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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fe39b800005afdc1ebf100eb9aabeef894f7a93d | [
"if not root:\n return 0\nheight = 0\ncurr_node = root\nwhile curr_node:\n height += 1\n curr_node = curr_node.left\nreturn 2 ** (height - 1) - 1 + self.helper(root, height)",
"if not root:\n return 0\nif height == 1:\n return 1\nmid_node = root.left\ncurr_height = 2\nwhile curr_height < height:\n ... | <|body_start_0|>
if not root:
return 0
height = 0
curr_node = root
while curr_node:
height += 1
curr_node = curr_node.left
return 2 ** (height - 1) - 1 + self.helper(root, height)
<|end_body_0|>
<|body_start_1|>
if not root:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countNodes(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def helper(self, root, height):
"""count nodes in last level binary-search"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
return 0
... | stack_v2_sparse_classes_75kplus_train_074700 | 1,077 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "countNodes",
"signature": "def countNodes(self, root)"
},
{
"docstring": "count nodes in last level binary-search",
"name": "helper",
"signature": "def helper(self, root, height)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047537 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root): :type root: TreeNode :rtype: int
- def helper(self, root, height): count nodes in last level binary-search | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root): :type root: TreeNode :rtype: int
- def helper(self, root, height): count nodes in last level binary-search
<|skeleton|>
class Solution:
def coun... | e7b1dcc8b8a33bbe705d9ce348c75ea2474761c4 | <|skeleton|>
class Solution:
def countNodes(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def helper(self, root, height):
"""count nodes in last level binary-search"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def countNodes(self, root):
""":type root: TreeNode :rtype: int"""
if not root:
return 0
height = 0
curr_node = root
while curr_node:
height += 1
curr_node = curr_node.left
return 2 ** (height - 1) - 1 + self.helper(... | the_stack_v2_python_sparse | tree/leetcode_count_complete_tree_nodes.py | psy2013GitHub/dsa | train | 0 | |
4e0fce450eef1a9037bdda5aebbd29cbad00a8b2 | [
"def dfs(node):\n if node not in visited:\n visited.add(node)\n for i, val in enumerate(M[node]):\n if i != node and val == 1:\n dfs(i)\nvisited = set()\ncnt = 0\nfor i in range(len(M)):\n if i not in visited:\n dfs(i)\n cnt += 1\nreturn cnt",
"def dfs(n... | <|body_start_0|>
def dfs(node):
if node not in visited:
visited.add(node)
for i, val in enumerate(M[node]):
if i != node and val == 1:
dfs(i)
visited = set()
cnt = 0
for i in range(len(M)):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findCircleNum(self, M):
""":type M: List[List[int]] :rtype: int"""
<|body_0|>
def rewrite(self, M):
""":type M: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def dfs(node):
if node not in visit... | stack_v2_sparse_classes_75kplus_train_074701 | 2,471 | no_license | [
{
"docstring": ":type M: List[List[int]] :rtype: int",
"name": "findCircleNum",
"signature": "def findCircleNum(self, M)"
},
{
"docstring": ":type M: List[List[int]] :rtype: int",
"name": "rewrite",
"signature": "def rewrite(self, M)"
}
] | 2 | stack_v2_sparse_classes_30k_train_030947 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findCircleNum(self, M): :type M: List[List[int]] :rtype: int
- def rewrite(self, M): :type M: List[List[int]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findCircleNum(self, M): :type M: List[List[int]] :rtype: int
- def rewrite(self, M): :type M: List[List[int]] :rtype: int
<|skeleton|>
class Solution:
def findCircleNum... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def findCircleNum(self, M):
""":type M: List[List[int]] :rtype: int"""
<|body_0|>
def rewrite(self, M):
""":type M: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findCircleNum(self, M):
""":type M: List[List[int]] :rtype: int"""
def dfs(node):
if node not in visited:
visited.add(node)
for i, val in enumerate(M[node]):
if i != node and val == 1:
dfs(i)
... | the_stack_v2_python_sparse | depth-first-search/547_Friend_Circles.py | vsdrun/lc_public | train | 6 | |
c9660ba2502d1607000c9d4834f718f3e4845a60 | [
"if not user_id:\n raise ValueError('User ID not informed.')\nself.id = user_id\nfor field in self._fields:\n setattr(self, field, data.get(field))",
"fields = self._fields\ndata = {field: getattr(self, field, None) for field in fields}\ndata['id'] = self.id\nreturn data"
] | <|body_start_0|>
if not user_id:
raise ValueError('User ID not informed.')
self.id = user_id
for field in self._fields:
setattr(self, field, data.get(field))
<|end_body_0|>
<|body_start_1|>
fields = self._fields
data = {field: getattr(self, field, None) f... | User object with basic fields. | BaseUser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseUser:
"""User object with basic fields."""
def __init__(self, user_id, data):
"""Initialize object from JWT token using pyramid jwt claims."""
<|body_0|>
def to_dict(self) -> dict:
"""Create a dict representation of current user. :return: dict serializable us... | stack_v2_sparse_classes_75kplus_train_074702 | 816 | no_license | [
{
"docstring": "Initialize object from JWT token using pyramid jwt claims.",
"name": "__init__",
"signature": "def __init__(self, user_id, data)"
},
{
"docstring": "Create a dict representation of current user. :return: dict serializable user data",
"name": "to_dict",
"signature": "def t... | 2 | stack_v2_sparse_classes_30k_test_000481 | Implement the Python class `BaseUser` described below.
Class description:
User object with basic fields.
Method signatures and docstrings:
- def __init__(self, user_id, data): Initialize object from JWT token using pyramid jwt claims.
- def to_dict(self) -> dict: Create a dict representation of current user. :return:... | Implement the Python class `BaseUser` described below.
Class description:
User object with basic fields.
Method signatures and docstrings:
- def __init__(self, user_id, data): Initialize object from JWT token using pyramid jwt claims.
- def to_dict(self) -> dict: Create a dict representation of current user. :return:... | 0f27d5de4b04fe1d0ce2c2c9ccd3f2893b833128 | <|skeleton|>
class BaseUser:
"""User object with basic fields."""
def __init__(self, user_id, data):
"""Initialize object from JWT token using pyramid jwt claims."""
<|body_0|>
def to_dict(self) -> dict:
"""Create a dict representation of current user. :return: dict serializable us... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseUser:
"""User object with basic fields."""
def __init__(self, user_id, data):
"""Initialize object from JWT token using pyramid jwt claims."""
if not user_id:
raise ValueError('User ID not informed.')
self.id = user_id
for field in self._fields:
... | the_stack_v2_python_sparse | src/briefy/common/types.py | BriefyHQ/briefy.common | train | 0 |
dfe9b194a6a3e2cffe92818259e2122a048825ef | [
"self.category = category\nif self.category.picture != '':\n response = requests.get(self.category.picture)\n self.image = Image.open(BytesIO(response.content))\nelse:\n raise CategoryNoPictureException()\nself.image_name = self.category.name.replace(' ', '-').replace('/', '') + '.' + str(self.image.format... | <|body_start_0|>
self.category = category
if self.category.picture != '':
response = requests.get(self.category.picture)
self.image = Image.open(BytesIO(response.content))
else:
raise CategoryNoPictureException()
self.image_name = self.category.name.re... | CategoryPictureCompressor Class that resizes categories' picture and save them in media directory | CategoryPictureResizer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CategoryPictureResizer:
"""CategoryPictureCompressor Class that resizes categories' picture and save them in media directory"""
def __init__(self, category):
"""Initial class method that gets category instance and downloads its picture from the `picture` URLField, creates a unique na... | stack_v2_sparse_classes_75kplus_train_074703 | 15,418 | no_license | [
{
"docstring": "Initial class method that gets category instance and downloads its picture from the `picture` URLField, creates a unique name for the picture and keep it for next operations. :param category: the category which we are going to work with.",
"name": "__init__",
"signature": "def __init__(s... | 4 | stack_v2_sparse_classes_30k_test_000309 | Implement the Python class `CategoryPictureResizer` described below.
Class description:
CategoryPictureCompressor Class that resizes categories' picture and save them in media directory
Method signatures and docstrings:
- def __init__(self, category): Initial class method that gets category instance and downloads its... | Implement the Python class `CategoryPictureResizer` described below.
Class description:
CategoryPictureCompressor Class that resizes categories' picture and save them in media directory
Method signatures and docstrings:
- def __init__(self, category): Initial class method that gets category instance and downloads its... | 4a63d6b05d12db33e9f3e8da6d9a15815d12f298 | <|skeleton|>
class CategoryPictureResizer:
"""CategoryPictureCompressor Class that resizes categories' picture and save them in media directory"""
def __init__(self, category):
"""Initial class method that gets category instance and downloads its picture from the `picture` URLField, creates a unique na... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CategoryPictureResizer:
"""CategoryPictureCompressor Class that resizes categories' picture and save them in media directory"""
def __init__(self, category):
"""Initial class method that gets category instance and downloads its picture from the `picture` URLField, creates a unique name for the pi... | the_stack_v2_python_sparse | Old_commands/hi.py | webclinic017/DjangoImageSystem | train | 0 |
99a588fd1b3c8e7defae24d01c4ae7e08c5fb5c1 | [
"if num_pixels is None and quantile is None:\n raise ValueError('either num_pixels or quantile must be given')\nself.num_pixels: float = num_pixels\n'Number of pixels with highest values to set to one.'\nself.quantile: float = quantile\n'Quantile of pixels to set to one, rest is set to 0;\\n overridden by... | <|body_start_0|>
if num_pixels is None and quantile is None:
raise ValueError('either num_pixels or quantile must be given')
self.num_pixels: float = num_pixels
'Number of pixels with highest values to set to one.'
self.quantile: float = quantile
'Quantile of pixels t... | Set all but the given highest number of pixels / q-th quantile in an image to zero, rest to 1. Mind for RGB images: A pixel here means a pixel in one channel. | BinarizeByQuantile | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinarizeByQuantile:
"""Set all but the given highest number of pixels / q-th quantile in an image to zero, rest to 1. Mind for RGB images: A pixel here means a pixel in one channel."""
def __init__(self, quantile: float=None, num_pixels: int=None):
"""Init. :param quantile: quantile ... | stack_v2_sparse_classes_75kplus_train_074704 | 14,707 | permissive | [
{
"docstring": "Init. :param quantile: quantile of pixels to set to 1, rest is set to 0; overridden by ``num_pixels`` :param num_pixels: number of pixels with highest value to set to one, rest is set to 0",
"name": "__init__",
"signature": "def __init__(self, quantile: float=None, num_pixels: int=None)"... | 3 | stack_v2_sparse_classes_30k_train_028477 | Implement the Python class `BinarizeByQuantile` described below.
Class description:
Set all but the given highest number of pixels / q-th quantile in an image to zero, rest to 1. Mind for RGB images: A pixel here means a pixel in one channel.
Method signatures and docstrings:
- def __init__(self, quantile: float=None... | Implement the Python class `BinarizeByQuantile` described below.
Class description:
Set all but the given highest number of pixels / q-th quantile in an image to zero, rest to 1. Mind for RGB images: A pixel here means a pixel in one channel.
Method signatures and docstrings:
- def __init__(self, quantile: float=None... | 37b9fc83d7b14902dfe92e0c45071c150bcf3779 | <|skeleton|>
class BinarizeByQuantile:
"""Set all but the given highest number of pixels / q-th quantile in an image to zero, rest to 1. Mind for RGB images: A pixel here means a pixel in one channel."""
def __init__(self, quantile: float=None, num_pixels: int=None):
"""Init. :param quantile: quantile ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BinarizeByQuantile:
"""Set all but the given highest number of pixels / q-th quantile in an image to zero, rest to 1. Mind for RGB images: A pixel here means a pixel in one channel."""
def __init__(self, quantile: float=None, num_pixels: int=None):
"""Init. :param quantile: quantile of pixels to ... | the_stack_v2_python_sparse | hybrid_learning/datasets/transforms/image_transforms.py | JohnnyZhang917/hybrid_learning | train | 0 |
9eeec201390b6d6f71793315d9ded7b4b81d8aa5 | [
"logging.info('========== choose_act ==========')\nWebDriverWait(self.driver, 20).until(lambda x: x.find_element_by_id(self.act_choose_id))\nself.driver.find_element_by_id(self.act_choose_id).click()\nsleep(1)\nacts = self.driver.find_elements_by_class_name(self.check_label_class)\nrandom.choice(acts).click()\nslee... | <|body_start_0|>
logging.info('========== choose_act ==========')
WebDriverWait(self.driver, 20).until(lambda x: x.find_element_by_id(self.act_choose_id))
self.driver.find_element_by_id(self.act_choose_id).click()
sleep(1)
acts = self.driver.find_elements_by_class_name(self.check... | 活动基类，封装一些公共方法 | ActivityCommon | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActivityCommon:
"""活动基类，封装一些公共方法"""
def choose_act(self):
"""选择活动"""
<|body_0|>
def choose_expense(self):
"""选择费用明细"""
<|body_1|>
def apply_num(self):
"""赠送数量"""
<|body_2|>
def apply_amount(self):
"""赠送金额"""
<|bod... | stack_v2_sparse_classes_75kplus_train_074705 | 17,683 | no_license | [
{
"docstring": "选择活动",
"name": "choose_act",
"signature": "def choose_act(self)"
},
{
"docstring": "选择费用明细",
"name": "choose_expense",
"signature": "def choose_expense(self)"
},
{
"docstring": "赠送数量",
"name": "apply_num",
"signature": "def apply_num(self)"
},
{
"d... | 6 | stack_v2_sparse_classes_30k_train_048566 | Implement the Python class `ActivityCommon` described below.
Class description:
活动基类，封装一些公共方法
Method signatures and docstrings:
- def choose_act(self): 选择活动
- def choose_expense(self): 选择费用明细
- def apply_num(self): 赠送数量
- def apply_amount(self): 赠送金额
- def submit(self): 提交活动
- def reconfirm(self): 再次确认 | Implement the Python class `ActivityCommon` described below.
Class description:
活动基类，封装一些公共方法
Method signatures and docstrings:
- def choose_act(self): 选择活动
- def choose_expense(self): 选择费用明细
- def apply_num(self): 赠送数量
- def apply_amount(self): 赠送金额
- def submit(self): 提交活动
- def reconfirm(self): 再次确认
<|skeleton|>
... | 05a0430f134c59be968daa6fa60d72aa5a9fbc5e | <|skeleton|>
class ActivityCommon:
"""活动基类，封装一些公共方法"""
def choose_act(self):
"""选择活动"""
<|body_0|>
def choose_expense(self):
"""选择费用明细"""
<|body_1|>
def apply_num(self):
"""赠送数量"""
<|body_2|>
def apply_amount(self):
"""赠送金额"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ActivityCommon:
"""活动基类，封装一些公共方法"""
def choose_act(self):
"""选择活动"""
logging.info('========== choose_act ==========')
WebDriverWait(self.driver, 20).until(lambda x: x.find_element_by_id(self.act_choose_id))
self.driver.find_element_by_id(self.act_choose_id).click()
... | the_stack_v2_python_sparse | ccloud/businessView/activity.py | dopqob/Python | train | 0 |
016b9740c041f6f6e232d6857acb5954adc8a8d3 | [
"if not rent_item.user:\n return -9999\nweight = 0\nweight += RentAllocationMatrixWeigher._promo_code(rent_item)\nweight += RentAllocationMatrixWeigher._buy_threshold(rent_item)\nweight += RentAllocationMatrixWeigher._trade_threshold(rent_item)\nweight += RentAllocationMatrixWeigher._rental_threshold(rent_item)\... | <|body_start_0|>
if not rent_item.user:
return -9999
weight = 0
weight += RentAllocationMatrixWeigher._promo_code(rent_item)
weight += RentAllocationMatrixWeigher._buy_threshold(rent_item)
weight += RentAllocationMatrixWeigher._trade_threshold(rent_item)
weigh... | RentAllocationMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RentAllocationMatrix:
def calculate_weight(rent_item):
"""Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance"... | stack_v2_sparse_classes_75kplus_train_074706 | 8,068 | no_license | [
{
"docstring": "Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance",
"name": "calculate_weight",
"signature": "def calculate_... | 2 | stack_v2_sparse_classes_30k_train_004288 | Implement the Python class `RentAllocationMatrix` described below.
Class description:
Implement the RentAllocationMatrix class.
Method signatures and docstrings:
- def calculate_weight(rent_item): Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_c... | Implement the Python class `RentAllocationMatrix` described below.
Class description:
Implement the RentAllocationMatrix class.
Method signatures and docstrings:
- def calculate_weight(rent_item): Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_c... | 7c3acc39a24c38ae2ee06b71104a24cfbbde8453 | <|skeleton|>
class RentAllocationMatrix:
def calculate_weight(rent_item):
"""Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RentAllocationMatrix:
def calculate_weight(rent_item):
"""Calculates weight for ``RentList`` instance based on rent allocation weights (e.g. ``RentAllocationMatrixWeigher._promo_code()``, ``RentAllocationMatrixWeigher._buy_threshold()``) Arguments: - ``rent_item``: ``RentList`` instance"""
if ... | the_stack_v2_python_sparse | project/rent/allocation_matrix.py | chrisblythe812/gamemine | train | 1 | |
423af10e0278980c8adb733f71984b51bc72bc44 | [
"processed_dict = {}\nfor key, value in request.GET.items():\n processed_dict[key] = value\nsign = processed_dict.pop('sign', None)\nprint('======', processed_dict)\nalipay = AliPay(appid='2016101100659996', app_notify_url='http://127.0.0.1:8000/api/ailpay/return/', app_private_key_path=APP_PRIVATE_KEY_PATH, ali... | <|body_start_0|>
processed_dict = {}
for key, value in request.GET.items():
processed_dict[key] = value
sign = processed_dict.pop('sign', None)
print('======', processed_dict)
alipay = AliPay(appid='2016101100659996', app_notify_url='http://127.0.0.1:8000/api/ailpay/r... | AlipayView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlipayView:
def get(self, request):
"""处理支付宝的return_url返回 :param request: :return:"""
<|body_0|>
def post(self, request):
"""处理支付宝的notify_url :param request: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
processed_dict = {}
for ke... | stack_v2_sparse_classes_75kplus_train_074707 | 6,333 | no_license | [
{
"docstring": "处理支付宝的return_url返回 :param request: :return:",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "处理支付宝的notify_url :param request: :return:",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_036666 | Implement the Python class `AlipayView` described below.
Class description:
Implement the AlipayView class.
Method signatures and docstrings:
- def get(self, request): 处理支付宝的return_url返回 :param request: :return:
- def post(self, request): 处理支付宝的notify_url :param request: :return: | Implement the Python class `AlipayView` described below.
Class description:
Implement the AlipayView class.
Method signatures and docstrings:
- def get(self, request): 处理支付宝的return_url返回 :param request: :return:
- def post(self, request): 处理支付宝的notify_url :param request: :return:
<|skeleton|>
class AlipayView:
... | 45f8a57089f5c30ccc1a3cddb03b76dc95355417 | <|skeleton|>
class AlipayView:
def get(self, request):
"""处理支付宝的return_url返回 :param request: :return:"""
<|body_0|>
def post(self, request):
"""处理支付宝的notify_url :param request: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlipayView:
def get(self, request):
"""处理支付宝的return_url返回 :param request: :return:"""
processed_dict = {}
for key, value in request.GET.items():
processed_dict[key] = value
sign = processed_dict.pop('sign', None)
print('======', processed_dict)
alipa... | the_stack_v2_python_sparse | 前后端分离-vue-DRF/Projects-lenongke/LNK/apps/trade/views.py | Suijng/1809_data | train | 0 | |
99bbb5b54888792b3aa422bdef310262aff6c8d0 | [
"self.__trie = TrieNode()\nself.__cur_node = self.__trie\nself.__search = []\nself.__sentence_to_count = collections.defaultdict(int)\nfor sentence, count in zip(sentences, times):\n self.__sentence_to_count[sentence] = count\n self.__trie.insert(sentence, count)",
"result = []\nif c == '#':\n self.__sen... | <|body_start_0|>
self.__trie = TrieNode()
self.__cur_node = self.__trie
self.__search = []
self.__sentence_to_count = collections.defaultdict(int)
for sentence, count in zip(sentences, times):
self.__sentence_to_count[sentence] = count
self.__trie.insert(s... | AutocompleteSystem | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.__trie = TrieNode... | stack_v2_sparse_classes_75kplus_train_074708 | 2,083 | permissive | [
{
"docstring": ":type sentences: List[str] :type times: List[int]",
"name": "__init__",
"signature": "def __init__(self, sentences, times)"
},
{
"docstring": ":type c: str :rtype: List[str]",
"name": "input",
"signature": "def input(self, c)"
}
] | 2 | stack_v2_sparse_classes_30k_train_053492 | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str] | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str]
<|skeleton|>
cla... | 4dc4e6642dc92f1983c13564cc0fd99917cab358 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
self.__trie = TrieNode()
self.__cur_node = self.__trie
self.__search = []
self.__sentence_to_count = collections.defaultdict(int)
for sentence, coun... | the_stack_v2_python_sparse | Python/design-search-autocomplete-system.py | kamyu104/LeetCode-Solutions | train | 4,549 | |
ff2b2c08c0c5a335685fa5bcc3eaac6ea3c34e30 | [
"if len(preorder) == 0 and len(inorder) == 0:\n return None\nif len(preorder) == 1 and len(inorder) == 1:\n return TreeNode(preorder[0])\nroot = TreeNode(preorder[0])\nind = inorder.index(preorder[0])\ninorderleft = inorder[0:ind]\npreorderleft = preorder[1:1 + ind]\nroot.left = self.buildTree(preorderleft, i... | <|body_start_0|>
if len(preorder) == 0 and len(inorder) == 0:
return None
if len(preorder) == 1 and len(inorder) == 1:
return TreeNode(preorder[0])
root = TreeNode(preorder[0])
ind = inorder.index(preorder[0])
inorderleft = inorder[0:ind]
preorderl... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def buildTree(self, preorder, inorder):
""":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode"""
<|body_0|>
def minDepth(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if l... | stack_v2_sparse_classes_75kplus_train_074709 | 6,246 | no_license | [
{
"docstring": ":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode",
"name": "buildTree",
"signature": "def buildTree(self, preorder, inorder)"
},
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "minDepth",
"signature": "def minDepth(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buildTree(self, preorder, inorder): :type preorder: List[int] :type inorder: List[int] :rtype: TreeNode
- def minDepth(self, root): :type root: TreeNode :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def buildTree(self, preorder, inorder): :type preorder: List[int] :type inorder: List[int] :rtype: TreeNode
- def minDepth(self, root): :type root: TreeNode :rtype: int
<|skelet... | 2a29426be1d690b6f90bc45b437900deee46d832 | <|skeleton|>
class Solution:
def buildTree(self, preorder, inorder):
""":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode"""
<|body_0|>
def minDepth(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def buildTree(self, preorder, inorder):
""":type preorder: List[int] :type inorder: List[int] :rtype: TreeNode"""
if len(preorder) == 0 and len(inorder) == 0:
return None
if len(preorder) == 1 and len(inorder) == 1:
return TreeNode(preorder[0])
... | the_stack_v2_python_sparse | src/leet/111-minimum-depth-of-binary-tree.py | sevenseablue/leetcode | train | 0 | |
35df5f74e98e2a08966ea64110cdff11e5680458 | [
"if attrs['password'] != attrs['password2']:\n raise serializers.ValidationError('两次输入的密码不一致!')\nif not re.match('^(?:[a-zA-Z0-9]+[_\\\\-\\\\+\\\\.]?)*[a-zA-Z0-9]+@(?:([a-zA-Z0-9]+[_\\\\-]?)*[a-zA-Z0-9]+\\\\.)+([a-zA-Z]{2,})+$', attrs['email']):\n raise serializers.ValidationError('邮箱格式有误!')\nredis_conn = get... | <|body_start_0|>
if attrs['password'] != attrs['password2']:
raise serializers.ValidationError('两次输入的密码不一致!')
if not re.match('^(?:[a-zA-Z0-9]+[_\\-\\+\\.]?)*[a-zA-Z0-9]+@(?:([a-zA-Z0-9]+[_\\-]?)*[a-zA-Z0-9]+\\.)+([a-zA-Z]{2,})+$', attrs['email']):
raise serializers.ValidationErr... | 注册创建用户的序列化器 | CreateUserSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateUserSerializer:
"""注册创建用户的序列化器"""
def validate(self, attrs):
"""检验两次密码是否一致"""
<|body_0|>
def create(self, validated_data):
"""创建用户"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if attrs['password'] != attrs['password2']:
rais... | stack_v2_sparse_classes_75kplus_train_074710 | 3,137 | no_license | [
{
"docstring": "检验两次密码是否一致",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "创建用户",
"name": "create",
"signature": "def create(self, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012978 | Implement the Python class `CreateUserSerializer` described below.
Class description:
注册创建用户的序列化器
Method signatures and docstrings:
- def validate(self, attrs): 检验两次密码是否一致
- def create(self, validated_data): 创建用户 | Implement the Python class `CreateUserSerializer` described below.
Class description:
注册创建用户的序列化器
Method signatures and docstrings:
- def validate(self, attrs): 检验两次密码是否一致
- def create(self, validated_data): 创建用户
<|skeleton|>
class CreateUserSerializer:
"""注册创建用户的序列化器"""
def validate(self, attrs):
"... | 0e67ca676b6c25c9e9bff2fa92c1b2932f09856d | <|skeleton|>
class CreateUserSerializer:
"""注册创建用户的序列化器"""
def validate(self, attrs):
"""检验两次密码是否一致"""
<|body_0|>
def create(self, validated_data):
"""创建用户"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreateUserSerializer:
"""注册创建用户的序列化器"""
def validate(self, attrs):
"""检验两次密码是否一致"""
if attrs['password'] != attrs['password2']:
raise serializers.ValidationError('两次输入的密码不一致!')
if not re.match('^(?:[a-zA-Z0-9]+[_\\-\\+\\.]?)*[a-zA-Z0-9]+@(?:([a-zA-Z0-9]+[_\\-]?)*[a-zA-... | the_stack_v2_python_sparse | personal_blog/apps/users/serializers.py | zizle/PersonalBlog | train | 0 |
05e71eeab763f5e05ae6c5c6fb43f18fd78136c1 | [
"super().pre_run(step, level_number)\nL = step.levels[level_number]\nself.add_to_stats(process=0, time=0, level=0, iter=0, sweep=0, type='u0', value=L.u[0])",
"super().post_step(step, level_number)\nL = step.levels[level_number]\nself.add_to_stats(process=step.status.slot, time=L.time, level=L.level_index, iter=s... | <|body_start_0|>
super().pre_run(step, level_number)
L = step.levels[level_number]
self.add_to_stats(process=0, time=0, level=0, iter=0, sweep=0, type='u0', value=L.u[0])
<|end_body_0|>
<|body_start_1|>
super().post_step(step, level_number)
L = step.levels[level_number]
... | Record data required for analysis of problems in the resilience project | LogData | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogData:
"""Record data required for analysis of problems in the resilience project"""
def pre_run(self, step, level_number):
"""Record initial conditions"""
<|body_0|>
def post_step(self, step, level_number):
"""Record final solutions as well as step size and er... | stack_v2_sparse_classes_75kplus_train_074711 | 3,815 | permissive | [
{
"docstring": "Record initial conditions",
"name": "pre_run",
"signature": "def pre_run(self, step, level_number)"
},
{
"docstring": "Record final solutions as well as step size and error estimates",
"name": "post_step",
"signature": "def post_step(self, step, level_number)"
}
] | 2 | stack_v2_sparse_classes_30k_train_054379 | Implement the Python class `LogData` described below.
Class description:
Record data required for analysis of problems in the resilience project
Method signatures and docstrings:
- def pre_run(self, step, level_number): Record initial conditions
- def post_step(self, step, level_number): Record final solutions as wel... | Implement the Python class `LogData` described below.
Class description:
Record data required for analysis of problems in the resilience project
Method signatures and docstrings:
- def pre_run(self, step, level_number): Record initial conditions
- def post_step(self, step, level_number): Record final solutions as wel... | 1a51834bedffd4472e344bed28f4d766614b1537 | <|skeleton|>
class LogData:
"""Record data required for analysis of problems in the resilience project"""
def pre_run(self, step, level_number):
"""Record initial conditions"""
<|body_0|>
def post_step(self, step, level_number):
"""Record final solutions as well as step size and er... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LogData:
"""Record data required for analysis of problems in the resilience project"""
def pre_run(self, step, level_number):
"""Record initial conditions"""
super().pre_run(step, level_number)
L = step.levels[level_number]
self.add_to_stats(process=0, time=0, level=0, ite... | the_stack_v2_python_sparse | pySDC/projects/Resilience/hook.py | Parallel-in-Time/pySDC | train | 30 |
41e7948a5d4acfeffa0075528b818ee458353a07 | [
"self._nums = nums\nself.tree = [0 for _ in range(len(nums) + 1)]\nfor i in range(len(nums)):\n val = nums[i]\n i += 1\n while i < len(self.tree):\n self.tree[i] += val\n i += i & -i\nprint(self.tree)",
"val1 = self._nums[i]\nindex = i\ni = i + 1\nwhile i < len(self.tree):\n self.tree[i]... | <|body_start_0|>
self._nums = nums
self.tree = [0 for _ in range(len(nums) + 1)]
for i in range(len(nums)):
val = nums[i]
i += 1
while i < len(self.tree):
self.tree[i] += val
i += i & -i
print(self.tree)
<|end_body_0|>
... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def update(self, i, val):
""":type i: int :type val: int :rtype: void"""
<|body_1|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_75kplus_train_074712 | 1,364 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type val: int :rtype: void",
"name": "update",
"signature": "def update(self, i, val)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
... | 3 | stack_v2_sparse_classes_30k_train_020253 | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def update(self, i, val): :type i: int :type val: int :rtype: void
- def sumRange(self, i, j): :type i: int :type j: int :rtype:... | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def update(self, i, val): :type i: int :type val: int :rtype: void
- def sumRange(self, i, j): :type i: int :type j: int :rtype:... | a6d0e392134afe19d1aed2dfe7914b674e05ecc6 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def update(self, i, val):
""":type i: int :type val: int :rtype: void"""
<|body_1|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
self._nums = nums
self.tree = [0 for _ in range(len(nums) + 1)]
for i in range(len(nums)):
val = nums[i]
i += 1
while i < len(self.tree):
self.tree[i] += val
... | the_stack_v2_python_sparse | 307RangeSumQuery.py | Ting007/leetcodePractice | train | 0 | |
633578e6bab6fb5a5c005952d4d510cea714eea3 | [
"agg_class = aggregator_manager.AggregatorManager.get_aggregator(aggregator_name)\nfield_lines = []\nfor form_field in agg_class.FORM_FIELDS:\n field = {'name': form_field.get('name', 'N/A'), 'description': form_field.get('label', 'N/A')}\n field_lines.append(field)\nreturn {'name': agg_class.NAME, 'display_n... | <|body_start_0|>
agg_class = aggregator_manager.AggregatorManager.get_aggregator(aggregator_name)
field_lines = []
for form_field in agg_class.FORM_FIELDS:
field = {'name': form_field.get('name', 'N/A'), 'description': form_field.get('label', 'N/A')}
field_lines.append(fi... | Resource to get information about an aggregation class. | AggregationInfoResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AggregationInfoResource:
"""Resource to get information about an aggregation class."""
def _get_info(aggregator_name):
"""Returns a dict with information about an aggregation."""
<|body_0|>
def get(self):
"""Handles GET request to the resource. Handler for /api/v... | stack_v2_sparse_classes_75kplus_train_074713 | 27,741 | permissive | [
{
"docstring": "Returns a dict with information about an aggregation.",
"name": "_get_info",
"signature": "def _get_info(aggregator_name)"
},
{
"docstring": "Handles GET request to the resource. Handler for /api/v1/aggregation/info/ Returns: JSON with information about every aggregator.",
"n... | 3 | stack_v2_sparse_classes_30k_val_000171 | Implement the Python class `AggregationInfoResource` described below.
Class description:
Resource to get information about an aggregation class.
Method signatures and docstrings:
- def _get_info(aggregator_name): Returns a dict with information about an aggregation.
- def get(self): Handles GET request to the resourc... | Implement the Python class `AggregationInfoResource` described below.
Class description:
Resource to get information about an aggregation class.
Method signatures and docstrings:
- def _get_info(aggregator_name): Returns a dict with information about an aggregation.
- def get(self): Handles GET request to the resourc... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class AggregationInfoResource:
"""Resource to get information about an aggregation class."""
def _get_info(aggregator_name):
"""Returns a dict with information about an aggregation."""
