blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f2c34ef40d68eb2743ca10f1918f274a84252625 | [
"output = self.git('show-branch', '--no-color')\ntry:\n prelude, body = re.split('^-+$', output, flags=re.M)\nexcept ValueError:\n lines = filter_(output.splitlines())\nelse:\n match = re.search('^(\\\\s+)\\\\*', prelude, re.M)\n if not match:\n print('branch {} not found in header information'.f... | <|body_start_0|>
output = self.git('show-branch', '--no-color')
try:
prelude, body = re.split('^-+$', output, flags=re.M)
except ValueError:
lines = filter_(output.splitlines())
else:
match = re.search('^(\\s+)\\*', prelude, re.M)
if not ma... | Provide reusable methods for detecting the nearest of a branch relatives | NearestBranchMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NearestBranchMixin:
"""Provide reusable methods for detecting the nearest of a branch relatives"""
def branch_relatives(self, branch):
"""Get list of all relatives from ``git show-branch`` results"""
<|body_0|>
def nearest_branch(self, branch, default='master'):
... | stack_v2_sparse_classes_36k_train_022600 | 2,113 | permissive | [
{
"docstring": "Get list of all relatives from ``git show-branch`` results",
"name": "branch_relatives",
"signature": "def branch_relatives(self, branch)"
},
{
"docstring": "Find the nearest commit in current branch history that exists on a different branch and return that branch name. If no suc... | 2 | null | Implement the Python class `NearestBranchMixin` described below.
Class description:
Provide reusable methods for detecting the nearest of a branch relatives
Method signatures and docstrings:
- def branch_relatives(self, branch): Get list of all relatives from ``git show-branch`` results
- def nearest_branch(self, bra... | Implement the Python class `NearestBranchMixin` described below.
Class description:
Provide reusable methods for detecting the nearest of a branch relatives
Method signatures and docstrings:
- def branch_relatives(self, branch): Get list of all relatives from ``git show-branch`` results
- def nearest_branch(self, bra... | 7f6eae583ba4a38749b14a6e348c6d4fcf6811e8 | <|skeleton|>
class NearestBranchMixin:
"""Provide reusable methods for detecting the nearest of a branch relatives"""
def branch_relatives(self, branch):
"""Get list of all relatives from ``git show-branch`` results"""
<|body_0|>
def nearest_branch(self, branch, default='master'):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NearestBranchMixin:
"""Provide reusable methods for detecting the nearest of a branch relatives"""
def branch_relatives(self, branch):
"""Get list of all relatives from ``git show-branch`` results"""
output = self.git('show-branch', '--no-color')
try:
prelude, body = r... | the_stack_v2_python_sparse | core/git_mixins/rebase.py | timbrel/GitSavvy | train | 174 |
187028f13021e96f2fb9973a4c1e2a86b9b7bc96 | [
"res, index, stack = (0, 0, [])\nfor i, char in enumerate(s):\n if char == '(':\n stack.append(i)\n elif not stack:\n index = i + 1\n else:\n stack.pop()\n if stack:\n res = max(res, i - stack[-1])\n else:\n res = max(res, i - index + 1)\nreturn res"... | <|body_start_0|>
res, index, stack = (0, 0, [])
for i, char in enumerate(s):
if char == '(':
stack.append(i)
elif not stack:
index = i + 1
else:
stack.pop()
if stack:
res = max(res, i ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def longestValidParentheses1(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res, index, stack = (0, 0, [])
for i... | stack_v2_sparse_classes_36k_train_022601 | 1,446 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "longestValidParentheses1",
"signature": "def longestValidParentheses1(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000844 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): :type s: str :rtype: int
- def longestValidParentheses1(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 longestValidParentheses(self, s): :type s: str :rtype: int
- def longestValidParentheses1(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def longestVal... | b8ec1350e904665f1375c29a53f443ecf262d723 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def longestValidParentheses1(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestValidParentheses(self, s):
""":type s: str :rtype: int"""
res, index, stack = (0, 0, [])
for i, char in enumerate(s):
if char == '(':
stack.append(i)
elif not stack:
index = i + 1
else:
... | the_stack_v2_python_sparse | leetcode/032最长有效括号.py | ShawDa/Coding | train | 0 | |
aa97e708f93a203c217bc197d0966c901ac51757 | [
"super().__init__(contamination=contamination, **kwargs)\nself.contamination = contamination\nself.iforest_obj = None",
"if self.iforest_obj is not None:\n f = open(path.join(self.output_dir, 'iforest_object.pickle'), 'wb')\n pickle.dump(self.iforest_obj, f)",
"iforest = IsolationForest(contamination=self... | <|body_start_0|>
super().__init__(contamination=contamination, **kwargs)
self.contamination = contamination
self.iforest_obj = None
<|end_body_0|>
<|body_start_1|>
if self.iforest_obj is not None:
f = open(path.join(self.output_dir, 'iforest_object.pickle'), 'wb')
... | IforestAlgorithm | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IforestAlgorithm:
def __init__(self, contamination='auto', **kwargs):
"""Runs sklearn's isolation forest anomaly detection algorithm and returns the anomaly score for each instance. Parameters ---------- contamination : string or float, optional Hyperparameter to pass to IsolationForest.... | stack_v2_sparse_classes_36k_train_022602 | 1,932 | permissive | [
{
"docstring": "Runs sklearn's isolation forest anomaly detection algorithm and returns the anomaly score for each instance. Parameters ---------- contamination : string or float, optional Hyperparameter to pass to IsolationForest. 'auto' is recommended",
"name": "__init__",
"signature": "def __init__(s... | 3 | stack_v2_sparse_classes_30k_test_000670 | Implement the Python class `IforestAlgorithm` described below.
Class description:
Implement the IforestAlgorithm class.
Method signatures and docstrings:
- def __init__(self, contamination='auto', **kwargs): Runs sklearn's isolation forest anomaly detection algorithm and returns the anomaly score for each instance. P... | Implement the Python class `IforestAlgorithm` described below.
Class description:
Implement the IforestAlgorithm class.
Method signatures and docstrings:
- def __init__(self, contamination='auto', **kwargs): Runs sklearn's isolation forest anomaly detection algorithm and returns the anomaly score for each instance. P... | 041391f4ef0667e555046fc66f5beb67b4975dda | <|skeleton|>
class IforestAlgorithm:
def __init__(self, contamination='auto', **kwargs):
"""Runs sklearn's isolation forest anomaly detection algorithm and returns the anomaly score for each instance. Parameters ---------- contamination : string or float, optional Hyperparameter to pass to IsolationForest.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IforestAlgorithm:
def __init__(self, contamination='auto', **kwargs):
"""Runs sklearn's isolation forest anomaly detection algorithm and returns the anomaly score for each instance. Parameters ---------- contamination : string or float, optional Hyperparameter to pass to IsolationForest. 'auto' is rec... | the_stack_v2_python_sparse | astronomaly/anomaly_detection/isolation_forest.py | MichelleLochner/astronomaly | train | 69 | |
f685a91633999969774e35a9327691c4d348c50d | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(email=APUserManager.normalize_email(email))\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(email, password=password)\nuser.is_admin = True\nuser.is_staff = True\nuser.is_sup... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=APUserManager.normalize_email(email))
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_start_1|>
user = self.cre... | APUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class APUserManager:
def create_user(self, email, password=None):
"""Creates a user, given an email and a password (optional)"""
<|body_0|>
def create_superuser(self, email, password):
"""Creates a super user, given an email and password (required)"""
<|body_1|>
<... | stack_v2_sparse_classes_36k_train_022603 | 7,724 | no_license | [
{
"docstring": "Creates a user, given an email and a password (optional)",
"name": "create_user",
"signature": "def create_user(self, email, password=None)"
},
{
"docstring": "Creates a super user, given an email and password (required)",
"name": "create_superuser",
"signature": "def cre... | 2 | stack_v2_sparse_classes_30k_train_000218 | Implement the Python class `APUserManager` described below.
Class description:
Implement the APUserManager class.
Method signatures and docstrings:
- def create_user(self, email, password=None): Creates a user, given an email and a password (optional)
- def create_superuser(self, email, password): Creates a super use... | Implement the Python class `APUserManager` described below.
Class description:
Implement the APUserManager class.
Method signatures and docstrings:
- def create_user(self, email, password=None): Creates a user, given an email and a password (optional)
- def create_superuser(self, email, password): Creates a super use... | a211a2f5005af6b90ea33876654d441885f8c6d7 | <|skeleton|>
class APUserManager:
def create_user(self, email, password=None):
"""Creates a user, given an email and a password (optional)"""
<|body_0|>
def create_superuser(self, email, password):
"""Creates a super user, given an email and password (required)"""
<|body_1|>
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class APUserManager:
def create_user(self, email, password=None):
"""Creates a user, given an email and a password (optional)"""
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=APUserManager.normalize_email(email))
user.set_passw... | the_stack_v2_python_sparse | ap/accounts/models.py | burricks/djattendance | train | 0 | |
f11be15e69f1bb25a0a951903edc05e67e7a4839 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn MeetingAttendanceReport()",
"from .attendance_record import AttendanceRecord\nfrom .entity import Entity\nfrom .attendance_record import AttendanceRecord\nfrom .entity import Entity\nfields: Dict[str, Callable[[Any], None]] = {'attenda... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return MeetingAttendanceReport()
<|end_body_0|>
<|body_start_1|>
from .attendance_record import AttendanceRecord
from .entity import Entity
from .attendance_record import AttendanceReco... | MeetingAttendanceReport | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeetingAttendanceReport:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MeetingAttendanceReport:
"""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 creat... | stack_v2_sparse_classes_36k_train_022604 | 3,237 | 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: MeetingAttendanceReport",
"name": "create_from_discriminator_value",
"signature": "def create_from_discrimin... | 3 | null | Implement the Python class `MeetingAttendanceReport` described below.
Class description:
Implement the MeetingAttendanceReport class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MeetingAttendanceReport: Creates a new instance of the appropriate clas... | Implement the Python class `MeetingAttendanceReport` described below.
Class description:
Implement the MeetingAttendanceReport class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MeetingAttendanceReport: Creates a new instance of the appropriate clas... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class MeetingAttendanceReport:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MeetingAttendanceReport:
"""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 creat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MeetingAttendanceReport:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> MeetingAttendanceReport:
"""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 R... | the_stack_v2_python_sparse | msgraph/generated/models/meeting_attendance_report.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
a61c860bcdb6fedbb18504f9701cee9246fa0762 | [
"if isinstance(degrees, numbers.Number):\n if degrees < 0:\n raise ValueError('If degrees is a single number, it must be positive.')\n self.degrees = (-degrees, degrees)\nelse:\n if len(degrees) != 2:\n raise ValueError('If degrees is a sequence, it must be of len 2.')\n self.degrees = deg... | <|body_start_0|>
if isinstance(degrees, numbers.Number):
if degrees < 0:
raise ValueError('If degrees is a single number, it must be positive.')
self.degrees = (-degrees, degrees)
else:
if len(degrees) != 2:
raise ValueError('If degrees... | 随机旋转 | RandomRotation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomRotation:
"""随机旋转"""
def __init__(self, degrees=15, p=0.5, check=True):
"""随机旋转，BUG,loss出现inf,可能因为旋转导致部分box越界或者丢失 :param degrees: :param p:随机旋转的概率 :param check: True False:"""
<|body_0|>
def __call__(self, image, boxes, labels, **kwargs):
""":param image: n... | stack_v2_sparse_classes_36k_train_022605 | 34,265 | no_license | [
{
"docstring": "随机旋转，BUG,loss出现inf,可能因为旋转导致部分box越界或者丢失 :param degrees: :param p:随机旋转的概率 :param check: True False:",
"name": "__init__",
"signature": "def __init__(self, degrees=15, p=0.5, check=True)"
},
{
"docstring": ":param image: nparray img :param boxes: np.array([[88, 176, 250, 312, 1222],... | 2 | stack_v2_sparse_classes_30k_train_017626 | Implement the Python class `RandomRotation` described below.
Class description:
随机旋转
Method signatures and docstrings:
- def __init__(self, degrees=15, p=0.5, check=True): 随机旋转，BUG,loss出现inf,可能因为旋转导致部分box越界或者丢失 :param degrees: :param p:随机旋转的概率 :param check: True False:
- def __call__(self, image, boxes, labels, **kwa... | Implement the Python class `RandomRotation` described below.
Class description:
随机旋转
Method signatures and docstrings:
- def __init__(self, degrees=15, p=0.5, check=True): 随机旋转，BUG,loss出现inf,可能因为旋转导致部分box越界或者丢失 :param degrees: :param p:随机旋转的概率 :param check: True False:
- def __call__(self, image, boxes, labels, **kwa... | 40400a6ff7376f933899e7f4fead9f994c39d3fe | <|skeleton|>
class RandomRotation:
"""随机旋转"""
def __init__(self, degrees=15, p=0.5, check=True):
"""随机旋转，BUG,loss出现inf,可能因为旋转导致部分box越界或者丢失 :param degrees: :param p:随机旋转的概率 :param check: True False:"""
<|body_0|>
def __call__(self, image, boxes, labels, **kwargs):
""":param image: n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomRotation:
"""随机旋转"""
def __init__(self, degrees=15, p=0.5, check=True):
"""随机旋转，BUG,loss出现inf,可能因为旋转导致部分box越界或者丢失 :param degrees: :param p:随机旋转的概率 :param check: True False:"""
if isinstance(degrees, numbers.Number):
if degrees < 0:
raise ValueError('If de... | the_stack_v2_python_sparse | models/transforms/augment_bbox_landm.py | PanJinquan/torch-Slim-Detection-Landmark | train | 0 |
6a9d3b8a6494ffa42099fa4d6404c01fb3b9d87b | [
"dtype = dtypes.as_dtype(dtype).base_dtype\nif dtype not in (dtypes.uint8, dtypes.float32):\n raise TypeError('Invalid dtype %r, expected uint8 or float32' % dtype)\nassert data_X.shape[0] == data_Y.shape[0], 'data_X.shape: %s data_Y.shape: %s' % (data_X.shape, data_Y.shape)\nself.num_examples = data_X.shape[0]\... | <|body_start_0|>
dtype = dtypes.as_dtype(dtype).base_dtype
if dtype not in (dtypes.uint8, dtypes.float32):
raise TypeError('Invalid dtype %r, expected uint8 or float32' % dtype)
assert data_X.shape[0] == data_Y.shape[0], 'data_X.shape: %s data_Y.shape: %s' % (data_X.shape, data_Y.sha... | DataSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataSet:
def __init__(self, data_X, data_Y, dtype=dtypes.float32):
"""Checks data and casts it into correct data type."""
<|body_0|>
def next_batch(self, batch_size, seed=None):
"""Return the next `batch_size` examples from this data set."""
<|body_1|>
<|end... | stack_v2_sparse_classes_36k_train_022606 | 19,030 | no_license | [
{
"docstring": "Checks data and casts it into correct data type.",
"name": "__init__",
"signature": "def __init__(self, data_X, data_Y, dtype=dtypes.float32)"
},
{
"docstring": "Return the next `batch_size` examples from this data set.",
"name": "next_batch",
"signature": "def next_batch... | 2 | stack_v2_sparse_classes_30k_train_017689 | Implement the Python class `DataSet` described below.
Class description:
Implement the DataSet class.
Method signatures and docstrings:
- def __init__(self, data_X, data_Y, dtype=dtypes.float32): Checks data and casts it into correct data type.
- def next_batch(self, batch_size, seed=None): Return the next `batch_siz... | Implement the Python class `DataSet` described below.
Class description:
Implement the DataSet class.
Method signatures and docstrings:
- def __init__(self, data_X, data_Y, dtype=dtypes.float32): Checks data and casts it into correct data type.
- def next_batch(self, batch_size, seed=None): Return the next `batch_siz... | 4514e7231ee36ad10030105db14333bd04ee7f72 | <|skeleton|>
class DataSet:
def __init__(self, data_X, data_Y, dtype=dtypes.float32):
"""Checks data and casts it into correct data type."""
<|body_0|>
def next_batch(self, batch_size, seed=None):
"""Return the next `batch_size` examples from this data set."""
<|body_1|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataSet:
def __init__(self, data_X, data_Y, dtype=dtypes.float32):
"""Checks data and casts it into correct data type."""
dtype = dtypes.as_dtype(dtype).base_dtype
if dtype not in (dtypes.uint8, dtypes.float32):
raise TypeError('Invalid dtype %r, expected uint8 or float32' ... | the_stack_v2_python_sparse | statmech/ising2d.py | HussainAther/physics | train | 18 | |
bc17a503755569341f0d1b8d0a28d97c6e2116d9 | [
"def _isSymmetric(left, right):\n if left is None or right is None:\n return left == right\n if not left.val == right.val:\n return False\n return _isSymmetric(left.left, right.right) and _isSymmetric(left.right, right.left)\nif root is None:\n return True\nreturn _isSymmetric(root.left, r... | <|body_start_0|>
def _isSymmetric(left, right):
if left is None or right is None:
return left == right
if not left.val == right.val:
return False
return _isSymmetric(left.left, right.right) and _isSymmetric(left.right, right.left)
if ro... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def _isSymmetric(left, right):
if... | stack_v2_sparse_classes_36k_train_022607 | 2,144 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isSymmetric",
"signature": "def isSymmetric(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isSymmetric",
"signature": "def isSymmetric(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool
<|skeleton|>
class Solution:
def isSymmetric... | 18ed31a3edf20a3e5a0b7a0b56acca5b98939693 | <|skeleton|>
class Solution:
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
def _isSymmetric(left, right):
if left is None or right is None:
return left == right
if not left.val == right.val:
return False
return _isSymmetri... | the_stack_v2_python_sparse | exercises/binary-tree/symmetric_tree.py | nahgnaw/data-structure | train | 0 | |
d8f2da941f0f28ce849d05c5b387b053fcb42a6d | [
"project_id = self.get_secure_cookie('project_id')\nif not project_id:\n return None\nproject_id = UUID(project_id.decode('UTF-8'))\nprojects_manager = srv_or_die('projectsmanager')\nif project_id not in projects_manager.projects:\n self.clear_cookie('project_id')\n return None\nreturn projects_manager.pro... | <|body_start_0|>
project_id = self.get_secure_cookie('project_id')
if not project_id:
return None
project_id = UUID(project_id.decode('UTF-8'))
projects_manager = srv_or_die('projectsmanager')
if project_id not in projects_manager.projects:
self.clear_cook... | Index page handler. | IndexHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IndexHandler:
"""Index page handler."""
def get_project(self):
"""Get the current project or return None if not project is set."""
<|body_0|>
def get(self, args=None):
"""Render index page."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
project... | stack_v2_sparse_classes_36k_train_022608 | 16,584 | permissive | [
{
"docstring": "Get the current project or return None if not project is set.",
"name": "get_project",
"signature": "def get_project(self)"
},
{
"docstring": "Render index page.",
"name": "get",
"signature": "def get(self, args=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019608 | Implement the Python class `IndexHandler` described below.
Class description:
Index page handler.
Method signatures and docstrings:
- def get_project(self): Get the current project or return None if not project is set.
- def get(self, args=None): Render index page. | Implement the Python class `IndexHandler` described below.
Class description:
Index page handler.
Method signatures and docstrings:
- def get_project(self): Get the current project or return None if not project is set.
- def get(self, args=None): Render index page.
<|skeleton|>
class IndexHandler:
"""Index page ... | 38eac8eebf57da4bec07518383ab65a5544445fe | <|skeleton|>
class IndexHandler:
"""Index page handler."""
def get_project(self):
"""Get the current project or return None if not project is set."""
<|body_0|>
def get(self, args=None):
"""Render index page."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IndexHandler:
"""Index page handler."""
def get_project(self):
"""Get the current project or return None if not project is set."""
project_id = self.get_secure_cookie('project_id')
if not project_id:
return None
project_id = UUID(project_id.decode('UTF-8'))
... | the_stack_v2_python_sparse | empower_core/apimanager/apimanager.py | 5g-empower/empower-core | train | 3 |
b28584b8bbd98555f50b21a94c76f7dbfe38ef70 | [
"super().__init__(hass, LOGGER, name=f'proxmox_coordinator_{host_name}_{qemu_id}', update_interval=timedelta(seconds=UPDATE_INTERVAL))\nself.hass = hass\nself.config_entry: ConfigEntry = self.config_entry\nself.proxmox = proxmox\nself.node_name: str\nself.vm_id = qemu_id",
"def poll_api() -> dict[str, Any] | None... | <|body_start_0|>
super().__init__(hass, LOGGER, name=f'proxmox_coordinator_{host_name}_{qemu_id}', update_interval=timedelta(seconds=UPDATE_INTERVAL))
self.hass = hass
self.config_entry: ConfigEntry = self.config_entry
self.proxmox = proxmox
self.node_name: str
self.vm_id... | Proxmox VE QEMU data update coordinator. | ProxmoxQEMUCoordinator | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProxmoxQEMUCoordinator:
"""Proxmox VE QEMU data update coordinator."""
def __init__(self, hass: HomeAssistant, proxmox: ProxmoxAPI, host_name: str, qemu_id: int) -> None:
"""Initialize the Proxmox QEMU coordinator."""
<|body_0|>
async def _async_update_data(self) -> Prox... | stack_v2_sparse_classes_36k_train_022609 | 15,228 | permissive | [
{
"docstring": "Initialize the Proxmox QEMU coordinator.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, proxmox: ProxmoxAPI, host_name: str, qemu_id: int) -> None"
},
{
"docstring": "Update data for Proxmox QEMU.",
"name": "_async_update_data",
"signature": "... | 2 | null | Implement the Python class `ProxmoxQEMUCoordinator` described below.
Class description:
Proxmox VE QEMU data update coordinator.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, proxmox: ProxmoxAPI, host_name: str, qemu_id: int) -> None: Initialize the Proxmox QEMU coordinator.
- async def ... | Implement the Python class `ProxmoxQEMUCoordinator` described below.
Class description:
Proxmox VE QEMU data update coordinator.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, proxmox: ProxmoxAPI, host_name: str, qemu_id: int) -> None: Initialize the Proxmox QEMU coordinator.
- async def ... | 8548d9999ddd54f13d6a307e013abcb8c897a74e | <|skeleton|>
class ProxmoxQEMUCoordinator:
"""Proxmox VE QEMU data update coordinator."""
def __init__(self, hass: HomeAssistant, proxmox: ProxmoxAPI, host_name: str, qemu_id: int) -> None:
"""Initialize the Proxmox QEMU coordinator."""
<|body_0|>
async def _async_update_data(self) -> Prox... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProxmoxQEMUCoordinator:
"""Proxmox VE QEMU data update coordinator."""
def __init__(self, hass: HomeAssistant, proxmox: ProxmoxAPI, host_name: str, qemu_id: int) -> None:
"""Initialize the Proxmox QEMU coordinator."""
super().__init__(hass, LOGGER, name=f'proxmox_coordinator_{host_name}_{... | the_stack_v2_python_sparse | custom_components/proxmoxve/coordinator.py | bacco007/HomeAssistantConfig | train | 98 |
44ea795864673761fd463e40f0c9b58c594c0631 | [
"self.dim = dim\nself.palette = palette\nself.sin = sin\nself.width = dim[0]\nself.height = dim[1]\nself.pixel_surface = pygame.Surface((dim[0] * 2, dim[1] * 2))\nfor y in range(self.pixel_surface.get_height()):\n for x in range(self.pixel_surface.get_width()):\n value = 128 + int(127 * sin[y % 360] * sin... | <|body_start_0|>
self.dim = dim
self.palette = palette
self.sin = sin
self.width = dim[0]
self.height = dim[1]
self.pixel_surface = pygame.Surface((dim[0] * 2, dim[1] * 2))
for y in range(self.pixel_surface.get_height()):
for x in range(self.pixel_surf... | interfering colors | ColorInterference | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ColorInterference:
"""interfering colors"""
def __init__(self, dim, palette=PALETTE, sin=SIN):
"""(pygame.Surface) surface - surface to draw on"""
<|body_0|>
def update(self):
"""blit on background surface"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_022610 | 5,041 | no_license | [
{
"docstring": "(pygame.Surface) surface - surface to draw on",
"name": "__init__",
"signature": "def __init__(self, dim, palette=PALETTE, sin=SIN)"
},
{
"docstring": "blit on background surface",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005532 | Implement the Python class `ColorInterference` described below.
Class description:
interfering colors
Method signatures and docstrings:
- def __init__(self, dim, palette=PALETTE, sin=SIN): (pygame.Surface) surface - surface to draw on
- def update(self): blit on background surface | Implement the Python class `ColorInterference` described below.
Class description:
interfering colors
Method signatures and docstrings:
- def __init__(self, dim, palette=PALETTE, sin=SIN): (pygame.Surface) surface - surface to draw on
- def update(self): blit on background surface
<|skeleton|>
class ColorInterferenc... | 1fd421195a2888c0588a49f5a043a1110eedcdbf | <|skeleton|>
class ColorInterference:
"""interfering colors"""
def __init__(self, dim, palette=PALETTE, sin=SIN):
"""(pygame.Surface) surface - surface to draw on"""
<|body_0|>
def update(self):
"""blit on background surface"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ColorInterference:
"""interfering colors"""
def __init__(self, dim, palette=PALETTE, sin=SIN):
"""(pygame.Surface) surface - surface to draw on"""
self.dim = dim
self.palette = palette
self.sin = sin
self.width = dim[0]
self.height = dim[1]
self.pix... | the_stack_v2_python_sparse | effects/Interference.py | gunny26/pygame | train | 5 |
24c93d0875499ccd87866cba9c88aee62cff2894 | [
"super().__init__(**kwargs)\nif preserve_dims <= 0:\n raise ValueError('Argument preserve_dims should be >= 1.')\nif output_shape.count(-1) > 1:\n raise ValueError('-1 can only occur once in `output_shape`.')\nself.output_shape = tuple(output_shape)\nself.preserve_dims = preserve_dims",
"if inputs.ndim <= s... | <|body_start_0|>
super().__init__(**kwargs)
if preserve_dims <= 0:
raise ValueError('Argument preserve_dims should be >= 1.')
if output_shape.count(-1) > 1:
raise ValueError('-1 can only occur once in `output_shape`.')
self.output_shape = tuple(output_shape)
... | Reshapes input Tensor, preserving the batch dimension. For example, given an input tensor with shape `[B, H, W, C, D]`: ```python B, H, W, C, D = range(1, 6) x = jnp.ones([B, H, W, C, D]) ``` The default behavior when `output_shape` is `(-1, D)` is to flatten all dimensions between `B` and `D`: ```python mod = elegy.nn... | Reshape | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Reshape:
"""Reshapes input Tensor, preserving the batch dimension. For example, given an input tensor with shape `[B, H, W, C, D]`: ```python B, H, W, C, D = range(1, 6) x = jnp.ones([B, H, W, C, D]) ``` The default behavior when `output_shape` is `(-1, D)` is to flatten all dimensions between `B... | stack_v2_sparse_classes_36k_train_022611 | 4,093 | permissive | [
{
"docstring": "Constructs a `Reshape` module. Args: output_shape: Shape to reshape the input tensor to while preserving its first `preserve_dims` dimensions. When the special value -1 appears in `output_shape` the corresponding size is automatically inferred. Note that -1 can only appear once in `output_shape`... | 2 | stack_v2_sparse_classes_30k_train_016669 | Implement the Python class `Reshape` described below.
Class description:
Reshapes input Tensor, preserving the batch dimension. For example, given an input tensor with shape `[B, H, W, C, D]`: ```python B, H, W, C, D = range(1, 6) x = jnp.ones([B, H, W, C, D]) ``` The default behavior when `output_shape` is `(-1, D)` ... | Implement the Python class `Reshape` described below.
Class description:
Reshapes input Tensor, preserving the batch dimension. For example, given an input tensor with shape `[B, H, W, C, D]`: ```python B, H, W, C, D = range(1, 6) x = jnp.ones([B, H, W, C, D]) ``` The default behavior when `output_shape` is `(-1, D)` ... | 3494cc7d495198f4c383d3560ea05df65bb669ff | <|skeleton|>
class Reshape:
"""Reshapes input Tensor, preserving the batch dimension. For example, given an input tensor with shape `[B, H, W, C, D]`: ```python B, H, W, C, D = range(1, 6) x = jnp.ones([B, H, W, C, D]) ``` The default behavior when `output_shape` is `(-1, D)` is to flatten all dimensions between `B... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Reshape:
"""Reshapes input Tensor, preserving the batch dimension. For example, given an input tensor with shape `[B, H, W, C, D]`: ```python B, H, W, C, D = range(1, 6) x = jnp.ones([B, H, W, C, D]) ``` The default behavior when `output_shape` is `(-1, D)` is to flatten all dimensions between `B` and `D`: ``... | the_stack_v2_python_sparse | elegy/nn/flatten.py | cgarciae/elegy | train | 1 |
ebf37d5b11aa0bbedc85cdbd4d6eddc8c656c46e | [
"if type(dateTime) == datetime.datetime:\n return dateTime.isoformat()\nraise ValueError('dateTime value must be a datetime.datetime instance')",
"if type(date) == datetime.date:\n return date.strftime('%m%Y')\nraise ValueError('date value must be a datetime.date instance')",
"if amount is None or amount ... | <|body_start_0|>
if type(dateTime) == datetime.datetime:
return dateTime.isoformat()
raise ValueError('dateTime value must be a datetime.datetime instance')
<|end_body_0|>
<|body_start_1|>
if type(date) == datetime.date:
return date.strftime('%m%Y')
raise ValueEr... | Converts fields to the paypal required format. | FormatFields | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FormatFields:
"""Converts fields to the paypal required format."""
def get_datetime_field(self, dateTime):
"""This method is used inside main classes, if any classes needs date argument you can use Python datetime.datetime. In short - you will not need to use this method. Paypal need... | stack_v2_sparse_classes_36k_train_022612 | 3,991 | no_license | [
{
"docstring": "This method is used inside main classes, if any classes needs date argument you can use Python datetime.datetime. In short - you will not need to use this method. Paypal needs Coordinated Universal Time (UTC/GMT), using ISO 8601 format, and of type ns:dateTime for Date/Time formats. An example d... | 3 | stack_v2_sparse_classes_30k_train_018093 | Implement the Python class `FormatFields` described below.
Class description:
Converts fields to the paypal required format.
Method signatures and docstrings:
- def get_datetime_field(self, dateTime): This method is used inside main classes, if any classes needs date argument you can use Python datetime.datetime. In ... | Implement the Python class `FormatFields` described below.
Class description:
Converts fields to the paypal required format.
