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 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c9be786a7bc279628ab12e1d941a4a802ac30cf5 | [
"try:\n coconut_id = coconut.__class__.__name__ + '_' + str(coconut.weight)\n if isinstance(coconut, Coconut):\n if coconut_id in self.coconut_counts:\n self.coconut_counts[coconut_id] += number\n else:\n self.coconut_counts[coconut_id] = number\n else:\n raise At... | <|body_start_0|>
try:
coconut_id = coconut.__class__.__name__ + '_' + str(coconut.weight)
if isinstance(coconut, Coconut):
if coconut_id in self.coconut_counts:
self.coconut_counts[coconut_id] += number
else:
self.co... | Inventory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Inventory:
def add_coconut(self, coconut=None, number=0):
"""Add n coconuts to inventory"""
<|body_0|>
def remove_coconut(self, coconut=None, number=0):
"""Remove n coconuts from inventory"""
<|body_1|>
def display_inventory(self):
"""Display inv... | stack_v2_sparse_classes_75kplus_train_068100 | 3,825 | no_license | [
{
"docstring": "Add n coconuts to inventory",
"name": "add_coconut",
"signature": "def add_coconut(self, coconut=None, number=0)"
},
{
"docstring": "Remove n coconuts from inventory",
"name": "remove_coconut",
"signature": "def remove_coconut(self, coconut=None, number=0)"
},
{
"... | 3 | stack_v2_sparse_classes_30k_train_044433 | Implement the Python class `Inventory` described below.
Class description:
Implement the Inventory class.
Method signatures and docstrings:
- def add_coconut(self, coconut=None, number=0): Add n coconuts to inventory
- def remove_coconut(self, coconut=None, number=0): Remove n coconuts from inventory
- def display_in... | Implement the Python class `Inventory` described below.
Class description:
Implement the Inventory class.
Method signatures and docstrings:
- def add_coconut(self, coconut=None, number=0): Add n coconuts to inventory
- def remove_coconut(self, coconut=None, number=0): Remove n coconuts from inventory
- def display_in... | f51c1d2d9557c95e869cbce5bff7158f5aa90192 | <|skeleton|>
class Inventory:
def add_coconut(self, coconut=None, number=0):
"""Add n coconuts to inventory"""
<|body_0|>
def remove_coconut(self, coconut=None, number=0):
"""Remove n coconuts from inventory"""
<|body_1|>
def display_inventory(self):
"""Display inv... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Inventory:
def add_coconut(self, coconut=None, number=0):
"""Add n coconuts to inventory"""
try:
coconut_id = coconut.__class__.__name__ + '_' + str(coconut.weight)
if isinstance(coconut, Coconut):
if coconut_id in self.coconut_counts:
... | the_stack_v2_python_sparse | Python 03: The Python Environment/Lesson 02: Converting Data into Structured Objects/coconuts.py | MTset/Python-Programming-Coursework | train | 0 | |
c7c0d475d7f359322f3080ceccd7a4f111d528d9 | [
"temp = 0\ny = x\nif x < 0:\n return False\nelif x == 0:\n return True\nelif x > 0:\n while x:\n temp = temp * 10 + x % 10\n x = int(x / 10)\n if temp == y:\n return True\n else:\n return False",
"new_x = x\nres = 0\nif x < 0:\n return False\nwhile new_x >= 1:\n a ... | <|body_start_0|>
temp = 0
y = x
if x < 0:
return False
elif x == 0:
return True
elif x > 0:
while x:
temp = temp * 10 + x % 10
x = int(x / 10)
if temp == y:
return True
els... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, x: int) -> bool:
"""思路是设置一个为0的整数tmp，输入的数（x）取余拿到末尾数 tmp*10拿到首位数字加上末尾数得到新的tmp的第一个数 以此类推完整的倒序整个输入的x。 需要注意的有两点 1、每次过后x必须除以10再取整，保证每次都取到的是最后一位数字 2、必须要把x备份一下，否则过程中因为除以10了，x的结果会变成0 :param x: :return:"""
<|body_0|>
def isPalindrome2(self, x: int) -> ... | stack_v2_sparse_classes_75kplus_train_068101 | 1,619 | no_license | [
{
"docstring": "思路是设置一个为0的整数tmp，输入的数（x）取余拿到末尾数 tmp*10拿到首位数字加上末尾数得到新的tmp的第一个数 以此类推完整的倒序整个输入的x。 需要注意的有两点 1、每次过后x必须除以10再取整，保证每次都取到的是最后一位数字 2、必须要把x备份一下，否则过程中因为除以10了，x的结果会变成0 :param x: :return:",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x: int) -> bool"
},
{
"docstring": "2020年6月1... | 2 | stack_v2_sparse_classes_30k_train_051825 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x: int) -> bool: 思路是设置一个为0的整数tmp，输入的数（x）取余拿到末尾数 tmp*10拿到首位数字加上末尾数得到新的tmp的第一个数 以此类推完整的倒序整个输入的x。 需要注意的有两点 1、每次过后x必须除以10再取整，保证每次都取到的是最后一位数字 2、必须要把x备份一下，否则过程中因... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x: int) -> bool: 思路是设置一个为0的整数tmp，输入的数（x）取余拿到末尾数 tmp*10拿到首位数字加上末尾数得到新的tmp的第一个数 以此类推完整的倒序整个输入的x。 需要注意的有两点 1、每次过后x必须除以10再取整，保证每次都取到的是最后一位数字 2、必须要把x备份一下，否则过程中因... | 578cacff5851c5c2522981693c34e3c318002d30 | <|skeleton|>
class Solution:
def isPalindrome(self, x: int) -> bool:
"""思路是设置一个为0的整数tmp，输入的数（x）取余拿到末尾数 tmp*10拿到首位数字加上末尾数得到新的tmp的第一个数 以此类推完整的倒序整个输入的x。 需要注意的有两点 1、每次过后x必须除以10再取整，保证每次都取到的是最后一位数字 2、必须要把x备份一下，否则过程中因为除以10了，x的结果会变成0 :param x: :return:"""
<|body_0|>
def isPalindrome2(self, x: int) -> ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isPalindrome(self, x: int) -> bool:
"""思路是设置一个为0的整数tmp，输入的数（x）取余拿到末尾数 tmp*10拿到首位数字加上末尾数得到新的tmp的第一个数 以此类推完整的倒序整个输入的x。 需要注意的有两点 1、每次过后x必须除以10再取整，保证每次都取到的是最后一位数字 2、必须要把x备份一下，否则过程中因为除以10了，x的结果会变成0 :param x: :return:"""
temp = 0
y = x
if x < 0:
return False... | the_stack_v2_python_sparse | 回文数.py | cjrzs/MyLeetCode | train | 8 | |
1d1c309cb307e861c7e6728ad8d18039797e7c89 | [
"if not head or not head.next:\n return head\nfirstNode = head\nsecondNode = head.next\nfirstNode.next = self.swapPairs(secondNode.next)\nsecondNode.next = firstNode\nreturn secondNode",
"dummyNode = ListNode(0)\ndummyNode.next = head\npreNode = dummyNode\nwhile head and head.next:\n firstNode = head\n s... | <|body_start_0|>
if not head or not head.next:
return head
firstNode = head
secondNode = head.next
firstNode.next = self.swapPairs(secondNode.next)
secondNode.next = firstNode
return secondNode
<|end_body_0|>
<|body_start_1|>
dummyNode = ListNode(0)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def swapPairs(self, head):
"""递归处理"""
<|body_0|>
def fun2(self, head):
"""迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head or not head.next:
return head
firstNode = ... | stack_v2_sparse_classes_75kplus_train_068102 | 1,289 | no_license | [
{
"docstring": "递归处理",
"name": "swapPairs",
"signature": "def swapPairs(self, head)"
},
{
"docstring": "迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继",
"name": "fun2",
"signature": "def fun2(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_030516 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head): 递归处理
- def fun2(self, head): 迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head): 递归处理
- def fun2(self, head): 迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继
<|skeleton|>
class Solution:
def swapPairs(self, head):
"""递归处理""... | 0b10f5731690da7998add288e4b0b87d5d71a97e | <|skeleton|>
class Solution:
def swapPairs(self, head):
"""递归处理"""
<|body_0|>
def fun2(self, head):
"""迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def swapPairs(self, head):
"""递归处理"""
if not head or not head.next:
return head
firstNode = head
secondNode = head.next
firstNode.next = self.swapPairs(secondNode.next)
secondNode.next = firstNode
return secondNode
def fun2(sel... | the_stack_v2_python_sparse | leetcode/leetcode/24.两两交换链表中的节点.py | GGL12/myStudy | train | 0 | |
5efc1a278ac51ce79b8faa4b12fa1b9fb508245a | [
"self.__users_collection = users_collection\nself.__id_column = id_column\nself.__status_column = status_column\nself.__params_column = params_column\nself.__free_status = free_status\nself.__storage = storage\nself.__with_params = with_params",
"columns = [self.__status_column]\nresponse = self.__storage.get_dat... | <|body_start_0|>
self.__users_collection = users_collection
self.__id_column = id_column
self.__status_column = status_column
self.__params_column = params_column
self.__free_status = free_status
self.__storage = storage
self.__with_params = with_params
<|end_body... | Class for managing users' state | StateManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StateManager:
"""Class for managing users' state"""
def __init__(self, storage: Storage, users_collection: str='Users', id_column: str='_id', status_column: str='State', params_column: str='State_Params', free_status: str='free', with_params: bool=False):
"""Parameters ---------- sto... | stack_v2_sparse_classes_75kplus_train_068103 | 5,892 | permissive | [
{
"docstring": "Parameters ---------- storage : Storage pointer to the inherited class from Storage (i.e MongoDBStorage) users_collection : str, optional name of id column from users_collection, by default \"Users\" id_column : str, optional name of id column from users_collection, by default \"_id\" status_col... | 6 | stack_v2_sparse_classes_30k_train_050755 | Implement the Python class `StateManager` described below.
Class description:
Class for managing users' state
Method signatures and docstrings:
- def __init__(self, storage: Storage, users_collection: str='Users', id_column: str='_id', status_column: str='State', params_column: str='State_Params', free_status: str='f... | Implement the Python class `StateManager` described below.
Class description:
Class for managing users' state
Method signatures and docstrings:
- def __init__(self, storage: Storage, users_collection: str='Users', id_column: str='_id', status_column: str='State', params_column: str='State_Params', free_status: str='f... | 7bf107b448cdd0e5d7f1cf85726b06c677ed922d | <|skeleton|>
class StateManager:
"""Class for managing users' state"""
def __init__(self, storage: Storage, users_collection: str='Users', id_column: str='_id', status_column: str='State', params_column: str='State_Params', free_status: str='free', with_params: bool=False):
"""Parameters ---------- sto... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StateManager:
"""Class for managing users' state"""
def __init__(self, storage: Storage, users_collection: str='Users', id_column: str='_id', status_column: str='State', params_column: str='State_Params', free_status: str='free', with_params: bool=False):
"""Parameters ---------- storage : Storag... | the_stack_v2_python_sparse | advancedbot/components/state_managing/statemanager.py | sdallaboratory/advanced-telegram-bot | train | 6 |
555a63e5f144891b5bae20501841a74ac1937e8c | [
"self.name = name\nself.age = age\nself.favourite_food = food\nself.mood = 'Happy'",
"if self.favourite_food == food:\n self.mood = 'ecstatic'\n print('Ah, this is my favourite!')"
] | <|body_start_0|>
self.name = name
self.age = age
self.favourite_food = food
self.mood = 'Happy'
<|end_body_0|>
<|body_start_1|>
if self.favourite_food == food:
self.mood = 'ecstatic'
print('Ah, this is my favourite!')
<|end_body_1|>
| Person | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Person:
def __init__(self, name, age, food):
"""(Person, string, int, string) -> NoneType Create new Person object with given, name, age, and favourite foood."""
<|body_0|>
def eat(self, food):
"""Person, string) -> NoneType Make this person eat the food. Change the ... | stack_v2_sparse_classes_75kplus_train_068104 | 678 | permissive | [
{
"docstring": "(Person, string, int, string) -> NoneType Create new Person object with given, name, age, and favourite foood.",
"name": "__init__",
"signature": "def __init__(self, name, age, food)"
},
{
"docstring": "Person, string) -> NoneType Make this person eat the food. Change the mood of... | 2 | stack_v2_sparse_classes_30k_train_053690 | Implement the Python class `Person` described below.
Class description:
Implement the Person class.
Method signatures and docstrings:
- def __init__(self, name, age, food): (Person, string, int, string) -> NoneType Create new Person object with given, name, age, and favourite foood.
- def eat(self, food): Person, str... | Implement the Python class `Person` described below.
Class description:
Implement the Person class.
Method signatures and docstrings:
- def __init__(self, name, age, food): (Person, string, int, string) -> NoneType Create new Person object with given, name, age, and favourite foood.
- def eat(self, food): Person, str... | 37009dfdbef9a15c2851bcca2a4e029267e6a02d | <|skeleton|>
class Person:
def __init__(self, name, age, food):
"""(Person, string, int, string) -> NoneType Create new Person object with given, name, age, and favourite foood."""
<|body_0|>
def eat(self, food):
"""Person, string) -> NoneType Make this person eat the food. Change the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Person:
def __init__(self, name, age, food):
"""(Person, string, int, string) -> NoneType Create new Person object with given, name, age, and favourite foood."""
self.name = name
self.age = age
self.favourite_food = food
self.mood = 'Happy'
def eat(self, food):
... | the_stack_v2_python_sparse | uoft/CSC148H1F Intro to Comp Sci/@week1_object_oriented/@@playground/class.py | Reginald-Lee/biji-ben | train | 0 | |
fef474436fa23697a0539df0fe47ed146f3b3b78 | [
"self.__buckets = []\nfor num in range(size):\n self.__list = SortedList()\n self.__buckets.append(self.__list)",
"table = ''\nfor num in range(len(self.__buckets)):\n table += '{%3i}%s\\n' % (self.__buckets[num].size(), str(self.__buckets[num]))\nreturn table",
"code = int(hash_code(value))\npos = int... | <|body_start_0|>
self.__buckets = []
for num in range(size):
self.__list = SortedList()
self.__buckets.append(self.__list)
<|end_body_0|>
<|body_start_1|>
table = ''
for num in range(len(self.__buckets)):
table += '{%3i}%s\n' % (self.__buckets[num].si... | HashTable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HashTable:
def __init__(self, size):
"""H(size) creates a hash table with the desired size"""
<|body_0|>
def __str__(self):
"""H.__str__() or H --> str Returns the string representations of a hash table."""
<|body_1|>
def insert(self, value):
"""... | stack_v2_sparse_classes_75kplus_train_068105 | 6,278 | no_license | [
{
"docstring": "H(size) creates a hash table with the desired size",
"name": "__init__",
"signature": "def __init__(self, size)"
},
{
"docstring": "H.__str__() or H --> str Returns the string representations of a hash table.",
"name": "__str__",
"signature": "def __str__(self)"
},
{
... | 6 | stack_v2_sparse_classes_30k_train_011706 | Implement the Python class `HashTable` described below.
Class description:
Implement the HashTable class.
Method signatures and docstrings:
- def __init__(self, size): H(size) creates a hash table with the desired size
- def __str__(self): H.__str__() or H --> str Returns the string representations of a hash table.
-... | Implement the Python class `HashTable` described below.
Class description:
Implement the HashTable class.
Method signatures and docstrings:
- def __init__(self, size): H(size) creates a hash table with the desired size
- def __str__(self): H.__str__() or H --> str Returns the string representations of a hash table.
-... | ff38fb7cb7d0ee9abd02014d4c13e161d9647a17 | <|skeleton|>
class HashTable:
def __init__(self, size):
"""H(size) creates a hash table with the desired size"""
<|body_0|>
def __str__(self):
"""H.__str__() or H --> str Returns the string representations of a hash table."""
<|body_1|>
def insert(self, value):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HashTable:
def __init__(self, size):
"""H(size) creates a hash table with the desired size"""
self.__buckets = []
for num in range(size):
self.__list = SortedList()
self.__buckets.append(self.__list)
def __str__(self):
"""H.__str__() or H --> str Re... | the_stack_v2_python_sparse | Task 2/hash_table.py | jsinoimeri/Gr12-Python | train | 0 | |
a64abaf0507f14698fb3a52090b09af888be8e4b | [
"youtify_user_model = get_current_youtify_user_model()\nif youtify_user_model == None:\n self.error(403)\n return\nplaylist_id = self.request.path.split('/')[-1]\nplaylist_model = Playlist.get_by_id(int(playlist_id))\njson = self.request.get('json', None)\ndevice = self.request.get('device')\nif json is None:... | <|body_start_0|>
youtify_user_model = get_current_youtify_user_model()
if youtify_user_model == None:
self.error(403)
return
playlist_id = self.request.path.split('/')[-1]
playlist_model = Playlist.get_by_id(int(playlist_id))
json = self.request.get('json'... | FavoriteHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FavoriteHandler:
def post(self):
"""Add a track to the favorite list"""
<|body_0|>
def delete(self):
"""Remove a track from favorites"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
youtify_user_model = get_current_youtify_user_model()
if yo... | stack_v2_sparse_classes_75kplus_train_068106 | 2,421 | permissive | [
{
"docstring": "Add a track to the favorite list",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "Remove a track from favorites",
"name": "delete",
"signature": "def delete(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042626 | Implement the Python class `FavoriteHandler` described below.
Class description:
Implement the FavoriteHandler class.
Method signatures and docstrings:
- def post(self): Add a track to the favorite list
- def delete(self): Remove a track from favorites | Implement the Python class `FavoriteHandler` described below.
Class description:
Implement the FavoriteHandler class.
Method signatures and docstrings:
- def post(self): Add a track to the favorite list
- def delete(self): Remove a track from favorites
<|skeleton|>
class FavoriteHandler:
def post(self):
... | 1855f242f15a9a66a8868ced849ddd77385426e7 | <|skeleton|>
class FavoriteHandler:
def post(self):
"""Add a track to the favorite list"""
<|body_0|>
def delete(self):
"""Remove a track from favorites"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FavoriteHandler:
def post(self):
"""Add a track to the favorite list"""
youtify_user_model = get_current_youtify_user_model()
if youtify_user_model == None:
self.error(403)
return
playlist_id = self.request.path.split('/')[-1]
playlist_model = Pl... | the_stack_v2_python_sparse | favorites.py | blen2r/youtify | train | 0 | |
ffebc5f1eb3aa791cc80d3e3f90a7077aafa4792 | [
"assert 0.0 <= learning_rate <= 1, 'Invalid learning rate'\nself._num_elites = num_elites\nself._lr = learning_rate",
"assert self._num_elites <= trajectories.discount.shape[0], 'num_elites needs to be smaller than population size'\nassert tf.equal(tf.reduce_all(trajectories.is_boundary()[:, :-1]), False), 'No tr... | <|body_start_0|>
assert 0.0 <= learning_rate <= 1, 'Invalid learning rate'
self._num_elites = num_elites
self._lr = learning_rate
<|end_body_0|>
<|body_start_1|>
assert self._num_elites <= trajectories.discount.shape[0], 'num_elites needs to be smaller than population size'
asse... | This `PolicyStateUpdater` updates the policy state for the cross entropy method policy. | CrossEntropyMethodPolicyStateUpdater | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CrossEntropyMethodPolicyStateUpdater:
"""This `PolicyStateUpdater` updates the policy state for the cross entropy method policy."""
def __init__(self, num_elites: int, learning_rate: float):
""":param num_elites: number of samples to use to update sampling distribution :param learnin... | stack_v2_sparse_classes_75kplus_train_068107 | 6,809 | permissive | [
{
"docstring": ":param num_elites: number of samples to use to update sampling distribution :param learning_rate: in [0,1] determines how quickly to update sampling distribution",
"name": "__init__",
"signature": "def __init__(self, num_elites: int, learning_rate: float)"
},
{
"docstring": "Upda... | 2 | stack_v2_sparse_classes_30k_train_019527 | Implement the Python class `CrossEntropyMethodPolicyStateUpdater` described below.
Class description:
This `PolicyStateUpdater` updates the policy state for the cross entropy method policy.
Method signatures and docstrings:
- def __init__(self, num_elites: int, learning_rate: float): :param num_elites: number of samp... | Implement the Python class `CrossEntropyMethodPolicyStateUpdater` described below.
Class description:
This `PolicyStateUpdater` updates the policy state for the cross entropy method policy.
Method signatures and docstrings:
- def __init__(self, num_elites: int, learning_rate: float): :param num_elites: number of samp... | 239a994cd7efc1054db5273a49befe2acc00c091 | <|skeleton|>
class CrossEntropyMethodPolicyStateUpdater:
"""This `PolicyStateUpdater` updates the policy state for the cross entropy method policy."""
def __init__(self, num_elites: int, learning_rate: float):
""":param num_elites: number of samples to use to update sampling distribution :param learnin... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CrossEntropyMethodPolicyStateUpdater:
"""This `PolicyStateUpdater` updates the policy state for the cross entropy method policy."""
def __init__(self, num_elites: int, learning_rate: float):
""":param num_elites: number of samples to use to update sampling distribution :param learning_rate: in [0... | the_stack_v2_python_sparse | bellman/trajectory_optimisers/cross_entropy_method.py | Bellman-devs/bellman | train | 49 |
ab8730795161ecb89426f9f0db37c162c2c1f894 | [
"self.dic = {}\nfor word in set(dictionary):\n if word:\n if len(word) <= 2:\n if word not in self.dic:\n self.dic[word] = set()\n self.dic[word].add(word)\n else:\n abb = word[0] + str(len(word) - 2) + word[-1]\n if abb in self.dic:\n ... | <|body_start_0|>
self.dic = {}
for word in set(dictionary):
if word:
if len(word) <= 2:
if word not in self.dic:
self.dic[word] = set()
self.dic[word].add(word)
else:
abb =... | ValidWordAbbr | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidWordAbbr:
def __init__(self, dictionary):
"""initialize your data structure here. :type dictionary: List[str]"""
<|body_0|>
def isUnique(self, word):
"""check if a word is unique. :type word: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_75kplus_train_068108 | 1,496 | no_license | [
{
"docstring": "initialize your data structure here. :type dictionary: List[str]",
"name": "__init__",
"signature": "def __init__(self, dictionary)"
},
{
"docstring": "check if a word is unique. :type word: str :rtype: bool",
"name": "isUnique",
"signature": "def isUnique(self, word)"
... | 2 | stack_v2_sparse_classes_30k_test_001055 | Implement the Python class `ValidWordAbbr` described below.
Class description:
Implement the ValidWordAbbr class.
Method signatures and docstrings:
- def __init__(self, dictionary): initialize your data structure here. :type dictionary: List[str]
- def isUnique(self, word): check if a word is unique. :type word: str ... | Implement the Python class `ValidWordAbbr` described below.
Class description:
Implement the ValidWordAbbr class.
Method signatures and docstrings:
- def __init__(self, dictionary): initialize your data structure here. :type dictionary: List[str]
- def isUnique(self, word): check if a word is unique. :type word: str ... | f1b85a2bfee024ef3afdf2ca0b223842c2d2d3f3 | <|skeleton|>
class ValidWordAbbr:
def __init__(self, dictionary):
"""initialize your data structure here. :type dictionary: List[str]"""
<|body_0|>
def isUnique(self, word):
"""check if a word is unique. :type word: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ValidWordAbbr:
def __init__(self, dictionary):
"""initialize your data structure here. :type dictionary: List[str]"""
self.dic = {}
for word in set(dictionary):
if word:
if len(word) <= 2:
if word not in self.dic:
... | the_stack_v2_python_sparse | 288-Unique-Word-Abbreviation/solution.py | Xochitlxie/Leetcode | train | 0 | |
31ddae5b426974b91acf6cfbe555864b0391cae9 | [
"super().__init__(structure, sort_structure=False, **kwargs)\nself.structure = structure\nself.num_perturb = num_perturb",
"if self.num_perturb > 0 and self.num_perturb <= len(self.structure):\n syms = [site.specie.symbol for site in self.structure[self.num_perturb:]]\n syms = [a[0] for a in itertools.group... | <|body_start_0|>
super().__init__(structure, sort_structure=False, **kwargs)
self.structure = structure
self.num_perturb = num_perturb
<|end_body_0|>
<|body_start_1|>
if self.num_perturb > 0 and self.num_perturb <= len(self.structure):
syms = [site.specie.symbol for site in ... | Derived Poscar class that allows the distinction of individual sites in the Structure | PoscarPerturb | [
"LicenseRef-scancode-hdf5",
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PoscarPerturb:
"""Derived Poscar class that allows the distinction of individual sites in the Structure"""
def __init__(self, structure: Structure, num_perturb: int=1, **kwargs):
"""Args: structure: num_perturb: Number of sites to perturb; First n sites are indicated as "separate" sp... | stack_v2_sparse_classes_75kplus_train_068109 | 25,948 | permissive | [
{
"docstring": "Args: structure: num_perturb: Number of sites to perturb; First n sites are indicated as \"separate\" species **kwargs:",
"name": "__init__",
"signature": "def __init__(self, structure: Structure, num_perturb: int=1, **kwargs)"
},
{
"docstring": "Sequence of symbols associated wi... | 3 | stack_v2_sparse_classes_30k_test_001167 | Implement the Python class `PoscarPerturb` described below.
Class description:
Derived Poscar class that allows the distinction of individual sites in the Structure
Method signatures and docstrings:
- def __init__(self, structure: Structure, num_perturb: int=1, **kwargs): Args: structure: num_perturb: Number of sites... | Implement the Python class `PoscarPerturb` described below.
Class description:
Derived Poscar class that allows the distinction of individual sites in the Structure
Method signatures and docstrings:
- def __init__(self, structure: Structure, num_perturb: int=1, **kwargs): Args: structure: num_perturb: Number of sites... | f4060e55ae3a22289fde9516ff0e8e4ac1d22190 | <|skeleton|>
class PoscarPerturb:
"""Derived Poscar class that allows the distinction of individual sites in the Structure"""
def __init__(self, structure: Structure, num_perturb: int=1, **kwargs):
"""Args: structure: num_perturb: Number of sites to perturb; First n sites are indicated as "separate" sp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PoscarPerturb:
"""Derived Poscar class that allows the distinction of individual sites in the Structure"""
def __init__(self, structure: Structure, num_perturb: int=1, **kwargs):
"""Args: structure: num_perturb: Number of sites to perturb; First n sites are indicated as "separate" species **kwarg... | the_stack_v2_python_sparse | atomate/vasp/workflows/base/hubbard_hund_linresp.py | hackingmaterials/atomate | train | 217 |
795453f10a85f9fe6bbec59c84e15847f13d9090 | [
"self.id = id\nself.number = number\nself.name = name\nself.balance = balance\nself.mtype = mtype\nself.status = status\nself.customer_id = customer_id\nself.institution_id = institution_id\nself.balance_date = balance_date\nself.created_date = created_date\nself.currency = currency\nself.institution_login_id = ins... | <|body_start_0|>
self.id = id
self.number = number
self.name = name
self.balance = balance
self.mtype = mtype
self.status = status
self.customer_id = customer_id
self.institution_id = institution_id
self.balance_date = balance_date
self.cre... | Implementation of the 'Account1' model. TODO: type model description here. Attributes: id (string): TODO: type description here. number (string): TODO: type description here. name (string): TODO: type description here. balance (float): TODO: type description here. mtype (string): TODO: type description here. status (st... | Account1 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Account1:
"""Implementation of the 'Account1' model. TODO: type model description here. Attributes: id (string): TODO: type description here. number (string): TODO: type description here. name (string): TODO: type description here. balance (float): TODO: type description here. mtype (string): TOD... | stack_v2_sparse_classes_75kplus_train_068110 | 4,584 | permissive | [
{
"docstring": "Constructor for the Account1 class",
"name": "__init__",
"signature": "def __init__(self, id=None, number=None, name=None, balance=None, mtype=None, status=None, customer_id=None, institution_id=None, balance_date=None, created_date=None, currency=None, institution_login_id=None, display... | 2 | stack_v2_sparse_classes_30k_test_002609 | Implement the Python class `Account1` described below.
Class description:
Implementation of the 'Account1' model. TODO: type model description here. Attributes: id (string): TODO: type description here. number (string): TODO: type description here. name (string): TODO: type description here. balance (float): TODO: typ... | Implement the Python class `Account1` described below.
Class description:
Implementation of the 'Account1' model. TODO: type model description here. Attributes: id (string): TODO: type description here. number (string): TODO: type description here. name (string): TODO: type description here. balance (float): TODO: typ... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class Account1:
"""Implementation of the 'Account1' model. TODO: type model description here. Attributes: id (string): TODO: type description here. number (string): TODO: type description here. name (string): TODO: type description here. balance (float): TODO: type description here. mtype (string): TOD... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Account1:
"""Implementation of the 'Account1' model. TODO: type model description here. Attributes: id (string): TODO: type description here. number (string): TODO: type description here. name (string): TODO: type description here. balance (float): TODO: type description here. mtype (string): TODO: type descr... | the_stack_v2_python_sparse | finicityapi/models/account_1.py | monarchmoney/finicity-python | train | 0 |
3ae0ed4b3264bd97ca9c6a873fd87455121015fe | [
"if not grid:\n return 0\nm, n = (len(grid), len(grid[0]))\ndp = [[0] * n for i in xrange(m)]\nfor i in xrange(m):\n for j in xrange(n):\n if i == 0 and j == 0:\n dp[i][j] = grid[i][j]\n elif i == 0 and j != 0:\n dp[i][j] = dp[i][j - 1] + grid[i][j]\n elif i != 0 and... | <|body_start_0|>
if not grid:
return 0
m, n = (len(grid), len(grid[0]))
dp = [[0] * n for i in xrange(m)]
for i in xrange(m):
for j in xrange(n):
if i == 0 and j == 0:
dp[i][j] = grid[i][j]
elif i == 0 and j != 0... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minPathSum1(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_0|>
def minPathSum2(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_1|>
def minPathSum(self, grid):
""":type grid: List[List[int]] :rtyp... | stack_v2_sparse_classes_75kplus_train_068111 | 2,285 | no_license | [
{
"docstring": ":type grid: List[List[int]] :rtype: int",
"name": "minPathSum1",
"signature": "def minPathSum1(self, grid)"
},
{
"docstring": ":type grid: List[List[int]] :rtype: int",
"name": "minPathSum2",
"signature": "def minPathSum2(self, grid)"
},
{
"docstring": ":type grid... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum1(self, grid): :type grid: List[List[int]] :rtype: int
- def minPathSum2(self, grid): :type grid: List[List[int]] :rtype: int
- def minPathSum(self, grid): :type gr... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum1(self, grid): :type grid: List[List[int]] :rtype: int
- def minPathSum2(self, grid): :type grid: List[List[int]] :rtype: int
- def minPathSum(self, grid): :type gr... | 9687f8e743a8b6396fff192f22b5256d1025f86b | <|skeleton|>
class Solution:
def minPathSum1(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_0|>
def minPathSum2(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_1|>
def minPathSum(self, grid):
""":type grid: List[List[int]] :rtyp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minPathSum1(self, grid):
""":type grid: List[List[int]] :rtype: int"""
if not grid:
return 0
m, n = (len(grid), len(grid[0]))
dp = [[0] * n for i in xrange(m)]
for i in xrange(m):
for j in xrange(n):
if i == 0 and j ... | the_stack_v2_python_sparse | 2017/dp/Minimum_Path_Sum.py | buhuipao/LeetCode | train | 5 | |
487778158244c02cbb0cd58d140f553edd0dbea6 | [
"super(CnnOnline_2DFlat, self).__init__()\nself.Conv1 = torch.nn.Conv1d(1, int(H), D_in, stride=1, padding=0, dilation=1, groups=1, bias=False, padding_mode='zeros')\nself.lin1 = torch.nn.Linear(int(H), D_out, bias=False)\nself.relu = torch.nn.PReLU(num_parameters=int(H))",
"Current_batchsize = int(x.shape[0])\nd... | <|body_start_0|>
super(CnnOnline_2DFlat, self).__init__()
self.Conv1 = torch.nn.Conv1d(1, int(H), D_in, stride=1, padding=0, dilation=1, groups=1, bias=False, padding_mode='zeros')
self.lin1 = torch.nn.Linear(int(H), D_out, bias=False)
self.relu = torch.nn.PReLU(num_parameters=int(H))
<|... | CnnOnline_2DFlat | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CnnOnline_2DFlat:
def __init__(self, D_in, H, D_out):
"""In the constructor we instantiate two nn.Conv1d modules and assign them as member variables."""
