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values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0a78dbd276f421b761245e918da2c394cde1c727 | [
"q = Q()\nfor field in search_fields:\n kwargs = {field: search_key}\n q = q | Q(**kwargs)\nreturn q",
"q = Q()\nif search:\n searches = search.split()\n for search_key in searches:\n q = q & self.q_for_search_field(search_key, search_fields)\nreturn q",
"if not search_fields:\n search_fie... | <|body_start_0|>
q = Q()
for field in search_fields:
kwargs = {field: search_key}
q = q | Q(**kwargs)
return q
<|end_body_0|>
<|body_start_1|>
q = Q()
if search:
searches = search.split()
for search_key in searches:
... | This will be subclassed by both the Object Manager and the QuerySet. By doing it this way, you can chain these functions, along with filter(). A simpler approach would define these in MyClassManager(models.Manager), but won't let you chain them, as the result of each is a QuerySet, not a Manager. See http://stackoverfl... | SearchMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SearchMixin:
"""This will be subclassed by both the Object Manager and the QuerySet. By doing it this way, you can chain these functions, along with filter(). A simpler approach would define these in MyClassManager(models.Manager), but won't let you chain them, as the result of each is a QuerySet... | stack_v2_sparse_classes_75kplus_train_065700 | 12,516 | permissive | [
{
"docstring": "Given a search key from the search text, return the Q object which you can filter on, to show only objects containing this key.",
"name": "q_for_search_field",
"signature": "def q_for_search_field(self, search_key, search_fields)"
},
{
"docstring": "Given the text from the search... | 3 | stack_v2_sparse_classes_30k_train_041215 | Implement the Python class `SearchMixin` described below.
Class description:
This will be subclassed by both the Object Manager and the QuerySet. By doing it this way, you can chain these functions, along with filter(). A simpler approach would define these in MyClassManager(models.Manager), but won't let you chain th... | Implement the Python class `SearchMixin` described below.
Class description:
This will be subclassed by both the Object Manager and the QuerySet. By doing it this way, you can chain these functions, along with filter(). A simpler approach would define these in MyClassManager(models.Manager), but won't let you chain th... | 3d3f5a53efe32c721c34d7e48267328a4e9e8402 | <|skeleton|>
class SearchMixin:
"""This will be subclassed by both the Object Manager and the QuerySet. By doing it this way, you can chain these functions, along with filter(). A simpler approach would define these in MyClassManager(models.Manager), but won't let you chain them, as the result of each is a QuerySet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SearchMixin:
"""This will be subclassed by both the Object Manager and the QuerySet. By doing it this way, you can chain these functions, along with filter(). A simpler approach would define these in MyClassManager(models.Manager), but won't let you chain them, as the result of each is a QuerySet, not a Manag... | the_stack_v2_python_sparse | draalcore/models/base_manager.py | jojanper/draalcore | train | 1 |
bcd0383301565e06aa7b8b40ba1362564f2951d3 | [
"if not legacy_pyroot:\n scatteringPoint = TGLVertex3(2.0, 3.0, 0.2)\n glvec3 = TGLVector3(1, 2, 3)\n vertexEnd = scatteringPoint + glvec3\n vertexEnd = scatteringPoint + glvec3",
"if not legacy_pyroot:\n trackAfterScattering = TGLLine3(TGLVertex3(2.0, 3.0, 0.2), TGLVector3(0.0, 0.0, -20.0))\n s... | <|body_start_0|>
if not legacy_pyroot:
scatteringPoint = TGLVertex3(2.0, 3.0, 0.2)
glvec3 = TGLVector3(1, 2, 3)
vertexEnd = scatteringPoint + glvec3
vertexEnd = scatteringPoint + glvec3
<|end_body_0|>
<|body_start_1|>
if not legacy_pyroot:
tra... | Regression19TGL | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Regression19TGL:
def test1TGLVertex3OperatorPlus(self):
"""Try invoking TGLVertex3::operator+ twice"""
<|body_0|>
def test2TGLLine3Constructor(self):
"""Check that the right constructor of TGLLine3 is called"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_065701 | 29,305 | no_license | [
{
"docstring": "Try invoking TGLVertex3::operator+ twice",
"name": "test1TGLVertex3OperatorPlus",
"signature": "def test1TGLVertex3OperatorPlus(self)"
},
{
"docstring": "Check that the right constructor of TGLLine3 is called",
"name": "test2TGLLine3Constructor",
"signature": "def test2TG... | 2 | stack_v2_sparse_classes_30k_train_019010 | Implement the Python class `Regression19TGL` described below.
Class description:
Implement the Regression19TGL class.
Method signatures and docstrings:
- def test1TGLVertex3OperatorPlus(self): Try invoking TGLVertex3::operator+ twice
- def test2TGLLine3Constructor(self): Check that the right constructor of TGLLine3 i... | Implement the Python class `Regression19TGL` described below.
Class description:
Implement the Regression19TGL class.
Method signatures and docstrings:
- def test1TGLVertex3OperatorPlus(self): Try invoking TGLVertex3::operator+ twice
- def test2TGLLine3Constructor(self): Check that the right constructor of TGLLine3 i... | 134508460915282a5d82d6cbbb6e6afa14653413 | <|skeleton|>
class Regression19TGL:
def test1TGLVertex3OperatorPlus(self):
"""Try invoking TGLVertex3::operator+ twice"""
<|body_0|>
def test2TGLLine3Constructor(self):
"""Check that the right constructor of TGLLine3 is called"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Regression19TGL:
def test1TGLVertex3OperatorPlus(self):
"""Try invoking TGLVertex3::operator+ twice"""
if not legacy_pyroot:
scatteringPoint = TGLVertex3(2.0, 3.0, 0.2)
glvec3 = TGLVector3(1, 2, 3)
vertexEnd = scatteringPoint + glvec3
vertexEnd =... | the_stack_v2_python_sparse | python/regression/PyROOT_regressiontests.py | root-project/roottest | train | 41 | |
78d5677e32e6b588b32f33b38158759f6a2a96bf | [
"if dispositivo_id:\n dispositivo = Dispositivo.objects.get(pk=dispositivo_id)\n form = FormDispositivo(instance=dispositivo)\nelse:\n form = FormDispositivo()\nreturn render(request, self.template, {'form': form})",
"if dispositivo_id:\n dispositivo = Dispositivo.objects.get(pk=dispositivo_id)\n f... | <|body_start_0|>
if dispositivo_id:
dispositivo = Dispositivo.objects.get(pk=dispositivo_id)
form = FormDispositivo(instance=dispositivo)
else:
form = FormDispositivo()
return render(request, self.template, {'form': form})
<|end_body_0|>
<|body_start_1|>
... | Cadastra os dispositivos | CadastroDispositivoView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CadastroDispositivoView:
"""Cadastra os dispositivos"""
def get(self, request, dispositivo_id=None):
"""Cria um formulário para cadastrar o dispositivo"""
<|body_0|>
def post(self, request, dispositivo_id=None):
"""Envia para o servidor os dispositivos cadastrado... | stack_v2_sparse_classes_75kplus_train_065702 | 5,983 | no_license | [
{
"docstring": "Cria um formulário para cadastrar o dispositivo",
"name": "get",
"signature": "def get(self, request, dispositivo_id=None)"
},
{
"docstring": "Envia para o servidor os dispositivos cadastrados",
"name": "post",
"signature": "def post(self, request, dispositivo_id=None)"
... | 2 | stack_v2_sparse_classes_30k_train_048754 | Implement the Python class `CadastroDispositivoView` described below.
Class description:
Cadastra os dispositivos
Method signatures and docstrings:
- def get(self, request, dispositivo_id=None): Cria um formulário para cadastrar o dispositivo
- def post(self, request, dispositivo_id=None): Envia para o servidor os di... | Implement the Python class `CadastroDispositivoView` described below.
Class description:
Cadastra os dispositivos
Method signatures and docstrings:
- def get(self, request, dispositivo_id=None): Cria um formulário para cadastrar o dispositivo
- def post(self, request, dispositivo_id=None): Envia para o servidor os di... | 7b799a71380aca342e879c5556cc24fcebdac1ca | <|skeleton|>
class CadastroDispositivoView:
"""Cadastra os dispositivos"""
def get(self, request, dispositivo_id=None):
"""Cria um formulário para cadastrar o dispositivo"""
<|body_0|>
def post(self, request, dispositivo_id=None):
"""Envia para o servidor os dispositivos cadastrado... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CadastroDispositivoView:
"""Cadastra os dispositivos"""
def get(self, request, dispositivo_id=None):
"""Cria um formulário para cadastrar o dispositivo"""
if dispositivo_id:
dispositivo = Dispositivo.objects.get(pk=dispositivo_id)
form = FormDispositivo(instance=di... | the_stack_v2_python_sparse | detransapp/views/dispositivo.py | brunowber/transnote2 | train | 0 |
14c22047a04b3ec9cac12a21dd33cb0eec3d29f7 | [
"for event in events:\n queue.get()\n print(event)",
"events = ['operation: creating base image', 'Total: 1 packages', 'Fetched ', 'Completed ', 'operation: done creating base image', 'operation: creating developer image', 'operation: done creating developer image', 'operation: creating test image', 'operat... | <|body_start_0|>
for event in events:
queue.get()
print(event)
<|end_body_0|>
<|body_start_1|>
events = ['operation: creating base image', 'Total: 1 packages', 'Fetched ', 'Completed ', 'operation: done creating base image', 'operation: creating developer image', 'operation: don... | Test class for image_lib.BrilloImageOperation. | BrilloImageOperationTest | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BrilloImageOperationTest:
"""Test class for image_lib.BrilloImageOperation."""
def BrilloImageFake(self, events, queue):
"""Test function to emulate brillo image."""
<|body_0|>
def testParseOutputBaseImageStage(self):
"""Test Base Image Creation Stage."""
... | stack_v2_sparse_classes_75kplus_train_065703 | 14,494 | permissive | [
{
"docstring": "Test function to emulate brillo image.",
"name": "BrilloImageFake",
"signature": "def BrilloImageFake(self, events, queue)"
},
{
"docstring": "Test Base Image Creation Stage.",
"name": "testParseOutputBaseImageStage",
"signature": "def testParseOutputBaseImageStage(self)"... | 6 | stack_v2_sparse_classes_30k_train_048714 | Implement the Python class `BrilloImageOperationTest` described below.
Class description:
Test class for image_lib.BrilloImageOperation.
Method signatures and docstrings:
- def BrilloImageFake(self, events, queue): Test function to emulate brillo image.
- def testParseOutputBaseImageStage(self): Test Base Image Creat... | Implement the Python class `BrilloImageOperationTest` described below.
Class description:
Test class for image_lib.BrilloImageOperation.
Method signatures and docstrings:
- def BrilloImageFake(self, events, queue): Test function to emulate brillo image.
- def testParseOutputBaseImageStage(self): Test Base Image Creat... | e71f21b9b4b9b839f5093301974a45545dad2691 | <|skeleton|>
class BrilloImageOperationTest:
"""Test class for image_lib.BrilloImageOperation."""
def BrilloImageFake(self, events, queue):
"""Test function to emulate brillo image."""
<|body_0|>
def testParseOutputBaseImageStage(self):
"""Test Base Image Creation Stage."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BrilloImageOperationTest:
"""Test class for image_lib.BrilloImageOperation."""
def BrilloImageFake(self, events, queue):
"""Test function to emulate brillo image."""
for event in events:
queue.get()
print(event)
def testParseOutputBaseImageStage(self):
... | the_stack_v2_python_sparse | third_party/chromite/lib/image_lib_unittest.py | zenoalbisser/chromium | train | 0 |
abd3c58f36126962cba2e37147fd986969b8c24e | [
"g1 = GeoIP()\npath = settings.GEOIP_PATH\ng2 = GeoIP(path, 0)\ng3 = GeoIP.open(path, 0)\nfor g in (g1, g2, g3):\n self.assertEqual(True, bool(g._country))\n self.assertEqual(True, bool(g._city))\ncity = os.path.join(path, 'GeoLiteCity.dat')\ncntry = os.path.join(path, 'GeoIP.dat')\ng4 = GeoIP(city, country='... | <|body_start_0|>
g1 = GeoIP()
path = settings.GEOIP_PATH
g2 = GeoIP(path, 0)
g3 = GeoIP.open(path, 0)
for g in (g1, g2, g3):
self.assertEqual(True, bool(g._country))
self.assertEqual(True, bool(g._city))
city = os.path.join(path, 'GeoLiteCity.dat')... | GeoIPTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GeoIPTest:
def test01_init(self):
"""Testing GeoIP initialization."""
<|body_0|>
def test02_bad_query(self):
"""Testing GeoIP query parameter checking."""
<|body_1|>
def test03_country(self):
"""Testing GeoIP country querying methods."""
... | stack_v2_sparse_classes_75kplus_train_065704 | 4,706 | permissive | [
{
"docstring": "Testing GeoIP initialization.",
"name": "test01_init",
"signature": "def test01_init(self)"
},
{
"docstring": "Testing GeoIP query parameter checking.",
"name": "test02_bad_query",
"signature": "def test02_bad_query(self)"
},
{
"docstring": "Testing GeoIP country ... | 6 | stack_v2_sparse_classes_30k_train_028204 | Implement the Python class `GeoIPTest` described below.
Class description:
Implement the GeoIPTest class.
Method signatures and docstrings:
- def test01_init(self): Testing GeoIP initialization.
- def test02_bad_query(self): Testing GeoIP query parameter checking.
- def test03_country(self): Testing GeoIP country que... | Implement the Python class `GeoIPTest` described below.
Class description:
Implement the GeoIPTest class.
Method signatures and docstrings:
- def test01_init(self): Testing GeoIP initialization.
- def test02_bad_query(self): Testing GeoIP query parameter checking.
- def test03_country(self): Testing GeoIP country que... | fa182e8ae82f33764d5e1f70bcd45899e1bf17e6 | <|skeleton|>
class GeoIPTest:
def test01_init(self):
"""Testing GeoIP initialization."""
<|body_0|>
def test02_bad_query(self):
"""Testing GeoIP query parameter checking."""
<|body_1|>
def test03_country(self):
"""Testing GeoIP country querying methods."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GeoIPTest:
def test01_init(self):
"""Testing GeoIP initialization."""
g1 = GeoIP()
path = settings.GEOIP_PATH
g2 = GeoIP(path, 0)
g3 = GeoIP.open(path, 0)
for g in (g1, g2, g3):
self.assertEqual(True, bool(g._country))
self.assertEqual(Tr... | the_stack_v2_python_sparse | django/contrib/gis/geoip/tests.py | gregmuellegger/django | train | 22 | |
e38ac1555e6368c5013ba8e44c7063a0bc4e51d5 | [
"self.box_pgap = PT2CM(1.25 * normal_font.get_size())\nself.box_mgap = self.box_pgap / 2\nself.box_shadow = PT2CM(normal_font.get_size()) * 0.6\nself.spouse_offset = PT2CM(doc.string_width(normal_font, '0'))\nself.col_width = PT2CM(doc.string_width(normal_font, '(000,0)'))\nself.littleoffset = PT2CM(1)\nself.x_cm_c... | <|body_start_0|>
self.box_pgap = PT2CM(1.25 * normal_font.get_size())
self.box_mgap = self.box_pgap / 2
self.box_shadow = PT2CM(normal_font.get_size()) * 0.6
self.spouse_offset = PT2CM(doc.string_width(normal_font, '0'))
self.col_width = PT2CM(doc.string_width(normal_font, '(000,... | A simple class to hold various report information Calculates the gap between persons, the column width, for lines, the left hand spacing for spouses (Descendant report only) | ReportOptions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReportOptions:
"""A simple class to hold various report information Calculates the gap between persons, the column width, for lines, the left hand spacing for spouses (Descendant report only)"""
def __init__(self, doc, normal_font, normal_line):
"""initialize various report variables... | stack_v2_sparse_classes_75kplus_train_065705 | 35,846 | no_license | [
{
"docstring": "initialize various report variables that are used",
"name": "__init__",
"signature": "def __init__(self, doc, normal_font, normal_line)"
},
{
"docstring": "Scale the amounts that are needed to generate a report",
"name": "scale_everything",
"signature": "def scale_everyth... | 2 | stack_v2_sparse_classes_30k_train_009521 | Implement the Python class `ReportOptions` described below.
Class description:
A simple class to hold various report information Calculates the gap between persons, the column width, for lines, the left hand spacing for spouses (Descendant report only)
Method signatures and docstrings:
- def __init__(self, doc, norma... | Implement the Python class `ReportOptions` described below.
Class description:
A simple class to hold various report information Calculates the gap between persons, the column width, for lines, the left hand spacing for spouses (Descendant report only)
Method signatures and docstrings:
- def __init__(self, doc, norma... | 0c79561bed7ff42c88714edbc85197fa9235e188 | <|skeleton|>
class ReportOptions:
"""A simple class to hold various report information Calculates the gap between persons, the column width, for lines, the left hand spacing for spouses (Descendant report only)"""
def __init__(self, doc, normal_font, normal_line):
"""initialize various report variables... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReportOptions:
"""A simple class to hold various report information Calculates the gap between persons, the column width, for lines, the left hand spacing for spouses (Descendant report only)"""
def __init__(self, doc, normal_font, normal_line):
"""initialize various report variables that are use... | the_stack_v2_python_sparse | plugins/lib/libtreebase.py | balrok/gramps_addon | train | 2 |
cc042f5895b5497943cc2cb4b3933ba4675477cf | [
"super(Obstacle, self).__init__(*groups)\nself.ani = SpritesheetAnimation(0.5, preloaded_ani)\nself.image = self.ani.next(0)\nself.rect = self.image.get_rect()\nself.rect.x, self.rect.y = location\nself.speed = spd\n'\\n if vertical:\\n self.xspeed = 0\\n self.yspeed = spd\\n els... | <|body_start_0|>
super(Obstacle, self).__init__(*groups)
self.ani = SpritesheetAnimation(0.5, preloaded_ani)
self.image = self.ani.next(0)
self.rect = self.image.get_rect()
self.rect.x, self.rect.y = location
self.speed = spd
'\n if vertical:\n s... | Represents a mobile enemy that kills the player on touch | Obstacle | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Obstacle:
"""Represents a mobile enemy that kills the player on touch"""
def __init__(self, location, vertical, spd, image, *groups, preloaded_ani):
"""Default constructor Keyword Arguments: - location: A 2-tuple (x,y) representing the item location - vertical: Boolean representing i... | stack_v2_sparse_classes_75kplus_train_065706 | 3,008 | permissive | [
{
"docstring": "Default constructor Keyword Arguments: - location: A 2-tuple (x,y) representing the item location - vertical: Boolean representing if the item moves vertically - spd: The movement speed - image: A surface representing the image of the item - *groups: A collection of sprite groups to add the item... | 2 | null | Implement the Python class `Obstacle` described below.
Class description:
Represents a mobile enemy that kills the player on touch
Method signatures and docstrings:
- def __init__(self, location, vertical, spd, image, *groups, preloaded_ani): Default constructor Keyword Arguments: - location: A 2-tuple (x,y) represen... | Implement the Python class `Obstacle` described below.
Class description:
Represents a mobile enemy that kills the player on touch
Method signatures and docstrings:
- def __init__(self, location, vertical, spd, image, *groups, preloaded_ani): Default constructor Keyword Arguments: - location: A 2-tuple (x,y) represen... | 0363fc368af205d1e829b2556ad70797930c10bd | <|skeleton|>
class Obstacle:
"""Represents a mobile enemy that kills the player on touch"""
def __init__(self, location, vertical, spd, image, *groups, preloaded_ani):
"""Default constructor Keyword Arguments: - location: A 2-tuple (x,y) representing the item location - vertical: Boolean representing i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Obstacle:
"""Represents a mobile enemy that kills the player on touch"""
def __init__(self, location, vertical, spd, image, *groups, preloaded_ani):
"""Default constructor Keyword Arguments: - location: A 2-tuple (x,y) representing the item location - vertical: Boolean representing if the item mo... | the_stack_v2_python_sparse | Game/components/mobileobstacle.py | Penaz91/Glitch_Heaven | train | 2 |
db850dce1434fbda4029a0abd7125d55d2935a6e | [
"def _isValidBST(root, minNode, maxNode):\n if not root:\n return True\n if minNode and root.val <= minNode.val or (maxNode and root.val >= maxNode.val):\n return False\n return _isValidBST(root.left, minNode, root) and _isValidBST(root.right, root, maxNode)\nreturn _isValidBST(root, None, No... | <|body_start_0|>
def _isValidBST(root, minNode, maxNode):
if not root:
return True
if minNode and root.val <= minNode.val or (maxNode and root.val >= maxNode.val):
return False
return _isValidBST(root.left, minNode, root) and _isValidBST(root.r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isValidBST1(self, root: TreeNode) -> bool:
"""递归 ~~左树存在一个上界，右树存在一个下界~~ 每个节点都存在一个上下界 空间复杂度：O(lgn)~O(n) 时间复杂度：O(n) :param root: :return:"""
<|body_0|>
def isValidBST2(self, root: TreeNode) -> bool:
"""中序遍历，如果非严格递增则return False 空间复杂度：O(n) 时间复杂度：O(n) :param... | stack_v2_sparse_classes_75kplus_train_065707 | 1,685 | no_license | [
{
"docstring": "递归 ~~左树存在一个上界，右树存在一个下界~~ 每个节点都存在一个上下界 空间复杂度：O(lgn)~O(n) 时间复杂度：O(n) :param root: :return:",
"name": "isValidBST1",
"signature": "def isValidBST1(self, root: TreeNode) -> bool"
},
{
"docstring": "中序遍历，如果非严格递增则return False 空间复杂度：O(n) 时间复杂度：O(n) :param root: :return:",
"name": "i... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST1(self, root: TreeNode) -> bool: 递归 ~~左树存在一个上界，右树存在一个下界~~ 每个节点都存在一个上下界 空间复杂度：O(lgn)~O(n) 时间复杂度：O(n) :param root: :return:
- def isValidBST2(self, root: TreeNode) ->... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST1(self, root: TreeNode) -> bool: 递归 ~~左树存在一个上界，右树存在一个下界~~ 每个节点都存在一个上下界 空间复杂度：O(lgn)~O(n) 时间复杂度：O(n) :param root: :return:
- def isValidBST2(self, root: TreeNode) ->... | 25f2795b6e7f9f68833f2fddc6cc4f4d977121a6 | <|skeleton|>
class Solution:
def isValidBST1(self, root: TreeNode) -> bool:
"""递归 ~~左树存在一个上界，右树存在一个下界~~ 每个节点都存在一个上下界 空间复杂度：O(lgn)~O(n) 时间复杂度：O(n) :param root: :return:"""
<|body_0|>
def isValidBST2(self, root: TreeNode) -> bool:
"""中序遍历，如果非严格递增则return False 空间复杂度：O(n) 时间复杂度：O(n) :param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isValidBST1(self, root: TreeNode) -> bool:
"""递归 ~~左树存在一个上界，右树存在一个下界~~ 每个节点都存在一个上下界 空间复杂度：O(lgn)~O(n) 时间复杂度：O(n) :param root: :return:"""
def _isValidBST(root, minNode, maxNode):
if not root:
return True
if minNode and root.val <= minNode.v... | the_stack_v2_python_sparse | 98.py | Darkxiete/leetcode_python | train | 0 | |
1fa29a1c7b0f32a23a98940da7bc7c58fc5a0ab6 | [
"def build(nums, current):\n if not nums:\n output.append(list(current))\n return\n for i, n in enumerate(nums):\n current.append(n)\n build(nums[:i] + nums[i + 1:], current)\n current.pop()\noutput = []\nbuild(nums, [])\nreturn output",
"output = [[]]\nfor n in nums:\n ... | <|body_start_0|>
def build(nums, current):
if not nums:
output.append(list(current))
return
for i, n in enumerate(nums):
current.append(n)
build(nums[:i] + nums[i + 1:], current)
current.pop()
output ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def permute(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def permute_iterative(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
def permute_recursive(self, nums):
""":type nums: ... | stack_v2_sparse_classes_75kplus_train_065708 | 2,697 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "permute",
"signature": "def permute(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "permute_iterative",
"signature": "def permute_iterative(self, nums)"
},
{
"docstri... | 4 | stack_v2_sparse_classes_30k_train_024368 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def permute_iterative(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def permute_recursive(... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def permute_iterative(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def permute_recursive(... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def permute(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def permute_iterative(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
def permute_recursive(self, nums):
""":type nums: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def permute(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
def build(nums, current):
if not nums:
output.append(list(current))
return
for i, n in enumerate(nums):
current.append(n)
... | the_stack_v2_python_sparse | src/lt_46.py | oxhead/CodingYourWay | train | 0 | |
94ea513c1ef7d351589fd2502b6663ef99d5abe9 | [
"if self.context:\n return '{0} ({1})'.format(self.text, self.context.name)\nreturn self.text",
"events = session.happened.all()\nrequirement = self.requirements.exclude(event__in=events).first()\nif requirement:\n output = requirement.fail\nelif self.once and self in session.executed.all():\n output = '... | <|body_start_0|>
if self.context:
return '{0} ({1})'.format(self.text, self.context.name)
return self.text
<|end_body_0|>
<|body_start_1|>
events = session.happened.all()
requirement = self.requirements.exclude(event__in=events).first()
if requirement:
ou... | Players action. | Command | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""Players action."""
def __str__(self):
"""Mainly for editor. Returns: string"""
<|body_0|>
def execute(self, session):
"""Execute a command specified by player. Args: session: Session instance Returns: text about results of execution"""
<|body_... | stack_v2_sparse_classes_75kplus_train_065709 | 2,282 | no_license | [
{
"docstring": "Mainly for editor. Returns: string",
"name": "__str__",
"signature": "def __str__(self)"
},
{
"docstring": "Execute a command specified by player. Args: session: Session instance Returns: text about results of execution",
"name": "execute",
"signature": "def execute(self,... | 2 | null | Implement the Python class `Command` described below.
Class description:
Players action.
Method signatures and docstrings:
- def __str__(self): Mainly for editor. Returns: string
- def execute(self, session): Execute a command specified by player. Args: session: Session instance Returns: text about results of executi... | Implement the Python class `Command` described below.
Class description:
Players action.
Method signatures and docstrings:
- def __str__(self): Mainly for editor. Returns: string
- def execute(self, session): Execute a command specified by player. Args: session: Session instance Returns: text about results of executi... | 6633c4ed55b8d893941571f94b46636f2e46e0f9 | <|skeleton|>
class Command:
"""Players action."""
def __str__(self):
"""Mainly for editor. Returns: string"""
<|body_0|>
def execute(self, session):
"""Execute a command specified by player. Args: session: Session instance Returns: text about results of execution"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Command:
"""Players action."""
def __str__(self):
"""Mainly for editor. Returns: string"""
if self.context:
return '{0} ({1})'.format(self.text, self.context.name)
return self.text
def execute(self, session):
"""Execute a command specified by player. Args:... | the_stack_v2_python_sparse | command/models.py | Reno-Greenleaf/interactive_story | train | 0 |
edfbe6b6ab689aa7951ba75ad55bd8fd474d8711 | [
"ans = nums[0]\nlength = len(nums)\nif len(nums) == 1:\n return nums[0]\nsum1 = nums[0]\nfor i in range(1, length):\n if nums[i - 1] >= 0:\n nums[i] += nums[i - 1]\n if ans < nums[i]:\n ans = nums[i]\nreturn nums",
"ans = nums[0]\nlength = len(nums)\nleft = 0\nright = 0\nresleft = 0\nresrig... | <|body_start_0|>
ans = nums[0]
length = len(nums)
if len(nums) == 1:
return nums[0]
sum1 = nums[0]
for i in range(1, length):
if nums[i - 1] >= 0:
nums[i] += nums[i - 1]
if ans < nums[i]:
ans = nums[i]
re... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray(self, nums):
"""这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1] :param nums: :return:"""
<|body_0|>
def maxSubArray2(self, nums):
"""这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1]找出其序列 :param nums: :return:"""
<|body_1|>
<|end_skeleton|>
<|bo... | stack_v2_sparse_classes_75kplus_train_065710 | 1,353 | no_license | [
{
"docstring": "这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1] :param nums: :return:",
"name": "maxSubArray",
"signature": "def maxSubArray(self, nums)"
},
{
"docstring": "这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1]找出其序列 :param nums: :return:",
"name": "maxSubArray2",
"signature": "def maxSubAr... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(self, nums): 这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1] :param nums: :return:
- def maxSubArray2(self, nums): 这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1]找出其序列 :param... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(self, nums): 这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1] :param nums: :return:
- def maxSubArray2(self, nums): 这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1]找出其序列 :param... | d8ad2da776066ac3fd99f246cb2b41a921c21a73 | <|skeleton|>
class Solution:
def maxSubArray(self, nums):
"""这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1] :param nums: :return:"""
<|body_0|>
def maxSubArray2(self, nums):
"""这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1]找出其序列 :param nums: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxSubArray(self, nums):
"""这种方法用的是动态规划，主要参考值不能是nums[i] 而应该是nums[i-1] :param nums: :return:"""
ans = nums[0]
length = len(nums)
if len(nums) == 1:
return nums[0]
sum1 = nums[0]
for i in range(1, length):
if nums[i - 1] >= 0:... | the_stack_v2_python_sparse | Python/LeetCode/LeetCode53maxSubArray.py | 540928898/LeetCodeMe | train | 0 | |
8fc54190a636f5f51631eed96cf4ed1e74d5792e | [
"try:\n return int(re.match('[0-9]+', str(v)).group())\nexcept:\n return None",
"b = AuditUtil.regex_match_digits(b)\nif b:\n return b / 1024 / 1024\nreturn None",
"k = AuditUtil.regex_match_digits(k)\nif k:\n return k / 1024\nreturn None"
] | <|body_start_0|>
try:
return int(re.match('[0-9]+', str(v)).group())
except:
return None
<|end_body_0|>
<|body_start_1|>
b = AuditUtil.regex_match_digits(b)
if b:
return b / 1024 / 1024
return None
<|end_body_1|>
<|body_start_2|>
k = ... | Contains helper methods for normalization of node audit data. | AuditUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuditUtil:
"""Contains helper methods for normalization of node audit data."""
def regex_match_digits(v):
"""Extract the digits from an alphanumeric string. Parameters ---------- v : basestring alphanumeric input e.g. '1024kB' Returns ------- int the extracted numeric digits, or None... | stack_v2_sparse_classes_75kplus_train_065711 | 10,487 | no_license | [
{
"docstring": "Extract the digits from an alphanumeric string. Parameters ---------- v : basestring alphanumeric input e.g. '1024kB' Returns ------- int the extracted numeric digits, or None",
"name": "regex_match_digits",
"signature": "def regex_match_digits(v)"
},
{
"docstring": "Converts byt... | 3 | null | Implement the Python class `AuditUtil` described below.
Class description:
Contains helper methods for normalization of node audit data.
Method signatures and docstrings:
- def regex_match_digits(v): Extract the digits from an alphanumeric string. Parameters ---------- v : basestring alphanumeric input e.g. '1024kB' ... | Implement the Python class `AuditUtil` described below.
Class description:
Contains helper methods for normalization of node audit data.