Method signatures and docstrings:
- def get_datetime_field(self, dateTime): This method is used inside main classes, if any classes needs date argument you can use Python datetime.datetime. In ... | 36573ab5b9ee305679ceba097b2953f52be670e4 | <|skeleton|>
class FormatFields:
"""Converts fields to the paypal required format."""
def get_datetime_field(self, dateTime):
"""This method is used inside main classes, if any classes needs date argument you can use Python datetime.datetime. In short - you will not need to use this method. Paypal need... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FormatFields:
"""Converts fields to the paypal required format."""
def get_datetime_field(self, dateTime):
"""This method is used inside main classes, if any classes needs date argument you can use Python datetime.datetime. In short - you will not need to use this method. Paypal needs Coordinated... | the_stack_v2_python_sparse | modules/paypalnvp/util.py | acidjunk/web2py-paypal | train | 2 |
77ee5f94df8b4f32597096daf0a2c5715d48c3f6 | [
"result = []\nothers = [\"'s\", 'the', 'that', 'this', 'to', '-PRON-']\nfor sent in text:\n sent = str(sent).lower()\n sent = re.sub('facebook', 'social media', sent)\n sent = re.sub('twitter', 'social media', sent)\n sent = re.sub('instagram', 'social media', sent)\n sent = re.sub('whatsapp', 'socia... | <|body_start_0|>
result = []
others = ["'s", 'the', 'that', 'this', 'to', '-PRON-']
for sent in text:
sent = str(sent).lower()
sent = re.sub('facebook', 'social media', sent)
sent = re.sub('twitter', 'social media', sent)
sent = re.sub('instagram',... | Preprocessing | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Preprocessing:
def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE']):
"""Function that identify sensible information, anonymize and transforms the data in a useful format fo... | stack_v2_sparse_classes_36k_train_022613 | 5,915 | permissive | [
{
"docstring": "Function that identify sensible information, anonymize and transforms the data in a useful format for using with tokens. Parameters ------------- text : (list) the list of text to be preprocessed irrelevant_pos : (list) a list of irrelevant 'pos' tags avoid_entities : (list) a list of entity lab... | 2 | stack_v2_sparse_classes_30k_train_006777 | Implement the Python class `Preprocessing` described below.
Class description:
Implement the Preprocessing class.
Method signatures and docstrings:
- def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE'])... | Implement the Python class `Preprocessing` described below.
Class description:
Implement the Preprocessing class.
Method signatures and docstrings:
- def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE'])... | 3a83cb05c0157639e84b1936a9b5656ae6b50e46 | <|skeleton|>
class Preprocessing:
def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE']):
"""Function that identify sensible information, anonymize and transforms the data in a useful format fo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Preprocessing:
def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE']):
"""Function that identify sensible information, anonymize and transforms the data in a useful format for using with t... | the_stack_v2_python_sparse | src/data/preprocess.py | Sukriti1312/UBC_MDS_Capstone | train | 0 | |
dce08be06260952a4eaf3364f8e2eefc5df1ee28 | [
"if not heights:\n return 0\narea_to_right, area_to_left = ([0] * len(heights), [0] * len(heights))\nstack = [(-1, 0)]\nfor idx, height in enumerate(heights + [0]):\n while height < stack[-1][1]:\n l, h = stack.pop()\n area_to_right[l] = (idx - l) * h\n stack.append((idx, height))\nstack = [(... | <|body_start_0|>
if not heights:
return 0
area_to_right, area_to_left = ([0] * len(heights), [0] * len(heights))
stack = [(-1, 0)]
for idx, height in enumerate(heights + [0]):
while height < stack[-1][1]:
l, h = stack.pop()
area_to_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_0|>
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not heights:... | stack_v2_sparse_classes_36k_train_022614 | 1,859 | no_license | [
{
"docstring": ":type heights: List[int] :rtype: int",
"name": "largestRectangleArea",
"signature": "def largestRectangleArea(self, heights)"
},
{
"docstring": ":type matrix: List[List[str]] :rtype: int",
"name": "maximalRectangle",
"signature": "def maximalRectangle(self, matrix)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003144 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int
<|skeleton|>
class ... | 64b9e452371d989f6061d89c6b96af2ba7fe5990 | <|skeleton|>
class Solution:
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_0|>
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
if not heights:
return 0
area_to_right, area_to_left = ([0] * len(heights), [0] * len(heights))
stack = [(-1, 0)]
for idx, height in enumerate(heights + [0]):
... | the_stack_v2_python_sparse | 51-100/85.py | hurenjun/LeetCode | train | 1 | |
2ffc85f667416e90328724a38c88dfb47342715a | [
"self.auth = auth\nself._group = group\nself._overall_situation = True if not group else False",
"with connection.cursor() as cursor:\n cursor.execute(f'\\n SELECT makeup.face_uuid \\n FROM faceU_faceufacialmakeupmapping AS mapping \\n JOIN faceU_faceufacialmakeup A... | <|body_start_0|>
self.auth = auth
self._group = group
self._overall_situation = True if not group else False
<|end_body_0|>
<|body_start_1|>
with connection.cursor() as cursor:
cursor.execute(f'\n SELECT makeup.face_uuid \n FROM faceU_faceufacia... | FaceUDistinguishLogic | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FaceUDistinguishLogic:
def __init__(self, auth, group=0):
"""人脸识别逻辑 :param auth: :param group:"""
<|body_0|>
def to_face_uuid(self):
"""获取分组或全局成员脸谱uuid :return:"""
<|body_1|>
def from_face_uuid(self, face_uuid):
"""从uuid获取成员信息 :param face_uuid: :... | stack_v2_sparse_classes_36k_train_022615 | 1,765 | no_license | [
{
"docstring": "人脸识别逻辑 :param auth: :param group:",
"name": "__init__",
"signature": "def __init__(self, auth, group=0)"
},
{
"docstring": "获取分组或全局成员脸谱uuid :return:",
"name": "to_face_uuid",
"signature": "def to_face_uuid(self)"
},
{
"docstring": "从uuid获取成员信息 :param face_uuid: :r... | 3 | stack_v2_sparse_classes_30k_train_004620 | Implement the Python class `FaceUDistinguishLogic` described below.
Class description:
Implement the FaceUDistinguishLogic class.
Method signatures and docstrings:
- def __init__(self, auth, group=0): 人脸识别逻辑 :param auth: :param group:
- def to_face_uuid(self): 获取分组或全局成员脸谱uuid :return:
- def from_face_uuid(self, face_... | Implement the Python class `FaceUDistinguishLogic` described below.
Class description:
Implement the FaceUDistinguishLogic class.
Method signatures and docstrings:
- def __init__(self, auth, group=0): 人脸识别逻辑 :param auth: :param group:
- def to_face_uuid(self): 获取分组或全局成员脸谱uuid :return:
- def from_face_uuid(self, face_... | 7467cd66e1fc91f0b3a264f8fc9b93f22f09fe7b | <|skeleton|>
class FaceUDistinguishLogic:
def __init__(self, auth, group=0):
"""人脸识别逻辑 :param auth: :param group:"""
<|body_0|>
def to_face_uuid(self):
"""获取分组或全局成员脸谱uuid :return:"""
<|body_1|>
def from_face_uuid(self, face_uuid):
"""从uuid获取成员信息 :param face_uuid: :... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FaceUDistinguishLogic:
def __init__(self, auth, group=0):
"""人脸识别逻辑 :param auth: :param group:"""
self.auth = auth
self._group = group
self._overall_situation = True if not group else False
def to_face_uuid(self):
"""获取分组或全局成员脸谱uuid :return:"""
with connect... | the_stack_v2_python_sparse | FireHydrant/server/faceU/logic/distinguish.py | shoogoome/FireHydrant | train | 4 | |
f4ce8677448eb71d27f82f1ae215dbb98e1dee79 | [
"if isinstance(pattern, str):\n self.pattern = re.compile(pattern)\nelse:\n self.pattern = pattern\nself.optimistic = optimistic\nself._count = count\nself._period = period\nself._actual_usage = 0\nself._next_flush = None",
"now = time()\nif self._next_flush is None:\n self._next_flush = now + self._peri... | <|body_start_0|>
if isinstance(pattern, str):
self.pattern = re.compile(pattern)
else:
self.pattern = pattern
self.optimistic = optimistic
self._count = count
self._period = period
self._actual_usage = 0
self._next_flush = None
<|end_body_0... | RequestRate | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RequestRate:
def __init__(self, count: int, period: int, pattern=None, optimistic: bool=False):
""":param count: How many requests per period are allowed. If the request rate is 10 requests per minute than count=10 with period=60. :param period: How many seconds between each cycle. If th... | stack_v2_sparse_classes_36k_train_022616 | 1,882 | permissive | [
{
"docstring": ":param count: How many requests per period are allowed. If the request rate is 10 requests per minute than count=10 with period=60. :param period: How many seconds between each cycle. If the request rate is 10 requests per minute than the period is 60. :param pattern: A pattern to match against ... | 2 | stack_v2_sparse_classes_30k_train_009130 | Implement the Python class `RequestRate` described below.
Class description:
Implement the RequestRate class.
Method signatures and docstrings:
- def __init__(self, count: int, period: int, pattern=None, optimistic: bool=False): :param count: How many requests per period are allowed. If the request rate is 10 request... | Implement the Python class `RequestRate` described below.
Class description:
Implement the RequestRate class.
Method signatures and docstrings:
- def __init__(self, count: int, period: int, pattern=None, optimistic: bool=False): :param count: How many requests per period are allowed. If the request rate is 10 request... | 345e5325f76c3d1e9e2c23e499e7ec2f1383252b | <|skeleton|>
class RequestRate:
def __init__(self, count: int, period: int, pattern=None, optimistic: bool=False):
""":param count: How many requests per period are allowed. If the request rate is 10 requests per minute than count=10 with period=60. :param period: How many seconds between each cycle. If th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RequestRate:
def __init__(self, count: int, period: int, pattern=None, optimistic: bool=False):
""":param count: How many requests per period are allowed. If the request rate is 10 requests per minute than count=10 with period=60. :param period: How many seconds between each cycle. If the request rate... | the_stack_v2_python_sparse | vibora/client/limits.py | PranayJain/vibora | train | 0 | |
3812656732651614bf1c775f7c0a756ecf21571b | [
"if type(metrics) == list:\n metrics = [m + '@' + str(n) for m in metrics for n in n_ranks]\nsuper(DiversityEvaluation, self).__init__(sep=sep, metrics=metrics, all_but_one_eval=all_but_one_eval, verbose=verbose, as_table=as_table, table_sep=table_sep)\nself.n_ranks = n_ranks",
"eval_results = {}\nnum_user = l... | <|body_start_0|>
if type(metrics) == list:
metrics = [m + '@' + str(n) for m in metrics for n in n_ranks]
super(DiversityEvaluation, self).__init__(sep=sep, metrics=metrics, all_but_one_eval=all_but_one_eval, verbose=verbose, as_table=as_table, table_sep=table_sep)
self.n_ranks = n_r... | DiversityEvaluation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DiversityEvaluation:
def __init__(self, sep='\t', n_ranks=list([1, 3, 5, 10]), metrics=list(['GENRE_COVERAGE', 'GENRE_REDUNDANCY', 'ILD_GENRE']), all_but_one_eval=False, verbose=True, as_table=False, table_sep='\t'):
"""Class to evaluate predictions in a item recommendation (ranking) sce... | stack_v2_sparse_classes_36k_train_022617 | 14,557 | no_license | [
{
"docstring": "Class to evaluate predictions in a item recommendation (ranking) scenario :param sep: Delimiter for input files :type sep: str, default ' ' :param n_ranks: List of positions to evaluate the ranking :type n_ranks: list, default [1, 3, 5, 10] :param metrics: List of evaluation metrics :type metric... | 2 | stack_v2_sparse_classes_30k_val_000148 | Implement the Python class `DiversityEvaluation` described below.
Class description:
Implement the DiversityEvaluation class.
Method signatures and docstrings:
- def __init__(self, sep='\t', n_ranks=list([1, 3, 5, 10]), metrics=list(['GENRE_COVERAGE', 'GENRE_REDUNDANCY', 'ILD_GENRE']), all_but_one_eval=False, verbose... | Implement the Python class `DiversityEvaluation` described below.
Class description:
Implement the DiversityEvaluation class.
Method signatures and docstrings:
- def __init__(self, sep='\t', n_ranks=list([1, 3, 5, 10]), metrics=list(['GENRE_COVERAGE', 'GENRE_REDUNDANCY', 'ILD_GENRE']), all_but_one_eval=False, verbose... | b5f870abbe5b5e4311e8f22370af487d2570d9b6 | <|skeleton|>
class DiversityEvaluation:
def __init__(self, sep='\t', n_ranks=list([1, 3, 5, 10]), metrics=list(['GENRE_COVERAGE', 'GENRE_REDUNDANCY', 'ILD_GENRE']), all_but_one_eval=False, verbose=True, as_table=False, table_sep='\t'):
"""Class to evaluate predictions in a item recommendation (ranking) sce... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DiversityEvaluation:
def __init__(self, sep='\t', n_ranks=list([1, 3, 5, 10]), metrics=list(['GENRE_COVERAGE', 'GENRE_REDUNDANCY', 'ILD_GENRE']), all_but_one_eval=False, verbose=True, as_table=False, table_sep='\t'):
"""Class to evaluate predictions in a item recommendation (ranking) scenario :param s... | the_stack_v2_python_sparse | evaluation/diversity_evaluation.py | juarezsacenti/kg-summ-rec | train | 1 | |
0f6b7d1c823356ec6c03f157a711a2d26bc7a735 | [
"if not quota_max_calls:\n use_rate_limiter = False\nself._billing_accounts = None\nself._projects = None\nsuper(CloudBillingRepositoryClient, self).__init__(API_NAME, versions=['v1'], quota_max_calls=quota_max_calls, quota_period=quota_period, use_rate_limiter=use_rate_limiter)",
"if not self._billing_account... | <|body_start_0|>
if not quota_max_calls:
use_rate_limiter = False
self._billing_accounts = None
self._projects = None
super(CloudBillingRepositoryClient, self).__init__(API_NAME, versions=['v1'], quota_max_calls=quota_max_calls, quota_period=quota_period, use_rate_limiter=use... | Cloud Billing API Respository. | CloudBillingRepositoryClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloudBillingRepositoryClient:
"""Cloud Billing API Respository."""
def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period t... | stack_v2_sparse_classes_36k_train_022618 | 10,503 | permissive | [
{
"docstring": "Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track requests over. use_rate_limiter (bool): Set to false to disable the use of a rate limiter for this service.",
"name": "__init__",
"signature": "def __... | 3 | stack_v2_sparse_classes_30k_train_007591 | Implement the Python class `CloudBillingRepositoryClient` described below.
Class description:
Cloud Billing API Respository.
Method signatures and docstrings:
- def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True): Constructor. Args: quota_max_calls (int): Allowed requests per <quota_per... | Implement the Python class `CloudBillingRepositoryClient` described below.
Class description:
Cloud Billing API Respository.
Method signatures and docstrings:
- def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True): Constructor. Args: quota_max_calls (int): Allowed requests per <quota_per... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class CloudBillingRepositoryClient:
"""Cloud Billing API Respository."""
def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CloudBillingRepositoryClient:
"""Cloud Billing API Respository."""
def __init__(self, quota_max_calls=None, quota_period=60.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track reque... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_api/cloudbilling.py | kevensen/forseti-security | train | 1 |
9702d42418b855b14e020ad1874da9f9f89b65d9 | [
"self.A = np.mat(A)\nself.B = np.mat(B)\nself.Q = np.mat(Q)\nself.R = np.mat(R)\nF = self.dlqr(A, B, Q, R, **kwargs)\nsuper(LQRController, self).__init__(A, B, F, **kwargs)",
"if Q_f == None:\n Q_f = Q\nif T < np.inf:\n K = [None] * T\n P = Q_f\n for t in range(0, T - 1)[::-1]:\n K[t] = (R + B.... | <|body_start_0|>
self.A = np.mat(A)
self.B = np.mat(B)
self.Q = np.mat(Q)
self.R = np.mat(R)
F = self.dlqr(A, B, Q, R, **kwargs)
super(LQRController, self).__init__(A, B, F, **kwargs)
<|end_body_0|>
<|body_start_1|>
if Q_f == None:
Q_f = Q
if ... | Linear feedback controller where control gains are set by optimizing a quadratic cost function | LQRController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LQRController:
"""Linear feedback controller where control gains are set by optimizing a quadratic cost function"""
def __init__(self, A, B, Q, R, **kwargs):
"""Constructor for LQRController The system should evolve as $$x_{t+1} = Ax_t + Bu_t + w_t; w_t ~ N(0, W)$$ with infinite hori... | stack_v2_sparse_classes_36k_train_022619 | 12,992 | permissive | [
{
"docstring": "Constructor for LQRController The system should evolve as $$x_{t+1} = Ax_t + Bu_t + w_t; w_t ~ N(0, W)$$ with infinite horizon cost $$\\\\sum{t=0}^{+\\\\infty} (x_t - x_target)^T * Q * (x_t - x_target) + u_t^T * R * u_t$$ Parameters ---------- A: np.ndarray of shape (n_states, n_states) Model of... | 2 | null | Implement the Python class `LQRController` described below.
Class description:
Linear feedback controller where control gains are set by optimizing a quadratic cost function
Method signatures and docstrings:
- def __init__(self, A, B, Q, R, **kwargs): Constructor for LQRController The system should evolve as $$x_{t+1... | Implement the Python class `LQRController` described below.
Class description:
Linear feedback controller where control gains are set by optimizing a quadratic cost function
Method signatures and docstrings:
- def __init__(self, A, B, Q, R, **kwargs): Constructor for LQRController The system should evolve as $$x_{t+1... | a0e296aa663b49e767c9ebb274defb54b301eb12 | <|skeleton|>
class LQRController:
"""Linear feedback controller where control gains are set by optimizing a quadratic cost function"""
def __init__(self, A, B, Q, R, **kwargs):
"""Constructor for LQRController The system should evolve as $$x_{t+1} = Ax_t + Bu_t + w_t; w_t ~ N(0, W)$$ with infinite hori... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LQRController:
"""Linear feedback controller where control gains are set by optimizing a quadratic cost function"""
def __init__(self, A, B, Q, R, **kwargs):
"""Constructor for LQRController The system should evolve as $$x_{t+1} = Ax_t + Bu_t + w_t; w_t ~ N(0, W)$$ with infinite horizon cost $$\\... | the_stack_v2_python_sparse | riglib/bmi/feedback_controllers.py | carmenalab/brain-python-interface | train | 9 |
bb5e6e69e4e827c119ea558e158e008c2a3c1019 | [
"subject = smart_text(self.subject)\nmessage = self.message\nhtml_message = self.html_message\nif html_message:\n msg = EmailMultiAlternatives(subject=subject, body=message, from_email=settings.DEFAULT_FROM_EMAIL, to=[self.to], connection=connection)\n msg.attach_alternative(html_message, 'text/html')\nelse:\... | <|body_start_0|>
subject = smart_text(self.subject)
message = self.message
html_message = self.html_message
if html_message:
msg = EmailMultiAlternatives(subject=subject, body=message, from_email=settings.DEFAULT_FROM_EMAIL, to=[self.to], connection=connection)
ms... | EmailNotification | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailNotification:
def email_message(self, connection=None):
"""Returns a django ``EmailMessage`` or ``EmailMultiAlternatives`` object depending on whether html_message is empty."""
<|body_0|>
def send(self):
"""Caller should catch all exceptions :return:"""
... | stack_v2_sparse_classes_36k_train_022620 | 3,621 | no_license | [
{
"docstring": "Returns a django ``EmailMessage`` or ``EmailMultiAlternatives`` object depending on whether html_message is empty.",
"name": "email_message",
"signature": "def email_message(self, connection=None)"
},
{
"docstring": "Caller should catch all exceptions :return:",
"name": "send... | 2 | stack_v2_sparse_classes_30k_train_019862 | Implement the Python class `EmailNotification` described below.
Class description:
Implement the EmailNotification class.
Method signatures and docstrings:
- def email_message(self, connection=None): Returns a django ``EmailMessage`` or ``EmailMultiAlternatives`` object depending on whether html_message is empty.
- d... | Implement the Python class `EmailNotification` described below.
Class description:
Implement the EmailNotification class.
Method signatures and docstrings:
- def email_message(self, connection=None): Returns a django ``EmailMessage`` or ``EmailMultiAlternatives`` object depending on whether html_message is empty.
- d... | f29e802338e5ddcf18beb708c0858eb842a5dbd4 | <|skeleton|>
class EmailNotification:
def email_message(self, connection=None):
"""Returns a django ``EmailMessage`` or ``EmailMultiAlternatives`` object depending on whether html_message is empty."""
<|body_0|>
def send(self):
"""Caller should catch all exceptions :return:"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmailNotification:
def email_message(self, connection=None):
"""Returns a django ``EmailMessage`` or ``EmailMultiAlternatives`` object depending on whether html_message is empty."""
subject = smart_text(self.subject)
message = self.message
html_message = self.html_message
... | the_stack_v2_python_sparse | pl_notifications/models/emails.py | exister/python_code_sample | train | 0 | |
807d1d275f98b609e5f1e6bfbff3b89e97c04066 | [
"if temperature < 1 or temperature > 37:\n raise DITTE(DITTE.CELSIUS, temperature)\nreturn str(round((temperature + 273) * 10))",
"if temperature < 34 or temperature > 98:\n raise DITTE(DITTE.FAHRENHEIT, temperature)\nreturn str(int((int(temperature) + 459.67) * 5 / 9) * 10)"
] | <|body_start_0|>
if temperature < 1 or temperature > 37:
raise DITTE(DITTE.CELSIUS, temperature)
return str(round((temperature + 273) * 10))
<|end_body_0|>
<|body_start_1|>
if temperature < 34 or temperature > 98:
raise DITTE(DITTE.FAHRENHEIT, temperature)
return... | Heat Target for fan. Note dyson uses kelvin as the temperature unit. | HeatTarget | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HeatTarget:
"""Heat Target for fan. Note dyson uses kelvin as the temperature unit."""
def celsius(temperature):
"""Convert the given int celsius temperature to string in Kelvin. :param temperature temperature in celsius between 1 to 37 inclusive."""
<|body_0|>
def fahre... | stack_v2_sparse_classes_36k_train_022621 | 4,224 | permissive | [
{
"docstring": "Convert the given int celsius temperature to string in Kelvin. :param temperature temperature in celsius between 1 to 37 inclusive.",
"name": "celsius",
"signature": "def celsius(temperature)"
},
{
"docstring": "Convert the given int fahrenheit temperature to string in Kelvin. :p... | 2 | stack_v2_sparse_classes_30k_train_008500 | Implement the Python class `HeatTarget` described below.
Class description:
Heat Target for fan. Note dyson uses kelvin as the temperature unit.
Method signatures and docstrings:
- def celsius(temperature): Convert the given int celsius temperature to string in Kelvin. :param temperature temperature in celsius betwee... | Implement the Python class `HeatTarget` described below.
Class description:
Heat Target for fan. Note dyson uses kelvin as the temperature unit.
Method signatures and docstrings:
- def celsius(temperature): Convert the given int celsius temperature to string in Kelvin. :param temperature temperature in celsius betwee... | 5f0caec1a1678b9c9fc1a99b000bb320ee3f3ae2 | <|skeleton|>
class HeatTarget:
"""Heat Target for fan. Note dyson uses kelvin as the temperature unit."""
def celsius(temperature):
"""Convert the given int celsius temperature to string in Kelvin. :param temperature temperature in celsius between 1 to 37 inclusive."""
<|body_0|>
def fahre... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HeatTarget:
"""Heat Target for fan. Note dyson uses kelvin as the temperature unit."""
def celsius(temperature):
"""Convert the given int celsius temperature to string in Kelvin. :param temperature temperature in celsius between 1 to 37 inclusive."""
if temperature < 1 or temperature > 37... | the_stack_v2_python_sparse | libpurecool/const.py | googanhiem/libpurecool | train | 1 |
9a51169e250a5fea886104e52d439cea4e719744 | [
"self.desc_ctx = {'main_filter': _('All pages'), 'title_filter': ''}\nqueryset = self.model.objects.all().order_by('title')\nself.form = self.form_class(self.request.GET)\nif not self.form.is_valid():\n return queryset\ndata = self.form.cleaned_data\nif data['title']:\n queryset = queryset.filter(title__icont... | <|body_start_0|>
self.desc_ctx = {'main_filter': _('All pages'), 'title_filter': ''}
queryset = self.model.objects.all().order_by('title')
self.form = self.form_class(self.request.GET)
if not self.form.is_valid():
return queryset
data = self.form.cleaned_data
... | View for listing all existing flatpages. | PageListView | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PageListView:
"""View for listing all existing flatpages."""
def get_queryset(self):
"""Get queryset of all flatpages to be displayed. If a search term is specified in the search form, it will be used to filter the queryset."""
<|body_0|>
def get_context_data(self, **kwa... | stack_v2_sparse_classes_36k_train_022622 | 4,524 | permissive | [
{
"docstring": "Get queryset of all flatpages to be displayed. If a search term is specified in the search form, it will be used to filter the queryset.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "Get context data with *form* and *queryset_description* data... | 2 | null | Implement the Python class `PageListView` described below.
Class description:
View for listing all existing flatpages.
Method signatures and docstrings:
- def get_queryset(self): Get queryset of all flatpages to be displayed. If a search term is specified in the search form, it will be used to filter the queryset.
- ... | Implement the Python class `PageListView` described below.
Class description:
View for listing all existing flatpages.
Method signatures and docstrings:
- def get_queryset(self): Get queryset of all flatpages to be displayed. If a search term is specified in the search form, it will be used to filter the queryset.
- ... | 5edac196f41f8cc97f8a07f7579f1041db2a02af | <|skeleton|>
class PageListView:
"""View for listing all existing flatpages."""
def get_queryset(self):
"""Get queryset of all flatpages to be displayed. If a search term is specified in the search form, it will be used to filter the queryset."""
<|body_0|>
def get_context_data(self, **kwa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PageListView:
"""View for listing all existing flatpages."""
def get_queryset(self):
"""Get queryset of all flatpages to be displayed. If a search term is specified in the search form, it will be used to filter the queryset."""
self.desc_ctx = {'main_filter': _('All pages'), 'title_filter... | the_stack_v2_python_sparse | src/oscar/apps/dashboard/pages/views.py | django-oscar/django-oscar | train | 5,320 |
695cee99cf12c7c750bdd02cbb215e58afb2e2f2 | [
"super().__init__()\nself.conv1 = conv3x3(inplanes, planes, stride, n_dim=n_dim)\nself.bn1 = NormNdTorch(norm_layer, n_dim, planes)\nself.relu = torch.nn.ReLU(inplace=True)\nself.conv2 = conv3x3(planes, planes, n_dim=n_dim)\nself.bn2 = NormNdTorch(norm_layer, n_dim, planes)\nself.downsample = downsample\nself.strid... | <|body_start_0|>
super().__init__()
self.conv1 = conv3x3(inplanes, planes, stride, n_dim=n_dim)
self.bn1 = NormNdTorch(norm_layer, n_dim, planes)
self.relu = torch.nn.ReLU(inplace=True)
self.conv2 = conv3x3(planes, planes, n_dim=n_dim)
self.bn2 = NormNdTorch(norm_layer, n... | SEBasicBlockTorch | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SEBasicBlockTorch:
def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer='Batch', n_dim=2, reduction=16):
"""Squeeze and Excitation Basic ResNet block Parameters ---------- inplanes : int number of input channels planes : int number of intermediate channels stride : ... | stack_v2_sparse_classes_36k_train_022623 | 8,979 | permissive | [
{
"docstring": "Squeeze and Excitation Basic ResNet block Parameters ---------- inplanes : int number of input channels planes : int number of intermediate channels stride : int or tuple stride of first convolution downsample : nn.Module downsampling in residual path norm_layer : str type of normalisation layer... | 2 | stack_v2_sparse_classes_30k_train_005548 | Implement the Python class `SEBasicBlockTorch` described below.
Class description:
Implement the SEBasicBlockTorch class.
Method signatures and docstrings:
- def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer='Batch', n_dim=2, reduction=16): Squeeze and Excitation Basic ResNet block Parameters... | Implement the Python class `SEBasicBlockTorch` described below.
Class description:
Implement the SEBasicBlockTorch class.
Method signatures and docstrings:
- def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer='Batch', n_dim=2, reduction=16): Squeeze and Excitation Basic ResNet block Parameters... | d944aa67d319bd63a2add5cb89e8308413943de6 | <|skeleton|>
class SEBasicBlockTorch:
def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer='Batch', n_dim=2, reduction=16):
"""Squeeze and Excitation Basic ResNet block Parameters ---------- inplanes : int number of input channels planes : int number of intermediate channels stride : ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SEBasicBlockTorch:
def __init__(self, inplanes, planes, stride=1, downsample=None, norm_layer='Batch', n_dim=2, reduction=16):
"""Squeeze and Excitation Basic ResNet block Parameters ---------- inplanes : int number of input channels planes : int number of intermediate channels stride : int or tuple s... | the_stack_v2_python_sparse | deliravision/torch/models/backbones/seblocks.py | delira-dev/vision_torch | train | 5 | |
a974eccb8e1e0d44c9cfa0b1cb7e0525cab54c81 | [
"if 'L' not in problem_params:\n problem_params['L'] = 1.0\nif 'init_type' not in problem_params:\n problem_params['init_type'] = 'circle'\nessential_keys = ['nvars', 'a', 'kappa', 'rest', 'thresh', 'depol', 'init_type', 'eps']\nfor key in essential_keys:\n if key not in problem_params:\n msg = 'nee... | <|body_start_0|>
if 'L' not in problem_params:
problem_params['L'] = 1.0
if 'init_type' not in problem_params:
problem_params['init_type'] = 'circle'
essential_keys = ['nvars', 'a', 'kappa', 'rest', 'thresh', 'depol', 'init_type', 'eps']
for key in essential_keys:... | Example implementing Allen-Cahn equation in 2D using FFTs for solving linear parts, IMEX time-stepping Attributes: xvalues: grid points in space dx: mesh width lap: spectral operator for Laplacian rfft_object: planned real FFT for forward transformation irfft_object: planned IFFT for backward transformation | monodomain2d_imex | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class monodomain2d_imex:
"""Example implementing Allen-Cahn equation in 2D using FFTs for solving linear parts, IMEX time-stepping Attributes: xvalues: grid points in space dx: mesh width lap: spectral operator for Laplacian rfft_object: planned real FFT for forward transformation irfft_object: planned... | stack_v2_sparse_classes_36k_train_022624 | 5,966 | permissive | [
{
"docstring": "Initialization routine Args: problem_params (dict): custom parameters for the example dtype_u: mesh data type (will be passed to parent class) dtype_f: mesh data type wuth implicit and explicit parts (will be passed to parent class)",
"name": "__init__",
"signature": "def __init__(self, ... | 4 | stack_v2_sparse_classes_30k_train_007328 | Implement the Python class `monodomain2d_imex` described below.
Class description:
Example implementing Allen-Cahn equation in 2D using FFTs for solving linear parts, IMEX time-stepping Attributes: xvalues: grid points in space dx: mesh width lap: spectral operator for Laplacian rfft_object: planned real FFT for forwa... | Implement the Python class `monodomain2d_imex` described below.
