blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 467 8.64k | id stringlengths 40 40 | length_bytes int64 515 49.7k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 160 3.93k | prompted_full_text stringlengths 681 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.09k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 331 8.3k | source stringclasses 1
value | source_path stringlengths 5 177 | source_repo stringlengths 6 88 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
122b0681a25c45b66b89c7f99c1b562d6e44ffbd | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(email=MyUserManager.normalize_email(email), date_of_birth=date_of_birth or timezone.now(), first_name=first_name or '', last_name=last_name or '')\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"if ... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=MyUserManager.normalize_email(email), date_of_birth=date_of_birth or timezone.now(), first_name=first_name or '', last_name=last_name or '')
user.set_password(password)
... | MyUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, email, first_name=None, last_name=None, date_of_birth=None, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, email, date_of_birth, first_name, last_name... | stack_v2_sparse_classes_10k_train_003000 | 1,411 | no_license | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, email, first_name=None, last_name=None, date_of_birth=None, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given emai... | 2 | stack_v2_sparse_classes_30k_train_006783 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, email, first_name=None, last_name=None, date_of_birth=None, password=None): Creates and saves a User with the given email, date of birth and passw... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, email, first_name=None, last_name=None, date_of_birth=None, password=None): Creates and saves a User with the given email, date of birth and passw... | 42654f6c058de095ac6ff540bdd89854b7f864f9 | <|skeleton|>
class MyUserManager:
def create_user(self, email, first_name=None, last_name=None, date_of_birth=None, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, email, date_of_birth, first_name, last_name... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MyUserManager:
def create_user(self, email, first_name=None, last_name=None, date_of_birth=None, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
if not email:
raise ValueError('Users must have an email address')
user = self.m... | the_stack_v2_python_sparse | thesis/DavideCrestini/tesi-crestini/Piattaforma/services/managers.py | lbedogni/iot | train | 0 | |
50d5841ee894fff16f008ede12fe243370a5cb00 | [
"if self.Briefcase:\n from cs.workflow.processes import Process\n if self.Briefcase.Process and self.Briefcase.Process.status in [Process.COMPLETED.status, Process.FAILED.status]:\n raise ue.Exception('cdbwf_process_already_closed')",
"if self.Briefcase:\n if not self.Briefcase.CheckAccess('edit s... | <|body_start_0|>
if self.Briefcase:
from cs.workflow.processes import Process
if self.Briefcase.Process and self.Briefcase.Process.status in [Process.COMPLETED.status, Process.FAILED.status]:
raise ue.Exception('cdbwf_process_already_closed')
<|end_body_0|>
<|body_start_... | FolderContent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FolderContent:
def check_process_status(self, ctx):
"""Check that the briefcase process is not closed"""
<|body_0|>
def check_briefcase_rights(self, ctx):
"""Check that the current user has the necessary access rights"""
<|body_1|>
def check_briefcase_co... | stack_v2_sparse_classes_10k_train_003001 | 20,066 | no_license | [
{
"docstring": "Check that the briefcase process is not closed",
"name": "check_process_status",
"signature": "def check_process_status(self, ctx)"
},
{
"docstring": "Check that the current user has the necessary access rights",
"name": "check_briefcase_rights",
"signature": "def check_b... | 5 | null | Implement the Python class `FolderContent` described below.
Class description:
Implement the FolderContent class.
Method signatures and docstrings:
- def check_process_status(self, ctx): Check that the briefcase process is not closed
- def check_briefcase_rights(self, ctx): Check that the current user has the necessa... | Implement the Python class `FolderContent` described below.
Class description:
Implement the FolderContent class.
Method signatures and docstrings:
- def check_process_status(self, ctx): Check that the briefcase process is not closed
- def check_briefcase_rights(self, ctx): Check that the current user has the necessa... | 6bc932c67bc8d93b873838ae6d9fb8d33c72234d | <|skeleton|>
class FolderContent:
def check_process_status(self, ctx):
"""Check that the briefcase process is not closed"""
<|body_0|>
def check_briefcase_rights(self, ctx):
"""Check that the current user has the necessary access rights"""
<|body_1|>
def check_briefcase_co... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FolderContent:
def check_process_status(self, ctx):
"""Check that the briefcase process is not closed"""
if self.Briefcase:
from cs.workflow.processes import Process
if self.Briefcase.Process and self.Briefcase.Process.status in [Process.COMPLETED.status, Process.FAILED... | the_stack_v2_python_sparse | site-packages/cs.workflow-15.4.1.3-py2.7.egg/cs/workflow/briefcases.py | prachipainuly-rbei/devops-poc | train | 0 | |
6364968a8d0c1cb2c18f1c467261b272386e1e38 | [
"if request.version != 'v1':\n return Response(status=status.HTTP_505_HTTP_VERSION_NOT_SUPPORTED)\nserializer = SearchNotRequiredSerializer(data={'service': 'all', 'types': 'coming_soon'}, context={'request': request, 'kwargs': kwargs})\nserializer.is_valid(raise_exception=True)\nreturn Response(data=serializer.... | <|body_start_0|>
if request.version != 'v1':
return Response(status=status.HTTP_505_HTTP_VERSION_NOT_SUPPORTED)
serializer = SearchNotRequiredSerializer(data={'service': 'all', 'types': 'coming_soon'}, context={'request': request, 'kwargs': kwargs})
serializer.is_valid(raise_exceptio... | Releases view. | ReleasesView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReleasesView:
"""Releases view."""
def get(self, request, *args, **kwargs):
"""GET request"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""POST request."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if request.version != 'v1':
... | stack_v2_sparse_classes_10k_train_003002 | 12,742 | no_license | [
{
"docstring": "GET request",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "POST request.",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003286 | Implement the Python class `ReleasesView` described below.
Class description:
Releases view.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): GET request
- def post(self, request, *args, **kwargs): POST request. | Implement the Python class `ReleasesView` described below.
Class description:
Releases view.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): GET request
- def post(self, request, *args, **kwargs): POST request.
<|skeleton|>
class ReleasesView:
"""Releases view."""
def get(self, ... | cd8767b5eeaef3a09d77c936781b4126fd8591de | <|skeleton|>
class ReleasesView:
"""Releases view."""
def get(self, request, *args, **kwargs):
"""GET request"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""POST request."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ReleasesView:
"""Releases view."""
def get(self, request, *args, **kwargs):
"""GET request"""
if request.version != 'v1':
return Response(status=status.HTTP_505_HTTP_VERSION_NOT_SUPPORTED)
serializer = SearchNotRequiredSerializer(data={'service': 'all', 'types': 'comin... | the_stack_v2_python_sparse | api/services/views.py | ignite7/backproject | train | 0 |
860f137d1e13cc74c627e4ed4df8ede91e3abcec | [
"self.interface_name = interface_name\nself.ip_family = ip_family\nself.ips = ips\nself.node_ids = node_ids\nself.role = role\nself.subnet_gateway = subnet_gateway\nself.subnet_mask_bits = subnet_mask_bits",
"if dictionary is None:\n return None\ninterface_name = dictionary.get('interfaceName')\nip_family = di... | <|body_start_0|>
self.interface_name = interface_name
self.ip_family = ip_family
self.ips = ips
self.node_ids = node_ids
self.role = role
self.subnet_gateway = subnet_gateway
self.subnet_mask_bits = subnet_mask_bits
<|end_body_0|>
<|body_start_1|>
if dict... | Implementation of the 'IpConfig' model. Specifies the configuration of an IP. Attributes: interface_name (string): The interface name. Specifies which interface to assign IP to. ip_family (int): IpFamily of this config. ips (list of string): The interface ips. node_ids (list of long|int): Node ids. role (string): The i... | IpConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IpConfig:
"""Implementation of the 'IpConfig' model. Specifies the configuration of an IP. Attributes: interface_name (string): The interface name. Specifies which interface to assign IP to. ip_family (int): IpFamily of this config. ips (list of string): The interface ips. node_ids (list of long|... | stack_v2_sparse_classes_10k_train_003003 | 2,714 | permissive | [
{
"docstring": "Constructor for the IpConfig class",
"name": "__init__",
"signature": "def __init__(self, interface_name=None, ip_family=None, ips=None, node_ids=None, role=None, subnet_gateway=None, subnet_mask_bits=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary A... | 2 | null | Implement the Python class `IpConfig` described below.
Class description:
Implementation of the 'IpConfig' model. Specifies the configuration of an IP. Attributes: interface_name (string): The interface name. Specifies which interface to assign IP to. ip_family (int): IpFamily of this config. ips (list of string): The... | Implement the Python class `IpConfig` described below.
Class description:
Implementation of the 'IpConfig' model. Specifies the configuration of an IP. Attributes: interface_name (string): The interface name. Specifies which interface to assign IP to. ip_family (int): IpFamily of this config. ips (list of string): The... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class IpConfig:
"""Implementation of the 'IpConfig' model. Specifies the configuration of an IP. Attributes: interface_name (string): The interface name. Specifies which interface to assign IP to. ip_family (int): IpFamily of this config. ips (list of string): The interface ips. node_ids (list of long|... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class IpConfig:
"""Implementation of the 'IpConfig' model. Specifies the configuration of an IP. Attributes: interface_name (string): The interface name. Specifies which interface to assign IP to. ip_family (int): IpFamily of this config. ips (list of string): The interface ips. node_ids (list of long|int): Node id... | the_stack_v2_python_sparse | cohesity_management_sdk/models/ip_config.py | cohesity/management-sdk-python | train | 24 |
ca22dfd51b35f33ad9fce95942d9d774abd8cbda | [
"res = []\nstack = []\ncur = root\nwhile cur or stack:\n while cur:\n stack.append(cur)\n cur = cur.left\n cur = stack.pop()\n if cur:\n res.append(cur.val)\n cur = cur.right\nreturn res[len(res) - k]",
"res = []\nstack = []\ncur = root\nwhile cur or stack:\n if cur:\n ... | <|body_start_0|>
res = []
stack = []
cur = root
while cur or stack:
while cur:
stack.append(cur)
cur = cur.left
cur = stack.pop()
if cur:
res.append(cur.val)
cur = cur.right
return... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def kthLargest0(self, root, k):
""":type root: TreeNode :type k: int :rtype: int"""
<|body_0|>
def kthLargest1(self, root, k):
""":type root: TreeNode :type k: int :rtype: int"""
<|body_1|>
def kthLargest1(self, root, k):
""":type root:... | stack_v2_sparse_classes_10k_train_003004 | 1,990 | no_license | [
{
"docstring": ":type root: TreeNode :type k: int :rtype: int",
"name": "kthLargest0",
"signature": "def kthLargest0(self, root, k)"
},
{
"docstring": ":type root: TreeNode :type k: int :rtype: int",
"name": "kthLargest1",
"signature": "def kthLargest1(self, root, k)"
},
{
"docst... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kthLargest0(self, root, k): :type root: TreeNode :type k: int :rtype: int
- def kthLargest1(self, root, k): :type root: TreeNode :type k: int :rtype: int
- def kthLargest1(se... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kthLargest0(self, root, k): :type root: TreeNode :type k: int :rtype: int
- def kthLargest1(self, root, k): :type root: TreeNode :type k: int :rtype: int
- def kthLargest1(se... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def kthLargest0(self, root, k):
""":type root: TreeNode :type k: int :rtype: int"""
<|body_0|>
def kthLargest1(self, root, k):
""":type root: TreeNode :type k: int :rtype: int"""
<|body_1|>
def kthLargest1(self, root, k):
""":type root:... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def kthLargest0(self, root, k):
""":type root: TreeNode :type k: int :rtype: int"""
res = []
stack = []
cur = root
while cur or stack:
while cur:
stack.append(cur)
cur = cur.left
cur = stack.pop()
... | the_stack_v2_python_sparse | 剑指 Offer 54. 二叉搜索树的第k大节点.py | yangyuxiang1996/leetcode | train | 0 | |
2f0cfa672d6a1069d0647c0dd3593ccaa8527330 | [
"self.InitAttr(node, bool, IES_IMPORT_PRINT_TO_CONSOLE)\nnode[IES_IMPORT_PRINT_TO_CONSOLE] = True\nreturn True",
"if 'txt' in name[-3:]:\n if bytes(probe[0:17]).decode().upper() == 'IES Meta Exporter'.upper():\n return True\nreturn False",
"dialogAllowed = bool(filterflags & c4d.SCENEFILTER_DIALOGSALL... | <|body_start_0|>
self.InitAttr(node, bool, IES_IMPORT_PRINT_TO_CONSOLE)
node[IES_IMPORT_PRINT_TO_CONSOLE] = True
return True
<|end_body_0|>
<|body_start_1|>
if 'txt' in name[-3:]:
if bytes(probe[0:17]).decode().upper() == 'IES Meta Exporter'.upper():
return T... | IESMeta Loader | IESMetaLoader | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IESMetaLoader:
"""IESMeta Loader"""
def Init(self, node):
"""Called when a new instance of this object is created. In this context, this allow to define the option by default for the SceneLoaderPlugin that will be displayed to the user. Returns: bool: False if there was an error, oth... | stack_v2_sparse_classes_10k_train_003005 | 7,074 | permissive | [
{
"docstring": "Called when a new instance of this object is created. In this context, this allow to define the option by default for the SceneLoaderPlugin that will be displayed to the user. Returns: bool: False if there was an error, otherwise True.",
"name": "Init",
"signature": "def Init(self, node)... | 3 | stack_v2_sparse_classes_30k_train_002602 | Implement the Python class `IESMetaLoader` described below.
Class description:
IESMeta Loader
Method signatures and docstrings:
- def Init(self, node): Called when a new instance of this object is created. In this context, this allow to define the option by default for the SceneLoaderPlugin that will be displayed to ... | Implement the Python class `IESMetaLoader` described below.
Class description:
IESMeta Loader
Method signatures and docstrings:
- def Init(self, node): Called when a new instance of this object is created. In this context, this allow to define the option by default for the SceneLoaderPlugin that will be displayed to ... | b1ea3fce533df34094bc3d0bd6460dfb84306e53 | <|skeleton|>
class IESMetaLoader:
"""IESMeta Loader"""
def Init(self, node):
"""Called when a new instance of this object is created. In this context, this allow to define the option by default for the SceneLoaderPlugin that will be displayed to the user. Returns: bool: False if there was an error, oth... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class IESMetaLoader:
"""IESMeta Loader"""
def Init(self, node):
"""Called when a new instance of this object is created. In this context, this allow to define the option by default for the SceneLoaderPlugin that will be displayed to the user. Returns: bool: False if there was an error, otherwise True."... | the_stack_v2_python_sparse | plugins/py-ies_meta_r12/py-ies-meta_loader.pyp | PluginCafe/cinema4d_py_sdk_extended | train | 112 |
66f4852fd4f4ffadd33f36f25760bfa23338c89c | [
"sketch = Sketch.query.get_with_acl(sketch_id)\nif not sketch:\n abort(HTTP_STATUS_CODE_NOT_FOUND, 'No sketch found with this ID')\nquestion = InvestigativeQuestion.query.get(question_id)\nif not question:\n abort(HTTP_STATUS_CODE_NOT_FOUND, 'No question found with this ID')\nconclusion = InvestigativeQuestio... | <|body_start_0|>
sketch = Sketch.query.get_with_acl(sketch_id)
if not sketch:
abort(HTTP_STATUS_CODE_NOT_FOUND, 'No sketch found with this ID')
question = InvestigativeQuestion.query.get(question_id)
if not question:
abort(HTTP_STATUS_CODE_NOT_FOUND, 'No question ... | Resource for investigative question conclusion. | QuestionConclusionResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuestionConclusionResource:
"""Resource for investigative question conclusion."""
def put(self, sketch_id, question_id, conclusion_id):
"""Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion."""
<|body_0|>
def delete(s... | stack_v2_sparse_classes_10k_train_003006 | 15,391 | permissive | [
{
"docstring": "Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion.",
"name": "put",
"signature": "def put(self, sketch_id, question_id, conclusion_id)"
},
{
"docstring": "Handles DELETE request to the resource. Deletes a conclusion.",
"n... | 2 | null | Implement the Python class `QuestionConclusionResource` described below.
Class description:
Resource for investigative question conclusion.
Method signatures and docstrings:
- def put(self, sketch_id, question_id, conclusion_id): Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation o... | Implement the Python class `QuestionConclusionResource` described below.
Class description:
Resource for investigative question conclusion.
Method signatures and docstrings:
- def put(self, sketch_id, question_id, conclusion_id): Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation o... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class QuestionConclusionResource:
"""Resource for investigative question conclusion."""
def put(self, sketch_id, question_id, conclusion_id):
"""Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion."""
<|body_0|>
def delete(s... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class QuestionConclusionResource:
"""Resource for investigative question conclusion."""
def put(self, sketch_id, question_id, conclusion_id):
"""Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion."""
sketch = Sketch.query.get_with_acl(sketch... | the_stack_v2_python_sparse | timesketch/api/v1/resources/scenarios.py | google/timesketch | train | 2,263 |
a6c53500d7c4a8c3ca60da77dee6bbd3a0bfaa94 | [
"self.capacity_gib = capacity_gib\nself.expiry_time = expiry_time\nself.feature_name = feature_name\nself.license_type = license_type\nself.num_vm = num_vm\nself.product_description = product_description\nself.product_info = product_info",
"if dictionary is None:\n return None\ncapacity_gib = dictionary.get('c... | <|body_start_0|>
self.capacity_gib = capacity_gib
self.expiry_time = expiry_time
self.feature_name = feature_name
self.license_type = license_type
self.num_vm = num_vm
self.product_description = product_description
self.product_info = product_info
<|end_body_0|>
... | Implementation of the 'LicensedUsage' model. TODO: type description here. Attributes: capacity_gib (long|int): Feature usage by the cluster. expiry_time (long|int): Expiry time(epoch) of each feature. There could be multiple expiry time for the given SKU. feature_name (string): Name of feature. license_type (string): T... | LicensedUsage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LicensedUsage:
"""Implementation of the 'LicensedUsage' model. TODO: type description here. Attributes: capacity_gib (long|int): Feature usage by the cluster. expiry_time (long|int): Expiry time(epoch) of each feature. There could be multiple expiry time for the given SKU. feature_name (string): ... | stack_v2_sparse_classes_10k_train_003007 | 2,906 | permissive | [
{
"docstring": "Constructor for the LicensedUsage class",
"name": "__init__",
"signature": "def __init__(self, capacity_gib=None, expiry_time=None, feature_name=None, license_type=None, num_vm=None, product_description=None, product_info=None)"
},
{
"docstring": "Creates an instance of this mode... | 2 | stack_v2_sparse_classes_30k_train_000826 | Implement the Python class `LicensedUsage` described below.
Class description:
Implementation of the 'LicensedUsage' model. TODO: type description here. Attributes: capacity_gib (long|int): Feature usage by the cluster. expiry_time (long|int): Expiry time(epoch) of each feature. There could be multiple expiry time for... | Implement the Python class `LicensedUsage` described below.
Class description:
Implementation of the 'LicensedUsage' model. TODO: type description here. Attributes: capacity_gib (long|int): Feature usage by the cluster. expiry_time (long|int): Expiry time(epoch) of each feature. There could be multiple expiry time for... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class LicensedUsage:
"""Implementation of the 'LicensedUsage' model. TODO: type description here. Attributes: capacity_gib (long|int): Feature usage by the cluster. expiry_time (long|int): Expiry time(epoch) of each feature. There could be multiple expiry time for the given SKU. feature_name (string): ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LicensedUsage:
"""Implementation of the 'LicensedUsage' model. TODO: type description here. Attributes: capacity_gib (long|int): Feature usage by the cluster. expiry_time (long|int): Expiry time(epoch) of each feature. There could be multiple expiry time for the given SKU. feature_name (string): Name of featu... | the_stack_v2_python_sparse | cohesity_management_sdk/models/licensed_usage.py | cohesity/management-sdk-python | train | 24 |
e5c5e3f8175b285b3729e3fd770fef3b3d5c278d | [
"super(GitPush, self).__init__(path, ssh_key=ssh_key)\nself.path = path\nself.remote = remote\nself.src_branch = src_branch\nself.dest_branch = dest_branch\nself.debug = []\nos.chdir(path)",
"current_branch_results = self._get_current_branch()\nif current_branch_results['results'] == self.src_branch:\n return ... | <|body_start_0|>
super(GitPush, self).__init__(path, ssh_key=ssh_key)
self.path = path
self.remote = remote
self.src_branch = src_branch
self.dest_branch = dest_branch
self.debug = []
os.chdir(path)
<|end_body_0|>
<|body_start_1|>
current_branch_results =... | Class to wrap the git merge line tools | GitPush | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GitPush:
"""Class to wrap the git merge line tools"""
def __init__(self, path, remote, src_branch, dest_branch, ssh_key=None):
"""Constructor for GitPush"""
<|body_0|>
def checkout_branch(self):
"""check out the desired branch"""
<|body_1|>
def remot... | stack_v2_sparse_classes_10k_train_003008 | 2,595 | permissive | [
{
"docstring": "Constructor for GitPush",
"name": "__init__",
"signature": "def __init__(self, path, remote, src_branch, dest_branch, ssh_key=None)"
},
{
"docstring": "check out the desired branch",
"name": "checkout_branch",
"signature": "def checkout_branch(self)"
},
{
"docstri... | 5 | stack_v2_sparse_classes_30k_train_004541 | Implement the Python class `GitPush` described below.
Class description:
Class to wrap the git merge line tools
Method signatures and docstrings:
- def __init__(self, path, remote, src_branch, dest_branch, ssh_key=None): Constructor for GitPush
- def checkout_branch(self): check out the desired branch
- def remote_up... | Implement the Python class `GitPush` described below.
Class description:
Class to wrap the git merge line tools
Method signatures and docstrings:
- def __init__(self, path, remote, src_branch, dest_branch, ssh_key=None): Constructor for GitPush
- def checkout_branch(self): check out the desired branch
- def remote_up... | e342f6659a4ef1a188ff403e2fc6b06ac6d119c7 | <|skeleton|>
class GitPush:
"""Class to wrap the git merge line tools"""
def __init__(self, path, remote, src_branch, dest_branch, ssh_key=None):
"""Constructor for GitPush"""
<|body_0|>
def checkout_branch(self):
"""check out the desired branch"""
<|body_1|>
def remot... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GitPush:
"""Class to wrap the git merge line tools"""
def __init__(self, path, remote, src_branch, dest_branch, ssh_key=None):
"""Constructor for GitPush"""
super(GitPush, self).__init__(path, ssh_key=ssh_key)
self.path = path
self.remote = remote
self.src_branch =... | the_stack_v2_python_sparse | ansible/roles/lib_git/build/src/git_push.py | openshift/openshift-tools | train | 170 |
36fc53231495a15fdcc0b146b1c1c985bbb400f3 | [
"self.list_file = list_file\nself.paths_list = []\nself.paths = {}\nself.load()",
"with open(self.list_file) as f:\n lines = f.read().splitlines()\npath_index = [i for i, item in enumerate(lines) if 'path:' in item]\nsubmodel_name = ''\ncomponents = ''\nself.paths_list = []\nself.paths = {}\nfor i, p in enumer... | <|body_start_0|>
self.list_file = list_file
self.paths_list = []
self.paths = {}
self.load()
<|end_body_0|>
<|body_start_1|>
with open(self.list_file) as f:
lines = f.read().splitlines()
path_index = [i for i, item in enumerate(lines) if 'path:' in item]
... | Class representing an Easy5 schematic mapped out in desired order. | EZMAP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EZMAP:
"""Class representing an Easy5 schematic mapped out in desired order."""
def __init__(self, list_file):
"""Method to initialize object."""
<|body_0|>
def load(self):
"""Method to load the ezmap list file."""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_10k_train_003009 | 1,824 | no_license | [
{
"docstring": "Method to initialize object.",
"name": "__init__",
"signature": "def __init__(self, list_file)"
},
{
"docstring": "Method to load the ezmap list file.",
"name": "load",
"signature": "def load(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001488 | Implement the Python class `EZMAP` described below.
Class description:
Class representing an Easy5 schematic mapped out in desired order.
Method signatures and docstrings:
- def __init__(self, list_file): Method to initialize object.
- def load(self): Method to load the ezmap list file. | Implement the Python class `EZMAP` described below.
Class description:
Class representing an Easy5 schematic mapped out in desired order.
Method signatures and docstrings:
- def __init__(self, list_file): Method to initialize object.
- def load(self): Method to load the ezmap list file.
<|skeleton|>
class EZMAP:
... | 6b37842203ff4318a48dbf0258cbe2b253436e7d | <|skeleton|>
class EZMAP:
"""Class representing an Easy5 schematic mapped out in desired order."""
def __init__(self, list_file):
"""Method to initialize object."""
<|body_0|>
def load(self):
"""Method to load the ezmap list file."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EZMAP:
"""Class representing an Easy5 schematic mapped out in desired order."""
def __init__(self, list_file):
"""Method to initialize object."""
self.list_file = list_file
self.paths_list = []
self.paths = {}
self.load()
def load(self):
"""Method to l... | the_stack_v2_python_sparse | easy5/ezmap.py | tslowery78/PyLnD | train | 0 |
f32605b74df2add152512bfc2667d212b9a724d6 | [
"self.hass = hass\nself.config_entry = entry\nself.host: str = entry.data[CONF_HOST]\nself.api = api\nsuper().__init__(hass, _LOGGER, name=f'{DOMAIN} - {self.host}', update_interval=DEFAULT_SCAN_INTERVAL)",
"try:\n return await self.api.get_ha_sensor_data()\nexcept exceptions.GlancesApiError as err:\n raise... | <|body_start_0|>
self.hass = hass
self.config_entry = entry
self.host: str = entry.data[CONF_HOST]
self.api = api
super().__init__(hass, _LOGGER, name=f'{DOMAIN} - {self.host}', update_interval=DEFAULT_SCAN_INTERVAL)
<|end_body_0|>
<|body_start_1|>
try:
retur... | Get the latest data from Glances api. | GlancesDataUpdateCoordinator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GlancesDataUpdateCoordinator:
"""Get the latest data from Glances api."""
def __init__(self, hass: HomeAssistant, entry: ConfigEntry, api: Glances) -> None:
"""Initialize the Glances data."""
<|body_0|>
async def _async_update_data(self) -> dict[str, Any]:
"""Get... | stack_v2_sparse_classes_10k_train_003010 | 1,309 | permissive | [
{
"docstring": "Initialize the Glances data.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, entry: ConfigEntry, api: Glances) -> None"
},
{
"docstring": "Get the latest data from the Glances REST API.",
"name": "_async_update_data",
"signature": "async def _a... | 2 | null | Implement the Python class `GlancesDataUpdateCoordinator` described below.
Class description:
Get the latest data from Glances api.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, entry: ConfigEntry, api: Glances) -> None: Initialize the Glances data.
- async def _async_update_data(self) -... | Implement the Python class `GlancesDataUpdateCoordinator` described below.
Class description:
Get the latest data from Glances api.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, entry: ConfigEntry, api: Glances) -> None: Initialize the Glances data.
- async def _async_update_data(self) -... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class GlancesDataUpdateCoordinator:
"""Get the latest data from Glances api."""
def __init__(self, hass: HomeAssistant, entry: ConfigEntry, api: Glances) -> None:
"""Initialize the Glances data."""
<|body_0|>
async def _async_update_data(self) -> dict[str, Any]:
"""Get... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GlancesDataUpdateCoordinator:
"""Get the latest data from Glances api."""
def __init__(self, hass: HomeAssistant, entry: ConfigEntry, api: Glances) -> None:
"""Initialize the Glances data."""
self.hass = hass
self.config_entry = entry
self.host: str = entry.data[CONF_HOST]... | the_stack_v2_python_sparse | homeassistant/components/glances/coordinator.py | home-assistant/core | train | 35,501 |
5a1f619715fe8aa4dbed410b83d63e008bb246ad | [
"for i in range(n):\n nums1[m + i] = nums2[i]\nnums1.sort()",
"if n == 0:\n return None\nfor i in range(n):\n nums1[m + i] = nums2[i]\n for j in range(m + i, 0, -1):\n if nums1[j] < nums1[j - 1]:\n nums1[j], nums1[j - 1] = (nums1[j - 1], nums1[j])\n else:\n break"
] | <|body_start_0|>
for i in range(n):
nums1[m + i] = nums2[i]
nums1.sort()
<|end_body_0|>
<|body_start_1|>
if n == 0:
return None
for i in range(n):
nums1[m + i] = nums2[i]
for j in range(m + i, 0, -1):
if nums1[j] < nums1[j ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, modify nums1 in-place instead."""
<|body_0|>
def merge2(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""双指针（插入排序思想）。 首先选择 nums2 第 1... | stack_v2_sparse_classes_10k_train_003011 | 5,205 | no_license | [
{
"docstring": "Do not return anything, modify nums1 in-place instead.",
"name": "merge",
"signature": "def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None"
},
{
"docstring": "双指针（插入排序思想）。 首先选择 nums2 第 1 个元素，将其插入到 nums1 中正确的位置； 然后再从 nums2 选择第 2 位元素，沿着 nums1 中上次插入的位置，向右寻找合... | 2 | stack_v2_sparse_classes_30k_train_002518 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None: Do not return anything, modify nums1 in-place instead.
- def merge2(self, nums1: List[int], m: int, n... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None: Do not return anything, modify nums1 in-place instead.
- def merge2(self, nums1: List[int], m: int, n... | 6932d69353b94ec824dd0ddc86a92453f6673232 | <|skeleton|>
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, modify nums1 in-place instead."""
<|body_0|>
def merge2(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""双指针（插入排序思想）。 首先选择 nums2 第 1... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""Do not return anything, modify nums1 in-place instead."""
for i in range(n):
nums1[m + i] = nums2[i]
nums1.sort()
def merge2(self, nums1: List[int], m: int, nums2: List[int], n: i... | the_stack_v2_python_sparse | 0088_merge-sorted-array.py | Nigirimeshi/leetcode | train | 0 | |
9689eeca03569387815b68344597f6e1c00654f0 | [
"self.mtm = mtm\nself.rf = riskfreeRate\npReturns = AnnualReturn(self.mtm)\nself.portfolioReturn = pReturns.getValue()\nvolatility = Volatility(self.mtm.shift() / self.mtm - riskfreeRate)\nself.volatility = volatility.getValue()",
"improvement = (self.portfolioReturn - self.rf).fillna(0)\nvolatility = self.volati... | <|body_start_0|>
self.mtm = mtm
self.rf = riskfreeRate
pReturns = AnnualReturn(self.mtm)
self.portfolioReturn = pReturns.getValue()
volatility = Volatility(self.mtm.shift() / self.mtm - riskfreeRate)
self.volatility = volatility.getValue()
<|end_body_0|>
<|body_start_1|>... | Sharpe ratio of the data. | SharpeRatio | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SharpeRatio:
"""Sharpe ratio of the data."""
def __init__(self, mtm, riskfreeRate):
"""Initialize a sharpe ratio calculator. Parameters ---------- mtm : pandas.Series daily mark-to-market indexed by trading date as strings in the format %Y%m%d; riskfreeRate : float risk-free interest... | stack_v2_sparse_classes_10k_train_003012 | 10,010 | permissive | [
{
"docstring": "Initialize a sharpe ratio calculator. Parameters ---------- mtm : pandas.Series daily mark-to-market indexed by trading date as strings in the format %Y%m%d; riskfreeRate : float risk-free interest rate.",
"name": "__init__",
"signature": "def __init__(self, mtm, riskfreeRate)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_000682 | Implement the Python class `SharpeRatio` described below.
