blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 467 8.64k | id stringlengths 40 40 | length_bytes int64 515 49.7k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 160 3.93k | prompted_full_text stringlengths 681 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.09k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 331 8.3k | source stringclasses 1
value | source_path stringlengths 5 177 | source_repo stringlengths 6 88 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e661330204e9fe0062cfb9fc6c7a668abb66c9b2 | [
"self.barcode = barcode\nself.location = location\nself.online = online",
"if dictionary is None:\n return None\nbarcode = dictionary.get('barcode')\nlocation = dictionary.get('location')\nonline = dictionary.get('online')\nreturn cls(barcode, location, online)"
] | <|body_start_0|>
self.barcode = barcode
self.location = location
self.online = online
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
barcode = dictionary.get('barcode')
location = dictionary.get('location')
online = dictionary.get(... | Implementation of the 'TapeMediaInformation' model. Provides information about a single tape media in a QStar Archive Vault. Attributes: barcode (string): Specifies a unique identifier for the media. location (string): Specifies the location of the offline media as recorded by the backup administrator using media manag... | TapeMediaInformation | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TapeMediaInformation:
"""Implementation of the 'TapeMediaInformation' model. Provides information about a single tape media in a QStar Archive Vault. Attributes: barcode (string): Specifies a unique identifier for the media. location (string): Specifies the location of the offline media as record... | stack_v2_sparse_classes_10k_train_000200 | 2,046 | permissive | [
{
"docstring": "Constructor for the TapeMediaInformation class",
"name": "__init__",
"signature": "def __init__(self, barcode=None, location=None, online=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of th... | 2 | null | Implement the Python class `TapeMediaInformation` described below.
Class description:
Implementation of the 'TapeMediaInformation' model. Provides information about a single tape media in a QStar Archive Vault. Attributes: barcode (string): Specifies a unique identifier for the media. location (string): Specifies the ... | Implement the Python class `TapeMediaInformation` described below.
Class description:
Implementation of the 'TapeMediaInformation' model. Provides information about a single tape media in a QStar Archive Vault. Attributes: barcode (string): Specifies a unique identifier for the media. location (string): Specifies the ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class TapeMediaInformation:
"""Implementation of the 'TapeMediaInformation' model. Provides information about a single tape media in a QStar Archive Vault. Attributes: barcode (string): Specifies a unique identifier for the media. location (string): Specifies the location of the offline media as record... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TapeMediaInformation:
"""Implementation of the 'TapeMediaInformation' model. Provides information about a single tape media in a QStar Archive Vault. Attributes: barcode (string): Specifies a unique identifier for the media. location (string): Specifies the location of the offline media as recorded by the bac... | the_stack_v2_python_sparse | cohesity_management_sdk/models/tape_media_information.py | cohesity/management-sdk-python | train | 24 |
0126f64812040aae7c9392b31cee9eae8dc1bc8e | [
"self.azdeg = azdeg\nself.altdeg = altdeg\nself.hsv_min_val = hsv_min_val\nself.hsv_max_val = hsv_max_val\nself.hsv_min_sat = hsv_min_sat\nself.hsv_max_sat = hsv_max_sat",
"if minval == None:\n minval = data.min()\nnormdata = (data - minval) / (data.max() - minval)\nrgb0 = cmap(normdata)\nrgb1 = self.shade_rgb... | <|body_start_0|>
self.azdeg = azdeg
self.altdeg = altdeg
self.hsv_min_val = hsv_min_val
self.hsv_max_val = hsv_max_val
self.hsv_min_sat = hsv_min_sat
self.hsv_max_sat = hsv_max_sat
<|end_body_0|>
<|body_start_1|>
if minval == None:
minval = data.min()... | Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. The :meth:`shade` is used to produce rgb values for a shaded relief image given a data array. Original in matplotlib.colors, m... | LightSource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LightSource:
"""Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. The :meth:`shade` is used to produce rgb values for a shaded relief image given a data ... | stack_v2_sparse_classes_10k_train_000201 | 5,066 | no_license | [
{
"docstring": "Specify the azimuth (measured clockwise from south) and altitude (measured up from the plane of the surface) of the light source in degrees. The color of the resulting image will be darkened by moving the (s,v) values (in hsv colorspace) toward (hsv_min_sat, hsv_min_val) in the shaded regions, o... | 3 | stack_v2_sparse_classes_30k_train_002657 | Implement the Python class `LightSource` described below.
Class description:
Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. The :meth:`shade` is used to produce rgb values ... | Implement the Python class `LightSource` described below.
Class description:
Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. The :meth:`shade` is used to produce rgb values ... | 6e39008842de8a0fb4a9879b53b8a67339b37aff | <|skeleton|>
class LightSource:
"""Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. The :meth:`shade` is used to produce rgb values for a shaded relief image given a data ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LightSource:
"""Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. The :meth:`shade` is used to produce rgb values for a shaded relief image given a data array. Origin... | the_stack_v2_python_sparse | python/lib/myLightSource.py | gutmann/scripted_sufferin_succotash | train | 2 |
dc83002818180a7301698d0cdf59d8b35b05bd48 | [
"try:\n return super().emit(record)\nexcept FileNotFoundError:\n return self._emit_safely(record)\nexcept OSError as exception:\n if exception.errno == errno.ESTALE:\n return self._emit_safely(record)\n else:\n raise",
"ATTEMPTS_MAX = 8\nSLEEP_INTERVAL = 0.1\nfor attempt_index in range(A... | <|body_start_0|>
try:
return super().emit(record)
except FileNotFoundError:
return self._emit_safely(record)
except OSError as exception:
if exception.errno == errno.ESTALE:
return self._emit_safely(record)
else:
rai... | Process-safe rotating file handler. The standard :class:`RotatingFileHandler` class is thread- but *not* process-safe. Concurrent attempts to log to the same physical file from multiple processes can and typically will produce fatal race conditions producing raised exceptions from one or more of these processes. On log... | LogHandlerFileRotateSafe | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogHandlerFileRotateSafe:
"""Process-safe rotating file handler. The standard :class:`RotatingFileHandler` class is thread- but *not* process-safe. Concurrent attempts to log to the same physical file from multiple processes can and typically will produce fatal race conditions producing raised ex... | stack_v2_sparse_classes_10k_train_000202 | 17,464 | no_license | [
{
"docstring": "Log the passed logging record in a thread- *and* process-safe manner. Parameters ---------- record : LogRecord Logging record to be logged. Raises ---------- BetseLogRaceException If this method detects but fails to automatically resolve a logging race condition between multiple processes concur... | 2 | null | Implement the Python class `LogHandlerFileRotateSafe` described below.
Class description:
Process-safe rotating file handler. The standard :class:`RotatingFileHandler` class is thread- but *not* process-safe. Concurrent attempts to log to the same physical file from multiple processes can and typically will produce fa... | Implement the Python class `LogHandlerFileRotateSafe` described below.
Class description:
Process-safe rotating file handler. The standard :class:`RotatingFileHandler` class is thread- but *not* process-safe. Concurrent attempts to log to the same physical file from multiple processes can and typically will produce fa... | dd03ff5e3df3ef48d887a6566a6286fcd168880b | <|skeleton|>
class LogHandlerFileRotateSafe:
"""Process-safe rotating file handler. The standard :class:`RotatingFileHandler` class is thread- but *not* process-safe. Concurrent attempts to log to the same physical file from multiple processes can and typically will produce fatal race conditions producing raised ex... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LogHandlerFileRotateSafe:
"""Process-safe rotating file handler. The standard :class:`RotatingFileHandler` class is thread- but *not* process-safe. Concurrent attempts to log to the same physical file from multiple processes can and typically will produce fatal race conditions producing raised exceptions from... | the_stack_v2_python_sparse | betse/util/io/log/conf/logconfhandle.py | R-Stefano/betse-ml | train | 0 |
2953b686abaa2b3c6de42c0caabe3de2bd560112 | [
"n = len(stations)\nF = [0] * (n + 1)\nF[0] = startFuel\nfor i, (loc, cap) in enumerate(stations):\n for t in range(i, -1, -1):\n if F[t] >= loc:\n F[t + 1] = max(F[t + 1], F[t] + cap)\nfor i, d in enumerate(F):\n if d >= target:\n return i\nreturn -1",
"i = res = 0\npq = []\ncur = ... | <|body_start_0|>
n = len(stations)
F = [0] * (n + 1)
F[0] = startFuel
for i, (loc, cap) in enumerate(stations):
for t in range(i, -1, -1):
if F[t] >= loc:
F[t + 1] = max(F[t + 1], F[t] + cap)
for i, d in enumerate(F):
if... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minRefuelStopsDP(self, target, startFuel, stations):
""":type target: int :type startFuel: int :type stations: List[List[int]] :rtype: int"""
<|body_0|>
def minRefuelStops(self, target, startFuel, stations):
""":type target: int :type startFuel: int :ty... | stack_v2_sparse_classes_10k_train_000203 | 3,918 | no_license | [
{
"docstring": ":type target: int :type startFuel: int :type stations: List[List[int]] :rtype: int",
"name": "minRefuelStopsDP",
"signature": "def minRefuelStopsDP(self, target, startFuel, stations)"
},
{
"docstring": ":type target: int :type startFuel: int :type stations: List[List[int]] :rtype... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minRefuelStopsDP(self, target, startFuel, stations): :type target: int :type startFuel: int :type stations: List[List[int]] :rtype: int
- def minRefuelStops(self, target, sta... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minRefuelStopsDP(self, target, startFuel, stations): :type target: int :type startFuel: int :type stations: List[List[int]] :rtype: int
- def minRefuelStops(self, target, sta... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def minRefuelStopsDP(self, target, startFuel, stations):
""":type target: int :type startFuel: int :type stations: List[List[int]] :rtype: int"""
<|body_0|>
def minRefuelStops(self, target, startFuel, stations):
""":type target: int :type startFuel: int :ty... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def minRefuelStopsDP(self, target, startFuel, stations):
""":type target: int :type startFuel: int :type stations: List[List[int]] :rtype: int"""
n = len(stations)
F = [0] * (n + 1)
F[0] = startFuel
for i, (loc, cap) in enumerate(stations):
for t i... | the_stack_v2_python_sparse | M/MinimumNumberofRefuelingStops.py | bssrdf/pyleet | train | 2 | |
1fe89e0523c9160939709328d164a6fb22522b9e | [
"counter = 0\nwhile head:\n counter += 1\n head = head.next\nreturn counter",
"for i in range(size - 1):\n if not head:\n break\n head = head.next\nif not head:\n return None\nnext_start, head.next = (head.next, None)\nreturn next_start",
"curr = dummy_start\nwhile l1 and l2:\n if l1.va... | <|body_start_0|>
counter = 0
while head:
counter += 1
head = head.next
return counter
<|end_body_0|>
<|body_start_1|>
for i in range(size - 1):
if not head:
break
head = head.next
if not head:
return Non... | Algorithm: Bottom Up Merge Sort 1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is repeated for a sublist of size 2. In this way, we iteratively split the list in... | Solution2 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution2:
"""Algorithm: Bottom Up Merge Sort 1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is repeated for a sublist of size 2. In this ... | stack_v2_sparse_classes_10k_train_000204 | 4,593 | permissive | [
{
"docstring": "Count the length of the linked list",
"name": "get_size",
"signature": "def get_size(self, head: ListNode) -> int"
},
{
"docstring": "Given the head & size, return the start node of the next chunk",
"name": "split",
"signature": "def split(self, head: ListNode, size: int)... | 4 | null | Implement the Python class `Solution2` described below.
Class description:
Algorithm: Bottom Up Merge Sort 1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is rep... | Implement the Python class `Solution2` described below.
Class description:
Algorithm: Bottom Up Merge Sort 1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is rep... | 9f66d352c805fcdd9930aaa18c93d7546768287c | <|skeleton|>
class Solution2:
"""Algorithm: Bottom Up Merge Sort 1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is repeated for a sublist of size 2. In this ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution2:
"""Algorithm: Bottom Up Merge Sort 1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is repeated for a sublist of size 2. In this way, we itera... | the_stack_v2_python_sparse | medium/148_sort_list.py | niki4/leetcode_py3 | train | 0 |
56bab1c0af90187458995f68217f93e7f210ec5c | [
"for k, v in classdict.iteritems():\n if isinstance(v, TraitType):\n v._attr_name = k\n elif inspect.isclass(v):\n if issubclass(v, TraitType):\n vinst = v()\n vinst._attr_name = k\n classdict[k] = vinst\nreturn super(MetaHasTraits, mcls).__new__(mcls, name, base... | <|body_start_0|>
for k, v in classdict.iteritems():
if isinstance(v, TraitType):
v._attr_name = k
elif inspect.isclass(v):
if issubclass(v, TraitType):
vinst = v()
vinst._attr_name = k
classdict[k... | A metaclass for HasTraits. This metaclass makes sure that any TraitType class attributes are instantiated and sets their name attribute. | MetaHasTraits | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MetaHasTraits:
"""A metaclass for HasTraits. This metaclass makes sure that any TraitType class attributes are instantiated and sets their name attribute."""
def __new__(mcls, name, bases, classdict):
"""Create the HasTraits class. This instantiates all TraitTypes in the class dict a... | stack_v2_sparse_classes_10k_train_000205 | 34,850 | no_license | [
{
"docstring": "Create the HasTraits class. This instantiates all TraitTypes in the class dict and sets their :attr:`name` attribute.",
"name": "__new__",
"signature": "def __new__(mcls, name, bases, classdict)"
},
{
"docstring": "Finish initializing the HasTraits class. This sets the :attr:`thi... | 2 | null | Implement the Python class `MetaHasTraits` described below.
Class description:
A metaclass for HasTraits. This metaclass makes sure that any TraitType class attributes are instantiated and sets their name attribute.
Method signatures and docstrings:
- def __new__(mcls, name, bases, classdict): Create the HasTraits cl... | Implement the Python class `MetaHasTraits` described below.
Class description:
A metaclass for HasTraits. This metaclass makes sure that any TraitType class attributes are instantiated and sets their name attribute.
Method signatures and docstrings:
- def __new__(mcls, name, bases, classdict): Create the HasTraits cl... | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | <|skeleton|>
class MetaHasTraits:
"""A metaclass for HasTraits. This metaclass makes sure that any TraitType class attributes are instantiated and sets their name attribute."""
def __new__(mcls, name, bases, classdict):
"""Create the HasTraits class. This instantiates all TraitTypes in the class dict a... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MetaHasTraits:
"""A metaclass for HasTraits. This metaclass makes sure that any TraitType class attributes are instantiated and sets their name attribute."""
def __new__(mcls, name, bases, classdict):
"""Create the HasTraits class. This instantiates all TraitTypes in the class dict and sets their... | the_stack_v2_python_sparse | Extensions/Deal Package/FPythonCode/traitlets.py | webclinic017/fa-absa-py3 | train | 0 |
48ea98bd23f30124ef17e5a15fb824db40c94602 | [
"my_dim = symbol.shape[index]\nif isinstance(my_dim, ArrayType.ArrayBounds):\n lower_bound = my_dim.lower.copy()\n upper_bound = my_dim.upper.copy()\n step = Literal('1', INTEGER_TYPE)\n return (lower_bound, upper_bound, step)\nlower_bound = BinaryOperation.create(BinaryOperation.Operator.LBOUND, Refere... | <|body_start_0|>
my_dim = symbol.shape[index]
if isinstance(my_dim, ArrayType.ArrayBounds):
lower_bound = my_dim.lower.copy()
upper_bound = my_dim.upper.copy()
step = Literal('1', INTEGER_TYPE)
return (lower_bound, upper_bound, step)
lower_bound = ... | Provides a transformation from PSyIR Array Notation (a reference to an Array) to a PSyIR Range. For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranReader >>> from psyclone.psyir.nodes import Reference >>> from psyclone.psyir.transformations i... | Reference2ArrayRangeTrans | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Reference2ArrayRangeTrans:
"""Provides a transformation from PSyIR Array Notation (a reference to an Array) to a PSyIR Range. For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranReader >>> from psyclone.psyir.nodes impor... | stack_v2_sparse_classes_10k_train_000206 | 8,629 | permissive | [
{
"docstring": "A utility function that returns the appropriate loop bounds (lower, upper and step) for an array dimension. If the array dimension is declared with known bounds (an integer or a symbol) then these bound values are used. If the size is unknown (a deferred or attribute type) then the LBOUND and UB... | 3 | null | Implement the Python class `Reference2ArrayRangeTrans` described below.
Class description:
Provides a transformation from PSyIR Array Notation (a reference to an Array) to a PSyIR Range. For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranRea... | Implement the Python class `Reference2ArrayRangeTrans` described below.
Class description:
Provides a transformation from PSyIR Array Notation (a reference to an Array) to a PSyIR Range. For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranRea... | 0b149bc5a76ca85c1dd086c3aa813102d0d04b56 | <|skeleton|>
class Reference2ArrayRangeTrans:
"""Provides a transformation from PSyIR Array Notation (a reference to an Array) to a PSyIR Range. For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranReader >>> from psyclone.psyir.nodes impor... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Reference2ArrayRangeTrans:
"""Provides a transformation from PSyIR Array Notation (a reference to an Array) to a PSyIR Range. For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranReader >>> from psyclone.psyir.nodes import Reference >... | the_stack_v2_python_sparse | src/psyclone/psyir/transformations/reference2arrayrange_trans.py | stfc/PSyclone | train | 100 |
e62b74496c87aac076888d250cd87196b15b6f45 | [
"selected_severities = self._parameter('severities')\nseverities: dict[str, set[Severity]] = {}\nnr_vulnerabilities: dict[str, int] = {}\nexample_vulnerability = {}\nvulnerabilities = cast(JSONDict, json).get('vulnerabilities', [])\nfor vulnerability in vulnerabilities:\n if (severity := vulnerability['severity'... | <|body_start_0|>
selected_severities = self._parameter('severities')
severities: dict[str, set[Severity]] = {}
nr_vulnerabilities: dict[str, int] = {}
example_vulnerability = {}
vulnerabilities = cast(JSONDict, json).get('vulnerabilities', [])
for vulnerability in vulnera... | Snyk collector for security warnings. | SnykSecurityWarnings | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnykSecurityWarnings:
"""Snyk collector for security warnings."""
def _parse_json(self, json: JSON, filename: str) -> Entities:
"""Parse the direct dependencies with vulnerabilities from the JSON."""
<|body_0|>
def __highest_severity(severities: Collection[Severity]) -> ... | stack_v2_sparse_classes_10k_train_000207 | 2,290 | permissive | [
{
"docstring": "Parse the direct dependencies with vulnerabilities from the JSON.",
"name": "_parse_json",
"signature": "def _parse_json(self, json: JSON, filename: str) -> Entities"
},
{
"docstring": "Return the highest severity from a collection of severities.",
"name": "__highest_severity... | 2 | null | Implement the Python class `SnykSecurityWarnings` described below.
Class description:
Snyk collector for security warnings.
Method signatures and docstrings:
- def _parse_json(self, json: JSON, filename: str) -> Entities: Parse the direct dependencies with vulnerabilities from the JSON.
- def __highest_severity(sever... | Implement the Python class `SnykSecurityWarnings` described below.
Class description:
Snyk collector for security warnings.
Method signatures and docstrings:
- def _parse_json(self, json: JSON, filename: str) -> Entities: Parse the direct dependencies with vulnerabilities from the JSON.
- def __highest_severity(sever... | 5d9952bf0bd47895824fa78428d3e4f4d6b5d9b3 | <|skeleton|>
class SnykSecurityWarnings:
"""Snyk collector for security warnings."""
def _parse_json(self, json: JSON, filename: str) -> Entities:
"""Parse the direct dependencies with vulnerabilities from the JSON."""
<|body_0|>
def __highest_severity(severities: Collection[Severity]) -> ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SnykSecurityWarnings:
"""Snyk collector for security warnings."""
def _parse_json(self, json: JSON, filename: str) -> Entities:
"""Parse the direct dependencies with vulnerabilities from the JSON."""
selected_severities = self._parameter('severities')
severities: dict[str, set[Sev... | the_stack_v2_python_sparse | components/collector/src/source_collectors/snyk/security_warnings.py | ICTU/quality-time | train | 43 |
753a81471fb52b8e60e24106398a3c5cc360dbff | [
"data_dict = {}\nfor key, value in request.POST.items():\n data_dict[key] = value\nsign = data_dict.pop('sign', None)\nalipay = AliPay(appid='', app_notify_url='http://127.0.0.1:8000/alipay_return/', app_private_key_path=private_key, alipay_public_key_path=ali_key, debug=True, return_url='http://127.0.0.1:8000/a... | <|body_start_0|>
data_dict = {}
for key, value in request.POST.items():
data_dict[key] = value
sign = data_dict.pop('sign', None)
alipay = AliPay(appid='', app_notify_url='http://127.0.0.1:8000/alipay_return/', app_private_key_path=private_key, alipay_public_key_path=ali_key,... | AliPayView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AliPayView:
def post(self, request):
"""处理支付宝的notify_url"""
<|body_0|>
def get(self, request):
"""处理支付宝的return_url返回"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
data_dict = {}
for key, value in request.POST.items():
data_dict... | stack_v2_sparse_classes_10k_train_000208 | 10,394 | no_license | [
{
"docstring": "处理支付宝的notify_url",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "处理支付宝的return_url返回",
"name": "get",
"signature": "def get(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006000 | Implement the Python class `AliPayView` described below.
Class description:
Implement the AliPayView class.
Method signatures and docstrings:
- def post(self, request): 处理支付宝的notify_url
- def get(self, request): 处理支付宝的return_url返回 | Implement the Python class `AliPayView` described below.
Class description:
Implement the AliPayView class.
Method signatures and docstrings:
- def post(self, request): 处理支付宝的notify_url
- def get(self, request): 处理支付宝的return_url返回
<|skeleton|>
class AliPayView:
def post(self, request):
"""处理支付宝的notify_u... | 5620f09cd6d2a99e7643d5ec0b6bc9e1203be6fe | <|skeleton|>
class AliPayView:
def post(self, request):
"""处理支付宝的notify_url"""
<|body_0|>
def get(self, request):
"""处理支付宝的return_url返回"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AliPayView:
def post(self, request):
"""处理支付宝的notify_url"""
data_dict = {}
for key, value in request.POST.items():
data_dict[key] = value
sign = data_dict.pop('sign', None)
alipay = AliPay(appid='', app_notify_url='http://127.0.0.1:8000/alipay_return/', app_... | the_stack_v2_python_sparse | apps/trade/views.py | DzrJob/gulishop | train | 0 | |
d834640f05fce79682538d143639c783972b6f2b | [
"if set(s) & set(''.join(wordDict)) != set(s):\n return (False, {})\ndic_head, table, max_len = ({}, [0] * len(s) + [1], max(map(len, wordDict)))\nfor word in wordDict:\n if word[0] not in dic_head:\n dic_head[word[0]] = set([word])\n else:\n dic_head[word[0]].add(word)\nfor i in range(len(s)... | <|body_start_0|>
if set(s) & set(''.join(wordDict)) != set(s):
return (False, {})
dic_head, table, max_len = ({}, [0] * len(s) + [1], max(map(len, wordDict)))
for word in wordDict:
if word[0] not in dic_head:
dic_head[word[0]] = set([word])
els... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def wordBreak1(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
<|body_0|>
def wordBreak(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_000209 | 1,679 | no_license | [
{
"docstring": ":type s: str :type wordDict: List[str] :rtype: bool",
"name": "wordBreak1",
"signature": "def wordBreak1(self, s, wordDict)"
},
{
"docstring": ":type s: str :type wordDict: List[str] :rtype: List[str]",
"name": "wordBreak",
"signature": "def wordBreak(self, s, wordDict)"
... | 2 | stack_v2_sparse_classes_30k_test_000115 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak1(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool
- def wordBreak(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: List[str... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak1(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: bool
- def wordBreak(self, s, wordDict): :type s: str :type wordDict: List[str] :rtype: List[str... | c767e3794455c5105ca34714a3e15101f4962f4d | <|skeleton|>
class Solution:
def wordBreak1(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
<|body_0|>
def wordBreak(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def wordBreak1(self, s, wordDict):
""":type s: str :type wordDict: List[str] :rtype: bool"""
if set(s) & set(''.join(wordDict)) != set(s):
return (False, {})
dic_head, table, max_len = ({}, [0] * len(s) + [1], max(map(len, wordDict)))
for word in wordDict:... | the_stack_v2_python_sparse | 140/WordBreakII.py | basto11/leetcode | train | 0 | |
f899d4e2c3627bdd3816386c0e610bf62e9e3bb1 | [
"self.capacity = capacity\nself.values = {}\nself.freq_time = {}\nself.least_used = []\nself.update = set()\nself.time = 0",
"self.time += 1\nif key in self.values:\n self.update.add(key)\n self.freq_time[key] = (self.freq_time[key][0] + 1, self.time)\n return self.values[key]\nreturn -1",
"if self.cap... | <|body_start_0|>
self.capacity = capacity
self.values = {}
self.freq_time = {}
self.least_used = []
self.update = set()
self.time = 0
<|end_body_0|>
<|body_start_1|>
self.time += 1
if key in self.values:
self.update.add(key)
self.f... | LFUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_10k_train_000210 | 4,992 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: None",
"name": "pu... | 3 | null | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: None
<|sk... | 36d7f9e967a62db77622e0888f61999d7f37579a | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.values = {}
self.freq_time = {}
self.least_used = []
self.update = set()
self.time = 0
def get(self, key):
""":type key: int :rtype: int"""
... | the_stack_v2_python_sparse | P0460.py | westgate458/LeetCode | train | 0 | |
3aafd25d5d4eb023f194ab6e87c861f0a9cf8591 | [
"self.description = description\nself.icap_uri = icap_uri\nself.tag = tag\nself.tag_id = tag_id",
"if dictionary is None:\n return None\ndescription = dictionary.get('description')\nicap_uri = dictionary.get('icapUri')\ntag = dictionary.get('tag')\ntag_id = dictionary.get('tagId')\nreturn cls(description, icap... | <|body_start_0|>
self.description = description
self.icap_uri = icap_uri
self.tag = tag
self.tag_id = tag_id
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
description = dictionary.get('description')
icap_uri = dictionary.get('icap... | Implementation of the 'AntivirusServiceConfig' model. Specifies configuration settings for antivirus service provider. Attributes: description (string): Specifies the description of the Antivirus service. This could be any additional information admin might associate with the Antivirus service. icap_uri (string, requir... | AntivirusServiceConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AntivirusServiceConfig:
"""Implementation of the 'AntivirusServiceConfig' model. Specifies configuration settings for antivirus service provider. Attributes: description (string): Specifies the description of the Antivirus service. This could be any additional information admin might associate wi... | stack_v2_sparse_classes_10k_train_000211 | 2,737 | permissive | [
{
"docstring": "Constructor for the AntivirusServiceConfig class",
"name": "__init__",
"signature": "def __init__(self, description=None, icap_uri=None, tag=None, tag_id=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary repr... | 2 | stack_v2_sparse_classes_30k_test_000278 | Implement the Python class `AntivirusServiceConfig` described below.
Class description:
Implementation of the 'AntivirusServiceConfig' model. Specifies configuration settings for antivirus service provider. Attributes: description (string): Specifies the description of the Antivirus service. This could be any addition... | Implement the Python class `AntivirusServiceConfig` described below.
Class description:
Implementation of the 'AntivirusServiceConfig' model. Specifies configuration settings for antivirus service provider. Attributes: description (string): Specifies the description of the Antivirus service. This could be any addition... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class AntivirusServiceConfig:
"""Implementation of the 'AntivirusServiceConfig' model. Specifies configuration settings for antivirus service provider. Attributes: description (string): Specifies the description of the Antivirus service. This could be any additional information admin might associate wi... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AntivirusServiceConfig:
"""Implementation of the 'AntivirusServiceConfig' model. Specifies configuration settings for antivirus service provider. Attributes: description (string): Specifies the description of the Antivirus service. This could be any additional information admin might associate with the Antivi... | the_stack_v2_python_sparse | cohesity_management_sdk/models/antivirus_service_config.py | cohesity/management-sdk-python | train | 24 |
419e4b405dadef0750c4e33c5bba58c4480eb286 | [
"import collections\nwordList = set(wordList)\nres = []\nlayer = {}\nlayer[beginWord] = [[beginWord]]\nwhile layer:\n newlayer = collections.defaultdict(list)\n for w in layer:\n if w == endWord:\n res.extend((k for k in layer[w]))\n else:\n for i in range(len(w)):\n ... | <|body_start_0|>
import collections
wordList = set(wordList)
res = []
layer = {}
layer[beginWord] = [[beginWord]]
while layer:
newlayer = collections.defaultdict(list)
for w in layer:
if w == endWord:
res.extend(... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findLadders(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[List[str]]"""
<|body_0|>
def rewrite(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type... | stack_v2_sparse_classes_10k_train_000212 | 3,718 | no_license | [
{
"docstring": ":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[List[str]]",
"name": "findLadders",
"signature": "def findLadders(self, beginWord, endWord, wordList)"
},
{
"docstring": ":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findLadders(self, beginWord, endWord, wordList): :type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[List[str]]
- def rewrite(self, beginWord, endW... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findLadders(self, beginWord, endWord, wordList): :type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[List[str]]
- def rewrite(self, beginWord, endW... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def findLadders(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[List[str]]"""
<|body_0|>
def rewrite(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findLadders(self, beginWord, endWord, wordList):
""":type beginWord: str :type endWord: str :type wordList: List[str] :rtype: List[List[str]]"""
import collections
wordList = set(wordList)
res = []
layer = {}
layer[beginWord] = [[beginWord]]
... | the_stack_v2_python_sparse | co_uber/126_Word_Ladder_II.py | vsdrun/lc_public | train | 6 | |
7000d09ce1911516e95c6854d1d136d5296b782b | [
"TaskManager.__init__(self)\ntask.props[_KEY_MIN_RESPS] = min_responses\ntask.props[_KEY_WAIT_TIME_AFTER_MIN_RESPS] = wait_time_after_min_received\ntask.props[_KEY_MIN_RESPS_RCV_TIME] = None",
"if len(task.client_tasks) == 0:\n return (False, TaskCompletionStatus.IGNORED)\nclients_responded = 0\nclients_not_re... | <|body_start_0|>
TaskManager.__init__(self)
task.props[_KEY_MIN_RESPS] = min_responses
task.props[_KEY_WAIT_TIME_AFTER_MIN_RESPS] = wait_time_after_min_received
task.props[_KEY_MIN_RESPS_RCV_TIME] = None
<|end_body_0|>
<|body_start_1|>
if len(task.client_tasks) == 0:
... | BcastTaskManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BcastTaskManager:
def __init__(self, task: Task, min_responses: int=0, wait_time_after_min_received: int=0):
"""Task manager for broadcast controller. Args: task (Task): an instance of Task min_responses (int, optional): the minimum number of responses so this task is considered finished... | stack_v2_sparse_classes_10k_train_000213 | 5,194 | permissive | [
{
"docstring": "Task manager for broadcast controller. Args: task (Task): an instance of Task min_responses (int, optional): the minimum number of responses so this task is considered finished. Defaults to 0. wait_time_after_min_received (int, optional): additional wait time for late clients to contribute their... | 2 | stack_v2_sparse_classes_30k_train_006742 | Implement the Python class `BcastTaskManager` described below.
