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value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
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value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1b3eeae246ef6d8d8f3eb8ee193d45d7b3251bcc | [
"self.screen_width = 1200\nself.screen_height = 800\nself.bg_color = (135, 206, 255)\nself.ship_limit = 3\nself.bullet_width = 3\nself.bullet_height = 15\nself.bullet_color = (255, 0, 0)\nself.bullets_allowed = 3\nself.fleet_drop_speed = 5\nself.speedup_scale = 1.1\nself.score_scale = 1.5\nself.initialize_dynamic_s... | <|body_start_0|>
self.screen_width = 1200
self.screen_height = 800
self.bg_color = (135, 206, 255)
self.ship_limit = 3
self.bullet_width = 3
self.bullet_height = 15
self.bullet_color = (255, 0, 0)
self.bullets_allowed = 3
self.fleet_drop_speed = 5
... | 存储游戏中所有设置的类 | Settings | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Settings:
"""存储游戏中所有设置的类"""
def __init__(self):
"""初始化游戏的静态设置"""
<|body_0|>
def initialize_dynamic_settings(self):
"""初始化游戏的动态设置"""
<|body_1|>
def increase_speed(self):
"""提高速度设置和外星人分数"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_75kplus_train_071600 | 1,072 | no_license | [
{
"docstring": "初始化游戏的静态设置",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "初始化游戏的动态设置",
"name": "initialize_dynamic_settings",
"signature": "def initialize_dynamic_settings(self)"
},
{
"docstring": "提高速度设置和外星人分数",
"name": "increase_speed",
"sign... | 3 | stack_v2_sparse_classes_30k_train_011157 | Implement the Python class `Settings` described below.
Class description:
存储游戏中所有设置的类
Method signatures and docstrings:
- def __init__(self): 初始化游戏的静态设置
- def initialize_dynamic_settings(self): 初始化游戏的动态设置
- def increase_speed(self): 提高速度设置和外星人分数 | Implement the Python class `Settings` described below.
Class description:
存储游戏中所有设置的类
Method signatures and docstrings:
- def __init__(self): 初始化游戏的静态设置
- def initialize_dynamic_settings(self): 初始化游戏的动态设置
- def increase_speed(self): 提高速度设置和外星人分数
<|skeleton|>
class Settings:
"""存储游戏中所有设置的类"""
def __init__(se... | 1f5f05a90c854ed96b5fd839146fa30a6b33ad61 | <|skeleton|>
class Settings:
"""存储游戏中所有设置的类"""
def __init__(self):
"""初始化游戏的静态设置"""
<|body_0|>
def initialize_dynamic_settings(self):
"""初始化游戏的动态设置"""
<|body_1|>
def increase_speed(self):
"""提高速度设置和外星人分数"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Settings:
"""存储游戏中所有设置的类"""
def __init__(self):
"""初始化游戏的静态设置"""
self.screen_width = 1200
self.screen_height = 800
self.bg_color = (135, 206, 255)
self.ship_limit = 3
self.bullet_width = 3
self.bullet_height = 15
self.bullet_color = (255, 0,... | the_stack_v2_python_sparse | course/alien_invasion/settings.py | Gct96/python_practices | train | 0 |
cb108ac7ae2f8877691df663e0b631d7d5d8c7de | [
"self.df = df\nself.tokenizer = tokenizer\nself.lenght = len(df)\nself.a_fold_length = self.lenght // k\nself.fold_k = k\nself.collect_fn = PadCollate(self.tokenizer)\nself.nclass = nclass\nself.max_len = max_len\nself.batch_size = batch_size\nself.label_smoothing = label_smoothing\nself.eda_alpha = eda_alpha\nself... | <|body_start_0|>
self.df = df
self.tokenizer = tokenizer
self.lenght = len(df)
self.a_fold_length = self.lenght // k
self.fold_k = k
self.collect_fn = PadCollate(self.tokenizer)
self.nclass = nclass
self.max_len = max_len
self.batch_size = batch_si... | K Fold Data Loader | KFoldDataLoader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KFoldDataLoader:
"""K Fold Data Loader"""
def __init__(self, df, tokenizer, batch_size=128, k=5, nclass=17, max_len=70, label_smoothing=0, eda_alpha=0, n_aug=0):
"""args: k - k Folder, default = 5 df - dataFrame, should have three column ['id','report','label']"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_071601 | 3,276 | no_license | [
{
"docstring": "args: k - k Folder, default = 5 df - dataFrame, should have three column ['id','report','label']",
"name": "__init__",
"signature": "def __init__(self, df, tokenizer, batch_size=128, k=5, nclass=17, max_len=70, label_smoothing=0, eda_alpha=0, n_aug=0)"
},
{
"docstring": "Get ith ... | 2 | null | Implement the Python class `KFoldDataLoader` described below.
Class description:
K Fold Data Loader
Method signatures and docstrings:
- def __init__(self, df, tokenizer, batch_size=128, k=5, nclass=17, max_len=70, label_smoothing=0, eda_alpha=0, n_aug=0): args: k - k Folder, default = 5 df - dataFrame, should have th... | Implement the Python class `KFoldDataLoader` described below.
Class description:
K Fold Data Loader
Method signatures and docstrings:
- def __init__(self, df, tokenizer, batch_size=128, k=5, nclass=17, max_len=70, label_smoothing=0, eda_alpha=0, n_aug=0): args: k - k Folder, default = 5 df - dataFrame, should have th... | 4fb32c7799f060042841a62f146ccfe731b98def | <|skeleton|>
class KFoldDataLoader:
"""K Fold Data Loader"""
def __init__(self, df, tokenizer, batch_size=128, k=5, nclass=17, max_len=70, label_smoothing=0, eda_alpha=0, n_aug=0):
"""args: k - k Folder, default = 5 df - dataFrame, should have three column ['id','report','label']"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KFoldDataLoader:
"""K Fold Data Loader"""
def __init__(self, df, tokenizer, batch_size=128, k=5, nclass=17, max_len=70, label_smoothing=0, eda_alpha=0, n_aug=0):
"""args: k - k Folder, default = 5 df - dataFrame, should have three column ['id','report','label']"""
self.df = df
sel... | the_stack_v2_python_sparse | code/utils/bert_kFoldData.py | XuHangkun/tianchi_channel_1 | train | 0 |
dd02b6a9510b09d4445899b0fb378eb90158609d | [
"if not root:\n return True\nif abs(self.getDepth(root.left) - self.getDepth(root.right)) > 1:\n return False\nreturn self.isBalanced(root.left) and self.isBalanced(root.right)",
"if not root:\n return 0\nreturn 1 + max(self.getDepth(root.left), self.getDepth(root.right))"
] | <|body_start_0|>
if not root:
return True
if abs(self.getDepth(root.left) - self.getDepth(root.right)) > 1:
return False
return self.isBalanced(root.left) and self.isBalanced(root.right)
<|end_body_0|>
<|body_start_1|>
if not root:
return 0
re... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isBalanced(self, root):
"""递归比较各个节点的左孩子和右孩子 :type root: TreeNode :rtype: bool"""
<|body_0|>
def getDepth(self, root):
"""求出节点深度 :param root: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
return True
... | stack_v2_sparse_classes_75kplus_train_071602 | 792 | no_license | [
{
"docstring": "递归比较各个节点的左孩子和右孩子 :type root: TreeNode :rtype: bool",
"name": "isBalanced",
"signature": "def isBalanced(self, root)"
},
{
"docstring": "求出节点深度 :param root: :return:",
"name": "getDepth",
"signature": "def getDepth(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_051653 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isBalanced(self, root): 递归比较各个节点的左孩子和右孩子 :type root: TreeNode :rtype: bool
- def getDepth(self, root): 求出节点深度 :param root: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isBalanced(self, root): 递归比较各个节点的左孩子和右孩子 :type root: TreeNode :rtype: bool
- def getDepth(self, root): 求出节点深度 :param root: :return:
<|skeleton|>
class Solution:
def isB... | e2699a43e9f7aecc475e21a4b2582c6ee3b41a1c | <|skeleton|>
class Solution:
def isBalanced(self, root):
"""递归比较各个节点的左孩子和右孩子 :type root: TreeNode :rtype: bool"""
<|body_0|>
def getDepth(self, root):
"""求出节点深度 :param root: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isBalanced(self, root):
"""递归比较各个节点的左孩子和右孩子 :type root: TreeNode :rtype: bool"""
if not root:
return True
if abs(self.getDepth(root.left) - self.getDepth(root.right)) > 1:
return False
return self.isBalanced(root.left) and self.isBalanced(r... | the_stack_v2_python_sparse | leetcode/二叉树/平衡二叉树.py | xxNB/sword-offer | train | 0 | |
90632c3b9b52636363679c8089bf38ba0b2af845 | [
"topic = model.Topic(18, 'New Topic')\nactual = json.loads(json.dumps(topic, cls=codec.TopicEncoder))\nexpected = [18, 'New Topic']\nself.assertEqual(expected, actual)",
"ts = datetime.datetime(2018, 1, 1)\ndatum = model.Datum(ts, 18, 'value')\nactual = json.loads(json.dumps(datum, cls=codec.DatumEncoder))\nexpec... | <|body_start_0|>
topic = model.Topic(18, 'New Topic')
actual = json.loads(json.dumps(topic, cls=codec.TopicEncoder))
expected = [18, 'New Topic']
self.assertEqual(expected, actual)
<|end_body_0|>
<|body_start_1|>
ts = datetime.datetime(2018, 1, 1)
datum = model.Datum(ts,... | A test case for codec operations. | CodecTestCase | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CodecTestCase:
"""A test case for codec operations."""
def test_encode_topic(self):
"""Encodes a Topic object and ensures it has the correct representation."""
<|body_0|>
def test_encode_datum(self):
"""Encodes a Datum object and ensures it has the correct repres... | stack_v2_sparse_classes_75kplus_train_071603 | 826 | permissive | [
{
"docstring": "Encodes a Topic object and ensures it has the correct representation.",
"name": "test_encode_topic",
"signature": "def test_encode_topic(self)"
},
{
"docstring": "Encodes a Datum object and ensures it has the correct representation.",
"name": "test_encode_datum",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_000659 | Implement the Python class `CodecTestCase` described below.
Class description:
A test case for codec operations.
Method signatures and docstrings:
- def test_encode_topic(self): Encodes a Topic object and ensures it has the correct representation.
- def test_encode_datum(self): Encodes a Datum object and ensures it h... | Implement the Python class `CodecTestCase` described below.
Class description:
A test case for codec operations.
Method signatures and docstrings:
- def test_encode_topic(self): Encodes a Topic object and ensures it has the correct representation.
- def test_encode_datum(self): Encodes a Datum object and ensures it h... | cbdf9294c4851ed6bd3e0a19f86eb7518df45c15 | <|skeleton|>
class CodecTestCase:
"""A test case for codec operations."""
def test_encode_topic(self):
"""Encodes a Topic object and ensures it has the correct representation."""
<|body_0|>
def test_encode_datum(self):
"""Encodes a Datum object and ensures it has the correct repres... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CodecTestCase:
"""A test case for codec operations."""
def test_encode_topic(self):
"""Encodes a Topic object and ensures it has the correct representation."""
topic = model.Topic(18, 'New Topic')
actual = json.loads(json.dumps(topic, cls=codec.TopicEncoder))
expected = [1... | the_stack_v2_python_sparse | src/server/codec_test.py | jerome9189/lotus-leaf | train | 0 |
48bb32d6a2610239a9482847456bb0f2eb8db28c | [
"if not non_terminal(start_variable):\n raise ValueError('The start variable must not be terminal')\nself._start_variable = start_variable\nself.deriv_rules = {}",
"if not non_terminal(left):\n raise ValueError('The left side must be non terminal')\nif left not in self.deriv_rules and type(right) == list:\n... | <|body_start_0|>
if not non_terminal(start_variable):
raise ValueError('The start variable must not be terminal')
self._start_variable = start_variable
self.deriv_rules = {}
<|end_body_0|>
<|body_start_1|>
if not non_terminal(left):
raise ValueError('The left sid... | Class representing a CF grammar. | Grammar | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Grammar:
"""Class representing a CF grammar."""
def __init__(self, start_variable):
"""Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals."""
<|body_0|>
def add_rule(self, left, right):
"""Add a new derivation rule to... | stack_v2_sparse_classes_75kplus_train_071604 | 5,080 | no_license | [
{
"docstring": "Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.",
"name": "__init__",
"signature": "def __init__(self, start_variable)"
},
{
"docstring": "Add a new derivation rule to the grammar. :param left: the left side of the rule, a non ter... | 5 | stack_v2_sparse_classes_30k_train_005475 | Implement the Python class `Grammar` described below.
Class description:
Class representing a CF grammar.
Method signatures and docstrings:
- def __init__(self, start_variable): Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.
- def add_rule(self, left, right): Add a n... | Implement the Python class `Grammar` described below.
Class description:
Class representing a CF grammar.
Method signatures and docstrings:
- def __init__(self, start_variable): Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals.
- def add_rule(self, left, right): Add a n... | 310ab38aa6b2fc573e3530816bfbfd02ac1a0936 | <|skeleton|>
class Grammar:
"""Class representing a CF grammar."""
def __init__(self, start_variable):
"""Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals."""
<|body_0|>
def add_rule(self, left, right):
"""Add a new derivation rule to... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Grammar:
"""Class representing a CF grammar."""
def __init__(self, start_variable):
"""Initialize a Grammar object. :param start_variable: The start variable, one of the non-terminals."""
if not non_terminal(start_variable):
raise ValueError('The start variable must not be ter... | the_stack_v2_python_sparse | 4Sucipto_Lunkyadi.py | galezon/TheoryAlgorithms | train | 1 |
3159d07ca79c6c349e63b201ac32ba3f921e38c3 | [
"rqst = Request(cls.session, 'GET', '/resource/watcher')\nrqst.set_json({'agent_id': agent_id})\nasync with rqst.fetch() as resp:\n data = await resp.json()\n if 'message' in data:\n return data['message']\n else:\n return data",
"rqst = Request(cls.session, 'POST', '/resource/watcher/agent... | <|body_start_0|>
rqst = Request(cls.session, 'GET', '/resource/watcher')
rqst.set_json({'agent_id': agent_id})
async with rqst.fetch() as resp:
data = await resp.json()
if 'message' in data:
return data['message']
else:
return d... | Provides a shortcut of :func:`Admin.query() <ai.backend.client.admin.Admin.query>` that manipulate agent status. .. note:: All methods in this function class require you to have the *superadmin* privilege. | AgentWatcher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AgentWatcher:
"""Provides a shortcut of :func:`Admin.query() <ai.backend.client.admin.Admin.query>` that manipulate agent status. .. note:: All methods in this function class require you to have the *superadmin* privilege."""
async def get_status(cls, agent_id: str) -> dict:
"""Get a... | stack_v2_sparse_classes_75kplus_train_071605 | 5,301 | permissive | [
{
"docstring": "Get agent and watcher status.",
"name": "get_status",
"signature": "async def get_status(cls, agent_id: str) -> dict"
},
{
"docstring": "Start agent.",
"name": "agent_start",
"signature": "async def agent_start(cls, agent_id: str) -> dict"
},
{
"docstring": "Stop ... | 4 | stack_v2_sparse_classes_30k_train_016152 | Implement the Python class `AgentWatcher` described below.
Class description:
Provides a shortcut of :func:`Admin.query() <ai.backend.client.admin.Admin.query>` that manipulate agent status. .. note:: All methods in this function class require you to have the *superadmin* privilege.
Method signatures and docstrings:
... | Implement the Python class `AgentWatcher` described below.
Class description:
Provides a shortcut of :func:`Admin.query() <ai.backend.client.admin.Admin.query>` that manipulate agent status. .. note:: All methods in this function class require you to have the *superadmin* privilege.
Method signatures and docstrings:
... | 91a80cb5b1ebec52016db7e976571949386e6bda | <|skeleton|>
class AgentWatcher:
"""Provides a shortcut of :func:`Admin.query() <ai.backend.client.admin.Admin.query>` that manipulate agent status. .. note:: All methods in this function class require you to have the *superadmin* privilege."""
async def get_status(cls, agent_id: str) -> dict:
"""Get a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AgentWatcher:
"""Provides a shortcut of :func:`Admin.query() <ai.backend.client.admin.Admin.query>` that manipulate agent status. .. note:: All methods in this function class require you to have the *superadmin* privilege."""
async def get_status(cls, agent_id: str) -> dict:
"""Get agent and watc... | the_stack_v2_python_sparse | src/ai/backend/client/func/agent.py | dexterastin/backend.ai-client-py | train | 0 |
6d11d78fff02fb7571563af224e71110fffe64cf | [
"super(FuturesSession, self).__init__(*args, **kwargs)\nif executor is None:\n executor = ThreadPoolExecutor(max_workers=max_workers)\n if max_workers > DEFAULT_POOLSIZE:\n adapter_kwargs = dict(pool_connections=max_workers, pool_maxsize=max_workers)\n self.mount('https://', HTTPAdapter(**adapte... | <|body_start_0|>
super(FuturesSession, self).__init__(*args, **kwargs)
if executor is None:
executor = ThreadPoolExecutor(max_workers=max_workers)
if max_workers > DEFAULT_POOLSIZE:
adapter_kwargs = dict(pool_connections=max_workers, pool_maxsize=max_workers)
... | FuturesSession | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FuturesSession:
def __init__(self, executor=None, max_workers=2, *args, **kwargs):
"""Creates a FuturesSession Notes ~~~~~ * ProcessPoolExecutor is not supported b/c Response objects are not picklable. * If you provide both `executor` and `max_workers`, the latter is ignored and provided... | stack_v2_sparse_classes_75kplus_train_071606 | 5,711 | no_license | [
{
"docstring": "Creates a FuturesSession Notes ~~~~~ * ProcessPoolExecutor is not supported b/c Response objects are not picklable. * If you provide both `executor` and `max_workers`, the latter is ignored and provided executor is used as is.",
"name": "__init__",
"signature": "def __init__(self, execut... | 2 | stack_v2_sparse_classes_30k_train_018530 | Implement the Python class `FuturesSession` described below.
Class description:
Implement the FuturesSession class.
Method signatures and docstrings:
- def __init__(self, executor=None, max_workers=2, *args, **kwargs): Creates a FuturesSession Notes ~~~~~ * ProcessPoolExecutor is not supported b/c Response objects ar... | Implement the Python class `FuturesSession` described below.
Class description:
Implement the FuturesSession class.
Method signatures and docstrings:
- def __init__(self, executor=None, max_workers=2, *args, **kwargs): Creates a FuturesSession Notes ~~~~~ * ProcessPoolExecutor is not supported b/c Response objects ar... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class FuturesSession:
def __init__(self, executor=None, max_workers=2, *args, **kwargs):
"""Creates a FuturesSession Notes ~~~~~ * ProcessPoolExecutor is not supported b/c Response objects are not picklable. * If you provide both `executor` and `max_workers`, the latter is ignored and provided... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FuturesSession:
def __init__(self, executor=None, max_workers=2, *args, **kwargs):
"""Creates a FuturesSession Notes ~~~~~ * ProcessPoolExecutor is not supported b/c Response objects are not picklable. * If you provide both `executor` and `max_workers`, the latter is ignored and provided executor is u... | the_stack_v2_python_sparse | repoData/ross-requests-futures/allPythonContent.py | aCoffeeYin/pyreco | train | 0 | |
36a37cef169de655c057c2c1c402b2aba722e690 | [
"create_test_account(self)\nlogin_test_account(self)\npaste = upload_test_paste(self)\nuser = User.objects.get(username='TestUser')\nuser.is_staff = True\nuser.is_superuser = True\nuser.save()\nresponse = self.client.post(reverse('pastes:report_paste', kwargs={'char_id': paste}), {'text': 'This is a report for the ... | <|body_start_0|>
create_test_account(self)
login_test_account(self)
paste = upload_test_paste(self)
user = User.objects.get(username='TestUser')
user.is_staff = True
user.is_superuser = True
user.save()
response = self.client.post(reverse('pastes:report_pa... | PasteAdminTests | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PasteAdminTests:
def test_report_ignored_correctly(self):
"""Submit a paste report and ignore it"""
<|body_0|>
def test_report_removed_correctly(self):
"""Submit a paste report and remove the offending paste"""
<|body_1|>
def test_report_deleted_correctl... | stack_v2_sparse_classes_75kplus_train_071607 | 17,949 | permissive | [
{
"docstring": "Submit a paste report and ignore it",
"name": "test_report_ignored_correctly",
"signature": "def test_report_ignored_correctly(self)"
},
{
"docstring": "Submit a paste report and remove the offending paste",
"name": "test_report_removed_correctly",
"signature": "def test_... | 4 | stack_v2_sparse_classes_30k_train_001461 | Implement the Python class `PasteAdminTests` described below.
Class description:
Implement the PasteAdminTests class.
Method signatures and docstrings:
- def test_report_ignored_correctly(self): Submit a paste report and ignore it
- def test_report_removed_correctly(self): Submit a paste report and remove the offendi... | Implement the Python class `PasteAdminTests` described below.
Class description:
Implement the PasteAdminTests class.
Method signatures and docstrings:
- def test_report_ignored_correctly(self): Submit a paste report and ignore it
- def test_report_removed_correctly(self): Submit a paste report and remove the offendi... | 5e38637e5a417ab907a353af8544f64a0ad2b127 | <|skeleton|>
class PasteAdminTests:
def test_report_ignored_correctly(self):
"""Submit a paste report and ignore it"""
<|body_0|>
def test_report_removed_correctly(self):
"""Submit a paste report and remove the offending paste"""
<|body_1|>
def test_report_deleted_correctl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PasteAdminTests:
def test_report_ignored_correctly(self):
"""Submit a paste report and ignore it"""
create_test_account(self)
login_test_account(self)
paste = upload_test_paste(self)
user = User.objects.get(username='TestUser')
user.is_staff = True
user.... | the_stack_v2_python_sparse | pastes/tests.py | xeddmc/pastebin-django | train | 0 | |
85085b822c9b11af9aabeef824a0293cf484a0a6 | [
"self.time_frame = time_frame\nself.max_requests = max_requests\nself.verbose = verbose\nself._requests = deque([])\nself._client, self._db = (None, None)\nself._mongo_coll, self._output_file = (None, None)\nself._connection_type = None",
"try:\n self._client = MongoClient('mongodb://localhost:%i/' % port)\n ... | <|body_start_0|>
self.time_frame = time_frame
self.max_requests = max_requests
self.verbose = verbose
self._requests = deque([])
self._client, self._db = (None, None)
self._mongo_coll, self._output_file = (None, None)
self._connection_type = None
<|end_body_0|>
<... | RequestScheduler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RequestScheduler:
def __init__(self, time_frame, max_requests, verbose=False):
"""Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds."""
<|body_0|>
def connect_to_mongodb(self, collection_name, port=27017, db_name='twitter-crawle... | stack_v2_sparse_classes_75kplus_train_071608 | 3,151 | no_license | [
{
"docstring": "Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.",
"name": "__init__",
"signature": "def __init__(self, time_frame, max_requests, verbose=False)"
},
{
"docstring": "Connect to MongoDB collection",
"name": "connect_to_mongodb",
... | 6 | stack_v2_sparse_classes_30k_train_048906 | Implement the Python class `RequestScheduler` described below.
Class description:
Implement the RequestScheduler class.
Method signatures and docstrings:
- def __init__(self, time_frame, max_requests, verbose=False): Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.
- d... | Implement the Python class `RequestScheduler` described below.
Class description:
Implement the RequestScheduler class.
Method signatures and docstrings:
- def __init__(self, time_frame, max_requests, verbose=False): Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds.
- d... | feb8cd0099c25b7fb36cb75498d1e205616f345d | <|skeleton|>
class RequestScheduler:
def __init__(self, time_frame, max_requests, verbose=False):
"""Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds."""
<|body_0|>
def connect_to_mongodb(self, collection_name, port=27017, db_name='twitter-crawle... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RequestScheduler:
def __init__(self, time_frame, max_requests, verbose=False):
"""Abstract scheduler object. It enables only 'max_requests' requests in every 'time_frame' seconds."""
self.time_frame = time_frame
self.max_requests = max_requests
self.verbose = verbose
se... | the_stack_v2_python_sparse | python/request_scheduler.py | MolnarAnna22/twitter-crawler | train | 0 | |
0618702a8cf656c2469e54df5f42e60ee222b728 | [
"sn = len(s)\ntn = len(t)\nlists = []\nlistt = []\nif sn != tn:\n return False\nfor i in range(0, sn):\n lists.append(s[i])\nfor j in range(0, tn):\n listt.append(t[j])\nlistt.sort()\nlists.sort()\nif lists == listt:\n return True\nelse:\n return False",
"\"\"\"\n 思路：定义一个26长度的列表，每个元素都是0，在s中进... | <|body_start_0|>
sn = len(s)
tn = len(t)
lists = []
listt = []
if sn != tn:
return False
for i in range(0, sn):
lists.append(s[i])
for j in range(0, tn):
listt.append(t[j])
listt.sort()
lists.sort()
if li... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isAnagram(self, s, t):
""":type s: str :type t: str :rtype: bool"""
<|body_0|>
def isAnagram2(self, s, t):
""":type s: str :type t: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sn = len(s)
tn = len(t)
... | stack_v2_sparse_classes_75kplus_train_071609 | 1,833 | no_license | [
{
"docstring": ":type s: str :type t: str :rtype: bool",
"name": "isAnagram",
"signature": "def isAnagram(self, s, t)"
},
{
"docstring": ":type s: str :type t: str :rtype: bool",
"name": "isAnagram2",
"signature": "def isAnagram2(self, s, t)"
}
] | 2 | stack_v2_sparse_classes_30k_train_039066 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isAnagram(self, s, t): :type s: str :type t: str :rtype: bool
- def isAnagram2(self, s, t): :type s: str :type t: str :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isAnagram(self, s, t): :type s: str :type t: str :rtype: bool
- def isAnagram2(self, s, t): :type s: str :type t: str :rtype: bool
<|skeleton|>
class Solution:
def isAn... | c2250f2c7365976a6767e3c12760474f7a6618eb | <|skeleton|>
class Solution:
def isAnagram(self, s, t):
""":type s: str :type t: str :rtype: bool"""
<|body_0|>
def isAnagram2(self, s, t):
""":type s: str :type t: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isAnagram(self, s, t):
""":type s: str :type t: str :rtype: bool"""
sn = len(s)
tn = len(t)
lists = []
listt = []
if sn != tn:
return False
for i in range(0, sn):
lists.append(s[i])
for j in range(0, tn):
... | the_stack_v2_python_sparse | 242. Valid Anagram/242. Valid Anagram.py | yaolinxia/leetcode_study | train | 0 | |
dcb3401a9110b7c3383f2bb9d596bd8f0e54e97d | [
"outputs = sorted(StreamAlertOutput.get_all_outputs().keys())\nlist_parser = generate_subparser(subparser, 'list', description=cls.description, help=cls.description, subcommand=True)\nlist_parser.add_argument('--service', '-s', choices=outputs, default=outputs, nargs='*', metavar='SERVICE', help='Pass Services to l... | <|body_start_0|>
outputs = sorted(StreamAlertOutput.get_all_outputs().keys())
list_parser = generate_subparser(subparser, 'list', description=cls.description, help=cls.description, subcommand=True)
list_parser.add_argument('--service', '-s', choices=outputs, default=outputs, nargs='*', metavar='... | OutputListSubCommand | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OutputListSubCommand:
def setup_subparser(cls, subparser):
"""Add the output list subparser: manage.py output list [options]"""
<|body_0|>
def handler(cls, options, config):
"""List configured outputs Args: options (argparse.Namespace): Basically a namedtuple with th... | stack_v2_sparse_classes_75kplus_train_071610 | 19,044 | permissive | [
{
"docstring": "Add the output list subparser: manage.py output list [options]",
"name": "setup_subparser",
"signature": "def setup_subparser(cls, subparser)"
},
{
"docstring": "List configured outputs Args: options (argparse.Namespace): Basically a namedtuple with the service setting config (St... | 2 | stack_v2_sparse_classes_30k_train_018884 | Implement the Python class `OutputListSubCommand` described below.
Class description:
Implement the OutputListSubCommand class.
Method signatures and docstrings:
- def setup_subparser(cls, subparser): Add the output list subparser: manage.py output list [options]
- def handler(cls, options, config): List configured o... | Implement the Python class `OutputListSubCommand` described below.
Class description:
Implement the OutputListSubCommand class.
Method signatures and docstrings:
- def setup_subparser(cls, subparser): Add the output list subparser: manage.py output list [options]
- def handler(cls, options, config): List configured o... | 75ba140d2e1aa6e903313d88326920adcb8bff45 | <|skeleton|>
class OutputListSubCommand:
def setup_subparser(cls, subparser):
"""Add the output list subparser: manage.py output list [options]"""
<|body_0|>
def handler(cls, options, config):
"""List configured outputs Args: options (argparse.Namespace): Basically a namedtuple with th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OutputListSubCommand:
def setup_subparser(cls, subparser):
"""Add the output list subparser: manage.py output list [options]"""
outputs = sorted(StreamAlertOutput.get_all_outputs().keys())
list_parser = generate_subparser(subparser, 'list', description=cls.description, help=cls.descrip... | the_stack_v2_python_sparse | streamalert_cli/outputs/handler.py | avmi/streamalert | train | 0 | |
d4fb7af2f12bafbd6483e031b62ade7ccf333eca | [
"stack, result = ([], [])\nnode = root\nwhile stack or node:\n if node:\n stack.append(node)\n result.append(str(node.val))\n node = node.left\n else:\n node = stack.pop().right\nreturn ','.join(result)",
"def helper(ser, bound=float('inf')):\n if not ser:\n return None... | <|body_start_0|>
stack, result = ([], [])
node = root
while stack or node:
if node:
stack.append(node)
result.append(str(node.val))
node = node.left
else:
node = stack.pop().right
return ','.join(resu... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
stack, result ... | stack_v2_sparse_classes_75kplus_train_071611 | 1,871 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_038663 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
<|skeleton|>
class Co... | 085d868ba0458fc8e6b5549aa00fa151c335fa7f | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
stack, result = ([], [])
node = root
while stack or node:
if node:
stack.append(node)
result.append(str(node.val))
node = node... | the_stack_v2_python_sparse | 449-Serialize_and_Deserialize_BST.py | chanyoonzhu/leetcode-python | train | 0 | |
d4de752b567143c95d6d3d044a473a0e108b0c25 | [
"self.trainable_invertible_ica = trainable_invertible_ica\nself.augmenter = ICATransferAugmenter(self.trainable_invertible_ica.get_invertible_ica_model(), novelty_detector=novelty_detector, max_iter=aug_max_iter)\nself.predictor_model = predictor_model\nself.augmentation_size = augmentation_size",
"for evaluator ... | <|body_start_0|>
self.trainable_invertible_ica = trainable_invertible_ica
self.augmenter = ICATransferAugmenter(self.trainable_invertible_ica.get_invertible_ica_model(), novelty_detector=novelty_detector, max_iter=aug_max_iter)
self.predictor_model = predictor_model
self.augmentation_siz... | Implementation of Causal Mechanism Transfer. Takes a trainable nonlinear ICA method object and perform transfer learning. | CausalMechanismTransfer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CausalMechanismTransfer:
"""Implementation of Causal Mechanism Transfer. Takes a trainable nonlinear ICA method object and perform transfer learning."""
def __init__(self, trainable_invertible_ica, predictor_model, novelty_detector=OneClassSVM(nu=0.1, gamma='auto'), aug_max_iter: Optional[in... | stack_v2_sparse_classes_75kplus_train_071612 | 3,102 | permissive | [
{
"docstring": "Build CausalMechanismTransfer object. Parameters ---------- trainable_invertible_ica : object Trainable invertible ICA model for estimating the mechanism function. Required to implement ``train()`` and ``inv()``. predictor_model : object Trainable predictor model to be trained on the augmented d... | 2 | null | Implement the Python class `CausalMechanismTransfer` described below.
Class description:
Implementation of Causal Mechanism Transfer. Takes a trainable nonlinear ICA method object and perform transfer learning.
Method signatures and docstrings:
- def __init__(self, trainable_invertible_ica, predictor_model, novelty_d... | Implement the Python class `CausalMechanismTransfer` described below.
Class description:
Implementation of Causal Mechanism Transfer. Takes a trainable nonlinear ICA method object and perform transfer learning.