Method signatures and docstrings:
- def regex_match_digits(v): Extract the digits from an alphanumeric string. Parameters ---------- v : basestring alphanumeric input e.g. '1024kB' ... | f855bd449bf09240151ddc7b6ded3673bd92e2d6 | <|skeleton|>
class AuditUtil:
"""Contains helper methods for normalization of node audit data."""
def regex_match_digits(v):
"""Extract the digits from an alphanumeric string. Parameters ---------- v : basestring alphanumeric input e.g. '1024kB' Returns ------- int the extracted numeric digits, or None... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuditUtil:
"""Contains helper methods for normalization of node audit data."""
def regex_match_digits(v):
"""Extract the digits from an alphanumeric string. Parameters ---------- v : basestring alphanumeric input e.g. '1024kB' Returns ------- int the extracted numeric digits, or None"""
t... | the_stack_v2_python_sparse | connectors/chef.py | Oomnitza/oomnitza-connector | train | 21 |
4af4026b5d14414378628687e31adb1d9150f501 | [
"left, right = (0, len(nums) - 1)\nwhile left <= right:\n mid = left + (right - left) // 2\n if nums[mid] == target:\n return True\n elif nums[mid] > target:\n right = mid - 1\n else:\n left = mid + 1\nreturn False",
"nums = []\nfor mtx in matrix:\n nums.extend(mtx)\nreturn sel... | <|body_start_0|>
left, right = (0, len(nums) - 1)
while left <= right:
mid = left + (right - left) // 2
if nums[mid] == target:
return True
elif nums[mid] > target:
right = mid - 1
else:
left = mid + 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def binary_search(self, nums, target):
"""二分查找 :param nums: :return:"""
<|body_0|>
def searchMatrix(self, matrix, target):
""":type matrix: List[List[int]] :type target: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
left... | stack_v2_sparse_classes_75kplus_train_065712 | 1,434 | no_license | [
{
"docstring": "二分查找 :param nums: :return:",
"name": "binary_search",
"signature": "def binary_search(self, nums, target)"
},
{
"docstring": ":type matrix: List[List[int]] :type target: int :rtype: bool",
"name": "searchMatrix",
"signature": "def searchMatrix(self, matrix, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015027 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def binary_search(self, nums, target): 二分查找 :param nums: :return:
- def searchMatrix(self, matrix, target): :type matrix: List[List[int]] :type target: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def binary_search(self, nums, target): 二分查找 :param nums: :return:
- def searchMatrix(self, matrix, target): :type matrix: List[List[int]] :type target: int :rtype: bool
<|skelet... | f564806bd8e18831eeb20f2fd4bdd2d4aaa829ce | <|skeleton|>
class Solution:
def binary_search(self, nums, target):
"""二分查找 :param nums: :return:"""
<|body_0|>
def searchMatrix(self, matrix, target):
""":type matrix: List[List[int]] :type target: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def binary_search(self, nums, target):
"""二分查找 :param nums: :return:"""
left, right = (0, len(nums) - 1)
while left <= right:
mid = left + (right - left) // 2
if nums[mid] == target:
return True
elif nums[mid] > target:
... | the_stack_v2_python_sparse | Week 03/id_684/LeetCode_74_684.py | cboopen/algorithm004-04 | train | 2 | |
12b648353c300bfc08a9c48bcb92840c713a56e8 | [
"super().__init__()\nself.node = node\nself.field = field\nself.titleCellRef = titleCellRef\nself.typeCellRef = typeCellRef\nself.idCellRef = idCellRef\nself.errorFlag = False\nself.doc = QtGui.QTextDocument()\nself.doc.setDefaultFont(defaultFont)\nself.doc.setDocumentMargin(6)\nself.updateText()",
"self.errorFla... | <|body_start_0|>
super().__init__()
self.node = node
self.field = field
self.titleCellRef = titleCellRef
self.typeCellRef = typeCellRef
self.idCellRef = idCellRef
self.errorFlag = False
self.doc = QtGui.QTextDocument()
self.doc.setDefaultFont(defau... | Class override for data edit view cells. Used for the cells with editable content. | DataEditCell | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataEditCell:
"""Class override for data edit view cells. Used for the cells with editable content."""
def __init__(self, node, field, titleCellRef, typeCellRef, idCellRef=None):
"""Initialize the editable cells in the data edit view. Arguments: node -- the node referenced by this ce... | stack_v2_sparse_classes_75kplus_train_065713 | 30,573 | no_license | [
{
"docstring": "Initialize the editable cells in the data edit view. Arguments: node -- the node referenced by this cell field -- the field object referenced by this cell titleCellRef -- the title cell to update based on data changes typeCellRef -- the format type cell to update based on type changes idCellRef ... | 2 | stack_v2_sparse_classes_30k_train_003924 | Implement the Python class `DataEditCell` described below.
Class description:
Class override for data edit view cells. Used for the cells with editable content.
Method signatures and docstrings:
- def __init__(self, node, field, titleCellRef, typeCellRef, idCellRef=None): Initialize the editable cells in the data edi... | Implement the Python class `DataEditCell` described below.
Class description:
Class override for data edit view cells. Used for the cells with editable content.
Method signatures and docstrings:
- def __init__(self, node, field, titleCellRef, typeCellRef, idCellRef=None): Initialize the editable cells in the data edi... | 5d818d85e87b1780e760b0dd023861daa6e9181a | <|skeleton|>
class DataEditCell:
"""Class override for data edit view cells. Used for the cells with editable content."""
def __init__(self, node, field, titleCellRef, typeCellRef, idCellRef=None):
"""Initialize the editable cells in the data edit view. Arguments: node -- the node referenced by this ce... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataEditCell:
"""Class override for data edit view cells. Used for the cells with editable content."""
def __init__(self, node, field, titleCellRef, typeCellRef, idCellRef=None):
"""Initialize the editable cells in the data edit view. Arguments: node -- the node referenced by this cell field -- t... | the_stack_v2_python_sparse | TreeLine/source/dataeditview.py | priendeau/Treeline-encryption | train | 0 |
3ac608bfd94df299e5db69490b343ffb65b62e61 | [
"dp = [float('inf')] * (n + 1)\ndp[0] = 0\nfor i in range(1, n + 1):\n for j in range(1, int(i ** 0.5) + 1):\n dp[i] = min(dp[i], dp[i - j * j] + 1)\nreturn dp[n]",
"queue = [node(n)]\nvisited = set([node(n).value])\nwhile queue:\n vertex = queue.pop(0)\n residuals = [vertex.value - n * n for n in... | <|body_start_0|>
dp = [float('inf')] * (n + 1)
dp[0] = 0
for i in range(1, n + 1):
for j in range(1, int(i ** 0.5) + 1):
dp[i] = min(dp[i], dp[i - j * j] + 1)
return dp[n]
<|end_body_0|>
<|body_start_1|>
queue = [node(n)]
visited = set([node(n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSquares_dp(self, n):
""":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1"""
<|body_0|>
def numSquares_bfs(self, n):
""":type n: int :rtype: int BFS 其实是很简单的基础算法，抓住如下几点即可轻松写出不易错的 baseline: BF... | stack_v2_sparse_classes_75kplus_train_065714 | 2,613 | no_license | [
{
"docstring": ":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1",
"name": "numSquares_dp",
"signature": "def numSquares_dp(self, n)"
},
{
"docstring": ":type n: int :rtype: int BFS 其实是很简单的基础算法，抓住如下几点即可轻松写出不易错的 baseline: BFS 算法组成的 3 元素... | 2 | stack_v2_sparse_classes_30k_train_052206 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares_dp(self, n): :type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1
- def numSquares_bfs(self, n): :type n: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares_dp(self, n): :type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1
- def numSquares_bfs(self, n): :type n: ... | 3f4284330f9771037ca59e2e6a94122e51e58540 | <|skeleton|>
class Solution:
def numSquares_dp(self, n):
""":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1"""
<|body_0|>
def numSquares_bfs(self, n):
""":type n: int :rtype: int BFS 其实是很简单的基础算法，抓住如下几点即可轻松写出不易错的 baseline: BF... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numSquares_dp(self, n):
""":type n: int :rtype: int dp[i]代表到数字i组成最少完全平方个数 动态转移方程：dp[i] = min(dp[i], dp[i - j * j] + 1), j <= sqrt{i} + 1"""
dp = [float('inf')] * (n + 1)
dp[0] = 0
for i in range(1, n + 1):
for j in range(1, int(i ** 0.5) + 1):
... | the_stack_v2_python_sparse | Leetcode/279.完全平方数.py | myf-algorithm/Leetcode | train | 1 | |
ae1a6bcfaf6dbd3b67fb56ef61fa3da33ad7db40 | [
"super().__init__(models)\nif y_best is not None:\n self.y_best = y_best\nelse:\n self.y_best = self.models[0].y.max()",
"m, n = (self.n_models, X.shape[0])\nmeans, sds, gammas = (np.zeros((m, n)), np.zeros((m, n)), np.zeros((m, n)))\nfor i, mod in enumerate(self.models):\n means[i], var = mod.predict(X,... | <|body_start_0|>
super().__init__(models)
if y_best is not None:
self.y_best = y_best
else:
self.y_best = self.models[0].y.max()
<|end_body_0|>
<|body_start_1|>
m, n = (self.n_models, X.shape[0])
means, sds, gammas = (np.zeros((m, n)), np.zeros((m, n)), n... | Improvement-Based Acquisition Function Class Common acquisition function can be interpreted as improvements over the best seen observation so far. In particular, Thor implements the probability of improvement and expected improvement acquisition function, which measures the probability that an input will result in an i... | ImprovementAcquisitionFunction | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImprovementAcquisitionFunction:
"""Improvement-Based Acquisition Function Class Common acquisition function can be interpreted as improvements over the best seen observation so far. In particular, Thor implements the probability of improvement and expected improvement acquisition function, which ... | stack_v2_sparse_classes_75kplus_train_065715 | 3,387 | permissive | [
{
"docstring": "Initialize parameters of the improvement-based acquisition function.",
"name": "__init__",
"signature": "def __init__(self, models, y_best=None)"
},
{
"docstring": "Compute a z-score quantity for the prediction at a given input. This allows us to balance improvement over the curr... | 2 | stack_v2_sparse_classes_30k_train_046170 | Implement the Python class `ImprovementAcquisitionFunction` described below.
Class description:
Improvement-Based Acquisition Function Class Common acquisition function can be interpreted as improvements over the best seen observation so far. In particular, Thor implements the probability of improvement and expected i... | Implement the Python class `ImprovementAcquisitionFunction` described below.
Class description:
Improvement-Based Acquisition Function Class Common acquisition function can be interpreted as improvements over the best seen observation so far. In particular, Thor implements the probability of improvement and expected i... | cb63d6dd476eba7dfe701643dc21694089ed881b | <|skeleton|>
class ImprovementAcquisitionFunction:
"""Improvement-Based Acquisition Function Class Common acquisition function can be interpreted as improvements over the best seen observation so far. In particular, Thor implements the probability of improvement and expected improvement acquisition function, which ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImprovementAcquisitionFunction:
"""Improvement-Based Acquisition Function Class Common acquisition function can be interpreted as improvements over the best seen observation so far. In particular, Thor implements the probability of improvement and expected improvement acquisition function, which measures the ... | the_stack_v2_python_sparse | sif/acquisitions/improvement_acquisition.py | afcarl/Sif-1 | train | 0 |
e2836bb170d2c5542e59a996e007076ced1df078 | [
"self.resource = resource\nself.operation = operation\nself.body = body",
"if dictionary is None:\n return None\nresource = dictionary.get('resource')\noperation = dictionary.get('operation')\nbody = dictionary.get('body')\nreturn cls(resource, operation, body)"
] | <|body_start_0|>
self.resource = resource
self.operation = operation
self.body = body
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
resource = dictionary.get('resource')
operation = dictionary.get('operation')
body = dictionary.ge... | Implementation of the 'Action' model. TODO: type model description here. Attributes: resource (string): Unique identifier for the resource to be acted on operation (string): The operation to be used body (object): The body of the action | ActionModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActionModel:
"""Implementation of the 'Action' model. TODO: type model description here. Attributes: resource (string): Unique identifier for the resource to be acted on operation (string): The operation to be used body (object): The body of the action"""
def __init__(self, resource=None, op... | stack_v2_sparse_classes_75kplus_train_065716 | 1,855 | permissive | [
{
"docstring": "Constructor for the ActionModel class",
"name": "__init__",
"signature": "def __init__(self, resource=None, operation=None, body=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the object ... | 2 | stack_v2_sparse_classes_30k_train_038466 | Implement the Python class `ActionModel` described below.
Class description:
Implementation of the 'Action' model. TODO: type model description here. Attributes: resource (string): Unique identifier for the resource to be acted on operation (string): The operation to be used body (object): The body of the action
Meth... | Implement the Python class `ActionModel` described below.
Class description:
Implementation of the 'Action' model. TODO: type model description here. Attributes: resource (string): Unique identifier for the resource to be acted on operation (string): The operation to be used body (object): The body of the action
Meth... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class ActionModel:
"""Implementation of the 'Action' model. TODO: type model description here. Attributes: resource (string): Unique identifier for the resource to be acted on operation (string): The operation to be used body (object): The body of the action"""
def __init__(self, resource=None, op... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ActionModel:
"""Implementation of the 'Action' model. TODO: type model description here. Attributes: resource (string): Unique identifier for the resource to be acted on operation (string): The operation to be used body (object): The body of the action"""
def __init__(self, resource=None, operation=None,... | the_stack_v2_python_sparse | meraki_sdk/models/action_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
eb741835f9be1c52d54f8f1a0abe90e43b480d39 | [
"tf.enable_eager_execution()\nif not isinstance(style_image, np.ndarray) or len(style_image.shape) != 3 or style_image.shape[2] != 3:\n raise TypeError('style_image must be a numpy.ndarray with shape (h, w, 3)')\nif not isinstance(content_image, np.ndarray) or len(content_image.shape) != 3 or content_image.shape... | <|body_start_0|>
tf.enable_eager_execution()
if not isinstance(style_image, np.ndarray) or len(style_image.shape) != 3 or style_image.shape[2] != 3:
raise TypeError('style_image must be a numpy.ndarray with shape (h, w, 3)')
if not isinstance(content_image, np.ndarray) or len(content... | A class including model designed to do style transfer between two images | NST | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NST:
"""A class including model designed to do style transfer between two images"""
def __init__(self, style_image, content_image, alpha=10000.0, beta=1):
"""Initialize the class. @style_image: image for style to mimic @content_image: image we're modifying to match style @alpha: lear... | stack_v2_sparse_classes_75kplus_train_065717 | 2,225 | no_license | [
{
"docstring": "Initialize the class. @style_image: image for style to mimic @content_image: image we're modifying to match style @alpha: learning rate for content @beta: learning rate for style",
"name": "__init__",
"signature": "def __init__(self, style_image, content_image, alpha=10000.0, beta=1)"
... | 2 | stack_v2_sparse_classes_30k_train_053714 | Implement the Python class `NST` described below.
Class description:
A class including model designed to do style transfer between two images
Method signatures and docstrings:
- def __init__(self, style_image, content_image, alpha=10000.0, beta=1): Initialize the class. @style_image: image for style to mimic @content... | Implement the Python class `NST` described below.
Class description:
A class including model designed to do style transfer between two images
Method signatures and docstrings:
- def __init__(self, style_image, content_image, alpha=10000.0, beta=1): Initialize the class. @style_image: image for style to mimic @content... | 56356c56297d8391bad8a1607eb226489766bc63 | <|skeleton|>
class NST:
"""A class including model designed to do style transfer between two images"""
def __init__(self, style_image, content_image, alpha=10000.0, beta=1):
"""Initialize the class. @style_image: image for style to mimic @content_image: image we're modifying to match style @alpha: lear... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NST:
"""A class including model designed to do style transfer between two images"""
def __init__(self, style_image, content_image, alpha=10000.0, beta=1):
"""Initialize the class. @style_image: image for style to mimic @content_image: image we're modifying to match style @alpha: learning rate for... | the_stack_v2_python_sparse | supervised_learning/0x0C-neural_style_transfer/0-neural_style.py | sidneyriffic/holbertonschool-machine_learning | train | 1 |
0b0c1e8a86731cba2b2a2f1bbf78b24f0e618973 | [
"env_id = requests.GET.get('env_id')\nenv = Environment.objects.get(env_id=env_id)\ncontent = {'env': env, 'projrcts': Project.objects.all()}\nreturn render(requests, 'project_env/env_update.html', content)",
"env_id = requests.GET.get('env_id')\nenv_info = Environment.objects.filter(env_id=env_id)\nenv_url = req... | <|body_start_0|>
env_id = requests.GET.get('env_id')
env = Environment.objects.get(env_id=env_id)
content = {'env': env, 'projrcts': Project.objects.all()}
return render(requests, 'project_env/env_update.html', content)
<|end_body_0|>
<|body_start_1|>
env_id = requests.GET.get('... | update_env | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class update_env:
def get(self, requests):
"""获取编辑页面"""
<|body_0|>
def post(self, requests):
"""进行编辑接口操作"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
env_id = requests.GET.get('env_id')
env = Environment.objects.get(env_id=env_id)
conte... | stack_v2_sparse_classes_75kplus_train_065718 | 10,476 | no_license | [
{
"docstring": "获取编辑页面",
"name": "get",
"signature": "def get(self, requests)"
},
{
"docstring": "进行编辑接口操作",
"name": "post",
"signature": "def post(self, requests)"
}
] | 2 | stack_v2_sparse_classes_30k_train_033169 | Implement the Python class `update_env` described below.
Class description:
Implement the update_env class.
Method signatures and docstrings:
- def get(self, requests): 获取编辑页面
- def post(self, requests): 进行编辑接口操作 | Implement the Python class `update_env` described below.
Class description:
Implement the update_env class.
Method signatures and docstrings:
- def get(self, requests): 获取编辑页面
- def post(self, requests): 进行编辑接口操作
<|skeleton|>
class update_env:
def get(self, requests):
"""获取编辑页面"""
<|body_0|>
... | c26d8a49bdcc309cca377639a72c67d5ff06b67e | <|skeleton|>
class update_env:
def get(self, requests):
"""获取编辑页面"""
<|body_0|>
def post(self, requests):
"""进行编辑接口操作"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class update_env:
def get(self, requests):
"""获取编辑页面"""
env_id = requests.GET.get('env_id')
env = Environment.objects.get(env_id=env_id)
content = {'env': env, 'projrcts': Project.objects.all()}
return render(requests, 'project_env/env_update.html', content)
def post(sel... | the_stack_v2_python_sparse | apps/project_env/views.py | wanyafei/AutoTestform | train | 1 | |
81d9751b6730413d8536bab2e33e8aedf599c535 | [
"row = 3\nglobal cookies\ncookies = cookies\nurl = self.obj.get_value(row, self.obj.get_host()) + self.obj.get_value(row, self.obj.get_urlxpath())\ndata = eval(self.obj.get_value(row, self.obj.get_params()))\nobj = requests.request(method=self.obj.get_value(row, self.obj.get_method()), url=url, data=data, cookies=c... | <|body_start_0|>
row = 3
global cookies
cookies = cookies
url = self.obj.get_value(row, self.obj.get_host()) + self.obj.get_value(row, self.obj.get_urlxpath())
data = eval(self.obj.get_value(row, self.obj.get_params()))
obj = requests.request(method=self.obj.get_value(row... | Testalterpwd | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Testalterpwd:
def test_case1(self):
"""设置支付密码失败,密码不一致"""
<|body_0|>
def test_case2(self):
"""设置支付密码失败,请输入新密码"""
<|body_1|>
def test_case3(self):
"""设置支付密码失败,请确认新密码"""
<|body_2|>
def test_case4(self):
"""设置支付密码失败,请输入新密码"""
... | stack_v2_sparse_classes_75kplus_train_065719 | 3,539 | no_license | [
{
"docstring": "设置支付密码失败,密码不一致",
"name": "test_case1",
"signature": "def test_case1(self)"
},
{
"docstring": "设置支付密码失败,请输入新密码",
"name": "test_case2",
"signature": "def test_case2(self)"
},
{
"docstring": "设置支付密码失败,请确认新密码",
"name": "test_case3",
"signature": "def test_case... | 5 | stack_v2_sparse_classes_30k_train_004424 | Implement the Python class `Testalterpwd` described below.
Class description:
Implement the Testalterpwd class.
Method signatures and docstrings:
- def test_case1(self): 设置支付密码失败,密码不一致
- def test_case2(self): 设置支付密码失败,请输入新密码
- def test_case3(self): 设置支付密码失败,请确认新密码
- def test_case4(self): 设置支付密码失败,请输入新密码
- def test_ca... | Implement the Python class `Testalterpwd` described below.
Class description:
Implement the Testalterpwd class.
Method signatures and docstrings:
- def test_case1(self): 设置支付密码失败,密码不一致
- def test_case2(self): 设置支付密码失败,请输入新密码
- def test_case3(self): 设置支付密码失败,请确认新密码
- def test_case4(self): 设置支付密码失败,请输入新密码
- def test_ca... | f073c1539c4e77fbf093b2fe6b5de6a1c3727e47 | <|skeleton|>
class Testalterpwd:
def test_case1(self):
"""设置支付密码失败,密码不一致"""
<|body_0|>
def test_case2(self):
"""设置支付密码失败,请输入新密码"""
<|body_1|>
def test_case3(self):
"""设置支付密码失败,请确认新密码"""
<|body_2|>
def test_case4(self):
"""设置支付密码失败,请输入新密码"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Testalterpwd:
def test_case1(self):
"""设置支付密码失败,密码不一致"""
row = 3
global cookies
cookies = cookies
url = self.obj.get_value(row, self.obj.get_host()) + self.obj.get_value(row, self.obj.get_urlxpath())
data = eval(self.obj.get_value(row, self.obj.get_params()))
... | the_stack_v2_python_sparse | Project/test_res/test_alterpwd.py | xiaotiankeyi/portTest | train | 0 | |
8d8cbc2d7d526ef646f3a236d44f9af1bd7ead27 | [
"self.window_size = window_size\nself.history_size = history_size\nself.msgs = dict()\nself.history = [[] for _ in range(history_size)]",
"mid: Tuple[bytes, bytes] = (msg.seqno, msg.from_id)\nself.msgs[mid] = msg\nself.history[0].append(CacheEntry(mid, msg.topicIDs))",
"if mid in self.msgs:\n return self.msg... | <|body_start_0|>
self.window_size = window_size
self.history_size = history_size
self.msgs = dict()
self.history = [[] for _ in range(history_size)]
<|end_body_0|>
<|body_start_1|>
mid: Tuple[bytes, bytes] = (msg.seqno, msg.from_id)
self.msgs[mid] = msg
self.hist... | MessageCache | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MessageCache:
def __init__(self, window_size: int, history_size: int) -> None:
"""Constructor. :param window_size: Size of the window desired. :param history_size: Size of the history desired. :return: the MessageCache"""
<|body_0|>
def put(self, msg: rpc_pb2.Message) -> Non... | stack_v2_sparse_classes_75kplus_train_065720 | 2,953 | permissive | [
{
"docstring": "Constructor. :param window_size: Size of the window desired. :param history_size: Size of the history desired. :return: the MessageCache",
"name": "__init__",
"signature": "def __init__(self, window_size: int, history_size: int) -> None"
},
{
"docstring": "Put a message into the ... | 5 | stack_v2_sparse_classes_30k_train_021921 | Implement the Python class `MessageCache` described below.
Class description:
Implement the MessageCache class.
Method signatures and docstrings:
- def __init__(self, window_size: int, history_size: int) -> None: Constructor. :param window_size: Size of the window desired. :param history_size: Size of the history des... | Implement the Python class `MessageCache` described below.
Class description:
Implement the MessageCache class.
Method signatures and docstrings:
- def __init__(self, window_size: int, history_size: int) -> None: Constructor. :param window_size: Size of the window desired. :param history_size: Size of the history des... | b38b36862f44421aec998e438b668cff265de75c | <|skeleton|>
class MessageCache:
def __init__(self, window_size: int, history_size: int) -> None:
"""Constructor. :param window_size: Size of the window desired. :param history_size: Size of the history desired. :return: the MessageCache"""
<|body_0|>
def put(self, msg: rpc_pb2.Message) -> Non... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MessageCache:
def __init__(self, window_size: int, history_size: int) -> None:
"""Constructor. :param window_size: Size of the window desired. :param history_size: Size of the history desired. :return: the MessageCache"""
self.window_size = window_size
self.history_size = history_size
... | the_stack_v2_python_sparse | libp2p/pubsub/mcache.py | libp2p/py-libp2p | train | 399 | |
e76ea67c34129393b23335ae1ab31ba755bc250f | [
"try:\n run_permission_hooks('clone', obj)\nexcept PermissionDenied:\n return False\nelse:\n perm_codename = self.get_perm_codename('add')\n return self.user_has_specific_permission(user, perm_codename)",
"try:\n run_permission_hooks('update', obj)\nexcept PermissionDenied:\n return False\nelse:... | <|body_start_0|>
try:
run_permission_hooks('clone', obj)
except PermissionDenied:
return False
else:
perm_codename = self.get_perm_codename('add')
return self.user_has_specific_permission(user, perm_codename)
<|end_body_0|>
<|body_start_1|>
... | Custom permission helper class for Wagtail Omni forms | WagtailOmniFormPermissionHelper | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WagtailOmniFormPermissionHelper:
"""Custom permission helper class for Wagtail Omni forms"""
def user_can_clone_obj(self, user, obj):
"""Checks that the user has permission to clone a form in the system :param user: Logged in user instance :param obj: OmniForm model instance :return:... | stack_v2_sparse_classes_75kplus_train_065721 | 22,300 | permissive | [
{
"docstring": "Checks that the user has permission to clone a form in the system :param user: Logged in user instance :param obj: OmniForm model instance :return: bool - True if the user can create a form instance, otherwise false",
"name": "user_can_clone_obj",
"signature": "def user_can_clone_obj(sel... | 3 | stack_v2_sparse_classes_30k_test_001098 | Implement the Python class `WagtailOmniFormPermissionHelper` described below.
Class description:
Custom permission helper class for Wagtail Omni forms
Method signatures and docstrings:
- def user_can_clone_obj(self, user, obj): Checks that the user has permission to clone a form in the system :param user: Logged in u... | Implement the Python class `WagtailOmniFormPermissionHelper` described below.
Class description:
Custom permission helper class for Wagtail Omni forms
Method signatures and docstrings:
- def user_can_clone_obj(self, user, obj): Checks that the user has permission to clone a form in the system :param user: Logged in u... | 0c96162445f8b5ddf7f326f6b0a2e6ec239c4bd5 | <|skeleton|>
class WagtailOmniFormPermissionHelper:
"""Custom permission helper class for Wagtail Omni forms"""
def user_can_clone_obj(self, user, obj):
"""Checks that the user has permission to clone a form in the system :param user: Logged in user instance :param obj: OmniForm model instance :return:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WagtailOmniFormPermissionHelper:
"""Custom permission helper class for Wagtail Omni forms"""
def user_can_clone_obj(self, user, obj):
"""Checks that the user has permission to clone a form in the system :param user: Logged in user instance :param obj: OmniForm model instance :return: bool - True ... | the_stack_v2_python_sparse | omniforms/wagtail/wagtail_hooks.py | omni-digital/omni-forms | train | 6 |
d3481ff3f0b77030941a8c44e56588e4a624f161 | [
"self.__host = host\nself.__port = port\nhttplib.HTTPSConnection.__init__(self, host=self.__host, port=self.__port, strict=strict)\nif HttpsConnectionHandler.debug:\n self.set_debuglevel(1)",
"if not HttpsConnectionHandler.compress or (data.find('Host:') > -1 and data.find('Accept-Encoding:') > -1 and (data.fi... | <|body_start_0|>
self.__host = host
self.__port = port
httplib.HTTPSConnection.__init__(self, host=self.__host, port=self.__port, strict=strict)
if HttpsConnectionHandler.debug:
self.set_debuglevel(1)
<|end_body_0|>
<|body_start_1|>
if not HttpsConnectionHandler.comp... | Implements HttpsConnectionHandler. Responsible for creating custom HTTPS connection object to intercept ZSI's implementation. Provides support for sending and recieving compressed data. Overwrites httplib's send(), putrequest(), putheader(), endheaders(), and getresponse(). | HttpsConnectionHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HttpsConnectionHandler:
"""Implements HttpsConnectionHandler. Responsible for creating custom HTTPS connection object to intercept ZSI's implementation. Provides support for sending and recieving compressed data. Overwrites httplib's send(), putrequest(), putheader(), endheaders(), and getrespons... | stack_v2_sparse_classes_75kplus_train_065722 | 5,569 | permissive | [
{
"docstring": "Inits HttpsConnectionHandler with host and port. Args: host: str HTTPS host or combined form of host:port. [optional] port: int HTTPS port number. strict: bool if True, causes BadStatusLine to be raised if the status line can't be parsed as a valid HTTP/1.0 or 1.1 status line.",
"name": "__i... | 6 | null | Implement the Python class `HttpsConnectionHandler` described below.
Class description:
Implements HttpsConnectionHandler. Responsible for creating custom HTTPS connection object to intercept ZSI's implementation. Provides support for sending and recieving compressed data. Overwrites httplib's send(), putrequest(), pu... | Implement the Python class `HttpsConnectionHandler` described below.
Class description:
Implements HttpsConnectionHandler. Responsible for creating custom HTTPS connection object to intercept ZSI's implementation. Provides support for sending and recieving compressed data. Overwrites httplib's send(), putrequest(), pu... | 34197dfbdb01479f288611a0cb700e925c4e56ce | <|skeleton|>
class HttpsConnectionHandler:
"""Implements HttpsConnectionHandler. Responsible for creating custom HTTPS connection object to intercept ZSI's implementation. Provides support for sending and recieving compressed data. Overwrites httplib's send(), putrequest(), putheader(), endheaders(), and getrespons... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HttpsConnectionHandler:
"""Implements HttpsConnectionHandler. Responsible for creating custom HTTPS connection object to intercept ZSI's implementation. Provides support for sending and recieving compressed data. Overwrites httplib's send(), putrequest(), putheader(), endheaders(), and getresponse()."""
... | the_stack_v2_python_sparse | keygrabber/adwords/adwords_api_python_14.2.1/adspygoogle/common/zsi/HttpsConnectionHandler.py | MujaahidSalie/aranciulla | train | 0 |
99b8b7a834c0de135f3388ed0c0a0380c1937ac5 | [
"print('-- DGC.convert')\nprint('1- Depth gradient estimator: estimating Gx, Gy using the given databaseFeatures')\nDGC.DepthGradientEstimator(image, conversionParam, databaseFeatures)\nprint('2- Depth reconstructor: estimating the depth map')\nDGC.DepthConstructor(image, conversionParam)\nprint('3- Stereo creator ... | <|body_start_0|>
print('-- DGC.convert')
print('1- Depth gradient estimator: estimating Gx, Gy using the given databaseFeatures')
DGC.DepthGradientEstimator(image, conversionParam, databaseFeatures)
print('2- Depth reconstructor: estimating the depth map')
DGC.DepthConstructor(im... | Depth Gradient Converter class, a child from Basic Converter class to handle medium and close shots | DGC | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DGC:
"""Depth Gradient Converter class, a child from Basic Converter class to handle medium and close shots"""
def convert(image, conversionParam, databaseFeatures):
"""DGC Conversion consists of 3 sequential steps: 1) Depth gradient estimator: estimating Gx, Gy using the given datab... | stack_v2_sparse_classes_75kplus_train_065723 | 3,727 | no_license | [
{
"docstring": "DGC Conversion consists of 3 sequential steps: 1) Depth gradient estimator: estimating Gx, Gy using the given databaseFeatures 2) Depth reconstructor: estimating the depth map 3) Stereo creator from V+D: creating the leftImage, rightImage, and sideBySide It changes the leftImage and rightImage a... | 4 | null | Implement the Python class `DGC` described below.
Class description:
Depth Gradient Converter class, a child from Basic Converter class to handle medium and close shots
Method signatures and docstrings:
- def convert(image, conversionParam, databaseFeatures): DGC Conversion consists of 3 sequential steps: 1) Depth gr... | Implement the Python class `DGC` described below.
Class description:
Depth Gradient Converter class, a child from Basic Converter class to handle medium and close shots
Method signatures and docstrings:
- def convert(image, conversionParam, databaseFeatures): DGC Conversion consists of 3 sequential steps: 1) Depth gr... | 6763c61c25157ca8fa842e7147636b50fc298071 | <|skeleton|>
class DGC:
"""Depth Gradient Converter class, a child from Basic Converter class to handle medium and close shots"""
def convert(image, conversionParam, databaseFeatures):
"""DGC Conversion consists of 3 sequential steps: 1) Depth gradient estimator: estimating Gx, Gy using the given datab... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DGC:
"""Depth Gradient Converter class, a child from Basic Converter class to handle medium and close shots"""
def convert(image, conversionParam, databaseFeatures):
"""DGC Conversion consists of 3 sequential steps: 1) Depth gradient estimator: estimating Gx, Gy using the given databaseFeatures 2... | the_stack_v2_python_sparse | V3VCore/Converter/DGC.py | atroudi/V3V_2 | train | 0 |
7003682d90ec26c166df8169eea50dbc48029d8e | [
"super(CatDbConnection, self).connect()\nschs = self.fetchall('SELECT current_schemas(false)')\naddschs = [sch for sch in schs[0]['current_schemas'] if sch != 'public']\nsrch_path = 'pg_catalog'\nif addschs:\n srch_path += ', ' + ', '.join(addschs)\nself.execute('set search_path to %s' % srch_path)\nself.commit(... | <|body_start_0|>
super(CatDbConnection, self).connect()
schs = self.fetchall('SELECT current_schemas(false)')
addschs = [sch for sch in schs[0]['current_schemas'] if sch != 'public']
srch_path = 'pg_catalog'
if addschs:
srch_path += ', ' + ', '.join(addschs)
s... | A database connection, specialized for querying catalogs | CatDbConnection | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CatDbConnection:
"""A database connection, specialized for querying catalogs"""
def connect(self):
"""Connect to the database"""
<|body_0|>
def version(self):
"""The server's version number"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(C... | stack_v2_sparse_classes_75kplus_train_065724 | 26,796 | permissive | [
{
"docstring": "Connect to the database",
"name": "connect",
"signature": "def connect(self)"
},
{
"docstring": "The server's version number",
"name": "version",
"signature": "def version(self)"
}
] | 2 | null | Implement the Python class `CatDbConnection` described below.