<|body_0|>
def forward(self, x):
"""In the forward function we accept a Tensor of input data and we must return a ... | stack_v2_sparse_classes_75kplus_train_068112 | 3,350 | no_license | [
{
"docstring": "In the constructor we instantiate two nn.Conv1d modules and assign them as member variables.",
"name": "__init__",
"signature": "def __init__(self, D_in, H, D_out)"
},
{
"docstring": "In the forward function we accept a Tensor of input data and we must return a Tensor of output d... | 2 | stack_v2_sparse_classes_30k_train_018156 | Implement the Python class `CnnOnline_2DFlat` described below.
Class description:
Implement the CnnOnline_2DFlat class.
Method signatures and docstrings:
- def __init__(self, D_in, H, D_out): In the constructor we instantiate two nn.Conv1d modules and assign them as member variables.
- def forward(self, x): In the fo... | Implement the Python class `CnnOnline_2DFlat` described below.
Class description:
Implement the CnnOnline_2DFlat class.
Method signatures and docstrings:
- def __init__(self, D_in, H, D_out): In the constructor we instantiate two nn.Conv1d modules and assign them as member variables.
- def forward(self, x): In the fo... | 2b8566b8b27d35174ec234ecd905c7f284e3af69 | <|skeleton|>
class CnnOnline_2DFlat:
def __init__(self, D_in, H, D_out):
"""In the constructor we instantiate two nn.Conv1d modules and assign them as member variables."""
<|body_0|>
def forward(self, x):
"""In the forward function we accept a Tensor of input data and we must return a ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CnnOnline_2DFlat:
def __init__(self, D_in, H, D_out):
"""In the constructor we instantiate two nn.Conv1d modules and assign them as member variables."""
super(CnnOnline_2DFlat, self).__init__()
self.Conv1 = torch.nn.Conv1d(1, int(H), D_in, stride=1, padding=0, dilation=1, groups=1, bia... | the_stack_v2_python_sparse | src_dir/DiscontinuedNets/cnn_collectionOnline2D_Flat.py | unravel11/GMRES-Learning | train | 0 | |
ee030a165e3dc8b9c3c6f40e5a5ffa043bc12e27 | [
"url = longUrl[9:]\nlast = url.split('/')[-1]\nencode = last.encode('UTF-8', 'strict')\nreturn longUrl.replace(last, encode)",
"url = shortUrl[9:]\nlast = url.split('/')[-1]\ndecode = last.decode('UTF-8', 'strict')\nreturn shortUrl.replace(last, decode)"
] | <|body_start_0|>
url = longUrl[9:]
last = url.split('/')[-1]
encode = last.encode('UTF-8', 'strict')
return longUrl.replace(last, encode)
<|end_body_0|>
<|body_start_1|>
url = shortUrl[9:]
last = url.split('/')[-1]
decode = last.decode('UTF-8', 'strict')
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, longUrl):
"""Encodes a URL to a shortened URL. :type longUrl: str :rtype: str"""
<|body_0|>
def decode(self, shortUrl):
"""Decodes a shortened URL to its original URL. :type shortUrl: str :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_75kplus_train_068113 | 734 | no_license | [
{
"docstring": "Encodes a URL to a shortened URL. :type longUrl: str :rtype: str",
"name": "encode",
"signature": "def encode(self, longUrl)"
},
{
"docstring": "Decodes a shortened URL to its original URL. :type shortUrl: str :rtype: str",
"name": "decode",
"signature": "def decode(self,... | 2 | stack_v2_sparse_classes_30k_train_017407 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, longUrl): Encodes a URL to a shortened URL. :type longUrl: str :rtype: str
- def decode(self, shortUrl): Decodes a shortened URL to its original URL. :type shortUrl: s... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, longUrl): Encodes a URL to a shortened URL. :type longUrl: str :rtype: str
- def decode(self, shortUrl): Decodes a shortened URL to its original URL. :type shortUrl: s... | cbcebd132cdeb9daaf2f8257e677f9d588d77fa0 | <|skeleton|>
class Codec:
def encode(self, longUrl):
"""Encodes a URL to a shortened URL. :type longUrl: str :rtype: str"""
<|body_0|>
def decode(self, shortUrl):
"""Decodes a shortened URL to its original URL. :type shortUrl: str :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def encode(self, longUrl):
"""Encodes a URL to a shortened URL. :type longUrl: str :rtype: str"""
url = longUrl[9:]
last = url.split('/')[-1]
encode = last.encode('UTF-8', 'strict')
return longUrl.replace(last, encode)
def decode(self, shortUrl):
"""... | the_stack_v2_python_sparse | Medium/Encode&DecodeTinyURL.py | rajgopav/Leetcode-python | train | 0 | |
c8585b74346b169df05e8e5b949c12260bf89f7e | [
"clen = len(prerequisites)\nif clen == 0:\n return [i for i in range(numCourses)]\ninverse_adj = [set() for _ in range(numCourses)]\nfor second, first in prerequisites:\n inverse_adj[second].add(first)\nvisited = [0 for _ in range(numCourses)]\nres = []\nfor i in range(numCourses):\n if self.__dfs(i, inver... | <|body_start_0|>
clen = len(prerequisites)
if clen == 0:
return [i for i in range(numCourses)]
inverse_adj = [set() for _ in range(numCourses)]
for second, first in prerequisites:
inverse_adj[second].add(first)
visited = [0 for _ in range(numCourses)]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findOrder(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]"""
<|body_0|>
def __dfs(self, vertex, inverse_adj, visited, res):
"""注意：这个递归方法的返回值是返回是否有环 :param vertex: 结点的索引 :param inverse_adj... | stack_v2_sparse_classes_75kplus_train_068114 | 4,273 | no_license | [
{
"docstring": ":type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]",
"name": "findOrder",
"signature": "def findOrder(self, numCourses, prerequisites)"
},
{
"docstring": "注意：这个递归方法的返回值是返回是否有环 :param vertex: 结点的索引 :param inverse_adj: 逆邻接表，记录的是当前结点的前驱结点的集合 :param visited:... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findOrder(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]
- def __dfs(self, vertex, inverse_adj, visited, res):... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findOrder(self, numCourses, prerequisites): :type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]
- def __dfs(self, vertex, inverse_adj, visited, res):... | b0f498ebe84e46b7e17e94759dd462891dcc8f85 | <|skeleton|>
class Solution:
def findOrder(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]"""
<|body_0|>
def __dfs(self, vertex, inverse_adj, visited, res):
"""注意：这个递归方法的返回值是返回是否有环 :param vertex: 结点的索引 :param inverse_adj... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findOrder(self, numCourses, prerequisites):
""":type numCourses: int :type prerequisites: List[List[int]] :rtype: List[int]"""
clen = len(prerequisites)
if clen == 0:
return [i for i in range(numCourses)]
inverse_adj = [set() for _ in range(numCourses)... | the_stack_v2_python_sparse | 算法面试题汇总/graph-theory_4.py | wulinlw/leetcode_cn | train | 0 | |
64a05d95283cff7199d76904fb0385ab5412cd25 | [
"most = 0\nfor idx, h in enumerate(height):\n for ridx, rh in enumerate(height[idx:]):\n most = max(ridx * min(h, rh), most)\nreturn most",
"if not height[1:]:\n return 0\nleft = 0\nright = len(height) - 1\nmost = 0\nwhile left < right:\n most = max(most, min(height[left], height[right]) * (right ... | <|body_start_0|>
most = 0
for idx, h in enumerate(height):
for ridx, rh in enumerate(height[idx:]):
most = max(ridx * min(h, rh), most)
return most
<|end_body_0|>
<|body_start_1|>
if not height[1:]:
return 0
left = 0
right = len(he... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea2(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
most = 0
for idx, h in enumerate(hei... | stack_v2_sparse_classes_75kplus_train_068115 | 2,247 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea2",
"signature": "def maxArea2(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_train_049454 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea2(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea2(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxArea2(s... | d2e8b2dca40fc955045eb62e576c776bad8ee5f1 | <|skeleton|>
class Solution:
def maxArea2(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxArea2(self, height):
""":type height: List[int] :rtype: int"""
most = 0
for idx, h in enumerate(height):
for ridx, rh in enumerate(height[idx:]):
most = max(ridx * min(h, rh), most)
return most
def maxArea(self, height):
... | the_stack_v2_python_sparse | container-with-most-water/solution.py | childe/leetcode | train | 2 | |
f73e4bcf78273940cbba1f31c19d6d28be77824b | [
"for fld in ['LmChallengeResponseFields', 'NtChallengeResponseFields', 'DomainNameFields', 'UserNameFields', 'WorkstationFields', 'EncryptedRandomSessionKeyFields']:\n yield (fld, self[fld])\nreturn",
"for _, item in self.enumerate():\n yield item\nreturn",
"for item in self.iterate():\n yield item\nre... | <|body_start_0|>
for fld in ['LmChallengeResponseFields', 'NtChallengeResponseFields', 'DomainNameFields', 'UserNameFields', 'WorkstationFields', 'EncryptedRandomSessionKeyFields']:
yield (fld, self[fld])
return
<|end_body_0|>
<|body_start_1|>
for _, item in self.enumerate():
... | AUTHENTICATE_MESSAGE | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AUTHENTICATE_MESSAGE:
def enumerate(self):
"""Yield the name and field that compose the message type payload."""
<|body_0|>
def iterate(self):
"""Yield each field that composes the message type payload."""
<|body_1|>
def Fields(self):
"""Yield al... | stack_v2_sparse_classes_75kplus_train_068116 | 31,838 | permissive | [
{
"docstring": "Yield the name and field that compose the message type payload.",
"name": "enumerate",
"signature": "def enumerate(self)"
},
{
"docstring": "Yield each field that composes the message type payload.",
"name": "iterate",
"signature": "def iterate(self)"
},
{
"docstr... | 3 | stack_v2_sparse_classes_30k_train_044279 | Implement the Python class `AUTHENTICATE_MESSAGE` described below.
Class description:
Implement the AUTHENTICATE_MESSAGE class.
Method signatures and docstrings:
- def enumerate(self): Yield the name and field that compose the message type payload.
- def iterate(self): Yield each field that composes the message type ... | Implement the Python class `AUTHENTICATE_MESSAGE` described below.
Class description:
Implement the AUTHENTICATE_MESSAGE class.
Method signatures and docstrings:
- def enumerate(self): Yield the name and field that compose the message type payload.
- def iterate(self): Yield each field that composes the message type ... | e02b014dc764ed822288210248c9438a843af8a9 | <|skeleton|>
class AUTHENTICATE_MESSAGE:
def enumerate(self):
"""Yield the name and field that compose the message type payload."""
<|body_0|>
def iterate(self):
"""Yield each field that composes the message type payload."""
<|body_1|>
def Fields(self):
"""Yield al... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AUTHENTICATE_MESSAGE:
def enumerate(self):
"""Yield the name and field that compose the message type payload."""
for fld in ['LmChallengeResponseFields', 'NtChallengeResponseFields', 'DomainNameFields', 'UserNameFields', 'WorkstationFields', 'EncryptedRandomSessionKeyFields']:
yiel... | the_stack_v2_python_sparse | template/protocol/nlmp.py | arizvisa/syringe | train | 36 | |
1832a3f147a28eae5e1ef741710d3ce4527cb0ed | [
"st = RouteFactory()\nurl = reverse('routes:v1_detail_route', kwargs={'pk': st.id})\nresponse = self.client.get(url)\nself.assertEquals(response.status_code, 200)\nself.assertEquals(response.data['id'], st.id)",
"st = RouteFactory()\nurl = reverse('routes:v1_detail_route', kwargs={'pk': st.id})\nresponse = self.c... | <|body_start_0|>
st = RouteFactory()
url = reverse('routes:v1_detail_route', kwargs={'pk': st.id})
response = self.client.get(url)
self.assertEquals(response.status_code, 200)
self.assertEquals(response.data['id'], st.id)
<|end_body_0|>
<|body_start_1|>
st = RouteFactory... | Test class for the detail methods for Route Model: Retrieve, update, destroy | RouteDetailTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RouteDetailTest:
"""Test class for the detail methods for Route Model: Retrieve, update, destroy"""
def test_retrieve_successfully(self):
"""Retrieve test for Route Model API"""
<|body_0|>
def test_update_successfully(self):
"""Update unit test for Route Model AP... | stack_v2_sparse_classes_75kplus_train_068117 | 5,022 | no_license | [
{
"docstring": "Retrieve test for Route Model API",
"name": "test_retrieve_successfully",
"signature": "def test_retrieve_successfully(self)"
},
{
"docstring": "Update unit test for Route Model API",
"name": "test_update_successfully",
"signature": "def test_update_successfully(self)"
... | 3 | stack_v2_sparse_classes_30k_test_001487 | Implement the Python class `RouteDetailTest` described below.
Class description:
Test class for the detail methods for Route Model: Retrieve, update, destroy
Method signatures and docstrings:
- def test_retrieve_successfully(self): Retrieve test for Route Model API
- def test_update_successfully(self): Update unit te... | Implement the Python class `RouteDetailTest` described below.
Class description:
Test class for the detail methods for Route Model: Retrieve, update, destroy
Method signatures and docstrings:
- def test_retrieve_successfully(self): Retrieve test for Route Model API
- def test_update_successfully(self): Update unit te... | 8106a843c486cc89c648d50e5e377635527f4b72 | <|skeleton|>
class RouteDetailTest:
"""Test class for the detail methods for Route Model: Retrieve, update, destroy"""
def test_retrieve_successfully(self):
"""Retrieve test for Route Model API"""
<|body_0|>
def test_update_successfully(self):
"""Update unit test for Route Model AP... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RouteDetailTest:
"""Test class for the detail methods for Route Model: Retrieve, update, destroy"""
def test_retrieve_successfully(self):
"""Retrieve test for Route Model API"""
st = RouteFactory()
url = reverse('routes:v1_detail_route', kwargs={'pk': st.id})
response = se... | the_stack_v2_python_sparse | apps/lines/tests.py | vpes/django_tech_test | train | 0 |
5651499124c41a07112ab3ae02d71076204266eb | [
"arr = list(s)\nself.reverse_string(arr, 0, len(arr) - 1)\nself.reverse_word(arr)\nword = self.trim_sides(arr)\nres = self.trim_space(word)\nreturn ''.join(res)",
"while l < r:\n arr[l], arr[r] = (arr[r], arr[l])\n l += 1\n r -= 1\nreturn arr",
"l, r = (0, 0)\nwhile r < len(arr):\n while r < len(arr... | <|body_start_0|>
arr = list(s)
self.reverse_string(arr, 0, len(arr) - 1)
self.reverse_word(arr)
word = self.trim_sides(arr)
res = self.trim_space(word)
return ''.join(res)
<|end_body_0|>
<|body_start_1|>
while l < r:
arr[l], arr[r] = (arr[r], arr[l])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseWords(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def reverse_string(self, arr, l, r):
"""reverse a given string"""
<|body_1|>
def reverse_word(self, arr):
"""reverse every words in a string"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus_train_068118 | 2,029 | no_license | [
{
"docstring": ":type s: str :rtype: str",
"name": "reverseWords",
"signature": "def reverseWords(self, s)"
},
{
"docstring": "reverse a given string",
"name": "reverse_string",
"signature": "def reverse_string(self, arr, l, r)"
},
{
"docstring": "reverse every words in a string"... | 5 | stack_v2_sparse_classes_30k_train_040593 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseWords(self, s): :type s: str :rtype: str
- def reverse_string(self, arr, l, r): reverse a given string
- def reverse_word(self, arr): reverse every words in a string
-... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseWords(self, s): :type s: str :rtype: str
- def reverse_string(self, arr, l, r): reverse a given string
- def reverse_word(self, arr): reverse every words in a string
-... | db2cd34ee759721858a96d123e3cab4084e69129 | <|skeleton|>
class Solution:
def reverseWords(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def reverse_string(self, arr, l, r):
"""reverse a given string"""
<|body_1|>
def reverse_word(self, arr):
"""reverse every words in a string"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverseWords(self, s):
""":type s: str :rtype: str"""
arr = list(s)
self.reverse_string(arr, 0, len(arr) - 1)
self.reverse_word(arr)
word = self.trim_sides(arr)
res = self.trim_space(word)
return ''.join(res)
def reverse_string(self, a... | the_stack_v2_python_sparse | Algorithm-Medium/151_Reverse_Words_in_a_String.py | yz5308/Python_Leetcode | train | 0 | |
6f74a0bd93e70d9867777fc630b9e97ee6d7c7e0 | [
"if p == root or q == root:\n return root\nself.path_p = []\nself.path_q = []\n\ndef help(root, p, q, path):\n if root:\n if root == p:\n self.path_p = path + [root]\n if root == q:\n self.path_q = path + [root]\n if self.path_p and self.path_q:\n return\n... | <|body_start_0|>
if p == root or q == root:
return root
self.path_p = []
self.path_q = []
def help(root, p, q, path):
if root:
if root == p:
self.path_p = path + [root]
if root == q:
self.pat... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lowestCommonAncestor1(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"""
<|body_0|>
def lowestCommonAncestor(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"... | stack_v2_sparse_classes_75kplus_train_068119 | 1,507 | no_license | [
{
"docstring": ":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode",
"name": "lowestCommonAncestor1",
"signature": "def lowestCommonAncestor1(self, root, p, q)"
},
{
"docstring": ":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode",
"name": "lowe... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lowestCommonAncestor1(self, root, p, q): :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode
- def lowestCommonAncestor(self, root, p, q): :type root: T... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lowestCommonAncestor1(self, root, p, q): :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode
- def lowestCommonAncestor(self, root, p, q): :type root: T... | e5b018493bbd12edcdcd0434f35d9c358106d391 | <|skeleton|>
class Solution:
def lowestCommonAncestor1(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"""
<|body_0|>
def lowestCommonAncestor(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lowestCommonAncestor1(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"""
if p == root or q == root:
return root
self.path_p = []
self.path_q = []
def help(root, p, q, path):
if root:
... | the_stack_v2_python_sparse | py/leetcode/236.py | wfeng1991/learnpy | train | 0 | |
8fa945357748d40d4b0f6fd00339ef2fa7ffec11 | [
"queryset = Batch.objects.filter(id=pk)\nbatch = get_object_or_404(queryset)\ncsv_text = request.data.get('csv_text', None)\nif not csv_text:\n raise serializers.ValidationError({'csv_text': 'This field is required.'})\nBatchSerializer.validate_csv_fields(csv_text, batch.project)\ncsv_fh = io.StringIO(csv_text)\... | <|body_start_0|>
queryset = Batch.objects.filter(id=pk)
batch = get_object_or_404(queryset)
csv_text = request.data.get('csv_text', None)
if not csv_text:
raise serializers.ValidationError({'csv_text': 'This field is required.'})
BatchSerializer.validate_csv_fields(cs... | list: Return a list of the existing batches. retrieve: Retrieve a batch as identified by id. create: Create a new batch and return it. partial_update: Update the name, active status or allotted assignment time for a batch. | BatchViewSet | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatchViewSet:
"""list: Return a list of the existing batches. retrieve: Retrieve a batch as identified by id. create: Create a new batch and return it. partial_update: Update the name, active status or allotted assignment time for a batch."""
def add_tasks(self, request, pk):
"""Add ... | stack_v2_sparse_classes_75kplus_train_068120 | 11,044 | permissive | [
{
"docstring": "Add new tasks to an existing batch.",
"name": "add_tasks",
"signature": "def add_tasks(self, request, pk)"
},
{
"docstring": "Download the current answers for this batch as a csv file.",
"name": "download_results",
"signature": "def download_results(self, request, pk)"
... | 4 | null | Implement the Python class `BatchViewSet` described below.
Class description:
list: Return a list of the existing batches. retrieve: Retrieve a batch as identified by id. create: Create a new batch and return it. partial_update: Update the name, active status or allotted assignment time for a batch.
Method signatures... | Implement the Python class `BatchViewSet` described below.
Class description:
list: Return a list of the existing batches. retrieve: Retrieve a batch as identified by id. create: Create a new batch and return it. partial_update: Update the name, active status or allotted assignment time for a batch.
Method signatures... | 935f63c94ec4d1e2fa507c8e187fa86e96fad82b | <|skeleton|>
class BatchViewSet:
"""list: Return a list of the existing batches. retrieve: Retrieve a batch as identified by id. create: Create a new batch and return it. partial_update: Update the name, active status or allotted assignment time for a batch."""
def add_tasks(self, request, pk):
"""Add ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BatchViewSet:
"""list: Return a list of the existing batches. retrieve: Retrieve a batch as identified by id. create: Create a new batch and return it. partial_update: Update the name, active status or allotted assignment time for a batch."""
def add_tasks(self, request, pk):
"""Add new tasks to ... | the_stack_v2_python_sparse | turkle/api/views.py | hltcoe/turkle | train | 142 |
46298e9755334032644770315bcfa6f96dbf4b5d | [
"self.app_name = app_name\nself.conf_type = conf_type\nself.log_level = log_level\nself.logger = logging.getLogger(self.app_name)\nself.logger.setLevel(logging.INFO)\nself.postgres = pg\nself.path_to_log = os.path.join(os.getcwd(), 'logs')\nself.log_file_name = None\nself.fh = None\nif not os.path.exists(self.path_... | <|body_start_0|>
self.app_name = app_name
self.conf_type = conf_type
self.log_level = log_level
self.logger = logging.getLogger(self.app_name)
self.logger.setLevel(logging.INFO)
self.postgres = pg
self.path_to_log = os.path.join(os.getcwd(), 'logs')
self.l... | Logger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logger:
def __init__(self, app_name, conf_type, log_level, pg):
"""Создает логгер. :param app_name: (str) Имя приложения :param conf_type: (str) Тип конфигураций (prod | dev) :param log_level: (str) Уровень логирования :param pg: Инстанс подключения к PostgreSql"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_068121 | 3,700 | permissive | [
{
"docstring": "Создает логгер. :param app_name: (str) Имя приложения :param conf_type: (str) Тип конфигураций (prod | dev) :param log_level: (str) Уровень логирования :param pg: Инстанс подключения к PostgreSql",
"name": "__init__",
"signature": "def __init__(self, app_name, conf_type, log_level, pg)"
... | 4 | null | Implement the Python class `Logger` described below.
Class description:
Implement the Logger class.
Method signatures and docstrings:
- def __init__(self, app_name, conf_type, log_level, pg): Создает логгер. :param app_name: (str) Имя приложения :param conf_type: (str) Тип конфигураций (prod | dev) :param log_level: ... | Implement the Python class `Logger` described below.
Class description:
Implement the Logger class.
Method signatures and docstrings:
- def __init__(self, app_name, conf_type, log_level, pg): Создает логгер. :param app_name: (str) Имя приложения :param conf_type: (str) Тип конфигураций (prod | dev) :param log_level: ... | 47e5c67a2ccceb2f6a61531de31707d81af66a54 | <|skeleton|>
class Logger:
def __init__(self, app_name, conf_type, log_level, pg):
"""Создает логгер. :param app_name: (str) Имя приложения :param conf_type: (str) Тип конфигураций (prod | dev) :param log_level: (str) Уровень логирования :param pg: Инстанс подключения к PostgreSql"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Logger:
def __init__(self, app_name, conf_type, log_level, pg):
"""Создает логгер. :param app_name: (str) Имя приложения :param conf_type: (str) Тип конфигураций (prod | dev) :param log_level: (str) Уровень логирования :param pg: Инстанс подключения к PostgreSql"""
self.app_name = app_name
... | the_stack_v2_python_sparse | Nika/logger.py | bekkazy-k/Nika | train | 3 | |
97903c44ec739602a4472cc4c6f6219a00073e89 | [
"self.vcpus_total = compute['vcpus']\nself.vcpus_used = compute['vcpus_used']\nself.free_ram_mb = compute['free_ram_mb']\nself.total_usable_ram_mb = compute['memory_mb']\nself.free_disk_mb = compute['free_disk_gb'] * 1024\nstats = compute.get('stats', '{}')\nself.stats = jsonutils.loads(stats)",
"self.free_ram_mb... | <|body_start_0|>
self.vcpus_total = compute['vcpus']
self.vcpus_used = compute['vcpus_used']
self.free_ram_mb = compute['free_ram_mb']
self.total_usable_ram_mb = compute['memory_mb']
self.free_disk_mb = compute['free_disk_gb'] * 1024
stats = compute.get('stats', '{}')
... | Mutable and immutable information tracked for a host. This is an attempt to remove the ad-hoc data structures previously used and lock down access. | BaseBaremetalNodeState | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseBaremetalNodeState:
"""Mutable and immutable information tracked for a host. This is an attempt to remove the ad-hoc data structures previously used and lock down access."""
def update_from_compute_node(self, compute):
"""Update information about a host from its compute_node info... | stack_v2_sparse_classes_75kplus_train_068122 | 2,102 | permissive | [
{
"docstring": "Update information about a host from its compute_node info.",
"name": "update_from_compute_node",
"signature": "def update_from_compute_node(self, compute)"
},
{
"docstring": "Consume nodes entire resources regardless of instance request.",
"name": "consume_from_instance",
... | 2 | null | Implement the Python class `BaseBaremetalNodeState` described below.
Class description:
Mutable and immutable information tracked for a host. This is an attempt to remove the ad-hoc data structures previously used and lock down access.
Method signatures and docstrings:
- def update_from_compute_node(self, compute): U... | Implement the Python class `BaseBaremetalNodeState` described below.
Class description:
Mutable and immutable information tracked for a host. This is an attempt to remove the ad-hoc data structures previously used and lock down access.
Method signatures and docstrings:
- def update_from_compute_node(self, compute): U... | 3154f2cb0eb0d8c447c6d18ee0bab5e7dbeba60b | <|skeleton|>
class BaseBaremetalNodeState:
"""Mutable and immutable information tracked for a host. This is an attempt to remove the ad-hoc data structures previously used and lock down access."""
def update_from_compute_node(self, compute):
"""Update information about a host from its compute_node info... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseBaremetalNodeState:
"""Mutable and immutable information tracked for a host. This is an attempt to remove the ad-hoc data structures previously used and lock down access."""
def update_from_compute_node(self, compute):
"""Update information about a host from its compute_node info."""
... | the_stack_v2_python_sparse | nova/scheduler/base_baremetal_host_manager.py | virtualopensystems/nova | train | 0 |
eb203bc93476b7b993df8e1b31c573a6242be77d | [
"sum_1 = 0\nstack = []\nfor i, h in enumerate(height):\n if not stack and h == 0:\n continue\n elif not stack or stack[-1][-1] > h:\n stack.append([i, h])\n else:\n lists = []\n while stack and stack[-1][-1] <= h:\n lists.append(stack.pop())\n if not stack:\n ... | <|body_start_0|>
sum_1 = 0
stack = []
for i, h in enumerate(height):
if not stack and h == 0:
continue
elif not stack or stack[-1][-1] > h:
stack.append([i, h])
else:
lists = []
while stack and st... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def trap(self, height):
""":type height: List[int] :rtype: int 68ms"""
<|body_0|>
def trap_1(self, height):
""":type height: List[int] :rtype: int 59ms"""
<|body_1|>
def trap_2(self, height):
""":type height: List[int] :rtype: int 49ms"... | stack_v2_sparse_classes_75kplus_train_068123 | 2,988 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int 68ms",
"name": "trap",
"signature": "def trap(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int 59ms",
"name": "trap_1",
"signature": "def trap_1(self, height)"
},
{
"docstring": ":type height: List[int] :rty... | 3 | stack_v2_sparse_classes_30k_train_045698 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap(self, height): :type height: List[int] :rtype: int 68ms
- def trap_1(self, height): :type height: List[int] :rtype: int 59ms
- def trap_2(self, height): :type height: Li... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap(self, height): :type height: List[int] :rtype: int 68ms
- def trap_1(self, height): :type height: List[int] :rtype: int 59ms
- def trap_2(self, height): :type height: Li... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def trap(self, height):
""":type height: List[int] :rtype: int 68ms"""
<|body_0|>
def trap_1(self, height):
""":type height: List[int] :rtype: int 59ms"""
<|body_1|>
def trap_2(self, height):
""":type height: List[int] :rtype: int 49ms"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def trap(self, height):
""":type height: List[int] :rtype: int 68ms"""
sum_1 = 0
stack = []
for i, h in enumerate(height):
if not stack and h == 0:
continue
elif not stack or stack[-1][-1] > h:
stack.append([i, h... | the_stack_v2_python_sparse | TrappingRainWater_HARD_42.py | 953250587/leetcode-python | train | 2 | |
8d13bded0f33fd159d75be1b736785dce5691637 | [
"hash_key = self.request.query_params.get('session')\nif hash_key is not None and hash_key:\n try:\n event = EventSession.objects.get(hash_key=hash_key)\n return Exam.objects.by_user_perms(self.request.user).filter(event=event).prefetch_related('comment_set').prefetch_related('usersession_set')\n ... | <|body_start_0|>
hash_key = self.request.query_params.get('session')
if hash_key is not None and hash_key:
try:
event = EventSession.objects.get(hash_key=hash_key)
return Exam.objects.by_user_perms(self.request.user).filter(event=event).prefetch_related('comme... | This viewset register edx's exam on proctoring service and return generated code Required parameters: `examCode`, `organization`, `duration`, `reviewedExam`, `reviewerNotes`, `examPassword`, `examSponsor`, `examName`, `ssiProduct`, `orgExtra` orgExtra contain json like this: { "examStartDate": "2015-10-10 11:00", "exam... | ExamViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExamViewSet:
"""This viewset register edx's exam on proctoring service and return generated code Required parameters: `examCode`, `organization`, `duration`, `reviewedExam`, `reviewerNotes`, `examPassword`, `examSponsor`, `examName`, `ssiProduct`, `orgExtra` orgExtra contain json like this: { "ex... | stack_v2_sparse_classes_75kplus_train_068124 | 6,448 | no_license | [
{
"docstring": "This view should return a list of all the purchases for the user as determined by the username portion of the URL.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "Create new exam, on exam attempt. Find Event Session for this exam.",
"name": ... | 2 | stack_v2_sparse_classes_30k_train_016033 | Implement the Python class `ExamViewSet` described below.