Class description:
Example implementing Allen-Cahn equation in 2D using FFTs for solving linear parts, IMEX time-stepping Attributes: xvalues: grid points in space dx: mesh width lap: spectral operator for Laplacian rfft_object: planned real FFT for forwa... | 1a51834bedffd4472e344bed28f4d766614b1537 | <|skeleton|>
class monodomain2d_imex:
"""Example implementing Allen-Cahn equation in 2D using FFTs for solving linear parts, IMEX time-stepping Attributes: xvalues: grid points in space dx: mesh width lap: spectral operator for Laplacian rfft_object: planned real FFT for forward transformation irfft_object: planned... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class monodomain2d_imex:
"""Example implementing Allen-Cahn equation in 2D using FFTs for solving linear parts, IMEX time-stepping Attributes: xvalues: grid points in space dx: mesh width lap: spectral operator for Laplacian rfft_object: planned real FFT for forward transformation irfft_object: planned IFFT for bac... | the_stack_v2_python_sparse | pySDC/playgrounds/monodomain/Monodomain.py | Parallel-in-Time/pySDC | train | 30 |
436b7c2130f15da4555e56fce24609074419f27d | [
"self.env.cr.execute(\"\\n SELECT PRODUCT_ID, \\n SUM(SQ.QTY * SQ.WEIGHT_OBSERVED) / SUM(SQ.qty)\\n FROM STOCK_QUANT SQ\\n INNER JOIN STOCK_LOCATION SL ON SQ.LOCATION_ID = SL.ID\\n WHERE SQ.PRODUCT_ID IN %s\\n AND ... | <|body_start_0|>
self.env.cr.execute("\n SELECT PRODUCT_ID, \n SUM(SQ.QTY * SQ.WEIGHT_OBSERVED) / SUM(SQ.qty)\n FROM STOCK_QUANT SQ\n INNER JOIN STOCK_LOCATION SL ON SQ.LOCATION_ID = SL.ID\n WHERE SQ.PRODUCT_ID IN %s\n ... | ProductProduct | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductProduct:
def _get_weight_observed(self):
"""Get the average weight of the lots in stock"""
<|body_0|>
def _search_weight_observed(self, operator, value):
"""Search for a product by average weight"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_022625 | 3,483 | no_license | [
{
"docstring": "Get the average weight of the lots in stock",
"name": "_get_weight_observed",
"signature": "def _get_weight_observed(self)"
},
{
"docstring": "Search for a product by average weight",
"name": "_search_weight_observed",
"signature": "def _search_weight_observed(self, opera... | 2 | stack_v2_sparse_classes_30k_train_014382 | Implement the Python class `ProductProduct` described below.
Class description:
Implement the ProductProduct class.
Method signatures and docstrings:
- def _get_weight_observed(self): Get the average weight of the lots in stock
- def _search_weight_observed(self, operator, value): Search for a product by average weig... | Implement the Python class `ProductProduct` described below.
Class description:
Implement the ProductProduct class.
Method signatures and docstrings:
- def _get_weight_observed(self): Get the average weight of the lots in stock
- def _search_weight_observed(self, operator, value): Search for a product by average weig... | 7e6da5d7633ec585b0869d7e6aa8c95f32e540f5 | <|skeleton|>
class ProductProduct:
def _get_weight_observed(self):
"""Get the average weight of the lots in stock"""
<|body_0|>
def _search_weight_observed(self, operator, value):
"""Search for a product by average weight"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProductProduct:
def _get_weight_observed(self):
"""Get the average weight of the lots in stock"""
self.env.cr.execute("\n SELECT PRODUCT_ID, \n SUM(SQ.QTY * SQ.WEIGHT_OBSERVED) / SUM(SQ.qty)\n FROM STOCK_QUANT SQ\n INNER JOIN ... | the_stack_v2_python_sparse | stock_prodlot_weight/stock.py | numerigraphe/numerigraphe-addons | train | 0 | |
88fe0b93d6fead5379ca0b748f24e3e7ca767162 | [
"if 'pix' in string_rep:\n return u.Quantity(string_rep[:-3], u.dimensionless_unscaled)\nif 'h' in string_rep or 'rad' in string_rep:\n return Angle(string_rep)\nunit = u.deg\nif len(string_rep.split('.')) >= 3:\n string_rep = string_rep.replace('.', ':', 2)\nelif string_rep.count(':') == 2:\n unit = u.... | <|body_start_0|>
if 'pix' in string_rep:
return u.Quantity(string_rep[:-3], u.dimensionless_unscaled)
if 'h' in string_rep or 'rad' in string_rep:
return Angle(string_rep)
unit = u.deg
if len(string_rep.split('.')) >= 3:
string_rep = string_rep.replace... | Helper class to structure coordinate parser. | _CRTFCoordinateParser | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _CRTFCoordinateParser:
"""Helper class to structure coordinate parser."""
def parse_coordinate(string_rep):
"""Parse a single coordinate."""
<|body_0|>
def parse_angular_length_quantity(string_rep):
"""Parse a string into a Quantity object. Given a string that is... | stack_v2_sparse_classes_36k_train_022626 | 19,388 | permissive | [
{
"docstring": "Parse a single coordinate.",
"name": "parse_coordinate",
"signature": "def parse_coordinate(string_rep)"
},
{
"docstring": "Parse a string into a Quantity object. Given a string that is a number and a unit, return a Quantity of that string. An error is raised if there is no unit,... | 2 | stack_v2_sparse_classes_30k_train_015946 | Implement the Python class `_CRTFCoordinateParser` described below.
Class description:
Helper class to structure coordinate parser.
Method signatures and docstrings:
- def parse_coordinate(string_rep): Parse a single coordinate.
- def parse_angular_length_quantity(string_rep): Parse a string into a Quantity object. G... | Implement the Python class `_CRTFCoordinateParser` described below.
Class description:
Helper class to structure coordinate parser.
Method signatures and docstrings:
- def parse_coordinate(string_rep): Parse a single coordinate.
- def parse_angular_length_quantity(string_rep): Parse a string into a Quantity object. G... | 501d12d5f5879c49413e20bed90a2d3eb725d5b7 | <|skeleton|>
class _CRTFCoordinateParser:
"""Helper class to structure coordinate parser."""
def parse_coordinate(string_rep):
"""Parse a single coordinate."""
<|body_0|>
def parse_angular_length_quantity(string_rep):
"""Parse a string into a Quantity object. Given a string that is... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _CRTFCoordinateParser:
"""Helper class to structure coordinate parser."""
def parse_coordinate(string_rep):
"""Parse a single coordinate."""
if 'pix' in string_rep:
return u.Quantity(string_rep[:-3], u.dimensionless_unscaled)
if 'h' in string_rep or 'rad' in string_rep... | the_stack_v2_python_sparse | regions/io/crtf/read.py | e-koch/regions | train | 0 |
246312b70c575409e7e1cc458bda5ce450bb26a2 | [
"self.first_idx = {}\nself.last_idx = {}\nself.key_map = {}\nself.arr = []",
"if key not in self.key_map:\n self.arr.append([1, key])\n if 1 not in self.last_idx:\n self.first_idx[1] = len(self.arr) - 1\n self.last_idx[1] = len(self.arr) - 1\n self.key_map[key] = len(self.arr) - 1\nelse:\n j... | <|body_start_0|>
self.first_idx = {}
self.last_idx = {}
self.key_map = {}
self.arr = []
<|end_body_0|>
<|body_start_1|>
if key not in self.key_map:
self.arr.append([1, key])
if 1 not in self.last_idx:
self.first_idx[1] = len(self.arr) - 1
... | AllOne | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AllOne:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def inc(self, key):
"""Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void"""
<|body_1|>
def dec(self, key):
"""De... | stack_v2_sparse_classes_36k_train_022627 | 3,586 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void",
"name": "inc",
"signature": "def inc(self, key)"
},
... | 5 | null | Implement the Python class `AllOne` described below.
Class description:
Implement the AllOne class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def inc(self, key): Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void
-... | Implement the Python class `AllOne` described below.
Class description:
Implement the AllOne class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def inc(self, key): Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void
-... | 2722c0deafcd094ce64140a9a837b4027d29ed6f | <|skeleton|>
class AllOne:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def inc(self, key):
"""Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rtype: void"""
<|body_1|>
def dec(self, key):
"""De... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AllOne:
def __init__(self):
"""Initialize your data structure here."""
self.first_idx = {}
self.last_idx = {}
self.key_map = {}
self.arr = []
def inc(self, key):
"""Inserts a new key <Key> with value 1. Or increments an existing key by 1. :type key: str :rt... | the_stack_v2_python_sparse | 432_all_one_ds_h/main.py | chao-shi/lclc | train | 0 | |
1bbb11067df0cc8bbc821fc2c314494b163dbe65 | [
"super(ProgressScene, self).__init__()\nself._page = 0\nself._num_pages = math.ceil(len(get_prize_names()) / (self.ROWS * self.COLUMNS))\nself._key_press_time = 0",
"super().update(dt)\nkeys = pygame.key.get_pressed()\nif keys[pygame.K_a] and time.time() - self._key_press_time > 0.25:\n self._key_press_time = ... | <|body_start_0|>
super(ProgressScene, self).__init__()
self._page = 0
self._num_pages = math.ceil(len(get_prize_names()) / (self.ROWS * self.COLUMNS))
self._key_press_time = 0
<|end_body_0|>
<|body_start_1|>
super().update(dt)
keys = pygame.key.get_pressed()
if k... | ProgressScene | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProgressScene:
def __init__(self):
"""A scene containing images of all the pokemon and their names/win count."""
<|body_0|>
def update(self, dt: float):
"""Updates which page is currently being shown based on key presses. Args: dt (float): the time in seconds since t... | stack_v2_sparse_classes_36k_train_022628 | 2,910 | no_license | [
{
"docstring": "A scene containing images of all the pokemon and their names/win count.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Updates which page is currently being shown based on key presses. Args: dt (float): the time in seconds since the last update",
"... | 3 | stack_v2_sparse_classes_30k_train_009432 | Implement the Python class `ProgressScene` described below.
Class description:
Implement the ProgressScene class.
Method signatures and docstrings:
- def __init__(self): A scene containing images of all the pokemon and their names/win count.
- def update(self, dt: float): Updates which page is currently being shown b... | Implement the Python class `ProgressScene` described below.
Class description:
Implement the ProgressScene class.
Method signatures and docstrings:
- def __init__(self): A scene containing images of all the pokemon and their names/win count.
- def update(self, dt: float): Updates which page is currently being shown b... | 115e2ea23e0b7aba41a90ef07d0a239314f1d6cf | <|skeleton|>
class ProgressScene:
def __init__(self):
"""A scene containing images of all the pokemon and their names/win count."""
<|body_0|>
def update(self, dt: float):
"""Updates which page is currently being shown based on key presses. Args: dt (float): the time in seconds since t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProgressScene:
def __init__(self):
"""A scene containing images of all the pokemon and their names/win count."""
super(ProgressScene, self).__init__()
self._page = 0
self._num_pages = math.ceil(len(get_prize_names()) / (self.ROWS * self.COLUMNS))
self._key_press_time = ... | the_stack_v2_python_sparse | crane/game/scene/progress_scene/progress_scene.py | mtmk-ee/crane-game | train | 0 | |
307a1b9a0df5573e6251c96fb23efcd429de09c4 | [
"def run(r):\n ld = 0\n rd = 0\n llm = 0\n rlm = 0\n lmax = 0\n if r.left:\n ld += 1\n d, llm = run(r.left)\n ld = ld + d\n if r.right:\n rd += 1\n d, rlm = run(r.right)\n rd = rd + d\n lmax = max(llm, rlm, rd + ld)\n return (rd if rd > ld else ld... | <|body_start_0|>
def run(r):
ld = 0
rd = 0
llm = 0
rlm = 0
lmax = 0
if r.left:
ld += 1
d, llm = run(r.left)
ld = ld + d
if r.right:
rd += 1
d, rlm =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def diameterOfBinaryTree(self, root):
""":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/right."""
<|body_0|>
def rewrite(self, root):
""":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/r... | stack_v2_sparse_classes_36k_train_022629 | 2,572 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/right.",
"name": "diameterOfBinaryTree",
"signature": "def diameterOfBinaryTree(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/ri... | 2 | stack_v2_sparse_classes_30k_train_003884 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def diameterOfBinaryTree(self, root): :type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/right.
- def rewrite(self, root): :type root: TreeNode :r... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def diameterOfBinaryTree(self, root): :type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/right.
- def rewrite(self, root): :type root: TreeNode :r... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def diameterOfBinaryTree(self, root):
""":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/right."""
<|body_0|>
def rewrite(self, root):
""":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def diameterOfBinaryTree(self, root):
""":type root: TreeNode :rtype: int 1. save deepest length 2. save max diff from left/right."""
def run(r):
ld = 0
rd = 0
llm = 0
rlm = 0
lmax = 0
if r.left:
... | the_stack_v2_python_sparse | tree/543_Diameter_of_Binary_Tree.py | vsdrun/lc_public | train | 6 | |
d77eeadc24dfe1ab373c5e07b7276aaa0f6dd099 | [
"import sys\nself.id = sys.maxsize\nself.stack = []",
"from heapq import heappush\nheappush(self.stack, (self.id, value))\nself.id -= 1",
"from heapq import heappop\nif not self.stack:\n return None\n_, value = heappop(self.stack)\nreturn value"
] | <|body_start_0|>
import sys
self.id = sys.maxsize
self.stack = []
<|end_body_0|>
<|body_start_1|>
from heapq import heappush
heappush(self.stack, (self.id, value))
self.id -= 1
<|end_body_1|>
<|body_start_2|>
from heapq import heappop
if not self.stack:
... | A Stack class which uses only heap. | HeapStack | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HeapStack:
"""A Stack class which uses only heap."""
def __init__(self):
"""Initialize the stack."""
<|body_0|>
def push(self, value):
"""Push the new value into the stack."""
<|body_1|>
def pop(self):
"""Pop and return the latest value."""
... | stack_v2_sparse_classes_36k_train_022630 | 1,443 | no_license | [
{
"docstring": "Initialize the stack.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Push the new value into the stack.",
"name": "push",
"signature": "def push(self, value)"
},
{
"docstring": "Pop and return the latest value.",
"name": "pop",
... | 3 | null | Implement the Python class `HeapStack` described below.
Class description:
A Stack class which uses only heap.
Method signatures and docstrings:
- def __init__(self): Initialize the stack.
- def push(self, value): Push the new value into the stack.
- def pop(self): Pop and return the latest value. | Implement the Python class `HeapStack` described below.
Class description:
A Stack class which uses only heap.
Method signatures and docstrings:
- def __init__(self): Initialize the stack.
- def push(self, value): Push the new value into the stack.
- def pop(self): Pop and return the latest value.
<|skeleton|>
class... | 97eae3ee806756f4d646d600f434b1e68164ad34 | <|skeleton|>
class HeapStack:
"""A Stack class which uses only heap."""
def __init__(self):
"""Initialize the stack."""
<|body_0|>
def push(self, value):
"""Push the new value into the stack."""
<|body_1|>
def pop(self):
"""Pop and return the latest value."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HeapStack:
"""A Stack class which uses only heap."""
def __init__(self):
"""Initialize the stack."""
import sys
self.id = sys.maxsize
self.stack = []
def push(self, value):
"""Push the new value into the stack."""
from heapq import heappush
hea... | the_stack_v2_python_sparse | Python/2019_06_18_Problem_154_Heap_Stack.py | BaoCaiH/Daily_Coding_Problem | train | 0 |
e695309e3f9cae0742a156d2e5db31988f7cb7df | [
"super(LambertSampler, self).__init__()\nself.parent = parent\nself.origin = origin\nself.radius = np.float32(radius)\nself.local_work_size = local_work_size\nself.no_points_required = np.ceil(tau * radius / required_resolution)\nself.density = 2 * root_2 / self.no_points_required\nself.N = len(np.arange(-1, 1, sel... | <|body_start_0|>
super(LambertSampler, self).__init__()
self.parent = parent
self.origin = origin
self.radius = np.float32(radius)
self.local_work_size = local_work_size
self.no_points_required = np.ceil(tau * radius / required_resolution)
self.density = 2 * root_... | This is the lambert sampling grid class. It takes the specification for a lambert sampling array and then samples the acoustic field at these points. | LambertSampler | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LambertSampler:
"""This is the lambert sampling grid class. It takes the specification for a lambert sampling array and then samples the acoustic field at these points."""
def __init__(self, parent=None, origin=np.array((0, 0, 0)), required_resolution=0.012, radius=0.05, local_work_size=(1, ... | stack_v2_sparse_classes_36k_train_022631 | 3,772 | permissive | [
{
"docstring": "This method intialises an instance of the LambertSampler class. Parameters ---------- parent : handybeam.world.World This is an instance of the handybeam world class. origin : numpy array This is a vector specifying the origin of the sampling grid. required_resolution : float This specifies the ... | 2 | stack_v2_sparse_classes_30k_train_009332 | Implement the Python class `LambertSampler` described below.
Class description:
This is the lambert sampling grid class. It takes the specification for a lambert sampling array and then samples the acoustic field at these points.
Method signatures and docstrings:
- def __init__(self, parent=None, origin=np.array((0, ... | Implement the Python class `LambertSampler` described below.
Class description:
This is the lambert sampling grid class. It takes the specification for a lambert sampling array and then samples the acoustic field at these points.
Method signatures and docstrings:
- def __init__(self, parent=None, origin=np.array((0, ... | 9f80b97742cde4b75d3478d554dc9bc2cd9dfd96 | <|skeleton|>
class LambertSampler:
"""This is the lambert sampling grid class. It takes the specification for a lambert sampling array and then samples the acoustic field at these points."""
def __init__(self, parent=None, origin=np.array((0, 0, 0)), required_resolution=0.012, radius=0.05, local_work_size=(1, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LambertSampler:
"""This is the lambert sampling grid class. It takes the specification for a lambert sampling array and then samples the acoustic field at these points."""
def __init__(self, parent=None, origin=np.array((0, 0, 0)), required_resolution=0.012, radius=0.05, local_work_size=(1, 1, 1)):
... | the_stack_v2_python_sparse | handybeam/samplers/lambert_sampler.py | hewhocannotbetamed/HandyBeam | train | 0 |
b52c46bfc3dbf639cc3487464d824ed88b70efb2 | [
"w = WindowTitle(None, new_title='some title')\nyield w\nw.close()",
"widget.show()\nassert isinstance(widget, QtWidgets.QDialog)\nassert widget.windowTitle() == 'Modify Window Title'",
"widget.show()\nQtWidgets.qApp.processEvents()\nassert widget.txtTitle.text() == 'some title'\nwidget.txtTitle.clear()\nwidget... | <|body_start_0|>
w = WindowTitle(None, new_title='some title')
yield w
w.close()
<|end_body_0|>
<|body_start_1|>
widget.show()
assert isinstance(widget, QtWidgets.QDialog)
assert widget.windowTitle() == 'Modify Window Title'
<|end_body_1|>
<|body_start_2|>
widge... | Test the WindowTitle | WindowTitleTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowTitleTest:
"""Test the WindowTitle"""
def widget(self, qapp):
"""Create/Destroy the WindowTitle"""
<|body_0|>
def testDefaults(self, widget):
"""Test the GUI in its default state"""
<|body_1|>
def testTitle(self, widget):
"""Modify the ... | stack_v2_sparse_classes_36k_train_022632 | 1,130 | permissive | [
{
"docstring": "Create/Destroy the WindowTitle",
"name": "widget",
"signature": "def widget(self, qapp)"
},
{
"docstring": "Test the GUI in its default state",
"name": "testDefaults",
"signature": "def testDefaults(self, widget)"
},
{
"docstring": "Modify the title",
"name": ... | 3 | null | Implement the Python class `WindowTitleTest` described below.
Class description:
Test the WindowTitle
Method signatures and docstrings:
- def widget(self, qapp): Create/Destroy the WindowTitle
- def testDefaults(self, widget): Test the GUI in its default state
- def testTitle(self, widget): Modify the title | Implement the Python class `WindowTitleTest` described below.
Class description:
Test the WindowTitle
Method signatures and docstrings:
- def widget(self, qapp): Create/Destroy the WindowTitle
- def testDefaults(self, widget): Test the GUI in its default state
- def testTitle(self, widget): Modify the title
<|skelet... | 55b1e9f6db58e33729f2a93b7dd1d8bf255b46f7 | <|skeleton|>
class WindowTitleTest:
"""Test the WindowTitle"""
def widget(self, qapp):
"""Create/Destroy the WindowTitle"""
<|body_0|>
def testDefaults(self, widget):
"""Test the GUI in its default state"""
<|body_1|>
def testTitle(self, widget):
"""Modify the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WindowTitleTest:
"""Test the WindowTitle"""
def widget(self, qapp):
"""Create/Destroy the WindowTitle"""
w = WindowTitle(None, new_title='some title')
yield w
w.close()
def testDefaults(self, widget):
"""Test the GUI in its default state"""
widget.show... | the_stack_v2_python_sparse | src/sas/qtgui/Plotting/UnitTesting/WindowTitleTest.py | SasView/sasview | train | 48 |
4700e916244e8e5a02d52cb74f76c2969f2b2dac | [
"self.indexType = indexType\nself.requirementsModelLoader = requirementsModelLoader\nself.dictionary = self.__buildIndex(self.requirementsModelLoader)",
"for modelKey in modelKeys:\n if not dictionary.has_key(modelKey):\n l = list()\n l.append(modelInfo)\n dictionary[modelKey] = l\n els... | <|body_start_0|>
self.indexType = indexType
self.requirementsModelLoader = requirementsModelLoader
self.dictionary = self.__buildIndex(self.requirementsModelLoader)
<|end_body_0|>
<|body_start_1|>
for modelKey in modelKeys:
if not dictionary.has_key(modelKey):
... | This class is an inverted index for RequiremensModels. Given a keyword, returns all the RequirementsModels that contain the keyword. Currently, the index stores all the models | ModelIndex | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelIndex:
"""This class is an inverted index for RequiremensModels. Given a keyword, returns all the RequirementsModels that contain the keyword. Currently, the index stores all the models"""
def __init__(self, requirementsModelLoader, indexType=STEM_STRING):
"""Constructor. @param... | stack_v2_sparse_classes_36k_train_022633 | 2,434 | no_license | [
{
"docstring": "Constructor. @param requirementsModelLoader: classes that stores all the models in memory",
"name": "__init__",
"signature": "def __init__(self, requirementsModelLoader, indexType=STEM_STRING)"
},
{
"docstring": "This function adds a model to a dictionary @param modelInfo: object... | 4 | stack_v2_sparse_classes_30k_train_003259 | Implement the Python class `ModelIndex` described below.
Class description:
This class is an inverted index for RequiremensModels. Given a keyword, returns all the RequirementsModels that contain the keyword. Currently, the index stores all the models
Method signatures and docstrings:
- def __init__(self, requirement... | Implement the Python class `ModelIndex` described below.
Class description:
This class is an inverted index for RequiremensModels. Given a keyword, returns all the RequirementsModels that contain the keyword. Currently, the index stores all the models
Method signatures and docstrings:
- def __init__(self, requirement... | 7e6a6adced8e3d1b237f52159afbd16a13cd6aad | <|skeleton|>
class ModelIndex:
"""This class is an inverted index for RequiremensModels. Given a keyword, returns all the RequirementsModels that contain the keyword. Currently, the index stores all the models"""
def __init__(self, requirementsModelLoader, indexType=STEM_STRING):
"""Constructor. @param... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModelIndex:
"""This class is an inverted index for RequiremensModels. Given a keyword, returns all the RequirementsModels that contain the keyword. Currently, the index stores all the models"""
def __init__(self, requirementsModelLoader, indexType=STEM_STRING):
"""Constructor. @param requirements... | the_stack_v2_python_sparse | tram/ModelIndex.py | alessioferrari/tram | train | 0 |
ed814db88ac74f0fee1cfefd424227482c925f97 | [
"self.n_samples = 1000\nself.n_features = 4\nself.forest = []",
"for _ in range(self.n_samples):\n k_indices = np.random.choice(len(col_names) - 1, self.n_features, replace=False)\n tree = DecisionTree(feat_indices=k_indices)\n tree.fit(col_names, rows)\n self.forest.append(tree)",
"label_vote = dic... | <|body_start_0|>
self.n_samples = 1000
self.n_features = 4
self.forest = []
<|end_body_0|>
<|body_start_1|>
for _ in range(self.n_samples):
k_indices = np.random.choice(len(col_names) - 1, self.n_features, replace=False)
tree = DecisionTree(feat_indices=k_indices... | RandomForest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomForest:
def __init__(self, n_samples=1000, n_features=4):
"""Construct a random forest using decision tree There are couple missing features for this implementation. - Minimum sample split - Minimum sample leaf - Minimum purity increase - Maximum leaf nodes - Maximum depth Args: n_... | stack_v2_sparse_classes_36k_train_022634 | 1,740 | no_license | [
{
"docstring": "Construct a random forest using decision tree There are couple missing features for this implementation. - Minimum sample split - Minimum sample leaf - Minimum purity increase - Maximum leaf nodes - Maximum depth Args: n_samples (int): Number of decision tree in the forest n_features (int): Numb... | 3 | stack_v2_sparse_classes_30k_train_010301 | Implement the Python class `RandomForest` described below.
Class description:
Implement the RandomForest class.
Method signatures and docstrings:
- def __init__(self, n_samples=1000, n_features=4): Construct a random forest using decision tree There are couple missing features for this implementation. - Minimum sampl... | Implement the Python class `RandomForest` described below.
Class description:
Implement the RandomForest class.
Method signatures and docstrings:
- def __init__(self, n_samples=1000, n_features=4): Construct a random forest using decision tree There are couple missing features for this implementation. - Minimum sampl... | 7da789ef34d5e5bcf9033cfbe0ff5df607b2437a | <|skeleton|>
class RandomForest:
def __init__(self, n_samples=1000, n_features=4):
"""Construct a random forest using decision tree There are couple missing features for this implementation. - Minimum sample split - Minimum sample leaf - Minimum purity increase - Maximum leaf nodes - Maximum depth Args: n_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomForest:
def __init__(self, n_samples=1000, n_features=4):
"""Construct a random forest using decision tree There are couple missing features for this implementation. - Minimum sample split - Minimum sample leaf - Minimum purity increase - Maximum leaf nodes - Maximum depth Args: n_samples (int):... | the_stack_v2_python_sparse | random_forest/forest/random_forest.py | calvinfeng/machine-learning-notebook | train | 38 | |
e586d4fa8b815942078d576ab2fc68423d8082c3 | [
"if safe:\n endpoint = SAFE_BOORU_ENDPOINT\n provider = SAFE_BOORU_PROVIDER\n banned_tags = SAFE_TAGS_BANNED\nelse:\n endpoint = NSFW_BOORU_ENDPOINT\n provider = NSFW_BOORU_PROVIDER\n banned_tags = NSFW_TAGS_BANNED\nhandler = ImageHandlerBooru(provider, endpoint, None, banned_tags, requested_tags,... | <|body_start_0|>
if safe:
endpoint = SAFE_BOORU_ENDPOINT
provider = SAFE_BOORU_PROVIDER
banned_tags = SAFE_TAGS_BANNED
else:
endpoint = NSFW_BOORU_ENDPOINT
provider = NSFW_BOORU_PROVIDER
banned_tags = NSFW_TAGS_BANNED
handle... | Booru image cache. Attributes ---------- cache_id : `int` The identifier of the cache. handler : ``ImageHandlerBooru`` Handler used to request images. last : `None`, ``ImageDetail`` The last show image detail. last_call : `float` When was the handler last called. | ImageCache | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageCache:
"""Booru image cache. Attributes ---------- cache_id : `int` The identifier of the cache. handler : ``ImageHandlerBooru`` Handler used to request images. last : `None`, ``ImageDetail`` The last show image detail. last_call : `float` When was the handler last called."""
def __new_... | stack_v2_sparse_classes_36k_train_022635 | 9,784 | no_license | [
{
"docstring": "Creates a new image cache for booru commands. Parameters ---------- requested_tags : `set` of `str` The requested tags. safe : `bool` Whether we want safe images.",
"name": "__new__",
"signature": "def __new__(cls, requested_tags, safe)"
},
{
"docstring": "Invokes the booru cache... | 4 | stack_v2_sparse_classes_30k_train_020167 | Implement the Python class `ImageCache` described below.
Class description:
Booru image cache. Attributes ---------- cache_id : `int` The identifier of the cache. handler : ``ImageHandlerBooru`` Handler used to request images. last : `None`, ``ImageDetail`` The last show image detail. last_call : `float` When was the ... | Implement the Python class `ImageCache` described below.
Class description:
Booru image cache. Attributes ---------- cache_id : `int` The identifier of the cache. handler : ``ImageHandlerBooru`` Handler used to request images. last : `None`, ``ImageDetail`` The last show image detail. last_call : `float` When was the ... | 74f92b598e86606ea3a269311316cddd84a5215f | <|skeleton|>
class ImageCache:
"""Booru image cache. Attributes ---------- cache_id : `int` The identifier of the cache. handler : ``ImageHandlerBooru`` Handler used to request images. last : `None`, ``ImageDetail`` The last show image detail. last_call : `float` When was the handler last called."""
def __new_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImageCache:
"""Booru image cache. Attributes ---------- cache_id : `int` The identifier of the cache. handler : ``ImageHandlerBooru`` Handler used to request images. last : `None`, ``ImageDetail`` The last show image detail. last_call : `float` When was the handler last called."""
def __new__(cls, reques... | the_stack_v2_python_sparse | koishi/plugins/image_handling_commands/booru/booru.py | HuyaneMatsu/Koishi | train | 17 |
7b4903ac31d8027239fcd817bfbe38c55c2da475 | [
"self.configeditor = configeditor\nself.store = gtk.ListStore(str, int)\ngtk.TreeView.__init__(self, self.store)\nrenderer = gtk.CellRendererText()\ncolumn = gtk.TreeViewColumn('Name', renderer, markup=0)\nself.append_column(column)\nself.set_headers_visible(False)\nself.connect('cursor-changed', self.cb_select)",
... | <|body_start_0|>
self.configeditor = configeditor
self.store = gtk.ListStore(str, int)
gtk.TreeView.__init__(self, self.store)
renderer = gtk.CellRendererText()
column = gtk.TreeViewColumn('Name', renderer, markup=0)
self.append_column(column)
self.set_headers_vis... | A treeview control for switching a notebook's tabs. | listtree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class listtree:
"""A treeview control for switching a notebook's tabs."""
def __init__(self, configeditor):
"""Constructor. @param cb: An instance of the application class. @type cb: pida.main.Application @param configeditor: The configuration editor that the list is used for. @type config... | stack_v2_sparse_classes_36k_train_022636 | 15,303 | no_license | [
{
"docstring": "Constructor. @param cb: An instance of the application class. @type cb: pida.main.Application @param configeditor: The configuration editor that the list is used for. @type configeditor: pida.config.ConfigEditor",
"name": "__init__",
"signature": "def __init__(self, configeditor)"
},
... | 3 | null | Implement the Python class `listtree` described below.
Class description:
A treeview control for switching a notebook's tabs.
Method signatures and docstrings:
- def __init__(self, configeditor): Constructor. @param cb: An instance of the application class. @type cb: pida.main.Application @param configeditor: The con... | Implement the Python class `listtree` described below.
Class description:
A treeview control for switching a notebook's tabs.
