_post(request):
"""响应POST"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class exSign:
def get(request):
"""响应GET"""
owner_id = request.manager.id
exsign = app_models.exSign.objects(owner_id=owner_id)
if exsign.count() > 0:
exsign = exsign[0]
is_create_new_data = False
project_id = 'new_app:exsign:%s' % exsign.related_p... | the_stack_v2_python_sparse | weapp/apps/customerized_apps/exsign/exsign.py | chengdg/weizoom | train | 1 | |
8ca738bb5b067d1d509738538218da45d12aec80 | [
"self.schema_blocks = schema_blocks\nself.required_fields = required_fields\nself.json_schema = self._build_json_schema()",
"try:\n jsonschema.validate(registration_responses, self.json_schema)\nexcept jsonschema.ValidationError as e:\n properties = self.json_schema.get('properties', {})\n relative_path ... | <|body_start_0|>
self.schema_blocks = schema_blocks
self.required_fields = required_fields
self.json_schema = self._build_json_schema()
<|end_body_0|>
<|body_start_1|>
try:
jsonschema.validate(registration_responses, self.json_schema)
except jsonschema.ValidationErro... | RegistrationResponsesValidator | [
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-warranty-disclaimer",
"AGPL-3.0-only",
"LGPL-2.0-or-later",
"LicenseRef-scancode-proprietary-license",
"MPL-1.1",
"CPAL-1.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegistrationResponsesValidator:
def __init__(self, schema_blocks, required_fields):
"""For validating `registration_responses` on Registrations and DraftRegistrations :params schema_blocks iterable of SchemaBlock instances :params required_fields boolean - do we want to enforce that requ... | stack_v2_sparse_classes_36k_train_015431 | 17,225 | permissive | [
{
"docstring": "For validating `registration_responses` on Registrations and DraftRegistrations :params schema_blocks iterable of SchemaBlock instances :params required_fields boolean - do we want to enforce that required fields are present",
"name": "__init__",
"signature": "def __init__(self, schema_b... | 5 | null | Implement the Python class `RegistrationResponsesValidator` described below.
Class description:
Implement the RegistrationResponsesValidator class.
Method signatures and docstrings:
- def __init__(self, schema_blocks, required_fields): For validating `registration_responses` on Registrations and DraftRegistrations :p... | Implement the Python class `RegistrationResponsesValidator` described below.
Class description:
Implement the RegistrationResponsesValidator class.
Method signatures and docstrings:
- def __init__(self, schema_blocks, required_fields): For validating `registration_responses` on Registrations and DraftRegistrations :p... | a3e0a0b9ddda5dd75fc8248d58f3bcdeece0323e | <|skeleton|>
class RegistrationResponsesValidator:
def __init__(self, schema_blocks, required_fields):
"""For validating `registration_responses` on Registrations and DraftRegistrations :params schema_blocks iterable of SchemaBlock instances :params required_fields boolean - do we want to enforce that requ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RegistrationResponsesValidator:
def __init__(self, schema_blocks, required_fields):
"""For validating `registration_responses` on Registrations and DraftRegistrations :params schema_blocks iterable of SchemaBlock instances :params required_fields boolean - do we want to enforce that required fields ar... | the_stack_v2_python_sparse | osf/models/validators.py | CenterForOpenScience/osf.io | train | 683 | |
4f4a0af05157f4f5ce13914aa271b4f0d025ca89 | [
"self.dataset = dataset\nself.logger = logger\nself.length = len(self.dataset)",
"if isinstance(test_info, str):\n self._check_load(test_info)\nelse:\n self._check_unit(test_info)",
"n, unit = info\ncheck_len = n == self.length\nif check_len:\n logger.get_log().info('dataset length check success !!!')\... | <|body_start_0|>
self.dataset = dataset
self.logger = logger
self.length = len(self.dataset)
<|end_body_0|>
<|body_start_1|>
if isinstance(test_info, str):
self._check_load(test_info)
else:
self._check_unit(test_info)
<|end_body_1|>
<|body_start_2|>
... | test Dataset class | TestDataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDataset:
"""test Dataset class"""
def __init__(self, dataset):
"""init"""
<|body_0|>
def run(self, test_info):
"""run"""
<|body_1|>
def _check_unit(self, info):
"""check unit case"""
<|body_2|>
def _check_load(self, dir):
... | stack_v2_sparse_classes_36k_train_015432 | 7,560 | no_license | [
{
"docstring": "init",
"name": "__init__",
"signature": "def __init__(self, dataset)"
},
{
"docstring": "run",
"name": "run",
"signature": "def run(self, test_info)"
},
{
"docstring": "check unit case",
"name": "_check_unit",
"signature": "def _check_unit(self, info)"
}... | 4 | stack_v2_sparse_classes_30k_train_020443 | Implement the Python class `TestDataset` described below.
Class description:
test Dataset class
Method signatures and docstrings:
- def __init__(self, dataset): init
- def run(self, test_info): run
- def _check_unit(self, info): check unit case
- def _check_load(self, dir): check load case | Implement the Python class `TestDataset` described below.
Class description:
test Dataset class
Method signatures and docstrings:
- def __init__(self, dataset): init
- def run(self, test_info): run
- def _check_unit(self, info): check unit case
- def _check_load(self, dir): check load case
<|skeleton|>
class TestDat... | bd3790ce72a2a26611b5eda3901651b5a809348f | <|skeleton|>
class TestDataset:
"""test Dataset class"""
def __init__(self, dataset):
"""init"""
<|body_0|>
def run(self, test_info):
"""run"""
<|body_1|>
def _check_unit(self, info):
"""check unit case"""
<|body_2|>
def _check_load(self, dir):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestDataset:
"""test Dataset class"""
def __init__(self, dataset):
"""init"""
self.dataset = dataset
self.logger = logger
self.length = len(self.dataset)
def run(self, test_info):
"""run"""
if isinstance(test_info, str):
self._check_load(te... | the_stack_v2_python_sparse | framework/e2e/io/io_test.py | PaddlePaddle/PaddleTest | train | 42 |
716ee3abb71db9975ec37ee8e9dce570f5a4c311 | [
"globals()['Augmentor'] = importlib.import_module('Augmentor')\nif data_dir is not None and os.path.isdir(data_dir):\n self.option = 1\n self.pipeline = Augmentor.Pipeline(source_directory=data_dir)\n self.num_images = len(self.pipeline.augmentor_images)\n self.num_classes = np.unique(self.pipeline.clas... | <|body_start_0|>
globals()['Augmentor'] = importlib.import_module('Augmentor')
if data_dir is not None and os.path.isdir(data_dir):
self.option = 1
self.pipeline = Augmentor.Pipeline(source_directory=data_dir)
self.num_images = len(self.pipeline.augmentor_images)
... | ezData_Augmentor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ezData_Augmentor:
def __init__(self, data_dir=None):
"""always assume: BatchSize x Height x Width x Channels Options: (1) load data straight into Augmentor.Pipeline if there a parent directory and all images of each class are in their own respective subdirectories (2) load in the data as... | stack_v2_sparse_classes_36k_train_015433 | 6,194 | permissive | [
{
"docstring": "always assume: BatchSize x Height x Width x Channels Options: (1) load data straight into Augmentor.Pipeline if there a parent directory and all images of each class are in their own respective subdirectories (2) load in the data as np.arrays of x and y, and eventually manually feed into Augment... | 2 | stack_v2_sparse_classes_30k_train_013525 | Implement the Python class `ezData_Augmentor` described below.
Class description:
Implement the ezData_Augmentor class.
Method signatures and docstrings:
- def __init__(self, data_dir=None): always assume: BatchSize x Height x Width x Channels Options: (1) load data straight into Augmentor.Pipeline if there a parent ... | Implement the Python class `ezData_Augmentor` described below.
Class description:
Implement the ezData_Augmentor class.
Method signatures and docstrings:
- def __init__(self, data_dir=None): always assume: BatchSize x Height x Width x Channels Options: (1) load data straight into Augmentor.Pipeline if there a parent ... | a93df7ae91fd5905df368661b86ae653c3d08869 | <|skeleton|>
class ezData_Augmentor:
def __init__(self, data_dir=None):
"""always assume: BatchSize x Height x Width x Channels Options: (1) load data straight into Augmentor.Pipeline if there a parent directory and all images of each class are in their own respective subdirectories (2) load in the data as... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ezData_Augmentor:
def __init__(self, data_dir=None):
"""always assume: BatchSize x Height x Width x Channels Options: (1) load data straight into Augmentor.Pipeline if there a parent directory and all images of each class are in their own respective subdirectories (2) load in the data as np.arrays of ... | the_stack_v2_python_sparse | data/data_tools/ezData.py | ezCGP/ezCGP | train | 6 | |
9aaa3219a96fbb78e9a1be0648a1514bc24d0402 | [
"self.logger = AntiVirusLogger(__name__, debug=debug)\nif not utils.check_root():\n self.logger.log('Please run as root exiting.', logtype='error')\n sys.exit(0)\nif cred is not None:\n self.cred = cred\nelse:\n self.logger.log('SecureTea AntiVirus credentials not found.', logtype='error')\n sys.exit... | <|body_start_0|>
self.logger = AntiVirusLogger(__name__, debug=debug)
if not utils.check_root():
self.logger.log('Please run as root exiting.', logtype='error')
sys.exit(0)
if cred is not None:
self.cred = cred
else:
self.logger.log('Secure... | SecureTeaAntiVirus class. | SecureTeaAntiVirus | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SecureTeaAntiVirus:
"""SecureTeaAntiVirus class."""
def __init__(self, debug=False, cred=None):
"""Initialize SecureTeaAntiVirus. Args: debug (bool): Log on terminal or not cred (dict): SecureTea AntiVirus credentials Raises: None Returns: None"""
<|body_0|>
def start(se... | stack_v2_sparse_classes_36k_train_015434 | 3,217 | permissive | [
{
"docstring": "Initialize SecureTeaAntiVirus. Args: debug (bool): Log on terminal or not cred (dict): SecureTea AntiVirus credentials Raises: None Returns: None",
"name": "__init__",
"signature": "def __init__(self, debug=False, cred=None)"
},
{
"docstring": "Start AntiVirus core engine. Args: ... | 2 | stack_v2_sparse_classes_30k_train_003983 | Implement the Python class `SecureTeaAntiVirus` described below.
Class description:
SecureTeaAntiVirus class.
Method signatures and docstrings:
- def __init__(self, debug=False, cred=None): Initialize SecureTeaAntiVirus. Args: debug (bool): Log on terminal or not cred (dict): SecureTea AntiVirus credentials Raises: N... | Implement the Python class `SecureTeaAntiVirus` described below.
Class description:
SecureTeaAntiVirus class.
Method signatures and docstrings:
- def __init__(self, debug=False, cred=None): Initialize SecureTeaAntiVirus. Args: debug (bool): Log on terminal or not cred (dict): SecureTea AntiVirus credentials Raises: N... | 43dec187e5848b9ced8a6b4957b6e9028d4d43cd | <|skeleton|>
class SecureTeaAntiVirus:
"""SecureTeaAntiVirus class."""
def __init__(self, debug=False, cred=None):
"""Initialize SecureTeaAntiVirus. Args: debug (bool): Log on terminal or not cred (dict): SecureTea AntiVirus credentials Raises: None Returns: None"""
<|body_0|>
def start(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SecureTeaAntiVirus:
"""SecureTeaAntiVirus class."""
def __init__(self, debug=False, cred=None):
"""Initialize SecureTeaAntiVirus. Args: debug (bool): Log on terminal or not cred (dict): SecureTea AntiVirus credentials Raises: None Returns: None"""
self.logger = AntiVirusLogger(__name__, d... | the_stack_v2_python_sparse | securetea/lib/antivirus/secureTeaAntiVirus.py | rejahrehim/SecureTea-Project | train | 1 |
e034fab7c1b65e338e3668073f1729b8f6e2b25f | [
"n = len(s)\nif n == 0:\n return s\ndp = [[0] * n for i in range(n)]\nleft = 0\nright = 0\nfor i in range(n - 2, -1, -1):\n dp[i][i] = 1\n for j in range(i + 1, n):\n dp[i][j] = s[i] == s[j] and (j - i < 3 or dp[i + 1][j - 1])\n if dp[i][j] and right - left < j - i:\n left = i\n ... | <|body_start_0|>
n = len(s)
if n == 0:
return s
dp = [[0] * n for i in range(n)]
left = 0
right = 0
for i in range(n - 2, -1, -1):
dp[i][i] = 1
for j in range(i + 1, n):
dp[i][j] = s[i] == s[j] and (j - i < 3 or dp[i + 1... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestPalindrome(self, s: str) -> str:
"""中级的动态规划——二维关系 时间复杂度 O(n^2) 空间复杂度O(n^2)"""
<|body_0|>
def longestPalindrome1(self, s: str) -> str:
"""中心扩展的方法 时间复杂度 O(n^2) 空间复杂度O(1)"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(s)
... | stack_v2_sparse_classes_36k_train_015435 | 968 | no_license | [
{
"docstring": "中级的动态规划——二维关系 时间复杂度 O(n^2) 空间复杂度O(n^2)",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self, s: str) -> str"
},
{
"docstring": "中心扩展的方法 时间复杂度 O(n^2) 空间复杂度O(1)",
"name": "longestPalindrome1",
"signature": "def longestPalindrome1(self, s: str) -> str"
}... | 2 | stack_v2_sparse_classes_30k_train_019694 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s: str) -> str: 中级的动态规划——二维关系 时间复杂度 O(n^2) 空间复杂度O(n^2)
- def longestPalindrome1(self, s: str) -> str: 中心扩展的方法 时间复杂度 O(n^2) 空间复杂度O(1) | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s: str) -> str: 中级的动态规划——二维关系 时间复杂度 O(n^2) 空间复杂度O(n^2)
- def longestPalindrome1(self, s: str) -> str: 中心扩展的方法 时间复杂度 O(n^2) 空间复杂度O(1)
<|skeleton|>
cla... | 95dddb78bccd169d9d219a473627361fe739ab5e | <|skeleton|>
class Solution:
def longestPalindrome(self, s: str) -> str:
"""中级的动态规划——二维关系 时间复杂度 O(n^2) 空间复杂度O(n^2)"""
<|body_0|>
def longestPalindrome1(self, s: str) -> str:
"""中心扩展的方法 时间复杂度 O(n^2) 空间复杂度O(1)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestPalindrome(self, s: str) -> str:
"""中级的动态规划——二维关系 时间复杂度 O(n^2) 空间复杂度O(n^2)"""
n = len(s)
if n == 0:
return s
dp = [[0] * n for i in range(n)]
left = 0
right = 0
for i in range(n - 2, -1, -1):
dp[i][i] = 1
... | the_stack_v2_python_sparse | DrasticPlan/longestPalindrome.py | Philex5/codingPractice | train | 0 | |
713e275ee06f20f9ace24cff743ca10bbfed08cf | [
"self._name = name\nself._password = password\nself._logged_in = False",
"if password == self._password:\n self._logged_in = True\nelse:\n print('Incorrect password.')",
"if self._logged_in:\n print(f'{self._name} is logged in.')\nelse:\n print(f'{self._name} is NOT logged in.')"
] | <|body_start_0|>
self._name = name
self._password = password
self._logged_in = False
<|end_body_0|>
<|body_start_1|>
if password == self._password:
self._logged_in = True
else:
print('Incorrect password.')
<|end_body_1|>
<|body_start_2|>
if self.... | A user of the store. | User | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class User:
"""A user of the store."""
def __init__(self, name, password):
"""Initialise data for user."""
<|body_0|>
def login(self, password):
"""Check password and log user in."""
<|body_1|>
def show_status(self):
"""Print the status of the user... | stack_v2_sparse_classes_36k_train_015436 | 1,487 | no_license | [
{
"docstring": "Initialise data for user.",
"name": "__init__",
"signature": "def __init__(self, name, password)"
},
{
"docstring": "Check password and log user in.",
"name": "login",
"signature": "def login(self, password)"
},
{
"docstring": "Print the status of the user.",
... | 3 | stack_v2_sparse_classes_30k_train_009502 | Implement the Python class `User` described below.
Class description:
A user of the store.
Method signatures and docstrings:
- def __init__(self, name, password): Initialise data for user.
- def login(self, password): Check password and log user in.
- def show_status(self): Print the status of the user. | Implement the Python class `User` described below.
Class description:
A user of the store.
Method signatures and docstrings:
- def __init__(self, name, password): Initialise data for user.
- def login(self, password): Check password and log user in.
- def show_status(self): Print the status of the user.
<|skeleton|>... | dc2d3af99406c380f62f319c908984262d2be8f7 | <|skeleton|>
class User:
"""A user of the store."""
def __init__(self, name, password):
"""Initialise data for user."""
<|body_0|>
def login(self, password):
"""Check password and log user in."""
<|body_1|>
def show_status(self):
"""Print the status of the user... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class User:
"""A user of the store."""
def __init__(self, name, password):
"""Initialise data for user."""
self._name = name
self._password = password
self._logged_in = False
def login(self, password):
"""Check password and log user in."""
if password == sel... | the_stack_v2_python_sparse | final-code/oop/inheritance_store.py | juliakyrychuk/python-for-beginners-resources | train | 0 |
78dfcf4068c0b98ff80f67f17e9d8aaf502d424c | [
"self.food, self.food_idx = (food, 0)\nself.snake = deque([[0, 0]])\nself.size = (height, width)\nself.dirs = {'U': (-1, 0), 'L': (0, -1), 'R': (0, 1), 'D': (1, 0)}\nself.res = 0",
"pos = [self.snake[0][0] + self.dirs[direction][0], self.snake[0][1] + self.dirs[direction][1]]\nif pos[0] < 0 or pos[0] >= self.size... | <|body_start_0|>
self.food, self.food_idx = (food, 0)
self.snake = deque([[0, 0]])
self.size = (height, width)
self.dirs = {'U': (-1, 0), 'L': (0, -1), 'R': (0, 1), 'D': (1, 0)}
self.res = 0
<|end_body_0|>
<|body_start_1|>
pos = [self.snake[0][0] + self.dirs[direction][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],... | stack_v2_sparse_classes_36k_train_015437 | 3,226 | 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... | 3 | null | 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... | 4a1747b6497305f3821612d9c358a6795b1690da | <|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],... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | 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... | the_stack_v2_python_sparse | Queue/q353_design_snake_game.py | sevenhe716/LeetCode | train | 0 | |
976ef4a4e02f900221e023f10dda42e190459cf7 | [
"BaseNet.__init__(self, name=name)\nself.global_net = INetAffine(decay=decay, affine_w_initializer=affine_w_initializer, affine_b_initializer=affine_b_initializer, acti_func=acti_func, name='inet-global')\nself.local_net = INetDense(decay=decay, disp_w_initializer=disp_w_initializer, disp_b_initializer=disp_b_initi... | <|body_start_0|>
BaseNet.__init__(self, name=name)
self.global_net = INetAffine(decay=decay, affine_w_initializer=affine_w_initializer, affine_b_initializer=affine_b_initializer, acti_func=acti_func, name='inet-global')
self.local_net = INetDense(decay=decay, disp_w_initializer=disp_w_initialize... | ### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration, Medi... | INetHybridTwoStream | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class INetHybridTwoStream:
"""### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., Weakly-Supervised Convolutional Neural N... | stack_v2_sparse_classes_36k_train_015438 | 7,784 | permissive | [
{
"docstring": ":param decay: float, regularisation decay :param affine_w_initializer: weight initialisation for affine registration network :param affine_b_initializer: bias initialisation for affine registration network :param disp_w_initializer: weight initialisation for dense registration network :param dis... | 2 | stack_v2_sparse_classes_30k_train_015293 | Implement the Python class `INetHybridTwoStream` described below.
Class description:
### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., W... | Implement the Python class `INetHybridTwoStream` described below.
Class description:
### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., W... | 67db048685705e36622bc2851b4c7794e56065ad | <|skeleton|>
class INetHybridTwoStream:
"""### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., Weakly-Supervised Convolutional Neural N... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class INetHybridTwoStream:
"""### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., Weakly-Supervised Convolutional Neural Networks for M... | the_stack_v2_python_sparse | niftynet/network/interventional_hybrid_net.py | BRAINSia/NiftyNet | train | 0 |
4bf8a3ca5213dc8e7bf9ec6fde34577bd28bfb41 | [
"super().__init__()\nself.args = args\nself.get_controller(args)",
"image = data['image']\nimage = cv2.imdecode(np.asarray(bytearray(image), dtype=np.uint8), 1)\nglobal global_steer\nglobal_steer = self.controller.get_steering_angle(image, args.horizon)"
] | <|body_start_0|>
super().__init__()
self.args = args
self.get_controller(args)
<|end_body_0|>
<|body_start_1|>
image = data['image']
image = cv2.imdecode(np.asarray(bytearray(image), dtype=np.uint8), 1)
global global_steer
global_steer = self.controller.get_steer... | Class that extends the client socket and BaseEnvironment Attributes: args (Object): command line arguments | WheelchairClientProtocol | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WheelchairClientProtocol:
"""Class that extends the client socket and BaseEnvironment Attributes: args (Object): command line arguments"""
def __init__(self, args):
"""Instantiate an instance of the WheelchairClientProtocol Calls the __init__ of the extended classes Get the controlle... | stack_v2_sparse_classes_36k_train_015439 | 4,116 | no_license | [
{
"docstring": "Instantiate an instance of the WheelchairClientProtocol Calls the __init__ of the extended classes Get the controller based on the command line arguments",
"name": "__init__",
"signature": "def __init__(self, args)"
},
{
"docstring": "Function that receives the centre image from ... | 2 | stack_v2_sparse_classes_30k_train_002618 | Implement the Python class `WheelchairClientProtocol` described below.
Class description:
Class that extends the client socket and BaseEnvironment Attributes: args (Object): command line arguments
Method signatures and docstrings:
- def __init__(self, args): Instantiate an instance of the WheelchairClientProtocol Cal... | Implement the Python class `WheelchairClientProtocol` described below.