Class description:
Implement the BcastTaskManager class.
Method signatures and docstrings:
- def __init__(self, task: Task, min_responses: int=0, wait_time_after_min_received: int=0): Task manager for broadcast controller. Args: task (Task): an instance o... | Implement the Python class `BcastTaskManager` described below.
Class description:
Implement the BcastTaskManager class.
Method signatures and docstrings:
- def __init__(self, task: Task, min_responses: int=0, wait_time_after_min_received: int=0): Task manager for broadcast controller. Args: task (Task): an instance o... | 1433290c203bd23f34c29e11795ce592bc067888 | <|skeleton|>
class BcastTaskManager:
def __init__(self, task: Task, min_responses: int=0, wait_time_after_min_received: int=0):
"""Task manager for broadcast controller. Args: task (Task): an instance of Task min_responses (int, optional): the minimum number of responses so this task is considered finished... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BcastTaskManager:
def __init__(self, task: Task, min_responses: int=0, wait_time_after_min_received: int=0):
"""Task manager for broadcast controller. Args: task (Task): an instance of Task min_responses (int, optional): the minimum number of responses so this task is considered finished. Defaults to ... | the_stack_v2_python_sparse | nvflare/apis/impl/bcast_manager.py | NVIDIA/NVFlare | train | 442 | |
87d52fce0c5028d4b402759a700e64d54da1b79c | [
"self.gyx = 0\nself.gyy = 0\nself.gyz = 0\nself.acx = 0\nself.acy = 0\nself.acz = 0\nself.prs = 0\nself.temp = 0\nself.arduino = arduino",
"dicioDeDados = self.arduino.dicioDeDados\nif 'acx' in dicioDeDados:\n self.acx = dicioDeDados['acx']\nif 'acy' in dicioDeDados:\n self.acy = dicioDeDados['acy']\nif 'ac... | <|body_start_0|>
self.gyx = 0
self.gyy = 0
self.gyz = 0
self.acx = 0
self.acy = 0
self.acz = 0
self.prs = 0
self.temp = 0
self.arduino = arduino
<|end_body_0|>
<|body_start_1|>
dicioDeDados = self.arduino.dicioDeDados
if 'acx' in d... | Um objeto dessa classe deve ser criado quando quiser realizar a comunicação ou obter dados da MPU (Acelerômetro e Giroscópio). Para utilizar a classe, criamos o construtor colocando como parâmetros se queremos pegar os parâmetros. Depois, utilizamos a função atualiza() para fazer a aquisição pelo I2C. Por fim, acessa o... | IMU | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IMU:
"""Um objeto dessa classe deve ser criado quando quiser realizar a comunicação ou obter dados da MPU (Acelerômetro e Giroscópio). Para utilizar a classe, criamos o construtor colocando como parâmetros se queremos pegar os parâmetros. Depois, utilizamos a função atualiza() para fazer a aquisi... | stack_v2_sparse_classes_10k_train_000214 | 1,618 | permissive | [
{
"docstring": "Inicializa a classe com os parâmetros setados para adquirir e realiza configurações para aquisição do I2C.",
"name": "__init__",
"signature": "def __init__(self, arduino)"
},
{
"docstring": "Le valor analogico do ADC e transforma isso em pressão e velocidade. Todas as variaveis s... | 2 | stack_v2_sparse_classes_30k_train_006612 | Implement the Python class `IMU` described below.
Class description:
Um objeto dessa classe deve ser criado quando quiser realizar a comunicação ou obter dados da MPU (Acelerômetro e Giroscópio). Para utilizar a classe, criamos o construtor colocando como parâmetros se queremos pegar os parâmetros. Depois, utilizamos ... | Implement the Python class `IMU` described below.
Class description:
Um objeto dessa classe deve ser criado quando quiser realizar a comunicação ou obter dados da MPU (Acelerômetro e Giroscópio). Para utilizar a classe, criamos o construtor colocando como parâmetros se queremos pegar os parâmetros. Depois, utilizamos ... | 28162dab4b115232442a331dbdeacd13c0b1abc2 | <|skeleton|>
class IMU:
"""Um objeto dessa classe deve ser criado quando quiser realizar a comunicação ou obter dados da MPU (Acelerômetro e Giroscópio). Para utilizar a classe, criamos o construtor colocando como parâmetros se queremos pegar os parâmetros. Depois, utilizamos a função atualiza() para fazer a aquisi... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class IMU:
"""Um objeto dessa classe deve ser criado quando quiser realizar a comunicação ou obter dados da MPU (Acelerômetro e Giroscópio). Para utilizar a classe, criamos o construtor colocando como parâmetros se queremos pegar os parâmetros. Depois, utilizamos a função atualiza() para fazer a aquisição pelo I2C.... | the_stack_v2_python_sparse | code/libs/sensors/imu.py | solkan1201/Vivace | train | 0 |
b910462cc1ae7ea7a155099c74c30ed634092451 | [
"self.mac = mac\nself.name = name\nself.device_policy = device_policy\nself.group_policy_id = group_policy_id",
"if dictionary is None:\n return None\nmac = dictionary.get('mac')\ndevice_policy = dictionary.get('devicePolicy')\nname = dictionary.get('name')\ngroup_policy_id = dictionary.get('groupPolicyId')\nr... | <|body_start_0|>
self.mac = mac
self.name = name
self.device_policy = device_policy
self.group_policy_id = group_policy_id
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
mac = dictionary.get('mac')
device_policy = dictionary.get('d... | Implementation of the 'provisionNetworkClients' model. TODO: type model description here. Attributes: mac (string): The MAC address of the client. Required. name (string): The display name for the client. Optional. Limited to 255 bytes. device_policy (DevicePolicyEnum): The policy to apply to the specified client. Can ... | ProvisionNetworkClientsModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProvisionNetworkClientsModel:
"""Implementation of the 'provisionNetworkClients' model. TODO: type model description here. Attributes: mac (string): The MAC address of the client. Required. name (string): The display name for the client. Optional. Limited to 255 bytes. device_policy (DevicePolicy... | stack_v2_sparse_classes_10k_train_000215 | 2,493 | permissive | [
{
"docstring": "Constructor for the ProvisionNetworkClientsModel class",
"name": "__init__",
"signature": "def __init__(self, mac=None, device_policy=None, name=None, group_policy_id=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A di... | 2 | null | Implement the Python class `ProvisionNetworkClientsModel` described below.
Class description:
Implementation of the 'provisionNetworkClients' model. TODO: type model description here. Attributes: mac (string): The MAC address of the client. Required. name (string): The display name for the client. Optional. Limited to... | Implement the Python class `ProvisionNetworkClientsModel` described below.
Class description:
Implementation of the 'provisionNetworkClients' model. TODO: type model description here. Attributes: mac (string): The MAC address of the client. Required. name (string): The display name for the client. Optional. Limited to... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class ProvisionNetworkClientsModel:
"""Implementation of the 'provisionNetworkClients' model. TODO: type model description here. Attributes: mac (string): The MAC address of the client. Required. name (string): The display name for the client. Optional. Limited to 255 bytes. device_policy (DevicePolicy... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ProvisionNetworkClientsModel:
"""Implementation of the 'provisionNetworkClients' model. TODO: type model description here. Attributes: mac (string): The MAC address of the client. Required. name (string): The display name for the client. Optional. Limited to 255 bytes. device_policy (DevicePolicyEnum): The po... | the_stack_v2_python_sparse | meraki_sdk/models/provision_network_clients_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
f96bd47755255aaf662c4fa06d39cfd77f07de2c | [
"self._topic = topic\nself._name = name\nself._action_type = action_type\nself.timeout = 1\nself.action_result = None\nself.prefered_callback = ' '\nSubscriber('mock/' + name, String, self.receive_commands)\nSubscriber('mock/gui_result', Bool, self.set_gui_result)\nself._server = ActionServer(self._topic, self._act... | <|body_start_0|>
self._topic = topic
self._name = name
self._action_type = action_type
self.timeout = 1
self.action_result = None
self.prefered_callback = ' '
Subscriber('mock/' + name, String, self.receive_commands)
Subscriber('mock/gui_result', Bool, sel... | MockActionServer base class | MockActionServer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MockActionServer:
"""MockActionServer base class"""
def __init__(self, name, topic, action_type):
"""Creating a custom mock action server."""
<|body_0|>
def receive_commands(self, msg):
"""Decides the result of the next call."""
<|body_1|>
def decide... | stack_v2_sparse_classes_10k_train_000216 | 4,576 | no_license | [
{
"docstring": "Creating a custom mock action server.",
"name": "__init__",
"signature": "def __init__(self, name, topic, action_type)"
},
{
"docstring": "Decides the result of the next call.",
"name": "receive_commands",
"signature": "def receive_commands(self, msg)"
},
{
"docst... | 4 | stack_v2_sparse_classes_30k_train_002283 | Implement the Python class `MockActionServer` described below.
Class description:
MockActionServer base class
Method signatures and docstrings:
- def __init__(self, name, topic, action_type): Creating a custom mock action server.
- def receive_commands(self, msg): Decides the result of the next call.
- def decide(sel... | Implement the Python class `MockActionServer` described below.
Class description:
MockActionServer base class
Method signatures and docstrings:
- def __init__(self, name, topic, action_type): Creating a custom mock action server.
- def receive_commands(self, msg): Decides the result of the next call.
- def decide(sel... | eecaf082b47e52582c5f009eefbf46dd692aba4f | <|skeleton|>
class MockActionServer:
"""MockActionServer base class"""
def __init__(self, name, topic, action_type):
"""Creating a custom mock action server."""
<|body_0|>
def receive_commands(self, msg):
"""Decides the result of the next call."""
<|body_1|>
def decide... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MockActionServer:
"""MockActionServer base class"""
def __init__(self, name, topic, action_type):
"""Creating a custom mock action server."""
self._topic = topic
self._name = name
self._action_type = action_type
self.timeout = 1
self.action_result = None
... | the_stack_v2_python_sparse | pandora_control/pandora_end_effector_controller/src/pandora_end_effector_controller/mocks/action_servers.py | skohlbr/pandora_ros_pkgs | train | 0 |
2f7970d4837197811056d4adc87a2ee3ed1fe5af | [
"try:\n wiki = Wiki.objects.get(slug=slug)\nexcept Wiki.DoesNotExist:\n error_msg = 'Wiki not found.'\n return api_error(status.HTTP_404_NOT_FOUND, error_msg)\nif not wiki.has_read_perm(request.user):\n error_msg = 'Permission denied.'\n return api_error(status.HTTP_403_FORBIDDEN, error_msg)\npage_na... | <|body_start_0|>
try:
wiki = Wiki.objects.get(slug=slug)
except Wiki.DoesNotExist:
error_msg = 'Wiki not found.'
return api_error(status.HTTP_404_NOT_FOUND, error_msg)
if not wiki.has_read_perm(request.user):
error_msg = 'Permission denied.'
... | WikiPageView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WikiPageView:
def get(self, request, slug, page_name='home'):
"""Get content of a wiki"""
<|body_0|>
def delete(self, request, slug, page_name):
"""Delete a page in a wiki"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
wiki = Wiki.... | stack_v2_sparse_classes_10k_train_000217 | 12,107 | permissive | [
{
"docstring": "Get content of a wiki",
"name": "get",
"signature": "def get(self, request, slug, page_name='home')"
},
{
"docstring": "Delete a page in a wiki",
"name": "delete",
"signature": "def delete(self, request, slug, page_name)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001007 | Implement the Python class `WikiPageView` described below.
Class description:
Implement the WikiPageView class.
Method signatures and docstrings:
- def get(self, request, slug, page_name='home'): Get content of a wiki
- def delete(self, request, slug, page_name): Delete a page in a wiki | Implement the Python class `WikiPageView` described below.
Class description:
Implement the WikiPageView class.
Method signatures and docstrings:
- def get(self, request, slug, page_name='home'): Get content of a wiki
- def delete(self, request, slug, page_name): Delete a page in a wiki
<|skeleton|>
class WikiPageVi... | 13b3ed26a04248211ef91ca70dccc617be27a3c3 | <|skeleton|>
class WikiPageView:
def get(self, request, slug, page_name='home'):
"""Get content of a wiki"""
<|body_0|>
def delete(self, request, slug, page_name):
"""Delete a page in a wiki"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class WikiPageView:
def get(self, request, slug, page_name='home'):
"""Get content of a wiki"""
try:
wiki = Wiki.objects.get(slug=slug)
except Wiki.DoesNotExist:
error_msg = 'Wiki not found.'
return api_error(status.HTTP_404_NOT_FOUND, error_msg)
i... | the_stack_v2_python_sparse | fhs/usr/share/python/syncwerk/restapi/restapi/api2/endpoints/wiki_pages.py | syncwerk/syncwerk-server-restapi | train | 0 | |
0ecedb70b85e10855269144c8e8612c278c6cb29 | [
"rest_utils.validate_inputs({'username': username})\nif username != current_user.username:\n raise BadParametersError('Cannot get details of a different user')\nreturn user_datastore.get_user(current_user.username)",
"request_dict = rest_utils.get_json_and_verify_params()\npassword = request_dict.get('password... | <|body_start_0|>
rest_utils.validate_inputs({'username': username})
if username != current_user.username:
raise BadParametersError('Cannot get details of a different user')
return user_datastore.get_user(current_user.username)
<|end_body_0|>
<|body_start_1|>
request_dict = r... | UsersIdCommunity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsersIdCommunity:
def get(self, username):
"""Get details for a single user"""
<|body_0|>
def post(self, username):
"""Change user's password or getting started flag"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
rest_utils.validate_inputs({'userna... | stack_v2_sparse_classes_10k_train_000218 | 8,537 | permissive | [
{
"docstring": "Get details for a single user",
"name": "get",
"signature": "def get(self, username)"
},
{
"docstring": "Change user's password or getting started flag",
"name": "post",
"signature": "def post(self, username)"
}
] | 2 | null | Implement the Python class `UsersIdCommunity` described below.
Class description:
Implement the UsersIdCommunity class.
Method signatures and docstrings:
- def get(self, username): Get details for a single user
- def post(self, username): Change user's password or getting started flag | Implement the Python class `UsersIdCommunity` described below.
Class description:
Implement the UsersIdCommunity class.
Method signatures and docstrings:
- def get(self, username): Get details for a single user
- def post(self, username): Change user's password or getting started flag
<|skeleton|>
class UsersIdCommu... | c0de6442e1d7653fad824d75e571802a74eee605 | <|skeleton|>
class UsersIdCommunity:
def get(self, username):
"""Get details for a single user"""
<|body_0|>
def post(self, username):
"""Change user's password or getting started flag"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UsersIdCommunity:
def get(self, username):
"""Get details for a single user"""
rest_utils.validate_inputs({'username': username})
if username != current_user.username:
raise BadParametersError('Cannot get details of a different user')
return user_datastore.get_user(... | the_stack_v2_python_sparse | rest-service/manager_rest/rest/resources_v3/users.py | cloudify-cosmo/cloudify-manager | train | 146 | |
ded52555f12874d113bb9d60b0eb20395ef4820d | [
"self.minHeap = []\nself.k = k\nif not nums:\n return\nfor i in range(k):\n if self.minHeap and len(self.minHeap) >= k:\n heapq.heappop(self.minHeap)\n if len(nums) > i:\n heapq.heappush(self.minHeap, nums[i])\n else:\n return\nfor i in range(k, len(nums)):\n if nums[i] > self.mi... | <|body_start_0|>
self.minHeap = []
self.k = k
if not nums:
return
for i in range(k):
if self.minHeap and len(self.minHeap) >= k:
heapq.heappop(self.minHeap)
if len(nums) > i:
heapq.heappush(self.minHeap, nums[i])
... | KthLargest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.minHeap = []
self.k = k
if not nums:
... | stack_v2_sparse_classes_10k_train_000219 | 1,191 | permissive | [
{
"docstring": ":type k: int :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, k, nums)"
},
{
"docstring": ":type val: int :rtype: int",
"name": "add",
"signature": "def add(self, val)"
}
] | 2 | null | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int
<|skeleton|>
class KthLargest:
def __init__(self, k, nu... | 20ae1a048eddbc9a32c819cf61258e2b57572f05 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.minHeap = []
self.k = k
if not nums:
return
for i in range(k):
if self.minHeap and len(self.minHeap) >= k:
heapq.heappop(self.minHeap)
... | the_stack_v2_python_sparse | leetcode.com/python/703_Kth_Largest_Element_in_a_Stream.py | partho-maple/coding-interview-gym | train | 862 | |
057149a0d2d4bef7af9e7fb73c26d68f122b5bd1 | [
"self.fin = fin\nself.stopd = stopdict\nself.result = []\nif userdict is not None:\n jieba.load_userdict(userdict)",
"stopwords = {}\ntry:\n fstop = open(self.stopd)\nexcept IOError:\n print(self.stopd, '文件读取错误请检查!')\n exit(0)\nfor eachWord in fstop:\n stopwords[eachWord.strip()] = eachWord.strip()... | <|body_start_0|>
self.fin = fin
self.stopd = stopdict
self.result = []
if userdict is not None:
jieba.load_userdict(userdict)
<|end_body_0|>
<|body_start_1|>
stopwords = {}
try:
fstop = open(self.stopd)
except IOError:
print(se... | 切词类，把语料库的文本内容切词 | Cutword | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cutword:
"""切词类，把语料库的文本内容切词"""
def __init__(self, fin, userdict=None, stopdict=stopd):
""":param fin: 语料库文件 :param userdict: 自定义词典 :param stopdict: 停用词典"""
<|body_0|>
def cut(self, fout=None):
""":param fout: :return:"""
<|body_1|>
def save(self, fou... | stack_v2_sparse_classes_10k_train_000220 | 3,192 | no_license | [
{
"docstring": ":param fin: 语料库文件 :param userdict: 自定义词典 :param stopdict: 停用词典",
"name": "__init__",
"signature": "def __init__(self, fin, userdict=None, stopdict=stopd)"
},
{
"docstring": ":param fout: :return:",
"name": "cut",
"signature": "def cut(self, fout=None)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_train_003307 | Implement the Python class `Cutword` described below.
Class description:
切词类，把语料库的文本内容切词
Method signatures and docstrings:
- def __init__(self, fin, userdict=None, stopdict=stopd): :param fin: 语料库文件 :param userdict: 自定义词典 :param stopdict: 停用词典
- def cut(self, fout=None): :param fout: :return:
- def save(self, fout): ... | Implement the Python class `Cutword` described below.
Class description:
切词类，把语料库的文本内容切词
Method signatures and docstrings:
- def __init__(self, fin, userdict=None, stopdict=stopd): :param fin: 语料库文件 :param userdict: 自定义词典 :param stopdict: 停用词典
- def cut(self, fout=None): :param fout: :return:
- def save(self, fout): ... | 69e72541ca1d2afe03174f89350f7a4d886928dc | <|skeleton|>
class Cutword:
"""切词类，把语料库的文本内容切词"""
def __init__(self, fin, userdict=None, stopdict=stopd):
""":param fin: 语料库文件 :param userdict: 自定义词典 :param stopdict: 停用词典"""
<|body_0|>
def cut(self, fout=None):
""":param fout: :return:"""
<|body_1|>
def save(self, fou... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Cutword:
"""切词类，把语料库的文本内容切词"""
def __init__(self, fin, userdict=None, stopdict=stopd):
""":param fin: 语料库文件 :param userdict: 自定义词典 :param stopdict: 停用词典"""
self.fin = fin
self.stopd = stopdict
self.result = []
if userdict is not None:
jieba.load_userdic... | the_stack_v2_python_sparse | rec-engine/mining/nlp/cutword.py | worry1613/dongni-recommendation | train | 1 |
c6e1b2e3f9b1b14f4881ee9baa0e1999835e5ac2 | [
"width = 3.0\ntriangular_weights_instance = ChooseDefaultWeightsTriangular(width, units='hours')\nresult = str(triangular_weights_instance)\nexpected = '<ChooseDefaultTriangularWeights width=3.0, parameters_units=hours>'\nself.assertEqual(result, expected)",
"width = 3.0\ntriangular_weights_instance = ChooseDefau... | <|body_start_0|>
width = 3.0
triangular_weights_instance = ChooseDefaultWeightsTriangular(width, units='hours')
result = str(triangular_weights_instance)
expected = '<ChooseDefaultTriangularWeights width=3.0, parameters_units=hours>'
self.assertEqual(result, expected)
<|end_body_... | Tests for the __repr__function | Test___repr__ | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test___repr__:
"""Tests for the __repr__function"""
def test_basic(self):
"""Test the repr function formats the arguments correctly"""
<|body_0|>
def test_basic_no_units(self):
"""Test the repr function formats the arguments correctly"""
<|body_1|>
<|end... | stack_v2_sparse_classes_10k_train_000221 | 13,166 | permissive | [
{
"docstring": "Test the repr function formats the arguments correctly",
"name": "test_basic",
"signature": "def test_basic(self)"
},
{
"docstring": "Test the repr function formats the arguments correctly",
"name": "test_basic_no_units",
"signature": "def test_basic_no_units(self)"
}
] | 2 | null | Implement the Python class `Test___repr__` described below.
Class description:
Tests for the __repr__function
Method signatures and docstrings:
- def test_basic(self): Test the repr function formats the arguments correctly
- def test_basic_no_units(self): Test the repr function formats the arguments correctly | Implement the Python class `Test___repr__` described below.
Class description:
Tests for the __repr__function
Method signatures and docstrings:
- def test_basic(self): Test the repr function formats the arguments correctly
- def test_basic_no_units(self): Test the repr function formats the arguments correctly
<|skel... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test___repr__:
"""Tests for the __repr__function"""
def test_basic(self):
"""Test the repr function formats the arguments correctly"""
<|body_0|>
def test_basic_no_units(self):
"""Test the repr function formats the arguments correctly"""
<|body_1|>
<|end... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Test___repr__:
"""Tests for the __repr__function"""
def test_basic(self):
"""Test the repr function formats the arguments correctly"""
width = 3.0
triangular_weights_instance = ChooseDefaultWeightsTriangular(width, units='hours')
result = str(triangular_weights_instance)
... | the_stack_v2_python_sparse | improver_tests/blending/weights/test_ChooseDefaultWeightsTriangular.py | metoppv/improver | train | 101 |
a802a72fb8b79e9fb975773442f97a643071a8cc | [
"headers = {'User-Agent': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)', 'Accept': 'application/json, text/plain, */*', 'Accept-Encoding': 'gzip, deflate, sdch', 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6,ja;q=0.4,zh-TW;q=0.2,mt;q=0.2', 'Connection': 'keep-alive', 'X-Requested-With': 'XMLHttpRequest'... | <|body_start_0|>
headers = {'User-Agent': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)', 'Accept': 'application/json, text/plain, */*', 'Accept-Encoding': 'gzip, deflate, sdch', 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6,ja;q=0.4,zh-TW;q=0.2,mt;q=0.2', 'Connection': 'keep-alive', 'X-Requested-Wit... | SportSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SportSpider:
def start_requests(self):
"""构造请求"""
<|body_0|>
def parse(self, response):
"""解析响应"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
headers = {'User-Agent': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)', 'Accept': 'applicat... | stack_v2_sparse_classes_10k_train_000222 | 1,487 | no_license | [
{
"docstring": "构造请求",
"name": "start_requests",
"signature": "def start_requests(self)"
},
{
"docstring": "解析响应",
"name": "parse",
"signature": "def parse(self, response)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000399 | Implement the Python class `SportSpider` described below.
Class description:
Implement the SportSpider class.
Method signatures and docstrings:
- def start_requests(self): 构造请求
- def parse(self, response): 解析响应 | Implement the Python class `SportSpider` described below.
Class description:
Implement the SportSpider class.
Method signatures and docstrings:
- def start_requests(self): 构造请求
- def parse(self, response): 解析响应
<|skeleton|>
class SportSpider:
def start_requests(self):
"""构造请求"""
<|body_0|>
... | e812eb63fe5db402f79961f4c1d00d31c851a689 | <|skeleton|>
class SportSpider:
def start_requests(self):
"""构造请求"""
<|body_0|>
def parse(self, response):
"""解析响应"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SportSpider:
def start_requests(self):
"""构造请求"""
headers = {'User-Agent': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)', 'Accept': 'application/json, text/plain, */*', 'Accept-Encoding': 'gzip, deflate, sdch', 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6,ja;q=0.4,zh-TW;q=0.2,mt;q... | the_stack_v2_python_sparse | scrapy项目/hupu/hupu/spiders/sport.py | Huigehao/python-spiders | train | 1 | |
92a26ea192637dcdf422b462a446a22806887140 | [
"super().__init__()\nself.image_conv = nn.ConvTranspose2d(in_channels=in_channels, out_channels=out_channels // 2, **kwargs)\nself.kspace_conv = nn.ConvTranspose2d(in_channels=in_channels, out_channels=out_channels // 2, **kwargs)\nself.forward_operator = forward_operator\nself.backward_operator = backward_operator... | <|body_start_0|>
super().__init__()
self.image_conv = nn.ConvTranspose2d(in_channels=in_channels, out_channels=out_channels // 2, **kwargs)
self.kspace_conv = nn.ConvTranspose2d(in_channels=in_channels, out_channels=out_channels // 2, **kwargs)
self.forward_operator = forward_operator
... | MultiDomainConvTranspose2d | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiDomainConvTranspose2d:
def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, **kwargs):
"""Inits :class:`MultiDomainConvTranspose2d`. Parameters ---------- forward_operator: Callable Forward Operator. backward_operator: Call... | stack_v2_sparse_classes_10k_train_000223 | 11,794 | permissive | [
{
"docstring": "Inits :class:`MultiDomainConvTranspose2d`. Parameters ---------- forward_operator: Callable Forward Operator. backward_operator: Callable Backward Operator. in_channels: int Number of input channels. out_channels: int Number of output channels.",
"name": "__init__",
"signature": "def __i... | 2 | stack_v2_sparse_classes_30k_train_003413 | Implement the Python class `MultiDomainConvTranspose2d` described below.
Class description:
Implement the MultiDomainConvTranspose2d class.
Method signatures and docstrings:
- def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, **kwargs): Inits :class:`Mult... | Implement the Python class `MultiDomainConvTranspose2d` described below.
Class description:
Implement the MultiDomainConvTranspose2d class.
Method signatures and docstrings:
- def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, **kwargs): Inits :class:`Mult... | 2a4c29342bc52a404aae097bc2654fb4323e1ac8 | <|skeleton|>
class MultiDomainConvTranspose2d:
def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, **kwargs):
"""Inits :class:`MultiDomainConvTranspose2d`. Parameters ---------- forward_operator: Callable Forward Operator. backward_operator: Call... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MultiDomainConvTranspose2d:
def __init__(self, forward_operator: Callable, backward_operator: Callable, in_channels: int, out_channels: int, **kwargs):
"""Inits :class:`MultiDomainConvTranspose2d`. Parameters ---------- forward_operator: Callable Forward Operator. backward_operator: Callable Backward ... | the_stack_v2_python_sparse | direct/nn/multidomainnet/multidomain.py | NKI-AI/direct | train | 151 | |
a6839b95fb0910b808a46135e0ba37d8e2997d52 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn FeatureRolloutPolicy()",
"from .directory_object import DirectoryObject\nfrom .entity import Entity\nfrom .staged_feature_name import StagedFeatureName\nfrom .directory_object import DirectoryObject\nfrom .entity import Entity\nfrom .s... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return FeatureRolloutPolicy()
<|end_body_0|>
<|body_start_1|>
from .directory_object import DirectoryObject
from .entity import Entity
from .staged_feature_name import StagedFeatureName... | FeatureRolloutPolicy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FeatureRolloutPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FeatureRolloutPolicy:
"""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 ... | stack_v2_sparse_classes_10k_train_000224 | 3,749 | 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: FeatureRolloutPolicy",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminato... | 3 | stack_v2_sparse_classes_30k_train_003221 | Implement the Python class `FeatureRolloutPolicy` described below.
Class description:
Implement the FeatureRolloutPolicy class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FeatureRolloutPolicy: Creates a new instance of the appropriate class based o... | Implement the Python class `FeatureRolloutPolicy` described below.
Class description:
Implement the FeatureRolloutPolicy class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FeatureRolloutPolicy: Creates a new instance of the appropriate class based o... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class FeatureRolloutPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FeatureRolloutPolicy:
"""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 ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FeatureRolloutPolicy:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FeatureRolloutPolicy:
"""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... | the_stack_v2_python_sparse | msgraph/generated/models/feature_rollout_policy.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
14dccef513cd0ad11ec43fdbc81e4be9fee48c21 | [
"event_type = self._GetJSONValue(json_dict, 'type')\nif not event_type:\n parser_mediator.ProduceExtractionWarning('Missing event type.')\n return\nif event_type not in ('access', 'networkActivity'):\n parser_mediator.ProduceExtractionWarning('Unsupported event type: {0:s}.'.format(event_type))\n return... | <|body_start_0|>
event_type = self._GetJSONValue(json_dict, 'type')
if not event_type:
parser_mediator.ProduceExtractionWarning('Missing event type.')
return
if event_type not in ('access', 'networkActivity'):
parser_mediator.ProduceExtractionWarning('Unsuppor... | JSON-L parser plugin for iOS application privacy report files. | IOSAppPrivacPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IOSAppPrivacPlugin:
"""JSON-L parser plugin for iOS application privacy report files."""
def _ParseRecord(self, parser_mediator, json_dict):
"""Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other com... | stack_v2_sparse_classes_10k_train_000225 | 5,927 | permissive | [
{
"docstring": "Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfVFS. json_dict (dict): JSON dictionary of the log record.",
"name": "_ParseRecord",
"signature": "def _ParseRecord(se... | 4 | null | Implement the Python class `IOSAppPrivacPlugin` described below.
Class description:
JSON-L parser plugin for iOS application privacy report files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, json_dict): Parses an iOS application privacy report record. Args: parser_mediator (ParserMedia... | Implement the Python class `IOSAppPrivacPlugin` described below.
Class description:
JSON-L parser plugin for iOS application privacy report files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, json_dict): Parses an iOS application privacy report record. Args: parser_mediator (ParserMedia... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class IOSAppPrivacPlugin:
"""JSON-L parser plugin for iOS application privacy report files."""
def _ParseRecord(self, parser_mediator, json_dict):
"""Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other com... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class IOSAppPrivacPlugin:
"""JSON-L parser plugin for iOS application privacy report files."""
def _ParseRecord(self, parser_mediator, json_dict):
"""Parses an iOS application privacy report record. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such... | the_stack_v2_python_sparse | plaso/parsers/jsonl_plugins/ios_app_privacy.py | log2timeline/plaso | train | 1,506 |
3d0f4d69c6646b6c39e6b9c4300419777c35b64b | [
"super().__init__(convert_charrefs=True)\nself.url = urlparse(url)\nself.generator = None\nself.version = None\nself._parsed_url = None\nself.server = None\nself.scriptpath = None",
"if self.version and value < self.version:\n return\nself.version = value",
"url = url.split('.php', 1)[0]\ntry:\n value, sc... | <|body_start_0|>
super().__init__(convert_charrefs=True)
self.url = urlparse(url)
self.generator = None
self.version = None
self._parsed_url = None
self.server = None
self.scriptpath = None
<|end_body_0|>
<|body_start_1|>
if self.version and value < self.... | Wiki HTML page parser. | WikiHTMLPageParser | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WikiHTMLPageParser:
"""Wiki HTML page parser."""
def __init__(self, url) -> None:
"""Initializer."""