Class description:
A database connection, specialized for querying catalogs
Method signatures and docstrings:
- def connect(self): Connect to the database
- def version(self): The server's version number | Implement the Python class `CatDbConnection` described below.
Class description:
A database connection, specialized for querying catalogs
Method signatures and docstrings:
- def connect(self): Connect to the database
- def version(self): The server's version number
<|skeleton|>
class CatDbConnection:
"""A databa... | ec682513d5256e383647f38f7fba29530cfb9fbe | <|skeleton|>
class CatDbConnection:
"""A database connection, specialized for querying catalogs"""
def connect(self):
"""Connect to the database"""
<|body_0|>
def version(self):
"""The server's version number"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CatDbConnection:
"""A database connection, specialized for querying catalogs"""
def connect(self):
"""Connect to the database"""
super(CatDbConnection, self).connect()
schs = self.fetchall('SELECT current_schemas(false)')
addschs = [sch for sch in schs[0]['current_schemas'... | the_stack_v2_python_sparse | pyrseas/database.py | perseas/Pyrseas | train | 323 |
4565c7b8b4dbc2832519dd865eb1f6c386495adb | [
"if applyTransform:\n boundPts = [obj.matrix_world * Vector(corner) for corner in obj.bound_box]\nelse:\n boundPts = obj.bound_box\nxmin = min([pt[0] for pt in boundPts])\nxmax = max([pt[0] for pt in boundPts])\nymin = min([pt[1] for pt in boundPts])\nymax = max([pt[1] for pt in boundPts])\nzmin = min([pt[2] ... | <|body_start_0|>
if applyTransform:
boundPts = [obj.matrix_world * Vector(corner) for corner in obj.bound_box]
else:
boundPts = obj.bound_box
xmin = min([pt[0] for pt in boundPts])
xmax = max([pt[0] for pt in boundPts])
ymin = min([pt[1] for pt in boundPts... | Utilities to build BBOX object from various Blender context | getBBOX | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class getBBOX:
"""Utilities to build BBOX object from various Blender context"""
def fromObj(obj, applyTransform=True):
"""Create a 3D BBOX from Blender object"""
<|body_0|>
def fromScn(cls, scn):
"""Create a 3D BBOX from Blender Scene union of bounding box of all obje... | stack_v2_sparse_classes_75kplus_train_065725 | 7,516 | no_license | [
{
"docstring": "Create a 3D BBOX from Blender object",
"name": "fromObj",
"signature": "def fromObj(obj, applyTransform=True)"
},
{
"docstring": "Create a 3D BBOX from Blender Scene union of bounding box of all objects containing in the scene",
"name": "fromScn",
"signature": "def fromSc... | 4 | stack_v2_sparse_classes_30k_train_026177 | Implement the Python class `getBBOX` described below.
Class description:
Utilities to build BBOX object from various Blender context
Method signatures and docstrings:
- def fromObj(obj, applyTransform=True): Create a 3D BBOX from Blender object
- def fromScn(cls, scn): Create a 3D BBOX from Blender Scene union of bou... | Implement the Python class `getBBOX` described below.
Class description:
Utilities to build BBOX object from various Blender context
Method signatures and docstrings:
- def fromObj(obj, applyTransform=True): Create a 3D BBOX from Blender object
- def fromScn(cls, scn): Create a 3D BBOX from Blender Scene union of bou... | c3469272f0775ca8c9ad98e74465e16610ef0983 | <|skeleton|>
class getBBOX:
"""Utilities to build BBOX object from various Blender context"""
def fromObj(obj, applyTransform=True):
"""Create a 3D BBOX from Blender object"""
<|body_0|>
def fromScn(cls, scn):
"""Create a 3D BBOX from Blender Scene union of bounding box of all obje... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class getBBOX:
"""Utilities to build BBOX object from various Blender context"""
def fromObj(obj, applyTransform=True):
"""Create a 3D BBOX from Blender object"""
if applyTransform:
boundPts = [obj.matrix_world * Vector(corner) for corner in obj.bound_box]
else:
... | the_stack_v2_python_sparse | operators/utils/bgis_utils.py | blendergis/BlenderGIS | train | 3 |
ba8ed6bab97d79e5110c1a1bd21897e61461a7c3 | [
"distro = remote.get_os_distrib()\nif distro in cls._NFS_CHECKS:\n command = cls._NFS_CHECKS[distro]\n remote.execute_command(command, run_as_root=True)\nelse:\n LOG.warning('Cannot verify installation of NFS mount tools for unknown distro {distro}.'.format(distro=distro))",
"local_path = self._get_path(... | <|body_start_0|>
distro = remote.get_os_distrib()
if distro in cls._NFS_CHECKS:
command = cls._NFS_CHECKS[distro]
remote.execute_command(command, run_as_root=True)
else:
LOG.warning('Cannot verify installation of NFS mount tools for unknown distro {distro}.'.f... | Handles mounting of a single NFS share to any number of instances. | _NFSMounter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _NFSMounter:
"""Handles mounting of a single NFS share to any number of instances."""
def setup_instance(cls, remote):
"""Prepares an instance to mount this type of share."""
<|body_0|>
def mount_to_instance(self, remote, share_info):
"""Mounts the share to the i... | stack_v2_sparse_classes_75kplus_train_065726 | 11,562 | permissive | [
{
"docstring": "Prepares an instance to mount this type of share.",
"name": "setup_instance",
"signature": "def setup_instance(cls, remote)"
},
{
"docstring": "Mounts the share to the instance as configured.",
"name": "mount_to_instance",
"signature": "def mount_to_instance(self, remote,... | 3 | stack_v2_sparse_classes_30k_val_001506 | Implement the Python class `_NFSMounter` described below.
Class description:
Handles mounting of a single NFS share to any number of instances.
Method signatures and docstrings:
- def setup_instance(cls, remote): Prepares an instance to mount this type of share.
- def mount_to_instance(self, remote, share_info): Moun... | Implement the Python class `_NFSMounter` described below.
Class description:
Handles mounting of a single NFS share to any number of instances.
Method signatures and docstrings:
- def setup_instance(cls, remote): Prepares an instance to mount this type of share.
- def mount_to_instance(self, remote, share_info): Moun... | a806a536b623b4ce1a345d5718505a5f04c987f4 | <|skeleton|>
class _NFSMounter:
"""Handles mounting of a single NFS share to any number of instances."""
def setup_instance(cls, remote):
"""Prepares an instance to mount this type of share."""
<|body_0|>
def mount_to_instance(self, remote, share_info):
"""Mounts the share to the i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _NFSMounter:
"""Handles mounting of a single NFS share to any number of instances."""
def setup_instance(cls, remote):
"""Prepares an instance to mount this type of share."""
distro = remote.get_os_distrib()
if distro in cls._NFS_CHECKS:
command = cls._NFS_CHECKS[distr... | the_stack_v2_python_sparse | sahara/service/edp/shares.py | openstack/sahara | train | 165 |
1f3b385394e5ff2251ba972809e2e2b06b9b0a1e | [
"rmb = 0\nrmb = usd * 6.33\nprint(f'{usd}美元可兑换{rmb}人民币')",
"usd = 0\nusd = rmb / 6.33\nprint(f'{rmb}人民币可兑换{usd}美元')"
] | <|body_start_0|>
rmb = 0
rmb = usd * 6.33
print(f'{usd}美元可兑换{rmb}人民币')
<|end_body_0|>
<|body_start_1|>
usd = 0
usd = rmb / 6.33
print(f'{rmb}人民币可兑换{usd}美元')
<|end_body_1|>
| 美元转换人民币，人民币转换美元 | Currency | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Currency:
"""美元转换人民币，人民币转换美元"""
def usd_to_rmb(self, usd):
"""美元转人民币"""
<|body_0|>
def rmb_to_usd(self, rmb):
"""人民币转美元"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
rmb = 0
rmb = usd * 6.33
print(f'{usd}美元可兑换{rmb}人民币')
<|end_b... | stack_v2_sparse_classes_75kplus_train_065727 | 2,776 | no_license | [
{
"docstring": "美元转人民币",
"name": "usd_to_rmb",
"signature": "def usd_to_rmb(self, usd)"
},
{
"docstring": "人民币转美元",
"name": "rmb_to_usd",
"signature": "def rmb_to_usd(self, rmb)"
}
] | 2 | null | Implement the Python class `Currency` described below.
Class description:
美元转换人民币，人民币转换美元
Method signatures and docstrings:
- def usd_to_rmb(self, usd): 美元转人民币
- def rmb_to_usd(self, rmb): 人民币转美元 | Implement the Python class `Currency` described below.
Class description:
美元转换人民币，人民币转换美元
Method signatures and docstrings:
- def usd_to_rmb(self, usd): 美元转人民币
- def rmb_to_usd(self, rmb): 人民币转美元
<|skeleton|>
class Currency:
"""美元转换人民币，人民币转换美元"""
def usd_to_rmb(self, usd):
"""美元转人民币"""
<|bod... | 355c7251dda058deefc80f3bffbf6c541d92ad41 | <|skeleton|>
class Currency:
"""美元转换人民币，人民币转换美元"""
def usd_to_rmb(self, usd):
"""美元转人民币"""
<|body_0|>
def rmb_to_usd(self, rmb):
"""人民币转美元"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Currency:
"""美元转换人民币，人民币转换美元"""
def usd_to_rmb(self, usd):
"""美元转人民币"""
rmb = 0
rmb = usd * 6.33
print(f'{usd}美元可兑换{rmb}人民币')
def rmb_to_usd(self, rmb):
"""人民币转美元"""
usd = 0
usd = rmb / 6.33
print(f'{rmb}人民币可兑换{usd}美元')
| the_stack_v2_python_sparse | 0202obj-pengtao/translator_v1.0.py | echolvan/homework | train | 0 |
98060b4873157f332869b13137b4263e473d0e4e | [
"self.logger = logger\nself._loop = loop\nself._in_path = in_path\nself._out_path = out_path\nself._in = -1\nself._out = -1\nself._stream_reader = None\nself._reader_protocol = None\nself._fileobj = None\nself._connection_attempts = PIPE_CONN_ATTEMPTS\nself._connection_timeout = PIPE_CONN_TIMEOUT",
"if self._loop... | <|body_start_0|>
self.logger = logger
self._loop = loop
self._in_path = in_path
self._out_path = out_path
self._in = -1
self._out = -1
self._stream_reader = None
self._reader_protocol = None
self._fileobj = None
self._connection_attempts = ... | Posix named pipes async wrapper communication protocol. | PosixNamedPipeProtocol | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PosixNamedPipeProtocol:
"""Posix named pipes async wrapper communication protocol."""
def __init__(self, in_path: str, out_path: str, logger: logging.Logger=_default_logger, loop: Optional[AbstractEventLoop]=None) -> None:
"""Initialize a new posix named pipe. :param in_path: rendezv... | stack_v2_sparse_classes_75kplus_train_065728 | 23,051 | permissive | [
{
"docstring": "Initialize a new posix named pipe. :param in_path: rendezvous point for incoming data :param out_path: rendezvous point for outgoing data :param logger: the logger :param loop: the event loop",
"name": "__init__",
"signature": "def __init__(self, in_path: str, out_path: str, logger: logg... | 6 | stack_v2_sparse_classes_30k_train_014097 | Implement the Python class `PosixNamedPipeProtocol` described below.
Class description:
Posix named pipes async wrapper communication protocol.
Method signatures and docstrings:
- def __init__(self, in_path: str, out_path: str, logger: logging.Logger=_default_logger, loop: Optional[AbstractEventLoop]=None) -> None: I... | Implement the Python class `PosixNamedPipeProtocol` described below.
Class description:
Posix named pipes async wrapper communication protocol.
Method signatures and docstrings:
- def __init__(self, in_path: str, out_path: str, logger: logging.Logger=_default_logger, loop: Optional[AbstractEventLoop]=None) -> None: I... | bec49adaeba661d8d0f03ac9935dc89f39d95a0d | <|skeleton|>
class PosixNamedPipeProtocol:
"""Posix named pipes async wrapper communication protocol."""
def __init__(self, in_path: str, out_path: str, logger: logging.Logger=_default_logger, loop: Optional[AbstractEventLoop]=None) -> None:
"""Initialize a new posix named pipe. :param in_path: rendezv... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PosixNamedPipeProtocol:
"""Posix named pipes async wrapper communication protocol."""
def __init__(self, in_path: str, out_path: str, logger: logging.Logger=_default_logger, loop: Optional[AbstractEventLoop]=None) -> None:
"""Initialize a new posix named pipe. :param in_path: rendezvous point for... | the_stack_v2_python_sparse | aea/helpers/pipe.py | fetchai/agents-aea | train | 192 |
9d1a434935dc92f34a1a78f4b3f8b0efdf9596c4 | [
"self.basename = addon\nself.addon_type = ValidAddons.get_addon_type(self.basename)\nself.module = 'gungame51.scripts.%s.%s.%s' % (self.addon_type, self.basename, self.basename)\ninstance = __import__(self.module, globals(), locals(), [''])\nreload(instance)\nself.globals = instance.__dict__\nself.info = self._get_... | <|body_start_0|>
self.basename = addon
self.addon_type = ValidAddons.get_addon_type(self.basename)
self.module = 'gungame51.scripts.%s.%s.%s' % (self.addon_type, self.basename, self.basename)
instance = __import__(self.module, globals(), locals(), [''])
reload(instance)
s... | Class that stores the instance of an included/custom addon | _AddonInstance | [
"Artistic-1.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _AddonInstance:
"""Class that stores the instance of an included/custom addon"""
def __init__(self, addon):
"""Called when the addon is first imported"""
<|body_0|>
def _get_addon_info(self):
"""Returns the AddonInfo instance for the addon"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_065729 | 2,595 | permissive | [
{
"docstring": "Called when the addon is first imported",
"name": "__init__",
"signature": "def __init__(self, addon)"
},
{
"docstring": "Returns the AddonInfo instance for the addon",
"name": "_get_addon_info",
"signature": "def _get_addon_info(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_041779 | Implement the Python class `_AddonInstance` described below.
Class description:
Class that stores the instance of an included/custom addon
Method signatures and docstrings:
- def __init__(self, addon): Called when the addon is first imported
- def _get_addon_info(self): Returns the AddonInfo instance for the addon | Implement the Python class `_AddonInstance` described below.
Class description:
Class that stores the instance of an included/custom addon
Method signatures and docstrings:
- def __init__(self, addon): Called when the addon is first imported
- def _get_addon_info(self): Returns the AddonInfo instance for the addon
<... | ebf4624626266f552189a32612b8d09cd5b4c5a3 | <|skeleton|>
class _AddonInstance:
"""Class that stores the instance of an included/custom addon"""
def __init__(self, addon):
"""Called when the addon is first imported"""
<|body_0|>
def _get_addon_info(self):
"""Returns the AddonInfo instance for the addon"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _AddonInstance:
"""Class that stores the instance of an included/custom addon"""
def __init__(self, addon):
"""Called when the addon is first imported"""
self.basename = addon
self.addon_type = ValidAddons.get_addon_type(self.basename)
self.module = 'gungame51.scripts.%s.%... | the_stack_v2_python_sparse | cstrike/addons/eventscripts/gungame51/core/addons/instance.py | GunGame-Dev-Team/GunGame51 | train | 0 |
7fd83ee6c3e489d73a224e09e00cd92c0be79640 | [
"if Articles.objects.filter(slug=article_slug).exists():\n comment = request.data.get('comment', {})\n article = Articles.objects.filter(slug=article_slug).first()\n comment.update({'article': article})\n serializer = self.serializer_class(data=comment)\n serializer.is_valid(raise_exception=True)\n ... | <|body_start_0|>
if Articles.objects.filter(slug=article_slug).exists():
comment = request.data.get('comment', {})
article = Articles.objects.filter(slug=article_slug).first()
comment.update({'article': article})
serializer = self.serializer_class(data=comment)
... | Endpoint for creating a comments | CreateCommentView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateCommentView:
"""Endpoint for creating a comments"""
def post(self, request, article_slug):
"""Handles all post requests to create a comment"""
<|body_0|>
def get(self, request, article_slug):
"""Handles all get requests by users to view the comments of a pa... | stack_v2_sparse_classes_75kplus_train_065730 | 8,741 | permissive | [
{
"docstring": "Handles all post requests to create a comment",
"name": "post",
"signature": "def post(self, request, article_slug)"
},
{
"docstring": "Handles all get requests by users to view the comments of a particular article",
"name": "get",
"signature": "def get(self, request, art... | 2 | stack_v2_sparse_classes_30k_train_035608 | Implement the Python class `CreateCommentView` described below.
Class description:
Endpoint for creating a comments
Method signatures and docstrings:
- def post(self, request, article_slug): Handles all post requests to create a comment
- def get(self, request, article_slug): Handles all get requests by users to view... | Implement the Python class `CreateCommentView` described below.
Class description:
Endpoint for creating a comments
Method signatures and docstrings:
- def post(self, request, article_slug): Handles all post requests to create a comment
- def get(self, request, article_slug): Handles all get requests by users to view... | ff4f1ba34d074e68e49f7896848f81b729542e1f | <|skeleton|>
class CreateCommentView:
"""Endpoint for creating a comments"""
def post(self, request, article_slug):
"""Handles all post requests to create a comment"""
<|body_0|>
def get(self, request, article_slug):
"""Handles all get requests by users to view the comments of a pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreateCommentView:
"""Endpoint for creating a comments"""
def post(self, request, article_slug):
"""Handles all post requests to create a comment"""
if Articles.objects.filter(slug=article_slug).exists():
comment = request.data.get('comment', {})
article = Articles... | the_stack_v2_python_sparse | authors/apps/comments/views.py | rfpremier/ah-django | train | 0 |
ff1dc5ae25fe95e389bd1178c4ffe7e8bfe8b6cb | [
"custom_args = self.args if custom_args is None else custom_args\nproc = subprocess.Popen([self.cmd] + custom_args, shell=False, bufsize=-1, cwd=self.git_repo_dir, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\noutput, error = proc.communicate()\nself.results = {'output': output, 'error': e... | <|body_start_0|>
custom_args = self.args if custom_args is None else custom_args
proc = subprocess.Popen([self.cmd] + custom_args, shell=False, bufsize=-1, cwd=self.git_repo_dir, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = proc.communicate()
sel... | A simple interface for some common interactions with the git binary | MunkiGit | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MunkiGit:
"""A simple interface for some common interactions with the git binary"""
def run_git(self, custom_args=None):
"""Executes the git command with the current set of arguments and returns a dictionary with the keys 'output', 'error', and 'returncode'. You can optionally pass a... | stack_v2_sparse_classes_75kplus_train_065731 | 5,017 | permissive | [
{
"docstring": "Executes the git command with the current set of arguments and returns a dictionary with the keys 'output', 'error', and 'returncode'. You can optionally pass an array into customArgs to override the self.args value without overwriting them.",
"name": "run_git",
"signature": "def run_git... | 6 | stack_v2_sparse_classes_30k_val_000776 | Implement the Python class `MunkiGit` described below.
Class description:
A simple interface for some common interactions with the git binary
Method signatures and docstrings:
- def run_git(self, custom_args=None): Executes the git command with the current set of arguments and returns a dictionary with the keys 'outp... | Implement the Python class `MunkiGit` described below.
Class description:
A simple interface for some common interactions with the git binary
Method signatures and docstrings:
- def run_git(self, custom_args=None): Executes the git command with the current set of arguments and returns a dictionary with the keys 'outp... | 0ba369100a7fa5864bd0107e4f77bd8787737ba3 | <|skeleton|>
class MunkiGit:
"""A simple interface for some common interactions with the git binary"""
def run_git(self, custom_args=None):
"""Executes the git command with the current set of arguments and returns a dictionary with the keys 'output', 'error', and 'returncode'. You can optionally pass a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MunkiGit:
"""A simple interface for some common interactions with the git binary"""
def run_git(self, custom_args=None):
"""Executes the git command with the current set of arguments and returns a dictionary with the keys 'output', 'error', and 'returncode'. You can optionally pass an array into ... | the_stack_v2_python_sparse | munkiwebadmin/utils.py | poundbangbash/mwa2 | train | 0 |
8caafb2e69682d5c6ff187dd10554eb4fc693cb5 | [
"if auth_header is None or type(auth_header) != str or (not auth_header.startswith('Basic ')):\n return None\nreturn auth_header.split(' ')[1]",
"if b64_auth_header is None or type(b64_auth_header) != str:\n return None\ntry:\n return base64.b64decode(b64_auth_header.encode('ascii')).decode('ascii')\nexc... | <|body_start_0|>
if auth_header is None or type(auth_header) != str or (not auth_header.startswith('Basic ')):
return None
return auth_header.split(' ')[1]
<|end_body_0|>
<|body_start_1|>
if b64_auth_header is None or type(b64_auth_header) != str:
return None
try... | BasicAuth class. | BasicAuth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasicAuth:
"""BasicAuth class."""
def extract_base64_authorization_header(self, auth_header: str) -> str:
"""Returns Base64 of the Authorization header"""
<|body_0|>
def decode_base64_authorization_header(self, b64_auth_header: str) -> str:
"""Returns decoded val... | stack_v2_sparse_classes_75kplus_train_065732 | 1,999 | no_license | [
{
"docstring": "Returns Base64 of the Authorization header",
"name": "extract_base64_authorization_header",
"signature": "def extract_base64_authorization_header(self, auth_header: str) -> str"
},
{
"docstring": "Returns decoded value of a Base64 string",
"name": "decode_base64_authorization... | 4 | stack_v2_sparse_classes_30k_test_000672 | Implement the Python class `BasicAuth` described below.
Class description:
BasicAuth class.
Method signatures and docstrings:
- def extract_base64_authorization_header(self, auth_header: str) -> str: Returns Base64 of the Authorization header
- def decode_base64_authorization_header(self, b64_auth_header: str) -> str... | Implement the Python class `BasicAuth` described below.
Class description:
BasicAuth class.
Method signatures and docstrings:
- def extract_base64_authorization_header(self, auth_header: str) -> str: Returns Base64 of the Authorization header
- def decode_base64_authorization_header(self, b64_auth_header: str) -> str... | 0aa1f87942a34efe436a8bebf95cc267cd846e04 | <|skeleton|>
class BasicAuth:
"""BasicAuth class."""
def extract_base64_authorization_header(self, auth_header: str) -> str:
"""Returns Base64 of the Authorization header"""
<|body_0|>
def decode_base64_authorization_header(self, b64_auth_header: str) -> str:
"""Returns decoded val... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BasicAuth:
"""BasicAuth class."""
def extract_base64_authorization_header(self, auth_header: str) -> str:
"""Returns Base64 of the Authorization header"""
if auth_header is None or type(auth_header) != str or (not auth_header.startswith('Basic ')):
return None
return a... | the_stack_v2_python_sparse | 0x06-Basic_authentication/api/v1/auth/basic_auth.py | maleksal/holbertonschool-web_back_end | train | 1 |
b48d0cc3a0347ee9da7f29b18238dfea97c8f00f | [
"assert IGSContentManagerFolderMarker in providedBy(folder)\nself.context = self.folder = folder\nself.__tree = None",
"if self.__tree is None:\n self.__tree = self.get_tree(self.get_root(self.folder))\nretval = self.__tree\nassert retval\nassert len(retval) == 2\nassert IGSContentManagerFolderMarker in provid... | <|body_start_0|>
assert IGSContentManagerFolderMarker in providedBy(folder)
self.context = self.folder = folder
self.__tree = None
<|end_body_0|>
<|body_start_1|>
if self.__tree is None:
self.__tree = self.get_tree(self.get_root(self.folder))
retval = self.__tree
... | A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (node, children). | PageTree | [
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PageTree:
"""A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (... | stack_v2_sparse_classes_75kplus_train_065733 | 5,595 | permissive | [
{
"docstring": "Create a tree. ARGUMENTS folder A folder, any folder, in the tree.",
"name": "__init__",
"signature": "def __init__(self, folder)"
},
{
"docstring": "Get the tree as a 2-tuple: (node, children). Each child is represented as a 2-tuple of (node, children).",
"name": "tree",
... | 4 | stack_v2_sparse_classes_30k_val_002051 | Implement the Python class `PageTree` described below.
Class description:
A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. P... | Implement the Python class `PageTree` described below.
Class description:
A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. P... | 2fd8d708f378eb1bde4a7331f724f4c9a3b974ae | <|skeleton|>
class PageTree:
"""A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PageTree:
"""A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (node, childre... | the_stack_v2_python_sparse | Products/GSContentManager/pagetree.py | groupserver/Products.GSContentManager | train | 0 |
75badd685a6aca2002c58b0da1066372d17809c2 | [
"entry = AuditLog(actor_id=actor_id, log_time=datetime.utcnow(), action=action, description=description, on_user_id=on_user_id if on_user_id else None, on_group_id=on_group_id if on_group_id else None, on_permission_id=on_permission_id if on_permission_id else None, category=int(category))\ntry:\n entry.add(sess... | <|body_start_0|>
entry = AuditLog(actor_id=actor_id, log_time=datetime.utcnow(), action=action, description=description, on_user_id=on_user_id if on_user_id else None, on_group_id=on_group_id if on_group_id else None, on_permission_id=on_permission_id if on_permission_id else None, category=int(category))
... | Logs actions taken in the system. This is a pretty simple logging framework to just let us track everything that happened. The main use case is to show users what has happened recently, to help them understand. | AuditLog | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuditLog:
"""Logs actions taken in the system. This is a pretty simple logging framework to just let us track everything that happened. The main use case is to show users what has happened recently, to help them understand."""
def log(session, actor_id, action, description, on_user_id=None, ... | stack_v2_sparse_classes_75kplus_train_065734 | 5,000 | permissive | [
{
"docstring": "Log an event in the database. Args: session(Session): database session actor_id(int): actor action(str): unique string identifier for action taken description(str): description for action taken on_user_id(int): user affected, if any on_group_id(int): group affected, if any on_permission_id(int):... | 2 | null | Implement the Python class `AuditLog` described below.
Class description:
Logs actions taken in the system. This is a pretty simple logging framework to just let us track everything that happened. The main use case is to show users what has happened recently, to help them understand.
Method signatures and docstrings:... | Implement the Python class `AuditLog` described below.
Class description:
Logs actions taken in the system. This is a pretty simple logging framework to just let us track everything that happened. The main use case is to show users what has happened recently, to help them understand.
Method signatures and docstrings:... | a4dae2a016ced01399e491964e0d7516113670a8 | <|skeleton|>
class AuditLog:
"""Logs actions taken in the system. This is a pretty simple logging framework to just let us track everything that happened. The main use case is to show users what has happened recently, to help them understand."""
def log(session, actor_id, action, description, on_user_id=None, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuditLog:
"""Logs actions taken in the system. This is a pretty simple logging framework to just let us track everything that happened. The main use case is to show users what has happened recently, to help them understand."""
def log(session, actor_id, action, description, on_user_id=None, on_group_id=N... | the_stack_v2_python_sparse | grouper/models/audit_log.py | dropbox/merou | train | 65 |
a7c46aedba6fdde82f4e12e17763a6e542483afb | [
"super(ConsumerComplaints, self).__init__(name, **kwargs)\nself.website_id = 'consumer_complaints'\nself.website_type = 'complaint'",
"base_url = 'https://www.consumercomplaints.in/bysubcategory/mobile-handsets/page/%d'\nfor page_index in range(1, 2):\n request_url = base_url % page_index\n request = Reques... | <|body_start_0|>
super(ConsumerComplaints, self).__init__(name, **kwargs)
self.website_id = 'consumer_complaints'
self.website_type = 'complaint'
<|end_body_0|>
<|body_start_1|>
base_url = 'https://www.consumercomplaints.in/bysubcategory/mobile-handsets/page/%d'
for page_index i... | 爬虫类 爬虫类名与 website_id 一致,不过遵循类名的首字母大写命名格式 | ConsumerComplaints | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConsumerComplaints:
"""爬虫类 爬虫类名与 website_id 一致,不过遵循类名的首字母大写命名格式"""
def __init__(self, name=None, **kwargs):
"""完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None"""
<|body_0|>
def s... | stack_v2_sparse_classes_75kplus_train_065735 | 3,480 | no_license | [
{
"docstring": "完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None",
"name": "__init__",
"signature": "def __init__(self, name=None, **kwargs)"
},
{
"docstring": "爬虫任务的起点,由于网站数据量有限,这里 url 为不变的 :warning: 增量更... | 3 | stack_v2_sparse_classes_30k_train_026978 | Implement the Python class `ConsumerComplaints` described below.
Class description:
爬虫类 爬虫类名与 website_id 一致,不过遵循类名的首字母大写命名格式
Method signatures and docstrings:
- def __init__(self, name=None, **kwargs): 完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 se... | Implement the Python class `ConsumerComplaints` described below.
Class description:
爬虫类 爬虫类名与 website_id 一致,不过遵循类名的首字母大写命名格式
Method signatures and docstrings:
- def __init__(self, name=None, **kwargs): 完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 se... | 1b42878b694fabc65a02228662ffdf819e5dcc71 | <|skeleton|>
class ConsumerComplaints:
"""爬虫类 爬虫类名与 website_id 一致,不过遵循类名的首字母大写命名格式"""
def __init__(self, name=None, **kwargs):
"""完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None"""
<|body_0|>
def s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConsumerComplaints:
"""爬虫类 爬虫类名与 website_id 一致,不过遵循类名的首字母大写命名格式"""
def __init__(self, name=None, **kwargs):
"""完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None"""
super(ConsumerComplaints, self).__... | the_stack_v2_python_sparse | zhengkuo/consumer_complaints/consumer_complaints/spiders/consumer_complaints.py | wangsanshi123/spiders | train | 0 |
a40e36424bdf0dac7ef3b258ce27876cfa3de4de | [
"self.host = host\nself.integral_volume_names = integral_volume_names\nself.password = password\nself.port = port\nself.share_type = share_type\nself.use_https = use_https\nself.username = username",
"if dictionary is None:\n return None\nhost = dictionary.get('host')\nintegral_volume_names = dictionary.get('i... | <|body_start_0|>
self.host = host
self.integral_volume_names = integral_volume_names
self.password = password
self.port = port
self.share_type = share_type
self.use_https = use_https
self.username = username
<|end_body_0|>
<|body_start_1|>
if dictionary i... | Implementation of the 'QStarServerCredentials' model. Specifies the server credentials to connect to a QStar service to manage the media Vault. Attributes: host (string): Specifies the IP address or DNS name of the server where QStar service is running. integral_volume_names (list of string): Array of Integral Volume N... | QStarServerCredentials | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QStarServerCredentials:
"""Implementation of the 'QStarServerCredentials' model. Specifies the server credentials to connect to a QStar service to manage the media Vault. Attributes: host (string): Specifies the IP address or DNS name of the server where QStar service is running. integral_volume_... | stack_v2_sparse_classes_75kplus_train_065736 | 3,345 | permissive | [
{
"docstring": "Constructor for the QStarServerCredentials class",
"name": "__init__",
"signature": "def __init__(self, host=None, integral_volume_names=None, password=None, port=None, share_type=None, use_https=None, username=None)"
},
{
"docstring": "Creates an instance of this model from a di... | 2 | stack_v2_sparse_classes_30k_train_021712 | Implement the Python class `QStarServerCredentials` described below.
Class description:
Implementation of the 'QStarServerCredentials' model. Specifies the server credentials to connect to a QStar service to manage the media Vault. Attributes: host (string): Specifies the IP address or DNS name of the server where QSt... | Implement the Python class `QStarServerCredentials` described below.