Method signatures and docstrings:
- def __init__(self, configeditor): Constructor. @param cb: An instance of the application class. @type cb: pida.main.Application @param configeditor: The con... | 739147ed21a23cab23c2bba98f1c54108f8c2516 | <|skeleton|>
class listtree:
"""A treeview control for switching a notebook's tabs."""
def __init__(self, configeditor):
"""Constructor. @param cb: An instance of the application class. @type cb: pida.main.Application @param configeditor: The configuration editor that the list is used for. @type config... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class listtree:
"""A treeview control for switching a notebook's tabs."""
def __init__(self, configeditor):
"""Constructor. @param cb: An instance of the application class. @type cb: pida.main.Application @param configeditor: The configuration editor that the list is used for. @type configeditor: pida.... | the_stack_v2_python_sparse | branches/model-config/pida/pidagtk/registrywidgets.py | BackupTheBerlios/pida-svn | train | 1 |
bf41c967b967706fb6036d15e571318c69bd34ae | [
"if 'QI' not in params:\n params['QI'] = 'IE'\nif 'QE' not in params:\n params['QE'] = 'EE'\nsuper(verlet, self).__init__(params)\n[self.QT, self.Qx, self.QQ] = self.__get_Qd()\nself.qQ = np.dot(self.coll.weights, self.coll.Qmat[1:, 1:])",
"QI = self.get_Qdelta_implicit(self.coll, self.params.QI)\nQE = self... | <|body_start_0|>
if 'QI' not in params:
params['QI'] = 'IE'
if 'QE' not in params:
params['QE'] = 'EE'
super(verlet, self).__init__(params)
[self.QT, self.Qx, self.QQ] = self.__get_Qd()
self.qQ = np.dot(self.coll.weights, self.coll.Qmat[1:, 1:])
<|end_body... | Custom sweeper class, implements Sweeper.py Second-order sweeper using velocity-Verlet as base integrator Attributes: QQ: 0-to-node collocation matrix (second order) QT: 0-to-node trapezoidal matrix Qx: 0-to-node Euler half-step for position update qQ: update rule for final value (if needed) | verlet | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class verlet:
"""Custom sweeper class, implements Sweeper.py Second-order sweeper using velocity-Verlet as base integrator Attributes: QQ: 0-to-node collocation matrix (second order) QT: 0-to-node trapezoidal matrix Qx: 0-to-node Euler half-step for position update qQ: update rule for final value (if n... | stack_v2_sparse_classes_36k_train_022637 | 7,247 | permissive | [
{
"docstring": "Initialization routine for the custom sweeper Args: params: parameters for the sweeper",
"name": "__init__",
"signature": "def __init__(self, params)"
},
{
"docstring": "Get integration matrices for 2nd-order SDC Returns: S: node-to-node collocation matrix (first order) SQ: node-... | 5 | stack_v2_sparse_classes_30k_train_009117 | Implement the Python class `verlet` described below.
Class description:
Custom sweeper class, implements Sweeper.py Second-order sweeper using velocity-Verlet as base integrator Attributes: QQ: 0-to-node collocation matrix (second order) QT: 0-to-node trapezoidal matrix Qx: 0-to-node Euler half-step for position updat... | Implement the Python class `verlet` described below.
Class description:
Custom sweeper class, implements Sweeper.py Second-order sweeper using velocity-Verlet as base integrator Attributes: QQ: 0-to-node collocation matrix (second order) QT: 0-to-node trapezoidal matrix Qx: 0-to-node Euler half-step for position updat... | 1a51834bedffd4472e344bed28f4d766614b1537 | <|skeleton|>
class verlet:
"""Custom sweeper class, implements Sweeper.py Second-order sweeper using velocity-Verlet as base integrator Attributes: QQ: 0-to-node collocation matrix (second order) QT: 0-to-node trapezoidal matrix Qx: 0-to-node Euler half-step for position update qQ: update rule for final value (if n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class verlet:
"""Custom sweeper class, implements Sweeper.py Second-order sweeper using velocity-Verlet as base integrator Attributes: QQ: 0-to-node collocation matrix (second order) QT: 0-to-node trapezoidal matrix Qx: 0-to-node Euler half-step for position update qQ: update rule for final value (if needed)"""
... | the_stack_v2_python_sparse | pySDC/implementations/sweeper_classes/verlet.py | Parallel-in-Time/pySDC | train | 30 |
57fe1ef3247ddcbbd3274545bc56ae87e89f04fd | [
"super().validate(data)\nhandle_invalid_fields(self, data)\nreturn data",
"dh = DateHelper()\nif value >= materialized_view_month_start(dh).date() and value <= dh.today.date():\n return value\nerror = 'Parameter start_date must be from {} to {}'.format(dh.last_month_start.date(), dh.today.date())\nraise serial... | <|body_start_0|>
super().validate(data)
handle_invalid_fields(self, data)
return data
<|end_body_0|>
<|body_start_1|>
dh = DateHelper()
if value >= materialized_view_month_start(dh).date() and value <= dh.today.date():
return value
error = 'Parameter start_da... | Serializer for handling query parameters. | TagsQueryParamSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TagsQueryParamSerializer:
"""Serializer for handling query parameters."""
def validate(self, data):
"""Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): if field inputs are invalid"""
<|body_0|>
def... | stack_v2_sparse_classes_36k_train_022638 | 11,000 | permissive | [
{
"docstring": "Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): if field inputs are invalid",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": "Validate that the start_date is within the expec... | 3 | stack_v2_sparse_classes_30k_train_017011 | Implement the Python class `TagsQueryParamSerializer` described below.
Class description:
Serializer for handling query parameters.
Method signatures and docstrings:
- def validate(self, data): Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): i... | Implement the Python class `TagsQueryParamSerializer` described below.
Class description:
Serializer for handling query parameters.
Method signatures and docstrings:
- def validate(self, data): Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): i... | 2979f03fbdd1c20c3abc365a963a1282b426f321 | <|skeleton|>
class TagsQueryParamSerializer:
"""Serializer for handling query parameters."""
def validate(self, data):
"""Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): if field inputs are invalid"""
<|body_0|>
def... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TagsQueryParamSerializer:
"""Serializer for handling query parameters."""
def validate(self, data):
"""Validate incoming data. Args: data (Dict): data to be validated Returns: (Dict): Validated data Raises: (ValidationError): if field inputs are invalid"""
super().validate(data)
h... | the_stack_v2_python_sparse | koku/api/tags/serializers.py | luisfdez/koku | train | 0 |
29a1184fa0a47b1bf31e810232f41e76866cfb1d | [
"if not root:\n return 0\nreturn self.subroutine(root, 0)",
"if not node:\n return depth\nreturn max(self.subroutine(node.left, depth + 1), self.subroutine(node.right, depth + 1))"
] | <|body_start_0|>
if not root:
return 0
return self.subroutine(root, 0)
<|end_body_0|>
<|body_start_1|>
if not node:
return depth
return max(self.subroutine(node.left, depth + 1), self.subroutine(node.right, depth + 1))
<|end_body_1|>
| Leet104 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Leet104:
def max_depth(self, root):
"""Finds the max depth of a binary tree. Args: root -- TreeNode Returns: The max depth of a binary tree."""
<|body_0|>
def subroutine(self, node, depth):
"""Find the max depth of two subtrees of a node. Args: node -- TreeNode max_d... | stack_v2_sparse_classes_36k_train_022639 | 1,033 | no_license | [
{
"docstring": "Finds the max depth of a binary tree. Args: root -- TreeNode Returns: The max depth of a binary tree.",
"name": "max_depth",
"signature": "def max_depth(self, root)"
},
{
"docstring": "Find the max depth of two subtrees of a node. Args: node -- TreeNode max_depth -- keeps track o... | 2 | stack_v2_sparse_classes_30k_train_014107 | Implement the Python class `Leet104` described below.
Class description:
Implement the Leet104 class.
Method signatures and docstrings:
- def max_depth(self, root): Finds the max depth of a binary tree. Args: root -- TreeNode Returns: The max depth of a binary tree.
- def subroutine(self, node, depth): Find the max d... | Implement the Python class `Leet104` described below.
Class description:
Implement the Leet104 class.
Method signatures and docstrings:
- def max_depth(self, root): Finds the max depth of a binary tree. Args: root -- TreeNode Returns: The max depth of a binary tree.
- def subroutine(self, node, depth): Find the max d... | b0cfcfa1eff0101cf8e0e3fb9db55fb83f566f6f | <|skeleton|>
class Leet104:
def max_depth(self, root):
"""Finds the max depth of a binary tree. Args: root -- TreeNode Returns: The max depth of a binary tree."""
<|body_0|>
def subroutine(self, node, depth):
"""Find the max depth of two subtrees of a node. Args: node -- TreeNode max_d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Leet104:
def max_depth(self, root):
"""Finds the max depth of a binary tree. Args: root -- TreeNode Returns: The max depth of a binary tree."""
if not root:
return 0
return self.subroutine(root, 0)
def subroutine(self, node, depth):
"""Find the max depth of two... | the_stack_v2_python_sparse | archive/algorithms-leetcode/leet104.py | riehseun/software-engineering | train | 0 | |
2227e9440eb907bf5c3d030f5dea08c7e806051c | [
"pre = None\nresult = 0\nfor cur in prices:\n if pre is None:\n pre = cur\n continue\n if cur > pre:\n result += cur - pre\n pre = cur\nreturn result",
"res = 0\nfor i in range(1, len(prices)):\n res += max(prices[i] - prices[i - 1], 0)\nreturn res"
] | <|body_start_0|>
pre = None
result = 0
for cur in prices:
if pre is None:
pre = cur
continue
if cur > pre:
result += cur - pre
pre = cur
return result
<|end_body_0|>
<|body_start_1|>
res = 0
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit1(self, prices):
"""贪心算法: 方法1"""
<|body_0|>
def maxProfit(self, prices):
"""贪心算法: 方法2"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
pre = None
result = 0
for cur in prices:
if pre is None:
... | stack_v2_sparse_classes_36k_train_022640 | 701 | no_license | [
{
"docstring": "贪心算法: 方法1",
"name": "maxProfit1",
"signature": "def maxProfit1(self, prices)"
},
{
"docstring": "贪心算法: 方法2",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006903 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit1(self, prices): 贪心算法: 方法1
- def maxProfit(self, prices): 贪心算法: 方法2 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit1(self, prices): 贪心算法: 方法1
- def maxProfit(self, prices): 贪心算法: 方法2
<|skeleton|>
class Solution:
def maxProfit1(self, prices):
"""贪心算法: 方法1"""
... | 2acf8468c2e3454b9685b214e25617c98d55b3bc | <|skeleton|>
class Solution:
def maxProfit1(self, prices):
"""贪心算法: 方法1"""
<|body_0|>
def maxProfit(self, prices):
"""贪心算法: 方法2"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit1(self, prices):
"""贪心算法: 方法1"""
pre = None
result = 0
for cur in prices:
if pre is None:
pre = cur
continue
if cur > pre:
result += cur - pre
pre = cur
return res... | the_stack_v2_python_sparse | 122_best-time-to-buy-and-sell-stock-ii.py | linxuedong/leetcode | train | 0 | |
c8139875b737aa6b776a36d2c056ddf6f4ea052a | [
"self.v1 = v1\nself.v2 = v2\nself.lenv1 = len(v1)\nself.lenv2 = len(v2)\nself.min2len = 2 * min(len(v1), len(v2))\nself.alllen = len(v1) + len(v2)\nself.cnt = 0\nself.pos = 0\nif len(v1) > len(v2):\n self.remainlist = v1[len(v2):len(v1)]\nelse:\n self.remainlist = v2[len(v1):len(v2)]\nself.remaincnt = 0",
"... | <|body_start_0|>
self.v1 = v1
self.v2 = v2
self.lenv1 = len(v1)
self.lenv2 = len(v2)
self.min2len = 2 * min(len(v1), len(v2))
self.alllen = len(v1) + len(v2)
self.cnt = 0
self.pos = 0
if len(v1) > len(v2):
self.remainlist = v1[len(v2):l... | ZigzagIterator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZigzagIterator:
def __init__(self, v1, v2):
"""Initialize your data structure here. :type v1: List[int] :type v2: List[int]"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k_train_022641 | 1,340 | no_license | [
{
"docstring": "Initialize your data structure here. :type v1: List[int] :type v2: List[int]",
"name": "__init__",
"signature": "def __init__(self, v1, v2)"
},
{
"docstring": ":rtype: int",
"name": "next",
"signature": "def next(self)"
},
{
"docstring": ":rtype: bool",
"name"... | 3 | stack_v2_sparse_classes_30k_val_001177 | Implement the Python class `ZigzagIterator` described below.
Class description:
Implement the ZigzagIterator class.
Method signatures and docstrings:
- def __init__(self, v1, v2): Initialize your data structure here. :type v1: List[int] :type v2: List[int]
- def next(self): :rtype: int
- def hasNext(self): :rtype: bo... | Implement the Python class `ZigzagIterator` described below.
Class description:
Implement the ZigzagIterator class.
Method signatures and docstrings:
- def __init__(self, v1, v2): Initialize your data structure here. :type v1: List[int] :type v2: List[int]
- def next(self): :rtype: int
- def hasNext(self): :rtype: bo... | cd0341341a0216ac39850727804411e4cf5e4a67 | <|skeleton|>
class ZigzagIterator:
def __init__(self, v1, v2):
"""Initialize your data structure here. :type v1: List[int] :type v2: List[int]"""
<|body_0|>
def next(self):
""":rtype: int"""
<|body_1|>
def hasNext(self):
""":rtype: bool"""
<|body_2|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ZigzagIterator:
def __init__(self, v1, v2):
"""Initialize your data structure here. :type v1: List[int] :type v2: List[int]"""
self.v1 = v1
self.v2 = v2
self.lenv1 = len(v1)
self.lenv2 = len(v2)
self.min2len = 2 * min(len(v1), len(v2))
self.alllen = len(... | the_stack_v2_python_sparse | 281. Zigzag Iterator_google.py | cclain/LeetCode-Problem-Solution | train | 0 | |
b974f0025d7f1568013cc02a97d1d167c365b19d | [
"super().setUp()\nguild = Guild(12345)\nself.db.session.add(guild)\nself.db.session.add(Event(guild, 'One', datetime(2020, 10, 10, 10, 0, tzinfo=utc)))\nself.db.session.add(Event(guild, 'Two', datetime(2020, 10, 10, 11, 0, tzinfo=utc), repetition=EventRepetitionFrequency.weekly))\nself.db.session.commit()",
"with... | <|body_start_0|>
super().setUp()
guild = Guild(12345)
self.db.session.add(guild)
self.db.session.add(Event(guild, 'One', datetime(2020, 10, 10, 10, 0, tzinfo=utc)))
self.db.session.add(Event(guild, 'Two', datetime(2020, 10, 10, 11, 0, tzinfo=utc), repetition=EventRepetitionFreque... | TestEventControllers | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestEventControllers:
def setUp(self):
"""Add some stuff in the database."""
<|body_0|>
def test_get_all_events(self):
"""Ensure we return all events in the database."""
<|body_1|>
def test_get_event(self):
"""Ensure we can retrieve a single even... | stack_v2_sparse_classes_36k_train_022642 | 3,578 | permissive | [
{
"docstring": "Add some stuff in the database.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Ensure we return all events in the database.",
"name": "test_get_all_events",
"signature": "def test_get_all_events(self)"
},
{
"docstring": "Ensure we can retriev... | 6 | stack_v2_sparse_classes_30k_train_004692 | Implement the Python class `TestEventControllers` described below.
Class description:
Implement the TestEventControllers class.
Method signatures and docstrings:
- def setUp(self): Add some stuff in the database.
- def test_get_all_events(self): Ensure we return all events in the database.
- def test_get_event(self):... | Implement the Python class `TestEventControllers` described below.
Class description:
Implement the TestEventControllers class.
Method signatures and docstrings:
- def setUp(self): Add some stuff in the database.
- def test_get_all_events(self): Ensure we return all events in the database.
- def test_get_event(self):... | 709dd307b046158ddf9e49a559852d486168a94f | <|skeleton|>
class TestEventControllers:
def setUp(self):
"""Add some stuff in the database."""
<|body_0|>
def test_get_all_events(self):
"""Ensure we return all events in the database."""
<|body_1|>
def test_get_event(self):
"""Ensure we can retrieve a single even... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestEventControllers:
def setUp(self):
"""Add some stuff in the database."""
super().setUp()
guild = Guild(12345)
self.db.session.add(guild)
self.db.session.add(Event(guild, 'One', datetime(2020, 10, 10, 10, 0, tzinfo=utc)))
self.db.session.add(Event(guild, 'Two... | the_stack_v2_python_sparse | api/mod_event/controllers_test.py | FunkySayu/discord-event-manager | train | 6 | |
b81375fe3db43aa96fbfda9dabd194cb53df4a26 | [
"self.level_vectors = level_vectors\nself.labels = labels\nself.pairs_df = pairs_df",
"scores = []\nfor left in range(251):\n if left in self.labels:\n for right in range(left, 251):\n if right in self.labels:\n scores.append(self.compare_vectors(left, right, weights))\nscores_... | <|body_start_0|>
self.level_vectors = level_vectors
self.labels = labels
self.pairs_df = pairs_df
<|end_body_0|>
<|body_start_1|>
scores = []
for left in range(251):
if left in self.labels:
for right in range(left, 251):
if right i... | Comparator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Comparator:
def __init__(self, level_vectors, labels, pairs_df):
"""Class for comparing all the vectors and generating similarity scores for them Args: level_vectors: ndarray containing dense vector representations of all levels labels: ndarray containing labels for respectively indexed ... | stack_v2_sparse_classes_36k_train_022643 | 4,868 | permissive | [
{
"docstring": "Class for comparing all the vectors and generating similarity scores for them Args: level_vectors: ndarray containing dense vector representations of all levels labels: ndarray containing labels for respectively indexed vectors pairs_df: dataframe containing pair indices and respective mean scor... | 5 | stack_v2_sparse_classes_30k_train_005846 | Implement the Python class `Comparator` described below.
Class description:
Implement the Comparator class.
Method signatures and docstrings:
- def __init__(self, level_vectors, labels, pairs_df): Class for comparing all the vectors and generating similarity scores for them Args: level_vectors: ndarray containing den... | Implement the Python class `Comparator` described below.
Class description:
Implement the Comparator class.
Method signatures and docstrings:
- def __init__(self, level_vectors, labels, pairs_df): Class for comparing all the vectors and generating similarity scores for them Args: level_vectors: ndarray containing den... | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | <|skeleton|>
class Comparator:
def __init__(self, level_vectors, labels, pairs_df):
"""Class for comparing all the vectors and generating similarity scores for them Args: level_vectors: ndarray containing dense vector representations of all levels labels: ndarray containing labels for respectively indexed ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Comparator:
def __init__(self, level_vectors, labels, pairs_df):
"""Class for comparing all the vectors and generating similarity scores for them Args: level_vectors: ndarray containing dense vector representations of all levels labels: ndarray containing labels for respectively indexed vectors pairs_... | the_stack_v2_python_sparse | autoencoder/comparator.py | xingchen1106/match3-level-similarity | train | 0 | |
2ecd069a7b89a039219c0bb12bf8ebe2f8609a00 | [
"if not prices:\n return 0\nprofit = [[[0 for _ in range(2)] for _ in range(3)] for _ in range(len(prices))]\nprofit[0][0][0], profit[0][0][1] = (0, -prices[0])\nprofit[0][1][0], profit[0][1][1] = (float('-inf'), float('-inf'))\nprofit[0][2][0], profit[0][2][1] = (float('-inf'), float('-inf'))\nn = len(prices)\n... | <|body_start_0|>
if not prices:
return 0
profit = [[[0 for _ in range(2)] for _ in range(3)] for _ in range(len(prices))]
profit[0][0][0], profit[0][0][1] = (0, -prices[0])
profit[0][1][0], profit[0][1][1] = (float('-inf'), float('-inf'))
profit[0][2][0], profit[0][2]... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit2(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not prices:
return 0
... | stack_v2_sparse_classes_36k_train_022644 | 2,024 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit2",
"signature": "def maxProfit2(self, prices)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001119 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit2(self, prices): :type prices: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit2(self, prices): :type prices: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxPro... | 5450beff0115e74bd7ecaa5edb076e942fe4f046 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit2(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
if not prices:
return 0
profit = [[[0 for _ in range(2)] for _ in range(3)] for _ in range(len(prices))]
profit[0][0][0], profit[0][0][1] = (0, -prices[0])
profit[0][1][0], prof... | the_stack_v2_python_sparse | src/best_time_to_buy_and_sell_stock_III_123.py | reflectc/leetcode_program | train | 2 | |
5d086bdd865702d2cceaee5b021e15d31c8104fb | [
"self.initLen = 1000000\nself.dic = [-1] * self.initLen\nself.used = 0",
"i = hash(key) % self.initLen\nif self.dic[i] == -1:\n self.dic[i] = key\nelse:\n while self.dic[i] != key and self.dic[i] != -1:\n i = hash(i) % self.initLen\n self.dic[i] = key\nself.used += 1\nif self.used >= self.initLen ... | <|body_start_0|>
self.initLen = 1000000
self.dic = [-1] * self.initLen
self.used = 0
<|end_body_0|>
<|body_start_1|>
i = hash(key) % self.initLen
if self.dic[i] == -1:
self.dic[i] = key
else:
while self.dic[i] != key and self.dic[i] != -1:
... | MyHashSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyHashSet:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def add(self, key):
""":type key: int :rtype: void"""
<|body_1|>
def remove(self, key):
""":type key: int :rtype: void"""
<|body_2|>
def contains(se... | stack_v2_sparse_classes_36k_train_022645 | 1,770 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ":type key: int :rtype: void",
"name": "add",
"signature": "def add(self, key)"
},
{
"docstring": ":type key: int :rtype: void",
"name": "remove",
... | 4 | stack_v2_sparse_classes_30k_test_000375 | Implement the Python class `MyHashSet` described below.
Class description:
Implement the MyHashSet class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def add(self, key): :type key: int :rtype: void
- def remove(self, key): :type key: int :rtype: void
- def contains(s... | Implement the Python class `MyHashSet` described below.
Class description:
Implement the MyHashSet class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def add(self, key): :type key: int :rtype: void
- def remove(self, key): :type key: int :rtype: void
- def contains(s... | e16702d2b3ec4e5054baad56f4320bc3b31676ad | <|skeleton|>
class MyHashSet:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def add(self, key):
""":type key: int :rtype: void"""
<|body_1|>
def remove(self, key):
""":type key: int :rtype: void"""
<|body_2|>
def contains(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyHashSet:
def __init__(self):
"""Initialize your data structure here."""
self.initLen = 1000000
self.dic = [-1] * self.initLen
self.used = 0
def add(self, key):
""":type key: int :rtype: void"""
i = hash(key) % self.initLen
if self.dic[i] == -1:
... | the_stack_v2_python_sparse | leetcode/medium/Design_a_hashset.py | SuperMartinYang/learning_algorithm | train | 0 | |
26f1b91faa9f85f22214419e9e526798dee252e7 | [
"cache = {}\n\ndef dfs(n, rpl):\n if n in cache:\n return cache[n]\n if n == 1:\n return rpl\n if n & 1:\n temp = 1 + min(dfs(n + 1, rpl), dfs(n - 1, rpl))\n else:\n temp = 1 + dfs(n // 2, rpl)\n cache[n] = temp\n return temp\nreturn dfs(n, 0)",
"res = 0\nwhile n > 1:... | <|body_start_0|>
cache = {}
def dfs(n, rpl):
if n in cache:
return cache[n]
if n == 1:
return rpl
if n & 1:
temp = 1 + min(dfs(n + 1, rpl), dfs(n - 1, rpl))
else:
temp = 1 + dfs(n // 2, rpl)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def integerReplacement(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def integerReplacement2(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
cache = {}
def dfs(n, rpl):
if n ... | stack_v2_sparse_classes_36k_train_022646 | 899 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "integerReplacement",
"signature": "def integerReplacement(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "integerReplacement2",
"signature": "def integerReplacement2(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010577 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def integerReplacement(self, n): :type n: int :rtype: int
- def integerReplacement2(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 integerReplacement(self, n): :type n: int :rtype: int
- def integerReplacement2(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def integerReplacement(s... | dbdb227e12f329e4ca064b338f1fbdca42f3a848 | <|skeleton|>
class Solution:
def integerReplacement(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def integerReplacement2(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def integerReplacement(self, n):
""":type n: int :rtype: int"""
cache = {}
def dfs(n, rpl):
if n in cache:
return cache[n]
if n == 1:
return rpl
if n & 1:
temp = 1 + min(dfs(n + 1, rpl), dfs(... | the_stack_v2_python_sparse | LC397.py | Qiao-Liang/LeetCode | train | 0 | |
2e9e3da49d7f45b6f3afcb6cf5d89e354bd19553 | [
"response = self.client.get('/')\nself.assertEqual(response.status_code, 200)\nocsp = OCSPResponse.load(response.content)\nself.assertEqual(ocsp.native['response_status'], 'malformed_request')",
"response = self.client.get('/something')\nself.assertEqual(response.status_code, 200)\nocsp = OCSPResponse.load(respon... | <|body_start_0|>
response = self.client.get('/')
self.assertEqual(response.status_code, 200)
ocsp = OCSPResponse.load(response.content)
self.assertEqual(ocsp.native['response_status'], 'malformed_request')
<|end_body_0|>
<|body_start_1|>
response = self.client.get('/something')
... | Test the OCSP responder. | OCSP | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OCSP:
"""Test the OCSP responder."""
def test_get_empty(self):
"""Empty GET."""
<|body_0|>
def test_get_slug_invalid(self):
"""Invalid GET request."""
<|body_1|>
def test_get(self):
"""Valid GET request."""
<|body_2|>
def test_po... | stack_v2_sparse_classes_36k_train_022647 | 3,537 | permissive | [
{
"docstring": "Empty GET.",
"name": "test_get_empty",
"signature": "def test_get_empty(self)"
},
{
"docstring": "Invalid GET request.",
"name": "test_get_slug_invalid",
"signature": "def test_get_slug_invalid(self)"
},
{
"docstring": "Valid GET request.",
"name": "test_get",... | 5 | stack_v2_sparse_classes_30k_train_009347 | Implement the Python class `OCSP` described below.
Class description:
Test the OCSP responder.
Method signatures and docstrings:
- def test_get_empty(self): Empty GET.
- def test_get_slug_invalid(self): Invalid GET request.
- def test_get(self): Valid GET request.
- def test_post_revoked(self): Valid POST request.
- ... | Implement the Python class `OCSP` described below.
Class description:
Test the OCSP responder.
Method signatures and docstrings:
- def test_get_empty(self): Empty GET.
- def test_get_slug_invalid(self): Invalid GET request.
- def test_get(self): Valid GET request.
- def test_post_revoked(self): Valid POST request.
- ... | 1c3608e0a02aaba9bd8594d80a247d692cbd04ad | <|skeleton|>
class OCSP:
"""Test the OCSP responder."""
def test_get_empty(self):
"""Empty GET."""
<|body_0|>
def test_get_slug_invalid(self):
"""Invalid GET request."""
<|body_1|>
def test_get(self):
"""Valid GET request."""
<|body_2|>
def test_po... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OCSP:
"""Test the OCSP responder."""
def test_get_empty(self):
"""Empty GET."""
response = self.client.get('/')
self.assertEqual(response.status_code, 200)
ocsp = OCSPResponse.load(response.content)
self.assertEqual(ocsp.native['response_status'], 'malformed_reques... | the_stack_v2_python_sparse | webca/webca/ca_ocsp/tests.py | jesusfer/webca | train | 0 |
bdd16bb6870ea5a9ded39bef95448c15cdc1223b | [
"super(GraphVisualizerConnectedcolumn, self).__init__(grid, column_id, column_span)\nfor i in range(column_span):\n self._grid.setColumnStretch(self._column_id + i, 1)",
"painter = QPainter(surface)\nfor connection in self._connected_items:\n start = surface.mapFromGlobal(connection.from_item.get_attach_poi... | <|body_start_0|>
super(GraphVisualizerConnectedcolumn, self).__init__(grid, column_id, column_span)
for i in range(column_span):
self._grid.setColumnStretch(self._column_id + i, 1)
<|end_body_0|>
<|body_start_1|>
painter = QPainter(surface)
for connection in self._connected_... | Simple visual column with arrow between connected widget. | GraphVisualizerConnectedcolumn | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GraphVisualizerConnectedcolumn:
"""Simple visual column with arrow between connected widget."""
def __init__(self, grid, column_id, column_span=1):
"""Initialize a GraphVisualizerConnectedcolumn instance."""
<|body_0|>
def draw(self, surface):
"""Draw the surface... | stack_v2_sparse_classes_36k_train_022648 | 24,840 | permissive | [
{
"docstring": "Initialize a GraphVisualizerConnectedcolumn instance.",
"name": "__init__",
"signature": "def __init__(self, grid, column_id, column_span=1)"
},
{
"docstring": "Draw the surface.",
"name": "draw",
"signature": "def draw(self, surface)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013981 | Implement the Python class `GraphVisualizerConnectedcolumn` described below.
Class description:
Simple visual column with arrow between connected widget.
Method signatures and docstrings:
- def __init__(self, grid, column_id, column_span=1): Initialize a GraphVisualizerConnectedcolumn instance.
- def draw(self, surfa... | Implement the Python class `GraphVisualizerConnectedcolumn` described below.
Class description:
Simple visual column with arrow between connected widget.
Method signatures and docstrings:
- def __init__(self, grid, column_id, column_span=1): Initialize a GraphVisualizerConnectedcolumn instance.
- def draw(self, surfa... | bbcf475a4b4e85836123452053bbbf34cc44063a | <|skeleton|>
class GraphVisualizerConnectedcolumn:
"""Simple visual column with arrow between connected widget."""
def __init__(self, grid, column_id, column_span=1):
"""Initialize a GraphVisualizerConnectedcolumn instance."""
<|body_0|>
def draw(self, surface):
"""Draw the surface... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GraphVisualizerConnectedcolumn:
"""Simple visual column with arrow between connected widget."""
def __init__(self, grid, column_id, column_span=1):
"""Initialize a GraphVisualizerConnectedcolumn instance."""
super(GraphVisualizerConnectedcolumn, self).__init__(grid, column_id, column_span... | the_stack_v2_python_sparse | posydon/visualization/VH_diagram/GraphVisualizer.py | POSYDON-code/POSYDON | train | 11 |
5a866f7ed3243b014c36d9fffeec10b9cd2b94f3 | [
"try:\n profile = Profile.objects.get(user=request.user)\nexcept Profile.DoesNotExist:\n if request.user.is_superuser:\n return Rating.objects.all()\nif profile.access == 'teacher':\n return Rating.objects.filter(subject__teacher__profile_id=profile.id)\nif profile.access == 'student':\n return R... | <|body_start_0|>
try:
profile = Profile.objects.get(user=request.user)
except Profile.DoesNotExist:
if request.user.is_superuser:
return Rating.objects.all()
if profile.access == 'teacher':
return Rating.objects.filter(subject__teacher__profile... | RatingAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RatingAdmin:
def get_queryset(self, request):
"""Get all marks for current profile"""
<|body_0|>
def formfield_for_foreignkey(self, db_field, request, **kwargs):
"""Set default teacher"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_36k_train_022649 | 2,628 | no_license | [
{
"docstring": "Get all marks for current profile",
"name": "get_queryset",
"signature": "def get_queryset(self, request)"
},
{
"docstring": "Set default teacher",
"name": "formfield_for_foreignkey",
"signature": "def formfield_for_foreignkey(self, db_field, request, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016653 | Implement the Python class `RatingAdmin` described below.
