blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
93da32f98d204be5e1e010852b8b6442f9a335b4 | [
"credentials = service_account.Credentials.from_service_account_file(filename)\nkwargs['credentials'] = credentials\nreturn cls(*args, **kwargs)",
"if client_config is not None:\n warnings.warn('The `client_config` argument is deprecated.', PendingDeprecationWarning, stacklevel=2)\nelse:\n client_config = g... | <|body_start_0|>
credentials = service_account.Credentials.from_service_account_file(filename)
kwargs['credentials'] = credentials
return cls(*args, **kwargs)
<|end_body_0|>
<|body_start_1|>
if client_config is not None:
warnings.warn('The `client_config` argument is depreca... | Service to fetch data and metrics across resources. | GoogleAdsServiceClient | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleAdsServiceClient:
"""Service to fetch data and metrics across resources."""
def from_service_account_file(cls, filename, *args, **kwargs):
"""Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private ke... | stack_v2_sparse_classes_75kplus_train_068600 | 15,850 | permissive | [
{
"docstring": "Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: GoogleAdsServiceClient: Th... | 4 | null | Implement the Python class `GoogleAdsServiceClient` described below.
Class description:
Service to fetch data and metrics across resources.
Method signatures and docstrings:
- def from_service_account_file(cls, filename, *args, **kwargs): Creates an instance of this client using the provided credentials file. Args: f... | Implement the Python class `GoogleAdsServiceClient` described below.
Class description:
Service to fetch data and metrics across resources.
Method signatures and docstrings:
- def from_service_account_file(cls, filename, *args, **kwargs): Creates an instance of this client using the provided credentials file. Args: f... | 0fc8a7dbf31d9e8e2a4364df93bec5f6b7edd50a | <|skeleton|>
class GoogleAdsServiceClient:
"""Service to fetch data and metrics across resources."""
def from_service_account_file(cls, filename, *args, **kwargs):
"""Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private ke... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoogleAdsServiceClient:
"""Service to fetch data and metrics across resources."""
def from_service_account_file(cls, filename, *args, **kwargs):
"""Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. ... | the_stack_v2_python_sparse | google/ads/google_ads/v1/services/google_ads_service_client.py | juanmacugat/google-ads-python | train | 1 |
67a1c4bd52df576b0ffbb7180ccd00fcc7f6ec34 | [
"if self.singledot is not None and self.doubledot is not None and (self.dotregime is not None):\n return True\nelse:\n return False",
"if self.pinchoff is not None:\n return True\nelse:\n return False"
] | <|body_start_0|>
if self.singledot is not None and self.doubledot is not None and (self.dotregime is not None):
return True
else:
return False
<|end_body_0|>
<|body_start_1|>
if self.pinchoff is not None:
return True
else:
return False
<|e... | Class grouping binary classifiers required for tuning. Parameters: pinchoff (optional nt.Classifier): pre-trained pinch-off classifier. singledot (optional nt.Classifier): pre-trained single dot classifier. doubledot (optional nt.Classifier): pre-trained double dot classifier. dotregime (optional nt.Classifier): pre-tr... | Classifiers | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Classifiers:
"""Class grouping binary classifiers required for tuning. Parameters: pinchoff (optional nt.Classifier): pre-trained pinch-off classifier. singledot (optional nt.Classifier): pre-trained single dot classifier. doubledot (optional nt.Classifier): pre-trained double dot classifier. dot... | stack_v2_sparse_classes_75kplus_train_068601 | 7,268 | permissive | [
{
"docstring": "Checks if dot classifiers are specified/not None. If so, the `Classifiers` instance can be used in a dot tuning algorithm.",
"name": "is_dot_classifier",
"signature": "def is_dot_classifier(self) -> bool"
},
{
"docstring": "Checks if pinch-off classifier is specified/not None. If... | 2 | stack_v2_sparse_classes_30k_test_002193 | Implement the Python class `Classifiers` described below.
Class description:
Class grouping binary classifiers required for tuning. Parameters: pinchoff (optional nt.Classifier): pre-trained pinch-off classifier. singledot (optional nt.Classifier): pre-trained single dot classifier. doubledot (optional nt.Classifier):... | Implement the Python class `Classifiers` described below.
Class description:
Class grouping binary classifiers required for tuning. Parameters: pinchoff (optional nt.Classifier): pre-trained pinch-off classifier. singledot (optional nt.Classifier): pre-trained single dot classifier. doubledot (optional nt.Classifier):... | caf50f78c335cd1af4ed11e02c100ddf8d6755a5 | <|skeleton|>
class Classifiers:
"""Class grouping binary classifiers required for tuning. Parameters: pinchoff (optional nt.Classifier): pre-trained pinch-off classifier. singledot (optional nt.Classifier): pre-trained single dot classifier. doubledot (optional nt.Classifier): pre-trained double dot classifier. dot... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Classifiers:
"""Class grouping binary classifiers required for tuning. Parameters: pinchoff (optional nt.Classifier): pre-trained pinch-off classifier. singledot (optional nt.Classifier): pre-trained single dot classifier. doubledot (optional nt.Classifier): pre-trained double dot classifier. dotregime (optio... | the_stack_v2_python_sparse | nanotune/tuningstages/settings.py | picarro-yren/nanotune | train | 0 |
8f92fec21b8ed7ef95084dc8d6440f8bf40bb6f5 | [
"if head == None:\n return None\np1 = None\np2 = head\nwhile p2:\n tmp = p2.next\n p2.next = p1\n p1 = p2\n p2 = tmp\nreturn p1",
"if head == None or head.next == None:\n return True\nfast = head\nslow = head\nwhile fast and fast.next:\n slow = slow.next\n fast = fast.next.next\nif fast:\n... | <|body_start_0|>
if head == None:
return None
p1 = None
p2 = head
while p2:
tmp = p2.next
p2.next = p1
p1 = p2
p2 = tmp
return p1
<|end_body_0|>
<|body_start_1|>
if head == None or head.next == None:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if head == None:
return None... | stack_v2_sparse_classes_75kplus_train_068602 | 1,409 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList",
"signature": "def reverseList(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, head)"
}
] | 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 isPalindrome(self, head): :type head: ListNode :rtype: bool | 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 isPalindrome(self, head): :type head: ListNode :rtype: bool
<|skeleton|>
class Solution:
def revers... | 1520e1e9bb0c428797a3e5234e5b328110472c20 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def isPalindrome(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
if head == None:
return None
p1 = None
p2 = head
while p2:
tmp = p2.next
p2.next = p1
p1 = p2
p2 = tmp
return p1
d... | the_stack_v2_python_sparse | LinkedList/234. Palindrome Linked List.py | tinkle1129/Leetcode_Solution | train | 0 | |
2691cb02c918312249e2d85878b4ff3ffd0b1cb0 | [
"for i in range(retries):\n try:\n client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n client.connect((host, port))\n return client\n except ConnectionRefusedError:\n client.close()\n if startup is not None and i == 0:\n startup()\n elif i == retri... | <|body_start_0|>
for i in range(retries):
try:
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client.connect((host, port))
return client
except ConnectionRefusedError:
client.close()
if startup is... | Various socket convenience functions | SocketUtils | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SocketUtils:
"""Various socket convenience functions"""
def connect(host: str, port: int, retries=5, retrygap=2, startup=None):
"""Create TCP/IP stream-based connection to given host / port, with retries :param host: hostname to connect to :param port: port # :param retries: number o... | stack_v2_sparse_classes_75kplus_train_068603 | 2,213 | permissive | [
{
"docstring": "Create TCP/IP stream-based connection to given host / port, with retries :param host: hostname to connect to :param port: port # :param retries: number of retries to connect :param retrygap: time to sleep between retries in seconds :param startup: function to be called to start server if server ... | 2 | stack_v2_sparse_classes_30k_train_046729 | Implement the Python class `SocketUtils` described below.
Class description:
Various socket convenience functions
Method signatures and docstrings:
- def connect(host: str, port: int, retries=5, retrygap=2, startup=None): Create TCP/IP stream-based connection to given host / port, with retries :param host: hostname t... | Implement the Python class `SocketUtils` described below.
Class description:
Various socket convenience functions
Method signatures and docstrings:
- def connect(host: str, port: int, retries=5, retrygap=2, startup=None): Create TCP/IP stream-based connection to given host / port, with retries :param host: hostname t... | 6692749712fd5c654f467f658833ad91fb7e32be | <|skeleton|>
class SocketUtils:
"""Various socket convenience functions"""
def connect(host: str, port: int, retries=5, retrygap=2, startup=None):
"""Create TCP/IP stream-based connection to given host / port, with retries :param host: hostname to connect to :param port: port # :param retries: number o... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SocketUtils:
"""Various socket convenience functions"""
def connect(host: str, port: int, retries=5, retrygap=2, startup=None):
"""Create TCP/IP stream-based connection to given host / port, with retries :param host: hostname to connect to :param port: port # :param retries: number of retries to ... | the_stack_v2_python_sparse | src/Python/pyDotNet/src/pydotnet/core/io/SocketUtils.py | stjordanis/.Net-Bridge | train | 1 |
c55f1e260e27665a32fea9d7d8a92c8ed12268af | [
"logger.info('%s initialization' % obj.name)\nsuper(self.__class__, self).__init__(obj, parent)\nself.ppx = 0.0\nself.ppy = 0.0\nself.ppz = 0.0\nself.pvx = 0.0\nself.pvy = 0.0\nself.pvz = 0.0\nself.p = self.blender_obj.position\nself.v = [0.0, 0.0, 0.0]\nself.pv = [0.0, 0.0, 0.0]\nself.a = [0.0, 0.0, 0.0]\nself.tic... | <|body_start_0|>
logger.info('%s initialization' % obj.name)
super(self.__class__, self).__init__(obj, parent)
self.ppx = 0.0
self.ppy = 0.0
self.ppz = 0.0
self.pvx = 0.0
self.pvy = 0.0
self.pvz = 0.0
self.p = self.blender_obj.position
self... | Accelerometer sensor | AccelerometerClass | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccelerometerClass:
"""Accelerometer sensor"""
def __init__(self, obj, parent=None):
"""Constructor method. Receives the reference to the Blender object. The second parameter should be the name of the object's parent."""
<|body_0|>
def default_action(self):
"""Co... | stack_v2_sparse_classes_75kplus_train_068604 | 3,250 | permissive | [
{
"docstring": "Constructor method. Receives the reference to the Blender object. The second parameter should be the name of the object's parent.",
"name": "__init__",
"signature": "def __init__(self, obj, parent=None)"
},
{
"docstring": "Compute the speed and accleration of the robot The speed ... | 2 | stack_v2_sparse_classes_30k_test_000064 | Implement the Python class `AccelerometerClass` described below.
Class description:
Accelerometer sensor
Method signatures and docstrings:
- def __init__(self, obj, parent=None): Constructor method. Receives the reference to the Blender object. The second parameter should be the name of the object's parent.
- def def... | Implement the Python class `AccelerometerClass` described below.
Class description:
Accelerometer sensor
Method signatures and docstrings:
- def __init__(self, obj, parent=None): Constructor method. Receives the reference to the Blender object. The second parameter should be the name of the object's parent.
- def def... | 07fcb64fea3b58b258e917eb1aed0a585f863418 | <|skeleton|>
class AccelerometerClass:
"""Accelerometer sensor"""
def __init__(self, obj, parent=None):
"""Constructor method. Receives the reference to the Blender object. The second parameter should be the name of the object's parent."""
<|body_0|>
def default_action(self):
"""Co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AccelerometerClass:
"""Accelerometer sensor"""
def __init__(self, obj, parent=None):
"""Constructor method. Receives the reference to the Blender object. The second parameter should be the name of the object's parent."""
logger.info('%s initialization' % obj.name)
super(self.__cla... | the_stack_v2_python_sparse | src/morse/sensors/accelerometer.py | DefaultUser/morse | train | 2 |
2361b9a96d30fbe16752a84561bf8799304d433a | [
"self.vocab, self.ids_to_tokens = load_vocab(vocab_file)\nnever_split = ('[UNK]', '[SEP]', '[PAD]', '[CLS]', '[MASK]')\nself.basic_tokenizer = BasicTokenizer(do_lower_case=do_lower_case, never_split=never_split)\nself.wordpiece_tokenizer = WordpieceTokenizer(vocab=self.vocab)",
"split_tokens = []\nfor token in se... | <|body_start_0|>
self.vocab, self.ids_to_tokens = load_vocab(vocab_file)
never_split = ('[UNK]', '[SEP]', '[PAD]', '[CLS]', '[MASK]')
self.basic_tokenizer = BasicTokenizer(do_lower_case=do_lower_case, never_split=never_split)
self.wordpiece_tokenizer = WordpieceTokenizer(vocab=self.vocab... | BERT用の文章の単語分割クラスを実装 | BertTokenizer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BertTokenizer:
"""BERT用の文章の単語分割クラスを実装"""
def __init__(self, vocab_file, do_lower_case=True):
"""vocab_file：ボキャブラリーへのパス do_lower_case：前処理で単語を小文字化するかどうか"""
<|body_0|>
def tokenize(self, text):
"""文章を単語に分割する関数"""
<|body_1|>
def convert_tokens_to_ids(sel... | stack_v2_sparse_classes_75kplus_train_068605 | 30,882 | permissive | [
{
"docstring": "vocab_file：ボキャブラリーへのパス do_lower_case：前処理で単語を小文字化するかどうか",
"name": "__init__",
"signature": "def __init__(self, vocab_file, do_lower_case=True)"
},
{
"docstring": "文章を単語に分割する関数",
"name": "tokenize",
"signature": "def tokenize(self, text)"
},
{
"docstring": "分割された単語リ... | 4 | stack_v2_sparse_classes_30k_train_005346 | Implement the Python class `BertTokenizer` described below.
Class description:
BERT用の文章の単語分割クラスを実装
Method signatures and docstrings:
- def __init__(self, vocab_file, do_lower_case=True): vocab_file：ボキャブラリーへのパス do_lower_case：前処理で単語を小文字化するかどうか
- def tokenize(self, text): 文章を単語に分割する関数
- def convert_tokens_to_ids(self, t... | Implement the Python class `BertTokenizer` described below.
Class description:
BERT用の文章の単語分割クラスを実装
Method signatures and docstrings:
- def __init__(self, vocab_file, do_lower_case=True): vocab_file：ボキャブラリーへのパス do_lower_case：前処理で単語を小文字化するかどうか
- def tokenize(self, text): 文章を単語に分割する関数
- def convert_tokens_to_ids(self, t... | bada8e07bd7503ed6d7a371fafb7a29b52b06d62 | <|skeleton|>
class BertTokenizer:
"""BERT用の文章の単語分割クラスを実装"""
def __init__(self, vocab_file, do_lower_case=True):
"""vocab_file：ボキャブラリーへのパス do_lower_case：前処理で単語を小文字化するかどうか"""
<|body_0|>
def tokenize(self, text):
"""文章を単語に分割する関数"""
<|body_1|>
def convert_tokens_to_ids(sel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BertTokenizer:
"""BERT用の文章の単語分割クラスを実装"""
def __init__(self, vocab_file, do_lower_case=True):
"""vocab_file：ボキャブラリーへのパス do_lower_case：前処理で単語を小文字化するかどうか"""
self.vocab, self.ids_to_tokens = load_vocab(vocab_file)
never_split = ('[UNK]', '[SEP]', '[PAD]', '[CLS]', '[MASK]')
se... | the_stack_v2_python_sparse | 8_nlp_sentiment_bert/utils/bert.py | YutaroOgawa/pytorch_advanced | train | 811 |
fc9f3a6515efcebec041e506c4fdfe03abe0be86 | [
"super().__init__()\nself._client = docker.from_env()\nself._image_name = os.getenv('TESSIA_EXECUTOR_IMAGE')\nif not self._image_name:\n raise RuntimeError('Executor image not defined in environment variable TESSIA_EXECUTOR_IMAGE')\nself._compose_name = os.getenv('TESSIA_COMPOSE_NAME')\nif not self._image_name:\... | <|body_start_0|>
super().__init__()
self._client = docker.from_env()
self._image_name = os.getenv('TESSIA_EXECUTOR_IMAGE')
if not self._image_name:
raise RuntimeError('Executor image not defined in environment variable TESSIA_EXECUTOR_IMAGE')
self._compose_name = os.g... | Starts an executor by spawning a new container | ContainerSpawner | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContainerSpawner:
"""Starts an executor by spawning a new container"""
def __init__(self):
"""Constructor, creates logger instance and initialize connection to docker daemon."""
<|body_0|>
def spawn(self, job_args, environment=None):
"""Starts a job executing con... | stack_v2_sparse_classes_75kplus_train_068606 | 17,167 | permissive | [
{
"docstring": "Constructor, creates logger instance and initialize connection to docker daemon.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Starts a job executing container in a specified environment Args: job_args (dict): job arguments environment (dict): environ... | 4 | null | Implement the Python class `ContainerSpawner` described below.
Class description:
Starts an executor by spawning a new container
Method signatures and docstrings:
- def __init__(self): Constructor, creates logger instance and initialize connection to docker daemon.
- def spawn(self, job_args, environment=None): Start... | Implement the Python class `ContainerSpawner` described below.
Class description:
Starts an executor by spawning a new container
Method signatures and docstrings:
- def __init__(self): Constructor, creates logger instance and initialize connection to docker daemon.
- def spawn(self, job_args, environment=None): Start... | 9c9040f6a173af5c495f5447889e9349fa56f234 | <|skeleton|>
class ContainerSpawner:
"""Starts an executor by spawning a new container"""
def __init__(self):
"""Constructor, creates logger instance and initialize connection to docker daemon."""
<|body_0|>
def spawn(self, job_args, environment=None):
"""Starts a job executing con... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ContainerSpawner:
"""Starts an executor by spawning a new container"""
def __init__(self):
"""Constructor, creates logger instance and initialize connection to docker daemon."""
super().__init__()
self._client = docker.from_env()
self._image_name = os.getenv('TESSIA_EXECUT... | the_stack_v2_python_sparse | tessia/server/scheduler/spawner.py | tessia-project/tessia | train | 10 |
9c084d45991e103e762463e289f6b70cc90bb0ba | [
"if not head:\n return head\nslow, fast = (head, head)\nmeet = False\nwhile fast.next and fast.next.next:\n fast = fast.next.next\n slow = slow.next\n if slow == fast:\n meet = True\n break\nif not meet:\n return None\nelse:\n curr = head\n while curr != slow:\n curr = curr... | <|body_start_0|>
if not head:
return head
slow, fast = (head, head)
meet = False
while fast.next and fast.next.next:
fast = fast.next.next
slow = slow.next
if slow == fast:
meet = True
break
if not me... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def detectCycle_2(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head:
return hea... | stack_v2_sparse_classes_75kplus_train_068607 | 1,810 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "detectCycle",
"signature": "def detectCycle(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "detectCycle_2",
"signature": "def detectCycle_2(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015207 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head): :type head: ListNode :rtype: ListNode
- def detectCycle_2(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 detectCycle(self, head): :type head: ListNode :rtype: ListNode
- def detectCycle_2(self, head): :type head: ListNode :rtype: ListNode
<|skeleton|>
class Solution:
def d... | f2c4f727689567e00ee06560132fca55a6fd9286 | <|skeleton|>
class Solution:
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def detectCycle_2(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def detectCycle(self, head):
""":type head: ListNode :rtype: ListNode"""
if not head:
return head
slow, fast = (head, head)
meet = False
while fast.next and fast.next.next:
fast = fast.next.next
slow = slow.next
... | the_stack_v2_python_sparse | leetcode/142_Linked_List_Cycle II.py | JianxiangWang/python-journey | train | 1 | |
8554f0ed18dc9542f069b21fa01bc4ac1d25de26 | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('pt0713_silnuext', 'pt0713_silnuext')\nclient = sodapy.Socrata('data.mass.gov', None)\nresponse = client.get('x99p-b88k', limit=9787, offset=0)\ns = json.dumps(response, sort_keys=True, indent=2)\nrepo.dr... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('pt0713_silnuext', 'pt0713_silnuext')
client = sodapy.Socrata('data.mass.gov', None)
response = client.get('x99p-b88k', limit=9787, offset=0)
... | fld | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class fld:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happening... | stack_v2_sparse_classes_75kplus_train_068608 | 3,332 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | stack_v2_sparse_classes_30k_val_002439 | Implement the Python class `fld` described below.
Class description:
Implement the fld class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None): Create... | Implement the Python class `fld` described below.
Class description:
Implement the fld class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None): Create... | 41051ded77dfaeff98f02dcb7d3cfe7c9a0e5149 | <|skeleton|>
class fld:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happening... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class fld:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('pt0713_silnuext', 'pt0713_silnuext')
cl... | the_stack_v2_python_sparse | CS591DataMechanics/BostonCrimeAndHousingPriceAnalyzation/proj1/fld.py | sylvia0801/Undergrad-Projects | train | 1 | |
58b259c6faac4c66dd66b24101818afb6b4108a9 | [
"serv_obj = self.pool.get('fleet.service.type')\ndomain = category and [('category', '=', category)] or []\nvalues = {}\nser_name = serv_obj.search(cr, uid, domain)\nfor serv in serv_obj.browse(cr, uid, ser_name):\n values.update({serv.name: serv.name})\nif values:\n return {'domain': {'service_type': [('name... | <|body_start_0|>
serv_obj = self.pool.get('fleet.service.type')
domain = category and [('category', '=', category)] or []
values = {}
ser_name = serv_obj.search(cr, uid, domain)
for serv in serv_obj.browse(cr, uid, ser_name):
values.update({serv.name: serv.name})
... | To manage services reports | service_wiz | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class service_wiz:
"""To manage services reports"""
def onchange_cato(self, cr, uid, ids, category):
"""Get domain for service types according to category. @return: list of months"""
<|body_0|>
def print_report(self, cr, uid, ids, context=None):
"""Print report. @retur... | stack_v2_sparse_classes_75kplus_train_068609 | 2,746 | no_license | [
{
"docstring": "Get domain for service types according to category. @return: list of months",
"name": "onchange_cato",
"signature": "def onchange_cato(self, cr, uid, ids, category)"
},
{
"docstring": "Print report. @return: Dictionary of print attributes",
"name": "print_report",
"signat... | 2 | null | Implement the Python class `service_wiz` described below.
Class description:
To manage services reports
Method signatures and docstrings:
- def onchange_cato(self, cr, uid, ids, category): Get domain for service types according to category. @return: list of months
- def print_report(self, cr, uid, ids, context=None):... | Implement the Python class `service_wiz` described below.
Class description:
To manage services reports
Method signatures and docstrings:
- def onchange_cato(self, cr, uid, ids, category): Get domain for service types according to category. @return: list of months
- def print_report(self, cr, uid, ids, context=None):... | 0b997095c260d58b026440967fea3a202bef7efb | <|skeleton|>
class service_wiz:
"""To manage services reports"""
def onchange_cato(self, cr, uid, ids, category):
"""Get domain for service types according to category. @return: list of months"""
<|body_0|>
def print_report(self, cr, uid, ids, context=None):
"""Print report. @retur... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class service_wiz:
"""To manage services reports"""
def onchange_cato(self, cr, uid, ids, category):
"""Get domain for service types according to category. @return: list of months"""
serv_obj = self.pool.get('fleet.service.type')
domain = category and [('category', '=', category)] or []... | the_stack_v2_python_sparse | v_7/Dongola/admin_affairs/service/wizard/service_wizard.py | musabahmed/baba | train | 0 |
da354d43425298a978f3537801bdd2756246e767 | [
"user = create_user()\nsurvey = create_survey()\nsurvey.form_fields.create(key='field-1', label='First Form Field', field_type=RADIO_FIELD, choices='1,2,3,4,5')\npublish(survey, user)\nsubmission = {'field-1': '3'}\nself.client.force_authenticate(user=user)\nresponse = self.client.post(reverse('api:surveys-submissi... | <|body_start_0|>
user = create_user()
survey = create_survey()
survey.form_fields.create(key='field-1', label='First Form Field', field_type=RADIO_FIELD, choices='1,2,3,4,5')
publish(survey, user)
submission = {'field-1': '3'}
self.client.force_authenticate(user=user)
... | CoachSurveyAPITest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CoachSurveyAPITest:
def test_basic_submit(self):
"""Test that a submission can be received"""
<|body_0|>
def test_current_after_registration_days_none_available(self):
"""Test that a survey is kept from the user before the specified number of days after registration ... | stack_v2_sparse_classes_75kplus_train_068610 | 19,399 | no_license | [
{
"docstring": "Test that a submission can be received",
"name": "test_basic_submit",
"signature": "def test_basic_submit(self)"
},
{
"docstring": "Test that a survey is kept from the user before the specified number of days after registration has passed.",
"name": "test_current_after_regist... | 6 | stack_v2_sparse_classes_30k_train_021437 | Implement the Python class `CoachSurveyAPITest` described below.
Class description:
Implement the CoachSurveyAPITest class.
Method signatures and docstrings:
- def test_basic_submit(self): Test that a submission can be received
- def test_current_after_registration_days_none_available(self): Test that a survey is kep... | Implement the Python class `CoachSurveyAPITest` described below.
Class description:
Implement the CoachSurveyAPITest class.
Method signatures and docstrings:
- def test_basic_submit(self): Test that a submission can be received
- def test_current_after_registration_days_none_available(self): Test that a survey is kep... | f1af2d84cff2c5ba242e6330256344c02deea726 | <|skeleton|>
class CoachSurveyAPITest:
def test_basic_submit(self):
"""Test that a submission can be received"""
<|body_0|>
def test_current_after_registration_days_none_available(self):
"""Test that a survey is kept from the user before the specified number of days after registration ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CoachSurveyAPITest:
def test_basic_submit(self):
"""Test that a submission can be received"""
user = create_user()
survey = create_survey()
survey.form_fields.create(key='field-1', label='First Form Field', field_type=RADIO_FIELD, choices='1,2,3,4,5')
publish(survey, us... | the_stack_v2_python_sparse | survey/tests.py | praekeltfoundation/gem-bbb-indo-server | train | 0 | |
05564c351a89e02d8ca61a17578df2a66017d861 | [
"assert isinstance(encoder, ITransfrom), 'Invalid property encoder %s' % encoder\nassert isinstance(elements, list), 'Invalid elements %s' % elements\nassert isinstance(isModel, bool), 'Invalid is model flag %s' % isModel\nself.encoder = encoder\nself.elements = elements\nself.isModel = isModel",
"assert isinstan... | <|body_start_0|>
assert isinstance(encoder, ITransfrom), 'Invalid property encoder %s' % encoder
assert isinstance(elements, list), 'Invalid elements %s' % elements
assert isinstance(isModel, bool), 'Invalid is model flag %s' % isModel
self.encoder = encoder
self.elements = eleme... | Implementation for a @see: ITransfrom that updates the path before encoding . | EncoderPathUpdater | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderPathUpdater:
"""Implementation for a @see: ITransfrom that updates the path before encoding ."""
def __init__(self, encoder, elements, isModel):
"""Construct the path updater."""
<|body_0|>
def transform(self, value, target, support):
"""@see: ITransfrom.t... | stack_v2_sparse_classes_75kplus_train_068611 | 5,809 | no_license | [
{
"docstring": "Construct the path updater.",
"name": "__init__",
"signature": "def __init__(self, encoder, elements, isModel)"
},
{
"docstring": "@see: ITransfrom.transform",
"name": "transform",
"signature": "def transform(self, value, target, support)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034108 | Implement the Python class `EncoderPathUpdater` described below.
Class description:
Implementation for a @see: ITransfrom that updates the path before encoding .
Method signatures and docstrings:
- def __init__(self, encoder, elements, isModel): Construct the path updater.
- def transform(self, value, target, support... | Implement the Python class `EncoderPathUpdater` described below.
Class description:
Implementation for a @see: ITransfrom that updates the path before encoding .
Method signatures and docstrings:
- def __init__(self, encoder, elements, isModel): Construct the path updater.
- def transform(self, value, target, support... | e0b3466b34d31548996d57be4a9dac134d904380 | <|skeleton|>
class EncoderPathUpdater:
"""Implementation for a @see: ITransfrom that updates the path before encoding ."""
def __init__(self, encoder, elements, isModel):
"""Construct the path updater."""
<|body_0|>
def transform(self, value, target, support):
"""@see: ITransfrom.t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncoderPathUpdater:
"""Implementation for a @see: ITransfrom that updates the path before encoding ."""
def __init__(self, encoder, elements, isModel):
"""Construct the path updater."""
assert isinstance(encoder, ITransfrom), 'Invalid property encoder %s' % encoder
assert isinstan... | the_stack_v2_python_sparse | components/ally-core-http/ally/core/http/impl/processor/encoder/path_support.py | cristidomsa/Ally-Py | train | 0 |
90ea601806ef2632c534d1d4a5df84a6c3c78308 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn WindowsInformationProtectionAppLearningSummary()",
"from .application_type import ApplicationType\nfrom .entity import Entity\nfrom .application_type import ApplicationType\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any],... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return WindowsInformationProtectionAppLearningSummary()
<|end_body_0|>
<|body_start_1|>
from .application_type import ApplicationType
from .entity import Entity
from .application_type i... | Windows Information Protection AppLearning Summary entity. | WindowsInformationProtectionAppLearningSummary | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsInformationProtectionAppLearningSummary:
"""Windows Information Protection AppLearning Summary entity."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsInformationProtectionAppLearningSummary:
"""Creates a new instance of the appropriate c... | stack_v2_sparse_classes_75kplus_train_068612 | 2,829 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: WindowsInformationProtectionAppLearningSummary",
"name": "create_from_discriminator_value",
"signature": "de... | 3 | null | Implement the Python class `WindowsInformationProtectionAppLearningSummary` described below.
Class description:
Windows Information Protection AppLearning Summary entity.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsInformationProtectionAppLea... | Implement the Python class `WindowsInformationProtectionAppLearningSummary` described below.
Class description:
Windows Information Protection AppLearning Summary entity.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsInformationProtectionAppLea... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class WindowsInformationProtectionAppLearningSummary:
"""Windows Information Protection AppLearning Summary entity."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsInformationProtectionAppLearningSummary:
"""Creates a new instance of the appropriate c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WindowsInformationProtectionAppLearningSummary:
"""Windows Information Protection AppLearning Summary entity."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsInformationProtectionAppLearningSummary:
"""Creates a new instance of the appropriate class based on... | the_stack_v2_python_sparse | msgraph/generated/models/windows_information_protection_app_learning_summary.py | microsoftgraph/msgraph-sdk-python | train | 135 |
9838acaf9191e34cd5814edc3f9e10548000e3e1 | [
"import operator\nlookups = []\nfor frequency, name in FREQUENCY_CHOICES:\n time = datetime.now() - timedelta(seconds=frequency)\n lookups.append(models.Q(frequency=frequency, last_sent_time__lte=time))\nreturn self.filter(reduce(operator.or_, lookups))",
"feed_cache = {}\nfor subscription in self.due():\n ... | <|body_start_0|>
import operator
lookups = []
for frequency, name in FREQUENCY_CHOICES:
time = datetime.now() - timedelta(seconds=frequency)
lookups.append(models.Q(frequency=frequency, last_sent_time__lte=time))
return self.filter(reduce(operator.or_, lookups))
<... | SubscriptionManager | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubscriptionManager:
def due(self):
"""Returns a queryset of all ``Subcription`` objects that are due to be sent."""
<|body_0|>
def send_due(self, fail_silently=True):
"""Sends an alerts to each user who has a due ``Subscription`` if there are new items for their sub... | stack_v2_sparse_classes_75kplus_train_068613 | 6,918 | permissive | [
{
"docstring": "Returns a queryset of all ``Subcription`` objects that are due to be sent.",
"name": "due",
"signature": "def due(self)"
},
{
"docstring": "Sends an alerts to each user who has a due ``Subscription`` if there are new items for their subscription. *NOTE*: This can potentially take... | 2 | stack_v2_sparse_classes_30k_train_004700 | Implement the Python class `SubscriptionManager` described below.
