blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7bc6928595764d6306476afc99dd5a5f380e761b | [
"n, m = (len(board), len(board[0]))\nboard_copy = [[i for i in j] for j in board]\npos = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\nfor i in range(n):\n for j in range(m):\n sum_ = 0\n for l, r in pos:\n i_, j_ = (i + l, j + r)\n if 0 <= i_ < n and... | <|body_start_0|>
n, m = (len(board), len(board[0]))
board_copy = [[i for i in j] for j in board]
pos = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]
for i in range(n):
for j in range(m):
sum_ = 0
for l, r in pos:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def gameOfLife(self, board):
""":type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead."""
<|body_0|>
def gameOfLife(self, board):
""":type board: List[List[int]] :rtype: None Do not return anything, modify board in-... | stack_v2_sparse_classes_36k_train_013400 | 2,200 | no_license | [
{
"docstring": ":type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead.",
"name": "gameOfLife",
"signature": "def gameOfLife(self, board)"
},
{
"docstring": ":type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead."... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board): :type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead.
- def gameOfLife(self, board): :type board: List[Lis... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board): :type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead.
- def gameOfLife(self, board): :type board: List[Lis... | 63b7eedc720c1ce14880b80744dcd5ef7107065c | <|skeleton|>
class Solution:
def gameOfLife(self, board):
""":type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead."""
<|body_0|>
def gameOfLife(self, board):
""":type board: List[List[int]] :rtype: None Do not return anything, modify board in-... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def gameOfLife(self, board):
""":type board: List[List[int]] :rtype: None Do not return anything, modify board in-place instead."""
n, m = (len(board), len(board[0]))
board_copy = [[i for i in j] for j in board]
pos = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, ... | the_stack_v2_python_sparse | problems/gameOfLife.py | joddiy/leetcode | train | 1 | |
9162fc337c7bb1d6afcc15c29d05e15bc5989ac6 | [
"super().__init__()\nself._path = path\nself._detect_change = detect_change\nself._data = None\nif initialize_data:\n self.validate_change()",
"old_data = self._data\nif not self.validate_file():\n return False\nreturn old_data != self._data if self._detect_change else True",
"if not self._path.exists():\... | <|body_start_0|>
super().__init__()
self._path = path
self._detect_change = detect_change
self._data = None
if initialize_data:
self.validate_change()
<|end_body_0|>
<|body_start_1|>
old_data = self._data
if not self.validate_file():
retur... | DefinitionValidator | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefinitionValidator:
def __init__(self, path: Path, detect_change: bool=True, initialize_data: bool=True) -> None:
"""Validator for JSON and YAML files. Calling validate_change() will return True if the definition is valid and has changes. Parameters ---------- path : Path Path to the de... | stack_v2_sparse_classes_36k_train_013401 | 2,590 | permissive | [
{
"docstring": "Validator for JSON and YAML files. Calling validate_change() will return True if the definition is valid and has changes. Parameters ---------- path : Path Path to the definition file detect_change : bool, optional validation will only be successful if there are changes between current and previ... | 3 | stack_v2_sparse_classes_30k_train_004367 | Implement the Python class `DefinitionValidator` described below.
Class description:
Implement the DefinitionValidator class.
Method signatures and docstrings:
- def __init__(self, path: Path, detect_change: bool=True, initialize_data: bool=True) -> None: Validator for JSON and YAML files. Calling validate_change() w... | Implement the Python class `DefinitionValidator` described below.
Class description:
Implement the DefinitionValidator class.
Method signatures and docstrings:
- def __init__(self, path: Path, detect_change: bool=True, initialize_data: bool=True) -> None: Validator for JSON and YAML files. Calling validate_change() w... | b297ff015f2b69d7c74059c2d42ece1c29ea73ee | <|skeleton|>
class DefinitionValidator:
def __init__(self, path: Path, detect_change: bool=True, initialize_data: bool=True) -> None:
"""Validator for JSON and YAML files. Calling validate_change() will return True if the definition is valid and has changes. Parameters ---------- path : Path Path to the de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DefinitionValidator:
def __init__(self, path: Path, detect_change: bool=True, initialize_data: bool=True) -> None:
"""Validator for JSON and YAML files. Calling validate_change() will return True if the definition is valid and has changes. Parameters ---------- path : Path Path to the definition file ... | the_stack_v2_python_sparse | samcli/lib/utils/definition_validator.py | aws/aws-sam-cli | train | 1,402 | |
968b1b0349ce74e58af2193d7743ea3b4aafa6a4 | [
"def reverse(nl: ListNode):\n if nl is None or nl.next is None:\n return (nl, nl)\n hnode, tnode = reverse(nl.next)\n nl.next = None\n tnode.next = nl\n return (hnode, nl)\nret, _ = reverse(head)\nreturn ret",
"pre = None\nwhile head:\n pre, head.next, head = (head, pre, head.next)\nretur... | <|body_start_0|>
def reverse(nl: ListNode):
if nl is None or nl.next is None:
return (nl, nl)
hnode, tnode = reverse(nl.next)
nl.next = None
tnode.next = nl
return (hnode, nl)
ret, _ = reverse(head)
return ret
<|end_body... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList2(self, head: Optional[ListNode]) -> Optional[ListNode]:
"""20210907 Updated with recursively 28 / 28 test cases passed. Status: Accepted Runtime: 40 ms Memory Usage: 20.3 MB :param head: :return:"""
<|body_0|>
def reverseList(self, head: ListNode) -... | stack_v2_sparse_classes_36k_train_013402 | 1,605 | permissive | [
{
"docstring": "20210907 Updated with recursively 28 / 28 test cases passed. Status: Accepted Runtime: 40 ms Memory Usage: 20.3 MB :param head: :return:",
"name": "reverseList2",
"signature": "def reverseList2(self, head: Optional[ListNode]) -> Optional[ListNode]"
},
{
"docstring": "2022-08-23 :... | 2 | stack_v2_sparse_classes_30k_train_005252 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList2(self, head: Optional[ListNode]) -> Optional[ListNode]: 20210907 Updated with recursively 28 / 28 test cases passed. Status: Accepted Runtime: 40 ms Memory Usage:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList2(self, head: Optional[ListNode]) -> Optional[ListNode]: 20210907 Updated with recursively 28 / 28 test cases passed. Status: Accepted Runtime: 40 ms Memory Usage:... | 4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5 | <|skeleton|>
class Solution:
def reverseList2(self, head: Optional[ListNode]) -> Optional[ListNode]:
"""20210907 Updated with recursively 28 / 28 test cases passed. Status: Accepted Runtime: 40 ms Memory Usage: 20.3 MB :param head: :return:"""
<|body_0|>
def reverseList(self, head: ListNode) -... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseList2(self, head: Optional[ListNode]) -> Optional[ListNode]:
"""20210907 Updated with recursively 28 / 28 test cases passed. Status: Accepted Runtime: 40 ms Memory Usage: 20.3 MB :param head: :return:"""
def reverse(nl: ListNode):
if nl is None or nl.next is No... | the_stack_v2_python_sparse | src/206-ReverseLinkedList.py | Jiezhi/myleetcode | train | 1 | |
d91c296fa0155a3005edc3acbc8228f2c83e88f2 | [
"self.auth = auth\nself.homedata = None\nself.home_names = []\nself.room_names = []\nself.schedules = []\nself.home = home\nself.home_id = None",
"self.setup()\nif self.homedata is None:\n return []\nfor home in self.homedata.homes:\n if 'therm_schedules' in self.homedata.homes[home] and 'modules' in self.h... | <|body_start_0|>
self.auth = auth
self.homedata = None
self.home_names = []
self.room_names = []
self.schedules = []
self.home = home
self.home_id = None
<|end_body_0|>
<|body_start_1|>
self.setup()
if self.homedata is None:
return []
... | Representation Netatmo homes. | HomeData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HomeData:
"""Representation Netatmo homes."""
def __init__(self, auth, home=None):
"""Initialize the HomeData object."""
<|body_0|>
def get_home_names(self):
"""Get all the home names returned by NetAtmo API."""
<|body_1|>
def setup(self):
""... | stack_v2_sparse_classes_36k_train_013403 | 16,202 | permissive | [
{
"docstring": "Initialize the HomeData object.",
"name": "__init__",
"signature": "def __init__(self, auth, home=None)"
},
{
"docstring": "Get all the home names returned by NetAtmo API.",
"name": "get_home_names",
"signature": "def get_home_names(self)"
},
{
"docstring": "Retri... | 3 | null | Implement the Python class `HomeData` described below.
Class description:
Representation Netatmo homes.
Method signatures and docstrings:
- def __init__(self, auth, home=None): Initialize the HomeData object.
- def get_home_names(self): Get all the home names returned by NetAtmo API.
- def setup(self): Retrieve HomeD... | Implement the Python class `HomeData` described below.
Class description:
Representation Netatmo homes.
Method signatures and docstrings:
- def __init__(self, auth, home=None): Initialize the HomeData object.
- def get_home_names(self): Get all the home names returned by NetAtmo API.
- def setup(self): Retrieve HomeD... | 6e414983738d9495eb9e4f858e3e98e9e38869db | <|skeleton|>
class HomeData:
"""Representation Netatmo homes."""
def __init__(self, auth, home=None):
"""Initialize the HomeData object."""
<|body_0|>
def get_home_names(self):
"""Get all the home names returned by NetAtmo API."""
<|body_1|>
def setup(self):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HomeData:
"""Representation Netatmo homes."""
def __init__(self, auth, home=None):
"""Initialize the HomeData object."""
self.auth = auth
self.homedata = None
self.home_names = []
self.room_names = []
self.schedules = []
self.home = home
sel... | the_stack_v2_python_sparse | homeassistant/components/netatmo/climate.py | Watemlifts/home-assistant | train | 4 |
99a1f1f6d4accf81c3a65ca0c72a28e53e1f5d0a | [
"s_len = len(s)\np_len = len(p)\nstate_array = []\nfor i in range(s_len + 1):\n state_array.append([])\n for j in range(p_len + 1):\n state_array[-1].append(False)\nstate_array[0][0] = True\nfor idx, char in enumerate(p):\n if char == '*':\n state_array[0][idx + 1] = True\n else:\n ... | <|body_start_0|>
s_len = len(s)
p_len = len(p)
state_array = []
for i in range(s_len + 1):
state_array.append([])
for j in range(p_len + 1):
state_array[-1].append(False)
state_array[0][0] = True
for idx, char in enumerate(p):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isMatch_DP(self, s, p):
"""使用DP的方法来进行模式串与源串的匹配，注意DP的思维方式，将子问题的答案存储 :type s: str :type p: str :rtype: bool"""
<|body_0|>
def isMatch(self, s, p):
""":type s: str :type p: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_013404 | 2,411 | no_license | [
{
"docstring": "使用DP的方法来进行模式串与源串的匹配，注意DP的思维方式，将子问题的答案存储 :type s: str :type p: str :rtype: bool",
"name": "isMatch_DP",
"signature": "def isMatch_DP(self, s, p)"
},
{
"docstring": ":type s: str :type p: str :rtype: bool",
"name": "isMatch",
"signature": "def isMatch(self, s, p)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018790 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isMatch_DP(self, s, p): 使用DP的方法来进行模式串与源串的匹配，注意DP的思维方式，将子问题的答案存储 :type s: str :type p: str :rtype: bool
- def isMatch(self, s, p): :type s: str :type p: str :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isMatch_DP(self, s, p): 使用DP的方法来进行模式串与源串的匹配，注意DP的思维方式，将子问题的答案存储 :type s: str :type p: str :rtype: bool
- def isMatch(self, s, p): :type s: str :type p: str :rtype: bool
<|sk... | 45d116d790075b1583af6aecd00f8babfe2c3107 | <|skeleton|>
class Solution:
def isMatch_DP(self, s, p):
"""使用DP的方法来进行模式串与源串的匹配，注意DP的思维方式，将子问题的答案存储 :type s: str :type p: str :rtype: bool"""
<|body_0|>
def isMatch(self, s, p):
""":type s: str :type p: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isMatch_DP(self, s, p):
"""使用DP的方法来进行模式串与源串的匹配，注意DP的思维方式，将子问题的答案存储 :type s: str :type p: str :rtype: bool"""
s_len = len(s)
p_len = len(p)
state_array = []
for i in range(s_len + 1):
state_array.append([])
for j in range(p_len + 1):... | the_stack_v2_python_sparse | leetcode/dynamic_programming/exercise_44.py | YinongLong/Data-Structures-and-Algorithm-Analysis | train | 0 | |
70df75befe5a6fe23884255e8034bbd6765cc6af | [
"Parametre.__init__(self, 'créer', 'create')\nself.schema = '<modele_navire>'\nself.aide_courte = 'crée un navire sur un modèle'\nself.aide_longue = \"Crée un navire sur un modèle existant. Cette commande crée un navire mais ne le place dans aucune étendue d'eau.\"",
"modele = dic_masques['modele_navire'].modele\... | <|body_start_0|>
Parametre.__init__(self, 'créer', 'create')
self.schema = '<modele_navire>'
self.aide_courte = 'crée un navire sur un modèle'
self.aide_longue = "Crée un navire sur un modèle existant. Cette commande crée un navire mais ne le place dans aucune étendue d'eau."
<|end_body_... | Commande 'navire créer'. | PrmCreer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmCreer:
"""Commande 'navire créer'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
Parametre.__in... | stack_v2_sparse_classes_36k_train_013405 | 3,038 | permissive | [
{
"docstring": "Constructeur du paramètre",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Interprétation du paramètre",
"name": "interpreter",
"signature": "def interpreter(self, personnage, dic_masques)"
}
] | 2 | null | Implement the Python class `PrmCreer` described below.
Class description:
Commande 'navire créer'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre | Implement the Python class `PrmCreer` described below.
Class description:
Commande 'navire créer'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre
<|skeleton|>
class PrmCreer:
"""Commande 'navire créer... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmCreer:
"""Commande 'navire créer'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PrmCreer:
"""Commande 'navire créer'."""
def __init__(self):
"""Constructeur du paramètre"""
Parametre.__init__(self, 'créer', 'create')
self.schema = '<modele_navire>'
self.aide_courte = 'crée un navire sur un modèle'
self.aide_longue = "Crée un navire sur un modè... | the_stack_v2_python_sparse | src/secondaires/navigation/commandes/navire/creer.py | vincent-lg/tsunami | train | 5 |
fc57ec28a6b068de63451c5c1197219c35d645f7 | [
"self.k = k\nself.model = model\nself.start_id = start_id\nself.end_id = end_id\nself.max_length = max_length\nif min_length is None:\n min_length = 2\nself.min_length = min_length\nif num_required is None:\n num_required == 99999999\nself.num_required = num_required\nself.leaf_nodes = [BeamNode(start_id)]\ns... | <|body_start_0|>
self.k = k
self.model = model
self.start_id = start_id
self.end_id = end_id
self.max_length = max_length
if min_length is None:
min_length = 2
self.min_length = min_length
if num_required is None:
num_required == 99... | BeamSearch | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BeamSearch:
def __init__(self, k, model, start_id, end_id, max_length, min_length=None, num_required=None):
"""Args: k: Beam search size model: Neural Net to beam search start_id: Tokenizer id of start token <s> end_id: Tokenizer id of end token </s> max_length: Maximum length of ids (in... | stack_v2_sparse_classes_36k_train_013406 | 4,956 | no_license | [
{
"docstring": "Args: k: Beam search size model: Neural Net to beam search start_id: Tokenizer id of start token <s> end_id: Tokenizer id of end token </s> max_length: Maximum length of ids (include <s> and </s>) min_length: Minimun length of ids (include <s> and </s>) num_required: Searching ends when count of... | 3 | stack_v2_sparse_classes_30k_train_021105 | Implement the Python class `BeamSearch` described below.
Class description:
Implement the BeamSearch class.
Method signatures and docstrings:
- def __init__(self, k, model, start_id, end_id, max_length, min_length=None, num_required=None): Args: k: Beam search size model: Neural Net to beam search start_id: Tokenizer... | Implement the Python class `BeamSearch` described below.
Class description:
Implement the BeamSearch class.
Method signatures and docstrings:
- def __init__(self, k, model, start_id, end_id, max_length, min_length=None, num_required=None): Args: k: Beam search size model: Neural Net to beam search start_id: Tokenizer... | dc6fdb5ed4ee7746e731cbe449ce83a0831eb860 | <|skeleton|>
class BeamSearch:
def __init__(self, k, model, start_id, end_id, max_length, min_length=None, num_required=None):
"""Args: k: Beam search size model: Neural Net to beam search start_id: Tokenizer id of start token <s> end_id: Tokenizer id of end token </s> max_length: Maximum length of ids (in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BeamSearch:
def __init__(self, k, model, start_id, end_id, max_length, min_length=None, num_required=None):
"""Args: k: Beam search size model: Neural Net to beam search start_id: Tokenizer id of start token <s> end_id: Tokenizer id of end token </s> max_length: Maximum length of ids (include <s> and ... | the_stack_v2_python_sparse | utils/beam_search.py | robinstart/video2text_abr | train | 5 | |
7bcfaf280485922d37acc7737d336136f5e00350 | [
"assert avg_degree >= 1, 'Average degree should be greater than 0'\nself.min_nodes = min_nodes\nself.max_nodes = max_nodes\nself.avg_degree = avg_degree\nself.n_node_features = n_node_features\nself.n_edge_features = n_edge_features\nself.n_classes = n_classes\nself.task = task\nself.kwargs = kwargs",
"graphs, la... | <|body_start_0|>
assert avg_degree >= 1, 'Average degree should be greater than 0'
self.min_nodes = min_nodes
self.max_nodes = max_nodes
self.avg_degree = avg_degree
self.n_node_features = n_node_features
self.n_edge_features = n_edge_features
self.n_classes = n_c... | Generates a random graphs which can be used for testing or other purposes. The generated graph supports both node-level and graph-level labels. Example ------- >>> from deepchem.utils.fake_data_generator import FakeGraphGenerator >>> fgg = FakeGraphGenerator(min_nodes=8, max_nodes=10, n_node_features=5, avg_degree=8, n... | FakeGraphGenerator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FakeGraphGenerator:
"""Generates a random graphs which can be used for testing or other purposes. The generated graph supports both node-level and graph-level labels. Example ------- >>> from deepchem.utils.fake_data_generator import FakeGraphGenerator >>> fgg = FakeGraphGenerator(min_nodes=8, ma... | stack_v2_sparse_classes_36k_train_013407 | 6,134 | permissive | [
{
"docstring": "Parameters ---------- min_nodes: int, default 10 Minimum number of permissible nodes in a graph max_nodes: int, default 10 Maximum number of permissible nodes in a graph n_node_features: int, default 5 Average number of node features in a graph avg_degree: int, default 4 Average degree of the gr... | 2 | stack_v2_sparse_classes_30k_train_012105 | Implement the Python class `FakeGraphGenerator` described below.
Class description:
Generates a random graphs which can be used for testing or other purposes. The generated graph supports both node-level and graph-level labels. Example ------- >>> from deepchem.utils.fake_data_generator import FakeGraphGenerator >>> f... | Implement the Python class `FakeGraphGenerator` described below.
Class description:
Generates a random graphs which can be used for testing or other purposes. The generated graph supports both node-level and graph-level labels. Example ------- >>> from deepchem.utils.fake_data_generator import FakeGraphGenerator >>> f... | ee6e67ebcf7bf04259cf13aff6388e2b791fea3d | <|skeleton|>
class FakeGraphGenerator:
"""Generates a random graphs which can be used for testing or other purposes. The generated graph supports both node-level and graph-level labels. Example ------- >>> from deepchem.utils.fake_data_generator import FakeGraphGenerator >>> fgg = FakeGraphGenerator(min_nodes=8, ma... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FakeGraphGenerator:
"""Generates a random graphs which can be used for testing or other purposes. The generated graph supports both node-level and graph-level labels. Example ------- >>> from deepchem.utils.fake_data_generator import FakeGraphGenerator >>> fgg = FakeGraphGenerator(min_nodes=8, max_nodes=10, n... | the_stack_v2_python_sparse | deepchem/utils/fake_data_generator.py | deepchem/deepchem | train | 4,876 |
dd50d263bc895efde61bbaef02bb68baacff985d | [
"if os.path.isfile(file_path_name):\n os.remove(file_path_name)\nself.logger = logging.getLogger('losses_logger')\nself.logger.setLevel(1)\nfile_handler = logging.FileHandler(file_path_name)\nfile_handler.setLevel(1)\nself.logger.addHandler(file_handler)\nheader = ','.join(['Epoch', 'Train Loss', 'Valid Loss', '... | <|body_start_0|>
if os.path.isfile(file_path_name):
os.remove(file_path_name)
self.logger = logging.getLogger('losses_logger')
self.logger.setLevel(1)
file_handler = logging.FileHandler(file_path_name)
file_handler.setLevel(1)
self.logger.addHandler(file_handl... | Class definition for objects to write data to log files in a form which is then easy to be plotted. | LossesLogger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LossesLogger:
"""Class definition for objects to write data to log files in a form which is then easy to be plotted."""
def __init__(self, file_path_name):
"""Create a logger to store information for plotting."""
<|body_0|>
def log(self, epoch, storer):
"""Write ... | stack_v2_sparse_classes_36k_train_013408 | 6,647 | permissive | [
{
"docstring": "Create a logger to store information for plotting.",
"name": "__init__",
"signature": "def __init__(self, file_path_name)"
},
{
"docstring": "Write to the log file.",
"name": "log",
"signature": "def log(self, epoch, storer)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002251 | Implement the Python class `LossesLogger` described below.
Class description:
Class definition for objects to write data to log files in a form which is then easy to be plotted.
Method signatures and docstrings:
- def __init__(self, file_path_name): Create a logger to store information for plotting.
- def log(self, e... | Implement the Python class `LossesLogger` described below.
Class description:
Class definition for objects to write data to log files in a form which is then easy to be plotted.
Method signatures and docstrings:
- def __init__(self, file_path_name): Create a logger to store information for plotting.
- def log(self, e... | ce26ce718cf5cf18a18d38f273a84324dbd5f4b2 | <|skeleton|>
class LossesLogger:
"""Class definition for objects to write data to log files in a form which is then easy to be plotted."""
def __init__(self, file_path_name):
"""Create a logger to store information for plotting."""
<|body_0|>
def log(self, epoch, storer):
"""Write ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LossesLogger:
"""Class definition for objects to write data to log files in a form which is then easy to be plotted."""
def __init__(self, file_path_name):
"""Create a logger to store information for plotting."""
if os.path.isfile(file_path_name):
os.remove(file_path_name)
... | the_stack_v2_python_sparse | flexehr/training.py | medical-projects/flexible-ehr | train | 0 |
1abe9da6a20bb1086c0837faf9fd4e7af63f03e8 | [
"self._payment_dates = payment_dates\nself._payment_steps = payment_steps\nself._maturity = payment_dates[len(payment_dates) - 1]\nself._steps = payment_steps[len(payment_steps) - 1]\nself._coupon_rates = coupon_rates\nself._frequency = frequency\nself._bond_tree = {}",
"if not hw_tree._is_built:\n hw_tree.hw_... | <|body_start_0|>
self._payment_dates = payment_dates
self._payment_steps = payment_steps
self._maturity = payment_dates[len(payment_dates) - 1]
self._steps = payment_steps[len(payment_steps) - 1]
self._coupon_rates = coupon_rates
self._frequency = frequency
self._... | Representation of a Bond | Bond | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bond:
"""Representation of a Bond"""
def __init__(self, payment_dates, payment_steps, coupon_rates, frequency=2):
"""Initialize a Bond object Parameters ---------- payment_dates : array_like of shape (M, ) with datetime payment dates payment_steps : array_like of shape (M, ) with int... | stack_v2_sparse_classes_36k_train_013409 | 6,090 | no_license | [
{
"docstring": "Initialize a Bond object Parameters ---------- payment_dates : array_like of shape (M, ) with datetime payment dates payment_steps : array_like of shape (M, ) with integer payment steps that corresponds to the tree coupon_rates : scalar or array_like of shape (M, ) with the coupon rates frequenc... | 3 | stack_v2_sparse_classes_30k_train_018156 | Implement the Python class `Bond` described below.
Class description:
Representation of a Bond
Method signatures and docstrings:
- def __init__(self, payment_dates, payment_steps, coupon_rates, frequency=2): Initialize a Bond object Parameters ---------- payment_dates : array_like of shape (M, ) with datetime payment... | Implement the Python class `Bond` described below.
Class description:
Representation of a Bond
Method signatures and docstrings:
- def __init__(self, payment_dates, payment_steps, coupon_rates, frequency=2): Initialize a Bond object Parameters ---------- payment_dates : array_like of shape (M, ) with datetime payment... | 9f710a8de56fb9b4456c6f98be91f4b22ef5ede5 | <|skeleton|>
class Bond:
"""Representation of a Bond"""
def __init__(self, payment_dates, payment_steps, coupon_rates, frequency=2):
"""Initialize a Bond object Parameters ---------- payment_dates : array_like of shape (M, ) with datetime payment dates payment_steps : array_like of shape (M, ) with int... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Bond:
"""Representation of a Bond"""
def __init__(self, payment_dates, payment_steps, coupon_rates, frequency=2):
"""Initialize a Bond object Parameters ---------- payment_dates : array_like of shape (M, ) with datetime payment dates payment_steps : array_like of shape (M, ) with integer payment ... | the_stack_v2_python_sparse | Hull-White Model/simple_bond.py | jesusmramirez/Term-Structure-Models | train | 1 |
890d36ce87d07b45dbb853e4bc7bc8ab542ee963 | [
"m, n = (len(text1), len(text2))\npre = [0] * (n + 1)\ndp = [0] * (n + 1)\nfor i in range(m):\n for j in range(1, n + 1):\n if text1[i] == text2[j - 1]:\n dp[j] = pre[j - 1] + 1\n else:\n dp[j] = max(pre[j], dp[j - 1])\n pre[j - 1] = dp[j - 1]\n pre[j] = dp[j]\nretur... | <|body_start_0|>
m, n = (len(text1), len(text2))
pre = [0] * (n + 1)
dp = [0] * (n + 1)
for i in range(m):
for j in range(1, n + 1):
if text1[i] == text2[j - 1]:
dp[j] = pre[j - 1] + 1
else:
dp[j] = max(p... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestCommonSubsequence(self, text1: str, text2: str) -> int:
"""1143. 最长公共子序列 不改变顺序，不需要连续 :param text1: :param text2: :return:"""
<|body_0|>
def grayCode(self, n: int) -> List[int]:
"""89. 格雷编码 格雷编码是一个二进制数字系统，在该系统中，两个连续的数值仅有一个位数的差异。 给定一个代表编码总位数的非负整数 n... | stack_v2_sparse_classes_36k_train_013410 | 3,687 | no_license | [
{
"docstring": "1143. 最长公共子序列 不改变顺序，不需要连续 :param text1: :param text2: :return:",
"name": "longestCommonSubsequence",
"signature": "def longestCommonSubsequence(self, text1: str, text2: str) -> int"
},
{
"docstring": "89. 格雷编码 格雷编码是一个二进制数字系统，在该系统中，两个连续的数值仅有一个位数的差异。 给定一个代表编码总位数的非负整数 n，打印其格雷编码序列。即使... | 2 | stack_v2_sparse_classes_30k_train_018601 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonSubsequence(self, text1: str, text2: str) -> int: 1143. 最长公共子序列 不改变顺序，不需要连续 :param text1: :param text2: :return:
- def grayCode(self, n: int) -> List[int]: 89. 格... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonSubsequence(self, text1: str, text2: str) -> int: 1143. 最长公共子序列 不改变顺序，不需要连续 :param text1: :param text2: :return:
- def grayCode(self, n: int) -> List[int]: 89. 格... | 330330ef6bc42eeb17f4dea53c30d230506b4e8f | <|skeleton|>
class Solution:
def longestCommonSubsequence(self, text1: str, text2: str) -> int:
"""1143. 最长公共子序列 不改变顺序，不需要连续 :param text1: :param text2: :return:"""
<|body_0|>
def grayCode(self, n: int) -> List[int]:
"""89. 格雷编码 格雷编码是一个二进制数字系统，在该系统中，两个连续的数值仅有一个位数的差异。 给定一个代表编码总位数的非负整数 n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestCommonSubsequence(self, text1: str, text2: str) -> int:
"""1143. 最长公共子序列 不改变顺序，不需要连续 :param text1: :param text2: :return:"""
m, n = (len(text1), len(text2))
pre = [0] * (n + 1)
dp = [0] * (n + 1)
for i in range(m):
for j in range(1, n + ... | the_stack_v2_python_sparse | Code/leetcode_everyday/0403.py | NiceToMeeetU/ToGetReady | train | 0 | |
d458279e3c6a589739bc64d944eae1fc6579cf20 | [
"size = len(prices)\nresult = 0\nfor i in range(size):\n for j in range(i + 1, size):\n if prices[j] >= prices[i]:\n result = max(result, prices[j] - prices[i])\nreturn result",
"size = len(prices)\nresult = 0\nmin_price = 10000000\nfor i in range(size):\n min_price = min(min_price, prices... | <|body_start_0|>
size = len(prices)
result = 0
for i in range(size):
for j in range(i + 1, size):
if prices[j] >= prices[i]:
result = max(result, prices[j] - prices[i])
return result
<|end_body_0|>
<|body_start_1|>
size = len(price... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit_brute(self, prices):
"""暴力解法"""
<|body_0|>
def maxProfit_greedy(self, prices):
"""贪心算法, 最左侧的最小值和最右侧的最大值之间差值"""
<|body_1|>
def maxProfit(self, prices):
"""DP, dp[i][0]: 第i天持有股票时的现金 dp[i][1]: 第i天不持有股票时的现金"""
<|body_2... | stack_v2_sparse_classes_36k_train_013411 | 1,345 | no_license | [
{
"docstring": "暴力解法",
"name": "maxProfit_brute",
"signature": "def maxProfit_brute(self, prices)"
},
{
"docstring": "贪心算法, 最左侧的最小值和最右侧的最大值之间差值",
"name": "maxProfit_greedy",
"signature": "def maxProfit_greedy(self, prices)"
},
{
"docstring": "DP, dp[i][0]: 第i天持有股票时的现金 dp[i][1]: 第... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit_brute(self, prices): 暴力解法
- def maxProfit_greedy(self, prices): 贪心算法, 最左侧的最小值和最右侧的最大值之间差值
- def maxProfit(self, prices): DP, dp[i][0]: 第i天持有股票时的现金 dp[i][1]: 第i天不持有股... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit_brute(self, prices): 暴力解法
- def maxProfit_greedy(self, prices): 贪心算法, 最左侧的最小值和最右侧的最大值之间差值
- def maxProfit(self, prices): DP, dp[i][0]: 第i天持有股票时的现金 dp[i][1]: 第i天不持有股... | be46de7cdd29557c01d4b89f1c2f638e055b6d70 | <|skeleton|>
class Solution:
def maxProfit_brute(self, prices):
"""暴力解法"""
<|body_0|>
def maxProfit_greedy(self, prices):
"""贪心算法, 最左侧的最小值和最右侧的最大值之间差值"""
<|body_1|>
def maxProfit(self, prices):
"""DP, dp[i][0]: 第i天持有股票时的现金 dp[i][1]: 第i天不持有股票时的现金"""
<|body_2... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit_brute(self, prices):
"""暴力解法"""
size = len(prices)
result = 0
for i in range(size):
for j in range(i + 1, size):
if prices[j] >= prices[i]:
result = max(result, prices[j] - prices[i])
return result
... | the_stack_v2_python_sparse | python/No121.py | OhOHOh/LeetCodePractice | train | 0 | |
4ef11d7f202667cda8a12ade33d06daef142ee12 | [
"self.method = 'GET'\nself.headers = {}\nself.path = ''\nself.query = {}\nself.body = ''",
"args = self.body.split('&')\nf = {}\nfor arg in args:\n k, v = arg.split('=')\n f[unquote(k)] = unquote(v)\nreturn f"
] | <|body_start_0|>
self.method = 'GET'
self.headers = {}
self.path = ''
self.query = {}
self.body = ''
<|end_body_0|>
<|body_start_1|>
args = self.body.split('&')
f = {}
for arg in args:
k, v = arg.split('=')
f[unquote(k)] = unquote(... | Request | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Request:
def __init__(self):
"""GET /top250 HTTP/1.1 Host: movie.douban.com Connection: keep-alive body"""
<|body_0|>
def form(self):
"""form 函数用于把 body 解析为一个字典并返回 body 的格式如下 a=b&c=d&e=1 可能编码出现: '%E1%E2', 这里需要把 body 里面的数据 unquote 解码 unquote 可以 unquote('/El%20Ni%C3%B1... | stack_v2_sparse_classes_36k_train_013412 | 3,725 | no_license | [
{
"docstring": "GET /top250 HTTP/1.1 Host: movie.douban.com Connection: keep-alive body",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "form 函数用于把 body 解析为一个字典并返回 body 的格式如下 a=b&c=d&e=1 可能编码出现: '%E1%E2', 这里需要把 body 里面的数据 unquote 解码 unquote 可以 unquote('/El%20Ni%C3%B1o/'... | 2 | stack_v2_sparse_classes_30k_train_003546 | Implement the Python class `Request` described below.