<|body_0|>
def set_version(self, value) -> None:
"""Set highest version."""
<|body_1|>
def set_api_url(self, url) -> None:
"""Set api_url."""... | stack_v2_sparse_classes_10k_train_000226 | 10,845 | permissive | [
{
"docstring": "Initializer.",
"name": "__init__",
"signature": "def __init__(self, url) -> None"
},
{
"docstring": "Set highest version.",
"name": "set_version",
"signature": "def set_version(self, value) -> None"
},
{
"docstring": "Set api_url.",
"name": "set_api_url",
... | 4 | stack_v2_sparse_classes_30k_train_005414 | Implement the Python class `WikiHTMLPageParser` described below.
Class description:
Wiki HTML page parser.
Method signatures and docstrings:
- def __init__(self, url) -> None: Initializer.
- def set_version(self, value) -> None: Set highest version.
- def set_api_url(self, url) -> None: Set api_url.
- def handle_star... | Implement the Python class `WikiHTMLPageParser` described below.
Class description:
Wiki HTML page parser.
Method signatures and docstrings:
- def __init__(self, url) -> None: Initializer.
- def set_version(self, value) -> None: Set highest version.
- def set_api_url(self, url) -> None: Set api_url.
- def handle_star... | 5c01e6bfcd328bc6eae643e661f1a0ae57612808 | <|skeleton|>
class WikiHTMLPageParser:
"""Wiki HTML page parser."""
def __init__(self, url) -> None:
"""Initializer."""
<|body_0|>
def set_version(self, value) -> None:
"""Set highest version."""
<|body_1|>
def set_api_url(self, url) -> None:
"""Set api_url."""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class WikiHTMLPageParser:
"""Wiki HTML page parser."""
def __init__(self, url) -> None:
"""Initializer."""
super().__init__(convert_charrefs=True)
self.url = urlparse(url)
self.generator = None
self.version = None
self._parsed_url = None
self.server = Non... | the_stack_v2_python_sparse | pywikibot/site_detect.py | wikimedia/pywikibot | train | 432 |
a86e6bcd38eb23e8273abcc54dcee7dbc9b3e32a | [
"super().__init__(env)\nself.width = width\nself.height = height\nself.observation_space = gym.spaces.Box(low=0, high=255, shape=(self.height, self.width, 1), dtype=env.observation_space.dtype)",
"frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)\nframe = cv2.resize(frame, (self.width, self.height), interpolation=c... | <|body_start_0|>
super().__init__(env)
self.width = width
self.height = height
self.observation_space = gym.spaces.Box(low=0, high=255, shape=(self.height, self.width, 1), dtype=env.observation_space.dtype)
<|end_body_0|>
<|body_start_1|>
frame = cv2.cvtColor(frame, cv2.COLOR_RG... | WarpFrame | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WarpFrame:
def __init__(self, env, width=84, height=84):
"""Warp frames to 84x84 as done in the Nature paper and later work. :param env: (Gym Environment) the environment"""
<|body_0|>
def observation(self, frame):
"""returns the current observation from a frame :par... | stack_v2_sparse_classes_10k_train_000227 | 8,786 | permissive | [
{
"docstring": "Warp frames to 84x84 as done in the Nature paper and later work. :param env: (Gym Environment) the environment",
"name": "__init__",
"signature": "def __init__(self, env, width=84, height=84)"
},
{
"docstring": "returns the current observation from a frame :param frame: ([int] or... | 2 | stack_v2_sparse_classes_30k_train_003464 | Implement the Python class `WarpFrame` described below.
Class description:
Implement the WarpFrame class.
Method signatures and docstrings:
- def __init__(self, env, width=84, height=84): Warp frames to 84x84 as done in the Nature paper and later work. :param env: (Gym Environment) the environment
- def observation(s... | Implement the Python class `WarpFrame` described below.
Class description:
Implement the WarpFrame class.
Method signatures and docstrings:
- def __init__(self, env, width=84, height=84): Warp frames to 84x84 as done in the Nature paper and later work. :param env: (Gym Environment) the environment
- def observation(s... | 1d304115406f6e29186cedb0160811d4139e2733 | <|skeleton|>
class WarpFrame:
def __init__(self, env, width=84, height=84):
"""Warp frames to 84x84 as done in the Nature paper and later work. :param env: (Gym Environment) the environment"""
<|body_0|>
def observation(self, frame):
"""returns the current observation from a frame :par... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class WarpFrame:
def __init__(self, env, width=84, height=84):
"""Warp frames to 84x84 as done in the Nature paper and later work. :param env: (Gym Environment) the environment"""
super().__init__(env)
self.width = width
self.height = height
self.observation_space = gym.space... | the_stack_v2_python_sparse | unstable_baselines/lib/envs/wrap/atari.py | Ending2015a/unstable_baselines | train | 10 | |
6971f209acaf0cbbb0f0e2790f8b0befdd9d4317 | [
"if k == 0:\n return s\nif k == 1:\n return min((s[i:] + s[:i] for i in range(len(s))))\nelse:\n return ''.join(sorted(list(s)))",
"if k > 2:\n return ''.join(sorted(s))\nret = s\nfor i in range(1, len(s)):\n ret = min(ret, s[i:] + s[:i])\nreturn ret"
] | <|body_start_0|>
if k == 0:
return s
if k == 1:
return min((s[i:] + s[:i] for i in range(len(s))))
else:
return ''.join(sorted(list(s)))
<|end_body_0|>
<|body_start_1|>
if k > 2:
return ''.join(sorted(s))
ret = s
for i in r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def orderlyQueue(self, s: str, k: int) -> str:
"""09/22/2021 21:15"""
<|body_0|>
def orderlyQueue(self, s: str, k: int) -> str:
"""11/13/2022 18:09"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if k == 0:
return s
if ... | stack_v2_sparse_classes_10k_train_000228 | 1,850 | no_license | [
{
"docstring": "09/22/2021 21:15",
"name": "orderlyQueue",
"signature": "def orderlyQueue(self, s: str, k: int) -> str"
},
{
"docstring": "11/13/2022 18:09",
"name": "orderlyQueue",
"signature": "def orderlyQueue(self, s: str, k: int) -> str"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def orderlyQueue(self, s: str, k: int) -> str: 09/22/2021 21:15
- def orderlyQueue(self, s: str, k: int) -> str: 11/13/2022 18:09 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def orderlyQueue(self, s: str, k: int) -> str: 09/22/2021 21:15
- def orderlyQueue(self, s: str, k: int) -> str: 11/13/2022 18:09
<|skeleton|>
class Solution:
def orderlyQu... | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | <|skeleton|>
class Solution:
def orderlyQueue(self, s: str, k: int) -> str:
"""09/22/2021 21:15"""
<|body_0|>
def orderlyQueue(self, s: str, k: int) -> str:
"""11/13/2022 18:09"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def orderlyQueue(self, s: str, k: int) -> str:
"""09/22/2021 21:15"""
if k == 0:
return s
if k == 1:
return min((s[i:] + s[:i] for i in range(len(s))))
else:
return ''.join(sorted(list(s)))
def orderlyQueue(self, s: str, k: int... | the_stack_v2_python_sparse | leetcode/solved/935_Orderly_Queue/solution.py | sungminoh/algorithms | train | 0 | |
af1cc215c6662da42d088594c7d5f785b030200f | [
"if not matrix or not matrix[0]:\n return 0\nheights = [[0] * len(matrix[0]) for _ in range(len(matrix))]\nfor i in range(len(matrix)):\n count = 0\n left = 0\n right = 0\n while right < len(matrix[0]) or left < right:\n if right < len(matrix[0]) and matrix[i][right] == '1':\n count... | <|body_start_0|>
if not matrix or not matrix[0]:
return 0
heights = [[0] * len(matrix[0]) for _ in range(len(matrix))]
for i in range(len(matrix)):
count = 0
left = 0
right = 0
while right < len(matrix[0]) or left < right:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_0|>
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_1|>
def maximalRectangle2(self, matrix):
""":type ... | stack_v2_sparse_classes_10k_train_000229 | 3,647 | no_license | [
{
"docstring": ":type matrix: List[List[str]] :rtype: int",
"name": "maximalRectangle",
"signature": "def maximalRectangle(self, matrix)"
},
{
"docstring": ":type heights: List[int] :rtype: int",
"name": "largestRectangleArea",
"signature": "def largestRectangleArea(self, heights)"
},
... | 4 | stack_v2_sparse_classes_30k_train_003010 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
- def maximalRectang... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maximalRectangle(self, matrix): :type matrix: List[List[str]] :rtype: int
- def largestRectangleArea(self, heights): :type heights: List[int] :rtype: int
- def maximalRectang... | e2712dc25a73637db81ce8892e0c73a15d69766f | <|skeleton|>
class Solution:
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
<|body_0|>
def largestRectangleArea(self, heights):
""":type heights: List[int] :rtype: int"""
<|body_1|>
def maximalRectangle2(self, matrix):
""":type ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def maximalRectangle(self, matrix):
""":type matrix: List[List[str]] :rtype: int"""
if not matrix or not matrix[0]:
return 0
heights = [[0] * len(matrix[0]) for _ in range(len(matrix))]
for i in range(len(matrix)):
count = 0
left = ... | the_stack_v2_python_sparse | code/Maximal Rectangle.py | zhix9767/Leetcode | train | 0 | |
50c3b31924573de7777f6e96b5155d4d6b34b160 | [
"self._map['l1'][Sentinel2TOA.id] = Sentinel2TOA\nself._map['l2'][Sentinel2SR.id] = Sentinel2SR\nself._map['l3'][Sentinel2NBAR.id] = Sentinel2NBAR",
"for drivers_by_level in self._map.values():\n for driver_name in drivers_by_level:\n if collection == driver_name:\n return drivers_by_level[dr... | <|body_start_0|>
self._map['l1'][Sentinel2TOA.id] = Sentinel2TOA
self._map['l2'][Sentinel2SR.id] = Sentinel2SR
self._map['l3'][Sentinel2NBAR.id] = Sentinel2NBAR
<|end_body_0|>
<|body_start_1|>
for drivers_by_level in self._map.values():
for driver_name in drivers_by_level:
... | Define a factory to identify a Sentinel product based on scene identifier. | SentinelFactory | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SentinelFactory:
"""Define a factory to identify a Sentinel product based on scene identifier."""
def register(self):
"""Initialize factory object."""
<|body_0|>
def get_from_collection(self, collection: str):
"""Retrieve the respective Sentinel driver from given... | stack_v2_sparse_classes_10k_train_000230 | 11,082 | permissive | [
{
"docstring": "Initialize factory object.",
"name": "register",
"signature": "def register(self)"
},
{
"docstring": "Retrieve the respective Sentinel driver from given collection.",
"name": "get_from_collection",
"signature": "def get_from_collection(self, collection: str)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_001831 | Implement the Python class `SentinelFactory` described below.
Class description:
Define a factory to identify a Sentinel product based on scene identifier.
Method signatures and docstrings:
- def register(self): Initialize factory object.
- def get_from_collection(self, collection: str): Retrieve the respective Senti... | Implement the Python class `SentinelFactory` described below.
Class description:
Define a factory to identify a Sentinel product based on scene identifier.
Method signatures and docstrings:
- def register(self): Initialize factory object.
- def get_from_collection(self, collection: str): Retrieve the respective Senti... | 62583f6c25bca79e7e1b5503bc6308298838c877 | <|skeleton|>
class SentinelFactory:
"""Define a factory to identify a Sentinel product based on scene identifier."""
def register(self):
"""Initialize factory object."""
<|body_0|>
def get_from_collection(self, collection: str):
"""Retrieve the respective Sentinel driver from given... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SentinelFactory:
"""Define a factory to identify a Sentinel product based on scene identifier."""
def register(self):
"""Initialize factory object."""
self._map['l1'][Sentinel2TOA.id] = Sentinel2TOA
self._map['l2'][Sentinel2SR.id] = Sentinel2SR
self._map['l3'][Sentinel2NBA... | the_stack_v2_python_sparse | bdc_collection_builder/collections/sentinel/utils.py | rodolfolotte/bdc-collection-builder | train | 0 |
b7430d53b55a61c1e7153ec971d49b72b8a0b563 | [
"self.n_classes = number_class\nself.is_training = is_training\nself.is_simplified = is_simplified\nself.dropout = dropout",
"if not self.is_simplified:\n net, _ = unet.unet(input_batch, self.n_classes, is_training=is_training, dropout=dropout, weight_decay=0.0005)\nelse:\n net, _ = simplified_unet.unet(inp... | <|body_start_0|>
self.n_classes = number_class
self.is_training = is_training
self.is_simplified = is_simplified
self.dropout = dropout
<|end_body_0|>
<|body_start_1|>
if not self.is_simplified:
net, _ = unet.unet(input_batch, self.n_classes, is_training=is_training,... | UnetModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnetModel:
def __init__(self, number_class=3, is_training=True, is_simplified=False, dropout=True):
"""Create the model"""
<|body_0|>
def _create_network(self, input_batch, dropout=False, is_training=True):
"""Args: input_batch: batch of pre-processed images. keep_pr... | stack_v2_sparse_classes_10k_train_000231 | 4,646 | permissive | [
{
"docstring": "Create the model",
"name": "__init__",
"signature": "def __init__(self, number_class=3, is_training=True, is_simplified=False, dropout=True)"
},
{
"docstring": "Args: input_batch: batch of pre-processed images. keep_prob: probability of keeping neurons intact. Returns: A downsamp... | 5 | stack_v2_sparse_classes_30k_train_005519 | Implement the Python class `UnetModel` described below.
Class description:
Implement the UnetModel class.
Method signatures and docstrings:
- def __init__(self, number_class=3, is_training=True, is_simplified=False, dropout=True): Create the model
- def _create_network(self, input_batch, dropout=False, is_training=Tr... | Implement the Python class `UnetModel` described below.
Class description:
Implement the UnetModel class.
Method signatures and docstrings:
- def __init__(self, number_class=3, is_training=True, is_simplified=False, dropout=True): Create the model
- def _create_network(self, input_batch, dropout=False, is_training=Tr... | 57904544c6d6b43dcd5937afeb474c0a47456d98 | <|skeleton|>
class UnetModel:
def __init__(self, number_class=3, is_training=True, is_simplified=False, dropout=True):
"""Create the model"""
<|body_0|>
def _create_network(self, input_batch, dropout=False, is_training=True):
"""Args: input_batch: batch of pre-processed images. keep_pr... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UnetModel:
def __init__(self, number_class=3, is_training=True, is_simplified=False, dropout=True):
"""Create the model"""
self.n_classes = number_class
self.is_training = is_training
self.is_simplified = is_simplified
self.dropout = dropout
def _create_network(sel... | the_stack_v2_python_sparse | models/model_unet.py | cliang1453/IHC-based-labels-generation-and-semantic-segmentation-for-lung-cancer | train | 0 | |
0c8edfac9360108f11124e1f3a2617f5cd4d674b | [
"self.count = 0\n\ndef dfs(nums, target):\n if target == 0:\n self.count += 1\n return\n if target < 0:\n return\n for n in nums:\n dfs(nums, target - n)\ndfs(nums, target)\nreturn self.count",
"def dfs(nums, temp_sum, target, d):\n if target == temp_sum:\n return 1\... | <|body_start_0|>
self.count = 0
def dfs(nums, target):
if target == 0:
self.count += 1
return
if target < 0:
return
for n in nums:
dfs(nums, target - n)
dfs(nums, target)
return self.coun... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def combinationSum41(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
def combinationSum42(se... | stack_v2_sparse_classes_10k_train_000232 | 2,690 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "combinationSum4",
"signature": "def combinationSum4(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "combinationSum41",
"signature": "def combinationSum41(... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combinationSum4(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def combinationSum41(self, nums, target): :type nums: List[int] :type target: int :... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combinationSum4(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def combinationSum41(self, nums, target): :type nums: List[int] :type target: int :... | 857b8c7fccfe8216da59228c1cf3675444855673 | <|skeleton|>
class Solution:
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def combinationSum41(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
def combinationSum42(se... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
self.count = 0
def dfs(nums, target):
if target == 0:
self.count += 1
return
if target < 0:
return
... | the_stack_v2_python_sparse | algorithm/Combination-Sum-IV.py | atashi/LLL | train | 0 | |
600b474162e535fa590fe388601d73e476261085 | [
"super().__init__()\nself.norm1 = nn.LayerNorm(embed_size)\nself.msa = _MSA(embed_size, num_heads)\nself.norm2 = nn.LayerNorm(embed_size)\nself.mlp = _MLP(in_feats=embed_size, out_feats=num_heads)",
"y = self.norm1(x)\ny = self.msa(y)\nx = x + y\ny = self.norm2(x)\ny = self.mlp(y)\nx = x + y\nreturn x"
] | <|body_start_0|>
super().__init__()
self.norm1 = nn.LayerNorm(embed_size)
self.msa = _MSA(embed_size, num_heads)
self.norm2 = nn.LayerNorm(embed_size)
self.mlp = _MLP(in_feats=embed_size, out_feats=num_heads)
<|end_body_0|>
<|body_start_1|>
y = self.norm1(x)
y = ... | _TransformerLayer | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _TransformerLayer:
def __init__(self, embed_size, num_heads):
"""A module that implements a single transformer layer. Args: embed_size (int): The size of the embedding vector. num_heads (int): The number of heads to use in the multi-head self-attention module."""
<|body_0|>
... | stack_v2_sparse_classes_10k_train_000233 | 24,719 | permissive | [
{
"docstring": "A module that implements a single transformer layer. Args: embed_size (int): The size of the embedding vector. num_heads (int): The number of heads to use in the multi-head self-attention module.",
"name": "__init__",
"signature": "def __init__(self, embed_size, num_heads)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_005885 | Implement the Python class `_TransformerLayer` described below.
Class description:
Implement the _TransformerLayer class.
Method signatures and docstrings:
- def __init__(self, embed_size, num_heads): A module that implements a single transformer layer. Args: embed_size (int): The size of the embedding vector. num_he... | Implement the Python class `_TransformerLayer` described below.
Class description:
Implement the _TransformerLayer class.
Method signatures and docstrings:
- def __init__(self, embed_size, num_heads): A module that implements a single transformer layer. Args: embed_size (int): The size of the embedding vector. num_he... | 72eb99f68205afd5f8d49a3bb6cfc08cfd467582 | <|skeleton|>
class _TransformerLayer:
def __init__(self, embed_size, num_heads):
"""A module that implements a single transformer layer. Args: embed_size (int): The size of the embedding vector. num_heads (int): The number of heads to use in the multi-head self-attention module."""
<|body_0|>
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class _TransformerLayer:
def __init__(self, embed_size, num_heads):
"""A module that implements a single transformer layer. Args: embed_size (int): The size of the embedding vector. num_heads (int): The number of heads to use in the multi-head self-attention module."""
super().__init__()
sel... | the_stack_v2_python_sparse | GANDLF/models/unetr.py | mlcommons/GaNDLF | train | 45 | |
c7d3058adb3adc382a053cd838abdc54a7ba6bb6 | [
"self.__password = password\nself.__class_code = class_code\nself.__msg = {'Class Code': '', 'Password': ''}",
"if len(self.__class_code) == 0:\n self.__msg['Class Code'] += 'Class Code cannot be empty.\\n'\nif len(self.__password) == 0:\n self.__msg['Password'] += 'Password cannot be empty.\\n'\nif not all... | <|body_start_0|>
self.__password = password
self.__class_code = class_code
self.__msg = {'Class Code': '', 'Password': ''}
<|end_body_0|>
<|body_start_1|>
if len(self.__class_code) == 0:
self.__msg['Class Code'] += 'Class Code cannot be empty.\n'
if len(self.__passwo... | This class is responsible for the page login. | LoginController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginController:
"""This class is responsible for the page login."""
def __init__(self, password, class_code):
"""Init variables. :param password: the student password :param class_code: the student class code"""
<|body_0|>
def check_validation(self):
"""Check va... | stack_v2_sparse_classes_10k_train_000234 | 2,337 | no_license | [
{
"docstring": "Init variables. :param password: the student password :param class_code: the student class code",
"name": "__init__",
"signature": "def __init__(self, password, class_code)"
},
{
"docstring": "Check validation of student password & class_code.",
"name": "check_validation",
... | 4 | stack_v2_sparse_classes_30k_train_001471 | Implement the Python class `LoginController` described below.
Class description:
This class is responsible for the page login.
Method signatures and docstrings:
- def __init__(self, password, class_code): Init variables. :param password: the student password :param class_code: the student class code
- def check_valid... | Implement the Python class `LoginController` described below.
Class description:
This class is responsible for the page login.
Method signatures and docstrings:
- def __init__(self, password, class_code): Init variables. :param password: the student password :param class_code: the student class code
- def check_valid... | 607e459d737ac689d6974bf05f452abf89cbdfe2 | <|skeleton|>
class LoginController:
"""This class is responsible for the page login."""
def __init__(self, password, class_code):
"""Init variables. :param password: the student password :param class_code: the student class code"""
<|body_0|>
def check_validation(self):
"""Check va... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LoginController:
"""This class is responsible for the page login."""
def __init__(self, password, class_code):
"""Init variables. :param password: the student password :param class_code: the student class code"""
self.__password = password
self.__class_code = class_code
se... | the_stack_v2_python_sparse | UiController/logInPageController.py | alexshachor/TheBackEye | train | 0 |
f391c2ce27d7a556b11595bf0cc0b3cb3543cf7b | [
"if isinstance(labelOrFluxInstance, fluxModule.Flux):\n if temperature is None:\n raise RuntimeError('The flux temperature is required as the second argument.')\n label = labelOrFluxInstance.label\n data = labelOrFluxInstance.data.copy()\nelif isinstance(labelOrFluxInstance, Flux):\n label = labe... | <|body_start_0|>
if isinstance(labelOrFluxInstance, fluxModule.Flux):
if temperature is None:
raise RuntimeError('The flux temperature is required as the second argument.')
label = labelOrFluxInstance.label
data = labelOrFluxInstance.data.copy()
elif i... | The multi-group flux. | Flux | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Flux:
"""The multi-group flux."""
def __init__(self, labelOrFluxInstance, temperature=None, data=None):
"""The constructor for the Flux class."""
<|body_0|>
def process(self, groupBoundaries):
"""Multi-group the flux and return as a ProcessedFlux instance."""
... | stack_v2_sparse_classes_10k_train_000235 | 18,060 | permissive | [
{
"docstring": "The constructor for the Flux class.",
"name": "__init__",
"signature": "def __init__(self, labelOrFluxInstance, temperature=None, data=None)"
},
{
"docstring": "Multi-group the flux and return as a ProcessedFlux instance.",
"name": "process",
"signature": "def process(sel... | 2 | null | Implement the Python class `Flux` described below.
Class description:
The multi-group flux.
Method signatures and docstrings:
- def __init__(self, labelOrFluxInstance, temperature=None, data=None): The constructor for the Flux class.
- def process(self, groupBoundaries): Multi-group the flux and return as a Processed... | Implement the Python class `Flux` described below.
Class description:
The multi-group flux.
Method signatures and docstrings:
- def __init__(self, labelOrFluxInstance, temperature=None, data=None): The constructor for the Flux class.
- def process(self, groupBoundaries): Multi-group the flux and return as a Processed... | 6ba80855ae47cb32c37f635d065b228fadb03412 | <|skeleton|>
class Flux:
"""The multi-group flux."""
def __init__(self, labelOrFluxInstance, temperature=None, data=None):
"""The constructor for the Flux class."""
<|body_0|>
def process(self, groupBoundaries):
"""Multi-group the flux and return as a ProcessedFlux instance."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Flux:
"""The multi-group flux."""
def __init__(self, labelOrFluxInstance, temperature=None, data=None):
"""The constructor for the Flux class."""
if isinstance(labelOrFluxInstance, fluxModule.Flux):
if temperature is None:
raise RuntimeError('The flux temperatu... | the_stack_v2_python_sparse | fudge/processing/deterministic/particles.py | LLNL/fudge | train | 21 |
75c3d1d79c7515d17cf7e5e359c1b00e460d0d58 | [
"self.wifi_macs = wifi_macs\nself.ids = ids\nself.serials = serials\nself.scope = scope\nself.tags = tags\nself.update_action = update_action",
"if dictionary is None:\n return None\ntags = dictionary.get('tags')\nupdate_action = dictionary.get('updateAction')\nwifi_macs = dictionary.get('wifiMacs')\nids = dic... | <|body_start_0|>
self.wifi_macs = wifi_macs
self.ids = ids
self.serials = serials
self.scope = scope
self.tags = tags
self.update_action = update_action
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
tags = dictionary.get('... | Implementation of the 'updateNetworkSmDevicesTags' model. TODO: type model description here. Attributes: wifi_macs (string): The wifiMacs of the devices to be modified. ids (string): The ids of the devices to be modified. serials (string): The serials of the devices to be modified. scope (string): The scope (one of all... | UpdateNetworkSmDevicesTagsModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateNetworkSmDevicesTagsModel:
"""Implementation of the 'updateNetworkSmDevicesTags' model. TODO: type model description here. Attributes: wifi_macs (string): The wifiMacs of the devices to be modified. ids (string): The ids of the devices to be modified. serials (string): The serials of the de... | stack_v2_sparse_classes_10k_train_000236 | 2,806 | permissive | [
{
"docstring": "Constructor for the UpdateNetworkSmDevicesTagsModel class",
"name": "__init__",
"signature": "def __init__(self, tags=None, update_action=None, wifi_macs=None, ids=None, serials=None, scope=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictio... | 2 | stack_v2_sparse_classes_30k_train_004993 | Implement the Python class `UpdateNetworkSmDevicesTagsModel` described below.
Class description:
Implementation of the 'updateNetworkSmDevicesTags' model. TODO: type model description here. Attributes: wifi_macs (string): The wifiMacs of the devices to be modified. ids (string): The ids of the devices to be modified. ... | Implement the Python class `UpdateNetworkSmDevicesTagsModel` described below.
Class description:
Implementation of the 'updateNetworkSmDevicesTags' model. TODO: type model description here. Attributes: wifi_macs (string): The wifiMacs of the devices to be modified. ids (string): The ids of the devices to be modified. ... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class UpdateNetworkSmDevicesTagsModel:
"""Implementation of the 'updateNetworkSmDevicesTags' model. TODO: type model description here. Attributes: wifi_macs (string): The wifiMacs of the devices to be modified. ids (string): The ids of the devices to be modified. serials (string): The serials of the de... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UpdateNetworkSmDevicesTagsModel:
"""Implementation of the 'updateNetworkSmDevicesTags' model. TODO: type model description here. Attributes: wifi_macs (string): The wifiMacs of the devices to be modified. ids (string): The ids of the devices to be modified. serials (string): The serials of the devices to be m... | the_stack_v2_python_sparse | meraki_sdk/models/update_network_sm_devices_tags_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
219c36926b4e80b33f1da567b30c7c7a912c09e6 | [
"self.data_description = data_description\nself.name = 'image_reshape'\nNI = self.data_description['NI']\nself.M = M\nself.N = N\nself.transf = transforms.Resize((self.M, self.N))",
"N = X.shape[0]\nNC = X.shape[1]\nX_t = np.zeros((N, NC, self.M, self.N))\nfor k in tqdm(range(N)):\n for kc in range(NC):\n ... | <|body_start_0|>
self.data_description = data_description
self.name = 'image_reshape'
NI = self.data_description['NI']
self.M = M
self.N = N
self.transf = transforms.Resize((self.M, self.N))
<|end_body_0|>
<|body_start_1|>
N = X.shape[0]
NC = X.shape[1]
... | This class represents the main object for reshaping images. | image_reshape_model | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class image_reshape_model:
"""This class represents the main object for reshaping images."""
def __init__(self, data_description, M, N):
"""Create an image_reshape_model instance. Parameters ---------- data_description: dict Description of the input features M: integer Target number of row... | stack_v2_sparse_classes_10k_train_000237 | 1,851 | permissive | [
{
"docstring": "Create an image_reshape_model instance. Parameters ---------- data_description: dict Description of the input features M: integer Target number of rows N: integer Target number of columns",
"name": "__init__",
"signature": "def __init__(self, data_description, M, N)"
},
{
"docstr... | 2 | stack_v2_sparse_classes_30k_train_005784 | Implement the Python class `image_reshape_model` described below.
Class description:
This class represents the main object for reshaping images.
Method signatures and docstrings:
- def __init__(self, data_description, M, N): Create an image_reshape_model instance. Parameters ---------- data_description: dict Descript... | Implement the Python class `image_reshape_model` described below.
Class description:
This class represents the main object for reshaping images.
Method signatures and docstrings:
- def __init__(self, data_description, M, N): Create an image_reshape_model instance. Parameters ---------- data_description: dict Descript... | ccc0a7674a04ae0d00bedc38893b33184c5f68c6 | <|skeleton|>
class image_reshape_model:
"""This class represents the main object for reshaping images."""
def __init__(self, data_description, M, N):
"""Create an image_reshape_model instance. Parameters ---------- data_description: dict Description of the input features M: integer Target number of row... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class image_reshape_model:
"""This class represents the main object for reshaping images."""
def __init__(self, data_description, M, N):
"""Create an image_reshape_model instance. Parameters ---------- data_description: dict Description of the input features M: integer Target number of rows N: integer ... | the_stack_v2_python_sparse | MMLL/preprocessors/image_reshape.py | Musketeer-H2020/MMLL-Robust | train | 0 |
35ebd862f2db95944c1c51cd8d63e4d17570b69e | [
"assert query_batch_cnt.is_contiguous()\nassert key_batch_cnt.is_contiguous()\nassert index_pair_batch.is_contiguous()\nassert index_pair.is_contiguous()\nassert attn_weight.is_contiguous()\nassert value_features.is_contiguous()\nb = query_batch_cnt.shape[0]\ntotal_query_num, local_size = index_pair.size()\ntotal_k... | <|body_start_0|>
assert query_batch_cnt.is_contiguous()
assert key_batch_cnt.is_contiguous()
assert index_pair_batch.is_contiguous()
assert index_pair.is_contiguous()
assert attn_weight.is_contiguous()
assert value_features.is_contiguous()
b = query_batch_cnt.shap... | Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim) | AttentionValueComputation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttentionValueComputation:
"""Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim... | stack_v2_sparse_classes_10k_train_000238 | 8,019 | no_license | [
{
"docstring": ":param ctx: :param query_batch_cnt: A integer tensor with shape [bs], indicating the query amount for each batch. :param key_batch_cnt: A integer tensor with shape [bs], indicating the key amount of each batch. :param index_pair_batch: A integer tensor with shape [total_query_num], indicating th... | 2 | stack_v2_sparse_classes_30k_train_006847 | Implement the Python class `AttentionValueComputation` described below.
Class description:
Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention ... | Implement the Python class `AttentionValueComputation` described below.