Class description:
Sharpe ratio of the data.
Method signatures and docstrings:
- def __init__(self, mtm, riskfreeRate): Initialize a sharpe ratio calculator. Parameters ---------- mtm : pandas.Series daily mark-to-market indexed by trading date as strings in t... | Implement the Python class `SharpeRatio` described below.
Class description:
Sharpe ratio of the data.
Method signatures and docstrings:
- def __init__(self, mtm, riskfreeRate): Initialize a sharpe ratio calculator. Parameters ---------- mtm : pandas.Series daily mark-to-market indexed by trading date as strings in t... | 139d604177da3855503643e0fcfa87711ba7e588 | <|skeleton|>
class SharpeRatio:
"""Sharpe ratio of the data."""
def __init__(self, mtm, riskfreeRate):
"""Initialize a sharpe ratio calculator. Parameters ---------- mtm : pandas.Series daily mark-to-market indexed by trading date as strings in the format %Y%m%d; riskfreeRate : float risk-free interest... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SharpeRatio:
"""Sharpe ratio of the data."""
def __init__(self, mtm, riskfreeRate):
"""Initialize a sharpe ratio calculator. Parameters ---------- mtm : pandas.Series daily mark-to-market indexed by trading date as strings in the format %Y%m%d; riskfreeRate : float risk-free interest rate."""
... | the_stack_v2_python_sparse | analytics/riskMeasurement/riskMetric.py | WinQuant/arsenal | train | 0 |
df292b649fb33d2812388ad9a3634022996c8cf6 | [
"try:\n validate_email(value)\n return True\nexcept ValidationError:\n return False",
"row_chunks = slice_iterable_into_chunks(rows, self.consent_page_size)\nfor chunk in row_chunks:\n '\\n Loop over the chunks and extract the email and item.\\n Save the item because the iterator... | <|body_start_0|>
try:
validate_email(value)
return True
except ValidationError:
return False
<|end_body_0|>
<|body_start_1|>
row_chunks = slice_iterable_into_chunks(rows, self.consent_page_size)
for chunk in row_chunks:
'\n Loop... | Company search export view. | SearchContactExportAPIView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SearchContactExportAPIView:
"""Company search export view."""
def _is_valid_email(self, value):
"""Validate if emails are valid and return a boolean flag."""
<|body_0|>
def _add_consent_response(self, rows):
"""Transforms iterable to add user consent from the con... | stack_v2_sparse_classes_10k_train_003013 | 6,797 | permissive | [
{
"docstring": "Validate if emails are valid and return a boolean flag.",
"name": "_is_valid_email",
"signature": "def _is_valid_email(self, value)"
},
{
"docstring": "Transforms iterable to add user consent from the consent service. The consent lookup makes an external API call to return consen... | 3 | stack_v2_sparse_classes_30k_train_001390 | Implement the Python class `SearchContactExportAPIView` described below.
Class description:
Company search export view.
Method signatures and docstrings:
- def _is_valid_email(self, value): Validate if emails are valid and return a boolean flag.
- def _add_consent_response(self, rows): Transforms iterable to add user... | Implement the Python class `SearchContactExportAPIView` described below.
Class description:
Company search export view.
Method signatures and docstrings:
- def _is_valid_email(self, value): Validate if emails are valid and return a boolean flag.
- def _add_consent_response(self, rows): Transforms iterable to add user... | a92faabf73fb93b5bfd94fd465eafc3e29aa6d8e | <|skeleton|>
class SearchContactExportAPIView:
"""Company search export view."""
def _is_valid_email(self, value):
"""Validate if emails are valid and return a boolean flag."""
<|body_0|>
def _add_consent_response(self, rows):
"""Transforms iterable to add user consent from the con... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SearchContactExportAPIView:
"""Company search export view."""
def _is_valid_email(self, value):
"""Validate if emails are valid and return a boolean flag."""
try:
validate_email(value)
return True
except ValidationError:
return False
def _a... | the_stack_v2_python_sparse | datahub/search/contact/views.py | cgsunkel/data-hub-api | train | 0 |
41b1620c3c9de9a2de26b7ff9e7a41a6f47ab0ba | [
"self.files_and_folders_info = files_and_folders_info\nself.name = name\nself.source_object_info = source_object_info",
"if dictionary is None:\n return None\nfiles_and_folders_info = None\nif dictionary.get('filesAndFoldersInfo') != None:\n files_and_folders_info = list()\n for structure in dictionary.g... | <|body_start_0|>
self.files_and_folders_info = files_and_folders_info
self.name = name
self.source_object_info = source_object_info
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
files_and_folders_info = None
if dictionary.get('filesAndFol... | Implementation of the 'DownloadFilesAndFoldersParams' model. DownloadFilesAndFoldersParams holds the information to create a task for downloading list of files or folders Attributes: files_and_folders_info (list of FilesAndFoldersInfo): Specifies the absolute paths for list of files and folders to download. name (strin... | DownloadFilesAndFoldersParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownloadFilesAndFoldersParams:
"""Implementation of the 'DownloadFilesAndFoldersParams' model. DownloadFilesAndFoldersParams holds the information to create a task for downloading list of files or folders Attributes: files_and_folders_info (list of FilesAndFoldersInfo): Specifies the absolute pat... | stack_v2_sparse_classes_10k_train_003014 | 2,863 | permissive | [
{
"docstring": "Constructor for the DownloadFilesAndFoldersParams class",
"name": "__init__",
"signature": "def __init__(self, files_and_folders_info=None, name=None, source_object_info=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A... | 2 | null | Implement the Python class `DownloadFilesAndFoldersParams` described below.
Class description:
Implementation of the 'DownloadFilesAndFoldersParams' model. DownloadFilesAndFoldersParams holds the information to create a task for downloading list of files or folders Attributes: files_and_folders_info (list of FilesAndF... | Implement the Python class `DownloadFilesAndFoldersParams` described below.
Class description:
Implementation of the 'DownloadFilesAndFoldersParams' model. DownloadFilesAndFoldersParams holds the information to create a task for downloading list of files or folders Attributes: files_and_folders_info (list of FilesAndF... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class DownloadFilesAndFoldersParams:
"""Implementation of the 'DownloadFilesAndFoldersParams' model. DownloadFilesAndFoldersParams holds the information to create a task for downloading list of files or folders Attributes: files_and_folders_info (list of FilesAndFoldersInfo): Specifies the absolute pat... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DownloadFilesAndFoldersParams:
"""Implementation of the 'DownloadFilesAndFoldersParams' model. DownloadFilesAndFoldersParams holds the information to create a task for downloading list of files or folders Attributes: files_and_folders_info (list of FilesAndFoldersInfo): Specifies the absolute paths for list o... | the_stack_v2_python_sparse | cohesity_management_sdk/models/download_files_and_folders_params.py | cohesity/management-sdk-python | train | 24 |
e654c31a5d0f0947ddfbd53ec68de3df613fa569 | [
"self.min_alias_length: Optional[int]\nself.max_alias_length: Optional[int]\nassert context.segment.is_type('select_statement')\nchildren = FunctionalContext(context).segment.children()\nfrom_expression_elements = children.recursive_crawl('from_expression_element')\nreturn self._lint_aliases(from_expression_element... | <|body_start_0|>
self.min_alias_length: Optional[int]
self.max_alias_length: Optional[int]
assert context.segment.is_type('select_statement')
children = FunctionalContext(context).segment.children()
from_expression_elements = children.recursive_crawl('from_expression_element')
... | Enforce table alias lengths in from clauses and join conditions. **Anti-pattern** In this example, alias ``o`` is used for the orders table. .. code-block:: sql SELECT SUM(o.amount) as order_amount, FROM orders as o **Best practice** Avoid aliases. Avoid short aliases when aliases are necessary. See also: :class:`Rule_... | Rule_AL06 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rule_AL06:
"""Enforce table alias lengths in from clauses and join conditions. **Anti-pattern** In this example, alias ``o`` is used for the orders table. .. code-block:: sql SELECT SUM(o.amount) as order_amount, FROM orders as o **Best practice** Avoid aliases. Avoid short aliases when aliases a... | stack_v2_sparse_classes_10k_train_003015 | 4,131 | permissive | [
{
"docstring": "Identify aliases in from clause and join conditions. Find base table, table expressions in join, and other expressions in select clause and decide if it's needed to report them.",
"name": "_eval",
"signature": "def _eval(self, context: RuleContext) -> Optional[List[LintResult]]"
},
{... | 2 | stack_v2_sparse_classes_30k_train_007321 | Implement the Python class `Rule_AL06` described below.
Class description:
Enforce table alias lengths in from clauses and join conditions. **Anti-pattern** In this example, alias ``o`` is used for the orders table. .. code-block:: sql SELECT SUM(o.amount) as order_amount, FROM orders as o **Best practice** Avoid alia... | Implement the Python class `Rule_AL06` described below.
Class description:
Enforce table alias lengths in from clauses and join conditions. **Anti-pattern** In this example, alias ``o`` is used for the orders table. .. code-block:: sql SELECT SUM(o.amount) as order_amount, FROM orders as o **Best practice** Avoid alia... | a66da908907ee1eaf09d88a731025da29e7fca07 | <|skeleton|>
class Rule_AL06:
"""Enforce table alias lengths in from clauses and join conditions. **Anti-pattern** In this example, alias ``o`` is used for the orders table. .. code-block:: sql SELECT SUM(o.amount) as order_amount, FROM orders as o **Best practice** Avoid aliases. Avoid short aliases when aliases a... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Rule_AL06:
"""Enforce table alias lengths in from clauses and join conditions. **Anti-pattern** In this example, alias ``o`` is used for the orders table. .. code-block:: sql SELECT SUM(o.amount) as order_amount, FROM orders as o **Best practice** Avoid aliases. Avoid short aliases when aliases are necessary.... | the_stack_v2_python_sparse | src/sqlfluff/rules/aliasing/AL06.py | sqlfluff/sqlfluff | train | 5,931 |
d6f06dfa0aaf9a05a28434ec6d1be871c6690a2a | [
"if sport not in self.sports.keys():\n err_msg = 'update sports.game_status.GameStatus for sport: %s' % sport\n raise self.InvalidSportException(err_msg)\nself.status_map = self.sports.get(sport)",
"if status not in self.status_map.keys():\n err_msg = '%s does not exist and therefore cant have a primary ... | <|body_start_0|>
if sport not in self.sports.keys():
err_msg = 'update sports.game_status.GameStatus for sport: %s' % sport
raise self.InvalidSportException(err_msg)
self.status_map = self.sports.get(sport)
<|end_body_0|>
<|body_start_1|>
if status not in self.status_map... | for discrepencies with the values returned by this class, please refer to the source extended documentation found on the SportRadar website: https://developer.sportradar.us/ this object is in charge of making sense of granular boxscore game statuses. given an MLB boxscore game status like 'odelay', the method get_prima... | GameStatus | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameStatus:
"""for discrepencies with the values returned by this class, please refer to the source extended documentation found on the SportRadar website: https://developer.sportradar.us/ this object is in charge of making sense of granular boxscore game statuses. given an MLB boxscore game stat... | stack_v2_sparse_classes_10k_train_003016 | 6,302 | no_license | [
{
"docstring": ":param sport: string name of the sport you want to use the GameStatus object for. :raise InvalidSportException: if the 'sport' arg not found among top-level keys in the status map",
"name": "__init__",
"signature": "def __init__(self, sport)"
},
{
"docstring": "given a granular b... | 2 | null | Implement the Python class `GameStatus` described below.
Class description:
for discrepencies with the values returned by this class, please refer to the source extended documentation found on the SportRadar website: https://developer.sportradar.us/ this object is in charge of making sense of granular boxscore game st... | Implement the Python class `GameStatus` described below.
Class description:
for discrepencies with the values returned by this class, please refer to the source extended documentation found on the SportRadar website: https://developer.sportradar.us/ this object is in charge of making sense of granular boxscore game st... | 4796fa9d88b56f80def011e2b043ce595bfce8c4 | <|skeleton|>
class GameStatus:
"""for discrepencies with the values returned by this class, please refer to the source extended documentation found on the SportRadar website: https://developer.sportradar.us/ this object is in charge of making sense of granular boxscore game statuses. given an MLB boxscore game stat... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GameStatus:
"""for discrepencies with the values returned by this class, please refer to the source extended documentation found on the SportRadar website: https://developer.sportradar.us/ this object is in charge of making sense of granular boxscore game statuses. given an MLB boxscore game status like 'odel... | the_stack_v2_python_sparse | sports/game_status.py | nakamotohideyoshi/draftboard-web | train | 0 |
13faae550a4f408fcabffbe45a858c3803a2f863 | [
"title = request.POST['title']\nnew_properties = json.loads(request.POST.get('newProperties', '[]'))\ntemplate = mall_models.ProductPropertyTemplate.objects.create(owner=request.manager, name=title)\nfor property in new_properties:\n if property['id'] < 0:\n mall_models.TemplateProperty.objects.create(own... | <|body_start_0|>
title = request.POST['title']
new_properties = json.loads(request.POST.get('newProperties', '[]'))
template = mall_models.ProductPropertyTemplate.objects.create(owner=request.manager, name=title)
for property in new_properties:
if property['id'] < 0:
... | Property | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Property:
def api_put(request):
"""创建属性模板 Args: title: 属性模板标题 newProperties 属性模板中需要新建的property信息的json字符串 Example: { 'title': 'aaa', 'newProperties':[ { id: -1, //id=-1, 代表需要新建的属性 name: "属性1", value: "属性1的描述" }, ... ] }"""
<|body_0|>
def api_post(request):
"""更新属性模板 A... | stack_v2_sparse_classes_10k_train_003017 | 5,912 | no_license | [
{
"docstring": "创建属性模板 Args: title: 属性模板标题 newProperties 属性模板中需要新建的property信息的json字符串 Example: { 'title': 'aaa', 'newProperties':[ { id: -1, //id=-1, 代表需要新建的属性 name: \"属性1\", value: \"属性1的描述\" }, ... ] }",
"name": "api_put",
"signature": "def api_put(request)"
},
{
"docstring": "更新属性模板 Args: id:... | 3 | stack_v2_sparse_classes_30k_train_004158 | Implement the Python class `Property` described below.
Class description:
Implement the Property class.
Method signatures and docstrings:
- def api_put(request): 创建属性模板 Args: title: 属性模板标题 newProperties 属性模板中需要新建的property信息的json字符串 Example: { 'title': 'aaa', 'newProperties':[ { id: -1, //id=-1, 代表需要新建的属性 name: "属性1",... | Implement the Python class `Property` described below.
Class description:
Implement the Property class.
Method signatures and docstrings:
- def api_put(request): 创建属性模板 Args: title: 属性模板标题 newProperties 属性模板中需要新建的property信息的json字符串 Example: { 'title': 'aaa', 'newProperties':[ { id: -1, //id=-1, 代表需要新建的属性 name: "属性1",... | 8b2f7befe92841bcc35e0e60cac5958ef3f3af54 | <|skeleton|>
class Property:
def api_put(request):
"""创建属性模板 Args: title: 属性模板标题 newProperties 属性模板中需要新建的property信息的json字符串 Example: { 'title': 'aaa', 'newProperties':[ { id: -1, //id=-1, 代表需要新建的属性 name: "属性1", value: "属性1的描述" }, ... ] }"""
<|body_0|>
def api_post(request):
"""更新属性模板 A... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Property:
def api_put(request):
"""创建属性模板 Args: title: 属性模板标题 newProperties 属性模板中需要新建的property信息的json字符串 Example: { 'title': 'aaa', 'newProperties':[ { id: -1, //id=-1, 代表需要新建的属性 name: "属性1", value: "属性1的描述" }, ... ] }"""
title = request.POST['title']
new_properties = json.loads(reques... | the_stack_v2_python_sparse | weapp/mall/product/properties.py | chengdg/weizoom | train | 1 | |
4509f180ef7bf4824c3b1b75f3778c87553dce86 | [
"super(AdaptiveLossFunction, self).__init__(name=name)\n_check_scale(scale_lo, scale_init)\nif not np.isscalar(alpha_lo):\n raise ValueError('`alpha_lo` must be a scalar, but is of type {}'.format(type(alpha_lo)))\nif not np.isscalar(alpha_hi):\n raise ValueError('`alpha_hi` must be a scalar, but is of type {... | <|body_start_0|>
super(AdaptiveLossFunction, self).__init__(name=name)
_check_scale(scale_lo, scale_init)
if not np.isscalar(alpha_lo):
raise ValueError('`alpha_lo` must be a scalar, but is of type {}'.format(type(alpha_lo)))
if not np.isscalar(alpha_hi):
raise Va... | Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. This loss only allows for rank-2 inputs, and expec... | AdaptiveLossFunction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdaptiveLossFunction:
"""Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. Th... | stack_v2_sparse_classes_10k_train_003018 | 23,679 | permissive | [
{
"docstring": "Constructs the loss function. Args: num_channels: the number of different \"channels\" for the adaptive loss function, where each channel will be assigned its own shape (alpha) and scale parameters that are constructed as variables and can be optimized over. float_dtype: The expected numerical p... | 4 | null | Implement the Python class `AdaptiveLossFunction` described below.
Class description:
Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, a... | Implement the Python class `AdaptiveLossFunction` described below.
Class description:
Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, a... | 727ec399ad17b4dd1f71ce69a26fc3b0371d9fa7 | <|skeleton|>
class AdaptiveLossFunction:
"""Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. Th... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AdaptiveLossFunction:
"""Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. This loss only ... | the_stack_v2_python_sparse | robust_loss/adaptive.py | Ayoob7/google-research | train | 2 |
7e167a83a753673e77c7d125af15ea7570ac3edb | [
"if not is_exe(exe_path):\n msg = '{0} is not an executable'.format(exe_path)\n raise NotExecutableError(msg)\nself._exe_path = exe_path",
"self.__build_cmd(infname)\npipe = subprocess.run(self._cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True)\nresults = Results(self._cmd, self._... | <|body_start_0|>
if not is_exe(exe_path):
msg = '{0} is not an executable'.format(exe_path)
raise NotExecutableError(msg)
self._exe_path = exe_path
<|end_body_0|>
<|body_start_1|>
self.__build_cmd(infname)
pipe = subprocess.run(self._cmd, shell=True, stdout=subpr... | Class for working with Samtools_index | Samtools_Index | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Samtools_Index:
"""Class for working with Samtools_index"""
def __init__(self, exe_path):
"""Instantiate with location of executable"""
<|body_0|>
def run(self, infname):
"""Run Samtools_index on the passed file"""
<|body_1|>
def __build_cmd(self, in... | stack_v2_sparse_classes_10k_train_003019 | 1,843 | permissive | [
{
"docstring": "Instantiate with location of executable",
"name": "__init__",
"signature": "def __init__(self, exe_path)"
},
{
"docstring": "Run Samtools_index on the passed file",
"name": "run",
"signature": "def run(self, infname)"
},
{
"docstring": "Build a command-line for Sa... | 3 | stack_v2_sparse_classes_30k_train_002765 | Implement the Python class `Samtools_Index` described below.
Class description:
Class for working with Samtools_index
Method signatures and docstrings:
- def __init__(self, exe_path): Instantiate with location of executable
- def run(self, infname): Run Samtools_index on the passed file
- def __build_cmd(self, infnam... | Implement the Python class `Samtools_Index` described below.
Class description:
Class for working with Samtools_index
Method signatures and docstrings:
- def __init__(self, exe_path): Instantiate with location of executable
- def run(self, infname): Run Samtools_index on the passed file
- def __build_cmd(self, infnam... | a3c64198aad3709a5c4d969f48ae0af11fdc25db | <|skeleton|>
class Samtools_Index:
"""Class for working with Samtools_index"""
def __init__(self, exe_path):
"""Instantiate with location of executable"""
<|body_0|>
def run(self, infname):
"""Run Samtools_index on the passed file"""
<|body_1|>
def __build_cmd(self, in... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Samtools_Index:
"""Class for working with Samtools_index"""
def __init__(self, exe_path):
"""Instantiate with location of executable"""
if not is_exe(exe_path):
msg = '{0} is not an executable'.format(exe_path)
raise NotExecutableError(msg)
self._exe_path =... | the_stack_v2_python_sparse | metapy/pycits/samtools_index.py | peterthorpe5/public_scripts | train | 35 |
3632abcc7439085ef88503d6add1e4a6ed58b512 | [
"self.n = 0\nself.snapshotnr = -np.ones(nelements, dtype=np.int)\nself.redshift = -np.ones(nelements, dtype=np.float)\nself.clumpids = -np.ones(nelements, dtype=np.int)\nself.mass = np.zeros(nelements, dtype=np.float)\nself.mergermass = np.zeros(nelements, dtype=np.float)\nself.mass_to_remove = np.zeros(nelements, ... | <|body_start_0|>
self.n = 0
self.snapshotnr = -np.ones(nelements, dtype=np.int)
self.redshift = -np.ones(nelements, dtype=np.float)
self.clumpids = -np.ones(nelements, dtype=np.int)
self.mass = np.zeros(nelements, dtype=np.float)
self.mergermass = np.zeros(nelements, dtyp... | Holds tree result data. It's not really a tree, it's just the values along the main branch, but let's call it a tree anyway. Sue me. | tree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class tree:
"""Holds tree result data. It's not really a tree, it's just the values along the main branch, but let's call it a tree anyway. Sue me."""
def __init__(self, nelements):
"""nelements: extimate for how many snapshots you need to allocate space for"""
<|body_0|>
def ... | stack_v2_sparse_classes_10k_train_003020 | 36,252 | no_license | [
{
"docstring": "nelements: extimate for how many snapshots you need to allocate space for",
"name": "__init__",
"signature": "def __init__(self, nelements)"
},
{
"docstring": "Add new result.",
"name": "add_snap",
"signature": "def add_snap(self, nr, z, ID, m, mm, mdel)"
},
{
"do... | 3 | stack_v2_sparse_classes_30k_train_007131 | Implement the Python class `tree` described below.
Class description:
Holds tree result data. It's not really a tree, it's just the values along the main branch, but let's call it a tree anyway. Sue me.
Method signatures and docstrings:
- def __init__(self, nelements): nelements: extimate for how many snapshots you n... | Implement the Python class `tree` described below.
Class description:
Holds tree result data. It's not really a tree, it's just the values along the main branch, but let's call it a tree anyway. Sue me.
Method signatures and docstrings:
- def __init__(self, nelements): nelements: extimate for how many snapshots you n... | f1bd65ef106dbf5e4cefefd7d386643a6fc0ac52 | <|skeleton|>
class tree:
"""Holds tree result data. It's not really a tree, it's just the values along the main branch, but let's call it a tree anyway. Sue me."""
def __init__(self, nelements):
"""nelements: extimate for how many snapshots you need to allocate space for"""
<|body_0|>
def ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class tree:
"""Holds tree result data. It's not really a tree, it's just the values along the main branch, but let's call it a tree anyway. Sue me."""
def __init__(self, nelements):
"""nelements: extimate for how many snapshots you need to allocate space for"""
self.n = 0
self.snapshotn... | the_stack_v2_python_sparse | utils/py/mergertree-extract.py | ALaDyn/ramses | train | 6 |
01adba14499d24e53c38eef3f27e9fe5ad9ac5f5 | [
"self.k = k\nself.queue = nums\nheapq.heapify(self.queue)",
"heapq.heappush(self.queue, val)\nwhile len(self.queue) > self.k:\n heapq.heappop(self.queue)\nreturn self.queue[0]"
] | <|body_start_0|>
self.k = k
self.queue = nums
heapq.heapify(self.queue)
<|end_body_0|>
<|body_start_1|>
heapq.heappush(self.queue, val)
while len(self.queue) > self.k:
heapq.heappop(self.queue)
return self.queue[0]
<|end_body_1|>
| KthLargest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.k = k
self.queue = nums
heapq.heapify... | stack_v2_sparse_classes_10k_train_003021 | 648 | no_license | [
{
"docstring": ":type k: int :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, k, nums)"
},
{
"docstring": ":type val: int :rtype: int",
"name": "add",
"signature": "def add(self, val)"
}
] | 2 | null | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int
<|skeleton|>
class KthLargest:
def __init__(self, k, nu... | 82ece6ed353235dcd36face80f5d87df12d56a2c | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.k = k
self.queue = nums
heapq.heapify(self.queue)
def add(self, val):
""":type val: int :rtype: int"""
heapq.heappush(self.queue, val)
while len(self.queue) > sel... | the_stack_v2_python_sparse | 排序/703. 数据流中的第 K 大元素.py | pulinghao/LeetCode_Python | train | 2 | |
0b69e1c98d2ab57b44a3c5e019f41c3f7aebba3f | [
"super().__init__()\nself.mem_length = 1\nself.grudged = False\nself.grudge_memory = 1",
"if self.grudge_memory >= self.mem_length:\n self.grudge_memory = 0\n self.grudged = False\nif self.grudged:\n self.grudge_memory += 1\n return D\nelif D in opponent.history[-1:]:\n self.mem_length = opponent.d... | <|body_start_0|>
super().__init__()
self.mem_length = 1
self.grudged = False
self.grudge_memory = 1
<|end_body_0|>
<|body_start_1|>
if self.grudge_memory >= self.mem_length:
self.grudge_memory = 0
self.grudged = False
if self.grudged:
... | A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played D, punishing that player for playing D too often. Names: - Punisher: Original name by Geraint Palmer | Punisher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Punisher:
"""A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played D, punishing that player for playing D too often. Names: - Punisher: ... | stack_v2_sparse_classes_10k_train_003022 | 5,234 | permissive | [
{
"docstring": "Initialised the player",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Begins by playing C, then plays D for an amount of rounds proportional to the opponents historical '%' of playing D if the opponent ever plays D",
"name": "strategy",
... | 2 | stack_v2_sparse_classes_30k_train_002000 | Implement the Python class `Punisher` described below.
Class description:
A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played D, punishing that player for p... | Implement the Python class `Punisher` described below.
Class description:
A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played D, punishing that player for p... | fa748627cd4f0333bb2dbfcb1454372a78a9098a | <|skeleton|>
class Punisher:
"""A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played D, punishing that player for playing D too often. Names: - Punisher: ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Punisher:
"""A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played D, punishing that player for playing D too often. Names: - Punisher: Original name... | the_stack_v2_python_sparse | axelrod/strategies/punisher.py | Axelrod-Python/Axelrod | train | 673 |
4e839ba3808743ba8c8785079521bbfa02a0e34f | [
"data = JSONParser().parse(request)['detailed_requirements']\ndetailed_requirements = DetailedRequirement.objects.filter(id__in=[d['id'] for d in data])\nserializer = DetailedRequirementSerializer(detailed_requirements, many=True)\nreturn JsonResponse({'detailed_requirements': serializer.data}, safe=False)",
"res... | <|body_start_0|>
data = JSONParser().parse(request)['detailed_requirements']
detailed_requirements = DetailedRequirement.objects.filter(id__in=[d['id'] for d in data])
serializer = DetailedRequirementSerializer(detailed_requirements, many=True)
return JsonResponse({'detailed_requirements... | 指标点view | DetailedRequirements | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DetailedRequirements:
"""指标点view"""
def get(self, request):
"""查询指标点"""
<|body_0|>
def put(self, request):
"""修改指标点"""
<|body_1|>
def post(self, request):
"""增加指标点"""
<|body_2|>
def delete(self, request):
"""删除指标点"""
... | stack_v2_sparse_classes_10k_train_003023 | 15,061 | permissive | [
{
"docstring": "查询指标点",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "修改指标点",
"name": "put",
"signature": "def put(self, request)"
},
{
"docstring": "增加指标点",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "删除指标点"... | 4 | stack_v2_sparse_classes_30k_train_004858 | Implement the Python class `DetailedRequirements` described below.
Class description:
指标点view
Method signatures and docstrings:
- def get(self, request): 查询指标点
- def put(self, request): 修改指标点
- def post(self, request): 增加指标点
- def delete(self, request): 删除指标点 | Implement the Python class `DetailedRequirements` described below.
Class description:
指标点view
Method signatures and docstrings:
- def get(self, request): 查询指标点
- def put(self, request): 修改指标点
- def post(self, request): 增加指标点
- def delete(self, request): 删除指标点
<|skeleton|>
class DetailedRequirements:
"""指标点view""... | 7aaa1be773718de1beb3ce0080edca7c4114b7ad | <|skeleton|>
class DetailedRequirements:
"""指标点view"""
def get(self, request):
"""查询指标点"""
<|body_0|>
def put(self, request):
"""修改指标点"""
<|body_1|>
def post(self, request):
"""增加指标点"""
<|body_2|>
def delete(self, request):
"""删除指标点"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DetailedRequirements:
"""指标点view"""
def get(self, request):
"""查询指标点"""
data = JSONParser().parse(request)['detailed_requirements']
detailed_requirements = DetailedRequirement.objects.filter(id__in=[d['id'] for d in data])
serializer = DetailedRequirementSerializer(detaile... | the_stack_v2_python_sparse | plan/views.py | MIXISAMA/MIS-backend | train | 0 |
7660bc1ded61b97d305e35ac17ce9bcf33faf71c | [
"self.handler = handler\nself.db = DB(handler.application)\npass",
"for item in res:\n item['img_url'] = self.db.get_article_img_list(item['id'], num)\nreturn res",
"if isinstance(db_res, list):\n for i in xrange(0, len(db_res)):\n db_res[i] = self.filter_db_res(db_res[i])\nelif isinstance(db_res, ... | <|body_start_0|>
self.handler = handler
self.db = DB(handler.application)
pass
<|end_body_0|>
<|body_start_1|>
for item in res:
item['img_url'] = self.db.get_article_img_list(item['id'], num)
return res
<|end_body_1|>
<|body_start_2|>
if isinstance(db_res, l... | Base class for all account process modules 初始化数据库，缓存，短信服务 | Processor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Processor:
"""Base class for all account process modules 初始化数据库，缓存，短信服务"""
def __init__(self, handler):
"""Constructor"""
<|body_0|>
def add_img(self, res, num=0):
"""Add img_url to solr result"""
<|body_1|>
def filter_db_res(self, db_res):
"... | stack_v2_sparse_classes_10k_train_003024 | 1,612 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, handler)"
},
{
"docstring": "Add img_url to solr result",
"name": "add_img",
"signature": "def add_img(self, res, num=0)"
},
{
"docstring": "判断是否是list，分解为dict， 将dict中不能变为json的部分过滤或做处理",
"name":... | 3 | stack_v2_sparse_classes_30k_train_002345 | Implement the Python class `Processor` described below.
Class description:
Base class for all account process modules 初始化数据库，缓存，短信服务
Method signatures and docstrings:
- def __init__(self, handler): Constructor
- def add_img(self, res, num=0): Add img_url to solr result
- def filter_db_res(self, db_res): 判断是否是list，分解为... | Implement the Python class `Processor` described below.