Class description:
This viewset register edx's exam on proctoring service and return generated code Required parameters: `examCode`, `organization`, `duration`, `reviewedExam`, `reviewerNotes`, `examPassword`, `examSponsor`, `examName`, `ssiProduct`, `orgExtra`... | Implement the Python class `ExamViewSet` described below.
Class description:
This viewset register edx's exam on proctoring service and return generated code Required parameters: `examCode`, `organization`, `duration`, `reviewedExam`, `reviewerNotes`, `examPassword`, `examSponsor`, `examName`, `ssiProduct`, `orgExtra`... | b4f4564e70d6f78cadc999d10a78ad3e7f288671 | <|skeleton|>
class ExamViewSet:
"""This viewset register edx's exam on proctoring service and return generated code Required parameters: `examCode`, `organization`, `duration`, `reviewedExam`, `reviewerNotes`, `examPassword`, `examSponsor`, `examName`, `ssiProduct`, `orgExtra` orgExtra contain json like this: { "ex... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExamViewSet:
"""This viewset register edx's exam on proctoring service and return generated code Required parameters: `examCode`, `organization`, `duration`, `reviewedExam`, `reviewerNotes`, `examPassword`, `examSponsor`, `examName`, `ssiProduct`, `orgExtra` orgExtra contain json like this: { "examStartDate":... | the_stack_v2_python_sparse | proctoring/api_edx_views.py | miptliot/edx_proctor_webassistant | train | 0 |
f42487cd68137f31655bb1896769dd2e504c68b7 | [
"super().__init__(name)\nself._image = image\nself._command = command\nself._volumes = volumes\nself._devices = devices\nself._environment = environment\nself._network = network\nself._shm_size = shm_size\nself._triton_exec = None\nself._logging_thread = None\nself._log_file_path = pathlib.Path(log_file)",
"devic... | <|body_start_0|>
super().__init__(name)
self._image = image
self._command = command
self._volumes = volumes
self._devices = devices
self._environment = environment
self._network = network
self._shm_size = shm_size
self._triton_exec = None
s... | TritonServerContainer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TritonServerContainer:
def __init__(self, name: str, command: str, image: str, volumes: Dict, devices: Union[list, int], environment: Dict, log_file: Union[pathlib.Path, str], network: str='host', shm_size: str='1G'):
"""Initialize Triton Server Container Args: name: Container name comma... | stack_v2_sparse_classes_75kplus_train_068125 | 5,403 | permissive | [
{
"docstring": "Initialize Triton Server Container Args: name: Container name command: Triton Server command to exec on container start image: Docker Image volumes: Volumes to mount inside container devices: Devices which has to be visible in container environment: Environment variables log_file: Path where log... | 5 | stack_v2_sparse_classes_30k_train_000273 | Implement the Python class `TritonServerContainer` described below.
Class description:
Implement the TritonServerContainer class.
Method signatures and docstrings:
- def __init__(self, name: str, command: str, image: str, volumes: Dict, devices: Union[list, int], environment: Dict, log_file: Union[pathlib.Path, str],... | Implement the Python class `TritonServerContainer` described below.
Class description:
Implement the TritonServerContainer class.
Method signatures and docstrings:
- def __init__(self, name: str, command: str, image: str, volumes: Dict, devices: Union[list, int], environment: Dict, log_file: Union[pathlib.Path, str],... | a5388a45f71a949639b35cc5b990bd130d2d8164 | <|skeleton|>
class TritonServerContainer:
def __init__(self, name: str, command: str, image: str, volumes: Dict, devices: Union[list, int], environment: Dict, log_file: Union[pathlib.Path, str], network: str='host', shm_size: str='1G'):
"""Initialize Triton Server Container Args: name: Container name comma... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TritonServerContainer:
def __init__(self, name: str, command: str, image: str, volumes: Dict, devices: Union[list, int], environment: Dict, log_file: Union[pathlib.Path, str], network: str='host', shm_size: str='1G'):
"""Initialize Triton Server Container Args: name: Container name command: Triton Ser... | the_stack_v2_python_sparse | PyTorch/LanguageModeling/BERT/triton/runner/maintainer/docker/containers/triton_server_container.py | NVIDIA/DeepLearningExamples | train | 11,838 | |
7295b7c3276c7a73717a23d73f71da6ee1d5b517 | [
"vals = []\n\ndef pre_order(node):\n if node:\n vals.append(str(node.val))\n pre_order(node.left)\n pre_order(node.right)\n else:\n vals.append('null')\npre_order(root)\nreturn ' '.join(vals)",
"vals = collections.deque(data.split())\n\ndef build_tree():\n val = vals.popleft()... | <|body_start_0|>
vals = []
def pre_order(node):
if node:
vals.append(str(node.val))
pre_order(node.left)
pre_order(node.right)
else:
vals.append('null')
pre_order(root)
return ' '.join(vals)
<|end_bo... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_068126 | 1,426 | 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:... | 07b8c34b12d05413466119a82247d7ee5cc34318 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
vals = []
def pre_order(node):
if node:
vals.append(str(node.val))
pre_order(node.left)
pre_order(node.right)
... | the_stack_v2_python_sparse | 297. Serialize and Deserialize Binary Tree.py | bryantbyr/LeetCode-solutions | train | 1 | |
6e49315508c1471995113a8770c6fc2b41301418 | [
"if self.request.user.is_authenticated:\n user_profile = Profile.objects.get(user_id=request.user.id)\n profile_goods_cart_ids = list(Cart.objects.filter(profile=user_profile).order_by('-add_time').values_list('id', flat=True))\n profile_goods_cart = Cart.objects.select_related('goods').filter(profile=user... | <|body_start_0|>
if self.request.user.is_authenticated:
user_profile = Profile.objects.get(user_id=request.user.id)
profile_goods_cart_ids = list(Cart.objects.filter(profile=user_profile).order_by('-add_time').values_list('id', flat=True))
profile_goods_cart = Cart.objects.se... | Представление для покупки товаров путем отправки POST запроса JSON файла — goods_buy: [{goods_1},{goods_2}] | BuyGoods | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuyGoods:
"""Представление для покупки товаров путем отправки POST запроса JSON файла — goods_buy: [{goods_1},{goods_2}]"""
def post(self, request):
""":param request: JSON goods_buy: [{goods_1},{goods_2}] Принимает JSON объект c товарами которые хочет купить пользователь"""
... | stack_v2_sparse_classes_75kplus_train_068127 | 8,672 | no_license | [
{
"docstring": ":param request: JSON goods_buy: [{goods_1},{goods_2}] Принимает JSON объект c товарами которые хочет купить пользователь",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "Применение изменений в моделях при покупки товара пользователем",
"name": "buy_... | 3 | stack_v2_sparse_classes_30k_train_023996 | Implement the Python class `BuyGoods` described below.
Class description:
Представление для покупки товаров путем отправки POST запроса JSON файла — goods_buy: [{goods_1},{goods_2}]
Method signatures and docstrings:
- def post(self, request): :param request: JSON goods_buy: [{goods_1},{goods_2}] Принимает JSON объект... | Implement the Python class `BuyGoods` described below.
Class description:
Представление для покупки товаров путем отправки POST запроса JSON файла — goods_buy: [{goods_1},{goods_2}]
Method signatures and docstrings:
- def post(self, request): :param request: JSON goods_buy: [{goods_1},{goods_2}] Принимает JSON объект... | 93fd0a54bde47e58314c1f13f54bb358f29524df | <|skeleton|>
class BuyGoods:
"""Представление для покупки товаров путем отправки POST запроса JSON файла — goods_buy: [{goods_1},{goods_2}]"""
def post(self, request):
""":param request: JSON goods_buy: [{goods_1},{goods_2}] Принимает JSON объект c товарами которые хочет купить пользователь"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BuyGoods:
"""Представление для покупки товаров путем отправки POST запроса JSON файла — goods_buy: [{goods_1},{goods_2}]"""
def post(self, request):
""":param request: JSON goods_buy: [{goods_1},{goods_2}] Принимает JSON объект c товарами которые хочет купить пользователь"""
if self.reque... | the_stack_v2_python_sparse | app_users/api/views.py | slimsevernake/Django-OnlineStore | train | 0 |
92d933cda99076df618d0d3228e83d0cd21d9ebf | [
"super().__init__(**kwargs)\nself.garage = garage\nself.fenced = fenced\nself.num_stories = num_stories",
"super().display()\nprint('HOUSE DETAILS')\nprint('# of stories: {}'.format(self.num_stories))\nprint('garage: {}'.format(self.garage))\nprint('fenced yard: {}'.format(self.fenced))",
"parent_init = Propert... | <|body_start_0|>
super().__init__(**kwargs)
self.garage = garage
self.fenced = fenced
self.num_stories = num_stories
<|end_body_0|>
<|body_start_1|>
super().display()
print('HOUSE DETAILS')
print('# of stories: {}'.format(self.num_stories))
print('garage:... | extends Property info about House | House | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class House:
"""extends Property info about House"""
def __init__(self, num_stories='', garage='', fenced='', **kwargs):
"""contains info about garage and fenced :param num_stories: str (int) :param garage: str :param fenced: str :param kwargs: additional info"""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus_train_068128 | 12,832 | no_license | [
{
"docstring": "contains info about garage and fenced :param num_stories: str (int) :param garage: str :param fenced: str :param kwargs: additional info",
"name": "__init__",
"signature": "def __init__(self, num_stories='', garage='', fenced='', **kwargs)"
},
{
"docstring": "output all info :ret... | 3 | stack_v2_sparse_classes_30k_train_028256 | Implement the Python class `House` described below.
Class description:
extends Property info about House
Method signatures and docstrings:
- def __init__(self, num_stories='', garage='', fenced='', **kwargs): contains info about garage and fenced :param num_stories: str (int) :param garage: str :param fenced: str :pa... | Implement the Python class `House` described below.
Class description:
extends Property info about House
Method signatures and docstrings:
- def __init__(self, num_stories='', garage='', fenced='', **kwargs): contains info about garage and fenced :param num_stories: str (int) :param garage: str :param fenced: str :pa... | 6c739a5d5445e9ff67fa468d9d9c86cd0be92ca5 | <|skeleton|>
class House:
"""extends Property info about House"""
def __init__(self, num_stories='', garage='', fenced='', **kwargs):
"""contains info about garage and fenced :param num_stories: str (int) :param garage: str :param fenced: str :param kwargs: additional info"""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class House:
"""extends Property info about House"""
def __init__(self, num_stories='', garage='', fenced='', **kwargs):
"""contains info about garage and fenced :param num_stories: str (int) :param garage: str :param fenced: str :param kwargs: additional info"""
super().__init__(**kwargs)
... | the_stack_v2_python_sparse | lab_3_Zabulskyy.py | zabulskyy/ucu_projects | train | 0 |
c66b5590ffee9b4125dfead0c11c3139b7de827c | [
"if final_values is None:\n final_values = {}\nself.final_values = final_values\nself.fade_factor = 0.5 ** (1 / semi_gen)\nself.verbose = verbose",
"if self.verbose:\n print()\n print('--Exp Scheduler Values--')\nfor key in self.final_values:\n prev_value = getattr(conf.genome_config, key)\n if sel... | <|body_start_0|>
if final_values is None:
final_values = {}
self.final_values = final_values
self.fade_factor = 0.5 ** (1 / semi_gen)
self.verbose = verbose
<|end_body_0|>
<|body_start_1|>
if self.verbose:
print()
print('--Exp Scheduler Values... | Scheduler that allows parameter decay. The initial values are those put in the config file. The asymptotic values are those given in dictionnary 'final_values'. Only the parameters described in 'final_values' will be affectd by the sheduler. The decay factor is describe by 'semi_gen', the number of generations necessar... | ExponentialScheduler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExponentialScheduler:
"""Scheduler that allows parameter decay. The initial values are those put in the config file. The asymptotic values are those given in dictionnary 'final_values'. Only the parameters described in 'final_values' will be affectd by the sheduler. The decay factor is describe b... | stack_v2_sparse_classes_75kplus_train_068129 | 20,844 | permissive | [
{
"docstring": "semi_gen: number of generations required to be half way to th final value final_values: dictionnary of format {'parameter_name' (string): final value (float)} e.g. final_values = {\"node_add_prob\": 0.05, \"conn_add_prob\": 0.02} verbose: if 1, print the current values of the parameters",
"n... | 2 | stack_v2_sparse_classes_30k_train_037156 | Implement the Python class `ExponentialScheduler` described below.
Class description:
Scheduler that allows parameter decay. The initial values are those put in the config file. The asymptotic values are those given in dictionnary 'final_values'. Only the parameters described in 'final_values' will be affectd by the s... | Implement the Python class `ExponentialScheduler` described below.
Class description:
Scheduler that allows parameter decay. The initial values are those put in the config file. The asymptotic values are those given in dictionnary 'final_values'. Only the parameters described in 'final_values' will be affectd by the s... | 6a8e167c59db343e4efa93e8d50a8807e64f607c | <|skeleton|>
class ExponentialScheduler:
"""Scheduler that allows parameter decay. The initial values are those put in the config file. The asymptotic values are those given in dictionnary 'final_values'. Only the parameters described in 'final_values' will be affectd by the sheduler. The decay factor is describe b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExponentialScheduler:
"""Scheduler that allows parameter decay. The initial values are those put in the config file. The asymptotic values are those given in dictionnary 'final_values'. Only the parameters described in 'final_values' will be affectd by the sheduler. The decay factor is describe by 'semi_gen',... | the_stack_v2_python_sparse | neat_local/scheduler.py | Maxwell1447/Neuro-evolution-in-speaker-recognition | train | 2 |
9542499c30b6704dbfd78ff73e3da69bf61a9381 | [
"if not user_name:\n raise ValueError('Users must have an usrer name address')\nuser = self.model(user_name=user_name, first_name=first_name, middel_name=middel_name)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(user_name, first_name, middel_name, password=pas... | <|body_start_0|>
if not user_name:
raise ValueError('Users must have an usrer name address')
user = self.model(user_name=user_name, first_name=first_name, middel_name=middel_name)
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body... | MyUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, user_name, first_name, middel_name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, user_name, first_name, middel_name, password):
"""Creates a... | stack_v2_sparse_classes_75kplus_train_068130 | 8,877 | no_license | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, user_name, first_name, middel_name, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email, date of birth and pas... | 2 | stack_v2_sparse_classes_30k_train_039998 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, user_name, first_name, middel_name, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superu... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, user_name, first_name, middel_name, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superu... | 4f980f56661e6a2984302547e1964e36d0face99 | <|skeleton|>
class MyUserManager:
def create_user(self, user_name, first_name, middel_name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, user_name, first_name, middel_name, password):
"""Creates a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyUserManager:
def create_user(self, user_name, first_name, middel_name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
if not user_name:
raise ValueError('Users must have an usrer name address')
user = self.model(user_name=... | the_stack_v2_python_sparse | authentication/models.py | risuicpc/HACKATHON | train | 0 | |
e36da7febc25d1808c02ff25647a226da476fa02 | [
"result = local = -2147483647\nfor num in nums:\n local = local + num if local > 0 else num\n result = result if local < result else local\nreturn result",
"maximum = nums[0]\nsummation = 0\nfor end in range(len(nums)):\n summation += nums[end]\n maximum = max(maximum, summation)\n if summation < 0... | <|body_start_0|>
result = local = -2147483647
for num in nums:
local = local + num if local > 0 else num
result = result if local < result else local
return result
<|end_body_0|>
<|body_start_1|>
maximum = nums[0]
summation = 0
for end in range(le... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray(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|>
result = local = -2147483647
for num... | stack_v2_sparse_classes_75kplus_train_068131 | 688 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxSubArray",
"signature": "def maxSubArray(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxSubArray2",
"signature": "def maxSubArray2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006376 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(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 maxSubArray(self, nums): :type nums: List[int] :rtype: int
- def maxSubArray2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxSubArra... | c8bf33af30569177c5276ffcd72a8d93ba4c402a | <|skeleton|>
class Solution:
def maxSubArray(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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int"""
result = local = -2147483647
for num in nums:
local = local + num if local > 0 else num
result = result if local < result else local
return result
def maxSubArray2(self, ... | the_stack_v2_python_sparse | 1-100/51-60/53-maximumSubarray/maximumSubarray.py | xuychen/Leetcode | train | 0 | |
a52986be543427835a02850a35e69985f3b2ec27 | [
"try:\n import puremagic\n return True\nexcept ModuleNotFoundError as ex:\n pass\nreturn False",
"filename = file_check.check_file(filename)\nimport puremagic\ntry:\n rv = puremagic.magic_file(filename)\n if not rv:\n return None\n return clazz._find_mime_type(rv)\nexcept Exception as ex:... | <|body_start_0|>
try:
import puremagic
return True
except ModuleNotFoundError as ex:
pass
return False
<|end_body_0|>
<|body_start_1|>
filename = file_check.check_file(filename)
import puremagic
try:
rv = puremagic.magic_fi... | _file_mime_type_detector_puremagic | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _file_mime_type_detector_puremagic:
def is_supported(clazz):
"""Return True if this class is supported on the current platform."""
<|body_0|>
def detect_mime_type(clazz, filename):
"""Detect the mime type for file."""
<|body_1|>
def _find_mime_type(clazz... | stack_v2_sparse_classes_75kplus_train_068132 | 1,234 | permissive | [
{
"docstring": "Return True if this class is supported on the current platform.",
"name": "is_supported",
"signature": "def is_supported(clazz)"
},
{
"docstring": "Detect the mime type for file.",
"name": "detect_mime_type",
"signature": "def detect_mime_type(clazz, filename)"
},
{
... | 3 | stack_v2_sparse_classes_30k_val_000516 | Implement the Python class `_file_mime_type_detector_puremagic` described below.
Class description:
Implement the _file_mime_type_detector_puremagic class.
Method signatures and docstrings:
- def is_supported(clazz): Return True if this class is supported on the current platform.
- def detect_mime_type(clazz, filenam... | Implement the Python class `_file_mime_type_detector_puremagic` described below.
Class description:
Implement the _file_mime_type_detector_puremagic class.
Method signatures and docstrings:
- def is_supported(clazz): Return True if this class is supported on the current platform.
- def detect_mime_type(clazz, filenam... | b9dd35b518848cea82e43d5016e425cc7dac32e5 | <|skeleton|>
class _file_mime_type_detector_puremagic:
def is_supported(clazz):
"""Return True if this class is supported on the current platform."""
<|body_0|>
def detect_mime_type(clazz, filename):
"""Detect the mime type for file."""
<|body_1|>
def _find_mime_type(clazz... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _file_mime_type_detector_puremagic:
def is_supported(clazz):
"""Return True if this class is supported on the current platform."""
try:
import puremagic
return True
except ModuleNotFoundError as ex:
pass
return False
def detect_mime_type... | the_stack_v2_python_sparse | lib/bes/fs/_detail/_file_mime_type_detector_puremagic.py | reconstruir/bes | train | 0 | |
94a888a1499bb625e2f178d3fc6de808917f70b2 | [
"self.api = api\nself.data = None\nself.tasks = {}",
"try:\n self.data = await self.api.user.get()\nexcept ClientResponseError as error:\n if error.status == HTTPStatus.TOO_MANY_REQUESTS:\n _LOGGER.warning('Sensor data update for %s has too many API requests; Skipping the update', DOMAIN)\n else:\... | <|body_start_0|>
self.api = api
self.data = None
self.tasks = {}
<|end_body_0|>
<|body_start_1|>
try:
self.data = await self.api.user.get()
except ClientResponseError as error:
if error.status == HTTPStatus.TOO_MANY_REQUESTS:
_LOGGER.warni... | Habitica API user data cache. | HabitipyData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HabitipyData:
"""Habitica API user data cache."""
def __init__(self, api):
"""Habitica API user data cache."""
<|body_0|>
async def update(self):
"""Get a new fix from Habitica servers."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.api = ... | stack_v2_sparse_classes_75kplus_train_068133 | 8,016 | permissive | [
{
"docstring": "Habitica API user data cache.",
"name": "__init__",
"signature": "def __init__(self, api)"
},
{
"docstring": "Get a new fix from Habitica servers.",
"name": "update",
"signature": "async def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018630 | Implement the Python class `HabitipyData` described below.
Class description:
Habitica API user data cache.
Method signatures and docstrings:
- def __init__(self, api): Habitica API user data cache.
- async def update(self): Get a new fix from Habitica servers. | Implement the Python class `HabitipyData` described below.
Class description:
Habitica API user data cache.
Method signatures and docstrings:
- def __init__(self, api): Habitica API user data cache.
- async def update(self): Get a new fix from Habitica servers.
<|skeleton|>
class HabitipyData:
"""Habitica API us... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class HabitipyData:
"""Habitica API user data cache."""
def __init__(self, api):
"""Habitica API user data cache."""
<|body_0|>
async def update(self):
"""Get a new fix from Habitica servers."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HabitipyData:
"""Habitica API user data cache."""
def __init__(self, api):
"""Habitica API user data cache."""
self.api = api
self.data = None
self.tasks = {}
async def update(self):
"""Get a new fix from Habitica servers."""
try:
self.data... | the_stack_v2_python_sparse | homeassistant/components/habitica/sensor.py | home-assistant/core | train | 35,501 |
a28306e53c9456c5fa51fe4f80362c56f2b0c496 | [
"actions_path = utils.get_kolla_actions_path()\ncmd = '%s config_reset' % actions_path\nerr_msg, output = utils.run_cmd(cmd, print_output=False)\nif err_msg:\n raise FailedOperation(u._('Configuration reset failed. {error} {message}').format(error=err_msg, message=output))",
"check_arg(file_path, u._('File pat... | <|body_start_0|>
actions_path = utils.get_kolla_actions_path()
cmd = '%s config_reset' % actions_path
err_msg, output = utils.run_cmd(cmd, print_output=False)
if err_msg:
raise FailedOperation(u._('Configuration reset failed. {error} {message}').format(error=err_msg, message=... | ConfigApi | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigApi:
def config_reset():
"""Config Reset. Resets the kolla-ansible configuration to its release defaults."""
<|body_0|>
def config_import_inventory(self, file_path):
"""Config Import Inventory Import groups and child associations from the provided inventory fil... | stack_v2_sparse_classes_75kplus_train_068134 | 2,169 | permissive | [
{
"docstring": "Config Reset. Resets the kolla-ansible configuration to its release defaults.",
"name": "config_reset",
"signature": "def config_reset()"
},
{
"docstring": "Config Import Inventory Import groups and child associations from the provided inventory file. This currently does not impo... | 2 | null | Implement the Python class `ConfigApi` described below.
Class description:
Implement the ConfigApi class.
Method signatures and docstrings:
- def config_reset(): Config Reset. Resets the kolla-ansible configuration to its release defaults.
- def config_import_inventory(self, file_path): Config Import Inventory Import... | Implement the Python class `ConfigApi` described below.
Class description:
Implement the ConfigApi class.
Method signatures and docstrings:
- def config_reset(): Config Reset. Resets the kolla-ansible configuration to its release defaults.
- def config_import_inventory(self, file_path): Config Import Inventory Import... | dc38107ff2462f62124b5feab275fa369e223169 | <|skeleton|>
class ConfigApi:
def config_reset():
"""Config Reset. Resets the kolla-ansible configuration to its release defaults."""
<|body_0|>
def config_import_inventory(self, file_path):
"""Config Import Inventory Import groups and child associations from the provided inventory fil... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfigApi:
def config_reset():
"""Config Reset. Resets the kolla-ansible configuration to its release defaults."""
actions_path = utils.get_kolla_actions_path()
cmd = '%s config_reset' % actions_path
err_msg, output = utils.run_cmd(cmd, print_output=False)
if err_msg:
... | the_stack_v2_python_sparse | kolla_cli/api/config.py | iputra/kolla-cli | train | 0 | |
533090537ef05fc6faa3738b6a8c8bfa6c2ca461 | [
"buf = self.value[:]\nwhile True:\n if len(buf) <= 8:\n break\n next_entry_offset, flags, ea_name_length, ea_value_length = struct.unpack('<LBBH', buf[:8])\n if 9 + ea_name_length + ea_value_length > len(buf) or next_entry_offset > len(buf):\n break\n name = buf[8:8 + ea_name_length + 1]\n... | <|body_start_0|>
buf = self.value[:]
while True:
if len(buf) <= 8:
break
next_entry_offset, flags, ea_name_length, ea_value_length = struct.unpack('<LBBH', buf[:8])
if 9 + ea_name_length + ea_value_length > len(buf) or next_entry_offset > len(buf):
... | $EA. | EA | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EA:
"""$EA."""
def data_parsed(self):
"""Attempt to parse the extended attribute and yield (name, flags, value) tuples."""
<|body_0|>
def print_information(self):
"""Print all information in a human-readable form."""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_75kplus_train_068135 | 36,119 | permissive | [
{
"docstring": "Attempt to parse the extended attribute and yield (name, flags, value) tuples.",
"name": "data_parsed",
"signature": "def data_parsed(self)"
},
{
"docstring": "Print all information in a human-readable form.",
"name": "print_information",
"signature": "def print_informati... | 2 | stack_v2_sparse_classes_30k_train_003667 | Implement the Python class `EA` described below.
Class description:
$EA.
Method signatures and docstrings:
- def data_parsed(self): Attempt to parse the extended attribute and yield (name, flags, value) tuples.
- def print_information(self): Print all information in a human-readable form. | Implement the Python class `EA` described below.
Class description:
$EA.
Method signatures and docstrings:
- def data_parsed(self): Attempt to parse the extended attribute and yield (name, flags, value) tuples.
- def print_information(self): Print all information in a human-readable form.
<|skeleton|>
class EA:
... | f9299b8ad0cb2a6bbbd5e65f01d2ba06406c70ac | <|skeleton|>
class EA:
"""$EA."""
def data_parsed(self):
"""Attempt to parse the extended attribute and yield (name, flags, value) tuples."""
<|body_0|>
def print_information(self):
"""Print all information in a human-readable form."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EA:
"""$EA."""
def data_parsed(self):
"""Attempt to parse the extended attribute and yield (name, flags, value) tuples."""
buf = self.value[:]
while True:
if len(buf) <= 8:
break
next_entry_offset, flags, ea_name_length, ea_value_length = st... | the_stack_v2_python_sparse | modules/NTFS/dfir_ntfs/Attributes.py | dfrc-korea/carpe | train | 75 |
d50527a4a2c4782ab993436f24c364725ddf8dd7 | [
"if '_xml_ns' in kwargs:\n self._xml_ns = kwargs['_xml_ns']\nif '_xml_ns_key' in kwargs:\n self._xml_ns_key = kwargs['_xml_ns_key']\nself.TxWFParameters = TxWFParameters\nself.RcvParameters = RcvParameters\nsuper(TxRcvType, self).__init__(**kwargs)",
"if self.TxWFParameters is None:\n return 0\nreturn le... | <|body_start_0|>
if '_xml_ns' in kwargs:
self._xml_ns = kwargs['_xml_ns']
if '_xml_ns_key' in kwargs:
self._xml_ns_key = kwargs['_xml_ns_key']
self.TxWFParameters = TxWFParameters
self.RcvParameters = RcvParameters
super(TxRcvType, self).__init__(**kwargs)... | Parameters that describe the transmitted waveform(s) and receiver configurations used in the collection | TxRcvType | [
"MIT",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TxRcvType:
"""Parameters that describe the transmitted waveform(s) and receiver configurations used in the collection"""
def __init__(self, TxWFParameters=None, RcvParameters=None, **kwargs):
"""Parameters ---------- TxWFParameters : List[TxWFParametersType] RcvParameters : List[RcvP... | stack_v2_sparse_classes_75kplus_train_068136 | 8,516 | permissive | [
{
"docstring": "Parameters ---------- TxWFParameters : List[TxWFParametersType] RcvParameters : List[RcvParametersType] kwargs",
"name": "__init__",
"signature": "def __init__(self, TxWFParameters=None, RcvParameters=None, **kwargs)"
},
{
"docstring": "int: The number of transmit waveforms used.... | 3 | null | Implement the Python class `TxRcvType` described below.
Class description:
Parameters that describe the transmitted waveform(s) and receiver configurations used in the collection
Method signatures and docstrings:
- def __init__(self, TxWFParameters=None, RcvParameters=None, **kwargs): Parameters ---------- TxWFParame... | Implement the Python class `TxRcvType` described below.
Class description:
Parameters that describe the transmitted waveform(s) and receiver configurations used in the collection
Method signatures and docstrings:
- def __init__(self, TxWFParameters=None, RcvParameters=None, **kwargs): Parameters ---------- TxWFParame... | de1b1886f161a83b6c89aadc7a2c7cfc4892ef81 | <|skeleton|>
class TxRcvType:
"""Parameters that describe the transmitted waveform(s) and receiver configurations used in the collection"""
def __init__(self, TxWFParameters=None, RcvParameters=None, **kwargs):
"""Parameters ---------- TxWFParameters : List[TxWFParametersType] RcvParameters : List[RcvP... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TxRcvType:
"""Parameters that describe the transmitted waveform(s) and receiver configurations used in the collection"""
def __init__(self, TxWFParameters=None, RcvParameters=None, **kwargs):
"""Parameters ---------- TxWFParameters : List[TxWFParametersType] RcvParameters : List[RcvParametersType... | the_stack_v2_python_sparse | sarpy/io/phase_history/cphd1_elements/TxRcv.py | ngageoint/sarpy | train | 192 |
df4b3f6f33d1a0afa81b2aac8e36fcc0e572a0af | [
"LDC_Info.__init__(self)\nself.setTitle(self.name)\nself.status = compat_res[0]\nui = Ui_videoFrame()\nui.setupUi(self.frame)\nself.__fill_frame(ui, info_res, compat_res, diag_res)",
"ui.productLineEdit.setText(QtGui.QApplication.translate('videoFrame', self._check_invalid_values(info_res.model[1]), None, QtGui.Q... | <|body_start_0|>
LDC_Info.__init__(self)
self.setTitle(self.name)
self.status = compat_res[0]
ui = Ui_videoFrame()
ui.setupUi(self.frame)
self.__fill_frame(ui, info_res, compat_res, diag_res)
<|end_body_0|>
<|body_start_1|>
ui.productLineEdit.setText(QtGui.QAppli... | Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de vídeo. | GUIVideo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GUIVideo:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de vídeo."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResSound) compat_r... | stack_v2_sparse_classes_75kplus_train_068137 | 4,657 | no_license | [
{
"docstring": "Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResSound) compat_res -- Lista com as tuples de resultados de compatibilidade [(True, msg)] diag_res -- Lista com os resultados do diagn�stico (lista de 'DaigResSound')",
"name": "__init__",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_038532 | Implement the Python class `GUIVideo` described below.