Class description:
Implement the SubscriptionManager class.
Method signatures and docstrings:
- def due(self): Returns a queryset of all ``Subcription`` objects that are due to be sent.
- def send_due(self, fail_silently=True): Sends an alerts to each ... | Implement the Python class `SubscriptionManager` described below.
Class description:
Implement the SubscriptionManager class.
Method signatures and docstrings:
- def due(self): Returns a queryset of all ``Subcription`` objects that are due to be sent.
- def send_due(self, fail_silently=True): Sends an alerts to each ... | d07094f9d6b2528d282ed99af0063002480bc00b | <|skeleton|>
class SubscriptionManager:
def due(self):
"""Returns a queryset of all ``Subcription`` objects that are due to be sent."""
<|body_0|>
def send_due(self, fail_silently=True):
"""Sends an alerts to each user who has a due ``Subscription`` if there are new items for their sub... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubscriptionManager:
def due(self):
"""Returns a queryset of all ``Subcription`` objects that are due to be sent."""
import operator
lookups = []
for frequency, name in FREQUENCY_CHOICES:
time = datetime.now() - timedelta(seconds=frequency)
lookups.appen... | the_stack_v2_python_sparse | populous/alerts/models.py | caiges/populous | train | 2 | |
ff23ce6e378b65dcf0a3864393dc22f86a7da7e0 | [
"if request.user.username == 'Admin':\n question = request.data['question']\n answer = request.data['answer']\n order = FAQ.objects.all().order_by('-order').first().order\n FAQ.objects.create(question=question, answer=answer, view=0, order=order + 1)\n return Response(data={'FAQ 추가 완료!'}, status=stat... | <|body_start_0|>
if request.user.username == 'Admin':
question = request.data['question']
answer = request.data['answer']
order = FAQ.objects.all().order_by('-order').first().order
FAQ.objects.create(question=question, answer=answer, view=0, order=order + 1)
... | FAQManagementViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FAQManagementViewSet:
def add_faq(self, request):
"""FAQ 추가 [admin token required]"""
<|body_0|>
def delete_faq(self, request):
"""FAQ 삭제 [admin token required] : 특정 FAQ 삭제"""
<|body_1|>
def update_faq(self, request):
"""FAQ 질문 or 답변 업데이트 [admin ... | stack_v2_sparse_classes_75kplus_train_068614 | 35,811 | no_license | [
{
"docstring": "FAQ 추가 [admin token required]",
"name": "add_faq",
"signature": "def add_faq(self, request)"
},
{
"docstring": "FAQ 삭제 [admin token required] : 특정 FAQ 삭제",
"name": "delete_faq",
"signature": "def delete_faq(self, request)"
},
{
"docstring": "FAQ 질문 or 답변 업데이트 [adm... | 4 | stack_v2_sparse_classes_30k_train_024004 | Implement the Python class `FAQManagementViewSet` described below.
Class description:
Implement the FAQManagementViewSet class.
Method signatures and docstrings:
- def add_faq(self, request): FAQ 추가 [admin token required]
- def delete_faq(self, request): FAQ 삭제 [admin token required] : 특정 FAQ 삭제
- def update_faq(self... | Implement the Python class `FAQManagementViewSet` described below.
Class description:
Implement the FAQManagementViewSet class.
Method signatures and docstrings:
- def add_faq(self, request): FAQ 추가 [admin token required]
- def delete_faq(self, request): FAQ 삭제 [admin token required] : 특정 FAQ 삭제
- def update_faq(self... | bcc955bddd9941f2bc54f7577c26c1ddc6b36a48 | <|skeleton|>
class FAQManagementViewSet:
def add_faq(self, request):
"""FAQ 추가 [admin token required]"""
<|body_0|>
def delete_faq(self, request):
"""FAQ 삭제 [admin token required] : 특정 FAQ 삭제"""
<|body_1|>
def update_faq(self, request):
"""FAQ 질문 or 답변 업데이트 [admin ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FAQManagementViewSet:
def add_faq(self, request):
"""FAQ 추가 [admin token required]"""
if request.user.username == 'Admin':
question = request.data['question']
answer = request.data['answer']
order = FAQ.objects.all().order_by('-order').first().order
... | the_stack_v2_python_sparse | admin_page/views.py | bgy1060/Daily_Project | train | 1 | |
f61b5f4d60bdc36754b30f7c4c836fe2e0398117 | [
"result_particles = []\nnd_timestamp, non_data, non_start, non_end = self._chunker.get_next_non_data_with_index(clean=False)\ntimestamp, chunk, start, end = self._chunker.get_next_data_with_index()\nself.handle_non_data(non_data, non_end, start)\nwhile chunk is not None:\n header_match = SIO_HEADER_MATCHER.match... | <|body_start_0|>
result_particles = []
nd_timestamp, non_data, non_start, non_end = self._chunker.get_next_non_data_with_index(clean=False)
timestamp, chunk, start, end = self._chunker.get_next_data_with_index()
self.handle_non_data(non_data, non_end, start)
while chunk is not No... | FlortDjSioParser | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlortDjSioParser:
def parse_chunks(self):
"""Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle, update the position and timestamp. Go until the chunker has no more valid data. @retval a list of tuples with sample particles encountered in this... | stack_v2_sparse_classes_75kplus_train_068615 | 9,506 | permissive | [
{
"docstring": "Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle, update the position and timestamp. Go until the chunker has no more valid data. @retval a list of tuples with sample particles encountered in this parsing, plus the state. An empty list of nothing wa... | 2 | stack_v2_sparse_classes_30k_train_030128 | Implement the Python class `FlortDjSioParser` described below.
Class description:
Implement the FlortDjSioParser class.
Method signatures and docstrings:
- def parse_chunks(self): Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle, update the position and timestamp. Go unt... | Implement the Python class `FlortDjSioParser` described below.
Class description:
Implement the FlortDjSioParser class.
Method signatures and docstrings:
- def parse_chunks(self): Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle, update the position and timestamp. Go unt... | bdbf01f5614e7188ce19596704794466e5683b30 | <|skeleton|>
class FlortDjSioParser:
def parse_chunks(self):
"""Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle, update the position and timestamp. Go until the chunker has no more valid data. @retval a list of tuples with sample particles encountered in this... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlortDjSioParser:
def parse_chunks(self):
"""Parse out any pending data chunks in the chunker. If it is a valid data piece, build a particle, update the position and timestamp. Go until the chunker has no more valid data. @retval a list of tuples with sample particles encountered in this parsing, plus... | the_stack_v2_python_sparse | mi/dataset/parser/flort_dj_sio.py | oceanobservatories/mi-instrument | train | 1 | |
0caff98b6af102045370af991e6c95337cbdd080 | [
"rospy.loginfo('Initializing NotePublisher')\nself.publisher = rospy.Publisher('baxter_artist_notes', baxter_artist.msg.Note, queue_size=QUEUE_SIZE)\nrospy.loginfo('Sleeping...')\nrospy.sleep(5)",
"msg = baxter_artist.msg.Note()\nmsg.starttime = starttime\nmsg.pitch = pitch\nrospy.loginfo('publish - pitch: ' + st... | <|body_start_0|>
rospy.loginfo('Initializing NotePublisher')
self.publisher = rospy.Publisher('baxter_artist_notes', baxter_artist.msg.Note, queue_size=QUEUE_SIZE)
rospy.loginfo('Sleeping...')
rospy.sleep(5)
<|end_body_0|>
<|body_start_1|>
msg = baxter_artist.msg.Note()
... | Publish notes to the baxter_artist_notes rostopic | NotePublisher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NotePublisher:
"""Publish notes to the baxter_artist_notes rostopic"""
def __init__(self):
"""Initialize a NotePublisher"""
<|body_0|>
def pub_note(self, pitch, starttime):
"""Publish a note to the rostopic Args: pitch (int): the pitch of the note to play startti... | stack_v2_sparse_classes_75kplus_train_068616 | 1,900 | permissive | [
{
"docstring": "Initialize a NotePublisher",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Publish a note to the rostopic Args: pitch (int): the pitch of the note to play starttime (rospy.Time): when the note should be played.",
"name": "pub_note",
"signature":... | 3 | null | Implement the Python class `NotePublisher` described below.
Class description:
Publish notes to the baxter_artist_notes rostopic
Method signatures and docstrings:
- def __init__(self): Initialize a NotePublisher
- def pub_note(self, pitch, starttime): Publish a note to the rostopic Args: pitch (int): the pitch of the... | Implement the Python class `NotePublisher` described below.
Class description:
Publish notes to the baxter_artist_notes rostopic
Method signatures and docstrings:
- def __init__(self): Initialize a NotePublisher
- def pub_note(self, pitch, starttime): Publish a note to the rostopic Args: pitch (int): the pitch of the... | a4c95faefc964c147807dffccf55e7d7a5c58bb0 | <|skeleton|>
class NotePublisher:
"""Publish notes to the baxter_artist_notes rostopic"""
def __init__(self):
"""Initialize a NotePublisher"""
<|body_0|>
def pub_note(self, pitch, starttime):
"""Publish a note to the rostopic Args: pitch (int): the pitch of the note to play startti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NotePublisher:
"""Publish notes to the baxter_artist_notes rostopic"""
def __init__(self):
"""Initialize a NotePublisher"""
rospy.loginfo('Initializing NotePublisher')
self.publisher = rospy.Publisher('baxter_artist_notes', baxter_artist.msg.Note, queue_size=QUEUE_SIZE)
ro... | the_stack_v2_python_sparse | src/artist_performer/publisher.py | jasonsbrooks/ARTIST | train | 0 |
d82dbe7c7573089296df82cb748bea89cc42ef6a | [
"author = request.GET.get('author')\nif 'sub' in request.GET:\n get_object_or_404(Subscription.objects.select_related('author'), user=request.user, author__username=author).delete()\nelse:\n self.post(request, author)\nreturn redirect('author_url', username=author)",
"author = get_author(request, author)\nu... | <|body_start_0|>
author = request.GET.get('author')
if 'sub' in request.GET:
get_object_or_404(Subscription.objects.select_related('author'), user=request.user, author__username=author).delete()
else:
self.post(request, author)
return redirect('author_url', userna... | Subscriptions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Subscriptions:
def get(self, request):
"""Так как специалисты по фронтенду сделали на разных страницах обсолютно по разному обработку одного и тогоже действия пришлось немного закостылить, чтобы не повторяться."""
<|body_0|>
def post(self, request, author=None):
"""С... | stack_v2_sparse_classes_75kplus_train_068617 | 7,041 | no_license | [
{
"docstring": "Так как специалисты по фронтенду сделали на разных страницах обсолютно по разному обработку одного и тогоже действия пришлось немного закостылить, чтобы не повторяться.",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Создание подписки на автора если ее е... | 3 | stack_v2_sparse_classes_30k_train_019480 | Implement the Python class `Subscriptions` described below.
Class description:
Implement the Subscriptions class.
Method signatures and docstrings:
- def get(self, request): Так как специалисты по фронтенду сделали на разных страницах обсолютно по разному обработку одного и тогоже действия пришлось немного закостылит... | Implement the Python class `Subscriptions` described below.
Class description:
Implement the Subscriptions class.
Method signatures and docstrings:
- def get(self, request): Так как специалисты по фронтенду сделали на разных страницах обсолютно по разному обработку одного и тогоже действия пришлось немного закостылит... | dba6f5daf5b046a900f6e8c4b295b919aa03ed43 | <|skeleton|>
class Subscriptions:
def get(self, request):
"""Так как специалисты по фронтенду сделали на разных страницах обсолютно по разному обработку одного и тогоже действия пришлось немного закостылить, чтобы не повторяться."""
<|body_0|>
def post(self, request, author=None):
"""С... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Subscriptions:
def get(self, request):
"""Так как специалисты по фронтенду сделали на разных страницах обсолютно по разному обработку одного и тогоже действия пришлось немного закостылить, чтобы не повторяться."""
author = request.GET.get('author')
if 'sub' in request.GET:
... | the_stack_v2_python_sparse | recipes/views.py | zYoma/foodgram-project | train | 0 | |
e6c1db56f8a2e134896c17f833fc5d42da49ab27 | [
"super().__init__()\nself.modes_to_measure = _np.arange(1, self.HARM_NUM // 2 + 1)\nself.drive_num = 0\nself.wait_acquisition = 1\nself.wait_pv_update = 0\nself.fitting_clearance_ini = 0\nself.fitting_clearance_fin = 100\nself.fitting_consider_offset = True",
"dtmp = '{0:24s} = {1:9d}\\n'.format\nftmp = '{0:24s} ... | <|body_start_0|>
super().__init__()
self.modes_to_measure = _np.arange(1, self.HARM_NUM // 2 + 1)
self.drive_num = 0
self.wait_acquisition = 1
self.wait_pv_update = 0
self.fitting_clearance_ini = 0
self.fitting_clearance_fin = 100
self.fitting_consider_off... | . | DriveDampLParams | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DriveDampLParams:
"""."""
def __init__(self):
"""."""
<|body_0|>
def __str__(self):
"""."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__()
self.modes_to_measure = _np.arange(1, self.HARM_NUM // 2 + 1)
self.drive_... | stack_v2_sparse_classes_75kplus_train_068618 | 45,488 | permissive | [
{
"docstring": ".",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ".",
"name": "__str__",
"signature": "def __str__(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_024762 | Implement the Python class `DriveDampLParams` described below.
Class description:
.
Method signatures and docstrings:
- def __init__(self): .
- def __str__(self): . | Implement the Python class `DriveDampLParams` described below.
Class description:
.
Method signatures and docstrings:
- def __init__(self): .
- def __str__(self): .
<|skeleton|>
class DriveDampLParams:
"""."""
def __init__(self):
"""."""
<|body_0|>
def __str__(self):
"""."""
... | 39644161d98964a3a3d80d63269201f0a1712e82 | <|skeleton|>
class DriveDampLParams:
"""."""
def __init__(self):
"""."""
<|body_0|>
def __str__(self):
"""."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DriveDampLParams:
"""."""
def __init__(self):
"""."""
super().__init__()
self.modes_to_measure = _np.arange(1, self.HARM_NUM // 2 + 1)
self.drive_num = 0
self.wait_acquisition = 1
self.wait_pv_update = 0
self.fitting_clearance_ini = 0
self.f... | the_stack_v2_python_sparse | apsuite/commisslib/measure_bbb_data.py | lnls-fac/apsuite | train | 1 |
9df01b0390c3487feac2b607c62fb261a667e75f | [
"if self.auth_type == 'open':\n self.logger.info('{0}/names.nsf does not require authentication'.format(self.url))\nelse:\n usernames = self.build_userlist(userlist)\n valid_accounts = self.brute_accounts(usernames)\n print('\\n')\n if valid_accounts:\n self.logger.info('Found {0} valid {1}'.f... | <|body_start_0|>
if self.auth_type == 'open':
self.logger.info('{0}/names.nsf does not require authentication'.format(self.url))
else:
usernames = self.build_userlist(userlist)
valid_accounts = self.brute_accounts(usernames)
print('\n')
if vali... | BruteForce | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BruteForce:
def bruteforce(self, userlist):
"""Perform a reverse brute force attack with multiple usernames and one password."""
<|body_0|>
def build_userlist(self, userlist):
"""Build a list of usernames from the user supplied wordlist."""
<|body_1|>
de... | stack_v2_sparse_classes_75kplus_train_068619 | 3,450 | permissive | [
{
"docstring": "Perform a reverse brute force attack with multiple usernames and one password.",
"name": "bruteforce",
"signature": "def bruteforce(self, userlist)"
},
{
"docstring": "Build a list of usernames from the user supplied wordlist.",
"name": "build_userlist",
"signature": "def... | 3 | stack_v2_sparse_classes_30k_train_006975 | Implement the Python class `BruteForce` described below.
Class description:
Implement the BruteForce class.
Method signatures and docstrings:
- def bruteforce(self, userlist): Perform a reverse brute force attack with multiple usernames and one password.
- def build_userlist(self, userlist): Build a list of usernames... | Implement the Python class `BruteForce` described below.
Class description:
Implement the BruteForce class.
Method signatures and docstrings:
- def bruteforce(self, userlist): Perform a reverse brute force attack with multiple usernames and one password.
- def build_userlist(self, userlist): Build a list of usernames... | da7831cf4cd1578dce4c10707afe4172622b90c9 | <|skeleton|>
class BruteForce:
def bruteforce(self, userlist):
"""Perform a reverse brute force attack with multiple usernames and one password."""
<|body_0|>
def build_userlist(self, userlist):
"""Build a list of usernames from the user supplied wordlist."""
<|body_1|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BruteForce:
def bruteforce(self, userlist):
"""Perform a reverse brute force attack with multiple usernames and one password."""
if self.auth_type == 'open':
self.logger.info('{0}/names.nsf does not require authentication'.format(self.url))
else:
usernames = sel... | the_stack_v2_python_sparse | domi_owned/bruteforce.py | JnTournier/domi-owned | train | 1 | |
1a46db908b47d7c6395d88b40c228d52ec521b2d | [
"kw = super(ProjectEventView, self).get_form_kwargs()\nkw.update({'organization': self.request.user.organization})\nreturn kw",
"context = super(ProjectEventView, self).get_context_data(**kwargs)\nproject = get_object_or_404(Project, id=self.kwargs['pk'])\nevents = project.event_set.all()\nreporting_ct = project.... | <|body_start_0|>
kw = super(ProjectEventView, self).get_form_kwargs()
kw.update({'organization': self.request.user.organization})
return kw
<|end_body_0|>
<|body_start_1|>
context = super(ProjectEventView, self).get_context_data(**kwargs)
project = get_object_or_404(Project, id=... | Display all the events associated with a project. | ProjectEventView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectEventView:
"""Display all the events associated with a project."""
def get_form_kwargs(self):
"""Pass organization to form."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Return events belonging to the project."""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_75kplus_train_068620 | 12,378 | permissive | [
{
"docstring": "Pass organization to form.",
"name": "get_form_kwargs",
"signature": "def get_form_kwargs(self)"
},
{
"docstring": "Return events belonging to the project.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_val_002906 | Implement the Python class `ProjectEventView` described below.
Class description:
Display all the events associated with a project.
Method signatures and docstrings:
- def get_form_kwargs(self): Pass organization to form.
- def get_context_data(self, **kwargs): Return events belonging to the project. | Implement the Python class `ProjectEventView` described below.
Class description:
Display all the events associated with a project.
Method signatures and docstrings:
- def get_form_kwargs(self): Pass organization to form.
- def get_context_data(self, **kwargs): Return events belonging to the project.
<|skeleton|>
cl... | dc6bc79d450f7e2bdf59cfbcd306d05a736e4db9 | <|skeleton|>
class ProjectEventView:
"""Display all the events associated with a project."""
def get_form_kwargs(self):
"""Pass organization to form."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Return events belonging to the project."""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectEventView:
"""Display all the events associated with a project."""
def get_form_kwargs(self):
"""Pass organization to form."""
kw = super(ProjectEventView, self).get_form_kwargs()
kw.update({'organization': self.request.user.organization})
return kw
def get_con... | the_stack_v2_python_sparse | project/editorial/views/events.py | ProjectFacet/facet | train | 25 |
605363fec6f05317d023c7680a9dd2642346ce63 | [
"try:\n cluster_info = settings.GANETI_CLUSTER_INFO\nexcept (AttributeError, ImportError):\n return\nip, port, username, password = cluster_info\nbackend = orm.Backend.objects.create(clustername=ip, port=port, username=username, password=password)\nfor vm in orm.VirtualMachine.objects.all():\n vm.backend =... | <|body_start_0|>
try:
cluster_info = settings.GANETI_CLUSTER_INFO
except (AttributeError, ImportError):
return
ip, port, username, password = cluster_info
backend = orm.Backend.objects.create(clustername=ip, port=port, username=username, password=password)
... | Migration | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Migration:
def forwards(self, orm):
"""Write your forwards methods here."""
<|body_0|>
def backwards(self, orm):
"""Write your backwards methods here."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
cluster_info = settings.GANETI_CL... | stack_v2_sparse_classes_75kplus_train_068621 | 9,034 | permissive | [
{
"docstring": "Write your forwards methods here.",
"name": "forwards",
"signature": "def forwards(self, orm)"
},
{
"docstring": "Write your backwards methods here.",
"name": "backwards",
"signature": "def backwards(self, orm)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019826 | Implement the Python class `Migration` described below.
Class description:
Implement the Migration class.
Method signatures and docstrings:
- def forwards(self, orm): Write your forwards methods here.
- def backwards(self, orm): Write your backwards methods here. | Implement the Python class `Migration` described below.
Class description:
Implement the Migration class.
Method signatures and docstrings:
- def forwards(self, orm): Write your forwards methods here.
- def backwards(self, orm): Write your backwards methods here.
<|skeleton|>
class Migration:
def forwards(self,... | 11e79c1c2add88c1e3dbe51e2915fb1bddd1bbf1 | <|skeleton|>
class Migration:
def forwards(self, orm):
"""Write your forwards methods here."""
<|body_0|>
def backwards(self, orm):
"""Write your backwards methods here."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Migration:
def forwards(self, orm):
"""Write your forwards methods here."""
try:
cluster_info = settings.GANETI_CLUSTER_INFO
except (AttributeError, ImportError):
return
ip, port, username, password = cluster_info
backend = orm.Backend.objects.cr... | the_stack_v2_python_sparse | snf-cyclades-app/synnefo/db/migrations/0035_default_backend.py | dimara/synnefo | train | 0 | |
170403e15747dc8bfaa2c7e663561e369b0ad954 | [
"GalkinModel.__init__(self, kwargs_model, kwargs_cosmo, kwargs_numerics=kwargs_numerics, analytic_kinematics=analytic_kinematics)\nself._observation_list = []\nself._num_observations = len(kwargs_aperture_list)\nfor i in range(self._num_observations):\n self._observation_list.append(GalkinObservation(kwargs_aper... | <|body_start_0|>
GalkinModel.__init__(self, kwargs_model, kwargs_cosmo, kwargs_numerics=kwargs_numerics, analytic_kinematics=analytic_kinematics)
self._observation_list = []
self._num_observations = len(kwargs_aperture_list)
for i in range(self._num_observations):
self._obser... | class to efficiently model the velocity dispersion measurement of a set of different observations with individual apertures and seeing conditions for a given lens The main difference to the Galkin main class is that it feeds in list of observational settings. Does not work with IFU observations (yet) | GalkinMultiObservation | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GalkinMultiObservation:
"""class to efficiently model the velocity dispersion measurement of a set of different observations with individual apertures and seeing conditions for a given lens The main difference to the Galkin main class is that it feeds in list of observational settings. Does not w... | stack_v2_sparse_classes_75kplus_train_068622 | 3,833 | permissive | [
{
"docstring": ":param kwargs_model: keyword arguments describing the model components :param kwargs_aperture_list: list of keyword arguments describing the spectroscopic aperture, see Aperture() class :param kwargs_psf_list: list of keyword argument specifying the PSF of the observation :param kwargs_cosmo: ke... | 2 | null | Implement the Python class `GalkinMultiObservation` described below.
Class description:
class to efficiently model the velocity dispersion measurement of a set of different observations with individual apertures and seeing conditions for a given lens The main difference to the Galkin main class is that it feeds in lis... | Implement the Python class `GalkinMultiObservation` described below.
Class description:
class to efficiently model the velocity dispersion measurement of a set of different observations with individual apertures and seeing conditions for a given lens The main difference to the Galkin main class is that it feeds in lis... | 73c9645f26f6983fe7961104075ebe8bf7a4b54c | <|skeleton|>
class GalkinMultiObservation:
"""class to efficiently model the velocity dispersion measurement of a set of different observations with individual apertures and seeing conditions for a given lens The main difference to the Galkin main class is that it feeds in list of observational settings. Does not w... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GalkinMultiObservation:
"""class to efficiently model the velocity dispersion measurement of a set of different observations with individual apertures and seeing conditions for a given lens The main difference to the Galkin main class is that it feeds in list of observational settings. Does not work with IFU ... | the_stack_v2_python_sparse | lenstronomy/GalKin/galkin_multiobservation.py | lenstronomy/lenstronomy | train | 41 |
7c750af997f3f9f78313860ccdef6d58f44dc5b0 | [
"self.c = capacity\nself.h = {}\nself.q = []",
"rt = self.h.get(key)\nif rt:\n self.q.remove(key)\n self.q.append(key)\n return rt\nelse:\n return -1",
"occupied = self.h.get(key)\nif occupied:\n self.h[key] = value\n self.q.remove(key)\n self.q.append(key)\nelse:\n if len(self.h.keys())... | <|body_start_0|>
self.c = capacity
self.h = {}
self.q = []
<|end_body_0|>
<|body_start_1|>
rt = self.h.get(key)
if rt:
self.q.remove(key)
self.q.append(key)
return rt
else:
return -1
<|end_body_1|>
<|body_start_2|>
... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":rtype: int"""
<|body_1|>
def set(self, key, value):
""":type key: int :type value: int :rtype: nothing"""
<|body_2|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_75kplus_train_068623 | 1,404 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: nothing",
"name": "set",
"sig... | 3 | stack_v2_sparse_classes_30k_train_041358 | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: int
- def set(self, key, value): :type key: int :type value: int :rtype: nothing | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: int
- def set(self, key, value): :type key: int :type value: int :rtype: nothing
<|skeleton|>
cla... | a755bd7ecc0a9642f4009eb0681a14b0c05d3bc4 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":rtype: int"""
<|body_1|>
def set(self, key, value):
""":type key: int :type value: int :rtype: nothing"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.c = capacity
self.h = {}
self.q = []
def get(self, key):
""":rtype: int"""
rt = self.h.get(key)
if rt:
self.q.remove(key)
self.q.append(key)
r... | the_stack_v2_python_sparse | python_projects/LRU_Cache.py | burgesschentz/AlgorithmProjects | train | 0 | |
92cdcabd82b1879c52261ba887362c1c4e63a9d2 | [
"super(CustomBatchNormManualModule, self).__init__()\nself.n_neurons = n_neurons\nself.gamma = nn.Parameter(torch.ones(n_neurons))\nself.beta = nn.Parameter(torch.zeros(n_neurons))\nself.eps = eps",
"if not input.shape[1] == self.n_neurons:\n raise Exception('Input size is not correct. Input is {}, while it wa... | <|body_start_0|>
super(CustomBatchNormManualModule, self).__init__()
self.n_neurons = n_neurons
self.gamma = nn.Parameter(torch.ones(n_neurons))
self.beta = nn.Parameter(torch.zeros(n_neurons))
self.eps = eps
<|end_body_0|>
<|body_start_1|>
if not input.shape[1] == self.... | This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backward pass. | CustomBatchNormManualModule | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomBatchNormManualModule:
"""This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backw... | stack_v2_sparse_classes_75kplus_train_068624 | 11,418 | no_license | [
{
"docstring": "Initializes CustomBatchNormManualModule object. Args: n_neurons: int specifying the number of neurons eps: small float to be added to the variance for stability TODO: Save parameters for the number of neurons and eps. Initialize parameters gamma and beta via nn.Parameter",
"name": "__init__"... | 2 | stack_v2_sparse_classes_30k_train_021624 | Implement the Python class `CustomBatchNormManualModule` described below.
Class description:
This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backwa... | Implement the Python class `CustomBatchNormManualModule` described below.
Class description:
This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backwa... | c50b7d208baa441e8ee9e12c83b018320213af67 | <|skeleton|>
class CustomBatchNormManualModule:
"""This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backw... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CustomBatchNormManualModule:
"""This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backward pass."""
... | the_stack_v2_python_sparse | assignment_1/code/custom_batchnorm.py | YoniSchirris/dl | train | 1 |
a35d7839dde88420998d37a6ba5430e50646e019 | [
"try:\n print('收到修改个人信息请求')\n body = json.loads(self.request.body)\n self.sqlhandler = None\n self.teaUid = body['teaUid']\n self.teaPassword = body['teaPassword']\n self.teaName = body['teaName']\n self.teaSex = body['teaSex']\n self.teaAge = body['teaAge']\n self.teaPhoneNumber = body['... | <|body_start_0|>
try:
print('收到修改个人信息请求')
body = json.loads(self.request.body)
self.sqlhandler = None
self.teaUid = body['teaUid']
self.teaPassword = body['teaPassword']
self.teaName = body['teaName']
self.teaSex = body['teaSex'... | TeaSetInfoRequestHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeaSetInfoRequestHandler:
def post(self):
"""获取修改的数据，写入到数据库 不允许修改用户名，不允许修改班级"""
<|body_0|>
def SetTeaInfo(self):
"""给学生设置个人信息"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
print('收到修改个人信息请求')
body = json.loads(self.req... | stack_v2_sparse_classes_75kplus_train_068625 | 2,411 | no_license | [
{
"docstring": "获取修改的数据，写入到数据库 不允许修改用户名，不允许修改班级",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "给学生设置个人信息",
"name": "SetTeaInfo",
"signature": "def SetTeaInfo(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_002353 | Implement the Python class `TeaSetInfoRequestHandler` described below.
Class description:
Implement the TeaSetInfoRequestHandler class.
Method signatures and docstrings:
- def post(self): 获取修改的数据，写入到数据库 不允许修改用户名，不允许修改班级
- def SetTeaInfo(self): 给学生设置个人信息 | Implement the Python class `TeaSetInfoRequestHandler` described below.
Class description:
Implement the TeaSetInfoRequestHandler class.
Method signatures and docstrings:
- def post(self): 获取修改的数据，写入到数据库 不允许修改用户名，不允许修改班级
- def SetTeaInfo(self): 给学生设置个人信息
<|skeleton|>
class TeaSetInfoRequestHandler:
def post(self... | b28eb4163b02bd0a931653b94851592f2654b199 | <|skeleton|>
class TeaSetInfoRequestHandler:
def post(self):
"""获取修改的数据，写入到数据库 不允许修改用户名，不允许修改班级"""
<|body_0|>
def SetTeaInfo(self):
"""给学生设置个人信息"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TeaSetInfoRequestHandler:
def post(self):
"""获取修改的数据，写入到数据库 不允许修改用户名，不允许修改班级"""
try:
print('收到修改个人信息请求')
body = json.loads(self.request.body)
self.sqlhandler = None
self.teaUid = body['teaUid']
self.teaPassword = body['teaPassword']
... | the_stack_v2_python_sparse | server/teacher/TeaSetInfoRequestHandler.py | lyh-ADT/edu-app | train | 1 | |
02e17a753ee773477fcf2ba49621e108f262395a | [
"self.typology = 'Simple'\nself.trace = trace\nself.dip = dip\nself.upper_depth = upper_depth\nself.lower_depth = lower_depth\nself.surface = SimpleFaultSurface.from_fault_data(self.trace, self.upper_depth, self.lower_depth, self.dip, mesh_spacing)\nself.length = trace.get_length()\nself.downdip_width = None\nself.... | <|body_start_0|>
self.typology = 'Simple'
self.trace = trace
self.dip = dip
self.upper_depth = upper_depth
self.lower_depth = lower_depth
self.surface = SimpleFaultSurface.from_fault_data(self.trace, self.upper_depth, self.lower_depth, self.dip, mesh_spacing)
self... | Describes the geometrical propeties of a simple fault surface :param str typology: Source typology :param trace: Fault trace as instance of :class: openquake.hazardlib.geo.line.Line :param float dip: Fault dip (degrees) :param float upper_depth: Upper seismogenic depth (km) :param float lower_depth: Lower seismogenic d... | SimpleFaultGeometry | [
"AGPL-3.0-only",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleFaultGeometry:
"""Describes the geometrical propeties of a simple fault surface :param str typology: Source typology :param trace: Fault trace as instance of :class: openquake.hazardlib.geo.line.Line :param float dip: Fault dip (degrees) :param float upper_depth: Upper seismogenic depth (km... | stack_v2_sparse_classes_75kplus_train_068626 | 6,464 | permissive | [
{
"docstring": "Sets up the fault geometry parameters from the input fault definitions :param float mesh_spacing: Spacing (km) of the fault surface mesh",
"name": "__init__",
"signature": "def __init__(self, trace, dip, upper_depth, lower_depth, mesh_spacing=1.0)"
},
{
"docstring": "Calculates t... | 2 | stack_v2_sparse_classes_30k_train_041026 | Implement the Python class `SimpleFaultGeometry` described below.