Class description:
Class that extends the client socket and BaseEnvironment Attributes: args (Object): command line arguments
Method signatures and docstrings:
- def __init__(self, args): Instantiate an instance of the WheelchairClientProtocol Cal... | b5c67e0e7737e524d7780286552face882b63531 | <|skeleton|>
class WheelchairClientProtocol:
"""Class that extends the client socket and BaseEnvironment Attributes: args (Object): command line arguments"""
def __init__(self, args):
"""Instantiate an instance of the WheelchairClientProtocol Calls the __init__ of the extended classes Get the controlle... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WheelchairClientProtocol:
"""Class that extends the client socket and BaseEnvironment Attributes: args (Object): command line arguments"""
def __init__(self, args):
"""Instantiate an instance of the WheelchairClientProtocol Calls the __init__ of the extended classes Get the controller based on th... | the_stack_v2_python_sparse | src/environment/wheelchair.py | DomhnallBoyle/Research-Project | train | 0 |
a25e9e52cc4a8bd00e8d59633590f572fb662fb2 | [
"super(Runner, self).__init__()\nself._log('Runner.init')\nself._pipeline = pline\nself._output = output\nself._input = None\nself._execution_chain = list()\nprocess_chain = list()\nif self._pipeline.last() is not None:\n process_chain = self._pipeline.last().chain()\n self._input = process_chain[0].pipeline(... | <|body_start_0|>
super(Runner, self).__init__()
self._log('Runner.init')
self._pipeline = pline
self._output = output
self._input = None
self._execution_chain = list()
process_chain = list()
if self._pipeline.last() is not None:
process_chain =... | A runner is used to extract the chain of processing operations from a Pipeline given an Output. The idea here is to traverse back up the Pipeline(s) and build an execution chain. When the runner is started, events from the "in" are streamed into the execution chain and outputed into the "out". Rebuilding in this way en... | Runner | [
"BSD-3-Clause-LBNL"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Runner:
"""A runner is used to extract the chain of processing operations from a Pipeline given an Output. The idea here is to traverse back up the Pipeline(s) and build an execution chain. When the runner is started, events from the "in" are streamed into the execution chain and outputed into th... | stack_v2_sparse_classes_36k_train_015440 | 35,761 | permissive | [
{
"docstring": "Create a new batch runner",
"name": "__init__",
"signature": "def __init__(self, pline, output)"
},
{
"docstring": "Start the runner Args: force (bool, optional): force Flush at the end of the batch source to cause any buffers to emit.",
"name": "start",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_002332 | Implement the Python class `Runner` described below.
Class description:
A runner is used to extract the chain of processing operations from a Pipeline given an Output. The idea here is to traverse back up the Pipeline(s) and build an execution chain. When the runner is started, events from the "in" are streamed into t... | Implement the Python class `Runner` described below.
Class description:
A runner is used to extract the chain of processing operations from a Pipeline given an Output. The idea here is to traverse back up the Pipeline(s) and build an execution chain. When the runner is started, events from the "in" are streamed into t... | 62b90a60e68ef91d24a834a81436235885324ecf | <|skeleton|>
class Runner:
"""A runner is used to extract the chain of processing operations from a Pipeline given an Output. The idea here is to traverse back up the Pipeline(s) and build an execution chain. When the runner is started, events from the "in" are streamed into the execution chain and outputed into th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Runner:
"""A runner is used to extract the chain of processing operations from a Pipeline given an Output. The idea here is to traverse back up the Pipeline(s) and build an execution chain. When the runner is started, events from the "in" are streamed into the execution chain and outputed into the "out". Rebu... | the_stack_v2_python_sparse | pypond/pipeline.py | esnet/pypond | train | 5 |
93611a5a702e1c1138a902794f07af9d196cbc96 | [
"slow = 0\nfor fast in range(len(nums)):\n if nums[fast] != val:\n nums[i] = nums[j]\n slow += 1\nreturn slow",
"i = 0\nn = len(nums)\nwhile i < n:\n if nums[i] == val:\n nums[i], nums[n - 1] = (nums[n - 1], nums[i])\n n -= 1\n else:\n i += 1\nreturn n"
] | <|body_start_0|>
slow = 0
for fast in range(len(nums)):
if nums[fast] != val:
nums[i] = nums[j]
slow += 1
return slow
<|end_body_0|>
<|body_start_1|>
i = 0
n = len(nums)
while i < n:
if nums[i] == val:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeElement(self, nums: List[int], val: int) -> int:
"""Time O(n) --> 2n; Space: O(1)"""
<|body_0|>
def removeElement_swap(self, nums: List[int], val: int) -> int:
"""When we encounter nums[i] == val, swap it's value with last element and dispose last... | stack_v2_sparse_classes_36k_train_015441 | 1,068 | no_license | [
{
"docstring": "Time O(n) --> 2n; Space: O(1)",
"name": "removeElement",
"signature": "def removeElement(self, nums: List[int], val: int) -> int"
},
{
"docstring": "When we encounter nums[i] == val, swap it's value with last element and dispose last one immediatly. O(n), swap operation == # of r... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElement(self, nums: List[int], val: int) -> int: Time O(n) --> 2n; Space: O(1)
- def removeElement_swap(self, nums: List[int], val: int) -> int: When we encounter nums[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElement(self, nums: List[int], val: int) -> int: Time O(n) --> 2n; Space: O(1)
- def removeElement_swap(self, nums: List[int], val: int) -> int: When we encounter nums[... | 1a3c1f4d6e9d3444039f087763b93241f4ba7892 | <|skeleton|>
class Solution:
def removeElement(self, nums: List[int], val: int) -> int:
"""Time O(n) --> 2n; Space: O(1)"""
<|body_0|>
def removeElement_swap(self, nums: List[int], val: int) -> int:
"""When we encounter nums[i] == val, swap it's value with last element and dispose last... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def removeElement(self, nums: List[int], val: int) -> int:
"""Time O(n) --> 2n; Space: O(1)"""
slow = 0
for fast in range(len(nums)):
if nums[fast] != val:
nums[i] = nums[j]
slow += 1
return slow
def removeElement_swap(... | the_stack_v2_python_sparse | Algorithm/027_RemoveElement.py | Gi1ia/TechNoteBook | train | 7 | |
0b5d49fe6c69285fca0a5ea1c822acdf1520e1d2 | [
"func_name = sys._getframe().f_code.co_name\nhash = gl.get_value('hash')\nrow = self.get_case_row_index(func_name)\nrequest_data = self.get_request_data(func_name)\nfor imgs in ['imgs', 'detailImgs', 'bigProductImgs', 'bigImgs']:\n request_data[imgs] += hash\nrandomId = random.random()\nrandomId_en = random.rand... | <|body_start_0|>
func_name = sys._getframe().f_code.co_name
hash = gl.get_value('hash')
row = self.get_case_row_index(func_name)
request_data = self.get_request_data(func_name)
for imgs in ['imgs', 'detailImgs', 'bigProductImgs', 'bigImgs']:
request_data[imgs] += hash... | CommodityManagement | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommodityManagement:
def test_urine_v2_goodsInfo_saveGoodsInfo(self):
"""添加商品 :return:"""
<|body_0|>
def test_urine_v2_goodsInfo_queryGoodsInfos(self):
"""查询商品信息 :return:"""
<|body_1|>
def test_urine_v2_goodsInfo_updateGoodsInfo(self):
"""更新商品信息 ... | stack_v2_sparse_classes_36k_train_015442 | 3,152 | no_license | [
{
"docstring": "添加商品 :return:",
"name": "test_urine_v2_goodsInfo_saveGoodsInfo",
"signature": "def test_urine_v2_goodsInfo_saveGoodsInfo(self)"
},
{
"docstring": "查询商品信息 :return:",
"name": "test_urine_v2_goodsInfo_queryGoodsInfos",
"signature": "def test_urine_v2_goodsInfo_queryGoodsInfo... | 4 | stack_v2_sparse_classes_30k_train_001674 | Implement the Python class `CommodityManagement` described below.
Class description:
Implement the CommodityManagement class.
Method signatures and docstrings:
- def test_urine_v2_goodsInfo_saveGoodsInfo(self): 添加商品 :return:
- def test_urine_v2_goodsInfo_queryGoodsInfos(self): 查询商品信息 :return:
- def test_urine_v2_good... | Implement the Python class `CommodityManagement` described below.
Class description:
Implement the CommodityManagement class.
Method signatures and docstrings:
- def test_urine_v2_goodsInfo_saveGoodsInfo(self): 添加商品 :return:
- def test_urine_v2_goodsInfo_queryGoodsInfos(self): 查询商品信息 :return:
- def test_urine_v2_good... | 6837a07ff200b610e7ba799a52543493848b6026 | <|skeleton|>
class CommodityManagement:
def test_urine_v2_goodsInfo_saveGoodsInfo(self):
"""添加商品 :return:"""
<|body_0|>
def test_urine_v2_goodsInfo_queryGoodsInfos(self):
"""查询商品信息 :return:"""
<|body_1|>
def test_urine_v2_goodsInfo_updateGoodsInfo(self):
"""更新商品信息 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommodityManagement:
def test_urine_v2_goodsInfo_saveGoodsInfo(self):
"""添加商品 :return:"""
func_name = sys._getframe().f_code.co_name
hash = gl.get_value('hash')
row = self.get_case_row_index(func_name)
request_data = self.get_request_data(func_name)
for imgs in ... | the_stack_v2_python_sparse | run/commodity_management/test_commodity_management.py | liwei123a/APITestFrame | train | 0 | |
aa9a09bc595ade1419abb2183ac8589ae774764a | [
"self.seq = []\nfor i in range(0, len(A), 2):\n if A[i] == 0:\n continue\n self.seq.append([A[i], A[i + 1]])\nself.seq.reverse()",
"last_num = -1\nwhile self.seq and n >= self.seq[-1][0]:\n n -= self.seq[-1][0]\n last_num = self.seq[-1][1]\n self.seq.pop()\nif n > 0 and self.seq:\n self.s... | <|body_start_0|>
self.seq = []
for i in range(0, len(A), 2):
if A[i] == 0:
continue
self.seq.append([A[i], A[i + 1]])
self.seq.reverse()
<|end_body_0|>
<|body_start_1|>
last_num = -1
while self.seq and n >= self.seq[-1][0]:
n -... | RLEIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
<|body_0|>
def next(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.seq = []
for i in range(0, len(A), 2):
if A[i] == 0:
... | stack_v2_sparse_classes_36k_train_015443 | 826 | no_license | [
{
"docstring": ":type A: List[int]",
"name": "__init__",
"signature": "def __init__(self, A)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "next",
"signature": "def next(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018018 | Implement the Python class `RLEIterator` described below.
Class description:
Implement the RLEIterator class.
Method signatures and docstrings:
- def __init__(self, A): :type A: List[int]
- def next(self, n): :type n: int :rtype: int | Implement the Python class `RLEIterator` described below.
Class description:
Implement the RLEIterator class.
Method signatures and docstrings:
- def __init__(self, A): :type A: List[int]
- def next(self, n): :type n: int :rtype: int
<|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: Lis... | d6fac85a94a7188e93d4e202e67b6485562d12bd | <|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
<|body_0|>
def next(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
self.seq = []
for i in range(0, len(A), 2):
if A[i] == 0:
continue
self.seq.append([A[i], A[i + 1]])
self.seq.reverse()
def next(self, n):
""":type n: int :rtype: i... | the_stack_v2_python_sparse | lc900.py | GeorgyZhou/Leetcode-Problem | train | 0 | |
7cf11c3dcf1169783a763fa6be9ec4089889f63e | [
"try:\n documentobj = extract_value_from_input(input=input, field_id='document_id', model_type='Document', model=document_model)\nexcept ObjectDoesNotExist:\n raise GraphQLError(u'Ci sono stati problemi durante il recupero del documento.')\ntry:\n documentobj.document.delete()\nexcept Exception:\n raise... | <|body_start_0|>
try:
documentobj = extract_value_from_input(input=input, field_id='document_id', model_type='Document', model=document_model)
except ObjectDoesNotExist:
raise GraphQLError(u'Ci sono stati problemi durante il recupero del documento.')
try:
docu... | DocumentMutationService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocumentMutationService:
def deleteDocument(self, input):
"""cancellazione di un file input: input: dict output: ritorna una tupla composta da: int: numero di oggetti eliminati dict: che indica il numero di cancellazioni per quel tipo di oggetto esempio: (1, {'document.Entry': 1})"""
... | stack_v2_sparse_classes_36k_train_015444 | 3,329 | no_license | [
{
"docstring": "cancellazione di un file input: input: dict output: ritorna una tupla composta da: int: numero di oggetti eliminati dict: che indica il numero di cancellazioni per quel tipo di oggetto esempio: (1, {'document.Entry': 1})",
"name": "deleteDocument",
"signature": "def deleteDocument(self, ... | 2 | stack_v2_sparse_classes_30k_train_017631 | Implement the Python class `DocumentMutationService` described below.
Class description:
Implement the DocumentMutationService class.
Method signatures and docstrings:
- def deleteDocument(self, input): cancellazione di un file input: input: dict output: ritorna una tupla composta da: int: numero di oggetti eliminati... | Implement the Python class `DocumentMutationService` described below.
Class description:
Implement the DocumentMutationService class.
Method signatures and docstrings:
- def deleteDocument(self, input): cancellazione di un file input: input: dict output: ritorna una tupla composta da: int: numero di oggetti eliminati... | 7929b244a40a2faf834f55f1803d131cc6324a49 | <|skeleton|>
class DocumentMutationService:
def deleteDocument(self, input):
"""cancellazione di un file input: input: dict output: ritorna una tupla composta da: int: numero di oggetti eliminati dict: che indica il numero di cancellazioni per quel tipo di oggetto esempio: (1, {'document.Entry': 1})"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DocumentMutationService:
def deleteDocument(self, input):
"""cancellazione di un file input: input: dict output: ritorna una tupla composta da: int: numero di oggetti eliminati dict: che indica il numero di cancellazioni per quel tipo di oggetto esempio: (1, {'document.Entry': 1})"""
try:
... | the_stack_v2_python_sparse | legionella/graphqlapp/document/mutationservice.py | RedTurtle/legionella-backend | train | 0 | |
5611d5c7feaedc555e7351eff675a0dbfb2bcd66 | [
"parser.add_argument('instance', help='Cloud SQL instance ID.')\nparser.add_argument('--database', '-d', required=False, help='The database (for example, guestbook) to which the import is made. If not set, it is assumed that the database is specified in the file to be imported.')\nparser.add_argument('--uri', '-u',... | <|body_start_0|>
parser.add_argument('instance', help='Cloud SQL instance ID.')
parser.add_argument('--database', '-d', required=False, help='The database (for example, guestbook) to which the import is made. If not set, it is assumed that the database is specified in the file to be imported.')
... | Imports data into a Cloud SQL instance from Google Cloud Storage. | Import | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Import:
"""Imports data into a Cloud SQL instance from Google Cloud Storage."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. ... | stack_v2_sparse_classes_36k_train_015445 | 3,727 | permissive | [
{
"docstring": "Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. Positional arguments are allowed.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstri... | 3 | stack_v2_sparse_classes_30k_train_002505 | Implement the Python class `Import` described below.
Class description:
Imports data into a Cloud SQL instance from Google Cloud Storage.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add a... | Implement the Python class `Import` described below.
Class description:
Imports data into a Cloud SQL instance from Google Cloud Storage.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add a... | 90d87b2adb1eab7f218b075886aa620d8d6eeedb | <|skeleton|>
class Import:
"""Imports data into a Cloud SQL instance from Google Cloud Storage."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Import:
"""Imports data into a Cloud SQL instance from Google Cloud Storage."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use it to add arguments that go on the command line after this command. Positional ar... | the_stack_v2_python_sparse | old/google-cloud-sdk/lib/googlecloudsdk/sql/tools/instances/import.py | altock/dev | train | 0 |
bda496b4505e2472d022c261b47a174f83b81201 | [
"if custom_values is None:\n custom_values = {}\ndesc = html2plaintext(msg.get('body')) if msg.get('body') else ''\ndefaults = {'name': msg.get('subject') or _('No Subject'), 'description': desc, 'email_from': msg.get('from'), 'email_cc': msg.get('cc'), 'user_id': False, 'partner_id': msg.get('author_id', False)... | <|body_start_0|>
if custom_values is None:
custom_values = {}
desc = html2plaintext(msg.get('body')) if msg.get('body') else ''
defaults = {'name': msg.get('subject') or _('No Subject'), 'description': desc, 'email_from': msg.get('from'), 'email_cc': msg.get('cc'), 'user_id': False, ... | master_gaji | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class master_gaji:
def message_new(self, cr, uid, msg, custom_values=None, context=None):
"""Overrides mail_thread message_new that is called by the mailgateway through message_process. This override updates the document according to the email."""
<|body_0|>
def message_update(sel... | stack_v2_sparse_classes_36k_train_015446 | 7,579 | no_license | [
{
"docstring": "Overrides mail_thread message_new that is called by the mailgateway through message_process. This override updates the document according to the email.",
"name": "message_new",
"signature": "def message_new(self, cr, uid, msg, custom_values=None, context=None)"
},
{
"docstring": ... | 2 | null | Implement the Python class `master_gaji` described below.
Class description:
Implement the master_gaji class.
Method signatures and docstrings:
- def message_new(self, cr, uid, msg, custom_values=None, context=None): Overrides mail_thread message_new that is called by the mailgateway through message_process. This ove... | Implement the Python class `master_gaji` described below.
Class description:
Implement the master_gaji class.
Method signatures and docstrings:
- def message_new(self, cr, uid, msg, custom_values=None, context=None): Overrides mail_thread message_new that is called by the mailgateway through message_process. This ove... | c5a5678379649ccdf57a9d55b09b30436428b430 | <|skeleton|>
class master_gaji:
def message_new(self, cr, uid, msg, custom_values=None, context=None):
"""Overrides mail_thread message_new that is called by the mailgateway through message_process. This override updates the document according to the email."""
<|body_0|>
def message_update(sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class master_gaji:
def message_new(self, cr, uid, msg, custom_values=None, context=None):
"""Overrides mail_thread message_new that is called by the mailgateway through message_process. This override updates the document according to the email."""
if custom_values is None:
custom_values ... | the_stack_v2_python_sparse | lucas_marin/hrd_ppi_payroll/hr_contract.py | adahra/addons | train | 1 | |
0195284ae71a3a93343c1a96eb39a06452e8af31 | [
"page = self.get_argument_int('page', default='1')\nname_or_text_like = self.get_argument_str('name_or_text_like', min_len=0, max_len=127, default='')\n\ndef response(request, max_page, review_list):\n request.send_json({'code': 0, 'max_page': max_page, 'review_list': review_list})\nif name_or_text_like == '':\n... | <|body_start_0|>
page = self.get_argument_int('page', default='1')
name_or_text_like = self.get_argument_str('name_or_text_like', min_len=0, max_len=127, default='')
def response(request, max_page, review_list):
request.send_json({'code': 0, 'max_page': max_page, 'review_list': revi... | 评论处理 | ReviewHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReviewHandler:
"""评论处理"""
async def get(self):
"""# 获取评论列表,没有按照套路出牌,应该是获取单条评论"""
<|body_0|>
async def delete(self):
"""# 根据评论ID删除评论"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
page = self.get_argument_int('page', default='1')
name_or... | stack_v2_sparse_classes_36k_train_015447 | 1,105 | permissive | [
{
"docstring": "# 获取评论列表,没有按照套路出牌,应该是获取单条评论",
"name": "get",
"signature": "async def get(self)"
},
{
"docstring": "# 根据评论ID删除评论",
"name": "delete",
"signature": "async def delete(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007273 | Implement the Python class `ReviewHandler` described below.
Class description:
评论处理
Method signatures and docstrings:
- async def get(self): # 获取评论列表,没有按照套路出牌,应该是获取单条评论
- async def delete(self): # 根据评论ID删除评论 | Implement the Python class `ReviewHandler` described below.
Class description:
评论处理
Method signatures and docstrings:
- async def get(self): # 获取评论列表,没有按照套路出牌,应该是获取单条评论
- async def delete(self): # 根据评论ID删除评论
<|skeleton|>
class ReviewHandler:
"""评论处理"""
async def get(self):
"""# 获取评论列表,没有按照套路出牌,应该是获取... | 2a6f44f86469bfbb472dfd1bec4238587d8402bf | <|skeleton|>
class ReviewHandler:
"""评论处理"""
async def get(self):
"""# 获取评论列表,没有按照套路出牌,应该是获取单条评论"""
<|body_0|>
async def delete(self):
"""# 根据评论ID删除评论"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReviewHandler:
"""评论处理"""
async def get(self):
"""# 获取评论列表,没有按照套路出牌,应该是获取单条评论"""
page = self.get_argument_int('page', default='1')
name_or_text_like = self.get_argument_str('name_or_text_like', min_len=0, max_len=127, default='')
def response(request, max_page, review_lis... | the_stack_v2_python_sparse | backend/blog/handler/admin/review.py | o8oo8o/blog | train | 0 |
b992550f26593f09a6912f5c91970c7aecfde264 | [
"for x in range(len(nums)):\n for y in range(len(nums)):\n if x != y and nums[x] + nums[y] == target:\n return [x, y]",
"if len(nums) <= 1:\n return False\nbuff_dict = {}\nfor i in range(len(nums)):\n if nums[i] in buff_dict:\n return [buff_dict[nums[i]], i]\n else:\n b... | <|body_start_0|>
for x in range(len(nums)):
for y in range(len(nums)):
if x != y and nums[x] + nums[y] == target:
return [x, y]
<|end_body_0|>
<|body_start_1|>
if len(nums) <= 1:
return False
buff_dict = {}
for i in range(len(n... | Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1]. | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1].""... | stack_v2_sparse_classes_36k_train_015448 | 1,292 | permissive | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int] O(n^2)",
"name": "twoSum",
"signature": "def twoSum(self, nums, target)"
},
{
"docstring": "O(n)",
"name": "twoSumBest",
"signature": "def twoSumBest(self, nums, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001061 | Implement the Python class `Solution` described below.
Class description:
Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] ... | Implement the Python class `Solution` described below.