Class description:
Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de vídeo.
Method signatures and docstrings:
- def __init__(self, info_res, compat_res, diag_res): Construtor Parâmetros: info_res -- lista com os ... | Implement the Python class `GUIVideo` described below.
Class description:
Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de vídeo.
Method signatures and docstrings:
- def __init__(self, info_res, compat_res, diag_res): Construtor Parâmetros: info_res -- lista com os ... | bda0c2c8977dd1246339f1f0f4718d29e8795f21 | <|skeleton|>
class GUIVideo:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de vídeo."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResSound) compat_r... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GUIVideo:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de vídeo."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResSound) compat_res -- Lista c... | the_stack_v2_python_sparse | src/libs/video/gui_video.py | adrianomelo/ldc-desktop | train | 1 |
0d69952302d41605b0c7d72515a278366e0f0593 | [
"ret = [0]\nfor i in range(1, len(pattern)):\n j = ret[i - 1]\n while j > 0 and pattern[j] != pattern[i]:\n j = ret[j - 1]\n ret.append(j + 1 if pattern[j] == pattern[i] else j)\nreturn ret",
"partial, ret, j = (self.partial(P), [], 0)\nfor i in range(len(T)):\n while j > 0 and T[i] != P[j]:\n ... | <|body_start_0|>
ret = [0]
for i in range(1, len(pattern)):
j = ret[i - 1]
while j > 0 and pattern[j] != pattern[i]:
j = ret[j - 1]
ret.append(j + 1 if pattern[j] == pattern[i] else j)
return ret
<|end_body_0|>
<|body_start_1|>
partial... | KMP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KMP:
def partial(self, pattern):
"""Calculate partial match table: String -> [Int]"""
<|body_0|>
def search(self, T, P):
"""KMP search main algorithm: String -> String -> [Int] Return all the matching position of pattern string P in S"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_75kplus_train_068138 | 2,065 | no_license | [
{
"docstring": "Calculate partial match table: String -> [Int]",
"name": "partial",
"signature": "def partial(self, pattern)"
},
{
"docstring": "KMP search main algorithm: String -> String -> [Int] Return all the matching position of pattern string P in S",
"name": "search",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_039748 | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def partial(self, pattern): Calculate partial match table: String -> [Int]
- def search(self, T, P): KMP search main algorithm: String -> String -> [Int] Return all the matching position o... | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def partial(self, pattern): Calculate partial match table: String -> [Int]
- def search(self, T, P): KMP search main algorithm: String -> String -> [Int] Return all the matching position o... | 112e9b0e2a44efc6c56d4b97976efb95b2d929b6 | <|skeleton|>
class KMP:
def partial(self, pattern):
"""Calculate partial match table: String -> [Int]"""
<|body_0|>
def search(self, T, P):
"""KMP search main algorithm: String -> String -> [Int] Return all the matching position of pattern string P in S"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KMP:
def partial(self, pattern):
"""Calculate partial match table: String -> [Int]"""
ret = [0]
for i in range(1, len(pattern)):
j = ret[i - 1]
while j > 0 and pattern[j] != pattern[i]:
j = ret[j - 1]
ret.append(j + 1 if pattern[j] ==... | the_stack_v2_python_sparse | KMP.py | MasKong/Algorithms | train | 0 | |
a8bb393c49578613ff2432bd1dba8be6c76a1dc3 | [
"self.face_detector = FaceDetector()\nself.cnn_input_size = 128\nself.marks = None\nself.model = keras.models.load_model(saved_model)",
"left_x = box[0] + offset[0]\ntop_y = box[1] + offset[1]\nright_x = box[2] + offset[0]\nbottom_y = box[3] + offset[1]\nreturn [left_x, top_y, right_x, bottom_y]",
"left_x = box... | <|body_start_0|>
self.face_detector = FaceDetector()
self.cnn_input_size = 128
self.marks = None
self.model = keras.models.load_model(saved_model)
<|end_body_0|>
<|body_start_1|>
left_x = box[0] + offset[0]
top_y = box[1] + offset[1]
right_x = box[2] + offset[0]
... | Facial landmark detector by Convolutional Neural Network | MarkDetector | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MarkDetector:
"""Facial landmark detector by Convolutional Neural Network"""
def __init__(self, saved_model='models/pose_model'):
"""Initialization"""
<|body_0|>
def move_box(box, offset):
"""Move the box to direction specified by vector offset"""
<|body_... | stack_v2_sparse_classes_75kplus_train_068139 | 8,266 | no_license | [
{
"docstring": "Initialization",
"name": "__init__",
"signature": "def __init__(self, saved_model='models/pose_model')"
},
{
"docstring": "Move the box to direction specified by vector offset",
"name": "move_box",
"signature": "def move_box(box, offset)"
},
{
"docstring": "Get a ... | 6 | null | Implement the Python class `MarkDetector` described below.
Class description:
Facial landmark detector by Convolutional Neural Network
Method signatures and docstrings:
- def __init__(self, saved_model='models/pose_model'): Initialization
- def move_box(box, offset): Move the box to direction specified by vector offs... | Implement the Python class `MarkDetector` described below.
Class description:
Facial landmark detector by Convolutional Neural Network
Method signatures and docstrings:
- def __init__(self, saved_model='models/pose_model'): Initialization
- def move_box(box, offset): Move the box to direction specified by vector offs... | aa13cfcb2e01b8b0db6086328f00e29a6b86021b | <|skeleton|>
class MarkDetector:
"""Facial landmark detector by Convolutional Neural Network"""
def __init__(self, saved_model='models/pose_model'):
"""Initialization"""
<|body_0|>
def move_box(box, offset):
"""Move the box to direction specified by vector offset"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MarkDetector:
"""Facial landmark detector by Convolutional Neural Network"""
def __init__(self, saved_model='models/pose_model'):
"""Initialization"""
self.face_detector = FaceDetector()
self.cnn_input_size = 128
self.marks = None
self.model = keras.models.load_mod... | the_stack_v2_python_sparse | vpt/processors/gaze_detector.py | IamMaxim/vigilant-palm-tree | train | 0 |
180d571d24f7cf7c9ea4aa6f77dbb34e4374a38e | [
"super().__init__(*args, **kwargs)\nself.fields['details'].widget.attrs.update({'class': 'materialize-textarea'})\nself.fields['limit_date'].widget.attrs.update({'class': 'datepicker'})",
"hours_input = self.cleaned_data['half_hour_count']\nif not hours_input[0].isdigit():\n raise ValidationError(\"Le nombre d... | <|body_start_0|>
super().__init__(*args, **kwargs)
self.fields['details'].widget.attrs.update({'class': 'materialize-textarea'})
self.fields['limit_date'].widget.attrs.update({'class': 'datepicker'})
<|end_body_0|>
<|body_start_1|>
hours_input = self.cleaned_data['half_hour_count']
... | Define form for job offer publishing. | JobOfferForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JobOfferForm:
"""Define form for job offer publishing."""
def __init__(self, *args, **kwargs):
"""Extend details field widget."""
<|body_0|>
def clean_half_hour_count(self):
"""Convert form hours into half_hour number."""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_75kplus_train_068140 | 1,324 | no_license | [
{
"docstring": "Extend details field widget.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Convert form hours into half_hour number.",
"name": "clean_half_hour_count",
"signature": "def clean_half_hour_count(self)"
}
] | 2 | null | Implement the Python class `JobOfferForm` described below.
Class description:
Define form for job offer publishing.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Extend details field widget.
- def clean_half_hour_count(self): Convert form hours into half_hour number. | Implement the Python class `JobOfferForm` described below.
Class description:
Define form for job offer publishing.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Extend details field widget.
- def clean_half_hour_count(self): Convert form hours into half_hour number.
<|skeleton|>
class Job... | ae4f06e05b21bb208b5c5f7c59583110ad55b600 | <|skeleton|>
class JobOfferForm:
"""Define form for job offer publishing."""
def __init__(self, *args, **kwargs):
"""Extend details field widget."""
<|body_0|>
def clean_half_hour_count(self):
"""Convert form hours into half_hour number."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JobOfferForm:
"""Define form for job offer publishing."""
def __init__(self, *args, **kwargs):
"""Extend details field widget."""
super().__init__(*args, **kwargs)
self.fields['details'].widget.attrs.update({'class': 'materialize-textarea'})
self.fields['limit_date'].widge... | the_stack_v2_python_sparse | jobs/forms/job_offer.py | cmigazzi/P13_Final | train | 0 |
1d41808229125aed317ccae89bf4798bd2229b2b | [
"result, n = (None, len(A))\nfor move in xrange(n):\n tmp = 0\n for i in xrange(n):\n tmp += A[i] * ((i + move) % n)\n result = max(tmp, result) if result else tmp\nreturn result if result else 0",
"result, n = (None, len(A))\ntotal = sum(A)\nprevious = 0\nfor i in xrange(n):\n previous += i * ... | <|body_start_0|>
result, n = (None, len(A))
for move in xrange(n):
tmp = 0
for i in xrange(n):
tmp += A[i] * ((i + move) % n)
result = max(tmp, result) if result else tmp
return result if result else 0
<|end_body_0|>
<|body_start_1|>
r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxRotateFunction(self, A):
""":type A: List[int] :rtype: int"""
<|body_0|>
def maxRotateFunction(self, A):
""":type A: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result, n = (None, len(A))
for move i... | stack_v2_sparse_classes_75kplus_train_068141 | 1,058 | no_license | [
{
"docstring": ":type A: List[int] :rtype: int",
"name": "maxRotateFunction",
"signature": "def maxRotateFunction(self, A)"
},
{
"docstring": ":type A: List[int] :rtype: int",
"name": "maxRotateFunction",
"signature": "def maxRotateFunction(self, A)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048688 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxRotateFunction(self, A): :type A: List[int] :rtype: int
- def maxRotateFunction(self, A): :type A: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxRotateFunction(self, A): :type A: List[int] :rtype: int
- def maxRotateFunction(self, A): :type A: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxRotateFu... | ee79d3437cf47b26a4bca0ec798dc54d7b623453 | <|skeleton|>
class Solution:
def maxRotateFunction(self, A):
""":type A: List[int] :rtype: int"""
<|body_0|>
def maxRotateFunction(self, A):
""":type A: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxRotateFunction(self, A):
""":type A: List[int] :rtype: int"""
result, n = (None, len(A))
for move in xrange(n):
tmp = 0
for i in xrange(n):
tmp += A[i] * ((i + move) % n)
result = max(tmp, result) if result else tmp
... | the_stack_v2_python_sparse | Algorithm/Python/396. Rotate Function.py | WuLC/LeetCode | train | 29 | |
eb74eaf7bf59841c4786644a4840f9fd030aa8ad | [
"head = ListNode(-1)\np = head\nwhile l1 and l2:\n if l1.val < l2.val:\n p.next = l1\n l1 = l1.next\n else:\n p.next = l2\n l2 = l2.next\n p = p.next\nif l1:\n p.next = l1\nif l2:\n p.next = l2\nreturn head.next",
"if l1 is None:\n return l2\nelif l2 is None:\n ret... | <|body_start_0|>
head = ListNode(-1)
p = head
while l1 and l2:
if l1.val < l2.val:
p.next = l1
l1 = l1.next
else:
p.next = l2
l2 = l2.next
p = p.next
if l1:
p.next = l1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode:
"""双指针法"""
<|body_0|>
def mergeTwoLists2(self, l1: ListNode, l2: ListNode) -> ListNode:
"""递归法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
head = ListNode(-1)
p =... | stack_v2_sparse_classes_75kplus_train_068142 | 1,496 | no_license | [
{
"docstring": "双指针法",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode"
},
{
"docstring": "递归法",
"name": "mergeTwoLists2",
"signature": "def mergeTwoLists2(self, l1: ListNode, l2: ListNode) -> ListNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_015432 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode: 双指针法
- def mergeTwoLists2(self, l1: ListNode, l2: ListNode) -> ListNode: 递归法 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode: 双指针法
- def mergeTwoLists2(self, l1: ListNode, l2: ListNode) -> ListNode: 递归法
<|skeleton|>
class Solution:
d... | 13e7ec9fe7a92ab13b247bd4edeb1ada5de81a08 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode:
"""双指针法"""
<|body_0|>
def mergeTwoLists2(self, l1: ListNode, l2: ListNode) -> ListNode:
"""递归法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode:
"""双指针法"""
head = ListNode(-1)
p = head
while l1 and l2:
if l1.val < l2.val:
p.next = l1
l1 = l1.next
else:
p.next = l2
... | the_stack_v2_python_sparse | Algorithms/21_Merge_Two_Sorted_Lists/Merge_Two_Sorted_Lists.py | lirui-ML/my_leetcode | train | 1 | |
a626a9a56a02f87d97b7dc242bbcc957c99f69ad | [
"DenseVectorPrf.__init__(self)\nself.alpha = alpha\nself.beta = beta\nself.gamma = gamma\nself.topk = topk\nself.bottomk = bottomk",
"all_candidate_embs = [item.vectors for item in prf_candidates]\nweighted_query_embs = self.alpha * emb_qs\nweighted_mean_pos_doc_embs = self.beta * np.mean(all_candidate_embs[:self... | <|body_start_0|>
DenseVectorPrf.__init__(self)
self.alpha = alpha
self.beta = beta
self.gamma = gamma
self.topk = topk
self.bottomk = bottomk
<|end_body_0|>
<|body_start_1|>
all_candidate_embs = [item.vectors for item in prf_candidates]
weighted_query_emb... | DenseVectorRocchioPrf | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DenseVectorRocchioPrf:
def __init__(self, alpha: float, beta: float, gamma: float, topk: int, bottomk: int):
"""Parameters ---------- alpha : float Rocchio parameter, controls the weight assigned to the original query embedding. beta : float Rocchio parameter, controls the weight assigne... | stack_v2_sparse_classes_75kplus_train_068143 | 7,539 | permissive | [
{
"docstring": "Parameters ---------- alpha : float Rocchio parameter, controls the weight assigned to the original query embedding. beta : float Rocchio parameter, controls the weight assigned to the positive document embeddings. gamma : float Rocchio parameter, controls the weight assigned to the negative doc... | 3 | stack_v2_sparse_classes_30k_train_020093 | Implement the Python class `DenseVectorRocchioPrf` described below.
Class description:
Implement the DenseVectorRocchioPrf class.
Method signatures and docstrings:
- def __init__(self, alpha: float, beta: float, gamma: float, topk: int, bottomk: int): Parameters ---------- alpha : float Rocchio parameter, controls th... | Implement the Python class `DenseVectorRocchioPrf` described below.
Class description:
Implement the DenseVectorRocchioPrf class.
Method signatures and docstrings:
- def __init__(self, alpha: float, beta: float, gamma: float, topk: int, bottomk: int): Parameters ---------- alpha : float Rocchio parameter, controls th... | 42b354914b230880c91b2e4e70605b472441a9a1 | <|skeleton|>
class DenseVectorRocchioPrf:
def __init__(self, alpha: float, beta: float, gamma: float, topk: int, bottomk: int):
"""Parameters ---------- alpha : float Rocchio parameter, controls the weight assigned to the original query embedding. beta : float Rocchio parameter, controls the weight assigne... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DenseVectorRocchioPrf:
def __init__(self, alpha: float, beta: float, gamma: float, topk: int, bottomk: int):
"""Parameters ---------- alpha : float Rocchio parameter, controls the weight assigned to the original query embedding. beta : float Rocchio parameter, controls the weight assigned to the posit... | the_stack_v2_python_sparse | pyserini/search/faiss/_prf.py | castorini/pyserini | train | 1,070 | |
6dbbb0165a3e7b4a8f5c1900e13b0dda93327c4f | [
"super(RDB_Conv, self).__init__()\nCin = inChannels\nG = growRate\nself.shgroup = sh_groups\nself.congroup = conv_groups\nself.conv = Sequential(ops.Conv2d(Cin, G, kSize, padding=(kSize - 1) // 2, stride=1, groups=self.congroup), ops.Relu())",
"if self.data_format == 'channels_first':\n out = self.conv(channel... | <|body_start_0|>
super(RDB_Conv, self).__init__()
Cin = inChannels
G = growRate
self.shgroup = sh_groups
self.congroup = conv_groups
self.conv = Sequential(ops.Conv2d(Cin, G, kSize, padding=(kSize - 1) // 2, stride=1, groups=self.congroup), ops.Relu())
<|end_body_0|>
<|b... | Convolution operation of efficient residual dense block with shuffle and group. | RDB_Conv | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RDB_Conv:
"""Convolution operation of efficient residual dense block with shuffle and group."""
def __init__(self, inChannels, growRate, sh_groups, conv_groups, kSize=3):
"""Initialize Block. :param inChannels: channel number of input :type inChannels: int :param growRate: growth rat... | stack_v2_sparse_classes_75kplus_train_068144 | 14,306 | permissive | [
{
"docstring": "Initialize Block. :param inChannels: channel number of input :type inChannels: int :param growRate: growth rate of block :type growRate: int :param sh_groups: group number of shuffle operation :type sh_groups: int :param conv_groups: group number of convolution operation :type conv_groups: int :... | 2 | stack_v2_sparse_classes_30k_train_005279 | Implement the Python class `RDB_Conv` described below.
Class description:
Convolution operation of efficient residual dense block with shuffle and group.
Method signatures and docstrings:
- def __init__(self, inChannels, growRate, sh_groups, conv_groups, kSize=3): Initialize Block. :param inChannels: channel number o... | Implement the Python class `RDB_Conv` described below.
Class description:
Convolution operation of efficient residual dense block with shuffle and group.
Method signatures and docstrings:
- def __init__(self, inChannels, growRate, sh_groups, conv_groups, kSize=3): Initialize Block. :param inChannels: channel number o... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class RDB_Conv:
"""Convolution operation of efficient residual dense block with shuffle and group."""
def __init__(self, inChannels, growRate, sh_groups, conv_groups, kSize=3):
"""Initialize Block. :param inChannels: channel number of input :type inChannels: int :param growRate: growth rat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RDB_Conv:
"""Convolution operation of efficient residual dense block with shuffle and group."""
def __init__(self, inChannels, growRate, sh_groups, conv_groups, kSize=3):
"""Initialize Block. :param inChannels: channel number of input :type inChannels: int :param growRate: growth rate of block :t... | the_stack_v2_python_sparse | zeus/networks/erdb_esr.py | huawei-noah/xingtian | train | 308 |
debcd35298539ba20ed8dc6b17ad58d32aed97f7 | [
"task = Task.query.filter_by(id=task_id, job_id=job_id).first()\nif not task:\n return (jsonify(task_id=task_id, log=log_identifier, error='Specified task not found'), NOT_FOUND)\nlog = TaskLog.query.filter_by(identifier=log_identifier).first()\nif not log:\n return (jsonify(task_id=task_id, log=log_identifie... | <|body_start_0|>
task = Task.query.filter_by(id=task_id, job_id=job_id).first()
if not task:
return (jsonify(task_id=task_id, log=log_identifier, error='Specified task not found'), NOT_FOUND)
log = TaskLog.query.filter_by(identifier=log_identifier).first()
if not log:
... | TaskLogfileAPI | [
"BSD-3-Clause",
"Apache-2.0",
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskLogfileAPI:
def get(self, job_id, task_id, attempt, log_identifier):
"""A ``GET`` to this endpoint will return the actual logfile or a redirect to it. .. http:get:: /api/v1/jobs/<job_id>/tasks/<task_id>/attempts/<attempt>/logs/<log_identifier>/logfile HTTP/1.1 **Request** .. sourceco... | stack_v2_sparse_classes_75kplus_train_068145 | 17,414 | permissive | [
{
"docstring": "A ``GET`` to this endpoint will return the actual logfile or a redirect to it. .. http:get:: /api/v1/jobs/<job_id>/tasks/<task_id>/attempts/<attempt>/logs/<log_identifier>/logfile HTTP/1.1 **Request** .. sourcecode:: http GET /api/v1/jobs/4/tasks/1300/attempts/5/logs/2014-09-03_10-58-59_4_4ee024... | 2 | null | Implement the Python class `TaskLogfileAPI` described below.
Class description:
Implement the TaskLogfileAPI class.
Method signatures and docstrings:
- def get(self, job_id, task_id, attempt, log_identifier): A ``GET`` to this endpoint will return the actual logfile or a redirect to it. .. http:get:: /api/v1/jobs/<jo... | Implement the Python class `TaskLogfileAPI` described below.
Class description:
Implement the TaskLogfileAPI class.
Method signatures and docstrings:
- def get(self, job_id, task_id, attempt, log_identifier): A ``GET`` to this endpoint will return the actual logfile or a redirect to it. .. http:get:: /api/v1/jobs/<jo... | ea04bbcb807eb669415c569417b4b1b68e75d29d | <|skeleton|>
class TaskLogfileAPI:
def get(self, job_id, task_id, attempt, log_identifier):
"""A ``GET`` to this endpoint will return the actual logfile or a redirect to it. .. http:get:: /api/v1/jobs/<job_id>/tasks/<task_id>/attempts/<attempt>/logs/<log_identifier>/logfile HTTP/1.1 **Request** .. sourceco... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TaskLogfileAPI:
def get(self, job_id, task_id, attempt, log_identifier):
"""A ``GET`` to this endpoint will return the actual logfile or a redirect to it. .. http:get:: /api/v1/jobs/<job_id>/tasks/<task_id>/attempts/<attempt>/logs/<log_identifier>/logfile HTTP/1.1 **Request** .. sourcecode:: http GET ... | the_stack_v2_python_sparse | pyfarm/master/api/tasklogs.py | pyfarm/pyfarm-master | train | 2 | |
03867f1034b2e8e5b256466273b9181a834351d9 | [
"if uuid is None:\n departments = DepartmentService.get_all()\n return ({'departments': self.department_schema.dump(departments, many=True)}, 200)\ndepartment = DepartmentService.get_by_uuid(uuid)\nif not department:\n return ({'message': 'object is not found '}, 404)\nreturn (self.department_schema.dump(d... | <|body_start_0|>
if uuid is None:
departments = DepartmentService.get_all()
return ({'departments': self.department_schema.dump(departments, many=True)}, 200)
department = DepartmentService.get_by_uuid(uuid)
if not department:
return ({'message': 'object is no... | Department REST resource. | DepartmentListApi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DepartmentListApi:
"""Department REST resource."""
def get(self, uuid=None):
"""Methog get"""
<|body_0|>
def post(self):
"""Methog post"""
<|body_1|>
def put(self, uuid):
"""Methog put"""
<|body_2|>
def delete(self, uuid):
... | stack_v2_sparse_classes_75kplus_train_068146 | 2,079 | no_license | [
{
"docstring": "Methog get",
"name": "get",
"signature": "def get(self, uuid=None)"
},
{
"docstring": "Methog post",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "Methog put",
"name": "put",
"signature": "def put(self, uuid)"
},
{
"docstring": "... | 4 | stack_v2_sparse_classes_30k_train_048442 | Implement the Python class `DepartmentListApi` described below.
Class description:
Department REST resource.
Method signatures and docstrings:
- def get(self, uuid=None): Methog get
- def post(self): Methog post
- def put(self, uuid): Methog put
- def delete(self, uuid): Methog delete | Implement the Python class `DepartmentListApi` described below.
Class description:
Department REST resource.
Method signatures and docstrings:
- def get(self, uuid=None): Methog get
- def post(self): Methog post
- def put(self, uuid): Methog put
- def delete(self, uuid): Methog delete
<|skeleton|>
class DepartmentLi... | 0a78ca5d8bca76c63ab2f1e5738e11096074403b | <|skeleton|>
class DepartmentListApi:
"""Department REST resource."""
def get(self, uuid=None):
"""Methog get"""
<|body_0|>
def post(self):
"""Methog post"""
<|body_1|>
def put(self, uuid):
"""Methog put"""
<|body_2|>
def delete(self, uuid):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DepartmentListApi:
"""Department REST resource."""
def get(self, uuid=None):
"""Methog get"""
if uuid is None:
departments = DepartmentService.get_all()
return ({'departments': self.department_schema.dump(departments, many=True)}, 200)
department = Departme... | the_stack_v2_python_sparse | src/api/resources/departments.py | VladyslavPodrazhanskyi/departments_application | train | 0 |
a17b83d526c2833d58a08949d753161de85d3523 | [
"self.filename = filename\nself.pixel_size = pixel_size\nself.unit = unit\nif img_data is not None:\n self.img_data = img_data\n self.img_dims = self.img_data.shape\n self.img_bitdepth = self.img_data.dtype\nelse:\n self.get_image()\nself.tiles = {}",
"if self.filename is not None:\n if os.path.spl... | <|body_start_0|>
self.filename = filename
self.pixel_size = pixel_size
self.unit = unit
if img_data is not None:
self.img_data = img_data
self.img_dims = self.img_data.shape
self.img_bitdepth = self.img_data.dtype
else:
self.get_ima... | Class for a generic image | Image | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Image:
"""Class for a generic image"""
def __init__(self, filename: Optional[str]=None, img_data: Optional[np.ndarray]=None, pixel_size: Optional[float]=None, unit: Optional[str]=None):
"""Class holding Image data + metadata Args: filename (Optional[str], optional): Filename for the ... | stack_v2_sparse_classes_75kplus_train_068147 | 4,444 | permissive | [
{
"docstring": "Class holding Image data + metadata Args: filename (Optional[str], optional): Filename for the image, in tiff or mrc. Defaults to None. img_data (Optional[np.ndarray], optional): Array holding image data. Defaults to None. pixel_size (Optional[float], optional): Pixel size. Defaults to None. uni... | 3 | stack_v2_sparse_classes_30k_train_015842 | Implement the Python class `Image` described below.
Class description:
Class for a generic image
Method signatures and docstrings:
- def __init__(self, filename: Optional[str]=None, img_data: Optional[np.ndarray]=None, pixel_size: Optional[float]=None, unit: Optional[str]=None): Class holding Image data + metadata Ar... | Implement the Python class `Image` described below.
Class description:
Class for a generic image
Method signatures and docstrings:
- def __init__(self, filename: Optional[str]=None, img_data: Optional[np.ndarray]=None, pixel_size: Optional[float]=None, unit: Optional[str]=None): Class holding Image data + metadata Ar... | c5e0170031ffba0dce2c16414b91860988b566b2 | <|skeleton|>
class Image:
"""Class for a generic image"""
def __init__(self, filename: Optional[str]=None, img_data: Optional[np.ndarray]=None, pixel_size: Optional[float]=None, unit: Optional[str]=None):
"""Class holding Image data + metadata Args: filename (Optional[str], optional): Filename for the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Image:
"""Class for a generic image"""
def __init__(self, filename: Optional[str]=None, img_data: Optional[np.ndarray]=None, pixel_size: Optional[float]=None, unit: Optional[str]=None):
"""Class holding Image data + metadata Args: filename (Optional[str], optional): Filename for the image, in tif... | the_stack_v2_python_sparse | src/quoll/io/reader.py | rosalindfranklininstitute/quoll | train | 0 |
cfa77988b8017324c9384e4080bba104396d72f1 | [
"super().__init__()\ninitialize(self, init_type)\nself.msd = HiFiGANMultiScaleDiscriminator(scales=scales, downsample_pooling=scale_downsample_pooling, downsample_pooling_params=scale_downsample_pooling_params, discriminator_params=scale_discriminator_params, follow_official_norm=follow_official_norm)\nself.mpd = H... | <|body_start_0|>
super().__init__()
initialize(self, init_type)
self.msd = HiFiGANMultiScaleDiscriminator(scales=scales, downsample_pooling=scale_downsample_pooling, downsample_pooling_params=scale_downsample_pooling_params, discriminator_params=scale_discriminator_params, follow_official_norm=f... | HiFi-GAN multi-scale + multi-period discriminator module. | HiFiGANMultiScaleMultiPeriodDiscriminator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HiFiGANMultiScaleMultiPeriodDiscriminator:
"""HiFi-GAN multi-scale + multi-period discriminator module."""
def __init__(self, scales: int=3, scale_downsample_pooling: str='AvgPool1D', scale_downsample_pooling_params: Dict[str, Any]={'kernel_size': 4, 'stride': 2, 'padding': 2}, scale_discrim... | stack_v2_sparse_classes_75kplus_train_068148 | 30,988 | permissive | [
{
"docstring": "Initilize HiFiGAN multi-scale + multi-period discriminator module. Args: scales (int): Number of multi-scales. scale_downsample_pooling (str): Pooling module name for downsampling of the inputs. scale_downsample_pooling_params (dict): Parameters for the above pooling module. scale_discriminator_... | 2 | stack_v2_sparse_classes_30k_train_014461 | Implement the Python class `HiFiGANMultiScaleMultiPeriodDiscriminator` described below.
Class description:
HiFi-GAN multi-scale + multi-period discriminator module.
Method signatures and docstrings:
- def __init__(self, scales: int=3, scale_downsample_pooling: str='AvgPool1D', scale_downsample_pooling_params: Dict[st... | Implement the Python class `HiFiGANMultiScaleMultiPeriodDiscriminator` described below.
Class description:
HiFi-GAN multi-scale + multi-period discriminator module.
Method signatures and docstrings:
- def __init__(self, scales: int=3, scale_downsample_pooling: str='AvgPool1D', scale_downsample_pooling_params: Dict[st... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class HiFiGANMultiScaleMultiPeriodDiscriminator:
"""HiFi-GAN multi-scale + multi-period discriminator module."""
def __init__(self, scales: int=3, scale_downsample_pooling: str='AvgPool1D', scale_downsample_pooling_params: Dict[str, Any]={'kernel_size': 4, 'stride': 2, 'padding': 2}, scale_discrim... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HiFiGANMultiScaleMultiPeriodDiscriminator:
"""HiFi-GAN multi-scale + multi-period discriminator module."""
def __init__(self, scales: int=3, scale_downsample_pooling: str='AvgPool1D', scale_downsample_pooling_params: Dict[str, Any]={'kernel_size': 4, 'stride': 2, 'padding': 2}, scale_discriminator_params... | the_stack_v2_python_sparse | paddlespeech/t2s/models/hifigan/hifigan.py | anniyanvr/DeepSpeech-1 | train | 0 |
06dbc29738984f080d38ea0602d411d1c827b01e | [
"self.capacity = capacity\nself.d_cache = {}\nself.lru_cache = deque()",
"if key not in self.d_cache:\n return -1\nelse:\n self.lru_cache.remove(key)\n self.lru_cache.appendleft(key)\n return self.d_cache[key]",
"self.d_cache.update({key: value})\nif len(self.d_cache) > self.capacity:\n self.d_ca... | <|body_start_0|>
self.capacity = capacity
self.d_cache = {}
self.lru_cache = deque()
<|end_body_0|>
<|body_start_1|>
if key not in self.d_cache:
return -1
else:
self.lru_cache.remove(key)
self.lru_cache.appendleft(key)
return self.... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_068149 | 1,137 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_train_053558 | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | 638a1312a66805fefb2a1e1dd7b4968d2c957564 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.d_cache = {}
self.lru_cache = deque()
def get(self, key):
""":type key: int :rtype: int"""
if key not in self.d_cache:
return -1
else:
... | the_stack_v2_python_sparse | lru_cache.py | wotann07/leetcode_py | train | 0 | |
022513e06de38bc45441ce79e5269fa1cb3ce05e | [
"await data.check(user)\nasync with aiosqlite.connect('data\\\\economy.db') as conn:\n async with conn.execute('SELECT * from ECONOMY') as cursor:\n async for row in cursor:\n if row[0] == user:\n return row[2]",
"await data.check(user)\nasync with aiosqlite.connect('data\\\\ec... | <|body_start_0|>
await data.check(user)
async with aiosqlite.connect('data\\economy.db') as conn:
async with conn.execute('SELECT * from ECONOMY') as cursor:
async for row in cursor:
if row[0] == user:
return row[2]
<|end_body_0|>
... | Bank | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bank:
async def get(self, user):
"""Get someone's bank balance."""