Class description:
Implement the Request class.
Method signatures and docstrings:
- def __init__(self): GET /top250 HTTP/1.1 Host: movie.douban.com Connection: keep-alive body
- def form(self): form 函数用于把 body 解析为一个字典并返回 body 的格式如下 a=b&c=d&e=1 可能编码出现: '%E1%E2', 这里... | Implement the Python class `Request` described below.
Class description:
Implement the Request class.
Method signatures and docstrings:
- def __init__(self): GET /top250 HTTP/1.1 Host: movie.douban.com Connection: keep-alive body
- def form(self): form 函数用于把 body 解析为一个字典并返回 body 的格式如下 a=b&c=d&e=1 可能编码出现: '%E1%E2', 这里... | 80ec43c52bb5515e1cfdc99e6ca4c1c93299bedb | <|skeleton|>
class Request:
def __init__(self):
"""GET /top250 HTTP/1.1 Host: movie.douban.com Connection: keep-alive body"""
<|body_0|>
def form(self):
"""form 函数用于把 body 解析为一个字典并返回 body 的格式如下 a=b&c=d&e=1 可能编码出现: '%E1%E2', 这里需要把 body 里面的数据 unquote 解码 unquote 可以 unquote('/El%20Ni%C3%B1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Request:
def __init__(self):
"""GET /top250 HTTP/1.1 Host: movie.douban.com Connection: keep-alive body"""
self.method = 'GET'
self.headers = {}
self.path = ''
self.query = {}
self.body = ''
def form(self):
"""form 函数用于把 body 解析为一个字典并返回 body 的格式如下 a... | the_stack_v2_python_sparse | todo/python/flask/todo-V4.5.0-jinja/server.py | hacker0limbo/todo | train | 4 | |
bfe29d0d21e448dcfaef5393dd2eaade2cc5cde5 | [
"self.projectId.append(projectId)\nself.name.append(name)\nself.owner.append(owner)\nself.tag.append(tag)\nself.description.append(description)\nsuper(Checklist, self).__init__()",
"self.validate_object()\nif kind is None or kind == 'create':\n self.only_available_attrs(['description', 'owner', 'tag'])\n re... | <|body_start_0|>
self.projectId.append(projectId)
self.name.append(name)
self.owner.append(owner)
self.tag.append(tag)
self.description.append(description)
super(Checklist, self).__init__()
<|end_body_0|>
<|body_start_1|>
self.validate_object()
if kind is... | Checklist | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Checklist:
def __init__(self, name: str=Empty, projectId=Empty, owner: str=Empty, tag: str=Empty, description: str=Empty):
""":param name: :param projectId: :param owner: :param tag: :param description:"""
<|body_0|>
def __todict__(self, kind=None):
""":param kind: :... | stack_v2_sparse_classes_36k_train_013413 | 2,754 | no_license | [
{
"docstring": ":param name: :param projectId: :param owner: :param tag: :param description:",
"name": "__init__",
"signature": "def __init__(self, name: str=Empty, projectId=Empty, owner: str=Empty, tag: str=Empty, description: str=Empty)"
},
{
"docstring": ":param kind: :return:",
"name": ... | 2 | null | Implement the Python class `Checklist` described below.
Class description:
Implement the Checklist class.
Method signatures and docstrings:
- def __init__(self, name: str=Empty, projectId=Empty, owner: str=Empty, tag: str=Empty, description: str=Empty): :param name: :param projectId: :param owner: :param tag: :param ... | Implement the Python class `Checklist` described below.
Class description:
Implement the Checklist class.
Method signatures and docstrings:
- def __init__(self, name: str=Empty, projectId=Empty, owner: str=Empty, tag: str=Empty, description: str=Empty): :param name: :param projectId: :param owner: :param tag: :param ... | 623d23917ecf6761e7254d7d6a4881b6a05e11f8 | <|skeleton|>
class Checklist:
def __init__(self, name: str=Empty, projectId=Empty, owner: str=Empty, tag: str=Empty, description: str=Empty):
""":param name: :param projectId: :param owner: :param tag: :param description:"""
<|body_0|>
def __todict__(self, kind=None):
""":param kind: :... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Checklist:
def __init__(self, name: str=Empty, projectId=Empty, owner: str=Empty, tag: str=Empty, description: str=Empty):
""":param name: :param projectId: :param owner: :param tag: :param description:"""
self.projectId.append(projectId)
self.name.append(name)
self.owner.appen... | the_stack_v2_python_sparse | space_sdk/space_types/checklist.py | AnthraxisBR/jetbrains-space-python-sdk | train | 0 | |
a4fe45be14699409e3a83f504c7aaab129249104 | [
"if root is None:\n return 0\ndeep = 1\nqueue = []\nqueue.append(root)\nqueue.append(deep)\nwhile len(queue) > 0:\n ele = queue.pop(0)\n if type(ele) is TreeNode:\n if ele.left is not None:\n queue.append(ele.left)\n if ele.right is not None:\n queue.append(ele.right)\n ... | <|body_start_0|>
if root is None:
return 0
deep = 1
queue = []
queue.append(root)
queue.append(deep)
while len(queue) > 0:
ele = queue.pop(0)
if type(ele) is TreeNode:
if ele.left is not None:
queue.a... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxDepth(self, root: TreeNode) -> int:
"""思路：类似于图的广度搜索，按层遍历。借助于队列的结构。 :param root: :return:"""
<|body_0|>
def max_Depth(self, root: TreeNode) -> int:
"""思路：递归，最大层=MAX(左子树层数，右子树层数)+1 :param root: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_36k_train_013414 | 1,781 | no_license | [
{
"docstring": "思路：类似于图的广度搜索，按层遍历。借助于队列的结构。 :param root: :return:",
"name": "maxDepth",
"signature": "def maxDepth(self, root: TreeNode) -> int"
},
{
"docstring": "思路：递归，最大层=MAX(左子树层数，右子树层数)+1 :param root: :return:",
"name": "max_Depth",
"signature": "def max_Depth(self, root: TreeNode) ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxDepth(self, root: TreeNode) -> int: 思路：类似于图的广度搜索，按层遍历。借助于队列的结构。 :param root: :return:
- def max_Depth(self, root: TreeNode) -> int: 思路：递归，最大层=MAX(左子树层数，右子树层数)+1 :param roo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxDepth(self, root: TreeNode) -> int: 思路：类似于图的广度搜索，按层遍历。借助于队列的结构。 :param root: :return:
- def max_Depth(self, root: TreeNode) -> int: 思路：递归，最大层=MAX(左子树层数，右子树层数)+1 :param roo... | 46cfe84921a9a3e865edd1f94e7807b320b53778 | <|skeleton|>
class Solution:
def maxDepth(self, root: TreeNode) -> int:
"""思路：类似于图的广度搜索，按层遍历。借助于队列的结构。 :param root: :return:"""
<|body_0|>
def max_Depth(self, root: TreeNode) -> int:
"""思路：递归，最大层=MAX(左子树层数，右子树层数)+1 :param root: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxDepth(self, root: TreeNode) -> int:
"""思路：类似于图的广度搜索，按层遍历。借助于队列的结构。 :param root: :return:"""
if root is None:
return 0
deep = 1
queue = []
queue.append(root)
queue.append(deep)
while len(queue) > 0:
ele = queue.pop... | the_stack_v2_python_sparse | 2020-08/Q104-max-depth.py | EAGLE50/LearnLeetCode | train | 0 | |
3f1cc7a524db9dd65f30dd029ec638665f3b0b41 | [
"bloc_names2country_codes = {b.name: [c.code for c in b.countries.all()] for b in Bloc.objects.prefetch_related('countries')}\nall_country_codes = set(Country.objects.values_list('code', flat=True))\ndecomposer = SetDecomposer(bloc_names2country_codes, all_country_codes)\nreturn lambda countries: decomposer.decompo... | <|body_start_0|>
bloc_names2country_codes = {b.name: [c.code for c in b.countries.all()] for b in Bloc.objects.prefetch_related('countries')}
all_country_codes = set(Country.objects.values_list('code', flat=True))
decomposer = SetDecomposer(bloc_names2country_codes, all_country_codes)
re... | BlocManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlocManager:
def make_get_description_from_countries(self) -> 'Callable[[Iterable[Country]], str]':
"""Return a function taking as input an iterable of countries and returning a string describing the set of countries in terms of blocs."""
<|body_0|>
def get_country_id2contai... | stack_v2_sparse_classes_36k_train_013415 | 1,851 | no_license | [
{
"docstring": "Return a function taking as input an iterable of countries and returning a string describing the set of countries in terms of blocs.",
"name": "make_get_description_from_countries",
"signature": "def make_get_description_from_countries(self) -> 'Callable[[Iterable[Country]], str]'"
},
... | 2 | null | Implement the Python class `BlocManager` described below.
Class description:
Implement the BlocManager class.
Method signatures and docstrings:
- def make_get_description_from_countries(self) -> 'Callable[[Iterable[Country]], str]': Return a function taking as input an iterable of countries and returning a string des... | Implement the Python class `BlocManager` described below.
Class description:
Implement the BlocManager class.
Method signatures and docstrings:
- def make_get_description_from_countries(self) -> 'Callable[[Iterable[Country]], str]': Return a function taking as input an iterable of countries and returning a string des... | 196e849cb70de44523132e67659f8344f8d5cc0a | <|skeleton|>
class BlocManager:
def make_get_description_from_countries(self) -> 'Callable[[Iterable[Country]], str]':
"""Return a function taking as input an iterable of countries and returning a string describing the set of countries in terms of blocs."""
<|body_0|>
def get_country_id2contai... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BlocManager:
def make_get_description_from_countries(self) -> 'Callable[[Iterable[Country]], str]':
"""Return a function taking as input an iterable of countries and returning a string describing the set of countries in terms of blocs."""
bloc_names2country_codes = {b.name: [c.code for c in b.... | the_stack_v2_python_sparse | backend/app/models/bloc.py | dandavison/_owldock | train | 0 | |
23f6d393e0cae3bd82b6274a4a3fde5988f5b513 | [
"self._key_to_value: Dict[Hashable, object] = {}\nself._key_to_value_get = self._key_to_value.get\nself._key_to_value_set = self._key_to_value.__setitem__\nself._lock = Lock()",
"assert isinstance(key, Hashable), f'{repr(key)} unhashable.'\nwith self._lock:\n value_old = self._key_to_value_get(key, _SENTINEL)\... | <|body_start_0|>
self._key_to_value: Dict[Hashable, object] = {}
self._key_to_value_get = self._key_to_value.get
self._key_to_value_set = self._key_to_value.__setitem__
self._lock = Lock()
<|end_body_0|>
<|body_start_1|>
assert isinstance(key, Hashable), f'{repr(key)} unhashable... | **Thread-safe strongly unbounded cache** (i.e., mapping of unlimited size from strongly referenced arbitrary keys onto strongly referenced arbitrary values, whose methods are guaranteed to behave thread-safely). Design ------ Cache implementations typically employ weak references for safety. Employing strong references... | CacheUnboundedStrong | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CacheUnboundedStrong:
"""**Thread-safe strongly unbounded cache** (i.e., mapping of unlimited size from strongly referenced arbitrary keys onto strongly referenced arbitrary values, whose methods are guaranteed to behave thread-safely). Design ------ Cache implementations typically employ weak re... | stack_v2_sparse_classes_36k_train_013416 | 8,884 | permissive | [
{
"docstring": "Initialize this cache to an empty cache.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Statically associate the passed key with the passed value if this cache has yet to cache this key (i.e., if this method has yet to be passed this key) and, ... | 3 | null | Implement the Python class `CacheUnboundedStrong` described below.
Class description:
**Thread-safe strongly unbounded cache** (i.e., mapping of unlimited size from strongly referenced arbitrary keys onto strongly referenced arbitrary values, whose methods are guaranteed to behave thread-safely). Design ------ Cache i... | Implement the Python class `CacheUnboundedStrong` described below.
Class description:
**Thread-safe strongly unbounded cache** (i.e., mapping of unlimited size from strongly referenced arbitrary keys onto strongly referenced arbitrary values, whose methods are guaranteed to behave thread-safely). Design ------ Cache i... | 3df840dfd11f09dc9b6f04cb6d29703909e2cb0a | <|skeleton|>
class CacheUnboundedStrong:
"""**Thread-safe strongly unbounded cache** (i.e., mapping of unlimited size from strongly referenced arbitrary keys onto strongly referenced arbitrary values, whose methods are guaranteed to behave thread-safely). Design ------ Cache implementations typically employ weak re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CacheUnboundedStrong:
"""**Thread-safe strongly unbounded cache** (i.e., mapping of unlimited size from strongly referenced arbitrary keys onto strongly referenced arbitrary values, whose methods are guaranteed to behave thread-safely). Design ------ Cache implementations typically employ weak references for ... | the_stack_v2_python_sparse | beartype/_util/cache/map/utilmapbig.py | MTouny/beartype | train | 0 |
5116ed1d9654a14fa2d3b76f27dce49e1f6eb6fd | [
"super(ClusterUNet, self).__init__(cfg, name=name)\nself.model_config = cfg['modules'][name]\nself.num_classes = self.model_config.get('num_classes', 5)\nself.N = self.model_config.get('N', 1)\nself.simpleN = self.model_config.get('simple_conv', False)\nself.embedding_dim = self.model_config.get('embedding_dim', 8)... | <|body_start_0|>
super(ClusterUNet, self).__init__(cfg, name=name)
self.model_config = cfg['modules'][name]
self.num_classes = self.model_config.get('num_classes', 5)
self.N = self.model_config.get('N', 1)
self.simpleN = self.model_config.get('simple_conv', False)
self.em... | ClusterUNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClusterUNet:
def __init__(self, cfg, name='clusterunet'):
"""Multi-Scale Clustering Network for Particle Instance Segmentation. ClusterUNet adds N convolution layers to each of the decoding path feature tensor of UResNet and outputs an embedding for each spatial resolution. This module s... | stack_v2_sparse_classes_36k_train_013417 | 11,035 | no_license | [
{
"docstring": "Multi-Scale Clustering Network for Particle Instance Segmentation. ClusterUNet adds N convolution layers to each of the decoding path feature tensor of UResNet and outputs an embedding for each spatial resolution. This module serves as a base architecture for clustering on multiple spatial resol... | 3 | stack_v2_sparse_classes_30k_train_001924 | Implement the Python class `ClusterUNet` described below.
Class description:
Implement the ClusterUNet class.
Method signatures and docstrings:
- def __init__(self, cfg, name='clusterunet'): Multi-Scale Clustering Network for Particle Instance Segmentation. ClusterUNet adds N convolution layers to each of the decodin... | Implement the Python class `ClusterUNet` described below.
Class description:
Implement the ClusterUNet class.
Method signatures and docstrings:
- def __init__(self, cfg, name='clusterunet'): Multi-Scale Clustering Network for Particle Instance Segmentation. ClusterUNet adds N convolution layers to each of the decodin... | 02269c7ab25d031afd1dd1a60c4d3826cd03a464 | <|skeleton|>
class ClusterUNet:
def __init__(self, cfg, name='clusterunet'):
"""Multi-Scale Clustering Network for Particle Instance Segmentation. ClusterUNet adds N convolution layers to each of the decoding path feature tensor of UResNet and outputs an embedding for each spatial resolution. This module s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClusterUNet:
def __init__(self, cfg, name='clusterunet'):
"""Multi-Scale Clustering Network for Particle Instance Segmentation. ClusterUNet adds N convolution layers to each of the decoding path feature tensor of UResNet and outputs an embedding for each spatial resolution. This module serves as a bas... | the_stack_v2_python_sparse | mlreco/models/cluster_cnn/clusternet.py | Picodes/lartpc_mlreco3d | train | 0 | |
acef56a8770700fd9b921c31fe63419e0ec40992 | [
"super(HealpixSlicer, self).__init__(verbose=verbose, lonCol=lonCol, latCol=latCol, badval=badval, radius=radius, leafsize=leafsize, useCamera=useCamera, rotSkyPosColName=rotSkyPosColName, mjdColName=mjdColName, chipNames=chipNames, latLonDeg=latLonDeg)\nif not hp.isnsideok(nside):\n raise ValueError('Valid valu... | <|body_start_0|>
super(HealpixSlicer, self).__init__(verbose=verbose, lonCol=lonCol, latCol=latCol, badval=badval, radius=radius, leafsize=leafsize, useCamera=useCamera, rotSkyPosColName=rotSkyPosColName, mjdColName=mjdColName, chipNames=chipNames, latLonDeg=latLonDeg)
if not hp.isnsideok(nside):
... | A spatial slicer that evaluates pointings on a healpix-based grid. Note that a healpix slicer is intended to evaluate the sky on a spatial grid. Usually this grid will be something like RA as the lonCol and Dec as the latCol. However, it could also be altitude and azimuth, in which case altitude as latCol, and azimuth ... | HealpixSlicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HealpixSlicer:
"""A spatial slicer that evaluates pointings on a healpix-based grid. Note that a healpix slicer is intended to evaluate the sky on a spatial grid. Usually this grid will be something like RA as the lonCol and Dec as the latCol. However, it could also be altitude and azimuth, in wh... | stack_v2_sparse_classes_36k_train_013418 | 7,657 | no_license | [
{
"docstring": "Instantiate and set up healpix slicer object.",
"name": "__init__",
"signature": "def __init__(self, nside=128, lonCol='fieldRA', latCol='fieldDec', latLonDeg=True, verbose=True, badval=hp.UNSEEN, useCache=True, leafsize=100, radius=1.75, useCamera=False, rotSkyPosColName='rotSkyPos', mj... | 3 | stack_v2_sparse_classes_30k_train_007108 | Implement the Python class `HealpixSlicer` described below.
Class description:
A spatial slicer that evaluates pointings on a healpix-based grid. Note that a healpix slicer is intended to evaluate the sky on a spatial grid. Usually this grid will be something like RA as the lonCol and Dec as the latCol. However, it co... | Implement the Python class `HealpixSlicer` described below.
Class description:
A spatial slicer that evaluates pointings on a healpix-based grid. Note that a healpix slicer is intended to evaluate the sky on a spatial grid. Usually this grid will be something like RA as the lonCol and Dec as the latCol. However, it co... | 81c08613e966e6c516dfda7a2c1a491e77170140 | <|skeleton|>
class HealpixSlicer:
"""A spatial slicer that evaluates pointings on a healpix-based grid. Note that a healpix slicer is intended to evaluate the sky on a spatial grid. Usually this grid will be something like RA as the lonCol and Dec as the latCol. However, it could also be altitude and azimuth, in wh... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HealpixSlicer:
"""A spatial slicer that evaluates pointings on a healpix-based grid. Note that a healpix slicer is intended to evaluate the sky on a spatial grid. Usually this grid will be something like RA as the lonCol and Dec as the latCol. However, it could also be altitude and azimuth, in which case alti... | the_stack_v2_python_sparse | python/lsst/sims/maf/slicers/healpixSlicer.py | rjassef/sims_maf | train | 0 |
a1069eb9d5e7466eadaa2b7a688c599ec6e65552 | [
"if len(s) <= 1:\n return 0\ndp = [0, 0]\nif s[0] == '0':\n dp[1] = 1\nelse:\n dp[0] = 1\nfor i in range(1, len(s)):\n dp[1] = min(dp[0], dp[1]) + (0 if s[i] == '1' else 1)\n dp[0] = dp[0] + (0 if s[i] == '0' else 1)\nreturn min(dp)",
"cnt = 0\nans = 0\nfor i in range(len(s)):\n if s[i] == '1':\... | <|body_start_0|>
if len(s) <= 1:
return 0
dp = [0, 0]
if s[0] == '0':
dp[1] = 1
else:
dp[0] = 1
for i in range(1, len(s)):
dp[1] = min(dp[0], dp[1]) + (0 if s[i] == '1' else 1)
dp[0] = dp[0] + (0 if s[i] == '0' else 1)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minFlipsMonoIncr0(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def minFlipsMonoIncr(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) <= 1:
return 0
dp = [0, 0]
... | stack_v2_sparse_classes_36k_train_013419 | 1,869 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "minFlipsMonoIncr0",
"signature": "def minFlipsMonoIncr0(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "minFlipsMonoIncr",
"signature": "def minFlipsMonoIncr(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minFlipsMonoIncr0(self, s): :type s: str :rtype: int
- def minFlipsMonoIncr(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minFlipsMonoIncr0(self, s): :type s: str :rtype: int
- def minFlipsMonoIncr(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def minFlipsMonoIncr0(self, ... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def minFlipsMonoIncr0(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def minFlipsMonoIncr(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minFlipsMonoIncr0(self, s):
""":type s: str :rtype: int"""
if len(s) <= 1:
return 0
dp = [0, 0]
if s[0] == '0':
dp[1] = 1
else:
dp[0] = 1
for i in range(1, len(s)):
dp[1] = min(dp[0], dp[1]) + (0 if s... | the_stack_v2_python_sparse | 剑指 Offer II 092. 翻转字符.py | yangyuxiang1996/leetcode | train | 0 | |
7a50fd0b5cf10a93cc6a5c7e6d77e7f54aaf790b | [
"for key, value_set in set_map.items():\n for value_in_set in value_set:\n if value_in_set.__class__ == enum_value.__class__ and value_in_set == enum_value:\n return key\nreturn None",
"if value.command_class == CommandClass.BATTERY:\n return NumericSensorDataTemplateData(ENTITY_DESC_KEY_B... | <|body_start_0|>
for key, value_set in set_map.items():
for value_in_set in value_set:
if value_in_set.__class__ == enum_value.__class__ and value_in_set == enum_value:
return key
return None
<|end_body_0|>
<|body_start_1|>
if value.command_class ... | Data template class for Z-Wave Sensor entities. | NumericSensorDataTemplate | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumericSensorDataTemplate:
"""Data template class for Z-Wave Sensor entities."""
def find_key_from_matching_set(enum_value: MultilevelSensorType | MultilevelSensorScaleType | MeterScaleType | EnergyProductionParameter | EnergyProductionScaleType, set_map: Mapping[str, list[MultilevelSensorTy... | stack_v2_sparse_classes_36k_train_013420 | 22,449 | permissive | [
{
"docstring": "Find a key in a set map that matches a given enum value.",
"name": "find_key_from_matching_set",
"signature": "def find_key_from_matching_set(enum_value: MultilevelSensorType | MultilevelSensorScaleType | MeterScaleType | EnergyProductionParameter | EnergyProductionScaleType, set_map: Ma... | 2 | null | Implement the Python class `NumericSensorDataTemplate` described below.
Class description:
Data template class for Z-Wave Sensor entities.
Method signatures and docstrings:
- def find_key_from_matching_set(enum_value: MultilevelSensorType | MultilevelSensorScaleType | MeterScaleType | EnergyProductionParameter | Ener... | Implement the Python class `NumericSensorDataTemplate` described below.
Class description:
Data template class for Z-Wave Sensor entities.
Method signatures and docstrings:
- def find_key_from_matching_set(enum_value: MultilevelSensorType | MultilevelSensorScaleType | MeterScaleType | EnergyProductionParameter | Ener... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class NumericSensorDataTemplate:
"""Data template class for Z-Wave Sensor entities."""
def find_key_from_matching_set(enum_value: MultilevelSensorType | MultilevelSensorScaleType | MeterScaleType | EnergyProductionParameter | EnergyProductionScaleType, set_map: Mapping[str, list[MultilevelSensorTy... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumericSensorDataTemplate:
"""Data template class for Z-Wave Sensor entities."""
def find_key_from_matching_set(enum_value: MultilevelSensorType | MultilevelSensorScaleType | MeterScaleType | EnergyProductionParameter | EnergyProductionScaleType, set_map: Mapping[str, list[MultilevelSensorType] | list[Mu... | the_stack_v2_python_sparse | homeassistant/components/zwave_js/discovery_data_template.py | home-assistant/core | train | 35,501 |
4f35d6e58f2ae06f86f034e26f77ae20448cb0a8 | [
"result = []\n\ndef dfs(r, tmpr):\n if r == len(s) and len(tmpr) == 4:\n result.append(tmpr[:])\n return\n if len(tmpr) > 4:\n return\n for i in range(r + 1, len(s) + 1):\n if i > i + 3:\n break\n if 0 <= int(s[r:i]) <= 255:\n if int(s[r:i]) == 0 and... | <|body_start_0|>
result = []
def dfs(r, tmpr):
if r == len(s) and len(tmpr) == 4:
result.append(tmpr[:])
return
if len(tmpr) > 4:
return
for i in range(r + 1, len(s) + 1):
if i > i + 3:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def restoreIpAddresses(self, s):
""":type s: str :rtype: List[str] dfs"""
<|body_0|>
def rewrite(self, s):
""":type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result = []
def dfs(r, tmpr):
... | stack_v2_sparse_classes_36k_train_013421 | 2,292 | no_license | [
{
"docstring": ":type s: str :rtype: List[str] dfs",
"name": "restoreIpAddresses",
"signature": "def restoreIpAddresses(self, s)"
},
{
"docstring": ":type s: str :rtype: List[str]",
"name": "rewrite",
"signature": "def rewrite(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def restoreIpAddresses(self, s): :type s: str :rtype: List[str] dfs
- def rewrite(self, s): :type s: str :rtype: List[str] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def restoreIpAddresses(self, s): :type s: str :rtype: List[str] dfs
- def rewrite(self, s): :type s: str :rtype: List[str]
<|skeleton|>
class Solution:
def restoreIpAddress... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def restoreIpAddresses(self, s):
""":type s: str :rtype: List[str] dfs"""
<|body_0|>
def rewrite(self, s):
""":type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def restoreIpAddresses(self, s):
""":type s: str :rtype: List[str] dfs"""
result = []
def dfs(r, tmpr):
if r == len(s) and len(tmpr) == 4:
result.append(tmpr[:])
return
if len(tmpr) > 4:
return
... | the_stack_v2_python_sparse | backtracking/93_Restore_IP_Addresses.py | vsdrun/lc_public | train | 6 | |
f4210211733ca76f0073c5bab388ee7ee88ab38a | [
"self.state_model = state_model\nself._action_slug = action_slug\nif self._action_slug is None:\n self._invoked_action = None\nelse:\n self._invoked_action = f'{action_slug}_invoked'\nsuper().__init__(target, *args, logger=logger, **kwargs)",
"if self._invoked_action is not None:\n try:\n self.sta... | <|body_start_0|>
self.state_model = state_model
self._action_slug = action_slug
if self._action_slug is None:
self._invoked_action = None
else:
self._invoked_action = f'{action_slug}_invoked'
super().__init__(target, *args, logger=logger, **kwargs)
<|end_b... | StateModelCommand | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StateModelCommand:
def __init__(self, target, state_model, action_slug, *args, logger=None, **kwargs):
"""A base command for commands that drive a state model. :param target: the object that this command acts upon; for example, a component manager :type target: object :param state_model:... | stack_v2_sparse_classes_36k_train_013422 | 14,989 | permissive | [
{
"docstring": "A base command for commands that drive a state model. :param target: the object that this command acts upon; for example, a component manager :type target: object :param state_model: the state model that this command uses, for example to raise a fatal error if the command errors out. :type state... | 3 | stack_v2_sparse_classes_30k_train_019041 | Implement the Python class `StateModelCommand` described below.
Class description:
Implement the StateModelCommand class.
Method signatures and docstrings:
- def __init__(self, target, state_model, action_slug, *args, logger=None, **kwargs): A base command for commands that drive a state model. :param target: the obj... | Implement the Python class `StateModelCommand` described below.
Class description:
Implement the StateModelCommand class.
Method signatures and docstrings:
- def __init__(self, target, state_model, action_slug, *args, logger=None, **kwargs): A base command for commands that drive a state model. :param target: the obj... | 32b740065bd856a7155c068e82cede094207ec71 | <|skeleton|>
class StateModelCommand:
def __init__(self, target, state_model, action_slug, *args, logger=None, **kwargs):
"""A base command for commands that drive a state model. :param target: the object that this command acts upon; for example, a component manager :type target: object :param state_model:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StateModelCommand:
def __init__(self, target, state_model, action_slug, *args, logger=None, **kwargs):
"""A base command for commands that drive a state model. :param target: the object that this command acts upon; for example, a component manager :type target: object :param state_model: the state mod... | the_stack_v2_python_sparse | src/ska_tango_base/commands.py | Umadevi-amin/lmc-base-classes | train | 0 | |
d42ed03251948c456c11cb1c31527be41a30e1ca | [
"if not root:\n return []\nres = []\nres += self.inorderTravel(root.left)\nres.append(root.val)\nres += self.inorderTravel(root.right)\nreturn res",
"res, stack = ([], [])\nwhile root is not None or stack:\n while root:\n stack.append(root)\n root = root.left\n node = stack.pop()\n res.a... | <|body_start_0|>
if not root:
return []
res = []
res += self.inorderTravel(root.left)
res.append(root.val)
res += self.inorderTravel(root.right)
return res
<|end_body_0|>
<|body_start_1|>
res, stack = ([], [])
while root is not None or stack:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def inorderTravel(self, root: TreeNode) -> list[int]:
"""递归解法"""
<|body_0|>
def inorderTravel2(self, root: TreeNode) -> list[int]:
"""迭代解法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
return []
res = []
... | stack_v2_sparse_classes_36k_train_013423 | 725 | no_license | [
{
"docstring": "递归解法",
"name": "inorderTravel",
"signature": "def inorderTravel(self, root: TreeNode) -> list[int]"
},
{
"docstring": "迭代解法",
"name": "inorderTravel2",
"signature": "def inorderTravel2(self, root: TreeNode) -> list[int]"
}
] | 2 | stack_v2_sparse_classes_30k_train_003109 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def inorderTravel(self, root: TreeNode) -> list[int]: 递归解法
- def inorderTravel2(self, root: TreeNode) -> list[int]: 迭代解法 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def inorderTravel(self, root: TreeNode) -> list[int]: 递归解法
- def inorderTravel2(self, root: TreeNode) -> list[int]: 迭代解法
<|skeleton|>
class Solution:
def inorderTravel(self... | bb02714b312d5a8368d7e4f4c35bb66eaaff36b9 | <|skeleton|>
class Solution:
def inorderTravel(self, root: TreeNode) -> list[int]:
"""递归解法"""
<|body_0|>
def inorderTravel2(self, root: TreeNode) -> list[int]:
"""迭代解法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def inorderTravel(self, root: TreeNode) -> list[int]:
"""递归解法"""
if not root:
return []
res = []
res += self.inorderTravel(root.left)
res.append(root.val)
res += self.inorderTravel(root.right)
return res
def inorderTravel2(self... | the_stack_v2_python_sparse | 数据结构/树/0010inorderTravel.py | AndongWen/leetcode | train | 0 | |
2f1dd4047b8f2b459f1514375ed1d1a629f2fcf2 | [
"self.env = env\nassert len(state_terminal) == env.no_states\nself.state_terminal = state_terminal",
"if abs(state[0] - self.state_terminal[0]) > 4:\n return True\nelif abs(state[1] - self.state_terminal[1]) > 1000:\n return True\nelse:\n return False"
] | <|body_start_0|>
self.env = env
assert len(state_terminal) == env.no_states
self.state_terminal = state_terminal
<|end_body_0|>
<|body_start_1|>
if abs(state[0] - self.state_terminal[0]) > 4:
return True
elif abs(state[1] - self.state_terminal[1]) > 1000:
... | DIBound | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DIBound:
def __init__(self, env, state_terminal):
"""Input: env : dynamics of the system"""
<|body_0|>
def end_episode(self, state):
"""Input: state : state at time t"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.env = env
assert len(... | stack_v2_sparse_classes_36k_train_013424 | 1,738 | no_license | [
{
"docstring": "Input: env : dynamics of the system",
"name": "__init__",
"signature": "def __init__(self, env, state_terminal)"
},
{
"docstring": "Input: state : state at time t",
"name": "end_episode",
"signature": "def end_episode(self, state)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007432 | Implement the Python class `DIBound` described below.
Class description:
Implement the DIBound class.
Method signatures and docstrings:
- def __init__(self, env, state_terminal): Input: env : dynamics of the system
- def end_episode(self, state): Input: state : state at time t | Implement the Python class `DIBound` described below.
Class description:
Implement the DIBound class.