Class description:
Describes the geometrical propeties of a simple fault surface :param str typology: Source typology :param trace: Fault trace as instance of :class: openquake.hazardlib.geo.line.Line :param float dip: Fault dip (degrees) :param float u... | Implement the Python class `SimpleFaultGeometry` described below.
Class description:
Describes the geometrical propeties of a simple fault surface :param str typology: Source typology :param trace: Fault trace as instance of :class: openquake.hazardlib.geo.line.Line :param float dip: Fault dip (degrees) :param float u... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class SimpleFaultGeometry:
"""Describes the geometrical propeties of a simple fault surface :param str typology: Source typology :param trace: Fault trace as instance of :class: openquake.hazardlib.geo.line.Line :param float dip: Fault dip (degrees) :param float upper_depth: Upper seismogenic depth (km... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimpleFaultGeometry:
"""Describes the geometrical propeties of a simple fault surface :param str typology: Source typology :param trace: Fault trace as instance of :class: openquake.hazardlib.geo.line.Line :param float dip: Fault dip (degrees) :param float upper_depth: Upper seismogenic depth (km) :param floa... | the_stack_v2_python_sparse | openquake/hmtk/faults/fault_geometries.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
11a1aaaeb59ad8c7e7eab3a8ee1656e35a8ee11d | [
"form = forms.GomokuRecordForm()\nctx = {'form': form}\nreturn render(request, 'gomoku_app/gomoku_file_form.html', ctx)",
"form = forms.GomokuRecordForm(request.POST, request.FILES)\nuser = get_user_model().objects.get(username=self.request.user)\nif form.is_valid():\n file = form.cleaned_data['file']\n mod... | <|body_start_0|>
form = forms.GomokuRecordForm()
ctx = {'form': form}
return render(request, 'gomoku_app/gomoku_file_form.html', ctx)
<|end_body_0|>
<|body_start_1|>
form = forms.GomokuRecordForm(request.POST, request.FILES)
user = get_user_model().objects.get(username=self.requ... | View which will unpack data from gomoku record file, then signal will create proper record file object | ExtractDataRedirectView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExtractDataRedirectView:
"""View which will unpack data from gomoku record file, then signal will create proper record file object"""
def get(self, request):
"""GET method view"""
<|body_0|>
def post(self, request):
"""POST method view"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_068627 | 3,452 | no_license | [
{
"docstring": "GET method view",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "POST method view",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | null | Implement the Python class `ExtractDataRedirectView` described below.
Class description:
View which will unpack data from gomoku record file, then signal will create proper record file object
Method signatures and docstrings:
- def get(self, request): GET method view
- def post(self, request): POST method view | Implement the Python class `ExtractDataRedirectView` described below.
Class description:
View which will unpack data from gomoku record file, then signal will create proper record file object
Method signatures and docstrings:
- def get(self, request): GET method view
- def post(self, request): POST method view
<|ske... | 4ce3e6813e16ecaf0a118e0cc5548a091aa97646 | <|skeleton|>
class ExtractDataRedirectView:
"""View which will unpack data from gomoku record file, then signal will create proper record file object"""
def get(self, request):
"""GET method view"""
<|body_0|>
def post(self, request):
"""POST method view"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExtractDataRedirectView:
"""View which will unpack data from gomoku record file, then signal will create proper record file object"""
def get(self, request):
"""GET method view"""
form = forms.GomokuRecordForm()
ctx = {'form': form}
return render(request, 'gomoku_app/gomok... | the_stack_v2_python_sparse | src/gomoku_app/views.py | adam-harmasz/gomoku_v_0_2 | train | 0 |
1b3154d139398a7f0080a0d763516aa09c3fb181 | [
"if not (probe and typeMapper):\n raise Exception('Argument exception - request classifier must have valid probe and type mapper')\nself.probe = probe\nself.typeMapper = typeMapper",
"counter = txn.getCounterForProbe(self.probe)\nif counter:\n data = counter.data\n if self.typeMapper:\n return sel... | <|body_start_0|>
if not (probe and typeMapper):
raise Exception('Argument exception - request classifier must have valid probe and type mapper')
self.probe = probe
self.typeMapper = typeMapper
<|end_body_0|>
<|body_start_1|>
counter = txn.getCounterForProbe(self.probe)
... | Classifies transactions based on data in a given probe | ProbeDataClassifier | [
"MIT",
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProbeDataClassifier:
"""Classifies transactions based on data in a given probe"""
def __init__(self, probe, typeMapper):
"""Constructs an instance of ProbeDataClassifier :param probe: A probe that is expected to be in the transaction :type probe: xpedite.types.probe.Probe :param type... | stack_v2_sparse_classes_75kplus_train_068628 | 1,896 | permissive | [
{
"docstring": "Constructs an instance of ProbeDataClassifier :param probe: A probe that is expected to be in the transaction :type probe: xpedite.types.probe.Probe :param typeMapper: a callback to map probe data to a category :type typeMapper: bool",
"name": "__init__",
"signature": "def __init__(self,... | 2 | stack_v2_sparse_classes_30k_train_034571 | Implement the Python class `ProbeDataClassifier` described below.
Class description:
Classifies transactions based on data in a given probe
Method signatures and docstrings:
- def __init__(self, probe, typeMapper): Constructs an instance of ProbeDataClassifier :param probe: A probe that is expected to be in the trans... | Implement the Python class `ProbeDataClassifier` described below.
Class description:
Classifies transactions based on data in a given probe
Method signatures and docstrings:
- def __init__(self, probe, typeMapper): Constructs an instance of ProbeDataClassifier :param probe: A probe that is expected to be in the trans... | d6b67e98d4b640c98499a373425f1f009e5b9061 | <|skeleton|>
class ProbeDataClassifier:
"""Classifies transactions based on data in a given probe"""
def __init__(self, probe, typeMapper):
"""Constructs an instance of ProbeDataClassifier :param probe: A probe that is expected to be in the transaction :type probe: xpedite.types.probe.Probe :param type... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProbeDataClassifier:
"""Classifies transactions based on data in a given probe"""
def __init__(self, probe, typeMapper):
"""Constructs an instance of ProbeDataClassifier :param probe: A probe that is expected to be in the transaction :type probe: xpedite.types.probe.Probe :param typeMapper: a cal... | the_stack_v2_python_sparse | scripts/lib/xpedite/txn/classifier.py | dendisuhubdy/Xpedite | train | 1 |
e74ea41b014a04f6fd35ccbe5f273f546b02318c | [
"L = [[0 for i in range(n + 1)] for i in range(m + 1)]\nfor i in range(1, n + 1):\n L[1][i] = 1\nfor i in range(1, m + 1):\n L[i][1] = 1\nfor i in range(2, m + 1):\n for j in range(2, n + 1):\n L[i][j] = L[i - 1][j] + L[i][j - 1]\nreturn L[m][n]",
"def f(i, j):\n if i == 0 and j == 0:\n ... | <|body_start_0|>
L = [[0 for i in range(n + 1)] for i in range(m + 1)]
for i in range(1, n + 1):
L[1][i] = 1
for i in range(1, m + 1):
L[i][1] = 1
for i in range(2, m + 1):
for j in range(2, n + 1):
L[i][j] = L[i - 1][j] + L[i][j - 1]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def uniquePaths(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_0|>
def uniquePaths_2(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_1|>
def uniquePaths_3(self, m, n):
""":type m: int :type n: int :rtype... | stack_v2_sparse_classes_75kplus_train_068629 | 1,233 | no_license | [
{
"docstring": ":type m: int :type n: int :rtype: int",
"name": "uniquePaths",
"signature": "def uniquePaths(self, m, n)"
},
{
"docstring": ":type m: int :type n: int :rtype: int",
"name": "uniquePaths_2",
"signature": "def uniquePaths_2(self, m, n)"
},
{
"docstring": ":type m: i... | 3 | stack_v2_sparse_classes_30k_train_034500 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def uniquePaths(self, m, n): :type m: int :type n: int :rtype: int
- def uniquePaths_2(self, m, n): :type m: int :type n: int :rtype: int
- def uniquePaths_3(self, m, n): :type m... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def uniquePaths(self, m, n): :type m: int :type n: int :rtype: int
- def uniquePaths_2(self, m, n): :type m: int :type n: int :rtype: int
- def uniquePaths_3(self, m, n): :type m... | bd8df12c0d4afd048cf1b58b04c27fa1f3622769 | <|skeleton|>
class Solution:
def uniquePaths(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_0|>
def uniquePaths_2(self, m, n):
""":type m: int :type n: int :rtype: int"""
<|body_1|>
def uniquePaths_3(self, m, n):
""":type m: int :type n: int :rtype... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def uniquePaths(self, m, n):
""":type m: int :type n: int :rtype: int"""
L = [[0 for i in range(n + 1)] for i in range(m + 1)]
for i in range(1, n + 1):
L[1][i] = 1
for i in range(1, m + 1):
L[i][1] = 1
for i in range(2, m + 1):
... | the_stack_v2_python_sparse | 62_unique_paths.py | aojugg/leetcode | train | 0 | |
5b93de504b0861a22f9fe63fda0d0c0966d18adb | [
"new = ChillDictionary()\nself[key] = new\nreturn new",
"if key in self:\n return self[key]\nself[key] = default\nreturn default",
"out = dict()\nfor key in self:\n if isinstance(self[key], ChillDictionary):\n out[key] = self[key].dict()\n else:\n out[key] = self[key]\nreturn out"
] | <|body_start_0|>
new = ChillDictionary()
self[key] = new
return new
<|end_body_0|>
<|body_start_1|>
if key in self:
return self[key]
self[key] = default
return default
<|end_body_1|>
<|body_start_2|>
out = dict()
for key in self:
... | Dictionary that sets empty keys to chill dictionaries. | ChillDictionary | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChillDictionary:
"""Dictionary that sets empty keys to chill dictionaries."""
def __missing__(self, key):
"""Called when a missing key is invoked."""
<|body_0|>
def set(self, key, default):
"""Similar to get, except sets the internal key to the default."""
... | stack_v2_sparse_classes_75kplus_train_068630 | 11,082 | no_license | [
{
"docstring": "Called when a missing key is invoked.",
"name": "__missing__",
"signature": "def __missing__(self, key)"
},
{
"docstring": "Similar to get, except sets the internal key to the default.",
"name": "set",
"signature": "def set(self, key, default)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_037083 | Implement the Python class `ChillDictionary` described below.
Class description:
Dictionary that sets empty keys to chill dictionaries.
Method signatures and docstrings:
- def __missing__(self, key): Called when a missing key is invoked.
- def set(self, key, default): Similar to get, except sets the internal key to t... | Implement the Python class `ChillDictionary` described below.
Class description:
Dictionary that sets empty keys to chill dictionaries.
Method signatures and docstrings:
- def __missing__(self, key): Called when a missing key is invoked.
- def set(self, key, default): Similar to get, except sets the internal key to t... | 68b5f01334c6357bec4a440f8d54e7552b890291 | <|skeleton|>
class ChillDictionary:
"""Dictionary that sets empty keys to chill dictionaries."""
def __missing__(self, key):
"""Called when a missing key is invoked."""
<|body_0|>
def set(self, key, default):
"""Similar to get, except sets the internal key to the default."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChillDictionary:
"""Dictionary that sets empty keys to chill dictionaries."""
def __missing__(self, key):
"""Called when a missing key is invoked."""
new = ChillDictionary()
self[key] = new
return new
def set(self, key, default):
"""Similar to get, except sets... | the_stack_v2_python_sparse | grading/grading.py | sZwX74/mbmt | train | 0 |
007a3022c412c1b162a6c076f39f3b25c61322dc | [
"self.capacity = capacity\nself.table = {}\nself.step = 0\nself.freq_2_key = {}",
"if key in self.table:\n v, freq = self.table[key]\n self.table[key] = (v, freq + 1)\n self.freq_2_key[freq].remove(key)\n if len(self.freq_2_key[freq]) == 0:\n del self.freq_2_key[freq]\n if freq + 1 not in se... | <|body_start_0|>
self.capacity = capacity
self.table = {}
self.step = 0
self.freq_2_key = {}
<|end_body_0|>
<|body_start_1|>
if key in self.table:
v, freq = self.table[key]
self.table[key] = (v, freq + 1)
self.freq_2_key[freq].remove(key)
... | LFUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_068631 | 3,407 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_val_001608 | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | 4d73e4c1f2017828ff2d36058819988146356abe | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.table = {}
self.step = 0
self.freq_2_key = {}
def get(self, key):
""":type key: int :rtype: int"""
if key in self.table:
v, freq = self.table... | the_stack_v2_python_sparse | python/leetcode/system_design/460_lfu_cache.py | zchen0211/topcoder | train | 0 | |
a17853f729d79e6cd9d61e82ecd3ce4a3f07fe9b | [
"super().__init__()\nif weights.dim() != 1:\n raise ValueError('weights must be a one-dimensional tensor.')\nself.register_buffer('weights', weights)",
"if samples.shape[-1] != self.weights.shape[-1]:\n raise RuntimeError('Output shape of samples not equal to that of weights')\nreturn torch.einsum('...m, m'... | <|body_start_0|>
super().__init__()
if weights.dim() != 1:
raise ValueError('weights must be a one-dimensional tensor.')
self.register_buffer('weights', weights)
<|end_body_0|>
<|body_start_1|>
if samples.shape[-1] != self.weights.shape[-1]:
raise RuntimeError('O... | Linear objective constructed from a weight tensor. For input `samples` and `mc_obj = LinearMCObjective(weights)`, this produces `mc_obj(samples) = sum_{i} weights[i] * samples[..., i]` Example: Example for a model with two outcomes: >>> weights = torch.tensor([0.75, 0.25]) >>> linear_objective = LinearMCObjective(weigh... | LinearMCObjective | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinearMCObjective:
"""Linear objective constructed from a weight tensor. For input `samples` and `mc_obj = LinearMCObjective(weights)`, this produces `mc_obj(samples) = sum_{i} weights[i] * samples[..., i]` Example: Example for a model with two outcomes: >>> weights = torch.tensor([0.75, 0.25]) >... | stack_v2_sparse_classes_75kplus_train_068632 | 8,967 | permissive | [
{
"docstring": "Linear Objective. Args: weights: A one-dimensional tensor with `m` elements representing the linear weights on the outputs.",
"name": "__init__",
"signature": "def __init__(self, weights: Tensor) -> None"
},
{
"docstring": "Evaluate the linear objective on the samples. Args: samp... | 2 | stack_v2_sparse_classes_30k_train_047263 | Implement the Python class `LinearMCObjective` described below.
Class description:
Linear objective constructed from a weight tensor. For input `samples` and `mc_obj = LinearMCObjective(weights)`, this produces `mc_obj(samples) = sum_{i} weights[i] * samples[..., i]` Example: Example for a model with two outcomes: >>>... | Implement the Python class `LinearMCObjective` described below.
Class description:
Linear objective constructed from a weight tensor. For input `samples` and `mc_obj = LinearMCObjective(weights)`, this produces `mc_obj(samples) = sum_{i} weights[i] * samples[..., i]` Example: Example for a model with two outcomes: >>>... | af13f0a38b579ab504f49a01f1ced13532a3ad49 | <|skeleton|>
class LinearMCObjective:
"""Linear objective constructed from a weight tensor. For input `samples` and `mc_obj = LinearMCObjective(weights)`, this produces `mc_obj(samples) = sum_{i} weights[i] * samples[..., i]` Example: Example for a model with two outcomes: >>> weights = torch.tensor([0.75, 0.25]) >... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LinearMCObjective:
"""Linear objective constructed from a weight tensor. For input `samples` and `mc_obj = LinearMCObjective(weights)`, this produces `mc_obj(samples) = sum_{i} weights[i] * samples[..., i]` Example: Example for a model with two outcomes: >>> weights = torch.tensor([0.75, 0.25]) >>> linear_obj... | the_stack_v2_python_sparse | botorch/acquisition/objective.py | shalijiang/bo | train | 1 |
fe668ccd05a105915ac46ec0fcab245e1c1ef886 | [
"try:\n path = os.path.join(ROOT_DIR, '../tests/results.json')\n results = self.__get_mock_results(path)\nexcept Exception as ex:\n raise ex\nraise gen.Return(results)",
"try:\n results = '{\"$oid\": \"59dc3e8c8f54a9000d1fb89f\"}'\n if not results:\n raise Exception('Failed to write results ... | <|body_start_0|>
try:
path = os.path.join(ROOT_DIR, '../tests/results.json')
results = self.__get_mock_results(path)
except Exception as ex:
raise ex
raise gen.Return(results)
<|end_body_0|>
<|body_start_1|>
try:
results = '{"$oid": "59dc3... | Provides a testing mock for the mongo results handler | TestResultsProvider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestResultsProvider:
"""Provides a testing mock for the mongo results handler"""
def get_results(self, result_id=None):
"""Method implements the results mock of mongo args: result_id: key to get data from results db Returns: data responding to the result_id"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_068633 | 3,775 | no_license | [
{
"docstring": "Method implements the results mock of mongo args: result_id: key to get data from results db Returns: data responding to the result_id",
"name": "get_results",
"signature": "def get_results(self, result_id=None)"
},
{
"docstring": "Method implements the write results mock of mong... | 6 | stack_v2_sparse_classes_30k_train_036831 | Implement the Python class `TestResultsProvider` described below.
Class description:
Provides a testing mock for the mongo results handler
Method signatures and docstrings:
- def get_results(self, result_id=None): Method implements the results mock of mongo args: result_id: key to get data from results db Returns: da... | Implement the Python class `TestResultsProvider` described below.
Class description:
Provides a testing mock for the mongo results handler
Method signatures and docstrings:
- def get_results(self, result_id=None): Method implements the results mock of mongo args: result_id: key to get data from results db Returns: da... | 7c3edfbb6c2708b96b8c8d61fe865dbb1357690e | <|skeleton|>
class TestResultsProvider:
"""Provides a testing mock for the mongo results handler"""
def get_results(self, result_id=None):
"""Method implements the results mock of mongo args: result_id: key to get data from results db Returns: data responding to the result_id"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestResultsProvider:
"""Provides a testing mock for the mongo results handler"""
def get_results(self, result_id=None):
"""Method implements the results mock of mongo args: result_id: key to get data from results db Returns: data responding to the result_id"""
try:
path = os.p... | the_stack_v2_python_sparse | results/webapi/providers/test_results_provider.py | KamilBabayev/webapi_temp | train | 0 |
58c518cc25c1c52d486e42f18c2d51f7a6a704f4 | [
"params = get_params(locals())\nraw_result = await self.api_request('getFriends', params)\nif return_raw_response:\n return raw_result\nresult = GroupsGetMembersFieldsResponse(**raw_result)\nreturn result",
"params = get_params(locals())\nraw_result = await self.api_request('getSubscription', params)\nif retur... | <|body_start_0|>
params = get_params(locals())
raw_result = await self.api_request('getFriends', params)
if return_raw_response:
return raw_result
result = GroupsGetMembersFieldsResponse(**raw_result)
return result
<|end_body_0|>
<|body_start_1|>
params = get... | Donut | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Donut:
async def get_friends(self, owner_id: int, return_raw_response: bool=False, offset: typing.Optional[int]=None, count: typing.Optional[int]=None, fields: typing.Optional[typing.List[str]]=None) -> typing.Union[dict, GroupsGetMembersFieldsResponse]:
""":param owner_id: :param offset... | stack_v2_sparse_classes_75kplus_train_068634 | 2,692 | permissive | [
{
"docstring": ":param owner_id: :param offset: :param count: :param fields: :param return_raw_response: - return result at dict :return:",
"name": "get_friends",
"signature": "async def get_friends(self, owner_id: int, return_raw_response: bool=False, offset: typing.Optional[int]=None, count: typing.Op... | 4 | null | Implement the Python class `Donut` described below.
Class description:
Implement the Donut class.
Method signatures and docstrings:
- async def get_friends(self, owner_id: int, return_raw_response: bool=False, offset: typing.Optional[int]=None, count: typing.Optional[int]=None, fields: typing.Optional[typing.List[str... | Implement the Python class `Donut` described below.
Class description:
Implement the Donut class.
Method signatures and docstrings:
- async def get_friends(self, owner_id: int, return_raw_response: bool=False, offset: typing.Optional[int]=None, count: typing.Optional[int]=None, fields: typing.Optional[typing.List[str... | d88311a680e52faf04f3a18f9c5b381ee9e94a8f | <|skeleton|>
class Donut:
async def get_friends(self, owner_id: int, return_raw_response: bool=False, offset: typing.Optional[int]=None, count: typing.Optional[int]=None, fields: typing.Optional[typing.List[str]]=None) -> typing.Union[dict, GroupsGetMembersFieldsResponse]:
""":param owner_id: :param offset... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Donut:
async def get_friends(self, owner_id: int, return_raw_response: bool=False, offset: typing.Optional[int]=None, count: typing.Optional[int]=None, fields: typing.Optional[typing.List[str]]=None) -> typing.Union[dict, GroupsGetMembersFieldsResponse]:
""":param owner_id: :param offset: :param count... | the_stack_v2_python_sparse | vkwave/api/methods/donut.py | prog1ckg/vkwave | train | 0 | |
545c8eb00e8fccc48337122a49737e786fad4e3f | [
"sql = \"select table_name from user_tables where table_name='%s'\" % table_name.upper()\nrecords = db_query.select(sql)\nif len(records) == 0:\n return False\nreturn True",
"field = attr.name\nif attr.attr_type == type_def.TYPE_UINT32 or attr.attr_type == type_def.TYPE_INT32:\n field = '\"%s\" NUMBER(10, 0... | <|body_start_0|>
sql = "select table_name from user_tables where table_name='%s'" % table_name.upper()
records = db_query.select(sql)
if len(records) == 0:
return False
return True
<|end_body_0|>
<|body_start_1|>
field = attr.name
if attr.attr_type == type_de... | Class: DBOperator Description: ݿṹ Others: | DBOperator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DBOperator:
"""Class: DBOperator Description: ݿṹ Others:"""
def check_table_exists(self, db_query, table_name):
"""Method: check_table_exists Description: Ƿ Parameter: db_query: DBѯ table_name: Return: ڷtrue,false Others:"""
<|body_0|>
def get_field_def(self, attr):
... | stack_v2_sparse_classes_75kplus_train_068635 | 1,773 | no_license | [
{
"docstring": "Method: check_table_exists Description: Ƿ Parameter: db_query: DBѯ table_name: Return: ڷtrue,false Others:",
"name": "check_table_exists",
"signature": "def check_table_exists(self, db_query, table_name)"
},
{
"docstring": "Method: get_field_def Description: õֶεĶַ Parameter: Re... | 2 | stack_v2_sparse_classes_30k_train_016760 | Implement the Python class `DBOperator` described below.
Class description:
Class: DBOperator Description: ݿṹ Others:
Method signatures and docstrings:
- def check_table_exists(self, db_query, table_name): Method: check_table_exists Description: Ƿ Parameter: db_query: DBѯ table_name: Return: ڷtrue,false Others:
- d... | Implement the Python class `DBOperator` described below.
Class description:
Class: DBOperator Description: ݿṹ Others:
Method signatures and docstrings:
- def check_table_exists(self, db_query, table_name): Method: check_table_exists Description: Ƿ Parameter: db_query: DBѯ table_name: Return: ڷtrue,false Others:
- d... | e78df71fbc5d73dd93ba9452d4b54183fe1e7e1f | <|skeleton|>
class DBOperator:
"""Class: DBOperator Description: ݿṹ Others:"""
def check_table_exists(self, db_query, table_name):
"""Method: check_table_exists Description: Ƿ Parameter: db_query: DBѯ table_name: Return: ڷtrue,false Others:"""
<|body_0|>
def get_field_def(self, attr):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DBOperator:
"""Class: DBOperator Description: ݿṹ Others:"""
def check_table_exists(self, db_query, table_name):
"""Method: check_table_exists Description: Ƿ Parameter: db_query: DBѯ table_name: Return: ڷtrue,false Others:"""
sql = "select table_name from user_tables where table_name='%s... | the_stack_v2_python_sparse | weixin/code/rfid_plt/base_platform/db_sync/db_operator.py | allenforrest/wxbiz | train | 0 |
c7d3058adb3adc382a053cd838abdc54a7ba6bb6 | [
"self.__password = password\nself.__class_code = class_code\nself.__msg = {'Class Code': '', 'Password': ''}",
"if len(self.__class_code) == 0:\n self.__msg['Class Code'] += 'Class Code cannot be empty.\\n'\nif len(self.__password) == 0:\n self.__msg['Password'] += 'Password cannot be empty.\\n'\nif not all... | <|body_start_0|>
self.__password = password
self.__class_code = class_code
self.__msg = {'Class Code': '', 'Password': ''}
<|end_body_0|>
<|body_start_1|>
if len(self.__class_code) == 0:
self.__msg['Class Code'] += 'Class Code cannot be empty.\n'
if len(self.__passwo... | This class is responsible for the page login. | LoginController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginController:
"""This class is responsible for the page login."""
def __init__(self, password, class_code):
"""Init variables. :param password: the student password :param class_code: the student class code"""
<|body_0|>
def check_validation(self):
"""Check va... | stack_v2_sparse_classes_75kplus_train_068636 | 2,337 | no_license | [
{
"docstring": "Init variables. :param password: the student password :param class_code: the student class code",
"name": "__init__",
"signature": "def __init__(self, password, class_code)"
},
{
"docstring": "Check validation of student password & class_code.",
"name": "check_validation",
... | 4 | stack_v2_sparse_classes_30k_train_005788 | Implement the Python class `LoginController` described below.
Class description:
This class is responsible for the page login.
Method signatures and docstrings:
- def __init__(self, password, class_code): Init variables. :param password: the student password :param class_code: the student class code
- def check_valid... | Implement the Python class `LoginController` described below.
Class description:
This class is responsible for the page login.
Method signatures and docstrings:
- def __init__(self, password, class_code): Init variables. :param password: the student password :param class_code: the student class code
- def check_valid... | 607e459d737ac689d6974bf05f452abf89cbdfe2 | <|skeleton|>
class LoginController:
"""This class is responsible for the page login."""
def __init__(self, password, class_code):
"""Init variables. :param password: the student password :param class_code: the student class code"""
<|body_0|>
def check_validation(self):
"""Check va... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoginController:
"""This class is responsible for the page login."""
def __init__(self, password, class_code):
"""Init variables. :param password: the student password :param class_code: the student class code"""
self.__password = password
self.__class_code = class_code
se... | the_stack_v2_python_sparse | UiController/logInPageController.py | alexshachor/TheBackEye | train | 0 |
f153e5e737100848da34512649d749f117760581 | [
"self.file_name = file_name\nself.file_handler = None\nreturn",
"print('enter: ', self.file_name)\nself.file_handler = open(self.file_name, 'r')\nreturn self.file_handler",
"print('exit: ', exc_type, exc_val, exc_tb)\nif self.file_handler:\n self.file_handler.close()\nreturn True"
] | <|body_start_0|>
self.file_name = file_name
self.file_handler = None
return
<|end_body_0|>
<|body_start_1|>
print('enter: ', self.file_name)
self.file_handler = open(self.file_name, 'r')
return self.file_handler
<|end_body_1|>
<|body_start_2|>
print('exit: ', ex... | MyOpen | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyOpen:
def __init__(self, file_name):
"""初始化"""
<|body_0|>
def __enter__(self):
"""返回 file_handler"""
<|body_1|>
def __exit__(self, exc_type, exc_val, exc_tb):
"""关闭文件并返回 True"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
sel... | stack_v2_sparse_classes_75kplus_train_068637 | 7,325 | no_license | [
{
"docstring": "初始化",
"name": "__init__",
"signature": "def __init__(self, file_name)"
},
{
"docstring": "返回 file_handler",
"name": "__enter__",
"signature": "def __enter__(self)"
},
{
"docstring": "关闭文件并返回 True",
"name": "__exit__",
"signature": "def __exit__(self, exc_t... | 3 | null | Implement the Python class `MyOpen` described below.
Class description:
Implement the MyOpen class.
Method signatures and docstrings:
- def __init__(self, file_name): 初始化
- def __enter__(self): 返回 file_handler
- def __exit__(self, exc_type, exc_val, exc_tb): 关闭文件并返回 True | Implement the Python class `MyOpen` described below.
Class description:
Implement the MyOpen class.
Method signatures and docstrings:
- def __init__(self, file_name): 初始化
- def __enter__(self): 返回 file_handler
- def __exit__(self, exc_type, exc_val, exc_tb): 关闭文件并返回 True
<|skeleton|>
class MyOpen:
def __init__(... | d04cf523ef71b08fe43ed0ddf6ba194f1715fd79 | <|skeleton|>
class MyOpen:
def __init__(self, file_name):
"""初始化"""
<|body_0|>
def __enter__(self):
"""返回 file_handler"""
<|body_1|>
def __exit__(self, exc_type, exc_val, exc_tb):
"""关闭文件并返回 True"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyOpen:
def __init__(self, file_name):
"""初始化"""
self.file_name = file_name
self.file_handler = None
return
def __enter__(self):
"""返回 file_handler"""
print('enter: ', self.file_name)
self.file_handler = open(self.file_name, 'r')
return self... | the_stack_v2_python_sparse | python_cookbook/chapter8_class_and_object/chapter8_class_and_object.py | leizhen10000/learnPython | train | 0 | |
17255d87d5b3395fce38a522127d52beea687d42 | [
"clf = None\nif not is_categorical:\n clf = neighbors.KNeighborsRegressor(n_neighbors=k)\nelse:\n clf = ScrappyKNN()\nmissing_idxes = np.where(pd.isnull(X[:, column]))[0]\nif len(missing_idxes) == 0:\n return None\nX_copy = np.delete(X, missing_idxes, 0)\nX_train = np.delete(X_copy, column, 1)\ncol_mean = ... | <|body_start_0|>
clf = None
if not is_categorical:
clf = neighbors.KNeighborsRegressor(n_neighbors=k)
else:
clf = ScrappyKNN()
missing_idxes = np.where(pd.isnull(X[:, column]))[0]
if len(missing_idxes) == 0:
return None
X_copy = np.dele... | Imputer class. | Imputer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Imputer:
"""Imputer class."""
def _fit(self, X, column, k=10, is_categorical=False):
"""Fit a knn classifier for missing column. - Args: X(numpy.ndarray): input data column(int): column id to be imputed k(int): number of nearest neighbors, default 10 is_categorical(boolean): is conti... | stack_v2_sparse_classes_75kplus_train_068638 | 8,299 | no_license | [
{
"docstring": "Fit a knn classifier for missing column. - Args: X(numpy.ndarray): input data column(int): column id to be imputed k(int): number of nearest neighbors, default 10 is_categorical(boolean): is continuous or categorical feature - Returns: clf: trained k nearest neighbour classifier",
"name": "_... | 4 | stack_v2_sparse_classes_30k_train_015314 | Implement the Python class `Imputer` described below.
Class description:
Imputer class.
Method signatures and docstrings:
- def _fit(self, X, column, k=10, is_categorical=False): Fit a knn classifier for missing column. - Args: X(numpy.ndarray): input data column(int): column id to be imputed k(int): number of neares... | Implement the Python class `Imputer` described below.
Class description:
Imputer class.