Class description:
Implement the RatingAdmin class.
Method signatures and docstrings:
- def get_queryset(self, request): Get all marks for current profile
- def formfield_for_foreignkey(self, db_field, request, **kwargs): Set default teacher | Implement the Python class `RatingAdmin` described below.
Class description:
Implement the RatingAdmin class.
Method signatures and docstrings:
- def get_queryset(self, request): Get all marks for current profile
- def formfield_for_foreignkey(self, db_field, request, **kwargs): Set default teacher
<|skeleton|>
clas... | 76c0df6f07f41f4baf7346acdbbf316b4dd13ee5 | <|skeleton|>
class RatingAdmin:
def get_queryset(self, request):
"""Get all marks for current profile"""
<|body_0|>
def formfield_for_foreignkey(self, db_field, request, **kwargs):
"""Set default teacher"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RatingAdmin:
def get_queryset(self, request):
"""Get all marks for current profile"""
try:
profile = Profile.objects.get(user=request.user)
except Profile.DoesNotExist:
if request.user.is_superuser:
return Rating.objects.all()
if profile.... | the_stack_v2_python_sparse | journal/admin.py | HallrizonX/api_chpk | train | 3 | |
7d8eb92601283deda10ca6263e7b8b7aefad5cbe | [
"Validate.required(raw_costs, 'raw_costs')\nValidate.required(demand, 'demand')\nif raw_costs.holding_cost == 0.0:\n return demand.quantity\nelse:\n numerator = 2 * raw_costs.ordering_cost * demand.quantity\n denominator = raw_costs.holding_cost\n return math.sqrt(numerator / denominator)",
"Validate.... | <|body_start_0|>
Validate.required(raw_costs, 'raw_costs')
Validate.required(demand, 'demand')
if raw_costs.holding_cost == 0.0:
return demand.quantity
else:
numerator = 2 * raw_costs.ordering_cost * demand.quantity
denominator = raw_costs.holding_cost... | EOQ | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EOQ:
def optimal_order_quantity(raw_costs, demand):
"""Calculate economic order quantity (optimal Q*) given raw costs and demand. Parameters ---------- raw_costs : RawCosts A `RawCosts` object, containing a set of raw cost values demand : Demand A `Demand` object, containing demand quant... | stack_v2_sparse_classes_36k_train_022650 | 3,268 | no_license | [
{
"docstring": "Calculate economic order quantity (optimal Q*) given raw costs and demand. Parameters ---------- raw_costs : RawCosts A `RawCosts` object, containing a set of raw cost values demand : Demand A `Demand` object, containing demand quantity and time frame Returns ------- optimal_order_quantity: floa... | 4 | stack_v2_sparse_classes_30k_train_018999 | Implement the Python class `EOQ` described below.
Class description:
Implement the EOQ class.
Method signatures and docstrings:
- def optimal_order_quantity(raw_costs, demand): Calculate economic order quantity (optimal Q*) given raw costs and demand. Parameters ---------- raw_costs : RawCosts A `RawCosts` object, co... | Implement the Python class `EOQ` described below.
Class description:
Implement the EOQ class.
Method signatures and docstrings:
- def optimal_order_quantity(raw_costs, demand): Calculate economic order quantity (optimal Q*) given raw costs and demand. Parameters ---------- raw_costs : RawCosts A `RawCosts` object, co... | 230b7bead81265dfee2e0e5c5819ae7a9c46acbc | <|skeleton|>
class EOQ:
def optimal_order_quantity(raw_costs, demand):
"""Calculate economic order quantity (optimal Q*) given raw costs and demand. Parameters ---------- raw_costs : RawCosts A `RawCosts` object, containing a set of raw cost values demand : Demand A `Demand` object, containing demand quant... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EOQ:
def optimal_order_quantity(raw_costs, demand):
"""Calculate economic order quantity (optimal Q*) given raw costs and demand. Parameters ---------- raw_costs : RawCosts A `RawCosts` object, containing a set of raw cost values demand : Demand A `Demand` object, containing demand quantity and time f... | the_stack_v2_python_sparse | eoq.py | rickhaffey/supply-chain-python | train | 2 | |
2423a4a09b4d46627bc082085c7e8a27cdadd5ed | [
"super().__init__()\nif activation_type == 'tanh':\n self.activation = nn.Tanh()\nelif activation_type == 'relu':\n self.activation = nn.ReLU()\nelse:\n raise InvalidActivationError\nself.dropout = nn.Dropout(dropout)\nself.layers = []\nself.params = nn.ParameterList([])\nself.layers.append(nn.Linear(n_fea... | <|body_start_0|>
super().__init__()
if activation_type == 'tanh':
self.activation = nn.Tanh()
elif activation_type == 'relu':
self.activation = nn.ReLU()
else:
raise InvalidActivationError
self.dropout = nn.Dropout(dropout)
self.layers ... | FeedforwardNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FeedforwardNetwork:
def __init__(self, n_classes, n_features, hidden_size, layers, activation_type, dropout, **kwargs):
"""n_classes (int) n_features (int) hidden_size (int) layers (int) activation_type (str) dropout (float): dropout probability As in logistic regression, the __init__ he... | stack_v2_sparse_classes_36k_train_022651 | 8,770 | no_license | [
{
"docstring": "n_classes (int) n_features (int) hidden_size (int) layers (int) activation_type (str) dropout (float): dropout probability As in logistic regression, the __init__ here defines a bunch of attributes that each FeedforwardNetwork instance has. Note that nn includes modules for several activation fu... | 2 | stack_v2_sparse_classes_30k_train_017209 | Implement the Python class `FeedforwardNetwork` described below.
Class description:
Implement the FeedforwardNetwork class.
Method signatures and docstrings:
- def __init__(self, n_classes, n_features, hidden_size, layers, activation_type, dropout, **kwargs): n_classes (int) n_features (int) hidden_size (int) layers ... | Implement the Python class `FeedforwardNetwork` described below.
Class description:
Implement the FeedforwardNetwork class.
Method signatures and docstrings:
- def __init__(self, n_classes, n_features, hidden_size, layers, activation_type, dropout, **kwargs): n_classes (int) n_features (int) hidden_size (int) layers ... | ae6782f00c0eb8380b2fe417eef8772e2d7abef5 | <|skeleton|>
class FeedforwardNetwork:
def __init__(self, n_classes, n_features, hidden_size, layers, activation_type, dropout, **kwargs):
"""n_classes (int) n_features (int) hidden_size (int) layers (int) activation_type (str) dropout (float): dropout probability As in logistic regression, the __init__ he... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FeedforwardNetwork:
def __init__(self, n_classes, n_features, hidden_size, layers, activation_type, dropout, **kwargs):
"""n_classes (int) n_features (int) hidden_size (int) layers (int) activation_type (str) dropout (float): dropout probability As in logistic regression, the __init__ here defines a b... | the_stack_v2_python_sparse | deepLearning/hw1/hw1-q4.py | afonsocrg/portfolio | train | 2 | |
1f6f4b9fdbc4758ecf8b23b43f45dfea993ffcb1 | [
"if '_details' not in self.__dict__:\n self.__dict__['_details'] = self.IntermediateMassExtract(self.directory)\nreturn self._details",
"if self.success:\n return self\n\ndef cmp(a):\n return int(a[0].split('/')[-1])\nreturn max(self.details.items(), key=cmp)[1]",
"from itertools import chain\nfor file... | <|body_start_0|>
if '_details' not in self.__dict__:
self.__dict__['_details'] = self.IntermediateMassExtract(self.directory)
return self._details
<|end_body_0|>
<|body_start_1|>
if self.success:
return self
def cmp(a):
return int(a[0].split('/')[-1]... | Extractor class for vasp relaxations. | RelaxExtract | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelaxExtract:
"""Extractor class for vasp relaxations."""
def details(self):
"""Intermediate steps."""
<|body_0|>
def last_step(self):
"""Extraction object for current step."""
<|body_1|>
def iterfiles(self, **kwargs):
"""Iterates over input/... | stack_v2_sparse_classes_36k_train_022652 | 6,637 | no_license | [
{
"docstring": "Intermediate steps.",
"name": "details",
"signature": "def details(self)"
},
{
"docstring": "Extraction object for current step.",
"name": "last_step",
"signature": "def last_step(self)"
},
{
"docstring": "Iterates over input/output files.",
"name": "iterfiles... | 5 | null | Implement the Python class `RelaxExtract` described below.
Class description:
Extractor class for vasp relaxations.
Method signatures and docstrings:
- def details(self): Intermediate steps.
- def last_step(self): Extraction object for current step.
- def iterfiles(self, **kwargs): Iterates over input/output files.
-... | Implement the Python class `RelaxExtract` described below.
Class description:
Extractor class for vasp relaxations.
Method signatures and docstrings:
- def details(self): Intermediate steps.
- def last_step(self): Extraction object for current step.
- def iterfiles(self, **kwargs): Iterates over input/output files.
-... | 9c0ab667f94dc4629404a8ec99cbeaa323f0c8b3 | <|skeleton|>
class RelaxExtract:
"""Extractor class for vasp relaxations."""
def details(self):
"""Intermediate steps."""
<|body_0|>
def last_step(self):
"""Extraction object for current step."""
<|body_1|>
def iterfiles(self, **kwargs):
"""Iterates over input/... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RelaxExtract:
"""Extractor class for vasp relaxations."""
def details(self):
"""Intermediate steps."""
if '_details' not in self.__dict__:
self.__dict__['_details'] = self.IntermediateMassExtract(self.directory)
return self._details
def last_step(self):
""... | the_stack_v2_python_sparse | dftcrystal/relax.py | Shibu778/LaDa | train | 0 |
30d363e37ac5d60d8851ce5fa025e3941fda4f84 | [
"min_start = min((v.start for v in overlapping_variants))\nself.variant_indices = [(v.start - min_start, v.end - min_start) for v in overlapping_variants]\nself.size = max((v.end - min_start for v in overlapping_variants))",
"if len(nonref_genotype_counts) != len(self.variant_indices):\n raise ValueError('Vari... | <|body_start_0|>
min_start = min((v.start for v in overlapping_variants))
self.variant_indices = [(v.start - min_start, v.end - min_start) for v in overlapping_variants]
self.size = max((v.end - min_start for v in overlapping_variants))
<|end_body_0|>
<|body_start_1|>
if len(nonref_geno... | Represents the reference genome spanned by overlapping Variants. Each Variant affects a portion of the reference genome that is determined by its start and end coordinates. For a given set of Variants, they are deemed compatible if the total area along the reference genome that is called as non-reference genotypes neve... | _VariantCompatibilityCalculator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _VariantCompatibilityCalculator:
"""Represents the reference genome spanned by overlapping Variants. Each Variant affects a portion of the reference genome that is determined by its start and end coordinates. For a given set of Variants, they are deemed compatible if the total area along the refe... | stack_v2_sparse_classes_36k_train_022653 | 20,898 | permissive | [
{
"docstring": "Constructor. Args: overlapping_variants: list(Variant). The Variant protos of interest.",
"name": "__init__",
"signature": "def __init__(self, overlapping_variants)"
},
{
"docstring": "Returns True if and only if all variants are compatible. Args: nonref_genotype_counts: list of ... | 2 | stack_v2_sparse_classes_30k_train_018485 | Implement the Python class `_VariantCompatibilityCalculator` described below.
Class description:
Represents the reference genome spanned by overlapping Variants. Each Variant affects a portion of the reference genome that is determined by its start and end coordinates. For a given set of Variants, they are deemed comp... | Implement the Python class `_VariantCompatibilityCalculator` described below.
Class description:
Represents the reference genome spanned by overlapping Variants. Each Variant affects a portion of the reference genome that is determined by its start and end coordinates. For a given set of Variants, they are deemed comp... | ab068c4588a02e2167051bd9e74c0c9579462b51 | <|skeleton|>
class _VariantCompatibilityCalculator:
"""Represents the reference genome spanned by overlapping Variants. Each Variant affects a portion of the reference genome that is determined by its start and end coordinates. For a given set of Variants, they are deemed compatible if the total area along the refe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _VariantCompatibilityCalculator:
"""Represents the reference genome spanned by overlapping Variants. Each Variant affects a portion of the reference genome that is determined by its start and end coordinates. For a given set of Variants, they are deemed compatible if the total area along the reference genome ... | the_stack_v2_python_sparse | deepvariant/haplotypes.py | google/deepvariant | train | 3,002 |
7abc4731091617b9599e022bb64e4f8ffccd522d | [
"Data = ''\ntry:\n with open(FileName, 'r') as fp:\n Data = json.load(fp)\n return Data\nexcept ValueError or IOError:\n data = {}\n with open(FileName, 'w+') as fp:\n json.dump(data, fp)\n return Data",
"Teams = SystemToolKit.readFile(Config.TeamFile)\nfor i in Teams:\n if Tea... | <|body_start_0|>
Data = ''
try:
with open(FileName, 'r') as fp:
Data = json.load(fp)
return Data
except ValueError or IOError:
data = {}
with open(FileName, 'w+') as fp:
json.dump(data, fp)
return Dat... | SystemToolKit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SystemToolKit:
def readFile(FileName):
"""Takes a json File and returns its data If no file exisits one will be created and populated with a blank dictionary"""
<|body_0|>
def getTeamId(TeamNumber):
"""Takes a Team Number and returns a Team ID(String) If a Team of Nu... | stack_v2_sparse_classes_36k_train_022654 | 1,327 | no_license | [
{
"docstring": "Takes a json File and returns its data If no file exisits one will be created and populated with a blank dictionary",
"name": "readFile",
"signature": "def readFile(FileName)"
},
{
"docstring": "Takes a Team Number and returns a Team ID(String) If a Team of Number parsed does not... | 3 | stack_v2_sparse_classes_30k_train_001582 | Implement the Python class `SystemToolKit` described below.
Class description:
Implement the SystemToolKit class.
Method signatures and docstrings:
- def readFile(FileName): Takes a json File and returns its data If no file exisits one will be created and populated with a blank dictionary
- def getTeamId(TeamNumber):... | Implement the Python class `SystemToolKit` described below.
Class description:
Implement the SystemToolKit class.
Method signatures and docstrings:
- def readFile(FileName): Takes a json File and returns its data If no file exisits one will be created and populated with a blank dictionary
- def getTeamId(TeamNumber):... | 6420f365540d935906178691fbb5e46b6a31c6b5 | <|skeleton|>
class SystemToolKit:
def readFile(FileName):
"""Takes a json File and returns its data If no file exisits one will be created and populated with a blank dictionary"""
<|body_0|>
def getTeamId(TeamNumber):
"""Takes a Team Number and returns a Team ID(String) If a Team of Nu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SystemToolKit:
def readFile(FileName):
"""Takes a json File and returns its data If no file exisits one will be created and populated with a blank dictionary"""
Data = ''
try:
with open(FileName, 'r') as fp:
Data = json.load(fp)
return Data
... | the_stack_v2_python_sparse | SystemToolKit.py | Lamppost122/Controlled-assessment-Final | train | 0 | |
93583167fdea3c7155e6c18cf54a098d6e2b3518 | [
"a = self.to_bin(a)\nb = self.to_bin(b)\ndiff = len(a) - len(b)\nret = 0\nif diff < 0:\n a, b = (b, a)\n diff *= -1\nb = '0' * diff + b\nfor i in xrange(len(b)):\n if a[i] != b[i]:\n ret += 1\nreturn ret",
"\"\"\"\n :param n:\n :return:\n \"\"\"\na = abs(n)\nlst = []\nwhile a ... | <|body_start_0|>
a = self.to_bin(a)
b = self.to_bin(b)
diff = len(a) - len(b)
ret = 0
if diff < 0:
a, b = (b, a)
diff *= -1
b = '0' * diff + b
for i in xrange(len(b)):
if a[i] != b[i]:
ret += 1
return ret... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def bitSwapRequired(self, a, b):
""":param a: :param b: :return: int"""
<|body_0|>
def to_bin(self, n):
"""2's complement 32-bit :param n: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
a = self.to_bin(a)
b = self.to_bin(... | stack_v2_sparse_classes_36k_train_022655 | 1,433 | permissive | [
{
"docstring": ":param a: :param b: :return: int",
"name": "bitSwapRequired",
"signature": "def bitSwapRequired(self, a, b)"
},
{
"docstring": "2's complement 32-bit :param n: :return:",
"name": "to_bin",
"signature": "def to_bin(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011177 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def bitSwapRequired(self, a, b): :param a: :param b: :return: int
- def to_bin(self, n): 2's complement 32-bit :param n: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def bitSwapRequired(self, a, b): :param a: :param b: :return: int
- def to_bin(self, n): 2's complement 32-bit :param n: :return:
<|skeleton|>
class Solution:
def bitSwapRe... | 4629a3857b2c57418b86a3b3a7180ecb15e763e3 | <|skeleton|>
class Solution:
def bitSwapRequired(self, a, b):
""":param a: :param b: :return: int"""
<|body_0|>
def to_bin(self, n):
"""2's complement 32-bit :param n: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def bitSwapRequired(self, a, b):
""":param a: :param b: :return: int"""
a = self.to_bin(a)
b = self.to_bin(b)
diff = len(a) - len(b)
ret = 0
if diff < 0:
a, b = (b, a)
diff *= -1
b = '0' * diff + b
for i in xrang... | the_stack_v2_python_sparse | Convert Integer A to Integer B.py | RijuDasgupta9116/LintCode | train | 0 | |
d7cb2dd14579ed3c6053c651cddc02117792083c | [
"print('\\n------Ejecutando test para crear usuario-------\\n')\nu = User.objects.create_user('testuser', 'test1', 'test1')\nself.assertTrue(u.has_usable_password())\nself.assertFalse(u.check_password('bad'))\nself.assertTrue(u.check_password('test1'))\nprint('\\n------Test para crear usuario correcto-------\\n')\n... | <|body_start_0|>
print('\n------Ejecutando test para crear usuario-------\n')
u = User.objects.create_user('testuser', 'test1', 'test1')
self.assertTrue(u.has_usable_password())
self.assertFalse(u.check_password('bad'))
self.assertTrue(u.check_password('test1'))
print('\n... | GTGTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GTGTestCase:
def test_crear_usuario(self):
"""Test para la creacion de un usuario con contrasenha"""
<|body_0|>
def test_eliminar_usuario(self):
"""Test para la eliminacion de un usuario"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
print('\n-----... | stack_v2_sparse_classes_36k_train_022656 | 1,916 | no_license | [
{
"docstring": "Test para la creacion de un usuario con contrasenha",
"name": "test_crear_usuario",
"signature": "def test_crear_usuario(self)"
},
{
"docstring": "Test para la eliminacion de un usuario",
"name": "test_eliminar_usuario",
"signature": "def test_eliminar_usuario(self)"
}
... | 2 | stack_v2_sparse_classes_30k_train_016164 | Implement the Python class `GTGTestCase` described below.
Class description:
Implement the GTGTestCase class.
Method signatures and docstrings:
- def test_crear_usuario(self): Test para la creacion de un usuario con contrasenha
- def test_eliminar_usuario(self): Test para la eliminacion de un usuario | Implement the Python class `GTGTestCase` described below.
Class description:
Implement the GTGTestCase class.
Method signatures and docstrings:
- def test_crear_usuario(self): Test para la creacion de un usuario con contrasenha
- def test_eliminar_usuario(self): Test para la eliminacion de un usuario
<|skeleton|>
cl... | 4ffe359fd884754725355017e1c3cffe5a4ce13f | <|skeleton|>
class GTGTestCase:
def test_crear_usuario(self):
"""Test para la creacion de un usuario con contrasenha"""
<|body_0|>
def test_eliminar_usuario(self):
"""Test para la eliminacion de un usuario"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GTGTestCase:
def test_crear_usuario(self):
"""Test para la creacion de un usuario con contrasenha"""
print('\n------Ejecutando test para crear usuario-------\n')
u = User.objects.create_user('testuser', 'test1', 'test1')
self.assertTrue(u.has_usable_password())
self.ass... | the_stack_v2_python_sparse | sistema/tests.py | mocomauricio/sigestrec | train | 0 | |
122a88d597095b1ec328c2f67925de2182365551 | [
"self.env.revert_snapshot('deploy_ha_influxdb_grafana')\nmanipulated_node = {'slave-03': ['controller']}\nself.helpers.remove_nodes_from_cluster(manipulated_node)\nself.check_plugin_online()\nself.helpers.run_ostf(should_fail=1)\nself.helpers.add_nodes_to_cluster(manipulated_node)\nself.check_plugin_online()\nself.... | <|body_start_0|>
self.env.revert_snapshot('deploy_ha_influxdb_grafana')
manipulated_node = {'slave-03': ['controller']}
self.helpers.remove_nodes_from_cluster(manipulated_node)
self.check_plugin_online()
self.helpers.run_ostf(should_fail=1)
self.helpers.add_nodes_to_clust... | Class for system tests for InfluxDB-Grafana plugin. | TestNodesInfluxdbPlugin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestNodesInfluxdbPlugin:
"""Class for system tests for InfluxDB-Grafana plugin."""
def add_remove_controller_influxdb_grafana(self):
"""Verify that the number of controllers can scale up and down Scenario: 1. Revert snapshot with 9 deployed nodes in HA configuration 2. Remove one con... | stack_v2_sparse_classes_36k_train_022657 | 7,472 | no_license | [
{
"docstring": "Verify that the number of controllers can scale up and down Scenario: 1. Revert snapshot with 9 deployed nodes in HA configuration 2. Remove one controller node and update the cluster 3. Check that plugin is working 4. Run OSTF 5. Add one controller node (return previous state) and update the cl... | 5 | stack_v2_sparse_classes_30k_test_001177 | Implement the Python class `TestNodesInfluxdbPlugin` described below.
Class description:
Class for system tests for InfluxDB-Grafana plugin.
Method signatures and docstrings:
- def add_remove_controller_influxdb_grafana(self): Verify that the number of controllers can scale up and down Scenario: 1. Revert snapshot wi... | Implement the Python class `TestNodesInfluxdbPlugin` described below.
Class description:
Class for system tests for InfluxDB-Grafana plugin.
Method signatures and docstrings:
- def add_remove_controller_influxdb_grafana(self): Verify that the number of controllers can scale up and down Scenario: 1. Revert snapshot wi... | 179249df2d206eeabb3955c9dc8cb78cac3c36c6 | <|skeleton|>
class TestNodesInfluxdbPlugin:
"""Class for system tests for InfluxDB-Grafana plugin."""
def add_remove_controller_influxdb_grafana(self):
"""Verify that the number of controllers can scale up and down Scenario: 1. Revert snapshot with 9 deployed nodes in HA configuration 2. Remove one con... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestNodesInfluxdbPlugin:
"""Class for system tests for InfluxDB-Grafana plugin."""
def add_remove_controller_influxdb_grafana(self):
"""Verify that the number of controllers can scale up and down Scenario: 1. Revert snapshot with 9 deployed nodes in HA configuration 2. Remove one controller node ... | the_stack_v2_python_sparse | stacklight_tests/influxdb_grafana/test_system.py | rkhozinov/stacklight-integration-tests | train | 1 |
0d73e399216c23799494f586be0f29c058bf6a8d | [
"for index, num in enumerate(nums):\n if index == 0:\n continue\n nums[index] += nums[index - 1]\nself.nums = nums",
"if i == 0:\n return self.nums[j]\nreturn self.nums[j] - self.nums[i - 1]"
] | <|body_start_0|>
for index, num in enumerate(nums):
if index == 0:
continue
nums[index] += nums[index - 1]
self.nums = nums
<|end_body_0|>
<|body_start_1|>
if i == 0:
return self.nums[j]
return self.nums[j] - self.nums[i - 1]
<|end_bod... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for index, num in enumerate(nums):
if index == ... | stack_v2_sparse_classes_36k_train_022658 | 984 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | null | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | 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 sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | 1dec441f1975d402d093031569cfd301eb71d465 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
for index, num in enumerate(nums):
if index == 0:
continue
nums[index] += nums[index - 1]
self.nums = nums
def sumRange(self, i, j):
""":type i: int :type j: int :rtype:... | the_stack_v2_python_sparse | 303-range-sum-query-immutable.py | franktank/py-practice | train | 1 | |
30e5137cf2187e467f5c5c96817ee5633bc973f0 | [
"self.height = height\nself.length = length\nself.weight = weight\nself.width = width",
"if dictionary is None:\n return None\nheight = awsecommerceservice.models.decimal_with_units.DecimalWithUnits.from_dictionary(dictionary.get('Height')) if dictionary.get('Height') else None\nlength = awsecommerceservice.mo... | <|body_start_0|>
self.height = height
self.length = length
self.weight = weight
self.width = width
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
height = awsecommerceservice.models.decimal_with_units.DecimalWithUnits.from_dictionary(dicti... | Implementation of the 'PackageDimensions' model. TODO: type model description here. Attributes: height (DecimalWithUnits): TODO: type description here. length (DecimalWithUnits): TODO: type description here. weight (DecimalWithUnits): TODO: type description here. width (DecimalWithUnits): TODO: type description here. | PackageDimensions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PackageDimensions:
"""Implementation of the 'PackageDimensions' model. TODO: type model description here. Attributes: height (DecimalWithUnits): TODO: type description here. length (DecimalWithUnits): TODO: type description here. weight (DecimalWithUnits): TODO: type description here. width (Deci... | stack_v2_sparse_classes_36k_train_022659 | 2,533 | permissive | [
{
"docstring": "Constructor for the PackageDimensions class",
"name": "__init__",
"signature": "def __init__(self, height=None, length=None, weight=None, width=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation... | 2 | stack_v2_sparse_classes_30k_train_003175 | Implement the Python class `PackageDimensions` described below.
Class description:
Implementation of the 'PackageDimensions' model. TODO: type model description here. Attributes: height (DecimalWithUnits): TODO: type description here. length (DecimalWithUnits): TODO: type description here. weight (DecimalWithUnits): T... | Implement the Python class `PackageDimensions` described below.
Class description:
Implementation of the 'PackageDimensions' model. TODO: type model description here. Attributes: height (DecimalWithUnits): TODO: type description here. length (DecimalWithUnits): TODO: type description here. weight (DecimalWithUnits): T... | 26ea1019115a1de3b1b37a4b830525e164ac55ce | <|skeleton|>
class PackageDimensions:
"""Implementation of the 'PackageDimensions' model. TODO: type model description here. Attributes: height (DecimalWithUnits): TODO: type description here. length (DecimalWithUnits): TODO: type description here. weight (DecimalWithUnits): TODO: type description here. width (Deci... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PackageDimensions:
"""Implementation of the 'PackageDimensions' model. TODO: type model description here. Attributes: height (DecimalWithUnits): TODO: type description here. length (DecimalWithUnits): TODO: type description here. weight (DecimalWithUnits): TODO: type description here. width (DecimalWithUnits)... | the_stack_v2_python_sparse | awsecommerceservice/models/package_dimensions.py | nidaizamir/Test-PY | train | 0 |
ec033c87421054d5accc658daf3d040de2b5106f | [
"self._serv = SimpleXMLRPCServer(address, allow_none=True)\nself._db = pyvanas_db\nself._redis = redis\nfor name in self._rpc_methods_:\n self._serv.register_function(getattr(self, name))",
"user_info = self._db['user']\nuser = user_info.find_one({'_id': ObjectId(user_id)})\nstart_utc_time = datetime.datetime.... | <|body_start_0|>
self._serv = SimpleXMLRPCServer(address, allow_none=True)
self._db = pyvanas_db
self._redis = redis
for name in self._rpc_methods_:
self._serv.register_function(getattr(self, name))
<|end_body_0|>
<|body_start_1|>
user_info = self._db['user']
... | vanas_data_server | VanasDataServer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VanasDataServer:
"""vanas_data_server"""
def __init__(self, address, pyvanas_db, redis):
"""TODO: to be defined1."""
<|body_0|>
def get_data(self, symbol, start_time, end_time, user_id):
"""docstring for get_data"""
<|body_1|>
def send_status(self, d... | stack_v2_sparse_classes_36k_train_022660 | 2,259 | no_license | [
{
"docstring": "TODO: to be defined1.",
"name": "__init__",
"signature": "def __init__(self, address, pyvanas_db, redis)"
},
{
"docstring": "docstring for get_data",
"name": "get_data",
"signature": "def get_data(self, symbol, start_time, end_time, user_id)"
},
{
"docstring": "发送... | 3 | stack_v2_sparse_classes_30k_train_009152 | Implement the Python class `VanasDataServer` described below.
Class description:
vanas_data_server
Method signatures and docstrings:
- def __init__(self, address, pyvanas_db, redis): TODO: to be defined1.
- def get_data(self, symbol, start_time, end_time, user_id): docstring for get_data
- def send_status(self, data,... | Implement the Python class `VanasDataServer` described below.
Class description:
vanas_data_server
Method signatures and docstrings:
- def __init__(self, address, pyvanas_db, redis): TODO: to be defined1.
- def get_data(self, symbol, start_time, end_time, user_id): docstring for get_data
- def send_status(self, data,... | 80c33304d25f01b321f3351d934190dc927e13dc | <|skeleton|>
class VanasDataServer:
"""vanas_data_server"""
def __init__(self, address, pyvanas_db, redis):
"""TODO: to be defined1."""
<|body_0|>
def get_data(self, symbol, start_time, end_time, user_id):
"""docstring for get_data"""
<|body_1|>
def send_status(self, d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VanasDataServer:
"""vanas_data_server"""
def __init__(self, address, pyvanas_db, redis):
"""TODO: to be defined1."""
self._serv = SimpleXMLRPCServer(address, allow_none=True)
self._db = pyvanas_db
self._redis = redis
for name in self._rpc_methods_:
self... | the_stack_v2_python_sparse | vanas_server/vanas_rpc_server.py | tianhm/pyvanas-halfway | train | 0 |
827c723650dbe5c1f7316ceeb75ec8bc7f6f75ca | [
"turbulenceProperties = turbulenceProperties or TurbulenceProperties.RAS()\nfvSolution = fvSolution or FvSolution.fromRecipe(1)\nfvSchemes = fvSchemes or FvSchemes.fromRecipe(1)\nself.temperature = TRef or 300\nquantities = self.__quantities\n_SingleCommandRecipe.__init__(self, self.__command, turbulenceProperties,... | <|body_start_0|>
turbulenceProperties = turbulenceProperties or TurbulenceProperties.RAS()
fvSolution = fvSolution or FvSolution.fromRecipe(1)
fvSchemes = fvSchemes or FvSchemes.fromRecipe(1)
self.temperature = TRef or 300
quantities = self.__quantities
_SingleCommandReci... | Recipe for heat transfer. This recipe excutes buoyantBoussinesqSimpleFoam for the input case. Attributes: turbulenceProperties: Turbulence properties. fvSolution: Optional input for fvSolution to overwrite default fvSolution. fvSchemes: Optional input for fvSchemes to overwrite default fvSchemes. residualControl: A dic... | HeatTransfer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HeatTransfer:
"""Recipe for heat transfer. This recipe excutes buoyantBoussinesqSimpleFoam for the input case. Attributes: turbulenceProperties: Turbulence properties. fvSolution: Optional input for fvSolution to overwrite default fvSolution. fvSchemes: Optional input for fvSchemes to overwrite d... | stack_v2_sparse_classes_36k_train_022661 | 16,103 | no_license | [
{
"docstring": "Initiate recipe.",
"name": "__init__",
"signature": "def __init__(self, turbulenceProperties=None, fvSolution=None, fvSchemes=None, residualControl=None, relaxationFactors=None, TRef=None)"
},
{
"docstring": "Prepare a case for this recipe. This method sets up the application in ... | 2 | null | Implement the Python class `HeatTransfer` described below.