Method signatures and docstrings:
- def __init__(self, env, state_terminal): Input: env : dynamics of the system
- def end_episode(self, state): Input: state : state at time t
<|skeleton|>
class DIBound:
def __... | 39de89ab859c894e569398636363f1b9731cedfb | <|skeleton|>
class DIBound:
def __init__(self, env, state_terminal):
"""Input: env : dynamics of the system"""
<|body_0|>
def end_episode(self, state):
"""Input: state : state at time t"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DIBound:
def __init__(self, env, state_terminal):
"""Input: env : dynamics of the system"""
self.env = env
assert len(state_terminal) == env.no_states
self.state_terminal = state_terminal
def end_episode(self, state):
"""Input: state : state at time t"""
if... | the_stack_v2_python_sparse | srcpy/model_free/bounds.py | avadesh02/fml-project | train | 0 | |
69f86ffd9038b134738c76594792cf6fcb8557e9 | [
"test_inventory = ElectricAppliances(123, 'chair', 100, 50, 'GE', 75)\nself.assertEqual(test_inventory.brand, 'GE')\nself.assertEqual(test_inventory.voltage, 75)",
"test_inventory = ElectricAppliances(123, 'chair', 100, 50, 'GE', 75).return_as_dictionary()\nself.assertEqual(test_inventory['brand'], 'GE')\nself.as... | <|body_start_0|>
test_inventory = ElectricAppliances(123, 'chair', 100, 50, 'GE', 75)
self.assertEqual(test_inventory.brand, 'GE')
self.assertEqual(test_inventory.voltage, 75)
<|end_body_0|>
<|body_start_1|>
test_inventory = ElectricAppliances(123, 'chair', 100, 50, 'GE', 75).return_as_... | Test the Electrical class | ElectricTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElectricTest:
"""Test the Electrical class"""
def test_init(self):
"""Test init"""
<|body_0|>
def test_return_as_dictionary(self):
"""Test the return as dictionary method"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
test_inventory = ElectricA... | stack_v2_sparse_classes_36k_train_013425 | 3,232 | no_license | [
{
"docstring": "Test init",
"name": "test_init",
"signature": "def test_init(self)"
},
{
"docstring": "Test the return as dictionary method",
"name": "test_return_as_dictionary",
"signature": "def test_return_as_dictionary(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017476 | Implement the Python class `ElectricTest` described below.
Class description:
Test the Electrical class
Method signatures and docstrings:
- def test_init(self): Test init
- def test_return_as_dictionary(self): Test the return as dictionary method | Implement the Python class `ElectricTest` described below.
Class description:
Test the Electrical class
Method signatures and docstrings:
- def test_init(self): Test init
- def test_return_as_dictionary(self): Test the return as dictionary method
<|skeleton|>
class ElectricTest:
"""Test the Electrical class"""
... | 6ffd7b4ab8346076d3b6cc02ca1ebca3bf028697 | <|skeleton|>
class ElectricTest:
"""Test the Electrical class"""
def test_init(self):
"""Test init"""
<|body_0|>
def test_return_as_dictionary(self):
"""Test the return as dictionary method"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ElectricTest:
"""Test the Electrical class"""
def test_init(self):
"""Test init"""
test_inventory = ElectricAppliances(123, 'chair', 100, 50, 'GE', 75)
self.assertEqual(test_inventory.brand, 'GE')
self.assertEqual(test_inventory.voltage, 75)
def test_return_as_diction... | the_stack_v2_python_sparse | students/AndrewMiotke/lesson01/assignment/test_unit.py | UWPCE-PythonCert-ClassRepos/220-Advanced-Summer-2019 | train | 4 |
0ade7ff3a4375de4aa53f5b86599052a7db04930 | [
"self._request_context = request_context\nself._request = request\nself._scalars_plugin_instance = scalars_plugin_instance\nself._experiment = experiment",
"run, tag = metrics.run_tag_from_session_and_metric(self._request.session_name, self._request.metric_name)\nbody, _ = self._scalars_plugin_instance.scalars_im... | <|body_start_0|>
self._request_context = request_context
self._request = request
self._scalars_plugin_instance = scalars_plugin_instance
self._experiment = experiment
<|end_body_0|>
<|body_start_1|>
run, tag = metrics.run_tag_from_session_and_metric(self._request.session_name, s... | Handles a ListMetricEvals request. | Handler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Handler:
"""Handles a ListMetricEvals request."""
def __init__(self, request_context, request, scalars_plugin_instance, experiment):
"""Constructor. Args: request_context: A tensorboard.context.RequestContext. request: A ListSessionGroupsRequest protobuf. scalars_plugin_instance: A s... | stack_v2_sparse_classes_36k_train_013426 | 2,132 | permissive | [
{
"docstring": "Constructor. Args: request_context: A tensorboard.context.RequestContext. request: A ListSessionGroupsRequest protobuf. scalars_plugin_instance: A scalars_plugin.ScalarsPlugin. experiment: A experiment ID, as a possibly-empty `str`.",
"name": "__init__",
"signature": "def __init__(self, ... | 2 | stack_v2_sparse_classes_30k_train_006175 | Implement the Python class `Handler` described below.
Class description:
Handles a ListMetricEvals request.
Method signatures and docstrings:
- def __init__(self, request_context, request, scalars_plugin_instance, experiment): Constructor. Args: request_context: A tensorboard.context.RequestContext. request: A ListSe... | Implement the Python class `Handler` described below.
Class description:
Handles a ListMetricEvals request.
Method signatures and docstrings:
- def __init__(self, request_context, request, scalars_plugin_instance, experiment): Constructor. Args: request_context: A tensorboard.context.RequestContext. request: A ListSe... | 5961c76dca0fb9bb40d146f5ce13834ac29d8ddb | <|skeleton|>
class Handler:
"""Handles a ListMetricEvals request."""
def __init__(self, request_context, request, scalars_plugin_instance, experiment):
"""Constructor. Args: request_context: A tensorboard.context.RequestContext. request: A ListSessionGroupsRequest protobuf. scalars_plugin_instance: A s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Handler:
"""Handles a ListMetricEvals request."""
def __init__(self, request_context, request, scalars_plugin_instance, experiment):
"""Constructor. Args: request_context: A tensorboard.context.RequestContext. request: A ListSessionGroupsRequest protobuf. scalars_plugin_instance: A scalars_plugin... | the_stack_v2_python_sparse | tensorboard/plugins/hparams/list_metric_evals.py | tensorflow/tensorboard | train | 6,766 |
d8484937f0ac2a2d4dee24e631593bbb667d3973 | [
"self.temp_dir = tempfile.mkdtemp()\nself.binfiles = []\nself.to_delete = []\nself.nf = nf\nself.ni = ni\nself.output_fn = output_fn\nself.progress = progress\nself.interval = interval\nself.nsentences = 0",
"self.binfiles.append(fn)\nself.to_delete.append(fn)\nif self.progress:\n if self.nsentences % self.int... | <|body_start_0|>
self.temp_dir = tempfile.mkdtemp()
self.binfiles = []
self.to_delete = []
self.nf = nf
self.ni = ni
self.output_fn = output_fn
self.progress = progress
self.interval = interval
self.nsentences = 0
<|end_body_0|>
<|body_start_1|>
... | Encapsulate the steps of .pfile creation. Creating a .pfile using obs-print requires encoding each sentence/segment to a binary file, creating an listing of the binary files, and feeding that to obs-print. A lot of tempfiles are created, and this class handles all of the book-keeping. TODO(ajit): Rearrange histlib.enco... | PFile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PFile:
"""Encapsulate the steps of .pfile creation. Creating a .pfile using obs-print requires encoding each sentence/segment to a binary file, creating an listing of the binary files, and feeding that to obs-print. A lot of tempfiles are created, and this class handles all of the book-keeping. T... | stack_v2_sparse_classes_36k_train_013427 | 4,954 | no_license | [
{
"docstring": "Initialize a .pfile. Args: nf: Number of floats ni: Number of ints output_fn: Name of the .pfile to create progess: If true, print an status messages on number of sentences written to sys.stdout. interval: Number of calls to add_sentence between status messages.",
"name": "__init__",
"si... | 3 | null | Implement the Python class `PFile` described below.
Class description:
Encapsulate the steps of .pfile creation. Creating a .pfile using obs-print requires encoding each sentence/segment to a binary file, creating an listing of the binary files, and feeding that to obs-print. A lot of tempfiles are created, and this c... | Implement the Python class `PFile` described below.
Class description:
Encapsulate the steps of .pfile creation. Creating a .pfile using obs-print requires encoding each sentence/segment to a binary file, creating an listing of the binary files, and feeding that to obs-print. A lot of tempfiles are created, and this c... | 36d9b7b6f864ee93220c960065f8c7e216c5009c | <|skeleton|>
class PFile:
"""Encapsulate the steps of .pfile creation. Creating a .pfile using obs-print requires encoding each sentence/segment to a binary file, creating an listing of the binary files, and feeding that to obs-print. A lot of tempfiles are created, and this class handles all of the book-keeping. T... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PFile:
"""Encapsulate the steps of .pfile creation. Creating a .pfile using obs-print requires encoding each sentence/segment to a binary file, creating an listing of the binary files, and feeding that to obs-print. A lot of tempfiles are created, and this class handles all of the book-keeping. TODO(ajit): Re... | the_stack_v2_python_sparse | sourceCodes/python/util/file.py | melodi-lab/SGM | train | 1 |
9c5c20446e41bbe90b3b51b0c6059018bfa498f2 | [
"Thread.__init__(self, name='Reader' + str(instance))\nself.accessCount = accessCount\nself.cell = cell\nself.sleepMax = sleepMax",
"print('%s starting up' % self.getName())\nfor count in range(self.accessCount):\n time.sleep(random.randint(1, self.sleepMax))\n value = self.cell.read(lambda counter: self.ce... | <|body_start_0|>
Thread.__init__(self, name='Reader' + str(instance))
self.accessCount = accessCount
self.cell = cell
self.sleepMax = sleepMax
<|end_body_0|>
<|body_start_1|>
print('%s starting up' % self.getName())
for count in range(self.accessCount):
time.... | Reads from the shared cell | Reader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Reader:
"""Reads from the shared cell"""
def __init__(self, cell, accessCount, sleepMax, instance):
"""Create a reader of the given shared cell, number of accesses, and maximum sleep interval."""
<|body_0|>
def run(self):
"""Announce start-up, sleep and read from... | stack_v2_sparse_classes_36k_train_013428 | 5,757 | no_license | [
{
"docstring": "Create a reader of the given shared cell, number of accesses, and maximum sleep interval.",
"name": "__init__",
"signature": "def __init__(self, cell, accessCount, sleepMax, instance)"
},
{
"docstring": "Announce start-up, sleep and read from shared cell the given number of times... | 2 | stack_v2_sparse_classes_30k_train_010604 | Implement the Python class `Reader` described below.
Class description:
Reads from the shared cell
Method signatures and docstrings:
- def __init__(self, cell, accessCount, sleepMax, instance): Create a reader of the given shared cell, number of accesses, and maximum sleep interval.
- def run(self): Announce start-up... | Implement the Python class `Reader` described below.
Class description:
Reads from the shared cell
Method signatures and docstrings:
- def __init__(self, cell, accessCount, sleepMax, instance): Create a reader of the given shared cell, number of accesses, and maximum sleep interval.
- def run(self): Announce start-up... | 30375264cf0103e3455fdf92c35a2c5c15b5d7ef | <|skeleton|>
class Reader:
"""Reads from the shared cell"""
def __init__(self, cell, accessCount, sleepMax, instance):
"""Create a reader of the given shared cell, number of accesses, and maximum sleep interval."""
<|body_0|>
def run(self):
"""Announce start-up, sleep and read from... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Reader:
"""Reads from the shared cell"""
def __init__(self, cell, accessCount, sleepMax, instance):
"""Create a reader of the given shared cell, number of accesses, and maximum sleep interval."""
Thread.__init__(self, name='Reader' + str(instance))
self.accessCount = accessCount
... | the_stack_v2_python_sparse | Ch10 exercises/reader-writer.py | davelpat/Fundamentals_of_Python | train | 1 |
3d1891aa9cd44a9d17d27e0ade3f91ed28630e5e | [
"if len(nums) == 0:\n self.zero = True\nself.nums = nums\nself.summary = [0] * len(nums)\nself.summary[0] = nums[0]\nfor i in range(1, len(nums)):\n self.summary[i] = self.summary[i - 1] + nums[i]\nself.updateDict = {}",
"if self.zero:\n return\nif len(self.nums) == 1:\n self.nums[0] = val\n return... | <|body_start_0|>
if len(nums) == 0:
self.zero = True
self.nums = nums
self.summary = [0] * len(nums)
self.summary[0] = nums[0]
for i in range(1, len(nums)):
self.summary[i] = self.summary[i - 1] + nums[i]
self.updateDict = {}
<|end_body_0|>
<|body... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def update(self, i, val):
""":type i: int :type val: int :rtype: void"""
<|body_1|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_36k_train_013429 | 1,475 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type val: int :rtype: void",
"name": "update",
"signature": "def update(self, i, val)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
... | 3 | null | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def update(self, i, val): :type i: int :type val: int :rtype: void
- def sumRange(self, i, j): :type i: int :type j: int :rtype:... | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def update(self, i, val): :type i: int :type val: int :rtype: void
- def sumRange(self, i, j): :type i: int :type j: int :rtype:... | 7a1c3aba65f338f6e11afd2864dabd2b26142b6c | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def update(self, i, val):
""":type i: int :type val: int :rtype: void"""
<|body_1|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
if len(nums) == 0:
self.zero = True
self.nums = nums
self.summary = [0] * len(nums)
self.summary[0] = nums[0]
for i in range(1, len(nums)):
self.summary[i] = self.summary[i -... | the_stack_v2_python_sparse | exercise/leetcode/python_src/by2017_Sep/Leet307.py | SS4G/AlgorithmTraining | train | 2 | |
8ce58143c4d182c56a2bee7ce2df9457cc7542ef | [
"if not isinstance(args, dict):\n raise TypeError('Object (type %s) is not a dictionary' % type(args))\nfd = sio.BytesIO()\nsavemat(fd, args)\nout = fd.getvalue()\nfd.close()\nreturn out",
"fd = sio.BytesIO(msg)\nout = loadmat(fd, matlab_compatible=True)\nmat_keys = ['__header__', '__globals__', '__version__']... | <|body_start_0|>
if not isinstance(args, dict):
raise TypeError('Object (type %s) is not a dictionary' % type(args))
fd = sio.BytesIO()
savemat(fd, args)
out = fd.getvalue()
fd.close()
return out
<|end_body_0|>
<|body_start_1|>
fd = sio.BytesIO(msg)
... | Class for serializing a python object into a bytes message using the Matlab .mat format. | MatSerialize | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MatSerialize:
"""Class for serializing a python object into a bytes message using the Matlab .mat format."""
def func_serialize(self, args):
"""Serialize a message. Args: args (obj): Python object to be serialized. Returns: bytes, str: Serialized message. Raises: TypeError: If args i... | stack_v2_sparse_classes_36k_train_013430 | 2,886 | permissive | [
{
"docstring": "Serialize a message. Args: args (obj): Python object to be serialized. Returns: bytes, str: Serialized message. Raises: TypeError: If args is not a dictionary.",
"name": "func_serialize",
"signature": "def func_serialize(self, args)"
},
{
"docstring": "Deserialize a message. Args... | 4 | stack_v2_sparse_classes_30k_train_000139 | Implement the Python class `MatSerialize` described below.
Class description:
Class for serializing a python object into a bytes message using the Matlab .mat format.
Method signatures and docstrings:
- def func_serialize(self, args): Serialize a message. Args: args (obj): Python object to be serialized. Returns: byt... | Implement the Python class `MatSerialize` described below.
Class description:
Class for serializing a python object into a bytes message using the Matlab .mat format.
Method signatures and docstrings:
- def func_serialize(self, args): Serialize a message. Args: args (obj): Python object to be serialized. Returns: byt... | dcc4d75a4d2c6aaa7e50e75095a16df1df6b2b0a | <|skeleton|>
class MatSerialize:
"""Class for serializing a python object into a bytes message using the Matlab .mat format."""
def func_serialize(self, args):
"""Serialize a message. Args: args (obj): Python object to be serialized. Returns: bytes, str: Serialized message. Raises: TypeError: If args i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MatSerialize:
"""Class for serializing a python object into a bytes message using the Matlab .mat format."""
def func_serialize(self, args):
"""Serialize a message. Args: args (obj): Python object to be serialized. Returns: bytes, str: Serialized message. Raises: TypeError: If args is not a dicti... | the_stack_v2_python_sparse | yggdrasil/serialize/MatSerialize.py | leighmatth/yggdrasil | train | 0 |
6fadbdb7d59da050da98b6ebfaa1449f04b33e5f | [
"result = {'result': 'NG', 'error': ''}\ndata_json = request.get_json(force=True)\nflag, error = CtrlUserGroup().update_manager_member(data_json)\nif flag:\n result['result'] = 'OK'\nelse:\n result['error'] = error\nreturn result",
"result = {'result': 'NG', 'error': ''}\nflag, error = CtrlUserGroup().delet... | <|body_start_0|>
result = {'result': 'NG', 'error': ''}
data_json = request.get_json(force=True)
flag, error = CtrlUserGroup().update_manager_member(data_json)
if flag:
result['result'] = 'OK'
else:
result['error'] = error
return result
<|end_body_... | 项目体制增加组员 | ApiManagerMemeber | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApiManagerMemeber:
"""项目体制增加组员"""
def post(self):
"""更新"""
<|body_0|>
def delete(self, proj_id, group_id, user_id, commit_user):
"""删除"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
result = {'result': 'NG', 'error': ''}
data_json = req... | stack_v2_sparse_classes_36k_train_013431 | 3,031 | no_license | [
{
"docstring": "更新",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "删除",
"name": "delete",
"signature": "def delete(self, proj_id, group_id, user_id, commit_user)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005632 | Implement the Python class `ApiManagerMemeber` described below.
Class description:
项目体制增加组员
Method signatures and docstrings:
- def post(self): 更新
- def delete(self, proj_id, group_id, user_id, commit_user): 删除 | Implement the Python class `ApiManagerMemeber` described below.
Class description:
项目体制增加组员
Method signatures and docstrings:
- def post(self): 更新
- def delete(self, proj_id, group_id, user_id, commit_user): 删除
<|skeleton|>
class ApiManagerMemeber:
"""项目体制增加组员"""
def post(self):
"""更新"""
<|b... | 64b31e7bdfcb8a4c95f0a8a607f0bcff576cec11 | <|skeleton|>
class ApiManagerMemeber:
"""项目体制增加组员"""
def post(self):
"""更新"""
<|body_0|>
def delete(self, proj_id, group_id, user_id, commit_user):
"""删除"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ApiManagerMemeber:
"""项目体制增加组员"""
def post(self):
"""更新"""
result = {'result': 'NG', 'error': ''}
data_json = request.get_json(force=True)
flag, error = CtrlUserGroup().update_manager_member(data_json)
if flag:
result['result'] = 'OK'
else:
... | the_stack_v2_python_sparse | koala/koala_server/app/api_1_0/api_user_group.py | lsn1183/web_project | train | 0 |
381257b4eff807db729903150781ef6eb9abbb23 | [
"self.decks = deck()\nself.decks.shuffle()\nself.one_score = 0\nself.two_score = 0",
"deck_dbl = 2\nassert len(self.decks.deck) > n, 'Deck has not enough cards'\nself.decks.deal_cards(n * 2)\nfor i in range(1, n + 1, 1):\n player_one_card = self.decks.dealt_cards[deck_dbl * i - deck_dbl]\n player_two_card =... | <|body_start_0|>
self.decks = deck()
self.decks.shuffle()
self.one_score = 0
self.two_score = 0
<|end_body_0|>
<|body_start_1|>
deck_dbl = 2
assert len(self.decks.deck) > n, 'Deck has not enough cards'
self.decks.deal_cards(n * 2)
for i in range(1, n + 1,... | WarGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WarGame:
def __init__(self):
"""Initializes WarGame and creates a score for player one and two. It first creates a deck and then shuffles it"""
<|body_0|>
def play_rounds(self, n=1):
"""Plays the game for n times(rounds). It also prints who wins for each round. In th... | stack_v2_sparse_classes_36k_train_013432 | 14,518 | no_license | [
{
"docstring": "Initializes WarGame and creates a score for player one and two. It first creates a deck and then shuffles it",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Plays the game for n times(rounds). It also prints who wins for each round. In the end it prints... | 3 | stack_v2_sparse_classes_30k_train_006829 | Implement the Python class `WarGame` described below.
Class description:
Implement the WarGame class.
Method signatures and docstrings:
- def __init__(self): Initializes WarGame and creates a score for player one and two. It first creates a deck and then shuffles it
- def play_rounds(self, n=1): Plays the game for n ... | Implement the Python class `WarGame` described below.
Class description:
Implement the WarGame class.
Method signatures and docstrings:
- def __init__(self): Initializes WarGame and creates a score for player one and two. It first creates a deck and then shuffles it
- def play_rounds(self, n=1): Plays the game for n ... | a26bfcb962a7e30cf87b138ee21f0026811d123e | <|skeleton|>
class WarGame:
def __init__(self):
"""Initializes WarGame and creates a score for player one and two. It first creates a deck and then shuffles it"""
<|body_0|>
def play_rounds(self, n=1):
"""Plays the game for n times(rounds). It also prints who wins for each round. In th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WarGame:
def __init__(self):
"""Initializes WarGame and creates a score for player one and two. It first creates a deck and then shuffles it"""
self.decks = deck()
self.decks.shuffle()
self.one_score = 0
self.two_score = 0
def play_rounds(self, n=1):
"""Pla... | the_stack_v2_python_sparse | Homeworks/hw08.py | iLuigi98/UCSD-DSC20 | train | 0 | |
f1f2ab8a2dd361b8dd32ad5e25f9c3c0393a02d9 | [
"if not is_string(field):\n raise TypeError('Field name must be a string')\nfield = field.strip()\nif not field or ' ' in field:\n raise ValueError(\"Empty or invalid property field name '{0}'\".format(field))\nif name is not None:\n if not is_string(name):\n raise TypeError('Property name must be a... | <|body_start_0|>
if not is_string(field):
raise TypeError('Field name must be a string')
field = field.strip()
if not field or ' ' in field:
raise ValueError("Empty or invalid property field name '{0}'".format(field))
if name is not None:
if not is_str... | @Property decorator Defines a component property. | Property | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Property:
"""@Property decorator Defines a component property."""
def __init__(self, field=None, name=None, value=None):
"""Sets up the property :param field: The property field in the class (can't be None nor empty) :param name: The property name (if None, this will be the field nam... | stack_v2_sparse_classes_36k_train_013433 | 41,418 | permissive | [
{
"docstring": "Sets up the property :param field: The property field in the class (can't be None nor empty) :param name: The property name (if None, this will be the field name) :param value: The property value :raise TypeError: Invalid argument type :raise ValueError: If the name or the name is None or empty"... | 2 | stack_v2_sparse_classes_30k_train_021157 | Implement the Python class `Property` described below.
Class description:
@Property decorator Defines a component property.
Method signatures and docstrings:
- def __init__(self, field=None, name=None, value=None): Sets up the property :param field: The property field in the class (can't be None nor empty) :param nam... | Implement the Python class `Property` described below.
Class description:
@Property decorator Defines a component property.
Method signatures and docstrings:
- def __init__(self, field=None, name=None, value=None): Sets up the property :param field: The property field in the class (can't be None nor empty) :param nam... | 686556cdde20beba77ae202de9969be46feed5e2 | <|skeleton|>
class Property:
"""@Property decorator Defines a component property."""
def __init__(self, field=None, name=None, value=None):
"""Sets up the property :param field: The property field in the class (can't be None nor empty) :param name: The property name (if None, this will be the field nam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Property:
"""@Property decorator Defines a component property."""
def __init__(self, field=None, name=None, value=None):
"""Sets up the property :param field: The property field in the class (can't be None nor empty) :param name: The property name (if None, this will be the field name) :param val... | the_stack_v2_python_sparse | python/src/lib/python/pelix/ipopo/decorators.py | cohorte/cohorte-runtime | train | 3 |
35c1c558537f07acdb4f2470cb96e1cf791c61ff | [
"self.surface = pygame.Surface(dim)\nself.center = (dim[0] // 2, dim[1] // 2)\nself.radius = dim[1] // 2\nself.radius = 100\nself.chunk = 360\nself.format = pyaudio.paInt16\naudio = pyaudio.PyAudio()\nself.stream = audio.open(format=pyaudio.paInt16, channels=1, rate=rate, input=True, frames_per_buffer=self.chunk)\n... | <|body_start_0|>
self.surface = pygame.Surface(dim)
self.center = (dim[0] // 2, dim[1] // 2)
self.radius = dim[1] // 2
self.radius = 100
self.chunk = 360
self.format = pyaudio.paInt16
audio = pyaudio.PyAudio()
self.stream = audio.open(format=pyaudio.paInt1... | audio spectrograph effect for background | SpectrumCircle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpectrumCircle:
"""audio spectrograph effect for background"""
def __init__(self, dim: tuple, rate: int=44100):
"""polar spectrograph :param dim: dimension in (x, y) :param rate: sampling rate"""
<|body_0|>
def update(self) -> pygame.Surface:
"""update every fram... | stack_v2_sparse_classes_36k_train_013434 | 4,338 | no_license | [
{
"docstring": "polar spectrograph :param dim: dimension in (x, y) :param rate: sampling rate",
"name": "__init__",
"signature": "def __init__(self, dim: tuple, rate: int=44100)"
},
{
"docstring": "update every frame",
"name": "update",
"signature": "def update(self) -> pygame.Surface"
... | 2 | null | Implement the Python class `SpectrumCircle` described below.
Class description:
audio spectrograph effect for background
Method signatures and docstrings:
- def __init__(self, dim: tuple, rate: int=44100): polar spectrograph :param dim: dimension in (x, y) :param rate: sampling rate
- def update(self) -> pygame.Surfa... | Implement the Python class `SpectrumCircle` described below.
Class description:
audio spectrograph effect for background
Method signatures and docstrings:
- def __init__(self, dim: tuple, rate: int=44100): polar spectrograph :param dim: dimension in (x, y) :param rate: sampling rate
- def update(self) -> pygame.Surfa... | 1fd421195a2888c0588a49f5a043a1110eedcdbf | <|skeleton|>
class SpectrumCircle:
"""audio spectrograph effect for background"""
def __init__(self, dim: tuple, rate: int=44100):
"""polar spectrograph :param dim: dimension in (x, y) :param rate: sampling rate"""
<|body_0|>
def update(self) -> pygame.Surface:
"""update every fram... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SpectrumCircle:
"""audio spectrograph effect for background"""
def __init__(self, dim: tuple, rate: int=44100):
"""polar spectrograph :param dim: dimension in (x, y) :param rate: sampling rate"""
self.surface = pygame.Surface(dim)
self.center = (dim[0] // 2, dim[1] // 2)
s... | the_stack_v2_python_sparse | effects/Spectrographs.py | gunny26/pygame | train | 5 |
0a107924bf5ad651bba0fead48d0853bb5e914b2 | [
"if not (head and head.next):\n return head\nnext = head.next\nhead.next = self.swapPairs(next.next)\nnext.next = head\nreturn next",
"prev = dummy = ListNode(None)\nprev.next = head\nwhile prev.next and prev.next.next:\n a1 = prev.next\n a2 = a1.next\n a1.next = a2.next\n a2.next = a1\n prev.ne... | <|body_start_0|>
if not (head and head.next):
return head
next = head.next
head.next = self.swapPairs(next.next)
next.next = head
return next
<|end_body_0|>
<|body_start_1|>
prev = dummy = ListNode(None)
prev.next = head
while prev.next and pr... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def swapPairs_1(self, head: ListNode) -> ListNode:
"""1. 递归解法"""
<|body_0|>
def swapPairs(self, head: ListNode) -> ListNode:
"""2. 递推解法：多个节点 prev、a1、a2、next 的交替操作； 难点：要返回处理后链表的 首节点 --> 设置一个 dummy 节点！！"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_36k_train_013435 | 2,016 | no_license | [
{
"docstring": "1. 递归解法",
"name": "swapPairs_1",
"signature": "def swapPairs_1(self, head: ListNode) -> ListNode"
},
{
"docstring": "2. 递推解法：多个节点 prev、a1、a2、next 的交替操作； 难点：要返回处理后链表的 首节点 --> 设置一个 dummy 节点！！",
"name": "swapPairs",
"signature": "def swapPairs(self, head: ListNode) -> ListNo... | 2 | stack_v2_sparse_classes_30k_train_011751 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs_1(self, head: ListNode) -> ListNode: 1. 递归解法
- def swapPairs(self, head: ListNode) -> ListNode: 2. 递推解法：多个节点 prev、a1、a2、next 的交替操作； 难点：要返回处理后链表的 首节点 --> 设置一个 dummy ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs_1(self, head: ListNode) -> ListNode: 1. 递归解法
- def swapPairs(self, head: ListNode) -> ListNode: 2. 递推解法：多个节点 prev、a1、a2、next 的交替操作； 难点：要返回处理后链表的 首节点 --> 设置一个 dummy ... | 4732fb80710a08a715c3e7080c394f5298b8326d | <|skeleton|>
class Solution:
def swapPairs_1(self, head: ListNode) -> ListNode:
"""1. 递归解法"""
<|body_0|>
def swapPairs(self, head: ListNode) -> ListNode:
"""2. 递推解法：多个节点 prev、a1、a2、next 的交替操作； 难点：要返回处理后链表的 首节点 --> 设置一个 dummy 节点！！"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def swapPairs_1(self, head: ListNode) -> ListNode:
"""1. 递归解法"""
if not (head and head.next):
return head
next = head.next
head.next = self.swapPairs(next.next)
next.next = head
return next
def swapPairs(self, head: ListNode) -> ListNo... | the_stack_v2_python_sparse | 02-linkedlist/24.两两交换链表中的节点.py | xiaoruijiang/algorithm | train | 0 | |
d184f43ace6aed4cafc1c44e3e9997b24506c9d6 | [
"if not nums:\n return None\nmaxnum = nums[0]\ndp = [0] * len(nums)\ndp[0] = nums[0]\nfor i in range(1, len(nums)):\n dp[i] = nums[i] + dp[i - 1] if dp[i - 1] > 0 else nums[i]\n maxnum = max(dp[i], maxnum)\nreturn maxnum",
"if not nums:\n return None\nmaxnum = nums[0]\nmaxendwithi = nums[0]\nfor i in ... | <|body_start_0|>
if not nums:
return None
maxnum = nums[0]
dp = [0] * len(nums)
dp[0] = nums[0]
for i in range(1, len(nums)):
dp[i] = nums[i] + dp[i - 1] if dp[i - 1] > 0 else nums[i]
maxnum = max(dp[i], maxnum)
return maxnum
<|end_body... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],"""
<|body_0|>
def maxSubArray2(self, nums):
""":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_013436 | 1,035 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],",
"name": "maxSubArray",
"signature": "def maxSubArray(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],",
"name": "maxSubArray2",
"signature": "def maxSubArray2(self, nums... | 2 | null | 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 [-2,1,-3,4,-1,2,1,-5,4],
- def maxSubArray2(self, nums): :type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4], | 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 [-2,1,-3,4,-1,2,1,-5,4],
- def maxSubArray2(self, nums): :type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],... | 85128e7d26157b3c36eb43868269de42ea2fcb98 | <|skeleton|>
class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],"""
<|body_0|>
def maxSubArray2(self, nums):
""":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int [-2,1,-3,4,-1,2,1,-5,4],"""
if not nums:
return None
maxnum = nums[0]
dp = [0] * len(nums)
dp[0] = nums[0]
for i in range(1, len(nums)):
dp[i] = nums[i] + dp[i - ... | the_stack_v2_python_sparse | src/maxSubArray.py | jsdiuf/leetcode | train | 1 | |
a08c3a72efe65833d82f927c705c7737c8349713 | [
"left = array[start:middle]\nright = array[middle:end]\nleft.append(sys.maxsize)\nright.append(sys.maxsize)\nleft_inx = 0\nright_inx = 0\nfor inx in range(start, end):\n if left[left_inx] <= right[right_inx]:\n array[inx] = left[left_inx]\n left_inx += 1\n else:\n array[inx] = right[right... | <|body_start_0|>
left = array[start:middle]
right = array[middle:end]
left.append(sys.maxsize)
right.append(sys.maxsize)
left_inx = 0
right_inx = 0
for inx in range(start, end):
if left[left_inx] <= right[right_inx]:
array[inx] = left[l... | Implementation of merge sort Thomas H. Cormen Algorithms Unlocked (2013) page 54 | MergeSort | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MergeSort:
"""Implementation of merge sort Thomas H. Cormen Algorithms Unlocked (2013) page 54"""
def merge(array, start, middle, end):
"""Merge of two pre sorted arrays left and right both arrays should be have common border :Parameters: array: *list* - array of elements to sort sta... | stack_v2_sparse_classes_36k_train_013437 | 2,707 | no_license | [
{
"docstring": "Merge of two pre sorted arrays left and right both arrays should be have common border :Parameters: array: *list* - array of elements to sort start: *number* - start index of left array middle: *number* - end of left array end; end: *number* - end right array",
"name": "merge",
"signatur... | 3 | stack_v2_sparse_classes_30k_train_012619 | Implement the Python class `MergeSort` described below.
