blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 467 8.64k | id stringlengths 40 40 | length_bytes int64 515 49.7k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 160 3.93k | prompted_full_text stringlengths 681 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.09k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 331 8.3k | source stringclasses 1
value | source_path stringlengths 5 177 | source_repo stringlengths 6 88 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
02b5351fa7c9121cf8ca2b1262c13661041b6bf4 | [
"if n == 0:\n return 1.0\nhalf = self.fastpow(x, n / 2)\nif n % 2 == 1:\n return half * half * x\nreturn half * half",
"if n < 0:\n n = -n\n x = 1 / x\nreturn self.fastpow(x, n)"
] | <|body_start_0|>
if n == 0:
return 1.0
half = self.fastpow(x, n / 2)
if n % 2 == 1:
return half * half * x
return half * half
<|end_body_0|>
<|body_start_1|>
if n < 0:
n = -n
x = 1 / x
return self.fastpow(x, n)
<|end_body_1... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def fastpow(self, x, n):
"""fast pow"""
<|body_0|>
def myPow(self, x, n):
""":type x: float :type n: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n == 0:
return 1.0
half = self.fastpow(x, n / 2)
... | stack_v2_sparse_classes_10k_train_004800 | 780 | no_license | [
{
"docstring": "fast pow",
"name": "fastpow",
"signature": "def fastpow(self, x, n)"
},
{
"docstring": ":type x: float :type n: int :rtype: float",
"name": "myPow",
"signature": "def myPow(self, x, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001062 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fastpow(self, x, n): fast pow
- def myPow(self, x, n): :type x: float :type n: int :rtype: float | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fastpow(self, x, n): fast pow
- def myPow(self, x, n): :type x: float :type n: int :rtype: float
<|skeleton|>
class Solution:
def fastpow(self, x, n):
"""fast p... | 1a18711fb1ea479fe6fbbe4bd6120950e00ba3ff | <|skeleton|>
class Solution:
def fastpow(self, x, n):
"""fast pow"""
<|body_0|>
def myPow(self, x, n):
""":type x: float :type n: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def fastpow(self, x, n):
"""fast pow"""
if n == 0:
return 1.0
half = self.fastpow(x, n / 2)
if n % 2 == 1:
return half * half * x
return half * half
def myPow(self, x, n):
""":type x: float :type n: int :rtype: float"""
... | the_stack_v2_python_sparse | 050.Pow_x_n.py | chaoswork/leetcode | train | 0 | |
21a44d601ba534026203509f13c85f04e5ea12ac | [
"super(TabularQAttackerBotAgent, self).__init__(game_config)\nif q_table_path is None:\n raise ValueError('Cannot create a TabularQAttackerBotAgent without specifying the path to the Q-table')\nself.q_table_path = q_table_path\nself.Q = np.load(q_table_path)",
"actions = list(range(self.game_config.num_attack_... | <|body_start_0|>
super(TabularQAttackerBotAgent, self).__init__(game_config)
if q_table_path is None:
raise ValueError('Cannot create a TabularQAttackerBotAgent without specifying the path to the Q-table')
self.q_table_path = q_table_path
self.Q = np.load(q_table_path)
<|end_... | Class implementing an attack policy that acts greedily according to a given Q-table | TabularQAttackerBotAgent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TabularQAttackerBotAgent:
"""Class implementing an attack policy that acts greedily according to a given Q-table"""
def __init__(self, game_config: GameConfig, q_table_path: str=None):
"""Constructor, initializes the policy :param game_config: the game configuration"""
<|body... | stack_v2_sparse_classes_10k_train_004801 | 2,005 | permissive | [
{
"docstring": "Constructor, initializes the policy :param game_config: the game configuration",
"name": "__init__",
"signature": "def __init__(self, game_config: GameConfig, q_table_path: str=None)"
},
{
"docstring": "Samples an action from the policy. :param game_state: the game state :return:... | 2 | stack_v2_sparse_classes_30k_train_002898 | Implement the Python class `TabularQAttackerBotAgent` described below.
Class description:
Class implementing an attack policy that acts greedily according to a given Q-table
Method signatures and docstrings:
- def __init__(self, game_config: GameConfig, q_table_path: str=None): Constructor, initializes the policy :pa... | Implement the Python class `TabularQAttackerBotAgent` described below.
Class description:
Class implementing an attack policy that acts greedily according to a given Q-table
Method signatures and docstrings:
- def __init__(self, game_config: GameConfig, q_table_path: str=None): Constructor, initializes the policy :pa... | d10830fef55308d383c98b41b34688a7fceae357 | <|skeleton|>
class TabularQAttackerBotAgent:
"""Class implementing an attack policy that acts greedily according to a given Q-table"""
def __init__(self, game_config: GameConfig, q_table_path: str=None):
"""Constructor, initializes the policy :param game_config: the game configuration"""
<|body... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TabularQAttackerBotAgent:
"""Class implementing an attack policy that acts greedily according to a given Q-table"""
def __init__(self, game_config: GameConfig, q_table_path: str=None):
"""Constructor, initializes the policy :param game_config: the game configuration"""
super(TabularQAttac... | the_stack_v2_python_sparse | gym_idsgame/agents/training_agents/q_learning/tabular_q_learning/tabular_q_attacker_bot_agent.py | Limmen/gym-idsgame | train | 49 |
513ea499400c794ef129c0c55c0ae56be6f90b5c | [
"self.login.login(username, password)\nsleep(5)\nself.driver.assert_in(u'人员调度1111', u'人员调度')",
"self.login.login(username, password)\nsleep(2)\nself.driver.assert_true(self.login.login_errorinfo_text(wrong_msg))",
"self.login.input_login_username(username)\nsleep(1)\nself.login.input_login_password(password)\ns... | <|body_start_0|>
self.login.login(username, password)
sleep(5)
self.driver.assert_in(u'人员调度1111', u'人员调度')
<|end_body_0|>
<|body_start_1|>
self.login.login(username, password)
sleep(2)
self.driver.assert_true(self.login.login_errorinfo_text(wrong_msg))
<|end_body_1|>
<|... | PoliceVP登录测试 | WTestLogin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WTestLogin:
"""PoliceVP登录测试"""
def test_login01(self, username, password):
"""正确登录，弹出首页"""
<|body_0|>
def test_login02(self, username, password, wrong_msg):
"""错误登录，有提示信息"""
<|body_1|>
def test_login03(self, username, password, button_attribute, butt... | stack_v2_sparse_classes_10k_train_004802 | 5,242 | no_license | [
{
"docstring": "正确登录，弹出首页",
"name": "test_login01",
"signature": "def test_login01(self, username, password)"
},
{
"docstring": "错误登录，有提示信息",
"name": "test_login02",
"signature": "def test_login02(self, username, password, wrong_msg)"
},
{
"docstring": "用户名或密码小于6位，登录按钮置灰",
"n... | 5 | stack_v2_sparse_classes_30k_train_004711 | Implement the Python class `WTestLogin` described below.
Class description:
PoliceVP登录测试
Method signatures and docstrings:
- def test_login01(self, username, password): 正确登录，弹出首页
- def test_login02(self, username, password, wrong_msg): 错误登录，有提示信息
- def test_login03(self, username, password, button_attribute, button_a... | Implement the Python class `WTestLogin` described below.
Class description:
PoliceVP登录测试
Method signatures and docstrings:
- def test_login01(self, username, password): 正确登录，弹出首页
- def test_login02(self, username, password, wrong_msg): 错误登录，有提示信息
- def test_login03(self, username, password, button_attribute, button_a... | d0b0f5d59f5d94e12ed138456a927047b7e55d96 | <|skeleton|>
class WTestLogin:
"""PoliceVP登录测试"""
def test_login01(self, username, password):
"""正确登录，弹出首页"""
<|body_0|>
def test_login02(self, username, password, wrong_msg):
"""错误登录，有提示信息"""
<|body_1|>
def test_login03(self, username, password, button_attribute, butt... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class WTestLogin:
"""PoliceVP登录测试"""
def test_login01(self, username, password):
"""正确登录，弹出首页"""
self.login.login(username, password)
sleep(5)
self.driver.assert_in(u'人员调度1111', u'人员调度')
def test_login02(self, username, password, wrong_msg):
"""错误登录，有提示信息"""
... | the_stack_v2_python_sparse | project/web_project/login_test.py | zyt19910214/Studys | train | 0 |
8a6e20db19a023b4c3e5697f6d101fafbecd1373 | [
"instance_id = self.get_current_instance_id()\nvm = self.get_current_machine()\nfor lb in self.lbs:\n match = self.match_load_balancer_and_vm(lb, vm)\n if not match:\n self.record(lb.name, instance_id, RegistrationAction.REGISTER, [RegistrationActionReason.NOT_YET_REGISTERED])\n if not self.add_... | <|body_start_0|>
instance_id = self.get_current_instance_id()
vm = self.get_current_machine()
for lb in self.lbs:
match = self.match_load_balancer_and_vm(lb, vm)
if not match:
self.record(lb.name, instance_id, RegistrationAction.REGISTER, [RegistrationActi... | Registerer that adds and removes current machine from configured ELBs. | AzureLbSelfRegisterer | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AzureLbSelfRegisterer:
"""Registerer that adds and removes current machine from configured ELBs."""
def add(self):
"""Add the current instance to all configured LBs. Assumes that this code is running on an Azure instance."""
<|body_0|>
def remove(self):
"""Remove... | stack_v2_sparse_classes_10k_train_004803 | 16,722 | permissive | [
{
"docstring": "Add the current instance to all configured LBs. Assumes that this code is running on an Azure instance.",
"name": "add",
"signature": "def add(self)"
},
{
"docstring": "Remove the current instance from all configured LBs. Assumes that this code is running on an Azure instance.",
... | 2 | stack_v2_sparse_classes_30k_train_006634 | Implement the Python class `AzureLbSelfRegisterer` described below.
Class description:
Registerer that adds and removes current machine from configured ELBs.
Method signatures and docstrings:
- def add(self): Add the current instance to all configured LBs. Assumes that this code is running on an Azure instance.
- def... | Implement the Python class `AzureLbSelfRegisterer` described below.
Class description:
Registerer that adds and removes current machine from configured ELBs.
Method signatures and docstrings:
- def add(self): Add the current instance to all configured LBs. Assumes that this code is running on an Azure instance.
- def... | 73a1e7086cc4dd171456f50724246a9261febaf8 | <|skeleton|>
class AzureLbSelfRegisterer:
"""Registerer that adds and removes current machine from configured ELBs."""
def add(self):
"""Add the current instance to all configured LBs. Assumes that this code is running on an Azure instance."""
<|body_0|>
def remove(self):
"""Remove... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AzureLbSelfRegisterer:
"""Registerer that adds and removes current machine from configured ELBs."""
def add(self):
"""Add the current instance to all configured LBs. Assumes that this code is running on an Azure instance."""
instance_id = self.get_current_instance_id()
vm = self.g... | the_stack_v2_python_sparse | tellapart/aurproxy/register/azurelb.py | aurora-scheduler/aurproxy | train | 1 |
7652bc8c9b4d40ab67a82c9f5a74fb24a749d89e | [
"temple.zhifu = mock.Mock(return_value={'result': 'success', 'reason': 'null'})\nstatues = temple.zhifu_statues()\nprint(statues)\nself.assertEqual(statues, '支付成功')",
"temple.zhifu = mock.Mock(return_value={'result': 'fail', 'reason': '余额不足'})\nstatues = temple.zhifu_statues()\nself.assertEqual(statues, '支付失败')"
... | <|body_start_0|>
temple.zhifu = mock.Mock(return_value={'result': 'success', 'reason': 'null'})
statues = temple.zhifu_statues()
print(statues)
self.assertEqual(statues, '支付成功')
<|end_body_0|>
<|body_start_1|>
temple.zhifu = mock.Mock(return_value={'result': 'fail', 'reason': '余... | 单元测试用例 | Test_zhifu_statues | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_zhifu_statues:
"""单元测试用例"""
def test_01(self):
"""测试支付成功场景"""
<|body_0|>
def test_02(self):
"""测试支付失败场景"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
temple.zhifu = mock.Mock(return_value={'result': 'success', 'reason': 'null'})
s... | stack_v2_sparse_classes_10k_train_004804 | 4,862 | no_license | [
{
"docstring": "测试支付成功场景",
"name": "test_01",
"signature": "def test_01(self)"
},
{
"docstring": "测试支付失败场景",
"name": "test_02",
"signature": "def test_02(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005832 | Implement the Python class `Test_zhifu_statues` described below.
Class description:
单元测试用例
Method signatures and docstrings:
- def test_01(self): 测试支付成功场景
- def test_02(self): 测试支付失败场景 | Implement the Python class `Test_zhifu_statues` described below.
Class description:
单元测试用例
Method signatures and docstrings:
- def test_01(self): 测试支付成功场景
- def test_02(self): 测试支付失败场景
<|skeleton|>
class Test_zhifu_statues:
"""单元测试用例"""
def test_01(self):
"""测试支付成功场景"""
<|body_0|>
def t... | a58fdcc3eb0b52c94e50a110b4f1a053c6fa0ab2 | <|skeleton|>
class Test_zhifu_statues:
"""单元测试用例"""
def test_01(self):
"""测试支付成功场景"""
<|body_0|>
def test_02(self):
"""测试支付失败场景"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Test_zhifu_statues:
"""单元测试用例"""
def test_01(self):
"""测试支付成功场景"""
temple.zhifu = mock.Mock(return_value={'result': 'success', 'reason': 'null'})
statues = temple.zhifu_statues()
print(statues)
self.assertEqual(statues, '支付成功')
def test_02(self):
"""测试... | the_stack_v2_python_sparse | testcase/test_temple.py | yangyilin182/IotInterFace | train | 0 |
ca12abef2b82c34bef6c15b6bf77f568ac0aa3bf | [
"self.condition_tissue = ConditionTissue.query.filter(ConditionTissue.in_tree == 1).all()\nmerged_conditions = list(merge(*[json.loads(ct.data)['order'] for ct in self.condition_tissue]))\nself.conditions = list(reversed(list(OrderedDict.fromkeys(reversed(merged_conditions)))))\nself.species_to_condition = {ct.spec... | <|body_start_0|>
self.condition_tissue = ConditionTissue.query.filter(ConditionTissue.in_tree == 1).all()
merged_conditions = list(merge(*[json.loads(ct.data)['order'] for ct in self.condition_tissue]))
self.conditions = list(reversed(list(OrderedDict.fromkeys(reversed(merged_conditions)))))
... | CrossSpeciesExpressionProfile | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CrossSpeciesExpressionProfile:
def __init__(self):
"""Function that gets required data, checks for which species there is a comparative profile available and stores details to convert the profiles for that species."""
<|body_0|>
def get_data(self, *sequence_ids):
"""... | stack_v2_sparse_classes_10k_train_004805 | 5,795 | permissive | [
{
"docstring": "Function that gets required data, checks for which species there is a comparative profile available and stores details to convert the profiles for that species.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Gets comparative profiles for a set of seque... | 3 | stack_v2_sparse_classes_30k_train_002592 | Implement the Python class `CrossSpeciesExpressionProfile` described below.
Class description:
Implement the CrossSpeciesExpressionProfile class.
Method signatures and docstrings:
- def __init__(self): Function that gets required data, checks for which species there is a comparative profile available and stores detai... | Implement the Python class `CrossSpeciesExpressionProfile` described below.
Class description:
Implement the CrossSpeciesExpressionProfile class.
Method signatures and docstrings:
- def __init__(self): Function that gets required data, checks for which species there is a comparative profile available and stores detai... | 25d0187030bcb85bb99125af4fd0c0c11aa012cb | <|skeleton|>
class CrossSpeciesExpressionProfile:
def __init__(self):
"""Function that gets required data, checks for which species there is a comparative profile available and stores details to convert the profiles for that species."""
<|body_0|>
def get_data(self, *sequence_ids):
"""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CrossSpeciesExpressionProfile:
def __init__(self):
"""Function that gets required data, checks for which species there is a comparative profile available and stores details to convert the profiles for that species."""
self.condition_tissue = ConditionTissue.query.filter(ConditionTissue.in_tree... | the_stack_v2_python_sparse | conekt/models/expression/cross_species_profile.py | sepro/CoNekT | train | 23 | |
127b536d18395e0b543d55cd05265cf700cf6b83 | [
"ENFORCER.enforce_call(action='identity:check_grant', build_target=functools.partial(_build_enforcement_target_attr, domain_id=domain_id, group_id=group_id, role_id=role_id))\nPROVIDERS.assignment_api.get_grant(domain_id=domain_id, group_id=group_id, role_id=role_id, inherited_to_projects=True)\nreturn (None, http_... | <|body_start_0|>
ENFORCER.enforce_call(action='identity:check_grant', build_target=functools.partial(_build_enforcement_target_attr, domain_id=domain_id, group_id=group_id, role_id=role_id))
PROVIDERS.assignment_api.get_grant(domain_id=domain_id, group_id=group_id, role_id=role_id, inherited_to_projects... | OSInheritDomainGroupRolesResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OSInheritDomainGroupRolesResource:
def get(self, domain_id, group_id, role_id):
"""Check for an inherited grant for a group on a domain. GET/HEAD /OS-INHERIT/domains/{domain_id}/groups/{group_id} /roles/{role_id}/inherited_to_projects"""
<|body_0|>
def put(self, domain_id, g... | stack_v2_sparse_classes_10k_train_004806 | 19,022 | permissive | [
{
"docstring": "Check for an inherited grant for a group on a domain. GET/HEAD /OS-INHERIT/domains/{domain_id}/groups/{group_id} /roles/{role_id}/inherited_to_projects",
"name": "get",
"signature": "def get(self, domain_id, group_id, role_id)"
},
{
"docstring": "Create an inherited grant for a g... | 3 | stack_v2_sparse_classes_30k_train_005331 | Implement the Python class `OSInheritDomainGroupRolesResource` described below.
Class description:
Implement the OSInheritDomainGroupRolesResource class.
Method signatures and docstrings:
- def get(self, domain_id, group_id, role_id): Check for an inherited grant for a group on a domain. GET/HEAD /OS-INHERIT/domains/... | Implement the Python class `OSInheritDomainGroupRolesResource` described below.
Class description:
Implement the OSInheritDomainGroupRolesResource class.
Method signatures and docstrings:
- def get(self, domain_id, group_id, role_id): Check for an inherited grant for a group on a domain. GET/HEAD /OS-INHERIT/domains/... | 03a0a8146a78682ede9eca12a5a7fdacde2035c8 | <|skeleton|>
class OSInheritDomainGroupRolesResource:
def get(self, domain_id, group_id, role_id):
"""Check for an inherited grant for a group on a domain. GET/HEAD /OS-INHERIT/domains/{domain_id}/groups/{group_id} /roles/{role_id}/inherited_to_projects"""
<|body_0|>
def put(self, domain_id, g... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OSInheritDomainGroupRolesResource:
def get(self, domain_id, group_id, role_id):
"""Check for an inherited grant for a group on a domain. GET/HEAD /OS-INHERIT/domains/{domain_id}/groups/{group_id} /roles/{role_id}/inherited_to_projects"""
ENFORCER.enforce_call(action='identity:check_grant', bui... | the_stack_v2_python_sparse | keystone/api/os_inherit.py | sapcc/keystone | train | 0 | |
926d3a73aacb66b53a1851730cb63376c0a60563 | [
"res = []\nself.dfs(candidates, target, 0, [], res)\nreturn res",
"if target < 0:\n return\nif target == 0:\n res.append(path)\n return\nfor i in range(index, len(nums)):\n self.dfs(nums, target - nums[i], i, path + [nums[i]], res)"
] | <|body_start_0|>
res = []
self.dfs(candidates, target, 0, [], res)
return res
<|end_body_0|>
<|body_start_1|>
if target < 0:
return
if target == 0:
res.append(path)
return
for i in range(index, len(nums)):
self.dfs(nums, ta... | Runtime: 96 ms, faster than 52.91% of Python3 online submissions for Combination Sum. Memory Usage: 13.1 MB, less than 5.14% of Python3 online submissions for Combination Sum. | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Runtime: 96 ms, faster than 52.91% of Python3 online submissions for Combination Sum. Memory Usage: 13.1 MB, less than 5.14% of Python3 online submissions for Combination Sum."""
def combinationSum(self, candidates, target):
"""Given a set of candidate numbers (candidate... | stack_v2_sparse_classes_10k_train_004807 | 2,337 | no_license | [
{
"docstring": "Given a set of candidate numbers (candidates) (without duplicates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target. The same repeated number may be chosen from candidates unlimited number of times. Note: All numbers (including t... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Runtime: 96 ms, faster than 52.91% of Python3 online submissions for Combination Sum. Memory Usage: 13.1 MB, less than 5.14% of Python3 online submissions for Combination Sum.
Method signatures and docstrings:
- def combinationSum(self, candida... | Implement the Python class `Solution` described below.
Class description:
Runtime: 96 ms, faster than 52.91% of Python3 online submissions for Combination Sum. Memory Usage: 13.1 MB, less than 5.14% of Python3 online submissions for Combination Sum.
Method signatures and docstrings:
- def combinationSum(self, candida... | 01fe893ba2e37c9bda79e3081c556698f0b6d2f0 | <|skeleton|>
class Solution:
"""Runtime: 96 ms, faster than 52.91% of Python3 online submissions for Combination Sum. Memory Usage: 13.1 MB, less than 5.14% of Python3 online submissions for Combination Sum."""
def combinationSum(self, candidates, target):
"""Given a set of candidate numbers (candidate... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
"""Runtime: 96 ms, faster than 52.91% of Python3 online submissions for Combination Sum. Memory Usage: 13.1 MB, less than 5.14% of Python3 online submissions for Combination Sum."""
def combinationSum(self, candidates, target):
"""Given a set of candidate numbers (candidates) (without d... | the_stack_v2_python_sparse | LeetCode/39_combination_sum.py | KKosukeee/CodingQuestions | train | 1 |
e4d01b0e01d0c69f5a144e96a45c09824890e48d | [
"if not envelopes:\n return 0\nenvelopes = sorted(envelopes, key=lambda x: (x[0], -x[1]))\nenvelopes_height = [x[1] for x in envelopes]\nreturn self.LIS(envelopes_height)",
"def binary_search(l, r, nums, target):\n while r - l > 1:\n m = l + (r - l) // 2\n if nums[m] >= target:\n r ... | <|body_start_0|>
if not envelopes:
return 0
envelopes = sorted(envelopes, key=lambda x: (x[0], -x[1]))
envelopes_height = [x[1] for x in envelopes]
return self.LIS(envelopes_height)
<|end_body_0|>
<|body_start_1|>
def binary_search(l, r, nums, target):
wh... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
<|body_0|>
def LIS(self, nums):
"""Longest increasing sequences"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not envelopes:
return 0
... | stack_v2_sparse_classes_10k_train_004808 | 2,063 | no_license | [
{
"docstring": ":type envelopes: List[List[int]] :rtype: int",
"name": "maxEnvelopes",
"signature": "def maxEnvelopes(self, envelopes)"
},
{
"docstring": "Longest increasing sequences",
"name": "LIS",
"signature": "def LIS(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006068 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxEnvelopes(self, envelopes): :type envelopes: List[List[int]] :rtype: int
- def LIS(self, nums): Longest increasing sequences | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxEnvelopes(self, envelopes): :type envelopes: List[List[int]] :rtype: int
- def LIS(self, nums): Longest increasing sequences
<|skeleton|>
class Solution:
def maxEnve... | 4de7d3ea9aaa2e0cb2d934816036ced2357205ac | <|skeleton|>
class Solution:
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
<|body_0|>
def LIS(self, nums):
"""Longest increasing sequences"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
if not envelopes:
return 0
envelopes = sorted(envelopes, key=lambda x: (x[0], -x[1]))
envelopes_height = [x[1] for x in envelopes]
return self.LIS(envelopes_heigh... | the_stack_v2_python_sparse | 354_russian_doll_envelopes.py | nshung2010/leet_code | train | 0 | |
90f8cdfe86610dee7bfa2914e5a9744d2505d6cf | [
"from h2o.expr import ExprNode\nresult = ExprNode('tree.update.weights', self, frame, weights_column)._eval_driver('scalar')._cache._data\nif result != 'OK':\n warn(result)",
"from h2o.expr import ExprNode\nresult = ExprNode('set.calibration.model', self, calibration_model)._eval_driver('scalar')._cache._data\... | <|body_start_0|>
from h2o.expr import ExprNode
result = ExprNode('tree.update.weights', self, frame, weights_column)._eval_driver('scalar')._cache._data
if result != 'OK':
warn(result)
<|end_body_0|>
<|body_start_1|>
from h2o.expr import ExprNode
result = ExprNode('s... | SupervisedTrees | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SupervisedTrees:
def _update_tree_weights(self, frame, weights_column):
"""Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-po... | stack_v2_sparse_classes_10k_train_004809 | 2,355 | permissive | [
{
"docstring": "Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-population of the training dataset. :param frame: frame that will be used to re-popul... | 2 | null | Implement the Python class `SupervisedTrees` described below.
Class description:
Implement the SupervisedTrees class.
Method signatures and docstrings:
- def _update_tree_weights(self, frame, weights_column): Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contributio... | Implement the Python class `SupervisedTrees` described below.
Class description:
Implement the SupervisedTrees class.
Method signatures and docstrings:
- def _update_tree_weights(self, frame, weights_column): Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contributio... | d817ab90c8c47f6787604a0b9639b66234158228 | <|skeleton|>
class SupervisedTrees:
def _update_tree_weights(self, frame, weights_column):
"""Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-po... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SupervisedTrees:
def _update_tree_weights(self, frame, weights_column):
"""Re-calculates tree-node weights based on provided dataset. Modifying node weights will affect how contribution predictions (Shapley values) are calculated. This can be used to explain the model on a curated sub-population of th... | the_stack_v2_python_sparse | h2o-py/h2o/model/extensions/supervised_trees.py | h2oai/h2o-3 | train | 6,872 | |
c63ea35c319f69c8a17c262c620a9577e8fb7188 | [
"wx.Dialog.__init__(self, None, title='Login')\nself.logged_in = False\nuser_sizer = wx.BoxSizer(wx.HORIZONTAL)\nuser_lbl = wx.StaticText(self, label='Username:')\nuser_sizer.Add(user_lbl, 0, wx.ALL | wx.CENTER, 5)\nself.user = wx.TextCtrl(self)\nuser_sizer.Add(self.user, 0, wx.ALL, 5)\np_sizer = wx.BoxSizer(wx.HOR... | <|body_start_0|>
wx.Dialog.__init__(self, None, title='Login')
self.logged_in = False
user_sizer = wx.BoxSizer(wx.HORIZONTAL)
user_lbl = wx.StaticText(self, label='Username:')
user_sizer.Add(user_lbl, 0, wx.ALL | wx.CENTER, 5)
self.user = wx.TextCtrl(self)
user_si... | Class to define login dialog | LoginDialog | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginDialog:
"""Class to define login dialog"""
def __init__(self):
"""Constructor"""
<|body_0|>
def onLogin(self, event):
"""Check credentials and login"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
wx.Dialog.__init__(self, None, title='Login... | stack_v2_sparse_classes_10k_train_004810 | 2,868 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Check credentials and login",
"name": "onLogin",
"signature": "def onLogin(self, event)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005358 | Implement the Python class `LoginDialog` described below.
Class description:
Class to define login dialog
Method signatures and docstrings:
- def __init__(self): Constructor
- def onLogin(self, event): Check credentials and login | Implement the Python class `LoginDialog` described below.
Class description:
Class to define login dialog
Method signatures and docstrings:
- def __init__(self): Constructor
- def onLogin(self, event): Check credentials and login
<|skeleton|>
class LoginDialog:
"""Class to define login dialog"""
def __init_... | b723ca7a0668bd758d629c5d19f5b1d17778088f | <|skeleton|>
class LoginDialog:
"""Class to define login dialog"""
def __init__(self):
"""Constructor"""
<|body_0|>
def onLogin(self, event):
"""Check credentials and login"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LoginDialog:
"""Class to define login dialog"""
def __init__(self):
"""Constructor"""
wx.Dialog.__init__(self, None, title='Login')
self.logged_in = False
user_sizer = wx.BoxSizer(wx.HORIZONTAL)
user_lbl = wx.StaticText(self, label='Username:')
user_sizer.A... | the_stack_v2_python_sparse | Programming Foundations with Python/src/cn/careerwinner/sap/loginPY.py | BlessedAndy/Programming-Foundations-with-Python | train | 1 |
0bb08454bae8a940362ff26669f559e5697bb62d | [
"headers = super().request_headers(stream_state, **kwargs)\nheaders.update({'X-RestLi-Protocol-Version': '2.0.0'} if self.accounts else {})\nreturn headers",
"params = super().request_params(stream_state, stream_slice, next_page_token)\nif self.accounts:\n params['search'] = f'(id:(values:List({self.accounts})... | <|body_start_0|>
headers = super().request_headers(stream_state, **kwargs)
headers.update({'X-RestLi-Protocol-Version': '2.0.0'} if self.accounts else {})
return headers
<|end_body_0|>
<|body_start_1|>
params = super().request_params(stream_state, stream_slice, next_page_token)
... | Get Accounts data. More info about LinkedIn Ads / Accounts: https://learn.microsoft.com/en-us/linkedin/marketing/integrations/ads/account-structure/create-and-manage-accounts?tabs=http&view=li-lms-2023-05#search-for-accounts | Accounts | [
"MIT",
"LicenseRef-scancode-free-unknown",
"Elastic-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Accounts:
"""Get Accounts data. More info about LinkedIn Ads / Accounts: https://learn.microsoft.com/en-us/linkedin/marketing/integrations/ads/account-structure/create-and-manage-accounts?tabs=http&view=li-lms-2023-05#search-for-accounts"""
def request_headers(self, stream_state: Mapping[str... | stack_v2_sparse_classes_10k_train_004811 | 22,426 | permissive | [
{
"docstring": "If account_ids are specified as user's input from configuration, we must use MODIFIED header: {'X-RestLi-Protocol-Version': '2.0.0'}",
"name": "request_headers",
"signature": "def request_headers(self, stream_state: Mapping[str, Any], **kwargs) -> Mapping[str, Any]"
},
{
"docstri... | 2 | null | Implement the Python class `Accounts` described below.
Class description:
Get Accounts data. More info about LinkedIn Ads / Accounts: https://learn.microsoft.com/en-us/linkedin/marketing/integrations/ads/account-structure/create-and-manage-accounts?tabs=http&view=li-lms-2023-05#search-for-accounts
Method signatures a... | Implement the Python class `Accounts` described below.
Class description:
Get Accounts data. More info about LinkedIn Ads / Accounts: https://learn.microsoft.com/en-us/linkedin/marketing/integrations/ads/account-structure/create-and-manage-accounts?tabs=http&view=li-lms-2023-05#search-for-accounts
Method signatures a... | 258a8eb683634a9f9b7821c9a92d1b70c5389a10 | <|skeleton|>
class Accounts:
"""Get Accounts data. More info about LinkedIn Ads / Accounts: https://learn.microsoft.com/en-us/linkedin/marketing/integrations/ads/account-structure/create-and-manage-accounts?tabs=http&view=li-lms-2023-05#search-for-accounts"""
def request_headers(self, stream_state: Mapping[str... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Accounts:
"""Get Accounts data. More info about LinkedIn Ads / Accounts: https://learn.microsoft.com/en-us/linkedin/marketing/integrations/ads/account-structure/create-and-manage-accounts?tabs=http&view=li-lms-2023-05#search-for-accounts"""
def request_headers(self, stream_state: Mapping[str, Any], **kwa... | the_stack_v2_python_sparse | airbyte-integrations/connectors/source-linkedin-ads/source_linkedin_ads/streams.py | thomas-vl/airbyte | train | 1 |
0505504dbb08a78ebc45dc0936873653dadc00db | [
"aspect = Aspect.query.get(aspect_id)\nif aspect is None:\n return abort(HTTPStatus.NOT_FOUND, message='Aspect is not found')\nif aspect.image_path is None:\n return abort(HTTPStatus.NOT_FOUND, 'Aspect image is not found')\nreturn file_storage.download(file_storage.FileCategory.AspectImage, aspect.image_path)... | <|body_start_0|>
aspect = Aspect.query.get(aspect_id)
if aspect is None:
return abort(HTTPStatus.NOT_FOUND, message='Aspect is not found')
if aspect.image_path is None:
return abort(HTTPStatus.NOT_FOUND, 'Aspect image is not found')
return file_storage.download(fi... | AspectImageResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AspectImageResource:
def get(self, aspect_id):
"""Get aspect image"""
<|body_0|>
def put(self, aspect_id):
"""Replace aspect image * User can set the aspect image **if it does not exists**. This is done to set the image after creating the aspect * User with permissio... | stack_v2_sparse_classes_10k_train_004812 | 2,266 | permissive | [
{
"docstring": "Get aspect image",
"name": "get",
"signature": "def get(self, aspect_id)"
},
{
"docstring": "Replace aspect image * User can set the aspect image **if it does not exists**. This is done to set the image after creating the aspect * User with permission to **\"edit aspects\"** can ... | 2 | stack_v2_sparse_classes_30k_train_005011 | Implement the Python class `AspectImageResource` described below.
Class description:
Implement the AspectImageResource class.
Method signatures and docstrings:
- def get(self, aspect_id): Get aspect image
- def put(self, aspect_id): Replace aspect image * User can set the aspect image **if it does not exists**. This ... | Implement the Python class `AspectImageResource` described below.