<|body_0|>
def get(self):
"""Handles GET request to the resource. Handler for /api/v... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AggregationInfoResource:
"""Resource to get information about an aggregation class."""
def _get_info(aggregator_name):
"""Returns a dict with information about an aggregation."""
agg_class = aggregator_manager.AggregatorManager.get_aggregator(aggregator_name)
field_lines = []
... | the_stack_v2_python_sparse | timesketch/api/v1/resources/aggregation.py | google/timesketch | train | 2,263 |
9a2a69d8c9dc43c3312118a361a02ae166b08b74 | [
"self.id = id\nself.insurance_centre_id = insurance_centre_id\nself.article_type = article_type\nself.title = title\nself.summary = summary\nself.article_group = article_group\nself.meta_media_file_id = meta_media_file_id\nself.meta_media_file_url = meta_media_file_url\nself.publish_persian_date = publish_persian_d... | <|body_start_0|>
self.id = id
self.insurance_centre_id = insurance_centre_id
self.article_type = article_type
self.title = title
self.summary = summary
self.article_group = article_group
self.meta_media_file_id = meta_media_file_id
self.meta_media_file_url... | Implementation of the 'SummaryNotic' model. TODO: type model description here. Attributes: id (int): TODO: type description here. insurance_centre_id (int): TODO: type description here. article_type (int): TODO: type description here. title (string): TODO: type description here. summary (string): TODO: type description... | SummaryNotic | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SummaryNotic:
"""Implementation of the 'SummaryNotic' model. TODO: type model description here. Attributes: id (int): TODO: type description here. insurance_centre_id (int): TODO: type description here. article_type (int): TODO: type description here. title (string): TODO: type description here. ... | stack_v2_sparse_classes_75kplus_train_074714 | 3,623 | permissive | [
{
"docstring": "Constructor for the SummaryNotic class",
"name": "__init__",
"signature": "def __init__(self, id=None, insurance_centre_id=None, article_type=None, title=None, summary=None, article_group=None, meta_media_file_id=None, meta_media_file_url=None, publish_persian_date=None)"
},
{
"d... | 2 | null | Implement the Python class `SummaryNotic` described below.
Class description:
Implementation of the 'SummaryNotic' model. TODO: type model description here. Attributes: id (int): TODO: type description here. insurance_centre_id (int): TODO: type description here. article_type (int): TODO: type description here. title ... | Implement the Python class `SummaryNotic` described below.
Class description:
Implementation of the 'SummaryNotic' model. TODO: type model description here. Attributes: id (int): TODO: type description here. insurance_centre_id (int): TODO: type description here. article_type (int): TODO: type description here. title ... | b574a76a8805b306a423229b572c36dae0159def | <|skeleton|>
class SummaryNotic:
"""Implementation of the 'SummaryNotic' model. TODO: type model description here. Attributes: id (int): TODO: type description here. insurance_centre_id (int): TODO: type description here. article_type (int): TODO: type description here. title (string): TODO: type description here. ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SummaryNotic:
"""Implementation of the 'SummaryNotic' model. TODO: type model description here. Attributes: id (int): TODO: type description here. insurance_centre_id (int): TODO: type description here. article_type (int): TODO: type description here. title (string): TODO: type description here. summary (stri... | the_stack_v2_python_sparse | easybimehlanding/models/summary_notic.py | kmelodi/EasyBimehLanding_Python | train | 0 |
fc04a3afb6a058d44814c8bffe404af229a97fce | [
"self.a = a\nself.b = b\nself.cx = cx\nself.cy = cy\nself.theta = theta",
"x = self.a * np.cos(alpha) * np.cos(self.theta) - self.b * np.sin(alpha) * np.sin(self.theta) + self.cx\ny = self.a * np.cos(alpha) * np.sin(self.theta) + self.b * np.sin(alpha) * np.cos(self.theta) + self.cy\nreturn (x, y)"
] | <|body_start_0|>
self.a = a
self.b = b
self.cx = cx
self.cy = cy
self.theta = theta
<|end_body_0|>
<|body_start_1|>
x = self.a * np.cos(alpha) * np.cos(self.theta) - self.b * np.sin(alpha) * np.sin(self.theta) + self.cx
y = self.a * np.cos(alpha) * np.sin(self.th... | Ellipse | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ellipse:
def __init__(self, a=1, b=1, cx=0, cy=0, theta=0):
"""Create an ellipse object Args: a -- major radius b -- minor radius cx -- x coordinate of ellipse center cy -- y coordinate of ellipse center theta -- angle by which the ellipse is rotated"""
<|body_0|>
def get_el... | stack_v2_sparse_classes_75kplus_train_074715 | 12,432 | no_license | [
{
"docstring": "Create an ellipse object Args: a -- major radius b -- minor radius cx -- x coordinate of ellipse center cy -- y coordinate of ellipse center theta -- angle by which the ellipse is rotated",
"name": "__init__",
"signature": "def __init__(self, a=1, b=1, cx=0, cy=0, theta=0)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_048629 | Implement the Python class `Ellipse` described below.
Class description:
Implement the Ellipse class.
Method signatures and docstrings:
- def __init__(self, a=1, b=1, cx=0, cy=0, theta=0): Create an ellipse object Args: a -- major radius b -- minor radius cx -- x coordinate of ellipse center cy -- y coordinate of ell... | Implement the Python class `Ellipse` described below.
Class description:
Implement the Ellipse class.
Method signatures and docstrings:
- def __init__(self, a=1, b=1, cx=0, cy=0, theta=0): Create an ellipse object Args: a -- major radius b -- minor radius cx -- x coordinate of ellipse center cy -- y coordinate of ell... | 3be1c0d1a96b7d220c2aba1515af6095712c65bc | <|skeleton|>
class Ellipse:
def __init__(self, a=1, b=1, cx=0, cy=0, theta=0):
"""Create an ellipse object Args: a -- major radius b -- minor radius cx -- x coordinate of ellipse center cy -- y coordinate of ellipse center theta -- angle by which the ellipse is rotated"""
<|body_0|>
def get_el... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Ellipse:
def __init__(self, a=1, b=1, cx=0, cy=0, theta=0):
"""Create an ellipse object Args: a -- major radius b -- minor radius cx -- x coordinate of ellipse center cy -- y coordinate of ellipse center theta -- angle by which the ellipse is rotated"""
self.a = a
self.b = b
se... | the_stack_v2_python_sparse | riseq_perception/scripts/ellipse_detector.py | juanmed/riseq_uav | train | 3 | |
e57ffe203f84625e7608560a7b34fe8acdd7d7c4 | [
"res = self.get(self.INDEX_URN)\nself.assert200(res)\nself.assertEqual(len(res.json['data']), 0)\ntags = [Tag(userId=self.user.id, **item) for item in datasets.index.TAGS]\ndb.session.add_all(tags)\ndb.session.commit()\nres = self.get(self.INDEX_URN)\nself.assert200(res)\nfor index, item in enumerate(res.json['data... | <|body_start_0|>
res = self.get(self.INDEX_URN)
self.assert200(res)
self.assertEqual(len(res.json['data']), 0)
tags = [Tag(userId=self.user.id, **item) for item in datasets.index.TAGS]
db.session.add_all(tags)
db.session.commit()
res = self.get(self.INDEX_URN)
... | TagsResourceTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TagsResourceTest:
def test_index_endpoint(self):
"""Testing user tag GET index endpoint"""
<|body_0|>
def test_get_endpoint(self):
"""Testing user tag GET get endpoint"""
<|body_1|>
def test_post_endpoint(self):
"""Testing user tag POST endpoint"... | stack_v2_sparse_classes_75kplus_train_074716 | 6,179 | permissive | [
{
"docstring": "Testing user tag GET index endpoint",
"name": "test_index_endpoint",
"signature": "def test_index_endpoint(self)"
},
{
"docstring": "Testing user tag GET get endpoint",
"name": "test_get_endpoint",
"signature": "def test_get_endpoint(self)"
},
{
"docstring": "Test... | 5 | stack_v2_sparse_classes_30k_test_001653 | Implement the Python class `TagsResourceTest` described below.
Class description:
Implement the TagsResourceTest class.
Method signatures and docstrings:
- def test_index_endpoint(self): Testing user tag GET index endpoint
- def test_get_endpoint(self): Testing user tag GET get endpoint
- def test_post_endpoint(self)... | Implement the Python class `TagsResourceTest` described below.
Class description:
Implement the TagsResourceTest class.
Method signatures and docstrings:
- def test_index_endpoint(self): Testing user tag GET index endpoint
- def test_get_endpoint(self): Testing user tag GET get endpoint
- def test_post_endpoint(self)... | 37a3be814fc32ad87eb2a0ecfd93aa46ef46e68d | <|skeleton|>
class TagsResourceTest:
def test_index_endpoint(self):
"""Testing user tag GET index endpoint"""
<|body_0|>
def test_get_endpoint(self):
"""Testing user tag GET get endpoint"""
<|body_1|>
def test_post_endpoint(self):
"""Testing user tag POST endpoint"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TagsResourceTest:
def test_index_endpoint(self):
"""Testing user tag GET index endpoint"""
res = self.get(self.INDEX_URN)
self.assert200(res)
self.assertEqual(len(res.json['data']), 0)
tags = [Tag(userId=self.user.id, **item) for item in datasets.index.TAGS]
db.... | the_stack_v2_python_sparse | smsgw/resources/tags/api_test.py | jajonsraviation/smsgw | train | 0 | |
a78c71177f87a4319c2e97a72cc85b64a2c50ed6 | [
"cardvalue = 0\nif 0 == cardtype:\n if cardlist[0] != 31:\n cardvalue += cardlist[0] % 10 * 2\n if cardlist[1] != 31:\n cardvalue += cardlist[1] % 10 * 2\n while cardvalue >= 20:\n cardvalue -= 20\n return cardvalue\nelif 1 == cardtype:\n return cardlist[0]\nelse:\n return 0",... | <|body_start_0|>
cardvalue = 0
if 0 == cardtype:
if cardlist[0] != 31:
cardvalue += cardlist[0] % 10 * 2
if cardlist[1] != 31:
cardvalue += cardlist[1] % 10 * 2
while cardvalue >= 20:
cardvalue -= 20
return c... | :推筒子 :param cardlist: | Tuitongzi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tuitongzi:
""":推筒子 :param cardlist:"""
def get_card_value(cardlist, cardtype):
""":推筒子牌值 :param cardlist:"""
<|body_0|>
def getCardType(cardlist):
""":推筒子牌型 0 单牌 1 豹子 2 二八杠 3 对红中 :param cardlist:"""
<|body_1|>
def compare(cardlist, cards):
""... | stack_v2_sparse_classes_75kplus_train_074717 | 2,265 | no_license | [
{
"docstring": ":推筒子牌值 :param cardlist:",
"name": "get_card_value",
"signature": "def get_card_value(cardlist, cardtype)"
},
{
"docstring": ":推筒子牌型 0 单牌 1 豹子 2 二八杠 3 对红中 :param cardlist:",
"name": "getCardType",
"signature": "def getCardType(cardlist)"
},
{
"docstring": ":推筒子比牌 :... | 3 | stack_v2_sparse_classes_30k_train_050940 | Implement the Python class `Tuitongzi` described below.
Class description:
:推筒子 :param cardlist:
Method signatures and docstrings:
- def get_card_value(cardlist, cardtype): :推筒子牌值 :param cardlist:
- def getCardType(cardlist): :推筒子牌型 0 单牌 1 豹子 2 二八杠 3 对红中 :param cardlist:
- def compare(cardlist, cards): :推筒子比牌 :param ... | Implement the Python class `Tuitongzi` described below.
Class description:
:推筒子 :param cardlist:
Method signatures and docstrings:
- def get_card_value(cardlist, cardtype): :推筒子牌值 :param cardlist:
- def getCardType(cardlist): :推筒子牌型 0 单牌 1 豹子 2 二八杠 3 对红中 :param cardlist:
- def compare(cardlist, cards): :推筒子比牌 :param ... | 383ebca3162734107b1d8af61274a76cb3822684 | <|skeleton|>
class Tuitongzi:
""":推筒子 :param cardlist:"""
def get_card_value(cardlist, cardtype):
""":推筒子牌值 :param cardlist:"""
<|body_0|>
def getCardType(cardlist):
""":推筒子牌型 0 单牌 1 豹子 2 二八杠 3 对红中 :param cardlist:"""
<|body_1|>
def compare(cardlist, cards):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Tuitongzi:
""":推筒子 :param cardlist:"""
def get_card_value(cardlist, cardtype):
""":推筒子牌值 :param cardlist:"""
cardvalue = 0
if 0 == cardtype:
if cardlist[0] != 31:
cardvalue += cardlist[0] % 10 * 2
if cardlist[1] != 31:
cardva... | the_stack_v2_python_sparse | zhipai/tuitongzi.py | chrinide/phz | train | 1 |
61bda5e7eefde9c18eb5f0a5bf687c45c5830917 | [
"N = len(A)\nswap = [0] * N\nno_swap = [0] * N\nswap[0] = 1\nmax_index = N - 1\nfor i in range(1, N):\n prop = []\n if A[max_index - i] < A[max_index - i + 1] and B[max_index - i] < B[max_index - i + 1]:\n prop.append(no_swap[i - 1])\n if A[max_index - i] < B[max_index - i + 1] and B[max_index - i] ... | <|body_start_0|>
N = len(A)
swap = [0] * N
no_swap = [0] * N
swap[0] = 1
max_index = N - 1
for i in range(1, N):
prop = []
if A[max_index - i] < A[max_index - i + 1] and B[max_index - i] < B[max_index - i + 1]:
prop.append(no_swap[i... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minSwap(self, A, B):
""":type A: List[int] :type B: List[int] :rtype: int 77MS"""
<|body_0|>
def minSwap_1(self, A, B):
""":type A: List[int] :type B: List[int] :rtype: int 58ms"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
N = len(A... | stack_v2_sparse_classes_75kplus_train_074718 | 2,595 | no_license | [
{
"docstring": ":type A: List[int] :type B: List[int] :rtype: int 77MS",
"name": "minSwap",
"signature": "def minSwap(self, A, B)"
},
{
"docstring": ":type A: List[int] :type B: List[int] :rtype: int 58ms",
"name": "minSwap_1",
"signature": "def minSwap_1(self, A, B)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017781 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSwap(self, A, B): :type A: List[int] :type B: List[int] :rtype: int 77MS
- def minSwap_1(self, A, B): :type A: List[int] :type B: List[int] :rtype: int 58ms | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minSwap(self, A, B): :type A: List[int] :type B: List[int] :rtype: int 77MS
- def minSwap_1(self, A, B): :type A: List[int] :type B: List[int] :rtype: int 58ms
<|skeleton|>
... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def minSwap(self, A, B):
""":type A: List[int] :type B: List[int] :rtype: int 77MS"""
<|body_0|>
def minSwap_1(self, A, B):
""":type A: List[int] :type B: List[int] :rtype: int 58ms"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minSwap(self, A, B):
""":type A: List[int] :type B: List[int] :rtype: int 77MS"""
N = len(A)
swap = [0] * N
no_swap = [0] * N
swap[0] = 1
max_index = N - 1
for i in range(1, N):
prop = []
if A[max_index - i] < A[max_... | the_stack_v2_python_sparse | MinimumSwapsToMakeSequencesIncreasing_MID_801.py | 953250587/leetcode-python | train | 2 | |
4bc0b24b8ddf8e3e8b56488c442094d6d2b7449b | [
"expected_prefix = settings.JWT['TOKEN_PREFIX'].lower()\nrequest.user = None\nauth_header = authentication.get_authorization_header(request).split()\nauth_header_len = len(auth_header)\nif not auth_header or auth_header_len != 2:\n return None\nprefix = auth_header[0].decode('utf-8')\ntoken = auth_header[1].deco... | <|body_start_0|>
expected_prefix = settings.JWT['TOKEN_PREFIX'].lower()
request.user = None
auth_header = authentication.get_authorization_header(request).split()
auth_header_len = len(auth_header)
if not auth_header or auth_header_len != 2:
return None
prefix... | JWTAuthentication | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JWTAuthentication:
def authenticate(self, request):
"""Determines if the current user making the request isauthenticated"""
<|body_0|>
def _get_user_credentials_from_token(self, token):
"""Extracts a user from a JSON web token"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_074719 | 1,627 | permissive | [
{
"docstring": "Determines if the current user making the request isauthenticated",
"name": "authenticate",
"signature": "def authenticate(self, request)"
},
{
"docstring": "Extracts a user from a JSON web token",
"name": "_get_user_credentials_from_token",
"signature": "def _get_user_cr... | 2 | null | Implement the Python class `JWTAuthentication` described below.
Class description:
Implement the JWTAuthentication class.
Method signatures and docstrings:
- def authenticate(self, request): Determines if the current user making the request isauthenticated
- def _get_user_credentials_from_token(self, token): Extracts... | Implement the Python class `JWTAuthentication` described below.
Class description:
Implement the JWTAuthentication class.
Method signatures and docstrings:
- def authenticate(self, request): Determines if the current user making the request isauthenticated
- def _get_user_credentials_from_token(self, token): Extracts... | 0e9ef1a10c8a3f6736999a5111736f7bd7236689 | <|skeleton|>
class JWTAuthentication:
def authenticate(self, request):
"""Determines if the current user making the request isauthenticated"""
<|body_0|>
def _get_user_credentials_from_token(self, token):
"""Extracts a user from a JSON web token"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JWTAuthentication:
def authenticate(self, request):
"""Determines if the current user making the request isauthenticated"""
expected_prefix = settings.JWT['TOKEN_PREFIX'].lower()
request.user = None
auth_header = authentication.get_authorization_header(request).split()
... | the_stack_v2_python_sparse | authors/apps/authentication/backends.py | andela/ah-backend-odin | train | 0 | |
18b112c31fd0e296ea4d961051746ba8d8a7e86f | [
"headers = []\nfor field in self.get_export_fields():\n field_model = AidProject._meta.get_field(field.column_name)\n headers.append(field_model.verbose_name)\nreturn headers",
"field_name = self.get_field_name(field)\nmethod = getattr(self, 'dehydrate_%s' % field_name, None)\nif method is not None:\n re... | <|body_start_0|>
headers = []
for field in self.get_export_fields():
field_model = AidProject._meta.get_field(field.column_name)
headers.append(field_model.verbose_name)
return headers
<|end_body_0|>
<|body_start_1|>
field_name = self.get_field_name(field)
... | Resource for Export AidProject. | AidProjectResource | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AidProjectResource:
"""Resource for Export AidProject."""
def get_export_headers(self):
"""override get_export_headers() to translate field names."""
<|body_0|>
def export_field(self, field, obj):
"""override export_field() to translate field values."""
<... | stack_v2_sparse_classes_75kplus_train_074720 | 13,586 | permissive | [
{
"docstring": "override get_export_headers() to translate field names.",
"name": "get_export_headers",
"signature": "def get_export_headers(self)"
},
{
"docstring": "override export_field() to translate field values.",
"name": "export_field",
"signature": "def export_field(self, field, ... | 2 | stack_v2_sparse_classes_30k_train_030775 | Implement the Python class `AidProjectResource` described below.
Class description:
Resource for Export AidProject.
Method signatures and docstrings:
- def get_export_headers(self): override get_export_headers() to translate field names.
- def export_field(self, field, obj): override export_field() to translate field... | Implement the Python class `AidProjectResource` described below.
Class description:
Resource for Export AidProject.
Method signatures and docstrings:
- def get_export_headers(self): override get_export_headers() to translate field names.
- def export_field(self, field, obj): override export_field() to translate field... | af9f6e6e8b1918363793fbf291f3518ef1454169 | <|skeleton|>
class AidProjectResource:
"""Resource for Export AidProject."""
def get_export_headers(self):
"""override get_export_headers() to translate field names."""
<|body_0|>
def export_field(self, field, obj):
"""override export_field() to translate field values."""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AidProjectResource:
"""Resource for Export AidProject."""
def get_export_headers(self):
"""override get_export_headers() to translate field names."""
headers = []
for field in self.get_export_fields():
field_model = AidProject._meta.get_field(field.column_name)
... | the_stack_v2_python_sparse | src/aids/resources.py | MTES-MCT/aides-territoires | train | 21 |
b5e40a44d65399784477a8c56c045e0d65e2ecb0 | [
"async def wrapper(admin: str=Depends(authenticate_admin), *args, **kwargs):\n logger.info('Admin access granted.')\n return await func(*args, **kwargs)\nwrapper.__signature__ = inspect.Signature(parameters=[*inspect.signature(func).parameters.values(), *filter(lambda p: p.kind not in (inspect.Parameter.VAR_P... | <|body_start_0|>
async def wrapper(admin: str=Depends(authenticate_admin), *args, **kwargs):
logger.info('Admin access granted.')
return await func(*args, **kwargs)
wrapper.__signature__ = inspect.Signature(parameters=[*inspect.signature(func).parameters.values(), *filter(lambda ... | [Endpoint authentication decorator.] | authentication | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class authentication:
"""[Endpoint authentication decorator.]"""
def admin_required(func):
"""[Sets an admin authentication requirement.] Args: func ([type]): [Function to be decorated.]"""
<|body_0|>
def user_required(func):
"""[Sets a user authentication requirement.... | stack_v2_sparse_classes_75kplus_train_074721 | 2,466 | no_license | [
{
"docstring": "[Sets an admin authentication requirement.] Args: func ([type]): [Function to be decorated.]",
"name": "admin_required",
"signature": "def admin_required(func)"
},
{
"docstring": "[Sets a user authentication requirement. User has to exist in the users database and have a 'True' a... | 2 | stack_v2_sparse_classes_30k_train_012739 | Implement the Python class `authentication` described below.
Class description:
[Endpoint authentication decorator.]
Method signatures and docstrings:
- def admin_required(func): [Sets an admin authentication requirement.] Args: func ([type]): [Function to be decorated.]
- def user_required(func): [Sets a user authen... | Implement the Python class `authentication` described below.
Class description:
[Endpoint authentication decorator.]
Method signatures and docstrings:
- def admin_required(func): [Sets an admin authentication requirement.] Args: func ([type]): [Function to be decorated.]
- def user_required(func): [Sets a user authen... | e17daa214f4bc8394e9bc096aca6a04b0fba04e9 | <|skeleton|>
class authentication:
"""[Endpoint authentication decorator.]"""
def admin_required(func):
"""[Sets an admin authentication requirement.] Args: func ([type]): [Function to be decorated.]"""
<|body_0|>
def user_required(func):
"""[Sets a user authentication requirement.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class authentication:
"""[Endpoint authentication decorator.]"""
def admin_required(func):
"""[Sets an admin authentication requirement.] Args: func ([type]): [Function to be decorated.]"""
async def wrapper(admin: str=Depends(authenticate_admin), *args, **kwargs):
logger.info('Admi... | the_stack_v2_python_sparse | authentication/decorator.py | pesfahanian/ML_API | train | 6 |
76d61f95b2f041bdddabff067593ee2c7547499a | [
"from torch.nn import LeakyReLU\nfrom torch.nn import Conv2d\nsuper().__init__()\nself.batch_discriminator = MinibatchStdDev()\nself.conv_1 = Conv2d(in_channels + 1, in_channels, (3, 3), padding=1, bias=True)\nself.conv_2 = Conv2d(in_channels, in_channels, (4, 4), bias=True)\nself.conv_3 = Conv2d(in_channels, 1, (1... | <|body_start_0|>
from torch.nn import LeakyReLU
from torch.nn import Conv2d
super().__init__()
self.batch_discriminator = MinibatchStdDev()
self.conv_1 = Conv2d(in_channels + 1, in_channels, (3, 3), padding=1, bias=True)
self.conv_2 = Conv2d(in_channels, in_channels, (4, ... | Final block for the Discriminator | DisFinalBlock | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DisFinalBlock:
"""Final block for the Discriminator"""
def __init__(self, in_channels):
"""constructor of the class :param in_channels: number of input channels"""
<|body_0|>
def forward(self, x):
"""forward pass of the FinalBlock :param x: input :return: y => ou... | stack_v2_sparse_classes_75kplus_train_074722 | 14,685 | no_license | [
{
"docstring": "constructor of the class :param in_channels: number of input channels",
"name": "__init__",
"signature": "def __init__(self, in_channels)"
},
{
"docstring": "forward pass of the FinalBlock :param x: input :return: y => output",
"name": "forward",
"signature": "def forward... | 2 | stack_v2_sparse_classes_30k_train_015220 | Implement the Python class `DisFinalBlock` described below.
Class description:
Final block for the Discriminator
Method signatures and docstrings:
- def __init__(self, in_channels): constructor of the class :param in_channels: number of input channels
- def forward(self, x): forward pass of the FinalBlock :param x: i... | Implement the Python class `DisFinalBlock` described below.
Class description:
Final block for the Discriminator
Method signatures and docstrings:
- def __init__(self, in_channels): constructor of the class :param in_channels: number of input channels
- def forward(self, x): forward pass of the FinalBlock :param x: i... | 428abe1fefe5ea4ef00290155e7e59657bc83444 | <|skeleton|>
class DisFinalBlock:
"""Final block for the Discriminator"""
def __init__(self, in_channels):
"""constructor of the class :param in_channels: number of input channels"""
<|body_0|>
def forward(self, x):
"""forward pass of the FinalBlock :param x: input :return: y => ou... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DisFinalBlock:
"""Final block for the Discriminator"""
def __init__(self, in_channels):
"""constructor of the class :param in_channels: number of input channels"""
from torch.nn import LeakyReLU
from torch.nn import Conv2d
super().__init__()
self.batch_discriminato... | the_stack_v2_python_sparse | src/msg_stylegan2.py | blakecheng/lafin | train | 0 |
0e53983d2d21a8c62cce830c4398ab12cbe36619 | [
"assert ip_address in get_local_ips(), 'At the moment, we want you to start a slurm process only from localhost'\nassert slurm_command in ['srun'], \"At the moment, we only support 'srun' for execution of slurm\"\nsuper(SlurmPythonProcess, self).__init__(function, ip_address, set_up_port_for_structured_back_communi... | <|body_start_0|>
assert ip_address in get_local_ips(), 'At the moment, we want you to start a slurm process only from localhost'
assert slurm_command in ['srun'], "At the moment, we only support 'srun' for execution of slurm"
super(SlurmPythonProcess, self).__init__(function, ip_address, set_up_... | SlurmPythonProcess | [
"BSD-2-Clause-Views"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SlurmPythonProcess:
def __init__(self, function, ip_address, set_up_port_for_structured_back_communication=True, slurm_kwargs={}, slurm_command='srun', **kwargs):
""":param function: :param ip_address: :param set_up_port_for_structured_back_communication: :param slurm_kwargs: :param kwar... | stack_v2_sparse_classes_75kplus_train_074723 | 15,481 | permissive | [
{
"docstring": ":param function: :param ip_address: :param set_up_port_for_structured_back_communication: :param slurm_kwargs: :param kwargs:",
"name": "__init__",
"signature": "def __init__(self, function, ip_address, set_up_port_for_structured_back_communication=True, slurm_kwargs={}, slurm_command='s... | 2 | null | Implement the Python class `SlurmPythonProcess` described below.
Class description:
Implement the SlurmPythonProcess class.
Method signatures and docstrings:
- def __init__(self, function, ip_address, set_up_port_for_structured_back_communication=True, slurm_kwargs={}, slurm_command='srun', **kwargs): :param function... | Implement the Python class `SlurmPythonProcess` described below.
Class description:
Implement the SlurmPythonProcess class.
Method signatures and docstrings:
- def __init__(self, function, ip_address, set_up_port_for_structured_back_communication=True, slurm_kwargs={}, slurm_command='srun', **kwargs): :param function... | 84d3b1daf0de363cc823d99f978e2861ed400b5b | <|skeleton|>
class SlurmPythonProcess:
def __init__(self, function, ip_address, set_up_port_for_structured_back_communication=True, slurm_kwargs={}, slurm_command='srun', **kwargs):
""":param function: :param ip_address: :param set_up_port_for_structured_back_communication: :param slurm_kwargs: :param kwar... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SlurmPythonProcess:
def __init__(self, function, ip_address, set_up_port_for_structured_back_communication=True, slurm_kwargs={}, slurm_command='srun', **kwargs):
""":param function: :param ip_address: :param set_up_port_for_structured_back_communication: :param slurm_kwargs: :param kwargs:"""
... | the_stack_v2_python_sparse | artemis/remote/child_processes.py | QUVA-Lab/artemis | train | 241 | |
4d8412de4fc831bfbb7f9eaba085fe5a1788f24c | [
"if not root:\n return ''\nstack = [root]\nres = ''\nwhile stack:\n childs = []\n for node in stack:\n if not node:\n res += ','\n childs.append(None)\n childs.append(None)\n else:\n res += str(node.val) + ','\n childs.append(node.left)\n... | <|body_start_0|>
if not root:
return ''
stack = [root]
res = ''
while stack:
childs = []
for node in stack:
if not node:
res += ','
childs.append(None)
childs.append(None)
... | 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_074724 | 2,077 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_039893 | 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:... | 14dcf9029486283b5e4685d95ebfe9979ade03c3 | <|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 not root:
return ''
stack = [root]
res = ''
while stack:
childs = []
for node in stack:
if not node:
... | the_stack_v2_python_sparse | 449-SerializeandDeserializeBST.py | dq-code/leetcode | train | 0 | |
5b9bfe011757afcb195a85e06598ec11020388e1 | [
"n = len(cases) + 1\noutputs = cases_outputs\noutputs.append(default_output)\nif none_keys_output != None:\n outputs.append(none_keys_output)\n n += 1\n self.__ignore_none = False\nelse:\n self.__ignore_none = True\nsuper().__init__(inputs=[inputs], outputs=outputs, input_count=1, output_count=n)\nself.... | <|body_start_0|>
n = len(cases) + 1
outputs = cases_outputs
outputs.append(default_output)
if none_keys_output != None:
outputs.append(none_keys_output)
n += 1
self.__ignore_none = False
else:
self.__ignore_none = True
super... | Splits a Stream based on the value of a field in the atoms. Inputs: A single stream. Outputs: Multiple Streams, as many as the requested cases (N), plus one for the default case, and one for the atoms that do not have the requested key, if enabled. Output streams of index 0 to N-1 will be the cases, N will be the defau... | SwitchFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SwitchFilter:
"""Splits a Stream based on the value of a field in the atoms. Inputs: A single stream. Outputs: Multiple Streams, as many as the requested cases (N), plus one for the default case, and one for the atoms that do not have the requested key, if enabled. Output streams of index 0 to N-... | stack_v2_sparse_classes_75kplus_train_074725 | 7,770 | no_license | [
{
"docstring": "Parameters: input : str A single stream name. cases_output : str The output streams names that will contain data which data[key] equals to one of the cases. default_output : str The output stream name that will contain data which data[key] doesn't fall into any of the cases. key : Any The key on... | 3 | stack_v2_sparse_classes_30k_train_004877 | Implement the Python class `SwitchFilter` described below.
Class description:
Splits a Stream based on the value of a field in the atoms. Inputs: A single stream. Outputs: Multiple Streams, as many as the requested cases (N), plus one for the default case, and one for the atoms that do not have the requested key, if e... | Implement the Python class `SwitchFilter` described below.
Class description:
Splits a Stream based on the value of a field in the atoms. Inputs: A single stream. Outputs: Multiple Streams, as many as the requested cases (N), plus one for the default case, and one for the atoms that do not have the requested key, if e... | 5d1fce470eeb31f5cc75cadfc06d9d2908736052 | <|skeleton|>
class SwitchFilter:
"""Splits a Stream based on the value of a field in the atoms. Inputs: A single stream. Outputs: Multiple Streams, as many as the requested cases (N), plus one for the default case, and one for the atoms that do not have the requested key, if enabled. Output streams of index 0 to N-... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SwitchFilter:
"""Splits a Stream based on the value of a field in the atoms. Inputs: A single stream. Outputs: Multiple Streams, as many as the requested cases (N), plus one for the default case, and one for the atoms that do not have the requested key, if enabled. Output streams of index 0 to N-1 will be the... | the_stack_v2_python_sparse | otri/filtering/filters/split_filter.py | OTRI-Unipd/OTRI | train | 0 |
09dff362ed6c7d29acc698a10599708a5b6c87ac | [
"super(Kinect2Camera, self).__init__(configs=configs)\nself.DepthMapFactor = float(self.configs.CAMERA.DEPTH_MAP_FACTOR)\nself.intrinsic_mat = None",
"rgb_im, depth_im = self.get_rgb_depth()\ndepth = depth_im.reshape(-1) / self.DepthMapFactor\nrgb = rgb_im.reshape(-1, 3)\nif self.intrinsic_mat is None:\n self.... | <|body_start_0|>
super(Kinect2Camera, self).__init__(configs=configs)
self.DepthMapFactor = float(self.configs.CAMERA.DEPTH_MAP_FACTOR)
self.intrinsic_mat = None
<|end_body_0|>
<|body_start_1|>
rgb_im, depth_im = self.get_rgb_depth()
depth = depth_im.reshape(-1) / self.DepthMapF... | This is camera class that interfaces with the KinectV2 camera | Kinect2Camera | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Kinect2Camera:
"""This is camera class that interfaces with the KinectV2 camera"""
def __init__(self, configs):
"""Constructor of the KinectV2Camera class. :param configs: Camera specific configuration object :type configs: YACS CfgNode"""
<|body_0|>
def get_current_pcd(... | stack_v2_sparse_classes_75kplus_train_074726 | 4,235 | permissive | [
{
"docstring": "Constructor of the KinectV2Camera class. :param configs: Camera specific configuration object :type configs: YACS CfgNode",
"name": "__init__",
"signature": "def __init__(self, configs)"
},
{
"docstring": "Return the point cloud at current time step (one frame only) :returns: tup... | 3 | stack_v2_sparse_classes_30k_train_005943 | Implement the Python class `Kinect2Camera` described below.