Class description:
Implementation of the 'QStarServerCredentials' model. Specifies the server credentials to connect to a QStar service to manage the media Vault. Attributes: host (string): Specifies the IP address or DNS name of the server where QSt... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class QStarServerCredentials:
"""Implementation of the 'QStarServerCredentials' model. Specifies the server credentials to connect to a QStar service to manage the media Vault. Attributes: host (string): Specifies the IP address or DNS name of the server where QStar service is running. integral_volume_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QStarServerCredentials:
"""Implementation of the 'QStarServerCredentials' model. Specifies the server credentials to connect to a QStar service to manage the media Vault. Attributes: host (string): Specifies the IP address or DNS name of the server where QStar service is running. integral_volume_names (list o... | the_stack_v2_python_sparse | cohesity_management_sdk/models/q_star_server_credentials.py | cohesity/management-sdk-python | train | 24 |
b922df153c49f845f03d8f14b6396bd3aed4da6e | [
"if not lists:\n return None\nfrom heapq import heappush, heappop\nheap = []\ntmp = 0\nfor n in lists:\n if n:\n heappush(heap, (n.val, (tmp, n)))\n tmp += 1\nif not heap:\n return None\nhead = cur = ListNode(None)\nwhile heap:\n v, (_, n) = heappop(heap)\n cur.next = n\n cur = cur.n... | <|body_start_0|>
if not lists:
return None
from heapq import heappush, heappop
heap = []
tmp = 0
for n in lists:
if n:
heappush(heap, (n.val, (tmp, n)))
tmp += 1
if not heap:
return None
head = cu... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
"""08/04/2018 22:06"""
<|body_0|>
def mergeKLists(self, lists: List[Optional[ListNode]]) -> Optional[ListNode]:
"""Time complexity: O(n*m*n) Space complexity: O(n)"""
<|body_1|>
def mergeKLists(self, lists: List[Op... | stack_v2_sparse_classes_75kplus_train_065737 | 3,955 | no_license | [
{
"docstring": "08/04/2018 22:06",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists)"
},
{
"docstring": "Time complexity: O(n*m*n) Space complexity: O(n)",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists: List[Optional[ListNode]]) -> Optional[ListNode]"
... | 4 | stack_v2_sparse_classes_30k_train_040840 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): 08/04/2018 22:06
- def mergeKLists(self, lists: List[Optional[ListNode]]) -> Optional[ListNode]: Time complexity: O(n*m*n) Space complexity: O(n)
- ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): 08/04/2018 22:06
- def mergeKLists(self, lists: List[Optional[ListNode]]) -> Optional[ListNode]: Time complexity: O(n*m*n) Space complexity: O(n)
- ... | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
"""08/04/2018 22:06"""
<|body_0|>
def mergeKLists(self, lists: List[Optional[ListNode]]) -> Optional[ListNode]:
"""Time complexity: O(n*m*n) Space complexity: O(n)"""
<|body_1|>
def mergeKLists(self, lists: List[Op... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mergeKLists(self, lists):
"""08/04/2018 22:06"""
if not lists:
return None
from heapq import heappush, heappop
heap = []
tmp = 0
for n in lists:
if n:
heappush(heap, (n.val, (tmp, n)))
tmp += ... | the_stack_v2_python_sparse | leetcode/solved/23_Merge_k_Sorted_Lists/solution.py | sungminoh/algorithms | train | 0 | |
e63f75b56d0df9d60d6284b0fea1a47f205a1316 | [
"states_series, hidden_size = self.hidden_layer()\nwith tf.variable_scope(constants.OUTPUT):\n states_series = tf.unstack(states_series, axis=1, name='unstack_states_series')\n self.batch_y_placeholder = tf.placeholder(dtype=tf.int32, shape=[self.settings.train.batch_size, self.settings.train.truncate], name=... | <|body_start_0|>
states_series, hidden_size = self.hidden_layer()
with tf.variable_scope(constants.OUTPUT):
states_series = tf.unstack(states_series, axis=1, name='unstack_states_series')
self.batch_y_placeholder = tf.placeholder(dtype=tf.int32, shape=[self.settings.train.batch_s... | An implementation of an RNN running with multiple inputs. @see RNNBase | MultiFeatureRNN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiFeatureRNN:
"""An implementation of an RNN running with multiple inputs. @see RNNBase"""
def output_layer(self):
"""@see RNNBase.output_layer"""
<|body_0|>
def hidden_layer(self):
"""@see RNNBase.hidden_layer Also returns: - hidden_size (int): The size of th... | stack_v2_sparse_classes_75kplus_train_065738 | 16,835 | permissive | [
{
"docstring": "@see RNNBase.output_layer",
"name": "output_layer",
"signature": "def output_layer(self)"
},
{
"docstring": "@see RNNBase.hidden_layer Also returns: - hidden_size (int): The size of the hidden layer for multiple inputs (hidden_size * number_of_inputs)",
"name": "hidden_layer"... | 3 | stack_v2_sparse_classes_30k_train_013486 | Implement the Python class `MultiFeatureRNN` described below.
Class description:
An implementation of an RNN running with multiple inputs. @see RNNBase
Method signatures and docstrings:
- def output_layer(self): @see RNNBase.output_layer
- def hidden_layer(self): @see RNNBase.hidden_layer Also returns: - hidden_size ... | Implement the Python class `MultiFeatureRNN` described below.
Class description:
An implementation of an RNN running with multiple inputs. @see RNNBase
Method signatures and docstrings:
- def output_layer(self): @see RNNBase.output_layer
- def hidden_layer(self): @see RNNBase.hidden_layer Also returns: - hidden_size ... | 23400d4deb775841a1b8aae2831c09cc043b8263 | <|skeleton|>
class MultiFeatureRNN:
"""An implementation of an RNN running with multiple inputs. @see RNNBase"""
def output_layer(self):
"""@see RNNBase.output_layer"""
<|body_0|>
def hidden_layer(self):
"""@see RNNBase.hidden_layer Also returns: - hidden_size (int): The size of th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiFeatureRNN:
"""An implementation of an RNN running with multiple inputs. @see RNNBase"""
def output_layer(self):
"""@see RNNBase.output_layer"""
states_series, hidden_size = self.hidden_layer()
with tf.variable_scope(constants.OUTPUT):
states_series = tf.unstack(s... | the_stack_v2_python_sparse | tf_rnn/model.py | ffrankies/tf_rnn | train | 1 |
9baee40b6dcff4c3136e0cd427ea69d5455cc071 | [
"self.origin = origin\nself.destination = destination\nself.date = date\nself.return_date = return_date\nself.num_adults = num_adults\nself.passengers = {'kind': 'qpxexpress#passengerCounts', 'adultCount': num_adults}\nself.slices = [{'kind': 'qpxexpress#sliceInput', 'origin': origin, 'destination': destination, 'd... | <|body_start_0|>
self.origin = origin
self.destination = destination
self.date = date
self.return_date = return_date
self.num_adults = num_adults
self.passengers = {'kind': 'qpxexpress#passengerCounts', 'adultCount': num_adults}
self.slices = [{'kind': 'qpxexpress... | QPX Request formatter. | QPXRequest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QPXRequest:
"""QPX Request formatter."""
def __init__(self, origin, destination, date, num_adults, return_date=None):
"""Create request object. :param origin: origin airport or IATA code :param destination: destination airport or IATA code :param date: datetime object :param num_adul... | stack_v2_sparse_classes_75kplus_train_065739 | 8,346 | no_license | [
{
"docstring": "Create request object. :param origin: origin airport or IATA code :param destination: destination airport or IATA code :param date: datetime object :param num_adults: integer representing the number of adults :kwarg return_date: datetime object",
"name": "__init__",
"signature": "def __i... | 3 | stack_v2_sparse_classes_30k_train_051488 | Implement the Python class `QPXRequest` described below.
Class description:
QPX Request formatter.
Method signatures and docstrings:
- def __init__(self, origin, destination, date, num_adults, return_date=None): Create request object. :param origin: origin airport or IATA code :param destination: destination airport ... | Implement the Python class `QPXRequest` described below.
Class description:
QPX Request formatter.
Method signatures and docstrings:
- def __init__(self, origin, destination, date, num_adults, return_date=None): Create request object. :param origin: origin airport or IATA code :param destination: destination airport ... | 362e6034764d97c78a48211c394f75caafad3eb3 | <|skeleton|>
class QPXRequest:
"""QPX Request formatter."""
def __init__(self, origin, destination, date, num_adults, return_date=None):
"""Create request object. :param origin: origin airport or IATA code :param destination: destination airport or IATA code :param date: datetime object :param num_adul... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QPXRequest:
"""QPX Request formatter."""
def __init__(self, origin, destination, date, num_adults, return_date=None):
"""Create request object. :param origin: origin airport or IATA code :param destination: destination airport or IATA code :param date: datetime object :param num_adults: integer r... | the_stack_v2_python_sparse | enot_app/qpxexpress.py | noodlesen/raccoon | train | 0 |
e4c0e617349eb7e96ead366aca413627c22e495f | [
"def thd(conn):\n submitted_at = datetime.now()\n submitted_at_epoch = time.mktime(submitted_at.timetuple())\n transaction = conn.begin()\n r = conn.execute(self.db.model.buildsets.insert(), dict(sourcestampid=ssid, submitted_at=submitted_at_epoch, reason=reason, external_idstring=external_idstring))\n ... | <|body_start_0|>
def thd(conn):
submitted_at = datetime.now()
submitted_at_epoch = time.mktime(submitted_at.timetuple())
transaction = conn.begin()
r = conn.execute(self.db.model.buildsets.insert(), dict(sourcestampid=ssid, submitted_at=submitted_at_epoch, reason=... | A DBConnectorComponent to handle getting buildsets into and out of the database. An instance is available at C{master.db.buildsets}. | BuildsetsConnectorComponent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildsetsConnectorComponent:
"""A DBConnectorComponent to handle getting buildsets into and out of the database. An instance is available at C{master.db.buildsets}."""
def addBuildset(self, ssid, reason, properties, builderNames, external_idstring=None):
"""Add a new Buildset to the ... | stack_v2_sparse_classes_75kplus_train_065740 | 5,968 | no_license | [
{
"docstring": "Add a new Buildset to the database, along with the buildrequests for each named builder, returning the resulting bsid via a Deferred. Arguments should be specified by keyword. @param ssid: id of the SourceStamp for this buildset @type ssid: integer @param reason: reason for this buildset @type r... | 4 | null | Implement the Python class `BuildsetsConnectorComponent` described below.
Class description:
A DBConnectorComponent to handle getting buildsets into and out of the database. An instance is available at C{master.db.buildsets}.
Method signatures and docstrings:
- def addBuildset(self, ssid, reason, properties, builderN... | Implement the Python class `BuildsetsConnectorComponent` described below.
Class description:
A DBConnectorComponent to handle getting buildsets into and out of the database. An instance is available at C{master.db.buildsets}.
Method signatures and docstrings:
- def addBuildset(self, ssid, reason, properties, builderN... | 8f2806e1b83ff1df5f6f6313089c0d1d1f2fe288 | <|skeleton|>
class BuildsetsConnectorComponent:
"""A DBConnectorComponent to handle getting buildsets into and out of the database. An instance is available at C{master.db.buildsets}."""
def addBuildset(self, ssid, reason, properties, builderNames, external_idstring=None):
"""Add a new Buildset to the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BuildsetsConnectorComponent:
"""A DBConnectorComponent to handle getting buildsets into and out of the database. An instance is available at C{master.db.buildsets}."""
def addBuildset(self, ssid, reason, properties, builderNames, external_idstring=None):
"""Add a new Buildset to the database, alo... | the_stack_v2_python_sparse | Lib/site-packages/buildbot/db/buildsets.py | acmiyaguchi/buildbotve | train | 0 |
e318c2c5c922960ab49634f1943513ce804a2302 | [
"delay = DelayFilter()\noriginal = delay(0)\nnorm = NormFilter()\nshift = ShiftSWFilter(window_size=2, strict_windows=False, cs=False)\nmean = MeanSWFilter(window_size=25, cs=False)\nstd = StdSWFilter(window_size=25, strict_windows=True)\ndtr = DecisionTreeRegressorSWFilter(window_size=100, strict_windows=True, ove... | <|body_start_0|>
delay = DelayFilter()
original = delay(0)
norm = NormFilter()
shift = ShiftSWFilter(window_size=2, strict_windows=False, cs=False)
mean = MeanSWFilter(window_size=25, cs=False)
std = StdSWFilter(window_size=25, strict_windows=True)
dtr = DecisionT... | ... | DtrEventSelector | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DtrEventSelector:
"""..."""
def seq_filters():
""":return:"""
<|body_0|>
def filter_events(self, event_seq, **kwargs):
"""Should be implemented :param event_seq:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
delay = DelayFilter()
origi... | stack_v2_sparse_classes_75kplus_train_065741 | 4,290 | permissive | [
{
"docstring": ":return:",
"name": "seq_filters",
"signature": "def seq_filters()"
},
{
"docstring": "Should be implemented :param event_seq:",
"name": "filter_events",
"signature": "def filter_events(self, event_seq, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_025936 | Implement the Python class `DtrEventSelector` described below.
Class description:
...
Method signatures and docstrings:
- def seq_filters(): :return:
- def filter_events(self, event_seq, **kwargs): Should be implemented :param event_seq: | Implement the Python class `DtrEventSelector` described below.
Class description:
...
Method signatures and docstrings:
- def seq_filters(): :return:
- def filter_events(self, event_seq, **kwargs): Should be implemented :param event_seq:
<|skeleton|>
class DtrEventSelector:
"""..."""
def seq_filters():
... | 617ff45c9c3c96bbd9a975aef15f1b2697282b9c | <|skeleton|>
class DtrEventSelector:
"""..."""
def seq_filters():
""":return:"""
<|body_0|>
def filter_events(self, event_seq, **kwargs):
"""Should be implemented :param event_seq:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DtrEventSelector:
"""..."""
def seq_filters():
""":return:"""
delay = DelayFilter()
original = delay(0)
norm = NormFilter()
shift = ShiftSWFilter(window_size=2, strict_windows=False, cs=False)
mean = MeanSWFilter(window_size=25, cs=False)
std = StdS... | the_stack_v2_python_sparse | shot_detector/selectors/event/dtr_event_selector.py | w495/python-video-shot-detector | train | 20 |
95ef2b388a271b0a2e5b4b3331aab0ac6d40c581 | [
"def dfs(node):\n if node:\n vals.append(str(node.val))\n dfs(node.left)\n dfs(node.right)\n else:\n vals.append('n')\nvals = []\ndfs(root)\nreturn ','.join(vals)",
"def dfs():\n val = next(vals)\n if val == 'n':\n return None\n node = TreeNode(int(val))\n node... | <|body_start_0|>
def dfs(node):
if node:
vals.append(str(node.val))
dfs(node.left)
dfs(node.right)
else:
vals.append('n')
vals = []
dfs(root)
return ','.join(vals)
<|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_75kplus_train_065742 | 2,805 | 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_022670 | 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:... | 0171afb25cb555f19dd4b3f707ea3faee6793f4f | <|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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def dfs(node):
if node:
vals.append(str(node.val))
dfs(node.left)
dfs(node.right)
else:
vals.appen... | the_stack_v2_python_sparse | tree/#297.py | liyu10000/leetcode | train | 3 | |
7f5501a461322f3913e2f624fefb9951af3194cd | [
"self.gt1 = _gt_type(gt1)\nself.gt2 = _gt_type(gt2)\nself.na_ignore = na_ignore\nself.n_total = None\nself.n_share = None\nself.n_unique = None\nself._not_both_ref = None",
"if self.na_ignore:\n self.n_total = (self.gt1 + self.gt2).fillna(0).map(lambda x: 1 if x != 0 else 0).sum()\nelse:\n self.n_total = (s... | <|body_start_0|>
self.gt1 = _gt_type(gt1)
self.gt2 = _gt_type(gt2)
self.na_ignore = na_ignore
self.n_total = None
self.n_share = None
self.n_unique = None
self._not_both_ref = None
<|end_body_0|>
<|body_start_1|>
if self.na_ignore:
self.n_tota... | gt_pair | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class gt_pair:
def __init__(self, gt1, gt2, na_ignore=False):
"""Parameters ---------- gt1, gt2: pd.Series Example ------- >>> gt1 = pd.Series([0, 1, 2, 0, 1, 2, 0, 1, 2, np.nan]) >>> gt2 = pd.Series([0, 1, 2, 1, 0, 1, np.nan, np.nan, np.nan, np.nan]) >>> gt = gt_pair(gt1, gt2).get_n_unique() ... | stack_v2_sparse_classes_75kplus_train_065743 | 21,141 | permissive | [
{
"docstring": "Parameters ---------- gt1, gt2: pd.Series Example ------- >>> gt1 = pd.Series([0, 1, 2, 0, 1, 2, 0, 1, 2, np.nan]) >>> gt2 = pd.Series([0, 1, 2, 1, 0, 1, np.nan, np.nan, np.nan, np.nan]) >>> gt = gt_pair(gt1, gt2).get_n_unique() >>> print(gt.n_total, gt.n_unique, gt.n_share) 7 5 2 >>> gt = gt_pa... | 4 | null | Implement the Python class `gt_pair` described below.
Class description:
Implement the gt_pair class.
Method signatures and docstrings:
- def __init__(self, gt1, gt2, na_ignore=False): Parameters ---------- gt1, gt2: pd.Series Example ------- >>> gt1 = pd.Series([0, 1, 2, 0, 1, 2, 0, 1, 2, np.nan]) >>> gt2 = pd.Serie... | Implement the Python class `gt_pair` described below.
Class description:
Implement the gt_pair class.
Method signatures and docstrings:
- def __init__(self, gt1, gt2, na_ignore=False): Parameters ---------- gt1, gt2: pd.Series Example ------- >>> gt1 = pd.Series([0, 1, 2, 0, 1, 2, 0, 1, 2, np.nan]) >>> gt2 = pd.Serie... | e5079b7b21b16a03d5a924a2d236cbd313f74aff | <|skeleton|>
class gt_pair:
def __init__(self, gt1, gt2, na_ignore=False):
"""Parameters ---------- gt1, gt2: pd.Series Example ------- >>> gt1 = pd.Series([0, 1, 2, 0, 1, 2, 0, 1, 2, np.nan]) >>> gt2 = pd.Series([0, 1, 2, 1, 0, 1, np.nan, np.nan, np.nan, np.nan]) >>> gt = gt_pair(gt1, gt2).get_n_unique() ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class gt_pair:
def __init__(self, gt1, gt2, na_ignore=False):
"""Parameters ---------- gt1, gt2: pd.Series Example ------- >>> gt1 = pd.Series([0, 1, 2, 0, 1, 2, 0, 1, 2, np.nan]) >>> gt2 = pd.Series([0, 1, 2, 1, 0, 1, np.nan, np.nan, np.nan, np.nan]) >>> gt = gt_pair(gt1, gt2).get_n_unique() >>> print(gt.n... | the_stack_v2_python_sparse | funpipe/vcf.py | Philo-Li/funpipe | train | 2 | |
a2cf3507045b07adb76a9eb86df98b65b453ec7c | [
"Process.__init__(self)\nself.daemonic = True\nself.work_queue = work_queue",
"while True:\n work_arg = self.work_queue.get()\n if work_arg is None:\n self.work_queue.task_done()\n return\n try:\n cine_fname, cine_hash, hdf_fname_template = work_arg\n proc_cine_fname(cine_fnam... | <|body_start_0|>
Process.__init__(self)
self.daemonic = True
self.work_queue = work_queue
<|end_body_0|>
<|body_start_1|>
while True:
work_arg = self.work_queue.get()
if work_arg is None:
self.work_queue.task_done()
return
... | Worker class for farming out the work of doing the least squares fit | worker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class worker:
"""Worker class for farming out the work of doing the least squares fit"""
def __init__(self, work_queue):
"""Work queue is a joinable queue, res_queue can be any sort of thing that supports put()"""
<|body_0|>
def run(self):
"""The assumption is that the... | stack_v2_sparse_classes_75kplus_train_065744 | 8,273 | no_license | [
{
"docstring": "Work queue is a joinable queue, res_queue can be any sort of thing that supports put()",
"name": "__init__",
"signature": "def __init__(self, work_queue)"
},
{
"docstring": "The assumption is that these will be run daemonic and reused for multiple work sessions",
"name": "run... | 2 | stack_v2_sparse_classes_30k_train_025304 | Implement the Python class `worker` described below.
Class description:
Worker class for farming out the work of doing the least squares fit
Method signatures and docstrings:
- def __init__(self, work_queue): Work queue is a joinable queue, res_queue can be any sort of thing that supports put()
- def run(self): The a... | Implement the Python class `worker` described below.
Class description:
Worker class for farming out the work of doing the least squares fit
Method signatures and docstrings:
- def __init__(self, work_queue): Work queue is a joinable queue, res_queue can be any sort of thing that supports put()
- def run(self): The a... | 78abcd84d3d2d2d4ecf15d0c77d1eeb86f5ab3e0 | <|skeleton|>
class worker:
"""Worker class for farming out the work of doing the least squares fit"""
def __init__(self, work_queue):
"""Work queue is a joinable queue, res_queue can be any sort of thing that supports put()"""
<|body_0|>
def run(self):
"""The assumption is that the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class worker:
"""Worker class for farming out the work of doing the least squares fit"""
def __init__(self, work_queue):
"""Work queue is a joinable queue, res_queue can be any sort of thing that supports put()"""
Process.__init__(self)
self.daemonic = True
self.work_queue = wor... | the_stack_v2_python_sparse | scripts/proc_mongo.py | tacaswell/leidenfrost | train | 1 |
6de0436abd47ba94fac9bb05fdbe77550bf7c91f | [
"self.column_names: List[str] = kargs.pop('column_names')\nsuper().__init__(*args, **kargs)\nself.set_fields_from_dict(['item_column', 'confirm_items', 'send_confirmation', 'track_read'])\nitem_column_name = self.fields['item_column'].initial\nif item_column_name is None:\n item_column_name = next((cname for cna... | <|body_start_0|>
self.column_names: List[str] = kargs.pop('column_names')
super().__init__(*args, **kargs)
self.set_fields_from_dict(['item_column', 'confirm_items', 'send_confirmation', 'track_read'])
item_column_name = self.fields['item_column'].initial
if item_column_name is N... | Form to edit the Send Email action. | EmailActionForm | [
"MIT",
"LGPL-2.0-or-later",
"Python-2.0",
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailActionForm:
"""Form to edit the Send Email action."""
def __init__(self, *args, **kargs):
"""Store column names and adjust initial values."""
<|body_0|>
def clean(self):
"""Verify email values."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_065745 | 20,237 | permissive | [
{
"docstring": "Store column names and adjust initial values.",
"name": "__init__",
"signature": "def __init__(self, *args, **kargs)"
},
{
"docstring": "Verify email values.",
"name": "clean",
"signature": "def clean(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_052421 | Implement the Python class `EmailActionForm` described below.
Class description:
Form to edit the Send Email action.
Method signatures and docstrings:
- def __init__(self, *args, **kargs): Store column names and adjust initial values.
- def clean(self): Verify email values. | Implement the Python class `EmailActionForm` described below.
Class description:
Form to edit the Send Email action.
Method signatures and docstrings:
- def __init__(self, *args, **kargs): Store column names and adjust initial values.
- def clean(self): Verify email values.
<|skeleton|>
class EmailActionForm:
""... | 5473e9faa24c71a2a1102d47ebc2cbf27608e42a | <|skeleton|>
class EmailActionForm:
"""Form to edit the Send Email action."""
def __init__(self, *args, **kargs):
"""Store column names and adjust initial values."""
<|body_0|>
def clean(self):
"""Verify email values."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailActionForm:
"""Form to edit the Send Email action."""
def __init__(self, *args, **kargs):
"""Store column names and adjust initial values."""
self.column_names: List[str] = kargs.pop('column_names')
super().__init__(*args, **kargs)
self.set_fields_from_dict(['item_col... | the_stack_v2_python_sparse | ontask/action/forms/run.py | LucasFranciscoCorreia/ontask_b | train | 0 |
df45a8c530ab5d6c3eaa34a1fb6cbb1b22d76094 | [
"if self.user:\n return self.user.realname or self.user.username\nreturn '({})'.format(self._user_name) if self._user_name else None",
"user_name = user.realname or user.username if user else None\nuser_name = user_name or realname or username or self._user_name\nself._user_name = user_name"
] | <|body_start_0|>
if self.user:
return self.user.realname or self.user.username
return '({})'.format(self._user_name) if self._user_name else None
<|end_body_0|>
<|body_start_1|>
user_name = user.realname or user.username if user else None
user_name = user_name or realname or... | Mixin providing a cached version of the user name. There needs to be: - a ``user`` relationship (which has no dynamic backref) - a meta column The observer needs to be registered in the children: @observes('user', 'user.realname', 'user.username') def user_observer(self, user, realname, username): if hasattr(self, '_us... | CachedUserNameMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CachedUserNameMixin:
"""Mixin providing a cached version of the user name. There needs to be: - a ``user`` relationship (which has no dynamic backref) - a meta column The observer needs to be registered in the children: @observes('user', 'user.realname', 'user.username') def user_observer(self, u... | stack_v2_sparse_classes_75kplus_train_065746 | 12,773 | permissive | [
{
"docstring": "Returns the name of the owner. If the user has been deleted, the last known name in brackets is returned.",
"name": "user_name",
"signature": "def user_name(self)"
},
{
"docstring": "Upates the last known name of the owner. This never deletes the stored name, set ``self._user_nam... | 2 | stack_v2_sparse_classes_30k_val_002391 | Implement the Python class `CachedUserNameMixin` described below.
Class description:
Mixin providing a cached version of the user name. There needs to be: - a ``user`` relationship (which has no dynamic backref) - a meta column The observer needs to be registered in the children: @observes('user', 'user.realname', 'us... | Implement the Python class `CachedUserNameMixin` described below.
Class description:
Mixin providing a cached version of the user name. There needs to be: - a ``user`` relationship (which has no dynamic backref) - a meta column The observer needs to be registered in the children: @observes('user', 'user.realname', 'us... | c706b38d5b67692b4146cdf14ef24d971a32c6b8 | <|skeleton|>
class CachedUserNameMixin:
"""Mixin providing a cached version of the user name. There needs to be: - a ``user`` relationship (which has no dynamic backref) - a meta column The observer needs to be registered in the children: @observes('user', 'user.realname', 'user.username') def user_observer(self, u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CachedUserNameMixin:
"""Mixin providing a cached version of the user name. There needs to be: - a ``user`` relationship (which has no dynamic backref) - a meta column The observer needs to be registered in the children: @observes('user', 'user.realname', 'user.username') def user_observer(self, user, realname... | the_stack_v2_python_sparse | src/onegov/gazette/models/notice.py | OneGov/onegov-cloud | train | 17 |
4c78e167e4acaedc01cf4142293048c7419f590e | [
"list_display = list(self.list_display)\nfor index, field_name in enumerate(list_display):\n field = getattr(self.model, field_name, None)\n if hasattr(field, 'related'):\n list_display.remove(field_name)\n list_display.insert(index, self.display_add_link(request, field.related))\nreturn list_di... | <|body_start_0|>
list_display = list(self.list_display)
for index, field_name in enumerate(list_display):
field = getattr(self.model, field_name, None)
if hasattr(field, 'related'):
list_display.remove(field_name)
list_display.insert(index, self.di... | AuditAdmin for Audit model. Mixins: Versions, permissions, spreadsheet export. | AuditAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuditAdmin:
"""AuditAdmin for Audit model. Mixins: Versions, permissions, spreadsheet export."""
def get_list_display(self, request):
"""Custom get_list_display."""
<|body_0|>
def display_add_link(self, request, related):
"""Custom display_add_link."""
<|... | stack_v2_sparse_classes_75kplus_train_065747 | 32,483 | no_license | [
{
"docstring": "Custom get_list_display.",
"name": "get_list_display",
"signature": "def get_list_display(self, request)"
},
{
"docstring": "Custom display_add_link.",
"name": "display_add_link",
"signature": "def display_add_link(self, request, related)"
}
] | 2 | null | Implement the Python class `AuditAdmin` described below.
Class description:
AuditAdmin for Audit model. Mixins: Versions, permissions, spreadsheet export.
Method signatures and docstrings:
- def get_list_display(self, request): Custom get_list_display.
- def display_add_link(self, request, related): Custom display_ad... | Implement the Python class `AuditAdmin` described below.
Class description:
AuditAdmin for Audit model. Mixins: Versions, permissions, spreadsheet export.
Method signatures and docstrings:
- def get_list_display(self, request): Custom get_list_display.
- def display_add_link(self, request, related): Custom display_ad... | 7be8c29c55dde2de4d5cec819d73726094af08ef | <|skeleton|>
class AuditAdmin:
"""AuditAdmin for Audit model. Mixins: Versions, permissions, spreadsheet export."""
def get_list_display(self, request):
"""Custom get_list_display."""
<|body_0|>
def display_add_link(self, request, related):
"""Custom display_add_link."""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuditAdmin:
"""AuditAdmin for Audit model. Mixins: Versions, permissions, spreadsheet export."""
def get_list_display(self, request):
"""Custom get_list_display."""
list_display = list(self.list_display)
for index, field_name in enumerate(list_display):
field = getattr... | the_stack_v2_python_sparse | pythia/admin.py | dbca-wa/sdis | train | 6 |
447e950fffaad9c0f629649c2daa6b4b3e2d9e17 | [
"n = len(parent)\nself.locks = {i: -1 for i in range(n)}\nself.ancestors = {0: []}\nfor i in range(1, n):\n father = parent[i]\n self.ancestors[i] = [father] + self.ancestors[father]\nself.descendants = {i: [] for i in range(n)}\nfor i in range(n - 1, 0, -1):\n curr = parent[i]\n self.descendants[curr] ... | <|body_start_0|>
n = len(parent)
self.locks = {i: -1 for i in range(n)}
self.ancestors = {0: []}
for i in range(1, n):
father = parent[i]
self.ancestors[i] = [father] + self.ancestors[father]
self.descendants = {i: [] for i in range(n)}
for i in ra... | LockingTree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LockingTree:
def __init__(self, parent):
""":type parent: List[int]"""
<|body_0|>
def lock(self, num, user):
""":type num: int :type user: int :rtype: bool"""
<|body_1|>
def unlock(self, num, user):
""":type num: int :type user: int :rtype: bool"... | stack_v2_sparse_classes_75kplus_train_065748 | 2,615 | no_license | [
{
"docstring": ":type parent: List[int]",
"name": "__init__",
"signature": "def __init__(self, parent)"
},
{
"docstring": ":type num: int :type user: int :rtype: bool",
"name": "lock",
"signature": "def lock(self, num, user)"
},
{
"docstring": ":type num: int :type user: int :rty... | 4 | null | Implement the Python class `LockingTree` described below.
Class description:
Implement the LockingTree class.
Method signatures and docstrings:
- def __init__(self, parent): :type parent: List[int]
- def lock(self, num, user): :type num: int :type user: int :rtype: bool
- def unlock(self, num, user): :type num: int :... | Implement the Python class `LockingTree` described below.
Class description:
Implement the LockingTree class.
Method signatures and docstrings:
- def __init__(self, parent): :type parent: List[int]
- def lock(self, num, user): :type num: int :type user: int :rtype: bool
- def unlock(self, num, user): :type num: int :... | ee59b82125f100970c842d5e1245287c484d6649 | <|skeleton|>
class LockingTree:
def __init__(self, parent):
""":type parent: List[int]"""
<|body_0|>
def lock(self, num, user):
""":type num: int :type user: int :rtype: bool"""
<|body_1|>
def unlock(self, num, user):
""":type num: int :type user: int :rtype: bool"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LockingTree:
def __init__(self, parent):
""":type parent: List[int]"""
n = len(parent)
self.locks = {i: -1 for i in range(n)}
self.ancestors = {0: []}
for i in range(1, n):
father = parent[i]
self.ancestors[i] = [father] + self.ancestors[father]
... | the_stack_v2_python_sparse | _CodeTopics/LeetCode_contest/biweekly/biweekly2021/60/RE--60_3.py | BIAOXYZ/variousCodes | train | 0 | |
1115c0c86e333eabb1f817e8b03430666e09062b | [
"try:\n logger.info(\"更改poc供电状态测试'\")\n self.login()\n self.getin_outin()\n state = self.change_poc_state()\n self.assertEqual(state, ('PoC未连接', 'PoC已连接'))\nexcept Exception as msg:\n logger.error(u'异常原因：%s' % msg)\n self.driver.get_screenshot_as_file(os.path.join(readconfig.screen_path, 'test_... | <|body_start_0|>
try:
logger.info("更改poc供电状态测试'")
self.login()
self.getin_outin()
state = self.change_poc_state()
self.assertEqual(state, ('PoC未连接', 'PoC已连接'))
except Exception as msg:
logger.error(u'异常原因：%s' % msg)
self... | 输入输出相关测试 | InputOutputTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InputOutputTest:
"""输入输出相关测试"""
def test_change_poc_state(self):
"""更改poc供电状态测试"""
<|body_0|>
def test_urldisabled(self):
"""选择本地多流时，URL不可编辑"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
logger.info("更改poc供电状态测试'")
... | stack_v2_sparse_classes_75kplus_train_065749 | 1,665 | no_license | [
{
"docstring": "更改poc供电状态测试",
"name": "test_change_poc_state",
"signature": "def test_change_poc_state(self)"
},
{
"docstring": "选择本地多流时，URL不可编辑",
"name": "test_urldisabled",
"signature": "def test_urldisabled(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038577 | Implement the Python class `InputOutputTest` described below.
Class description:
输入输出相关测试
Method signatures and docstrings:
- def test_change_poc_state(self): 更改poc供电状态测试
- def test_urldisabled(self): 选择本地多流时，URL不可编辑 | Implement the Python class `InputOutputTest` described below.
