blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e8d059f09f073f9569871df34e88dae4a05e5a90 | [
"self.pool = object()\nself.rcs = _FakeRCS()\nself.expected_kwargs = {'headers': headers('token'), 'pool': self.pool}",
"self.expected_kwargs['params'] = {'limit': 10000}\ntreq = get_fake_treq(self, 'get', 'novaurl/servers/detail', ((), self.expected_kwargs), (Response(200), '{\"servers\": {}}'))\nd = nova.list_s... | <|body_start_0|>
self.pool = object()
self.rcs = _FakeRCS()
self.expected_kwargs = {'headers': headers('token'), 'pool': self.pool}
<|end_body_0|>
<|body_start_1|>
self.expected_kwargs['params'] = {'limit': 10000}
treq = get_fake_treq(self, 'get', 'novaurl/servers/detail', ((), ... | Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`. | NovaServerCollectionTestCase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NovaServerCollectionTestCase:
"""Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`."""
def setUp(self):
"""Set up fake pool, treq, responses, and RCS."""
<|body_0|>
def test_list_servers(self):
"""Get all addresses with a particular name and... | stack_v2_sparse_classes_36k_train_028000 | 9,051 | permissive | [
{
"docstring": "Set up fake pool, treq, responses, and RCS.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Get all addresses with a particular name and succeeds on 200.",
"name": "test_list_servers",
"signature": "def test_list_servers(self)"
},
{
"docstring... | 3 | null | Implement the Python class `NovaServerCollectionTestCase` described below.
Class description:
Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`.
Method signatures and docstrings:
- def setUp(self): Set up fake pool, treq, responses, and RCS.
- def test_list_servers(self): Get all addresses with ... | Implement the Python class `NovaServerCollectionTestCase` described below.
Class description:
Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`.
Method signatures and docstrings:
- def setUp(self): Set up fake pool, treq, responses, and RCS.
- def test_list_servers(self): Get all addresses with ... | 7199cdd67255fe116dbcbedea660c13453671134 | <|skeleton|>
class NovaServerCollectionTestCase:
"""Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`."""
def setUp(self):
"""Set up fake pool, treq, responses, and RCS."""
<|body_0|>
def test_list_servers(self):
"""Get all addresses with a particular name and... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NovaServerCollectionTestCase:
"""Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`."""
def setUp(self):
"""Set up fake pool, treq, responses, and RCS."""
self.pool = object()
self.rcs = _FakeRCS()
self.expected_kwargs = {'headers': headers('token'), '... | the_stack_v2_python_sparse | otter/integration/lib/test_nova.py | rackerlabs/otter | train | 20 |
2ed00d6321641ba26d98df9508466cd849d80b7f | [
"sysmeta = req.get_container_info(self.app).get('sysmeta', {})\nelem = Element('VersioningConfiguration')\nif sysmeta.get('versions-enabled'):\n SubElement(elem, 'Status').text = 'Enabled' if config_true_value(sysmeta['versions-enabled']) else 'Suspended'\nbody = tostring(elem)\nreturn HTTPOk(body=body, content_... | <|body_start_0|>
sysmeta = req.get_container_info(self.app).get('sysmeta', {})
elem = Element('VersioningConfiguration')
if sysmeta.get('versions-enabled'):
SubElement(elem, 'Status').text = 'Enabled' if config_true_value(sysmeta['versions-enabled']) else 'Suspended'
body = t... | Handles the following APIs: * GET Bucket versioning * PUT Bucket versioning Those APIs are logged as VERSIONING operations in the S3 server log. | VersioningController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersioningController:
"""Handles the following APIs: * GET Bucket versioning * PUT Bucket versioning Those APIs are logged as VERSIONING operations in the S3 server log."""
def GET(self, req):
"""Handles GET Bucket versioning."""
<|body_0|>
def PUT(self, req):
""... | stack_v2_sparse_classes_36k_train_028001 | 2,703 | permissive | [
{
"docstring": "Handles GET Bucket versioning.",
"name": "GET",
"signature": "def GET(self, req)"
},
{
"docstring": "Handles PUT Bucket versioning.",
"name": "PUT",
"signature": "def PUT(self, req)"
}
] | 2 | null | Implement the Python class `VersioningController` described below.
Class description:
Handles the following APIs: * GET Bucket versioning * PUT Bucket versioning Those APIs are logged as VERSIONING operations in the S3 server log.
Method signatures and docstrings:
- def GET(self, req): Handles GET Bucket versioning.
... | Implement the Python class `VersioningController` described below.
Class description:
Handles the following APIs: * GET Bucket versioning * PUT Bucket versioning Those APIs are logged as VERSIONING operations in the S3 server log.
Method signatures and docstrings:
- def GET(self, req): Handles GET Bucket versioning.
... | f06e5369579599648cc78e4b556887bc6d978c2b | <|skeleton|>
class VersioningController:
"""Handles the following APIs: * GET Bucket versioning * PUT Bucket versioning Those APIs are logged as VERSIONING operations in the S3 server log."""
def GET(self, req):
"""Handles GET Bucket versioning."""
<|body_0|>
def PUT(self, req):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VersioningController:
"""Handles the following APIs: * GET Bucket versioning * PUT Bucket versioning Those APIs are logged as VERSIONING operations in the S3 server log."""
def GET(self, req):
"""Handles GET Bucket versioning."""
sysmeta = req.get_container_info(self.app).get('sysmeta', {... | the_stack_v2_python_sparse | swift/common/middleware/s3api/controllers/versioning.py | openstack/swift | train | 2,370 |
513a297965d3db04bdbaf65093dd086512482eb4 | [
"if head is None:\n return None\nslow = head.next\nif slow is None:\n return None\nfast = slow.next\nwhile slow is not None and fast is not None:\n if slow == fast:\n return fast\n slow = slow.next\n fast = fast.next\n if fast is not None:\n fast = fast.next\nreturn None",
"meet_no... | <|body_start_0|>
if head is None:
return None
slow = head.next
if slow is None:
return None
fast = slow.next
while slow is not None and fast is not None:
if slow == fast:
return fast
slow = slow.next
fast... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def meeting_node(self, head):
"""在链表存在环的前提下找到一快一慢指针相遇的结点, :param head: 链表的头结点 :return:"""
<|body_0|>
def entry_node_of_loop(self, head):
"""找到环的入口结点 :param head: 链表头结点 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if head is Non... | stack_v2_sparse_classes_36k_train_028002 | 1,932 | no_license | [
{
"docstring": "在链表存在环的前提下找到一快一慢指针相遇的结点, :param head: 链表的头结点 :return:",
"name": "meeting_node",
"signature": "def meeting_node(self, head)"
},
{
"docstring": "找到环的入口结点 :param head: 链表头结点 :return:",
"name": "entry_node_of_loop",
"signature": "def entry_node_of_loop(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015521 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def meeting_node(self, head): 在链表存在环的前提下找到一快一慢指针相遇的结点, :param head: 链表的头结点 :return:
- def entry_node_of_loop(self, head): 找到环的入口结点 :param head: 链表头结点 :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def meeting_node(self, head): 在链表存在环的前提下找到一快一慢指针相遇的结点, :param head: 链表的头结点 :return:
- def entry_node_of_loop(self, head): 找到环的入口结点 :param head: 链表头结点 :return:
<|skeleton|>
class... | 51e6d72bfc631fa96e5a8ed6e4e55cd240ad47d9 | <|skeleton|>
class Solution:
def meeting_node(self, head):
"""在链表存在环的前提下找到一快一慢指针相遇的结点, :param head: 链表的头结点 :return:"""
<|body_0|>
def entry_node_of_loop(self, head):
"""找到环的入口结点 :param head: 链表头结点 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def meeting_node(self, head):
"""在链表存在环的前提下找到一快一慢指针相遇的结点, :param head: 链表的头结点 :return:"""
if head is None:
return None
slow = head.next
if slow is None:
return None
fast = slow.next
while slow is not None and fast is not None:
... | the_stack_v2_python_sparse | 剑指Offer/23.链表中环的入口结点.py | CodingBuye/PythonForNowcoder | train | 2 | |
20a82ab062812d265f4c94c173226f782d577adf | [
"s = self.create_series()\ni = self.create_instructor()\nresponse = self.client.get(reverse('substituteTeacherForm'))\nself.assertEqual(response.status_code, 302)\nself.client.login(username=self.superuser.username, password='pass')\nresponse = self.client.get(reverse('substituteTeacherForm'))\nself.assertEqual(res... | <|body_start_0|>
s = self.create_series()
i = self.create_instructor()
response = self.client.get(reverse('substituteTeacherForm'))
self.assertEqual(response.status_code, 302)
self.client.login(username=self.superuser.username, password='pass')
response = self.client.get(... | SubstituteTeacherTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubstituteTeacherTest:
def test_subform_access(self):
"""Test that the substitute teaching form can be accessed by a superuser but not an anonymous user, and that a new instructor can report substitute teaching for a new series"""
<|body_0|>
def test_subform_submission(self)... | stack_v2_sparse_classes_36k_train_028003 | 18,088 | permissive | [
{
"docstring": "Test that the substitute teaching form can be accessed by a superuser but not an anonymous user, and that a new instructor can report substitute teaching for a new series",
"name": "test_subform_access",
"signature": "def test_subform_access(self)"
},
{
"docstring": "Report subst... | 2 | null | Implement the Python class `SubstituteTeacherTest` described below.
Class description:
Implement the SubstituteTeacherTest class.
Method signatures and docstrings:
- def test_subform_access(self): Test that the substitute teaching form can be accessed by a superuser but not an anonymous user, and that a new instructo... | Implement the Python class `SubstituteTeacherTest` described below.
Class description:
Implement the SubstituteTeacherTest class.
Method signatures and docstrings:
- def test_subform_access(self): Test that the substitute teaching form can be accessed by a superuser but not an anonymous user, and that a new instructo... | 19db3e83e76ea2002ee841989410d12d1e601023 | <|skeleton|>
class SubstituteTeacherTest:
def test_subform_access(self):
"""Test that the substitute teaching form can be accessed by a superuser but not an anonymous user, and that a new instructor can report substitute teaching for a new series"""
<|body_0|>
def test_subform_submission(self)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubstituteTeacherTest:
def test_subform_access(self):
"""Test that the substitute teaching form can be accessed by a superuser but not an anonymous user, and that a new instructor can report substitute teaching for a new series"""
s = self.create_series()
i = self.create_instructor()
... | the_stack_v2_python_sparse | danceschool/core/tests.py | django-danceschool/django-danceschool | train | 40 | |
091e2d516f68c17bda106148db12224b9bc4f2a3 | [
"self.name = name\nself.active = active\nself.events = events\nself.config = config\nself.tags = tags\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nname = dictionary.get('name')\nactive = dictionary.get('active')\nevents = dictionary.get('events')\nconfig = idfy_r... | <|body_start_0|>
self.name = name
self.active = active
self.events = events
self.config = config
self.tags = tags
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
name = dict... | Implementation of the 'WebhookUpdateDto' model. TODO: type model description here. Attributes: name (string): Display name of the webhook. active (bool): Determines whether the webhook is active or not. events (list of string): A list of events that the webhook triggers for. config (WebhookConfig): TODO: type descripti... | WebhookUpdateDto | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WebhookUpdateDto:
"""Implementation of the 'WebhookUpdateDto' model. TODO: type model description here. Attributes: name (string): Display name of the webhook. active (bool): Determines whether the webhook is active or not. events (list of string): A list of events that the webhook triggers for. ... | stack_v2_sparse_classes_36k_train_028004 | 2,903 | permissive | [
{
"docstring": "Constructor for the WebhookUpdateDto class",
"name": "__init__",
"signature": "def __init__(self, name=None, active=None, events=None, config=None, tags=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dicti... | 2 | null | Implement the Python class `WebhookUpdateDto` described below.
Class description:
Implementation of the 'WebhookUpdateDto' model. TODO: type model description here. Attributes: name (string): Display name of the webhook. active (bool): Determines whether the webhook is active or not. events (list of string): A list of... | Implement the Python class `WebhookUpdateDto` described below.
Class description:
Implementation of the 'WebhookUpdateDto' model. TODO: type model description here. Attributes: name (string): Display name of the webhook. active (bool): Determines whether the webhook is active or not. events (list of string): A list of... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class WebhookUpdateDto:
"""Implementation of the 'WebhookUpdateDto' model. TODO: type model description here. Attributes: name (string): Display name of the webhook. active (bool): Determines whether the webhook is active or not. events (list of string): A list of events that the webhook triggers for. ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WebhookUpdateDto:
"""Implementation of the 'WebhookUpdateDto' model. TODO: type model description here. Attributes: name (string): Display name of the webhook. active (bool): Determines whether the webhook is active or not. events (list of string): A list of events that the webhook triggers for. config (Webho... | the_stack_v2_python_sparse | idfy_rest_client/models/webhook_update_dto.py | dealflowteam/Idfy | train | 0 |
f91f5e32b7eaa2894e080c88b56abfb37a3eb7b7 | [
"a = [x for x in sys_stdin]\na = [self.cast(x) for x in a[0].strip('[]\\n').split(',')]\no = TreeNode().convert(a)\nreturn o",
"if x.lower() == 'null':\n return None\nelse:\n return int(x)"
] | <|body_start_0|>
a = [x for x in sys_stdin]
a = [self.cast(x) for x in a[0].strip('[]\n').split(',')]
o = TreeNode().convert(a)
return o
<|end_body_0|>
<|body_start_1|>
if x.lower() == 'null':
return None
else:
return int(x)
<|end_body_1|>
| Input | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Input:
def stdin(self, sys_stdin):
"""Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: head node of binary tree :rtype: TreeNode"""
<|body_0|>
def cast(self, x):
"""Converts string values to integer or None values. :param str x: str... | stack_v2_sparse_classes_36k_train_028005 | 2,443 | permissive | [
{
"docstring": "Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: head node of binary tree :rtype: TreeNode",
"name": "stdin",
"signature": "def stdin(self, sys_stdin)"
},
{
"docstring": "Converts string values to integer or None values. :param str x: string inp... | 2 | stack_v2_sparse_classes_30k_train_008038 | Implement the Python class `Input` described below.
Class description:
Implement the Input class.
Method signatures and docstrings:
- def stdin(self, sys_stdin): Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: head node of binary tree :rtype: TreeNode
- def cast(self, x): Converts ... | Implement the Python class `Input` described below.
Class description:
Implement the Input class.
Method signatures and docstrings:
- def stdin(self, sys_stdin): Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: head node of binary tree :rtype: TreeNode
- def cast(self, x): Converts ... | 69f90877c5466927e8b081c4268cbcda074813ec | <|skeleton|>
class Input:
def stdin(self, sys_stdin):
"""Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: head node of binary tree :rtype: TreeNode"""
<|body_0|>
def cast(self, x):
"""Converts string values to integer or None values. :param str x: str... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Input:
def stdin(self, sys_stdin):
"""Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: head node of binary tree :rtype: TreeNode"""
a = [x for x in sys_stdin]
a = [self.cast(x) for x in a[0].strip('[]\n').split(',')]
o = TreeNode().convert(a)
... | the_stack_v2_python_sparse | 0199_binary_tree_right_side_view/python_source.py | arthurdysart/LeetCode | train | 0 | |
3350b8b3eaf7c7fc966c5d43d5392108e91dc28d | [
"super(LCPController, self).__init__(manager)\nself._logger = logging.getLogger(__name__)\nself._credential_factory = LCPCredentialFactory()\nself._lcp_server_factory = LCPServerFactory()",
"self._logger.info('Started fetching an authenticated patron associated with the request')\npatron = self.authenticated_patr... | <|body_start_0|>
super(LCPController, self).__init__(manager)
self._logger = logging.getLogger(__name__)
self._credential_factory = LCPCredentialFactory()
self._lcp_server_factory = LCPServerFactory()
<|end_body_0|>
<|body_start_1|>
self._logger.info('Started fetching an authent... | Contains API endpoints related to LCP workflow | LCPController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LCPController:
"""Contains API endpoints related to LCP workflow"""
def __init__(self, manager):
"""Initializes a new instance of LCPController class :param manager: CirculationManager object :type manager: CirculationManager"""
<|body_0|>
def _get_patron(self):
... | stack_v2_sparse_classes_36k_train_028006 | 4,383 | permissive | [
{
"docstring": "Initializes a new instance of LCPController class :param manager: CirculationManager object :type manager: CirculationManager",
"name": "__init__",
"signature": "def __init__(self, manager)"
},
{
"docstring": "Returns a patron associated with the request (if any) :return: Patron ... | 6 | null | Implement the Python class `LCPController` described below.
Class description:
Contains API endpoints related to LCP workflow
Method signatures and docstrings:
- def __init__(self, manager): Initializes a new instance of LCPController class :param manager: CirculationManager object :type manager: CirculationManager
-... | Implement the Python class `LCPController` described below.
Class description:
Contains API endpoints related to LCP workflow
Method signatures and docstrings:
- def __init__(self, manager): Initializes a new instance of LCPController class :param manager: CirculationManager object :type manager: CirculationManager
-... | 662cc7e0721d0153857c8c17a37e2a6df86f8ce6 | <|skeleton|>
class LCPController:
"""Contains API endpoints related to LCP workflow"""
def __init__(self, manager):
"""Initializes a new instance of LCPController class :param manager: CirculationManager object :type manager: CirculationManager"""
<|body_0|>
def _get_patron(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LCPController:
"""Contains API endpoints related to LCP workflow"""
def __init__(self, manager):
"""Initializes a new instance of LCPController class :param manager: CirculationManager object :type manager: CirculationManager"""
super(LCPController, self).__init__(manager)
self._l... | the_stack_v2_python_sparse | api/lcp/controller.py | NYPL-Simplified/circulation | train | 20 |
acd34188a2b7e1497881100fe4b1dd1bc8a89f55 | [
"self.logger = stdlibLogging.getLogger(name)\nself.logger.findCaller = self._findCaller\nself.stackDepth = stackDepth",
"f = currentframe(self.stackDepth)\nco = f.f_code\nif _PY3:\n extra = (None,)\nelse:\n extra = ()\nreturn (co.co_filename, f.f_lineno, co.co_name) + extra",
"level = event.get('log_level... | <|body_start_0|>
self.logger = stdlibLogging.getLogger(name)
self.logger.findCaller = self._findCaller
self.stackDepth = stackDepth
<|end_body_0|>
<|body_start_1|>
f = currentframe(self.stackDepth)
co = f.f_code
if _PY3:
extra = (None,)
else:
... | Log observer that writes to the python standard library's C{logging} module. @note: Warning: specific logging configurations (example: network) can lead to this observer blocking. Nothing is done here to prevent that, so be sure to not to configure the standard library logging module to block when used in conjunction w... | STDLibLogObserver | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class STDLibLogObserver:
"""Log observer that writes to the python standard library's C{logging} module. @note: Warning: specific logging configurations (example: network) can lead to this observer blocking. Nothing is done here to prevent that, so be sure to not to configure the standard library loggi... | stack_v2_sparse_classes_36k_train_028007 | 4,611 | permissive | [
{
"docstring": "@param loggerName: logger identifier. @type loggerName: C{str} @param stackDepth: The depth of the stack to investigate for caller metadata. @type stackDepth: L{int}",
"name": "__init__",
"signature": "def __init__(self, name='twisted', stackDepth=defaultStackDepth)"
},
{
"docstr... | 3 | null | Implement the Python class `STDLibLogObserver` described below.
Class description:
Log observer that writes to the python standard library's C{logging} module. @note: Warning: specific logging configurations (example: network) can lead to this observer blocking. Nothing is done here to prevent that, so be sure to not ... | Implement the Python class `STDLibLogObserver` described below.
Class description:
Log observer that writes to the python standard library's C{logging} module. @note: Warning: specific logging configurations (example: network) can lead to this observer blocking. Nothing is done here to prevent that, so be sure to not ... | 40861791ec4ed3bbd14b07875af25cc740f76920 | <|skeleton|>
class STDLibLogObserver:
"""Log observer that writes to the python standard library's C{logging} module. @note: Warning: specific logging configurations (example: network) can lead to this observer blocking. Nothing is done here to prevent that, so be sure to not to configure the standard library loggi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class STDLibLogObserver:
"""Log observer that writes to the python standard library's C{logging} module. @note: Warning: specific logging configurations (example: network) can lead to this observer blocking. Nothing is done here to prevent that, so be sure to not to configure the standard library logging module to ... | the_stack_v2_python_sparse | stackoverflow/venv/lib/python3.6/site-packages/twisted/logger/_stdlib.py | wistbean/learn_python3_spider | train | 14,403 |
0e63f97b7092df89ea3aee68afbf12f336f4fe0f | [
"self.radius = radius\nself.x_center = x_center\nself.y_center = y_center",
"r = self.radius * math.sqrt(random.random())\ntheta = random.uniform(0, 2 * math.pi)\nreturn [self.x_center + r * math.cos(theta), self.y_center + r * math.sin(theta)]"
] | <|body_start_0|>
self.radius = radius
self.x_center = x_center
self.y_center = y_center
<|end_body_0|>
<|body_start_1|>
r = self.radius * math.sqrt(random.random())
theta = random.uniform(0, 2 * math.pi)
return [self.x_center + r * math.cos(theta), self.y_center + r * ma... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, radius, x_center, y_center):
""":type radius: float :type x_center: float :type y_center: float"""
<|body_0|>
def randPoint(self):
""":rtype: List[float]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.radius = radi... | stack_v2_sparse_classes_36k_train_028008 | 717 | permissive | [
{
"docstring": ":type radius: float :type x_center: float :type y_center: float",
"name": "__init__",
"signature": "def __init__(self, radius, x_center, y_center)"
},
{
"docstring": ":rtype: List[float]",
"name": "randPoint",
"signature": "def randPoint(self)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, radius, x_center, y_center): :type radius: float :type x_center: float :type y_center: float
- def randPoint(self): :rtype: List[float] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, radius, x_center, y_center): :type radius: float :type x_center: float :type y_center: float
- def randPoint(self): :rtype: List[float]
<|skeleton|>
class Sol... | 4ddea0a532fe7c5d053ffbd6870174ec99fc2d60 | <|skeleton|>
class Solution:
def __init__(self, radius, x_center, y_center):
""":type radius: float :type x_center: float :type y_center: float"""
<|body_0|>
def randPoint(self):
""":rtype: List[float]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def __init__(self, radius, x_center, y_center):
""":type radius: float :type x_center: float :type y_center: float"""
self.radius = radius
self.x_center = x_center
self.y_center = y_center
def randPoint(self):
""":rtype: List[float]"""
r = self.ra... | the_stack_v2_python_sparse | 0401-0500/0478-Generate Random Point in a Circle/0478-Generate Random Point in a Circle.py | jiadaizhao/LeetCode | train | 52 | |
c14b5bfcb90f424a36f6bf86f206539c9f42933d | [
"self.certLocation = '~/.globus/usercert.pem' if 'X509_USER_CERT' not in os.environ else os.environ['X509_USER_CERT']\nself.keyLocation = '~/.globus/userkey.pem' if 'X509_USER_KEY' not in os.environ else os.environ['X509_USER_KEY']\nself.logger = logger\nself.timeleft = 0\nself.username = username",
"cmd = 'expor... | <|body_start_0|>
self.certLocation = '~/.globus/usercert.pem' if 'X509_USER_CERT' not in os.environ else os.environ['X509_USER_CERT']
self.keyLocation = '~/.globus/userkey.pem' if 'X509_USER_KEY' not in os.environ else os.environ['X509_USER_KEY']
self.logger = logger
self.timeleft = 0
... | an object to interact with myproxy-* commands | MyProxy | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyProxy:
"""an object to interact with myproxy-* commands"""
def __init__(self, username=None, logger=None):
"""Constructor, sets sensible defaults for everything"""
<|body_0|>
def create(self, username=None, retrievers=None, validity=720):
"""creates a new crede... | stack_v2_sparse_classes_36k_train_028009 | 9,571 | no_license | [
{
"docstring": "Constructor, sets sensible defaults for everything",
"name": "__init__",
"signature": "def __init__(self, username=None, logger=None)"
},
{
"docstring": "creates a new credential in myproxy.cern.ch args: username: string: the username of the credential, usually the has of the use... | 4 | stack_v2_sparse_classes_30k_train_013623 | Implement the Python class `MyProxy` described below.
Class description:
an object to interact with myproxy-* commands
Method signatures and docstrings:
- def __init__(self, username=None, logger=None): Constructor, sets sensible defaults for everything
- def create(self, username=None, retrievers=None, validity=720)... | Implement the Python class `MyProxy` described below.
Class description:
an object to interact with myproxy-* commands
Method signatures and docstrings:
- def __init__(self, username=None, logger=None): Constructor, sets sensible defaults for everything
- def create(self, username=None, retrievers=None, validity=720)... | 549c4e3b6158e8344315437d1d128f2288551d47 | <|skeleton|>
class MyProxy:
"""an object to interact with myproxy-* commands"""
def __init__(self, username=None, logger=None):
"""Constructor, sets sensible defaults for everything"""
<|body_0|>
def create(self, username=None, retrievers=None, validity=720):
"""creates a new crede... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyProxy:
"""an object to interact with myproxy-* commands"""
def __init__(self, username=None, logger=None):
"""Constructor, sets sensible defaults for everything"""
self.certLocation = '~/.globus/usercert.pem' if 'X509_USER_CERT' not in os.environ else os.environ['X509_USER_CERT']
... | the_stack_v2_python_sparse | src/python/CRABClient/ProxyInteractions.py | dmwm/CRABClient | train | 12 |
d5b06d94c25bdedbfff84096f614512549328098 | [
"merged_folder = os.path.abspath(f'{Global_var.DB.value}/{name}')\nif not os.path.isdir(merged_folder):\n os.mkdir(merged_folder)\nprotein_files = sorted(os.listdir(path_to_proteins))\nligand_files = sorted(os.listdir(path_to_ligands))\nunion_index = 0\ntry:\n assert len(protein_files) == len(ligand_files)\ne... | <|body_start_0|>
merged_folder = os.path.abspath(f'{Global_var.DB.value}/{name}')
if not os.path.isdir(merged_folder):
os.mkdir(merged_folder)
protein_files = sorted(os.listdir(path_to_proteins))
ligand_files = sorted(os.listdir(path_to_ligands))
union_index = 0
... | Class provides the functions for making manipulations with folders containing protein-ligand complexes | FolderFunctions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FolderFunctions:
"""Class provides the functions for making manipulations with folders containing protein-ligand complexes"""
def merge_ligand_complexes_with_proteins(name='390', path_to_proteins=os.path.abspath(f'{Global_var.DB.value}/39_protein_pdb'), path_to_ligands=os.path.abspath('pdbbi... | stack_v2_sparse_classes_36k_train_028010 | 6,208 | no_license | [
{
"docstring": "Merging ligand complexes with proteins by putting them on the same folders param name: the final folder with proteins and ligands param path_to_proteins: the path to proteins param path_to_ligands: the path to ligands",
"name": "merge_ligand_complexes_with_proteins",
"signature": "def me... | 4 | stack_v2_sparse_classes_30k_train_014388 | Implement the Python class `FolderFunctions` described below.
Class description:
Class provides the functions for making manipulations with folders containing protein-ligand complexes
Method signatures and docstrings:
- def merge_ligand_complexes_with_proteins(name='390', path_to_proteins=os.path.abspath(f'{Global_va... | Implement the Python class `FolderFunctions` described below.
Class description:
Class provides the functions for making manipulations with folders containing protein-ligand complexes
Method signatures and docstrings:
- def merge_ligand_complexes_with_proteins(name='390', path_to_proteins=os.path.abspath(f'{Global_va... | 32d4a8c9ccdede1573c6dcd830664ab77e4697f7 | <|skeleton|>
class FolderFunctions:
"""Class provides the functions for making manipulations with folders containing protein-ligand complexes"""
def merge_ligand_complexes_with_proteins(name='390', path_to_proteins=os.path.abspath(f'{Global_var.DB.value}/39_protein_pdb'), path_to_ligands=os.path.abspath('pdbbi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FolderFunctions:
"""Class provides the functions for making manipulations with folders containing protein-ligand complexes"""
def merge_ligand_complexes_with_proteins(name='390', path_to_proteins=os.path.abspath(f'{Global_var.DB.value}/39_protein_pdb'), path_to_ligands=os.path.abspath('pdbbind_data_2018/... | the_stack_v2_python_sparse | structured/data_loader/preprocess/folder_functions.py | akezhanmussa/ProteinLigandPredictor | train | 2 |
b2e50ec50004a832c0cce740402dac902f259189 | [
"self.filename = filename\nif filename != '':\n f = open(self.filename, 'r')\n self.lines = f.read().splitlines()\n f.close()\n self.kpoints = self.read(self.lines)",
"if lines[1] == '0':\n return self.get_mesh_kp(lines=lines)\nelif 'Reciprocal' in lines[2]:\n return self.get_ibz_kp(lines=lines)... | <|body_start_0|>
self.filename = filename
if filename != '':
f = open(self.filename, 'r')
self.lines = f.read().splitlines()
f.close()
self.kpoints = self.read(self.lines)
<|end_body_0|>
<|body_start_1|>
if lines[1] == '0':
return self... | Make VASP KPOINTS as object. | Kpoints | [
"NIST-PD"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Kpoints:
"""Make VASP KPOINTS as object."""
def __init__(self, filename=''):
"""Initialize Kpoints from filename else read from file-stream."""
<|body_0|>
def read(self, lines):
"""Read from an open file."""
<|body_1|>
def get_mesh_kp(lines=''):
... | stack_v2_sparse_classes_36k_train_028011 | 20,796 | permissive | [
{
"docstring": "Initialize Kpoints from filename else read from file-stream.",
"name": "__init__",
"signature": "def __init__(self, filename='')"
},
{
"docstring": "Read from an open file.",
"name": "read",
"signature": "def read(self, lines)"
},
{
"docstring": "Read Kpoints as g... | 4 | stack_v2_sparse_classes_30k_train_006615 | Implement the Python class `Kpoints` described below.
Class description:
Make VASP KPOINTS as object.
Method signatures and docstrings:
- def __init__(self, filename=''): Initialize Kpoints from filename else read from file-stream.
- def read(self, lines): Read from an open file.
- def get_mesh_kp(lines=''): Read Kpo... | Implement the Python class `Kpoints` described below.
Class description:
Make VASP KPOINTS as object.
Method signatures and docstrings:
- def __init__(self, filename=''): Initialize Kpoints from filename else read from file-stream.
- def read(self, lines): Read from an open file.
- def get_mesh_kp(lines=''): Read Kpo... | 1c44aba9e648b21744b0d306b1ea9b3c73a5b0fb | <|skeleton|>
class Kpoints:
"""Make VASP KPOINTS as object."""
def __init__(self, filename=''):
"""Initialize Kpoints from filename else read from file-stream."""
<|body_0|>
def read(self, lines):
"""Read from an open file."""
<|body_1|>
def get_mesh_kp(lines=''):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Kpoints:
"""Make VASP KPOINTS as object."""
def __init__(self, filename=''):
"""Initialize Kpoints from filename else read from file-stream."""
self.filename = filename
if filename != '':
f = open(self.filename, 'r')
self.lines = f.read().splitlines()
... | the_stack_v2_python_sparse | jarvis/io/vasp/inputs.py | tavazza/jarvis | train | 0 |
cdc7363802e7654598d0114363f578ed7e48c8c1 | [
"self.pool = pool\nself.project = project\nself.targetdir = targetdir\nself.callback = callback\nself.exc_hld = exc_hld",
"_logger.info('Snapshotting %s under %s' % (self.project, self.targetdir))\nself.project.snapshot(self.targetdir, False)\n\ndef walk(dir_, targetdir):\n \"\"\"walkthrough the project hierar... | <|body_start_0|>
self.pool = pool
self.project = project
self.targetdir = targetdir
self.callback = callback
self.exc_hld = exc_hld
<|end_body_0|>
<|body_start_1|>
_logger.info('Snapshotting %s under %s' % (self.project, self.targetdir))
self.project.snapshot(sel... | Snapshot Job executed by the thread pool. | _FastSnapshot | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _FastSnapshot:
"""Snapshot Job executed by the thread pool."""
def __init__(self, pool, project, targetdir, callback, exc_hld):
"""Construtor, will store the parameter for the checkout."""