Class description:
Base class for all account process modules 初始化数据库，缓存，短信服务
Method signatures and docstrings:
- def __init__(self, handler): Constructor
- def add_img(self, res, num=0): Add img_url to solr result
- def filter_db_res(self, db_res): 判断是否是list，分解为... | 62d5d8201d4b19d55f7ba0c33f9a91badacc7fbe | <|skeleton|>
class Processor:
"""Base class for all account process modules 初始化数据库，缓存，短信服务"""
def __init__(self, handler):
"""Constructor"""
<|body_0|>
def add_img(self, res, num=0):
"""Add img_url to solr result"""
<|body_1|>
def filter_db_res(self, db_res):
"... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Processor:
"""Base class for all account process modules 初始化数据库，缓存，短信服务"""
def __init__(self, handler):
"""Constructor"""
self.handler = handler
self.db = DB(handler.application)
pass
def add_img(self, res, num=0):
"""Add img_url to solr result"""
for ... | the_stack_v2_python_sparse | module/base_processor.py | giphub/gip | train | 1 |
529abcb1262ec20cdf3047bc678ff7e13774d26c | [
"want_dynamic_group = self.is_audio_group\nhave_dynamic_group = self.is_dynamic_group is not None\nhave_all_except_dynamic_group = all(attr.astuple(self, filter=attr.filters.exclude(attr.fields(ChromecastInfo).is_dynamic_group)))\nreturn have_all_except_dynamic_group and (not want_dynamic_group or have_dynamic_grou... | <|body_start_0|>
want_dynamic_group = self.is_audio_group
have_dynamic_group = self.is_dynamic_group is not None
have_all_except_dynamic_group = all(attr.astuple(self, filter=attr.filters.exclude(attr.fields(ChromecastInfo).is_dynamic_group)))
return have_all_except_dynamic_group and (no... | Class to hold all data about a chromecast for creating connections. This also has the same attributes as the mDNS fields by zeroconf. | ChromecastInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChromecastInfo:
"""Class to hold all data about a chromecast for creating connections. This also has the same attributes as the mDNS fields by zeroconf."""
def is_information_complete(self) -> bool:
"""Return if all information is filled out."""
<|body_0|>
def manufactur... | stack_v2_sparse_classes_10k_train_003025 | 6,736 | permissive | [
{
"docstring": "Return if all information is filled out.",
"name": "is_information_complete",
"signature": "def is_information_complete(self) -> bool"
},
{
"docstring": "Return the manufacturer.",
"name": "manufacturer",
"signature": "def manufacturer(self) -> str | None"
},
{
"d... | 3 | null | Implement the Python class `ChromecastInfo` described below.
Class description:
Class to hold all data about a chromecast for creating connections. This also has the same attributes as the mDNS fields by zeroconf.
Method signatures and docstrings:
- def is_information_complete(self) -> bool: Return if all information... | Implement the Python class `ChromecastInfo` described below.
Class description:
Class to hold all data about a chromecast for creating connections. This also has the same attributes as the mDNS fields by zeroconf.
Method signatures and docstrings:
- def is_information_complete(self) -> bool: Return if all information... | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | <|skeleton|>
class ChromecastInfo:
"""Class to hold all data about a chromecast for creating connections. This also has the same attributes as the mDNS fields by zeroconf."""
def is_information_complete(self) -> bool:
"""Return if all information is filled out."""
<|body_0|>
def manufactur... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ChromecastInfo:
"""Class to hold all data about a chromecast for creating connections. This also has the same attributes as the mDNS fields by zeroconf."""
def is_information_complete(self) -> bool:
"""Return if all information is filled out."""
want_dynamic_group = self.is_audio_group
... | the_stack_v2_python_sparse | homeassistant/components/cast/helpers.py | BenWoodford/home-assistant | train | 11 |
dc453d1892cdb5a0459c1274388b9bdb5820eb02 | [
"super(GGCNN, self).__init__()\nself.conv1 = Conv2D(input_channels, filter_sizes[0], kernel_sizes[0], stride=strides[0], padding=3, act='relu', param_attr=fluid.initializer.Xavier(uniform=False))\nself.conv2 = Conv2D(filter_sizes[0], filter_sizes[1], kernel_sizes[1], stride=strides[1], padding=2, act='relu', param_... | <|body_start_0|>
super(GGCNN, self).__init__()
self.conv1 = Conv2D(input_channels, filter_sizes[0], kernel_sizes[0], stride=strides[0], padding=3, act='relu', param_attr=fluid.initializer.Xavier(uniform=False))
self.conv2 = Conv2D(filter_sizes[0], filter_sizes[1], kernel_sizes[1], stride=strides... | GGCNN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GGCNN:
def __init__(self, input_channels=1):
""":功能 :类初始化函数 :参数 input_channels :int,输入数据的通道数，1或3或4 :返回 :None"""
<|body_0|>
def forward(self, x):
""":功能 :前向传播函数 :参数 x :tensors,一次网络输入 :返回 :tensors，各参数的预测结果"""
<|body_1|>
def compute_loss(self, xc, yc):
... | stack_v2_sparse_classes_10k_train_003026 | 4,477 | no_license | [
{
"docstring": ":功能 :类初始化函数 :参数 input_channels :int,输入数据的通道数，1或3或4 :返回 :None",
"name": "__init__",
"signature": "def __init__(self, input_channels=1)"
},
{
"docstring": ":功能 :前向传播函数 :参数 x :tensors,一次网络输入 :返回 :tensors，各参数的预测结果",
"name": "forward",
"signature": "def forward(self, x)"
},
... | 3 | stack_v2_sparse_classes_30k_train_001598 | Implement the Python class `GGCNN` described below.
Class description:
Implement the GGCNN class.
Method signatures and docstrings:
- def __init__(self, input_channels=1): :功能 :类初始化函数 :参数 input_channels :int,输入数据的通道数，1或3或4 :返回 :None
- def forward(self, x): :功能 :前向传播函数 :参数 x :tensors,一次网络输入 :返回 :tensors，各参数的预测结果
- def... | Implement the Python class `GGCNN` described below.
Class description:
Implement the GGCNN class.
Method signatures and docstrings:
- def __init__(self, input_channels=1): :功能 :类初始化函数 :参数 input_channels :int,输入数据的通道数，1或3或4 :返回 :None
- def forward(self, x): :功能 :前向传播函数 :参数 x :tensors,一次网络输入 :返回 :tensors，各参数的预测结果
- def... | d0b7b14fa8b76ba95118c8b1af53fbd627860c00 | <|skeleton|>
class GGCNN:
def __init__(self, input_channels=1):
""":功能 :类初始化函数 :参数 input_channels :int,输入数据的通道数，1或3或4 :返回 :None"""
<|body_0|>
def forward(self, x):
""":功能 :前向传播函数 :参数 x :tensors,一次网络输入 :返回 :tensors，各参数的预测结果"""
<|body_1|>
def compute_loss(self, xc, yc):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GGCNN:
def __init__(self, input_channels=1):
""":功能 :类初始化函数 :参数 input_channels :int,输入数据的通道数，1或3或4 :返回 :None"""
super(GGCNN, self).__init__()
self.conv1 = Conv2D(input_channels, filter_sizes[0], kernel_sizes[0], stride=strides[0], padding=3, act='relu', param_attr=fluid.initializer.Xav... | the_stack_v2_python_sparse | 10.pdpd/ggcnn_fluid.py | Nhiemth1985/ggcnn_cornell_dataset | train | 0 | |
58483fd26ded2eef48506baf01f41c8d30f8086e | [
"self.done = False\nself.th_lim = 10.0\nself.sign = 1 if positive else -1\nself.u_max = 0.8\nself.cnt = 0\nself.cnt_done = cnt_done",
"th = meas[0].item()\nif abs(th - self.th_lim) > 1e-08:\n self.cnt = 0\n self.th_lim = th\nelse:\n self.cnt += 1\nself.done = self.cnt >= self.cnt_done\nreturn to.tensor([... | <|body_start_0|>
self.done = False
self.th_lim = 10.0
self.sign = 1 if positive else -1
self.u_max = 0.8
self.cnt = 0
self.cnt_done = cnt_done
<|end_body_0|>
<|body_start_1|>
th = meas[0].item()
if abs(th - self.th_lim) > 1e-08:
self.cnt = 0
... | Controller for going to one of the joint limits (part of the calibration routine) | GoToLimCtrl | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoToLimCtrl:
"""Controller for going to one of the joint limits (part of the calibration routine)"""
def __init__(self, positive: bool=True, cnt_done: int=250):
"""Constructor :param positive: direction switch"""
<|body_0|>
def __call__(self, meas: to.Tensor) -> to.Tenso... | stack_v2_sparse_classes_10k_train_003027 | 25,612 | permissive | [
{
"docstring": "Constructor :param positive: direction switch",
"name": "__init__",
"signature": "def __init__(self, positive: bool=True, cnt_done: int=250)"
},
{
"docstring": "Go to joint limits by applying u_max and save limit value in th_lim. :param meas: sensor measurement :return: action",
... | 2 | null | Implement the Python class `GoToLimCtrl` described below.
Class description:
Controller for going to one of the joint limits (part of the calibration routine)
Method signatures and docstrings:
- def __init__(self, positive: bool=True, cnt_done: int=250): Constructor :param positive: direction switch
- def __call__(se... | Implement the Python class `GoToLimCtrl` described below.
Class description:
Controller for going to one of the joint limits (part of the calibration routine)
Method signatures and docstrings:
- def __init__(self, positive: bool=True, cnt_done: int=250): Constructor :param positive: direction switch
- def __call__(se... | a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5 | <|skeleton|>
class GoToLimCtrl:
"""Controller for going to one of the joint limits (part of the calibration routine)"""
def __init__(self, positive: bool=True, cnt_done: int=250):
"""Constructor :param positive: direction switch"""
<|body_0|>
def __call__(self, meas: to.Tensor) -> to.Tenso... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GoToLimCtrl:
"""Controller for going to one of the joint limits (part of the calibration routine)"""
def __init__(self, positive: bool=True, cnt_done: int=250):
"""Constructor :param positive: direction switch"""
self.done = False
self.th_lim = 10.0
self.sign = 1 if positi... | the_stack_v2_python_sparse | Pyrado/pyrado/policies/environment_specific.py | jacarvalho/SimuRLacra | train | 0 |
4daa02e84d42b8e83e5775b4360c825f68aa1b12 | [
"res = [[]]\nfor i in nums:\n temp = []\n for j in res:\n temp.append(j + [i])\n res += temp\nreturn res",
"nums.sort()\nres = []\nn = len(nums)\n\ndef dfs(cur, path):\n res.append(path)\n for i in range(cur, n):\n if i > cur and nums[i] == nums[i - 1]:\n continue\n ... | <|body_start_0|>
res = [[]]
for i in nums:
temp = []
for j in res:
temp.append(j + [i])
res += temp
return res
<|end_body_0|>
<|body_start_1|>
nums.sort()
res = []
n = len(nums)
def dfs(cur, path):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subsetsWithDup78(self, nums: List[int]) -> List[List[int]]:
"""78. 子集 数组元素互不相同"""
<|body_0|>
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""90. 子集 II 存在重复元素 看成 n叉树，去重只去同一层的相同元素，同一树分支的元素不去重。 对于数组[2,2,3]比如第一层取2；3,2的下一层取2，3；3没有下一层"""
... | stack_v2_sparse_classes_10k_train_003028 | 1,688 | no_license | [
{
"docstring": "78. 子集 数组元素互不相同",
"name": "subsetsWithDup78",
"signature": "def subsetsWithDup78(self, nums: List[int]) -> List[List[int]]"
},
{
"docstring": "90. 子集 II 存在重复元素 看成 n叉树，去重只去同一层的相同元素，同一树分支的元素不去重。 对于数组[2,2,3]比如第一层取2；3,2的下一层取2，3；3没有下一层",
"name": "subsetsWithDup",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_005127 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsetsWithDup78(self, nums: List[int]) -> List[List[int]]: 78. 子集 数组元素互不相同
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: 90. 子集 II 存在重复元素 看成 n叉树，去重只去同一层的相同... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsetsWithDup78(self, nums: List[int]) -> List[List[int]]: 78. 子集 数组元素互不相同
- def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: 90. 子集 II 存在重复元素 看成 n叉树，去重只去同一层的相同... | 3fd69b85f52af861ff7e2c74d8aacc515b192615 | <|skeleton|>
class Solution:
def subsetsWithDup78(self, nums: List[int]) -> List[List[int]]:
"""78. 子集 数组元素互不相同"""
<|body_0|>
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""90. 子集 II 存在重复元素 看成 n叉树，去重只去同一层的相同元素，同一树分支的元素不去重。 对于数组[2,2,3]比如第一层取2；3,2的下一层取2，3；3没有下一层"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def subsetsWithDup78(self, nums: List[int]) -> List[List[int]]:
"""78. 子集 数组元素互不相同"""
res = [[]]
for i in nums:
temp = []
for j in res:
temp.append(j + [i])
res += temp
return res
def subsetsWithDup(self, nums: ... | the_stack_v2_python_sparse | Array/Array_Subset_78_90.py | helloprogram6/leetcode_Cookbook_python | train | 0 | |
131112e81e163f00c063859972a8530cacee8fe3 | [
"def back_track(left=1, curr=[]):\n if len(curr) == k:\n output.append(curr[:])\n for i in range(left, n + 1):\n curr.append(i)\n back_track(i + 1, curr)\n curr.pop()\noutput = []\nback_track()\nreturn output",
"nums = list(range(1, k + 1)) + [n + 1]\nleft, output = (0, [])\nwhil... | <|body_start_0|>
def back_track(left=1, curr=[]):
if len(curr) == k:
output.append(curr[:])
for i in range(left, n + 1):
curr.append(i)
back_track(i + 1, curr)
curr.pop()
output = []
back_track()
retu... | Combination | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Combination:
def combine(self, n: int, k: int) -> List[List[int]]:
"""Approach: Back Tracking (Recursion) Time Complexity: O(k * c`k ,n) Space Complexity: O(C`k ,n) :param n: :param k: :return:"""
<|body_0|>
def combine_(self, n: int, k: int) -> List[List[int]]:
"""A... | stack_v2_sparse_classes_10k_train_003029 | 1,490 | no_license | [
{
"docstring": "Approach: Back Tracking (Recursion) Time Complexity: O(k * c`k ,n) Space Complexity: O(C`k ,n) :param n: :param k: :return:",
"name": "combine",
"signature": "def combine(self, n: int, k: int) -> List[List[int]]"
},
{
"docstring": "Approach: Lexicographic (binary) sorted combinat... | 2 | null | Implement the Python class `Combination` described below.
Class description:
Implement the Combination class.
Method signatures and docstrings:
- def combine(self, n: int, k: int) -> List[List[int]]: Approach: Back Tracking (Recursion) Time Complexity: O(k * c`k ,n) Space Complexity: O(C`k ,n) :param n: :param k: :re... | Implement the Python class `Combination` described below.
Class description:
Implement the Combination class.
Method signatures and docstrings:
- def combine(self, n: int, k: int) -> List[List[int]]: Approach: Back Tracking (Recursion) Time Complexity: O(k * c`k ,n) Space Complexity: O(C`k ,n) :param n: :param k: :re... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Combination:
def combine(self, n: int, k: int) -> List[List[int]]:
"""Approach: Back Tracking (Recursion) Time Complexity: O(k * c`k ,n) Space Complexity: O(C`k ,n) :param n: :param k: :return:"""
<|body_0|>
def combine_(self, n: int, k: int) -> List[List[int]]:
"""A... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Combination:
def combine(self, n: int, k: int) -> List[List[int]]:
"""Approach: Back Tracking (Recursion) Time Complexity: O(k * c`k ,n) Space Complexity: O(C`k ,n) :param n: :param k: :return:"""
def back_track(left=1, curr=[]):
if len(curr) == k:
output.append(cur... | the_stack_v2_python_sparse | data_structures/combinations.py | Shiv2157k/leet_code | train | 1 | |
a322709883ba2162eda57f91394f82336c53fa2e | [
"cur = 0\ncount = 1\nwhile cur < len(chars) - 1:\n if chars[cur] == chars[cur + 1]:\n chars.pop(cur + 1)\n count += 1\n elif count > 1:\n tmp = list(str(count))\n for i in range(len(tmp)):\n chars.insert(cur + 1 + i, tmp[i])\n cur += len(tmp) + 1\n count = ... | <|body_start_0|>
cur = 0
count = 1
while cur < len(chars) - 1:
if chars[cur] == chars[cur + 1]:
chars.pop(cur + 1)
count += 1
elif count > 1:
tmp = list(str(count))
for i in range(len(tmp)):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def compress(self, chars):
"""1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int"""
<|body_0|>
def compress2(self, chars):
"""1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_10k_train_003030 | 2,481 | no_license | [
{
"docstring": "1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int",
"name": "compress",
"signature": "def compress(self, chars)"
},
{
"docstring": "1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int",
"name": "compress2",
"signature": "def compress2(self, chars)"... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def compress(self, chars): 1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int
- def compress2(self, chars): 1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def compress(self, chars): 1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int
- def compress2(self, chars): 1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype:... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def compress(self, chars):
"""1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int"""
<|body_0|>
def compress2(self, chars):
"""1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def compress(self, chars):
"""1个字符保持不动 2个以上连续字符以字符,出现次数代替 :type chars: List[str] :rtype: int"""
cur = 0
count = 1
while cur < len(chars) - 1:
if chars[cur] == chars[cur + 1]:
chars.pop(cur + 1)
count += 1
elif co... | the_stack_v2_python_sparse | 443_压缩字符串.py | lovehhf/LeetCode | train | 0 | |
f7d6686031f610de07d5bb71ea5e0ab711b20d2b | [
"if not is_administrator(self.context['request'].user):\n raise serializers.ValidationError(constants.PERMISSION_ADMINISTRATOR_REQUIRED)\nreturn data",
"if is_vendors(user):\n raise serializers.ValidationError('User already has vendors permissions')\nreturn user"
] | <|body_start_0|>
if not is_administrator(self.context['request'].user):
raise serializers.ValidationError(constants.PERMISSION_ADMINISTRATOR_REQUIRED)
return data
<|end_body_0|>
<|body_start_1|>
if is_vendors(user):
raise serializers.ValidationError('User already has ven... | ModeratorSerializerCreate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModeratorSerializerCreate:
def validate(self, data):
"""Administrator permissions needed"""
<|body_0|>
def validate_user(self, user):
"""Ensure user is not already moderator or higher"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not is_adminis... | stack_v2_sparse_classes_10k_train_003031 | 1,137 | no_license | [
{
"docstring": "Administrator permissions needed",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": "Ensure user is not already moderator or higher",
"name": "validate_user",
"signature": "def validate_user(self, user)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007336 | Implement the Python class `ModeratorSerializerCreate` described below.
Class description:
Implement the ModeratorSerializerCreate class.
Method signatures and docstrings:
- def validate(self, data): Administrator permissions needed
- def validate_user(self, user): Ensure user is not already moderator or higher | Implement the Python class `ModeratorSerializerCreate` described below.
Class description:
Implement the ModeratorSerializerCreate class.
Method signatures and docstrings:
- def validate(self, data): Administrator permissions needed
- def validate_user(self, user): Ensure user is not already moderator or higher
<|sk... | d17fcc79b175831bae9c2e0a3a536a384b1a562b | <|skeleton|>
class ModeratorSerializerCreate:
def validate(self, data):
"""Administrator permissions needed"""
<|body_0|>
def validate_user(self, user):
"""Ensure user is not already moderator or higher"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ModeratorSerializerCreate:
def validate(self, data):
"""Administrator permissions needed"""
if not is_administrator(self.context['request'].user):
raise serializers.ValidationError(constants.PERMISSION_ADMINISTRATOR_REQUIRED)
return data
def validate_user(self, user):
... | the_stack_v2_python_sparse | app/users/serializers/vendors.py | Empire-Synergy-Solutions/Altaviz_Backend | train | 0 | |
3d7e2b462da93f154c994a3fa4ef3ebe2f4a3ae8 | [
"self.stored = None\nself.indexed = None\nself.description = None\nself.data_type = None\nself.name = None\nreplace_names = {'stored': 'stored', 'indexed': 'indexed', 'description': 'description', 'dataType': 'data_type', 'name': 'name'}\nif kwargs is not None:\n for key in kwargs:\n if key in replace_nam... | <|body_start_0|>
self.stored = None
self.indexed = None
self.description = None
self.data_type = None
self.name = None
replace_names = {'stored': 'stored', 'indexed': 'indexed', 'description': 'description', 'dataType': 'data_type', 'name': 'name'}
if kwargs is no... | Implementation of the 'Occurrence_indexed_fields_Response' model. Occurrence_indexed_fields_Response Attributes: stored (bool): stored indexed (bool): indexed description (string): description data_type (string): dataType name (string): name | OccurrenceIndexedFieldsResponse | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OccurrenceIndexedFieldsResponse:
"""Implementation of the 'Occurrence_indexed_fields_Response' model. Occurrence_indexed_fields_Response Attributes: stored (bool): stored indexed (bool): indexed description (string): description data_type (string): dataType name (string): name"""
def __init_... | stack_v2_sparse_classes_10k_train_003032 | 3,103 | no_license | [
{
"docstring": "Constructor for the OccurrenceIndexedFieldsResponse class Args: **kwargs: Keyword Arguments in order to initialise the object. Any of the attributes in this object are able to be set through the **kwargs of the constructor. The values that can be supplied and their types are as follows:: stored ... | 2 | stack_v2_sparse_classes_30k_train_005895 | Implement the Python class `OccurrenceIndexedFieldsResponse` described below.
Class description:
Implementation of the 'Occurrence_indexed_fields_Response' model. Occurrence_indexed_fields_Response Attributes: stored (bool): stored indexed (bool): indexed description (string): description data_type (string): dataType ... | Implement the Python class `OccurrenceIndexedFieldsResponse` described below.
Class description:
Implementation of the 'Occurrence_indexed_fields_Response' model. Occurrence_indexed_fields_Response Attributes: stored (bool): stored indexed (bool): indexed description (string): description data_type (string): dataType ... | a9f803ea42bef4eb3720d5dd92a53dc98e8f2678 | <|skeleton|>
class OccurrenceIndexedFieldsResponse:
"""Implementation of the 'Occurrence_indexed_fields_Response' model. Occurrence_indexed_fields_Response Attributes: stored (bool): stored indexed (bool): indexed description (string): description data_type (string): dataType name (string): name"""
def __init_... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OccurrenceIndexedFieldsResponse:
"""Implementation of the 'Occurrence_indexed_fields_Response' model. Occurrence_indexed_fields_Response Attributes: stored (bool): stored indexed (bool): indexed description (string): description data_type (string): dataType name (string): name"""
def __init__(self, **kwa... | the_stack_v2_python_sparse | AtlasOfLivingAustraliaOccurrencesLib/Models/OccurrenceIndexedFieldsResponse.py | chm052/naturehack | train | 2 |
554b788837ee12faadfb83dbfd911477862c8604 | [
"super().__init__()\ntext = text or PADDING_TEXT\nself.text_tokens = text.split()\nif special_end_token is not None:\n self.text_tokens.append(special_end_token)\nself.text_len = len(self.text_tokens)",
"transformed_sentences = []\ntransformed_target_ids = []\nfor sentence, target_id in zip(sentences, target_i... | <|body_start_0|>
super().__init__()
text = text or PADDING_TEXT
self.text_tokens = text.split()
if special_end_token is not None:
self.text_tokens.append(special_end_token)
self.text_len = len(self.text_tokens)
<|end_body_0|>
<|body_start_1|>
transformed_sent... | PadTextPreprocessor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PadTextPreprocessor:
def __init__(self, text: Optional[str]=None, special_end_token: Optional[str]=None):
"""Preprocessor that pads original sentence with some pre-defined text. Args: text: text that would be padded to the original sentence. special_end_token: this token would be added r... | stack_v2_sparse_classes_10k_train_003033 | 9,230 | permissive | [
{
"docstring": "Preprocessor that pads original sentence with some pre-defined text. Args: text: text that would be padded to the original sentence. special_end_token: this token would be added right at the end of a tokenized text, e.g. <eod> for XLNet.",
"name": "__init__",
"signature": "def __init__(s... | 2 | stack_v2_sparse_classes_30k_train_005244 | Implement the Python class `PadTextPreprocessor` described below.
Class description:
Implement the PadTextPreprocessor class.
Method signatures and docstrings:
- def __init__(self, text: Optional[str]=None, special_end_token: Optional[str]=None): Preprocessor that pads original sentence with some pre-defined text. Ar... | Implement the Python class `PadTextPreprocessor` described below.
Class description:
Implement the PadTextPreprocessor class.
Method signatures and docstrings:
- def __init__(self, text: Optional[str]=None, special_end_token: Optional[str]=None): Preprocessor that pads original sentence with some pre-defined text. Ar... | c87f67e5fe51fc8307b5d5ff8f404f202f17ab5e | <|skeleton|>
class PadTextPreprocessor:
def __init__(self, text: Optional[str]=None, special_end_token: Optional[str]=None):
"""Preprocessor that pads original sentence with some pre-defined text. Args: text: text that would be padded to the original sentence. special_end_token: this token would be added r... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PadTextPreprocessor:
def __init__(self, text: Optional[str]=None, special_end_token: Optional[str]=None):
"""Preprocessor that pads original sentence with some pre-defined text. Args: text: text that would be padded to the original sentence. special_end_token: this token would be added right at the en... | the_stack_v2_python_sparse | lexsubgen/pre_processors/base_preprocessors.py | agoel00/LexSubGen | train | 0 | |
0361320c7de07ad261f2fea08a05f3f5cb605d02 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | FederatedLearningServicer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FederatedLearningServicer:
"""Missing associated documentation comment in .proto file."""
def GetJob(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def GetTensorRecord(self, request, context):
"""Missing associa... | stack_v2_sparse_classes_10k_train_003034 | 7,291 | permissive | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "GetJob",
"signature": "def GetJob(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "GetTensorRecord",
"signature": "def GetTensorRecord(self, ... | 4 | stack_v2_sparse_classes_30k_train_000083 | Implement the Python class `FederatedLearningServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def GetJob(self, request, context): Missing associated documentation comment in .proto file.
- def GetTensorRecord(self, request, cont... | Implement the Python class `FederatedLearningServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def GetJob(self, request, context): Missing associated documentation comment in .proto file.
- def GetTensorRecord(self, request, cont... | 1223619661f82733b5d66f8901cac7f16002c610 | <|skeleton|>
class FederatedLearningServicer:
"""Missing associated documentation comment in .proto file."""
def GetJob(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def GetTensorRecord(self, request, context):
"""Missing associa... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FederatedLearningServicer:
"""Missing associated documentation comment in .proto file."""
def GetJob(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!... | the_stack_v2_python_sparse | src/appfl/protos/federated_learning_pb2_grpc.py | APPFL/APPFL | train | 39 |
4a0dc7be60ff96c3a52cde3d05cd70679b6f8b20 | [
"self.domain = domain\nself.ip = ip\nself.ucenter = ucenter\nself.user = user\nself.password = password\nself.server = Server(self.ip, get_info=ALL)\nself.conn = Connection(self.server, user=self.domain + '\\\\' + self.user, password=self.password, auto_bind=True, authentication=NTLM)",
"att_list = ['displayName'... | <|body_start_0|>
self.domain = domain
self.ip = ip
self.ucenter = ucenter
self.user = user
self.password = password
self.server = Server(self.ip, get_info=ALL)
self.conn = Connection(self.server, user=self.domain + '\\' + self.user, password=self.password, auto_bi... | AD域操作 | Adoper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Adoper:
"""AD域操作"""
def __init__(self, domain, ip, ucenter, user, password):
""":param domain:域名,格式为xxx.xxx.xxx :param ip:服务器地址,格式为域名xxx.xxx.xxx :param user:管理账户 :param password:密码 :param basedn:"""
<|body_0|>
def searchuser(self, orgunit):
""":param orgunit: 组织单... | stack_v2_sparse_classes_10k_train_003035 | 4,132 | no_license | [
{
"docstring": ":param domain:域名,格式为xxx.xxx.xxx :param ip:服务器地址,格式为域名xxx.xxx.xxx :param user:管理账户 :param password:密码 :param basedn:",
"name": "__init__",
"signature": "def __init__(self, domain, ip, ucenter, user, password)"
},
{
"docstring": ":param orgunit: 组织单元名,格式为aaa.bbb 即bbb组织下的aaa组织，不包含域地... | 4 | stack_v2_sparse_classes_30k_train_006960 | Implement the Python class `Adoper` described below.
Class description:
AD域操作
Method signatures and docstrings:
- def __init__(self, domain, ip, ucenter, user, password): :param domain:域名,格式为xxx.xxx.xxx :param ip:服务器地址,格式为域名xxx.xxx.xxx :param user:管理账户 :param password:密码 :param basedn:
- def searchuser(self, orgunit)... | Implement the Python class `Adoper` described below.
Class description:
AD域操作
Method signatures and docstrings:
- def __init__(self, domain, ip, ucenter, user, password): :param domain:域名,格式为xxx.xxx.xxx :param ip:服务器地址,格式为域名xxx.xxx.xxx :param user:管理账户 :param password:密码 :param basedn:
- def searchuser(self, orgunit)... | 2a733b34f337d4497051660f473a4cfb977fc15b | <|skeleton|>
class Adoper:
"""AD域操作"""
def __init__(self, domain, ip, ucenter, user, password):
""":param domain:域名,格式为xxx.xxx.xxx :param ip:服务器地址,格式为域名xxx.xxx.xxx :param user:管理账户 :param password:密码 :param basedn:"""
<|body_0|>
def searchuser(self, orgunit):
""":param orgunit: 组织单... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Adoper:
"""AD域操作"""
def __init__(self, domain, ip, ucenter, user, password):
""":param domain:域名,格式为xxx.xxx.xxx :param ip:服务器地址,格式为域名xxx.xxx.xxx :param user:管理账户 :param password:密码 :param basedn:"""
self.domain = domain
self.ip = ip
self.ucenter = ucenter
self.user... | the_stack_v2_python_sparse | VMwareAutoApi/kdldapapi/ldaptool/adoper.py | vkhaibao/PyProject | train | 1 |
e51ea1e9cd9459421b9e5b847dc1dee6ceae7584 | [
"count = [0] * 32\nfor num in nums:\n k = 0\n while k < 32:\n count[k] += num >> k & 1\n k += 1\nres = 0\nfor i in range(32):\n res += count[i] % 3 * 2 ** i\nreturn res",
"ones, twos = (0, 0)\nfor num in nums:\n ones = (ones ^ num) & ~twos\n twos = (twos ^ num) & ~ones\nreturn ones"
] | <|body_start_0|>
count = [0] * 32
for num in nums:
k = 0
while k < 32:
count[k] += num >> k & 1
k += 1
res = 0
for i in range(32):
res += count[i] % 3 * 2 ** i
return res
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findNumberAppearingOnce(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findNumberAppearingOnce_2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
count = [0] * 32
... | stack_v2_sparse_classes_10k_train_003036 | 1,038 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findNumberAppearingOnce",
"signature": "def findNumberAppearingOnce(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findNumberAppearingOnce_2",
"signature": "def findNumberAppearingOnce_2(self, nums... | 2 | stack_v2_sparse_classes_30k_train_005698 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findNumberAppearingOnce(self, nums): :type nums: List[int] :rtype: int
- def findNumberAppearingOnce_2(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 findNumberAppearingOnce(self, nums): :type nums: List[int] :rtype: int
- def findNumberAppearingOnce_2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solu... | 967b0fbb40ae491b552bc3365a481e66324cb6f2 | <|skeleton|>
class Solution:
def findNumberAppearingOnce(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findNumberAppearingOnce_2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findNumberAppearingOnce(self, nums):
""":type nums: List[int] :rtype: int"""
count = [0] * 32
for num in nums:
k = 0
while k < 32:
count[k] += num >> k & 1
k += 1
res = 0
for i in range(32):
... | the_stack_v2_python_sparse | jianzhi_offer/52_数组中唯一只出现一次的数字.py | ryanatgz/data_structure_and_algorithm | train | 0 | |
0f6b7d1c823356ec6c03f157a711a2d26bc7a735 | [
"if not quota_max_calls:\n use_rate_limiter = False\nself._billing_accounts = None\nself._projects = None\nsuper(CloudBillingRepositoryClient, self).__init__(API_NAME, versions=['v1'], quota_max_calls=quota_max_calls, quota_period=quota_period, use_rate_limiter=use_rate_limiter)",
"if not self._billing_account... | <|body_start_0|>
if not quota_max_calls:
use_rate_limiter = False
self._billing_accounts = None
self._projects = None
super(CloudBillingRepositoryClient, self).__init__(API_NAME, versions=['v1'], quota_max_calls=quota_max_calls, quota_period=quota_period, use_rate_limiter=use... | Cloud Billing API Respository. | CloudBillingRepositoryClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloudBillingRepositoryClient:
"""Cloud Billing API Respository."""
def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period t... | stack_v2_sparse_classes_10k_train_003037 | 10,503 | permissive | [
{
"docstring": "Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track requests over. use_rate_limiter (bool): Set to false to disable the use of a rate limiter for this service.",
"name": "__init__",
"signature": "def __... | 3 | stack_v2_sparse_classes_30k_train_005796 | Implement the Python class `CloudBillingRepositoryClient` described below.