Class description:
Implement the AspectImageResource class.
Method signatures and docstrings:
- def get(self, aspect_id): Get aspect image
- def put(self, aspect_id): Replace aspect image * User can set the aspect image **if it does not exists**. This ... | dce87ffe395ae4bd08b47f28e07594e1889da819 | <|skeleton|>
class AspectImageResource:
def get(self, aspect_id):
"""Get aspect image"""
<|body_0|>
def put(self, aspect_id):
"""Replace aspect image * User can set the aspect image **if it does not exists**. This is done to set the image after creating the aspect * User with permissio... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AspectImageResource:
def get(self, aspect_id):
"""Get aspect image"""
aspect = Aspect.query.get(aspect_id)
if aspect is None:
return abort(HTTPStatus.NOT_FOUND, message='Aspect is not found')
if aspect.image_path is None:
return abort(HTTPStatus.NOT_FOUN... | the_stack_v2_python_sparse | src/backend/app/api/public/aspects/aspect/aspect_image.py | aimanow/sft | train | 0 | |
a661bd2bb893b8243363024ff444a2e2514b8755 | [
"validator = UserCreateSchema()\ntry:\n loaded_data = validator.load(data)\nexcept ValidationError as error:\n raise UserControllerException(error.messages)\nloaded_data['password'] = hashpw(loaded_data['password'].encode('utf8'), gensalt())\nloaded_data.pop('confirm_password')\nuser = User(public_id=str(uuid... | <|body_start_0|>
validator = UserCreateSchema()
try:
loaded_data = validator.load(data)
except ValidationError as error:
raise UserControllerException(error.messages)
loaded_data['password'] = hashpw(loaded_data['password'].encode('utf8'), gensalt())
loade... | Controller class for user related data manipulations. | UserController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserController:
"""Controller class for user related data manipulations."""
def create_user(self, data):
"""Creates a new user record in the database. Raises: - UserControllerError: if validation fails; if is unable to save the new record into the database due to an integrity error. ... | stack_v2_sparse_classes_10k_train_004813 | 3,200 | no_license | [
{
"docstring": "Creates a new user record in the database. Raises: - UserControllerError: if validation fails; if is unable to save the new record into the database due to an integrity error. Args: - data (dict): Map of user data to be validated and further processed as a User instance. Returns: - user (app.mod... | 3 | stack_v2_sparse_classes_30k_train_000476 | Implement the Python class `UserController` described below.
Class description:
Controller class for user related data manipulations.
Method signatures and docstrings:
- def create_user(self, data): Creates a new user record in the database. Raises: - UserControllerError: if validation fails; if is unable to save the... | Implement the Python class `UserController` described below.
Class description:
Controller class for user related data manipulations.
Method signatures and docstrings:
- def create_user(self, data): Creates a new user record in the database. Raises: - UserControllerError: if validation fails; if is unable to save the... | fc16ecc301c38271767f5a581d917ec6196ff14a | <|skeleton|>
class UserController:
"""Controller class for user related data manipulations."""
def create_user(self, data):
"""Creates a new user record in the database. Raises: - UserControllerError: if validation fails; if is unable to save the new record into the database due to an integrity error. ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserController:
"""Controller class for user related data manipulations."""
def create_user(self, data):
"""Creates a new user record in the database. Raises: - UserControllerError: if validation fails; if is unable to save the new record into the database due to an integrity error. Args: - data ... | the_stack_v2_python_sparse | app/controllers/user.py | rqroz/obd-dashboard | train | 3 |
0a39d7e8fe212f64f06a1c50090714b50567b231 | [
"if not root:\n return\nself.recoverTree(root.left)\nif self.lastVisited > root.val:\n if not self.firstMisplaced:\n self.firstMisplaced = root\n else:\n self.secondMisplaced = root\nself.lastVisited = root.val\nself.recoverTree(root.right)\nif self.firstMisplaced and self.secondMisplaced:\n ... | <|body_start_0|>
if not root:
return
self.recoverTree(root.left)
if self.lastVisited > root.val:
if not self.firstMisplaced:
self.firstMisplaced = root
else:
self.secondMisplaced = root
self.lastVisited = root.val
... | 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."""
<|body_0|>
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
... | stack_v2_sparse_classes_10k_train_004814 | 2,119 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.",
"name": "recoverTree",
"signature": "def recoverTree(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.",
"name": "re... | 3 | null | 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.
- def recoverTree(self, root): :type root: TreeNode :rtype: v... | 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.
- def recoverTree(self, root): :type root: TreeNode :rtype: v... | d953abe2c9680f636563e76287d2f907e90ced63 | <|skeleton|>
class Solution:
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|body_0|>
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def recoverTree(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
if not root:
return
self.recoverTree(root.left)
if self.lastVisited > root.val:
if not self.firstMisplaced:
... | the_stack_v2_python_sparse | Python_leetcode/99_recover_binary_search_tree.py | xiangcao/Leetcode | train | 0 | |
73bb953dbd54108ddd2616a4f9d8bbe940097fe9 | [
"super().__init__()\nself.length = length\nself.k0 = k0\nself.use_pi = use_pi\nself.use_input = use_input",
"batch_shape = inputs.shape[:-1]\nnum_inputs = inputs.shape[-1]\ninputs = inputs.view(-1, 1, num_inputs)\nfactors = (2.0 ** torch.arange(self.k0, self.k0 + self.length).float().cuda()).view(1, -1, 1)\nif se... | <|body_start_0|>
super().__init__()
self.length = length
self.k0 = k0
self.use_pi = use_pi
self.use_input = use_input
<|end_body_0|>
<|body_start_1|>
batch_shape = inputs.shape[:-1]
num_inputs = inputs.shape[-1]
inputs = inputs.view(-1, 1, num_inputs)
... | Fourier positional embedding. Emb(x) = [sin(2^k Pi x), cos(2^k Pi x), sin(2^(k+1) Pi x), cos(2^(k+1) Pi x), ..., sin(2^(k+L-1) Pi x), cos(2^(k+L-1) Pi x)], where x is the input tensor. | FourierEmbedding | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FourierEmbedding:
"""Fourier positional embedding. Emb(x) = [sin(2^k Pi x), cos(2^k Pi x), sin(2^(k+1) Pi x), cos(2^(k+1) Pi x), ..., sin(2^(k+L-1) Pi x), cos(2^(k+L-1) Pi x)], where x is the input tensor."""
def __init__(self, length: int, k0: float=0.0, use_pi: bool=True, use_input: bool=F... | stack_v2_sparse_classes_10k_train_004815 | 4,949 | permissive | [
{
"docstring": "Initialize a Fourier embedding function. Args: length (float): the length of the embedding. k0 (float): the starting exponential of the embedding. Default: 0. use_pi (bool): if True, use pi in the embedding. Default: True. use_input (bool): if True, return the input vector in the embedding. Defa... | 2 | stack_v2_sparse_classes_30k_train_001719 | Implement the Python class `FourierEmbedding` described below.
Class description:
Fourier positional embedding. Emb(x) = [sin(2^k Pi x), cos(2^k Pi x), sin(2^(k+1) Pi x), cos(2^(k+1) Pi x), ..., sin(2^(k+L-1) Pi x), cos(2^(k+L-1) Pi x)], where x is the input tensor.
Method signatures and docstrings:
- def __init__(se... | Implement the Python class `FourierEmbedding` described below.
Class description:
Fourier positional embedding. Emb(x) = [sin(2^k Pi x), cos(2^k Pi x), sin(2^(k+1) Pi x), cos(2^(k+1) Pi x), ..., sin(2^(k+L-1) Pi x), cos(2^(k+L-1) Pi x)], where x is the input tensor.
Method signatures and docstrings:
- def __init__(se... | 29c1c02134c20a14337458d18826e4a6f80e844e | <|skeleton|>
class FourierEmbedding:
"""Fourier positional embedding. Emb(x) = [sin(2^k Pi x), cos(2^k Pi x), sin(2^(k+1) Pi x), cos(2^(k+1) Pi x), ..., sin(2^(k+L-1) Pi x), cos(2^(k+L-1) Pi x)], where x is the input tensor."""
def __init__(self, length: int, k0: float=0.0, use_pi: bool=True, use_input: bool=F... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FourierEmbedding:
"""Fourier positional embedding. Emb(x) = [sin(2^k Pi x), cos(2^k Pi x), sin(2^(k+1) Pi x), cos(2^(k+1) Pi x), ..., sin(2^(k+L-1) Pi x), cos(2^(k+L-1) Pi x)], where x is the input tensor."""
def __init__(self, length: int, k0: float=0.0, use_pi: bool=True, use_input: bool=False) -> None... | the_stack_v2_python_sparse | vision3d/layers/embedding.py | qinzheng93/vision3d | train | 20 |
6804043f2870e68ae5d0d4618d68b40dc09eadd9 | [
"for file, phase_sequence, output_signal in self.known_values:\n intcode_program = open(expanduser('~/code/aoc2019/07/%s' % file))\n mem = list(map(int, intcode_program.read().split(',')))\n result = intcode_computer.amplification_circuit(mem, phase_sequence)\n self.assertEqual(output_signal, result)",
... | <|body_start_0|>
for file, phase_sequence, output_signal in self.known_values:
intcode_program = open(expanduser('~/code/aoc2019/07/%s' % file))
mem = list(map(int, intcode_program.read().split(',')))
result = intcode_computer.amplification_circuit(mem, phase_sequence)
... | KnownValues | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KnownValues:
def test_amplification_circuit(self):
"""amplication_circuit should give known result with known input"""
<|body_0|>
def test_feedback_loop(self):
"""feedback_loop should give known result with known input"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_10k_train_004816 | 1,426 | no_license | [
{
"docstring": "amplication_circuit should give known result with known input",
"name": "test_amplification_circuit",
"signature": "def test_amplification_circuit(self)"
},
{
"docstring": "feedback_loop should give known result with known input",
"name": "test_feedback_loop",
"signature"... | 2 | stack_v2_sparse_classes_30k_train_004297 | Implement the Python class `KnownValues` described below.
Class description:
Implement the KnownValues class.
Method signatures and docstrings:
- def test_amplification_circuit(self): amplication_circuit should give known result with known input
- def test_feedback_loop(self): feedback_loop should give known result w... | Implement the Python class `KnownValues` described below.
Class description:
Implement the KnownValues class.
Method signatures and docstrings:
- def test_amplification_circuit(self): amplication_circuit should give known result with known input
- def test_feedback_loop(self): feedback_loop should give known result w... | 98b6d2049e2331c2583d47d05061690b87ea0f2b | <|skeleton|>
class KnownValues:
def test_amplification_circuit(self):
"""amplication_circuit should give known result with known input"""
<|body_0|>
def test_feedback_loop(self):
"""feedback_loop should give known result with known input"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class KnownValues:
def test_amplification_circuit(self):
"""amplication_circuit should give known result with known input"""
for file, phase_sequence, output_signal in self.known_values:
intcode_program = open(expanduser('~/code/aoc2019/07/%s' % file))
mem = list(map(int, int... | the_stack_v2_python_sparse | 07/intcode_test.py | hinzed1127/aoc2019 | train | 0 | |
a82b9c3b0ccd9a8e17c5328e965f7d2e2bc6ce47 | [
"if len(s) < (1 << k) + k - 1:\n return False\ncur = int(s[:k], base=2)\ncodes = set([cur])\nbegin = 0\nend = k\nwhile len(codes) != 2 ** k and end < len(s):\n cur = (cur - 2 ** (k - 1) * int(s[begin]) << 1) + int(s[end])\n codes.add(cur)\n end += 1\n begin += 1\nreturn len(codes) == 2 ** k",
"code... | <|body_start_0|>
if len(s) < (1 << k) + k - 1:
return False
cur = int(s[:k], base=2)
codes = set([cur])
begin = 0
end = k
while len(codes) != 2 ** k and end < len(s):
cur = (cur - 2 ** (k - 1) * int(s[begin]) << 1) + int(s[end])
codes.a... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hasAllCodes(self, s, k):
""":type s: str :type k: int :rtype: bool"""
<|body_0|>
def hasAllCodes1(self, s, k):
""":type s: str :type k: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) < (1 << k) + k - 1:
... | stack_v2_sparse_classes_10k_train_004817 | 1,032 | no_license | [
{
"docstring": ":type s: str :type k: int :rtype: bool",
"name": "hasAllCodes",
"signature": "def hasAllCodes(self, s, k)"
},
{
"docstring": ":type s: str :type k: int :rtype: bool",
"name": "hasAllCodes1",
"signature": "def hasAllCodes1(self, s, k)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasAllCodes(self, s, k): :type s: str :type k: int :rtype: bool
- def hasAllCodes1(self, s, k): :type s: str :type k: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasAllCodes(self, s, k): :type s: str :type k: int :rtype: bool
- def hasAllCodes1(self, s, k): :type s: str :type k: int :rtype: bool
<|skeleton|>
class Solution:
def ... | 9d394cd2862703cfb7a7b505b35deda7450a692e | <|skeleton|>
class Solution:
def hasAllCodes(self, s, k):
""":type s: str :type k: int :rtype: bool"""
<|body_0|>
def hasAllCodes1(self, s, k):
""":type s: str :type k: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def hasAllCodes(self, s, k):
""":type s: str :type k: int :rtype: bool"""
if len(s) < (1 << k) + k - 1:
return False
cur = int(s[:k], base=2)
codes = set([cur])
begin = 0
end = k
while len(codes) != 2 ** k and end < len(s):
... | the_stack_v2_python_sparse | 1461.检查一个字符串是否包含所有长度为-k-的二进制子串.py | Ezi4Zy/leetcode | train | 0 | |
09b97aed0991099d58d87bc3c2f01ce25eb3db39 | [
"super(DuelingNetworkMLP3, self).__init__()\nself._device = device\nself.fc1 = nn.Linear(in_features=n_states, out_features=n_hiddens).to(self._device)\nself.fc2 = nn.Linear(in_features=n_hiddens, out_features=n_hiddens).to(self._device)\nself.fc3_adv = nn.Linear(in_features=n_hiddens, out_features=n_actions).to(se... | <|body_start_0|>
super(DuelingNetworkMLP3, self).__init__()
self._device = device
self.fc1 = nn.Linear(in_features=n_states, out_features=n_hiddens).to(self._device)
self.fc2 = nn.Linear(in_features=n_hiddens, out_features=n_hiddens).to(self._device)
self.fc3_adv = nn.Linear(in_f... | Dueling Network のネットワーク構成 PyTorch の nn.Module を継承して実装 [public] fc1 : [nn.Linear] 入力層 fc2 : [nn.Linear] 隠れ層 fc3_adv : [nn.Linear] アドバンテージ関数のネットワーク fc3_vfunc : [nn.Linear] 状態価値関数のネットワーク | DuelingNetworkMLP3 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DuelingNetworkMLP3:
"""Dueling Network のネットワーク構成 PyTorch の nn.Module を継承して実装 [public] fc1 : [nn.Linear] 入力層 fc2 : [nn.Linear] 隠れ層 fc3_adv : [nn.Linear] アドバンテージ関数のネットワーク fc3_vfunc : [nn.Linear] 状態価値関数のネットワーク"""
def __init__(self, device, n_states, n_hiddens, n_actions):
"""[Args] devi... | stack_v2_sparse_classes_10k_train_004818 | 2,523 | no_license | [
{
"docstring": "[Args] device : 使用デバイス n_states : 状態数 |S| / 入力ノード数に対応する。 n_actions : 状態数 |A| / 出力ノード数に対応する。",
"name": "__init__",
"signature": "def __init__(self, device, n_states, n_hiddens, n_actions)"
},
{
"docstring": "ネットワークの順方向での更新処理",
"name": "forward",
"signature": "def forward(s... | 2 | stack_v2_sparse_classes_30k_train_004317 | Implement the Python class `DuelingNetworkMLP3` described below.
Class description:
Dueling Network のネットワーク構成 PyTorch の nn.Module を継承して実装 [public] fc1 : [nn.Linear] 入力層 fc2 : [nn.Linear] 隠れ層 fc3_adv : [nn.Linear] アドバンテージ関数のネットワーク fc3_vfunc : [nn.Linear] 状態価値関数のネットワーク
Method signatures and docstrings:
- def __init__(s... | Implement the Python class `DuelingNetworkMLP3` described below.
Class description:
Dueling Network のネットワーク構成 PyTorch の nn.Module を継承して実装 [public] fc1 : [nn.Linear] 入力層 fc2 : [nn.Linear] 隠れ層 fc3_adv : [nn.Linear] アドバンテージ関数のネットワーク fc3_vfunc : [nn.Linear] 状態価値関数のネットワーク
Method signatures and docstrings:
- def __init__(s... | b0bae63db6183cbaee15d6a96499e40c482a517d | <|skeleton|>
class DuelingNetworkMLP3:
"""Dueling Network のネットワーク構成 PyTorch の nn.Module を継承して実装 [public] fc1 : [nn.Linear] 入力層 fc2 : [nn.Linear] 隠れ層 fc3_adv : [nn.Linear] アドバンテージ関数のネットワーク fc3_vfunc : [nn.Linear] 状態価値関数のネットワーク"""
def __init__(self, device, n_states, n_hiddens, n_actions):
"""[Args] devi... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DuelingNetworkMLP3:
"""Dueling Network のネットワーク構成 PyTorch の nn.Module を継承して実装 [public] fc1 : [nn.Linear] 入力層 fc2 : [nn.Linear] 隠れ層 fc3_adv : [nn.Linear] アドバンテージ関数のネットワーク fc3_vfunc : [nn.Linear] 状態価値関数のネットワーク"""
def __init__(self, device, n_states, n_hiddens, n_actions):
"""[Args] device : 使用デバイス n... | the_stack_v2_python_sparse | CartPole_DuelingNetwork_PyTorch_OpenAIGym/DuelingNetworkMLP3.py | Yagami360/ReinforcementLearning_Exercises | train | 14 |
cc49419d8ec219c24e76e28edf75c2aa94ab2ba2 | [
"java_params = list(self._java_obj.params())\nfrom pyspark.ml.param import Param\nfor java_param in java_params:\n java_param_name = java_param.name()\n if not hasattr(self, java_param_name):\n param = Param(self, java_param_name, java_param.doc())\n setattr(param, 'created_from_java_param', Tru... | <|body_start_0|>
java_params = list(self._java_obj.params())
from pyspark.ml.param import Param
for java_param in java_params:
java_param_name = java_param.name()
if not hasattr(self, java_param_name):
param = Param(self, java_param_name, java_param.doc())... | Mixin for overriding methods derived from JavaParams. | JavaParamsOverrides | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JavaParamsOverrides:
"""Mixin for overriding methods derived from JavaParams."""
def _create_params_from_java(self):
"""Create params that are defined in the Java obj but not here"""
<|body_0|>
def _transfer_params_from_java(self):
"""Transforms the embedded para... | stack_v2_sparse_classes_10k_train_004819 | 9,805 | no_license | [
{
"docstring": "Create params that are defined in the Java obj but not here",
"name": "_create_params_from_java",
"signature": "def _create_params_from_java(self)"
},
{
"docstring": "Transforms the embedded params from the companion Java object.",
"name": "_transfer_params_from_java",
"s... | 3 | stack_v2_sparse_classes_30k_train_002696 | Implement the Python class `JavaParamsOverrides` described below.
Class description:
Mixin for overriding methods derived from JavaParams.
Method signatures and docstrings:
- def _create_params_from_java(self): Create params that are defined in the Java obj but not here
- def _transfer_params_from_java(self): Transfo... | Implement the Python class `JavaParamsOverrides` described below.
Class description:
Mixin for overriding methods derived from JavaParams.
Method signatures and docstrings:
- def _create_params_from_java(self): Create params that are defined in the Java obj but not here
- def _transfer_params_from_java(self): Transfo... | 72d51e8e072fbeb5e2068d0a568fa4595282aa61 | <|skeleton|>
class JavaParamsOverrides:
"""Mixin for overriding methods derived from JavaParams."""
def _create_params_from_java(self):
"""Create params that are defined in the Java obj but not here"""
<|body_0|>
def _transfer_params_from_java(self):
"""Transforms the embedded para... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class JavaParamsOverrides:
"""Mixin for overriding methods derived from JavaParams."""
def _create_params_from_java(self):
"""Create params that are defined in the Java obj but not here"""
java_params = list(self._java_obj.params())
from pyspark.ml.param import Param
for java_pa... | the_stack_v2_python_sparse | docker/pyspark_lab/main/module/sparkxgb/xgboost.py | stansuo/BDSE12-Group3 | train | 6 |
dac48cb07221cd71d02e6381d08eea2b33a0ed82 | [
"self.use_wget = use_wget\nself.quic_binary_dir = quic_binary_dir\nself.quic_server_address = quic_server_address\nself.quic_server_port = quic_server_port\nif not use_wget and (not os.path.isfile(quic_binary_dir + '/quic_client')):\n raise IOError('There is no quic_client in the given dir: %s.' % quic_binary_di... | <|body_start_0|>
self.use_wget = use_wget
self.quic_binary_dir = quic_binary_dir
self.quic_server_address = quic_server_address
self.quic_server_port = quic_server_port
if not use_wget and (not os.path.isfile(quic_binary_dir + '/quic_client')):
raise IOError('There is... | PageloadExperiment | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PageloadExperiment:
def __init__(self, use_wget, quic_binary_dir, quic_server_address, quic_server_port):
"""Initialize PageloadExperiment. Args: use_wget: Whether to use wget. quic_binary_dir: Directory for quic_binary. quic_server_address: IP address of quic server. quic_server_port: P... | stack_v2_sparse_classes_10k_train_004820 | 6,722 | permissive | [
{
"docstring": "Initialize PageloadExperiment. Args: use_wget: Whether to use wget. quic_binary_dir: Directory for quic_binary. quic_server_address: IP address of quic server. quic_server_port: Port of the quic server.",
"name": "__init__",
"signature": "def __init__(self, use_wget, quic_binary_dir, qui... | 4 | null | Implement the Python class `PageloadExperiment` described below.
Class description:
Implement the PageloadExperiment class.
Method signatures and docstrings:
- def __init__(self, use_wget, quic_binary_dir, quic_server_address, quic_server_port): Initialize PageloadExperiment. Args: use_wget: Whether to use wget. quic... | Implement the Python class `PageloadExperiment` described below.
Class description:
Implement the PageloadExperiment class.
Method signatures and docstrings:
- def __init__(self, use_wget, quic_binary_dir, quic_server_address, quic_server_port): Initialize PageloadExperiment. Args: use_wget: Whether to use wget. quic... | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | <|skeleton|>
class PageloadExperiment:
def __init__(self, use_wget, quic_binary_dir, quic_server_address, quic_server_port):
"""Initialize PageloadExperiment. Args: use_wget: Whether to use wget. quic_binary_dir: Directory for quic_binary. quic_server_address: IP address of quic server. quic_server_port: P... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PageloadExperiment:
def __init__(self, use_wget, quic_binary_dir, quic_server_address, quic_server_port):
"""Initialize PageloadExperiment. Args: use_wget: Whether to use wget. quic_binary_dir: Directory for quic_binary. quic_server_address: IP address of quic server. quic_server_port: Port of the qui... | the_stack_v2_python_sparse | net/tools/quic/benchmark/run_client.py | chromium/chromium | train | 17,408 | |
6ba37f844aafe25216c328a80324aa8a695997fb | [
"if not hasattr(self, 'allEvents'):\n self.allEvents = Event.objects.filter(Q(instance_of=PublicEvent) | Q(instance_of=Series)).annotate(**self.get_annotations()).exclude(Q(status=Event.RegStatus.hidden) | Q(status=Event.RegStatus.regHidden) | Q(status=Event.RegStatus.linkOnly)).order_by(*self.get_ordering()).di... | <|body_start_0|>
if not hasattr(self, 'allEvents'):
self.allEvents = Event.objects.filter(Q(instance_of=PublicEvent) | Q(instance_of=Series)).annotate(**self.get_annotations()).exclude(Q(status=Event.RegStatus.hidden) | Q(status=Event.RegStatus.regHidden) | Q(status=Event.RegStatus.linkOnly)).order_... | RegisterView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegisterView:
def get_allEvents(self):
"""Exclude hidden and link-only events by default, as well as private events, etc. Additional restrictions are made on a per-plugin basis."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Add the event and series listing d... | stack_v2_sparse_classes_10k_train_004821 | 3,366 | permissive | [
{
"docstring": "Exclude hidden and link-only events by default, as well as private events, etc. Additional restrictions are made on a per-plugin basis.",
"name": "get_allEvents",
"signature": "def get_allEvents(self)"
},
{
"docstring": "Add the event and series listing data. If If \"today\" is s... | 2 | stack_v2_sparse_classes_30k_train_005532 | Implement the Python class `RegisterView` described below.
Class description:
Implement the RegisterView class.
Method signatures and docstrings:
- def get_allEvents(self): Exclude hidden and link-only events by default, as well as private events, etc. Additional restrictions are made on a per-plugin basis.
- def get... | Implement the Python class `RegisterView` described below.
Class description:
Implement the RegisterView class.
Method signatures and docstrings:
- def get_allEvents(self): Exclude hidden and link-only events by default, as well as private events, etc. Additional restrictions are made on a per-plugin basis.
- def get... | 19db3e83e76ea2002ee841989410d12d1e601023 | <|skeleton|>
class RegisterView:
def get_allEvents(self):
"""Exclude hidden and link-only events by default, as well as private events, etc. Additional restrictions are made on a per-plugin basis."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Add the event and series listing d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RegisterView:
def get_allEvents(self):
"""Exclude hidden and link-only events by default, as well as private events, etc. Additional restrictions are made on a per-plugin basis."""
if not hasattr(self, 'allEvents'):
self.allEvents = Event.objects.filter(Q(instance_of=PublicEvent) |... | the_stack_v2_python_sparse | danceschool/register/views.py | django-danceschool/django-danceschool | train | 40 | |
1ded29b013b3c8fc349828d6d63c7b41d569efb8 | [
"super(AutoAugmentation, self).__init__(n_level)\nself.policies = policies\nself.n_select = n_select",
"chosen_policies = random.sample(self.policies, k=self.n_select)\nfor name, pr, level in chain.from_iterable(chosen_policies):\n if random.random() > pr:\n continue\n img = self._apply_augment(img, ... | <|body_start_0|>
super(AutoAugmentation, self).__init__(n_level)
self.policies = policies
self.n_select = n_select
<|end_body_0|>
<|body_start_1|>
chosen_policies = random.sample(self.policies, k=self.n_select)
for name, pr, level in chain.from_iterable(chosen_policies):
... | Auto augmentation class. References: https://arxiv.org/pdf/1805.09501.pdf | AutoAugmentation | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutoAugmentation:
"""Auto augmentation class. References: https://arxiv.org/pdf/1805.09501.pdf"""
def __init__(self, policies: List[List[Tuple[str, float, int]]], n_select: int=1, n_level: int=10) -> None:
"""Initialize."""
<|body_0|>
def __call__(self, img: Image) -> Im... | stack_v2_sparse_classes_10k_train_004822 | 5,467 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, policies: List[List[Tuple[str, float, int]]], n_select: int=1, n_level: int=10) -> None"
},
{
"docstring": "Run augmentations.",
"name": "__call__",
"signature": "def __call__(self, img: Image) -> Image"
... | 2 | stack_v2_sparse_classes_30k_train_006845 | Implement the Python class `AutoAugmentation` described below.
Class description:
Auto augmentation class. References: https://arxiv.org/pdf/1805.09501.pdf
Method signatures and docstrings:
- def __init__(self, policies: List[List[Tuple[str, float, int]]], n_select: int=1, n_level: int=10) -> None: Initialize.
- def ... | Implement the Python class `AutoAugmentation` described below.
Class description:
Auto augmentation class. References: https://arxiv.org/pdf/1805.09501.pdf
Method signatures and docstrings:
- def __init__(self, policies: List[List[Tuple[str, float, int]]], n_select: int=1, n_level: int=10) -> None: Initialize.
- def ... | 88bcff70e93dd68058a5cf0dfeac119a57abc6de | <|skeleton|>
class AutoAugmentation:
"""Auto augmentation class. References: https://arxiv.org/pdf/1805.09501.pdf"""
def __init__(self, policies: List[List[Tuple[str, float, int]]], n_select: int=1, n_level: int=10) -> None:
"""Initialize."""
<|body_0|>
def __call__(self, img: Image) -> Im... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AutoAugmentation:
"""Auto augmentation class. References: https://arxiv.org/pdf/1805.09501.pdf"""
def __init__(self, policies: List[List[Tuple[str, float, int]]], n_select: int=1, n_level: int=10) -> None:
"""Initialize."""
super(AutoAugmentation, self).__init__(n_level)
self.poli... | the_stack_v2_python_sparse | src/augmentation/methods.py | scott-mao/DenseDepth_Pruning | train | 1 |
55d16712ad6119f64aae84bbef6b200c4e493e01 | [
"import re\nregex = '^(?P<id>\\\\w+)\\\\s+(?P<type>\\\\w+)\\\\s+(?P<cluster_id>\\\\w+)\\\\s+(?P<cluster_count>\\\\w+)$'\nmatched = re.match(regex, comment_str.strip())\nif not matched:\n return None\nreturn matched.groupdict()",
"import re\nregex = '^(?P<length>\\\\w+)\\\\s+(?P<id>\\\\w+)\\\\s+(?P<type>\\\\w+)... | <|body_start_0|>
import re
regex = '^(?P<id>\\w+)\\s+(?P<type>\\w+)\\s+(?P<cluster_id>\\w+)\\s+(?P<cluster_count>\\w+)$'
matched = re.match(regex, comment_str.strip())
if not matched:
return None
return matched.groupdict()
<|end_body_0|>
<|body_start_1|>
impo... | "Comment string" parser. A "comment string" is commonly used in various of NGS file format (like "fasta", "dot-bracket" files, etc.) which helps convey some "basic info". This parser is to help retrieve this info. | CommentParser | [
"MIT",
"BSD-3-Clause",
"BSD-2-Clause",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommentParser:
""""Comment string" parser. A "comment string" is commonly used in various of NGS file format (like "fasta", "dot-bracket" files, etc.) which helps convey some "basic info". This parser is to help retrieve this info."""
def parse_rsample_dot_bracket(cls, comment_str):
... | stack_v2_sparse_classes_10k_train_004823 | 3,306 | permissive | [
{
"docstring": "Parse the \"comment string\" for a \"RSample dot-bracket\" result file. An example for the \"RSample comment string\": >001 centroid 1 655 Elements: - '001' - RNA ID - 'centroid' - clustering result type, centroid | bpp - '1' - clustering # - '655' - clustering size Parameters ---------- comment... | 3 | stack_v2_sparse_classes_30k_train_007362 | Implement the Python class `CommentParser` described below.
Class description:
"Comment string" parser. A "comment string" is commonly used in various of NGS file format (like "fasta", "dot-bracket" files, etc.) which helps convey some "basic info". This parser is to help retrieve this info.
Method signatures and doc... | Implement the Python class `CommentParser` described below.
Class description:
"Comment string" parser. A "comment string" is commonly used in various of NGS file format (like "fasta", "dot-bracket" files, etc.) which helps convey some "basic info". This parser is to help retrieve this info.