Class description:
This is camera class that interfaces with the KinectV2 camera
Method signatures and docstrings:
- def __init__(self, configs): Constructor of the KinectV2Camera class. :param configs: Camera specific configuration object :type configs: YAC... | Implement the Python class `Kinect2Camera` described below.
Class description:
This is camera class that interfaces with the KinectV2 camera
Method signatures and docstrings:
- def __init__(self, configs): Constructor of the KinectV2Camera class. :param configs: Camera specific configuration object :type configs: YAC... | b334b60842271d9d8f4ed7a97bc4e5efe8bb72d6 | <|skeleton|>
class Kinect2Camera:
"""This is camera class that interfaces with the KinectV2 camera"""
def __init__(self, configs):
"""Constructor of the KinectV2Camera class. :param configs: Camera specific configuration object :type configs: YACS CfgNode"""
<|body_0|>
def get_current_pcd(... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Kinect2Camera:
"""This is camera class that interfaces with the KinectV2 camera"""
def __init__(self, configs):
"""Constructor of the KinectV2Camera class. :param configs: Camera specific configuration object :type configs: YACS CfgNode"""
super(Kinect2Camera, self).__init__(configs=confi... | the_stack_v2_python_sparse | src/pyrobot/kinect2/camera.py | facebookresearch/pyrobot | train | 2,314 |
b9ba26c2d11a4e93617e48e2f5f5890e7ab0ca8e | [
"options = [joinedload(ObservationPlanRequest.observation_plans).joinedload(EventObservationPlan.planned_observations).joinedload(PlannedObservation.field)]\nobservation_plan_request = ObservationPlanRequest.get_if_accessible_by(observation_plan_request_id, self.current_user, mode='read', raise_if_none=True, option... | <|body_start_0|>
options = [joinedload(ObservationPlanRequest.observation_plans).joinedload(EventObservationPlan.planned_observations).joinedload(PlannedObservation.field)]
observation_plan_request = ObservationPlanRequest.get_if_accessible_by(observation_plan_request_id, self.current_user, mode='read',... | ObservationPlanSubmitHandler | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObservationPlanSubmitHandler:
def post(self, observation_plan_request_id):
"""--- description: Submit an observation plan. tags: - observation_plan_requests parameters: - in: path name: observation_plan_id required: true schema: type: string responses: 200: content: application/json: sch... | stack_v2_sparse_classes_75kplus_train_074727 | 26,549 | permissive | [
{
"docstring": "--- description: Submit an observation plan. tags: - observation_plan_requests parameters: - in: path name: observation_plan_id required: true schema: type: string responses: 200: content: application/json: schema: SingleObservationPlanRequest",
"name": "post",
"signature": "def post(sel... | 2 | stack_v2_sparse_classes_30k_train_018320 | Implement the Python class `ObservationPlanSubmitHandler` described below.
Class description:
Implement the ObservationPlanSubmitHandler class.
Method signatures and docstrings:
- def post(self, observation_plan_request_id): --- description: Submit an observation plan. tags: - observation_plan_requests parameters: - ... | Implement the Python class `ObservationPlanSubmitHandler` described below.
Class description:
Implement the ObservationPlanSubmitHandler class.
Method signatures and docstrings:
- def post(self, observation_plan_request_id): --- description: Submit an observation plan. tags: - observation_plan_requests parameters: - ... | 2433d5ae0b2f41faac3c76ed4ae8d9a4da5522fb | <|skeleton|>
class ObservationPlanSubmitHandler:
def post(self, observation_plan_request_id):
"""--- description: Submit an observation plan. tags: - observation_plan_requests parameters: - in: path name: observation_plan_id required: true schema: type: string responses: 200: content: application/json: sch... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ObservationPlanSubmitHandler:
def post(self, observation_plan_request_id):
"""--- description: Submit an observation plan. tags: - observation_plan_requests parameters: - in: path name: observation_plan_id required: true schema: type: string responses: 200: content: application/json: schema: SingleObs... | the_stack_v2_python_sparse | skyportal/handlers/api/observation_plan.py | dmitryduev/skyportal | train | 1 | |
dc855016d94f14786b128973b104d18770d4d27a | [
"if cost_matrix.size == 0:\n return ([], [])\ncost = cost_matrix - cost_matrix.max()\nrow_ind = []\ncol_ind = []\nwhile True:\n row, col = np.unravel_index(cost.argmin(), cost.shape)\n if cost[row, col] < 0.0:\n row_ind.append(row)\n col_ind.append(col)\n cost[row, :] = 0.0\n co... | <|body_start_0|>
if cost_matrix.size == 0:
return ([], [])
cost = cost_matrix - cost_matrix.max()
row_ind = []
col_ind = []
while True:
row, col = np.unravel_index(cost.argmin(), cost.shape)
if cost[row, col] < 0.0:
row_ind.appe... | Wrapper for linear_sum_assignment() from scipy to avoid timeouts. | LinearSum | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinearSum:
"""Wrapper for linear_sum_assignment() from scipy to avoid timeouts."""
def simple_assignment(cls, cost_matrix):
"""Simple heuristic/non-optimal/greedy assignment."""
<|body_0|>
def _add_to_cluster(cls, cluster, ship, ships, radius=2):
"""Add ship to c... | stack_v2_sparse_classes_75kplus_train_074728 | 25,759 | no_license | [
{
"docstring": "Simple heuristic/non-optimal/greedy assignment.",
"name": "simple_assignment",
"signature": "def simple_assignment(cls, cost_matrix)"
},
{
"docstring": "Add ship to cluster and search other ships for the cluster.",
"name": "_add_to_cluster",
"signature": "def _add_to_clus... | 6 | stack_v2_sparse_classes_30k_train_015292 | Implement the Python class `LinearSum` described below.
Class description:
Wrapper for linear_sum_assignment() from scipy to avoid timeouts.
Method signatures and docstrings:
- def simple_assignment(cls, cost_matrix): Simple heuristic/non-optimal/greedy assignment.
- def _add_to_cluster(cls, cluster, ship, ships, rad... | Implement the Python class `LinearSum` described below.
Class description:
Wrapper for linear_sum_assignment() from scipy to avoid timeouts.
Method signatures and docstrings:
- def simple_assignment(cls, cost_matrix): Simple heuristic/non-optimal/greedy assignment.
- def _add_to_cluster(cls, cluster, ship, ships, rad... | 79e006814c20d92cd034d5d80d004a95ff3da11a | <|skeleton|>
class LinearSum:
"""Wrapper for linear_sum_assignment() from scipy to avoid timeouts."""
def simple_assignment(cls, cost_matrix):
"""Simple heuristic/non-optimal/greedy assignment."""
<|body_0|>
def _add_to_cluster(cls, cluster, ship, ships, radius=2):
"""Add ship to c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LinearSum:
"""Wrapper for linear_sum_assignment() from scipy to avoid timeouts."""
def simple_assignment(cls, cost_matrix):
"""Simple heuristic/non-optimal/greedy assignment."""
if cost_matrix.size == 0:
return ([], [])
cost = cost_matrix - cost_matrix.max()
ro... | the_stack_v2_python_sparse | mapdata.py | stefank0/halite3 | train | 5 |
f4935409ac906de71e81c6bd7e3f1c99bd30bcd2 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Service for providing target systems which can safely be connected to for execution of attacker commands. | TargetSystemProviderServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TargetSystemProviderServicer:
"""Service for providing target systems which can safely be connected to for execution of attacker commands."""
def AcquireTargetSystem(self, request, context):
"""Request to be provided a target system Returns error code UNAVAILABLE if no target system ... | stack_v2_sparse_classes_75kplus_train_074729 | 5,092 | no_license | [
{
"docstring": "Request to be provided a target system Returns error code UNAVAILABLE if no target system can currently be aqcuired. May be retried.",
"name": "AcquireTargetSystem",
"signature": "def AcquireTargetSystem(self, request, context)"
},
{
"docstring": "Request to give back an acquired... | 2 | stack_v2_sparse_classes_30k_train_053516 | Implement the Python class `TargetSystemProviderServicer` described below.
Class description:
Service for providing target systems which can safely be connected to for execution of attacker commands.
Method signatures and docstrings:
- def AcquireTargetSystem(self, request, context): Request to be provided a target s... | Implement the Python class `TargetSystemProviderServicer` described below.
Class description:
Service for providing target systems which can safely be connected to for execution of attacker commands.
Method signatures and docstrings:
- def AcquireTargetSystem(self, request, context): Request to be provided a target s... | b81b4f35d796b1e34050e1090192f6c808cfb327 | <|skeleton|>
class TargetSystemProviderServicer:
"""Service for providing target systems which can safely be connected to for execution of attacker commands."""
def AcquireTargetSystem(self, request, context):
"""Request to be provided a target system Returns error code UNAVAILABLE if no target system ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TargetSystemProviderServicer:
"""Service for providing target systems which can safely be connected to for execution of attacker commands."""
def AcquireTargetSystem(self, request, context):
"""Request to be provided a target system Returns error code UNAVAILABLE if no target system can currently... | the_stack_v2_python_sparse | protocols/target_system_provider/target_system_provider_pb2_grpc.py | Botnet-Honeypot/Honeypot | train | 12 |
2cfaabd4359ce574a32ebd14f6602a5c1e7788a2 | [
"if isinstance(key, int):\n return ECDSALowCurve(key)\nif key not in ECDSALowCurve._member_map_:\n extend_enum(ECDSALowCurve, key, default)\nreturn ECDSALowCurve[key]",
"if not (isinstance(value, int) and 0 <= value <= 65535):\n raise ValueError('%r is not a valid %s' % (value, cls.__name__))\nif 2 <= va... | <|body_start_0|>
if isinstance(key, int):
return ECDSALowCurve(key)
if key not in ECDSALowCurve._member_map_:
extend_enum(ECDSALowCurve, key, default)
return ECDSALowCurve[key]
<|end_body_0|>
<|body_start_1|>
if not (isinstance(value, int) and 0 <= value <= 65535... | [ECDSALowCurve] ECDSA_LOW Curve Label | ECDSALowCurve | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ECDSALowCurve:
"""[ECDSALowCurve] ECDSA_LOW Curve Label"""
def get(key, default=-1):
"""Backport support for original codes."""
<|body_0|>
def _missing_(cls, value):
"""Lookup function used when value is not found."""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_074730 | 1,108 | permissive | [
{
"docstring": "Backport support for original codes.",
"name": "get",
"signature": "def get(key, default=-1)"
},
{
"docstring": "Lookup function used when value is not found.",
"name": "_missing_",
"signature": "def _missing_(cls, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_039608 | Implement the Python class `ECDSALowCurve` described below.
Class description:
[ECDSALowCurve] ECDSA_LOW Curve Label
Method signatures and docstrings:
- def get(key, default=-1): Backport support for original codes.
- def _missing_(cls, value): Lookup function used when value is not found. | Implement the Python class `ECDSALowCurve` described below.
Class description:
[ECDSALowCurve] ECDSA_LOW Curve Label
Method signatures and docstrings:
- def get(key, default=-1): Backport support for original codes.
- def _missing_(cls, value): Lookup function used when value is not found.
<|skeleton|>
class ECDSALo... | 90cd07d67df28d5c5ab0585bc60f467a78d9db33 | <|skeleton|>
class ECDSALowCurve:
"""[ECDSALowCurve] ECDSA_LOW Curve Label"""
def get(key, default=-1):
"""Backport support for original codes."""
<|body_0|>
def _missing_(cls, value):
"""Lookup function used when value is not found."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ECDSALowCurve:
"""[ECDSALowCurve] ECDSA_LOW Curve Label"""
def get(key, default=-1):
"""Backport support for original codes."""
if isinstance(key, int):
return ECDSALowCurve(key)
if key not in ECDSALowCurve._member_map_:
extend_enum(ECDSALowCurve, key, defa... | the_stack_v2_python_sparse | pcapkit/const/hip/ecdsa_low_curve.py | stjordanis/PyPCAPKit | train | 0 |
55b919e65b67df40f71934b59d011783e18b5209 | [
"mock_resp = mock.Mock()\nmock_resp.raise_for_status = mock.Mock()\nif raise_for_status:\n mock_resp.raise_for_status.side_effect = raise_for_status\nmock_resp.status_code = status\nmock_resp.content = content\nif json_data:\n mock_resp.json = mock.Mock(return_value=json_data)\nreturn mock_resp",
"mock_resp... | <|body_start_0|>
mock_resp = mock.Mock()
mock_resp.raise_for_status = mock.Mock()
if raise_for_status:
mock_resp.raise_for_status.side_effect = raise_for_status
mock_resp.status_code = status
mock_resp.content = content
if json_data:
mock_resp.json... | example text that mocks requests.get and returns a mock Response object | TestRequestsCall | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRequestsCall:
"""example text that mocks requests.get and returns a mock Response object"""
def _mock_response(self, status=200, content='CONTENT', json_data=None, raise_for_status=None):
"""since we typically test a bunch of different requests calls for a service, we are going t... | stack_v2_sparse_classes_75kplus_train_074731 | 2,289 | permissive | [
{
"docstring": "since we typically test a bunch of different requests calls for a service, we are going to do a lot of mock responses, so its usually a good idea to have a helper function that builds these things",
"name": "_mock_response",
"signature": "def _mock_response(self, status=200, content='CON... | 3 | null | Implement the Python class `TestRequestsCall` described below.
Class description:
example text that mocks requests.get and returns a mock Response object
Method signatures and docstrings:
- def _mock_response(self, status=200, content='CONTENT', json_data=None, raise_for_status=None): since we typically test a bunch ... | Implement the Python class `TestRequestsCall` described below.
Class description:
example text that mocks requests.get and returns a mock Response object
Method signatures and docstrings:
- def _mock_response(self, status=200, content='CONTENT', json_data=None, raise_for_status=None): since we typically test a bunch ... | 665d39a2bd82543d5196555f0801ef8fd4a3ee48 | <|skeleton|>
class TestRequestsCall:
"""example text that mocks requests.get and returns a mock Response object"""
def _mock_response(self, status=200, content='CONTENT', json_data=None, raise_for_status=None):
"""since we typically test a bunch of different requests calls for a service, we are going t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestRequestsCall:
"""example text that mocks requests.get and returns a mock Response object"""
def _mock_response(self, status=200, content='CONTENT', json_data=None, raise_for_status=None):
"""since we typically test a bunch of different requests calls for a service, we are going to do a lot of... | the_stack_v2_python_sparse | all-gists/45467f5a7af84d2a2d34f3fcb357449c/snippet.py | gistable/gistable | train | 76 |
52f8bd1436d957b94cf4efae355997514e251c34 | [
"super().__init__(env, capacity=capacity)\nself.max_size = max_size\nself._elems = []\nself.cur_elem_nr = 0\nself.diabled_buffer_control = General().diabled_buffer_control",
"if self.diabled_buffer_control:\n return 0\ntry:\n a = sum([float(it.msg_length_in_bit) / 8.0 for it in self.items])\nexcept:\n a ... | <|body_start_0|>
super().__init__(env, capacity=capacity)
self.max_size = max_size
self._elems = []
self.cur_elem_nr = 0
self.diabled_buffer_control = General().diabled_buffer_control
<|end_body_0|>
<|body_start_1|>
if self.diabled_buffer_control:
return 0
... | this class is used to wrap the element of the buffer to be able to determine its size in bytes | LogStore | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogStore:
"""this class is used to wrap the element of the buffer to be able to determine its size in bytes"""
def __init__(self, env, capacity, max_size):
"""Constructor Input: env simpy.Environment environment of this component capacity integer maxmium size of this buffer in elemen... | stack_v2_sparse_classes_75kplus_train_074732 | 2,559 | permissive | [
{
"docstring": "Constructor Input: env simpy.Environment environment of this component capacity integer maxmium size of this buffer in elements max_size integer maximum size of this buffer in bytes",
"name": "__init__",
"signature": "def __init__(self, env, capacity, max_size)"
},
{
"docstring":... | 2 | stack_v2_sparse_classes_30k_train_008285 | Implement the Python class `LogStore` described below.
Class description:
this class is used to wrap the element of the buffer to be able to determine its size in bytes
Method signatures and docstrings:
- def __init__(self, env, capacity, max_size): Constructor Input: env simpy.Environment environment of this compone... | Implement the Python class `LogStore` described below.
Class description:
this class is used to wrap the element of the buffer to be able to determine its size in bytes
Method signatures and docstrings:
- def __init__(self, env, capacity, max_size): Constructor Input: env simpy.Environment environment of this compone... | b2e395611e9b5111aeda7ab128f3486354bbbf0d | <|skeleton|>
class LogStore:
"""this class is used to wrap the element of the buffer to be able to determine its size in bytes"""
def __init__(self, env, capacity, max_size):
"""Constructor Input: env simpy.Environment environment of this component capacity integer maxmium size of this buffer in elemen... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LogStore:
"""this class is used to wrap the element of the buffer to be able to determine its size in bytes"""
def __init__(self, env, capacity, max_size):
"""Constructor Input: env simpy.Environment environment of this component capacity integer maxmium size of this buffer in elements max_size i... | the_stack_v2_python_sparse | ECUSimulation/components/base/ecu/hardware/impl_controller_can_std.py | PhilippMundhenk/IVNS | train | 15 |
b1fdc0363d8cd67fb61b8613debc37b255ded729 | [
"from anuga.config import rho_a, rho_w, eta_w\nself.use_coordinates = True\nif len(args) == 1:\n if not callable(args[0]):\n pressure = args[0]\n else:\n vector_function = args[0]\n if len(kwargs) == 1:\n self.use_coordinates = kwargs['use_coordinates']\n else:\n ... | <|body_start_0|>
from anuga.config import rho_a, rho_w, eta_w
self.use_coordinates = True
if len(args) == 1:
if not callable(args[0]):
pressure = args[0]
else:
vector_function = args[0]
if len(kwargs) == 1:
... | Apply barometric pressure stress to water momentum in terms of barometric pressure p [hPa]. If the pressure data is stored in a file file_function is used to create a callable function. The data file contains pressure values at a set of possibly arbitrarily located nodes at a set o possibly irregular but increasing tim... | Barometric_pressure | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Barometric_pressure:
"""Apply barometric pressure stress to water momentum in terms of barometric pressure p [hPa]. If the pressure data is stored in a file file_function is used to create a callable function. The data file contains pressure values at a set of possibly arbitrarily located nodes a... | stack_v2_sparse_classes_75kplus_train_074733 | 48,626 | permissive | [
{
"docstring": "Initialise barometric pressure field from barometric pressure [hPa] Input p can be either scalars or Python functions, e.g. P = barometric_pressure(1000) Arguments can also be Python functions of t,x,y as in def pressure(t,x,y): ... return p where x and y are vectors. and then pass the functions... | 2 | stack_v2_sparse_classes_30k_train_029015 | Implement the Python class `Barometric_pressure` described below.
Class description:
Apply barometric pressure stress to water momentum in terms of barometric pressure p [hPa]. If the pressure data is stored in a file file_function is used to create a callable function. The data file contains pressure values at a set ... | Implement the Python class `Barometric_pressure` described below.
Class description:
Apply barometric pressure stress to water momentum in terms of barometric pressure p [hPa]. If the pressure data is stored in a file file_function is used to create a callable function. The data file contains pressure values at a set ... | 6d6d8e22b7e15b601f960c198b521bc20682477c | <|skeleton|>
class Barometric_pressure:
"""Apply barometric pressure stress to water momentum in terms of barometric pressure p [hPa]. If the pressure data is stored in a file file_function is used to create a callable function. The data file contains pressure values at a set of possibly arbitrarily located nodes a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Barometric_pressure:
"""Apply barometric pressure stress to water momentum in terms of barometric pressure p [hPa]. If the pressure data is stored in a file file_function is used to create a callable function. The data file contains pressure values at a set of possibly arbitrarily located nodes at a set o pos... | the_stack_v2_python_sparse | anuga/shallow_water/forcing.py | stoiver/anuga_core | train | 4 |
0d3eeafc0dbe7e846f5f495a6b42664103882eaf | [
"if not graph.is_directed():\n raise ValueError('the graph is not directed')\nself.graph = graph\nself.positive_weights = all((edge.weight >= 0 for edge in self.graph.iteredges()))\nself.distance = None",
"if self.positive_weights:\n self._new_graph = self.graph\nelse:\n self._new_graph = self.graph.__cl... | <|body_start_0|>
if not graph.is_directed():
raise ValueError('the graph is not directed')
self.graph = graph
self.positive_weights = all((edge.weight >= 0 for edge in self.graph.iteredges()))
self.distance = None
<|end_body_0|>
<|body_start_1|>
if self.positive_weig... | The Johnson algorithm for the shortest path problem. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict positive_weights : bool _new_node : node, private _new_graph : graph, private _bf : BellmanFord instance, private Examples -------- >>> from graphtheory.structures.edges import Edge >... | JohnsonFaster | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JohnsonFaster:
"""The Johnson algorithm for the shortest path problem. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict positive_weights : bool _new_node : node, private _new_graph : graph, private _bf : BellmanFord instance, private Examples -------- >>> from g... | stack_v2_sparse_classes_75kplus_train_074734 | 6,802 | permissive | [
{
"docstring": "The algorithm initialization. Parameters ---------- graph : directed weighted graph",
"name": "__init__",
"signature": "def __init__(self, graph)"
},
{
"docstring": "Finding all shortest paths.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042992 | Implement the Python class `JohnsonFaster` described below.
Class description:
The Johnson algorithm for the shortest path problem. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict positive_weights : bool _new_node : node, private _new_graph : graph, private _bf : BellmanFord instanc... | Implement the Python class `JohnsonFaster` described below.
Class description:
The Johnson algorithm for the shortest path problem. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict positive_weights : bool _new_node : node, private _new_graph : graph, private _bf : BellmanFord instanc... | 0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60 | <|skeleton|>
class JohnsonFaster:
"""The Johnson algorithm for the shortest path problem. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict positive_weights : bool _new_node : node, private _new_graph : graph, private _bf : BellmanFord instance, private Examples -------- >>> from g... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JohnsonFaster:
"""The Johnson algorithm for the shortest path problem. Attributes ---------- graph : input directed weighted graph distance : dict-of-dict positive_weights : bool _new_node : node, private _new_graph : graph, private _bf : BellmanFord instance, private Examples -------- >>> from graphtheory.st... | the_stack_v2_python_sparse | graphtheory/shortestpaths/johnson.py | kgashok/graphs-dict | train | 0 |
ff04456aa48a678278e658be0dd0258e2f3e2597 | [
"super(GCN, self).__init__()\nself.input_size = input_size\nself.hidden_size = hidden_size\nself.num_layers = num_layers\nself.layers = nn.ModuleList([nn.Linear(self.input_size, self.hidden_size)] + [nn.Linear(self.hidden_size, self.hidden_size) for _ in range(self.num_layers - 1)])",
"batch_size = adj_matrix.siz... | <|body_start_0|>
super(GCN, self).__init__()
self.input_size = input_size
self.hidden_size = hidden_size
self.num_layers = num_layers
self.layers = nn.ModuleList([nn.Linear(self.input_size, self.hidden_size)] + [nn.Linear(self.hidden_size, self.hidden_size) for _ in range(self.nu... | @class GCN Implementation of a Graph Convolution Network. > Kipf & Welling. Semi-supervised Classification with Graph Convolution Networks. | GCN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GCN:
"""@class GCN Implementation of a Graph Convolution Network. > Kipf & Welling. Semi-supervised Classification with Graph Convolution Networks."""
def __init__(self, input_size, hidden_size, num_layers):
"""Constructor for GCN. @param self The object pointer. @param input_size In... | stack_v2_sparse_classes_75kplus_train_074735 | 1,819 | no_license | [
{
"docstring": "Constructor for GCN. @param self The object pointer. @param input_size Integer. Input size(word embedding/hidden state layer before). @param hidden_size Integer. Hidden size of theTreeLSTM unit.",
"name": "__init__",
"signature": "def __init__(self, input_size, hidden_size, num_layers)"
... | 2 | null | Implement the Python class `GCN` described below.
Class description:
@class GCN Implementation of a Graph Convolution Network. > Kipf & Welling. Semi-supervised Classification with Graph Convolution Networks.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, num_layers): Constructor for ... | Implement the Python class `GCN` described below.
Class description:
@class GCN Implementation of a Graph Convolution Network. > Kipf & Welling. Semi-supervised Classification with Graph Convolution Networks.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, num_layers): Constructor for ... | d2184a4f3f9363b789cbd1f1c5c7fb6e60f05945 | <|skeleton|>
class GCN:
"""@class GCN Implementation of a Graph Convolution Network. > Kipf & Welling. Semi-supervised Classification with Graph Convolution Networks."""
def __init__(self, input_size, hidden_size, num_layers):
"""Constructor for GCN. @param self The object pointer. @param input_size In... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GCN:
"""@class GCN Implementation of a Graph Convolution Network. > Kipf & Welling. Semi-supervised Classification with Graph Convolution Networks."""
def __init__(self, input_size, hidden_size, num_layers):
"""Constructor for GCN. @param self The object pointer. @param input_size Integer. Input ... | the_stack_v2_python_sparse | module/gcn.py | jinulee-v/victornlp_utils | train | 0 |
b94449bfa7326332cddc3a150c140205e9cb4461 | [
"if not value:\n raise ValueError(f'{value} is an empty string')\nreturn value",
"if not re.search('^syn[0-9]+', value):\n raise ValueError(f'{value} is not a valid Synapse id')\nreturn value"
] | <|body_start_0|>
if not value:
raise ValueError(f'{value} is an empty string')
return value
<|end_body_0|>
<|body_start_1|>
if not re.search('^syn[0-9]+', value):
raise ValueError(f'{value} is not a valid Synapse id')
return value
<|end_body_1|>
| master_template_id: The template id of the google sheet. strict_validation: When doing google sheet validation (regex match) with the validation rules. True is alerting the user and not allowing entry of bad values. False is warning but allowing the entry on to the sheet. service_acct_creds_synapse_id: The Synapse id o... | GoogleSheetsConfig | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleSheetsConfig:
"""master_template_id: The template id of the google sheet. strict_validation: When doing google sheet validation (regex match) with the validation rules. True is alerting the user and not allowing entry of bad values. False is warning but allowing the entry on to the sheet. s... | stack_v2_sparse_classes_75kplus_train_074736 | 5,034 | permissive | [
{
"docstring": "Check if string is not empty(has at least one char) Args: value (str): A string Raises: ValueError: If the value is zero characters long Returns: (str): The input value",
"name": "validate_string_is_not_empty",
"signature": "def validate_string_is_not_empty(cls, value: str) -> str"
},
... | 2 | stack_v2_sparse_classes_30k_train_003280 | Implement the Python class `GoogleSheetsConfig` described below.
Class description:
master_template_id: The template id of the google sheet. strict_validation: When doing google sheet validation (regex match) with the validation rules. True is alerting the user and not allowing entry of bad values. False is warning bu... | Implement the Python class `GoogleSheetsConfig` described below.
Class description:
master_template_id: The template id of the google sheet. strict_validation: When doing google sheet validation (regex match) with the validation rules. True is alerting the user and not allowing entry of bad values. False is warning bu... | 11054993619e7983a76478bb570c73ef8433ae62 | <|skeleton|>
class GoogleSheetsConfig:
"""master_template_id: The template id of the google sheet. strict_validation: When doing google sheet validation (regex match) with the validation rules. True is alerting the user and not allowing entry of bad values. False is warning but allowing the entry on to the sheet. s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoogleSheetsConfig:
"""master_template_id: The template id of the google sheet. strict_validation: When doing google sheet validation (regex match) with the validation rules. True is alerting the user and not allowing entry of bad values. False is warning but allowing the entry on to the sheet. service_acct_c... | the_stack_v2_python_sparse | schematic/configuration/dataclasses.py | Sage-Bionetworks/schematic | train | 11 |
86b668b54a98b3e401a4b1ba806805e1645b731a | [
"print(nums)\nn = len(nums)\ncnt = []\nres = 0\n\ndef dfs(index, presum, arr):\n nonlocal res\n if index == n:\n if presum == S:\n res += 1\n cnt.append(arr.copy())\n return\n for j in [-1, 1]:\n dfs(index + 1, presum + j * nums[index], arr + [j * nums[index]])\ndfs(0... | <|body_start_0|>
print(nums)
n = len(nums)
cnt = []
res = 0
def dfs(index, presum, arr):
nonlocal res
if index == n:
if presum == S:
res += 1
cnt.append(arr.copy())
return
for... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findTargetSumWays1(self, nums: List[int], S: int) -> int:
"""超时"""
<|body_0|>
def findTargetSumWays2(self, nums: List[int], S: int) -> int:
"""记忆化递归"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
print(nums)
n = len(nums)
... | stack_v2_sparse_classes_75kplus_train_074737 | 2,241 | no_license | [
{
"docstring": "超时",
"name": "findTargetSumWays1",
"signature": "def findTargetSumWays1(self, nums: List[int], S: int) -> int"
},
{
"docstring": "记忆化递归",
"name": "findTargetSumWays2",
"signature": "def findTargetSumWays2(self, nums: List[int], S: int) -> int"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findTargetSumWays1(self, nums: List[int], S: int) -> int: 超时
- def findTargetSumWays2(self, nums: List[int], S: int) -> int: 记忆化递归 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findTargetSumWays1(self, nums: List[int], S: int) -> int: 超时
- def findTargetSumWays2(self, nums: List[int], S: int) -> int: 记忆化递归
<|skeleton|>
class Solution:
def find... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def findTargetSumWays1(self, nums: List[int], S: int) -> int:
"""超时"""
<|body_0|>
def findTargetSumWays2(self, nums: List[int], S: int) -> int:
"""记忆化递归"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findTargetSumWays1(self, nums: List[int], S: int) -> int:
"""超时"""
print(nums)
n = len(nums)
cnt = []
res = 0
def dfs(index, presum, arr):
nonlocal res
if index == n:
if presum == S:
res ... | the_stack_v2_python_sparse | LeetCode/动态规划法(dp)/背包问题/494. 目标和.py | yiming1012/MyLeetCode | train | 2 | |
7c8bf28f7bf5edba90f3777d48c68aacfc897553 | [
"d = devicemanage(self.driver)\nd.open_devicemanage()\nself.assertEqual(d.verify(), True)\nd.modify_obj()\nself.assertEqual(d.sub_tagname(), '设备管理-修改')\nd.name_clear()\nd.serial_clear()\nd.version_clear()\nd.add_save()\nself.assertEqual(d.error_name(), '不能为空哦')\nself.assertEqual(d.error_serial(), '不能为空哦')\nself.ass... | <|body_start_0|>
d = devicemanage(self.driver)
d.open_devicemanage()
self.assertEqual(d.verify(), True)
d.modify_obj()
self.assertEqual(d.sub_tagname(), '设备管理-修改')
d.name_clear()
d.serial_clear()
d.version_clear()
d.add_save()
self.assertEq... | Test039_Device_Modify_Error | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test039_Device_Modify_Error:
def test_device_modify_error1(self):
"""输入为空"""
<|body_0|>
def test_device_modify_error2(self):
"""版本号输入无效"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
d = devicemanage(self.driver)
d.open_devicemanage()
... | stack_v2_sparse_classes_75kplus_train_074738 | 1,376 | no_license | [
{
"docstring": "输入为空",
"name": "test_device_modify_error1",
"signature": "def test_device_modify_error1(self)"
},
{
"docstring": "版本号输入无效",
"name": "test_device_modify_error2",
"signature": "def test_device_modify_error2(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_030647 | Implement the Python class `Test039_Device_Modify_Error` described below.
Class description:
Implement the Test039_Device_Modify_Error class.
Method signatures and docstrings:
- def test_device_modify_error1(self): 输入为空
- def test_device_modify_error2(self): 版本号输入无效 | Implement the Python class `Test039_Device_Modify_Error` described below.