Method signatures and docstrings:
- def _fit(self, X, column, k=10, is_categorical=False): Fit a knn classifier for missing column. - Args: X(numpy.ndarray): input data column(int): column id to be imputed k(int): number of neares... | 5c3f723b43e0bbc88f3ed50f6ac66a116df696ff | <|skeleton|>
class Imputer:
"""Imputer class."""
def _fit(self, X, column, k=10, is_categorical=False):
"""Fit a knn classifier for missing column. - Args: X(numpy.ndarray): input data column(int): column id to be imputed k(int): number of nearest neighbors, default 10 is_categorical(boolean): is conti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Imputer:
"""Imputer class."""
def _fit(self, X, column, k=10, is_categorical=False):
"""Fit a knn classifier for missing column. - Args: X(numpy.ndarray): input data column(int): column id to be imputed k(int): number of nearest neighbors, default 10 is_categorical(boolean): is continuous or cate... | the_stack_v2_python_sparse | knn_imputation.py | YujiaFan10/Machine-Learning-634 | train | 0 |
f2d2aaf2387714112c9fcce70df4a07e61d62267 | [
"threading.Thread.__init__(self, group=group, target=target, name=name, args=args, kwargs=kw_args)\nself._srvr = SOAPpy.WSDL.Proxy(wsdl)\nself._queue = queue\nself._lock = threading.Lock()",
"while True:\n function, item, output = self._queue.get()\n try:\n info = eval('self._srvr.%s(item)' % functio... | <|body_start_0|>
threading.Thread.__init__(self, group=group, target=target, name=name, args=args, kwargs=kw_args)
self._srvr = SOAPpy.WSDL.Proxy(wsdl)
self._queue = queue
self._lock = threading.Lock()
<|end_body_0|>
<|body_start_1|>
while True:
function, item, outpu... | A Thread class that fetches instructions from the queue passed to the constructor and queries the given WSDL server attaching the result to a given list. Notes ----- Requires SOAPpy and an active internet connection. | ThreadedWSDLFetcher | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreadedWSDLFetcher:
"""A Thread class that fetches instructions from the queue passed to the constructor and queries the given WSDL server attaching the result to a given list. Notes ----- Requires SOAPpy and an active internet connection."""
def __init__(self, queue, wsdl, group=None, targ... | stack_v2_sparse_classes_75kplus_train_068639 | 2,483 | permissive | [
{
"docstring": "Parameters ---------- queue: Queue.Queue Task queue that contains triples of a string with the function name to be queried on the WSDL server, the query string, and the container (list) to attach results to. wsdl: str URL of the WSDL server. The remaining parameters are the same as for the threa... | 2 | stack_v2_sparse_classes_30k_train_034131 | Implement the Python class `ThreadedWSDLFetcher` described below.
Class description:
A Thread class that fetches instructions from the queue passed to the constructor and queries the given WSDL server attaching the result to a given list. Notes ----- Requires SOAPpy and an active internet connection.
Method signature... | Implement the Python class `ThreadedWSDLFetcher` described below.
Class description:
A Thread class that fetches instructions from the queue passed to the constructor and queries the given WSDL server attaching the result to a given list. Notes ----- Requires SOAPpy and an active internet connection.
Method signature... | 9459b51bb6f33c7d3c644cd95a9d72a0862470e6 | <|skeleton|>
class ThreadedWSDLFetcher:
"""A Thread class that fetches instructions from the queue passed to the constructor and queries the given WSDL server attaching the result to a given list. Notes ----- Requires SOAPpy and an active internet connection."""
def __init__(self, queue, wsdl, group=None, targ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThreadedWSDLFetcher:
"""A Thread class that fetches instructions from the queue passed to the constructor and queries the given WSDL server attaching the result to a given list. Notes ----- Requires SOAPpy and an active internet connection."""
def __init__(self, queue, wsdl, group=None, target=None, name... | the_stack_v2_python_sparse | pyorganism/io/wsdl.py | Midnighter/pyorganism | train | 2 |
07a5a08de00dfad9ee22820ed6e10c7b44eca0e9 | [
"if len(names) == 0:\n self._leader = None\nelse:\n self._leader = Person(names[0])\n current_person = self._leader\n for name in names[1:]:\n current_person.next = Person(name)\n current_person = current_person.next",
"if self._leader is None:\n raise ShortChainError\nelse:\n retu... | <|body_start_0|>
if len(names) == 0:
self._leader = None
else:
self._leader = Person(names[0])
current_person = self._leader
for name in names[1:]:
current_person.next = Person(name)
current_person = current_person.next
<|en... | A chain of people. | PeopleChain | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PeopleChain:
"""A chain of people."""
def __init__(self, names):
"""Create people linked together in the order provided in <names>. The leader of the chain is the first person in <names>. @type self: PeopleChain @type names: list[str] @rtype: None"""
<|body_0|>
def get_l... | stack_v2_sparse_classes_75kplus_train_068640 | 2,417 | no_license | [
{
"docstring": "Create people linked together in the order provided in <names>. The leader of the chain is the first person in <names>. @type self: PeopleChain @type names: list[str] @rtype: None",
"name": "__init__",
"signature": "def __init__(self, names)"
},
{
"docstring": "Return the name of... | 2 | stack_v2_sparse_classes_30k_train_018585 | Implement the Python class `PeopleChain` described below.
Class description:
A chain of people.
Method signatures and docstrings:
- def __init__(self, names): Create people linked together in the order provided in <names>. The leader of the chain is the first person in <names>. @type self: PeopleChain @type names: li... | Implement the Python class `PeopleChain` described below.
Class description:
A chain of people.
Method signatures and docstrings:
- def __init__(self, names): Create people linked together in the order provided in <names>. The leader of the chain is the first person in <names>. @type self: PeopleChain @type names: li... | e00ae4246165e031b00cb7be0e9c0c1d60d49a75 | <|skeleton|>
class PeopleChain:
"""A chain of people."""
def __init__(self, names):
"""Create people linked together in the order provided in <names>. The leader of the chain is the first person in <names>. @type self: PeopleChain @type names: list[str] @rtype: None"""
<|body_0|>
def get_l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PeopleChain:
"""A chain of people."""
def __init__(self, names):
"""Create people linked together in the order provided in <names>. The leader of the chain is the first person in <names>. @type self: PeopleChain @type names: list[str] @rtype: None"""
if len(names) == 0:
self._... | the_stack_v2_python_sparse | python_class_proj/pycharm/csc148/exercises/ex2/tsets.py | Mohan-Zhang-u/From_UofT | train | 0 |
8216f9570e209ebf0adeadca074657a457035629 | [
"self.file = template\nself.params = params\nself.template = None\nif template_string:\n self.template = template_string\nelse:\n if not self.file.startswith(os.path.sep):\n self.file = os.path.join(config.TEMPLATE_DIR, self.file)\n if not (os.path.exists(self.file) and os.path.isfile(self.file)):\n... | <|body_start_0|>
self.file = template
self.params = params
self.template = None
if template_string:
self.template = template_string
else:
if not self.file.startswith(os.path.sep):
self.file = os.path.join(config.TEMPLATE_DIR, self.file)
... | A very simple template class. Basically a wrapper around the printf style string substition. | Template | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Template:
"""A very simple template class. Basically a wrapper around the printf style string substition."""
def __init__(self, params, template=None, template_string=None):
"""Create a new template object."""
<|body_0|>
def process(self, data):
"""Process the te... | stack_v2_sparse_classes_75kplus_train_068641 | 1,908 | no_license | [
{
"docstring": "Create a new template object.",
"name": "__init__",
"signature": "def __init__(self, params, template=None, template_string=None)"
},
{
"docstring": "Process the template with the template parameters bound to the matching values of data dictionary. Returns the template output as ... | 3 | stack_v2_sparse_classes_30k_val_001980 | Implement the Python class `Template` described below.
Class description:
A very simple template class. Basically a wrapper around the printf style string substition.
Method signatures and docstrings:
- def __init__(self, params, template=None, template_string=None): Create a new template object.
- def process(self, ... | Implement the Python class `Template` described below.
Class description:
A very simple template class. Basically a wrapper around the printf style string substition.
Method signatures and docstrings:
- def __init__(self, params, template=None, template_string=None): Create a new template object.
- def process(self, ... | 583411b6620fcc1cd2c635a738782869e830f89d | <|skeleton|>
class Template:
"""A very simple template class. Basically a wrapper around the printf style string substition."""
def __init__(self, params, template=None, template_string=None):
"""Create a new template object."""
<|body_0|>
def process(self, data):
"""Process the te... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Template:
"""A very simple template class. Basically a wrapper around the printf style string substition."""
def __init__(self, params, template=None, template_string=None):
"""Create a new template object."""
self.file = template
self.params = params
self.template = None
... | the_stack_v2_python_sparse | repopy/templates.py | efroese/svnsh | train | 0 |
8a4de9d85f86018c8ad2dae69f42da9d10f9af3b | [
"if not p and (not q):\n return True\nif not p or not q:\n return False\nif p.val != q.val:\n return self.isSameTree(p.left, q.left) and self.isSameTree(q.right, q.right)",
"if not p and (not q):\n return True\nif not p or not q:\n return False\nqueue1 = collections.deque([q])\nqueue2 = collections... | <|body_start_0|>
if not p and (not q):
return True
if not p or not q:
return False
if p.val != q.val:
return self.isSameTree(p.left, q.left) and self.isSameTree(q.right, q.right)
<|end_body_0|>
<|body_start_1|>
if not p and (not q):
return... | 题解思路:利用递归，暴力思路 如果q，p全空，那么自然完全相等返回True 如果有一个空，那么返回False 递归判断下一个节点 | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""题解思路:利用递归，暴力思路 如果q，p全空，那么自然完全相等返回True 如果有一个空，那么返回False 递归判断下一个节点"""
def isSameTree(self, p: TreeNode, q: TreeNode) -> bool:
"""DFS 时间复杂度： O(min(m,n)) m和n 是p和q的深度 空间复杂度： O(min(m,n)) m和n 是p和q的深度 :param p: :param q: :return:"""
<|body_0|>
def isSameTree2(self, ... | stack_v2_sparse_classes_75kplus_train_068642 | 2,168 | no_license | [
{
"docstring": "DFS 时间复杂度： O(min(m,n)) m和n 是p和q的深度 空间复杂度： O(min(m,n)) m和n 是p和q的深度 :param p: :param q: :return:",
"name": "isSameTree",
"signature": "def isSameTree(self, p: TreeNode, q: TreeNode) -> bool"
},
{
"docstring": "BFS c :param p: :param q: :return:",
"name": "isSameTree2",
"sig... | 2 | stack_v2_sparse_classes_30k_train_041591 | Implement the Python class `Solution` described below.
Class description:
题解思路:利用递归，暴力思路 如果q，p全空，那么自然完全相等返回True 如果有一个空，那么返回False 递归判断下一个节点
Method signatures and docstrings:
- def isSameTree(self, p: TreeNode, q: TreeNode) -> bool: DFS 时间复杂度： O(min(m,n)) m和n 是p和q的深度 空间复杂度： O(min(m,n)) m和n 是p和q的深度 :param p: :param q: :... | Implement the Python class `Solution` described below.
Class description:
题解思路:利用递归，暴力思路 如果q，p全空，那么自然完全相等返回True 如果有一个空，那么返回False 递归判断下一个节点
Method signatures and docstrings:
- def isSameTree(self, p: TreeNode, q: TreeNode) -> bool: DFS 时间复杂度： O(min(m,n)) m和n 是p和q的深度 空间复杂度： O(min(m,n)) m和n 是p和q的深度 :param p: :param q: :... | 578cacff5851c5c2522981693c34e3c318002d30 | <|skeleton|>
class Solution:
"""题解思路:利用递归，暴力思路 如果q，p全空，那么自然完全相等返回True 如果有一个空，那么返回False 递归判断下一个节点"""
def isSameTree(self, p: TreeNode, q: TreeNode) -> bool:
"""DFS 时间复杂度： O(min(m,n)) m和n 是p和q的深度 空间复杂度： O(min(m,n)) m和n 是p和q的深度 :param p: :param q: :return:"""
<|body_0|>
def isSameTree2(self, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
"""题解思路:利用递归，暴力思路 如果q，p全空，那么自然完全相等返回True 如果有一个空，那么返回False 递归判断下一个节点"""
def isSameTree(self, p: TreeNode, q: TreeNode) -> bool:
"""DFS 时间复杂度： O(min(m,n)) m和n 是p和q的深度 空间复杂度： O(min(m,n)) m和n 是p和q的深度 :param p: :param q: :return:"""
if not p and (not q):
return True
... | the_stack_v2_python_sparse | 相同的树.py | cjrzs/MyLeetCode | train | 8 |
eef8fba1d80a5522f3b62d44be6a28f5dda4719e | [
"start = time_ns() // 1000000\nbuffer = bytes()\nwhile not buffer.endswith(b'z00\\n'):\n wait = timeout - (time_ns() // 1000000 - start)\n if wait <= 0:\n break\n buffer += self.read(1 if not buffer else 0, wait)\nif not buffer:\n return {}\nmsgs = buffer.split(b'\\n')\nif buffer.endswith(b'\\n')... | <|body_start_0|>
start = time_ns() // 1000000
buffer = bytes()
while not buffer.endswith(b'z00\n'):
wait = timeout - (time_ns() // 1000000 - start)
if wait <= 0:
break
buffer += self.read(1 if not buffer else 0, wait)
if not buffer:
... | A SimpleSerial-ish target, sends and receives SimpleSerial messages over a serial link. | SimpleSerialTarget | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleSerialTarget:
"""A SimpleSerial-ish target, sends and receives SimpleSerial messages over a serial link."""
def recv_msgs(self, timeout: int) -> Mapping[str, SimpleSerialMessage]:
"""Receive :py:class:`SimpleSerialMessage` messages, while waiting upto :paramref:`~.recv_msgs.tim... | stack_v2_sparse_classes_75kplus_train_068643 | 2,759 | permissive | [
{
"docstring": "Receive :py:class:`SimpleSerialMessage` messages, while waiting upto :paramref:`~.recv_msgs.timeout` seconds. :param timeout: How long to wait. :return: The received messages with their char.",
"name": "recv_msgs",
"signature": "def recv_msgs(self, timeout: int) -> Mapping[str, SimpleSer... | 2 | stack_v2_sparse_classes_30k_train_011750 | Implement the Python class `SimpleSerialTarget` described below.
Class description:
A SimpleSerial-ish target, sends and receives SimpleSerial messages over a serial link.
Method signatures and docstrings:
- def recv_msgs(self, timeout: int) -> Mapping[str, SimpleSerialMessage]: Receive :py:class:`SimpleSerialMessage... | Implement the Python class `SimpleSerialTarget` described below.
Class description:
A SimpleSerial-ish target, sends and receives SimpleSerial messages over a serial link.
Method signatures and docstrings:
- def recv_msgs(self, timeout: int) -> Mapping[str, SimpleSerialMessage]: Receive :py:class:`SimpleSerialMessage... | f40b69968ad9bbb8300b451640a82e1ac83aa7ba | <|skeleton|>
class SimpleSerialTarget:
"""A SimpleSerial-ish target, sends and receives SimpleSerial messages over a serial link."""
def recv_msgs(self, timeout: int) -> Mapping[str, SimpleSerialMessage]:
"""Receive :py:class:`SimpleSerialMessage` messages, while waiting upto :paramref:`~.recv_msgs.tim... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimpleSerialTarget:
"""A SimpleSerial-ish target, sends and receives SimpleSerial messages over a serial link."""
def recv_msgs(self, timeout: int) -> Mapping[str, SimpleSerialMessage]:
"""Receive :py:class:`SimpleSerialMessage` messages, while waiting upto :paramref:`~.recv_msgs.timeout` seconds... | the_stack_v2_python_sparse | pyecsca/sca/target/simpleserial.py | J08nY/pyecsca | train | 40 |
536ed79a32703b4c03374a2d55242c59e548df6f | [
"m_path = os.path.join(model_path, name)\nif not os.path.exists(m_path):\n raise ValueError('[InsurancePriceModel] %s do not exist' % m_path)\nkeras_path = os.path.join(m_path, KERAS)\nreturn KerasModel(keras_path)",
"if not os.path.exists(model_path):\n raise ValueError('[InsurancePriceModel] %s do not exi... | <|body_start_0|>
m_path = os.path.join(model_path, name)
if not os.path.exists(m_path):
raise ValueError('[InsurancePriceModel] %s do not exist' % m_path)
keras_path = os.path.join(m_path, KERAS)
return KerasModel(keras_path)
<|end_body_0|>
<|body_start_1|>
if not os... | InsurancePriceModel | InsurancePriceModel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InsurancePriceModel:
"""InsurancePriceModel"""
def load_sub_model(model_path, name):
"""load sub model :param model_path: path for sub model :param name:sub model name :return: keras model"""
<|body_0|>
def __init__(self, model_path):
"""Loader :param model_path:... | stack_v2_sparse_classes_75kplus_train_068644 | 3,270 | no_license | [
{
"docstring": "load sub model :param model_path: path for sub model :param name:sub model name :return: keras model",
"name": "load_sub_model",
"signature": "def load_sub_model(model_path, name)"
},
{
"docstring": "Loader :param model_path: string :return:",
"name": "__init__",
"signatu... | 3 | null | Implement the Python class `InsurancePriceModel` described below.
Class description:
InsurancePriceModel
Method signatures and docstrings:
- def load_sub_model(model_path, name): load sub model :param model_path: path for sub model :param name:sub model name :return: keras model
- def __init__(self, model_path): Load... | Implement the Python class `InsurancePriceModel` described below.
Class description:
InsurancePriceModel
Method signatures and docstrings:
- def load_sub_model(model_path, name): load sub model :param model_path: path for sub model :param name:sub model name :return: keras model
- def __init__(self, model_path): Load... | c3c453f402bedc7a22dc0f873a602180f94678ef | <|skeleton|>
class InsurancePriceModel:
"""InsurancePriceModel"""
def load_sub_model(model_path, name):
"""load sub model :param model_path: path for sub model :param name:sub model name :return: keras model"""
<|body_0|>
def __init__(self, model_path):
"""Loader :param model_path:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InsurancePriceModel:
"""InsurancePriceModel"""
def load_sub_model(model_path, name):
"""load sub model :param model_path: path for sub model :param name:sub model name :return: keras model"""
m_path = os.path.join(model_path, name)
if not os.path.exists(m_path):
raise ... | the_stack_v2_python_sparse | model-serving/model_serving/models/insurance_price_model/insurance_price_model.py | StevenYang88/tuanxian_price | train | 0 |
6dcf7f343ee8609ce02daf7574b86a91cd5e3894 | [
"self.end_time_usecs = end_time_usecs\nself.location = location\nself.policy_id = policy_id\nself.protection_job_id = protection_job_id\nself.protection_job_name = protection_job_name\nself.retention_period = retention_period\nself.start_time_usecs = start_time_usecs\nself.storage_domain = storage_domain\nself.tota... | <|body_start_0|>
self.end_time_usecs = end_time_usecs
self.location = location
self.policy_id = policy_id
self.protection_job_id = protection_job_id
self.protection_job_name = protection_job_name
self.retention_period = retention_period
self.start_time_usecs = sta... | Implementation of the 'ProtectionInfo' model. dataLocation defines data location related information. Attributes: end_time_usecs (long|int): Specifies the end time for object retention. location (string): Specifies the location of the object. policy_id (string): Specifies the id of the policy. protection_job_id (long|i... | ProtectionInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProtectionInfo:
"""Implementation of the 'ProtectionInfo' model. dataLocation defines data location related information. Attributes: end_time_usecs (long|int): Specifies the end time for object retention. location (string): Specifies the location of the object. policy_id (string): Specifies the i... | stack_v2_sparse_classes_75kplus_train_068645 | 3,705 | permissive | [
{
"docstring": "Constructor for the ProtectionInfo class",
"name": "__init__",
"signature": "def __init__(self, end_time_usecs=None, location=None, policy_id=None, protection_job_id=None, protection_job_name=None, retention_period=None, start_time_usecs=None, storage_domain=None, total_snapshots=None)"
... | 2 | null | Implement the Python class `ProtectionInfo` described below.
Class description:
Implementation of the 'ProtectionInfo' model. dataLocation defines data location related information. Attributes: end_time_usecs (long|int): Specifies the end time for object retention. location (string): Specifies the location of the obje... | Implement the Python class `ProtectionInfo` described below.
Class description:
Implementation of the 'ProtectionInfo' model. dataLocation defines data location related information. Attributes: end_time_usecs (long|int): Specifies the end time for object retention. location (string): Specifies the location of the obje... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ProtectionInfo:
"""Implementation of the 'ProtectionInfo' model. dataLocation defines data location related information. Attributes: end_time_usecs (long|int): Specifies the end time for object retention. location (string): Specifies the location of the object. policy_id (string): Specifies the i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProtectionInfo:
"""Implementation of the 'ProtectionInfo' model. dataLocation defines data location related information. Attributes: end_time_usecs (long|int): Specifies the end time for object retention. location (string): Specifies the location of the object. policy_id (string): Specifies the id of the poli... | the_stack_v2_python_sparse | cohesity_management_sdk/models/protection_info.py | cohesity/management-sdk-python | train | 24 |
912c977ab1136937807f5b515b80fb20c42ac2ce | [
"self.filename = filename\ninput_file = open(self.filename, 'r')\nself.data = input_file.readlines()\ninput_file.close()\nself.line_no = 0",
"line = self.data[self.line_no]\nself.line_no += 1\nwhile line.startswith('#') or line.startswith('%'):\n line = self.data[self.line_no]\n self.line_no += 1\ncomment_m... | <|body_start_0|>
self.filename = filename
input_file = open(self.filename, 'r')
self.data = input_file.readlines()
input_file.close()
self.line_no = 0
<|end_body_0|>
<|body_start_1|>
line = self.data[self.line_no]
self.line_no += 1
while line.startswith('... | This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method. | OptFile | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptFile:
"""This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method."""
def __init__(self, filename):
"""This function reads the option file pointed by filename."""
... | stack_v2_sparse_classes_75kplus_train_068646 | 1,306 | permissive | [
{
"docstring": "This function reads the option file pointed by filename.",
"name": "__init__",
"signature": "def __init__(self, filename)"
},
{
"docstring": "This function returns the next option we read from the option file.",
"name": "get_next_option",
"signature": "def get_next_option... | 2 | stack_v2_sparse_classes_30k_train_044456 | Implement the Python class `OptFile` described below.
Class description:
This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method.
Method signatures and docstrings:
- def __init__(self, filename): This fun... | Implement the Python class `OptFile` described below.
Class description:
This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method.
Method signatures and docstrings:
- def __init__(self, filename): This fun... | bc0cce2378aa071a5537d25c1a738e58ef610561 | <|skeleton|>
class OptFile:
"""This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method."""
def __init__(self, filename):
"""This function reads the option file pointed by filename."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OptFile:
"""This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method."""
def __init__(self, filename):
"""This function reads the option file pointed by filename."""
self.filen... | the_stack_v2_python_sparse | bbp/comps/optfile.py | alborzgh/bbp | train | 0 |
35627b9641f4490165d5df8f4d2df351e57659ba | [
"with self._get_session() as session:\n response = requests.get(url, params=params or {}, headers=headers or {})\n response.raise_for_status()\n return response.json(object_hook=json_obj_hook)",
"session = requests.Session()\nsession.mount(self._base_url, adapter=TimeoutHTTPAdapter(timeout=60, max_retrie... | <|body_start_0|>
with self._get_session() as session:
response = requests.get(url, params=params or {}, headers=headers or {})
response.raise_for_status()
return response.json(object_hook=json_obj_hook)
<|end_body_0|>
<|body_start_1|>
session = requests.Session()
... | BaseAPI | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseAPI:
def get_json_from_url(self, url, params=None, *, json_obj_hook: t.Callable=None, headers=None):
"""Perform an HTTP GET request, and return the JSON response payload. Same timeouts and retry strategy as `_get_session` above."""
<|body_0|>
def _get_session(self) -> Se... | stack_v2_sparse_classes_75kplus_train_068647 | 3,062 | permissive | [
{
"docstring": "Perform an HTTP GET request, and return the JSON response payload. Same timeouts and retry strategy as `_get_session` above.",
"name": "get_json_from_url",
"signature": "def get_json_from_url(self, url, params=None, *, json_obj_hook: t.Callable=None, headers=None)"
},
{
"docstrin... | 3 | null | Implement the Python class `BaseAPI` described below.
Class description:
Implement the BaseAPI class.
Method signatures and docstrings:
- def get_json_from_url(self, url, params=None, *, json_obj_hook: t.Callable=None, headers=None): Perform an HTTP GET request, and return the JSON response payload. Same timeouts and... | Implement the Python class `BaseAPI` described below.
Class description:
Implement the BaseAPI class.
Method signatures and docstrings:
- def get_json_from_url(self, url, params=None, *, json_obj_hook: t.Callable=None, headers=None): Perform an HTTP GET request, and return the JSON response payload. Same timeouts and... | 45dff06ba21f1afdb43a434c9ba0fc49e07b48d8 | <|skeleton|>
class BaseAPI:
def get_json_from_url(self, url, params=None, *, json_obj_hook: t.Callable=None, headers=None):
"""Perform an HTTP GET request, and return the JSON response payload. Same timeouts and retry strategy as `_get_session` above."""
<|body_0|>
def _get_session(self) -> Se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseAPI:
def get_json_from_url(self, url, params=None, *, json_obj_hook: t.Callable=None, headers=None):
"""Perform an HTTP GET request, and return the JSON response payload. Same timeouts and retry strategy as `_get_session` above."""
with self._get_session() as session:
response ... | the_stack_v2_python_sparse | hasher-matcher-actioner/hmalib/common/external_api.py | facebook/ThreatExchange | train | 1,146 | |
33b528fa2b23de58e8d325c2dcdd2fe335d60c52 | [
"Base.__init__(self, target, opts)\nself.host, self.port, self.scheme, self.path = self._parse_url(self.target)\nreturn",
"opts = f\"--no-analysis --skip-poc --crawl --user-agent '{self.useragent}'\"\nopts += ' -o /tmp/'\ntarget = self.target\nif self.opts['attack_url']:\n target = self.opts['attack_url']\nif ... | <|body_start_0|>
Base.__init__(self, target, opts)
self.host, self.port, self.scheme, self.path = self._parse_url(self.target)
return
<|end_body_0|>
<|body_start_1|>
opts = f"--no-analysis --skip-poc --crawl --user-agent '{self.useragent}'"
opts += ' -o /tmp/'
target = s... | Cross-Site Request Forgery module | CSRF | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CSRF:
"""Cross-Site Request Forgery module"""
def __init__(self, target, opts):
"""init"""
<|body_0|>
def xsrfprobe(self):
"""DESCR: Crawl and check for CSRF vulnerabilities. (ext) TOOLS: xsrfprobe"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_068648 | 2,308 | no_license | [
{
"docstring": "init",
"name": "__init__",
"signature": "def __init__(self, target, opts)"
},
{
"docstring": "DESCR: Crawl and check for CSRF vulnerabilities. (ext) TOOLS: xsrfprobe",
"name": "xsrfprobe",
"signature": "def xsrfprobe(self)"
}
] | 2 | null | Implement the Python class `CSRF` described below.
Class description:
Cross-Site Request Forgery module
Method signatures and docstrings:
- def __init__(self, target, opts): init
- def xsrfprobe(self): DESCR: Crawl and check for CSRF vulnerabilities. (ext) TOOLS: xsrfprobe | Implement the Python class `CSRF` described below.
Class description:
Cross-Site Request Forgery module
Method signatures and docstrings:
- def __init__(self, target, opts): init
- def xsrfprobe(self): DESCR: Crawl and check for CSRF vulnerabilities. (ext) TOOLS: xsrfprobe
<|skeleton|>
class CSRF:
"""Cross-Site ... | ddc052c8d7d43a60fc00ea40d85111d5bd7a282e | <|skeleton|>
class CSRF:
"""Cross-Site Request Forgery module"""
def __init__(self, target, opts):
"""init"""
<|body_0|>
def xsrfprobe(self):
"""DESCR: Crawl and check for CSRF vulnerabilities. (ext) TOOLS: xsrfprobe"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CSRF:
"""Cross-Site Request Forgery module"""
def __init__(self, target, opts):
"""init"""
Base.__init__(self, target, opts)
self.host, self.port, self.scheme, self.path = self._parse_url(self.target)
return
def xsrfprobe(self):
"""DESCR: Crawl and check for C... | the_stack_v2_python_sparse | src/modules/web/csrf.py | noptrix/nullscan | train | 52 |
b67f224a3ea135397e9ebc22d3ad9b7bfd416452 | [
"region = self.get_object()\nuser = self.request.user\nif user.is_staff:\n pass\nelif user.has_any_role() and user.club.region == region:\n pass\nelif user == region.dive_officer:\n pass\nelse:\n raise PermissionDenied\nqueryset = User.objects.filter(club__region=region, qualifications__certificate__is_... | <|body_start_0|>
region = self.get_object()
user = self.request.user
if user.is_staff:
pass
elif user.has_any_role() and user.club.region == region:
pass
elif user == region.dive_officer:
pass
else:
raise PermissionDenied
... | RegionViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegionViewSet:
def active_instructors(self, request, pk=None):
"""Return a list of the active instructors in the region. Admins can see this list, as can committee members of clubs in the region and the region's Dive Officer. Everyone else is forbidden."""
<|body_0|>
def div... | stack_v2_sparse_classes_75kplus_train_068649 | 11,808 | no_license | [
{
"docstring": "Return a list of the active instructors in the region. Admins can see this list, as can committee members of clubs in the region and the region's Dive Officer. Everyone else is forbidden.",
"name": "active_instructors",
"signature": "def active_instructors(self, request, pk=None)"
},
... | 2 | stack_v2_sparse_classes_30k_train_022264 | Implement the Python class `RegionViewSet` described below.
Class description:
Implement the RegionViewSet class.
Method signatures and docstrings:
- def active_instructors(self, request, pk=None): Return a list of the active instructors in the region. Admins can see this list, as can committee members of clubs in th... | Implement the Python class `RegionViewSet` described below.
Class description:
Implement the RegionViewSet class.
Method signatures and docstrings:
- def active_instructors(self, request, pk=None): Return a list of the active instructors in the region. Admins can see this list, as can committee members of clubs in th... | 8d5086ba5c42ee77c4e4b18d5880650075f575d5 | <|skeleton|>
class RegionViewSet:
def active_instructors(self, request, pk=None):
"""Return a list of the active instructors in the region. Admins can see this list, as can committee members of clubs in the region and the region's Dive Officer. Everyone else is forbidden."""
<|body_0|>
def div... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RegionViewSet:
def active_instructors(self, request, pk=None):
"""Return a list of the active instructors in the region. Admins can see this list, as can committee members of clubs in the region and the region's Dive Officer. Everyone else is forbidden."""
region = self.get_object()
us... | the_stack_v2_python_sparse | clubs/views.py | sdob/sincserver | train | 0 | |
340690eca399b78b2fd53dddee0513efb6028911 | [
"self.wkt = wkt\nself.zmin = zmin\nself.zmax = zmax\nself.tmin = tmin\nself.tmax = tmax",
"if isinstance(other, Tesseract):\n geom1, geom2 = (self.wkt, other.wkt2D())\n relation = geom1.relate(geom2)\n if self.tmin <= other.ll.t and self.tmax >= other.ur.t:\n if not intersects.matches(relation):\n... | <|body_start_0|>
self.wkt = wkt
self.zmin = zmin
self.zmax = zmax
self.tmin = tmin
self.tmax = tmax
<|end_body_0|>
<|body_start_1|>
if isinstance(other, Tesseract):
geom1, geom2 = (self.wkt, other.wkt2D())
relation = geom1.relate(geom2)
... | Polygon4D | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Polygon4D:
def __init__(self, wkt, zmin, zmax, tmin, tmax):
"""4D Polygon constructor. Takes the wkt in the xy plane, the minimum and maximum height and the minimum and maximum time to construct a 4D Polygon."""
<|body_0|>
def relationship(self, other):
"""Relationsh... | stack_v2_sparse_classes_75kplus_train_068650 | 23,035 | permissive | [
{
"docstring": "4D Polygon constructor. Takes the wkt in the xy plane, the minimum and maximum height and the minimum and maximum time to construct a 4D Polygon.",
"name": "__init__",
"signature": "def __init__(self, wkt, zmin, zmax, tmin, tmax)"
},
{
"docstring": "Relationship of a 4D polygon a... | 3 | null | Implement the Python class `Polygon4D` described below.