Method signatures and doc... | 0cc238745a2679d763b356609d312c3f447a0be7 | <|skeleton|>
class CommentParser:
""""Comment string" parser. A "comment string" is commonly used in various of NGS file format (like "fasta", "dot-bracket" files, etc.) which helps convey some "basic info". This parser is to help retrieve this info."""
def parse_rsample_dot_bracket(cls, comment_str):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CommentParser:
""""Comment string" parser. A "comment string" is commonly used in various of NGS file format (like "fasta", "dot-bracket" files, etc.) which helps convey some "basic info". This parser is to help retrieve this info."""
def parse_rsample_dot_bracket(cls, comment_str):
"""Parse the ... | the_stack_v2_python_sparse | feature_generation/neo-rna/neoRNA/util/parser/comment_parser.py | kundajelab/PREUSS | train | 2 |
20782ba2561d8a9b2953206822d776327080e62a | [
"def helper(node: TreeNode, lower=float('-inf'), upper=float('inf')) -> bool:\n if node is None:\n return True\n val = node.val\n if val <= lower or val >= upper:\n return False\n if not helper(node.left, lower, val):\n return False\n if not helper(node.right, val, upper):\n ... | <|body_start_0|>
def helper(node: TreeNode, lower=float('-inf'), upper=float('inf')) -> bool:
if node is None:
return True
val = node.val
if val <= lower or val >= upper:
return False
if not helper(node.left, lower, val):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isValidBST(self, root: TreeNode) -> bool:
"""递归法 :param root: :return:"""
<|body_0|>
def isValidBST2(self, root: TreeNode) -> bool:
"""中序遍历 使用栈来进行存储中序遍历节点，每次判断与前一节点大小 :param root: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_004824 | 1,618 | no_license | [
{
"docstring": "递归法 :param root: :return:",
"name": "isValidBST",
"signature": "def isValidBST(self, root: TreeNode) -> bool"
},
{
"docstring": "中序遍历 使用栈来进行存储中序遍历节点，每次判断与前一节点大小 :param root: :return:",
"name": "isValidBST2",
"signature": "def isValidBST2(self, root: TreeNode) -> bool"
}... | 2 | stack_v2_sparse_classes_30k_train_002398 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST(self, root: TreeNode) -> bool: 递归法 :param root: :return:
- def isValidBST2(self, root: TreeNode) -> bool: 中序遍历 使用栈来进行存储中序遍历节点，每次判断与前一节点大小 :param root: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST(self, root: TreeNode) -> bool: 递归法 :param root: :return:
- def isValidBST2(self, root: TreeNode) -> bool: 中序遍历 使用栈来进行存储中序遍历节点，每次判断与前一节点大小 :param root: :return:
<|... | 150a216213ddb2012b603899717ad7a769c1b3c3 | <|skeleton|>
class Solution:
def isValidBST(self, root: TreeNode) -> bool:
"""递归法 :param root: :return:"""
<|body_0|>
def isValidBST2(self, root: TreeNode) -> bool:
"""中序遍历 使用栈来进行存储中序遍历节点，每次判断与前一节点大小 :param root: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isValidBST(self, root: TreeNode) -> bool:
"""递归法 :param root: :return:"""
def helper(node: TreeNode, lower=float('-inf'), upper=float('inf')) -> bool:
if node is None:
return True
val = node.val
if val <= lower or val >= upper:
... | the_stack_v2_python_sparse | code/26_验证二叉搜索树.py | fsc2016/LeetCode | train | 0 | |
80d8fcd049714a931c5e8daf5f6c1c6c26f1d7ca | [
"ruleTableName = 'Rule %s %s %s %s %s' % (indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier)\nRule.__init__(self, ruleTableName)\nself._selectQuery = 'select Date, Code, %s from %s' % (indicatorColumn, indicatorTable)\nself._indicatorColumn = indicatorColumn\nself._relativeIndex = relativeIndex... | <|body_start_0|>
ruleTableName = 'Rule %s %s %s %s %s' % (indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier)
Rule.__init__(self, ruleTableName)
self._selectQuery = 'select Date, Code, %s from %s' % (indicatorColumn, indicatorTable)
self._indicatorColumn = indicatorCo... | Relative Rule Class. | RelativeRule | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelativeRule:
"""Relative Rule Class."""
def __init__(self, indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier=1.0):
"""Class Constructor. :param indicatorTable: :param indicatorColumn: :param relativeIndex: Relative Index to compare the Indicator Column e.g. -1 m... | stack_v2_sparse_classes_10k_train_004825 | 2,834 | no_license | [
{
"docstring": "Class Constructor. :param indicatorTable: :param indicatorColumn: :param relativeIndex: Relative Index to compare the Indicator Column e.g. -1 means previous day and -5 means five days ago :param comparison: :param multiplier:",
"name": "__init__",
"signature": "def __init__(self, indica... | 2 | stack_v2_sparse_classes_30k_train_000531 | Implement the Python class `RelativeRule` described below.
Class description:
Relative Rule Class.
Method signatures and docstrings:
- def __init__(self, indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier=1.0): Class Constructor. :param indicatorTable: :param indicatorColumn: :param relativeIndex:... | Implement the Python class `RelativeRule` described below.
Class description:
Relative Rule Class.
Method signatures and docstrings:
- def __init__(self, indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier=1.0): Class Constructor. :param indicatorTable: :param indicatorColumn: :param relativeIndex:... | 08b07b50ead69decd381cf5f866f4d8ffb80fa54 | <|skeleton|>
class RelativeRule:
"""Relative Rule Class."""
def __init__(self, indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier=1.0):
"""Class Constructor. :param indicatorTable: :param indicatorColumn: :param relativeIndex: Relative Index to compare the Indicator Column e.g. -1 m... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RelativeRule:
"""Relative Rule Class."""
def __init__(self, indicatorTable, indicatorColumn, relativeIndex, comparison, multiplier=1.0):
"""Class Constructor. :param indicatorTable: :param indicatorColumn: :param relativeIndex: Relative Index to compare the Indicator Column e.g. -1 means previous... | the_stack_v2_python_sparse | pyswing/objects/rules/relativeRule.py | garyjoy/pyswing | train | 1 |
331f7416945d6b97a1324bb0ba1a0fd076c18677 | [
"lookup_url_kwarg = self.lookup_url_kwarg or self.lookup_field\nlookup = self.kwargs.get(lookup_url_kwarg, None)\nif lookup is not None:\n return Clip.objects.filter(video__hash_key=lookup).select_related('owner', 'video')\nreturn Clip.objects.none()",
"lookup_url_kwarg = self.lookup_url_kwarg or self.lookup_f... | <|body_start_0|>
lookup_url_kwarg = self.lookup_url_kwarg or self.lookup_field
lookup = self.kwargs.get(lookup_url_kwarg, None)
if lookup is not None:
return Clip.objects.filter(video__hash_key=lookup).select_related('owner', 'video')
return Clip.objects.none()
<|end_body_0|>... | List all clips of a video and create new clips. ## Reading ### Permissions * Anyone can read this endpoint. ### Fields Reading this endpoint returns a list of [Clip objects](0/) ## Publishing ### Permissions * Only authenticated users can create using this endpoint. * Only associated users of a video can write to this ... | VideoClipList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VideoClipList:
"""List all clips of a video and create new clips. ## Reading ### Permissions * Anyone can read this endpoint. ### Fields Reading this endpoint returns a list of [Clip objects](0/) ## Publishing ### Permissions * Only authenticated users can create using this endpoint. * Only assoc... | stack_v2_sparse_classes_10k_train_004826 | 40,640 | no_license | [
{
"docstring": "This view should return a list of all clips for the video as determined by the lookup parameters of the view.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "Create a new clip",
"name": "perform_create",
"signature": "def perform_create(... | 2 | stack_v2_sparse_classes_30k_train_006958 | Implement the Python class `VideoClipList` described below.
Class description:
List all clips of a video and create new clips. ## Reading ### Permissions * Anyone can read this endpoint. ### Fields Reading this endpoint returns a list of [Clip objects](0/) ## Publishing ### Permissions * Only authenticated users can c... | Implement the Python class `VideoClipList` described below.
Class description:
List all clips of a video and create new clips. ## Reading ### Permissions * Anyone can read this endpoint. ### Fields Reading this endpoint returns a list of [Clip objects](0/) ## Publishing ### Permissions * Only authenticated users can c... | 1f4b4cd74c9b4280437f73bdfef4491536194eeb | <|skeleton|>
class VideoClipList:
"""List all clips of a video and create new clips. ## Reading ### Permissions * Anyone can read this endpoint. ### Fields Reading this endpoint returns a list of [Clip objects](0/) ## Publishing ### Permissions * Only authenticated users can create using this endpoint. * Only assoc... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class VideoClipList:
"""List all clips of a video and create new clips. ## Reading ### Permissions * Anyone can read this endpoint. ### Fields Reading this endpoint returns a list of [Clip objects](0/) ## Publishing ### Permissions * Only authenticated users can create using this endpoint. * Only associated users o... | the_stack_v2_python_sparse | gravvy/apps/video/views.py | nceruchalu/gravvy-server | train | 1 |
e910ff849bd391adad910ddebabb5cad65964106 | [
"super().__init__()\nif shared_dim is None:\n shared_dim = num_filts * 2 ** n_sample\nshared_block_enc = block_cls(shared_dim)\nshared_block_gen = block_cls(shared_dim)\nself.encoder_a = encoder_cls(shared_block_enc, img_shape[0], num_filts, n_sample)\nself.encoder_b = encoder_cls(shared_block_enc, img_shape[0],... | <|body_start_0|>
super().__init__()
if shared_dim is None:
shared_dim = num_filts * 2 ** n_sample
shared_block_enc = block_cls(shared_dim)
shared_block_gen = block_cls(shared_dim)
self.encoder_a = encoder_cls(shared_block_enc, img_shape[0], num_filts, n_sample)
... | Class implementing Unsupervised Image-to-Image Translation Networks References ---------- `Paper <https://arxiv.org/abs/1703.00848>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its parts (i. e. separa... | UNIT | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UNIT:
"""Class implementing Unsupervised Image-to-Image Translation Networks References ---------- `Paper <https://arxiv.org/abs/1703.00848>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this netw... | stack_v2_sparse_classes_10k_train_004827 | 8,177 | permissive | [
{
"docstring": "Parameters ---------- img_shape : tuple the shape of the images to translate from and to (including channels, excluding batch dimension) num_filts : int number of filters to use n_sample : int number of sampling layers per network shared_dim : int size of the shared dimension between generators ... | 2 | stack_v2_sparse_classes_30k_train_003500 | Implement the Python class `UNIT` described below.
Class description:
Class implementing Unsupervised Image-to-Image Translation Networks References ---------- `Paper <https://arxiv.org/abs/1703.00848>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained networ... | Implement the Python class `UNIT` described below.
Class description:
Class implementing Unsupervised Image-to-Image Translation Networks References ---------- `Paper <https://arxiv.org/abs/1703.00848>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained networ... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class UNIT:
"""Class implementing Unsupervised Image-to-Image Translation Networks References ---------- `Paper <https://arxiv.org/abs/1703.00848>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this netw... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UNIT:
"""Class implementing Unsupervised Image-to-Image Translation Networks References ---------- `Paper <https://arxiv.org/abs/1703.00848>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its ... | the_stack_v2_python_sparse | dlutils/models/gans/unit/unit.py | justusschock/dl-utils | train | 15 |
a24a4c20d40bdcb7673427c50a95fcd71e5db044 | [
"super(FunctionComponent, self).__init__(opts)\nself.res_options = opts.get('resilient', {})\nself.options = opts.get('pagerduty', {})\nvalidate_fields(['api_token', 'from_email'], self.options)\nself.log = logging.getLogger(__name__)",
"self.res_options = opts.get('resilient', {})\nself.options = opts.get('pager... | <|body_start_0|>
super(FunctionComponent, self).__init__(opts)
self.res_options = opts.get('resilient', {})
self.options = opts.get('pagerduty', {})
validate_fields(['api_token', 'from_email'], self.options)
self.log = logging.getLogger(__name__)
<|end_body_0|>
<|body_start_1|>
... | Component that implements Resilient function 'pagerduty_transition_incident Transitioning an incident can be used to update specific fields (such as priority) or Change the status to acknowledged or resolved | FunctionComponent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'pagerduty_transition_incident Transitioning an incident can be used to update specific fields (such as priority) or Change the status to acknowledged or resolved"""
def __init__(self, opts):
"""constructor provides a... | stack_v2_sparse_classes_10k_train_004828 | 2,316 | permissive | [
{
"docstring": "constructor provides access to the configuration options",
"name": "__init__",
"signature": "def __init__(self, opts)"
},
{
"docstring": "Configuration options have changed, save new values",
"name": "_reload",
"signature": "def _reload(self, event, opts)"
},
{
"d... | 3 | null | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'pagerduty_transition_incident Transitioning an incident can be used to update specific fields (such as priority) or Change the status to acknowledged or resolved
Method signatures and docst... | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'pagerduty_transition_incident Transitioning an incident can be used to update specific fields (such as priority) or Change the status to acknowledged or resolved
Method signatures and docst... | 6878c78b94eeca407998a41ce8db2cc00f2b6758 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'pagerduty_transition_incident Transitioning an incident can be used to update specific fields (such as priority) or Change the status to acknowledged or resolved"""
def __init__(self, opts):
"""constructor provides a... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FunctionComponent:
"""Component that implements Resilient function 'pagerduty_transition_incident Transitioning an incident can be used to update specific fields (such as priority) or Change the status to acknowledged or resolved"""
def __init__(self, opts):
"""constructor provides access to the ... | the_stack_v2_python_sparse | fn_pagerduty/fn_pagerduty/components/funct_pagerduty_transition_incident.py | ibmresilient/resilient-community-apps | train | 81 |
58d8c2271fb423f8309143ccf3d44b10f145e02b | [
"try:\n user = User.objects.get(pk=data)\nexcept User.DoesNotExist:\n raise serializers.ValidationError('Invalid Passanger')\ncircle = self.context['circle']\ntry:\n membership = MemberShip.objects.get(user=user, circle=circle, is_active=True)\nexcept MemberShip.DoesNotExist:\n raise serializers.Validat... | <|body_start_0|>
try:
user = User.objects.get(pk=data)
except User.DoesNotExist:
raise serializers.ValidationError('Invalid Passanger')
circle = self.context['circle']
try:
membership = MemberShip.objects.get(user=user, circle=circle, is_active=True)
... | Join Ride serializer | JoinRideSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JoinRideSerializer:
"""Join Ride serializer"""
def validate_passanger(self, data):
"""Verify passenger exist and is a circle member"""
<|body_0|>
def validate(self, data):
"""verify ride allow new passangers"""
<|body_1|>
def update(self, instance, d... | stack_v2_sparse_classes_10k_train_004829 | 7,953 | no_license | [
{
"docstring": "Verify passenger exist and is a circle member",
"name": "validate_passanger",
"signature": "def validate_passanger(self, data)"
},
{
"docstring": "verify ride allow new passangers",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": "Add... | 3 | stack_v2_sparse_classes_30k_train_003104 | Implement the Python class `JoinRideSerializer` described below.
Class description:
Join Ride serializer
Method signatures and docstrings:
- def validate_passanger(self, data): Verify passenger exist and is a circle member
- def validate(self, data): verify ride allow new passangers
- def update(self, instance, data)... | Implement the Python class `JoinRideSerializer` described below.
Class description:
Join Ride serializer
Method signatures and docstrings:
- def validate_passanger(self, data): Verify passenger exist and is a circle member
- def validate(self, data): verify ride allow new passangers
- def update(self, instance, data)... | 0cede53169041667bd40bbce3c4774af84ffc2fa | <|skeleton|>
class JoinRideSerializer:
"""Join Ride serializer"""
def validate_passanger(self, data):
"""Verify passenger exist and is a circle member"""
<|body_0|>
def validate(self, data):
"""verify ride allow new passangers"""
<|body_1|>
def update(self, instance, d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class JoinRideSerializer:
"""Join Ride serializer"""
def validate_passanger(self, data):
"""Verify passenger exist and is a circle member"""
try:
user = User.objects.get(pk=data)
except User.DoesNotExist:
raise serializers.ValidationError('Invalid Passanger')
... | the_stack_v2_python_sparse | rides/serializers/rides.py | KrystellCR/DjangoRF | train | 0 |
40d1051acaaef2780b9bd124ceeba371c471d523 | [
"arr = [_ for _ in range(n)]\ncount = 0\nwhile True:\n for i in range(len(arr)):\n if arr[i] != -1:\n count = (count + 1) % m\n if count == 0:\n arr[i] = -1\n if arr.count(-1) == n - 1:\n for num in arr:\n if num... | <|body_start_0|>
arr = [_ for _ in range(n)]
count = 0
while True:
for i in range(len(arr)):
if arr[i] != -1:
count = (count + 1) % m
if count == 0:
arr[i] = -1
if arr.count(-1) ==... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lastRemaining(self, n: int, m: int) -> int:
"""超出时间限制 :param n: :param m: :return:"""
<|body_0|>
def lastRemaining2(self, n: int, m: int) -> int:
"""超时 :param n: :param m: :return:"""
<|body_1|>
def lastRemaining3(self, n: int, m: int) -> i... | stack_v2_sparse_classes_10k_train_004830 | 3,080 | no_license | [
{
"docstring": "超出时间限制 :param n: :param m: :return:",
"name": "lastRemaining",
"signature": "def lastRemaining(self, n: int, m: int) -> int"
},
{
"docstring": "超时 :param n: :param m: :return:",
"name": "lastRemaining2",
"signature": "def lastRemaining2(self, n: int, m: int) -> int"
},
... | 5 | stack_v2_sparse_classes_30k_train_003019 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastRemaining(self, n: int, m: int) -> int: 超出时间限制 :param n: :param m: :return:
- def lastRemaining2(self, n: int, m: int) -> int: 超时 :param n: :param m: :return:
- def lastR... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lastRemaining(self, n: int, m: int) -> int: 超出时间限制 :param n: :param m: :return:
- def lastRemaining2(self, n: int, m: int) -> int: 超时 :param n: :param m: :return:
- def lastR... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def lastRemaining(self, n: int, m: int) -> int:
"""超出时间限制 :param n: :param m: :return:"""
<|body_0|>
def lastRemaining2(self, n: int, m: int) -> int:
"""超时 :param n: :param m: :return:"""
<|body_1|>
def lastRemaining3(self, n: int, m: int) -> i... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def lastRemaining(self, n: int, m: int) -> int:
"""超出时间限制 :param n: :param m: :return:"""
arr = [_ for _ in range(n)]
count = 0
while True:
for i in range(len(arr)):
if arr[i] != -1:
count = (count + 1) % m
... | the_stack_v2_python_sparse | LeetCode/数学/1579. 圆圈中最后剩下的数字.py | yiming1012/MyLeetCode | train | 2 | |
5629ad020469bb4f0749842a5e0a615cc8c15d4c | [
"Frame.__init__(self, master)\nself.pack()\nself.createSongWidgets()",
"top_frame = Frame(self)\nself.labelInput = Label(top_frame, text='Song Name \\n mp3 aiff m4p ')\nself.text_in = Entry(top_frame)\nself.labelResult = Label(top_frame, text='Result')\nself.labelInput.pack()\nself.text_in.pack()\nself.labelResul... | <|body_start_0|>
Frame.__init__(self, master)
self.pack()
self.createSongWidgets()
<|end_body_0|>
<|body_start_1|>
top_frame = Frame(self)
self.labelInput = Label(top_frame, text='Song Name \n mp3 aiff m4p ')
self.text_in = Entry(top_frame)
self.labelResult = Lab... | Application main window class. | getSong_UI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class getSong_UI:
"""Application main window class."""
def __init__(self, master=None):
"""Main frame initialization (mostly delegated)"""
<|body_0|>
def createSongWidgets(self):
"""Add all the widgets to the main frame."""
<|body_1|>
def handle(self):
... | stack_v2_sparse_classes_10k_train_004831 | 10,077 | no_license | [
{
"docstring": "Main frame initialization (mostly delegated)",
"name": "__init__",
"signature": "def __init__(self, master=None)"
},
{
"docstring": "Add all the widgets to the main frame.",
"name": "createSongWidgets",
"signature": "def createSongWidgets(self)"
},
{
"docstring": ... | 3 | stack_v2_sparse_classes_30k_train_002644 | Implement the Python class `getSong_UI` described below.
Class description:
Application main window class.
Method signatures and docstrings:
- def __init__(self, master=None): Main frame initialization (mostly delegated)
- def createSongWidgets(self): Add all the widgets to the main frame.
- def handle(self): Handle ... | Implement the Python class `getSong_UI` described below.
Class description:
Application main window class.
Method signatures and docstrings:
- def __init__(self, master=None): Main frame initialization (mostly delegated)
- def createSongWidgets(self): Add all the widgets to the main frame.
- def handle(self): Handle ... | 2dba11861f91e4bdc1ef28279132a6d8dd4ccf54 | <|skeleton|>
class getSong_UI:
"""Application main window class."""
def __init__(self, master=None):
"""Main frame initialization (mostly delegated)"""
<|body_0|>
def createSongWidgets(self):
"""Add all the widgets to the main frame."""
<|body_1|>
def handle(self):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class getSong_UI:
"""Application main window class."""
def __init__(self, master=None):
"""Main frame initialization (mostly delegated)"""
Frame.__init__(self, master)
self.pack()
self.createSongWidgets()
def createSongWidgets(self):
"""Add all the widgets to the ma... | the_stack_v2_python_sparse | Mux_src/Fix_All_Music_Guis.py | rduvalwa5/Mux | train | 0 |
2a1c52730009a26b5e2ad9951b855613d0a71494 | [
"if self.request.is_ajax():\n return JsonResponse({'error': form.errors}, status=400)\nelse:\n return JsonResponse({'error': 'Invalid form and request'}, status=400)",
"if self.request.is_ajax():\n notice = Notice.objects.get(pk=self.kwargs['pk'])\n form.instance.notice = notice\n form.instance.use... | <|body_start_0|>
if self.request.is_ajax():
return JsonResponse({'error': form.errors}, status=400)
else:
return JsonResponse({'error': 'Invalid form and request'}, status=400)
<|end_body_0|>
<|body_start_1|>
if self.request.is_ajax():
notice = Notice.objects... | Handles creating a comment Args: * Arg1: The LoginRequiredMixin * Arg2: Inherits the Generic FormView class. | CreateComment | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateComment:
"""Handles creating a comment Args: * Arg1: The LoginRequiredMixin * Arg2: Inherits the Generic FormView class."""
def form_invalid(self, form):
"""Handles comment form invalid nArgs: * Arg1: Self - the current instance of the class * Arg2: the comment form Returns: * ... | stack_v2_sparse_classes_10k_train_004832 | 16,067 | no_license | [
{
"docstring": "Handles comment form invalid nArgs: * Arg1: Self - the current instance of the class * Arg2: the comment form Returns: * Json response of the error",
"name": "form_invalid",
"signature": "def form_invalid(self, form)"
},
{
"docstring": "Handles comment form valid * Sets the comme... | 2 | stack_v2_sparse_classes_30k_train_002451 | Implement the Python class `CreateComment` described below.
Class description:
Handles creating a comment Args: * Arg1: The LoginRequiredMixin * Arg2: Inherits the Generic FormView class.
Method signatures and docstrings:
- def form_invalid(self, form): Handles comment form invalid nArgs: * Arg1: Self - the current i... | Implement the Python class `CreateComment` described below.
Class description:
Handles creating a comment Args: * Arg1: The LoginRequiredMixin * Arg2: Inherits the Generic FormView class.
Method signatures and docstrings:
- def form_invalid(self, form): Handles comment form invalid nArgs: * Arg1: Self - the current i... | dc7ff47249809f377fbccbb40667b83011930b7b | <|skeleton|>
class CreateComment:
"""Handles creating a comment Args: * Arg1: The LoginRequiredMixin * Arg2: Inherits the Generic FormView class."""
def form_invalid(self, form):
"""Handles comment form invalid nArgs: * Arg1: Self - the current instance of the class * Arg2: the comment form Returns: * ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CreateComment:
"""Handles creating a comment Args: * Arg1: The LoginRequiredMixin * Arg2: Inherits the Generic FormView class."""
def form_invalid(self, form):
"""Handles comment form invalid nArgs: * Arg1: Self - the current instance of the class * Arg2: the comment form Returns: * Json response... | the_stack_v2_python_sparse | notices/views.py | alychinque/eHand | train | 0 |
8a16fbe82e5c72ada13cb843d973957b35fc6506 | [
"super().__init__()\nmodel_file_name_full_path = os.path.join(resource_manager.getResourceRootDir(), model_file_name)\nif not os.path.exists(model_file_name_full_path):\n raise Exception(f'Missing model file: {model_file_name_full_path}')\nself.model = resource_manager.loadRankLibModel(model_file_name)\nself.fea... | <|body_start_0|>
super().__init__()
model_file_name_full_path = os.path.join(resource_manager.getResourceRootDir(), model_file_name)
if not os.path.exists(model_file_name_full_path):
raise Exception(f'Missing model file: {model_file_name_full_path}')
self.model = resource_man... | An interface to classic (non-neural) rankers, which are implemented a the Java layer. Model and configuration files are relative to the collection directory (resource root directory). | ClassicRanker | [
"BSD-2-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassicRanker:
"""An interface to classic (non-neural) rankers, which are implemented a the Java layer. Model and configuration files are relative to the collection directory (resource root directory)."""
def __init__(self, resource_manager, feat_extr_file_name, model_file_name):
"""... | stack_v2_sparse_classes_10k_train_004833 | 3,723 | permissive | [
{
"docstring": "Reranker constructor. :param resource_manager: a resource manager object :param feat_extr_file_name: feature extractor JSON configuration file. :param model_file_name: a (previously trained/created) model file name",
"name": "__init__",
"signature": "def __init__(self, resource_manager, ... | 2 | stack_v2_sparse_classes_30k_test_000060 | Implement the Python class `ClassicRanker` described below.
Class description:
An interface to classic (non-neural) rankers, which are implemented a the Java layer. Model and configuration files are relative to the collection directory (resource root directory).
Method signatures and docstrings:
- def __init__(self, ... | Implement the Python class `ClassicRanker` described below.
Class description:
An interface to classic (non-neural) rankers, which are implemented a the Java layer. Model and configuration files are relative to the collection directory (resource root directory).
Method signatures and docstrings:
- def __init__(self, ... | 0bd3e06735ff705731fb6cee62d3486276beccdf | <|skeleton|>
class ClassicRanker:
"""An interface to classic (non-neural) rankers, which are implemented a the Java layer. Model and configuration files are relative to the collection directory (resource root directory)."""
def __init__(self, resource_manager, feat_extr_file_name, model_file_name):
"""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ClassicRanker:
"""An interface to classic (non-neural) rankers, which are implemented a the Java layer. Model and configuration files are relative to the collection directory (resource root directory)."""
def __init__(self, resource_manager, feat_extr_file_name, model_file_name):
"""Reranker cons... | the_stack_v2_python_sparse | flexneuart/ranker/classic.py | oaqa/FlexNeuART | train | 156 |
516fd9315e65bf427e2f9826f8d43297d388fb22 | [
"self.config = Configuration.from_filepath()\nif name is None or name not in self.config.get_values_strategy():\n raise Exception(\"La Strategie {NOM} n'existe pas\".format(NOM=name))\nself.name = name",
"if self.name.strip() == 'DEV':\n return StrategieDev()\nelse:\n raise ValueError('Strategie non-pris... | <|body_start_0|>
self.config = Configuration.from_filepath()
if name is None or name not in self.config.get_values_strategy():
raise Exception("La Strategie {NOM} n'existe pas".format(NOM=name))
self.name = name
<|end_body_0|>
<|body_start_1|>
if self.name.strip() == 'DEV':
... | Classe permttant d'initialiser les Strategies | StgyFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StgyFactory:
"""Classe permttant d'initialiser les Strategies"""
def __init__(self, name=None):
"""Initialisation Objet"""
<|body_0|>
def make(self):
"""Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier de configuration"""
... | stack_v2_sparse_classes_10k_train_004834 | 1,138 | permissive | [
{
"docstring": "Initialisation Objet",
"name": "__init__",
"signature": "def __init__(self, name=None)"
},
{
"docstring": "Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier de configuration",
"name": "make",
"signature": "def make(self)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000213 | Implement the Python class `StgyFactory` described below.
Class description:
Classe permttant d'initialiser les Strategies
Method signatures and docstrings:
- def __init__(self, name=None): Initialisation Objet
- def make(self): Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier... | Implement the Python class `StgyFactory` described below.
Class description:
Classe permttant d'initialiser les Strategies
Method signatures and docstrings:
- def __init__(self, name=None): Initialisation Objet
- def make(self): Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier... | fa0af604752d7a3905f988b9164eb24c0d2cc8d2 | <|skeleton|>
class StgyFactory:
"""Classe permttant d'initialiser les Strategies"""
def __init__(self, name=None):
"""Initialisation Objet"""
<|body_0|>
def make(self):
"""Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier de configuration"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class StgyFactory:
"""Classe permttant d'initialiser les Strategies"""
def __init__(self, name=None):
"""Initialisation Objet"""
self.config = Configuration.from_filepath()
if name is None or name not in self.config.get_values_strategy():
raise Exception("La Strategie {NOM} ... | the_stack_v2_python_sparse | src/lib/strategie/factory.py | Ileouleyuki/MyTradingBot | train | 0 |
cd48a2132311d73612567d65ccd4118da7694dc5 | [
"\"\"\"O(n)的时间复杂度\n 但是需要额外的存储空间\n 不好！\"\"\"\nx = str(x)\ni, j = (0, len(x) - 1)\nwhile i < j:\n if x[i] != x[j]:\n return False\n i += 1\n j -= 1\nreturn True",
"\"\"\"log10(n)的时间复杂度\n 将数字进行反转，如果是回文肯定和原先数字一样，如果不一样不是回文，但是有溢出的风险。\n 所以可以只反转后裔一半数字\"\"\"\n'如果最后一位是0那么它是回文它必须是... | <|body_start_0|>
"""O(n)的时间复杂度
但是需要额外的存储空间
不好！"""
x = str(x)
i, j = (0, len(x) - 1)
while i < j:
if x[i] != x[j]:
return False
i += 1
j -= 1
return True
<|end_body_0|>
<|body_start_1|>
""... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome_2(self, x):
""":param x: :return:"""
<|body_1|>
def isPalindrome_3(self, x):
"""beat 99.64%的人"""
<|body_2|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_10k_train_004835 | 1,657 | no_license | [
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
},
{
"docstring": ":param x: :return:",
"name": "isPalindrome_2",
"signature": "def isPalindrome_2(self, x)"
},
{
"docstring": "beat 99.64%的人",
"name": "isPalindrome_3... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindrome_2(self, x): :param x: :return:
- def isPalindrome_3(self, x): beat 99.64%的人 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindrome_2(self, x): :param x: :return:
- def isPalindrome_3(self, x): beat 99.64%的人
<|skeleton|>
class Solution:
... | 09b7121628df824f432b8cdd25c55f045b013c0b | <|skeleton|>
class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome_2(self, x):
""":param x: :return:"""
<|body_1|>
def isPalindrome_3(self, x):
"""beat 99.64%的人"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
"""O(n)的时间复杂度
但是需要额外的存储空间
不好！"""
x = str(x)
i, j = (0, len(x) - 1)
while i < j:
if x[i] != x[j]:
return False
i += 1
... | the_stack_v2_python_sparse | tuter_start/9_int.py | cainingning/leetcode | train | 1 | |
d18d96414d5f2d71fa0be07189bbaff67fbeb970 | [
"from .traces import ScriptEndpointTrace\nif self.is_new():\n raise SyncanoValidationError('Method allowed only on existing model.')\nproperties = self.get_endpoint_data()\nhttp_method = 'POST'\nendpoint = self._meta.resolve_endpoint('run', properties, http_method)\nconnection = self._get_connection(**payload)\n... | <|body_start_0|>
from .traces import ScriptEndpointTrace
if self.is_new():
raise SyncanoValidationError('Method allowed only on existing model.')
properties = self.get_endpoint_data()
http_method = 'POST'
endpoint = self._meta.resolve_endpoint('run', properties, http_... | OO wrapper around script endpoints `link <http://docs.syncano.com/docs/codebox-sockets>`_. :ivar name: :class:`~syncano.models.fields.SlugField` :ivar script: :class:`~syncano.models.fields.IntegerField` :ivar links: :class:`~syncano.models.fields.HyperlinkedField` .. note:: **ScriptEndpoint** has special method called... | ScriptEndpoint | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScriptEndpoint:
"""OO wrapper around script endpoints `link <http://docs.syncano.com/docs/codebox-sockets>`_. :ivar name: :class:`~syncano.models.fields.SlugField` :ivar script: :class:`~syncano.models.fields.IntegerField` :ivar links: :class:`~syncano.models.fields.HyperlinkedField` .. note:: **... | stack_v2_sparse_classes_10k_train_004836 | 13,042 | no_license | [
{
"docstring": "Usage:: >>> se = ScriptEndpoint.please.get('instance-name', 'script-name') >>> se.run() >>> se.run(variable_one=1, variable_two=2)",
"name": "run",
"signature": "def run(self, cache_key=None, **payload)"
},
{
"docstring": "Usage:: >>> se = ScriptEndpoint.please.get('instance-name... | 2 | stack_v2_sparse_classes_30k_train_006351 | Implement the Python class `ScriptEndpoint` described below.
Class description:
OO wrapper around script endpoints `link <http://docs.syncano.com/docs/codebox-sockets>`_. :ivar name: :class:`~syncano.models.fields.SlugField` :ivar script: :class:`~syncano.models.fields.IntegerField` :ivar links: :class:`~syncano.model... | Implement the Python class `ScriptEndpoint` described below.
Class description:
OO wrapper around script endpoints `link <http://docs.syncano.com/docs/codebox-sockets>`_. :ivar name: :class:`~syncano.models.fields.SlugField` :ivar script: :class:`~syncano.models.fields.IntegerField` :ivar links: :class:`~syncano.model... | 3a1cff87a565a075ca6f54bfe55089bb152fdbf3 | <|skeleton|>
class ScriptEndpoint:
"""OO wrapper around script endpoints `link <http://docs.syncano.com/docs/codebox-sockets>`_. :ivar name: :class:`~syncano.models.fields.SlugField` :ivar script: :class:`~syncano.models.fields.IntegerField` :ivar links: :class:`~syncano.models.fields.HyperlinkedField` .. note:: **... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ScriptEndpoint:
"""OO wrapper around script endpoints `link <http://docs.syncano.com/docs/codebox-sockets>`_. :ivar name: :class:`~syncano.models.fields.SlugField` :ivar script: :class:`~syncano.models.fields.IntegerField` :ivar links: :class:`~syncano.models.fields.HyperlinkedField` .. note:: **ScriptEndpoin... | the_stack_v2_python_sparse | syncano/models/incentives.py | Syncano/syncano-python | train | 4 |
a039e1dea7d55097ca9d14ebdcf513d2ce2e05a0 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | XArmShuidiServicer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XArmShuidiServicer:
"""Missing associated documentation comment in .proto file."""
def arm_move_jspace_path(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def arm_get_jnt_values(self, request, context):
"""Missi... | stack_v2_sparse_classes_10k_train_004837 | 8,487 | permissive | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "arm_move_jspace_path",
"signature": "def arm_move_jspace_path(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "arm_get_jnt_values",
"signatur... | 5 | stack_v2_sparse_classes_30k_train_005579 | Implement the Python class `XArmShuidiServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def arm_move_jspace_path(self, request, context): Missing associated documentation comment in .proto file.