Class description:
Implement the Test039_Device_Modify_Error class.
Method signatures and docstrings:
- def test_device_modify_error1(self): 输入为空
- def test_device_modify_error2(self): 版本号输入无效
<|skeleton|>
class Test039_Device_Modify_Error:
... | 6f42c25249fc642cecc270578a180820988d45b5 | <|skeleton|>
class Test039_Device_Modify_Error:
def test_device_modify_error1(self):
"""输入为空"""
<|body_0|>
def test_device_modify_error2(self):
"""版本号输入无效"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test039_Device_Modify_Error:
def test_device_modify_error1(self):
"""输入为空"""
d = devicemanage(self.driver)
d.open_devicemanage()
self.assertEqual(d.verify(), True)
d.modify_obj()
self.assertEqual(d.sub_tagname(), '设备管理-修改')
d.name_clear()
d.seria... | the_stack_v2_python_sparse | GlxssLive_web/TestCase/Manage_Device/Test039_device_modify_error.py | rrmiracle/GlxssLive | train | 0 | |
6e520b116798ad3381941019645a525ce31a00aa | [
"try:\n h = httplib2.Http()\n url_create = 'https://www.googleapis.com/urlshortener/v1/url'\n msg = json_encode({'longUrl': url})\n response, content = h.request(url_create, 'POST', msg, headers={'Content-Type': 'application/json'})\n res = DotDict(json_decode(content))\n logging.info('[TINY_URL] ... | <|body_start_0|>
try:
h = httplib2.Http()
url_create = 'https://www.googleapis.com/urlshortener/v1/url'
msg = json_encode({'longUrl': url})
response, content = h.request(url_create, 'POST', msg, headers={'Content-Type': 'application/json'})
res = DotDi... | URLHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class URLHelper:
def get_tinyurl(url):
"""Get a tiny url for wap url."""
<|body_0|>
def get_tinyid(url):
"""get a tiny id contains 6 chars"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
h = httplib2.Http()
url_create = 'https... | stack_v2_sparse_classes_75kplus_train_074739 | 2,591 | no_license | [
{
"docstring": "Get a tiny url for wap url.",
"name": "get_tinyurl",
"signature": "def get_tinyurl(url)"
},
{
"docstring": "get a tiny id contains 6 chars",
"name": "get_tinyid",
"signature": "def get_tinyid(url)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014201 | Implement the Python class `URLHelper` described below.
Class description:
Implement the URLHelper class.
Method signatures and docstrings:
- def get_tinyurl(url): Get a tiny url for wap url.
- def get_tinyid(url): get a tiny id contains 6 chars | Implement the Python class `URLHelper` described below.
Class description:
Implement the URLHelper class.
Method signatures and docstrings:
- def get_tinyurl(url): Get a tiny url for wap url.
- def get_tinyid(url): get a tiny id contains 6 chars
<|skeleton|>
class URLHelper:
def get_tinyurl(url):
"""Get... | 3b095a325581b1fc48497c234f0ad55e928586a1 | <|skeleton|>
class URLHelper:
def get_tinyurl(url):
"""Get a tiny url for wap url."""
<|body_0|>
def get_tinyid(url):
"""get a tiny id contains 6 chars"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class URLHelper:
def get_tinyurl(url):
"""Get a tiny url for wap url."""
try:
h = httplib2.Http()
url_create = 'https://www.googleapis.com/urlshortener/v1/url'
msg = json_encode({'longUrl': url})
response, content = h.request(url_create, 'POST', msg, h... | the_stack_v2_python_sparse | libs/helpers/urlhelper.py | jcsy521/ydws | train | 0 | |
19e96bf0088491ed3065d948288879c287c4ca85 | [
"self._redis = redis_client\nself._store = event_store\nself._pubsub = None",
"channel = '{}.{}'.format(self._namespace, event.name)\nkey = '{}:{}'.format(self._namespace, event.id)\nself._redis.publish(channel, key)",
"if self._pubsub:\n raise Exception('Already subscribed')\nself._pubsub = self._redis.pubs... | <|body_start_0|>
self._redis = redis_client
self._store = event_store
self._pubsub = None
<|end_body_0|>
<|body_start_1|>
channel = '{}.{}'.format(self._namespace, event.name)
key = '{}:{}'.format(self._namespace, event.id)
self._redis.publish(channel, key)
<|end_body_1|... | RedisEventPubSub | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RedisEventPubSub:
def __init__(self, redis_client: Redis, event_store: EventStore):
"""Initialization. :param Redis redis_client: the (initialized) redis client to use :param EventSTore event_store: the (initialized) event store to use"""
<|body_0|>
def publish(self, event: ... | stack_v2_sparse_classes_75kplus_train_074740 | 3,535 | permissive | [
{
"docstring": "Initialization. :param Redis redis_client: the (initialized) redis client to use :param EventSTore event_store: the (initialized) event store to use",
"name": "__init__",
"signature": "def __init__(self, redis_client: Redis, event_store: EventStore)"
},
{
"docstring": "See superc... | 5 | stack_v2_sparse_classes_30k_train_048689 | Implement the Python class `RedisEventPubSub` described below.
Class description:
Implement the RedisEventPubSub class.
Method signatures and docstrings:
- def __init__(self, redis_client: Redis, event_store: EventStore): Initialization. :param Redis redis_client: the (initialized) redis client to use :param EventSTo... | Implement the Python class `RedisEventPubSub` described below.
Class description:
Implement the RedisEventPubSub class.
Method signatures and docstrings:
- def __init__(self, redis_client: Redis, event_store: EventStore): Initialization. :param Redis redis_client: the (initialized) redis client to use :param EventSTo... | 56d808d7836cd15d6c6748cbf704cdea4407fef6 | <|skeleton|>
class RedisEventPubSub:
def __init__(self, redis_client: Redis, event_store: EventStore):
"""Initialization. :param Redis redis_client: the (initialized) redis client to use :param EventSTore event_store: the (initialized) event store to use"""
<|body_0|>
def publish(self, event: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RedisEventPubSub:
def __init__(self, redis_client: Redis, event_store: EventStore):
"""Initialization. :param Redis redis_client: the (initialized) redis client to use :param EventSTore event_store: the (initialized) event store to use"""
self._redis = redis_client
self._store = event_... | the_stack_v2_python_sparse | src/installer/src/tortuga/events/pubsub.py | UnivaCorporation/tortuga | train | 33 | |
d433d513f2b8583146aa8a3ff64c06b3e1e2aa9a | [
"base.Action.__init__(self, self.__loadPlugin)\nself.__frame = frame\nself.__overlayList = overlayList\nself.__displayCtx = displayCtx",
"lastDir = fslsettings.read('loadPluginLastDir')\nif lastDir is None:\n lastDir = os.getcwd()\nmsg = strings.messages[self, 'loadPlugin']\ndlg = wx.FileDialog(self.__frame, m... | <|body_start_0|>
base.Action.__init__(self, self.__loadPlugin)
self.__frame = frame
self.__overlayList = overlayList
self.__displayCtx = displayCtx
<|end_body_0|>
<|body_start_1|>
lastDir = fslsettings.read('loadPluginLastDir')
if lastDir is None:
lastDir = o... | The :class:`LoadPluginAction` class is an :class:`.Action` which allows the user to load/install FSLeyes plugins - see the :mod:`.plugins` module. | LoadPluginAction | [
"BSD-3-Clause",
"CC-BY-3.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoadPluginAction:
"""The :class:`LoadPluginAction` class is an :class:`.Action` which allows the user to load/install FSLeyes plugins - see the :mod:`.plugins` module."""
def __init__(self, overlayList, displayCtx, frame):
"""Create a ``LoadPluginAction``. :arg overlayList: The :clas... | stack_v2_sparse_classes_75kplus_train_074741 | 2,921 | permissive | [
{
"docstring": "Create a ``LoadPluginAction``. :arg overlayList: The :class:`.OverlayList`. :arg displayCtx: The top-level :class:`.DisplayContext`. :arg overlayList: The :class:`.FSLeyesFrame`.",
"name": "__init__",
"signature": "def __init__(self, overlayList, displayCtx, frame)"
},
{
"docstri... | 2 | stack_v2_sparse_classes_30k_train_049941 | Implement the Python class `LoadPluginAction` described below.
Class description:
The :class:`LoadPluginAction` class is an :class:`.Action` which allows the user to load/install FSLeyes plugins - see the :mod:`.plugins` module.
Method signatures and docstrings:
- def __init__(self, overlayList, displayCtx, frame): C... | Implement the Python class `LoadPluginAction` described below.
Class description:
The :class:`LoadPluginAction` class is an :class:`.Action` which allows the user to load/install FSLeyes plugins - see the :mod:`.plugins` module.
Method signatures and docstrings:
- def __init__(self, overlayList, displayCtx, frame): C... | 46ccb4fe2b2346eb57576247f49714032b61307a | <|skeleton|>
class LoadPluginAction:
"""The :class:`LoadPluginAction` class is an :class:`.Action` which allows the user to load/install FSLeyes plugins - see the :mod:`.plugins` module."""
def __init__(self, overlayList, displayCtx, frame):
"""Create a ``LoadPluginAction``. :arg overlayList: The :clas... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoadPluginAction:
"""The :class:`LoadPluginAction` class is an :class:`.Action` which allows the user to load/install FSLeyes plugins - see the :mod:`.plugins` module."""
def __init__(self, overlayList, displayCtx, frame):
"""Create a ``LoadPluginAction``. :arg overlayList: The :class:`.OverlayLi... | the_stack_v2_python_sparse | fsleyes/actions/loadplugin.py | sanjayankur31/fsleyes | train | 1 |
28851718890d5678e2cccebb8a9d30ecdead9791 | [
"accts = []\nfor account in accounts:\n accts.append(str(account.user_id))\nreturn accts",
"locs = []\nfor location in locations:\n polygon = location.bbox\n extent = list(polygon.extent)\n locs.extend(extent)\nreturn locs",
"terms = []\nfor searchterm in searchterms:\n if searchterm.is_phrase():... | <|body_start_0|>
accts = []
for account in accounts:
accts.append(str(account.user_id))
return accts
<|end_body_0|>
<|body_start_1|>
locs = []
for location in locations:
polygon = location.bbox
extent = list(polygon.extent)
locs.ex... | Class for accessing the Twitter Streaming API. | PublicStreamsAPI | [
"MIT",
"LicenseRef-scancode-proprietary-license",
"GPL-3.0-only",
"LicenseRef-scancode-unknown-license-reference",
"GPL-1.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-other-copyleft"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PublicStreamsAPI:
"""Class for accessing the Twitter Streaming API."""
def _format_followees_param(accounts):
"""Takes a list of Account objects and returns a list of user IDs, indicating the users whose Tweets should be delivered on the stream."""
<|body_0|>
def _format... | stack_v2_sparse_classes_75kplus_train_074742 | 10,023 | permissive | [
{
"docstring": "Takes a list of Account objects and returns a list of user IDs, indicating the users whose Tweets should be delivered on the stream.",
"name": "_format_followees_param",
"signature": "def _format_followees_param(accounts)"
},
{
"docstring": "Takes a list of Location objects and r... | 5 | stack_v2_sparse_classes_30k_train_034362 | Implement the Python class `PublicStreamsAPI` described below.
Class description:
Class for accessing the Twitter Streaming API.
Method signatures and docstrings:
- def _format_followees_param(accounts): Takes a list of Account objects and returns a list of user IDs, indicating the users whose Tweets should be delive... | Implement the Python class `PublicStreamsAPI` described below.
Class description:
Class for accessing the Twitter Streaming API.
Method signatures and docstrings:
- def _format_followees_param(accounts): Takes a list of Account objects and returns a list of user IDs, indicating the users whose Tweets should be delive... | a379a134c0c5af14df4ed2afa066c1626506b754 | <|skeleton|>
class PublicStreamsAPI:
"""Class for accessing the Twitter Streaming API."""
def _format_followees_param(accounts):
"""Takes a list of Account objects and returns a list of user IDs, indicating the users whose Tweets should be delivered on the stream."""
<|body_0|>
def _format... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PublicStreamsAPI:
"""Class for accessing the Twitter Streaming API."""
def _format_followees_param(accounts):
"""Takes a list of Account objects and returns a list of user IDs, indicating the users whose Tweets should be delivered on the stream."""
accts = []
for account in accoun... | the_stack_v2_python_sparse | Incident-Response/Tools/cyphon/cyphon/platforms/twitter/handlers.py | foss2cyber/Incident-Playbook | train | 1 |
e34e35a7b140e716ff2ce2426ad9ac80bfab38ea | [
"self._servoPin = rospy.get_param('~servoPin')\nself.pwm = pigpio.pi()\nself.pwm.set_mode(self._servoPin, pigpio.OUTPUT)\nself.pwm.set_PWM_frequency(self._servoPin, SERVO_FREQUENCY)\nself.angle_sub = rospy.Subscriber('/motor_control', MotorCommand, self.update_angle)",
"if msg.angle > 10:\n self.pwm.set_PWM_du... | <|body_start_0|>
self._servoPin = rospy.get_param('~servoPin')
self.pwm = pigpio.pi()
self.pwm.set_mode(self._servoPin, pigpio.OUTPUT)
self.pwm.set_PWM_frequency(self._servoPin, SERVO_FREQUENCY)
self.angle_sub = rospy.Subscriber('/motor_control', MotorCommand, self.update_angle)
... | Servo class definition, which subscribes to the topic /servo_angle to get angle commands for the servomotor | Servo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Servo:
"""Servo class definition, which subscribes to the topic /servo_angle to get angle commands for the servomotor"""
def __init__(self):
"""Servo class default constructor. Its attributes are: _servoPin: GPIO pin that sends PWM signals to the servo pwm: object from the RPi.GPIO l... | stack_v2_sparse_classes_75kplus_train_074743 | 2,074 | permissive | [
{
"docstring": "Servo class default constructor. Its attributes are: _servoPin: GPIO pin that sends PWM signals to the servo pwm: object from the RPi.GPIO library that handles the servo properties and movement angle_sub: subscriber to the /servo_angle topic, with motor_control::MotorCommand message type and upd... | 2 | stack_v2_sparse_classes_30k_train_048311 | Implement the Python class `Servo` described below.
Class description:
Servo class definition, which subscribes to the topic /servo_angle to get angle commands for the servomotor
Method signatures and docstrings:
- def __init__(self): Servo class default constructor. Its attributes are: _servoPin: GPIO pin that sends... | Implement the Python class `Servo` described below.
Class description:
Servo class definition, which subscribes to the topic /servo_angle to get angle commands for the servomotor
Method signatures and docstrings:
- def __init__(self): Servo class default constructor. Its attributes are: _servoPin: GPIO pin that sends... | da67c53cb7fc7f16c0df862a5cff820e9a0a470f | <|skeleton|>
class Servo:
"""Servo class definition, which subscribes to the topic /servo_angle to get angle commands for the servomotor"""
def __init__(self):
"""Servo class default constructor. Its attributes are: _servoPin: GPIO pin that sends PWM signals to the servo pwm: object from the RPi.GPIO l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Servo:
"""Servo class definition, which subscribes to the topic /servo_angle to get angle commands for the servomotor"""
def __init__(self):
"""Servo class default constructor. Its attributes are: _servoPin: GPIO pin that sends PWM signals to the servo pwm: object from the RPi.GPIO library that h... | the_stack_v2_python_sparse | ros_radar_mine/catkin_ws/src/motor_control/src/servo_ros.py | marina-go-al/blimp_snn | train | 0 |
e585d28fa113ea1a7a40b63a4fabc6107d5bdb4a | [
"super().__init__(list_of_modules_to_winnow, reshape, in_place, verbose)\nmodel.apply(has_hooks)\ndebug_level = logger.getEffectiveLevel()\nlogger.debug('Current log level: %s', debug_level)\nself._using_cuda = next(model.parameters()).is_cuda\nif self._in_place is False:\n self._model = copy.deepcopy(model)\n ... | <|body_start_0|>
super().__init__(list_of_modules_to_winnow, reshape, in_place, verbose)
model.apply(has_hooks)
debug_level = logger.getEffectiveLevel()
logger.debug('Current log level: %s', debug_level)
self._using_cuda = next(model.parameters()).is_cuda
if self._in_plac... | The MaskPropagationWinnower class implements winnowing based on propagating masks corresponding to each module's input channels identified to be winnowed. | MaskPropagationWinnower | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaskPropagationWinnower:
"""The MaskPropagationWinnower class implements winnowing based on propagating masks corresponding to each module's input channels identified to be winnowed."""
def __init__(self, model: torch.nn.Module, input_shape: Tuple, list_of_modules_to_winnow: List[Tuple[torch... | stack_v2_sparse_classes_75kplus_train_074744 | 10,997 | permissive | [
{
"docstring": "MaskPropagationWinnower object initialization. :param model: The model to be winnowed. :param input_shape: The input shape of the model. :param list_of_modules_to_winnow: A list of Tuples with each Tuple containing a module and a list of channels to be winnowed for that module. :param reshape: I... | 5 | stack_v2_sparse_classes_30k_test_001803 | Implement the Python class `MaskPropagationWinnower` described below.
Class description:
The MaskPropagationWinnower class implements winnowing based on propagating masks corresponding to each module's input channels identified to be winnowed.
Method signatures and docstrings:
- def __init__(self, model: torch.nn.Mod... | Implement the Python class `MaskPropagationWinnower` described below.
Class description:
The MaskPropagationWinnower class implements winnowing based on propagating masks corresponding to each module's input channels identified to be winnowed.
Method signatures and docstrings:
- def __init__(self, model: torch.nn.Mod... | 5a406e657082b6a4f6e4bf48f0e46e085cb1e351 | <|skeleton|>
class MaskPropagationWinnower:
"""The MaskPropagationWinnower class implements winnowing based on propagating masks corresponding to each module's input channels identified to be winnowed."""
def __init__(self, model: torch.nn.Module, input_shape: Tuple, list_of_modules_to_winnow: List[Tuple[torch... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MaskPropagationWinnower:
"""The MaskPropagationWinnower class implements winnowing based on propagating masks corresponding to each module's input channels identified to be winnowed."""
def __init__(self, model: torch.nn.Module, input_shape: Tuple, list_of_modules_to_winnow: List[Tuple[torch.nn.Module, L... | the_stack_v2_python_sparse | TrainingExtensions/torch/src/python/aimet_torch/winnow/mask_propagation_winnower.py | quic/aimet | train | 1,676 |
232e095ac99da773819fe664104c323467512b4d | [
"rights = access.Checker(params)\nnew_params = {}\nnew_params['rights'] = rights\nnew_params['logic'] = priority_group_logic\nnew_params['name'] = 'Cron'\nnew_params['django_patterns_defaults'] = [('^%(url_name)s/(?P<access_type>poke)$', 'soc.views.models.%(module_name)s.poke', 'Poke %(name_short)s')]\nparams = dic... | <|body_start_0|>
rights = access.Checker(params)
new_params = {}
new_params['rights'] = rights
new_params['logic'] = priority_group_logic
new_params['name'] = 'Cron'
new_params['django_patterns_defaults'] = [('^%(url_name)s/(?P<access_type>poke)$', 'soc.views.models.%(mod... | View methods for the Cron model. | View | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class View:
"""View methods for the Cron model."""
def __init__(self, params=None):
"""Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View"""
<|body_0|... | stack_v2_sparse_classes_75kplus_train_074745 | 3,167 | permissive | [
{
"docstring": "Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View",
"name": "__init__",
"signature": "def __init__(self, params=None)"
},
{
"docstring": "View call... | 2 | stack_v2_sparse_classes_30k_train_016199 | Implement the Python class `View` described below.
Class description:
View methods for the Cron model.
Method signatures and docstrings:
- def __init__(self, params=None): Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: para... | Implement the Python class `View` described below.
Class description:
View methods for the Cron model.
Method signatures and docstrings:
- def __init__(self, params=None): Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: para... | 5c5d50eea89372e967994dac3bd8b06d25b4f0fa | <|skeleton|>
class View:
"""View methods for the Cron model."""
def __init__(self, params=None):
"""Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View"""
<|body_0|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class View:
"""View methods for the Cron model."""
def __init__(self, params=None):
"""Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View"""
rights = access.Checke... | the_stack_v2_python_sparse | src/melange/src/soc/views/models/cron.py | MatthewWilkes/mw4068-packaging | train | 0 |
1992eb23b533b56f55b836ec901c9851e1f08326 | [
"Student(usr_name='mushan', usr_password='123', id='17373349', name='hbb', grade=3).save()\nstudent = Student.objects.get(id='17373349')\nFeedback(student_id=student, kind='bug', content='ddl有问题').save()\nresponse = self.client.get('/feedback/')\nself.assertEqual(response.status_code, 200)\nresponse = self.client.g... | <|body_start_0|>
Student(usr_name='mushan', usr_password='123', id='17373349', name='hbb', grade=3).save()
student = Student.objects.get(id='17373349')
Feedback(student_id=student, kind='bug', content='ddl有问题').save()
response = self.client.get('/feedback/')
self.assertEqual(resp... | UserLoginTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserLoginTests:
def test_get_200(self):
"""检测返回状态码为200的get请求 1.获取所有反馈 2.获取某一天的反馈 3。获取某一类的反馈"""
<|body_0|>
def test_get_400(self):
"""检测返回状态码位400的get请求 1.参数数量错误 2.参数名称错误 :return:"""
<|body_1|>
def test_post_200(self):
"""检测返回状态码为200的post请求 1.成功登录"... | stack_v2_sparse_classes_75kplus_train_074746 | 3,122 | no_license | [
{
"docstring": "检测返回状态码为200的get请求 1.获取所有反馈 2.获取某一天的反馈 3。获取某一类的反馈",
"name": "test_get_200",
"signature": "def test_get_200(self)"
},
{
"docstring": "检测返回状态码位400的get请求 1.参数数量错误 2.参数名称错误 :return:",
"name": "test_get_400",
"signature": "def test_get_400(self)"
},
{
"docstring": "检测返回... | 5 | null | Implement the Python class `UserLoginTests` described below.
Class description:
Implement the UserLoginTests class.
Method signatures and docstrings:
- def test_get_200(self): 检测返回状态码为200的get请求 1.获取所有反馈 2.获取某一天的反馈 3。获取某一类的反馈
- def test_get_400(self): 检测返回状态码位400的get请求 1.参数数量错误 2.参数名称错误 :return:
- def test_post_200(se... | Implement the Python class `UserLoginTests` described below.
Class description:
Implement the UserLoginTests class.
Method signatures and docstrings:
- def test_get_200(self): 检测返回状态码为200的get请求 1.获取所有反馈 2.获取某一天的反馈 3。获取某一类的反馈
- def test_get_400(self): 检测返回状态码位400的get请求 1.参数数量错误 2.参数名称错误 :return:
- def test_post_200(se... | 7dfa07283d4130b931a92c80bf4f499f97a33b62 | <|skeleton|>
class UserLoginTests:
def test_get_200(self):
"""检测返回状态码为200的get请求 1.获取所有反馈 2.获取某一天的反馈 3。获取某一类的反馈"""
<|body_0|>
def test_get_400(self):
"""检测返回状态码位400的get请求 1.参数数量错误 2.参数名称错误 :return:"""
<|body_1|>
def test_post_200(self):
"""检测返回状态码为200的post请求 1.成功登录"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserLoginTests:
def test_get_200(self):
"""检测返回状态码为200的get请求 1.获取所有反馈 2.获取某一天的反馈 3。获取某一类的反馈"""
Student(usr_name='mushan', usr_password='123', id='17373349', name='hbb', grade=3).save()
student = Student.objects.get(id='17373349')
Feedback(student_id=student, kind='bug', content... | the_stack_v2_python_sparse | user_feedback/tests.py | SE2020-TopUnderstanding/BUAA-Campus-Tools-Backend | train | 7 | |
ad6540d6aa8f3ab6497a903a3936e74e8dcb461f | [
"self.qualification_id = qualification_id\nself.manufacturer = manufacturer\nself.qualification_type = qualification_type\nself.qualification_description = qualification_description",
"if dictionary is None:\n return None\nqualification_id = dictionary.get('qualificationId')\nmanufacturer = dictionary.get('man... | <|body_start_0|>
self.qualification_id = qualification_id
self.manufacturer = manufacturer
self.qualification_type = qualification_type
self.qualification_description = qualification_description
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
... | Implementation of the 'PersonnelQualification' model. A personnel qualification. Attributes: qualification_id (int): The id of a personnel qualification. manufacturer (string): TODO: type description here. qualification_type (string): TODO: type description here. qualification_description (string): TODO: type descripti... | PersonnelQualification | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PersonnelQualification:
"""Implementation of the 'PersonnelQualification' model. A personnel qualification. Attributes: qualification_id (int): The id of a personnel qualification. manufacturer (string): TODO: type description here. qualification_type (string): TODO: type description here. qualif... | stack_v2_sparse_classes_75kplus_train_074747 | 2,400 | permissive | [
{
"docstring": "Constructor for the PersonnelQualification class",
"name": "__init__",
"signature": "def __init__(self, qualification_id=None, manufacturer=None, qualification_type=None, qualification_description=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args:... | 2 | stack_v2_sparse_classes_30k_train_034663 | Implement the Python class `PersonnelQualification` described below.
Class description:
Implementation of the 'PersonnelQualification' model. A personnel qualification. Attributes: qualification_id (int): The id of a personnel qualification. manufacturer (string): TODO: type description here. qualification_type (strin... | Implement the Python class `PersonnelQualification` described below.
Class description:
Implementation of the 'PersonnelQualification' model. A personnel qualification. Attributes: qualification_id (int): The id of a personnel qualification. manufacturer (string): TODO: type description here. qualification_type (strin... | 6835ee1f6a667b5c7827c5248391081f06b75513 | <|skeleton|>
class PersonnelQualification:
"""Implementation of the 'PersonnelQualification' model. A personnel qualification. Attributes: qualification_id (int): The id of a personnel qualification. manufacturer (string): TODO: type description here. qualification_type (string): TODO: type description here. qualif... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PersonnelQualification:
"""Implementation of the 'PersonnelQualification' model. A personnel qualification. Attributes: qualification_id (int): The id of a personnel qualification. manufacturer (string): TODO: type description here. qualification_type (string): TODO: type description here. qualification_descr... | the_stack_v2_python_sparse | greenbyteapi/models/personnel_qualification.py | charlie9578/greenbyte-api-sdk | train | 0 |
0080ec70a09da94da143ff4f2410f38c56f0e384 | [
"database = Database()\ntarget = database.get_setting('static', 'root')\nif not target:\n raise CommandError(u'No static root setting. Set static root with:\\nmag.py add_setting static root <directory-name>\\nE.g.\\nmag.py add_setting static root /var/www/static')\napps = database.get_app_list()\nif apps:\n a... | <|body_start_0|>
database = Database()
target = database.get_setting('static', 'root')
if not target:
raise CommandError(u'No static root setting. Set static root with:\nmag.py add_setting static root <directory-name>\nE.g.\nmag.py add_setting static root /var/www/static')
ap... | Collect static files into the public web directory. | Command | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""Collect static files into the public web directory."""
def handle(self, *args, **options):
"""Collect the static files of an application."""
<|body_0|>
def check_newer(file_tuple):
"""Check if the source is newer than the target."""
<|body_1|>... | stack_v2_sparse_classes_75kplus_train_074748 | 4,110 | permissive | [
{
"docstring": "Collect the static files of an application.",
"name": "handle",
"signature": "def handle(self, *args, **options)"
},
{
"docstring": "Check if the source is newer than the target.",
"name": "check_newer",
"signature": "def check_newer(file_tuple)"
},
{
"docstring":... | 4 | stack_v2_sparse_classes_30k_train_001824 | Implement the Python class `Command` described below.
Class description:
Collect static files into the public web directory.
Method signatures and docstrings:
- def handle(self, *args, **options): Collect the static files of an application.
- def check_newer(file_tuple): Check if the source is newer than the target.
... | Implement the Python class `Command` described below.
Class description:
Collect static files into the public web directory.
Method signatures and docstrings:
- def handle(self, *args, **options): Collect the static files of an application.
- def check_newer(file_tuple): Check if the source is newer than the target.
... | 16d3fa3b9a14ce9aa796142396a2db579be06d5e | <|skeleton|>
class Command:
"""Collect static files into the public web directory."""
def handle(self, *args, **options):
"""Collect the static files of an application."""
<|body_0|>
def check_newer(file_tuple):
"""Check if the source is newer than the target."""
<|body_1|>... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Command:
"""Collect static files into the public web directory."""
def handle(self, *args, **options):
"""Collect the static files of an application."""
database = Database()
target = database.get_setting('static', 'root')
if not target:
raise CommandError(u'No... | the_stack_v2_python_sparse | magpy/management/commands/collectstatic.py | zeth/magpy | train | 4 |
5005814530be9ba2733a4cdea4499a2a09ee6907 | [
"self.stdout = sys.stdout\nself.cache = FileCacher()\nset_arguments(arguments)\nself.locals = {'__name__': '__console__', '__doc__': None}",
"try:\n sys.stdout = self.cache\n try:\n exec(script, self.locals)\n except SystemExit:\n raise\n except SyntaxError:\n formatted_lines = tr... | <|body_start_0|>
self.stdout = sys.stdout
self.cache = FileCacher()
set_arguments(arguments)
self.locals = {'__name__': '__console__', '__doc__': None}
<|end_body_0|>
<|body_start_1|>
try:
sys.stdout = self.cache
try:
exec(script, self.loc... | Class for running a Python script as interactive interpreter. | Shell | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Shell:
"""Class for running a Python script as interactive interpreter."""
def __init__(self, arguments):
"""Constructor."""
<|body_0|>
def run_code(self, script):
"""Function to run code."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.std... | stack_v2_sparse_classes_75kplus_train_074749 | 7,287 | no_license | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, arguments)"
},
{
"docstring": "Function to run code.",
"name": "run_code",
"signature": "def run_code(self, script)"
}
] | 2 | stack_v2_sparse_classes_30k_train_051717 | Implement the Python class `Shell` described below.
Class description:
Class for running a Python script as interactive interpreter.
Method signatures and docstrings:
- def __init__(self, arguments): Constructor.
- def run_code(self, script): Function to run code. | Implement the Python class `Shell` described below.
Class description:
Class for running a Python script as interactive interpreter.
Method signatures and docstrings:
- def __init__(self, arguments): Constructor.
- def run_code(self, script): Function to run code.
<|skeleton|>
class Shell:
"""Class for running a... | 4648e48f4e290e5a1e5558acaf05431982acb81a | <|skeleton|>
class Shell:
"""Class for running a Python script as interactive interpreter."""
def __init__(self, arguments):
"""Constructor."""
<|body_0|>
def run_code(self, script):
"""Function to run code."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Shell:
"""Class for running a Python script as interactive interpreter."""
def __init__(self, arguments):
"""Constructor."""
self.stdout = sys.stdout
self.cache = FileCacher()
set_arguments(arguments)
self.locals = {'__name__': '__console__', '__doc__': None}
... | the_stack_v2_python_sparse | activities_python/actions/action_run_script.py | mikhail-rozhkov/cicso_lab | train | 0 |
f5583083a3c3cec400b7c5689b140822ca889d5f | [
"result = []\nfor model in cls.model_list:\n result += list(model.objects.filter(*args, **kwargs))\nreturn result",
"try:\n ls = cls.filter(*args, **kwargs)\n if len(ls) > 1:\n raise MultipleObjectsReturned()\n return cls.filter(*args, **kwargs)[0]\nexcept IndexError:\n raise ObjectDoesNotEx... | <|body_start_0|>
result = []
for model in cls.model_list:
result += list(model.objects.filter(*args, **kwargs))
return result
<|end_body_0|>
<|body_start_1|>
try:
ls = cls.filter(*args, **kwargs)
if len(ls) > 1:
raise MultipleObjectsRe... | This is a class made for querying abstract models. This class is itself abstract. create subclasses to query your own abstract models. | AbstractModelQuery | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AbstractModelQuery:
"""This is a class made for querying abstract models. This class is itself abstract. create subclasses to query your own abstract models."""
def filter(cls, *args, **kwargs):
"""Query all concrete model classes. Iterates over the model list and returns a list of a... | stack_v2_sparse_classes_75kplus_train_074750 | 1,753 | permissive | [
{
"docstring": "Query all concrete model classes. Iterates over the model list and returns a list of all matching models from the classes given. Filter queries are given here as normal and are passed into the Django ORM for each concrete model",
"name": "filter",
"signature": "def filter(cls, *args, **k... | 2 | stack_v2_sparse_classes_30k_train_011836 | Implement the Python class `AbstractModelQuery` described below.
Class description:
This is a class made for querying abstract models. This class is itself abstract. create subclasses to query your own abstract models.