<|body_0|>
def __call__(self):
"""Do the checkout, and then walkthrough th... | stack_v2_sparse_classes_36k_train_028012 | 15,149 | no_license | [
{
"docstring": "Construtor, will store the parameter for the checkout.",
"name": "__init__",
"signature": "def __init__(self, pool, project, targetdir, callback, exc_hld)"
},
{
"docstring": "Do the checkout, and then walkthrough the project hierarchy to find subproject to snapshot.",
"name":... | 2 | null | Implement the Python class `_FastSnapshot` described below.
Class description:
Snapshot Job executed by the thread pool.
Method signatures and docstrings:
- def __init__(self, pool, project, targetdir, callback, exc_hld): Construtor, will store the parameter for the checkout.
- def __call__(self): Do the checkout, an... | Implement the Python class `_FastSnapshot` described below.
Class description:
Snapshot Job executed by the thread pool.
Method signatures and docstrings:
- def __init__(self, pool, project, targetdir, callback, exc_hld): Construtor, will store the parameter for the checkout.
- def __call__(self): Do the checkout, an... | f458a4ce83f74d603362fe6b71eaa647ccc62fee | <|skeleton|>
class _FastSnapshot:
"""Snapshot Job executed by the thread pool."""
def __init__(self, pool, project, targetdir, callback, exc_hld):
"""Construtor, will store the parameter for the checkout."""
<|body_0|>
def __call__(self):
"""Do the checkout, and then walkthrough th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _FastSnapshot:
"""Snapshot Job executed by the thread pool."""
def __init__(self, pool, project, targetdir, callback, exc_hld):
"""Construtor, will store the parameter for the checkout."""
self.pool = pool
self.project = project
self.targetdir = targetdir
self.call... | the_stack_v2_python_sparse | buildframework/helium/sf/python/pythoncore/lib/ccm/extra.py | anagovitsyn/oss.FCL.sftools.dev.build | train | 0 |
24644bc5f431cba1d0ff807e16cd3a880a99781d | [
"test = application.orm.get_test(test_id)\ntest_schema = TestsSchema()\nif test is None:\n return fail_response('Test is not found', code=404)\nres = test_schema.dump(test)\nquestions = []\nquestions_schema = QuestionsSchema()\nfor question_id in res.data['questions_tests']:\n obj = application.orm.get_questi... | <|body_start_0|>
test = application.orm.get_test(test_id)
test_schema = TestsSchema()
if test is None:
return fail_response('Test is not found', code=404)
res = test_schema.dump(test)
questions = []
questions_schema = QuestionsSchema()
for question_id ... | TestManagement | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestManagement:
def get(self, test_id):
"""--- summary: Get test by id description: All test questions with test metainfo parameters: - in: path name: user_id schema: type: integer required: true description: Numeric ID of the user to get responses: 200: description: OK content: applicat... | stack_v2_sparse_classes_36k_train_028013 | 12,238 | no_license | [
{
"docstring": "--- summary: Get test by id description: All test questions with test metainfo parameters: - in: path name: user_id schema: type: integer required: true description: Numeric ID of the user to get responses: 200: description: OK content: application/json: schema: TestsSchema example: { \"archived... | 3 | stack_v2_sparse_classes_30k_train_004029 | Implement the Python class `TestManagement` described below.
Class description:
Implement the TestManagement class.
Method signatures and docstrings:
- def get(self, test_id): --- summary: Get test by id description: All test questions with test metainfo parameters: - in: path name: user_id schema: type: integer requ... | Implement the Python class `TestManagement` described below.
Class description:
Implement the TestManagement class.
Method signatures and docstrings:
- def get(self, test_id): --- summary: Get test by id description: All test questions with test metainfo parameters: - in: path name: user_id schema: type: integer requ... | 171f990754f1c89cefe2b416001d1b7e3a6a430d | <|skeleton|>
class TestManagement:
def get(self, test_id):
"""--- summary: Get test by id description: All test questions with test metainfo parameters: - in: path name: user_id schema: type: integer required: true description: Numeric ID of the user to get responses: 200: description: OK content: applicat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestManagement:
def get(self, test_id):
"""--- summary: Get test by id description: All test questions with test metainfo parameters: - in: path name: user_id schema: type: integer required: true description: Numeric ID of the user to get responses: 200: description: OK content: application/json: sche... | the_stack_v2_python_sparse | backend/api/test.py | ssd-courseproject/adminssion-forms-backend | train | 0 | |
c2ada04b43ac6b8809c86914a506f66146c5cd0f | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn AccessReviewHistoryInstance()",
"from .access_review_history_status import AccessReviewHistoryStatus\nfrom .entity import Entity\nfrom .access_review_history_status import AccessReviewHistoryStatus\nfrom .entity import Entity\nfields: ... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return AccessReviewHistoryInstance()
<|end_body_0|>
<|body_start_1|>
from .access_review_history_status import AccessReviewHistoryStatus
from .entity import Entity
from .access_review_h... | AccessReviewHistoryInstance | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccessReviewHistoryInstance:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance:
"""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 a... | stack_v2_sparse_classes_36k_train_028014 | 4,766 | 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: AccessReviewHistoryInstance",
"name": "create_from_discriminator_value",
"signature": "def create_from_discr... | 3 | stack_v2_sparse_classes_30k_train_004514 | Implement the Python class `AccessReviewHistoryInstance` described below.
Class description:
Implement the AccessReviewHistoryInstance class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance: Creates a new instance of the appr... | Implement the Python class `AccessReviewHistoryInstance` described below.
Class description:
Implement the AccessReviewHistoryInstance class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance: Creates a new instance of the appr... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class AccessReviewHistoryInstance:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance:
"""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 a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AccessReviewHistoryInstance:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance:
"""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 ... | the_stack_v2_python_sparse | msgraph/generated/models/access_review_history_instance.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
b1ff2060acac96a8e9f2bc7cd650a942daa1ba20 | [
"\"\"\"\n 解决方案:\n url:https://leetcode.com/problems/rle-iterator/discuss/176553/Python-simple-pointer-to-next-element\n 1. 不单独构建新的列表结构，只标记取数的位置，迭代读取返回结果\n url: https://leetcode.com/problems/rle-iterator/discuss/175683/Python-Binary-Search-Solution-beats-100\n 2. 组成取值列表和索引列表映射，next... | <|body_start_0|>
"""
解决方案:
url:https://leetcode.com/problems/rle-iterator/discuss/176553/Python-simple-pointer-to-next-element
1. 不单独构建新的列表结构，只标记取数的位置，迭代读取返回结果
url: https://leetcode.com/problems/rle-iterator/discuss/175683/Python-Binary-Search-Solu... | RLEIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
<|body_0|>
def next(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
"""
解决方案:
url:https://leetcode.com/problems/rle-it... | stack_v2_sparse_classes_36k_train_028015 | 1,523 | no_license | [
{
"docstring": ":type A: List[int]",
"name": "__init__",
"signature": "def __init__(self, A)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "next",
"signature": "def next(self, n)"
}
] | 2 | null | Implement the Python class `RLEIterator` described below.
Class description:
Implement the RLEIterator class.
Method signatures and docstrings:
- def __init__(self, A): :type A: List[int]
- def next(self, n): :type n: int :rtype: int | Implement the Python class `RLEIterator` described below.
Class description:
Implement the RLEIterator class.
Method signatures and docstrings:
- def __init__(self, A): :type A: List[int]
- def next(self, n): :type n: int :rtype: int
<|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: Lis... | a39280ab6bbbf3b688a024a71ef952be5010d98e | <|skeleton|>
class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
<|body_0|>
def next(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RLEIterator:
def __init__(self, A):
""":type A: List[int]"""
"""
解决方案:
url:https://leetcode.com/problems/rle-iterator/discuss/176553/Python-simple-pointer-to-next-element
1. 不单独构建新的列表结构，只标记取数的位置，迭代读取返回结果
url: https://leetcode.com/... | the_stack_v2_python_sparse | 900_RLE_Iterator.py | MarcelArthur/leetcode_collection | train | 0 | |
578f25cf0f64c96b315aba529fc3c20b577734b6 | [
"if len(np.shape(x_t)) > 1 and np.shape(x_t)[1] > 1:\n raise NotImplementedError()\nelse:\n x_next_mean_precision = x_t * self.parameters.A * self.parameters.Qinv + self.y_next * self.parameters.C * self.parameters.Rinv\n x_next_precision = self.parameters.Qinv + self.parameters.C ** 2 * self.parameters.Ri... | <|body_start_0|>
if len(np.shape(x_t)) > 1 and np.shape(x_t)[1] > 1:
raise NotImplementedError()
else:
x_next_mean_precision = x_t * self.parameters.A * self.parameters.Qinv + self.y_next * self.parameters.C * self.parameters.Rinv
x_next_precision = self.parameters.Qi... | Optimal Instrumental Kernel for LGSSM K(x_{t+1} | x_t) = Pr(x_{t+1} | x_t, y_{t+1}, parameters) | LGSSMOptimalKernel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LGSSMOptimalKernel:
"""Optimal Instrumental Kernel for LGSSM K(x_{t+1} | x_t) = Pr(x_{t+1} | x_t, y_{t+1}, parameters)"""
def rv(self, x_t, **kwargs):
"""optimal Kernel for LGSSM Sample x_{t+1} ~ Pr(x_{t+1} | x_t, y_{t+1}, parameters) Args: x_t (ndarray): N by n, x_t Return: x_next (... | stack_v2_sparse_classes_36k_train_028016 | 7,345 | permissive | [
{
"docstring": "optimal Kernel for LGSSM Sample x_{t+1} ~ Pr(x_{t+1} | x_t, y_{t+1}, parameters) Args: x_t (ndarray): N by n, x_t Return: x_next (ndarray): N by n, x_{t+1}",
"name": "rv",
"signature": "def rv(self, x_t, **kwargs)"
},
{
"docstring": "Reweight function for Optimal Kernel for LGSSM... | 2 | stack_v2_sparse_classes_30k_train_010964 | Implement the Python class `LGSSMOptimalKernel` described below.
Class description:
Optimal Instrumental Kernel for LGSSM K(x_{t+1} | x_t) = Pr(x_{t+1} | x_t, y_{t+1}, parameters)
Method signatures and docstrings:
- def rv(self, x_t, **kwargs): optimal Kernel for LGSSM Sample x_{t+1} ~ Pr(x_{t+1} | x_t, y_{t+1}, para... | Implement the Python class `LGSSMOptimalKernel` described below.
Class description:
Optimal Instrumental Kernel for LGSSM K(x_{t+1} | x_t) = Pr(x_{t+1} | x_t, y_{t+1}, parameters)
Method signatures and docstrings:
- def rv(self, x_t, **kwargs): optimal Kernel for LGSSM Sample x_{t+1} ~ Pr(x_{t+1} | x_t, y_{t+1}, para... | b4f04637165c13fd7b3e042b36ad9b77d2528733 | <|skeleton|>
class LGSSMOptimalKernel:
"""Optimal Instrumental Kernel for LGSSM K(x_{t+1} | x_t) = Pr(x_{t+1} | x_t, y_{t+1}, parameters)"""
def rv(self, x_t, **kwargs):
"""optimal Kernel for LGSSM Sample x_{t+1} ~ Pr(x_{t+1} | x_t, y_{t+1}, parameters) Args: x_t (ndarray): N by n, x_t Return: x_next (... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LGSSMOptimalKernel:
"""Optimal Instrumental Kernel for LGSSM K(x_{t+1} | x_t) = Pr(x_{t+1} | x_t, y_{t+1}, parameters)"""
def rv(self, x_t, **kwargs):
"""optimal Kernel for LGSSM Sample x_{t+1} ~ Pr(x_{t+1} | x_t, y_{t+1}, parameters) Args: x_t (ndarray): N by n, x_t Return: x_next (ndarray): N b... | the_stack_v2_python_sparse | sgmcmc_ssm/models/lgssm/kernels.py | PeiKaLunCi/sgmcmc_ssm_code | train | 0 |
297ff7620da54b1c9ebd752947018bf34dec1ab7 | [
"self.__k = k\nself.__min_heap = []\nfor n in nums:\n self.add(n)",
"heapq.heappush(self.__min_heap, val)\nif len(self.__min_heap) > self.__k:\n heapq.heappop(self.__min_heap)\nreturn self.__min_heap[0]"
] | <|body_start_0|>
self.__k = k
self.__min_heap = []
for n in nums:
self.add(n)
<|end_body_0|>
<|body_start_1|>
heapq.heappush(self.__min_heap, val)
if len(self.__min_heap) > self.__k:
heapq.heappop(self.__min_heap)
return self.__min_heap[0]
<|end_b... | KthLargest | [
"MIT"
] | 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.__min_heap = []
for n in... | stack_v2_sparse_classes_36k_train_028017 | 550 | permissive | [
{
"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... | 4dc4e6642dc92f1983c13564cc0fd99917cab358 | <|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_36k | data/stack_v2_sparse_classes_30k | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.__k = k
self.__min_heap = []
for n in nums:
self.add(n)
def add(self, val):
""":type val: int :rtype: int"""
heapq.heappush(self.__min_heap, val)
if l... | the_stack_v2_python_sparse | Python/kth-largest-element-in-a-stream.py | kamyu104/LeetCode-Solutions | train | 4,549 | |
46cccd1719b72d748bd46616fe821bb94a116f3f | [
"self.init_successful = True\ntry:\n rospy.wait_for_service('pr2_etherCAT/halt_motors', 5)\n self.halt_motors_client = rospy.ServiceProxy('pr2_etherCAT/halt_motors', Empty)\n rospy.loginfo('Found halt motors service')\nexcept:\n rospy.logerr('Cannot find halt motors service')\n self.init_successful =... | <|body_start_0|>
self.init_successful = True
try:
rospy.wait_for_service('pr2_etherCAT/halt_motors', 5)
self.halt_motors_client = rospy.ServiceProxy('pr2_etherCAT/halt_motors', Empty)
rospy.loginfo('Found halt motors service')
except:
rospy.logerr(... | Provide utility functions for starting/stopping PR2. | RunStop | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunStop:
"""Provide utility functions for starting/stopping PR2."""
def __init__(self):
"""Establish service connections for motors, power board."""
<|body_0|>
def stop(self):
"""Halt motors, place power board into standboy. Stops robot."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_028018 | 4,841 | no_license | [
{
"docstring": "Establish service connections for motors, power board.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Halt motors, place power board into standboy. Stops robot.",
"name": "stop",
"signature": "def stop(self)"
},
{
"docstring": "Reset po... | 5 | null | Implement the Python class `RunStop` described below.
Class description:
Provide utility functions for starting/stopping PR2.
Method signatures and docstrings:
- def __init__(self): Establish service connections for motors, power board.
- def stop(self): Halt motors, place power board into standboy. Stops robot.
- de... | Implement the Python class `RunStop` described below.
Class description:
Provide utility functions for starting/stopping PR2.
Method signatures and docstrings:
- def __init__(self): Establish service connections for motors, power board.
- def stop(self): Halt motors, place power board into standboy. Stops robot.
- de... | b2cc6fc19c143ac6dc7f83af02a94c3833820b6e | <|skeleton|>
class RunStop:
"""Provide utility functions for starting/stopping PR2."""
def __init__(self):
"""Establish service connections for motors, power board."""
<|body_0|>
def stop(self):
"""Halt motors, place power board into standboy. Stops robot."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RunStop:
"""Provide utility functions for starting/stopping PR2."""
def __init__(self):
"""Establish service connections for motors, power board."""
self.init_successful = True
try:
rospy.wait_for_service('pr2_etherCAT/halt_motors', 5)
self.halt_motors_clie... | the_stack_v2_python_sparse | wouse/src/wouse/run_stop_server.py | wklharry/hrl | train | 0 |
4575f69f4da7cc321dfa90dc66ae552bce6d4113 | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('hek_kquirk', 'hek_kquirk')\nrepo.dropCollection('hek_kquirk.district_income')\nrepo.createCollection('hek_kquirk.district_income')\nrepo.dropCollection('hek_kquirk.tmp_collection')\nrepo.createCollection... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('hek_kquirk', 'hek_kquirk')
repo.dropCollection('hek_kquirk.district_income')
repo.createCollection('hek_kquirk.district_income')
repo.drop... | districts_income | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class districts_income:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everyth... | stack_v2_sparse_classes_36k_train_028019 | 6,067 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | null | Implement the Python class `districts_income` described below.
Class description:
Implement the districts_income class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=N... | Implement the Python class `districts_income` described below.
Class description:
Implement the districts_income class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=N... | 90284cf3debbac36eead07b8d2339cdd191b86cf | <|skeleton|>
class districts_income:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everyth... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class districts_income:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('hek_kquirk', 'hek_kquirk')
... | the_stack_v2_python_sparse | hek_kquirk/districts_income.py | maximega/course-2019-spr-proj | train | 2 | |
dc5b6da4e56a278aaff5306e40080edcfa1316cb | [
"env_params = lending_params.DelayedImpactParams(applicant_distribution=lending_params.two_group_credit_clusters(cluster_probabilities=self.cluster_probabilities, group_likelihoods=[self.group_0_prob, 1 - self.group_0_prob]), bank_starting_cash=self.bank_starting_cash, interest_rate=self.interest_rate, cluster_shif... | <|body_start_0|>
env_params = lending_params.DelayedImpactParams(applicant_distribution=lending_params.two_group_credit_clusters(cluster_probabilities=self.cluster_probabilities, group_likelihoods=[self.group_0_prob, 1 - self.group_0_prob]), bank_starting_cash=self.bank_starting_cash, interest_rate=self.interes... | Specifies the parameters of an experiment to run. | Experiment | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Experiment:
"""Specifies the parameters of an experiment to run."""
def scenario_builder(self):
"""Returns an agent and environment pair."""
<|body_0|>
def run(self):
"""Run a lending experiment. Returns: A json encoding of the experiment result."""
<|bod... | stack_v2_sparse_classes_36k_train_028020 | 5,635 | permissive | [
{
"docstring": "Returns an agent and environment pair.",
"name": "scenario_builder",
"signature": "def scenario_builder(self)"
},
{
"docstring": "Run a lending experiment. Returns: A json encoding of the experiment result.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | null | Implement the Python class `Experiment` described below.
Class description:
Specifies the parameters of an experiment to run.
Method signatures and docstrings:
- def scenario_builder(self): Returns an agent and environment pair.
- def run(self): Run a lending experiment. Returns: A json encoding of the experiment res... | Implement the Python class `Experiment` described below.
Class description:
Specifies the parameters of an experiment to run.
Method signatures and docstrings:
- def scenario_builder(self): Returns an agent and environment pair.
- def run(self): Run a lending experiment. Returns: A json encoding of the experiment res... | 38eaf4514062892e0c3ce5d7cff4b4c1a7e49242 | <|skeleton|>
class Experiment:
"""Specifies the parameters of an experiment to run."""
def scenario_builder(self):
"""Returns an agent and environment pair."""
<|body_0|>
def run(self):
"""Run a lending experiment. Returns: A json encoding of the experiment result."""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Experiment:
"""Specifies the parameters of an experiment to run."""
def scenario_builder(self):
"""Returns an agent and environment pair."""
env_params = lending_params.DelayedImpactParams(applicant_distribution=lending_params.two_group_credit_clusters(cluster_probabilities=self.cluster_p... | the_stack_v2_python_sparse | experiments/lending.py | google/ml-fairness-gym | train | 310 |
42d2bb46f1628a1d199719b7c22d2cf37b2bb7cd | [
"super(ScaleProductAttention, self).__init__()\nself.decoder_att = nn.Linear(decoder_dim, encoder_dim)\nself.dk = encoder_dim\nself.softmax = nn.Softmax(dim=1)",
"query = self.decoder_att(decoder_hidden).unsqueeze(1)\nscores = torch.matmul(query, encoder_out.transpose(-2, -1)) / math.sqrt(self.dk)\nscores = score... | <|body_start_0|>
super(ScaleProductAttention, self).__init__()
self.decoder_att = nn.Linear(decoder_dim, encoder_dim)
self.dk = encoder_dim
self.softmax = nn.Softmax(dim=1)
<|end_body_0|>
<|body_start_1|>
query = self.decoder_att(decoder_hidden).unsqueeze(1)
scores = tor... | Attention Network. | ScaleProductAttention | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScaleProductAttention:
"""Attention Network."""
def __init__(self, encoder_dim, decoder_dim):
""":param encoder_dim: feature size of encoded images :param decoder_dim: size of decoder's RNN :param attention_dim: size of the attention network"""
<|body_0|>
def forward(sel... | stack_v2_sparse_classes_36k_train_028021 | 8,469 | no_license | [
{
"docstring": ":param encoder_dim: feature size of encoded images :param decoder_dim: size of decoder's RNN :param attention_dim: size of the attention network",
"name": "__init__",
"signature": "def __init__(self, encoder_dim, decoder_dim)"
},
{
"docstring": "Forward propagation. :param encode... | 2 | stack_v2_sparse_classes_30k_test_001110 | Implement the Python class `ScaleProductAttention` described below.
Class description:
Attention Network.
Method signatures and docstrings:
- def __init__(self, encoder_dim, decoder_dim): :param encoder_dim: feature size of encoded images :param decoder_dim: size of decoder's RNN :param attention_dim: size of the att... | Implement the Python class `ScaleProductAttention` described below.
Class description:
Attention Network.
Method signatures and docstrings:
- def __init__(self, encoder_dim, decoder_dim): :param encoder_dim: feature size of encoded images :param decoder_dim: size of decoder's RNN :param attention_dim: size of the att... | 426d97b5d3688f6c52c51ef6e33872554d55751a | <|skeleton|>
class ScaleProductAttention:
"""Attention Network."""
def __init__(self, encoder_dim, decoder_dim):
""":param encoder_dim: feature size of encoded images :param decoder_dim: size of decoder's RNN :param attention_dim: size of the attention network"""
<|body_0|>
def forward(sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ScaleProductAttention:
"""Attention Network."""
def __init__(self, encoder_dim, decoder_dim):
""":param encoder_dim: feature size of encoded images :param decoder_dim: size of decoder's RNN :param attention_dim: size of the attention network"""
super(ScaleProductAttention, self).__init__(... | the_stack_v2_python_sparse | src/models/basic_encoder_decoder_models/encoder_decoder_variants/attention_scale_product.py | RitaRamo/remote-sensing-images-caption | train | 3 |
79234d2d23144a814a7d1e03bc28d91e9493b7bb | [
"self._cusip = cusip\nself._trade_dt = trade_dt\nself._mat_dt = matDate\nself._sec_type = secType",
"ref_dt = self._mat_dt if not ref_dt else ref_dt\nif crv_type == 'tsy':\n crv = curve_funcs.loadTreasuryCurve(dflt=True)\nif interp == 'flat':\n return curve_funcs.flatInterp(ref_dt, crv)\nelif interp == 'lin... | <|body_start_0|>
self._cusip = cusip
self._trade_dt = trade_dt
self._mat_dt = matDate
self._sec_type = secType
<|end_body_0|>
<|body_start_1|>
ref_dt = self._mat_dt if not ref_dt else ref_dt
if crv_type == 'tsy':
crv = curve_funcs.loadTreasuryCurve(dflt=True)... | Parent class for Bonds, holds all the generic information | Bond | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bond:
"""Parent class for Bonds, holds all the generic information"""
def __init__(self, cusip, trade_dt, matDate, secType):
"""Constructor Parameters ========== cusip : str cusip of this bond issueDate : str when bond was issued matDate : str maturity date of bond secType : str type... | stack_v2_sparse_classes_36k_train_028022 | 1,589 | no_license | [
{
"docstring": "Constructor Parameters ========== cusip : str cusip of this bond issueDate : str when bond was issued matDate : str maturity date of bond secType : str type of security Return ====== NONE",
"name": "__init__",
"signature": "def __init__(self, cusip, trade_dt, matDate, secType)"
},
{
... | 2 | null | Implement the Python class `Bond` described below.
Class description:
Parent class for Bonds, holds all the generic information
Method signatures and docstrings:
- def __init__(self, cusip, trade_dt, matDate, secType): Constructor Parameters ========== cusip : str cusip of this bond issueDate : str when bond was issu... | Implement the Python class `Bond` described below.
Class description:
Parent class for Bonds, holds all the generic information
Method signatures and docstrings:
- def __init__(self, cusip, trade_dt, matDate, secType): Constructor Parameters ========== cusip : str cusip of this bond issueDate : str when bond was issu... | 957c49300ae59571eda590ddf13e7e092fdd96aa | <|skeleton|>
class Bond:
"""Parent class for Bonds, holds all the generic information"""
def __init__(self, cusip, trade_dt, matDate, secType):
"""Constructor Parameters ========== cusip : str cusip of this bond issueDate : str when bond was issued matDate : str maturity date of bond secType : str type... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Bond:
"""Parent class for Bonds, holds all the generic information"""
def __init__(self, cusip, trade_dt, matDate, secType):
"""Constructor Parameters ========== cusip : str cusip of this bond issueDate : str when bond was issued matDate : str maturity date of bond secType : str type of security ... | the_stack_v2_python_sparse | financial_lib/bond/bond.py | mccarvik/python_for_finance | train | 3 |
b7e248ec616e33fc143d9315808a1e803ceea4b1 | [
"with Database() as db:\n if id_person_requiring_assistance_type is None and is_active is None:\n data = db.query(Table).all()\n elif id_person_requiring_assistance_type is None:\n data = db.query(Table).filter(Table.is_active == is_active).all()\n else:\n data = db.query(Table).get(id... | <|body_start_0|>
with Database() as db:
if id_person_requiring_assistance_type is None and is_active is None:
data = db.query(Table).all()
elif id_person_requiring_assistance_type is None:
data = db.query(Table).filter(Table.is_active == is_active).all()
... | PersonRequiringAssistanceType | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PersonRequiringAssistanceType:
def get(self, id_person_requiring_assistance_type=None, is_active=None):
"""Return all person requiring assistance type information :param person_requiring_assistance_type: UUID :param is_active: BOOLEAN"""
<|body_0|>
def create(self, body):
... | stack_v2_sparse_classes_36k_train_028023 | 2,925 | no_license | [
{
"docstring": "Return all person requiring assistance type information :param person_requiring_assistance_type: UUID :param is_active: BOOLEAN",
"name": "get",
"signature": "def get(self, id_person_requiring_assistance_type=None, is_active=None)"
},
{
"docstring": "Create a new person requiring... | 4 | stack_v2_sparse_classes_30k_train_016577 | Implement the Python class `PersonRequiringAssistanceType` described below.
Class description:
Implement the PersonRequiringAssistanceType class.
Method signatures and docstrings:
- def get(self, id_person_requiring_assistance_type=None, is_active=None): Return all person requiring assistance type information :param ... | Implement the Python class `PersonRequiringAssistanceType` described below.
Class description:
Implement the PersonRequiringAssistanceType class.
Method signatures and docstrings:
- def get(self, id_person_requiring_assistance_type=None, is_active=None): Return all person requiring assistance type information :param ... | 43bd57c466a5cd3b133ddc437cb4a6b9f007d267 | <|skeleton|>
class PersonRequiringAssistanceType:
def get(self, id_person_requiring_assistance_type=None, is_active=None):
"""Return all person requiring assistance type information :param person_requiring_assistance_type: UUID :param is_active: BOOLEAN"""
<|body_0|>
def create(self, body):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PersonRequiringAssistanceType:
def get(self, id_person_requiring_assistance_type=None, is_active=None):
"""Return all person requiring assistance type information :param person_requiring_assistance_type: UUID :param is_active: BOOLEAN"""
with Database() as db:
if id_person_requirin... | the_stack_v2_python_sparse | resturls/personrequiringassistancetype.py | CAUCA-9-1-1/survip-api | train | 1 | |
5f33be7e326deec971fdc6499371cb9a538f03fc | [
"from collections import deque\ndeque = deque([root])\nres = []\nwhile deque:\n node = deque.popleft()\n if node:\n res.append(node.val)\n deque.append(node.left)\n deque.append(node.right)\n else:\n res.append('#')\nreturn res",
"listTreeNode = []\nfor nodeVal in data:\n i... | <|body_start_0|>
from collections import deque
deque = deque([root])
res = []
while deque:
node = deque.popleft()
if node:
res.append(node.val)
deque.append(node.left)
deque.append(node.right)
else:
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_028024 | 1,488 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | f08628e3ce639d1e3f35a2bd3af14cc2b67d7249 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
from collections import deque
deque = deque([root])
res = []
while deque:
node = deque.popleft()
if node:
res.append(node.... | the_stack_v2_python_sparse | 297.Codec.py | Aissen-Li/LeetCode | train | 0 | |
3aeb7e5b375d6ff2f7678e46f1fb5d37b6a07724 | [
"if has_body:\n body = response.json()\n body = body[self.resources_key]\n for data in body:\n value = self.existing(**data)\n yield value",
"if not self.allow_create:\n raise exceptions.MethodNotSupported(self, 'create')\nif self.put_create:\n request = self._prepare_request(requires... | <|body_start_0|>
if has_body:
body = response.json()
body = body[self.resources_key]
for data in body:
value = self.existing(**data)
yield value
<|end_body_0|>
<|body_start_1|>
if not self.allow_create:
raise exceptions.Met... | RecordSet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecordSet:
def _translate_recordsets(self, response, has_body=True):
"""In order to handle the response. Response example: {"recordsets": [ {"id":"fcb86eb9-8f8d-4cfd-8309-9052236d75df", "zone_id":"d4f0ea0e-edb6-4bbb-aefd-2944457be234", "records":["203.0.143.22"], "ttl":3600,"name":"ns3.b... | stack_v2_sparse_classes_36k_train_028025 | 7,046 | permissive | [
{
"docstring": "In order to handle the response. Response example: {\"recordsets\": [ {\"id\":\"fcb86eb9-8f8d-4cfd-8309-9052236d75df\", \"zone_id\":\"d4f0ea0e-edb6-4bbb-aefd-2944457be234\", \"records\":[\"203.0.143.22\"], \"ttl\":3600,\"name\":\"ns3.base.co.jp.\", \"description\":null,\"type\":\"A\",\"version\"... | 4 | null | Implement the Python class `RecordSet` described below.
Class description:
Implement the RecordSet class.
Method signatures and docstrings:
- def _translate_recordsets(self, response, has_body=True): In order to handle the response. Response example: {"recordsets": [ {"id":"fcb86eb9-8f8d-4cfd-8309-9052236d75df", "zon... | Implement the Python class `RecordSet` described below.
Class description:
Implement the RecordSet class.