Class description:
Implementation of merge sort Thomas H. Cormen Algorithms Unlocked (2013) page 54
Method signatures and docstrings:
- def merge(array, start, middle, end): Merge of two pre sorted arrays left and right both arrays should be have common border :... | Implement the Python class `MergeSort` described below.
Class description:
Implementation of merge sort Thomas H. Cormen Algorithms Unlocked (2013) page 54
Method signatures and docstrings:
- def merge(array, start, middle, end): Merge of two pre sorted arrays left and right both arrays should be have common border :... | 8b3b1f146b7eac5dc15b16aaf837441069cf5989 | <|skeleton|>
class MergeSort:
"""Implementation of merge sort Thomas H. Cormen Algorithms Unlocked (2013) page 54"""
def merge(array, start, middle, end):
"""Merge of two pre sorted arrays left and right both arrays should be have common border :Parameters: array: *list* - array of elements to sort sta... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MergeSort:
"""Implementation of merge sort Thomas H. Cormen Algorithms Unlocked (2013) page 54"""
def merge(array, start, middle, end):
"""Merge of two pre sorted arrays left and right both arrays should be have common border :Parameters: array: *list* - array of elements to sort start: *number* ... | the_stack_v2_python_sparse | sort/merge.py | shuvava/python_algorithms | train | 2 |
5632a874d92f4e5186e2f6fc66b4fb5dea18b8e0 | [
"if value is None:\n return SkillEffectiveness.StandardPeriodic\nif isinstance(value, SkillEffectiveness):\n return value\nmapping = dict()\nif hasattr(SkillEffectiveness, 'Small'):\n mapping[CommonSkillEffectiveness.SMALL] = SkillEffectiveness.Small\nif hasattr(SkillEffectiveness, 'Large'):\n mapping[C... | <|body_start_0|>
if value is None:
return SkillEffectiveness.StandardPeriodic
if isinstance(value, SkillEffectiveness):
return value
mapping = dict()
if hasattr(SkillEffectiveness, 'Small'):
mapping[CommonSkillEffectiveness.SMALL] = SkillEffectiveness.... | Various Skill Effectiveness. | CommonSkillEffectiveness | [
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommonSkillEffectiveness:
"""Various Skill Effectiveness."""
def convert_to_vanilla(value: 'CommonSkillEffectiveness') -> SkillEffectiveness:
"""convert_to_vanilla(value) Convert a value into a vanilla SkillEffectiveness value. :param value: An instance of CommonSkillEffectiveness :t... | stack_v2_sparse_classes_36k_train_013438 | 5,822 | permissive | [
{
"docstring": "convert_to_vanilla(value) Convert a value into a vanilla SkillEffectiveness value. :param value: An instance of CommonSkillEffectiveness :type value: CommonSkillEffectiveness :return: The specified value translated to an SkillEffectiveness or StandardPeriodic if the value could not be translated... | 2 | null | Implement the Python class `CommonSkillEffectiveness` described below.
Class description:
Various Skill Effectiveness.
Method signatures and docstrings:
- def convert_to_vanilla(value: 'CommonSkillEffectiveness') -> SkillEffectiveness: convert_to_vanilla(value) Convert a value into a vanilla SkillEffectiveness value.... | Implement the Python class `CommonSkillEffectiveness` described below.
Class description:
Various Skill Effectiveness.
Method signatures and docstrings:
- def convert_to_vanilla(value: 'CommonSkillEffectiveness') -> SkillEffectiveness: convert_to_vanilla(value) Convert a value into a vanilla SkillEffectiveness value.... | 58e7beb30b9c818b294d35abd2436a0192cd3e82 | <|skeleton|>
class CommonSkillEffectiveness:
"""Various Skill Effectiveness."""
def convert_to_vanilla(value: 'CommonSkillEffectiveness') -> SkillEffectiveness:
"""convert_to_vanilla(value) Convert a value into a vanilla SkillEffectiveness value. :param value: An instance of CommonSkillEffectiveness :t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommonSkillEffectiveness:
"""Various Skill Effectiveness."""
def convert_to_vanilla(value: 'CommonSkillEffectiveness') -> SkillEffectiveness:
"""convert_to_vanilla(value) Convert a value into a vanilla SkillEffectiveness value. :param value: An instance of CommonSkillEffectiveness :type value: Co... | the_stack_v2_python_sparse | Scripts/sims4communitylib/enums/common_skill_effectiveness.py | ColonolNutty/Sims4CommunityLibrary | train | 183 |
12d4da5cc1de552b81dbc74e37fb09e85d4b633f | [
"unit = service.get(id)\nif not unit:\n abort(404, 'unit {} Not Found'.format(id))\nresponse = detail_schema.dump(unit).data\nreturn (response, 200)",
"unit = service.get(id)\nif not unit:\n abort(404, 'unit {} Not Found'.format(id))\nunit = detail_schema.load(api.payload, instance=unit, partial=True)\nif n... | <|body_start_0|>
unit = service.get(id)
if not unit:
abort(404, 'unit {} Not Found'.format(id))
response = detail_schema.dump(unit).data
return (response, 200)
<|end_body_0|>
<|body_start_1|>
unit = service.get(id)
if not unit:
abort(404, 'unit {}... | Unit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Unit:
def get(self, id):
"""Fetch a unit resource given its id"""
<|body_0|>
def put(self, id):
"""Update a paramters data given its id"""
<|body_1|>
def delete(self, id):
"""Deletes a unit given its id"""
<|body_2|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_013439 | 2,616 | no_license | [
{
"docstring": "Fetch a unit resource given its id",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Update a paramters data given its id",
"name": "put",
"signature": "def put(self, id)"
},
{
"docstring": "Deletes a unit given its id",
"name": "delete",
... | 3 | stack_v2_sparse_classes_30k_train_019961 | Implement the Python class `Unit` described below.
Class description:
Implement the Unit class.
Method signatures and docstrings:
- def get(self, id): Fetch a unit resource given its id
- def put(self, id): Update a paramters data given its id
- def delete(self, id): Deletes a unit given its id | Implement the Python class `Unit` described below.
Class description:
Implement the Unit class.
Method signatures and docstrings:
- def get(self, id): Fetch a unit resource given its id
- def put(self, id): Update a paramters data given its id
- def delete(self, id): Deletes a unit given its id
<|skeleton|>
class Un... | d6f026e1a75d65cac993a674e9e8bcf91bc9158b | <|skeleton|>
class Unit:
def get(self, id):
"""Fetch a unit resource given its id"""
<|body_0|>
def put(self, id):
"""Update a paramters data given its id"""
<|body_1|>
def delete(self, id):
"""Deletes a unit given its id"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Unit:
def get(self, id):
"""Fetch a unit resource given its id"""
unit = service.get(id)
if not unit:
abort(404, 'unit {} Not Found'.format(id))
response = detail_schema.dump(unit).data
return (response, 200)
def put(self, id):
"""Update a param... | the_stack_v2_python_sparse | src/app/api/units.py | USEPA/Interoperable-Watersheds-Network-Data-Appliance | train | 2 | |
3c5441a9df4a66d80d30bb975cc02649e04e57f3 | [
"if server_ip == '' and server_port != 0 or (server_ip != '' and server_port == 0):\n raise Exception('server_ip和server_port必须同时指定')\nself._server_ip = server_ip\nself._server_port = server_port\nself._service_name = service_name\nself._host = host",
"headers = {'org': org, 'user': user}\nroute_name = ''\nserv... | <|body_start_0|>
if server_ip == '' and server_port != 0 or (server_ip != '' and server_port == 0):
raise Exception('server_ip和server_port必须同时指定')
self._server_ip = server_ip
self._server_port = server_port
self._service_name = service_name
self._host = host
<|end_bod... | AlertRuleClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlertRuleClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和ser... | stack_v2_sparse_classes_36k_train_013440 | 4,691 | permissive | [
{
"docstring": "初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高 :param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com",
"name": "__ini... | 3 | null | Implement the Python class `AlertRuleClient` described below.
Class description:
Implement the AlertRuleClient class.
Method signatures and docstrings:
- def __init__(self, server_ip='', server_port=0, service_name='', host=''): 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的serv... | Implement the Python class `AlertRuleClient` described below.
Class description:
Implement the AlertRuleClient class.
Method signatures and docstrings:
- def __init__(self, server_ip='', server_port=0, service_name='', host=''): 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的serv... | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | <|skeleton|>
class AlertRuleClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和ser... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AlertRuleClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，... | the_stack_v2_python_sparse | alert_service_sdk/api/alert_rule/alert_rule_client.py | easyopsapis/easyops-api-python | train | 5 | |
b713480e274200242f8abef85847966f5c90cb74 | [
"super().__init__()\nself.input_channels = input_channels\nself.output_channels = output_channels\nself.data_layout = data_layout\nGCNConv.global_count += 1\nself.name = name if name else 'GCN_{}'.format(GCNConv.global_count)\nvalue = math.sqrt(6 / (input_channels + output_channels))\nself.mat_weights = lbann.Weigh... | <|body_start_0|>
super().__init__()
self.input_channels = input_channels
self.output_channels = output_channels
self.data_layout = data_layout
GCNConv.global_count += 1
self.name = name if name else 'GCN_{}'.format(GCNConv.global_count)
value = math.sqrt(6 / (inpu... | GCN Conv later. See: https://arxiv.org/abs/1609.02907 | GCNConv | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GCNConv:
"""GCN Conv later. See: https://arxiv.org/abs/1609.02907"""
def __init__(self, input_channels, output_channels, bias=True, activation=lbann.Relu, name=None, data_layout='data_parallel'):
"""Initialize GCN layer Args: input_channels (int): The size of the input node features ... | stack_v2_sparse_classes_36k_train_013441 | 4,650 | permissive | [
{
"docstring": "Initialize GCN layer Args: input_channels (int): The size of the input node features output_channels (int): The output size of the node features bias (bool): Whether to apply biases after MatMul activation (type): Activation leyer for the node features. If None, then no activation is applied. (d... | 2 | stack_v2_sparse_classes_30k_val_000849 | Implement the Python class `GCNConv` described below.
Class description:
GCN Conv later. See: https://arxiv.org/abs/1609.02907
Method signatures and docstrings:
- def __init__(self, input_channels, output_channels, bias=True, activation=lbann.Relu, name=None, data_layout='data_parallel'): Initialize GCN layer Args: i... | Implement the Python class `GCNConv` described below.
Class description:
GCN Conv later. See: https://arxiv.org/abs/1609.02907
Method signatures and docstrings:
- def __init__(self, input_channels, output_channels, bias=True, activation=lbann.Relu, name=None, data_layout='data_parallel'): Initialize GCN layer Args: i... | 57116ecc030c0d17bc941f81131c1a335bc2c4ad | <|skeleton|>
class GCNConv:
"""GCN Conv later. See: https://arxiv.org/abs/1609.02907"""
def __init__(self, input_channels, output_channels, bias=True, activation=lbann.Relu, name=None, data_layout='data_parallel'):
"""Initialize GCN layer Args: input_channels (int): The size of the input node features ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GCNConv:
"""GCN Conv later. See: https://arxiv.org/abs/1609.02907"""
def __init__(self, input_channels, output_channels, bias=True, activation=lbann.Relu, name=None, data_layout='data_parallel'):
"""Initialize GCN layer Args: input_channels (int): The size of the input node features output_channe... | the_stack_v2_python_sparse | python/lbann/modules/graph/sparse/GCNConv.py | oyamay/lbann | train | 0 |
8417dc42f77c4855434f754f63be1bfa4d47bf15 | [
"super().__init__()\nlogger.debug('Create PaddleTextConnectionHandler to process the text request')\nself.text_engine = text_engine\nself.task = self.text_engine.executor.task\nself.model = self.text_engine.executor.model\nself.tokenizer = self.text_engine.executor.tokenizer\nself._punc_list = self.text_engine.exec... | <|body_start_0|>
super().__init__()
logger.debug('Create PaddleTextConnectionHandler to process the text request')
self.text_engine = text_engine
self.task = self.text_engine.executor.task
self.model = self.text_engine.executor.model
self.tokenizer = self.text_engine.exec... | PaddleTextConnectionHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PaddleTextConnectionHandler:
def __init__(self, text_engine):
"""The PaddleSpeech Text Server Connection Handler This connection process every server request Args: text_engine (TextEngine): The Text engine"""
<|body_0|>
def run(self, text):
"""The connection process ... | stack_v2_sparse_classes_36k_train_013442 | 6,419 | permissive | [
{
"docstring": "The PaddleSpeech Text Server Connection Handler This connection process every server request Args: text_engine (TextEngine): The Text engine",
"name": "__init__",
"signature": "def __init__(self, text_engine)"
},
{
"docstring": "The connection process the request text Args: text ... | 5 | stack_v2_sparse_classes_30k_train_006414 | Implement the Python class `PaddleTextConnectionHandler` described below.
Class description:
Implement the PaddleTextConnectionHandler class.
Method signatures and docstrings:
- def __init__(self, text_engine): The PaddleSpeech Text Server Connection Handler This connection process every server request Args: text_eng... | Implement the Python class `PaddleTextConnectionHandler` described below.
Class description:
Implement the PaddleTextConnectionHandler class.
Method signatures and docstrings:
- def __init__(self, text_engine): The PaddleSpeech Text Server Connection Handler This connection process every server request Args: text_eng... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class PaddleTextConnectionHandler:
def __init__(self, text_engine):
"""The PaddleSpeech Text Server Connection Handler This connection process every server request Args: text_engine (TextEngine): The Text engine"""
<|body_0|>
def run(self, text):
"""The connection process ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PaddleTextConnectionHandler:
def __init__(self, text_engine):
"""The PaddleSpeech Text Server Connection Handler This connection process every server request Args: text_engine (TextEngine): The Text engine"""
super().__init__()
logger.debug('Create PaddleTextConnectionHandler to proces... | the_stack_v2_python_sparse | paddlespeech/server/engine/text/python/text_engine.py | anniyanvr/DeepSpeech-1 | train | 0 | |
eedf072f38a5bd0cf24c5bde2febdee1785981fa | [
"self._disable_patching = True\nself._validate_base(self)\nself._disable_patching = False",
"self._validate()\nresult = method(*args, **kwargs)\nself._validate()\nreturn result",
"attr = super().__getattribute__(name)\nif name in ('_patched_method', '_validate', '_validate_base', '_disable_patching'):\n retu... | <|body_start_0|>
self._disable_patching = True
self._validate_base(self)
self._disable_patching = False
<|end_body_0|>
<|body_start_1|>
self._validate()
result = method(*args, **kwargs)
self._validate()
return result
<|end_body_1|>
<|body_start_2|>
attr ... | InvariantedClass | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InvariantedClass:
def _validate(self) -> None:
"""Step 5 (1st flow) or Step 4 (2nd flow). Process contract for object."""
<|body_0|>
def _patched_method(self, method: Callable, *args, **kwargs):
"""Step 4 (1st flow). Call method"""
<|body_1|>
def __getat... | stack_v2_sparse_classes_36k_train_013443 | 3,490 | permissive | [
{
"docstring": "Step 5 (1st flow) or Step 4 (2nd flow). Process contract for object.",
"name": "_validate",
"signature": "def _validate(self) -> None"
},
{
"docstring": "Step 4 (1st flow). Call method",
"name": "_patched_method",
"signature": "def _patched_method(self, method: Callable, ... | 4 | stack_v2_sparse_classes_30k_train_007069 | Implement the Python class `InvariantedClass` described below.
Class description:
Implement the InvariantedClass class.
Method signatures and docstrings:
- def _validate(self) -> None: Step 5 (1st flow) or Step 4 (2nd flow). Process contract for object.
- def _patched_method(self, method: Callable, *args, **kwargs): ... | Implement the Python class `InvariantedClass` described below.
Class description:
Implement the InvariantedClass class.
Method signatures and docstrings:
- def _validate(self) -> None: Step 5 (1st flow) or Step 4 (2nd flow). Process contract for object.
- def _patched_method(self, method: Callable, *args, **kwargs): ... | 9dff86e1dc5c8607f02ded34b6d64e770f1959fa | <|skeleton|>
class InvariantedClass:
def _validate(self) -> None:
"""Step 5 (1st flow) or Step 4 (2nd flow). Process contract for object."""
<|body_0|>
def _patched_method(self, method: Callable, *args, **kwargs):
"""Step 4 (1st flow). Call method"""
<|body_1|>
def __getat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InvariantedClass:
def _validate(self) -> None:
"""Step 5 (1st flow) or Step 4 (2nd flow). Process contract for object."""
self._disable_patching = True
self._validate_base(self)
self._disable_patching = False
def _patched_method(self, method: Callable, *args, **kwargs):
... | the_stack_v2_python_sparse | deal/_decorators/inv.py | toonarmycaptain/deal | train | 0 | |
75674ea2539bb7d4187e18d42c38398275d9421c | [
"if authorization_header is None:\n return None\nif not isinstance(authorization_header, str):\n return None\nif not authorization_header.startswith('Basic '):\n return None\nelse:\n return authorization_header.replace('Basic ', '', 1)",
"if base64_authorization_header is None:\n return None\nif no... | <|body_start_0|>
if authorization_header is None:
return None
if not isinstance(authorization_header, str):
return None
if not authorization_header.startswith('Basic '):
return None
else:
return authorization_header.replace('Basic ', '', 1)... | Basic authentication class | BasicAuth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasicAuth:
"""Basic authentication class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Extracts the base64 encoded authorization header"""
<|body_0|>
def decode_base64_authorization_header(self, base64_authorization_header: str) -... | stack_v2_sparse_classes_36k_train_013444 | 3,046 | no_license | [
{
"docstring": "Extracts the base64 encoded authorization header",
"name": "extract_base64_authorization_header",
"signature": "def extract_base64_authorization_header(self, authorization_header: str) -> str"
},
{
"docstring": "Decodes the base64 encoded authorization header",
"name": "decod... | 5 | stack_v2_sparse_classes_30k_train_007224 | Implement the Python class `BasicAuth` described below.
Class description:
Basic authentication class
Method signatures and docstrings:
- def extract_base64_authorization_header(self, authorization_header: str) -> str: Extracts the base64 encoded authorization header
- def decode_base64_authorization_header(self, bas... | Implement the Python class `BasicAuth` described below.
Class description:
Basic authentication class
Method signatures and docstrings:
- def extract_base64_authorization_header(self, authorization_header: str) -> str: Extracts the base64 encoded authorization header
- def decode_base64_authorization_header(self, bas... | 3a9bf33a51033aba492586773b30cd234bc0e80d | <|skeleton|>
class BasicAuth:
"""Basic authentication class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Extracts the base64 encoded authorization header"""
<|body_0|>
def decode_base64_authorization_header(self, base64_authorization_header: str) -... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BasicAuth:
"""Basic authentication class"""
def extract_base64_authorization_header(self, authorization_header: str) -> str:
"""Extracts the base64 encoded authorization header"""
if authorization_header is None:
return None
if not isinstance(authorization_header, str)... | the_stack_v2_python_sparse | 0x06-Basic_authentication/api/v1/auth/basic_auth.py | cort-robinson/holbertonschool-web_back_end | train | 0 |
70d4d807891ff208eb54f0241a9d57abbdfa7033 | [
"self._site = site\nself._registry_client = registry_client\nif trust_store:\n self._verify = str(trust_store)\nelse:\n self._verify = True\nif not client_credentials:\n self._cred = None\nelse:\n self._cred = (str(client_credentials[0]), str(client_credentials[1]))",
"try:\n site = self._registry_... | <|body_start_0|>
self._site = site
self._registry_client = registry_client
if trust_store:
self._verify = str(trust_store)
else:
self._verify = True
if not client_credentials:
self._cred = None
else:
self._cred = (str(client... | Handles connecting to other sites' runners and stores. | SiteRestClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SiteRestClient:
"""Handles connecting to other sites' runners and stores."""
def __init__(self, site: str, registry_client: RegistryClient, trust_store: Optional[Path]=None, client_credentials: Optional[Tuple[Path, Path]]=None) -> None:
"""Create a SiteRestClient. Args: site: The sit... | stack_v2_sparse_classes_36k_train_013445 | 6,710 | permissive | [
{
"docstring": "Create a SiteRestClient. Args: site: The site at which this client acts. registry_client: A registry client to get sites from. trust_store: A file with trusted certificates/anchors. client_credentials: An HTTPS client certificate and the corresponding key, as paths to PEM files.",
"name": "_... | 6 | stack_v2_sparse_classes_30k_train_021565 | Implement the Python class `SiteRestClient` described below.
Class description:
Handles connecting to other sites' runners and stores.
Method signatures and docstrings:
- def __init__(self, site: str, registry_client: RegistryClient, trust_store: Optional[Path]=None, client_credentials: Optional[Tuple[Path, Path]]=No... | Implement the Python class `SiteRestClient` described below.
Class description:
Handles connecting to other sites' runners and stores.
Method signatures and docstrings:
- def __init__(self, site: str, registry_client: RegistryClient, trust_store: Optional[Path]=None, client_credentials: Optional[Tuple[Path, Path]]=No... | 22f9533a506e039237227ca66faea5375cce5fcb | <|skeleton|>
class SiteRestClient:
"""Handles connecting to other sites' runners and stores."""
def __init__(self, site: str, registry_client: RegistryClient, trust_store: Optional[Path]=None, client_credentials: Optional[Tuple[Path, Path]]=None) -> None:
"""Create a SiteRestClient. Args: site: The sit... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SiteRestClient:
"""Handles connecting to other sites' runners and stores."""
def __init__(self, site: str, registry_client: RegistryClient, trust_store: Optional[Path]=None, client_credentials: Optional[Tuple[Path, Path]]=None) -> None:
"""Create a SiteRestClient. Args: site: The site at which th... | the_stack_v2_python_sparse | mahiru/rest/site_client.py | SecConNet/mahiru | train | 4 |
7517a3815c19aec69e44c85c554b61f4c07b5197 | [
"name = name.lower()\nproperties = filter(lambda property_: property_.name.lower() == name, self.property)\nif properties:\n return properties[0].value",
"name = name.lower()\nproperties = filter(lambda property_: property_.name.lower() == name, self.property)\nreturn properties and properties[0] or self._Empt... | <|body_start_0|>
name = name.lower()
properties = filter(lambda property_: property_.name.lower() == name, self.property)
if properties:
return properties[0].value
<|end_body_0|>
<|body_start_1|>
name = name.lower()
properties = filter(lambda property_: property_.nam... | Pattern class to be used as a base for xml node to py object translation | _ObjectifiedXmlNode_ | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _ObjectifiedXmlNode_:
"""Pattern class to be used as a base for xml node to py object translation"""
def getPropertyValueByName(self, name):
"""@types: str -> _ObjectifiedXmlNode_ or _EmptyCollection"""
<|body_0|>
def getPropertyByName(self, name):
"""Utility met... | stack_v2_sparse_classes_36k_train_013446 | 39,195 | no_license | [
{
"docstring": "@types: str -> _ObjectifiedXmlNode_ or _EmptyCollection",
"name": "getPropertyValueByName",
"signature": "def getPropertyValueByName(self, name)"
},
{
"docstring": "Utility method making it easy to grab properties defined in such manner <properties> <property name=\"n1\" value=\"... | 2 | stack_v2_sparse_classes_30k_val_000290 | Implement the Python class `_ObjectifiedXmlNode_` described below.
Class description:
Pattern class to be used as a base for xml node to py object translation
Method signatures and docstrings:
- def getPropertyValueByName(self, name): @types: str -> _ObjectifiedXmlNode_ or _EmptyCollection
- def getPropertyByName(sel... | Implement the Python class `_ObjectifiedXmlNode_` described below.
Class description:
Pattern class to be used as a base for xml node to py object translation
Method signatures and docstrings:
- def getPropertyValueByName(self, name): @types: str -> _ObjectifiedXmlNode_ or _EmptyCollection
- def getPropertyByName(sel... | c431e809e8d0f82e1bca7e3429dd0245560b5680 | <|skeleton|>
class _ObjectifiedXmlNode_:
"""Pattern class to be used as a base for xml node to py object translation"""
def getPropertyValueByName(self, name):
"""@types: str -> _ObjectifiedXmlNode_ or _EmptyCollection"""
<|body_0|>
def getPropertyByName(self, name):
"""Utility met... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _ObjectifiedXmlNode_:
"""Pattern class to be used as a base for xml node to py object translation"""
def getPropertyValueByName(self, name):
"""@types: str -> _ObjectifiedXmlNode_ or _EmptyCollection"""
name = name.lower()
properties = filter(lambda property_: property_.name.lower... | the_stack_v2_python_sparse | reference/ucmdb/discovery/glassfish_discoverer.py | madmonkyang/cda-record | train | 0 |
3140a93642e1fd952585b8c9297c03ea08103cc7 | [
"self.check_parameters(params)\nct = np.cos(params[0] / 2)\nst = np.sin(params[0] / 2)\ncp = np.cos(params[1])\nsp = np.sin(params[1])\ncl = np.cos(params[2])\nsl = np.sin(params[2])\nel = cl + 1j * sl\nep = cp + 1j * sp\nreturn UnitaryMatrix([[ct, -el * st], [ep * st, ep * el * ct]])",
"self.check_parameters(par... | <|body_start_0|>
self.check_parameters(params)
ct = np.cos(params[0] / 2)
st = np.sin(params[0] / 2)
cp = np.cos(params[1])
sp = np.sin(params[1])
cl = np.cos(params[2])
sl = np.sin(params[2])
el = cl + 1j * sl
ep = cp + 1j * sp
return Unit... | The U3 single qubit gate. | U3Gate | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class U3Gate:
"""The U3 single qubit gate."""
def get_unitary(self, params: Sequence[float]=[]) -> UnitaryMatrix:
"""Returns the unitary for this gate, see Unitary for more info."""
<|body_0|>
def get_grad(self, params: Sequence[float]=[]) -> np.ndarray:
"""Returns the... | stack_v2_sparse_classes_36k_train_013447 | 2,018 | permissive | [
{
"docstring": "Returns the unitary for this gate, see Unitary for more info.",
"name": "get_unitary",
"signature": "def get_unitary(self, params: Sequence[float]=[]) -> UnitaryMatrix"
},
{
"docstring": "Returns the gradient for this gate, see Gate for more info.",
"name": "get_grad",
"s... | 2 | stack_v2_sparse_classes_30k_train_004923 | Implement the Python class `U3Gate` described below.
Class description:
The U3 single qubit gate.
Method signatures and docstrings:
- def get_unitary(self, params: Sequence[float]=[]) -> UnitaryMatrix: Returns the unitary for this gate, see Unitary for more info.
- def get_grad(self, params: Sequence[float]=[]) -> np... | Implement the Python class `U3Gate` described below.
Class description:
The U3 single qubit gate.
Method signatures and docstrings:
- def get_unitary(self, params: Sequence[float]=[]) -> UnitaryMatrix: Returns the unitary for this gate, see Unitary for more info.
- def get_grad(self, params: Sequence[float]=[]) -> np... | 3083218c2f4e3c3ce4ba027d12caa30c384d7665 | <|skeleton|>
class U3Gate:
"""The U3 single qubit gate."""
def get_unitary(self, params: Sequence[float]=[]) -> UnitaryMatrix:
"""Returns the unitary for this gate, see Unitary for more info."""
<|body_0|>
def get_grad(self, params: Sequence[float]=[]) -> np.ndarray:
"""Returns the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class U3Gate:
"""The U3 single qubit gate."""
def get_unitary(self, params: Sequence[float]=[]) -> UnitaryMatrix:
"""Returns the unitary for this gate, see Unitary for more info."""
self.check_parameters(params)
ct = np.cos(params[0] / 2)
st = np.sin(params[0] / 2)
cp = ... | the_stack_v2_python_sparse | bqskit/ir/gates/parameterized/u3.py | mtreinish/bqskit | train | 0 |
036e53dd52ec497b05b88b7feef4b76992c69b6e | [
"ConfigData.__init__(self)\nself.doMainFrame()\nreturn True",
"bmp = wx.Image(self.skinGraphics() + '/splash.png').ConvertToBitmap()\nbmpStyle = wx.SPLASH_CENTRE_ON_SCREEN | wx.SPLASH_TIMEOUT\nwx.SplashScreen(bmp, bmpStyle, 1000, None, -1)\nwx.Yield()\nself.doWelcome()\nreturn True",
"welcome = TemplateDesigner... | <|body_start_0|>
ConfigData.__init__(self)
self.doMainFrame()
return True
<|end_body_0|>
<|body_start_1|>
bmp = wx.Image(self.skinGraphics() + '/splash.png').ConvertToBitmap()
bmpStyle = wx.SPLASH_CENTRE_ON_SCREEN | wx.SPLASH_TIMEOUT
wx.SplashScreen(bmp, bmpStyle, 1000, ... | TemplateDesigner | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TemplateDesigner:
def OnInit(self):
"""Called after instantiation Calls the Splash screen and returns true"""
<|body_0|>
def doSplash(self):
"""Show the Splash screen and call the method which handles the welcome dialog returns true"""
<|body_1|>
def doW... | stack_v2_sparse_classes_36k_train_013448 | 1,796 | permissive | [
{
"docstring": "Called after instantiation Calls the Splash screen and returns true",
"name": "OnInit",
"signature": "def OnInit(self)"
},
{
"docstring": "Show the Splash screen and call the method which handles the welcome dialog returns true",
"name": "doSplash",
"signature": "def doSp... | 4 | stack_v2_sparse_classes_30k_train_004173 | Implement the Python class `TemplateDesigner` described below.
Class description:
Implement the TemplateDesigner class.
Method signatures and docstrings:
- def OnInit(self): Called after instantiation Calls the Splash screen and returns true
- def doSplash(self): Show the Splash screen and call the method which handl... | Implement the Python class `TemplateDesigner` described below.
Class description:
Implement the TemplateDesigner class.
Method signatures and docstrings:
- def OnInit(self): Called after instantiation Calls the Splash screen and returns true
- def doSplash(self): Show the Splash screen and call the method which handl... | 7981ae2e5984221925f0ff94da88cfe03f8f92fc | <|skeleton|>
class TemplateDesigner:
def OnInit(self):
"""Called after instantiation Calls the Splash screen and returns true"""
<|body_0|>
def doSplash(self):
"""Show the Splash screen and call the method which handles the welcome dialog returns true"""
<|body_1|>
def doW... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TemplateDesigner:
def OnInit(self):
"""Called after instantiation Calls the Splash screen and returns true"""
ConfigData.__init__(self)
self.doMainFrame()
return True
def doSplash(self):
"""Show the Splash screen and call the method which handles the welcome dialog... | the_stack_v2_python_sparse | page_designer/template_designer/code/templatedesigner.py | s0ap/tex | train | 0 | |
c5a3ac9f940a7fc2dc669884477d9636fd3ef5d7 | [
"print('\\r\\n')\npath = os.path.dirname(os.path.realpath(__file__))\nself.run_check(path)",
"print('\\r\\n')\npath = os.path.dirname(os.path.realpath(__file__))\npath += '/../pygccxml/'\nself.run_check(path)",
"print('\\r\\n')\npath = os.path.dirname(os.path.realpath(__file__))\npath += '/../docs/examples/'\nf... | <|body_start_0|>
print('\r\n')
path = os.path.dirname(os.path.realpath(__file__))
self.run_check(path)
<|end_body_0|>
<|body_start_1|>
print('\r\n')
path = os.path.dirname(os.path.realpath(__file__))
path += '/../pygccxml/'
self.run_check(path)
<|end_body_1|>
<|... | Test | [
"BSL-1.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test:
def test_pep8_conformance_unitests(self):
"""Pep8 conformance test (unitests) Runs on the unittest directory."""
<|body_0|>
def test_pep8_conformance_pygccxml(self):
"""Pep8 conformance test (pygccxml) Runs on the pygccxml directory."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_013449 | 2,428 | permissive | [
{
"docstring": "Pep8 conformance test (unitests) Runs on the unittest directory.",
"name": "test_pep8_conformance_unitests",
"signature": "def test_pep8_conformance_unitests(self)"
},
{
"docstring": "Pep8 conformance test (pygccxml) Runs on the pygccxml directory.",
"name": "test_pep8_confor... | 5 | stack_v2_sparse_classes_30k_train_019911 | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def test_pep8_conformance_unitests(self): Pep8 conformance test (unitests) Runs on the unittest directory.