Class description:
Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] ... | 0420fbcbebad3b746db63b9e9a5878b4af8ad6ac | <|skeleton|>
class Solution:
"""Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1].""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1]."""
def tw... | the_stack_v2_python_sparse | leetcode/array/easy/twoSum.py | joway/PyAlgorithm | train | 1 |
3b5938f4ae413e2973823b2d914ae58679f3a8c5 | [
"auth = None\nif request.username or request.password:\n auth = (request.username, request.password)\nresponse = requests.request(HttpMethodEnum.to_string(request.http_method), request.query_url, headers=request.headers, params=request.query_parameters, data=request.parameters, files=request.files, auth=auth)\nr... | <|body_start_0|>
auth = None
if request.username or request.password:
auth = (request.username, request.password)
response = requests.request(HttpMethodEnum.to_string(request.http_method), request.query_url, headers=request.headers, params=request.query_parameters, data=request.param... | An implementation of HttpClient that uses Requests as its HTTP Client | RequestsClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RequestsClient:
"""An implementation of HttpClient that uses Requests as its HTTP Client"""
def execute_as_string(self, request):
"""Execute a given HttpRequest to get a string response back Args: request (HttpRequest): The given HttpRequest to execute. Returns: HttpResponse: The res... | stack_v2_sparse_classes_36k_train_015449 | 2,815 | permissive | [
{
"docstring": "Execute a given HttpRequest to get a string response back Args: request (HttpRequest): The given HttpRequest to execute. Returns: HttpResponse: The response of the HttpRequest.",
"name": "execute_as_string",
"signature": "def execute_as_string(self, request)"
},
{
"docstring": "E... | 3 | stack_v2_sparse_classes_30k_train_002485 | Implement the Python class `RequestsClient` described below.
Class description:
An implementation of HttpClient that uses Requests as its HTTP Client
Method signatures and docstrings:
- def execute_as_string(self, request): Execute a given HttpRequest to get a string response back Args: request (HttpRequest): The giv... | Implement the Python class `RequestsClient` described below.
Class description:
An implementation of HttpClient that uses Requests as its HTTP Client
Method signatures and docstrings:
- def execute_as_string(self, request): Execute a given HttpRequest to get a string response back Args: request (HttpRequest): The giv... | e65347f1c4fe6ef014648db4e3b25d0392f820d0 | <|skeleton|>
class RequestsClient:
"""An implementation of HttpClient that uses Requests as its HTTP Client"""
def execute_as_string(self, request):
"""Execute a given HttpRequest to get a string response back Args: request (HttpRequest): The given HttpRequest to execute. Returns: HttpResponse: The res... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RequestsClient:
"""An implementation of HttpClient that uses Requests as its HTTP Client"""
def execute_as_string(self, request):
"""Execute a given HttpRequest to get a string response back Args: request (HttpRequest): The given HttpRequest to execute. Returns: HttpResponse: The response of the ... | the_stack_v2_python_sparse | moesifapi/http/requests_client.py | Moesif/moesifapi-python | train | 5 |
22212173318c3f7458e62e0ed582e2a66f9e5f43 | [
"if self.arguments:\n self.options['project_name'] = self.arguments[0]\ntargetid = f\"installation-{self.env.new_serialno('sphinx-toolbox installation'):d}\"\ntargetnode = nodes.target('', '', ids=[targetid])\ncontent = make_installation_instructions(self.options, self.env)\nview = ViewList(content)\ninstallatio... | <|body_start_0|>
if self.arguments:
self.options['project_name'] = self.arguments[0]
targetid = f"installation-{self.env.new_serialno('sphinx-toolbox installation'):d}"
targetnode = nodes.target('', '', ids=[targetid])
content = make_installation_instructions(self.options, se... | Directive to show installation instructions. | InstallationDirective | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InstallationDirective:
"""Directive to show installation instructions."""
def run_html(self) -> List[nodes.Node]:
"""Generate output for ``HTML`` builders."""
<|body_0|>
def run_generic(self) -> List[nodes.Node]:
"""Generate generic reStructuredText output."""
... | stack_v2_sparse_classes_36k_train_015450 | 20,436 | no_license | [
{
"docstring": "Generate output for ``HTML`` builders.",
"name": "run_html",
"signature": "def run_html(self) -> List[nodes.Node]"
},
{
"docstring": "Generate generic reStructuredText output.",
"name": "run_generic",
"signature": "def run_generic(self) -> List[nodes.Node]"
},
{
"... | 3 | null | Implement the Python class `InstallationDirective` described below.
Class description:
Directive to show installation instructions.
Method signatures and docstrings:
- def run_html(self) -> List[nodes.Node]: Generate output for ``HTML`` builders.
- def run_generic(self) -> List[nodes.Node]: Generate generic reStructu... | Implement the Python class `InstallationDirective` described below.
Class description:
Directive to show installation instructions.
Method signatures and docstrings:
- def run_html(self) -> List[nodes.Node]: Generate output for ``HTML`` builders.
- def run_generic(self) -> List[nodes.Node]: Generate generic reStructu... | 64c071d6d53576e0fa6ed0fe544bbc4811546991 | <|skeleton|>
class InstallationDirective:
"""Directive to show installation instructions."""
def run_html(self) -> List[nodes.Node]:
"""Generate output for ``HTML`` builders."""
<|body_0|>
def run_generic(self) -> List[nodes.Node]:
"""Generate generic reStructuredText output."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InstallationDirective:
"""Directive to show installation instructions."""
def run_html(self) -> List[nodes.Node]:
"""Generate output for ``HTML`` builders."""
if self.arguments:
self.options['project_name'] = self.arguments[0]
targetid = f"installation-{self.env.new_se... | the_stack_v2_python_sparse | venv/lib/python3.9/site-packages/sphinx_toolbox/installation.py | felipe1297/networkPacketGetter | train | 0 |
0b1a60e767d7de7ca2687912534877a99d16c454 | [
"self.host = host\nself.port = port\nself.user = user\nself.password = password",
"for chunk in data:\n if not isinstance(chunk, tuple):\n continue\n match = UID_EXTRACTOR.search(chunk[0])\n if match is None:\n logger.debug(f'Could not find UID in: {chunk[0]}')\n raise IMAPClientErro... | <|body_start_0|>
self.host = host
self.port = port
self.user = user
self.password = password
<|end_body_0|>
<|body_start_1|>
for chunk in data:
if not isinstance(chunk, tuple):
continue
match = UID_EXTRACTOR.search(chunk[0])
if... | IMAP4 (SSL) email client. Attributes: DEFAULT_PORT: Value to be used for the `port` attribute of the constructor if unspecified. Set to the standard IMAP4 SSL port. DEFAULT_MAILBOX: Value to be used for the `mailbox` attribute of the yield_messages() method if unspecified. Set to "INBOX". | IMAP_SSLClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IMAP_SSLClient:
"""IMAP4 (SSL) email client. Attributes: DEFAULT_PORT: Value to be used for the `port` attribute of the constructor if unspecified. Set to the standard IMAP4 SSL port. DEFAULT_MAILBOX: Value to be used for the `mailbox` attribute of the yield_messages() method if unspecified. Set ... | stack_v2_sparse_classes_36k_train_015451 | 11,807 | no_license | [
{
"docstring": "Constructor. Args: host: The hostname (without protocol or port) of the IMAP4 server. port: The port of the IMAP4 server to connect to. If unspecified, uses the default. user: The user name or email address to send with the LOGIN command. password: The password to send with the LOGIN command.",
... | 3 | stack_v2_sparse_classes_30k_train_008383 | Implement the Python class `IMAP_SSLClient` described below.
Class description:
IMAP4 (SSL) email client. Attributes: DEFAULT_PORT: Value to be used for the `port` attribute of the constructor if unspecified. Set to the standard IMAP4 SSL port. DEFAULT_MAILBOX: Value to be used for the `mailbox` attribute of the yield... | Implement the Python class `IMAP_SSLClient` described below.
Class description:
IMAP4 (SSL) email client. Attributes: DEFAULT_PORT: Value to be used for the `port` attribute of the constructor if unspecified. Set to the standard IMAP4 SSL port. DEFAULT_MAILBOX: Value to be used for the `mailbox` attribute of the yield... | 72e73cd10465095b19772c79c45432e997f9a7e7 | <|skeleton|>
class IMAP_SSLClient:
"""IMAP4 (SSL) email client. Attributes: DEFAULT_PORT: Value to be used for the `port` attribute of the constructor if unspecified. Set to the standard IMAP4 SSL port. DEFAULT_MAILBOX: Value to be used for the `mailbox` attribute of the yield_messages() method if unspecified. Set ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IMAP_SSLClient:
"""IMAP4 (SSL) email client. Attributes: DEFAULT_PORT: Value to be used for the `port` attribute of the constructor if unspecified. Set to the standard IMAP4 SSL port. DEFAULT_MAILBOX: Value to be used for the `mailbox` attribute of the yield_messages() method if unspecified. Set to "INBOX".""... | the_stack_v2_python_sparse | windowbox/clients/imap.py | smitelli/windowbox | train | 0 |
87549ddd9cc78c3d6f348873ffdd32e287d3a6c8 | [
"with self.assertRaises(wx.PyNoAppError):\n frame = wx.Frame(None)\n frame.Close()",
"app = wx.App()\nframe = wx.Frame(None)\nframe.Show()\nframe.Close()\napp.MainLoop()"
] | <|body_start_0|>
with self.assertRaises(wx.PyNoAppError):
frame = wx.Frame(None)
frame.Close()
<|end_body_0|>
<|body_start_1|>
app = wx.App()
frame = wx.Frame(None)
frame.Show()
frame.Close()
app.MainLoop()
<|end_body_1|>
| TestMustHaveApp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestMustHaveApp:
def test_mustHaveApp0(self):
"""Test that an exception is raised if there is no app"""
<|body_0|>
def test_mustHaveApp1(self):
"""Create App and then create a frame"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
with self.assertRai... | stack_v2_sparse_classes_36k_train_015452 | 690 | no_license | [
{
"docstring": "Test that an exception is raised if there is no app",
"name": "test_mustHaveApp0",
"signature": "def test_mustHaveApp0(self)"
},
{
"docstring": "Create App and then create a frame",
"name": "test_mustHaveApp1",
"signature": "def test_mustHaveApp1(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007422 | Implement the Python class `TestMustHaveApp` described below.
Class description:
Implement the TestMustHaveApp class.
Method signatures and docstrings:
- def test_mustHaveApp0(self): Test that an exception is raised if there is no app
- def test_mustHaveApp1(self): Create App and then create a frame | Implement the Python class `TestMustHaveApp` described below.
Class description:
Implement the TestMustHaveApp class.
Method signatures and docstrings:
- def test_mustHaveApp0(self): Test that an exception is raised if there is no app
- def test_mustHaveApp1(self): Create App and then create a frame
<|skeleton|>
cla... | a1184286703cf24c4b88e5bc14cf2979c1b1ea00 | <|skeleton|>
class TestMustHaveApp:
def test_mustHaveApp0(self):
"""Test that an exception is raised if there is no app"""
<|body_0|>
def test_mustHaveApp1(self):
"""Create App and then create a frame"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestMustHaveApp:
def test_mustHaveApp0(self):
"""Test that an exception is raised if there is no app"""
with self.assertRaises(wx.PyNoAppError):
frame = wx.Frame(None)
frame.Close()
def test_mustHaveApp1(self):
"""Create App and then create a frame"""
... | the_stack_v2_python_sparse | unittests/test_mustHaveApp.py | wxWidgets/Phoenix | train | 2,268 | |
7d860aa0ca1b8a52b96a328fd7860c5510927a51 | [
"test_data = os.path.join(TEST_DIR_PATH, 'testcases', 'yara_test_data')\nwith tempfile.TemporaryDirectory() as tmp_dir:\n project_name = 'yara'\n old_commit = 'f79be4f2330f4b89ea2f42e1c44ca998c59a0c0f'\n new_commit = 'f50a39051ea8c7f10d6d8db9656658b49601caef'\n fuzzer = 'rules_fuzzer'\n yara_repo_man... | <|body_start_0|>
test_data = os.path.join(TEST_DIR_PATH, 'testcases', 'yara_test_data')
with tempfile.TemporaryDirectory() as tmp_dir:
project_name = 'yara'
old_commit = 'f79be4f2330f4b89ea2f42e1c44ca998c59a0c0f'
new_commit = 'f50a39051ea8c7f10d6d8db9656658b49601caef'... | Testing if an image can be built from different states e.g. a commit. | BuildImageIntegrationTests | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildImageIntegrationTests:
"""Testing if an image can be built from different states e.g. a commit."""
def test_build_fuzzers_from_commit(self):
"""Tests if the fuzzers can build at a proper commit. This is done by using a known regression range for a specific test case. The old com... | stack_v2_sparse_classes_36k_train_015453 | 5,295 | permissive | [
{
"docstring": "Tests if the fuzzers can build at a proper commit. This is done by using a known regression range for a specific test case. The old commit should show the error when its fuzzers run and the new one should not.",
"name": "test_build_fuzzers_from_commit",
"signature": "def test_build_fuzze... | 3 | stack_v2_sparse_classes_30k_train_004352 | Implement the Python class `BuildImageIntegrationTests` described below.
Class description:
Testing if an image can be built from different states e.g. a commit.
Method signatures and docstrings:
- def test_build_fuzzers_from_commit(self): Tests if the fuzzers can build at a proper commit. This is done by using a kno... | Implement the Python class `BuildImageIntegrationTests` described below.
Class description:
Testing if an image can be built from different states e.g. a commit.
Method signatures and docstrings:
- def test_build_fuzzers_from_commit(self): Tests if the fuzzers can build at a proper commit. This is done by using a kno... | 8e2d57684bd49355b80572592c3af5cefc19a69c | <|skeleton|>
class BuildImageIntegrationTests:
"""Testing if an image can be built from different states e.g. a commit."""
def test_build_fuzzers_from_commit(self):
"""Tests if the fuzzers can build at a proper commit. This is done by using a known regression range for a specific test case. The old com... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BuildImageIntegrationTests:
"""Testing if an image can be built from different states e.g. a commit."""
def test_build_fuzzers_from_commit(self):
"""Tests if the fuzzers can build at a proper commit. This is done by using a known regression range for a specific test case. The old commit should sh... | the_stack_v2_python_sparse | infra/build_specified_commit_test.py | DeepInThought/oss-fuzz | train | 2 |
401d403c50e760ba43d886874933abae5414aa63 | [
"matched = re.match(cls.uri_regex, str(uri))\nif not matched:\n Log.a().debug('invalid uri: %s', uri)\n return False\nscheme = matched.group(2)\nif not scheme:\n scheme = 'local'\nauthority = matched.group(4) if matched.group(4) else ''\npath = matched.group(5) if matched.group(5) else '/'\npath = re.sub('... | <|body_start_0|>
matched = re.match(cls.uri_regex, str(uri))
if not matched:
Log.a().debug('invalid uri: %s', uri)
return False
scheme = matched.group(2)
if not scheme:
scheme = 'local'
authority = matched.group(4) if matched.group(4) else ''
... | Light-weight URI parser adhering to part of RFC 3986. This URI parser is not comprehensive, but implements enough of the standard to recognize the following URI pattern: scheme://authority/path/to/name/.. "scheme" and "authority" are optional. It will also extract the folder.. and name from the path. For the above exam... | URIParser | [
"LicenseRef-scancode-us-govt-public-domain",
"CC0-1.0",
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class URIParser:
"""Light-weight URI parser adhering to part of RFC 3986. This URI parser is not comprehensive, but implements enough of the standard to recognize the following URI pattern: scheme://authority/path/to/name/.. "scheme" and "authority" are optional. It will also extract the folder.. and n... | stack_v2_sparse_classes_36k_train_015454 | 5,792 | permissive | [
{
"docstring": "Parse a URI and return components. If the scheme is missing, it.. defaults to \"local\". Args: uri: A generic URI string. Returns: On success: A dict that contains \"uri\", \"scheme\", \"authority\", and \"path\", etc: { \"uri\": original URI \"chopped_uri\": normalized URI \"scheme\": \"authori... | 2 | stack_v2_sparse_classes_30k_train_000419 | Implement the Python class `URIParser` described below.
Class description:
Light-weight URI parser adhering to part of RFC 3986. This URI parser is not comprehensive, but implements enough of the standard to recognize the following URI pattern: scheme://authority/path/to/name/.. "scheme" and "authority" are optional. ... | Implement the Python class `URIParser` described below.
Class description:
Light-weight URI parser adhering to part of RFC 3986. This URI parser is not comprehensive, but implements enough of the standard to recognize the following URI pattern: scheme://authority/path/to/name/.. "scheme" and "authority" are optional. ... | 2de8dbb5c022fafded5c7335c1e00766d17b44fa | <|skeleton|>
class URIParser:
"""Light-weight URI parser adhering to part of RFC 3986. This URI parser is not comprehensive, but implements enough of the standard to recognize the following URI pattern: scheme://authority/path/to/name/.. "scheme" and "authority" are optional. It will also extract the folder.. and n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class URIParser:
"""Light-weight URI parser adhering to part of RFC 3986. This URI parser is not comprehensive, but implements enough of the standard to recognize the following URI pattern: scheme://authority/path/to/name/.. "scheme" and "authority" are optional. It will also extract the folder.. and name from the ... | the_stack_v2_python_sparse | src/geneflow/uri_parser.py | CDCgov/geneflow2 | train | 2 |
2e56f7458de7172fce86ef388881bd22b670308d | [
"super(PointerNet, self).__init__()\nself.embedding_dim = embedding_dim\nself.bidir = bidir\nself.para_encoder = Encoder(embedding_dim, hidden_dim, lstm_layers, dropout, bidir)\nself.question_encoder = Encoder(embedding_dim, hidden_dim, lstm_layers, dropout, bidir)\nself.downsize_linear = nn.Linear(2 * hidden_dim, ... | <|body_start_0|>
super(PointerNet, self).__init__()
self.embedding_dim = embedding_dim
self.bidir = bidir
self.para_encoder = Encoder(embedding_dim, hidden_dim, lstm_layers, dropout, bidir)
self.question_encoder = Encoder(embedding_dim, hidden_dim, lstm_layers, dropout, bidir)
... | Pointer-Net | PointerNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PointerNet:
"""Pointer-Net"""
def __init__(self, vocab_sz, embedding_dim, hidden_dim, lstm_layers, dropout, bidir=False):
"""Initiate Pointer-Net :param int embedding_dim: Number of embbeding channels :param int hidden_dim: Encoders hidden units :param int lstm_layers: Number of laye... | stack_v2_sparse_classes_36k_train_015455 | 14,528 | no_license | [
{
"docstring": "Initiate Pointer-Net :param int embedding_dim: Number of embbeding channels :param int hidden_dim: Encoders hidden units :param int lstm_layers: Number of layers for LSTMs :param float dropout: Float between 0-1 :param bool bidir: Bidirectional",
"name": "__init__",
"signature": "def __i... | 2 | stack_v2_sparse_classes_30k_train_007033 | Implement the Python class `PointerNet` described below.
Class description:
Pointer-Net
Method signatures and docstrings:
- def __init__(self, vocab_sz, embedding_dim, hidden_dim, lstm_layers, dropout, bidir=False): Initiate Pointer-Net :param int embedding_dim: Number of embbeding channels :param int hidden_dim: Enc... | Implement the Python class `PointerNet` described below.
Class description:
Pointer-Net
Method signatures and docstrings:
- def __init__(self, vocab_sz, embedding_dim, hidden_dim, lstm_layers, dropout, bidir=False): Initiate Pointer-Net :param int embedding_dim: Number of embbeding channels :param int hidden_dim: Enc... | f4b63e6643fe5e2112cc5afa5915a2b847c29e06 | <|skeleton|>
class PointerNet:
"""Pointer-Net"""
def __init__(self, vocab_sz, embedding_dim, hidden_dim, lstm_layers, dropout, bidir=False):
"""Initiate Pointer-Net :param int embedding_dim: Number of embbeding channels :param int hidden_dim: Encoders hidden units :param int lstm_layers: Number of laye... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PointerNet:
"""Pointer-Net"""
def __init__(self, vocab_sz, embedding_dim, hidden_dim, lstm_layers, dropout, bidir=False):
"""Initiate Pointer-Net :param int embedding_dim: Number of embbeding channels :param int hidden_dim: Encoders hidden units :param int lstm_layers: Number of layers for LSTMs ... | the_stack_v2_python_sparse | PointerNet.py | Nishad94/SQuAD_PtrNets | train | 0 |
414066553086dd0ceb7e4a5861656b1c1695ed38 | [
"assert instance is None\nsuper(UserApplicationCreationForm, self).__init__(data=data, initial=initial, instance=instance)\nself.user = user\nself.fields['local_site'].queryset = LocalSite.objects.filter(users=user)",
"instance = super(UserApplicationCreationForm, self).save(commit=False)\ninstance.user = self.us... | <|body_start_0|>
assert instance is None
super(UserApplicationCreationForm, self).__init__(data=data, initial=initial, instance=instance)
self.user = user
self.fields['local_site'].queryset = LocalSite.objects.filter(users=user)
<|end_body_0|>
<|body_start_1|>
instance = super(U... | A form for an end user to update an Application. | UserApplicationCreationForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserApplicationCreationForm:
"""A form for an end user to update an Application."""
def __init__(self, user, data, initial=None, instance=None):
"""Initialize the form. Args: user (django.contrib.auth.models.User): The user changing the form. Ignored, but included to match :py:meth:`... | stack_v2_sparse_classes_36k_train_015456 | 13,782 | permissive | [
{
"docstring": "Initialize the form. Args: user (django.contrib.auth.models.User): The user changing the form. Ignored, but included to match :py:meth:`UserApplicationCreationForm.__init__`. data (dict): The provided data. initial (dict, optional): The initial form values. instance (reviewboard.oauth.models.App... | 2 | stack_v2_sparse_classes_30k_train_020108 | Implement the Python class `UserApplicationCreationForm` described below.
Class description:
A form for an end user to update an Application.
Method signatures and docstrings:
- def __init__(self, user, data, initial=None, instance=None): Initialize the form. Args: user (django.contrib.auth.models.User): The user cha... | Implement the Python class `UserApplicationCreationForm` described below.
Class description:
A form for an end user to update an Application.