Class description:
Implement the Polygon4D class.
Method signatures and docstrings:
- def __init__(self, wkt, zmin, zmax, tmin, tmax): 4D Polygon constructor. Takes the wkt in the xy plane, the minimum and maximum height and the minimum and maximum time to const... | Implement the Python class `Polygon4D` described below.
Class description:
Implement the Polygon4D class.
Method signatures and docstrings:
- def __init__(self, wkt, zmin, zmax, tmin, tmax): 4D Polygon constructor. Takes the wkt in the xy plane, the minimum and maximum height and the minimum and maximum time to const... | e7ef1d1ab2118e95cfda7e98a0e952c8d1c393d0 | <|skeleton|>
class Polygon4D:
def __init__(self, wkt, zmin, zmax, tmin, tmax):
"""4D Polygon constructor. Takes the wkt in the xy plane, the minimum and maximum height and the minimum and maximum time to construct a 4D Polygon."""
<|body_0|>
def relationship(self, other):
"""Relationsh... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Polygon4D:
def __init__(self, wkt, zmin, zmax, tmin, tmax):
"""4D Polygon constructor. Takes the wkt in the xy plane, the minimum and maximum height and the minimum and maximum time to construct a 4D Polygon."""
self.wkt = wkt
self.zmin = zmin
self.zmax = zmax
self.tmin... | the_stack_v2_python_sparse | pointcloud/structures/geometry.py | stpsomad/DynamicPCDMS | train | 2 | |
5ecaf81cc76c913c6e2c2b903892b418c195511b | [
"exists = False\nchecked_details = {}\nif not self.resource_in_tf_output(tf_outputs):\n for rule in get_rule_engine_cloudwatch_rules_var():\n rule_name = rule['ruleId']\n exists = cloudwatch_event.check_rule_exists(rule_name, input.aws_access_key, input.aws_secret_key, input.aws_region)\n if... | <|body_start_0|>
exists = False
checked_details = {}
if not self.resource_in_tf_output(tf_outputs):
for rule in get_rule_engine_cloudwatch_rules_var():
rule_name = rule['ruleId']
exists = cloudwatch_event.check_rule_exists(rule_name, input.aws_access_k... | RuleEngineEventRules | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RuleEngineEventRules:
def check_exists_before(self, input, tf_outputs):
"""This method overrides the base class method, since here we need to check the existennce of a list of CW rules"""
<|body_0|>
def pre_terraform_destroy(self):
"""Remove all targets from the coud... | stack_v2_sparse_classes_75kplus_train_068651 | 4,854 | permissive | [
{
"docstring": "This method overrides the base class method, since here we need to check the existennce of a list of CW rules",
"name": "check_exists_before",
"signature": "def check_exists_before(self, input, tf_outputs)"
},
{
"docstring": "Remove all targets from the coudwatch rules before sta... | 2 | null | Implement the Python class `RuleEngineEventRules` described below.
Class description:
Implement the RuleEngineEventRules class.
Method signatures and docstrings:
- def check_exists_before(self, input, tf_outputs): This method overrides the base class method, since here we need to check the existennce of a list of CW ... | Implement the Python class `RuleEngineEventRules` described below.
Class description:
Implement the RuleEngineEventRules class.
Method signatures and docstrings:
- def check_exists_before(self, input, tf_outputs): This method overrides the base class method, since here we need to check the existennce of a list of CW ... | aa9afde5072ed19fe37a04ab25b5f87342b3f5ae | <|skeleton|>
class RuleEngineEventRules:
def check_exists_before(self, input, tf_outputs):
"""This method overrides the base class method, since here we need to check the existennce of a list of CW rules"""
<|body_0|>
def pre_terraform_destroy(self):
"""Remove all targets from the coud... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RuleEngineEventRules:
def check_exists_before(self, input, tf_outputs):
"""This method overrides the base class method, since here we need to check the existennce of a list of CW rules"""
exists = False
checked_details = {}
if not self.resource_in_tf_output(tf_outputs):
... | the_stack_v2_python_sparse | installer/resources/lambda_rule_engine/function.py | sajeer-nooh/pacbot | train | 1 | |
ec4e5c5999395d3c5f1cc232113ab435b89bb07a | [
"total = 0\npainters = 1\nfor length in array:\n total += length\n if total > max_length:\n painters += 1\n total = length\nreturn painters",
"low = max(array)\nhigh = sum(array)\nwhile low < high:\n mid = (low + high) // 2\n painters = self.count_painters(array, mid)\n if painters <=... | <|body_start_0|>
total = 0
painters = 1
for length in array:
total += length
if total > max_length:
painters += 1
total = length
return painters
<|end_body_0|>
<|body_start_1|>
low = max(array)
high = sum(array)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def count_painters(self, array, max_length):
"""Returns total number of painters, that we're gonna need if we use max_length as maximum boards' length that each painter is gonna paint. Time complexity: O(n). Space complexity: O(1), n is len(array)."""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus_train_068652 | 1,522 | no_license | [
{
"docstring": "Returns total number of painters, that we're gonna need if we use max_length as maximum boards' length that each painter is gonna paint. Time complexity: O(n). Space complexity: O(1), n is len(array).",
"name": "count_painters",
"signature": "def count_painters(self, array, max_length)"
... | 2 | stack_v2_sparse_classes_30k_train_005390 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def count_painters(self, array, max_length): Returns total number of painters, that we're gonna need if we use max_length as maximum boards' length that each painter is gonna pai... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def count_painters(self, array, max_length): Returns total number of painters, that we're gonna need if we use max_length as maximum boards' length that each painter is gonna pai... | 71b722ddfe8da04572e527b055cf8723d5c87bbf | <|skeleton|>
class Solution:
def count_painters(self, array, max_length):
"""Returns total number of painters, that we're gonna need if we use max_length as maximum boards' length that each painter is gonna paint. Time complexity: O(n). Space complexity: O(1), n is len(array)."""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def count_painters(self, array, max_length):
"""Returns total number of painters, that we're gonna need if we use max_length as maximum boards' length that each painter is gonna paint. Time complexity: O(n). Space complexity: O(1), n is len(array)."""
total = 0
painters = 1
... | the_stack_v2_python_sparse | Binary_Search/painter_partition.py | vladn90/Algorithms | train | 0 | |
6063c377a12a2cbc341ea507f472dbccbe1a799e | [
"n = len(T)\nans = [0] * n\nfor i in range(n):\n a = 0\n for k in range(i + 1, n):\n if T[i] < T[k]:\n a += 1\n break\n elif T[i] >= T[k]:\n a += 1\n if k == n - 1:\n a = 0\n ans[i] = a\nreturn ans",
"dic = dict()\nans = [0] * len(T... | <|body_start_0|>
n = len(T)
ans = [0] * n
for i in range(n):
a = 0
for k in range(i + 1, n):
if T[i] < T[k]:
a += 1
break
elif T[i] >= T[k]:
a += 1
if k == n - ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def dailyTemperatures_1(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures_2(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_1|>
def dailyTemperatures(self, T):
""":type T: List[int] :rtype... | stack_v2_sparse_classes_75kplus_train_068653 | 3,566 | no_license | [
{
"docstring": ":type T: List[int] :rtype: List[int]",
"name": "dailyTemperatures_1",
"signature": "def dailyTemperatures_1(self, T)"
},
{
"docstring": ":type T: List[int] :rtype: List[int]",
"name": "dailyTemperatures_2",
"signature": "def dailyTemperatures_2(self, T)"
},
{
"doc... | 3 | stack_v2_sparse_classes_30k_train_017332 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures_1(self, T): :type T: List[int] :rtype: List[int]
- def dailyTemperatures_2(self, T): :type T: List[int] :rtype: List[int]
- def dailyTemperatures(self, T): ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures_1(self, T): :type T: List[int] :rtype: List[int]
- def dailyTemperatures_2(self, T): :type T: List[int] :rtype: List[int]
- def dailyTemperatures(self, T): ... | 3f7b2ea959308eb80f4c65be35aaeed666570f80 | <|skeleton|>
class Solution:
def dailyTemperatures_1(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures_2(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_1|>
def dailyTemperatures(self, T):
""":type T: List[int] :rtype... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def dailyTemperatures_1(self, T):
""":type T: List[int] :rtype: List[int]"""
n = len(T)
ans = [0] * n
for i in range(n):
a = 0
for k in range(i + 1, n):
if T[i] < T[k]:
a += 1
break
... | the_stack_v2_python_sparse | 739.每日温度.py | dxc19951001/Everyday_LeetCode | train | 1 | |
07ed0fc34fc7b85fd614f1d21d66ac19544d3d58 | [
"super().__init__(foundGeneIdString, swScore, bitScore, identity, overlap)\nif length <= 0:\n raise ValueError('Matched sequence can not be of length <= 0.')\nself.length = length\nself.foundGeneID = GeneID(foundGeneIdString)",
"preMatch.__class__ = cls\nif length <= 0:\n raise ValueError('Matched sequence ... | <|body_start_0|>
super().__init__(foundGeneIdString, swScore, bitScore, identity, overlap)
if length <= 0:
raise ValueError('Matched sequence can not be of length <= 0.')
self.length = length
self.foundGeneID = GeneID(foundGeneIdString)
<|end_body_0|>
<|body_start_1|>
... | Match | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Match:
def __init__(self, foundGeneIdString, swScore, bitScore, identity, overlap, length):
"""A sequence comparison match between two distinct genes, including calculated attributes. During creation, `foundGeneIdString` is used to create a GeneID object, saved as `foundGeneID` Parameter... | stack_v2_sparse_classes_75kplus_train_068654 | 13,123 | permissive | [
{
"docstring": "A sequence comparison match between two distinct genes, including calculated attributes. During creation, `foundGeneIdString` is used to create a GeneID object, saved as `foundGeneID` Parameters __________ foundGeneIdString : str ID of the gene found by SSDB to be a paralog/ortholog, e.g. syn:sl... | 2 | stack_v2_sparse_classes_30k_train_048614 | Implement the Python class `Match` described below.
Class description:
Implement the Match class.
Method signatures and docstrings:
- def __init__(self, foundGeneIdString, swScore, bitScore, identity, overlap, length): A sequence comparison match between two distinct genes, including calculated attributes. During cre... | Implement the Python class `Match` described below.
Class description:
Implement the Match class.
Method signatures and docstrings:
- def __init__(self, foundGeneIdString, swScore, bitScore, identity, overlap, length): A sequence comparison match between two distinct genes, including calculated attributes. During cre... | 8a4a461295e0fa39c91d6c7f4520bac311448836 | <|skeleton|>
class Match:
def __init__(self, foundGeneIdString, swScore, bitScore, identity, overlap, length):
"""A sequence comparison match between two distinct genes, including calculated attributes. During creation, `foundGeneIdString` is used to create a GeneID object, saved as `foundGeneID` Parameter... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Match:
def __init__(self, foundGeneIdString, swScore, bitScore, identity, overlap, length):
"""A sequence comparison match between two distinct genes, including calculated attributes. During creation, `foundGeneIdString` is used to create a GeneID object, saved as `foundGeneID` Parameters __________ f... | the_stack_v2_python_sparse | FEV_KEGG/KEGG/SSDB.py | ryhaberecht/FEV-KEGG | train | 2 | |
0fec10dbe543db399a8f78a81dcec6ce15dc74af | [
"allowed_fields = super().filter_allowed_fields\nallowed_fields.remove('assignment_id')\nreturn allowed_fields",
"assignment_id = self.request.matchdict.get('assignment_id')\nif assignment_id:\n query.filter(self.model.assignment_id == assignment_id)\nreturn query"
] | <|body_start_0|>
allowed_fields = super().filter_allowed_fields
allowed_fields.remove('assignment_id')
return allowed_fields
<|end_body_0|>
<|body_start_1|>
assignment_id = self.request.matchdict.get('assignment_id')
if assignment_id:
query.filter(self.model.assignme... | Assets service. | AssetService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AssetService:
"""Assets service."""
def filter_allowed_fields(self):
"""List of fields allowed in filtering and sorting."""
<|body_0|>
def default_filters(self, query) -> object:
"""Default filters for this Service."""
<|body_1|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_75kplus_train_068655 | 2,803 | no_license | [
{
"docstring": "List of fields allowed in filtering and sorting.",
"name": "filter_allowed_fields",
"signature": "def filter_allowed_fields(self)"
},
{
"docstring": "Default filters for this Service.",
"name": "default_filters",
"signature": "def default_filters(self, query) -> object"
... | 2 | stack_v2_sparse_classes_30k_train_051733 | Implement the Python class `AssetService` described below.
Class description:
Assets service.
Method signatures and docstrings:
- def filter_allowed_fields(self): List of fields allowed in filtering and sorting.
- def default_filters(self, query) -> object: Default filters for this Service. | Implement the Python class `AssetService` described below.
Class description:
Assets service.
Method signatures and docstrings:
- def filter_allowed_fields(self): List of fields allowed in filtering and sorting.
- def default_filters(self, query) -> object: Default filters for this Service.
<|skeleton|>
class AssetS... | e85c0ba0992bccb80878e89ec791ee64754646b0 | <|skeleton|>
class AssetService:
"""Assets service."""
def filter_allowed_fields(self):
"""List of fields allowed in filtering and sorting."""
<|body_0|>
def default_filters(self, query) -> object:
"""Default filters for this Service."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AssetService:
"""Assets service."""
def filter_allowed_fields(self):
"""List of fields allowed in filtering and sorting."""
allowed_fields = super().filter_allowed_fields
allowed_fields.remove('assignment_id')
return allowed_fields
def default_filters(self, query) -> ... | the_stack_v2_python_sparse | src/briefy/leica/views/assets.py | BriefyHQ/briefy.leica | train | 0 |
e480da90e2589141200075e352377c0efb3f7411 | [
"mpmap = {}\nfor manpage in files:\n normalized = _os.path.normpath(manpage)\n _, ext = _os.path.splitext(normalized)\n if ext.startswith(_os.path.extsep):\n ext = ext[len(_os.path.extsep):]\n mpmap.setdefault(ext, []).append(manpage)\nreturn [cls(manpages, prefix=_posixpath.join('share', 'man', ... | <|body_start_0|>
mpmap = {}
for manpage in files:
normalized = _os.path.normpath(manpage)
_, ext = _os.path.splitext(normalized)
if ext.startswith(_os.path.extsep):
ext = ext[len(_os.path.extsep):]
mpmap.setdefault(ext, []).append(manpage)
... | Manpages container | Manpages | [
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Manpages:
"""Manpages container"""
def dispatch(cls, files):
"""Automatically dispatch manpages to their target directories"""
<|body_0|>
def flatten(self, installer):
"""Check if manpages are suitable"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_068656 | 5,080 | permissive | [
{
"docstring": "Automatically dispatch manpages to their target directories",
"name": "dispatch",
"signature": "def dispatch(cls, files)"
},
{
"docstring": "Check if manpages are suitable",
"name": "flatten",
"signature": "def flatten(self, installer)"
}
] | 2 | stack_v2_sparse_classes_30k_train_039650 | Implement the Python class `Manpages` described below.
Class description:
Manpages container
Method signatures and docstrings:
- def dispatch(cls, files): Automatically dispatch manpages to their target directories
- def flatten(self, installer): Check if manpages are suitable | Implement the Python class `Manpages` described below.
Class description:
Manpages container
Method signatures and docstrings:
- def dispatch(cls, files): Automatically dispatch manpages to their target directories
- def flatten(self, installer): Check if manpages are suitable
<|skeleton|>
class Manpages:
"""Man... | 53102de187a48ac2cfc241fef54dcbc29c453a8e | <|skeleton|>
class Manpages:
"""Manpages container"""
def dispatch(cls, files):
"""Automatically dispatch manpages to their target directories"""
<|body_0|>
def flatten(self, installer):
"""Check if manpages are suitable"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Manpages:
"""Manpages container"""
def dispatch(cls, files):
"""Automatically dispatch manpages to their target directories"""
mpmap = {}
for manpage in files:
normalized = _os.path.normpath(manpage)
_, ext = _os.path.splitext(normalized)
if ext... | the_stack_v2_python_sparse | common/py_vulcanize/third_party/rjsmin/_setup/py2/data.py | catapult-project/catapult | train | 2,032 |
26f3a3ca0a23ec146f2a09951431c242944ff4c1 | [
"try:\n if input.get('range_type', None):\n structure_type = extract_value_from_input(input, 'range_type', 'Settings', settings_model)\nexcept ObjectDoesNotExist:\n raise GraphQLError(u'Problemi durante il recupero di una struttura.')\nranges = extract_value_from_input(input, 'range_id', 'Range', range... | <|body_start_0|>
try:
if input.get('range_type', None):
structure_type = extract_value_from_input(input, 'range_type', 'Settings', settings_model)
except ObjectDoesNotExist:
raise GraphQLError(u'Problemi durante il recupero di una struttura.')
ranges = ext... | RangeMutationService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RangeMutationService:
def updateRange(self, input):
"""aggiornamento di un range input: input: dict con i parametri per l'aggiornamento output: ranges: istanza del modello del range"""
<|body_0|>
def createRange(self, input):
"""creazione di un nuovo range input: inp... | stack_v2_sparse_classes_75kplus_train_068657 | 4,054 | no_license | [
{
"docstring": "aggiornamento di un range input: input: dict con i parametri per l'aggiornamento output: ranges: istanza del modello del range",
"name": "updateRange",
"signature": "def updateRange(self, input)"
},
{
"docstring": "creazione di un nuovo range input: input: dict con i parametri pe... | 2 | stack_v2_sparse_classes_30k_train_049930 | Implement the Python class `RangeMutationService` described below.
Class description:
Implement the RangeMutationService class.
Method signatures and docstrings:
- def updateRange(self, input): aggiornamento di un range input: input: dict con i parametri per l'aggiornamento output: ranges: istanza del modello del ran... | Implement the Python class `RangeMutationService` described below.
Class description:
Implement the RangeMutationService class.
Method signatures and docstrings:
- def updateRange(self, input): aggiornamento di un range input: input: dict con i parametri per l'aggiornamento output: ranges: istanza del modello del ran... | 7929b244a40a2faf834f55f1803d131cc6324a49 | <|skeleton|>
class RangeMutationService:
def updateRange(self, input):
"""aggiornamento di un range input: input: dict con i parametri per l'aggiornamento output: ranges: istanza del modello del range"""
<|body_0|>
def createRange(self, input):
"""creazione di un nuovo range input: inp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RangeMutationService:
def updateRange(self, input):
"""aggiornamento di un range input: input: dict con i parametri per l'aggiornamento output: ranges: istanza del modello del range"""
try:
if input.get('range_type', None):
structure_type = extract_value_from_input(... | the_stack_v2_python_sparse | legionella/graphqlapp/range/mutationservice.py | RedTurtle/legionella-backend | train | 0 | |
c3251b806748fcfb7e6226728cb807c5e4fd2585 | [
"if not email:\n raise ValueError('O usuário deve ter um endereço de email.')\nemail = self.normalize_email(email)\nuser = self.model(email=email, name=name)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(email, name, password)\nuser.is_superuser = True\nuser.is... | <|body_start_0|>
if not email:
raise ValueError('O usuário deve ter um endereço de email.')
email = self.normalize_email(email)
user = self.model(email=email, name=name)
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_s... | O gerenciador de objetos é outra classe que podemos usar para ajudar a gerenciar os perfis de usuário que nos fornecerão algumas funcionalidades extras, como a criação de um usuário administrador ou a criação de um usuário comum. | UserProfileManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProfileManager:
"""O gerenciador de objetos é outra classe que podemos usar para ajudar a gerenciar os perfis de usuário que nos fornecerão algumas funcionalidades extras, como a criação de um usuário administrador ou a criação de um usuário comum."""
def create_user(self, email, name, p... | stack_v2_sparse_classes_75kplus_train_068658 | 5,017 | no_license | [
{
"docstring": "Cria um usuário comum.",
"name": "create_user",
"signature": "def create_user(self, email, name, password=None)"
},
{
"docstring": "Cria um super usuário.",
"name": "create_superuser",
"signature": "def create_superuser(self, email, name, password)"
}
] | 2 | null | Implement the Python class `UserProfileManager` described below.
Class description:
O gerenciador de objetos é outra classe que podemos usar para ajudar a gerenciar os perfis de usuário que nos fornecerão algumas funcionalidades extras, como a criação de um usuário administrador ou a criação de um usuário comum.
Meth... | Implement the Python class `UserProfileManager` described below.
Class description:
O gerenciador de objetos é outra classe que podemos usar para ajudar a gerenciar os perfis de usuário que nos fornecerão algumas funcionalidades extras, como a criação de um usuário administrador ou a criação de um usuário comum.
Meth... | 3a8009b17518384c269dfee3c8fe44cbe2567cc0 | <|skeleton|>
class UserProfileManager:
"""O gerenciador de objetos é outra classe que podemos usar para ajudar a gerenciar os perfis de usuário que nos fornecerão algumas funcionalidades extras, como a criação de um usuário administrador ou a criação de um usuário comum."""
def create_user(self, email, name, p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserProfileManager:
"""O gerenciador de objetos é outra classe que podemos usar para ajudar a gerenciar os perfis de usuário que nos fornecerão algumas funcionalidades extras, como a criação de um usuário administrador ou a criação de um usuário comum."""
def create_user(self, email, name, password=None)... | the_stack_v2_python_sparse | project/accounts/models.py | VWApplications/VWAlmaAPI | train | 1 |
70f254be9b0d993aa543cbde73781969475ffeb0 | [
"pygame.sprite.Sprite.__init__(self)\nself.image = pygame.Surface([70, 50])\nself.image.fill((255, 255, 255))\nself.rect = self.image.get_rect()\nself.rect.y = 40\nself.set_pos(pos)",
"if pos == 1:\n self.rect.x = 67\nelif pos == 2:\n self.rect.x = 230\nelif pos == 3:\n self.rect.x = 390\nelif pos == 4:\... | <|body_start_0|>
pygame.sprite.Sprite.__init__(self)
self.image = pygame.Surface([70, 50])
self.image.fill((255, 255, 255))
self.rect = self.image.get_rect()
self.rect.y = 40
self.set_pos(pos)
<|end_body_0|>
<|body_start_1|>
if pos == 1:
self.rect.x =... | Pygame sprite class for frog nests used for checking the win condition. | FrogNest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FrogNest:
"""Pygame sprite class for frog nests used for checking the win condition."""
def __init__(self, pos):
"""- :param pos: An int representing the "index" of the nest. Should be 1-5, with 1 representing the left-most nest and 5 representing the right-most nest."""
<|bo... | stack_v2_sparse_classes_75kplus_train_068659 | 2,291 | permissive | [
{
"docstring": "- :param pos: An int representing the \"index\" of the nest. Should be 1-5, with 1 representing the left-most nest and 5 representing the right-most nest.",
"name": "__init__",
"signature": "def __init__(self, pos)"
},
{
"docstring": "Helper method called by the constructor. Take... | 3 | stack_v2_sparse_classes_30k_train_033247 | Implement the Python class `FrogNest` described below.
Class description:
Pygame sprite class for frog nests used for checking the win condition.
Method signatures and docstrings:
- def __init__(self, pos): - :param pos: An int representing the "index" of the nest. Should be 1-5, with 1 representing the left-most nes... | Implement the Python class `FrogNest` described below.
Class description:
Pygame sprite class for frog nests used for checking the win condition.
Method signatures and docstrings:
- def __init__(self, pos): - :param pos: An int representing the "index" of the nest. Should be 1-5, with 1 representing the left-most nes... | d8c6bad99ccaf10d3cca05b6fc44799e2f46ad2a | <|skeleton|>
class FrogNest:
"""Pygame sprite class for frog nests used for checking the win condition."""
def __init__(self, pos):
"""- :param pos: An int representing the "index" of the nest. Should be 1-5, with 1 representing the left-most nest and 5 representing the right-most nest."""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FrogNest:
"""Pygame sprite class for frog nests used for checking the win condition."""
def __init__(self, pos):
"""- :param pos: An int representing the "index" of the nest. Should be 1-5, with 1 representing the left-most nest and 5 representing the right-most nest."""
pygame.sprite.Spr... | the_stack_v2_python_sparse | src/Sprites/frog_nest.py | johnpcooke94/project-scrumger-games | train | 0 |
0b49a51a1bee848ef572123595b2d0ed96215e60 | [
"self._ns_name = ns_name\nself._vs_name = vs_name\ndevice = '/gpu:{}'.format(device) if device >= 0 else '/cpu:0'\nself._device = device",
"assert input.setup_done()\nlogger.info(\"Building predictor tower '{}' on device {} ...\".format(self._ns_name, self._device))\nwith tf.device(self._device), PredictTowerCont... | <|body_start_0|>
self._ns_name = ns_name
self._vs_name = vs_name
device = '/gpu:{}'.format(device) if device >= 0 else '/cpu:0'
self._device = device
<|end_body_0|>
<|body_start_1|>
assert input.setup_done()
logger.info("Building predictor tower '{}' on device {} ...".fo... | Single-tower predictor. | SimplePredictBuilder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimplePredictBuilder:
"""Single-tower predictor."""
def __init__(self, ns_name='', vs_name='', device=0):
"""Args: ns_name (str): vs_name (str): device (int):"""
<|body_0|>
def build(self, input, tower_fn):
"""Args: input (InputSource): must have been setup tower... | stack_v2_sparse_classes_75kplus_train_068660 | 1,612 | permissive | [
{
"docstring": "Args: ns_name (str): vs_name (str): device (int):",
"name": "__init__",
"signature": "def __init__(self, ns_name='', vs_name='', device=0)"
},
{
"docstring": "Args: input (InputSource): must have been setup tower_fn ( [tf.Tensors] ->): callable that takes input tensors. Returns: ... | 2 | stack_v2_sparse_classes_30k_train_000702 | Implement the Python class `SimplePredictBuilder` described below.
Class description:
Single-tower predictor.
Method signatures and docstrings:
- def __init__(self, ns_name='', vs_name='', device=0): Args: ns_name (str): vs_name (str): device (int):
- def build(self, input, tower_fn): Args: input (InputSource): must ... | Implement the Python class `SimplePredictBuilder` described below.
Class description:
Single-tower predictor.
Method signatures and docstrings:
- def __init__(self, ns_name='', vs_name='', device=0): Args: ns_name (str): vs_name (str): device (int):
- def build(self, input, tower_fn): Args: input (InputSource): must ... | a98bb06401c5c76f98ad77349218fe3f0fe17076 | <|skeleton|>
class SimplePredictBuilder:
"""Single-tower predictor."""
def __init__(self, ns_name='', vs_name='', device=0):
"""Args: ns_name (str): vs_name (str): device (int):"""
<|body_0|>
def build(self, input, tower_fn):
"""Args: input (InputSource): must have been setup tower... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimplePredictBuilder:
"""Single-tower predictor."""
def __init__(self, ns_name='', vs_name='', device=0):
"""Args: ns_name (str): vs_name (str): device (int):"""
self._ns_name = ns_name
self._vs_name = vs_name
device = '/gpu:{}'.format(device) if device >= 0 else '/cpu:0'
... | the_stack_v2_python_sparse | tensorpack/graph_builder/predict.py | armandmcqueen/tensorpack-mask-rcnn | train | 19 |
ca144ea3d06df05082c01841d48a07afe0b6a60b | [
"ref = self._ref\nif ref:\n return ref\nref = SLC(slc=self.flow.reference)\nself._ref = ref\nreturn ref",
"sec = self._sec\nif sec:\n return sec\nsec = SLC(slc=self.flow.secondary)\nself._sec = sec\nreturn sec",
"match = self.slcRegex.match(request.url)\nif match is None:\n channel = plexus.firewall\n ... | <|body_start_0|>
ref = self._ref
if ref:
return ref
ref = SLC(slc=self.flow.reference)
self._ref = ref
return ref
<|end_body_0|>
<|body_start_1|>
sec = self._sec
if sec:
return sec
sec = SLC(slc=self.flow.secondary)
self._s... | Select application behavior that is mapped to the capabilities of the web client | Panel | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Panel:
"""Select application behavior that is mapped to the capabilities of the web client"""
def ref(self):
"""Access to the raw reference SLC input data product"""
<|body_0|>
def sec(self):
"""Access to the raw secondary SLC input data product"""
<|body... | stack_v2_sparse_classes_75kplus_train_068661 | 5,072 | permissive | [
{
"docstring": "Access to the raw reference SLC input data product",
"name": "ref",
"signature": "def ref(self)"
},
{
"docstring": "Access to the raw secondary SLC input data product",
"name": "sec",
"signature": "def sec(self)"
},
{
"docstring": "Render a tile from one of the in... | 3 | null | Implement the Python class `Panel` described below.
Class description:
Select application behavior that is mapped to the capabilities of the web client
Method signatures and docstrings:
- def ref(self): Access to the raw reference SLC input data product
- def sec(self): Access to the raw secondary SLC input data prod... | Implement the Python class `Panel` described below.
Class description:
Select application behavior that is mapped to the capabilities of the web client
Method signatures and docstrings:
- def ref(self): Access to the raw reference SLC input data product
- def sec(self): Access to the raw secondary SLC input data prod... | 95c1e29f57b7a6eb29c61e2983c384a6eabf2e8b | <|skeleton|>
class Panel:
"""Select application behavior that is mapped to the capabilities of the web client"""
def ref(self):
"""Access to the raw reference SLC input data product"""
<|body_0|>
def sec(self):
"""Access to the raw secondary SLC input data product"""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Panel:
"""Select application behavior that is mapped to the capabilities of the web client"""
def ref(self):
"""Access to the raw reference SLC input data product"""
ref = self._ref
if ref:
return ref
ref = SLC(slc=self.flow.reference)
self._ref = ref
... | the_stack_v2_python_sparse | pkg/ampcor/ux/Panel.py | aivazis/ampcor | train | 3 |
650e979cfbab39b3967d92e537f44eba7ae54420 | [
"try:\n platform = self.get_argument('platform', 'iOS')\n username = self.get_argument('username')\nexcept Exception as e:\n logging.error(e)\n raise utils.APIError(errcode=100)\nuser = ctrl.web.get_user_info_ctl(username)\nif user:\n return self.send_json(user)\ndt_7days_after = datetime.datetime.no... | <|body_start_0|>
try:
platform = self.get_argument('platform', 'iOS')
username = self.get_argument('username')
except Exception as e:
logging.error(e)
raise utils.APIError(errcode=100)
user = ctrl.web.get_user_info_ctl(username)
if user:
... | UserHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserHandler:
def post(self):
"""进入app后就会掉的接口， username是设备相关的，如果没有账号则创建，返回账号信息"""
<|body_0|>
def get(self):
"""获取用户信息： email， timelimit, password, sim_online"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
platform = self.get_argumen... | stack_v2_sparse_classes_75kplus_train_068662 | 3,027 | no_license | [
{
"docstring": "进入app后就会掉的接口， username是设备相关的，如果没有账号则创建，返回账号信息",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "获取用户信息： email， timelimit, password, sim_online",
"name": "get",
"signature": "def get(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_046439 | Implement the Python class `UserHandler` described below.
Class description:
Implement the UserHandler class.
Method signatures and docstrings:
- def post(self): 进入app后就会掉的接口， username是设备相关的，如果没有账号则创建，返回账号信息
- def get(self): 获取用户信息： email， timelimit, password, sim_online | Implement the Python class `UserHandler` described below.
Class description:
Implement the UserHandler class.