Method signatures and docstrings:
- def filter(cls, *args, **kwargs): Query all concrete model clas... | Implement the Python class `AbstractModelQuery` described below.
Class description:
This is a class made for querying abstract models. This class is itself abstract. create subclasses to query your own abstract models.
Method signatures and docstrings:
- def filter(cls, *args, **kwargs): Query all concrete model clas... | 886a644432ff53f97babccbae4eee555338caec1 | <|skeleton|>
class AbstractModelQuery:
"""This is a class made for querying abstract models. This class is itself abstract. create subclasses to query your own abstract models."""
def filter(cls, *args, **kwargs):
"""Query all concrete model classes. Iterates over the model list and returns a list of a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AbstractModelQuery:
"""This is a class made for querying abstract models. This class is itself abstract. create subclasses to query your own abstract models."""
def filter(cls, *args, **kwargs):
"""Query all concrete model classes. Iterates over the model list and returns a list of all matching m... | the_stack_v2_python_sparse | src/dashboard/utils.py | opnfv/laas | train | 3 |
b706d30898495a588cde5f2a2ef7d4601c2d079e | [
"records = {}\nleft, max_length = (0, 0)\nfor i, c in enumerate(s):\n if c in records and left <= records[c]:\n left = records[c] + 1\n else:\n max_length = max(max_length, i - left + 1)\n records[c] = i\nreturn max_length",
"if not s:\n return 0\nmax_length = 1\nfor i in range(1, len(s)... | <|body_start_0|>
records = {}
left, max_length = (0, 0)
for i, c in enumerate(s):
if c in records and left <= records[c]:
left = records[c] + 1
else:
max_length = max(max_length, i - left + 1)
records[c] = i
return max_l... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring_naive(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
records = {}
left, max_length... | stack_v2_sparse_classes_75kplus_train_074751 | 2,208 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring_naive",
"signature": "def lengthOfLongestSubstring_naive(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047942 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring_naive(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring_naive(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def len... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring_naive(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
records = {}
left, max_length = (0, 0)
for i, c in enumerate(s):
if c in records and left <= records[c]:
left = records[c] + 1
else:
max_lengt... | the_stack_v2_python_sparse | src/lt_3.py | oxhead/CodingYourWay | train | 0 | |
676a0a53ffa75a783417e24f4a5c660f1b59ecee | [
"try:\n res = urllib.request.urlopen(self.url + '../httpserver.py')\n self.assertNotEqual(res.status, 200)\nexcept urllib.error.HTTPError as error:\n self.assertEqual(error.code, 403)",
"try:\n res = urllib.request.urlopen(self.url + '../httpserver.py')\n body = res.read().decode()\n self.assert... | <|body_start_0|>
try:
res = urllib.request.urlopen(self.url + '../httpserver.py')
self.assertNotEqual(res.status, 200)
except urllib.error.HTTPError as error:
self.assertEqual(error.code, 403)
<|end_body_0|>
<|body_start_1|>
try:
res = urllib.requ... | Tests insecure requests to a server. | TestInsecureRequests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestInsecureRequests:
"""Tests insecure requests to a server."""
def test_python_files_status(self):
"""Server must return 403 for files outside htdocs."""
<|body_0|>
def test_python_files_content(self):
"""Server must return 403 for files outside htdocs."""
... | stack_v2_sparse_classes_75kplus_train_074752 | 17,868 | no_license | [
{
"docstring": "Server must return 403 for files outside htdocs.",
"name": "test_python_files_status",
"signature": "def test_python_files_status(self)"
},
{
"docstring": "Server must return 403 for files outside htdocs.",
"name": "test_python_files_content",
"signature": "def test_pytho... | 3 | null | Implement the Python class `TestInsecureRequests` described below.
Class description:
Tests insecure requests to a server.
Method signatures and docstrings:
- def test_python_files_status(self): Server must return 403 for files outside htdocs.
- def test_python_files_content(self): Server must return 403 for files ou... | Implement the Python class `TestInsecureRequests` described below.
Class description:
Tests insecure requests to a server.
Method signatures and docstrings:
- def test_python_files_status(self): Server must return 403 for files outside htdocs.
- def test_python_files_content(self): Server must return 403 for files ou... | d27b122c87131789178f77e6f693b718dd57c594 | <|skeleton|>
class TestInsecureRequests:
"""Tests insecure requests to a server."""
def test_python_files_status(self):
"""Server must return 403 for files outside htdocs."""
<|body_0|>
def test_python_files_content(self):
"""Server must return 403 for files outside htdocs."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestInsecureRequests:
"""Tests insecure requests to a server."""
def test_python_files_status(self):
"""Server must return 403 for files outside htdocs."""
try:
res = urllib.request.urlopen(self.url + '../httpserver.py')
self.assertNotEqual(res.status, 200)
... | the_stack_v2_python_sparse | 2º Ano/2º Semestre/Computação Distribuida/Projectos/tp3-team-alexandrecoelho-sergioverissimo-t3/tests.py | alexmpc98/Engenharia-Informatica-IPS | train | 4 |
5a9bc394abfec97c2ed61fdca423b0a26c146d42 | [
"threading.Thread.__init__(self)\nself.taskBuffer = taskBuffer\nif log_stream:\n self.log_stream = log_stream\nelse:\n self.log_stream = _logger\nif hasattr(panda_config, 'CRIC_URL_SCHEDCONFIG'):\n self.CRIC_URL_TAGS = panda_config.CRIC_URL_TAGS\nelse:\n self.CRIC_URL_TAGS = 'https://atlas-cric.cern.ch/... | <|body_start_0|>
threading.Thread.__init__(self)
self.taskBuffer = taskBuffer
if log_stream:
self.log_stream = log_stream
else:
self.log_stream = _logger
if hasattr(panda_config, 'CRIC_URL_SCHEDCONFIG'):
self.CRIC_URL_TAGS = panda_config.CRIC_U... | Downloads the CRIC tags dump, flattens it out and stores it in the DB, one row per queue | SWTagsDumper | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SWTagsDumper:
"""Downloads the CRIC tags dump, flattens it out and stores it in the DB, one row per queue"""
def __init__(self, taskBuffer, log_stream=None):
"""Initialization and configuration"""
<|body_0|>
def run(self):
"""Principal function"""
<|body_... | stack_v2_sparse_classes_75kplus_train_074753 | 38,097 | permissive | [
{
"docstring": "Initialization and configuration",
"name": "__init__",
"signature": "def __init__(self, taskBuffer, log_stream=None)"
},
{
"docstring": "Principal function",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_052089 | Implement the Python class `SWTagsDumper` described below.
Class description:
Downloads the CRIC tags dump, flattens it out and stores it in the DB, one row per queue
Method signatures and docstrings:
- def __init__(self, taskBuffer, log_stream=None): Initialization and configuration
- def run(self): Principal functi... | Implement the Python class `SWTagsDumper` described below.
Class description:
Downloads the CRIC tags dump, flattens it out and stores it in the DB, one row per queue
Method signatures and docstrings:
- def __init__(self, taskBuffer, log_stream=None): Initialization and configuration
- def run(self): Principal functi... | 365a9feb55d493b208e3052428f0b524e63e4178 | <|skeleton|>
class SWTagsDumper:
"""Downloads the CRIC tags dump, flattens it out and stores it in the DB, one row per queue"""
def __init__(self, taskBuffer, log_stream=None):
"""Initialization and configuration"""
<|body_0|>
def run(self):
"""Principal function"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SWTagsDumper:
"""Downloads the CRIC tags dump, flattens it out and stores it in the DB, one row per queue"""
def __init__(self, taskBuffer, log_stream=None):
"""Initialization and configuration"""
threading.Thread.__init__(self)
self.taskBuffer = taskBuffer
if log_stream:
... | the_stack_v2_python_sparse | pandaserver/configurator/Configurator.py | PanDAWMS/panda-server | train | 8 |
dc69eff9bb07d104cf822482c048f07af91fc9c9 | [
"try:\n return obj.next_item_id\nexcept AttributeError:\n try:\n item = Item.objects.get(branch=obj.branch, lesson=obj.lesson, order=obj.order + 1)\n return {'item_id': item.item_id, 'type': item.type.id, 'category': item.type.category}\n except Item.DoesNotExist:\n return {'item_id': ... | <|body_start_0|>
try:
return obj.next_item_id
except AttributeError:
try:
item = Item.objects.get(branch=obj.branch, lesson=obj.lesson, order=obj.order + 1)
return {'item_id': item.item_id, 'type': item.type.id, 'category': item.type.category}
... | Serialize an Item of type Assignment with its basic properties and calculated analytics. Calculates the following analytics: submissions: Number of submissions to the assignment. submission_ratio: Number of submissions divided by the number of enrolled students. average_grade: The average grade of all students who comp... | AssignmentAnalyticsSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AssignmentAnalyticsSerializer:
"""Serialize an Item of type Assignment with its basic properties and calculated analytics. Calculates the following analytics: submissions: Number of submissions to the assignment. submission_ratio: Number of submissions divided by the number of enrolled students. ... | stack_v2_sparse_classes_75kplus_train_074754 | 12,166 | no_license | [
{
"docstring": "Return the next item in the lesson, if any.",
"name": "get_next_item",
"signature": "def get_next_item(self, obj)"
},
{
"docstring": "Return the next assignment in the lesson, if any.",
"name": "get_next_assignment",
"signature": "def get_next_assignment(self, obj)"
}
] | 2 | stack_v2_sparse_classes_30k_train_029571 | Implement the Python class `AssignmentAnalyticsSerializer` described below.
Class description:
Serialize an Item of type Assignment with its basic properties and calculated analytics. Calculates the following analytics: submissions: Number of submissions to the assignment. submission_ratio: Number of submissions divid... | Implement the Python class `AssignmentAnalyticsSerializer` described below.
Class description:
Serialize an Item of type Assignment with its basic properties and calculated analytics. Calculates the following analytics: submissions: Number of submissions to the assignment. submission_ratio: Number of submissions divid... | f701eee3e8ced9a839401e268031c2d497252e8a | <|skeleton|>
class AssignmentAnalyticsSerializer:
"""Serialize an Item of type Assignment with its basic properties and calculated analytics. Calculates the following analytics: submissions: Number of submissions to the assignment. submission_ratio: Number of submissions divided by the number of enrolled students. ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AssignmentAnalyticsSerializer:
"""Serialize an Item of type Assignment with its basic properties and calculated analytics. Calculates the following analytics: submissions: Number of submissions to the assignment. submission_ratio: Number of submissions divided by the number of enrolled students. average_grade... | the_stack_v2_python_sparse | coursera/serializers/items.py | cornytrace/SEP-Autumn-2018-Group2-Coursera | train | 0 |
01c9f97169cc36b84ceb28be27208d19fc3942bb | [
"if not root:\n return 0\nreturn 1 + self.countNodes(root.left) + self.countNodes(root.right)",
"if not root:\n return 0\nq = [root]\ncnt = 1\nwhile q:\n tmp = q.pop()\n if tmp.left:\n q.append(tmp.left)\n cnt += 1\n if tmp.right:\n q.append(tmp.right)\n cnt += 1\nreturn... | <|body_start_0|>
if not root:
return 0
return 1 + self.countNodes(root.left) + self.countNodes(root.right)
<|end_body_0|>
<|body_start_1|>
if not root:
return 0
q = [root]
cnt = 1
while q:
tmp = q.pop()
if tmp.left:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countNodes(self, root):
"""brute force recursive, TLE :type root: TreeNode :rtype: int"""
<|body_0|>
def countNodes2(self, root):
"""brute force iteration, TLE :param root: :return:"""
<|body_1|>
def countNode3(self, root):
"""cuz i... | stack_v2_sparse_classes_75kplus_train_074755 | 1,338 | no_license | [
{
"docstring": "brute force recursive, TLE :type root: TreeNode :rtype: int",
"name": "countNodes",
"signature": "def countNodes(self, root)"
},
{
"docstring": "brute force iteration, TLE :param root: :return:",
"name": "countNodes2",
"signature": "def countNodes2(self, root)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_018449 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root): brute force recursive, TLE :type root: TreeNode :rtype: int
- def countNodes2(self, root): brute force iteration, TLE :param root: :return:
- def coun... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root): brute force recursive, TLE :type root: TreeNode :rtype: int
- def countNodes2(self, root): brute force iteration, TLE :param root: :return:
- def coun... | e16702d2b3ec4e5054baad56f4320bc3b31676ad | <|skeleton|>
class Solution:
def countNodes(self, root):
"""brute force recursive, TLE :type root: TreeNode :rtype: int"""
<|body_0|>
def countNodes2(self, root):
"""brute force iteration, TLE :param root: :return:"""
<|body_1|>
def countNode3(self, root):
"""cuz i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def countNodes(self, root):
"""brute force recursive, TLE :type root: TreeNode :rtype: int"""
if not root:
return 0
return 1 + self.countNodes(root.left) + self.countNodes(root.right)
def countNodes2(self, root):
"""brute force iteration, TLE :param r... | the_stack_v2_python_sparse | leetcode/medium/count_complete_tree_nodes.py | SuperMartinYang/learning_algorithm | train | 0 | |
b2b9968cfa4eee77f384f1af3139cdf8e58b0517 | [
"def get_bytes(size):\n return reversed([chr(size >> i * 8 & 255) for i in range(4)])\nres = []\nfor s in strs:\n res.extend(get_bytes(len(s)))\n res.append(s)\nreturn ''.join(res)",
"i = 0\nres = []\nwhile i < len(s):\n size = 0\n for c in s[i:i + 4]:\n size = (size << 8) + ord(c)\n i +=... | <|body_start_0|>
def get_bytes(size):
return reversed([chr(size >> i * 8 & 255) for i in range(4)])
res = []
for s in strs:
res.extend(get_bytes(len(s)))
res.append(s)
return ''.join(res)
<|end_body_0|>
<|body_start_1|>
i = 0
res = []
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def get_b... | stack_v2_sparse_classes_75kplus_train_074756 | 1,610 | no_license | [
{
"docstring": "Encodes a list of strings to a single string.",
"name": "encode",
"signature": "def encode(self, strs: [str]) -> str"
},
{
"docstring": "Decodes a single string to a list of strings.",
"name": "decode",
"signature": "def decode(self, s: str) -> [str]"
}
] | 2 | stack_v2_sparse_classes_30k_train_009869 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, s: str) -> [str]: Decodes a single string to a list of strings. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, s: str) -> [str]: Decodes a single string to a list of strings.
<|skeleton|>
cla... | 84b35ec9a4e4319b29eb5f0f226543c9f3f47630 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
def get_bytes(size):
return reversed([chr(size >> i * 8 & 255) for i in range(4)])
res = []
for s in strs:
res.extend(get_bytes(len(s)))
res.appe... | the_stack_v2_python_sparse | encode-and-decode-strings.py | maomao905/algo | train | 0 | |
064c2df19750ff35d26599156b1aaf1a92a789f0 | [
"self.bytes_value = bytes_value\nself.double_value = double_value\nself.int_64_value = int_64_value\nself.string_value = string_value",
"if dictionary is None:\n return None\nbytes_value = dictionary.get('bytesValue')\ndouble_value = dictionary.get('doubleValue')\nint_64_value = dictionary.get('int64Value')\ns... | <|body_start_0|>
self.bytes_value = bytes_value
self.double_value = double_value
self.int_64_value = int_64_value
self.string_value = string_value
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
bytes_value = dictionary.get('bytesValue')
... | Implementation of the 'Value_Data' model. Specifies the fields to store data of a given type. Specify data in the appropriate field for the current data type. Attributes: bytes_value (list of long|int): Specifies the field to store an array of bytes if the current data type is bytes. Specify a value for this field when... | Value_Data | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Value_Data:
"""Implementation of the 'Value_Data' model. Specifies the fields to store data of a given type. Specify data in the appropriate field for the current data type. Attributes: bytes_value (list of long|int): Specifies the field to store an array of bytes if the current data type is byte... | stack_v2_sparse_classes_75kplus_train_074757 | 2,688 | permissive | [
{
"docstring": "Constructor for the Value_Data class",
"name": "__init__",
"signature": "def __init__(self, bytes_value=None, double_value=None, int_64_value=None, string_value=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictiona... | 2 | null | Implement the Python class `Value_Data` described below.
Class description:
Implementation of the 'Value_Data' model. Specifies the fields to store data of a given type. Specify data in the appropriate field for the current data type. Attributes: bytes_value (list of long|int): Specifies the field to store an array of... | Implement the Python class `Value_Data` described below.
Class description:
Implementation of the 'Value_Data' model. Specifies the fields to store data of a given type. Specify data in the appropriate field for the current data type. Attributes: bytes_value (list of long|int): Specifies the field to store an array of... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class Value_Data:
"""Implementation of the 'Value_Data' model. Specifies the fields to store data of a given type. Specify data in the appropriate field for the current data type. Attributes: bytes_value (list of long|int): Specifies the field to store an array of bytes if the current data type is byte... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Value_Data:
"""Implementation of the 'Value_Data' model. Specifies the fields to store data of a given type. Specify data in the appropriate field for the current data type. Attributes: bytes_value (list of long|int): Specifies the field to store an array of bytes if the current data type is bytes. Specify a ... | the_stack_v2_python_sparse | cohesity_management_sdk/models/value_data.py | cohesity/management-sdk-python | train | 24 |
bf0a30387469fe3617ad31766c28da0c30e6f179 | [
"super().__init__(prev_node)\nself.in_dim = prev_node.out_dim\nself.out_dim = np.prod(self.in_dim)\nself.in_var = prev_node.out_var\nself.out_var = Allocation.allocate_var('float', 'x', self.out_dim)",
"n = AssignmentNode(self.out_var, self.in_var)\nself.pointer_decls.append(self.out_var)\nself.add_edge('content'... | <|body_start_0|>
super().__init__(prev_node)
self.in_dim = prev_node.out_dim
self.out_dim = np.prod(self.in_dim)
self.in_var = prev_node.out_var
self.out_var = Allocation.allocate_var('float', 'x', self.out_dim)
<|end_body_0|>
<|body_start_1|>
n = AssignmentNode(self.out... | Node that lowers the dimension. | FlattenNode | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlattenNode:
"""Node that lowers the dimension."""
def __init__(self, prev_node):
"""Initialize this node. :param prev_node: The previous node."""
<|body_0|>
def lowering(self):
"""Create the loops required to express this node in ANSI C code without SIMD and rep... | stack_v2_sparse_classes_75kplus_train_074758 | 20,388 | permissive | [
{
"docstring": "Initialize this node. :param prev_node: The previous node.",
"name": "__init__",
"signature": "def __init__(self, prev_node)"
},
{
"docstring": "Create the loops required to express this node in ANSI C code without SIMD and replace this node. This loop will stay in graph to provi... | 2 | stack_v2_sparse_classes_30k_train_015095 | Implement the Python class `FlattenNode` described below.
Class description:
Node that lowers the dimension.
Method signatures and docstrings:
- def __init__(self, prev_node): Initialize this node. :param prev_node: The previous node.
- def lowering(self): Create the loops required to express this node in ANSI C code... | Implement the Python class `FlattenNode` described below.
Class description:
Node that lowers the dimension.
Method signatures and docstrings:
- def __init__(self, prev_node): Initialize this node. :param prev_node: The previous node.
- def lowering(self): Create the loops required to express this node in ANSI C code... | 987b0efeb56cd150b3a34b672fd5eba05e6d491f | <|skeleton|>
class FlattenNode:
"""Node that lowers the dimension."""
def __init__(self, prev_node):
"""Initialize this node. :param prev_node: The previous node."""
<|body_0|>
def lowering(self):
"""Create the loops required to express this node in ANSI C code without SIMD and rep... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlattenNode:
"""Node that lowers the dimension."""
def __init__(self, prev_node):
"""Initialize this node. :param prev_node: The previous node."""
super().__init__(prev_node)
self.in_dim = prev_node.out_dim
self.out_dim = np.prod(self.in_dim)
self.in_var = prev_nod... | the_stack_v2_python_sparse | nncg/nodes/cnn.py | iml130/nncg | train | 34 |
e11d4498884d36c1d2b084335ab055ff94be2d86 | [
"Thread.__init__(self)\nself.client = client\nself.transcript = transcript",
"self.name = decode(self.client.recv(BUFSIZE), CODE)\nif not self.name:\n print('Client disconnected')\n self.client.close()\nelse:\n print(self.name, 'is connected')\n while True:\n self.client.send(bytes(str(self.tra... | <|body_start_0|>
Thread.__init__(self)
self.client = client
self.transcript = transcript
<|end_body_0|>
<|body_start_1|>
self.name = decode(self.client.recv(BUFSIZE), CODE)
if not self.name:
print('Client disconnected')
self.client.close()
else:
... | Handles chatroom requests from a client. | ChatClientHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChatClientHandler:
"""Handles chatroom requests from a client."""
def __init__(self, client, transcript):
"""Save references to the client socket and shared transcript."""
<|body_0|>
def run(self):
"""Obtains name from the client, then enters an interative loop t... | stack_v2_sparse_classes_75kplus_train_074759 | 1,692 | no_license | [
{
"docstring": "Save references to the client socket and shared transcript.",
"name": "__init__",
"signature": "def __init__(self, client, transcript)"
},
{
"docstring": "Obtains name from the client, then enters an interative loop to take and respond to requests.",
"name": "run",
"signa... | 2 | stack_v2_sparse_classes_30k_train_044396 | Implement the Python class `ChatClientHandler` described below.
Class description:
Handles chatroom requests from a client.
Method signatures and docstrings:
- def __init__(self, client, transcript): Save references to the client socket and shared transcript.
- def run(self): Obtains name from the client, then enters... | Implement the Python class `ChatClientHandler` described below.
Class description:
Handles chatroom requests from a client.
Method signatures and docstrings:
- def __init__(self, client, transcript): Save references to the client socket and shared transcript.
- def run(self): Obtains name from the client, then enters... | d0a79d91a51c76cbb75830f7a8d1ce72174ad220 | <|skeleton|>
class ChatClientHandler:
"""Handles chatroom requests from a client."""
def __init__(self, client, transcript):
"""Save references to the client socket and shared transcript."""
<|body_0|>
def run(self):
"""Obtains name from the client, then enters an interative loop t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChatClientHandler:
"""Handles chatroom requests from a client."""
def __init__(self, client, transcript):
"""Save references to the client socket and shared transcript."""
Thread.__init__(self)
self.client = client
self.transcript = transcript
def run(self):
"... | the_stack_v2_python_sparse | module-06/chatclienthandler.py | tjsaotome65/sec430-python | train | 2 |
d61e244dc98461ad386353ac916b535d7681454e | [
"IO_files = {}\nfile_names = set()\nfor fl in in_dir.files:\n if self.name not in fl.users:\n if utils.splitext(fl.name)[-1] in self.input_types:\n IO_files['-!i'] = os.path.join(in_dir.path, fl.name)\n command_ids = [utils.infer_path_id(IO_files['-!i'])]\n in_dir.use_file... | <|body_start_0|>
IO_files = {}
file_names = set()
for fl in in_dir.files:
if self.name not in fl.users:
if utils.splitext(fl.name)[-1] in self.input_types:
IO_files['-!i'] = os.path.join(in_dir.path, fl.name)
command_ids = [util... | Class for using history2ms. Parameters: in_cmd: String containing a command line in_dir: Directory object containing input files out_dir: Directory object containing output files NOTICE! Keep the directory objects up to date about file edits! Attributes: name: Name of the function. input_type: Input types accepted by t... | psmc_history2ms | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class psmc_history2ms:
"""Class for using history2ms. Parameters: in_cmd: String containing a command line in_dir: Directory object containing input files out_dir: Directory object containing output files NOTICE! Keep the directory objects up to date about file edits! Attributes: name: Name of the func... | stack_v2_sparse_classes_75kplus_train_074760 | 19,984 | permissive | [
{
"docstring": "Infers the input and output file paths. This method must keep the directory objects up to date of the file edits! Parameters: in_cmd: A dict containing the command line. in_dir: Input directory (instance of filetypes.Directory). out_dir: Output directory (instance of filetypes.Directory). Return... | 2 | stack_v2_sparse_classes_30k_train_038684 | Implement the Python class `psmc_history2ms` described below.
Class description:
Class for using history2ms. Parameters: in_cmd: String containing a command line in_dir: Directory object containing input files out_dir: Directory object containing output files NOTICE! Keep the directory objects up to date about file ed... | Implement the Python class `psmc_history2ms` described below.
Class description:
Class for using history2ms. Parameters: in_cmd: String containing a command line in_dir: Directory object containing input files out_dir: Directory object containing output files NOTICE! Keep the directory objects up to date about file ed... | fd83eee4be0bb78c67a111fd1c1c1dff4c16aefe | <|skeleton|>
class psmc_history2ms:
"""Class for using history2ms. Parameters: in_cmd: String containing a command line in_dir: Directory object containing input files out_dir: Directory object containing output files NOTICE! Keep the directory objects up to date about file edits! Attributes: name: Name of the func... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class psmc_history2ms:
"""Class for using history2ms. Parameters: in_cmd: String containing a command line in_dir: Directory object containing input files out_dir: Directory object containing output files NOTICE! Keep the directory objects up to date about file edits! Attributes: name: Name of the function. input_t... | the_stack_v2_python_sparse | modules/psmc.py | tyrmi/STAPLER | train | 4 |
7f54de7d90a3f0a796d6d63a649548115660925b | [
"if x < 0:\n return False\nxstr = str(x)\nreturn xstr == xstr[::-1]",
"if x < 0 or (x % 10 == 0 and x != 0):\n return False\nreverted_x = 0\nwhile x > reverted_x:\n reverted_x = reverted_x * 10 + x % 10\n x /= 10\nreturn x == reverted_x or x == reverted_x / 10"
] | <|body_start_0|>
if x < 0:
return False
xstr = str(x)
return xstr == xstr[::-1]
<|end_body_0|>
<|body_start_1|>
if x < 0 or (x % 10 == 0 and x != 0):
return False
reverted_x = 0
while x > reverted_x:
reverted_x = reverted_x * 10 + x % ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindromeStr(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if x < 0:
return False
xstr = str(x)
... | stack_v2_sparse_classes_75kplus_train_074761 | 618 | no_license | [
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindromeStr",
"signature": "def isPalindromeStr(self, x)"
},
{
"docstring": ":type x: int :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindromeStr(self, x): :type x: int :rtype: bool
- def isPalindrome(self, x): :type x: int :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindromeStr(self, x): :type x: int :rtype: bool
- def isPalindrome(self, x): :type x: int :rtype: bool
<|skeleton|>
class Solution:
def isPalindromeStr(self, x):
... | 5c2473f859da5efec73120256faad06ab8e0e359 | <|skeleton|>
class Solution:
def isPalindromeStr(self, x):
""":type x: int :rtype: bool"""
<|body_0|>
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isPalindromeStr(self, x):
""":type x: int :rtype: bool"""
if x < 0:
return False
xstr = str(x)
return xstr == xstr[::-1]
def isPalindrome(self, x):
""":type x: int :rtype: bool"""
if x < 0 or (x % 10 == 0 and x != 0):
r... | the_stack_v2_python_sparse | leetcode/palindrome_number.py | chlos/exercises_in_futility | train | 0 | |
baf42b7dc4b506ad175dbf9a2ecf7a4414ff65b3 | [
"assert isinstance(response, scrapy.http.response.html.HtmlResponse)\nBOARDS = ['General Boat Fishing Talk', 'Fishing Kayaks']\nURLS = ['https://www.southwestseafishing.co.uk/forum/boat-fishing/general-boat-fishing-talk', 'https://www.southwestseafishing.co.uk/forum/boat-fishing/fishing-kayaks']\nPAGES = [36, 3]\na... | <|body_start_0|>
assert isinstance(response, scrapy.http.response.html.HtmlResponse)
BOARDS = ['General Boat Fishing Talk', 'Fishing Kayaks']
URLS = ['https://www.southwestseafishing.co.uk/forum/boat-fishing/general-boat-fishing-talk', 'https://www.southwestseafishing.co.uk/forum/boat-fishing/fi... | scrape reports from angling addicts forum | SouthWestSeaFishingBoatSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SouthWestSeaFishingBoatSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board"""
<|body_0|>
def crawl_board_threads(self, response):
"""crawl"""
<|body_1|>
def parse_thread(self, respo... | stack_v2_sparse_classes_75kplus_train_074762 | 7,237 | no_license | [
{
"docstring": "generate links to pages in a board",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "crawl",
"name": "crawl_board_threads",
"signature": "def crawl_board_threads(self, response)"
},
{
"docstring": "open a report thread and parse first ... | 3 | stack_v2_sparse_classes_30k_train_033681 | Implement the Python class `SouthWestSeaFishingBoatSpider` described below.
Class description:
scrape reports from angling addicts forum
Method signatures and docstrings:
- def parse(self, response): generate links to pages in a board
- def crawl_board_threads(self, response): crawl
- def parse_thread(self, response)... | Implement the Python class `SouthWestSeaFishingBoatSpider` described below.
Class description:
scrape reports from angling addicts forum
Method signatures and docstrings:
- def parse(self, response): generate links to pages in a board
- def crawl_board_threads(self, response): crawl
- def parse_thread(self, response)... | 9123aa6baf538b662143b9098d963d55165e8409 | <|skeleton|>
class SouthWestSeaFishingBoatSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board"""
<|body_0|>
def crawl_board_threads(self, response):
"""crawl"""
<|body_1|>
def parse_thread(self, respo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SouthWestSeaFishingBoatSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board"""
assert isinstance(response, scrapy.http.response.html.HtmlResponse)
BOARDS = ['General Boat Fishing Talk', 'Fishing Kayaks']
U... | the_stack_v2_python_sparse | imgscrape/spiders/southwestseafishing.py | gmonkman/python | train | 0 |
5ca359631eab5a5205457dba67ca43f49785e9c1 | [
"if not string:\n return ''\nm, M = (min(string), max(string))\nfor i, letter in enumerate(m):\n if letter != M[i]:\n return m[:i]\nreturn m",
"if not string:\n return ''\nm = min(string, key=len)\nleft, right = (0, len(m))\nwhile left <= right:\n pivot = (left + right) // 2\n prefix = strin... | <|body_start_0|>
if not string:
return ''
m, M = (min(string), max(string))
for i, letter in enumerate(m):
if letter != M[i]:
return m[:i]
return m
<|end_body_0|>
<|body_start_1|>
if not string:
return ''
m = min(string... | LongestCommonPrefix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LongestCommonPrefix:
def longest_common_prefix_1(self, string: str) -> str:
"""Approach: Using min and max function. :param string: :return:"""
<|body_0|>
def longest_common_prefix_2(self, string: str) -> str:
"""Approach: Binary Search :param string: :return:"""
... | stack_v2_sparse_classes_75kplus_train_074763 | 1,164 | no_license | [
{
"docstring": "Approach: Using min and max function. :param string: :return:",
"name": "longest_common_prefix_1",
"signature": "def longest_common_prefix_1(self, string: str) -> str"
},
{
"docstring": "Approach: Binary Search :param string: :return:",
"name": "longest_common_prefix_2",
... | 2 | stack_v2_sparse_classes_30k_train_021567 | Implement the Python class `LongestCommonPrefix` described below.
Class description:
Implement the LongestCommonPrefix class.
Method signatures and docstrings:
- def longest_common_prefix_1(self, string: str) -> str: Approach: Using min and max function. :param string: :return:
- def longest_common_prefix_2(self, str... | Implement the Python class `LongestCommonPrefix` described below.
Class description:
Implement the LongestCommonPrefix class.
Method signatures and docstrings:
- def longest_common_prefix_1(self, string: str) -> str: Approach: Using min and max function. :param string: :return:
- def longest_common_prefix_2(self, str... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class LongestCommonPrefix:
def longest_common_prefix_1(self, string: str) -> str:
"""Approach: Using min and max function. :param string: :return:"""
<|body_0|>
def longest_common_prefix_2(self, string: str) -> str:
"""Approach: Binary Search :param string: :return:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LongestCommonPrefix:
def longest_common_prefix_1(self, string: str) -> str:
"""Approach: Using min and max function. :param string: :return:"""
if not string:
return ''
m, M = (min(string), max(string))
for i, letter in enumerate(m):
if letter != M[i]:
... | the_stack_v2_python_sparse | math_and_srings/longestcommonprefix.py | Shiv2157k/leet_code | train | 1 | |
be792b51708bb811c58226e9b39f341f63d2f480 | [
"super(CovarianceTest, self).setUp()\ndata_in = self.get_file('covariance_correlation.csv')\nself.base_frame = self.context.frame.import_csv(data_in)",
"sparktk_result = self.base_frame.covariance('C1', 'C4')\nC1_C4_columns_data = self.base_frame.take(self.base_frame.count(), columns=['C1', 'C4']).data\nnumpy_res... | <|body_start_0|>
super(CovarianceTest, self).setUp()
data_in = self.get_file('covariance_correlation.csv')
self.base_frame = self.context.frame.import_csv(data_in)
<|end_body_0|>
<|body_start_1|>
sparktk_result = self.base_frame.covariance('C1', 'C4')
C1_C4_columns_data = self.b... | CovarianceTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CovarianceTest:
def setUp(self):
"""Build test frames"""
<|body_0|>
def test_covar(self):
"""Test covariance between 2 columns"""
<|body_1|>
def test_covar_matrix(self):
"""Verify covariance matrix on all columns"""
<|body_2|>
<|end_skel... | stack_v2_sparse_classes_75kplus_train_074764 | 1,805 | permissive | [
{
"docstring": "Build test frames",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test covariance between 2 columns",
"name": "test_covar",
"signature": "def test_covar(self)"
},
{
"docstring": "Verify covariance matrix on all columns",
"name": "test_cova... | 3 | stack_v2_sparse_classes_30k_train_035720 | Implement the Python class `CovarianceTest` described below.