Class description:
Recipe for heat transfer. This recipe excutes buoyantBoussinesqSimpleFoam for the input case. Attributes: turbulenceProperties: Turbulence properties. fvSolution: Optional input for fvSolution to overwrite default fvSolution. fvSchemes: Opti... | Implement the Python class `HeatTransfer` described below.
Class description:
Recipe for heat transfer. This recipe excutes buoyantBoussinesqSimpleFoam for the input case. Attributes: turbulenceProperties: Turbulence properties. fvSolution: Optional input for fvSolution to overwrite default fvSolution. fvSchemes: Opti... | 330e96867fc3df530ad21c11de01c54562745e65 | <|skeleton|>
class HeatTransfer:
"""Recipe for heat transfer. This recipe excutes buoyantBoussinesqSimpleFoam for the input case. Attributes: turbulenceProperties: Turbulence properties. fvSolution: Optional input for fvSolution to overwrite default fvSolution. fvSchemes: Optional input for fvSchemes to overwrite d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HeatTransfer:
"""Recipe for heat transfer. This recipe excutes buoyantBoussinesqSimpleFoam for the input case. Attributes: turbulenceProperties: Turbulence properties. fvSolution: Optional input for fvSolution to overwrite default fvSolution. fvSchemes: Optional input for fvSchemes to overwrite default fvSche... | the_stack_v2_python_sparse | samples/recipe.py | aKarm1905/PythonMSC | train | 0 |
8635ae9392b824f818c844357aa27a509f2fcc13 | [
"singlePaths = []\nfor togo in self.graph[node]:\n if togo != parent:\n singlePaths.append(self.postorder(togo, node))\nif not singlePaths:\n return 1\nif len(singlePaths) == 1:\n r = 1 + singlePaths[0]\n self.maxNodeCount = max(self.maxNodeCount, r)\n return r\nsinglePaths.sort()\ntop1, top2 ... | <|body_start_0|>
singlePaths = []
for togo in self.graph[node]:
if togo != parent:
singlePaths.append(self.postorder(togo, node))
if not singlePaths:
return 1
if len(singlePaths) == 1:
r = 1 + singlePaths[0]
self.maxNodeCoun... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def postorder(self, node: int, parent: int) -> int:
"""@return: max node count from node to 1 of its child branch."""
<|body_0|>
def treeDiameter(self, edges: List[List[int]]) -> int:
"""Similar to 124. Binary Tree Maximum Path Sum"""
<|body_1|>
<|... | stack_v2_sparse_classes_36k_train_022662 | 2,126 | no_license | [
{
"docstring": "@return: max node count from node to 1 of its child branch.",
"name": "postorder",
"signature": "def postorder(self, node: int, parent: int) -> int"
},
{
"docstring": "Similar to 124. Binary Tree Maximum Path Sum",
"name": "treeDiameter",
"signature": "def treeDiameter(se... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def postorder(self, node: int, parent: int) -> int: @return: max node count from node to 1 of its child branch.
- def treeDiameter(self, edges: List[List[int]]) -> int: Similar t... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def postorder(self, node: int, parent: int) -> int: @return: max node count from node to 1 of its child branch.
- def treeDiameter(self, edges: List[List[int]]) -> int: Similar t... | ad2f5bd0aec3d2c2c77b7c18627c1dd8fe8c0653 | <|skeleton|>
class Solution:
def postorder(self, node: int, parent: int) -> int:
"""@return: max node count from node to 1 of its child branch."""
<|body_0|>
def treeDiameter(self, edges: List[List[int]]) -> int:
"""Similar to 124. Binary Tree Maximum Path Sum"""
<|body_1|>
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def postorder(self, node: int, parent: int) -> int:
"""@return: max node count from node to 1 of its child branch."""
singlePaths = []
for togo in self.graph[node]:
if togo != parent:
singlePaths.append(self.postorder(togo, node))
if not si... | the_stack_v2_python_sparse | T-1245 Tree Diameter.py | jz33/LeetCodeSolutions | train | 8 | |
c7000b4edcbecceba4e91d16265d0be58f716c89 | [
"self.map = {}\nself.patches = {}\nhandler = DefinitionHandler()\nsax.make_parser()\nfor def_file in [aa_file, na_file]:\n sax.parseString(def_file.read(), handler)\n self.map.update(handler.map)\nhandler.map = {}\nsax.parseString(patch_file.read(), handler)\nfor patch in handler.patches:\n if patch.newnam... | <|body_start_0|>
self.map = {}
self.patches = {}
handler = DefinitionHandler()
sax.make_parser()
for def_file in [aa_file, na_file]:
sax.parseString(def_file.read(), handler)
self.map.update(handler.map)
handler.map = {}
sax.parseString(pat... | Force field topology definitions. The Definition class contains the structured definitions found in the files and several mappings for easy access to the information. | Definition | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Definition:
"""Force field topology definitions. The Definition class contains the structured definitions found in the files and several mappings for easy access to the information."""
def __init__(self, aa_file, na_file, patch_file):
"""Initialize object. :param aa_file: file-like o... | stack_v2_sparse_classes_36k_train_022663 | 10,906 | no_license | [
{
"docstring": "Initialize object. :param aa_file: file-like object with amino acid definitions :type aa_file: file :param na_file: file-like object with nucleic acid definitions :type na_file: file :param patch_file: file-like object with patch definitions :type patch_file: file",
"name": "__init__",
"... | 2 | stack_v2_sparse_classes_30k_train_005790 | Implement the Python class `Definition` described below.
Class description:
Force field topology definitions. The Definition class contains the structured definitions found in the files and several mappings for easy access to the information.
Method signatures and docstrings:
- def __init__(self, aa_file, na_file, pa... | Implement the Python class `Definition` described below.
Class description:
Force field topology definitions. The Definition class contains the structured definitions found in the files and several mappings for easy access to the information.
Method signatures and docstrings:
- def __init__(self, aa_file, na_file, pa... | 53cbe6d320048508710b3bad8581b69d3a358ab9 | <|skeleton|>
class Definition:
"""Force field topology definitions. The Definition class contains the structured definitions found in the files and several mappings for easy access to the information."""
def __init__(self, aa_file, na_file, patch_file):
"""Initialize object. :param aa_file: file-like o... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Definition:
"""Force field topology definitions. The Definition class contains the structured definitions found in the files and several mappings for easy access to the information."""
def __init__(self, aa_file, na_file, patch_file):
"""Initialize object. :param aa_file: file-like object with am... | the_stack_v2_python_sparse | pdb2pqr/definitions.py | rkretsch/pdb2pqr | train | 0 |
46fb77b09fb501b6f04eed94d5da04e77c042dd9 | [
"edges = defaultdict(list)\nvisited = [0] * num_courses\nresult = list()\ninvalid = False\nfor info in prerequisites:\n edges[info[1]].append(info[0])\n\ndef dfs(u: int):\n nonlocal invalid\n visited[u] = 1\n for v in edges[u]:\n if visited[v] == 0:\n dfs(v)\n if invalid:\n ... | <|body_start_0|>
edges = defaultdict(list)
visited = [0] * num_courses
result = list()
invalid = False
for info in prerequisites:
edges[info[1]].append(info[0])
def dfs(u: int):
nonlocal invalid
visited[u] = 1
for v in edge... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def find_order(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]:
"""BFS"""
<|body_0|>
def find_order_v2(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]:
"""DFS"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_022664 | 3,658 | no_license | [
{
"docstring": "BFS",
"name": "find_order",
"signature": "def find_order(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]"
},
{
"docstring": "DFS",
"name": "find_order_v2",
"signature": "def find_order_v2(cls, num_courses: int, prerequisites: List[List[int]]) -> List[i... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_order(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]: BFS
- def find_order_v2(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]: D... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_order(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]: BFS
- def find_order_v2(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]: D... | 1d1876620a55ff88af7bc390cf1a4fd4350d8d16 | <|skeleton|>
class Solution:
def find_order(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]:
"""BFS"""
<|body_0|>
def find_order_v2(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]:
"""DFS"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def find_order(cls, num_courses: int, prerequisites: List[List[int]]) -> List[int]:
"""BFS"""
edges = defaultdict(list)
visited = [0] * num_courses
result = list()
invalid = False
for info in prerequisites:
edges[info[1]].append(info[0])
... | the_stack_v2_python_sparse | 01-数据结构/图/210.课程表II(M).py | jh-lau/leetcode_in_python | train | 0 | |
46f3766c8d9dfc196e8bc12f4beda75ccde47c95 | [
"if not root:\n return 'null'\nmessage = []\n\ndef build_message(root):\n if root is None:\n message.append('null')\n else:\n message.append(str(root.val))\n build_message(root.left)\n build_message(root.right)\nbuild_message(root)\nreturn ','.join(message)",
"queue = collecti... | <|body_start_0|>
if not root:
return 'null'
message = []
def build_message(root):
if root is None:
message.append('null')
else:
message.append(str(root.val))
build_message(root.left)
build_messag... | 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_36k_train_022665 | 1,635 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 9d0ff0f8705451947a6605ab5ef92bb3e27a7147 | <|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_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return 'null'
message = []
def build_message(root):
if root is None:
message.append('null')
else:
... | the_stack_v2_python_sparse | premium/amazon/design/serialize_and_deserialize_bst.py | rayt579/leetcode | train | 0 | |
d0a6c5eb21c980df5aa239509751bf000e36b774 | [
"response = super(RetrieveUpdateDestroyAPIView, self).get(request, *args, **kwargs)\nname = model_name_urlize(self.model)\nlinks = [('base', ApiRoot.REGISTRY_REL_PREFIX + 'base'), ('base_controller', ApiRoot.CONTROLLER_REL_PREFIX + 'base')]\nif not is_singleton(self.model) and getattr(self, 'list', True):\n reso... | <|body_start_0|>
response = super(RetrieveUpdateDestroyAPIView, self).get(request, *args, **kwargs)
name = model_name_urlize(self.model)
links = [('base', ApiRoot.REGISTRY_REL_PREFIX + 'base'), ('base_controller', ApiRoot.CONTROLLER_REL_PREFIX + 'base')]
if not is_singleton(self.model) a... | Used for read-write-delete endpoints to represent a single model instance. Provides get, put, patch and delete method handlers. Adds links to the API base and controller API endpoints. `fields_superuser` allows defining fields that only can be updated by a superuser (mark they as readonly otherwise). NOTE: Serializer s... | RetrieveUpdateDestroyAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RetrieveUpdateDestroyAPIView:
"""Used for read-write-delete endpoints to represent a single model instance. Provides get, put, patch and delete method handlers. Adds links to the API base and controller API endpoints. `fields_superuser` allows defining fields that only can be updated by a superus... | stack_v2_sparse_classes_36k_train_022666 | 7,128 | no_license | [
{
"docstring": "Add link header",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Mark as readonly fields that only can be updated by superusers",
"name": "get_serializer",
"signature": "def get_serializer(self, instance=None, data=None, files=Non... | 2 | null | Implement the Python class `RetrieveUpdateDestroyAPIView` described below.
Class description:
Used for read-write-delete endpoints to represent a single model instance. Provides get, put, patch and delete method handlers. Adds links to the API base and controller API endpoints. `fields_superuser` allows defining field... | Implement the Python class `RetrieveUpdateDestroyAPIView` described below.
Class description:
Used for read-write-delete endpoints to represent a single model instance. Provides get, put, patch and delete method handlers. Adds links to the API base and controller API endpoints. `fields_superuser` allows defining field... | dd798dc9bd3321b17007ff131e7b1288a2cd3c36 | <|skeleton|>
class RetrieveUpdateDestroyAPIView:
"""Used for read-write-delete endpoints to represent a single model instance. Provides get, put, patch and delete method handlers. Adds links to the API base and controller API endpoints. `fields_superuser` allows defining fields that only can be updated by a superus... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RetrieveUpdateDestroyAPIView:
"""Used for read-write-delete endpoints to represent a single model instance. Provides get, put, patch and delete method handlers. Adds links to the API base and controller API endpoints. `fields_superuser` allows defining fields that only can be updated by a superuser (mark they... | the_stack_v2_python_sparse | controller/apps/api/generics.py | m00dy/vct-controller | train | 2 |
2a4c63f2e0c71e2f1f553ccef9f23123a0578e61 | [
"if not hasattr(self, 'nextFrame'):\n raise RuntimeError('SimpleTour instance has no specified nextFrame method.')\nif not hasattr(self, 'X'):\n raise RuntimeError('SimpleTour instance has no specified X property.')\nself.pauseSteps = pause\nself.moveFlag = True\nself.Fz, self.moveSteps = self.nextFrame(None)... | <|body_start_0|>
if not hasattr(self, 'nextFrame'):
raise RuntimeError('SimpleTour instance has no specified nextFrame method.')
if not hasattr(self, 'X'):
raise RuntimeError('SimpleTour instance has no specified X property.')
self.pauseSteps = pause
self.moveFlag... | A class for enacting simple tours, where a simple tour is simply a tour that moves from frame to frame using the frame interpolation algorithm specified in utils. | SimpleTour | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleTour:
"""A class for enacting simple tours, where a simple tour is simply a tour that moves from frame to frame using the frame interpolation algorithm specified in utils."""
def __init__(self, pause=0):
"""Constructs a SimpleTour object given a generator function that specifie... | stack_v2_sparse_classes_36k_train_022667 | 3,652 | permissive | [
{
"docstring": "Constructs a SimpleTour object given a generator function that specifies the next frame to travel to and the number of steps to take. Should not be called explicitly.",
"name": "__init__",
"signature": "def __init__(self, pause=0)"
},
{
"docstring": "Checks to make sure that the ... | 6 | stack_v2_sparse_classes_30k_train_014861 | Implement the Python class `SimpleTour` described below.
Class description:
A class for enacting simple tours, where a simple tour is simply a tour that moves from frame to frame using the frame interpolation algorithm specified in utils.
Method signatures and docstrings:
- def __init__(self, pause=0): Constructs a S... | Implement the Python class `SimpleTour` described below.
Class description:
A class for enacting simple tours, where a simple tour is simply a tour that moves from frame to frame using the frame interpolation algorithm specified in utils.
Method signatures and docstrings:
- def __init__(self, pause=0): Constructs a S... | 435676abe6a1ad07aa9227325c7a35d3c6e146d7 | <|skeleton|>
class SimpleTour:
"""A class for enacting simple tours, where a simple tour is simply a tour that moves from frame to frame using the frame interpolation algorithm specified in utils."""
def __init__(self, pause=0):
"""Constructs a SimpleTour object given a generator function that specifie... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SimpleTour:
"""A class for enacting simple tours, where a simple tour is simply a tour that moves from frame to frame using the frame interpolation algorithm specified in utils."""
def __init__(self, pause=0):
"""Constructs a SimpleTour object given a generator function that specifies the next fr... | the_stack_v2_python_sparse | pytour/simpleTour/simpleTour.py | crhoyt/pytour | train | 0 |
218b1351e4058fee2cb91eff1bd0534136acc9a3 | [
"n = len(nums)\nmax_window = []\nfor i in range(0, n - k + 1):\n curr_max = float('-inf')\n for j in range(i, i + k):\n curr_max = max(curr_max, nums[j])\n max_window.append(curr_max)\nreturn max_window",
"if not nums:\n return []\nif k > len(nums):\n return [max(nums)]\nmax_window = []\ndeq... | <|body_start_0|>
n = len(nums)
max_window = []
for i in range(0, n - k + 1):
curr_max = float('-inf')
for j in range(i, i + k):
curr_max = max(curr_max, nums[j])
max_window.append(curr_max)
return max_window
<|end_body_0|>
<|body_start... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def max_window_brute(self, nums, k):
"""Brute force algorithm. Time complexity: O(n * k). Space complexity: O(1), n is len(nums)."""
<|body_0|>
def max_window_deque(self, nums, k):
"""Algorithm based on using dequeue. Assumes k <= len(nums). Time complexity... | stack_v2_sparse_classes_36k_train_022668 | 2,969 | no_license | [
{
"docstring": "Brute force algorithm. Time complexity: O(n * k). Space complexity: O(1), n is len(nums).",
"name": "max_window_brute",
"signature": "def max_window_brute(self, nums, k)"
},
{
"docstring": "Algorithm based on using dequeue. Assumes k <= len(nums). Time complexity: O(n). Space com... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def max_window_brute(self, nums, k): Brute force algorithm. Time complexity: O(n * k). Space complexity: O(1), n is len(nums).
- def max_window_deque(self, nums, k): Algorithm ba... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def max_window_brute(self, nums, k): Brute force algorithm. Time complexity: O(n * k). Space complexity: O(1), n is len(nums).
- def max_window_deque(self, nums, k): Algorithm ba... | 71b722ddfe8da04572e527b055cf8723d5c87bbf | <|skeleton|>
class Solution:
def max_window_brute(self, nums, k):
"""Brute force algorithm. Time complexity: O(n * k). Space complexity: O(1), n is len(nums)."""
<|body_0|>
def max_window_deque(self, nums, k):
"""Algorithm based on using dequeue. Assumes k <= len(nums). Time complexity... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def max_window_brute(self, nums, k):
"""Brute force algorithm. Time complexity: O(n * k). Space complexity: O(1), n is len(nums)."""
n = len(nums)
max_window = []
for i in range(0, n - k + 1):
curr_max = float('-inf')
for j in range(i, i + k):
... | the_stack_v2_python_sparse | Stack/sliding_window_maximum.py | vladn90/Algorithms | train | 0 | |
2341fe14b0c9367f2eec943e95293609e4ac66bb | [
"if not name:\n raise ValueError('Users must have an name')\nuser = self.model(email=self.normalize_email(email), name=name)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(email, password=password, name=name)\nuser.is_superuser = True\nuser.save(using=self._db)\... | <|body_start_0|>
if not name:
raise ValueError('Users must have an name')
user = self.model(email=self.normalize_email(email), name=name)
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_start_1|>
user = self.create_user... | BackendUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackendUserManager:
def create_user(self, email, name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, email, name, password):
"""Creates and saves a superuser with the given email... | stack_v2_sparse_classes_36k_train_022669 | 8,553 | no_license | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, email, name, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email, date of birth and password.",
"name": "c... | 2 | stack_v2_sparse_classes_30k_val_000393 | Implement the Python class `BackendUserManager` described below.
Class description:
Implement the BackendUserManager class.
Method signatures and docstrings:
- def create_user(self, email, name, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, ema... | Implement the Python class `BackendUserManager` described below.
Class description:
Implement the BackendUserManager class.
Method signatures and docstrings:
- def create_user(self, email, name, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, ema... | 2e8bd27ed244ce4f385c365ae2b1c9f5dbbb4d58 | <|skeleton|>
class BackendUserManager:
def create_user(self, email, name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, email, name, password):
"""Creates and saves a superuser with the given email... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BackendUserManager:
def create_user(self, email, name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
if not name:
raise ValueError('Users must have an name')
user = self.model(email=self.normalize_email(email), name=name)
... | the_stack_v2_python_sparse | backend/models.py | JIAWea/WeChat_demo | train | 0 | |
2283b88a918d63730ab37f2bfb086374cd614d32 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn ProvisioningErrorInfo()",
"from .provisioning_status_error_category import ProvisioningStatusErrorCategory\nfrom .provisioning_status_error_category import ProvisioningStatusErrorCategory\nfields: Dict[str, Callable[[Any], None]] = {'a... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return ProvisioningErrorInfo()
<|end_body_0|>
<|body_start_1|>
from .provisioning_status_error_category import ProvisioningStatusErrorCategory
from .provisioning_status_error_category import Pr... | ProvisioningErrorInfo | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProvisioningErrorInfo:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ProvisioningErrorInfo:
"""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 th... | stack_v2_sparse_classes_36k_train_022670 | 3,926 | 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: ProvisioningErrorInfo",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminat... | 3 | stack_v2_sparse_classes_30k_train_012120 | Implement the Python class `ProvisioningErrorInfo` described below.
Class description:
Implement the ProvisioningErrorInfo class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ProvisioningErrorInfo: Creates a new instance of the appropriate class base... | Implement the Python class `ProvisioningErrorInfo` described below.
Class description:
Implement the ProvisioningErrorInfo class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ProvisioningErrorInfo: Creates a new instance of the appropriate class base... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class ProvisioningErrorInfo:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ProvisioningErrorInfo:
"""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 th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProvisioningErrorInfo:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> ProvisioningErrorInfo:
"""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 Retur... | the_stack_v2_python_sparse | msgraph/generated/models/provisioning_error_info.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
bd0554a0e4db39f52e818b7cc5460fa65d687ef2 | [
"for x, y in (('gid', portage_gid), ('perms', 436)):\n if x in config:\n setattr(self, f'_{x}', config[x])\n del config[x]\n else:\n setattr(self, f'_{x}', y)\nsuper().__init__(**config)\nif label is not None:\n location = pjoin(location, label.lstrip(os.path.sep))\nself.location = loc... | <|body_start_0|>
for x, y in (('gid', portage_gid), ('perms', 436)):
if x in config:
setattr(self, f'_{x}', config[x])
del config[x]
else:
setattr(self, f'_{x}', y)
super().__init__(**config)
if label is not None:
... | Template wrapping fs needed options. Provides _ensure_access as a way to attempt to ensure files have the specified owners/perms. | FsBased | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FsBased:
"""Template wrapping fs needed options. Provides _ensure_access as a way to attempt to ensure files have the specified owners/perms."""
def __init__(self, location, label=None, **config):
"""throws InitializationError if needs args aren't specified :keyword gid: defaults to ... | stack_v2_sparse_classes_36k_train_022671 | 2,222 | permissive | [
{
"docstring": "throws InitializationError if needs args aren't specified :keyword gid: defaults to :obj:`pkgcore.os_data.portage_gid`, gid to force all entries to :keyword perms: defaults to 0665, mode to force all entries to",
"name": "__init__",
"signature": "def __init__(self, location, label=None, ... | 3 | stack_v2_sparse_classes_30k_test_000673 | Implement the Python class `FsBased` described below.
Class description:
Template wrapping fs needed options. Provides _ensure_access as a way to attempt to ensure files have the specified owners/perms.
Method signatures and docstrings:
- def __init__(self, location, label=None, **config): throws InitializationError ... | Implement the Python class `FsBased` described below.
Class description:
Template wrapping fs needed options. Provides _ensure_access as a way to attempt to ensure files have the specified owners/perms.
Method signatures and docstrings:
- def __init__(self, location, label=None, **config): throws InitializationError ... | ad4c3d51a2aff49ed898382c58baa852f47e17b9 | <|skeleton|>
class FsBased:
"""Template wrapping fs needed options. Provides _ensure_access as a way to attempt to ensure files have the specified owners/perms."""
def __init__(self, location, label=None, **config):
"""throws InitializationError if needs args aren't specified :keyword gid: defaults to ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FsBased:
"""Template wrapping fs needed options. Provides _ensure_access as a way to attempt to ensure files have the specified owners/perms."""
def __init__(self, location, label=None, **config):
"""throws InitializationError if needs args aren't specified :keyword gid: defaults to :obj:`pkgcore... | the_stack_v2_python_sparse | src/pkgcore/cache/fs_template.py | pkgcore/pkgcore | train | 107 |
7c1b06d06a9ef11b9b96e68adad7366c8c280132 | [
"config = BaseModel.default_config()\nconfig['input_block'] = {'layout': 'cnap', 'c': dict(kernel_size=7, stride=2, filters=32), 'p': dict(kernel_size=3, stride=2)}\nconfig['body_block/dense'] = {'num_layers': (6, 12, 24, 16), 'layout': 'nac', 'kernel_size': 3, 'use_bottleneck': True, 'bottleneck_factor': 4, 'growt... | <|body_start_0|>
config = BaseModel.default_config()
config['input_block'] = {'layout': 'cnap', 'c': dict(kernel_size=7, stride=2, filters=32), 'p': dict(kernel_size=3, stride=2)}
config['body_block/dense'] = {'num_layers': (6, 12, 24, 16), 'layout': 'nac', 'kernel_size': 3, 'use_bottleneck': Tr... | DenseNet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DenseNet:
def default_config(cls):
"""Get default config for DenseNet model."""
<|body_0|>
def body_block(cls, input_shape, block, config):
"""Body block of densenet model."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
config = BaseModel.default_c... | stack_v2_sparse_classes_36k_train_022672 | 3,674 | no_license | [
{
"docstring": "Get default config for DenseNet model.",
"name": "default_config",
"signature": "def default_config(cls)"
},
{
"docstring": "Body block of densenet model.",
"name": "body_block",
"signature": "def body_block(cls, input_shape, block, config)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019449 | Implement the Python class `DenseNet` described below.
Class description:
Implement the DenseNet class.
Method signatures and docstrings:
- def default_config(cls): Get default config for DenseNet model.
- def body_block(cls, input_shape, block, config): Body block of densenet model. | Implement the Python class `DenseNet` described below.
Class description:
Implement the DenseNet class.
Method signatures and docstrings:
- def default_config(cls): Get default config for DenseNet model.
- def body_block(cls, input_shape, block, config): Body block of densenet model.
<|skeleton|>
class DenseNet:
... | 9554e0f96703a37a9a41fc70dc8e70e45c6181a2 | <|skeleton|>
class DenseNet:
def default_config(cls):
"""Get default config for DenseNet model."""
<|body_0|>
def body_block(cls, input_shape, block, config):
"""Body block of densenet model."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DenseNet:
def default_config(cls):
"""Get default config for DenseNet model."""
config = BaseModel.default_config()
config['input_block'] = {'layout': 'cnap', 'c': dict(kernel_size=7, stride=2, filters=32), 'p': dict(kernel_size=3, stride=2)}
config['body_block/dense'] = {'num_... | the_stack_v2_python_sparse | dnn_backend/radio_dep/models/models/pytorch/models/densenet.py | theVmagnificient/radiology_web | train | 0 | |
066dc967932d8f126c6047804eef3ee16af627e7 | [
"input_cube = self.precip_cube.copy()\ninput_cube.rename('air_temperature')\ninput_cube.units = 'K'\nplugin = CreateExtrapolationForecast(input_cube, self.vel_x, self.vel_y)\nresult = plugin.extrapolate(10)\nexpected_result = np.array([[np.nan, np.nan, np.nan], [np.nan, 1, 2], [np.nan, 1, 1], [np.nan, 0, 2]], dtype... | <|body_start_0|>
input_cube = self.precip_cube.copy()
input_cube.rename('air_temperature')
input_cube.units = 'K'
plugin = CreateExtrapolationForecast(input_cube, self.vel_x, self.vel_y)
result = plugin.extrapolate(10)
expected_result = np.array([[np.nan, np.nan, np.nan],... | Test the extrapolate method. | Test_extrapolate | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_extrapolate:
"""Test the extrapolate method."""
def test_without_orographic_enhancement(self):
"""Test plugin returns the correct advected forecast cube. In this case we have 600m grid spacing in our cubes, and 1m/s advection velocities in the x and y direction, so after 10 minu... | stack_v2_sparse_classes_36k_train_022673 | 11,800 | permissive | [
{
"docstring": "Test plugin returns the correct advected forecast cube. In this case we have 600m grid spacing in our cubes, and 1m/s advection velocities in the x and y direction, so after 10 minutes, our precipitation will have moved exactly one grid square along each axis.",
"name": "test_without_orograp... | 2 | stack_v2_sparse_classes_30k_train_000255 | Implement the Python class `Test_extrapolate` described below.
Class description:
Test the extrapolate method.
Method signatures and docstrings:
- def test_without_orographic_enhancement(self): Test plugin returns the correct advected forecast cube. In this case we have 600m grid spacing in our cubes, and 1m/s advect... | Implement the Python class `Test_extrapolate` described below.
Class description:
Test the extrapolate method.
Method signatures and docstrings:
- def test_without_orographic_enhancement(self): Test plugin returns the correct advected forecast cube. In this case we have 600m grid spacing in our cubes, and 1m/s advect... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_extrapolate:
"""Test the extrapolate method."""
def test_without_orographic_enhancement(self):
"""Test plugin returns the correct advected forecast cube. In this case we have 600m grid spacing in our cubes, and 1m/s advection velocities in the x and y direction, so after 10 minu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test_extrapolate:
"""Test the extrapolate method."""
def test_without_orographic_enhancement(self):
"""Test plugin returns the correct advected forecast cube. In this case we have 600m grid spacing in our cubes, and 1m/s advection velocities in the x and y direction, so after 10 minutes, our prec... | the_stack_v2_python_sparse | improver_tests/nowcasting/forecasting/test_CreateExtrapolationForecast.py | metoppv/improver | train | 101 |
461d2b085873b53b5c1f77c7940545d48e33d464 | [
"dt_now = datetime.now()\ndt_future = dt_now + timedelta(days=30)\ninvoice_obj = Invoices()\ninvoice_obj.nr = None\ninvoice_obj.customer_id = customer_id\ninvoice_obj.price_sum_brutto = 0\ninvoice_obj.price_sum_netto = 0\ninvoice_obj.paid_sum_brutto = 0\ninvoice_obj.pay_form_id = None\ninvoice_obj.dt_created = dt_n... | <|body_start_0|>
dt_now = datetime.now()
dt_future = dt_now + timedelta(days=30)
invoice_obj = Invoices()
invoice_obj.nr = None
invoice_obj.customer_id = customer_id
invoice_obj.price_sum_brutto = 0
invoice_obj.price_sum_netto = 0
invoice_obj.paid_sum_brut... | InvoicesCommon | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InvoicesCommon:
def create_empty_invoice(self, customer_id):
""":param customer_id: :return:"""
<|body_0|>
def common_invoice_middle_show(self, web_context, invoice_obj):
""":param web_context: :param invoice_obj: :return:"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_36k_train_022674 | 6,738 | no_license | [
{
"docstring": ":param customer_id: :return:",
"name": "create_empty_invoice",
"signature": "def create_empty_invoice(self, customer_id)"
},
{
"docstring": ":param web_context: :param invoice_obj: :return:",
"name": "common_invoice_middle_show",
"signature": "def common_invoice_middle_sh... | 2 | stack_v2_sparse_classes_30k_train_004989 | Implement the Python class `InvoicesCommon` described below.
Class description:
Implement the InvoicesCommon class.
Method signatures and docstrings:
- def create_empty_invoice(self, customer_id): :param customer_id: :return:
- def common_invoice_middle_show(self, web_context, invoice_obj): :param web_context: :param... | Implement the Python class `InvoicesCommon` described below.