- def arm_get_jnt_values(self, req... | Implement the Python class `XArmShuidiServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def arm_move_jspace_path(self, request, context): Missing associated documentation comment in .proto file.
- def arm_get_jnt_values(self, req... | 405f15be1a3f7740f3eb7d234d96998f6d057a54 | <|skeleton|>
class XArmShuidiServicer:
"""Missing associated documentation comment in .proto file."""
def arm_move_jspace_path(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def arm_get_jnt_values(self, request, context):
"""Missi... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class XArmShuidiServicer:
"""Missing associated documentation comment in .proto file."""
def arm_move_jspace_path(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not imple... | the_stack_v2_python_sparse | robot_con/xarm_shuidi/xarm_shuidi_pb2_grpc.py | Shogo-Hayakawa/wrs | train | 0 |
d4635243363b6b9145af3219516f9465e86a387d | [
"if not nums:\n return 0\ngroup_idx = 0\ngroup = dict()\ngroup_min_max = dict()\nm = 1\nfor n in set(nums):\n if n + 1 not in group and n - 1 not in group:\n group[n] = group_idx\n group_min_max[group_idx] = (n, n)\n group_idx += 1\n else:\n group_min = group_max = n\n gs... | <|body_start_0|>
if not nums:
return 0
group_idx = 0
group = dict()
group_min_max = dict()
m = 1
for n in set(nums):
if n + 1 not in group and n - 1 not in group:
group[n] = group_idx
group_min_max[group_idx] = (n, n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestConsecutive(self, nums):
"""08/18/2018 18:52 Keep the group number of start and end point of each interval and each group's start and end Time complexity: O(n) Space complexity: O(n)"""
<|body_0|>
def longestConsecutive(self, nums: List[int]) -> int:
... | stack_v2_sparse_classes_10k_train_004838 | 4,211 | no_license | [
{
"docstring": "08/18/2018 18:52 Keep the group number of start and end point of each interval and each group's start and end Time complexity: O(n) Space complexity: O(n)",
"name": "longestConsecutive",
"signature": "def longestConsecutive(self, nums)"
},
{
"docstring": "06/20/2021 07:40 Union-f... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestConsecutive(self, nums): 08/18/2018 18:52 Keep the group number of start and end point of each interval and each group's start and end Time complexity: O(n) Space comp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestConsecutive(self, nums): 08/18/2018 18:52 Keep the group number of start and end point of each interval and each group's start and end Time complexity: O(n) Space comp... | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | <|skeleton|>
class Solution:
def longestConsecutive(self, nums):
"""08/18/2018 18:52 Keep the group number of start and end point of each interval and each group's start and end Time complexity: O(n) Space complexity: O(n)"""
<|body_0|>
def longestConsecutive(self, nums: List[int]) -> int:
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def longestConsecutive(self, nums):
"""08/18/2018 18:52 Keep the group number of start and end point of each interval and each group's start and end Time complexity: O(n) Space complexity: O(n)"""
if not nums:
return 0
group_idx = 0
group = dict()
... | the_stack_v2_python_sparse | leetcode/solved/128_Longest_Consecutive_Sequence/solution.py | sungminoh/algorithms | train | 0 | |
0c0057735c8aed188032bf401b29a37aca7c081e | [
"self.key = settings.PERMISSION_KEY\nself.mode = AES.MODE_ECB\nself.prefix = settings.PERMISSION_PREFIX",
"length = 32\nif len(text) > length:\n return ''\ntext = ''.join(random.sample(self.prefix, length - len(text))) + text\nencryptor = AES.new(self.key, self.mode)\ncurrent_time = time.time()\nself.save_to_a... | <|body_start_0|>
self.key = settings.PERMISSION_KEY
self.mode = AES.MODE_ECB
self.prefix = settings.PERMISSION_PREFIX
<|end_body_0|>
<|body_start_1|>
length = 32
if len(text) > length:
return ''
text = ''.join(random.sample(self.prefix, length - len(text))) +... | preceeding class for AuthList | KSMP_Permission | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KSMP_Permission:
"""preceeding class for AuthList"""
def __init__(self):
"""initiate object properties"""
<|body_0|>
def set_permission(self, text):
"""params: text allways is username 16*n bytes return: encoded auth code"""
<|body_1|>
def get_permis... | stack_v2_sparse_classes_10k_train_004839 | 2,888 | no_license | [
{
"docstring": "initiate object properties",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "params: text allways is username 16*n bytes return: encoded auth code",
"name": "set_permission",
"signature": "def set_permission(self, text)"
},
{
"docstring": ... | 6 | stack_v2_sparse_classes_30k_train_005783 | Implement the Python class `KSMP_Permission` described below.
Class description:
preceeding class for AuthList
Method signatures and docstrings:
- def __init__(self): initiate object properties
- def set_permission(self, text): params: text allways is username 16*n bytes return: encoded auth code
- def get_permission... | Implement the Python class `KSMP_Permission` described below.
Class description:
preceeding class for AuthList
Method signatures and docstrings:
- def __init__(self): initiate object properties
- def set_permission(self, text): params: text allways is username 16*n bytes return: encoded auth code
- def get_permission... | 7f801a569a396a27371d0831752595877c224a6b | <|skeleton|>
class KSMP_Permission:
"""preceeding class for AuthList"""
def __init__(self):
"""initiate object properties"""
<|body_0|>
def set_permission(self, text):
"""params: text allways is username 16*n bytes return: encoded auth code"""
<|body_1|>
def get_permis... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class KSMP_Permission:
"""preceeding class for AuthList"""
def __init__(self):
"""initiate object properties"""
self.key = settings.PERMISSION_KEY
self.mode = AES.MODE_ECB
self.prefix = settings.PERMISSION_PREFIX
def set_permission(self, text):
"""params: text allwa... | the_stack_v2_python_sparse | Python_projects/flask_projects/unicorn_project/session/permission.py | sdtimothy8/Coding | train | 0 |
c0b5960f6068d0a276878bf89b02c6c37e0656ed | [
"stateanalyzer = DH.StateAnalyzer(mergeddata)\nVALID_STATES = stateanalyzer.get_state_list()\nself.assertEqual(len(VALID_STATES), 55)\nstateanalyzer.set_state_data('NY')\nself.assertEqual(stateanalyzer.filtered_data.can_off_sta.unique(), ['NY'])\nstateanalyzer.set_state_data('CA')\nself.assertEqual(stateanalyzer.fi... | <|body_start_0|>
stateanalyzer = DH.StateAnalyzer(mergeddata)
VALID_STATES = stateanalyzer.get_state_list()
self.assertEqual(len(VALID_STATES), 55)
stateanalyzer.set_state_data('NY')
self.assertEqual(stateanalyzer.filtered_data.can_off_sta.unique(), ['NY'])
stateanalyzer.... | Unit Test for DataHandlers in DataHandler.py | DataHandlerTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataHandlerTest:
"""Unit Test for DataHandlers in DataHandler.py"""
def test_StateAnalyzer(self):
"""This tests StateAnalyzer class"""
<|body_0|>
def test_YearAnalyzer(self):
"""This tests YearAnalyzer class"""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_10k_train_004840 | 2,909 | no_license | [
{
"docstring": "This tests StateAnalyzer class",
"name": "test_StateAnalyzer",
"signature": "def test_StateAnalyzer(self)"
},
{
"docstring": "This tests YearAnalyzer class",
"name": "test_YearAnalyzer",
"signature": "def test_YearAnalyzer(self)"
}
] | 2 | null | Implement the Python class `DataHandlerTest` described below.
Class description:
Unit Test for DataHandlers in DataHandler.py
Method signatures and docstrings:
- def test_StateAnalyzer(self): This tests StateAnalyzer class
- def test_YearAnalyzer(self): This tests YearAnalyzer class | Implement the Python class `DataHandlerTest` described below.
Class description:
Unit Test for DataHandlers in DataHandler.py
Method signatures and docstrings:
- def test_StateAnalyzer(self): This tests StateAnalyzer class
- def test_YearAnalyzer(self): This tests YearAnalyzer class
<|skeleton|>
class DataHandlerTes... | dc9185cbc5e65650d985ebecf877a157c8c19a13 | <|skeleton|>
class DataHandlerTest:
"""Unit Test for DataHandlers in DataHandler.py"""
def test_StateAnalyzer(self):
"""This tests StateAnalyzer class"""
<|body_0|>
def test_YearAnalyzer(self):
"""This tests YearAnalyzer class"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DataHandlerTest:
"""Unit Test for DataHandlers in DataHandler.py"""
def test_StateAnalyzer(self):
"""This tests StateAnalyzer class"""
stateanalyzer = DH.StateAnalyzer(mergeddata)
VALID_STATES = stateanalyzer.get_state_list()
self.assertEqual(len(VALID_STATES), 55)
... | the_stack_v2_python_sparse | FINAL_PROJECT/PROJECT/test.py | ds-ga-1007/final_project | train | 0 |
2c7ab504802770985868fb45a4c59d1f2a8b6c40 | [
"qn = db.connection.ops.quote_name\nqs = _select_related_instances(Entry, 'section', [1], 'batch_select_entry', 'section_id')\ndb.reset_queries()\nlist(qs)\nsql = db.connection.queries[-1]['sql']\nself.failUnless(sql.startswith('SELECT (%s.%s) AS ' % (qn('batch_select_entry'), qn('section_id'))))",
"section = Sec... | <|body_start_0|>
qn = db.connection.ops.quote_name
qs = _select_related_instances(Entry, 'section', [1], 'batch_select_entry', 'section_id')
db.reset_queries()
list(qs)
sql = db.connection.queries[-1]['sql']
self.failUnless(sql.startswith('SELECT (%s.%s) AS ' % (qn('batch... | Ensure correct quoting of table and field names in queries | QuotingTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuotingTestCase:
"""Ensure correct quoting of table and field names in queries"""
def test_uses_backend_specific_quoting(self):
"""Backend-specific quotes should be used Table and field names should be quoted with the quote_name function provided by the database backend. The test her... | stack_v2_sparse_classes_10k_train_004841 | 39,573 | no_license | [
{
"docstring": "Backend-specific quotes should be used Table and field names should be quoted with the quote_name function provided by the database backend. The test here is a bit trivial since a real-life test case with PostgreSQL schema tricks or other table/field name munging would be difficult.",
"name"... | 2 | null | Implement the Python class `QuotingTestCase` described below.
Class description:
Ensure correct quoting of table and field names in queries
Method signatures and docstrings:
- def test_uses_backend_specific_quoting(self): Backend-specific quotes should be used Table and field names should be quoted with the quote_nam... | Implement the Python class `QuotingTestCase` described below.
Class description:
Ensure correct quoting of table and field names in queries
Method signatures and docstrings:
- def test_uses_backend_specific_quoting(self): Backend-specific quotes should be used Table and field names should be quoted with the quote_nam... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class QuotingTestCase:
"""Ensure correct quoting of table and field names in queries"""
def test_uses_backend_specific_quoting(self):
"""Backend-specific quotes should be used Table and field names should be quoted with the quote_name function provided by the database backend. The test her... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class QuotingTestCase:
"""Ensure correct quoting of table and field names in queries"""
def test_uses_backend_specific_quoting(self):
"""Backend-specific quotes should be used Table and field names should be quoted with the quote_name function provided by the database backend. The test here is a bit tr... | the_stack_v2_python_sparse | repoData/lilspikey-django-batch-select/allPythonContent.py | aCoffeeYin/pyreco | train | 0 |
9791e5658365f86124c8501423c9844651c25687 | [
"noval_lis = response.xpath('//ul[@class=\"all-img-list cf\"]/li')\nfor noval_li in noval_lis:\n novalItem = QidianNovalItem()\n novalItem['coverImage'] = 'https:' + noval_li.xpath('.//div[@class=\"book-img-box\"]//img/@src').extract_first('')\n novalItem['coverImage'] = 'https:' + noval_li.css('div.book-i... | <|body_start_0|>
noval_lis = response.xpath('//ul[@class="all-img-list cf"]/li')
for noval_li in noval_lis:
novalItem = QidianNovalItem()
novalItem['coverImage'] = 'https:' + noval_li.xpath('.//div[@class="book-img-box"]//img/@src').extract_first('')
novalItem['coverI... | QdSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QdSpider:
def parse(self, response):
"""获取当前页书籍的列表，遍历 :param response: :return:"""
<|body_0|>
def parse_noval_detail(self, response):
"""获取书籍详情信息，提取章节信息 :param response: :return:"""
<|body_1|>
def parse_dynamic_chpater(self, response):
"""解析动态加载的... | stack_v2_sparse_classes_10k_train_004842 | 6,824 | no_license | [
{
"docstring": "获取当前页书籍的列表，遍历 :param response: :return:",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "获取书籍详情信息，提取章节信息 :param response: :return:",
"name": "parse_noval_detail",
"signature": "def parse_noval_detail(self, response)"
},
{
"docstring":... | 4 | stack_v2_sparse_classes_30k_train_001321 | Implement the Python class `QdSpider` described below.
Class description:
Implement the QdSpider class.
Method signatures and docstrings:
- def parse(self, response): 获取当前页书籍的列表，遍历 :param response: :return:
- def parse_noval_detail(self, response): 获取书籍详情信息，提取章节信息 :param response: :return:
- def parse_dynamic_chpater... | Implement the Python class `QdSpider` described below.
Class description:
Implement the QdSpider class.
Method signatures and docstrings:
- def parse(self, response): 获取当前页书籍的列表，遍历 :param response: :return:
- def parse_noval_detail(self, response): 获取书籍详情信息，提取章节信息 :param response: :return:
- def parse_dynamic_chpater... | 15e1322dcc36de4f1d1e467525761746cadb58fa | <|skeleton|>
class QdSpider:
def parse(self, response):
"""获取当前页书籍的列表，遍历 :param response: :return:"""
<|body_0|>
def parse_noval_detail(self, response):
"""获取书籍详情信息，提取章节信息 :param response: :return:"""
<|body_1|>
def parse_dynamic_chpater(self, response):
"""解析动态加载的... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class QdSpider:
def parse(self, response):
"""获取当前页书籍的列表，遍历 :param response: :return:"""
noval_lis = response.xpath('//ul[@class="all-img-list cf"]/li')
for noval_li in noval_lis:
novalItem = QidianNovalItem()
novalItem['coverImage'] = 'https:' + noval_li.xpath('.//di... | the_stack_v2_python_sparse | Code/爬虫/scrapy框架/qidian3/qidian/qidian/spiders/qd.py | wangxuyongkang/chengxuyuanhh | train | 1 | |
29e410f316a23309c2b6ec290b4b3c340e6b8022 | [
"before_head = ListNode(0)\nbefore_head.next = head\nlength = 0\nnode = before_head\nwhile node:\n length += 1\n node = node.next\nlength = length - n\nnode = before_head\nfor _ in range(length - 1):\n node = node.next\nnode.next = node.next.next\nreturn before_head.next",
"before_head = ListNode(0)\nbef... | <|body_start_0|>
before_head = ListNode(0)
before_head.next = head
length = 0
node = before_head
while node:
length += 1
node = node.next
length = length - n
node = before_head
for _ in range(length - 1):
node = node.nex... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeNthFromEnd_twice(self, head: ListNode, n: int):
"""双遍历法， 第一次得出链表长度； 第二次删除结点。 时间复杂度O(L)L为链表长度，操作执行了 2L-n2L−n 步，时间复杂度为 O(L)O(L)。 空间复杂度：O(1)常量级额外空间。 :param head: :param n: :return:ListNode"""
<|body_0|>
def removeNthFromEnd_onece(self, head: ListNode, n: int... | stack_v2_sparse_classes_10k_train_004843 | 3,536 | no_license | [
{
"docstring": "双遍历法， 第一次得出链表长度； 第二次删除结点。 时间复杂度O(L)L为链表长度，操作执行了 2L-n2L−n 步，时间复杂度为 O(L)O(L)。 空间复杂度：O(1)常量级额外空间。 :param head: :param n: :return:ListNode",
"name": "removeNthFromEnd_twice",
"signature": "def removeNthFromEnd_twice(self, head: ListNode, n: int)"
},
{
"docstring": "单次遍历法， 快慢指针，后一个指针慢... | 2 | stack_v2_sparse_classes_30k_train_001460 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeNthFromEnd_twice(self, head: ListNode, n: int): 双遍历法， 第一次得出链表长度； 第二次删除结点。 时间复杂度O(L)L为链表长度，操作执行了 2L-n2L−n 步，时间复杂度为 O(L)O(L)。 空间复杂度：O(1)常量级额外空间。 :param head: :param n: :r... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeNthFromEnd_twice(self, head: ListNode, n: int): 双遍历法， 第一次得出链表长度； 第二次删除结点。 时间复杂度O(L)L为链表长度，操作执行了 2L-n2L−n 步，时间复杂度为 O(L)O(L)。 空间复杂度：O(1)常量级额外空间。 :param head: :param n: :r... | 62ad010a992c031e8c0fe4d1a9b6f9364f96ed4c | <|skeleton|>
class Solution:
def removeNthFromEnd_twice(self, head: ListNode, n: int):
"""双遍历法， 第一次得出链表长度； 第二次删除结点。 时间复杂度O(L)L为链表长度，操作执行了 2L-n2L−n 步，时间复杂度为 O(L)O(L)。 空间复杂度：O(1)常量级额外空间。 :param head: :param n: :return:ListNode"""
<|body_0|>
def removeNthFromEnd_onece(self, head: ListNode, n: int... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def removeNthFromEnd_twice(self, head: ListNode, n: int):
"""双遍历法， 第一次得出链表长度； 第二次删除结点。 时间复杂度O(L)L为链表长度，操作执行了 2L-n2L−n 步，时间复杂度为 O(L)O(L)。 空间复杂度：O(1)常量级额外空间。 :param head: :param n: :return:ListNode"""
before_head = ListNode(0)
before_head.next = head
length = 0
... | the_stack_v2_python_sparse | leetcode/solved/019_.py | usnnu/python_foundation | train | 0 | |
fe92d06a52de1b051d244e5cb360594f948fe353 | [
"url = self.ip + '/api/scm/auth/scm/scmPoD/detailList.do'\nparams = {'status': 'NotReceived', 'poCode': order_no}\nr = self.s.post(url=url, params=params)\nreturn r.json()",
"url = self.ip + '/api/scm//auth/scm/scmPoD/receive.do'\nparams = {'status': 'Received', 'deliveryDay': get_future_date(7), 'ids': ids}\nr =... | <|body_start_0|>
url = self.ip + '/api/scm/auth/scm/scmPoD/detailList.do'
params = {'status': 'NotReceived', 'poCode': order_no}
r = self.s.post(url=url, params=params)
return r.json()
<|end_body_0|>
<|body_start_1|>
url = self.ip + '/api/scm//auth/scm/scmPoD/receive.do'
... | B2BPurchaseOrder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class B2BPurchaseOrder:
def purchase_order_search_by_no(self, order_no):
"""通过采购订单号查询采购订单明细 :param order_no: 采购订单号 :return:"""
<|body_0|>
def receive_purchase_order(self, ids):
"""供应商订单确认 :param ids: 明细id :return:"""
<|body_1|>
def return_purchase_order(self, ... | stack_v2_sparse_classes_10k_train_004844 | 2,159 | no_license | [
{
"docstring": "通过采购订单号查询采购订单明细 :param order_no: 采购订单号 :return:",
"name": "purchase_order_search_by_no",
"signature": "def purchase_order_search_by_no(self, order_no)"
},
{
"docstring": "供应商订单确认 :param ids: 明细id :return:",
"name": "receive_purchase_order",
"signature": "def receive_purch... | 4 | stack_v2_sparse_classes_30k_train_003415 | Implement the Python class `B2BPurchaseOrder` described below.
Class description:
Implement the B2BPurchaseOrder class.
Method signatures and docstrings:
- def purchase_order_search_by_no(self, order_no): 通过采购订单号查询采购订单明细 :param order_no: 采购订单号 :return:
- def receive_purchase_order(self, ids): 供应商订单确认 :param ids: 明细id... | Implement the Python class `B2BPurchaseOrder` described below.
Class description:
Implement the B2BPurchaseOrder class.
Method signatures and docstrings:
- def purchase_order_search_by_no(self, order_no): 通过采购订单号查询采购订单明细 :param order_no: 采购订单号 :return:
- def receive_purchase_order(self, ids): 供应商订单确认 :param ids: 明细id... | 26d2ae773a999fd8446e18f9c0719d46402b19aa | <|skeleton|>
class B2BPurchaseOrder:
def purchase_order_search_by_no(self, order_no):
"""通过采购订单号查询采购订单明细 :param order_no: 采购订单号 :return:"""
<|body_0|>
def receive_purchase_order(self, ids):
"""供应商订单确认 :param ids: 明细id :return:"""
<|body_1|>
def return_purchase_order(self, ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class B2BPurchaseOrder:
def purchase_order_search_by_no(self, order_no):
"""通过采购订单号查询采购订单明细 :param order_no: 采购订单号 :return:"""
url = self.ip + '/api/scm/auth/scm/scmPoD/detailList.do'
params = {'status': 'NotReceived', 'poCode': order_no}
r = self.s.post(url=url, params=params)
... | the_stack_v2_python_sparse | api/B2B_purchase_order_api.py | Leofighting/dimi_api_test | train | 0 | |
c34fb1d0a867859dfc425bf4de2cf0985197f464 | [
"with open(calls_dir + self.complexity + '.py', 'r') as f:\n self.code_cfg = f.read()\nself.R_rates = Rrates(self.R_rates)\nassert self.N > 1, 'N should be >1'\nassert self.trim <= 0, 'trim should be negative or zero'\nself.init_date = strevaldate(self.init_date)\nassert os.path.exists(self.workdir), 'Workdir ' ... | <|body_start_0|>
with open(calls_dir + self.complexity + '.py', 'r') as f:
self.code_cfg = f.read()
self.R_rates = Rrates(self.R_rates)
assert self.N > 1, 'N should be >1'
assert self.trim <= 0, 'trim should be negative or zero'
self.init_date = strevaldate(self.init_... | Creates model call. | ModelCall | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelCall:
"""Creates model call."""
def __post_init__(self):
"""Model Call."""
<|body_0|>
def gencode(self):
"""Create Model Call code."""
<|body_1|>
def unusedVars(self):
"""Find defined, yet unused variables."""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_10k_train_004845 | 9,166 | permissive | [
{
"docstring": "Model Call.",
"name": "__post_init__",
"signature": "def __post_init__(self)"
},
{
"docstring": "Create Model Call code.",
"name": "gencode",
"signature": "def gencode(self)"
},
{
"docstring": "Find defined, yet unused variables.",
"name": "unusedVars",
"s... | 3 | stack_v2_sparse_classes_30k_train_000892 | Implement the Python class `ModelCall` described below.
Class description:
Creates model call.
Method signatures and docstrings:
- def __post_init__(self): Model Call.
- def gencode(self): Create Model Call code.
- def unusedVars(self): Find defined, yet unused variables. | Implement the Python class `ModelCall` described below.
Class description:
Creates model call.
Method signatures and docstrings:
- def __post_init__(self): Model Call.
- def gencode(self): Create Model Call code.
- def unusedVars(self): Find defined, yet unused variables.
<|skeleton|>
class ModelCall:
"""Creates... | 2d7e3621b472146a262745900ab143ba18ba0340 | <|skeleton|>
class ModelCall:
"""Creates model call."""
def __post_init__(self):
"""Model Call."""
<|body_0|>
def gencode(self):
"""Create Model Call code."""
<|body_1|>
def unusedVars(self):
"""Find defined, yet unused variables."""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ModelCall:
"""Creates model call."""
def __post_init__(self):
"""Model Call."""
with open(calls_dir + self.complexity + '.py', 'r') as f:
self.code_cfg = f.read()
self.R_rates = Rrates(self.R_rates)
assert self.N > 1, 'N should be >1'
assert self.trim <... | the_stack_v2_python_sparse | victoriaepi/configparsing/modelcalls.py | victoriaepidemics/Victoria | train | 5 |
ba895f997106d4fd656ba44b2994b363a664f2d5 | [
"params = Response(job_id=job_id)\nlog.info('删除任务[params: %s]' % str(params))\nreturn params",
"params = Response(job_id=job_id)\nlog.info('获取任务[params: %s]' % str(params))\nreturn params",
"payload = get_payload()\nparams = Response(job_id=job_id, interface_id=int(payload.get('interface_id', 0)), job_name=payl... | <|body_start_0|>
params = Response(job_id=job_id)
log.info('删除任务[params: %s]' % str(params))
return params
<|end_body_0|>
<|body_start_1|>
params = Response(job_id=job_id)
log.info('获取任务[params: %s]' % str(params))
return params
<|end_body_1|>
<|body_start_2|>
p... | JobDetail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JobDetail:
def delete(job_id):
"""删除任务"""
<|body_0|>
def get(job_id):
"""获取任务"""
<|body_1|>
def put(job_id):
"""修改任务"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
params = Response(job_id=job_id)
log.info('删除任务[params:... | stack_v2_sparse_classes_10k_train_004846 | 6,246 | no_license | [
{
"docstring": "删除任务",
"name": "delete",
"signature": "def delete(job_id)"
},
{
"docstring": "获取任务",
"name": "get",
"signature": "def get(job_id)"
},
{
"docstring": "修改任务",
"name": "put",
"signature": "def put(job_id)"
}
] | 3 | stack_v2_sparse_classes_30k_train_000401 | Implement the Python class `JobDetail` described below.
Class description:
Implement the JobDetail class.
Method signatures and docstrings:
- def delete(job_id): 删除任务
- def get(job_id): 获取任务
- def put(job_id): 修改任务 | Implement the Python class `JobDetail` described below.
Class description:
Implement the JobDetail class.
Method signatures and docstrings:
- def delete(job_id): 删除任务
- def get(job_id): 获取任务
- def put(job_id): 修改任务
<|skeleton|>
class JobDetail:
def delete(job_id):
"""删除任务"""
<|body_0|>
def ... | 0374684612a13af1e4d41dcd97ba8c80ecd89710 | <|skeleton|>
class JobDetail:
def delete(job_id):
"""删除任务"""
<|body_0|>
def get(job_id):
"""获取任务"""
<|body_1|>
def put(job_id):
"""修改任务"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class JobDetail:
def delete(job_id):
"""删除任务"""
params = Response(job_id=job_id)
log.info('删除任务[params: %s]' % str(params))
return params
def get(job_id):
"""获取任务"""
params = Response(job_id=job_id)
log.info('获取任务[params: %s]' % str(params))
retur... | the_stack_v2_python_sparse | resources/job.py | ChanningWong/HCNDC-web | train | 0 | |
1cb7e12870b02736a70ac0bc4dc678eea4cf5a88 | [
"self.stack = []\nself.max_size = 5\nself.top = 0",
"if self.top == self.max_size:\n print('Stack Overflow\\n')\nelse:\n self.stack.append(item)\n self.top += 1",
"if self.top == 0:\n print('Stack Underflow\\n')\nelse:\n self.stack.pop()\n self.top -= 1",
"if self.top == 0:\n print('Stack... | <|body_start_0|>
self.stack = []
self.max_size = 5
self.top = 0
<|end_body_0|>
<|body_start_1|>
if self.top == self.max_size:
print('Stack Overflow\n')
else:
self.stack.append(item)
self.top += 1
<|end_body_1|>
<|body_start_2|>
if sel... | The class Stack contains all the helper functions for stack implementation. | Stack | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Stack:
"""The class Stack contains all the helper functions for stack implementation."""
def __init__(self):
"""Arguments: self -- reference to the object."""
<|body_0|>
def push(self, item):
"""The function will push the required item to the stack. Arguments: se... | stack_v2_sparse_classes_10k_train_004847 | 1,815 | no_license | [
{
"docstring": "Arguments: self -- reference to the object.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "The function will push the required item to the stack. Arguments: self -- reference to the object. item -- item to be pushed.",
"name": "push",
"signatur... | 4 | stack_v2_sparse_classes_30k_test_000352 | Implement the Python class `Stack` described below.
Class description:
The class Stack contains all the helper functions for stack implementation.
Method signatures and docstrings:
- def __init__(self): Arguments: self -- reference to the object.
- def push(self, item): The function will push the required item to the... | Implement the Python class `Stack` described below.
Class description:
The class Stack contains all the helper functions for stack implementation.
Method signatures and docstrings:
- def __init__(self): Arguments: self -- reference to the object.
- def push(self, item): The function will push the required item to the... | 6870426104aef417086788221dad29e887ddfe3f | <|skeleton|>
class Stack:
"""The class Stack contains all the helper functions for stack implementation."""
def __init__(self):
"""Arguments: self -- reference to the object."""
<|body_0|>
def push(self, item):
"""The function will push the required item to the stack. Arguments: se... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Stack:
"""The class Stack contains all the helper functions for stack implementation."""
def __init__(self):
"""Arguments: self -- reference to the object."""
self.stack = []
self.max_size = 5
self.top = 0
def push(self, item):
"""The function will push the re... | the_stack_v2_python_sparse | Data Structure/02. Stack/01. Stack Implementation/py_code.py | Slothfulwave612/Coding-Problems | train | 5 |
8cb5ee0e7fa87bca8beeb005f6cc9b75065fc694 | [
"mile_rule = self.env.ref('metro_park_base_data_10.repair_rule_l')\nfor record in self:\n if record.rule and record.rule.id == mile_rule.id:\n record.is_mile = True",
"if len(self) == 0:\n return\nfor record in self:\n if not record.plan_id or not record.dev:\n continue\n pre_date_train_... | <|body_start_0|>
mile_rule = self.env.ref('metro_park_base_data_10.repair_rule_l')
for record in self:
if record.rule and record.rule.id == mile_rule.id:
record.is_mile = True
<|end_body_0|>
<|body_start_1|>
if len(self) == 0:
return
for record in... | 日计划设备检修信息，包含计划内容和日常维护及运行内容 | RuleInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RuleInfo:
"""日计划设备检修信息，包含计划内容和日常维护及运行内容"""
def _compute_is_mile(self):
"""计算是否为公里数 :return:"""
<|body_0|>
def _compute_last_repair_info(self):
"""计算上次里程修信息 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
mile_rule = self.env.ref('metro_... | stack_v2_sparse_classes_10k_train_004848 | 1,559 | no_license | [
{
"docstring": "计算是否为公里数 :return:",
"name": "_compute_is_mile",
"signature": "def _compute_is_mile(self)"
},
{
"docstring": "计算上次里程修信息 :return:",
"name": "_compute_last_repair_info",
"signature": "def _compute_last_repair_info(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006616 | Implement the Python class `RuleInfo` described below.
Class description:
日计划设备检修信息，包含计划内容和日常维护及运行内容
Method signatures and docstrings:
- def _compute_is_mile(self): 计算是否为公里数 :return:
- def _compute_last_repair_info(self): 计算上次里程修信息 :return: | Implement the Python class `RuleInfo` described below.
Class description:
日计划设备检修信息，包含计划内容和日常维护及运行内容
Method signatures and docstrings:
- def _compute_is_mile(self): 计算是否为公里数 :return:
- def _compute_last_repair_info(self): 计算上次里程修信息 :return:
<|skeleton|>
class RuleInfo:
"""日计划设备检修信息，包含计划内容和日常维护及运行内容"""
def _... | 13b428a5c4ade6278e3e5e996ef10d9fb0fea4b9 | <|skeleton|>
class RuleInfo:
"""日计划设备检修信息，包含计划内容和日常维护及运行内容"""
def _compute_is_mile(self):
"""计算是否为公里数 :return:"""
<|body_0|>
def _compute_last_repair_info(self):
"""计算上次里程修信息 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RuleInfo:
"""日计划设备检修信息，包含计划内容和日常维护及运行内容"""
def _compute_is_mile(self):
"""计算是否为公里数 :return:"""
mile_rule = self.env.ref('metro_park_base_data_10.repair_rule_l')
for record in self:
if record.rule and record.rule.id == mile_rule.id:
record.is_mile = True... | the_stack_v2_python_sparse | mdias_addons/metro_park_base_data_10/models/plan_date_rule_info.py | rezaghanimi/main_mdias | train | 0 |
106608ec916d8fda7aa5c9b67190395162accb91 | [
"data.config.fps = self.read_int(root, self.FPS, data.config.fps)\ndata.config.max_frame_time = self.read_float(root, self.MAX_FRAME_TIME, data.config.max_frame_time)\ndata.config.num_fps_avg = self.read_int(root, self.NUM_FPS_AVG, data.config.num_fps_avg)\ndata.config.render_decision_trees = self.read_boolean(root... | <|body_start_0|>
data.config.fps = self.read_int(root, self.FPS, data.config.fps)
data.config.max_frame_time = self.read_float(root, self.MAX_FRAME_TIME, data.config.max_frame_time)
data.config.num_fps_avg = self.read_int(root, self.NUM_FPS_AVG, data.config.num_fps_avg)
data.config.rende... | Yaml reader for config types. Constants: ACTION FPS KEY KEYS MAX_FRAME_TIME NUM_FPS_AVG RENDER_DECISION_TREES SCROLL_WIDTH_X SCROLL_WIDTH_Y STATE_ID VIEW_X VIEW_Y WINDOW_TITLE | YamlConfigReader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class YamlConfigReader:
"""Yaml reader for config types. Constants: ACTION FPS KEY KEYS MAX_FRAME_TIME NUM_FPS_AVG RENDER_DECISION_TREES SCROLL_WIDTH_X SCROLL_WIDTH_Y STATE_ID VIEW_X VIEW_Y WINDOW_TITLE"""
def parse(self, root, data):
"""Parse the game structure. Writes the parsed informat... | stack_v2_sparse_classes_10k_train_004849 | 2,266 | no_license | [
{
"docstring": "Parse the game structure. Writes the parsed information into the data object.",
"name": "parse",
"signature": "def parse(self, root, data)"
},
{
"docstring": "Parse keys.",
"name": "__keys",
"signature": "def __keys(self, root, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007315 | Implement the Python class `YamlConfigReader` described below.