Method signatures and docstrings:
- def _translate_recordsets(self, response, has_body=True): In order to handle the response. Response example: {"recordsets": [ {"id":"fcb86eb9-8f8d-4cfd-8309-9052236d75df", "zon... | c2dafba850c4e6fb55b5e10de79257bbc9a01af3 | <|skeleton|>
class RecordSet:
def _translate_recordsets(self, response, has_body=True):
"""In order to handle the response. Response example: {"recordsets": [ {"id":"fcb86eb9-8f8d-4cfd-8309-9052236d75df", "zone_id":"d4f0ea0e-edb6-4bbb-aefd-2944457be234", "records":["203.0.143.22"], "ttl":3600,"name":"ns3.b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RecordSet:
def _translate_recordsets(self, response, has_body=True):
"""In order to handle the response. Response example: {"recordsets": [ {"id":"fcb86eb9-8f8d-4cfd-8309-9052236d75df", "zone_id":"d4f0ea0e-edb6-4bbb-aefd-2944457be234", "records":["203.0.143.22"], "ttl":3600,"name":"ns3.base.co.jp.", "... | the_stack_v2_python_sparse | ecl/dns/v2/recordset.py | nttcom/eclsdk | train | 5 | |
00dfefaa2e5862a770a21fca1ff2cf2270656e93 | [
"dummy: ListNode = ListNode(0)\nlength: int = 0\ndummy.next = head\nfirst: ListNode = head\nwhile first != None:\n length += 1\n first = first.next\nlength -= n\nfirst = dummy\nwhile length > 0:\n length -= 1\n first = first.next\nfirst.next = first.next.next\nreturn dummy.next",
"dummy: ListNode = Li... | <|body_start_0|>
dummy: ListNode = ListNode(0)
length: int = 0
dummy.next = head
first: ListNode = head
while first != None:
length += 1
first = first.next
length -= n
first = dummy
while length > 0:
length -= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
"""2 pass solution :param head: :param n: :return:"""
<|body_0|>
def removeNthFromEndOnePass(self, head: ListNode, n: int) -> ListNode:
"""1 pass solution :param head: :param n: :return:"""
... | stack_v2_sparse_classes_36k_train_028026 | 1,462 | no_license | [
{
"docstring": "2 pass solution :param head: :param n: :return:",
"name": "removeNthFromEnd",
"signature": "def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode"
},
{
"docstring": "1 pass solution :param head: :param n: :return:",
"name": "removeNthFromEndOnePass",
"signature":... | 2 | stack_v2_sparse_classes_30k_test_000311 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode: 2 pass solution :param head: :param n: :return:
- def removeNthFromEndOnePass(self, head: ListNode, n: int) -> Lis... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode: 2 pass solution :param head: :param n: :return:
- def removeNthFromEndOnePass(self, head: ListNode, n: int) -> Lis... | 7138db92a5fabf2347ff669a77268083dfced8da | <|skeleton|>
class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
"""2 pass solution :param head: :param n: :return:"""
<|body_0|>
def removeNthFromEndOnePass(self, head: ListNode, n: int) -> ListNode:
"""1 pass solution :param head: :param n: :return:"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
"""2 pass solution :param head: :param n: :return:"""
dummy: ListNode = ListNode(0)
length: int = 0
dummy.next = head
first: ListNode = head
while first != None:
length += 1
... | the_stack_v2_python_sparse | leetcode/19_remove_Nth_node_from_end_of_list.py | Merical/education_ai | train | 0 | |
8819d780952b43f52093c7d3799ff708a2b246b7 | [
"if instance is None:\n return self\nreturn list(instance._udf_resources)",
"if not all((isinstance(u, UDFResource) for u in value)):\n raise ValueError('udf items must be UDFResource')\ninstance._udf_resources = tuple(value)"
] | <|body_start_0|>
if instance is None:
return self
return list(instance._udf_resources)
<|end_body_0|>
<|body_start_1|>
if not all((isinstance(u, UDFResource) for u in value)):
raise ValueError('udf items must be UDFResource')
instance._udf_resources = tuple(value... | Custom property type, holding :class:`UDFResource` instances. | UDFResourcesProperty | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UDFResourcesProperty:
"""Custom property type, holding :class:`UDFResource` instances."""
def __get__(self, instance, owner):
"""Descriptor protocol: accessor"""
<|body_0|>
def __set__(self, instance, value):
"""Descriptor protocol: mutator"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_028027 | 7,448 | no_license | [
{
"docstring": "Descriptor protocol: accessor",
"name": "__get__",
"signature": "def __get__(self, instance, owner)"
},
{
"docstring": "Descriptor protocol: mutator",
"name": "__set__",
"signature": "def __set__(self, instance, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009572 | Implement the Python class `UDFResourcesProperty` described below.
Class description:
Custom property type, holding :class:`UDFResource` instances.
Method signatures and docstrings:
- def __get__(self, instance, owner): Descriptor protocol: accessor
- def __set__(self, instance, value): Descriptor protocol: mutator | Implement the Python class `UDFResourcesProperty` described below.
Class description:
Custom property type, holding :class:`UDFResource` instances.
Method signatures and docstrings:
- def __get__(self, instance, owner): Descriptor protocol: accessor
- def __set__(self, instance, value): Descriptor protocol: mutator
... | c97dd7b906e5ef3ec157581fd0bcadd3e3fc220e | <|skeleton|>
class UDFResourcesProperty:
"""Custom property type, holding :class:`UDFResource` instances."""
def __get__(self, instance, owner):
"""Descriptor protocol: accessor"""
<|body_0|>
def __set__(self, instance, value):
"""Descriptor protocol: mutator"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UDFResourcesProperty:
"""Custom property type, holding :class:`UDFResource` instances."""
def __get__(self, instance, owner):
"""Descriptor protocol: accessor"""
if instance is None:
return self
return list(instance._udf_resources)
def __set__(self, instance, valu... | the_stack_v2_python_sparse | files/usr/tmp/pip-build-nyxh8e0k/google-cloud-bigquery/google/cloud/bigquery/_helpers.py | vo0doO/com.termux | train | 2 |
3aeb877815f49077258d06a08324ea1f55f1f285 | [
"try:\n data = get_requested_data()\n digest = get_digest_result(data['ledger_name'])\n return digest\nexcept Exception as e:\n logger.exception('Unable to get a ledger digest!')\n return fail_response('Unable to delete the ledger. Please try again.', HTTPStatus.UNPROCESSABLE_ENTITY)",
"try:\n d... | <|body_start_0|>
try:
data = get_requested_data()
digest = get_digest_result(data['ledger_name'])
return digest
except Exception as e:
logger.exception('Unable to get a ledger digest!')
return fail_response('Unable to delete the ledger. Please ... | VerifiableServices | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VerifiableServices:
def get_digest_result(self):
"""Retrieving the digest of a particular ledger."""
<|body_0|>
def verify_block(self):
"""Get a journal block from a QLDB ledger. After getting the block, we get the digest of the ledger and validate the proof returned... | stack_v2_sparse_classes_36k_train_028028 | 2,049 | permissive | [
{
"docstring": "Retrieving the digest of a particular ledger.",
"name": "get_digest_result",
"signature": "def get_digest_result(self)"
},
{
"docstring": "Get a journal block from a QLDB ledger. After getting the block, we get the digest of the ledger and validate the proof returned in the getBl... | 2 | stack_v2_sparse_classes_30k_test_000972 | Implement the Python class `VerifiableServices` described below.
Class description:
Implement the VerifiableServices class.
Method signatures and docstrings:
- def get_digest_result(self): Retrieving the digest of a particular ledger.
- def verify_block(self): Get a journal block from a QLDB ledger. After getting the... | Implement the Python class `VerifiableServices` described below.
Class description:
Implement the VerifiableServices class.
Method signatures and docstrings:
- def get_digest_result(self): Retrieving the digest of a particular ledger.
- def verify_block(self): Get a journal block from a QLDB ledger. After getting the... | dff793c6981ae5d300bfdf8b6531ca459b484a12 | <|skeleton|>
class VerifiableServices:
def get_digest_result(self):
"""Retrieving the digest of a particular ledger."""
<|body_0|>
def verify_block(self):
"""Get a journal block from a QLDB ledger. After getting the block, we get the digest of the ledger and validate the proof returned... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VerifiableServices:
def get_digest_result(self):
"""Retrieving the digest of a particular ledger."""
try:
data = get_requested_data()
digest = get_digest_result(data['ledger_name'])
return digest
except Exception as e:
logger.exception('U... | the_stack_v2_python_sparse | hash_chain/app/modules/ledger/verifiable/services.py | ledgerfoundation/flask-qldb-boilerplate | train | 0 | |
b38ace5c0202c2ca25f9f9f7b5ad2949fe212712 | [
"theta, phi = param_util.cart2polar(x, y)\nf_ = 1.0 / 2 * kappa_ext * theta ** 2\nreturn f_",
"f_x = kappa_ext * x\nf_y = kappa_ext * y\nreturn (f_x, f_y)",
"gamma1 = 0\ngamma2 = 0\nkappa = kappa_ext\nf_xx = kappa + gamma1\nf_yy = kappa - gamma1\nf_xy = gamma2\nreturn (f_xx, f_yy, f_xy)"
] | <|body_start_0|>
theta, phi = param_util.cart2polar(x, y)
f_ = 1.0 / 2 * kappa_ext * theta ** 2
return f_
<|end_body_0|>
<|body_start_1|>
f_x = kappa_ext * x
f_y = kappa_ext * y
return (f_x, f_y)
<|end_body_1|>
<|body_start_2|>
gamma1 = 0
gamma2 = 0
... | a single mass sheet (external convergence) | MassSheet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MassSheet:
"""a single mass sheet (external convergence)"""
def function(self, x, y, kappa_ext):
"""lensing potential :param x: x-coordinate :param y: y-coordinate :param kappa_ext: external convergence :return: lensing potential"""
<|body_0|>
def derivatives(self, x, y,... | stack_v2_sparse_classes_36k_train_028029 | 1,428 | permissive | [
{
"docstring": "lensing potential :param x: x-coordinate :param y: y-coordinate :param kappa_ext: external convergence :return: lensing potential",
"name": "function",
"signature": "def function(self, x, y, kappa_ext)"
},
{
"docstring": "deflection angle :param x: x-coordinate :param y: y-coordi... | 3 | stack_v2_sparse_classes_30k_train_005145 | Implement the Python class `MassSheet` described below.
Class description:
a single mass sheet (external convergence)
Method signatures and docstrings:
- def function(self, x, y, kappa_ext): lensing potential :param x: x-coordinate :param y: y-coordinate :param kappa_ext: external convergence :return: lensing potenti... | Implement the Python class `MassSheet` described below.
Class description:
a single mass sheet (external convergence)
Method signatures and docstrings:
- def function(self, x, y, kappa_ext): lensing potential :param x: x-coordinate :param y: y-coordinate :param kappa_ext: external convergence :return: lensing potenti... | dcdfc61ce5351ac94565228c822f1c94392c1ad6 | <|skeleton|>
class MassSheet:
"""a single mass sheet (external convergence)"""
def function(self, x, y, kappa_ext):
"""lensing potential :param x: x-coordinate :param y: y-coordinate :param kappa_ext: external convergence :return: lensing potential"""
<|body_0|>
def derivatives(self, x, y,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MassSheet:
"""a single mass sheet (external convergence)"""
def function(self, x, y, kappa_ext):
"""lensing potential :param x: x-coordinate :param y: y-coordinate :param kappa_ext: external convergence :return: lensing potential"""
theta, phi = param_util.cart2polar(x, y)
f_ = 1.... | the_stack_v2_python_sparse | lenstronomy/LensModel/Profiles/mass_sheet.py | guoxiaowhu/lenstronomy | train | 1 |
274249474a90cf743e2ab9414cac17c62aa4f169 | [
"assert dataset, 'Groundtruth should not be empty.'\nassert isinstance(dataset, dict), 'annotation file format {} not supported'.format(type(dataset))\nself.anns, self.cats, self.imgs = (dict(), dict(), dict())\nself.dataset = copy.deepcopy(dataset)\nself.createIndex()",
"res = MaskCOCO()\nres.dataset['images'] =... | <|body_start_0|>
assert dataset, 'Groundtruth should not be empty.'
assert isinstance(dataset, dict), 'annotation file format {} not supported'.format(type(dataset))
self.anns, self.cats, self.imgs = (dict(), dict(), dict())
self.dataset = copy.deepcopy(dataset)
self.createIndex(... | COCO object for mask evaluation. | MaskCOCO | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaskCOCO:
"""COCO object for mask evaluation."""
def reset(self, dataset):
"""Reset the dataset and groundtruth data index in this object. Args: dataset: dict of groundtruth data. It should has similar structure as the COCO groundtruth JSON file. Must contains three keys: {'images', ... | stack_v2_sparse_classes_36k_train_028030 | 14,113 | permissive | [
{
"docstring": "Reset the dataset and groundtruth data index in this object. Args: dataset: dict of groundtruth data. It should has similar structure as the COCO groundtruth JSON file. Must contains three keys: {'images', 'annotations', 'categories'}. 'images': list of image information dictionary. Required key... | 3 | stack_v2_sparse_classes_30k_train_011850 | Implement the Python class `MaskCOCO` described below.
Class description:
COCO object for mask evaluation.
Method signatures and docstrings:
- def reset(self, dataset): Reset the dataset and groundtruth data index in this object. Args: dataset: dict of groundtruth data. It should has similar structure as the COCO gro... | Implement the Python class `MaskCOCO` described below.
Class description:
COCO object for mask evaluation.
Method signatures and docstrings:
- def reset(self, dataset): Reset the dataset and groundtruth data index in this object. Args: dataset: dict of groundtruth data. It should has similar structure as the COCO gro... | a5388a45f71a949639b35cc5b990bd130d2d8164 | <|skeleton|>
class MaskCOCO:
"""COCO object for mask evaluation."""
def reset(self, dataset):
"""Reset the dataset and groundtruth data index in this object. Args: dataset: dict of groundtruth data. It should has similar structure as the COCO groundtruth JSON file. Must contains three keys: {'images', ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MaskCOCO:
"""COCO object for mask evaluation."""
def reset(self, dataset):
"""Reset the dataset and groundtruth data index in this object. Args: dataset: dict of groundtruth data. It should has similar structure as the COCO groundtruth JSON file. Must contains three keys: {'images', 'annotations'... | the_stack_v2_python_sparse | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/coco_metric.py | NVIDIA/DeepLearningExamples | train | 11,838 |
25e6bca6d987e023b87c232451ec8798cb7468fb | [
"self.description = description\nself.destination_guid = destination_guid\nself.display_name = display_name\nself.distinguished_name = distinguished_name\nself.error_message = error_message\nself.object_class = object_class\nself.search_result_flags = search_result_flags\nself.source_guid = source_guid",
"if dict... | <|body_start_0|>
self.description = description
self.destination_guid = destination_guid
self.display_name = display_name
self.distinguished_name = distinguished_name
self.error_message = error_message
self.object_class = object_class
self.search_result_flags = se... | Implementation of the 'ADObject' model. Represents the details about an AD object. Attributes: description (string): Specifies the 'description' of an AD object. destination_guid (string): Specifies the guid of object in the Production AD which is equivalent to the object in the Snapshot AD. display_name (string): Spec... | ADObject | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ADObject:
"""Implementation of the 'ADObject' model. Represents the details about an AD object. Attributes: description (string): Specifies the 'description' of an AD object. destination_guid (string): Specifies the guid of object in the Production AD which is equivalent to the object in the Snap... | stack_v2_sparse_classes_36k_train_028031 | 4,321 | permissive | [
{
"docstring": "Constructor for the ADObject class",
"name": "__init__",
"signature": "def __init__(self, description=None, destination_guid=None, display_name=None, distinguished_name=None, error_message=None, object_class=None, search_result_flags=None, source_guid=None)"
},
{
"docstring": "Cr... | 2 | null | Implement the Python class `ADObject` described below.
Class description:
Implementation of the 'ADObject' model. Represents the details about an AD object. Attributes: description (string): Specifies the 'description' of an AD object. destination_guid (string): Specifies the guid of object in the Production AD which ... | Implement the Python class `ADObject` described below.
Class description:
Implementation of the 'ADObject' model. Represents the details about an AD object. Attributes: description (string): Specifies the 'description' of an AD object. destination_guid (string): Specifies the guid of object in the Production AD which ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ADObject:
"""Implementation of the 'ADObject' model. Represents the details about an AD object. Attributes: description (string): Specifies the 'description' of an AD object. destination_guid (string): Specifies the guid of object in the Production AD which is equivalent to the object in the Snap... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ADObject:
"""Implementation of the 'ADObject' model. Represents the details about an AD object. Attributes: description (string): Specifies the 'description' of an AD object. destination_guid (string): Specifies the guid of object in the Production AD which is equivalent to the object in the Snapshot AD. disp... | the_stack_v2_python_sparse | cohesity_management_sdk/models/ad_object.py | cohesity/management-sdk-python | train | 24 |
0c3c1d313039885d916b11af7b2de1063b38f102 | [
"if not root:\n return ''\nres = []\nqueue = [root]\nwhile queue:\n size = len(queue)\n for _ in range(size):\n node = queue.pop(0)\n res.append(str(node.val) if node else str(node))\n if node is None:\n continue\n queue.append(node.left)\n queue.append(node.ri... | <|body_start_0|>
if not root:
return ''
res = []
queue = [root]
while queue:
size = len(queue)
for _ in range(size):
node = queue.pop(0)
res.append(str(node.val) if node else str(node))
if node is None:
... | 广度优先收缩BFS实现 | Codec2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec2:
"""广度优先收缩BFS实现"""
def serialize(root):
"""序列化 :param root: (TreeNode) :return: (str)"""
<|body_0|>
def deserialize(data):
"""反序列化 :param data: (str) :return: (TreeNode)"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
... | stack_v2_sparse_classes_36k_train_028032 | 5,822 | no_license | [
{
"docstring": "序列化 :param root: (TreeNode) :return: (str)",
"name": "serialize",
"signature": "def serialize(root)"
},
{
"docstring": "反序列化 :param data: (str) :return: (TreeNode)",
"name": "deserialize",
"signature": "def deserialize(data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003868 | Implement the Python class `Codec2` described below.
Class description:
广度优先收缩BFS实现
Method signatures and docstrings:
- def serialize(root): 序列化 :param root: (TreeNode) :return: (str)
- def deserialize(data): 反序列化 :param data: (str) :return: (TreeNode) | Implement the Python class `Codec2` described below.
Class description:
广度优先收缩BFS实现
Method signatures and docstrings:
- def serialize(root): 序列化 :param root: (TreeNode) :return: (str)
- def deserialize(data): 反序列化 :param data: (str) :return: (TreeNode)
<|skeleton|>
class Codec2:
"""广度优先收缩BFS实现"""
def serial... | 497c9717d783bb9f2d2675a3b254ec406582d849 | <|skeleton|>
class Codec2:
"""广度优先收缩BFS实现"""
def serialize(root):
"""序列化 :param root: (TreeNode) :return: (str)"""
<|body_0|>
def deserialize(data):
"""反序列化 :param data: (str) :return: (TreeNode)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec2:
"""广度优先收缩BFS实现"""
def serialize(root):
"""序列化 :param root: (TreeNode) :return: (str)"""
if not root:
return ''
res = []
queue = [root]
while queue:
size = len(queue)
for _ in range(size):
node = queue.pop(... | the_stack_v2_python_sparse | 297.二叉树的序列化与反序列化/Codec.py | boyshen/leetcode_Algorithm_problem | train | 0 |
15a006c12b580155cded0191999f722a6bd2191d | [
"na = len(zs)\nself.na = na\nself.zs = zs\nself.coords = coords\nself.cell = np.array(cell)\nself.coords_f = np.linalg.solve(self.cell.T, coords.T).T\nls = np.linalg.norm(cell, axis=0)\nself.ls = ls\nself.a = ls[0]\nself.b = ls[1]\nself.c = ls[2]\nself.ias = np.arange(na)\nself.rcut = rcut",
"i, j, k = idx\nif i ... | <|body_start_0|>
na = len(zs)
self.na = na
self.zs = zs
self.coords = coords
self.cell = np.array(cell)
self.coords_f = np.linalg.solve(self.cell.T, coords.T).T
ls = np.linalg.norm(cell, axis=0)
self.ls = ls
self.a = ls[0]
self.b = ls[1]
... | MolPBC | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MolPBC:
def __init__(self, zs, coords, cell, rcut=9.0):
"""a mol obj with pbc"""
<|body_0|>
def get_ext_cell(self, idx):
"""get a new extended cell with index `idx"""
<|body_1|>
def get_nmax(self, ia, axis, sign):
"""Get maximal num of cells to b... | stack_v2_sparse_classes_36k_train_028033 | 4,133 | permissive | [
{
"docstring": "a mol obj with pbc",
"name": "__init__",
"signature": "def __init__(self, zs, coords, cell, rcut=9.0)"
},
{
"docstring": "get a new extended cell with index `idx",
"name": "get_ext_cell",
"signature": "def get_ext_cell(self, idx)"
},
{
"docstring": "Get maximal nu... | 4 | stack_v2_sparse_classes_30k_train_020641 | Implement the Python class `MolPBC` described below.
Class description:
Implement the MolPBC class.
Method signatures and docstrings:
- def __init__(self, zs, coords, cell, rcut=9.0): a mol obj with pbc
- def get_ext_cell(self, idx): get a new extended cell with index `idx
- def get_nmax(self, ia, axis, sign): Get ma... | Implement the Python class `MolPBC` described below.
Class description:
Implement the MolPBC class.
Method signatures and docstrings:
- def __init__(self, zs, coords, cell, rcut=9.0): a mol obj with pbc
- def get_ext_cell(self, idx): get a new extended cell with index `idx
- def get_nmax(self, ia, axis, sign): Get ma... | b8632885c52f307fedc62a81ef4c9b88cc51edfa | <|skeleton|>
class MolPBC:
def __init__(self, zs, coords, cell, rcut=9.0):
"""a mol obj with pbc"""
<|body_0|>
def get_ext_cell(self, idx):
"""get a new extended cell with index `idx"""
<|body_1|>
def get_nmax(self, ia, axis, sign):
"""Get maximal num of cells to b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MolPBC:
def __init__(self, zs, coords, cell, rcut=9.0):
"""a mol obj with pbc"""
na = len(zs)
self.na = na
self.zs = zs
self.coords = coords
self.cell = np.array(cell)
self.coords_f = np.linalg.solve(self.cell.T, coords.T).T
ls = np.linalg.norm(c... | the_stack_v2_python_sparse | coreml/cml/molext.py | binghuang2018/aqml | train | 31 | |
dac80dbed2c2661c42470f54a1080f20ac234a3a | [
"self.post_reqparser = reqparse.RequestParser()\nself.post_reqparser.add_argument('email', required=True, help='email field is required', location=['form', 'json'], store_missing=False)\nself.post_reqparser.add_argument('fullname', required=False, location=['form', 'json'], store_missing=False)\nself.post_reqparser... | <|body_start_0|>
self.post_reqparser = reqparse.RequestParser()
self.post_reqparser.add_argument('email', required=True, help='email field is required', location=['form', 'json'], store_missing=False)
self.post_reqparser.add_argument('fullname', required=False, location=['form', 'json'], store_m... | EditUser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditUser:
def __init__(self) -> None:
"""Initialises the edit user end point"""
<|body_0|>
def post(self) -> (str, int):
"""POST request that allows user to change their credentials in the Users table. A valid access JWT is required where the admin claim has to be Tr... | stack_v2_sparse_classes_36k_train_028034 | 3,274 | permissive | [
{
"docstring": "Initialises the edit user end point",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "POST request that allows user to change their credentials in the Users table. A valid access JWT is required where the admin claim has to be True Parameters can ... | 2 | stack_v2_sparse_classes_30k_train_005473 | Implement the Python class `EditUser` described below.
Class description:
Implement the EditUser class.
Method signatures and docstrings:
- def __init__(self) -> None: Initialises the edit user end point
- def post(self) -> (str, int): POST request that allows user to change their credentials in the Users table. A va... | Implement the Python class `EditUser` described below.
Class description:
Implement the EditUser class.
Method signatures and docstrings:
- def __init__(self) -> None: Initialises the edit user end point
- def post(self) -> (str, int): POST request that allows user to change their credentials in the Users table. A va... | 5d123691d1f25d0b85e20e4e8293266bf23c9f8a | <|skeleton|>
class EditUser:
def __init__(self) -> None:
"""Initialises the edit user end point"""
<|body_0|>
def post(self) -> (str, int):
"""POST request that allows user to change their credentials in the Users table. A valid access JWT is required where the admin claim has to be Tr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EditUser:
def __init__(self) -> None:
"""Initialises the edit user end point"""
self.post_reqparser = reqparse.RequestParser()
self.post_reqparser.add_argument('email', required=True, help='email field is required', location=['form', 'json'], store_missing=False)
self.post_reqp... | the_stack_v2_python_sparse | Analytics/resources/admin/edit_user.py | thanosbnt/SharingCitiesDashboard | train | 0 | |
21eb7295a2f7bd804c180a5a3c7ac25c3c75b09b | [
"if activation == 'logistic':\n self.activation = logistic\n self.activation_deriv = logistic_deriv\nelse:\n self.activation = tanh\n self.activation_deriv = tanh_deriv\nself.weights = list()\nfor i in range(1, len(layers) - 1):\n self.weights.append((2 * np.random.random((layers[i - 1] + 1, layers[i... | <|body_start_0|>
if activation == 'logistic':
self.activation = logistic
self.activation_deriv = logistic_deriv
else:
self.activation = tanh
self.activation_deriv = tanh_deriv
self.weights = list()
for i in range(1, len(layers) - 1):
... | 定义一个神经网路类 | NeuralNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NeuralNetwork:
"""定义一个神经网路类"""
def __init__(self, layers, activation='tanh'):
"""初始化"""
<|body_0|>
def fit(self, X, y, learning_rate=0.2, epochs=10000):
"""训练更新权重"""
<|body_1|>
def predict(self, x):
"""预测"""
<|body_2|>
<|end_skeleton... | stack_v2_sparse_classes_36k_train_028035 | 2,884 | no_license | [
{
"docstring": "初始化",
"name": "__init__",
"signature": "def __init__(self, layers, activation='tanh')"
},
{
"docstring": "训练更新权重",
"name": "fit",
"signature": "def fit(self, X, y, learning_rate=0.2, epochs=10000)"
},
{
"docstring": "预测",
"name": "predict",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_train_003454 | Implement the Python class `NeuralNetwork` described below.
Class description:
定义一个神经网路类
Method signatures and docstrings:
- def __init__(self, layers, activation='tanh'): 初始化
- def fit(self, X, y, learning_rate=0.2, epochs=10000): 训练更新权重
- def predict(self, x): 预测 | Implement the Python class `NeuralNetwork` described below.
Class description:
定义一个神经网路类
Method signatures and docstrings:
- def __init__(self, layers, activation='tanh'): 初始化
- def fit(self, X, y, learning_rate=0.2, epochs=10000): 训练更新权重
- def predict(self, x): 预测
<|skeleton|>
class NeuralNetwork:
"""定义一个神经网路类"... | 7e42ae34ce704958a2a5a47bdd0312371cc3cb5e | <|skeleton|>
class NeuralNetwork:
"""定义一个神经网路类"""
def __init__(self, layers, activation='tanh'):
"""初始化"""
<|body_0|>
def fit(self, X, y, learning_rate=0.2, epochs=10000):
"""训练更新权重"""
<|body_1|>
def predict(self, x):
"""预测"""
<|body_2|>
<|end_skeleton... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NeuralNetwork:
"""定义一个神经网路类"""
def __init__(self, layers, activation='tanh'):
"""初始化"""
if activation == 'logistic':
self.activation = logistic
self.activation_deriv = logistic_deriv
else:
self.activation = tanh
self.activation_deriv... | the_stack_v2_python_sparse | NN/NeuralNetwork.py | jameszlj/Deep_Learning | train | 1 |
5cb6a38077d96992c9d3954dfdcced388d019f47 | [
"params = self.get_set_params(locals())\nresponse = await self.api.request('status.get', params)\nmodel = status.GetResponse\nreturn model(**response).response",
"params = self.get_set_params(locals())\nresponse = await self.api.request('status.set', params)\nmodel = base.OkResponse\nreturn model(**response).resp... | <|body_start_0|>
params = self.get_set_params(locals())
response = await self.api.request('status.get', params)
model = status.GetResponse
return model(**response).response
<|end_body_0|>
<|body_start_1|>
params = self.get_set_params(locals())
response = await self.api.r... | StatusCategory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StatusCategory:
async def get(self, user_id: Optional[int]=None, group_id: Optional[int]=None, **kwargs) -> status.GetResponseModel:
"""Returns data required to show the status of a user or community. :param user_id: User ID or community ID. Use a negative value to designate a community ... | stack_v2_sparse_classes_36k_train_028036 | 1,141 | permissive | [
{
"docstring": "Returns data required to show the status of a user or community. :param user_id: User ID or community ID. Use a negative value to designate a community ID. :param group_id:",
"name": "get",
"signature": "async def get(self, user_id: Optional[int]=None, group_id: Optional[int]=None, **kwa... | 2 | null | Implement the Python class `StatusCategory` described below.
Class description:
Implement the StatusCategory class.
Method signatures and docstrings:
- async def get(self, user_id: Optional[int]=None, group_id: Optional[int]=None, **kwargs) -> status.GetResponseModel: Returns data required to show the status of a use... | Implement the Python class `StatusCategory` described below.
Class description:
Implement the StatusCategory class.
Method signatures and docstrings:
- async def get(self, user_id: Optional[int]=None, group_id: Optional[int]=None, **kwargs) -> status.GetResponseModel: Returns data required to show the status of a use... | dfcedd4023aa170dd7f802ac662f0e2ed9033904 | <|skeleton|>
class StatusCategory:
async def get(self, user_id: Optional[int]=None, group_id: Optional[int]=None, **kwargs) -> status.GetResponseModel:
"""Returns data required to show the status of a user or community. :param user_id: User ID or community ID. Use a negative value to designate a community ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StatusCategory:
async def get(self, user_id: Optional[int]=None, group_id: Optional[int]=None, **kwargs) -> status.GetResponseModel:
"""Returns data required to show the status of a user or community. :param user_id: User ID or community ID. Use a negative value to designate a community ID. :param gro... | the_stack_v2_python_sparse | codegen/results/methods/status.py | ScriptHound/vkbottle-types | train | 0 | |
2e648863358d28b6e51b02c889f552470b3591d0 | [
"assert bins_dict.keys() == spacing_dict.keys()\nself.bins = bins_dict\nself.spacing = spacing_dict\nself.bins1 = {}\nself.bins2 = {}\nself.binsc = {}\nself.nbins = {}\nfor key in self.bins.keys():\n self._add_bin_edges(key)\n self.nbins[key] = len(self.bins1[key])\nds = xr.Dataset(coords=self.binsc)\nfor sbi... | <|body_start_0|>
assert bins_dict.keys() == spacing_dict.keys()
self.bins = bins_dict
self.spacing = spacing_dict
self.bins1 = {}
self.bins2 = {}
self.binsc = {}
self.nbins = {}
for key in self.bins.keys():
self._add_bin_edges(key)
... | Grid This object creates grids used to compute occurrence and completeness | Grid | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Grid:
"""Grid This object creates grids used to compute occurrence and completeness"""
def __init__(self, bins_dict, spacing_dict):
"""Lay down grid for computing occurrence Args: bins_dict (dict): Dictionary of lists defining bins. e.g.: {'per': [5,10,20], 'prad': [1,2,4], 'smet': [... | stack_v2_sparse_classes_36k_train_028037 | 2,239 | permissive | [
{
"docstring": "Lay down grid for computing occurrence Args: bins_dict (dict): Dictionary of lists defining bins. e.g.: {'per': [5,10,20], 'prad': [1,2,4], 'smet': [-0.4,0.0,0.4]} spacing_dict (dict): Specify linear or log spacing e.g.: {'per': 'log', 'prad': 'log', 'smet': 'linear'}",
"name": "__init__",
... | 2 | stack_v2_sparse_classes_30k_train_001375 | Implement the Python class `Grid` described below.