Class description:
Cloud Billing API Respository.
Method signatures and docstrings:
- def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True): Constructor. Args: quota_max_calls (int): Allowed requests per <quota_per... | Implement the Python class `CloudBillingRepositoryClient` described below.
Class description:
Cloud Billing API Respository.
Method signatures and docstrings:
- def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True): Constructor. Args: quota_max_calls (int): Allowed requests per <quota_per... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class CloudBillingRepositoryClient:
"""Cloud Billing API Respository."""
def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period t... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CloudBillingRepositoryClient:
"""Cloud Billing API Respository."""
def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track reque... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_api/cloudbilling.py | kevensen/forseti-security | train | 1 |
43f4401333a2c6925e613b0fb2670df654547cc2 | [
"self.offer_listing_id = offer_listing_id\nself.price = price\nself.sale_price = sale_price\nself.amount_saved = amount_saved\nself.percentage_saved = percentage_saved\nself.availability = availability\nself.availability_attributes = availability_attributes\nself.is_eligible_for_super_saver_shipping = is_eligible_f... | <|body_start_0|>
self.offer_listing_id = offer_listing_id
self.price = price
self.sale_price = sale_price
self.amount_saved = amount_saved
self.percentage_saved = percentage_saved
self.availability = availability
self.availability_attributes = availability_attribu... | Implementation of the 'OfferListing' model. TODO: type model description here. Attributes: offer_listing_id (string): TODO: type description here. price (Price): TODO: type description here. sale_price (Price): TODO: type description here. amount_saved (Price): TODO: type description here. percentage_saved (int): TODO:... | OfferListing | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OfferListing:
"""Implementation of the 'OfferListing' model. TODO: type model description here. Attributes: offer_listing_id (string): TODO: type description here. price (Price): TODO: type description here. sale_price (Price): TODO: type description here. amount_saved (Price): TODO: type descrip... | stack_v2_sparse_classes_10k_train_003038 | 4,415 | permissive | [
{
"docstring": "Constructor for the OfferListing class",
"name": "__init__",
"signature": "def __init__(self, offer_listing_id=None, price=None, sale_price=None, amount_saved=None, percentage_saved=None, availability=None, availability_attributes=None, is_eligible_for_super_saver_shipping=None, is_eligi... | 2 | stack_v2_sparse_classes_30k_train_003542 | Implement the Python class `OfferListing` described below.
Class description:
Implementation of the 'OfferListing' model. TODO: type model description here. Attributes: offer_listing_id (string): TODO: type description here. price (Price): TODO: type description here. sale_price (Price): TODO: type description here. a... | Implement the Python class `OfferListing` described below.
Class description:
Implementation of the 'OfferListing' model. TODO: type model description here. Attributes: offer_listing_id (string): TODO: type description here. price (Price): TODO: type description here. sale_price (Price): TODO: type description here. a... | 26ea1019115a1de3b1b37a4b830525e164ac55ce | <|skeleton|>
class OfferListing:
"""Implementation of the 'OfferListing' model. TODO: type model description here. Attributes: offer_listing_id (string): TODO: type description here. price (Price): TODO: type description here. sale_price (Price): TODO: type description here. amount_saved (Price): TODO: type descrip... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OfferListing:
"""Implementation of the 'OfferListing' model. TODO: type model description here. Attributes: offer_listing_id (string): TODO: type description here. price (Price): TODO: type description here. sale_price (Price): TODO: type description here. amount_saved (Price): TODO: type description here. pe... | the_stack_v2_python_sparse | awsecommerceservice/models/offer_listing.py | nidaizamir/Test-PY | train | 0 |
26248d8cfa9c6560e0d2d720c690751411c8fe8d | [
"if obj == cls.OFF:\n return dataset_options_pb2.AutoShardPolicy.OFF\nif obj == cls.FILE:\n return dataset_options_pb2.AutoShardPolicy.FILE\nif obj == cls.DATA:\n return dataset_options_pb2.AutoShardPolicy.DATA\nif obj == cls.AUTO:\n return dataset_options_pb2.AutoShardPolicy.AUTO\nif obj == cls.HINT:\n... | <|body_start_0|>
if obj == cls.OFF:
return dataset_options_pb2.AutoShardPolicy.OFF
if obj == cls.FILE:
return dataset_options_pb2.AutoShardPolicy.FILE
if obj == cls.DATA:
return dataset_options_pb2.AutoShardPolicy.DATA
if obj == cls.AUTO:
r... | Represents the type of auto-sharding to use. OFF: No sharding will be performed. AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. FILE: Shards by input files (i.e. each worker will get a set of files to process). When this option is selected, make sure that there is at least as many files as wor... | AutoShardPolicy | [
"MIT",
"Apache-2.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutoShardPolicy:
"""Represents the type of auto-sharding to use. OFF: No sharding will be performed. AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. FILE: Shards by input files (i.e. each worker will get a set of files to process). When this option is selected, make sure ... | stack_v2_sparse_classes_10k_train_003039 | 6,002 | permissive | [
{
"docstring": "Convert enum to proto.",
"name": "_to_proto",
"signature": "def _to_proto(cls, obj)"
},
{
"docstring": "Convert proto to enum.",
"name": "_from_proto",
"signature": "def _from_proto(cls, pb)"
}
] | 2 | null | Implement the Python class `AutoShardPolicy` described below.
Class description:
Represents the type of auto-sharding to use. OFF: No sharding will be performed. AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. FILE: Shards by input files (i.e. each worker will get a set of files to process). W... | Implement the Python class `AutoShardPolicy` described below.
Class description:
Represents the type of auto-sharding to use. OFF: No sharding will be performed. AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. FILE: Shards by input files (i.e. each worker will get a set of files to process). W... | 085b20a4b6287eff8c0b792425d52422ab8cbab3 | <|skeleton|>
class AutoShardPolicy:
"""Represents the type of auto-sharding to use. OFF: No sharding will be performed. AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. FILE: Shards by input files (i.e. each worker will get a set of files to process). When this option is selected, make sure ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AutoShardPolicy:
"""Represents the type of auto-sharding to use. OFF: No sharding will be performed. AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding. FILE: Shards by input files (i.e. each worker will get a set of files to process). When this option is selected, make sure that there is... | the_stack_v2_python_sparse | tensorflow/python/data/experimental/ops/distribute_options.py | graphcore/tensorflow | train | 84 |
3545980521045371b3059e93e736b3eff2fec254 | [
"program, _ = create_program()\ncourse = program.course_set.first()\nenrollment = ProgramEnrollmentFactory.create(program=program)\ncurrent_run = ExamRunFactory.create(course=course, authorized=authorized)\npast_run = ExamRunFactory.create(course=course, scheduling_future=True, authorized=authorized)\nfuture_run = ... | <|body_start_0|>
program, _ = create_program()
course = program.course_set.first()
enrollment = ProgramEnrollmentFactory.create(program=program)
current_run = ExamRunFactory.create(course=course, authorized=authorized)
past_run = ExamRunFactory.create(course=course, scheduling_fu... | Tests for ExamRun tasks | ExamRunTasksTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExamRunTasksTest:
"""Tests for ExamRun tasks"""
def test_authorize_exam_runs(self, authorized, authorize_for_latest_passed_course_mock):
"""Test authorize_exam_runs()"""
<|body_0|>
def test_authorize_enrollment_for_exam_run(self, authorize_for_latest_passed_course_mock):... | stack_v2_sparse_classes_10k_train_003040 | 2,615 | permissive | [
{
"docstring": "Test authorize_exam_runs()",
"name": "test_authorize_exam_runs",
"signature": "def test_authorize_exam_runs(self, authorized, authorize_for_latest_passed_course_mock)"
},
{
"docstring": "Test authorize_enrollment_for_exam_run()",
"name": "test_authorize_enrollment_for_exam_ru... | 2 | stack_v2_sparse_classes_30k_train_002694 | Implement the Python class `ExamRunTasksTest` described below.
Class description:
Tests for ExamRun tasks
Method signatures and docstrings:
- def test_authorize_exam_runs(self, authorized, authorize_for_latest_passed_course_mock): Test authorize_exam_runs()
- def test_authorize_enrollment_for_exam_run(self, authorize... | Implement the Python class `ExamRunTasksTest` described below.
Class description:
Tests for ExamRun tasks
Method signatures and docstrings:
- def test_authorize_exam_runs(self, authorized, authorize_for_latest_passed_course_mock): Test authorize_exam_runs()
- def test_authorize_enrollment_for_exam_run(self, authorize... | d6564caca0b7bbfd31e67a751564107fd17d6eb0 | <|skeleton|>
class ExamRunTasksTest:
"""Tests for ExamRun tasks"""
def test_authorize_exam_runs(self, authorized, authorize_for_latest_passed_course_mock):
"""Test authorize_exam_runs()"""
<|body_0|>
def test_authorize_enrollment_for_exam_run(self, authorize_for_latest_passed_course_mock):... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ExamRunTasksTest:
"""Tests for ExamRun tasks"""
def test_authorize_exam_runs(self, authorized, authorize_for_latest_passed_course_mock):
"""Test authorize_exam_runs()"""
program, _ = create_program()
course = program.course_set.first()
enrollment = ProgramEnrollmentFactory... | the_stack_v2_python_sparse | exams/tasks_test.py | mitodl/micromasters | train | 35 |
ba3c984ded47887d4138f67bc8ba372b6dcc271c | [
"max_steps = max_steps or 0\nmax_episodes = max_episodes or 0\nif max_steps < 1 and max_episodes < 1:\n raise ValueError('Either `max_steps` or `max_episodes` should be greater than 0.')\nsuper(PyDriver, self).__init__(env, policy, observers, transition_observers, info_observers)\nself._max_steps = max_steps or ... | <|body_start_0|>
max_steps = max_steps or 0
max_episodes = max_episodes or 0
if max_steps < 1 and max_episodes < 1:
raise ValueError('Either `max_steps` or `max_episodes` should be greater than 0.')
super(PyDriver, self).__init__(env, policy, observers, transition_observers, ... | A driver that runs a python policy in a python environment. | PyDriver | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PyDriver:
"""A driver that runs a python policy in a python environment."""
def __init__(self, env: py_environment.PyEnvironment, policy: py_policy.PyPolicy, observers: Sequence[Callable[[trajectory.Trajectory], Any]], transition_observers: Optional[Sequence[Callable[[trajectory.Transition],... | stack_v2_sparse_classes_10k_train_003041 | 6,250 | permissive | [
{
"docstring": "A driver that runs a python policy in a python environment. **Note** about bias when using batched environments with `max_episodes`: When using `max_episodes != None`, a `run` step \"finishes\" when `max_episodes` have been completely collected (hit a boundary). When used in conjunction with env... | 2 | null | Implement the Python class `PyDriver` described below.
Class description:
A driver that runs a python policy in a python environment.
Method signatures and docstrings:
- def __init__(self, env: py_environment.PyEnvironment, policy: py_policy.PyPolicy, observers: Sequence[Callable[[trajectory.Trajectory], Any]], trans... | Implement the Python class `PyDriver` described below.
Class description:
A driver that runs a python policy in a python environment.
Method signatures and docstrings:
- def __init__(self, env: py_environment.PyEnvironment, policy: py_policy.PyPolicy, observers: Sequence[Callable[[trajectory.Trajectory], Any]], trans... | eca1093d3a047e538f17f6ab92ab4d8144284f23 | <|skeleton|>
class PyDriver:
"""A driver that runs a python policy in a python environment."""
def __init__(self, env: py_environment.PyEnvironment, policy: py_policy.PyPolicy, observers: Sequence[Callable[[trajectory.Trajectory], Any]], transition_observers: Optional[Sequence[Callable[[trajectory.Transition],... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PyDriver:
"""A driver that runs a python policy in a python environment."""
def __init__(self, env: py_environment.PyEnvironment, policy: py_policy.PyPolicy, observers: Sequence[Callable[[trajectory.Trajectory], Any]], transition_observers: Optional[Sequence[Callable[[trajectory.Transition], Any]]]=None,... | the_stack_v2_python_sparse | tf_agents/drivers/py_driver.py | tensorflow/agents | train | 2,755 |
8bc93f26d98afe5eeb1033d318cf01e700104187 | [
"s1, t1 = (Counter(s), Counter(t))\ninter = t1 - s1\nreturn ''.join(inter.keys())",
"s = ''.join(sorted(s))\nt = ''.join(sorted(t))\nfor i in range(len(s)):\n if s[i] != t[i]:\n return t[i]\nreturn t[-1]",
"ans = 0\nfor c in s + t:\n ans ^= ord(c)\nreturn chr(ans)"
] | <|body_start_0|>
s1, t1 = (Counter(s), Counter(t))
inter = t1 - s1
return ''.join(inter.keys())
<|end_body_0|>
<|body_start_1|>
s = ''.join(sorted(s))
t = ''.join(sorted(t))
for i in range(len(s)):
if s[i] != t[i]:
return t[i]
return t... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findTheDifference(self, s, t):
""":type s: str :type t: str :rtype: str"""
<|body_0|>
def findTheDifference2(self, s, t):
""":type s: str :type t: str :rtype: str"""
<|body_1|>
def findTheDifference2(self, s, t):
""":type s: str :ty... | stack_v2_sparse_classes_10k_train_003042 | 1,091 | no_license | [
{
"docstring": ":type s: str :type t: str :rtype: str",
"name": "findTheDifference",
"signature": "def findTheDifference(self, s, t)"
},
{
"docstring": ":type s: str :type t: str :rtype: str",
"name": "findTheDifference2",
"signature": "def findTheDifference2(self, s, t)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_004266 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findTheDifference(self, s, t): :type s: str :type t: str :rtype: str
- def findTheDifference2(self, s, t): :type s: str :type t: str :rtype: str
- def findTheDifference2(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findTheDifference(self, s, t): :type s: str :type t: str :rtype: str
- def findTheDifference2(self, s, t): :type s: str :type t: str :rtype: str
- def findTheDifference2(self... | 0fc4c7af59246e3064db41989a45d9db413a624b | <|skeleton|>
class Solution:
def findTheDifference(self, s, t):
""":type s: str :type t: str :rtype: str"""
<|body_0|>
def findTheDifference2(self, s, t):
""":type s: str :type t: str :rtype: str"""
<|body_1|>
def findTheDifference2(self, s, t):
""":type s: str :ty... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findTheDifference(self, s, t):
""":type s: str :type t: str :rtype: str"""
s1, t1 = (Counter(s), Counter(t))
inter = t1 - s1
return ''.join(inter.keys())
def findTheDifference2(self, s, t):
""":type s: str :type t: str :rtype: str"""
s = ''.jo... | the_stack_v2_python_sparse | 389. Find the Difference/difference.py | Macielyoung/LeetCode | train | 1 | |
2f100a8f47a6ef7bec868f944c9126b5b7ece87c | [
"assert len(phases) == len(components), 'phases and components should be of same length'\nself.phases = phases\nself.components = components\nself.t_pres = t_pres\nself.t_posts = t_posts\nself.fmin = fmin\nself.fmax = fmax\nself.zerophase = zerophase\nself.dt = dt\nself.tstars = tstars\nself.sigmas = sigmas\nself.b... | <|body_start_0|>
assert len(phases) == len(components), 'phases and components should be of same length'
self.phases = phases
self.components = components
self.t_pres = t_pres
self.t_posts = t_posts
self.fmin = fmin
self.fmax = fmax
self.zerophase = zeroph... | This class does source (SRC) and structure (STR) inversion | SRC_STR | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SRC_STR:
"""This class does source (SRC) and structure (STR) inversion"""
def __init__(self, binary_file_path: str, prior_dat_filepath: str, save_folder: str, phases: [str], components: [str], t_pres: [float], t_posts: [float], vpvs: bool, depth: bool, dt: [float], sigmas: [float], tstars: [... | stack_v2_sparse_classes_10k_train_003043 | 22,015 | permissive | [
{
"docstring": "If vpvs and depth are both True (depth and vpvs are both inverted) :param binary_path: path to reflectivity code binary file :param prior_dat_filepath: path to your initial (prior) crfl.dat file :param save_folder: save folder :param phases: phases to be windowed :param components: on which comp... | 3 | stack_v2_sparse_classes_30k_train_004798 | Implement the Python class `SRC_STR` described below.
Class description:
This class does source (SRC) and structure (STR) inversion
Method signatures and docstrings:
- def __init__(self, binary_file_path: str, prior_dat_filepath: str, save_folder: str, phases: [str], components: [str], t_pres: [float], t_posts: [floa... | Implement the Python class `SRC_STR` described below.
Class description:
This class does source (SRC) and structure (STR) inversion
Method signatures and docstrings:
- def __init__(self, binary_file_path: str, prior_dat_filepath: str, save_folder: str, phases: [str], components: [str], t_pres: [float], t_posts: [floa... | 2632214f7df9caaa53d33432193ba0602470d21a | <|skeleton|>
class SRC_STR:
"""This class does source (SRC) and structure (STR) inversion"""
def __init__(self, binary_file_path: str, prior_dat_filepath: str, save_folder: str, phases: [str], components: [str], t_pres: [float], t_posts: [float], vpvs: bool, depth: bool, dt: [float], sigmas: [float], tstars: [... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SRC_STR:
"""This class does source (SRC) and structure (STR) inversion"""
def __init__(self, binary_file_path: str, prior_dat_filepath: str, save_folder: str, phases: [str], components: [str], t_pres: [float], t_posts: [float], vpvs: bool, depth: bool, dt: [float], sigmas: [float], tstars: [float]=None, ... | the_stack_v2_python_sparse | SS_MTI/Gradient.py | nienkebrinkman/SS_MTI | train | 0 |
9d6d95f62b7b9f14d0b42b2f7b90d8d9224c1446 | [
"self._config = config\nself._optimizer_config = config.optimizer.get()\nself._optimizer_type = config.optimizer.type\nif self._optimizer_config is None:\n raise ValueError('Optimizer type must be specified')\nself._lr_config = config.learning_rate.get()\nself._lr_type = config.learning_rate.type\nself._warmup_c... | <|body_start_0|>
self._config = config
self._optimizer_config = config.optimizer.get()
self._optimizer_type = config.optimizer.type
if self._optimizer_config is None:
raise ValueError('Optimizer type must be specified')
self._lr_config = config.learning_rate.get()
... | Optimizer factory class. This class builds learning rate and optimizer based on an optimization config. To use this class, you need to do the following: (1) Define optimization config, this includes optimizer, and learning rate schedule. (2) Initialize the class using the optimization config. (3) Build learning rate. (... | OptimizerFactory | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptimizerFactory:
"""Optimizer factory class. This class builds learning rate and optimizer based on an optimization config. To use this class, you need to do the following: (1) Define optimization config, this includes optimizer, and learning rate schedule. (2) Initialize the class using the opt... | stack_v2_sparse_classes_10k_train_003044 | 4,835 | permissive | [
{
"docstring": "Initializing OptimizerFactory. Args: config: OptimizationConfig instance contain optimization config.",
"name": "__init__",
"signature": "def __init__(self, config: opt_cfg.OptimizationConfig)"
},
{
"docstring": "Build learning rate. Builds learning rate from config. Learning rat... | 3 | stack_v2_sparse_classes_30k_train_003616 | Implement the Python class `OptimizerFactory` described below.
Class description:
Optimizer factory class. This class builds learning rate and optimizer based on an optimization config. To use this class, you need to do the following: (1) Define optimization config, this includes optimizer, and learning rate schedule.... | Implement the Python class `OptimizerFactory` described below.
Class description:
Optimizer factory class. This class builds learning rate and optimizer based on an optimization config. To use this class, you need to do the following: (1) Define optimization config, this includes optimizer, and learning rate schedule.... | ad48842549b61e171254cf4a895239022ef509d4 | <|skeleton|>
class OptimizerFactory:
"""Optimizer factory class. This class builds learning rate and optimizer based on an optimization config. To use this class, you need to do the following: (1) Define optimization config, this includes optimizer, and learning rate schedule. (2) Initialize the class using the opt... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OptimizerFactory:
"""Optimizer factory class. This class builds learning rate and optimizer based on an optimization config. To use this class, you need to do the following: (1) Define optimization config, this includes optimizer, and learning rate schedule. (2) Initialize the class using the optimization con... | the_stack_v2_python_sparse | ImageClassification-Resnet_50/TensorFlow2/source/resnet/include/modeling/optimization/optimizer_factory.py | tbd-ai/tbd-suite | train | 51 |
d11d8dcf65bca64afdb191aa0f74f6bb242330fd | [
"DebugObject.__init__(self, 'AntialiasingManager')\nself.pipeline = pipeline\nself.jitter = False\nself.jitterOffsets = []\nself.jitterIndex = 0\nself.jitterPTA = PTAVecBase2f.emptyArray(1)\nself.create()",
"technique = self.pipeline.settings.antialiasingTechnique\nif technique not in self.availableTechniques:\n ... | <|body_start_0|>
DebugObject.__init__(self, 'AntialiasingManager')
self.pipeline = pipeline
self.jitter = False
self.jitterOffsets = []
self.jitterIndex = 0
self.jitterPTA = PTAVecBase2f.emptyArray(1)
self.create()
<|end_body_0|>
<|body_start_1|>
techniqu... | The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every second frame, and then merged with the previous... | AntialiasingManager | [
"WTFPL"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AntialiasingManager:
"""The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every ... | stack_v2_sparse_classes_10k_train_003045 | 3,455 | permissive | [
{
"docstring": "Creates the manager and directly setups the passes",
"name": "__init__",
"signature": "def __init__(self, pipeline)"
},
{
"docstring": "Setups the antialiasing passes, and also computes the jitter offsets",
"name": "create",
"signature": "def create(self)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_000080 | Implement the Python class `AntialiasingManager` described below.
Class description:
The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame ... | Implement the Python class `AntialiasingManager` described below.
Class description:
The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame ... | 12131b115775f97927633d71832af65b99eebd09 | <|skeleton|>
class AntialiasingManager:
"""The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AntialiasingManager:
"""The Antialiasing Manager handles the setup of the antialiasing passes, if antialiasing is defined in the settings. It also handles jittering when using a temporal antialiasing technique like SMAA. When jittering is enabled, the frame is moved by half a pixel up/down every second frame,... | the_stack_v2_python_sparse | Code/AntialiasingManager.py | 2lost4u/RenderPipeline | train | 1 |
6f91d47659a9ec242d4cb42f02a6de6f1b296116 | [
"table_object = Tag.query.get_or_404(int_id)\nform = TagForm(obj=table_object)\ntemplate_return = flask.render_template('edit.html', form=form)\nreturn template_return",
"table_object = Tag.query.get_or_404(int_id)\nform = TagForm(obj=table_object)\nif form.validate_on_submit():\n form.populate_obj(table_objec... | <|body_start_0|>
table_object = Tag.query.get_or_404(int_id)
form = TagForm(obj=table_object)
template_return = flask.render_template('edit.html', form=form)
return template_return
<|end_body_0|>
<|body_start_1|>
table_object = Tag.query.get_or_404(int_id)
form = TagForm... | EditTagResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditTagResource:
def get(self, int_id):
"""Args: int_id: Returns:"""
<|body_0|>
def post(self, int_id):
"""Args: int_id: Returns:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
table_object = Tag.query.get_or_404(int_id)
form = TagForm(obj=... | stack_v2_sparse_classes_10k_train_003046 | 3,873 | no_license | [
{
"docstring": "Args: int_id: Returns:",
"name": "get",
"signature": "def get(self, int_id)"
},
{
"docstring": "Args: int_id: Returns:",
"name": "post",
"signature": "def post(self, int_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004223 | Implement the Python class `EditTagResource` described below.
Class description:
Implement the EditTagResource class.
Method signatures and docstrings:
- def get(self, int_id): Args: int_id: Returns:
- def post(self, int_id): Args: int_id: Returns: | Implement the Python class `EditTagResource` described below.
Class description:
Implement the EditTagResource class.
Method signatures and docstrings:
- def get(self, int_id): Args: int_id: Returns:
- def post(self, int_id): Args: int_id: Returns:
<|skeleton|>
class EditTagResource:
def get(self, int_id):
... | 865403e3b1717226b25c9d64aeb4c35c7220e7e3 | <|skeleton|>
class EditTagResource:
def get(self, int_id):
"""Args: int_id: Returns:"""
<|body_0|>
def post(self, int_id):
"""Args: int_id: Returns:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EditTagResource:
def get(self, int_id):
"""Args: int_id: Returns:"""
table_object = Tag.query.get_or_404(int_id)
form = TagForm(obj=table_object)
template_return = flask.render_template('edit.html', form=form)
return template_return
def post(self, int_id):
... | the_stack_v2_python_sparse | things_organizer/web_app/tags/resources.py | yeyeto2788/Things-Organizer | train | 11 | |
863692089d6ba0188cd989751005fa26eef018b4 | [
"self.detector = detector\nself.learner = ObjectTracking2DDeepSortLearner(device=device, temp_path=temp_dir)\nif not os.path.exists(os.path.join(temp_dir, model_name)):\n ObjectTracking2DDeepSortLearner.download(model_name, temp_dir)\nself.learner.load(os.path.join(temp_dir, model_name), verbose=True)\nself.brid... | <|body_start_0|>
self.detector = detector
self.learner = ObjectTracking2DDeepSortLearner(device=device, temp_path=temp_dir)
if not os.path.exists(os.path.join(temp_dir, model_name)):
ObjectTracking2DDeepSortLearner.download(model_name, temp_dir)
self.learner.load(os.path.join... | ObjectTracking2DDeepSortNode | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObjectTracking2DDeepSortNode:
def __init__(self, detector=None, input_rgb_image_topic='/usb_cam/image_raw', output_detection_topic='/opendr/objects', output_tracking_id_topic='/opendr/objects_tracking_id', output_rgb_image_topic='/opendr/image_objects_annotated', device='cuda:0', model_name='dee... | stack_v2_sparse_classes_10k_train_003047 | 9,139 | permissive | [
{
"docstring": "Creates a ROS Node for 2D object tracking :param detector: Learner to generate object detections :type detector: Learner :param input_rgb_image_topic: Topic from which we are reading the input image :type input_rgb_image_topic: str :param output_rgb_image_topic: Topic to which we are publishing ... | 3 | stack_v2_sparse_classes_30k_train_001382 | Implement the Python class `ObjectTracking2DDeepSortNode` described below.
Class description:
Implement the ObjectTracking2DDeepSortNode class.
Method signatures and docstrings:
- def __init__(self, detector=None, input_rgb_image_topic='/usb_cam/image_raw', output_detection_topic='/opendr/objects', output_tracking_id... | Implement the Python class `ObjectTracking2DDeepSortNode` described below.
Class description:
Implement the ObjectTracking2DDeepSortNode class.
Method signatures and docstrings:
- def __init__(self, detector=None, input_rgb_image_topic='/usb_cam/image_raw', output_detection_topic='/opendr/objects', output_tracking_id... | b3d6ce670cdf63469fc5766630eb295d67b3d788 | <|skeleton|>
class ObjectTracking2DDeepSortNode:
def __init__(self, detector=None, input_rgb_image_topic='/usb_cam/image_raw', output_detection_topic='/opendr/objects', output_tracking_id_topic='/opendr/objects_tracking_id', output_rgb_image_topic='/opendr/image_objects_annotated', device='cuda:0', model_name='dee... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ObjectTracking2DDeepSortNode:
def __init__(self, detector=None, input_rgb_image_topic='/usb_cam/image_raw', output_detection_topic='/opendr/objects', output_tracking_id_topic='/opendr/objects_tracking_id', output_rgb_image_topic='/opendr/image_objects_annotated', device='cuda:0', model_name='deep_sort', temp_... | the_stack_v2_python_sparse | projects/opendr_ws/src/opendr_perception/scripts/object_tracking_2d_deep_sort_node.py | opendr-eu/opendr | train | 535 | |
0be55e10dd20e645863071bdfb339a9200d36bd2 | [
"general_mapping_payload = request.data\nassert_valid(general_mapping_payload is not None, 'Request body is empty')\nmapping_utils = MappingUtils(kwargs['workspace_id'])\ngeneral_mapping = mapping_utils.create_or_update_general_mapping(general_mapping_payload)\nreturn Response(data=self.serializer_class(general_map... | <|body_start_0|>
general_mapping_payload = request.data
assert_valid(general_mapping_payload is not None, 'Request body is empty')
mapping_utils = MappingUtils(kwargs['workspace_id'])
general_mapping = mapping_utils.create_or_update_general_mapping(general_mapping_payload)
return... | General mappings | GeneralMappingView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GeneralMappingView:
"""General mappings"""
def post(self, request, *args, **kwargs):
"""Create general mappings"""
<|body_0|>
def get(self, request, *args, **kwargs):
"""Get general mappings"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
genera... | stack_v2_sparse_classes_10k_train_003048 | 5,203 | permissive | [
{
"docstring": "Create general mappings",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
},
{
"docstring": "Get general mappings",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000468 | Implement the Python class `GeneralMappingView` described below.
Class description:
General mappings
Method signatures and docstrings:
- def post(self, request, *args, **kwargs): Create general mappings
- def get(self, request, *args, **kwargs): Get general mappings | Implement the Python class `GeneralMappingView` described below.