<|body_0|>
async def add(self, user, add):
"""Adds money to someone's bank."""
<|body_1|>
async def remove(self, user, take):
"""Removes money from someone's bank."""
<|bo... | stack_v2_sparse_classes_75kplus_train_068150 | 5,807 | no_license | [
{
"docstring": "Get someone's bank balance.",
"name": "get",
"signature": "async def get(self, user)"
},
{
"docstring": "Adds money to someone's bank.",
"name": "add",
"signature": "async def add(self, user, add)"
},
{
"docstring": "Removes money from someone's bank.",
"name"... | 3 | stack_v2_sparse_classes_30k_train_015566 | Implement the Python class `Bank` described below.
Class description:
Implement the Bank class.
Method signatures and docstrings:
- async def get(self, user): Get someone's bank balance.
- async def add(self, user, add): Adds money to someone's bank.
- async def remove(self, user, take): Removes money from someone's ... | Implement the Python class `Bank` described below.
Class description:
Implement the Bank class.
Method signatures and docstrings:
- async def get(self, user): Get someone's bank balance.
- async def add(self, user, add): Adds money to someone's bank.
- async def remove(self, user, take): Removes money from someone's ... | 3d075c516124d3a25feebd584fdc351c3abc6613 | <|skeleton|>
class Bank:
async def get(self, user):
"""Get someone's bank balance."""
<|body_0|>
async def add(self, user, add):
"""Adds money to someone's bank."""
<|body_1|>
async def remove(self, user, take):
"""Removes money from someone's bank."""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bank:
async def get(self, user):
"""Get someone's bank balance."""
await data.check(user)
async with aiosqlite.connect('data\\economy.db') as conn:
async with conn.execute('SELECT * from ECONOMY') as cursor:
async for row in cursor:
if ro... | the_stack_v2_python_sparse | core/EcoCore.py | Smudge-Studios/smudge | train | 0 | |
94883229724aacbea61658f4593af4227778749c | [
"self.nesterov = nesterov\nself.learning_rate = learning_rate\nself.momentum = momentum\nself.accumulated = None",
"worker_ids = list(dict_gradients.keys())\nif self.accumulated is None and self.momentum > 0:\n self.accumulated = []\n for index_layer in range(len(model.keras_model.get_weights())):\n ... | <|body_start_0|>
self.nesterov = nesterov
self.learning_rate = learning_rate
self.momentum = momentum
self.accumulated = None
<|end_body_0|>
<|body_start_1|>
worker_ids = list(dict_gradients.keys())
if self.accumulated is None and self.momentum > 0:
self.accu... | This class implements the Stocastic Gradient Descent optimization approach, run at Master node. It inherits from :class:`GradientOptimizer`. | SGD | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SGD:
"""This class implements the Stocastic Gradient Descent optimization approach, run at Master node. It inherits from :class:`GradientOptimizer`."""
def __init__(self, learning_rate, momentum=0, nesterov=False):
"""Create a :class:`SGD` instance. Parameters ---------- learning_rat... | stack_v2_sparse_classes_75kplus_train_068151 | 5,766 | permissive | [
{
"docstring": "Create a :class:`SGD` instance. Parameters ---------- learning_rate: float Learning rate for training. momentum: float Optimizer momentum. nesterov: boolean Flag indicating if the momentum optimizer is Nesterov or not.",
"name": "__init__",
"signature": "def __init__(self, learning_rate,... | 2 | stack_v2_sparse_classes_30k_train_048409 | Implement the Python class `SGD` described below.
Class description:
This class implements the Stocastic Gradient Descent optimization approach, run at Master node. It inherits from :class:`GradientOptimizer`.
Method signatures and docstrings:
- def __init__(self, learning_rate, momentum=0, nesterov=False): Create a ... | Implement the Python class `SGD` described below.
Class description:
This class implements the Stocastic Gradient Descent optimization approach, run at Master node. It inherits from :class:`GradientOptimizer`.
Method signatures and docstrings:
- def __init__(self, learning_rate, momentum=0, nesterov=False): Create a ... | ccc0a7674a04ae0d00bedc38893b33184c5f68c6 | <|skeleton|>
class SGD:
"""This class implements the Stocastic Gradient Descent optimization approach, run at Master node. It inherits from :class:`GradientOptimizer`."""
def __init__(self, learning_rate, momentum=0, nesterov=False):
"""Create a :class:`SGD` instance. Parameters ---------- learning_rat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SGD:
"""This class implements the Stocastic Gradient Descent optimization approach, run at Master node. It inherits from :class:`GradientOptimizer`."""
def __init__(self, learning_rate, momentum=0, nesterov=False):
"""Create a :class:`SGD` instance. Parameters ---------- learning_rate: float Lear... | the_stack_v2_python_sparse | MMLL/aggregators/aggregator.py | Musketeer-H2020/MMLL-Robust | train | 0 |
ea1446e829194f3f6abfca6a085dd1b9c67c1137 | [
"super().__init__(**kwargs)\nself.login_page_selectors = kwargs.get('login_page_selectors', None)\nself.selectors = kwargs.get('selectors', None)\nself.login_button_selector = kwargs.get('login_button_selector', None)\nkwargs['selector'] = self.login_button_selector\nself.login_button_action = ScraperAction(**kwarg... | <|body_start_0|>
super().__init__(**kwargs)
self.login_page_selectors = kwargs.get('login_page_selectors', None)
self.selectors = kwargs.get('selectors', None)
self.login_button_selector = kwargs.get('login_button_selector', None)
kwargs['selector'] = self.login_button_selector
... | Python class that will log into an interface | ScraperLogin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScraperLogin:
"""Python class that will log into an interface"""
def __init__(self, **kwargs):
"""Constructor for all ScraperComponents :param **kwargs dict using the following data. driver: WebScraper driver default None web_driver: WebScraper default None scraper_url: str url to op... | stack_v2_sparse_classes_75kplus_train_068152 | 4,501 | no_license | [
{
"docstring": "Constructor for all ScraperComponents :param **kwargs dict using the following data. driver: WebScraper driver default None web_driver: WebScraper default None scraper_url: str url to open default None open_url: bool True to open upon startup and False it waits. command: str command this compone... | 4 | stack_v2_sparse_classes_30k_train_020557 | Implement the Python class `ScraperLogin` described below.
Class description:
Python class that will log into an interface
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor for all ScraperComponents :param **kwargs dict using the following data. driver: WebScraper driver default None web_d... | Implement the Python class `ScraperLogin` described below.
Class description:
Python class that will log into an interface
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor for all ScraperComponents :param **kwargs dict using the following data. driver: WebScraper driver default None web_d... | c2577d8626e09a2f388b774fe0c78dda6a4464db | <|skeleton|>
class ScraperLogin:
"""Python class that will log into an interface"""
def __init__(self, **kwargs):
"""Constructor for all ScraperComponents :param **kwargs dict using the following data. driver: WebScraper driver default None web_driver: WebScraper default None scraper_url: str url to op... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScraperLogin:
"""Python class that will log into an interface"""
def __init__(self, **kwargs):
"""Constructor for all ScraperComponents :param **kwargs dict using the following data. driver: WebScraper driver default None web_driver: WebScraper default None scraper_url: str url to open default No... | the_stack_v2_python_sparse | events_hitparade_co/components/login.py | richardathitparade/hitparade_bots | train | 0 |
0c537649fc89f3a6db7c05b8ef1c75265fe7524d | [
"if reflection_table.get_flags(reflection_table.flags.integrated_prf).count(True) == 0:\n raise NoProfilesException('WARNING: No profile-integrated reflections found')\nselection = reflection_table.get_flags(reflection_table.flags.integrated, all=False)\nreflection_table = reflection_table.select(selection)\nlog... | <|body_start_0|>
if reflection_table.get_flags(reflection_table.flags.integrated_prf).count(True) == 0:
raise NoProfilesException('WARNING: No profile-integrated reflections found')
selection = reflection_table.get_flags(reflection_table.flags.integrated, all=False)
reflection_table ... | Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained. | SumORPrfIntensityReducer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SumORPrfIntensityReducer:
"""Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained."""
def reduce_on_intensities(reflection_table):
"""Select reflections successfully integrated by sum and prf methods."""
... | stack_v2_sparse_classes_75kplus_train_068153 | 38,270 | permissive | [
{
"docstring": "Select reflections successfully integrated by sum and prf methods.",
"name": "reduce_on_intensities",
"signature": "def reduce_on_intensities(reflection_table)"
},
{
"docstring": "Apply corrections to the intensities and variances (partiality, lp, qe).",
"name": "apply_scalin... | 2 | stack_v2_sparse_classes_30k_train_004273 | Implement the Python class `SumORPrfIntensityReducer` described below.
Class description:
Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained.
Method signatures and docstrings:
- def reduce_on_intensities(reflection_table): Select reflection... | Implement the Python class `SumORPrfIntensityReducer` described below.
Class description:
Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained.
Method signatures and docstrings:
- def reduce_on_intensities(reflection_table): Select reflection... | 88bf7f7c5ac44defc046ebf0719cde748092cfff | <|skeleton|>
class SumORPrfIntensityReducer:
"""Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained."""
def reduce_on_intensities(reflection_table):
"""Select reflections successfully integrated by sum and prf methods."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SumORPrfIntensityReducer:
"""Reduction methods for data with sum or profile intensities. Reflections with valid values for either intensity type are retained."""
def reduce_on_intensities(reflection_table):
"""Select reflections successfully integrated by sum and prf methods."""
if reflec... | the_stack_v2_python_sparse | src/dials/util/filter_reflections.py | dials/dials | train | 71 |
b421b5feeca6ba51be0159db4ec5e674e2335ac6 | [
"get_request = request.query_params\nfile_name = get_request.get('file_name')\nif not file_name:\n raise InvalidParameterException('Missing one or more required query parameters: file_name')\nreturn self.get_download_status_response(file_name=file_name)",
"download_job = get_download_job(file_name)\nfile_path ... | <|body_start_0|>
get_request = request.query_params
file_name = get_request.get('file_name')
if not file_name:
raise InvalidParameterException('Missing one or more required query parameters: file_name')
return self.get_download_status_response(file_name=file_name)
<|end_body_... | This route gets the current status of a download job that that has been requested with the `v2/download/awards/` or `v2/download/transaction/` endpoint that same day. Accessed by both `v2/download/status/?file_name=""` and `v2/bulk_download/status/?file_name=""`. | DownloadStatusViewSet | [
"CC0-1.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownloadStatusViewSet:
"""This route gets the current status of a download job that that has been requested with the `v2/download/awards/` or `v2/download/transaction/` endpoint that same day. Accessed by both `v2/download/status/?file_name=""` and `v2/bulk_download/status/?file_name=""`."""
... | stack_v2_sparse_classes_75kplus_train_068154 | 2,016 | permissive | [
{
"docstring": "Obtain status for the download job matching the file name provided",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Generate download status response which encompasses various elements to provide accurate status for state of a download job",
"name": "... | 2 | null | Implement the Python class `DownloadStatusViewSet` described below.
Class description:
This route gets the current status of a download job that that has been requested with the `v2/download/awards/` or `v2/download/transaction/` endpoint that same day. Accessed by both `v2/download/status/?file_name=""` and `v2/bulk_... | Implement the Python class `DownloadStatusViewSet` described below.
Class description:
This route gets the current status of a download job that that has been requested with the `v2/download/awards/` or `v2/download/transaction/` endpoint that same day. Accessed by both `v2/download/status/?file_name=""` and `v2/bulk_... | 38f920438697930ae3ac57bbcaae9034877d8fb7 | <|skeleton|>
class DownloadStatusViewSet:
"""This route gets the current status of a download job that that has been requested with the `v2/download/awards/` or `v2/download/transaction/` endpoint that same day. Accessed by both `v2/download/status/?file_name=""` and `v2/bulk_download/status/?file_name=""`."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DownloadStatusViewSet:
"""This route gets the current status of a download job that that has been requested with the `v2/download/awards/` or `v2/download/transaction/` endpoint that same day. Accessed by both `v2/download/status/?file_name=""` and `v2/bulk_download/status/?file_name=""`."""
def get(self... | the_stack_v2_python_sparse | usaspending_api/download/v2/download_status.py | fedspendingtransparency/usaspending-api | train | 276 |
9251b2fe1bd84f36119cadde501ff41ed6d9f7c7 | [
"if not strs:\n return chr(258)\nreturn chr(257).join(strs)",
"if s == chr(258):\n return []\nreturn s.split(chr(257))"
] | <|body_start_0|>
if not strs:
return chr(258)
return chr(257).join(strs)
<|end_body_0|>
<|body_start_1|>
if s == chr(258):
return []
return s.split(chr(257))
<|end_body_1|>
| Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not st... | stack_v2_sparse_classes_75kplus_train_068155 | 2,535 | no_license | [
{
"docstring": "Encodes a list of strings to a single string.",
"name": "encode",
"signature": "def encode(self, strs: [str]) -> str"
},
{
"docstring": "Decodes a single string to a list of strings.",
"name": "decode",
"signature": "def decode(self, s: str) -> [str]"
}
] | 2 | stack_v2_sparse_classes_30k_test_001888 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, s: str) -> [str]: Decodes a single string to a list of strings. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, s: str) -> [str]: Decodes a single string to a list of strings.
<|skeleton|>
cla... | 44765a7d89423b7ec2c159f70b1a6f6e446523c2 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
if not strs:
return chr(258)
return chr(257).join(strs)
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
if s == chr(2... | the_stack_v2_python_sparse | python/_0001_0500/0271_encode-and-decode-strings.py | Wang-Yann/LeetCodeMe | train | 0 | |
9ed5a2425042d0e129ebe8034ec9ba2124835648 | [
"self.logger = policy.logger\nself.yaml = policy.main_policy['port_sets']['port_set_list'][idx]\nself.name = self.yaml['name']\nvalidate(self.logger, self.yaml, PORT_SET_SCHEMA, 'port_set')\nport_list = self.yaml['port_list']\nfor ports in port_list:\n ports['ports_xform'] = transform_ports(ports['ports'])",
"... | <|body_start_0|>
self.logger = policy.logger
self.yaml = policy.main_policy['port_sets']['port_set_list'][idx]
self.name = self.yaml['name']
validate(self.logger, self.yaml, PORT_SET_SCHEMA, 'port_set')
port_list = self.yaml['port_list']
for ports in port_list:
... | An object that represents a single port set | PortSet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PortSet:
"""An object that represents a single port set"""
def __init__(self, policy, idx):
"""Initialise the PortSet Class"""
<|body_0|>
def is_member(self, dpid, port, vlan_id=0):
"""Check to see supplied dpid/port/vlan_id is member of this port set. Returns a ... | stack_v2_sparse_classes_75kplus_train_068156 | 38,856 | permissive | [
{
"docstring": "Initialise the PortSet Class",
"name": "__init__",
"signature": "def __init__(self, policy, idx)"
},
{
"docstring": "Check to see supplied dpid/port/vlan_id is member of this port set. Returns a Boolean",
"name": "is_member",
"signature": "def is_member(self, dpid, port, ... | 2 | stack_v2_sparse_classes_30k_train_027871 | Implement the Python class `PortSet` described below.
Class description:
An object that represents a single port set
Method signatures and docstrings:
- def __init__(self, policy, idx): Initialise the PortSet Class
- def is_member(self, dpid, port, vlan_id=0): Check to see supplied dpid/port/vlan_id is member of this... | Implement the Python class `PortSet` described below.
Class description:
An object that represents a single port set
Method signatures and docstrings:
- def __init__(self, policy, idx): Initialise the PortSet Class
- def is_member(self, dpid, port, vlan_id=0): Check to see supplied dpid/port/vlan_id is member of this... | 55cc27e81defc42775ff563bfbef31800e089b14 | <|skeleton|>
class PortSet:
"""An object that represents a single port set"""
def __init__(self, policy, idx):
"""Initialise the PortSet Class"""
<|body_0|>
def is_member(self, dpid, port, vlan_id=0):
"""Check to see supplied dpid/port/vlan_id is member of this port set. Returns a ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PortSet:
"""An object that represents a single port set"""
def __init__(self, policy, idx):
"""Initialise the PortSet Class"""
self.logger = policy.logger
self.yaml = policy.main_policy['port_sets']['port_set_list'][idx]
self.name = self.yaml['name']
validate(self.... | the_stack_v2_python_sparse | nmeta/policy.py | awesome-nfv/nmeta | train | 0 |
6e677ce3ce567f282a5dacb9fe94563dbaaf4f2b | [
"if len(digits) == 0:\n return []\nd = ['', '', 'abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz']\nans = ['']\nfor digit in digits:\n temp = []\n for s in ans:\n for c in d[int(digit)]:\n temp.append(s + c)\n ans = temp\nreturn ans",
"if len(digits) == 0:\n return []\nd = ... | <|body_start_0|>
if len(digits) == 0:
return []
d = ['', '', 'abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz']
ans = ['']
for digit in digits:
temp = []
for s in ans:
for c in d[int(digit)]:
temp.append(s + c... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str] BFS: time: O(4^n), space: O(4^n * 2) since we have a temp on 18, its asymptotic length is also O(4^n) in the final round reference: https://www.youtube.com/watch?v=fLy8t33M1qQ"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_068157 | 2,300 | no_license | [
{
"docstring": ":type digits: str :rtype: List[str] BFS: time: O(4^n), space: O(4^n * 2) since we have a temp on 18, its asymptotic length is also O(4^n) in the final round reference: https://www.youtube.com/watch?v=fLy8t33M1qQ",
"name": "letterCombinations",
"signature": "def letterCombinations(self, d... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations(self, digits): :type digits: str :rtype: List[str] BFS: time: O(4^n), space: O(4^n * 2) since we have a temp on 18, its asymptotic length is also O(4^n) in... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations(self, digits): :type digits: str :rtype: List[str] BFS: time: O(4^n), space: O(4^n * 2) since we have a temp on 18, its asymptotic length is also O(4^n) in... | 9746205998338fb4d7fd51300a21149c4181fc8f | <|skeleton|>
class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str] BFS: time: O(4^n), space: O(4^n * 2) since we have a temp on 18, its asymptotic length is also O(4^n) in the final round reference: https://www.youtube.com/watch?v=fLy8t33M1qQ"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str] BFS: time: O(4^n), space: O(4^n * 2) since we have a temp on 18, its asymptotic length is also O(4^n) in the final round reference: https://www.youtube.com/watch?v=fLy8t33M1qQ"""
if len(digits) == 0:
... | the_stack_v2_python_sparse | leetcode/search/1_letter_combination_phone_number.py | RuizhenMai/academic-blog | train | 0 | |
464ebe7a98f4f90c7f2111d2f6a6d123f7a0eba4 | [
"super().__init__()\nself.num_fields = num_fields\nself.transforms = transforms\nself.length = 1",
"if inputs.dim() == 2:\n inputs = inputs.unsqueeze(dim=-1)\nif self.transforms:\n inputs = self.transforms(inputs)\ninputs.names = ('B', 'N', 'E')\nreturn inputs"
] | <|body_start_0|>
super().__init__()
self.num_fields = num_fields
self.transforms = transforms
self.length = 1
<|end_body_0|>
<|body_start_1|>
if inputs.dim() == 2:
inputs = inputs.unsqueeze(dim=-1)
if self.transforms:
inputs = self.transforms(inpu... | Base Input class for value to be passed directly. | ValueInput | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValueInput:
"""Base Input class for value to be passed directly."""
def __init__(self, num_fields: int, transforms: Optional[Callable]=None):
"""Initialize ValueInput Args: num_fields (int): Number of inputs' fields."""
<|body_0|>
def forward(self, inputs: torch.Tensor) ... | stack_v2_sparse_classes_75kplus_train_068158 | 1,059 | permissive | [
{
"docstring": "Initialize ValueInput Args: num_fields (int): Number of inputs' fields.",
"name": "__init__",
"signature": "def __init__(self, num_fields: int, transforms: Optional[Callable]=None)"
},
{
"docstring": "Forward calculation of ValueInput. Args: inputs (T), shape = (B, N): Tensor of ... | 2 | null | Implement the Python class `ValueInput` described below.
Class description:
Base Input class for value to be passed directly.
Method signatures and docstrings:
- def __init__(self, num_fields: int, transforms: Optional[Callable]=None): Initialize ValueInput Args: num_fields (int): Number of inputs' fields.
- def forw... | Implement the Python class `ValueInput` described below.
Class description:
Base Input class for value to be passed directly.
Method signatures and docstrings:
- def __init__(self, num_fields: int, transforms: Optional[Callable]=None): Initialize ValueInput Args: num_fields (int): Number of inputs' fields.
- def forw... | 751a43b9cd35e951d81c0d9cf46507b1777bb7ff | <|skeleton|>
class ValueInput:
"""Base Input class for value to be passed directly."""
def __init__(self, num_fields: int, transforms: Optional[Callable]=None):
"""Initialize ValueInput Args: num_fields (int): Number of inputs' fields."""
<|body_0|>
def forward(self, inputs: torch.Tensor) ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ValueInput:
"""Base Input class for value to be passed directly."""
def __init__(self, num_fields: int, transforms: Optional[Callable]=None):
"""Initialize ValueInput Args: num_fields (int): Number of inputs' fields."""
super().__init__()
self.num_fields = num_fields
self.... | the_stack_v2_python_sparse | torecsys/inputs/base/value_inp.py | p768lwy3/torecsys | train | 98 |
82a930f739e72f6da303b4cfa3f015d7718d3ce3 | [
"assert features.is_contiguous()\nassert indices.is_contiguous()\nassert weight.is_contiguous()\nB, c, m = features.size()\nn = indices.size(1)\nctx.three_interpolate_for_backward = (indices, weight, m)\noutput = features.new_empty(B, c, n)\next_module.three_interpolate_forward(features, indices, weight, output, b=... | <|body_start_0|>
assert features.is_contiguous()
assert indices.is_contiguous()
assert weight.is_contiguous()
B, c, m = features.size()
n = indices.size(1)
ctx.three_interpolate_for_backward = (indices, weight, m)
output = features.new_empty(B, c, n)
ext_m... | Performs weighted linear interpolation on 3 features. Please refer to `Paper of PointNet++ <https://arxiv.org/abs/1706.02413>`_ for more details. | ThreeInterpolate | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreeInterpolate:
"""Performs weighted linear interpolation on 3 features. Please refer to `Paper of PointNet++ <https://arxiv.org/abs/1706.02413>`_ for more details."""
def forward(ctx: Any, features: torch.Tensor, indices: torch.Tensor, weight: torch.Tensor) -> torch.Tensor:
"""Arg... | stack_v2_sparse_classes_75kplus_train_068159 | 2,240 | permissive | [
{
"docstring": "Args: features (torch.Tensor): (B, C, M) Features descriptors to be interpolated. indices (torch.Tensor): (B, n, 3) indices of three nearest neighbor features for the target features. weight (torch.Tensor): (B, n, 3) weights of three nearest neighbor features for the target features. Returns: to... | 2 | stack_v2_sparse_classes_30k_train_016958 | Implement the Python class `ThreeInterpolate` described below.
Class description:
Performs weighted linear interpolation on 3 features. Please refer to `Paper of PointNet++ <https://arxiv.org/abs/1706.02413>`_ for more details.
Method signatures and docstrings:
- def forward(ctx: Any, features: torch.Tensor, indices:... | Implement the Python class `ThreeInterpolate` described below.
Class description:
Performs weighted linear interpolation on 3 features. Please refer to `Paper of PointNet++ <https://arxiv.org/abs/1706.02413>`_ for more details.
Method signatures and docstrings:
- def forward(ctx: Any, features: torch.Tensor, indices:... | 6e9ee26718b22961d5c34caca4108413b1b7b3af | <|skeleton|>
class ThreeInterpolate:
"""Performs weighted linear interpolation on 3 features. Please refer to `Paper of PointNet++ <https://arxiv.org/abs/1706.02413>`_ for more details."""
def forward(ctx: Any, features: torch.Tensor, indices: torch.Tensor, weight: torch.Tensor) -> torch.Tensor:
"""Arg... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThreeInterpolate:
"""Performs weighted linear interpolation on 3 features. Please refer to `Paper of PointNet++ <https://arxiv.org/abs/1706.02413>`_ for more details."""
def forward(ctx: Any, features: torch.Tensor, indices: torch.Tensor, weight: torch.Tensor) -> torch.Tensor:
"""Args: features (... | the_stack_v2_python_sparse | mmcv/ops/three_interpolate.py | open-mmlab/mmcv | train | 5,319 |
c3a38c921925b5fe392567fc06a3419bdc8ee4d0 | [
"try:\n obj_kwargs = kwargs.copy()\n obj_kwargs[self.uri_object_key] = object_id\n review_request = resources.review_request.get_object(request, *args, **obj_kwargs)\n user = resources.user.get_object(request, *args, **kwargs)\nexcept (ReviewRequest.DoesNotExist, User.DoesNotExist):\n return DOES_NOT... | <|body_start_0|>
try:
obj_kwargs = kwargs.copy()
obj_kwargs[self.uri_object_key] = object_id
review_request = resources.review_request.get_object(request, *args, **obj_kwargs)
user = resources.user.get_object(request, *args, **kwargs)
except (ReviewRequest... | A base resource for objects archived or muted by a user. | BaseArchivedObjectResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseArchivedObjectResource:
"""A base resource for objects archived or muted by a user."""
def create(self, request, object_id, *args, **kwargs):
"""Handle HTTP POST operations."""
<|body_0|>
def delete(self, request, review_request_id, *args, **kwargs):
"""Handl... | stack_v2_sparse_classes_75kplus_train_068160 | 3,181 | permissive | [
{
"docstring": "Handle HTTP POST operations.",
"name": "create",
"signature": "def create(self, request, object_id, *args, **kwargs)"
},
{
"docstring": "Handle HTTP DELETE operations.",
"name": "delete",
"signature": "def delete(self, request, review_request_id, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_test_002187 | Implement the Python class `BaseArchivedObjectResource` described below.
Class description:
A base resource for objects archived or muted by a user.
Method signatures and docstrings:
- def create(self, request, object_id, *args, **kwargs): Handle HTTP POST operations.
- def delete(self, request, review_request_id, *a... | Implement the Python class `BaseArchivedObjectResource` described below.
Class description:
A base resource for objects archived or muted by a user.
Method signatures and docstrings:
- def create(self, request, object_id, *args, **kwargs): Handle HTTP POST operations.
- def delete(self, request, review_request_id, *a... | c3a991f1e9d7682239a1ab0e8661cee6da01d537 | <|skeleton|>
class BaseArchivedObjectResource:
"""A base resource for objects archived or muted by a user."""
def create(self, request, object_id, *args, **kwargs):
"""Handle HTTP POST operations."""
<|body_0|>
def delete(self, request, review_request_id, *args, **kwargs):
"""Handl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseArchivedObjectResource:
"""A base resource for objects archived or muted by a user."""
def create(self, request, object_id, *args, **kwargs):
"""Handle HTTP POST operations."""
try:
obj_kwargs = kwargs.copy()
obj_kwargs[self.uri_object_key] = object_id
... | the_stack_v2_python_sparse | reviewboard/webapi/resources/base_archived_object.py | reviewboard/reviewboard | train | 1,141 |
c6880af19233a48abb697f13caf1fbedc4ae6fb5 | [
"if not request.user.id:\n return BackstageHTTPResponse(code=BackstageHTTPResponse.API_HTTP_CODE_NOT_LOGIN_ERR).to_response()\nvarieties_id = request.GET.get('varieties_id', None)\nformulas = Formula.objects.filter(Q(user_id=None) | Q(user_id=request.user.id))\nif varieties_id:\n formulas = formulas.filter(id... | <|body_start_0|>
if not request.user.id:
return BackstageHTTPResponse(code=BackstageHTTPResponse.API_HTTP_CODE_NOT_LOGIN_ERR).to_response()
varieties_id = request.GET.get('varieties_id', None)
formulas = Formula.objects.filter(Q(user_id=None) | Q(user_id=request.user.id))
if ... | UserSubscriptionFormulaListAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSubscriptionFormulaListAPI:
def get(self, request, *args, **kwargs):
"""用户的公式订阅情况 --- parameters: - name: varieties_id description: 品类 id type: integer paramType: query required: false - name: index description: 页数 type: integer paramType: query required: false - name: number descrip... | stack_v2_sparse_classes_75kplus_train_068161 | 18,230 | no_license | [
{
"docstring": "用户的公式订阅情况 --- parameters: - name: varieties_id description: 品类 id type: integer paramType: query required: false - name: index description: 页数 type: integer paramType: query required: false - name: number description: 每页条数 type: integer paramType: query required: false",
"name": "get",
"... | 2 | null | Implement the Python class `UserSubscriptionFormulaListAPI` described below.
Class description:
Implement the UserSubscriptionFormulaListAPI class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 用户的公式订阅情况 --- parameters: - name: varieties_id description: 品类 id type: integer paramType: qu... | Implement the Python class `UserSubscriptionFormulaListAPI` described below.
Class description:
Implement the UserSubscriptionFormulaListAPI class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 用户的公式订阅情况 --- parameters: - name: varieties_id description: 品类 id type: integer paramType: qu... | c50def8cde58fd4663032b860eb058302cbac6da | <|skeleton|>
class UserSubscriptionFormulaListAPI:
def get(self, request, *args, **kwargs):
"""用户的公式订阅情况 --- parameters: - name: varieties_id description: 品类 id type: integer paramType: query required: false - name: index description: 页数 type: integer paramType: query required: false - name: number descrip... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserSubscriptionFormulaListAPI:
def get(self, request, *args, **kwargs):
"""用户的公式订阅情况 --- parameters: - name: varieties_id description: 品类 id type: integer paramType: query required: false - name: index description: 页数 type: integer paramType: query required: false - name: number description: 每页条数 typ... | the_stack_v2_python_sparse | src/api/user/views.py | fan1018wen/Alpha | train | 0 | |
3a84a7d819f55a709b6ae15f23d6dc7cf4851a43 | [
"user = request.user\ntry:\n profile_serializer = ProfileSerializer(user.profile)\n return Response(profile_serializer.data)\nexcept:\n return Response({'message': 'Nothing here.'})",
"try:\n profile = Profile.objects.get(user=request.user)\nexcept:\n profile = Profile.objects.create(user=request.u... | <|body_start_0|>
user = request.user
try:
profile_serializer = ProfileSerializer(user.profile)
return Response(profile_serializer.data)
except:
return Response({'message': 'Nothing here.'})
<|end_body_0|>
<|body_start_1|>
try:
profile = Pr... | An extension of the User model for custom logic about the user. | ProfileDetail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProfileDetail:
"""An extension of the User model for custom logic about the user."""
def get(self, request, *args, **kwargs):
"""Get the User profile information, if it exists."""