- def test_pep8_conformance_pygccxml(self): Pep8 conformance test (pygccxml) Ru... | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def test_pep8_conformance_unitests(self): Pep8 conformance test (unitests) Runs on the unittest directory.
- def test_pep8_conformance_pygccxml(self): Pep8 conformance test (pygccxml) Ru... | f872d056f477ed2438cd22b422d60dc924469805 | <|skeleton|>
class Test:
def test_pep8_conformance_unitests(self):
"""Pep8 conformance test (unitests) Runs on the unittest directory."""
<|body_0|>
def test_pep8_conformance_pygccxml(self):
"""Pep8 conformance test (pygccxml) Runs on the pygccxml directory."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test:
def test_pep8_conformance_unitests(self):
"""Pep8 conformance test (unitests) Runs on the unittest directory."""
print('\r\n')
path = os.path.dirname(os.path.realpath(__file__))
self.run_check(path)
def test_pep8_conformance_pygccxml(self):
"""Pep8 conformanc... | the_stack_v2_python_sparse | unittests/pep8_tester.py | iMichka/pygccxml | train | 0 | |
cec802315a266f548a1ba6d8a883d7dc5105a9a5 | [
"stack = list()\ncurt = head\nwhile curt:\n stack.append(curt)\n curt = curt.next\ncarry = 1\nwhile stack:\n node = stack.pop()\n su = node.val + carry\n carry = su / 10\n node.val = su % 10\nif carry:\n node = ListNode(1)\n node.next = head\n head = node\nreturn head",
"s = ''\nwhile h... | <|body_start_0|>
stack = list()
curt = head
while curt:
stack.append(curt)
curt = curt.next
carry = 1
while stack:
node = stack.pop()
su = node.val + carry
carry = su / 10
node.val = su % 10
if carry:... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def plusOne(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def plusOne(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
stack = list()
curt = head
wh... | stack_v2_sparse_classes_36k_train_013450 | 1,417 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "plusOne",
"signature": "def plusOne(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "plusOne",
"signature": "def plusOne(self, head)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def plusOne(self, head): :type head: ListNode :rtype: ListNode
- def plusOne(self, head): :type head: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def plusOne(self, head): :type head: ListNode :rtype: ListNode
- def plusOne(self, head): :type head: ListNode :rtype: ListNode
<|skeleton|>
class Solution:
def plusOne(sel... | 8bb17099be02d997d554519be360ef4aa1c028e3 | <|skeleton|>
class Solution:
def plusOne(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def plusOne(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def plusOne(self, head):
""":type head: ListNode :rtype: ListNode"""
stack = list()
curt = head
while curt:
stack.append(curt)
curt = curt.next
carry = 1
while stack:
node = stack.pop()
su = node.val + ca... | the_stack_v2_python_sparse | Google/2. medium/369. Plus One Linked List.py | yemao616/summer18 | train | 0 | |
06fdbd5e5bf8dcc90ace8ff30c0aa406da1b4ae0 | [
"self.page_mock.text = '{{REDaten\\n|BAND=S I\\n|KEINE_SCHÖPFUNGSHÖHE=ON\\n|TODESJAHR=1950\\n}}\\nbla\\n{{REAutor|Stein.}}'\nre_page = RePage(self.page_mock)\ntask = PDKSTask(None, self.logger)\ncompare({'success': True, 'changed': True}, task.run(re_page))\ncompare('', re_page[0]['TODESJAHR'].value)",
"self.page... | <|body_start_0|>
self.page_mock.text = '{{REDaten\n|BAND=S I\n|KEINE_SCHÖPFUNGSHÖHE=ON\n|TODESJAHR=1950\n}}\nbla\n{{REAutor|Stein.}}'
re_page = RePage(self.page_mock)
task = PDKSTask(None, self.logger)
compare({'success': True, 'changed': True}, task.run(re_page))
compare('', re_... | TestCOPDTask | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCOPDTask:
def test_process_newly_public_domain_tj(self):
"""article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed"""
<|body_0|>
def test_process_newly_public_domain_gj(self):
"""article is in... | stack_v2_sparse_classes_36k_train_013451 | 3,086 | permissive | [
{
"docstring": "article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed",
"name": "test_process_newly_public_domain_tj",
"signature": "def test_process_newly_public_domain_tj(self)"
},
{
"docstring": "article is in public doma... | 5 | stack_v2_sparse_classes_30k_train_012759 | Implement the Python class `TestCOPDTask` described below.
Class description:
Implement the TestCOPDTask class.
Method signatures and docstrings:
- def test_process_newly_public_domain_tj(self): article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article chang... | Implement the Python class `TestCOPDTask` described below.
Class description:
Implement the TestCOPDTask class.
Method signatures and docstrings:
- def test_process_newly_public_domain_tj(self): article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article chang... | ce0ff778eb895da81ca5fb1cf2ef4d91f08c1881 | <|skeleton|>
class TestCOPDTask:
def test_process_newly_public_domain_tj(self):
"""article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed"""
<|body_0|>
def test_process_newly_public_domain_gj(self):
"""article is in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestCOPDTask:
def test_process_newly_public_domain_tj(self):
"""article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed"""
self.page_mock.text = '{{REDaten\n|BAND=S I\n|KEINE_SCHÖPFUNGSHÖHE=ON\n|TODESJAHR=1950\n}}\nbla\n{{RE... | the_stack_v2_python_sparse | service/ws_re/scanner/tasks/test_move_to_public_domain.py | the-it/WS_THEbotIT | train | 6 | |
970b77954e3edb5d114b8701f2654963d2ef1263 | [
"\"\"\"\n You'll have to do a set of jumps, and choose for each one whether \n to do it using a rope or bricks. It's always optimal to use ropes \n in the largest jumps.\n\n \"\"\"\nA = heights\nheap = []\n'\\n Iterate on the buildings, maintaining the largest r jumps and the \\n ... | <|body_start_0|>
"""
You'll have to do a set of jumps, and choose for each one whether
to do it using a rope or bricks. It's always optimal to use ropes
in the largest jumps.
"""
A = heights
heap = []
'\n Iterate o... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def furthestBuilding(self, heights, bricks, ladders):
""":type heights: List[int] :type bricks: int :type ladders: int :rtype: int"""
<|body_0|>
def furthestBuildingHeap(self, heights, bricks, ladders):
""":type heights: List[int] :type bricks: int :type la... | stack_v2_sparse_classes_36k_train_013452 | 4,669 | no_license | [
{
"docstring": ":type heights: List[int] :type bricks: int :type ladders: int :rtype: int",
"name": "furthestBuilding",
"signature": "def furthestBuilding(self, heights, bricks, ladders)"
},
{
"docstring": ":type heights: List[int] :type bricks: int :type ladders: int :rtype: int",
"name": "... | 3 | stack_v2_sparse_classes_30k_train_019929 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def furthestBuilding(self, heights, bricks, ladders): :type heights: List[int] :type bricks: int :type ladders: int :rtype: int
- def furthestBuildingHeap(self, heights, bricks, ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def furthestBuilding(self, heights, bricks, ladders): :type heights: List[int] :type bricks: int :type ladders: int :rtype: int
- def furthestBuildingHeap(self, heights, bricks, ... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def furthestBuilding(self, heights, bricks, ladders):
""":type heights: List[int] :type bricks: int :type ladders: int :rtype: int"""
<|body_0|>
def furthestBuildingHeap(self, heights, bricks, ladders):
""":type heights: List[int] :type bricks: int :type la... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def furthestBuilding(self, heights, bricks, ladders):
""":type heights: List[int] :type bricks: int :type ladders: int :rtype: int"""
"""
You'll have to do a set of jumps, and choose for each one whether
to do it using a rope or bricks. It's always op... | the_stack_v2_python_sparse | F/FurthestBuildingYouCanReach.py | bssrdf/pyleet | train | 2 | |
87629a2c258546b8fa1dd7e4c5ab97a8c2509d27 | [
"n2_disp1d = np.arange(-self.N + 1, self.N + 1) ** 2\nn2 = np.sum([el.flatten() for el in np.meshgrid(*[n2_disp1d] * self._ndim)], axis=0)\nif self.spherical:\n n2 = np.array([el for el in n2 if el < self.N ** 2])\nreturn n2",
"all_vecs = {}\nfor n2 in self._get_n2():\n all_vecs[n2] = all_vecs.get(n2, 0) + ... | <|body_start_0|>
n2_disp1d = np.arange(-self.N + 1, self.N + 1) ** 2
n2 = np.sum([el.flatten() for el in np.meshgrid(*[n2_disp1d] * self._ndim)], axis=0)
if self.spherical:
n2 = np.array([el for el in n2 if el < self.N ** 2])
return n2
<|end_body_0|>
<|body_start_1|>
... | Two dimensional Zeta function for discretized finite volume. This class implements $$ S_2^{A}(x; N) = \\\\sum_{n_i \\\\in M^A(N)} \\\\frac{1}{\\\\vec{n}^2 - x} - 2 \\\\pi \\\\log(N) + \\\\delta^A $$ where \\\\(N = \\\\Lambda L / (2 \\\\pi)\\\\) is the cutoff of the zeta function, \\\\(A\\\\) means either spherical or c... | Zeta2D | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Zeta2D:
"""Two dimensional Zeta function for discretized finite volume. This class implements $$ S_2^{A}(x; N) = \\\\sum_{n_i \\\\in M^A(N)} \\\\frac{1}{\\\\vec{n}^2 - x} - 2 \\\\pi \\\\log(N) + \\\\delta^A $$ where \\\\(N = \\\\Lambda L / (2 \\\\pi)\\\\) is the cutoff of the zeta function, \\\\(... | stack_v2_sparse_classes_36k_train_013453 | 5,339 | permissive | [
{
"docstring": "Returns all normalized momentum modes allowed on the lattice. This is the list of all \\\\\\\\(n^2 = n_1^2 + n_2^2\\\\\\\\) with * \\\\\\\\(\\\\\\\\Lambda \\\\\\\\leq n_i < \\\\\\\\Lambda\\\\\\\\) (cartesian) * \\\\\\\\(n^2 < \\\\\\\\Lambda\\\\\\\\) (spherical)",
"name": "_get_n2",
"sign... | 3 | stack_v2_sparse_classes_30k_train_017316 | Implement the Python class `Zeta2D` described below.
Class description:
Two dimensional Zeta function for discretized finite volume. This class implements $$ S_2^{A}(x; N) = \\\\sum_{n_i \\\\in M^A(N)} \\\\frac{1}{\\\\vec{n}^2 - x} - 2 \\\\pi \\\\log(N) + \\\\delta^A $$ where \\\\(N = \\\\Lambda L / (2 \\\\pi)\\\\) is... | Implement the Python class `Zeta2D` described below.
Class description:
Two dimensional Zeta function for discretized finite volume. This class implements $$ S_2^{A}(x; N) = \\\\sum_{n_i \\\\in M^A(N)} \\\\frac{1}{\\\\vec{n}^2 - x} - 2 \\\\pi \\\\log(N) + \\\\delta^A $$ where \\\\(N = \\\\Lambda L / (2 \\\\pi)\\\\) is... | d1bc6bff0c6ee9f4dc0d1d0bb4bcfa842c44cceb | <|skeleton|>
class Zeta2D:
"""Two dimensional Zeta function for discretized finite volume. This class implements $$ S_2^{A}(x; N) = \\\\sum_{n_i \\\\in M^A(N)} \\\\frac{1}{\\\\vec{n}^2 - x} - 2 \\\\pi \\\\log(N) + \\\\delta^A $$ where \\\\(N = \\\\Lambda L / (2 \\\\pi)\\\\) is the cutoff of the zeta function, \\\\(... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Zeta2D:
"""Two dimensional Zeta function for discretized finite volume. This class implements $$ S_2^{A}(x; N) = \\\\sum_{n_i \\\\in M^A(N)} \\\\frac{1}{\\\\vec{n}^2 - x} - 2 \\\\pi \\\\log(N) + \\\\delta^A $$ where \\\\(N = \\\\Lambda L / (2 \\\\pi)\\\\) is the cutoff of the zeta function, \\\\(A\\\\) means ... | the_stack_v2_python_sparse | luescher_nd/zeta/zeta2d.py | ckoerber/luescher-nd | train | 2 |
0372bd457bf7f2bed9a41da325f43fb4081d1f3b | [
"if not head or not head.next:\n return head\nlength = 0\ncur = head\nwhile cur:\n length += 1\n cur = cur.next\nmove = length / 2\ncur = head\npre = head\nwhile move > 0:\n pre = cur\n cur = cur.next\n move -= 1\npre.next = None\nhead2 = self.reverse(cur)\ncur = head\nwhile cur and head2:\n tm... | <|body_start_0|>
if not head or not head.next:
return head
length = 0
cur = head
while cur:
length += 1
cur = cur.next
move = length / 2
cur = head
pre = head
while move > 0:
pre = cur
cur = cur.n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reorderList(self, head):
""":type head: ListNode :rtype: None Do not return anything, modify head in-place instead."""
<|body_0|>
def reverse(self, head):
"""翻转链表 :param head: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if... | stack_v2_sparse_classes_36k_train_013454 | 1,383 | no_license | [
{
"docstring": ":type head: ListNode :rtype: None Do not return anything, modify head in-place instead.",
"name": "reorderList",
"signature": "def reorderList(self, head)"
},
{
"docstring": "翻转链表 :param head: :return:",
"name": "reverse",
"signature": "def reverse(self, head)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reorderList(self, head): :type head: ListNode :rtype: None Do not return anything, modify head in-place instead.
- def reverse(self, head): 翻转链表 :param head: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reorderList(self, head): :type head: ListNode :rtype: None Do not return anything, modify head in-place instead.
- def reverse(self, head): 翻转链表 :param head: :return:
<|skel... | a75310a96d2b165b15d5ee10ec409a17cdc880ba | <|skeleton|>
class Solution:
def reorderList(self, head):
""":type head: ListNode :rtype: None Do not return anything, modify head in-place instead."""
<|body_0|>
def reverse(self, head):
"""翻转链表 :param head: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reorderList(self, head):
""":type head: ListNode :rtype: None Do not return anything, modify head in-place instead."""
if not head or not head.next:
return head
length = 0
cur = head
while cur:
length += 1
cur = cur.next... | the_stack_v2_python_sparse | leetcode/linked_list/code/143.py | skyxyz-lang/CS_Note | train | 0 | |
79609da4ebb7b41e9546575df82cac770fc8e609 | [
"permissions = [IsAuthenticated]\nif self.action in ['update', 'partial_update', 'destroy']:\n permissions.append(IsRecipeOwner)\nreturn [permission() for permission in permissions]",
"if self.action == 'create':\n return CreateRecipeSerializer\nelse:\n return RecipeModelSerializer",
"fridge_ingredient... | <|body_start_0|>
permissions = [IsAuthenticated]
if self.action in ['update', 'partial_update', 'destroy']:
permissions.append(IsRecipeOwner)
return [permission() for permission in permissions]
<|end_body_0|>
<|body_start_1|>
if self.action == 'create':
return Cr... | Recipes viewset. | RecipesViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecipesViewSet:
"""Recipes viewset."""
def get_permissions(self):
"""Assign permissions based on action."""
<|body_0|>
def get_serializer_class(self):
"""Return serializer class based on action."""
<|body_1|>
def possible_recipes(self, request):
... | stack_v2_sparse_classes_36k_train_013455 | 2,893 | no_license | [
{
"docstring": "Assign permissions based on action.",
"name": "get_permissions",
"signature": "def get_permissions(self)"
},
{
"docstring": "Return serializer class based on action.",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": ... | 4 | stack_v2_sparse_classes_30k_train_014141 | Implement the Python class `RecipesViewSet` described below.
Class description:
Recipes viewset.
Method signatures and docstrings:
- def get_permissions(self): Assign permissions based on action.
- def get_serializer_class(self): Return serializer class based on action.
- def possible_recipes(self, request): Returns ... | Implement the Python class `RecipesViewSet` described below.
Class description:
Recipes viewset.
Method signatures and docstrings:
- def get_permissions(self): Assign permissions based on action.
- def get_serializer_class(self): Return serializer class based on action.
- def possible_recipes(self, request): Returns ... | 5cd1b3155c4542d0479948f39701b539497e28f7 | <|skeleton|>
class RecipesViewSet:
"""Recipes viewset."""
def get_permissions(self):
"""Assign permissions based on action."""
<|body_0|>
def get_serializer_class(self):
"""Return serializer class based on action."""
<|body_1|>
def possible_recipes(self, request):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RecipesViewSet:
"""Recipes viewset."""
def get_permissions(self):
"""Assign permissions based on action."""
permissions = [IsAuthenticated]
if self.action in ['update', 'partial_update', 'destroy']:
permissions.append(IsRecipeOwner)
return [permission() for per... | the_stack_v2_python_sparse | apps/recipes/views/recipes.py | NicolasTerroni/MyFridgeAPI | train | 0 |
bf44bef705f056479f0efebb33885a747a70deea | [
"self.project_id = project_id\nself.cluster_id = cluster_id\ntry:\n self.tool = Tool.objects.get(id=tool_id)\nexcept Tool.DoesNotExist:\n raise ValidationError(f'invalid tool_id({tool_id})')\nself.cmd = HelmCmd(project_id=project_id, cluster_id=cluster_id)",
"itool = InstalledTool.create(request_user.userna... | <|body_start_0|>
self.project_id = project_id
self.cluster_id = cluster_id
try:
self.tool = Tool.objects.get(id=tool_id)
except Tool.DoesNotExist:
raise ValidationError(f'invalid tool_id({tool_id})')
self.cmd = HelmCmd(project_id=project_id, cluster_id=clu... | 组件管理器: 管理组件的安装, 更新和卸载 | ToolManager | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"CC0-1.0",
"BSD-3-Clause",
"ISC",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ToolManager:
"""组件管理器: 管理组件的安装, 更新和卸载"""
def __init__(self, project_id: str, cluster_id: str, tool_id: int):
"""初始化 :param project_id 项目 ID :param cluster_id 集群 ID :param tool_id 组件库中的组件 ID"""
<|body_0|>
def install(self, request_user, values: Optional[str]=None) -> Inst... | stack_v2_sparse_classes_36k_train_013456 | 6,700 | permissive | [
{
"docstring": "初始化 :param project_id 项目 ID :param cluster_id 集群 ID :param tool_id 组件库中的组件 ID",
"name": "__init__",
"signature": "def __init__(self, project_id: str, cluster_id: str, tool_id: int)"
},
{
"docstring": "安装组件 :param request_user: 操作者信息(request.user) :param values: 安装组件时的初始配置",
"... | 4 | null | Implement the Python class `ToolManager` described below.
Class description:
组件管理器: 管理组件的安装, 更新和卸载
Method signatures and docstrings:
- def __init__(self, project_id: str, cluster_id: str, tool_id: int): 初始化 :param project_id 项目 ID :param cluster_id 集群 ID :param tool_id 组件库中的组件 ID
- def install(self, request_user, val... | Implement the Python class `ToolManager` described below.
Class description:
组件管理器: 管理组件的安装, 更新和卸载
Method signatures and docstrings:
- def __init__(self, project_id: str, cluster_id: str, tool_id: int): 初始化 :param project_id 项目 ID :param cluster_id 集群 ID :param tool_id 组件库中的组件 ID
- def install(self, request_user, val... | 859a415ef35ea1c01f0ed040956afa849a4cb7be | <|skeleton|>
class ToolManager:
"""组件管理器: 管理组件的安装, 更新和卸载"""
def __init__(self, project_id: str, cluster_id: str, tool_id: int):
"""初始化 :param project_id 项目 ID :param cluster_id 集群 ID :param tool_id 组件库中的组件 ID"""
<|body_0|>
def install(self, request_user, values: Optional[str]=None) -> Inst... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ToolManager:
"""组件管理器: 管理组件的安装, 更新和卸载"""
def __init__(self, project_id: str, cluster_id: str, tool_id: int):
"""初始化 :param project_id 项目 ID :param cluster_id 集群 ID :param tool_id 组件库中的组件 ID"""
self.project_id = project_id
self.cluster_id = cluster_id
try:
self.... | the_stack_v2_python_sparse | bcs-ui/backend/container_service/cluster_tools/manager.py | DeveloperJim/bk-bcs | train | 5 |
17d3d0945ade65d73d016a58daaf48e9f5df8891 | [
"xsrf_token = self.request.get('xsrf-token', None)\nif settings.XSRF_PROTECTION_ENABLED:\n if not util.XsrfTokenValidate(xsrf_token, action, user=email):\n raise errors.AccessDeniedError('Valid XSRF token not provided')\nelif not xsrf_token:\n logging.info('Ignoring missing XSRF token; settings.XSRF_PR... | <|body_start_0|>
xsrf_token = self.request.get('xsrf-token', None)
if settings.XSRF_PROTECTION_ENABLED:
if not util.XsrfTokenValidate(xsrf_token, action, user=email):
raise errors.AccessDeniedError('Valid XSRF token not provided')
elif not xsrf_token:
logg... | Class which handles AccessError exceptions. | BaseHandler | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseHandler:
"""Class which handles AccessError exceptions."""
def VerifyXsrfToken(self, action, email=None):
"""Verifies a valid XSRF token was passed for the current request. Args: action: String, validate the token against this action. email: optional, str; current user's email. R... | stack_v2_sparse_classes_36k_train_013457 | 4,354 | permissive | [
{
"docstring": "Verifies a valid XSRF token was passed for the current request. Args: action: String, validate the token against this action. email: optional, str; current user's email. Returns: Boolean. True if the XSRF Token was valid. Raises: errors.AccessDeniedError: the XSRF token was invalid or not suppli... | 2 | stack_v2_sparse_classes_30k_train_019380 | Implement the Python class `BaseHandler` described below.
Class description:
Class which handles AccessError exceptions.
Method signatures and docstrings:
- def VerifyXsrfToken(self, action, email=None): Verifies a valid XSRF token was passed for the current request. Args: action: String, validate the token against t... | Implement the Python class `BaseHandler` described below.
Class description:
Class which handles AccessError exceptions.
Method signatures and docstrings:
- def VerifyXsrfToken(self, action, email=None): Verifies a valid XSRF token was passed for the current request. Args: action: String, validate the token against t... | d3f52501ebed8b9a392350c8e177bbc602a6a09d | <|skeleton|>
class BaseHandler:
"""Class which handles AccessError exceptions."""
def VerifyXsrfToken(self, action, email=None):
"""Verifies a valid XSRF token was passed for the current request. Args: action: String, validate the token against this action. email: optional, str; current user's email. R... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseHandler:
"""Class which handles AccessError exceptions."""
def VerifyXsrfToken(self, action, email=None):
"""Verifies a valid XSRF token was passed for the current request. Args: action: String, validate the token against this action. email: optional, str; current user's email. Returns: Boole... | the_stack_v2_python_sparse | cauliflowervest/server/handlers/base_handler.py | ghas-results/cauliflowervest | train | 0 |
ac10d941590290c988be4b79d33718a2b5a4eb55 | [
"app_prompt = {'header': 'Add Reddit application', 'description': \"Please go to https://www.reddit.com/prefs/apps and click on 'create app'.\\nFill out the form that appears:\\nname: enter any name you'd like for the app\\ntype of app: select 'script'\\ndescription: (optional field)\\nabout url: (optional field)\\... | <|body_start_0|>
app_prompt = {'header': 'Add Reddit application', 'description': "Please go to https://www.reddit.com/prefs/apps and click on 'create app'.\nFill out the form that appears:\nname: enter any name you'd like for the app\ntype of app: select 'script'\ndescription: (optional field)\nabout url: (opt... | Class defined mainly to add credentials | reddit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class reddit:
"""Class defined mainly to add credentials"""
def add_application(self, appname='default'):
"""Add a Reddit app"""
<|body_0|>
def add_credentials(self, appname='default'):
"""Add credentials to a specified app"""
<|body_1|>
def _get_client(se... | stack_v2_sparse_classes_36k_train_013458 | 12,095 | no_license | [
{
"docstring": "Add a Reddit app",
"name": "add_application",
"signature": "def add_application(self, appname='default')"
},
{
"docstring": "Add credentials to a specified app",
"name": "add_credentials",
"signature": "def add_credentials(self, appname='default')"
},
{
"docstring... | 3 | stack_v2_sparse_classes_30k_train_006450 | Implement the Python class `reddit` described below.
Class description:
Class defined mainly to add credentials
Method signatures and docstrings:
- def add_application(self, appname='default'): Add a Reddit app
- def add_credentials(self, appname='default'): Add credentials to a specified app
- def _get_client(self, ... | Implement the Python class `reddit` described below.
Class description:
Class defined mainly to add credentials
Method signatures and docstrings:
- def add_application(self, appname='default'): Add a Reddit app
- def add_credentials(self, appname='default'): Add credentials to a specified app
- def _get_client(self, ... | b3532ca47d59013fe88731ee0a5fe95b6e8e40f1 | <|skeleton|>
class reddit:
"""Class defined mainly to add credentials"""
def add_application(self, appname='default'):
"""Add a Reddit app"""
<|body_0|>
def add_credentials(self, appname='default'):
"""Add credentials to a specified app"""
<|body_1|>
def _get_client(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class reddit:
"""Class defined mainly to add credentials"""
def add_application(self, appname='default'):
"""Add a Reddit app"""
app_prompt = {'header': 'Add Reddit application', 'description': "Please go to https://www.reddit.com/prefs/apps and click on 'create app'.\nFill out the form that ap... | the_stack_v2_python_sparse | inca/clients/reddit_client.py | uvacw/inca | train | 23 |
8659451e6172ff2bf2a74292389e40a4ed166de5 | [
"self.wall_list = pygame.sprite.Group()\nself.enemy_list = pygame.sprite.Group()\nself.sludge = pygame.sprite.Group()\nself.consumeable = pygame.sprite.Group()\nself.can_climb = pygame.sprite.Group()\nself.player = player\nself.spore_list = [Decompose_Spore, Ledge_Spore]\nself.active_spore = self.spore_list[0]\nsel... | <|body_start_0|>
self.wall_list = pygame.sprite.Group()
self.enemy_list = pygame.sprite.Group()
self.sludge = pygame.sprite.Group()
self.consumeable = pygame.sprite.Group()
self.can_climb = pygame.sprite.Group()
self.player = player
self.spore_list = [Decompose_Sp... | This is a generic super-class used to define a level. Create a child class for each level with level-specific info. | Room | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Room:
"""This is a generic super-class used to define a level. Create a child class for each level with level-specific info."""
def __init__(self, player):
"""Constructor. Pass in a handle to player. Needed for when moving platforms collide with the player."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_013459 | 4,353 | permissive | [
{
"docstring": "Constructor. Pass in a handle to player. Needed for when moving platforms collide with the player.",
"name": "__init__",
"signature": "def __init__(self, player)"
},
{
"docstring": "Update everything in this level.",
"name": "update",
"signature": "def update(self)"
},
... | 4 | stack_v2_sparse_classes_30k_train_013175 | Implement the Python class `Room` described below.
Class description:
This is a generic super-class used to define a level. Create a child class for each level with level-specific info.
Method signatures and docstrings:
- def __init__(self, player): Constructor. Pass in a handle to player. Needed for when moving plat... | Implement the Python class `Room` described below.
Class description:
This is a generic super-class used to define a level. Create a child class for each level with level-specific info.
Method signatures and docstrings:
- def __init__(self, player): Constructor. Pass in a handle to player. Needed for when moving plat... | 85b93c3ed756afec05a1c2ca58b68f856aa140cb | <|skeleton|>
class Room:
"""This is a generic super-class used to define a level. Create a child class for each level with level-specific info."""
def __init__(self, player):
"""Constructor. Pass in a handle to player. Needed for when moving platforms collide with the player."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Room:
"""This is a generic super-class used to define a level. Create a child class for each level with level-specific info."""
def __init__(self, player):
"""Constructor. Pass in a handle to player. Needed for when moving platforms collide with the player."""
self.wall_list = pygame.spri... | the_stack_v2_python_sparse | Sean_Code_Review.py | KaitlynKeil/bug-free-spork | train | 0 |
3a04d2fbdbcdd11d1baa0f7f3a87f70299d5ae75 | [
"specs = super().getInputSpecification()\nspecs.name = 'differencing'\nspecs.description = 'applies Nth order differencing to the data.'\nspecs.addSub(InputData.parameterInputFactory('order', contentType=InputTypes.IntegerType, descr='differencing order.'))\nreturn specs",
"settings = super().handleInput(spec)\ns... | <|body_start_0|>
specs = super().getInputSpecification()
specs.name = 'differencing'
specs.description = 'applies Nth order differencing to the data.'
specs.addSub(InputData.parameterInputFactory('order', contentType=InputTypes.IntegerType, descr='differencing order.'))
return sp... | Differences the signal N times. | Differencing | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Differencing:
"""Differences the signal N times."""
def getInputSpecification(cls):
"""Method to get a reference to a class that specifies the input data for class cls. @ In, None @ Out, specs, InputData.ParameterInput, class to use for specifying input of cls."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_013460 | 5,350 | permissive | [
{
"docstring": "Method to get a reference to a class that specifies the input data for class cls. @ In, None @ Out, specs, InputData.ParameterInput, class to use for specifying input of cls.",
"name": "getInputSpecification",
"signature": "def getInputSpecification(cls)"
},
{
"docstring": "Reads... | 6 | null | Implement the Python class `Differencing` described below.
Class description:
Differences the signal N times.
Method signatures and docstrings:
- def getInputSpecification(cls): Method to get a reference to a class that specifies the input data for class cls. @ In, None @ Out, specs, InputData.ParameterInput, class t... | Implement the Python class `Differencing` described below.
Class description:
Differences the signal N times.
Method signatures and docstrings:
- def getInputSpecification(cls): Method to get a reference to a class that specifies the input data for class cls. @ In, None @ Out, specs, InputData.ParameterInput, class t... | 2b16e7aa3325fe84cab2477947a951414c635381 | <|skeleton|>
class Differencing:
"""Differences the signal N times."""
def getInputSpecification(cls):
"""Method to get a reference to a class that specifies the input data for class cls. @ In, None @ Out, specs, InputData.ParameterInput, class to use for specifying input of cls."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Differencing:
"""Differences the signal N times."""
def getInputSpecification(cls):
"""Method to get a reference to a class that specifies the input data for class cls. @ In, None @ Out, specs, InputData.ParameterInput, class to use for specifying input of cls."""
specs = super().getInput... | the_stack_v2_python_sparse | ravenframework/TSA/Transformers/Differencing.py | idaholab/raven | train | 201 |
eec162e62d7481b26c41010b187e808c90d05ed2 | [
"if not n:\n return n\nprv_1, prv_2 = (1, 0)\nfor i in range(n):\n prv_1, prv_2 = (prv_1 + prv_2, prv_1)\nreturn prv_1",
"if n < 3:\n return n\nreturn self.climbStairs(n - 2) + self.climbStairs(n - 1)"
] | <|body_start_0|>
if not n:
return n
prv_1, prv_2 = (1, 0)
for i in range(n):
prv_1, prv_2 = (prv_1 + prv_2, prv_1)
return prv_1
<|end_body_0|>
<|body_start_1|>
if n < 3:
return n
return self.climbStairs(n - 2) + self.climbStairs(n - 1)... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def climbStairs(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def climbStairs2(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not n:
return n
prv_1, prv_2 = (1, 0)
... | stack_v2_sparse_classes_36k_train_013461 | 547 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "climbStairs",
"signature": "def climbStairs(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "climbStairs2",
"signature": "def climbStairs2(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009344 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def climbStairs(self, n): :type n: int :rtype: int
- def climbStairs2(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def climbStairs(self, n): :type n: int :rtype: int
- def climbStairs2(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def climbStairs(self, n):
""":... | ac53dd9bf2c4c9d17c9dc5f7fdda32e386658fdd | <|skeleton|>
class Solution:
def climbStairs(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def climbStairs2(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def climbStairs(self, n):
""":type n: int :rtype: int"""
if not n:
return n
prv_1, prv_2 = (1, 0)
for i in range(n):
prv_1, prv_2 = (prv_1 + prv_2, prv_1)
return prv_1
def climbStairs2(self, n):
""":type n: int :rtype: int"... | the_stack_v2_python_sparse | cs_notes/dynamic_programming/climbing_stairs.py | hwc1824/LeetCodeSolution | train | 0 | |
9985abc960788d175174727dd8eeff505caab325 | [
"self.Triton = TritonContext()\nself.Triton.setArchitecture(ARCH.X86_64)\nself.astCtxt = self.Triton.getAstContext()",
"expr1 = self.Triton.newSymbolicExpression(self.astCtxt.bv(17, 8))\nmem = MemoryAccess(256, CPUSIZE.BYTE)\nself.Triton.assignSymbolicExpressionToMemory(expr1, mem)\nexpr2 = self.Triton.getSymboli... | <|body_start_0|>
self.Triton = TritonContext()
self.Triton.setArchitecture(ARCH.X86_64)
self.astCtxt = self.Triton.getAstContext()
<|end_body_0|>
<|body_start_1|>
expr1 = self.Triton.newSymbolicExpression(self.astCtxt.bv(17, 8))
mem = MemoryAccess(256, CPUSIZE.BYTE)
self... | Testing the symbolic engine. | TestSymbolic | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSymbolic:
"""Testing the symbolic engine."""
def setUp(self):
"""Define the arch."""