Class description:
General mappings
Method signatures and docstrings:
- def post(self, request, *args, **kwargs): Create general mappings
- def get(self, request, *args, **kwargs): Get general mappings
<|skeleton|>
class GeneralMappingView:
"""Gene... | 53f595170a073f245b9930bfce2ca07bdf998ce3 | <|skeleton|>
class GeneralMappingView:
"""General mappings"""
def post(self, request, *args, **kwargs):
"""Create general mappings"""
<|body_0|>
def get(self, request, *args, **kwargs):
"""Get general mappings"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GeneralMappingView:
"""General mappings"""
def post(self, request, *args, **kwargs):
"""Create general mappings"""
general_mapping_payload = request.data
assert_valid(general_mapping_payload is not None, 'Request body is empty')
mapping_utils = MappingUtils(kwargs['workspa... | the_stack_v2_python_sparse | apps/mappings/views.py | Sravanksk/fyle-qbo-api | train | 0 |
d978676738ed1f4974790da615d016fce2b1a497 | [
"if n == 0:\n return list()\nreturn [self.gen_triangle_level(i) for i in range(1, n + 1, 1)]",
"if i == 1:\n return list([1])\nt = self.gen_triangle_level(i - 1)\nm = len(t) + 1\nreturn [1 if j == 0 or j == m - 1 else t[j - 1] + t[j] for j in range(0, m, 1)]"
] | <|body_start_0|>
if n == 0:
return list()
return [self.gen_triangle_level(i) for i in range(1, n + 1, 1)]
<|end_body_0|>
<|body_start_1|>
if i == 1:
return list([1])
t = self.gen_triangle_level(i - 1)
m = len(t) + 1
return [1 if j == 0 or j == m -... | Pythonic iteration over all Pascal triangle depths and node values. Implements memoization algorithm (top-down dynamic programming). Time complexity: O(n ** m) - Iterate over all triangle depths and values Space complexity: O(n ** m) - Store all intermediate triangle values | Solution | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Pythonic iteration over all Pascal triangle depths and node values. Implements memoization algorithm (top-down dynamic programming). Time complexity: O(n ** m) - Iterate over all triangle depths and values Space complexity: O(n ** m) - Store all intermediate triangle values"""
d... | stack_v2_sparse_classes_10k_train_003049 | 3,716 | permissive | [
{
"docstring": "Creates Pascal triangle to specified depth \"n\". :param int n: max depth of target Pascal triangle :return: array of all triangle levels to max depth \"n\" (inclusive) :rtype: list[list[int]]",
"name": "create_pascal_triangle",
"signature": "def create_pascal_triangle(self, n)"
},
{... | 2 | stack_v2_sparse_classes_30k_train_003928 | Implement the Python class `Solution` described below.
Class description:
Pythonic iteration over all Pascal triangle depths and node values. Implements memoization algorithm (top-down dynamic programming). Time complexity: O(n ** m) - Iterate over all triangle depths and values Space complexity: O(n ** m) - Store all... | Implement the Python class `Solution` described below.
Class description:
Pythonic iteration over all Pascal triangle depths and node values. Implements memoization algorithm (top-down dynamic programming). Time complexity: O(n ** m) - Iterate over all triangle depths and values Space complexity: O(n ** m) - Store all... | 69f90877c5466927e8b081c4268cbcda074813ec | <|skeleton|>
class Solution:
"""Pythonic iteration over all Pascal triangle depths and node values. Implements memoization algorithm (top-down dynamic programming). Time complexity: O(n ** m) - Iterate over all triangle depths and values Space complexity: O(n ** m) - Store all intermediate triangle values"""
d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
"""Pythonic iteration over all Pascal triangle depths and node values. Implements memoization algorithm (top-down dynamic programming). Time complexity: O(n ** m) - Iterate over all triangle depths and values Space complexity: O(n ** m) - Store all intermediate triangle values"""
def create_pas... | the_stack_v2_python_sparse | 0118_pascals_triangle/python_source.py | arthurdysart/LeetCode | train | 0 |
06187c02b36039b69d67b96df26d6161fbd02248 | [
"n = len(ratings)\nres = [1] * n\nmin_index = ratings.index(min(ratings))\nfor i in range(min_index + 1, n):\n if ratings[i] > ratings[i - 1]:\n res[i] = res[i - 1] + 1\n else:\n j = i\n while ratings[j] < ratings[j - 1]:\n res[j - 1] = max(res[j - 1], res[j] + 1)\n ... | <|body_start_0|>
n = len(ratings)
res = [1] * n
min_index = ratings.index(min(ratings))
for i in range(min_index + 1, n):
if ratings[i] > ratings[i - 1]:
res[i] = res[i - 1] + 1
else:
j = i
while ratings[j] < ratings... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
<|body_0|>
def candy3(self, ratings):
"""先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tm... | stack_v2_sparse_classes_10k_train_003050 | 2,881 | no_license | [
{
"docstring": "和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int",
"name": "candy",
"signature": "def candy(self, ratings)"
},
{
"docstring": "先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tmp[i]和tmp[i+1]+1，如果... | 2 | stack_v2_sparse_classes_30k_val_000291 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def candy(self, ratings): 和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int
- def candy3(self, ratings): 先给每个人一个糖，初始化tmp数组为额外糖果。... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def candy(self, ratings): 和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int
- def candy3(self, ratings): 先给每个人一个糖，初始化tmp数组为额外糖果。... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
<|body_0|>
def candy3(self, ratings):
"""先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tm... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
n = len(ratings)
res = [1] * n
min_index = ratings.index(min(ratings))
for i in range(min_index + 1, n):
if ratings[... | the_stack_v2_python_sparse | 135_分发糖果.py | lovehhf/LeetCode | train | 0 | |
593463b05855cb3ebffac5c7ec4c9ca85eaba891 | [
"super().__init__()\nself._name = name\nself._cities = cities\nself._overhead_queue = queue",
"for i, city in enumerate(self._cities, start=1):\n overhead_time = city_processor.ISSDataRequest.get_overhead_pass(city)\n logging.info('Producer %d is adding to the queue', self._name)\n self._overhead_queue.p... | <|body_start_0|>
super().__init__()
self._name = name
self._cities = cities
self._overhead_queue = queue
<|end_body_0|>
<|body_start_1|>
for i, city in enumerate(self._cities, start=1):
overhead_time = city_processor.ISSDataRequest.get_overhead_pass(city)
... | ProducerThread | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProducerThread:
def __init__(self, cities: list, queue: CityOverheadTimeQueue, name: int):
"""This method initializes the class with a list of City Objects as well as a CityOverheadTimeQueue. :param cities: list(City) :param queue: CityOverheadTimeQueue :return: None"""
<|body_0|... | stack_v2_sparse_classes_10k_train_003051 | 5,647 | no_license | [
{
"docstring": "This method initializes the class with a list of City Objects as well as a CityOverheadTimeQueue. :param cities: list(City) :param queue: CityOverheadTimeQueue :return: None",
"name": "__init__",
"signature": "def __init__(self, cities: list, queue: CityOverheadTimeQueue, name: int)"
}... | 2 | stack_v2_sparse_classes_30k_train_004860 | Implement the Python class `ProducerThread` described below.
Class description:
Implement the ProducerThread class.
Method signatures and docstrings:
- def __init__(self, cities: list, queue: CityOverheadTimeQueue, name: int): This method initializes the class with a list of City Objects as well as a CityOverheadTime... | Implement the Python class `ProducerThread` described below.
Class description:
Implement the ProducerThread class.
Method signatures and docstrings:
- def __init__(self, cities: list, queue: CityOverheadTimeQueue, name: int): This method initializes the class with a list of City Objects as well as a CityOverheadTime... | 5fbc92a7ddd9103076a7095124b5ae108b002f03 | <|skeleton|>
class ProducerThread:
def __init__(self, cities: list, queue: CityOverheadTimeQueue, name: int):
"""This method initializes the class with a list of City Objects as well as a CityOverheadTimeQueue. :param cities: list(City) :param queue: CityOverheadTimeQueue :return: None"""
<|body_0|... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ProducerThread:
def __init__(self, cities: list, queue: CityOverheadTimeQueue, name: int):
"""This method initializes the class with a list of City Objects as well as a CityOverheadTimeQueue. :param cities: list(City) :param queue: CityOverheadTimeQueue :return: None"""
super().__init__()
... | the_stack_v2_python_sparse | Labs/Lab10/producer_consumer.py | pyopoly/3522_A00699267 | train | 0 | |
fc27da7ef49611c0fca60abbda49fe7d11d60a84 | [
"if retry_on_exception is None:\n retry_on_exception = (Exception,)\n\ndef decorator(func):\n\n @functools.wraps(func)\n async def wrapper(*args, **kwargs):\n attempt = 0\n result = None\n while attempt <= stop_max_attempt_number:\n try:\n result = await func(... | <|body_start_0|>
if retry_on_exception is None:
retry_on_exception = (Exception,)
def decorator(func):
@functools.wraps(func)
async def wrapper(*args, **kwargs):
attempt = 0
result = None
while attempt <= stop_max_atte... | Utility class for async functions. | AsyncUtils | [
"Python-2.0",
"GPL-1.0-or-later",
"MPL-2.0",
"MIT",
"LicenseRef-scancode-python-cwi",
"BSD-3-Clause",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-free-unknown",
"Apache-2.0",
"MIT-0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AsyncUtils:
"""Utility class for async functions."""
def async_retry(stop_max_attempt_number=5, wait_fixed=1, retry_on_exception=None):
"""Decorate an async coroutine function to retry its execution when an exception is risen. :param stop_max_attempt_number: Max number of retries. :p... | stack_v2_sparse_classes_10k_train_003052 | 19,599 | permissive | [
{
"docstring": "Decorate an async coroutine function to retry its execution when an exception is risen. :param stop_max_attempt_number: Max number of retries. :param wait_fixed: Wait time (in seconds) between retries. :param retry_on_exception: Exception to retry on. :return:",
"name": "async_retry",
"s... | 3 | stack_v2_sparse_classes_30k_train_004958 | Implement the Python class `AsyncUtils` described below.
Class description:
Utility class for async functions.
Method signatures and docstrings:
- def async_retry(stop_max_attempt_number=5, wait_fixed=1, retry_on_exception=None): Decorate an async coroutine function to retry its execution when an exception is risen. ... | Implement the Python class `AsyncUtils` described below.
Class description:
Utility class for async functions.
Method signatures and docstrings:
- def async_retry(stop_max_attempt_number=5, wait_fixed=1, retry_on_exception=None): Decorate an async coroutine function to retry its execution when an exception is risen. ... | a213978a09ea7fc80855bf55c539861ea95259f9 | <|skeleton|>
class AsyncUtils:
"""Utility class for async functions."""
def async_retry(stop_max_attempt_number=5, wait_fixed=1, retry_on_exception=None):
"""Decorate an async coroutine function to retry its execution when an exception is risen. :param stop_max_attempt_number: Max number of retries. :p... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AsyncUtils:
"""Utility class for async functions."""
def async_retry(stop_max_attempt_number=5, wait_fixed=1, retry_on_exception=None):
"""Decorate an async coroutine function to retry its execution when an exception is risen. :param stop_max_attempt_number: Max number of retries. :param wait_fix... | the_stack_v2_python_sparse | cli/src/pcluster/utils.py | aws/aws-parallelcluster | train | 520 |
ac4e1a8e084b67d2eefc85e10b532c49ddf7ea3d | [
"client_id = current_token.get('azp') or None\nuser_id = current_token['sub']\nusername = current_token.get('context', {}).get('user', {}).get('name')\nwith GoogleCloudManager() as g_cloud_manager:\n proxy_group_id = get_or_create_proxy_group_id()\n service_account = get_or_create_service_account(client_id=cl... | <|body_start_0|>
client_id = current_token.get('azp') or None
user_id = current_token['sub']
username = current_token.get('context', {}).get('user', {}).get('name')
with GoogleCloudManager() as g_cloud_manager:
proxy_group_id = get_or_create_proxy_group_id()
servi... | For ``/credentials/google`` endpoint. | GoogleCredentialsList | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleCredentialsList:
"""For ``/credentials/google`` endpoint."""
def get(self):
"""List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/ke... | stack_v2_sparse_classes_10k_train_003053 | 12,068 | permissive | [
{
"docstring": "List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/keys endpoint but get the expiration time from our DB .. code-block:: JavaScript { \"access_keys\":... | 4 | stack_v2_sparse_classes_30k_train_004078 | Implement the Python class `GoogleCredentialsList` described below.
Class description:
For ``/credentials/google`` endpoint.
Method signatures and docstrings:
- def get(self): List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: applicatio... | Implement the Python class `GoogleCredentialsList` described below.
Class description:
For ``/credentials/google`` endpoint.
Method signatures and docstrings:
- def get(self): List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: applicatio... | ea885f0e882d8e6bb5db7670c4025bb8e282cdfc | <|skeleton|>
class GoogleCredentialsList:
"""For ``/credentials/google`` endpoint."""
def get(self):
"""List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/ke... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GoogleCredentialsList:
"""For ``/credentials/google`` endpoint."""
def get(self):
"""List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/keys endpoint b... | the_stack_v2_python_sparse | fence/blueprints/storage_creds/google.py | uc-cdis/fence | train | 42 |
8a942f92372390414918a4d9efc95f4952995b68 | [
"res = cur = 0\nfor i, v in sorted((x for i, j in intervals for x in [[i, 1], [j, -1]])):\n cur += v\n res = max(res, cur)\nreturn res",
"l = []\nfor start, end in sorted(intervals):\n if l and l[0] <= start:\n heapq.heapreplace(l, end)\n else:\n heapq.heappush(l, end)\nreturn len(l)",
... | <|body_start_0|>
res = cur = 0
for i, v in sorted((x for i, j in intervals for x in [[i, 1], [j, -1]])):
cur += v
res = max(res, cur)
return res
<|end_body_0|>
<|body_start_1|>
l = []
for start, end in sorted(intervals):
if l and l[0] <= start... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minMeetingRooms(self, intervals):
"""골때리는 풀이. [start, 1], [end,-1] 로 만들어서 전체를 sorting한후 진행."""
<|body_0|>
def minMeetingRooms(self, intervals: List[List[int]]) -> int:
"""start range를 기준으로 sorting. heapq를 써서 진행. 처음 풀었던 방법과 다르게, start 값을 순서대로 소팅하면, 항상 맨 ... | stack_v2_sparse_classes_10k_train_003054 | 1,766 | no_license | [
{
"docstring": "골때리는 풀이. [start, 1], [end,-1] 로 만들어서 전체를 sorting한후 진행.",
"name": "minMeetingRooms",
"signature": "def minMeetingRooms(self, intervals)"
},
{
"docstring": "start range를 기준으로 sorting. heapq를 써서 진행. 처음 풀었던 방법과 다르게, start 값을 순서대로 소팅하면, 항상 맨 앞 값을 꺼내서 비교해도 그게 최선의 방법이 된다.",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_005273 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minMeetingRooms(self, intervals): 골때리는 풀이. [start, 1], [end,-1] 로 만들어서 전체를 sorting한후 진행.
- def minMeetingRooms(self, intervals: List[List[int]]) -> int: start range를 기준으로 sor... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minMeetingRooms(self, intervals): 골때리는 풀이. [start, 1], [end,-1] 로 만들어서 전체를 sorting한후 진행.
- def minMeetingRooms(self, intervals: List[List[int]]) -> int: start range를 기준으로 sor... | c26aef2a59e5cc2d9b0658b9c7386a43267ff8a1 | <|skeleton|>
class Solution:
def minMeetingRooms(self, intervals):
"""골때리는 풀이. [start, 1], [end,-1] 로 만들어서 전체를 sorting한후 진행."""
<|body_0|>
def minMeetingRooms(self, intervals: List[List[int]]) -> int:
"""start range를 기준으로 sorting. heapq를 써서 진행. 처음 풀었던 방법과 다르게, start 값을 순서대로 소팅하면, 항상 맨 ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def minMeetingRooms(self, intervals):
"""골때리는 풀이. [start, 1], [end,-1] 로 만들어서 전체를 sorting한후 진행."""
res = cur = 0
for i, v in sorted((x for i, j in intervals for x in [[i, 1], [j, -1]])):
cur += v
res = max(res, cur)
return res
def minMeeti... | the_stack_v2_python_sparse | Leetcode/253.py | hanwgyu/algorithm_problem_solving | train | 5 | |
aad76427e9121e75b08a41e78999e58238f29674 | [
"n = len(arr)\ndp = [1] * n\nnums = [(num, i) for i, num in enumerate(arr)]\nnums.sort()\nfor num, i in nums:\n pre = num\n for j in range(i + 1, min(n, i + d + 1)):\n if pre >= arr[j]:\n continue\n pre = arr[j]\n dp[j] = max(dp[j], dp[i] + 1)\n pre = num\n for j in range... | <|body_start_0|>
n = len(arr)
dp = [1] * n
nums = [(num, i) for i, num in enumerate(arr)]
nums.sort()
for num, i in nums:
pre = num
for j in range(i + 1, min(n, i + d + 1)):
if pre >= arr[j]:
continue
pre... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxJumps1(self, arr: List[int], d: int) -> int:
"""思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:"""
<|body_0|>
def maxJumps2(self, arr: List[int], d: int) -> int:
"""思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @retur... | stack_v2_sparse_classes_10k_train_003055 | 3,389 | no_license | [
{
"docstring": "思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:",
"name": "maxJumps1",
"signature": "def maxJumps1(self, arr: List[int], d: int) -> int"
},
{
"docstring": "思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:",
"name": "maxJumps2",
"sign... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxJumps1(self, arr: List[int], d: int) -> int: 思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:
- def maxJumps2(self, arr: List[int], d: int) -> int: 思路：动... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxJumps1(self, arr: List[int], d: int) -> int: 思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:
- def maxJumps2(self, arr: List[int], d: int) -> int: 思路：动... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def maxJumps1(self, arr: List[int], d: int) -> int:
"""思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:"""
<|body_0|>
def maxJumps2(self, arr: List[int], d: int) -> int:
"""思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @retur... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maxJumps1(self, arr: List[int], d: int) -> int:
"""思路：动态规划 类似最长上升子序列子序列的，每次用最矮的去更新旁边的高度 @param arr: @param d: @return:"""
n = len(arr)
dp = [1] * n
nums = [(num, i) for i, num in enumerate(arr)]
nums.sort()
for num, i in nums:
pre = num... | the_stack_v2_python_sparse | LeetCode/跳跃游戏/1340. 跳跃游戏 V.py | yiming1012/MyLeetCode | train | 2 | |
460e74a392f8586e88a120885f7cfe6c1400c525 | [
"\"\"\"\n Idea (direactly with extra spaces):\n 1. scan the matrix and store indexes of zeroes.\n 2. set rows and columns zeroes.\n \"\"\"\nm = len(matrix)\nn = len(matrix[0])\nif n == 0 or m == 0:\n return\nindexes = []\nfor i, row in enumerate(matrix):\n for j, element in enumera... | <|body_start_0|>
"""
Idea (direactly with extra spaces):
1. scan the matrix and store indexes of zeroes.
2. set rows and columns zeroes.
"""
m = len(matrix)
n = len(matrix[0])
if n == 0 or m == 0:
return
... | Solution | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def setZeroes(self, matrix) -> None:
"""Do not return anything, modify matrix in-place instead."""
<|body_0|>
def setZeroes_v2(self, matrix) -> None:
"""Idea (a constant space solution): 1. Scan the matrix. 2. If meet a zero, label the head elements of this... | stack_v2_sparse_classes_10k_train_003056 | 2,957 | permissive | [
{
"docstring": "Do not return anything, modify matrix in-place instead.",
"name": "setZeroes",
"signature": "def setZeroes(self, matrix) -> None"
},
{
"docstring": "Idea (a constant space solution): 1. Scan the matrix. 2. If meet a zero, label the head elements of this row and this column. For e... | 2 | stack_v2_sparse_classes_30k_train_000961 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def setZeroes(self, matrix) -> None: Do not return anything, modify matrix in-place instead.
- def setZeroes_v2(self, matrix) -> None: Idea (a constant space solution): 1. Scan t... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def setZeroes(self, matrix) -> None: Do not return anything, modify matrix in-place instead.
- def setZeroes_v2(self, matrix) -> None: Idea (a constant space solution): 1. Scan t... | 226cecde136531341ce23cdf88529345be1912fc | <|skeleton|>
class Solution:
def setZeroes(self, matrix) -> None:
"""Do not return anything, modify matrix in-place instead."""
<|body_0|>
def setZeroes_v2(self, matrix) -> None:
"""Idea (a constant space solution): 1. Scan the matrix. 2. If meet a zero, label the head elements of this... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def setZeroes(self, matrix) -> None:
"""Do not return anything, modify matrix in-place instead."""
"""
Idea (direactly with extra spaces):
1. scan the matrix and store indexes of zeroes.
2. set rows and columns zeroes.
"... | the_stack_v2_python_sparse | Leetcode/Intermediate/Array_and_string/73_Set_Matrix_Zeroes.py | ZR-Huang/AlgorithmsPractices | train | 1 | |
1aa9346fa138c7829dddd1202f8af83899087106 | [
"try:\n return_data = ''\n return Response(json.dumps(return_data))\nexcept Exception as e:\n return_data = {'status': '404', 'result': str(e)}\n return Response(json.dumps(return_data))",
"try:\n return_data = ''\n if type == 'log':\n return_data = RunManagerMoniter().get_view_obj_log(id... | <|body_start_0|>
try:
return_data = ''
return Response(json.dumps(return_data))
except Exception as e:
return_data = {'status': '404', 'result': str(e)}
return Response(json.dumps(return_data))
<|end_body_0|>
<|body_start_1|>
try:
retu... | RunManagerCelery | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunManagerCelery:
def post(self, request, nnid):
"""CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)"""
<|body_0|>
def get(self, request, type, id, line):
"""CRUD of workflow informat... | stack_v2_sparse_classes_10k_train_003057 | 2,345 | permissive | [
{
"docstring": "CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)",
"name": "post",
"signature": "def post(self, request, nnid)"
},
{
"docstring": "CRUD of workflow information --- # Class Name : RunManagerWorkFlo... | 4 | null | Implement the Python class `RunManagerCelery` described below.
Class description:
Implement the RunManagerCelery class.
Method signatures and docstrings:
- def post(self, request, nnid): CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet... | Implement the Python class `RunManagerCelery` described below.
Class description:
Implement the RunManagerCelery class.
Method signatures and docstrings:
- def post(self, request, nnid): CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet... | 6ad2fbc7384e4dbe7e3e63bdb44c8ce0387f4b7f | <|skeleton|>
class RunManagerCelery:
def post(self, request, nnid):
"""CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)"""
<|body_0|>
def get(self, request, type, id, line):
"""CRUD of workflow informat... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RunManagerCelery:
def post(self, request, nnid):
"""CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)"""
try:
return_data = ''
return Response(json.dumps(return_data))
except Exce... | the_stack_v2_python_sparse | api/views/runmanager_celery.py | yurimkoo/tensormsa | train | 1 | |
f53e8d47c874f62e63b8b4e7a2f1b6c2e94f4df6 | [
"results = None\ntry:\n with datastore_services.get_ndb_context():\n results = exp_services.regenerate_missing_stats_for_exploration(exp_id)\nexcept Exception as e:\n logging.exception(e)\n return result.Err((exp_id, e))\nreturn result.Ok((exp_id, results))",
"unmigrated_exploration_models = self.... | <|body_start_0|>
results = None
try:
with datastore_services.get_ndb_context():
results = exp_services.regenerate_missing_stats_for_exploration(exp_id)
except Exception as e:
logging.exception(e)
return result.Err((exp_id, e))
return re... | Job that regenerates missing exploration stats models. | RegenerateMissingExplorationStatsModelsJob | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegenerateMissingExplorationStatsModelsJob:
"""Job that regenerates missing exploration stats models."""
def _regenerate_stats_models(exp_id: str, unused_exp_model: exp_models.ExplorationModel) -> result.Result[Tuple[str, exp_domain.Exploration], Tuple[str, Exception]]:
"""Regenerate... | stack_v2_sparse_classes_10k_train_003058 | 28,752 | permissive | [
{
"docstring": "Regenerates missing exploration stats models. Args: exp_id: str. The ID of the exploration. unused_exp_model: ExplorationModel. Exploration model. Returns: Result((str, Exploration), (str, Exception)). Result containing tuple that consists of exploration ID and either Exploration object or Excep... | 2 | null | Implement the Python class `RegenerateMissingExplorationStatsModelsJob` described below.
Class description:
Job that regenerates missing exploration stats models.
Method signatures and docstrings:
- def _regenerate_stats_models(exp_id: str, unused_exp_model: exp_models.ExplorationModel) -> result.Result[Tuple[str, ex... | Implement the Python class `RegenerateMissingExplorationStatsModelsJob` described below.
Class description:
Job that regenerates missing exploration stats models.
Method signatures and docstrings:
- def _regenerate_stats_models(exp_id: str, unused_exp_model: exp_models.ExplorationModel) -> result.Result[Tuple[str, ex... | d16fdf23d790eafd63812bd7239532256e30a21d | <|skeleton|>
class RegenerateMissingExplorationStatsModelsJob:
"""Job that regenerates missing exploration stats models."""
def _regenerate_stats_models(exp_id: str, unused_exp_model: exp_models.ExplorationModel) -> result.Result[Tuple[str, exp_domain.Exploration], Tuple[str, Exception]]:
"""Regenerate... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RegenerateMissingExplorationStatsModelsJob:
"""Job that regenerates missing exploration stats models."""
def _regenerate_stats_models(exp_id: str, unused_exp_model: exp_models.ExplorationModel) -> result.Result[Tuple[str, exp_domain.Exploration], Tuple[str, Exception]]:
"""Regenerates missing exp... | the_stack_v2_python_sparse | core/jobs/batch_jobs/exp_migration_jobs.py | oppia/oppia | train | 6,172 |
e1a26068dc36d530a8f438911f57a4c1742df913 | [
"Block.__init__(self, scenario, args)\nself.to = None\nself.path = None\nself.add_to_name = None\nif 'to' in args:\n self.to = args['to']\nelif 'path' in args:\n self.path = args['path']\nelif 'add_to_name' in args:\n self.add_to_name = args['add_to_name']",
"if self.to:\n return self.to\nif self.path... | <|body_start_0|>
Block.__init__(self, scenario, args)
self.to = None
self.path = None
self.add_to_name = None
if 'to' in args:
self.to = args['to']
elif 'path' in args:
self.path = args['path']
elif 'add_to_name' in args:
self.a... | Base block for output writing. | BaseWriter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseWriter:
"""Base block for output writing."""
def __init__(self, scenario, args):
"""Empty constructor (just call the base constructor)"""
<|body_0|>
def get_output_file_name(self, doc):
"""Create an output file name for the given document."""
<|body_1... | stack_v2_sparse_classes_10k_train_003059 | 1,836 | permissive | [
{
"docstring": "Empty constructor (just call the base constructor)",
"name": "__init__",
"signature": "def __init__(self, scenario, args)"
},
{
"docstring": "Create an output file name for the given document.",
"name": "get_output_file_name",
"signature": "def get_output_file_name(self, ... | 2 | stack_v2_sparse_classes_30k_train_007122 | Implement the Python class `BaseWriter` described below.
Class description:
Base block for output writing.
Method signatures and docstrings:
- def __init__(self, scenario, args): Empty constructor (just call the base constructor)
- def get_output_file_name(self, doc): Create an output file name for the given document... | Implement the Python class `BaseWriter` described below.
Class description:
Base block for output writing.
Method signatures and docstrings:
- def __init__(self, scenario, args): Empty constructor (just call the base constructor)
- def get_output_file_name(self, doc): Create an output file name for the given document... | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | <|skeleton|>
class BaseWriter:
"""Base block for output writing."""
def __init__(self, scenario, args):
"""Empty constructor (just call the base constructor)"""
<|body_0|>
def get_output_file_name(self, doc):
"""Create an output file name for the given document."""
<|body_1... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BaseWriter:
"""Base block for output writing."""
def __init__(self, scenario, args):
"""Empty constructor (just call the base constructor)"""
Block.__init__(self, scenario, args)
self.to = None
self.path = None
self.add_to_name = None
if 'to' in args:
... | the_stack_v2_python_sparse | alex/components/nlg/tectotpl/block/write/basewriter.py | oplatek/alex | train | 0 |
bab1fe6877936cafc715e912e4bb3274e57f362a | [
"s, h = common.service_json_request(self.ipaddr, self.port, 'GET', self.URI_VPOOL_SHOW.format(vpooltype, uri), None)\no = common.json_decode(s)\nif o['inactive']:\n return None\nreturn o",
"if common.is_uri(name):\n return name\ns, h = common.service_json_request(self.ipaddr, self.port, 'GET', self.URI_VPOO... | <|body_start_0|>
s, h = common.service_json_request(self.ipaddr, self.port, 'GET', self.URI_VPOOL_SHOW.format(vpooltype, uri), None)
o = common.json_decode(s)
if o['inactive']:
return None
return o
<|end_body_0|>
<|body_start_1|>
if common.is_uri(name):
r... | VirtualPool | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VirtualPool:
def vpool_show_uri(self, vpooltype, uri):
"""Makes REST API call and retrieves vpool details based on UUID. This function will take uri as input and returns with all parameters of VPOOL like label, urn and type. :param vpooltype : Type of virtual pool {'block'} :param uri : ... | stack_v2_sparse_classes_10k_train_003060 | 2,887 | permissive | [
{
"docstring": "Makes REST API call and retrieves vpool details based on UUID. This function will take uri as input and returns with all parameters of VPOOL like label, urn and type. :param vpooltype : Type of virtual pool {'block'} :param uri : unique resource identifier of the vpool :returns: object containin... | 2 | stack_v2_sparse_classes_30k_test_000266 | Implement the Python class `VirtualPool` described below.
Class description:
Implement the VirtualPool class.
Method signatures and docstrings:
- def vpool_show_uri(self, vpooltype, uri): Makes REST API call and retrieves vpool details based on UUID. This function will take uri as input and returns with all parameter... | Implement the Python class `VirtualPool` described below.
Class description:
Implement the VirtualPool class.
Method signatures and docstrings:
- def vpool_show_uri(self, vpooltype, uri): Makes REST API call and retrieves vpool details based on UUID. This function will take uri as input and returns with all parameter... | f8f1a4fe4a6da6e77d5dbff4f96eb123ec445230 | <|skeleton|>
class VirtualPool:
def vpool_show_uri(self, vpooltype, uri):
"""Makes REST API call and retrieves vpool details based on UUID. This function will take uri as input and returns with all parameters of VPOOL like label, urn and type. :param vpooltype : Type of virtual pool {'block'} :param uri : ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class VirtualPool:
def vpool_show_uri(self, vpooltype, uri):
"""Makes REST API call and retrieves vpool details based on UUID. This function will take uri as input and returns with all parameters of VPOOL like label, urn and type. :param vpooltype : Type of virtual pool {'block'} :param uri : unique resourc... | the_stack_v2_python_sparse | cinder/volume/drivers/coprhd/helpers/virtualpool.py | Nexenta/cinder | train | 3 | |
ca0956cc76016c6774af349bf4816c1a06b735a6 | [
"Inventory.__init__(self, inventory_info)\nself.brand = brand\nself.voltage = voltage",
"output_dict = Inventory.return_as_dictionary(self)\noutput_dict['brand'] = self.brand\noutput_dict['voltage'] = self.voltage\nreturn output_dict"
] | <|body_start_0|>
Inventory.__init__(self, inventory_info)
self.brand = brand
self.voltage = voltage
<|end_body_0|>
<|body_start_1|>
output_dict = Inventory.return_as_dictionary(self)
output_dict['brand'] = self.brand
output_dict['voltage'] = self.voltage
return o... | Creates a class that handles data on electric appliances | ElectricAppliances | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElectricAppliances:
"""Creates a class that handles data on electric appliances"""
def __init__(self, inventory_info, brand, voltage):
"""Initializes the class info"""
<|body_0|>
def return_as_dictionary(self):
"""Returns a dictionary of the appliance information... | stack_v2_sparse_classes_10k_train_003061 | 724 | no_license | [
{
"docstring": "Initializes the class info",
"name": "__init__",
"signature": "def __init__(self, inventory_info, brand, voltage)"
},
{
"docstring": "Returns a dictionary of the appliance information",
"name": "return_as_dictionary",
"signature": "def return_as_dictionary(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007000 | Implement the Python class `ElectricAppliances` described below.