Method signatures and docstrings:
- def post(self): 进入app后就会掉的接口， username是设备相关的，如果没有账号则创建，返回账号信息
- def get(self): 获取用户信息： email， timelimit, password, sim_online
<|skeleton|>
class UserHandler:
def post... | 7fd1b320a0ed33fbe428599b432bb4d0bfeb12f4 | <|skeleton|>
class UserHandler:
def post(self):
"""进入app后就会掉的接口， username是设备相关的，如果没有账号则创建，返回账号信息"""
<|body_0|>
def get(self):
"""获取用户信息： email， timelimit, password, sim_online"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserHandler:
def post(self):
"""进入app后就会掉的接口， username是设备相关的，如果没有账号则创建，返回账号信息"""
try:
platform = self.get_argument('platform', 'iOS')
username = self.get_argument('username')
except Exception as e:
logging.error(e)
raise utils.APIError(er... | the_stack_v2_python_sparse | apiv2/handler/user.py | onlywsx/FreeVPN | train | 0 | |
7c5c917eb18507f9d727c3832300a09dca5c7e47 | [
"if root is None:\n return 'n'\nret = str(root.val)\nret += ',' + self.serialize(root.left)\nret += ',' + self.serialize(root.right)\nreturn ret",
"if data == 'n':\n return None\nnode_values = data.split(',')\nroot = TreeNode(int(node_values[0]))\nstack = []\nstack.append(root)\nfor value in node_values[1:]... | <|body_start_0|>
if root is None:
return 'n'
ret = str(root.val)
ret += ',' + self.serialize(root.left)
ret += ',' + self.serialize(root.right)
return ret
<|end_body_0|>
<|body_start_1|>
if data == 'n':
return None
node_values = data.split... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_068663 | 1,539 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 70bdd75b6af2e1811c1beab22050c01d28d7373e | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root is None:
return 'n'
ret = str(root.val)
ret += ',' + self.serialize(root.left)
ret += ',' + self.serialize(root.right)
return ret
... | the_stack_v2_python_sparse | python/leetcode/297_Serialize_and_Deserialize_Binary_Tree.py | bobcaoge/my-code | train | 0 | |
3dbf0ac49449127672d21b514c773321ffae9278 | [
"self.host = host\nself.port = port\nself.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\nself.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\nself.sock.bind((self.host, self.port))\nself.messagesList = []\nself.connected = []",
"self.sock.listen(5)\nwhile True:\n client, address = self.s... | <|body_start_0|>
self.host = host
self.port = port
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.sock.bind((self.host, self.port))
self.messagesList = []
self.connected = []
<|end... | ChatServer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChatServer:
def __init__(self, host, port):
"""Initialization for the server"""
<|body_0|>
def listen(self):
"""Loop for accepting clients"""
<|body_1|>
def listenToClient(self, client, address):
"""Client thread method"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus_train_068664 | 2,925 | no_license | [
{
"docstring": "Initialization for the server",
"name": "__init__",
"signature": "def __init__(self, host, port)"
},
{
"docstring": "Loop for accepting clients",
"name": "listen",
"signature": "def listen(self)"
},
{
"docstring": "Client thread method",
"name": "listenToClien... | 4 | stack_v2_sparse_classes_30k_train_030781 | Implement the Python class `ChatServer` described below.
Class description:
Implement the ChatServer class.
Method signatures and docstrings:
- def __init__(self, host, port): Initialization for the server
- def listen(self): Loop for accepting clients
- def listenToClient(self, client, address): Client thread method... | Implement the Python class `ChatServer` described below.
Class description:
Implement the ChatServer class.
Method signatures and docstrings:
- def __init__(self, host, port): Initialization for the server
- def listen(self): Loop for accepting clients
- def listenToClient(self, client, address): Client thread method... | 0249a73062f6bef9e40d0ab792f9cf30eaa363ed | <|skeleton|>
class ChatServer:
def __init__(self, host, port):
"""Initialization for the server"""
<|body_0|>
def listen(self):
"""Loop for accepting clients"""
<|body_1|>
def listenToClient(self, client, address):
"""Client thread method"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChatServer:
def __init__(self, host, port):
"""Initialization for the server"""
self.host = host
self.port = port
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.sock.bind((self.h... | the_stack_v2_python_sparse | Bimester2/Class10/ChatServer.py | aloysiogl/CES-22_solutions | train | 0 | |
ea58319a669a2ef9fe34ede7ee8175ceffb6c6f7 | [
"super(DeepAndCrossNetworkModel, self).__init__()\nself.deep = DNNLayer(inputs_size=inputs_size, output_size=deep_output_size, layer_sizes=deep_layer_sizes, dropout_p=deep_dropout_p, activation=deep_activation)\nself.cross = CrossNetworkLayer(inputs_size=inputs_size, num_layers=cross_num_layers)\ncat_size = deep_ou... | <|body_start_0|>
super(DeepAndCrossNetworkModel, self).__init__()
self.deep = DNNLayer(inputs_size=inputs_size, output_size=deep_output_size, layer_sizes=deep_layer_sizes, dropout_p=deep_dropout_p, activation=deep_activation)
self.cross = CrossNetworkLayer(inputs_size=inputs_size, num_layers=cro... | Model class of Deep & Cross Network (DCN), which is a concatenation of dense network (deep part) and cross network (cross part). :Reference: #. `Ruoxi Wang et al, 2017. Deep & Cross Network for Ad Click Predictions <https://arxiv.org/abs/1708.05123>`_. | DeepAndCrossNetworkModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeepAndCrossNetworkModel:
"""Model class of Deep & Cross Network (DCN), which is a concatenation of dense network (deep part) and cross network (cross part). :Reference: #. `Ruoxi Wang et al, 2017. Deep & Cross Network for Ad Click Predictions <https://arxiv.org/abs/1708.05123>`_."""
def __i... | stack_v2_sparse_classes_75kplus_train_068665 | 4,225 | permissive | [
{
"docstring": "Initialize DeepAndCrossNetworkModel Args: inputs_size (int): Inputs size of dense network and cross network, i.e. number of fields * embedding size. deep_output_size (int): Output size of dense network deep_layer_sizes (List[int]): Layer sizes of dense network cross_num_layers (int): Number of l... | 2 | stack_v2_sparse_classes_30k_train_043628 | Implement the Python class `DeepAndCrossNetworkModel` described below.
Class description:
Model class of Deep & Cross Network (DCN), which is a concatenation of dense network (deep part) and cross network (cross part). :Reference: #. `Ruoxi Wang et al, 2017. Deep & Cross Network for Ad Click Predictions <https://arxiv... | Implement the Python class `DeepAndCrossNetworkModel` described below.
Class description:
Model class of Deep & Cross Network (DCN), which is a concatenation of dense network (deep part) and cross network (cross part). :Reference: #. `Ruoxi Wang et al, 2017. Deep & Cross Network for Ad Click Predictions <https://arxiv... | 07a6a38c7eb44225f2b22f332081f697c3b92894 | <|skeleton|>
class DeepAndCrossNetworkModel:
"""Model class of Deep & Cross Network (DCN), which is a concatenation of dense network (deep part) and cross network (cross part). :Reference: #. `Ruoxi Wang et al, 2017. Deep & Cross Network for Ad Click Predictions <https://arxiv.org/abs/1708.05123>`_."""
def __i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeepAndCrossNetworkModel:
"""Model class of Deep & Cross Network (DCN), which is a concatenation of dense network (deep part) and cross network (cross part). :Reference: #. `Ruoxi Wang et al, 2017. Deep & Cross Network for Ad Click Predictions <https://arxiv.org/abs/1708.05123>`_."""
def __init__(self, i... | the_stack_v2_python_sparse | torecsys/models/ctr/deep_and_cross_network.py | zwcdp/torecsys | train | 0 |
8af8dd684f38a5f1f5b9507f4f1d93b0c8c20210 | [
"self.logger = logging.getLogger('PynealLog')\nself.settings = settings\nmask_img = nib.load(settings['maskFile'])\nif settings['maskIsWeighted'] is True:\n self.weightMask = True\n self.weights = mask_img.get_fdata().copy()\n self.mask = mask_img.get_fdata() > 0\nelse:\n self.weightMask = False\n se... | <|body_start_0|>
self.logger = logging.getLogger('PynealLog')
self.settings = settings
mask_img = nib.load(settings['maskFile'])
if settings['maskIsWeighted'] is True:
self.weightMask = True
self.weights = mask_img.get_fdata().copy()
self.mask = mask_i... | Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in. | Analyzer | [
"MIT",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Analyzer:
"""Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in.... | stack_v2_sparse_classes_75kplus_train_068666 | 6,539 | permissive | [
{
"docstring": "Initialize the class Parameters ---------- settings : dict dictionary that contains all of the pyneal settings for the current session. This dictionary is loaded/configured by the GUI once Pyneal is first launched",
"name": "__init__",
"signature": "def __init__(self, settings)"
},
{... | 4 | stack_v2_sparse_classes_30k_train_006830 | Implement the Python class `Analyzer` described below.
Class description:
Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the s... | Implement the Python class `Analyzer` described below.
Class description:
Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the s... | 750f0ec5a231ccfa77aea960242de9b5019ba493 | <|skeleton|>
class Analyzer:
"""Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Analyzer:
"""Analysis Class This is the main Analysis module that gets instantiated by Pyneal, and will handle executing the specific analyses throughout the scan. The specific analysis functions that get used will be based on the analyses specified in the settings dictionary that gets passed in."""
def ... | the_stack_v2_python_sparse | src/pynealAnalysis.py | jeffmacinnes/pyneal | train | 36 |
1d5487b004da1dbbe0aebfca5f6155e8f3ed6fe7 | [
"self.wsi_iter = None\nself.wsi_list = os.listdir(LSTMDataConfig.RESULT_PATH)\nfor i in range(len(self.wsi_list)):\n print(self.wsi_list[i])\n self.wsi_iter = i\n LSTMDataConfig.MASK_PATH = LSTMDataConfig.WSI_FOLDER_PATH + os.sep + 'Tumor' + os.sep + 'Mask_Tumor' + os.sep + self.wsi_list[self.wsi_iter] + '... | <|body_start_0|>
self.wsi_iter = None
self.wsi_list = os.listdir(LSTMDataConfig.RESULT_PATH)
for i in range(len(self.wsi_list)):
print(self.wsi_list[i])
self.wsi_iter = i
LSTMDataConfig.MASK_PATH = LSTMDataConfig.WSI_FOLDER_PATH + os.sep + 'Tumor' + os.sep + '... | Saves labels for selected patches in a separate directory | TestLSTMLabelSave | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestLSTMLabelSave:
"""Saves labels for selected patches in a separate directory"""
def test(self):
"""Start saving labels for a list of WSIs"""
<|body_0|>
def test_once(self):
"""Saves labels for a particular WSI"""
<|body_1|>
def stop_call(self):
... | stack_v2_sparse_classes_75kplus_train_068667 | 7,352 | no_license | [
{
"docstring": "Start saving labels for a list of WSIs",
"name": "test",
"signature": "def test(self)"
},
{
"docstring": "Saves labels for a particular WSI",
"name": "test_once",
"signature": "def test_once(self)"
},
{
"docstring": "Stop label saving process and exit",
"name"... | 3 | stack_v2_sparse_classes_30k_train_007700 | Implement the Python class `TestLSTMLabelSave` described below.
Class description:
Saves labels for selected patches in a separate directory
Method signatures and docstrings:
- def test(self): Start saving labels for a list of WSIs
- def test_once(self): Saves labels for a particular WSI
- def stop_call(self): Stop l... | Implement the Python class `TestLSTMLabelSave` described below.
Class description:
Saves labels for selected patches in a separate directory
Method signatures and docstrings:
- def test(self): Start saving labels for a list of WSIs
- def test_once(self): Saves labels for a particular WSI
- def stop_call(self): Stop l... | 13ca09855ae18288a8da215e422e42cb74a2c181 | <|skeleton|>
class TestLSTMLabelSave:
"""Saves labels for selected patches in a separate directory"""
def test(self):
"""Start saving labels for a list of WSIs"""
<|body_0|>
def test_once(self):
"""Saves labels for a particular WSI"""
<|body_1|>
def stop_call(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestLSTMLabelSave:
"""Saves labels for selected patches in a separate directory"""
def test(self):
"""Start saving labels for a list of WSIs"""
self.wsi_iter = None
self.wsi_list = os.listdir(LSTMDataConfig.RESULT_PATH)
for i in range(len(self.wsi_list)):
print... | the_stack_v2_python_sparse | dl_interface/lstm_data_generation.py | abhinavagarwalla/Tissue_GUI | train | 1 |
1ea05c60d2612c9f7023a9f82d52e17347e0bf2c | [
"from enthought.tvtk.pipeline.browser import PipelineBrowser\nself.browser = PipelineBrowser()\nself.browser.show(parent=parent)\nreturn self.browser.ui.control",
"map(self._remove_scene, event.removed)\nmap(self._add_scene, event.added)\nreturn",
"self.browser.renwins.append(scene)\nself.browser.root_object.ap... | <|body_start_0|>
from enthought.tvtk.pipeline.browser import PipelineBrowser
self.browser = PipelineBrowser()
self.browser.show(parent=parent)
return self.browser.ui.control
<|end_body_0|>
<|body_start_1|>
map(self._remove_scene, event.removed)
map(self._add_scene, event... | The TVTK pipeline browser view. | BrowserView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BrowserView:
"""The TVTK pipeline browser view."""
def create_control(self, parent):
"""Create the toolkit-specific control that represents the view."""
<|body_0|>
def _on_scenes_changed(self, event):
"""Dynamic trait change handler. This is called when scenes ar... | stack_v2_sparse_classes_75kplus_train_068668 | 3,017 | no_license | [
{
"docstring": "Create the toolkit-specific control that represents the view.",
"name": "create_control",
"signature": "def create_control(self, parent)"
},
{
"docstring": "Dynamic trait change handler. This is called when scenes are added/removed from the scene manager, it is used to add and re... | 4 | stack_v2_sparse_classes_30k_train_012488 | Implement the Python class `BrowserView` described below.
Class description:
The TVTK pipeline browser view.
Method signatures and docstrings:
- def create_control(self, parent): Create the toolkit-specific control that represents the view.
- def _on_scenes_changed(self, event): Dynamic trait change handler. This is ... | Implement the Python class `BrowserView` described below.
Class description:
The TVTK pipeline browser view.
Method signatures and docstrings:
- def create_control(self, parent): Create the toolkit-specific control that represents the view.
- def _on_scenes_changed(self, event): Dynamic trait change handler. This is ... | 5466f5858dbd2f1f082fa0d7417b57c8fb068fad | <|skeleton|>
class BrowserView:
"""The TVTK pipeline browser view."""
def create_control(self, parent):
"""Create the toolkit-specific control that represents the view."""
<|body_0|>
def _on_scenes_changed(self, event):
"""Dynamic trait change handler. This is called when scenes ar... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BrowserView:
"""The TVTK pipeline browser view."""
def create_control(self, parent):
"""Create the toolkit-specific control that represents the view."""
from enthought.tvtk.pipeline.browser import PipelineBrowser
self.browser = PipelineBrowser()
self.browser.show(parent=pa... | the_stack_v2_python_sparse | maps/build/mayavi/enthought/tvtk/plugins/browser/browser_view.py | m-elhussieny/code | train | 0 |
5e23c50159cb217655453245f7a577fa35986f91 | [
"super().__init__()\npatch_norm = 'gn' if in_channels >= 32 else None\nself.patch_embed = ContiguousEmbed(in_channels=in_channels, patch_size=1, head_dim=head_dim, num_heads=num_heads, normalization=patch_norm, norm_kwargs={'num_features': in_channels, 'num_groups': num_groups}, **patch_embed_kwargs if patch_embed_... | <|body_start_0|>
super().__init__()
patch_norm = 'gn' if in_channels >= 32 else None
self.patch_embed = ContiguousEmbed(in_channels=in_channels, patch_size=1, head_dim=head_dim, num_heads=num_heads, normalization=patch_norm, norm_kwargs={'num_features': in_channels, 'num_groups': num_groups}, **... | Transformer2D | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transformer2D:
def __init__(self, in_channels: int, num_heads: int=8, head_dim: int=64, cross_attention_dim: int=None, n_blocks: int=2, block_types: Tuple[str, ...]=('exact', 'exact'), computation_types: Tuple[str, ...]=('basic', 'basic'), dropouts: Tuple[float, ...]=(0.0, 0.0), biases: Tuple[bo... | stack_v2_sparse_classes_75kplus_train_068669 | 12,584 | permissive | [
{
"docstring": "Create a transformer for 2D-image-like (B, C, H, W) inputs. NOTE: The output shape is the same size as the input shape. Parameters ---------- in_channels : int Number of channels in the 2D-input of shape (B, in_channels, H, W). num_heads : int, default=8 Number of heads in multi-head attention. ... | 2 | stack_v2_sparse_classes_30k_train_009575 | Implement the Python class `Transformer2D` described below.
Class description:
Implement the Transformer2D class.
Method signatures and docstrings:
- def __init__(self, in_channels: int, num_heads: int=8, head_dim: int=64, cross_attention_dim: int=None, n_blocks: int=2, block_types: Tuple[str, ...]=('exact', 'exact')... | Implement the Python class `Transformer2D` described below.
Class description:
Implement the Transformer2D class.
Method signatures and docstrings:
- def __init__(self, in_channels: int, num_heads: int=8, head_dim: int=64, cross_attention_dim: int=None, n_blocks: int=2, block_types: Tuple[str, ...]=('exact', 'exact')... | 7f79405012eb934b419bbdba8de23f35e840ca85 | <|skeleton|>
class Transformer2D:
def __init__(self, in_channels: int, num_heads: int=8, head_dim: int=64, cross_attention_dim: int=None, n_blocks: int=2, block_types: Tuple[str, ...]=('exact', 'exact'), computation_types: Tuple[str, ...]=('basic', 'basic'), dropouts: Tuple[float, ...]=(0.0, 0.0), biases: Tuple[bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Transformer2D:
def __init__(self, in_channels: int, num_heads: int=8, head_dim: int=64, cross_attention_dim: int=None, n_blocks: int=2, block_types: Tuple[str, ...]=('exact', 'exact'), computation_types: Tuple[str, ...]=('basic', 'basic'), dropouts: Tuple[float, ...]=(0.0, 0.0), biases: Tuple[bool, ...]=(Fals... | the_stack_v2_python_sparse | cellseg_models_pytorch/modules/transformers.py | okunator/cellseg_models.pytorch | train | 43 | |
a45bd42e3b29a6af758443782d1d7d411982823b | [
"super(EncoderBlock, self).__init__()\nself.mha = MultiHeadAttention(dm, h)\nself.dense_hidden = tf.keras.layers.Dense(hidden, activation='relu')\nself.dense_output = tf.keras.layers.Dense(dm)\nself.layernorm1 = tf.keras.layers.LayerNormalization(epsilon=1e-06)\nself.layernorm2 = tf.keras.layers.LayerNormalization(... | <|body_start_0|>
super(EncoderBlock, self).__init__()
self.mha = MultiHeadAttention(dm, h)
self.dense_hidden = tf.keras.layers.Dense(hidden, activation='relu')
self.dense_output = tf.keras.layers.Dense(dm)
self.layernorm1 = tf.keras.layers.LayerNormalization(epsilon=1e-06)
... | [summary] Args: tf ([type]): [description] | EncoderBlock | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderBlock:
"""[summary] Args: tf ([type]): [description]"""
def __init__(self, dm, h, hidden, drop_rate=0.1):
"""[summary] Args: dm ([type]): [description] h ([type]): [description] hidden ([type]): [description] drop_rate (float, optional): [description]. Defaults to 0.1."""
... | stack_v2_sparse_classes_75kplus_train_068670 | 12,086 | no_license | [
{
"docstring": "[summary] Args: dm ([type]): [description] h ([type]): [description] hidden ([type]): [description] drop_rate (float, optional): [description]. Defaults to 0.1.",
"name": "__init__",
"signature": "def __init__(self, dm, h, hidden, drop_rate=0.1)"
},
{
"docstring": "[summary] Args... | 2 | stack_v2_sparse_classes_30k_train_033584 | Implement the Python class `EncoderBlock` described below.
Class description:
[summary] Args: tf ([type]): [description]
Method signatures and docstrings:
- def __init__(self, dm, h, hidden, drop_rate=0.1): [summary] Args: dm ([type]): [description] h ([type]): [description] hidden ([type]): [description] drop_rate (... | Implement the Python class `EncoderBlock` described below.
Class description:
[summary] Args: tf ([type]): [description]
Method signatures and docstrings:
- def __init__(self, dm, h, hidden, drop_rate=0.1): [summary] Args: dm ([type]): [description] h ([type]): [description] hidden ([type]): [description] drop_rate (... | 5f86dee95f4d1c32014d0d74a368f342ff3ce6f7 | <|skeleton|>
class EncoderBlock:
"""[summary] Args: tf ([type]): [description]"""
def __init__(self, dm, h, hidden, drop_rate=0.1):
"""[summary] Args: dm ([type]): [description] h ([type]): [description] hidden ([type]): [description] drop_rate (float, optional): [description]. Defaults to 0.1."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncoderBlock:
"""[summary] Args: tf ([type]): [description]"""
def __init__(self, dm, h, hidden, drop_rate=0.1):
"""[summary] Args: dm ([type]): [description] h ([type]): [description] hidden ([type]): [description] drop_rate (float, optional): [description]. Defaults to 0.1."""
super(Enc... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/5-transformer.py | d1sd41n/holbertonschool-machine_learning | train | 0 |
e55aafdf52b7b9982b0f5674e70b860239166da0 | [
"self.max_batch_size = max_batch_size\nself.device = device\nself.distribution_cls = Categorical if distribution_cls is None else distribution_cls",
"num_samples, max_seq_length = actions.size()\nnumber_batches = (num_samples + self.max_batch_size - 1) // self.max_batch_size\nremaining_samples = num_samples\nlog_... | <|body_start_0|>
self.max_batch_size = max_batch_size
self.device = device
self.distribution_cls = Categorical if distribution_cls is None else distribution_cls
<|end_body_0|>
<|body_start_1|>
num_samples, max_seq_length = actions.size()
number_batches = (num_samples + self.max_... | Action replay for policy-based RL algorithms. Given some actions sampled from a RNN model, will calculate the log probabilities and entropy. | ActionReplay | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActionReplay:
"""Action replay for policy-based RL algorithms. Given some actions sampled from a RNN model, will calculate the log probabilities and entropy."""
def __init__(self, max_batch_size, device, distribution_cls: Type[Distribution]=None) -> None:
"""Args: max_batch_size: Max... | stack_v2_sparse_classes_75kplus_train_068671 | 5,211 | permissive | [
{
"docstring": "Args: max_batch_size: Max. batch size device: cuda | cpu distribution_cls: distribution type to sample from. If None, will be a multinomial distribution.",
"name": "__init__",
"signature": "def __init__(self, max_batch_size, device, distribution_cls: Type[Distribution]=None) -> None"
}... | 3 | stack_v2_sparse_classes_30k_val_000717 | Implement the Python class `ActionReplay` described below.
Class description:
Action replay for policy-based RL algorithms. Given some actions sampled from a RNN model, will calculate the log probabilities and entropy.
Method signatures and docstrings:
- def __init__(self, max_batch_size, device, distribution_cls: Ty... | Implement the Python class `ActionReplay` described below.
Class description:
Action replay for policy-based RL algorithms. Given some actions sampled from a RNN model, will calculate the log probabilities and entropy.
Method signatures and docstrings:
- def __init__(self, max_batch_size, device, distribution_cls: Ty... | 44d24c53f3acf9266eb2fb06dbff909836549291 | <|skeleton|>
class ActionReplay:
"""Action replay for policy-based RL algorithms. Given some actions sampled from a RNN model, will calculate the log probabilities and entropy."""
def __init__(self, max_batch_size, device, distribution_cls: Type[Distribution]=None) -> None:
"""Args: max_batch_size: Max... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ActionReplay:
"""Action replay for policy-based RL algorithms. Given some actions sampled from a RNN model, will calculate the log probabilities and entropy."""
def __init__(self, max_batch_size, device, distribution_cls: Type[Distribution]=None) -> None:
"""Args: max_batch_size: Max. batch size ... | the_stack_v2_python_sparse | smiles_lstm_ppo/action_replay.py | BenevolentAI/guacamol_baselines | train | 108 |
10a99c45ff439865eda09df35df7b5fef493f86a | [
"if not isinstance(samples_info_sets, pd.Series):\n raise ValueError('The samples_info_sets param must be a pd.Series.')\nsuper().__init__(n_splits, shuffle=False, random_state=None)\nself.samples_info_sets = samples_info_sets\nself.pct_embargo = pct_embargo",
"if X.shape[0] != self.samples_info_sets.shape[0]:... | <|body_start_0|>
if not isinstance(samples_info_sets, pd.Series):
raise ValueError('The samples_info_sets param must be a pd.Series.')
super().__init__(n_splits, shuffle=False, random_state=None)
self.samples_info_sets = samples_info_sets
self.pct_embargo = pct_embargo
<|end_... | Extend KFold class to work with labels that span intervals. The train is purged of observations overlapping test-label intervals. Test set is assumed contiguous (shuffle=False), w/o training samples in between. | PurgedKFold | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PurgedKFold:
"""Extend KFold class to work with labels that span intervals. The train is purged of observations overlapping test-label intervals. Test set is assumed contiguous (shuffle=False), w/o training samples in between."""
def __init__(self, n_splits: int=3, samples_info_sets: pd.Seri... | stack_v2_sparse_classes_75kplus_train_068672 | 19,555 | permissive | [
{
"docstring": "Initialize. :param n_splits: (int) The number of splits. Default to 3 :param samples_info_sets: (pd.Series) The information range on which each record is constructed from *samples_info_sets.index*: Time when the information extraction started. *samples_info_sets.value*: Time when the information... | 2 | stack_v2_sparse_classes_30k_train_050265 | Implement the Python class `PurgedKFold` described below.
Class description:
Extend KFold class to work with labels that span intervals. The train is purged of observations overlapping test-label intervals. Test set is assumed contiguous (shuffle=False), w/o training samples in between.
Method signatures and docstrin... | Implement the Python class `PurgedKFold` described below.
Class description:
Extend KFold class to work with labels that span intervals. The train is purged of observations overlapping test-label intervals. Test set is assumed contiguous (shuffle=False), w/o training samples in between.
Method signatures and docstrin... | 046c47d995da08b1003bba3f9c07d5bfb73d9c1f | <|skeleton|>
class PurgedKFold:
"""Extend KFold class to work with labels that span intervals. The train is purged of observations overlapping test-label intervals. Test set is assumed contiguous (shuffle=False), w/o training samples in between."""
def __init__(self, n_splits: int=3, samples_info_sets: pd.Seri... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PurgedKFold:
"""Extend KFold class to work with labels that span intervals. The train is purged of observations overlapping test-label intervals. Test set is assumed contiguous (shuffle=False), w/o training samples in between."""
def __init__(self, n_splits: int=3, samples_info_sets: pd.Series=None, pct_... | the_stack_v2_python_sparse | src/collection/mlfinlab/cross_validation/cross_validation.py | Ta-nu-ki/dissertacao | train | 0 |
924777cf8997a822e805f5615368868aa5185096 | [
"if not self.port.attr['options'] or env.flags['config'] == 'none':\n return True\nelif env.flags['config'] == 'all':\n return False\noptionfile = env.flags['chroot'] + self.port.attr['optionsfile']\npkgname = self.port.attr['pkgname']\nconfig_pkgname = ''\noptions = set()\nif os.path.isfile(optionfile):\n ... | <|body_start_0|>
if not self.port.attr['options'] or env.flags['config'] == 'none':
return True
elif env.flags['config'] == 'all':
return False
optionfile = env.flags['chroot'] + self.port.attr['optionsfile']
pkgname = self.port.attr['pkgname']
config_pkgn... | Configure a port. | Config | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Config:
"""Configure a port."""
def complete(self):
"""Check the options file to see if it is up-to-date."""
<|body_0|>
def _pre_make(self):
"""Issue a make.target() to configure the port."""
<|body_1|>
def _post_make(self, status):
"""Refetc... | stack_v2_sparse_classes_75kplus_train_068673 | 5,139 | permissive | [
{
"docstring": "Check the options file to see if it is up-to-date.",
"name": "complete",
"signature": "def complete(self)"
},
{
"docstring": "Issue a make.target() to configure the port.",
"name": "_pre_make",
"signature": "def _pre_make(self)"
},
{
"docstring": "Refetch attr dat... | 4 | stack_v2_sparse_classes_30k_train_027815 | Implement the Python class `Config` described below.
Class description:
Configure a port.
Method signatures and docstrings:
- def complete(self): Check the options file to see if it is up-to-date.
- def _pre_make(self): Issue a make.target() to configure the port.
- def _post_make(self, status): Refetch attr data if ... | Implement the Python class `Config` described below.
Class description:
Configure a port.
Method signatures and docstrings:
- def complete(self): Check the options file to see if it is up-to-date.
- def _pre_make(self): Issue a make.target() to configure the port.
- def _post_make(self, status): Refetch attr data if ... | 1d0041382dc68738018401cdda2e69836a534e1d | <|skeleton|>
class Config:
"""Configure a port."""
def complete(self):
"""Check the options file to see if it is up-to-date."""
<|body_0|>
def _pre_make(self):
"""Issue a make.target() to configure the port."""
<|body_1|>
def _post_make(self, status):
"""Refetc... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Config:
"""Configure a port."""
def complete(self):
"""Check the options file to see if it is up-to-date."""
if not self.port.attr['options'] or env.flags['config'] == 'none':
return True
elif env.flags['config'] == 'all':
return False
optionfile = ... | the_stack_v2_python_sparse | libpb/stacks/common.py | DragonSA/portbuilder | train | 10 |
3466ab049432e59f75c1c160b957b7d03b8e3ffd | [
"if isinstance(s, str) and re.match('^([0-9a-f]){24}$', s):\n return True\nreturn False",
"if cls.is_valid(s):\n return datetime.fromtimestamp(int(s[:8], 16))\nreturn False"
] | <|body_start_0|>
if isinstance(s, str) and re.match('^([0-9a-f]){24}$', s):
return True
return False
<|end_body_0|>
<|body_start_1|>
if cls.is_valid(s):
return datetime.fromtimestamp(int(s[:8], 16))
return False
<|end_body_1|>
| Mongo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Mongo:
def is_valid(cls, s):
"""returns True if s is a valid MongoID; otherwise False"""
<|body_0|>
def get_timestamp(cls, s):
"""if s is a MongoID, returns a datetime object for the timestamp; otherwise False"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_75kplus_train_068674 | 1,205 | no_license | [
{
"docstring": "returns True if s is a valid MongoID; otherwise False",
"name": "is_valid",
"signature": "def is_valid(cls, s)"
},
{
"docstring": "if s is a MongoID, returns a datetime object for the timestamp; otherwise False",
"name": "get_timestamp",
"signature": "def get_timestamp(cl... | 2 | null | Implement the Python class `Mongo` described below.
Class description:
Implement the Mongo class.
Method signatures and docstrings:
- def is_valid(cls, s): returns True if s is a valid MongoID; otherwise False
- def get_timestamp(cls, s): if s is a MongoID, returns a datetime object for the timestamp; otherwise False | Implement the Python class `Mongo` described below.
Class description:
Implement the Mongo class.