Class description:
输入输出相关测试
Method signatures and docstrings:
- def test_change_poc_state(self): 更改poc供电状态测试
- def test_urldisabled(self): 选择本地多流时，URL不可编辑
<|skeleton|>
class InputOutputTest:
"""输入输出相关测试"""
def test_change_poc_state(self):
... | fd552eeb47fd4838c2c5caef4deea7480ab75ce9 | <|skeleton|>
class InputOutputTest:
"""输入输出相关测试"""
def test_change_poc_state(self):
"""更改poc供电状态测试"""
<|body_0|>
def test_urldisabled(self):
"""选择本地多流时，URL不可编辑"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InputOutputTest:
"""输入输出相关测试"""
def test_change_poc_state(self):
"""更改poc供电状态测试"""
try:
logger.info("更改poc供电状态测试'")
self.login()
self.getin_outin()
state = self.change_poc_state()
self.assertEqual(state, ('PoC未连接', 'PoC已连接'))
... | the_stack_v2_python_sparse | test_case/B005_Input_output_test.py | luhuifnag/AVA_UIauto_test | train | 0 |
da6e8e90b303be724b177840345b1640e5b79a0c | [
"while n % 4 == 0:\n n = n // 4\nif n % 8 == 7:\n return 4\nx = 0\nwhile x * x <= n:\n y = int(math.sqrt(n - x * x))\n if x * x + y * y == n:\n if x == 0 or y == 0:\n return 1\n else:\n return 2\n x += 1\nreturn 3",
"dp = [2147483647 for _ in range(n + 1)]\ndp[0]... | <|body_start_0|>
while n % 4 == 0:
n = n // 4
if n % 8 == 7:
return 4
x = 0
while x * x <= n:
y = int(math.sqrt(n - x * x))
if x * x + y * y == n:
if x == 0 or y == 0:
return 1
else:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSquares(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def numSquares_dp1(self, n):
""":type n: int :rtype: int"""
<|body_1|>
def numSquares_dp2(self, n):
""":type n: int :rtype: int"""
<|body_2|>
def numSquares... | stack_v2_sparse_classes_75kplus_train_065750 | 4,676 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "numSquares",
"signature": "def numSquares(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "numSquares_dp1",
"signature": "def numSquares_dp1(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "nu... | 6 | stack_v2_sparse_classes_30k_train_045685 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares(self, n): :type n: int :rtype: int
- def numSquares_dp1(self, n): :type n: int :rtype: int
- def numSquares_dp2(self, n): :type n: int :rtype: int
- def numSquares... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares(self, n): :type n: int :rtype: int
- def numSquares_dp1(self, n): :type n: int :rtype: int
- def numSquares_dp2(self, n): :type n: int :rtype: int
- def numSquares... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def numSquares(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def numSquares_dp1(self, n):
""":type n: int :rtype: int"""
<|body_1|>
def numSquares_dp2(self, n):
""":type n: int :rtype: int"""
<|body_2|>
def numSquares... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numSquares(self, n):
""":type n: int :rtype: int"""
while n % 4 == 0:
n = n // 4
if n % 8 == 7:
return 4
x = 0
while x * x <= n:
y = int(math.sqrt(n - x * x))
if x * x + y * y == n:
if x == 0 ... | the_stack_v2_python_sparse | src/lt_279.py | oxhead/CodingYourWay | train | 0 | |
6de35e61cf48a13a1689fafd04d73f6db969309f | [
"from resistics.errors import ProjectLoadError\nfrom resistics.common import assert_dir, dir_subdirs\nassert_dir(self.dir_path)\nmetadata_path = self.dir_path / PROJ_FILE\nif not metadata_path.exists():\n raise ProjectLoadError(self.dir_path, f'Resistics project file {metadata_path} not found')\nself._check_subd... | <|body_start_0|>
from resistics.errors import ProjectLoadError
from resistics.common import assert_dir, dir_subdirs
assert_dir(self.dir_path)
metadata_path = self.dir_path / PROJ_FILE
if not metadata_path.exists():
raise ProjectLoadError(self.dir_path, f'Resistics pro... | Project loader | ProjectLoader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectLoader:
"""Project loader"""
def run(self, config: Configuration) -> Project:
"""Load a project Parameters ---------- config : Configuration The configuration for the purposes of getting the time readers Returns ------- Project Project instance Raises ------ ProjectLoadError I... | stack_v2_sparse_classes_75kplus_train_065751 | 24,919 | permissive | [
{
"docstring": "Load a project Parameters ---------- config : Configuration The configuration for the purposes of getting the time readers Returns ------- Project Project instance Raises ------ ProjectLoadError If the resistcs project metadata is not found",
"name": "run",
"signature": "def run(self, co... | 4 | stack_v2_sparse_classes_30k_train_012054 | Implement the Python class `ProjectLoader` described below.
Class description:
Project loader
Method signatures and docstrings:
- def run(self, config: Configuration) -> Project: Load a project Parameters ---------- config : Configuration The configuration for the purposes of getting the time readers Returns ------- ... | Implement the Python class `ProjectLoader` described below.
Class description:
Project loader
Method signatures and docstrings:
- def run(self, config: Configuration) -> Project: Load a project Parameters ---------- config : Configuration The configuration for the purposes of getting the time readers Returns ------- ... | cba60747803b6c582eaaf1a670a7f455f5724ebd | <|skeleton|>
class ProjectLoader:
"""Project loader"""
def run(self, config: Configuration) -> Project:
"""Load a project Parameters ---------- config : Configuration The configuration for the purposes of getting the time readers Returns ------- Project Project instance Raises ------ ProjectLoadError I... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectLoader:
"""Project loader"""
def run(self, config: Configuration) -> Project:
"""Load a project Parameters ---------- config : Configuration The configuration for the purposes of getting the time readers Returns ------- Project Project instance Raises ------ ProjectLoadError If the resistc... | the_stack_v2_python_sparse | resistics/letsgo.py | resistics/resistics | train | 47 |
da8bf669b3376badf975ea6b64e514cfb17c8168 | [
"params = params.copy()\noptions = params.pop('OPTIONS').copy()\noptions.setdefault('autoescape', True)\noptions.setdefault('debug', settings.DEBUG)\noptions.setdefault('file_charset', settings.FILE_CHARSET)\nlibraries = options.get('libraries', {})\noptions['libraries'] = self.get_templatetag_libraries(libraries)\... | <|body_start_0|>
params = params.copy()
options = params.pop('OPTIONS').copy()
options.setdefault('autoescape', True)
options.setdefault('debug', settings.DEBUG)
options.setdefault('file_charset', settings.FILE_CHARSET)
libraries = options.get('libraries', {})
opt... | DjangoTemplates | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DjangoTemplates:
def __init__(self, params):
"""Hard override of init to use our engine."""
<|body_0|>
def get_template(self, template_name, app_label=None, model_name=None):
"""Hard override accepts app_label and model_name"""
<|body_1|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_75kplus_train_065752 | 1,292 | permissive | [
{
"docstring": "Hard override of init to use our engine.",
"name": "__init__",
"signature": "def __init__(self, params)"
},
{
"docstring": "Hard override accepts app_label and model_name",
"name": "get_template",
"signature": "def get_template(self, template_name, app_label=None, model_n... | 2 | stack_v2_sparse_classes_30k_train_026114 | Implement the Python class `DjangoTemplates` described below.
Class description:
Implement the DjangoTemplates class.
Method signatures and docstrings:
- def __init__(self, params): Hard override of init to use our engine.
- def get_template(self, template_name, app_label=None, model_name=None): Hard override accepts... | Implement the Python class `DjangoTemplates` described below.
Class description:
Implement the DjangoTemplates class.
Method signatures and docstrings:
- def __init__(self, params): Hard override of init to use our engine.
- def get_template(self, template_name, app_label=None, model_name=None): Hard override accepts... | 3762baf7e10bf80bfb6efb44a585beff8e8fc882 | <|skeleton|>
class DjangoTemplates:
def __init__(self, params):
"""Hard override of init to use our engine."""
<|body_0|>
def get_template(self, template_name, app_label=None, model_name=None):
"""Hard override accepts app_label and model_name"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DjangoTemplates:
def __init__(self, params):
"""Hard override of init to use our engine."""
params = params.copy()
options = params.pop('OPTIONS').copy()
options.setdefault('autoescape', True)
options.setdefault('debug', settings.DEBUG)
options.setdefault('file_... | the_stack_v2_python_sparse | foundation/template/backends/django.py | altio/foundation | train | 5 | |
a0e7435379eb7e9906d95be3ee347cb2478790e7 | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('hek_kquirk', 'hek_kquirk')\nl = []\nurl = 'https://dataverse.harvard.edu/api/access/datafile/:persistentId/?persistentId=doi:10.7910/DVN/JZV6ON/BGTJS7&version=1.1'\nr = requests.get(url)\nz = zipfile.Zip... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('hek_kquirk', 'hek_kquirk')
l = []
url = 'https://dataverse.harvard.edu/api/access/datafile/:persistentId/?persistentId=doi:10.7910/DVN/JZV6ON/BGTJ... | police_districts | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class police_districts:
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_75kplus_train_065753 | 4,472 | 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 `police_districts` described below.
Class description:
Implement the police_districts 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 `police_districts` described below.
Class description:
Implement the police_districts 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 police_districts:
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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class police_districts:
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/police_districts.py | maximega/course-2019-spr-proj | train | 2 | |
6aca551c823be1cd6a8cf845aa61a8742a5de8d1 | [
"id = request.GET.get('id', '')\nplanObj = ExecutePlan.objects.filter(id=id).first()\nprojectName = planObj.parent.projectName\nreportObject = InterfaceTestReport.objects.filter(parent=id)\nmaxRunNumber = reportObject.aggregate(Max('runNumber'))['runNumber__max']\nrunNumberList = reportObject.values('runNumber').di... | <|body_start_0|>
id = request.GET.get('id', '')
planObj = ExecutePlan.objects.filter(id=id).first()
projectName = planObj.parent.projectName
reportObject = InterfaceTestReport.objects.filter(parent=id)
maxRunNumber = reportObject.aggregate(Max('runNumber'))['runNumber__max']
... | TestReport | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestReport:
def get(self, request, *args, **kwargs):
"""return:开始时间、结束时间、运行次数"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""测试报告数据列表"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
id = request.GET.get('id', '')
planObj = Execut... | stack_v2_sparse_classes_75kplus_train_065754 | 15,556 | no_license | [
{
"docstring": "return:开始时间、结束时间、运行次数",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "测试报告数据列表",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035870 | Implement the Python class `TestReport` described below.
Class description:
Implement the TestReport class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): return:开始时间、结束时间、运行次数
- def post(self, request, *args, **kwargs): 测试报告数据列表 | Implement the Python class `TestReport` described below.
Class description:
Implement the TestReport class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): return:开始时间、结束时间、运行次数
- def post(self, request, *args, **kwargs): 测试报告数据列表
<|skeleton|>
class TestReport:
def get(self, request... | f2523d6e51cde1b53ac6f453f8066b4b90c523b9 | <|skeleton|>
class TestReport:
def get(self, request, *args, **kwargs):
"""return:开始时间、结束时间、运行次数"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""测试报告数据列表"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestReport:
def get(self, request, *args, **kwargs):
"""return:开始时间、结束时间、运行次数"""
id = request.GET.get('id', '')
planObj = ExecutePlan.objects.filter(id=id).first()
projectName = planObj.parent.projectName
reportObject = InterfaceTestReport.objects.filter(parent=id)
... | the_stack_v2_python_sparse | api/interface/rest/executePlan.py | zhuzhanhao1/backend | train | 0 | |
8617996fd65b7a78dcdb47385f693aa67a039f01 | [
"self.ai_settings = ai_settings\nself.reset_stats()\nself.game_active = False\nself.max_score = 0",
"self.ships_left = self.ai_settings.ship_lives\nself.score = 0\nself.level = 1"
] | <|body_start_0|>
self.ai_settings = ai_settings
self.reset_stats()
self.game_active = False
self.max_score = 0
<|end_body_0|>
<|body_start_1|>
self.ships_left = self.ai_settings.ship_lives
self.score = 0
self.level = 1
<|end_body_1|>
| follow all the information of the game | GameStats | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameStats:
"""follow all the information of the game"""
def __init__(self, ai_settings):
"""initialize all the information"""
<|body_0|>
def reset_stats(self):
"""initialize all the information the may be changed on the procedure of running program"""
<|b... | stack_v2_sparse_classes_75kplus_train_065755 | 608 | no_license | [
{
"docstring": "initialize all the information",
"name": "__init__",
"signature": "def __init__(self, ai_settings)"
},
{
"docstring": "initialize all the information the may be changed on the procedure of running program",
"name": "reset_stats",
"signature": "def reset_stats(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035073 | Implement the Python class `GameStats` described below.
Class description:
follow all the information of the game
Method signatures and docstrings:
- def __init__(self, ai_settings): initialize all the information
- def reset_stats(self): initialize all the information the may be changed on the procedure of running p... | Implement the Python class `GameStats` described below.
Class description:
follow all the information of the game
Method signatures and docstrings:
- def __init__(self, ai_settings): initialize all the information
- def reset_stats(self): initialize all the information the may be changed on the procedure of running p... | a5261982057f5a2d8fdf673b23593b7abd722c36 | <|skeleton|>
class GameStats:
"""follow all the information of the game"""
def __init__(self, ai_settings):
"""initialize all the information"""
<|body_0|>
def reset_stats(self):
"""initialize all the information the may be changed on the procedure of running program"""
<|b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GameStats:
"""follow all the information of the game"""
def __init__(self, ai_settings):
"""initialize all the information"""
self.ai_settings = ai_settings
self.reset_stats()
self.game_active = False
self.max_score = 0
def reset_stats(self):
"""initia... | the_stack_v2_python_sparse | Part2/alien_invasion/game_stats.py | bigbillfighter/Python-Tutorial | train | 0 |
27a6017cb281093716c05405fa11855bb24decbb | [
"canonical_arch = None\nfor k, v in BuildArchitecture._build_architecture.iteritems():\n if arch == k or arch in v['alias']:\n canonical_arch = k\n break\nreturn canonical_arch",
"arch = BuildArchitecture.get_canonical_architecture(arch)\nif arch:\n return BuildArchitecture._build_architecture... | <|body_start_0|>
canonical_arch = None
for k, v in BuildArchitecture._build_architecture.iteritems():
if arch == k or arch in v['alias']:
canonical_arch = k
break
return canonical_arch
<|end_body_0|>
<|body_start_1|>
arch = BuildArchitecture.g... | The BuildArchitecture class manages architecture/bits configuration across various platforms/compilers combined with the input from command line. | BuildArchitecture | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildArchitecture:
"""The BuildArchitecture class manages architecture/bits configuration across various platforms/compilers combined with the input from command line."""
def get_canonical_architecture(arch):
"""Get the canonical architecture from the specified arch."""
<|bod... | stack_v2_sparse_classes_75kplus_train_065756 | 11,605 | permissive | [
{
"docstring": "Get the canonical architecture from the specified arch.",
"name": "get_canonical_architecture",
"signature": "def get_canonical_architecture(arch)"
},
{
"docstring": "Get the architecture bits.",
"name": "get_architecture_bits",
"signature": "def get_architecture_bits(arc... | 3 | null | Implement the Python class `BuildArchitecture` described below.
Class description:
The BuildArchitecture class manages architecture/bits configuration across various platforms/compilers combined with the input from command line.
Method signatures and docstrings:
- def get_canonical_architecture(arch): Get the canonic... | Implement the Python class `BuildArchitecture` described below.
Class description:
The BuildArchitecture class manages architecture/bits configuration across various platforms/compilers combined with the input from command line.
Method signatures and docstrings:
- def get_canonical_architecture(arch): Get the canonic... | a7da427617885546c5b5e07aa7740b3dee690337 | <|skeleton|>
class BuildArchitecture:
"""The BuildArchitecture class manages architecture/bits configuration across various platforms/compilers combined with the input from command line."""
def get_canonical_architecture(arch):
"""Get the canonical architecture from the specified arch."""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BuildArchitecture:
"""The BuildArchitecture class manages architecture/bits configuration across various platforms/compilers combined with the input from command line."""
def get_canonical_architecture(arch):
"""Get the canonical architecture from the specified arch."""
canonical_arch = N... | the_stack_v2_python_sparse | build_tools/typhoon-blade/src/blade/blade_platform.py | algo-data-platform/PredictorService | train | 3 |
48495827d4f139c6463ed0a004e9465dab3f2da0 | [
"employee_schema = EmployeeSchema()\nemployee_data = request.get_json()\nvalidated_employee_data, errors = employee_schema.load(employee_data)\nif errors:\n return (dict(status='fail', message=errors), 400)\nemployee = Employee(**validated_employee_data)\nsaved_employee = employee.save()\nif not saved_employee:\... | <|body_start_0|>
employee_schema = EmployeeSchema()
employee_data = request.get_json()
validated_employee_data, errors = employee_schema.load(employee_data)
if errors:
return (dict(status='fail', message=errors), 400)
employee = Employee(**validated_employee_data)
... | EmployeeView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmployeeView:
def post(self):
"""Creating an Employee ad"""
<|body_0|>
def get(self):
"""Getting All employees"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
employee_schema = EmployeeSchema()
employee_data = request.get_json()
vali... | stack_v2_sparse_classes_75kplus_train_065757 | 3,201 | no_license | [
{
"docstring": "Creating an Employee ad",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "Getting All employees",
"name": "get",
"signature": "def get(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010937 | Implement the Python class `EmployeeView` described below.
Class description:
Implement the EmployeeView class.
Method signatures and docstrings:
- def post(self): Creating an Employee ad
- def get(self): Getting All employees | Implement the Python class `EmployeeView` described below.
Class description:
Implement the EmployeeView class.
Method signatures and docstrings:
- def post(self): Creating an Employee ad
- def get(self): Getting All employees
<|skeleton|>
class EmployeeView:
def post(self):
"""Creating an Employee ad""... | 015d70b8f79df6c1a5629add35767cee52f424f5 | <|skeleton|>
class EmployeeView:
def post(self):
"""Creating an Employee ad"""
<|body_0|>
def get(self):
"""Getting All employees"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmployeeView:
def post(self):
"""Creating an Employee ad"""
employee_schema = EmployeeSchema()
employee_data = request.get_json()
validated_employee_data, errors = employee_schema.load(employee_data)
if errors:
return (dict(status='fail', message=errors), 40... | the_stack_v2_python_sparse | app/controllers/employee.py | MutegekiHenry/project-cohort-backend | train | 0 | |
91f0b1ad868614320f65d62713e4db67ec6b3fda | [
"self.structure = structure\nself.element = element\nsga = SpacegroupAnalyzer(self.structure)\nself.symm_structure = sga.get_symmetrized_structure()\nself.equiv_sub = []\nfor equiv_site_set in list(self.symm_structure.equivalent_sites):\n vac_site = equiv_site_set[0]\n if isinstance(element, str):\n va... | <|body_start_0|>
self.structure = structure
self.element = element
sga = SpacegroupAnalyzer(self.structure)
self.symm_structure = sga.get_symmetrized_structure()
self.equiv_sub = []
for equiv_site_set in list(self.symm_structure.equivalent_sites):
vac_site = e... | Simple generator for substitution based on periodically equivalent sites | SubstitutionGenerator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubstitutionGenerator:
"""Simple generator for substitution based on periodically equivalent sites"""
def __init__(self, structure, element):
"""Initializes a Substitution Generator note: an Antisite is considered a type of substitution Args: structure(Structure): pymatgen structure ... | stack_v2_sparse_classes_75kplus_train_065758 | 10,935 | permissive | [
{
"docstring": "Initializes a Substitution Generator note: an Antisite is considered a type of substitution Args: structure(Structure): pymatgen structure object element (str or Element or Specie): element for the substitution",
"name": "__init__",
"signature": "def __init__(self, structure, element)"
... | 2 | stack_v2_sparse_classes_30k_train_028804 | Implement the Python class `SubstitutionGenerator` described below.
Class description:
Simple generator for substitution based on periodically equivalent sites
Method signatures and docstrings:
- def __init__(self, structure, element): Initializes a Substitution Generator note: an Antisite is considered a type of sub... | Implement the Python class `SubstitutionGenerator` described below.
Class description:
Simple generator for substitution based on periodically equivalent sites
Method signatures and docstrings:
- def __init__(self, structure, element): Initializes a Substitution Generator note: an Antisite is considered a type of sub... | 62ecae1c7382a41861e3a5d9b9c8dd1207472409 | <|skeleton|>
class SubstitutionGenerator:
"""Simple generator for substitution based on periodically equivalent sites"""
def __init__(self, structure, element):
"""Initializes a Substitution Generator note: an Antisite is considered a type of substitution Args: structure(Structure): pymatgen structure ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubstitutionGenerator:
"""Simple generator for substitution based on periodically equivalent sites"""
def __init__(self, structure, element):
"""Initializes a Substitution Generator note: an Antisite is considered a type of substitution Args: structure(Structure): pymatgen structure object elemen... | the_stack_v2_python_sparse | pymatgen/analysis/defects/generators.py | montoyjh/pymatgen | train | 2 |
da1d467ca18ea0d04a14302652ec12a89507b60f | [
"QWidget.__init__(self)\nself.layout = QVBoxLayout(self)\nself.tabs = QTabWidget()\nself.tabs.setFixedSize(700, 700)\nself.layout.addWidget(self.tabs)\nself.setLayout(self.layout)\nself.tabs.currentChanged.connect(self._update_mode)\nconfigs = MechOS_Network_Configs(MECHOS_CONFIG_FILE_PATH)._get_network_parameters(... | <|body_start_0|>
QWidget.__init__(self)
self.layout = QVBoxLayout(self)
self.tabs = QTabWidget()
self.tabs.setFixedSize(700, 700)
self.layout.addWidget(self.tabs)
self.setLayout(self.layout)
self.tabs.currentChanged.connect(self._update_mode)
configs = Mec... | Tabbed_Display | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tabbed_Display:
def __init__(self):
"""Initializes a Tabbed Display widget. Parameters: individual_tab: The individual_tab Qwidget"""
<|body_0|>
def add_tab(self, widget, title):
"""Creates a new tab and adds a Qwidget to it. Parameters: widget: The Qwidget to be dis... | stack_v2_sparse_classes_75kplus_train_065759 | 3,833 | permissive | [
{
"docstring": "Initializes a Tabbed Display widget. Parameters: individual_tab: The individual_tab Qwidget",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Creates a new tab and adds a Qwidget to it. Parameters: widget: The Qwidget to be displayed. title: (string) The ... | 3 | stack_v2_sparse_classes_30k_train_018161 | Implement the Python class `Tabbed_Display` described below.
Class description:
Implement the Tabbed_Display class.
Method signatures and docstrings:
- def __init__(self): Initializes a Tabbed Display widget. Parameters: individual_tab: The individual_tab Qwidget
- def add_tab(self, widget, title): Creates a new tab ... | Implement the Python class `Tabbed_Display` described below.
Class description:
Implement the Tabbed_Display class.
Method signatures and docstrings:
- def __init__(self): Initializes a Tabbed Display widget. Parameters: individual_tab: The individual_tab Qwidget
- def add_tab(self, widget, title): Creates a new tab ... | 26b476e1c8743f422c5affea744234e6322d4f59 | <|skeleton|>
class Tabbed_Display:
def __init__(self):
"""Initializes a Tabbed Display widget. Parameters: individual_tab: The individual_tab Qwidget"""
<|body_0|>
def add_tab(self, widget, title):
"""Creates a new tab and adds a Qwidget to it. Parameters: widget: The Qwidget to be dis... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Tabbed_Display:
def __init__(self):
"""Initializes a Tabbed Display widget. Parameters: individual_tab: The individual_tab Qwidget"""
QWidget.__init__(self)
self.layout = QVBoxLayout(self)
self.tabs = QTabWidget()
self.tabs.setFixedSize(700, 700)
self.layout.add... | the_stack_v2_python_sparse | GUI/Src/tabbed_display_widget.py | senseishafi/mechatronics-2019 | train | 0 | |
ab94f16c112ea2ba2bcfa23b7bdcbc27b921edcb | [
"levels = []\nif not root:\n return levels\n\ndef helper(node, level):\n if len(levels) == level:\n levels.append([])\n levels[level].append(node.val)\n if node.left:\n helper(node.left, level + 1)\n if node.right:\n helper(node.right, level + 1)\nhelper(root, 0)\nreturn levels",... | <|body_start_0|>
levels = []
if not root:
return levels
def helper(node, level):
if len(levels) == level:
levels.append([])
levels[level].append(node.val)
if node.left:
helper(node.left, level + 1)
if no... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def levelOrder(self, root: TreeNode) -> list[list[int]]:
"""使用递归的方式层次遍历，并标记每一层的level :param root: :return:"""
<|body_0|>
def levelOrder2(self, root):
"""使用迭代的方式层次遍历 :param root: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
leve... | stack_v2_sparse_classes_75kplus_train_065760 | 3,139 | no_license | [
{
"docstring": "使用递归的方式层次遍历，并标记每一层的level :param root: :return:",
"name": "levelOrder",
"signature": "def levelOrder(self, root: TreeNode) -> list[list[int]]"
},
{
"docstring": "使用迭代的方式层次遍历 :param root: :return:",
"name": "levelOrder2",
"signature": "def levelOrder2(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042931 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def levelOrder(self, root: TreeNode) -> list[list[int]]: 使用递归的方式层次遍历，并标记每一层的level :param root: :return:
- def levelOrder2(self, root): 使用迭代的方式层次遍历 :param root: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def levelOrder(self, root: TreeNode) -> list[list[int]]: 使用递归的方式层次遍历，并标记每一层的level :param root: :return:
- def levelOrder2(self, root): 使用迭代的方式层次遍历 :param root: :return:
<|skelet... | ab998462d7f59409a57ef3dc9437ddfcfde177e1 | <|skeleton|>
class Solution:
def levelOrder(self, root: TreeNode) -> list[list[int]]:
"""使用递归的方式层次遍历，并标记每一层的level :param root: :return:"""
<|body_0|>
def levelOrder2(self, root):
"""使用迭代的方式层次遍历 :param root: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def levelOrder(self, root: TreeNode) -> list[list[int]]:
"""使用递归的方式层次遍历，并标记每一层的level :param root: :return:"""
levels = []
if not root:
return levels
def helper(node, level):
if len(levels) == level:
levels.append([])
... | the_stack_v2_python_sparse | leetcode/tree/LevelOrder.py | technologyMz/Python_DS | train | 0 | |
3175f5221d0141c62e7acd77f0a5cfeff02ae166 | [
"self.driver.get('http://www.baidu.com')\nself.driver.set_window_size(600, 600)\nself.driver.find_element_by_id('kw').send_keys('selenium')\nself.driver.find_element_by_id('su').click()\nsleep(3)\njs = 'window.scrollTo(100,450);'\nself.driver.execute_script(js)\nsleep(3)",
"self.driver.get('http://videojs.com/')\... | <|body_start_0|>
self.driver.get('http://www.baidu.com')
self.driver.set_window_size(600, 600)
self.driver.find_element_by_id('kw').send_keys('selenium')
self.driver.find_element_by_id('su').click()
sleep(3)
js = 'window.scrollTo(100,450);'
self.driver.execute_scr... | JS_Test | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JS_Test:
def scroll_test(self):
"""利用js拖动滚动条 :return:"""
<|body_0|>
def watch_video_test(self):
"""调用js播放视频 JavaScript函数内置一个arguments对象，包含了函数调用的参数数组 load()、play()、pause()控制视频的加载、播放、暂停 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.dri... | stack_v2_sparse_classes_75kplus_train_065761 | 1,474 | no_license | [
{
"docstring": "利用js拖动滚动条 :return:",
"name": "scroll_test",
"signature": "def scroll_test(self)"
},
{
"docstring": "调用js播放视频 JavaScript函数内置一个arguments对象，包含了函数调用的参数数组 load()、play()、pause()控制视频的加载、播放、暂停 :return:",
"name": "watch_video_test",
"signature": "def watch_video_test(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003866 | Implement the Python class `JS_Test` described below.
Class description:
Implement the JS_Test class.
Method signatures and docstrings:
- def scroll_test(self): 利用js拖动滚动条 :return:
- def watch_video_test(self): 调用js播放视频 JavaScript函数内置一个arguments对象，包含了函数调用的参数数组 load()、play()、pause()控制视频的加载、播放、暂停 :return: | Implement the Python class `JS_Test` described below.
Class description:
Implement the JS_Test class.
Method signatures and docstrings:
- def scroll_test(self): 利用js拖动滚动条 :return:
- def watch_video_test(self): 调用js播放视频 JavaScript函数内置一个arguments对象，包含了函数调用的参数数组 load()、play()、pause()控制视频的加载、播放、暂停 :return:
<|skeleton|>
... | 8be80db20810b443909c63c47293d25b41561495 | <|skeleton|>
class JS_Test:
def scroll_test(self):
"""利用js拖动滚动条 :return:"""
<|body_0|>
def watch_video_test(self):
"""调用js播放视频 JavaScript函数内置一个arguments对象，包含了函数调用的参数数组 load()、play()、pause()控制视频的加载、播放、暂停 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JS_Test:
def scroll_test(self):
"""利用js拖动滚动条 :return:"""
self.driver.get('http://www.baidu.com')
self.driver.set_window_size(600, 600)
self.driver.find_element_by_id('kw').send_keys('selenium')
self.driver.find_element_by_id('su').click()
sleep(3)
js = '... | the_stack_v2_python_sparse | testcase/js_case.py | JialeeChen/selenium-python | train | 0 | |
f51abd339f1674e42954e5fbddcd72c04af46c82 | [
"super().__init__(jobs_limit=jobs_limit)\nself.blur = 5\nself.threshold_block = 11\nself.threshold_val = 8",
"pre_processed_image = cv2.resize(img, None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)\nif self.blur:\n pre_processed_image = cv2.medianBlur(pre_processed_image, self.blur)\npre_processed_image = cv2.... | <|body_start_0|>
super().__init__(jobs_limit=jobs_limit)
self.blur = 5
self.threshold_block = 11
self.threshold_val = 8
<|end_body_0|>
<|body_start_1|>
pre_processed_image = cv2.resize(img, None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)
if self.blur:
pre_p... | Ocr | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ocr:
def __init__(self, jobs_limit=0):
"""Description -- Initializes the instance. Parameters -- - jobs_limit - (see base)"""
<|body_0|>
def _pre_process_image(self, img):
"""Description -- Pre-processes the image, for better OCR. Parameters -- - img - the image Retu... | stack_v2_sparse_classes_75kplus_train_065762 | 2,298 | no_license | [
{
"docstring": "Description -- Initializes the instance. Parameters -- - jobs_limit - (see base)",
"name": "__init__",
"signature": "def __init__(self, jobs_limit=0)"
},
{
"docstring": "Description -- Pre-processes the image, for better OCR. Parameters -- - img - the image Returns -- The process... | 3 | stack_v2_sparse_classes_30k_train_028437 | Implement the Python class `Ocr` described below.
Class description:
Implement the Ocr class.
Method signatures and docstrings:
- def __init__(self, jobs_limit=0): Description -- Initializes the instance. Parameters -- - jobs_limit - (see base)
- def _pre_process_image(self, img): Description -- Pre-processes the ima... | Implement the Python class `Ocr` described below.
Class description:
Implement the Ocr class.
Method signatures and docstrings:
- def __init__(self, jobs_limit=0): Description -- Initializes the instance. Parameters -- - jobs_limit - (see base)
- def _pre_process_image(self, img): Description -- Pre-processes the ima... | cb8fc9a55ddb8256ffa2503f88971ef06c99058e | <|skeleton|>
class Ocr:
def __init__(self, jobs_limit=0):
"""Description -- Initializes the instance. Parameters -- - jobs_limit - (see base)"""
<|body_0|>
def _pre_process_image(self, img):
"""Description -- Pre-processes the image, for better OCR. Parameters -- - img - the image Retu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Ocr:
def __init__(self, jobs_limit=0):
"""Description -- Initializes the instance. Parameters -- - jobs_limit - (see base)"""
super().__init__(jobs_limit=jobs_limit)
self.blur = 5
self.threshold_block = 11
self.threshold_val = 8
def _pre_process_image(self, img):
... | the_stack_v2_python_sparse | workers/ocr.py | hyankov/anpr | train | 0 | |
1b987b56b532baf21f873e389a899c11189d7f2a | [
"self.resource_name = str_id\nCDevice.__init__(self, self.resource_name)\nself.obj_parent = obj_device\nself.set_logger(self.obj_parent.obj_logger)\nself.set_rest_agent(self.obj_parent.obj_rest_agent)\nself.str_device_type = self.obj_parent.str_device_type\nif str_id.lower() == 'active':\n self.uri = '{}/{}'.for... | <|body_start_0|>
self.resource_name = str_id
CDevice.__init__(self, self.resource_name)
self.obj_parent = obj_device
self.set_logger(self.obj_parent.obj_logger)
self.set_rest_agent(self.obj_parent.obj_rest_agent)
self.str_device_type = self.obj_parent.str_device_type
... | CWorkflow | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CWorkflow:
def __init__(self, obj_device, str_id):
"""@param obj_device: Parent device that init this one @type obj_device: CDevice"""
<|body_0|>
def update(self):
"""Update monorail data of self"""
<|body_1|>
def set_mon_data(self, dict_data):
"... | stack_v2_sparse_classes_75kplus_train_065763 | 6,944 | no_license | [
{
"docstring": "@param obj_device: Parent device that init this one @type obj_device: CDevice",
"name": "__init__",
"signature": "def __init__(self, obj_device, str_id)"
},
{
"docstring": "Update monorail data of self",
"name": "update",
"signature": "def update(self)"
},
{
"docs... | 5 | stack_v2_sparse_classes_30k_train_015045 | Implement the Python class `CWorkflow` described below.