Class description:
Implement the InvoicesCommon class.
Method signatures and docstrings:
- def create_empty_invoice(self, customer_id): :param customer_id: :return:
- def common_invoice_middle_show(self, web_context, invoice_obj): :param web_context: :param... | b1c72571da01c5d6f5e3bee27140931527132ef4 | <|skeleton|>
class InvoicesCommon:
def create_empty_invoice(self, customer_id):
""":param customer_id: :return:"""
<|body_0|>
def common_invoice_middle_show(self, web_context, invoice_obj):
""":param web_context: :param invoice_obj: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InvoicesCommon:
def create_empty_invoice(self, customer_id):
""":param customer_id: :return:"""
dt_now = datetime.now()
dt_future = dt_now + timedelta(days=30)
invoice_obj = Invoices()
invoice_obj.nr = None
invoice_obj.customer_id = customer_id
invoice_o... | the_stack_v2_python_sparse | py/iai_invoice/invoices/utils/invoices_common.py | wiks/fakturkowo_DjangoSymfony5 | train | 0 | |
ac12dd8b96fac67829490d7df53bb2f78005a3e0 | [
"if DbContext.__instance is None:\n client = MongoClient('mongodb+srv://niobrara:niobrara123@adaptiveblinddateapp-hdqaj.mongodb.net/test')\n DbContext.__instance = client.timble\nreturn DbContext.__instance",
"if DbContext.__instance is None:\n raise Exception('This class is a singleton!')\nelse:\n Db... | <|body_start_0|>
if DbContext.__instance is None:
client = MongoClient('mongodb+srv://niobrara:niobrara123@adaptiveblinddateapp-hdqaj.mongodb.net/test')
DbContext.__instance = client.timble
return DbContext.__instance
<|end_body_0|>
<|body_start_1|>
if DbContext.__instan... | DbContext | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DbContext:
def get_instance():
"""Static access method."""
<|body_0|>
def __init__(self):
"""Virtually private constructor."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if DbContext.__instance is None:
client = MongoClient('mongodb+sr... | stack_v2_sparse_classes_36k_train_022675 | 620 | no_license | [
{
"docstring": "Static access method.",
"name": "get_instance",
"signature": "def get_instance()"
},
{
"docstring": "Virtually private constructor.",
"name": "__init__",
"signature": "def __init__(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002745 | Implement the Python class `DbContext` described below.
Class description:
Implement the DbContext class.
Method signatures and docstrings:
- def get_instance(): Static access method.
- def __init__(self): Virtually private constructor. | Implement the Python class `DbContext` described below.
Class description:
Implement the DbContext class.
Method signatures and docstrings:
- def get_instance(): Static access method.
- def __init__(self): Virtually private constructor.
<|skeleton|>
class DbContext:
def get_instance():
"""Static access ... | 17162732956f33e17619f26d1ff5b280a8f40856 | <|skeleton|>
class DbContext:
def get_instance():
"""Static access method."""
<|body_0|>
def __init__(self):
"""Virtually private constructor."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DbContext:
def get_instance():
"""Static access method."""
if DbContext.__instance is None:
client = MongoClient('mongodb+srv://niobrara:niobrara123@adaptiveblinddateapp-hdqaj.mongodb.net/test')
DbContext.__instance = client.timble
return DbContext.__instance
... | the_stack_v2_python_sparse | repository/db_context.py | soumenghosh2205/AdaptiveBlindDateApp | train | 0 | |
665a779dd1c850dd312112f8a3e637683717033d | [
"low = 1\nhigh = n\nwhile low <= high:\n mid = low + (high - low) // 2\n ans = guess(mid)\n if ans == 0:\n return mid\n elif ans == 1:\n high = mid - 1\n else:\n low = mid + 1",
"low = 1\nhigh = n\nwhile low <= high:\n mid = low + (high - low) // 2\n ans = guess(mid)\n ... | <|body_start_0|>
low = 1
high = n
while low <= high:
mid = low + (high - low) // 2
ans = guess(mid)
if ans == 0:
return mid
elif ans == 1:
high = mid - 1
else:
low = mid + 1
<|end_body_0|>... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def guessNumber(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def guessNumber(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
low = 1
high = n
while low <= high:
mid =... | stack_v2_sparse_classes_36k_train_022676 | 1,047 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "guessNumber",
"signature": "def guessNumber(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "guessNumber",
"signature": "def guessNumber(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016691 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def guessNumber(self, n): :type n: int :rtype: int
- def guessNumber(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 guessNumber(self, n): :type n: int :rtype: int
- def guessNumber(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def guessNumber(self, n):
""":t... | 4add324fb1cc41fee21fcb7c84083facbf18997e | <|skeleton|>
class Solution:
def guessNumber(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def guessNumber(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def guessNumber(self, n):
""":type n: int :rtype: int"""
low = 1
high = n
while low <= high:
mid = low + (high - low) // 2
ans = guess(mid)
if ans == 0:
return mid
elif ans == 1:
high = mi... | the_stack_v2_python_sparse | guess_number_higher_or_lower_374.py | taibaili/Pylc | train | 0 | |
82171a6c0a78b947813eab1a9dd5b4b71882e704 | [
"tailA = headA\nwhile tailA.next:\n tailA = tailA.next\ntailA.next = headB\nfast, slow = (headA.next.next, headA.next)\nwhile fast and fast.next and (fast != slow):\n fast = fast.next.next\n slow = slow.next\nif not fast or not fast.next:\n tailA.next = None\n return None\nfast = headA\nwhile fast !=... | <|body_start_0|>
tailA = headA
while tailA.next:
tailA = tailA.next
tailA.next = headB
fast, slow = (headA.next.next, headA.next)
while fast and fast.next and (fast != slow):
fast = fast.next.next
slow = slow.next
if not fast or not fas... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
"""AC: 06/06/2022 Runtime: 213 ms, faster than 48.04% Memory Usage: 29.5 MB, less than 69.35% :param headA: :param headB: The number of nodes of listA is in the m. The number of nodes of lis... | stack_v2_sparse_classes_36k_train_022677 | 2,970 | permissive | [
{
"docstring": "AC: 06/06/2022 Runtime: 213 ms, faster than 48.04% Memory Usage: 29.5 MB, less than 69.35% :param headA: :param headB: The number of nodes of listA is in the m. The number of nodes of listB is in the n. 1 <= m, n <= 3 * 10^4 1 <= Node.val <= 10^5 0 <= skipA < m 0 <= skipB < n intersectVal is 0 i... | 2 | stack_v2_sparse_classes_30k_train_019318 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]: AC: 06/06/2022 Runtime: 213 ms, faster than 48.04% Memory Usage: 29.5 MB, less than 69.35%... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]: AC: 06/06/2022 Runtime: 213 ms, faster than 48.04% Memory Usage: 29.5 MB, less than 69.35%... | 4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5 | <|skeleton|>
class Solution:
def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
"""AC: 06/06/2022 Runtime: 213 ms, faster than 48.04% Memory Usage: 29.5 MB, less than 69.35% :param headA: :param headB: The number of nodes of listA is in the m. The number of nodes of lis... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def getIntersectionNode2(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
"""AC: 06/06/2022 Runtime: 213 ms, faster than 48.04% Memory Usage: 29.5 MB, less than 69.35% :param headA: :param headB: The number of nodes of listA is in the m. The number of nodes of listB is in the n... | the_stack_v2_python_sparse | src/160-IntersectionofTwoLinkedLists.py | Jiezhi/myleetcode | train | 1 | |
da2c3febebe42f269d2b0802d4378863d8d970ee | [
"this_user = self.context['request'].user\nworkflow = validated_data['workflow']\nif workflow.user != this_user:\n raise APIException(_('Incorrect permission to manipulate workflow.'))\naction = validated_data['action']\nif action is not None and action.workflow != workflow:\n raise APIException(_('Incorrect ... | <|body_start_0|>
this_user = self.context['request'].user
workflow = validated_data['workflow']
if workflow.user != this_user:
raise APIException(_('Incorrect permission to manipulate workflow.'))
action = validated_data['action']
if action is not None and action.work... | Serializer to take care of a few fields and the item column. | ScheduledOperationSerializer | [
"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 ScheduledOperationSerializer:
"""Serializer to take care of a few fields and the item column."""
def extra_validation(self, validated_data: Dict):
"""Check for extra properties. Checking for extra properties in the information contained in the validated data. Namely: - The action nam... | stack_v2_sparse_classes_36k_train_022678 | 8,568 | permissive | [
{
"docstring": "Check for extra properties. Checking for extra properties in the information contained in the validated data. Namely: - The action name corresponds with a valid action for the user. - The execution time must be in the future - The received object has a payload - The item_column, if present, must... | 3 | null | Implement the Python class `ScheduledOperationSerializer` described below.
Class description:
Serializer to take care of a few fields and the item column.
Method signatures and docstrings:
- def extra_validation(self, validated_data: Dict): Check for extra properties. Checking for extra properties in the information ... | Implement the Python class `ScheduledOperationSerializer` described below.
Class description:
Serializer to take care of a few fields and the item column.
Method signatures and docstrings:
- def extra_validation(self, validated_data: Dict): Check for extra properties. Checking for extra properties in the information ... | c432745dfff932cbe7397100422d49df78f0a882 | <|skeleton|>
class ScheduledOperationSerializer:
"""Serializer to take care of a few fields and the item column."""
def extra_validation(self, validated_data: Dict):
"""Check for extra properties. Checking for extra properties in the information contained in the validated data. Namely: - The action nam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ScheduledOperationSerializer:
"""Serializer to take care of a few fields and the item column."""
def extra_validation(self, validated_data: Dict):
"""Check for extra properties. Checking for extra properties in the information contained in the validated data. Namely: - The action name corresponds... | the_stack_v2_python_sparse | ontask/scheduler/serializers.py | abelardopardo/ontask_b | train | 43 |
17a37e96b9caf44c6518a5e843566ef4ae767f43 | [
"self._requirements: Dict[str, Dict] = requirements\nself.__sha_algorithm: str = sha_algorithm\nself.__download: Callable = download_func\nself.__download_args: Dict = download_func_args or {}\nself.__check_connection: Callable = check_connection or (lambda addr: True)",
"if requirement[self.__sha_algorithm] != S... | <|body_start_0|>
self._requirements: Dict[str, Dict] = requirements
self.__sha_algorithm: str = sha_algorithm
self.__download: Callable = download_func
self.__download_args: Dict = download_func_args or {}
self.__check_connection: Callable = check_connection or (lambda addr: True... | Wrapper for downloading requirements with checksum validation. | BaseDownloader | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseDownloader:
"""Wrapper for downloading requirements with checksum validation."""
def __init__(self, requirements: Dict[str, Dict], sha_algorithm: str, download_func: Callable, download_func_args: Dict=None, check_connection: Callable=None):
""":param requirements: data from parse... | stack_v2_sparse_classes_36k_train_022679 | 4,097 | permissive | [
{
"docstring": ":param requirements: data from parsed requirements file :param sha_algorithm: which algorithm will be used in validating the requirements :param download_func: back end function used for downloading the requirements :param download_func_args: optional args passed to the `download_func` :param ch... | 3 | null | Implement the Python class `BaseDownloader` described below.
Class description:
Wrapper for downloading requirements with checksum validation.
Method signatures and docstrings:
- def __init__(self, requirements: Dict[str, Dict], sha_algorithm: str, download_func: Callable, download_func_args: Dict=None, check_connect... | Implement the Python class `BaseDownloader` described below.
Class description:
Wrapper for downloading requirements with checksum validation.
Method signatures and docstrings:
- def __init__(self, requirements: Dict[str, Dict], sha_algorithm: str, download_func: Callable, download_func_args: Dict=None, check_connect... | 6c917422dfa831ffb3eb7f8f5a616bc074734b66 | <|skeleton|>
class BaseDownloader:
"""Wrapper for downloading requirements with checksum validation."""
def __init__(self, requirements: Dict[str, Dict], sha_algorithm: str, download_func: Callable, download_func_args: Dict=None, check_connection: Callable=None):
""":param requirements: data from parse... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseDownloader:
"""Wrapper for downloading requirements with checksum validation."""
def __init__(self, requirements: Dict[str, Dict], sha_algorithm: str, download_func: Callable, download_func_args: Dict=None, check_connection: Callable=None):
""":param requirements: data from parsed requirement... | the_stack_v2_python_sparse | ansible/playbooks/roles/repository/files/download-requirements/src/downloader/base_downloader.py | seriva/epiphany | train | 1 |
99c58e84b8f4739ae6f1c44654c687c14c7c0057 | [
"if data['status'] == JSendStatus.SUCCESS or data['status'] == JSendStatus.FAIL:\n if 'data' not in data:\n raise ValidationError(f\"When status is {data['status']}, the data field must be populated.\")\nif data['status'] == JSendStatus.FAIL:\n if 'message' not in data['data']:\n raise Validatio... | <|body_start_0|>
if data['status'] == JSendStatus.SUCCESS or data['status'] == JSendStatus.FAIL:
if 'data' not in data:
raise ValidationError(f"When status is {data['status']}, the data field must be populated.")
if data['status'] == JSendStatus.FAIL:
if 'message'... | A Schema that encapsulates the logic of the `JSend Format`_. .. _`JSend Format`: https://labs.omniti.com/labs/jsend | JSendSchema | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JSendSchema:
"""A Schema that encapsulates the logic of the `JSend Format`_. .. _`JSend Format`: https://labs.omniti.com/labs/jsend"""
def assert_fields(self, data, **kwargs):
"""Asserts that, according to the specification: - the ``data`` field is included when the status is :attr:`... | stack_v2_sparse_classes_36k_train_022680 | 2,641 | permissive | [
{
"docstring": "Asserts that, according to the specification: - the ``data`` field is included when the status is :attr:`~JSendStatus.SUCCESS` or :attr:`~JSendStatus.FAIL` - the ``message`` field is included when the status is :attr:`~JSendStatus.ERROR`",
"name": "assert_fields",
"signature": "def asser... | 2 | null | Implement the Python class `JSendSchema` described below.
Class description:
A Schema that encapsulates the logic of the `JSend Format`_. .. _`JSend Format`: https://labs.omniti.com/labs/jsend
Method signatures and docstrings:
- def assert_fields(self, data, **kwargs): Asserts that, according to the specification: - ... | Implement the Python class `JSendSchema` described below.
Class description:
A Schema that encapsulates the logic of the `JSend Format`_. .. _`JSend Format`: https://labs.omniti.com/labs/jsend
Method signatures and docstrings:
- def assert_fields(self, data, **kwargs): Asserts that, according to the specification: - ... | fc6f9230e4701cbddcb16d7257fddb9ff08bddb9 | <|skeleton|>
class JSendSchema:
"""A Schema that encapsulates the logic of the `JSend Format`_. .. _`JSend Format`: https://labs.omniti.com/labs/jsend"""
def assert_fields(self, data, **kwargs):
"""Asserts that, according to the specification: - the ``data`` field is included when the status is :attr:`... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JSendSchema:
"""A Schema that encapsulates the logic of the `JSend Format`_. .. _`JSend Format`: https://labs.omniti.com/labs/jsend"""
def assert_fields(self, data, **kwargs):
"""Asserts that, according to the specification: - the ``data`` field is included when the status is :attr:`~JSendStatus.... | the_stack_v2_python_sparse | server/serializer/jsend.py | dragorhast/server | train | 6 |
5da0dd8aae32f282d4a2182b7aa81dc4343397b1 | [
"try:\n server = smtplib.SMTP(host, port)\n server.ehlo()\n server.starttls()\n server.ehlo()\n server.login(username, password)\n return server\nexcept smtplib.SMTPException as e:\n logger.error('Could not establish SMTP connection: {}'.format(e))\n raise e",
"bcc = to\nmessage = MIMEMult... | <|body_start_0|>
try:
server = smtplib.SMTP(host, port)
server.ehlo()
server.starttls()
server.ehlo()
server.login(username, password)
return server
except smtplib.SMTPException as e:
logger.error('Could not establish SM... | Creates connection and mail message body. | Emailer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Emailer:
"""Creates connection and mail message body."""
def run_server(self, host, port, username, password):
"""This function manages connection to SMTP or ESMTP server. Args: - host: host name - port: host port - username: username on the host server - password: password on the ho... | stack_v2_sparse_classes_36k_train_022681 | 1,797 | no_license | [
{
"docstring": "This function manages connection to SMTP or ESMTP server. Args: - host: host name - port: host port - username: username on the host server - password: password on the host server",
"name": "run_server",
"signature": "def run_server(self, host, port, username, password)"
},
{
"do... | 2 | null | Implement the Python class `Emailer` described below.
Class description:
Creates connection and mail message body.
Method signatures and docstrings:
- def run_server(self, host, port, username, password): This function manages connection to SMTP or ESMTP server. Args: - host: host name - port: host port - username: u... | Implement the Python class `Emailer` described below.
Class description:
Creates connection and mail message body.
Method signatures and docstrings:
- def run_server(self, host, port, username, password): This function manages connection to SMTP or ESMTP server. Args: - host: host name - port: host port - username: u... | e4bf166f3ffe226668396c8beba3d369b3b4428f | <|skeleton|>
class Emailer:
"""Creates connection and mail message body."""
def run_server(self, host, port, username, password):
"""This function manages connection to SMTP or ESMTP server. Args: - host: host name - port: host port - username: username on the host server - password: password on the ho... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Emailer:
"""Creates connection and mail message body."""
def run_server(self, host, port, username, password):
"""This function manages connection to SMTP or ESMTP server. Args: - host: host name - port: host port - username: username on the host server - password: password on the host server"""
... | the_stack_v2_python_sparse | notification_service/notification/handlers/emailer.py | timegenconsulting/tp-django-site | train | 0 |
deb205ba7e0ebde9727ba76a8ae2e43aa8068d9d | [
"user = get_user_from_username(request.user, username)\nis_self = user == request.user\nif is_self:\n shelves = user.shelf_set.all()\nelse:\n shelves = models.Shelf.privacy_filter(request.user).filter(user=user).all()\nif shelf_identifier:\n shelf = get_object_or_404(user.shelf_set, identifier=shelf_identi... | <|body_start_0|>
user = get_user_from_username(request.user, username)
is_self = user == request.user
if is_self:
shelves = user.shelf_set.all()
else:
shelves = models.Shelf.privacy_filter(request.user).filter(user=user).all()
if shelf_identifier:
... | shelf page | Shelf | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Shelf:
"""shelf page"""
def get(self, request, username, shelf_identifier=None):
"""display a shelf"""
<|body_0|>
def post(self, request, username, shelf_identifier):
"""edit a shelf"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user = get_use... | stack_v2_sparse_classes_36k_train_022682 | 5,096 | no_license | [
{
"docstring": "display a shelf",
"name": "get",
"signature": "def get(self, request, username, shelf_identifier=None)"
},
{
"docstring": "edit a shelf",
"name": "post",
"signature": "def post(self, request, username, shelf_identifier)"
}
] | 2 | null | Implement the Python class `Shelf` described below.
Class description:
shelf page
Method signatures and docstrings:
- def get(self, request, username, shelf_identifier=None): display a shelf
- def post(self, request, username, shelf_identifier): edit a shelf | Implement the Python class `Shelf` described below.
Class description:
shelf page
Method signatures and docstrings:
- def get(self, request, username, shelf_identifier=None): display a shelf
- def post(self, request, username, shelf_identifier): edit a shelf
<|skeleton|>
class Shelf:
"""shelf page"""
def ge... | 0f8da5b738047f3c34d60d93f59bdedd8f797224 | <|skeleton|>
class Shelf:
"""shelf page"""
def get(self, request, username, shelf_identifier=None):
"""display a shelf"""
<|body_0|>
def post(self, request, username, shelf_identifier):
"""edit a shelf"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Shelf:
"""shelf page"""
def get(self, request, username, shelf_identifier=None):
"""display a shelf"""
user = get_user_from_username(request.user, username)
is_self = user == request.user
if is_self:
shelves = user.shelf_set.all()
else:
shel... | the_stack_v2_python_sparse | bookwyrm/views/shelf/shelf.py | bookwyrm-social/bookwyrm | train | 1,398 |
a705c1dc4d518cdf234b011a27d35a60ed3cb0a9 | [
"super().__init__(experiment)\nfrom dials.algorithms.shoebox import MaskEmpirical\nself.mask_empirical = MaskEmpirical(reference)\nself._reference = reference",
"reflections = super().__call__(reflections, adjacency_list)\nif self.mask_empirical:\n self.mask_empirical(reflections)\nreturn reflections"
] | <|body_start_0|>
super().__init__(experiment)
from dials.algorithms.shoebox import MaskEmpirical
self.mask_empirical = MaskEmpirical(reference)
self._reference = reference
<|end_body_0|>
<|body_start_1|>
reflections = super().__call__(reflections, adjacency_list)
if self... | A class to perform empirical masking | MaskerEmpirical | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaskerEmpirical:
"""A class to perform empirical masking"""
def __init__(self, experiment, reference):
"""Initialise the masking algorithms Params: experiment The experiment data"""
<|body_0|>
def __call__(self, reflections, adjacency_list=None):
"""Mask the give... | stack_v2_sparse_classes_36k_train_022683 | 3,387 | permissive | [
{
"docstring": "Initialise the masking algorithms Params: experiment The experiment data",
"name": "__init__",
"signature": "def __init__(self, experiment, reference)"
},
{
"docstring": "Mask the given reflections. Params: reflections The reflection list adjacency_list The adjacency_list (option... | 2 | stack_v2_sparse_classes_30k_train_014737 | Implement the Python class `MaskerEmpirical` described below.
Class description:
A class to perform empirical masking
Method signatures and docstrings:
- def __init__(self, experiment, reference): Initialise the masking algorithms Params: experiment The experiment data
- def __call__(self, reflections, adjacency_list... | Implement the Python class `MaskerEmpirical` described below.
Class description:
A class to perform empirical masking
Method signatures and docstrings:
- def __init__(self, experiment, reference): Initialise the masking algorithms Params: experiment The experiment data
- def __call__(self, reflections, adjacency_list... | 88bf7f7c5ac44defc046ebf0719cde748092cfff | <|skeleton|>
class MaskerEmpirical:
"""A class to perform empirical masking"""
def __init__(self, experiment, reference):
"""Initialise the masking algorithms Params: experiment The experiment data"""
<|body_0|>
def __call__(self, reflections, adjacency_list=None):
"""Mask the give... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MaskerEmpirical:
"""A class to perform empirical masking"""
def __init__(self, experiment, reference):
"""Initialise the masking algorithms Params: experiment The experiment data"""
super().__init__(experiment)
from dials.algorithms.shoebox import MaskEmpirical
self.mask_e... | the_stack_v2_python_sparse | src/dials/algorithms/shoebox/masker.py | dials/dials | train | 71 |
e6fddc928ef5d0c98d399ded2897d080c5bc3fd0 | [
"jwt_value = self.get_jwt_value(request)\nif jwt_value is None:\n return None\ntry:\n payload = jwt_decode_handler(jwt_value)\nexcept jwt.ExpiredSignature:\n msg = _('Signature has expired.')\n raise exceptions.AuthenticationFailed(msg)\nexcept jwt.DecodeError:\n msg = _('Error decoding signature.')\... | <|body_start_0|>
jwt_value = self.get_jwt_value(request)
if jwt_value is None:
return None
try:
payload = jwt_decode_handler(jwt_value)
except jwt.ExpiredSignature:
msg = _('Signature has expired.')
raise exceptions.AuthenticationFailed(msg... | Token based authentication using the JSON Web Token standard. 重写jwt 单点登录token问题 用redis做状态 | MyBaseJSONWebTokenAuthentication | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyBaseJSONWebTokenAuthentication:
"""Token based authentication using the JSON Web Token standard. 重写jwt 单点登录token问题 用redis做状态"""
def authenticate(self, request):
"""Returns a two-tuple of `User` and token if a valid signature has been supplied using JWT-based authentication. Otherwi... | stack_v2_sparse_classes_36k_train_022684 | 16,023 | permissive | [
{
"docstring": "Returns a two-tuple of `User` and token if a valid signature has been supplied using JWT-based authentication. Otherwise returns `None`.",
"name": "authenticate",
"signature": "def authenticate(self, request)"
},
{
"docstring": "Returns an active user that matches the payload's u... | 2 | null | Implement the Python class `MyBaseJSONWebTokenAuthentication` described below.
Class description:
Token based authentication using the JSON Web Token standard. 重写jwt 单点登录token问题 用redis做状态
Method signatures and docstrings:
- def authenticate(self, request): Returns a two-tuple of `User` and token if a valid signature ... | Implement the Python class `MyBaseJSONWebTokenAuthentication` described below.
Class description:
Token based authentication using the JSON Web Token standard. 重写jwt 单点登录token问题 用redis做状态
Method signatures and docstrings:
- def authenticate(self, request): Returns a two-tuple of `User` and token if a valid signature ... | c9c143eaba6c06e3cee866669ec286e4d3cdbba8 | <|skeleton|>
class MyBaseJSONWebTokenAuthentication:
"""Token based authentication using the JSON Web Token standard. 重写jwt 单点登录token问题 用redis做状态"""
def authenticate(self, request):
"""Returns a two-tuple of `User` and token if a valid signature has been supplied using JWT-based authentication. Otherwi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyBaseJSONWebTokenAuthentication:
"""Token based authentication using the JSON Web Token standard. 重写jwt 单点登录token问题 用redis做状态"""
def authenticate(self, request):
"""Returns a two-tuple of `User` and token if a valid signature has been supplied using JWT-based authentication. Otherwise returns `N... | the_stack_v2_python_sparse | Python3/Tornado/apps/pg/PG_Client/clientadmin/serializers.py | youngqqcn/QBlockChainNotes | train | 37 |
c8b27eee8b5c9b83117c4c30bedf601980475f03 | [
"fig_legend = self.get_legend()\nif self.show_legend is not False and fig_legend is not None:\n fig_legend.set_visible(True)\nself.grid(grid_on=True)",
"de = CDensityEstimation(**params)\nxm, malicious_pdf = de.estimate_density(scores[ts.Y == 1])\nxb, benign_pdf = de.estimate_density(scores[ts.Y == 0])\nself.p... | <|body_start_0|>
fig_legend = self.get_legend()
if self.show_legend is not False and fig_legend is not None:
fig_legend.set_visible(True)
self.grid(grid_on=True)
<|end_body_0|>
<|body_start_1|>
de = CDensityEstimation(**params)
xm, malicious_pdf = de.estimate_density... | Plots for statistical functions. Custom plotting parameters can be specified. Currently parameters default: - `show_legend`: True. - grid: True. See Also -------- CPlot : basic subplot functions. CFigure : creates and handle figures. | CPlotStats | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CPlotStats:
"""Plots for statistical functions. Custom plotting parameters can be specified. Currently parameters default: - `show_legend`: True. - grid: True. See Also -------- CPlot : basic subplot functions. CFigure : creates and handle figures."""
def apply_params_stats(self):
""... | stack_v2_sparse_classes_36k_train_022685 | 1,328 | permissive | [
{
"docstring": "Apply defined parameters to active subplot.",
"name": "apply_params_stats",
"signature": "def apply_params_stats(self)"
},
{
"docstring": "Plot density estimation of benign and malicious class.",
"name": "plot_prob_density",
"signature": "def plot_prob_density(self, score... | 2 | stack_v2_sparse_classes_30k_train_013398 | Implement the Python class `CPlotStats` described below.
Class description:
Plots for statistical functions. Custom plotting parameters can be specified. Currently parameters default: - `show_legend`: True. - grid: True. See Also -------- CPlot : basic subplot functions. CFigure : creates and handle figures.
Method s... | Implement the Python class `CPlotStats` described below.
Class description:
Plots for statistical functions. Custom plotting parameters can be specified. Currently parameters default: - `show_legend`: True. - grid: True. See Also -------- CPlot : basic subplot functions. CFigure : creates and handle figures.
Method s... | 431373e65d8cfe2cb7cf042ce1a6c9519ea5a14a | <|skeleton|>
class CPlotStats:
"""Plots for statistical functions. Custom plotting parameters can be specified. Currently parameters default: - `show_legend`: True. - grid: True. See Also -------- CPlot : basic subplot functions. CFigure : creates and handle figures."""
def apply_params_stats(self):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CPlotStats:
"""Plots for statistical functions. Custom plotting parameters can be specified. Currently parameters default: - `show_legend`: True. - grid: True. See Also -------- CPlot : basic subplot functions. CFigure : creates and handle figures."""
def apply_params_stats(self):
"""Apply define... | the_stack_v2_python_sparse | src/secml/figure/_plots/c_plot_stats.py | Cinofix/secml | train | 0 |
a3cfd76931aa64d1a046a0d593bf94836548521a | [
"def preorder(root):\n if root:\n res.append(str(root.val))\n preorder(root.left)\n preorder(root.right)\nres = list()\npreorder(root)\nreturn ' '.join(res)",
"left = float('-inf')\nright = float('inf')\ndata = [int(val) for val in data.strip('[]{}').split(',')]\nlength = len(data)\nindex ... | <|body_start_0|>
def preorder(root):
if root:
res.append(str(root.val))
preorder(root.left)
preorder(root.right)
res = list()
preorder(root)
return ' '.join(res)
<|end_body_0|>
<|body_start_1|>
left = float('-inf')
... | 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_36k_train_022686 | 3,101 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 6b24724da055a08510c83c645455eaa4ed201298 | <|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_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def preorder(root):
if root:
res.append(str(root.val))
preorder(root.left)
preorder(root.right)
res = list()
p... | the_stack_v2_python_sparse | Tree/python/leetcode/serialize_and_deserialize_bst.py | sankeerth/Algorithms | train | 0 | |
da4151eeaac8516893d2ed4a718c5a7076952036 | [
"with open('sat.json', 'r') as infile:\n self._sat = json.load(infile)['data']\nself._headers = ['DBN', 'School Name', 'Number of Test Takers', 'Critical Reading Mean', 'Mathematics Mean', 'Writing Mean']",
"with open('output.csv', 'w') as outfile:\n for i in range(0, 5):\n outfile.write(self._header... | <|body_start_0|>
with open('sat.json', 'r') as infile:
self._sat = json.load(infile)['data']
self._headers = ['DBN', 'School Name', 'Number of Test Takers', 'Critical Reading Mean', 'Mathematics Mean', 'Writing Mean']
<|end_body_0|>
<|body_start_1|>
with open('output.csv', 'w') as o... | SatData | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SatData:
def __init__(self):
"""Initializes the SatData object and reads in the .json file"""
<|body_0|>
def save_as_csv(self, DBNs):
"""This method takes a list of district bureau numbers and saves a CSV file"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_022687 | 1,403 | no_license | [
{
"docstring": "Initializes the SatData object and reads in the .json file",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "This method takes a list of district bureau numbers and saves a CSV file",
"name": "save_as_csv",
"signature": "def save_as_csv(self, DBNs... | 2 | stack_v2_sparse_classes_30k_train_011631 | Implement the Python class `SatData` described below.
Class description:
Implement the SatData class.
Method signatures and docstrings:
- def __init__(self): Initializes the SatData object and reads in the .json file
- def save_as_csv(self, DBNs): This method takes a list of district bureau numbers and saves a CSV fi... | Implement the Python class `SatData` described below.