Class description:
Grid This object creates grids used to compute occurrence and completeness
Method signatures and docstrings:
- def __init__(self, bins_dict, spacing_dict): Lay down grid for computing occurrence Args: bins_dict (dict): Dictionary of lists defining ... | Implement the Python class `Grid` described below.
Class description:
Grid This object creates grids used to compute occurrence and completeness
Method signatures and docstrings:
- def __init__(self, bins_dict, spacing_dict): Lay down grid for computing occurrence Args: bins_dict (dict): Dictionary of lists defining ... | 744ec6c6f332a47467b853de4b526fdd6a00727a | <|skeleton|>
class Grid:
"""Grid This object creates grids used to compute occurrence and completeness"""
def __init__(self, bins_dict, spacing_dict):
"""Lay down grid for computing occurrence Args: bins_dict (dict): Dictionary of lists defining bins. e.g.: {'per': [5,10,20], 'prad': [1,2,4], 'smet': [... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Grid:
"""Grid This object creates grids used to compute occurrence and completeness"""
def __init__(self, bins_dict, spacing_dict):
"""Lay down grid for computing occurrence Args: bins_dict (dict): Dictionary of lists defining bins. e.g.: {'per': [5,10,20], 'prad': [1,2,4], 'smet': [-0.4,0.0,0.4]... | the_stack_v2_python_sparse | ckscool/grid.py | petigura/CKS-Cool | train | 1 |
1b3c49cc7d392ec6c2a1d37c07be2f44a9ec2fcc | [
"self.integration_cls = integration_cls\nmanager = self.get_integration_manager()\ntry:\n manager.register_integration_class(self.integration_cls)\nexcept IntegrationError as e:\n logging.exception('%s could not register integration class %s with %s: %s', self.extension.__class__.__name__, self.__class__.__na... | <|body_start_0|>
self.integration_cls = integration_cls
manager = self.get_integration_manager()
try:
manager.register_integration_class(self.integration_cls)
except IntegrationError as e:
logging.exception('%s could not register integration class %s with %s: %s',... | Base class for an extension hook for integration management. Integrations enable any supporting application to connect with third-party services in specialized ways. This class makes it easy to register new integrations on an extension, binding their lifecycles to that of the extension. This is not intended to be used ... | BaseIntegrationHook | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseIntegrationHook:
"""Base class for an extension hook for integration management. Integrations enable any supporting application to connect with third-party services in specialized ways. This class makes it easy to register new integrations on an extension, binding their lifecycles to that of ... | stack_v2_sparse_classes_36k_train_028038 | 2,775 | no_license | [
{
"docstring": "Initialize the hook. The provided integration will be registered with the integration manager. Args: integration_cls (type): The integration class to register.",
"name": "initialize",
"signature": "def initialize(self, integration_cls: Type[Integration]) -> None"
},
{
"docstring"... | 2 | null | Implement the Python class `BaseIntegrationHook` described below.
Class description:
Base class for an extension hook for integration management. Integrations enable any supporting application to connect with third-party services in specialized ways. This class makes it easy to register new integrations on an extensio... | Implement the Python class `BaseIntegrationHook` described below.
Class description:
Base class for an extension hook for integration management. Integrations enable any supporting application to connect with third-party services in specialized ways. This class makes it easy to register new integrations on an extensio... | 99ea69d80a3a393b0da4da3152ef26e808dd8487 | <|skeleton|>
class BaseIntegrationHook:
"""Base class for an extension hook for integration management. Integrations enable any supporting application to connect with third-party services in specialized ways. This class makes it easy to register new integrations on an extension, binding their lifecycles to that of ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseIntegrationHook:
"""Base class for an extension hook for integration management. Integrations enable any supporting application to connect with third-party services in specialized ways. This class makes it easy to register new integrations on an extension, binding their lifecycles to that of the extension... | the_stack_v2_python_sparse | djblets/integrations/hooks.py | chipx86/djblets | train | 2 |
e09e2e34347d63da2de0e4dd69f6d337ab35bd83 | [
"self._extra_text = extra_text\nshell.ShellCommand.__init__(self, **kw)\nself.addFactoryArguments(extra_text=extra_text)",
"if cmd.rc == 0 and self._extra_text:\n name, url = self._extra_text\n self.addURL(self.build.render(name), self.build.render(url))"
] | <|body_start_0|>
self._extra_text = extra_text
shell.ShellCommand.__init__(self, **kw)
self.addFactoryArguments(extra_text=extra_text)
<|end_body_0|>
<|body_start_1|>
if cmd.rc == 0 and self._extra_text:
name, url = self._extra_text
self.addURL(self.build.render(... | A ShellCommand subclass that adorns its build status with a URL on success. | _UrlStatusCommand | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _UrlStatusCommand:
"""A ShellCommand subclass that adorns its build status with a URL on success."""
def __init__(self, extra_text=None, **kw):
"""Initialize the buildstep. Args: extra_text: a tuple of (name, url) to pass to addUrl on successful completion."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_028039 | 7,138 | no_license | [
{
"docstring": "Initialize the buildstep. Args: extra_text: a tuple of (name, url) to pass to addUrl on successful completion.",
"name": "__init__",
"signature": "def __init__(self, extra_text=None, **kw)"
},
{
"docstring": "On success, add the URL provided to our status.",
"name": "commandC... | 2 | null | Implement the Python class `_UrlStatusCommand` described below.
Class description:
A ShellCommand subclass that adorns its build status with a URL on success.
Method signatures and docstrings:
- def __init__(self, extra_text=None, **kw): Initialize the buildstep. Args: extra_text: a tuple of (name, url) to pass to ad... | Implement the Python class `_UrlStatusCommand` described below.
Class description:
A ShellCommand subclass that adorns its build status with a URL on success.
Method signatures and docstrings:
- def __init__(self, extra_text=None, **kw): Initialize the buildstep. Args: extra_text: a tuple of (name, url) to pass to ad... | 516718f9b7b95c4280257b2d319638d4728a90e1 | <|skeleton|>
class _UrlStatusCommand:
"""A ShellCommand subclass that adorns its build status with a URL on success."""
def __init__(self, extra_text=None, **kw):
"""Initialize the buildstep. Args: extra_text: a tuple of (name, url) to pass to addUrl on successful completion."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _UrlStatusCommand:
"""A ShellCommand subclass that adorns its build status with a URL on success."""
def __init__(self, extra_text=None, **kw):
"""Initialize the buildstep. Args: extra_text: a tuple of (name, url) to pass to addUrl on successful completion."""
self._extra_text = extra_tex... | the_stack_v2_python_sparse | build/scripts/master/factory/syzygy_commands.py | mhcchang/chromium30 | train | 0 |
ad5481e9b26a8ea9f9d56a19ed369ce6fad3ce59 | [
"user = request.user\ncheck_user_status(user)\nuser_id = user.id\nvalidate(instance=request.data, schema=schemas.food_insert_edit_schema)\nbody = request.data\nPendingFood.field_validate(body)\nrestaurant = PendingRestaurant.get_by_owner(user_id)\ndish = PendingFood.edit_dish(dish_id, body, restaurant._id)\nreturn ... | <|body_start_0|>
user = request.user
check_user_status(user)
user_id = user.id
validate(instance=request.data, schema=schemas.food_insert_edit_schema)
body = request.data
PendingFood.field_validate(body)
restaurant = PendingRestaurant.get_by_owner(user_id)
... | PendingDish view for updating or deleting | PendingDishModifyDeleteView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PendingDishModifyDeleteView:
"""PendingDish view for updating or deleting"""
def put(self, request, dish_id):
"""Updates dish data"""
<|body_0|>
def delete(self, request, dish_id):
"""Deletes dish from database"""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_36k_train_028040 | 19,356 | no_license | [
{
"docstring": "Updates dish data",
"name": "put",
"signature": "def put(self, request, dish_id)"
},
{
"docstring": "Deletes dish from database",
"name": "delete",
"signature": "def delete(self, request, dish_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003338 | Implement the Python class `PendingDishModifyDeleteView` described below.
Class description:
PendingDish view for updating or deleting
Method signatures and docstrings:
- def put(self, request, dish_id): Updates dish data
- def delete(self, request, dish_id): Deletes dish from database | Implement the Python class `PendingDishModifyDeleteView` described below.
Class description:
PendingDish view for updating or deleting
Method signatures and docstrings:
- def put(self, request, dish_id): Updates dish data
- def delete(self, request, dish_id): Deletes dish from database
<|skeleton|>
class PendingDish... | 2707062c9a9a8bb4baca955e8a60ba08cc9f8953 | <|skeleton|>
class PendingDishModifyDeleteView:
"""PendingDish view for updating or deleting"""
def put(self, request, dish_id):
"""Updates dish data"""
<|body_0|>
def delete(self, request, dish_id):
"""Deletes dish from database"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PendingDishModifyDeleteView:
"""PendingDish view for updating or deleting"""
def put(self, request, dish_id):
"""Updates dish data"""
user = request.user
check_user_status(user)
user_id = user.id
validate(instance=request.data, schema=schemas.food_insert_edit_schem... | the_stack_v2_python_sparse | backend/restaurant/views.py | MochiTarts/Find-Dining-The-Bridge | train | 1 |
574a8c24c6bb07ec132dbe769645484988ee4f9a | [
"if num == 0:\n return 0\nreturn num % 9 if num % 9 != 0 else 9",
"sum, temp = (0, num)\nwhile True:\n while True:\n sum += temp % 10\n temp //= 10\n if temp == 0:\n break\n if sum < 10:\n break\n temp, sum = (sum, 0)\nreturn sum"
] | <|body_start_0|>
if num == 0:
return 0
return num % 9 if num % 9 != 0 else 9
<|end_body_0|>
<|body_start_1|>
sum, temp = (0, num)
while True:
while True:
sum += temp % 10
temp //= 10
if temp == 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def addDigits(self, num):
""":type num: int :rtype: int"""
<|body_0|>
def addDigits_work(self, num):
""":type num: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if num == 0:
return 0
return num % 9 if ... | stack_v2_sparse_classes_36k_train_028041 | 1,486 | no_license | [
{
"docstring": ":type num: int :rtype: int",
"name": "addDigits",
"signature": "def addDigits(self, num)"
},
{
"docstring": ":type num: int :rtype: int",
"name": "addDigits_work",
"signature": "def addDigits_work(self, num)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addDigits(self, num): :type num: int :rtype: int
- def addDigits_work(self, num): :type num: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addDigits(self, num): :type num: int :rtype: int
- def addDigits_work(self, num): :type num: int :rtype: int
<|skeleton|>
class Solution:
def addDigits(self, num):
... | 3f0ffd519404165fd1a735441b212c801fd1ad1e | <|skeleton|>
class Solution:
def addDigits(self, num):
""":type num: int :rtype: int"""
<|body_0|>
def addDigits_work(self, num):
""":type num: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def addDigits(self, num):
""":type num: int :rtype: int"""
if num == 0:
return 0
return num % 9 if num % 9 != 0 else 9
def addDigits_work(self, num):
""":type num: int :rtype: int"""
sum, temp = (0, num)
while True:
while T... | the_stack_v2_python_sparse | Problems/0200_0299/0258_Add_Digits/Project_Python3/Add_Digits.py | NobuyukiInoue/LeetCode | train | 0 | |
c2e8fd24cab06b5e51fa1c979bcd40a34d721e21 | [
"for i, target in enumerate(targets):\n for key in ('Index', 'Min Value', 'Max Value'):\n assert key in target, f'Target {i} is missing key \"{key}\".'\nself._targets = targets",
"replaced_parameters = parameters.clone().detach()\nfor i, target in enumerate(self._targets):\n index = target['Index']\n... | <|body_start_0|>
for i, target in enumerate(targets):
for key in ('Index', 'Min Value', 'Max Value'):
assert key in target, f'Target {i} is missing key "{key}".'
self._targets = targets
<|end_body_0|>
<|body_start_1|>
replaced_parameters = parameters.clone().detach()... | The SubstitutionTransform class replaces a set of SVBRDF parameter maps with random fields. | SubstitutionTransform | [
"MIT",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubstitutionTransform:
"""The SubstitutionTransform class replaces a set of SVBRDF parameter maps with random fields."""
def __init__(self, targets: List[Dict]) -> None:
"""Constructs a new SubstitutionTransform with the given list of SVBRDF parameter map targets. Args: targets: SVBR... | stack_v2_sparse_classes_36k_train_028042 | 5,164 | permissive | [
{
"docstring": "Constructs a new SubstitutionTransform with the given list of SVBRDF parameter map targets. Args: targets: SVBRDF parameter map targets.",
"name": "__init__",
"signature": "def __init__(self, targets: List[Dict]) -> None"
},
{
"docstring": "See Transform.apply().",
"name": "a... | 2 | stack_v2_sparse_classes_30k_train_019977 | Implement the Python class `SubstitutionTransform` described below.
Class description:
The SubstitutionTransform class replaces a set of SVBRDF parameter maps with random fields.
Method signatures and docstrings:
- def __init__(self, targets: List[Dict]) -> None: Constructs a new SubstitutionTransform with the given ... | Implement the Python class `SubstitutionTransform` described below.
Class description:
The SubstitutionTransform class replaces a set of SVBRDF parameter maps with random fields.
Method signatures and docstrings:
- def __init__(self, targets: List[Dict]) -> None: Constructs a new SubstitutionTransform with the given ... | 7e7282698befd53383cbd6566039340babb0a289 | <|skeleton|>
class SubstitutionTransform:
"""The SubstitutionTransform class replaces a set of SVBRDF parameter maps with random fields."""
def __init__(self, targets: List[Dict]) -> None:
"""Constructs a new SubstitutionTransform with the given list of SVBRDF parameter map targets. Args: targets: SVBR... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubstitutionTransform:
"""The SubstitutionTransform class replaces a set of SVBRDF parameter maps with random fields."""
def __init__(self, targets: List[Dict]) -> None:
"""Constructs a new SubstitutionTransform with the given list of SVBRDF parameter map targets. Args: targets: SVBRDF parameter ... | the_stack_v2_python_sparse | project/transform.py | Mandrenkov/SVBRDF-Texture-Synthesis | train | 3 |
39b2110306ffbf176b3fc00fee4e37696b58f44c | [
"heads, tails = data\ntest_stat = abs(heads - tails)\nreturn test_stat",
"heads, tails = self.data\nn = heads + tails\nsample = [random.choice('HT') for _ in range(n)]\nhist = thinkstats2.Hist(sample)\ndata = (hist['H'], hist['T'])\nreturn data"
] | <|body_start_0|>
heads, tails = data
test_stat = abs(heads - tails)
return test_stat
<|end_body_0|>
<|body_start_1|>
heads, tails = self.data
n = heads + tails
sample = [random.choice('HT') for _ in range(n)]
hist = thinkstats2.Hist(sample)
data = (hist['... | Tests the hypothesis that a coin is fair. | CoinTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CoinTest:
"""Tests the hypothesis that a coin is fair."""
def TestStatistic(self, data):
"""Computes the test statistic. data: data in whatever form is relevant"""
<|body_0|>
def RunModel(self):
"""Run the model of the null hypothesis. returns: simulated data"""
... | stack_v2_sparse_classes_36k_train_028043 | 10,162 | permissive | [
{
"docstring": "Computes the test statistic. data: data in whatever form is relevant",
"name": "TestStatistic",
"signature": "def TestStatistic(self, data)"
},
{
"docstring": "Run the model of the null hypothesis. returns: simulated data",
"name": "RunModel",
"signature": "def RunModel(s... | 2 | stack_v2_sparse_classes_30k_train_020007 | Implement the Python class `CoinTest` described below.
Class description:
Tests the hypothesis that a coin is fair.
Method signatures and docstrings:
- def TestStatistic(self, data): Computes the test statistic. data: data in whatever form is relevant
- def RunModel(self): Run the model of the null hypothesis. return... | Implement the Python class `CoinTest` described below.
Class description:
Tests the hypothesis that a coin is fair.
Method signatures and docstrings:
- def TestStatistic(self, data): Computes the test statistic. data: data in whatever form is relevant
- def RunModel(self): Run the model of the null hypothesis. return... | 30a85d5137db95e01461ad21519bc1bdf294044b | <|skeleton|>
class CoinTest:
"""Tests the hypothesis that a coin is fair."""
def TestStatistic(self, data):
"""Computes the test statistic. data: data in whatever form is relevant"""
<|body_0|>
def RunModel(self):
"""Run the model of the null hypothesis. returns: simulated data"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CoinTest:
"""Tests the hypothesis that a coin is fair."""
def TestStatistic(self, data):
"""Computes the test statistic. data: data in whatever form is relevant"""
heads, tails = data
test_stat = abs(heads - tails)
return test_stat
def RunModel(self):
"""Run t... | the_stack_v2_python_sparse | CompStats/hypothesis.py | sunny2309/scipy_conf_notebooks | train | 2 |
41f8c7ff6393be932c3033fddd821c8b11a77842 | [
"course_run = CourseRunFactory.create(course__program__financial_aid_availability=True, course__program__live=True)\ncourse = course_run.course\nProgramEnrollment.objects.create(program=course.program, user=user)\ncoupon1_auto = CouponFactory.create(coupon_type=Coupon.DISCOUNTED_PREVIOUS_COURSE, content_object=cour... | <|body_start_0|>
course_run = CourseRunFactory.create(course__program__financial_aid_availability=True, course__program__live=True)
course = course_run.course
ProgramEnrollment.objects.create(program=course.program, user=user)
coupon1_auto = CouponFactory.create(coupon_type=Coupon.DISCOU... | Tests for pick_coupon | PickCouponTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PickCouponTests:
"""Tests for pick_coupon"""
def _create_coupons(cls, user):
"""Create some coupons"""
<|body_0|>
def setUpTestData(cls):
"""Set up some coupons"""
<|body_1|>
def test_pick_coupon(self):
"""Tests for happy case"""
<|bo... | stack_v2_sparse_classes_36k_train_028044 | 41,111 | permissive | [
{
"docstring": "Create some coupons",
"name": "_create_coupons",
"signature": "def _create_coupons(cls, user)"
},
{
"docstring": "Set up some coupons",
"name": "setUpTestData",
"signature": "def setUpTestData(cls)"
},
{
"docstring": "Tests for happy case",
"name": "test_pick_... | 5 | null | Implement the Python class `PickCouponTests` described below.
Class description:
Tests for pick_coupon
Method signatures and docstrings:
- def _create_coupons(cls, user): Create some coupons
- def setUpTestData(cls): Set up some coupons
- def test_pick_coupon(self): Tests for happy case
- def test_attached_to_other_u... | Implement the Python class `PickCouponTests` described below.
Class description:
Tests for pick_coupon
Method signatures and docstrings:
- def _create_coupons(cls, user): Create some coupons
- def setUpTestData(cls): Set up some coupons
- def test_pick_coupon(self): Tests for happy case
- def test_attached_to_other_u... | d6564caca0b7bbfd31e67a751564107fd17d6eb0 | <|skeleton|>
class PickCouponTests:
"""Tests for pick_coupon"""
def _create_coupons(cls, user):
"""Create some coupons"""
<|body_0|>
def setUpTestData(cls):
"""Set up some coupons"""
<|body_1|>
def test_pick_coupon(self):
"""Tests for happy case"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PickCouponTests:
"""Tests for pick_coupon"""
def _create_coupons(cls, user):
"""Create some coupons"""
course_run = CourseRunFactory.create(course__program__financial_aid_availability=True, course__program__live=True)
course = course_run.course
ProgramEnrollment.objects.cr... | the_stack_v2_python_sparse | ecommerce/api_test.py | mitodl/micromasters | train | 35 |
73a08a944039b4fc8c0b18c7f70d89221dee9841 | [
"_id = request.args.get('id', None)\nif not _id:\n return ({'msg': 'params error !'}, 400)\ntry:\n result = mongo_algo.db.algo_info.find_one({'_id': bson.ObjectId(_id)}, {'algo_weakness': 1})\n if not result:\n return ({'msg': 'id is not exist !'}, 200)\nexcept Exception as e:\n logging.error(e, ... | <|body_start_0|>
_id = request.args.get('id', None)
if not _id:
return ({'msg': 'params error !'}, 400)
try:
result = mongo_algo.db.algo_info.find_one({'_id': bson.ObjectId(_id)}, {'algo_weakness': 1})
if not result:
return ({'msg': 'id is not ... | AlgoWeaknessViews | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlgoWeaknessViews:
def get(self):
"""get one algo weakness through id :return:"""
<|body_0|>
def post(self):
"""add an algo weakness record :return:"""
<|body_1|>
def put(self):
"""update algo weakness record :return:"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k_train_028045 | 20,183 | no_license | [
{
"docstring": "get one algo weakness through id :return:",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "add an algo weakness record :return:",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "update algo weakness record :return:",
"name": "p... | 3 | stack_v2_sparse_classes_30k_train_003469 | Implement the Python class `AlgoWeaknessViews` described below.
Class description:
Implement the AlgoWeaknessViews class.
Method signatures and docstrings:
- def get(self): get one algo weakness through id :return:
- def post(self): add an algo weakness record :return:
- def put(self): update algo weakness record :re... | Implement the Python class `AlgoWeaknessViews` described below.
Class description:
Implement the AlgoWeaknessViews class.
Method signatures and docstrings:
- def get(self): get one algo weakness through id :return:
- def post(self): add an algo weakness record :return:
- def put(self): update algo weakness record :re... | 054324b50e807d6f4e98f4a1b67afac9a0653b06 | <|skeleton|>
class AlgoWeaknessViews:
def get(self):
"""get one algo weakness through id :return:"""
<|body_0|>
def post(self):
"""add an algo weakness record :return:"""
<|body_1|>
def put(self):
"""update algo weakness record :return:"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AlgoWeaknessViews:
def get(self):
"""get one algo weakness through id :return:"""
_id = request.args.get('id', None)
if not _id:
return ({'msg': 'params error !'}, 400)
try:
result = mongo_algo.db.algo_info.find_one({'_id': bson.ObjectId(_id)}, {'algo_we... | the_stack_v2_python_sparse | services/AlgoVersion/views.py | condilin/DMS | train | 0 | |
7f48e77790dac742ac97cb74d9eb4a7b17f2cfcb | [
"self.client_id = client_id\nself.is_worm_enabled = is_worm_enabled\nself.storage_access_key = storage_access_key\nself.storage_account_name = storage_account_name\nself.tier_type = tier_type\nself.tiers = tiers",
"if dictionary is None:\n return None\nclient_id = dictionary.get('clientId')\nis_worm_enabled = ... | <|body_start_0|>
self.client_id = client_id
self.is_worm_enabled = is_worm_enabled
self.storage_access_key = storage_access_key
self.storage_account_name = storage_account_name
self.tier_type = tier_type
self.tiers = tiers
<|end_body_0|>
<|body_start_1|>
if dicti... | Implementation of the 'AzureCloudCredentials' model. Specifies the cloud credentials to connect to a Microsoft Azure service account. Attributes: client_id (string): Specifies the client id of the managed identity assigned to the cluster. This is used only for clusters running as Azure VMs where authentication is done ... | AzureCloudCredentials | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AzureCloudCredentials:
"""Implementation of the 'AzureCloudCredentials' model. Specifies the cloud credentials to connect to a Microsoft Azure service account. Attributes: client_id (string): Specifies the client id of the managed identity assigned to the cluster. This is used only for clusters r... | stack_v2_sparse_classes_36k_train_028046 | 3,634 | permissive | [
{
"docstring": "Constructor for the AzureCloudCredentials class",
"name": "__init__",
"signature": "def __init__(self, client_id=None, is_worm_enabled=None, storage_access_key=None, storage_account_name=None, tier_type=None, tiers=None)"
},
{
"docstring": "Creates an instance of this model from ... | 2 | stack_v2_sparse_classes_30k_train_003634 | Implement the Python class `AzureCloudCredentials` described below.
Class description:
Implementation of the 'AzureCloudCredentials' model. Specifies the cloud credentials to connect to a Microsoft Azure service account. Attributes: client_id (string): Specifies the client id of the managed identity assigned to the cl... | Implement the Python class `AzureCloudCredentials` described below.
Class description:
Implementation of the 'AzureCloudCredentials' model. Specifies the cloud credentials to connect to a Microsoft Azure service account. Attributes: client_id (string): Specifies the client id of the managed identity assigned to the cl... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class AzureCloudCredentials:
"""Implementation of the 'AzureCloudCredentials' model. Specifies the cloud credentials to connect to a Microsoft Azure service account. Attributes: client_id (string): Specifies the client id of the managed identity assigned to the cluster. This is used only for clusters r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AzureCloudCredentials:
"""Implementation of the 'AzureCloudCredentials' model. Specifies the cloud credentials to connect to a Microsoft Azure service account. Attributes: client_id (string): Specifies the client id of the managed identity assigned to the cluster. This is used only for clusters running as Azu... | the_stack_v2_python_sparse | cohesity_management_sdk/models/azure_cloud_credentials.py | cohesity/management-sdk-python | train | 24 |
0c537649fc89f3a6db7c05b8ef1c75265fe7524d | [
"selection = ~reflection_table.get_flags(reflection_table.flags.bad_for_scaling, all=False)\nreflection_table = reflection_table.select(selection)\nlogger.info('Selected %d scaled reflections', reflection_table.size())\nassert 'inverse_scale_factor' in reflection_table\nselection = reflection_table['inverse_scale_f... | <|body_start_0|>
selection = ~reflection_table.get_flags(reflection_table.flags.bad_for_scaling, all=False)
reflection_table = reflection_table.select(selection)
logger.info('Selected %d scaled reflections', reflection_table.size())
assert 'inverse_scale_factor' in reflection_table
... | Reduction methods for data with sum intensities. | ScaleIntensityReducer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScaleIntensityReducer:
"""Reduction methods for data with sum intensities."""
def reduce_on_intensities(reflection_table):
"""Select intensities used for scaling and remove scaling outliers."""
<|body_0|>
def apply_scaling_factors(reflection_table):
"""Apply the ... | stack_v2_sparse_classes_36k_train_028047 | 38,270 | permissive | [
{
"docstring": "Select intensities used for scaling and remove scaling outliers.",
"name": "reduce_on_intensities",
"signature": "def reduce_on_intensities(reflection_table)"
},
{
"docstring": "Apply the inverse scale factor to the scale intensities.",
"name": "apply_scaling_factors",
"s... | 2 | null | Implement the Python class `ScaleIntensityReducer` described below.
Class description:
Reduction methods for data with sum intensities.
Method signatures and docstrings:
- def reduce_on_intensities(reflection_table): Select intensities used for scaling and remove scaling outliers.
- def apply_scaling_factors(reflecti... | Implement the Python class `ScaleIntensityReducer` described below.
Class description:
Reduction methods for data with sum intensities.
Method signatures and docstrings:
- def reduce_on_intensities(reflection_table): Select intensities used for scaling and remove scaling outliers.
- def apply_scaling_factors(reflecti... | 88bf7f7c5ac44defc046ebf0719cde748092cfff | <|skeleton|>
class ScaleIntensityReducer:
"""Reduction methods for data with sum intensities."""
def reduce_on_intensities(reflection_table):
"""Select intensities used for scaling and remove scaling outliers."""
<|body_0|>
def apply_scaling_factors(reflection_table):
"""Apply the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ScaleIntensityReducer:
"""Reduction methods for data with sum intensities."""
def reduce_on_intensities(reflection_table):
"""Select intensities used for scaling and remove scaling outliers."""
selection = ~reflection_table.get_flags(reflection_table.flags.bad_for_scaling, all=False)
... | the_stack_v2_python_sparse | src/dials/util/filter_reflections.py | dials/dials | train | 71 |
33cacae84e47139775a2407ea61b72fd141fa657 | [
"k = k % len(nums)\nfor i in range(k):\n n = nums.pop(-1)\n print(n)\n nums.insert(0, n)",
"k = k % len(nums)\nl = len(nums) - k\nnums[:l] = nums[:-k][::-1]\nnums[l:] = nums[l:][::-1]\nnums[:] = nums[::-1]"
] | <|body_start_0|>
k = k % len(nums)
for i in range(k):
n = nums.pop(-1)
print(n)
nums.insert(0, n)
<|end_body_0|>
<|body_start_1|>
k = k % len(nums)
l = len(nums) - k
nums[:l] = nums[:-k][::-1]
nums[l:] = nums[l:][::-1]
nums[:] ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def rotate2(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify n... | stack_v2_sparse_classes_36k_train_028048 | 821 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead.",
"name": "rotate",
"signature": "def rotate(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place inste... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, nums, k): :type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead.
- def rotate2(self, nums, k): :type nums: List[in... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, nums, k): :type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead.
- def rotate2(self, nums, k): :type nums: List[in... | 0fc4c7af59246e3064db41989a45d9db413a624b | <|skeleton|>
class Solution:
def rotate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def rotate2(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def rotate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead."""
k = k % len(nums)
for i in range(k):
n = nums.pop(-1)
print(n)
nums.insert(0, n)
def rotate2(self, n... | the_stack_v2_python_sparse | 189. Rotate Array/rotate.py | Macielyoung/LeetCode | train | 1 | |
e6e8b3178b0e07708afd0621074e604acc4bcd66 | [
"maxd = 0\nn = len(height)\nleft = 0\nright = n - 1\nwhile left != right:\n maxd = max(maxd, (right - left) * min(height[left], height[right]))\n if height[left] < height[right]:\n left = left + 1\n else:\n right = right - 1",
"maxd = 0\nmaxi = 0\nn = len(height)\nfor i in range(0, n - 1):\... | <|body_start_0|>
maxd = 0
n = len(height)
left = 0
right = n - 1
while left != right:
maxd = max(maxd, (right - left) * min(height[left], height[right]))
if height[left] < height[right]:
left = left + 1
else:
rig... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea2(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
maxd = 0
n = len(height)
lef... | stack_v2_sparse_classes_36k_train_028049 | 950 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea2",
"signature": "def maxArea2(self, height)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): :type height: List[int] :rtype: int
- def maxArea2(self, height): :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): :type height: List[int] :rtype: int
- def maxArea2(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxArea(se... | 94b46e6c89d254d9dafc504f14c60136403b7ae8 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea2(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
maxd = 0
n = len(height)
left = 0
right = n - 1
while left != right:
maxd = max(maxd, (right - left) * min(height[left], height[right]))
if height[left] < heig... | the_stack_v2_python_sparse | leetcode_maxArea.py | lp2016/New_Algorithm | train | 0 | |
226588d33a552c740343051bd913df90dc4ff76e | [
"if len(nums) == 0:\n return 0\nans = 1\ncnt = 1\nfor i in range(len(nums) - 1):\n if nums[i + 1] > nums[i]:\n cnt += 1\n else:\n ans = max(ans, cnt)\n cnt = 1\nreturn max(ans, cnt)",
"if len(nums) == 0:\n return 0\nans = 1\ncnt = 1\nfor i in range(len(nums) - 1):\n if nums[i +... | <|body_start_0|>
if len(nums) == 0:
return 0
ans = 1
cnt = 1
for i in range(len(nums) - 1):
if nums[i + 1] > nums[i]:
cnt += 1
else:
ans = max(ans, cnt)
cnt = 1
return max(ans, cnt)
<|end_body_0|>... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype:... | stack_v2_sparse_classes_36k_train_028050 | 1,330 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findLengthOfLCIS",
"signature": "def findLengthOfLCIS(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findLengthOfLCIS",
"signature": "def findLengthOfLCIS(self, nums)"
},
{
"docstring": ":t... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findLengthOfLCIS(self, nums): :type nums: List[int] :rtype: int
- def findLengthOfLCIS(self, nums): :type nums: List[int] :rtype: int
- def findLengthOfLCIS(self, nums): :typ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findLengthOfLCIS(self, nums): :type nums: List[int] :rtype: int
- def findLengthOfLCIS(self, nums): :type nums: List[int] :rtype: int
- def findLengthOfLCIS(self, nums): :typ... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Solution:
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findLengthOfLCIS(self, nums):
""":type nums: List[int] :rtype: int"""
if len(nums) == 0:
return 0
ans = 1
cnt = 1
for i in range(len(nums) - 1):
if nums[i + 1] > nums[i]:
cnt += 1
else:
an... | the_stack_v2_python_sparse | 0674_Longest_Continuous_Increasing_Subsequence.py | bingli8802/leetcode | train | 0 | |
6b723ca5b76215f0ff4561982dea69962aef9f0a | [
"if not string:\n return Strings.EMPTY\nif not isinstance(string, str):\n string = str(string)\nstring = string.strip().lower()\nif string.startswith(('a ', 'an ')):\n return Strings.EMPTY\nif Strings.is_vowel(string[0]):\n return 'an'\nreturn 'a'",
"intensifiers = ['', 'rather', 'slightly', 'very', '... | <|body_start_0|>
if not string:
return Strings.EMPTY
if not isinstance(string, str):
string = str(string)
string = string.strip().lower()
if string.startswith(('a ', 'an ')):
return Strings.EMPTY
if Strings.is_vowel(string[0]):
retu... | Class docstring. | Utils | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Utils:
"""Class docstring."""
def article_for(cls, string):
"""Method docstring."""
