blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
737b3b2cd61bb1304a3d3baae3e54ebc9600b451 | [
"time_window = config['time_window'] / 365.0\nmag = catalogue.data['magnitude']\nneq = np.shape(mag)[0]\nyear_dec = decimal_year(catalogue.data['year'], catalogue.data['month'], catalogue.data['day'])\nsw_space, _ = config['time_distance_window'].calc(catalogue.data['magnitude'])\nvcl = np.zeros(neq, dtype=int)\nfl... | <|body_start_0|>
time_window = config['time_window'] / 365.0
mag = catalogue.data['magnitude']
neq = np.shape(mag)[0]
year_dec = decimal_year(catalogue.data['year'], catalogue.data['month'], catalogue.data['day'])
sw_space, _ = config['time_distance_window'].calc(catalogue.data['... | This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124 | Afteran | [
"BSD-3-Clause",
"AGPL-3.0-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Afteran:
"""This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124"""
def decluster(self, catalogue, config):
"""catalogue_matrix, window_opt=TDW_GARDN... | stack_v2_sparse_classes_36k_train_034800 | 10,047 | permissive | [
{
"docstring": "catalogue_matrix, window_opt=TDW_GARDNERKNOPOFF, time_window=60.): :param catalogue: a catalogue object :type catalogue: Instance of the openquake.hmtk.seismicity.catalogue.Catalogue() class :keyword window_opt: method used in calculating distance and time windows :type window_opt: string :keywo... | 3 | null | Implement the Python class `Afteran` described below.
Class description:
This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124
Method signatures and docstrings:
- def decluster(self, c... | Implement the Python class `Afteran` described below.
Class description:
This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124
Method signatures and docstrings:
- def decluster(self, c... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class Afteran:
"""This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124"""
def decluster(self, catalogue, config):
"""catalogue_matrix, window_opt=TDW_GARDN... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Afteran:
"""This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124"""
def decluster(self, catalogue, config):
"""catalogue_matrix, window_opt=TDW_GARDNERKNOPOFF, ti... | the_stack_v2_python_sparse | openquake/hmtk/seismicity/declusterer/dec_afteran.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
58761d0776644488d0157582e30e5b119ac1012f | [
"assert isinstance(response, scrapy.http.response.html.HtmlResponse)\nurls = [response.url]\nparts = str(response.url.split('/')[-1])\nparts = parts.split('.', 1)\ncurboard = parts[0]\nposts_per_page = 25\npagination = response.selector.xpath('//div[contains(@class,\"pagination\")]//span[contains(@class, \"page-dot... | <|body_start_0|>
assert isinstance(response, scrapy.http.response.html.HtmlResponse)
urls = [response.url]
parts = str(response.url.split('/')[-1])
parts = parts.split('.', 1)
curboard = parts[0]
posts_per_page = 25
pagination = response.selector.xpath('//div[cont... | scrape reports from angling addicts forum | AnglingAddictsBoatYakReportsSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnglingAddictsBoatYakReportsSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board yields: 'http://www.anglingaddicts.co.uk/forum/north-west-fishing-reports.html', 'http://www.anglingaddicts.co.uk/forum/north-east-sea-... | stack_v2_sparse_classes_36k_train_034801 | 10,325 | no_license | [
{
"docstring": "generate links to pages in a board yields: 'http://www.anglingaddicts.co.uk/forum/north-west-fishing-reports.html', 'http://www.anglingaddicts.co.uk/forum/north-east-sea-fishing-reports.html, ...",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "respo... | 3 | null | Implement the Python class `AnglingAddictsBoatYakReportsSpider` described below.
Class description:
scrape reports from angling addicts forum
Method signatures and docstrings:
- def parse(self, response): generate links to pages in a board yields: 'http://www.anglingaddicts.co.uk/forum/north-west-fishing-reports.html... | Implement the Python class `AnglingAddictsBoatYakReportsSpider` described below.