Class description:
Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention ... | bbc78ca91e851f0f04459b1a8bbe96ab44bf41bc | <|skeleton|>
class AttentionValueComputation:
"""Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AttentionValueComputation:
"""Generate the attention result based on: * the generated attention pair index (total_query_num, local_size); * value features (total_key_num, nhead, hdim) * attn_weight (total_query_num, local_size, nhead) Generate the attention result. * (total_query_num, nhead, hdim)"""
def... | the_stack_v2_python_sparse | EQNet/eqnet/ops/attention/attention_utils_v2.py | dvlab-research/DeepVision3D | train | 94 |
588117f0ae883e6ce352ac4174cd7916ff5f14b3 | [
"widget = CompleterLineEdit(parent, self.delimiters, self.entries, self.entries_updater)\nwidget.setText(self.text)\nwidget.textEdited.connect(self.update_object)\nreturn widget",
"if not self._no_update and self.activated:\n try:\n value = self.get_widget().text()\n except AttributeError:\n v... | <|body_start_0|>
widget = CompleterLineEdit(parent, self.delimiters, self.entries, self.entries_updater)
widget.setText(self.text)
widget.textEdited.connect(self.update_object)
return widget
<|end_body_0|>
<|body_start_1|>
if not self._no_update and self.activated:
t... | Simple style text editor, which displays a text field. | QtLineCompleter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QtLineCompleter:
"""Simple style text editor, which displays a text field."""
def create_widget(self, parent):
"""Finishes initializing the editor by creating the underlying toolkit widget."""
<|body_0|>
def update_object(self):
"""Handles the user entering input... | stack_v2_sparse_classes_10k_train_000239 | 4,964 | no_license | [
{
"docstring": "Finishes initializing the editor by creating the underlying toolkit widget.",
"name": "create_widget",
"signature": "def create_widget(self, parent)"
},
{
"docstring": "Handles the user entering input data in the edit control.",
"name": "update_object",
"signature": "def ... | 3 | stack_v2_sparse_classes_30k_train_001974 | Implement the Python class `QtLineCompleter` described below.
Class description:
Simple style text editor, which displays a text field.
Method signatures and docstrings:
- def create_widget(self, parent): Finishes initializing the editor by creating the underlying toolkit widget.
- def update_object(self): Handles th... | Implement the Python class `QtLineCompleter` described below.
Class description:
Simple style text editor, which displays a text field.
Method signatures and docstrings:
- def create_widget(self, parent): Finishes initializing the editor by creating the underlying toolkit widget.
- def update_object(self): Handles th... | 6d54091d2c1c436a4dc07727a66be5a536ea8414 | <|skeleton|>
class QtLineCompleter:
"""Simple style text editor, which displays a text field."""
def create_widget(self, parent):
"""Finishes initializing the editor by creating the underlying toolkit widget."""
<|body_0|>
def update_object(self):
"""Handles the user entering input... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class QtLineCompleter:
"""Simple style text editor, which displays a text field."""
def create_widget(self, parent):
"""Finishes initializing the editor by creating the underlying toolkit widget."""
widget = CompleterLineEdit(parent, self.delimiters, self.entries, self.entries_updater)
... | the_stack_v2_python_sparse | hqc_meas/utils/widgets/qt_line_completer.py | MatthieuDartiailh/HQCMeas | train | 11 |
46780f22b185fa8b881a63bb12a4c78e9e993e7b | [
"if not t1 and (not t2):\n return True\nif not t1 or not t2:\n return False\nif t1.val != t2.val:\n return False\nreturn self.is_same_tree_(t1.left, t2.left) and self.is_same_tree_(t1.right, t2.right)",
"def check(tree_1: 'TreeNode', tree_2: 'TreeNode') -> bool:\n if not tree_1 and (not tree_2):\n ... | <|body_start_0|>
if not t1 and (not t2):
return True
if not t1 or not t2:
return False
if t1.val != t2.val:
return False
return self.is_same_tree_(t1.left, t2.left) and self.is_same_tree_(t1.right, t2.right)
<|end_body_0|>
<|body_start_1|>
def... | BinaryTree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinaryTree:
def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool:
"""Approach: Recursion Time Complexity: O(N) Space Complexity: O(N) :param t1: :param t2: :return:"""
<|body_0|>
def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool:
"""Approach:... | stack_v2_sparse_classes_10k_train_000240 | 1,537 | no_license | [
{
"docstring": "Approach: Recursion Time Complexity: O(N) Space Complexity: O(N) :param t1: :param t2: :return:",
"name": "is_same_tree_",
"signature": "def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool"
},
{
"docstring": "Approach: Iteration Time Complexity: O(N) Space Complexity:... | 2 | null | Implement the Python class `BinaryTree` described below.
Class description:
Implement the BinaryTree class.
Method signatures and docstrings:
- def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool: Approach: Recursion Time Complexity: O(N) Space Complexity: O(N) :param t1: :param t2: :return:
- def is_same... | Implement the Python class `BinaryTree` described below.
Class description:
Implement the BinaryTree class.
Method signatures and docstrings:
- def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool: Approach: Recursion Time Complexity: O(N) Space Complexity: O(N) :param t1: :param t2: :return:
- def is_same... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class BinaryTree:
def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool:
"""Approach: Recursion Time Complexity: O(N) Space Complexity: O(N) :param t1: :param t2: :return:"""
<|body_0|>
def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool:
"""Approach:... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BinaryTree:
def is_same_tree_(self, t1: 'TreeNode', t2: 'TreeNode') -> bool:
"""Approach: Recursion Time Complexity: O(N) Space Complexity: O(N) :param t1: :param t2: :return:"""
if not t1 and (not t2):
return True
if not t1 or not t2:
return False
if t1... | the_stack_v2_python_sparse | revisited/trees/same_tree.py | Shiv2157k/leet_code | train | 1 | |
c2b8181ed89cf3ee92068761a055a9126019fa5e | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\ntry:\n mapping_value = parse_node.get_child_node('@odata.type').get_str_value()\nexcept AttributeError:\n mapping_value = None\nif mapping_value and mapping_value.casefold() == '#microsoft.graph.eventMessageRequest'.casefold():\n from ... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
try:
mapping_value = parse_node.get_child_node('@odata.type').get_str_value()
except AttributeError:
mapping_value = None
if mapping_value and mapping_value.casefold() ==... | EventMessage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventMessage:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EventMessage:
"""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: ... | stack_v2_sparse_classes_10k_train_000241 | 6,219 | 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: EventMessage",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(... | 3 | null | Implement the Python class `EventMessage` described below.
Class description:
Implement the EventMessage class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EventMessage: Creates a new instance of the appropriate class based on discriminator value Ar... | Implement the Python class `EventMessage` described below.
Class description:
Implement the EventMessage class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EventMessage: Creates a new instance of the appropriate class based on discriminator value Ar... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class EventMessage:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EventMessage:
"""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: ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EventMessage:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> EventMessage:
"""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: EventMessage""... | the_stack_v2_python_sparse | msgraph/generated/models/event_message.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
a7f1074a294d42958601036409aa0328bb961ce4 | [
"self._queue = Queue()\nself._sock_lock = threading.Lock()\nself._sock = sock\nself._req_buffer = bytearray(1000000)\nself._req_mv = memoryview(self._req_buffer)\nself._refs = {}\nself._ref_count = 1\nself._MAX_TO_PROCESS = 100",
"packer = msgpack.Packer()\nunpacker = msgpack.Unpacker()\nwith self._sock_lock:\n ... | <|body_start_0|>
self._queue = Queue()
self._sock_lock = threading.Lock()
self._sock = sock
self._req_buffer = bytearray(1000000)
self._req_mv = memoryview(self._req_buffer)
self._refs = {}
self._ref_count = 1
self._MAX_TO_PROCESS = 100
<|end_body_0|>
<|b... | FIXME, fix all the docs Channels are connections to another participant. They maintain a message queue and push only one at a time. A couple implementation notes: - We maintain a single connection to the remote end and push all messages down this one socket. Calls to req place message tuples on a shared queue, and ther... | ClientChannel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientChannel:
"""FIXME, fix all the docs Channels are connections to another participant. They maintain a message queue and push only one at a time. A couple implementation notes: - We maintain a single connection to the remote end and push all messages down this one socket. Calls to req place m... | stack_v2_sparse_classes_10k_train_000242 | 3,343 | permissive | [
{
"docstring": "Sets up message tuple queue to remote.",
"name": "__init__",
"signature": "def __init__(self, sock)"
},
{
"docstring": "Sends data to the other side and waits for a response. If no response within timeout period (or connection failure) then raises an error.",
"name": "req",
... | 2 | stack_v2_sparse_classes_30k_train_004804 | Implement the Python class `ClientChannel` described below.
Class description:
FIXME, fix all the docs Channels are connections to another participant. They maintain a message queue and push only one at a time. A couple implementation notes: - We maintain a single connection to the remote end and push all messages dow... | Implement the Python class `ClientChannel` described below.
Class description:
FIXME, fix all the docs Channels are connections to another participant. They maintain a message queue and push only one at a time. A couple implementation notes: - We maintain a single connection to the remote end and push all messages dow... | 91923ed10bee4b2f084b156b31d4e4700bf2326c | <|skeleton|>
class ClientChannel:
"""FIXME, fix all the docs Channels are connections to another participant. They maintain a message queue and push only one at a time. A couple implementation notes: - We maintain a single connection to the remote end and push all messages down this one socket. Calls to req place m... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ClientChannel:
"""FIXME, fix all the docs Channels are connections to another participant. They maintain a message queue and push only one at a time. A couple implementation notes: - We maintain a single connection to the remote end and push all messages down this one socket. Calls to req place message tuples... | the_stack_v2_python_sparse | experiments/messaging/custom/mbus.py | bobquest33/wade | train | 0 |
5ec46dec409619b85f0edb0e36b746f38b106f4b | [
"CtrlDev.__init__(self, parent)\nself._name = 'DVD/CD'\nself._category = 'Armazenamento'\nself._diag = DiagDVDCD(self)\nself._compat = CompatDVDCD(self)\nself._guiClass = GUIDVDCD",
"self._callInfo()\nself._callCompat()\nself._callDiag()"
] | <|body_start_0|>
CtrlDev.__init__(self, parent)
self._name = 'DVD/CD'
self._category = 'Armazenamento'
self._diag = DiagDVDCD(self)
self._compat = CompatDVDCD(self)
self._guiClass = GUIDVDCD
<|end_body_0|>
<|body_start_1|>
self._callInfo()
self._callCompa... | Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificacao, compatibilidade, diagnostico e cria a tela de exibicao. | CtrlDvdcd | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CtrlDvdcd:
"""Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificacao, compatibilidade, diagnostico e cria a tela de exibicao."""
def __init__(self, parent):
"""Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe bas... | stack_v2_sparse_classes_10k_train_000243 | 1,186 | no_license | [
{
"docstring": "Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe base 'CtrlDev'.",
"name": "__init__",
"signature": "def __init__(self, parent)"
},
{
"docstring": "Executa o info, compat e diag (dependendo do resultado do compatibilidade) e cria as tela... | 2 | stack_v2_sparse_classes_30k_train_003337 | Implement the Python class `CtrlDvdcd` described below.
Class description:
Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificacao, compatibilidade, diagnostico e cria a tela de exibicao.
Method signatures and docstrings:
- def __init__(self, parent): Construtor que inicializa os atributos... | Implement the Python class `CtrlDvdcd` described below.
Class description:
Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificacao, compatibilidade, diagnostico e cria a tela de exibicao.
Method signatures and docstrings:
- def __init__(self, parent): Construtor que inicializa os atributos... | bda0c2c8977dd1246339f1f0f4718d29e8795f21 | <|skeleton|>
class CtrlDvdcd:
"""Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificacao, compatibilidade, diagnostico e cria a tela de exibicao."""
def __init__(self, parent):
"""Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe bas... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CtrlDvdcd:
"""Estende a classe 'CtrlDev'. Classe de controle que chama os testes de identificacao, compatibilidade, diagnostico e cria a tela de exibicao."""
def __init__(self, parent):
"""Construtor que inicializa os atributos '_diag', '_compat' e '_guiClass' definidos na classe base 'CtrlDev'."... | the_stack_v2_python_sparse | src/libs/dvdcd/ctrl_dvdcd.py | adrianomelo/ldc-desktop | train | 1 |
3a7fba60888ce0bb0b58b355a8f7a27d4794115a | [
"mx = -float('inf')\nmn = float('inf')\nstack = []\nfor i, n in enumerate(nums):\n x = -float('inf')\n y = None\n while stack and stack[-1][0] > n:\n m, j = stack.pop()\n if m > x:\n x = m\n y = j\n mn = min(mn, j)\n mx = max(mx, i)\n stack.append((n, i)... | <|body_start_0|>
mx = -float('inf')
mn = float('inf')
stack = []
for i, n in enumerate(nums):
x = -float('inf')
y = None
while stack and stack[-1][0] > n:
m, j = stack.pop()
if m > x:
x = m
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findUnsortedSubarray(self, nums: List[int]) -> int:
"""12/15/2020 16:17"""
<|body_0|>
def findUnsortedSubarray(self, nums: List[int]) -> int:
"""12/15/2020 16:52"""
<|body_1|>
def findUnsortedSubarray(self, nums: List[int]) -> int:
... | stack_v2_sparse_classes_10k_train_000244 | 3,322 | no_license | [
{
"docstring": "12/15/2020 16:17",
"name": "findUnsortedSubarray",
"signature": "def findUnsortedSubarray(self, nums: List[int]) -> int"
},
{
"docstring": "12/15/2020 16:52",
"name": "findUnsortedSubarray",
"signature": "def findUnsortedSubarray(self, nums: List[int]) -> int"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_004431 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findUnsortedSubarray(self, nums: List[int]) -> int: 12/15/2020 16:17
- def findUnsortedSubarray(self, nums: List[int]) -> int: 12/15/2020 16:52
- def findUnsortedSubarray(sel... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findUnsortedSubarray(self, nums: List[int]) -> int: 12/15/2020 16:17
- def findUnsortedSubarray(self, nums: List[int]) -> int: 12/15/2020 16:52
- def findUnsortedSubarray(sel... | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | <|skeleton|>
class Solution:
def findUnsortedSubarray(self, nums: List[int]) -> int:
"""12/15/2020 16:17"""
<|body_0|>
def findUnsortedSubarray(self, nums: List[int]) -> int:
"""12/15/2020 16:52"""
<|body_1|>
def findUnsortedSubarray(self, nums: List[int]) -> int:
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findUnsortedSubarray(self, nums: List[int]) -> int:
"""12/15/2020 16:17"""
mx = -float('inf')
mn = float('inf')
stack = []
for i, n in enumerate(nums):
x = -float('inf')
y = None
while stack and stack[-1][0] > n:
... | the_stack_v2_python_sparse | leetcode/solved/581_Shortest_Unsorted_Continuous_Subarray/solution.py | sungminoh/algorithms | train | 0 | |
412234f3cc68d56bb498c294609ed195b1fdab85 | [
"if self.is_db:\n return get_tables(self.db_url)\nreturn []",
"if self.is_db:\n ds = get_table(self.db_url, self.table)\nelse:\n ds = pd.read_csv(self.dataset.file)\nreturn ds.columns.to_list()"
] | <|body_start_0|>
if self.is_db:
return get_tables(self.db_url)
return []
<|end_body_0|>
<|body_start_1|>
if self.is_db:
ds = get_table(self.db_url, self.table)
else:
ds = pd.read_csv(self.dataset.file)
return ds.columns.to_list()
<|end_body_1|... | Scenario | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scenario:
def tables(self):
"""Return table in DBMS"""
<|body_0|>
def columns(self):
"""Return columns in selected dataset"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if self.is_db:
return get_tables(self.db_url)
return []
<|... | stack_v2_sparse_classes_10k_train_000245 | 2,759 | permissive | [
{
"docstring": "Return table in DBMS",
"name": "tables",
"signature": "def tables(self)"
},
{
"docstring": "Return columns in selected dataset",
"name": "columns",
"signature": "def columns(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004733 | Implement the Python class `Scenario` described below.
Class description:
Implement the Scenario class.
Method signatures and docstrings:
- def tables(self): Return table in DBMS
- def columns(self): Return columns in selected dataset | Implement the Python class `Scenario` described below.
Class description:
Implement the Scenario class.
Method signatures and docstrings:
- def tables(self): Return table in DBMS
- def columns(self): Return columns in selected dataset
<|skeleton|>
class Scenario:
def tables(self):
"""Return table in DBM... | 4299f09a338209fb6f03cc7c0806f8cc01447fe0 | <|skeleton|>
class Scenario:
def tables(self):
"""Return table in DBMS"""
<|body_0|>
def columns(self):
"""Return columns in selected dataset"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Scenario:
def tables(self):
"""Return table in DBMS"""
if self.is_db:
return get_tables(self.db_url)
return []
def columns(self):
"""Return columns in selected dataset"""
if self.is_db:
ds = get_table(self.db_url, self.table)
else:
... | the_stack_v2_python_sparse | msp/models.py | softlab-unimore/MASQ | train | 1 | |
c114fc40f51d2ab2100d5669e103904de43f946f | [
"request_data = request.GET\nticket_id = kwargs.get('ticket_id')\napp_name = request.META.get('HTTP_APPNAME')\napp_permission_check, msg = account_base_service_ins.app_ticket_permission_check(app_name, ticket_id)\nif not app_permission_check:\n return api_response(-1, msg, '')\nusername = request.META.get('HTTP_... | <|body_start_0|>
request_data = request.GET
ticket_id = kwargs.get('ticket_id')
app_name = request.META.get('HTTP_APPNAME')
app_permission_check, msg = account_base_service_ins.app_ticket_permission_check(app_name, ticket_id)
if not app_permission_check:
return api_re... | TicketView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TicketView:
def get(self, request, *args, **kwargs):
"""获取工单详情，根据用户返回不同的内容(是否有工单表单的编辑权限) :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def patch(self, request, *args, **kwargs):
"""处理工单 :param request: :param args: :param kwargs: :return:"""
... | stack_v2_sparse_classes_10k_train_000246 | 26,311 | permissive | [
{
"docstring": "获取工单详情，根据用户返回不同的内容(是否有工单表单的编辑权限) :param request: :param args: :param kwargs: :return:",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "处理工单 :param request: :param args: :param kwargs: :return:",
"name": "patch",
"signature": "def ... | 3 | stack_v2_sparse_classes_30k_val_000013 | Implement the Python class `TicketView` described below.
Class description:
Implement the TicketView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 获取工单详情，根据用户返回不同的内容(是否有工单表单的编辑权限) :param request: :param args: :param kwargs: :return:
- def patch(self, request, *args, **kwargs): 处理... | Implement the Python class `TicketView` described below.
Class description:
Implement the TicketView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 获取工单详情，根据用户返回不同的内容(是否有工单表单的编辑权限) :param request: :param args: :param kwargs: :return:
- def patch(self, request, *args, **kwargs): 处理... | b0e236b314286c5f6cc6959622c9c8505e776443 | <|skeleton|>
class TicketView:
def get(self, request, *args, **kwargs):
"""获取工单详情，根据用户返回不同的内容(是否有工单表单的编辑权限) :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def patch(self, request, *args, **kwargs):
"""处理工单 :param request: :param args: :param kwargs: :return:"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TicketView:
def get(self, request, *args, **kwargs):
"""获取工单详情，根据用户返回不同的内容(是否有工单表单的编辑权限) :param request: :param args: :param kwargs: :return:"""
request_data = request.GET
ticket_id = kwargs.get('ticket_id')
app_name = request.META.get('HTTP_APPNAME')
app_permission_che... | the_stack_v2_python_sparse | apps/ticket/views.py | blackholll/loonflow | train | 1,864 | |
f3647ae0647d46e102b017bec622a593a5338613 | [
"request = self.get_serializer_context()['request']\nif request.query_params.get('brief', False):\n return serializers.NestedDeviceSerializer\nelif 'config_context' in request.query_params.get('exclude', []):\n return serializers.DeviceSerializer\nreturn serializers.DeviceWithConfigContextSerializer",
"devi... | <|body_start_0|>
request = self.get_serializer_context()['request']
if request.query_params.get('brief', False):
return serializers.NestedDeviceSerializer
elif 'config_context' in request.query_params.get('exclude', []):
return serializers.DeviceSerializer
return ... | DeviceViewSet | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeviceViewSet:
def get_serializer_class(self):
"""Select the specific serializer based on the request context. If the `brief` query param equates to True, return the NestedDeviceSerializer If the `exclude` query param includes `config_context` as a value, return the DeviceSerializer Else... | stack_v2_sparse_classes_10k_train_000247 | 24,145 | permissive | [
{
"docstring": "Select the specific serializer based on the request context. If the `brief` query param equates to True, return the NestedDeviceSerializer If the `exclude` query param includes `config_context` as a value, return the DeviceSerializer Else, return the DeviceWithConfigContextSerializer",
"name... | 2 | null | Implement the Python class `DeviceViewSet` described below.
Class description:
Implement the DeviceViewSet class.
Method signatures and docstrings:
- def get_serializer_class(self): Select the specific serializer based on the request context. If the `brief` query param equates to True, return the NestedDeviceSerializ... | Implement the Python class `DeviceViewSet` described below.
Class description:
Implement the DeviceViewSet class.
Method signatures and docstrings:
- def get_serializer_class(self): Select the specific serializer based on the request context. If the `brief` query param equates to True, return the NestedDeviceSerializ... | 506884bc4dc70299db3e2a7ad577dd7fd808065e | <|skeleton|>
class DeviceViewSet:
def get_serializer_class(self):
"""Select the specific serializer based on the request context. If the `brief` query param equates to True, return the NestedDeviceSerializer If the `exclude` query param includes `config_context` as a value, return the DeviceSerializer Else... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DeviceViewSet:
def get_serializer_class(self):
"""Select the specific serializer based on the request context. If the `brief` query param equates to True, return the NestedDeviceSerializer If the `exclude` query param includes `config_context` as a value, return the DeviceSerializer Else, return the D... | the_stack_v2_python_sparse | netbox/dcim/api/views.py | netbox-community/netbox | train | 8,122 | |
902352904dfc1bc1db35dff9a1bd414387868c9a | [
"self.path = Path(path)\nself.validate()\nsuper(Processing, self).__init__(path, parent=parent, recursive=recursive, dataset_index=dataset_index, dataset_state=dataset_state)",
"if not self.path.is_dir():\n raise NotProcessingFolder\nif not self.contains(self.path, ['visu_pars']):\n raise NotProcessingFolde... | <|body_start_0|>
self.path = Path(path)
self.validate()
super(Processing, self).__init__(path, parent=parent, recursive=recursive, dataset_index=dataset_index, dataset_state=dataset_state)
<|end_body_0|>
<|body_start_1|>
if not self.path.is_dir():
raise NotProcessingFolder
... | Processing | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Processing:
def __init__(self, path, parent=None, recursive=True, dataset_index=['2dseq', '1r', '1i'], dataset_state: dict=DEFAULT_DATASET_STATE):
"""The constructor for Processing class. :param path: path to a folder :param parent: parent :class:`.Folder` object :param recursive: recurs... | stack_v2_sparse_classes_10k_train_000248 | 17,605 | permissive | [
{
"docstring": "The constructor for Processing class. :param path: path to a folder :param parent: parent :class:`.Folder` object :param recursive: recursively create sub-folders :return:",
"name": "__init__",
"signature": "def __init__(self, path, parent=None, recursive=True, dataset_index=['2dseq', '1... | 2 | stack_v2_sparse_classes_30k_train_004977 | Implement the Python class `Processing` described below.
Class description:
Implement the Processing class.
Method signatures and docstrings:
- def __init__(self, path, parent=None, recursive=True, dataset_index=['2dseq', '1r', '1i'], dataset_state: dict=DEFAULT_DATASET_STATE): The constructor for Processing class. :... | Implement the Python class `Processing` described below.
Class description:
Implement the Processing class.
Method signatures and docstrings:
- def __init__(self, path, parent=None, recursive=True, dataset_index=['2dseq', '1r', '1i'], dataset_state: dict=DEFAULT_DATASET_STATE): The constructor for Processing class. :... | 772d1b541fb998293a51c28f883e64fa74afa4c6 | <|skeleton|>
class Processing:
def __init__(self, path, parent=None, recursive=True, dataset_index=['2dseq', '1r', '1i'], dataset_state: dict=DEFAULT_DATASET_STATE):
"""The constructor for Processing class. :param path: path to a folder :param parent: parent :class:`.Folder` object :param recursive: recurs... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Processing:
def __init__(self, path, parent=None, recursive=True, dataset_index=['2dseq', '1r', '1i'], dataset_state: dict=DEFAULT_DATASET_STATE):
"""The constructor for Processing class. :param path: path to a folder :param parent: parent :class:`.Folder` object :param recursive: recursively create s... | the_stack_v2_python_sparse | brukerapi/folders.py | isi-nmr/brukerapi-python | train | 18 | |
803102ffa050b4cb5442abab01de57b10cb7c364 | [
"super().__init__(coordinator=coordinator)\nself._sensor = sensor\nself.entity_id = f'{SENSOR_DOMAIN}.{sensor.key}'\nself._attr_device_class = sensor.device_class\nself._attr_entity_registry_enabled_default = sensor.entity_registry_enabled_default\nself._attr_name = sensor.name\nself._attr_state_class = sensor.stat... | <|body_start_0|>
super().__init__(coordinator=coordinator)
self._sensor = sensor
self.entity_id = f'{SENSOR_DOMAIN}.{sensor.key}'
self._attr_device_class = sensor.device_class
self._attr_entity_registry_enabled_default = sensor.entity_registry_enabled_default
self._attr_n... | Defines a Forcast.Solar sensor. | ForecastSolarSensorEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ForecastSolarSensorEntity:
"""Defines a Forcast.Solar sensor."""
def __init__(self, *, entry_id: str, coordinator: DataUpdateCoordinator, sensor: ForecastSolarSensor) -> None:
"""Initialize Forcast.Solar sensor."""
<|body_0|>
def state(self) -> StateType:
"""Retu... | stack_v2_sparse_classes_10k_train_000249 | 2,534 | permissive | [
{
"docstring": "Initialize Forcast.Solar sensor.",
"name": "__init__",
"signature": "def __init__(self, *, entry_id: str, coordinator: DataUpdateCoordinator, sensor: ForecastSolarSensor) -> None"
},
{
"docstring": "Return the state of the sensor.",
"name": "state",
"signature": "def stat... | 2 | stack_v2_sparse_classes_30k_train_006089 | Implement the Python class `ForecastSolarSensorEntity` described below.
Class description:
Defines a Forcast.Solar sensor.
Method signatures and docstrings:
- def __init__(self, *, entry_id: str, coordinator: DataUpdateCoordinator, sensor: ForecastSolarSensor) -> None: Initialize Forcast.Solar sensor.
- def state(sel... | Implement the Python class `ForecastSolarSensorEntity` described below.
Class description:
Defines a Forcast.Solar sensor.
Method signatures and docstrings:
- def __init__(self, *, entry_id: str, coordinator: DataUpdateCoordinator, sensor: ForecastSolarSensor) -> None: Initialize Forcast.Solar sensor.
- def state(sel... | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | <|skeleton|>
class ForecastSolarSensorEntity:
"""Defines a Forcast.Solar sensor."""
def __init__(self, *, entry_id: str, coordinator: DataUpdateCoordinator, sensor: ForecastSolarSensor) -> None:
"""Initialize Forcast.Solar sensor."""
<|body_0|>
def state(self) -> StateType:
"""Retu... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ForecastSolarSensorEntity:
"""Defines a Forcast.Solar sensor."""
def __init__(self, *, entry_id: str, coordinator: DataUpdateCoordinator, sensor: ForecastSolarSensor) -> None:
"""Initialize Forcast.Solar sensor."""
super().__init__(coordinator=coordinator)
self._sensor = sensor
... | the_stack_v2_python_sparse | homeassistant/components/forecast_solar/sensor.py | BenWoodford/home-assistant | train | 11 |
fbc20ae178d157ca11d6759fb9beaee95357946a | [
"self.envirophat = envirophat\nself.use_leds = use_leds\nself.light = None\nself.light_red = None\nself.light_green = None\nself.light_blue = None\nself.accelerometer_x = None\nself.accelerometer_y = None\nself.accelerometer_z = None\nself.magnetometer_x = None\nself.magnetometer_y = None\nself.magnetometer_z = Non... | <|body_start_0|>
self.envirophat = envirophat
self.use_leds = use_leds
self.light = None
self.light_red = None
self.light_green = None
self.light_blue = None
self.accelerometer_x = None
self.accelerometer_y = None
self.accelerometer_z = None
... | Get the latest data and update. | EnvirophatData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnvirophatData:
"""Get the latest data and update."""
def __init__(self, envirophat, use_leds):
"""Initialize the data object."""
<|body_0|>
def update(self):
"""Get the latest data from Enviro pHAT."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_000250 | 8,346 | permissive | [
{
"docstring": "Initialize the data object.",
"name": "__init__",
"signature": "def __init__(self, envirophat, use_leds)"
},
{
"docstring": "Get the latest data from Enviro pHAT.",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000230 | Implement the Python class `EnvirophatData` described below.
Class description:
Get the latest data and update.
Method signatures and docstrings:
- def __init__(self, envirophat, use_leds): Initialize the data object.
- def update(self): Get the latest data from Enviro pHAT. | Implement the Python class `EnvirophatData` described below.
Class description:
Get the latest data and update.
Method signatures and docstrings:
- def __init__(self, envirophat, use_leds): Initialize the data object.
- def update(self): Get the latest data from Enviro pHAT.
<|skeleton|>
class EnvirophatData:
""... | 8de7966104911bca6f855a1755a6d71a07afb9de | <|skeleton|>
class EnvirophatData:
"""Get the latest data and update."""
def __init__(self, envirophat, use_leds):
"""Initialize the data object."""
<|body_0|>
def update(self):
"""Get the latest data from Enviro pHAT."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EnvirophatData:
"""Get the latest data and update."""
def __init__(self, envirophat, use_leds):
"""Initialize the data object."""
self.envirophat = envirophat
self.use_leds = use_leds
self.light = None
self.light_red = None
self.light_green = None
s... | the_stack_v2_python_sparse | homeassistant/components/envirophat/sensor.py | AlexxIT/home-assistant | train | 9 |
a60a9d1d7b4bed0bfd34ee413200b467037d3910 | [
"self.backoff = backoff\nself.random_jitter_range = random_jitter_range\nsuper(LinearRetry, self).__init__(retry_total=retry_total, retry_to_secondary=retry_to_secondary, **kwargs)",
"random_generator = random.Random()\nrandom_range_start = self.backoff - self.random_jitter_range if self.backoff > self.random_jit... | <|body_start_0|>
self.backoff = backoff
self.random_jitter_range = random_jitter_range
super(LinearRetry, self).__init__(retry_total=retry_total, retry_to_secondary=retry_to_secondary, **kwargs)
<|end_body_0|>
<|body_start_1|>
random_generator = random.Random()
random_range_star... | Linear retry. | LinearRetry | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinearRetry:
"""Linear retry."""
def __init__(self, backoff=15, retry_total=3, retry_to_secondary=False, random_jitter_range=3, **kwargs):
"""Constructs a Linear retry object. :param int backoff: The backoff interval, in seconds, between retries. :param int max_attempts: The maximum ... | stack_v2_sparse_classes_10k_train_000251 | 26,717 | permissive | [
{
"docstring": "Constructs a Linear retry object. :param int backoff: The backoff interval, in seconds, between retries. :param int max_attempts: The maximum number of retry attempts. :param bool retry_to_secondary: Whether the request should be retried to secondary, if able. This should only be enabled of RA-G... | 2 | null | Implement the Python class `LinearRetry` described below.