<|body_0|>
def post(self, request, format=None):
"""Get or create a user Profile an... | stack_v2_sparse_classes_75kplus_train_068162 | 1,903 | no_license | [
{
"docstring": "Get the User profile information, if it exists.",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Get or create a user Profile and modify it.",
"name": "post",
"signature": "def post(self, request, format=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016662 | Implement the Python class `ProfileDetail` described below.
Class description:
An extension of the User model for custom logic about the user.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Get the User profile information, if it exists.
- def post(self, request, format=None): Get or cre... | Implement the Python class `ProfileDetail` described below.
Class description:
An extension of the User model for custom logic about the user.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Get the User profile information, if it exists.
- def post(self, request, format=None): Get or cre... | d04b8d9826c74454e28cdf7282bdcba693e52b67 | <|skeleton|>
class ProfileDetail:
"""An extension of the User model for custom logic about the user."""
def get(self, request, *args, **kwargs):
"""Get the User profile information, if it exists."""
<|body_0|>
def post(self, request, format=None):
"""Get or create a user Profile an... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProfileDetail:
"""An extension of the User model for custom logic about the user."""
def get(self, request, *args, **kwargs):
"""Get the User profile information, if it exists."""
user = request.user
try:
profile_serializer = ProfileSerializer(user.profile)
... | the_stack_v2_python_sparse | api/users/views.py | johnckealy/flora | train | 0 |
148654ee9d4cb62d3c338266442bed1546e41d41 | [
"if not matrix:\n return 0\nheights = [0] * len(matrix[0])\nresult = 0\nfor row in matrix:\n for i, v in enumerate(row):\n if v == '0':\n heights[i] = 0\n if v == '1':\n heights[i] += 1\n result = max(result, self.largestRectangleArea(heights))\nreturn result",
"stack ... | <|body_start_0|>
if not matrix:
return 0
heights = [0] * len(matrix[0])
result = 0
for row in matrix:
for i, v in enumerate(row):
if v == '0':
heights[i] = 0
if v == '1':
heights[i] += 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_0|>
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not matrix:
... | stack_v2_sparse_classes_75kplus_train_068163 | 1,488 | no_license | [
{
"docstring": ":type matrix: List[List[str]] :rtype: int",
"name": "maximalRectangle",
"signature": "def maximalRectangle(self, matrix)"
},
{
"docstring": ":type heights: List[int] :rtype: int",
"name": "largestRectangleArea",
"signature": "def largestRectangleArea(self, heights)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
<|skeleton|>
class ... | bfd16678f179bbfc7564bfc079d2fa4b3e554be6 | <|skeleton|>
class Solution:
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_0|>
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
if not matrix:
return 0
heights = [0] * len(matrix[0])
result = 0
for row in matrix:
for i, v in enumerate(row):
if v == '0':
... | the_stack_v2_python_sparse | Stack/maximum-rectangle.py | HeliWang/upstream | train | 0 | |
368888fb1e64c4db439ab918cff26e087df5c3cc | [
"logging.debug('Page Parse started on:{}'.format(response.url))\ntitles = response.xpath('//a[contains(@href,\"/s/\")]')\nfor title in titles:\n item = items.MonkPageItem()\n title_text = title.xpath('text()').extract()[0]\n title_url = response.urljoin(title.xpath('@href').extract()[0])\n item['url'] =... | <|body_start_0|>
logging.debug('Page Parse started on:{}'.format(response.url))
titles = response.xpath('//a[contains(@href,"/s/")]')
for title in titles:
item = items.MonkPageItem()
title_text = title.xpath('text()').extract()[0]
title_url = response.urljoin(... | FanfictionSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FanfictionSpider:
def parse_page(self, response):
""":rtype: object :param response:"""
<|body_0|>
def parse_story_page(self, response):
""":param response: :rtype: MonkStoryItem"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
logging.debug('Page Pa... | stack_v2_sparse_classes_75kplus_train_068164 | 2,963 | no_license | [
{
"docstring": ":rtype: object :param response:",
"name": "parse_page",
"signature": "def parse_page(self, response)"
},
{
"docstring": ":param response: :rtype: MonkStoryItem",
"name": "parse_story_page",
"signature": "def parse_story_page(self, response)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018919 | Implement the Python class `FanfictionSpider` described below.
Class description:
Implement the FanfictionSpider class.
Method signatures and docstrings:
- def parse_page(self, response): :rtype: object :param response:
- def parse_story_page(self, response): :param response: :rtype: MonkStoryItem | Implement the Python class `FanfictionSpider` described below.
Class description:
Implement the FanfictionSpider class.
Method signatures and docstrings:
- def parse_page(self, response): :rtype: object :param response:
- def parse_story_page(self, response): :param response: :rtype: MonkStoryItem
<|skeleton|>
class... | 54ca3becfc3ddd1002f2e0fed51061e4f5872dc3 | <|skeleton|>
class FanfictionSpider:
def parse_page(self, response):
""":rtype: object :param response:"""
<|body_0|>
def parse_story_page(self, response):
""":param response: :rtype: MonkStoryItem"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FanfictionSpider:
def parse_page(self, response):
""":rtype: object :param response:"""
logging.debug('Page Parse started on:{}'.format(response.url))
titles = response.xpath('//a[contains(@href,"/s/")]')
for title in titles:
item = items.MonkPageItem()
... | the_stack_v2_python_sparse | lib/Monk/Monk/spiders/fan_spider.py | geekman2/GutenTag | train | 3 | |
fef62df2b73ea735ce349933973ceeeb86e52ccc | [
"super(self.__class__, self).__init__(source=source)\nself.provides = dict(source.provides)\nself.time_source = time_source",
"gen = iter(self.source)\n\ndef _append(zult, simple_frame):\n for key in self.provides.keys():\n zult[key].append(simple_frame[key])\nframe = next(gen)\nfor timeframe in self.ti... | <|body_start_0|>
super(self.__class__, self).__init__(source=source)
self.provides = dict(source.provides)
self.time_source = time_source
<|end_body_0|>
<|body_start_1|>
gen = iter(self.source)
def _append(zult, simple_frame):
for key in self.provides.keys():
... | Accumulate simple frames to follow a timestream being provided | AccumlateSimpleFramesFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccumlateSimpleFramesFilter:
"""Accumulate simple frames to follow a timestream being provided"""
def __init__(self, time_source, source, **kwargs):
""":param time_source: time-frame source :param source: data-frame source holding only simple (single-timestep) frames :param kwargs:""... | stack_v2_sparse_classes_75kplus_train_068165 | 11,464 | no_license | [
{
"docstring": ":param time_source: time-frame source :param source: data-frame source holding only simple (single-timestep) frames :param kwargs:",
"name": "__init__",
"signature": "def __init__(self, time_source, source, **kwargs)"
},
{
"docstring": "Iterate through time_source For each data f... | 2 | null | Implement the Python class `AccumlateSimpleFramesFilter` described below.
Class description:
Accumulate simple frames to follow a timestream being provided
Method signatures and docstrings:
- def __init__(self, time_source, source, **kwargs): :param time_source: time-frame source :param source: data-frame source hold... | Implement the Python class `AccumlateSimpleFramesFilter` described below.
Class description:
Accumulate simple frames to follow a timestream being provided
Method signatures and docstrings:
- def __init__(self, time_source, source, **kwargs): :param time_source: time-frame source :param source: data-frame source hold... | 32741e8fe1313ff8785029165bef31347cc2a3c3 | <|skeleton|>
class AccumlateSimpleFramesFilter:
"""Accumulate simple frames to follow a timestream being provided"""
def __init__(self, time_source, source, **kwargs):
""":param time_source: time-frame source :param source: data-frame source holding only simple (single-timestep) frames :param kwargs:""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AccumlateSimpleFramesFilter:
"""Accumulate simple frames to follow a timestream being provided"""
def __init__(self, time_source, source, **kwargs):
""":param time_source: time-frame source :param source: data-frame source holding only simple (single-timestep) frames :param kwargs:"""
sup... | the_stack_v2_python_sparse | DplKit/python/dplkit/simple/filter.py | rayg-ssec/DplTools | train | 0 |
2b127c3da67e6a7e5061ae90c5e4ac381b1b4a87 | [
"@suppress_warnings\ndef func():\n warn('this is a warning!')\nwith catch_warnings(record=True) as warning_list:\n func()\nself.assertEqual(warning_list, [])",
"@suppress_warnings\ndef func_with_name():\n \"\"\"and docstring\"\"\"\nself.assertEqual(func_with_name.__name__, 'func_with_name')\nself.assertE... | <|body_start_0|>
@suppress_warnings
def func():
warn('this is a warning!')
with catch_warnings(record=True) as warning_list:
func()
self.assertEqual(warning_list, [])
<|end_body_0|>
<|body_start_1|>
@suppress_warnings
def func_with_name():
... | SuppressWarningTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SuppressWarningTests:
def test_suppress_warnings_works(self):
"""suppress_warnings() hides all warnings"""
<|body_0|>
def test_suppress_warnings_is_a_good_decorator(self):
"""suppress_warnings() does not clobber function name and docstring"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_068166 | 2,724 | no_license | [
{
"docstring": "suppress_warnings() hides all warnings",
"name": "test_suppress_warnings_works",
"signature": "def test_suppress_warnings_works(self)"
},
{
"docstring": "suppress_warnings() does not clobber function name and docstring",
"name": "test_suppress_warnings_is_a_good_decorator",
... | 2 | stack_v2_sparse_classes_30k_train_054646 | Implement the Python class `SuppressWarningTests` described below.
Class description:
Implement the SuppressWarningTests class.
Method signatures and docstrings:
- def test_suppress_warnings_works(self): suppress_warnings() hides all warnings
- def test_suppress_warnings_is_a_good_decorator(self): suppress_warnings()... | Implement the Python class `SuppressWarningTests` described below.
Class description:
Implement the SuppressWarningTests class.
Method signatures and docstrings:
- def test_suppress_warnings_works(self): suppress_warnings() hides all warnings
- def test_suppress_warnings_is_a_good_decorator(self): suppress_warnings()... | 78aa82cdb35808988214329b3b1aabcc2d1a5e01 | <|skeleton|>
class SuppressWarningTests:
def test_suppress_warnings_works(self):
"""suppress_warnings() hides all warnings"""
<|body_0|>
def test_suppress_warnings_is_a_good_decorator(self):
"""suppress_warnings() does not clobber function name and docstring"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SuppressWarningTests:
def test_suppress_warnings_works(self):
"""suppress_warnings() hides all warnings"""
@suppress_warnings
def func():
warn('this is a warning!')
with catch_warnings(record=True) as warning_list:
func()
self.assertEqual(warning... | the_stack_v2_python_sparse | venv/lib/python3.6/site-packages/plainbox/impl/test_testing_utils.py | utkarshyadavin/CloudMarks | train | 0 | |
943389a3e3862396f4192eebec9b3491ad2ccb19 | [
"length = len(s)\nf = [False for i in range(length + 1)]\nf[0] = True\nfor i in range(length):\n for j in range(i + 1, length + 1):\n if f[i] and s[i:j] in word_dict:\n f[j] = True\nreturn f[length]",
"length = len(s)\nf = [False for i in range(length + 1)]\nf[0] = True\nfor i in range(1, len... | <|body_start_0|>
length = len(s)
f = [False for i in range(length + 1)]
f[0] = True
for i in range(length):
for j in range(i + 1, length + 1):
if f[i] and s[i:j] in word_dict:
f[j] = True
return f[length]
<|end_body_0|>
<|body_star... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def word_break(self, s: str, word_dict: List[str]) -> bool:
"""判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值"""
<|body_0|>
def word_break2(self, s: str, word_dict: List[str]) -> bool:
"""判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值"""... | stack_v2_sparse_classes_75kplus_train_068167 | 2,675 | permissive | [
{
"docstring": "判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值",
"name": "word_break",
"signature": "def word_break(self, s: str, word_dict: List[str]) -> bool"
},
{
"docstring": "判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值",
"name": "word_break2",
"signature": "de... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def word_break(self, s: str, word_dict: List[str]) -> bool: 判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值
- def word_break2(self, s: str, word_dict: List[str]) -> bool... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def word_break(self, s: str, word_dict: List[str]) -> bool: 判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值
- def word_break2(self, s: str, word_dict: List[str]) -> bool... | 50f35eef6a0ad63173efed10df3c835b1dceaa3f | <|skeleton|>
class Solution:
def word_break(self, s: str, word_dict: List[str]) -> bool:
"""判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值"""
<|body_0|>
def word_break2(self, s: str, word_dict: List[str]) -> bool:
"""判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def word_break(self, s: str, word_dict: List[str]) -> bool:
"""判断一个单词是不是分成这个数组 Args: s: 字符串 word_dict: 字符表 Returns: 布尔值"""
length = len(s)
f = [False for i in range(length + 1)]
f[0] = True
for i in range(length):
for j in range(i + 1, length + 1):... | the_stack_v2_python_sparse | src/leetcodepython/string/word_break_139.py | zhangyu345293721/leetcode | train | 101 | |
6ebffe4efca66e88ff842b505da6aa9e4ae2cd56 | [
"if SINGLE_DB_NAME:\n return SINGLE_DB_NAME\nif cls.database_name is None:\n raise AttributeError(f'Define `database_name` as class variable for {cls.__qualname__}.')\nreturn cls.database_name",
"if cls.collection_name is None:\n raise AttributeError(f'Define `collection_name` as class variable for {cls.... | <|body_start_0|>
if SINGLE_DB_NAME:
return SINGLE_DB_NAME
if cls.database_name is None:
raise AttributeError(f'Define `database_name` as class variable for {cls.__qualname__}.')
return cls.database_name
<|end_body_0|>
<|body_start_1|>
if cls.collection_name is No... | Mixin to force the user specify the collection properties. | CollectionPropertiesMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CollectionPropertiesMixin:
"""Mixin to force the user specify the collection properties."""
def get_db_name(cls):
"""Get the database name (defined as class variable ``database_name``) of the collection. If single-db is in effect, return the name of the single-db instead. :return: da... | stack_v2_sparse_classes_75kplus_train_068168 | 2,411 | permissive | [
{
"docstring": "Get the database name (defined as class variable ``database_name``) of the collection. If single-db is in effect, return the name of the single-db instead. :return: database name of the collection :raises AttributeError: if `database_name` is undefined or `None`",
"name": "get_db_name",
... | 3 | stack_v2_sparse_classes_30k_val_002918 | Implement the Python class `CollectionPropertiesMixin` described below.
Class description:
Mixin to force the user specify the collection properties.
Method signatures and docstrings:
- def get_db_name(cls): Get the database name (defined as class variable ``database_name``) of the collection. If single-db is in effe... | Implement the Python class `CollectionPropertiesMixin` described below.
Class description:
Mixin to force the user specify the collection properties.
Method signatures and docstrings:
- def get_db_name(cls): Get the database name (defined as class variable ``database_name``) of the collection. If single-db is in effe... | c7da1e91783dce3a2b71b955b3a22b68db9056cf | <|skeleton|>
class CollectionPropertiesMixin:
"""Mixin to force the user specify the collection properties."""
def get_db_name(cls):
"""Get the database name (defined as class variable ``database_name``) of the collection. If single-db is in effect, return the name of the single-db instead. :return: da... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CollectionPropertiesMixin:
"""Mixin to force the user specify the collection properties."""
def get_db_name(cls):
"""Get the database name (defined as class variable ``database_name``) of the collection. If single-db is in effect, return the name of the single-db instead. :return: database name o... | the_stack_v2_python_sparse | mongodb/factory/mixin/prop.py | RxJellyBot/Jelly-Bot | train | 5 |
a0b4907783fdf36bd373af68cc3e1ba41536293a | [
"assert video_stream is not None, 'Video Streaming must be provided'\nassert issubclass(type(video_stream), BaseVideoStream), 'Video streamer must be subclass of BaseVideoStream'\nassert object_estimator is not None, 'Object estimator must be provided'\nassert issubclass(type(object_estimator), BaseObjectEstimator)... | <|body_start_0|>
assert video_stream is not None, 'Video Streaming must be provided'
assert issubclass(type(video_stream), BaseVideoStream), 'Video streamer must be subclass of BaseVideoStream'
assert object_estimator is not None, 'Object estimator must be provided'
assert issubclass(typ... | App | CameraApp | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CameraApp:
"""App"""
def __init__(self, video_stream, object_estimator, app_logger=None, app_timer_logger=None, window_size_secs=5, pubsub_publisher=None, pubsub_topic=None):
"""Constructor Args: ``video_stream`` (object): ``object_estimator`` (object): ``app_logger`` (:class:`~utils... | stack_v2_sparse_classes_75kplus_train_068169 | 5,482 | permissive | [
{
"docstring": "Constructor Args: ``video_stream`` (object): ``object_estimator`` (object): ``app_logger`` (:class:`~utils.BigQueryConn`): BigQuery Connector ``window_size_secs``: Time window to make estimation",
"name": "__init__",
"signature": "def __init__(self, video_stream, object_estimator, app_lo... | 3 | stack_v2_sparse_classes_30k_val_000734 | Implement the Python class `CameraApp` described below.
Class description:
App
Method signatures and docstrings:
- def __init__(self, video_stream, object_estimator, app_logger=None, app_timer_logger=None, window_size_secs=5, pubsub_publisher=None, pubsub_topic=None): Constructor Args: ``video_stream`` (object): ``ob... | Implement the Python class `CameraApp` described below.
Class description:
App
Method signatures and docstrings:
- def __init__(self, video_stream, object_estimator, app_logger=None, app_timer_logger=None, window_size_secs=5, pubsub_publisher=None, pubsub_topic=None): Constructor Args: ``video_stream`` (object): ``ob... | 3f537ea40ceefdcf5f3044b6931bfa3951c351f7 | <|skeleton|>
class CameraApp:
"""App"""
def __init__(self, video_stream, object_estimator, app_logger=None, app_timer_logger=None, window_size_secs=5, pubsub_publisher=None, pubsub_topic=None):
"""Constructor Args: ``video_stream`` (object): ``object_estimator`` (object): ``app_logger`` (:class:`~utils... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CameraApp:
"""App"""
def __init__(self, video_stream, object_estimator, app_logger=None, app_timer_logger=None, window_size_secs=5, pubsub_publisher=None, pubsub_topic=None):
"""Constructor Args: ``video_stream`` (object): ``object_estimator`` (object): ``app_logger`` (:class:`~utils.BigQueryConn... | the_stack_v2_python_sparse | tracking2/apps/tracker_counter.py | brungcm/health-hack-2019 | train | 0 |
8096c7179022f8197dcd55b2e77397c06d6f9574 | [
"self.directory = tempfile.mkdtemp(TestRecipyBase.__name__)\nself.original_script = os.path.join(os.path.dirname(__file__), TestRecipyBase.SCRIPT_NAME)\nself.script = os.path.join(self.directory, TestRecipyBase.SCRIPT_NAME)\nshutil.copy(self.original_script, self.script)\nself.input_file = os.path.join(self.directo... | <|body_start_0|>
self.directory = tempfile.mkdtemp(TestRecipyBase.__name__)
self.original_script = os.path.join(os.path.dirname(__file__), TestRecipyBase.SCRIPT_NAME)
self.script = os.path.join(self.directory, TestRecipyBase.SCRIPT_NAME)
shutil.copy(self.original_script, self.script)
... | Base class for recipy tests. | TestRecipyBase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRecipyBase:
"""Base class for recipy tests."""
def setup_method(self, method):
"""py.test setup function, creates test directory in $TEMP, initialises it as a Git repository, copies SCRIPT_NAME to it, creates input file, and commits SCRIPT_NAME. Note: this function defines member... | stack_v2_sparse_classes_75kplus_train_068170 | 3,367 | permissive | [
{
"docstring": "py.test setup function, creates test directory in $TEMP, initialises it as a Git repository, copies SCRIPT_NAME to it, creates input file, and commits SCRIPT_NAME. Note: this function defines member variables self.directory, self.script, self.original_script, self.input_file and self.output_file... | 2 | null | Implement the Python class `TestRecipyBase` described below.
Class description:
Base class for recipy tests.
Method signatures and docstrings:
- def setup_method(self, method): py.test setup function, creates test directory in $TEMP, initialises it as a Git repository, copies SCRIPT_NAME to it, creates input file, an... | Implement the Python class `TestRecipyBase` described below.
Class description:
Base class for recipy tests.
Method signatures and docstrings:
- def setup_method(self, method): py.test setup function, creates test directory in $TEMP, initialises it as a Git repository, copies SCRIPT_NAME to it, creates input file, an... | d8f8fe8ace3659f1d700bb454e68a8db453e84f4 | <|skeleton|>
class TestRecipyBase:
"""Base class for recipy tests."""
def setup_method(self, method):
"""py.test setup function, creates test directory in $TEMP, initialises it as a Git repository, copies SCRIPT_NAME to it, creates input file, and commits SCRIPT_NAME. Note: this function defines member... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestRecipyBase:
"""Base class for recipy tests."""
def setup_method(self, method):
"""py.test setup function, creates test directory in $TEMP, initialises it as a Git repository, copies SCRIPT_NAME to it, creates input file, and commits SCRIPT_NAME. Note: this function defines member variables se... | the_stack_v2_python_sparse | integration_test/test_recipy_base.py | fakegit/recipy | train | 0 |
da9302d0f79550134f36f63fe32f9f12f72d4ce6 | [
"for name in self.success_urls:\n if name in form.data:\n self.success_url = self.success_urls[name]\n break\nreturn HttpResponseRedirect(self.get_success_url())",
"if self.success_url:\n url = force_text(self.success_url)\nelse:\n raise ImproperlyConfigured(_('No URL to redirect to. Provid... | <|body_start_0|>
for name in self.success_urls:
if name in form.data:
self.success_url = self.success_urls[name]
break
return HttpResponseRedirect(self.get_success_url())
<|end_body_0|>
<|body_start_1|>
if self.success_url:
url = force_tex... | A mixin that supports submit-specific success redirection. Either specify one success_url, or provide dict with names of submit actions given in template as keys Example: In template: <input type="submit" name="create_new" value="Create"/> <input type="submit" name="delete" value="Delete"/> View: MyMultiSubmitView(Mult... | MultiRedirectMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiRedirectMixin:
"""A mixin that supports submit-specific success redirection. Either specify one success_url, or provide dict with names of submit actions given in template as keys Example: In template: <input type="submit" name="create_new" value="Create"/> <input type="submit" name="delete"... | stack_v2_sparse_classes_75kplus_train_068171 | 1,344 | no_license | [
{
"docstring": "Form is valid: Pick the url and redirect.",
"name": "form_valid",
"signature": "def form_valid(self, form)"
},
{
"docstring": "Returns the supplied success URL.",
"name": "get_success_url",
"signature": "def get_success_url(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034562 | Implement the Python class `MultiRedirectMixin` described below.
Class description:
A mixin that supports submit-specific success redirection. Either specify one success_url, or provide dict with names of submit actions given in template as keys Example: In template: <input type="submit" name="create_new" value="Creat... | Implement the Python class `MultiRedirectMixin` described below.
Class description:
A mixin that supports submit-specific success redirection. Either specify one success_url, or provide dict with names of submit actions given in template as keys Example: In template: <input type="submit" name="create_new" value="Creat... | df662e8f1110fd0ae3a90549bd6f54d2ee6b04be | <|skeleton|>
class MultiRedirectMixin:
"""A mixin that supports submit-specific success redirection. Either specify one success_url, or provide dict with names of submit actions given in template as keys Example: In template: <input type="submit" name="create_new" value="Create"/> <input type="submit" name="delete"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiRedirectMixin:
"""A mixin that supports submit-specific success redirection. Either specify one success_url, or provide dict with names of submit actions given in template as keys Example: In template: <input type="submit" name="create_new" value="Create"/> <input type="submit" name="delete" value="Delet... | the_stack_v2_python_sparse | catalogue/mixins.py | csdbrass/CSDLibrary | train | 0 |
f88b3a9fa2d468104ababa88ab717b6405bf783d | [
"def rserialize(root: TreeNode, string: str):\n if not root:\n string += 'None,'\n else:\n string += str(root.val) + ','\n string += rserialize(root.left, string)\n string += rserialize(root.right, string)\n return string\nreturn rserialize(root, '')",
"def rdeserialize(tree: ... | <|body_start_0|>
def rserialize(root: TreeNode, string: str):
if not root:
string += 'None,'
else:
string += str(root.val) + ','
string += rserialize(root.left, string)
string += rserialize(root.right, string)
re... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string. Time Complexity: O(N) Space Complexity: O(N) :param root: :return:"""
<|body_0|>
def deserialize(self, data: str):
"""Decodes encoded data to tree. Time Complexity: O(N) Space Co... | stack_v2_sparse_classes_75kplus_train_068172 | 1,331 | no_license | [
{
"docstring": "Encodes a tree to a single string. Time Complexity: O(N) Space Complexity: O(N) :param root: :return:",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes encoded data to tree. Time Complexity: O(N) Space Complexity: O(N) :pa... | 2 | stack_v2_sparse_classes_30k_train_051744 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string. Time Complexity: O(N) Space Complexity: O(N) :param root: :return:
- def deserialize(self, data: str): De... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string. Time Complexity: O(N) Space Complexity: O(N) :param root: :return:
- def deserialize(self, data: str): De... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string. Time Complexity: O(N) Space Complexity: O(N) :param root: :return:"""
<|body_0|>
def deserialize(self, data: str):
"""Decodes encoded data to tree. Time Complexity: O(N) Space Co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string. Time Complexity: O(N) Space Complexity: O(N) :param root: :return:"""
def rserialize(root: TreeNode, string: str):
if not root:
string += 'None,'
else:
... | the_stack_v2_python_sparse | expedia/serialize_and_deserialize_tree.py | Shiv2157k/leet_code | train | 1 | |
35c238d6b9488886acdf278f72735651157db5fe | [
"self.data_train, self.data_valid = tfds.load('ted_hrlr_translate/pt_to_en', split=['train', 'validation'], as_supervised=True)\nself.tokenizer_pt, self.tokenizer_en = self.tokenize_dataset(self.data_train)\nself.data_train = self.data_train.map(self.tf_encode).cache()\nself.data_valid = self.data_valid.map(self.tf... | <|body_start_0|>
self.data_train, self.data_valid = tfds.load('ted_hrlr_translate/pt_to_en', split=['train', 'validation'], as_supervised=True)
self.tokenizer_pt, self.tokenizer_en = self.tokenize_dataset(self.data_train)
self.data_train = self.data_train.map(self.tf_encode).cache()
self... | Load and prep a dataset for machine translation | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""Load and prep a dataset for machine translation"""
def __init__(self):
"""initialization"""
<|body_0|>
def tokenize_dataset(self, data):
"""Create sub-word tokenizers for our dataset"""
<|body_1|>
def encode(self, pt, en):
"""Enco... | stack_v2_sparse_classes_75kplus_train_068173 | 1,759 | no_license | [
{
"docstring": "initialization",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Create sub-word tokenizers for our dataset",
"name": "tokenize_dataset",
"signature": "def tokenize_dataset(self, data)"
},
{
"docstring": "Encode a translation into tokens",... | 4 | null | Implement the Python class `Dataset` described below.
Class description:
Load and prep a dataset for machine translation
Method signatures and docstrings:
- def __init__(self): initialization
- def tokenize_dataset(self, data): Create sub-word tokenizers for our dataset
- def encode(self, pt, en): Encode a translatio... | Implement the Python class `Dataset` described below.
Class description:
Load and prep a dataset for machine translation
Method signatures and docstrings:
- def __init__(self): initialization
- def tokenize_dataset(self, data): Create sub-word tokenizers for our dataset
- def encode(self, pt, en): Encode a translatio... | 16dc37d1c6dc00a271053b60724c51763914029a | <|skeleton|>
class Dataset:
"""Load and prep a dataset for machine translation"""
def __init__(self):
"""initialization"""
<|body_0|>
def tokenize_dataset(self, data):
"""Create sub-word tokenizers for our dataset"""
<|body_1|>
def encode(self, pt, en):
"""Enco... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dataset:
"""Load and prep a dataset for machine translation"""
def __init__(self):
"""initialization"""
self.data_train, self.data_valid = tfds.load('ted_hrlr_translate/pt_to_en', split=['train', 'validation'], as_supervised=True)
self.tokenizer_pt, self.tokenizer_en = self.tokeni... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/2-dataset.py | jaycer95/holbertonschool-machine_learning | train | 0 |
83f48c6325f84d5f3ee91a6ce30059010c9c5402 | [
"if count_tag in self.tagnames and self.length:\n return float(self.get(count_tag)) / (self.length - unit_length + 1)\nelse:\n return None",
"c = self.coverage(count_tag=count_tag, unit_length=unit_length)\nif c is None:\n self.try_get_length()\n raise gfapy.NotFoundError('Tag {} undefined for segment... | <|body_start_0|>
if count_tag in self.tagnames and self.length:
return float(self.get(count_tag)) / (self.length - unit_length + 1)
else:
return None
<|end_body_0|>
<|body_start_1|>
c = self.coverage(count_tag=count_tag, unit_length=unit_length)
if c is None:
... | Coverage | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Coverage:
def coverage(self, count_tag='RC', unit_length=1):
"""Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters... | stack_v2_sparse_classes_75kplus_train_068174 | 1,226 | permissive | [
{
"docstring": "Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters: count_tag (str): integer tag from which the count shall be taken (defa... | 2 | stack_v2_sparse_classes_30k_train_052789 | Implement the Python class `Coverage` described below.
Class description:
Implement the Coverage class.
Method signatures and docstrings:
- def coverage(self, count_tag='RC', unit_length=1): Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), ... | Implement the Python class `Coverage` described below.
Class description:
Implement the Coverage class.