Class description:
Implement the CWorkflow class.
Method signatures and docstrings:
- def __init__(self, obj_device, str_id): @param obj_device: Parent device that init this one @type obj_device: CDevice
- def update(self): Update monorail data of self
- def set... | Implement the Python class `CWorkflow` described below.
Class description:
Implement the CWorkflow class.
Method signatures and docstrings:
- def __init__(self, obj_device, str_id): @param obj_device: Parent device that init this one @type obj_device: CDevice
- def update(self): Update monorail data of self
- def set... | 8290fc0ccbde0a6a7d8784aec04c88cc325cfa4c | <|skeleton|>
class CWorkflow:
def __init__(self, obj_device, str_id):
"""@param obj_device: Parent device that init this one @type obj_device: CDevice"""
<|body_0|>
def update(self):
"""Update monorail data of self"""
<|body_1|>
def set_mon_data(self, dict_data):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CWorkflow:
def __init__(self, obj_device, str_id):
"""@param obj_device: Parent device that init this one @type obj_device: CDevice"""
self.resource_name = str_id
CDevice.__init__(self, self.resource_name)
self.obj_parent = obj_device
self.set_logger(self.obj_parent.obj... | the_stack_v2_python_sparse | idic/monorail/Workflow.py | InfraSIM/test | train | 1 | |
2411ad3b42f97c779b0e43215cb4d50a607a17e3 | [
"curindox = lastindox = len(nums) - 1\nwhile curindox >= 0:\n if nums[curindox] == 0:\n count = lastindox - curindox\n for i in range(count):\n nums[curindox + i] = nums[curindox + i + 1]\n nums[lastindox] = 0\n lastindox -= 1\n curindox -= 1",
"j = 0\nfor i in range(l... | <|body_start_0|>
curindox = lastindox = len(nums) - 1
while curindox >= 0:
if nums[curindox] == 0:
count = lastindox - curindox
for i in range(count):
nums[curindox + i] = nums[curindox + i + 1]
nums[lastindox] = 0
... | 算法：利用两个索引，curindox向前移动，与lastindox计算差值前移 | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""算法：利用两个索引，curindox向前移动，与lastindox计算差值前移"""
def moveZeroes1(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def moveZeroes2(self, nums):
""":type nums: List[int] :rtype: void Do no... | stack_v2_sparse_classes_75kplus_train_065764 | 1,385 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.",
"name": "moveZeroes1",
"signature": "def moveZeroes1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.",
"name": "... | 2 | null | Implement the Python class `Solution` described below.
Class description:
算法：利用两个索引，curindox向前移动，与lastindox计算差值前移
Method signatures and docstrings:
- def moveZeroes1(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.
- def moveZeroes2(self, nums): :type nums: List[in... | Implement the Python class `Solution` described below.
Class description:
算法：利用两个索引，curindox向前移动，与lastindox计算差值前移
Method signatures and docstrings:
- def moveZeroes1(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.
- def moveZeroes2(self, nums): :type nums: List[in... | e9b18cdd8c3ec49c14284a1feb1fbff9409dd40c | <|skeleton|>
class Solution:
"""算法：利用两个索引，curindox向前移动，与lastindox计算差值前移"""
def moveZeroes1(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def moveZeroes2(self, nums):
""":type nums: List[int] :rtype: void Do no... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""算法：利用两个索引，curindox向前移动，与lastindox计算差值前移"""
def moveZeroes1(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
curindox = lastindox = len(nums) - 1
while curindox >= 0:
if nums[curindox] == 0:
... | the_stack_v2_python_sparse | leetcode/283_moveZeros.py | 2B-people/2B-repositery | train | 0 |
144e8bc464940711e49ac8ebb9f2c70f375f85c3 | [
"n = len(nums)\nk = k % n\nnums[:] = nums[n - k:] + nums[:n - k]\nreturn nums",
"if len(nums) <= k:\n nums.reverse()\n return nums\nnums.reverse()\nnumk, nume = (nums[:k], nums[k:])\nnumk.reverse()\nnume.reverse()\nnums[:k] = numk\nnums[k:] = nume\nreturn nums"
] | <|body_start_0|>
n = len(nums)
k = k % n
nums[:] = nums[n - k:] + nums[:n - k]
return nums
<|end_body_0|>
<|body_start_1|>
if len(nums) <= k:
nums.reverse()
return nums
nums.reverse()
numk, nume = (nums[:k], nums[k:])
numk.reverse(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotate(self, nums, k):
"""国外大神 几行代码解决，果然是大神，但是没看懂"""
<|body_0|>
def rotate1(self, nums, k):
"""反转更好理解一点点,但是代码有问题，执行不成功"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(nums)
k = k % n
nums[:] = nums[n - k:] + num... | stack_v2_sparse_classes_75kplus_train_065765 | 2,277 | no_license | [
{
"docstring": "国外大神 几行代码解决，果然是大神，但是没看懂",
"name": "rotate",
"signature": "def rotate(self, nums, k)"
},
{
"docstring": "反转更好理解一点点,但是代码有问题，执行不成功",
"name": "rotate1",
"signature": "def rotate1(self, nums, k)"
}
] | 2 | stack_v2_sparse_classes_30k_train_028351 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, nums, k): 国外大神 几行代码解决，果然是大神，但是没看懂
- def rotate1(self, nums, k): 反转更好理解一点点,但是代码有问题，执行不成功 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, nums, k): 国外大神 几行代码解决，果然是大神，但是没看懂
- def rotate1(self, nums, k): 反转更好理解一点点,但是代码有问题，执行不成功
<|skeleton|>
class Solution:
def rotate(self, nums, k):
"""... | 069bb0b751ef7f469036b9897436eb5d138ffa24 | <|skeleton|>
class Solution:
def rotate(self, nums, k):
"""国外大神 几行代码解决，果然是大神，但是没看懂"""
<|body_0|>
def rotate1(self, nums, k):
"""反转更好理解一点点,但是代码有问题，执行不成功"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def rotate(self, nums, k):
"""国外大神 几行代码解决，果然是大神，但是没看懂"""
n = len(nums)
k = k % n
nums[:] = nums[n - k:] + nums[:n - k]
return nums
def rotate1(self, nums, k):
"""反转更好理解一点点,但是代码有问题，执行不成功"""
if len(nums) <= k:
nums.reverse()
... | the_stack_v2_python_sparse | 算法/Week_01/189. 旋转数组.py | RichieSong/algorithm | train | 0 | |
1f8e8074a6049cddad32684c5d32f90b3616292e | [
"if not root:\n return ''\nqueue = deque([root])\nserialized = []\nwhile queue:\n node = queue.popleft()\n if not node:\n serialized.append('null')\n else:\n serialized.append(str(node.val))\n queue.append(node.left)\n queue.append(node.right)\nreturn ','.join(serialized)",
... | <|body_start_0|>
if not root:
return ''
queue = deque([root])
serialized = []
while queue:
node = queue.popleft()
if not node:
serialized.append('null')
else:
serialized.append(str(node.val))
... | 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_75kplus_train_065766 | 1,834 | 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_019968 | 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:... | 51b379b1be406cd27c92f26f44633c87360c7de3 | <|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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return ''
queue = deque([root])
serialized = []
while queue:
node = queue.popleft()
if not node:
... | the_stack_v2_python_sparse | LC/297/297-py3.py | albertopha/ds-algo | train | 2 | |
effa15905cfcda53d25cced9f62bbf9117b21b23 | [
"params_is_str = isinstance(key_str, str) and isinstance(data, str)\nif params_is_str:\n key_md5 = MD5.new()\n key_md5.update(bytes(key_str, 'utf-8'))\n key_str = key_md5.hexdigest()\n iv_str = key_str[2:18]\n padding = '\\x00'\n pad_it = lambda s: s + (16 - len(bytes(s, 'utf-8')) % 16) * padding\... | <|body_start_0|>
params_is_str = isinstance(key_str, str) and isinstance(data, str)
if params_is_str:
key_md5 = MD5.new()
key_md5.update(bytes(key_str, 'utf-8'))
key_str = key_md5.hexdigest()
iv_str = key_str[2:18]
padding = '\x00'
... | 给出一种CBC加密和解密方法 | CBC | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CBC:
"""给出一种CBC加密和解密方法"""
def crypt(key_str, data):
"""将给定字符串加密 Parameters: :key_str: 用于加密的密钥 :data: 要被加密的字符串 Returns: :crypted_str: 加密后的数据的base64编码"""
<|body_0|>
def decrypt(key_str, data):
"""将给定加密后的字符串解密 Parameters: :key_str: 用于解密的密钥 :data: 加密后的base64字符串 Retur... | stack_v2_sparse_classes_75kplus_train_065767 | 21,831 | permissive | [
{
"docstring": "将给定字符串加密 Parameters: :key_str: 用于加密的密钥 :data: 要被加密的字符串 Returns: :crypted_str: 加密后的数据的base64编码",
"name": "crypt",
"signature": "def crypt(key_str, data)"
},
{
"docstring": "将给定加密后的字符串解密 Parameters: :key_str: 用于解密的密钥 :data: 加密后的base64字符串 Returns: :recovery_str: 解密后的字符串",
"name"... | 2 | stack_v2_sparse_classes_30k_train_003019 | Implement the Python class `CBC` described below.
Class description:
给出一种CBC加密和解密方法
Method signatures and docstrings:
- def crypt(key_str, data): 将给定字符串加密 Parameters: :key_str: 用于加密的密钥 :data: 要被加密的字符串 Returns: :crypted_str: 加密后的数据的base64编码
- def decrypt(key_str, data): 将给定加密后的字符串解密 Parameters: :key_str: 用于解密的密钥 :data... | Implement the Python class `CBC` described below.
Class description:
给出一种CBC加密和解密方法
Method signatures and docstrings:
- def crypt(key_str, data): 将给定字符串加密 Parameters: :key_str: 用于加密的密钥 :data: 要被加密的字符串 Returns: :crypted_str: 加密后的数据的base64编码
- def decrypt(key_str, data): 将给定加密后的字符串解密 Parameters: :key_str: 用于解密的密钥 :data... | f8c8d6d55dd1806d1d4e5eec3170aaaa4bdf4018 | <|skeleton|>
class CBC:
"""给出一种CBC加密和解密方法"""
def crypt(key_str, data):
"""将给定字符串加密 Parameters: :key_str: 用于加密的密钥 :data: 要被加密的字符串 Returns: :crypted_str: 加密后的数据的base64编码"""
<|body_0|>
def decrypt(key_str, data):
"""将给定加密后的字符串解密 Parameters: :key_str: 用于解密的密钥 :data: 加密后的base64字符串 Retur... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CBC:
"""给出一种CBC加密和解密方法"""
def crypt(key_str, data):
"""将给定字符串加密 Parameters: :key_str: 用于加密的密钥 :data: 要被加密的字符串 Returns: :crypted_str: 加密后的数据的base64编码"""
params_is_str = isinstance(key_str, str) and isinstance(data, str)
if params_is_str:
key_md5 = MD5.new()
... | the_stack_v2_python_sparse | api/utils.py | CSshengxy/codegame | train | 0 |
f6a9da15cd7d656815adf5d4625f848a44487e39 | [
"if la:\n return la.size() ** 2 + la[0]\nelse:\n return 0",
"if sexpr == 0:\n return self(0)\nif sexpr.support() == [[]]:\n return self._from_dict({self.one_basis(): sexpr.coefficient([])}, remove_zeros=False)\nout = self.zero()\nwhile sexpr:\n mup = max(sexpr.support(), key=self._my_key)\n out ... | <|body_start_0|>
if la:
return la.size() ** 2 + la[0]
else:
return 0
<|end_body_0|>
<|body_start_1|>
if sexpr == 0:
return self(0)
if sexpr.support() == [[]]:
return self._from_dict({self.one_basis(): sexpr.coefficient([])}, remove_zeros=F... | generic_character | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class generic_character:
def _my_key(self, la):
"""A rank function for partitions. The leading term of a homogeneous expression will be the partition with the largest key value. This key value is `|\\lambda|^2 + \\lambda_0` and using the ``max`` function on a list of Partitions. Of course it i... | stack_v2_sparse_classes_75kplus_train_065768 | 16,482 | no_license | [
{
"docstring": "A rank function for partitions. The leading term of a homogeneous expression will be the partition with the largest key value. This key value is `|\\\\lambda|^2 + \\\\lambda_0` and using the ``max`` function on a list of Partitions. Of course it is possible that this rank function is equal for s... | 2 | stack_v2_sparse_classes_30k_train_003873 | Implement the Python class `generic_character` described below.
Class description:
Implement the generic_character class.
Method signatures and docstrings:
- def _my_key(self, la): A rank function for partitions. The leading term of a homogeneous expression will be the partition with the largest key value. This key v... | Implement the Python class `generic_character` described below.
Class description:
Implement the generic_character class.
Method signatures and docstrings:
- def _my_key(self, la): A rank function for partitions. The leading term of a homogeneous expression will be the partition with the largest key value. This key v... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class generic_character:
def _my_key(self, la):
"""A rank function for partitions. The leading term of a homogeneous expression will be the partition with the largest key value. This key value is `|\\lambda|^2 + \\lambda_0` and using the ``max`` function on a list of Partitions. Of course it i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class generic_character:
def _my_key(self, la):
"""A rank function for partitions. The leading term of a homogeneous expression will be the partition with the largest key value. This key value is `|\\lambda|^2 + \\lambda_0` and using the ``max`` function on a list of Partitions. Of course it is possible tha... | the_stack_v2_python_sparse | sage/src/sage/combinat/sf/character.py | bopopescu/geosci | train | 0 | |
b8534b94aa3a1393bab2e9f4abc7fa871e89e733 | [
"super().__init__(dev_id, dev_name, description)\nself._scale_min = scale_min\nself._scale_max = scale_max\nself.range_from = range_from\nself.range_to = range_to",
"if packet.data[0] != 165:\n return\ntemp_scale = self._scale_max - self._scale_min\ntemp_range = self.range_to - self.range_from\nraw_val = packe... | <|body_start_0|>
super().__init__(dev_id, dev_name, description)
self._scale_min = scale_min
self._scale_max = scale_max
self.range_from = range_from
self.range_to = range_to
<|end_body_0|>
<|body_start_1|>
if packet.data[0] != 165:
return
temp_scale ... | Representation of an EnOcean temperature sensor device. EEPs (EnOcean Equipment Profiles): - A5-02-01 to A5-02-1B All 8 Bit Temperature Sensors of A5-02 - A5-10-01 to A5-10-14 (Room Operating Panels) - A5-04-01 (Temp. and Humidity Sensor, Range 0°C to +40°C and 0% to 100%) - A5-04-02 (Temp. and Humidity Sensor, Range -... | EnOceanTemperatureSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnOceanTemperatureSensor:
"""Representation of an EnOcean temperature sensor device. EEPs (EnOcean Equipment Profiles): - A5-02-01 to A5-02-1B All 8 Bit Temperature Sensors of A5-02 - A5-10-01 to A5-10-14 (Room Operating Panels) - A5-04-01 (Temp. and Humidity Sensor, Range 0°C to +40°C and 0% to ... | stack_v2_sparse_classes_75kplus_train_065769 | 9,398 | permissive | [
{
"docstring": "Initialize the EnOcean temperature sensor device.",
"name": "__init__",
"signature": "def __init__(self, dev_id: list[int], dev_name: str, description: EnOceanSensorEntityDescription, *, scale_min: int, scale_max: int, range_from: int, range_to: int) -> None"
},
{
"docstring": "U... | 2 | stack_v2_sparse_classes_30k_train_025276 | Implement the Python class `EnOceanTemperatureSensor` described below.
Class description:
Representation of an EnOcean temperature sensor device. EEPs (EnOcean Equipment Profiles): - A5-02-01 to A5-02-1B All 8 Bit Temperature Sensors of A5-02 - A5-10-01 to A5-10-14 (Room Operating Panels) - A5-04-01 (Temp. and Humidit... | Implement the Python class `EnOceanTemperatureSensor` described below.
Class description:
Representation of an EnOcean temperature sensor device. EEPs (EnOcean Equipment Profiles): - A5-02-01 to A5-02-1B All 8 Bit Temperature Sensors of A5-02 - A5-10-01 to A5-10-14 (Room Operating Panels) - A5-04-01 (Temp. and Humidit... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class EnOceanTemperatureSensor:
"""Representation of an EnOcean temperature sensor device. EEPs (EnOcean Equipment Profiles): - A5-02-01 to A5-02-1B All 8 Bit Temperature Sensors of A5-02 - A5-10-01 to A5-10-14 (Room Operating Panels) - A5-04-01 (Temp. and Humidity Sensor, Range 0°C to +40°C and 0% to ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EnOceanTemperatureSensor:
"""Representation of an EnOcean temperature sensor device. EEPs (EnOcean Equipment Profiles): - A5-02-01 to A5-02-1B All 8 Bit Temperature Sensors of A5-02 - A5-10-01 to A5-10-14 (Room Operating Panels) - A5-04-01 (Temp. and Humidity Sensor, Range 0°C to +40°C and 0% to 100%) - A5-04... | the_stack_v2_python_sparse | homeassistant/components/enocean/sensor.py | home-assistant/core | train | 35,501 |
37267467e15cc89d4420fa5bc933c08e31f7f41d | [
"if os.path.exists(file):\n self.file = file\nelse:\n sys.exit('Invalid or missing file.')\ntry:\n fasta = pysam.FastxFile(file)\n for record in fasta:\n samplename = re.sub('.primertrimmed.consensus_threshold_0.75_quality_20$', '', record.name)\n samplename = re.sub('^Consensus_', '', sam... | <|body_start_0|>
if os.path.exists(file):
self.file = file
else:
sys.exit('Invalid or missing file.')
try:
fasta = pysam.FastxFile(file)
for record in fasta:
samplename = re.sub('.primertrimmed.consensus_threshold_0.75_quality_20$',... | A class to handle the consensus FASTA file. | Consensus | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Consensus:
"""A class to handle the consensus FASTA file."""
def __init__(self, file):
"""Initialize the Consensus class."""
<|body_0|>
def count_iupac_in_fasta(self):
"""Count the number of IUPAC occurrences in the consensus FASTA file. N is counted as a seperat... | stack_v2_sparse_classes_75kplus_train_065770 | 2,285 | permissive | [
{
"docstring": "Initialize the Consensus class.",
"name": "__init__",
"signature": "def __init__(self, file)"
},
{
"docstring": "Count the number of IUPAC occurrences in the consensus FASTA file. N is counted as a seperate value. Return Value: The function returns an integer representing the num... | 3 | stack_v2_sparse_classes_30k_train_015937 | Implement the Python class `Consensus` described below.
Class description:
A class to handle the consensus FASTA file.
Method signatures and docstrings:
- def __init__(self, file): Initialize the Consensus class.
- def count_iupac_in_fasta(self): Count the number of IUPAC occurrences in the consensus FASTA file. N is... | Implement the Python class `Consensus` described below.
Class description:
A class to handle the consensus FASTA file.
Method signatures and docstrings:
- def __init__(self, file): Initialize the Consensus class.
- def count_iupac_in_fasta(self): Count the number of IUPAC occurrences in the consensus FASTA file. N is... | 9f81f4bda3d1581e666fedebb9f31b066ceefb70 | <|skeleton|>
class Consensus:
"""A class to handle the consensus FASTA file."""
def __init__(self, file):
"""Initialize the Consensus class."""
<|body_0|>
def count_iupac_in_fasta(self):
"""Count the number of IUPAC occurrences in the consensus FASTA file. N is counted as a seperat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Consensus:
"""A class to handle the consensus FASTA file."""
def __init__(self, file):
"""Initialize the Consensus class."""
if os.path.exists(file):
self.file = file
else:
sys.exit('Invalid or missing file.')
try:
fasta = pysam.FastxFil... | the_stack_v2_python_sparse | parser/ncov/parser/Consensus.py | connor-lab/ncov-tools | train | 3 |
6eeb2d6be78771a9465d6d2e7b9be50ccaa4674f | [
"self.num_events = num_events\nself.num_areaperils = num_areaperils\nself.areaperils_per_event = areaperils_per_event\nself.num_intensity_bins = num_intensity_bins\nself.intensity_sparseness = intensity_sparseness\nself.no_intensity_uncertainty = no_intensity_uncertainty\nself.random_seed = random_seed\nself.file_n... | <|body_start_0|>
self.num_events = num_events
self.num_areaperils = num_areaperils
self.areaperils_per_event = areaperils_per_event
self.num_intensity_bins = num_intensity_bins
self.intensity_sparseness = intensity_sparseness
self.no_intensity_uncertainty = no_intensity_u... | Generate data for Footprint binary dummy model file. This file shows the intensity of a given event-areaperil combination. The binary footprint file footprint.bin requires the index file footprint.idx. Attributes: generate_data: Generate Footprint binary dummy model file data. | FootprintBinFile | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FootprintBinFile:
"""Generate data for Footprint binary dummy model file. This file shows the intensity of a given event-areaperil combination. The binary footprint file footprint.bin requires the index file footprint.idx. Attributes: generate_data: Generate Footprint binary dummy model file data... | stack_v2_sparse_classes_75kplus_train_065771 | 39,722 | permissive | [
{
"docstring": "Initialise Footprint binary file class. Args: num_events (int): number of events. num_areaperils (int): number of areaperils. areaperils_per_event (int): number of areaperils impacted per event. num_intensity_bins (int): number of intensity bins. intensity_sparseness (float): percentage of bins ... | 2 | stack_v2_sparse_classes_30k_train_033357 | Implement the Python class `FootprintBinFile` described below.
Class description:
Generate data for Footprint binary dummy model file. This file shows the intensity of a given event-areaperil combination. The binary footprint file footprint.bin requires the index file footprint.idx. Attributes: generate_data: Generate... | Implement the Python class `FootprintBinFile` described below.
Class description:
Generate data for Footprint binary dummy model file. This file shows the intensity of a given event-areaperil combination. The binary footprint file footprint.bin requires the index file footprint.idx. Attributes: generate_data: Generate... | 23e704c335629ccd010969b1090446cfa3f384d5 | <|skeleton|>
class FootprintBinFile:
"""Generate data for Footprint binary dummy model file. This file shows the intensity of a given event-areaperil combination. The binary footprint file footprint.bin requires the index file footprint.idx. Attributes: generate_data: Generate Footprint binary dummy model file data... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FootprintBinFile:
"""Generate data for Footprint binary dummy model file. This file shows the intensity of a given event-areaperil combination. The binary footprint file footprint.bin requires the index file footprint.idx. Attributes: generate_data: Generate Footprint binary dummy model file data."""
def... | the_stack_v2_python_sparse | oasislmf/computation/data/dummy_model/generate.py | OasisLMF/OasisLMF | train | 122 |
0899d02f195a62538265011b181aa54b3d4bf621 | [
"super().__init__(**kwargs)\nself.frame_length = frame_length\nself.frame_step = frame_step\nself.fft_length = fft_length\nself.linear_to_mel_weight_matrix = tf.signal.linear_to_mel_weight_matrix(n_mels, fft_length // 2 + 1, sample_rate, f_min, f_max)",
"stfts = tf.signal.stft(signals, frame_length=self.frame_len... | <|body_start_0|>
super().__init__(**kwargs)
self.frame_length = frame_length
self.frame_step = frame_step
self.fft_length = fft_length
self.linear_to_mel_weight_matrix = tf.signal.linear_to_mel_weight_matrix(n_mels, fft_length // 2 + 1, sample_rate, f_min, f_max)
<|end_body_0|>
... | Mel Spectrogram loss. | TFMelSpectrogram | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TFMelSpectrogram:
"""Mel Spectrogram loss."""
def __init__(self, n_mels=80, f_min=80.0, f_max=7600, frame_length=1024, frame_step=256, fft_length=1024, sample_rate=16000, **kwargs):
"""Initialize."""
<|body_0|>
def _calculate_log_mels_spectrogram(self, signals):
... | stack_v2_sparse_classes_75kplus_train_065772 | 2,697 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, n_mels=80, f_min=80.0, f_max=7600, frame_length=1024, frame_step=256, fft_length=1024, sample_rate=16000, **kwargs)"
},
{
"docstring": "Calculate forward propagation. Args: signals (Tensor): signal (B, T). Returns... | 3 | stack_v2_sparse_classes_30k_train_020760 | Implement the Python class `TFMelSpectrogram` described below.
Class description:
Mel Spectrogram loss.
Method signatures and docstrings:
- def __init__(self, n_mels=80, f_min=80.0, f_max=7600, frame_length=1024, frame_step=256, fft_length=1024, sample_rate=16000, **kwargs): Initialize.
- def _calculate_log_mels_spec... | Implement the Python class `TFMelSpectrogram` described below.
Class description:
Mel Spectrogram loss.
Method signatures and docstrings:
- def __init__(self, n_mels=80, f_min=80.0, f_max=7600, frame_length=1024, frame_step=256, fft_length=1024, sample_rate=16000, **kwargs): Initialize.
- def _calculate_log_mels_spec... | 136877136355c82d7ba474ceb7a8f133bd84767e | <|skeleton|>
class TFMelSpectrogram:
"""Mel Spectrogram loss."""
def __init__(self, n_mels=80, f_min=80.0, f_max=7600, frame_length=1024, frame_step=256, fft_length=1024, sample_rate=16000, **kwargs):
"""Initialize."""
<|body_0|>
def _calculate_log_mels_spectrogram(self, signals):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TFMelSpectrogram:
"""Mel Spectrogram loss."""
def __init__(self, n_mels=80, f_min=80.0, f_max=7600, frame_length=1024, frame_step=256, fft_length=1024, sample_rate=16000, **kwargs):
"""Initialize."""
super().__init__(**kwargs)
self.frame_length = frame_length
self.frame_st... | the_stack_v2_python_sparse | tensorflow_tts/losses/spectrogram.py | TensorSpeech/TensorFlowTTS | train | 2,889 |
eb8383fe8408d5aa9e8bbb13cd9de9343aa49052 | [
"if self._pool_paths is None:\n self._pool_paths = self.data_glob(self.test_dir, 'pools', glob='*.csv')\nreturn self._pool_paths",
"if self._truth_paths is None:\n self._truth_paths = self.data_glob(*self.ref_loc, glob='*.json')\nreturn self._truth_paths"
] | <|body_start_0|>
if self._pool_paths is None:
self._pool_paths = self.data_glob(self.test_dir, 'pools', glob='*.csv')
return self._pool_paths
<|end_body_0|>
<|body_start_1|>
if self._truth_paths is None:
self._truth_paths = self.data_glob(*self.ref_loc, glob='*.json')
... | Retreive the SDP pools from the test data source These tests are very much tied to using `pytest` and the `ci-watson` plugin. In particular, there are references to `pytest.config` that only exist when running under pytest. Such references are stubbed out with best defaults used. | SDPPoolsSource | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SDPPoolsSource:
"""Retreive the SDP pools from the test data source These tests are very much tied to using `pytest` and the `ci-watson` plugin. In particular, there are references to `pytest.config` that only exist when running under pytest. Such references are stubbed out with best defaults use... | stack_v2_sparse_classes_75kplus_train_065773 | 1,499 | permissive | [
{
"docstring": "Get the association pools",
"name": "pool_paths",
"signature": "def pool_paths(self)"
},
{
"docstring": "Get the truth associations",
"name": "truth_paths",
"signature": "def truth_paths(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000657 | Implement the Python class `SDPPoolsSource` described below.
Class description:
Retreive the SDP pools from the test data source These tests are very much tied to using `pytest` and the `ci-watson` plugin. In particular, there are references to `pytest.config` that only exist when running under pytest. Such references... | Implement the Python class `SDPPoolsSource` described below.