Class description:
Linear retry.
Method signatures and docstrings:
- def __init__(self, backoff=15, retry_total=3, retry_to_secondary=False, random_jitter_range=3, **kwargs): Constructs a Linear retry object. :param int backoff: The backoff interval, in second... | Implement the Python class `LinearRetry` described below.
Class description:
Linear retry.
Method signatures and docstrings:
- def __init__(self, backoff=15, retry_total=3, retry_to_secondary=False, random_jitter_range=3, **kwargs): Constructs a Linear retry object. :param int backoff: The backoff interval, in second... | c2ca191e736bb06bfbbbc9493e8325763ba990bb | <|skeleton|>
class LinearRetry:
"""Linear retry."""
def __init__(self, backoff=15, retry_total=3, retry_to_secondary=False, random_jitter_range=3, **kwargs):
"""Constructs a Linear retry object. :param int backoff: The backoff interval, in seconds, between retries. :param int max_attempts: The maximum ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LinearRetry:
"""Linear retry."""
def __init__(self, backoff=15, retry_total=3, retry_to_secondary=False, random_jitter_range=3, **kwargs):
"""Constructs a Linear retry object. :param int backoff: The backoff interval, in seconds, between retries. :param int max_attempts: The maximum number of ret... | the_stack_v2_python_sparse | sdk/eventhub/azure-eventhub-checkpointstoreblob-aio/azure/eventhub/extensions/checkpointstoreblobaio/_vendor/storage/blob/_shared/policies.py | Azure/azure-sdk-for-python | train | 4,046 |
f7d491e730c8392fb354a8858579bbc6398909a7 | [
"if len(nums) <= 1:\n return len(nums)\nstar = 0\nfor i in range(1, len(nums)):\n if nums[i] != nums[star]:\n star += 1\n nums[star] = nums[i]\nreturn star + 1",
"if not nums:\n return 0\nif len(nums) < 2:\n return 1\nlower = index = 0\nfast = 1\nwhile fast < len(nums):\n if nums[fast... | <|body_start_0|>
if len(nums) <= 1:
return len(nums)
star = 0
for i in range(1, len(nums)):
if nums[i] != nums[star]:
star += 1
nums[star] = nums[i]
return star + 1
<|end_body_0|>
<|body_start_1|>
if not nums:
r... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def __removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rty... | stack_v2_sparse_classes_10k_train_000252 | 3,447 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "_removeDuplicates",
"signature": "def _removeDuplicates(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "__removeDuplicates",
"signature": "def __removeDuplicates(self, nums)"
},
{
"docstring... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _removeDuplicates(self, nums): :type nums: List[int] :rtype: int
- def __removeDuplicates(self, nums): :type nums: List[int] :rtype: int
- def removeDuplicates(self, nums): :... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _removeDuplicates(self, nums): :type nums: List[int] :rtype: int
- def __removeDuplicates(self, nums): :type nums: List[int] :rtype: int
- def removeDuplicates(self, nums): :... | 0dd67edca4e0b0323cb5a7239f02ea46383cd15a | <|skeleton|>
class Solution:
def _removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def __removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def removeDuplicates(self, nums):
""":type nums: List[int] :rty... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def _removeDuplicates(self, nums):
""":type nums: List[int] :rtype: int"""
if len(nums) <= 1:
return len(nums)
star = 0
for i in range(1, len(nums)):
if nums[i] != nums[star]:
star += 1
nums[star] = nums[i]
... | the_stack_v2_python_sparse | 26.remove-duplicates-from-sorted-array.py | windard/leeeeee | train | 0 | |
1f81dc3af2038bd7a0ebf317339e6b7275b40737 | [
"self.logo = logo\nself.alternate_logo = alternate_logo\nself.icon = icon\nself.alternate_icon = alternate_icon\nself.primary_color = primary_color\nself.secondary_color = secondary_color\nself.gradient_color_top = gradient_color_top\nself.gradient_color_bottom = gradient_color_bottom\nself.tile = tile\nself.tile_s... | <|body_start_0|>
self.logo = logo
self.alternate_logo = alternate_logo
self.icon = icon
self.alternate_icon = alternate_icon
self.primary_color = primary_color
self.secondary_color = secondary_color
self.gradient_color_top = gradient_color_top
self.gradien... | Implementation of the 'InstitutionBranding' model. TODO: type model description here. Attributes: logo (string): TODO: type description here. alternate_logo (string): TODO: type description here. icon (string): TODO: type description here. alternate_icon (string): TODO: type description here. primary_color (string): TO... | InstitutionBranding | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InstitutionBranding:
"""Implementation of the 'InstitutionBranding' model. TODO: type model description here. Attributes: logo (string): TODO: type description here. alternate_logo (string): TODO: type description here. icon (string): TODO: type description here. alternate_icon (string): TODO: ty... | stack_v2_sparse_classes_10k_train_000253 | 4,401 | permissive | [
{
"docstring": "Constructor for the InstitutionBranding class",
"name": "__init__",
"signature": "def __init__(self, logo=None, icon=None, alternate_icon=None, primary_color=None, gradient_color_top=None, gradient_color_bottom=None, tile=None, button_text_color=None, alternate_logo=None, secondary_color... | 2 | stack_v2_sparse_classes_30k_val_000221 | Implement the Python class `InstitutionBranding` described below.
Class description:
Implementation of the 'InstitutionBranding' model. TODO: type model description here. Attributes: logo (string): TODO: type description here. alternate_logo (string): TODO: type description here. icon (string): TODO: type description ... | Implement the Python class `InstitutionBranding` described below.
Class description:
Implementation of the 'InstitutionBranding' model. TODO: type model description here. Attributes: logo (string): TODO: type description here. alternate_logo (string): TODO: type description here. icon (string): TODO: type description ... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class InstitutionBranding:
"""Implementation of the 'InstitutionBranding' model. TODO: type model description here. Attributes: logo (string): TODO: type description here. alternate_logo (string): TODO: type description here. icon (string): TODO: type description here. alternate_icon (string): TODO: ty... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class InstitutionBranding:
"""Implementation of the 'InstitutionBranding' model. TODO: type model description here. Attributes: logo (string): TODO: type description here. alternate_logo (string): TODO: type description here. icon (string): TODO: type description here. alternate_icon (string): TODO: type descriptio... | the_stack_v2_python_sparse | finicityapi/models/institution_branding.py | monarchmoney/finicity-python | train | 0 |
e0b32925aee455ca49a8ba47f6d45a72e7d74ee0 | [
"super().__init__()\nself.self_attn_layer_norm = nn.LayerNorm(hid_dim)\nself.enc_attn_layer_norm = nn.LayerNorm(hid_dim)\nself.ff_layer_norm = nn.LayerNorm(hid_dim)\nself.self_attention = MultiHeadAttentionLayer(hid_dim, n_heads, dropout)\nself.encoder_attention = MultiHeadAttentionLayer(hid_dim, n_heads, dropout)\... | <|body_start_0|>
super().__init__()
self.self_attn_layer_norm = nn.LayerNorm(hid_dim)
self.enc_attn_layer_norm = nn.LayerNorm(hid_dim)
self.ff_layer_norm = nn.LayerNorm(hid_dim)
self.self_attention = MultiHeadAttentionLayer(hid_dim, n_heads, dropout)
self.encoder_attentio... | TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. Args: hid_dim: the hidden size of the encoder n_heads: the number of heads in the multi-head attention layers pf_dim: the dimension of the feedforward network model dropout: the dropout value device: the device on which the model ... | TransformerDecoderLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerDecoderLayer:
"""TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. Args: hid_dim: the hidden size of the encoder n_heads: the number of heads in the multi-head attention layers pf_dim: the dimension of the feedforward network model dropout: the d... | stack_v2_sparse_classes_10k_train_000254 | 10,223 | permissive | [
{
"docstring": "Initialize model with params.",
"name": "__init__",
"signature": "def __init__(self, hid_dim, n_heads, pf_dim, dropout)"
},
{
"docstring": "Run a forward pass of model over the data.",
"name": "forward",
"signature": "def forward(self, trg, enc_src, trg_mask, src_mask)"
... | 2 | stack_v2_sparse_classes_30k_val_000306 | Implement the Python class `TransformerDecoderLayer` described below.
Class description:
TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. Args: hid_dim: the hidden size of the encoder n_heads: the number of heads in the multi-head attention layers pf_dim: the dimension of the f... | Implement the Python class `TransformerDecoderLayer` described below.
Class description:
TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. Args: hid_dim: the hidden size of the encoder n_heads: the number of heads in the multi-head attention layers pf_dim: the dimension of the f... | 9cdbf270487751a0ad6862b2fea2ccc0e23a0b67 | <|skeleton|>
class TransformerDecoderLayer:
"""TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. Args: hid_dim: the hidden size of the encoder n_heads: the number of heads in the multi-head attention layers pf_dim: the dimension of the feedforward network model dropout: the d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TransformerDecoderLayer:
"""TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. Args: hid_dim: the hidden size of the encoder n_heads: the number of heads in the multi-head attention layers pf_dim: the dimension of the feedforward network model dropout: the dropout value ... | the_stack_v2_python_sparse | caspr/models/transformer.py | microsoft/CASPR | train | 29 |
ad3e822a848fb09cb289c5f4a5df3359ac7a962e | [
"if self.request.method == 'GET':\n return (permissions.IsAuthenticated(), IsInActiveCommunity(), IsAbleToRetrieveInvitation())\nelif self.request.method == 'POST':\n return (permissions.IsAuthenticated(),)\nelif self.request.method in ('PUT', 'PATCH'):\n return (permissions.IsAuthenticated(), IsInActiveCo... | <|body_start_0|>
if self.request.method == 'GET':
return (permissions.IsAuthenticated(), IsInActiveCommunity(), IsAbleToRetrieveInvitation())
elif self.request.method == 'POST':
return (permissions.IsAuthenticated(),)
elif self.request.method in ('PUT', 'PATCH'):
... | Invitation view set | InvitationViewSet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InvitationViewSet:
"""Invitation view set"""
def get_permissions(self):
"""Get permissions"""
<|body_0|>
def get_serializer_class(self):
"""Get serializer class"""
<|body_1|>
def list(self, request, *args, **kwargs):
"""List invitations"""
... | stack_v2_sparse_classes_10k_train_000255 | 27,778 | permissive | [
{
"docstring": "Get permissions",
"name": "get_permissions",
"signature": "def get_permissions(self)"
},
{
"docstring": "Get serializer class",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": "List invitations",
"name": "list",
... | 5 | stack_v2_sparse_classes_30k_train_005821 | Implement the Python class `InvitationViewSet` described below.
Class description:
Invitation view set
Method signatures and docstrings:
- def get_permissions(self): Get permissions
- def get_serializer_class(self): Get serializer class
- def list(self, request, *args, **kwargs): List invitations
- def create(self, r... | Implement the Python class `InvitationViewSet` described below.
Class description:
Invitation view set
Method signatures and docstrings:
- def get_permissions(self): Get permissions
- def get_serializer_class(self): Get serializer class
- def list(self, request, *args, **kwargs): List invitations
- def create(self, r... | cf429f43251ad7e77c0d9bc9fe91bb030ca8bae8 | <|skeleton|>
class InvitationViewSet:
"""Invitation view set"""
def get_permissions(self):
"""Get permissions"""
<|body_0|>
def get_serializer_class(self):
"""Get serializer class"""
<|body_1|>
def list(self, request, *args, **kwargs):
"""List invitations"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class InvitationViewSet:
"""Invitation view set"""
def get_permissions(self):
"""Get permissions"""
if self.request.method == 'GET':
return (permissions.IsAuthenticated(), IsInActiveCommunity(), IsAbleToRetrieveInvitation())
elif self.request.method == 'POST':
re... | the_stack_v2_python_sparse | membership/views.py | 810Teams/clubs-and-events-backend | train | 3 |
ce77e21c9e98a71c86d22d13e2fa1b1bc3fd870d | [
"self._attr_current_option = None\nself.entity_domain = ENTITY_DOMAIN\nsuper().__init__(config_entry=config_entry, coordinator=coordinator, description=description)",
"self._attr_current_option = option\nawait self.async_update_ha_state()\nasync_dispatcher_send(self.hass, SIGNAL_HDHOMERUN_CHANNEL_SOURCE_CHANGE, s... | <|body_start_0|>
self._attr_current_option = None
self.entity_domain = ENTITY_DOMAIN
super().__init__(config_entry=config_entry, coordinator=coordinator, description=description)
<|end_body_0|>
<|body_start_1|>
self._attr_current_option = option
await self.async_update_ha_state(... | Representation for a select entity. | HDHomeRunSelect | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HDHomeRunSelect:
"""Representation for a select entity."""
def __init__(self, coordinator: DataUpdateCoordinator, config_entry: ConfigEntry, description: HDHomeRunSelectDescription) -> None:
"""Initialise."""
<|body_0|>
async def async_select_option(self, option: str) ->... | stack_v2_sparse_classes_10k_train_000256 | 3,793 | permissive | [
{
"docstring": "Initialise.",
"name": "__init__",
"signature": "def __init__(self, coordinator: DataUpdateCoordinator, config_entry: ConfigEntry, description: HDHomeRunSelectDescription) -> None"
},
{
"docstring": "Select the option.",
"name": "async_select_option",
"signature": "async d... | 3 | null | Implement the Python class `HDHomeRunSelect` described below.
Class description:
Representation for a select entity.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator, config_entry: ConfigEntry, description: HDHomeRunSelectDescription) -> None: Initialise.
- async def async_sel... | Implement the Python class `HDHomeRunSelect` described below.
Class description:
Representation for a select entity.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator, config_entry: ConfigEntry, description: HDHomeRunSelectDescription) -> None: Initialise.
- async def async_sel... | 8548d9999ddd54f13d6a307e013abcb8c897a74e | <|skeleton|>
class HDHomeRunSelect:
"""Representation for a select entity."""
def __init__(self, coordinator: DataUpdateCoordinator, config_entry: ConfigEntry, description: HDHomeRunSelectDescription) -> None:
"""Initialise."""
<|body_0|>
async def async_select_option(self, option: str) ->... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class HDHomeRunSelect:
"""Representation for a select entity."""
def __init__(self, coordinator: DataUpdateCoordinator, config_entry: ConfigEntry, description: HDHomeRunSelectDescription) -> None:
"""Initialise."""
self._attr_current_option = None
self.entity_domain = ENTITY_DOMAIN
... | the_stack_v2_python_sparse | custom_components/hdhomerun/select.py | bacco007/HomeAssistantConfig | train | 98 |
a8b901effd6b802e80959fc12ed71be79a91520a | [
"token = model.appspecifictoken.get_token_by_uuid(token_uuid, owner=get_authenticated_user())\nif token is None:\n raise NotFound()\nreturn {'token': token_view(token, include_code=True)}",
"token = model.appspecifictoken.revoke_token_by_uuid(token_uuid, owner=get_authenticated_user())\nif token is None:\n ... | <|body_start_0|>
token = model.appspecifictoken.get_token_by_uuid(token_uuid, owner=get_authenticated_user())
if token is None:
raise NotFound()
return {'token': token_view(token, include_code=True)}
<|end_body_0|>
<|body_start_1|>
token = model.appspecifictoken.revoke_token... | Provides operations on an app specific token. | AppToken | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppToken:
"""Provides operations on an app specific token."""
def get(self, token_uuid):
"""Returns a specific app token for the user."""
<|body_0|>
def delete(self, token_uuid):
"""Revokes a specific app token for the user."""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_10k_train_000257 | 4,648 | permissive | [
{
"docstring": "Returns a specific app token for the user.",
"name": "get",
"signature": "def get(self, token_uuid)"
},
{
"docstring": "Revokes a specific app token for the user.",
"name": "delete",
"signature": "def delete(self, token_uuid)"
}
] | 2 | null | Implement the Python class `AppToken` described below.
Class description:
Provides operations on an app specific token.
Method signatures and docstrings:
- def get(self, token_uuid): Returns a specific app token for the user.
- def delete(self, token_uuid): Revokes a specific app token for the user. | Implement the Python class `AppToken` described below.
Class description:
Provides operations on an app specific token.
Method signatures and docstrings:
- def get(self, token_uuid): Returns a specific app token for the user.
- def delete(self, token_uuid): Revokes a specific app token for the user.
<|skeleton|>
cla... | e400a0c22c5f89dd35d571654b13d262b1f6e3b3 | <|skeleton|>
class AppToken:
"""Provides operations on an app specific token."""
def get(self, token_uuid):
"""Returns a specific app token for the user."""
<|body_0|>
def delete(self, token_uuid):
"""Revokes a specific app token for the user."""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AppToken:
"""Provides operations on an app specific token."""
def get(self, token_uuid):
"""Returns a specific app token for the user."""
token = model.appspecifictoken.get_token_by_uuid(token_uuid, owner=get_authenticated_user())
if token is None:
raise NotFound()
... | the_stack_v2_python_sparse | endpoints/api/appspecifictokens.py | quay/quay | train | 2,363 |
dc0f09381a6c4fb413c2319abfc1603a3d187cbd | [
"try:\n raise RuntimeError('Hello World!')\nexcept Exception:\n self.exc_info = sys.exc_info()",
"exc_class, exc, tb = self.exc_info\ncurrent_msg = str(exc) if exc else str(exc_class)\nnew_exc = exc_class('Re-raised exception: ' + current_msg)\nraise exc_class(new_exc).with_traceback(tb)"
] | <|body_start_0|>
try:
raise RuntimeError('Hello World!')
except Exception:
self.exc_info = sys.exc_info()
<|end_body_0|>
<|body_start_1|>
exc_class, exc, tb = self.exc_info
current_msg = str(exc) if exc else str(exc_class)
new_exc = exc_class('Re-raised e... | Raise an exception, hold it and then re-raise it with original stack trace and a modified modify the message. Kudos: http://nedbatchelder.com/blog/200711/rethrowing_exceptions_in_python.html http://blog.ianbicking.org/2007/09/12/re-raising-exceptions/ | ExceptionHolder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExceptionHolder:
"""Raise an exception, hold it and then re-raise it with original stack trace and a modified modify the message. Kudos: http://nedbatchelder.com/blog/200711/rethrowing_exceptions_in_python.html http://blog.ianbicking.org/2007/09/12/re-raising-exceptions/"""
def part_one(self... | stack_v2_sparse_classes_10k_train_000258 | 1,071 | no_license | [
{
"docstring": "Create exception but hold it.",
"name": "part_one",
"signature": "def part_one(self)"
},
{
"docstring": "Throw exeception generated in part_one with modified message. This exception will seem to come from part_one().",
"name": "part_two",
"signature": "def part_two(self)"... | 2 | stack_v2_sparse_classes_30k_train_002074 | Implement the Python class `ExceptionHolder` described below.
Class description:
Raise an exception, hold it and then re-raise it with original stack trace and a modified modify the message. Kudos: http://nedbatchelder.com/blog/200711/rethrowing_exceptions_in_python.html http://blog.ianbicking.org/2007/09/12/re-raisin... | Implement the Python class `ExceptionHolder` described below.
Class description:
Raise an exception, hold it and then re-raise it with original stack trace and a modified modify the message. Kudos: http://nedbatchelder.com/blog/200711/rethrowing_exceptions_in_python.html http://blog.ianbicking.org/2007/09/12/re-raisin... | 5e47e93c32bc85f986f39b1d4df8a384c7ff0019 | <|skeleton|>
class ExceptionHolder:
"""Raise an exception, hold it and then re-raise it with original stack trace and a modified modify the message. Kudos: http://nedbatchelder.com/blog/200711/rethrowing_exceptions_in_python.html http://blog.ianbicking.org/2007/09/12/re-raising-exceptions/"""
def part_one(self... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ExceptionHolder:
"""Raise an exception, hold it and then re-raise it with original stack trace and a modified modify the message. Kudos: http://nedbatchelder.com/blog/200711/rethrowing_exceptions_in_python.html http://blog.ianbicking.org/2007/09/12/re-raising-exceptions/"""
def part_one(self):
""... | the_stack_v2_python_sparse | python/exception-reraise.py | von/sandbox | train | 4 |
bf37fb402b0884c911d6e576f1b6b0c1abfc35db | [
"found_item = plotter.plots.meshes.get(item_key_name, None)\nif found_item is None:\n plotter.plots.meshes[item_key_name] = render_item\n plotter.ui.plt += render_item\n found_item = render_item\n if not defer_render:\n plotter.ui.plt.render()\nreturn found_item",
"found_item = plotter.plots.me... | <|body_start_0|>
found_item = plotter.plots.meshes.get(item_key_name, None)
if found_item is None:
plotter.plots.meshes[item_key_name] = render_item
plotter.ui.plt += render_item
found_item = render_item
if not defer_render:
plotter.ui.plt.... | docstring for VedoHelpers. Import with: from pyphoplacecellanalysis.GUI.Vedo.VedoMeshManipulatable import VedoPlotterHelpers | VedoPlotterHelpers | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VedoPlotterHelpers:
"""docstring for VedoHelpers. Import with: from pyphoplacecellanalysis.GUI.Vedo.VedoMeshManipulatable import VedoPlotterHelpers"""
def vedo_create_if_needed(cls, plotter, item_key_name, render_item, defer_render=False):
"""Creates a new mesh if it exists in spike_... | stack_v2_sparse_classes_10k_train_000259 | 3,367 | permissive | [
{
"docstring": "Creates a new mesh if it exists in spike_raster_plt_3d_vedo plotter: Spike3DRaster_Vedo the main 3d plotter. item_key_name: str - like 'new_active_axes' render_item: a valid vedo object that can be added to the plotter, like a Mesh or Text3D defer_render: bool - whether to immediately render aft... | 2 | null | Implement the Python class `VedoPlotterHelpers` described below.
Class description:
docstring for VedoHelpers. Import with: from pyphoplacecellanalysis.GUI.Vedo.VedoMeshManipulatable import VedoPlotterHelpers
Method signatures and docstrings:
- def vedo_create_if_needed(cls, plotter, item_key_name, render_item, defer... | Implement the Python class `VedoPlotterHelpers` described below.
Class description:
docstring for VedoHelpers. Import with: from pyphoplacecellanalysis.GUI.Vedo.VedoMeshManipulatable import VedoPlotterHelpers
Method signatures and docstrings:
- def vedo_create_if_needed(cls, plotter, item_key_name, render_item, defer... | 212399d826284b394fce8894ff1a93133aef783f | <|skeleton|>
class VedoPlotterHelpers:
"""docstring for VedoHelpers. Import with: from pyphoplacecellanalysis.GUI.Vedo.VedoMeshManipulatable import VedoPlotterHelpers"""
def vedo_create_if_needed(cls, plotter, item_key_name, render_item, defer_render=False):
"""Creates a new mesh if it exists in spike_... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class VedoPlotterHelpers:
"""docstring for VedoHelpers. Import with: from pyphoplacecellanalysis.GUI.Vedo.VedoMeshManipulatable import VedoPlotterHelpers"""
def vedo_create_if_needed(cls, plotter, item_key_name, render_item, defer_render=False):
"""Creates a new mesh if it exists in spike_raster_plt_3d... | the_stack_v2_python_sparse | src/pyphoplacecellanalysis/GUI/Vedo/VedoMeshManipulatable.py | CommanderPho/pyPhoPlaceCellAnalysis | train | 1 |
735dade4c3ea0b8a592f2eaddf064a5e2891c50c | [
"sample_size = len(samples)\nassert sample_size <= self.config.num_accumulated_batches\nmodel = state.model\nself.zero_grads(state)\nfor idx, (batch_id, (raw_batch, batch)) in enumerate(samples):\n with contextlib_ExitStack() as exit_stack:\n maybe_accumulate_gradients(exit_stack, model, idx, sample_size)... | <|body_start_0|>
sample_size = len(samples)
assert sample_size <= self.config.num_accumulated_batches
model = state.model
self.zero_grads(state)
for idx, (batch_id, (raw_batch, batch)) in enumerate(samples):
with contextlib_ExitStack() as exit_stack:
m... | TaskTrainer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskTrainer:
def run_step(self, samples: List[Any], state: TrainingState, metric_reporter: MetricReporter, report_metric: bool):
"""Our run_step is a bit different, because we're wrapping the model forward call with model.train_batch, which arranges tensors and gets loss, etc. Whenever "... | stack_v2_sparse_classes_10k_train_000260 | 26,177 | permissive | [
{
"docstring": "Our run_step is a bit different, because we're wrapping the model forward call with model.train_batch, which arranges tensors and gets loss, etc. Whenever \"samples\" contains more than one mini-batch (sample_size > 1), we want to accumulate gradients locally and only call all-reduce in the last... | 2 | stack_v2_sparse_classes_30k_train_001754 | Implement the Python class `TaskTrainer` described below.
Class description:
Implement the TaskTrainer class.
Method signatures and docstrings:
- def run_step(self, samples: List[Any], state: TrainingState, metric_reporter: MetricReporter, report_metric: bool): Our run_step is a bit different, because we're wrapping ... | Implement the Python class `TaskTrainer` described below.
Class description:
Implement the TaskTrainer class.
Method signatures and docstrings:
- def run_step(self, samples: List[Any], state: TrainingState, metric_reporter: MetricReporter, report_metric: bool): Our run_step is a bit different, because we're wrapping ... | f82830da00339392fd17c70572cf1920262d6d74 | <|skeleton|>
class TaskTrainer:
def run_step(self, samples: List[Any], state: TrainingState, metric_reporter: MetricReporter, report_metric: bool):
"""Our run_step is a bit different, because we're wrapping the model forward call with model.train_batch, which arranges tensors and gets loss, etc. Whenever "... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TaskTrainer:
def run_step(self, samples: List[Any], state: TrainingState, metric_reporter: MetricReporter, report_metric: bool):
"""Our run_step is a bit different, because we're wrapping the model forward call with model.train_batch, which arranges tensors and gets loss, etc. Whenever "samples" conta... | the_stack_v2_python_sparse | pytext/trainers/trainer.py | appatsekhar/pytext | train | 3 | |
32bdf0b625ad55cdc95fc66095d5c1f9c0740f16 | [
"self.type = type\nself.position = position\nself.name = name\nself.status = status\nself.is_allowed_to_move = is_allowed_to_move\nself.icon = icon\nself.grabbedItems = items_list\nself.has_sering = Item('sering', 'resources//pictures//seringue.png')",
"if level.grid[self.position[0]][self.position[1]] == 'i':\n ... | <|body_start_0|>
self.type = type
self.position = position
self.name = name
self.status = status
self.is_allowed_to_move = is_allowed_to_move
self.icon = icon
self.grabbedItems = items_list
self.has_sering = Item('sering', 'resources//pictures//seringue.pn... | class in order to create instance of game persona caracteristics : - position : position on the grid defined by a tuple (row, column) - name : name of persona. Type string - isGood : define if the persona is a good guy. Type boolean - isMoving : define if the persona is allowed to move. Type boolean - icon : path to th... | Persona | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Persona:
"""class in order to create instance of game persona caracteristics : - position : position on the grid defined by a tuple (row, column) - name : name of persona. Type string - isGood : define if the persona is a good guy. Type boolean - isMoving : define if the persona is allowed to mov... | stack_v2_sparse_classes_10k_train_000261 | 6,247 | permissive | [
{
"docstring": ":param type: Type of the persona. Type string :param position: current position of the persona. Type is tuple :param name: name of the persona. Type is string :param status: Status can the following value 'alive', bad guy', 'dead', 'winner'. Type is string :param is_allowed_to_move: persona is a... | 6 | stack_v2_sparse_classes_30k_val_000010 | Implement the Python class `Persona` described below.
Class description:
class in order to create instance of game persona caracteristics : - position : position on the grid defined by a tuple (row, column) - name : name of persona. Type string - isGood : define if the persona is a good guy. Type boolean - isMoving : ... | Implement the Python class `Persona` described below.
Class description:
class in order to create instance of game persona caracteristics : - position : position on the grid defined by a tuple (row, column) - name : name of persona. Type string - isGood : define if the persona is a good guy. Type boolean - isMoving : ... | 146ef0ec0f114b4deea9373d2fc2befe9a82ceb7 | <|skeleton|>
class Persona:
"""class in order to create instance of game persona caracteristics : - position : position on the grid defined by a tuple (row, column) - name : name of persona. Type string - isGood : define if the persona is a good guy. Type boolean - isMoving : define if the persona is allowed to mov... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Persona:
"""class in order to create instance of game persona caracteristics : - position : position on the grid defined by a tuple (row, column) - name : name of persona. Type string - isGood : define if the persona is a good guy. Type boolean - isMoving : define if the persona is allowed to move. Type boole... | the_stack_v2_python_sparse | models/Persona.py | cendrars59/OPC-DA-PY-P3 | train | 0 |
e8dd285ddcfe4bab3a15b54425c9626ef917bf90 | [
"self.head = head\ntemp = head\ni = 0\nwhile temp is not None:\n i += 1\n temp = temp.next\nself.len = i",
"steps = random.randint(0, self.len - 1)\ntemp = self.head\nfor i in range(steps):\n temp = temp.next\nreturn temp.val"
] | <|body_start_0|>
self.head = head
temp = head
i = 0
while temp is not None:
i += 1
temp = temp.next
self.len = i
<|end_body_0|>
<|body_start_1|>
steps = random.randint(0, self.len - 1)
temp = self.head
for i in range(steps):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, head: ListNode):
"""@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node."""
<|body_0|>
def getRandom(self) -> int:
"""Returns a random node's value."""
<|body_1|>
... | stack_v2_sparse_classes_10k_train_000262 | 1,344 | no_license | [
{
"docstring": "@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node.",
"name": "__init__",
"signature": "def __init__(self, head: ListNode)"
},
{
"docstring": "Returns a random node's value.",
"name": "getRandom",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_002225 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, head: ListNode): @param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node.
- def getRandom(self) -... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, head: ListNode): @param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node.
- def getRandom(self) -... | fb5a930b5ad27e7ed405e5787346327d9b3bf957 | <|skeleton|>
class Solution:
def __init__(self, head: ListNode):
"""@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node."""
<|body_0|>
def getRandom(self) -> int:
"""Returns a random node's value."""
<|body_1|>
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def __init__(self, head: ListNode):
"""@param head The linked list's head. Note that the head is guaranteed to be not null, so it contains at least one node."""
self.head = head
temp = head
i = 0
while temp is not None:
i += 1
temp = te... | the_stack_v2_python_sparse | Jiuzhang_practice/Linkedlist_random_node.py | armstrong019/coding_n_project | train | 0 | |
df8801b358a40c0079308ce0a943089d2866a5c5 | [
"self.ufp_required_field = split_tuple(self.ufp_required_field)\nself.ufp_value = split_tuple(self.ufp_value)\nself.ufp_enabled = split_tuple(self.ufp_enabled)",
"if (ufp_value := self.ufp_value) is not None:\n if TYPE_CHECKING:\n assert isinstance(ufp_value, tuple)\n return get_nested_attr(obj, ufp_... | <|body_start_0|>
self.ufp_required_field = split_tuple(self.ufp_required_field)
self.ufp_value = split_tuple(self.ufp_value)
self.ufp_enabled = split_tuple(self.ufp_enabled)
<|end_body_0|>
<|body_start_1|>
if (ufp_value := self.ufp_value) is not None:
if TYPE_CHECKING:
... | Mixin for required keys. | ProtectRequiredKeysMixin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProtectRequiredKeysMixin:
"""Mixin for required keys."""
def __post_init__(self) -> None:
"""Pre-convert strings to tuples for faster get_nested_attr."""