Method signatures and docstrings:
- def __init__(self, user, data, initial=None, instance=None): Initialize the form. Args: user (django.contrib.auth.models.User): The user cha... | c3a991f1e9d7682239a1ab0e8661cee6da01d537 | <|skeleton|>
class UserApplicationCreationForm:
"""A form for an end user to update an Application."""
def __init__(self, user, data, initial=None, instance=None):
"""Initialize the form. Args: user (django.contrib.auth.models.User): The user changing the form. Ignored, but included to match :py:meth:`... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserApplicationCreationForm:
"""A form for an end user to update an Application."""
def __init__(self, user, data, initial=None, instance=None):
"""Initialize the form. Args: user (django.contrib.auth.models.User): The user changing the form. Ignored, but included to match :py:meth:`UserApplicati... | the_stack_v2_python_sparse | reviewboard/oauth/forms.py | reviewboard/reviewboard | train | 1,141 |
a9ae5460e68b76d60e0af2057808b8cc6f08b53e | [
"print('+' * 64)\ndetailUrls = response.css('tr.even a::attr(href),tr.odd a::attr(href)').extract()\nfor url in detailUrls:\n fullUrl = response.urljoin(url)\n print(fullUrl)\n yield scrapy.Request(url=fullUrl, callback=self.parse_page)\nprint('-' * 64)\nnextUrl = response.css('#next::attr(href)').extract_... | <|body_start_0|>
print('+' * 64)
detailUrls = response.css('tr.even a::attr(href),tr.odd a::attr(href)').extract()
for url in detailUrls:
fullUrl = response.urljoin(url)
print(fullUrl)
yield scrapy.Request(url=fullUrl, callback=self.parse_page)
print('... | HrSpider | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HrSpider:
def parse(self, response):
"""解析当前招聘列表信息的url地址"""
<|body_0|>
def parse_page(self, response):
"""解析详情页"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
print('+' * 64)
detailUrls = response.css('tr.even a::attr(href),tr.odd a::attr(h... | stack_v2_sparse_classes_36k_train_015457 | 1,821 | permissive | [
{
"docstring": "解析当前招聘列表信息的url地址",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "解析详情页",
"name": "parse_page",
"signature": "def parse_page(self, response)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015328 | Implement the Python class `HrSpider` described below.
Class description:
Implement the HrSpider class.
Method signatures and docstrings:
- def parse(self, response): 解析当前招聘列表信息的url地址
- def parse_page(self, response): 解析详情页 | Implement the Python class `HrSpider` described below.
Class description:
Implement the HrSpider class.
Method signatures and docstrings:
- def parse(self, response): 解析当前招聘列表信息的url地址
- def parse_page(self, response): 解析详情页
<|skeleton|>
class HrSpider:
def parse(self, response):
"""解析当前招聘列表信息的url地址"""
... | e851524917b60e7308172bc235597b7c578882cc | <|skeleton|>
class HrSpider:
def parse(self, response):
"""解析当前招聘列表信息的url地址"""
<|body_0|>
def parse_page(self, response):
"""解析详情页"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HrSpider:
def parse(self, response):
"""解析当前招聘列表信息的url地址"""
print('+' * 64)
detailUrls = response.css('tr.even a::attr(href),tr.odd a::attr(href)').extract()
for url in detailUrls:
fullUrl = response.urljoin(url)
print(fullUrl)
yield scrapy.R... | the_stack_v2_python_sparse | 9th_week/tencent/tencent/spiders/hr.py | luhuadong/Python_Learning | train | 1 | |
fd870f007d03036bafb3d1d54f73e97f37d00fa2 | [
"if obj is None:\n return super(UseCaseAdminInLine, self).has_delete_permission(request, obj=None)\nelif (request.user == obj.created_by or request.user.has_perm('muo.can_edit_all')) and obj.status in ('draft', 'rejected'):\n return super(UseCaseAdminInLine, self).has_delete_permission(request, obj=None)\nels... | <|body_start_0|>
if obj is None:
return super(UseCaseAdminInLine, self).has_delete_permission(request, obj=None)
elif (request.user == obj.created_by or request.user.has_perm('muo.can_edit_all')) and obj.status in ('draft', 'rejected'):
return super(UseCaseAdminInLine, self).has_... | UseCaseAdminInLine | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UseCaseAdminInLine:
def has_delete_permission(self, request, obj=None):
"""Overriding the method such that the delete option on the UseCaseAdminInline form on change form is not available for the users except the original author or users with 'can_edit_all' permission. The delete option ... | stack_v2_sparse_classes_36k_train_015458 | 18,243 | no_license | [
{
"docstring": "Overriding the method such that the delete option on the UseCaseAdminInline form on change form is not available for the users except the original author or users with 'can_edit_all' permission. The delete option is only available to the original author or users with 'can_edit_all' permission if... | 3 | stack_v2_sparse_classes_30k_train_004338 | Implement the Python class `UseCaseAdminInLine` described below.
Class description:
Implement the UseCaseAdminInLine class.
Method signatures and docstrings:
- def has_delete_permission(self, request, obj=None): Overriding the method such that the delete option on the UseCaseAdminInline form on change form is not ava... | Implement the Python class `UseCaseAdminInLine` described below.
Class description:
Implement the UseCaseAdminInLine class.
Method signatures and docstrings:
- def has_delete_permission(self, request, obj=None): Overriding the method such that the delete option on the UseCaseAdminInline form on change form is not ava... | d9b330ef70b0d0985bfc8248612ba57ee46ff0f4 | <|skeleton|>
class UseCaseAdminInLine:
def has_delete_permission(self, request, obj=None):
"""Overriding the method such that the delete option on the UseCaseAdminInline form on change form is not available for the users except the original author or users with 'can_edit_all' permission. The delete option ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UseCaseAdminInLine:
def has_delete_permission(self, request, obj=None):
"""Overriding the method such that the delete option on the UseCaseAdminInline form on change form is not available for the users except the original author or users with 'can_edit_all' permission. The delete option is only availa... | the_stack_v2_python_sparse | Code/EnhanceCWE-master/muo/admin.py | happinesstaker/more-website | train | 0 | |
420e41a6194bb6311df86b6d03861e2200850968 | [
"super(MultiHeaderAttention, self).__init__()\nassert d_model % h == 0\nself.d_k = d_model // h\nself.h = h\nself.linears = clones(nn.Linear(d_model, d_model), 4)\nself.attn = None\nself.dropout = nn.Dropout(p=dropout)",
"if mask is not None:\n mask = mask.unsqueeze(1)\nnbatches = query.size(0)\nquery, key, va... | <|body_start_0|>
super(MultiHeaderAttention, self).__init__()
assert d_model % h == 0
self.d_k = d_model // h
self.h = h
self.linears = clones(nn.Linear(d_model, d_model), 4)
self.attn = None
self.dropout = nn.Dropout(p=dropout)
<|end_body_0|>
<|body_start_1|>
... | MultiHeaderAttention | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiHeaderAttention:
def __init__(self, h, d_model, dropout=0.1):
"""Take in model size and number of heads."""
<|body_0|>
def forward(self, query, key, value, mask=None):
"""Implements Figure 2"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super... | stack_v2_sparse_classes_36k_train_015459 | 32,837 | no_license | [
{
"docstring": "Take in model size and number of heads.",
"name": "__init__",
"signature": "def __init__(self, h, d_model, dropout=0.1)"
},
{
"docstring": "Implements Figure 2",
"name": "forward",
"signature": "def forward(self, query, key, value, mask=None)"
}
] | 2 | null | Implement the Python class `MultiHeaderAttention` described below.
Class description:
Implement the MultiHeaderAttention class.
Method signatures and docstrings:
- def __init__(self, h, d_model, dropout=0.1): Take in model size and number of heads.
- def forward(self, query, key, value, mask=None): Implements Figure ... | Implement the Python class `MultiHeaderAttention` described below.
Class description:
Implement the MultiHeaderAttention class.
Method signatures and docstrings:
- def __init__(self, h, d_model, dropout=0.1): Take in model size and number of heads.
- def forward(self, query, key, value, mask=None): Implements Figure ... | 0e3598a20214dd78deb4f5e6809f7789722f6f5d | <|skeleton|>
class MultiHeaderAttention:
def __init__(self, h, d_model, dropout=0.1):
"""Take in model size and number of heads."""
<|body_0|>
def forward(self, query, key, value, mask=None):
"""Implements Figure 2"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiHeaderAttention:
def __init__(self, h, d_model, dropout=0.1):
"""Take in model size and number of heads."""
super(MultiHeaderAttention, self).__init__()
assert d_model % h == 0
self.d_k = d_model // h
self.h = h
self.linears = clones(nn.Linear(d_model, d_mo... | the_stack_v2_python_sparse | 17-word_language_model-pytorch/attentionisallyouneed.py | bjbluejita/deep-learning-notebook | train | 0 | |
f5a3ebef506f78c66bbd38db36cc86b28c1598e3 | [
"self.hook = hook\nself.torch_modules = {'torch': torch, 'torch.functional': torch.functional, 'torch.nn.functional': torch.nn.functional}\nself._torch_functions = {f'{module_name}.{func_name}' for module_name, torch_module in self.torch_modules.items() for func_name in dir(torch_module)}\nself.exclude = ['as_tenso... | <|body_start_0|>
self.hook = hook
self.torch_modules = {'torch': torch, 'torch.functional': torch.functional, 'torch.nn.functional': torch.nn.functional}
self._torch_functions = {f'{module_name}.{func_name}' for module_name, torch_module in self.torch_modules.items() for func_name in dir(torch_m... | Adds torch module related custom attributes. TorchAttributes is a special class where all custom attributes related to the torch module can be added. Any global parameter, configuration, or reference relating to PyTorch should be stored here instead of attaching it directly to some other part of the global namespace. T... | TorchAttributes | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TorchAttributes:
"""Adds torch module related custom attributes. TorchAttributes is a special class where all custom attributes related to the torch module can be added. Any global parameter, configuration, or reference relating to PyTorch should be stored here instead of attaching it directly to... | stack_v2_sparse_classes_36k_train_015460 | 5,349 | permissive | [
{
"docstring": "Initialization of the TorchAttributes class.",
"name": "__init__",
"signature": "def __init__(self, torch: ModuleType, hook: ModuleType) -> None"
},
{
"docstring": "Determine if a method is inplace or not. Check if the method ends by _ and is not a __xx__, then stash for constant... | 2 | stack_v2_sparse_classes_30k_test_000024 | Implement the Python class `TorchAttributes` described below.
Class description:
Adds torch module related custom attributes. TorchAttributes is a special class where all custom attributes related to the torch module can be added. Any global parameter, configuration, or reference relating to PyTorch should be stored h... | Implement the Python class `TorchAttributes` described below.
Class description:
Adds torch module related custom attributes. TorchAttributes is a special class where all custom attributes related to the torch module can be added. Any global parameter, configuration, or reference relating to PyTorch should be stored h... | cc4765bed880ad38a02505834f63df39e0815328 | <|skeleton|>
class TorchAttributes:
"""Adds torch module related custom attributes. TorchAttributes is a special class where all custom attributes related to the torch module can be added. Any global parameter, configuration, or reference relating to PyTorch should be stored here instead of attaching it directly to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TorchAttributes:
"""Adds torch module related custom attributes. TorchAttributes is a special class where all custom attributes related to the torch module can be added. Any global parameter, configuration, or reference relating to PyTorch should be stored here instead of attaching it directly to some other p... | the_stack_v2_python_sparse | syft/frameworks/torch/torch_attributes.py | tudorcebere/PySyft | train | 2 |
b3d91d707ce94a045011e46d5bd9b7fdce880855 | [
"if root is None:\n return '[]'\nserialize_array = []\nmy_queue = deque([root])\nwhile len(my_queue) > 0:\n element = my_queue.pop()\n if element is None:\n serialize_array.append('null')\n else:\n serialize_array.append(element.val)\n my_queue.appendleft(element.left)\n my_q... | <|body_start_0|>
if root is None:
return '[]'
serialize_array = []
my_queue = deque([root])
while len(my_queue) > 0:
element = my_queue.pop()
if element is None:
serialize_array.append('null')
else:
serialize... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_015461 | 1,610 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_008958 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 0b208516a6ae3e72bc7b79ef0ac83dcbfa100496 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root is None:
return '[]'
serialize_array = []
my_queue = deque([root])
while len(my_queue) > 0:
element = my_queue.pop()
i... | the_stack_v2_python_sparse | leetcode/medium/serialize-and-deserialize-binary-tree.py | gsantam/competitive-programming | train | 0 | |
079f803c4cbf2fa2e3131e274d618fa2caab1b06 | [
"d = {}\nfor i, num in enumerate(nums):\n for val, j in d.items():\n if abs(num - val) <= t and abs(i - j) <= k:\n return True\n d[num] = i\nreturn False",
"bucket = {}\nw = t + 1\nfor i, num in enumerate(nums):\n bucket_id = num / w\n if bucket_id in bucket:\n return True\n ... | <|body_start_0|>
d = {}
for i, num in enumerate(nums):
for val, j in d.items():
if abs(num - val) <= t and abs(i - j) <= k:
return True
d[num] = i
return False
<|end_body_0|>
<|body_start_1|>
bucket = {}
w = t + 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate2(self, nums, k, t):
"""用字典记录 value:index，每次 loop 字典比较 value :type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""桶排序，同样用字典记录 value:index :type nu... | stack_v2_sparse_classes_36k_train_015462 | 2,185 | no_license | [
{
"docstring": "用字典记录 value:index，每次 loop 字典比较 value :type nums: List[int] :type k: int :type t: int :rtype: bool",
"name": "containsNearbyAlmostDuplicate2",
"signature": "def containsNearbyAlmostDuplicate2(self, nums, k, t)"
},
{
"docstring": "桶排序，同样用字典记录 value:index :type nums: List[int] :type... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate2(self, nums, k, t): 用字典记录 value:index，每次 loop 字典比较 value :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmost... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyAlmostDuplicate2(self, nums, k, t): 用字典记录 value:index，每次 loop 字典比较 value :type nums: List[int] :type k: int :type t: int :rtype: bool
- def containsNearbyAlmost... | 860590239da0618c52967a55eda8d6bbe00bfa96 | <|skeleton|>
class Solution:
def containsNearbyAlmostDuplicate2(self, nums, k, t):
"""用字典记录 value:index，每次 loop 字典比较 value :type nums: List[int] :type k: int :type t: int :rtype: bool"""
<|body_0|>
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""桶排序，同样用字典记录 value:index :type nu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def containsNearbyAlmostDuplicate2(self, nums, k, t):
"""用字典记录 value:index，每次 loop 字典比较 value :type nums: List[int] :type k: int :type t: int :rtype: bool"""
d = {}
for i, num in enumerate(nums):
for val, j in d.items():
if abs(num - val) <= t and ... | the_stack_v2_python_sparse | LeetCode/p0220/I/contains-duplicate-iii.py | Ynjxsjmh/PracticeMakesPerfect | train | 0 | |
a6b69b0ef410b335ee48a075033cdc1d05ea64e4 | [
"rows = len(word1) + 1\ncols = len(word2) + 1\ndp = [[0 for j in range(cols)] for i in range(rows)]\nfor irow in range(rows):\n dp[irow][0] = irow\nfor icol in range(cols):\n dp[0][icol] = icol\nfor irow in range(0, rows - 1):\n for icol in range(0, cols - 1):\n if word1[irow] == word2[icol]:\n ... | <|body_start_0|>
rows = len(word1) + 1
cols = len(word2) + 1
dp = [[0 for j in range(cols)] for i in range(rows)]
for irow in range(rows):
dp[irow][0] = irow
for icol in range(cols):
dp[0][icol] = icol
for irow in range(0, rows - 1):
fo... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minDistance(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_0|>
def minDistance_hashtable(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
def minDistance_lcs(self, word1, w... | stack_v2_sparse_classes_36k_train_015463 | 3,756 | permissive | [
{
"docstring": ":type word1: str :type word2: str :rtype: int",
"name": "minDistance",
"signature": "def minDistance(self, word1, word2)"
},
{
"docstring": ":type word1: str :type word2: str :rtype: int",
"name": "minDistance_hashtable",
"signature": "def minDistance_hashtable(self, word... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minDistance(self, word1, word2): :type word1: str :type word2: str :rtype: int
- def minDistance_hashtable(self, word1, word2): :type word1: str :type word2: str :rtype: int
... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minDistance(self, word1, word2): :type word1: str :type word2: str :rtype: int
- def minDistance_hashtable(self, word1, word2): :type word1: str :type word2: str :rtype: int
... | bf03743a3676ca9a8c107f92cf3858b6887d0308 | <|skeleton|>
class Solution:
def minDistance(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_0|>
def minDistance_hashtable(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
def minDistance_lcs(self, word1, w... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minDistance(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
rows = len(word1) + 1
cols = len(word2) + 1
dp = [[0 for j in range(cols)] for i in range(rows)]
for irow in range(rows):
dp[irow][0] = irow
for icol i... | the_stack_v2_python_sparse | python/583_delete_operation_for_two_strings.py | liaison/LeetCode | train | 17 | |
b7a2d94682e6b48916ec4c884ff27a3149596bfc | [
"super().__init__(topic=X10_RECEIVED)\nself._last_housecode = None\nself._last_unitcode = None",
"housecode, uc_or_cmd = parse_x10(raw_x10)\nif x10_flag == X10CommandType.COMMAND:\n self._notify_subscribers(housecode, uc_or_cmd)\nelse:\n self._last_housecode = housecode\n self._last_unitcode = byte_to_un... | <|body_start_0|>
super().__init__(topic=X10_RECEIVED)
self._last_housecode = None
self._last_unitcode = None
<|end_body_0|>
<|body_start_1|>
housecode, uc_or_cmd = parse_x10(raw_x10)
if x10_flag == X10CommandType.COMMAND:
self._notify_subscribers(housecode, uc_or_cmd... | Receive an X10 message. | X10Received | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class X10Received:
"""Receive an X10 message."""
def __init__(self):
"""Init the X10Received class."""
<|body_0|>
def handle_x10_received(self, raw_x10, x10_flag):
"""Manage X10 inbound messages."""
<|body_1|>
def _notify_subscribers(self, housecode, uc_or... | stack_v2_sparse_classes_36k_train_015464 | 1,692 | permissive | [
{
"docstring": "Init the X10Received class.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Manage X10 inbound messages.",
"name": "handle_x10_received",
"signature": "def handle_x10_received(self, raw_x10, x10_flag)"
},
{
"docstring": "Notify subscribe... | 3 | null | Implement the Python class `X10Received` described below.
Class description:
Receive an X10 message.
Method signatures and docstrings:
- def __init__(self): Init the X10Received class.
- def handle_x10_received(self, raw_x10, x10_flag): Manage X10 inbound messages.
- def _notify_subscribers(self, housecode, uc_or_cmd... | Implement the Python class `X10Received` described below.
Class description:
Receive an X10 message.
Method signatures and docstrings:
- def __init__(self): Init the X10Received class.
- def handle_x10_received(self, raw_x10, x10_flag): Manage X10 inbound messages.
- def _notify_subscribers(self, housecode, uc_or_cmd... | 3f74aec8491fbc118c4732dbd990d91d31705845 | <|skeleton|>
class X10Received:
"""Receive an X10 message."""
def __init__(self):
"""Init the X10Received class."""
<|body_0|>
def handle_x10_received(self, raw_x10, x10_flag):
"""Manage X10 inbound messages."""
<|body_1|>
def _notify_subscribers(self, housecode, uc_or... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class X10Received:
"""Receive an X10 message."""
def __init__(self):
"""Init the X10Received class."""
super().__init__(topic=X10_RECEIVED)
self._last_housecode = None
self._last_unitcode = None
def handle_x10_received(self, raw_x10, x10_flag):
"""Manage X10 inbound... | the_stack_v2_python_sparse | pyinsteon/handlers/from_device/x10_received.py | pyinsteon/pyinsteon | train | 26 |
76275827782ca3fb5408a39692d688d09b89efc1 | [
"super().__init__(parse)\nself.table_name = parse['table_name']\ncolumns = parse['table_element_list']\nself.column_order = [c['def_column_name'] for c in columns if 'def_column_name' in c]\nself.column_attributes = {c['def_column_name']: {'data_type': c['data_type']} for c in columns if 'def_column_name' in c}\nif... | <|body_start_0|>
super().__init__(parse)
self.table_name = parse['table_name']
columns = parse['table_element_list']
self.column_order = [c['def_column_name'] for c in columns if 'def_column_name' in c]
self.column_attributes = {c['def_column_name']: {'data_type': c['data_type']}... | CREATE TABLE ... | SQLExecTableDefinition | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SQLExecTableDefinition:
"""CREATE TABLE ..."""
def __init__(self, parse):
"""Create a table with given table_name (string) and table_element_list (from parse tree)."""
<|body_0|>
def execute(self):
"""Execute the statement."""
<|body_1|>
<|end_skeleton|>... | stack_v2_sparse_classes_36k_train_015465 | 14,323 | no_license | [
{
"docstring": "Create a table with given table_name (string) and table_element_list (from parse tree).",
"name": "__init__",
"signature": "def __init__(self, parse)"
},
{
"docstring": "Execute the statement.",
"name": "execute",
"signature": "def execute(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013682 | Implement the Python class `SQLExecTableDefinition` described below.
Class description:
CREATE TABLE ...
Method signatures and docstrings:
- def __init__(self, parse): Create a table with given table_name (string) and table_element_list (from parse tree).
- def execute(self): Execute the statement. | Implement the Python class `SQLExecTableDefinition` described below.
Class description:
CREATE TABLE ...
Method signatures and docstrings:
- def __init__(self, parse): Create a table with given table_name (string) and table_element_list (from parse tree).
- def execute(self): Execute the statement.
<|skeleton|>
clas... | 088210db213ad380bce115d2c40a948b7edf38fa | <|skeleton|>
class SQLExecTableDefinition:
"""CREATE TABLE ..."""
def __init__(self, parse):
"""Create a table with given table_name (string) and table_element_list (from parse tree)."""