Class description:
Implement the SatData class.
Method signatures and docstrings:
- def __init__(self): Initializes the SatData object and reads in the .json file
- def save_as_csv(self, DBNs): This method takes a list of district bureau numbers and saves a CSV fi... | 281749a4ac6961f146ebd9abaf79ccf641262619 | <|skeleton|>
class SatData:
def __init__(self):
"""Initializes the SatData object and reads in the .json file"""
<|body_0|>
def save_as_csv(self, DBNs):
"""This method takes a list of district bureau numbers and saves a CSV file"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SatData:
def __init__(self):
"""Initializes the SatData object and reads in the .json file"""
with open('sat.json', 'r') as infile:
self._sat = json.load(infile)['data']
self._headers = ['DBN', 'School Name', 'Number of Test Takers', 'Critical Reading Mean', 'Mathematics Me... | the_stack_v2_python_sparse | project 5/5c/SatData.py | huynmela/CS162 | train | 0 | |
6017b71578f433731fe772948cebaa8db7445fd0 | [
"self.subtrie = dict()\nself.isWord = False\nself.val = ''",
"if not word:\n self.isWord = True\n return\nif word[0] not in self.subtrie:\n t = Trie()\n t.val = word[0]\n self.subtrie[word[0]] = t\nself.subtrie[word[0]].insert(word[1:])",
"t = self\nfor v in word:\n if v in t.subtrie:\n ... | <|body_start_0|>
self.subtrie = dict()
self.isWord = False
self.val = ''
<|end_body_0|>
<|body_start_1|>
if not word:
self.isWord = True
return
if word[0] not in self.subtrie:
t = Trie()
t.val = word[0]
self.subtrie[wor... | Trie | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Trie:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, word):
"""Inserts a word into the trie. :type word: str :rtype: void"""
<|body_1|>
def search(self, word):
"""Returns if the word is in the trie. :ty... | stack_v2_sparse_classes_36k_train_022688 | 1,460 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inserts a word into the trie. :type word: str :rtype: void",
"name": "insert",
"signature": "def insert(self, word)"
},
{
"docstring": "Returns if the w... | 4 | null | Implement the Python class `Trie` described below.
Class description:
Implement the Trie class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, word): Inserts a word into the trie. :type word: str :rtype: void
- def search(self, word): Returns if the wor... | Implement the Python class `Trie` described below.
Class description:
Implement the Trie class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, word): Inserts a word into the trie. :type word: str :rtype: void
- def search(self, word): Returns if the wor... | 9eb44afa4233fdedc2e5c72be0fdf54b25d1c45c | <|skeleton|>
class Trie:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, word):
"""Inserts a word into the trie. :type word: str :rtype: void"""
<|body_1|>
def search(self, word):
"""Returns if the word is in the trie. :ty... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Trie:
def __init__(self):
"""Initialize your data structure here."""
self.subtrie = dict()
self.isWord = False
self.val = ''
def insert(self, word):
"""Inserts a word into the trie. :type word: str :rtype: void"""
if not word:
self.isWord = True... | the_stack_v2_python_sparse | Facebook/Pro208. Implement Trie (Prefix Tree).py | YoyinZyc/Leetcode_Python | train | 0 | |
44d6acc5c4a549324a4cfab6cd6e3ae09c0f0967 | [
"self.topic = cfg['topic']\nself.host = cfg['host']\nself.port = cfg['port']\nself.username = cfg['username']\nself.password = cfg['password']",
"LOGGER.debug('Sending message of triggered event | event: {0}'.format(msg))\nif self.username is not None and self.password is not None:\n publish.single(self.topic,... | <|body_start_0|>
self.topic = cfg['topic']
self.host = cfg['host']
self.port = cfg['port']
self.username = cfg['username']
self.password = cfg['password']
<|end_body_0|>
<|body_start_1|>
LOGGER.debug('Sending message of triggered event | event: {0}'.format(msg))
... | An MQTT implementation of a sender to dispatch the application's events. Methods: send | MqttSender | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MqttSender:
"""An MQTT implementation of a sender to dispatch the application's events. Methods: send"""
def __init__(self, cfg: dict):
"""MqttSender's constructor. Params ------ cfg: dict -- the MQTT sender adapter's configuration"""
<|body_0|>
def send(self, msg):
... | stack_v2_sparse_classes_36k_train_022689 | 4,940 | permissive | [
{
"docstring": "MqttSender's constructor. Params ------ cfg: dict -- the MQTT sender adapter's configuration",
"name": "__init__",
"signature": "def __init__(self, cfg: dict)"
},
{
"docstring": "View @app.domain.ports.QueueSender.",
"name": "send",
"signature": "def send(self, msg)"
}
... | 2 | stack_v2_sparse_classes_30k_train_001482 | Implement the Python class `MqttSender` described below.
Class description:
An MQTT implementation of a sender to dispatch the application's events. Methods: send
Method signatures and docstrings:
- def __init__(self, cfg: dict): MqttSender's constructor. Params ------ cfg: dict -- the MQTT sender adapter's configura... | Implement the Python class `MqttSender` described below.
Class description:
An MQTT implementation of a sender to dispatch the application's events. Methods: send
Method signatures and docstrings:
- def __init__(self, cfg: dict): MqttSender's constructor. Params ------ cfg: dict -- the MQTT sender adapter's configura... | 7192ef724ceed9aa60c03ee3bda2a97a8b532298 | <|skeleton|>
class MqttSender:
"""An MQTT implementation of a sender to dispatch the application's events. Methods: send"""
def __init__(self, cfg: dict):
"""MqttSender's constructor. Params ------ cfg: dict -- the MQTT sender adapter's configuration"""
<|body_0|>
def send(self, msg):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MqttSender:
"""An MQTT implementation of a sender to dispatch the application's events. Methods: send"""
def __init__(self, cfg: dict):
"""MqttSender's constructor. Params ------ cfg: dict -- the MQTT sender adapter's configuration"""
self.topic = cfg['topic']
self.host = cfg['hos... | the_stack_v2_python_sparse | app/adapters/mqtt.py | LucasRGoes/ports-adapters-sample | train | 43 |
689a23e578063f29e15e85e0fe6572fb5a382aa8 | [
"Figure.__init__(self, name=name)\nself.xvar, self.yvar = (xvar, yvar)\nself.render(data, **kwargs)",
"self.fig = self.create_figure(figsize)\nself.add_axes()\nself._add_markers(data[self.xvar], data[self.yvar], c='k', s=1)\nself.format()",
"_ = ax.spines['top'].set_visible(False)\n_ = ax.spines['right'].set_vi... | <|body_start_0|>
Figure.__init__(self, name=name)
self.xvar, self.yvar = (xvar, yvar)
self.render(data, **kwargs)
<|end_body_0|>
<|body_start_1|>
self.fig = self.create_figure(figsize)
self.add_axes()
self._add_markers(data[self.xvar], data[self.yvar], c='k', s=1)
... | Scatter points in XY plane. Attributes: xvar, yvar (str) - cell measurement features to be scattered Inherited attributes: name (str) - figure name directory (str) - default path for saving figure fig (matplotlib.figure.Figure) axes (matplotlib.axes.AxesSubplots) | Scatterplot | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scatterplot:
"""Scatter points in XY plane. Attributes: xvar, yvar (str) - cell measurement features to be scattered Inherited attributes: name (str) - figure name directory (str) - default path for saving figure fig (matplotlib.figure.Figure) axes (matplotlib.axes.AxesSubplots)"""
def __ini... | stack_v2_sparse_classes_36k_train_022690 | 8,479 | permissive | [
{
"docstring": "Instantiate scatter plot. Args: data (pd.DataFrame) - selected cell measurement data xvar, yvar (str) - cell measurement features to be scattered name (str) - figure name kwargs: keyword arguments for",
"name": "__init__",
"signature": "def __init__(self, data, xvar, yvar, name, **kwargs... | 3 | stack_v2_sparse_classes_30k_train_003531 | Implement the Python class `Scatterplot` described below.
Class description:
Scatter points in XY plane. Attributes: xvar, yvar (str) - cell measurement features to be scattered Inherited attributes: name (str) - figure name directory (str) - default path for saving figure fig (matplotlib.figure.Figure) axes (matplotl... | Implement the Python class `Scatterplot` described below.
Class description:
Scatter points in XY plane. Attributes: xvar, yvar (str) - cell measurement features to be scattered Inherited attributes: name (str) - figure name directory (str) - default path for saving figure fig (matplotlib.figure.Figure) axes (matplotl... | 4a622c3f5fed4456c3b9240f5a96428789fde9bd | <|skeleton|>
class Scatterplot:
"""Scatter points in XY plane. Attributes: xvar, yvar (str) - cell measurement features to be scattered Inherited attributes: name (str) - figure name directory (str) - default path for saving figure fig (matplotlib.figure.Figure) axes (matplotlib.axes.AxesSubplots)"""
def __ini... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Scatterplot:
"""Scatter points in XY plane. Attributes: xvar, yvar (str) - cell measurement features to be scattered Inherited attributes: name (str) - figure name directory (str) - default path for saving figure fig (matplotlib.figure.Figure) axes (matplotlib.axes.AxesSubplots)"""
def __init__(self, dat... | the_stack_v2_python_sparse | flyqma/visualization/figures.py | sbernasek/flyqma | train | 1 |
7e766aacfad92a5527b3fcebb8cd70b350e09244 | [
"self._base_item = None\nif description is None:\n description = name\nif description in translations:\n self._base_item = description + ':'\n description = translations[description].get_string(**tokens)\nsuper().__init__(cvar_prefix + name, default, description, flags, min_value, max_value)\nself.translat... | <|body_start_0|>
self._base_item = None
if description is None:
description = name
if description in translations:
self._base_item = description + ':'
description = translations[description].get_string(**tokens)
super().__init__(cvar_prefix + name, def... | Class used to more easily add translations for cvars in config files. | _GunGameCvarManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _GunGameCvarManager:
"""Class used to more easily add translations for cvars in config files."""
def __init__(self, name, default, description, flags, min_value, max_value, cvar_prefix, translations, **tokens):
"""Get the true description and store the translations."""
<|body... | stack_v2_sparse_classes_36k_train_022691 | 4,371 | no_license | [
{
"docstring": "Get the true description and store the translations.",
"name": "__init__",
"signature": "def __init__(self, name, default, description, flags, min_value, max_value, cvar_prefix, translations, **tokens)"
},
{
"docstring": "Add all other text for the ConVar.",
"name": "add_text... | 2 | null | Implement the Python class `_GunGameCvarManager` described below.
Class description:
Class used to more easily add translations for cvars in config files.
Method signatures and docstrings:
- def __init__(self, name, default, description, flags, min_value, max_value, cvar_prefix, translations, **tokens): Get the true ... | Implement the Python class `_GunGameCvarManager` described below.
Class description:
Class used to more easily add translations for cvars in config files.
Method signatures and docstrings:
- def __init__(self, name, default, description, flags, min_value, max_value, cvar_prefix, translations, **tokens): Get the true ... | dd76d1f581a1a8aff18c2194834665fa66a82aab | <|skeleton|>
class _GunGameCvarManager:
"""Class used to more easily add translations for cvars in config files."""
def __init__(self, name, default, description, flags, min_value, max_value, cvar_prefix, translations, **tokens):
"""Get the true description and store the translations."""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _GunGameCvarManager:
"""Class used to more easily add translations for cvars in config files."""
def __init__(self, name, default, description, flags, min_value, max_value, cvar_prefix, translations, **tokens):
"""Get the true description and store the translations."""
self._base_item = N... | the_stack_v2_python_sparse | addons/source-python/plugins/gungame/core/config/manager.py | Hackmastr/GunGame-SP | train | 0 |
4509f180ef7bf4824c3b1b75f3778c87553dce86 | [
"super(AdaptiveLossFunction, self).__init__(name=name)\n_check_scale(scale_lo, scale_init)\nif not np.isscalar(alpha_lo):\n raise ValueError('`alpha_lo` must be a scalar, but is of type {}'.format(type(alpha_lo)))\nif not np.isscalar(alpha_hi):\n raise ValueError('`alpha_hi` must be a scalar, but is of type {... | <|body_start_0|>
super(AdaptiveLossFunction, self).__init__(name=name)
_check_scale(scale_lo, scale_init)
if not np.isscalar(alpha_lo):
raise ValueError('`alpha_lo` must be a scalar, but is of type {}'.format(type(alpha_lo)))
if not np.isscalar(alpha_hi):
raise Va... | Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. This loss only allows for rank-2 inputs, and expec... | AdaptiveLossFunction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdaptiveLossFunction:
"""Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. Th... | stack_v2_sparse_classes_36k_train_022692 | 23,679 | permissive | [
{
"docstring": "Constructs the loss function. Args: num_channels: the number of different \"channels\" for the adaptive loss function, where each channel will be assigned its own shape (alpha) and scale parameters that are constructed as variables and can be optimized over. float_dtype: The expected numerical p... | 4 | stack_v2_sparse_classes_30k_test_000073 | Implement the Python class `AdaptiveLossFunction` described below.
Class description:
Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, a... | Implement the Python class `AdaptiveLossFunction` described below.
Class description:
Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, a... | 727ec399ad17b4dd1f71ce69a26fc3b0371d9fa7 | <|skeleton|>
class AdaptiveLossFunction:
"""Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. Th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdaptiveLossFunction:
"""Implements the adaptive form of the general loss for matrix inputs. This loss behaves differently from general.lossfun() and distribution.nllfun(), which are "stateless", allow the caller to specify the shape and scale of the loss, and allow for arbitrary sized inputs. This loss only ... | the_stack_v2_python_sparse | robust_loss/adaptive.py | Ayoob7/google-research | train | 2 |
1c6b3eb5a901c2524b83e570236be272a60cdbed | [
"if user not in connector:\n uuid = str(uuid4())\n connector.setdefault(uuid, user)\n logger.debug('用户：%s,加入连接' % connector.get(uuid))\n return uuid",
"logger.debug('用户：%s,断开连接' % uuid)\ntry:\n del connector[uuid]\nexcept Exception as e:\n logger.error(e)\nelse:\n logger.success('成功清理用户：%s连接信... | <|body_start_0|>
if user not in connector:
uuid = str(uuid4())
connector.setdefault(uuid, user)
logger.debug('用户：%s,加入连接' % connector.get(uuid))
return uuid
<|end_body_0|>
<|body_start_1|>
logger.debug('用户：%s,断开连接' % uuid)
try:
del con... | 用户控制及推送 | PushCore | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PushCore:
"""用户控制及推送"""
def user_connect(user):
"""pass :param user: :return:"""
<|body_0|>
def user_remove(uuid):
"""pass :param uuid: :return:"""
<|body_1|>
def trigger(message, uuid=None):
"""向已被记录的客户端推送最新内容 :param uuid: :param message: :r... | stack_v2_sparse_classes_36k_train_022693 | 2,077 | no_license | [
{
"docstring": "pass :param user: :return:",
"name": "user_connect",
"signature": "def user_connect(user)"
},
{
"docstring": "pass :param uuid: :return:",
"name": "user_remove",
"signature": "def user_remove(uuid)"
},
{
"docstring": "向已被记录的客户端推送最新内容 :param uuid: :param message: :... | 3 | stack_v2_sparse_classes_30k_train_019381 | Implement the Python class `PushCore` described below.
Class description:
用户控制及推送
Method signatures and docstrings:
- def user_connect(user): pass :param user: :return:
- def user_remove(uuid): pass :param uuid: :return:
- def trigger(message, uuid=None): 向已被记录的客户端推送最新内容 :param uuid: :param message: :return: | Implement the Python class `PushCore` described below.
Class description:
用户控制及推送
Method signatures and docstrings:
- def user_connect(user): pass :param user: :return:
- def user_remove(uuid): pass :param uuid: :return:
- def trigger(message, uuid=None): 向已被记录的客户端推送最新内容 :param uuid: :param message: :return:
<|skele... | 00ca5023d500a0f08389fb1b961776808cd260ab | <|skeleton|>
class PushCore:
"""用户控制及推送"""
def user_connect(user):
"""pass :param user: :return:"""
<|body_0|>
def user_remove(uuid):
"""pass :param uuid: :return:"""
<|body_1|>
def trigger(message, uuid=None):
"""向已被记录的客户端推送最新内容 :param uuid: :param message: :r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PushCore:
"""用户控制及推送"""
def user_connect(user):
"""pass :param user: :return:"""
if user not in connector:
uuid = str(uuid4())
connector.setdefault(uuid, user)
logger.debug('用户：%s,加入连接' % connector.get(uuid))
return uuid
def user_remove... | the_stack_v2_python_sparse | Core/ConnectCore.py | Clare-York/tornado_demo | train | 1 |
c09dd5c06160b9e5c00ea28e0610d0f0268def4d | [
"if level is None:\n self.logLevel = logging.INFO\nelse:\n pass",
"logger = logging.getLogger(_name)\nlogger.setLevel(self.logLevel)\nhandler = logging.FileHandler('output_files/log_examp.log')\nhandler.setLevel(self.logLevel)\nformatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(messag... | <|body_start_0|>
if level is None:
self.logLevel = logging.INFO
else:
pass
<|end_body_0|>
<|body_start_1|>
logger = logging.getLogger(_name)
logger.setLevel(self.logLevel)
handler = logging.FileHandler('output_files/log_examp.log')
handler.setLeve... | DOCSTRING. | CfgLogger | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CfgLogger:
"""DOCSTRING."""
def __init__(self, level=None):
"""DOCSTRING."""
<|body_0|>
def create_logger(self, _name):
"""DOCSTRING."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if level is None:
self.logLevel = logging.INFO
... | stack_v2_sparse_classes_36k_train_022694 | 836 | no_license | [
{
"docstring": "DOCSTRING.",
"name": "__init__",
"signature": "def __init__(self, level=None)"
},
{
"docstring": "DOCSTRING.",
"name": "create_logger",
"signature": "def create_logger(self, _name)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011031 | Implement the Python class `CfgLogger` described below.
Class description:
DOCSTRING.
Method signatures and docstrings:
- def __init__(self, level=None): DOCSTRING.
- def create_logger(self, _name): DOCSTRING. | Implement the Python class `CfgLogger` described below.
Class description:
DOCSTRING.
Method signatures and docstrings:
- def __init__(self, level=None): DOCSTRING.
- def create_logger(self, _name): DOCSTRING.
<|skeleton|>
class CfgLogger:
"""DOCSTRING."""
def __init__(self, level=None):
"""DOCSTRIN... | 4c4b8fb381c8d98980e119f7f73f393034393468 | <|skeleton|>
class CfgLogger:
"""DOCSTRING."""
def __init__(self, level=None):
"""DOCSTRING."""
<|body_0|>
def create_logger(self, _name):
"""DOCSTRING."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CfgLogger:
"""DOCSTRING."""
def __init__(self, level=None):
"""DOCSTRING."""
if level is None:
self.logLevel = logging.INFO
else:
pass
def create_logger(self, _name):
"""DOCSTRING."""
logger = logging.getLogger(_name)
logger.set... | the_stack_v2_python_sparse | Python_Scripts/config/log.py | jommysmoth/ECE_Music | train | 0 |
2bc999e8f14c573c2c3b44bfaec1a05889999048 | [
"if not lists:\n return\nelif len(lists) == 1:\n return lists[0]\nmid = len(lists) // 2\nleft = self.mergeKLists(lists[:mid])\nright = self.mergeKLists(lists[mid:])\nreturn self.mergeTwoLists(left, right)",
"pre = ListNode(-1)\ncur = pre\nwhile l1 and l2:\n if l1.val <= l2.val:\n cur.next = l1\n ... | <|body_start_0|>
if not lists:
return
elif len(lists) == 1:
return lists[0]
mid = len(lists) // 2
left = self.mergeKLists(lists[:mid])
right = self.mergeKLists(lists[mid:])
return self.mergeTwoLists(left, right)
<|end_body_0|>
<|body_start_1|>
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_0|>
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not l... | stack_v2_sparse_classes_36k_train_022695 | 1,125 | permissive | [
{
"docstring": ":type lists: List[ListNode] :rtype: ListNode",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists)"
},
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011036 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
<|skeleton|>... | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_0|>
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
if not lists:
return
elif len(lists) == 1:
return lists[0]
mid = len(lists) // 2
left = self.mergeKLists(lists[:mid])
right = self.mergeKLists(list... | the_stack_v2_python_sparse | 1stRound/Hard/23-Merge K Sorted Lists/Merge2ListRecursion.py | ericchen12377/Leetcode-Algorithm-Python | train | 2 | |
b8173d8f3c95d53202e04eb9aeac4ea64e95ce78 | [
"ws = cls.get_source_values(index_chunk, f'windspeed_{height}m', source_files)\nwd = cls.get_source_values(index_chunk, f'winddirection_{height}m', source_files)\nu = ws * np.sin(np.radians(wd))\nv = ws * np.cos(np.radians(wd))\nreturn (u, v)",
"ws = np.hypot(u, v)\nwd = np.rad2deg(np.arctan2(u, v))\nwd = (wd + 3... | <|body_start_0|>
ws = cls.get_source_values(index_chunk, f'windspeed_{height}m', source_files)
wd = cls.get_source_values(index_chunk, f'winddirection_{height}m', source_files)
u = ws * np.sin(np.radians(wd))
v = ws * np.cos(np.radians(wd))
return (u, v)
<|end_body_0|>
<|body_st... | Class to regrid windspeed and winddirection. Includes methods for converting windspeed and winddirection to U and V and inverting after interpolation | WindRegridder | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindRegridder:
"""Class to regrid windspeed and winddirection. Includes methods for converting windspeed and winddirection to U and V and inverting after interpolation"""
def get_source_uv(cls, index_chunk, height, source_files):
"""Get u/v wind components from windspeed and winddire... | stack_v2_sparse_classes_36k_train_022696 | 29,957 | permissive | [
{
"docstring": "Get u/v wind components from windspeed and winddirection Parameters ---------- index_chunk : ndarray Chunk of the full array of indices where indices[i] gives the list of coordinate indices in the source data to be used for interpolation for the i-th coordinate in the target data. (temporal, n_p... | 3 | stack_v2_sparse_classes_30k_train_003900 | Implement the Python class `WindRegridder` described below.
Class description:
Class to regrid windspeed and winddirection. Includes methods for converting windspeed and winddirection to U and V and inverting after interpolation
Method signatures and docstrings:
- def get_source_uv(cls, index_chunk, height, source_fi... | Implement the Python class `WindRegridder` described below.
Class description:
Class to regrid windspeed and winddirection. Includes methods for converting windspeed and winddirection to U and V and inverting after interpolation
Method signatures and docstrings:
- def get_source_uv(cls, index_chunk, height, source_fi... | f3803a823c7bb0afd7ab6064625908dca0be3476 | <|skeleton|>
class WindRegridder:
"""Class to regrid windspeed and winddirection. Includes methods for converting windspeed and winddirection to U and V and inverting after interpolation"""
def get_source_uv(cls, index_chunk, height, source_files):
"""Get u/v wind components from windspeed and winddire... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WindRegridder:
"""Class to regrid windspeed and winddirection. Includes methods for converting windspeed and winddirection to U and V and inverting after interpolation"""
def get_source_uv(cls, index_chunk, height, source_files):
"""Get u/v wind components from windspeed and winddirection Paramet... | the_stack_v2_python_sparse | sup3r/utilities/regridder.py | NREL/sup3r | train | 20 |
24f3a2d167a29d0f1bfa2f45095074a7f7c3d507 | [
"super(MySprite, self).__init__()\nself.images = [pygame.image.load(dir_images + f'walk_{i + 1:02d}.png') for i in range(10)]\nself.index = 0\nself.image = pygame.transform.smoothscale(self.images[self.index], WINDOW_SIZE)\nself.rect = self.image.get_rect()\nself.rect.topleft = START_POS",
"self.index += 1\nif se... | <|body_start_0|>
super(MySprite, self).__init__()
self.images = [pygame.image.load(dir_images + f'walk_{i + 1:02d}.png') for i in range(10)]
self.index = 0
self.image = pygame.transform.smoothscale(self.images[self.index], WINDOW_SIZE)
self.rect = self.image.get_rect()
se... | # pygame Sprite 속성을 상속 받는다 | MySprite | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySprite:
"""# pygame Sprite 속성을 상속 받는다"""
def __init__(self):
"""make image array & make rect"""
<|body_0|>
def update(self):
"""image update when it is called"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(MySprite, self).__init__()
... | stack_v2_sparse_classes_36k_train_022697 | 1,203 | no_license | [
{
"docstring": "make image array & make rect",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "image update when it is called",
"name": "update",
"signature": "def update(self)"
}
] | 2 | null | Implement the Python class `MySprite` described below.
Class description:
# pygame Sprite 속성을 상속 받는다
Method signatures and docstrings:
- def __init__(self): make image array & make rect
- def update(self): image update when it is called | Implement the Python class `MySprite` described below.
Class description:
# pygame Sprite 속성을 상속 받는다
Method signatures and docstrings:
- def __init__(self): make image array & make rect
- def update(self): image update when it is called
<|skeleton|>
class MySprite:
"""# pygame Sprite 속성을 상속 받는다"""
def __ini... | 68c8c6a94adc99005fb0fc8c38c416f902d37888 | <|skeleton|>
class MySprite:
"""# pygame Sprite 속성을 상속 받는다"""
def __init__(self):
"""make image array & make rect"""
<|body_0|>
def update(self):
"""image update when it is called"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MySprite:
"""# pygame Sprite 속성을 상속 받는다"""
def __init__(self):
"""make image array & make rect"""
super(MySprite, self).__init__()
self.images = [pygame.image.load(dir_images + f'walk_{i + 1:02d}.png') for i in range(10)]
self.index = 0
self.image = pygame.transfor... | the_stack_v2_python_sparse | module_pygame/pumpkin_walking/assets/sprite.py | onitonitonito/k_mooc_reboot | train | 0 |
649143f88d61d04528c416f1c4aa7e2166f94f4b | [
"self.caffe = Caffe.objects.create(name='kafo', city='Gliwice', street='Wieczorka', house_number='14', postal_code='44-100')\nself.filtry = Caffe.objects.create(name='filtry', city='Warszawa', street='Filry', house_number='14', postal_code='44-100')\nself.cat_first = Category.objects.create(name='first', caffe=self... | <|body_start_0|>
self.caffe = Caffe.objects.create(name='kafo', city='Gliwice', street='Wieczorka', house_number='14', postal_code='44-100')
self.filtry = Caffe.objects.create(name='filtry', city='Warszawa', street='Filry', house_number='14', postal_code='44-100')
self.cat_first = Category.objec... | ProductForm tests. | ProductFormTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductFormTest:
"""ProductForm tests."""
def setUp(self):
"""Test data setup."""
<|body_0|>
def test_product_form(self):
"""Check validation."""
<|body_1|>
def test_product_same_name(self):
"""Check if product with same name is properly hand... | stack_v2_sparse_classes_36k_train_022698 | 12,667 | permissive | [
{
"docstring": "Test data setup.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Check validation.",
"name": "test_product_form",
"signature": "def test_product_form(self)"
},
{
"docstring": "Check if product with same name is properly handled.",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_007911 | Implement the Python class `ProductFormTest` described below.
Class description:
ProductForm tests.
Method signatures and docstrings:
- def setUp(self): Test data setup.
- def test_product_form(self): Check validation.
- def test_product_same_name(self): Check if product with same name is properly handled. | Implement the Python class `ProductFormTest` described below.
Class description:
ProductForm tests.
Method signatures and docstrings:
- def setUp(self): Test data setup.
- def test_product_form(self): Check validation.
- def test_product_same_name(self): Check if product with same name is properly handled.
<|skeleto... | cdb7f5edb29255c7e874eaa6231621063210a8b0 | <|skeleton|>
class ProductFormTest:
"""ProductForm tests."""
def setUp(self):
"""Test data setup."""
<|body_0|>
def test_product_form(self):
"""Check validation."""
<|body_1|>
def test_product_same_name(self):
"""Check if product with same name is properly hand... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProductFormTest:
"""ProductForm tests."""
def setUp(self):
"""Test data setup."""
self.caffe = Caffe.objects.create(name='kafo', city='Gliwice', street='Wieczorka', house_number='14', postal_code='44-100')
self.filtry = Caffe.objects.create(name='filtry', city='Warszawa', street='... | the_stack_v2_python_sparse | caffe/reports/test_forms.py | VirrageS/io-kawiarnie | train | 3 |
9a271f9b08b3c1b6fd0d99f87872cbeb78d93115 | [
"if db_field.name == 'user':\n kwargs['queryset'] = User.objects.filter(id=request.user.id)\n kwargs['initial'] = request.user.id\nelif db_field.name == 'topic' and (not request.user.is_superuser):\n kwargs['queryset'] = Topic.objects.filter(id__in=request.user.profile.topics.all())\nreturn super(ExamAdmin... | <|body_start_0|>
if db_field.name == 'user':
kwargs['queryset'] = User.objects.filter(id=request.user.id)
kwargs['initial'] = request.user.id
elif db_field.name == 'topic' and (not request.user.is_superuser):
kwargs['queryset'] = Topic.objects.filter(id__in=request.us... | ExamAdmin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExamAdmin:
def formfield_for_foreignkey(self, db_field, request, **kwargs):
"""Assigns default value for User field. limits Topics field to user's topics."""
<|body_0|>
def formfield_for_manytomany(self, db_field, request, **kwargs):
"""Limits the choices of professo... | stack_v2_sparse_classes_36k_train_022699 | 9,167 | permissive | [
{
"docstring": "Assigns default value for User field. limits Topics field to user's topics.",
"name": "formfield_for_foreignkey",
"signature": "def formfield_for_foreignkey(self, db_field, request, **kwargs)"
},
{
"docstring": "Limits the choices of professors for the limit of user.",
"name"... | 3 | stack_v2_sparse_classes_30k_train_018249 | Implement the Python class `ExamAdmin` described below.
Class description:
Implement the ExamAdmin class.
Method signatures and docstrings:
- def formfield_for_foreignkey(self, db_field, request, **kwargs): Assigns default value for User field. limits Topics field to user's topics.
- def formfield_for_manytomany(self... | Implement the Python class `ExamAdmin` described below.
Class description:
Implement the ExamAdmin class.
Method signatures and docstrings:
- def formfield_for_foreignkey(self, db_field, request, **kwargs): Assigns default value for User field. limits Topics field to user's topics.
- def formfield_for_manytomany(self... | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | <|skeleton|>
class ExamAdmin:
def formfield_for_foreignkey(self, db_field, request, **kwargs):
"""Assigns default value for User field. limits Topics field to user's topics."""
<|body_0|>
def formfield_for_manytomany(self, db_field, request, **kwargs):
"""Limits the choices of professo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExamAdmin:
def formfield_for_foreignkey(self, db_field, request, **kwargs):
"""Assigns default value for User field. limits Topics field to user's topics."""
if db_field.name == 'user':
kwargs['queryset'] = User.objects.filter(id=request.user.id)
kwargs['initial'] = req... | the_stack_v2_python_sparse | cms/admin.py | Ibrahem3amer/bala7 | train | 0 |
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