<|body_0|>
def get_ufp_value(self, obj: T) -> Any:
"""Return value from UniFi Protect device."""
<|bo... | stack_v2_sparse_classes_10k_train_000263 | 5,372 | permissive | [
{
"docstring": "Pre-convert strings to tuples for faster get_nested_attr.",
"name": "__post_init__",
"signature": "def __post_init__(self) -> None"
},
{
"docstring": "Return value from UniFi Protect device.",
"name": "get_ufp_value",
"signature": "def get_ufp_value(self, obj: T) -> Any"
... | 4 | stack_v2_sparse_classes_30k_train_004883 | Implement the Python class `ProtectRequiredKeysMixin` described below.
Class description:
Mixin for required keys.
Method signatures and docstrings:
- def __post_init__(self) -> None: Pre-convert strings to tuples for faster get_nested_attr.
- def get_ufp_value(self, obj: T) -> Any: Return value from UniFi Protect de... | Implement the Python class `ProtectRequiredKeysMixin` described below.
Class description:
Mixin for required keys.
Method signatures and docstrings:
- def __post_init__(self) -> None: Pre-convert strings to tuples for faster get_nested_attr.
- def get_ufp_value(self, obj: T) -> Any: Return value from UniFi Protect de... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class ProtectRequiredKeysMixin:
"""Mixin for required keys."""
def __post_init__(self) -> None:
"""Pre-convert strings to tuples for faster get_nested_attr."""
<|body_0|>
def get_ufp_value(self, obj: T) -> Any:
"""Return value from UniFi Protect device."""
<|bo... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ProtectRequiredKeysMixin:
"""Mixin for required keys."""
def __post_init__(self) -> None:
"""Pre-convert strings to tuples for faster get_nested_attr."""
self.ufp_required_field = split_tuple(self.ufp_required_field)
self.ufp_value = split_tuple(self.ufp_value)
self.ufp_en... | the_stack_v2_python_sparse | homeassistant/components/unifiprotect/models.py | home-assistant/core | train | 35,501 |
882905b66eb19f6db75b4fed87543117ef47e4d2 | [
"map_file = open(Serializer.FILE_NAME, 'wb')\npickle.dump(game_map, map_file)\ncustom_log.logger.info('Map Saved!')\ncustom_log.logger.info('---------------------------------------------------')",
"try:\n with open(Serializer.FILE_NAME, 'rb') as map_file:\n game_map = pickle.load(map_file)\n cust... | <|body_start_0|>
map_file = open(Serializer.FILE_NAME, 'wb')
pickle.dump(game_map, map_file)
custom_log.logger.info('Map Saved!')
custom_log.logger.info('---------------------------------------------------')
<|end_body_0|>
<|body_start_1|>
try:
with open(Serializer.F... | Serializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Serializer:
def save_map(game_map):
"""Save Game map. :param game_map: game map. :game_map type: str. :returns: None. :rtype: None."""
<|body_0|>
def load_map():
"""Load Game map. :returns: Game Map. :rtype: str."""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_10k_train_000264 | 1,231 | permissive | [
{
"docstring": "Save Game map. :param game_map: game map. :game_map type: str. :returns: None. :rtype: None.",
"name": "save_map",
"signature": "def save_map(game_map)"
},
{
"docstring": "Load Game map. :returns: Game Map. :rtype: str.",
"name": "load_map",
"signature": "def load_map()"
... | 2 | null | Implement the Python class `Serializer` described below.
Class description:
Implement the Serializer class.
Method signatures and docstrings:
- def save_map(game_map): Save Game map. :param game_map: game map. :game_map type: str. :returns: None. :rtype: None.
- def load_map(): Load Game map. :returns: Game Map. :rty... | Implement the Python class `Serializer` described below.
Class description:
Implement the Serializer class.
Method signatures and docstrings:
- def save_map(game_map): Save Game map. :param game_map: game map. :game_map type: str. :returns: None. :rtype: None.
- def load_map(): Load Game map. :returns: Game Map. :rty... | 291592e97b6d8fe9f9e6627dc0023875918d3463 | <|skeleton|>
class Serializer:
def save_map(game_map):
"""Save Game map. :param game_map: game map. :game_map type: str. :returns: None. :rtype: None."""
<|body_0|>
def load_map():
"""Load Game map. :returns: Game Map. :rtype: str."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Serializer:
def save_map(game_map):
"""Save Game map. :param game_map: game map. :game_map type: str. :returns: None. :rtype: None."""
map_file = open(Serializer.FILE_NAME, 'wb')
pickle.dump(game_map, map_file)
custom_log.logger.info('Map Saved!')
custom_log.logger.info... | the_stack_v2_python_sparse | Yurii_Smazhnyi/10/dungeon_game/dungeon_game_smazhnyi/serializer.py | SmischenkoB/campus_2018_python | train | 0 | |
9db1feedb9a50452257eeb67949f75d50f15565c | [
"self.statevar = ['swq']\nself.obsvar = 'snow_cover'\nself.uncert = uncert",
"data = {}\ndb = dbio.connect(models.dbname)\ncur = db.cursor()\nfor s in self.statevar:\n sql = \"select ensemble,st_x(geom),st_y(geom),val from (select ensemble,(ST_PixelAsCentroids(rast)).* from {0}.{1} where fdate=date '{2}-{3}-{4... | <|body_start_0|>
self.statevar = ['swq']
self.obsvar = 'snow_cover'
self.uncert = uncert
<|end_body_0|>
<|body_start_1|>
data = {}
db = dbio.connect(models.dbname)
cur = db.cursor()
for s in self.statevar:
sql = "select ensemble,st_x(geom),st_y(geom),... | Snowcover | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Snowcover:
def __init__(self, uncert=None):
"""Initialize MODSCAG snow cover fraction object."""
<|body_0|>
def x(self, dt, models):
"""Retrieve state variable from database."""
<|body_1|>
def get(self, dt, models):
"""Retrieve observations from ... | stack_v2_sparse_classes_10k_train_000265 | 2,788 | permissive | [
{
"docstring": "Initialize MODSCAG snow cover fraction object.",
"name": "__init__",
"signature": "def __init__(self, uncert=None)"
},
{
"docstring": "Retrieve state variable from database.",
"name": "x",
"signature": "def x(self, dt, models)"
},
{
"docstring": "Retrieve observat... | 4 | stack_v2_sparse_classes_30k_train_001437 | Implement the Python class `Snowcover` described below.
Class description:
Implement the Snowcover class.
Method signatures and docstrings:
- def __init__(self, uncert=None): Initialize MODSCAG snow cover fraction object.
- def x(self, dt, models): Retrieve state variable from database.
- def get(self, dt, models): R... | Implement the Python class `Snowcover` described below.
Class description:
Implement the Snowcover class.
Method signatures and docstrings:
- def __init__(self, uncert=None): Initialize MODSCAG snow cover fraction object.
- def x(self, dt, models): Retrieve state variable from database.
- def get(self, dt, models): R... | 27d0abcaeefd8760ce68e05e52905aea5f8f3a51 | <|skeleton|>
class Snowcover:
def __init__(self, uncert=None):
"""Initialize MODSCAG snow cover fraction object."""
<|body_0|>
def x(self, dt, models):
"""Retrieve state variable from database."""
<|body_1|>
def get(self, dt, models):
"""Retrieve observations from ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Snowcover:
def __init__(self, uncert=None):
"""Initialize MODSCAG snow cover fraction object."""
self.statevar = ['swq']
self.obsvar = 'snow_cover'
self.uncert = uncert
def x(self, dt, models):
"""Retrieve state variable from database."""
data = {}
... | the_stack_v2_python_sparse | src/datasets/snowcover.py | nasa/RHEAS | train | 88 | |
402bad30f81c9bf2a3c4faca5e710825b32eb91a | [
"self.criteria = kwargs.pop('criteria')\nsuper().__init__(*args, **kwargs)\nself.fields['levels_of_attainment'].initial = ', '.join(self.criteria[0].categories)",
"form_data = super().clean()\nn_loas = len([loa for loa in form_data['levels_of_attainment'].split(',') if loa])\nif n_loas != len(self.criteria[0].cat... | <|body_start_0|>
self.criteria = kwargs.pop('criteria')
super().__init__(*args, **kwargs)
self.fields['levels_of_attainment'].initial = ', '.join(self.criteria[0].categories)
<|end_body_0|>
<|body_start_1|>
form_data = super().clean()
n_loas = len([loa for loa in form_data['leve... | Edit the levels of attainment of a rubric. | RubricLOAForm | [
"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 RubricLOAForm:
"""Edit the levels of attainment of a rubric."""
def __init__(self, *args, **kwargs):
"""Store the criteria."""
<|body_0|>
def clean(self) -> Dict:
"""Check that the number of LOAs didn't change."""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_10k_train_000266 | 4,556 | permissive | [
{
"docstring": "Store the criteria.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Check that the number of LOAs didn't change.",
"name": "clean",
"signature": "def clean(self) -> Dict"
}
] | 2 | null | Implement the Python class `RubricLOAForm` described below.
Class description:
Edit the levels of attainment of a rubric.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Store the criteria.
- def clean(self) -> Dict: Check that the number of LOAs didn't change. | Implement the Python class `RubricLOAForm` described below.
Class description:
Edit the levels of attainment of a rubric.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Store the criteria.
- def clean(self) -> Dict: Check that the number of LOAs didn't change.
<|skeleton|>
class RubricLOAFo... | c432745dfff932cbe7397100422d49df78f0a882 | <|skeleton|>
class RubricLOAForm:
"""Edit the levels of attainment of a rubric."""
def __init__(self, *args, **kwargs):
"""Store the criteria."""
<|body_0|>
def clean(self) -> Dict:
"""Check that the number of LOAs didn't change."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RubricLOAForm:
"""Edit the levels of attainment of a rubric."""
def __init__(self, *args, **kwargs):
"""Store the criteria."""
self.criteria = kwargs.pop('criteria')
super().__init__(*args, **kwargs)
self.fields['levels_of_attainment'].initial = ', '.join(self.criteria[0].... | the_stack_v2_python_sparse | ontask/action/forms/crud.py | abelardopardo/ontask_b | train | 43 |
1cc5847563b3606fc337946683b75fb15e332235 | [
"self.id = id\nself.created_date = created_date\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nid = dictionary.get('id')\ncreated_date = dictionary.get('createdDate')\nfor key in cls._names.values():\n if key in dictionary:\n del dictionary[key]\nreturn c... | <|body_start_0|>
self.id = id
self.created_date = created_date
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
id = dictionary.get('id')
created_date = dictionary.get('createdDate')
... | Implementation of the 'Create TxPush Test Transaction Response' model. Response for TxPush test transaction Attributes: id (long|int): The ID of the new transaction record created_date (long|int): A timestamp of when the transaction was added (see Handling Dates and Times) | CreateTxpushTestTransactionResponse | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateTxpushTestTransactionResponse:
"""Implementation of the 'Create TxPush Test Transaction Response' model. Response for TxPush test transaction Attributes: id (long|int): The ID of the new transaction record created_date (long|int): A timestamp of when the transaction was added (see Handling ... | stack_v2_sparse_classes_10k_train_000267 | 2,019 | permissive | [
{
"docstring": "Constructor for the CreateTxpushTestTransactionResponse class",
"name": "__init__",
"signature": "def __init__(self, id=None, created_date=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dict... | 2 | stack_v2_sparse_classes_30k_train_001861 | Implement the Python class `CreateTxpushTestTransactionResponse` described below.
Class description:
Implementation of the 'Create TxPush Test Transaction Response' model. Response for TxPush test transaction Attributes: id (long|int): The ID of the new transaction record created_date (long|int): A timestamp of when t... | Implement the Python class `CreateTxpushTestTransactionResponse` described below.
Class description:
Implementation of the 'Create TxPush Test Transaction Response' model. Response for TxPush test transaction Attributes: id (long|int): The ID of the new transaction record created_date (long|int): A timestamp of when t... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class CreateTxpushTestTransactionResponse:
"""Implementation of the 'Create TxPush Test Transaction Response' model. Response for TxPush test transaction Attributes: id (long|int): The ID of the new transaction record created_date (long|int): A timestamp of when the transaction was added (see Handling ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CreateTxpushTestTransactionResponse:
"""Implementation of the 'Create TxPush Test Transaction Response' model. Response for TxPush test transaction Attributes: id (long|int): The ID of the new transaction record created_date (long|int): A timestamp of when the transaction was added (see Handling Dates and Tim... | the_stack_v2_python_sparse | finicityapi/models/create_txpush_test_transaction_response.py | monarchmoney/finicity-python | train | 0 |
8469a8aebcaad6f103eec9c98f31ead992183c71 | [
"with tf.variable_scope('interatomic_dists'):\n dists = tf.sqrt(tf.reduce_sum(tf.square(R[:, None, :, :] - R[:, :, None, :]), axis=-1))\nreturn dists",
"with tf.variable_scope('gauss_grid'):\n num = int(np.ceil((mu_max - mu_min) / delta_mu))\n remainder = num * delta_mu - (mu_max - mu_min)\n mu = self... | <|body_start_0|>
with tf.variable_scope('interatomic_dists'):
dists = tf.sqrt(tf.reduce_sum(tf.square(R[:, None, :, :] - R[:, :, None, :]), axis=-1))
return dists
<|end_body_0|>
<|body_start_1|>
with tf.variable_scope('gauss_grid'):
num = int(np.ceil((mu_max - mu_min) / ... | MolecularPreprocessingMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MolecularPreprocessingMixin:
def _interatomic_dists(self, R):
"""transforms absolute coordinates in data matrix R to pairwise distance matrices params: R - matrix of shape (n_points, n_atoms, 3) returns - pairwise distance matrix of shape (n_points, n_atoms, n_atoms)"""
<|body_0|... | stack_v2_sparse_classes_10k_train_000268 | 18,572 | no_license | [
{
"docstring": "transforms absolute coordinates in data matrix R to pairwise distance matrices params: R - matrix of shape (n_points, n_atoms, 3) returns - pairwise distance matrix of shape (n_points, n_atoms, n_atoms)",
"name": "_interatomic_dists",
"signature": "def _interatomic_dists(self, R)"
},
... | 2 | stack_v2_sparse_classes_30k_test_000037 | Implement the Python class `MolecularPreprocessingMixin` described below.
Class description:
Implement the MolecularPreprocessingMixin class.
Method signatures and docstrings:
- def _interatomic_dists(self, R): transforms absolute coordinates in data matrix R to pairwise distance matrices params: R - matrix of shape ... | Implement the Python class `MolecularPreprocessingMixin` described below.
Class description:
Implement the MolecularPreprocessingMixin class.
Method signatures and docstrings:
- def _interatomic_dists(self, R): transforms absolute coordinates in data matrix R to pairwise distance matrices params: R - matrix of shape ... | b54a80ce4be5b89a1b2c5bf3ebc0308d12e4c9b6 | <|skeleton|>
class MolecularPreprocessingMixin:
def _interatomic_dists(self, R):
"""transforms absolute coordinates in data matrix R to pairwise distance matrices params: R - matrix of shape (n_points, n_atoms, 3) returns - pairwise distance matrix of shape (n_points, n_atoms, n_atoms)"""
<|body_0|... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MolecularPreprocessingMixin:
def _interatomic_dists(self, R):
"""transforms absolute coordinates in data matrix R to pairwise distance matrices params: R - matrix of shape (n_points, n_atoms, 3) returns - pairwise distance matrix of shape (n_points, n_atoms, n_atoms)"""
with tf.variable_scope(... | the_stack_v2_python_sparse | networks/neuralnet.py | qk/unn | train | 1 | |
b6453361031f0b9ce581abe770960536889d98bf | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\ntry:\n mapping_value = parse_node.get_child_node('@odata.type').get_str_value()\nexcept AttributeError:\n mapping_value = None\nif mapping_value and mapping_value.casefold() == '#microsoft.graph.notebook'.casefold():\n from .notebook i... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
try:
mapping_value = parse_node.get_child_node('@odata.type').get_str_value()
except AttributeError:
mapping_value = None
if mapping_value and mapping_value.casefold() ==... | OnenoteEntityHierarchyModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OnenoteEntityHierarchyModel:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> OnenoteEntityHierarchyModel:
"""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 a... | stack_v2_sparse_classes_10k_train_000269 | 4,684 | 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: OnenoteEntityHierarchyModel",
"name": "create_from_discriminator_value",
"signature": "def create_from_discr... | 3 | stack_v2_sparse_classes_30k_train_001516 | Implement the Python class `OnenoteEntityHierarchyModel` described below.
Class description:
Implement the OnenoteEntityHierarchyModel class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> OnenoteEntityHierarchyModel: Creates a new instance of the appr... | Implement the Python class `OnenoteEntityHierarchyModel` described below.
Class description:
Implement the OnenoteEntityHierarchyModel class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> OnenoteEntityHierarchyModel: Creates a new instance of the appr... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class OnenoteEntityHierarchyModel:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> OnenoteEntityHierarchyModel:
"""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 a... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OnenoteEntityHierarchyModel:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> OnenoteEntityHierarchyModel:
"""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 ... | the_stack_v2_python_sparse | msgraph/generated/models/onenote_entity_hierarchy_model.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
5dc4e213daef57cb10919bb09b98075aeb004d7a | [
"if not lists:\n return None\nleft, right = (0, len(lists) - 1)\nwhile right > 0:\n if left >= right:\n left = 0\n else:\n lists[left] = self.merge_two(lists[left], lists[right])\n left += 1\n right -= 1\nreturn lists[0]",
"curr = dummy = ListNode('X')\nwhile l1 and l2:\n i... | <|body_start_0|>
if not lists:
return None
left, right = (0, len(lists) - 1)
while right > 0:
if left >= right:
left = 0
else:
lists[left] = self.merge_two(lists[left], lists[right])
left += 1
rig... | Solution_STD | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution_STD:
def mergeKLists(self, lists: List[ListNode]) -> ListNode:
"""Improved from C1 这个方法采用首尾合并, 这样能显著减少重复流经的节点 首尾相遇后, 重置首为0, 尾不变(因为已经都被合并到前面去了)"""
<|body_0|>
def merge_two(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Helper for Solution C1 and C2 (now se... | stack_v2_sparse_classes_10k_train_000270 | 4,145 | permissive | [
{
"docstring": "Improved from C1 这个方法采用首尾合并, 这样能显著减少重复流经的节点 首尾相遇后, 重置首为0, 尾不变(因为已经都被合并到前面去了)",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists: List[ListNode]) -> ListNode"
},
{
"docstring": "Helper for Solution C1 and C2 (now set out side of the Solution) merge two sorted linke... | 2 | null | Implement the Python class `Solution_STD` described below.
Class description:
Implement the Solution_STD class.
Method signatures and docstrings:
- def mergeKLists(self, lists: List[ListNode]) -> ListNode: Improved from C1 这个方法采用首尾合并, 这样能显著减少重复流经的节点 首尾相遇后, 重置首为0, 尾不变(因为已经都被合并到前面去了)
- def merge_two(self, l1: ListNode,... | Implement the Python class `Solution_STD` described below.
Class description:
Implement the Solution_STD class.
Method signatures and docstrings:
- def mergeKLists(self, lists: List[ListNode]) -> ListNode: Improved from C1 这个方法采用首尾合并, 这样能显著减少重复流经的节点 首尾相遇后, 重置首为0, 尾不变(因为已经都被合并到前面去了)
- def merge_two(self, l1: ListNode,... | 143422321cbc3715ca08f6c3af8f960a55887ced | <|skeleton|>
class Solution_STD:
def mergeKLists(self, lists: List[ListNode]) -> ListNode:
"""Improved from C1 这个方法采用首尾合并, 这样能显著减少重复流经的节点 首尾相遇后, 重置首为0, 尾不变(因为已经都被合并到前面去了)"""
<|body_0|>
def merge_two(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Helper for Solution C1 and C2 (now se... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution_STD:
def mergeKLists(self, lists: List[ListNode]) -> ListNode:
"""Improved from C1 这个方法采用首尾合并, 这样能显著减少重复流经的节点 首尾相遇后, 重置首为0, 尾不变(因为已经都被合并到前面去了)"""
if not lists:
return None
left, right = (0, len(lists) - 1)
while right > 0:
if left >= right:
... | the_stack_v2_python_sparse | LeetCode/LC023_merge_k_sorted_list.py | jxie0755/Learning_Python | train | 0 | |
ef883a8c3b5db22bf83c58765c7bf09f88657fc7 | [
"print('build SetRank')\nself.hparams = ultra.utils.hparams.HParams(d_model=256, num_heads=8, num_layers=2, diff=64, rate=0.0, initializer=None, output_size=1)\nself.hparams.parse(hparams_str)\nself.initializer = None\nif self.hparams.initializer == 'constant':\n self.initializer = tf.constant_initializer(0.001)... | <|body_start_0|>
print('build SetRank')
self.hparams = ultra.utils.hparams.HParams(d_model=256, num_heads=8, num_layers=2, diff=64, rate=0.0, initializer=None, output_size=1)
self.hparams.parse(hparams_str)
self.initializer = None
if self.hparams.initializer == 'constant':
... | The SetRank model for learning to rank. This class implements the SetRank model for ranking. See the following paper for more information. * Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. In Proceedings of SIG... | SetRank | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SetRank:
"""The SetRank model for learning to rank. This class implements the SetRank model for ranking. See the following paper for more information. * Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutation-Invariant Ranking Model for Informati... | stack_v2_sparse_classes_10k_train_000271 | 10,418 | permissive | [
{
"docstring": "Create the network. Args: hparams_str: (String) The hyper-parameters used to build the network.",
"name": "__init__",
"signature": "def __init__(self, hparams_str)"
},
{
"docstring": "Create the SetRank model (no supports for noisy parameters) Args: input_list: (list<tf.tensor>) ... | 2 | stack_v2_sparse_classes_30k_train_002721 | Implement the Python class `SetRank` described below.
Class description:
The SetRank model for learning to rank. This class implements the SetRank model for ranking. See the following paper for more information. * Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutatio... | Implement the Python class `SetRank` described below.
Class description:
The SetRank model for learning to rank. This class implements the SetRank model for ranking. See the following paper for more information. * Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutatio... | 89ffcaeb1049627d90518c2045dad7a996dfe2aa | <|skeleton|>
class SetRank:
"""The SetRank model for learning to rank. This class implements the SetRank model for ranking. See the following paper for more information. * Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutation-Invariant Ranking Model for Informati... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SetRank:
"""The SetRank model for learning to rank. This class implements the SetRank model for ranking. See the following paper for more information. * Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.... | the_stack_v2_python_sparse | ultra/ranking_model/SetRank.py | ULTR-Community/ULTRA | train | 281 |
b911e40a3f5d80d4cfcbace42b8d3795e1f7bdcf | [
"params['n_clusters'] = n_clusters\nself.km = Kmeans(**params)\nself.metric = self.km.metric",
"self.covmeans_ = []\nself.classes_ = numpy.unique(y)\nfor c in self.classes_:\n self.km.fit(X[y == c])\n self.covmeans_.extend(self.km.centroids())\nreturn self",
"mdm = MDM(metric=self.metric)\nmdm.covmeans_ =... | <|body_start_0|>
params['n_clusters'] = n_clusters
self.km = Kmeans(**params)
self.metric = self.km.metric
<|end_body_0|>
<|body_start_1|>
self.covmeans_ = []
self.classes_ = numpy.unique(y)
for c in self.classes_:
self.km.fit(X[y == c])
self.covm... | Run kmeans for each class. | KmeansPerClassTransform | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KmeansPerClassTransform:
"""Run kmeans for each class."""
def __init__(self, n_clusters=2, **params):
"""Init."""
<|body_0|>
def fit(self, X, y):
"""fit."""
<|body_1|>
def transform(self, X):
"""transform."""
<|body_2|>
<|end_skeleto... | stack_v2_sparse_classes_10k_train_000272 | 12,224 | permissive | [
{
"docstring": "Init.",
"name": "__init__",
"signature": "def __init__(self, n_clusters=2, **params)"
},
{
"docstring": "fit.",
"name": "fit",
"signature": "def fit(self, X, y)"
},
{
"docstring": "transform.",
"name": "transform",
"signature": "def transform(self, X)"
}... | 3 | stack_v2_sparse_classes_30k_train_003955 | Implement the Python class `KmeansPerClassTransform` described below.
Class description:
Run kmeans for each class.
Method signatures and docstrings:
- def __init__(self, n_clusters=2, **params): Init.
- def fit(self, X, y): fit.
- def transform(self, X): transform. | Implement the Python class `KmeansPerClassTransform` described below.
Class description:
Run kmeans for each class.
Method signatures and docstrings:
- def __init__(self, n_clusters=2, **params): Init.
- def fit(self, X, y): fit.
- def transform(self, X): transform.
<|skeleton|>
class KmeansPerClassTransform:
""... | 26c2ebf5200b5a5cd268fa73ac3928d7257d08d3 | <|skeleton|>
class KmeansPerClassTransform:
"""Run kmeans for each class."""
def __init__(self, n_clusters=2, **params):
"""Init."""
<|body_0|>
def fit(self, X, y):
"""fit."""
<|body_1|>
def transform(self, X):
"""transform."""
<|body_2|>
<|end_skeleto... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class KmeansPerClassTransform:
"""Run kmeans for each class."""
def __init__(self, n_clusters=2, **params):
"""Init."""
params['n_clusters'] = n_clusters
self.km = Kmeans(**params)
self.metric = self.km.metric
def fit(self, X, y):
"""fit."""
self.covmeans_ =... | the_stack_v2_python_sparse | externals/pyriemann/clustering.py | kingjr/decoding_challenge_cortana_2016_3rd | train | 10 |
48b6bfdf3841c55d1521e60891df82f07dde1335 | [
"n = len(nums)\n\ndef dfs(a, cur):\n nonlocal res\n if a == (1 << n) - 1:\n res.append(cur)\n for i in range(n):\n if a & 1 << i:\n continue\n dfs(a | 1 << i, cur + [nums[i]])\nres = []\ndfs(0, [])\nreturn res",
"n = len(nums)\n\ndef dfs(start):\n nonlocal res\n if s... | <|body_start_0|>
n = len(nums)
def dfs(a, cur):
nonlocal res
if a == (1 << n) - 1:
res.append(cur)
for i in range(n):
if a & 1 << i:
continue
dfs(a | 1 << i, cur + [nums[i]])
res = []
... | [46. 全排列](https://leetcode-cn.com/problems/permutations/) | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""[46. 全排列](https://leetcode-cn.com/problems/permutations/)"""
def permute(self, nums: List[int]) -> List[List[int]]:
"""思路：回溯算法，由于没有重复的数字，每次传一个值，用二进制代表哪个位置被选过"""
<|body_0|>
def permute2(self, nums: List[int]) -> List[List[int]]:
"""思路：回溯算法，大佬的交换法，可以随递... | stack_v2_sparse_classes_10k_train_000273 | 1,469 | no_license | [
{
"docstring": "思路：回溯算法，由于没有重复的数字，每次传一个值，用二进制代表哪个位置被选过",
"name": "permute",
"signature": "def permute(self, nums: List[int]) -> List[List[int]]"
},
{
"docstring": "思路：回溯算法，大佬的交换法，可以随递归深度缩小遍历次数",
"name": "permute2",
"signature": "def permute2(self, nums: List[int]) -> List[List[int]]"
}... | 2 | null | Implement the Python class `Solution` described below.
Class description:
[46. 全排列](https://leetcode-cn.com/problems/permutations/)
Method signatures and docstrings:
- def permute(self, nums: List[int]) -> List[List[int]]: 思路：回溯算法，由于没有重复的数字，每次传一个值，用二进制代表哪个位置被选过
- def permute2(self, nums: List[int]) -> List[List[int]]... | Implement the Python class `Solution` described below.
Class description:
[46. 全排列](https://leetcode-cn.com/problems/permutations/)
Method signatures and docstrings:
- def permute(self, nums: List[int]) -> List[List[int]]: 思路：回溯算法，由于没有重复的数字，每次传一个值，用二进制代表哪个位置被选过
- def permute2(self, nums: List[int]) -> List[List[int]]... | dbe8eb449e5b112a71bc1cd4eabfd138304de4a3 | <|skeleton|>
class Solution:
"""[46. 全排列](https://leetcode-cn.com/problems/permutations/)"""
def permute(self, nums: List[int]) -> List[List[int]]:
"""思路：回溯算法，由于没有重复的数字，每次传一个值，用二进制代表哪个位置被选过"""
<|body_0|>
def permute2(self, nums: List[int]) -> List[List[int]]:
"""思路：回溯算法，大佬的交换法，可以随递... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
"""[46. 全排列](https://leetcode-cn.com/problems/permutations/)"""
def permute(self, nums: List[int]) -> List[List[int]]:
"""思路：回溯算法，由于没有重复的数字，每次传一个值，用二进制代表哪个位置被选过"""
n = len(nums)
def dfs(a, cur):
nonlocal res
if a == (1 << n) - 1:
... | the_stack_v2_python_sparse | leetcode/1-300/46.py | Rivarrl/leetcode_python | train | 3 |
fd9170e9e6144146496359d46112e3f5b2ae8252 | [
"LOG.info('doLogin called {}.'.format(PrettyFormatAny.form(p_json, 'Login From Browser')))\nl_obj = json_tools.decode_json_unicode(p_json)\nl_login_obj = self.validate_user(l_obj)\nl_json = json_tools.encode_json(l_login_obj)\nreturn l_json",
"l_obj = dict(Devices=VALID_DEVICE_TYPES, Families=VALID_FAMILIES, Floo... | <|body_start_0|>
LOG.info('doLogin called {}.'.format(PrettyFormatAny.form(p_json, 'Login From Browser')))
l_obj = json_tools.decode_json_unicode(p_json)
l_login_obj = self.validate_user(l_obj)
l_json = json_tools.encode_json(l_login_obj)
return l_json
<|end_body_0|>
<|body_star... | LoginHelper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginHelper:
def doLogin(self, p_json):
"""This will receive json of username, password when the user clicks on the login button in the browser. First, we validate the user If valid, display the user and then the root menu. If not - allow the user to retry the login. also allow user to c... | stack_v2_sparse_classes_10k_train_000274 | 10,628 | no_license | [
{
"docstring": "This will receive json of username, password when the user clicks on the login button in the browser. First, we validate the user If valid, display the user and then the root menu. If not - allow the user to retry the login. also allow user to check the change button and apply the change after l... | 3 | stack_v2_sparse_classes_30k_train_001144 | Implement the Python class `LoginHelper` described below.
Class description:
Implement the LoginHelper class.