Method signatures and docstrings:
- def __init__(self, trainable_invertible_ica, predictor_model, novelty_d... | 2878ced51cfe473aad8fbc1886e2b65dfc9fc060 | <|skeleton|>
class CausalMechanismTransfer:
"""Implementation of Causal Mechanism Transfer. Takes a trainable nonlinear ICA method object and perform transfer learning."""
def __init__(self, trainable_invertible_ica, predictor_model, novelty_detector=OneClassSVM(nu=0.1, gamma='auto'), aug_max_iter: Optional[in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CausalMechanismTransfer:
"""Implementation of Causal Mechanism Transfer. Takes a trainable nonlinear ICA method object and perform transfer learning."""
def __init__(self, trainable_invertible_ica, predictor_model, novelty_detector=OneClassSVM(nu=0.1, gamma='auto'), aug_max_iter: Optional[int]=None, augm... | the_stack_v2_python_sparse | causal_da/algorithm/api.py | SoldierY/few-shot-domain-adaptation-by-causal-mechanism-transfer | train | 0 |
d1ac6c2a5969e92c683b86b29779337e14a7b82e | [
"if self.state_model.op_state in [DevState.ON, DevState.OFF, DevState.DISABLE]:\n tango.Except.throw_exception(f'Reset() is not allowed in current state {self.state_model.op_state}', 'Failed to invoke Reset command on CspSubarrayLeafNode.', 'cspsubarrayleafnode.Reset()', tango.ErrSeverity.ERR)\nreturn True",
"... | <|body_start_0|>
if self.state_model.op_state in [DevState.ON, DevState.OFF, DevState.DISABLE]:
tango.Except.throw_exception(f'Reset() is not allowed in current state {self.state_model.op_state}', 'Failed to invoke Reset command on CspSubarrayLeafNode.', 'cspsubarrayleafnode.Reset()', tango.ErrSever... | A class for CSPSubarrayLeafNode's Reset() command. Command to reset the current operation being done on the CSP Subarray Leaf Node. | ResetCommand | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResetCommand:
"""A class for CSPSubarrayLeafNode's Reset() command. Command to reset the current operation being done on the CSP Subarray Leaf Node."""
def check_allowed(self):
"""Checks whether this command is allowed to be run in current device state :return: True if this command i... | stack_v2_sparse_classes_75kplus_train_071613 | 2,419 | permissive | [
{
"docstring": "Checks whether this command is allowed to be run in current device state :return: True if this command is allowed to be run in current device state :rtype: boolean :raises: DevFailed if this command is not allowed to be run in current device state",
"name": "check_allowed",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_051248 | Implement the Python class `ResetCommand` described below.
Class description:
A class for CSPSubarrayLeafNode's Reset() command. Command to reset the current operation being done on the CSP Subarray Leaf Node.
Method signatures and docstrings:
- def check_allowed(self): Checks whether this command is allowed to be ru... | Implement the Python class `ResetCommand` described below.
Class description:
A class for CSPSubarrayLeafNode's Reset() command. Command to reset the current operation being done on the CSP Subarray Leaf Node.
Method signatures and docstrings:
- def check_allowed(self): Checks whether this command is allowed to be ru... | 7ee65a9c8dada9b28893144b372a398bd0646195 | <|skeleton|>
class ResetCommand:
"""A class for CSPSubarrayLeafNode's Reset() command. Command to reset the current operation being done on the CSP Subarray Leaf Node."""
def check_allowed(self):
"""Checks whether this command is allowed to be run in current device state :return: True if this command i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResetCommand:
"""A class for CSPSubarrayLeafNode's Reset() command. Command to reset the current operation being done on the CSP Subarray Leaf Node."""
def check_allowed(self):
"""Checks whether this command is allowed to be run in current device state :return: True if this command is allowed to ... | the_stack_v2_python_sparse | temp_src/ska_tmc_cspsubarrayleafnode_mid/reset_command.py | ska-telescope/tmc-prototype | train | 4 |
c4c1a7de2ede4f57a6b9369f9275cc188d894722 | [
"Frame.__init__(self, master, bg='white')\nself.master.rowconfigure(0, weight=1)\nself.master.columnconfigure(0, weight=1)\nself.master.title('Project 8 - Framer.py')\nself.grid(sticky=N + S + E + W)\nfor r in range(2):\n self.rowconfigure(r, weight=1)\nfor c in range(5):\n self.columnconfigure(c, weight=1)\n... | <|body_start_0|>
Frame.__init__(self, master, bg='white')
self.master.rowconfigure(0, weight=1)
self.master.columnconfigure(0, weight=1)
self.master.title('Project 8 - Framer.py')
self.grid(sticky=N + S + E + W)
for r in range(2):
self.rowconfigure(r, weight=1... | Creates the main application window. | Application | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Application:
"""Creates the main application window."""
def __init__(self, master=None):
"""Initialize the parent frame."""
<|body_0|>
def createWidgets(self):
"""Place widgets in application window."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_071614 | 3,069 | no_license | [
{
"docstring": "Initialize the parent frame.",
"name": "__init__",
"signature": "def __init__(self, master=None)"
},
{
"docstring": "Place widgets in application window.",
"name": "createWidgets",
"signature": "def createWidgets(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017875 | Implement the Python class `Application` described below.
Class description:
Creates the main application window.
Method signatures and docstrings:
- def __init__(self, master=None): Initialize the parent frame.
- def createWidgets(self): Place widgets in application window. | Implement the Python class `Application` described below.
Class description:
Creates the main application window.
Method signatures and docstrings:
- def __init__(self, master=None): Initialize the parent frame.
- def createWidgets(self): Place widgets in application window.
<|skeleton|>
class Application:
"""Cr... | 06c45545ed064d0e9c4fd15cc81cf454cb079c9d | <|skeleton|>
class Application:
"""Creates the main application window."""
def __init__(self, master=None):
"""Initialize the parent frame."""
<|body_0|>
def createWidgets(self):
"""Place widgets in application window."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Application:
"""Creates the main application window."""
def __init__(self, master=None):
"""Initialize the parent frame."""
Frame.__init__(self, master, bg='white')
self.master.rowconfigure(0, weight=1)
self.master.columnconfigure(0, weight=1)
self.master.title('Pr... | the_stack_v2_python_sparse | Lesson 8 - GUI Layout/project/attempt_1/framer.py | jmwoloso/Python_2 | train | 0 |
06dc9ab83153f9ba95c38f89d83e8cd0338ab204 | [
"with allure.step(f'输入用户名{username}'):\n self.find(By.ID, 'username').send_keys(username)\nwith allure.step(f'输入账户{account}'):\n self.find(By.ID, 'memberAdd_acctid').send_keys(account)\nwith allure.step(f'输入手机号码{phonenum}'):\n self.find(By.ID, 'memberAdd_phone').send_keys(phonenum)\nwith allure.step('点击保存按... | <|body_start_0|>
with allure.step(f'输入用户名{username}'):
self.find(By.ID, 'username').send_keys(username)
with allure.step(f'输入账户{account}'):
self.find(By.ID, 'memberAdd_acctid').send_keys(account)
with allure.step(f'输入手机号码{phonenum}'):
self.find(By.ID, 'memberA... | AddMemberPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddMemberPage:
def add_member(self, username, account, phonenum):
"""添加联系人 :param username: 姓名 :param account: 账号 :param phonenum: 手机 :return:"""
<|body_0|>
def get_members(self):
"""获取所有已添加联系人姓名 :return: 联系人姓名列表"""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_75kplus_train_071615 | 1,741 | no_license | [
{
"docstring": "添加联系人 :param username: 姓名 :param account: 账号 :param phonenum: 手机 :return:",
"name": "add_member",
"signature": "def add_member(self, username, account, phonenum)"
},
{
"docstring": "获取所有已添加联系人姓名 :return: 联系人姓名列表",
"name": "get_members",
"signature": "def get_members(self)... | 2 | stack_v2_sparse_classes_30k_train_028818 | Implement the Python class `AddMemberPage` described below.
Class description:
Implement the AddMemberPage class.
Method signatures and docstrings:
- def add_member(self, username, account, phonenum): 添加联系人 :param username: 姓名 :param account: 账号 :param phonenum: 手机 :return:
- def get_members(self): 获取所有已添加联系人姓名 :retu... | Implement the Python class `AddMemberPage` described below.
Class description:
Implement the AddMemberPage class.
Method signatures and docstrings:
- def add_member(self, username, account, phonenum): 添加联系人 :param username: 姓名 :param account: 账号 :param phonenum: 手机 :return:
- def get_members(self): 获取所有已添加联系人姓名 :retu... | a36880bf669d2ab30eb601f6402dbc876a8cb7a2 | <|skeleton|>
class AddMemberPage:
def add_member(self, username, account, phonenum):
"""添加联系人 :param username: 姓名 :param account: 账号 :param phonenum: 手机 :return:"""
<|body_0|>
def get_members(self):
"""获取所有已添加联系人姓名 :return: 联系人姓名列表"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AddMemberPage:
def add_member(self, username, account, phonenum):
"""添加联系人 :param username: 姓名 :param account: 账号 :param phonenum: 手机 :return:"""
with allure.step(f'输入用户名{username}'):
self.find(By.ID, 'username').send_keys(username)
with allure.step(f'输入账户{account}'):
... | the_stack_v2_python_sparse | taskwork/stage05_live_web/pages/add_member_page.py | fatfatfatFatTiger/HogwartsLG6 | train | 0 | |
bc43a77d0cc48568eebadf161c3ce5055f5fa56f | [
"super().__init__(client_id, **kwargs)\nself.private_key = private_key\nself.subject = subject\nself.issuer = issuer\nself.audience = audience",
"import jwt\nkey = private_key or self.private_key\nif not key:\n raise ValueError('An encryption key must be supplied to make JWT token requests.')\nclaim = {'iss': ... | <|body_start_0|>
super().__init__(client_id, **kwargs)
self.private_key = private_key
self.subject = subject
self.issuer = issuer
self.audience = audience
<|end_body_0|>
<|body_start_1|>
import jwt
key = private_key or self.private_key
if not key:
... | A public client utilizing the JWT bearer grant. JWT bearer tokes can be used to request an access token when a client wishes to utilize an existing trust relationship, expressed through the semantics of (and digital signature or keyed message digest calculated over) the JWT, without a direct user approval step at the a... | ServiceApplicationClient | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceApplicationClient:
"""A public client utilizing the JWT bearer grant. JWT bearer tokes can be used to request an access token when a client wishes to utilize an existing trust relationship, expressed through the semantics of (and digital signature or keyed message digest calculated over) t... | stack_v2_sparse_classes_75kplus_train_071616 | 7,812 | permissive | [
{
"docstring": "Initialize a JWT client with defaults for implicit use later. :param client_id: Client identifier given by the OAuth provider upon registration. :param private_key: Private key used for signing and encrypting. Must be given as a string. :param subject: The principal that is the subject of the JW... | 2 | null | Implement the Python class `ServiceApplicationClient` described below.
Class description:
A public client utilizing the JWT bearer grant. JWT bearer tokes can be used to request an access token when a client wishes to utilize an existing trust relationship, expressed through the semantics of (and digital signature or ... | Implement the Python class `ServiceApplicationClient` described below.
Class description:
A public client utilizing the JWT bearer grant. JWT bearer tokes can be used to request an access token when a client wishes to utilize an existing trust relationship, expressed through the semantics of (and digital signature or ... | 00f9a212004a80df790ed071a59af53a05f5e3f2 | <|skeleton|>
class ServiceApplicationClient:
"""A public client utilizing the JWT bearer grant. JWT bearer tokes can be used to request an access token when a client wishes to utilize an existing trust relationship, expressed through the semantics of (and digital signature or keyed message digest calculated over) t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ServiceApplicationClient:
"""A public client utilizing the JWT bearer grant. JWT bearer tokes can be used to request an access token when a client wishes to utilize an existing trust relationship, expressed through the semantics of (and digital signature or keyed message digest calculated over) the JWT, witho... | the_stack_v2_python_sparse | oauthlib/oauth2/rfc6749/clients/service_application.py | oauthlib/oauthlib | train | 1,223 |
957e428c81d844eaeee92fb03a89f6de9cedb585 | [
"exclude = {'program'}\nif self.constraints is not None:\n exclude.add('constraints')\nopt_spec = OptimizationSpecification(program=self.program, keywords=self.dict(exclude=exclude))\nreturn opt_spec",
"if optimization_specification.keywords is None:\n return GeometricProcedure()\nelse:\n data = optimiza... | <|body_start_0|>
exclude = {'program'}
if self.constraints is not None:
exclude.add('constraints')
opt_spec = OptimizationSpecification(program=self.program, keywords=self.dict(exclude=exclude))
return opt_spec
<|end_body_0|>
<|body_start_1|>
if optimization_specific... | This is a settings class controlling the various runtime options that can be used when running geometric. Note: The coordinate systems supported by geometric are: - `cart` Cartesian - `prim` Primitive a.k.a redundant - `dlc` Delocalised Internal Coordinates - `hdlc` Hybrid Delocalised Internal Coordinates - `tric` Tran... | GeometricProcedure | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GeometricProcedure:
"""This is a settings class controlling the various runtime options that can be used when running geometric. Note: The coordinate systems supported by geometric are: - `cart` Cartesian - `prim` Primitive a.k.a redundant - `dlc` Delocalised Internal Coordinates - `hdlc` Hybrid ... | stack_v2_sparse_classes_75kplus_train_071617 | 5,785 | permissive | [
{
"docstring": "Create the optimization specification to be used in qcarchive. Returns: A dictionary representation of the optimization specification.",
"name": "get_optimzation_spec",
"signature": "def get_optimzation_spec(self) -> OptimizationSpecification"
},
{
"docstring": "Create a geometri... | 2 | stack_v2_sparse_classes_30k_train_020489 | Implement the Python class `GeometricProcedure` described below.
Class description:
This is a settings class controlling the various runtime options that can be used when running geometric. Note: The coordinate systems supported by geometric are: - `cart` Cartesian - `prim` Primitive a.k.a redundant - `dlc` Delocalise... | Implement the Python class `GeometricProcedure` described below.
Class description:
This is a settings class controlling the various runtime options that can be used when running geometric. Note: The coordinate systems supported by geometric are: - `cart` Cartesian - `prim` Primitive a.k.a redundant - `dlc` Delocalise... | 48943d8e7a5b6947001d29a9c629a65c4133dbd6 | <|skeleton|>
class GeometricProcedure:
"""This is a settings class controlling the various runtime options that can be used when running geometric. Note: The coordinate systems supported by geometric are: - `cart` Cartesian - `prim` Primitive a.k.a redundant - `dlc` Delocalised Internal Coordinates - `hdlc` Hybrid ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GeometricProcedure:
"""This is a settings class controlling the various runtime options that can be used when running geometric. Note: The coordinate systems supported by geometric are: - `cart` Cartesian - `prim` Primitive a.k.a redundant - `dlc` Delocalised Internal Coordinates - `hdlc` Hybrid Delocalised I... | the_stack_v2_python_sparse | openff/qcsubmit/procedures.py | openforcefield/openff-qcsubmit | train | 15 |
01fcd3c46c175e63960dada22aafc7ae4fa1445d | [
"if not nums:\n return\ncount_dict = defaultdict(int)\nfor num in nums:\n if num in count_dict:\n count_dict[num] += 1\n else:\n count_dict[num] = 1\nnums[:] = [0] * count_dict[0] + [1] * count_dict[1] + [2] * count_dict[2]",
"p0, curr, p2 = (0, 0, len(nums) - 1)\nwhile curr <= p2:\n if ... | <|body_start_0|>
if not nums:
return
count_dict = defaultdict(int)
for num in nums:
if num in count_dict:
count_dict[num] += 1
else:
count_dict[num] = 1
nums[:] = [0] * count_dict[0] + [1] * count_dict[1] + [2] * count_d... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortColors(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def sortColors2(self, nums: List[int]) -> None:
"""荷兰三色旗问题解"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not nums:
... | stack_v2_sparse_classes_75kplus_train_071618 | 2,824 | no_license | [
{
"docstring": "Do not return anything, modify nums in-place instead.",
"name": "sortColors",
"signature": "def sortColors(self, nums: List[int]) -> None"
},
{
"docstring": "荷兰三色旗问题解",
"name": "sortColors2",
"signature": "def sortColors2(self, nums: List[int]) -> None"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortColors(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.
- def sortColors2(self, nums: List[int]) -> None: 荷兰三色旗问题解 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortColors(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.
- def sortColors2(self, nums: List[int]) -> None: 荷兰三色旗问题解
<|skeleton|>
clas... | af5dc310534f12a6ded10226ce05aba65ec119d9 | <|skeleton|>
class Solution:
def sortColors(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def sortColors2(self, nums: List[int]) -> None:
"""荷兰三色旗问题解"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def sortColors(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
if not nums:
return
count_dict = defaultdict(int)
for num in nums:
if num in count_dict:
count_dict[num] += 1
... | the_stack_v2_python_sparse | TwoPointer/SortColors.py | tcandzq/LeetCode | train | 23 | |
fd11976e89ca00ee97c567afceacb0e1beeb501a | [
"ret = 0\nfor i in range(len(data) - 1, -1, -1):\n ret <<= 8\n ret += data[i]\nreturn ret",
"ret = [0] * 16\nfor i, _ in enumerate(ret):\n ret[i] = num & 255\n num >>= 8\nreturn bytearray(ret)",
"if len(key) != 32:\n raise ValueError('Key must be 256 bit long')\nself.acc = 0\nself.r = self.le_byt... | <|body_start_0|>
ret = 0
for i in range(len(data) - 1, -1, -1):
ret <<= 8
ret += data[i]
return ret
<|end_body_0|>
<|body_start_1|>
ret = [0] * 16
for i, _ in enumerate(ret):
ret[i] = num & 255
num >>= 8
return bytearray(re... | Poly1305 authenticator | Poly1305 | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Poly1305:
"""Poly1305 authenticator"""
def le_bytes_to_num(data):
"""Convert a number from little endian byte format"""
<|body_0|>
def num_to_16_le_bytes(num):
"""Convert number to 16 bytes in little endian format"""
<|body_1|>
def __init__(self, key... | stack_v2_sparse_classes_75kplus_train_071619 | 1,504 | permissive | [
{
"docstring": "Convert a number from little endian byte format",
"name": "le_bytes_to_num",
"signature": "def le_bytes_to_num(data)"
},
{
"docstring": "Convert number to 16 bytes in little endian format",
"name": "num_to_16_le_bytes",
"signature": "def num_to_16_le_bytes(num)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_004039 | Implement the Python class `Poly1305` described below.
Class description:
Poly1305 authenticator
Method signatures and docstrings:
- def le_bytes_to_num(data): Convert a number from little endian byte format
- def num_to_16_le_bytes(num): Convert number to 16 bytes in little endian format
- def __init__(self, key): S... | Implement the Python class `Poly1305` described below.
Class description:
Poly1305 authenticator
Method signatures and docstrings:
- def le_bytes_to_num(data): Convert a number from little endian byte format
- def num_to_16_le_bytes(num): Convert number to 16 bytes in little endian format
- def __init__(self, key): S... | b26ebb6a74c2670ae28052079f2fac95d88e832a | <|skeleton|>
class Poly1305:
"""Poly1305 authenticator"""
def le_bytes_to_num(data):
"""Convert a number from little endian byte format"""
<|body_0|>
def num_to_16_le_bytes(num):
"""Convert number to 16 bytes in little endian format"""
<|body_1|>
def __init__(self, key... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Poly1305:
"""Poly1305 authenticator"""
def le_bytes_to_num(data):
"""Convert a number from little endian byte format"""
ret = 0
for i in range(len(data) - 1, -1, -1):
ret <<= 8
ret += data[i]
return ret
def num_to_16_le_bytes(num):
"""C... | the_stack_v2_python_sparse | scalyr_agent/third_party_tls/tlslite/utils/poly1305.py | Kami/scalyr-agent-2 | train | 0 |
7af5707aa90e29bf6247a5a57e2d8720530e7abc | [
"gamer = Gamer.objects.get(user=request.auth.user)\ngametype = GameType.objects.get(pk=request.data['gameTypeId'])\ngame = Game()\ngame.title = request.data['title']\ngame.maker = request.data['maker']\ngame.number_of_players = request.data['numberOfPlayers']\ngame.skill_level = request.data['skillLevel']\ngame.gam... | <|body_start_0|>
gamer = Gamer.objects.get(user=request.auth.user)
gametype = GameType.objects.get(pk=request.data['gameTypeId'])
game = Game()
game.title = request.data['title']
game.maker = request.data['maker']
game.number_of_players = request.data['numberOfPlayers']
... | Levelup game type viewset. | GameViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameViewSet:
"""Levelup game type viewset."""
def create(self, request):
"""Handle POST requests. Returns: Response -- serialized JSON game instance."""
<|body_0|>
def retrieve(self, request, pk=None):
"""Handle GET requests for single game. Returns: Response : J... | stack_v2_sparse_classes_75kplus_train_071620 | 5,294 | no_license | [
{
"docstring": "Handle POST requests. Returns: Response -- serialized JSON game instance.",
"name": "create",
"signature": "def create(self, request)"
},
{
"docstring": "Handle GET requests for single game. Returns: Response : JSON serialized game.",
"name": "retrieve",
"signature": "def... | 5 | stack_v2_sparse_classes_30k_train_051788 | Implement the Python class `GameViewSet` described below.
Class description:
Levelup game type viewset.
Method signatures and docstrings:
- def create(self, request): Handle POST requests. Returns: Response -- serialized JSON game instance.
- def retrieve(self, request, pk=None): Handle GET requests for single game. ... | Implement the Python class `GameViewSet` described below.
Class description:
Levelup game type viewset.
Method signatures and docstrings:
- def create(self, request): Handle POST requests. Returns: Response -- serialized JSON game instance.
- def retrieve(self, request, pk=None): Handle GET requests for single game. ... | 16dd4eb3b24f580a5e3bd98199cb8ff034335d68 | <|skeleton|>
class GameViewSet:
"""Levelup game type viewset."""
def create(self, request):
"""Handle POST requests. Returns: Response -- serialized JSON game instance."""
<|body_0|>
def retrieve(self, request, pk=None):
"""Handle GET requests for single game. Returns: Response : J... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GameViewSet:
"""Levelup game type viewset."""
def create(self, request):
"""Handle POST requests. Returns: Response -- serialized JSON game instance."""
gamer = Gamer.objects.get(user=request.auth.user)
gametype = GameType.objects.get(pk=request.data['gameTypeId'])
game = ... | the_stack_v2_python_sparse | levelupapi/views/gameviewset.py | CheoR/levelup | train | 0 |
302486e74ceafbb2d150000fe34e65a3f95e3e78 | [
"obj = Project(name='test')\nobj.save()\nself.assertEquals('test', obj.name)\nself.assertNotEquals(obj.id, None)\nobj.delete()",
"project = Project(name='test')\nproject.save()\nstatus = TaskStatus(name='test')\nstatus.save()\nobj = Task(name='test', project=project, status=status, priority=3)\nobj.save()\nself.a... | <|body_start_0|>
obj = Project(name='test')
obj.save()
self.assertEquals('test', obj.name)
self.assertNotEquals(obj.id, None)
obj.delete()
<|end_body_0|>
<|body_start_1|>
project = Project(name='test')
project.save()
status = TaskStatus(name='test')
... | Documents models tests | ProjectsModelsTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectsModelsTest:
"""Documents models tests"""
def test_model_project(self):
"""Test project"""
<|body_0|>
def test_model_task(self):
"""Test task"""
<|body_1|>
def test_model_task_status(self):
"""Test task status"""
<|body_2|>
<|... | stack_v2_sparse_classes_75kplus_train_071621 | 25,070 | permissive | [
{
"docstring": "Test project",
"name": "test_model_project",
"signature": "def test_model_project(self)"
},
{
"docstring": "Test task",
"name": "test_model_task",
"signature": "def test_model_task(self)"
},
{
"docstring": "Test task status",
"name": "test_model_task_status",
... | 3 | stack_v2_sparse_classes_30k_train_049992 | Implement the Python class `ProjectsModelsTest` described below.
Class description:
Documents models tests
Method signatures and docstrings:
- def test_model_project(self): Test project
- def test_model_task(self): Test task
- def test_model_task_status(self): Test task status | Implement the Python class `ProjectsModelsTest` described below.
Class description:
Documents models tests
Method signatures and docstrings:
- def test_model_project(self): Test project
- def test_model_task(self): Test task
- def test_model_task_status(self): Test task status
<|skeleton|>
class ProjectsModelsTest:
... | 001e85eaf489c93b565efe679eb159cfcfef4c67 | <|skeleton|>
class ProjectsModelsTest:
"""Documents models tests"""
def test_model_project(self):
"""Test project"""
<|body_0|>
def test_model_task(self):
"""Test task"""
<|body_1|>
def test_model_task_status(self):
"""Test task status"""
<|body_2|>
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectsModelsTest:
"""Documents models tests"""
def test_model_project(self):
"""Test project"""
obj = Project(name='test')
obj.save()
self.assertEquals('test', obj.name)
self.assertNotEquals(obj.id, None)
obj.delete()
def test_model_task(self):
... | the_stack_v2_python_sparse | projects/tests.py | alejo8591/maker | train | 0 |
f363efa9af9881501129cc3336798bf47f20b12b | [
"conv_data = Bech32BaseUtils.ConvertBits(data, 8, 5)\nif conv_data is None:\n raise ValueError('Invalid data, cannot perform conversion to base32')\nreturn conv_data",
"conv_data = Bech32BaseUtils.ConvertBits(data, 5, 8, False)\nif conv_data is None:\n raise ValueError('Invalid data, cannot perform conversi... | <|body_start_0|>
conv_data = Bech32BaseUtils.ConvertBits(data, 8, 5)
if conv_data is None:
raise ValueError('Invalid data, cannot perform conversion to base32')
return conv_data
<|end_body_0|>
<|body_start_1|>
conv_data = Bech32BaseUtils.ConvertBits(data, 5, 8, False)
... | Class container for Bech32 utility functions. | Bech32BaseUtils | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bech32BaseUtils:
"""Class container for Bech32 utility functions."""
def ConvertToBase32(data: Union[List[int], bytes]) -> List[int]:
"""Convert data to base32. Args: data (list[int] or bytes): Data to be converted Returns: list[int]: Converted data Raises: ValueError: If the string ... | stack_v2_sparse_classes_75kplus_train_071622 | 8,003 | permissive | [
{
"docstring": "Convert data to base32. Args: data (list[int] or bytes): Data to be converted Returns: list[int]: Converted data Raises: ValueError: If the string is not valid",
"name": "ConvertToBase32",
"signature": "def ConvertToBase32(data: Union[List[int], bytes]) -> List[int]"
},
{
"docstr... | 3 | stack_v2_sparse_classes_30k_val_002603 | Implement the Python class `Bech32BaseUtils` described below.
Class description:
Class container for Bech32 utility functions.
Method signatures and docstrings:
- def ConvertToBase32(data: Union[List[int], bytes]) -> List[int]: Convert data to base32. Args: data (list[int] or bytes): Data to be converted Returns: lis... | Implement the Python class `Bech32BaseUtils` described below.
Class description:
Class container for Bech32 utility functions.
Method signatures and docstrings:
- def ConvertToBase32(data: Union[List[int], bytes]) -> List[int]: Convert data to base32. Args: data (list[int] or bytes): Data to be converted Returns: lis... | d15c75ddd74e4838c396a0d036ef6faf11b06a4b | <|skeleton|>
class Bech32BaseUtils:
"""Class container for Bech32 utility functions."""
def ConvertToBase32(data: Union[List[int], bytes]) -> List[int]:
"""Convert data to base32. Args: data (list[int] or bytes): Data to be converted Returns: list[int]: Converted data Raises: ValueError: If the string ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bech32BaseUtils:
"""Class container for Bech32 utility functions."""
def ConvertToBase32(data: Union[List[int], bytes]) -> List[int]:
"""Convert data to base32. Args: data (list[int] or bytes): Data to be converted Returns: list[int]: Converted data Raises: ValueError: If the string is not valid"... | the_stack_v2_python_sparse | bip_utils/bech32/bech32_base.py | ebellocchia/bip_utils | train | 244 |
f347914c6c0126343762c81b6f2ccb8d05a2f7e5 | [
"try:\n user = self.request.user\n tasks = Task.objects(user_id=user.id)\n serializer = self.serializer_class(tasks, many=True)\n return Response(serializer.data)\nexcept Exception as e:\n Utils.log_exception(e)\n raise e",
"try:\n data = request.data.copy()\n data['user_id'] = request.use... | <|body_start_0|>
try:
user = self.request.user
tasks = Task.objects(user_id=user.id)
serializer = self.serializer_class(tasks, many=True)
return Response(serializer.data)
except Exception as e:
Utils.log_exception(e)
raise e
<|end_b... | TaskViewSet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskViewSet:
def list(self, request, *args, **kwargs):
"""@apiVersion 1.0.0 @api {GET} /task Get list task @apiName TaskList @apiGroup Ribo_api Task @apiPermission Authentication @apiHeader {string} Authorization format: token <token_string> @apiHeaderExample {json} Request Header Exampl... | stack_v2_sparse_classes_75kplus_train_071623 | 5,383 | permissive | [
{
"docstring": "@apiVersion 1.0.0 @api {GET} /task Get list task @apiName TaskList @apiGroup Ribo_api Task @apiPermission Authentication @apiHeader {string} Authorization format: token <token_string> @apiHeaderExample {json} Request Header Example: { \"Authorization\": \"token QL7RXWUJKDIISITBDLPRUPQZAXD81XYEHZ... | 4 | null | Implement the Python class `TaskViewSet` described below.
Class description:
Implement the TaskViewSet class.
Method signatures and docstrings:
- def list(self, request, *args, **kwargs): @apiVersion 1.0.0 @api {GET} /task Get list task @apiName TaskList @apiGroup Ribo_api Task @apiPermission Authentication @apiHeade... | Implement the Python class `TaskViewSet` described below.
Class description:
Implement the TaskViewSet class.
Method signatures and docstrings:
- def list(self, request, *args, **kwargs): @apiVersion 1.0.0 @api {GET} /task Get list task @apiName TaskList @apiGroup Ribo_api Task @apiPermission Authentication @apiHeade... | 8c5a00a215b42aad2f6a4167b9cb97fe11d78823 | <|skeleton|>
class TaskViewSet:
def list(self, request, *args, **kwargs):
"""@apiVersion 1.0.0 @api {GET} /task Get list task @apiName TaskList @apiGroup Ribo_api Task @apiPermission Authentication @apiHeader {string} Authorization format: token <token_string> @apiHeaderExample {json} Request Header Exampl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TaskViewSet:
def list(self, request, *args, **kwargs):
"""@apiVersion 1.0.0 @api {GET} /task Get list task @apiName TaskList @apiGroup Ribo_api Task @apiPermission Authentication @apiHeader {string} Authorization format: token <token_string> @apiHeaderExample {json} Request Header Example: { "Authoriz... | the_stack_v2_python_sparse | src/ribo_api/views/api/task.py | wahello/RiBo-Core | train | 0 | |
669d87757f3be036c1f9421489221e332c9a2d63 | [
"try:\n inst = Tenant.objects.get(pk=inst_id)\nexcept Tenant.DoesNotExist:\n return api_error(code=404, msg=_('Tenant not existed.'))\ninst_admins = [x.user for x in TenantAdmin.objects.filter(tenant=inst)]\nusernames = [x.user for x in Profile.objects.filter(tenant=inst.name)]\nusers = [User.objects.get(x) f... | <|body_start_0|>
try:
inst = Tenant.objects.get(pk=inst_id)
except Tenant.DoesNotExist:
return api_error(code=404, msg=_('Tenant not existed.'))
inst_admins = [x.user for x in TenantAdmin.objects.filter(tenant=inst)]
usernames = [x.user for x in Profile.objects.fi... | AdminTenant | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdminTenant:
def get(self, request, inst_id):
"""Get tenant details"""
<|body_0|>
def put(self, request, inst_id):
"""Update tenant quota"""
<|body_1|>
def delete(self, request, inst_id):
"""Delete a tenant"""
<|body_2|>
<|end_skeleton|>... | stack_v2_sparse_classes_75kplus_train_071624 | 34,523 | permissive | [
{
"docstring": "Get tenant details",
"name": "get",
"signature": "def get(self, request, inst_id)"
},
{
"docstring": "Update tenant quota",
"name": "put",
"signature": "def put(self, request, inst_id)"
},
{
"docstring": "Delete a tenant",
"name": "delete",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_train_011338 | Implement the Python class `AdminTenant` described below.
Class description:
Implement the AdminTenant class.
Method signatures and docstrings:
- def get(self, request, inst_id): Get tenant details
- def put(self, request, inst_id): Update tenant quota
- def delete(self, request, inst_id): Delete a tenant | Implement the Python class `AdminTenant` described below.
Class description:
Implement the AdminTenant class.