<|body_0|>
def test_bind_expr_to_memory(self):
"""Check symbolic expression binded to memory can be retrieve."""
<|body_1|>
def test_bind_expr_to_multi_memory(se... | stack_v2_sparse_classes_36k_train_013462 | 4,357 | permissive | [
{
"docstring": "Define the arch.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Check symbolic expression binded to memory can be retrieve.",
"name": "test_bind_expr_to_memory",
"signature": "def test_bind_expr_to_memory(self)"
},
{
"docstring": "Check symbo... | 4 | null | Implement the Python class `TestSymbolic` described below.
Class description:
Testing the symbolic engine.
Method signatures and docstrings:
- def setUp(self): Define the arch.
- def test_bind_expr_to_memory(self): Check symbolic expression binded to memory can be retrieve.
- def test_bind_expr_to_multi_memory(self):... | Implement the Python class `TestSymbolic` described below.
Class description:
Testing the symbolic engine.
Method signatures and docstrings:
- def setUp(self): Define the arch.
- def test_bind_expr_to_memory(self): Check symbolic expression binded to memory can be retrieve.
- def test_bind_expr_to_multi_memory(self):... | a61651ce331ac53ec09e1d8fef5eab744e98c9de | <|skeleton|>
class TestSymbolic:
"""Testing the symbolic engine."""
def setUp(self):
"""Define the arch."""
<|body_0|>
def test_bind_expr_to_memory(self):
"""Check symbolic expression binded to memory can be retrieve."""
<|body_1|>
def test_bind_expr_to_multi_memory(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSymbolic:
"""Testing the symbolic engine."""
def setUp(self):
"""Define the arch."""
self.Triton = TritonContext()
self.Triton.setArchitecture(ARCH.X86_64)
self.astCtxt = self.Triton.getAstContext()
def test_bind_expr_to_memory(self):
"""Check symbolic exp... | the_stack_v2_python_sparse | src/testers/unittests/test_symbolic.py | JonathanSalwan/Triton | train | 3,163 |
55ebd2d2d70382b10b68b082d5b7b73ced4f01e6 | [
"self.X = X_init\nself.Y = Y_init\nself.l = l\nself.sigma_f = sigma_f\nself.K = self.kernel(X_init, X_init)",
"σ2 = self.sigma_f ** 2\nl2 = self.l ** 2\nsqr_sumx1 = np.sum(X1 ** 2, 1).reshape(-1, 1)\nsqr_sumx2 = np.sum(X2 ** 2, 1)\nsqr_dist = sqr_sumx1 - 2 * np.dot(X1, X2.T) + sqr_sumx2\nkernel = σ2 * np.exp(-0.5... | <|body_start_0|>
self.X = X_init
self.Y = Y_init
self.l = l
self.sigma_f = sigma_f
self.K = self.kernel(X_init, X_init)
<|end_body_0|>
<|body_start_1|>
σ2 = self.sigma_f ** 2
l2 = self.l ** 2
sqr_sumx1 = np.sum(X1 ** 2, 1).reshape(-1, 1)
sqr_sumx2... | Represents a noiseless 1D Gaussian process | GaussianProcess | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GaussianProcess:
"""Represents a noiseless 1D Gaussian process"""
def __init__(self, X_init, Y_init, l=1, sigma_f=1):
"""Instantiation methid Args: X_init is a numpy.ndarray of shape (t, 1) representing the inputs already sampled with the black-box function Y_init is a numpy.ndarray ... | stack_v2_sparse_classes_36k_train_013463 | 2,246 | no_license | [
{
"docstring": "Instantiation methid Args: X_init is a numpy.ndarray of shape (t, 1) representing the inputs already sampled with the black-box function Y_init is a numpy.ndarray of shape (t, 1) representing the outputs of the black-box function for each input in X_init l is the length parameter for the kernel ... | 3 | stack_v2_sparse_classes_30k_train_002506 | Implement the Python class `GaussianProcess` described below.
Class description:
Represents a noiseless 1D Gaussian process
Method signatures and docstrings:
- def __init__(self, X_init, Y_init, l=1, sigma_f=1): Instantiation methid Args: X_init is a numpy.ndarray of shape (t, 1) representing the inputs already sampl... | Implement the Python class `GaussianProcess` described below.
Class description:
Represents a noiseless 1D Gaussian process
Method signatures and docstrings:
- def __init__(self, X_init, Y_init, l=1, sigma_f=1): Instantiation methid Args: X_init is a numpy.ndarray of shape (t, 1) representing the inputs already sampl... | bb980395b146c9f4e0d4e9766c4a36f67de70d2e | <|skeleton|>
class GaussianProcess:
"""Represents a noiseless 1D Gaussian process"""
def __init__(self, X_init, Y_init, l=1, sigma_f=1):
"""Instantiation methid Args: X_init is a numpy.ndarray of shape (t, 1) representing the inputs already sampled with the black-box function Y_init is a numpy.ndarray ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GaussianProcess:
"""Represents a noiseless 1D Gaussian process"""
def __init__(self, X_init, Y_init, l=1, sigma_f=1):
"""Instantiation methid Args: X_init is a numpy.ndarray of shape (t, 1) representing the inputs already sampled with the black-box function Y_init is a numpy.ndarray of shape (t, ... | the_stack_v2_python_sparse | unsupervised_learning/0x03-hyperparameter_tuning/1-gp.py | AndrewKalil/holbertonschool-machine_learning | train | 0 |
a10bcaeec6ab1d0db5624810b75b64b16fa5857e | [
"task = get_object_or_404(Task, id=id)\nform = TaskForm(instance=task)\nreturn render(request, 'task/add-task.html', {'form': form, 'func': 'Update', 'task': task})",
"task = get_object_or_404(Task, id=id)\norder = get_object_or_404(Order, id=task.order.id)\nform = TaskForm(request.POST, instance=task)\nif form.i... | <|body_start_0|>
task = get_object_or_404(Task, id=id)
form = TaskForm(instance=task)
return render(request, 'task/add-task.html', {'form': form, 'func': 'Update', 'task': task})
<|end_body_0|>
<|body_start_1|>
task = get_object_or_404(Task, id=id)
order = get_object_or_404(Orde... | Class based view for updating new task. | TaskUpdateView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskUpdateView:
"""Class based view for updating new task."""
def get(self, request, id):
"""Return add new task form."""
<|body_0|>
def post(self, request, id):
"""Save order and redirect to task list."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_013464 | 3,296 | no_license | [
{
"docstring": "Return add new task form.",
"name": "get",
"signature": "def get(self, request, id)"
},
{
"docstring": "Save order and redirect to task list.",
"name": "post",
"signature": "def post(self, request, id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006455 | Implement the Python class `TaskUpdateView` described below.
Class description:
Class based view for updating new task.
Method signatures and docstrings:
- def get(self, request, id): Return add new task form.
- def post(self, request, id): Save order and redirect to task list. | Implement the Python class `TaskUpdateView` described below.
Class description:
Class based view for updating new task.
Method signatures and docstrings:
- def get(self, request, id): Return add new task form.
- def post(self, request, id): Save order and redirect to task list.
<|skeleton|>
class TaskUpdateView:
... | 93c3106ab90fb9aed85658f93f51686ba4734091 | <|skeleton|>
class TaskUpdateView:
"""Class based view for updating new task."""
def get(self, request, id):
"""Return add new task form."""
<|body_0|>
def post(self, request, id):
"""Save order and redirect to task list."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskUpdateView:
"""Class based view for updating new task."""
def get(self, request, id):
"""Return add new task form."""
task = get_object_or_404(Task, id=id)
form = TaskForm(instance=task)
return render(request, 'task/add-task.html', {'form': form, 'func': 'Update', 'tas... | the_stack_v2_python_sparse | order/views/task_views.py | saadali5997/tms | train | 0 |
42a999234b876fab73f16660a6c6d8a2d6aa2612 | [
"self.ListOfUrl = ListOfUrl\nself.url = None\nself.usr_agent = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}\nself.directory = os.getcwd()\nself.alt_dict = {}\nself.title_dict = {}\nself.h2_dict = {}\nself.h3_dict = {}",
"i = ... | <|body_start_0|>
self.ListOfUrl = ListOfUrl
self.url = None
self.usr_agent = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}
self.directory = os.getcwd()
self.alt_dict = {}
self.title_di... | FetchTags class has Constructor, get_results as method with with the Main.py will interact. Other methods with which the internal methods will interact are get_html,get_keywords, save_file and count_frequency. | FetchTags | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FetchTags:
"""FetchTags class has Constructor, get_results as method with with the Main.py will interact. Other methods with which the internal methods will interact are get_html,get_keywords, save_file and count_frequency."""
def __init__(self, ListOfUrl):
"""__init__ method takes L... | stack_v2_sparse_classes_36k_train_013465 | 5,116 | permissive | [
{
"docstring": "__init__ method takes ListOfUrl generated by SearchResuts module",
"name": "__init__",
"signature": "def __init__(self, ListOfUrl)"
},
{
"docstring": "get_results method returns 4 dictionaries with keywords as keys and their frecuency as value",
"name": "get_results",
"si... | 6 | stack_v2_sparse_classes_30k_train_013714 | Implement the Python class `FetchTags` described below.
Class description:
FetchTags class has Constructor, get_results as method with with the Main.py will interact. Other methods with which the internal methods will interact are get_html,get_keywords, save_file and count_frequency.
Method signatures and docstrings:... | Implement the Python class `FetchTags` described below.
Class description:
FetchTags class has Constructor, get_results as method with with the Main.py will interact. Other methods with which the internal methods will interact are get_html,get_keywords, save_file and count_frequency.
Method signatures and docstrings:... | 31fd3fb1233f39ea2252a7a44160ff8a2140f7bd | <|skeleton|>
class FetchTags:
"""FetchTags class has Constructor, get_results as method with with the Main.py will interact. Other methods with which the internal methods will interact are get_html,get_keywords, save_file and count_frequency."""
def __init__(self, ListOfUrl):
"""__init__ method takes L... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FetchTags:
"""FetchTags class has Constructor, get_results as method with with the Main.py will interact. Other methods with which the internal methods will interact are get_html,get_keywords, save_file and count_frequency."""
def __init__(self, ListOfUrl):
"""__init__ method takes ListOfUrl gene... | the_stack_v2_python_sparse | Python/Tags_Scraper/Fetch_Tags.py | HarshCasper/Rotten-Scripts | train | 1,474 |
1dfd602082d4f88c2330735a16a65a6c4b56680a | [
"self.index = index\nself.id = 'a' + unicode(index) + 'b' + idevice.id\nself.idevice = idevice\nself.option = option\nself.answerId = 'optionAnswer' + unicode(index) + 'b' + idevice.id\nself.keyId = 'optionKey' + idevice.id\nself.feedbackId = 'optionFeedback' + unicode(index) + 'b' + idevice.id",
"log.debug('proc... | <|body_start_0|>
self.index = index
self.id = 'a' + unicode(index) + 'b' + idevice.id
self.idevice = idevice
self.option = option
self.answerId = 'optionAnswer' + unicode(index) + 'b' + idevice.id
self.keyId = 'optionKey' + idevice.id
self.feedbackId = 'optionFeed... | OptionElement is responsible for a block of option. Used by MultichoiceBlock | OptionElement | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptionElement:
"""OptionElement is responsible for a block of option. Used by MultichoiceBlock"""
def __init__(self, index, idevice, option):
"""Initialize"""
<|body_0|>
def process(self, request):
"""Process arguments from the webserver. Return any which apply t... | stack_v2_sparse_classes_36k_train_013466 | 4,035 | no_license | [
{
"docstring": "Initialize",
"name": "__init__",
"signature": "def __init__(self, index, idevice, option)"
},
{
"docstring": "Process arguments from the webserver. Return any which apply to this element.",
"name": "process",
"signature": "def process(self, request)"
},
{
"docstri... | 5 | stack_v2_sparse_classes_30k_train_019060 | Implement the Python class `OptionElement` described below.
Class description:
OptionElement is responsible for a block of option. Used by MultichoiceBlock
Method signatures and docstrings:
- def __init__(self, index, idevice, option): Initialize
- def process(self, request): Process arguments from the webserver. Ret... | Implement the Python class `OptionElement` described below.
Class description:
OptionElement is responsible for a block of option. Used by MultichoiceBlock
Method signatures and docstrings:
- def __init__(self, index, idevice, option): Initialize
- def process(self, request): Process arguments from the webserver. Ret... | 1a99c1788f0eb9f1e5d8c2ced3892d00cd9449ad | <|skeleton|>
class OptionElement:
"""OptionElement is responsible for a block of option. Used by MultichoiceBlock"""
def __init__(self, index, idevice, option):
"""Initialize"""
<|body_0|>
def process(self, request):
"""Process arguments from the webserver. Return any which apply t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OptionElement:
"""OptionElement is responsible for a block of option. Used by MultichoiceBlock"""
def __init__(self, index, idevice, option):
"""Initialize"""
self.index = index
self.id = 'a' + unicode(index) + 'b' + idevice.id
self.idevice = idevice
self.option = ... | the_stack_v2_python_sparse | eXe/rev2283-2337/base-trunk-2283/exe/webui/optionelement.py | joliebig/featurehouse_fstmerge_examples | train | 3 |
9ee2298062fb0153b54bfb6f616e084551999668 | [
"if root == None:\n return True\nelse:\n return self.judge(root.left, root.right)",
"if left == None and right != None:\n return False\nelif left != None and right == None:\n return False\nelif left == None and right == None:\n return True\nelif left.val != right.val:\n return False\nelse:\n ... | <|body_start_0|>
if root == None:
return True
else:
return self.judge(root.left, root.right)
<|end_body_0|>
<|body_start_1|>
if left == None and right != None:
return False
elif left != None and right == None:
return False
elif lef... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def is_symmetric_1(self, root: TreeNode) -> bool:
"""递归法判断是不是镜像二叉树 分支法，看左子树和右子树是不是相等的 :param root: :return:"""
<|body_0|>
def judge(self, left, right):
"""递归法判断左右节点是否对称, 左节点的右孩子和右节点的左孩子是否相等 左节点的左孩子和右节点的右孩子是否想等 :param left: :param right: :return:"""
... | stack_v2_sparse_classes_36k_train_013467 | 3,606 | no_license | [
{
"docstring": "递归法判断是不是镜像二叉树 分支法，看左子树和右子树是不是相等的 :param root: :return:",
"name": "is_symmetric_1",
"signature": "def is_symmetric_1(self, root: TreeNode) -> bool"
},
{
"docstring": "递归法判断左右节点是否对称, 左节点的右孩子和右节点的左孩子是否相等 左节点的左孩子和右节点的右孩子是否想等 :param left: :param right: :return:",
"name": "judge",
... | 3 | stack_v2_sparse_classes_30k_train_006277 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def is_symmetric_1(self, root: TreeNode) -> bool: 递归法判断是不是镜像二叉树 分支法，看左子树和右子树是不是相等的 :param root: :return:
- def judge(self, left, right): 递归法判断左右节点是否对称, 左节点的右孩子和右节点的左孩子是否相等 左节点的左孩... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def is_symmetric_1(self, root: TreeNode) -> bool: 递归法判断是不是镜像二叉树 分支法，看左子树和右子树是不是相等的 :param root: :return:
- def judge(self, left, right): 递归法判断左右节点是否对称, 左节点的右孩子和右节点的左孩子是否相等 左节点的左孩... | f68e60dd1d8bb010cdae88e6273b3fac4ea48776 | <|skeleton|>
class Solution:
def is_symmetric_1(self, root: TreeNode) -> bool:
"""递归法判断是不是镜像二叉树 分支法，看左子树和右子树是不是相等的 :param root: :return:"""
<|body_0|>
def judge(self, left, right):
"""递归法判断左右节点是否对称, 左节点的右孩子和右节点的左孩子是否相等 左节点的左孩子和右节点的右孩子是否想等 :param left: :param right: :return:"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def is_symmetric_1(self, root: TreeNode) -> bool:
"""递归法判断是不是镜像二叉树 分支法，看左子树和右子树是不是相等的 :param root: :return:"""
if root == None:
return True
else:
return self.judge(root.left, root.right)
def judge(self, left, right):
"""递归法判断左右节点是否对称, 左节点的... | the_stack_v2_python_sparse | tree/101_isSymmetric.py | liying123456/python_leetcode | train | 0 | |
a212e9d3903531976da6f89480c480ba0efc3547 | [
"self.shape = shape\nself.x_mask = x_mask\nself.y_mask = y_mask",
"self.rectangle_mask = np.zeros(self.shape)\nself.rectangle_mask[:] = False\nself.rectangle_mask[self.x_mask[0]:self.x_mask[1], self.y_mask[0]:self.y_mask[1]] = True\nreturn self.rectangle_mask",
"if array.shape[:2] != self.shape[:2]:\n raise ... | <|body_start_0|>
self.shape = shape
self.x_mask = x_mask
self.y_mask = y_mask
<|end_body_0|>
<|body_start_1|>
self.rectangle_mask = np.zeros(self.shape)
self.rectangle_mask[:] = False
self.rectangle_mask[self.x_mask[0]:self.x_mask[1], self.y_mask[0]:self.y_mask[1]] = Tru... | Numpy array with rectangle mask to be applied on 2d or 3d array. | RectangleMask | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RectangleMask:
"""Numpy array with rectangle mask to be applied on 2d or 3d array."""
def __init__(self, shape: Tuple[int, int], x_mask: Tuple[int, int], y_mask: Tuple[int, int]):
""":param shape: (x_shape, y_shape) for the original array. :param x_mask: first and last indexes for th... | stack_v2_sparse_classes_36k_train_013468 | 3,143 | no_license | [
{
"docstring": ":param shape: (x_shape, y_shape) for the original array. :param x_mask: first and last indexes for the mask on the 0-axis. :param y_mask: first and last indexes for the mask on the 1-axis.",
"name": "__init__",
"signature": "def __init__(self, shape: Tuple[int, int], x_mask: Tuple[int, i... | 4 | stack_v2_sparse_classes_30k_train_000664 | Implement the Python class `RectangleMask` described below.
Class description:
Numpy array with rectangle mask to be applied on 2d or 3d array.
Method signatures and docstrings:
- def __init__(self, shape: Tuple[int, int], x_mask: Tuple[int, int], y_mask: Tuple[int, int]): :param shape: (x_shape, y_shape) for the ori... | Implement the Python class `RectangleMask` described below.
Class description:
Numpy array with rectangle mask to be applied on 2d or 3d array.
Method signatures and docstrings:
- def __init__(self, shape: Tuple[int, int], x_mask: Tuple[int, int], y_mask: Tuple[int, int]): :param shape: (x_shape, y_shape) for the ori... | 736ba8ecf1f4a1f8fe0ad46bdf964aff34238abe | <|skeleton|>
class RectangleMask:
"""Numpy array with rectangle mask to be applied on 2d or 3d array."""
def __init__(self, shape: Tuple[int, int], x_mask: Tuple[int, int], y_mask: Tuple[int, int]):
""":param shape: (x_shape, y_shape) for the original array. :param x_mask: first and last indexes for th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RectangleMask:
"""Numpy array with rectangle mask to be applied on 2d or 3d array."""
def __init__(self, shape: Tuple[int, int], x_mask: Tuple[int, int], y_mask: Tuple[int, int]):
""":param shape: (x_shape, y_shape) for the original array. :param x_mask: first and last indexes for the mask on the... | the_stack_v2_python_sparse | src/hyperpy/spectral/cube_crop.py | antoinelaborde/hyperpy | train | 2 |
780318bf4f708eff41a10b38dd6db318e318e7d5 | [
"super().__init__(test_case, name=name, subdir=subdir, cpus_per_task=None, min_cpus_per_task=None)\nself.base_mesh_step = base_mesh_step\nself.remap_topography = remap_topography\nfor file in ['culled_mesh.nc', 'culled_graph.info', 'critical_passages_mask_final.nc']:\n self.add_output_file(filename=file)\nif wit... | <|body_start_0|>
super().__init__(test_case, name=name, subdir=subdir, cpus_per_task=None, min_cpus_per_task=None)
self.base_mesh_step = base_mesh_step
self.remap_topography = remap_topography
for file in ['culled_mesh.nc', 'culled_graph.info', 'critical_passages_mask_final.nc']:
... | A step for culling a global MPAS-Ocean mesh Attributes ---------- base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh includes ice-shelf cavities do_inject_bathymetry : bool Whether to interpolate bathymetry fro... | CullMeshStep | [
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CullMeshStep:
"""A step for culling a global MPAS-Ocean mesh Attributes ---------- base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh includes ice-shelf cavities do_inject_bathymetry : bo... | stack_v2_sparse_classes_36k_train_013469 | 20,987 | permissive | [
{
"docstring": "Create a new step Parameters ---------- test_case : compass.ocean.tests.global_ocean.mesh.Mesh The test case this step belongs to base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh inclu... | 4 | stack_v2_sparse_classes_30k_train_018714 | Implement the Python class `CullMeshStep` described below.
Class description:
A step for culling a global MPAS-Ocean mesh Attributes ---------- base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh includes ice-s... | Implement the Python class `CullMeshStep` described below.
Class description:
A step for culling a global MPAS-Ocean mesh Attributes ---------- base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh includes ice-s... | 0b7440f0aa77c1ae052922a39e646bd35c267661 | <|skeleton|>
class CullMeshStep:
"""A step for culling a global MPAS-Ocean mesh Attributes ---------- base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh includes ice-shelf cavities do_inject_bathymetry : bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CullMeshStep:
"""A step for culling a global MPAS-Ocean mesh Attributes ---------- base_mesh_step : compass.mesh.spherical.SphericalBaseStep The base mesh step containing input files to this step with_ice_shelf_cavities : bool Whether the mesh includes ice-shelf cavities do_inject_bathymetry : bool Whether to... | the_stack_v2_python_sparse | compass/ocean/mesh/cull.py | MPAS-Dev/compass | train | 10 |
dd505beeab289a88129187e103c67ad510c5a85f | [
"if path is None:\n outpath = os.path.dirname(os.path.abspath(configfile))\nelse:\n outpath = path\nself.config = Configuration(configfile, outpath=path)\nself.pixel = pixel\nself.nside = nside",
"if not self.config.galfile_pixelized:\n raise ValueError('Code only runs with pixelized galfile.')\nself.con... | <|body_start_0|>
if path is None:
outpath = os.path.dirname(os.path.abspath(configfile))
else:
outpath = path
self.config = Configuration(configfile, outpath=path)
self.pixel = pixel
self.nside = nside
<|end_body_0|>
<|body_start_1|>
if not self.c... | Class to run redmapper zmask randoms on a single healpix pixel, for distributed runs. | RunZmaskPixelTask | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunZmaskPixelTask:
"""Class to run redmapper zmask randoms on a single healpix pixel, for distributed runs."""
def __init__(self, configfile, pixel, nside, path=None):
"""Instantiate a RunZmaskPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `int... | stack_v2_sparse_classes_36k_train_013470 | 10,033 | permissive | [
{
"docstring": "Instantiate a RunZmaskPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `int` Healpix pixel to run on. nside: `int` Healpix nside associated with pixel. path: `str`, optional Output path. Default is None, use same absolute path as configfile.",
"name": "_... | 2 | stack_v2_sparse_classes_30k_train_007544 | Implement the Python class `RunZmaskPixelTask` described below.
Class description:
Class to run redmapper zmask randoms on a single healpix pixel, for distributed runs.
Method signatures and docstrings:
- def __init__(self, configfile, pixel, nside, path=None): Instantiate a RunZmaskPixelTask. Parameters ---------- c... | Implement the Python class `RunZmaskPixelTask` described below.
Class description:
Class to run redmapper zmask randoms on a single healpix pixel, for distributed runs.
Method signatures and docstrings:
- def __init__(self, configfile, pixel, nside, path=None): Instantiate a RunZmaskPixelTask. Parameters ---------- c... | d3a8b432c2f3a20aa518a7781c0f2aa315624855 | <|skeleton|>
class RunZmaskPixelTask:
"""Class to run redmapper zmask randoms on a single healpix pixel, for distributed runs."""
def __init__(self, configfile, pixel, nside, path=None):
"""Instantiate a RunZmaskPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `int... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RunZmaskPixelTask:
"""Class to run redmapper zmask randoms on a single healpix pixel, for distributed runs."""
def __init__(self, configfile, pixel, nside, path=None):
"""Instantiate a RunZmaskPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `int` Healpix pix... | the_stack_v2_python_sparse | redmapper/pipeline/redmappertask.py | erykoff/redmapper | train | 20 |
30d39e75f433bee9d07207d1847c4ffd06b27a40 | [
"self._waveforms = waveforms\nself._frames = frames\nself.channel = channel\nself._init_phase = 0.0\nself._init_frequency = 0.0\nself._dt = 0.0",
"waveforms = {}\nframes = defaultdict(list)\nfor t0, inst in program.filter(channels=[channel]).instructions:\n if isinstance(inst, cls._waveform_group):\n if... | <|body_start_0|>
self._waveforms = waveforms
self._frames = frames
self.channel = channel
self._init_phase = 0.0
self._init_frequency = 0.0
self._dt = 0.0
<|end_body_0|>
<|body_start_1|>
waveforms = {}
frames = defaultdict(list)
for t0, inst in pr... | Channel event manager. | ChannelEvents | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChannelEvents:
"""Channel event manager."""
def __init__(self, waveforms: dict[int, pulse.Instruction], frames: dict[int, list[pulse.Instruction]], channel: pulse.channels.Channel):
"""Create new event manager. Args: waveforms: List of waveforms shown in this channel. frames: List of... | stack_v2_sparse_classes_36k_train_013471 | 10,390 | permissive | [
{
"docstring": "Create new event manager. Args: waveforms: List of waveforms shown in this channel. frames: List of frame change type instructions shown in this channel. channel: Channel object associated with this manager.",
"name": "__init__",
"signature": "def __init__(self, waveforms: dict[int, puls... | 6 | null | Implement the Python class `ChannelEvents` described below.
Class description:
Channel event manager.
Method signatures and docstrings:
- def __init__(self, waveforms: dict[int, pulse.Instruction], frames: dict[int, list[pulse.Instruction]], channel: pulse.channels.Channel): Create new event manager. Args: waveforms:... | Implement the Python class `ChannelEvents` described below.
Class description:
Channel event manager.
Method signatures and docstrings:
- def __init__(self, waveforms: dict[int, pulse.Instruction], frames: dict[int, list[pulse.Instruction]], channel: pulse.channels.Channel): Create new event manager. Args: waveforms:... | 0b51250e219ca303654fc28a318c21366584ccd3 | <|skeleton|>
class ChannelEvents:
"""Channel event manager."""
def __init__(self, waveforms: dict[int, pulse.Instruction], frames: dict[int, list[pulse.Instruction]], channel: pulse.channels.Channel):
"""Create new event manager. Args: waveforms: List of waveforms shown in this channel. frames: List of... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ChannelEvents:
"""Channel event manager."""
def __init__(self, waveforms: dict[int, pulse.Instruction], frames: dict[int, list[pulse.Instruction]], channel: pulse.channels.Channel):
"""Create new event manager. Args: waveforms: List of waveforms shown in this channel. frames: List of frame change... | the_stack_v2_python_sparse | qiskit/visualization/pulse_v2/events.py | 1ucian0/qiskit-terra | train | 6 |
563d9bedf699301391bf3ecffa8b7cfb0bf4194b | [
"if not tf.__internal__.tf2.enabled():\n self.skipTest('pickle model only available in v2 when tf format is used.')\nmodel = test_utils.get_small_mlp(num_hidden=1, num_classes=2, input_dim=3)\nmodel.compile(optimizer='sgd', loss='sparse_categorical_crossentropy')\nx = np.random.random(size=(10, 3))\ny = np.rando... | <|body_start_0|>
if not tf.__internal__.tf2.enabled():
self.skipTest('pickle model only available in v2 when tf format is used.')
model = test_utils.get_small_mlp(num_hidden=1, num_classes=2, input_dim=3)
model.compile(optimizer='sgd', loss='sparse_categorical_crossentropy')
... | Tests pickle protocol support. | TestPickleProtocol | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPickleProtocol:
"""Tests pickle protocol support."""
def test_built_models(self, serializer):
"""Built models should be copyable and pickleable for all model types."""
<|body_0|>
def test_unbuilt_models(self, serializer):
"""Unbuilt models should be copyable ... | stack_v2_sparse_classes_36k_train_013472 | 3,574 | permissive | [
{
"docstring": "Built models should be copyable and pickleable for all model types.",
"name": "test_built_models",
"signature": "def test_built_models(self, serializer)"
},
{
"docstring": "Unbuilt models should be copyable & deepcopyable for all model types.",
"name": "test_unbuilt_models",
... | 2 | stack_v2_sparse_classes_30k_train_016324 | Implement the Python class `TestPickleProtocol` described below.
Class description:
Tests pickle protocol support.
Method signatures and docstrings:
- def test_built_models(self, serializer): Built models should be copyable and pickleable for all model types.
- def test_unbuilt_models(self, serializer): Unbuilt model... | Implement the Python class `TestPickleProtocol` described below.
Class description:
Tests pickle protocol support.
Method signatures and docstrings:
- def test_built_models(self, serializer): Built models should be copyable and pickleable for all model types.
- def test_unbuilt_models(self, serializer): Unbuilt model... | 8d5e9b2163ec9b7d9f70920d1c7992b6df6820ec | <|skeleton|>
class TestPickleProtocol:
"""Tests pickle protocol support."""
def test_built_models(self, serializer):
"""Built models should be copyable and pickleable for all model types."""
<|body_0|>
def test_unbuilt_models(self, serializer):
"""Unbuilt models should be copyable ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestPickleProtocol:
"""Tests pickle protocol support."""
def test_built_models(self, serializer):
"""Built models should be copyable and pickleable for all model types."""
if not tf.__internal__.tf2.enabled():
self.skipTest('pickle model only available in v2 when tf format is ... | the_stack_v2_python_sparse | keras/saving/pickle_utils_test.py | xiaoheilong3112/keras | train | 1 |
d56b20c9c038f2a636de9aee5cc0d98868d217e3 | [
"super(FunctionComponent, self).__init__(opts)\nself.fn_options = opts.get(PACKAGE_NAME, {})\nself.opts = opts\nvalidate_fields(config.REQUIRED_CONFIG_SETTINGS, self.fn_options)",
"self.fn_options = opts.get(PACKAGE_NAME, {})\nself.opts = opts\nvalidate_fields(config.REQUIRED_CONFIG_SETTINGS, self.fn_options)",
... | <|body_start_0|>
super(FunctionComponent, self).__init__(opts)
self.fn_options = opts.get(PACKAGE_NAME, {})
self.opts = opts
validate_fields(config.REQUIRED_CONFIG_SETTINGS, self.fn_options)
<|end_body_0|>
<|body_start_1|>
self.fn_options = opts.get(PACKAGE_NAME, {})
sel... | Component that implements Resilient function 'funct_zia_remove_from_url_category'' | FunctionComponent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'funct_zia_remove_from_url_category''"""
def __init__(self, opts):
"""Constructor provides access to the configuration options"""
<|body_0|>
def _reload(self, event, opts):
"""Configuration option... | stack_v2_sparse_classes_36k_train_013473 | 3,635 | permissive | [
{
"docstring": "Constructor provides access to the configuration options",
"name": "__init__",
"signature": "def __init__(self, opts)"
},
{
"docstring": "Configuration options have changed, save new values",
"name": "_reload",
"signature": "def _reload(self, event, opts)"
},
{
"d... | 3 | null | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'funct_zia_remove_from_url_category''
Method signatures and docstrings:
- def __init__(self, opts): Constructor provides access to the configuration options
- def _reload(self, event, opts):... | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'funct_zia_remove_from_url_category''
Method signatures and docstrings:
- def __init__(self, opts): Constructor provides access to the configuration options
- def _reload(self, event, opts):... | 6878c78b94eeca407998a41ce8db2cc00f2b6758 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'funct_zia_remove_from_url_category''"""
def __init__(self, opts):
"""Constructor provides access to the configuration options"""
<|body_0|>
def _reload(self, event, opts):
"""Configuration option... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FunctionComponent:
"""Component that implements Resilient function 'funct_zia_remove_from_url_category''"""
def __init__(self, opts):
"""Constructor provides access to the configuration options"""
super(FunctionComponent, self).__init__(opts)
self.fn_options = opts.get(PACKAGE_NAM... | the_stack_v2_python_sparse | fn_zia/fn_zia/components/funct_zia_remove_from_url_category.py | ibmresilient/resilient-community-apps | train | 81 |
1404d761efab744c4f0a44dacc0f55e9ff39dd05 | [
"if kwargs.get('units', None):\n kwargs['units'] = UNITS[kwargs['units']]\nsuper(IPerfParser, self).__init__(*args, **kwargs)\nself.format = iperfexpressions.ParserKeys.human",
"results = []\nfor line in output.splitlines():\n match = self.search(line)\n if match:\n start = float(match[iperfexpres... | <|body_start_0|>
if kwargs.get('units', None):
kwargs['units'] = UNITS[kwargs['units']]
super(IPerfParser, self).__init__(*args, **kwargs)
self.format = iperfexpressions.ParserKeys.human
<|end_body_0|>
<|body_start_1|>
results = []
for line in output.splitlines():
... | Class for parsing Iperf output. | IPerfParser | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IPerfParser:
"""Class for parsing Iperf output."""
def __init__(self, *args, **kwargs):
"""Initialize IPerfParser class."""