<|body_0|>
def execute(self):
"""Execute the statement."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SQLExecTableDefinition:
"""CREATE TABLE ..."""
def __init__(self, parse):
"""Create a table with given table_name (string) and table_element_list (from parse tree)."""
super().__init__(parse)
self.table_name = parse['table_name']
columns = parse['table_element_list']
... | the_stack_v2_python_sparse | sqlexec.py | gradyDiakubama/cpsc5300py | train | 0 |
dca41c46ebaba746596a7cbb7dcee68a37e44e71 | [
"super().__init__()\nself.organization = organization\nself.year_ending = year_ending\nself.case_description = case_description\nself.extra_data_factory = extra_data_factory",
"append_choices = ('a', 'b', 'c')\nfirst_number = str(randint(1, 999))\nsecond_number = str(randint(1, 999))\nres = None\nif randint(0, 1)... | <|body_start_0|>
super().__init__()
self.organization = organization
self.year_ending = year_ending
self.case_description = case_description
self.extra_data_factory = extra_data_factory
<|end_body_0|>
<|body_start_1|>
append_choices = ('a', 'b', 'c')
first_number... | Factory Class for producing PropertyState dict | CreateSampleDataFakePropertyStateFactory | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateSampleDataFakePropertyStateFactory:
"""Factory Class for producing PropertyState dict"""
def __init__(self, organization, year_ending, case_description, extra_data_factory):
""":param organization: The organization that will own the created records :param year_ending: datetime,... | stack_v2_sparse_classes_36k_train_015466 | 40,306 | permissive | [
{
"docstring": ":param organization: The organization that will own the created records :param year_ending: datetime, used to populate the \"year_ending\" field :param case_description: string, used to populate the \"property_notes\" field Useful for sorting by case in the web client. :param extra_data_factory:... | 4 | null | Implement the Python class `CreateSampleDataFakePropertyStateFactory` described below.
Class description:
Factory Class for producing PropertyState dict
Method signatures and docstrings:
- def __init__(self, organization, year_ending, case_description, extra_data_factory): :param organization: The organization that w... | Implement the Python class `CreateSampleDataFakePropertyStateFactory` described below.
Class description:
Factory Class for producing PropertyState dict
Method signatures and docstrings:
- def __init__(self, organization, year_ending, case_description, extra_data_factory): :param organization: The organization that w... | 680b6a2b45f3c568d779d8ac86553a0b08c384c8 | <|skeleton|>
class CreateSampleDataFakePropertyStateFactory:
"""Factory Class for producing PropertyState dict"""
def __init__(self, organization, year_ending, case_description, extra_data_factory):
""":param organization: The organization that will own the created records :param year_ending: datetime,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateSampleDataFakePropertyStateFactory:
"""Factory Class for producing PropertyState dict"""
def __init__(self, organization, year_ending, case_description, extra_data_factory):
""":param organization: The organization that will own the created records :param year_ending: datetime, used to popu... | the_stack_v2_python_sparse | seed/management/commands/create_and_load_sample_data.py | SEED-platform/seed | train | 108 |
0fb98998ddaeef5c4bbfdb856d3133c142f8a643 | [
"context = super().get_context_data(**kwargs)\nt_path = self.request.path.split('/')\np_id = t_path[len(t_path) - 1]\np_type = t_path[len(t_path) - 2]\nif p_type == 'user':\n context['p_user'] = User.objects.get(id=p_id)\nelif p_type == 'team':\n context['team'] = Team.objects.get(id=p_id)\nreturn context",
... | <|body_start_0|>
context = super().get_context_data(**kwargs)
t_path = self.request.path.split('/')
p_id = t_path[len(t_path) - 1]
p_type = t_path[len(t_path) - 2]
if p_type == 'user':
context['p_user'] = User.objects.get(id=p_id)
elif p_type == 'team':
... | Class for listing this user's (or all if admin) QAPP objects. | QappList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QappList:
"""Class for listing this user's (or all if admin) QAPP objects."""
def get_context_data(self, **kwargs):
"""Override the default method to send data to the template. Specifically, include the user or team information for this list of data."""
<|body_0|>
def ge... | stack_v2_sparse_classes_36k_train_015467 | 36,787 | no_license | [
{
"docstring": "Override the default method to send data to the template. Specifically, include the user or team information for this list of data.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Get a list of QAPP objects based on the provide... | 2 | null | Implement the Python class `QappList` described below.
Class description:
Class for listing this user's (or all if admin) QAPP objects.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Override the default method to send data to the template. Specifically, include the user or team information... | Implement the Python class `QappList` described below.
Class description:
Class for listing this user's (or all if admin) QAPP objects.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Override the default method to send data to the template. Specifically, include the user or team information... | ee419afa3c9f4b9ef3b30b62b693cfac956ce5b4 | <|skeleton|>
class QappList:
"""Class for listing this user's (or all if admin) QAPP objects."""
def get_context_data(self, **kwargs):
"""Override the default method to send data to the template. Specifically, include the user or team information for this list of data."""
<|body_0|>
def ge... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QappList:
"""Class for listing this user's (or all if admin) QAPP objects."""
def get_context_data(self, **kwargs):
"""Override the default method to send data to the template. Specifically, include the user or team information for this list of data."""
context = super().get_context_data(... | the_stack_v2_python_sparse | DataSearch/qar5/views.py | USEPA/FoodWaste | train | 1 |
82582a200ee1c45205c4bbe6b05077e36fa5a63d | [
"no_duplicate_list = []\nfor i in nums:\n if i not in no_duplicate_list:\n no_duplicate_list.append(i)\n else:\n no_duplicate_list.remove(i)\nreturn no_duplicate_list.pop()",
"hash_table = {}\nfor i in nums:\n try:\n hash_table.pop(i)\n except:\n hash_table[i] = 1\nreturn h... | <|body_start_0|>
no_duplicate_list = []
for i in nums:
if i not in no_duplicate_list:
no_duplicate_list.append(i)
else:
no_duplicate_list.remove(i)
return no_duplicate_list.pop()
<|end_body_0|>
<|body_start_1|>
hash_table = {}
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def singleNumber(self, nums):
"""1.遍历nums； 2.如果数字是新的，加入暂存列表； 3.如果数字已存在于暂存列表，删除它。 时间复杂度：两次查询O(N**2) 空间复杂度：O(N)，最坏情况下需要一个大小为N/2的列表。 :type nums: List[int] :rtype: int"""
<|body_0|>
def singleNumber_hash(self, nums):
"""1.遍历nums 2.查找has_table是否有当前元素 3.如果没有，插入ha... | stack_v2_sparse_classes_36k_train_015468 | 2,970 | no_license | [
{
"docstring": "1.遍历nums； 2.如果数字是新的，加入暂存列表； 3.如果数字已存在于暂存列表，删除它。 时间复杂度：两次查询O(N**2) 空间复杂度：O(N)，最坏情况下需要一个大小为N/2的列表。 :type nums: List[int] :rtype: int",
"name": "singleNumber",
"signature": "def singleNumber(self, nums)"
},
{
"docstring": "1.遍历nums 2.查找has_table是否有当前元素 3.如果没有，插入hash_table 4.最后hash_t... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNumber(self, nums): 1.遍历nums； 2.如果数字是新的，加入暂存列表； 3.如果数字已存在于暂存列表，删除它。 时间复杂度：两次查询O(N**2) 空间复杂度：O(N)，最坏情况下需要一个大小为N/2的列表。 :type nums: List[int] :rtype: int
- def singleNumbe... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def singleNumber(self, nums): 1.遍历nums； 2.如果数字是新的，加入暂存列表； 3.如果数字已存在于暂存列表，删除它。 时间复杂度：两次查询O(N**2) 空间复杂度：O(N)，最坏情况下需要一个大小为N/2的列表。 :type nums: List[int] :rtype: int
- def singleNumbe... | 62ad010a992c031e8c0fe4d1a9b6f9364f96ed4c | <|skeleton|>
class Solution:
def singleNumber(self, nums):
"""1.遍历nums； 2.如果数字是新的，加入暂存列表； 3.如果数字已存在于暂存列表，删除它。 时间复杂度：两次查询O(N**2) 空间复杂度：O(N)，最坏情况下需要一个大小为N/2的列表。 :type nums: List[int] :rtype: int"""
<|body_0|>
def singleNumber_hash(self, nums):
"""1.遍历nums 2.查找has_table是否有当前元素 3.如果没有，插入ha... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def singleNumber(self, nums):
"""1.遍历nums； 2.如果数字是新的，加入暂存列表； 3.如果数字已存在于暂存列表，删除它。 时间复杂度：两次查询O(N**2) 空间复杂度：O(N)，最坏情况下需要一个大小为N/2的列表。 :type nums: List[int] :rtype: int"""
no_duplicate_list = []
for i in nums:
if i not in no_duplicate_list:
no_duplicate... | the_stack_v2_python_sparse | leetcode/solved/136_.py | usnnu/python_foundation | train | 0 | |
9fb44330adba462db77eb50594a0a4d8fa91580a | [
"query = CurrentPathQuery(path, **kwargs)\n\n@self.document.synchronize\ndef assert_current_path():\n if not query.resolves_for(self):\n raise ExpectationNotMet(query.failure_message)\nassert_current_path()\nreturn True",
"query = CurrentPathQuery(path, **kwargs)\n\n@self.document.synchronize\ndef asser... | <|body_start_0|>
query = CurrentPathQuery(path, **kwargs)
@self.document.synchronize
def assert_current_path():
if not query.resolves_for(self):
raise ExpectationNotMet(query.failure_message)
assert_current_path()
return True
<|end_body_0|>
<|body_st... | SessionMatchersMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SessionMatchersMixin:
def assert_current_path(self, path, **kwargs):
"""Asserts that the page has the given path. By default this will compare against the path+query portion of the full URL. Args: path (str | RegexObject): The string or regex that the current "path" should match. **kwarg... | stack_v2_sparse_classes_36k_train_015469 | 2,758 | permissive | [
{
"docstring": "Asserts that the page has the given path. By default this will compare against the path+query portion of the full URL. Args: path (str | RegexObject): The string or regex that the current \"path\" should match. **kwargs: Arbitrary keyword arguments for :class:`CurrentPathQuery`. Returns: True Ra... | 4 | stack_v2_sparse_classes_30k_train_006908 | Implement the Python class `SessionMatchersMixin` described below.
Class description:
Implement the SessionMatchersMixin class.
Method signatures and docstrings:
- def assert_current_path(self, path, **kwargs): Asserts that the page has the given path. By default this will compare against the path+query portion of th... | Implement the Python class `SessionMatchersMixin` described below.
Class description:
Implement the SessionMatchersMixin class.
Method signatures and docstrings:
- def assert_current_path(self, path, **kwargs): Asserts that the page has the given path. By default this will compare against the path+query portion of th... | eafd9ac50d02e8b57ef90d767493c8fa2be0739a | <|skeleton|>
class SessionMatchersMixin:
def assert_current_path(self, path, **kwargs):
"""Asserts that the page has the given path. By default this will compare against the path+query portion of the full URL. Args: path (str | RegexObject): The string or regex that the current "path" should match. **kwarg... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SessionMatchersMixin:
def assert_current_path(self, path, **kwargs):
"""Asserts that the page has the given path. By default this will compare against the path+query portion of the full URL. Args: path (str | RegexObject): The string or regex that the current "path" should match. **kwargs: Arbitrary k... | the_stack_v2_python_sparse | capybara/session_matchers.py | elliterate/capybara.py | train | 63 | |
65ea03057d6166684db19be128bde18d69443c80 | [
"user_uuid = get_jwt_identity()\ntry:\n page = int(request.args.get('page'))\nexcept (ValueError, TypeError):\n page = 1\nreturn SerieService.get_popular_series(page, user_uuid)",
"user_uuid = get_jwt_identity()\ndata = request.get_json()\nreturn SerieService.add_additional_serie(user_uuid, data)"
] | <|body_start_0|>
user_uuid = get_jwt_identity()
try:
page = int(request.args.get('page'))
except (ValueError, TypeError):
page = 1
return SerieService.get_popular_series(page, user_uuid)
<|end_body_0|>
<|body_start_1|>
user_uuid = get_jwt_identity()
... | SerieResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SerieResource:
def get(self):
"""Get list of the most popular Series"""
<|body_0|>
def post(self):
"""Add additional Serie for validation"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user_uuid = get_jwt_identity()
try:
page = ... | stack_v2_sparse_classes_36k_train_015470 | 8,589 | no_license | [
{
"docstring": "Get list of the most popular Series",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Add additional Serie for validation",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `SerieResource` described below.
Class description:
Implement the SerieResource class.
Method signatures and docstrings:
- def get(self): Get list of the most popular Series
- def post(self): Add additional Serie for validation | Implement the Python class `SerieResource` described below.
Class description:
Implement the SerieResource class.
Method signatures and docstrings:
- def get(self): Get list of the most popular Series
- def post(self): Add additional Serie for validation
<|skeleton|>
class SerieResource:
def get(self):
... | 2e7b4e07f149ede884cfe37130d9842ff9bb7be2 | <|skeleton|>
class SerieResource:
def get(self):
"""Get list of the most popular Series"""
<|body_0|>
def post(self):
"""Add additional Serie for validation"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SerieResource:
def get(self):
"""Get list of the most popular Series"""
user_uuid = get_jwt_identity()
try:
page = int(request.args.get('page'))
except (ValueError, TypeError):
page = 1
return SerieService.get_popular_series(page, user_uuid)
... | the_stack_v2_python_sparse | src/resources/serie_resource.py | RomainCtl/RecoFinement-api | train | 0 | |
feffc6be430cc636a40c9ba937dbdb433b1b6e31 | [
"if isinstance(path, tuple):\n if len(path) != 1:\n return None\n path = path[0]\nout = load(path)\nif out is not None and len(model):\n raise NotImplementedError()\nif out is not None:\n LOGS.info('%s loading %s', type(self).__name__, path)\nreturn [out] if isinstance(out, dict) else out",
"if... | <|body_start_0|>
if isinstance(path, tuple):
if len(path) != 1:
return None
path = path[0]
out = load(path)
if out is not None and len(model):
raise NotImplementedError()
if out is not None:
LOGS.info('%s loading %s', type(s... | Ana IO | AnaIO | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnaIO:
"""Ana IO"""
def open(self, path: Union[str, Tuple[str, ...]], model: tuple):
"""opens an ana file"""
<|body_0|>
def save(self, path: str, models):
"""closes an ana file"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if isinstance(path, ... | stack_v2_sparse_classes_36k_train_015471 | 3,001 | no_license | [
{
"docstring": "opens an ana file",
"name": "open",
"signature": "def open(self, path: Union[str, Tuple[str, ...]], model: tuple)"
},
{
"docstring": "closes an ana file",
"name": "save",
"signature": "def save(self, path: str, models)"
}
] | 2 | null | Implement the Python class `AnaIO` described below.
Class description:
Ana IO
Method signatures and docstrings:
- def open(self, path: Union[str, Tuple[str, ...]], model: tuple): opens an ana file
- def save(self, path: str, models): closes an ana file | Implement the Python class `AnaIO` described below.
Class description:
Ana IO
Method signatures and docstrings:
- def open(self, path: Union[str, Tuple[str, ...]], model: tuple): opens an ana file
- def save(self, path: str, models): closes an ana file
<|skeleton|>
class AnaIO:
"""Ana IO"""
def open(self, p... | f9534e4fff9775ff45d08d401de61015d4a69e76 | <|skeleton|>
class AnaIO:
"""Ana IO"""
def open(self, path: Union[str, Tuple[str, ...]], model: tuple):
"""opens an ana file"""
<|body_0|>
def save(self, path: str, models):
"""closes an ana file"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AnaIO:
"""Ana IO"""
def open(self, path: Union[str, Tuple[str, ...]], model: tuple):
"""opens an ana file"""
if isinstance(path, tuple):
if len(path) != 1:
return None
path = path[0]
out = load(path)
if out is not None and len(model)... | the_stack_v2_python_sparse | src/taskstore/control.py | depixusgenome/trackanalysis | train | 0 |
7bdfca5a348ea8adb5500929466b85274a15817c | [
"self.START_CMD = 1\nself.STOP_CMD = 0\nself.hasLaserPoint = True\nself.laserToBaseTransform = node.lookupTransform('base', 'rgbd_cam_1_rgb_optical_frame')\nself.laserPointPub = rospy.Publisher('/laser_detector/cmd', Int16Msg, queue_size=1)\nself.laserPointSub = rospy.Subscriber('/laser_detector/point', PointMsg, s... | <|body_start_0|>
self.START_CMD = 1
self.STOP_CMD = 0
self.hasLaserPoint = True
self.laserToBaseTransform = node.lookupTransform('base', 'rgbd_cam_1_rgb_optical_frame')
self.laserPointPub = rospy.Publisher('/laser_detector/cmd', Int16Msg, queue_size=1)
self.laserPointSub ... | A class for interfacing with a standard ROS topic point cloud. | LaserDetector | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LaserDetector:
"""A class for interfacing with a standard ROS topic point cloud."""
def __init__(self, node):
"""TODO"""
<|body_0|>
def laserPointCallback(self, msg):
"""TODO"""
<|body_1|>
def detectStablePoint(self, laserPointWorkspace, laserPointQu... | stack_v2_sparse_classes_36k_train_015472 | 2,696 | no_license | [
{
"docstring": "TODO",
"name": "__init__",
"signature": "def __init__(self, node)"
},
{
"docstring": "TODO",
"name": "laserPointCallback",
"signature": "def laserPointCallback(self, msg)"
},
{
"docstring": "TODO",
"name": "detectStablePoint",
"signature": "def detectStabl... | 3 | null | Implement the Python class `LaserDetector` described below.
Class description:
A class for interfacing with a standard ROS topic point cloud.
Method signatures and docstrings:
- def __init__(self, node): TODO
- def laserPointCallback(self, msg): TODO
- def detectStablePoint(self, laserPointWorkspace, laserPointQueueS... | Implement the Python class `LaserDetector` described below.
Class description:
A class for interfacing with a standard ROS topic point cloud.
Method signatures and docstrings:
- def __init__(self, node): TODO
- def laserPointCallback(self, msg): TODO
- def detectStablePoint(self, laserPointWorkspace, laserPointQueueS... | 04009550321868722d207924eed3609be7f54882 | <|skeleton|>
class LaserDetector:
"""A class for interfacing with a standard ROS topic point cloud."""
def __init__(self, node):
"""TODO"""
<|body_0|>
def laserPointCallback(self, msg):
"""TODO"""
<|body_1|>
def detectStablePoint(self, laserPointWorkspace, laserPointQu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LaserDetector:
"""A class for interfacing with a standard ROS topic point cloud."""
def __init__(self, node):
"""TODO"""
self.START_CMD = 1
self.STOP_CMD = 0
self.hasLaserPoint = True
self.laserToBaseTransform = node.lookupTransform('base', 'rgbd_cam_1_rgb_optical_... | the_stack_v2_python_sparse | src/active_sensing/scripts/laser_detector.py | DeepBlue14/arm_wkspc | train | 0 |
752baf5385fe36e92276b92fec051107d7cb65a8 | [
"self.val = val\nself.left = None\nself.right = None",
"if side == 'l':\n self.left = node\nelif side == 'r':\n self.right = node\nelse:\n raise Exception('Wrong parameter.')",
"if self.val == None:\n print('Empty tree.')\nelif mode == 'recursive':\n print(root.val, end=' -> ')\n if root.left ... | <|body_start_0|>
self.val = val
self.left = None
self.right = None
<|end_body_0|>
<|body_start_1|>
if side == 'l':
self.left = node
elif side == 'r':
self.right = node
else:
raise Exception('Wrong parameter.')
<|end_body_1|>
<|body_st... | Node of a binary tree. Attributes: val: The value of the node. left: Left child of current node, default: None. right: Right child of current node, default: None. | TreeNode | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TreeNode:
"""Node of a binary tree. Attributes: val: The value of the node. left: Left child of current node, default: None. right: Right child of current node, default: None."""
def __init__(self, val: int) -> 'TreeNode':
"""Initialize the TreeNode with desired value. Args: val: The... | stack_v2_sparse_classes_36k_train_015473 | 7,998 | permissive | [
{
"docstring": "Initialize the TreeNode with desired value. Args: val: The value of the tree node.",
"name": "__init__",
"signature": "def __init__(self, val: int) -> 'TreeNode'"
},
{
"docstring": "Add new node to existing tree node. Args: node: The node to be added to the tree. side: The side t... | 5 | stack_v2_sparse_classes_30k_train_000740 | Implement the Python class `TreeNode` described below.
Class description:
Node of a binary tree. Attributes: val: The value of the node. left: Left child of current node, default: None. right: Right child of current node, default: None.
Method signatures and docstrings:
- def __init__(self, val: int) -> 'TreeNode': I... | Implement the Python class `TreeNode` described below.
Class description:
Node of a binary tree. Attributes: val: The value of the node. left: Left child of current node, default: None. right: Right child of current node, default: None.
Method signatures and docstrings:
- def __init__(self, val: int) -> 'TreeNode': I... | 9adbe5fc2bce71f4c09ccf83079c44699c27fce4 | <|skeleton|>
class TreeNode:
"""Node of a binary tree. Attributes: val: The value of the node. left: Left child of current node, default: None. right: Right child of current node, default: None."""
def __init__(self, val: int) -> 'TreeNode':
"""Initialize the TreeNode with desired value. Args: val: The... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TreeNode:
"""Node of a binary tree. Attributes: val: The value of the node. left: Left child of current node, default: None. right: Right child of current node, default: None."""
def __init__(self, val: int) -> 'TreeNode':
"""Initialize the TreeNode with desired value. Args: val: The value of the... | the_stack_v2_python_sparse | data_structures/binary_tree.py | 1lch2/PythonExercise | train | 1 |
5a4a6ef527ab3f137663a78fe8b6df996321a3b7 | [
"status, output = subprocess.getstatusoutput('ifconfig')\nif status == 0:\n pattern = re.compile(ifname + '.*?inet.*?(\\\\d+\\\\.\\\\d+\\\\.\\\\d+\\\\.\\\\d+).*?netmask', re.S)\n result = re.search(pattern, output)\n if result:\n ip = result.group(1)\n return ip",
"try:\n response = requ... | <|body_start_0|>
status, output = subprocess.getstatusoutput('ifconfig')
if status == 0:
pattern = re.compile(ifname + '.*?inet.*?(\\d+\\.\\d+\\.\\d+\\.\\d+).*?netmask', re.S)
result = re.search(pattern, output)
if result:
ip = result.group(1)
... | Sender | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sender:
def get_ip(self, ifname=ADSL_IFNAME):
"""获取本机ip :param ifname: :return:"""
<|body_0|>
def test_proxy(self, proxy):
"""测试代理 :param proxy: :return:"""
<|body_1|>
def remove_proxy(self):
"""移除代理 :param self: :return:"""
<|body_2|>
... | stack_v2_sparse_classes_36k_train_015474 | 2,939 | no_license | [
{
"docstring": "获取本机ip :param ifname: :return:",
"name": "get_ip",
"signature": "def get_ip(self, ifname=ADSL_IFNAME)"
},
{
"docstring": "测试代理 :param proxy: :return:",
"name": "test_proxy",
"signature": "def test_proxy(self, proxy)"
},
{
"docstring": "移除代理 :param self: :return:",... | 5 | stack_v2_sparse_classes_30k_train_010485 | Implement the Python class `Sender` described below.