Method signatures and docstrings:
- def is_valid(cls, s): returns True if s is a valid MongoID; otherwise False
- def get_timestamp(cls, s): if s is a MongoID, returns a datetime object for the timestamp; otherwise False... | 216957fe84ba76cab2eb603234ece08c97b9ac1f | <|skeleton|>
class Mongo:
def is_valid(cls, s):
"""returns True if s is a valid MongoID; otherwise False"""
<|body_0|>
def get_timestamp(cls, s):
"""if s is a MongoID, returns a datetime object for the timestamp; otherwise False"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Mongo:
def is_valid(cls, s):
"""returns True if s is a valid MongoID; otherwise False"""
if isinstance(s, str) and re.match('^([0-9a-f]){24}$', s):
return True
return False
def get_timestamp(cls, s):
"""if s is a MongoID, returns a datetime object for the times... | the_stack_v2_python_sparse | challenges_5kyu/mongodb_objectid.py | tvrt0001/CodeWars-Python | train | 0 | |
2b896966bd93afb60e6662b5400c54aa3edef7ff | [
"full_layer_specs = []\nfor i, layer_spec in enumerate(layer_specs):\n full_layer_spec = [3, layer_spec[0], layer_spec[1], 1]\n full_layer_specs.append(full_layer_spec)\nsuper().__init__(name=name, layer_specs=full_layer_specs, activation_fn=activation_fn, last_activation_fn=None, regularizer=regularizer, pad... | <|body_start_0|>
full_layer_specs = []
for i, layer_spec in enumerate(layer_specs):
full_layer_spec = [3, layer_spec[0], layer_spec[1], 1]
full_layer_specs.append(full_layer_spec)
super().__init__(name=name, layer_specs=full_layer_specs, activation_fn=activation_fn, last_... | LateralConnection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LateralConnection:
def __init__(self, name, layer_specs, activation_fn=leaky_relu, total_dropout_rate=0.0, regularizer=None):
""":param name: Str. For variable scoping. :param layer_specs: Array of shape [num_layers, 2]. Constrained version of parent class' layer_specs. The second dimens... | stack_v2_sparse_classes_75kplus_train_068675 | 6,555 | no_license | [
{
"docstring": ":param name: Str. For variable scoping. :param layer_specs: Array of shape [num_layers, 2]. Constrained version of parent class' layer_specs. The second dimension consists of [num_output_features, dilation]. :param activation_fn: Tensorflow activation function. This will not be applied on the la... | 2 | stack_v2_sparse_classes_30k_train_042368 | Implement the Python class `LateralConnection` described below.
Class description:
Implement the LateralConnection class.
Method signatures and docstrings:
- def __init__(self, name, layer_specs, activation_fn=leaky_relu, total_dropout_rate=0.0, regularizer=None): :param name: Str. For variable scoping. :param layer_... | Implement the Python class `LateralConnection` described below.
Class description:
Implement the LateralConnection class.
Method signatures and docstrings:
- def __init__(self, name, layer_specs, activation_fn=leaky_relu, total_dropout_rate=0.0, regularizer=None): :param name: Str. For variable scoping. :param layer_... | 494d503c729ba018614fc742f1aee1e48d37127e | <|skeleton|>
class LateralConnection:
def __init__(self, name, layer_specs, activation_fn=leaky_relu, total_dropout_rate=0.0, regularizer=None):
""":param name: Str. For variable scoping. :param layer_specs: Array of shape [num_layers, 2]. Constrained version of parent class' layer_specs. The second dimens... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LateralConnection:
def __init__(self, name, layer_specs, activation_fn=leaky_relu, total_dropout_rate=0.0, regularizer=None):
""":param name: Str. For variable scoping. :param layer_specs: Array of shape [num_layers, 2]. Constrained version of parent class' layer_specs. The second dimension consists o... | the_stack_v2_python_sparse | context_interp/gridnet/connections/connections.py | NeedsMorePie/interpolator | train | 2 | |
c7525a3ef8a75ec06e9c27d6d176304b3539ec44 | [
"super().__init__()\nself.generator = generator_cls(img_shape, num_res_blocks, c_dim)\nself.discriminator = discriminator_cls(img_shape, c_dim, num_strided)\nself._c_dim = c_dim\nself.lambda_cls = lambda_cls\nself.lambda_rec = lambda_rec\nself.lambda_gp = lambda_gp\nself._gen_update_freq = gen_update_freq\nself._ge... | <|body_start_0|>
super().__init__()
self.generator = generator_cls(img_shape, num_res_blocks, c_dim)
self.discriminator = discriminator_cls(img_shape, c_dim, num_strided)
self._c_dim = c_dim
self.lambda_cls = lambda_cls
self.lambda_rec = lambda_rec
self.lambda_gp ... | Class implementing StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation References ---------- `Paper <https://arxiv.org/abs/1711.09020>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to spl... | StarGAN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StarGAN:
"""Class implementing StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation References ---------- `Paper <https://arxiv.org/abs/1711.09020>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already traine... | stack_v2_sparse_classes_75kplus_train_068676 | 7,061 | permissive | [
{
"docstring": "Parameters ---------- img_shape : tuple the shape of the generated/input images; should contain channels, but not the batch dimension c_dim : int size of the latent code dimension num_res_blocks : int number of residual blocks inside the generator num_strided : int number of strided convolutions... | 3 | stack_v2_sparse_classes_30k_train_017459 | Implement the Python class `StarGAN` described below.
Class description:
Class implementing StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation References ---------- `Paper <https://arxiv.org/abs/1711.09020>`_ Warnings -------- This Network is designed for training only; if you... | Implement the Python class `StarGAN` described below.
Class description:
Class implementing StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation References ---------- `Paper <https://arxiv.org/abs/1711.09020>`_ Warnings -------- This Network is designed for training only; if you... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class StarGAN:
"""Class implementing StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation References ---------- `Paper <https://arxiv.org/abs/1711.09020>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already traine... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StarGAN:
"""Class implementing StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation References ---------- `Paper <https://arxiv.org/abs/1711.09020>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it... | the_stack_v2_python_sparse | dlutils/models/gans/star/stargan.py | justusschock/dl-utils | train | 15 |
0176add48d35c59dabfb58db02fccea7eb604be8 | [
"inv.Inventory.__init__(self, item_code, description, market_price, rental_price)\nself.brand = brand\nself.voltage = voltage",
"outputdict = {}\noutputdict['item_code'] = self.item_code\noutputdict['description'] = self.description\noutputdict['market_price'] = self.market_price\noutputdict['rental_price'] = sel... | <|body_start_0|>
inv.Inventory.__init__(self, item_code, description, market_price, rental_price)
self.brand = brand
self.voltage = voltage
<|end_body_0|>
<|body_start_1|>
outputdict = {}
outputdict['item_code'] = self.item_code
outputdict['description'] = self.descripti... | some stuff2 | ElectricAppliances | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElectricAppliances:
"""some stuff2"""
def __init__(self, item_code, description, market_price, rental_price, brand, voltage):
"""some stuff3"""
<|body_0|>
def return_as_dictionary(self):
"""some stuff4"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_068677 | 931 | no_license | [
{
"docstring": "some stuff3",
"name": "__init__",
"signature": "def __init__(self, item_code, description, market_price, rental_price, brand, voltage)"
},
{
"docstring": "some stuff4",
"name": "return_as_dictionary",
"signature": "def return_as_dictionary(self)"
}
] | 2 | null | Implement the Python class `ElectricAppliances` described below.
Class description:
some stuff2
Method signatures and docstrings:
- def __init__(self, item_code, description, market_price, rental_price, brand, voltage): some stuff3
- def return_as_dictionary(self): some stuff4 | Implement the Python class `ElectricAppliances` described below.
Class description:
some stuff2
Method signatures and docstrings:
- def __init__(self, item_code, description, market_price, rental_price, brand, voltage): some stuff3
- def return_as_dictionary(self): some stuff4
<|skeleton|>
class ElectricAppliances:
... | 5dac60f39e3909ff05b26721d602ed20f14d6be3 | <|skeleton|>
class ElectricAppliances:
"""some stuff2"""
def __init__(self, item_code, description, market_price, rental_price, brand, voltage):
"""some stuff3"""
<|body_0|>
def return_as_dictionary(self):
"""some stuff4"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ElectricAppliances:
"""some stuff2"""
def __init__(self, item_code, description, market_price, rental_price, brand, voltage):
"""some stuff3"""
inv.Inventory.__init__(self, item_code, description, market_price, rental_price)
self.brand = brand
self.voltage = voltage
d... | the_stack_v2_python_sparse | students/ScotchWSplenda/lesson01/assignment/inventory_management/electric_appliances_class.py | JavaRod/SP_Python220B_2019 | train | 1 |
713b8427f8e6c60ab2470f8515a03ae8dd3eb73e | [
"context = super().get_context_data(**kwargs)\ncontext['category'] = self.category\nreturn context",
"if self.category:\n return models.Manufacturer.objects.exclude(description__isnull=True).filter(category_id__gte=self.category.gte).filter(category_id__lt=self.category.lt)\nreturn models.Manufacturer.objects.... | <|body_start_0|>
context = super().get_context_data(**kwargs)
context['category'] = self.category
return context
<|end_body_0|>
<|body_start_1|>
if self.category:
return models.Manufacturer.objects.exclude(description__isnull=True).filter(category_id__gte=self.category.gte).... | List of manufacturers. | Manufacturers | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Manufacturers:
"""List of manufacturers."""
def get_context_data(self, **kwargs):
"""Add category to the context."""
<|body_0|>
def get_queryset(self):
"""Show list of manufacturers inside one category."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_068678 | 5,601 | permissive | [
{
"docstring": "Add category to the context.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Show list of manufacturers inside one category.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001352 | Implement the Python class `Manufacturers` described below.
Class description:
List of manufacturers.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Add category to the context.
- def get_queryset(self): Show list of manufacturers inside one category. | Implement the Python class `Manufacturers` described below.
Class description:
List of manufacturers.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Add category to the context.
- def get_queryset(self): Show list of manufacturers inside one category.
<|skeleton|>
class Manufacturers:
... | 84c4fa10aefbd792a956cef3d727623ca78cb5fd | <|skeleton|>
class Manufacturers:
"""List of manufacturers."""
def get_context_data(self, **kwargs):
"""Add category to the context."""
<|body_0|>
def get_queryset(self):
"""Show list of manufacturers inside one category."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Manufacturers:
"""List of manufacturers."""
def get_context_data(self, **kwargs):
"""Add category to the context."""
context = super().get_context_data(**kwargs)
context['category'] = self.category
return context
def get_queryset(self):
"""Show list of manufac... | the_stack_v2_python_sparse | market/core/views/base.py | katomaso/django-market | train | 0 |
d9b117f5dffc3f5f23455b27694753d795673c4f | [
"if 'length' not in net_params.additional_params:\n raise ValueError('length of circle not supplied')\nself.length = net_params.additional_params['length']\nif 'lanes' not in net_params.additional_params:\n raise ValueError('lanes of circle not supplied')\nself.lanes = net_params.additional_params['lanes']\ni... | <|body_start_0|>
if 'length' not in net_params.additional_params:
raise ValueError('length of circle not supplied')
self.length = net_params.additional_params['length']
if 'lanes' not in net_params.additional_params:
raise ValueError('lanes of circle not supplied')
... | LoopScenario | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoopScenario:
def __init__(self, name, generator_class, vehicles, net_params, initial_config=None):
"""Initializes a loop scenario. Required net_params: length, lanes, speed_limit, resolution. See Scenario.py for description of params."""
<|body_0|>
def specify_edge_starts(s... | stack_v2_sparse_classes_75kplus_train_068679 | 1,524 | permissive | [
{
"docstring": "Initializes a loop scenario. Required net_params: length, lanes, speed_limit, resolution. See Scenario.py for description of params.",
"name": "__init__",
"signature": "def __init__(self, name, generator_class, vehicles, net_params, initial_config=None)"
},
{
"docstring": "See pa... | 2 | stack_v2_sparse_classes_30k_train_011237 | Implement the Python class `LoopScenario` described below.
Class description:
Implement the LoopScenario class.
Method signatures and docstrings:
- def __init__(self, name, generator_class, vehicles, net_params, initial_config=None): Initializes a loop scenario. Required net_params: length, lanes, speed_limit, resolu... | Implement the Python class `LoopScenario` described below.
Class description:
Implement the LoopScenario class.
Method signatures and docstrings:
- def __init__(self, name, generator_class, vehicles, net_params, initial_config=None): Initializes a loop scenario. Required net_params: length, lanes, speed_limit, resolu... | f3f6d7e9c64f6b641a464a716c7f38ca00388805 | <|skeleton|>
class LoopScenario:
def __init__(self, name, generator_class, vehicles, net_params, initial_config=None):
"""Initializes a loop scenario. Required net_params: length, lanes, speed_limit, resolution. See Scenario.py for description of params."""
<|body_0|>
def specify_edge_starts(s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoopScenario:
def __init__(self, name, generator_class, vehicles, net_params, initial_config=None):
"""Initializes a loop scenario. Required net_params: length, lanes, speed_limit, resolution. See Scenario.py for description of params."""
if 'length' not in net_params.additional_params:
... | the_stack_v2_python_sparse | flow/scenarios/loop/loop_scenario.py | mark-koren/flow | train | 0 | |
298ca184f3e67ac7cfdd44e60f88ee1ca299386f | [
"wx.Panel.__init__(self, parent)\nself.SetBackgroundColour('3399FF')\nself.father = manipulador\nself.lbldesc = wx.StaticText(self, label='Descripcion Tipo de Pregunta :', pos=(100, 35))\nself.editdesc = wx.TextCtrl(self, value='', pos=(0, 35), size=(140, -1))\nself.button = wx.Button(self, wx.ID_OK, label='Siguien... | <|body_start_0|>
wx.Panel.__init__(self, parent)
self.SetBackgroundColour('3399FF')
self.father = manipulador
self.lbldesc = wx.StaticText(self, label='Descripcion Tipo de Pregunta :', pos=(100, 35))
self.editdesc = wx.TextCtrl(self, value='', pos=(0, 35), size=(140, -1))
... | Una clase personalizada de frame donde el usuario que desee registrar un nuevo examen podra ingresar datos como el nombre del examen, la fecha del examen, el puntaje extra del examen, el tipo del examen y la cantidad de preguntas que este tendra. | paneltipopregunta | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class paneltipopregunta:
"""Una clase personalizada de frame donde el usuario que desee registrar un nuevo examen podra ingresar datos como el nombre del examen, la fecha del examen, el puntaje extra del examen, el tipo del examen y la cantidad de preguntas que este tendra."""
def __init__(self, p... | stack_v2_sparse_classes_75kplus_train_068680 | 10,739 | no_license | [
{
"docstring": "contructor requiere de parent como interfaz contenedor y manipulador como clase que accedera a la informacion",
"name": "__init__",
"signature": "def __init__(self, parent, manipulador, accion)"
},
{
"docstring": "metodo que atendera el boton siguiente y registrara la informacion... | 2 | stack_v2_sparse_classes_30k_test_002246 | Implement the Python class `paneltipopregunta` described below.
Class description:
Una clase personalizada de frame donde el usuario que desee registrar un nuevo examen podra ingresar datos como el nombre del examen, la fecha del examen, el puntaje extra del examen, el tipo del examen y la cantidad de preguntas que es... | Implement the Python class `paneltipopregunta` described below.
Class description:
Una clase personalizada de frame donde el usuario que desee registrar un nuevo examen podra ingresar datos como el nombre del examen, la fecha del examen, el puntaje extra del examen, el tipo del examen y la cantidad de preguntas que es... | b7fa1939056baa01b48d310d981a5fb1493d6698 | <|skeleton|>
class paneltipopregunta:
"""Una clase personalizada de frame donde el usuario que desee registrar un nuevo examen podra ingresar datos como el nombre del examen, la fecha del examen, el puntaje extra del examen, el tipo del examen y la cantidad de preguntas que este tendra."""
def __init__(self, p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class paneltipopregunta:
"""Una clase personalizada de frame donde el usuario que desee registrar un nuevo examen podra ingresar datos como el nombre del examen, la fecha del examen, el puntaje extra del examen, el tipo del examen y la cantidad de preguntas que este tendra."""
def __init__(self, parent, manipu... | the_stack_v2_python_sparse | NewPythonProject/src/administrador Interfaz/admparametros.py | wahello/gesdatos | train | 0 |
3a851b212c1154b6d2372f44e52493b61b497e10 | [
"header = FormatCBFMiniPilatus.get_cbf_header(image_file)\nyear = 0\nfor record in header.split('\\n'):\n if '# 20' in record:\n year = int(record.replace('-', ' ').replace('/', ' ').split()[1])\n break\nif year <= 0:\n return False\nfor record in header.split('\\n'):\n if '# Detector' in rec... | <|body_start_0|>
header = FormatCBFMiniPilatus.get_cbf_header(image_file)
year = 0
for record in header.split('\n'):
if '# 20' in record:
year = int(record.replace('-', ' ').replace('/', ' ').split()[1])
break
if year <= 0:
return F... | A class for reading mini CBF format Pilatus images for 6M SN 119 @ DLS. | FormatCBFMiniPilatusDLS6MSN119 | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FormatCBFMiniPilatusDLS6MSN119:
"""A class for reading mini CBF format Pilatus images for 6M SN 119 @ DLS."""
def understand(image_file):
"""Check to see if this looks like an Pilatus mini CBF format image, i.e. we can make sense of it."""
<|body_0|>
def _goniometer(self... | stack_v2_sparse_classes_75kplus_train_068681 | 2,060 | permissive | [
{
"docstring": "Check to see if this looks like an Pilatus mini CBF format image, i.e. we can make sense of it.",
"name": "understand",
"signature": "def understand(image_file)"
},
{
"docstring": "Return a model for a simple single-axis goniometer. This should probably be checked against the ima... | 2 | stack_v2_sparse_classes_30k_train_048449 | Implement the Python class `FormatCBFMiniPilatusDLS6MSN119` described below.
Class description:
A class for reading mini CBF format Pilatus images for 6M SN 119 @ DLS.
Method signatures and docstrings:
- def understand(image_file): Check to see if this looks like an Pilatus mini CBF format image, i.e. we can make sen... | Implement the Python class `FormatCBFMiniPilatusDLS6MSN119` described below.
Class description:
A class for reading mini CBF format Pilatus images for 6M SN 119 @ DLS.
Method signatures and docstrings:
- def understand(image_file): Check to see if this looks like an Pilatus mini CBF format image, i.e. we can make sen... | 2fc8ffadbf67d0611e2d7affcf50d0f23abfc16f | <|skeleton|>
class FormatCBFMiniPilatusDLS6MSN119:
"""A class for reading mini CBF format Pilatus images for 6M SN 119 @ DLS."""
def understand(image_file):
"""Check to see if this looks like an Pilatus mini CBF format image, i.e. we can make sense of it."""
<|body_0|>
def _goniometer(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FormatCBFMiniPilatusDLS6MSN119:
"""A class for reading mini CBF format Pilatus images for 6M SN 119 @ DLS."""
def understand(image_file):
"""Check to see if this looks like an Pilatus mini CBF format image, i.e. we can make sense of it."""
header = FormatCBFMiniPilatus.get_cbf_header(imag... | the_stack_v2_python_sparse | src/dxtbx/format/FormatCBFMiniPilatusDLS6MSN119.py | cctbx/dxtbx | train | 2 |
90a8560e68210f05645872a3614e8aeea3b75853 | [
"try:\n parser = DocumentParser.post_parser()\n request_data = parser.parse_args()\n size_in_limit = DocumentHandler.max_document_size(request_data['documents'][0])\n if not size_in_limit:\n return ('File size limit exceeds the max size', 413)\n result = DocumentHandler.upload_document(request... | <|body_start_0|>
try:
parser = DocumentParser.post_parser()
request_data = parser.parse_args()
size_in_limit = DocumentHandler.max_document_size(request_data['documents'][0])
if not size_in_limit:
return ('File size limit exceeds the max size', 413... | Documents | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Documents:
def post(self):
"""The POST request will upload the document on the S3 bucket, If the upload is successful then we will save the Details in the database @return: Saved Document details in Json Format"""
<|body_0|>
def get(self):
"""This GET request will fe... | stack_v2_sparse_classes_75kplus_train_068682 | 7,627 | no_license | [
{
"docstring": "The POST request will upload the document on the S3 bucket, If the upload is successful then we will save the Details in the database @return: Saved Document details in Json Format",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "This GET request will fetch the ... | 3 | stack_v2_sparse_classes_30k_train_032547 | Implement the Python class `Documents` described below.
Class description:
Implement the Documents class.
Method signatures and docstrings:
- def post(self): The POST request will upload the document on the S3 bucket, If the upload is successful then we will save the Details in the database @return: Saved Document de... | Implement the Python class `Documents` described below.
Class description:
Implement the Documents class.
Method signatures and docstrings:
- def post(self): The POST request will upload the document on the S3 bucket, If the upload is successful then we will save the Details in the database @return: Saved Document de... | 17b93889c6945db15ed8b57147def2ae89a07de5 | <|skeleton|>
class Documents:
def post(self):
"""The POST request will upload the document on the S3 bucket, If the upload is successful then we will save the Details in the database @return: Saved Document details in Json Format"""
<|body_0|>
def get(self):
"""This GET request will fe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Documents:
def post(self):
"""The POST request will upload the document on the S3 bucket, If the upload is successful then we will save the Details in the database @return: Saved Document details in Json Format"""
try:
parser = DocumentParser.post_parser()
request_data ... | the_stack_v2_python_sparse | FiledInfluencer/Api/routers.py | jssellars/aniket_filed | train | 0 | |
45bcd679555a4a2476e9db8c8d79c7bbdc392435 | [
"lst = []\nself.travel(root, lst)\nreturn lst",
"if not root:\n return\nself.travel(root.left, lst)\nlst.append(root.val)\nself.travel(root.right, lst)",
"if not root:\n return []\nresult = []\nst = []\nnode = root\nwhile node or len(st) > 0:\n if node:\n st.append(node)\n node = node.lef... | <|body_start_0|>
lst = []
self.travel(root, lst)
return lst
<|end_body_0|>
<|body_start_1|>
if not root:
return
self.travel(root.left, lst)
lst.append(root.val)
self.travel(root.right, lst)
<|end_body_1|>
<|body_start_2|>
if not root:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def inorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def travel(self, root, lst):
""":param root: :param lst: :return:"""
<|body_1|>
def in_order_no_dfs(self, root):
"""中序遍历非递归 :param root: :return:"... | stack_v2_sparse_classes_75kplus_train_068683 | 1,316 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "inorderTraversal",
"signature": "def inorderTraversal(self, root)"
},
{
"docstring": ":param root: :param lst: :return:",
"name": "travel",
"signature": "def travel(self, root, lst)"
},
{
"docstring": "中序遍历非递归 :par... | 3 | stack_v2_sparse_classes_30k_test_001304 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def inorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def travel(self, root, lst): :param root: :param lst: :return:
- def in_order_no_dfs(self, root): 中序遍历非... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def inorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def travel(self, root, lst): :param root: :param lst: :return:
- def in_order_no_dfs(self, root): 中序遍历非... | a75310a96d2b165b15d5ee10ec409a17cdc880ba | <|skeleton|>
class Solution:
def inorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def travel(self, root, lst):
""":param root: :param lst: :return:"""
<|body_1|>
def in_order_no_dfs(self, root):
"""中序遍历非递归 :param root: :return:"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def inorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
lst = []
self.travel(root, lst)
return lst
def travel(self, root, lst):
""":param root: :param lst: :return:"""
if not root:
return
self.travel(root... | the_stack_v2_python_sparse | leetcode/tree/code/mid.py | skyxyz-lang/CS_Note | train | 0 | |
f0580ac2ec2b128a6cafef59db7a81c469e7786d | [
"list_of_column_names = remove_duplicate_column_names(plot_options[DATA])\ntable_dict = {HEADER_INFO: plot_options[DATA], DATA: json.dumps(data[list_of_column_names].to_dict('records')), OPTIONS: plot_options.get(OPTIONS, {})}\nreturn table_dict",
"set_of_column_names = set()\nfor dict_of_data_for_each_column in ... | <|body_start_0|>
list_of_column_names = remove_duplicate_column_names(plot_options[DATA])
table_dict = {HEADER_INFO: plot_options[DATA], DATA: json.dumps(data[list_of_column_names].to_dict('records')), OPTIONS: plot_options.get(OPTIONS, {})}
return table_dict
<|end_body_0|>
<|body_start_1|>
... | BootstrapTable | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BootstrapTable:
def make_dict_for_html_plot(data, plot_options, visualization_options=None):
"""Makes the dictionary that bootstrap_table.html takes in. layout options for bootstrap_table are currently not implemented. based on https://bootstrap-table.com/ :param data: a pandas dataframe... | stack_v2_sparse_classes_75kplus_train_068684 | 2,143 | permissive | [
{
"docstring": "Makes the dictionary that bootstrap_table.html takes in. layout options for bootstrap_table are currently not implemented. based on https://bootstrap-table.com/ :param data: a pandas dataframe :param plot_options: :param visualization_options: not used :return:",
"name": "make_dict_for_html_... | 2 | stack_v2_sparse_classes_30k_train_030865 | Implement the Python class `BootstrapTable` described below.
Class description:
Implement the BootstrapTable class.
Method signatures and docstrings:
- def make_dict_for_html_plot(data, plot_options, visualization_options=None): Makes the dictionary that bootstrap_table.html takes in. layout options for bootstrap_tab... | Implement the Python class `BootstrapTable` described below.
Class description:
Implement the BootstrapTable class.
Method signatures and docstrings:
- def make_dict_for_html_plot(data, plot_options, visualization_options=None): Makes the dictionary that bootstrap_table.html takes in. layout options for bootstrap_tab... | 8da4dc69eec5976a87dc250361ff1ec35f53a739 | <|skeleton|>
class BootstrapTable:
def make_dict_for_html_plot(data, plot_options, visualization_options=None):
"""Makes the dictionary that bootstrap_table.html takes in. layout options for bootstrap_table are currently not implemented. based on https://bootstrap-table.com/ :param data: a pandas dataframe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BootstrapTable:
def make_dict_for_html_plot(data, plot_options, visualization_options=None):
"""Makes the dictionary that bootstrap_table.html takes in. layout options for bootstrap_table are currently not implemented. based on https://bootstrap-table.com/ :param data: a pandas dataframe :param plot_o... | the_stack_v2_python_sparse | escalation/graphics/bootstrap_table.py | twosixlabs/Escalation | train | 42 | |
e4b0a2a7e3b9bb95b11a5fdeb9169d7eed891d3d | [
"if len(nums) == 1:\n return False\nfor i in range(0, len(nums)):\n for j in range(1, k + 1):\n if i + j >= len(nums):\n break\n if nums[i] == nums[i + j]:\n return True\nreturn False",
"nums_dictionary = {}\nfor i, v in enumerate(nums):\n if v in nums_dictionary and i... | <|body_start_0|>
if len(nums) == 1:
return False
for i in range(0, len(nums)):
for j in range(1, k + 1):
if i + j >= len(nums):
break
if nums[i] == nums[i + j]:
return True
return False
<|end_body_0|>... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_0|>
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_75kplus_train_068685 | 1,186 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: bool",
"name": "containsNearbyDuplicate",
"signature": "def containsNearbyDuplicate(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: bool",
"name": "containsNearbyDuplicate",
"signature": "def contain... | 2 | stack_v2_sparse_classes_30k_train_034314 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtype: bool
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtyp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtype: bool
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtyp... | 6de551327f96ec4d4b63d0045281b65bbb4f5d0f | <|skeleton|>
class Solution:
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_0|>
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
if len(nums) == 1:
return False
for i in range(0, len(nums)):
for j in range(1, k + 1):
if i + j >= len(nums):
break
... | the_stack_v2_python_sparse | containsNearbyDuplicate.py | JingweiTu/leetcode | train | 0 | |
5ea9cadb6252c364917095031b5ad575fd5b9728 | [
"data = dj_serializers.serialize('json', obj.children())\njson_data = json.loads(data)\nfor item in json_data:\n item['fields']['content_type'] = obj.content_type.name\nreturn json_data",
"if timesince.timesince(obj.datetime_created) == timesince.timesince(obj.datetime_modified):\n created_value = timesince... | <|body_start_0|>
data = dj_serializers.serialize('json', obj.children())
json_data = json.loads(data)
for item in json_data:
item['fields']['content_type'] = obj.content_type.name
return json_data
<|end_body_0|>
<|body_start_1|>
if timesince.timesince(obj.datetime_cr... | Serializer for Comment model. | CommentSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommentSerializer:
"""Serializer for Comment model."""
def get_children(self, obj):
"""Return `children` serialized objects."""
<|body_0|>
def get_date_to_display(self, obj):
"""Return timesince formatted date."""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_068686 | 2,149 | no_license | [
{
"docstring": "Return `children` serialized objects.",
"name": "get_children",
"signature": "def get_children(self, obj)"
},
{
"docstring": "Return timesince formatted date.",
"name": "get_date_to_display",
"signature": "def get_date_to_display(self, obj)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038036 | Implement the Python class `CommentSerializer` described below.
Class description:
Serializer for Comment model.
Method signatures and docstrings:
- def get_children(self, obj): Return `children` serialized objects.
- def get_date_to_display(self, obj): Return timesince formatted date. | Implement the Python class `CommentSerializer` described below.
Class description:
Serializer for Comment model.
Method signatures and docstrings:
- def get_children(self, obj): Return `children` serialized objects.
- def get_date_to_display(self, obj): Return timesince formatted date.
<|skeleton|>
class CommentSeri... | faee901943371ed85f8ecde456b342efdb07e865 | <|skeleton|>
class CommentSerializer:
"""Serializer for Comment model."""
def get_children(self, obj):
"""Return `children` serialized objects."""
<|body_0|>
def get_date_to_display(self, obj):
"""Return timesince formatted date."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CommentSerializer:
"""Serializer for Comment model."""
def get_children(self, obj):
"""Return `children` serialized objects."""
data = dj_serializers.serialize('json', obj.children())
json_data = json.loads(data)
for item in json_data:
item['fields']['content_t... | the_stack_v2_python_sparse | comments/serializers.py | arviesan24/social_media | train | 0 |
4316dd648a836b67fd26c58b4a557df4bfffc03e | [
"self.continue_on_error = continue_on_error\nself.is_active = is_active\nself.script_params = script_params\nself.script_path = script_path\nself.timeout_secs = timeout_secs",
"if dictionary is None:\n return None\ncontinue_on_error = dictionary.get('continueOnError')\nis_active = dictionary.get('isActive')\ns... | <|body_start_0|>
self.continue_on_error = continue_on_error
self.is_active = is_active
self.script_params = script_params
self.script_path = script_path
self.timeout_secs = timeout_secs
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
... | Implementation of the 'ScriptPathAndParams' model. A message to encapsulate pre or post script associated with a backup job policy. Attributes: continue_on_error (bool): Applicable only for pre backup scripts. If this flag is set to true, then backup job will start even if the pre backup script fails. is_active (bool):... | ScriptPathAndParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScriptPathAndParams:
"""Implementation of the 'ScriptPathAndParams' model. A message to encapsulate pre or post script associated with a backup job policy. Attributes: continue_on_error (bool): Applicable only for pre backup scripts. If this flag is set to true, then backup job will start even if... | stack_v2_sparse_classes_75kplus_train_068687 | 3,226 | permissive | [
{
"docstring": "Constructor for the ScriptPathAndParams class",
"name": "__init__",
"signature": "def __init__(self, continue_on_error=None, is_active=None, script_params=None, script_path=None, timeout_secs=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dict... | 2 | stack_v2_sparse_classes_30k_train_003771 | Implement the Python class `ScriptPathAndParams` described below.
Class description:
Implementation of the 'ScriptPathAndParams' model. A message to encapsulate pre or post script associated with a backup job policy. Attributes: continue_on_error (bool): Applicable only for pre backup scripts. If this flag is set to t... | Implement the Python class `ScriptPathAndParams` described below.