Class description:
Yaml reader for config types. Constants: ACTION FPS KEY KEYS MAX_FRAME_TIME NUM_FPS_AVG RENDER_DECISION_TREES SCROLL_WIDTH_X SCROLL_WIDTH_Y STATE_ID VIEW_X VIEW_Y WINDOW_TITLE
Method signatures and docstrings:
- def parse(self, root, da... | Implement the Python class `YamlConfigReader` described below.
Class description:
Yaml reader for config types. Constants: ACTION FPS KEY KEYS MAX_FRAME_TIME NUM_FPS_AVG RENDER_DECISION_TREES SCROLL_WIDTH_X SCROLL_WIDTH_Y STATE_ID VIEW_X VIEW_Y WINDOW_TITLE
Method signatures and docstrings:
- def parse(self, root, da... | c38b43edb7ec54f18768564c42859195bc2477e4 | <|skeleton|>
class YamlConfigReader:
"""Yaml reader for config types. Constants: ACTION FPS KEY KEYS MAX_FRAME_TIME NUM_FPS_AVG RENDER_DECISION_TREES SCROLL_WIDTH_X SCROLL_WIDTH_Y STATE_ID VIEW_X VIEW_Y WINDOW_TITLE"""
def parse(self, root, data):
"""Parse the game structure. Writes the parsed informat... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class YamlConfigReader:
"""Yaml reader for config types. Constants: ACTION FPS KEY KEYS MAX_FRAME_TIME NUM_FPS_AVG RENDER_DECISION_TREES SCROLL_WIDTH_X SCROLL_WIDTH_Y STATE_ID VIEW_X VIEW_Y WINDOW_TITLE"""
def parse(self, root, data):
"""Parse the game structure. Writes the parsed information into the ... | the_stack_v2_python_sparse | python-prototype/config/configreader.py | tea2code/fantasy-rts | train | 0 |
f0d7d0a5b878b74c30b96cfaddc37c69646c1895 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn WindowsAutopilotDeviceIdentity()",
"from .enrollment_state import EnrollmentState\nfrom .entity import Entity\nfrom .enrollment_state import EnrollmentState\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any], None]] = {'addr... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return WindowsAutopilotDeviceIdentity()
<|end_body_0|>
<|body_start_1|>
from .enrollment_state import EnrollmentState
from .entity import Entity
from .enrollment_state import Enrollment... | The windowsAutopilotDeviceIdentity resource represents a Windows Autopilot Device. | WindowsAutopilotDeviceIdentity | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsAutopilotDeviceIdentity:
"""The windowsAutopilotDeviceIdentity resource represents a Windows Autopilot Device."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsAutopilotDeviceIdentity:
"""Creates a new instance of the appropriate class bas... | stack_v2_sparse_classes_10k_train_004850 | 6,119 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: WindowsAutopilotDeviceIdentity",
"name": "create_from_discriminator_value",
"signature": "def create_from_di... | 3 | stack_v2_sparse_classes_30k_test_000088 | Implement the Python class `WindowsAutopilotDeviceIdentity` described below.
Class description:
The windowsAutopilotDeviceIdentity resource represents a Windows Autopilot Device.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsAutopilotDeviceIden... | Implement the Python class `WindowsAutopilotDeviceIdentity` described below.
Class description:
The windowsAutopilotDeviceIdentity resource represents a Windows Autopilot Device.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsAutopilotDeviceIden... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class WindowsAutopilotDeviceIdentity:
"""The windowsAutopilotDeviceIdentity resource represents a Windows Autopilot Device."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsAutopilotDeviceIdentity:
"""Creates a new instance of the appropriate class bas... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class WindowsAutopilotDeviceIdentity:
"""The windowsAutopilotDeviceIdentity resource represents a Windows Autopilot Device."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsAutopilotDeviceIdentity:
"""Creates a new instance of the appropriate class based on discrim... | the_stack_v2_python_sparse | msgraph/generated/models/windows_autopilot_device_identity.py | microsoftgraph/msgraph-sdk-python | train | 135 |
fce59d35390e58115b540b80fb507735f53a267c | [
"valid, message = json_validate(nrange, {'type': 'object', 'properties': {'lower': {'$ref': '#/pScheduler/Numeric'}, 'upper': {'$ref': '#/pScheduler/Numeric'}}, 'additionalProperties': False, 'required': ['lower', 'upper']})\nif not valid:\n raise ValueError('Invalid numeric range: %s' % message)\nlower = nrange... | <|body_start_0|>
valid, message = json_validate(nrange, {'type': 'object', 'properties': {'lower': {'$ref': '#/pScheduler/Numeric'}, 'upper': {'$ref': '#/pScheduler/Numeric'}}, 'additionalProperties': False, 'required': ['lower', 'upper']})
if not valid:
raise ValueError('Invalid numeric ran... | Range of numbers | NumericRange | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumericRange:
"""Range of numbers"""
def __init__(self, nrange):
"""Construct a range from a JSON NumericRange."""
<|body_0|>
def __contains__(self, number):
"""See if the range contains the specified number, which can be any Numeric."""
<|body_1|>
d... | stack_v2_sparse_classes_10k_train_004851 | 2,607 | permissive | [
{
"docstring": "Construct a range from a JSON NumericRange.",
"name": "__init__",
"signature": "def __init__(self, nrange)"
},
{
"docstring": "See if the range contains the specified number, which can be any Numeric.",
"name": "__contains__",
"signature": "def __contains__(self, number)"... | 3 | stack_v2_sparse_classes_30k_test_000153 | Implement the Python class `NumericRange` described below.
Class description:
Range of numbers
Method signatures and docstrings:
- def __init__(self, nrange): Construct a range from a JSON NumericRange.
- def __contains__(self, number): See if the range contains the specified number, which can be any Numeric.
- def c... | Implement the Python class `NumericRange` described below.
Class description:
Range of numbers
Method signatures and docstrings:
- def __init__(self, nrange): Construct a range from a JSON NumericRange.
- def __contains__(self, number): See if the range contains the specified number, which can be any Numeric.
- def c... | f6d04c0455e5be4d490df16ec1acb377f9025d9f | <|skeleton|>
class NumericRange:
"""Range of numbers"""
def __init__(self, nrange):
"""Construct a range from a JSON NumericRange."""
<|body_0|>
def __contains__(self, number):
"""See if the range contains the specified number, which can be any Numeric."""
<|body_1|>
d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class NumericRange:
"""Range of numbers"""
def __init__(self, nrange):
"""Construct a range from a JSON NumericRange."""
valid, message = json_validate(nrange, {'type': 'object', 'properties': {'lower': {'$ref': '#/pScheduler/Numeric'}, 'upper': {'$ref': '#/pScheduler/Numeric'}}, 'additionalPro... | the_stack_v2_python_sparse | python-pscheduler/pscheduler/pscheduler/numericrange.py | perfsonar/pscheduler | train | 53 |
8fb919f2a151a8a579f812aecd079f6dab826d28 | [
"super(InversePunisher, self).__init__()\nself.history = []\nself.mem_length = 1\nself.grudged = False\nself.grudge_memory = 1",
"if self.grudge_memory >= self.mem_length:\n self.grudge_memory = 0\n self.grudged = False\nif self.grudged:\n self.grudge_memory += 1\n return 'D'\nelif 'D' in opponent.his... | <|body_start_0|>
super(InversePunisher, self).__init__()
self.history = []
self.mem_length = 1
self.grudged = False
self.grudge_memory = 1
<|end_body_0|>
<|body_start_1|>
if self.grudge_memory >= self.mem_length:
self.grudge_memory = 0
self.grudge... | A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played 'C'. The inverse of Punisher | InversePunisher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InversePunisher:
"""A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played 'C'. The inverse of Punisher"""
def __init__(self):
... | stack_v2_sparse_classes_10k_train_004852 | 3,311 | permissive | [
{
"docstring": "Initialised the player",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Begins by playing C, then plays D for an amount of rounds proportional to the opponents historical '%' of playing 'C' if the opponent ever plays D",
"name": "strategy",
"sign... | 3 | stack_v2_sparse_classes_30k_test_000291 | Implement the Python class `InversePunisher` described below.
Class description:
A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played 'C'. The inverse of Pun... | Implement the Python class `InversePunisher` described below.
Class description:
A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played 'C'. The inverse of Pun... | 0ce3aa29eb239b9a9055cd7bebb627602851b65a | <|skeleton|>
class InversePunisher:
"""A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played 'C'. The inverse of Punisher"""
def __init__(self):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class InversePunisher:
"""A player starts by cooperating however will defect if at any point the opponent has defected, but forgets after meme_length matches, with 1<=mem_length<=20 proportional to the amount of time the opponent has played 'C'. The inverse of Punisher"""
def __init__(self):
"""Initial... | the_stack_v2_python_sparse | axelrod/strategies/punisher.py | jamesbroadhead/Axelrod | train | 1 |
06fa5eb377475ec063b4c10df95fe89990487693 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn MobileThreatDefenseConnector()",
"from .entity import Entity\nfrom .mobile_threat_partner_tenant_state import MobileThreatPartnerTenantState\nfrom .entity import Entity\nfrom .mobile_threat_partner_tenant_state import MobileThreatPartn... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return MobileThreatDefenseConnector()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .mobile_threat_partner_tenant_state import MobileThreatPartnerTenantState
from .ent... | Entity which represents a connection to Mobile Threat Defense partner. | MobileThreatDefenseConnector | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MobileThreatDefenseConnector:
"""Entity which represents a connection to Mobile Threat Defense partner."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector:
"""Creates a new instance of the appropriate class based on discrimina... | stack_v2_sparse_classes_10k_train_004853 | 10,079 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: MobileThreatDefenseConnector",
"name": "create_from_discriminator_value",
"signature": "def create_from_disc... | 3 | null | Implement the Python class `MobileThreatDefenseConnector` described below.
Class description:
Entity which represents a connection to Mobile Threat Defense partner.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector: Creates a ... | Implement the Python class `MobileThreatDefenseConnector` described below.
Class description:
Entity which represents a connection to Mobile Threat Defense partner.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector: Creates a ... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class MobileThreatDefenseConnector:
"""Entity which represents a connection to Mobile Threat Defense partner."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector:
"""Creates a new instance of the appropriate class based on discrimina... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MobileThreatDefenseConnector:
"""Entity which represents a connection to Mobile Threat Defense partner."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MobileThreatDefenseConnector:
"""Creates a new instance of the appropriate class based on discriminator value Arg... | the_stack_v2_python_sparse | msgraph/generated/models/mobile_threat_defense_connector.py | microsoftgraph/msgraph-sdk-python | train | 135 |
24eda61b4eb9bf82940f548487f7ff09425ca867 | [
"if minfo is None:\n minfo = {}\nsuper(DumpJournalValueMessage, self).__init__(minfo)\nself.IsSystemMessage = False\nself.IsForward = True\nself.IsReliable = True\nself.TransactionType = minfo.get('TransactionType')\nself.Name = minfo.get('Name')",
"result = super(DumpJournalValueMessage, self).dump()\nresult[... | <|body_start_0|>
if minfo is None:
minfo = {}
super(DumpJournalValueMessage, self).__init__(minfo)
self.IsSystemMessage = False
self.IsForward = True
self.IsReliable = True
self.TransactionType = minfo.get('TransactionType')
self.Name = minfo.get('Name... | Represents the message format for exchanging dump journal value messages. Attributes: DumpJournalValueMessage.MessageType (str): The class name of the message. IsSystemMessage (bool): Whether or not this message is a system message. IsForward (bool): Whether or not this message is forwarded. IsReliable (bool): Whether ... | DumpJournalValueMessage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DumpJournalValueMessage:
"""Represents the message format for exchanging dump journal value messages. Attributes: DumpJournalValueMessage.MessageType (str): The class name of the message. IsSystemMessage (bool): Whether or not this message is a system message. IsForward (bool): Whether or not thi... | stack_v2_sparse_classes_10k_train_004854 | 5,835 | permissive | [
{
"docstring": "Constructor for the DumpJournalValueMessage class. Args: minfo (dict): A dict containing initial values for the new DumpJournalValueMessage.",
"name": "__init__",
"signature": "def __init__(self, minfo=None)"
},
{
"docstring": "Returns a dict containing information about the Dump... | 2 | stack_v2_sparse_classes_30k_train_002859 | Implement the Python class `DumpJournalValueMessage` described below.
Class description:
Represents the message format for exchanging dump journal value messages. Attributes: DumpJournalValueMessage.MessageType (str): The class name of the message. IsSystemMessage (bool): Whether or not this message is a system messag... | Implement the Python class `DumpJournalValueMessage` described below.
Class description:
Represents the message format for exchanging dump journal value messages. Attributes: DumpJournalValueMessage.MessageType (str): The class name of the message. IsSystemMessage (bool): Whether or not this message is a system messag... | 8f4ca1aab54ef420a0db10c8ca822ec8686cd423 | <|skeleton|>
class DumpJournalValueMessage:
"""Represents the message format for exchanging dump journal value messages. Attributes: DumpJournalValueMessage.MessageType (str): The class name of the message. IsSystemMessage (bool): Whether or not this message is a system message. IsForward (bool): Whether or not thi... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DumpJournalValueMessage:
"""Represents the message format for exchanging dump journal value messages. Attributes: DumpJournalValueMessage.MessageType (str): The class name of the message. IsSystemMessage (bool): Whether or not this message is a system message. IsForward (bool): Whether or not this message is ... | the_stack_v2_python_sparse | validator/journal/messages/journal_debug.py | aludvik/sawtooth-core | train | 0 |
f293e995798043f7762271848af4a97fd2196df8 | [
"suites = []\nfor s in cls.SUITES:\n s['tests'] = cls._get_tests(s)\n s['approxRunTime'] = cls._get_average_run_time(suite_model)\n suites.append(s)\nreturn suites",
"suite_file_name = '{}.py'.format(str(suite['id']).replace('.', os.path.sep))\nwith open(suite_file_name) as f:\n file_contents = f.read... | <|body_start_0|>
suites = []
for s in cls.SUITES:
s['tests'] = cls._get_tests(s)
s['approxRunTime'] = cls._get_average_run_time(suite_model)
suites.append(s)
return suites
<|end_body_0|>
<|body_start_1|>
suite_file_name = '{}.py'.format(str(suite['id'... | Available test suites provider | SuiteProvider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SuiteProvider:
"""Available test suites provider"""
def get_list(cls, suite_model) -> list:
"""Return list of available test suites"""
<|body_0|>
def _get_tests(cls, suite: dict):
"""Get suite available tests"""
<|body_1|>
def _get_average_run_time(c... | stack_v2_sparse_classes_10k_train_004855 | 2,492 | no_license | [
{
"docstring": "Return list of available test suites",
"name": "get_list",
"signature": "def get_list(cls, suite_model) -> list"
},
{
"docstring": "Get suite available tests",
"name": "_get_tests",
"signature": "def _get_tests(cls, suite: dict)"
},
{
"docstring": "Get suite avera... | 3 | stack_v2_sparse_classes_30k_train_000451 | Implement the Python class `SuiteProvider` described below.
Class description:
Available test suites provider
Method signatures and docstrings:
- def get_list(cls, suite_model) -> list: Return list of available test suites
- def _get_tests(cls, suite: dict): Get suite available tests
- def _get_average_run_time(cls, ... | Implement the Python class `SuiteProvider` described below.
Class description:
Available test suites provider
Method signatures and docstrings:
- def get_list(cls, suite_model) -> list: Return list of available test suites
- def _get_tests(cls, suite: dict): Get suite available tests
- def _get_average_run_time(cls, ... | 4b9c65cf06912fe92d94b3989e0220aae3a31db4 | <|skeleton|>
class SuiteProvider:
"""Available test suites provider"""
def get_list(cls, suite_model) -> list:
"""Return list of available test suites"""
<|body_0|>
def _get_tests(cls, suite: dict):
"""Get suite available tests"""
<|body_1|>
def _get_average_run_time(c... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SuiteProvider:
"""Available test suites provider"""
def get_list(cls, suite_model) -> list:
"""Return list of available test suites"""
suites = []
for s in cls.SUITES:
s['tests'] = cls._get_tests(s)
s['approxRunTime'] = cls._get_average_run_time(suite_model... | the_stack_v2_python_sparse | project/applications/platform-tests/app/suite_provider.py | trustedanalytics/platform-tests | train | 2 |
083b4d2ef37f45594e501aaebf5bab50273e4ce4 | [
"if root is None:\n return u'{}'\nl = self.serialize(root.left)\nr = self.serialize(root.right)\nreturn u'{}{}:[{},{}]{}'.format('{', root.val, l, r, '}')",
"if data == '{}':\n return None\nval, i, l = (None, 0, len(data))\nfor i in range(1, l):\n if data[i] == ':':\n val = int(data[1:i])\n ... | <|body_start_0|>
if root is None:
return u'{}'
l = self.serialize(root.left)
r = self.serialize(root.right)
return u'{}{}:[{},{}]{}'.format('{', root.val, l, r, '}')
<|end_body_0|>
<|body_start_1|>
if data == '{}':
return None
val, i, l = (None, 0... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_10k_train_004856 | 4,963 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_val_000282 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | d2e8b2dca40fc955045eb62e576c776bad8ee5f1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root is None:
return u'{}'
l = self.serialize(root.left)
r = self.serialize(root.right)
return u'{}{}:[{},{}]{}'.format('{', root.val, l, r, '}')
... | the_stack_v2_python_sparse | delete-node-in-a-bst/solution.py | childe/leetcode | train | 2 | |
24d3b0eb04dc5f105712333dfd3fab3a12da33ed | [
"try:\n qs = PagePermission.objects.subordinate_to_user(request.user)\n return qs.filter(can_view=False)\nexcept NoPermissionsException:\n return self.objects.get_empty_query_set()",
"exclude = self.exclude or []\nif obj:\n if not obj.has_add_permission(request):\n exclude.append('can_add')\n ... | <|body_start_0|>
try:
qs = PagePermission.objects.subordinate_to_user(request.user)
return qs.filter(can_view=False)
except NoPermissionsException:
return self.objects.get_empty_query_set()
<|end_body_0|>
<|body_start_1|>
exclude = self.exclude or []
... | PagePermissionInlineAdmin | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PagePermissionInlineAdmin:
def queryset(self, request):
"""Queryset change, so user with global change permissions can see all permissions. Otherwise can user see only permissions for peoples which are under him (he can't see his permissions, because this will lead to violation, when he ... | stack_v2_sparse_classes_10k_train_004857 | 6,886 | permissive | [
{
"docstring": "Queryset change, so user with global change permissions can see all permissions. Otherwise can user see only permissions for peoples which are under him (he can't see his permissions, because this will lead to violation, when he can add more power to itself)",
"name": "queryset",
"signat... | 2 | null | Implement the Python class `PagePermissionInlineAdmin` described below.
Class description:
Implement the PagePermissionInlineAdmin class.
Method signatures and docstrings:
- def queryset(self, request): Queryset change, so user with global change permissions can see all permissions. Otherwise can user see only permis... | Implement the Python class `PagePermissionInlineAdmin` described below.
Class description:
Implement the PagePermissionInlineAdmin class.
Method signatures and docstrings:
- def queryset(self, request): Queryset change, so user with global change permissions can see all permissions. Otherwise can user see only permis... | abc3fbfb34f791f84e9a9d4dc522966421778ab2 | <|skeleton|>
class PagePermissionInlineAdmin:
def queryset(self, request):
"""Queryset change, so user with global change permissions can see all permissions. Otherwise can user see only permissions for peoples which are under him (he can't see his permissions, because this will lead to violation, when he ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PagePermissionInlineAdmin:
def queryset(self, request):
"""Queryset change, so user with global change permissions can see all permissions. Otherwise can user see only permissions for peoples which are under him (he can't see his permissions, because this will lead to violation, when he can add more p... | the_stack_v2_python_sparse | py/django_tools/django-cms/cms/admin/permissionadmin.py | marceltoben/evandrix.github.com | train | 3 | |
baae2d126980579124c690513037aae4b633096d | [
"res = []\ntotal = 0\nwhile head:\n total += 1\n res.append(head.val)\n head = head.next\nfor i in range(total // 2):\n if res[i] != res[-i - 1]:\n return False\nreturn True",
"res = []\ntotal = 0\nwhile head:\n total += 1\n res.append(head.val)\n head = head.next\nreturn res == res[::... | <|body_start_0|>
res = []
total = 0
while head:
total += 1
res.append(head.val)
head = head.next
for i in range(total // 2):
if res[i] != res[-i - 1]:
return False
return True
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False"""
<|body_0|>
def isPalindromeMethod1(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return... | stack_v2_sparse_classes_10k_train_004858 | 1,748 | no_license | [
{
"docstring": "先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False",
"name": "isPalindrome",
"signature": "def isPalindrome(self, head: ListNode) -> bool"
},
{
"docstring": "先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False",
"name": "isPali... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, head: ListNode) -> bool: 先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False
- def isPalindromeMethod1(self, head: ListNode) -> boo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, head: ListNode) -> bool: 先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False
- def isPalindromeMethod1(self, head: ListNode) -> boo... | af13162360a28a0bcd71918fd8bff77c41ddcc2a | <|skeleton|>
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False"""
<|body_0|>
def isPalindromeMethod1(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindrome(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False"""
res = []
total = 0
while head:
total += 1
res.append(head.val)
head = head.next
for i in range... | the_stack_v2_python_sparse | 算法分析和归类/链表/回文链表.py | Carmenliukang/leetcode | train | 4 | |
1dd8840793332f3881cebaa3f1442f2d61a55931 | [
"self.TIDAL_CLIENT_VERSION = '1.9.1'\nself.TIDAL_API_BASE = 'https://api.tidalhifi.com/v1/'\nself.username = username\nself.token = token\nself.unique_id = str(uuid.uuid4()).replace('-', '')[16:]\nself.auth(password)\npassword = None",
"postParams = {'username': self.username, 'password': password, 'token': self.... | <|body_start_0|>
self.TIDAL_CLIENT_VERSION = '1.9.1'
self.TIDAL_API_BASE = 'https://api.tidalhifi.com/v1/'
self.username = username
self.token = token
self.unique_id = str(uuid.uuid4()).replace('-', '')[16:]
self.auth(password)
password = None
<|end_body_0|>
<|bo... | Tidal session object which can be used to communicate with Tidal servers | TidalSession | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TidalSession:
"""Tidal session object which can be used to communicate with Tidal servers"""
def __init__(self, username, password, token='4zx46pyr9o8qZNRw'):
"""Initiate a new session"""
<|body_0|>
def auth(self, password):
"""Attempts to authorize and create a ... | stack_v2_sparse_classes_10k_train_004859 | 8,327 | permissive | [
{
"docstring": "Initiate a new session",
"name": "__init__",
"signature": "def __init__(self, username, password, token='4zx46pyr9o8qZNRw')"
},
{
"docstring": "Attempts to authorize and create a new valid session",
"name": "auth",
"signature": "def auth(self, password)"
},
{
"doc... | 4 | stack_v2_sparse_classes_30k_train_001700 | Implement the Python class `TidalSession` described below.
Class description:
Tidal session object which can be used to communicate with Tidal servers
Method signatures and docstrings:
- def __init__(self, username, password, token='4zx46pyr9o8qZNRw'): Initiate a new session
- def auth(self, password): Attempts to au... | Implement the Python class `TidalSession` described below.
Class description:
Tidal session object which can be used to communicate with Tidal servers
Method signatures and docstrings:
- def __init__(self, username, password, token='4zx46pyr9o8qZNRw'): Initiate a new session
- def auth(self, password): Attempts to au... | 2a7e339b97f173efa319abc5e4ec8fc9172f1505 | <|skeleton|>
class TidalSession:
"""Tidal session object which can be used to communicate with Tidal servers"""
def __init__(self, username, password, token='4zx46pyr9o8qZNRw'):
"""Initiate a new session"""
<|body_0|>
def auth(self, password):
"""Attempts to authorize and create a ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TidalSession:
"""Tidal session object which can be used to communicate with Tidal servers"""
def __init__(self, username, password, token='4zx46pyr9o8qZNRw'):
"""Initiate a new session"""
self.TIDAL_CLIENT_VERSION = '1.9.1'
self.TIDAL_API_BASE = 'https://api.tidalhifi.com/v1/'
... | the_stack_v2_python_sparse | bin/redsea/tidal_api.py | SultanSGillani/dotfiles | train | 7 |
797fb86cf9178532e27180ac3077fb00ec8b66ae | [
"self.root = root\nself.stack = []\nself.first = False",
"if self.root is None:\n return False\nif self.first is False:\n return True\nnode = self.stack[-1]\nif node.right is not None:\n return True\nelse:\n i = len(self.stack) - 1\n while i > 0:\n if self.stack[i - 1].left == self.stack[i]:... | <|body_start_0|>
self.root = root
self.stack = []
self.first = False
<|end_body_0|>
<|body_start_1|>
if self.root is None:
return False
if self.first is False:
return True
node = self.stack[-1]
if node.right is not None:
return... | BSTIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
<|body_0|>
def hasNext(self):
""":rtype: bool"""
<|body_1|>
def next(self):
""":rtype: int"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
self.root = root
... | stack_v2_sparse_classes_10k_train_004860 | 1,929 | no_license | [
{
"docstring": ":type root: TreeNode",
"name": "__init__",
"signature": "def __init__(self, root)"
},
{
"docstring": ":rtype: bool",
"name": "hasNext",
"signature": "def hasNext(self)"
},
{
"docstring": ":rtype: int",
"name": "next",
"signature": "def next(self)"
}
] | 3 | stack_v2_sparse_classes_30k_train_006074 | Implement the Python class `BSTIterator` described below.
Class description:
Implement the BSTIterator class.
Method signatures and docstrings:
- def __init__(self, root): :type root: TreeNode
- def hasNext(self): :rtype: bool
- def next(self): :rtype: int | Implement the Python class `BSTIterator` described below.
Class description:
Implement the BSTIterator class.
Method signatures and docstrings:
- def __init__(self, root): :type root: TreeNode
- def hasNext(self): :rtype: bool
- def next(self): :rtype: int
<|skeleton|>
class BSTIterator:
def __init__(self, root... | 8075fbb40987d5e6af8d30941a19fa48a3320f56 | <|skeleton|>
class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
<|body_0|>
def hasNext(self):
""":rtype: bool"""
<|body_1|>
def next(self):
""":rtype: int"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BSTIterator:
def __init__(self, root):
""":type root: TreeNode"""
self.root = root
self.stack = []
self.first = False
def hasNext(self):
""":rtype: bool"""
if self.root is None:
return False
if self.first is False:
return Tru... | the_stack_v2_python_sparse | p173/Solution.py | carwestsam/leetCode | train | 4 | |
7e3d1048b73e234020ae2b957f547c95734188d7 | [
"self.dimension = dimension\nself.coneSize = maxConeSize\nself.nvertices = numVertices\nself.ncells = numCells\nself.cellType = None\nself.initialize()\nreturn",
"from Mesh import cellTypes\ntry:\n if self.coneSize > 0:\n self.cellType = cellTypes[self.dimension, self.coneSize]\nexcept:\n raise Value... | <|body_start_0|>
self.dimension = dimension
self.coneSize = maxConeSize
self.nvertices = numVertices
self.ncells = numCells
self.cellType = None
self.initialize()
return
<|end_body_0|>
<|body_start_1|>
from Mesh import cellTypes
try:
i... | Fault object for holding mesh memory and performance information. | Fault | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Fault:
"""Fault object for holding mesh memory and performance information."""
def __init__(self, dimension=0, maxConeSize=0, numVertices=0, numCells=0):
"""Constructor."""
<|body_0|>
def initialize(self):
"""Initialize application."""
<|body_1|>
def... | stack_v2_sparse_classes_10k_train_004861 | 1,894 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, dimension=0, maxConeSize=0, numVertices=0, numCells=0)"
},
{
"docstring": "Initialize application.",
"name": "initialize",
"signature": "def initialize(self)"
},
{
"docstring": "Tabulate memory us... | 3 | stack_v2_sparse_classes_30k_train_006962 | Implement the Python class `Fault` described below.
Class description:
Fault object for holding mesh memory and performance information.
Method signatures and docstrings:
- def __init__(self, dimension=0, maxConeSize=0, numVertices=0, numCells=0): Constructor.
- def initialize(self): Initialize application.
- def tab... | Implement the Python class `Fault` described below.
Class description:
Fault object for holding mesh memory and performance information.
Method signatures and docstrings:
- def __init__(self, dimension=0, maxConeSize=0, numVertices=0, numCells=0): Constructor.
- def initialize(self): Initialize application.
- def tab... | 8d0170324d3fcdc5e6c4281759c680faa5dd8d38 | <|skeleton|>
class Fault:
"""Fault object for holding mesh memory and performance information."""
def __init__(self, dimension=0, maxConeSize=0, numVertices=0, numCells=0):
"""Constructor."""
<|body_0|>
def initialize(self):
"""Initialize application."""
<|body_1|>
def... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Fault:
"""Fault object for holding mesh memory and performance information."""
def __init__(self, dimension=0, maxConeSize=0, numVertices=0, numCells=0):
"""Constructor."""
self.dimension = dimension
self.coneSize = maxConeSize
self.nvertices = numVertices
self.nce... | the_stack_v2_python_sparse | pylith/perf/Fault.py | rwalkerlewis/pylith | train | 0 |
12d669248364c84b34be73e12e34a5be160a9069 | [
"if isinstance(num, str):\n _n = int(num)\nelse:\n _n = num\nif _n < 0 or _n >= MAX_VALUE_LIMIT:\n raise ValueError('Out of range')\nnum_str = str(num)\ncapital_str = ''.join([LOWER_DIGITS[int(i)] for i in num_str])\ns_units = LOWER_UNITS[len(LOWER_UNITS) - len(num_str):]\no = ''.join((f'{u}{d}' for u, d i... | <|body_start_0|>
if isinstance(num, str):
_n = int(num)
else:
_n = num
if _n < 0 or _n >= MAX_VALUE_LIMIT:
raise ValueError('Out of range')
num_str = str(num)
capital_str = ''.join([LOWER_DIGITS[int(i)] for i in num_str])
s_units = LOWE... | ChineseNumbers | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChineseNumbers:
def measure_number(num: Union[int, str], upper: bool=False) -> str:
"""将数字转化为计量大/小写的中文数字，数字0的中文形式为“零”。 >>> ChineseNumbers.measure_number(11) '十一' >>> ChineseNumbers.measure_number(204, True) '贰佰零肆'"""
<|body_0|>
def order_number(num: Union[int, str], upper: b... | stack_v2_sparse_classes_10k_train_004862 | 4,068 | permissive | [
{
"docstring": "将数字转化为计量大/小写的中文数字，数字0的中文形式为“零”。 >>> ChineseNumbers.measure_number(11) '十一' >>> ChineseNumbers.measure_number(204, True) '贰佰零肆'",
"name": "measure_number",
"signature": "def measure_number(num: Union[int, str], upper: bool=False) -> str"
},
{
"docstring": "将数字转化为编号大/小写的中文数字，数字0的中文... | 3 | stack_v2_sparse_classes_30k_train_007174 | Implement the Python class `ChineseNumbers` described below.
Class description:
Implement the ChineseNumbers class.
Method signatures and docstrings:
- def measure_number(num: Union[int, str], upper: bool=False) -> str: 将数字转化为计量大/小写的中文数字，数字0的中文形式为“零”。 >>> ChineseNumbers.measure_number(11) '十一' >>> ChineseNumbers.meas... | Implement the Python class `ChineseNumbers` described below.
Class description:
Implement the ChineseNumbers class.