<|body_0|>
def parse(self, output):
"""Parse output from iperf execution. Args: output(str): iperf output Returns: list: list of parsed ipe... | stack_v2_sparse_classes_36k_train_013474 | 4,769 | permissive | [
{
"docstring": "Initialize IPerfParser class.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Parse output from iperf execution. Args: output(str): iperf output Returns: list: list of parsed iperf results",
"name": "parse",
"signature": "def pa... | 2 | stack_v2_sparse_classes_30k_train_009128 | Implement the Python class `IPerfParser` described below.
Class description:
Class for parsing Iperf output.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize IPerfParser class.
- def parse(self, output): Parse output from iperf execution. Args: output(str): iperf output Returns: lis... | Implement the Python class `IPerfParser` described below.
Class description:
Class for parsing Iperf output.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize IPerfParser class.
- def parse(self, output): Parse output from iperf execution. Args: output(str): iperf output Returns: lis... | 2007bf3fe66edfe704e485141c55caed54fe13aa | <|skeleton|>
class IPerfParser:
"""Class for parsing Iperf output."""
def __init__(self, *args, **kwargs):
"""Initialize IPerfParser class."""
<|body_0|>
def parse(self, output):
"""Parse output from iperf execution. Args: output(str): iperf output Returns: list: list of parsed ipe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IPerfParser:
"""Class for parsing Iperf output."""
def __init__(self, *args, **kwargs):
"""Initialize IPerfParser class."""
if kwargs.get('units', None):
kwargs['units'] = UNITS[kwargs['units']]
super(IPerfParser, self).__init__(*args, **kwargs)
self.format = i... | the_stack_v2_python_sparse | taf/testlib/linux/iperf/iperf.py | AndriyZabavskyy/taf | train | 0 |
50ac5890660c3d5867a039f35a2cc576188302d8 | [
"data = data.get('parent', {}).get('review')\nif data is not None:\n self.service.review.create(identity, data, record, uow=self.uow)",
"review = draft.parent.review\nif review is None:\n return\nif review.is_open:\n raise ReviewStateError(_('You cannot delete a draft with an open review. Please cancel t... | <|body_start_0|>
data = data.get('parent', {}).get('review')
if data is not None:
self.service.review.create(identity, data, record, uow=self.uow)
<|end_body_0|>
<|body_start_1|>
review = draft.parent.review
if review is None:
return
if review.is_open:
... | Service component for request integration. | ReviewComponent | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReviewComponent:
"""Service component for request integration."""
def create(self, identity, data=None, record=None, **kwargs):
"""Create the review if requested."""
<|body_0|>
def delete_draft(self, identity, draft=None, record=None, force=False):
"""Delete a dr... | stack_v2_sparse_classes_36k_train_013475 | 2,074 | permissive | [
{
"docstring": "Create the review if requested.",
"name": "create",
"signature": "def create(self, identity, data=None, record=None, **kwargs)"
},
{
"docstring": "Delete a draft.",
"name": "delete_draft",
"signature": "def delete_draft(self, identity, draft=None, record=None, force=False... | 3 | stack_v2_sparse_classes_30k_train_006649 | Implement the Python class `ReviewComponent` described below.
Class description:
Service component for request integration.
Method signatures and docstrings:
- def create(self, identity, data=None, record=None, **kwargs): Create the review if requested.
- def delete_draft(self, identity, draft=None, record=None, forc... | Implement the Python class `ReviewComponent` described below.
Class description:
Service component for request integration.
Method signatures and docstrings:
- def create(self, identity, data=None, record=None, **kwargs): Create the review if requested.
- def delete_draft(self, identity, draft=None, record=None, forc... | b4bcc2e16df6048149177a6e1ebd514bdb6b0626 | <|skeleton|>
class ReviewComponent:
"""Service component for request integration."""
def create(self, identity, data=None, record=None, **kwargs):
"""Create the review if requested."""
<|body_0|>
def delete_draft(self, identity, draft=None, record=None, force=False):
"""Delete a dr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReviewComponent:
"""Service component for request integration."""
def create(self, identity, data=None, record=None, **kwargs):
"""Create the review if requested."""
data = data.get('parent', {}).get('review')
if data is not None:
self.service.review.create(identity, d... | the_stack_v2_python_sparse | invenio_rdm_records/services/components/review.py | ppanero/invenio-rdm-records | train | 0 |
a4b960ff4bfecd2df654888732ac301dca842b76 | [
"ds, metadata = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)\nself.metadata = metadata\nself.data_train = ds['train']\nself.data_valid = ds['validation']\ntokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)\nself.tokenizer_pt = tokenizer_pt\nself.tokenizer_en = tokeni... | <|body_start_0|>
ds, metadata = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)
self.metadata = metadata
self.data_train = ds['train']
self.data_valid = ds['validation']
tokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)
self.... | Loads and preps a dataset for machine translation | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""Loads and preps a dataset for machine translation"""
def __init__(self, batch_size, max_len):
"""Constructor"""
<|body_0|>
def tokenize_dataset(self, data):
"""Function that creates sub-word tokenizers for our dataset"""
<|body_1|>
def en... | stack_v2_sparse_classes_36k_train_013476 | 3,060 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, batch_size, max_len)"
},
{
"docstring": "Function that creates sub-word tokenizers for our dataset",
"name": "tokenize_dataset",
"signature": "def tokenize_dataset(self, data)"
},
{
"docstring": "M... | 4 | stack_v2_sparse_classes_30k_val_000989 | Implement the Python class `Dataset` described below.
Class description:
Loads and preps a dataset for machine translation
Method signatures and docstrings:
- def __init__(self, batch_size, max_len): Constructor
- def tokenize_dataset(self, data): Function that creates sub-word tokenizers for our dataset
- def encode... | Implement the Python class `Dataset` described below.
Class description:
Loads and preps a dataset for machine translation
Method signatures and docstrings:
- def __init__(self, batch_size, max_len): Constructor
- def tokenize_dataset(self, data): Function that creates sub-word tokenizers for our dataset
- def encode... | c7b6ea4c37b7c5dc41e63cdb8142b3cdfb3e1d23 | <|skeleton|>
class Dataset:
"""Loads and preps a dataset for machine translation"""
def __init__(self, batch_size, max_len):
"""Constructor"""
<|body_0|>
def tokenize_dataset(self, data):
"""Function that creates sub-word tokenizers for our dataset"""
<|body_1|>
def en... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Dataset:
"""Loads and preps a dataset for machine translation"""
def __init__(self, batch_size, max_len):
"""Constructor"""
ds, metadata = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)
self.metadata = metadata
self.data_train = ds['train']
... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/3-dataset.py | linkjavier/holbertonschool-machine_learning | train | 0 |
2d68b016ac3b57dfdb06067f6e25d351a4ad9c6b | [
"rb_params = params\nparam_units = {k: unit.kJ / unit.mol for k in rb_params}\nreturn _copy_params(rb_params, param_units=param_units)",
"for proper in topology.propers:\n atom_indices = tuple((topology.atom_index(atom) for atom in proper))\n top_key = TopologyKey(atom_indices=atom_indices)\n pot_key_ids... | <|body_start_0|>
rb_params = params
param_units = {k: unit.kJ / unit.mol for k in rb_params}
return _copy_params(rb_params, param_units=param_units)
<|end_body_0|>
<|body_start_1|>
for proper in topology.propers:
atom_indices = tuple((topology.atom_index(atom) for atom in pr... | Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field. | FoyerRBProperHandler | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FoyerRBProperHandler:
"""Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field."""
def get_params_with_units(self, params):
"""Get the parameters of this handler, tagged with units."""
<|body_0|>
def store_matches(self, atom_slot... | stack_v2_sparse_classes_36k_train_013477 | 6,006 | permissive | [
{
"docstring": "Get the parameters of this handler, tagged with units.",
"name": "get_params_with_units",
"signature": "def get_params_with_units(self, params)"
},
{
"docstring": "Populate self.key_map with key-val pairs of [TopologyKey, PotentialKey].",
"name": "store_matches",
"signatu... | 2 | null | Implement the Python class `FoyerRBProperHandler` described below.
Class description:
Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field.
Method signatures and docstrings:
- def get_params_with_units(self, params): Get the parameters of this handler, tagged with units.
- d... | Implement the Python class `FoyerRBProperHandler` described below.
Class description:
Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field.
Method signatures and docstrings:
- def get_params_with_units(self, params): Get the parameters of this handler, tagged with units.
- d... | 4616f2cff477c18e2c6ca70ac4c74c28b283a4be | <|skeleton|>
class FoyerRBProperHandler:
"""Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field."""
def get_params_with_units(self, params):
"""Get the parameters of this handler, tagged with units."""
<|body_0|>
def store_matches(self, atom_slot... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FoyerRBProperHandler:
"""Handler storing Ryckaert-Bellemans proper torsion potentials as produced by a Foyer force field."""
def get_params_with_units(self, params):
"""Get the parameters of this handler, tagged with units."""
rb_params = params
param_units = {k: unit.kJ / unit.mo... | the_stack_v2_python_sparse | openff/interchange/foyer/_valence.py | openforcefield/openff-interchange | train | 39 |
c6992478c7dcc7b645135dcf7ed4c1e77f31f589 | [
"if not head:\n return head\nlast = None\nwhile head.next:\n later = head.next\n head.next = last\n last = head\n head = later\nhead.next = last\nreturn head\nprev = None\nwhile head:\n cur = head\n head = head.next\n cur.next = prev\n prev = cur\nreturn prev",
"if not head:\n return... | <|body_start_0|>
if not head:
return head
last = None
while head.next:
later = head.next
head.next = last
last = head
head = later
head.next = last
return head
prev = None
while head:
cur = he... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseList2(self, head, last=None):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head:
... | stack_v2_sparse_classes_36k_train_013478 | 1,595 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList",
"signature": "def reverseList(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList2",
"signature": "def reverseList2(self, head, last=None)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): :type head: ListNode :rtype: ListNode
- def reverseList2(self, head, last=None): :type head: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): :type head: ListNode :rtype: ListNode
- def reverseList2(self, head, last=None): :type head: ListNode :rtype: ListNode
<|skeleton|>
class Solution:
... | b4dccd3d1c59aa1e92f10ed5c4f7a3e1d08897d8 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseList2(self, head, last=None):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
if not head:
return head
last = None
while head.next:
later = head.next
head.next = last
last = head
head = later
head.next = l... | the_stack_v2_python_sparse | ReverseLinkedList.py | janewjy/Leetcode | train | 1 | |
4618037b377dd3e668621132eaa33124aec08071 | [
"self.id = id\nself.name = name\nself.mtype = mtype\nself.usage_bytes = usage_bytes",
"if dictionary is None:\n return None\nid = dictionary.get('id')\nname = dictionary.get('name')\nmtype = dictionary.get('type')\nusage_bytes = dictionary.get('usageBytes')\nreturn cls(id, name, mtype, usage_bytes)"
] | <|body_start_0|>
self.id = id
self.name = name
self.mtype = mtype
self.usage_bytes = usage_bytes
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
id = dictionary.get('id')
name = dictionary.get('name')
mtype = dictionary.get(... | Implementation of the 'VaultStatsInfo' model. Specifies the stats for each vault. Attributes: id (long|int): Specifies the Vault Id. name (string): Specifies the Vault name. mtype (TypeVaultStatsInfoEnum): Specifies the Vault type. usage_bytes (long|int): Specifies the bytes used by the Vault. | VaultStatsInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VaultStatsInfo:
"""Implementation of the 'VaultStatsInfo' model. Specifies the stats for each vault. Attributes: id (long|int): Specifies the Vault Id. name (string): Specifies the Vault name. mtype (TypeVaultStatsInfoEnum): Specifies the Vault type. usage_bytes (long|int): Specifies the bytes us... | stack_v2_sparse_classes_36k_train_013479 | 1,885 | permissive | [
{
"docstring": "Constructor for the VaultStatsInfo class",
"name": "__init__",
"signature": "def __init__(self, id=None, name=None, mtype=None, usage_bytes=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of ... | 2 | stack_v2_sparse_classes_30k_train_000229 | Implement the Python class `VaultStatsInfo` described below.
Class description:
Implementation of the 'VaultStatsInfo' model. Specifies the stats for each vault. Attributes: id (long|int): Specifies the Vault Id. name (string): Specifies the Vault name. mtype (TypeVaultStatsInfoEnum): Specifies the Vault type. usage_b... | Implement the Python class `VaultStatsInfo` described below.
Class description:
Implementation of the 'VaultStatsInfo' model. Specifies the stats for each vault. Attributes: id (long|int): Specifies the Vault Id. name (string): Specifies the Vault name. mtype (TypeVaultStatsInfoEnum): Specifies the Vault type. usage_b... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class VaultStatsInfo:
"""Implementation of the 'VaultStatsInfo' model. Specifies the stats for each vault. Attributes: id (long|int): Specifies the Vault Id. name (string): Specifies the Vault name. mtype (TypeVaultStatsInfoEnum): Specifies the Vault type. usage_bytes (long|int): Specifies the bytes us... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VaultStatsInfo:
"""Implementation of the 'VaultStatsInfo' model. Specifies the stats for each vault. Attributes: id (long|int): Specifies the Vault Id. name (string): Specifies the Vault name. mtype (TypeVaultStatsInfoEnum): Specifies the Vault type. usage_bytes (long|int): Specifies the bytes used by the Vau... | the_stack_v2_python_sparse | cohesity_management_sdk/models/vault_stats_info.py | cohesity/management-sdk-python | train | 24 |
8bd52e34a3e6fab768cdacbefb4e47142321352c | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Interface exported by the server. | InferenceCoordinatorServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InferenceCoordinatorServicer:
"""Interface exported by the server."""
def DeploySpire(self, request, context):
"""Deploy a Spire"""
<|body_0|>
def DeleteSpire(self, request, context):
"""Delete a Spire"""
<|body_1|>
def GetSpireDeployStatus(self, req... | stack_v2_sparse_classes_36k_train_013480 | 8,159 | no_license | [
{
"docstring": "Deploy a Spire",
"name": "DeploySpire",
"signature": "def DeploySpire(self, request, context)"
},
{
"docstring": "Delete a Spire",
"name": "DeleteSpire",
"signature": "def DeleteSpire(self, request, context)"
},
{
"docstring": "Check whether a spire is running",
... | 4 | stack_v2_sparse_classes_30k_train_007976 | Implement the Python class `InferenceCoordinatorServicer` described below.
Class description:
Interface exported by the server.
Method signatures and docstrings:
- def DeploySpire(self, request, context): Deploy a Spire
- def DeleteSpire(self, request, context): Delete a Spire
- def GetSpireDeployStatus(self, request... | Implement the Python class `InferenceCoordinatorServicer` described below.
Class description:
Interface exported by the server.
Method signatures and docstrings:
- def DeploySpire(self, request, context): Deploy a Spire
- def DeleteSpire(self, request, context): Delete a Spire
- def GetSpireDeployStatus(self, request... | 49dc92036e71ca758cc35e8851a803b89d76ef52 | <|skeleton|>
class InferenceCoordinatorServicer:
"""Interface exported by the server."""
def DeploySpire(self, request, context):
"""Deploy a Spire"""
<|body_0|>
def DeleteSpire(self, request, context):
"""Delete a Spire"""
<|body_1|>
def GetSpireDeployStatus(self, req... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InferenceCoordinatorServicer:
"""Interface exported by the server."""
def DeploySpire(self, request, context):
"""Deploy a Spire"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemen... | the_stack_v2_python_sparse | proto/inference_coordinator/inference_coordinator_pb2_grpc.py | selwynClarifai/video-manager | train | 2 |
e6b54d56cb98332c4cfd9b142d19984444f38b75 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | UserAppServiceServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserAppServiceServicer:
"""Missing associated documentation comment in .proto file."""
def user_by_email_and_password(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def user_by_id(self, request, context):
"""Mis... | stack_v2_sparse_classes_36k_train_013481 | 10,079 | no_license | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "user_by_email_and_password",
"signature": "def user_by_email_and_password(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "user_by_id",
"sign... | 5 | null | Implement the Python class `UserAppServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def user_by_email_and_password(self, request, context): Missing associated documentation comment in .proto file.
- def user_by_id(self, r... | Implement the Python class `UserAppServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def user_by_email_and_password(self, request, context): Missing associated documentation comment in .proto file.
- def user_by_id(self, r... | 55d36c068e26e13ee5bae5c033e2e17784c63feb | <|skeleton|>
class UserAppServiceServicer:
"""Missing associated documentation comment in .proto file."""
def user_by_email_and_password(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def user_by_id(self, request, context):
"""Mis... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserAppServiceServicer:
"""Missing associated documentation comment in .proto file."""
def user_by_email_and_password(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method... | the_stack_v2_python_sparse | src/resource/proto/_generated/identity/user_app_service_pb2_grpc.py | arkanmgerges/cafm.identity | train | 0 |
4b612ccddcca123d374e51540159ac2215f18f3c | [
"user = User.query.get(id)\nif not user:\n api.abort(code=404, message='User not found')\nreturn {'data': user.__jsonapi__()}",
"current_identity = import_user()\nuser = User.query.get(id)\nif not user:\n api.abort(code=404, message='User not found')\ndata = request.get_json()['data']\nif 'name' in data['at... | <|body_start_0|>
user = User.query.get(id)
if not user:
api.abort(code=404, message='User not found')
return {'data': user.__jsonapi__()}
<|end_body_0|>
<|body_start_1|>
current_identity = import_user()
user = User.query.get(id)
if not user:
api.a... | Users | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Users:
def get(self, id):
"""Get user"""
<|body_0|>
def put(self, id):
"""Update user"""
<|body_1|>
def delete(self, id):
"""Delete user"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
user = User.query.get(id)
if not us... | stack_v2_sparse_classes_36k_train_013482 | 46,738 | permissive | [
{
"docstring": "Get user",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Update user",
"name": "put",
"signature": "def put(self, id)"
},
{
"docstring": "Delete user",
"name": "delete",
"signature": "def delete(self, id)"
}
] | 3 | stack_v2_sparse_classes_30k_train_013944 | Implement the Python class `Users` described below.
Class description:
Implement the Users class.
Method signatures and docstrings:
- def get(self, id): Get user
- def put(self, id): Update user
- def delete(self, id): Delete user | Implement the Python class `Users` described below.
Class description:
Implement the Users class.
Method signatures and docstrings:
- def get(self, id): Get user
- def put(self, id): Update user
- def delete(self, id): Delete user
<|skeleton|>
class Users:
def get(self, id):
"""Get user"""
<|bod... | 3439a2dd0bd527c5d604801fec3a5aac904a72e2 | <|skeleton|>
class Users:
def get(self, id):
"""Get user"""
<|body_0|>
def put(self, id):
"""Update user"""
<|body_1|>
def delete(self, id):
"""Delete user"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Users:
def get(self, id):
"""Get user"""
user = User.query.get(id)
if not user:
api.abort(code=404, message='User not found')
return {'data': user.__jsonapi__()}
def put(self, id):
"""Update user"""
current_identity = import_user()
user ... | the_stack_v2_python_sparse | app/views.py | taidos/lxc-rest | train | 0 | |
ab65bfbcf2129a3ff14e88aa17de1fe1bafc18dd | [
"self.u1 = UserBase.objects.create(email='testuser1@example.com', is_email_verified=True)\nself.u2 = UserBase.objects.create(email='testuser2@example.com', is_email_verified=True)\nu3 = UserBase.objects.create(email='testuser3@example.com', is_email_verified=True)\nu4 = UserBase.objects.create(email='testuser4@exam... | <|body_start_0|>
self.u1 = UserBase.objects.create(email='testuser1@example.com', is_email_verified=True)
self.u2 = UserBase.objects.create(email='testuser2@example.com', is_email_verified=True)
u3 = UserBase.objects.create(email='testuser3@example.com', is_email_verified=True)
u4 = User... | Test case for Daily Expert Stats. | TestDailyExpertStats | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDailyExpertStats:
"""Test case for Daily Expert Stats."""
def setUp(self):
"""SetUp method for test case"""
<|body_0|>
def test_calculate_daily_expert_stats_user_one_first_time(self):
"""test case for testing Daily Expert Stats"""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_36k_train_013483 | 3,088 | no_license | [
{
"docstring": "SetUp method for test case",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "test case for testing Daily Expert Stats",
"name": "test_calculate_daily_expert_stats_user_one_first_time",
"signature": "def test_calculate_daily_expert_stats_user_one_first_t... | 2 | null | Implement the Python class `TestDailyExpertStats` described below.
Class description:
Test case for Daily Expert Stats.
Method signatures and docstrings:
- def setUp(self): SetUp method for test case
- def test_calculate_daily_expert_stats_user_one_first_time(self): test case for testing Daily Expert Stats | Implement the Python class `TestDailyExpertStats` described below.
Class description:
Test case for Daily Expert Stats.
Method signatures and docstrings:
- def setUp(self): SetUp method for test case
- def test_calculate_daily_expert_stats_user_one_first_time(self): test case for testing Daily Expert Stats
<|skeleto... | 248a7b406686c0c98e944319a6eca08485104f5d | <|skeleton|>
class TestDailyExpertStats:
"""Test case for Daily Expert Stats."""
def setUp(self):
"""SetUp method for test case"""
<|body_0|>
def test_calculate_daily_expert_stats_user_one_first_time(self):
"""test case for testing Daily Expert Stats"""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestDailyExpertStats:
"""Test case for Daily Expert Stats."""
def setUp(self):
"""SetUp method for test case"""
self.u1 = UserBase.objects.create(email='testuser1@example.com', is_email_verified=True)
self.u2 = UserBase.objects.create(email='testuser2@example.com', is_email_verifi... | the_stack_v2_python_sparse | search/search/tests.py | skshivammahajan/DRFChat | train | 0 |
b16e368f96ab7863c17f4261075868ea99707fc9 | [
"length = len(s)\nif not s or length == 1 or length == 0:\n return s\nfor i in range(length, 0, -1):\n n = 0\n while n + i <= length:\n sub_str = s[n:n + i]\n sub_str_re = sub_str[::-1]\n if sub_str_re == sub_str:\n return sub_str\n n += 1",
"length = len(s)\ndp = [... | <|body_start_0|>
length = len(s)
if not s or length == 1 or length == 0:
return s
for i in range(length, 0, -1):
n = 0
while n + i <= length:
sub_str = s[n:n + i]
sub_str_re = sub_str[::-1]
if sub_str_re == sub_s... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def longestPalindrome1(self, s):
""":type s: str :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
length = len(s)
if not s or length == 1 or lengt... | stack_v2_sparse_classes_36k_train_013484 | 1,568 | no_license | [
{
"docstring": ":type s: str :rtype: str",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self, s)"
},
{
"docstring": ":type s: str :rtype: str",
"name": "longestPalindrome1",
"signature": "def longestPalindrome1(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def longestPalindrome1(self, s): :type s: str :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def longestPalindrome1(self, s): :type s: str :rtype: str
<|skeleton|>
class Solution:
def longestPalindrome(self... | d4a33dc28a6d3f99d5179fdb6a83b2ab8c5a0beb | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def longestPalindrome1(self, s):
""":type s: str :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
length = len(s)
if not s or length == 1 or length == 0:
return s
for i in range(length, 0, -1):
n = 0
while n + i <= length:
sub_str = s[n:n + i]
... | the_stack_v2_python_sparse | leetcode/5_longest_palindrome.py | 294150302hxq/python_learn | train | 0 | |
c5764aee5381a7546c4774728b3b207aa5715303 | [
"N = len(nums)\nnums.sort()\nres = []\nfor t in range(N - 2):\n i, j = (t + 1, N - 1)\n while i < j:\n _sum = nums[t] + nums[i] + nums[j]\n if _sum == 0:\n res.append([nums[t], nums[i], nums[j]])\n i += 1\n j -= 1\n elif _sum < 0:\n i += 1\n ... | <|body_start_0|>
N = len(nums)
nums.sort()
res = []
for t in range(N - 2):
i, j = (t + 1, N - 1)
while i < j:
_sum = nums[t] + nums[i] + nums[j]
if _sum == 0:
res.append([nums[t], nums[i], nums[j]])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def threeSum1(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
N = len(nums)
nums... | stack_v2_sparse_classes_36k_train_013485 | 3,808 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "threeSum",
"signature": "def threeSum(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "threeSum1",
"signature": "def threeSum1(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017009 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSum(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def threeSum1(self, nums): :type nums: List[int] :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSum(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def threeSum1(self, nums): :type nums: List[int] :rtype: List[List[int]]
<|skeleton|>
class Solution:
... | 1379a6dc2400751ecf79ccd6ed401a1fb0d78046 | <|skeleton|>
class Solution:
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def threeSum1(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
N = len(nums)
nums.sort()
res = []
for t in range(N - 2):
i, j = (t + 1, N - 1)
while i < j:
_sum = nums[t] + nums[i] + nums[j]
... | the_stack_v2_python_sparse | Python3.6/15-Py3-M-3Sum.py | Hidenver2016/Leetcode | train | 1 | |
1e8d33d581429e0915424eddd1b9369710aa120b | [
"if k == len(c):\n res.append(c[:])\n return\nfor i in range(start, len(nums) - (k - len(c)) + 1):\n c.append(nums[i])\n self.findCombinations(nums, k, i + 1, c, res)\n c.pop()\nreturn",
"if nums == []:\n return [[]]\nres = list()\nres.append([])\nfor k in range(1, len(nums)):\n c = list()\n ... | <|body_start_0|>
if k == len(c):
res.append(c[:])
return
for i in range(start, len(nums) - (k - len(c)) + 1):
c.append(nums[i])
self.findCombinations(nums, k, i + 1, c, res)
c.pop()
return
<|end_body_0|>
<|body_start_1|>
if num... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findCombinations(self, nums, k, start, c, res):
""":type nums: List[int] :type k: int :type start: int: start index :type c： List[int] :rtype: List[List[int]]"""
<|body_0|>
def subsets(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
... | stack_v2_sparse_classes_36k_train_013486 | 1,265 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :type start: int: start index :type c： List[int] :rtype: List[List[int]]",
"name": "findCombinations",
"signature": "def findCombinations(self, nums, k, start, c, res)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name... | 2 | stack_v2_sparse_classes_30k_train_020877 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findCombinations(self, nums, k, start, c, res): :type nums: List[int] :type k: int :type start: int: start index :type c： List[int] :rtype: List[List[int]]
- def subsets(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findCombinations(self, nums, k, start, c, res): :type nums: List[int] :type k: int :type start: int: start index :type c： List[int] :rtype: List[List[int]]
- def subsets(self... | f8b35179b980e55f61bbcd2631fa3a9bf30c40ec | <|skeleton|>
class Solution:
def findCombinations(self, nums, k, start, c, res):
""":type nums: List[int] :type k: int :type start: int: start index :type c： List[int] :rtype: List[List[int]]"""
<|body_0|>
def subsets(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findCombinations(self, nums, k, start, c, res):
""":type nums: List[int] :type k: int :type start: int: start index :type c： List[int] :rtype: List[List[int]]"""
if k == len(c):
res.append(c[:])
return
for i in range(start, len(nums) - (k - len(c))... | the_stack_v2_python_sparse | Python Solutions/078 Subsets.py | Sue9/Leetcode | train | 0 | |
d6b3a3552c03fcb6162c45cf138f9b9686feda87 | [
"cookies = self.request.COOKIES\nout_list = ['nsfw', 'политика', 'жесть']\nif cookies.get('is_18_age') and cookies.get('nsfw'):\n out_list.remove('nsfw')\nif cookies.get('politic'):\n out_list.remove('политика')\nif cookies.get('gore'):\n out_list.remove('жесть')\nreturn out_list",
"request = self.reques... | <|body_start_0|>
cookies = self.request.COOKIES
out_list = ['nsfw', 'политика', 'жесть']
if cookies.get('is_18_age') and cookies.get('nsfw'):
out_list.remove('nsfw')
if cookies.get('politic'):
out_list.remove('политика')
if cookies.get('gore'):
... | Миксин для сборки запроса исходя из настроек поиска | SearchQuerysetMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SearchQuerysetMixin:
"""Миксин для сборки запроса исходя из настроек поиска"""
def get_tags_filter_Search(self):
"""Смотрит куки и возвращет спиок запрещенных постов"""
<|body_0|>
def get_queryset_search(self):
"""Определяем какие данные пришли из get и собираем ... | stack_v2_sparse_classes_36k_train_013487 | 4,472 | no_license | [
{
"docstring": "Смотрит куки и возвращет спиок запрещенных постов",
"name": "get_tags_filter_Search",
"signature": "def get_tags_filter_Search(self)"
},
{
"docstring": "Определяем какие данные пришли из get и собираем запрос или возвращаем количество постов",
"name": "get_queryset_search",
... | 2 | null | Implement the Python class `SearchQuerysetMixin` described below.
Class description:
Миксин для сборки запроса исходя из настроек поиска
Method signatures and docstrings:
- def get_tags_filter_Search(self): Смотрит куки и возвращет спиок запрещенных постов
- def get_queryset_search(self): Определяем какие данные приш... | Implement the Python class `SearchQuerysetMixin` described below.
Class description:
Миксин для сборки запроса исходя из настроек поиска
Method signatures and docstrings:
- def get_tags_filter_Search(self): Смотрит куки и возвращет спиок запрещенных постов
- def get_queryset_search(self): Определяем какие данные приш... | 48a9b0c5779a5ccf40c05176fff135d1e6efd893 | <|skeleton|>
class SearchQuerysetMixin:
"""Миксин для сборки запроса исходя из настроек поиска"""
def get_tags_filter_Search(self):
"""Смотрит куки и возвращет спиок запрещенных постов"""
<|body_0|>
def get_queryset_search(self):
"""Определяем какие данные пришли из get и собираем ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SearchQuerysetMixin:
"""Миксин для сборки запроса исходя из настроек поиска"""
def get_tags_filter_Search(self):
"""Смотрит куки и возвращет спиок запрещенных постов"""
cookies = self.request.COOKIES
out_list = ['nsfw', 'политика', 'жесть']
if cookies.get('is_18_age') and ... | the_stack_v2_python_sparse | search/package.py | untiwe/citrom_test | train | 0 |
26e807f8b34ac8bb96b2a76e3f731b84890a2937 | [
"collection = Collection.get_not_deleted(uid=collection_uid)\nif collection is None:\n raise ResourceNotFound('Collection not found')\npost = Post.get_not_deleted(uid=post_uid)\nif post is None:\n raise ResourceNotFound('Post not found')\npost.update(collection_id=collection.id)\nreturn api_success_response()... | <|body_start_0|>
collection = Collection.get_not_deleted(uid=collection_uid)
if collection is None:
raise ResourceNotFound('Collection not found')
post = Post.get_not_deleted(uid=post_uid)
if post is None:
raise ResourceNotFound('Post not found')
post.upda... | CollectionPostsView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CollectionPostsView:
def put(self, collection_uid, post_uid):
"""Add a post to a collection"""
<|body_0|>
def delete(self, collection_uid, post_uid):
"""Remove a post from a collection"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
collection = Col... | stack_v2_sparse_classes_36k_train_013488 | 4,875 | no_license | [
{
"docstring": "Add a post to a collection",
"name": "put",
"signature": "def put(self, collection_uid, post_uid)"
},
{
"docstring": "Remove a post from a collection",
"name": "delete",
"signature": "def delete(self, collection_uid, post_uid)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002657 | Implement the Python class `CollectionPostsView` described below.