Method signatures and docstrings:
- def get(self, request, inst_id): Get tenant details
- def put(self, request, inst_id): Update tenant quota
- def delete(self, request, inst_id): Delete a tenant
<|skeleton... | 13b3ed26a04248211ef91ca70dccc617be27a3c3 | <|skeleton|>
class AdminTenant:
def get(self, request, inst_id):
"""Get tenant details"""
<|body_0|>
def put(self, request, inst_id):
"""Update tenant quota"""
<|body_1|>
def delete(self, request, inst_id):
"""Delete a tenant"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AdminTenant:
def get(self, request, inst_id):
"""Get tenant details"""
try:
inst = Tenant.objects.get(pk=inst_id)
except Tenant.DoesNotExist:
return api_error(code=404, msg=_('Tenant not existed.'))
inst_admins = [x.user for x in TenantAdmin.objects.filt... | the_stack_v2_python_sparse | fhs/usr/share/python/syncwerk/restapi/restapi/api3/custom/admin/tenants.py | syncwerk/syncwerk-server-restapi | train | 0 | |
c584d949d24151ba2130fabbdc73ff211176a33c | [
"if len(postorder) == 0:\n return None\nhead = TreeNode(postorder[-1])\nstack = [head]\ni = len(postorder) - 2\nj = len(postorder) - 1\nwhile i >= 0:\n temp = None\n t = TreeNode(postorder[i])\n while stack and stack[-1].val == inorder[j]:\n temp = stack.pop()\n j -= 1\n if temp:\n ... | <|body_start_0|>
if len(postorder) == 0:
return None
head = TreeNode(postorder[-1])
stack = [head]
i = len(postorder) - 2
j = len(postorder) - 1
while i >= 0:
temp = None
t = TreeNode(postorder[i])
while stack and stack[-1].... | Solution | [
"CC0-1.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode:
"""if not inorder or not postorder: return i = inorder.index(postorder[-1]) root = TreeNode(postorder[-1]) root.left = self.buildTree(inorder[:i], postorder[:i]) root.right = self.buildTree(inorder[i + 1... | stack_v2_sparse_classes_75kplus_train_071625 | 2,912 | permissive | [
{
"docstring": "if not inorder or not postorder: return i = inorder.index(postorder[-1]) root = TreeNode(postorder[-1]) root.left = self.buildTree(inorder[:i], postorder[:i]) root.right = self.buildTree(inorder[i + 1:], postorder[i:-1]) return root",
"name": "buildTree",
"signature": "def buildTree(self... | 3 | stack_v2_sparse_classes_30k_train_039498 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode: if not inorder or not postorder: return i = inorder.index(postorder[-1]) root = TreeNode(postorder[-1])... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode: if not inorder or not postorder: return i = inorder.index(postorder[-1]) root = TreeNode(postorder[-1])... | 4ea4c1579c28308455be4dfa02bd45ebd88b2d0a | <|skeleton|>
class Solution:
def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode:
"""if not inorder or not postorder: return i = inorder.index(postorder[-1]) root = TreeNode(postorder[-1]) root.left = self.buildTree(inorder[:i], postorder[:i]) root.right = self.buildTree(inorder[i + 1... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def buildTree(self, inorder: List[int], postorder: List[int]) -> TreeNode:
"""if not inorder or not postorder: return i = inorder.index(postorder[-1]) root = TreeNode(postorder[-1]) root.left = self.buildTree(inorder[:i], postorder[:i]) root.right = self.buildTree(inorder[i + 1:], postorder[... | the_stack_v2_python_sparse | src/trees/buildTree.py | way2arun/datastructures_algorithms | train | 1 | |
41dbaa4784397caab500635b32d3fb139f83c1b6 | [
"root_copy = root\nself.result = []\n\ndef visit(root):\n if root.left:\n visit(root.left)\n self.result.append(root.val)\n if root.right:\n visit(root.right)\n\ndef change(root):\n if root.left:\n change(root.left)\n root.val = self.result[self.start]\n self.start += 1\n i... | <|body_start_0|>
root_copy = root
self.result = []
def visit(root):
if root.left:
visit(root.left)
self.result.append(root.val)
if root.right:
visit(root.right)
def change(root):
if root.left:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 215ms"""
<|body_0|>
def recoverTree_1(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place inst... | stack_v2_sparse_classes_75kplus_train_071626 | 3,724 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 215ms",
"name": "recoverTree",
"signature": "def recoverTree(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 125ms",
... | 3 | stack_v2_sparse_classes_30k_train_037989 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def recoverTree(self, root): :type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 215ms
- def recoverTree_1(self, root): :type root: TreeNode :... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def recoverTree(self, root): :type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 215ms
- def recoverTree_1(self, root): :type root: TreeNode :... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 215ms"""
<|body_0|>
def recoverTree_1(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place inst... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead. 215ms"""
root_copy = root
self.result = []
def visit(root):
if root.left:
visit(root.left)
self.result.appe... | the_stack_v2_python_sparse | RecoverBinarySearchTree_HARD_99.py | 953250587/leetcode-python | train | 2 | |
fd0ab845463dbedfb11b44276bb0828927b70605 | [
"patron_bot = PatronBot(last_name=last_name, iii_id=iii_id)\nuser = None\nif patron_bot.is_valid:\n try:\n user = User.objects.get(username=iii_id)\n except User.DoesNotExist:\n user = User(username=iii_id, last_name=last_name, is_active=True)\n user.save()\nreturn user",
"try:\n ret... | <|body_start_0|>
patron_bot = PatronBot(last_name=last_name, iii_id=iii_id)
user = None
if patron_bot.is_valid:
try:
user = User.objects.get(username=iii_id)
except User.DoesNotExist:
user = User(username=iii_id, last_name=last_name, is_act... | This backend is used with III's Patron API to authenticate a user using a last name and an III identification number. | IIIUserBackend | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IIIUserBackend:
"""This backend is used with III's Patron API to authenticate a user using a last name and an III identification number."""
def authenticate(self, last_name=None, iii_id=None):
"""The ``last_name`` and ``iii_id`` are used to authenticate againest the III server using ... | stack_v2_sparse_classes_75kplus_train_071627 | 1,308 | permissive | [
{
"docstring": "The ``last_name`` and ``iii_id`` are used to authenticate againest the III server using the PatronBot Returns None if ``last_name`` and ``iii_id`` fail to authenticate.",
"name": "authenticate",
"signature": "def authenticate(self, last_name=None, iii_id=None)"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_013911 | Implement the Python class `IIIUserBackend` described below.
Class description:
This backend is used with III's Patron API to authenticate a user using a last name and an III identification number.
Method signatures and docstrings:
- def authenticate(self, last_name=None, iii_id=None): The ``last_name`` and ``iii_id`... | Implement the Python class `IIIUserBackend` described below.
Class description:
This backend is used with III's Patron API to authenticate a user using a last name and an III identification number.
Method signatures and docstrings:
- def authenticate(self, last_name=None, iii_id=None): The ``last_name`` and ``iii_id`... | b5c44fa008f9afb4441988803921a93ffd615c30 | <|skeleton|>
class IIIUserBackend:
"""This backend is used with III's Patron API to authenticate a user using a last name and an III identification number."""
def authenticate(self, last_name=None, iii_id=None):
"""The ``last_name`` and ``iii_id`` are used to authenticate againest the III server using ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IIIUserBackend:
"""This backend is used with III's Patron API to authenticate a user using a last name and an III identification number."""
def authenticate(self, last_name=None, iii_id=None):
"""The ``last_name`` and ``iii_id`` are used to authenticate againest the III server using the PatronBot... | the_stack_v2_python_sparse | aristotle/apps/vendors/iii/backends.py | jermnelson/Discover-Aristotle | train | 15 |
2cef49fffb8d421edd29556df88897e97487f498 | [
"self.now = 0\nself.cap = capacity\nself.map = {}\nself.time = {}\nself.object = {}",
"if key not in self.map:\n return -1\nif key == self.object[self.now]:\n return self.map[key]\nself.now += 1\nself.object[self.now] = key\ndel self.object[self.time[key]]\nself.time[key] = self.now\nreturn self.map[key]",
... | <|body_start_0|>
self.now = 0
self.cap = capacity
self.map = {}
self.time = {}
self.object = {}
<|end_body_0|>
<|body_start_1|>
if key not in self.map:
return -1
if key == self.object[self.now]:
return self.map[key]
self.now += 1
... | LRUCache | [] | 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: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_071628 | 1,337 | no_license | [
{
"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: void",
"name": "pu... | 3 | null | 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: void | 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: void
<|sk... | 7c443f85217ab96ceac717ece7fc472271e1d3ab | <|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: void"""
<|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.now = 0
self.cap = capacity
self.map = {}
self.time = {}
self.object = {}
def get(self, key):
""":type key: int :rtype: int"""
if key not in self.map:
return ... | the_stack_v2_python_sparse | zemiao/146.py | Zichuanyun/go-shuati | train | 9 | |
8160eb85ee1fa73be0df6b69e73e2857380dada5 | [
"actual = stock_price_summary([])\nexpected = (0, 0)\nself.assertEqual(expected, actual)",
"actual = stock_price_summary([0.5, 0.7])\nexpected = (1.2, 0)\nself.assertEqual(expected, actual)",
"actual = stock_price_summary([-0.5, -0.7])\nexpected = (0, -1.2)\nself.assertEqual(expected, actual)",
"actual = stoc... | <|body_start_0|>
actual = stock_price_summary([])
expected = (0, 0)
self.assertEqual(expected, actual)
<|end_body_0|>
<|body_start_1|>
actual = stock_price_summary([0.5, 0.7])
expected = (1.2, 0)
self.assertEqual(expected, actual)
<|end_body_1|>
<|body_start_2|>
... | Test class for function a1.stock_price_summary. | TestStockPriceSummary | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestStockPriceSummary:
"""Test class for function a1.stock_price_summary."""
def test_stock_price_summary_1(self):
"""Test stock_price_summary against an empty set"""
<|body_0|>
def test_stock_price_summary_2(self):
"""Test stock_price_summary against two positiv... | stack_v2_sparse_classes_75kplus_train_071629 | 1,450 | no_license | [
{
"docstring": "Test stock_price_summary against an empty set",
"name": "test_stock_price_summary_1",
"signature": "def test_stock_price_summary_1(self)"
},
{
"docstring": "Test stock_price_summary against two positive entries",
"name": "test_stock_price_summary_2",
"signature": "def tes... | 5 | stack_v2_sparse_classes_30k_train_046884 | Implement the Python class `TestStockPriceSummary` described below.
Class description:
Test class for function a1.stock_price_summary.
Method signatures and docstrings:
- def test_stock_price_summary_1(self): Test stock_price_summary against an empty set
- def test_stock_price_summary_2(self): Test stock_price_summar... | Implement the Python class `TestStockPriceSummary` described below.
Class description:
Test class for function a1.stock_price_summary.
Method signatures and docstrings:
- def test_stock_price_summary_1(self): Test stock_price_summary against an empty set
- def test_stock_price_summary_2(self): Test stock_price_summar... | ff1ebfe2294472e38edaccca981cc467c78dcbc9 | <|skeleton|>
class TestStockPriceSummary:
"""Test class for function a1.stock_price_summary."""
def test_stock_price_summary_1(self):
"""Test stock_price_summary against an empty set"""
<|body_0|>
def test_stock_price_summary_2(self):
"""Test stock_price_summary against two positiv... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestStockPriceSummary:
"""Test class for function a1.stock_price_summary."""
def test_stock_price_summary_1(self):
"""Test stock_price_summary against an empty set"""
actual = stock_price_summary([])
expected = (0, 0)
self.assertEqual(expected, actual)
def test_stock_... | the_stack_v2_python_sparse | Courses/1402-craftingqualitycode-coursera/code/test_stock_price_summary.py | BruceHad/notes-dev | train | 1 |
5cc06d7b28f74db07919c51ec63fba673e933e54 | [
"n = 3\nk = 2\ninput_bytes = b'abcdefgh' + b'ijklmnop'\noutput_shares = botan.zfec_encode(k, n, input_bytes)\nself.assertEqual(output_shares, [b'abcdefgh', b'ijklmnop', b'qrstuvwX'])",
"def byte_iter():\n b = 0\n while True:\n yield bytes([b])\n b = (b + 1) % 256\nrandom_bytes = byte_iter()\nf... | <|body_start_0|>
n = 3
k = 2
input_bytes = b'abcdefgh' + b'ijklmnop'
output_shares = botan.zfec_encode(k, n, input_bytes)
self.assertEqual(output_shares, [b'abcdefgh', b'ijklmnop', b'qrstuvwX'])
<|end_body_0|>
<|body_start_1|>
def byte_iter():
b = 0
... | Tests relating to the ZFEC bindings | BotanPythonZfecTests | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BotanPythonZfecTests:
"""Tests relating to the ZFEC bindings"""
def test_encode(self):
"""Simple encoder test. Could benefit from more variations"""
<|body_0|>
def test_encode_decode(self):
"""Simple round-trip tests."""
<|body_1|>
def _encode_decode... | stack_v2_sparse_classes_75kplus_train_071630 | 41,200 | permissive | [
{
"docstring": "Simple encoder test. Could benefit from more variations",
"name": "test_encode",
"signature": "def test_encode(self)"
},
{
"docstring": "Simple round-trip tests.",
"name": "test_encode_decode",
"signature": "def test_encode_decode(self)"
},
{
"docstring": "one ins... | 3 | stack_v2_sparse_classes_30k_train_009514 | Implement the Python class `BotanPythonZfecTests` described below.
Class description:
Tests relating to the ZFEC bindings
Method signatures and docstrings:
- def test_encode(self): Simple encoder test. Could benefit from more variations
- def test_encode_decode(self): Simple round-trip tests.
- def _encode_decode_tes... | Implement the Python class `BotanPythonZfecTests` described below.
Class description:
Tests relating to the ZFEC bindings
Method signatures and docstrings:
- def test_encode(self): Simple encoder test. Could benefit from more variations
- def test_encode_decode(self): Simple round-trip tests.
- def _encode_decode_tes... | 560aec3a8bfa2456cc309bac478aca9ae53f0fff | <|skeleton|>
class BotanPythonZfecTests:
"""Tests relating to the ZFEC bindings"""
def test_encode(self):
"""Simple encoder test. Could benefit from more variations"""
<|body_0|>
def test_encode_decode(self):
"""Simple round-trip tests."""
<|body_1|>
def _encode_decode... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BotanPythonZfecTests:
"""Tests relating to the ZFEC bindings"""
def test_encode(self):
"""Simple encoder test. Could benefit from more variations"""
n = 3
k = 2
input_bytes = b'abcdefgh' + b'ijklmnop'
output_shares = botan.zfec_encode(k, n, input_bytes)
sel... | the_stack_v2_python_sparse | src/scripts/test_python.py | randombit/botan | train | 2,362 |
dc3810119a143505151e54df5d5111996050d806 | [
"assert len(scheduler_list) > 0\nfor i in six.moves.range(len(scheduler_list) - 1):\n assert scheduler_list[i][0] < scheduler_list[i + 1][0], 'step of scheduler_list should be incremental.'\nself.scheduler_list = scheduler_list\nself.cur_index = 0\nself.cur_step = 0\nself.cur_value = self.scheduler_list[0][1]\ns... | <|body_start_0|>
assert len(scheduler_list) > 0
for i in six.moves.range(len(scheduler_list) - 1):
assert scheduler_list[i][0] < scheduler_list[i + 1][0], 'step of scheduler_list should be incremental.'
self.scheduler_list = scheduler_list
self.cur_index = 0
self.cur_... | PiecewiseScheduler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PiecewiseScheduler:
def __init__(self, scheduler_list):
"""Piecewise scheduler of hyper parameter. Args: scheduler_list: list of (step, value) pair. E.g. [(0, 0.001), (10000, 0.0005)]"""
<|body_0|>
def step(self):
"""Step one and fetch value according to following ru... | stack_v2_sparse_classes_75kplus_train_071631 | 1,944 | permissive | [
{
"docstring": "Piecewise scheduler of hyper parameter. Args: scheduler_list: list of (step, value) pair. E.g. [(0, 0.001), (10000, 0.0005)]",
"name": "__init__",
"signature": "def __init__(self, scheduler_list)"
},
{
"docstring": "Step one and fetch value according to following rule: Given sche... | 2 | null | Implement the Python class `PiecewiseScheduler` described below.
Class description:
Implement the PiecewiseScheduler class.
Method signatures and docstrings:
- def __init__(self, scheduler_list): Piecewise scheduler of hyper parameter. Args: scheduler_list: list of (step, value) pair. E.g. [(0, 0.001), (10000, 0.0005... | Implement the Python class `PiecewiseScheduler` described below.
Class description:
Implement the PiecewiseScheduler class.
Method signatures and docstrings:
- def __init__(self, scheduler_list): Piecewise scheduler of hyper parameter. Args: scheduler_list: list of (step, value) pair. E.g. [(0, 0.001), (10000, 0.0005... | e91150b84c631ed58a3f53232d463f8193f43dee | <|skeleton|>
class PiecewiseScheduler:
def __init__(self, scheduler_list):
"""Piecewise scheduler of hyper parameter. Args: scheduler_list: list of (step, value) pair. E.g. [(0, 0.001), (10000, 0.0005)]"""
<|body_0|>
def step(self):
"""Step one and fetch value according to following ru... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PiecewiseScheduler:
def __init__(self, scheduler_list):
"""Piecewise scheduler of hyper parameter. Args: scheduler_list: list of (step, value) pair. E.g. [(0, 0.001), (10000, 0.0005)]"""
assert len(scheduler_list) > 0
for i in six.moves.range(len(scheduler_list) - 1):
asser... | the_stack_v2_python_sparse | parl/utils/scheduler.py | alexqdh/PARL | train | 0 | |
98038c928d72199c57ba7858b87c025f130e2f4e | [
"sender_name = request.json.get('sender_name', None)\ndescr = request.json.get('descr', None)\nsent_from = request.json.get('sent_from', None)\nquantity = request.json.get('quantity', None)\nprice = request.json.get('price', None)\nrecipient_name = request.json.get('recipient_name', None)\ndestination = request.jso... | <|body_start_0|>
sender_name = request.json.get('sender_name', None)
descr = request.json.get('descr', None)
sent_from = request.json.get('sent_from', None)
quantity = request.json.get('quantity', None)
price = request.json.get('price', None)
recipient_name = request.json... | Class to handle the creation of parcel orders | Parcels | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Parcels:
"""Class to handle the creation of parcel orders"""
def add_parcel_order(self, sender_name, descr, sent_from, quantity, price, recipient_name, destination, status):
"""Add an order to the parcel delivery order list"""
<|body_0|>
def get_all_parcels(self):
... | stack_v2_sparse_classes_75kplus_train_071632 | 5,285 | permissive | [
{
"docstring": "Add an order to the parcel delivery order list",
"name": "add_parcel_order",
"signature": "def add_parcel_order(self, sender_name, descr, sent_from, quantity, price, recipient_name, destination, status)"
},
{
"docstring": "Fetch all parcels delivery orders from the list",
"na... | 4 | stack_v2_sparse_classes_30k_train_008288 | Implement the Python class `Parcels` described below.
Class description:
Class to handle the creation of parcel orders
Method signatures and docstrings:
- def add_parcel_order(self, sender_name, descr, sent_from, quantity, price, recipient_name, destination, status): Add an order to the parcel delivery order list
- d... | Implement the Python class `Parcels` described below.
Class description:
Class to handle the creation of parcel orders
Method signatures and docstrings:
- def add_parcel_order(self, sender_name, descr, sent_from, quantity, price, recipient_name, destination, status): Add an order to the parcel delivery order list
- d... | 914b5cba4b82442cc7a9a01adaee321948d6abfa | <|skeleton|>
class Parcels:
"""Class to handle the creation of parcel orders"""
def add_parcel_order(self, sender_name, descr, sent_from, quantity, price, recipient_name, destination, status):
"""Add an order to the parcel delivery order list"""
<|body_0|>
def get_all_parcels(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Parcels:
"""Class to handle the creation of parcel orders"""
def add_parcel_order(self, sender_name, descr, sent_from, quantity, price, recipient_name, destination, status):
"""Add an order to the parcel delivery order list"""
sender_name = request.json.get('sender_name', None)
de... | the_stack_v2_python_sparse | app/version1/parcel_delivery_order/models.py | SimonAwiti/sentIT-endpoints | train | 0 |
e8d059f09f073f9569871df34e88dae4a05e5a90 | [
"self.pool = object()\nself.rcs = _FakeRCS()\nself.expected_kwargs = {'headers': headers('token'), 'pool': self.pool}",
"self.expected_kwargs['params'] = {'limit': 10000}\ntreq = get_fake_treq(self, 'get', 'novaurl/servers/detail', ((), self.expected_kwargs), (Response(200), '{\"servers\": {}}'))\nd = nova.list_s... | <|body_start_0|>
self.pool = object()
self.rcs = _FakeRCS()
self.expected_kwargs = {'headers': headers('token'), 'pool': self.pool}
<|end_body_0|>
<|body_start_1|>
self.expected_kwargs['params'] = {'limit': 10000}
treq = get_fake_treq(self, 'get', 'novaurl/servers/detail', ((), ... | Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`. | NovaServerCollectionTestCase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NovaServerCollectionTestCase:
"""Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`."""
def setUp(self):
"""Set up fake pool, treq, responses, and RCS."""
<|body_0|>
def test_list_servers(self):
"""Get all addresses with a particular name and... | stack_v2_sparse_classes_75kplus_train_071633 | 9,051 | permissive | [
{
"docstring": "Set up fake pool, treq, responses, and RCS.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Get all addresses with a particular name and succeeds on 200.",
"name": "test_list_servers",
"signature": "def test_list_servers(self)"
},
{
"docstring... | 3 | stack_v2_sparse_classes_30k_train_000773 | Implement the Python class `NovaServerCollectionTestCase` described below.
Class description:
Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`.
Method signatures and docstrings:
- def setUp(self): Set up fake pool, treq, responses, and RCS.
- def test_list_servers(self): Get all addresses with ... | Implement the Python class `NovaServerCollectionTestCase` described below.
Class description:
Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`.
Method signatures and docstrings:
- def setUp(self): Set up fake pool, treq, responses, and RCS.
- def test_list_servers(self): Get all addresses with ... | 7199cdd67255fe116dbcbedea660c13453671134 | <|skeleton|>
class NovaServerCollectionTestCase:
"""Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`."""
def setUp(self):
"""Set up fake pool, treq, responses, and RCS."""
<|body_0|>
def test_list_servers(self):
"""Get all addresses with a particular name and... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NovaServerCollectionTestCase:
"""Tests for multi-server api helpers in :mod:`otter.integration.lib.nova`."""
def setUp(self):
"""Set up fake pool, treq, responses, and RCS."""
self.pool = object()
self.rcs = _FakeRCS()
self.expected_kwargs = {'headers': headers('token'), '... | the_stack_v2_python_sparse | otter/integration/lib/test_nova.py | rackerlabs/otter | train | 20 |
3dc96e269e33553c2f05b3cf3572d1d41a41ba4c | [
"self.c_puct = c_puct\nself.n_iters = n_iters\nself.root = Node(1, c_puct, parent=None)",
"for i in range(self.n_iters):\n board = chess_board.copy()\n node = self.root\n while not node.is_leaf_node():\n action, node = node.select()\n board.do_action(action)\n is_over, winner = board.is_... | <|body_start_0|>
self.c_puct = c_puct
self.n_iters = n_iters
self.root = Node(1, c_puct, parent=None)
<|end_body_0|>
<|body_start_1|>
for i in range(self.n_iters):
board = chess_board.copy()
node = self.root
while not node.is_leaf_node():
... | 基于随机走棋策略的蒙特卡洛树搜索 | RolloutMCTS | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RolloutMCTS:
"""基于随机走棋策略的蒙特卡洛树搜索"""
def __init__(self, c_puct: float=5, n_iters=1000):
"""Parameters ---------- c_puct: float 探索常数 n_iters: int 迭代搜索次数"""
<|body_0|>
def get_action(self, chess_board: ChessBoard) -> int:
"""根据当前局面返回下一步动作 Parameters ---------- chess... | stack_v2_sparse_classes_75kplus_train_071634 | 2,709 | permissive | [
{
"docstring": "Parameters ---------- c_puct: float 探索常数 n_iters: int 迭代搜索次数",
"name": "__init__",
"signature": "def __init__(self, c_puct: float=5, n_iters=1000)"
},
{
"docstring": "根据当前局面返回下一步动作 Parameters ---------- chess_board: ChessBoard 棋盘",
"name": "get_action",
"signature": "def ... | 4 | null | Implement the Python class `RolloutMCTS` described below.
Class description:
基于随机走棋策略的蒙特卡洛树搜索
Method signatures and docstrings:
- def __init__(self, c_puct: float=5, n_iters=1000): Parameters ---------- c_puct: float 探索常数 n_iters: int 迭代搜索次数
- def get_action(self, chess_board: ChessBoard) -> int: 根据当前局面返回下一步动作 Parame... | Implement the Python class `RolloutMCTS` described below.
Class description:
基于随机走棋策略的蒙特卡洛树搜索
Method signatures and docstrings:
- def __init__(self, c_puct: float=5, n_iters=1000): Parameters ---------- c_puct: float 探索常数 n_iters: int 迭代搜索次数
- def get_action(self, chess_board: ChessBoard) -> int: 根据当前局面返回下一步动作 Parame... | f836aee7147aa2aeb47dd8b370f94950b833718d | <|skeleton|>
class RolloutMCTS:
"""基于随机走棋策略的蒙特卡洛树搜索"""
def __init__(self, c_puct: float=5, n_iters=1000):
"""Parameters ---------- c_puct: float 探索常数 n_iters: int 迭代搜索次数"""
<|body_0|>
def get_action(self, chess_board: ChessBoard) -> int:
"""根据当前局面返回下一步动作 Parameters ---------- chess... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RolloutMCTS:
"""基于随机走棋策略的蒙特卡洛树搜索"""
def __init__(self, c_puct: float=5, n_iters=1000):
"""Parameters ---------- c_puct: float 探索常数 n_iters: int 迭代搜索次数"""
self.c_puct = c_puct
self.n_iters = n_iters
self.root = Node(1, c_puct, parent=None)
def get_action(self, chess_bo... | the_stack_v2_python_sparse | alphazero/rollout_mcts.py | wlmsoft/Alpha-Gobang-Zero | train | 0 |
46ef8270f95a390447d1b040233d4689fcfcb1dc | [
"session = session or _Session()\ngroup_id = group_id or RecommendationGroup.latest(session).id\nreturn session.query(cls).order_by(cls.priority).filter(cls.group_id == group_id, cls.user_id == user_id).all()",
"session = _Session()\nquery = session.query(cls)\nquery = query.order_by(cls.priority)\nquery = query.... | <|body_start_0|>
session = session or _Session()
group_id = group_id or RecommendationGroup.latest(session).id
return session.query(cls).order_by(cls.priority).filter(cls.group_id == group_id, cls.user_id == user_id).all()
<|end_body_0|>
<|body_start_1|>
session = _Session()
que... | Recommendation table. | Recommendation | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Recommendation:
"""Recommendation table."""
def for_user(cls, user_id: int, group_id: int=None, session: _Session=None) -> List[Recommendation]:
"""Select recommendations for the given user and group."""
<|body_0|>
def next(cls, user_id: int, group_id: int=None, limit: i... | stack_v2_sparse_classes_75kplus_train_071635 | 49,365 | permissive | [
{
"docstring": "Select recommendations for the given user and group.",
"name": "for_user",
"signature": "def for_user(cls, user_id: int, group_id: int=None, session: _Session=None) -> List[Recommendation]"
},
{
"docstring": "Select next recommendation(s) for the given user and group, with the hi... | 2 | stack_v2_sparse_classes_30k_train_015506 | Implement the Python class `Recommendation` described below.
Class description:
Recommendation table.
Method signatures and docstrings:
- def for_user(cls, user_id: int, group_id: int=None, session: _Session=None) -> List[Recommendation]: Select recommendations for the given user and group.
- def next(cls, user_id: i... | Implement the Python class `Recommendation` described below.
Class description:
Recommendation table.
Method signatures and docstrings:
- def for_user(cls, user_id: int, group_id: int=None, session: _Session=None) -> List[Recommendation]: Select recommendations for the given user and group.
- def next(cls, user_id: i... | 3f226912ec8d303a067b7c2b794afbb15af00cf9 | <|skeleton|>
class Recommendation:
"""Recommendation table."""
def for_user(cls, user_id: int, group_id: int=None, session: _Session=None) -> List[Recommendation]:
"""Select recommendations for the given user and group."""
<|body_0|>
def next(cls, user_id: int, group_id: int=None, limit: i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Recommendation:
"""Recommendation table."""
def for_user(cls, user_id: int, group_id: int=None, session: _Session=None) -> List[Recommendation]:
"""Select recommendations for the given user and group."""
session = session or _Session()
group_id = group_id or RecommendationGroup.la... | the_stack_v2_python_sparse | refitt/database/model.py | Feliconut/refitt | train | 0 |
45bf13a685742b214d65078cb482a5a5daa4e9f7 | [
"self.shots = shots\nself.n_hidden = n_hidden\nself.n_outputs = n_hidden\nself.wxr = np.random.randn(n_hidden, n_weights_ent)\nself.n_weights_a = n_weights_a if not bias else n_weights_a + 1\nself.n_weights_ent = n_weights_ent\nself.w_size = self.n_hidden * n_weights_ent\nif n_parallel > 1:\n self.wxa = np.rando... | <|body_start_0|>
self.shots = shots
self.n_hidden = n_hidden
self.n_outputs = n_hidden
self.wxr = np.random.randn(n_hidden, n_weights_ent)
self.n_weights_a = n_weights_a if not bias else n_weights_a + 1
self.n_weights_ent = n_weights_ent
self.w_size = self.n_hidde... | Calculates a dense quantum layer consisting of an arbitrary encoder, ansatz and entangler | GeneralRecurrent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GeneralRecurrent:
"""Calculates a dense quantum layer consisting of an arbitrary encoder, ansatz and entangler"""
def __init__(self, n_qubits=None, n_hidden=None, n_weights_a=None, n_weights_ent=None, U_enc=None, U_a=None, U_ent=None, bias=False, n_parallel=1, shots=1000, seed_simulator=None... | stack_v2_sparse_classes_75kplus_train_071636 | 40,089 | no_license | [
{
"docstring": "Input: n_qubits (int) - The number of qubits required for input and hidden vector encoding and ansatz n_hidden (int) - The dimension of hidden feature vector n_weights_a (int) - The number of weights required per activation for ansatz n_weights_ent (int) - The number of weights required per acti... | 3 | stack_v2_sparse_classes_30k_train_051052 | Implement the Python class `GeneralRecurrent` described below.
Class description:
Calculates a dense quantum layer consisting of an arbitrary encoder, ansatz and entangler
Method signatures and docstrings:
- def __init__(self, n_qubits=None, n_hidden=None, n_weights_a=None, n_weights_ent=None, U_enc=None, U_a=None, U... | Implement the Python class `GeneralRecurrent` described below.
Class description:
Calculates a dense quantum layer consisting of an arbitrary encoder, ansatz and entangler
Method signatures and docstrings:
- def __init__(self, n_qubits=None, n_hidden=None, n_weights_a=None, n_weights_ent=None, U_enc=None, U_a=None, U... | c3f3243fdeed6a099a16006d2bf529e2ceedc2b4 | <|skeleton|>
class GeneralRecurrent:
"""Calculates a dense quantum layer consisting of an arbitrary encoder, ansatz and entangler"""
def __init__(self, n_qubits=None, n_hidden=None, n_weights_a=None, n_weights_ent=None, U_enc=None, U_a=None, U_ent=None, bias=False, n_parallel=1, shots=1000, seed_simulator=None... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GeneralRecurrent:
"""Calculates a dense quantum layer consisting of an arbitrary encoder, ansatz and entangler"""
def __init__(self, n_qubits=None, n_hidden=None, n_weights_a=None, n_weights_ent=None, U_enc=None, U_a=None, U_ent=None, bias=False, n_parallel=1, shots=1000, seed_simulator=None, backend=qk.... | the_stack_v2_python_sparse | Deep-Learning/layers.py | stiandb/Thesis | train | 0 |
b4aa72e9ed4c749ec32e82787713d2eac4ff022e | [
"if 'update' not in self.base_url:\n self.base_url = self.base_url + '/update'\nself._assert_json_response_stop_on_error(self._login(username, password))",
"if 'update' not in self.base_url:\n self.base_url = self.base_url + '/update'\nself._assert_json_response_stop_on_error(self._post('logout', session_in... | <|body_start_0|>
if 'update' not in self.base_url:
self.base_url = self.base_url + '/update'
self._assert_json_response_stop_on_error(self._login(username, password))
<|end_body_0|>
<|body_start_1|>
if 'update' not in self.base_url:
self.base_url = self.base_url + '/upda... | _Updatewebservice_Keywords | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Updatewebservice_Keywords:
def upgrade_login(self, username, password):
"""Logs in user and return Session ID Login request is being forwarded to the DataWebService. For more information, visit `/update/login`_. .. _/update/login: http://wiki:8090/display/ERD/Update+Web+Service+API#Upda... | stack_v2_sparse_classes_75kplus_train_071637 | 6,509 | no_license | [
{
"docstring": "Logs in user and return Session ID Login request is being forwarded to the DataWebService. For more information, visit `/update/login`_. .. _/update/login: http://wiki:8090/display/ERD/Update+Web+Service+API#UpdateWebServiceAPI-/api/update/login",
"name": "upgrade_login",
"signature": "d... | 5 | stack_v2_sparse_classes_30k_train_002213 | Implement the Python class `_Updatewebservice_Keywords` described below.
Class description:
Implement the _Updatewebservice_Keywords class.
Method signatures and docstrings:
- def upgrade_login(self, username, password): Logs in user and return Session ID Login request is being forwarded to the DataWebService. For mo... | Implement the Python class `_Updatewebservice_Keywords` described below.
Class description:
Implement the _Updatewebservice_Keywords class.