Method signatures and docstrings:
- def measure_number(num: Union[int, str], upper: bool=False) -> str: 将数字转化为计量大/小写的中文数字，数字0的中文形式为“零”。 >>> ChineseNumbers.measure_number(11) '十一' >>> ChineseNumbers.meas... | 06407958a6ba3115d783ed6457c2e7355a3f237c | <|skeleton|>
class ChineseNumbers:
def measure_number(num: Union[int, str], upper: bool=False) -> str:
"""将数字转化为计量大/小写的中文数字，数字0的中文形式为“零”。 >>> ChineseNumbers.measure_number(11) '十一' >>> ChineseNumbers.measure_number(204, True) '贰佰零肆'"""
<|body_0|>
def order_number(num: Union[int, str], upper: b... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ChineseNumbers:
def measure_number(num: Union[int, str], upper: bool=False) -> str:
"""将数字转化为计量大/小写的中文数字，数字0的中文形式为“零”。 >>> ChineseNumbers.measure_number(11) '十一' >>> ChineseNumbers.measure_number(204, True) '贰佰零肆'"""
if isinstance(num, str):
_n = int(num)
else:
... | the_stack_v2_python_sparse | borax/numbers.py | kinegratii/borax | train | 67 | |
708ceff036b5b0424def759456b1f5d48f687c24 | [
"if not nums:\n return None\ncurrent_sum = 0\nmax_sum = nums[0]\nelement_list = []\nfor num in nums:\n element_list.append(num)\n current_sum += num\n if current_sum >= max_sum:\n max_list = copy.copy(element_list)\n max_sum = current_sum\n if current_sum < 0:\n element_list = []... | <|body_start_0|>
if not nums:
return None
current_sum = 0
max_sum = nums[0]
element_list = []
for num in nums:
element_list.append(num)
current_sum += num
if current_sum >= max_sum:
max_list = copy.copy(element_list)... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxSubArray2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not nums:
return None
... | stack_v2_sparse_classes_10k_train_004863 | 1,087 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxSubArray1",
"signature": "def maxSubArray1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxSubArray2",
"signature": "def maxSubArray2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002004 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray1(self, nums): :type nums: List[int] :rtype: int
- def maxSubArray2(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray1(self, nums): :type nums: List[int] :rtype: int
- def maxSubArray2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxSubArr... | 8fb6c1d947046dabd58ff8482b2c0b41f39aa988 | <|skeleton|>
class Solution:
def maxSubArray1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxSubArray2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maxSubArray1(self, nums):
""":type nums: List[int] :rtype: int"""
if not nums:
return None
current_sum = 0
max_sum = nums[0]
element_list = []
for num in nums:
element_list.append(num)
current_sum += num
... | the_stack_v2_python_sparse | Python/LeetCode/53.py | czx94/Algorithms-Collection | train | 2 | |
ae85aaa67aac6a3b37f741463d2c69857f90aba7 | [
"if root is None:\n return True\nreturn self.isValidBSTMinMax(root)[0]",
"if root.left and root.right:\n left, left_min, left_max = self.isValidBSTMinMax(root.left)\n right, right_min, right_max = self.isValidBSTMinMax(root.right)\n return (left and right and (left_max < root.val) and (root.val < righ... | <|body_start_0|>
if root is None:
return True
return self.isValidBSTMinMax(root)[0]
<|end_body_0|>
<|body_start_1|>
if root.left and root.right:
left, left_min, left_max = self.isValidBSTMinMax(root.left)
right, right_min, right_max = self.isValidBSTMinMax(ro... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isValidBSTMinMax(self, root):
"""Returns if the tree rooted at `root` is a valid BST, and the min and max value of the tree -- min value always <= max value"""
<|body... | stack_v2_sparse_classes_10k_train_004864 | 4,457 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isValidBST",
"signature": "def isValidBST(self, root)"
},
{
"docstring": "Returns if the tree rooted at `root` is a valid BST, and the min and max value of the tree -- min value always <= max value",
"name": "isValidBSTMinMax",
... | 2 | stack_v2_sparse_classes_30k_train_005290 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST(self, root): :type root: TreeNode :rtype: bool
- def isValidBSTMinMax(self, root): Returns if the tree rooted at `root` is a valid BST, and the min and max value o... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST(self, root): :type root: TreeNode :rtype: bool
- def isValidBSTMinMax(self, root): Returns if the tree rooted at `root` is a valid BST, and the min and max value o... | 69a960dd8f39e9c8435a3678852071e1085fcb72 | <|skeleton|>
class Solution:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isValidBSTMinMax(self, root):
"""Returns if the tree rooted at `root` is a valid BST, and the min and max value of the tree -- min value always <= max value"""
<|body... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isValidBST(self, root):
""":type root: TreeNode :rtype: bool"""
if root is None:
return True
return self.isValidBSTMinMax(root)[0]
def isValidBSTMinMax(self, root):
"""Returns if the tree rooted at `root` is a valid BST, and the min and max value ... | the_stack_v2_python_sparse | python/tree/lc98.py | chao-ji/LeetCode | train | 1 | |
9fe18658a43d2b99dd84819b1e9aa2b603f41a22 | [
"super(CollaQMultiHeadAttention, self).__init__()\nself.act = nn.ReLU()\nself.n_head = n_head\nself.d_k = d_k\nself.d_v = d_v\nself.w_qs = nn.Linear(d_model_q, n_head * d_k)\nself.w_ks = nn.Linear(d_model_v, n_head * d_k)\nself.w_vs = nn.Linear(d_model_v, n_head * d_v)\nself.fc1 = fc_block(n_head * d_v, n_head * d_... | <|body_start_0|>
super(CollaQMultiHeadAttention, self).__init__()
self.act = nn.ReLU()
self.n_head = n_head
self.d_k = d_k
self.d_v = d_v
self.w_qs = nn.Linear(d_model_q, n_head * d_k)
self.w_ks = nn.Linear(d_model_v, n_head * d_k)
self.w_vs = nn.Linear(d_... | Overview: The head of collaq attention module. Interface: __init__, forward | CollaQMultiHeadAttention | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CollaQMultiHeadAttention:
"""Overview: The head of collaq attention module. Interface: __init__, forward"""
def __init__(self, n_head: int, d_model_q: int, d_model_v: int, d_k: int, d_v: int, d_out: int, dropout: float=0.0):
"""Overview: initialize the head of collaq attention module... | stack_v2_sparse_classes_10k_train_004865 | 27,383 | permissive | [
{
"docstring": "Overview: initialize the head of collaq attention module Arguments: - n_head (:obj:`int`): the num of head - d_model_q (:obj:`int`): the size of input q - d_model_v (:obj:`int`): the size of input v - d_k (:obj:`int`): the size of k, used by Scaled Dot Product Attention - d_v (:obj:`int`): the s... | 2 | stack_v2_sparse_classes_30k_train_000650 | Implement the Python class `CollaQMultiHeadAttention` described below.
Class description:
Overview: The head of collaq attention module. Interface: __init__, forward
Method signatures and docstrings:
- def __init__(self, n_head: int, d_model_q: int, d_model_v: int, d_k: int, d_v: int, d_out: int, dropout: float=0.0):... | Implement the Python class `CollaQMultiHeadAttention` described below.
Class description:
Overview: The head of collaq attention module. Interface: __init__, forward
Method signatures and docstrings:
- def __init__(self, n_head: int, d_model_q: int, d_model_v: int, d_k: int, d_v: int, d_out: int, dropout: float=0.0):... | eb483fa6e46602d58c8e7d2ca1e566adca28e703 | <|skeleton|>
class CollaQMultiHeadAttention:
"""Overview: The head of collaq attention module. Interface: __init__, forward"""
def __init__(self, n_head: int, d_model_q: int, d_model_v: int, d_k: int, d_v: int, d_out: int, dropout: float=0.0):
"""Overview: initialize the head of collaq attention module... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CollaQMultiHeadAttention:
"""Overview: The head of collaq attention module. Interface: __init__, forward"""
def __init__(self, n_head: int, d_model_q: int, d_model_v: int, d_k: int, d_v: int, d_out: int, dropout: float=0.0):
"""Overview: initialize the head of collaq attention module Arguments: -... | the_stack_v2_python_sparse | ding/model/template/qmix.py | shengxuesun/DI-engine | train | 1 |
c79058555e910b20922540dccdf961c0f2b8bae1 | [
"sc.logger.info('小影圈发现页面初始状态检查开始')\nfun_name = 'test_planet_page'\nsc.logger.info('点击小影圈主按钮')\np_btn = 'com.quvideo.xiaoying:id/img_find'\nWebDriverWait(sc.driver, 10, 1).until(lambda el: el.find_element_by_id(p_btn)).click()\ntime.sleep(1)\nsc.logger.info('开始查找小影圈发现tab')\nel_tab_list = sc.driver.find_elements_by_i... | <|body_start_0|>
sc.logger.info('小影圈发现页面初始状态检查开始')
fun_name = 'test_planet_page'
sc.logger.info('点击小影圈主按钮')
p_btn = 'com.quvideo.xiaoying:id/img_find'
WebDriverWait(sc.driver, 10, 1).until(lambda el: el.find_element_by_id(p_btn)).click()
time.sleep(1)
sc.logger.in... | 小影圈发现页UI的测试类，分步截图. | TestPlanetExploreUI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPlanetExploreUI:
"""小影圈发现页UI的测试类，分步截图."""
def test_planet_page(self):
"""小影圈发现页面初始状态测试."""
<|body_0|>
def test_refresh(self):
"""测试下拉刷新."""
<|body_1|>
def test_swipe_vertical(self):
"""测试上下方向的滑动."""
<|body_2|>
def test_origin... | stack_v2_sparse_classes_10k_train_004866 | 3,648 | no_license | [
{
"docstring": "小影圈发现页面初始状态测试.",
"name": "test_planet_page",
"signature": "def test_planet_page(self)"
},
{
"docstring": "测试下拉刷新.",
"name": "test_refresh",
"signature": "def test_refresh(self)"
},
{
"docstring": "测试上下方向的滑动.",
"name": "test_swipe_vertical",
"signature": "d... | 4 | stack_v2_sparse_classes_30k_train_007124 | Implement the Python class `TestPlanetExploreUI` described below.
Class description:
小影圈发现页UI的测试类，分步截图.
Method signatures and docstrings:
- def test_planet_page(self): 小影圈发现页面初始状态测试.
- def test_refresh(self): 测试下拉刷新.
- def test_swipe_vertical(self): 测试上下方向的滑动.
- def test_origin_home(self): 发现页tab的功能. | Implement the Python class `TestPlanetExploreUI` described below.
Class description:
小影圈发现页UI的测试类，分步截图.
Method signatures and docstrings:
- def test_planet_page(self): 小影圈发现页面初始状态测试.
- def test_refresh(self): 测试下拉刷新.
- def test_swipe_vertical(self): 测试上下方向的滑动.
- def test_origin_home(self): 发现页tab的功能.
<|skeleton|>
cl... | 0003b68fc8e26a96ee1661c1eb1f26f96810e909 | <|skeleton|>
class TestPlanetExploreUI:
"""小影圈发现页UI的测试类，分步截图."""
def test_planet_page(self):
"""小影圈发现页面初始状态测试."""
<|body_0|>
def test_refresh(self):
"""测试下拉刷新."""
<|body_1|>
def test_swipe_vertical(self):
"""测试上下方向的滑动."""
<|body_2|>
def test_origin... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestPlanetExploreUI:
"""小影圈发现页UI的测试类，分步截图."""
def test_planet_page(self):
"""小影圈发现页面初始状态测试."""
sc.logger.info('小影圈发现页面初始状态检查开始')
fun_name = 'test_planet_page'
sc.logger.info('点击小影圈主按钮')
p_btn = 'com.quvideo.xiaoying:id/img_find'
WebDriverWait(sc.driver, 10,... | the_stack_v2_python_sparse | Android/VivaVideo/test_planet/test_explore.py | Lemonzhulixin/UItest | train | 5 |
c0ddf5ca0ef1bc8e4b2a8c34e87b8fa2fba8a98b | [
"self.certificate = certificate\nself.exchange = exchange\nself.filer_id = filer_id\nself.password = password\nself.server_ip = server_ip\nself.username = username\nself.virtual_host = virtual_host",
"if dictionary is None:\n return None\ncertificate = dictionary.get('certificate')\nexchange = dictionary.get('... | <|body_start_0|>
self.certificate = certificate
self.exchange = exchange
self.filer_id = filer_id
self.password = password
self.server_ip = server_ip
self.username = username
self.virtual_host = virtual_host
<|end_body_0|>
<|body_start_1|>
if dictionary i... | Implementation of the 'AMQPTargetConfig' model. TODO: type description here. Attributes: certificate (string): Specifies the certificate. exchange (string): Specifies the exchange. filer_id (long|int): Specifies the filer id. password (string): Specifies the password. server_ip (string): Specifies the server ip. userna... | AMQPTargetConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AMQPTargetConfig:
"""Implementation of the 'AMQPTargetConfig' model. TODO: type description here. Attributes: certificate (string): Specifies the certificate. exchange (string): Specifies the exchange. filer_id (long|int): Specifies the filer id. password (string): Specifies the password. server_... | stack_v2_sparse_classes_10k_train_004867 | 2,660 | permissive | [
{
"docstring": "Constructor for the AMQPTargetConfig class",
"name": "__init__",
"signature": "def __init__(self, certificate=None, exchange=None, filer_id=None, password=None, server_ip=None, username=None, virtual_host=None)"
},
{
"docstring": "Creates an instance of this model from a dictiona... | 2 | stack_v2_sparse_classes_30k_train_003359 | Implement the Python class `AMQPTargetConfig` described below.
Class description:
Implementation of the 'AMQPTargetConfig' model. TODO: type description here. Attributes: certificate (string): Specifies the certificate. exchange (string): Specifies the exchange. filer_id (long|int): Specifies the filer id. password (s... | Implement the Python class `AMQPTargetConfig` described below.
Class description:
Implementation of the 'AMQPTargetConfig' model. TODO: type description here. Attributes: certificate (string): Specifies the certificate. exchange (string): Specifies the exchange. filer_id (long|int): Specifies the filer id. password (s... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class AMQPTargetConfig:
"""Implementation of the 'AMQPTargetConfig' model. TODO: type description here. Attributes: certificate (string): Specifies the certificate. exchange (string): Specifies the exchange. filer_id (long|int): Specifies the filer id. password (string): Specifies the password. server_... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AMQPTargetConfig:
"""Implementation of the 'AMQPTargetConfig' model. TODO: type description here. Attributes: certificate (string): Specifies the certificate. exchange (string): Specifies the exchange. filer_id (long|int): Specifies the filer id. password (string): Specifies the password. server_ip (string): ... | the_stack_v2_python_sparse | cohesity_management_sdk/models/amqp_target_config.py | cohesity/management-sdk-python | train | 24 |
9bae58aa8fd472afea8bd1af5ba5b89fa2afbdd9 | [
"centre = nm.array(centre, dtype=nm.float64)\nnormal = nm.array(normal, dtype=nm.float64)\nnormal /= nla.norm(normal)\nname = 'circle [%s, %s, %s]' % (centre, normal, radius)\nProbe.__init__(self, name=name, share_geometry=share_geometry, centre=centre, normal=normal, radius=radius, n_point=n_point)",
"out = Prob... | <|body_start_0|>
centre = nm.array(centre, dtype=nm.float64)
normal = nm.array(normal, dtype=nm.float64)
normal /= nla.norm(normal)
name = 'circle [%s, %s, %s]' % (centre, normal, radius)
Probe.__init__(self, name=name, share_geometry=share_geometry, centre=centre, normal=normal,... | Probe variables along a circle. If n_point is positive, that number of evenly spaced points is used. If n_point is None or non-positive, an adaptive refinement based on element diameters is used and the number of points and their spacing are determined automatically. If it is negative, -n_point is used as an initial gu... | CircleProbe | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CircleProbe:
"""Probe variables along a circle. If n_point is positive, that number of evenly spaced points is used. If n_point is None or non-positive, an adaptive refinement based on element diameters is used and the number of points and their spacing are determined automatically. If it is nega... | stack_v2_sparse_classes_10k_train_004868 | 21,182 | permissive | [
{
"docstring": "Parameters ---------- centre : array_like The coordinates of the circle centre. normal : array_like The normal vector perpendicular to the circle plane. radius : float The radius of the circle.",
"name": "__init__",
"signature": "def __init__(self, centre, normal, radius, n_point, share_... | 3 | stack_v2_sparse_classes_30k_train_003717 | Implement the Python class `CircleProbe` described below.
Class description:
Probe variables along a circle. If n_point is positive, that number of evenly spaced points is used. If n_point is None or non-positive, an adaptive refinement based on element diameters is used and the number of points and their spacing are ... | Implement the Python class `CircleProbe` described below.
Class description:
Probe variables along a circle. If n_point is positive, that number of evenly spaced points is used. If n_point is None or non-positive, an adaptive refinement based on element diameters is used and the number of points and their spacing are ... | 0c2d1690e764b601b2687be1e4261b82207ca366 | <|skeleton|>
class CircleProbe:
"""Probe variables along a circle. If n_point is positive, that number of evenly spaced points is used. If n_point is None or non-positive, an adaptive refinement based on element diameters is used and the number of points and their spacing are determined automatically. If it is nega... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CircleProbe:
"""Probe variables along a circle. If n_point is positive, that number of evenly spaced points is used. If n_point is None or non-positive, an adaptive refinement based on element diameters is used and the number of points and their spacing are determined automatically. If it is negative, -n_poin... | the_stack_v2_python_sparse | sfepy/discrete/probes.py | sfepy/sfepy | train | 651 |
501c3f7e1fa1aa0f2fc339dff951168b06f44ace | [
"super(AttentionWeights, self).__init__()\nself.w_enc = nn.Linear(size_enc_hidden, size_att_hidden, bias=False)\nself.w_query = nn.Linear(size_dec_hidden, size_att_hidden, bias=False)\nself.w_out = nn.Linear(size_att_hidden, 1, bias=False)",
"query_part = self.w_query(query)\nenc_part = self.w_enc(encoder_sequenc... | <|body_start_0|>
super(AttentionWeights, self).__init__()
self.w_enc = nn.Linear(size_enc_hidden, size_att_hidden, bias=False)
self.w_query = nn.Linear(size_dec_hidden, size_att_hidden, bias=False)
self.w_out = nn.Linear(size_att_hidden, 1, bias=False)
<|end_body_0|>
<|body_start_1|>
... | AttentionWeights | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttentionWeights:
def __init__(self, size_enc_hidden, size_dec_hidden, size_att_hidden):
"""Create attention weights layer. It's responsibility is to convert encoder sequence into vector of attention weights :param size_enc_hidden: size of hidden encoder state :param size_dec_hidden: siz... | stack_v2_sparse_classes_10k_train_004869 | 6,283 | no_license | [
{
"docstring": "Create attention weights layer. It's responsibility is to convert encoder sequence into vector of attention weights :param size_enc_hidden: size of hidden encoder state :param size_dec_hidden: size of hidden decoder state (aka query) :param size_att_hidden: size of attention hidden state (middle... | 2 | stack_v2_sparse_classes_30k_val_000339 | Implement the Python class `AttentionWeights` described below.
Class description:
Implement the AttentionWeights class.
Method signatures and docstrings:
- def __init__(self, size_enc_hidden, size_dec_hidden, size_att_hidden): Create attention weights layer. It's responsibility is to convert encoder sequence into vec... | Implement the Python class `AttentionWeights` described below.
Class description:
Implement the AttentionWeights class.
Method signatures and docstrings:
- def __init__(self, size_enc_hidden, size_dec_hidden, size_att_hidden): Create attention weights layer. It's responsibility is to convert encoder sequence into vec... | cded13e89559ad0e0b41ad8aad150469ac962dee | <|skeleton|>
class AttentionWeights:
def __init__(self, size_enc_hidden, size_dec_hidden, size_att_hidden):
"""Create attention weights layer. It's responsibility is to convert encoder sequence into vector of attention weights :param size_enc_hidden: size of hidden encoder state :param size_dec_hidden: siz... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AttentionWeights:
def __init__(self, size_enc_hidden, size_dec_hidden, size_att_hidden):
"""Create attention weights layer. It's responsibility is to convert encoder sequence into vector of attention weights :param size_enc_hidden: size of hidden encoder state :param size_dec_hidden: size of hidden de... | the_stack_v2_python_sparse | deep_bayes/sem_attention/task1_sorting.py | Shmuma/pytorch_tests | train | 0 | |
5b6a515377fa2237a04e1f8feb6e7769dcab8f3f | [
"data = req.data.keys()[0]\ndata = simplejson.loads(data)\ntitle = data.get('title')\ncategory = data.get('category')\nitems = data.get('items')\nis_active = data.get('is_active')\nactive_time = data.get('active_time')\nposter = GoodShelf()\nif title:\n poster.title = title\nif category:\n poster.category = c... | <|body_start_0|>
data = req.data.keys()[0]
data = simplejson.loads(data)
title = data.get('title')
category = data.get('category')
items = data.get('items')
is_active = data.get('is_active')
active_time = data.get('active_time')
poster = GoodShelf()
... | PosterViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PosterViewSet:
def create(self, req, *args, **kwargs):
"""POST /rest/v2/poster"""
<|body_0|>
def update(self, req, *args, **kwargs):
"""PUT /rest/v2/poster/<id>"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
data = req.data.keys()[0]
data =... | stack_v2_sparse_classes_10k_train_004870 | 2,665 | no_license | [
{
"docstring": "POST /rest/v2/poster",
"name": "create",
"signature": "def create(self, req, *args, **kwargs)"
},
{
"docstring": "PUT /rest/v2/poster/<id>",
"name": "update",
"signature": "def update(self, req, *args, **kwargs)"
}
] | 2 | null | Implement the Python class `PosterViewSet` described below.
Class description:
Implement the PosterViewSet class.
Method signatures and docstrings:
- def create(self, req, *args, **kwargs): POST /rest/v2/poster
- def update(self, req, *args, **kwargs): PUT /rest/v2/poster/<id> | Implement the Python class `PosterViewSet` described below.
Class description:
Implement the PosterViewSet class.
Method signatures and docstrings:
- def create(self, req, *args, **kwargs): POST /rest/v2/poster
- def update(self, req, *args, **kwargs): PUT /rest/v2/poster/<id>
<|skeleton|>
class PosterViewSet:
... | be58dc8f1f0630d3a04e551911f66d9091bedc45 | <|skeleton|>
class PosterViewSet:
def create(self, req, *args, **kwargs):
"""POST /rest/v2/poster"""
<|body_0|>
def update(self, req, *args, **kwargs):
"""PUT /rest/v2/poster/<id>"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PosterViewSet:
def create(self, req, *args, **kwargs):
"""POST /rest/v2/poster"""
data = req.data.keys()[0]
data = simplejson.loads(data)
title = data.get('title')
category = data.get('category')
items = data.get('items')
is_active = data.get('is_active'... | the_stack_v2_python_sparse | flashsale/restpro/v2/views/poster.py | nidepuzi/ndpuzsys | train | 1 | |
a04602d4b49965827af4506445df421977399b1c | [
"self.name = name\nself.dictionary = Dictionary()\nself.emotion = Emotion(self.dictionary)\nself.res_random = RandomResponder('Random', self.dictionary)\nself.res_what = RepeatResponder('Repeat', self.dictionary)\nself.res_pattern = PatternResponder('Pattern', self.dictionary)",
"self.emotion.update(input)\nx = r... | <|body_start_0|>
self.name = name
self.dictionary = Dictionary()
self.emotion = Emotion(self.dictionary)
self.res_random = RandomResponder('Random', self.dictionary)
self.res_what = RepeatResponder('Repeat', self.dictionary)
self.res_pattern = PatternResponder('Pattern', ... | ピティナの本体クラス | Ptna | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ptna:
"""ピティナの本体クラス"""
def __init__(self, name):
"""Ptnaオブジェクトの名前をnameに格納 応答オブジェクトをランダムに生成してresponderに格納 @param name Ptnaオブジェクトの名前"""
<|body_0|>
def dialogue(self, input):
"""応答オブジェクトのresponse()を呼び出して 応答文字列を取得する @param input ユーザーによって入力された文字列 戻り値 応答文字列"""
... | stack_v2_sparse_classes_10k_train_004871 | 3,517 | no_license | [
{
"docstring": "Ptnaオブジェクトの名前をnameに格納 応答オブジェクトをランダムに生成してresponderに格納 @param name Ptnaオブジェクトの名前",
"name": "__init__",
"signature": "def __init__(self, name)"
},
{
"docstring": "応答オブジェクトのresponse()を呼び出して 応答文字列を取得する @param input ユーザーによって入力された文字列 戻り値 応答文字列",
"name": "dialogue",
"signature": ... | 2 | null | Implement the Python class `Ptna` described below.
Class description:
ピティナの本体クラス
Method signatures and docstrings:
- def __init__(self, name): Ptnaオブジェクトの名前をnameに格納 応答オブジェクトをランダムに生成してresponderに格納 @param name Ptnaオブジェクトの名前
- def dialogue(self, input): 応答オブジェクトのresponse()を呼び出して 応答文字列を取得する @param input ユーザーによって入力された文字列 ... | Implement the Python class `Ptna` described below.
Class description:
ピティナの本体クラス
Method signatures and docstrings:
- def __init__(self, name): Ptnaオブジェクトの名前をnameに格納 応答オブジェクトをランダムに生成してresponderに格納 @param name Ptnaオブジェクトの名前
- def dialogue(self, input): 応答オブジェクトのresponse()を呼び出して 応答文字列を取得する @param input ユーザーによって入力された文字列 ... | 26126c02cfa0dc4c0db726f2f2cabb162511a5b5 | <|skeleton|>
class Ptna:
"""ピティナの本体クラス"""
def __init__(self, name):
"""Ptnaオブジェクトの名前をnameに格納 応答オブジェクトをランダムに生成してresponderに格納 @param name Ptnaオブジェクトの名前"""
<|body_0|>
def dialogue(self, input):
"""応答オブジェクトのresponse()を呼び出して 応答文字列を取得する @param input ユーザーによって入力された文字列 戻り値 応答文字列"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Ptna:
"""ピティナの本体クラス"""
def __init__(self, name):
"""Ptnaオブジェクトの名前をnameに格納 応答オブジェクトをランダムに生成してresponderに格納 @param name Ptnaオブジェクトの名前"""
self.name = name
self.dictionary = Dictionary()
self.emotion = Emotion(self.dictionary)
self.res_random = RandomResponder('Random',... | the_stack_v2_python_sparse | normal/PythonAI/chap05/sec04/Ptna5_4_1___7/ptna.py | munezou/PycharmProject | train | 2 |
a161139a64886902e8f007b34a46617d2614aaa5 | [
"self.file_name = file_name\nself.header = None\nself.data = None\nself.model = None\nself._read_file()",
"with open(self.file_name, 'rb') as f:\n new_test = struct.unpack('<l', f.read(8)[4:])[0]\nf.close()\nwith open(self.file_name, 'rb') as f:\n old_test = struct.unpack('<h', f.read(6)[4:])[0]\nf.close()\... | <|body_start_0|>
self.file_name = file_name
self.header = None
self.data = None
self.model = None
self._read_file()
<|end_body_0|>
<|body_start_1|>
with open(self.file_name, 'rb') as f:
new_test = struct.unpack('<l', f.read(8)[4:])[0]
f.close()
... | A class that holds the information from one file output by a D&P Instruments Model 103F MicroFT or Model 202 TurboFT. Attributes: file_name - The data file name. header - A DpHeader instance holding the header information. data - A DpData instance holding the radiometric information. | DpFile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DpFile:
"""A class that holds the information from one file output by a D&P Instruments Model 103F MicroFT or Model 202 TurboFT. Attributes: file_name - The data file name. header - A DpHeader instance holding the header information. data - A DpData instance holding the radiometric information.""... | stack_v2_sparse_classes_10k_train_004872 | 5,404 | no_license | [
{
"docstring": "DpFile instance constructor. Arguments: file_name - The filename for the data file.",
"name": "__init__",
"signature": "def __init__(self, file_name)"
},
{
"docstring": "Read the data file.",
"name": "_read_file",
"signature": "def _read_file(self)"
},
{
"docstrin... | 4 | stack_v2_sparse_classes_30k_train_001948 | Implement the Python class `DpFile` described below.
Class description:
A class that holds the information from one file output by a D&P Instruments Model 103F MicroFT or Model 202 TurboFT. Attributes: file_name - The data file name. header - A DpHeader instance holding the header information. data - A DpData instance... | Implement the Python class `DpFile` described below.
Class description:
A class that holds the information from one file output by a D&P Instruments Model 103F MicroFT or Model 202 TurboFT. Attributes: file_name - The data file name. header - A DpHeader instance holding the header information. data - A DpData instance... | 743167940f700374755ea273b90da66befae1ba4 | <|skeleton|>
class DpFile:
"""A class that holds the information from one file output by a D&P Instruments Model 103F MicroFT or Model 202 TurboFT. Attributes: file_name - The data file name. header - A DpHeader instance holding the header information. data - A DpData instance holding the radiometric information.""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DpFile:
"""A class that holds the information from one file output by a D&P Instruments Model 103F MicroFT or Model 202 TurboFT. Attributes: file_name - The data file name. header - A DpHeader instance holding the header information. data - A DpData instance holding the radiometric information."""
def __... | the_stack_v2_python_sparse | tes/models/dp_models/dp_file.py | max19951001/TES | train | 0 |
c11ddca4ebe75dd6eb6bfc5478f6a4c904ab635c | [
"items = PublicOrganization.objects.all()\nfor item in items.all():\n item.delete()",
"try:\n return PublicOrganization.objects.get(pk=int_or_none(pk))\nexcept PublicOrganization.DoesNotExist:\n return None"
] | <|body_start_0|>
items = PublicOrganization.objects.all()
for item in items.all():
item.delete()
<|end_body_0|>
<|body_start_1|>
try:
return PublicOrganization.objects.get(pk=int_or_none(pk))
except PublicOrganization.DoesNotExist:
return None
<|end_b... | PublicOrganizationManager | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PublicOrganizationManager:
def delete_all(self):
"""Helper function which will delete all the HouseSections in DB."""
<|body_0|>
def get_by_pk_or_none(self, pk):
"""Helper function which gets the HouseSection object by PK parameter or returns None result."""
... | stack_v2_sparse_classes_10k_train_004873 | 13,440 | permissive | [
{
"docstring": "Helper function which will delete all the HouseSections in DB.",
"name": "delete_all",
"signature": "def delete_all(self)"
},
{
"docstring": "Helper function which gets the HouseSection object by PK parameter or returns None result.",
"name": "get_by_pk_or_none",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_004042 | Implement the Python class `PublicOrganizationManager` described below.
Class description:
Implement the PublicOrganizationManager class.
Method signatures and docstrings:
- def delete_all(self): Helper function which will delete all the HouseSections in DB.
- def get_by_pk_or_none(self, pk): Helper function which ge... | Implement the Python class `PublicOrganizationManager` described below.
Class description:
Implement the PublicOrganizationManager class.
Method signatures and docstrings:
- def delete_all(self): Helper function which will delete all the HouseSections in DB.
- def get_by_pk_or_none(self, pk): Helper function which ge... | 053973b5ff0b997c52bfaca8daf8e07db64a877c | <|skeleton|>
class PublicOrganizationManager:
def delete_all(self):
"""Helper function which will delete all the HouseSections in DB."""
<|body_0|>
def get_by_pk_or_none(self, pk):
"""Helper function which gets the HouseSection object by PK parameter or returns None result."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PublicOrganizationManager:
def delete_all(self):
"""Helper function which will delete all the HouseSections in DB."""
items = PublicOrganization.objects.all()
for item in items.all():
item.delete()
def get_by_pk_or_none(self, pk):
"""Helper function which gets ... | the_stack_v2_python_sparse | foundation_public/models/organization.py | smegurus/smegurus-django | train | 1 | |
9ed8a01781911ca05be84579409c459c3bf93e1e | [
"super(Monitor, self).__init__()\nDEVICE_ID_LIST = GPUtil.getAvailable(order='memory', limit=1)\nif len(DEVICE_ID_LIST) < 1 or gpu_id is None:\n self.hasgpu = False\nelse:\n self.hasgpu = True\nself.gpu_id = gpu_id\nself.start_time = time.time()\nself.verbose = verbose\nself.stopped = False\nself.delay = dela... | <|body_start_0|>
super(Monitor, self).__init__()
DEVICE_ID_LIST = GPUtil.getAvailable(order='memory', limit=1)
if len(DEVICE_ID_LIST) < 1 or gpu_id is None:
self.hasgpu = False
else:
self.hasgpu = True
self.gpu_id = gpu_id
self.start_time = time.ti... | Monitor Class. | Monitor | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Monitor:
"""Monitor Class."""
def __init__(self, log_dir, delay=1, gpu_id=0, verbose=False):
"""Initialize monitor, log_dir and gpu_id are needed."""
<|body_0|>
def write_cpu_status(self):
"""Write CPU status."""
<|body_1|>
def write_mem_status(self)... | stack_v2_sparse_classes_10k_train_004874 | 6,947 | permissive | [
{
"docstring": "Initialize monitor, log_dir and gpu_id are needed.",
"name": "__init__",
"signature": "def __init__(self, log_dir, delay=1, gpu_id=0, verbose=False)"
},
{
"docstring": "Write CPU status.",
"name": "write_cpu_status",
"signature": "def write_cpu_status(self)"
},
{
... | 6 | stack_v2_sparse_classes_30k_train_000047 | Implement the Python class `Monitor` described below.
Class description:
Monitor Class.
Method signatures and docstrings:
- def __init__(self, log_dir, delay=1, gpu_id=0, verbose=False): Initialize monitor, log_dir and gpu_id are needed.
- def write_cpu_status(self): Write CPU status.
- def write_mem_status(self): Wr... | Implement the Python class `Monitor` described below.
Class description:
Monitor Class.
Method signatures and docstrings:
- def __init__(self, log_dir, delay=1, gpu_id=0, verbose=False): Initialize monitor, log_dir and gpu_id are needed.
- def write_cpu_status(self): Write CPU status.
- def write_mem_status(self): Wr... | 625189d5e1002a3edc27c3e3ce075fddf7ae1c92 | <|skeleton|>
class Monitor:
"""Monitor Class."""
def __init__(self, log_dir, delay=1, gpu_id=0, verbose=False):
"""Initialize monitor, log_dir and gpu_id are needed."""
<|body_0|>
def write_cpu_status(self):
"""Write CPU status."""