Class description:
Creates a class that handles data on electric appliances
Method signatures and docstrings:
- def __init__(self, inventory_info, brand, voltage): Initializes the class info
- def return_as_dictionary(self): Returns a dictionary of the ... | Implement the Python class `ElectricAppliances` described below.
Class description:
Creates a class that handles data on electric appliances
Method signatures and docstrings:
- def __init__(self, inventory_info, brand, voltage): Initializes the class info
- def return_as_dictionary(self): Returns a dictionary of the ... | 5dac60f39e3909ff05b26721d602ed20f14d6be3 | <|skeleton|>
class ElectricAppliances:
"""Creates a class that handles data on electric appliances"""
def __init__(self, inventory_info, brand, voltage):
"""Initializes the class info"""
<|body_0|>
def return_as_dictionary(self):
"""Returns a dictionary of the appliance information... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ElectricAppliances:
"""Creates a class that handles data on electric appliances"""
def __init__(self, inventory_info, brand, voltage):
"""Initializes the class info"""
Inventory.__init__(self, inventory_info)
self.brand = brand
self.voltage = voltage
def return_as_dic... | the_stack_v2_python_sparse | students/dfspray/Lesson01/inventory_management/electric_appliances_class.py | JavaRod/SP_Python220B_2019 | train | 1 |
61c4a7646c8cc0c477a84dc3446ee4e6df7d488e | [
"try:\n response = super(APIBaseView, self).dispatch_request(request, *args, **kwargs)\n if isawaitable(response):\n response = await response\nexcept Exception as exception:\n response = await self.handle_exception(exception)\nreturn response",
"if isinstance(exception, ValidationError):\n res... | <|body_start_0|>
try:
response = super(APIBaseView, self).dispatch_request(request, *args, **kwargs)
if isawaitable(response):
response = await response
except Exception as exception:
response = await self.handle_exception(exception)
return res... | 扩展 class based view, 增加异常处理 | APIBaseView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class APIBaseView:
"""扩展 class based view, 增加异常处理"""
async def dispatch_request(self, request, *args, **kwargs):
"""扩展 http 请求的分发, 添加错误处理"""
<|body_0|>
async def handle_exception(self, exception):
"""处理异常 ValidationError, APIException: 返回适当的错误信息 else: 重新抛出异常"""
... | stack_v2_sparse_classes_10k_train_003062 | 3,695 | no_license | [
{
"docstring": "扩展 http 请求的分发, 添加错误处理",
"name": "dispatch_request",
"signature": "async def dispatch_request(self, request, *args, **kwargs)"
},
{
"docstring": "处理异常 ValidationError, APIException: 返回适当的错误信息 else: 重新抛出异常",
"name": "handle_exception",
"signature": "async def handle_excepti... | 2 | stack_v2_sparse_classes_30k_train_003416 | Implement the Python class `APIBaseView` described below.
Class description:
扩展 class based view, 增加异常处理
Method signatures and docstrings:
- async def dispatch_request(self, request, *args, **kwargs): 扩展 http 请求的分发, 添加错误处理
- async def handle_exception(self, exception): 处理异常 ValidationError, APIException: 返回适当的错误信息 el... | Implement the Python class `APIBaseView` described below.
Class description:
扩展 class based view, 增加异常处理
Method signatures and docstrings:
- async def dispatch_request(self, request, *args, **kwargs): 扩展 http 请求的分发, 添加错误处理
- async def handle_exception(self, exception): 处理异常 ValidationError, APIException: 返回适当的错误信息 el... | 8b8a0684de8e7fcdf0c229b05816cf7cbd5909f2 | <|skeleton|>
class APIBaseView:
"""扩展 class based view, 增加异常处理"""
async def dispatch_request(self, request, *args, **kwargs):
"""扩展 http 请求的分发, 添加错误处理"""
<|body_0|>
async def handle_exception(self, exception):
"""处理异常 ValidationError, APIException: 返回适当的错误信息 else: 重新抛出异常"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class APIBaseView:
"""扩展 class based view, 增加异常处理"""
async def dispatch_request(self, request, *args, **kwargs):
"""扩展 http 请求的分发, 添加错误处理"""
try:
response = super(APIBaseView, self).dispatch_request(request, *args, **kwargs)
if isawaitable(response):
resp... | the_stack_v2_python_sparse | src/views/utils.py | Kingvast/qrcode_web | train | 1 |
6b6035f266aa5ace5cd2f7ec54030f257c50eded | [
"for i in range(1, len(s)):\n if s[i] != '1':\n return set(s[i:]) == {'0'}\nreturn True",
"sum_ = abs(goal - sum(nums))\nif sum_ == 0:\n return 0\nn = sum_ // limit\nm = sum_ % limit\nif m == 0:\n return n\nelse:\n return 1 + n"
] | <|body_start_0|>
for i in range(1, len(s)):
if s[i] != '1':
return set(s[i:]) == {'0'}
return True
<|end_body_0|>
<|body_start_1|>
sum_ = abs(goal - sum(nums))
if sum_ == 0:
return 0
n = sum_ // limit
m = sum_ % limit
if m ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def checkOnesSegment(self, s: str) -> bool:
"""给你一个二进制字符串 s ，该字符串 不含前导零 。 如果 s 最多包含 一个由连续的 '1' 组成的字段 ，返回 true 。否则，返回 false 。 :param s: :return:"""
<|body_0|>
def minElements(self, nums: List[int], limit: int, goal: int) -> int:
"""给你一个整数数组 nums ，和两个整数 li... | stack_v2_sparse_classes_10k_train_003063 | 2,524 | no_license | [
{
"docstring": "给你一个二进制字符串 s ，该字符串 不含前导零 。 如果 s 最多包含 一个由连续的 '1' 组成的字段 ，返回 true 。否则，返回 false 。 :param s: :return:",
"name": "checkOnesSegment",
"signature": "def checkOnesSegment(self, s: str) -> bool"
},
{
"docstring": "给你一个整数数组 nums ，和两个整数 limit 与 goal 。数组 nums 有一条重要属性：abs(nums[i]) <= limit ... | 2 | stack_v2_sparse_classes_30k_train_003465 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def checkOnesSegment(self, s: str) -> bool: 给你一个二进制字符串 s ，该字符串 不含前导零 。 如果 s 最多包含 一个由连续的 '1' 组成的字段 ，返回 true 。否则，返回 false 。 :param s: :return:
- def minElements(self, nums: List... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def checkOnesSegment(self, s: str) -> bool: 给你一个二进制字符串 s ，该字符串 不含前导零 。 如果 s 最多包含 一个由连续的 '1' 组成的字段 ，返回 true 。否则，返回 false 。 :param s: :return:
- def minElements(self, nums: List... | 330330ef6bc42eeb17f4dea53c30d230506b4e8f | <|skeleton|>
class Solution:
def checkOnesSegment(self, s: str) -> bool:
"""给你一个二进制字符串 s ，该字符串 不含前导零 。 如果 s 最多包含 一个由连续的 '1' 组成的字段 ，返回 true 。否则，返回 false 。 :param s: :return:"""
<|body_0|>
def minElements(self, nums: List[int], limit: int, goal: int) -> int:
"""给你一个整数数组 nums ，和两个整数 li... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def checkOnesSegment(self, s: str) -> bool:
"""给你一个二进制字符串 s ，该字符串 不含前导零 。 如果 s 最多包含 一个由连续的 '1' 组成的字段 ，返回 true 。否则，返回 false 。 :param s: :return:"""
for i in range(1, len(s)):
if s[i] != '1':
return set(s[i:]) == {'0'}
return True
def minElem... | the_stack_v2_python_sparse | Code/weekly_contest/Week_231.py | NiceToMeeetU/ToGetReady | train | 0 | |
774802594ebff12fd1bd1818c2d74cf7e8c32f7f | [
"if left == right:\n if self.nums[self.new_index(left)] == self.target:\n print(left, self.new_index(left))\n return self.new_index(left)\n print(-1)\n return -1\nmid = left + right >> 1\nif self.nums[self.new_index(mid)] == self.target:\n print(mid, self.new_index(mid))\n return self.n... | <|body_start_0|>
if left == right:
if self.nums[self.new_index(left)] == self.target:
print(left, self.new_index(left))
return self.new_index(left)
print(-1)
return -1
mid = left + right >> 1
if self.nums[self.new_index(mid)] ==... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def bin_search(self, left, right):
""":param left: int :param right: int :return: int"""
<|body_0|>
def search(self, nums, target):
""":type nums: list[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if l... | stack_v2_sparse_classes_10k_train_003064 | 2,399 | no_license | [
{
"docstring": ":param left: int :param right: int :return: int",
"name": "bin_search",
"signature": "def bin_search(self, left, right)"
},
{
"docstring": ":type nums: list[int] :type target: int :rtype: int",
"name": "search",
"signature": "def search(self, nums, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001413 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def bin_search(self, left, right): :param left: int :param right: int :return: int
- def search(self, nums, target): :type nums: list[int] :type target: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def bin_search(self, left, right): :param left: int :param right: int :return: int
- def search(self, nums, target): :type nums: list[int] :type target: int :rtype: int
<|skelet... | f8f3b0cdb47ee6bb4bf9bdc7c2a983f4a882d9dd | <|skeleton|>
class Solution:
def bin_search(self, left, right):
""":param left: int :param right: int :return: int"""
<|body_0|>
def search(self, nums, target):
""":type nums: list[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def bin_search(self, left, right):
""":param left: int :param right: int :return: int"""
if left == right:
if self.nums[self.new_index(left)] == self.target:
print(left, self.new_index(left))
return self.new_index(left)
print(-1... | the_stack_v2_python_sparse | solutions/033-search-in-rotated-sorted-array/main.py | CallMeNP/leetcode | train | 0 | |
9bab21a1131de0de8332b76fa0c72b086c3f92d3 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UserExperienceAnalyticsAppHealthApplicationPerformance()",
"from .entity import Entity\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any], None]] = {'activeDeviceCount': lambda n: setattr(self, 'active_device_count', n.get_i... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UserExperienceAnalyticsAppHealthApplicationPerformance()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .entity import Entity
fields: Dict[str, Callable[[Any], N... | The user experience analytics application performance entity contains application performance details. | UserExperienceAnalyticsAppHealthApplicationPerformance | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserExperienceAnalyticsAppHealthApplicationPerformance:
"""The user experience analytics application performance entity contains application performance details."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsAppHealthApplicationPerform... | stack_v2_sparse_classes_10k_train_003065 | 5,222 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: UserExperienceAnalyticsAppHealthApplicationPerformance",
"name": "create_from_discriminator_value",
"signatu... | 3 | null | Implement the Python class `UserExperienceAnalyticsAppHealthApplicationPerformance` described below.
Class description:
The user experience analytics application performance entity contains application performance details.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[Pa... | Implement the Python class `UserExperienceAnalyticsAppHealthApplicationPerformance` described below.
Class description:
The user experience analytics application performance entity contains application performance details.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[Pa... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UserExperienceAnalyticsAppHealthApplicationPerformance:
"""The user experience analytics application performance entity contains application performance details."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsAppHealthApplicationPerform... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserExperienceAnalyticsAppHealthApplicationPerformance:
"""The user experience analytics application performance entity contains application performance details."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsAppHealthApplicationPerformance:
... | the_stack_v2_python_sparse | msgraph/generated/models/user_experience_analytics_app_health_application_performance.py | microsoftgraph/msgraph-sdk-python | train | 135 |
5d31725e2e365272579c381749a397c815d54153 | [
"try:\n validate_email(email)\nexcept ValidationError:\n raise ValueError('Invalid email address, please try again.')\nuser = self.model(email=self.normalize_email(email))\nif password:\n user.set_password(password)\nelse:\n user.set_unusable_password()\nuser.save(using=self._db)\nreturn user",
"user ... | <|body_start_0|>
try:
validate_email(email)
except ValidationError:
raise ValueError('Invalid email address, please try again.')
user = self.model(email=self.normalize_email(email))
if password:
user.set_password(password)
else:
use... | RinkUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RinkUserManager:
def create_user(self, email, password=None):
"""Creates and saves a User with the given email and password."""
<|body_0|>
def create_superuser(self, email, password):
"""Creates and saves a superuser with the given email and password."""
<|bo... | stack_v2_sparse_classes_10k_train_003066 | 9,151 | no_license | [
{
"docstring": "Creates and saves a User with the given email and password.",
"name": "create_user",
"signature": "def create_user(self, email, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email and password.",
"name": "create_superuser",
"signature": "... | 2 | stack_v2_sparse_classes_30k_train_007189 | Implement the Python class `RinkUserManager` described below.
Class description:
Implement the RinkUserManager class.
Method signatures and docstrings:
- def create_user(self, email, password=None): Creates and saves a User with the given email and password.
- def create_superuser(self, email, password): Creates and ... | Implement the Python class `RinkUserManager` described below.
Class description:
Implement the RinkUserManager class.
Method signatures and docstrings:
- def create_user(self, email, password=None): Creates and saves a User with the given email and password.
- def create_superuser(self, email, password): Creates and ... | e3eebf1a9bce85616df698f7e33a01688929fe53 | <|skeleton|>
class RinkUserManager:
def create_user(self, email, password=None):
"""Creates and saves a User with the given email and password."""
<|body_0|>
def create_superuser(self, email, password):
"""Creates and saves a superuser with the given email and password."""
<|bo... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RinkUserManager:
def create_user(self, email, password=None):
"""Creates and saves a User with the given email and password."""
try:
validate_email(email)
except ValidationError:
raise ValueError('Invalid email address, please try again.')
user = self.mo... | the_stack_v2_python_sparse | rink/users/models.py | MadisonRollerDerby/rink | train | 0 | |
d6caca973b4a6afbcfce6986451f8096d03f83d6 | [
"for row in rows:\n if str(row.product_code) == product and str(row.activity) == state:\n if chart_type == 'order':\n product_data.append(int(row.orders))\n else:\n product_data.append(int(row.units))\n break\nelse:\n product_data.append(0)",
"product_data.append(0... | <|body_start_0|>
for row in rows:
if str(row.product_code) == product and str(row.activity) == state:
if chart_type == 'order':
product_data.append(int(row.orders))
else:
product_data.append(int(row.units))
break... | Gathers data for the various pipeline related charts that show progress through the workflow for all products. | PipelineChartProc | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PipelineChartProc:
"""Gathers data for the various pipeline related charts that show progress through the workflow for all products."""
def _appendAggregate(self, rows, product, state, chart_type, product_data):
"""Append the aggregate for the requested product / state combo to the l... | stack_v2_sparse_classes_10k_train_003067 | 3,498 | no_license | [
{
"docstring": "Append the aggregate for the requested product / state combo to the list of data for the current product.",
"name": "_appendAggregate",
"signature": "def _appendAggregate(self, rows, product, state, chart_type, product_data)"
},
{
"docstring": "Append sum of the aggregates for th... | 3 | stack_v2_sparse_classes_30k_train_004695 | Implement the Python class `PipelineChartProc` described below.
Class description:
Gathers data for the various pipeline related charts that show progress through the workflow for all products.
Method signatures and docstrings:
- def _appendAggregate(self, rows, product, state, chart_type, product_data): Append the a... | Implement the Python class `PipelineChartProc` described below.
Class description:
Gathers data for the various pipeline related charts that show progress through the workflow for all products.
Method signatures and docstrings:
- def _appendAggregate(self, rows, product, state, chart_type, product_data): Append the a... | a0edcc220f5c950838c0d0a5e42ee06bb7f2c6ad | <|skeleton|>
class PipelineChartProc:
"""Gathers data for the various pipeline related charts that show progress through the workflow for all products."""
def _appendAggregate(self, rows, product, state, chart_type, product_data):
"""Append the aggregate for the requested product / state combo to the l... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PipelineChartProc:
"""Gathers data for the various pipeline related charts that show progress through the workflow for all products."""
def _appendAggregate(self, rows, product, state, chart_type, product_data):
"""Append the aggregate for the requested product / state combo to the list of data f... | the_stack_v2_python_sparse | pipelinechartproc.py | ryanlowe0/misc-python | train | 0 |
b3e87975a505a0082bf88f5c44bd6a39ca71666a | [
"super(SentinelClient, self).__init__(server, params, backend)\nself._client_write = None\nself._client_read = None\nself._connection_string = server",
"try:\n connection_params = constring.split('/')\n master_name = connection_params[0]\n servers = [host_port.split(':') for host_port in connection_param... | <|body_start_0|>
super(SentinelClient, self).__init__(server, params, backend)
self._client_write = None
self._client_read = None
self._connection_string = server
<|end_body_0|>
<|body_start_1|>
try:
connection_params = constring.split('/')
master_name = ... | Sentinel client object extending django-redis DefaultClient | SentinelClient | [
"MIT",
"LGPL-2.1-or-later",
"LGPL-3.0-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SentinelClient:
"""Sentinel client object extending django-redis DefaultClient"""
def __init__(self, server, params, backend):
"""Slightly different logic than connection to multiple Redis servers. Reserve only one write and read descriptors, as they will be closed on exit anyway."""... | stack_v2_sparse_classes_10k_train_003068 | 5,721 | permissive | [
{
"docstring": "Slightly different logic than connection to multiple Redis servers. Reserve only one write and read descriptors, as they will be closed on exit anyway.",
"name": "__init__",
"signature": "def __init__(self, server, params, backend)"
},
{
"docstring": "Parse connection string in f... | 5 | null | Implement the Python class `SentinelClient` described below.
Class description:
Sentinel client object extending django-redis DefaultClient
Method signatures and docstrings:
- def __init__(self, server, params, backend): Slightly different logic than connection to multiple Redis servers. Reserve only one write and re... | Implement the Python class `SentinelClient` described below.
Class description:
Sentinel client object extending django-redis DefaultClient
Method signatures and docstrings:
- def __init__(self, server, params, backend): Slightly different logic than connection to multiple Redis servers. Reserve only one write and re... | 2d708bd0d869d391456e0fb8d644af3b9f031acf | <|skeleton|>
class SentinelClient:
"""Sentinel client object extending django-redis DefaultClient"""
def __init__(self, server, params, backend):
"""Slightly different logic than connection to multiple Redis servers. Reserve only one write and read descriptors, as they will be closed on exit anyway."""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SentinelClient:
"""Sentinel client object extending django-redis DefaultClient"""
def __init__(self, server, params, backend):
"""Slightly different logic than connection to multiple Redis servers. Reserve only one write and read descriptors, as they will be closed on exit anyway."""
supe... | the_stack_v2_python_sparse | itsm/component/data/sentinel.py | TencentBlueKing/bk-itsm | train | 100 |
52d2f2449d0805ab45e5a5494e07e3f8921597b1 | [
"medical_image = nib.load(image_path)\nimage = medical_image.get_fdata()\nwindow_the_image = window_image(image=image, window_center=window_center, window_width=window_width)\nfunc = nib.load(image_path)\nni_img = nib.Nifti1Image(window_the_image, func.affine)\nnib.save(ni_img, os.path.join(export_dir, export_name)... | <|body_start_0|>
medical_image = nib.load(image_path)
image = medical_image.get_fdata()
window_the_image = window_image(image=image, window_center=window_center, window_width=window_width)
func = nib.load(image_path)
ni_img = nib.Nifti1Image(window_the_image, func.affine)
... | Windowing | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Windowing:
def windowing(image_path, window_center, window_width, export_dir, export_name):
"""Creates a normalized image from a given image, and optionally a ROI mask for the image. Parameters ---------- image_path : str Path to the image. window_center: int Window center is sometimes r... | stack_v2_sparse_classes_10k_train_003069 | 4,295 | no_license | [
{
"docstring": "Creates a normalized image from a given image, and optionally a ROI mask for the image. Parameters ---------- image_path : str Path to the image. window_center: int Window center is sometimes referred to as window length. window_width: int export_dir: str Folder path in which the created windowe... | 2 | stack_v2_sparse_classes_30k_train_002560 | Implement the Python class `Windowing` described below.
Class description:
Implement the Windowing class.
Method signatures and docstrings:
- def windowing(image_path, window_center, window_width, export_dir, export_name): Creates a normalized image from a given image, and optionally a ROI mask for the image. Paramet... | Implement the Python class `Windowing` described below.
Class description:
Implement the Windowing class.
Method signatures and docstrings:
- def windowing(image_path, window_center, window_width, export_dir, export_name): Creates a normalized image from a given image, and optionally a ROI mask for the image. Paramet... | fad319f2f8061ff662b16bd935abefbc0c5e176d | <|skeleton|>
class Windowing:
def windowing(image_path, window_center, window_width, export_dir, export_name):
"""Creates a normalized image from a given image, and optionally a ROI mask for the image. Parameters ---------- image_path : str Path to the image. window_center: int Window center is sometimes r... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Windowing:
def windowing(image_path, window_center, window_width, export_dir, export_name):
"""Creates a normalized image from a given image, and optionally a ROI mask for the image. Parameters ---------- image_path : str Path to the image. window_center: int Window center is sometimes referred to as ... | the_stack_v2_python_sparse | Windowing.py | youpele52/thesis | train | 2 | |
42e72d88479772d8617878918d03b759cac61933 | [
"if not prerequisites:\n return True\nindegree = [0] * numCourses\ndict = {}\nfor i in range(len(prerequisites)):\n edge = prerequisites[i]\n src = edge[1]\n dst = edge[0]\n if not dict.get(src):\n indegree[dst] += 1\n dict[src] = [dst]\n elif dst not in dict[src]:\n indegree[... | <|body_start_0|>
if not prerequisites:
return True
indegree = [0] * numCourses
dict = {}
for i in range(len(prerequisites)):
edge = prerequisites[i]
src = edge[1]
dst = edge[0]
if not dict.get(src):
indegree[dst]... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canFinishBFS(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool"""
<|body_0|>
def canFinishDFS(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rty... | stack_v2_sparse_classes_10k_train_003070 | 4,104 | no_license | [
{
"docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool",
"name": "canFinishBFS",
"signature": "def canFinishBFS(self, numCourses, prerequisites)"
},
{
"docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool",
"name": "canFinishDF... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canFinishBFS(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: bool
- def canFinishDFS(self, numCourses, prerequisites): :t... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canFinishBFS(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: bool
- def canFinishDFS(self, numCourses, prerequisites): :t... | 0584b86642dff667f5bf6b7acfbbce86a41a55b6 | <|skeleton|>
class Solution:
def canFinishBFS(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool"""
<|body_0|>
def canFinishDFS(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rty... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def canFinishBFS(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: bool"""
if not prerequisites:
return True
indegree = [0] * numCourses
dict = {}
for i in range(len(prerequisites)):
... | the_stack_v2_python_sparse | python_solution/201_210/CourseSchedule.py | CescWang1991/LeetCode-Python | train | 1 | |
c740e18d709baa471bc0f12144c76089953feeac | [
"json = self.json_parse(value)\nif json and json['source'] == self._YOUTUBE_MILESTONE_SOURCE:\n data = transforms.loads(json['data'])\n video_identifier = (data['video_id'], data['instance_id'])\n playhead_position = data['position']\n if playhead_position <= _POS_LIMIT_SECONDS and playhead_position != ... | <|body_start_0|>
json = self.json_parse(value)
if json and json['source'] == self._YOUTUBE_MILESTONE_SOURCE:
data = transforms.loads(json['data'])
video_identifier = (data['video_id'], data['instance_id'])
playhead_position = data['position']
if playhead_p... | Generates time histogram of user video engagement. Input file: EventEntity JSON file. Each event has a 'source' that defines a place in a code where the event was recorded. Each event has a 'user_id' to represent an actor who triggered the event. The event 'data' is a JSON object and its format and content depends on t... | YoutubeHistogramGenerator | [
"Apache-2.0",
"CC-BY-3.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class YoutubeHistogramGenerator:
"""Generates time histogram of user video engagement. Input file: EventEntity JSON file. Each event has a 'source' that defines a place in a code where the event was recorded. Each event has a 'user_id' to represent an actor who triggered the event. The event 'data' is ... | stack_v2_sparse_classes_10k_train_003071 | 20,093 | permissive | [
{
"docstring": "Filters out YouTube video data from EventEntity JSON file. Args: unused_key: int. line number of each EventEntity in file. value: str. instance of EventEntity extracted from file. Yields: A tuple of (video_identifier, time_position) to be passed into reduce function. Video_identifier is a tuple ... | 2 | null | Implement the Python class `YoutubeHistogramGenerator` described below.
Class description:
Generates time histogram of user video engagement. Input file: EventEntity JSON file. Each event has a 'source' that defines a place in a code where the event was recorded. Each event has a 'user_id' to represent an actor who tr... | Implement the Python class `YoutubeHistogramGenerator` described below.
Class description:
Generates time histogram of user video engagement. Input file: EventEntity JSON file. Each event has a 'source' that defines a place in a code where the event was recorded. Each event has a 'user_id' to represent an actor who tr... | 64f5ea13a8d85b9ef057dddae888a427b1396df6 | <|skeleton|>
class YoutubeHistogramGenerator:
"""Generates time histogram of user video engagement. Input file: EventEntity JSON file. Each event has a 'source' that defines a place in a code where the event was recorded. Each event has a 'user_id' to represent an actor who triggered the event. The event 'data' is ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class YoutubeHistogramGenerator:
"""Generates time histogram of user video engagement. Input file: EventEntity JSON file. Each event has a 'source' that defines a place in a code where the event was recorded. Each event has a 'user_id' to represent an actor who triggered the event. The event 'data' is a JSON object... | the_stack_v2_python_sparse | coursebuilder/tools/etl/mapreduce_examples.py | ram8647/gcb-clone-v111 | train | 1 |
87cb2b84b7fb4a62fde3925fb0de75487186f056 | [
"self.x = np.random.randint(0, 16, size=(100, 2)).astype('int64')\ny = count(self.x, 16)\nself.cum_count = np.cumsum(y).astype(self.x.dtype)\nself.out = assign_pos(self.x, self.cum_count)\nself.place = paddle.CUDAPlace(0)",
"paddle.enable_static()\nwith paddle.static.program_guard(paddle.static.Program()):\n x... | <|body_start_0|>
self.x = np.random.randint(0, 16, size=(100, 2)).astype('int64')
y = count(self.x, 16)
self.cum_count = np.cumsum(y).astype(self.x.dtype)
self.out = assign_pos(self.x, self.cum_count)
self.place = paddle.CUDAPlace(0)
<|end_body_0|>
<|body_start_1|>
paddl... | TestAssignPosAPI | TestAssignPosAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAssignPosAPI:
"""TestAssignPosAPI"""
def setUp(self):
"""setUp"""
<|body_0|>
def test_MoE_assign_pos_static(self):
"""test_MoE_assign_pos_static"""
<|body_1|>
def test_MoE_assign_pos_dygraph(self):
"""test_MoE_assign_pos_dygraph"""
... | stack_v2_sparse_classes_10k_train_003072 | 3,262 | no_license | [
{
"docstring": "setUp",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "test_MoE_assign_pos_static",
"name": "test_MoE_assign_pos_static",
"signature": "def test_MoE_assign_pos_static(self)"
},
{
"docstring": "test_MoE_assign_pos_dygraph",
"name": "test_MoE... | 3 | stack_v2_sparse_classes_30k_val_000394 | Implement the Python class `TestAssignPosAPI` described below.
Class description:
TestAssignPosAPI
Method signatures and docstrings:
- def setUp(self): setUp
- def test_MoE_assign_pos_static(self): test_MoE_assign_pos_static
- def test_MoE_assign_pos_dygraph(self): test_MoE_assign_pos_dygraph | Implement the Python class `TestAssignPosAPI` described below.
Class description:
TestAssignPosAPI
Method signatures and docstrings:
- def setUp(self): setUp
- def test_MoE_assign_pos_static(self): test_MoE_assign_pos_static
- def test_MoE_assign_pos_dygraph(self): test_MoE_assign_pos_dygraph
<|skeleton|>
class Test... | bd3790ce72a2a26611b5eda3901651b5a809348f | <|skeleton|>
class TestAssignPosAPI:
"""TestAssignPosAPI"""
def setUp(self):
"""setUp"""
<|body_0|>
def test_MoE_assign_pos_static(self):
"""test_MoE_assign_pos_static"""
<|body_1|>
def test_MoE_assign_pos_dygraph(self):
"""test_MoE_assign_pos_dygraph"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestAssignPosAPI:
"""TestAssignPosAPI"""
def setUp(self):
"""setUp"""
self.x = np.random.randint(0, 16, size=(100, 2)).astype('int64')
y = count(self.x, 16)
self.cum_count = np.cumsum(y).astype(self.x.dtype)
self.out = assign_pos(self.x, self.cum_count)
sel... | the_stack_v2_python_sparse | distributed/CE_API/case/dist_MoE_assign_pos.py | PaddlePaddle/PaddleTest | train | 42 |
63d3b2e21da89af97aa971767baa588ec0f33200 | [
"if data is None:\n if lambtha <= 0:\n raise ValueError('lambtha must be a positive value')\n self.lambtha = float(lambtha)\nelse:\n if type(data) != list:\n raise TypeError('data must be a list')\n if len(data) < 2:\n raise ValueError('data must contain multiple values')\n self.... | <|body_start_0|>
if data is None:
if lambtha <= 0:
raise ValueError('lambtha must be a positive value')
self.lambtha = float(lambtha)
else:
if type(data) != list:
raise TypeError('data must be a list')
if len(data) < 2:
... | Poisson distribution stats class | Exponential | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Exponential:
"""Poisson distribution stats class"""
def __init__(self, data=None, lambtha=1.0):
"""Initialize poisson distribution stats"""
<|body_0|>
def pdf(self, x):
"""PMF at k number of events"""
<|body_1|>
def cdf(self, x):
"""CDF at k ... | stack_v2_sparse_classes_10k_train_003073 | 1,040 | no_license | [
{
"docstring": "Initialize poisson distribution stats",
"name": "__init__",
"signature": "def __init__(self, data=None, lambtha=1.0)"
},
{
"docstring": "PMF at k number of events",
"name": "pdf",
"signature": "def pdf(self, x)"
},
{
"docstring": "CDF at k number of events",
"... | 3 | stack_v2_sparse_classes_30k_train_001428 | Implement the Python class `Exponential` described below.
Class description:
Poisson distribution stats class
Method signatures and docstrings:
- def __init__(self, data=None, lambtha=1.0): Initialize poisson distribution stats
- def pdf(self, x): PMF at k number of events
- def cdf(self, x): CDF at k number of event... | Implement the Python class `Exponential` described below.