Class description:
Implement the Sender class.
Method signatures and docstrings:
- def get_ip(self, ifname=ADSL_IFNAME): 获取本机ip :param ifname: :return:
- def test_proxy(self, proxy): 测试代理 :param proxy: :return:
- def remove_proxy(self): 移除代理 :param self: :return:
-... | Implement the Python class `Sender` described below.
Class description:
Implement the Sender class.
Method signatures and docstrings:
- def get_ip(self, ifname=ADSL_IFNAME): 获取本机ip :param ifname: :return:
- def test_proxy(self, proxy): 测试代理 :param proxy: :return:
- def remove_proxy(self): 移除代理 :param self: :return:
-... | 28d89fd08f58daddadf68c4c8796b670a417efe3 | <|skeleton|>
class Sender:
def get_ip(self, ifname=ADSL_IFNAME):
"""获取本机ip :param ifname: :return:"""
<|body_0|>
def test_proxy(self, proxy):
"""测试代理 :param proxy: :return:"""
<|body_1|>
def remove_proxy(self):
"""移除代理 :param self: :return:"""
<|body_2|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Sender:
def get_ip(self, ifname=ADSL_IFNAME):
"""获取本机ip :param ifname: :return:"""
status, output = subprocess.getstatusoutput('ifconfig')
if status == 0:
pattern = re.compile(ifname + '.*?inet.*?(\\d+\\.\\d+\\.\\d+\\.\\d+).*?netmask', re.S)
result = re.search(p... | the_stack_v2_python_sparse | ADSL_proxypool/Sender.py | Dgama/CaiqingCui-Python-Webspider | train | 0 | |
247cd6ad5582de9e5bb3beffebee50f5eb828674 | [
"super(FPA, self).__init__()\nchannels_mid = int(channels / 4)\nself.channels_cond = channels\nself.conv_master = nn.Conv2d(self.channels_cond, channels, kernel_size=1, bias=False)\nself.bn_master = nn.BatchNorm2d(channels)\nself.conv_gpb = nn.Conv2d(self.channels_cond, channels, kernel_size=1, bias=False)\nself.bn... | <|body_start_0|>
super(FPA, self).__init__()
channels_mid = int(channels / 4)
self.channels_cond = channels
self.conv_master = nn.Conv2d(self.channels_cond, channels, kernel_size=1, bias=False)
self.bn_master = nn.BatchNorm2d(channels)
self.conv_gpb = nn.Conv2d(self.chann... | FPA | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FPA:
def __init__(self, channels=2048):
"""Feature Pyramid Attention :type channels: int"""
<|body_0|>
def forward(self, x):
""":param x: Shape: [b, 2048, h, w] :return: out: Feature maps. Shape: [b, 2048, h, w]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_36k_train_015475 | 9,063 | permissive | [
{
"docstring": "Feature Pyramid Attention :type channels: int",
"name": "__init__",
"signature": "def __init__(self, channels=2048)"
},
{
"docstring": ":param x: Shape: [b, 2048, h, w] :return: out: Feature maps. Shape: [b, 2048, h, w]",
"name": "forward",
"signature": "def forward(self,... | 2 | stack_v2_sparse_classes_30k_train_004798 | Implement the Python class `FPA` described below.
Class description:
Implement the FPA class.
Method signatures and docstrings:
- def __init__(self, channels=2048): Feature Pyramid Attention :type channels: int
- def forward(self, x): :param x: Shape: [b, 2048, h, w] :return: out: Feature maps. Shape: [b, 2048, h, w] | Implement the Python class `FPA` described below.
Class description:
Implement the FPA class.
Method signatures and docstrings:
- def __init__(self, channels=2048): Feature Pyramid Attention :type channels: int
- def forward(self, x): :param x: Shape: [b, 2048, h, w] :return: out: Feature maps. Shape: [b, 2048, h, w]... | fc93419b5edb917100450f45254d68ad372c15b5 | <|skeleton|>
class FPA:
def __init__(self, channels=2048):
"""Feature Pyramid Attention :type channels: int"""
<|body_0|>
def forward(self, x):
""":param x: Shape: [b, 2048, h, w] :return: out: Feature maps. Shape: [b, 2048, h, w]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FPA:
def __init__(self, channels=2048):
"""Feature Pyramid Attention :type channels: int"""
super(FPA, self).__init__()
channels_mid = int(channels / 4)
self.channels_cond = channels
self.conv_master = nn.Conv2d(self.channels_cond, channels, kernel_size=1, bias=False)
... | the_stack_v2_python_sparse | 2021届毕设-语义分割-CascadePSP/models/pan/network.py | lqwrl542293/JL-Yang_CV | train | 14 | |
1d9656247478eaee8967fbd286450ae2b06b66b7 | [
"self.log = logger or logging.getLogger('layout_json')\nself._vault_client = None\nself.cache = {}\nself.vault_token = os.getenv('VAULT_TOKEN')\nself.vault_addr = os.getenv('VAULT_ADDR') or os.getenv('VAULT_URL')",
"if '/' in env_variable:\n paths = env_variable.lstrip('/').split('/')\n env_variable = '/'.j... | <|body_start_0|>
self.log = logger or logging.getLogger('layout_json')
self._vault_client = None
self.cache = {}
self.vault_token = os.getenv('VAULT_TOKEN')
self.vault_addr = os.getenv('VAULT_ADDR') or os.getenv('VAULT_URL')
<|end_body_0|>
<|body_start_1|>
if '/' in env_... | TcEx Key Value API Module. Args: logger (logging.Logger, optional): A instance of Logger. Defaults to None. | EnvStore | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnvStore:
"""TcEx Key Value API Module. Args: logger (logging.Logger, optional): A instance of Logger. Defaults to None."""
def __init__(self, logger=None):
"""Initialize the Class properties."""
<|body_0|>
def _convert_env(env_variable):
"""Convert an a vault pa... | stack_v2_sparse_classes_36k_train_015476 | 4,970 | permissive | [
{
"docstring": "Initialize the Class properties.",
"name": "__init__",
"signature": "def __init__(self, logger=None)"
},
{
"docstring": "Convert an a vault path to env variable, removing first 2 parts of path Vault path need to be updated to be looked up as env variables. /ninja/int/cisco/umbrel... | 5 | stack_v2_sparse_classes_30k_train_015888 | Implement the Python class `EnvStore` described below.
Class description:
TcEx Key Value API Module. Args: logger (logging.Logger, optional): A instance of Logger. Defaults to None.
Method signatures and docstrings:
- def __init__(self, logger=None): Initialize the Class properties.
- def _convert_env(env_variable): ... | Implement the Python class `EnvStore` described below.
Class description:
TcEx Key Value API Module. Args: logger (logging.Logger, optional): A instance of Logger. Defaults to None.
Method signatures and docstrings:
- def __init__(self, logger=None): Initialize the Class properties.
- def _convert_env(env_variable): ... | 7cf04fec048fadc71ff851970045b8a587269ccf | <|skeleton|>
class EnvStore:
"""TcEx Key Value API Module. Args: logger (logging.Logger, optional): A instance of Logger. Defaults to None."""
def __init__(self, logger=None):
"""Initialize the Class properties."""
<|body_0|>
def _convert_env(env_variable):
"""Convert an a vault pa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EnvStore:
"""TcEx Key Value API Module. Args: logger (logging.Logger, optional): A instance of Logger. Defaults to None."""
def __init__(self, logger=None):
"""Initialize the Class properties."""
self.log = logger or logging.getLogger('layout_json')
self._vault_client = None
... | the_stack_v2_python_sparse | tcex/env_store/env_store.py | TpyoKnig/tcex | train | 0 |
a01f0b92b5474681ef51e6c9fe9d37b7d31b7413 | [
"self.__buckets = [collections.deque() for _ in xrange(int(math.ceil(n ** 0.5)))]\nfor i in xrange(n):\n self.__buckets[i // len(self.__buckets)].append(i + 1)",
"k -= 1\nleft, idx = divmod(k, len(self.__buckets))\nval = self.__buckets[left][idx]\ndel self.__buckets[left][idx]\nself.__buckets[-1].append(val)\n... | <|body_start_0|>
self.__buckets = [collections.deque() for _ in xrange(int(math.ceil(n ** 0.5)))]
for i in xrange(n):
self.__buckets[i // len(self.__buckets)].append(i + 1)
<|end_body_0|>
<|body_start_1|>
k -= 1
left, idx = divmod(k, len(self.__buckets))
val = self._... | MRUQueue3 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MRUQueue3:
def __init__(self, n):
""":type n: int"""
<|body_0|>
def fetch(self, k):
""":type k: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.__buckets = [collections.deque() for _ in xrange(int(math.ceil(n ** 0.5)))]
... | stack_v2_sparse_classes_36k_train_015477 | 3,178 | permissive | [
{
"docstring": ":type n: int",
"name": "__init__",
"signature": "def __init__(self, n)"
},
{
"docstring": ":type k: int :rtype: int",
"name": "fetch",
"signature": "def fetch(self, k)"
}
] | 2 | null | Implement the Python class `MRUQueue3` described below.
Class description:
Implement the MRUQueue3 class.
Method signatures and docstrings:
- def __init__(self, n): :type n: int
- def fetch(self, k): :type k: int :rtype: int | Implement the Python class `MRUQueue3` described below.
Class description:
Implement the MRUQueue3 class.
Method signatures and docstrings:
- def __init__(self, n): :type n: int
- def fetch(self, k): :type k: int :rtype: int
<|skeleton|>
class MRUQueue3:
def __init__(self, n):
""":type n: int"""
... | 4dc4e6642dc92f1983c13564cc0fd99917cab358 | <|skeleton|>
class MRUQueue3:
def __init__(self, n):
""":type n: int"""
<|body_0|>
def fetch(self, k):
""":type k: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MRUQueue3:
def __init__(self, n):
""":type n: int"""
self.__buckets = [collections.deque() for _ in xrange(int(math.ceil(n ** 0.5)))]
for i in xrange(n):
self.__buckets[i // len(self.__buckets)].append(i + 1)
def fetch(self, k):
""":type k: int :rtype: int"""
... | the_stack_v2_python_sparse | Python/design-most-recently-used-queue.py | kamyu104/LeetCode-Solutions | train | 4,549 | |
266db3947a97a24b0f624db8a61a0e6fc795d3a8 | [
"template_id = kwargs.pop('template_id')\ntemplate = template_api.get(template_id)\nversion_manager = version_manager_api.get_from_version(template)\nversion_number = version_manager_api.get_version_number(version_manager, template_id)\ntry:\n template_xsl_rendering = template_xsl_rendering_api.get_by_template_i... | <|body_start_0|>
template_id = kwargs.pop('template_id')
template = template_api.get(template_id)
version_manager = version_manager_api.get_from_version(template)
version_number = version_manager_api.get_version_number(version_manager, template_id)
try:
template_xsl_r... | Template XSL rendering view. | TemplateXSLRenderingView | [
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TemplateXSLRenderingView:
"""Template XSL rendering view."""
def get(self, request, *args, **kwargs):
"""GET request. Create/Show the form for the configuration. Args: request: *args: **kwargs: Returns:"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""P... | stack_v2_sparse_classes_36k_train_015478 | 16,210 | permissive | [
{
"docstring": "GET request. Create/Show the form for the configuration. Args: request: *args: **kwargs: Returns:",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "POST request. Try to save the configuration. Args: request: *args: **kwargs: Returns:",
... | 3 | stack_v2_sparse_classes_30k_train_010505 | Implement the Python class `TemplateXSLRenderingView` described below.
Class description:
Template XSL rendering view.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): GET request. Create/Show the form for the configuration. Args: request: *args: **kwargs: Returns:
- def post(self, request... | Implement the Python class `TemplateXSLRenderingView` described below.
Class description:
Template XSL rendering view.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): GET request. Create/Show the form for the configuration. Args: request: *args: **kwargs: Returns:
- def post(self, request... | 568cb75a40ccff1d74a1a757866112535efd769a | <|skeleton|>
class TemplateXSLRenderingView:
"""Template XSL rendering view."""
def get(self, request, *args, **kwargs):
"""GET request. Create/Show the form for the configuration. Args: request: *args: **kwargs: Returns:"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""P... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TemplateXSLRenderingView:
"""Template XSL rendering view."""
def get(self, request, *args, **kwargs):
"""GET request. Create/Show the form for the configuration. Args: request: *args: **kwargs: Returns:"""
template_id = kwargs.pop('template_id')
template = template_api.get(templat... | the_stack_v2_python_sparse | core_main_app/views/common/views.py | adilmania/core_main_app | train | 0 |
5a66b20110b2947aefb4afa75292115957e03ecd | [
"try:\n return Member.objects.get(pk=pk)\nexcept Member.DoesNotExist:\n raise Http404",
"if pk is not None:\n member = self.get_member(int(pk))\nelse:\n member = None\nself.check_object_permissions(request, member)\nsavings = Savings.get_members_savings(member)\nserializer = SavingsMinimalSerializer(s... | <|body_start_0|>
try:
return Member.objects.get(pk=pk)
except Member.DoesNotExist:
raise Http404
<|end_body_0|>
<|body_start_1|>
if pk is not None:
member = self.get_member(int(pk))
else:
member = None
self.check_object_permissions... | SavingsView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SavingsView:
def get_member(self, pk):
"""Get a member."""
<|body_0|>
def get(self, request, pk, format=None):
"""List Member's savings --- serializer: savings.serializers.SavingsMinimalSerializer"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:... | stack_v2_sparse_classes_36k_train_015479 | 5,809 | no_license | [
{
"docstring": "Get a member.",
"name": "get_member",
"signature": "def get_member(self, pk)"
},
{
"docstring": "List Member's savings --- serializer: savings.serializers.SavingsMinimalSerializer",
"name": "get",
"signature": "def get(self, request, pk, format=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018753 | Implement the Python class `SavingsView` described below.
Class description:
Implement the SavingsView class.
Method signatures and docstrings:
- def get_member(self, pk): Get a member.
- def get(self, request, pk, format=None): List Member's savings --- serializer: savings.serializers.SavingsMinimalSerializer | Implement the Python class `SavingsView` described below.
Class description:
Implement the SavingsView class.
Method signatures and docstrings:
- def get_member(self, pk): Get a member.
- def get(self, request, pk, format=None): List Member's savings --- serializer: savings.serializers.SavingsMinimalSerializer
<|ske... | c5ac11e40a628c93c3865363e97b4f255a104ca8 | <|skeleton|>
class SavingsView:
def get_member(self, pk):
"""Get a member."""
<|body_0|>
def get(self, request, pk, format=None):
"""List Member's savings --- serializer: savings.serializers.SavingsMinimalSerializer"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SavingsView:
def get_member(self, pk):
"""Get a member."""
try:
return Member.objects.get(pk=pk)
except Member.DoesNotExist:
raise Http404
def get(self, request, pk, format=None):
"""List Member's savings --- serializer: savings.serializers.SavingsM... | the_stack_v2_python_sparse | savings/views.py | lubegamark/gosacco | train | 2 | |
f37d94e0b76a10115380f4ea0ccb103a954501fa | [
"from collections import defaultdict\nres = defaultdict(int)\nfor dm in cpdomains:\n click = cpdomains[dm]\n subs = dm.split('.')\n for i in range(len(subs)):\n csb = '.'.join(subs[i:])\n res[csb] += click\nreturn res",
"dp = [[0 for _ in range(len(his2) + 1)] for _ in range(len(his1) + 1)]... | <|body_start_0|>
from collections import defaultdict
res = defaultdict(int)
for dm in cpdomains:
click = cpdomains[dm]
subs = dm.split('.')
for i in range(len(subs)):
csb = '.'.join(subs[i:])
res[csb] += click
return res... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subdomainVisits(self, cpdomains):
""":type cpdomains: List[str] :rtype: List[str]"""
<|body_0|>
def longest_continuous_common_history(self, his1, his2):
"""user0 = [ "/nine.html", "/four.html", "/six.html", "/seven.html", "/one.html" ] user2 = [ "/nine.... | stack_v2_sparse_classes_36k_train_015480 | 1,513 | no_license | [
{
"docstring": ":type cpdomains: List[str] :rtype: List[str]",
"name": "subdomainVisits",
"signature": "def subdomainVisits(self, cpdomains)"
},
{
"docstring": "user0 = [ \"/nine.html\", \"/four.html\", \"/six.html\", \"/seven.html\", \"/one.html\" ] user2 = [ \"/nine.html\", \"/two.html\", \"/t... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subdomainVisits(self, cpdomains): :type cpdomains: List[str] :rtype: List[str]
- def longest_continuous_common_history(self, his1, his2): user0 = [ "/nine.html", "/four.html"... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subdomainVisits(self, cpdomains): :type cpdomains: List[str] :rtype: List[str]
- def longest_continuous_common_history(self, his1, his2): user0 = [ "/nine.html", "/four.html"... | e807ae43a0a253deaa6c9ed1c592fa3a14a6cab8 | <|skeleton|>
class Solution:
def subdomainVisits(self, cpdomains):
""":type cpdomains: List[str] :rtype: List[str]"""
<|body_0|>
def longest_continuous_common_history(self, his1, his2):
"""user0 = [ "/nine.html", "/four.html", "/six.html", "/seven.html", "/one.html" ] user2 = [ "/nine.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def subdomainVisits(self, cpdomains):
""":type cpdomains: List[str] :rtype: List[str]"""
from collections import defaultdict
res = defaultdict(int)
for dm in cpdomains:
click = cpdomains[dm]
subs = dm.split('.')
for i in range(len(s... | the_stack_v2_python_sparse | Medium/Subdomain visit count.py | uathena1991/Leetcode | train | 1 | |
a7b71c941db485bfa8b423f413a785dfb4fd4da2 | [
"versions = []\nfor key, data in VERSIONS.items():\n v = BaseVersion(data['id'], data['status'], request.application_url, data['updated'])\n versions.append(v)\nreturn wsgi.Result(VersionsDataView(versions))",
"data = VERSIONS[request.url_version]\nv = Version(data['id'], data['status'], request.application... | <|body_start_0|>
versions = []
for key, data in VERSIONS.items():
v = BaseVersion(data['id'], data['status'], request.application_url, data['updated'])
versions.append(v)
return wsgi.Result(VersionsDataView(versions))
<|end_body_0|>
<|body_start_1|>
data = VERSIO... | VersionsController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionsController:
def index(self, request):
"""Respond to a request for API versions."""
<|body_0|>
def show(self, request):
"""Respond to a request for a specific API version."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
versions = []
... | stack_v2_sparse_classes_36k_train_015481 | 3,164 | permissive | [
{
"docstring": "Respond to a request for API versions.",
"name": "index",
"signature": "def index(self, request)"
},
{
"docstring": "Respond to a request for a specific API version.",
"name": "show",
"signature": "def show(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013186 | Implement the Python class `VersionsController` described below.
Class description:
Implement the VersionsController class.
Method signatures and docstrings:
- def index(self, request): Respond to a request for API versions.
- def show(self, request): Respond to a request for a specific API version. | Implement the Python class `VersionsController` described below.
Class description:
Implement the VersionsController class.
Method signatures and docstrings:
- def index(self, request): Respond to a request for API versions.
- def show(self, request): Respond to a request for a specific API version.
<|skeleton|>
cla... | 4288b8f78250cc3a1c93b019e2c3b4bf78df177c | <|skeleton|>
class VersionsController:
def index(self, request):
"""Respond to a request for API versions."""
<|body_0|>
def show(self, request):
"""Respond to a request for a specific API version."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VersionsController:
def index(self, request):
"""Respond to a request for API versions."""
versions = []
for key, data in VERSIONS.items():
v = BaseVersion(data['id'], data['status'], request.application_url, data['updated'])
versions.append(v)
return ws... | the_stack_v2_python_sparse | trove/versions.py | openstack/trove | train | 258 | |
64a8a0d251288efac2b58abed9da71c3eda9d011 | [
"super().__init__(display_name, entity_id, 'SWITCH', *args, **kwargs)\nself._hass = hass\nself._entity_id = entity_id\nself._domain = split_entity_id(entity_id)[0]\nself.flag_target_state = False\nserv_switch = add_preload_service(self, SERV_SWITCH)\nself.char_on = serv_switch.get_characteristic(CHAR_ON)\nself.char... | <|body_start_0|>
super().__init__(display_name, entity_id, 'SWITCH', *args, **kwargs)
self._hass = hass
self._entity_id = entity_id
self._domain = split_entity_id(entity_id)[0]
self.flag_target_state = False
serv_switch = add_preload_service(self, SERV_SWITCH)
sel... | Generate a Switch accessory. | Switch | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Switch:
"""Generate a Switch accessory."""
def __init__(self, hass, entity_id, display_name, *args, **kwargs):
"""Initialize a Switch accessory object to represent a remote."""