Class description:
Implement the CovarianceTest class.
Method signatures and docstrings:
- def setUp(self): Build test frames
- def test_covar(self): Test covariance between 2 columns
- def test_covar_matrix(self): Verify covariance matrix on all columns | Implement the Python class `CovarianceTest` described below.
Class description:
Implement the CovarianceTest class.
Method signatures and docstrings:
- def setUp(self): Build test frames
- def test_covar(self): Test covariance between 2 columns
- def test_covar_matrix(self): Verify covariance matrix on all columns
<... | 21618500680f2f16ada4cb31684adf3ef3073ce5 | <|skeleton|>
class CovarianceTest:
def setUp(self):
"""Build test frames"""
<|body_0|>
def test_covar(self):
"""Test covariance between 2 columns"""
<|body_1|>
def test_covar_matrix(self):
"""Verify covariance matrix on all columns"""
<|body_2|>
<|end_skel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CovarianceTest:
def setUp(self):
"""Build test frames"""
super(CovarianceTest, self).setUp()
data_in = self.get_file('covariance_correlation.csv')
self.base_frame = self.context.frame.import_csv(data_in)
def test_covar(self):
"""Test covariance between 2 columns"""... | the_stack_v2_python_sparse | regression-tests/sparktkregtests/testcases/frames/covariance_test.py | abhiwand/spark-tk | train | 0 | |
946e0fa97dd5b47545f0afb29795f4cb3ef44822 | [
"actionAngle.__init__(self, ro=kwargs.get('ro', None), vo=kwargs.get('vo', None))\nif not 'omega' in kwargs:\n raise OSError('Must specify omega= for actionAngleHarmonic')\nself._omega = conversion.parse_frequency(kwargs.get('omega'), ro=self._ro, vo=self._vo)\nreturn None",
"if len(args) == 2:\n x, vx = ar... | <|body_start_0|>
actionAngle.__init__(self, ro=kwargs.get('ro', None), vo=kwargs.get('vo', None))
if not 'omega' in kwargs:
raise OSError('Must specify omega= for actionAngleHarmonic')
self._omega = conversion.parse_frequency(kwargs.get('omega'), ro=self._ro, vo=self._vo)
ret... | Action-angle formalism for the one-dimensional harmonic oscillator | actionAngleHarmonic | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class actionAngleHarmonic:
"""Action-angle formalism for the one-dimensional harmonic oscillator"""
def __init__(self, *args, **kwargs):
"""NAME: __init__ PURPOSE: initialize an actionAngleHarmonic object INPUT: omega= frequencies (can be Quantity) ro= distance from vantage point to GC (kp... | stack_v2_sparse_classes_75kplus_train_074765 | 4,113 | permissive | [
{
"docstring": "NAME: __init__ PURPOSE: initialize an actionAngleHarmonic object INPUT: omega= frequencies (can be Quantity) ro= distance from vantage point to GC (kpc; can be Quantity) vo= circular velocity at ro (km/s; can be Quantity) OUTPUT: instance HISTORY: 2018-04-08 - Written - Bovy (Uoft)",
"name":... | 4 | null | Implement the Python class `actionAngleHarmonic` described below.
Class description:
Action-angle formalism for the one-dimensional harmonic oscillator
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): NAME: __init__ PURPOSE: initialize an actionAngleHarmonic object INPUT: omega= frequencies (c... | Implement the Python class `actionAngleHarmonic` described below.
Class description:
Action-angle formalism for the one-dimensional harmonic oscillator
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): NAME: __init__ PURPOSE: initialize an actionAngleHarmonic object INPUT: omega= frequencies (c... | a46619fd4f5979acfccad23f4d57503033f440c5 | <|skeleton|>
class actionAngleHarmonic:
"""Action-angle formalism for the one-dimensional harmonic oscillator"""
def __init__(self, *args, **kwargs):
"""NAME: __init__ PURPOSE: initialize an actionAngleHarmonic object INPUT: omega= frequencies (can be Quantity) ro= distance from vantage point to GC (kp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class actionAngleHarmonic:
"""Action-angle formalism for the one-dimensional harmonic oscillator"""
def __init__(self, *args, **kwargs):
"""NAME: __init__ PURPOSE: initialize an actionAngleHarmonic object INPUT: omega= frequencies (can be Quantity) ro= distance from vantage point to GC (kpc; can be Qua... | the_stack_v2_python_sparse | galpy/actionAngle/actionAngleHarmonic.py | jobovy/galpy | train | 182 |
3663a602587ee67b394b718bef084a8c1d7e667c | [
"tag_seq = Seq(seq_len)\nfor type_, start, end in tag_indexes:\n if len(set(tag_seq[start:end])) > 1:\n if not tag_seq.check_clean(type_, start, end):\n continue\n tag_seq[start] = 'B-%s' % type_\n tag_seq[start + 1:end] = ['I-%s' % type_] * (end - start - 1)\nreturn tag_seq.seq",
"tag_... | <|body_start_0|>
tag_seq = Seq(seq_len)
for type_, start, end in tag_indexes:
if len(set(tag_seq[start:end])) > 1:
if not tag_seq.check_clean(type_, start, end):
continue
tag_seq[start] = 'B-%s' % type_
tag_seq[start + 1:end] = ['I-... | BIO标注法标注 | BioTagger | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BioTagger:
"""BIO标注法标注"""
def ind_to_seq(self, seq_len, tag_indexes):
"""实体索引转换成BIO标注序列,若两个实体的索引重叠，只取其一 Args ---- seq_len : int, 原始文档的长度 tag_indexes : iterable, 迭代 (实体类型, 实体起始索引, 实体结束索引)元组 Returns ------- tag_seq : list, bio标注序列"""
<|body_0|>
def seq_to_ind(self, tag_seq... | stack_v2_sparse_classes_75kplus_train_074766 | 4,361 | no_license | [
{
"docstring": "实体索引转换成BIO标注序列,若两个实体的索引重叠，只取其一 Args ---- seq_len : int, 原始文档的长度 tag_indexes : iterable, 迭代 (实体类型, 实体起始索引, 实体结束索引)元组 Returns ------- tag_seq : list, bio标注序列",
"name": "ind_to_seq",
"signature": "def ind_to_seq(self, seq_len, tag_indexes)"
},
{
"docstring": "BIO标注序列转换成索引格式 Args ---... | 2 | null | Implement the Python class `BioTagger` described below.
Class description:
BIO标注法标注
Method signatures and docstrings:
- def ind_to_seq(self, seq_len, tag_indexes): 实体索引转换成BIO标注序列,若两个实体的索引重叠，只取其一 Args ---- seq_len : int, 原始文档的长度 tag_indexes : iterable, 迭代 (实体类型, 实体起始索引, 实体结束索引)元组 Returns ------- tag_seq : list, bio标注序... | Implement the Python class `BioTagger` described below.
Class description:
BIO标注法标注
Method signatures and docstrings:
- def ind_to_seq(self, seq_len, tag_indexes): 实体索引转换成BIO标注序列,若两个实体的索引重叠，只取其一 Args ---- seq_len : int, 原始文档的长度 tag_indexes : iterable, 迭代 (实体类型, 实体起始索引, 实体结束索引)元组 Returns ------- tag_seq : list, bio标注序... | 359d0c4e2d0daf0121f06469a853260b1a9a3664 | <|skeleton|>
class BioTagger:
"""BIO标注法标注"""
def ind_to_seq(self, seq_len, tag_indexes):
"""实体索引转换成BIO标注序列,若两个实体的索引重叠，只取其一 Args ---- seq_len : int, 原始文档的长度 tag_indexes : iterable, 迭代 (实体类型, 实体起始索引, 实体结束索引)元组 Returns ------- tag_seq : list, bio标注序列"""
<|body_0|>
def seq_to_ind(self, tag_seq... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BioTagger:
"""BIO标注法标注"""
def ind_to_seq(self, seq_len, tag_indexes):
"""实体索引转换成BIO标注序列,若两个实体的索引重叠，只取其一 Args ---- seq_len : int, 原始文档的长度 tag_indexes : iterable, 迭代 (实体类型, 实体起始索引, 实体结束索引)元组 Returns ------- tag_seq : list, bio标注序列"""
tag_seq = Seq(seq_len)
for type_, start, end in t... | the_stack_v2_python_sparse | ruijin/util/tagger.py | VondaZhu/competitions | train | 0 |
5bb716ba3bb943ac75a9c5b450904e7a88e6c0ea | [
"if id is not None:\n self.id = id\nelse:\n Base.__nb_objects += 1\n self.id = Base.__nb_objects",
"if list_dictionaries is None or list_dictionaries == []:\n return '[]'\nelse:\n return json.dumps(list_dictionaries)",
"filename = str(cls.__name__) + '.json'\nwith open(filename, mode='w', encodin... | <|body_start_0|>
if id is not None:
self.id = id
else:
Base.__nb_objects += 1
self.id = Base.__nb_objects
<|end_body_0|>
<|body_start_1|>
if list_dictionaries is None or list_dictionaries == []:
return '[]'
else:
return json.du... | The Base class | Base | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Base:
"""The Base class"""
def __init__(self, id=None):
"""A Class constructor to initialize id"""
<|body_0|>
def to_json_string(list_dictionaries):
"""Returns the JSON string representation of list_dictionaries"""
<|body_1|>
def save_to_file(cls, li... | stack_v2_sparse_classes_75kplus_train_074767 | 2,215 | no_license | [
{
"docstring": "A Class constructor to initialize id",
"name": "__init__",
"signature": "def __init__(self, id=None)"
},
{
"docstring": "Returns the JSON string representation of list_dictionaries",
"name": "to_json_string",
"signature": "def to_json_string(list_dictionaries)"
},
{
... | 6 | stack_v2_sparse_classes_30k_train_047953 | Implement the Python class `Base` described below.
Class description:
The Base class
Method signatures and docstrings:
- def __init__(self, id=None): A Class constructor to initialize id
- def to_json_string(list_dictionaries): Returns the JSON string representation of list_dictionaries
- def save_to_file(cls, list_o... | Implement the Python class `Base` described below.
Class description:
The Base class
Method signatures and docstrings:
- def __init__(self, id=None): A Class constructor to initialize id
- def to_json_string(list_dictionaries): Returns the JSON string representation of list_dictionaries
- def save_to_file(cls, list_o... | 7a75860b151e8dd0dcf987d27c13522980cf5ccb | <|skeleton|>
class Base:
"""The Base class"""
def __init__(self, id=None):
"""A Class constructor to initialize id"""
<|body_0|>
def to_json_string(list_dictionaries):
"""Returns the JSON string representation of list_dictionaries"""
<|body_1|>
def save_to_file(cls, li... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Base:
"""The Base class"""
def __init__(self, id=None):
"""A Class constructor to initialize id"""
if id is not None:
self.id = id
else:
Base.__nb_objects += 1
self.id = Base.__nb_objects
def to_json_string(list_dictionaries):
"""Re... | the_stack_v2_python_sparse | 0x0C-python-almost_a_circle/models/base.py | thenicopixie/holbertonschool-higher_level_programming | train | 0 |
889fc7ca89e5fdbe0c6f7d02c0d38a4f05c54da4 | [
"super(EMB, self).__init__()\nif init_emb is None:\n self.embedding = nn.Embedding(num_embeddings=vocab_size, embedding_dim=embedding_dim, padding_idx=0)\nelse:\n self.embedding = nn.Embedding.from_pretrained(init_emb)",
"mask = Variable((string_lkup > 0).float()).to(device)\nemb = self.embedding(string_lku... | <|body_start_0|>
super(EMB, self).__init__()
if init_emb is None:
self.embedding = nn.Embedding(num_embeddings=vocab_size, embedding_dim=embedding_dim, padding_idx=0)
else:
self.embedding = nn.Embedding.from_pretrained(init_emb)
<|end_body_0|>
<|body_start_1|>
ma... | EMB | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EMB:
def __init__(self, vocab_size, embedding_dim, init_emb=None):
"""param vocab_size: size of vocabulary param emebeding_dim: embedding dimension"""
<|body_0|>
def forward(self, string_lkup):
"""Looks up the embedding for the string lookup integers param string_lku... | stack_v2_sparse_classes_75kplus_train_074768 | 1,017 | no_license | [
{
"docstring": "param vocab_size: size of vocabulary param emebeding_dim: embedding dimension",
"name": "__init__",
"signature": "def __init__(self, vocab_size, embedding_dim, init_emb=None)"
},
{
"docstring": "Looks up the embedding for the string lookup integers param string_lkup: lookup ints ... | 2 | null | Implement the Python class `EMB` described below.
Class description:
Implement the EMB class.
Method signatures and docstrings:
- def __init__(self, vocab_size, embedding_dim, init_emb=None): param vocab_size: size of vocabulary param emebeding_dim: embedding dimension
- def forward(self, string_lkup): Looks up the e... | Implement the Python class `EMB` described below.
Class description:
Implement the EMB class.
Method signatures and docstrings:
- def __init__(self, vocab_size, embedding_dim, init_emb=None): param vocab_size: size of vocabulary param emebeding_dim: embedding dimension
- def forward(self, string_lkup): Looks up the e... | c0b2f83a7d4c0d5fa5effb7584e0e0acc6f877a0 | <|skeleton|>
class EMB:
def __init__(self, vocab_size, embedding_dim, init_emb=None):
"""param vocab_size: size of vocabulary param emebeding_dim: embedding dimension"""
<|body_0|>
def forward(self, string_lkup):
"""Looks up the embedding for the string lookup integers param string_lku... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EMB:
def __init__(self, vocab_size, embedding_dim, init_emb=None):
"""param vocab_size: size of vocabulary param emebeding_dim: embedding dimension"""
super(EMB, self).__init__()
if init_emb is None:
self.embedding = nn.Embedding(num_embeddings=vocab_size, embedding_dim=emb... | the_stack_v2_python_sparse | src/main/base_models/architectures/EMB.py | iesl/institution_hierarchies | train | 3 | |
bff7b017dfa54596a7b68196d6fdf2e44896c215 | [
"super(PendingSponsorshipLevelListView, self).__init__()\nself.project = None\nself.project_slug = None",
"context = super(PendingSponsorshipLevelListView, self).get_context_data(**kwargs)\ncontext['num_sponsorshiplevels'] = self.get_queryset().count()\ncontext['unapproved'] = True\ncontext['project_slug'] = self... | <|body_start_0|>
super(PendingSponsorshipLevelListView, self).__init__()
self.project = None
self.project_slug = None
<|end_body_0|>
<|body_start_1|>
context = super(PendingSponsorshipLevelListView, self).get_context_data(**kwargs)
context['num_sponsorshiplevels'] = self.get_que... | List view for pending Sponsor. | PendingSponsorshipLevelListView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PendingSponsorshipLevelListView:
"""List view for pending Sponsor."""
def __init__(self):
"""We overload __init__ in order to declare self.project and self.project_slug. Both are then defined in self.get_queryset which is the first method called. This means we can then reuse the valu... | stack_v2_sparse_classes_75kplus_train_074769 | 17,162 | no_license | [
{
"docstring": "We overload __init__ in order to declare self.project and self.project_slug. Both are then defined in self.get_queryset which is the first method called. This means we can then reuse the values in self.get_context_data.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_017322 | Implement the Python class `PendingSponsorshipLevelListView` described below.
Class description:
List view for pending Sponsor.
Method signatures and docstrings:
- def __init__(self): We overload __init__ in order to declare self.project and self.project_slug. Both are then defined in self.get_queryset which is the f... | Implement the Python class `PendingSponsorshipLevelListView` described below.
Class description:
List view for pending Sponsor.
Method signatures and docstrings:
- def __init__(self): We overload __init__ in order to declare self.project and self.project_slug. Both are then defined in self.get_queryset which is the f... | ca489c38fdfde29f75c9c1e7f4b4c55d78d91c79 | <|skeleton|>
class PendingSponsorshipLevelListView:
"""List view for pending Sponsor."""
def __init__(self):
"""We overload __init__ in order to declare self.project and self.project_slug. Both are then defined in self.get_queryset which is the first method called. This means we can then reuse the valu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PendingSponsorshipLevelListView:
"""List view for pending Sponsor."""
def __init__(self):
"""We overload __init__ in order to declare self.project and self.project_slug. Both are then defined in self.get_queryset which is the first method called. This means we can then reuse the values in self.ge... | the_stack_v2_python_sparse | django_project/changes/views/sponsorship_level.py | gitter-badger/projecta | train | 0 |
3890bc3de624292f2203e9910ed70a1b0e1cdf3b | [
"super().__init__(*args, **kwargs)\nself.set_fields_from_dict(['dst_key', 'src_key', 'how_merge'])\nself.fields['how_merge'].required = False",
"form_data = super().clean()\nself.store_fields_in_dict([('dst_key', None), ('src_key', None), ('how_merge', None)])\nif self.workflow.has_data_frame:\n if not form_da... | <|body_start_0|>
super().__init__(*args, **kwargs)
self.set_fields_from_dict(['dst_key', 'src_key', 'how_merge'])
self.fields['how_merge'].required = False
<|end_body_0|>
<|body_start_1|>
form_data = super().clean()
self.store_fields_in_dict([('dst_key', None), ('src_key', None)... | Form to request info for the SQL scheduled upload Three blocks of information are requested: Block 1: Name, description, start -- frequency -- stop times Block 2: Parameters for the SQL connection Block 3: Parameters for the merge: Left/Right column + merge method | ScheduleSQLUploadForm | [
"LGPL-2.0-or-later",
"BSD-3-Clause",
"MIT",
"Apache-2.0",
"LGPL-2.1-only",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScheduleSQLUploadForm:
"""Form to request info for the SQL scheduled upload Three blocks of information are requested: Block 1: Name, description, start -- frequency -- stop times Block 2: Parameters for the SQL connection Block 3: Parameters for the merge: Left/Right column + merge method"""
... | stack_v2_sparse_classes_75kplus_train_074770 | 2,781 | permissive | [
{
"docstring": "Initialize all the fields",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Store the fields in the Form Payload",
"name": "clean",
"signature": "def clean(self) -> Dict"
}
] | 2 | stack_v2_sparse_classes_30k_train_026318 | Implement the Python class `ScheduleSQLUploadForm` described below.
Class description:
Form to request info for the SQL scheduled upload Three blocks of information are requested: Block 1: Name, description, start -- frequency -- stop times Block 2: Parameters for the SQL connection Block 3: Parameters for the merge: ... | Implement the Python class `ScheduleSQLUploadForm` described below.
Class description:
Form to request info for the SQL scheduled upload Three blocks of information are requested: Block 1: Name, description, start -- frequency -- stop times Block 2: Parameters for the SQL connection Block 3: Parameters for the merge: ... | c432745dfff932cbe7397100422d49df78f0a882 | <|skeleton|>
class ScheduleSQLUploadForm:
"""Form to request info for the SQL scheduled upload Three blocks of information are requested: Block 1: Name, description, start -- frequency -- stop times Block 2: Parameters for the SQL connection Block 3: Parameters for the merge: Left/Right column + merge method"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScheduleSQLUploadForm:
"""Form to request info for the SQL scheduled upload Three blocks of information are requested: Block 1: Name, description, start -- frequency -- stop times Block 2: Parameters for the SQL connection Block 3: Parameters for the merge: Left/Right column + merge method"""
def __init_... | the_stack_v2_python_sparse | ontask/scheduler/forms/sql.py | abelardopardo/ontask_b | train | 43 |
88c54fa14c81e4d2282030add0daa2df4b68a4a2 | [
"minprice1, minprice2, maxprofit1, maxprofit2 = (10 ** 9, 10 ** 9, 0, 0)\nfor price in prices:\n minprice1 = min(price, minprice1)\n maxprofit1 = max(maxprofit1, price - minprice1)\n minprice2 = min(minprice2, price - maxprofit1)\n maxprofit2 = max(maxprofit2, price - minprice2)\nprint(maxprofit1, maxpr... | <|body_start_0|>
minprice1, minprice2, maxprofit1, maxprofit2 = (10 ** 9, 10 ** 9, 0, 0)
for price in prices:
minprice1 = min(price, minprice1)
maxprofit1 = max(maxprofit1, price - minprice1)
minprice2 = min(minprice2, price - maxprofit1)
maxprofit2 = max(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit1(self, prices: List[int]) -> int:
"""贪心算法， 交易一次和交易两次的区别就在于，第二次买的时候，价格其实考虑用第一次赚的钱取补贴一部分 就是minprice1 是第一次作为买卖的成本，就等于第一次买入的股票价格 maxprofit1 是第一次买卖的收益 而minprice2 作为第二次买卖的成本，此时不代表第二次买入股票的价格，而是第二次买入 股票的价格减去第一次的收益 maxprofit2 则不止是第二次买卖的收益，是两次买卖的总收益。"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_074771 | 5,624 | no_license | [
{
"docstring": "贪心算法， 交易一次和交易两次的区别就在于，第二次买的时候，价格其实考虑用第一次赚的钱取补贴一部分 就是minprice1 是第一次作为买卖的成本，就等于第一次买入的股票价格 maxprofit1 是第一次买卖的收益 而minprice2 作为第二次买卖的成本，此时不代表第二次买入股票的价格，而是第二次买入 股票的价格减去第一次的收益 maxprofit2 则不止是第二次买卖的收益，是两次买卖的总收益。",
"name": "maxProfit1",
"signature": "def maxProfit1(self, prices: List[int]) -> int... | 2 | stack_v2_sparse_classes_30k_train_023021 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit1(self, prices: List[int]) -> int: 贪心算法， 交易一次和交易两次的区别就在于，第二次买的时候，价格其实考虑用第一次赚的钱取补贴一部分 就是minprice1 是第一次作为买卖的成本，就等于第一次买入的股票价格 maxprofit1 是第一次买卖的收益 而minprice2 作为第二次买卖的成本... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit1(self, prices: List[int]) -> int: 贪心算法， 交易一次和交易两次的区别就在于，第二次买的时候，价格其实考虑用第一次赚的钱取补贴一部分 就是minprice1 是第一次作为买卖的成本，就等于第一次买入的股票价格 maxprofit1 是第一次买卖的收益 而minprice2 作为第二次买卖的成本... | 51943e2c2c4ec70c7c1d5b53c9fdf0a719428d7a | <|skeleton|>
class Solution:
def maxProfit1(self, prices: List[int]) -> int:
"""贪心算法， 交易一次和交易两次的区别就在于，第二次买的时候，价格其实考虑用第一次赚的钱取补贴一部分 就是minprice1 是第一次作为买卖的成本，就等于第一次买入的股票价格 maxprofit1 是第一次买卖的收益 而minprice2 作为第二次买卖的成本，此时不代表第二次买入股票的价格，而是第二次买入 股票的价格减去第一次的收益 maxprofit2 则不止是第二次买卖的收益，是两次买卖的总收益。"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProfit1(self, prices: List[int]) -> int:
"""贪心算法， 交易一次和交易两次的区别就在于，第二次买的时候，价格其实考虑用第一次赚的钱取补贴一部分 就是minprice1 是第一次作为买卖的成本，就等于第一次买入的股票价格 maxprofit1 是第一次买卖的收益 而minprice2 作为第二次买卖的成本，此时不代表第二次买入股票的价格，而是第二次买入 股票的价格减去第一次的收益 maxprofit2 则不止是第二次买卖的收益，是两次买卖的总收益。"""
minprice1, minprice2, maxp... | the_stack_v2_python_sparse | LeetCode_practice/DynamicProgramming/0123.BestTimeToBuyAndSellStock_3.py | LeBron-Jian/BasicAlgorithmPractice | train | 13 | |
9f8db057c635cfd71cca0ba84742042284a69128 | [
"if g is None:\n g = get_g(E)\nself.g = g\nself.E = E\nself.n = n",
"if not isinstance(words, list):\n words = [words]\nreturn np.mean([_pmb(w, self.E, self.g, self.n) for w in words])"
] | <|body_start_0|>
if g is None:
g = get_g(E)
self.g = g
self.E = E
self.n = n
<|end_body_0|>
<|body_start_1|>
if not isinstance(words, list):
words = [words]
return np.mean([_pmb(w, self.E, self.g, self.n) for w in words])
<|end_body_1|>
| The class that computes the Percentage of Male Neighbours (PMN) in the top n neighbours for a word. | PMN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PMN:
"""The class that computes the Percentage of Male Neighbours (PMN) in the top n neighbours for a word."""
def __init__(self, E, g=None, n=100):
"""Args: E (WE class object): Word embeddings object. kwargs: g (np.array): Gender direction. n (int): Top `n` neighbours according to ... | stack_v2_sparse_classes_75kplus_train_074772 | 1,538 | permissive | [
{
"docstring": "Args: E (WE class object): Word embeddings object. kwargs: g (np.array): Gender direction. n (int): Top `n` neighbours according to the cosine similarity.",
"name": "__init__",
"signature": "def __init__(self, E, g=None, n=100)"
},
{
"docstring": "Args: words (str or list[str]): ... | 2 | stack_v2_sparse_classes_30k_train_054460 | Implement the Python class `PMN` described below.
Class description:
The class that computes the Percentage of Male Neighbours (PMN) in the top n neighbours for a word.
Method signatures and docstrings:
- def __init__(self, E, g=None, n=100): Args: E (WE class object): Word embeddings object. kwargs: g (np.array): Ge... | Implement the Python class `PMN` described below.
Class description:
The class that computes the Percentage of Male Neighbours (PMN) in the top n neighbours for a word.
Method signatures and docstrings:
- def __init__(self, E, g=None, n=100): Args: E (WE class object): Word embeddings object. kwargs: g (np.array): Ge... | 013a540069ef433d579e4ea2e5f21aa2a3f86815 | <|skeleton|>
class PMN:
"""The class that computes the Percentage of Male Neighbours (PMN) in the top n neighbours for a word."""
def __init__(self, E, g=None, n=100):
"""Args: E (WE class object): Word embeddings object. kwargs: g (np.array): Gender direction. n (int): Top `n` neighbours according to ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PMN:
"""The class that computes the Percentage of Male Neighbours (PMN) in the top n neighbours for a word."""
def __init__(self, E, g=None, n=100):
"""Args: E (WE class object): Word embeddings object. kwargs: g (np.array): Gender direction. n (int): Top `n` neighbours according to the cosine si... | the_stack_v2_python_sparse | fee/metrics/pmn.py | FEE-Fair-Embedding-Engine/FEE | train | 12 |
cf7645321f4a3af446b9a6bb063c5285bf85deb7 | [
"self.poll_me = poll_me\nself.relation_metric = 'expression_vector_similarity'\nself.recorded_values = []",
"node1, node2 = gfunc_edge.nodes\ntry:\n r_val, p_val = sp_stats.pearsonr(node1.data.expression_vector, node2.data.expression_vector)\n return r_val\nexcept AttributeError as err:\n if \"'Bunch' ob... | <|body_start_0|>
self.poll_me = poll_me
self.relation_metric = 'expression_vector_similarity'
self.recorded_values = []
<|end_body_0|>
<|body_start_1|>
node1, node2 = gfunc_edge.nodes
try:
r_val, p_val = sp_stats.pearsonr(node1.data.expression_vector, node2.data.expr... | TODO: doc | ExpressionSimilarity | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExpressionSimilarity:
"""TODO: doc"""
def __init__(self, poll_me=False):
"""TODO: doc"""
<|body_0|>
def _calc_metric(self, gfunc_edge):
"""Does this metric's specific calculations."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.poll_me = p... | stack_v2_sparse_classes_75kplus_train_074773 | 10,990 | no_license | [
{
"docstring": "TODO: doc",
"name": "__init__",
"signature": "def __init__(self, poll_me=False)"
},
{
"docstring": "Does this metric's specific calculations.",
"name": "_calc_metric",
"signature": "def _calc_metric(self, gfunc_edge)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042823 | Implement the Python class `ExpressionSimilarity` described below.
Class description:
TODO: doc
Method signatures and docstrings:
- def __init__(self, poll_me=False): TODO: doc
- def _calc_metric(self, gfunc_edge): Does this metric's specific calculations. | Implement the Python class `ExpressionSimilarity` described below.
Class description:
TODO: doc
Method signatures and docstrings:
- def __init__(self, poll_me=False): TODO: doc
- def _calc_metric(self, gfunc_edge): Does this metric's specific calculations.
<|skeleton|>
class ExpressionSimilarity:
"""TODO: doc"""... | 0a6c27d281ddc5e7f74cb67bca99e8258e58e2fa | <|skeleton|>
class ExpressionSimilarity:
"""TODO: doc"""
def __init__(self, poll_me=False):
"""TODO: doc"""
<|body_0|>
def _calc_metric(self, gfunc_edge):
"""Does this metric's specific calculations."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExpressionSimilarity:
"""TODO: doc"""
def __init__(self, poll_me=False):
"""TODO: doc"""
self.poll_me = poll_me
self.relation_metric = 'expression_vector_similarity'
self.recorded_values = []
def _calc_metric(self, gfunc_edge):
"""Does this metric's specific c... | the_stack_v2_python_sparse | src/gfunc/analysis_classes.py | xguse/gfunc | train | 0 |
bdbb3e95204c2bd3f5ca28ae7fb38a2111782372 | [
"self.pers = persistence\nself.logger = logging.getLogger('app')\nself.cfg = cfg",
"try:\n self.logger.debug('Password Reset attempt %s', user_id)\n password_reset_token = ''\n nosqldb = self.pers.nosql_db\n db_user_record = nosqldb['users'].find_one({'$or': [{'username': user_id}, {'email': user_id}]... | <|body_start_0|>
self.pers = persistence
self.logger = logging.getLogger('app')
self.cfg = cfg
<|end_body_0|>
<|body_start_1|>
try:
self.logger.debug('Password Reset attempt %s', user_id)
password_reset_token = ''
nosqldb = self.pers.nosql_db
... | Web user authentication database helper | PasswordResetDBHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PasswordResetDBHelper:
"""Web user authentication database helper"""
def __init__(self, persistence, cfg):
"""Class initialization"""
<|body_0|>
def create_password_reset_token(self, user_id):
"""Initiate a password reset with a complex token, multi step"""
... | stack_v2_sparse_classes_75kplus_train_074774 | 4,820 | no_license | [
{
"docstring": "Class initialization",
"name": "__init__",
"signature": "def __init__(self, persistence, cfg)"
},
{
"docstring": "Initiate a password reset with a complex token, multi step",
"name": "create_password_reset_token",
"signature": "def create_password_reset_token(self, user_i... | 4 | stack_v2_sparse_classes_30k_train_038680 | Implement the Python class `PasswordResetDBHelper` described below.
Class description:
Web user authentication database helper
Method signatures and docstrings:
- def __init__(self, persistence, cfg): Class initialization
- def create_password_reset_token(self, user_id): Initiate a password reset with a complex token... | Implement the Python class `PasswordResetDBHelper` described below.