<|body_0|>
def random_intensifier(cls, uniform=False):
"""Method docstring."""
<|body_1|>
def scan_for_values_with_key(cls, obj, key):
"""Method docstring."""... | stack_v2_sparse_classes_36k_train_028051 | 1,557 | no_license | [
{
"docstring": "Method docstring.",
"name": "article_for",
"signature": "def article_for(cls, string)"
},
{
"docstring": "Method docstring.",
"name": "random_intensifier",
"signature": "def random_intensifier(cls, uniform=False)"
},
{
"docstring": "Method docstring.",
"name":... | 3 | stack_v2_sparse_classes_30k_train_014346 | Implement the Python class `Utils` described below.
Class description:
Class docstring.
Method signatures and docstrings:
- def article_for(cls, string): Method docstring.
- def random_intensifier(cls, uniform=False): Method docstring.
- def scan_for_values_with_key(cls, obj, key): Method docstring. | Implement the Python class `Utils` described below.
Class description:
Class docstring.
Method signatures and docstrings:
- def article_for(cls, string): Method docstring.
- def random_intensifier(cls, uniform=False): Method docstring.
- def scan_for_values_with_key(cls, obj, key): Method docstring.
<|skeleton|>
cla... | f4c2533cd4543717b57743b8dabd783fa7cfcd60 | <|skeleton|>
class Utils:
"""Class docstring."""
def article_for(cls, string):
"""Method docstring."""
<|body_0|>
def random_intensifier(cls, uniform=False):
"""Method docstring."""
<|body_1|>
def scan_for_values_with_key(cls, obj, key):
"""Method docstring."""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Utils:
"""Class docstring."""
def article_for(cls, string):
"""Method docstring."""
if not string:
return Strings.EMPTY
if not isinstance(string, str):
string = str(string)
string = string.strip().lower()
if string.startswith(('a ', 'an ')):... | the_stack_v2_python_sparse | rng/helpers/utils.py | janvanoverwalle/random-npc-generator | train | 0 |
3240599a6d7020ad76f4dbee420a104a4627ae5f | [
"if len(nums) == 0:\n return 0\nelif len(nums) < 2:\n return max(nums[0], nums[-1])\nmoney = [0] * len(nums)\nmoney[0], money[1] = (nums[0], max(nums[0], nums[1]))\nfor i in range(2, len(nums)):\n money[i] = max(nums[i] + money[i - 2], money[i - 1])\nreturn money[len(nums) - 1]",
"last, now = (0, 0)\nfor... | <|body_start_0|>
if len(nums) == 0:
return 0
elif len(nums) < 2:
return max(nums[0], nums[-1])
money = [0] * len(nums)
money[0], money[1] = (nums[0], max(nums[0], nums[1]))
for i in range(2, len(nums)):
money[i] = max(nums[i] + money[i - 2], mo... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rob(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def rob_2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(nums) == 0:
return 0
elif len(nu... | stack_v2_sparse_classes_36k_train_028052 | 1,466 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "rob",
"signature": "def rob(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "rob_2",
"signature": "def rob_2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001652 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rob(self, nums): :type nums: List[int] :rtype: int
- def rob_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 rob(self, nums): :type nums: List[int] :rtype: int
- def rob_2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def rob(self, nums):
... | 6bb1cf5f5a2c21a3a23198f179b0a608fcb5dbfc | <|skeleton|>
class Solution:
def rob(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def rob_2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def rob(self, nums):
""":type nums: List[int] :rtype: int"""
if len(nums) == 0:
return 0
elif len(nums) < 2:
return max(nums[0], nums[-1])
money = [0] * len(nums)
money[0], money[1] = (nums[0], max(nums[0], nums[1]))
for i in ra... | the_stack_v2_python_sparse | House Robber.py | zq13xw24/leetcode | train | 0 | |
e73f6f03de31540061c0dbab0caf0f7c9f09522c | [
"filename = base_utils.getFileName(file)\nresource = f'/inspection/api/v1/content/{id}'\nresponse = item_fixture.request('POST', resource, files={'file': (filename, open(file, 'rb'), fileType)})\nreturn response",
"resource = f'/inspection/api/v1/formInstances/{id}/document'\nresponse = item_fixture.request('GET'... | <|body_start_0|>
filename = base_utils.getFileName(file)
resource = f'/inspection/api/v1/content/{id}'
response = item_fixture.request('POST', resource, files={'file': (filename, open(file, 'rb'), fileType)})
return response
<|end_body_0|>
<|body_start_1|>
resource = f'/inspecti... | 文档 | Content | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Content:
"""文档"""
def contentPOST(self, item_fixture, id, file, fileType=None):
"""上次表单"""
<|body_0|>
def contentGET(self, item_fixture, id):
"""获取表单"""
<|body_1|>
def downcontentGET(self, item_fixture, id):
"""下载表单附件"""
<|body_2|>
... | stack_v2_sparse_classes_36k_train_028053 | 2,417 | no_license | [
{
"docstring": "上次表单",
"name": "contentPOST",
"signature": "def contentPOST(self, item_fixture, id, file, fileType=None)"
},
{
"docstring": "获取表单",
"name": "contentGET",
"signature": "def contentGET(self, item_fixture, id)"
},
{
"docstring": "下载表单附件",
"name": "downcontentGET"... | 5 | stack_v2_sparse_classes_30k_test_000253 | Implement the Python class `Content` described below.
Class description:
文档
Method signatures and docstrings:
- def contentPOST(self, item_fixture, id, file, fileType=None): 上次表单
- def contentGET(self, item_fixture, id): 获取表单
- def downcontentGET(self, item_fixture, id): 下载表单附件
- def documentsPOST(self, item_fixture,... | Implement the Python class `Content` described below.
Class description:
文档
Method signatures and docstrings:
- def contentPOST(self, item_fixture, id, file, fileType=None): 上次表单
- def contentGET(self, item_fixture, id): 获取表单
- def downcontentGET(self, item_fixture, id): 下载表单附件
- def documentsPOST(self, item_fixture,... | f875de62f7f505c596ea5567e1fc2c8a64010f87 | <|skeleton|>
class Content:
"""文档"""
def contentPOST(self, item_fixture, id, file, fileType=None):
"""上次表单"""
<|body_0|>
def contentGET(self, item_fixture, id):
"""获取表单"""
<|body_1|>
def downcontentGET(self, item_fixture, id):
"""下载表单附件"""
<|body_2|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Content:
"""文档"""
def contentPOST(self, item_fixture, id, file, fileType=None):
"""上次表单"""
filename = base_utils.getFileName(file)
resource = f'/inspection/api/v1/content/{id}'
response = item_fixture.request('POST', resource, files={'file': (filename, open(file, 'rb'), fi... | the_stack_v2_python_sparse | swagger/api/inspection/content.py | zhangjingwen198817/pytest-api-allure | train | 1 |
a561a2e51230978c04ed1465f1a80268798cc7c2 | [
"self.id = id\nself.business_name = business_name\nself.category_id = category_id\nself.business_address = business_address\nself.contact = contact\nself.receiving_method = receiving_method\nself.created_at = APIHelper.RFC3339DateTime(created_at) if created_at else None\nself.status = status",
"if dictionary is N... | <|body_start_0|>
self.id = id
self.business_name = business_name
self.category_id = category_id
self.business_address = business_address
self.contact = contact
self.receiving_method = receiving_method
self.created_at = APIHelper.RFC3339DateTime(created_at) if crea... | Implementation of the 'Recipient' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. business_name (string): TODO: type description here. category_id (uuid|string): TODO: type description here. business_address (RecipientAddress): TODO: type description here. contact (C... | Recipient | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Recipient:
"""Implementation of the 'Recipient' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. business_name (string): TODO: type description here. category_id (uuid|string): TODO: type description here. business_address (RecipientAddress): TO... | stack_v2_sparse_classes_36k_train_028054 | 3,665 | permissive | [
{
"docstring": "Constructor for the Recipient class",
"name": "__init__",
"signature": "def __init__(self, id=None, business_name=None, category_id=None, business_address=None, contact=None, receiving_method=None, created_at=None, status=None)"
},
{
"docstring": "Creates an instance of this mode... | 2 | stack_v2_sparse_classes_30k_train_003412 | Implement the Python class `Recipient` described below.
Class description:
Implementation of the 'Recipient' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. business_name (string): TODO: type description here. category_id (uuid|string): TODO: type description here. ... | Implement the Python class `Recipient` described below.
Class description:
Implementation of the 'Recipient' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. business_name (string): TODO: type description here. category_id (uuid|string): TODO: type description here. ... | e1ca52116aabfcdb2f36c24ebd866cf00bb5c6c9 | <|skeleton|>
class Recipient:
"""Implementation of the 'Recipient' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. business_name (string): TODO: type description here. category_id (uuid|string): TODO: type description here. business_address (RecipientAddress): TO... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Recipient:
"""Implementation of the 'Recipient' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. business_name (string): TODO: type description here. category_id (uuid|string): TODO: type description here. business_address (RecipientAddress): TODO: type desc... | the_stack_v2_python_sparse | plastiqpublicapi/models/recipient.py | jeffkynaston/sdk-spike-python-apimatic | train | 0 |
ce4274fcd44bc68f02b6ba636e5a10a230af5341 | [
"if control is not None:\n control = format.control(control)\nself.update_attributes({'workflowId': workflow_id, 'control': control, 'runId': run_id})",
"if input is not None:\n input = format.input(input)\nif control is not None:\n control = format.control(control)\nself.update_attributes({'signalName':... | <|body_start_0|>
if control is not None:
control = format.control(control)
self.update_attributes({'workflowId': workflow_id, 'control': control, 'runId': run_id})
<|end_body_0|>
<|body_start_1|>
if input is not None:
input = format.input(input)
if control is not... | ExternalWorkflowExecutionDecision | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExternalWorkflowExecutionDecision:
def request_cancel(self, workflow_id: str, control: dict[str, Any] | None=None, run_id: str | None=None) -> None:
"""External workflow execution decision builder :param workflow_id: id of the external workflow execution to cancel :param control: data at... | stack_v2_sparse_classes_36k_train_028055 | 7,634 | permissive | [
{
"docstring": "External workflow execution decision builder :param workflow_id: id of the external workflow execution to cancel :param control: data attached to the event that can be used by the decider in subsequent workflow tasks :param run_id: run id of the external workflow execution to cancel",
"name"... | 2 | null | Implement the Python class `ExternalWorkflowExecutionDecision` described below.
Class description:
Implement the ExternalWorkflowExecutionDecision class.
Method signatures and docstrings:
- def request_cancel(self, workflow_id: str, control: dict[str, Any] | None=None, run_id: str | None=None) -> None: External workf... | Implement the Python class `ExternalWorkflowExecutionDecision` described below.
Class description:
Implement the ExternalWorkflowExecutionDecision class.
Method signatures and docstrings:
- def request_cancel(self, workflow_id: str, control: dict[str, Any] | None=None, run_id: str | None=None) -> None: External workf... | 9e2b3186e109723862555fe0779394ae318d8380 | <|skeleton|>
class ExternalWorkflowExecutionDecision:
def request_cancel(self, workflow_id: str, control: dict[str, Any] | None=None, run_id: str | None=None) -> None:
"""External workflow execution decision builder :param workflow_id: id of the external workflow execution to cancel :param control: data at... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExternalWorkflowExecutionDecision:
def request_cancel(self, workflow_id: str, control: dict[str, Any] | None=None, run_id: str | None=None) -> None:
"""External workflow execution decision builder :param workflow_id: id of the external workflow execution to cancel :param control: data attached to the ... | the_stack_v2_python_sparse | swf/models/decision/workflow.py | botify-labs/simpleflow | train | 72 | |
fc486c7c98e826d1fde31d12455cfc483350108e | [
"self.arr = vec2d\nself.outer_pointer = 0\nself.inner_pointer = 0",
"if self.hasNext():\n v = self.arr[self.outer_pointer][self.inner_pointer]\n self.inner_pointer += 1\n return v",
"while self.outer_pointer < len(self.arr):\n if self.inner_pointer < len(self.arr[self.outer_pointer]):\n retur... | <|body_start_0|>
self.arr = vec2d
self.outer_pointer = 0
self.inner_pointer = 0
<|end_body_0|>
<|body_start_1|>
if self.hasNext():
v = self.arr[self.outer_pointer][self.inner_pointer]
self.inner_pointer += 1
return v
<|end_body_1|>
<|body_start_2|>
... | Vector2D | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Vector2D:
def __init__(self, vec2d):
"""Initialize your data structure here. :type vec2d: List[List[int]]"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_36k_train_028056 | 960 | no_license | [
{
"docstring": "Initialize your data structure here. :type vec2d: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, vec2d)"
},
{
"docstring": ":rtype: int",
"name": "next",
"signature": "def next(self)"
},
{
"docstring": ":rtype: bool",
"name": "hasNext",... | 3 | null | Implement the Python class `Vector2D` described below.
Class description:
Implement the Vector2D class.
Method signatures and docstrings:
- def __init__(self, vec2d): Initialize your data structure here. :type vec2d: List[List[int]]
- def next(self): :rtype: int
- def hasNext(self): :rtype: bool | Implement the Python class `Vector2D` described below.
Class description:
Implement the Vector2D class.
Method signatures and docstrings:
- def __init__(self, vec2d): Initialize your data structure here. :type vec2d: List[List[int]]
- def next(self): :rtype: int
- def hasNext(self): :rtype: bool
<|skeleton|>
class V... | 490c38a9478838ff23c9f910cc950633b1e3f994 | <|skeleton|>
class Vector2D:
def __init__(self, vec2d):
"""Initialize your data structure here. :type vec2d: List[List[int]]"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Vector2D:
def __init__(self, vec2d):
"""Initialize your data structure here. :type vec2d: List[List[int]]"""
self.arr = vec2d
self.outer_pointer = 0
self.inner_pointer = 0
def next(self):
""":rtype: int"""
if self.hasNext():
v = self.arr[self.ou... | the_stack_v2_python_sparse | Flatten 2D Vector/solution.py | normanyahq/LeetCodeSolution | train | 0 | |
d2584a376812fc29eef7e5777707c81ae348b5bf | [
"max_1 = 0\nl = len(s)\ndp = [[-1] * l for _ in range(l)]\nfor i in range(l):\n if s[i] == ')':\n dp[i][i] = -1\n continue\n else:\n dp[i][i] = 1\n for j in range(i + 1, l):\n if s[j] == '(':\n dp[i][j] = dp[i][j - 1] + 1\n else:\n dp[i][j] = dp[i][j... | <|body_start_0|>
max_1 = 0
l = len(s)
dp = [[-1] * l for _ in range(l)]
for i in range(l):
if s[i] == ')':
dp[i][i] = -1
continue
else:
dp[i][i] = 1
for j in range(i + 1, l):
if s[j] == '(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int time_limit_over"""
<|body_0|>
def longestValidParentheses_1(self, s):
"""79ms :param s: :return:"""
<|body_1|>
def longestValidParentheses_2(self, s):
""":type s: str :rt... | stack_v2_sparse_classes_36k_train_028057 | 3,220 | no_license | [
{
"docstring": ":type s: str :rtype: int time_limit_over",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s)"
},
{
"docstring": "79ms :param s: :return:",
"name": "longestValidParentheses_1",
"signature": "def longestValidParentheses_1(self, s)"
},
... | 4 | 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 time_limit_over
- def longestValidParentheses_1(self, s): 79ms :param s: :return:
- def longestValidParentheses_2(s... | 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 time_limit_over
- def longestValidParentheses_1(self, s): 79ms :param s: :return:
- def longestValidParentheses_2(s... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int time_limit_over"""
<|body_0|>
def longestValidParentheses_1(self, s):
"""79ms :param s: :return:"""
<|body_1|>
def longestValidParentheses_2(self, s):
""":type s: str :rt... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int time_limit_over"""
max_1 = 0
l = len(s)
dp = [[-1] * l for _ in range(l)]
for i in range(l):
if s[i] == ')':
dp[i][i] = -1
continue
else:
... | the_stack_v2_python_sparse | LongestValidParentheses_HARD_32.py | 953250587/leetcode-python | train | 2 | |
b289e1fb8cb63905a33774a47eabdd4b8ad2a4f5 | [
"qs = super().get_queryset()\nqs = qs.filter(goal__state='published')\nreturn qs.filter(**kwargs).distinct()",
"if kwargs.pop('published', False):\n kwargs['goal__state'] = 'published'\nkwargs['completed'] = False\nqs = self.get_queryset().filter(**kwargs)\nseq = qs.aggregate(Min('goal__sequence_order'))\nseq ... | <|body_start_0|>
qs = super().get_queryset()
qs = qs.filter(goal__state='published')
return qs.filter(**kwargs).distinct()
<|end_body_0|>
<|body_start_1|>
if kwargs.pop('published', False):
kwargs['goal__state'] = 'published'
kwargs['completed'] = False
qs = ... | UserGoalManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserGoalManager:
def published(self, *args, **kwargs):
"""Return a QuerySet of UserGoal objects with at least one published Goal."""
<|body_0|>
def next_in_sequence(self, **kwargs):
"""Return a queryset of UserGoals that are: - not completed, - the next in the sequen... | stack_v2_sparse_classes_36k_train_028058 | 21,796 | permissive | [
{
"docstring": "Return a QuerySet of UserGoal objects with at least one published Goal.",
"name": "published",
"signature": "def published(self, *args, **kwargs)"
},
{
"docstring": "Return a queryset of UserGoals that are: - not completed, - the next in the sequence (based on sequence_order)",
... | 4 | null | Implement the Python class `UserGoalManager` described below.
Class description:
Implement the UserGoalManager class.
Method signatures and docstrings:
- def published(self, *args, **kwargs): Return a QuerySet of UserGoal objects with at least one published Goal.
- def next_in_sequence(self, **kwargs): Return a query... | Implement the Python class `UserGoalManager` described below.
Class description:
Implement the UserGoalManager class.
Method signatures and docstrings:
- def published(self, *args, **kwargs): Return a QuerySet of UserGoal objects with at least one published Goal.
- def next_in_sequence(self, **kwargs): Return a query... | 3d22179c581ab3da18900483930d5ecc0a5fca73 | <|skeleton|>
class UserGoalManager:
def published(self, *args, **kwargs):
"""Return a QuerySet of UserGoal objects with at least one published Goal."""
<|body_0|>
def next_in_sequence(self, **kwargs):
"""Return a queryset of UserGoals that are: - not completed, - the next in the sequen... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserGoalManager:
def published(self, *args, **kwargs):
"""Return a QuerySet of UserGoal objects with at least one published Goal."""
qs = super().get_queryset()
qs = qs.filter(goal__state='published')
return qs.filter(**kwargs).distinct()
def next_in_sequence(self, **kwarg... | the_stack_v2_python_sparse | tndata_backend/goals/managers.py | tndatacommons/tndata_backend | train | 1 | |
0ad1674af08cd5adbeb25bf78a127cefd04d437a | [
"global saccList, fixList\nsaccList = []\nfixList = []\nglobal trialId\nself.waitForSacc = False\nself.saccOnset = None\nself.stimTime = None\ntrialDict['saccLat'] = trialDict['xCoG'] = trialDict['xCoGMask'] = trialDict['yCoG'] = trialDict['yCoGMask'] = trialDict['rtFromStim'] = trialDict['endX'] = trialDict['endXC... | <|body_start_0|>
global saccList, fixList
saccList = []
fixList = []
global trialId
self.waitForSacc = False
self.saccOnset = None
self.stimTime = None
trialDict['saccLat'] = trialDict['xCoG'] = trialDict['xCoGMask'] = trialDict['yCoG'] = trialDict['yCoGMa... | MyReader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyReader:
def initTrial(self, trialDict):
"""Initialize a trial: Arguments: trialDict -- a trial dictionary"""
<|body_0|>
def finishTrial(self, trialDict):
"""Finalizes the trial. Arguments: trialDict -- a trial dictionary"""
<|body_1|>
def parseLine(sel... | stack_v2_sparse_classes_36k_train_028059 | 9,558 | no_license | [
{
"docstring": "Initialize a trial: Arguments: trialDict -- a trial dictionary",
"name": "initTrial",
"signature": "def initTrial(self, trialDict)"
},
{
"docstring": "Finalizes the trial. Arguments: trialDict -- a trial dictionary",
"name": "finishTrial",
"signature": "def finishTrial(se... | 4 | null | Implement the Python class `MyReader` described below.
Class description:
Implement the MyReader class.
Method signatures and docstrings:
- def initTrial(self, trialDict): Initialize a trial: Arguments: trialDict -- a trial dictionary
- def finishTrial(self, trialDict): Finalizes the trial. Arguments: trialDict -- a ... | Implement the Python class `MyReader` described below.
Class description:
Implement the MyReader class.
Method signatures and docstrings:
- def initTrial(self, trialDict): Initialize a trial: Arguments: trialDict -- a trial dictionary
- def finishTrial(self, trialDict): Finalizes the trial. Arguments: trialDict -- a ... | a114d422756f926c3a1256dc796c8f39d34d8078 | <|skeleton|>
class MyReader:
def initTrial(self, trialDict):
"""Initialize a trial: Arguments: trialDict -- a trial dictionary"""
<|body_0|>
def finishTrial(self, trialDict):
"""Finalizes the trial. Arguments: trialDict -- a trial dictionary"""
<|body_1|>
def parseLine(sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyReader:
def initTrial(self, trialDict):
"""Initialize a trial: Arguments: trialDict -- a trial dictionary"""
global saccList, fixList
saccList = []
fixList = []
global trialId
self.waitForSacc = False
self.saccOnset = None
self.stimTime = None
... | the_stack_v2_python_sparse | 004B/bckp/backup .⁄studies._004/parseAsc.py | lvanderlinden/004 | train | 0 | |
3f586f162ea9b68216b9478d9f3be64c92f6737b | [
"self.matrix = matrix8x8\nself.iterations = 0\nself.fib1 = 1\nself.fib2 = 1\nself.fib3 = 2",
"self.iterations = 0\nself.fib1 = 1\nself.fib2 = 1\nself.fib3 = 2\nself.matrix.set_brightness(BRIGHTNESS)",
"time.sleep(UPDATE_RATE_SECONDS)\nfor ypixel in range(0, 8):\n for xpixel in range(0, 8):\n self.iter... | <|body_start_0|>
self.matrix = matrix8x8
self.iterations = 0
self.fib1 = 1
self.fib2 = 1
self.fib3 = 2
<|end_body_0|>
<|body_start_1|>
self.iterations = 0
self.fib1 = 1
self.fib2 = 1
self.fib3 = 2
self.matrix.set_brightness(BRIGHTNESS)
<|e... | fibinocci pattern from 1 to largest 64 bit representation | Led8x8Fibonacci | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Led8x8Fibonacci:
"""fibinocci pattern from 1 to largest 64 bit representation"""
def __init__(self, matrix8x8):
"""create initial conditions and saving display and I2C lock"""
<|body_0|>
def reset(self):
"""initialize to starting state and set brightness"""
... | stack_v2_sparse_classes_36k_train_028060 | 1,724 | permissive | [
{
"docstring": "create initial conditions and saving display and I2C lock",
"name": "__init__",
"signature": "def __init__(self, matrix8x8)"
},
{
"docstring": "initialize to starting state and set brightness",
"name": "reset",
"signature": "def reset(self)"
},
{
"docstring": "dis... | 3 | stack_v2_sparse_classes_30k_train_004953 | Implement the Python class `Led8x8Fibonacci` described below.
Class description:
fibinocci pattern from 1 to largest 64 bit representation
Method signatures and docstrings:
- def __init__(self, matrix8x8): create initial conditions and saving display and I2C lock
- def reset(self): initialize to starting state and se... | Implement the Python class `Led8x8Fibonacci` described below.
Class description:
fibinocci pattern from 1 to largest 64 bit representation
Method signatures and docstrings:
- def __init__(self, matrix8x8): create initial conditions and saving display and I2C lock
- def reset(self): initialize to starting state and se... | 6937b4f64a1a2526bc9888c119371d72bacbdfaa | <|skeleton|>
class Led8x8Fibonacci:
"""fibinocci pattern from 1 to largest 64 bit representation"""
def __init__(self, matrix8x8):
"""create initial conditions and saving display and I2C lock"""
<|body_0|>
def reset(self):
"""initialize to starting state and set brightness"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Led8x8Fibonacci:
"""fibinocci pattern from 1 to largest 64 bit representation"""
def __init__(self, matrix8x8):
"""create initial conditions and saving display and I2C lock"""
self.matrix = matrix8x8
self.iterations = 0
self.fib1 = 1
self.fib2 = 1
self.fib3... | the_stack_v2_python_sparse | led8x8fibonacci.py | parttimehacker/diyclock | train | 0 |
90f8cdfe86610dee7bfa2914e5a9744d2505d6cf | [
"from h2o.expr import ExprNode\nresult = ExprNode('tree.update.weights', self, frame, weights_column)._eval_driver('scalar')._cache._data\nif result != 'OK':\n warn(result)",
"from h2o.expr import ExprNode\nresult = ExprNode('set.calibration.model', self, calibration_model)._eval_driver('scalar')._cache._data\... | <|body_start_0|>
from h2o.expr import ExprNode
result = ExprNode('tree.update.weights', self, frame, weights_column)._eval_driver('scalar')._cache._data
if result != 'OK':
warn(result)
<|end_body_0|>
<|body_start_1|>
from h2o.expr import ExprNode
result = ExprNode('s... | SupervisedTrees | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SupervisedTrees:
def _update_tree_weights(self, frame, weights_column):
"""Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-po... | stack_v2_sparse_classes_36k_train_028061 | 2,355 | permissive | [
{
"docstring": "Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-population of the training dataset. :param frame: frame that will be used to re-popul... | 2 | stack_v2_sparse_classes_30k_train_008765 | Implement the Python class `SupervisedTrees` described below.
Class description:
Implement the SupervisedTrees class.
Method signatures and docstrings:
- def _update_tree_weights(self, frame, weights_column): Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contributio... | Implement the Python class `SupervisedTrees` described below.
Class description:
Implement the SupervisedTrees class.
Method signatures and docstrings:
- def _update_tree_weights(self, frame, weights_column): Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contributio... | d817ab90c8c47f6787604a0b9639b66234158228 | <|skeleton|>
class SupervisedTrees:
def _update_tree_weights(self, frame, weights_column):
"""Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-po... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SupervisedTrees:
def _update_tree_weights(self, frame, weights_column):
"""Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-population of th... | the_stack_v2_python_sparse | h2o-py/h2o/model/extensions/supervised_trees.py | h2oai/h2o-3 | train | 6,872 | |
71ac6e9debfe67d31456d98c384332719e0bc816 | [
"parser = subparsers.add_parser('assign', help=textwrap.fill('Assign contents of pattoo DB.', width=width))\nself.subparsers = parser.add_subparsers(dest='qualifier')\nfor name in dir(self):\n attribute = getattr(self, name)\n if ismethod(attribute):\n if name.startswith('_'):\n continue\n ... | <|body_start_0|>
parser = subparsers.add_parser('assign', help=textwrap.fill('Assign contents of pattoo DB.', width=width))
self.subparsers = parser.add_subparsers(dest='qualifier')
for name in dir(self):
attribute = getattr(self, name)
if ismethod(attribute):
... | Class gathers all CLI 'assign' information. | _Assign | [
"GPL-3.0-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Assign:
"""Class gathers all CLI 'assign' information."""
def __init__(self, subparsers, width=80):
"""Intialize the class."""
<|body_0|>
def agent(self, width=80):
"""Process assign agents CLI commands. Args: width: Width of the help text string to STDIO before... | stack_v2_sparse_classes_36k_train_028062 | 14,703 | permissive | [
{
"docstring": "Intialize the class.",
"name": "__init__",
"signature": "def __init__(self, subparsers, width=80)"
},
{
"docstring": "Process assign agents CLI commands. Args: width: Width of the help text string to STDIO before wrapping Returns: None",
"name": "agent",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_018252 | Implement the Python class `_Assign` described below.
Class description:
Class gathers all CLI 'assign' information.
Method signatures and docstrings:
- def __init__(self, subparsers, width=80): Intialize the class.
- def agent(self, width=80): Process assign agents CLI commands. Args: width: Width of the help text s... | Implement the Python class `_Assign` described below.
Class description:
Class gathers all CLI 'assign' information.
Method signatures and docstrings:
- def __init__(self, subparsers, width=80): Intialize the class.
- def agent(self, width=80): Process assign agents CLI commands. Args: width: Width of the help text s... | 57bd3e82e49d51e3426b13ad53ed8326a735ce29 | <|skeleton|>
class _Assign:
"""Class gathers all CLI 'assign' information."""
def __init__(self, subparsers, width=80):
"""Intialize the class."""