Class description:
Implementation of the 'ScriptPathAndParams' model. A message to encapsulate pre or post script associated with a backup job policy. Attributes: continue_on_error (bool): Applicable only for pre backup scripts. If this flag is set to t... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ScriptPathAndParams:
"""Implementation of the 'ScriptPathAndParams' model. A message to encapsulate pre or post script associated with a backup job policy. Attributes: continue_on_error (bool): Applicable only for pre backup scripts. If this flag is set to true, then backup job will start even if... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScriptPathAndParams:
"""Implementation of the 'ScriptPathAndParams' model. A message to encapsulate pre or post script associated with a backup job policy. Attributes: continue_on_error (bool): Applicable only for pre backup scripts. If this flag is set to true, then backup job will start even if the pre back... | the_stack_v2_python_sparse | cohesity_management_sdk/models/script_path_and_params.py | cohesity/management-sdk-python | train | 24 |
3b3db13651e78609688a33e3532655c59b7abf38 | [
"\"\"\"The states\"\"\"\nstates = ['Welcome state', 'Pure comment', 'Hybrid comment', 'Lulls comment']\nself.states = states\n'Dict states to index'\nself.states2idx = {k: i for i, k in enumerate(states)}\n'Dict index to state'\nself.id2st = {self.states2idx[k]: k for k in self.states2idx.keys()}\nself.n_states = l... | <|body_start_0|>
"""The states"""
states = ['Welcome state', 'Pure comment', 'Hybrid comment', 'Lulls comment']
self.states = states
'Dict states to index'
self.states2idx = {k: i for i, k in enumerate(states)}
'Dict index to state'
self.id2st = {self.states2idx[k... | CommentAutomata | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommentAutomata:
def __init__(self):
"""Initialize the automata"""
<|body_0|>
def NextState(self):
"""Returns the next state"""
<|body_1|>
def DrawAutomata(self, fn='Commentator Automata.gv'):
"""Writes on file fn (default 'Commentator Automata.g... | stack_v2_sparse_classes_75kplus_train_068688 | 3,627 | no_license | [
{
"docstring": "Initialize the automata",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Returns the next state",
"name": "NextState",
"signature": "def NextState(self)"
},
{
"docstring": "Writes on file fn (default 'Commentator Automata.gv') representat... | 3 | stack_v2_sparse_classes_30k_train_019129 | Implement the Python class `CommentAutomata` described below.
Class description:
Implement the CommentAutomata class.
Method signatures and docstrings:
- def __init__(self): Initialize the automata
- def NextState(self): Returns the next state
- def DrawAutomata(self, fn='Commentator Automata.gv'): Writes on file fn ... | Implement the Python class `CommentAutomata` described below.
Class description:
Implement the CommentAutomata class.
Method signatures and docstrings:
- def __init__(self): Initialize the automata
- def NextState(self): Returns the next state
- def DrawAutomata(self, fn='Commentator Automata.gv'): Writes on file fn ... | e2f42e511b42d82e4330d2afb7ecb172a3b5f7f5 | <|skeleton|>
class CommentAutomata:
def __init__(self):
"""Initialize the automata"""
<|body_0|>
def NextState(self):
"""Returns the next state"""
<|body_1|>
def DrawAutomata(self, fn='Commentator Automata.gv'):
"""Writes on file fn (default 'Commentator Automata.g... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CommentAutomata:
def __init__(self):
"""Initialize the automata"""
"""The states"""
states = ['Welcome state', 'Pure comment', 'Hybrid comment', 'Lulls comment']
self.states = states
'Dict states to index'
self.states2idx = {k: i for i, k in enumerate(states)}
... | the_stack_v2_python_sparse | CommentGenerator/src/Automaton.py | SmartAppUnipi/RoboComment | train | 4 | |
a1389f1fbf319aa1d32f5c14781987aa8aac9afb | [
"super(VAE, self).__init__()\nself.encoder = self.EncoderRNN(input_size, hidden_size)\nself.decoder = self.DecoderRNN(input_size, hidden_size)\nself.input_size = input_size\nself.hidden_size = hidden_size\nself.latent_size = latent_size\nself.conditional_size = conditional_size\nself.max_length = max_length\nself.t... | <|body_start_0|>
super(VAE, self).__init__()
self.encoder = self.EncoderRNN(input_size, hidden_size)
self.decoder = self.DecoderRNN(input_size, hidden_size)
self.input_size = input_size
self.hidden_size = hidden_size
self.latent_size = latent_size
self.conditional... | VAE | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VAE:
def __init__(self, input_size, hidden_size, latent_size, conditional_size, max_length):
""":param input_size: 28 :param hidden_size: 256 or 512 :param latent_size: 32 :param conditional_size: 8"""
<|body_0|>
def forward(self, input_tensor, encoder_hidden_state, encoder_... | stack_v2_sparse_classes_75kplus_train_068689 | 9,452 | no_license | [
{
"docstring": ":param input_size: 28 :param hidden_size: 256 or 512 :param latent_size: 32 :param conditional_size: 8",
"name": "__init__",
"signature": "def __init__(self, input_size, hidden_size, latent_size, conditional_size, max_length)"
},
{
"docstring": "forwarding a word in VAE (This is ... | 5 | stack_v2_sparse_classes_30k_train_053546 | Implement the Python class `VAE` described below.
Class description:
Implement the VAE class.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, latent_size, conditional_size, max_length): :param input_size: 28 :param hidden_size: 256 or 512 :param latent_size: 32 :param conditional_size:... | Implement the Python class `VAE` described below.
Class description:
Implement the VAE class.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, latent_size, conditional_size, max_length): :param input_size: 28 :param hidden_size: 256 or 512 :param latent_size: 32 :param conditional_size:... | de439e62928f1fe8daec7665946ce9133b3d8d7a | <|skeleton|>
class VAE:
def __init__(self, input_size, hidden_size, latent_size, conditional_size, max_length):
""":param input_size: 28 :param hidden_size: 256 or 512 :param latent_size: 32 :param conditional_size: 8"""
<|body_0|>
def forward(self, input_tensor, encoder_hidden_state, encoder_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VAE:
def __init__(self, input_size, hidden_size, latent_size, conditional_size, max_length):
""":param input_size: 28 :param hidden_size: 256 or 512 :param latent_size: 32 :param conditional_size: 8"""
super(VAE, self).__init__()
self.encoder = self.EncoderRNN(input_size, hidden_size)
... | the_stack_v2_python_sparse | Lab5/model.py | Louis5228/DLP-lab | train | 1 | |
0b437f1d9490256469d57263bcc0185705fa5d89 | [
"u = Group.objects.create(name='ADMINISTRACION')\nself.assertTrue(isinstance(u, Group))\nprint('Test de crear perfil, exitoso')",
"c = Client()\nc.login(username='nabil', password='123')\nresp = c.get('/perfil/listar_perfiles/', follow=True)\nself.assertEqual(resp.status_code, 200)\nprint('Test de listado de perf... | <|body_start_0|>
u = Group.objects.create(name='ADMINISTRACION')
self.assertTrue(isinstance(u, Group))
print('Test de crear perfil, exitoso')
<|end_body_0|>
<|body_start_1|>
c = Client()
c.login(username='nabil', password='123')
resp = c.get('/perfil/listar_perfiles/', f... | PerfilTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PerfilTestCase:
def test_crea_perfil(self):
"""Test para verificar la correcta creacion de un rol"""
<|body_0|>
def test_listar_perfiles(self):
"""Test para ver si se listan correctamente los usuarios"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_068690 | 799 | no_license | [
{
"docstring": "Test para verificar la correcta creacion de un rol",
"name": "test_crea_perfil",
"signature": "def test_crea_perfil(self)"
},
{
"docstring": "Test para ver si se listan correctamente los usuarios",
"name": "test_listar_perfiles",
"signature": "def test_listar_perfiles(sel... | 2 | stack_v2_sparse_classes_30k_train_023641 | Implement the Python class `PerfilTestCase` described below.
Class description:
Implement the PerfilTestCase class.
Method signatures and docstrings:
- def test_crea_perfil(self): Test para verificar la correcta creacion de un rol
- def test_listar_perfiles(self): Test para ver si se listan correctamente los usuarios | Implement the Python class `PerfilTestCase` described below.
Class description:
Implement the PerfilTestCase class.
Method signatures and docstrings:
- def test_crea_perfil(self): Test para verificar la correcta creacion de un rol
- def test_listar_perfiles(self): Test para ver si se listan correctamente los usuarios... | bd4e55661f7897d2294a27ce240c044192385102 | <|skeleton|>
class PerfilTestCase:
def test_crea_perfil(self):
"""Test para verificar la correcta creacion de un rol"""
<|body_0|>
def test_listar_perfiles(self):
"""Test para ver si se listan correctamente los usuarios"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PerfilTestCase:
def test_crea_perfil(self):
"""Test para verificar la correcta creacion de un rol"""
u = Group.objects.create(name='ADMINISTRACION')
self.assertTrue(isinstance(u, Group))
print('Test de crear perfil, exitoso')
def test_listar_perfiles(self):
"""Test... | the_stack_v2_python_sparse | apps/perfil/tests.py | nabilchamas/is2 | train | 0 | |
9e091423a24d47f6182a097bbf65e22221b80083 | [
"super(SimplePatchShadow, self).__init__(offset)\nif shadow_rgbFace is None:\n self._shadow_rgbFace = shadow_rgbFace\nelse:\n self._shadow_rgbFace = mcolors.to_rgba(shadow_rgbFace)\nif alpha is None:\n alpha = 0.3\nself._alpha = alpha\nself._rho = rho\nself._gc = kwargs\nself._offset_tran = mtransforms.Aff... | <|body_start_0|>
super(SimplePatchShadow, self).__init__(offset)
if shadow_rgbFace is None:
self._shadow_rgbFace = shadow_rgbFace
else:
self._shadow_rgbFace = mcolors.to_rgba(shadow_rgbFace)
if alpha is None:
alpha = 0.3
self._alpha = alpha
... | A simple shadow via a filled patch. | SimplePatchShadow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimplePatchShadow:
"""A simple shadow via a filled patch."""
def __init__(self, offset=(2, -2), shadow_rgbFace=None, alpha=None, rho=0.3, **kwargs):
"""Parameters ---------- offset : pair of floats The offset of the shadow in points. shadow_rgbFace : color The shadow color. alpha : f... | stack_v2_sparse_classes_75kplus_train_068691 | 14,346 | permissive | [
{
"docstring": "Parameters ---------- offset : pair of floats The offset of the shadow in points. shadow_rgbFace : color The shadow color. alpha : float The alpha transparency of the created shadow patch. Default is 0.3. http://matplotlib.1069221.n5.nabble.com/path-effects-question-td27630.html rho : float A sc... | 2 | stack_v2_sparse_classes_30k_val_000067 | Implement the Python class `SimplePatchShadow` described below.
Class description:
A simple shadow via a filled patch.
Method signatures and docstrings:
- def __init__(self, offset=(2, -2), shadow_rgbFace=None, alpha=None, rho=0.3, **kwargs): Parameters ---------- offset : pair of floats The offset of the shadow in p... | Implement the Python class `SimplePatchShadow` described below.
Class description:
A simple shadow via a filled patch.
Method signatures and docstrings:
- def __init__(self, offset=(2, -2), shadow_rgbFace=None, alpha=None, rho=0.3, **kwargs): Parameters ---------- offset : pair of floats The offset of the shadow in p... | f5042e35b945aded77b23470ead62d7eacefde92 | <|skeleton|>
class SimplePatchShadow:
"""A simple shadow via a filled patch."""
def __init__(self, offset=(2, -2), shadow_rgbFace=None, alpha=None, rho=0.3, **kwargs):
"""Parameters ---------- offset : pair of floats The offset of the shadow in points. shadow_rgbFace : color The shadow color. alpha : f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimplePatchShadow:
"""A simple shadow via a filled patch."""
def __init__(self, offset=(2, -2), shadow_rgbFace=None, alpha=None, rho=0.3, **kwargs):
"""Parameters ---------- offset : pair of floats The offset of the shadow in points. shadow_rgbFace : color The shadow color. alpha : float The alph... | the_stack_v2_python_sparse | contrib/python/matplotlib/py2/matplotlib/patheffects.py | catboost/catboost | train | 8,012 |
ed41bfc5515008d62eee2b4e11ec55f39c8710c4 | [
"query = request.GET.get('q')\nsort = request.GET.get('sort', 'name')\nasearch = Server.objects.filter(id=kwargs['id']).first()\nform = ServerEditForm(instance=asearch)\nlist_server = None\nif query:\n list_server = Server.objects.filter(Q(name__icontains=query))\nelse:\n list_server = Server.objects.all()\np... | <|body_start_0|>
query = request.GET.get('q')
sort = request.GET.get('sort', 'name')
asearch = Server.objects.filter(id=kwargs['id']).first()
form = ServerEditForm(instance=asearch)
list_server = None
if query:
list_server = Server.objects.filter(Q(name__icont... | Clase para editar los servidores | ServerEditView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServerEditView:
"""Clase para editar los servidores"""
def get(self, request, *args, **kwargs):
"""Método get"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Método post"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
query = request.... | stack_v2_sparse_classes_75kplus_train_068692 | 22,221 | no_license | [
{
"docstring": "Método get",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Método post",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_024820 | Implement the Python class `ServerEditView` described below.
Class description:
Clase para editar los servidores
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Método get
- def post(self, request, *args, **kwargs): Método post | Implement the Python class `ServerEditView` described below.
Class description:
Clase para editar los servidores
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Método get
- def post(self, request, *args, **kwargs): Método post
<|skeleton|>
class ServerEditView:
"""Clase para editar ... | e28e2d968372609ad396c42fb572a00c2410a117 | <|skeleton|>
class ServerEditView:
"""Clase para editar los servidores"""
def get(self, request, *args, **kwargs):
"""Método get"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Método post"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ServerEditView:
"""Clase para editar los servidores"""
def get(self, request, *args, **kwargs):
"""Método get"""
query = request.GET.get('q')
sort = request.GET.get('sort', 'name')
asearch = Server.objects.filter(id=kwargs['id']).first()
form = ServerEditForm(insta... | the_stack_v2_python_sparse | list/views.py | damaos/server_list2 | train | 0 |
82678b581f2e4d50cda3152633fcc27489cde60d | [
"self.A = mat_params['A']\nself.B = mat_params['B']\nself.C = mat_params['C']\nself.thickness = thickness\nself.name = name",
"n = np.sqrt(self.A + self.B * w ** 2 / (w ** 2 - self.C))\nk = 2 * PI * n / w\ntheta = k * self.thickness\nM = np.array([[np.cos(theta), 1j * np.sin(theta) / n], [1j * n * np.sin(theta), ... | <|body_start_0|>
self.A = mat_params['A']
self.B = mat_params['B']
self.C = mat_params['C']
self.thickness = thickness
self.name = name
<|end_body_0|>
<|body_start_1|>
n = np.sqrt(self.A + self.B * w ** 2 / (w ** 2 - self.C))
k = 2 * PI * n / w
theta = k ... | SellmeierLayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SellmeierLayer:
def __init__(self, mat_params, thickness, name=None):
"""SellmeierLayer(mat_params, thickness, name=None)"""
<|body_0|>
def matrix(self, w):
"""matrix(w) Generate transmission matrix for layer for wavelength w"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_068693 | 13,406 | no_license | [
{
"docstring": "SellmeierLayer(mat_params, thickness, name=None)",
"name": "__init__",
"signature": "def __init__(self, mat_params, thickness, name=None)"
},
{
"docstring": "matrix(w) Generate transmission matrix for layer for wavelength w",
"name": "matrix",
"signature": "def matrix(sel... | 2 | stack_v2_sparse_classes_30k_train_037089 | Implement the Python class `SellmeierLayer` described below.
Class description:
Implement the SellmeierLayer class.
Method signatures and docstrings:
- def __init__(self, mat_params, thickness, name=None): SellmeierLayer(mat_params, thickness, name=None)
- def matrix(self, w): matrix(w) Generate transmission matrix f... | Implement the Python class `SellmeierLayer` described below.
Class description:
Implement the SellmeierLayer class.
Method signatures and docstrings:
- def __init__(self, mat_params, thickness, name=None): SellmeierLayer(mat_params, thickness, name=None)
- def matrix(self, w): matrix(w) Generate transmission matrix f... | dff2309d3b6809066526d67695a6744e7c4234ff | <|skeleton|>
class SellmeierLayer:
def __init__(self, mat_params, thickness, name=None):
"""SellmeierLayer(mat_params, thickness, name=None)"""
<|body_0|>
def matrix(self, w):
"""matrix(w) Generate transmission matrix for layer for wavelength w"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SellmeierLayer:
def __init__(self, mat_params, thickness, name=None):
"""SellmeierLayer(mat_params, thickness, name=None)"""
self.A = mat_params['A']
self.B = mat_params['B']
self.C = mat_params['C']
self.thickness = thickness
self.name = name
def matrix(se... | the_stack_v2_python_sparse | AGTools/Optics/BraggStackModel.py | ahgibbons/AGTools | train | 0 | |
6d86cb4dea10bbdeda6d0ec1638b00c21f5eb51b | [
"tag_dict = dict()\nmi = MonitoracaoInterfaces(ix=self.ix)\nv4_vlan_regex = compile('as\\\\d+-tr(\\\\s|\\\\-\\\\d+)')\nv6_vlan_regex = compile('as\\\\d+-tr-v6(\\\\s|\\\\-\\\\d+)')\ntag_id_regex = compile('\\\\((\\\\d+)\\\\)')\nsw_list = self.get_all_switches()\nfor switch in sw_list:\n for port in switch.port_se... | <|body_start_0|>
tag_dict = dict()
mi = MonitoracaoInterfaces(ix=self.ix)
v4_vlan_regex = compile('as\\d+-tr(\\s|\\-\\d+)')
v6_vlan_regex = compile('as\\d+-tr-v6(\\s|\\-\\d+)')
tag_id_regex = compile('\\((\\d+)\\)')
sw_list = self.get_all_switches()
for switch in ... | This class defines queries relates to VLAN Allocation | AlocacaoDeVlans | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlocacaoDeVlans:
"""This class defines queries relates to VLAN Allocation"""
def get_production_vlans_name(self):
"""This method gets the vlan names used by nikiti, generated by method get_port_status, implemented in MonitoracaoInterfaces class. Returns: A dict with vlan name and the... | stack_v2_sparse_classes_75kplus_train_068694 | 17,741 | permissive | [
{
"docstring": "This method gets the vlan names used by nikiti, generated by method get_port_status, implemented in MonitoracaoInterfaces class. Returns: A dict with vlan name and the tag id. tag_dict = { 'as1234-tr': '2010', 'as4321-tr-v6': '2011' ... }",
"name": "get_production_vlans_name",
"signature... | 2 | stack_v2_sparse_classes_30k_train_028254 | Implement the Python class `AlocacaoDeVlans` described below.
Class description:
This class defines queries relates to VLAN Allocation
Method signatures and docstrings:
- def get_production_vlans_name(self): This method gets the vlan names used by nikiti, generated by method get_port_status, implemented in Monitoraca... | Implement the Python class `AlocacaoDeVlans` described below.
Class description:
This class defines queries relates to VLAN Allocation
Method signatures and docstrings:
- def get_production_vlans_name(self): This method gets the vlan names used by nikiti, generated by method get_port_status, implemented in Monitoraca... | 6ed8cec23b06bccb1edf57e6b67af017f9a162d3 | <|skeleton|>
class AlocacaoDeVlans:
"""This class defines queries relates to VLAN Allocation"""
def get_production_vlans_name(self):
"""This method gets the vlan names used by nikiti, generated by method get_port_status, implemented in MonitoracaoInterfaces class. Returns: A dict with vlan name and the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlocacaoDeVlans:
"""This class defines queries relates to VLAN Allocation"""
def get_production_vlans_name(self):
"""This method gets the vlan names used by nikiti, generated by method get_port_status, implemented in MonitoracaoInterfaces class. Returns: A dict with vlan name and the tag id. tag_... | the_stack_v2_python_sparse | ipaxi/ixbr_api/core/utils/nikiti/queries.py | tatubola/xpto | train | 0 |
471c02e0b1c3c61658bf1b20b8b9e89c69aba3a2 | [
"driver = obj.driver\nif self.locator[0] != 'css selector':\n raise 'Using a locator other than css'\nWebDriverWait(driver, 100).until(lambda driver: driver.find_element_by_css_selector(self.locator[1]))\ndriver.find_element_by_css_selector(self.locator[1]).send_keys(value)",
"driver = obj.driver\nif self.loca... | <|body_start_0|>
driver = obj.driver
if self.locator[0] != 'css selector':
raise 'Using a locator other than css'
WebDriverWait(driver, 100).until(lambda driver: driver.find_element_by_css_selector(self.locator[1]))
driver.find_element_by_css_selector(self.locator[1]).send_ke... | Base page class that is initialized on every page object class. | BasePageElement | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasePageElement:
"""Base page class that is initialized on every page object class."""
def __set__(self, obj, value):
"""Sets the text to the value supplied"""
<|body_0|>
def __get__(self, obj, owner):
"""Gets the text of the specified object"""
<|body_1|... | stack_v2_sparse_classes_75kplus_train_068695 | 1,105 | no_license | [
{
"docstring": "Sets the text to the value supplied",
"name": "__set__",
"signature": "def __set__(self, obj, value)"
},
{
"docstring": "Gets the text of the specified object",
"name": "__get__",
"signature": "def __get__(self, obj, owner)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027080 | Implement the Python class `BasePageElement` described below.
Class description:
Base page class that is initialized on every page object class.
Method signatures and docstrings:
- def __set__(self, obj, value): Sets the text to the value supplied
- def __get__(self, obj, owner): Gets the text of the specified object | Implement the Python class `BasePageElement` described below.
Class description:
Base page class that is initialized on every page object class.
Method signatures and docstrings:
- def __set__(self, obj, value): Sets the text to the value supplied
- def __get__(self, obj, owner): Gets the text of the specified object... | 43ab187a9bca4c56d6005a46725c56f39949fceb | <|skeleton|>
class BasePageElement:
"""Base page class that is initialized on every page object class."""
def __set__(self, obj, value):
"""Sets the text to the value supplied"""
<|body_0|>
def __get__(self, obj, owner):
"""Gets the text of the specified object"""
<|body_1|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BasePageElement:
"""Base page class that is initialized on every page object class."""
def __set__(self, obj, value):
"""Sets the text to the value supplied"""
driver = obj.driver
if self.locator[0] != 'css selector':
raise 'Using a locator other than css'
WebD... | the_stack_v2_python_sparse | skynet/driver/base_page_element.py | bsterrett/ye_olde_skynet | train | 3 |
e2ec6d150340e21b649ad4809de0016aed15358a | [
"self.HumiditySensor = HumiditySensorAdapterTask.HumiditySensorAdapterTask()\nself.HI2CSensor = HI2CSensorAdapterTask.HI2CSensorAdapterTask()\nself.dataManager = SensorDataManager.SensorDataManager()\nself.loop_limit = loop_param\nself.sleep_time = sleep_param",
"i = 0\ntry:\n while i < self.loop_limit or self... | <|body_start_0|>
self.HumiditySensor = HumiditySensorAdapterTask.HumiditySensorAdapterTask()
self.HI2CSensor = HI2CSensorAdapterTask.HI2CSensorAdapterTask()
self.dataManager = SensorDataManager.SensorDataManager()
self.loop_limit = loop_param
self.sleep_time = sleep_param
<|end_b... | Method to run TempSensorAdapterTask takes in sleeptime and looptime in the constructors has a bunch of settings to control the program behavior with | MultiSensorAdapter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiSensorAdapter:
"""Method to run TempSensorAdapterTask takes in sleeptime and looptime in the constructors has a bunch of settings to control the program behavior with"""
def __init__(self, loop_param=10, sleep_param=1):
"""Constructor Initializing both the sensor tasks and a dat... | stack_v2_sparse_classes_75kplus_train_068696 | 4,517 | no_license | [
{
"docstring": "Constructor Initializing both the sensor tasks and a data manager.",
"name": "__init__",
"signature": "def __init__(self, loop_param=10, sleep_param=1)"
},
{
"docstring": "Initialize threads",
"name": "__init_threads__",
"signature": "def __init_threads__(self)"
},
{
... | 3 | stack_v2_sparse_classes_30k_val_001768 | Implement the Python class `MultiSensorAdapter` described below.
Class description:
Method to run TempSensorAdapterTask takes in sleeptime and looptime in the constructors has a bunch of settings to control the program behavior with
Method signatures and docstrings:
- def __init__(self, loop_param=10, sleep_param=1):... | Implement the Python class `MultiSensorAdapter` described below.
Class description:
Method to run TempSensorAdapterTask takes in sleeptime and looptime in the constructors has a bunch of settings to control the program behavior with
Method signatures and docstrings:
- def __init__(self, loop_param=10, sleep_param=1):... | dfd5fd8c757cae8b1306ae3e4eb2cfc9bf124fee | <|skeleton|>
class MultiSensorAdapter:
"""Method to run TempSensorAdapterTask takes in sleeptime and looptime in the constructors has a bunch of settings to control the program behavior with"""
def __init__(self, loop_param=10, sleep_param=1):
"""Constructor Initializing both the sensor tasks and a dat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiSensorAdapter:
"""Method to run TempSensorAdapterTask takes in sleeptime and looptime in the constructors has a bunch of settings to control the program behavior with"""
def __init__(self, loop_param=10, sleep_param=1):
"""Constructor Initializing both the sensor tasks and a data manager."""... | the_stack_v2_python_sparse | apps/labs/module04/MultiSensorAdapter.py | mnk400/iot-device | train | 0 |
d57c5662e9afd6e663b4739cae0d3f0615af79e1 | [
"if not root:\n return False\nself.target = sum\nself.exists = False\n\ndef dfs(node):\n print(node.val)\n if self.exists:\n return\n self.target -= node.val\n if node.left or node.right:\n if node.left:\n dfs(node.left)\n if node.right:\n dfs(node.right)\n ... | <|body_start_0|>
if not root:
return False
self.target = sum
self.exists = False
def dfs(node):
print(node.val)
if self.exists:
return
self.target -= node.val
if node.left or node.right:
if node.... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hasPathSum(self, root, sum):
""":type root: TreeNode :type sum: int :rtype: bool"""
<|body_0|>
def hasPathSum2(self, root, sum):
"""Recursively check sub trees. :type root: TreeNode :type sum: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_75kplus_train_068697 | 2,744 | no_license | [
{
"docstring": ":type root: TreeNode :type sum: int :rtype: bool",
"name": "hasPathSum",
"signature": "def hasPathSum(self, root, sum)"
},
{
"docstring": "Recursively check sub trees. :type root: TreeNode :type sum: int :rtype: bool",
"name": "hasPathSum2",
"signature": "def hasPathSum2(... | 2 | stack_v2_sparse_classes_30k_train_017065 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasPathSum(self, root, sum): :type root: TreeNode :type sum: int :rtype: bool
- def hasPathSum2(self, root, sum): Recursively check sub trees. :type root: TreeNode :type sum:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasPathSum(self, root, sum): :type root: TreeNode :type sum: int :rtype: bool
- def hasPathSum2(self, root, sum): Recursively check sub trees. :type root: TreeNode :type sum:... | dbdb227e12f329e4ca064b338f1fbdca42f3a848 | <|skeleton|>
class Solution:
def hasPathSum(self, root, sum):
""":type root: TreeNode :type sum: int :rtype: bool"""
<|body_0|>
def hasPathSum2(self, root, sum):
"""Recursively check sub trees. :type root: TreeNode :type sum: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def hasPathSum(self, root, sum):
""":type root: TreeNode :type sum: int :rtype: bool"""
if not root:
return False
self.target = sum
self.exists = False
def dfs(node):
print(node.val)
if self.exists:
return
... | the_stack_v2_python_sparse | LC112.py | Qiao-Liang/LeetCode | train | 0 | |
f46ae16d0f24258c72eb83c697dab4b5e2aecb0d | [
"def _item_to_string(key, value):\n return '%s=\"%s\"' % (key, value)\nv = [_item_to_string(key, value) for key, value in ce.items()]\nreturn ' '.join(v)",
"if build_target.system == build_system.ANDROID:\n from ._toolchain_android_standalone import _toolchain_android_standalone as _toolchain_android\n r... | <|body_start_0|>
def _item_to_string(key, value):
return '%s="%s"' % (key, value)
v = [_item_to_string(key, value) for key, value in ce.items()]
return ' '.join(v)
<|end_body_0|>
<|body_start_1|>
if build_target.system == build_system.ANDROID:
from ._toolchain_an... | Foo. | toolchain | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class toolchain:
"""Foo."""
def flatten_for_shell(clazz, ce):
"""Return the compiler environment flattened and escaped for usage with shell commands."""
<|body_0|>
def get_toolchain(clazz, build_target):
"""Return the toolchain for this particular build target."""
... | stack_v2_sparse_classes_75kplus_train_068698 | 1,352 | permissive | [
{
"docstring": "Return the compiler environment flattened and escaped for usage with shell commands.",
"name": "flatten_for_shell",
"signature": "def flatten_for_shell(clazz, ce)"
},
{
"docstring": "Return the toolchain for this particular build target.",
"name": "get_toolchain",
"signat... | 2 | stack_v2_sparse_classes_30k_train_050079 | Implement the Python class `toolchain` described below.
Class description:
Foo.
Method signatures and docstrings:
- def flatten_for_shell(clazz, ce): Return the compiler environment flattened and escaped for usage with shell commands.
- def get_toolchain(clazz, build_target): Return the toolchain for this particular ... | Implement the Python class `toolchain` described below.
Class description:
Foo.
Method signatures and docstrings:
- def flatten_for_shell(clazz, ce): Return the compiler environment flattened and escaped for usage with shell commands.
- def get_toolchain(clazz, build_target): Return the toolchain for this particular ... | 501e0897962297c5ce745784bfcba3889508e927 | <|skeleton|>
class toolchain:
"""Foo."""
def flatten_for_shell(clazz, ce):
"""Return the compiler environment flattened and escaped for usage with shell commands."""
<|body_0|>
def get_toolchain(clazz, build_target):
"""Return the toolchain for this particular build target."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class toolchain:
"""Foo."""
def flatten_for_shell(clazz, ce):
"""Return the compiler environment flattened and escaped for usage with shell commands."""
def _item_to_string(key, value):
return '%s="%s"' % (key, value)
v = [_item_to_string(key, value) for key, value in ce.ite... | the_stack_v2_python_sparse | lib/rebuild/toolchain/toolchain.py | reconstruir/rebuild | train | 0 |
ff6868c40b4bd30e0e3d2654f6f0ff7f5eb29cda | [
"try:\n dhcpController = DhcpController()\n json_data = json.dumps(dhcpController.get_dhcp_server_configuration_section_end_ip(id))\n resp = Response(json_data, status=200, mimetype='application/json')\n return resp\nexcept ValueError as ve:\n return Response(json.dumps(str(ve)), status=404, mimetype... | <|body_start_0|>
try:
dhcpController = DhcpController()
json_data = json.dumps(dhcpController.get_dhcp_server_configuration_section_end_ip(id))
resp = Response(json_data, status=200, mimetype='application/json')
return resp
except ValueError as ve:
... | DhcpServer_Configuration_Section_EndIP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DhcpServer_Configuration_Section_EndIP:
def get(self, id):
"""Gets the section end ip parameter"""
<|body_0|>
def put(self, id):
"""Update the section end ip parameter"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
dhcpController =... | stack_v2_sparse_classes_75kplus_train_068699 | 20,424 | no_license | [
{
"docstring": "Gets the section end ip parameter",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Update the section end ip parameter",
"name": "put",
"signature": "def put(self, id)"
}
] | 2 | null | Implement the Python class `DhcpServer_Configuration_Section_EndIP` described below.
Class description:
Implement the DhcpServer_Configuration_Section_EndIP class.
Method signatures and docstrings:
- def get(self, id): Gets the section end ip parameter
- def put(self, id): Update the section end ip parameter | Implement the Python class `DhcpServer_Configuration_Section_EndIP` described below.
Class description:
Implement the DhcpServer_Configuration_Section_EndIP class.
Method signatures and docstrings:
- def get(self, id): Gets the section end ip parameter
- def put(self, id): Update the section end ip parameter
<|skele... | 6070e3cb6bf957e04f5d8267db11f3296410e18e | <|skeleton|>
class DhcpServer_Configuration_Section_EndIP:
def get(self, id):
"""Gets the section end ip parameter"""
<|body_0|>
def put(self, id):
"""Update the section end ip parameter"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DhcpServer_Configuration_Section_EndIP:
def get(self, id):
"""Gets the section end ip parameter"""
try:
dhcpController = DhcpController()
json_data = json.dumps(dhcpController.get_dhcp_server_configuration_section_end_ip(id))
resp = Response(json_data, statu... | the_stack_v2_python_sparse | configuration-agent/dhcp/rest_api/resources/dhcp_server.py | ReliableLion/frog4-configurable-vnf | train | 0 |
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