Class description:
Web user authentication database helper
Method signatures and docstrings:
- def __init__(self, persistence, cfg): Class initialization
- def create_password_reset_token(self, user_id): Initiate a password reset with a complex token... | 3c774731b054c38a273371450a451c951d73b726 | <|skeleton|>
class PasswordResetDBHelper:
"""Web user authentication database helper"""
def __init__(self, persistence, cfg):
"""Class initialization"""
<|body_0|>
def create_password_reset_token(self, user_id):
"""Initiate a password reset with a complex token, multi step"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PasswordResetDBHelper:
"""Web user authentication database helper"""
def __init__(self, persistence, cfg):
"""Class initialization"""
self.pers = persistence
self.logger = logging.getLogger('app')
self.cfg = cfg
def create_password_reset_token(self, user_id):
... | the_stack_v2_python_sparse | genesis/passwordresetdbhelper.py | wbmartin/exodus-app | train | 0 |
58483fd26ded2eef48506baf01f41c8d30f8086e | [
"super().__init__(env_spec)\nself.state_des = state_des\nself.limit_rad = 0.5236\nself.kp_servo = 14.0\nself.Kp, self.Kd = (None, None)\nself.init_param(kp, kd)",
"th_x, th_y, x, y, _, _, x_dot, y_dot = obs\nerr = to.tensor([self.state_des[0] - x, self.state_des[1] - y])\nerr_dot = to.tensor([0.0 - x_dot, 0.0 - y... | <|body_start_0|>
super().__init__(env_spec)
self.state_des = state_des
self.limit_rad = 0.5236
self.kp_servo = 14.0
self.Kp, self.Kd = (None, None)
self.init_param(kp, kd)
<|end_body_0|>
<|body_start_1|>
th_x, th_y, x, y, _, _, x_dot, y_dot = obs
err = to... | PD-controller for the Quanser Ball Balancer. The only but significant difference of this controller to the other PD controller is the clipping of the actions. .. note:: This class's desired state specification deviates from the Pyrado policies which interact with a `Task`. | QBallBalancerPDCtrl | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QBallBalancerPDCtrl:
"""PD-controller for the Quanser Ball Balancer. The only but significant difference of this controller to the other PD controller is the clipping of the actions. .. note:: This class's desired state specification deviates from the Pyrado policies which interact with a `Task`.... | stack_v2_sparse_classes_75kplus_train_074775 | 25,612 | permissive | [
{
"docstring": "Constructor :param env_spec: environment specification :param state_des: tensor of desired x and y ball position [m] :param kp: 2x2 tensor of constant controller feedback coefficients for error [V/m] :param kd: 2x2 tensor of constant controller feedback coefficients for error time derivative [Vs... | 4 | stack_v2_sparse_classes_30k_train_011813 | Implement the Python class `QBallBalancerPDCtrl` described below.
Class description:
PD-controller for the Quanser Ball Balancer. The only but significant difference of this controller to the other PD controller is the clipping of the actions. .. note:: This class's desired state specification deviates from the Pyrado... | Implement the Python class `QBallBalancerPDCtrl` described below.
Class description:
PD-controller for the Quanser Ball Balancer. The only but significant difference of this controller to the other PD controller is the clipping of the actions. .. note:: This class's desired state specification deviates from the Pyrado... | a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5 | <|skeleton|>
class QBallBalancerPDCtrl:
"""PD-controller for the Quanser Ball Balancer. The only but significant difference of this controller to the other PD controller is the clipping of the actions. .. note:: This class's desired state specification deviates from the Pyrado policies which interact with a `Task`.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QBallBalancerPDCtrl:
"""PD-controller for the Quanser Ball Balancer. The only but significant difference of this controller to the other PD controller is the clipping of the actions. .. note:: This class's desired state specification deviates from the Pyrado policies which interact with a `Task`."""
def ... | the_stack_v2_python_sparse | Pyrado/pyrado/policies/environment_specific.py | jacarvalho/SimuRLacra | train | 0 |
d8b4ee27096f2cfc4517ccab4ba3bd0d62436d73 | [
"if use_filemanager is None:\n super().__init__()\nelse:\n super().__init__(use_filemanager)\nself.prefix = prefix",
"for key in data_dict:\n with open(self.get_path(f'{self.prefix}_{key}.npy'), 'wb') as file:\n np.save(file, data_dict[key].values)"
] | <|body_start_0|>
if use_filemanager is None:
super().__init__()
else:
super().__init__(use_filemanager)
self.prefix = prefix
<|end_body_0|>
<|body_start_1|>
for key in data_dict:
with open(self.get_path(f'{self.prefix}_{key}.npy'), 'wb') as file:
... | Callback to save the data as npy file. | NPYCallback | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NPYCallback:
"""Callback to save the data as npy file."""
def __init__(self, prefix: str, use_filemanager: Optional[bool]=None):
"""Initialise NPYCallback given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the stored file. :type prefix: str :param us... | stack_v2_sparse_classes_75kplus_train_074776 | 1,324 | permissive | [
{
"docstring": "Initialise NPYCallback given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the stored file. :type prefix: str :param use_filemanager: Flag to denote if the filemanager of the pipeline should be used. :type use_filemanager: Optional[bool]",
"name": "__init__",... | 2 | stack_v2_sparse_classes_30k_train_017224 | Implement the Python class `NPYCallback` described below.
Class description:
Callback to save the data as npy file.
Method signatures and docstrings:
- def __init__(self, prefix: str, use_filemanager: Optional[bool]=None): Initialise NPYCallback given a filename and optional use_filemanager flag. :param prefix: Prefi... | Implement the Python class `NPYCallback` described below.
Class description:
Callback to save the data as npy file.
Method signatures and docstrings:
- def __init__(self, prefix: str, use_filemanager: Optional[bool]=None): Initialise NPYCallback given a filename and optional use_filemanager flag. :param prefix: Prefi... | af956f8b1cedf87366259b6010a9f73e6daf5522 | <|skeleton|>
class NPYCallback:
"""Callback to save the data as npy file."""
def __init__(self, prefix: str, use_filemanager: Optional[bool]=None):
"""Initialise NPYCallback given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the stored file. :type prefix: str :param us... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NPYCallback:
"""Callback to save the data as npy file."""
def __init__(self, prefix: str, use_filemanager: Optional[bool]=None):
"""Initialise NPYCallback given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the stored file. :type prefix: str :param use_filemanager... | the_stack_v2_python_sparse | pywatts/callbacks/npy_callback.py | KIT-IAI/pyWATTS | train | 47 |
b815d71043a889250f254485da6d8440a9605ffe | [
"if not os.path.isfile(testbed_file):\n raise ValueError('Testbed file {} does not exist.'.format(testbed_file))\nif testbed_pattern:\n testbed_pattern = re.compile(testbed_pattern)\nwith open(testbed_file, 'r') as f:\n raw_testbeds = yaml.safe_load(f)\ntestbeds = {}\nfor raw_testbed in raw_testbeds:\n ... | <|body_start_0|>
if not os.path.isfile(testbed_file):
raise ValueError('Testbed file {} does not exist.'.format(testbed_file))
if testbed_pattern:
testbed_pattern = re.compile(testbed_pattern)
with open(testbed_file, 'r') as f:
raw_testbeds = yaml.safe_load(f)... | Data model that represents a testbed object. | TestBed | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestBed:
"""Data model that represents a testbed object."""
def from_file(cls, testbed_file='testbed.yaml', testbed_pattern=None, hosts=None):
"""Load all testbed objects from YAML file. Args: testbed_file (str): Path to testbed file. testbed_pattern (str): Regex pattern to filter te... | stack_v2_sparse_classes_75kplus_train_074777 | 3,400 | permissive | [
{
"docstring": "Load all testbed objects from YAML file. Args: testbed_file (str): Path to testbed file. testbed_pattern (str): Regex pattern to filter testbeds. hosts (AnsibleHosts): AnsibleHosts object that contains all hosts in the testbed. Returns: dict: Testbed name to testbed object mapping.",
"name":... | 2 | stack_v2_sparse_classes_30k_train_047823 | Implement the Python class `TestBed` described below.
Class description:
Data model that represents a testbed object.
Method signatures and docstrings:
- def from_file(cls, testbed_file='testbed.yaml', testbed_pattern=None, hosts=None): Load all testbed objects from YAML file. Args: testbed_file (str): Path to testbe... | Implement the Python class `TestBed` described below.
Class description:
Data model that represents a testbed object.
Method signatures and docstrings:
- def from_file(cls, testbed_file='testbed.yaml', testbed_pattern=None, hosts=None): Load all testbed objects from YAML file. Args: testbed_file (str): Path to testbe... | a86f0e5b1742d01b8d8a28a537f79bf608955695 | <|skeleton|>
class TestBed:
"""Data model that represents a testbed object."""
def from_file(cls, testbed_file='testbed.yaml', testbed_pattern=None, hosts=None):
"""Load all testbed objects from YAML file. Args: testbed_file (str): Path to testbed file. testbed_pattern (str): Regex pattern to filter te... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestBed:
"""Data model that represents a testbed object."""
def from_file(cls, testbed_file='testbed.yaml', testbed_pattern=None, hosts=None):
"""Load all testbed objects from YAML file. Args: testbed_file (str): Path to testbed file. testbed_pattern (str): Regex pattern to filter testbeds. hosts... | the_stack_v2_python_sparse | ansible/devutil/testbed.py | ramakristipati/sonic-mgmt | train | 2 |
1d764f5a078cf930a51450c5a552033c67aa3a1d | [
"self.sensorname = 'MTK3339'\nself.valname = 'Location'\nglobal gpsc\ntry:\n gpsc = GpsController.GpsController()\n gpsc.start()\nexcept Exception as e:\n print('Unable to start GpsController')\n print('Exception:', e)\n raise",
"global gpsc\nif gpsc.fix.speed > 1.0:\n return (gpsc.fix.latitude,... | <|body_start_0|>
self.sensorname = 'MTK3339'
self.valname = 'Location'
global gpsc
try:
gpsc = GpsController.GpsController()
gpsc.start()
except Exception as e:
print('Unable to start GpsController')
print('Exception:', e)
... | serial_gps | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class serial_gps:
def __init__(self, data):
"""Initialise GPS sensor class. Initialise the serial_gps sensor class using parameters passed in 'data'. Args: self: self. data: A dict containing the parameters to be used during setup."""
<|body_0|>
def getval(self):
"""Get th... | stack_v2_sparse_classes_75kplus_train_074778 | 2,032 | permissive | [
{
"docstring": "Initialise GPS sensor class. Initialise the serial_gps sensor class using parameters passed in 'data'. Args: self: self. data: A dict containing the parameters to be used during setup.",
"name": "__init__",
"signature": "def __init__(self, data)"
},
{
"docstring": "Get the curren... | 3 | stack_v2_sparse_classes_30k_train_004373 | Implement the Python class `serial_gps` described below.
Class description:
Implement the serial_gps class.
Method signatures and docstrings:
- def __init__(self, data): Initialise GPS sensor class. Initialise the serial_gps sensor class using parameters passed in 'data'. Args: self: self. data: A dict containing the... | Implement the Python class `serial_gps` described below.
Class description:
Implement the serial_gps class.
Method signatures and docstrings:
- def __init__(self, data): Initialise GPS sensor class. Initialise the serial_gps sensor class using parameters passed in 'data'. Args: self: self. data: A dict containing the... | 1f05ea0200d76bd00e0730132d1f5f6e2888a761 | <|skeleton|>
class serial_gps:
def __init__(self, data):
"""Initialise GPS sensor class. Initialise the serial_gps sensor class using parameters passed in 'data'. Args: self: self. data: A dict containing the parameters to be used during setup."""
<|body_0|>
def getval(self):
"""Get th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class serial_gps:
def __init__(self, data):
"""Initialise GPS sensor class. Initialise the serial_gps sensor class using parameters passed in 'data'. Args: self: self. data: A dict containing the parameters to be used during setup."""
self.sensorname = 'MTK3339'
self.valname = 'Location'
... | the_stack_v2_python_sparse | sensors/serial_gps.py | haydnw/AirPi | train | 31 | |
d20c832b13b8556560575c4ff64d23a29a398626 | [
"self.to = to\nself.application_id = application_id\nself.scope = scope\nself.expiration_time_in_minutes = expiration_time_in_minutes\nself.code = code",
"if dictionary is None:\n return None\nto = dictionary.get('to')\napplication_id = dictionary.get('applicationId')\nexpiration_time_in_minutes = dictionary.g... | <|body_start_0|>
self.to = to
self.application_id = application_id
self.scope = scope
self.expiration_time_in_minutes = expiration_time_in_minutes
self.code = code
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
to = dictionary.get(... | Implementation of the 'TwoFactorVerifyRequestSchema' model. TODO: type model description here. Attributes: to (string): The phone number to send the 2fa code to. application_id (string): The application unique ID, obtained from Bandwidth. scope (string): An optional field to denote what scope or action the 2fa code is ... | TwoFactorVerifyRequestSchema | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TwoFactorVerifyRequestSchema:
"""Implementation of the 'TwoFactorVerifyRequestSchema' model. TODO: type model description here. Attributes: to (string): The phone number to send the 2fa code to. application_id (string): The application unique ID, obtained from Bandwidth. scope (string): An option... | stack_v2_sparse_classes_75kplus_train_074779 | 2,920 | permissive | [
{
"docstring": "Constructor for the TwoFactorVerifyRequestSchema class",
"name": "__init__",
"signature": "def __init__(self, to=None, application_id=None, expiration_time_in_minutes=None, code=None, scope=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictio... | 2 | stack_v2_sparse_classes_30k_val_003015 | Implement the Python class `TwoFactorVerifyRequestSchema` described below.
Class description:
Implementation of the 'TwoFactorVerifyRequestSchema' model. TODO: type model description here. Attributes: to (string): The phone number to send the 2fa code to. application_id (string): The application unique ID, obtained fr... | Implement the Python class `TwoFactorVerifyRequestSchema` described below.
Class description:
Implementation of the 'TwoFactorVerifyRequestSchema' model. TODO: type model description here. Attributes: to (string): The phone number to send the 2fa code to. application_id (string): The application unique ID, obtained fr... | 447df3cc8cb7acaf3361d842630c432a9c31ce6e | <|skeleton|>
class TwoFactorVerifyRequestSchema:
"""Implementation of the 'TwoFactorVerifyRequestSchema' model. TODO: type model description here. Attributes: to (string): The phone number to send the 2fa code to. application_id (string): The application unique ID, obtained from Bandwidth. scope (string): An option... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TwoFactorVerifyRequestSchema:
"""Implementation of the 'TwoFactorVerifyRequestSchema' model. TODO: type model description here. Attributes: to (string): The phone number to send the 2fa code to. application_id (string): The application unique ID, obtained from Bandwidth. scope (string): An optional field to d... | the_stack_v2_python_sparse | bandwidth/multifactorauth/models/two_factor_verify_request_schema.py | Bandwidth/python-sdk | train | 10 |
f62546fb6ca079571f40f83fb70b31a843a736e3 | [
"user_filename = os.path.realpath(user_filename)\nif not os.path.isfile(user_filename):\n raise FileNotFoundError('file does not exist: {}'.format(user_filename))\nwith open(user_filename) as f:\n data = f.read().strip()\nuser_ops = self._simple_string_match(data)\nreturn user_ops",
"processed_user_text = u... | <|body_start_0|>
user_filename = os.path.realpath(user_filename)
if not os.path.isfile(user_filename):
raise FileNotFoundError('file does not exist: {}'.format(user_filename))
with open(user_filename) as f:
data = f.read().strip()
user_ops = self._simple_string_ma... | A simple parser that works by string matching: Code uses an op if it is found anywhere in the text. | SimpleParser | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license",
"MPL-1.0",
"OpenSSL",
"LGPL-3.0-only",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-3-Clause-Open-MPI",
"MIT",
"MPL-2.0-no-copyleft-exception",
"NTP",
"BSD-3-Clause",
"GPL-1.0-or-later",
"0BSD",
"MPL-2.0",
"LicenseRef-scancode-f... | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleParser:
"""A simple parser that works by string matching: Code uses an op if it is found anywhere in the text."""
def parse(self, user_filename):
"""Find and return ops in the user file. :param user_filename: filename of user code :return: a list of ops present in the file"""
... | stack_v2_sparse_classes_75kplus_train_074780 | 2,666 | permissive | [
{
"docstring": "Find and return ops in the user file. :param user_filename: filename of user code :return: a list of ops present in the file",
"name": "parse",
"signature": "def parse(self, user_filename)"
},
{
"docstring": "Find and return ops in the user code (provided as a string). :param use... | 2 | stack_v2_sparse_classes_30k_train_040492 | Implement the Python class `SimpleParser` described below.
Class description:
A simple parser that works by string matching: Code uses an op if it is found anywhere in the text.
Method signatures and docstrings:
- def parse(self, user_filename): Find and return ops in the user file. :param user_filename: filename of ... | Implement the Python class `SimpleParser` described below.
Class description:
A simple parser that works by string matching: Code uses an op if it is found anywhere in the text.
Method signatures and docstrings:
- def parse(self, user_filename): Find and return ops in the user file. :param user_filename: filename of ... | 54acb15d435533c815ee1bd9f6dc0b56b4d4cf83 | <|skeleton|>
class SimpleParser:
"""A simple parser that works by string matching: Code uses an op if it is found anywhere in the text."""
def parse(self, user_filename):
"""Find and return ops in the user file. :param user_filename: filename of user code :return: a list of ops present in the file"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimpleParser:
"""A simple parser that works by string matching: Code uses an op if it is found anywhere in the text."""
def parse(self, user_filename):
"""Find and return ops in the user file. :param user_filename: filename of user code :return: a list of ops present in the file"""
user_f... | the_stack_v2_python_sparse | mindspore/lite/tools/dataset/cropper/parser.py | mindspore-ai/mindspore | train | 4,178 |
25fde73b55ae5d8b870bc3212ad0613fe0f99a8f | [
"import collections\nm = collections.defaultdict(int)\nfor num in nums:\n m[num] += 1\n if m[num] > 1:\n return num\nreturn -1",
"i = 0\nwhile i < len(nums):\n if nums[i] == i:\n i += 1\n continue\n if nums[nums[i]] == nums[i]:\n return nums[i]\n nums[nums[i]], nums[i] =... | <|body_start_0|>
import collections
m = collections.defaultdict(int)
for num in nums:
m[num] += 1
if m[num] > 1:
return num
return -1
<|end_body_0|>
<|body_start_1|>
i = 0
while i < len(nums):
if nums[i] == i:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findRepeatNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findRepeatNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
import collections
m = coll... | stack_v2_sparse_classes_75kplus_train_074781 | 964 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findRepeatNumber",
"signature": "def findRepeatNumber(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findRepeatNumber",
"signature": "def findRepeatNumber(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005167 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findRepeatNumber(self, nums): :type nums: List[int] :rtype: int
- def findRepeatNumber(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findRepeatNumber(self, nums): :type nums: List[int] :rtype: int
- def findRepeatNumber(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def f... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def findRepeatNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findRepeatNumber(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findRepeatNumber(self, nums):
""":type nums: List[int] :rtype: int"""
import collections
m = collections.defaultdict(int)
for num in nums:
m[num] += 1
if m[num] > 1:
return num
return -1
def findRepeatNumber(sel... | the_stack_v2_python_sparse | 剑指 Offer 03. 数组中重复的数字.py | yangyuxiang1996/leetcode | train | 0 | |
ae2442c4d6ad0fb664be80d134e8bc7feeee63a7 | [
"if decay_time <= datetime.timedelta(0):\n raise ValueError('decay_time must have positive duration')\nself.decay_time = decay_time\nself.decay_factor = decay_factor",
"timestamp, x = value\nif now is None:\n now = datetime.datetime.utcnow()\ndelta = now - timestamp\nif delta < datetime.timedelta(seconds=0)... | <|body_start_0|>
if decay_time <= datetime.timedelta(0):
raise ValueError('decay_time must have positive duration')
self.decay_time = decay_time
self.decay_factor = decay_factor
<|end_body_0|>
<|body_start_1|>
timestamp, x = value
if now is None:
now = da... | TimeDecay class. Helps to update counters that require a time decay | TimeDecay | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TimeDecay:
"""TimeDecay class. Helps to update counters that require a time decay"""
def __init__(self, decay_time, decay_factor=2.0):
"""decay_time is timedelta"""
<|body_0|>
def update_value(self, value, now=None):
"""Computes the updated value for the given ha... | stack_v2_sparse_classes_75kplus_train_074782 | 1,847 | permissive | [
{
"docstring": "decay_time is timedelta",
"name": "__init__",
"signature": "def __init__(self, decay_time, decay_factor=2.0)"
},
{
"docstring": "Computes the updated value for the given half-life. Args: value (tuple(datetime.datetime, numeric_type)): tuple with the numeric value we wish to updat... | 2 | stack_v2_sparse_classes_30k_train_012735 | Implement the Python class `TimeDecay` described below.
Class description:
TimeDecay class. Helps to update counters that require a time decay
Method signatures and docstrings:
- def __init__(self, decay_time, decay_factor=2.0): decay_time is timedelta
- def update_value(self, value, now=None): Computes the updated v... | Implement the Python class `TimeDecay` described below.
Class description:
TimeDecay class. Helps to update counters that require a time decay
Method signatures and docstrings:
- def __init__(self, decay_time, decay_factor=2.0): decay_time is timedelta
- def update_value(self, value, now=None): Computes the updated v... | 70280110ec342a6f6db1c102e96756fcc3c3c01b | <|skeleton|>
class TimeDecay:
"""TimeDecay class. Helps to update counters that require a time decay"""
def __init__(self, decay_time, decay_factor=2.0):
"""decay_time is timedelta"""
<|body_0|>
def update_value(self, value, now=None):
"""Computes the updated value for the given ha... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TimeDecay:
"""TimeDecay class. Helps to update counters that require a time decay"""
def __init__(self, decay_time, decay_factor=2.0):
"""decay_time is timedelta"""
if decay_time <= datetime.timedelta(0):
raise ValueError('decay_time must have positive duration')
self.... | the_stack_v2_python_sparse | pylib/util/time_decay.py | room77/py77 | train | 0 |
7b0847d9aad677cc871f5d2b890469a2f52ae1c8 | [
"logger.debug('cleaned_data %s' % self.cleaned_data)\nif self.files:\n self.key = Keypair(string=self.files['key_file'].read())\n self.cert = GID(string=self.files['cert_file'].read())\n cert_pubkey = self.cert.get_pubkey().get_pubkey_string()\n if cert_pubkey != self.key.get_pubkey_string():\n r... | <|body_start_0|>
logger.debug('cleaned_data %s' % self.cleaned_data)
if self.files:
self.key = Keypair(string=self.files['key_file'].read())
self.cert = GID(string=self.files['cert_file'].read())
cert_pubkey = self.cert.get_pubkey().get_pubkey_string()
if ... | Form to upload a certificate and its corresponding key. | UploadCertForm | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UploadCertForm:
"""Form to upload a certificate and its corresponding key."""
def clean(self):
"""Check that the cert file is signed by the key file and is trusted."""
<|body_0|>
def save(self, user):
"""Write the key and cert into files. @param user: the user to... | stack_v2_sparse_classes_75kplus_train_074783 | 6,630 | permissive | [
{
"docstring": "Check that the cert file is signed by the key file and is trusted.",
"name": "clean",
"signature": "def clean(self)"
},
{
"docstring": "Write the key and cert into files. @param user: the user to save the cert and key for. @type user: C{django.contrib.auth.models.User}",
"nam... | 2 | stack_v2_sparse_classes_30k_train_017927 | Implement the Python class `UploadCertForm` described below.
Class description:
Form to upload a certificate and its corresponding key.
Method signatures and docstrings:
- def clean(self): Check that the cert file is signed by the key file and is trusted.
- def save(self, user): Write the key and cert into files. @pa... | Implement the Python class `UploadCertForm` described below.
Class description:
Form to upload a certificate and its corresponding key.
Method signatures and docstrings:
- def clean(self): Check that the cert file is signed by the key file and is trusted.
- def save(self, user): Write the key and cert into files. @pa... | 059ed2b3308bda2af5e1942dc9967e6573dd6a53 | <|skeleton|>
class UploadCertForm:
"""Form to upload a certificate and its corresponding key."""
def clean(self):
"""Check that the cert file is signed by the key file and is trusted."""
<|body_0|>
def save(self, user):
"""Write the key and cert into files. @param user: the user to... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UploadCertForm:
"""Form to upload a certificate and its corresponding key."""
def clean(self):
"""Check that the cert file is signed by the key file and is trusted."""
logger.debug('cleaned_data %s' % self.cleaned_data)
if self.files:
self.key = Keypair(string=self.fil... | the_stack_v2_python_sparse | expedient/src/python/expedient/clearinghouse/geni/forms.py | dana-i2cat/felix | train | 4 |
70a48bbff8040b7574bf27c5d3a333ad7490989e | [
"exc_infos = []\nfor _ in xrange(num):\n exc_infos.extend(failures_lib.CreateExceptInfo(cls(message), traceback))\nreturn exc_infos",
"self.assertTrue(failures_lib.CompoundFailure().HasEmptyList())\nexc_infos = self._CreateExceptInfos(KeyError)\nself.assertFalse(failures_lib.CompoundFailure(exc_infos=exc_infos... | <|body_start_0|>
exc_infos = []
for _ in xrange(num):
exc_infos.extend(failures_lib.CreateExceptInfo(cls(message), traceback))
return exc_infos
<|end_body_0|>
<|body_start_1|>
self.assertTrue(failures_lib.CompoundFailure().HasEmptyList())
exc_infos = self._CreateExce... | Test the CompoundFailure class. | CompoundFailureTest | [
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CompoundFailureTest:
"""Test the CompoundFailure class."""
def _CreateExceptInfos(self, cls, message='', traceback='', num=1):
"""A helper function to create a list of ExceptInfo objects."""
<|body_0|>
def testHasEmptyList(self):
"""Tests the HasEmptyList method.... | stack_v2_sparse_classes_75kplus_train_074784 | 9,373 | permissive | [
{
"docstring": "A helper function to create a list of ExceptInfo objects.",
"name": "_CreateExceptInfos",
"signature": "def _CreateExceptInfos(self, cls, message='', traceback='', num=1)"
},
{
"docstring": "Tests the HasEmptyList method.",
"name": "testHasEmptyList",
"signature": "def te... | 6 | stack_v2_sparse_classes_30k_train_032850 | Implement the Python class `CompoundFailureTest` described below.
Class description:
Test the CompoundFailure class.
Method signatures and docstrings:
- def _CreateExceptInfos(self, cls, message='', traceback='', num=1): A helper function to create a list of ExceptInfo objects.
- def testHasEmptyList(self): Tests the... | Implement the Python class `CompoundFailureTest` described below.
Class description:
Test the CompoundFailure class.
Method signatures and docstrings:
- def _CreateExceptInfos(self, cls, message='', traceback='', num=1): A helper function to create a list of ExceptInfo objects.
- def testHasEmptyList(self): Tests the... | 72a05af97787001756bae2511b7985e61498c965 | <|skeleton|>
class CompoundFailureTest:
"""Test the CompoundFailure class."""
def _CreateExceptInfos(self, cls, message='', traceback='', num=1):
"""A helper function to create a list of ExceptInfo objects."""
<|body_0|>
def testHasEmptyList(self):
"""Tests the HasEmptyList method.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CompoundFailureTest:
"""Test the CompoundFailure class."""
def _CreateExceptInfos(self, cls, message='', traceback='', num=1):
"""A helper function to create a list of ExceptInfo objects."""
exc_infos = []
for _ in xrange(num):
exc_infos.extend(failures_lib.CreateExcep... | the_stack_v2_python_sparse | third_party/chromite/cbuildbot/failures_lib_unittest.py | metux/chromium-suckless | train | 5 |
2a86d0d7dec4148d31106296884a90efc5efcffd | [
"super().__init__(type='slowdown')\nself.img = pygame.image.load(f'images/{image}.png')\nself.size = size if size else self.img.get_size()\nself.pos = pos.copy()\nself.drawn = False\nself.timer = -10000\nself.clock = Clock()",
"if not self.drawn:\n control.window.blit(self.img, self.pos)\n self.drawn = True... | <|body_start_0|>
super().__init__(type='slowdown')
self.img = pygame.image.load(f'images/{image}.png')
self.size = size if size else self.img.get_size()
self.pos = pos.copy()
self.drawn = False
self.timer = -10000
self.clock = Clock()
<|end_body_0|>
<|body_start_... | Класс для объектов типа "замедлялка" Конструктор slowdown : str - название изобращения для объекта pos : List[2] - позиция на сцене size : Tuple[2]|None - размер текстурки | Slowdown | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Slowdown:
"""Класс для объектов типа "замедлялка" Конструктор slowdown : str - название изобращения для объекта pos : List[2] - позиция на сцене size : Tuple[2]|None - размер текстурки"""
def __init__(self, image='slowdown', pos=[0, 0], size=None):
"""Конструктор"""
<|body_0|... | stack_v2_sparse_classes_75kplus_train_074785 | 1,743 | no_license | [
{
"docstring": "Конструктор",
"name": "__init__",
"signature": "def __init__(self, image='slowdown', pos=[0, 0], size=None)"
},
{
"docstring": "Отрисовка и обратный отсчет",
"name": "__call__",
"signature": "def __call__(self, control)"
},
{
"docstring": "Удаление со сцены",
... | 3 | stack_v2_sparse_classes_30k_train_024920 | Implement the Python class `Slowdown` described below.
Class description:
Класс для объектов типа "замедлялка" Конструктор slowdown : str - название изобращения для объекта pos : List[2] - позиция на сцене size : Tuple[2]|None - размер текстурки
Method signatures and docstrings:
- def __init__(self, image='slowdown',... | Implement the Python class `Slowdown` described below.
Class description:
Класс для объектов типа "замедлялка" Конструктор slowdown : str - название изобращения для объекта pos : List[2] - позиция на сцене size : Tuple[2]|None - размер текстурки
Method signatures and docstrings:
- def __init__(self, image='slowdown',... | 65d7aac64bcffec90f4d2976c9d8f67a9b21e41c | <|skeleton|>
class Slowdown:
"""Класс для объектов типа "замедлялка" Конструктор slowdown : str - название изобращения для объекта pos : List[2] - позиция на сцене size : Tuple[2]|None - размер текстурки"""
def __init__(self, image='slowdown', pos=[0, 0], size=None):
"""Конструктор"""
<|body_0|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Slowdown:
"""Класс для объектов типа "замедлялка" Конструктор slowdown : str - название изобращения для объекта pos : List[2] - позиция на сцене size : Tuple[2]|None - размер текстурки"""
def __init__(self, image='slowdown', pos=[0, 0], size=None):
"""Конструктор"""
super().__init__(type=... | the_stack_v2_python_sparse | slowdown.py | asakhar/snake_programing_game | train | 0 |
35ddd38d6826e00069c13ed51297f8659f19ee58 | [
"primary_controller = self.env.primary_controller\nprimary_node = devops_env.get_node_by_fuel_node(primary_controller)\nself.env.warm_shutdown_nodes([primary_node])\nname = 'Test_{}'.format(suffix[:6])\ncmd = 'image-create --name {name} --container-format bare --disk-format qcow2 --file {file}'.format(name=name, fi... | <|body_start_0|>
primary_controller = self.env.primary_controller
primary_node = devops_env.get_node_by_fuel_node(primary_controller)
self.env.warm_shutdown_nodes([primary_node])
name = 'Test_{}'.format(suffix[:6])
cmd = 'image-create --name {name} --container-format bare --disk-... | TestGlanceHA | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestGlanceHA:
def test_shutdown_primary_controller(self, glance, image_file, suffix, devops_env, timeout=60):
"""Check creating image after shutdown primary controller Steps: 1. Shutdown primary controller 2. Create image from `image_file` 3. Check that image is present in list and image... | stack_v2_sparse_classes_75kplus_train_074786 | 7,990 | no_license | [
{
"docstring": "Check creating image after shutdown primary controller Steps: 1. Shutdown primary controller 2. Create image from `image_file` 3. Check that image is present in list and image status is `active` 4. Delete created image 5. Check that image deleted",
"name": "test_shutdown_primary_controller",... | 3 | stack_v2_sparse_classes_30k_train_028705 | Implement the Python class `TestGlanceHA` described below.
Class description:
Implement the TestGlanceHA class.
Method signatures and docstrings:
- def test_shutdown_primary_controller(self, glance, image_file, suffix, devops_env, timeout=60): Check creating image after shutdown primary controller Steps: 1. Shutdown ... | Implement the Python class `TestGlanceHA` described below.
Class description:
Implement the TestGlanceHA class.
Method signatures and docstrings:
- def test_shutdown_primary_controller(self, glance, image_file, suffix, devops_env, timeout=60): Check creating image after shutdown primary controller Steps: 1. Shutdown ... | 8aced2855b78b5f123195d188c80e27b43888a2e | <|skeleton|>
class TestGlanceHA:
def test_shutdown_primary_controller(self, glance, image_file, suffix, devops_env, timeout=60):
"""Check creating image after shutdown primary controller Steps: 1. Shutdown primary controller 2. Create image from `image_file` 3. Check that image is present in list and image... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestGlanceHA:
def test_shutdown_primary_controller(self, glance, image_file, suffix, devops_env, timeout=60):
"""Check creating image after shutdown primary controller Steps: 1. Shutdown primary controller 2. Create image from `image_file` 3. Check that image is present in list and image status is `ac... | the_stack_v2_python_sparse | mos_tests/glance/ha_test.py | Mirantis/mos-integration-tests | train | 16 | |
d631e55c0a9370ff246000dc6c4859c985c9b2d3 | [
"self.model = model\nself.epsilon = epsilon\nself.k = k\nself.a = a\nself.rand = random_start\nif loss_func == 'xent':\n loss = model.xent\nelif loss_func == 'cw':\n label_mask = tf.one_hot(model.y_input, 2, on_value=1.0, off_value=0.0, dtype=tf.float32)\n correct_logit = tf.reduce_sum(label_mask * model.p... | <|body_start_0|>
self.model = model
self.epsilon = epsilon
self.k = k
self.a = a
self.rand = random_start
if loss_func == 'xent':
loss = model.xent
elif loss_func == 'cw':
label_mask = tf.one_hot(model.y_input, 2, on_value=1.0, off_value=0.... | LinfPGDAttack | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinfPGDAttack:
def __init__(self, model, epsilon, k, a, random_start, loss_func):
"""Attack parameter initialization. The attack performs k steps of size a, while always staying within epsilon from the initial point."""