<|body_0|>
def agent(self, width=80):
"""Process assign agents CLI commands. Args: width: Width of the help text string to STDIO before... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _Assign:
"""Class gathers all CLI 'assign' information."""
def __init__(self, subparsers, width=80):
"""Intialize the class."""
parser = subparsers.add_parser('assign', help=textwrap.fill('Assign contents of pattoo DB.', width=width))
self.subparsers = parser.add_subparsers(dest='... | the_stack_v2_python_sparse | pattoo/cli/cli.py | palisadoes/pattoo | train | 0 |
b89fece19e44aee640af154aa0da149f7fcc66c8 | [
"index = len(nums) - 1\nif nums == [0]:\n return True\nwhile index >= 0:\n while index >= 0 and nums[index] != 0:\n index -= 1\n if index < 0:\n return True\n if index == len(nums) - 1:\n last = True\n else:\n last = False\n offset = 1\n if last:\n while index... | <|body_start_0|>
index = len(nums) - 1
if nums == [0]:
return True
while index >= 0:
while index >= 0 and nums[index] != 0:
index -= 1
if index < 0:
return True
if index == len(nums) - 1:
last = True
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canJump1(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def canJump(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
index = len(nums) - 1
if nums == [0]:
... | stack_v2_sparse_classes_36k_train_028063 | 2,672 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "canJump1",
"signature": "def canJump1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "canJump",
"signature": "def canJump(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump1(self, nums): :type nums: List[int] :rtype: bool
- def canJump(self, nums): :type nums: List[int] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump1(self, nums): :type nums: List[int] :rtype: bool
- def canJump(self, nums): :type nums: List[int] :rtype: bool
<|skeleton|>
class Solution:
def canJump1(self, n... | 4a1747b6497305f3821612d9c358a6795b1690da | <|skeleton|>
class Solution:
def canJump1(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def canJump(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canJump1(self, nums):
""":type nums: List[int] :rtype: bool"""
index = len(nums) - 1
if nums == [0]:
return True
while index >= 0:
while index >= 0 and nums[index] != 0:
index -= 1
if index < 0:
r... | the_stack_v2_python_sparse | Greedy/q055_jump_game.py | sevenhe716/LeetCode | train | 0 | |
e2d10fbfdd10c12530c652c04eef12e2b21cc23c | [
"self.task = task\nself.results = results\nself.analysis_path = cwd('storage', 'analyses', '%s' % task['id'])",
"try:\n current = module()\nexcept:\n log.exception('Failed to load the reporting module: %s', module, extra={'task_id': self.task['id']})\n return\nmodule_name = inspect.getmodule(current).__n... | <|body_start_0|>
self.task = task
self.results = results
self.analysis_path = cwd('storage', 'analyses', '%s' % task['id'])
<|end_body_0|>
<|body_start_1|>
try:
current = module()
except:
log.exception('Failed to load the reporting module: %s', module, ex... | Reporting Engine. This class handles the loading and execution of the enabled reporting modules. It receives the analysis results dictionary from the Processing Engine and pass it over to the reporting modules before executing them. | RunReporting | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunReporting:
"""Reporting Engine. This class handles the loading and execution of the enabled reporting modules. It receives the analysis results dictionary from the Processing Engine and pass it over to the reporting modules before executing them."""
def __init__(self, task, results):
... | stack_v2_sparse_classes_36k_train_028064 | 23,903 | no_license | [
{
"docstring": "@param analysis_path: analysis folder path.",
"name": "__init__",
"signature": "def __init__(self, task, results)"
},
{
"docstring": "Run a single reporting module. @param module: reporting module. @param results: results results from analysis.",
"name": "process",
"signa... | 3 | stack_v2_sparse_classes_30k_train_001529 | Implement the Python class `RunReporting` described below.
Class description:
Reporting Engine. This class handles the loading and execution of the enabled reporting modules. It receives the analysis results dictionary from the Processing Engine and pass it over to the reporting modules before executing them.
Method ... | Implement the Python class `RunReporting` described below.
Class description:
Reporting Engine. This class handles the loading and execution of the enabled reporting modules. It receives the analysis results dictionary from the Processing Engine and pass it over to the reporting modules before executing them.
Method ... | d2f342f128ea1d8c69fa481775362b3fee5757f8 | <|skeleton|>
class RunReporting:
"""Reporting Engine. This class handles the loading and execution of the enabled reporting modules. It receives the analysis results dictionary from the Processing Engine and pass it over to the reporting modules before executing them."""
def __init__(self, task, results):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RunReporting:
"""Reporting Engine. This class handles the loading and execution of the enabled reporting modules. It receives the analysis results dictionary from the Processing Engine and pass it over to the reporting modules before executing them."""
def __init__(self, task, results):
"""@param... | the_stack_v2_python_sparse | core/plugins.py | SNDBOXLTD/cuckoo | train | 3 |
035657c6b6c9e1d0e365009106411ebd00015572 | [
"u_name = data_utils.rand_name('user')\nu_email = u_name + '@testmail.tm'\nu_password = data_utils.rand_password()\nself.assertRaises(lib_exc.NotFound, self.users_client.create_user, name=u_name, password=u_password, email=u_email, domain_id=data_utils.rand_uuid_hex())",
"password = data_utils.rand_password()\nus... | <|body_start_0|>
u_name = data_utils.rand_name('user')
u_email = u_name + '@testmail.tm'
u_password = data_utils.rand_password()
self.assertRaises(lib_exc.NotFound, self.users_client.create_user, name=u_name, password=u_password, email=u_email, domain_id=data_utils.rand_uuid_hex())
<|end... | Negative tests of keystone users | UsersNegativeTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsersNegativeTest:
"""Negative tests of keystone users"""
def test_create_user_for_non_existent_domain(self):
"""Attempt to create a user in a non-existent domain should fail"""
<|body_0|>
def test_authentication_for_disabled_user(self):
"""Attempt to authenticat... | stack_v2_sparse_classes_36k_train_028065 | 2,185 | permissive | [
{
"docstring": "Attempt to create a user in a non-existent domain should fail",
"name": "test_create_user_for_non_existent_domain",
"signature": "def test_create_user_for_non_existent_domain(self)"
},
{
"docstring": "Attempt to authenticate for disabled user should fail",
"name": "test_authe... | 2 | null | Implement the Python class `UsersNegativeTest` described below.
Class description:
Negative tests of keystone users
Method signatures and docstrings:
- def test_create_user_for_non_existent_domain(self): Attempt to create a user in a non-existent domain should fail
- def test_authentication_for_disabled_user(self): A... | Implement the Python class `UsersNegativeTest` described below.
Class description:
Negative tests of keystone users
Method signatures and docstrings:
- def test_create_user_for_non_existent_domain(self): Attempt to create a user in a non-existent domain should fail
- def test_authentication_for_disabled_user(self): A... | 3932a799e620a20d7abf7b89e21b520683a1809b | <|skeleton|>
class UsersNegativeTest:
"""Negative tests of keystone users"""
def test_create_user_for_non_existent_domain(self):
"""Attempt to create a user in a non-existent domain should fail"""
<|body_0|>
def test_authentication_for_disabled_user(self):
"""Attempt to authenticat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UsersNegativeTest:
"""Negative tests of keystone users"""
def test_create_user_for_non_existent_domain(self):
"""Attempt to create a user in a non-existent domain should fail"""
u_name = data_utils.rand_name('user')
u_email = u_name + '@testmail.tm'
u_password = data_utils... | the_stack_v2_python_sparse | tempest/api/identity/admin/v3/test_users_negative.py | openstack/tempest | train | 270 |
ca98cbf87e45af62a2542746b773aa86a94bf9f7 | [
"super().__init__()\nself.screen = screen\nself.screen_rect = screen.get_rect()\nself.ui_settings = ui_settings\nself.stats = stats\nself.text_color = (30, 30, 30)\nself.font = pygame.font.SysFont(None, 48)\nself.prep_score()\nself.prep_high_score()\nself.prep_ships()",
"round_score = int(round(self.stats.score, ... | <|body_start_0|>
super().__init__()
self.screen = screen
self.screen_rect = screen.get_rect()
self.ui_settings = ui_settings
self.stats = stats
self.text_color = (30, 30, 30)
self.font = pygame.font.SysFont(None, 48)
self.prep_score()
self.prep_hig... | Scoreboard | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scoreboard:
def __init__(self, ui_settings, screen, stats):
"""初始化"""
<|body_0|>
def prep_score(self):
"""显示得分的图像"""
<|body_1|>
def show_score(self):
"""绘制得分"""
<|body_2|>
def prep_high_score(self):
"""记录最高得分"""
<|bod... | stack_v2_sparse_classes_36k_train_028066 | 2,181 | no_license | [
{
"docstring": "初始化",
"name": "__init__",
"signature": "def __init__(self, ui_settings, screen, stats)"
},
{
"docstring": "显示得分的图像",
"name": "prep_score",
"signature": "def prep_score(self)"
},
{
"docstring": "绘制得分",
"name": "show_score",
"signature": "def show_score(self... | 5 | stack_v2_sparse_classes_30k_train_011640 | Implement the Python class `Scoreboard` described below.
Class description:
Implement the Scoreboard class.
Method signatures and docstrings:
- def __init__(self, ui_settings, screen, stats): 初始化
- def prep_score(self): 显示得分的图像
- def show_score(self): 绘制得分
- def prep_high_score(self): 记录最高得分
- def prep_ships(self): 显... | Implement the Python class `Scoreboard` described below.
Class description:
Implement the Scoreboard class.
Method signatures and docstrings:
- def __init__(self, ui_settings, screen, stats): 初始化
- def prep_score(self): 显示得分的图像
- def show_score(self): 绘制得分
- def prep_high_score(self): 记录最高得分
- def prep_ships(self): 显... | 114bf86a071317d592cff2ba2ce92360b87cd48a | <|skeleton|>
class Scoreboard:
def __init__(self, ui_settings, screen, stats):
"""初始化"""
<|body_0|>
def prep_score(self):
"""显示得分的图像"""
<|body_1|>
def show_score(self):
"""绘制得分"""
<|body_2|>
def prep_high_score(self):
"""记录最高得分"""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Scoreboard:
def __init__(self, ui_settings, screen, stats):
"""初始化"""
super().__init__()
self.screen = screen
self.screen_rect = screen.get_rect()
self.ui_settings = ui_settings
self.stats = stats
self.text_color = (30, 30, 30)
self.font = pygame... | the_stack_v2_python_sparse | python实战项目/pygame_applications/shotGame/scoreboard.py | iceAcmen/whole-Python | train | 0 | |
00f9e85aafb17690211fd1d756a8fb0bf0aeeec0 | [
"status = ErrorCode.SUCCESS\ntry:\n terminals = self.db.query('SELECT tt.mobile, tt.owner_mobile FROM T_TERMINAL_INFO as tt, T_GROUP as tg, T_CORP as tc WHERE tt.service_status = 1 AND tc.cid = %s AND tc.cid = tg.corp_id AND tt.group_id = tg.id', self.current_user.cid)\n mobiles = []\n for terminal i... | <|body_start_0|>
status = ErrorCode.SUCCESS
try:
terminals = self.db.query('SELECT tt.mobile, tt.owner_mobile FROM T_TERMINAL_INFO as tt, T_GROUP as tg, T_CORP as tc WHERE tt.service_status = 1 AND tc.cid = %s AND tc.cid = tg.corp_id AND tt.group_id = tg.id', self.current_user.cid)
... | SMSOption: login/powerlow/poweroff/illegalmove/sos/heartbeat_lost/region_enter/region_out 1: send 0: not send | SMSOptionCorpHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SMSOptionCorpHandler:
"""SMSOption: login/powerlow/poweroff/illegalmove/sos/heartbeat_lost/region_enter/region_out 1: send 0: not send"""
def get(self):
"""Display smsoption of current user."""
<|body_0|>
def put(self):
"""Modify smsoptions for the given owner_mo... | stack_v2_sparse_classes_36k_train_028067 | 6,583 | no_license | [
{
"docstring": "Display smsoption of current user.",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Modify smsoptions for the given owner_mobile.",
"name": "put",
"signature": "def put(self)"
}
] | 2 | null | Implement the Python class `SMSOptionCorpHandler` described below.
Class description:
SMSOption: login/powerlow/poweroff/illegalmove/sos/heartbeat_lost/region_enter/region_out 1: send 0: not send
Method signatures and docstrings:
- def get(self): Display smsoption of current user.
- def put(self): Modify smsoptions f... | Implement the Python class `SMSOptionCorpHandler` described below.
Class description:
SMSOption: login/powerlow/poweroff/illegalmove/sos/heartbeat_lost/region_enter/region_out 1: send 0: not send
Method signatures and docstrings:
- def get(self): Display smsoption of current user.
- def put(self): Modify smsoptions f... | 3b095a325581b1fc48497c234f0ad55e928586a1 | <|skeleton|>
class SMSOptionCorpHandler:
"""SMSOption: login/powerlow/poweroff/illegalmove/sos/heartbeat_lost/region_enter/region_out 1: send 0: not send"""
def get(self):
"""Display smsoption of current user."""
<|body_0|>
def put(self):
"""Modify smsoptions for the given owner_mo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SMSOptionCorpHandler:
"""SMSOption: login/powerlow/poweroff/illegalmove/sos/heartbeat_lost/region_enter/region_out 1: send 0: not send"""
def get(self):
"""Display smsoption of current user."""
status = ErrorCode.SUCCESS
try:
terminals = self.db.query('SELECT tt.mobile... | the_stack_v2_python_sparse | apps/uweb/handlers/smsoption.py | jcsy521/ydws | train | 0 |
98924f5c72a5847e63ff40f81863eb488107c6eb | [
"self.primary_cluster_id = primary_cluster_id\nself.primary_cluster_user_sid = primary_cluster_user_sid\nself.primary_cluster_username = primary_cluster_username",
"if dictionary is None:\n return None\nprimary_cluster_id = dictionary.get('PrimaryClusterId')\nprimary_cluster_user_sid = dictionary.get('PrimaryC... | <|body_start_0|>
self.primary_cluster_id = primary_cluster_id
self.primary_cluster_user_sid = primary_cluster_user_sid
self.primary_cluster_username = primary_cluster_username
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
primary_cluster_id = dic... | Implementation of the 'SpogContext' model. SpogContext specifies all of the information about the user and cluster which is performing action on this cluster. Attributes: primary_cluster_id (long|int): Specifies the ID of the remote cluster which is accessing this cluster via SPOG. primary_cluster_user_sid (string): Sp... | SpogContext | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpogContext:
"""Implementation of the 'SpogContext' model. SpogContext specifies all of the information about the user and cluster which is performing action on this cluster. Attributes: primary_cluster_id (long|int): Specifies the ID of the remote cluster which is accessing this cluster via SPOG... | stack_v2_sparse_classes_36k_train_028068 | 2,356 | permissive | [
{
"docstring": "Constructor for the SpogContext class",
"name": "__init__",
"signature": "def __init__(self, primary_cluster_id=None, primary_cluster_user_sid=None, primary_cluster_username=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary... | 2 | null | Implement the Python class `SpogContext` described below.
Class description:
Implementation of the 'SpogContext' model. SpogContext specifies all of the information about the user and cluster which is performing action on this cluster. Attributes: primary_cluster_id (long|int): Specifies the ID of the remote cluster w... | Implement the Python class `SpogContext` described below.
Class description:
Implementation of the 'SpogContext' model. SpogContext specifies all of the information about the user and cluster which is performing action on this cluster. Attributes: primary_cluster_id (long|int): Specifies the ID of the remote cluster w... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class SpogContext:
"""Implementation of the 'SpogContext' model. SpogContext specifies all of the information about the user and cluster which is performing action on this cluster. Attributes: primary_cluster_id (long|int): Specifies the ID of the remote cluster which is accessing this cluster via SPOG... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SpogContext:
"""Implementation of the 'SpogContext' model. SpogContext specifies all of the information about the user and cluster which is performing action on this cluster. Attributes: primary_cluster_id (long|int): Specifies the ID of the remote cluster which is accessing this cluster via SPOG. primary_clu... | the_stack_v2_python_sparse | cohesity_management_sdk/models/spog_context.py | cohesity/management-sdk-python | train | 24 |
66712910f2a7ddcff9b41962edf300287642a804 | [
"self.car = car\nself.date = date\nself.odometer = odometer\nself.bill = bill",
"self.car.view_info()\nprint('\\tServiced on : {}'.format(self.date))\nprint('\\tOdometer : {} km'.format(self.odometer))\nprint('\\tBill Amount : Rs. {}'.format(self.bill))"
] | <|body_start_0|>
self.car = car
self.date = date
self.odometer = odometer
self.bill = bill
<|end_body_0|>
<|body_start_1|>
self.car.view_info()
print('\tServiced on : {}'.format(self.date))
print('\tOdometer : {} km'.format(self.odometer))
print('\tBil... | a model for a service performed | Service | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Service:
"""a model for a service performed"""
def __init__(self, car, date, odometer, bill):
"""initialise service details"""
<|body_0|>
def view_details(self):
"""print details about the car"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self... | stack_v2_sparse_classes_36k_train_028069 | 2,336 | no_license | [
{
"docstring": "initialise service details",
"name": "__init__",
"signature": "def __init__(self, car, date, odometer, bill)"
},
{
"docstring": "print details about the car",
"name": "view_details",
"signature": "def view_details(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008448 | Implement the Python class `Service` described below.
Class description:
a model for a service performed
Method signatures and docstrings:
- def __init__(self, car, date, odometer, bill): initialise service details
- def view_details(self): print details about the car | Implement the Python class `Service` described below.
Class description:
a model for a service performed
Method signatures and docstrings:
- def __init__(self, car, date, odometer, bill): initialise service details
- def view_details(self): print details about the car
<|skeleton|>
class Service:
"""a model for a... | 9ab69e5d0e1d78915ef9bf4287ebc58f24f0658f | <|skeleton|>
class Service:
"""a model for a service performed"""
def __init__(self, car, date, odometer, bill):
"""initialise service details"""
<|body_0|>
def view_details(self):
"""print details about the car"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Service:
"""a model for a service performed"""
def __init__(self, car, date, odometer, bill):
"""initialise service details"""
self.car = car
self.date = date
self.odometer = odometer
self.bill = bill
def view_details(self):
"""print details about the ... | the_stack_v2_python_sparse | session6_object_oriented/17.py | ramkishorem/pythonic | train | 0 |
e14fb2ebb78c03a4eb8537354783e35d94008f83 | [
"super(Cell, self).__init__()\nself.reduction = reduction\nself.reduction_prev = reduction_prev\nself.num_nodes = num_nodes\nself.multiplier = multiplier\nself.layers = nn.ModuleList()\nfor i in range(self.num_nodes):\n for j in range(2 + i):\n stride = 2 if reduction and j < 2 else 1\n layer = Mix... | <|body_start_0|>
super(Cell, self).__init__()
self.reduction = reduction
self.reduction_prev = reduction_prev
self.num_nodes = num_nodes
self.multiplier = multiplier
self.layers = nn.ModuleList()
for i in range(self.num_nodes):
for j in range(2 + i):
... | Cell | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cell:
def __init__(self, num_nodes, multiplier, cpp, cp, c, reduction, reduction_prev):
""":param steps: 4, number of layers inside a cell :param multiplier: 4 :param cpp: 48 :param cp: 48 :param c: 16 :param reduction: indicates whether to reduce the output maps width :param reduction_p... | stack_v2_sparse_classes_36k_train_028070 | 1,887 | permissive | [
{
"docstring": ":param steps: 4, number of layers inside a cell :param multiplier: 4 :param cpp: 48 :param cp: 48 :param c: 16 :param reduction: indicates whether to reduce the output maps width :param reduction_prev: when previous cell reduced width, s1_d = s0_d//2 in order to keep same shape between s1 and s0... | 2 | stack_v2_sparse_classes_30k_train_015937 | Implement the Python class `Cell` described below.
Class description:
Implement the Cell class.
Method signatures and docstrings:
- def __init__(self, num_nodes, multiplier, cpp, cp, c, reduction, reduction_prev): :param steps: 4, number of layers inside a cell :param multiplier: 4 :param cpp: 48 :param cp: 48 :param... | Implement the Python class `Cell` described below.
Class description:
Implement the Cell class.
Method signatures and docstrings:
- def __init__(self, num_nodes, multiplier, cpp, cp, c, reduction, reduction_prev): :param steps: 4, number of layers inside a cell :param multiplier: 4 :param cpp: 48 :param cp: 48 :param... | f6a3da8818308c9edcd9fedbcf831dd5968efcdd | <|skeleton|>
class Cell:
def __init__(self, num_nodes, multiplier, cpp, cp, c, reduction, reduction_prev):
""":param steps: 4, number of layers inside a cell :param multiplier: 4 :param cpp: 48 :param cp: 48 :param c: 16 :param reduction: indicates whether to reduce the output maps width :param reduction_p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cell:
def __init__(self, num_nodes, multiplier, cpp, cp, c, reduction, reduction_prev):
""":param steps: 4, number of layers inside a cell :param multiplier: 4 :param cpp: 48 :param cp: 48 :param c: 16 :param reduction: indicates whether to reduce the output maps width :param reduction_prev: when prev... | the_stack_v2_python_sparse | common/darts/modules/linear/cell.py | ECP-CANDLE/Benchmarks | train | 65 | |
f4d8b32220926433d2d1a23a2e1371ff284c648b | [
"super(PatchMerging, self).__init__()\nself.normalization: nn.Module = nn.LayerNorm(normalized_shape=4 * in_channels)\nself.linear_mapping: nn.Module = nn.Linear(in_features=4 * in_channels, out_features=2 * in_channels, bias=False)",
"batch_size, channels, height, width = input.shape\ninput: torch.Tensor = bchw_... | <|body_start_0|>
super(PatchMerging, self).__init__()
self.normalization: nn.Module = nn.LayerNorm(normalized_shape=4 * in_channels)
self.linear_mapping: nn.Module = nn.Linear(in_features=4 * in_channels, out_features=2 * in_channels, bias=False)
<|end_body_0|>
<|body_start_1|>
batch_si... | This class implements the patch merging approach which is essential a strided convolution with normalization before | PatchMerging | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PatchMerging:
"""This class implements the patch merging approach which is essential a strided convolution with normalization before"""
def __init__(self, in_channels: int) -> None:
"""Constructor method :param in_channels: (int) Number of input channels"""
<|body_0|>
de... | stack_v2_sparse_classes_36k_train_028071 | 41,159 | no_license | [
{
"docstring": "Constructor method :param in_channels: (int) Number of input channels",
"name": "__init__",
"signature": "def __init__(self, in_channels: int) -> None"
},
{
"docstring": "Forward pass :param input: (torch.Tensor) Input tensor of the shape [batch size, in channels, height, width] ... | 2 | stack_v2_sparse_classes_30k_train_007343 | Implement the Python class `PatchMerging` described below.
Class description:
This class implements the patch merging approach which is essential a strided convolution with normalization before
Method signatures and docstrings:
- def __init__(self, in_channels: int) -> None: Constructor method :param in_channels: (in... | Implement the Python class `PatchMerging` described below.
Class description:
This class implements the patch merging approach which is essential a strided convolution with normalization before
Method signatures and docstrings:
- def __init__(self, in_channels: int) -> None: Constructor method :param in_channels: (in... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class PatchMerging:
"""This class implements the patch merging approach which is essential a strided convolution with normalization before"""
def __init__(self, in_channels: int) -> None:
"""Constructor method :param in_channels: (int) Number of input channels"""
<|body_0|>
de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PatchMerging:
"""This class implements the patch merging approach which is essential a strided convolution with normalization before"""
def __init__(self, in_channels: int) -> None:
"""Constructor method :param in_channels: (int) Number of input channels"""
super(PatchMerging, self).__ini... | the_stack_v2_python_sparse | generated/test_ChristophReich1996_Swin_Transformer_V2.py | jansel/pytorch-jit-paritybench | train | 35 |
4f63c3fac3e53319b2fe3e8ca84e76be02d7d6bd | [
"self.perms = perms\nself.reverse_filter = reverse_filter\nself.filter_param = filter_param\nself.require_all = require_all",
"def wrapped_f(*args, **kwargs):\n request = args[0]\n if not request.user.is_authenticated:\n if not request.is_ajax():\n url = reverse('home') + '?next=%s' % requ... | <|body_start_0|>
self.perms = perms
self.reverse_filter = reverse_filter
self.filter_param = filter_param
self.require_all = require_all
<|end_body_0|>
<|body_start_1|>
def wrapped_f(*args, **kwargs):
request = args[0]
if not request.user.is_authenticated... | generic_permission_decorator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class generic_permission_decorator:
def __init__(self, perms, reverse_filter, filter_param, require_all=True):
"""If there are decorator arguments, the function to be decorated is not passed to the constructor!"""
<|body_0|>
def __call__(self, f):
"""If there are decorator... | stack_v2_sparse_classes_36k_train_028072 | 5,101 | no_license | [
{
"docstring": "If there are decorator arguments, the function to be decorated is not passed to the constructor!",
"name": "__init__",
"signature": "def __init__(self, perms, reverse_filter, filter_param, require_all=True)"
},
{
"docstring": "If there are decorator arguments, __call__() is only ... | 2 | stack_v2_sparse_classes_30k_train_018415 | Implement the Python class `generic_permission_decorator` described below.
Class description:
Implement the generic_permission_decorator class.
Method signatures and docstrings:
- def __init__(self, perms, reverse_filter, filter_param, require_all=True): If there are decorator arguments, the function to be decorated ... | Implement the Python class `generic_permission_decorator` described below.
Class description:
Implement the generic_permission_decorator class.
Method signatures and docstrings:
- def __init__(self, perms, reverse_filter, filter_param, require_all=True): If there are decorator arguments, the function to be decorated ... | 3862986f908e3d2dd4c4b9a485cd9ebfdcafcd1b | <|skeleton|>
class generic_permission_decorator:
def __init__(self, perms, reverse_filter, filter_param, require_all=True):
"""If there are decorator arguments, the function to be decorated is not passed to the constructor!"""
<|body_0|>
def __call__(self, f):
"""If there are decorator... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class generic_permission_decorator:
def __init__(self, perms, reverse_filter, filter_param, require_all=True):
"""If there are decorator arguments, the function to be decorated is not passed to the constructor!"""
self.perms = perms
self.reverse_filter = reverse_filter
self.filter_pa... | the_stack_v2_python_sparse | ezreg/decorators.py | amschaal/django-ezreg | train | 5 | |
258d4ca6708b129c3c5368422e04d5a5bfa7dd9d | [
"if not costs:\n return 0\nn = len(costs)\nk = len(costs[0])\ndp = [[0] * k for _ in range(n)]\ndp[0] = costs[0]\nfor i in range(1, n):\n for j in range(k):\n dp[i][j] = costs[i][j] + min((dp[i - 1][k] for k in range(k) if k != j))\nreturn min((dp[n - 1][j] for j in range(k)))",
"n = len(costs)\nif n... | <|body_start_0|>
if not costs:
return 0
n = len(costs)
k = len(costs[0])
dp = [[0] * k for _ in range(n)]
dp[0] = costs[0]
for i in range(1, n):
for j in range(k):
dp[i][j] = costs[i][j] + min((dp[i - 1][k] for k in range(k) if k !=... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minCostII(self, costs):
""":type costs: List[List[int]] :rtype: int"""
<|body_0|>
def minCostII(self, costs):
""":type costs: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not costs:
return ... | stack_v2_sparse_classes_36k_train_028073 | 3,301 | no_license | [
{
"docstring": ":type costs: List[List[int]] :rtype: int",
"name": "minCostII",
"signature": "def minCostII(self, costs)"
},
{
"docstring": ":type costs: List[List[int]] :rtype: int",
"name": "minCostII",
"signature": "def minCostII(self, costs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003954 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minCostII(self, costs): :type costs: List[List[int]] :rtype: int
- def minCostII(self, costs): :type costs: List[List[int]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minCostII(self, costs): :type costs: List[List[int]] :rtype: int
- def minCostII(self, costs): :type costs: List[List[int]] :rtype: int
<|skeleton|>
class Solution:
def... | d953abe2c9680f636563e76287d2f907e90ced63 | <|skeleton|>
class Solution:
def minCostII(self, costs):
""":type costs: List[List[int]] :rtype: int"""
<|body_0|>
def minCostII(self, costs):
""":type costs: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minCostII(self, costs):
""":type costs: List[List[int]] :rtype: int"""
if not costs:
return 0
n = len(costs)
k = len(costs[0])
dp = [[0] * k for _ in range(n)]
dp[0] = costs[0]
for i in range(1, n):
for j in range(k)... | the_stack_v2_python_sparse | python_leetcode_2020/Python_Leetcode_2020/265_paint_house.py | xiangcao/Leetcode | train | 0 | |
6e37b1348c1be40e545799b6bc4e433b804de5af | [
"self.__author__ = 'GodSaveTheDoge'\nself.selector = '#mw-content-text li , p'\nself.url = 'https://{}.wikipedia.org/wiki/{}'\nself.apiurl = 'https://en.wikipedia.org/w/api.php?action=query&titles={}&format=json'",
"if '-1' in requests.get(self.apiurl.format(page)).json()['query']['pages']:\n return False\nret... | <|body_start_0|>
self.__author__ = 'GodSaveTheDoge'
self.selector = '#mw-content-text li , p'
self.url = 'https://{}.wikipedia.org/wiki/{}'
self.apiurl = 'https://en.wikipedia.org/w/api.php?action=query&titles={}&format=json'
<|end_body_0|>
<|body_start_1|>
if '-1' in requests.g... | Wikipedia | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Wikipedia:
def __init__(self) -> None:
"""You can use this class to look up a page on wikipedia"""
<|body_0|>
def exists(self, page: str) -> bool:
"""Check if a page exists :param page: url of the page :return:"""
<|body_1|>
def getpage(self, page: str, ... | stack_v2_sparse_classes_36k_train_028074 | 1,240 | no_license | [
{
"docstring": "You can use this class to look up a page on wikipedia",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Check if a page exists :param page: url of the page :return:",
"name": "exists",
"signature": "def exists(self, page: str) -> bool"
}... | 3 | stack_v2_sparse_classes_30k_train_007428 | Implement the Python class `Wikipedia` described below.
Class description:
Implement the Wikipedia class.
Method signatures and docstrings:
- def __init__(self) -> None: You can use this class to look up a page on wikipedia
- def exists(self, page: str) -> bool: Check if a page exists :param page: url of the page :re... | Implement the Python class `Wikipedia` described below.
Class description:
Implement the Wikipedia class.
Method signatures and docstrings:
- def __init__(self) -> None: You can use this class to look up a page on wikipedia
- def exists(self, page: str) -> bool: Check if a page exists :param page: url of the page :re... | cc0db796c5516b36e82ef6f70c5649902366df62 | <|skeleton|>
class Wikipedia:
def __init__(self) -> None:
"""You can use this class to look up a page on wikipedia"""
<|body_0|>
def exists(self, page: str) -> bool:
"""Check if a page exists :param page: url of the page :return:"""
<|body_1|>
def getpage(self, page: str, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Wikipedia:
def __init__(self) -> None:
"""You can use this class to look up a page on wikipedia"""
self.__author__ = 'GodSaveTheDoge'
self.selector = '#mw-content-text li , p'
self.url = 'https://{}.wikipedia.org/wiki/{}'
self.apiurl = 'https://en.wikipedia.org/w/api.ph... | the_stack_v2_python_sparse | methods/Wiki.py | ankit-sinha-18/MultiUserbot | train | 0 | |
15afe0eb8a932195d4ad132f5f13fa3d5c20229e | [
"self.name = 'runtime'\nsuper(RuntimeTable, self).__init__(results, best_results, options, group_dir, pp_locations, table_name)\nself.has_pp = True\nself.pp_filenames = [os.path.relpath(self.pp_locations[1], group_dir)]",
"abs_value = {}\nrel_value = {}\nfor key, value in results_dict.items():\n abs_value[key]... | <|body_start_0|>
self.name = 'runtime'
super(RuntimeTable, self).__init__(results, best_results, options, group_dir, pp_locations, table_name)
self.has_pp = True
self.pp_filenames = [os.path.relpath(self.pp_locations[1], group_dir)]
<|end_body_0|>
<|body_start_1|>
abs_value = {}... | The timing results are calculated from an average using the `timeit <https://docs.python.org/2/library/timeit.html>`_ module in python. The number of runtimes can be set in :ref:`options`. | RuntimeTable | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RuntimeTable:
"""The timing results are calculated from an average using the `timeit <https://docs.python.org/2/library/timeit.html>`_ module in python. The number of runtimes can be set in :ref:`options`."""
def __init__(self, results, best_results, options, group_dir, pp_locations, table_n... | stack_v2_sparse_classes_36k_train_028075 | 2,532 | permissive | [
{
"docstring": "Initialise the runtime table which shows the average runtime results :param results: results nested array of objects :type results: list of list of fitbenchmarking.utils.fitbm_result.FittingResult :param best_results: best result for each problem :type best_results: list of fitbenchmarking.utils... | 2 | stack_v2_sparse_classes_30k_train_020236 | Implement the Python class `RuntimeTable` described below.