Class description:
Retreive the SDP pools from the test data source These tests are very much tied to using `pytest` and the `ci-watson` plugin. In particular, there are references to `pytest.config` that only exist when running under pytest. Such references... | bc10af678e2e5ba7d3fad54141938f5de3713c02 | <|skeleton|>
class SDPPoolsSource:
"""Retreive the SDP pools from the test data source These tests are very much tied to using `pytest` and the `ci-watson` plugin. In particular, there are references to `pytest.config` that only exist when running under pytest. Such references are stubbed out with best defaults use... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SDPPoolsSource:
"""Retreive the SDP pools from the test data source These tests are very much tied to using `pytest` and the `ci-watson` plugin. In particular, there are references to `pytest.config` that only exist when running under pytest. Such references are stubbed out with best defaults used."""
de... | the_stack_v2_python_sparse | jwst/regtest/sdp_pools_source.py | rizeladiaz/jwst | train | 0 |
ede72c094b46a27d9285866842aaca7636be4806 | [
"n = len(s)\nstack = [-1]\nans = 0\nfor i in range(n):\n if s[i] == '(':\n stack.append(i)\n continue\n else:\n stack.pop()\n if not stack:\n stack.append(i)\n else:\n ans = max(ans, i - stack[-1])\nreturn ans",
"n = len(s)\nif n == 0:\n return 0\ndp = [0] * n\nfo... | <|body_start_0|>
n = len(s)
stack = [-1]
ans = 0
for i in range(n):
if s[i] == '(':
stack.append(i)
continue
else:
stack.pop()
if not stack:
stack.append(i)
else:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s: str) -> int:
"""栈解法： 初始化：栈为-1，避免当第一个字符就是），出栈没有元素报错；同时避免所有括号全部匹配时候计算长度少1. 入栈条件：当前括号为左括号 出栈条件：当前括号为右括号 计算子串长度条件：当前栈不为空，栈内有元素 计算方法：当前元素 - 栈底元素 并且更新最大值 :param s: :return:"""
<|body_0|>
def longestValidParentheses2(self, s: str) -> i... | stack_v2_sparse_classes_75kplus_train_065774 | 1,790 | no_license | [
{
"docstring": "栈解法： 初始化：栈为-1，避免当第一个字符就是），出栈没有元素报错；同时避免所有括号全部匹配时候计算长度少1. 入栈条件：当前括号为左括号 出栈条件：当前括号为右括号 计算子串长度条件：当前栈不为空，栈内有元素 计算方法：当前元素 - 栈底元素 并且更新最大值 :param s: :return:",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s: str) -> int"
},
{
"docstring": "动态龟化参考的官方... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s: str) -> int: 栈解法： 初始化：栈为-1，避免当第一个字符就是），出栈没有元素报错；同时避免所有括号全部匹配时候计算长度少1. 入栈条件：当前括号为左括号 出栈条件：当前括号为右括号 计算子串长度条件：当前栈不为空，栈内有元素 计算方法：当前元素 - 栈底元素 并且更新... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s: str) -> int: 栈解法： 初始化：栈为-1，避免当第一个字符就是），出栈没有元素报错；同时避免所有括号全部匹配时候计算长度少1. 入栈条件：当前括号为左括号 出栈条件：当前括号为右括号 计算子串长度条件：当前栈不为空，栈内有元素 计算方法：当前元素 - 栈底元素 并且更新... | 578cacff5851c5c2522981693c34e3c318002d30 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s: str) -> int:
"""栈解法： 初始化：栈为-1，避免当第一个字符就是），出栈没有元素报错；同时避免所有括号全部匹配时候计算长度少1. 入栈条件：当前括号为左括号 出栈条件：当前括号为右括号 计算子串长度条件：当前栈不为空，栈内有元素 计算方法：当前元素 - 栈底元素 并且更新最大值 :param s: :return:"""
<|body_0|>
def longestValidParentheses2(self, s: str) -> i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestValidParentheses(self, s: str) -> int:
"""栈解法： 初始化：栈为-1，避免当第一个字符就是），出栈没有元素报错；同时避免所有括号全部匹配时候计算长度少1. 入栈条件：当前括号为左括号 出栈条件：当前括号为右括号 计算子串长度条件：当前栈不为空，栈内有元素 计算方法：当前元素 - 栈底元素 并且更新最大值 :param s: :return:"""
n = len(s)
stack = [-1]
ans = 0
for i in range(n):
... | the_stack_v2_python_sparse | 最长有效括号.py | cjrzs/MyLeetCode | train | 8 | |
c6db2adbce560398664242de1a787d620d5d06ee | [
"import collections\nif not nums:\n return []\ncounter = collections.Counter(nums)\ntmp = counter.most_common(k)\nresult = []\nfor x in tmp:\n result.append(x[0])\nreturn result",
"if not nums:\n return []\ncounter = {}\nfor n in nums:\n if n not in counter:\n counter[n] = 1\n else:\n ... | <|body_start_0|>
import collections
if not nums:
return []
counter = collections.Counter(nums)
tmp = counter.most_common(k)
result = []
for x in tmp:
result.append(x[0])
return result
<|end_body_0|>
<|body_start_1|>
if not nums:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]:
"""347. 前 K 个高频元素 给定一个非空的整数数组，返回其中出现频率前 k 高的元素。 示例 1: 输入: nums = [1,1,1,2,2,3], k = 2 输出: [1,2] 示例 2: 输入: nums = [1], k = 1 输出: [1] 提示： 你可以假设给定的 k 总是合理的，且 1 ≤ k ≤ 数组中不相同的元素的个数。 你的算法的时间复杂度必须优于 O(n log n) , n 是数组的大小。 题... | stack_v2_sparse_classes_75kplus_train_065775 | 1,945 | no_license | [
{
"docstring": "347. 前 K 个高频元素 给定一个非空的整数数组，返回其中出现频率前 k 高的元素。 示例 1: 输入: nums = [1,1,1,2,2,3], k = 2 输出: [1,2] 示例 2: 输入: nums = [1], k = 1 输出: [1] 提示： 你可以假设给定的 k 总是合理的，且 1 ≤ k ≤ 数组中不相同的元素的个数。 你的算法的时间复杂度必须优于 O(n log n) , n 是数组的大小。 题目数据保证答案唯一，换句话说，数组中前 k 个高频元素的集合是唯一的。 你可以按任意顺序返回答案。 来源：力扣（LeetCode） 链接：https://leetco... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def topKFrequent(self, nums: List[int], k: int) -> List[int]: 347. 前 K 个高频元素 给定一个非空的整数数组，返回其中出现频率前 k 高的元素。 示例 1: 输入: nums = [1,1,1,2,2,3], k = 2 输出: [1,2] 示例 2: 输入: nums = [1], k... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def topKFrequent(self, nums: List[int], k: int) -> List[int]: 347. 前 K 个高频元素 给定一个非空的整数数组，返回其中出现频率前 k 高的元素。 示例 1: 输入: nums = [1,1,1,2,2,3], k = 2 输出: [1,2] 示例 2: 输入: nums = [1], k... | 6580c7fd9a62494f82cedf69edda793865b5bd2d | <|skeleton|>
class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]:
"""347. 前 K 个高频元素 给定一个非空的整数数组，返回其中出现频率前 k 高的元素。 示例 1: 输入: nums = [1,1,1,2,2,3], k = 2 输出: [1,2] 示例 2: 输入: nums = [1], k = 1 输出: [1] 提示： 你可以假设给定的 k 总是合理的，且 1 ≤ k ≤ 数组中不相同的元素的个数。 你的算法的时间复杂度必须优于 O(n log n) , n 是数组的大小。 题... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]:
"""347. 前 K 个高频元素 给定一个非空的整数数组，返回其中出现频率前 k 高的元素。 示例 1: 输入: nums = [1,1,1,2,2,3], k = 2 输出: [1,2] 示例 2: 输入: nums = [1], k = 1 输出: [1] 提示： 你可以假设给定的 k 总是合理的，且 1 ≤ k ≤ 数组中不相同的元素的个数。 你的算法的时间复杂度必须优于 O(n log n) , n 是数组的大小。 题目数据保证答案唯一，换句话说... | the_stack_v2_python_sparse | Week_02/topKFrequentElements.py | ZGingko/algorithm008-class02 | train | 0 | |
88f495c302724df293b1875f738196746c292d26 | [
"n = 50\nactual = a1.num_buses(n)\nexpected = 1\nself.assertEqual(actual, expected)",
"n = 0\nactual = a1.num_buses(n)\nexpected = 0\nself.assertEqual(actual, expected)",
"n = 35\nactual = a1.num_buses(n)\nexpected = 1\nself.assertEqual(actual, expected)",
"n = 156\nactual = a1.num_buses(n)\nexpected = 4\nsel... | <|body_start_0|>
n = 50
actual = a1.num_buses(n)
expected = 1
self.assertEqual(actual, expected)
<|end_body_0|>
<|body_start_1|>
n = 0
actual = a1.num_buses(n)
expected = 0
self.assertEqual(actual, expected)
<|end_body_1|>
<|body_start_2|>
n = 35... | Test class for function a1.num_buses. | TestNumBuses | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestNumBuses:
"""Test class for function a1.num_buses."""
def test_ecual(self):
"""Test if the function works properly with exact number for the passengers"""
<|body_0|>
def test_zero(self):
"""Test when the number of passangers is 0"""
<|body_1|>
de... | stack_v2_sparse_classes_75kplus_train_065776 | 1,065 | no_license | [
{
"docstring": "Test if the function works properly with exact number for the passengers",
"name": "test_ecual",
"signature": "def test_ecual(self)"
},
{
"docstring": "Test when the number of passangers is 0",
"name": "test_zero",
"signature": "def test_zero(self)"
},
{
"docstrin... | 4 | stack_v2_sparse_classes_30k_train_044932 | Implement the Python class `TestNumBuses` described below.
Class description:
Test class for function a1.num_buses.
Method signatures and docstrings:
- def test_ecual(self): Test if the function works properly with exact number for the passengers
- def test_zero(self): Test when the number of passangers is 0
- def te... | Implement the Python class `TestNumBuses` described below.
Class description:
Test class for function a1.num_buses.
Method signatures and docstrings:
- def test_ecual(self): Test if the function works properly with exact number for the passengers
- def test_zero(self): Test when the number of passangers is 0
- def te... | ba0e48825e3f90f9da0e7506c89354622198c4a5 | <|skeleton|>
class TestNumBuses:
"""Test class for function a1.num_buses."""
def test_ecual(self):
"""Test if the function works properly with exact number for the passengers"""
<|body_0|>
def test_zero(self):
"""Test when the number of passangers is 0"""
<|body_1|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestNumBuses:
"""Test class for function a1.num_buses."""
def test_ecual(self):
"""Test if the function works properly with exact number for the passengers"""
n = 50
actual = a1.num_buses(n)
expected = 1
self.assertEqual(actual, expected)
def test_zero(self):
... | the_stack_v2_python_sparse | Coursera/Python3/Second Course Asignments/Assighment 1/test_num_buses.py | Vutov/SideProjects | train | 0 |
07f198b5889f99cd1ebfe85ce78fec0b4a6a70c4 | [
"self.logger = get_module_logger('User', level=logging.INFO)\nself.account = account\nself.strategy = strategy\nself.model = model\nself.verbose = verbose",
"self.account.init_state(today=date)\nself.strategy.init_state(trade_date=date, model=self.model, account=self.account)\nreturn",
"if not self.account.last... | <|body_start_0|>
self.logger = get_module_logger('User', level=logging.INFO)
self.account = account
self.strategy = strategy
self.model = model
self.verbose = verbose
<|end_body_0|>
<|body_start_1|>
self.account.init_state(today=date)
self.strategy.init_state(tra... | User | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class User:
def __init__(self, account, strategy, model, verbose=False):
"""A user in online system, which contains account, strategy and model three module. Parameter account : Account() strategy : a strategy instance model : a model instance report_save_path : string the path to save report.... | stack_v2_sparse_classes_75kplus_train_065777 | 2,980 | permissive | [
{
"docstring": "A user in online system, which contains account, strategy and model three module. Parameter account : Account() strategy : a strategy instance model : a model instance report_save_path : string the path to save report. Will not save report if None verbose : bool Whether to print the info during ... | 4 | stack_v2_sparse_classes_30k_train_015362 | Implement the Python class `User` described below.
Class description:
Implement the User class.
Method signatures and docstrings:
- def __init__(self, account, strategy, model, verbose=False): A user in online system, which contains account, strategy and model three module. Parameter account : Account() strategy : a ... | Implement the Python class `User` described below.
Class description:
Implement the User class.
Method signatures and docstrings:
- def __init__(self, account, strategy, model, verbose=False): A user in online system, which contains account, strategy and model three module. Parameter account : Account() strategy : a ... | 4c30e5827b74bcc45f14cf3ae0c1715459ed09ae | <|skeleton|>
class User:
def __init__(self, account, strategy, model, verbose=False):
"""A user in online system, which contains account, strategy and model three module. Parameter account : Account() strategy : a strategy instance model : a model instance report_save_path : string the path to save report.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class User:
def __init__(self, account, strategy, model, verbose=False):
"""A user in online system, which contains account, strategy and model three module. Parameter account : Account() strategy : a strategy instance model : a model instance report_save_path : string the path to save report. Will not save... | the_stack_v2_python_sparse | qlib/contrib/online/user.py | microsoft/qlib | train | 12,822 | |
cb2601b5ab3fa12801bcd182f0ec4d0666d920dd | [
"self.data_path = os.path.join(global_path)\nself.radar = 'radar'\nself.label = 'label'\nself.rgb = 'rgb'\nself.b_label = b_label\nself.b_rgb = b_rgb\nself.sar_c = sar_c\nself.opt_c = opt_c\nself.randomized = randomized\nself.radar_list = sorted(os.listdir(os.path.join(self.data_path, self.radar)))\nself.rand_list ... | <|body_start_0|>
self.data_path = os.path.join(global_path)
self.radar = 'radar'
self.label = 'label'
self.rgb = 'rgb'
self.b_label = b_label
self.b_rgb = b_rgb
self.sar_c = sar_c
self.opt_c = opt_c
self.randomized = randomized
self.radar_l... | Implementation of the torch Dataset class for EUSAR dataset The Dataset must be structured as follow: The naming convetion for patches is: XXXX_XXXXXXX_data.npy Where: - XXXX is the tile ID (from 0 to N) - XXXXXXX is the patch ID (from zero to M) - data can be label rgb or radar Dataset --/ radar --/ radar patches in n... | EUSARDataset | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EUSARDataset:
"""Implementation of the torch Dataset class for EUSAR dataset The Dataset must be structured as follow: The naming convetion for patches is: XXXX_XXXXXXX_data.npy Where: - XXXX is the tile ID (from 0 to N) - XXXXXXX is the patch ID (from zero to M) - data can be label rgb or radar ... | stack_v2_sparse_classes_75kplus_train_065778 | 4,562 | permissive | [
{
"docstring": "Init function :param global_path: path to the directory of data (which should be composed of: rgb, radar, label) :param b_rgb: use label? :param b_rgb: use rgb data? :param b_rgb: use rgb data? :param sar_c: number of channel of sar data :param opt_c: number of channel of optical data :param ran... | 3 | stack_v2_sparse_classes_30k_train_004122 | Implement the Python class `EUSARDataset` described below.
Class description:
Implementation of the torch Dataset class for EUSAR dataset The Dataset must be structured as follow: The naming convetion for patches is: XXXX_XXXXXXX_data.npy Where: - XXXX is the tile ID (from 0 to N) - XXXXXXX is the patch ID (from zero ... | Implement the Python class `EUSARDataset` described below.
Class description:
Implementation of the torch Dataset class for EUSAR dataset The Dataset must be structured as follow: The naming convetion for patches is: XXXX_XXXXXXX_data.npy Where: - XXXX is the tile ID (from 0 to N) - XXXXXXX is the patch ID (from zero ... | 162c26446837a7c0ffd2679b3fb54ba01f204123 | <|skeleton|>
class EUSARDataset:
"""Implementation of the torch Dataset class for EUSAR dataset The Dataset must be structured as follow: The naming convetion for patches is: XXXX_XXXXXXX_data.npy Where: - XXXX is the tile ID (from 0 to N) - XXXXXXX is the patch ID (from zero to M) - data can be label rgb or radar ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EUSARDataset:
"""Implementation of the torch Dataset class for EUSAR dataset The Dataset must be structured as follow: The naming convetion for patches is: XXXX_XXXXXXX_data.npy Where: - XXXX is the tile ID (from 0 to N) - XXXXXXX is the patch ID (from zero to M) - data can be label rgb or radar Dataset --/ r... | the_stack_v2_python_sparse | Lib/Datasets/EUSAR/EUSARDataset.py | cattale93/pytorch_self_supervised_learning | train | 9 |
abeca593c173d61be194e3c86acaca8b8cb70c21 | [
"discriminator = getattr(ctx.dialog, 'discriminator', None)\nif discriminator:\n if not entities.Entity.ByKeys(discriminator):\n raise ue.Exception('csweb_err_classtilesmall_discriminator')",
"def _add_subclass_config(config, plugin_configs):\n \"\"\"\n The function checks if the class of ... | <|body_start_0|>
discriminator = getattr(ctx.dialog, 'discriminator', None)
if discriminator:
if not entities.Entity.ByKeys(discriminator):
raise ue.Exception('csweb_err_classtilesmall_discriminator')
<|end_body_0|>
<|body_start_1|>
def _add_subclass_config(config, p... | PlugIn to manage plugins with the id ``class-tile_small`` | WebUIPluginCallbackClassTileSmall | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WebUIPluginCallbackClassTileSmall:
"""PlugIn to manage plugins with the id ``class-tile_small``"""
def check_values(cls, ctx):
"""Check if the discriminator is a valid regular expression."""
<|body_0|>
def adapt_config(cls, plugin_configs):
"""This callback allow... | stack_v2_sparse_classes_75kplus_train_065779 | 8,936 | no_license | [
{
"docstring": "Check if the discriminator is a valid regular expression.",
"name": "check_values",
"signature": "def check_values(cls, ctx)"
},
{
"docstring": "This callback allows you to manipulate the plugin_config list after the configuration has been read from the database.",
"name": "a... | 2 | stack_v2_sparse_classes_30k_train_023419 | Implement the Python class `WebUIPluginCallbackClassTileSmall` described below.
Class description:
PlugIn to manage plugins with the id ``class-tile_small``
Method signatures and docstrings:
- def check_values(cls, ctx): Check if the discriminator is a valid regular expression.
- def adapt_config(cls, plugin_configs)... | Implement the Python class `WebUIPluginCallbackClassTileSmall` described below.
Class description:
PlugIn to manage plugins with the id ``class-tile_small``
Method signatures and docstrings:
- def check_values(cls, ctx): Check if the discriminator is a valid regular expression.
- def adapt_config(cls, plugin_configs)... | 6bc932c67bc8d93b873838ae6d9fb8d33c72234d | <|skeleton|>
class WebUIPluginCallbackClassTileSmall:
"""PlugIn to manage plugins with the id ``class-tile_small``"""
def check_values(cls, ctx):
"""Check if the discriminator is a valid regular expression."""
<|body_0|>
def adapt_config(cls, plugin_configs):
"""This callback allow... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WebUIPluginCallbackClassTileSmall:
"""PlugIn to manage plugins with the id ``class-tile_small``"""
def check_values(cls, ctx):
"""Check if the discriminator is a valid regular expression."""
discriminator = getattr(ctx.dialog, 'discriminator', None)
if discriminator:
i... | the_stack_v2_python_sparse | site-packages/cs.web-15.3.0.6-py2.7.egg/cs/web/components/plugin_config.py | prachipainuly-rbei/devops-poc | train | 0 |
3be89b0d9fdef12c76500bab4265a77e579a1583 | [
"cleaned_data = super(UserSignUpForm, self).clean()\ntry:\n original_password = cleaned_data['password']\n confirm_password = cleaned_data['password_confirm']\nexcept KeyError:\n return cleaned_data\nif original_password != confirm_password:\n raise forms.ValidationError('الباسورد مش متطابق.')\nreturn c... | <|body_start_0|>
cleaned_data = super(UserSignUpForm, self).clean()
try:
original_password = cleaned_data['password']
confirm_password = cleaned_data['password_confirm']
except KeyError:
return cleaned_data
if original_password != confirm_password:
... | UserSignUpForm | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSignUpForm:
def clean(self):
"""cleaned_data -> ValidationError if possible Returns Validation error if and only if: - Confirm_password != original_password"""
<|body_0|>
def clean_password(self):
"""Takes the given password and call django's built-in validators ... | stack_v2_sparse_classes_75kplus_train_065780 | 3,210 | permissive | [
{
"docstring": "cleaned_data -> ValidationError if possible Returns Validation error if and only if: - Confirm_password != original_password",
"name": "clean",
"signature": "def clean(self)"
},
{
"docstring": "Takes the given password and call django's built-in validators on it.",
"name": "c... | 4 | stack_v2_sparse_classes_30k_train_001329 | Implement the Python class `UserSignUpForm` described below.
Class description:
Implement the UserSignUpForm class.
Method signatures and docstrings:
- def clean(self): cleaned_data -> ValidationError if possible Returns Validation error if and only if: - Confirm_password != original_password
- def clean_password(sel... | Implement the Python class `UserSignUpForm` described below.
Class description:
Implement the UserSignUpForm class.
Method signatures and docstrings:
- def clean(self): cleaned_data -> ValidationError if possible Returns Validation error if and only if: - Confirm_password != original_password
- def clean_password(sel... | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | <|skeleton|>
class UserSignUpForm:
def clean(self):
"""cleaned_data -> ValidationError if possible Returns Validation error if and only if: - Confirm_password != original_password"""
<|body_0|>
def clean_password(self):
"""Takes the given password and call django's built-in validators ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserSignUpForm:
def clean(self):
"""cleaned_data -> ValidationError if possible Returns Validation error if and only if: - Confirm_password != original_password"""
cleaned_data = super(UserSignUpForm, self).clean()
try:
original_password = cleaned_data['password']
... | the_stack_v2_python_sparse | users/forms.py | Ibrahem3amer/bala7 | train | 0 | |
b9f2c99e1f499d12ebfaa30640a27f22827b6d09 | [
"self._element_tag = element_tag\nself._xpath = xpath\nself.__main_controller = controller\nself._element = None",
"try:\n self._element = self.__main_controller.appium.get_element(self._element_tag)\nexcept NoSuchUIElement:\n index_ = 0\n success = False\n while index_ < Settings.Errors.RETRY_NUMBER ... | <|body_start_0|>
self._element_tag = element_tag
self._xpath = xpath
self.__main_controller = controller
self._element = None
<|end_body_0|>
<|body_start_1|>
try:
self._element = self.__main_controller.appium.get_element(self._element_tag)
except NoSuchUIElem... | UIObject definition | UIObject | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UIObject:
"""UIObject definition"""
def __init__(self, controller, element_tag=None, xpath=None):
"""Constructor. :param controller: Main Controller :param element_tag: The path of the ui object"""
<|body_0|>
def _set_element(self):
"""Creates the link between th... | stack_v2_sparse_classes_75kplus_train_065781 | 2,764 | no_license | [
{
"docstring": "Constructor. :param controller: Main Controller :param element_tag: The path of the ui object",
"name": "__init__",
"signature": "def __init__(self, controller, element_tag=None, xpath=None)"
},
{
"docstring": "Creates the link between the class and the UI element. Virtualizes th... | 6 | stack_v2_sparse_classes_30k_train_039158 | Implement the Python class `UIObject` described below.
Class description:
UIObject definition
Method signatures and docstrings:
- def __init__(self, controller, element_tag=None, xpath=None): Constructor. :param controller: Main Controller :param element_tag: The path of the ui object
- def _set_element(self): Create... | Implement the Python class `UIObject` described below.
Class description:
UIObject definition
Method signatures and docstrings:
- def __init__(self, controller, element_tag=None, xpath=None): Constructor. :param controller: Main Controller :param element_tag: The path of the ui object
- def _set_element(self): Create... | f9522c301d6bf2e0086316b1e212a39a366bcfc6 | <|skeleton|>
class UIObject:
"""UIObject definition"""
def __init__(self, controller, element_tag=None, xpath=None):
"""Constructor. :param controller: Main Controller :param element_tag: The path of the ui object"""
<|body_0|>
def _set_element(self):
"""Creates the link between th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UIObject:
"""UIObject definition"""
def __init__(self, controller, element_tag=None, xpath=None):
"""Constructor. :param controller: Main Controller :param element_tag: The path of the ui object"""
self._element_tag = element_tag
self._xpath = xpath
self.__main_controller ... | the_stack_v2_python_sparse | src/model/UIElements/UIObject.py | meltiseugen/mobile-automation-framework | train | 0 |
66ec79927e1c484caebf62b4ac99667edc64381b | [
"self.file = file\nself.db = SqliteDB()\nwith self.db as cur:\n cur.execute('SELECT * from salaries ORDER BY department_code, position_type;')\n self.work_data = cur.fetchall()\nself.fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c2c2c2')\nself.border = Border(left=Side(border_style='t... | <|body_start_0|>
self.file = file
self.db = SqliteDB()
with self.db as cur:
cur.execute('SELECT * from salaries ORDER BY department_code, position_type;')
self.work_data = cur.fetchall()
self.fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c... | Класс, выгружающий штатное расписание в файл Excel для заполнения отклонений | FullShtatToExcel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FullShtatToExcel:
"""Класс, выгружающий штатное расписание в файл Excel для заполнения отклонений"""
def __init__(self, file: str):
"""Метод инициализации класса :param file: Название файла для отклонений"""
<|body_0|>
def full_shtat_to_excel(self) -> None:
"""Ме... | stack_v2_sparse_classes_75kplus_train_065782 | 4,837 | no_license | [
{
"docstring": "Метод инициализации класса :param file: Название файла для отклонений",
"name": "__init__",
"signature": "def __init__(self, file: str)"
},
{
"docstring": "Метод выгрузки штатного расписания в файл :return: None",
"name": "full_shtat_to_excel",
"signature": "def full_shta... | 2 | stack_v2_sparse_classes_30k_train_023567 | Implement the Python class `FullShtatToExcel` described below.
Class description:
Класс, выгружающий штатное расписание в файл Excel для заполнения отклонений
Method signatures and docstrings:
- def __init__(self, file: str): Метод инициализации класса :param file: Название файла для отклонений
- def full_shtat_to_ex... | Implement the Python class `FullShtatToExcel` described below.
Class description:
Класс, выгружающий штатное расписание в файл Excel для заполнения отклонений
Method signatures and docstrings:
- def __init__(self, file: str): Метод инициализации класса :param file: Название файла для отклонений
- def full_shtat_to_ex... | f63d5db6780cc02cb064e70d2076eba94cb45785 | <|skeleton|>
class FullShtatToExcel:
"""Класс, выгружающий штатное расписание в файл Excel для заполнения отклонений"""
def __init__(self, file: str):
"""Метод инициализации класса :param file: Название файла для отклонений"""
<|body_0|>
def full_shtat_to_excel(self) -> None:
"""Ме... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FullShtatToExcel:
"""Класс, выгружающий штатное расписание в файл Excel для заполнения отклонений"""
def __init__(self, file: str):
"""Метод инициализации класса :param file: Название файла для отклонений"""
self.file = file
self.db = SqliteDB()
with self.db as cur:
... | the_stack_v2_python_sparse | save_loads/full_shtat_to_excel.py | Pheeneek/Salary | train | 0 |
a2793b73b42ce24b28b50031b0df6c69890a9f39 | [
"super().__init__()\nif portfolioBias == PortfolioBias.Short:\n raise ArgumentException('Long position must be allowed in MeanReversionPortfolioConstructionModel.')\nself.reversion_threshold = reversion_threshold\nself.window_size = window_size\nself.resolution = resolution\nself.num_of_assets = 0\nself.symbol_d... | <|body_start_0|>
super().__init__()
if portfolioBias == PortfolioBias.Short:
raise ArgumentException('Long position must be allowed in MeanReversionPortfolioConstructionModel.')
self.reversion_threshold = reversion_threshold
self.window_size = window_size
self.resolut... | MeanReversionPortfolioConstructionModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeanReversionPortfolioConstructionModel:
def __init__(self, rebalance=Resolution.Daily, portfolioBias=PortfolioBias.LongShort, reversion_threshold=1, window_size=20, resolution=Resolution.Daily):
"""Initialize the model Args: rebalance: Rebalancing parameter. If it is a timedelta, date r... | stack_v2_sparse_classes_75kplus_train_065783 | 9,005 | permissive | [
{
"docstring": "Initialize the model Args: rebalance: Rebalancing parameter. If it is a timedelta, date rules or Resolution, it will be converted into a function. If None will be ignored. The function returns the next expected rebalance time for a given algorithm UTC DateTime. The function returns null if unkno... | 5 | stack_v2_sparse_classes_30k_train_021116 | Implement the Python class `MeanReversionPortfolioConstructionModel` described below.
Class description:
Implement the MeanReversionPortfolioConstructionModel class.
Method signatures and docstrings:
- def __init__(self, rebalance=Resolution.Daily, portfolioBias=PortfolioBias.LongShort, reversion_threshold=1, window_... | Implement the Python class `MeanReversionPortfolioConstructionModel` described below.
Class description:
Implement the MeanReversionPortfolioConstructionModel class.
Method signatures and docstrings:
- def __init__(self, rebalance=Resolution.Daily, portfolioBias=PortfolioBias.LongShort, reversion_threshold=1, window_... | b33dd3bc140e14b883f39ecf848a793cf7292277 | <|skeleton|>
class MeanReversionPortfolioConstructionModel:
def __init__(self, rebalance=Resolution.Daily, portfolioBias=PortfolioBias.LongShort, reversion_threshold=1, window_size=20, resolution=Resolution.Daily):
"""Initialize the model Args: rebalance: Rebalancing parameter. If it is a timedelta, date r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MeanReversionPortfolioConstructionModel:
def __init__(self, rebalance=Resolution.Daily, portfolioBias=PortfolioBias.LongShort, reversion_threshold=1, window_size=20, resolution=Resolution.Daily):
"""Initialize the model Args: rebalance: Rebalancing parameter. If it is a timedelta, date rules or Resolu... | the_stack_v2_python_sparse | Algorithm.Framework/Portfolio/MeanReversionPortfolioConstructionModel.py | Capnode/Algoloop | train | 87 | |
f29dd8f61f0491cf45bc566ff43f6a469032e233 | [
"ret = 'zz'\nfor letter in letters:\n if letter > target:\n ret = min(letter, ret)\nreturn ret if ret != 'zz' else min(letters)",
"for letter in letters:\n if letter > target:\n return letter\nreturn letters[0]",
"if target >= letters[-1]:\n return letters[0]\nstart = 0\nend = len(letters... | <|body_start_0|>
ret = 'zz'
for letter in letters:
if letter > target:
ret = min(letter, ret)
return ret if ret != 'zz' else min(letters)
<|end_body_0|>
<|body_start_1|>
for letter in letters:
if letter > target:
return letter
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def nextGreatestLetter1(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_0|>
def nextGreatestLetter2(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus_train_065784 | 1,413 | no_license | [
{
"docstring": ":type letters: List[str] :type target: str :rtype: str",
"name": "nextGreatestLetter1",
"signature": "def nextGreatestLetter1(self, letters, target)"
},
{
"docstring": ":type letters: List[str] :type target: str :rtype: str",
"name": "nextGreatestLetter2",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_test_001291 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def nextGreatestLetter1(self, letters, target): :type letters: List[str] :type target: str :rtype: str
- def nextGreatestLetter2(self, letters, target): :type letters: List[str] ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def nextGreatestLetter1(self, letters, target): :type letters: List[str] :type target: str :rtype: str
- def nextGreatestLetter2(self, letters, target): :type letters: List[str] ... | 70bdd75b6af2e1811c1beab22050c01d28d7373e | <|skeleton|>
class Solution:
def nextGreatestLetter1(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_0|>
def nextGreatestLetter2(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_1|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def nextGreatestLetter1(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
ret = 'zz'
for letter in letters:
if letter > target:
ret = min(letter, ret)
return ret if ret != 'zz' else min(letters)
def n... | the_stack_v2_python_sparse | python/leetcode_bak/744_Find_Smallest_Letter_Greater_Than_Target.py | bobcaoge/my-code | train | 0 | |
59ea520e9c20b2da38ef9d55a4c133010860200a | [
"if not query:\n return ''\nsearch_query = '%{0}%'.format(query)\nreturn or_(Issue.email.ilike(search_query))",
"issue.status = 'open'\nissue.save()\nreturn issue",
"issue.status = 'contacted'\nissue.save()\nreturn issue"
] | <|body_start_0|>
if not query:
return ''
search_query = '%{0}%'.format(query)
return or_(Issue.email.ilike(search_query))
<|end_body_0|>
<|body_start_1|>
issue.status = 'open'
issue.save()
return issue
<|end_body_1|>
<|body_start_2|>
issue.status = '... | Issue | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Issue:
def search(cls, query):
"""Search a resource by 1 or more fields. :param query: Search query :type query: str :return: SQLAlchemy filter"""
<|body_0|>
def unread_to_open(cls, issue):
"""Change unread issues to open. :param issue: Issue instance :type issue: Is... | stack_v2_sparse_classes_75kplus_train_065785 | 2,143 | permissive | [
{
"docstring": "Search a resource by 1 or more fields. :param query: Search query :type query: str :return: SQLAlchemy filter",
"name": "search",
"signature": "def search(cls, query)"
},
{
"docstring": "Change unread issues to open. :param issue: Issue instance :type issue: Issue instance :retur... | 3 | stack_v2_sparse_classes_30k_train_041102 | Implement the Python class `Issue` described below.
Class description:
Implement the Issue class.
Method signatures and docstrings:
- def search(cls, query): Search a resource by 1 or more fields. :param query: Search query :type query: str :return: SQLAlchemy filter
- def unread_to_open(cls, issue): Change unread is... | Implement the Python class `Issue` described below.
Class description:
Implement the Issue class.
Method signatures and docstrings:
- def search(cls, query): Search a resource by 1 or more fields. :param query: Search query :type query: str :return: SQLAlchemy filter
- def unread_to_open(cls, issue): Change unread is... | 4b0fcb06cb0e4efb1e3f1d9e3999019580f73a64 | <|skeleton|>
class Issue:
def search(cls, query):
"""Search a resource by 1 or more fields. :param query: Search query :type query: str :return: SQLAlchemy filter"""
<|body_0|>
def unread_to_open(cls, issue):
"""Change unread issues to open. :param issue: Issue instance :type issue: Is... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Issue:
def search(cls, query):
"""Search a resource by 1 or more fields. :param query: Search query :type query: str :return: SQLAlchemy filter"""
if not query:
return ''
search_query = '%{0}%'.format(query)
return or_(Issue.email.ilike(search_query))
def unrea... | the_stack_v2_python_sparse | catwatch/blueprints/issue/models.py | bikegriffith/build-a-saas-app-with-flask | train | 0 | |
3ca7612feb92e3bad6d9d06856901e370437829a | [
"class NodeSubgSampler(Sampler):\n\n def __init__(self):\n super(NodeSubgSampler, self).__init__()\n\n def sample(self, g, nids):\n return dgl.node_subgraph(g, nids)\n\nclass EdgeSubgSampler(Sampler):\n\n def __init__(self):\n super(EdgeSubgSampler, self).__init__()\n\n def sample(s... | <|body_start_0|>
class NodeSubgSampler(Sampler):
def __init__(self):
super(NodeSubgSampler, self).__init__()
def sample(self, g, nids):
return dgl.node_subgraph(g, nids)
class EdgeSubgSampler(Sampler):
def __init__(self):
... | Sampler: generate subgraph samples from original graph. Dataloader: iterables over subgraph samples. Together they form the basic primitives of the data pipeline | SamplerTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SamplerTest:
"""Sampler: generate subgraph samples from original graph. Dataloader: iterables over subgraph samples. Together they form the basic primitives of the data pipeline"""
def test_sampler(self):
"""dgl.dataloading.Sampler：Sampler抽象基类， 核心方法sample(g, indices)"""
<|bod... | stack_v2_sparse_classes_75kplus_train_065786 | 4,392 | no_license | [
{
"docstring": "dgl.dataloading.Sampler：Sampler抽象基类， 核心方法sample(g, indices)",
"name": "test_sampler",
"signature": "def test_sampler(self)"
},
{
"docstring": "基类: BlockSampler(prefetch_node_feats=None, prefetch_labels=None, prefetch_edge_feats=None) 从原图采样mfgs的Sampler抽象基类 构造参数: - prefetch_node_fe... | 2 | stack_v2_sparse_classes_30k_train_049185 | Implement the Python class `SamplerTest` described below.
Class description:
Sampler: generate subgraph samples from original graph. Dataloader: iterables over subgraph samples. Together they form the basic primitives of the data pipeline
Method signatures and docstrings:
- def test_sampler(self): dgl.dataloading.Sam... | Implement the Python class `SamplerTest` described below.