Method signatures and docstrings:
- def doLogin(self, p_json): This will receive json of username, password when the user clicks on the login button in the browser. First, we validate the user If valid, displ... | Implement the Python class `LoginHelper` described below.
Class description:
Implement the LoginHelper class.
Method signatures and docstrings:
- def doLogin(self, p_json): This will receive json of username, password when the user clicks on the login button in the browser. First, we validate the user If valid, displ... | 8ccbbd1494b7b33ff5099d321cda634fbb254ceb | <|skeleton|>
class LoginHelper:
def doLogin(self, p_json):
"""This will receive json of username, password when the user clicks on the login button in the browser. First, we validate the user If valid, display the user and then the root menu. If not - allow the user to retry the login. also allow user to c... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LoginHelper:
def doLogin(self, p_json):
"""This will receive json of username, password when the user clicks on the login button in the browser. First, we validate the user If valid, display the user and then the root menu. If not - allow the user to retry the login. also allow user to check the chang... | the_stack_v2_python_sparse | Project/src/Modules/Computer/Web/web_login.py | bopopescu/PyHouse | train | 0 | |
f9e60960a5cf11441200ec474a266ed766c36a45 | [
"self.data_train = tfds.load('ted_hrlr_translate/pt_to_en', split='train', as_supervised=True)\nself.data_valid = tfds.load('ted_hrlr_translate/pt_to_en', split='validation', as_supervised=True)\ntokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)\nself.tokenizer_pt = tokenizer_pt\nself.tokenizer_en... | <|body_start_0|>
self.data_train = tfds.load('ted_hrlr_translate/pt_to_en', split='train', as_supervised=True)
self.data_valid = tfds.load('ted_hrlr_translate/pt_to_en', split='validation', as_supervised=True)
tokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)
self.token... | class dataset | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""class dataset"""
def __init__(self):
"""constructor instance attributes: data_train: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset train split, loaded as_supervided data_valid: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset validate split, loaded as_s... | stack_v2_sparse_classes_10k_train_000275 | 1,987 | no_license | [
{
"docstring": "constructor instance attributes: data_train: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset train split, loaded as_supervided data_valid: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset validate split, loaded as_supervided tokenizer_pt: is the Portuguese tokenizer created from... | 2 | stack_v2_sparse_classes_30k_train_006736 | Implement the Python class `Dataset` described below.
Class description:
class dataset
Method signatures and docstrings:
- def __init__(self): constructor instance attributes: data_train: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset train split, loaded as_supervided data_valid: contains the ted_hrlr_trans... | Implement the Python class `Dataset` described below.
Class description:
class dataset
Method signatures and docstrings:
- def __init__(self): constructor instance attributes: data_train: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset train split, loaded as_supervided data_valid: contains the ted_hrlr_trans... | ff1af62484620b599cc3813068770db03b37036d | <|skeleton|>
class Dataset:
"""class dataset"""
def __init__(self):
"""constructor instance attributes: data_train: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset train split, loaded as_supervided data_valid: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset validate split, loaded as_s... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Dataset:
"""class dataset"""
def __init__(self):
"""constructor instance attributes: data_train: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset train split, loaded as_supervided data_valid: contains the ted_hrlr_translate/pt_to_en tf.data.Dataset validate split, loaded as_supervided tok... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/0-dataset.py | paurbano/holbertonschool-machine_learning | train | 0 |
10d23eb14c95df3f69d5caaa95ddfa7cb8e0635a | [
"self.scrreningconditionInt = scrreningconditionInt\nself.samlingConditionInt = samplingConditionInt\nself.screeningconditionFloat = screeningconditionFloat\nself.samlingConditionFloat = samlingConditionFloat\nself.screeningConditionStr = screeningConditionStr\nself.samlingConditionStr = samlingConditionStr\nself.s... | <|body_start_0|>
self.scrreningconditionInt = scrreningconditionInt
self.samlingConditionInt = samplingConditionInt
self.screeningconditionFloat = screeningconditionFloat
self.samlingConditionFloat = samlingConditionFloat
self.screeningConditionStr = screeningConditionStr
... | SamplingAndScreeningFactory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SamplingAndScreeningFactory:
def __init__(self, intNum, samplingConditionInt, scrreningconditionInt, floatNum, samlingConditionFloat, screeningconditionFloat, strNum, samlingConditionStr, screeningConditionStr, strlen=6):
""":param intNum:产生整数随机数的个数 :param samplingConditionInt: 整数随机数生成范围... | stack_v2_sparse_classes_10k_train_000276 | 2,892 | no_license | [
{
"docstring": ":param intNum:产生整数随机数的个数 :param samplingConditionInt: 整数随机数生成范围 :param scrreningconditionInt: 整数随机数筛选范围 :param floatNum: 产生浮点数的个数 :param samlingConditionFloat:浮点数的生成范围 :param screeningconditionFloat:浮点数的筛选范围 :param strNum:产生字符串的个数 :param samlingConditionStr:字符串的生成范围 :param screeningConditionStr:... | 2 | null | Implement the Python class `SamplingAndScreeningFactory` described below.
Class description:
Implement the SamplingAndScreeningFactory class.
Method signatures and docstrings:
- def __init__(self, intNum, samplingConditionInt, scrreningconditionInt, floatNum, samlingConditionFloat, screeningconditionFloat, strNum, sa... | Implement the Python class `SamplingAndScreeningFactory` described below.
Class description:
Implement the SamplingAndScreeningFactory class.
Method signatures and docstrings:
- def __init__(self, intNum, samplingConditionInt, scrreningconditionInt, floatNum, samlingConditionFloat, screeningconditionFloat, strNum, sa... | 661dba7ea846859056fd6ee7a310d352ca178e98 | <|skeleton|>
class SamplingAndScreeningFactory:
def __init__(self, intNum, samplingConditionInt, scrreningconditionInt, floatNum, samlingConditionFloat, screeningconditionFloat, strNum, samlingConditionStr, screeningConditionStr, strlen=6):
""":param intNum:产生整数随机数的个数 :param samplingConditionInt: 整数随机数生成范围... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SamplingAndScreeningFactory:
def __init__(self, intNum, samplingConditionInt, scrreningconditionInt, floatNum, samlingConditionFloat, screeningconditionFloat, strNum, samlingConditionStr, screeningConditionStr, strlen=6):
""":param intNum:产生整数随机数的个数 :param samplingConditionInt: 整数随机数生成范围 :param scrren... | the_stack_v2_python_sparse | 林一夫2017012923/平时作业3/SamplingAndScreeningFactory.py | wanghan79/2020_Python | train | 4 | |
e6d8ae0eb196988cfedc077a0f0b1392b50acf7d | [
"is_negative = x < 0\nreversed_num = self.reverse_num(abs(x))\nif -reversed_num < -2 ** 31 or reversed_num > 2 ** 31 - 1:\n return 0\nreturn -reversed_num if is_negative else reversed_num",
"reversed = 0\nwhile x > 0:\n reversed += x % 10\n x //= 10\n reversed *= 10\nreturn reversed // 10"
] | <|body_start_0|>
is_negative = x < 0
reversed_num = self.reverse_num(abs(x))
if -reversed_num < -2 ** 31 or reversed_num > 2 ** 31 - 1:
return 0
return -reversed_num if is_negative else reversed_num
<|end_body_0|>
<|body_start_1|>
reversed = 0
while x > 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverse(self, x):
"""(Solution, int) -> int Reverse the digits of a given integer. If the given integer is negative, then the reversed integer should be negative as well. If the given integer has zeros at the end, then the reversed integer should not have the leading zeroes... | stack_v2_sparse_classes_10k_train_000277 | 2,101 | no_license | [
{
"docstring": "(Solution, int) -> int Reverse the digits of a given integer. If the given integer is negative, then the reversed integer should be negative as well. If the given integer has zeros at the end, then the reversed integer should not have the leading zeroes. If the reversed integer is outside the 32... | 2 | stack_v2_sparse_classes_30k_train_000654 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverse(self, x): (Solution, int) -> int Reverse the digits of a given integer. If the given integer is negative, then the reversed integer should be negative as well. If the... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverse(self, x): (Solution, int) -> int Reverse the digits of a given integer. If the given integer is negative, then the reversed integer should be negative as well. If the... | 6812253b90bdd5a35c6bfba8eac54da9be26d56c | <|skeleton|>
class Solution:
def reverse(self, x):
"""(Solution, int) -> int Reverse the digits of a given integer. If the given integer is negative, then the reversed integer should be negative as well. If the given integer has zeros at the end, then the reversed integer should not have the leading zeroes... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def reverse(self, x):
"""(Solution, int) -> int Reverse the digits of a given integer. If the given integer is negative, then the reversed integer should be negative as well. If the given integer has zeros at the end, then the reversed integer should not have the leading zeroes. If the rever... | the_stack_v2_python_sparse | python2/reverseInt.py | yichuanma95/leetcode-solns | train | 2 | |
c1156d2c7b020d8cdd232c935b449d22ab617acd | [
"domain = self._client.create(domain_name)\nif check:\n self.check_domain_presence(domain)\nreturn domain",
"self._client.update(domain, enabled=False)\nself._client.delete(domain.id)\nif check:\n self.check_domain_presence(domain, present=False)",
"def predicate():\n try:\n self._client.get(dom... | <|body_start_0|>
domain = self._client.create(domain_name)
if check:
self.check_domain_presence(domain)
return domain
<|end_body_0|>
<|body_start_1|>
self._client.update(domain, enabled=False)
self._client.delete(domain.id)
if check:
self.check_do... | Domain steps. | DomainSteps | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DomainSteps:
"""Domain steps."""
def create_domain(self, domain_name, check=True):
"""Step to create domain."""
<|body_0|>
def delete_domain(self, domain, check=True):
"""Step to delete domain."""
<|body_1|>
def check_domain_presence(self, domain, pr... | stack_v2_sparse_classes_10k_train_000278 | 1,679 | no_license | [
{
"docstring": "Step to create domain.",
"name": "create_domain",
"signature": "def create_domain(self, domain_name, check=True)"
},
{
"docstring": "Step to delete domain.",
"name": "delete_domain",
"signature": "def delete_domain(self, domain, check=True)"
},
{
"docstring": "Ver... | 3 | stack_v2_sparse_classes_30k_test_000190 | Implement the Python class `DomainSteps` described below.
Class description:
Domain steps.
Method signatures and docstrings:
- def create_domain(self, domain_name, check=True): Step to create domain.
- def delete_domain(self, domain, check=True): Step to delete domain.
- def check_domain_presence(self, domain, presen... | Implement the Python class `DomainSteps` described below.
Class description:
Domain steps.
Method signatures and docstrings:
- def create_domain(self, domain_name, check=True): Step to create domain.
- def delete_domain(self, domain, check=True): Step to delete domain.
- def check_domain_presence(self, domain, presen... | 380849c3f24d3322caa49f895d0d89cc6c998fa8 | <|skeleton|>
class DomainSteps:
"""Domain steps."""
def create_domain(self, domain_name, check=True):
"""Step to create domain."""
<|body_0|>
def delete_domain(self, domain, check=True):
"""Step to delete domain."""
<|body_1|>
def check_domain_presence(self, domain, pr... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DomainSteps:
"""Domain steps."""
def create_domain(self, domain_name, check=True):
"""Step to create domain."""
domain = self._client.create(domain_name)
if check:
self.check_domain_presence(domain)
return domain
def delete_domain(self, domain, check=True)... | the_stack_v2_python_sparse | stepler/keystone/steps/domains.py | gdyuldin/stepler | train | 0 |
290e8cd268006000cee9af28736b19d9a4ad31e6 | [
"super(LightSource, self).at_object_creation()\nself.db.tutorial_info = 'This object can be turned on off and has a timed script controlling it.'\nself.db.is_active = False\nself.db.burntime = 60 * 3\nself.db.desc = 'A splinter of wood with remnants of resin on it, enough for burning.'\nself.cmdset.add_default(CmdS... | <|body_start_0|>
super(LightSource, self).at_object_creation()
self.db.tutorial_info = 'This object can be turned on off and has a timed script controlling it.'
self.db.is_active = False
self.db.burntime = 60 * 3
self.db.desc = 'A splinter of wood with remnants of resin on it, en... | This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at. | LightSource | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LightSource:
"""This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at."""
def at_object_creation(self):
"""Called when object is first created."""
<|body_0|>
def reset(self... | stack_v2_sparse_classes_10k_train_000279 | 36,948 | permissive | [
{
"docstring": "Called when object is first created.",
"name": "at_object_creation",
"signature": "def at_object_creation(self)"
},
{
"docstring": "Can be called by tutorial world runner, or by the script when the lightsource has burned out.",
"name": "reset",
"signature": "def reset(sel... | 2 | stack_v2_sparse_classes_30k_train_000664 | Implement the Python class `LightSource` described below.
Class description:
This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at.
Method signatures and docstrings:
- def at_object_creation(self): Called when object is... | Implement the Python class `LightSource` described below.
Class description:
This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at.
Method signatures and docstrings:
- def at_object_creation(self): Called when object is... | 4515b6b569f919b18223ff2b241ea70f3e787e1e | <|skeleton|>
class LightSource:
"""This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at."""
def at_object_creation(self):
"""Called when object is first created."""
<|body_0|>
def reset(self... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LightSource:
"""This implements a light source object. When burned out, lightsource will be moved to its home - which by default is the location it was first created at."""
def at_object_creation(self):
"""Called when object is first created."""
super(LightSource, self).at_object_creation... | the_stack_v2_python_sparse | contrib/tutorial_world/objects.py | mergederg/deuterium | train | 1 |
5d92f08a57780bc3b787d5535c42a6ec287cd9e9 | [
"favorite_existence = Favorite.query(Favorite.model_key == fav.model_key, Favorite.model_type == fav.model_type, ancestor=fav.key.parent()).count()\nif favorite_existence == 0:\n fav.put()\n TBANSHelper.update_favorites(fav.user_id, device_key)\n return True\nelse:\n return False",
"to_delete = Favori... | <|body_start_0|>
favorite_existence = Favorite.query(Favorite.model_key == fav.model_key, Favorite.model_type == fav.model_type, ancestor=fav.key.parent()).count()
if favorite_existence == 0:
fav.put()
TBANSHelper.update_favorites(fav.user_id, device_key)
return True
... | MyTBAHelper | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTBAHelper:
def add_favorite(fav: Favorite, device_key: Optional[str]=None) -> bool:
"""returns true if the favorite was successfully added, or false if it already existed"""
<|body_0|>
def remove_favorite(account_key: ndb.Key, model_key: str, model_type: ModelType, device_... | stack_v2_sparse_classes_10k_train_000280 | 4,103 | permissive | [
{
"docstring": "returns true if the favorite was successfully added, or false if it already existed",
"name": "add_favorite",
"signature": "def add_favorite(fav: Favorite, device_key: Optional[str]=None) -> bool"
},
{
"docstring": "returns true if the favorite was deleted, or false if it didn't ... | 4 | stack_v2_sparse_classes_30k_train_001590 | Implement the Python class `MyTBAHelper` described below.
Class description:
Implement the MyTBAHelper class.
Method signatures and docstrings:
- def add_favorite(fav: Favorite, device_key: Optional[str]=None) -> bool: returns true if the favorite was successfully added, or false if it already existed
- def remove_fa... | Implement the Python class `MyTBAHelper` described below.
Class description:
Implement the MyTBAHelper class.
Method signatures and docstrings:
- def add_favorite(fav: Favorite, device_key: Optional[str]=None) -> bool: returns true if the favorite was successfully added, or false if it already existed
- def remove_fa... | 6d42f3cdb2f785d192f2871419e58aaae3445029 | <|skeleton|>
class MyTBAHelper:
def add_favorite(fav: Favorite, device_key: Optional[str]=None) -> bool:
"""returns true if the favorite was successfully added, or false if it already existed"""
<|body_0|>
def remove_favorite(account_key: ndb.Key, model_key: str, model_type: ModelType, device_... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MyTBAHelper:
def add_favorite(fav: Favorite, device_key: Optional[str]=None) -> bool:
"""returns true if the favorite was successfully added, or false if it already existed"""
favorite_existence = Favorite.query(Favorite.model_key == fav.model_key, Favorite.model_type == fav.model_type, ancest... | the_stack_v2_python_sparse | src/backend/common/helpers/mytba_helper.py | the-blue-alliance/the-blue-alliance | train | 344 | |
c2c9ce14160360a314affb15f2cb2182929fdbc9 | [
"form = EngineerAddForm(request.POST or None)\nif form.is_valid():\n instance = form.save(commit=False)\n instance.added_by = self.request.user\n instance.save()\n messages.add_message(request, messages.INFO, 'Success - Engineer added successfully')\n return redirect('engineers:engineer_view')\nmessa... | <|body_start_0|>
form = EngineerAddForm(request.POST or None)
if form.is_valid():
instance = form.save(commit=False)
instance.added_by = self.request.user
instance.save()
messages.add_message(request, messages.INFO, 'Success - Engineer added successfully')... | EngineerView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EngineerView:
def post(self, request):
"""Adds new engineer from engineer_list_view page modal"""
<|body_0|>
def get(self, request):
"""Returns list of all engineers"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
form = EngineerAddForm(request.POST... | stack_v2_sparse_classes_10k_train_000281 | 3,806 | no_license | [
{
"docstring": "Adds new engineer from engineer_list_view page modal",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "Returns list of all engineers",
"name": "get",
"signature": "def get(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001804 | Implement the Python class `EngineerView` described below.
Class description:
Implement the EngineerView class.
Method signatures and docstrings:
- def post(self, request): Adds new engineer from engineer_list_view page modal
- def get(self, request): Returns list of all engineers | Implement the Python class `EngineerView` described below.
Class description:
Implement the EngineerView class.
Method signatures and docstrings:
- def post(self, request): Adds new engineer from engineer_list_view page modal
- def get(self, request): Returns list of all engineers
<|skeleton|>
class EngineerView:
... | bdd7c5ca9f00ce33be31609e5be9c2ccfcd8743a | <|skeleton|>
class EngineerView:
def post(self, request):
"""Adds new engineer from engineer_list_view page modal"""
<|body_0|>
def get(self, request):
"""Returns list of all engineers"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EngineerView:
def post(self, request):
"""Adds new engineer from engineer_list_view page modal"""
form = EngineerAddForm(request.POST or None)
if form.is_valid():
instance = form.save(commit=False)
instance.added_by = self.request.user
instance.save(... | the_stack_v2_python_sparse | engineers/views.py | mrmaheshrajput/htscrm | train | 0 | |
3a8fbc3e8585dfbd4fdaedaf81cbb0933eb9c13a | [
"count = 0\nfor i in range(1, m + 1):\n count += min(int(num / i), n)\nreturn count",
"if k == 1:\n return 1\nelif k == m * n:\n return m * n\nelse:\n left = 1\n right = m * n\n while left < right:\n mid = int(left + right >> 1)\n count_smaller_than_mid = self.count_smaller_than_nu... | <|body_start_0|>
count = 0
for i in range(1, m + 1):
count += min(int(num / i), n)
return count
<|end_body_0|>
<|body_start_1|>
if k == 1:
return 1
elif k == m * n:
return m * n
else:
left = 1
right = m * n
... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def count_smaller_than_num(self, m, n, num):
""":type m: int :type n: int :type num: int :return: count int"""
<|body_0|>
def findKthNumber_wrong(self, m, n, k):
""":type m: int :type n: int :type k: int :rtype: int"""
<|body_1|>
def findKthNum... | stack_v2_sparse_classes_10k_train_000282 | 2,372 | permissive | [
{
"docstring": ":type m: int :type n: int :type num: int :return: count int",
"name": "count_smaller_than_num",
"signature": "def count_smaller_than_num(self, m, n, num)"
},
{
"docstring": ":type m: int :type n: int :type k: int :rtype: int",
"name": "findKthNumber_wrong",
"signature": "... | 3 | stack_v2_sparse_classes_30k_train_000677 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def count_smaller_than_num(self, m, n, num): :type m: int :type n: int :type num: int :return: count int
- def findKthNumber_wrong(self, m, n, k): :type m: int :type n: int :type... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def count_smaller_than_num(self, m, n, num): :type m: int :type n: int :type num: int :return: count int
- def findKthNumber_wrong(self, m, n, k): :type m: int :type n: int :type... | 4a6d46c179d7f52054c417b2aa21708331ac84c5 | <|skeleton|>
class Solution:
def count_smaller_than_num(self, m, n, num):
""":type m: int :type n: int :type num: int :return: count int"""
<|body_0|>
def findKthNumber_wrong(self, m, n, k):
""":type m: int :type n: int :type k: int :rtype: int"""
<|body_1|>
def findKthNum... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def count_smaller_than_num(self, m, n, num):
""":type m: int :type n: int :type num: int :return: count int"""
count = 0
for i in range(1, m + 1):
count += min(int(num / i), n)
return count
def findKthNumber_wrong(self, m, n, k):
""":type m: i... | the_stack_v2_python_sparse | problems/二分/668. 乘法表中第k小的数/kth-smallest-number-in-multiplication-table.py | HannibalXZX/LeetCode | train | 1 | |
1d7d8ba23a35df2fbd9c6d4bcdc9132f7ae659ec | [
"assert num_bases == len(init_weights)\nself._num_bases = int(num_bases)\nself._converge_epsilon = float(converge_epsilon)\nself._init_weights = Mat([[float(i)] for i in init_weights])\nself._data = []\nself._input = []\nself._label = []\nwith open(file_path, 'r') as file_:\n for line in file_.readlines():\n ... | <|body_start_0|>
assert num_bases == len(init_weights)
self._num_bases = int(num_bases)
self._converge_epsilon = float(converge_epsilon)
self._init_weights = Mat([[float(i)] for i in init_weights])
self._data = []
self._input = []
self._label = []
with ope... | Newton's Method Optimization | NewtonMethod | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NewtonMethod:
"""Newton's Method Optimization"""
def __init__(self, file_path, num_bases, converge_epsilon, init_weights):
"""Get polynomail regression result by Newton's Method Optimization Args ---- file_path : str, path to dataset num_bases : int, degree of polynomial converge_eps... | stack_v2_sparse_classes_10k_train_000283 | 3,193 | no_license | [
{
"docstring": "Get polynomail regression result by Newton's Method Optimization Args ---- file_path : str, path to dataset num_bases : int, degree of polynomial converge_epsilon : float, the condition of convergence init_weights : list, shape=[num_bases,] the parameters of polynomial",
"name": "__init__",
... | 4 | stack_v2_sparse_classes_30k_train_002555 | Implement the Python class `NewtonMethod` described below.
Class description:
Newton's Method Optimization
Method signatures and docstrings:
- def __init__(self, file_path, num_bases, converge_epsilon, init_weights): Get polynomail regression result by Newton's Method Optimization Args ---- file_path : str, path to d... | Implement the Python class `NewtonMethod` described below.
Class description:
Newton's Method Optimization
Method signatures and docstrings:
- def __init__(self, file_path, num_bases, converge_epsilon, init_weights): Get polynomail regression result by Newton's Method Optimization Args ---- file_path : str, path to d... | b87c26e215b4ae0358d5cb79e685711691f4ced2 | <|skeleton|>
class NewtonMethod:
"""Newton's Method Optimization"""
def __init__(self, file_path, num_bases, converge_epsilon, init_weights):
"""Get polynomail regression result by Newton's Method Optimization Args ---- file_path : str, path to dataset num_bases : int, degree of polynomial converge_eps... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class NewtonMethod:
"""Newton's Method Optimization"""
def __init__(self, file_path, num_bases, converge_epsilon, init_weights):
"""Get polynomail regression result by Newton's Method Optimization Args ---- file_path : str, path to dataset num_bases : int, degree of polynomial converge_epsilon : float,... | the_stack_v2_python_sparse | HW1/Newton.py | chychen/NCTU_ML_2018 | train | 2 |
2a50d35ad5af8f9be6d5438a05bc04fa903d3869 | [
"n, m = (len(s), len(p))\np = sorted(p)\nres = []\nfor i in range(n):\n if s[i] in p:\n if sorted(s[i:i + m]) == p:\n res.append(i)\nreturn res",
"from collections import defaultdict\nneed = defaultdict(int)\nfor i in p:\n need[i] += 1\nwindow = {}\nn, m = (len(s), len(p))\nleft, right = (... | <|body_start_0|>
n, m = (len(s), len(p))
p = sorted(p)
res = []
for i in range(n):
if s[i] in p:
if sorted(s[i:i + m]) == p:
res.append(i)
return res
<|end_body_0|>
<|body_start_1|>
from collections import defaultdict
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findAnagrams0(self, s, p):
""":type s: str :type p: str :rtype: List[int] 暴力解法，超时"""
<|body_0|>
def findAnagrams(self, s, p):
""":type s: str :type p: str :rtype: List[int] 滑动窗口"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n, m = (l... | stack_v2_sparse_classes_10k_train_000284 | 1,695 | no_license | [
{
"docstring": ":type s: str :type p: str :rtype: List[int] 暴力解法，超时",
"name": "findAnagrams0",
"signature": "def findAnagrams0(self, s, p)"
},
{
"docstring": ":type s: str :type p: str :rtype: List[int] 滑动窗口",
"name": "findAnagrams",
"signature": "def findAnagrams(self, s, p)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005462 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findAnagrams0(self, s, p): :type s: str :type p: str :rtype: List[int] 暴力解法，超时
- def findAnagrams(self, s, p): :type s: str :type p: str :rtype: List[int] 滑动窗口 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findAnagrams0(self, s, p): :type s: str :type p: str :rtype: List[int] 暴力解法，超时
- def findAnagrams(self, s, p): :type s: str :type p: str :rtype: List[int] 滑动窗口
<|skeleton|>
... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def findAnagrams0(self, s, p):
""":type s: str :type p: str :rtype: List[int] 暴力解法，超时"""
<|body_0|>
def findAnagrams(self, s, p):
""":type s: str :type p: str :rtype: List[int] 滑动窗口"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findAnagrams0(self, s, p):
""":type s: str :type p: str :rtype: List[int] 暴力解法，超时"""
n, m = (len(s), len(p))
p = sorted(p)
res = []
for i in range(n):
if s[i] in p:
if sorted(s[i:i + m]) == p:
res.append(i)
... | the_stack_v2_python_sparse | 438.找到字符串中所有字母异位词.py | yangyuxiang1996/leetcode | train | 0 | |
0b16ba59eec2d77e012fb8d975f94cca7a921172 | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('aquan_erj826', 'aquan_erj826')\ncollection = repo.aquan_erj826.firearms\nrepo.dropCollection('gunsRecovered')\nrepo.createCollection('gunsRecovered')\nfor point in collection.find():\n total = int(poi... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('aquan_erj826', 'aquan_erj826')
collection = repo.aquan_erj826.firearms
repo.dropCollection('gunsRecovered')
repo.createCollection('gunsRec... | gunsRecovered | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class gunsRecovered:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything... | stack_v2_sparse_classes_10k_train_000285 | 4,457 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | stack_v2_sparse_classes_30k_train_007077 | Implement the Python class `gunsRecovered` described below.
Class description:
Implement the gunsRecovered class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, e... | Implement the Python class `gunsRecovered` described below.
Class description:
Implement the gunsRecovered class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=None, e... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class gunsRecovered:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class gunsRecovered:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('aquan_erj826', 'aquan_erj826')
... | the_stack_v2_python_sparse | aquan_erj826/gunsRecovered.py | ROODAY/course-2017-fal-proj | train | 3 | |
662627630756f53d82ef36047548231f793618e1 | [
"model_name = model._meta.label_lower\npos = model_name.find('.')\ntable_name = model_name[pos + 1:]\nif table_name in self.route_encuestas:\n return 'encuestas'\nelif table_name in self.route_uxxienc_resul:\n return 'uxxienc_resul'\nreturn None",
"if model._meta.label_lower in self.route_encuestas:\n re... | <|body_start_0|>
model_name = model._meta.label_lower
pos = model_name.find('.')
table_name = model_name[pos + 1:]
if table_name in self.route_encuestas:
return 'encuestas'
elif table_name in self.route_uxxienc_resul:
return 'uxxienc_resul'
return ... | A router to control all database operations on models in the Encuestas applications. | EncuestasRouter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncuestasRouter:
"""A router to control all database operations on models in the Encuestas applications."""
def db_for_read(self, model, **hints):
"""Attempts to read TipoCampania models go to Encuestas db."""
<|body_0|>
def db_for_write(self, model, **hints):
""... | stack_v2_sparse_classes_10k_train_000286 | 1,730 | no_license | [
{
"docstring": "Attempts to read TipoCampania models go to Encuestas db.",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "Attempts to write TipoCampania models go to Encuestas db.",
"name": "db_for_write",
"signature": "def db_for_write(sel... | 4 | stack_v2_sparse_classes_30k_train_006039 | Implement the Python class `EncuestasRouter` described below.
Class description:
A router to control all database operations on models in the Encuestas applications.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read TipoCampania models go to Encuestas db.
- def db_for_write(s... | Implement the Python class `EncuestasRouter` described below.
Class description:
A router to control all database operations on models in the Encuestas applications.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read TipoCampania models go to Encuestas db.
- def db_for_write(s... | ea41397bbee7c204f590d39569a9060f1410a819 | <|skeleton|>
class EncuestasRouter:
"""A router to control all database operations on models in the Encuestas applications."""
def db_for_read(self, model, **hints):
"""Attempts to read TipoCampania models go to Encuestas db."""
<|body_0|>
def db_for_write(self, model, **hints):
""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EncuestasRouter:
"""A router to control all database operations on models in the Encuestas applications."""
def db_for_read(self, model, **hints):
"""Attempts to read TipoCampania models go to Encuestas db."""
model_name = model._meta.label_lower
pos = model_name.find('.')
... | the_stack_v2_python_sparse | django/tfmsurveysapp/router_copy.py | dsm9/TreballFiMaster | train | 0 |
24ee2d99cff2e108f138bd61bd128ca9d8e0c17d | [
"required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'fx'}]\nif project == 'CMIP6':\n required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'Ofx'}]\nreturn required",
"cube = cubes.extract_cube(Constraint(cube_func=lambda c: c.var_name == 'thetao'))\nvolume = cubes.extract... | <|body_start_0|>
required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'fx'}]
if project == 'CMIP6':
required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'Ofx'}]
return required
<|end_body_0|>
<|body_start_1|>
cube = cubes.extract_cube(Co... | Derivation of variable `ohc`. | DerivedVariable | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DerivedVariable:
"""Derivation of variable `ohc`."""
def required(project):
"""Declare the variables needed for derivation."""
<|body_0|>
def calculate(cubes):
"""Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et al., 2015, Clim. Dyn.)... | stack_v2_sparse_classes_10k_train_000287 | 2,789 | permissive | [
{
"docstring": "Declare the variables needed for derivation.",
"name": "required",
"signature": "def required(project)"
},
{
"docstring": "Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et al., 2015, Clim. Dyn.) Arguments --------- cube: iris.cube.Cube input cube. Ret... | 2 | stack_v2_sparse_classes_30k_train_006289 | Implement the Python class `DerivedVariable` described below.
Class description:
Derivation of variable `ohc`.
Method signatures and docstrings:
- def required(project): Declare the variables needed for derivation.
- def calculate(cubes): Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et a... | Implement the Python class `DerivedVariable` described below.
Class description:
Derivation of variable `ohc`.