<|body_0|>
def perturb(self, x_nat, reference, y, sess)... | stack_v2_sparse_classes_75kplus_train_074787 | 8,800 | no_license | [
{
"docstring": "Attack parameter initialization. The attack performs k steps of size a, while always staying within epsilon from the initial point.",
"name": "__init__",
"signature": "def __init__(self, model, epsilon, k, a, random_start, loss_func)"
},
{
"docstring": "Given a set of examples (x... | 2 | stack_v2_sparse_classes_30k_train_046179 | Implement the Python class `LinfPGDAttack` described below.
Class description:
Implement the LinfPGDAttack class.
Method signatures and docstrings:
- def __init__(self, model, epsilon, k, a, random_start, loss_func): Attack parameter initialization. The attack performs k steps of size a, while always staying within e... | Implement the Python class `LinfPGDAttack` described below.
Class description:
Implement the LinfPGDAttack class.
Method signatures and docstrings:
- def __init__(self, model, epsilon, k, a, random_start, loss_func): Attack parameter initialization. The attack performs k steps of size a, while always staying within e... | 56bcace33b5369be2f9c0d6cae790e3dc2981a7a | <|skeleton|>
class LinfPGDAttack:
def __init__(self, model, epsilon, k, a, random_start, loss_func):
"""Attack parameter initialization. The attack performs k steps of size a, while always staying within epsilon from the initial point."""
<|body_0|>
def perturb(self, x_nat, reference, y, sess)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LinfPGDAttack:
def __init__(self, model, epsilon, k, a, random_start, loss_func):
"""Attack parameter initialization. The attack performs k steps of size a, while always staying within epsilon from the initial point."""
self.model = model
self.epsilon = epsilon
self.k = k
... | the_stack_v2_python_sparse | adv_generate/facenet+resgn_pgd_attack.py | Liu-1120/adv-alleviation-for-face | train | 0 | |
bca6a453a41ba655dafcabc99bc1a5d9f2101500 | [
"self.logger = logging.getLogger(__name__)\nself.enabled = enabled\nself.rank = rank\nself.profiler_output_tmp_dir = None\nself.profiler = None",
"if self.enabled:\n self.profiler_output_tmp_dir = tempfile.TemporaryDirectory()\n self.logger.info(f'Starting profiler (enabled=True) with tmp dir {self.profiler... | <|body_start_0|>
self.logger = logging.getLogger(__name__)
self.enabled = enabled
self.rank = rank
self.profiler_output_tmp_dir = None
self.profiler = None
<|end_body_0|>
<|body_start_1|>
if self.enabled:
self.profiler_output_tmp_dir = tempfile.TemporaryDirec... | This class handles the initialization and setup of PyTorch profiler | PyTorchProfilerHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PyTorchProfilerHandler:
"""This class handles the initialization and setup of PyTorch profiler"""
def __init__(self, enabled=False, rank=None):
"""Constructor. Args: enabled (bool): is profiling enabled? export_format (str): generate 'markdown' or 'tensorboard' profile in mlflow arti... | stack_v2_sparse_classes_75kplus_train_074788 | 6,804 | permissive | [
{
"docstring": "Constructor. Args: enabled (bool): is profiling enabled? export_format (str): generate 'markdown' or 'tensorboard' profile in mlflow artifacts rank (int): rank of the current process/node",
"name": "__init__",
"signature": "def __init__(self, enabled=False, rank=None)"
},
{
"docs... | 3 | stack_v2_sparse_classes_30k_train_030162 | Implement the Python class `PyTorchProfilerHandler` described below.
Class description:
This class handles the initialization and setup of PyTorch profiler
Method signatures and docstrings:
- def __init__(self, enabled=False, rank=None): Constructor. Args: enabled (bool): is profiling enabled? export_format (str): ge... | Implement the Python class `PyTorchProfilerHandler` described below.
Class description:
This class handles the initialization and setup of PyTorch profiler
Method signatures and docstrings:
- def __init__(self, enabled=False, rank=None): Constructor. Args: enabled (bool): is profiling enabled? export_format (str): ge... | e5f7b247d4753f115a8f7da30cbe25294f71f9d7 | <|skeleton|>
class PyTorchProfilerHandler:
"""This class handles the initialization and setup of PyTorch profiler"""
def __init__(self, enabled=False, rank=None):
"""Constructor. Args: enabled (bool): is profiling enabled? export_format (str): generate 'markdown' or 'tensorboard' profile in mlflow arti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PyTorchProfilerHandler:
"""This class handles the initialization and setup of PyTorch profiler"""
def __init__(self, enabled=False, rank=None):
"""Constructor. Args: enabled (bool): is profiling enabled? export_format (str): generate 'markdown' or 'tensorboard' profile in mlflow artifacts rank (i... | the_stack_v2_python_sparse | tutorials/e2e-distributed-pytorch-image/src/pytorch_dl_train/profiling.py | Azure/azureml-examples | train | 1,219 |
70b686f43718901a121eca64e4f7e12b969d0a32 | [
"super(GeneratorSimple, self).__init__()\nwith self.init_scope():\n self.e = L.Convolution2D(1025, chs, (4, 1), stride=(4, 1))\n self.c11 = L.Convolution2D(chs, chs, (5, 1))\n self.c12 = L.Convolution2D(chs, chs, (5, 1))\n self.c21 = L.Convolution2D(chs, chs, (5, 1))\n self.c22 = L.Convolution2D(chs,... | <|body_start_0|>
super(GeneratorSimple, self).__init__()
with self.init_scope():
self.e = L.Convolution2D(1025, chs, (4, 1), stride=(4, 1))
self.c11 = L.Convolution2D(chs, chs, (5, 1))
self.c12 = L.Convolution2D(chs, chs, (5, 1))
self.c21 = L.Convolution2D... | 実行用生成側ネットワーク 要 model_convert.py | GeneratorSimple | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GeneratorSimple:
"""実行用生成側ネットワーク 要 model_convert.py"""
def __init__(self, chs=256, layers=6):
"""レイヤー定義"""
<|body_0|>
def __call__(self, *_x, **kwargs):
"""実行"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(GeneratorSimple, self).__init__(... | stack_v2_sparse_classes_75kplus_train_074789 | 7,976 | permissive | [
{
"docstring": "レイヤー定義",
"name": "__init__",
"signature": "def __init__(self, chs=256, layers=6)"
},
{
"docstring": "実行",
"name": "__call__",
"signature": "def __call__(self, *_x, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_037512 | Implement the Python class `GeneratorSimple` described below.
Class description:
実行用生成側ネットワーク 要 model_convert.py
Method signatures and docstrings:
- def __init__(self, chs=256, layers=6): レイヤー定義
- def __call__(self, *_x, **kwargs): 実行 | Implement the Python class `GeneratorSimple` described below.
Class description:
実行用生成側ネットワーク 要 model_convert.py
Method signatures and docstrings:
- def __init__(self, chs=256, layers=6): レイヤー定義
- def __call__(self, *_x, **kwargs): 実行
<|skeleton|>
class GeneratorSimple:
"""実行用生成側ネットワーク 要 model_convert.py"""
... | 44a1c38c71f67ce32cf64b152c4a87841e819b04 | <|skeleton|>
class GeneratorSimple:
"""実行用生成側ネットワーク 要 model_convert.py"""
def __init__(self, chs=256, layers=6):
"""レイヤー定義"""
<|body_0|>
def __call__(self, *_x, **kwargs):
"""実行"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GeneratorSimple:
"""実行用生成側ネットワーク 要 model_convert.py"""
def __init__(self, chs=256, layers=6):
"""レイヤー定義"""
super(GeneratorSimple, self).__init__()
with self.init_scope():
self.e = L.Convolution2D(1025, chs, (4, 1), stride=(4, 1))
self.c11 = L.Convolution2D(... | the_stack_v2_python_sparse | vrc_project/model.py | toda-necgene/VRC_Project | train | 7 |
4fe98f440cabf06dc0ab60347c1012405a39c6b6 | [
"self.offset = offset\nself.length = length\nself.current_byte = current_byte\nself.time = time\nself.source_url = source_url\nself.destination_url = destination_url\nself.component_number = component_number\nself.total_components = total_components\nself.operation_name = operation_name\nself.process_id = process_i... | <|body_start_0|>
self.offset = offset
self.length = length
self.current_byte = current_byte
self.time = time
self.source_url = source_url
self.destination_url = destination_url
self.component_number = component_number
self.total_components = total_componen... | Message class for sending information about operation progress. This class contains specific information on the progress of operating on a file, cloud object, or single component. Attributes: offset (int): Start of byte range to start operation at. length (int): Total size of file or component in bytes. current_byte (i... | DetailedProgressMessage | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DetailedProgressMessage:
"""Message class for sending information about operation progress. This class contains specific information on the progress of operating on a file, cloud object, or single component. Attributes: offset (int): Start of byte range to start operation at. length (int): Total ... | stack_v2_sparse_classes_75kplus_train_074790 | 5,325 | permissive | [
{
"docstring": "Initializes a ProgressMessage. See attributes docstring for arguments.",
"name": "__init__",
"signature": "def __init__(self, offset, length, current_byte, time, source_url, destination_url=None, component_number=None, total_components=None, operation_name=None, process_id=None, thread_i... | 2 | null | Implement the Python class `DetailedProgressMessage` described below.
Class description:
Message class for sending information about operation progress. This class contains specific information on the progress of operating on a file, cloud object, or single component. Attributes: offset (int): Start of byte range to s... | Implement the Python class `DetailedProgressMessage` described below.
Class description:
Message class for sending information about operation progress. This class contains specific information on the progress of operating on a file, cloud object, or single component. Attributes: offset (int): Start of byte range to s... | 060174026ac068b6442b6c58bedf5adc7bc549cb | <|skeleton|>
class DetailedProgressMessage:
"""Message class for sending information about operation progress. This class contains specific information on the progress of operating on a file, cloud object, or single component. Attributes: offset (int): Start of byte range to start operation at. length (int): Total ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DetailedProgressMessage:
"""Message class for sending information about operation progress. This class contains specific information on the progress of operating on a file, cloud object, or single component. Attributes: offset (int): Start of byte range to start operation at. length (int): Total size of file ... | the_stack_v2_python_sparse | google-cloud-sdk/lib/googlecloudsdk/command_lib/storage/thread_messages.py | salewski/google-cloud-sdk | train | 0 |
a15f63dd362349fca5197bf65413ea649ea3f6d0 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn Quota()",
"from .storage_plan_information import StoragePlanInformation\nfrom .storage_plan_information import StoragePlanInformation\nfields: Dict[str, Callable[[Any], None]] = {'deleted': lambda n: setattr(self, 'deleted', n.get_int_... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return Quota()
<|end_body_0|>
<|body_start_1|>
from .storage_plan_information import StoragePlanInformation
from .storage_plan_information import StoragePlanInformation
fields: Dict[str... | Quota | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Quota:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Quota:
"""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: Quota"""
... | stack_v2_sparse_classes_75kplus_train_074791 | 3,964 | 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: Quota",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(parse_n... | 3 | stack_v2_sparse_classes_30k_train_006428 | Implement the Python class `Quota` described below.
Class description:
Implement the Quota class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Quota: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The p... | Implement the Python class `Quota` described below.
Class description:
Implement the Quota class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Quota: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The p... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class Quota:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Quota:
"""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: Quota"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Quota:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Quota:
"""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: Quota"""
if not pars... | the_stack_v2_python_sparse | msgraph/generated/models/quota.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
84a1bd59e1807c056aab45edb2c5d1af868b4cfb | [
"super(ResNet18, self).__init__()\nself.conv1 = nn.Sequential(nn.Conv2d(3, 16, kernel_size=3, stride=3, padding=1), nn.BatchNorm2d(16))\nself.blk1 = ResBlk(16, 32, stride=3)\nself.blk2 = ResBlk(32, 64, stride=3)\nself.blk3 = ResBlk(64, 128, stride=2)\nself.blk4 = ResBlk(128, 256, stride=2)\nself.outlayer = nn.Linea... | <|body_start_0|>
super(ResNet18, self).__init__()
self.conv1 = nn.Sequential(nn.Conv2d(3, 16, kernel_size=3, stride=3, padding=1), nn.BatchNorm2d(16))
self.blk1 = ResBlk(16, 32, stride=3)
self.blk2 = ResBlk(32, 64, stride=3)
self.blk3 = ResBlk(64, 128, stride=2)
self.blk4... | ResNet18 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResNet18:
def __init__(self, num_class):
""":param num_class: :return:"""
<|body_0|>
def forward(self, x):
""":param x: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(ResNet18, self).__init__()
self.conv1 = nn.Sequential(nn.C... | stack_v2_sparse_classes_75kplus_train_074792 | 3,064 | no_license | [
{
"docstring": ":param num_class: :return:",
"name": "__init__",
"signature": "def __init__(self, num_class)"
},
{
"docstring": ":param x: :return:",
"name": "forward",
"signature": "def forward(self, x)"
}
] | 2 | null | Implement the Python class `ResNet18` described below.
Class description:
Implement the ResNet18 class.
Method signatures and docstrings:
- def __init__(self, num_class): :param num_class: :return:
- def forward(self, x): :param x: :return: | Implement the Python class `ResNet18` described below.
Class description:
Implement the ResNet18 class.
Method signatures and docstrings:
- def __init__(self, num_class): :param num_class: :return:
- def forward(self, x): :param x: :return:
<|skeleton|>
class ResNet18:
def __init__(self, num_class):
"""... | fd491aaee87ae98c617a5530c27073ed650d25e6 | <|skeleton|>
class ResNet18:
def __init__(self, num_class):
""":param num_class: :return:"""
<|body_0|>
def forward(self, x):
""":param x: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResNet18:
def __init__(self, num_class):
""":param num_class: :return:"""
super(ResNet18, self).__init__()
self.conv1 = nn.Sequential(nn.Conv2d(3, 16, kernel_size=3, stride=3, padding=1), nn.BatchNorm2d(16))
self.blk1 = ResBlk(16, 32, stride=3)
self.blk2 = ResBlk(32, 64... | the_stack_v2_python_sparse | resnet.py | RichardoMrMu/image_classification | train | 1 | |
a6ba793399f04b64d1ffd43253d331710e82fcf6 | [
"self.lambtha = lambtha\nself.π = 3.1415926536\nself.e = 2.7182818285\nλ = float(lambtha)\nif data is None:\n if λ <= 0:\n raise ValueError('lambtha must be a positive value')\nelse:\n if type(data) is not list:\n raise TypeError('data must be a list')\n elif len(data) < 2:\n raise Val... | <|body_start_0|>
self.lambtha = lambtha
self.π = 3.1415926536
self.e = 2.7182818285
λ = float(lambtha)
if data is None:
if λ <= 0:
raise ValueError('lambtha must be a positive value')
else:
if type(data) is not list:
... | Class | Poisson | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Poisson:
"""Class"""
def __init__(self, data=None, lambtha=1.0):
"""Initialize Poisson Args: - data (lst): List of the data to be used to estimate the dist - lambtha (int): Expected number of events in a given time frame Returns: λ"""
<|body_0|>
def erf(self, x):
... | stack_v2_sparse_classes_75kplus_train_074793 | 2,722 | no_license | [
{
"docstring": "Initialize Poisson Args: - data (lst): List of the data to be used to estimate the dist - lambtha (int): Expected number of events in a given time frame Returns: λ",
"name": "__init__",
"signature": "def __init__(self, data=None, lambtha=1.0)"
},
{
"docstring": "is the \"error fu... | 5 | stack_v2_sparse_classes_30k_train_001061 | Implement the Python class `Poisson` described below.
Class description:
Class
Method signatures and docstrings:
- def __init__(self, data=None, lambtha=1.0): Initialize Poisson Args: - data (lst): List of the data to be used to estimate the dist - lambtha (int): Expected number of events in a given time frame Return... | Implement the Python class `Poisson` described below.
Class description:
Class
Method signatures and docstrings:
- def __init__(self, data=None, lambtha=1.0): Initialize Poisson Args: - data (lst): List of the data to be used to estimate the dist - lambtha (int): Expected number of events in a given time frame Return... | eb47cd4d12e2f0627bb5e5af28cc0802ff13d0d9 | <|skeleton|>
class Poisson:
"""Class"""
def __init__(self, data=None, lambtha=1.0):
"""Initialize Poisson Args: - data (lst): List of the data to be used to estimate the dist - lambtha (int): Expected number of events in a given time frame Returns: λ"""
<|body_0|>
def erf(self, x):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Poisson:
"""Class"""
def __init__(self, data=None, lambtha=1.0):
"""Initialize Poisson Args: - data (lst): List of the data to be used to estimate the dist - lambtha (int): Expected number of events in a given time frame Returns: λ"""
self.lambtha = lambtha
self.π = 3.1415926536
... | the_stack_v2_python_sparse | math/0x03-probability/poisson.py | rodrigocruz13/holbertonschool-machine_learning | train | 4 |
3b3261318f99b609e8cb300d7c6a0d8414d7805b | [
"super().__init__(parent, **kwargs)\nself.active = False\nself.bind('<Button-1>', self.toggle)",
"if active is not None:\n self.active = active\nelse:\n self.active = not self.active\nbg = BUTTON_ACTIVE_BG if self.active else BUTTON_ACTIVE_FG\nfg = BUTTON_ACTIVE_FG if self.active else BUTTON_ACTIVE_BG\nself... | <|body_start_0|>
super().__init__(parent, **kwargs)
self.active = False
self.bind('<Button-1>', self.toggle)
<|end_body_0|>
<|body_start_1|>
if active is not None:
self.active = active
else:
self.active = not self.active
bg = BUTTON_ACTIVE_BG if s... | ToggleButton | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ToggleButton:
def __init__(self, parent, **kwargs):
"""Special button to change modes and stay in one state."""
<|body_0|>
def toggle(self, event=None, active=None):
"""Call with no args to toggle or True/False to set button state."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus_train_074794 | 18,668 | no_license | [
{
"docstring": "Special button to change modes and stay in one state.",
"name": "__init__",
"signature": "def __init__(self, parent, **kwargs)"
},
{
"docstring": "Call with no args to toggle or True/False to set button state.",
"name": "toggle",
"signature": "def toggle(self, event=None,... | 2 | stack_v2_sparse_classes_30k_train_035976 | Implement the Python class `ToggleButton` described below.
Class description:
Implement the ToggleButton class.
Method signatures and docstrings:
- def __init__(self, parent, **kwargs): Special button to change modes and stay in one state.
- def toggle(self, event=None, active=None): Call with no args to toggle or Tr... | Implement the Python class `ToggleButton` described below.
Class description:
Implement the ToggleButton class.
Method signatures and docstrings:
- def __init__(self, parent, **kwargs): Special button to change modes and stay in one state.
- def toggle(self, event=None, active=None): Call with no args to toggle or Tr... | 04df21fce6a8ec3e72530726f85bc88c6f80674a | <|skeleton|>
class ToggleButton:
def __init__(self, parent, **kwargs):
"""Special button to change modes and stay in one state."""
<|body_0|>
def toggle(self, event=None, active=None):
"""Call with no args to toggle or True/False to set button state."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ToggleButton:
def __init__(self, parent, **kwargs):
"""Special button to change modes and stay in one state."""
super().__init__(parent, **kwargs)
self.active = False
self.bind('<Button-1>', self.toggle)
def toggle(self, event=None, active=None):
"""Call with no ar... | the_stack_v2_python_sparse | drawtools/view.py | jeffriesd/dsDraw-python | train | 0 | |
c4e747d728a5317e3f5d232b080730bbc6c6c114 | [
"dp = [[0] * (n + 1) for _ in range(n + 1)]\nfor i in range(n, 0, -1):\n for j in range(i + 1, n + 1):\n dp[i][j] = min((k + max(dp[i][k - 1], dp[k + 1][j]) for k in range(i, j)))\nreturn dp[1][n]",
"def search(left, right):\n if left >= right:\n return 0\n if dp[left][right]:\n retu... | <|body_start_0|>
dp = [[0] * (n + 1) for _ in range(n + 1)]
for i in range(n, 0, -1):
for j in range(i + 1, n + 1):
dp[i][j] = min((k + max(dp[i][k - 1], dp[k + 1][j]) for k in range(i, j)))
return dp[1][n]
<|end_body_0|>
<|body_start_1|>
def search(left, rig... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getMoneyAmount(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def getMoneyAmount_recursive(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
dp = [[0] * (n + 1) for _ in range(n + 1)]
fo... | stack_v2_sparse_classes_75kplus_train_074795 | 2,412 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "getMoneyAmount",
"signature": "def getMoneyAmount(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "getMoneyAmount_recursive",
"signature": "def getMoneyAmount_recursive(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_051879 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMoneyAmount(self, n): :type n: int :rtype: int
- def getMoneyAmount_recursive(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMoneyAmount(self, n): :type n: int :rtype: int
- def getMoneyAmount_recursive(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def getMoneyAmount(self... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def getMoneyAmount(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def getMoneyAmount_recursive(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getMoneyAmount(self, n):
""":type n: int :rtype: int"""
dp = [[0] * (n + 1) for _ in range(n + 1)]
for i in range(n, 0, -1):
for j in range(i + 1, n + 1):
dp[i][j] = min((k + max(dp[i][k - 1], dp[k + 1][j]) for k in range(i, j)))
return... | the_stack_v2_python_sparse | src/lt_375.py | oxhead/CodingYourWay | train | 0 | |
68574acbaa42c2c9b152ca313489707285fff010 | [
"self.location = location\nself.region = region\nself.subnet = subnet\nself.vpn = vpn",
"if dictionary is None:\n return None\nlocation = dictionary.get('location')\nregion = cohesity_management_sdk.models.entity_proto.EntityProto.from_dictionary(dictionary.get('region')) if dictionary.get('region') else None\... | <|body_start_0|>
self.location = location
self.region = region
self.subnet = subnet
self.vpn = vpn
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
location = dictionary.get('location')
region = cohesity_management_sdk.models.entity_... | Implementation of the 'DataTransferInfo_PrivateNetworkInfo' model. TODO: type description here. Attributes: location (string): Region/location of the virtual network. region (EntityProto): Proto of the region of the virtual network. subnet (EntityProto): Subnet in which we will create a private endpoint. vpn (EntityPro... | DataTransferInfo_PrivateNetworkInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataTransferInfo_PrivateNetworkInfo:
"""Implementation of the 'DataTransferInfo_PrivateNetworkInfo' model. TODO: type description here. Attributes: location (string): Region/location of the virtual network. region (EntityProto): Proto of the region of the virtual network. subnet (EntityProto): Su... | stack_v2_sparse_classes_75kplus_train_074796 | 2,435 | permissive | [
{
"docstring": "Constructor for the DataTransferInfo_PrivateNetworkInfo class",
"name": "__init__",
"signature": "def __init__(self, location=None, region=None, subnet=None, vpn=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A diction... | 2 | stack_v2_sparse_classes_30k_train_002875 | Implement the Python class `DataTransferInfo_PrivateNetworkInfo` described below.
Class description:
Implementation of the 'DataTransferInfo_PrivateNetworkInfo' model. TODO: type description here. Attributes: location (string): Region/location of the virtual network. region (EntityProto): Proto of the region of the vi... | Implement the Python class `DataTransferInfo_PrivateNetworkInfo` described below.
Class description:
Implementation of the 'DataTransferInfo_PrivateNetworkInfo' model. TODO: type description here. Attributes: location (string): Region/location of the virtual network. region (EntityProto): Proto of the region of the vi... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class DataTransferInfo_PrivateNetworkInfo:
"""Implementation of the 'DataTransferInfo_PrivateNetworkInfo' model. TODO: type description here. Attributes: location (string): Region/location of the virtual network. region (EntityProto): Proto of the region of the virtual network. subnet (EntityProto): Su... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataTransferInfo_PrivateNetworkInfo:
"""Implementation of the 'DataTransferInfo_PrivateNetworkInfo' model. TODO: type description here. Attributes: location (string): Region/location of the virtual network. region (EntityProto): Proto of the region of the virtual network. subnet (EntityProto): Subnet in which... | the_stack_v2_python_sparse | cohesity_management_sdk/models/data_transfer_info_private_network_info.py | cohesity/management-sdk-python | train | 24 |
bf0a30387469fe3617ad31766c28da0c30e6f179 | [
"super().__init__(prev_node)\nself.in_dim = prev_node.out_dim\nself.out_dim = self.in_dim\nself.in_var = prev_node.out_var\nself.out_var = Allocation.allocate_var('float', 'x', self.out_dim)\nself.mean = mean",
"out_idx_var = IndexedVariable(self.out_var)\nin_idx_var = IndexedVariable(self.in_var)\nsub_node = Sub... | <|body_start_0|>
super().__init__(prev_node)
self.in_dim = prev_node.out_dim
self.out_dim = self.in_dim
self.in_var = prev_node.out_var
self.out_var = Allocation.allocate_var('float', 'x', self.out_dim)
self.mean = mean
<|end_body_0|>
<|body_start_1|>
out_idx_var... | A node to subtract the image mean before the CNN is executed. This kind of layer is not available in Keras but useful to do the preprocessing. out_var = in_var - mean | MeanNode | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeanNode:
"""A node to subtract the image mean before the CNN is executed. This kind of layer is not available in Keras but useful to do the preprocessing. out_var = in_var - mean"""
def __init__(self, mean, prev_node):
"""Initialize the node. :param mean: The mean to be subtracted a... | stack_v2_sparse_classes_75kplus_train_074797 | 20,388 | permissive | [
{
"docstring": "Initialize the node. :param mean: The mean to be subtracted as scalar. :param prev_node: The previous node.",
"name": "__init__",
"signature": "def __init__(self, mean, prev_node)"
},
{
"docstring": "Create the loops required to express this node in ANSI C code without SIMD and r... | 2 | stack_v2_sparse_classes_30k_train_038696 | Implement the Python class `MeanNode` described below.
Class description:
A node to subtract the image mean before the CNN is executed. This kind of layer is not available in Keras but useful to do the preprocessing. out_var = in_var - mean
Method signatures and docstrings:
- def __init__(self, mean, prev_node): Init... | Implement the Python class `MeanNode` described below.
Class description:
A node to subtract the image mean before the CNN is executed. This kind of layer is not available in Keras but useful to do the preprocessing. out_var = in_var - mean
Method signatures and docstrings:
- def __init__(self, mean, prev_node): Init... | 987b0efeb56cd150b3a34b672fd5eba05e6d491f | <|skeleton|>
class MeanNode:
"""A node to subtract the image mean before the CNN is executed. This kind of layer is not available in Keras but useful to do the preprocessing. out_var = in_var - mean"""
def __init__(self, mean, prev_node):
"""Initialize the node. :param mean: The mean to be subtracted a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MeanNode:
"""A node to subtract the image mean before the CNN is executed. This kind of layer is not available in Keras but useful to do the preprocessing. out_var = in_var - mean"""
def __init__(self, mean, prev_node):
"""Initialize the node. :param mean: The mean to be subtracted as scalar. :pa... | the_stack_v2_python_sparse | nncg/nodes/cnn.py | iml130/nncg | train | 34 |
03dd5e4d617d1587d96287217541a2f14fb6f3f1 | [
"account_data = validated_data.pop('account')\naccount = User(**account_data)\naccount.set_password(account.password)\naccount.save()\nuser_profile = UserProfileModel.objects.create(account=account, **validated_data)\nreturn user_profile",
"instance.profile_photo = validated_data.get('profile_photo', instance.pro... | <|body_start_0|>
account_data = validated_data.pop('account')
account = User(**account_data)
account.set_password(account.password)
account.save()
user_profile = UserProfileModel.objects.create(account=account, **validated_data)
return user_profile
<|end_body_0|>
<|body_... | The serializer for the user profile model | UserProfileSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProfileSerializer:
"""The serializer for the user profile model"""
def create(self, validated_data):
"""Creates a new user profile from the request's data"""
<|body_0|>
def update(self, instance, validated_data):
"""Updates a certain user profile from the req... | stack_v2_sparse_classes_75kplus_train_074798 | 3,283 | permissive | [
{
"docstring": "Creates a new user profile from the request's data",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Updates a certain user profile from the request's data",
"name": "update",
"signature": "def update(self, instance, validated_data)"
... | 2 | stack_v2_sparse_classes_30k_train_038780 | Implement the Python class `UserProfileSerializer` described below.
Class description:
The serializer for the user profile model
Method signatures and docstrings:
- def create(self, validated_data): Creates a new user profile from the request's data
- def update(self, instance, validated_data): Updates a certain user... | Implement the Python class `UserProfileSerializer` described below.
Class description:
The serializer for the user profile model
Method signatures and docstrings:
- def create(self, validated_data): Creates a new user profile from the request's data
- def update(self, instance, validated_data): Updates a certain user... | 7c361a31c5225c6ad649fcf92e323bdb10cc4c16 | <|skeleton|>
class UserProfileSerializer:
"""The serializer for the user profile model"""
def create(self, validated_data):
"""Creates a new user profile from the request's data"""
<|body_0|>
def update(self, instance, validated_data):
"""Updates a certain user profile from the req... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserProfileSerializer:
"""The serializer for the user profile model"""
def create(self, validated_data):
"""Creates a new user profile from the request's data"""
account_data = validated_data.pop('account')
account = User(**account_data)
account.set_password(account.passwo... | the_stack_v2_python_sparse | users/serializers.py | ahmed-alllam/Koshkie-Server | train | 0 |
d9cf2b4323bf234e810412b1ebd20ab94330dea4 | [
"super().__init__(group=None, target=None, name='CheckpointWorker')\nself.notify = notify\nself.patterns = patterns",
"while True:\n self.notify.wait(timeout=None)\n self.log.debug('got notification, starting work')\n matched_files = CheckpointWorker.get_matched_filenames(self.patterns)\n CheckpointWo... | <|body_start_0|>
super().__init__(group=None, target=None, name='CheckpointWorker')
self.notify = notify
self.patterns = patterns
<|end_body_0|>
<|body_start_1|>
while True:
self.notify.wait(timeout=None)
self.log.debug('got notification, starting work')
... | Thread to handle saving and staging out checkpoint files. | CheckpointWorker | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckpointWorker:
"""Thread to handle saving and staging out checkpoint files."""
def __init__(self, notify: threading.Event, patterns: List[str]):
"""Constructor :param notify: event to watch for, which will indicate that this thread needs to run :type notify: threading.Event :param... | stack_v2_sparse_classes_75kplus_train_074799 | 9,748 | permissive | [
{
"docstring": "Constructor :param notify: event to watch for, which will indicate that this thread needs to run :type notify: threading.Event :param patterns: regex file patterns to match :type patterns: List[str]",
"name": "__init__",
"signature": "def __init__(self, notify: threading.Event, patterns:... | 4 | stack_v2_sparse_classes_30k_train_047049 | Implement the Python class `CheckpointWorker` described below.
Class description:
Thread to handle saving and staging out checkpoint files.
Method signatures and docstrings:
- def __init__(self, notify: threading.Event, patterns: List[str]): Constructor :param notify: event to watch for, which will indicate that this... | Implement the Python class `CheckpointWorker` described below.
Class description:
Thread to handle saving and staging out checkpoint files.
Method signatures and docstrings:
- def __init__(self, notify: threading.Event, patterns: List[str]): Constructor :param notify: event to watch for, which will indicate that this... | 6b7e41d7ebfacca23d853890937e593a248e6a6a | <|skeleton|>
class CheckpointWorker:
"""Thread to handle saving and staging out checkpoint files."""
def __init__(self, notify: threading.Event, patterns: List[str]):
"""Constructor :param notify: event to watch for, which will indicate that this thread needs to run :type notify: threading.Event :param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CheckpointWorker:
"""Thread to handle saving and staging out checkpoint files."""
def __init__(self, notify: threading.Event, patterns: List[str]):
"""Constructor :param notify: event to watch for, which will indicate that this thread needs to run :type notify: threading.Event :param patterns: re... | the_stack_v2_python_sparse | packages/pegasus-worker/src/Pegasus/cli/pegasus-checkpoint.py | pegasus-isi/pegasus | train | 156 |
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