Class description:
Implement the CollectionPostsView class.
Method signatures and docstrings:
- def put(self, collection_uid, post_uid): Add a post to a collection
- def delete(self, collection_uid, post_uid): Remove a post from a collection | Implement the Python class `CollectionPostsView` described below.
Class description:
Implement the CollectionPostsView class.
Method signatures and docstrings:
- def put(self, collection_uid, post_uid): Add a post to a collection
- def delete(self, collection_uid, post_uid): Remove a post from a collection
<|skeleto... | 610f3786b4402f9798225d2e97830e527bedc2d0 | <|skeleton|>
class CollectionPostsView:
def put(self, collection_uid, post_uid):
"""Add a post to a collection"""
<|body_0|>
def delete(self, collection_uid, post_uid):
"""Remove a post from a collection"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CollectionPostsView:
def put(self, collection_uid, post_uid):
"""Add a post to a collection"""
collection = Collection.get_not_deleted(uid=collection_uid)
if collection is None:
raise ResourceNotFound('Collection not found')
post = Post.get_not_deleted(uid=post_uid)... | the_stack_v2_python_sparse | modules/collections.py | babatundeladega/social-network-flask-bootstrap | train | 0 | |
a2ade2c6ca67f1449d567d17b0258d2879668864 | [
"try:\n self.account = Account.actives.get(pk=account_id)\nexcept Account.DoesNotExist:\n raise AccountNotExistError('Account ID %s does not exist or not active' % account_id)\nelse:\n storage = Storage(GoogleCredentials, 'account', self.account, 'credentials')\n self.credentials = storage.get()\n if... | <|body_start_0|>
try:
self.account = Account.actives.get(pk=account_id)
except Account.DoesNotExist:
raise AccountNotExistError('Account ID %s does not exist or not active' % account_id)
else:
storage = Storage(GoogleCredentials, 'account', self.account, 'cred... | Call Google Data APIs using pre-existing google credentials. Use /api/self/google-connect to get and save credentials. Sample usage: Get all Google contacts of account with id=3 g = GDataClient(account_id=3) response = g.get_json_response('get', 'https://www.google.com/m8/feeds/contacts/default/full', {'max-results': 1... | GDataClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GDataClient:
"""Call Google Data APIs using pre-existing google credentials. Use /api/self/google-connect to get and save credentials. Sample usage: Get all Google contacts of account with id=3 g = GDataClient(account_id=3) response = g.get_json_response('get', 'https://www.google.com/m8/feeds/co... | stack_v2_sparse_classes_36k_train_013489 | 2,708 | no_license | [
{
"docstring": "Create GDataClient connecting to an account_id. This account must have google credentials.",
"name": "__init__",
"signature": "def __init__(self, account_id)"
},
{
"docstring": "Returns access_token. Refresh if access_token has already expired.",
"name": "get_access_token",
... | 3 | stack_v2_sparse_classes_30k_train_014685 | Implement the Python class `GDataClient` described below.
Class description:
Call Google Data APIs using pre-existing google credentials. Use /api/self/google-connect to get and save credentials. Sample usage: Get all Google contacts of account with id=3 g = GDataClient(account_id=3) response = g.get_json_response('ge... | Implement the Python class `GDataClient` described below.
Class description:
Call Google Data APIs using pre-existing google credentials. Use /api/self/google-connect to get and save credentials. Sample usage: Get all Google contacts of account with id=3 g = GDataClient(account_id=3) response = g.get_json_response('ge... | 0d5912eb2800eeb095df9aec19045e3916ba0d13 | <|skeleton|>
class GDataClient:
"""Call Google Data APIs using pre-existing google credentials. Use /api/self/google-connect to get and save credentials. Sample usage: Get all Google contacts of account with id=3 g = GDataClient(account_id=3) response = g.get_json_response('get', 'https://www.google.com/m8/feeds/co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GDataClient:
"""Call Google Data APIs using pre-existing google credentials. Use /api/self/google-connect to get and save credentials. Sample usage: Get all Google contacts of account with id=3 g = GDataClient(account_id=3) response = g.get_json_response('get', 'https://www.google.com/m8/feeds/contacts/defaul... | the_stack_v2_python_sparse | core/shared/google_data_api.py | eventure-interactive/eventure_django | train | 0 |
5aa692bc58b9cfa196cac4928291e2637d996e94 | [
"if not nums:\n return 0\nn = len(nums)\npreSum = [0] * (n + 1)\nfor i in range(n):\n preSum[i + 1] = preSum[i] + nums[i]\ncount = 0\nfor i in range(n):\n for j in range(i, n):\n sums = preSum[j + 1] - preSum[i]\n if sums == k:\n count += 1\nreturn count",
"if not nums:\n retu... | <|body_start_0|>
if not nums:
return 0
n = len(nums)
preSum = [0] * (n + 1)
for i in range(n):
preSum[i + 1] = preSum[i] + nums[i]
count = 0
for i in range(n):
for j in range(i, n):
sums = preSum[j + 1] - preSum[i]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subarraySum(self, nums: list, k: int) -> int:
"""前缀和，然后暴力循环 数据太多超时"""
<|body_0|>
def subarraySum_2(self, nums: list, k: int) -> int:
"""优化版 1. 上面的方法中第二个for循环可以不要，它就是在计算某个范围的和而已，可以改成减法来做 2. 前缀和可以不用开辟数组，仅计算当前的和 3. 可以用字典来保存前缀和-k的差值"""
<|body_1|>
<... | stack_v2_sparse_classes_36k_train_013490 | 1,785 | no_license | [
{
"docstring": "前缀和，然后暴力循环 数据太多超时",
"name": "subarraySum",
"signature": "def subarraySum(self, nums: list, k: int) -> int"
},
{
"docstring": "优化版 1. 上面的方法中第二个for循环可以不要，它就是在计算某个范围的和而已，可以改成减法来做 2. 前缀和可以不用开辟数组，仅计算当前的和 3. 可以用字典来保存前缀和-k的差值",
"name": "subarraySum_2",
"signature": "def subarray... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarraySum(self, nums: list, k: int) -> int: 前缀和，然后暴力循环 数据太多超时
- def subarraySum_2(self, nums: list, k: int) -> int: 优化版 1. 上面的方法中第二个for循环可以不要，它就是在计算某个范围的和而已，可以改成减法来做 2. 前缀和... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarraySum(self, nums: list, k: int) -> int: 前缀和，然后暴力循环 数据太多超时
- def subarraySum_2(self, nums: list, k: int) -> int: 优化版 1. 上面的方法中第二个for循环可以不要，它就是在计算某个范围的和而已，可以改成减法来做 2. 前缀和... | 3508e1ce089131b19603c3206aab4cf43023bb19 | <|skeleton|>
class Solution:
def subarraySum(self, nums: list, k: int) -> int:
"""前缀和，然后暴力循环 数据太多超时"""
<|body_0|>
def subarraySum_2(self, nums: list, k: int) -> int:
"""优化版 1. 上面的方法中第二个for循环可以不要，它就是在计算某个范围的和而已，可以改成减法来做 2. 前缀和可以不用开辟数组，仅计算当前的和 3. 可以用字典来保存前缀和-k的差值"""
<|body_1|>
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def subarraySum(self, nums: list, k: int) -> int:
"""前缀和，然后暴力循环 数据太多超时"""
if not nums:
return 0
n = len(nums)
preSum = [0] * (n + 1)
for i in range(n):
preSum[i + 1] = preSum[i] + nums[i]
count = 0
for i in range(n):
... | the_stack_v2_python_sparse | algorithm/leetcode/list/19-和为K的子数组.py | lxconfig/UbuntuCode_bak | train | 0 | |
c7e334876ccb9cc6facedf6814ea43bc0c8f9004 | [
"f = lambda *args, **kwargs: ircutils.bold(ircutils.mircColor(*args, **kwargs))\nif not isinstance(aqino, int):\n return f(_(' %s No data ') % aqino, fg='white', bg='black')\nif aqino <= 50:\n return f(_(' %s (Good) ') % aqino, fg='white', bg='green')\nelif aqino <= 100:\n return f(_(' %s (Moderate) ') % a... | <|body_start_0|>
f = lambda *args, **kwargs: ircutils.bold(ircutils.mircColor(*args, **kwargs))
if not isinstance(aqino, int):
return f(_(' %s No data ') % aqino, fg='white', bg='black')
if aqino <= 50:
return f(_(' %s (Good) ') % aqino, fg='white', bg='green')
el... | Retrieves air quality index info from aqicn.org | AQI | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AQI:
"""Retrieves air quality index info from aqicn.org"""
def _format_aqi(aqino):
"""Formats the given AQINO index."""
<|body_0|>
def aqi(self, irc, msg, args, optlist, location):
"""[--geocode-backend <backend>] <location> Looks up Air Quality Index information... | stack_v2_sparse_classes_36k_train_013491 | 5,706 | permissive | [
{
"docstring": "Formats the given AQINO index.",
"name": "_format_aqi",
"signature": "def _format_aqi(aqino)"
},
{
"docstring": "[--geocode-backend <backend>] <location> Looks up Air Quality Index information for <location> using aqicn.org. --geocode-backend can be set to \"native\" or any geoco... | 2 | stack_v2_sparse_classes_30k_train_010159 | Implement the Python class `AQI` described below.
Class description:
Retrieves air quality index info from aqicn.org
Method signatures and docstrings:
- def _format_aqi(aqino): Formats the given AQINO index.
- def aqi(self, irc, msg, args, optlist, location): [--geocode-backend <backend>] <location> Looks up Air Qual... | Implement the Python class `AQI` described below.
Class description:
Retrieves air quality index info from aqicn.org
Method signatures and docstrings:
- def _format_aqi(aqino): Formats the given AQINO index.
- def aqi(self, irc, msg, args, optlist, location): [--geocode-backend <backend>] <location> Looks up Air Qual... | 11bd8181af9028b9319c7c9f0cd078546c6a908a | <|skeleton|>
class AQI:
"""Retrieves air quality index info from aqicn.org"""
def _format_aqi(aqino):
"""Formats the given AQINO index."""
<|body_0|>
def aqi(self, irc, msg, args, optlist, location):
"""[--geocode-backend <backend>] <location> Looks up Air Quality Index information... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AQI:
"""Retrieves air quality index info from aqicn.org"""
def _format_aqi(aqino):
"""Formats the given AQINO index."""
f = lambda *args, **kwargs: ircutils.bold(ircutils.mircColor(*args, **kwargs))
if not isinstance(aqino, int):
return f(_(' %s No data ') % aqino, fg=... | the_stack_v2_python_sparse | AQI/plugin.py | jlu5/SupyPlugins | train | 19 |
a82dc05a7a8c71cbc945a92d07a0a9ded32c795d | [
"self.spec = spec\nself.body_spec = body_spec\nself.body = body\nself.brain = brain\nself.expected_neurons = {}\nself.neurons = {}\nself.neural_connections = {}\nself.parts = set()",
"self._process_body_part(self.body.root)\nfor neuron in self.brain.neuron:\n self._process_neuron(neuron)\nfor conn in self.brai... | <|body_start_0|>
self.spec = spec
self.body_spec = body_spec
self.body = body
self.brain = brain
self.expected_neurons = {}
self.neurons = {}
self.neural_connections = {}
self.parts = set()
<|end_body_0|>
<|body_start_1|>
self._process_body_part(s... | Validates a neural net against a spec - this requires knowledge of the body as well. | NeuralNetValidator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NeuralNetValidator:
"""Validates a neural net against a spec - this requires knowledge of the body as well."""
def __init__(self, spec, body_spec, body, brain):
""":param spec: :type spec: NeuralNetImplementation :param body_spec: :type spec: BodyImplementation :param body: :param br... | stack_v2_sparse_classes_36k_train_013492 | 7,454 | permissive | [
{
"docstring": ":param spec: :type spec: NeuralNetImplementation :param body_spec: :type spec: BodyImplementation :param body: :param brain:",
"name": "__init__",
"signature": "def __init__(self, spec, body_spec, body, brain)"
},
{
"docstring": "Validates the neural network, raises exceptions of... | 5 | stack_v2_sparse_classes_30k_train_001095 | Implement the Python class `NeuralNetValidator` described below.
Class description:
Validates a neural net against a spec - this requires knowledge of the body as well.
Method signatures and docstrings:
- def __init__(self, spec, body_spec, body, brain): :param spec: :type spec: NeuralNetImplementation :param body_sp... | Implement the Python class `NeuralNetValidator` described below.
Class description:
Validates a neural net against a spec - this requires knowledge of the body as well.
Method signatures and docstrings:
- def __init__(self, spec, body_spec, body, brain): :param spec: :type spec: NeuralNetImplementation :param body_sp... | 70e65320a28fe04e121145b2cdde289d3052728a | <|skeleton|>
class NeuralNetValidator:
"""Validates a neural net against a spec - this requires knowledge of the body as well."""
def __init__(self, spec, body_spec, body, brain):
""":param spec: :type spec: NeuralNetImplementation :param body_spec: :type spec: BodyImplementation :param body: :param br... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NeuralNetValidator:
"""Validates a neural net against a spec - this requires knowledge of the body as well."""
def __init__(self, spec, body_spec, body, brain):
""":param spec: :type spec: NeuralNetImplementation :param body_spec: :type spec: BodyImplementation :param body: :param brain:"""
... | the_stack_v2_python_sparse | revolve/spec/validate.py | ElteHupkes/revolve | train | 0 |
bf2007a9d519c1ef8356ea1a687cbc5399279d61 | [
"start_time = datetime.now()\ntitle = cls.get_parameter('title', required=True, location=['json', 'form'])\ndesc = cls.get_parameter('desc', location=['json', 'form'])\nBaseController().create_task(index_id=index, task_id=task, title=title, desc=desc)\nresponse_data = dict(index=index, task=task, title=title, desc=... | <|body_start_0|>
start_time = datetime.now()
title = cls.get_parameter('title', required=True, location=['json', 'form'])
desc = cls.get_parameter('desc', location=['json', 'form'])
BaseController().create_task(index_id=index, task_id=task, title=title, desc=desc)
response_data =... | Task相关资源接口 | TaskResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskResource:
"""Task相关资源接口"""
def post(cls, index, task):
"""新建一个Task :param index: Task所属的index :param task: Task的id :return: 创建成功响应"""
<|body_0|>
def delete(cls, index, task):
"""删除一个task :param index: Task所属的index :param task: Task的id :return: 删除成功响应"""
... | stack_v2_sparse_classes_36k_train_013493 | 3,892 | permissive | [
{
"docstring": "新建一个Task :param index: Task所属的index :param task: Task的id :return: 创建成功响应",
"name": "post",
"signature": "def post(cls, index, task)"
},
{
"docstring": "删除一个task :param index: Task所属的index :param task: Task的id :return: 删除成功响应",
"name": "delete",
"signature": "def delete(cl... | 5 | stack_v2_sparse_classes_30k_train_004520 | Implement the Python class `TaskResource` described below.
Class description:
Task相关资源接口
Method signatures and docstrings:
- def post(cls, index, task): 新建一个Task :param index: Task所属的index :param task: Task的id :return: 创建成功响应
- def delete(cls, index, task): 删除一个task :param index: Task所属的index :param task: Task的id :re... | Implement the Python class `TaskResource` described below.
Class description:
Task相关资源接口
Method signatures and docstrings:
- def post(cls, index, task): 新建一个Task :param index: Task所属的index :param task: Task的id :return: 创建成功响应
- def delete(cls, index, task): 删除一个task :param index: Task所属的index :param task: Task的id :re... | 3d50d3854a087eecaf45a744ddfe2fa2e225951a | <|skeleton|>
class TaskResource:
"""Task相关资源接口"""
def post(cls, index, task):
"""新建一个Task :param index: Task所属的index :param task: Task的id :return: 创建成功响应"""
<|body_0|>
def delete(cls, index, task):
"""删除一个task :param index: Task所属的index :param task: Task的id :return: 删除成功响应"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskResource:
"""Task相关资源接口"""
def post(cls, index, task):
"""新建一个Task :param index: Task所属的index :param task: Task的id :return: 创建成功响应"""
start_time = datetime.now()
title = cls.get_parameter('title', required=True, location=['json', 'form'])
desc = cls.get_parameter('desc... | the_stack_v2_python_sparse | App/apis/TaskResource.py | PhenomingZ/dicer2 | train | 1 |
e998b49a3db66c22905d0c817517699f4fdd9e84 | [
"super().__init__()\nassert batch_size % num_id == 0\nself.anneal = anneal\nself.batch_size = batch_size\nself.num_id = num_id\nself.feat_dims = feat_dims",
"preds = F.normalize(preds, dim=1)\nmask = 1.0 - torch.eye(self.batch_size)\nmask = mask.unsqueeze(dim=0).repeat(self.batch_size, 1, 1)\nsim_all = torch.mm(p... | <|body_start_0|>
super().__init__()
assert batch_size % num_id == 0
self.anneal = anneal
self.batch_size = batch_size
self.num_id = num_id
self.feat_dims = feat_dims
<|end_body_0|>
<|body_start_1|>
preds = F.normalize(preds, dim=1)
mask = 1.0 - torch.eye(... | PyTorch implementation of the Smooth-AP loss. implementation of the Smooth-AP loss. Takes as input the mini-batch of CNN-produced feature embeddings and returns the value of the Smooth-AP loss. The mini-batch must be formed of a defined number of classes. Each class must have the same number of instances represented in... | SmoothAP_old | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SmoothAP_old:
"""PyTorch implementation of the Smooth-AP loss. implementation of the Smooth-AP loss. Takes as input the mini-batch of CNN-produced feature embeddings and returns the value of the Smooth-AP loss. The mini-batch must be formed of a defined number of classes. Each class must have the... | stack_v2_sparse_classes_36k_train_013494 | 10,777 | permissive | [
{
"docstring": "Parameters ---------- anneal : float the temperature of the sigmoid that is used to smooth the ranking function batch_size : int the batch size being used num_id : int the number of different classes that are represented in the batch feat_dims : int the dimension of the input feature embeddings"... | 2 | stack_v2_sparse_classes_30k_train_018968 | Implement the Python class `SmoothAP_old` described below.
Class description:
PyTorch implementation of the Smooth-AP loss. implementation of the Smooth-AP loss. Takes as input the mini-batch of CNN-produced feature embeddings and returns the value of the Smooth-AP loss. The mini-batch must be formed of a defined numb... | Implement the Python class `SmoothAP_old` described below.
Class description:
PyTorch implementation of the Smooth-AP loss. implementation of the Smooth-AP loss. Takes as input the mini-batch of CNN-produced feature embeddings and returns the value of the Smooth-AP loss. The mini-batch must be formed of a defined numb... | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | <|skeleton|>
class SmoothAP_old:
"""PyTorch implementation of the Smooth-AP loss. implementation of the Smooth-AP loss. Takes as input the mini-batch of CNN-produced feature embeddings and returns the value of the Smooth-AP loss. The mini-batch must be formed of a defined number of classes. Each class must have the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SmoothAP_old:
"""PyTorch implementation of the Smooth-AP loss. implementation of the Smooth-AP loss. Takes as input the mini-batch of CNN-produced feature embeddings and returns the value of the Smooth-AP loss. The mini-batch must be formed of a defined number of classes. Each class must have the same number ... | the_stack_v2_python_sparse | fastreid/modeling/losses/smooth_ap.py | SZLSP/reid2020NAIC | train | 2 |
09708350bf3d70b4c8c284e8cb9f8ec62cbe963e | [
"if len(nums) < 3:\n return 0\nfirstBiggest, secondBiggest, thirdBiggest = (float('-inf'), float('-inf'), float('-inf'))\nfirstSmallest, secondSmallest = (float('-inf'), float('-inf'))\nC = Counter(nums)\nfirstBiggest = max(C)\nC[firstBiggest] -= 1\nif not C[firstBiggest]:\n del C[firstBiggest]\nsecondBiggest... | <|body_start_0|>
if len(nums) < 3:
return 0
firstBiggest, secondBiggest, thirdBiggest = (float('-inf'), float('-inf'), float('-inf'))
firstSmallest, secondSmallest = (float('-inf'), float('-inf'))
C = Counter(nums)
firstBiggest = max(C)
C[firstBiggest] -= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maximumProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maximumProductFirstSolution(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(nums) < 3:
... | stack_v2_sparse_classes_36k_train_013495 | 1,631 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maximumProduct",
"signature": "def maximumProduct(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maximumProductFirstSolution",
"signature": "def maximumProductFirstSolution(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008867 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maximumProduct(self, nums): :type nums: List[int] :rtype: int
- def maximumProductFirstSolution(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 maximumProduct(self, nums): :type nums: List[int] :rtype: int
- def maximumProductFirstSolution(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
... | 25e5caf324e25edfdf0a7a3be1e572f5d4c88837 | <|skeleton|>
class Solution:
def maximumProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maximumProductFirstSolution(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maximumProduct(self, nums):
""":type nums: List[int] :rtype: int"""
if len(nums) < 3:
return 0
firstBiggest, secondBiggest, thirdBiggest = (float('-inf'), float('-inf'), float('-inf'))
firstSmallest, secondSmallest = (float('-inf'), float('-inf'))
... | the_stack_v2_python_sparse | Arrays/maximum_product_of_three_numbers.py | msraju2009/CodingProblemsPractice | train | 0 | |
c94811c3fa387981ae712874af7af55f987415dc | [
"self.find(MobileBy.XPATH, '//android.widget.RelativeLayout[@resource-id=\"com.tencent.wework:id/cth\"]').click()\nsleep(2)\nif '快速输入' in self.driver.page_source:\n self.find(MobileBy.XPATH, '//*[@text=\"快速输入\"]').click()\nelse:\n print('当前处于快速输入页')\nreturn QuickEditPage(self.driver)",
"self.find(MobileBy.X... | <|body_start_0|>
self.find(MobileBy.XPATH, '//android.widget.RelativeLayout[@resource-id="com.tencent.wework:id/cth"]').click()
sleep(2)
if '快速输入' in self.driver.page_source:
self.find(MobileBy.XPATH, '//*[@text="快速输入"]').click()
else:
print('当前处于快速输入页')
r... | AddMembersPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddMembersPage:
def goto_manuall_edit_page(self):
"""点击 手动添加成员到快速输入page :return:"""
<|body_0|>
def goto_full_edit_page(self):
"""点击手动添加成员到完整输入page :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.find(MobileBy.XPATH, '//android.widget.R... | stack_v2_sparse_classes_36k_train_013496 | 1,520 | no_license | [
{
"docstring": "点击 手动添加成员到快速输入page :return:",
"name": "goto_manuall_edit_page",
"signature": "def goto_manuall_edit_page(self)"
},
{
"docstring": "点击手动添加成员到完整输入page :return:",
"name": "goto_full_edit_page",
"signature": "def goto_full_edit_page(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012154 | Implement the Python class `AddMembersPage` described below.
Class description:
Implement the AddMembersPage class.
Method signatures and docstrings:
- def goto_manuall_edit_page(self): 点击 手动添加成员到快速输入page :return:
- def goto_full_edit_page(self): 点击手动添加成员到完整输入page :return: | Implement the Python class `AddMembersPage` described below.
Class description:
Implement the AddMembersPage class.
Method signatures and docstrings:
- def goto_manuall_edit_page(self): 点击 手动添加成员到快速输入page :return:
- def goto_full_edit_page(self): 点击手动添加成员到完整输入page :return:
<|skeleton|>
class AddMembersPage:
def... | 8e8a859b2bfc032e78ac5bd1895a35ca5d981ed5 | <|skeleton|>
class AddMembersPage:
def goto_manuall_edit_page(self):
"""点击 手动添加成员到快速输入page :return:"""
<|body_0|>
def goto_full_edit_page(self):
"""点击手动添加成员到完整输入page :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddMembersPage:
def goto_manuall_edit_page(self):
"""点击 手动添加成员到快速输入page :return:"""
self.find(MobileBy.XPATH, '//android.widget.RelativeLayout[@resource-id="com.tencent.wework:id/cth"]').click()
sleep(2)
if '快速输入' in self.driver.page_source:
self.find(MobileBy.XPATH... | the_stack_v2_python_sparse | app/appo/page/add_menbers_page.py | zwnong/HogwartsSDE17_HomeWork | train | 1 | |
18a95e1da5f43bf4586a1a2c77ad942c54626d2a | [
"self.region = region\nself.subnet = subnet\nself.vpc = vpc",
"if dictionary is None:\n return None\nregion = dictionary.get('region')\nsubnet = dictionary.get('subnet')\nvpc = dictionary.get('vpc')\nreturn cls(region, subnet, vpc)"
] | <|body_start_0|>
self.region = region
self.subnet = subnet
self.vpc = vpc
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
region = dictionary.get('region')
subnet = dictionary.get('subnet')
vpc = dictionary.get('vpc')
return... | Implementation of the 'AWSFleetParams_NetworkParams' model. TODO: type description here. Attributes: region (string): Region for the VM. subnet (string): Subnet for the VM. vpc (string): VPC for the VM. | AWSFleetParams_NetworkParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AWSFleetParams_NetworkParams:
"""Implementation of the 'AWSFleetParams_NetworkParams' model. TODO: type description here. Attributes: region (string): Region for the VM. subnet (string): Subnet for the VM. vpc (string): VPC for the VM."""
def __init__(self, region=None, subnet=None, vpc=None... | stack_v2_sparse_classes_36k_train_013497 | 1,661 | permissive | [
{
"docstring": "Constructor for the AWSFleetParams_NetworkParams class",
"name": "__init__",
"signature": "def __init__(self, region=None, subnet=None, vpc=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of ... | 2 | null | Implement the Python class `AWSFleetParams_NetworkParams` described below.
Class description:
Implementation of the 'AWSFleetParams_NetworkParams' model. TODO: type description here. Attributes: region (string): Region for the VM. subnet (string): Subnet for the VM. vpc (string): VPC for the VM.
Method signatures and... | Implement the Python class `AWSFleetParams_NetworkParams` described below.
Class description:
Implementation of the 'AWSFleetParams_NetworkParams' model. TODO: type description here. Attributes: region (string): Region for the VM. subnet (string): Subnet for the VM. vpc (string): VPC for the VM.
Method signatures and... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class AWSFleetParams_NetworkParams:
"""Implementation of the 'AWSFleetParams_NetworkParams' model. TODO: type description here. Attributes: region (string): Region for the VM. subnet (string): Subnet for the VM. vpc (string): VPC for the VM."""
def __init__(self, region=None, subnet=None, vpc=None... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AWSFleetParams_NetworkParams:
"""Implementation of the 'AWSFleetParams_NetworkParams' model. TODO: type description here. Attributes: region (string): Region for the VM. subnet (string): Subnet for the VM. vpc (string): VPC for the VM."""
def __init__(self, region=None, subnet=None, vpc=None):
""... | the_stack_v2_python_sparse | cohesity_management_sdk/models/aws_fleet_params_network_params.py | cohesity/management-sdk-python | train | 24 |
787b47ca0fd5146b77ce4edcf0f895ed27d910e2 | [
"M, elements_lv0, data_impress, wells = initial_mesh(mesh, load=load, convert=convert)\nctes.init(M, wells)\nctes.component_properties()\nfprop = self.get_initial_properties(M, wells)\nreturn (M, data_impress, wells, fprop, load, elements_lv0)",
"t0 = time.time()\nt_obj = delta_time(fprop)\n'---- Get pressure fie... | <|body_start_0|>
M, elements_lv0, data_impress, wells = initial_mesh(mesh, load=load, convert=convert)
ctes.init(M, wells)
ctes.component_properties()
fprop = self.get_initial_properties(M, wells)
return (M, data_impress, wells, fprop, load, elements_lv0)
<|end_body_0|>
<|body_s... | RunSimulationAdm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunSimulationAdm:
def initialize(self, load, convert, mesh, **kwargs):
"""Function to initialize mesh (preprocess) get and compute initial mesh properties"""
<|body_0|>
def run(self, M, wells, fprop, load, **kwargs):
"""Function created to compute reservoir and fluid... | stack_v2_sparse_classes_36k_train_013498 | 3,699 | no_license | [
{
"docstring": "Function to initialize mesh (preprocess) get and compute initial mesh properties",
"name": "initialize",
"signature": "def initialize(self, load, convert, mesh, **kwargs)"
},
{
"docstring": "Function created to compute reservoir and fluid properties at each time step",
"name"... | 2 | null | Implement the Python class `RunSimulationAdm` described below.
Class description:
Implement the RunSimulationAdm class.
Method signatures and docstrings:
- def initialize(self, load, convert, mesh, **kwargs): Function to initialize mesh (preprocess) get and compute initial mesh properties
- def run(self, M, wells, fp... | Implement the Python class `RunSimulationAdm` described below.
Class description:
Implement the RunSimulationAdm class.
Method signatures and docstrings:
- def initialize(self, load, convert, mesh, **kwargs): Function to initialize mesh (preprocess) get and compute initial mesh properties
- def run(self, M, wells, fp... | f322547d5dc315b592e5f8334fdc55caaa8b9851 | <|skeleton|>
class RunSimulationAdm:
def initialize(self, load, convert, mesh, **kwargs):
"""Function to initialize mesh (preprocess) get and compute initial mesh properties"""
<|body_0|>
def run(self, M, wells, fprop, load, **kwargs):
"""Function created to compute reservoir and fluid... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RunSimulationAdm:
def initialize(self, load, convert, mesh, **kwargs):
"""Function to initialize mesh (preprocess) get and compute initial mesh properties"""
M, elements_lv0, data_impress, wells = initial_mesh(mesh, load=load, convert=convert)
ctes.init(M, wells)
ctes.component... | the_stack_v2_python_sparse | adm_impec-00/run_compositional_adm.py | obel01/obel-impec | train | 0 | |
5b5d8e99def0cd2ca057f9f16d0b48d6a8083853 | [
"self._rootProduction = root\nself._declaration = declaration\nself._generator = simpleparsegrammar.Parser(declaration, prebuilts, definitionSources=definitionSources).generator",
"if production is None:\n production = self._rootProduction\nif processor is None:\n processor = self.buildProcessor()\nreturn s... | <|body_start_0|>
self._rootProduction = root
self._declaration = declaration
self._generator = simpleparsegrammar.Parser(declaration, prebuilts, definitionSources=definitionSources).generator
<|end_body_0|>
<|body_start_1|>
if production is None:
production = self._rootProdu... | EBNF-generated Parsers with results-handling The Parser is a two-stage object: Passed an EBNF definition during initialisation, it compiles the definition into a tagging table (which in turn requires creating a tagging table for parsing the EBNF). You then call the parser's parse method to perform the actual parsing of... | Parser | [
"LicenseRef-scancode-warranty-disclaimer",
"GPL-1.0-or-later",
"LicenseRef-scancode-other-copyleft",
"LGPL-2.1-or-later",
"GPL-3.0-only",
"LGPL-2.0-or-later",
"GPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Parser:
"""EBNF-generated Parsers with results-handling The Parser is a two-stage object: Passed an EBNF definition during initialisation, it compiles the definition into a tagging table (which in turn requires creating a tagging table for parsing the EBNF). You then call the parser's parse metho... | stack_v2_sparse_classes_36k_train_013499 | 1,696 | permissive | [
{
"docstring": "Initialise the parser, creating the tagging table for it declaration -- simpleparse ebnf declaration of the language being parsed root -- root production used for parsing if none explicitly specified prebuilts -- sequence of (name,value) tuples with prebuilt tables, values can be either objectge... | 2 | null | Implement the Python class `Parser` described below.
Class description:
EBNF-generated Parsers with results-handling The Parser is a two-stage object: Passed an EBNF definition during initialisation, it compiles the definition into a tagging table (which in turn requires creating a tagging table for parsing the EBNF).... | Implement the Python class `Parser` described below.
Class description:
EBNF-generated Parsers with results-handling The Parser is a two-stage object: Passed an EBNF definition during initialisation, it compiles the definition into a tagging table (which in turn requires creating a tagging table for parsing the EBNF).... | 7f600ad153270feff12aa7aa86d7ed0a49ebc71c | <|skeleton|>
class Parser:
"""EBNF-generated Parsers with results-handling The Parser is a two-stage object: Passed an EBNF definition during initialisation, it compiles the definition into a tagging table (which in turn requires creating a tagging table for parsing the EBNF). You then call the parser's parse metho... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Parser:
"""EBNF-generated Parsers with results-handling The Parser is a two-stage object: Passed an EBNF definition during initialisation, it compiles the definition into a tagging table (which in turn requires creating a tagging table for parsing the EBNF). You then call the parser's parse method to perform ... | the_stack_v2_python_sparse | pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/simpleparse/parser.py | alexus37/AugmentedRealityChess | train | 1 |
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