Method signatures and docstrings:
- def upgrade_login(self, username, password): Logs in user and return Session ID Login request is being forwarded to the DataWebService. For mo... | 5911412b58008a4198e79853cb0eb7949c460b56 | <|skeleton|>
class _Updatewebservice_Keywords:
def upgrade_login(self, username, password):
"""Logs in user and return Session ID Login request is being forwarded to the DataWebService. For more information, visit `/update/login`_. .. _/update/login: http://wiki:8090/display/ERD/Update+Web+Service+API#Upda... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _Updatewebservice_Keywords:
def upgrade_login(self, username, password):
"""Logs in user and return Session ID Login request is being forwarded to the DataWebService. For more information, visit `/update/login`_. .. _/update/login: http://wiki:8090/display/ERD/Update+Web+Service+API#UpdateWebServiceAP... | the_stack_v2_python_sparse | src/WebServiceLibrary/keywords/_updatewebservice_keywords.py | qijia00/RobotFramework_AcceptanceTestDrivenDevelopment_Python | train | 0 | |
7f9a2b359c9ebfc98dfb9b3ffb294e55f64c586d | [
"M = 1000000007\ndp = [[0] * (k + 1) for _ in range(n + 1)]\ndp[0][0] = 1\nfor i in range(1, n + 1):\n dp[i][0] = 1\n for j in range(1, k + 1):\n dp[i][j] = (dp[i - 1][j] + dp[i][j - 1]) % M\n if j >= i:\n dp[i][j] = (dp[i][j] - dp[i - 1][j - i] + M) % M\nprint(dp)\nreturn dp[n][k]",
... | <|body_start_0|>
M = 1000000007
dp = [[0] * (k + 1) for _ in range(n + 1)]
dp[0][0] = 1
for i in range(1, n + 1):
dp[i][0] = 1
for j in range(1, k + 1):
dp[i][j] = (dp[i - 1][j] + dp[i][j - 1]) % M
if j >= i:
dp[... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def kInversePairs(self, n, k):
""":type n: int :type k: int :rtype: int"""
<|body_0|>
def kInversePairs2(self, n, k):
""":type n: int :type k: int :rtype: int"""
<|body_1|>
def kInversePairs3(self, n, k):
""":type n: int :type k: int :r... | stack_v2_sparse_classes_75kplus_train_071638 | 3,029 | no_license | [
{
"docstring": ":type n: int :type k: int :rtype: int",
"name": "kInversePairs",
"signature": "def kInversePairs(self, n, k)"
},
{
"docstring": ":type n: int :type k: int :rtype: int",
"name": "kInversePairs2",
"signature": "def kInversePairs2(self, n, k)"
},
{
"docstring": ":typ... | 3 | stack_v2_sparse_classes_30k_train_041471 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kInversePairs(self, n, k): :type n: int :type k: int :rtype: int
- def kInversePairs2(self, n, k): :type n: int :type k: int :rtype: int
- def kInversePairs3(self, n, k): :ty... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kInversePairs(self, n, k): :type n: int :type k: int :rtype: int
- def kInversePairs2(self, n, k): :type n: int :type k: int :rtype: int
- def kInversePairs3(self, n, k): :ty... | 635af6e22aa8eef8e7920a585d43a45a891a8157 | <|skeleton|>
class Solution:
def kInversePairs(self, n, k):
""":type n: int :type k: int :rtype: int"""
<|body_0|>
def kInversePairs2(self, n, k):
""":type n: int :type k: int :rtype: int"""
<|body_1|>
def kInversePairs3(self, n, k):
""":type n: int :type k: int :r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def kInversePairs(self, n, k):
""":type n: int :type k: int :rtype: int"""
M = 1000000007
dp = [[0] * (k + 1) for _ in range(n + 1)]
dp[0][0] = 1
for i in range(1, n + 1):
dp[i][0] = 1
for j in range(1, k + 1):
dp[i][j] ... | the_stack_v2_python_sparse | code629KInversePairsArray.py | cybelewang/leetcode-python | train | 0 | |
0e854a71321f5444b3a2f992ed4427f0f0f830c8 | [
"self.run.start()\ncurrent_stage = self.run.start_stage\ntry:\n intent_input = self.intent_input\n if current_stage == PipelineStage.STT:\n assert self.stt_metadata is not None\n assert self.stt_stream is not None\n intent_input = await self.run.speech_to_text(self.stt_metadata, self.stt_... | <|body_start_0|>
self.run.start()
current_stage = self.run.start_stage
try:
intent_input = self.intent_input
if current_stage == PipelineStage.STT:
assert self.stt_metadata is not None
assert self.stt_stream is not None
inte... | Input to a pipeline run. | PipelineInput | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PipelineInput:
"""Input to a pipeline run."""
async def execute(self) -> None:
"""Run pipeline."""
<|body_0|>
async def validate(self) -> None:
"""Validate pipeline input against start stage."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.... | stack_v2_sparse_classes_75kplus_train_071639 | 31,871 | permissive | [
{
"docstring": "Run pipeline.",
"name": "execute",
"signature": "async def execute(self) -> None"
},
{
"docstring": "Validate pipeline input against start stage.",
"name": "validate",
"signature": "async def validate(self) -> None"
}
] | 2 | stack_v2_sparse_classes_30k_val_001993 | Implement the Python class `PipelineInput` described below.
Class description:
Input to a pipeline run.
Method signatures and docstrings:
- async def execute(self) -> None: Run pipeline.
- async def validate(self) -> None: Validate pipeline input against start stage. | Implement the Python class `PipelineInput` described below.
Class description:
Input to a pipeline run.
Method signatures and docstrings:
- async def execute(self) -> None: Run pipeline.
- async def validate(self) -> None: Validate pipeline input against start stage.
<|skeleton|>
class PipelineInput:
"""Input to... | 2e65b77b2b5c17919939481f327963abdfdc53f0 | <|skeleton|>
class PipelineInput:
"""Input to a pipeline run."""
async def execute(self) -> None:
"""Run pipeline."""
<|body_0|>
async def validate(self) -> None:
"""Validate pipeline input against start stage."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PipelineInput:
"""Input to a pipeline run."""
async def execute(self) -> None:
"""Run pipeline."""
self.run.start()
current_stage = self.run.start_stage
try:
intent_input = self.intent_input
if current_stage == PipelineStage.STT:
ass... | the_stack_v2_python_sparse | homeassistant/components/assist_pipeline/pipeline.py | konnected-io/home-assistant | train | 24 |
ba18002aaabe090cabaf8c8dd270e858783b0f1b | [
"super(LoadPostgresStep, self).__init__(**kwargs)\nregion = POSTGRES_CONFIG[host_db_key]['REGION']\nrds_instance_id = POSTGRES_CONFIG[host_db_key]['RDS_INSTANCE_ID']\nuser = POSTGRES_CONFIG[host_db_key]['USERNAME']\npassword = POSTGRES_CONFIG[host_db_key]['PASSWORD']\ndatabase_node = self.create_pipeline_object(obj... | <|body_start_0|>
super(LoadPostgresStep, self).__init__(**kwargs)
region = POSTGRES_CONFIG[host_db_key]['REGION']
rds_instance_id = POSTGRES_CONFIG[host_db_key]['RDS_INSTANCE_ID']
user = POSTGRES_CONFIG[host_db_key]['USERNAME']
password = POSTGRES_CONFIG[host_db_key]['PASSWORD']
... | Load Postgres Step class that helps load data into postgres | LoadPostgresStep | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoadPostgresStep:
"""Load Postgres Step class that helps load data into postgres"""
def __init__(self, table, postgres_database, host_db_key, insert_query, max_errors=None, replace_invalid_char=None, **kwargs):
"""Constructor for the LoadPostgresStep class Args: table(path): table na... | stack_v2_sparse_classes_75kplus_train_071640 | 2,945 | permissive | [
{
"docstring": "Constructor for the LoadPostgresStep class Args: table(path): table name for load sql(str): sql query to be executed postgres_database(PostgresDatabase): database to excute the query output_path(str): s3 path where sql output should be saved **kwargs(optional): Keyword arguments directly passed ... | 2 | stack_v2_sparse_classes_30k_train_053011 | Implement the Python class `LoadPostgresStep` described below.
Class description:
Load Postgres Step class that helps load data into postgres
Method signatures and docstrings:
- def __init__(self, table, postgres_database, host_db_key, insert_query, max_errors=None, replace_invalid_char=None, **kwargs): Constructor f... | Implement the Python class `LoadPostgresStep` described below.
Class description:
Load Postgres Step class that helps load data into postgres
Method signatures and docstrings:
- def __init__(self, table, postgres_database, host_db_key, insert_query, max_errors=None, replace_invalid_char=None, **kwargs): Constructor f... | 797cb719e6c2abeda0751ada3339c72bfb19c8f2 | <|skeleton|>
class LoadPostgresStep:
"""Load Postgres Step class that helps load data into postgres"""
def __init__(self, table, postgres_database, host_db_key, insert_query, max_errors=None, replace_invalid_char=None, **kwargs):
"""Constructor for the LoadPostgresStep class Args: table(path): table na... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoadPostgresStep:
"""Load Postgres Step class that helps load data into postgres"""
def __init__(self, table, postgres_database, host_db_key, insert_query, max_errors=None, replace_invalid_char=None, **kwargs):
"""Constructor for the LoadPostgresStep class Args: table(path): table name for load s... | the_stack_v2_python_sparse | dataduct/steps/load_postgres.py | EverFi/dataduct | train | 3 |
df22a1e2abf1dd222d939296e3fc2c6d9b88e1ee | [
"for donor_name in donors:\n newFile = open(donor_name[0] + '.txt', mode='w')\n newFile.write(thankyou_dispacth[int_option](donor_name[0], lifetime_donations(tup_donor_names)))\n newFile.close()\n print(donor_name[0] + 'saved')",
"str_salutation = 'Dear {},'.format(donor)\nstr_body = '\\n\\n' + 'Thank... | <|body_start_0|>
for donor_name in donors:
newFile = open(donor_name[0] + '.txt', mode='w')
newFile.write(thankyou_dispacth[int_option](donor_name[0], lifetime_donations(tup_donor_names)))
newFile.close()
print(donor_name[0] + 'saved')
<|end_body_0|>
<|body_start... | files | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class files:
def write_email(donors):
"""Writes emails to the donors and saves them to text files. :param donors: Tuple table that stores all the donor's donation information. :return:"""
<|body_0|>
def donor_email(donor, dictionary):
"""Formats the email with donor's name... | stack_v2_sparse_classes_75kplus_train_071641 | 14,291 | no_license | [
{
"docstring": "Writes emails to the donors and saves them to text files. :param donors: Tuple table that stores all the donor's donation information. :return:",
"name": "write_email",
"signature": "def write_email(donors)"
},
{
"docstring": "Formats the email with donor's name and total lifetim... | 2 | stack_v2_sparse_classes_30k_test_001323 | Implement the Python class `files` described below.
Class description:
Implement the files class.
Method signatures and docstrings:
- def write_email(donors): Writes emails to the donors and saves them to text files. :param donors: Tuple table that stores all the donor's donation information. :return:
- def donor_ema... | Implement the Python class `files` described below.
Class description:
Implement the files class.
Method signatures and docstrings:
- def write_email(donors): Writes emails to the donors and saves them to text files. :param donors: Tuple table that stores all the donor's donation information. :return:
- def donor_ema... | e298b1151dab639659d8dfa56f47bcb43dd3438f | <|skeleton|>
class files:
def write_email(donors):
"""Writes emails to the donors and saves them to text files. :param donors: Tuple table that stores all the donor's donation information. :return:"""
<|body_0|>
def donor_email(donor, dictionary):
"""Formats the email with donor's name... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class files:
def write_email(donors):
"""Writes emails to the donors and saves them to text files. :param donors: Tuple table that stores all the donor's donation information. :return:"""
for donor_name in donors:
newFile = open(donor_name[0] + '.txt', mode='w')
newFile.write... | the_stack_v2_python_sparse | students/rhamersky/Lesson_5/mailroom_part3.py | UWPCE-PythonCert-ClassRepos/Self_Paced-Online | train | 13 | |
c723ebd6d7d3e289a3454c872487d8818aa8e219 | [
"pub.subscribe(self.updatePositions, 'POSITION_UPDATE')\nself.th = th\nself.parentnotebook = parentnotebook\nself.mainframe = mainframe\nwx.Panel.__init__(self, parent=parentnotebook)\nself.drawPanel()",
"if self.th.df['Date'].iloc[-1] != datetime.datetime.today().strftime('%d/%m/%y'):\n return 'Last updated o... | <|body_start_0|>
pub.subscribe(self.updatePositions, 'POSITION_UPDATE')
self.th = th
self.parentnotebook = parentnotebook
self.mainframe = mainframe
wx.Panel.__init__(self, parent=parentnotebook)
self.drawPanel()
<|end_body_0|>
<|body_start_1|>
if self.th.df['Dat... | TradeActivityTabPanel class: Class to define the Trade Activity tab panel | TradeActivityTabPanel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TradeActivityTabPanel:
"""TradeActivityTabPanel class: Class to define the Trade Activity tab panel"""
def __init__(self, th, parentnotebook, mainframe):
"""Keyword argument: th : TradeHistory object, see TradeHistoryAnalysis.TradeHistory parentnotebook : wx.Python notebook object ma... | stack_v2_sparse_classes_75kplus_train_071642 | 30,343 | no_license | [
{
"docstring": "Keyword argument: th : TradeHistory object, see TradeHistoryAnalysis.TradeHistory parentnotebook : wx.Python notebook object mainframe : wx.Python frame object",
"name": "__init__",
"signature": "def __init__(self, th, parentnotebook, mainframe)"
},
{
"docstring": "Defines lastUp... | 4 | stack_v2_sparse_classes_30k_train_050860 | Implement the Python class `TradeActivityTabPanel` described below.
Class description:
TradeActivityTabPanel class: Class to define the Trade Activity tab panel
Method signatures and docstrings:
- def __init__(self, th, parentnotebook, mainframe): Keyword argument: th : TradeHistory object, see TradeHistoryAnalysis.T... | Implement the Python class `TradeActivityTabPanel` described below.
Class description:
TradeActivityTabPanel class: Class to define the Trade Activity tab panel
Method signatures and docstrings:
- def __init__(self, th, parentnotebook, mainframe): Keyword argument: th : TradeHistory object, see TradeHistoryAnalysis.T... | 4785714afa800147602065b6cc61242bb21f76b4 | <|skeleton|>
class TradeActivityTabPanel:
"""TradeActivityTabPanel class: Class to define the Trade Activity tab panel"""
def __init__(self, th, parentnotebook, mainframe):
"""Keyword argument: th : TradeHistory object, see TradeHistoryAnalysis.TradeHistory parentnotebook : wx.Python notebook object ma... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TradeActivityTabPanel:
"""TradeActivityTabPanel class: Class to define the Trade Activity tab panel"""
def __init__(self, th, parentnotebook, mainframe):
"""Keyword argument: th : TradeHistory object, see TradeHistoryAnalysis.TradeHistory parentnotebook : wx.Python notebook object mainframe : wx.... | the_stack_v2_python_sparse | guiWidgets.py | analyticd/FlowTradingTools | train | 0 |
74cd6f65830cc02fd088e17565b10a5e86b2668d | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('alanbur_jcaluag', 'alanbur_jcaluag')\nwith open('auth.json') as json_file:\n key = json.load(json_file)\napi_key = key['MBTA_api_key']\nurl1 = 'http://realtime.mbta.com/developer/api/v2/routes?api_key... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('alanbur_jcaluag', 'alanbur_jcaluag')
with open('auth.json') as json_file:
key = json.load(json_file)
api_key = key['MBTA_api_key']
... | makes an API call using the MBTA API key to get a list of all MBTA routes. for each bus route, makes an API call to get all the stops on the bus route. Finally, concatenates all the bus stops. | mbta | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class mbta:
"""makes an API call using the MBTA API key to get a list of all MBTA routes. for each bus route, makes an API call to get all the stops on the bus route. Finally, concatenates all the bus stops."""
def execute(trial=False):
"""Retrieve some data sets (not using the API here fo... | stack_v2_sparse_classes_75kplus_train_071643 | 4,161 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | stack_v2_sparse_classes_30k_train_053429 | Implement the Python class `mbta` described below.
Class description:
makes an API call using the MBTA API key to get a list of all MBTA routes. for each bus route, makes an API call to get all the stops on the bus route. Finally, concatenates all the bus stops.
Method signatures and docstrings:
- def execute(trial=F... | Implement the Python class `mbta` described below.
Class description:
makes an API call using the MBTA API key to get a list of all MBTA routes. for each bus route, makes an API call to get all the stops on the bus route. Finally, concatenates all the bus stops.
Method signatures and docstrings:
- def execute(trial=F... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class mbta:
"""makes an API call using the MBTA API key to get a list of all MBTA routes. for each bus route, makes an API call to get all the stops on the bus route. Finally, concatenates all the bus stops."""
def execute(trial=False):
"""Retrieve some data sets (not using the API here fo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class mbta:
"""makes an API call using the MBTA API key to get a list of all MBTA routes. for each bus route, makes an API call to get all the stops on the bus route. Finally, concatenates all the bus stops."""
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of... | the_stack_v2_python_sparse | alanbur_jcaluag/mbta.py | ROODAY/course-2017-fal-proj | train | 3 |
ab40361a5a8e9d636520b13cb97550c685535c45 | [
"if id:\n return session_manager.get_session_by_id(id)\nuser = getattr(current_user, 'name', None)\nif not user:\n self.abort(404, 'User not found')\nreturn session_manager.get_user_sessions(user)",
"if not id:\n self.abort(400, 'Missing id')\nuser = getattr(current_user, 'name', None)\nif not user:\n ... | <|body_start_0|>
if id:
return session_manager.get_session_by_id(id)
user = getattr(current_user, 'name', None)
if not user:
self.abort(404, 'User not found')
return session_manager.get_user_sessions(user)
<|end_body_0|>
<|body_start_1|>
if not id:
... | The :class:`burpui.api.admin.MySessions` resource allows you to retrieve a list of sessions and invalidate them for the current user. This resource is part of the :mod:`burpui.api.admin` module. | MySessions | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySessions:
"""The :class:`burpui.api.admin.MySessions` resource allows you to retrieve a list of sessions and invalidate them for the current user. This resource is part of the :mod:`burpui.api.admin` module."""
def get(self, id=None):
"""Returns a list of sessions **GET** method pr... | stack_v2_sparse_classes_75kplus_train_071644 | 12,359 | permissive | [
{
"docstring": "Returns a list of sessions **GET** method provided by the webservice. :returns: Sessions",
"name": "get",
"signature": "def get(self, id=None)"
},
{
"docstring": "Delete a given session Note: ``id`` is mandatory",
"name": "delete",
"signature": "def delete(self, id=None)"... | 2 | stack_v2_sparse_classes_30k_train_033901 | Implement the Python class `MySessions` described below.
Class description:
The :class:`burpui.api.admin.MySessions` resource allows you to retrieve a list of sessions and invalidate them for the current user. This resource is part of the :mod:`burpui.api.admin` module.
Method signatures and docstrings:
- def get(sel... | Implement the Python class `MySessions` described below.
Class description:
The :class:`burpui.api.admin.MySessions` resource allows you to retrieve a list of sessions and invalidate them for the current user. This resource is part of the :mod:`burpui.api.admin` module.
Method signatures and docstrings:
- def get(sel... | 254f683a58baef2a7943af0895d7b1f65e79fc4c | <|skeleton|>
class MySessions:
"""The :class:`burpui.api.admin.MySessions` resource allows you to retrieve a list of sessions and invalidate them for the current user. This resource is part of the :mod:`burpui.api.admin` module."""
def get(self, id=None):
"""Returns a list of sessions **GET** method pr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MySessions:
"""The :class:`burpui.api.admin.MySessions` resource allows you to retrieve a list of sessions and invalidate them for the current user. This resource is part of the :mod:`burpui.api.admin` module."""
def get(self, id=None):
"""Returns a list of sessions **GET** method provided by the... | the_stack_v2_python_sparse | burpui/api/admin.py | JanCejka/burp-ui | train | 0 |
72d7d3ecd83133d878b17a2613ea957a2043728f | [
"status = ErrorCode.SUCCESS\ntry:\n umobile = self.get_argument('umobile')\n logging.info('[UWEB] Alarmoption request: %s', self.request.arguments)\nexcept Exception as e:\n status = ErrorCode.ILLEGAL_DATA_FORMAT\n logging.exception('[UWEB] Invalid data format. Exception: %s', e.args)\n self.write_re... | <|body_start_0|>
status = ErrorCode.SUCCESS
try:
umobile = self.get_argument('umobile')
logging.info('[UWEB] Alarmoption request: %s', self.request.arguments)
except Exception as e:
status = ErrorCode.ILLEGAL_DATA_FORMAT
logging.exception('[UWEB] I... | Options about alarm info.: url: /alarmoption Key options of alarm info are as follows: 1, # login 2, # powerlow 3, # illegalshake 4, # illegalmove 5, # sos 6, # hearbeat lost 7, # region enter 8, # retion out 9, # power off 10, # stop 11, # speed_limit The alarmoption is associate with user(administrator or operator in... | AlarmOptionHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlarmOptionHandler:
"""Options about alarm info.: url: /alarmoption Key options of alarm info are as follows: 1, # login 2, # powerlow 3, # illegalshake 4, # illegalmove 5, # sos 6, # hearbeat lost 7, # region enter 8, # retion out 9, # power off 10, # stop 11, # speed_limit The alarmoption is as... | stack_v2_sparse_classes_75kplus_train_071645 | 3,171 | no_license | [
{
"docstring": "Display smsoption of current user. workflow: if alarmoption is exist: return alarmoption else: initialize the alarmoption return alarmoption",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Modify alarmoptions for current user. :arg data: dict, e.g. { 'umobile':'x... | 2 | stack_v2_sparse_classes_30k_train_029837 | Implement the Python class `AlarmOptionHandler` described below.
Class description:
Options about alarm info.: url: /alarmoption Key options of alarm info are as follows: 1, # login 2, # powerlow 3, # illegalshake 4, # illegalmove 5, # sos 6, # hearbeat lost 7, # region enter 8, # retion out 9, # power off 10, # stop ... | Implement the Python class `AlarmOptionHandler` described below.
Class description:
Options about alarm info.: url: /alarmoption Key options of alarm info are as follows: 1, # login 2, # powerlow 3, # illegalshake 4, # illegalmove 5, # sos 6, # hearbeat lost 7, # region enter 8, # retion out 9, # power off 10, # stop ... | 3b095a325581b1fc48497c234f0ad55e928586a1 | <|skeleton|>
class AlarmOptionHandler:
"""Options about alarm info.: url: /alarmoption Key options of alarm info are as follows: 1, # login 2, # powerlow 3, # illegalshake 4, # illegalmove 5, # sos 6, # hearbeat lost 7, # region enter 8, # retion out 9, # power off 10, # stop 11, # speed_limit The alarmoption is as... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlarmOptionHandler:
"""Options about alarm info.: url: /alarmoption Key options of alarm info are as follows: 1, # login 2, # powerlow 3, # illegalshake 4, # illegalmove 5, # sos 6, # hearbeat lost 7, # region enter 8, # retion out 9, # power off 10, # stop 11, # speed_limit The alarmoption is associate with ... | the_stack_v2_python_sparse | apps/uweb/handlers/alarmoption.py | jcsy521/ydws | train | 0 |
8099d6e0003613f125e4831fc65ba8684820cec3 | [
"self.sums = {}\nif len(nums) > 0:\n self.sums[0] = nums[0]\n for i in range(1, len(nums)):\n self.sums[i] = self.sums[i - 1] + nums[i]",
"if len(self.sums) == 0 or j >= len(self.sums):\n return None\nreturn self.sums[j] if i == 0 else self.sums[j] - self.sums[i - 1]"
] | <|body_start_0|>
self.sums = {}
if len(nums) > 0:
self.sums[0] = nums[0]
for i in range(1, len(nums)):
self.sums[i] = self.sums[i - 1] + nums[i]
<|end_body_0|>
<|body_start_1|>
if len(self.sums) == 0 or j >= len(self.sums):
return None
... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.sums = {}
if len(nums) > 0:
self.s... | stack_v2_sparse_classes_75kplus_train_071646 | 645 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009232 | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | 1d0572efd88f9ad7eccccefe3fe170e92a9b6487 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
self.sums = {}
if len(nums) > 0:
self.sums[0] = nums[0]
for i in range(1, len(nums)):
self.sums[i] = self.sums[i - 1] + nums[i]
def sumRange(self, i, j):
""":type i: int... | the_stack_v2_python_sparse | Python3/Range Sum Query - Immutable.py | alexfy/LeetCode | train | 0 | |
17af97c1b2350a2b9299788d2423628893ae3c59 | [
"print('init vtkAnimCameraAroundZ')\nvtkAnimation.__init__(self, t)\nself.turn = turn\nself.time_anim_ends = t + abs(self.turn) / 10\nprint('time_anim_starts', self.time_anim_starts)\nprint('time_anim_ends', self.time_anim_ends)\nprint('turn', self.turn)\nself.camera = cam",
"do = vtkAnimation.pre_execute(self)\n... | <|body_start_0|>
print('init vtkAnimCameraAroundZ')
vtkAnimation.__init__(self, t)
self.turn = turn
self.time_anim_ends = t + abs(self.turn) / 10
print('time_anim_starts', self.time_anim_starts)
print('time_anim_ends', self.time_anim_ends)
print('turn', self.turn)... | Animate the camera around the vertical axis. This class can be used to generate a series of images (default 36) while the camera rotate around the vertical axis (defined by the camera SetViewUp method). | vtkAnimCameraAroundZ | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class vtkAnimCameraAroundZ:
"""Animate the camera around the vertical axis. This class can be used to generate a series of images (default 36) while the camera rotate around the vertical axis (defined by the camera SetViewUp method)."""
def __init__(self, t, cam, turn=360):
"""Initialize t... | stack_v2_sparse_classes_75kplus_train_071647 | 12,455 | permissive | [
{
"docstring": "Initialize the animation. The animation perform a full turn in 36 frames by default.",
"name": "__init__",
"signature": "def __init__(self, t, cam, turn=360)"
},
{
"docstring": "Execute method called to rotate the camera.",
"name": "execute",
"signature": "def execute(sel... | 2 | stack_v2_sparse_classes_30k_train_033018 | Implement the Python class `vtkAnimCameraAroundZ` described below.
Class description:
Animate the camera around the vertical axis. This class can be used to generate a series of images (default 36) while the camera rotate around the vertical axis (defined by the camera SetViewUp method).
Method signatures and docstri... | Implement the Python class `vtkAnimCameraAroundZ` described below.
Class description:
Animate the camera around the vertical axis. This class can be used to generate a series of images (default 36) while the camera rotate around the vertical axis (defined by the camera SetViewUp method).
Method signatures and docstri... | c1546b7a8925fd1b2e887beb8bf1f86e2a40216f | <|skeleton|>
class vtkAnimCameraAroundZ:
"""Animate the camera around the vertical axis. This class can be used to generate a series of images (default 36) while the camera rotate around the vertical axis (defined by the camera SetViewUp method)."""
def __init__(self, t, cam, turn=360):
"""Initialize t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class vtkAnimCameraAroundZ:
"""Animate the camera around the vertical axis. This class can be used to generate a series of images (default 36) while the camera rotate around the vertical axis (defined by the camera SetViewUp method)."""
def __init__(self, t, cam, turn=360):
"""Initialize the animation.... | the_stack_v2_python_sparse | pymicro/view/vtk_anim.py | heprom/pymicro | train | 39 |
2cb7875bec75f1dd54b2829700a5befe6aa410d2 | [
"sentinel_sectPr = self.get_or_add_sectPr()\nself.add_p().set_sectPr(sentinel_sectPr.clone())\nfor hdrftr_ref in sentinel_sectPr.xpath('w:headerReference|w:footerReference'):\n sentinel_sectPr.remove(hdrftr_ref)\nreturn sentinel_sectPr",
"if self.sectPr is not None:\n content_elms = self[:-1]\nelse:\n co... | <|body_start_0|>
sentinel_sectPr = self.get_or_add_sectPr()
self.add_p().set_sectPr(sentinel_sectPr.clone())
for hdrftr_ref in sentinel_sectPr.xpath('w:headerReference|w:footerReference'):
sentinel_sectPr.remove(hdrftr_ref)
return sentinel_sectPr
<|end_body_0|>
<|body_start_... | ``<w:body>``, the container element for the main document story in ``document.xml``. | CT_Body | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CT_Body:
"""``<w:body>``, the container element for the main document story in ``document.xml``."""
def add_section_break(self):
"""Return `w:sectPr` element for new section added at end of document. The last `w:sectPr` becomes the second-to-last, with the new `w:sectPr` being an exa... | stack_v2_sparse_classes_75kplus_train_071648 | 2,543 | permissive | [
{
"docstring": "Return `w:sectPr` element for new section added at end of document. The last `w:sectPr` becomes the second-to-last, with the new `w:sectPr` being an exact clone of the previous one, except that all header and footer references are removed (and are therefore now \"inherited\" from the prior secti... | 2 | stack_v2_sparse_classes_30k_train_023329 | Implement the Python class `CT_Body` described below.
Class description:
``<w:body>``, the container element for the main document story in ``document.xml``.
Method signatures and docstrings:
- def add_section_break(self): Return `w:sectPr` element for new section added at end of document. The last `w:sectPr` becomes... | Implement the Python class `CT_Body` described below.
Class description:
``<w:body>``, the container element for the main document story in ``document.xml``.
Method signatures and docstrings:
- def add_section_break(self): Return `w:sectPr` element for new section added at end of document. The last `w:sectPr` becomes... | 2bfcf6b9779bf1abd41e1bc42c27007127ddbefb | <|skeleton|>
class CT_Body:
"""``<w:body>``, the container element for the main document story in ``document.xml``."""
def add_section_break(self):
"""Return `w:sectPr` element for new section added at end of document. The last `w:sectPr` becomes the second-to-last, with the new `w:sectPr` being an exa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CT_Body:
"""``<w:body>``, the container element for the main document story in ``document.xml``."""
def add_section_break(self):
"""Return `w:sectPr` element for new section added at end of document. The last `w:sectPr` becomes the second-to-last, with the new `w:sectPr` being an exact clone of t... | the_stack_v2_python_sparse | anuvaad-etl/anuvaad-extractor/file_translator/etl-file-translator/docx/oxml/document.py | project-anuvaad/anuvaad | train | 41 |
6a57930adec9ff76f9348442e2131342311a2ea9 | [
"info_list = []\nele_list = self.finds(By.CSS_SELECTOR, '.member_colRight_memberTable_td')\nfor ele in ele_list:\n info_list.append(ele.get_attribute('title'))\ntry:\n while 1:\n self.click(By.CSS_SELECTOR, '.js_next_page')\n ele_list = self.finds(By.CSS_SELECTOR, '.member_colRight_memberTable_t... | <|body_start_0|>
info_list = []
ele_list = self.finds(By.CSS_SELECTOR, '.member_colRight_memberTable_td')
for ele in ele_list:
info_list.append(ele.get_attribute('title'))
try:
while 1:
self.click(By.CSS_SELECTOR, '.js_next_page')
e... | MenuContactsPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MenuContactsPage:
def get_user_info(self):
"""兼容分页问题 1、直接取第一页内容 2、当 js_next_page 翻页元素不存在时，直接pass 3、当 js_next_page 翻页元素存在时，循环点击并取出当页内容，直到该元素属性不可点击 :return: 通讯录的全部信息"""
<|body_0|>
def check_user_info(self, info):
"""1、设置默认参数 False 2、获取首页信息，判断用户名存在，则更新参数为 True 3、首页不存在 i... | stack_v2_sparse_classes_75kplus_train_071649 | 5,116 | no_license | [
{
"docstring": "兼容分页问题 1、直接取第一页内容 2、当 js_next_page 翻页元素不存在时，直接pass 3、当 js_next_page 翻页元素存在时，循环点击并取出当页内容，直到该元素属性不可点击 :return: 通讯录的全部信息",
"name": "get_user_info",
"signature": "def get_user_info(self)"
},
{
"docstring": "1、设置默认参数 False 2、获取首页信息，判断用户名存在，则更新参数为 True 3、首页不存在 info，(1) js_next_page 翻页元... | 3 | null | Implement the Python class `MenuContactsPage` described below.
Class description:
Implement the MenuContactsPage class.
Method signatures and docstrings:
- def get_user_info(self): 兼容分页问题 1、直接取第一页内容 2、当 js_next_page 翻页元素不存在时，直接pass 3、当 js_next_page 翻页元素存在时，循环点击并取出当页内容，直到该元素属性不可点击 :return: 通讯录的全部信息
- def check_user_in... | Implement the Python class `MenuContactsPage` described below.
Class description:
Implement the MenuContactsPage class.