Class description:
The timing results are calculated from an average using the `timeit <https://docs.python.org/2/library/timeit.html>`_ module in python. The number of runtimes can be set in :ref:`options`.
Method signatures and docstrings:
- def __init__(se... | Implement the Python class `RuntimeTable` described below.
Class description:
The timing results are calculated from an average using the `timeit <https://docs.python.org/2/library/timeit.html>`_ module in python. The number of runtimes can be set in :ref:`options`.
Method signatures and docstrings:
- def __init__(se... | edae46c0361568bc537de2425d603e7b271eabe7 | <|skeleton|>
class RuntimeTable:
"""The timing results are calculated from an average using the `timeit <https://docs.python.org/2/library/timeit.html>`_ module in python. The number of runtimes can be set in :ref:`options`."""
def __init__(self, results, best_results, options, group_dir, pp_locations, table_n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RuntimeTable:
"""The timing results are calculated from an average using the `timeit <https://docs.python.org/2/library/timeit.html>`_ module in python. The number of runtimes can be set in :ref:`options`."""
def __init__(self, results, best_results, options, group_dir, pp_locations, table_name):
... | the_stack_v2_python_sparse | fitbenchmarking/results_processing/runtime_table.py | dsotiropoulos/fitbenchmarking | train | 0 |
3ff7f330123f71e7f7aef30cd8cc0712cb1a2cea | [
"self.source_view_id = source_view_id\nself.use_same_view_name = use_same_view_name\nself.view_name = view_name",
"if dictionary is None:\n return None\nsource_view_id = dictionary.get('sourceViewId')\nuse_same_view_name = dictionary.get('useSameViewName')\nview_name = dictionary.get('viewName')\nreturn cls(so... | <|body_start_0|>
self.source_view_id = source_view_id
self.use_same_view_name = use_same_view_name
self.view_name = view_name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
source_view_id = dictionary.get('sourceViewId')
use_same_view_name... | Implementation of the 'RemoteViewConfig' model. Specifies the remote view config for a view protected in a view job. This field is only used when the view job has a replication policy. Attributes: source_view_id (long|int): Specifies the view Id of the view protected by the view protection job. use_same_view_name (bool... | RemoteViewConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RemoteViewConfig:
"""Implementation of the 'RemoteViewConfig' model. Specifies the remote view config for a view protected in a view job. This field is only used when the view job has a replication policy. Attributes: source_view_id (long|int): Specifies the view Id of the view protected by the v... | stack_v2_sparse_classes_36k_train_028076 | 2,406 | permissive | [
{
"docstring": "Constructor for the RemoteViewConfig class",
"name": "__init__",
"signature": "def __init__(self, source_view_id=None, use_same_view_name=None, view_name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary repr... | 2 | null | Implement the Python class `RemoteViewConfig` described below.
Class description:
Implementation of the 'RemoteViewConfig' model. Specifies the remote view config for a view protected in a view job. This field is only used when the view job has a replication policy. Attributes: source_view_id (long|int): Specifies the... | Implement the Python class `RemoteViewConfig` described below.
Class description:
Implementation of the 'RemoteViewConfig' model. Specifies the remote view config for a view protected in a view job. This field is only used when the view job has a replication policy. Attributes: source_view_id (long|int): Specifies the... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RemoteViewConfig:
"""Implementation of the 'RemoteViewConfig' model. Specifies the remote view config for a view protected in a view job. This field is only used when the view job has a replication policy. Attributes: source_view_id (long|int): Specifies the view Id of the view protected by the v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RemoteViewConfig:
"""Implementation of the 'RemoteViewConfig' model. Specifies the remote view config for a view protected in a view job. This field is only used when the view job has a replication policy. Attributes: source_view_id (long|int): Specifies the view Id of the view protected by the view protectio... | the_stack_v2_python_sparse | cohesity_management_sdk/models/remote_view_config.py | cohesity/management-sdk-python | train | 24 |
92de31b90bc9be51484fb47937c498d945e2746d | [
"client = get_client(client_id)\nif client.status == 'deleted':\n abort(http_client.NOT_FOUND)\nreturn client",
"client = get_client(client_id)\nnow = utcnow()\nheartbeat_period = current_app.config.get('heartbeat_period', DEFAULT_HEARTBEAT_PERIOD)\nheartbeat_timeout = current_app.config.get('heartbeat_timeout... | <|body_start_0|>
client = get_client(client_id)
if client.status == 'deleted':
abort(http_client.NOT_FOUND)
return client
<|end_body_0|>
<|body_start_1|>
client = get_client(client_id)
now = utcnow()
heartbeat_period = current_app.config.get('heartbeat_period... | Client API. This is used by the game clients to register themselves as connected-to-the-backend and to heartbeat to let the backend know that they are still connected. | ClientAPI | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientAPI:
"""Client API. This is used by the game clients to register themselves as connected-to-the-backend and to heartbeat to let the backend know that they are still connected."""
def get(self, client_id):
"""Find client by ID Get information about a single client. Just dumps ou... | stack_v2_sparse_classes_36k_train_028077 | 13,103 | permissive | [
{
"docstring": "Find client by ID Get information about a single client. Just dumps out the DB row as json",
"name": "get",
"signature": "def get(self, client_id)"
},
{
"docstring": "Client heartbeat Heartbeat for client registration.",
"name": "put",
"signature": "def put(self, client_i... | 3 | null | Implement the Python class `ClientAPI` described below.
Class description:
Client API. This is used by the game clients to register themselves as connected-to-the-backend and to heartbeat to let the backend know that they are still connected.
Method signatures and docstrings:
- def get(self, client_id): Find client b... | Implement the Python class `ClientAPI` described below.
Class description:
Client API. This is used by the game clients to register themselves as connected-to-the-backend and to heartbeat to let the backend know that they are still connected.
Method signatures and docstrings:
- def get(self, client_id): Find client b... | 9825cb22b26b577b715f2ce95453363bf90ecc7e | <|skeleton|>
class ClientAPI:
"""Client API. This is used by the game clients to register themselves as connected-to-the-backend and to heartbeat to let the backend know that they are still connected."""
def get(self, client_id):
"""Find client by ID Get information about a single client. Just dumps ou... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClientAPI:
"""Client API. This is used by the game clients to register themselves as connected-to-the-backend and to heartbeat to let the backend know that they are still connected."""
def get(self, client_id):
"""Find client by ID Get information about a single client. Just dumps out the DB row ... | the_stack_v2_python_sparse | driftbase/api/clients.py | dgnorth/drift-base | train | 1 |
204168768d426654543e79e1a369e672217912de | [
"super().__init__(*args, **kwargs)\nif kwargs.get('initial', {}).get('provision', False):\n self.fields['username'].required = False\n self.fields['password'].required = False",
"if self.cleaned_data.get('provision'):\n return self.cleaned_data\nelse:\n return super(SAMLLinkUserForm, self).clean()"
] | <|body_start_0|>
super().__init__(*args, **kwargs)
if kwargs.get('initial', {}).get('provision', False):
self.fields['username'].required = False
self.fields['password'].required = False
<|end_body_0|>
<|body_start_1|>
if self.cleaned_data.get('provision'):
r... | Form for linking existing user accounts after SAML authentication. Version Added: 5.0 | SAMLLinkUserForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SAMLLinkUserForm:
"""Form for linking existing user accounts after SAML authentication. Version Added: 5.0"""
def __init__(self, *args, **kwargs):
"""Initialize the form. Args: *args (tuple): Positional arguments to pass through to the parent class. **kwargs (dict): Keyword arguments... | stack_v2_sparse_classes_36k_train_028078 | 7,428 | permissive | [
{
"docstring": "Initialize the form. Args: *args (tuple): Positional arguments to pass through to the parent class. **kwargs (dict): Keyword arguments to pass through to the parent class.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Run validation o... | 2 | null | Implement the Python class `SAMLLinkUserForm` described below.
Class description:
Form for linking existing user accounts after SAML authentication. Version Added: 5.0
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize the form. Args: *args (tuple): Positional arguments to pass throug... | Implement the Python class `SAMLLinkUserForm` described below.
Class description:
Form for linking existing user accounts after SAML authentication. Version Added: 5.0
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize the form. Args: *args (tuple): Positional arguments to pass throug... | c3a991f1e9d7682239a1ab0e8661cee6da01d537 | <|skeleton|>
class SAMLLinkUserForm:
"""Form for linking existing user accounts after SAML authentication. Version Added: 5.0"""
def __init__(self, *args, **kwargs):
"""Initialize the form. Args: *args (tuple): Positional arguments to pass through to the parent class. **kwargs (dict): Keyword arguments... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SAMLLinkUserForm:
"""Form for linking existing user accounts after SAML authentication. Version Added: 5.0"""
def __init__(self, *args, **kwargs):
"""Initialize the form. Args: *args (tuple): Positional arguments to pass through to the parent class. **kwargs (dict): Keyword arguments to pass thro... | the_stack_v2_python_sparse | reviewboard/accounts/sso/backends/saml/forms.py | reviewboard/reviewboard | train | 1,141 |
9ca075134549cf6f023d31e33da5331a65ec296a | [
"res = []\n\ndef pre_order(root):\n if not root:\n return None\n res.append(root.val)\n pre_order(root.left)\n pre_order(root.right)\npre_order(root)\nreturn ' '.join(map(str, res))",
"res = deque((int(v) for v in data.split()))\n\ndef build(low_bound, high_bound):\n if res and low_bound < r... | <|body_start_0|>
res = []
def pre_order(root):
if not root:
return None
res.append(root.val)
pre_order(root.left)
pre_order(root.right)
pre_order(root)
return ' '.join(map(str, res))
<|end_body_0|>
<|body_start_1|>
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_028079 | 1,292 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_002086 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | ba6b2500b86489cc34852ff73ba0915e57aa0275 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
res = []
def pre_order(root):
if not root:
return None
res.append(root.val)
pre_order(root.left)
pre_order(root.r... | the_stack_v2_python_sparse | algo/first/p449_serialize_and_deserialize_bst.py | thinkreed/lc.py | train | 3 | |
9256aaf71d39a729fad56dae23f3920f04d663f4 | [
"if ledger_api.identifier == EthereumApi.identifier:\n nonce = ledger_api.api.eth.getTransactionCount(oracle_address)\n instance = cls.get_instance(ledger_api, contract_address)\n oracle_role = keccak256(ORACLE_ROLE.encode('utf-8'))\n tx = instance.functions.grantRole(oracle_role, oracle_address).buildT... | <|body_start_0|>
if ledger_api.identifier == EthereumApi.identifier:
nonce = ledger_api.api.eth.getTransactionCount(oracle_address)
instance = cls.get_instance(ledger_api, contract_address)
oracle_role = keccak256(ORACLE_ROLE.encode('utf-8'))
tx = instance.functio... | The Fetch oracle contract. | FetchOracleContract | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FetchOracleContract:
"""The Fetch oracle contract."""
def get_grant_role_transaction(cls, ledger_api: LedgerApi, contract_address: Address, oracle_address: Address, gas: int=0, tx_fee: int=0) -> JSONLike:
"""Get transaction to grant oracle role to recipient_address :param ledger_api:... | stack_v2_sparse_classes_36k_train_028080 | 5,228 | permissive | [
{
"docstring": "Get transaction to grant oracle role to recipient_address :param ledger_api: the ledger API :param contract_address: the contract address :param oracle_address: the address of the oracle :param gas: the gas limit :param tx_fee: the transaction fee :return: the transaction object",
"name": "g... | 2 | null | Implement the Python class `FetchOracleContract` described below.
Class description:
The Fetch oracle contract.
Method signatures and docstrings:
- def get_grant_role_transaction(cls, ledger_api: LedgerApi, contract_address: Address, oracle_address: Address, gas: int=0, tx_fee: int=0) -> JSONLike: Get transaction to ... | Implement the Python class `FetchOracleContract` described below.
Class description:
The Fetch oracle contract.
Method signatures and docstrings:
- def get_grant_role_transaction(cls, ledger_api: LedgerApi, contract_address: Address, oracle_address: Address, gas: int=0, tx_fee: int=0) -> JSONLike: Get transaction to ... | bec49adaeba661d8d0f03ac9935dc89f39d95a0d | <|skeleton|>
class FetchOracleContract:
"""The Fetch oracle contract."""
def get_grant_role_transaction(cls, ledger_api: LedgerApi, contract_address: Address, oracle_address: Address, gas: int=0, tx_fee: int=0) -> JSONLike:
"""Get transaction to grant oracle role to recipient_address :param ledger_api:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FetchOracleContract:
"""The Fetch oracle contract."""
def get_grant_role_transaction(cls, ledger_api: LedgerApi, contract_address: Address, oracle_address: Address, gas: int=0, tx_fee: int=0) -> JSONLike:
"""Get transaction to grant oracle role to recipient_address :param ledger_api: the ledger A... | the_stack_v2_python_sparse | packages/fetchai/contracts/oracle/contract.py | fetchai/agents-aea | train | 192 |
3ce597e3152c1182e3141e2370e04f1e61f2f2ad | [
"super(MessagePassing, self).__init__(options, is_training)\nif not isinstance(options, graph_network_pb2.MessagePassing):\n raise ValueError('Options has to be an MessagePassing proto.')\nself.use_reverse_edges = options.use_reverse_edges\nself.add_bi_directional_edges = options.add_bi_directional_edges\nself.a... | <|body_start_0|>
super(MessagePassing, self).__init__(options, is_training)
if not isinstance(options, graph_network_pb2.MessagePassing):
raise ValueError('Options has to be an MessagePassing proto.')
self.use_reverse_edges = options.use_reverse_edges
self.add_bi_directional_... | Self attention model using a RNN cell. | MessagePassing | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MessagePassing:
"""Self attention model using a RNN cell."""
def __init__(self, options, is_training=False):
"""Initializes the graph network. Args: options: proto to store the configs. is_training: if True, build the training graph."""
<|body_0|>
def _build_graph(self, ... | stack_v2_sparse_classes_36k_train_028081 | 18,418 | permissive | [
{
"docstring": "Initializes the graph network. Args: options: proto to store the configs. is_training: if True, build the training graph.",
"name": "__init__",
"signature": "def __init__(self, options, is_training=False)"
},
{
"docstring": "Builds graph network. Args: graphs_tuple: A GraphTuple ... | 2 | stack_v2_sparse_classes_30k_train_001047 | Implement the Python class `MessagePassing` described below.
Class description:
Self attention model using a RNN cell.
Method signatures and docstrings:
- def __init__(self, options, is_training=False): Initializes the graph network. Args: options: proto to store the configs. is_training: if True, build the training ... | Implement the Python class `MessagePassing` described below.
Class description:
Self attention model using a RNN cell.
Method signatures and docstrings:
- def __init__(self, options, is_training=False): Initializes the graph network. Args: options: proto to store the configs. is_training: if True, build the training ... | 4d20dadffe7584ac2c7f26419960512380b8d06e | <|skeleton|>
class MessagePassing:
"""Self attention model using a RNN cell."""
def __init__(self, options, is_training=False):
"""Initializes the graph network. Args: options: proto to store the configs. is_training: if True, build the training graph."""
<|body_0|>
def _build_graph(self, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MessagePassing:
"""Self attention model using a RNN cell."""
def __init__(self, options, is_training=False):
"""Initializes the graph network. Args: options: proto to store the configs. is_training: if True, build the training graph."""
super(MessagePassing, self).__init__(options, is_tra... | the_stack_v2_python_sparse | modeling/modules/graph_networks.py | yekeren/WSSGG | train | 40 |
8fed59678ddeabe8b7060bdccc4745817cd442ab | [
"self.expression_data = expression_data\nself.calculator = calculator\nself.rm_outliers = rm_outliers",
"data = None\nif isinstance(measurments, dict):\n data = measurments\n measurments = list(measurments.values())\nmeasurments = np.array(measurments)\nupper_quartile = np.percentile(measurments, 75)\nlower... | <|body_start_0|>
self.expression_data = expression_data
self.calculator = calculator
self.rm_outliers = rm_outliers
<|end_body_0|>
<|body_start_1|>
data = None
if isinstance(measurments, dict):
data = measurments
measurments = list(measurments.values())
... | Base class for navigation of similarity calculation between specified genes. | SimilarityCalculatorNavigator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimilarityCalculatorNavigator:
"""Base class for navigation of similarity calculation between specified genes."""
def __init__(self, expression_data: GeneExpression, calculator: SimilarityCalculator, rm_outliers: bool=True):
""":param expression_data: Data for all genes :param calcul... | stack_v2_sparse_classes_36k_train_028082 | 43,977 | no_license | [
{
"docstring": ":param expression_data: Data for all genes :param calculator: SimilarityCalculator used in all calculations :param rm_outliers: should outliers be removed before similarity statistics calculation",
"name": "__init__",
"signature": "def __init__(self, expression_data: GeneExpression, calc... | 2 | stack_v2_sparse_classes_30k_train_016497 | Implement the Python class `SimilarityCalculatorNavigator` described below.
Class description:
Base class for navigation of similarity calculation between specified genes.
Method signatures and docstrings:
- def __init__(self, expression_data: GeneExpression, calculator: SimilarityCalculator, rm_outliers: bool=True):... | Implement the Python class `SimilarityCalculatorNavigator` described below.
Class description:
Base class for navigation of similarity calculation between specified genes.
Method signatures and docstrings:
- def __init__(self, expression_data: GeneExpression, calculator: SimilarityCalculator, rm_outliers: bool=True):... | 6d11df5e8ca37e53e048d261ac287f859ba6e9b9 | <|skeleton|>
class SimilarityCalculatorNavigator:
"""Base class for navigation of similarity calculation between specified genes."""
def __init__(self, expression_data: GeneExpression, calculator: SimilarityCalculator, rm_outliers: bool=True):
""":param expression_data: Data for all genes :param calcul... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SimilarityCalculatorNavigator:
"""Base class for navigation of similarity calculation between specified genes."""
def __init__(self, expression_data: GeneExpression, calculator: SimilarityCalculator, rm_outliers: bool=True):
""":param expression_data: Data for all genes :param calculator: Similar... | the_stack_v2_python_sparse | correlation_enrichment/library_correlation_enrichment.py | biolab/baylor-dicty | train | 0 |
bf39ff7a8923716007dba8836708fa272d543c38 | [
"this = cls()\nfor key, value in data.items():\n this[key] = [val['value'] for val in value]\nreturn this",
"norm_data = {}\nfor key, values in data.items():\n if isinstance(values, list):\n strings = []\n for value in values:\n if isinstance(value, str):\n strings.ap... | <|body_start_0|>
this = cls()
for key, value in data.items():
this[key] = [val['value'] for val in value]
return this
<|end_body_0|>
<|body_start_1|>
norm_data = {}
for key, values in data.items():
if isinstance(values, list):
strings = []... | A structure holding aliases for a Wikibase entity. It is a mapping from a language to a list of strings. | AliasesDict | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AliasesDict:
"""A structure holding aliases for a Wikibase entity. It is a mapping from a language to a list of strings."""
def fromJSON(cls, data, repo=None):
"""Construct a new AliasesDict from JSON."""
<|body_0|>
def normalizeData(cls, data: dict) -> dict:
"""... | stack_v2_sparse_classes_36k_train_028083 | 18,327 | permissive | [
{
"docstring": "Construct a new AliasesDict from JSON.",
"name": "fromJSON",
"signature": "def fromJSON(cls, data, repo=None)"
},
{
"docstring": "Helper function to expand data into the Wikibase API structure. .. versionchanged:: 7.7 raises TypeError if *data* value is not a list. :param data: D... | 3 | null | Implement the Python class `AliasesDict` described below.
Class description:
A structure holding aliases for a Wikibase entity. It is a mapping from a language to a list of strings.
Method signatures and docstrings:
- def fromJSON(cls, data, repo=None): Construct a new AliasesDict from JSON.
- def normalizeData(cls, ... | Implement the Python class `AliasesDict` described below.
Class description:
A structure holding aliases for a Wikibase entity. It is a mapping from a language to a list of strings.
Method signatures and docstrings:
- def fromJSON(cls, data, repo=None): Construct a new AliasesDict from JSON.
- def normalizeData(cls, ... | 5c01e6bfcd328bc6eae643e661f1a0ae57612808 | <|skeleton|>
class AliasesDict:
"""A structure holding aliases for a Wikibase entity. It is a mapping from a language to a list of strings."""
def fromJSON(cls, data, repo=None):
"""Construct a new AliasesDict from JSON."""
<|body_0|>
def normalizeData(cls, data: dict) -> dict:
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AliasesDict:
"""A structure holding aliases for a Wikibase entity. It is a mapping from a language to a list of strings."""
def fromJSON(cls, data, repo=None):
"""Construct a new AliasesDict from JSON."""
this = cls()
for key, value in data.items():
this[key] = [val['v... | the_stack_v2_python_sparse | pywikibot/page/_collections.py | wikimedia/pywikibot | train | 432 |
97b2ba3de09fe1975cbba11a4e8bc609f6a23c5f | [
"self.max_atoms = max_atoms\nself.flatten = flatten\nself.scm: Any = None",
"if 'struct' in kwargs and datapoint is None:\n datapoint = kwargs.get('struct')\n raise DeprecationWarning('Struct is being phased out as a parameter, please pass \"datapoint\" instead.')\nif self.scm is None:\n try:\n fr... | <|body_start_0|>
self.max_atoms = max_atoms
self.flatten = flatten
self.scm: Any = None
<|end_body_0|>
<|body_start_1|>
if 'struct' in kwargs and datapoint is None:
datapoint = kwargs.get('struct')
raise DeprecationWarning('Struct is being phased out as a paramet... | Calculate sine Coulomb matrix for crystals. A variant of Coulomb matrix for periodic crystals. The sine Coulomb matrix is identical to the Coulomb matrix, except that the inverse distance function is replaced by the inverse of sin**2 of the vector between sites which are periodic in the dimensions of the crystal lattic... | SineCoulombMatrix | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SineCoulombMatrix:
"""Calculate sine Coulomb matrix for crystals. A variant of Coulomb matrix for periodic crystals. The sine Coulomb matrix is identical to the Coulomb matrix, except that the inverse distance function is replaced by the inverse of sin**2 of the vector between sites which are per... | stack_v2_sparse_classes_36k_train_028084 | 3,823 | permissive | [
{
"docstring": "Parameters ---------- max_atoms: int (default 100) Maximum number of atoms for any crystal in the dataset. Used to pad the Coulomb matrix. flatten: bool (default True) Return flattened vector of matrix eigenvalues.",
"name": "__init__",
"signature": "def __init__(self, max_atoms: int=100... | 2 | stack_v2_sparse_classes_30k_train_005725 | Implement the Python class `SineCoulombMatrix` described below.
Class description:
Calculate sine Coulomb matrix for crystals. A variant of Coulomb matrix for periodic crystals. The sine Coulomb matrix is identical to the Coulomb matrix, except that the inverse distance function is replaced by the inverse of sin**2 of... | Implement the Python class `SineCoulombMatrix` described below.
Class description:
Calculate sine Coulomb matrix for crystals. A variant of Coulomb matrix for periodic crystals. The sine Coulomb matrix is identical to the Coulomb matrix, except that the inverse distance function is replaced by the inverse of sin**2 of... | ee6e67ebcf7bf04259cf13aff6388e2b791fea3d | <|skeleton|>
class SineCoulombMatrix:
"""Calculate sine Coulomb matrix for crystals. A variant of Coulomb matrix for periodic crystals. The sine Coulomb matrix is identical to the Coulomb matrix, except that the inverse distance function is replaced by the inverse of sin**2 of the vector between sites which are per... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SineCoulombMatrix:
"""Calculate sine Coulomb matrix for crystals. A variant of Coulomb matrix for periodic crystals. The sine Coulomb matrix is identical to the Coulomb matrix, except that the inverse distance function is replaced by the inverse of sin**2 of the vector between sites which are periodic in the ... | the_stack_v2_python_sparse | deepchem/feat/material_featurizers/sine_coulomb_matrix.py | deepchem/deepchem | train | 4,876 |
35aab647286e2fe337274fd92a4fbd27d61f91ed | [
"self.telephone = [(), ('*',), ('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'h', 'i'), ('j', 'k', 'l'), ('m', 'n', 'o'), ('p', 'q', 'r', 's'), ('t', 'u', 'v'), ('w', 'x', 'y', 'z')]\nif len(digits) == 0:\n return []\nelif len(digits) == 1:\n return list(self.telephone[int(digits[0])])\nelse:\n return self.dfs(0... | <|body_start_0|>
self.telephone = [(), ('*',), ('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'h', 'i'), ('j', 'k', 'l'), ('m', 'n', 'o'), ('p', 'q', 'r', 's'), ('t', 'u', 'v'), ('w', 'x', 'y', 'z')]
if len(digits) == 0:
return []
elif len(digits) == 1:
return list(self.telephon... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str]"""
<|body_0|>
def dfs(self, i, digits):
""":type i: int :type digits: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.telephone = [(), ('*',), ('a', 'b',... | stack_v2_sparse_classes_36k_train_028085 | 1,585 | no_license | [
{
"docstring": ":type digits: str :rtype: List[str]",
"name": "letterCombinations",
"signature": "def letterCombinations(self, digits)"
},
{
"docstring": ":type i: int :type digits: str",
"name": "dfs",
"signature": "def dfs(self, i, digits)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations(self, digits): :type digits: str :rtype: List[str]
- def dfs(self, i, digits): :type i: int :type digits: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations(self, digits): :type digits: str :rtype: List[str]
- def dfs(self, i, digits): :type i: int :type digits: str
<|skeleton|>
class Solution:
def letter... | f832227c4d0e0b1c0cc326561187004ef24e2a68 | <|skeleton|>
class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str]"""
<|body_0|>
def dfs(self, i, digits):
""":type i: int :type digits: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str]"""
self.telephone = [(), ('*',), ('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'h', 'i'), ('j', 'k', 'l'), ('m', 'n', 'o'), ('p', 'q', 'r', 's'), ('t', 'u', 'v'), ('w', 'x', 'y', 'z')]
if len(digits) == 0:... | the_stack_v2_python_sparse | 17.py | Gackle/leetcode_practice | train | 0 | |
0d74c185629f7b137635e2be126a5fdb46c83b73 | [
"model = from_state.apps.get_model(app_label, self.name)\nif self.allow_migrate_model(schema_editor.connection.alias, model):\n schema_editor.delete_materialized_view_model(model)",
"model = to_state.apps.get_model(app_label, self.name)\nif self.allow_migrate_model(schema_editor.connection.alias, model):\n ... | <|body_start_0|>
model = from_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.delete_materialized_view_model(model)
<|end_body_0|>
<|body_start_1|>
model = to_state.apps.get_model(app_label, self.name)
... | Deletes the specified materialized view model. | PostgresDeleteMaterializedViewModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostgresDeleteMaterializedViewModel:
"""Deletes the specified materialized view model."""
def database_forwards(self, app_label, schema_editor, from_state, to_state):
"""Apply this migration operation forwards."""
<|body_0|>
def database_backwards(self, app_label, schema... | stack_v2_sparse_classes_36k_train_028086 | 1,116 | permissive | [
{
"docstring": "Apply this migration operation forwards.",
"name": "database_forwards",
"signature": "def database_forwards(self, app_label, schema_editor, from_state, to_state)"
},
{
"docstring": "Apply this migration operation backwards.",
"name": "database_backwards",
"signature": "de... | 3 | stack_v2_sparse_classes_30k_val_000492 | Implement the Python class `PostgresDeleteMaterializedViewModel` described below.
Class description:
Deletes the specified materialized view model.
Method signatures and docstrings:
- def database_forwards(self, app_label, schema_editor, from_state, to_state): Apply this migration operation forwards.
- def database_b... | Implement the Python class `PostgresDeleteMaterializedViewModel` described below.
Class description:
Deletes the specified materialized view model.
Method signatures and docstrings:
- def database_forwards(self, app_label, schema_editor, from_state, to_state): Apply this migration operation forwards.
- def database_b... | e5503cb3f3c1b7959bd55253d3a79296f4c8f0ef | <|skeleton|>
class PostgresDeleteMaterializedViewModel:
"""Deletes the specified materialized view model."""
def database_forwards(self, app_label, schema_editor, from_state, to_state):
"""Apply this migration operation forwards."""
<|body_0|>
def database_backwards(self, app_label, schema... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PostgresDeleteMaterializedViewModel:
"""Deletes the specified materialized view model."""
def database_forwards(self, app_label, schema_editor, from_state, to_state):
"""Apply this migration operation forwards."""
model = from_state.apps.get_model(app_label, self.name)
if self.all... | the_stack_v2_python_sparse | psqlextra/backend/migrations/operations/delete_materialized_view_model.py | SectorLabs/django-postgres-extra | train | 645 |
019a7ca02bfe5ca7c1893edeebaa1e3d50302e42 | [
"config = check_config(config, catalogue.data)\nobsmax, obsmaxsig = _get_observed_mmax(catalogue.data, config)\nmmin = config['input_mmin']\nbeta = config['b-value'] * np.log(10.0)\nneq, mmin = _get_magnitude_vector_properties(catalogue.data, config)\nmmax = np.copy(obsmax)\nd_t = np.inf\niterator = 0\nprint(mmin, ... | <|body_start_0|>
config = check_config(config, catalogue.data)
obsmax, obsmaxsig = _get_observed_mmax(catalogue.data, config)
mmin = config['input_mmin']
beta = config['b-value'] * np.log(10.0)
neq, mmin = _get_magnitude_vector_properties(catalogue.data, config)
mmax = np... | Implements Kijko and Sellevol estimator for maximim magnitude assuming a fixed b-value. Coded from description in Kijko (2004): Kijko, A. (2004), ..., Pure & Applied Geophysics, | KijkoSellevolFixedb | [
"AGPL-3.0-only",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KijkoSellevolFixedb:
"""Implements Kijko and Sellevol estimator for maximim magnitude assuming a fixed b-value. Coded from description in Kijko (2004): Kijko, A. (2004), ..., Pure & Applied Geophysics,"""
def get_mmax(self, catalogue, config):
"""Calculates Maximum magnitude :param c... | stack_v2_sparse_classes_36k_train_028087 | 6,333 | permissive | [
{
"docstring": "Calculates Maximum magnitude :param catalogue: Earthquake catalogue as instance of :class: openquake.hmtk.seismicity.catalogue.Catalogue :param dict config: Configuration file for algorithm, contains the attributes: * 'b-value': b-value (positive float) * 'input_mmin': Minimum magnitude for inte... | 2 | stack_v2_sparse_classes_30k_train_011699 | Implement the Python class `KijkoSellevolFixedb` described below.
Class description:
Implements Kijko and Sellevol estimator for maximim magnitude assuming a fixed b-value. Coded from description in Kijko (2004): Kijko, A. (2004), ..., Pure & Applied Geophysics,
Method signatures and docstrings:
- def get_mmax(self, ... | Implement the Python class `KijkoSellevolFixedb` described below.