Class description:
Poisson distribution stats class
Method signatures and docstrings:
- def __init__(self, data=None, lambtha=1.0): Initialize poisson distribution stats
- def pdf(self, x): PMF at k number of events
- def cdf(self, x): CDF at k number of event... | a51fbcb76dae9281ff34ace0fb762ef899b4c380 | <|skeleton|>
class Exponential:
"""Poisson distribution stats class"""
def __init__(self, data=None, lambtha=1.0):
"""Initialize poisson distribution stats"""
<|body_0|>
def pdf(self, x):
"""PMF at k number of events"""
<|body_1|>
def cdf(self, x):
"""CDF at k ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Exponential:
"""Poisson distribution stats class"""
def __init__(self, data=None, lambtha=1.0):
"""Initialize poisson distribution stats"""
if data is None:
if lambtha <= 0:
raise ValueError('lambtha must be a positive value')
self.lambtha = float(l... | the_stack_v2_python_sparse | math/0x03-probability/exponential.py | Diegokernel/holbertonschool-machine_learning | train | 0 |
7d949e7d1134bf651771606bf91fbb00001c7b16 | [
"self.ids.lblText.text = 'Check des servos'\ntime.sleep(0.5)\nself.tabServo = axControl.checkAllServo(14)",
"self.ids.lblText.text = 'En mouvement'\ntime.sleep(0.5)\naxControl.doFullMouvement(filename, 0.015)\nself.ids.lblText.text = 'En attente'\ntime.sleep(0.5)",
"self.Check()\nself.ids.lblText.text = 'Progra... | <|body_start_0|>
self.ids.lblText.text = 'Check des servos'
time.sleep(0.5)
self.tabServo = axControl.checkAllServo(14)
<|end_body_0|>
<|body_start_1|>
self.ids.lblText.text = 'En mouvement'
time.sleep(0.5)
axControl.doFullMouvement(filename, 0.015)
self.ids.lblT... | Menu principal de l'interface utilisateur | Menu | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Menu:
"""Menu principal de l'interface utilisateur"""
def Check(self):
"""Check tous les servos connectes et stock la valeur dans tabServo"""
<|body_0|>
def StartMouvement(self, filename):
"""Demarre un mouvement enregistrer"""
<|body_1|>
def ProgMou... | stack_v2_sparse_classes_10k_train_003074 | 4,508 | no_license | [
{
"docstring": "Check tous les servos connectes et stock la valeur dans tabServo",
"name": "Check",
"signature": "def Check(self)"
},
{
"docstring": "Demarre un mouvement enregistrer",
"name": "StartMouvement",
"signature": "def StartMouvement(self, filename)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_004192 | Implement the Python class `Menu` described below.
Class description:
Menu principal de l'interface utilisateur
Method signatures and docstrings:
- def Check(self): Check tous les servos connectes et stock la valeur dans tabServo
- def StartMouvement(self, filename): Demarre un mouvement enregistrer
- def ProgMouveme... | Implement the Python class `Menu` described below.
Class description:
Menu principal de l'interface utilisateur
Method signatures and docstrings:
- def Check(self): Check tous les servos connectes et stock la valeur dans tabServo
- def StartMouvement(self, filename): Demarre un mouvement enregistrer
- def ProgMouveme... | 4ce70329a6ee107754acf3f01c3794989bf6394b | <|skeleton|>
class Menu:
"""Menu principal de l'interface utilisateur"""
def Check(self):
"""Check tous les servos connectes et stock la valeur dans tabServo"""
<|body_0|>
def StartMouvement(self, filename):
"""Demarre un mouvement enregistrer"""
<|body_1|>
def ProgMou... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Menu:
"""Menu principal de l'interface utilisateur"""
def Check(self):
"""Check tous les servos connectes et stock la valeur dans tabServo"""
self.ids.lblText.text = 'Check des servos'
time.sleep(0.5)
self.tabServo = axControl.checkAllServo(14)
def StartMouvement(self... | the_stack_v2_python_sparse | 2019 - Atom Factory/Développement/Bras_robotis/SAMFRA_RASPBERRYHUMANOIDE_2016-17/Software/R0B1/robui.py | EMBAvalais/EMBA_Eurobot | train | 0 |
85c26497b4a9ded635b3bc22c6142db31ed7bb1f | [
"self.calc_id = calc_id\nself.data_top_dir = os.path.join(tdc_Filenames.get_vis_results_dir(), 'FMCI__%s' % calc_id)\nself.particles = self.__default_particles if particles is None else particles\ntimeinfo = tdc_TimeInfo(calc_id, self.particles[0] + '.h5')\ni_ts_max = timeinfo.get_number_of_ts()\nself.default__i_ts... | <|body_start_0|>
self.calc_id = calc_id
self.data_top_dir = os.path.join(tdc_Filenames.get_vis_results_dir(), 'FMCI__%s' % calc_id)
self.particles = self.__default_particles if particles is None else particles
timeinfo = tdc_TimeInfo(calc_id, self.particles[0] + '.h5')
i_ts_max =... | Class for reading particle data from TDC simulations and creating FMCI files | tdc_FMCI_DataFiles_Maker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class tdc_FMCI_DataFiles_Maker:
"""Class for reading particle data from TDC simulations and creating FMCI files"""
def __init__(self, calc_id, particles=None, partition=None):
"""Initializes output directory name, particles, i_ts range, partition Actual calculations will be performed by ma... | stack_v2_sparse_classes_10k_train_003075 | 3,303 | no_license | [
{
"docstring": "Initializes output directory name, particles, i_ts range, partition Actual calculations will be performed by make_files(..) method",
"name": "__init__",
"signature": "def __init__(self, calc_id, particles=None, partition=None)"
},
{
"docstring": "Reads data and creates FMCI files... | 2 | null | Implement the Python class `tdc_FMCI_DataFiles_Maker` described below.
Class description:
Class for reading particle data from TDC simulations and creating FMCI files
Method signatures and docstrings:
- def __init__(self, calc_id, particles=None, partition=None): Initializes output directory name, particles, i_ts ran... | Implement the Python class `tdc_FMCI_DataFiles_Maker` described below.
Class description:
Class for reading particle data from TDC simulations and creating FMCI files
Method signatures and docstrings:
- def __init__(self, calc_id, particles=None, partition=None): Initializes output directory name, particles, i_ts ran... | 775dc841b1d8538584c8c68a5f75ae997191e685 | <|skeleton|>
class tdc_FMCI_DataFiles_Maker:
"""Class for reading particle data from TDC simulations and creating FMCI files"""
def __init__(self, calc_id, particles=None, partition=None):
"""Initializes output directory name, particles, i_ts range, partition Actual calculations will be performed by ma... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class tdc_FMCI_DataFiles_Maker:
"""Class for reading particle data from TDC simulations and creating FMCI files"""
def __init__(self, calc_id, particles=None, partition=None):
"""Initializes output directory name, particles, i_ts range, partition Actual calculations will be performed by make_files(..) ... | the_stack_v2_python_sparse | x_DataFunctions/FMCI/tdc_fmci_datafiles_maker.py | atimokhin/tdc_vis | train | 0 |
ee7b9a5d70f529cf10799604b4860d09d3292ac7 | [
"fake_cfg = mock.MagicMock()\nfake_cfg.ssh_public_key_path = self.SSH_PUBLIC_KEY_PATH\nfake_cfg.machine_type = self.MACHINE_TYPE\nfake_cfg.network = self.NETWORK\nfake_cfg.zone = self.ZONE\nfake_cfg.resolution = '{x}x{y}x32x{dpi}'.format(x=self.X_RES, y=self.Y_RES, dpi=self.DPI)\nfake_cfg.metadata_variable = self.M... | <|body_start_0|>
fake_cfg = mock.MagicMock()
fake_cfg.ssh_public_key_path = self.SSH_PUBLIC_KEY_PATH
fake_cfg.machine_type = self.MACHINE_TYPE
fake_cfg.network = self.NETWORK
fake_cfg.zone = self.ZONE
fake_cfg.resolution = '{x}x{y}x32x{dpi}'.format(x=self.X_RES, y=self.Y_... | Test CheepsComputeClient. | CheepsComputeClientTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheepsComputeClientTest:
"""Test CheepsComputeClient."""
def _GetFakeConfig(self):
"""Create a fake configuration object. Returns: A fake configuration mock object."""
<|body_0|>
def setUp(self):
"""Set up the test."""
<|body_1|>
def testCreateInstan... | stack_v2_sparse_classes_10k_train_003076 | 6,492 | permissive | [
{
"docstring": "Create a fake configuration object. Returns: A fake configuration mock object.",
"name": "_GetFakeConfig",
"signature": "def _GetFakeConfig(self)"
},
{
"docstring": "Set up the test.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test CreateI... | 4 | stack_v2_sparse_classes_30k_train_005342 | Implement the Python class `CheepsComputeClientTest` described below.
Class description:
Test CheepsComputeClient.
Method signatures and docstrings:
- def _GetFakeConfig(self): Create a fake configuration object. Returns: A fake configuration mock object.
- def setUp(self): Set up the test.
- def testCreateInstance(s... | Implement the Python class `CheepsComputeClientTest` described below.
Class description:
Test CheepsComputeClient.
Method signatures and docstrings:
- def _GetFakeConfig(self): Create a fake configuration object. Returns: A fake configuration mock object.
- def setUp(self): Set up the test.
- def testCreateInstance(s... | 78a61ca023cbf1a0cecfef8b97df2b274ac3a988 | <|skeleton|>
class CheepsComputeClientTest:
"""Test CheepsComputeClient."""
def _GetFakeConfig(self):
"""Create a fake configuration object. Returns: A fake configuration mock object."""
<|body_0|>
def setUp(self):
"""Set up the test."""
<|body_1|>
def testCreateInstan... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CheepsComputeClientTest:
"""Test CheepsComputeClient."""
def _GetFakeConfig(self):
"""Create a fake configuration object. Returns: A fake configuration mock object."""
fake_cfg = mock.MagicMock()
fake_cfg.ssh_public_key_path = self.SSH_PUBLIC_KEY_PATH
fake_cfg.machine_type... | the_stack_v2_python_sparse | tools/acloud/internal/lib/cheeps_compute_client_test.py | ZYHGOD-1/Aosp11 | train | 0 |
7ff0274a6865ec51839c177dfc1c254bb3a6a080 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Proto file describing the Campaign Bid Modifier service. Service to manage campaign bid modifiers. | CampaignBidModifierServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CampaignBidModifierServiceServicer:
"""Proto file describing the Campaign Bid Modifier service. Service to manage campaign bid modifiers."""
def GetCampaignBidModifier(self, request, context):
"""Returns the requested campaign bid modifier in full detail."""
<|body_0|>
d... | stack_v2_sparse_classes_10k_train_003077 | 5,992 | permissive | [
{
"docstring": "Returns the requested campaign bid modifier in full detail.",
"name": "GetCampaignBidModifier",
"signature": "def GetCampaignBidModifier(self, request, context)"
},
{
"docstring": "Creates, updates, or removes campaign bid modifiers. Operation statuses are returned.",
"name":... | 2 | stack_v2_sparse_classes_30k_train_003212 | Implement the Python class `CampaignBidModifierServiceServicer` described below.
Class description:
Proto file describing the Campaign Bid Modifier service. Service to manage campaign bid modifiers.
Method signatures and docstrings:
- def GetCampaignBidModifier(self, request, context): Returns the requested campaign ... | Implement the Python class `CampaignBidModifierServiceServicer` described below.
Class description:
Proto file describing the Campaign Bid Modifier service. Service to manage campaign bid modifiers.
Method signatures and docstrings:
- def GetCampaignBidModifier(self, request, context): Returns the requested campaign ... | 969eff5b6c3cec59d21191fa178cffb6270074c3 | <|skeleton|>
class CampaignBidModifierServiceServicer:
"""Proto file describing the Campaign Bid Modifier service. Service to manage campaign bid modifiers."""
def GetCampaignBidModifier(self, request, context):
"""Returns the requested campaign bid modifier in full detail."""
<|body_0|>
d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CampaignBidModifierServiceServicer:
"""Proto file describing the Campaign Bid Modifier service. Service to manage campaign bid modifiers."""
def GetCampaignBidModifier(self, request, context):
"""Returns the requested campaign bid modifier in full detail."""
context.set_code(grpc.StatusCo... | the_stack_v2_python_sparse | google/ads/google_ads/v6/proto/services/campaign_bid_modifier_service_pb2_grpc.py | VincentFritzsche/google-ads-python | train | 0 |
51c894d1a4c736e8046b8097e8fda978168833eb | [
"if label is None:\n label = title\nif info is None:\n info = title\nif c is None:\n c = current.request.controller\nif label is None:\n if t is None:\n t = '%s_%s' % (c, f)\n if m == 'create':\n label = get_crud_string(t, 'label_create')\n elif m == 'update':\n label = get_cr... | <|body_start_0|>
if label is None:
label = title
if info is None:
info = title
if c is None:
c = current.request.controller
if label is None:
if t is None:
t = '%s_%s' % (c, f)
if m == 'create':
l... | Links in form fields comments to show a form for adding a new foreign key record. | S3PopupLink | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class S3PopupLink:
"""Links in form fields comments to show a form for adding a new foreign key record."""
def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=None):
"""Constructor @param c: the target controller @param f:... | stack_v2_sparse_classes_10k_train_003078 | 26,788 | permissive | [
{
"docstring": "Constructor @param c: the target controller @param f: the target function @param t: the target table (defaults to c_f) @param m: the URL method (will be appended to args) @param args: the argument list @param vars: the request vars (format=\"popup\" will be added automatically) @param label: the... | 3 | null | Implement the Python class `S3PopupLink` described below.
Class description:
Links in form fields comments to show a form for adding a new foreign key record.
Method signatures and docstrings:
- def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=Non... | Implement the Python class `S3PopupLink` described below.
Class description:
Links in form fields comments to show a form for adding a new foreign key record.
Method signatures and docstrings:
- def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=Non... | 7ec4b959d009daf26d5ca6ce91dd9c3c0bd978d6 | <|skeleton|>
class S3PopupLink:
"""Links in form fields comments to show a form for adding a new foreign key record."""
def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=None):
"""Constructor @param c: the target controller @param f:... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class S3PopupLink:
"""Links in form fields comments to show a form for adding a new foreign key record."""
def __init__(self, label=None, c=None, f=None, t=None, m='create', args=None, vars=None, info=None, title=None, tooltip=None):
"""Constructor @param c: the target controller @param f: the target f... | the_stack_v2_python_sparse | modules/s3layouts.py | nursix/drkcm | train | 3 |
97f7abfcd6b16daa7fc082c01160cc04e44160fe | [
"ret = m\ndiff = n - m\ni = 0\nlast = 0\nx = 1\nwhile m != 0:\n if m % 2 == 1:\n last += x\n if x * 2 - last <= diff:\n ret -= x\n m >>= 1\n i += 1\n x *= 2\nreturn ret",
"ret = m\nbuff = bin(ret)[-1::-1][:-2]\ni = 0\nlast = 0\nwhile i < len(buff):\n if buff[i] == '1':\n ... | <|body_start_0|>
ret = m
diff = n - m
i = 0
last = 0
x = 1
while m != 0:
if m % 2 == 1:
last += x
if x * 2 - last <= diff:
ret -= x
m >>= 1
i += 1
x *= 2
return ret... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rangeBitwiseAnd(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_0|>
def rangeBitwiseAnd1(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ret = m
diff = n - m... | stack_v2_sparse_classes_10k_train_003079 | 1,182 | no_license | [
{
"docstring": ":type m: int :type n: int :rtype: int",
"name": "rangeBitwiseAnd",
"signature": "def rangeBitwiseAnd(self, m, n)"
},
{
"docstring": ":type m: int :type n: int :rtype: int",
"name": "rangeBitwiseAnd1",
"signature": "def rangeBitwiseAnd1(self, m, n)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rangeBitwiseAnd(self, m, n): :type m: int :type n: int :rtype: int
- def rangeBitwiseAnd1(self, m, n): :type m: int :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rangeBitwiseAnd(self, m, n): :type m: int :type n: int :rtype: int
- def rangeBitwiseAnd1(self, m, n): :type m: int :type n: int :rtype: int
<|skeleton|>
class Solution:
... | 70bdd75b6af2e1811c1beab22050c01d28d7373e | <|skeleton|>
class Solution:
def rangeBitwiseAnd(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_0|>
def rangeBitwiseAnd1(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def rangeBitwiseAnd(self, m, n):
""":type m: int :type n: int :rtype: int"""
ret = m
diff = n - m
i = 0
last = 0
x = 1
while m != 0:
if m % 2 == 1:
last += x
if x * 2 - last <= diff:
... | the_stack_v2_python_sparse | python/leetcode/201_Bitwise_AND_of_Numbers_Range.py | bobcaoge/my-code | train | 0 | |
32632a85dc78eef9588f422bb3ad2b38452baa05 | [
"if (delta_value := data.get('delta')):\n if isinstance(delta_value, str):\n if (internal_value := DISTRIBUTED_COST_INTERNAL.get(delta_value)):\n data['delta'] = internal_value\n if delta_value == 'cost':\n data['delta'] = 'cost_total'\nreturn super().to_internal_value(data)",... | <|body_start_0|>
if (delta_value := data.get('delta')):
if isinstance(delta_value, str):
if (internal_value := DISTRIBUTED_COST_INTERNAL.get(delta_value)):
data['delta'] = internal_value
if delta_value == 'cost':
data['delta'] =... | Serializer for handling query parameters. | OCPQueryParamSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OCPQueryParamSerializer:
"""Serializer for handling query parameters."""
def to_internal_value(self, data):
"""Send to internal value."""
<|body_0|>
def validate(self, data):
"""Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Vali... | stack_v2_sparse_classes_10k_train_003080 | 8,876 | permissive | [
{
"docstring": "Send to internal value.",
"name": "to_internal_value",
"signature": "def to_internal_value(self, data)"
},
{
"docstring": "Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): if field inputs are invalid",
... | 3 | null | Implement the Python class `OCPQueryParamSerializer` described below.
Class description:
Serializer for handling query parameters.
Method signatures and docstrings:
- def to_internal_value(self, data): Send to internal value.
- def validate(self, data): Validate incoming data. Args: data (Dict): data to be validated ... | Implement the Python class `OCPQueryParamSerializer` described below.
Class description:
Serializer for handling query parameters.
Method signatures and docstrings:
- def to_internal_value(self, data): Send to internal value.
- def validate(self, data): Validate incoming data. Args: data (Dict): data to be validated ... | 0416e5216eb1ec4b41c8dd4999adde218b1ab2e1 | <|skeleton|>
class OCPQueryParamSerializer:
"""Serializer for handling query parameters."""
def to_internal_value(self, data):
"""Send to internal value."""
<|body_0|>
def validate(self, data):
"""Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Vali... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OCPQueryParamSerializer:
"""Serializer for handling query parameters."""
def to_internal_value(self, data):
"""Send to internal value."""
if (delta_value := data.get('delta')):
if isinstance(delta_value, str):
if (internal_value := DISTRIBUTED_COST_INTERNAL.get... | the_stack_v2_python_sparse | koku/api/report/ocp/serializers.py | project-koku/koku | train | 225 |
dad96cbd4d7e089285f9cd78b3f95b86601ca9fe | [
"self.name = name\nself.motion_based_retention_enabled = motion_based_retention_enabled\nself.restricted_bandwidth_mode_enabled = restricted_bandwidth_mode_enabled\nself.audio_recording_enabled = audio_recording_enabled\nself.cloud_archive_enabled = cloud_archive_enabled\nself.schedule_id = schedule_id\nself.max_re... | <|body_start_0|>
self.name = name
self.motion_based_retention_enabled = motion_based_retention_enabled
self.restricted_bandwidth_mode_enabled = restricted_bandwidth_mode_enabled
self.audio_recording_enabled = audio_recording_enabled
self.cloud_archive_enabled = cloud_archive_enab... | Implementation of the 'createNetworkCameraQualityRetentionProfile' model. TODO: type model description here. Attributes: name (string): The name of the new profile. Must be unique. This parameter is required. motion_based_retention_enabled (bool): Deletes footage older than 3 days in which no motion was detected. Can b... | CreateNetworkCameraQualityRetentionProfileModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateNetworkCameraQualityRetentionProfileModel:
"""Implementation of the 'createNetworkCameraQualityRetentionProfile' model. TODO: type model description here. Attributes: name (string): The name of the new profile. Must be unique. This parameter is required. motion_based_retention_enabled (bool... | stack_v2_sparse_classes_10k_train_003081 | 4,849 | permissive | [
{
"docstring": "Constructor for the CreateNetworkCameraQualityRetentionProfileModel class",
"name": "__init__",
"signature": "def __init__(self, name=None, motion_based_retention_enabled=None, restricted_bandwidth_mode_enabled=None, audio_recording_enabled=None, cloud_archive_enabled=None, schedule_id=N... | 2 | null | Implement the Python class `CreateNetworkCameraQualityRetentionProfileModel` described below.
Class description:
Implementation of the 'createNetworkCameraQualityRetentionProfile' model. TODO: type model description here. Attributes: name (string): The name of the new profile. Must be unique. This parameter is require... | Implement the Python class `CreateNetworkCameraQualityRetentionProfileModel` described below.
Class description:
Implementation of the 'createNetworkCameraQualityRetentionProfile' model. TODO: type model description here. Attributes: name (string): The name of the new profile. Must be unique. This parameter is require... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class CreateNetworkCameraQualityRetentionProfileModel:
"""Implementation of the 'createNetworkCameraQualityRetentionProfile' model. TODO: type model description here. Attributes: name (string): The name of the new profile. Must be unique. This parameter is required. motion_based_retention_enabled (bool... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CreateNetworkCameraQualityRetentionProfileModel:
"""Implementation of the 'createNetworkCameraQualityRetentionProfile' model. TODO: type model description here. Attributes: name (string): The name of the new profile. Must be unique. This parameter is required. motion_based_retention_enabled (bool): Deletes fo... | the_stack_v2_python_sparse | meraki_sdk/models/create_network_camera_quality_retention_profile_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
17b43884f48ee17119d19e1826fff9011ceb2482 | [
"if a >= b + c or b >= a + c or c >= a + b:\n raise TriangleError\nself.a, self.b, self.c = (a, b, c)",
"distinct_edges = len(set([self.a, self.b, self.c]))\nif distinct_edges == 1:\n return TRIANGLE_KIND_EQUILATERAL\nelif distinct_edges == 2:\n return TRIANGLE_KIND_ISOSCELES\nelse:\n return TRIANGLE_... | <|body_start_0|>
if a >= b + c or b >= a + c or c >= a + b:
raise TriangleError
self.a, self.b, self.c = (a, b, c)
<|end_body_0|>
<|body_start_1|>
distinct_edges = len(set([self.a, self.b, self.c]))
if distinct_edges == 1:
return TRIANGLE_KIND_EQUILATERAL
... | A Triangle | Triangle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Triangle:
"""A Triangle"""
def __init__(self, a, b, c):
"""Create new triangle from given edges a, b and c. Raises: TriangleError: If given edges do not conform to the triangle inequality."""
<|body_0|>
def kind(self):
"""Return which kind of triangle this is."""... | stack_v2_sparse_classes_10k_train_003082 | 954 | no_license | [
{
"docstring": "Create new triangle from given edges a, b and c. Raises: TriangleError: If given edges do not conform to the triangle inequality.",
"name": "__init__",
"signature": "def __init__(self, a, b, c)"
},
{
"docstring": "Return which kind of triangle this is.",
"name": "kind",
"... | 2 | stack_v2_sparse_classes_30k_train_003832 | Implement the Python class `Triangle` described below.
Class description:
A Triangle
Method signatures and docstrings:
- def __init__(self, a, b, c): Create new triangle from given edges a, b and c. Raises: TriangleError: If given edges do not conform to the triangle inequality.
- def kind(self): Return which kind of... | Implement the Python class `Triangle` described below.
Class description:
A Triangle
Method signatures and docstrings:
- def __init__(self, a, b, c): Create new triangle from given edges a, b and c. Raises: TriangleError: If given edges do not conform to the triangle inequality.
- def kind(self): Return which kind of... | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | <|skeleton|>
class Triangle:
"""A Triangle"""
def __init__(self, a, b, c):
"""Create new triangle from given edges a, b and c. Raises: TriangleError: If given edges do not conform to the triangle inequality."""
<|body_0|>
def kind(self):
"""Return which kind of triangle this is."""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Triangle:
"""A Triangle"""
def __init__(self, a, b, c):
"""Create new triangle from given edges a, b and c. Raises: TriangleError: If given edges do not conform to the triangle inequality."""
if a >= b + c or b >= a + c or c >= a + b:
raise TriangleError
self.a, self.b... | the_stack_v2_python_sparse | all_data/exercism_data/python/triangle/c4a35fc8be7140458c7d674bd3662f2c.py | itsolutionscorp/AutoStyle-Clustering | train | 4 |
1099acb6e84b4c95dcd0779733248cdc778f5d8a | [
"self.start = start\nself.end = end\ndx = end[0] - start[0]\nif dx == 0:\n self.m = None\n self.n = None\nelse:\n self.m = float(end[1] - start[1]) / dx\n self.n = float(start[1] * end[0] - end[1] * start[0]) / dx",
"if self.m == None:\n if abs(x - self.start[0]) > 0.6:\n return False\n e... | <|body_start_0|>
self.start = start
self.end = end
dx = end[0] - start[0]
if dx == 0:
self.m = None
self.n = None
else:
self.m = float(end[1] - start[1]) / dx
self.n = float(start[1] * end[0] - end[1] * start[0]) / dx
<|end_body_0|>... | Represents a line between two points. | Segment | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Segment:
"""Represents a line between two points."""
def __init__(self, start, end):
"""Constructor. - start: An (x, y) pair with the coordinates where the line starts. - end: An (x, y) pair with the coordinates where the line ends."""
<|body_0|>
def contains_point(self,... | stack_v2_sparse_classes_10k_train_003083 | 8,303 | no_license | [
{
"docstring": "Constructor. - start: An (x, y) pair with the coordinates where the line starts. - end: An (x, y) pair with the coordinates where the line ends.",
"name": "__init__",
"signature": "def __init__(self, start, end)"
},
{
"docstring": "Determines if the point is part of the segment."... | 3 | stack_v2_sparse_classes_30k_train_002770 | Implement the Python class `Segment` described below.
Class description:
Represents a line between two points.
Method signatures and docstrings:
- def __init__(self, start, end): Constructor. - start: An (x, y) pair with the coordinates where the line starts. - end: An (x, y) pair with the coordinates where the line ... | Implement the Python class `Segment` described below.
Class description:
Represents a line between two points.
Method signatures and docstrings:
- def __init__(self, start, end): Constructor. - start: An (x, y) pair with the coordinates where the line starts. - end: An (x, y) pair with the coordinates where the line ... | 3a7762c06d1c1fd115cf6e563a45b323c78926bd | <|skeleton|>
class Segment:
"""Represents a line between two points."""
def __init__(self, start, end):
"""Constructor. - start: An (x, y) pair with the coordinates where the line starts. - end: An (x, y) pair with the coordinates where the line ends."""
<|body_0|>
def contains_point(self,... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Segment:
"""Represents a line between two points."""
def __init__(self, start, end):
"""Constructor. - start: An (x, y) pair with the coordinates where the line starts. - end: An (x, y) pair with the coordinates where the line ends."""
self.start = start
self.end = end
dx ... | the_stack_v2_python_sparse | game/framework/geometry.py | sugar-activities/4444-activity | train | 0 |
2ec589c14498750098724158d44fc12a80ec5260 | [
"BasePoller.__init__(self, config, generator)\nself.couch = None\nself._query = '/_stats'\nself._setUp()",
"try:\n couchURL = getattr(self.config, 'couchURL', None)\n if not couchURL:\n raise Exception(\"Configuration value 'couchURL' missing, can't connect to CouchDB.\")\n self.couch = CouchServe... | <|body_start_0|>
BasePoller.__init__(self, config, generator)
self.couch = None
self._query = '/_stats'
self._setUp()
<|end_body_0|>
<|body_start_1|>
try:
couchURL = getattr(self.config, 'couchURL', None)
if not couchURL:
raise Exception("... | Polling CouchDb statistics values - number of status error codes (configurable). | CouchErrorsPoller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CouchErrorsPoller:
"""Polling CouchDb statistics values - number of status error codes (configurable)."""
def __init__(self, config, generator):
"""couch - instance of CouchServer class"""
<|body_0|>
def _setUp(self):
"""Instantiate CouchServer reference. Test co... | stack_v2_sparse_classes_10k_train_003084 | 9,060 | no_license | [
{
"docstring": "couch - instance of CouchServer class",
"name": "__init__",
"signature": "def __init__(self, config, generator)"
},
{
"docstring": "Instantiate CouchServer reference. Test connection with CouchDB (first connect and retrieve attempt).",
"name": "_setUp",
"signature": "def ... | 4 | stack_v2_sparse_classes_30k_val_000407 | Implement the Python class `CouchErrorsPoller` described below.
Class description:
Polling CouchDb statistics values - number of status error codes (configurable).
Method signatures and docstrings:
- def __init__(self, config, generator): couch - instance of CouchServer class
- def _setUp(self): Instantiate CouchServ... | Implement the Python class `CouchErrorsPoller` described below.
Class description:
Polling CouchDb statistics values - number of status error codes (configurable).
Method signatures and docstrings:
- def __init__(self, config, generator): couch - instance of CouchServer class
- def _setUp(self): Instantiate CouchServ... | f4cb398de940560e40491ba676b704e1489d4682 | <|skeleton|>
class CouchErrorsPoller:
"""Polling CouchDb statistics values - number of status error codes (configurable)."""
def __init__(self, config, generator):
"""couch - instance of CouchServer class"""
<|body_0|>
def _setUp(self):
"""Instantiate CouchServer reference. Test co... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CouchErrorsPoller:
"""Polling CouchDb statistics values - number of status error codes (configurable)."""
def __init__(self, config, generator):
"""couch - instance of CouchServer class"""
BasePoller.__init__(self, config, generator)
self.couch = None
self._query = '/_stat... | the_stack_v2_python_sparse | src/python/WMComponent/AlertGenerator/Pollers/Couch.py | PerilousApricot/WMCore | train | 1 |
03a8dd03eacea4683ee3b2d017aaf8a5e64eab21 | [
"security = getSecurityManager()\nwant_referer = REQUEST['URL1'] + '/manage_owner'\ngot_referer = '%s://%s%s' % parse.urlparse(REQUEST['HTTP_REFERER'])[:3]\n__traceback_info__ = (want_referer, got_referer)\nif want_referer != got_referer or security.calledByExecutable():\n raise Unauthorized('manage_takeOwnershi... | <|body_start_0|>
security = getSecurityManager()
want_referer = REQUEST['URL1'] + '/manage_owner'
got_referer = '%s://%s%s' % parse.urlparse(REQUEST['HTTP_REFERER'])[:3]
__traceback_info__ = (want_referer, got_referer)
if want_referer != got_referer or security.calledByExecutable... | Owned | [
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Owned:
def manage_takeOwnership(self, REQUEST, RESPONSE, recursive=0):
"""Take ownership (responsibility) for an object. If 'recursive' is true, then also take ownership of all sub-objects."""
<|body_0|>
def manage_changeOwnershipType(self, explicit=1, RESPONSE=None, REQUEST... | stack_v2_sparse_classes_10k_train_003085 | 3,508 | permissive | [
{
"docstring": "Take ownership (responsibility) for an object. If 'recursive' is true, then also take ownership of all sub-objects.",
"name": "manage_takeOwnership",
"signature": "def manage_takeOwnership(self, REQUEST, RESPONSE, recursive=0)"
},
{
"docstring": "Change the type (implicit or expl... | 2 | stack_v2_sparse_classes_30k_train_001547 | Implement the Python class `Owned` described below.
Class description:
Implement the Owned class.
Method signatures and docstrings:
- def manage_takeOwnership(self, REQUEST, RESPONSE, recursive=0): Take ownership (responsibility) for an object. If 'recursive' is true, then also take ownership of all sub-objects.
- de... | Implement the Python class `Owned` described below.
Class description:
Implement the Owned class.
Method signatures and docstrings:
- def manage_takeOwnership(self, REQUEST, RESPONSE, recursive=0): Take ownership (responsibility) for an object. If 'recursive' is true, then also take ownership of all sub-objects.