Method signatures and docstrings:
- def get_user_info(self): 兼容分页问题 1、直接取第一页内容 2、当 js_next_page 翻页元素不存在时，直接pass 3、当 js_next_page 翻页元素存在时，循环点击并取出当页内容，直到该元素属性不可点击 :return: 通讯录的全部信息
- def check_user_in... | 502e5fd0521e82129c8434ada86987d4c3759c38 | <|skeleton|>
class MenuContactsPage:
def get_user_info(self):
"""兼容分页问题 1、直接取第一页内容 2、当 js_next_page 翻页元素不存在时，直接pass 3、当 js_next_page 翻页元素存在时，循环点击并取出当页内容，直到该元素属性不可点击 :return: 通讯录的全部信息"""
<|body_0|>
def check_user_info(self, info):
"""1、设置默认参数 False 2、获取首页信息，判断用户名存在，则更新参数为 True 3、首页不存在 i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MenuContactsPage:
def get_user_info(self):
"""兼容分页问题 1、直接取第一页内容 2、当 js_next_page 翻页元素不存在时，直接pass 3、当 js_next_page 翻页元素存在时，循环点击并取出当页内容，直到该元素属性不可点击 :return: 通讯录的全部信息"""
info_list = []
ele_list = self.finds(By.CSS_SELECTOR, '.member_colRight_memberTable_td')
for ele in ele_list:
... | the_stack_v2_python_sparse | homework_05/live/page/menu_contacts_page.py | guoccf/HogwartsLG6Gcc | train | 0 | |
1975f136643f26728a6846cbca65cdafcf5c2a1b | [
"if N == 1:\n return 1\nif N == 2:\n return 2\ndp = [1 for _ in range(N + 1)]\ndp[2] = 2\nfor i in range(3, N + 1):\n dp[i] = (2 * dp[i - 1] + dp[i - 3]) % int(1000000000.0 + 7)\nreturn dp[-1]",
"import numpy as np\nif N == 1:\n return 1\nif N == 2:\n return 2\nif N % 2 == 1:\n k = (N - 2) // 2\... | <|body_start_0|>
if N == 1:
return 1
if N == 2:
return 2
dp = [1 for _ in range(N + 1)]
dp[2] = 2
for i in range(3, N + 1):
dp[i] = (2 * dp[i - 1] + dp[i - 3]) % int(1000000000.0 + 7)
return dp[-1]
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numTilings(self, N):
""":type N: int :rtype: int 35MS"""
<|body_0|>
def numTilings_1(self, N):
""":type N: int :rtype: int 95MS"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if N == 1:
return 1
if N == 2:
... | stack_v2_sparse_classes_75kplus_train_071650 | 1,973 | no_license | [
{
"docstring": ":type N: int :rtype: int 35MS",
"name": "numTilings",
"signature": "def numTilings(self, N)"
},
{
"docstring": ":type N: int :rtype: int 95MS",
"name": "numTilings_1",
"signature": "def numTilings_1(self, N)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009600 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numTilings(self, N): :type N: int :rtype: int 35MS
- def numTilings_1(self, N): :type N: int :rtype: int 95MS | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numTilings(self, N): :type N: int :rtype: int 35MS
- def numTilings_1(self, N): :type N: int :rtype: int 95MS
<|skeleton|>
class Solution:
def numTilings(self, N):
... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def numTilings(self, N):
""":type N: int :rtype: int 35MS"""
<|body_0|>
def numTilings_1(self, N):
""":type N: int :rtype: int 95MS"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numTilings(self, N):
""":type N: int :rtype: int 35MS"""
if N == 1:
return 1
if N == 2:
return 2
dp = [1 for _ in range(N + 1)]
dp[2] = 2
for i in range(3, N + 1):
dp[i] = (2 * dp[i - 1] + dp[i - 3]) % int(100000... | the_stack_v2_python_sparse | DominoAndTrominoTiling_MID_790.py | 953250587/leetcode-python | train | 2 | |
124c97729075dc788d84f7b3a36dfd1a0820525b | [
"from pygtt import PyGTT\nself._pygtt = PyGTT()\nself._stop = stop\nself._bus_name = bus_name\nself.bus_list = {}\nself.state_bus = {}",
"self.bus_list = self._pygtt.get_by_stop(self._stop)\nself.bus_list.sort(key=get_datetime)\nif self._bus_name is not None:\n self.state_bus = self.get_bus_by_name()\n retu... | <|body_start_0|>
from pygtt import PyGTT
self._pygtt = PyGTT()
self._stop = stop
self._bus_name = bus_name
self.bus_list = {}
self.state_bus = {}
<|end_body_0|>
<|body_start_1|>
self.bus_list = self._pygtt.get_by_stop(self._stop)
self.bus_list.sort(key=ge... | Inteface to PyGTT. | GttData | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GttData:
"""Inteface to PyGTT."""
def __init__(self, stop, bus_name):
"""Initialize the GttData class."""
<|body_0|>
def get_data(self):
"""Get the data from the api."""
<|body_1|>
def get_bus_by_name(self):
"""Get the bus by name."""
... | stack_v2_sparse_classes_75kplus_train_071651 | 3,266 | permissive | [
{
"docstring": "Initialize the GttData class.",
"name": "__init__",
"signature": "def __init__(self, stop, bus_name)"
},
{
"docstring": "Get the data from the api.",
"name": "get_data",
"signature": "def get_data(self)"
},
{
"docstring": "Get the bus by name.",
"name": "get_b... | 3 | stack_v2_sparse_classes_30k_train_011471 | Implement the Python class `GttData` described below.
Class description:
Inteface to PyGTT.
Method signatures and docstrings:
- def __init__(self, stop, bus_name): Initialize the GttData class.
- def get_data(self): Get the data from the api.
- def get_bus_by_name(self): Get the bus by name. | Implement the Python class `GttData` described below.
Class description:
Inteface to PyGTT.
Method signatures and docstrings:
- def __init__(self, stop, bus_name): Initialize the GttData class.
- def get_data(self): Get the data from the api.
- def get_bus_by_name(self): Get the bus by name.
<|skeleton|>
class GttDa... | 534eee0796950f3f6aade978316418a194a6b2a1 | <|skeleton|>
class GttData:
"""Inteface to PyGTT."""
def __init__(self, stop, bus_name):
"""Initialize the GttData class."""
<|body_0|>
def get_data(self):
"""Get the data from the api."""
<|body_1|>
def get_bus_by_name(self):
"""Get the bus by name."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GttData:
"""Inteface to PyGTT."""
def __init__(self, stop, bus_name):
"""Initialize the GttData class."""
from pygtt import PyGTT
self._pygtt = PyGTT()
self._stop = stop
self._bus_name = bus_name
self.bus_list = {}
self.state_bus = {}
def get_d... | the_stack_v2_python_sparse | homeassistant/custom_components/gtt/sensor.py | eliseomartelli/HomeAutomation-Config | train | 32 |
a58e4160d68b175df5879c1827ff418d3db60558 | [
"taskPath = self.basePath / taskName\nkeys: Set[str] = set()\nif taskPath.is_dir():\n keys.update((path.name for path in taskPath.iterdir()))\nreturn keys",
"valuePath = self.basePath / taskName / key\nfor run in runIds:\n try:\n with open(valuePath / run) as inp:\n value = inp.readline()\... | <|body_start_0|>
taskPath = self.basePath / taskName
keys: Set[str] = set()
if taskPath.is_dir():
keys.update((path.name for path in taskPath.iterdir()))
return keys
<|end_body_0|>
<|body_start_1|>
valuePath = self.basePath / taskName / key
for run in runIds:... | ResultStorage | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResultStorage:
def getCustomKeys(self, taskName: str) -> Set[str]:
"""Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key."""
<|body_0|... | stack_v2_sparse_classes_75kplus_train_071652 | 2,681 | permissive | [
{
"docstring": "Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key.",
"name": "getCustomKeys",
"signature": "def getCustomKeys(self, taskName: str) -> Set[str... | 3 | stack_v2_sparse_classes_30k_train_004965 | Implement the Python class `ResultStorage` described below.
Class description:
Implement the ResultStorage class.
Method signatures and docstrings:
- def getCustomKeys(self, taskName: str) -> Set[str]: Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one ... | Implement the Python class `ResultStorage` described below.
Class description:
Implement the ResultStorage class.
Method signatures and docstrings:
- def getCustomKeys(self, taskName: str) -> Set[str]: Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one ... | 0ecf899f66a1fb046ee869cbfa3b5374b3f8aa14 | <|skeleton|>
class ResultStorage:
def getCustomKeys(self, taskName: str) -> Set[str]:
"""Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key."""
<|body_0|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResultStorage:
def getCustomKeys(self, taskName: str) -> Set[str]:
"""Get the set of used-defined keys that exist for the given task name. The existance of a key means that at least one record contains that key; it is not guaranteed all records will contain that key."""
taskPath = self.basePat... | the_stack_v2_python_sparse | src/softfab/resultlib.py | boxingbeetle/softfab | train | 20 | |
fee941112eda563154ec9e1ea07d7daf775ca48e | [
"\"\"\"\n string是一种不可变的数据类型\n O(n)的时间复杂度，还有各种类型转换\n \"\"\"\nx_s = list(str(x))\nif len(x_s) <= 1:\n return x\nsign = 1\nif x_s[0] == '-':\n sign = -1\n x_s = x_s[1:]\ni, j = (0, len(x_s) - 1)\nwhile i < j:\n x_s[i], x_s[j] = (x_s[j], x_s[i])\n i += 1\n j -= 1\nresult = sign * ... | <|body_start_0|>
"""
string是一种不可变的数据类型
O(n)的时间复杂度，还有各种类型转换
"""
x_s = list(str(x))
if len(x_s) <= 1:
return x
sign = 1
if x_s[0] == '-':
sign = -1
x_s = x_s[1:]
i, j = (0, len(x_s) - 1)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverse(self, x):
""":type x: int :rtype: int"""
<|body_0|>
def reverse_2(self, x):
"""rev是返回结果，依次将x弹出最末尾的意味， 将其添加到rev的第一位。注意判断溢出 log(n)的时间复杂度 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
"""
string是一种不可变的数据... | stack_v2_sparse_classes_75kplus_train_071653 | 1,619 | no_license | [
{
"docstring": ":type x: int :rtype: int",
"name": "reverse",
"signature": "def reverse(self, x)"
},
{
"docstring": "rev是返回结果，依次将x弹出最末尾的意味， 将其添加到rev的第一位。注意判断溢出 log(n)的时间复杂度 :return:",
"name": "reverse_2",
"signature": "def reverse_2(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_043478 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverse(self, x): :type x: int :rtype: int
- def reverse_2(self, x): rev是返回结果，依次将x弹出最末尾的意味， 将其添加到rev的第一位。注意判断溢出 log(n)的时间复杂度 :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverse(self, x): :type x: int :rtype: int
- def reverse_2(self, x): rev是返回结果，依次将x弹出最末尾的意味， 将其添加到rev的第一位。注意判断溢出 log(n)的时间复杂度 :return:
<|skeleton|>
class Solution:
def r... | 09b7121628df824f432b8cdd25c55f045b013c0b | <|skeleton|>
class Solution:
def reverse(self, x):
""":type x: int :rtype: int"""
<|body_0|>
def reverse_2(self, x):
"""rev是返回结果，依次将x弹出最末尾的意味， 将其添加到rev的第一位。注意判断溢出 log(n)的时间复杂度 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverse(self, x):
""":type x: int :rtype: int"""
"""
string是一种不可变的数据类型
O(n)的时间复杂度，还有各种类型转换
"""
x_s = list(str(x))
if len(x_s) <= 1:
return x
sign = 1
if x_s[0] == '-':
sign = -... | the_stack_v2_python_sparse | tuter_start/7_int.py | cainingning/leetcode | train | 1 | |
33ef1fffcfec905b8f6068d382f5aeb94a0ad81a | [
"context = {}\ncotizacion = CotizacionOrdenDeTrabajo.objects.get(id=kwargs['pk'])\nif cotizacion.es_valida():\n info_repuestos_faltantes = self.verificar_inventario_sucursal(cotizacion)\n if info_repuestos_faltantes:\n self.cargar_mensajes_de_errores(info_repuestos_faltantes)\n return HttpRespon... | <|body_start_0|>
context = {}
cotizacion = CotizacionOrdenDeTrabajo.objects.get(id=kwargs['pk'])
if cotizacion.es_valida():
info_repuestos_faltantes = self.verificar_inventario_sucursal(cotizacion)
if info_repuestos_faltantes:
self.cargar_mensajes_de_error... | FacturaOrdenDeTrabajoCreateView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FacturaOrdenDeTrabajoCreateView:
def get(self, request, *args, **kwargs):
"""Documentacion get Permite generar la factura que es el paso siguiente a una cotización de una orden de trabajo, antes de generarse la factura, se comprueba si la cotización no esta vencida, luego se verifica que... | stack_v2_sparse_classes_75kplus_train_071654 | 7,599 | no_license | [
{
"docstring": "Documentacion get Permite generar la factura que es el paso siguiente a una cotización de una orden de trabajo, antes de generarse la factura, se comprueba si la cotización no esta vencida, luego se verifica que en inventario de la sucursal esten todos los repuestos necesarios para reparar el ve... | 4 | stack_v2_sparse_classes_30k_test_002385 | Implement the Python class `FacturaOrdenDeTrabajoCreateView` described below.
Class description:
Implement the FacturaOrdenDeTrabajoCreateView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Documentacion get Permite generar la factura que es el paso siguiente a una cotización de u... | Implement the Python class `FacturaOrdenDeTrabajoCreateView` described below.
Class description:
Implement the FacturaOrdenDeTrabajoCreateView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Documentacion get Permite generar la factura que es el paso siguiente a una cotización de u... | 3e74310b47c82d2dc420e6aaa743a2bc077fd635 | <|skeleton|>
class FacturaOrdenDeTrabajoCreateView:
def get(self, request, *args, **kwargs):
"""Documentacion get Permite generar la factura que es el paso siguiente a una cotización de una orden de trabajo, antes de generarse la factura, se comprueba si la cotización no esta vencida, luego se verifica que... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FacturaOrdenDeTrabajoCreateView:
def get(self, request, *args, **kwargs):
"""Documentacion get Permite generar la factura que es el paso siguiente a una cotización de una orden de trabajo, antes de generarse la factura, se comprueba si la cotización no esta vencida, luego se verifica que en inventario... | the_stack_v2_python_sparse | concesionario/apps/factura_orden_de_trabajo/forms.py | DonAurelio/SIGIA | train | 2 | |
013c9018ed5c308ede628fd084f5bb063abb065f | [
"LOG.info('Initializing - Version:{}'.format(__version__))\nself.m_pyhouse_obj = p_pyhouse_obj\nself.m_config = Config(p_pyhouse_obj)\nself.m_utility = Utility(p_pyhouse_obj)\np_pyhouse_obj.House = HouseInformation()\nself.m_location_api = location.Api(p_pyhouse_obj)\nself.m_floor_api = floors.Api(p_pyhouse_obj)\ns... | <|body_start_0|>
LOG.info('Initializing - Version:{}'.format(__version__))
self.m_pyhouse_obj = p_pyhouse_obj
self.m_config = Config(p_pyhouse_obj)
self.m_utility = Utility(p_pyhouse_obj)
p_pyhouse_obj.House = HouseInformation()
self.m_location_api = location.Api(p_pyhous... | API | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class API:
def __init__(self, p_pyhouse_obj):
"""**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running."""
<|body_0|>
def LoadConfig(self):
"""The house is always present but the components of the house ar... | stack_v2_sparse_classes_75kplus_train_071655 | 14,568 | no_license | [
{
"docstring": "**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running.",
"name": "__init__",
"signature": "def __init__(self, p_pyhouse_obj)"
},
{
"docstring": "The house is always present but the components of the house are plu... | 5 | stack_v2_sparse_classes_30k_train_003113 | Implement the Python class `API` described below.
Class description:
Implement the API class.
Method signatures and docstrings:
- def __init__(self, p_pyhouse_obj): **NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running.
- def LoadConfig(self): The ho... | Implement the Python class `API` described below.
Class description:
Implement the API class.
Method signatures and docstrings:
- def __init__(self, p_pyhouse_obj): **NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running.
- def LoadConfig(self): The ho... | 8ccbbd1494b7b33ff5099d321cda634fbb254ceb | <|skeleton|>
class API:
def __init__(self, p_pyhouse_obj):
"""**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running."""
<|body_0|>
def LoadConfig(self):
"""The house is always present but the components of the house ar... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class API:
def __init__(self, p_pyhouse_obj):
"""**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running."""
LOG.info('Initializing - Version:{}'.format(__version__))
self.m_pyhouse_obj = p_pyhouse_obj
self.m_config = ... | the_stack_v2_python_sparse | Project/src/Modules/House/house.py | bopopescu/PyHouse | train | 0 | |
8a3c8a046cbc91b4aee99771a107e0101f23ef7c | [
"if (serial_no := data_service.serial_no) is not None:\n self._attr_unique_id = f'{serial_no}_{description.key}'\nself._attr_device_info = data_service.device_info\nself.entity_description = description\nself._data_service = data_service",
"try:\n self._data_service.update()\nexcept OSError as ex:\n if s... | <|body_start_0|>
if (serial_no := data_service.serial_no) is not None:
self._attr_unique_id = f'{serial_no}_{description.key}'
self._attr_device_info = data_service.device_info
self.entity_description = description
self._data_service = data_service
<|end_body_0|>
<|body_star... | Representation of a UPS online status. | OnlineStatus | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OnlineStatus:
"""Representation of a UPS online status."""
def __init__(self, data_service: APCUPSdData, description: BinarySensorEntityDescription) -> None:
"""Initialize the APCUPSd binary device."""
<|body_0|>
def update(self) -> None:
"""Get the status report... | stack_v2_sparse_classes_75kplus_train_071656 | 2,445 | permissive | [
{
"docstring": "Initialize the APCUPSd binary device.",
"name": "__init__",
"signature": "def __init__(self, data_service: APCUPSdData, description: BinarySensorEntityDescription) -> None"
},
{
"docstring": "Get the status report from APCUPSd and set this entity's state.",
"name": "update",
... | 2 | stack_v2_sparse_classes_30k_train_020152 | Implement the Python class `OnlineStatus` described below.
Class description:
Representation of a UPS online status.
Method signatures and docstrings:
- def __init__(self, data_service: APCUPSdData, description: BinarySensorEntityDescription) -> None: Initialize the APCUPSd binary device.
- def update(self) -> None: ... | Implement the Python class `OnlineStatus` described below.
Class description:
Representation of a UPS online status.
Method signatures and docstrings:
- def __init__(self, data_service: APCUPSdData, description: BinarySensorEntityDescription) -> None: Initialize the APCUPSd binary device.
- def update(self) -> None: ... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class OnlineStatus:
"""Representation of a UPS online status."""
def __init__(self, data_service: APCUPSdData, description: BinarySensorEntityDescription) -> None:
"""Initialize the APCUPSd binary device."""
<|body_0|>
def update(self) -> None:
"""Get the status report... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OnlineStatus:
"""Representation of a UPS online status."""
def __init__(self, data_service: APCUPSdData, description: BinarySensorEntityDescription) -> None:
"""Initialize the APCUPSd binary device."""
if (serial_no := data_service.serial_no) is not None:
self._attr_unique_id ... | the_stack_v2_python_sparse | homeassistant/components/apcupsd/binary_sensor.py | home-assistant/core | train | 35,501 |
7e97ea6164f8126e8aeda62ee58122bc0718f4d2 | [
"super(GroverFpGeneration, self).__init__()\nself.fingerprint_source = args.fingerprint_source\nself.iscuda = args.cuda\nself.grover = GROVEREmbedding(args)\nself.readout = Readout(rtype='mean', hidden_size=args.hidden_size)",
"_, _, _, _, _, a_scope, b_scope, _ = batch\noutput = self.grover(batch)\nmol_atom_from... | <|body_start_0|>
super(GroverFpGeneration, self).__init__()
self.fingerprint_source = args.fingerprint_source
self.iscuda = args.cuda
self.grover = GROVEREmbedding(args)
self.readout = Readout(rtype='mean', hidden_size=args.hidden_size)
<|end_body_0|>
<|body_start_1|>
_,... | GroverFpGeneration class. It loads the pre-trained model and produce the fingerprints for input molecules. | GroverFpGeneration | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroverFpGeneration:
"""GroverFpGeneration class. It loads the pre-trained model and produce the fingerprints for input molecules."""
def __init__(self, args):
"""Init function. :param args: the arguments."""
<|body_0|>
def forward(self, batch, features_batch):
""... | stack_v2_sparse_classes_75kplus_train_071657 | 23,044 | permissive | [
{
"docstring": "Init function. :param args: the arguments.",
"name": "__init__",
"signature": "def __init__(self, args)"
},
{
"docstring": "The forward function. It takes graph batch and molecular feature batch as input and produce the fingerprints of this molecules. :param batch: :param feature... | 2 | stack_v2_sparse_classes_30k_train_009452 | Implement the Python class `GroverFpGeneration` described below.
Class description:
GroverFpGeneration class. It loads the pre-trained model and produce the fingerprints for input molecules.
Method signatures and docstrings:
- def __init__(self, args): Init function. :param args: the arguments.
- def forward(self, ba... | Implement the Python class `GroverFpGeneration` described below.
Class description:
GroverFpGeneration class. It loads the pre-trained model and produce the fingerprints for input molecules.
Method signatures and docstrings:
- def __init__(self, args): Init function. :param args: the arguments.
- def forward(self, ba... | b62138429f592a97e3bfc58f5fde5e488714e281 | <|skeleton|>
class GroverFpGeneration:
"""GroverFpGeneration class. It loads the pre-trained model and produce the fingerprints for input molecules."""
def __init__(self, args):
"""Init function. :param args: the arguments."""
<|body_0|>
def forward(self, batch, features_batch):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GroverFpGeneration:
"""GroverFpGeneration class. It loads the pre-trained model and produce the fingerprints for input molecules."""
def __init__(self, args):
"""Init function. :param args: the arguments."""
super(GroverFpGeneration, self).__init__()
self.fingerprint_source = args... | the_stack_v2_python_sparse | embeddings/grover/grover/model/models.py | theislab/chemCPA | train | 67 |
03696f2ef00cdf6bc3e1ef87e129dbbb5cb02939 | [
"self.asteroids = []\nfor _ in range(100):\n self.asteroids.append(Asteroid.generate_random_asteroid())",
"for _ in range(seconds):\n for asteroid in self.asteroids:\n asteroid.move()\n print(asteroid)\n sleep(1)"
] | <|body_start_0|>
self.asteroids = []
for _ in range(100):
self.asteroids.append(Asteroid.generate_random_asteroid())
<|end_body_0|>
<|body_start_1|>
for _ in range(seconds):
for asteroid in self.asteroids:
asteroid.move()
print(asteroid)
... | The driver class which drives the simulation. | Controller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Controller:
"""The driver class which drives the simulation."""
def __init__(self):
"""Initializes the controller by generating 100 random asteroids."""
<|body_0|>
def simulate(self, seconds: int) -> None:
"""Simulates asteroids moving in a 3D space in a number o... | stack_v2_sparse_classes_75kplus_train_071658 | 1,086 | no_license | [
{
"docstring": "Initializes the controller by generating 100 random asteroids.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Simulates asteroids moving in a 3D space in a number of seconds. :param seconds: an int, number of seconds to run the simulation :return: None... | 2 | stack_v2_sparse_classes_30k_val_002283 | Implement the Python class `Controller` described below.
Class description:
The driver class which drives the simulation.
Method signatures and docstrings:
- def __init__(self): Initializes the controller by generating 100 random asteroids.
- def simulate(self, seconds: int) -> None: Simulates asteroids moving in a 3... | Implement the Python class `Controller` described below.
Class description:
The driver class which drives the simulation.
Method signatures and docstrings:
- def __init__(self): Initializes the controller by generating 100 random asteroids.
- def simulate(self, seconds: int) -> None: Simulates asteroids moving in a 3... | e86956c69006f96221349fe9bd4925ad2255601e | <|skeleton|>
class Controller:
"""The driver class which drives the simulation."""
def __init__(self):
"""Initializes the controller by generating 100 random asteroids."""
<|body_0|>
def simulate(self, seconds: int) -> None:
"""Simulates asteroids moving in a 3D space in a number o... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Controller:
"""The driver class which drives the simulation."""
def __init__(self):
"""Initializes the controller by generating 100 random asteroids."""
self.asteroids = []
for _ in range(100):
self.asteroids.append(Asteroid.generate_random_asteroid())
def simulat... | the_stack_v2_python_sparse | lab-1-classy-asteroids-lizhiquan/lab1_driver.py | lizhiquan/learning-python | train | 0 |
140f38f1a7fbaa36beeccd12364e62b50a5eaee4 | [
"payload = jwt_payload_handler(obj)\ntoken = jwt_encode_handler(payload)\nreturn token",
"password = validated_data.pop('password', None)\ninstance = self.Meta.model(**validated_data)\nif password is not None:\n instance.set_password(password)\ninstance.save()\nreturn instance"
] | <|body_start_0|>
payload = jwt_payload_handler(obj)
token = jwt_encode_handler(payload)
return token
<|end_body_0|>
<|body_start_1|>
password = validated_data.pop('password', None)
instance = self.Meta.model(**validated_data)
if password is not None:
instance... | Serializer that represents a user registration. | UserSerializerWithToken | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSerializerWithToken:
"""Serializer that represents a user registration."""
def get_token(self, obj):
"""Generates JWT. :return: string"""
<|body_0|>
def create(self, validated_data):
"""Handles the creation of user. :params validated_data: dict :return: strin... | stack_v2_sparse_classes_75kplus_train_071659 | 7,864 | permissive | [
{
"docstring": "Generates JWT. :return: string",
"name": "get_token",
"signature": "def get_token(self, obj)"
},
{
"docstring": "Handles the creation of user. :params validated_data: dict :return: string",
"name": "create",
"signature": "def create(self, validated_data)"
}
] | 2 | null | Implement the Python class `UserSerializerWithToken` described below.
Class description:
Serializer that represents a user registration.
Method signatures and docstrings:
- def get_token(self, obj): Generates JWT. :return: string
- def create(self, validated_data): Handles the creation of user. :params validated_data... | Implement the Python class `UserSerializerWithToken` described below.
Class description:
Serializer that represents a user registration.
Method signatures and docstrings:
- def get_token(self, obj): Generates JWT. :return: string
- def create(self, validated_data): Handles the creation of user. :params validated_data... | 753ec3b5a38f4f5d15bd451400b0374f7ffcdfa6 | <|skeleton|>
class UserSerializerWithToken:
"""Serializer that represents a user registration."""
def get_token(self, obj):
"""Generates JWT. :return: string"""
<|body_0|>
def create(self, validated_data):
"""Handles the creation of user. :params validated_data: dict :return: strin... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserSerializerWithToken:
"""Serializer that represents a user registration."""
def get_token(self, obj):
"""Generates JWT. :return: string"""
payload = jwt_payload_handler(obj)
token = jwt_encode_handler(payload)
return token
def create(self, validated_data):
... | the_stack_v2_python_sparse | users/api/serializers.py | bangrobe/elmer | train | 0 |
395894b682ece2b60e052c6f592624dfa651517f | [
"super().__init__(min_neg=min_neg, batch_size_per_image=batch_size_per_image, positive_fraction=positive_fraction, pool_size=pool_size)\nself._batch_size_per_image = batch_size_per_image\nlogger.info('Sampling hard negatives on a per batch basis')",
"batch_size = len(target_labels)\nself.batch_size_per_image = se... | <|body_start_0|>
super().__init__(min_neg=min_neg, batch_size_per_image=batch_size_per_image, positive_fraction=positive_fraction, pool_size=pool_size)
self._batch_size_per_image = batch_size_per_image
logger.info('Sampling hard negatives on a per batch basis')
<|end_body_0|>
<|body_start_1|>
... | Samples negatives and positives on a per batch basis (default sampler only does this on a per image basis) Note: :attr:`batch_size_per_image` is manipulated to sample the correct number of samples per batch, use :attr:`_batch_size_per_image` to get the number of anchors per image | HardNegativeSamplerBatched | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HardNegativeSamplerBatched:
"""Samples negatives and positives on a per batch basis (default sampler only does this on a per image basis) Note: :attr:`batch_size_per_image` is manipulated to sample the correct number of samples per batch, use :attr:`_batch_size_per_image` to get the number of anc... | stack_v2_sparse_classes_75kplus_train_071660 | 13,985 | permissive | [
{
"docstring": "Args: batch_size_per_image (int): number of elements to be selected per image positive_fraction (float): percentage of positive elements per batch pool_size (float): hard negatives are sampled from a pool of size: batch_size_per_image * (1 - positive_fraction) * pool_size",
"name": "__init__... | 2 | stack_v2_sparse_classes_30k_train_026945 | Implement the Python class `HardNegativeSamplerBatched` described below.
Class description:
Samples negatives and positives on a per batch basis (default sampler only does this on a per image basis) Note: :attr:`batch_size_per_image` is manipulated to sample the correct number of samples per batch, use :attr:`_batch_s... | Implement the Python class `HardNegativeSamplerBatched` described below.
Class description:
Samples negatives and positives on a per batch basis (default sampler only does this on a per image basis) Note: :attr:`batch_size_per_image` is manipulated to sample the correct number of samples per batch, use :attr:`_batch_s... | 4f41faa7536dcef8fca7b647dcdca25360e5b58a | <|skeleton|>
class HardNegativeSamplerBatched:
"""Samples negatives and positives on a per batch basis (default sampler only does this on a per image basis) Note: :attr:`batch_size_per_image` is manipulated to sample the correct number of samples per batch, use :attr:`_batch_size_per_image` to get the number of anc... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HardNegativeSamplerBatched:
"""Samples negatives and positives on a per batch basis (default sampler only does this on a per image basis) Note: :attr:`batch_size_per_image` is manipulated to sample the correct number of samples per batch, use :attr:`_batch_size_per_image` to get the number of anchors per imag... | the_stack_v2_python_sparse | nndet/core/boxes/sampler.py | dboun/nnDetection | train | 1 |
fef0718cc414c04acfbe29ae1e5413ade5c204b6 | [
"self.val_flag_list = []\nself.vals = set([])\nself.val_to_index = {}",
"flag = False\nif val not in self.vals:\n flag = True\n self.vals.add(val)\n if self.val_to_index.get(val, -1) == -1:\n self.val_flag_list.append([val, 1])\n self.val_to_index[val] = len(self.val_flag_list) - 1\n els... | <|body_start_0|>
self.val_flag_list = []
self.vals = set([])
self.val_to_index = {}
<|end_body_0|>
<|body_start_1|>
flag = False
if val not in self.vals:
flag = True
self.vals.add(val)
if self.val_to_index.get(val, -1) == -1:
s... | RandomizedSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomizedSet:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, val: int) -> bool:
"""Inserts a value to the set. Returns true if the set did not already contain the specified element."""
<|body_1|>
def remove(se... | stack_v2_sparse_classes_75kplus_train_071661 | 1,663 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inserts a value to the set. Returns true if the set did not already contain the specified element.",
"name": "insert",
"signature": "def insert(self, val: int) ... | 4 | stack_v2_sparse_classes_30k_train_013621 | Implement the Python class `RandomizedSet` described below.
Class description:
Implement the RandomizedSet class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, val: int) -> bool: Inserts a value to the set. Returns true if the set did not already conta... | Implement the Python class `RandomizedSet` described below.
Class description:
Implement the RandomizedSet class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, val: int) -> bool: Inserts a value to the set. Returns true if the set did not already conta... | e4ceb275a6c9a56999289751f13e74548d9cd185 | <|skeleton|>
class RandomizedSet:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, val: int) -> bool:
"""Inserts a value to the set. Returns true if the set did not already contain the specified element."""
<|body_1|>
def remove(se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomizedSet:
def __init__(self):
"""Initialize your data structure here."""
self.val_flag_list = []
self.vals = set([])
self.val_to_index = {}
def insert(self, val: int) -> bool:
"""Inserts a value to the set. Returns true if the set did not already contain the s... | the_stack_v2_python_sparse | 380. Insert Delete GetRandom O(1).py | mh-rahman/Programming-Practice | train | 3 | |
fe0d5bdea9e7abdf781783893fd99c1acef4ac1d | [
"super(StochFCDecoder, self).__init__()\nself.num_layers = len(dec_layer_size)\nself.dec_layer_size = dec_layer_size\nself.pixel_max = pixel_max\nself.pixel_min = pixel_min\nfor layer in range(self.num_layers - 1):\n self.__setattr__('linear' + str(layer + 1), nn.Linear(self.dec_layer_size[layer], self.dec_layer... | <|body_start_0|>
super(StochFCDecoder, self).__init__()
self.num_layers = len(dec_layer_size)
self.dec_layer_size = dec_layer_size
self.pixel_max = pixel_max
self.pixel_min = pixel_min
for layer in range(self.num_layers - 1):
self.__setattr__('linear' + str(la... | StochFCDecoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StochFCDecoder:
def __init__(self, dec_layer_size, pixel_min, pixel_max):
"""Input Args: dec_size: Number of units in each layer of the decoder"""
<|body_0|>
def forward(self, input, noise, target_size):
"""target_size will have dim 0 as batch_size output should be s... | stack_v2_sparse_classes_75kplus_train_071662 | 10,873 | no_license | [
{
"docstring": "Input Args: dec_size: Number of units in each layer of the decoder",
"name": "__init__",
"signature": "def __init__(self, dec_layer_size, pixel_min, pixel_max)"
},
{
"docstring": "target_size will have dim 0 as batch_size output should be such that dim 1 is num_samples and all ot... | 2 | stack_v2_sparse_classes_30k_val_000837 | Implement the Python class `StochFCDecoder` described below.
Class description:
Implement the StochFCDecoder class.
Method signatures and docstrings:
- def __init__(self, dec_layer_size, pixel_min, pixel_max): Input Args: dec_size: Number of units in each layer of the decoder
- def forward(self, input, noise, target_... | Implement the Python class `StochFCDecoder` described below.
Class description:
Implement the StochFCDecoder class.