<|body_1|>
def write_mem_status(self)... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Monitor:
"""Monitor Class."""
def __init__(self, log_dir, delay=1, gpu_id=0, verbose=False):
"""Initialize monitor, log_dir and gpu_id are needed."""
super(Monitor, self).__init__()
DEVICE_ID_LIST = GPUtil.getAvailable(order='memory', limit=1)
if len(DEVICE_ID_LIST) < 1 or... | the_stack_v2_python_sparse | beta_rec/utils/monitor.py | beta-team/beta-recsys | train | 156 |
b8deee1fb01644fdb36261082ac94d13bd47897c | [
"for ch in letters:\n if ch > target:\n return ch\nreturn letters[0]",
"n = len(letters)\nif n == 0:\n return None\nlow = 0\nhigh = n - 1\nresult = 0\nwhile low <= high:\n mid = low + (high - low) // 2\n if letters[mid] > target:\n result = mid\n high = mid - 1\n else:\n ... | <|body_start_0|>
for ch in letters:
if ch > target:
return ch
return letters[0]
<|end_body_0|>
<|body_start_1|>
n = len(letters)
if n == 0:
return None
low = 0
high = n - 1
result = 0
while low <= high:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def nextGreatestLetter(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_0|>
def nextGreatestLetter2(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_10k_train_004875 | 1,215 | no_license | [
{
"docstring": ":type letters: List[str] :type target: str :rtype: str",
"name": "nextGreatestLetter",
"signature": "def nextGreatestLetter(self, letters, target)"
},
{
"docstring": ":type letters: List[str] :type target: str :rtype: str",
"name": "nextGreatestLetter2",
"signature": "def... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def nextGreatestLetter(self, letters, target): :type letters: List[str] :type target: str :rtype: str
- def nextGreatestLetter2(self, letters, target): :type letters: List[str] :... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def nextGreatestLetter(self, letters, target): :type letters: List[str] :type target: str :rtype: str
- def nextGreatestLetter2(self, letters, target): :type letters: List[str] :... | 813235789ce422a3bab198317aafc46fbc61625e | <|skeleton|>
class Solution:
def nextGreatestLetter(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_0|>
def nextGreatestLetter2(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def nextGreatestLetter(self, letters, target):
""":type letters: List[str] :type target: str :rtype: str"""
for ch in letters:
if ch > target:
return ch
return letters[0]
def nextGreatestLetter2(self, letters, target):
""":type letters... | the_stack_v2_python_sparse | 8. BINARY SEARCH/744_find_smallest_letter_greater_than _target/solution.py | kimmyoo/python_leetcode | train | 1 | |
b8478d11bf8717ef0a79b8a88249fdf45e629821 | [
"self.name = name\nself.description = description\nself.config_scheme = config_scheme\nself.default_config = default_config\nself.default_cron = default_cron\nself.default_activated = default_activated\nself.args = args\nself.kwargs = kwargs",
"from gengine.app.registries import get_task_registry\nget_task_regist... | <|body_start_0|>
self.name = name
self.description = description
self.config_scheme = config_scheme
self.default_config = default_config
self.default_cron = default_cron
self.default_activated = default_activated
self.args = args
self.kwargs = kwargs
<|end... | EngineTask | [
"MIT",
"ZPL-2.1",
"Apache-2.0",
"BSD-3-Clause-Modification",
"LGPL-2.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EngineTask:
def __init__(self, name, description, config_scheme, default_config, default_cron, default_activated, *args, **kwargs):
"""Constructor just here to accept parameters for decorator"""
<|body_0|>
def __call__(self, wrapped):
"""Attach the decorator with Ven... | stack_v2_sparse_classes_10k_train_004876 | 2,888 | permissive | [
{
"docstring": "Constructor just here to accept parameters for decorator",
"name": "__init__",
"signature": "def __init__(self, name, description, config_scheme, default_config, default_cron, default_activated, *args, **kwargs)"
},
{
"docstring": "Attach the decorator with Venusian",
"name":... | 2 | stack_v2_sparse_classes_30k_train_004084 | Implement the Python class `EngineTask` described below.
Class description:
Implement the EngineTask class.
Method signatures and docstrings:
- def __init__(self, name, description, config_scheme, default_config, default_cron, default_activated, *args, **kwargs): Constructor just here to accept parameters for decorat... | Implement the Python class `EngineTask` described below.
Class description:
Implement the EngineTask class.
Method signatures and docstrings:
- def __init__(self, name, description, config_scheme, default_config, default_cron, default_activated, *args, **kwargs): Constructor just here to accept parameters for decorat... | b82a900f2f4a43cea463853e36d6f8237c7f255e | <|skeleton|>
class EngineTask:
def __init__(self, name, description, config_scheme, default_config, default_cron, default_activated, *args, **kwargs):
"""Constructor just here to accept parameters for decorator"""
<|body_0|>
def __call__(self, wrapped):
"""Attach the decorator with Ven... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EngineTask:
def __init__(self, name, description, config_scheme, default_config, default_cron, default_activated, *args, **kwargs):
"""Constructor just here to accept parameters for decorator"""
self.name = name
self.description = description
self.config_scheme = config_scheme
... | the_stack_v2_python_sparse | gengine/app/tasksystem.py | ActiDoo/gamification-engine | train | 413 | |
2953ae5b0bbe5f945e449c9d8a7f13ed0af700b5 | [
"ending = filename.split('.')[-1]\nif ending not in cls.labels:\n ending = cls.associated_types[ending]\ncls.labels[ending].save(filename, data, **kwargs)",
"ending = filename.split('.')[-1]\nif ending not in cls.labels:\n ending = cls.associated_types[ending]\nreturn cls.labels[ending].load(filename, as_ty... | <|body_start_0|>
ending = filename.split('.')[-1]
if ending not in cls.labels:
ending = cls.associated_types[ending]
cls.labels[ending].save(filename, data, **kwargs)
<|end_body_0|>
<|body_start_1|>
ending = filename.split('.')[-1]
if ending not in cls.labels:
... | FileHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileHandler:
def save(cls, filename, data, **kwargs):
"""Parameters: filename (str) data (ndarray, dict) kwargs: Options like header and format for specific child classes."""
<|body_0|>
def load(cls, filename, as_type='dtype'):
"""Parameters: filename (str) as_type (... | stack_v2_sparse_classes_10k_train_004877 | 4,939 | permissive | [
{
"docstring": "Parameters: filename (str) data (ndarray, dict) kwargs: Options like header and format for specific child classes.",
"name": "save",
"signature": "def save(cls, filename, data, **kwargs)"
},
{
"docstring": "Parameters: filename (str) as_type (str): Identifier in which format the ... | 2 | stack_v2_sparse_classes_30k_train_004076 | Implement the Python class `FileHandler` described below.
Class description:
Implement the FileHandler class.
Method signatures and docstrings:
- def save(cls, filename, data, **kwargs): Parameters: filename (str) data (ndarray, dict) kwargs: Options like header and format for specific child classes.
- def load(cls, ... | Implement the Python class `FileHandler` described below.
Class description:
Implement the FileHandler class.
Method signatures and docstrings:
- def save(cls, filename, data, **kwargs): Parameters: filename (str) data (ndarray, dict) kwargs: Options like header and format for specific child classes.
- def load(cls, ... | 29f37740bacc9a77b94daf6fbae769c003ee9349 | <|skeleton|>
class FileHandler:
def save(cls, filename, data, **kwargs):
"""Parameters: filename (str) data (ndarray, dict) kwargs: Options like header and format for specific child classes."""
<|body_0|>
def load(cls, filename, as_type='dtype'):
"""Parameters: filename (str) as_type (... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FileHandler:
def save(cls, filename, data, **kwargs):
"""Parameters: filename (str) data (ndarray, dict) kwargs: Options like header and format for specific child classes."""
ending = filename.split('.')[-1]
if ending not in cls.labels:
ending = cls.associated_types[ending]... | the_stack_v2_python_sparse | profit/util/file_handler.py | redmod-team/profit | train | 19 | |
86bb6d28cb5113a1ce461c504b61d7d931813846 | [
"fx, fy, cx, cy = (params[..., 0], params[..., 1], params[..., 2], params[..., 3])\nu = points.x * fx + cx\nv = points.y * fy + cy\nreturn Vector2.from_coords(u, v)",
"fx, fy, cx, cy = (params[..., 0], params[..., 1], params[..., 2], params[..., 3])\nx = (points.x - cx) / fx\ny = (points.y - cy) / fy\nreturn Vect... | <|body_start_0|>
fx, fy, cx, cy = (params[..., 0], params[..., 1], params[..., 2], params[..., 3])
u = points.x * fx + cx
v = points.y * fy + cy
return Vector2.from_coords(u, v)
<|end_body_0|>
<|body_start_1|>
fx, fy, cx, cy = (params[..., 0], params[..., 1], params[..., 2], par... | AffineTransform | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AffineTransform:
def distort(self, params: Tensor, points: Vector2) -> Vector2:
"""Distort one or more Vector2 points using the affine transform. Args: params: Tensor representing the affine transform parameters. points: Vector2 representing the points to distort. Returns: Vector2 repres... | stack_v2_sparse_classes_10k_train_004878 | 2,163 | permissive | [
{
"docstring": "Distort one or more Vector2 points using the affine transform. Args: params: Tensor representing the affine transform parameters. points: Vector2 representing the points to distort. Returns: Vector2 representing the distorted points. Example: >>> params = Tensor([1., 2., 3., 4.]) >>> points = Ve... | 2 | null | Implement the Python class `AffineTransform` described below.
Class description:
Implement the AffineTransform class.
Method signatures and docstrings:
- def distort(self, params: Tensor, points: Vector2) -> Vector2: Distort one or more Vector2 points using the affine transform. Args: params: Tensor representing the ... | Implement the Python class `AffineTransform` described below.
Class description:
Implement the AffineTransform class.
Method signatures and docstrings:
- def distort(self, params: Tensor, points: Vector2) -> Vector2: Distort one or more Vector2 points using the affine transform. Args: params: Tensor representing the ... | 1e0f8baa7318c05b17ea6dbb48605691bca8972f | <|skeleton|>
class AffineTransform:
def distort(self, params: Tensor, points: Vector2) -> Vector2:
"""Distort one or more Vector2 points using the affine transform. Args: params: Tensor representing the affine transform parameters. points: Vector2 representing the points to distort. Returns: Vector2 repres... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AffineTransform:
def distort(self, params: Tensor, points: Vector2) -> Vector2:
"""Distort one or more Vector2 points using the affine transform. Args: params: Tensor representing the affine transform parameters. points: Vector2 representing the points to distort. Returns: Vector2 representing the dis... | the_stack_v2_python_sparse | kornia/sensors/camera/distortion_model.py | kornia/kornia | train | 7,351 | |
6a0a0783428edc8dca7a1a5f1b7346a6c8d1cfe9 | [
"self.max_proportion = sum(w)\nself.Lists = []\nstart = 0.1\nfor x in w:\n start += x\n self.Lists.append(start)",
"import bisect\nimport random\na = random.randint(1, self.max_proportion)\nb = bisect.bisect(self.Lists, a)\nreturn b"
] | <|body_start_0|>
self.max_proportion = sum(w)
self.Lists = []
start = 0.1
for x in w:
start += x
self.Lists.append(start)
<|end_body_0|>
<|body_start_1|>
import bisect
import random
a = random.randint(1, self.max_proportion)
b = bi... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int] 276 ms"""
<|body_0|>
def pickIndex(self):
""":rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.max_proportion = sum(w)
self.Lists = []
start = 0.1
for x in... | stack_v2_sparse_classes_10k_train_004879 | 1,901 | no_license | [
{
"docstring": ":type w: List[int] 276 ms",
"name": "__init__",
"signature": "def __init__(self, w)"
},
{
"docstring": ":rtype: int",
"name": "pickIndex",
"signature": "def pickIndex(self)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, w): :type w: List[int] 276 ms
- def pickIndex(self): :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, w): :type w: List[int] 276 ms
- def pickIndex(self): :rtype: int
<|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int] 276 ms... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int] 276 ms"""
<|body_0|>
def pickIndex(self):
""":rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def __init__(self, w):
""":type w: List[int] 276 ms"""
self.max_proportion = sum(w)
self.Lists = []
start = 0.1
for x in w:
start += x
self.Lists.append(start)
def pickIndex(self):
""":rtype: int"""
import bisect
... | the_stack_v2_python_sparse | RandomPickWithWeight_MID_880.py | 953250587/leetcode-python | train | 2 | |
0a7e8b5836dd5b0956f3104b80ac4105992964e1 | [
"if 'AVALON_TASK' in session:\n return True\nreturn False",
"with pype.modified_environ(**session):\n print(self.name)\n app = lib.get_application(self.name)\n executable = lib.which(app['executable'])\n arguments = []\n tools_env = acre.get_tools([self.name])\n env = acre.compute(tools_env)\... | <|body_start_0|>
if 'AVALON_TASK' in session:
return True
return False
<|end_body_0|>
<|body_start_1|>
with pype.modified_environ(**session):
print(self.name)
app = lib.get_application(self.name)
executable = lib.which(app['executable'])
... | Aport | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Aport:
def is_compatible(self, session):
"""Return whether the action is compatible with the session"""
<|body_0|>
def process(self, session, **kwargs):
"""Implement the behavior for when the action is triggered Args: session (dict): environment dictionary Returns: P... | stack_v2_sparse_classes_10k_train_004880 | 1,606 | permissive | [
{
"docstring": "Return whether the action is compatible with the session",
"name": "is_compatible",
"signature": "def is_compatible(self, session)"
},
{
"docstring": "Implement the behavior for when the action is triggered Args: session (dict): environment dictionary Returns: Popen instance of n... | 2 | null | Implement the Python class `Aport` described below.
Class description:
Implement the Aport class.
Method signatures and docstrings:
- def is_compatible(self, session): Return whether the action is compatible with the session
- def process(self, session, **kwargs): Implement the behavior for when the action is trigger... | Implement the Python class `Aport` described below.
Class description:
Implement the Aport class.
Method signatures and docstrings:
- def is_compatible(self, session): Return whether the action is compatible with the session
- def process(self, session, **kwargs): Implement the behavior for when the action is trigger... | 47ef4b64f297186c6d929a8f56ecfb93dd0f44e8 | <|skeleton|>
class Aport:
def is_compatible(self, session):
"""Return whether the action is compatible with the session"""
<|body_0|>
def process(self, session, **kwargs):
"""Implement the behavior for when the action is triggered Args: session (dict): environment dictionary Returns: P... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Aport:
def is_compatible(self, session):
"""Return whether the action is compatible with the session"""
if 'AVALON_TASK' in session:
return True
return False
def process(self, session, **kwargs):
"""Implement the behavior for when the action is triggered Args: ... | the_stack_v2_python_sparse | pype/plugins/launcher/actions/Aport.py | jrsndl/pype | train | 1 | |
a4159e952c777d4e53143b6d7862a1d51dbf7ed6 | [
"self.id = door_id\nself.rooms = []\nself.is_opened = False\nself.keys_to_open_this_door = {}\nself.is_visited = False",
"for key in list_of_keys:\n if key in self.keys_to_open_this_door:\n self.is_opened = True"
] | <|body_start_0|>
self.id = door_id
self.rooms = []
self.is_opened = False
self.keys_to_open_this_door = {}
self.is_visited = False
<|end_body_0|>
<|body_start_1|>
for key in list_of_keys:
if key in self.keys_to_open_this_door:
self.is_opened =... | Door | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Door:
def __init__(self, door_id):
""":param door_id: door id as its identity Regarding keys_to_open_this_door: The logic - when we insert key, we can immediately find out, if this key is suitable for that door. That gives instant experience if you can open the door or no"""
<|bo... | stack_v2_sparse_classes_10k_train_004881 | 8,395 | no_license | [
{
"docstring": ":param door_id: door id as its identity Regarding keys_to_open_this_door: The logic - when we insert key, we can immediately find out, if this key is suitable for that door. That gives instant experience if you can open the door or no",
"name": "__init__",
"signature": "def __init__(self... | 2 | stack_v2_sparse_classes_30k_train_000028 | Implement the Python class `Door` described below.
Class description:
Implement the Door class.
Method signatures and docstrings:
- def __init__(self, door_id): :param door_id: door id as its identity Regarding keys_to_open_this_door: The logic - when we insert key, we can immediately find out, if this key is suitabl... | Implement the Python class `Door` described below.
Class description:
Implement the Door class.
Method signatures and docstrings:
- def __init__(self, door_id): :param door_id: door id as its identity Regarding keys_to_open_this_door: The logic - when we insert key, we can immediately find out, if this key is suitabl... | 636b1f6b0ab28c6eef8f8900e68393f7b1fb931a | <|skeleton|>
class Door:
def __init__(self, door_id):
""":param door_id: door id as its identity Regarding keys_to_open_this_door: The logic - when we insert key, we can immediately find out, if this key is suitable for that door. That gives instant experience if you can open the door or no"""
<|bo... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Door:
def __init__(self, door_id):
""":param door_id: door id as its identity Regarding keys_to_open_this_door: The logic - when we insert key, we can immediately find out, if this key is suitable for that door. That gives instant experience if you can open the door or no"""
self.id = door_id
... | the_stack_v2_python_sparse | Graph/Labyrinth And Treasure.py | kotsky/programming-exercises | train | 0 | |
7f04f211df37cc562e55ef98f915fd2539b3e614 | [
"eps_n1 = U_k\nE = self.E\nsig_trial = self.E * (eps_n1 - eps_p_n)\nxi_trial = sig_trial - q_n\nf_trial = abs(xi_trial) - (self.sigma_y + self.K_bar * alpha_n)\nD_shape = sig_trial.shape[:-2] + (1, 1)\nD_k = np.zeros(D_shape, dtype='float_')\nsig_k = sig_trial\nD_k[...] = E\nI = np.where(f_trial > 1e-08)\nd_gamma =... | <|body_start_0|>
eps_n1 = U_k
E = self.E
sig_trial = self.E * (eps_n1 - eps_p_n)
xi_trial = sig_trial - q_n
f_trial = abs(xi_trial) - (self.sigma_y + self.K_bar * alpha_n)
D_shape = sig_trial.shape[:-2] + (1, 1)
D_k = np.zeros(D_shape, dtype='float_')
sig_... | Model with a state management distinguishing . | ModelWithState | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelWithState:
"""Model with a state management distinguishing ."""
def get_corr_pred(self, U_k, t_n1, eps_p_n, q_n, alpha_n):
"""Return the value and the derivative of a function"""
<|body_0|>
def update_state(self, U_k, t_n1, eps_p_n, q_n, alpha_n):
"""In-plac... | stack_v2_sparse_classes_10k_train_004882 | 2,719 | no_license | [
{
"docstring": "Return the value and the derivative of a function",
"name": "get_corr_pred",
"signature": "def get_corr_pred(self, U_k, t_n1, eps_p_n, q_n, alpha_n)"
},
{
"docstring": "In-place update of state variables.",
"name": "update_state",
"signature": "def update_state(self, U_k,... | 2 | null | Implement the Python class `ModelWithState` described below.
Class description:
Model with a state management distinguishing .
Method signatures and docstrings:
- def get_corr_pred(self, U_k, t_n1, eps_p_n, q_n, alpha_n): Return the value and the derivative of a function
- def update_state(self, U_k, t_n1, eps_p_n, q... | Implement the Python class `ModelWithState` described below.
Class description:
Model with a state management distinguishing .
Method signatures and docstrings:
- def get_corr_pred(self, U_k, t_n1, eps_p_n, q_n, alpha_n): Return the value and the derivative of a function
- def update_state(self, U_k, t_n1, eps_p_n, q... | 00de9f0eec52835d839a3c6c1407cac11a496339 | <|skeleton|>
class ModelWithState:
"""Model with a state management distinguishing ."""
def get_corr_pred(self, U_k, t_n1, eps_p_n, q_n, alpha_n):
"""Return the value and the derivative of a function"""
<|body_0|>
def update_state(self, U_k, t_n1, eps_p_n, q_n, alpha_n):
"""In-plac... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ModelWithState:
"""Model with a state management distinguishing ."""
def get_corr_pred(self, U_k, t_n1, eps_p_n, q_n, alpha_n):
"""Return the value and the derivative of a function"""
eps_n1 = U_k
E = self.E
sig_trial = self.E * (eps_n1 - eps_p_n)
xi_trial = sig_tr... | the_stack_v2_python_sparse | simulator/demo/demo04_model_with_state.py | simvisage/bmcs | train | 1 |
b35564543de5a9afcb9b650a03bb42d0e97a2cd1 | [
"self.env_type = env_type\nself.protected_count = protected_count\nself.protected_size_bytes = protected_size_bytes\nself.unprotected_count = unprotected_count\nself.unprotected_size_bytes = unprotected_size_bytes",
"if dictionary is None:\n return None\nenv_type = dictionary.get('envType')\nprotected_count = ... | <|body_start_0|>
self.env_type = env_type
self.protected_count = protected_count
self.protected_size_bytes = protected_size_bytes
self.unprotected_count = unprotected_count
self.unprotected_size_bytes = unprotected_size_bytes
<|end_body_0|>
<|body_start_1|>
if dictionary... | Implementation of the 'ProtectedObjectsByEnv' model. Number of Protected Objects by Type. Attributes: env_type (string): Environment Type. protected_count (int): Number of Protected Objects. protected_size_bytes (long|int): Size of Protected Objects. unprotected_count (int): Number of Unprotected Objects. unprotected_s... | ProtectedObjectsByEnv | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProtectedObjectsByEnv:
"""Implementation of the 'ProtectedObjectsByEnv' model. Number of Protected Objects by Type. Attributes: env_type (string): Environment Type. protected_count (int): Number of Protected Objects. protected_size_bytes (long|int): Size of Protected Objects. unprotected_count (i... | stack_v2_sparse_classes_10k_train_004883 | 2,553 | permissive | [
{
"docstring": "Constructor for the ProtectedObjectsByEnv class",
"name": "__init__",
"signature": "def __init__(self, env_type=None, protected_count=None, protected_size_bytes=None, unprotected_count=None, unprotected_size_bytes=None)"
},
{
"docstring": "Creates an instance of this model from a... | 2 | stack_v2_sparse_classes_30k_train_005729 | Implement the Python class `ProtectedObjectsByEnv` described below.
Class description:
Implementation of the 'ProtectedObjectsByEnv' model. Number of Protected Objects by Type. Attributes: env_type (string): Environment Type. protected_count (int): Number of Protected Objects. protected_size_bytes (long|int): Size of ... | Implement the Python class `ProtectedObjectsByEnv` described below.
Class description:
Implementation of the 'ProtectedObjectsByEnv' model. Number of Protected Objects by Type. Attributes: env_type (string): Environment Type. protected_count (int): Number of Protected Objects. protected_size_bytes (long|int): Size of ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ProtectedObjectsByEnv:
"""Implementation of the 'ProtectedObjectsByEnv' model. Number of Protected Objects by Type. Attributes: env_type (string): Environment Type. protected_count (int): Number of Protected Objects. protected_size_bytes (long|int): Size of Protected Objects. unprotected_count (i... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ProtectedObjectsByEnv:
"""Implementation of the 'ProtectedObjectsByEnv' model. Number of Protected Objects by Type. Attributes: env_type (string): Environment Type. protected_count (int): Number of Protected Objects. protected_size_bytes (long|int): Size of Protected Objects. unprotected_count (int): Number o... | the_stack_v2_python_sparse | cohesity_management_sdk/models/protected_objects_by_env.py | cohesity/management-sdk-python | train | 24 |
bab346dbdb547045bd0cbe189f12d4a36ded41c6 | [
"curr = 0\ntotal = 1\nfor page in books:\n if curr + page > min_pages:\n total += 1\n curr = 0\n curr += page\nreturn total",
"if m > len(books) or not m:\n return -1\nlow = max(books)\nhigh = sum(books)\nwhile low < high:\n mid = (low + high) // 2\n result = self.count_students(books... | <|body_start_0|>
curr = 0
total = 1
for page in books:
if curr + page > min_pages:
total += 1
curr = 0
curr += page
return total
<|end_body_0|>
<|body_start_1|>
if m > len(books) or not m:
return -1
low ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def count_students(self, books, min_pages):
"""Returns number of students needed if you assign to each student min_pages. Time complexity: O(n). Space complexity: O(1), n is len(books)."""
<|body_0|>
def min_pages(self, books, m):
"""Returns minimum number ... | stack_v2_sparse_classes_10k_train_004884 | 2,089 | no_license | [
{
"docstring": "Returns number of students needed if you assign to each student min_pages. Time complexity: O(n). Space complexity: O(1), n is len(books).",
"name": "count_students",
"signature": "def count_students(self, books, min_pages)"
},
{
"docstring": "Returns minimum number of pages per ... | 2 | stack_v2_sparse_classes_30k_train_000963 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def count_students(self, books, min_pages): Returns number of students needed if you assign to each student min_pages. Time complexity: O(n). Space complexity: O(1), n is len(boo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def count_students(self, books, min_pages): Returns number of students needed if you assign to each student min_pages. Time complexity: O(n). Space complexity: O(1), n is len(boo... | 71b722ddfe8da04572e527b055cf8723d5c87bbf | <|skeleton|>
class Solution:
def count_students(self, books, min_pages):
"""Returns number of students needed if you assign to each student min_pages. Time complexity: O(n). Space complexity: O(1), n is len(books)."""
<|body_0|>
def min_pages(self, books, m):
"""Returns minimum number ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def count_students(self, books, min_pages):
"""Returns number of students needed if you assign to each student min_pages. Time complexity: O(n). Space complexity: O(1), n is len(books)."""
curr = 0
total = 1
for page in books:
if curr + page > min_pages:
... | the_stack_v2_python_sparse | Binary_Search/allocate_books.py | vladn90/Algorithms | train | 0 | |
da86ef7b92d36ebcfde763d4d96b1e11896e0960 | [
"self.name = name\nself.bord = []\nfor i in range(0, 3):\n self.bord.append(Puzzle2Bord(definition[i:i + 2]))\nself.bord.append(Puzzle2Bord(definition[-1] + definition[0]))\nself.orientation = 0\nself.position = position\nself.numero = numero",
"image = pygame.image.load(self.name)\nself.image = pygame.transfo... | <|body_start_0|>
self.name = name
self.bord = []
for i in range(0, 3):
self.bord.append(Puzzle2Bord(definition[i:i + 2]))
self.bord.append(Puzzle2Bord(definition[-1] + definition[0]))
self.orientation = 0
self.position = position
self.numero = numero
<... | Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle, cette information va donc bouger au fu... | Puzzle2Piece | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle... | stack_v2_sparse_classes_10k_train_004885 | 17,451 | permissive | [
{
"docstring": "On définit la pièce: :param name: nom de l'image représentant la pièce :param definition: chaîne de 4 caractères indiquant les quatre couleurs au quatre angles :param position: c'est la position initiale de la pièce, on suppose que l'orientation est nulle pour commencer :param numero: numéro de ... | 4 | null | Implement the Python class `Puzzle2Piece` described below.
Class description:
Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la pos... | Implement the Python class `Puzzle2Piece` described below.
Class description:
Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la pos... | 2abbc7a20c7437f9ab91d1ec83a6aecdefceb028 | <|skeleton|>
class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle, cette infor... | the_stack_v2_python_sparse | src/ensae_teaching_cs/special/puzzle_2.py | Pandinosaurus/ensae_teaching_cs | train | 1 |
4461b2eba907b9afb6292ad0ef79f692485cc5db | [
"super(TransformerEncoderModel, self).__init__()\nself.padding_idx = padding_idx\nself.token_embedding = nn.Embedding(vocab_size, emb_dim, padding_idx=padding_idx)\nmax_pos_len = 3000\nself.pos_embedding = nn.Embedding(max_pos_len, emb_dim, padding_idx=padding_idx)\nself.dropout = nn.Dropout(p=dropout_rate)\nself.t... | <|body_start_0|>
super(TransformerEncoderModel, self).__init__()
self.padding_idx = padding_idx
self.token_embedding = nn.Embedding(vocab_size, emb_dim, padding_idx=padding_idx)
max_pos_len = 3000
self.pos_embedding = nn.Embedding(max_pos_len, emb_dim, padding_idx=padding_idx)
... | TransformerEncoderModel | TransformerEncoderModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerEncoderModel:
"""TransformerEncoderModel"""
def __init__(self, vocab_size, emb_dim=512, hidden_size=512, n_layers=8, n_heads=8, padding_idx=0, dropout_rate=0.1):
"""__init__"""
<|body_0|>
def forward(self, input, pos):
"""forward"""
<|body_1|>
... | stack_v2_sparse_classes_10k_train_004886 | 17,522 | permissive | [
{
"docstring": "__init__",
"name": "__init__",
"signature": "def __init__(self, vocab_size, emb_dim=512, hidden_size=512, n_layers=8, n_heads=8, padding_idx=0, dropout_rate=0.1)"
},
{
"docstring": "forward",
"name": "forward",
"signature": "def forward(self, input, pos)"
},
{
"do... | 3 | null | Implement the Python class `TransformerEncoderModel` described below.
Class description:
TransformerEncoderModel
Method signatures and docstrings:
- def __init__(self, vocab_size, emb_dim=512, hidden_size=512, n_layers=8, n_heads=8, padding_idx=0, dropout_rate=0.1): __init__
- def forward(self, input, pos): forward
-... | Implement the Python class `TransformerEncoderModel` described below.
Class description:
TransformerEncoderModel
Method signatures and docstrings:
- def __init__(self, vocab_size, emb_dim=512, hidden_size=512, n_layers=8, n_heads=8, padding_idx=0, dropout_rate=0.1): __init__
- def forward(self, input, pos): forward
-... | e6ab0261eb719c21806bbadfd94001ecfe27de45 | <|skeleton|>
class TransformerEncoderModel:
"""TransformerEncoderModel"""
def __init__(self, vocab_size, emb_dim=512, hidden_size=512, n_layers=8, n_heads=8, padding_idx=0, dropout_rate=0.1):
"""__init__"""
<|body_0|>
def forward(self, input, pos):
"""forward"""
<|body_1|>
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TransformerEncoderModel:
"""TransformerEncoderModel"""
def __init__(self, vocab_size, emb_dim=512, hidden_size=512, n_layers=8, n_heads=8, padding_idx=0, dropout_rate=0.1):
"""__init__"""
super(TransformerEncoderModel, self).__init__()
self.padding_idx = padding_idx
self.t... | the_stack_v2_python_sparse | pahelix/model_zoo/protein_sequence_model.py | PaddlePaddle/PaddleHelix | train | 771 |
d0f4c7aab929c491e556f50ba681db002d29e4fe | [
"self.collection = str(collection)\nself.sizekey = str(sizekey)\nself.subvars = subvars\nself.maxlen = int(maxlen)\nself.target_columns = OrderedDict()\nself.target_columns[self.sizekey] = np.zeros(1, dtype=np.float32)\nif self.maxlen > 1:\n tree.Branch(self.sizekey, self.target_columns[self.sizekey], '{0}/F'.fo... | <|body_start_0|>
self.collection = str(collection)
self.sizekey = str(sizekey)
self.subvars = subvars
self.maxlen = int(maxlen)
self.target_columns = OrderedDict()
self.target_columns[self.sizekey] = np.zeros(1, dtype=np.float32)
if self.maxlen > 1:
tr... | Flattens an input collection like jets_pt[njets], jets_phi[njets] to jets_pt_0...jets_pt_MAXLEN, jets_phi_0...jets_phi_MAXLEN Attributes: collection (str): Base name of the collection, e.g. "jets" maxlen (int): Maximum number of objects to get from the collection subvars (list of str): List of subbranches, e.g. ["pt", ... | Flatten | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Flatten:
"""Flattens an input collection like jets_pt[njets], jets_phi[njets] to jets_pt_0...jets_pt_MAXLEN, jets_phi_0...jets_phi_MAXLEN Attributes: collection (str): Base name of the collection, e.g. "jets" maxlen (int): Maximum number of objects to get from the collection subvars (list of str)... | stack_v2_sparse_classes_10k_train_004887 | 7,967 | no_license | [
{
"docstring": "Given an output tree and the collection data, creates the branch values and branches Args: tree (TYPE): Description collection (str): Base name of the collection, e.g. \"jets\" sizekey (str): The branch that indexes the number of objects, e.g. \"njets\" subvars (list of str): List of subbranches... | 3 | stack_v2_sparse_classes_30k_test_000156 | Implement the Python class `Flatten` described below.
Class description:
Flattens an input collection like jets_pt[njets], jets_phi[njets] to jets_pt_0...jets_pt_MAXLEN, jets_phi_0...jets_phi_MAXLEN Attributes: collection (str): Base name of the collection, e.g. "jets" maxlen (int): Maximum number of objects to get fr... | Implement the Python class `Flatten` described below.