Method signatures and docstrings:
- def coverage(self, count_tag='RC', unit_length=1): Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), ... | 12b31daac26ab137b6ee4a29b4f14554ba962dcb | <|skeleton|>
class Coverage:
def coverage(self, count_tag='RC', unit_length=1):
"""Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Coverage:
def coverage(self, count_tag='RC', unit_length=1):
"""Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters: count_tag (s... | the_stack_v2_python_sparse | gfapy/line/segment/coverage.py | ggonnella/gfapy | train | 63 | |
1bf286a85ed20389d3d206d5fe932e7afae862ce | [
"from scipy.optimize import minimize\n\ndef f1_opt(x):\n return -f1_score(true_y, pred_y >= x)\nresult = minimize(f1_opt, x0=np.array([0.5]), method='Nelder-Mead')\nbest_threshold = result['x'].item()\nreturn best_threshold",
"df_pred = pd.read_csv(f'{pred_dir}/train_probas.tsv', sep=',')\ntrain_y = train_df['... | <|body_start_0|>
from scipy.optimize import minimize
def f1_opt(x):
return -f1_score(true_y, pred_y >= x)
result = minimize(f1_opt, x0=np.array([0.5]), method='Nelder-Mead')
best_threshold = result['x'].item()
return best_threshold
<|end_body_0|>
<|body_start_1|>
... | Submit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Submit:
def nelder_mead_th(true_y, pred_y):
"""ネルダーミードでf1スコアから2値分類のbestな閾値見つける"""
<|body_0|>
def pred_nelder_mead(pred_dir, out_dir):
"""nelder_meadで決めた閾値でcvの平均値を2値化する"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
from scipy.optimize import minimi... | stack_v2_sparse_classes_75kplus_train_068175 | 6,514 | no_license | [
{
"docstring": "ネルダーミードでf1スコアから2値分類のbestな閾値見つける",
"name": "nelder_mead_th",
"signature": "def nelder_mead_th(true_y, pred_y)"
},
{
"docstring": "nelder_meadで決めた閾値でcvの平均値を2値化する",
"name": "pred_nelder_mead",
"signature": "def pred_nelder_mead(pred_dir, out_dir)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048404 | Implement the Python class `Submit` described below.
Class description:
Implement the Submit class.
Method signatures and docstrings:
- def nelder_mead_th(true_y, pred_y): ネルダーミードでf1スコアから2値分類のbestな閾値見つける
- def pred_nelder_mead(pred_dir, out_dir): nelder_meadで決めた閾値でcvの平均値を2値化する | Implement the Python class `Submit` described below.
Class description:
Implement the Submit class.
Method signatures and docstrings:
- def nelder_mead_th(true_y, pred_y): ネルダーミードでf1スコアから2値分類のbestな閾値見つける
- def pred_nelder_mead(pred_dir, out_dir): nelder_meadで決めた閾値でcvの平均値を2値化する
<|skeleton|>
class Submit:
def nel... | 44cd6fafb503665df8a2d5030f427f11b10025e5 | <|skeleton|>
class Submit:
def nelder_mead_th(true_y, pred_y):
"""ネルダーミードでf1スコアから2値分類のbestな閾値見つける"""
<|body_0|>
def pred_nelder_mead(pred_dir, out_dir):
"""nelder_meadで決めた閾値でcvの平均値を2値化する"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Submit:
def nelder_mead_th(true_y, pred_y):
"""ネルダーミードでf1スコアから2値分類のbestな閾値見つける"""
from scipy.optimize import minimize
def f1_opt(x):
return -f1_score(true_y, pred_y >= x)
result = minimize(f1_opt, x0=np.array([0.5]), method='Nelder-Mead')
best_threshold = r... | the_stack_v2_python_sparse | notebook/tmp.py | riron1206/Probspace_geme_compe | train | 0 | |
5ee18fa9af9efb894d2f8996ef864f1a2ec12e80 | [
"self.power_spectrum = power_spectrum\nself.delta_f = delta_f\nself.zero_padding = zero_padding\nif any(self.power_spectrum < self.eps):\n if not suppress_small_elements_warning:\n logging.warning('Some elements of power spectrum are too small, setting to zero')\n self.power_spectrum[self.power_spectru... | <|body_start_0|>
self.power_spectrum = power_spectrum
self.delta_f = delta_f
self.zero_padding = zero_padding
if any(self.power_spectrum < self.eps):
if not suppress_small_elements_warning:
logging.warning('Some elements of power spectrum are too small, settin... | SpectralFactorization | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpectralFactorization:
def __init__(self, power_spectrum, delta_f, zero_padding=0, suppress_small_elements_warning: bool=False):
"""Calculate the minimum-phase causal wavelet of a given power spectrum. In other words: Given the power transmission spectrum S(f) = |h(f)|² of a system with ... | stack_v2_sparse_classes_75kplus_train_068176 | 3,853 | permissive | [
{
"docstring": "Calculate the minimum-phase causal wavelet of a given power spectrum. In other words: Given the power transmission spectrum S(f) = |h(f)|² of a system with transfer function h(f), reconstruct the phase of h(f) so that h(t) = 0 for t < 0. The answer is only unique up to an all-pass component; the... | 2 | stack_v2_sparse_classes_30k_train_010233 | Implement the Python class `SpectralFactorization` described below.
Class description:
Implement the SpectralFactorization class.
Method signatures and docstrings:
- def __init__(self, power_spectrum, delta_f, zero_padding=0, suppress_small_elements_warning: bool=False): Calculate the minimum-phase causal wavelet of ... | Implement the Python class `SpectralFactorization` described below.
Class description:
Implement the SpectralFactorization class.
Method signatures and docstrings:
- def __init__(self, power_spectrum, delta_f, zero_padding=0, suppress_small_elements_warning: bool=False): Calculate the minimum-phase causal wavelet of ... | 4fc56396ad603bbe61e6d548f66b818d51a3301b | <|skeleton|>
class SpectralFactorization:
def __init__(self, power_spectrum, delta_f, zero_padding=0, suppress_small_elements_warning: bool=False):
"""Calculate the minimum-phase causal wavelet of a given power spectrum. In other words: Given the power transmission spectrum S(f) = |h(f)|² of a system with ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpectralFactorization:
def __init__(self, power_spectrum, delta_f, zero_padding=0, suppress_small_elements_warning: bool=False):
"""Calculate the minimum-phase causal wavelet of a given power spectrum. In other words: Given the power transmission spectrum S(f) = |h(f)|² of a system with transfer funct... | the_stack_v2_python_sparse | pycqed/analysis/tools/spectralfac.py | DiCarloLab-Delft/PycQED_py3 | train | 72 | |
e469cf92dda1dbb9382197bb20d6c35ec88bc1bb | [
"self.n_input = n_input\nself.n_hidden = n_hidden\nself.n_output = n_output\nself.learning_rate = learning_rate\nself.reg_lambda = reg_lambda\nself.initialize_weights()",
"np.random.seed(0)\nself.W1 = np.random.randn(self.n_input, self.n_hidden)\nself.b1 = np.random.randn(self.n_hidden)\nself.W2 = np.random.randn... | <|body_start_0|>
self.n_input = n_input
self.n_hidden = n_hidden
self.n_output = n_output
self.learning_rate = learning_rate
self.reg_lambda = reg_lambda
self.initialize_weights()
<|end_body_0|>
<|body_start_1|>
np.random.seed(0)
self.W1 = np.random.randn... | A class representing a single layer neural network for classification. | NN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NN:
"""A class representing a single layer neural network for classification."""
def __init__(self, n_input, n_hidden, n_output, learning_rate=0.01, reg_lambda=0.01):
"""Initializes the neural network. Arguments: n_input(int): The number of units in the input layer. n_hidden(int): Th... | stack_v2_sparse_classes_75kplus_train_068177 | 3,871 | no_license | [
{
"docstring": "Initializes the neural network. Arguments: n_input(int): The number of units in the input layer. n_hidden(int): The number of units in the hidden layer. n_output(int): The number of units in the output layer. learning_rate(float): The learning rate to use when performing gradient descent. reg_la... | 6 | stack_v2_sparse_classes_30k_test_000673 | Implement the Python class `NN` described below.
Class description:
A class representing a single layer neural network for classification.
Method signatures and docstrings:
- def __init__(self, n_input, n_hidden, n_output, learning_rate=0.01, reg_lambda=0.01): Initializes the neural network. Arguments: n_input(int): ... | Implement the Python class `NN` described below.
Class description:
A class representing a single layer neural network for classification.
Method signatures and docstrings:
- def __init__(self, n_input, n_hidden, n_output, learning_rate=0.01, reg_lambda=0.01): Initializes the neural network. Arguments: n_input(int): ... | 15c7b77142c51c44dc9ee9a18654c124a3300dd1 | <|skeleton|>
class NN:
"""A class representing a single layer neural network for classification."""
def __init__(self, n_input, n_hidden, n_output, learning_rate=0.01, reg_lambda=0.01):
"""Initializes the neural network. Arguments: n_input(int): The number of units in the input layer. n_hidden(int): Th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NN:
"""A class representing a single layer neural network for classification."""
def __init__(self, n_input, n_hidden, n_output, learning_rate=0.01, reg_lambda=0.01):
"""Initializes the neural network. Arguments: n_input(int): The number of units in the input layer. n_hidden(int): The number of u... | the_stack_v2_python_sparse | Labs/Lab7Solutions/lab7.py | swansonk14/IntroML | train | 31 |
ac76cea8c052c4ef57ca082b50d812c1532ec02b | [
"self.current_state = states.PLNOverallState(annotated_interactions, active_gene_threshold, transition_ratio, selected_links, alpha, beta, link_prior, parameters_state_class)\nself.state_recorder = state_recorder_class(self.current_state.links_state.process_links, self.current_state.parameters_state.get_parameter_d... | <|body_start_0|>
self.current_state = states.PLNOverallState(annotated_interactions, active_gene_threshold, transition_ratio, selected_links, alpha, beta, link_prior, parameters_state_class)
self.state_recorder = state_recorder_class(self.current_state.links_state.process_links, self.current_state.param... | A class representing Simulated Annealing for process linkage networks. | PLNSimulatedAnnealing | [
"MIT",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PLNSimulatedAnnealing:
"""A class representing Simulated Annealing for process linkage networks."""
def __init__(self, annotated_interactions, active_gene_threshold, transition_ratio, num_steps=NUM_STEPS, temperature=TEMPERATURE, end_temperature=END_TEMPERATURE, selected_links=None, alpha=No... | stack_v2_sparse_classes_75kplus_train_068178 | 9,668 | permissive | [
{
"docstring": "Create a new instance. :Parameters: - `annotated_interactions`: an `AnnotatedInteractionsGraph` instance - `active_gene_threshold`: the threshold at or above which a gene is considered \"active\" - `transition_ratio`: a `float` indicating the ratio of link transitions to parameter transitions - ... | 3 | stack_v2_sparse_classes_30k_train_028152 | Implement the Python class `PLNSimulatedAnnealing` described below.
Class description:
A class representing Simulated Annealing for process linkage networks.
Method signatures and docstrings:
- def __init__(self, annotated_interactions, active_gene_threshold, transition_ratio, num_steps=NUM_STEPS, temperature=TEMPERA... | Implement the Python class `PLNSimulatedAnnealing` described below.
Class description:
A class representing Simulated Annealing for process linkage networks.
Method signatures and docstrings:
- def __init__(self, annotated_interactions, active_gene_threshold, transition_ratio, num_steps=NUM_STEPS, temperature=TEMPERA... | f3cf02c41e26b0318674cb20703bd6f4442a688e | <|skeleton|>
class PLNSimulatedAnnealing:
"""A class representing Simulated Annealing for process linkage networks."""
def __init__(self, annotated_interactions, active_gene_threshold, transition_ratio, num_steps=NUM_STEPS, temperature=TEMPERATURE, end_temperature=END_TEMPERATURE, selected_links=None, alpha=No... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PLNSimulatedAnnealing:
"""A class representing Simulated Annealing for process linkage networks."""
def __init__(self, annotated_interactions, active_gene_threshold, transition_ratio, num_steps=NUM_STEPS, temperature=TEMPERATURE, end_temperature=END_TEMPERATURE, selected_links=None, alpha=None, beta=None... | the_stack_v2_python_sparse | bpn/mcmc/simulatedannealing.py | Python3pkg/BiologicalProcessNetworks | train | 0 |
1bd14d16d3028fdc344985f6dbbac2c84cb6fd99 | [
"timestamp = self._GetRowValue(query_hash, row, value_name)\nif timestamp is None:\n return None\nreturn dfdatetime_cocoa_time.CocoaTime(timestamp=timestamp)",
"query_hash = hash(query)\naction = self._GetRowValue(query_hash, row, 'action')\nif action.startswith('/safari/'):\n event_data = MacOSKnowledgeCSa... | <|body_start_0|>
timestamp = self._GetRowValue(query_hash, row, value_name)
if timestamp is None:
return None
return dfdatetime_cocoa_time.CocoaTime(timestamp=timestamp)
<|end_body_0|>
<|body_start_1|>
query_hash = hash(query)
action = self._GetRowValue(query_hash, r... | SQLite parser plugin for MacOS Duet/KnowledgeC database files. | MacOSKnowledgeCPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MacOSKnowledgeCPlugin:
"""SQLite parser plugin for MacOS Duet/KnowledgeC database files."""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that... | stack_v2_sparse_classes_75kplus_train_068179 | 31,607 | permissive | [
{
"docstring": "Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that produced the row. row (sqlite3.Row): row. value_name (str): name of the value. Returns: dfdatetime.CocoaTime: date and time value or None if not available.",
"name... | 2 | null | Implement the Python class `MacOSKnowledgeCPlugin` described below.
Class description:
SQLite parser plugin for MacOS Duet/KnowledgeC database files.
Method signatures and docstrings:
- def _GetDateTimeRowValue(self, query_hash, row, value_name): Retrieves a date and time value from the row. Args: query_hash (int): h... | Implement the Python class `MacOSKnowledgeCPlugin` described below.
Class description:
SQLite parser plugin for MacOS Duet/KnowledgeC database files.
Method signatures and docstrings:
- def _GetDateTimeRowValue(self, query_hash, row, value_name): Retrieves a date and time value from the row. Args: query_hash (int): h... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class MacOSKnowledgeCPlugin:
"""SQLite parser plugin for MacOS Duet/KnowledgeC database files."""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MacOSKnowledgeCPlugin:
"""SQLite parser plugin for MacOS Duet/KnowledgeC database files."""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that produced the... | the_stack_v2_python_sparse | plaso/parsers/sqlite_plugins/macos_knowledgec.py | log2timeline/plaso | train | 1,506 |
383d97923b42a58f6a89e7816db99de837ae939f | [
"self.curve = generator.curve()\nself.generator = generator\nself.point = point\nn = generator.order()\nif not n:\n raise RuntimeError('Generator point must have order.')\nif not n * point == ellipticcurve.INFINITY:\n raise RuntimeError('Generator point order is bad.')\nif point.x() < 0 or n <= point.x() or p... | <|body_start_0|>
self.curve = generator.curve()
self.generator = generator
self.point = point
n = generator.order()
if not n:
raise RuntimeError('Generator point must have order.')
if not n * point == ellipticcurve.INFINITY:
raise RuntimeError('Gen... | Public key for ECDSA. | Public_key | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Public_key:
"""Public key for ECDSA."""
def __init__(self, generator, point):
"""generator is the Point that generates the group, point is the Point that defines the public key."""
<|body_0|>
def verifies(self, hash, signature):
"""Verify that signature is a vali... | stack_v2_sparse_classes_75kplus_train_068180 | 9,224 | no_license | [
{
"docstring": "generator is the Point that generates the group, point is the Point that defines the public key.",
"name": "__init__",
"signature": "def __init__(self, generator, point)"
},
{
"docstring": "Verify that signature is a valid signature of hash. Return True if the signature is valid.... | 2 | stack_v2_sparse_classes_30k_train_017047 | Implement the Python class `Public_key` described below.
Class description:
Public key for ECDSA.
Method signatures and docstrings:
- def __init__(self, generator, point): generator is the Point that generates the group, point is the Point that defines the public key.
- def verifies(self, hash, signature): Verify tha... | Implement the Python class `Public_key` described below.
Class description:
Public key for ECDSA.
Method signatures and docstrings:
- def __init__(self, generator, point): generator is the Point that generates the group, point is the Point that defines the public key.
- def verifies(self, hash, signature): Verify tha... | a473d0d389612e53a2ad6fe8a18d984474c44623 | <|skeleton|>
class Public_key:
"""Public key for ECDSA."""
def __init__(self, generator, point):
"""generator is the Point that generates the group, point is the Point that defines the public key."""
<|body_0|>
def verifies(self, hash, signature):
"""Verify that signature is a vali... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Public_key:
"""Public key for ECDSA."""
def __init__(self, generator, point):
"""generator is the Point that generates the group, point is the Point that defines the public key."""
self.curve = generator.curve()
self.generator = generator
self.point = point
n = gen... | the_stack_v2_python_sparse | p/dist-packages/ecdsa/ecdsa.py | joshg111/craigslist_kbb | train | 7 |
5ca99a8b67a790edca346773a1e378784166f571 | [
"ObjectManager.__init__(self)\nself.setters.update({'name': 'set_general', 'resource_types': 'set_many', 'session_resource_type_requirements': 'set_many'})\nself.getters.update({'name': 'get_general', 'resource_types': 'get_many_to_many', 'session_resource_type_requirements': 'get_many_to_one'})\nself.my_django_mod... | <|body_start_0|>
ObjectManager.__init__(self)
self.setters.update({'name': 'set_general', 'resource_types': 'set_many', 'session_resource_type_requirements': 'set_many'})
self.getters.update({'name': 'get_general', 'resource_types': 'get_many_to_many', 'session_resource_type_requirements': 'get_... | Manage Resources in the Power Reg system | ResourceManager | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceManager:
"""Manage Resources in the Power Reg system"""
def __init__(self):
"""constructor"""
<|body_0|>
def create(self, auth_token, name):
"""Create a new Resource @param name name of the Resource @return instance of Resource"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_068181 | 1,339 | permissive | [
{
"docstring": "constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Create a new Resource @param name name of the Resource @return instance of Resource",
"name": "create",
"signature": "def create(self, auth_token, name)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000926 | Implement the Python class `ResourceManager` described below.
Class description:
Manage Resources in the Power Reg system
Method signatures and docstrings:
- def __init__(self): constructor
- def create(self, auth_token, name): Create a new Resource @param name name of the Resource @return instance of Resource | Implement the Python class `ResourceManager` described below.
Class description:
Manage Resources in the Power Reg system
Method signatures and docstrings:
- def __init__(self): constructor
- def create(self, auth_token, name): Create a new Resource @param name name of the Resource @return instance of Resource
<|ske... | a59457bc37f0501aea1f54d006a6de94ff80511c | <|skeleton|>
class ResourceManager:
"""Manage Resources in the Power Reg system"""
def __init__(self):
"""constructor"""
<|body_0|>
def create(self, auth_token, name):
"""Create a new Resource @param name name of the Resource @return instance of Resource"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResourceManager:
"""Manage Resources in the Power Reg system"""
def __init__(self):
"""constructor"""
ObjectManager.__init__(self)
self.setters.update({'name': 'set_general', 'resource_types': 'set_many', 'session_resource_type_requirements': 'set_many'})
self.getters.upda... | the_stack_v2_python_sparse | pr_services/resource_system/resource_manager.py | ninemoreminutes/openassign-server | train | 0 |
1b799d29e872380c076af43a5963a172f23c5d76 | [
"self.objective = objective\nself.seed = seed\nself.column_text = column_text\nself.class_weight = class_weight\nself.is_NN = False\nself.info_scores = {}",
"if self.is_NN:\n self.gridsearch = GridSearch_NN(self, self.hyper_params(size_params))\n self.gridsearch.train(x, y, nfolds, scoring, verbose, time_li... | <|body_start_0|>
self.objective = objective
self.seed = seed
self.column_text = column_text
self.class_weight = class_weight
self.is_NN = False
self.info_scores = {}
<|end_body_0|>
<|body_start_1|>
if self.is_NN:
self.gridsearch = GridSearch_NN(self, ... | Parent class of models | Model | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Model:
"""Parent class of models"""
def __init__(self, objective, seed, column_text, class_weight):
"""Args: objective (str) : 'binary' or 'binary_proba' or 'text_binary' or 'text_binary_proba' seed (int) column_text (str) : name of the column with texts class_weight (None or 'balanc... | stack_v2_sparse_classes_75kplus_train_068182 | 5,480 | no_license | [
{
"docstring": "Args: objective (str) : 'binary' or 'binary_proba' or 'text_binary' or 'text_binary_proba' seed (int) column_text (str) : name of the column with texts class_weight (None or 'balanced') : apply a weight for each class",
"name": "__init__",
"signature": "def __init__(self, objective, seed... | 5 | stack_v2_sparse_classes_30k_train_008151 | Implement the Python class `Model` described below.
Class description:
Parent class of models
Method signatures and docstrings:
- def __init__(self, objective, seed, column_text, class_weight): Args: objective (str) : 'binary' or 'binary_proba' or 'text_binary' or 'text_binary_proba' seed (int) column_text (str) : na... | Implement the Python class `Model` described below.
Class description:
Parent class of models
Method signatures and docstrings:
- def __init__(self, objective, seed, column_text, class_weight): Args: objective (str) : 'binary' or 'binary_proba' or 'text_binary' or 'text_binary_proba' seed (int) column_text (str) : na... | 315494b1fe22d349d337fc43dc87d4085581e07e | <|skeleton|>
class Model:
"""Parent class of models"""
def __init__(self, objective, seed, column_text, class_weight):
"""Args: objective (str) : 'binary' or 'binary_proba' or 'text_binary' or 'text_binary_proba' seed (int) column_text (str) : name of the column with texts class_weight (None or 'balanc... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Model:
"""Parent class of models"""
def __init__(self, objective, seed, column_text, class_weight):
"""Args: objective (str) : 'binary' or 'binary_proba' or 'text_binary' or 'text_binary_proba' seed (int) column_text (str) : name of the column with texts class_weight (None or 'balanced') : apply ... | the_stack_v2_python_sparse | class_models.py | Tarandro/BinaryML_churn | train | 0 |
7fcb046d01ceabc3bc776ca83e81eab44e490c5f | [
"post_body = json.dumps({'application_credential': kwargs})\nresp, body = self.post('users/%s/application_credentials' % user_id, post_body)\nself.expected_success(201, resp.status)\nbody = json.loads(body)\nreturn rest_client.ResponseBody(resp, body)",
"resp, body = self.get('users/%s/application_credentials/%s'... | <|body_start_0|>
post_body = json.dumps({'application_credential': kwargs})
resp, body = self.post('users/%s/application_credentials' % user_id, post_body)
self.expected_success(201, resp.status)
body = json.loads(body)
return rest_client.ResponseBody(resp, body)
<|end_body_0|>
... | ApplicationCredentialsClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApplicationCredentialsClient:
def create_application_credential(self, user_id, **kwargs):
"""Creates an application credential. For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/identity/v3/index.html#create-applicatio... | stack_v2_sparse_classes_75kplus_train_068183 | 3,449 | permissive | [
{
"docstring": "Creates an application credential. For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/identity/v3/index.html#create-application-credential",
"name": "create_application_credential",
"signature": "def create_application_... | 4 | stack_v2_sparse_classes_30k_train_012091 | Implement the Python class `ApplicationCredentialsClient` described below.
Class description:
Implement the ApplicationCredentialsClient class.
Method signatures and docstrings:
- def create_application_credential(self, user_id, **kwargs): Creates an application credential. For a full list of available parameters, pl... | Implement the Python class `ApplicationCredentialsClient` described below.
Class description:
Implement the ApplicationCredentialsClient class.
Method signatures and docstrings:
- def create_application_credential(self, user_id, **kwargs): Creates an application credential. For a full list of available parameters, pl... | 3932a799e620a20d7abf7b89e21b520683a1809b | <|skeleton|>
class ApplicationCredentialsClient:
def create_application_credential(self, user_id, **kwargs):
"""Creates an application credential. For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/identity/v3/index.html#create-applicatio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ApplicationCredentialsClient:
def create_application_credential(self, user_id, **kwargs):
"""Creates an application credential. For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/identity/v3/index.html#create-application-credential""... | the_stack_v2_python_sparse | tempest/lib/services/identity/v3/application_credentials_client.py | openstack/tempest | train | 270 | |
e8645b24f89a25162c401501d9a79fc8da214a54 | [
"self._cache = cache\nself._package = package\nself._service_manager = service_manager",
"self._service_manager.RecordServices()\ntry:\n self._package.mark_install(True, True, False)\n logging.info('Installing...')\n self._cache.commit()\nexcept (apt.cache.FetchFailedException, SystemError) as e:\n lo... | <|body_start_0|>
self._cache = cache
self._package = package
self._service_manager = service_manager
<|end_body_0|>
<|body_start_1|>
self._service_manager.RecordServices()
try:
self._package.mark_install(True, True, False)
logging.info('Installing...')
... | A Debian "install" trigger. | DebInstall | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DebInstall:
"""A Debian "install" trigger."""
def __init__(self, cache, package, service_manager):
"""Constructor. Args: cache: An apt cache. package: A package to be installed. service_manager: A service manager for the application."""
<|body_0|>
def RunTrigger(self):
... | stack_v2_sparse_classes_75kplus_train_068184 | 10,965 | no_license | [
{
"docstring": "Constructor. Args: cache: An apt cache. package: A package to be installed. service_manager: A service manager for the application.",
"name": "__init__",
"signature": "def __init__(self, cache, package, service_manager)"
},
{
"docstring": "Run a Debian \"install\" trigger. This t... | 2 | stack_v2_sparse_classes_30k_train_010740 | Implement the Python class `DebInstall` described below.
Class description:
A Debian "install" trigger.
Method signatures and docstrings:
- def __init__(self, cache, package, service_manager): Constructor. Args: cache: An apt cache. package: A package to be installed. service_manager: A service manager for the applic... | Implement the Python class `DebInstall` described below.
Class description:
A Debian "install" trigger.
Method signatures and docstrings:
- def __init__(self, cache, package, service_manager): Constructor. Args: cache: An apt cache. package: A package to be installed. service_manager: A service manager for the applic... | 3fa5a9d67eb4eea87d3a54b1af5946cec8b67cca | <|skeleton|>
class DebInstall:
"""A Debian "install" trigger."""
def __init__(self, cache, package, service_manager):
"""Constructor. Args: cache: An apt cache. package: A package to be installed. service_manager: A service manager for the application."""
<|body_0|>
def RunTrigger(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DebInstall:
"""A Debian "install" trigger."""
def __init__(self, cache, package, service_manager):
"""Constructor. Args: cache: An apt cache. package: A package to be installed. service_manager: A service manager for the application."""
self._cache = cache
self._package = package
... | the_stack_v2_python_sparse | guest/deb_triggers.py | tojo2000/wheelbarrow | train | 0 |
37770a84501ea37bdeecbf2c0011fde6972d7616 | [
"self.player_1 = {'type': 'computer', 'name': 'T3M4', 'phrase': opponent_list[4]['phrase'], 'record': {'win': 0, 'loss': 0}, 'gs': 0, 'rs': 0, 'deck': [], 'hand': [-3, -1, 1, 2], 'state': None, 'main': True, 'paradigm': 'new'}\nself.player_2 = {'type': 'computer', 'name': opponent_list[4]['name'], 'phrase': opponen... | <|body_start_0|>
self.player_1 = {'type': 'computer', 'name': 'T3M4', 'phrase': opponent_list[4]['phrase'], 'record': {'win': 0, 'loss': 0}, 'gs': 0, 'rs': 0, 'deck': [], 'hand': [-3, -1, 1, 2], 'state': None, 'main': True, 'paradigm': 'new'}
self.player_2 = {'type': 'computer', 'name': opponent_list[4]... | Pazaak | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Pazaak:
def __init__(self):
"""Initializes the player, computer, data, and options for the game The key/ value pairs in the player_1 / 2 dictionaries are referred to as attributes throughout the program."""
<|body_0|>
def play(self):
"""Runs the game by calling a fun... | stack_v2_sparse_classes_75kplus_train_068185 | 4,099 | no_license | [
{
"docstring": "Initializes the player, computer, data, and options for the game The key/ value pairs in the player_1 / 2 dictionaries are referred to as attributes throughout the program.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Runs the game by calling a funct... | 2 | null | Implement the Python class `Pazaak` described below.
Class description:
Implement the Pazaak class.
Method signatures and docstrings:
- def __init__(self): Initializes the player, computer, data, and options for the game The key/ value pairs in the player_1 / 2 dictionaries are referred to as attributes throughout th... | Implement the Python class `Pazaak` described below.
Class description:
Implement the Pazaak class.
Method signatures and docstrings:
- def __init__(self): Initializes the player, computer, data, and options for the game The key/ value pairs in the player_1 / 2 dictionaries are referred to as attributes throughout th... | 916347e9e49276ee4a4d9677deaaac8084c42e55 | <|skeleton|>
class Pazaak:
def __init__(self):
"""Initializes the player, computer, data, and options for the game The key/ value pairs in the player_1 / 2 dictionaries are referred to as attributes throughout the program."""
<|body_0|>
def play(self):
"""Runs the game by calling a fun... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Pazaak:
def __init__(self):
"""Initializes the player, computer, data, and options for the game The key/ value pairs in the player_1 / 2 dictionaries are referred to as attributes throughout the program."""
self.player_1 = {'type': 'computer', 'name': 'T3M4', 'phrase': opponent_list[4]['phrase... | the_stack_v2_python_sparse | modules/primary/pazaak.py | Richd4y/Pazaak-Card-Game | train | 0 | |
3fa06a6e7073b0305e42b8027d830166a475e009 | [
"n = len(nums)\n\n@lru_cache(None)\ndef dfs(index: int) -> bool:\n if index >= n:\n return index == n\n res = False\n if index + 1 < n and nums[index] == nums[index + 1]:\n res |= dfs(index + 2)\n if index + 2 < n and (nums[index] == nums[index + 1] == nums[index + 2] or nums[index] == num... | <|body_start_0|>
n = len(nums)
@lru_cache(None)
def dfs(index: int) -> bool:
if index >= n:
return index == n
res = False
if index + 1 < n and nums[index] == nums[index + 1]:
res |= dfs(index + 2)
if index + 2 < n a... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def validPartition(self, nums: List[int]) -> bool:
"""dp分割子数组"""
<|body_0|>
def validPartition2(self, nums: List[int]) -> bool:
"""dp分割子数组"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(nums)
@lru_cache(None)
def ... | stack_v2_sparse_classes_75kplus_train_068186 | 2,222 | no_license | [
{
"docstring": "dp分割子数组",
"name": "validPartition",
"signature": "def validPartition(self, nums: List[int]) -> bool"
},
{
"docstring": "dp分割子数组",
"name": "validPartition2",
"signature": "def validPartition2(self, nums: List[int]) -> bool"
}
] | 2 | stack_v2_sparse_classes_30k_val_001032 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def validPartition(self, nums: List[int]) -> bool: dp分割子数组
- def validPartition2(self, nums: List[int]) -> bool: dp分割子数组 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def validPartition(self, nums: List[int]) -> bool: dp分割子数组
- def validPartition2(self, nums: List[int]) -> bool: dp分割子数组
<|skeleton|>
class Solution:
def validPartition(sel... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def validPartition(self, nums: List[int]) -> bool:
"""dp分割子数组"""
<|body_0|>
def validPartition2(self, nums: List[int]) -> bool:
"""dp分割子数组"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def validPartition(self, nums: List[int]) -> bool:
"""dp分割子数组"""
n = len(nums)
@lru_cache(None)
def dfs(index: int) -> bool:
if index >= n:
return index == n
res = False
if index + 1 < n and nums[index] == nums[inde... | the_stack_v2_python_sparse | 11_动态规划/子数组/6137. 检查数组是否存在有效划分-分割子数组.py | 981377660LMT/algorithm-study | train | 225 | |
68d14797317058f2429f2b20b9db60a89cf7cb5d | [
"super(BahdanauAttention, self).__init__()\nself.normalize = normalize\nself.batch_first = batch_first\nself.num_units = num_units\nself.linear_q = nn.Linear(query_size, num_units, bias=False)\nself.linear_k = nn.Linear(key_size, num_units, bias=False)\nnn.init.uniform_(self.linear_q.weight.data, -init_weight, init... | <|body_start_0|>
super(BahdanauAttention, self).__init__()
self.normalize = normalize
self.batch_first = batch_first
self.num_units = num_units
self.linear_q = nn.Linear(query_size, num_units, bias=False)
self.linear_k = nn.Linear(key_size, num_units, bias=False)
... | Bahdanau Attention (https://arxiv.org/abs/1409.0473) Implementation is very similar to tf.contrib.seq2seq.BahdanauAttention | BahdanauAttention | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BahdanauAttention:
"""Bahdanau Attention (https://arxiv.org/abs/1409.0473) Implementation is very similar to tf.contrib.seq2seq.BahdanauAttention"""
def __init__(self, query_size, key_size, num_units, normalize=False, batch_first=False, init_weight=0.1):
"""Constructor for the Bahdan... | stack_v2_sparse_classes_75kplus_train_068187 | 6,755 | permissive | [
{
"docstring": "Constructor for the BahdanauAttention. :param query_size: feature dimension for query :param key_size: feature dimension for keys :param num_units: internal feature dimension :param normalize: whether to normalize energy term :param batch_first: if True batch size is the 1st dimension, if False ... | 5 | stack_v2_sparse_classes_30k_train_019209 | Implement the Python class `BahdanauAttention` described below.