Method signatures and docstrings:
- def __init__(self, dec_layer_size, pixel_min, pixel_max): Input Args: dec_size: Number of units in each layer of the decoder
- def forward(self, input, noise, target_... | ca6f291761d7559b957575c030f06ca6ae0017d2 | <|skeleton|>
class StochFCDecoder:
def __init__(self, dec_layer_size, pixel_min, pixel_max):
"""Input Args: dec_size: Number of units in each layer of the decoder"""
<|body_0|>
def forward(self, input, noise, target_size):
"""target_size will have dim 0 as batch_size output should be s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StochFCDecoder:
def __init__(self, dec_layer_size, pixel_min, pixel_max):
"""Input Args: dec_size: Number of units in each layer of the decoder"""
super(StochFCDecoder, self).__init__()
self.num_layers = len(dec_layer_size)
self.dec_layer_size = dec_layer_size
self.pixe... | the_stack_v2_python_sparse | prednet/stochastic/models/models.py | yaminibansal/pytorchprednet | train | 0 | |
dd9c3742066dce31de503978e5a2fc9637cdbbc7 | [
"parts = Unmarshaller._unmarshal_parts(pkg_reader, package, part_factory)\nUnmarshaller._unmarshal_relationships(pkg_reader, package, parts)\nfor part in parts.values():\n part.after_unmarshal()\npackage.after_unmarshal()",
"parts = {}\nfor partname, content_type, reltype, blob in pkg_reader.iter_sparts():\n ... | <|body_start_0|>
parts = Unmarshaller._unmarshal_parts(pkg_reader, package, part_factory)
Unmarshaller._unmarshal_relationships(pkg_reader, package, parts)
for part in parts.values():
part.after_unmarshal()
package.after_unmarshal()
<|end_body_0|>
<|body_start_1|>
pa... | Hosts static methods for unmarshalling a package from a |PackageReader| instance. | Unmarshaller | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Unmarshaller:
"""Hosts static methods for unmarshalling a package from a |PackageReader| instance."""
def unmarshal(pkg_reader, package, part_factory):
"""Construct graph of parts and realized relationships based on the contents of *pkg_reader*, delegating construction of each part t... | stack_v2_sparse_classes_75kplus_train_071663 | 7,801 | permissive | [
{
"docstring": "Construct graph of parts and realized relationships based on the contents of *pkg_reader*, delegating construction of each part to *part_factory*. Package relationships are added to *pkg*.",
"name": "unmarshal",
"signature": "def unmarshal(pkg_reader, package, part_factory)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_027941 | Implement the Python class `Unmarshaller` described below.
Class description:
Hosts static methods for unmarshalling a package from a |PackageReader| instance.
Method signatures and docstrings:
- def unmarshal(pkg_reader, package, part_factory): Construct graph of parts and realized relationships based on the content... | Implement the Python class `Unmarshaller` described below.
Class description:
Hosts static methods for unmarshalling a package from a |PackageReader| instance.
Method signatures and docstrings:
- def unmarshal(pkg_reader, package, part_factory): Construct graph of parts and realized relationships based on the content... | cabf6e4f1970dc14302f87414f170de19944bac2 | <|skeleton|>
class Unmarshaller:
"""Hosts static methods for unmarshalling a package from a |PackageReader| instance."""
def unmarshal(pkg_reader, package, part_factory):
"""Construct graph of parts and realized relationships based on the contents of *pkg_reader*, delegating construction of each part t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Unmarshaller:
"""Hosts static methods for unmarshalling a package from a |PackageReader| instance."""
def unmarshal(pkg_reader, package, part_factory):
"""Construct graph of parts and realized relationships based on the contents of *pkg_reader*, delegating construction of each part to *part_facto... | the_stack_v2_python_sparse | Pdf_docx_pptx_xlsx_epub_png/source/docx/opc/package.py | ryfeus/lambda-packs | train | 1,283 |
0b6b9fe093eda8c6aa22e7ba4f8f9f0fac416e14 | [
"self.cluster_id = cluster_id\nself.cluster_incarnation_id = cluster_incarnation_id\nself.document_ids = document_ids\nself.entity_id = entity_id\nself.job_id = job_id\nself.job_instance_ids = job_instance_ids\nself.tag_ids = tag_ids\nself.tags = tags",
"if dictionary is None:\n return None\ncluster_id = dicti... | <|body_start_0|>
self.cluster_id = cluster_id
self.cluster_incarnation_id = cluster_incarnation_id
self.document_ids = document_ids
self.entity_id = entity_id
self.job_id = job_id
self.job_instance_ids = job_instance_ids
self.tag_ids = tag_ids
self.tags = ... | Implementation of the 'TagsOperationParameters' model. TODO: type description here. Attributes: cluster_id (long|int): ClusterId is the Id of the cluster used for constructing JobUid. cluster_incarnation_id (long|int): ClusterIncarnationId is the incarnation Id of the cluster used for constructing JobUid. document_ids ... | TagsOperationParameters | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TagsOperationParameters:
"""Implementation of the 'TagsOperationParameters' model. TODO: type description here. Attributes: cluster_id (long|int): ClusterId is the Id of the cluster used for constructing JobUid. cluster_incarnation_id (long|int): ClusterIncarnationId is the incarnation Id of the ... | stack_v2_sparse_classes_75kplus_train_071664 | 3,511 | permissive | [
{
"docstring": "Constructor for the TagsOperationParameters class",
"name": "__init__",
"signature": "def __init__(self, cluster_id=None, cluster_incarnation_id=None, document_ids=None, entity_id=None, job_id=None, job_instance_ids=None, tag_ids=None, tags=None)"
},
{
"docstring": "Creates an in... | 2 | stack_v2_sparse_classes_30k_train_027627 | Implement the Python class `TagsOperationParameters` described below.
Class description:
Implementation of the 'TagsOperationParameters' model. TODO: type description here. Attributes: cluster_id (long|int): ClusterId is the Id of the cluster used for constructing JobUid. cluster_incarnation_id (long|int): ClusterInca... | Implement the Python class `TagsOperationParameters` described below.
Class description:
Implementation of the 'TagsOperationParameters' model. TODO: type description here. Attributes: cluster_id (long|int): ClusterId is the Id of the cluster used for constructing JobUid. cluster_incarnation_id (long|int): ClusterInca... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class TagsOperationParameters:
"""Implementation of the 'TagsOperationParameters' model. TODO: type description here. Attributes: cluster_id (long|int): ClusterId is the Id of the cluster used for constructing JobUid. cluster_incarnation_id (long|int): ClusterIncarnationId is the incarnation Id of the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TagsOperationParameters:
"""Implementation of the 'TagsOperationParameters' model. TODO: type description here. Attributes: cluster_id (long|int): ClusterId is the Id of the cluster used for constructing JobUid. cluster_incarnation_id (long|int): ClusterIncarnationId is the incarnation Id of the cluster used ... | the_stack_v2_python_sparse | cohesity_management_sdk/models/tags_operation_parameters.py | cohesity/management-sdk-python | train | 24 |
40e2651d98b08d59fadd5d303eb811d3ac6cb7c7 | [
"gap = 0\nsibling = node + 1\nwhile node <= n:\n gap += min(n + 1, sibling) - node\n node *= 10\n sibling *= 10\nreturn gap",
"node = 1\nsteps = 1\nwhile steps < k:\n gap = self.getGap(n, node)\n if steps + gap <= k:\n node += 1\n steps += gap\n else:\n node *= 10\n s... | <|body_start_0|>
gap = 0
sibling = node + 1
while node <= n:
gap += min(n + 1, sibling) - node
node *= 10
sibling *= 10
return gap
<|end_body_0|>
<|body_start_1|>
node = 1
steps = 1
while steps < k:
gap = self.getGa... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getGap(self, n: int, node: int) -> int:
"""Compute how many nodes between node and its next sibling"""
<|body_0|>
def findKthNumber(self, n: int, k: int) -> int:
"""Similar to 386. Lexicographical Numbers This is essentially preorder traversal on 10-ary... | stack_v2_sparse_classes_75kplus_train_071665 | 1,647 | no_license | [
{
"docstring": "Compute how many nodes between node and its next sibling",
"name": "getGap",
"signature": "def getGap(self, n: int, node: int) -> int"
},
{
"docstring": "Similar to 386. Lexicographical Numbers This is essentially preorder traversal on 10-ary tree",
"name": "findKthNumber",
... | 2 | stack_v2_sparse_classes_30k_train_008581 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getGap(self, n: int, node: int) -> int: Compute how many nodes between node and its next sibling
- def findKthNumber(self, n: int, k: int) -> int: Similar to 386. Lexicograph... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getGap(self, n: int, node: int) -> int: Compute how many nodes between node and its next sibling
- def findKthNumber(self, n: int, k: int) -> int: Similar to 386. Lexicograph... | ad2f5bd0aec3d2c2c77b7c18627c1dd8fe8c0653 | <|skeleton|>
class Solution:
def getGap(self, n: int, node: int) -> int:
"""Compute how many nodes between node and its next sibling"""
<|body_0|>
def findKthNumber(self, n: int, k: int) -> int:
"""Similar to 386. Lexicographical Numbers This is essentially preorder traversal on 10-ary... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getGap(self, n: int, node: int) -> int:
"""Compute how many nodes between node and its next sibling"""
gap = 0
sibling = node + 1
while node <= n:
gap += min(n + 1, sibling) - node
node *= 10
sibling *= 10
return gap
... | the_stack_v2_python_sparse | 440 K-th Smallest in Lexicographical Order.py | jz33/LeetCodeSolutions | train | 8 | |
d069a3ccf993a139041e63561c54ec697db63e86 | [
"dummy = ListNode(0)\ndummy.next = head\nprev = dummy\nwhile prev:\n prev = self.reverseKNodes(prev, k)\nreturn dummy.next",
"node_k = prev\nfor i in range(k):\n if node_k is None:\n return\n node_k = node_k.next\nif node_k is None:\n return\nnode_k_plus_one = node_k.next\nprev_curr = prev\ncur... | <|body_start_0|>
dummy = ListNode(0)
dummy.next = head
prev = dummy
while prev:
prev = self.reverseKNodes(prev, k)
return dummy.next
<|end_body_0|>
<|body_start_1|>
node_k = prev
for i in range(k):
if node_k is None:
return... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseKGroup(self, head, k):
""":type head: ListNode :type k: int :rtype: ListNode"""
<|body_0|>
def reverseKNodes(self, prev, k):
"""這裡專門只看 k 個點時 基本上就是普通的 reverse linked list 只是一次只反轉 k 個 prev -> (n1 -> n2 -> n3 -> ... -> nk) -> nk+1 會變成 prev -> (nk ->... | stack_v2_sparse_classes_75kplus_train_071666 | 3,808 | no_license | [
{
"docstring": ":type head: ListNode :type k: int :rtype: ListNode",
"name": "reverseKGroup",
"signature": "def reverseKGroup(self, head, k)"
},
{
"docstring": "這裡專門只看 k 個點時 基本上就是普通的 reverse linked list 只是一次只反轉 k 個 prev -> (n1 -> n2 -> n3 -> ... -> nk) -> nk+1 會變成 prev -> (nk -> nk-1 -> ... -> n... | 2 | stack_v2_sparse_classes_30k_train_000960 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseKGroup(self, head, k): :type head: ListNode :type k: int :rtype: ListNode
- def reverseKNodes(self, prev, k): 這裡專門只看 k 個點時 基本上就是普通的 reverse linked list 只是一次只反轉 k 個 pre... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseKGroup(self, head, k): :type head: ListNode :type k: int :rtype: ListNode
- def reverseKNodes(self, prev, k): 這裡專門只看 k 個點時 基本上就是普通的 reverse linked list 只是一次只反轉 k 個 pre... | 01ee75be4ec9bbb080f170cb747f3fc443eb4d55 | <|skeleton|>
class Solution:
def reverseKGroup(self, head, k):
""":type head: ListNode :type k: int :rtype: ListNode"""
<|body_0|>
def reverseKNodes(self, prev, k):
"""這裡專門只看 k 個點時 基本上就是普通的 reverse linked list 只是一次只反轉 k 個 prev -> (n1 -> n2 -> n3 -> ... -> nk) -> nk+1 會變成 prev -> (nk ->... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverseKGroup(self, head, k):
""":type head: ListNode :type k: int :rtype: ListNode"""
dummy = ListNode(0)
dummy.next = head
prev = dummy
while prev:
prev = self.reverseKNodes(prev, k)
return dummy.next
def reverseKNodes(self, prev... | the_stack_v2_python_sparse | python3/025_Reverse_Nodes_in_k-Group.py | ytatus94/Leetcode | train | 0 | |
a9e85d6d45aad138103d4343b93847a63de25530 | [
"self.serializer_class = LikeSerializer\nimage_id = self.kwargs.get('image_id')\nimage = get_object_or_404(Image, pk=image_id)\nqueryset_list = image.like_set.all()\nreturn queryset_list",
"self.permission_classes = [IsAuthenticated]\nself.serializer_class = CreateLikeSerializer\nimage_id = self.kwargs.get('image... | <|body_start_0|>
self.serializer_class = LikeSerializer
image_id = self.kwargs.get('image_id')
image = get_object_or_404(Image, pk=image_id)
queryset_list = image.like_set.all()
return queryset_list
<|end_body_0|>
<|body_start_1|>
self.permission_classes = [IsAuthenticat... | Класа која се користи за креирање лајка и за добављање листе свих лајкова репрезентованих у JSON формату | CreateGetLikesAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateGetLikesAPI:
"""Класа која се користи за креирање лајка и за добављање листе свих лајкова репрезентованих у JSON формату"""
def get_queryset(self, *args, **kwargs):
"""Метода помоћу које се добављају сви подаци :param args: :param kwargs: image_id :return: QuerySet"""
<... | stack_v2_sparse_classes_75kplus_train_071667 | 4,633 | no_license | [
{
"docstring": "Метода помоћу које се добављају сви подаци :param args: :param kwargs: image_id :return: QuerySet",
"name": "get_queryset",
"signature": "def get_queryset(self, *args, **kwargs)"
},
{
"docstring": "Метода помоћу које се врши креирање Окида се на HTTP POST метод :param request: us... | 2 | null | Implement the Python class `CreateGetLikesAPI` described below.
Class description:
Класа која се користи за креирање лајка и за добављање листе свих лајкова репрезентованих у JSON формату
Method signatures and docstrings:
- def get_queryset(self, *args, **kwargs): Метода помоћу које се добављају сви подаци :param arg... | Implement the Python class `CreateGetLikesAPI` described below.
Class description:
Класа која се користи за креирање лајка и за добављање листе свих лајкова репрезентованих у JSON формату
Method signatures and docstrings:
- def get_queryset(self, *args, **kwargs): Метода помоћу које се добављају сви подаци :param arg... | 9b49cdfdcfbbc911cec23ed30ded30f6c4042522 | <|skeleton|>
class CreateGetLikesAPI:
"""Класа која се користи за креирање лајка и за добављање листе свих лајкова репрезентованих у JSON формату"""
def get_queryset(self, *args, **kwargs):
"""Метода помоћу које се добављају сви подаци :param args: :param kwargs: image_id :return: QuerySet"""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreateGetLikesAPI:
"""Класа која се користи за креирање лајка и за добављање листе свих лајкова репрезентованих у JSON формату"""
def get_queryset(self, *args, **kwargs):
"""Метода помоћу које се добављају сви подаци :param args: :param kwargs: image_id :return: QuerySet"""
self.serialize... | the_stack_v2_python_sparse | src/likes/api/views.py | milosb793/django-gallery-api | train | 0 |
cf13bafedbe5516251060631769c8455c54ec7de | [
"self.port_min = port_min\nself.port_max = port_max\nself.logger = logging.getLogger('PortUtil')\nself.list_ports = []",
"rand = Random()\nnum = rand.randint(self.port_min, self.port_max)\nwhile num in self.list_ports:\n num = rand.randint(self.port_min, self.port_max)\nself.list_ports.append(num)\nreturn num"... | <|body_start_0|>
self.port_min = port_min
self.port_max = port_max
self.logger = logging.getLogger('PortUtil')
self.list_ports = []
<|end_body_0|>
<|body_start_1|>
rand = Random()
num = rand.randint(self.port_min, self.port_max)
while num in self.list_ports:
... | Base class to get the utility functions in your tests | PortUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PortUtil:
"""Base class to get the utility functions in your tests"""
def __init__(self, port_min=PORT_MIN, port_max=PORT_MAX):
"""Constructor 'port_min' and 'port_max' are the range of ports"""
<|body_0|>
def _get_random_port(self):
"""generates a random int bet... | stack_v2_sparse_classes_75kplus_train_071668 | 2,304 | no_license | [
{
"docstring": "Constructor 'port_min' and 'port_max' are the range of ports",
"name": "__init__",
"signature": "def __init__(self, port_min=PORT_MIN, port_max=PORT_MAX)"
},
{
"docstring": "generates a random int between port_min and port_max. @rtype: integer @return: returns a random port betwe... | 3 | null | Implement the Python class `PortUtil` described below.
Class description:
Base class to get the utility functions in your tests
Method signatures and docstrings:
- def __init__(self, port_min=PORT_MIN, port_max=PORT_MAX): Constructor 'port_min' and 'port_max' are the range of ports
- def _get_random_port(self): gener... | Implement the Python class `PortUtil` described below.
Class description:
Base class to get the utility functions in your tests
Method signatures and docstrings:
- def __init__(self, port_min=PORT_MIN, port_max=PORT_MAX): Constructor 'port_min' and 'port_max' are the range of ports
- def _get_random_port(self): gener... | 1eaf2243449009cb83e0e25647f4d64cf0aa456f | <|skeleton|>
class PortUtil:
"""Base class to get the utility functions in your tests"""
def __init__(self, port_min=PORT_MIN, port_max=PORT_MAX):
"""Constructor 'port_min' and 'port_max' are the range of ports"""
<|body_0|>
def _get_random_port(self):
"""generates a random int bet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PortUtil:
"""Base class to get the utility functions in your tests"""
def __init__(self, port_min=PORT_MIN, port_max=PORT_MAX):
"""Constructor 'port_min' and 'port_max' are the range of ports"""
self.port_min = port_min
self.port_max = port_max
self.logger = logging.getLog... | the_stack_v2_python_sparse | lib/sumotest/util/utilities.py | breakaway83/sumo-pytest | train | 0 |
7b4371a41be00fc86b862d5445b703d32fdd3783 | [
"self.searchterm = searchterm.lower()\nself.textkey = textkey\ntextsonly = (e['_source'].get(self.textkey, '') for e in documents)\nvectorizer.fit(textsonly)\nself.df1 = pd.DataFrame(columns=['Type', 'Publication Date', 'Tf-idf'])\nfor e in documents:\n X = vectorizer.transform([e['_source'].get(self.textkey, ''... | <|body_start_0|>
self.searchterm = searchterm.lower()
self.textkey = textkey
textsonly = (e['_source'].get(self.textkey, '') for e in documents)
vectorizer.fit(textsonly)
self.df1 = pd.DataFrame(columns=['Type', 'Publication Date', 'Tf-idf'])
for e in documents:
... | hype_tfidf | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class hype_tfidf:
def fit(self, documents, searchterm, textkey):
"""Calculates Tf-idf score for each document and creates a dataframe Note: does not work with documents obtained through a generator (generators have no len) Parameters ---- documents: News articles stored as dicts in the Inca da... | stack_v2_sparse_classes_75kplus_train_071669 | 7,812 | no_license | [
{
"docstring": "Calculates Tf-idf score for each document and creates a dataframe Note: does not work with documents obtained through a generator (generators have no len) Parameters ---- documents: News articles stored as dicts in the Inca database searchterm: string Word or words (phrase) used to calculate the... | 2 | stack_v2_sparse_classes_30k_train_021940 | Implement the Python class `hype_tfidf` described below.
Class description:
Implement the hype_tfidf class.
Method signatures and docstrings:
- def fit(self, documents, searchterm, textkey): Calculates Tf-idf score for each document and creates a dataframe Note: does not work with documents obtained through a generat... | Implement the Python class `hype_tfidf` described below.
Class description:
Implement the hype_tfidf class.
Method signatures and docstrings:
- def fit(self, documents, searchterm, textkey): Calculates Tf-idf score for each document and creates a dataframe Note: does not work with documents obtained through a generat... | b3532ca47d59013fe88731ee0a5fe95b6e8e40f1 | <|skeleton|>
class hype_tfidf:
def fit(self, documents, searchterm, textkey):
"""Calculates Tf-idf score for each document and creates a dataframe Note: does not work with documents obtained through a generator (generators have no len) Parameters ---- documents: News articles stored as dicts in the Inca da... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class hype_tfidf:
def fit(self, documents, searchterm, textkey):
"""Calculates Tf-idf score for each document and creates a dataframe Note: does not work with documents obtained through a generator (generators have no len) Parameters ---- documents: News articles stored as dicts in the Inca database searcht... | the_stack_v2_python_sparse | inca/analysis/hype_analysis.py | uvacw/inca | train | 23 | |
d3eff8dc0a267d363f7759037a727c4b04dc7553 | [
"n = []\nwhile head != None:\n n.append(head.val)\n head = head.next\nreturn self.sortedArrayToBST(n)",
"k = len(nums)\nif k == 0:\n return None\nif k == 1:\n return TreeNode(nums[0])\nq = k / 2\nNode = TreeNode(nums[q])\nif q == 0:\n Node.left = None\nelse:\n Node.left = self.sortedArrayToBST(n... | <|body_start_0|>
n = []
while head != None:
n.append(head.val)
head = head.next
return self.sortedArrayToBST(n)
<|end_body_0|>
<|body_start_1|>
k = len(nums)
if k == 0:
return None
if k == 1:
return TreeNode(nums[0])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortedListToBST(self, head):
""":type head: ListNode :rtype: TreeNode"""
<|body_0|>
def sortedArrayToBST(self, nums):
""":type nums: List[int] :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = []
while head !... | stack_v2_sparse_classes_75kplus_train_071670 | 1,041 | no_license | [
{
"docstring": ":type head: ListNode :rtype: TreeNode",
"name": "sortedListToBST",
"signature": "def sortedListToBST(self, head)"
},
{
"docstring": ":type nums: List[int] :rtype: TreeNode",
"name": "sortedArrayToBST",
"signature": "def sortedArrayToBST(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012577 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortedListToBST(self, head): :type head: ListNode :rtype: TreeNode
- def sortedArrayToBST(self, nums): :type nums: List[int] :rtype: TreeNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortedListToBST(self, head): :type head: ListNode :rtype: TreeNode
- def sortedArrayToBST(self, nums): :type nums: List[int] :rtype: TreeNode
<|skeleton|>
class Solution:
... | 16422c3297ff5911a3721dcf1a5b50d09187fbc5 | <|skeleton|>
class Solution:
def sortedListToBST(self, head):
""":type head: ListNode :rtype: TreeNode"""
<|body_0|>
def sortedArrayToBST(self, nums):
""":type nums: List[int] :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def sortedListToBST(self, head):
""":type head: ListNode :rtype: TreeNode"""
n = []
while head != None:
n.append(head.val)
head = head.next
return self.sortedArrayToBST(n)
def sortedArrayToBST(self, nums):
""":type nums: List[int] ... | the_stack_v2_python_sparse | 109.py | Robert-MYM/LeetCode620 | train | 0 | |
3a506072f1516227912b3d85df11c1590b4abed5 | [
"self._reactor = reactor\nself._getThreadPool = reactor.getThreadPool if getThreadPool is None else getThreadPool\nself._getaddrinfo = getaddrinfo",
"pool = self._getThreadPool()\naddressFamily = _typesToAF[_any if addressTypes is None else frozenset(addressTypes)]\nsocketType = _transportToSocket[transportSemant... | <|body_start_0|>
self._reactor = reactor
self._getThreadPool = reactor.getThreadPool if getThreadPool is None else getThreadPool
self._getaddrinfo = getaddrinfo
<|end_body_0|>
<|body_start_1|>
pool = self._getThreadPool()
addressFamily = _typesToAF[_any if addressTypes is None e... | L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread. | GAIResolver | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GAIResolver:
"""L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread."""
def __init__(self, reactor, getThreadPool=None, getaddrinfo=getaddrinfo):
"""Create a L{GAIResolver}. @param reactor: the reactor to schedule result-delivery on @type... | stack_v2_sparse_classes_75kplus_train_071671 | 8,465 | permissive | [
{
"docstring": "Create a L{GAIResolver}. @param reactor: the reactor to schedule result-delivery on @type reactor: L{IReactorThreads} @param getThreadPool: a function to retrieve the thread pool to use for scheduling name resolutions. If not supplied, the use the given C{reactor}'s thread pool. @type getThreadP... | 2 | stack_v2_sparse_classes_30k_train_010793 | Implement the Python class `GAIResolver` described below.
Class description:
L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread.
Method signatures and docstrings:
- def __init__(self, reactor, getThreadPool=None, getaddrinfo=getaddrinfo): Create a L{GAIResolver}. @param ... | Implement the Python class `GAIResolver` described below.
Class description:
L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread.
Method signatures and docstrings:
- def __init__(self, reactor, getThreadPool=None, getaddrinfo=getaddrinfo): Create a L{GAIResolver}. @param ... | 5cee0a8c4180a3108538b4e4ce945a18726595a6 | <|skeleton|>
class GAIResolver:
"""L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread."""
def __init__(self, reactor, getThreadPool=None, getaddrinfo=getaddrinfo):
"""Create a L{GAIResolver}. @param reactor: the reactor to schedule result-delivery on @type... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GAIResolver:
"""L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread."""
def __init__(self, reactor, getThreadPool=None, getaddrinfo=getaddrinfo):
"""Create a L{GAIResolver}. @param reactor: the reactor to schedule result-delivery on @type reactor: L{I... | the_stack_v2_python_sparse | venv/Lib/site-packages/twisted/internet/_resolver.py | zoelesv/Smathchat | train | 9 |
18feff12de5d7d40baaf70194e01a8fbae38a072 | [
"cleaned_data = super(DescriptorAdmin, self).clean(*args, **kwargs)\nif self.instance.pk and self.instance.calculatorSoftware != 'manual':\n raise ValidationError('This descriptor is not a manual descriptor, and thus cannot be edited using the django admin', 'not_manual')\nreturn cleaned_data",
"descriptor = s... | <|body_start_0|>
cleaned_data = super(DescriptorAdmin, self).clean(*args, **kwargs)
if self.instance.pk and self.instance.calculatorSoftware != 'manual':
raise ValidationError('This descriptor is not a manual descriptor, and thus cannot be edited using the django admin', 'not_manual')
... | A mixin for behaviours common to all descriptor admin forms. | DescriptorAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DescriptorAdmin:
"""A mixin for behaviours common to all descriptor admin forms."""
def clean(self, *args, **kwargs):
"""Method is purely desingned to stop the overwriting of plugin descriptors."""
<|body_0|>
def save(self, commit=True, *args, **kwargs):
"""Save ... | stack_v2_sparse_classes_75kplus_train_071672 | 3,231 | no_license | [
{
"docstring": "Method is purely desingned to stop the overwriting of plugin descriptors.",
"name": "clean",
"signature": "def clean(self, *args, **kwargs)"
},
{
"docstring": "Save the new descriptor, forcing it to be manual.",
"name": "save",
"signature": "def save(self, commit=True, *a... | 2 | null | Implement the Python class `DescriptorAdmin` described below.
Class description:
A mixin for behaviours common to all descriptor admin forms.
Method signatures and docstrings:
- def clean(self, *args, **kwargs): Method is purely desingned to stop the overwriting of plugin descriptors.
- def save(self, commit=True, *a... | Implement the Python class `DescriptorAdmin` described below.
Class description:
A mixin for behaviours common to all descriptor admin forms.
Method signatures and docstrings:
- def clean(self, *args, **kwargs): Method is purely desingned to stop the overwriting of plugin descriptors.
- def save(self, commit=True, *a... | eae2009eadf87ffd2378233f3e153d385f4654d2 | <|skeleton|>
class DescriptorAdmin:
"""A mixin for behaviours common to all descriptor admin forms."""
def clean(self, *args, **kwargs):
"""Method is purely desingned to stop the overwriting of plugin descriptors."""
<|body_0|>
def save(self, commit=True, *args, **kwargs):
"""Save ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DescriptorAdmin:
"""A mixin for behaviours common to all descriptor admin forms."""
def clean(self, *args, **kwargs):
"""Method is purely desingned to stop the overwriting of plugin descriptors."""
cleaned_data = super(DescriptorAdmin, self).clean(*args, **kwargs)
if self.instance... | the_stack_v2_python_sparse | DRP/forms/descriptor.py | zhaojhao/DRP | train | 0 |
565556e3aa2d5aa33593ebf13e18d8a2043670b4 | [
"data = tfds.load('ted_hrlr_translate/pt_to_en', as_supervised=True)\nself.data_train = data['train']\nself.data_valid = data['validation']\ntokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)\nself.tokenizer_pt = tokenizer_pt\nself.tokenizer_en = tokenizer_en",
"encoder = tfds.deprecated.text.Sub... | <|body_start_0|>
data = tfds.load('ted_hrlr_translate/pt_to_en', as_supervised=True)
self.data_train = data['train']
self.data_valid = data['validation']
tokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)
self.tokenizer_pt = tokenizer_pt
self.tokenizer_en... | Class to load an prepare a dataset for machine translation | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""Class to load an prepare a dataset for machine translation"""
def __init__(self):
"""Init"""
<|body_0|>
def tokenize_dataset(self, data):
"""Creates sub-word tokenizers for a dataset data: tf.data.Dataset whose examples are formatted as a table (pt, e... | stack_v2_sparse_classes_75kplus_train_071673 | 1,427 | no_license | [
{
"docstring": "Init",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Creates sub-word tokenizers for a dataset data: tf.data.Dataset whose examples are formatted as a table (pt, en) pt: tf.Tensor containing the Portuguese sentence en: tf.Tensor containing the English s... | 2 | stack_v2_sparse_classes_30k_train_041984 | Implement the Python class `Dataset` described below.
Class description:
Class to load an prepare a dataset for machine translation
Method signatures and docstrings:
- def __init__(self): Init
- def tokenize_dataset(self, data): Creates sub-word tokenizers for a dataset data: tf.data.Dataset whose examples are format... | Implement the Python class `Dataset` described below.
Class description:
Class to load an prepare a dataset for machine translation
Method signatures and docstrings:
- def __init__(self): Init
- def tokenize_dataset(self, data): Creates sub-word tokenizers for a dataset data: tf.data.Dataset whose examples are format... | 2757c8526290197d45a4de33cda71e686ddcbf1c | <|skeleton|>
class Dataset:
"""Class to load an prepare a dataset for machine translation"""
def __init__(self):
"""Init"""
<|body_0|>
def tokenize_dataset(self, data):
"""Creates sub-word tokenizers for a dataset data: tf.data.Dataset whose examples are formatted as a table (pt, e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dataset:
"""Class to load an prepare a dataset for machine translation"""
def __init__(self):
"""Init"""
data = tfds.load('ted_hrlr_translate/pt_to_en', as_supervised=True)
self.data_train = data['train']
self.data_valid = data['validation']
tokenizer_pt, tokenizer... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/0-dataset.py | 95ktsmith/holbertonschool-machine_learning | train | 0 |
9082c4db34b78862d8fe310fdc52ab21b705f106 | [
"super().__init__(*args, **kwargs)\nif log_level is not None:\n self.log_level = log_level\nelse:\n self.log_level = logging.INFO\nself.log = self.setup_logger()",
"formatter = ColoredFormatter('%(log_color)s[%(asctime)s.%(msecs)03d][%(levelname)-8s] %(name)-20s: %(reset)s%(white)s%(message)s', datefmt='%d-... | <|body_start_0|>
super().__init__(*args, **kwargs)
if log_level is not None:
self.log_level = log_level
else:
self.log_level = logging.INFO
self.log = self.setup_logger()
<|end_body_0|>
<|body_start_1|>
formatter = ColoredFormatter('%(log_color)s[%(asctim... | Log class | Logger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logger:
"""Log class"""
def __init__(self, *args, log_level=None, **kwargs):
"""Initialisation method"""
<|body_0|>
def setup_logger(self):
"""Return a logger with a default ColoredFormatter."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super... | stack_v2_sparse_classes_75kplus_train_071674 | 1,672 | permissive | [
{
"docstring": "Initialisation method",
"name": "__init__",
"signature": "def __init__(self, *args, log_level=None, **kwargs)"
},
{
"docstring": "Return a logger with a default ColoredFormatter.",
"name": "setup_logger",
"signature": "def setup_logger(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_025232 | Implement the Python class `Logger` described below.
Class description:
Log class
Method signatures and docstrings:
- def __init__(self, *args, log_level=None, **kwargs): Initialisation method
- def setup_logger(self): Return a logger with a default ColoredFormatter. | Implement the Python class `Logger` described below.
Class description:
Log class
Method signatures and docstrings:
- def __init__(self, *args, log_level=None, **kwargs): Initialisation method
- def setup_logger(self): Return a logger with a default ColoredFormatter.