Class description:
Flattens an input collection like jets_pt[njets], jets_phi[njets] to jets_pt_0...jets_pt_MAXLEN, jets_phi_0...jets_phi_MAXLEN Attributes: collection (str): Base name of the collection, e.g. "jets" maxlen (int): Maximum number of objects to get fr... | 7792c96048e250e0008861062d4f63069204efeb | <|skeleton|>
class Flatten:
"""Flattens an input collection like jets_pt[njets], jets_phi[njets] to jets_pt_0...jets_pt_MAXLEN, jets_phi_0...jets_phi_MAXLEN Attributes: collection (str): Base name of the collection, e.g. "jets" maxlen (int): Maximum number of objects to get from the collection subvars (list of str)... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Flatten:
"""Flattens an input collection like jets_pt[njets], jets_phi[njets] to jets_pt_0...jets_pt_MAXLEN, jets_phi_0...jets_phi_MAXLEN Attributes: collection (str): Base name of the collection, e.g. "jets" maxlen (int): Maximum number of objects to get from the collection subvars (list of str): List of sub... | the_stack_v2_python_sparse | TTH/MEAnalysis/python/flattener.py | mmeinhard/CodeThesis | train | 0 |
400fc4def6973c44da0081c5f00b0c9d87415784 | [
"size = len(s)\nif size < 2:\n return s\nmax_len = 1\nres = s[0]\nfor i in range(size - 1):\n for j in range(i + 1, size):\n if j - i + 1 > max_len and self.__valid(s, i, j):\n max_len = j - i + 1\n res = s[i:j + 1]\nreturn res",
"while left < right:\n if s[left] != s[right]:... | <|body_start_0|>
size = len(s)
if size < 2:
return s
max_len = 1
res = s[0]
for i in range(size - 1):
for j in range(i + 1, size):
if j - i + 1 > max_len and self.__valid(s, i, j):
max_len = j - i + 1
... | Solution1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution1:
def longestPalindrome(self, s):
"""" 根据回文子串的定义，枚举出所有【长度大于等于2】的子串，依次判断他们是否是回文，长度为1的子串不用判断就是最长回文子串。 在具体实现时，可以只针对【当前得到的最长回文子串长度】的子串进行【回文验证】 在记录最长回文子串的时候，可以只记录【当前子串的起始位置】和【子串长度】，不必做截取 时间复杂度是 O(n ^ 3) n为字符串长度，对应三层循环，分别是 枚举字符串的左边界，右边界、判断是否是回文子串 空间复杂度是O(1)"""
<|body_0|>
... | stack_v2_sparse_classes_10k_train_004888 | 6,414 | no_license | [
{
"docstring": "\" 根据回文子串的定义，枚举出所有【长度大于等于2】的子串，依次判断他们是否是回文，长度为1的子串不用判断就是最长回文子串。 在具体实现时，可以只针对【当前得到的最长回文子串长度】的子串进行【回文验证】 在记录最长回文子串的时候，可以只记录【当前子串的起始位置】和【子串长度】，不必做截取 时间复杂度是 O(n ^ 3) n为字符串长度，对应三层循环，分别是 枚举字符串的左边界，右边界、判断是否是回文子串 空间复杂度是O(1)",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self,... | 2 | null | Implement the Python class `Solution1` described below.
Class description:
Implement the Solution1 class.
Method signatures and docstrings:
- def longestPalindrome(self, s): " 根据回文子串的定义，枚举出所有【长度大于等于2】的子串，依次判断他们是否是回文，长度为1的子串不用判断就是最长回文子串。 在具体实现时，可以只针对【当前得到的最长回文子串长度】的子串进行【回文验证】 在记录最长回文子串的时候，可以只记录【当前子串的起始位置】和【子串长度】，不必做截取... | Implement the Python class `Solution1` described below.
Class description:
Implement the Solution1 class.
Method signatures and docstrings:
- def longestPalindrome(self, s): " 根据回文子串的定义，枚举出所有【长度大于等于2】的子串，依次判断他们是否是回文，长度为1的子串不用判断就是最长回文子串。 在具体实现时，可以只针对【当前得到的最长回文子串长度】的子串进行【回文验证】 在记录最长回文子串的时候，可以只记录【当前子串的起始位置】和【子串长度】，不必做截取... | 746d77e9bfbcb3877fefae9a915004b3bfbcc612 | <|skeleton|>
class Solution1:
def longestPalindrome(self, s):
"""" 根据回文子串的定义，枚举出所有【长度大于等于2】的子串，依次判断他们是否是回文，长度为1的子串不用判断就是最长回文子串。 在具体实现时，可以只针对【当前得到的最长回文子串长度】的子串进行【回文验证】 在记录最长回文子串的时候，可以只记录【当前子串的起始位置】和【子串长度】，不必做截取 时间复杂度是 O(n ^ 3) n为字符串长度，对应三层循环，分别是 枚举字符串的左边界，右边界、判断是否是回文子串 空间复杂度是O(1)"""
<|body_0|>
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution1:
def longestPalindrome(self, s):
"""" 根据回文子串的定义，枚举出所有【长度大于等于2】的子串，依次判断他们是否是回文，长度为1的子串不用判断就是最长回文子串。 在具体实现时，可以只针对【当前得到的最长回文子串长度】的子串进行【回文验证】 在记录最长回文子串的时候，可以只记录【当前子串的起始位置】和【子串长度】，不必做截取 时间复杂度是 O(n ^ 3) n为字符串长度，对应三层循环，分别是 枚举字符串的左边界，右边界、判断是否是回文子串 空间复杂度是O(1)"""
size = len(s)
if size ... | the_stack_v2_python_sparse | 动态规划/LeetCode05.最长回文子串.py | leilalu/algorithm | train | 0 | |
19c9bcf19d67e868f2b5c68808f5f8201bfd4dc7 | [
"try:\n return (int(key[0] // 16), int(key[1] // 16))\nexcept ValueError:\n return KeyError(\"Key %s isn't usable here!\" % repr(key))",
"minx, innerx = divmod(key[0], 16)\nminz, innerz = divmod(key[1], 16)\nminx = int(minx)\nminz = int(minz)\nmaxx = minx + 1\nmaxz = minz + 1\nif innerx <= radius:\n minx... | <|body_start_0|>
try:
return (int(key[0] // 16), int(key[1] // 16))
except ValueError:
return KeyError("Key %s isn't usable here!" % repr(key))
<|end_body_0|>
<|body_start_1|>
minx, innerx = divmod(key[0], 16)
minz, innerz = divmod(key[1], 16)
minx = int(... | Class for tracking blocks in the XZ-plane. | Block2DSpatialDict | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Block2DSpatialDict:
"""Class for tracking blocks in the XZ-plane."""
def key_for_bucket(self, key):
"""Partition keys into chunk-sized buckets."""
<|body_0|>
def keys_near(self, key, radius):
"""Get all bucket keys "near" this key. This method may return a genera... | stack_v2_sparse_classes_10k_train_004889 | 5,213 | permissive | [
{
"docstring": "Partition keys into chunk-sized buckets.",
"name": "key_for_bucket",
"signature": "def key_for_bucket(self, key)"
},
{
"docstring": "Get all bucket keys \"near\" this key. This method may return a generator.",
"name": "keys_near",
"signature": "def keys_near(self, key, ra... | 2 | stack_v2_sparse_classes_30k_train_002523 | Implement the Python class `Block2DSpatialDict` described below.
Class description:
Class for tracking blocks in the XZ-plane.
Method signatures and docstrings:
- def key_for_bucket(self, key): Partition keys into chunk-sized buckets.
- def keys_near(self, key, radius): Get all bucket keys "near" this key. This metho... | Implement the Python class `Block2DSpatialDict` described below.
Class description:
Class for tracking blocks in the XZ-plane.
Method signatures and docstrings:
- def key_for_bucket(self, key): Partition keys into chunk-sized buckets.
- def keys_near(self, key, radius): Get all bucket keys "near" this key. This metho... | 7be5d792871a8447499911fa1502c6a7c1437dc3 | <|skeleton|>
class Block2DSpatialDict:
"""Class for tracking blocks in the XZ-plane."""
def key_for_bucket(self, key):
"""Partition keys into chunk-sized buckets."""
<|body_0|>
def keys_near(self, key, radius):
"""Get all bucket keys "near" this key. This method may return a genera... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Block2DSpatialDict:
"""Class for tracking blocks in the XZ-plane."""
def key_for_bucket(self, key):
"""Partition keys into chunk-sized buckets."""
try:
return (int(key[0] // 16), int(key[1] // 16))
except ValueError:
return KeyError("Key %s isn't usable her... | the_stack_v2_python_sparse | bravo/utilities/spatial.py | CyberFlameGO/bravo | train | 0 |
3743d81693706e1fe6b1c34ebaaea9dde08d6fa8 | [
"if pat == None:\n pat = 'S\\\\d{2}E\\\\d{2}'\nfor old_name in os.listdir(path):\n mid = re.findall(pat, old_name)[0]\n end = old_name.split('.')[-1]\n new_name = head + '-' + mid + '.' + end\n os.rename(path + old_name, path + new_name)\nprint('NumPat: {};\\nPath: {};'.format(pat, path))",
"with o... | <|body_start_0|>
if pat == None:
pat = 'S\\d{2}E\\d{2}'
for old_name in os.listdir(path):
mid = re.findall(pat, old_name)[0]
end = old_name.split('.')[-1]
new_name = head + '-' + mid + '.' + end
os.rename(path + old_name, path + new_name)
... | 整理文件名(字幕/视频);整理文件内容(字幕) | TvShow | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TvShow:
"""整理文件名(字幕/视频);整理文件内容(字幕)"""
def renames(self, path, head, pat=None):
"""文件名批量命名"""
<|body_0|>
def to_tidy_txt(self, file):
"""去掉字幕文件的冗余信息"""
<|body_1|>
def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'):
... | stack_v2_sparse_classes_10k_train_004890 | 48,309 | no_license | [
{
"docstring": "文件名批量命名",
"name": "renames",
"signature": "def renames(self, path, head, pat=None)"
},
{
"docstring": "去掉字幕文件的冗余信息",
"name": "to_tidy_txt",
"signature": "def to_tidy_txt(self, file)"
},
{
"docstring": "将一个视频转化为音频",
"name": "to_audio_from_video",
"signature... | 3 | stack_v2_sparse_classes_30k_val_000286 | Implement the Python class `TvShow` described below.
Class description:
整理文件名(字幕/视频);整理文件内容(字幕)
Method signatures and docstrings:
- def renames(self, path, head, pat=None): 文件名批量命名
- def to_tidy_txt(self, file): 去掉字幕文件的冗余信息
- def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'): 将一个视... | Implement the Python class `TvShow` described below.
Class description:
整理文件名(字幕/视频);整理文件内容(字幕)
Method signatures and docstrings:
- def renames(self, path, head, pat=None): 文件名批量命名
- def to_tidy_txt(self, file): 去掉字幕文件的冗余信息
- def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'): 将一个视... | b6f6897721adc616d31059f703a494bba0834b74 | <|skeleton|>
class TvShow:
"""整理文件名(字幕/视频);整理文件内容(字幕)"""
def renames(self, path, head, pat=None):
"""文件名批量命名"""
<|body_0|>
def to_tidy_txt(self, file):
"""去掉字幕文件的冗余信息"""
<|body_1|>
def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TvShow:
"""整理文件名(字幕/视频);整理文件内容(字幕)"""
def renames(self, path, head, pat=None):
"""文件名批量命名"""
if pat == None:
pat = 'S\\d{2}E\\d{2}'
for old_name in os.listdir(path):
mid = re.findall(pat, old_name)[0]
end = old_name.split('.')[-1]
ne... | the_stack_v2_python_sparse | code-drop/english.2020_5_8.py | y2sinx/dyslexia | train | 0 |
b3d91d707ce94a045011e46d5bd9b7fdce880855 | [
"if root is None:\n return '[]'\nserialize_array = []\nmy_queue = deque([root])\nwhile len(my_queue) > 0:\n element = my_queue.pop()\n if element is None:\n serialize_array.append('null')\n else:\n serialize_array.append(element.val)\n my_queue.appendleft(element.left)\n my_q... | <|body_start_0|>
if root is None:
return '[]'
serialize_array = []
my_queue = deque([root])
while len(my_queue) > 0:
element = my_queue.pop()
if element is None:
serialize_array.append('null')
else:
serialize... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_10k_train_004891 | 1,610 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 0b208516a6ae3e72bc7b79ef0ac83dcbfa100496 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root is None:
return '[]'
serialize_array = []
my_queue = deque([root])
while len(my_queue) > 0:
element = my_queue.pop()
i... | the_stack_v2_python_sparse | leetcode/medium/serialize-and-deserialize-binary-tree.py | gsantam/competitive-programming | train | 0 | |
9e9c94285ee380e89555d8769be2c15e8553f601 | [
"queryset = request.user.following.all()\npaginated = self.paginate_queryset(queryset)\nreturn self.get_paginated_response(UserProfileSerializer(paginated, many=True).data)",
"username = get_key_or_400(request, 'username')\ntry:\n user = AppUser.objects.get(username=username)\n request.user.following.add(us... | <|body_start_0|>
queryset = request.user.following.all()
paginated = self.paginate_queryset(queryset)
return self.get_paginated_response(UserProfileSerializer(paginated, many=True).data)
<|end_body_0|>
<|body_start_1|>
username = get_key_or_400(request, 'username')
try:
... | FollowingView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FollowingView:
def get(self, request, format=None):
"""List of all users followed by the current user"""
<|body_0|>
def post(self, request, format=None):
"""Follow another user"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
queryset = request.user.... | stack_v2_sparse_classes_10k_train_004892 | 4,100 | permissive | [
{
"docstring": "List of all users followed by the current user",
"name": "get",
"signature": "def get(self, request, format=None)"
},
{
"docstring": "Follow another user",
"name": "post",
"signature": "def post(self, request, format=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004921 | Implement the Python class `FollowingView` described below.
Class description:
Implement the FollowingView class.
Method signatures and docstrings:
- def get(self, request, format=None): List of all users followed by the current user
- def post(self, request, format=None): Follow another user | Implement the Python class `FollowingView` described below.
Class description:
Implement the FollowingView class.
Method signatures and docstrings:
- def get(self, request, format=None): List of all users followed by the current user
- def post(self, request, format=None): Follow another user
<|skeleton|>
class Foll... | e604cf2b9f9b3bfeed7468c668a71ae2ab48402b | <|skeleton|>
class FollowingView:
def get(self, request, format=None):
"""List of all users followed by the current user"""
<|body_0|>
def post(self, request, format=None):
"""Follow another user"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FollowingView:
def get(self, request, format=None):
"""List of all users followed by the current user"""
queryset = request.user.following.all()
paginated = self.paginate_queryset(queryset)
return self.get_paginated_response(UserProfileSerializer(paginated, many=True).data)
... | the_stack_v2_python_sparse | server/authentication/api/views.py | wcreis/Real-World-App-Django-Sapper | train | 0 | |
37780a6999508b4b636aecf97af4b766fdd3c22b | [
"self.global_args = config.get('global_args', {})\nself.scenario_data = config.get('scenario')\nself.data_dir = config.get('data_dir')\nif not self.scenario_data:\n raise ScenarioException('No blocks in scenario')\nif not self.data_dir:\n raise ScenarioException('Data directory must be set')",
"self.blocks ... | <|body_start_0|>
self.global_args = config.get('global_args', {})
self.scenario_data = config.get('scenario')
self.data_dir = config.get('data_dir')
if not self.scenario_data:
raise ScenarioException('No blocks in scenario')
if not self.data_dir:
raise Sce... | This represents a scenario, i.e. a sequence of blocks to be run on the data | Scenario | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scenario:
"""This represents a scenario, i.e. a sequence of blocks to be run on the data"""
def __init__(self, config):
"""Initialize (parse YAML scenario from a file)"""
<|body_0|>
def load_blocks(self):
"""Load all blocks into memory, finding and creating class... | stack_v2_sparse_classes_10k_train_004893 | 3,189 | permissive | [
{
"docstring": "Initialize (parse YAML scenario from a file)",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Load all blocks into memory, finding and creating class objects.",
"name": "load_blocks",
"signature": "def load_blocks(self)"
},
{
"doc... | 3 | stack_v2_sparse_classes_30k_train_001184 | Implement the Python class `Scenario` described below.
Class description:
This represents a scenario, i.e. a sequence of blocks to be run on the data
Method signatures and docstrings:
- def __init__(self, config): Initialize (parse YAML scenario from a file)
- def load_blocks(self): Load all blocks into memory, findi... | Implement the Python class `Scenario` described below.
Class description:
This represents a scenario, i.e. a sequence of blocks to be run on the data
Method signatures and docstrings:
- def __init__(self, config): Initialize (parse YAML scenario from a file)
- def load_blocks(self): Load all blocks into memory, findi... | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | <|skeleton|>
class Scenario:
"""This represents a scenario, i.e. a sequence of blocks to be run on the data"""
def __init__(self, config):
"""Initialize (parse YAML scenario from a file)"""
<|body_0|>
def load_blocks(self):
"""Load all blocks into memory, finding and creating class... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Scenario:
"""This represents a scenario, i.e. a sequence of blocks to be run on the data"""
def __init__(self, config):
"""Initialize (parse YAML scenario from a file)"""
self.global_args = config.get('global_args', {})
self.scenario_data = config.get('scenario')
self.data... | the_stack_v2_python_sparse | alex/components/nlg/tectotpl/core/run.py | oplatek/alex | train | 0 |
660469b9df4a2cf10b891f8bde46f0bdcbb77077 | [
"host_port = data_server.split(':')\nif len(host_port) == 1:\n self.data_server = 'localhost:' + data_server\nelif not len(host_port[0]):\n self.data_server = 'localhost' + data_server\nelse:\n self.data_server = data_server\nself.websocket = None\nself.back_seconds = back_seconds\nself.cleanup_interval = ... | <|body_start_0|>
host_port = data_server.split(':')
if len(host_port) == 1:
self.data_server = 'localhost:' + data_server
elif not len(host_port[0]):
self.data_server = 'localhost' + data_server
else:
self.data_server = data_server
self.websock... | CachedDataWriter | [
"MIT",
"CC-BY-NC-4.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CachedDataWriter:
def __init__(self, data_server, start_server=False, back_seconds=480, cleanup_interval=6, update_interval=1, max_backup=60 * 60 * 24):
"""Feed passed records to a CachedDataServer via a websocket. Expects records in DASRecord or dict formats. ``` data_server [host:]port... | stack_v2_sparse_classes_10k_train_004894 | 6,222 | permissive | [
{
"docstring": "Feed passed records to a CachedDataServer via a websocket. Expects records in DASRecord or dict formats. ``` data_server [host:]port on which to look for data server back_seconds Number of seconds of back data to hold in cache cleanup_interval Remove old data every N seconds update_interval Serv... | 3 | stack_v2_sparse_classes_30k_train_001328 | Implement the Python class `CachedDataWriter` described below.
Class description:
Implement the CachedDataWriter class.
Method signatures and docstrings:
- def __init__(self, data_server, start_server=False, back_seconds=480, cleanup_interval=6, update_interval=1, max_backup=60 * 60 * 24): Feed passed records to a Ca... | Implement the Python class `CachedDataWriter` described below.
Class description:
Implement the CachedDataWriter class.
Method signatures and docstrings:
- def __init__(self, data_server, start_server=False, back_seconds=480, cleanup_interval=6, update_interval=1, max_backup=60 * 60 * 24): Feed passed records to a Ca... | ba77d3958075abd21ff94a396e4a97879962ac0c | <|skeleton|>
class CachedDataWriter:
def __init__(self, data_server, start_server=False, back_seconds=480, cleanup_interval=6, update_interval=1, max_backup=60 * 60 * 24):
"""Feed passed records to a CachedDataServer via a websocket. Expects records in DASRecord or dict formats. ``` data_server [host:]port... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CachedDataWriter:
def __init__(self, data_server, start_server=False, back_seconds=480, cleanup_interval=6, update_interval=1, max_backup=60 * 60 * 24):
"""Feed passed records to a CachedDataServer via a websocket. Expects records in DASRecord or dict formats. ``` data_server [host:]port on which to l... | the_stack_v2_python_sparse | logger/writers/cached_data_writer.py | timburbank/openrvdas | train | 0 | |
490e3adb0125f796f61a28ee8a10edf392ddcf9d | [
"SimpleHandler.setup_environ(self)\nself.environ['ws4py.socket'] = get_connection(self.environ['wsgi.input'])\nself.http_version = self.environ['SERVER_PROTOCOL'].rsplit('/')[-1]",
"rest = iter(self.result)\nfirst = list(itertools.islice(rest, 1))\nself.result = itertools.chain(first, rest)\nws = None\nif self.en... | <|body_start_0|>
SimpleHandler.setup_environ(self)
self.environ['ws4py.socket'] = get_connection(self.environ['wsgi.input'])
self.http_version = self.environ['SERVER_PROTOCOL'].rsplit('/')[-1]
<|end_body_0|>
<|body_start_1|>
rest = iter(self.result)
first = list(itertools.islice... | WebSocketWSGIHandler | [
"GPL-1.0-or-later",
"GPL-2.0-or-later",
"OFL-1.1",
"MS-PL",
"AFL-2.1",
"GPL-2.0-only",
"Python-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WebSocketWSGIHandler:
def setup_environ(self):
"""Setup the environ dictionary and add the `'ws4py.socket'` key. Its associated value is the real socket underlying socket."""
<|body_0|>
def finish_response(self):
"""Completes the response and performs the following t... | stack_v2_sparse_classes_10k_train_004895 | 5,353 | permissive | [
{
"docstring": "Setup the environ dictionary and add the `'ws4py.socket'` key. Its associated value is the real socket underlying socket.",
"name": "setup_environ",
"signature": "def setup_environ(self)"
},
{
"docstring": "Completes the response and performs the following tasks: - Remove the `'w... | 2 | null | Implement the Python class `WebSocketWSGIHandler` described below.
Class description:
Implement the WebSocketWSGIHandler class.
Method signatures and docstrings:
- def setup_environ(self): Setup the environ dictionary and add the `'ws4py.socket'` key. Its associated value is the real socket underlying socket.
- def f... | Implement the Python class `WebSocketWSGIHandler` described below.
Class description:
Implement the WebSocketWSGIHandler class.
Method signatures and docstrings:
- def setup_environ(self): Setup the environ dictionary and add the `'ws4py.socket'` key. Its associated value is the real socket underlying socket.
- def f... | 23881f23577a65de396238998e8672d6c4c5a250 | <|skeleton|>
class WebSocketWSGIHandler:
def setup_environ(self):
"""Setup the environ dictionary and add the `'ws4py.socket'` key. Its associated value is the real socket underlying socket."""
<|body_0|>
def finish_response(self):
"""Completes the response and performs the following t... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class WebSocketWSGIHandler:
def setup_environ(self):
"""Setup the environ dictionary and add the `'ws4py.socket'` key. Its associated value is the real socket underlying socket."""
SimpleHandler.setup_environ(self)
self.environ['ws4py.socket'] = get_connection(self.environ['wsgi.input'])
... | the_stack_v2_python_sparse | ambari-common/src/main/python/ambari_ws4py/server/wsgirefserver.py | apache/ambari | train | 2,078 | |
8c4ab4508eb926c092c898d9562bea264f96e2ba | [
"self._points = [_format_LatLng(lat, lng, precision) for lat, lng in zip(lats, lngs)]\nedge_color = kwargs.get('edge_color')\nself._edge_color = _get_hex_color(edge_color) if edge_color is not None else None\nself._edge_alpha = kwargs.get('edge_alpha')\nself._edge_width = kwargs.get('edge_width')\nface_color = kwar... | <|body_start_0|>
self._points = [_format_LatLng(lat, lng, precision) for lat, lng in zip(lats, lngs)]
edge_color = kwargs.get('edge_color')
self._edge_color = _get_hex_color(edge_color) if edge_color is not None else None
self._edge_alpha = kwargs.get('edge_alpha')
self._edge_wid... | _Polygon | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Polygon:
def __init__(self, lats, lngs, precision, **kwargs):
"""Args: lats ([float]): Latitudes. lngs ([float]): Longitudes. precision (int): Number of digits after the decimal to round to for lat/lng values. Optional: Args: edge_color (str): Color of the polygon's edge. Can be hex ('#... | stack_v2_sparse_classes_10k_train_004896 | 2,418 | permissive | [
{
"docstring": "Args: lats ([float]): Latitudes. lngs ([float]): Longitudes. precision (int): Number of digits after the decimal to round to for lat/lng values. Optional: Args: edge_color (str): Color of the polygon's edge. Can be hex ('#00FFFF'), named ('cyan'), or matplotlib-like ('c'). edge_alpha (float): Op... | 2 | stack_v2_sparse_classes_30k_test_000143 | Implement the Python class `_Polygon` described below.
Class description:
Implement the _Polygon class.
Method signatures and docstrings:
- def __init__(self, lats, lngs, precision, **kwargs): Args: lats ([float]): Latitudes. lngs ([float]): Longitudes. precision (int): Number of digits after the decimal to round to ... | Implement the Python class `_Polygon` described below.
Class description:
Implement the _Polygon class.
Method signatures and docstrings:
- def __init__(self, lats, lngs, precision, **kwargs): Args: lats ([float]): Latitudes. lngs ([float]): Longitudes. precision (int): Number of digits after the decimal to round to ... | 8654a5a370b5ec309e1282c457eaf375c3dcb4bb | <|skeleton|>
class _Polygon:
def __init__(self, lats, lngs, precision, **kwargs):
"""Args: lats ([float]): Latitudes. lngs ([float]): Longitudes. precision (int): Number of digits after the decimal to round to for lat/lng values. Optional: Args: edge_color (str): Color of the polygon's edge. Can be hex ('#... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class _Polygon:
def __init__(self, lats, lngs, precision, **kwargs):
"""Args: lats ([float]): Latitudes. lngs ([float]): Longitudes. precision (int): Number of digits after the decimal to round to for lat/lng values. Optional: Args: edge_color (str): Color of the polygon's edge. Can be hex ('#00FFFF'), name... | the_stack_v2_python_sparse | gmplot/drawables/polygon.py | fishke22/gmplot | train | 0 | |
30a2561b4b21926031c177c254c8f00f4473e317 | [
"sql = ' select s1.bus_station_name as up_station_name,s2.bus_station_name as off_station_name,b.full_name from info_guardian g join info_student s on g.student_id = s.id join info_people_basic_facts b on s.basic_id = b.id join student_line_seat ss on g.student_id = ss.student_id join info_bus_station s1 on ss... | <|body_start_0|>
sql = ' select s1.bus_station_name as up_station_name,s2.bus_station_name as off_station_name,b.full_name from info_guardian g join info_student s on g.student_id = s.id join info_people_basic_facts b on s.basic_id = b.id join student_line_seat ss on g.student_id = ss.student_id join info_b... | InfoGuardian | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InfoGuardian:
def query_pa_tooltips(self, login_user_id):
"""获取家长提示信息 :param login_user_id :return:"""
<|body_0|>
def query_pa_health_code(self, login_user_id, clock_date):
"""是否提示家长需要上传健康码 :param login_user_id :return:"""
<|body_1|>
def query_ba_health_... | stack_v2_sparse_classes_10k_train_004897 | 3,646 | no_license | [
{
"docstring": "获取家长提示信息 :param login_user_id :return:",
"name": "query_pa_tooltips",
"signature": "def query_pa_tooltips(self, login_user_id)"
},
{
"docstring": "是否提示家长需要上传健康码 :param login_user_id :return:",
"name": "query_pa_health_code",
"signature": "def query_pa_health_code(self, lo... | 3 | stack_v2_sparse_classes_30k_train_002745 | Implement the Python class `InfoGuardian` described below.
Class description:
Implement the InfoGuardian class.
Method signatures and docstrings:
- def query_pa_tooltips(self, login_user_id): 获取家长提示信息 :param login_user_id :return:
- def query_pa_health_code(self, login_user_id, clock_date): 是否提示家长需要上传健康码 :param login... | Implement the Python class `InfoGuardian` described below.
Class description:
Implement the InfoGuardian class.
Method signatures and docstrings:
- def query_pa_tooltips(self, login_user_id): 获取家长提示信息 :param login_user_id :return:
- def query_pa_health_code(self, login_user_id, clock_date): 是否提示家长需要上传健康码 :param login... | a7cf5a0b6daa372ed860dc43d92c55fcde764eb9 | <|skeleton|>
class InfoGuardian:
def query_pa_tooltips(self, login_user_id):
"""获取家长提示信息 :param login_user_id :return:"""
<|body_0|>
def query_pa_health_code(self, login_user_id, clock_date):
"""是否提示家长需要上传健康码 :param login_user_id :return:"""
<|body_1|>
def query_ba_health_... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class InfoGuardian:
def query_pa_tooltips(self, login_user_id):
"""获取家长提示信息 :param login_user_id :return:"""
sql = ' select s1.bus_station_name as up_station_name,s2.bus_station_name as off_station_name,b.full_name from info_guardian g join info_student s on g.student_id = s.id join info_people_ba... | the_stack_v2_python_sparse | python_project/smart_schoolBus_project/app/schoolbus_situation/models/info_guardian_model.py | malqch/aibus | train | 0 | |
dabb4b405eb88bdbb1304adde116f707797e5bc8 | [
"super(LMF, self).__init__()\nself.audio_in = input_dims[0]\nself.video_in = input_dims[1]\nself.text_in = input_dims[2]\nself.audio_hidden = hidden_dims[0]\nself.video_hidden = hidden_dims[1]\nself.text_hidden = hidden_dims[2]\nself.text_out = text_out\nself.output_dim = output_dim\nself.rank = rank\nself.use_soft... | <|body_start_0|>
super(LMF, self).__init__()
self.audio_in = input_dims[0]
self.video_in = input_dims[1]
self.text_in = input_dims[2]
self.audio_hidden = hidden_dims[0]
self.video_hidden = hidden_dims[1]
self.text_hidden = hidden_dims[2]
self.text_out = te... | Low-rank Multimodal Fusion | LMF | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference",
"GPL-1.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LMF:
"""Low-rank Multimodal Fusion"""
def __init__(self, input_dims, hidden_dims, text_out, dropouts, output_dim, rank, use_softmax=False):
"""Args: input_dims - a length-3 tuple, contains (audio_dim, video_dim, text_dim) hidden_dims - another length-3 tuple, hidden dims of the sub-n... | stack_v2_sparse_classes_10k_train_004898 | 7,292 | permissive | [
{
"docstring": "Args: input_dims - a length-3 tuple, contains (audio_dim, video_dim, text_dim) hidden_dims - another length-3 tuple, hidden dims of the sub-networks text_out - int, specifying the resulting dimensions of the text subnetwork dropouts - a length-4 tuple, contains (audio_dropout, video_dropout, tex... | 2 | stack_v2_sparse_classes_30k_test_000004 | Implement the Python class `LMF` described below.
Class description:
Low-rank Multimodal Fusion
Method signatures and docstrings:
- def __init__(self, input_dims, hidden_dims, text_out, dropouts, output_dim, rank, use_softmax=False): Args: input_dims - a length-3 tuple, contains (audio_dim, video_dim, text_dim) hidde... | Implement the Python class `LMF` described below.
Class description:
Low-rank Multimodal Fusion
Method signatures and docstrings:
- def __init__(self, input_dims, hidden_dims, text_out, dropouts, output_dim, rank, use_softmax=False): Args: input_dims - a length-3 tuple, contains (audio_dim, video_dim, text_dim) hidde... | 92acc188d3a0f634de58463b6676e70df83ef808 | <|skeleton|>
class LMF:
"""Low-rank Multimodal Fusion"""
def __init__(self, input_dims, hidden_dims, text_out, dropouts, output_dim, rank, use_softmax=False):
"""Args: input_dims - a length-3 tuple, contains (audio_dim, video_dim, text_dim) hidden_dims - another length-3 tuple, hidden dims of the sub-n... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LMF:
"""Low-rank Multimodal Fusion"""
def __init__(self, input_dims, hidden_dims, text_out, dropouts, output_dim, rank, use_softmax=False):
"""Args: input_dims - a length-3 tuple, contains (audio_dim, video_dim, text_dim) hidden_dims - another length-3 tuple, hidden dims of the sub-networks text_... | the_stack_v2_python_sparse | PyTorch/contrib/others/Low-rank-Multimodal-Fusion_ID2983_for_Pytorch/model.py | Ascend/ModelZoo-PyTorch | train | 23 |
b94392c9c6547415326d80ff0923cb8ba9251783 | [
"encoded_str = ''\nfor s in strs:\n encoded_str += '%0*x' % (8, len(s)) + s\nreturn encoded_str",
"i = 0\nstrs = []\nwhile i < len(s):\n l = int(s[i:i + 8], 16)\n strs.append(s[i + 8:i + 8 + l])\n i += 8 + l\nreturn strs"
] | <|body_start_0|>
encoded_str = ''
for s in strs:
encoded_str += '%0*x' % (8, len(s)) + s
return encoded_str
<|end_body_0|>
<|body_start_1|>
i = 0
strs = []
while i < len(s):
l = int(s[i:i + 8], 16)
strs.append(s[i + 8:i + 8 + l])
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_10k_train_004899 | 2,992 | no_license | [
{
"docstring": "Encodes a list of strings to a single string. :type strs: List[str] :rtype: str",
"name": "encode",
"signature": "def encode(self, strs)"
},
{
"docstring": "Decodes a single string to a list of strings. :type s: str :rtype: List[str]",
"name": "decode",
"signature": "def ... | 2 | stack_v2_sparse_classes_30k_train_006575 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | 05e8f5a4e39d448eb333c813093fc7c1df4fc05e | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
encoded_str = ''
for s in strs:
encoded_str += '%0*x' % (8, len(s)) + s
return encoded_str
def decode(self, s):
"""Decodes a single stri... | the_stack_v2_python_sparse | leetcode_python/String/encode-and-decode-strings.py | DataEngDev/CS_basics | train | 0 |
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