- de... | c31b1c635e85a1766f2666cb0bd117337ae5fa67 | <|skeleton|>
class Owned:
def manage_takeOwnership(self, REQUEST, RESPONSE, recursive=0):
"""Take ownership (responsibility) for an object. If 'recursive' is true, then also take ownership of all sub-objects."""
<|body_0|>
def manage_changeOwnershipType(self, explicit=1, RESPONSE=None, REQUEST... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Owned:
def manage_takeOwnership(self, REQUEST, RESPONSE, recursive=0):
"""Take ownership (responsibility) for an object. If 'recursive' is true, then also take ownership of all sub-objects."""
security = getSecurityManager()
want_referer = REQUEST['URL1'] + '/manage_owner'
got_... | the_stack_v2_python_sparse | src/OFS/owner.py | zopefoundation/Zope | train | 335 | |
de8847e42af40839fc7bf4d0c550d4a922c508f3 | [
"if action.actor == self.tracked:\n return True\nif not self.actor_only and (self.tracked in action.targets.all() or self.tracked in action.related.all()):\n return True\nreturn False",
"if not TRACK_UNREAD:\n return set()\ntrackers = Tracker.objects.exclude(pk=self.pk).filter(user=self.user, last_update... | <|body_start_0|>
if action.actor == self.tracked:
return True
if not self.actor_only and (self.tracked in action.targets.all() or self.tracked in action.related.all()):
return True
return False
<|end_body_0|>
<|body_start_1|>
if not TRACK_UNREAD:
retu... | A base class for Tracker and TempTracker | TrackerBase | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrackerBase:
"""A base class for Tracker and TempTracker"""
def matches(self, action):
"""Returns true if an action is to be tracked by the Tracker object"""
<|body_0|>
def update_unread(self, already_fetched=()):
"""Retrieves the actions having occurred after th... | stack_v2_sparse_classes_10k_train_003086 | 12,849 | permissive | [
{
"docstring": "Returns true if an action is to be tracked by the Tracker object",
"name": "matches",
"signature": "def matches(self, action)"
},
{
"docstring": "Retrieves the actions having occurred after the last time the tracker was updated and mark them as unread (bulk-add to unread_actions)... | 2 | stack_v2_sparse_classes_30k_train_002420 | Implement the Python class `TrackerBase` described below.
Class description:
A base class for Tracker and TempTracker
Method signatures and docstrings:
- def matches(self, action): Returns true if an action is to be tracked by the Tracker object
- def update_unread(self, already_fetched=()): Retrieves the actions hav... | Implement the Python class `TrackerBase` described below.
Class description:
A base class for Tracker and TempTracker
Method signatures and docstrings:
- def matches(self, action): Returns true if an action is to be tracked by the Tracker object
- def update_unread(self, already_fetched=()): Retrieves the actions hav... | 014a6662b2d01673f17f8b8cb828570ad828650c | <|skeleton|>
class TrackerBase:
"""A base class for Tracker and TempTracker"""
def matches(self, action):
"""Returns true if an action is to be tracked by the Tracker object"""
<|body_0|>
def update_unread(self, already_fetched=()):
"""Retrieves the actions having occurred after th... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TrackerBase:
"""A base class for Tracker and TempTracker"""
def matches(self, action):
"""Returns true if an action is to be tracked by the Tracker object"""
if action.actor == self.tracked:
return True
if not self.actor_only and (self.tracked in action.targets.all() o... | the_stack_v2_python_sparse | actrack/models.py | tkhyn/django-actrack | train | 1 |
8c59089a4194e700ad0b78eb4f9150753f24d4e4 | [
"if type(rho) is type(1):\n self.order = rho\n self.rho = np.zeros(self.order, np.float64)\nelse:\n self.rho = np.squeeze(np.asarray(rho))\n if len(self.rho.shape) not in [0, 1]:\n raise ValueError('AR parameters must be a scalar or a vector')\n if self.rho.shape == ():\n self.rho.shape... | <|body_start_0|>
if type(rho) is type(1):
self.order = rho
self.rho = np.zeros(self.order, np.float64)
else:
self.rho = np.squeeze(np.asarray(rho))
if len(self.rho.shape) not in [0, 1]:
raise ValueError('AR parameters must be a scalar or a ... | A regression model with an AR(p) covariance structure. In terms of a LikelihoodModel, the parameters are beta, the usual regression parameters, and sigma, a scalar nuisance parameter that shows up as multiplier in front of the AR(p) covariance. The linear autoregressive process of order p--AR(p)--is defined as: TODO Ex... | ARModel | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ARModel:
"""A regression model with an AR(p) covariance structure. In terms of a LikelihoodModel, the parameters are beta, the usual regression parameters, and sigma, a scalar nuisance parameter that shows up as multiplier in front of the AR(p) covariance. The linear autoregressive process of ord... | stack_v2_sparse_classes_10k_train_003087 | 29,072 | permissive | [
{
"docstring": "Initialize AR model instance Parameters ---------- design : ndarray 2D array with design matrix rho : int or array-like If int, gives order of model, and initializes rho to zeros. If ndarray, gives initial estimate of rho. Be careful as ``ARModel(X, 1) != ARModel(X, 1.0)``.",
"name": "__init... | 3 | stack_v2_sparse_classes_30k_train_005089 | Implement the Python class `ARModel` described below.
Class description:
A regression model with an AR(p) covariance structure. In terms of a LikelihoodModel, the parameters are beta, the usual regression parameters, and sigma, a scalar nuisance parameter that shows up as multiplier in front of the AR(p) covariance. T... | Implement the Python class `ARModel` described below.
Class description:
A regression model with an AR(p) covariance structure. In terms of a LikelihoodModel, the parameters are beta, the usual regression parameters, and sigma, a scalar nuisance parameter that shows up as multiplier in front of the AR(p) covariance. T... | 7eede02471567487e454016c1e7cf637d3afac9e | <|skeleton|>
class ARModel:
"""A regression model with an AR(p) covariance structure. In terms of a LikelihoodModel, the parameters are beta, the usual regression parameters, and sigma, a scalar nuisance parameter that shows up as multiplier in front of the AR(p) covariance. The linear autoregressive process of ord... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ARModel:
"""A regression model with an AR(p) covariance structure. In terms of a LikelihoodModel, the parameters are beta, the usual regression parameters, and sigma, a scalar nuisance parameter that shows up as multiplier in front of the AR(p) covariance. The linear autoregressive process of order p--AR(p)--... | the_stack_v2_python_sparse | nipy/algorithms/statistics/models/regression.py | nipy/nipy | train | 275 |
793e9053b218a4c4ece4d609e02a50cd685bfa1b | [
"super(Conv2dSubsampling, self).__init__()\nself.conv = nn.Sequential(nn.Conv2d(in_channels=1, out_channels=odim, kernel_size=3, stride=2), nn.ReLU(), nn.Conv2d(in_channels=odim, out_channels=odim, kernel_size=3, stride=2), nn.ReLU())\nself.out = nn.Linear(odim * (((idim - 1) // 2 - 1) // 2), odim)",
"x = x.unsqu... | <|body_start_0|>
super(Conv2dSubsampling, self).__init__()
self.conv = nn.Sequential(nn.Conv2d(in_channels=1, out_channels=odim, kernel_size=3, stride=2), nn.ReLU(), nn.Conv2d(in_channels=odim, out_channels=odim, kernel_size=3, stride=2), nn.ReLU())
self.out = nn.Linear(odim * (((idim - 1) // 2 ... | Convolutional 2D subsampling (to 1/4 length). Modified from https://github.com/espnet/espnet/blob/master/espnet/nets/pytorch_backend/transformer/subsampling.py Args: idim: Input dimension. odim: Output dimension. | Conv2dSubsampling | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2dSubsampling:
"""Convolutional 2D subsampling (to 1/4 length). Modified from https://github.com/espnet/espnet/blob/master/espnet/nets/pytorch_backend/transformer/subsampling.py Args: idim: Input dimension. odim: Output dimension."""
def __init__(self, idim: int, odim: int) -> None:
... | stack_v2_sparse_classes_10k_train_003088 | 33,189 | permissive | [
{
"docstring": "Construct a Conv2dSubsampling object.",
"name": "__init__",
"signature": "def __init__(self, idim: int, odim: int) -> None"
},
{
"docstring": "Subsample x. Args: x: Input tensor of dimension (batch_size, input_length, num_features). (#batch, time, idim). Returns: torch.Tensor: Su... | 2 | stack_v2_sparse_classes_30k_train_001078 | Implement the Python class `Conv2dSubsampling` described below.
Class description:
Convolutional 2D subsampling (to 1/4 length). Modified from https://github.com/espnet/espnet/blob/master/espnet/nets/pytorch_backend/transformer/subsampling.py Args: idim: Input dimension. odim: Output dimension.
Method signatures and ... | Implement the Python class `Conv2dSubsampling` described below.
Class description:
Convolutional 2D subsampling (to 1/4 length). Modified from https://github.com/espnet/espnet/blob/master/espnet/nets/pytorch_backend/transformer/subsampling.py Args: idim: Input dimension. odim: Output dimension.
Method signatures and ... | 2dda31e14039a79b77c89bcd3bb96d52cbf60c8a | <|skeleton|>
class Conv2dSubsampling:
"""Convolutional 2D subsampling (to 1/4 length). Modified from https://github.com/espnet/espnet/blob/master/espnet/nets/pytorch_backend/transformer/subsampling.py Args: idim: Input dimension. odim: Output dimension."""
def __init__(self, idim: int, odim: int) -> None:
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Conv2dSubsampling:
"""Convolutional 2D subsampling (to 1/4 length). Modified from https://github.com/espnet/espnet/blob/master/espnet/nets/pytorch_backend/transformer/subsampling.py Args: idim: Input dimension. odim: Output dimension."""
def __init__(self, idim: int, odim: int) -> None:
"""Constr... | the_stack_v2_python_sparse | snowfall/models/transformer.py | csukuangfj/snowfall | train | 0 |
9792d99b734927d3d3597c5682b97653fe389210 | [
"if len(s) == 0:\n return 0\ni, j, ans, length, pre_set = (0, 0, 0, len(s), set(s[0]))\nfor i in range(length):\n while j + 1 < length and s[j + 1] not in pre_set:\n pre_set.add(s[j + 1])\n j += 1\n ans = max(ans, len(pre_set))\n pre_set.remove(s[i])\n if j == length:\n break\nre... | <|body_start_0|>
if len(s) == 0:
return 0
i, j, ans, length, pre_set = (0, 0, 0, len(s), set(s[0]))
for i in range(length):
while j + 1 < length and s[j + 1] not in pre_set:
pre_set.add(s[j + 1])
j += 1
ans = max(ans, len(pre_se... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) == 0:
return 0
... | stack_v2_sparse_classes_10k_train_003089 | 1,123 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001603 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def lengthOfL... | c162817f717b78997197649c084c27af48c3fd6f | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
if len(s) == 0:
return 0
i, j, ans, length, pre_set = (0, 0, 0, len(s), set(s[0]))
for i in range(length):
while j + 1 < length and s[j + 1] not in pre_set:
p... | the_stack_v2_python_sparse | Week_09/3.无重复字符的最长子串.py | dream201188/algorithm017 | train | 1 | |
deef330d6975a7ef77189a3b834ceeb97a8d0946 | [
"length = len(s)\nsize = [0 for i in range(length)]\nstack = [0 for i in range(length)]\nstackPtr = 0\nsumming = 0\nres = 0\nfor i, char in enumerate(s):\n if char == '(':\n stack[stackPtr] = i\n stackPtr += 1\n elif char == ')':\n if stackPtr > 0:\n prev = stack[stackPtr - 1]\... | <|body_start_0|>
length = len(s)
size = [0 for i in range(length)]
stack = [0 for i in range(length)]
stackPtr = 0
summing = 0
res = 0
for i, char in enumerate(s):
if char == '(':
stack[stackPtr] = i
stackPtr += 1
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def longestValidParentheses2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
length = len(s)
size = [0 for i in r... | stack_v2_sparse_classes_10k_train_003090 | 1,528 | permissive | [
{
"docstring": ":type s: str :rtype: int",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "longestValidParentheses2",
"signature": "def longestValidParentheses2(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int
- def longestValidParentheses2(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int
- def longestValidParentheses2(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def longestVal... | c8bf33af30569177c5276ffcd72a8d93ba4c402a | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def longestValidParentheses2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
length = len(s)
size = [0 for i in range(length)]
stack = [0 for i in range(length)]
stackPtr = 0
summing = 0
res = 0
for i, char in enumerate(s):
if char ... | the_stack_v2_python_sparse | 1-100/31-40/32-longestValidParenthesis/longestValidParenthesis.py | xuychen/Leetcode | train | 0 | |
79fd783e07972dd497efd314089114f536ced46f | [
"logger.info('Get a specific role by Id', data=uuid)\nrole = Role.query.get(uuid)\nreturn role_schema.jsonify(role)",
"logger.info('Update role')\nrole_obj = Role.query.get(uuid)\nif role_obj is None:\n return ({'message': 'Role not found'}, 404)\njson_data = request.get_json(force=True)\nif not json_data:\n ... | <|body_start_0|>
logger.info('Get a specific role by Id', data=uuid)
role = Role.query.get(uuid)
return role_schema.jsonify(role)
<|end_body_0|>
<|body_start_1|>
logger.info('Update role')
role_obj = Role.query.get(uuid)
if role_obj is None:
return ({'message... | Role detail funtions written | RoleDetail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RoleDetail:
"""Role detail funtions written"""
def get(self, uuid):
"""Get a specific role by id"""
<|body_0|>
def put(self, uuid):
"""Update role"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
logger.info('Get a specific role by Id', data=uuid... | stack_v2_sparse_classes_10k_train_003091 | 3,667 | no_license | [
{
"docstring": "Get a specific role by id",
"name": "get",
"signature": "def get(self, uuid)"
},
{
"docstring": "Update role",
"name": "put",
"signature": "def put(self, uuid)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005859 | Implement the Python class `RoleDetail` described below.
Class description:
Role detail funtions written
Method signatures and docstrings:
- def get(self, uuid): Get a specific role by id
- def put(self, uuid): Update role | Implement the Python class `RoleDetail` described below.
Class description:
Role detail funtions written
Method signatures and docstrings:
- def get(self, uuid): Get a specific role by id
- def put(self, uuid): Update role
<|skeleton|>
class RoleDetail:
"""Role detail funtions written"""
def get(self, uuid)... | 4dc5f5e816e3c461b8a60c5f61c7eafc08050579 | <|skeleton|>
class RoleDetail:
"""Role detail funtions written"""
def get(self, uuid):
"""Get a specific role by id"""
<|body_0|>
def put(self, uuid):
"""Update role"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RoleDetail:
"""Role detail funtions written"""
def get(self, uuid):
"""Get a specific role by id"""
logger.info('Get a specific role by Id', data=uuid)
role = Role.query.get(uuid)
return role_schema.jsonify(role)
def put(self, uuid):
"""Update role"""
... | the_stack_v2_python_sparse | app/api/role.py | ekramulmostafa/ms-auth | train | 0 |
4a0521e733d7580ef3eba6519f3e26a369b68637 | [
"super().__init__()\nself.ratio = ratio\nself.kernel_size = kernel_size\nif pooling_class == 'icosahedron':\n self.pooling_class = Icosahedron()\n self.laps = get_icosahedron_laplacians(N, depth, laplacian_type)\nelif pooling_class == 'healpix':\n self.pooling_class = Healpix()\n self.laps = get_healpix... | <|body_start_0|>
super().__init__()
self.ratio = ratio
self.kernel_size = kernel_size
if pooling_class == 'icosahedron':
self.pooling_class = Icosahedron()
self.laps = get_icosahedron_laplacians(N, depth, laplacian_type)
elif pooling_class == 'healpix':
... | Spherical GCNN Autoencoder. | SphericalUNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SphericalUNet:
"""Spherical GCNN Autoencoder."""
def __init__(self, pooling_class, N, depth, laplacian_type, kernel_size, ratio=1):
"""Initialization. Args: pooling_class (obj): One of three classes of pooling methods N (int): Number of pixels in the input image depth (int): The dept... | stack_v2_sparse_classes_10k_train_003092 | 41,403 | no_license | [
{
"docstring": "Initialization. Args: pooling_class (obj): One of three classes of pooling methods N (int): Number of pixels in the input image depth (int): The depth of the UNet, which is bounded by the N and the type of pooling kernel_size (int): chebychev polynomial degree ratio (float): Parameter for equian... | 2 | null | Implement the Python class `SphericalUNet` described below.
Class description:
Spherical GCNN Autoencoder.
Method signatures and docstrings:
- def __init__(self, pooling_class, N, depth, laplacian_type, kernel_size, ratio=1): Initialization. Args: pooling_class (obj): One of three classes of pooling methods N (int): ... | Implement the Python class `SphericalUNet` described below.
Class description:
Spherical GCNN Autoencoder.
Method signatures and docstrings:
- def __init__(self, pooling_class, N, depth, laplacian_type, kernel_size, ratio=1): Initialization. Args: pooling_class (obj): One of three classes of pooling methods N (int): ... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class SphericalUNet:
"""Spherical GCNN Autoencoder."""
def __init__(self, pooling_class, N, depth, laplacian_type, kernel_size, ratio=1):
"""Initialization. Args: pooling_class (obj): One of three classes of pooling methods N (int): Number of pixels in the input image depth (int): The dept... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SphericalUNet:
"""Spherical GCNN Autoencoder."""
def __init__(self, pooling_class, N, depth, laplacian_type, kernel_size, ratio=1):
"""Initialization. Args: pooling_class (obj): One of three classes of pooling methods N (int): Number of pixels in the input image depth (int): The depth of the UNet... | the_stack_v2_python_sparse | generated/test_deepsphere_deepsphere_pytorch.py | jansel/pytorch-jit-paritybench | train | 35 |
1b0f74feca4f6fe4f71e4405f11880a178f4e31c | [
"self.check_authenticator_managed_groups()\ngroup = self.find_group(group_name)\ndata = self.get_json_body()\nself._check_group_model(data)\nif 'users' not in data:\n raise web.HTTPError(400, 'Must specify users to add')\nself.log.info('Adding %i users to group %s', len(data['users']), group_name)\nself.log.debu... | <|body_start_0|>
self.check_authenticator_managed_groups()
group = self.find_group(group_name)
data = self.get_json_body()
self._check_group_model(data)
if 'users' not in data:
raise web.HTTPError(400, 'Must specify users to add')
self.log.info('Adding %i user... | Modify a group's user list | GroupUsersAPIHandler | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroupUsersAPIHandler:
"""Modify a group's user list"""
def post(self, group_name):
"""POST adds users to a group"""
<|body_0|>
async def delete(self, group_name):
"""DELETE removes users from a group"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_003093 | 8,154 | permissive | [
{
"docstring": "POST adds users to a group",
"name": "post",
"signature": "def post(self, group_name)"
},
{
"docstring": "DELETE removes users from a group",
"name": "delete",
"signature": "async def delete(self, group_name)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002302 | Implement the Python class `GroupUsersAPIHandler` described below.
Class description:
Modify a group's user list
Method signatures and docstrings:
- def post(self, group_name): POST adds users to a group
- async def delete(self, group_name): DELETE removes users from a group | Implement the Python class `GroupUsersAPIHandler` described below.
Class description:
Modify a group's user list
Method signatures and docstrings:
- def post(self, group_name): POST adds users to a group
- async def delete(self, group_name): DELETE removes users from a group
<|skeleton|>
class GroupUsersAPIHandler:
... | 7757dea8a463e75d8a540e85deee45c1635dd273 | <|skeleton|>
class GroupUsersAPIHandler:
"""Modify a group's user list"""
def post(self, group_name):
"""POST adds users to a group"""
<|body_0|>
async def delete(self, group_name):
"""DELETE removes users from a group"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class GroupUsersAPIHandler:
"""Modify a group's user list"""
def post(self, group_name):
"""POST adds users to a group"""
self.check_authenticator_managed_groups()
group = self.find_group(group_name)
data = self.get_json_body()
self._check_group_model(data)
if 'u... | the_stack_v2_python_sparse | jupyterhub/apihandlers/groups.py | jupyterhub/jupyterhub | train | 6,751 |
ef71b7721e9da0238a27f588c77f7059afa8a1ff | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Manages comments | CommentsServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommentsServiceServicer:
"""Manages comments"""
def CommentOnVideo(self, request, context):
"""Add a new comment to a video"""
<|body_0|>
def GetUserComments(self, request, context):
"""Get comments made by a user"""
<|body_1|>
def GetVideoComments(s... | stack_v2_sparse_classes_10k_train_003094 | 3,367 | permissive | [
{
"docstring": "Add a new comment to a video",
"name": "CommentOnVideo",
"signature": "def CommentOnVideo(self, request, context)"
},
{
"docstring": "Get comments made by a user",
"name": "GetUserComments",
"signature": "def GetUserComments(self, request, context)"
},
{
"docstrin... | 3 | stack_v2_sparse_classes_30k_train_003484 | Implement the Python class `CommentsServiceServicer` described below.
Class description:
Manages comments
Method signatures and docstrings:
- def CommentOnVideo(self, request, context): Add a new comment to a video
- def GetUserComments(self, request, context): Get comments made by a user
- def GetVideoComments(self,... | Implement the Python class `CommentsServiceServicer` described below.
Class description:
Manages comments
Method signatures and docstrings:
- def CommentOnVideo(self, request, context): Add a new comment to a video
- def GetUserComments(self, request, context): Get comments made by a user
- def GetVideoComments(self,... | 55a610c97fd53c405edb2459c2722fc03857cb83 | <|skeleton|>
class CommentsServiceServicer:
"""Manages comments"""
def CommentOnVideo(self, request, context):
"""Add a new comment to a video"""
<|body_0|>
def GetUserComments(self, request, context):
"""Get comments made by a user"""
<|body_1|>
def GetVideoComments(s... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CommentsServiceServicer:
"""Manages comments"""
def CommentOnVideo(self, request, context):
"""Add a new comment to a video"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!'... | the_stack_v2_python_sparse | killrvideo/comments/comments_service_pb2_grpc.py | krzysztof-adamski/killrvideo-python | train | 0 |
3c29634bdc27ce94bc9beb1d26a25e12fb7a2cb2 | [
"if config['lang'] != 'ja':\n raise Exception('SudachiPy tokenizer is only allowed in Japanese pipelines.')\ncheck_sudachipy()\nfrom sudachipy import tokenizer\nfrom sudachipy import dictionary\nself.tokenizer = dictionary.Dictionary().create()\nself.no_ssplit = config.get('no_ssplit', False)",
"if isinstance(... | <|body_start_0|>
if config['lang'] != 'ja':
raise Exception('SudachiPy tokenizer is only allowed in Japanese pipelines.')
check_sudachipy()
from sudachipy import tokenizer
from sudachipy import dictionary
self.tokenizer = dictionary.Dictionary().create()
self.... | SudachiPyTokenizer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SudachiPyTokenizer:
def __init__(self, config):
"""Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation."""
<|body_0|>
def process(self, document):
"""Tokenize a document with the SudachiPy tokenizer and wrap the result... | stack_v2_sparse_classes_10k_train_003095 | 2,917 | permissive | [
{
"docstring": "Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation.",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Tokenize a document with the SudachiPy tokenizer and wrap the results into a Doc object.",
... | 2 | null | Implement the Python class `SudachiPyTokenizer` described below.
Class description:
Implement the SudachiPyTokenizer class.
Method signatures and docstrings:
- def __init__(self, config): Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation.
- def process(self, document... | Implement the Python class `SudachiPyTokenizer` described below.
Class description:
Implement the SudachiPyTokenizer class.
Method signatures and docstrings:
- def __init__(self, config): Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation.
- def process(self, document... | c530c9af647d521262b56b717bcc38b0cfc5f1b8 | <|skeleton|>
class SudachiPyTokenizer:
def __init__(self, config):
"""Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation."""
<|body_0|>
def process(self, document):
"""Tokenize a document with the SudachiPy tokenizer and wrap the result... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SudachiPyTokenizer:
def __init__(self, config):
"""Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation."""
if config['lang'] != 'ja':
raise Exception('SudachiPy tokenizer is only allowed in Japanese pipelines.')
check_sudachi... | the_stack_v2_python_sparse | stanza/pipeline/external/sudachipy.py | stanfordnlp/stanza | train | 4,281 | |
4fc5b8a135c695c5b24b11096175f6145308383b | [
"\"\"\"\n :type name: str \n :rtype: int\n \"\"\"\nself.name = name",
"self.prob = prob\nself.R = R\nif self.name == 'Binomial':\n return np.where(self.prob <= 1 - self.R, 1, 0)\nelse:\n print('Not available!')\n return []"
] | <|body_start_0|>
"""
:type name: str
:rtype: int
"""
self.name = name
<|end_body_0|>
<|body_start_1|>
self.prob = prob
self.R = R
if self.name == 'Binomial':
return np.where(self.prob <= 1 - self.R, 1, 0)
else:... | Indicator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Indicator:
def __init__(self, name):
"""Constructor for this class."""
<|body_0|>
def Binary_Indicator(self, prob, R):
""":type pi: float :type R: float :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
"""
:type name: str ... | stack_v2_sparse_classes_10k_train_003096 | 771 | permissive | [
{
"docstring": "Constructor for this class.",
"name": "__init__",
"signature": "def __init__(self, name)"
},
{
"docstring": ":type pi: float :type R: float :rtype: int",
"name": "Binary_Indicator",
"signature": "def Binary_Indicator(self, prob, R)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000270 | Implement the Python class `Indicator` described below.
Class description:
Implement the Indicator class.
Method signatures and docstrings:
- def __init__(self, name): Constructor for this class.
- def Binary_Indicator(self, prob, R): :type pi: float :type R: float :rtype: int | Implement the Python class `Indicator` described below.
Class description:
Implement the Indicator class.
Method signatures and docstrings:
- def __init__(self, name): Constructor for this class.
- def Binary_Indicator(self, prob, R): :type pi: float :type R: float :rtype: int
<|skeleton|>
class Indicator:
def ... | 0517780d05443cb77ce339db1854c298b87681e3 | <|skeleton|>
class Indicator:
def __init__(self, name):
"""Constructor for this class."""
<|body_0|>
def Binary_Indicator(self, prob, R):
""":type pi: float :type R: float :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Indicator:
def __init__(self, name):
"""Constructor for this class."""
"""
:type name: str
:rtype: int
"""
self.name = name
def Binary_Indicator(self, prob, R):
""":type pi: float :type R: float :rtype: int"""
self.p... | the_stack_v2_python_sparse | brdt/Indicator.py | ericchen12377/BRDT-Python | train | 2 | |
f6bbcf5045d5fa31d858a8a296e25d7313779112 | [
"super().__init__()\nimport sklearn\nimport sklearn.naive_bayes\nself.model = sklearn.naive_bayes.MultinomialNB",
"specs = super(MultinomialNB, cls).getInputSpecification()\nspecs.description = 'The \\\\\\\\textit{MultinomialNB} classifier implements the naive Bayes algorithm for\\n multino... | <|body_start_0|>
super().__init__()
import sklearn
import sklearn.naive_bayes
self.model = sklearn.naive_bayes.MultinomialNB
<|end_body_0|>
<|body_start_1|>
specs = super(MultinomialNB, cls).getInputSpecification()
specs.description = 'The \\\\textit{MultinomialNB} class... | MultinomialNBClassifier Naive Bayes classifier for multinomial models | MultinomialNB | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultinomialNB:
"""MultinomialNBClassifier Naive Bayes classifier for multinomial models"""
def __init__(self):
"""Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None"""
<|body_0|>
def getInputSpecification(cls):
"""M... | stack_v2_sparse_classes_10k_train_003097 | 5,834 | permissive | [
{
"docstring": "Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for... | 3 | null | Implement the Python class `MultinomialNB` described below.
Class description:
MultinomialNBClassifier Naive Bayes classifier for multinomial models
Method signatures and docstrings:
- def __init__(self): Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None
- def getInput... | Implement the Python class `MultinomialNB` described below.
Class description:
MultinomialNBClassifier Naive Bayes classifier for multinomial models
Method signatures and docstrings:
- def __init__(self): Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None
- def getInput... | 2b16e7aa3325fe84cab2477947a951414c635381 | <|skeleton|>
class MultinomialNB:
"""MultinomialNBClassifier Naive Bayes classifier for multinomial models"""
def __init__(self):
"""Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None"""
<|body_0|>
def getInputSpecification(cls):
"""M... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MultinomialNB:
"""MultinomialNBClassifier Naive Bayes classifier for multinomial models"""
def __init__(self):
"""Constructor that will appropriately initialize a supervised learning object @ In, None @ Out, None"""
super().__init__()
import sklearn
import sklearn.naive_ba... | the_stack_v2_python_sparse | ravenframework/SupervisedLearning/ScikitLearn/NaiveBayes/MultinomialNBClassifier.py | idaholab/raven | train | 201 |
635c5bee25dbb5c2f14c3e1cb6c16f805c9dc727 | [
"Company = self.old_state.apps.get_model('company', 'company')\nPurchaseOrder = self.old_state.apps.get_model('order', 'purchaseorder')\nPart = self.old_state.apps.get_model('part', 'part')\nSupplierpart = self.old_state.apps.get_model('company', 'supplierpart')\nsupplier = Company.objects.create(name='Supplier A',... | <|body_start_0|>
Company = self.old_state.apps.get_model('company', 'company')
PurchaseOrder = self.old_state.apps.get_model('order', 'purchaseorder')
Part = self.old_state.apps.get_model('part', 'part')
Supplierpart = self.old_state.apps.get_model('company', 'supplierpart')
supp... | Test entire schema migration. | TestAdditionalLineMigration | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAdditionalLineMigration:
"""Test entire schema migration."""
def prepare(self):
"""Create initial data set."""
<|body_0|>
def test_po_migration(self):
"""Test that the the PO lines where converted correctly."""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_10k_train_003098 | 7,688 | permissive | [
{
"docstring": "Create initial data set.",
"name": "prepare",
"signature": "def prepare(self)"
},
{
"docstring": "Test that the the PO lines where converted correctly.",
"name": "test_po_migration",
"signature": "def test_po_migration(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005818 | Implement the Python class `TestAdditionalLineMigration` described below.
Class description:
Test entire schema migration.
Method signatures and docstrings:
- def prepare(self): Create initial data set.
- def test_po_migration(self): Test that the the PO lines where converted correctly. | Implement the Python class `TestAdditionalLineMigration` described below.
Class description:
Test entire schema migration.
Method signatures and docstrings:
- def prepare(self): Create initial data set.
- def test_po_migration(self): Test that the the PO lines where converted correctly.
<|skeleton|>
class TestAdditi... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class TestAdditionalLineMigration:
"""Test entire schema migration."""
def prepare(self):
"""Create initial data set."""
<|body_0|>
def test_po_migration(self):
"""Test that the the PO lines where converted correctly."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestAdditionalLineMigration:
"""Test entire schema migration."""
def prepare(self):
"""Create initial data set."""
Company = self.old_state.apps.get_model('company', 'company')
PurchaseOrder = self.old_state.apps.get_model('order', 'purchaseorder')
Part = self.old_state.ap... | the_stack_v2_python_sparse | InvenTree/order/test_migrations.py | inventree/InvenTree | train | 3,077 |
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_10k_train_003099 | 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_006692 | 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_10k | 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 |
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