<|skeleton|>
class Logger:
"""Log class"""
... | 836498b210d2f921e76292df8046cd79006b458a | <|skeleton|>
class Logger:
"""Log class"""
def __init__(self, *args, log_level=None, **kwargs):
"""Initialisation method"""
<|body_0|>
def setup_logger(self):
"""Return a logger with a default ColoredFormatter."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Logger:
"""Log class"""
def __init__(self, *args, log_level=None, **kwargs):
"""Initialisation method"""
super().__init__(*args, **kwargs)
if log_level is not None:
self.log_level = log_level
else:
self.log_level = logging.INFO
self.log = se... | the_stack_v2_python_sparse | src/pyndf/logbook.py | Guillaume-Guardia/ndf-python | train | 0 |
fdc8df03e965bad1ff26c194c2a80215b025f00c | [
"kwargs.setdefault('environment', {})\nkwargs.setdefault('id', uuid.uuid4())\nkwargs['environment']['RENGA_CONTEXT_ID'] = str(context.id)\nexecution = cls(context=context, **kwargs)\nreturn execution",
"if isinstance(states, ExecutionStates):\n states = {states}\nif not isinstance(states, set):\n states = s... | <|body_start_0|>
kwargs.setdefault('environment', {})
kwargs.setdefault('id', uuid.uuid4())
kwargs['environment']['RENGA_CONTEXT_ID'] = str(context.id)
execution = cls(context=context, **kwargs)
return execution
<|end_body_0|>
<|body_start_1|>
if isinstance(states, Execu... | Represent an execution of a context. Additionally it contains two columns ``created`` and ``updated`` with automatically managed timestamps. | Execution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Execution:
"""Represent an execution of a context. Additionally it contains two columns ``created`` and ``updated`` with automatically managed timestamps."""
def from_context(cls, context, **kwargs):
"""Create a new execution for a given context."""
<|body_0|>
def check_... | stack_v2_sparse_classes_75kplus_train_071675 | 4,144 | permissive | [
{
"docstring": "Create a new execution for a given context.",
"name": "from_context",
"signature": "def from_context(cls, context, **kwargs)"
},
{
"docstring": "Check whether the execution is in one of the specified states.",
"name": "check_state",
"signature": "def check_state(self, sta... | 2 | stack_v2_sparse_classes_30k_train_038854 | Implement the Python class `Execution` described below.
Class description:
Represent an execution of a context. Additionally it contains two columns ``created`` and ``updated`` with automatically managed timestamps.
Method signatures and docstrings:
- def from_context(cls, context, **kwargs): Create a new execution f... | Implement the Python class `Execution` described below.
Class description:
Represent an execution of a context. Additionally it contains two columns ``created`` and ``updated`` with automatically managed timestamps.
Method signatures and docstrings:
- def from_context(cls, context, **kwargs): Create a new execution f... | ee0fb451c0525cedd547ca96b8c950424a704874 | <|skeleton|>
class Execution:
"""Represent an execution of a context. Additionally it contains two columns ``created`` and ``updated`` with automatically managed timestamps."""
def from_context(cls, context, **kwargs):
"""Create a new execution for a given context."""
<|body_0|>
def check_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Execution:
"""Represent an execution of a context. Additionally it contains two columns ``created`` and ``updated`` with automatically managed timestamps."""
def from_context(cls, context, **kwargs):
"""Create a new execution for a given context."""
kwargs.setdefault('environment', {})
... | the_stack_v2_python_sparse | renga_deployer/models.py | SwissDataScienceCenter/renga-deployer | train | 1 |
4f7be8f18bc9f29a6f551b454cc733c0fe73aeb6 | [
"head = validated_data['header']\nload = validated_data['payload']\nlat = load.get('latitude', DEFAULT_DEC)\nlng = load.get('longitude', DEFAULT_DEC)\nfinal_data = {'messageID': head.get('messageID', DEFAULT_STR), 'sensorID': head.get('sensorID', DEFAULT_STR), 'macAddress': head.get('macAddress', DEFAULT_STR), 'nam... | <|body_start_0|>
head = validated_data['header']
load = validated_data['payload']
lat = load.get('latitude', DEFAULT_DEC)
lng = load.get('longitude', DEFAULT_DEC)
final_data = {'messageID': head.get('messageID', DEFAULT_STR), 'sensorID': head.get('sensorID', DEFAULT_STR), 'macAdd... | TrashCanSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrashCanSerializer:
def create(self, validated_data):
"""Create and return a new `TrashCan` instance, given the validated data."""
<|body_0|>
def update(self, instance, validated_data):
"""Update and return an existing `TrashCan` instance, given the validated data.""... | stack_v2_sparse_classes_75kplus_train_071676 | 2,605 | no_license | [
{
"docstring": "Create and return a new `TrashCan` instance, given the validated data.",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Update and return an existing `TrashCan` instance, given the validated data.",
"name": "update",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_005747 | Implement the Python class `TrashCanSerializer` described below.
Class description:
Implement the TrashCanSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): Create and return a new `TrashCan` instance, given the validated data.
- def update(self, instance, validated_data): Update ... | Implement the Python class `TrashCanSerializer` described below.
Class description:
Implement the TrashCanSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): Create and return a new `TrashCan` instance, given the validated data.
- def update(self, instance, validated_data): Update ... | fbe9e5573bef8baebfbc72e82ce4ac0a5a23ee0c | <|skeleton|>
class TrashCanSerializer:
def create(self, validated_data):
"""Create and return a new `TrashCan` instance, given the validated data."""
<|body_0|>
def update(self, instance, validated_data):
"""Update and return an existing `TrashCan` instance, given the validated data.""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TrashCanSerializer:
def create(self, validated_data):
"""Create and return a new `TrashCan` instance, given the validated data."""
head = validated_data['header']
load = validated_data['payload']
lat = load.get('latitude', DEFAULT_DEC)
lng = load.get('longitude', DEFAUL... | the_stack_v2_python_sparse | processing/serializers.py | MiDro/trashViz | train | 0 | |
93de3155ff88eea19d520f81876ce8459587683f | [
"n = len(nums)\nif n == 0:\n return 0\n\ndef g(m):\n window_sz = m\n total = sum(nums[:m])\n if total >= s:\n return True\n for i in range(1, n - window_sz + 1):\n total = total - nums[i - 1] + nums[i + window_sz - 1]\n if total >= s:\n return True\n return False\nl... | <|body_start_0|>
n = len(nums)
if n == 0:
return 0
def g(m):
window_sz = m
total = sum(nums[:m])
if total >= s:
return True
for i in range(1, n - window_sz + 1):
total = total - nums[i - 1] + nums[i + wi... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
"""Binary Search on Window Size, Time: O(nlogn), Space: O(1)"""
<|body_0|>
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
"""Sliding Window, Time: O(n), Space: O(1)"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_071677 | 1,801 | no_license | [
{
"docstring": "Binary Search on Window Size, Time: O(nlogn), Space: O(1)",
"name": "minSubArrayLen",
"signature": "def minSubArrayLen(self, s: int, nums: List[int]) -> int"
},
{
"docstring": "Sliding Window, Time: O(n), Space: O(1)",
"name": "minSubArrayLen",
"signature": "def minSubArr... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSubArrayLen(self, s: int, nums: List[int]) -> int: Binary Search on Window Size, Time: O(nlogn), Space: O(1)
- def minSubArrayLen(self, s: int, nums: List[int]) -> int: Sl... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSubArrayLen(self, s: int, nums: List[int]) -> int: Binary Search on Window Size, Time: O(nlogn), Space: O(1)
- def minSubArrayLen(self, s: int, nums: List[int]) -> int: Sl... | 72136e3487d239f5b37e2d6393e034262a6bf599 | <|skeleton|>
class Solution:
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
"""Binary Search on Window Size, Time: O(nlogn), Space: O(1)"""
<|body_0|>
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
"""Sliding Window, Time: O(n), Space: O(1)"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
"""Binary Search on Window Size, Time: O(nlogn), Space: O(1)"""
n = len(nums)
if n == 0:
return 0
def g(m):
window_sz = m
total = sum(nums[:m])
if total >= s:
... | the_stack_v2_python_sparse | python/209-Minimum Size Subarray Sum.py | cwza/leetcode | train | 0 | |
1a22ba5e6fcfa02a21d5f2862e9b24eec49b1aed | [
"m = len(s)\nresults = []\nself.dfs(m, [], 0, s, results)\nreturn results",
"if ptr == m:\n results.append(parts[:])\n return\nfor ptr2 in range(ptr + 1, m + 1):\n if self.palindrome(s, ptr, ptr2):\n print(ptr, ptr2, s[ptr:ptr2])\n parts.append(s[ptr:ptr2])\n self.dfs(m, parts, ptr2,... | <|body_start_0|>
m = len(s)
results = []
self.dfs(m, [], 0, s, results)
return results
<|end_body_0|>
<|body_start_1|>
if ptr == m:
results.append(parts[:])
return
for ptr2 in range(ptr + 1, m + 1):
if self.palindrome(s, ptr, ptr2):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def partition(self, s):
""":type s: str :rtype: List[List[str]]"""
<|body_0|>
def dfs(self, m, parts, ptr, s, results):
"""parts: list of substrings of s ptr: starting index for next palindrome"""
<|body_1|>
def palindrome(self, s, start, end):... | stack_v2_sparse_classes_75kplus_train_071678 | 1,254 | no_license | [
{
"docstring": ":type s: str :rtype: List[List[str]]",
"name": "partition",
"signature": "def partition(self, s)"
},
{
"docstring": "parts: list of substrings of s ptr: starting index for next palindrome",
"name": "dfs",
"signature": "def dfs(self, m, parts, ptr, s, results)"
},
{
... | 3 | stack_v2_sparse_classes_30k_test_000594 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def partition(self, s): :type s: str :rtype: List[List[str]]
- def dfs(self, m, parts, ptr, s, results): parts: list of substrings of s ptr: starting index for next palindrome
- ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def partition(self, s): :type s: str :rtype: List[List[str]]
- def dfs(self, m, parts, ptr, s, results): parts: list of substrings of s ptr: starting index for next palindrome
- ... | e00cf94c5b86c8cca27e3bee69ad21e727b7679b | <|skeleton|>
class Solution:
def partition(self, s):
""":type s: str :rtype: List[List[str]]"""
<|body_0|>
def dfs(self, m, parts, ptr, s, results):
"""parts: list of substrings of s ptr: starting index for next palindrome"""
<|body_1|>
def palindrome(self, s, start, end):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def partition(self, s):
""":type s: str :rtype: List[List[str]]"""
m = len(s)
results = []
self.dfs(m, [], 0, s, results)
return results
def dfs(self, m, parts, ptr, s, results):
"""parts: list of substrings of s ptr: starting index for next palin... | the_stack_v2_python_sparse | backtracking/prob131.py | binchen15/leet-python | train | 1 | |
879a2da3c2e64022ecd12cfb052768fb1eda012a | [
"kwargs = locals().copy()\nself._is_ray_client = ray.util.client.ray.is_connected()\nif _tuner_internal:\n if not self._is_ray_client:\n self._local_tuner = kwargs[_TUNER_INTERNAL]\n else:\n self._remote_tuner = kwargs[_TUNER_INTERNAL]\nelse:\n kwargs.pop(_TUNER_INTERNAL, None)\n kwargs.po... | <|body_start_0|>
kwargs = locals().copy()
self._is_ray_client = ray.util.client.ray.is_connected()
if _tuner_internal:
if not self._is_ray_client:
self._local_tuner = kwargs[_TUNER_INTERNAL]
else:
self._remote_tuner = kwargs[_TUNER_INTERNAL... | Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune. Args: trainable: The trainable to be tuned. param_space: Search space of the tuning job. One thing to note is that both preprocessor and dataset can be tuned here. tune_config: Tuning algorithm specific configs. Refer to ray.tune.tune_c... | Tuner | [
"BSD-3-Clause",
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tuner:
"""Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune. Args: trainable: The trainable to be tuned. param_space: Search space of the tuning job. One thing to note is that both preprocessor and dataset can be tuned here. tune_config: Tuning algorithm specific ... | stack_v2_sparse_classes_75kplus_train_071679 | 7,825 | permissive | [
{
"docstring": "Configure and construct a tune run.",
"name": "__init__",
"signature": "def __init__(self, trainable: Optional[Union[str, Callable, Type[Trainable], Trainer]]=None, param_space: Optional[Dict[str, Any]]=None, tune_config: Optional[TuneConfig]=None, run_config: Optional[RunConfig]=None, _... | 3 | null | Implement the Python class `Tuner` described below.
Class description:
Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune. Args: trainable: The trainable to be tuned. param_space: Search space of the tuning job. One thing to note is that both preprocessor and dataset can be tuned here. ... | Implement the Python class `Tuner` described below.
Class description:
Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune. Args: trainable: The trainable to be tuned. param_space: Search space of the tuning job. One thing to note is that both preprocessor and dataset can be tuned here. ... | 918d3601c6519d333f10910dc75eb549cbb82afa | <|skeleton|>
class Tuner:
"""Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune. Args: trainable: The trainable to be tuned. param_space: Search space of the tuning job. One thing to note is that both preprocessor and dataset can be tuned here. tune_config: Tuning algorithm specific ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Tuner:
"""Tuner is the recommended way of launching hyperparameter tuning jobs with Ray Tune. Args: trainable: The trainable to be tuned. param_space: Search space of the tuning job. One thing to note is that both preprocessor and dataset can be tuned here. tune_config: Tuning algorithm specific configs. Refe... | the_stack_v2_python_sparse | python/ray/tune/tuner.py | pdames/ray | train | 1 |
83d1a74a776e03ecc4f71603960235fbd8a9f7c0 | [
"self.ctx = TritonContext()\nself.ctx.setArchitecture(ARCH.X86_64)\ninst = Instruction()\ninst.setOpcode(b'd\\x8b\\x04%\\x98\\xdf\\xff\\xff')\ninst.setAddress(4194304)\nself.ctx.setConcreteRegisterValue(self.ctx.registers.fs, 140736859911936)\nself.ctx.processing(inst)\nself.assertTrue(inst.getLoadAccess())\nload, ... | <|body_start_0|>
self.ctx = TritonContext()
self.ctx.setArchitecture(ARCH.X86_64)
inst = Instruction()
inst.setOpcode(b'd\x8b\x04%\x98\xdf\xff\xff')
inst.setAddress(4194304)
self.ctx.setConcreteRegisterValue(self.ctx.registers.fs, 140736859911936)
self.ctx.process... | Testing the LOAD access semantics. | TestLoadAccess | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestLoadAccess:
"""Testing the LOAD access semantics."""
def test_load_immediate_fs(self):
"""Check load from fs segment with immediate."""
<|body_0|>
def test_load_indirect_fs(self):
"""Check load from fs with indirect address."""
<|body_1|>
def tes... | stack_v2_sparse_classes_75kplus_train_071680 | 14,500 | permissive | [
{
"docstring": "Check load from fs segment with immediate.",
"name": "test_load_immediate_fs",
"signature": "def test_load_immediate_fs(self)"
},
{
"docstring": "Check load from fs with indirect address.",
"name": "test_load_indirect_fs",
"signature": "def test_load_indirect_fs(self)"
... | 3 | null | Implement the Python class `TestLoadAccess` described below.
Class description:
Testing the LOAD access semantics.
Method signatures and docstrings:
- def test_load_immediate_fs(self): Check load from fs segment with immediate.
- def test_load_indirect_fs(self): Check load from fs with indirect address.
- def test_lo... | Implement the Python class `TestLoadAccess` described below.
Class description:
Testing the LOAD access semantics.
Method signatures and docstrings:
- def test_load_immediate_fs(self): Check load from fs segment with immediate.
- def test_load_indirect_fs(self): Check load from fs with indirect address.
- def test_lo... | a61651ce331ac53ec09e1d8fef5eab744e98c9de | <|skeleton|>
class TestLoadAccess:
"""Testing the LOAD access semantics."""
def test_load_immediate_fs(self):
"""Check load from fs segment with immediate."""
<|body_0|>
def test_load_indirect_fs(self):
"""Check load from fs with indirect address."""
<|body_1|>
def tes... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestLoadAccess:
"""Testing the LOAD access semantics."""
def test_load_immediate_fs(self):
"""Check load from fs segment with immediate."""
self.ctx = TritonContext()
self.ctx.setArchitecture(ARCH.X86_64)
inst = Instruction()
inst.setOpcode(b'd\x8b\x04%\x98\xdf\xff... | the_stack_v2_python_sparse | src/testers/unittests/test_instruction.py | JonathanSalwan/Triton | train | 3,163 |
a3e25659835662ba1fed59c182eb3e36f8a59f54 | [
"retrieved_alignments = alignment_records.read_all(filter={'collab_id': collab_id, 'project_id': project_id})\nif retrieved_alignments:\n success_payload = payload_formatter.construct_success_payload(status=200, method='alignments.get', params=request.view_args, data=retrieved_alignments)\n logging.info(f\"Co... | <|body_start_0|>
retrieved_alignments = alignment_records.read_all(filter={'collab_id': collab_id, 'project_id': project_id})
if retrieved_alignments:
success_payload = payload_formatter.construct_success_payload(status=200, method='alignments.get', params=request.view_args, data=retrieved_a... | Using registered data tags, poll for metadata from worker nodes for multiple feature alignment to be used subsequently for FL training. | Alignments | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Alignments:
"""Using registered data tags, poll for metadata from worker nodes for multiple feature alignment to be used subsequently for FL training."""
def get(self, collab_id, project_id):
"""Retrieves all alignments for all registered data under a project"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_071681 | 12,411 | permissive | [
{
"docstring": "Retrieves all alignments for all registered data under a project",
"name": "get",
"signature": "def get(self, collab_id, project_id)"
},
{
"docstring": "Searches for all registered participant under project, and uses their registered data tags to trigger the RPC for polling parti... | 2 | stack_v2_sparse_classes_30k_train_049146 | Implement the Python class `Alignments` described below.
Class description:
Using registered data tags, poll for metadata from worker nodes for multiple feature alignment to be used subsequently for FL training.
Method signatures and docstrings:
- def get(self, collab_id, project_id): Retrieves all alignments for all... | Implement the Python class `Alignments` described below.
Class description:
Using registered data tags, poll for metadata from worker nodes for multiple feature alignment to be used subsequently for FL training.
Method signatures and docstrings:
- def get(self, collab_id, project_id): Retrieves all alignments for all... | d7b45216e5d1854fe65213f06ae3f3bb6d99cab0 | <|skeleton|>
class Alignments:
"""Using registered data tags, poll for metadata from worker nodes for multiple feature alignment to be used subsequently for FL training."""
def get(self, collab_id, project_id):
"""Retrieves all alignments for all registered data under a project"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Alignments:
"""Using registered data tags, poll for metadata from worker nodes for multiple feature alignment to be used subsequently for FL training."""
def get(self, collab_id, project_id):
"""Retrieves all alignments for all registered data under a project"""
retrieved_alignments = ali... | the_stack_v2_python_sparse | rest_rpc/training/alignments.py | markchc101/synergos_rest | train | 0 |
7d4c7e388248769189a62cb934f9506a6d162cd7 | [
"key = AmazonS3.getSettingWithTag('key_secret')\ncanonicalData = OrderedDict()\nfor k in sorted(data.keys()):\n canonicalData[urllib.quote(k, '~')] = urllib.quote(data[k], '~')\ncanonicalString = '&'.join(('{0}={1}'.format(k, v) for k, v in canonicalData.iteritems()))\nplaintext = '{0}\\n{1}\\n{2}\\n{3}'.format(... | <|body_start_0|>
key = AmazonS3.getSettingWithTag('key_secret')
canonicalData = OrderedDict()
for k in sorted(data.keys()):
canonicalData[urllib.quote(k, '~')] = urllib.quote(data[k], '~')
canonicalString = '&'.join(('{0}={1}'.format(k, v) for k, v in canonicalData.iteritems(... | Helper method mix-in for Amazon Payments | AmazonFPS | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AmazonFPS:
"""Helper method mix-in for Amazon Payments"""
def generateSignature(self, httpVerb, host, uri, data):
"""Generate an Amazon FPS signature for an API request or button form. More information can be found at the following URL: http://docs.amazonwebservices.com/AmazonSimpleP... | stack_v2_sparse_classes_75kplus_train_071682 | 3,730 | no_license | [
{
"docstring": "Generate an Amazon FPS signature for an API request or button form. More information can be found at the following URL: http://docs.amazonwebservices.com/AmazonSimplePay/latest/ASPAdvancedUserGuide/Sig2CreateSignature.html",
"name": "generateSignature",
"signature": "def generateSignatur... | 2 | null | Implement the Python class `AmazonFPS` described below.
Class description:
Helper method mix-in for Amazon Payments
Method signatures and docstrings:
- def generateSignature(self, httpVerb, host, uri, data): Generate an Amazon FPS signature for an API request or button form. More information can be found at the follo... | Implement the Python class `AmazonFPS` described below.
Class description:
Helper method mix-in for Amazon Payments
Method signatures and docstrings:
- def generateSignature(self, httpVerb, host, uri, data): Generate an Amazon FPS signature for an API request or button form. More information can be found at the follo... | 7a26153aec9d5cea3b864869634a306f86933b59 | <|skeleton|>
class AmazonFPS:
"""Helper method mix-in for Amazon Payments"""
def generateSignature(self, httpVerb, host, uri, data):
"""Generate an Amazon FPS signature for an API request or button form. More information can be found at the following URL: http://docs.amazonwebservices.com/AmazonSimpleP... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AmazonFPS:
"""Helper method mix-in for Amazon Payments"""
def generateSignature(self, httpVerb, host, uri, data):
"""Generate an Amazon FPS signature for an API request or button form. More information can be found at the following URL: http://docs.amazonwebservices.com/AmazonSimplePay/latest/ASP... | the_stack_v2_python_sparse | controllers/amazonaws.py | wurkhappy/wurkhappy | train | 0 |
d51d5879cdd41d248855707242104df941ad7410 | [
"self.data_type = data_type\nself.start_date = start_date\nself.end_date = end_date\nself.interval = interval\nself.possible_intervals = ('1min', '5min', '15min', '30min', '60min')\nself.possible_data_types = ('daily', 'daily_adjusted', 'intraday', 'monthly', 'monthly_adjusted', 'weekly', 'weekly_adjusted')\nif int... | <|body_start_0|>
self.data_type = data_type
self.start_date = start_date
self.end_date = end_date
self.interval = interval
self.possible_intervals = ('1min', '5min', '15min', '30min', '60min')
self.possible_data_types = ('daily', 'daily_adjusted', 'intraday', 'monthly', '... | Data Fetcher for retrieving stock data | DataFetcher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataFetcher:
"""Data Fetcher for retrieving stock data"""
def __init__(self, ap_paramList, data_type, start_date=None, end_date=None, interval=None):
"""@param ap_paramList[stock_symbol_list]: AutoList of stock symbols @param data_type: Type of data to retrieve (daily, daily_adjusted... | stack_v2_sparse_classes_75kplus_train_071683 | 5,224 | permissive | [
{
"docstring": "@param ap_paramList[stock_symbol_list]: AutoList of stock symbols @param data_type: Type of data to retrieve (daily, daily_adjusted, intraday, monthly, monthly_adjusted, weekly, weekly_adjusted) @param start_date: Starting date @param end_date: Ending date @param interval: Interval for intraday ... | 2 | stack_v2_sparse_classes_30k_train_003238 | Implement the Python class `DataFetcher` described below.
Class description:
Data Fetcher for retrieving stock data
Method signatures and docstrings:
- def __init__(self, ap_paramList, data_type, start_date=None, end_date=None, interval=None): @param ap_paramList[stock_symbol_list]: AutoList of stock symbols @param d... | Implement the Python class `DataFetcher` described below.
Class description:
Data Fetcher for retrieving stock data
Method signatures and docstrings:
- def __init__(self, ap_paramList, data_type, start_date=None, end_date=None, interval=None): @param ap_paramList[stock_symbol_list]: AutoList of stock symbols @param d... | 935bfd54149abd9542fe38e77b7eabab48b1c3a1 | <|skeleton|>
class DataFetcher:
"""Data Fetcher for retrieving stock data"""
def __init__(self, ap_paramList, data_type, start_date=None, end_date=None, interval=None):
"""@param ap_paramList[stock_symbol_list]: AutoList of stock symbols @param data_type: Type of data to retrieve (daily, daily_adjusted... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataFetcher:
"""Data Fetcher for retrieving stock data"""
def __init__(self, ap_paramList, data_type, start_date=None, end_date=None, interval=None):
"""@param ap_paramList[stock_symbol_list]: AutoList of stock symbols @param data_type: Type of data to retrieve (daily, daily_adjusted, intraday, m... | the_stack_v2_python_sparse | skdaccess/finance/timeseries/stream.py | MITHaystack/scikit-dataaccess | train | 41 |
30494a7b1a538396380a9897b4209b08a10edfaa | [
"try:\n ScfUser.objects.get(email=data)\nexcept:\n raise ParseError('User {} does not exist'.format(data))\nreturn data",
"newPassword = data.get('newPassword')\nif newPassword and newPassword != data.get('newPasswordConfirm'):\n raise ParseError('newPassword did not match newPasswordConfirm')\nreturn da... | <|body_start_0|>
try:
ScfUser.objects.get(email=data)
except:
raise ParseError('User {} does not exist'.format(data))
return data
<|end_body_0|>
<|body_start_1|>
newPassword = data.get('newPassword')
if newPassword and newPassword != data.get('newPassword... | User reset password serializer | UserPasswordResetSerializer | [
"Apache-2.0",
"GPL-3.0-only",
"BSD-3-Clause",
"AGPL-3.0-only",
"GPL-1.0-or-later",
"Python-2.0",
"BSD-2-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserPasswordResetSerializer:
"""User reset password serializer"""
def validate_email(self, data):
"""check email is exist or not"""
<|body_0|>
def validate(self, data):
"""validate password"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_75kplus_train_071684 | 4,134 | permissive | [
{
"docstring": "check email is exist or not",
"name": "validate_email",
"signature": "def validate_email(self, data)"
},
{
"docstring": "validate password",
"name": "validate",
"signature": "def validate(self, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_037070 | Implement the Python class `UserPasswordResetSerializer` described below.
Class description:
User reset password serializer
Method signatures and docstrings:
- def validate_email(self, data): check email is exist or not
- def validate(self, data): validate password | Implement the Python class `UserPasswordResetSerializer` described below.
Class description:
User reset password serializer
Method signatures and docstrings:
- def validate_email(self, data): check email is exist or not
- def validate(self, data): validate password
<|skeleton|>
class UserPasswordResetSerializer:
... | 4df3f46e35eb8fcab796be27fc1cc7fa7ed561f3 | <|skeleton|>
class UserPasswordResetSerializer:
"""User reset password serializer"""
def validate_email(self, data):
"""check email is exist or not"""
<|body_0|>
def validate(self, data):
"""validate password"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserPasswordResetSerializer:
"""User reset password serializer"""
def validate_email(self, data):
"""check email is exist or not"""
try:
ScfUser.objects.get(email=data)
except:
raise ParseError('User {} does not exist'.format(data))
return data
... | the_stack_v2_python_sparse | SCRM/ums/serializers.py | aricent/secure-cloud-native-fabric | train | 2 |
06b212b5d8632ba531937fd6278e238e153628eb | [
"self.log('logging日志信息:输入账号和密码')\nself.ITest.Itest_login_liucheng(self.Readusername(1), self.Readpassword(1))\nself.log('logging日志信息:对登录结果进行验证')\nself.assertEqual(self.ITest.login_success(), self.Readresult(1), '测试用例成功')\nself.log('logging日志信息:对登录成功进行截图')\ninsert_image(self.driver, 'success_info.png')",
"self.log... | <|body_start_0|>
self.log('logging日志信息:输入账号和密码')
self.ITest.Itest_login_liucheng(self.Readusername(1), self.Readpassword(1))
self.log('logging日志信息:对登录结果进行验证')
self.assertEqual(self.ITest.login_success(), self.Readresult(1), '测试用例成功')
self.log('logging日志信息:对登录成功进行截图')
inse... | Itest_Login | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Itest_Login:
def test_Itest_success(self):
"""验证登录成功:账号和密码输入正确"""
<|body_0|>
def test_Itest_error2(self):
"""验证登录失败:账号正确密码为空"""
<|body_1|>
def test_Itest_error3(self):
"""验证登录失败:账号为空密码正确"""
<|body_2|>
def test_Itest_error4(self):
... | stack_v2_sparse_classes_75kplus_train_071685 | 3,295 | no_license | [
{
"docstring": "验证登录成功:账号和密码输入正确",
"name": "test_Itest_success",
"signature": "def test_Itest_success(self)"
},
{
"docstring": "验证登录失败:账号正确密码为空",
"name": "test_Itest_error2",
"signature": "def test_Itest_error2(self)"
},
{
"docstring": "验证登录失败:账号为空密码正确",
"name": "test_Itest_e... | 5 | null | Implement the Python class `Itest_Login` described below.
Class description:
Implement the Itest_Login class.
Method signatures and docstrings:
- def test_Itest_success(self): 验证登录成功:账号和密码输入正确
- def test_Itest_error2(self): 验证登录失败:账号正确密码为空
- def test_Itest_error3(self): 验证登录失败:账号为空密码正确
- def test_Itest_error4(self): ... | Implement the Python class `Itest_Login` described below.
Class description:
Implement the Itest_Login class.
Method signatures and docstrings:
- def test_Itest_success(self): 验证登录成功:账号和密码输入正确
- def test_Itest_error2(self): 验证登录失败:账号正确密码为空
- def test_Itest_error3(self): 验证登录失败:账号为空密码正确
- def test_Itest_error4(self): ... | 3b0a3232e3797190a6b90c1d7fa58bec63bdbb27 | <|skeleton|>
class Itest_Login:
def test_Itest_success(self):
"""验证登录成功:账号和密码输入正确"""
<|body_0|>
def test_Itest_error2(self):
"""验证登录失败:账号正确密码为空"""
<|body_1|>
def test_Itest_error3(self):
"""验证登录失败:账号为空密码正确"""
<|body_2|>
def test_Itest_error4(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Itest_Login:
def test_Itest_success(self):
"""验证登录成功:账号和密码输入正确"""
self.log('logging日志信息:输入账号和密码')
self.ITest.Itest_login_liucheng(self.Readusername(1), self.Readpassword(1))
self.log('logging日志信息:对登录结果进行验证')
self.assertEqual(self.ITest.login_success(), self.Readresult(1... | the_stack_v2_python_sparse | testcase/Itest_login.py | kuangtao94/Appium | train | 0 | |
8409d138c9e86fa71bdf4bd6bb2bb38f844eda1f | [
"self._is_transient = is_transient\nself._max_attempts = max_attempts\nself._sleep = sleep",
"failures = 0\nwhile True:\n try:\n return callback()\n except Exception as e:\n failures += 1\n if failures == self._max_attempts or not self._is_transient(e):\n raise\n tf.lo... | <|body_start_0|>
self._is_transient = is_transient
self._max_attempts = max_attempts
self._sleep = sleep
<|end_body_0|>
<|body_start_1|>
failures = 0
while True:
try:
return callback()
except Exception as e:
failures += 1
... | Helper class for retrying things with exponential back-off. | Retrier | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Retrier:
"""Helper class for retrying things with exponential back-off."""
def __init__(self, is_transient, max_attempts=8, sleep=time.sleep):
"""Creates new instance. :type is_transient: (Exception) -> bool :type max_attempts: int :type sleep: (float) -> None"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_071686 | 16,613 | permissive | [
{
"docstring": "Creates new instance. :type is_transient: (Exception) -> bool :type max_attempts: int :type sleep: (float) -> None",
"name": "__init__",
"signature": "def __init__(self, is_transient, max_attempts=8, sleep=time.sleep)"
},
{
"docstring": "Invokes callback, retrying on transient ex... | 2 | stack_v2_sparse_classes_30k_train_033631 | Implement the Python class `Retrier` described below.
Class description:
Helper class for retrying things with exponential back-off.
Method signatures and docstrings:
- def __init__(self, is_transient, max_attempts=8, sleep=time.sleep): Creates new instance. :type is_transient: (Exception) -> bool :type max_attempts:... | Implement the Python class `Retrier` described below.
Class description:
Helper class for retrying things with exponential back-off.
Method signatures and docstrings:
- def __init__(self, is_transient, max_attempts=8, sleep=time.sleep): Creates new instance. :type is_transient: (Exception) -> bool :type max_attempts:... | cabf6e4f1970dc14302f87414f170de19944bac2 | <|skeleton|>
class Retrier:
"""Helper class for retrying things with exponential back-off."""
def __init__(self, is_transient, max_attempts=8, sleep=time.sleep):
"""Creates new instance. :type is_transient: (Exception) -> bool :type max_attempts: int :type sleep: (float) -> None"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Retrier:
"""Helper class for retrying things with exponential back-off."""
def __init__(self, is_transient, max_attempts=8, sleep=time.sleep):
"""Creates new instance. :type is_transient: (Exception) -> bool :type max_attempts: int :type sleep: (float) -> None"""
self._is_transient = is_t... | the_stack_v2_python_sparse | Keras_tensorflow_nightly/source2.7/tensorboard/util.py | ryfeus/lambda-packs | train | 1,283 |
09f752e069ef17491d8c03316db1bc01555285f7 | [
"super().__init__()\nself.conv = nn.Conv2d(c_in, c_out, kernel_size=K, padding=K // 2, stride=1)\nself.dims = (c_out, b)\nM = np.prod(self.dims)\nself.out_layer = nn.Linear(M, n_neurons)\nif filters is not None:\n self.conv.weight = nn.Parameter(filters)\n self.conv.bias = nn.Parameter(torch.zeros((c_out,), d... | <|body_start_0|>
super().__init__()
self.conv = nn.Conv2d(c_in, c_out, kernel_size=K, padding=K // 2, stride=1)
self.dims = (c_out, b)
M = np.prod(self.dims)
self.out_layer = nn.Linear(M, n_neurons)
if filters is not None:
self.conv.weight = nn.Parameter(filte... | Deep network with one convolutional layer + one fully connected layer Attributes: conv (nn.Conv1d): convolutional layer dims (tuple): shape of convolutional layer output out_layer (nn.Linear): linear layer | ConvFC | [
"CC-BY-4.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvFC:
"""Deep network with one convolutional layer + one fully connected layer Attributes: conv (nn.Conv1d): convolutional layer dims (tuple): shape of convolutional layer output out_layer (nn.Linear): linear layer"""
def __init__(self, n_neurons, c_in=1, c_out=6, K=7, b=12 * 16, filters=N... | stack_v2_sparse_classes_75kplus_train_071687 | 2,340 | permissive | [
{
"docstring": "initialize layer Args: c_in: number of input stimulus channels c_out: number of convolutional channels K: size of each convolutional filter h: number of stimulus bins, n_bins",
"name": "__init__",
"signature": "def __init__(self, n_neurons, c_in=1, c_out=6, K=7, b=12 * 16, filters=None)"... | 2 | stack_v2_sparse_classes_30k_train_050577 | Implement the Python class `ConvFC` described below.