Class description:
Implements Kijko and Sellevol estimator for maximim magnitude assuming a fixed b-value. Coded from description in Kijko (2004): Kijko, A. (2004), ..., Pure & Applied Geophysics,
Method signatures and docstrings:
- def get_mmax(self, ... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class KijkoSellevolFixedb:
"""Implements Kijko and Sellevol estimator for maximim magnitude assuming a fixed b-value. Coded from description in Kijko (2004): Kijko, A. (2004), ..., Pure & Applied Geophysics,"""
def get_mmax(self, catalogue, config):
"""Calculates Maximum magnitude :param c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KijkoSellevolFixedb:
"""Implements Kijko and Sellevol estimator for maximim magnitude assuming a fixed b-value. Coded from description in Kijko (2004): Kijko, A. (2004), ..., Pure & Applied Geophysics,"""
def get_mmax(self, catalogue, config):
"""Calculates Maximum magnitude :param catalogue: Ear... | the_stack_v2_python_sparse | openquake/hmtk/seismicity/max_magnitude/kijko_sellevol_fixed_b.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
ee2408bf1306adf0bfd8ff0824bb9d4f08e60d39 | [
"word_exists = set(words)\nlen_words = sorted([(-len(w), w) for w in words])\nfor l, w in len_words:\n if all((w[:i + 1] in word_exists for i in range(-l - 1))):\n return w\nreturn ''",
"max_len, res_w = (0, '')\nword_exists = set(words)\nfor w in word_exists:\n cond = True\n for i in range(len(w)... | <|body_start_0|>
word_exists = set(words)
len_words = sorted([(-len(w), w) for w in words])
for l, w in len_words:
if all((w[:i + 1] in word_exists for i in range(-l - 1))):
return w
return ''
<|end_body_0|>
<|body_start_1|>
max_len, res_w = (0, '')
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestWord_generator(self, words):
""":type words: List[str] :rtype: str"""
<|body_0|>
def longestWord(self, words):
""":type words: List[str] :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
word_exists = set(words)
... | stack_v2_sparse_classes_36k_train_028088 | 1,517 | no_license | [
{
"docstring": ":type words: List[str] :rtype: str",
"name": "longestWord_generator",
"signature": "def longestWord_generator(self, words)"
},
{
"docstring": ":type words: List[str] :rtype: str",
"name": "longestWord",
"signature": "def longestWord(self, words)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008546 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestWord_generator(self, words): :type words: List[str] :rtype: str
- def longestWord(self, words): :type words: List[str] :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestWord_generator(self, words): :type words: List[str] :rtype: str
- def longestWord(self, words): :type words: List[str] :rtype: str
<|skeleton|>
class Solution:
d... | b3a2013d1c3c7a5a16727dbc2ecbc934a01a3979 | <|skeleton|>
class Solution:
def longestWord_generator(self, words):
""":type words: List[str] :rtype: str"""
<|body_0|>
def longestWord(self, words):
""":type words: List[str] :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestWord_generator(self, words):
""":type words: List[str] :rtype: str"""
word_exists = set(words)
len_words = sorted([(-len(w), w) for w in words])
for l, w in len_words:
if all((w[:i + 1] in word_exists for i in range(-l - 1))):
re... | the_stack_v2_python_sparse | LeetcodePython/LongestWordinDictionary720.py | DianaLuca/Algorithms | train | 1 | |
b377908820641d4aed3e4e8637c0843966ef90ab | [
"logging.debug('Server started')\nself.__host = '127.0.0.1'\nself.__port = 65432\nthread = threading.Thread(target=self.run, args=())\nthread.daemon = True\nthread.start()",
"logging.debug('Starting Reaper Com Server')\nwith socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n s.bind((self.__host, self.__... | <|body_start_0|>
logging.debug('Server started')
self.__host = '127.0.0.1'
self.__port = 65432
thread = threading.Thread(target=self.run, args=())
thread.daemon = True
thread.start()
<|end_body_0|>
<|body_start_1|>
logging.debug('Starting Reaper Com Server')
... | reaper_server. TCP/IP server waiting for commands from Reaper Methods ------- init: init class run: start server and wait for messages Properties ---------- host: host address port: TCP port to listen | reaper_server | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class reaper_server:
"""reaper_server. TCP/IP server waiting for commands from Reaper Methods ------- init: init class run: start server and wait for messages Properties ---------- host: host address port: TCP port to listen"""
def __init__(self):
"""Init. Set TCP settings in class"""
... | stack_v2_sparse_classes_36k_train_028089 | 2,320 | permissive | [
{
"docstring": "Init. Set TCP settings in class",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Run. Run server",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011756 | Implement the Python class `reaper_server` described below.
Class description:
reaper_server. TCP/IP server waiting for commands from Reaper Methods ------- init: init class run: start server and wait for messages Properties ---------- host: host address port: TCP port to listen
Method signatures and docstrings:
- de... | Implement the Python class `reaper_server` described below.
Class description:
reaper_server. TCP/IP server waiting for commands from Reaper Methods ------- init: init class run: start server and wait for messages Properties ---------- host: host address port: TCP port to listen
Method signatures and docstrings:
- de... | 96003eeaf0ce830691eba11cd85137495c721cdb | <|skeleton|>
class reaper_server:
"""reaper_server. TCP/IP server waiting for commands from Reaper Methods ------- init: init class run: start server and wait for messages Properties ---------- host: host address port: TCP port to listen"""
def __init__(self):
"""Init. Set TCP settings in class"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class reaper_server:
"""reaper_server. TCP/IP server waiting for commands from Reaper Methods ------- init: init class run: start server and wait for messages Properties ---------- host: host address port: TCP port to listen"""
def __init__(self):
"""Init. Set TCP settings in class"""
logging.d... | the_stack_v2_python_sparse | PresetManager/reaper/server.py | brummbrum/PresetManager | train | 0 |
ab37d62206bd8e777d9b3da96330308b7d607907 | [
"super().__init__(artificial_noise_ADV, artificial_noise_CR, multiclasshandler)\nself.artificial_noise_CR = artificial_noise_CR\nself.n_updates = 0\nself.subcampaignHandlers = []\nfor s in range(n_subcamp):\n self.subcampaignHandlers.append(Normal_SubCampaignHandler(list(classes_config.keys())[s], self.bids, sel... | <|body_start_0|>
super().__init__(artificial_noise_ADV, artificial_noise_CR, multiclasshandler)
self.artificial_noise_CR = artificial_noise_CR
self.n_updates = 0
self.subcampaignHandlers = []
for s in range(n_subcamp):
self.subcampaignHandlers.append(Normal_SubCampaig... | Normal_FixedPriceBudgetAllocator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Normal_FixedPriceBudgetAllocator:
def __init__(self, artificial_noise_ADV, artificial_noise_CR, multiclasshandler):
"""@param artificial_noise_ADV: how much exploration on the advertising learners @param artificial_noise_CR: how much exploration on the conversion rates learners @param mu... | stack_v2_sparse_classes_36k_train_028090 | 1,788 | no_license | [
{
"docstring": "@param artificial_noise_ADV: how much exploration on the advertising learners @param artificial_noise_CR: how much exploration on the conversion rates learners @param multiclasshandler: classes information",
"name": "__init__",
"signature": "def __init__(self, artificial_noise_ADV, artif... | 2 | stack_v2_sparse_classes_30k_train_000594 | Implement the Python class `Normal_FixedPriceBudgetAllocator` described below.
Class description:
Implement the Normal_FixedPriceBudgetAllocator class.
Method signatures and docstrings:
- def __init__(self, artificial_noise_ADV, artificial_noise_CR, multiclasshandler): @param artificial_noise_ADV: how much exploratio... | Implement the Python class `Normal_FixedPriceBudgetAllocator` described below.
Class description:
Implement the Normal_FixedPriceBudgetAllocator class.
Method signatures and docstrings:
- def __init__(self, artificial_noise_ADV, artificial_noise_CR, multiclasshandler): @param artificial_noise_ADV: how much exploratio... | 125147257fb8d7bbbe0deef070b0c3c0bddeffe0 | <|skeleton|>
class Normal_FixedPriceBudgetAllocator:
def __init__(self, artificial_noise_ADV, artificial_noise_CR, multiclasshandler):
"""@param artificial_noise_ADV: how much exploration on the advertising learners @param artificial_noise_CR: how much exploration on the conversion rates learners @param mu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Normal_FixedPriceBudgetAllocator:
def __init__(self, artificial_noise_ADV, artificial_noise_CR, multiclasshandler):
"""@param artificial_noise_ADV: how much exploration on the advertising learners @param artificial_noise_CR: how much exploration on the conversion rates learners @param multiclasshandle... | the_stack_v2_python_sparse | project/part_7/part_7_normal/Normal_FixedPriceBudgetAllocator.py | damiano1996/DataIntelligenceApplications | train | 0 | |
c6b61b1ccc655e553605ee2fb68683d9add0b6f2 | [
"self.availability_zone_id = availability_zone_id\nself.db_instance_id = db_instance_id\nself.db_option_group_id = db_option_group_id\nself.db_parameter_group_id = db_parameter_group_id\nself.db_port = db_port\nself.enable_auto_minor_version_upgrade = enable_auto_minor_version_upgrade\nself.enable_copy_tags_to_snap... | <|body_start_0|>
self.availability_zone_id = availability_zone_id
self.db_instance_id = db_instance_id
self.db_option_group_id = db_option_group_id
self.db_parameter_group_id = db_parameter_group_id
self.db_port = db_port
self.enable_auto_minor_version_upgrade = enable_au... | Implementation of the 'RdsParams' model. Specifies rds params for the restore operation. Attributes: availability_zone_id (long|int): Entity representing the availability zone to use while restoring the DB. db_instance_id (string, required): The DB instance identifier to use for the restored DB. This field is required.... | RdsParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RdsParams:
"""Implementation of the 'RdsParams' model. Specifies rds params for the restore operation. Attributes: availability_zone_id (long|int): Entity representing the availability zone to use while restoring the DB. db_instance_id (string, required): The DB instance identifier to use for the... | stack_v2_sparse_classes_36k_train_028091 | 4,883 | permissive | [
{
"docstring": "Constructor for the RdsParams class",
"name": "__init__",
"signature": "def __init__(self, availability_zone_id=None, db_instance_id=None, db_option_group_id=None, db_parameter_group_id=None, db_port=None, enable_auto_minor_version_upgrade=None, enable_copy_tags_to_snapshots=None, enable... | 2 | stack_v2_sparse_classes_30k_train_001541 | Implement the Python class `RdsParams` described below.
Class description:
Implementation of the 'RdsParams' model. Specifies rds params for the restore operation. Attributes: availability_zone_id (long|int): Entity representing the availability zone to use while restoring the DB. db_instance_id (string, required): Th... | Implement the Python class `RdsParams` described below.
Class description:
Implementation of the 'RdsParams' model. Specifies rds params for the restore operation. Attributes: availability_zone_id (long|int): Entity representing the availability zone to use while restoring the DB. db_instance_id (string, required): Th... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RdsParams:
"""Implementation of the 'RdsParams' model. Specifies rds params for the restore operation. Attributes: availability_zone_id (long|int): Entity representing the availability zone to use while restoring the DB. db_instance_id (string, required): The DB instance identifier to use for the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RdsParams:
"""Implementation of the 'RdsParams' model. Specifies rds params for the restore operation. Attributes: availability_zone_id (long|int): Entity representing the availability zone to use while restoring the DB. db_instance_id (string, required): The DB instance identifier to use for the restored DB.... | the_stack_v2_python_sparse | cohesity_management_sdk/models/rds_params.py | cohesity/management-sdk-python | train | 24 |
d40d60aa8544335a6ff99a90a85800a8a2f3e24d | [
"self.create_and_verify_stack('single/basic_api')\nfirst_dep_ids = self.get_stack_deployment_ids()\nself.assertEqual(len(first_dep_ids), 1)\nself.set_template_resource_property('MyApi', 'DefinitionUri', self.get_s3_uri('swagger2.json'))\nself.update_stack()\nsecond_dep_ids = self.get_stack_deployment_ids()\nself.as... | <|body_start_0|>
self.create_and_verify_stack('single/basic_api')
first_dep_ids = self.get_stack_deployment_ids()
self.assertEqual(len(first_dep_ids), 1)
self.set_template_resource_property('MyApi', 'DefinitionUri', self.get_s3_uri('swagger2.json'))
self.update_stack()
se... | Basic AWS::Serverless::Api tests | TestBasicApi | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestBasicApi:
"""Basic AWS::Serverless::Api tests"""
def test_basic_api(self):
"""Creates an API and updates its DefinitionUri"""
<|body_0|>
def test_basic_api_with_mode(self):
"""Creates an API and updates its DefinitionUri"""
<|body_1|>
def test_ba... | stack_v2_sparse_classes_36k_train_028092 | 5,166 | permissive | [
{
"docstring": "Creates an API and updates its DefinitionUri",
"name": "test_basic_api",
"signature": "def test_basic_api(self)"
},
{
"docstring": "Creates an API and updates its DefinitionUri",
"name": "test_basic_api_with_mode",
"signature": "def test_basic_api_with_mode(self)"
},
... | 6 | stack_v2_sparse_classes_30k_train_018246 | Implement the Python class `TestBasicApi` described below.
Class description:
Basic AWS::Serverless::Api tests
Method signatures and docstrings:
- def test_basic_api(self): Creates an API and updates its DefinitionUri
- def test_basic_api_with_mode(self): Creates an API and updates its DefinitionUri
- def test_basic_... | Implement the Python class `TestBasicApi` described below.
Class description:
Basic AWS::Serverless::Api tests
Method signatures and docstrings:
- def test_basic_api(self): Creates an API and updates its DefinitionUri
- def test_basic_api_with_mode(self): Creates an API and updates its DefinitionUri
- def test_basic_... | 0bb862ea715a4aafbb7984b407a81856b3ae19c4 | <|skeleton|>
class TestBasicApi:
"""Basic AWS::Serverless::Api tests"""
def test_basic_api(self):
"""Creates an API and updates its DefinitionUri"""
<|body_0|>
def test_basic_api_with_mode(self):
"""Creates an API and updates its DefinitionUri"""
<|body_1|>
def test_ba... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestBasicApi:
"""Basic AWS::Serverless::Api tests"""
def test_basic_api(self):
"""Creates an API and updates its DefinitionUri"""
self.create_and_verify_stack('single/basic_api')
first_dep_ids = self.get_stack_deployment_ids()
self.assertEqual(len(first_dep_ids), 1)
... | the_stack_v2_python_sparse | integration/single/test_basic_api.py | aws/serverless-application-model | train | 2,055 |
561471ab045e389d791bab7bf4968b71143294b6 | [
"super().__init__()\nif not components:\n raise ValueError('At least one (weight, loss_function) pair must be supplied.')\nself.components = components",
"result = None\nfor weight, loss_function in self.components:\n loss = weight * loss_function(output, target, **kwargs)\n if result is None:\n r... | <|body_start_0|>
super().__init__()
if not components:
raise ValueError('At least one (weight, loss_function) pair must be supplied.')
self.components = components
<|end_body_0|>
<|body_start_1|>
result = None
for weight, loss_function in self.components:
... | MixtureLoss | [
"MIT",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MixtureLoss:
def __init__(self, components: List[Tuple[float, SupervisedLearningCriterion]]):
"""Loss function defined as a weighted mixture (interpolation) of other loss functions. :param components: a non-empty list of weights and loss function instances."""
<|body_0|>
def... | stack_v2_sparse_classes_36k_train_028093 | 1,825 | permissive | [
{
"docstring": "Loss function defined as a weighted mixture (interpolation) of other loss functions. :param components: a non-empty list of weights and loss function instances.",
"name": "__init__",
"signature": "def __init__(self, components: List[Tuple[float, SupervisedLearningCriterion]])"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_006862 | Implement the Python class `MixtureLoss` described below.
Class description:
Implement the MixtureLoss class.
Method signatures and docstrings:
- def __init__(self, components: List[Tuple[float, SupervisedLearningCriterion]]): Loss function defined as a weighted mixture (interpolation) of other loss functions. :param... | Implement the Python class `MixtureLoss` described below.
Class description:
Implement the MixtureLoss class.
Method signatures and docstrings:
- def __init__(self, components: List[Tuple[float, SupervisedLearningCriterion]]): Loss function defined as a weighted mixture (interpolation) of other loss functions. :param... | 2877002d50d3a34d80f647c18cb561025d9066cc | <|skeleton|>
class MixtureLoss:
def __init__(self, components: List[Tuple[float, SupervisedLearningCriterion]]):
"""Loss function defined as a weighted mixture (interpolation) of other loss functions. :param components: a non-empty list of weights and loss function instances."""
<|body_0|>
def... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MixtureLoss:
def __init__(self, components: List[Tuple[float, SupervisedLearningCriterion]]):
"""Loss function defined as a weighted mixture (interpolation) of other loss functions. :param components: a non-empty list of weights and loss function instances."""
super().__init__()
if not... | the_stack_v2_python_sparse | InnerEye/ML/models/losses/mixture.py | microsoft/InnerEye-DeepLearning | train | 511 | |
f0fa262e96ddae6b6d882a564768e2f3114d6b09 | [
"assert entity_type in BlueprintEntity.entity_classification, 'Unknown entity type {}'.format(entity_type)\nclass_list_sorted = sorted(BlueprintEntity.entity_classification[entity_type].keys())\nreturn class_list_sorted[0]",
"assert entity_type in BlueprintEntity.entity_classification\nif entity_classification is... | <|body_start_0|>
assert entity_type in BlueprintEntity.entity_classification, 'Unknown entity type {}'.format(entity_type)
class_list_sorted = sorted(BlueprintEntity.entity_classification[entity_type].keys())
return class_list_sorted[0]
<|end_body_0|>
<|body_start_1|>
assert entity_type... | @type entity_classification: dict[int, dict[int, str]] | BlueprintEntity | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlueprintEntity:
"""@type entity_classification: dict[int, dict[int, str]]"""
def get_entity_classification_default(entity_type):
"""Return name of entity classification @param entity_type: @type entity_type: int @rtype: str"""
<|body_0|>
def get_entity_classification_na... | stack_v2_sparse_classes_36k_train_028094 | 2,637 | no_license | [
{
"docstring": "Return name of entity classification @param entity_type: @type entity_type: int @rtype: str",
"name": "get_entity_classification_default",
"signature": "def get_entity_classification_default(entity_type)"
},
{
"docstring": "Return name of entity classification @param entity_type:... | 2 | stack_v2_sparse_classes_30k_train_007691 | Implement the Python class `BlueprintEntity` described below.
Class description:
@type entity_classification: dict[int, dict[int, str]]
Method signatures and docstrings:
- def get_entity_classification_default(entity_type): Return name of entity classification @param entity_type: @type entity_type: int @rtype: str
- ... | Implement the Python class `BlueprintEntity` described below.
Class description:
@type entity_classification: dict[int, dict[int, str]]
Method signatures and docstrings:
- def get_entity_classification_default(entity_type): Return name of entity classification @param entity_type: @type entity_type: int @rtype: str
- ... | 12fe1b39513cf0d1ca8edd9adb6c11269c58fbb5 | <|skeleton|>
class BlueprintEntity:
"""@type entity_classification: dict[int, dict[int, str]]"""
def get_entity_classification_default(entity_type):
"""Return name of entity classification @param entity_type: @type entity_type: int @rtype: str"""
<|body_0|>
def get_entity_classification_na... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BlueprintEntity:
"""@type entity_classification: dict[int, dict[int, str]]"""
def get_entity_classification_default(entity_type):
"""Return name of entity classification @param entity_type: @type entity_type: int @rtype: str"""
assert entity_type in BlueprintEntity.entity_classification, ... | the_stack_v2_python_sparse | smlib/utils/blueprintentity.py | p-hofmann/SMBEdit | train | 6 |
a6c784bae4053d08de3b26943c37f9876833ce81 | [
"if n < 2:\n return 0\nif n == 2:\n return 1\nif n == 3:\n return 2\nresult = [0] * (n + 1)\nresult[1], result[2], result[3] = (1, 2, 3)\nfor i in range(4, n + 1):\n maxVal = i\n for j in range(1, (i + 2) // 2):\n temp = result[j] * result[i - j]\n if temp > maxVal:\n maxVal ... | <|body_start_0|>
if n < 2:
return 0
if n == 2:
return 1
if n == 3:
return 2
result = [0] * (n + 1)
result[1], result[2], result[3] = (1, 2, 3)
for i in range(4, n + 1):
maxVal = i
for j in range(1, (i + 2) // 2):... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def cutRope1(self, n):
""":type n:int :rtype:int"""
<|body_0|>
def cutRope2(self, n):
""":type n:int :rtype:int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n < 2:
return 0
if n == 2:
return 1
... | stack_v2_sparse_classes_36k_train_028095 | 1,422 | no_license | [
{
"docstring": ":type n:int :rtype:int",
"name": "cutRope1",
"signature": "def cutRope1(self, n)"
},
{
"docstring": ":type n:int :rtype:int",
"name": "cutRope2",
"signature": "def cutRope2(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009950 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def cutRope1(self, n): :type n:int :rtype:int
- def cutRope2(self, n): :type n:int :rtype:int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def cutRope1(self, n): :type n:int :rtype:int
- def cutRope2(self, n): :type n:int :rtype:int
<|skeleton|>
class Solution:
def cutRope1(self, n):
""":type n:int :rt... | 42a15943394ae533dcd0d5bbf52e4366ab0756ab | <|skeleton|>
class Solution:
def cutRope1(self, n):
""":type n:int :rtype:int"""
<|body_0|>
def cutRope2(self, n):
""":type n:int :rtype:int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def cutRope1(self, n):
""":type n:int :rtype:int"""
if n < 2:
return 0
if n == 2:
return 1
if n == 3:
return 2
result = [0] * (n + 1)
result[1], result[2], result[3] = (1, 2, 3)
for i in range(4, n + 1):
... | the_stack_v2_python_sparse | test14.py | nihao-hit/jianzhiOffer | train | 0 | |
d5a107d3f06b0f0ed33cda4810e159f50dcdee47 | [
"values = self.shift_data.getlist('ids', self.key_type)\nif not values:\n return Response(status=status.HTTP_200_OK)\nfield = self.shift_data.get('field')\nif field not in self.batch_set_fields:\n raise exceptions.PermissionDenied()\nfilter_config = self.batch_set_fields[field]\nallow_null = False\nif isinsta... | <|body_start_0|>
values = self.shift_data.getlist('ids', self.key_type)
if not values:
return Response(status=status.HTTP_200_OK)
field = self.shift_data.get('field')
if field not in self.batch_set_fields:
raise exceptions.PermissionDenied()
filter_config ... | 批量设置字段值混入类 | BatchSetModelMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatchSetModelMixin:
"""批量设置字段值混入类"""
def batch_set(self, request):
"""批量设置字段通用api :param request: 请求对象 :return: 响应对象"""
<|body_0|>
def perform_batch_set(self, queryset, field, value):
"""批量设置字段通用更新 :param queryset: 更新的queryset :param field: 字段名称 :param value: 更新后... | stack_v2_sparse_classes_36k_train_028096 | 11,301 | no_license | [
{
"docstring": "批量设置字段通用api :param request: 请求对象 :return: 响应对象",
"name": "batch_set",
"signature": "def batch_set(self, request)"
},
{
"docstring": "批量设置字段通用更新 :param queryset: 更新的queryset :param field: 字段名称 :param value: 更新后的值 :return: 是否有更新",
"name": "perform_batch_set",
"signature": "... | 2 | stack_v2_sparse_classes_30k_train_016178 | Implement the Python class `BatchSetModelMixin` described below.
Class description:
批量设置字段值混入类
Method signatures and docstrings:
- def batch_set(self, request): 批量设置字段通用api :param request: 请求对象 :return: 响应对象
- def perform_batch_set(self, queryset, field, value): 批量设置字段通用更新 :param queryset: 更新的queryset :param field: 字... | Implement the Python class `BatchSetModelMixin` described below.
Class description:
批量设置字段值混入类
Method signatures and docstrings:
- def batch_set(self, request): 批量设置字段通用api :param request: 请求对象 :return: 响应对象
- def perform_batch_set(self, queryset, field, value): 批量设置字段通用更新 :param queryset: 更新的queryset :param field: 字... | a4502d14652c6a926e74be6d0f53b2b50ada9c3c | <|skeleton|>
class BatchSetModelMixin:
"""批量设置字段值混入类"""
def batch_set(self, request):
"""批量设置字段通用api :param request: 请求对象 :return: 响应对象"""
<|body_0|>
def perform_batch_set(self, queryset, field, value):
"""批量设置字段通用更新 :param queryset: 更新的queryset :param field: 字段名称 :param value: 更新后... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BatchSetModelMixin:
"""批量设置字段值混入类"""
def batch_set(self, request):
"""批量设置字段通用api :param request: 请求对象 :return: 响应对象"""
values = self.shift_data.getlist('ids', self.key_type)
if not values:
return Response(status=status.HTTP_200_OK)
field = self.shift_data.get(... | the_stack_v2_python_sparse | sv/sv_base/extensions/rest/mixins.py | xianzhishenqie/project_template | train | 1 |
bfb4b0b420cdab0bf2790938bf1e8281a3e94938 | [
"super().__init__(fl_model, data_handler, hyperparams, **kwargs)\nself.curr_seed = 0\nself.permute_secret = 0\nif not kwargs:\n raise InvalidConfigurationException('No local_training info given at runtime')\nseed_file = get_seed_filename(kwargs)\nself.permute_secret = get_seed(seed_file)",
"allw = model_update... | <|body_start_0|>
super().__init__(fl_model, data_handler, hyperparams, **kwargs)
self.curr_seed = 0
self.permute_secret = 0
if not kwargs:
raise InvalidConfigurationException('No local_training info given at runtime')
seed_file = get_seed_filename(kwargs)
self... | ShuffleLocalTrainingHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShuffleLocalTrainingHandler:
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to ... | stack_v2_sparse_classes_36k_train_028097 | 6,140 | permissive | [
{
"docstring": "Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain data :type data_handler: `DataHandler` :param hyperparams: Hyperparameters used for training. :type hyper... | 6 | stack_v2_sparse_classes_30k_train_013630 | Implement the Python class `ShuffleLocalTrainingHandler` described below.
Class description:
Implement the ShuffleLocalTrainingHandler class.
Method signatures and docstrings:
- def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs): Initialize LocalTrainingHandler with fl_model, data_handler :param f... | Implement the Python class `ShuffleLocalTrainingHandler` described below.
Class description:
Implement the ShuffleLocalTrainingHandler class.
Method signatures and docstrings:
- def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs): Initialize LocalTrainingHandler with fl_model, data_handler :param f... | 64ffa2ee2e906b1bd6b3dd6aabcf6fc3de862608 | <|skeleton|>
class ShuffleLocalTrainingHandler:
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ShuffleLocalTrainingHandler:
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain data :t... | the_stack_v2_python_sparse | debugging-constructs/ibmfl/party/training/shuffle_local_training_handler.py | SEED-VT/FedDebug | train | 8 | |
33019cffc8cf1a595802092b51ad871607d19d78 | [
"std_value = registry_key.GetValueByName('Std')\nif std_value:\n localized_name = std_value.GetDataAsObject()\nelse:\n localized_name = registry_key.name\nmui_std_value = registry_key.GetValueByName('MUI_Std')\nif mui_std_value:\n mui_form = mui_std_value.GetDataAsObject()\nelse:\n mui_form = None\ntzi_... | <|body_start_0|>
std_value = registry_key.GetValueByName('Std')
if std_value:
localized_name = std_value.GetDataAsObject()
else:
localized_name = registry_key.name
mui_std_value = registry_key.GetValueByName('MUI_Std')
if mui_std_value:
mui_for... | The Windows available time zones plugin. | WindowsAvailableTimeZonesPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsAvailableTimeZonesPlugin:
"""The Windows available time zones plugin."""
def _ParseKey(self, mediator, registry_key, value_name):
"""Parses a Windows Registry key for a preprocessing attribute. Args: mediator (PreprocessMediator): mediates interactions between preprocess plugi... | stack_v2_sparse_classes_36k_train_028098 | 34,521 | permissive | [
{
"docstring": "Parses a Windows Registry key for a preprocessing attribute. Args: mediator (PreprocessMediator): mediates interactions between preprocess plugins and other components, such as storage. registry_key (dfwinreg.WinRegistryKey): Windows Registry key. value_name (str): name of the Windows Registry v... | 2 | null | Implement the Python class `WindowsAvailableTimeZonesPlugin` described below.
Class description:
The Windows available time zones plugin.
Method signatures and docstrings:
- def _ParseKey(self, mediator, registry_key, value_name): Parses a Windows Registry key for a preprocessing attribute. Args: mediator (Preprocess... | Implement the Python class `WindowsAvailableTimeZonesPlugin` described below.
Class description:
The Windows available time zones plugin.
Method signatures and docstrings:
- def _ParseKey(self, mediator, registry_key, value_name): Parses a Windows Registry key for a preprocessing attribute. Args: mediator (Preprocess... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class WindowsAvailableTimeZonesPlugin:
"""The Windows available time zones plugin."""
def _ParseKey(self, mediator, registry_key, value_name):
"""Parses a Windows Registry key for a preprocessing attribute. Args: mediator (PreprocessMediator): mediates interactions between preprocess plugi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WindowsAvailableTimeZonesPlugin:
"""The Windows available time zones plugin."""
def _ParseKey(self, mediator, registry_key, value_name):
"""Parses a Windows Registry key for a preprocessing attribute. Args: mediator (PreprocessMediator): mediates interactions between preprocess plugins and other ... | the_stack_v2_python_sparse | plaso/preprocessors/windows.py | log2timeline/plaso | train | 1,506 |
25c8b638be29ad7f9e06a034492bff3d322efe89 | [
"i = 0\ntryAgain = True\nwhile tryAgain and i < Parameters.MAX_SEND_TRY:\n try:\n serializedMessage = Params.CODEC.encode(message)\n params = {Parameters.POST_MESSAGE_KEYWORD: serializedMessage}\n params = urllib.parse.urlencode(params, doseq=True, encoding=Parameters.POST_MESSAGE_ENCODING)\... | <|body_start_0|>
i = 0
tryAgain = True
while tryAgain and i < Parameters.MAX_SEND_TRY:
try:
serializedMessage = Params.CODEC.encode(message)
params = {Parameters.POST_MESSAGE_KEYWORD: serializedMessage}
params = urllib.parse.urlencode(p... | HTTP request maker Uses http.client request method to create outgoing requests | Sender | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sender:
"""HTTP request maker Uses http.client request method to create outgoing requests"""
def send(connection, message):
"""Send the message via http on given connection :param message: message to send :param connection: connection to use to send the message"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_028099 | 8,302 | no_license | [
{
"docstring": "Send the message via http on given connection :param message: message to send :param connection: connection to use to send the message",
"name": "send",
"signature": "def send(connection, message)"
},
{
"docstring": "Request list of probes on given connection :param connection: c... | 3 | stack_v2_sparse_classes_30k_train_003306 | Implement the Python class `Sender` described below.
Class description:
HTTP request maker Uses http.client request method to create outgoing requests
Method signatures and docstrings:
- def send(connection, message): Send the message via http on given connection :param message: message to send :param connection: con... | Implement the Python class `Sender` described below.
Class description:
HTTP request maker Uses http.client request method to create outgoing requests
Method signatures and docstrings:
- def send(connection, message): Send the message via http on given connection :param message: message to send :param connection: con... | ca59600c973fb63ec974fa4a3b03784784f30a31 | <|skeleton|>
class Sender:
"""HTTP request maker Uses http.client request method to create outgoing requests"""
def send(connection, message):
"""Send the message via http on given connection :param message: message to send :param connection: connection to use to send the message"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Sender:
"""HTTP request maker Uses http.client request method to create outgoing requests"""
def send(connection, message):
"""Send the message via http on given connection :param message: message to send :param connection: connection to use to send the message"""
i = 0
tryAgain =... | the_stack_v2_python_sparse | app/common/protocols/http.py | netixx/NetProbes | train | 2 |
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