<|body_0|>
def set_state(self, value):
"""Move switch state to value if call came from... | stack_v2_sparse_classes_36k_train_015482 | 1,985 | permissive | [
{
"docstring": "Initialize a Switch accessory object to represent a remote.",
"name": "__init__",
"signature": "def __init__(self, hass, entity_id, display_name, *args, **kwargs)"
},
{
"docstring": "Move switch state to value if call came from HomeKit.",
"name": "set_state",
"signature":... | 3 | stack_v2_sparse_classes_30k_train_018027 | Implement the Python class `Switch` described below.
Class description:
Generate a Switch accessory.
Method signatures and docstrings:
- def __init__(self, hass, entity_id, display_name, *args, **kwargs): Initialize a Switch accessory object to represent a remote.
- def set_state(self, value): Move switch state to va... | Implement the Python class `Switch` described below.
Class description:
Generate a Switch accessory.
Method signatures and docstrings:
- def __init__(self, hass, entity_id, display_name, *args, **kwargs): Initialize a Switch accessory object to represent a remote.
- def set_state(self, value): Move switch state to va... | 5c4529d044463083bad73cdbf9d17d8cb2b29afa | <|skeleton|>
class Switch:
"""Generate a Switch accessory."""
def __init__(self, hass, entity_id, display_name, *args, **kwargs):
"""Initialize a Switch accessory object to represent a remote."""
<|body_0|>
def set_state(self, value):
"""Move switch state to value if call came from... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Switch:
"""Generate a Switch accessory."""
def __init__(self, hass, entity_id, display_name, *args, **kwargs):
"""Initialize a Switch accessory object to represent a remote."""
super().__init__(display_name, entity_id, 'SWITCH', *args, **kwargs)
self._hass = hass
self._ent... | the_stack_v2_python_sparse | homeassistant/components/homekit/type_switches.py | simpss/home-assistant | train | 1 |
40b37e7e96924811468d9e0e368beb798c02949a | [
"command = subparsers.add_parser('test', help=textwrap.fill('Test operational status.', width=width))\nself.subcommand = command.add_subparsers(dest='qualifier')\nfor name in dir(self):\n attribute = getattr(self, name)\n if ismethod(attribute):\n if name.startswith('_'):\n continue\n ... | <|body_start_0|>
command = subparsers.add_parser('test', help=textwrap.fill('Test operational status.', width=width))
self.subcommand = command.add_subparsers(dest='qualifier')
for name in dir(self):
attribute = getattr(self, name)
if ismethod(attribute):
... | Class handles CLI 'test' option. | _Test | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Test:
"""Class handles CLI 'test' option."""
def __init__(self, subparsers, width=80):
"""Function for intializing the class."""
<|body_0|>
def poller(self, width=80):
"""Process test poller CLI commands. Args: width: Width of the help text string to STDIO befor... | stack_v2_sparse_classes_36k_train_015483 | 14,010 | permissive | [
{
"docstring": "Function for intializing the class.",
"name": "__init__",
"signature": "def __init__(self, subparsers, width=80)"
},
{
"docstring": "Process test poller CLI commands. Args: width: Width of the help text string to STDIO before wrapping Returns: None",
"name": "poller",
"si... | 2 | null | Implement the Python class `_Test` described below.
Class description:
Class handles CLI 'test' option.
Method signatures and docstrings:
- def __init__(self, subparsers, width=80): Function for intializing the class.
- def poller(self, width=80): Process test poller CLI commands. Args: width: Width of the help text ... | Implement the Python class `_Test` described below.
Class description:
Class handles CLI 'test' option.
Method signatures and docstrings:
- def __init__(self, subparsers, width=80): Function for intializing the class.
- def poller(self, width=80): Process test poller CLI commands. Args: width: Width of the help text ... | ae82589fbbab77fef6d6be09c1fcca5846f595a8 | <|skeleton|>
class _Test:
"""Class handles CLI 'test' option."""
def __init__(self, subparsers, width=80):
"""Function for intializing the class."""
<|body_0|>
def poller(self, width=80):
"""Process test poller CLI commands. Args: width: Width of the help text string to STDIO befor... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _Test:
"""Class handles CLI 'test' option."""
def __init__(self, subparsers, width=80):
"""Function for intializing the class."""
command = subparsers.add_parser('test', help=textwrap.fill('Test operational status.', width=width))
self.subcommand = command.add_subparsers(dest='qua... | the_stack_v2_python_sparse | switchmap/cli/cli.py | PalisadoesFoundation/switchmap-ng | train | 8 |
16a6433799f3af263c5added4e5d258efc8babc1 | [
"self.prfs_d = extract_settings()\nself.logger = logger\nself.mag = mag\nself.scmp_d = scmp_d\nself.scmp_cf = scmp_cf\nself.sex_d = sex_d\nself.scamp_process()",
"sex_cf = '{}_{}_{}_{}_{}'.format(self.sex_d['deblend_nthresh'], self.sex_d['analysis_thresh'], self.sex_d['detect_thresh'], self.sex_d['deblend_mincoun... | <|body_start_0|>
self.prfs_d = extract_settings()
self.logger = logger
self.mag = mag
self.scmp_d = scmp_d
self.scmp_cf = scmp_cf
self.sex_d = sex_d
self.scamp_process()
<|end_body_0|>
<|body_start_1|>
sex_cf = '{}_{}_{}_{}_{}'.format(self.sex_d['deblend_... | Scamp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scamp:
def __init__(self, logger, mag, scmp_d, scmp_cf, sex_d):
""":param logger: :param mag: :param scmp_d: :param scmp_cf: :param sex_d:"""
<|body_0|>
def scamp_process(self):
""":return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.prfs_d... | stack_v2_sparse_classes_36k_train_015484 | 3,359 | no_license | [
{
"docstring": ":param logger: :param mag: :param scmp_d: :param scmp_cf: :param sex_d:",
"name": "__init__",
"signature": "def __init__(self, logger, mag, scmp_d, scmp_cf, sex_d)"
},
{
"docstring": ":return:",
"name": "scamp_process",
"signature": "def scamp_process(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009519 | Implement the Python class `Scamp` described below.
Class description:
Implement the Scamp class.
Method signatures and docstrings:
- def __init__(self, logger, mag, scmp_d, scmp_cf, sex_d): :param logger: :param mag: :param scmp_d: :param scmp_cf: :param sex_d:
- def scamp_process(self): :return: | Implement the Python class `Scamp` described below.
Class description:
Implement the Scamp class.
Method signatures and docstrings:
- def __init__(self, logger, mag, scmp_d, scmp_cf, sex_d): :param logger: :param mag: :param scmp_d: :param scmp_cf: :param sex_d:
- def scamp_process(self): :return:
<|skeleton|>
class... | ca9f090ed8b6049049c13a348cf1ebd8c054acd4 | <|skeleton|>
class Scamp:
def __init__(self, logger, mag, scmp_d, scmp_cf, sex_d):
""":param logger: :param mag: :param scmp_d: :param scmp_cf: :param sex_d:"""
<|body_0|>
def scamp_process(self):
""":return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Scamp:
def __init__(self, logger, mag, scmp_d, scmp_cf, sex_d):
""":param logger: :param mag: :param scmp_d: :param scmp_cf: :param sex_d:"""
self.prfs_d = extract_settings()
self.logger = logger
self.mag = mag
self.scmp_d = scmp_d
self.scmp_cf = scmp_cf
... | the_stack_v2_python_sparse | pipeline_luca/scamp_aux_luca.py | sgongar/Euclid-tests | train | 0 | |
fb25f86d4956d0617e8e8b9df02a666e9f948b18 | [
"for name, infos in Rt.geom_dict.items():\n if name in Rt.optim_var_dict:\n self.add_input(name, val=infos[1][0])",
"log.info(f'Start optimisation iteration: {Rt.counter}')\nfor name, infos in Rt.geom_dict.items():\n infos[1].append(inputs[name][0])\nif Rt.counter == 0:\n cpacs_in = Rt.modules[0].... | <|body_start_0|>
for name, infos in Rt.geom_dict.items():
if name in Rt.optim_var_dict:
self.add_input(name, val=infos[1][0])
<|end_body_0|>
<|body_start_1|>
log.info(f'Start optimisation iteration: {Rt.counter}')
for name, infos in Rt.geom_dict.items():
... | Classe to define the geometric parameters | Geom_param | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Geom_param:
"""Classe to define the geometric parameters"""
def setup(self):
"""Setup inputs only for the geometry"""
<|body_0|>
def compute(self, inputs, outputs):
"""Update the geometry of the CPACS"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_015485 | 20,064 | permissive | [
{
"docstring": "Setup inputs only for the geometry",
"name": "setup",
"signature": "def setup(self)"
},
{
"docstring": "Update the geometry of the CPACS",
"name": "compute",
"signature": "def compute(self, inputs, outputs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016319 | Implement the Python class `Geom_param` described below.
Class description:
Classe to define the geometric parameters
Method signatures and docstrings:
- def setup(self): Setup inputs only for the geometry
- def compute(self, inputs, outputs): Update the geometry of the CPACS | Implement the Python class `Geom_param` described below.
Class description:
Classe to define the geometric parameters
Method signatures and docstrings:
- def setup(self): Setup inputs only for the geometry
- def compute(self, inputs, outputs): Update the geometry of the CPACS
<|skeleton|>
class Geom_param:
"""Cl... | 30ca55b39dc14e3f8ec1e00a475f76024d1b5fef | <|skeleton|>
class Geom_param:
"""Classe to define the geometric parameters"""
def setup(self):
"""Setup inputs only for the geometry"""
<|body_0|>
def compute(self, inputs, outputs):
"""Update the geometry of the CPACS"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Geom_param:
"""Classe to define the geometric parameters"""
def setup(self):
"""Setup inputs only for the geometry"""
for name, infos in Rt.geom_dict.items():
if name in Rt.optim_var_dict:
self.add_input(name, val=infos[1][0])
def compute(self, inputs, out... | the_stack_v2_python_sparse | ceasiompy/Optimisation/optimisation.py | cfsengineering/CEASIOMpy | train | 60 |
ade0794bd7115a03f1baeb1f68194f21993a5c25 | [
"\"\"\"\n My first implementation of algorithm TLE(using two pointer to optimize it)!!!\n Time complexity: O(n^2)\n Space complexity: O(1)\n \"\"\"\nif not height or len(height) == 0:\n return 0\nres = 0\nfor i in range(len(height)):\n for j in range(len(height) - 1, i, -1):\n ... | <|body_start_0|>
"""
My first implementation of algorithm TLE(using two pointer to optimize it)!!!
Time complexity: O(n^2)
Space complexity: O(1)
"""
if not height or len(height) == 0:
return 0
res = 0
for i in r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea2(self, height):
"""Using two pointer to optimize algorithm!!! Good solution Time complexity: O(n) Space complexity: O(1)"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_36k_train_015486 | 1,046 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
},
{
"docstring": "Using two pointer to optimize algorithm!!! Good solution Time complexity: O(n) Space complexity: O(1)",
"name": "maxArea2",
"signature": "def maxArea2(self... | 2 | stack_v2_sparse_classes_30k_train_015253 | 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 maxArea2(self, height): Using two pointer to optimize algorithm!!! Good solution Time complexity: O(n) Space ... | 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 maxArea2(self, height): Using two pointer to optimize algorithm!!! Good solution Time complexity: O(n) Space ... | 4960986edae561c1f9f32f3c97ce144f976d7844 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea2(self, height):
"""Using two pointer to optimize algorithm!!! Good solution Time complexity: O(n) Space complexity: O(1)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
"""
My first implementation of algorithm TLE(using two pointer to optimize it)!!!
Time complexity: O(n^2)
Space complexity: O(1)
"""
if not hei... | the_stack_v2_python_sparse | two_pointer/11. Container With Most Water.py | AlexSchumi/Algorithms | train | 0 | |
5f7486ea44e0fdc3586570fe9e60b7dfff53a45f | [
"page = BaiduSearchPage(browser)\npage.search_input('pytest')\npage.search_button()\npage.sleep(1)\ntitle = page.search_title()\nassert title == 'pytest_百度搜索'",
"page = BaiduSearchPage(browser)\npage.search_input(search_key)\npage.search_button()\npage.sleep(2)\ntitle = page.search_title()\nassert title == search... | <|body_start_0|>
page = BaiduSearchPage(browser)
page.search_input('pytest')
page.search_button()
page.sleep(1)
title = page.search_title()
assert title == 'pytest_百度搜索'
<|end_body_0|>
<|body_start_1|>
page = BaiduSearchPage(browser)
page.search_input(sea... | TestSearch | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSearch:
def test_baidu_search_case(self, browser):
"""百度搜索：pytest"""
<|body_0|>
def test_baidu_search(self, name, search_key, browser):
"""百度搜索 --参数化"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
page = BaiduSearchPage(browser)
page.se... | stack_v2_sparse_classes_36k_train_015487 | 1,494 | no_license | [
{
"docstring": "百度搜索：pytest",
"name": "test_baidu_search_case",
"signature": "def test_baidu_search_case(self, browser)"
},
{
"docstring": "百度搜索 --参数化",
"name": "test_baidu_search",
"signature": "def test_baidu_search(self, name, search_key, browser)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012763 | Implement the Python class `TestSearch` described below.
Class description:
Implement the TestSearch class.
Method signatures and docstrings:
- def test_baidu_search_case(self, browser): 百度搜索：pytest
- def test_baidu_search(self, name, search_key, browser): 百度搜索 --参数化 | Implement the Python class `TestSearch` described below.
Class description:
Implement the TestSearch class.
Method signatures and docstrings:
- def test_baidu_search_case(self, browser): 百度搜索：pytest
- def test_baidu_search(self, name, search_key, browser): 百度搜索 --参数化
<|skeleton|>
class TestSearch:
def test_baid... | b3a532d33ddeb8d01fff315bcd59b451befdef23 | <|skeleton|>
class TestSearch:
def test_baidu_search_case(self, browser):
"""百度搜索：pytest"""
<|body_0|>
def test_baidu_search(self, name, search_key, browser):
"""百度搜索 --参数化"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSearch:
def test_baidu_search_case(self, browser):
"""百度搜索：pytest"""
page = BaiduSearchPage(browser)
page.search_input('pytest')
page.search_button()
page.sleep(1)
title = page.search_title()
assert title == 'pytest_百度搜索'
def test_baidu_search(s... | the_stack_v2_python_sparse | pyautoTest-master（ICF-7.5.0）/test_case/1test_baidu_search.py | lizhuoya1111/Automated_testing_practice | train | 0 | |
f1dc1d67d71adc23dad91ea1ba96677645e59ab3 | [
"log.debug('subscribe')\nself.callback = callback\nself.cargo = cargo\nself.service = service\naddr = '%s%s' % (service.url_base, service.event_sub_url)\nPaddr = parse_url(addr)\nheaders = {}\nheaders['User-agent'] = 'BRisa UPnP Framework'\nheaders['TIMEOUT'] = 'Second-300'\nheaders['NT'] = 'upnp:event'\nheaders['C... | <|body_start_0|>
log.debug('subscribe')
self.callback = callback
self.cargo = cargo
self.service = service
addr = '%s%s' % (service.url_base, service.event_sub_url)
Paddr = parse_url(addr)
headers = {}
headers['User-agent'] = 'BRisa UPnP Framework'
... | Wrapper for an event subscription. | SubscribeRequest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubscribeRequest:
"""Wrapper for an event subscription."""
def __init__(self, service, event_host, callback, cargo):
"""Constructor for the SubscribeRequest class. @param service: service that is subscribing @param event_host: 2-tuple (host, port) of the event listener server @param ... | stack_v2_sparse_classes_36k_train_015488 | 17,901 | permissive | [
{
"docstring": "Constructor for the SubscribeRequest class. @param service: service that is subscribing @param event_host: 2-tuple (host, port) of the event listener server @param callback: callback @param cargo: callback parameters @type service: Service @type event_host: tuple @type callback: callable",
"... | 3 | null | Implement the Python class `SubscribeRequest` described below.
Class description:
Wrapper for an event subscription.
Method signatures and docstrings:
- def __init__(self, service, event_host, callback, cargo): Constructor for the SubscribeRequest class. @param service: service that is subscribing @param event_host: ... | Implement the Python class `SubscribeRequest` described below.
Class description:
Wrapper for an event subscription.
Method signatures and docstrings:
- def __init__(self, service, event_host, callback, cargo): Constructor for the SubscribeRequest class. @param service: service that is subscribing @param event_host: ... | 69f9c870369085f4440033201e2fb263a463a523 | <|skeleton|>
class SubscribeRequest:
"""Wrapper for an event subscription."""
def __init__(self, service, event_host, callback, cargo):
"""Constructor for the SubscribeRequest class. @param service: service that is subscribing @param event_host: 2-tuple (host, port) of the event listener server @param ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubscribeRequest:
"""Wrapper for an event subscription."""
def __init__(self, service, event_host, callback, cargo):
"""Constructor for the SubscribeRequest class. @param service: service that is subscribing @param event_host: 2-tuple (host, port) of the event listener server @param callback: cal... | the_stack_v2_python_sparse | WebBrickLibs/brisa/upnp/control_point/service.py | AndyThirtover/wb_gateway | train | 0 |
22cb82d2c92422aa89a0821898d63b60edc58920 | [
"possibles = [set() for i in range(n)]\nfor i in range(n):\n a = i + 1\n for j in range(n):\n b = j + 1\n if a % b == 0 or b % a == 0:\n possibles[i].add(b)\npossibles.sort(key=lambda s: len(s))\n\ndef try_remove_from(possible: int, start: int):\n indexes = []\n for i in range(s... | <|body_start_0|>
possibles = [set() for i in range(n)]
for i in range(n):
a = i + 1
for j in range(n):
b = j + 1
if a % b == 0 or b % a == 0:
possibles[i].add(b)
possibles.sort(key=lambda s: len(s))
def try_remo... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countArrangement_1(self, n: int) -> int:
"""This looks like a back-tracking with pruning problem: - we have to try all combinations - we can abort prematuraly some prefix of solutions How de we know when to abort? - we just list the numbers that are valid at each position: ... | stack_v2_sparse_classes_36k_train_015489 | 3,168 | no_license | [
{
"docstring": "This looks like a back-tracking with pruning problem: - we have to try all combinations - we can abort prematuraly some prefix of solutions How de we know when to abort? - we just list the numbers that are valid at each position: initial phase in O(N ** 2) - we start with the indices with the le... | 2 | stack_v2_sparse_classes_30k_train_005800 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countArrangement_1(self, n: int) -> int: This looks like a back-tracking with pruning problem: - we have to try all combinations - we can abort prematuraly some prefix of sol... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countArrangement_1(self, n: int) -> int: This looks like a back-tracking with pruning problem: - we have to try all combinations - we can abort prematuraly some prefix of sol... | 3ffcfee5cedf421d5de6d0dec4ba53b0eecbbff8 | <|skeleton|>
class Solution:
def countArrangement_1(self, n: int) -> int:
"""This looks like a back-tracking with pruning problem: - we have to try all combinations - we can abort prematuraly some prefix of solutions How de we know when to abort? - we just list the numbers that are valid at each position: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def countArrangement_1(self, n: int) -> int:
"""This looks like a back-tracking with pruning problem: - we have to try all combinations - we can abort prematuraly some prefix of solutions How de we know when to abort? - we just list the numbers that are valid at each position: initial phase ... | the_stack_v2_python_sparse | backtrack/BeautifulArrangements.py | QuentinDuval/PythonExperiments | train | 3 | |
82f08ea102e9fdd8022048f6cca8fbabbf4324f3 | [
"n = len(nums)\nif n == 0:\n return 0\ndp = [0] * n\ndp[0] = 1\nmax_len = 1\nfor i in range(1, n):\n max_val = 0\n for j in range(i):\n if nums[i] > nums[j]:\n max_val = max(max_val, dp[j])\n dp[i] = max_val + 1\n max_len = max(max_len, dp[i])\nreturn max_len",
"n = len(nums)\nif ... | <|body_start_0|>
n = len(nums)
if n == 0:
return 0
dp = [0] * n
dp[0] = 1
max_len = 1
for i in range(1, n):
max_val = 0
for j in range(i):
if nums[i] > nums[j]:
max_val = max(max_val, dp[j])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLIS(self, nums):
"""input| nums: List[int] output| int"""
<|body_0|>
def lengthOfLIS_bisec(self, nums):
"""input| nums: List[int] output| int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(nums)
if n == 0:
... | stack_v2_sparse_classes_36k_train_015490 | 1,740 | no_license | [
{
"docstring": "input| nums: List[int] output| int",
"name": "lengthOfLIS",
"signature": "def lengthOfLIS(self, nums)"
},
{
"docstring": "input| nums: List[int] output| int",
"name": "lengthOfLIS_bisec",
"signature": "def lengthOfLIS_bisec(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006183 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLIS(self, nums): input| nums: List[int] output| int
- def lengthOfLIS_bisec(self, nums): input| nums: List[int] output| int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLIS(self, nums): input| nums: List[int] output| int
- def lengthOfLIS_bisec(self, nums): input| nums: List[int] output| int
<|skeleton|>
class Solution:
def len... | 8290ad1c763d9f7c7f7bed63426b4769b34fd2fc | <|skeleton|>
class Solution:
def lengthOfLIS(self, nums):
"""input| nums: List[int] output| int"""
<|body_0|>
def lengthOfLIS_bisec(self, nums):
"""input| nums: List[int] output| int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lengthOfLIS(self, nums):
"""input| nums: List[int] output| int"""
n = len(nums)
if n == 0:
return 0
dp = [0] * n
dp[0] = 1
max_len = 1
for i in range(1, n):
max_val = 0
for j in range(i):
... | the_stack_v2_python_sparse | dp_300_lengthOfLIS.py | screnary/Algorithm_python | train | 0 | |
f81931f2c6e14ce5f801ceaeeae8884a47883eeb | [
"flags.Instance().AddToParser(parser)\nflags.Config().AddToParser(parser)\nflags.Description().AddToParser(parser)\nresource_args.AddExpireBehaviorArg(parser)\nresource_args.AddInstanceTypeArg(parser)\ngroup_parser = parser.add_argument_group(mutex=True, required=False)\nflags.Nodes().AddToParser(group_parser)\nfla... | <|body_start_0|>
flags.Instance().AddToParser(parser)
flags.Config().AddToParser(parser)
flags.Description().AddToParser(parser)
resource_args.AddExpireBehaviorArg(parser)
resource_args.AddInstanceTypeArg(parser)
group_parser = parser.add_argument_group(mutex=True, requir... | Create a Cloud Spanner instance. | Create | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Create:
"""Create a Cloud Spanner instance."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Please add arguments in alphabetical order except for no- or a clear- pair for that argument which can follow the argument itself. Args: parser: An arg... | stack_v2_sparse_classes_36k_train_015491 | 5,848 | permissive | [
{
"docstring": "Args is called by calliope to gather arguments for this command. Please add arguments in alphabetical order except for no- or a clear- pair for that argument which can follow the argument itself. Args: parser: An argparse parser that you can use to add arguments that go on the command line after... | 2 | stack_v2_sparse_classes_30k_train_018010 | Implement the Python class `Create` described below.