Class description:
Deep network with one convolutional layer + one fully connected layer Attributes: conv (nn.Conv1d): convolutional layer dims (tuple): shape of convolutional layer output out_layer (nn.Linear): linear layer
Method signatures and docstrings:
- def ... | Implement the Python class `ConvFC` described below.
Class description:
Deep network with one convolutional layer + one fully connected layer Attributes: conv (nn.Conv1d): convolutional layer dims (tuple): shape of convolutional layer output out_layer (nn.Linear): linear layer
Method signatures and docstrings:
- def ... | 3d638d00f02d9fd269fa2aff7d062558afdcb126 | <|skeleton|>
class ConvFC:
"""Deep network with one convolutional layer + one fully connected layer Attributes: conv (nn.Conv1d): convolutional layer dims (tuple): shape of convolutional layer output out_layer (nn.Linear): linear layer"""
def __init__(self, n_neurons, c_in=1, c_out=6, K=7, b=12 * 16, filters=N... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConvFC:
"""Deep network with one convolutional layer + one fully connected layer Attributes: conv (nn.Conv1d): convolutional layer dims (tuple): shape of convolutional layer output out_layer (nn.Linear): linear layer"""
def __init__(self, n_neurons, c_in=1, c_out=6, K=7, b=12 * 16, filters=None):
... | the_stack_v2_python_sparse | tutorials/W1D5_DeepLearning/solutions/W1D5_Tutorial4_Solution_5dffefa9.py | NeuromatchAcademy/course-content | train | 2,678 |
46347a35f050d9aa088f1572b9c58eed0c0bd389 | [
"initial = super().get_initial()\nfor req in POSSIBLE_REQS:\n try:\n reqSetting = RequiredFieldSetting.objects.get(name=req[0])\n initial[req[0]] = reqSetting.required\n except:\n pass\nreturn initial",
"for req in POSSIBLE_REQS:\n try:\n reqSetting = RequiredFieldSetting.obje... | <|body_start_0|>
initial = super().get_initial()
for req in POSSIBLE_REQS:
try:
reqSetting = RequiredFieldSetting.objects.get(name=req[0])
initial[req[0]] = reqSetting.required
except:
pass
return initial
<|end_body_0|>
<|b... | View to change what is required to submit a form | ChangeRequiredFields | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChangeRequiredFields:
"""View to change what is required to submit a form"""
def get_initial(self):
"""Initializes form with current settings"""
<|body_0|>
def form_valid(self, form):
"""When form is valid, updates the settings for required fields to submit repor... | stack_v2_sparse_classes_75kplus_train_071688 | 25,501 | no_license | [
{
"docstring": "Initializes form with current settings",
"name": "get_initial",
"signature": "def get_initial(self)"
},
{
"docstring": "When form is valid, updates the settings for required fields to submit report",
"name": "form_valid",
"signature": "def form_valid(self, form)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014860 | Implement the Python class `ChangeRequiredFields` described below.
Class description:
View to change what is required to submit a form
Method signatures and docstrings:
- def get_initial(self): Initializes form with current settings
- def form_valid(self, form): When form is valid, updates the settings for required f... | Implement the Python class `ChangeRequiredFields` described below.
Class description:
View to change what is required to submit a form
Method signatures and docstrings:
- def get_initial(self): Initializes form with current settings
- def form_valid(self, form): When form is valid, updates the settings for required f... | 472a6fd487811002a60a7812ae2eef941e7182cc | <|skeleton|>
class ChangeRequiredFields:
"""View to change what is required to submit a form"""
def get_initial(self):
"""Initializes form with current settings"""
<|body_0|>
def form_valid(self, form):
"""When form is valid, updates the settings for required fields to submit repor... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChangeRequiredFields:
"""View to change what is required to submit a form"""
def get_initial(self):
"""Initializes form with current settings"""
initial = super().get_initial()
for req in POSSIBLE_REQS:
try:
reqSetting = RequiredFieldSetting.objects.get... | the_stack_v2_python_sparse | AACForm/makeReports/views/AAC/aac_admin_views.py | jdboyd-github/AAC-Capstone | train | 0 |
7323128f5d80a2a351d8506f7233b21cecb33fd2 | [
"self.user_id = Option('user-id', 'The user id used when making authenticated requests to the QuantConnect API.', True, credentials_storage)\nself.api_token = Option('api-token', 'The API token used when making authenticated requests to the QuantConnect API.', True, credentials_storage)\nself.default_language = Cho... | <|body_start_0|>
self.user_id = Option('user-id', 'The user id used when making authenticated requests to the QuantConnect API.', True, credentials_storage)
self.api_token = Option('api-token', 'The API token used when making authenticated requests to the QuantConnect API.', True, credentials_storage)
... | The CLIConfigManager class contains all configurable CLI options. | CLIConfigManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CLIConfigManager:
"""The CLIConfigManager class contains all configurable CLI options."""
def __init__(self, general_storage: Storage, credentials_storage: Storage) -> None:
"""Creates a new CLIConfigManager instance. :param general_storage: the Storage instance for general, non-sens... | stack_v2_sparse_classes_75kplus_train_071689 | 1,980 | permissive | [
{
"docstring": "Creates a new CLIConfigManager instance. :param general_storage: the Storage instance for general, non-sensitive options :param credentials_storage: the Storage instance for credentials",
"name": "__init__",
"signature": "def __init__(self, general_storage: Storage, credentials_storage: ... | 2 | stack_v2_sparse_classes_30k_train_049987 | Implement the Python class `CLIConfigManager` described below.
Class description:
The CLIConfigManager class contains all configurable CLI options.
Method signatures and docstrings:
- def __init__(self, general_storage: Storage, credentials_storage: Storage) -> None: Creates a new CLIConfigManager instance. :param ge... | Implement the Python class `CLIConfigManager` described below.
Class description:
The CLIConfigManager class contains all configurable CLI options.
Method signatures and docstrings:
- def __init__(self, general_storage: Storage, credentials_storage: Storage) -> None: Creates a new CLIConfigManager instance. :param ge... | 88a191afadf7bfe766665fa67c552390cb2e3951 | <|skeleton|>
class CLIConfigManager:
"""The CLIConfigManager class contains all configurable CLI options."""
def __init__(self, general_storage: Storage, credentials_storage: Storage) -> None:
"""Creates a new CLIConfigManager instance. :param general_storage: the Storage instance for general, non-sens... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CLIConfigManager:
"""The CLIConfigManager class contains all configurable CLI options."""
def __init__(self, general_storage: Storage, credentials_storage: Storage) -> None:
"""Creates a new CLIConfigManager instance. :param general_storage: the Storage instance for general, non-sensitive options... | the_stack_v2_python_sparse | lean/components/cli_config_manager.py | valmac/lean-cli | train | 0 |
c69c633ed0d4cc30bc8b89190e2c5e9ed0f706b4 | [
"self.rtol = rtol\nself.atol = atol\nsuper(WeightedGraphMatcher, self).__init__(G1, G2)",
"G1_adj = self.G1.adj\nG2_adj = self.G2.adj\ncore_1 = self.core_1\nrtol, atol = (self.rtol, self.atol)\nfor neighbor in G1_adj[G1_node]:\n if neighbor is G1_node:\n if not close(G1_adj[G1_node][G1_node].get('weight... | <|body_start_0|>
self.rtol = rtol
self.atol = atol
super(WeightedGraphMatcher, self).__init__(G1, G2)
<|end_body_0|>
<|body_start_1|>
G1_adj = self.G1.adj
G2_adj = self.G2.adj
core_1 = self.core_1
rtol, atol = (self.rtol, self.atol)
for neighbor in G1_adj... | Implementation of VF2 algorithm for undirected, weighted graphs. | WeightedGraphMatcher | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WeightedGraphMatcher:
"""Implementation of VF2 algorithm for undirected, weighted graphs."""
def __init__(self, G1, G2, rtol=1e-06, atol=1e-09):
"""Initialize WeightedGraphMatcher. Parameters ---------- G1, G2 : nx.Graph instances G1 and G2 must be weighted graphs. rtol : float, opti... | stack_v2_sparse_classes_75kplus_train_071690 | 9,804 | permissive | [
{
"docstring": "Initialize WeightedGraphMatcher. Parameters ---------- G1, G2 : nx.Graph instances G1 and G2 must be weighted graphs. rtol : float, optional The relative tolerance used to compare weights. atol : float, optional The absolute tolerance used to compare weights.",
"name": "__init__",
"signa... | 2 | stack_v2_sparse_classes_30k_train_042065 | Implement the Python class `WeightedGraphMatcher` described below.
Class description:
Implementation of VF2 algorithm for undirected, weighted graphs.
Method signatures and docstrings:
- def __init__(self, G1, G2, rtol=1e-06, atol=1e-09): Initialize WeightedGraphMatcher. Parameters ---------- G1, G2 : nx.Graph instan... | Implement the Python class `WeightedGraphMatcher` described below.
Class description:
Implementation of VF2 algorithm for undirected, weighted graphs.
Method signatures and docstrings:
- def __init__(self, G1, G2, rtol=1e-06, atol=1e-09): Initialize WeightedGraphMatcher. Parameters ---------- G1, G2 : nx.Graph instan... | de0cdb26248f6d0d8bea594124c1dd7a155d406d | <|skeleton|>
class WeightedGraphMatcher:
"""Implementation of VF2 algorithm for undirected, weighted graphs."""
def __init__(self, G1, G2, rtol=1e-06, atol=1e-09):
"""Initialize WeightedGraphMatcher. Parameters ---------- G1, G2 : nx.Graph instances G1 and G2 must be weighted graphs. rtol : float, opti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WeightedGraphMatcher:
"""Implementation of VF2 algorithm for undirected, weighted graphs."""
def __init__(self, G1, G2, rtol=1e-06, atol=1e-09):
"""Initialize WeightedGraphMatcher. Parameters ---------- G1, G2 : nx.Graph instances G1 and G2 must be weighted graphs. rtol : float, optional The rela... | the_stack_v2_python_sparse | Source/lib/CrossPlatform/networkx/algorithms/isomorphism/vf2weighted.py | JaneliaSciComp/Neuroptikon | train | 9 |
232df1b07995329430a3df7898d5e762ea03eb3c | [
"try:\n state = self.add_model_schema.load(request.json)\n key = CreateExplorePermalinkCommand(state=state).run()\n http_origin = request.headers.environ.get('HTTP_ORIGIN')\n url = f'{http_origin}/superset/explore/p/{key}/'\n return self.response(201, key=key, url=url)\nexcept ValidationError as ex:\... | <|body_start_0|>
try:
state = self.add_model_schema.load(request.json)
key = CreateExplorePermalinkCommand(state=state).run()
http_origin = request.headers.environ.get('HTTP_ORIGIN')
url = f'{http_origin}/superset/explore/p/{key}/'
return self.response... | ExplorePermalinkRestApi | [
"Apache-2.0",
"OFL-1.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExplorePermalinkRestApi:
def post(self) -> Response:
"""Stores a new permanent link. --- post: description: >- Stores a new permanent link. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ExplorePermalinkPostSchema' responses: 201: description: ... | stack_v2_sparse_classes_75kplus_train_071691 | 6,288 | permissive | [
{
"docstring": "Stores a new permanent link. --- post: description: >- Stores a new permanent link. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ExplorePermalinkPostSchema' responses: 201: description: The permanent link was stored successfully. content: application... | 2 | stack_v2_sparse_classes_30k_train_005226 | Implement the Python class `ExplorePermalinkRestApi` described below.
Class description:
Implement the ExplorePermalinkRestApi class.
Method signatures and docstrings:
- def post(self) -> Response: Stores a new permanent link. --- post: description: >- Stores a new permanent link. requestBody: required: true content:... | Implement the Python class `ExplorePermalinkRestApi` described below.
Class description:
Implement the ExplorePermalinkRestApi class.
Method signatures and docstrings:
- def post(self) -> Response: Stores a new permanent link. --- post: description: >- Stores a new permanent link. requestBody: required: true content:... | 0945d4a2f46667aebb9b93d0d7685215627ad237 | <|skeleton|>
class ExplorePermalinkRestApi:
def post(self) -> Response:
"""Stores a new permanent link. --- post: description: >- Stores a new permanent link. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ExplorePermalinkPostSchema' responses: 201: description: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExplorePermalinkRestApi:
def post(self) -> Response:
"""Stores a new permanent link. --- post: description: >- Stores a new permanent link. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ExplorePermalinkPostSchema' responses: 201: description: The permanent ... | the_stack_v2_python_sparse | superset/explore/permalink/api.py | apache-superset/incubator-superset | train | 21 | |
68f44addfb9163bb2696f511e6bb58378f22e780 | [
"try:\n if self.id is None:\n return self.query.all()\n if self.id is not None and type(self.id) is int and (self.id >= 0):\n return self.query.get(self.id)\nexcept Exception as e:\n return e.__cause__.args[1]",
"try:\n db.session.add(self)\n return db.session.commit()\nexcept Excepti... | <|body_start_0|>
try:
if self.id is None:
return self.query.all()
if self.id is not None and type(self.id) is int and (self.id >= 0):
return self.query.get(self.id)
except Exception as e:
return e.__cause__.args[1]
<|end_body_0|>
<|bod... | Using to create a session in database [description] Extends: db.Model Variables: __tablename__ {str} -- [table name in database] id {[int]} -- [The id of session] user_id {[int]} -- [The user_id have this session] ip_address {[sring(17)]} -- [The ip address of person have user_id] user_agent {[text]} -- [The user agent... | Session | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Session:
"""Using to create a session in database [description] Extends: db.Model Variables: __tablename__ {str} -- [table name in database] id {[int]} -- [The id of session] user_id {[int]} -- [The user_id have this session] ip_address {[sring(17)]} -- [The ip address of person have user_id] use... | stack_v2_sparse_classes_75kplus_train_071692 | 5,599 | no_license | [
{
"docstring": "[summary] [description] Arguments: id {[type]} -- [description] Returns: [None] -- [When successed] [Message] -- [When failed]",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "[summary] [description] Returns: [None] -- [When successed] [Message] -- [When failed]",... | 4 | stack_v2_sparse_classes_30k_train_031958 | Implement the Python class `Session` described below.
Class description:
Using to create a session in database [description] Extends: db.Model Variables: __tablename__ {str} -- [table name in database] id {[int]} -- [The id of session] user_id {[int]} -- [The user_id have this session] ip_address {[sring(17)]} -- [The... | Implement the Python class `Session` described below.
Class description:
Using to create a session in database [description] Extends: db.Model Variables: __tablename__ {str} -- [table name in database] id {[int]} -- [The id of session] user_id {[int]} -- [The user_id have this session] ip_address {[sring(17)]} -- [The... | 052956e5006f7d274d19a43b061c2fe4a6456cc0 | <|skeleton|>
class Session:
"""Using to create a session in database [description] Extends: db.Model Variables: __tablename__ {str} -- [table name in database] id {[int]} -- [The id of session] user_id {[int]} -- [The user_id have this session] ip_address {[sring(17)]} -- [The ip address of person have user_id] use... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Session:
"""Using to create a session in database [description] Extends: db.Model Variables: __tablename__ {str} -- [table name in database] id {[int]} -- [The id of session] user_id {[int]} -- [The user_id have this session] ip_address {[sring(17)]} -- [The ip address of person have user_id] user_agent {[tex... | the_stack_v2_python_sparse | models/cache.py | BoTranVan/statuspage | train | 0 |
226e75a07eddb8b4bec9ba3492deea18b7e3179e | [
"choice = input('Choose either (A.)Rock, (B.)Paper, or (C.)Scissors:')\nif choice == 'a' or choice == 'A':\n user_move = 'Rock'\nelif choice == 'b' or choice == 'B':\n user_move = 'Paper'\nelif choice == 'c' or choice == 'C':\n user_move = 'Scissors'\nelse:\n print('Invalid selection, please select eith... | <|body_start_0|>
choice = input('Choose either (A.)Rock, (B.)Paper, or (C.)Scissors:')
if choice == 'a' or choice == 'A':
user_move = 'Rock'
elif choice == 'b' or choice == 'B':
user_move = 'Paper'
elif choice == 'c' or choice == 'C':
user_move = 'Scis... | RPC | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RPC:
def start(self):
"""Description: This method takes user input and has error checking. Args: None. Returns: user_move"""
<|body_0|>
def compare(self, user_move):
"""Description: This method prints the choice of user and computer. It also calculates who wins each ... | stack_v2_sparse_classes_75kplus_train_071693 | 2,496 | permissive | [
{
"docstring": "Description: This method takes user input and has error checking. Args: None. Returns: user_move",
"name": "start",
"signature": "def start(self)"
},
{
"docstring": "Description: This method prints the choice of user and computer. It also calculates who wins each hand. Args: user... | 2 | stack_v2_sparse_classes_30k_train_031502 | Implement the Python class `RPC` described below.
Class description:
Implement the RPC class.
Method signatures and docstrings:
- def start(self): Description: This method takes user input and has error checking. Args: None. Returns: user_move
- def compare(self, user_move): Description: This method prints the choice... | Implement the Python class `RPC` described below.
Class description:
Implement the RPC class.
Method signatures and docstrings:
- def start(self): Description: This method takes user input and has error checking. Args: None. Returns: user_move
- def compare(self, user_move): Description: This method prints the choice... | df46c8bb8e4c8ba6d34898cd13cdb0348eb4e74d | <|skeleton|>
class RPC:
def start(self):
"""Description: This method takes user input and has error checking. Args: None. Returns: user_move"""
<|body_0|>
def compare(self, user_move):
"""Description: This method prints the choice of user and computer. It also calculates who wins each ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RPC:
def start(self):
"""Description: This method takes user input and has error checking. Args: None. Returns: user_move"""
choice = input('Choose either (A.)Rock, (B.)Paper, or (C.)Scissors:')
if choice == 'a' or choice == 'A':
user_move = 'Rock'
elif choice == 'b... | the_stack_v2_python_sparse | rock_paper_scissors.py | tangowithfoxtrot/beginner_project_solutions | train | 0 | |
898844c574a735ddd0b2c73f92daf849c700c4e1 | [
"adm = ApplikationsAdministration()\nverbund = adm.get_anwenderverbund_by_id(id)\nif verbund is not None:\n mitglieder_id = adm.mitglieder_zum_anwenderverbund_ausgeben(verbund)\n benutze_objekte = []\n for i in mitglieder_id:\n benutze_objekt = adm.get_benutzer_by_id(i)\n benutze_objekte.appe... | <|body_start_0|>
adm = ApplikationsAdministration()
verbund = adm.get_anwenderverbund_by_id(id)
if verbund is not None:
mitglieder_id = adm.mitglieder_zum_anwenderverbund_ausgeben(verbund)
benutze_objekte = []
for i in mitglieder_id:
benutze_ob... | AnwenderverbundRelatedBenutzerOperations | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnwenderverbundRelatedBenutzerOperations:
def get(self, id):
"""Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund"""
<|body_0|>
def post(self, id):
"""Hinzufügen eines Benutzers in einen Anwenderverbund"""
<|body_1|>
def delete(self... | stack_v2_sparse_classes_75kplus_train_071694 | 23,456 | no_license | [
{
"docstring": "Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Hinzufügen eines Benutzers in einen Anwenderverbund",
"name": "post",
"signature": "def post(self, id)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_test_000608 | Implement the Python class `AnwenderverbundRelatedBenutzerOperations` described below.
Class description:
Implement the AnwenderverbundRelatedBenutzerOperations class.
Method signatures and docstrings:
- def get(self, id): Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund
- def post(self, id): H... | Implement the Python class `AnwenderverbundRelatedBenutzerOperations` described below.
Class description:
Implement the AnwenderverbundRelatedBenutzerOperations class.
Method signatures and docstrings:
- def get(self, id): Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund
- def post(self, id): H... | d4a2b196f21a5379188cb78b31c59d69f739964f | <|skeleton|>
class AnwenderverbundRelatedBenutzerOperations:
def get(self, id):
"""Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund"""
<|body_0|>
def post(self, id):
"""Hinzufügen eines Benutzers in einen Anwenderverbund"""
<|body_1|>
def delete(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AnwenderverbundRelatedBenutzerOperations:
def get(self, id):
"""Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund"""
adm = ApplikationsAdministration()
verbund = adm.get_anwenderverbund_by_id(id)
if verbund is not None:
mitglieder_id = adm.mitg... | the_stack_v2_python_sparse | src/main.py | SvenjaHolzinger/SoftwarePraktikum | train | 0 | |
23f2eab990678193820b6ab9c59e95a85d49fb65 | [
"if id and id not in ['self', 'unreviewed']:\n try:\n video = Video.objects.get(uuid=id)\n except Video.DoesNotExist:\n return Response(build_resp(COMMON_URL_ERROR))\n serializer = VideoSerializer(video)\n return Response(build_resp(serializer.data))\nstatus = [VideoStatus.PENDING_APPROVAL... | <|body_start_0|>
if id and id not in ['self', 'unreviewed']:
try:
video = Video.objects.get(uuid=id)
except Video.DoesNotExist:
return Response(build_resp(COMMON_URL_ERROR))
serializer = VideoSerializer(video)
return Response(build_... | VideoView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VideoView:
def get(self, request, id=None):
"""Get videos or single video information. list: return paged video entries with filters of request get params. filters: * author ( user id, special value: self, if null the api will return a list without self video. ) * query ( any text in glo... | stack_v2_sparse_classes_75kplus_train_071695 | 17,168 | no_license | [
{
"docstring": "Get videos or single video information. list: return paged video entries with filters of request get params. filters: * author ( user id, special value: self, if null the api will return a list without self video. ) * query ( any text in gloss label ) * categories ( comma separated numbers, cate... | 2 | stack_v2_sparse_classes_30k_train_045351 | Implement the Python class `VideoView` described below.
Class description:
Implement the VideoView class.
Method signatures and docstrings:
- def get(self, request, id=None): Get videos or single video information. list: return paged video entries with filters of request get params. filters: * author ( user id, speci... | Implement the Python class `VideoView` described below.
Class description:
Implement the VideoView class.
Method signatures and docstrings:
- def get(self, request, id=None): Get videos or single video information. list: return paged video entries with filters of request get params. filters: * author ( user id, speci... | f127b4642115a25c3f27c8a75f73015bfbd9a21d | <|skeleton|>
class VideoView:
def get(self, request, id=None):
"""Get videos or single video information. list: return paged video entries with filters of request get params. filters: * author ( user id, special value: self, if null the api will return a list without self video. ) * query ( any text in glo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VideoView:
def get(self, request, id=None):
"""Get videos or single video information. list: return paged video entries with filters of request get params. filters: * author ( user id, special value: self, if null the api will return a list without self video. ) * query ( any text in gloss label ) * c... | the_stack_v2_python_sparse | cslt/api_views.py | cslt-china/backend | train | 0 | |
ed41bfc5515008d62eee2b4e11ec55f39c8710c4 | [
"query = request.GET.get('q')\nsort = request.GET.get('sort', 'name')\nform = ClientForm()\nlist_client = None\nif query:\n list_client = Client.objects.filter(Q(name__icontains=query) | Q(phone__icontains=query) | Q(email__icontains=query))\nelse:\n list_client = Client.objects.all()\npage = request.GET.get(... | <|body_start_0|>
query = request.GET.get('q')
sort = request.GET.get('sort', 'name')
form = ClientForm()
list_client = None
if query:
list_client = Client.objects.filter(Q(name__icontains=query) | Q(phone__icontains=query) | Q(email__icontains=query))
else:
... | Clase para crear un servidor | NewClientView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NewClientView:
"""Clase para crear un servidor"""
def get(self, request, *args, **kwargs):
"""Método get"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Método post"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
query = request.GET.g... | stack_v2_sparse_classes_75kplus_train_071696 | 22,221 | no_license | [
{
"docstring": "Método get",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Método post",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015036 | Implement the Python class `NewClientView` described below.
Class description:
Clase para crear un servidor
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Método get
- def post(self, request, *args, **kwargs): Método post | Implement the Python class `NewClientView` described below.
Class description:
Clase para crear un servidor
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Método get
- def post(self, request, *args, **kwargs): Método post
<|skeleton|>
class NewClientView:
"""Clase para crear un serv... | e28e2d968372609ad396c42fb572a00c2410a117 | <|skeleton|>
class NewClientView:
"""Clase para crear un servidor"""
def get(self, request, *args, **kwargs):
"""Método get"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Método post"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NewClientView:
"""Clase para crear un servidor"""
def get(self, request, *args, **kwargs):
"""Método get"""
query = request.GET.get('q')
sort = request.GET.get('sort', 'name')
form = ClientForm()
list_client = None
if query:
list_client = Client... | the_stack_v2_python_sparse | list/views.py | damaos/server_list2 | train | 0 |
4909c750b1d561336fa7b7ae8b4b65e5dacd27f4 | [
"if not p and (not q):\n return True\nif not p or not q:\n return False\ncurr_is_same = p.val == q.val\nleft_is_same = self.isSameTree(p.left, q.left)\nright_is_same = self.isSameTree(p.right, q.right)\nreturn curr_is_same and left_is_same and right_is_same",
"stack = deque([(p, q)])\nwhile stack:\n node... | <|body_start_0|>
if not p and (not q):
return True
if not p or not q:
return False
curr_is_same = p.val == q.val
left_is_same = self.isSameTree(p.left, q.left)
right_is_same = self.isSameTree(p.right, q.right)
return curr_is_same and left_is_same a... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool:
"""Recursive DFS Time complexity: O(min(p, q)) == O(n) Space complexity: O(min(p, q)) == O(n)"""
<|body_0|>
def isSameTreeIterativeDFS(self, p: Optional[TreeNode], q: Optional[TreeNode]) ->... | stack_v2_sparse_classes_75kplus_train_071697 | 2,240 | permissive | [
{
"docstring": "Recursive DFS Time complexity: O(min(p, q)) == O(n) Space complexity: O(min(p, q)) == O(n)",
"name": "isSameTree",
"signature": "def isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool"
},
{
"docstring": "Iterative DFS Time complexity: O(min(p, q)) == O(n) Spac... | 3 | stack_v2_sparse_classes_30k_train_001153 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool: Recursive DFS Time complexity: O(min(p, q)) == O(n) Space complexity: O(min(p, q)) == O(n)
- def isSam... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool: Recursive DFS Time complexity: O(min(p, q)) == O(n) Space complexity: O(min(p, q)) == O(n)
- def isSam... | 32b0878f63e5edd19a1fbe13bfa4c518a4261e23 | <|skeleton|>
class Solution:
def isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool:
"""Recursive DFS Time complexity: O(min(p, q)) == O(n) Space complexity: O(min(p, q)) == O(n)"""
<|body_0|>
def isSameTreeIterativeDFS(self, p: Optional[TreeNode], q: Optional[TreeNode]) ->... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isSameTree(self, p: Optional[TreeNode], q: Optional[TreeNode]) -> bool:
"""Recursive DFS Time complexity: O(min(p, q)) == O(n) Space complexity: O(min(p, q)) == O(n)"""
if not p and (not q):
return True
if not p or not q:
return False
curr_... | the_stack_v2_python_sparse | leetcode/Trees/100. Same Tree.py | danielfsousa/algorithms-solutions | train | 2 | |
e0504bbc0ea453cbaae46550972f27050aad3a05 | [
"colors[origin] = 0\nqueue = deque()\nqueue.append(origin)\nwhile queue:\n node = queue.popleft()\n nodeColor = colors[node]\n for neighbor in graph[node]:\n if colors[neighbor] is None:\n colors[neighbor] = 1 - nodeColor\n queue.append(neighbor)\n elif nodeColor + color... | <|body_start_0|>
colors[origin] = 0
queue = deque()
queue.append(origin)
while queue:
node = queue.popleft()
nodeColor = colors[node]
for neighbor in graph[node]:
if colors[neighbor] is None:
colors[neighbor] = 1 - n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mark(self, origin: int, graph: List[List[int]], colors: List[int]) -> bool:
"""BFS mark graph in 2 colors"""
<|body_0|>
def isBipartite(self, graph: List[List[int]]) -> bool:
"""The idea is to mark vertices with 2 colors. If 2 vertices on same edge are ... | stack_v2_sparse_classes_75kplus_train_071698 | 2,707 | no_license | [
{
"docstring": "BFS mark graph in 2 colors",
"name": "mark",
"signature": "def mark(self, origin: int, graph: List[List[int]], colors: List[int]) -> bool"
},
{
"docstring": "The idea is to mark vertices with 2 colors. If 2 vertices on same edge are in same color, then the graph is not Bipartite"... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mark(self, origin: int, graph: List[List[int]], colors: List[int]) -> bool: BFS mark graph in 2 colors
- def isBipartite(self, graph: List[List[int]]) -> bool: The idea is to... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mark(self, origin: int, graph: List[List[int]], colors: List[int]) -> bool: BFS mark graph in 2 colors
- def isBipartite(self, graph: List[List[int]]) -> bool: The idea is to... | ad2f5bd0aec3d2c2c77b7c18627c1dd8fe8c0653 | <|skeleton|>
class Solution:
def mark(self, origin: int, graph: List[List[int]], colors: List[int]) -> bool:
"""BFS mark graph in 2 colors"""
<|body_0|>
def isBipartite(self, graph: List[List[int]]) -> bool:
"""The idea is to mark vertices with 2 colors. If 2 vertices on same edge are ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mark(self, origin: int, graph: List[List[int]], colors: List[int]) -> bool:
"""BFS mark graph in 2 colors"""
colors[origin] = 0
queue = deque()
queue.append(origin)
while queue:
node = queue.popleft()
nodeColor = colors[node]
... | the_stack_v2_python_sparse | 785 Is Graph Bipartite?.py | jz33/LeetCodeSolutions | train | 8 | |
faa4852ead83c1ec64ef76edb96889633eb64ad4 | [
"super().__init__(*args, **kwargs)\nfor field in self.fields:\n self.fields[field].widget.attrs['class'] = 'form-control'",
"user = super().save(commit=False)\nuser.set_password(self.cleaned_data['password'])\nif commit:\n user.save()\nreturn user"
] | <|body_start_0|>
super().__init__(*args, **kwargs)
for field in self.fields:
self.fields[field].widget.attrs['class'] = 'form-control'
<|end_body_0|>
<|body_start_1|>
user = super().save(commit=False)
user.set_password(self.cleaned_data['password'])
if commit:
... | Форма для регистрации пользователей | MyRegisterForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyRegisterForm:
"""Форма для регистрации пользователей"""
def __init__(self, *args, **kwargs):
"""Переопределяем метод init для формы, чтобы задать нужные классы"""
<|body_0|>
def save(self, commit=True):
"""переопределяем Save чтобы правильно сохранять пароли по... | stack_v2_sparse_classes_75kplus_train_071699 | 4,125 | no_license | [
{
"docstring": "Переопределяем метод init для формы, чтобы задать нужные классы",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "переопределяем Save чтобы правильно сохранять пароли пользователей",
"name": "save",
"signature": "def save(self, co... | 2 | null | Implement the Python class `MyRegisterForm` described below.
Class description:
Форма для регистрации пользователей
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Переопределяем метод init для формы, чтобы задать нужные классы
- def save(self, commit=True): переопределяем Save чтобы правильн... | Implement the Python class `MyRegisterForm` described below.
Class description:
Форма для регистрации пользователей
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Переопределяем метод init для формы, чтобы задать нужные классы
- def save(self, commit=True): переопределяем Save чтобы правильн... | 2242d925b08b450bca927e2b5a59a13725e37d33 | <|skeleton|>
class MyRegisterForm:
"""Форма для регистрации пользователей"""
def __init__(self, *args, **kwargs):
"""Переопределяем метод init для формы, чтобы задать нужные классы"""
<|body_0|>
def save(self, commit=True):
"""переопределяем Save чтобы правильно сохранять пароли по... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyRegisterForm:
"""Форма для регистрации пользователей"""
def __init__(self, *args, **kwargs):
"""Переопределяем метод init для формы, чтобы задать нужные классы"""
super().__init__(*args, **kwargs)
for field in self.fields:
self.fields[field].widget.attrs['class'] = '... | the_stack_v2_python_sparse | myproject/regabitur/forms.py | Pauuukin/abiturient | train | 0 |
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