Class description:
Sampler: generate subgraph samples from original graph. Dataloader: iterables over subgraph samples. Together they form the basic primitives of the data pipeline
Method signatures and docstrings:
- def test_sampler(self): dgl.dataloading.Sam... | 4f4bd55d7f0502c188976dda2f95fd25614283f3 | <|skeleton|>
class SamplerTest:
"""Sampler: generate subgraph samples from original graph. Dataloader: iterables over subgraph samples. Together they form the basic primitives of the data pipeline"""
def test_sampler(self):
"""dgl.dataloading.Sampler：Sampler抽象基类， 核心方法sample(g, indices)"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SamplerTest:
"""Sampler: generate subgraph samples from original graph. Dataloader: iterables over subgraph samples. Together they form the basic primitives of the data pipeline"""
def test_sampler(self):
"""dgl.dataloading.Sampler：Sampler抽象基类， 核心方法sample(g, indices)"""
class NodeSubgSamp... | the_stack_v2_python_sparse | com.xulf.learn.ml.dgl/dgl_data/sampler_test.py | sankoudai/py-knowledge-center | train | 0 |
0a37a3dd9d3d263d6fa5fa7e5624585b8b140579 | [
"if nums is []:\n return None\nleft = 0\nright = len(nums) - 1\nwhile left < right - 1:\n mid = (left + right) / 2\n if nums[left] < nums[right]:\n return nums[left]\n if nums[left] < nums[mid]:\n left = mid\n else:\n right = mid\nreturn min(nums[left], nums[right])",
"if nums ... | <|body_start_0|>
if nums is []:
return None
left = 0
right = len(nums) - 1
while left < right - 1:
mid = (left + right) / 2
if nums[left] < nums[right]:
return nums[left]
if nums[left] < nums[mid]:
left = mid... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findMin(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findMin_2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if nums is []:
return None
left... | stack_v2_sparse_classes_75kplus_train_065787 | 929 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findMin",
"signature": "def findMin(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findMin_2",
"signature": "def findMin_2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000274 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMin(self, nums): :type nums: List[int] :rtype: int
- def findMin_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 findMin(self, nums): :type nums: List[int] :rtype: int
- def findMin_2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def findMin(self, num... | 4d24e9924a92d2f9517f82a07933b51a9ab32023 | <|skeleton|>
class Solution:
def findMin(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findMin_2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findMin(self, nums):
""":type nums: List[int] :rtype: int"""
if nums is []:
return None
left = 0
right = len(nums) - 1
while left < right - 1:
mid = (left + right) / 2
if nums[left] < nums[right]:
return ... | the_stack_v2_python_sparse | find-minimum-in-rotated-sorted-array.py | ceciet/leetcode | train | 0 | |
02b5da61f9f19061525ed4459258e50e3bf0bd27 | [
"self._cap = capacity\nself._size = 0\nself._table = {}\nself._head = Node(0, -1)\nself._tail = Node(0, -1)\nself._head.next = self._tail\nself._tail.prev = self._head",
"if key not in self._table:\n return -1\nnode = self._table[key]\nnode.prev.next = node.next\nnode.next.prev = node.prev\nnode.next = self._t... | <|body_start_0|>
self._cap = capacity
self._size = 0
self._table = {}
self._head = Node(0, -1)
self._tail = Node(0, -1)
self._head.next = self._tail
self._tail.prev = self._head
<|end_body_0|>
<|body_start_1|>
if key not in self._table:
return... | LRUCache | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_065788 | 2,110 | permissive | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: None",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_train_027563 | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None
<|sk... | e38774cab5cf757ed858547780a8582951f117b4 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self._cap = capacity
self._size = 0
self._table = {}
self._head = Node(0, -1)
self._tail = Node(0, -1)
self._head.next = self._tail
self._tail.prev = self._head
def get(self, ... | the_stack_v2_python_sparse | crack-data-structures-and-algorithms/leetcode/python-impl/lru_cache_q146.py | kingsamchen/Eureka | train | 28 | |
5f3f187ddf31b186bbf5170a857490adf1d2370a | [
"bootstrap_exp_count = 1000\nresample_count = 1000\nbound_limits = list()\nfor N in xrange(2, self.N + 1):\n samples = self.sample_generator.generate_samples(N, self.T)\n for T in range(self.T):\n m_l, m_u = self.compute_boostrap_experiment(N, samples[:, T], resample_count, bootstrap_exp_count)\n ... | <|body_start_0|>
bootstrap_exp_count = 1000
resample_count = 1000
bound_limits = list()
for N in xrange(2, self.N + 1):
samples = self.sample_generator.generate_samples(N, self.T)
for T in range(self.T):
m_l, m_u = self.compute_boostrap_experiment(... | Class for Bootstrap Bounds The Confidence is set to 95* for this bound. Might mae it configurable in the future. | Bootstrap | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bootstrap:
"""Class for Bootstrap Bounds The Confidence is set to 95* for this bound. Might mae it configurable in the future."""
def compute_mean(self):
"""Computes mean with the DELTA method of Bootstrapping. For Bootstrap T(Trails) is equivalent to number Bootstrap sampling experi... | stack_v2_sparse_classes_75kplus_train_065789 | 2,348 | no_license | [
{
"docstring": "Computes mean with the DELTA method of Bootstrapping. For Bootstrap T(Trails) is equivalent to number Bootstrap sampling experiment.",
"name": "compute_mean",
"signature": "def compute_mean(self)"
},
{
"docstring": "Performs one Bootstrap experiment. :param N: Number of samples, ... | 2 | stack_v2_sparse_classes_30k_train_010002 | Implement the Python class `Bootstrap` described below.
Class description:
Class for Bootstrap Bounds The Confidence is set to 95* for this bound. Might mae it configurable in the future.
Method signatures and docstrings:
- def compute_mean(self): Computes mean with the DELTA method of Bootstrapping. For Bootstrap T(... | Implement the Python class `Bootstrap` described below.
Class description:
Class for Bootstrap Bounds The Confidence is set to 95* for this bound. Might mae it configurable in the future.
Method signatures and docstrings:
- def compute_mean(self): Computes mean with the DELTA method of Bootstrapping. For Bootstrap T(... | 582db28c4f3251486f940f4054418cc7290f4d45 | <|skeleton|>
class Bootstrap:
"""Class for Bootstrap Bounds The Confidence is set to 95* for this bound. Might mae it configurable in the future."""
def compute_mean(self):
"""Computes mean with the DELTA method of Bootstrapping. For Bootstrap T(Trails) is equivalent to number Bootstrap sampling experi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bootstrap:
"""Class for Bootstrap Bounds The Confidence is set to 95* for this bound. Might mae it configurable in the future."""
def compute_mean(self):
"""Computes mean with the DELTA method of Bootstrapping. For Bootstrap T(Trails) is equivalent to number Bootstrap sampling experiment."""
... | the_stack_v2_python_sparse | src/main/algorithm/bootstrap.py | abhinavshaw1993/SampleBounds | train | 4 |
e2dba5a4a611426dc25f1138d6da27be3f50e485 | [
"mock_cmd.return_value = (0, 'success')\nresponse = self.client.get('/ftp/user')\nself.assertEqual(response.status_code, 200)",
"test_user = {'name': 'test', 'homedir': '/var/ftp/test'}\nmock_cmd.return_value = (0, 'success')\ndeletedata = json.dumps(test_user)\nresponse = self.client.delete('/ftp/user', data=del... | <|body_start_0|>
mock_cmd.return_value = (0, 'success')
response = self.client.get('/ftp/user')
self.assertEqual(response.status_code, 200)
<|end_body_0|>
<|body_start_1|>
test_user = {'name': 'test', 'homedir': '/var/ftp/test'}
mock_cmd.return_value = (0, 'success')
del... | UserTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserTests:
def test_get(self, mock_cmd):
"""Test for the FTP user list"""
<|body_0|>
def test_delete(self, mock_cmd):
"""Delete FTP user testing"""
<|body_1|>
def test_post(self):
"""Add FTP user testing"""
<|body_2|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_75kplus_train_065790 | 9,943 | no_license | [
{
"docstring": "Test for the FTP user list",
"name": "test_get",
"signature": "def test_get(self, mock_cmd)"
},
{
"docstring": "Delete FTP user testing",
"name": "test_delete",
"signature": "def test_delete(self, mock_cmd)"
},
{
"docstring": "Add FTP user testing",
"name": "t... | 3 | null | Implement the Python class `UserTests` described below.
Class description:
Implement the UserTests class.
Method signatures and docstrings:
- def test_get(self, mock_cmd): Test for the FTP user list
- def test_delete(self, mock_cmd): Delete FTP user testing
- def test_post(self): Add FTP user testing | Implement the Python class `UserTests` described below.
Class description:
Implement the UserTests class.
Method signatures and docstrings:
- def test_get(self, mock_cmd): Test for the FTP user list
- def test_delete(self, mock_cmd): Delete FTP user testing
- def test_post(self): Add FTP user testing
<|skeleton|>
cl... | 7f801a569a396a27371d0831752595877c224a6b | <|skeleton|>
class UserTests:
def test_get(self, mock_cmd):
"""Test for the FTP user list"""
<|body_0|>
def test_delete(self, mock_cmd):
"""Delete FTP user testing"""
<|body_1|>
def test_post(self):
"""Add FTP user testing"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserTests:
def test_get(self, mock_cmd):
"""Test for the FTP user list"""
mock_cmd.return_value = (0, 'success')
response = self.client.get('/ftp/user')
self.assertEqual(response.status_code, 200)
def test_delete(self, mock_cmd):
"""Delete FTP user testing"""
... | the_stack_v2_python_sparse | Python_projects/flask_projects/unicorn_project/ftp/tests.py | sdtimothy8/Coding | train | 0 | |
2968199be47606452dbc768461fa40782dc26323 | [
"trigger = TimerTrigger(self.mudpi, config)\nself.add_component(trigger)\nreturn True",
"if not isinstance(config, list):\n config = [config]\nfor conf in config:\n if not conf.get('key'):\n raise ConfigError('Missing `key` in Timer Trigger config.')\nreturn config",
"self.register_component_action... | <|body_start_0|>
trigger = TimerTrigger(self.mudpi, config)
self.add_component(trigger)
return True
<|end_body_0|>
<|body_start_1|>
if not isinstance(config, list):
config = [config]
for conf in config:
if not conf.get('key'):
raise Config... | Interface | [
"BSD-4-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interface:
def load(self, config):
"""Load timer trigger component from configs"""
<|body_0|>
def validate(self, config):
"""Validate the trigger config"""
<|body_1|>
def register_actions(self):
"""Register any interface actions"""
<|body... | stack_v2_sparse_classes_75kplus_train_065791 | 6,506 | permissive | [
{
"docstring": "Load timer trigger component from configs",
"name": "load",
"signature": "def load(self, config)"
},
{
"docstring": "Validate the trigger config",
"name": "validate",
"signature": "def validate(self, config)"
},
{
"docstring": "Register any interface actions",
... | 3 | stack_v2_sparse_classes_30k_train_009643 | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load timer trigger component from configs
- def validate(self, config): Validate the trigger config
- def register_actions(self): Register any interface... | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load timer trigger component from configs
- def validate(self, config): Validate the trigger config
- def register_actions(self): Register any interface... | fb206b1136f529c7197f1e6b29629ed05630d377 | <|skeleton|>
class Interface:
def load(self, config):
"""Load timer trigger component from configs"""
<|body_0|>
def validate(self, config):
"""Validate the trigger config"""
<|body_1|>
def register_actions(self):
"""Register any interface actions"""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interface:
def load(self, config):
"""Load timer trigger component from configs"""
trigger = TimerTrigger(self.mudpi, config)
self.add_component(trigger)
return True
def validate(self, config):
"""Validate the trigger config"""
if not isinstance(config, lis... | the_stack_v2_python_sparse | mudpi/extensions/timer/trigger.py | mistasp0ck/mudpi-core | train | 0 | |
6de0436abd47ba94fac9bb05fdbe77550bf7c91f | [
"self.action: Action = kwargs.pop('action', None)\nself.column_name: str = kwargs.pop('column_name', None)\nself.exclude_init: List[str] = kwargs.pop('exclude_values', list)\nsuper().__init__(form_data, *args, **kwargs)\nself.set_field_from_dict('exclude_values')\nself.fields['exclude_values'].choices = get_rows(se... | <|body_start_0|>
self.action: Action = kwargs.pop('action', None)
self.column_name: str = kwargs.pop('column_name', None)
self.exclude_init: List[str] = kwargs.pop('exclude_values', list)
super().__init__(form_data, *args, **kwargs)
self.set_field_from_dict('exclude_values')
... | Form to select a few fields to exclude. | ValueExcludeForm | [
"MIT",
"LGPL-2.0-or-later",
"Python-2.0",
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValueExcludeForm:
"""Form to select a few fields to exclude."""
def __init__(self, form_data, *args, **kwargs):
"""Store action, column name and exclude init, adjust fields."""
<|body_0|>
def clean(self):
"""Store the values in the field in the dictionary."""
... | stack_v2_sparse_classes_75kplus_train_065792 | 20,237 | permissive | [
{
"docstring": "Store action, column name and exclude init, adjust fields.",
"name": "__init__",
"signature": "def __init__(self, form_data, *args, **kwargs)"
},
{
"docstring": "Store the values in the field in the dictionary.",
"name": "clean",
"signature": "def clean(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_054230 | Implement the Python class `ValueExcludeForm` described below.
Class description:
Form to select a few fields to exclude.
Method signatures and docstrings:
- def __init__(self, form_data, *args, **kwargs): Store action, column name and exclude init, adjust fields.
- def clean(self): Store the values in the field in t... | Implement the Python class `ValueExcludeForm` described below.
Class description:
Form to select a few fields to exclude.
Method signatures and docstrings:
- def __init__(self, form_data, *args, **kwargs): Store action, column name and exclude init, adjust fields.
- def clean(self): Store the values in the field in t... | 5473e9faa24c71a2a1102d47ebc2cbf27608e42a | <|skeleton|>
class ValueExcludeForm:
"""Form to select a few fields to exclude."""
def __init__(self, form_data, *args, **kwargs):
"""Store action, column name and exclude init, adjust fields."""
<|body_0|>
def clean(self):
"""Store the values in the field in the dictionary."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ValueExcludeForm:
"""Form to select a few fields to exclude."""
def __init__(self, form_data, *args, **kwargs):
"""Store action, column name and exclude init, adjust fields."""
self.action: Action = kwargs.pop('action', None)
self.column_name: str = kwargs.pop('column_name', None)... | the_stack_v2_python_sparse | ontask/action/forms/run.py | LucasFranciscoCorreia/ontask_b | train | 0 |
748064b34224df77d43938dfc2346d32ee38bc59 | [
"visited = [[False for _ in range(len(board[0]))] for _ in range(len(board))]\nfor i in range(len(board)):\n for j in range(len(board[0])):\n if self.dfs(board, i, j, 0, word, visited):\n return True\nreturn False",
"if index == len(word):\n return True\nif row < 0 or row > len(board) - 1 ... | <|body_start_0|>
visited = [[False for _ in range(len(board[0]))] for _ in range(len(board))]
for i in range(len(board)):
for j in range(len(board[0])):
if self.dfs(board, i, j, 0, word, visited):
return True
return False
<|end_body_0|>
<|body_sta... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def exist(self, board, word):
"""Args: board: list[list[str]] word: str Return: bool"""
<|body_0|>
def dfs(self, board, row, col, index, word, visited):
"""Args: board: list[list[str]] row: int col: int path: list[str] word: str visited: list[list[bool]] Re... | stack_v2_sparse_classes_75kplus_train_065793 | 1,510 | no_license | [
{
"docstring": "Args: board: list[list[str]] word: str Return: bool",
"name": "exist",
"signature": "def exist(self, board, word)"
},
{
"docstring": "Args: board: list[list[str]] row: int col: int path: list[str] word: str visited: list[list[bool]] Return: bool",
"name": "dfs",
"signatur... | 2 | stack_v2_sparse_classes_30k_train_002877 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def exist(self, board, word): Args: board: list[list[str]] word: str Return: bool
- def dfs(self, board, row, col, index, word, visited): Args: board: list[list[str]] row: int co... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def exist(self, board, word): Args: board: list[list[str]] word: str Return: bool
- def dfs(self, board, row, col, index, word, visited): Args: board: list[list[str]] row: int co... | 101bce2fac8b188a4eb2f5e017293d21ad0ecb21 | <|skeleton|>
class Solution:
def exist(self, board, word):
"""Args: board: list[list[str]] word: str Return: bool"""
<|body_0|>
def dfs(self, board, row, col, index, word, visited):
"""Args: board: list[list[str]] row: int col: int path: list[str] word: str visited: list[list[bool]] Re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def exist(self, board, word):
"""Args: board: list[list[str]] word: str Return: bool"""
visited = [[False for _ in range(len(board[0]))] for _ in range(len(board))]
for i in range(len(board)):
for j in range(len(board[0])):
if self.dfs(board, i, j,... | the_stack_v2_python_sparse | 剑指offer/剑指 Offer 12. 矩阵中的路径.py | AiZhanghan/Leetcode | train | 0 | |
ed4de4124e9b0f86c13df9dc7d4c1de0bf5966a0 | [
"row, col = (len(grid), len(grid[0]))\ndp = [[0] * col] * row\nfor i in range(row):\n for j in range(col):\n if i == 0:\n if j == 0:\n dp[i][j] = grid[i][j]\n else:\n dp[i][j] = dp[i][j - 1] + grid[i][j]\n elif j == 0:\n dp[i][j] = dp[i... | <|body_start_0|>
row, col = (len(grid), len(grid[0]))
dp = [[0] * col] * row
for i in range(row):
for j in range(col):
if i == 0:
if j == 0:
dp[i][j] = grid[i][j]
else:
dp[i][j] = ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minPathSum(self, grid):
""":type grid: List[List[int]] :rtype: int dp方程二维：试试一维的？？？"""
<|body_0|>
def test1(self, grid):
"""dp[i][j]=min(dp[i-1][j],dp[i][j-1])+nums[i][j] :param grid: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_065794 | 2,097 | no_license | [
{
"docstring": ":type grid: List[List[int]] :rtype: int dp方程二维：试试一维的？？？",
"name": "minPathSum",
"signature": "def minPathSum(self, grid)"
},
{
"docstring": "dp[i][j]=min(dp[i-1][j],dp[i][j-1])+nums[i][j] :param grid: :return:",
"name": "test1",
"signature": "def test1(self, grid)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum(self, grid): :type grid: List[List[int]] :rtype: int dp方程二维：试试一维的？？？
- def test1(self, grid): dp[i][j]=min(dp[i-1][j],dp[i][j-1])+nums[i][j] :param grid: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum(self, grid): :type grid: List[List[int]] :rtype: int dp方程二维：试试一维的？？？
- def test1(self, grid): dp[i][j]=min(dp[i-1][j],dp[i][j-1])+nums[i][j] :param grid: :return:
... | 069bb0b751ef7f469036b9897436eb5d138ffa24 | <|skeleton|>
class Solution:
def minPathSum(self, grid):
""":type grid: List[List[int]] :rtype: int dp方程二维：试试一维的？？？"""
<|body_0|>
def test1(self, grid):
"""dp[i][j]=min(dp[i-1][j],dp[i][j-1])+nums[i][j] :param grid: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minPathSum(self, grid):
""":type grid: List[List[int]] :rtype: int dp方程二维：试试一维的？？？"""
row, col = (len(grid), len(grid[0]))
dp = [[0] * col] * row
for i in range(row):
for j in range(col):
if i == 0:
if j == 0:
... | the_stack_v2_python_sparse | 算法/动态规划/最小路径和.py | RichieSong/algorithm | train | 0 | |
54ac5436b36db3362a194a5fae5345cda49bf510 | [
"if isinstance(key, int):\n return RouterAlert(key)\nif key not in RouterAlert._member_map_:\n extend_enum(RouterAlert, key, default)\nreturn RouterAlert[key]",
"if not (isinstance(value, int) and 0 <= value <= 65535):\n raise ValueError('%r is not a valid %s' % (value, cls.__name__))\nif 66 <= value <= ... | <|body_start_0|>
if isinstance(key, int):
return RouterAlert(key)
if key not in RouterAlert._member_map_:
extend_enum(RouterAlert, key, default)
return RouterAlert[key]
<|end_body_0|>
<|body_start_1|>
if not (isinstance(value, int) and 0 <= value <= 65535):
... | [RouterAlert] IPv4 Router Alert Option Values | RouterAlert | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RouterAlert:
"""[RouterAlert] IPv4 Router Alert Option Values"""
def get(key, default=-1):
"""Backport support for original codes."""
<|body_0|>
def _missing_(cls, value):
"""Lookup function used when value is not found."""
<|body_1|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_75kplus_train_065795 | 6,502 | permissive | [
{
"docstring": "Backport support for original codes.",
"name": "get",
"signature": "def get(key, default=-1)"
},
{
"docstring": "Lookup function used when value is not found.",
"name": "_missing_",
"signature": "def _missing_(cls, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013195 | Implement the Python class `RouterAlert` described below.
Class description:
[RouterAlert] IPv4 Router Alert Option Values
Method signatures and docstrings:
- def get(key, default=-1): Backport support for original codes.
- def _missing_(cls, value): Lookup function used when value is not found. | Implement the Python class `RouterAlert` described below.
Class description:
[RouterAlert] IPv4 Router Alert Option Values
Method signatures and docstrings:
- def get(key, default=-1): Backport support for original codes.
- def _missing_(cls, value): Lookup function used when value is not found.
<|skeleton|>
class R... | 71363d7948003fec88cedcf5bc80b6befa2ba244 | <|skeleton|>
class RouterAlert:
"""[RouterAlert] IPv4 Router Alert Option Values"""
def get(key, default=-1):
"""Backport support for original codes."""
<|body_0|>
def _missing_(cls, value):
"""Lookup function used when value is not found."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RouterAlert:
"""[RouterAlert] IPv4 Router Alert Option Values"""
def get(key, default=-1):
"""Backport support for original codes."""
if isinstance(key, int):
return RouterAlert(key)
if key not in RouterAlert._member_map_:
extend_enum(RouterAlert, key, defa... | the_stack_v2_python_sparse | pcapkit/const/ipv4/router_alert.py | hiok2000/PyPCAPKit | train | 0 |
eae7869fdc8163dce9c31051a4e39b7f98cc0330 | [
"self.main_window = QtGui.QWidget()\nself.gui = Gui()\nself.gui.setupUi(self.main_window)\nself.gui.drawing_widget.mousePressEvent = self.mouse_press\nself.gui.drawing_widget.paintEvent = self.paint_event\nself.ttt = TicTacToeModel()",
"w = self.gui.drawing_widget.width() // 3\nh = self.gui.drawing_widget.height(... | <|body_start_0|>
self.main_window = QtGui.QWidget()
self.gui = Gui()
self.gui.setupUi(self.main_window)
self.gui.drawing_widget.mousePressEvent = self.mouse_press
self.gui.drawing_widget.paintEvent = self.paint_event
self.ttt = TicTacToeModel()
<|end_body_0|>
<|body_star... | Application class to create and control the gui. This version implements the Tic Tac Toe game using a drawing widget. | App | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class App:
"""Application class to create and control the gui. This version implements the Tic Tac Toe game using a drawing widget."""
def __init__(self):
"""Initialize the gui."""
<|body_0|>
def mouse_press(self, event):
"""Called automatically whenever the drawing wi... | stack_v2_sparse_classes_75kplus_train_065796 | 4,727 | no_license | [
{
"docstring": "Initialize the gui.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Called automatically whenever the drawing widget is clicked. :param PyQt.QtGui.QMouseEvent event: The event object from PyQt. :return: None",
"name": "mouse_press",
"signature":... | 3 | stack_v2_sparse_classes_30k_train_051222 | Implement the Python class `App` described below.
Class description:
Application class to create and control the gui. This version implements the Tic Tac Toe game using a drawing widget.
Method signatures and docstrings:
- def __init__(self): Initialize the gui.
- def mouse_press(self, event): Called automatically wh... | Implement the Python class `App` described below.
Class description:
Application class to create and control the gui. This version implements the Tic Tac Toe game using a drawing widget.
Method signatures and docstrings:
- def __init__(self): Initialize the gui.
- def mouse_press(self, event): Called automatically wh... | 0e3470085083012f893adb22aa46d46039016965 | <|skeleton|>
class App:
"""Application class to create and control the gui. This version implements the Tic Tac Toe game using a drawing widget."""
def __init__(self):
"""Initialize the gui."""
<|body_0|>
def mouse_press(self, event):
"""Called automatically whenever the drawing wi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class App:
"""Application class to create and control the gui. This version implements the Tic Tac Toe game using a drawing widget."""
def __init__(self):
"""Initialize the gui."""
self.main_window = QtGui.QWidget()
self.gui = Gui()
self.gui.setupUi(self.main_window)
sel... | the_stack_v2_python_sparse | CS_210 (Introduction to Programming)/TicTacToe/DrawApp.py | JacobOrner/USAFA | train | 0 |
c26c2039ea0afa6f699a7decc83a72fff7344846 | [
"tiles = data_input('test_data')\nresult = part_1(tiles)\nself.assertEqual(result, 20899048083289)",
"tiles = data_input('data')\nresult = part_1(tiles)\nself.assertEqual(result, 18482479935793)",
"tiles = data_input('test_data')\nresult = part_2(tiles)\nself.assertEqual(result, 273)",
"tiles = data_input('da... | <|body_start_0|>
tiles = data_input('test_data')
result = part_1(tiles)
self.assertEqual(result, 20899048083289)
<|end_body_0|>
<|body_start_1|>
tiles = data_input('data')
result = part_1(tiles)
self.assertEqual(result, 18482479935793)
<|end_body_1|>
<|body_start_2|>
... | () | TestAoC20 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAoC20:
"""()"""
def test_part_1_1(self):
"""()"""
<|body_0|>
def test_part_1_2(self):
"""()"""
<|body_1|>
def test_part_2_1(self):
"""()"""
<|body_2|>
def test_part_2_2(self):
"""()"""
<|body_3|>
<|end_skelet... | stack_v2_sparse_classes_75kplus_train_065797 | 953 | no_license | [
{
"docstring": "()",
"name": "test_part_1_1",
"signature": "def test_part_1_1(self)"
},
{
"docstring": "()",
"name": "test_part_1_2",
"signature": "def test_part_1_2(self)"
},
{
"docstring": "()",
"name": "test_part_2_1",
"signature": "def test_part_2_1(self)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_027259 | Implement the Python class `TestAoC20` described below.
Class description:
()
Method signatures and docstrings:
- def test_part_1_1(self): ()
- def test_part_1_2(self): ()
- def test_part_2_1(self): ()
- def test_part_2_2(self): () | Implement the Python class `TestAoC20` described below.
Class description:
()
Method signatures and docstrings:
- def test_part_1_1(self): ()
- def test_part_1_2(self): ()
- def test_part_2_1(self): ()
- def test_part_2_2(self): ()
<|skeleton|>
class TestAoC20:
"""()"""
def test_part_1_1(self):
"""(... | 934c1c45daf189ce2f517b70abe896fedb152b88 | <|skeleton|>
class TestAoC20:
"""()"""
def test_part_1_1(self):
"""()"""
<|body_0|>
def test_part_1_2(self):
"""()"""
<|body_1|>
def test_part_2_1(self):
"""()"""
<|body_2|>
def test_part_2_2(self):
"""()"""
<|body_3|>
<|end_skelet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestAoC20:
"""()"""
def test_part_1_1(self):
"""()"""
tiles = data_input('test_data')
result = part_1(tiles)
self.assertEqual(result, 20899048083289)
def test_part_1_2(self):
"""()"""
tiles = data_input('data')
result = part_1(tiles)
se... | the_stack_v2_python_sparse | 20/test.py | iveL91/Advent-of-Code-2020 | train | 0 |
2bb911741c43493ffe36ce3a1e048036384ad70e | [
"user = get_a_user(userpermissionid)\nif not user:\n api.abort(404)\nelse:\n return user\ndata = request.json\nreturn get_a_user(data=data)",
"user = complete_users(userpermissionid)\nif not user:\n api.abort(404)\nelse:\n return user\ndata = request.json\nreturn complete_users(data=data)",
"user = ... | <|body_start_0|>
user = get_a_user(userpermissionid)
if not user:
api.abort(404)
else:
return user
data = request.json
return get_a_user(data=data)
<|end_body_0|>
<|body_start_1|>
user = complete_users(userpermissionid)
if not user:
... | UserPermissions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserPermissions:
def get(self, userpermissionid):
"""get a UserPermissions given its identifier"""
<|body_0|>
def put(self, userpermissionid):
"""UserPermissions updated"""
<|body_1|>
def delete(self, userpermissionid):
"""UserPermissions deleted... | stack_v2_sparse_classes_75kplus_train_065798 | 2,909 | no_license | [
{
"docstring": "get a UserPermissions given its identifier",
"name": "get",
"signature": "def get(self, userpermissionid)"
},
{
"docstring": "UserPermissions updated",
"name": "put",
"signature": "def put(self, userpermissionid)"
},
{
"docstring": "UserPermissions deleted",
"... | 3 | stack_v2_sparse_classes_30k_train_047369 | Implement the Python class `UserPermissions` described below.
Class description:
Implement the UserPermissions class.
Method signatures and docstrings:
- def get(self, userpermissionid): get a UserPermissions given its identifier
- def put(self, userpermissionid): UserPermissions updated
- def delete(self, userpermis... | Implement the Python class `UserPermissions` described below.
Class description:
Implement the UserPermissions class.
Method signatures and docstrings:
- def get(self, userpermissionid): get a UserPermissions given its identifier
- def put(self, userpermissionid): UserPermissions updated
- def delete(self, userpermis... | 4fa4042304ee01cf23ecc81f9c27977fd12c31b9 | <|skeleton|>
class UserPermissions:
def get(self, userpermissionid):
"""get a UserPermissions given its identifier"""
<|body_0|>
def put(self, userpermissionid):
"""UserPermissions updated"""
<|body_1|>
def delete(self, userpermissionid):
"""UserPermissions deleted... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserPermissions:
def get(self, userpermissionid):
"""get a UserPermissions given its identifier"""
user = get_a_user(userpermissionid)
if not user:
api.abort(404)
else:
return user
data = request.json
return get_a_user(data=data)
def... | the_stack_v2_python_sparse | main/controller/userpermissions_controller.py | Gauravkumar45/Flask-RESTPlus-API | train | 0 | |
5967c62b1c50829697d646938c6300e20a73a443 | [
"try:\n params = request._serialize()\n headers = request.headers\n body = self.call('CancelTask', params, headers=headers)\n response = json.loads(body)\n model = models.CancelTaskResponse()\n model._deserialize(response['Response'])\n return model\nexcept Exception as e:\n if isinstance(e,... | <|body_start_0|>
try:
params = request._serialize()
headers = request.headers
body = self.call('CancelTask', params, headers=headers)
response = json.loads(body)
model = models.CancelTaskResponse()
model._deserialize(response['Response'])
... | VmClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VmClient:
def CancelTask(self, request):
"""This API is used to cancel a moderation task. It will return the `TaskId` of the task after the task is canceled successfully.<br> Default API request rate limit: **20 requests/sec**. :param request: Request instance for CancelTask. :type reque... | stack_v2_sparse_classes_75kplus_train_065799 | 9,643 | no_license | [
{
"docstring": "This API is used to cancel a moderation task. It will return the `TaskId` of the task after the task is canceled successfully.<br> Default API request rate limit: **20 requests/sec**. :param request: Request instance for CancelTask. :type request: :class:`tencentcloud.vm.v20201229.models.CancelT... | 4 | null | Implement the Python class `VmClient` described below.
Class description:
Implement the VmClient class.
Method signatures and docstrings:
- def CancelTask(self, request): This API is used to cancel a moderation task. It will return the `TaskId` of the task after the task is canceled successfully.<br> Default API requ... | Implement the Python class `VmClient` described below.
Class description:
Implement the VmClient class.
Method signatures and docstrings:
- def CancelTask(self, request): This API is used to cancel a moderation task. It will return the `TaskId` of the task after the task is canceled successfully.<br> Default API requ... | 042b4d7fb609d4d240728197901b46008b35d4b0 | <|skeleton|>
class VmClient:
def CancelTask(self, request):
"""This API is used to cancel a moderation task. It will return the `TaskId` of the task after the task is canceled successfully.<br> Default API request rate limit: **20 requests/sec**. :param request: Request instance for CancelTask. :type reque... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VmClient:
def CancelTask(self, request):
"""This API is used to cancel a moderation task. It will return the `TaskId` of the task after the task is canceled successfully.<br> Default API request rate limit: **20 requests/sec**. :param request: Request instance for CancelTask. :type request: :class:`te... | the_stack_v2_python_sparse | tencentcloud/vm/v20201229/vm_client.py | TencentCloud/tencentcloud-sdk-python-intl-en | train | 4 |
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