Class description:
Create a Cloud Spanner instance.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Please add arguments in alphabetical order except for no- or a clear- pair for that argument w... | Implement the Python class `Create` described below.
Class description:
Create a Cloud Spanner instance.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Please add arguments in alphabetical order except for no- or a clear- pair for that argument w... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class Create:
"""Create a Cloud Spanner instance."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Please add arguments in alphabetical order except for no- or a clear- pair for that argument which can follow the argument itself. Args: parser: An arg... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Create:
"""Create a Cloud Spanner instance."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Please add arguments in alphabetical order except for no- or a clear- pair for that argument which can follow the argument itself. Args: parser: An argparse parser ... | the_stack_v2_python_sparse | lib/surface/spanner/instances/create.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
e316af4427639441ed2116da2deb81f2b19918eb | [
"data = self.get_json()\nname = data.get('galaxyName')\nif name is None:\n return self.error('galaxyName required to set object host')\nwith self.Session() as session:\n obj = session.scalars(Obj.select(session.user_or_token, mode='update').where(Obj.id == obj_id)).first()\n if obj is None:\n return... | <|body_start_0|>
data = self.get_json()
name = data.get('galaxyName')
if name is None:
return self.error('galaxyName required to set object host')
with self.Session() as session:
obj = session.scalars(Obj.select(session.user_or_token, mode='update').where(Obj.id =... | ObjHostHandler | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObjHostHandler:
def post(self, obj_id):
"""--- description: Set an object's host galaxy tags: - objs - galaxys parameters: - in: path name: obj_id required: true schema: type: string requestBody: content: application/json: schema: type: object properties: galaxyName: type: string descrip... | stack_v2_sparse_classes_36k_train_015492 | 41,985 | permissive | [
{
"docstring": "--- description: Set an object's host galaxy tags: - objs - galaxys parameters: - in: path name: obj_id required: true schema: type: string requestBody: content: application/json: schema: type: object properties: galaxyName: type: string description: | Name of the galaxy to associate with the ob... | 2 | stack_v2_sparse_classes_30k_train_018529 | Implement the Python class `ObjHostHandler` described below.
Class description:
Implement the ObjHostHandler class.
Method signatures and docstrings:
- def post(self, obj_id): --- description: Set an object's host galaxy tags: - objs - galaxys parameters: - in: path name: obj_id required: true schema: type: string re... | Implement the Python class `ObjHostHandler` described below.
Class description:
Implement the ObjHostHandler class.
Method signatures and docstrings:
- def post(self, obj_id): --- description: Set an object's host galaxy tags: - objs - galaxys parameters: - in: path name: obj_id required: true schema: type: string re... | 161d3532ba3ba059446addcdac58ca96f39e9636 | <|skeleton|>
class ObjHostHandler:
def post(self, obj_id):
"""--- description: Set an object's host galaxy tags: - objs - galaxys parameters: - in: path name: obj_id required: true schema: type: string requestBody: content: application/json: schema: type: object properties: galaxyName: type: string descrip... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ObjHostHandler:
def post(self, obj_id):
"""--- description: Set an object's host galaxy tags: - objs - galaxys parameters: - in: path name: obj_id required: true schema: type: string requestBody: content: application/json: schema: type: object properties: galaxyName: type: string description: | Name o... | the_stack_v2_python_sparse | skyportal/handlers/api/galaxy.py | skyportal/skyportal | train | 80 | |
34cef8b96047866cb54a7651d926dd3b0ec89221 | [
"mce_attrs = {}\nif obj:\n link_list_url = self.get_link_list_url(request, field, obj)\n image_list_url = self.get_image_list_url(request, field, obj)\nelse:\n link_list_url = self.get_link_list_url(request, field)\n image_list_url = self.get_image_list_url(request, field)\nif link_list_url:\n mce_at... | <|body_start_0|>
mce_attrs = {}
if obj:
link_list_url = self.get_link_list_url(request, field, obj)
image_list_url = self.get_image_list_url(request, field, obj)
else:
link_list_url = self.get_link_list_url(request, field)
image_list_url = self.get... | Example usage:: class BrandTranslationInline(TinyMCEAdminListMixin, TranslationInline): model = BrandTranslation tinymce_fields = ('description', ) def get_image_list_url(self, request, field, obj=None): if obj: return reverse('admin:basic_webshop_brand_image_list', args=(obj.pk, )) else: return None | TinyMCEAdminListMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TinyMCEAdminListMixin:
"""Example usage:: class BrandTranslationInline(TinyMCEAdminListMixin, TranslationInline): model = BrandTranslation tinymce_fields = ('description', ) def get_image_list_url(self, request, field, obj=None): if obj: return reverse('admin:basic_webshop_brand_image_list', args... | stack_v2_sparse_classes_36k_train_015493 | 5,965 | no_license | [
{
"docstring": "Return the appropriate TinyMCE widget.",
"name": "get_tinymce_widget",
"signature": "def get_tinymce_widget(self, request, field, obj)"
},
{
"docstring": "Override the form widget for the content field with a TinyMCE field which uses a dynamically assigned image list.",
"name... | 2 | stack_v2_sparse_classes_30k_train_003672 | Implement the Python class `TinyMCEAdminListMixin` described below.
Class description:
Example usage:: class BrandTranslationInline(TinyMCEAdminListMixin, TranslationInline): model = BrandTranslation tinymce_fields = ('description', ) def get_image_list_url(self, request, field, obj=None): if obj: return reverse('admi... | Implement the Python class `TinyMCEAdminListMixin` described below.
Class description:
Example usage:: class BrandTranslationInline(TinyMCEAdminListMixin, TranslationInline): model = BrandTranslation tinymce_fields = ('description', ) def get_image_list_url(self, request, field, obj=None): if obj: return reverse('admi... | 618dee93539ecc4d1ff20aafb138ee85b4d6173b | <|skeleton|>
class TinyMCEAdminListMixin:
"""Example usage:: class BrandTranslationInline(TinyMCEAdminListMixin, TranslationInline): model = BrandTranslation tinymce_fields = ('description', ) def get_image_list_url(self, request, field, obj=None): if obj: return reverse('admin:basic_webshop_brand_image_list', args... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TinyMCEAdminListMixin:
"""Example usage:: class BrandTranslationInline(TinyMCEAdminListMixin, TranslationInline): model = BrandTranslation tinymce_fields = ('description', ) def get_image_list_url(self, request, field, obj=None): if obj: return reverse('admin:basic_webshop_brand_image_list', args=(obj.pk, )) ... | the_stack_v2_python_sparse | basic_webshop/baseadmin.py | dokterbob/basic-webshop | train | 1 |
ef756d1f328db913294797b1c75adf059262fb9c | [
"if not height:\n return 0\nmax_hgt = max(height)\nlength = len(height)\nresult = length * max_hgt\nleft = 0\nright = length - 1\nwhile height[left] < max_hgt:\n left += 1\nwhile height[right] < max_hgt:\n right -= 1\ncurr = 0\nlast = 0\nwhile curr < left:\n if height[curr] > last:\n last = heigh... | <|body_start_0|>
if not height:
return 0
max_hgt = max(height)
length = len(height)
result = length * max_hgt
left = 0
right = length - 1
while height[left] < max_hgt:
left += 1
while height[right] < max_hgt:
right -= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def trap_old(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def trap(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not height:
return 0
max... | stack_v2_sparse_classes_36k_train_015494 | 1,926 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "trap_old",
"signature": "def trap_old(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "trap",
"signature": "def trap(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000096 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap_old(self, height): :type height: List[int] :rtype: int
- def trap(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 trap_old(self, height): :type height: List[int] :rtype: int
- def trap(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def trap_old(self... | dbdb227e12f329e4ca064b338f1fbdca42f3a848 | <|skeleton|>
class Solution:
def trap_old(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def trap(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def trap_old(self, height):
""":type height: List[int] :rtype: int"""
if not height:
return 0
max_hgt = max(height)
length = len(height)
result = length * max_hgt
left = 0
right = length - 1
while height[left] < max_hgt:
... | the_stack_v2_python_sparse | LC42.py | Qiao-Liang/LeetCode | train | 0 | |
33f01f6a41f63f4a22c9c3457d71ed2d44853e5e | [
"super(InTriggerDistanceToNextIntersection, self).__init__(name)\nself.logger.debug('%s.__init__()' % self.__class__.__name__)\nself._actor = actor\nself._distance = distance\nself._map = self._actor.get_world().get_map()\nwaypoint = self._map.get_waypoint(self._actor.get_location())\nwhile not waypoint.is_intersec... | <|body_start_0|>
super(InTriggerDistanceToNextIntersection, self).__init__(name)
self.logger.debug('%s.__init__()' % self.__class__.__name__)
self._actor = actor
self._distance = distance
self._map = self._actor.get_world().get_map()
waypoint = self._map.get_waypoint(self... | This class contains the trigger (condition) for a distance to the next intersection of a scenario | InTriggerDistanceToNextIntersection | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InTriggerDistanceToNextIntersection:
"""This class contains the trigger (condition) for a distance to the next intersection of a scenario"""
def __init__(self, actor, distance, name='InTriggerDistanceToNextIntersection'):
"""Setup trigger distance"""
<|body_0|>
def updat... | stack_v2_sparse_classes_36k_train_015495 | 25,380 | permissive | [
{
"docstring": "Setup trigger distance",
"name": "__init__",
"signature": "def __init__(self, actor, distance, name='InTriggerDistanceToNextIntersection')"
},
{
"docstring": "Check if the actor is within trigger distance to the intersection",
"name": "update",
"signature": "def update(se... | 2 | stack_v2_sparse_classes_30k_train_009063 | Implement the Python class `InTriggerDistanceToNextIntersection` described below.
Class description:
This class contains the trigger (condition) for a distance to the next intersection of a scenario
Method signatures and docstrings:
- def __init__(self, actor, distance, name='InTriggerDistanceToNextIntersection'): Se... | Implement the Python class `InTriggerDistanceToNextIntersection` described below.
Class description:
This class contains the trigger (condition) for a distance to the next intersection of a scenario
Method signatures and docstrings:
- def __init__(self, actor, distance, name='InTriggerDistanceToNextIntersection'): Se... | 1d3e8339f8e60f7bdcaefeff49ec238b1746b047 | <|skeleton|>
class InTriggerDistanceToNextIntersection:
"""This class contains the trigger (condition) for a distance to the next intersection of a scenario"""
def __init__(self, actor, distance, name='InTriggerDistanceToNextIntersection'):
"""Setup trigger distance"""
<|body_0|>
def updat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InTriggerDistanceToNextIntersection:
"""This class contains the trigger (condition) for a distance to the next intersection of a scenario"""
def __init__(self, actor, distance, name='InTriggerDistanceToNextIntersection'):
"""Setup trigger distance"""
super(InTriggerDistanceToNextIntersect... | the_stack_v2_python_sparse | srunner/scenariomanager/atomic_scenario_behavior.py | chauvinSimon/scenario_runner | train | 2 |
4a0bab33da7154d9fe2820b3ab96d4e0b7380a68 | [
"self.prot_attr = prot_attr\nself.estimator = estimator\nself.constraints = constraints\nself.constraint_weight = constraint_weight\nself.grid_size = grid_size\nself.grid_limit = grid_limit\nself.grid = grid\nself.drop_prot_attr = drop_prot_attr\nself.loss = loss\nself.min_val = min_val\nself.max_val = max_val",
... | <|body_start_0|>
self.prot_attr = prot_attr
self.estimator = estimator
self.constraints = constraints
self.constraint_weight = constraint_weight
self.grid_size = grid_size
self.grid_limit = grid_limit
self.grid = grid
self.drop_prot_attr = drop_prot_attr
... | Grid search reduction for fair classification or regression. Grid search is an in-processing technique that can be used for fair classification or fair regression. For classification it reduces fair classification to a sequence of cost-sensitive classification problems, returning the deterministic classifier with the l... | GridSearchReduction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GridSearchReduction:
"""Grid search reduction for fair classification or regression. Grid search is an in-processing technique that can be used for fair classification or fair regression. For classification it reduces fair classification to a sequence of cost-sensitive classification problems, re... | stack_v2_sparse_classes_36k_train_015496 | 8,519 | permissive | [
{
"docstring": "Args: prot_attr: String or array-like column indices or column names of protected attributes. estimator: An estimator implementing methods ``fit(X, y, sample_weight)`` and ``predict(X)``, where ``X`` is the matrix of features, ``y`` is the vector of labels, and ``sample_weight`` is a vector of w... | 4 | stack_v2_sparse_classes_30k_train_011320 | Implement the Python class `GridSearchReduction` described below.
Class description:
Grid search reduction for fair classification or regression. Grid search is an in-processing technique that can be used for fair classification or fair regression. For classification it reduces fair classification to a sequence of cos... | Implement the Python class `GridSearchReduction` described below.
Class description:
Grid search reduction for fair classification or regression. Grid search is an in-processing technique that can be used for fair classification or fair regression. For classification it reduces fair classification to a sequence of cos... | 6f9972e4a7dbca2402f29b86ea67889143dbeb3e | <|skeleton|>
class GridSearchReduction:
"""Grid search reduction for fair classification or regression. Grid search is an in-processing technique that can be used for fair classification or fair regression. For classification it reduces fair classification to a sequence of cost-sensitive classification problems, re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GridSearchReduction:
"""Grid search reduction for fair classification or regression. Grid search is an in-processing technique that can be used for fair classification or fair regression. For classification it reduces fair classification to a sequence of cost-sensitive classification problems, returning the d... | the_stack_v2_python_sparse | aif360/sklearn/inprocessing/grid_search_reduction.py | Trusted-AI/AIF360 | train | 1,157 |
c8971923f727c82ba4b6f6429304d713cd340567 | [
"self.vitesse = 75\nself.pin_enable = pin_enable\nself.pin_in_1 = pin_in_1\nself.pin_in_2 = pin_in_2\nGPIO.setup(self.pin_enable, GPIO.OUT)\nGPIO.setup(self.pin_in_1, GPIO.OUT)\nGPIO.setup(self.pin_in_2, GPIO.OUT)\nGPIO.output(self.pin_in_1, GPIO.LOW)\nGPIO.output(self.pin_in_2, GPIO.LOW)\nself.speed = GPIO.PWM(sel... | <|body_start_0|>
self.vitesse = 75
self.pin_enable = pin_enable
self.pin_in_1 = pin_in_1
self.pin_in_2 = pin_in_2
GPIO.setup(self.pin_enable, GPIO.OUT)
GPIO.setup(self.pin_in_1, GPIO.OUT)
GPIO.setup(self.pin_in_2, GPIO.OUT)
GPIO.output(self.pin_in_1, GPIO.... | classe de pilotage d'un moteur DC sur driver L298N | MotorDC | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MotorDC:
"""classe de pilotage d'un moteur DC sur driver L298N"""
def __init__(self, pin_enable, pin_in_1, pin_in_2):
"""initialise les pins de pilotage du driver"""
<|body_0|>
def stop(self):
"""arrete le moteur"""
<|body_1|>
def forward(self):
... | stack_v2_sparse_classes_36k_train_015497 | 4,598 | no_license | [
{
"docstring": "initialise les pins de pilotage du driver",
"name": "__init__",
"signature": "def __init__(self, pin_enable, pin_in_1, pin_in_2)"
},
{
"docstring": "arrete le moteur",
"name": "stop",
"signature": "def stop(self)"
},
{
"docstring": "fait avancer le moteur",
"n... | 4 | stack_v2_sparse_classes_30k_train_020121 | Implement the Python class `MotorDC` described below.
Class description:
classe de pilotage d'un moteur DC sur driver L298N
Method signatures and docstrings:
- def __init__(self, pin_enable, pin_in_1, pin_in_2): initialise les pins de pilotage du driver
- def stop(self): arrete le moteur
- def forward(self): fait ava... | Implement the Python class `MotorDC` described below.
Class description:
classe de pilotage d'un moteur DC sur driver L298N
Method signatures and docstrings:
- def __init__(self, pin_enable, pin_in_1, pin_in_2): initialise les pins de pilotage du driver
- def stop(self): arrete le moteur
- def forward(self): fait ava... | b7641573580a50b8770c09f55f0de927b8d41055 | <|skeleton|>
class MotorDC:
"""classe de pilotage d'un moteur DC sur driver L298N"""
def __init__(self, pin_enable, pin_in_1, pin_in_2):
"""initialise les pins de pilotage du driver"""
<|body_0|>
def stop(self):
"""arrete le moteur"""
<|body_1|>
def forward(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MotorDC:
"""classe de pilotage d'un moteur DC sur driver L298N"""
def __init__(self, pin_enable, pin_in_1, pin_in_2):
"""initialise les pins de pilotage du driver"""
self.vitesse = 75
self.pin_enable = pin_enable
self.pin_in_1 = pin_in_1
self.pin_in_2 = pin_in_2
... | the_stack_v2_python_sparse | poulailler-console/modules/porte_dc.py | lremy/poulailler-manager | train | 0 |
5bb3a89ec388420e25a02d8d1915da64268be1b7 | [
"result = self.valiant.get_package_metadata(package_name=self.argument('package'), package_version=self.argument('version'), repository_name=self.option('repository'))\nif not result:\n raise ValueError('Package details could not be loaded.')\nreturn Payload(metadata=result.package_metadata)",
"if not data.met... | <|body_start_0|>
result = self.valiant.get_package_metadata(package_name=self.argument('package'), package_version=self.argument('version'), repository_name=self.option('repository'))
if not result:
raise ValueError('Package details could not be loaded.')
return Payload(metadata=resu... | Describes a package. show {package : The package name} {version : The package version} {--r|repository= : The repository to use} | ShowCommand | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShowCommand:
"""Describes a package. show {package : The package name} {version : The package version} {--r|repository= : The repository to use}"""
def prepare_data(self) -> Payload:
"""Gets the package metadata. Returns: Package metadata Raises: ValueError: When the package data can... | stack_v2_sparse_classes_36k_train_015498 | 2,671 | permissive | [
{
"docstring": "Gets the package metadata. Returns: Package metadata Raises: ValueError: When the package data can't be loaded",
"name": "prepare_data",
"signature": "def prepare_data(self) -> Payload"
},
{
"docstring": "Prepares text representations. Args: data: A payload that must have the pac... | 2 | stack_v2_sparse_classes_30k_train_014643 | Implement the Python class `ShowCommand` described below.
Class description:
Describes a package. show {package : The package name} {version : The package version} {--r|repository= : The repository to use}
Method signatures and docstrings:
- def prepare_data(self) -> Payload: Gets the package metadata. Returns: Packa... | Implement the Python class `ShowCommand` described below.
Class description:
Describes a package. show {package : The package name} {version : The package version} {--r|repository= : The repository to use}
Method signatures and docstrings:
- def prepare_data(self) -> Payload: Gets the package metadata. Returns: Packa... | 786d417a7903d40e54136f645fdbe51575612902 | <|skeleton|>
class ShowCommand:
"""Describes a package. show {package : The package name} {version : The package version} {--r|repository= : The repository to use}"""
def prepare_data(self) -> Payload:
"""Gets the package metadata. Returns: Package metadata Raises: ValueError: When the package data can... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ShowCommand:
"""Describes a package. show {package : The package name} {version : The package version} {--r|repository= : The repository to use}"""
def prepare_data(self) -> Payload:
"""Gets the package metadata. Returns: Package metadata Raises: ValueError: When the package data can't be loaded"... | the_stack_v2_python_sparse | src/valiant/console/commands/show.py | pomes/valiant | train | 4 |
63b74731f598e1fbf23429e4346645db97f8816e | [
"possible_words = list(set([w for w in ''.join(wordList)]))\nwordList = set(wordList)\nqueue = [(beginWord, 1)]\nvisited = set()\nwhile queue:\n word, step = queue.pop(0)\n if word == endWord:\n return step\n for i in range(len(word)):\n for p in possible_words:\n temp_word = word[... | <|body_start_0|>
possible_words = list(set([w for w in ''.join(wordList)]))
wordList = set(wordList)
queue = [(beginWord, 1)]
visited = set()
while queue:
word, step = queue.pop(0)
if word == endWord:
return step
for i in range(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def ladderLength(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int"""
<|body_0|>
def lemonadeChange(self, bills):
""":type bills: List[int] :rtype: bool"""
<|body_1|>
def findC... | stack_v2_sparse_classes_36k_train_015499 | 3,746 | no_license | [
{
"docstring": ":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int",
"name": "ladderLength",
"signature": "def ladderLength(self, beginWord, endWord, wordList)"
},
{
"docstring": ":type bills: List[int] :rtype: bool",
"name": "lemonadeChange",
"signature": "def... | 6 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def ladderLength(self, beginWord, endWord, wordList): :type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int
- def lemonadeChange(self, bills): :type bills... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def ladderLength(self, beginWord, endWord, wordList): :type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int
- def lemonadeChange(self, bills): :type bills... | 3b13b36f37eb364410b3b5b4f10a1808d8b1111e | <|skeleton|>
class Solution:
def ladderLength(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int"""
<|body_0|>
def lemonadeChange(self, bills):
""":type bills: List[int] :rtype: bool"""
<|body_1|>
def findC... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def ladderLength(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int"""
possible_words = list(set([w for w in ''.join(wordList)]))
wordList = set(wordList)
queue = [(beginWord, 1)]
visited = set... | the_stack_v2_python_sparse | practice/20191101.py | yanggelinux/algorithm-data-structure | train | 0 |
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