Class description:
Bahdanau Attention (https://arxiv.org/abs/1409.0473) Implementation is very similar to tf.contrib.seq2seq.BahdanauAttention
Method signatures and docstrings:
- def __init__(self, query_size, key_size, num_units, normalize=False, batch_... | Implement the Python class `BahdanauAttention` described below.
Class description:
Bahdanau Attention (https://arxiv.org/abs/1409.0473) Implementation is very similar to tf.contrib.seq2seq.BahdanauAttention
Method signatures and docstrings:
- def __init__(self, query_size, key_size, num_units, normalize=False, batch_... | a5388a45f71a949639b35cc5b990bd130d2d8164 | <|skeleton|>
class BahdanauAttention:
"""Bahdanau Attention (https://arxiv.org/abs/1409.0473) Implementation is very similar to tf.contrib.seq2seq.BahdanauAttention"""
def __init__(self, query_size, key_size, num_units, normalize=False, batch_first=False, init_weight=0.1):
"""Constructor for the Bahdan... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BahdanauAttention:
"""Bahdanau Attention (https://arxiv.org/abs/1409.0473) Implementation is very similar to tf.contrib.seq2seq.BahdanauAttention"""
def __init__(self, query_size, key_size, num_units, normalize=False, batch_first=False, init_weight=0.1):
"""Constructor for the BahdanauAttention. ... | the_stack_v2_python_sparse | PyTorch/Translation/GNMT/seq2seq/models/attention.py | NVIDIA/DeepLearningExamples | train | 11,838 |
cf9e6bef68f464922d94f22edb15f3ddd4077905 | [
"try:\n return super().make_context(info_name, args, parent, **extra)\nexcept Exception as e:\n telemetry_client = parent.obj['TELEMETRY_CLIENT']\n if isinstance(e, click.exceptions.Exit) and e.exit_code == 0:\n telemetry_client.send_command_telemetry(parent, extra_info_name=info_name, is_help=True)... | <|body_start_0|>
try:
return super().make_context(info_name, args, parent, **extra)
except Exception as e:
telemetry_client = parent.obj['TELEMETRY_CLIENT']
if isinstance(e, click.exceptions.Exit) and e.exit_code == 0:
telemetry_client.send_command_tel... | OctaviaCommand | [
"MIT",
"Apache-2.0",
"BSD-3-Clause",
"Elastic-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OctaviaCommand:
def make_context(self, info_name: t.Optional[str], args: t.List[str], parent: t.Optional[click.Context]=None, **extra: t.Any) -> click.Context:
"""Wrap parent make context with telemetry sending in case of failure. Args: info_name (t.Optional[str]): The info name for this... | stack_v2_sparse_classes_75kplus_train_068188 | 2,019 | permissive | [
{
"docstring": "Wrap parent make context with telemetry sending in case of failure. Args: info_name (t.Optional[str]): The info name for this invocation. args (t.List[str]): The arguments to parse as list of strings. parent (t.Optional[click.Context], optional): The parent context if available.. Defaults to Non... | 2 | stack_v2_sparse_classes_30k_train_012843 | Implement the Python class `OctaviaCommand` described below.
Class description:
Implement the OctaviaCommand class.
Method signatures and docstrings:
- def make_context(self, info_name: t.Optional[str], args: t.List[str], parent: t.Optional[click.Context]=None, **extra: t.Any) -> click.Context: Wrap parent make conte... | Implement the Python class `OctaviaCommand` described below.
Class description:
Implement the OctaviaCommand class.
Method signatures and docstrings:
- def make_context(self, info_name: t.Optional[str], args: t.List[str], parent: t.Optional[click.Context]=None, **extra: t.Any) -> click.Context: Wrap parent make conte... | 8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6 | <|skeleton|>
class OctaviaCommand:
def make_context(self, info_name: t.Optional[str], args: t.List[str], parent: t.Optional[click.Context]=None, **extra: t.Any) -> click.Context:
"""Wrap parent make context with telemetry sending in case of failure. Args: info_name (t.Optional[str]): The info name for this... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OctaviaCommand:
def make_context(self, info_name: t.Optional[str], args: t.List[str], parent: t.Optional[click.Context]=None, **extra: t.Any) -> click.Context:
"""Wrap parent make context with telemetry sending in case of failure. Args: info_name (t.Optional[str]): The info name for this invocation. a... | the_stack_v2_python_sparse | dts/airbyte/octavia-cli/octavia_cli/base_commands.py | alldatacenter/alldata | train | 774 | |
bdbd12e1449c843427c3a42c44a4aa2d372f4ae1 | [
"self.hints = {}\nself.arrays = {}\nself.compilers = {}\nself.specializers = {}\nself.object_store = ObjectStore(config['object_store'])\nif config['open_ahead']:\n self.object_store.open_ahead()\nfor compiler in config['compilers']:\n self.compilers[compiler] = Compiler(config['compilers'][compiler])\nfor sl... | <|body_start_0|>
self.hints = {}
self.arrays = {}
self.compilers = {}
self.specializers = {}
self.object_store = ObjectStore(config['object_store'])
if config['open_ahead']:
self.object_store.open_ahead()
for compiler in config['compilers']:
... | Encapsulation of runtime activities, compilation, loading, etc. | Runtime | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Runtime:
"""Encapsulation of runtime activities, compilation, loading, etc."""
def __init__(self, config):
""":param config pych.Config: pyChapel configuration"""
<|body_0|>
def hint(self, extern):
"""Hint the runtime that we might be interested in this extern at... | stack_v2_sparse_classes_75kplus_train_068189 | 6,809 | permissive | [
{
"docstring": ":param config pych.Config: pyChapel configuration",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Hint the runtime that we might be interested in this extern at some point in the future.",
"name": "hint",
"signature": "def hint(self, ext... | 4 | stack_v2_sparse_classes_30k_test_001741 | Implement the Python class `Runtime` described below.
Class description:
Encapsulation of runtime activities, compilation, loading, etc.
Method signatures and docstrings:
- def __init__(self, config): :param config pych.Config: pyChapel configuration
- def hint(self, extern): Hint the runtime that we might be interes... | Implement the Python class `Runtime` described below.
Class description:
Encapsulation of runtime activities, compilation, loading, etc.
Method signatures and docstrings:
- def __init__(self, config): :param config pych.Config: pyChapel configuration
- def hint(self, extern): Hint the runtime that we might be interes... | 76243e750833213b8dbc1ae55b29c24c9cdf7322 | <|skeleton|>
class Runtime:
"""Encapsulation of runtime activities, compilation, loading, etc."""
def __init__(self, config):
""":param config pych.Config: pyChapel configuration"""
<|body_0|>
def hint(self, extern):
"""Hint the runtime that we might be interested in this extern at... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Runtime:
"""Encapsulation of runtime activities, compilation, loading, etc."""
def __init__(self, config):
""":param config pych.Config: pyChapel configuration"""
self.hints = {}
self.arrays = {}
self.compilers = {}
self.specializers = {}
self.object_store ... | the_stack_v2_python_sparse | module/pych/runtime.py | safl/pychapel | train | 2 |
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_75kplus_train_068190 | 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_047352 | 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_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | 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 |
3c2ae1718db51e2625f9bb18367957de2df00787 | [
"super(ReparametrisedGaussianEncoder, self).__init__(data_dim=data_dim, noise_dim=noise_dim, latent_dim=latent_dim, network_architecture=network_architecture, name=name or 'Reparametrised Gaussian Encoder')\nlatent_mean, latent_log_var = get_network_by_name['reparametrised_encoder'][network_architecture](self.data_... | <|body_start_0|>
super(ReparametrisedGaussianEncoder, self).__init__(data_dim=data_dim, noise_dim=noise_dim, latent_dim=latent_dim, network_architecture=network_architecture, name=name or 'Reparametrised Gaussian Encoder')
latent_mean, latent_log_var = get_network_by_name['reparametrised_encoder'][netwo... | A ReparametrisedGaussianEncoder model is trained to parametrise a Gaussian latent variables: Data | ----------- | Encoder | ----------- | mu + sigma * Noise <--- Reparametrised Gaussian latent space | ReparametrisedGaussianEncoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReparametrisedGaussianEncoder:
"""A ReparametrisedGaussianEncoder model is trained to parametrise a Gaussian latent variables: Data | ----------- | Encoder | ----------- | mu + sigma * Noise <--- Reparametrised Gaussian latent space"""
def __init__(self, data_dim, noise_dim, latent_dim, netw... | stack_v2_sparse_classes_75kplus_train_068191 | 23,104 | permissive | [
{
"docstring": "Args: data_dim: int, flattened data space dimensionality noise_dim: int, flattened noise space dimensionality latent_dim: int, flattened latent space dimensionality network_architecture: str, the architecture name for the body of the reparametrised Gaussian Encoder model name: str, optional iden... | 2 | stack_v2_sparse_classes_30k_train_025238 | Implement the Python class `ReparametrisedGaussianEncoder` described below.
Class description:
A ReparametrisedGaussianEncoder model is trained to parametrise a Gaussian latent variables: Data | ----------- | Encoder | ----------- | mu + sigma * Noise <--- Reparametrised Gaussian latent space
Method signatures and do... | Implement the Python class `ReparametrisedGaussianEncoder` described below.
Class description:
A ReparametrisedGaussianEncoder model is trained to parametrise a Gaussian latent variables: Data | ----------- | Encoder | ----------- | mu + sigma * Noise <--- Reparametrised Gaussian latent space
Method signatures and do... | 545e4993c90622f05b5b7ba0183bc07d5972371e | <|skeleton|>
class ReparametrisedGaussianEncoder:
"""A ReparametrisedGaussianEncoder model is trained to parametrise a Gaussian latent variables: Data | ----------- | Encoder | ----------- | mu + sigma * Noise <--- Reparametrised Gaussian latent space"""
def __init__(self, data_dim, noise_dim, latent_dim, netw... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReparametrisedGaussianEncoder:
"""A ReparametrisedGaussianEncoder model is trained to parametrise a Gaussian latent variables: Data | ----------- | Encoder | ----------- | mu + sigma * Noise <--- Reparametrised Gaussian latent space"""
def __init__(self, data_dim, noise_dim, latent_dim, network_architect... | the_stack_v2_python_sparse | playground/models/networks/encoder.py | gdikov/vae-playground | train | 1 |
a7f1895d39686f6be4c38fc530889c9c16c1edb3 | [
"if model._meta.app_label in ['goibibo']:\n db_name = 'goibibo_slave'\nelse:\n db_name = 'default'\nreturn db_name",
"if model._meta.app_label == 'goibibo':\n if model._meta.model_name in NO_WRITE_MODELS:\n raise Exception('write not allowed here')\n db_name = 'goibibo_master'\nelse:\n db_na... | <|body_start_0|>
if model._meta.app_label in ['goibibo']:
db_name = 'goibibo_slave'
else:
db_name = 'default'
return db_name
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label == 'goibibo':
if model._meta.model_name in NO_WRITE_MODELS:
... | Goibibo Database Router. A router to control all database operations on models in the Goibibo Application. | GoibiboApplicationRouter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoibiboApplicationRouter:
"""Goibibo Database Router. A router to control all database operations on models in the Goibibo Application."""
def db_for_read(model, **hints):
"""Return db for read."""
<|body_0|>
def db_for_write(model, **hints):
"""Return db for wri... | stack_v2_sparse_classes_75kplus_train_068192 | 2,912 | no_license | [
{
"docstring": "Return db for read.",
"name": "db_for_read",
"signature": "def db_for_read(model, **hints)"
},
{
"docstring": "Return db for write.",
"name": "db_for_write",
"signature": "def db_for_write(model, **hints)"
},
{
"docstring": "Return flag to allow migrations.",
... | 4 | null | Implement the Python class `GoibiboApplicationRouter` described below.
Class description:
Goibibo Database Router. A router to control all database operations on models in the Goibibo Application.
Method signatures and docstrings:
- def db_for_read(model, **hints): Return db for read.
- def db_for_write(model, **hint... | Implement the Python class `GoibiboApplicationRouter` described below.
Class description:
Goibibo Database Router. A router to control all database operations on models in the Goibibo Application.
Method signatures and docstrings:
- def db_for_read(model, **hints): Return db for read.
- def db_for_write(model, **hint... | 26ca47c726f2c38211247a41d294e38a67cecb7f | <|skeleton|>
class GoibiboApplicationRouter:
"""Goibibo Database Router. A router to control all database operations on models in the Goibibo Application."""
def db_for_read(model, **hints):
"""Return db for read."""
<|body_0|>
def db_for_write(model, **hints):
"""Return db for wri... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoibiboApplicationRouter:
"""Goibibo Database Router. A router to control all database operations on models in the Goibibo Application."""
def db_for_read(model, **hints):
"""Return db for read."""
if model._meta.app_label in ['goibibo']:
db_name = 'goibibo_slave'
else... | the_stack_v2_python_sparse | depot/depot_proj/db_router.py | rsenwar/depot | train | 0 |
adeadef0a9995f28fbac2dc8a8e3efa9a3075c97 | [
"state = self.device.states.get(self.entity_description.key)\nif not state or not state.value:\n return None\nif self.entity_description.native_value:\n return self.entity_description.native_value(state.value)\nif isinstance(state.value, (dict, list)):\n return None\nreturn state.value",
"if not (default... | <|body_start_0|>
state = self.device.states.get(self.entity_description.key)
if not state or not state.value:
return None
if self.entity_description.native_value:
return self.entity_description.native_value(state.value)
if isinstance(state.value, (dict, list)):
... | Representation of an Overkiz Sensor. | OverkizStateSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OverkizStateSensor:
"""Representation of an Overkiz Sensor."""
def native_value(self) -> StateType:
"""Return the value of the sensor."""
<|body_0|>
def native_unit_of_measurement(self) -> str | None:
"""Return the unit of measurement."""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_068193 | 20,039 | permissive | [
{
"docstring": "Return the value of the sensor.",
"name": "native_value",
"signature": "def native_value(self) -> StateType"
},
{
"docstring": "Return the unit of measurement.",
"name": "native_unit_of_measurement",
"signature": "def native_unit_of_measurement(self) -> str | None"
}
] | 2 | stack_v2_sparse_classes_30k_train_042971 | Implement the Python class `OverkizStateSensor` described below.
Class description:
Representation of an Overkiz Sensor.
Method signatures and docstrings:
- def native_value(self) -> StateType: Return the value of the sensor.
- def native_unit_of_measurement(self) -> str | None: Return the unit of measurement. | Implement the Python class `OverkizStateSensor` described below.
Class description:
Representation of an Overkiz Sensor.
Method signatures and docstrings:
- def native_value(self) -> StateType: Return the value of the sensor.
- def native_unit_of_measurement(self) -> str | None: Return the unit of measurement.
<|ske... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class OverkizStateSensor:
"""Representation of an Overkiz Sensor."""
def native_value(self) -> StateType:
"""Return the value of the sensor."""
<|body_0|>
def native_unit_of_measurement(self) -> str | None:
"""Return the unit of measurement."""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OverkizStateSensor:
"""Representation of an Overkiz Sensor."""
def native_value(self) -> StateType:
"""Return the value of the sensor."""
state = self.device.states.get(self.entity_description.key)
if not state or not state.value:
return None
if self.entity_des... | the_stack_v2_python_sparse | homeassistant/components/overkiz/sensor.py | home-assistant/core | train | 35,501 |
db78845e26e90421164181e7742dcb33ccad6673 | [
"def transform(node):\n if node:\n vals.append(str(node.val))\n transform(node.left)\n transform(node.right)\nvals = []\ntransform(root)\nreturn ' '.join(vals)",
"def helper(lower=float('-inf'), upper=float('inf')):\n if not queue or queue[0] < lower or queue[0] > upper:\n return... | <|body_start_0|>
def transform(node):
if node:
vals.append(str(node.val))
transform(node.left)
transform(node.right)
vals = []
transform(root)
return ' '.join(vals)
<|end_body_0|>
<|body_start_1|>
def helper(lower=float... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize1(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
def serialize(self, root: TreeNode) -> str:
... | stack_v2_sparse_classes_75kplus_train_068194 | 3,487 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize1",
"signature": "def serialize1(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
},
{
"d... | 5 | stack_v2_sparse_classes_30k_train_013792 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize1(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
- def serialize(self,... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize1(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
- def serialize(self,... | 502e121cc25fcd81afe3d029145aeee56db794f0 | <|skeleton|>
class Codec:
def serialize1(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
def serialize(self, root: TreeNode) -> str:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize1(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
def transform(node):
if node:
vals.append(str(node.val))
transform(node.left)
transform(node.right)
vals = []
transform(root)... | the_stack_v2_python_sparse | 449serialize.py | qinzhouhit/leetcode | train | 0 | |
7f014722a979fc59a01016b085b9ed3765c49804 | [
"super(NoopResetEnv, self).__init__(env)\nself.noop_max = noop_max\nassert env.unwrapped.get_action_meanings()[0] == 'NOOP'",
"self.env.reset()\nnoops = np.random.randint(1, self.noop_max + 1)\nfor _ in range(noops):\n obs, _, _, _ = self.env.step(0)\nreturn obs"
] | <|body_start_0|>
super(NoopResetEnv, self).__init__(env)
self.noop_max = noop_max
assert env.unwrapped.get_action_meanings()[0] == 'NOOP'
<|end_body_0|>
<|body_start_1|>
self.env.reset()
noops = np.random.randint(1, self.noop_max + 1)
for _ in range(noops):
o... | NoopResetEnv | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NoopResetEnv:
def __init__(self, env=None, noop_max=30):
"""Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0."""
<|body_0|>
def _reset(self):
"""Do no-op action for a number of steps in [1, noop_max]."""
<|body... | stack_v2_sparse_classes_75kplus_train_068195 | 7,958 | no_license | [
{
"docstring": "Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0.",
"name": "__init__",
"signature": "def __init__(self, env=None, noop_max=30)"
},
{
"docstring": "Do no-op action for a number of steps in [1, noop_max].",
"name": "_reset",
... | 2 | stack_v2_sparse_classes_30k_train_032457 | Implement the Python class `NoopResetEnv` described below.
Class description:
Implement the NoopResetEnv class.
Method signatures and docstrings:
- def __init__(self, env=None, noop_max=30): Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0.
- def _reset(self): Do no-op... | Implement the Python class `NoopResetEnv` described below.
Class description:
Implement the NoopResetEnv class.
Method signatures and docstrings:
- def __init__(self, env=None, noop_max=30): Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0.
- def _reset(self): Do no-op... | 44fa78bf9c0e03be39d431d2b6d01f11198ab610 | <|skeleton|>
class NoopResetEnv:
def __init__(self, env=None, noop_max=30):
"""Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0."""
<|body_0|>
def _reset(self):
"""Do no-op action for a number of steps in [1, noop_max]."""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NoopResetEnv:
def __init__(self, env=None, noop_max=30):
"""Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0."""
super(NoopResetEnv, self).__init__(env)
self.noop_max = noop_max
assert env.unwrapped.get_action_meanings()[0] == 'N... | the_stack_v2_python_sparse | utils/DQNCore.py | pierresdr/belief_rpz_dmdp_ijcnn_2021 | train | 2 | |
18c133242c9ecee522b4a64558781d156c0cca95 | [
"self.name = kwargs.get('name')\nself.description = kwargs.get('description')\nself.project_name = kwargs.get('project_name')\nself.rule_settings = list()\nrule_settings = kwargs.get('rules')\nif not rule_settings:\n rule_settings = kwargs.get('rule_settings')\nif rule_settings:\n for rule_setting in rule_set... | <|body_start_0|>
self.name = kwargs.get('name')
self.description = kwargs.get('description')
self.project_name = kwargs.get('project_name')
self.rule_settings = list()
rule_settings = kwargs.get('rules')
if not rule_settings:
rule_settings = kwargs.get('rule_s... | Class representing a keypair configuration | SecurityGroupConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SecurityGroupConfig:
"""Class representing a keypair configuration"""
def __init__(self, **kwargs):
"""Constructor :param name: The security group's name (required) :param description: The security group's description (optional) :param project_name: The name of the project under whic... | stack_v2_sparse_classes_75kplus_train_068196 | 14,004 | permissive | [
{
"docstring": "Constructor :param name: The security group's name (required) :param description: The security group's description (optional) :param project_name: The name of the project under which the security group will be created :param rule_settings: a list of SecurityGroupRuleConfig objects :return:",
... | 2 | null | Implement the Python class `SecurityGroupConfig` described below.
Class description:
Class representing a keypair configuration
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor :param name: The security group's name (required) :param description: The security group's description (optional... | Implement the Python class `SecurityGroupConfig` described below.
Class description:
Class representing a keypair configuration
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor :param name: The security group's name (required) :param description: The security group's description (optional... | 567cdf25e1319fbc8a1a874dd18d21f88948e67e | <|skeleton|>
class SecurityGroupConfig:
"""Class representing a keypair configuration"""
def __init__(self, **kwargs):
"""Constructor :param name: The security group's name (required) :param description: The security group's description (optional) :param project_name: The name of the project under whic... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SecurityGroupConfig:
"""Class representing a keypair configuration"""
def __init__(self, **kwargs):
"""Constructor :param name: The security group's name (required) :param description: The security group's description (optional) :param project_name: The name of the project under which the securit... | the_stack_v2_python_sparse | snaps/config/security_group.py | opnfv/snaps | train | 2 |
a6fe4fceaeacd915c9e40ab1af13fc6f0518e332 | [
"super(LineCtrl, self).__init__(parent, id_, u'', size=size, style=wx.TE_PROCESS_ENTER, validator=util.IntValidator(0, 65535))\nself._last = 0\nself.GetDoc = get_doc",
"val = self.GetValue()\nif not val.isdigit():\n return\nval = int(val) - 1\ndoc = self.GetDoc()\nlines = doc.GetLineCount()\nif val > lines:\n ... | <|body_start_0|>
super(LineCtrl, self).__init__(parent, id_, u'', size=size, style=wx.TE_PROCESS_ENTER, validator=util.IntValidator(0, 65535))
self._last = 0
self.GetDoc = get_doc
<|end_body_0|>
<|body_start_1|>
val = self.GetValue()
if not val.isdigit():
return
... | A custom int control for providing a go To line control for the Command Bar. | LineCtrl | [
"BSD-3-Clause",
"LicenseRef-scancode-python-cwi",
"GPL-1.0-or-later",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-free-unknown",
"Python-2.0",
"LGPL-2.0-or-later",
"WxWindows-exception-3.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LineCtrl:
"""A custom int control for providing a go To line control for the Command Bar."""
def __init__(self, parent, id_, get_doc, size=wx.DefaultSize):
"""Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: call... | stack_v2_sparse_classes_75kplus_train_068197 | 44,291 | permissive | [
{
"docstring": "Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: callback method for retrieving a reference to the current document. @keyword size: Control Size (tuple)",
"name": "__init__",
"signature": "def __init__(self, parent, ... | 3 | stack_v2_sparse_classes_30k_train_049501 | Implement the Python class `LineCtrl` described below.
Class description:
A custom int control for providing a go To line control for the Command Bar.
Method signatures and docstrings:
- def __init__(self, parent, id_, get_doc, size=wx.DefaultSize): Initializes the LineCtrl control and its attributes. @param parent: ... | Implement the Python class `LineCtrl` described below.
Class description:
A custom int control for providing a go To line control for the Command Bar.
Method signatures and docstrings:
- def __init__(self, parent, id_, get_doc, size=wx.DefaultSize): Initializes the LineCtrl control and its attributes. @param parent: ... | 77d66c719b5746f37af51ad593e2941ed6fbba17 | <|skeleton|>
class LineCtrl:
"""A custom int control for providing a go To line control for the Command Bar."""
def __init__(self, parent, id_, get_doc, size=wx.DefaultSize):
"""Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: call... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LineCtrl:
"""A custom int control for providing a go To line control for the Command Bar."""
def __init__(self, parent, id_, get_doc, size=wx.DefaultSize):
"""Initializes the LineCtrl control and its attributes. @param parent: Parent Window @param id_: Control ID @param get_doc: callback method f... | the_stack_v2_python_sparse | base/lib/python2.7/site-packages/wx-3.0-gtk2/wx/tools/Editra/src/ed_cmdbar.py | jorgediazjr/dials-dev20191018 | train | 0 |
96df271790b98bf100fda916dd4956e0f08797ad | [
"sensor = BME680Sensor(self.mudpi, config)\nif sensor:\n self.add_component(sensor)\nreturn True",
"if not isinstance(config, list):\n config = [config]\nfor conf in config:\n if not conf.get('key'):\n raise ConfigError('Missing `key` in i2c display config.')\n if not conf.get('address'):\n ... | <|body_start_0|>
sensor = BME680Sensor(self.mudpi, config)
if sensor:
self.add_component(sensor)
return True
<|end_body_0|>
<|body_start_1|>
if not isinstance(config, list):
config = [config]
for conf in config:
if not conf.get('key'):
... | Interface | [
"BSD-4-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interface:
def load(self, config):
"""Load BME680 sensor component from configs"""
<|body_0|>
def validate(self, config):
"""Validate the bme680 config"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sensor = BME680Sensor(self.mudpi, config)
... | stack_v2_sparse_classes_75kplus_train_068198 | 3,300 | permissive | [
{
"docstring": "Load BME680 sensor component from configs",
"name": "load",
"signature": "def load(self, config)"
},
{
"docstring": "Validate the bme680 config",
"name": "validate",
"signature": "def validate(self, config)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018346 | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load BME680 sensor component from configs
- def validate(self, config): Validate the bme680 config | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load BME680 sensor component from configs
- def validate(self, config): Validate the bme680 config
<|skeleton|>
class Interface:
def load(self, co... | fb206b1136f529c7197f1e6b29629ed05630d377 | <|skeleton|>
class Interface:
def load(self, config):
"""Load BME680 sensor component from configs"""
<|body_0|>
def validate(self, config):
"""Validate the bme680 config"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interface:
def load(self, config):
"""Load BME680 sensor component from configs"""
sensor = BME680Sensor(self.mudpi, config)
if sensor:
self.add_component(sensor)
return True
def validate(self, config):
"""Validate the bme680 config"""
if not is... | the_stack_v2_python_sparse | mudpi/extensions/bme680/sensor.py | mistasp0ck/mudpi-core | train | 0 | |
942714f4b8023e452e056b7ea12d72b2d5563c29 | [
"super(PlacementShiftNet, self).__init__()\nself.num_out_dims = num_out_dims\nself.drop_prob = drop_prob\nself.layer1 = nn.Sequential(nn.Conv2d(in_channels, 32, kernel_size=5, stride=1, padding=1), nn.ReLU(), nn.Conv2d(32, 32, kernel_size=5, stride=1, padding=1), nn.ReLU(), nn.MaxPool2d(kernel_size=2, stride=2, dil... | <|body_start_0|>
super(PlacementShiftNet, self).__init__()
self.num_out_dims = num_out_dims
self.drop_prob = drop_prob
self.layer1 = nn.Sequential(nn.Conv2d(in_channels, 32, kernel_size=5, stride=1, padding=1), nn.ReLU(), nn.Conv2d(32, 32, kernel_size=5, stride=1, padding=1), nn.ReLU(), ... | PlacementShiftNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlacementShiftNet:
def __init__(self, in_channels=2, num_out_dims=2, fc1_size=1024, fc1_input2_size=64, fc2_size=512, input2_size=1, drop_prob=0.5):
"""Same as PlacementShiftDistNet, but the vanilla version (i.e. outputs scalars). Acitvation of final layer is linear. So other activations... | stack_v2_sparse_classes_75kplus_train_068199 | 13,489 | no_license | [
{
"docstring": "Same as PlacementShiftDistNet, but the vanilla version (i.e. outputs scalars). Acitvation of final layer is linear. So other activations can be applied outside of this class's forward",
"name": "__init__",
"signature": "def __init__(self, in_channels=2, num_out_dims=2, fc1_size=1024, fc1... | 2 | stack_v2_sparse_classes_30k_train_037294 | Implement the Python class `PlacementShiftNet` described below.
Class description:
Implement the PlacementShiftNet class.
Method signatures and docstrings:
- def __init__(self, in_channels=2, num_out_dims=2, fc1_size=1024, fc1_input2_size=64, fc2_size=512, input2_size=1, drop_prob=0.5): Same as PlacementShiftDistNet,... | Implement the Python class `PlacementShiftNet` described below.
Class description:
Implement the PlacementShiftNet class.
Method signatures and docstrings:
- def __init__(self, in_channels=2, num_out_dims=2, fc1_size=1024, fc1_input2_size=64, fc2_size=512, input2_size=1, drop_prob=0.5): Same as PlacementShiftDistNet,... | ad713e4eb15a2d9573622bace528fc86e19a6545 | <|skeleton|>
class PlacementShiftNet:
def __init__(self, in_channels=2, num_out_dims=2, fc1_size=1024, fc1_input2_size=64, fc2_size=512, input2_size=1, drop_prob=0.5):
"""Same as PlacementShiftDistNet, but the vanilla version (i.e. outputs scalars). Acitvation of final layer is linear. So other activations... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PlacementShiftNet:
def __init__(self, in_channels=2, num_out_dims=2, fc1_size=1024, fc1_input2_size=64, fc2_size=512, input2_size=1, drop_prob=0.5):
"""Same as PlacementShiftDistNet, but the vanilla version (i.e. outputs scalars). Acitvation of final layer is linear. So other activations can be applie... | the_stack_v2_python_sparse | manipulation/plating/RNNs/rnns/networks.py | HARPLab/gastronomy | train | 6 |
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