Method signatures and docstrings:
- def required(project): Declare the variables needed for derivation.
- def calculate(cubes): Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et a... | d5187438fea2928644cb53ecb26c6adb1e4cc947 | <|skeleton|>
class DerivedVariable:
"""Derivation of variable `ohc`."""
def required(project):
"""Declare the variables needed for derivation."""
<|body_0|>
def calculate(cubes):
"""Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et al., 2015, Clim. Dyn.)... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DerivedVariable:
"""Derivation of variable `ohc`."""
def required(project):
"""Declare the variables needed for derivation."""
required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'fx'}]
if project == 'CMIP6':
required = [{'short_name': 'thetao'}, {'... | the_stack_v2_python_sparse | esmvalcore/preprocessor/_derive/ohc.py | ESMValGroup/ESMValCore | train | 41 |
83ed12139ab57f61824f81ee8c14c3edb4b06bdb | [
"stack, rslt = (root and [root], [])\nwhile stack:\n currNode = stack.pop()\n rslt.append(currNode.val)\n stack.extend(reversed(currNode.children or []))\nreturn rslt",
"rslt = []\nif root:\n rslt.append(root.val)\n for child in root.children:\n rslt.extend(self.preorder2(child))\nreturn rsl... | <|body_start_0|>
stack, rslt = (root and [root], [])
while stack:
currNode = stack.pop()
rslt.append(currNode.val)
stack.extend(reversed(currNode.children or []))
return rslt
<|end_body_0|>
<|body_start_1|>
rslt = []
if root:
rslt.... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def preorder(self, root: NaryTreeNode) -> List[int]:
"""Use iteration."""
<|body_0|>
def preorder2(self, root: NaryTreeNode) -> List[int]:
"""Use recursion."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
stack, rslt = (root and [root], []... | stack_v2_sparse_classes_10k_train_000288 | 760 | no_license | [
{
"docstring": "Use iteration.",
"name": "preorder",
"signature": "def preorder(self, root: NaryTreeNode) -> List[int]"
},
{
"docstring": "Use recursion.",
"name": "preorder2",
"signature": "def preorder2(self, root: NaryTreeNode) -> List[int]"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def preorder(self, root: NaryTreeNode) -> List[int]: Use iteration.
- def preorder2(self, root: NaryTreeNode) -> List[int]: Use recursion. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def preorder(self, root: NaryTreeNode) -> List[int]: Use iteration.
- def preorder2(self, root: NaryTreeNode) -> List[int]: Use recursion.
<|skeleton|>
class Solution:
def ... | edb870f83f0c4568cce0cacec04ee70cf6b545bf | <|skeleton|>
class Solution:
def preorder(self, root: NaryTreeNode) -> List[int]:
"""Use iteration."""
<|body_0|>
def preorder2(self, root: NaryTreeNode) -> List[int]:
"""Use recursion."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def preorder(self, root: NaryTreeNode) -> List[int]:
"""Use iteration."""
stack, rslt = (root and [root], [])
while stack:
currNode = stack.pop()
rslt.append(currNode.val)
stack.extend(reversed(currNode.children or []))
return rslt
... | the_stack_v2_python_sparse | 2020/n_ary_tree_preorder_traversal.py | eronekogin/leetcode | train | 0 | |
7db9398fc31ab0e3a8f14db31f3ce0c6f105b9b3 | [
"test_utils.set_competition_round()\ngroup = Group.objects.create(name='Test Group')\ngroup.save()\nself.team = Team.objects.create(group=group, name='A')\nself.user = User.objects.create_user('user', 'user@test.com')\nprofile = self.user.get_profile()\nprofile.team = self.team\nprofile.save()",
"profile = self.u... | <|body_start_0|>
test_utils.set_competition_round()
group = Group.objects.create(name='Test Group')
group.save()
self.team = Team.objects.create(group=group, name='A')
self.user = User.objects.create_user('user', 'user@test.com')
profile = self.user.get_profile()
... | Team Energy Goal Test | TeamEnergyGoalTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeamEnergyGoalTest:
"""Team Energy Goal Test"""
def setUp(self):
"""setup"""
<|body_0|>
def testTeamEnergyGoal(self):
"""Test energy goal"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
test_utils.set_competition_round()
group = Group.ob... | stack_v2_sparse_classes_10k_train_000289 | 3,231 | permissive | [
{
"docstring": "setup",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test energy goal",
"name": "testTeamEnergyGoal",
"signature": "def testTeamEnergyGoal(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005858 | Implement the Python class `TeamEnergyGoalTest` described below.
Class description:
Team Energy Goal Test
Method signatures and docstrings:
- def setUp(self): setup
- def testTeamEnergyGoal(self): Test energy goal | Implement the Python class `TeamEnergyGoalTest` described below.
Class description:
Team Energy Goal Test
Method signatures and docstrings:
- def setUp(self): setup
- def testTeamEnergyGoal(self): Test energy goal
<|skeleton|>
class TeamEnergyGoalTest:
"""Team Energy Goal Test"""
def setUp(self):
""... | 4b7dd685012ec64758affe0ecee3103596d16aa7 | <|skeleton|>
class TeamEnergyGoalTest:
"""Team Energy Goal Test"""
def setUp(self):
"""setup"""
<|body_0|>
def testTeamEnergyGoal(self):
"""Test energy goal"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TeamEnergyGoalTest:
"""Team Energy Goal Test"""
def setUp(self):
"""setup"""
test_utils.set_competition_round()
group = Group.objects.create(name='Test Group')
group.save()
self.team = Team.objects.create(group=group, name='A')
self.user = User.objects.crea... | the_stack_v2_python_sparse | makahiki/apps/widgets/resource_goal/tests.py | justinslee/Wai-Not-Makahiki | train | 1 |
9d8d308307823a5e580f7dccb5e5167e55fdf3d5 | [
"super(Overlay, self).__init__(parent=parent)\nself.setObjectName('overlay')\nself.setFrameStyle(QtWidgets.QFrame.StyledPanel | QtWidgets.QFrame.Plain)\napplication = QtCore.QCoreApplication.instance()\napplication.installEventFilter(self)",
"if visible:\n parent = self.parent()\n if parent.hasFocus():\n ... | <|body_start_0|>
super(Overlay, self).__init__(parent=parent)
self.setObjectName('overlay')
self.setFrameStyle(QtWidgets.QFrame.StyledPanel | QtWidgets.QFrame.Plain)
application = QtCore.QCoreApplication.instance()
application.installEventFilter(self)
<|end_body_0|>
<|body_start... | Display a transparent overlay over another widget. Customise the background colour using stylesheets. The widget has an object name of "overlay". While the overlay is active, the target widget and its children will not receive interaction events from the user (e.g. focus). | Overlay | [
"Apache-2.0",
"MIT",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Overlay:
"""Display a transparent overlay over another widget. Customise the background colour using stylesheets. The widget has an object name of "overlay". While the overlay is active, the target widget and its children will not receive interaction events from the user (e.g. focus)."""
def... | stack_v2_sparse_classes_10k_train_000290 | 8,378 | permissive | [
{
"docstring": "Initialise overlay for target *parent*.",
"name": "__init__",
"signature": "def __init__(self, parent)"
},
{
"docstring": "Set whether *visible* or not.",
"name": "setVisible",
"signature": "def setVisible(self, visible)"
},
{
"docstring": "Filter *event* sent to ... | 3 | stack_v2_sparse_classes_30k_train_003091 | Implement the Python class `Overlay` described below.
Class description:
Display a transparent overlay over another widget. Customise the background colour using stylesheets. The widget has an object name of "overlay". While the overlay is active, the target widget and its children will not receive interaction events ... | Implement the Python class `Overlay` described below.
Class description:
Display a transparent overlay over another widget. Customise the background colour using stylesheets. The widget has an object name of "overlay". While the overlay is active, the target widget and its children will not receive interaction events ... | f55f52787484fcf931c4653e7e241791f052c04f | <|skeleton|>
class Overlay:
"""Display a transparent overlay over another widget. Customise the background colour using stylesheets. The widget has an object name of "overlay". While the overlay is active, the target widget and its children will not receive interaction events from the user (e.g. focus)."""
def... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Overlay:
"""Display a transparent overlay over another widget. Customise the background colour using stylesheets. The widget has an object name of "overlay". While the overlay is active, the target widget and its children will not receive interaction events from the user (e.g. focus)."""
def __init__(sel... | the_stack_v2_python_sparse | source/ftrack_connect/ui/widget/overlay.py | IngenuityEngine/ftrack-connect | train | 0 |
7f05141f5cd167c71d209658dda2fbc516e983b1 | [
"from aha.widget.form import Form\nfrom aha.widget.field import TextField, RichText\nfrom formencode import validators as v\n\nclass AddForm(Form):\n multipart = True\n form_title = u'Add New Category'\n button_title = u'Add'\n submit = u'Save'\n name = TextField(title=u'ID', args={'size': 40}, valid... | <|body_start_0|>
from aha.widget.form import Form
from aha.widget.field import TextField, RichText
from formencode import validators as v
class AddForm(Form):
multipart = True
form_title = u'Add New Category'
button_title = u'Add'
submit =... | The controller for blog category | BlogcategoryController | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlogcategoryController:
"""The controller for blog category"""
def get_form(self, kind, ins=None):
"""A method to return form object based on given kind. kind must be one of 'add' or 'edit'"""
<|body_0|>
def add_new_object(cls, v, ins):
"""A method to obtain new ... | stack_v2_sparse_classes_10k_train_000291 | 2,210 | permissive | [
{
"docstring": "A method to return form object based on given kind. kind must be one of 'add' or 'edit'",
"name": "get_form",
"signature": "def get_form(self, kind, ins=None)"
},
{
"docstring": "A method to obtain new object",
"name": "add_new_object",
"signature": "def add_new_object(cl... | 2 | stack_v2_sparse_classes_30k_train_006639 | Implement the Python class `BlogcategoryController` described below.
Class description:
The controller for blog category
Method signatures and docstrings:
- def get_form(self, kind, ins=None): A method to return form object based on given kind. kind must be one of 'add' or 'edit'
- def add_new_object(cls, v, ins): A ... | Implement the Python class `BlogcategoryController` described below.
Class description:
The controller for blog category
Method signatures and docstrings:
- def get_form(self, kind, ins=None): A method to return form object based on given kind. kind must be one of 'add' or 'edit'
- def add_new_object(cls, v, ins): A ... | e1209f7d44d1c59ff9d373b7d89d414f31a9c28b | <|skeleton|>
class BlogcategoryController:
"""The controller for blog category"""
def get_form(self, kind, ins=None):
"""A method to return form object based on given kind. kind must be one of 'add' or 'edit'"""
<|body_0|>
def add_new_object(cls, v, ins):
"""A method to obtain new ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BlogcategoryController:
"""The controller for blog category"""
def get_form(self, kind, ins=None):
"""A method to return form object based on given kind. kind must be one of 'add' or 'edit'"""
from aha.widget.form import Form
from aha.widget.field import TextField, RichText
... | the_stack_v2_python_sparse | applications/aha.application.coreblog3/application/controller/blogcategory.py | Letractively/aha-gae | train | 0 |
afcb29e6feeb042531c2b3b75b0c46045aefea67 | [
"self.bot: BunkBot = bot\nself.message: Message = None\nself.channels: ChannelService = channels\nself.yt_result: YoutubeResult = YoutubeResult()\nself.yt_link: str = ''",
"try:\n params: List[str] = get_cmd_params(ctx)\n if len(params) == 0:\n await ctx.send('No youtube query given')\n return... | <|body_start_0|>
self.bot: BunkBot = bot
self.message: Message = None
self.channels: ChannelService = channels
self.yt_result: YoutubeResult = YoutubeResult()
self.yt_link: str = ''
<|end_body_0|>
<|body_start_1|>
try:
params: List[str] = get_cmd_params(ctx)
... | Youtube | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Youtube:
def __init__(self, bot: BunkBot, channels: ChannelService):
"""Description ------------ A cog that enables the ability to search and embed youtube videos Parameters ----------- bot: Bunkbot Super class instance of the bot database: DatabaseService Super class instance of the dat... | stack_v2_sparse_classes_10k_train_000292 | 4,093 | permissive | [
{
"docstring": "Description ------------ A cog that enables the ability to search and embed youtube videos Parameters ----------- bot: Bunkbot Super class instance of the bot database: DatabaseService Super class instance of the database service channels: ChannelService Access to the server channels and other c... | 4 | stack_v2_sparse_classes_30k_train_000105 | Implement the Python class `Youtube` described below.
Class description:
Implement the Youtube class.
Method signatures and docstrings:
- def __init__(self, bot: BunkBot, channels: ChannelService): Description ------------ A cog that enables the ability to search and embed youtube videos Parameters ----------- bot: B... | Implement the Python class `Youtube` described below.
Class description:
Implement the Youtube class.
Method signatures and docstrings:
- def __init__(self, bot: BunkBot, channels: ChannelService): Description ------------ A cog that enables the ability to search and embed youtube videos Parameters ----------- bot: B... | f438c6a7d1f2c1797755eb8287bc1499c0cf2a88 | <|skeleton|>
class Youtube:
def __init__(self, bot: BunkBot, channels: ChannelService):
"""Description ------------ A cog that enables the ability to search and embed youtube videos Parameters ----------- bot: Bunkbot Super class instance of the bot database: DatabaseService Super class instance of the dat... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Youtube:
def __init__(self, bot: BunkBot, channels: ChannelService):
"""Description ------------ A cog that enables the ability to search and embed youtube videos Parameters ----------- bot: Bunkbot Super class instance of the bot database: DatabaseService Super class instance of the database service ... | the_stack_v2_python_sparse | src/youtube/youtube_cog.py | fugwenna/bunkbot | train | 2 | |
95e3177b9171172f8e40d2f6ed2f224b9e553734 | [
"if not vals.get('name', False):\n emp_job = self.pool.get('hr.job').read(cr, uid, vals['job_id'], ['name'], context=context)\n emp_level = self.pool.get('hr.employee.level').read(cr, uid, vals['level_id'], ['name'], context=context)\n vals['name'] = emp_job['name'] + ' ' + emp_level['name']\nreturn super(... | <|body_start_0|>
if not vals.get('name', False):
emp_job = self.pool.get('hr.job').read(cr, uid, vals['job_id'], ['name'], context=context)
emp_level = self.pool.get('hr.employee.level').read(cr, uid, vals['level_id'], ['name'], context=context)
vals['name'] = emp_job['name']... | hr_employee_grade | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class hr_employee_grade:
def create(self, cr, uid, vals, context=None):
"""Override fnct: Get grade name"""
<|body_0|>
def write(self, cr, uid, ids, vals, context=None):
"""Override fnct: Get grade name"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n... | stack_v2_sparse_classes_10k_train_000293 | 1,858 | no_license | [
{
"docstring": "Override fnct: Get grade name",
"name": "create",
"signature": "def create(self, cr, uid, vals, context=None)"
},
{
"docstring": "Override fnct: Get grade name",
"name": "write",
"signature": "def write(self, cr, uid, ids, vals, context=None)"
}
] | 2 | null | Implement the Python class `hr_employee_grade` described below.
Class description:
Implement the hr_employee_grade class.
Method signatures and docstrings:
- def create(self, cr, uid, vals, context=None): Override fnct: Get grade name
- def write(self, cr, uid, ids, vals, context=None): Override fnct: Get grade name | Implement the Python class `hr_employee_grade` described below.
Class description:
Implement the hr_employee_grade class.
Method signatures and docstrings:
- def create(self, cr, uid, vals, context=None): Override fnct: Get grade name
- def write(self, cr, uid, ids, vals, context=None): Override fnct: Get grade name
... | 673dd0f2a7c0b69a984342b20f55164a97a00529 | <|skeleton|>
class hr_employee_grade:
def create(self, cr, uid, vals, context=None):
"""Override fnct: Get grade name"""
<|body_0|>
def write(self, cr, uid, ids, vals, context=None):
"""Override fnct: Get grade name"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class hr_employee_grade:
def create(self, cr, uid, vals, context=None):
"""Override fnct: Get grade name"""
if not vals.get('name', False):
emp_job = self.pool.get('hr.job').read(cr, uid, vals['job_id'], ['name'], context=context)
emp_level = self.pool.get('hr.employee.level'... | the_stack_v2_python_sparse | addons/app-trobz-hr/__unported__/trobz_hr_payslip_parameter/model/hr_employee_grade.py | TinPlusIT05/tms | train | 0 | |
91591795c31dc82345f24568d9d0dc053db5f715 | [
"try:\n self.email = email\n self.password = password\nexcept Exception as e:\n config.logger.log('ERROR', str(e))",
"try:\n if self.email is not None and self.password is not None:\n self.email = self.email.lower()\n config.logger.log('INFO', 'Searching for email in database...')\n ... | <|body_start_0|>
try:
self.email = email
self.password = password
except Exception as e:
config.logger.log('ERROR', str(e))
<|end_body_0|>
<|body_start_1|>
try:
if self.email is not None and self.password is not None:
self.email = ... | Validation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Validation:
def __init__(self, email, password):
""":param email: email of the user :param password: password of the user"""
<|body_0|>
def check(self):
""":return: whether valid or not along with a new jwt."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_000294 | 1,885 | no_license | [
{
"docstring": ":param email: email of the user :param password: password of the user",
"name": "__init__",
"signature": "def __init__(self, email, password)"
},
{
"docstring": ":return: whether valid or not along with a new jwt.",
"name": "check",
"signature": "def check(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000092 | Implement the Python class `Validation` described below.
Class description:
Implement the Validation class.
Method signatures and docstrings:
- def __init__(self, email, password): :param email: email of the user :param password: password of the user
- def check(self): :return: whether valid or not along with a new j... | Implement the Python class `Validation` described below.
Class description:
Implement the Validation class.
Method signatures and docstrings:
- def __init__(self, email, password): :param email: email of the user :param password: password of the user
- def check(self): :return: whether valid or not along with a new j... | b7444684784d8320c833bf9f7a5ee15d983e474b | <|skeleton|>
class Validation:
def __init__(self, email, password):
""":param email: email of the user :param password: password of the user"""
<|body_0|>
def check(self):
""":return: whether valid or not along with a new jwt."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Validation:
def __init__(self, email, password):
""":param email: email of the user :param password: password of the user"""
try:
self.email = email
self.password = password
except Exception as e:
config.logger.log('ERROR', str(e))
def check(sel... | the_stack_v2_python_sparse | py_backend/login/login_user.py | shubhamgantayat/MedHub | train | 2 | |
dd699df475f8d724d7d0273e8623484a8f5feafb | [
"if not table:\n return {}\nrecord_values = {}\nfor record in table.records:\n if parser_mediator.abort:\n break\n if record.get_number_of_values() != 2:\n continue\n identification = self._GetRecordValue(record, 0)\n filename = self._GetRecordValue(record, 1)\n if not identification... | <|body_start_0|>
if not table:
return {}
record_values = {}
for record in table.records:
if parser_mediator.abort:
break
if record.get_number_of_values() != 2:
continue
identification = self._GetRecordValue(record, 0... | Parses a Library Table of File History ESE database file. | FileHistoryLibraryTableParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileHistoryLibraryTableParser:
"""Parses a Library Table of File History ESE database file."""
def _GetDictFromStringsTable(self, parser_mediator, table):
"""Build a dictionary of the value in the strings table. Args: parser_mediator (ParserMediator): mediates interactions between pa... | stack_v2_sparse_classes_10k_train_000295 | 3,468 | permissive | [
{
"docstring": "Build a dictionary of the value in the strings table. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfvfs. table (pyesedb.table): strings table. Returns:",
"name": "_GetDictFromStringsTable",
"signature": "def _Get... | 2 | stack_v2_sparse_classes_30k_val_000335 | Implement the Python class `FileHistoryLibraryTableParser` described below.
Class description:
Parses a Library Table of File History ESE database file.
Method signatures and docstrings:
- def _GetDictFromStringsTable(self, parser_mediator, table): Build a dictionary of the value in the strings table. Args: parser_me... | Implement the Python class `FileHistoryLibraryTableParser` described below.
Class description:
Parses a Library Table of File History ESE database file.
Method signatures and docstrings:
- def _GetDictFromStringsTable(self, parser_mediator, table): Build a dictionary of the value in the strings table. Args: parser_me... | 2c74c3586f94d3ddf9ff523fbdc8cb42d950a109 | <|skeleton|>
class FileHistoryLibraryTableParser:
"""Parses a Library Table of File History ESE database file."""
def _GetDictFromStringsTable(self, parser_mediator, table):
"""Build a dictionary of the value in the strings table. Args: parser_mediator (ParserMediator): mediates interactions between pa... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FileHistoryLibraryTableParser:
"""Parses a Library Table of File History ESE database file."""
def _GetDictFromStringsTable(self, parser_mediator, table):
"""Build a dictionary of the value in the strings table. Args: parser_mediator (ParserMediator): mediates interactions between parsers and oth... | the_stack_v2_python_sparse | plaso/parsers/esedb_plugins/filehistory_library.py | jieonk/plaso | train | 0 |
1f3eba17243a90d30720a9954fb985d5094c8ff6 | [
"username = self.cleaned_data['username']\nif User.objects.filter(username=username) or RegisterUser.objects.filter(username=username):\n raise forms.ValidationError('El usuario ya existe en usuarios o registro temporal.')\nreturn username",
"email = self.cleaned_data['email']\nif User.objects.filter(email=ema... | <|body_start_0|>
username = self.cleaned_data['username']
if User.objects.filter(username=username) or RegisterUser.objects.filter(username=username):
raise forms.ValidationError('El usuario ya existe en usuarios o registro temporal.')
return username
<|end_body_0|>
<|body_start_1|>... | Form crear usuario en admin. | UserCreationForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserCreationForm:
"""Form crear usuario en admin."""
def clean_username(self):
"""Comprueba que username no este registrado. También lo prueba en la tabla RegisterUser."""
<|body_0|>
def clean_email(self):
"""Email no puede ser repetido. También lo prueba en la t... | stack_v2_sparse_classes_10k_train_000296 | 3,955 | no_license | [
{
"docstring": "Comprueba que username no este registrado. También lo prueba en la tabla RegisterUser.",
"name": "clean_username",
"signature": "def clean_username(self)"
},
{
"docstring": "Email no puede ser repetido. También lo prueba en la tabla RegisterUser",
"name": "clean_email",
"... | 2 | stack_v2_sparse_classes_30k_train_006313 | Implement the Python class `UserCreationForm` described below.
Class description:
Form crear usuario en admin.
Method signatures and docstrings:
- def clean_username(self): Comprueba que username no este registrado. También lo prueba en la tabla RegisterUser.
- def clean_email(self): Email no puede ser repetido. Tamb... | Implement the Python class `UserCreationForm` described below.
Class description:
Form crear usuario en admin.
Method signatures and docstrings:
- def clean_username(self): Comprueba que username no este registrado. También lo prueba en la tabla RegisterUser.
- def clean_email(self): Email no puede ser repetido. Tamb... | 44b8d2934105ccbf02ff6c20896aa8c2b1746eaa | <|skeleton|>
class UserCreationForm:
"""Form crear usuario en admin."""
def clean_username(self):
"""Comprueba que username no este registrado. También lo prueba en la tabla RegisterUser."""
<|body_0|>
def clean_email(self):
"""Email no puede ser repetido. También lo prueba en la t... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserCreationForm:
"""Form crear usuario en admin."""
def clean_username(self):
"""Comprueba que username no este registrado. También lo prueba en la tabla RegisterUser."""
username = self.cleaned_data['username']
if User.objects.filter(username=username) or RegisterUser.objects.fi... | the_stack_v2_python_sparse | src/apps/accounts/forms.py | snicoper/ofervivienda | train | 1 |
ff92132657b857349b01daa1f5bf7aeb1bb7fb1d | [
"i = 0\nres = []\nwhile i < len(nums):\n if nums[i] != i + 1 and nums[i] != nums[nums[i] - 1]:\n tmp = nums[i]\n nums[i] = nums[tmp - 1]\n nums[tmp - 1] = tmp\n else:\n i += 1\nfor i in range(len(nums)):\n if nums[i] != i + 1:\n res.append(i + 1)\nreturn res",
"myset = ... | <|body_start_0|>
i = 0
res = []
while i < len(nums):
if nums[i] != i + 1 and nums[i] != nums[nums[i] - 1]:
tmp = nums[i]
nums[i] = nums[tmp - 1]
nums[tmp - 1] = tmp
else:
i += 1
for i in range(len(num... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findDisappearedNumbers(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def findDisappearedNumbers2(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
i = 0
... | stack_v2_sparse_classes_10k_train_000297 | 1,144 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "findDisappearedNumbers",
"signature": "def findDisappearedNumbers(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "findDisappearedNumbers2",
"signature": "def findDisappearedNumbers2(self... | 2 | stack_v2_sparse_classes_30k_train_007011 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDisappearedNumbers(self, nums): :type nums: List[int] :rtype: List[int]
- def findDisappearedNumbers2(self, nums): :type nums: List[int] :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDisappearedNumbers(self, nums): :type nums: List[int] :rtype: List[int]
- def findDisappearedNumbers2(self, nums): :type nums: List[int] :rtype: List[int]
<|skeleton|>
c... | ab49373ff3fc306a03a90de02e1801b8cbe520d7 | <|skeleton|>
class Solution:
def findDisappearedNumbers(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def findDisappearedNumbers2(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findDisappearedNumbers(self, nums):
""":type nums: List[int] :rtype: List[int]"""
i = 0
res = []
while i < len(nums):
if nums[i] != i + 1 and nums[i] != nums[nums[i] - 1]:
tmp = nums[i]
nums[i] = nums[tmp - 1]
... | the_stack_v2_python_sparse | explore/array/448.py | yiguid/LeetCodePractise | train | 0 | |
de31272b0541e67565800a46e2d4dc62e1ad32d8 | [
"if id:\n activity = session.restclient.lookup_activity(str(id))\n if '_attributes' not in activity.keys():\n raise NotFoundError(f'Activity not found: {id}')\nself.request_href = activity['_links']['request']['href']\nself.href = activity['_links']['self']['href']\nself.workitem_href = activity['_link... | <|body_start_0|>
if id:
activity = session.restclient.lookup_activity(str(id))
if '_attributes' not in activity.keys():
raise NotFoundError(f'Activity not found: {id}')
self.request_href = activity['_links']['request']['href']
self.href = activity['_links'... | Activity | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Activity:
def __init__(self, session: 'Session', activity=None, id: str=None):
"""Represents an ISIM Activity. Can do lookup using the id attribute. Args: session (Session): Active ISIM Session activity (zeep.WSActivity, optional): Activity object returned from ISIM REST API. Defaults to... | stack_v2_sparse_classes_10k_train_000298 | 2,619 | permissive | [
{
"docstring": "Represents an ISIM Activity. Can do lookup using the id attribute. Args: session (Session): Active ISIM Session activity (zeep.WSActivity, optional): Activity object returned from ISIM REST API. Defaults to None. id (str, optional): Activity ID for lookup. Defaults to None.",
"name": "__init... | 2 | stack_v2_sparse_classes_30k_train_003392 | Implement the Python class `Activity` described below.
Class description:
Implement the Activity class.
Method signatures and docstrings:
- def __init__(self, session: 'Session', activity=None, id: str=None): Represents an ISIM Activity. Can do lookup using the id attribute. Args: session (Session): Active ISIM Sessi... | Implement the Python class `Activity` described below.
Class description:
Implement the Activity class.
Method signatures and docstrings:
- def __init__(self, session: 'Session', activity=None, id: str=None): Represents an ISIM Activity. Can do lookup using the id attribute. Args: session (Session): Active ISIM Sessi... | c86e87ab1ca7e39169a1a8e565de2afc7ff49d52 | <|skeleton|>
class Activity:
def __init__(self, session: 'Session', activity=None, id: str=None):
"""Represents an ISIM Activity. Can do lookup using the id attribute. Args: session (Session): Active ISIM Session activity (zeep.WSActivity, optional): Activity object returned from ISIM REST API. Defaults to... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Activity:
def __init__(self, session: 'Session', activity=None, id: str=None):
"""Represents an ISIM Activity. Can do lookup using the id attribute. Args: session (Session): Active ISIM Session activity (zeep.WSActivity, optional): Activity object returned from ISIM REST API. Defaults to None. id (str... | the_stack_v2_python_sparse | pyisim/entities/activity.py | cazdlt/pyisim | train | 1 | |
fbf9c8c9a7b9afcb48c765b2de0e8d03698f2ac2 | [
"self.context = context\nself.builder = builder\nself.struct_type = struct_type",
"context = self.context\nbuilder = self.builder\nstruct_type = self.struct_type\nst = cgutils.create_struct_proxy(struct_type)(context, builder)\nst.meminfo = mi\nreturn st",
"context = self.context\nbuilder = self.builder\nstruct... | <|body_start_0|>
self.context = context
self.builder = builder
self.struct_type = struct_type
<|end_body_0|>
<|body_start_1|>
context = self.context
builder = self.builder
struct_type = self.struct_type
st = cgutils.create_struct_proxy(struct_type)(context, build... | Internal builder-code utils for structref definitions. | _Utils | [
"LicenseRef-scancode-secret-labs-2011",
"BSD-3-Clause",
"LicenseRef-scancode-python-cwi",
"LicenseRef-scancode-free-unknown",
"GPL-1.0-or-later",
"LicenseRef-scancode-other-copyleft",
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Python-2.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Utils:
"""Internal builder-code utils for structref definitions."""
def __init__(self, context, builder, struct_type):
"""Parameters ---------- context : a numba target context builder : a llvmlite IRBuilder struct_type : numba.core.types.StructRef"""
<|body_0|>
def new... | stack_v2_sparse_classes_10k_train_000299 | 11,491 | permissive | [
{
"docstring": "Parameters ---------- context : a numba target context builder : a llvmlite IRBuilder struct_type : numba.core.types.StructRef",
"name": "__init__",
"signature": "def __init__(self, context, builder, struct_type)"
},
{
"docstring": "Encapsulate the MemInfo from a `StructRefPayloa... | 5 | null | Implement the Python class `_Utils` described below.
Class description:
Internal builder-code utils for structref definitions.
Method signatures and docstrings:
- def __init__(self, context, builder, struct_type): Parameters ---------- context : a numba target context builder : a llvmlite IRBuilder struct_type : numb... | Implement the Python class `_Utils` described below.
Class description:
Internal builder-code utils for structref definitions.
Method signatures and docstrings:
- def __init__(self, context, builder, struct_type): Parameters ---------- context : a numba target context builder : a llvmlite IRBuilder struct_type : numb... | 46059957ad416e68476d1e5f32ccd59f7d5df2bb | <|skeleton|>
class _Utils:
"""Internal builder-code utils for structref definitions."""
def __init__(self, context, builder, struct_type):
"""Parameters ---------- context : a numba target context builder : a llvmlite IRBuilder struct_type : numba.core.types.StructRef"""
<|body_0|>
def new... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class _Utils:
"""Internal builder-code utils for structref definitions."""
def __init__(self, context, builder, struct_type):
"""Parameters ---------- context : a numba target context builder : a llvmlite IRBuilder struct_type : numba.core.types.StructRef"""
self.context = context
self.... | the_stack_v2_python_sparse | numba/experimental/structref.py | numba/numba | train | 8,247 |
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