Class description:
scrape reports from angling addicts forum
Method signatures and docstrings:
- def parse(self, response): generate links to pages in a board yields: 'http://www.anglingaddicts.co.uk/forum/north-west-fishing-reports.html... | 9123aa6baf538b662143b9098d963d55165e8409 | <|skeleton|>
class AnglingAddictsBoatYakReportsSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board yields: 'http://www.anglingaddicts.co.uk/forum/north-west-fishing-reports.html', 'http://www.anglingaddicts.co.uk/forum/north-east-sea-... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AnglingAddictsBoatYakReportsSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board yields: 'http://www.anglingaddicts.co.uk/forum/north-west-fishing-reports.html', 'http://www.anglingaddicts.co.uk/forum/north-east-sea-fishing-repor... | the_stack_v2_python_sparse | imgscrape/spiders/angingaddicts_reports.py | gmonkman/python | train | 0 |
ab1acc31e0da8f7c4c4bc57ec910a867e5683e29 | [
"sqrt_L = int(sqrt(L))\nsqrt_R = int(sqrt(R))\nres = 0\nres_list = []\nfor i in range(sqrt_L, sqrt_R):\n if self.isPalindrome(str(i)) and self.isPalindrome(str(i ** 2)):\n res_list.append(i)\n res += 1\nprint(res_list)\nreturn res",
"if len(string) == 1:\n return True\nif len(string) == 2:\n ... | <|body_start_0|>
sqrt_L = int(sqrt(L))
sqrt_R = int(sqrt(R))
res = 0
res_list = []
for i in range(sqrt_L, sqrt_R):
if self.isPalindrome(str(i)) and self.isPalindrome(str(i ** 2)):
res_list.append(i)
res += 1
print(res_list)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def superpalindromesInRange(self, L, R):
""":type L: str :type R: str :rtype: int"""
<|body_0|>
def isPalindrome(self, string):
"""test if a string is palindrome"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sqrt_L = int(sqrt(L))
... | stack_v2_sparse_classes_36k_train_034802 | 1,622 | no_license | [
{
"docstring": ":type L: str :type R: str :rtype: int",
"name": "superpalindromesInRange",
"signature": "def superpalindromesInRange(self, L, R)"
},
{
"docstring": "test if a string is palindrome",
"name": "isPalindrome",
"signature": "def isPalindrome(self, string)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def superpalindromesInRange(self, L, R): :type L: str :type R: str :rtype: int
- def isPalindrome(self, string): test if a string is palindrome | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def superpalindromesInRange(self, L, R): :type L: str :type R: str :rtype: int
- def isPalindrome(self, string): test if a string is palindrome
<|skeleton|>
class Solution:
... | f96a2273c6831a8035e1adacfa452f73c599ae16 | <|skeleton|>
class Solution:
def superpalindromesInRange(self, L, R):
""":type L: str :type R: str :rtype: int"""
<|body_0|>
def isPalindrome(self, string):
"""test if a string is palindrome"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def superpalindromesInRange(self, L, R):
""":type L: str :type R: str :rtype: int"""
sqrt_L = int(sqrt(L))
sqrt_R = int(sqrt(R))
res = 0
res_list = []
for i in range(sqrt_L, sqrt_R):
if self.isPalindrome(str(i)) and self.isPalindrome(str(i ... | the_stack_v2_python_sparse | Python/SuperPalindromes (2).py | here0009/LeetCode | train | 1 | |
4964700ea5197f22120395e7b21236604fdc4b30 | [
"status = None\nuser = self.context['request'].user\nurl = validated_data.get('url')\ngame_record_file = validated_data.get('game_record_file')\nif game_record_file:\n status = 'file'\nelif url:\n status = 'url'\nif status is None:\n raise serializers.ValidationError('Status must be url or file')\nreturn m... | <|body_start_0|>
status = None
user = self.context['request'].user
url = validated_data.get('url')
game_record_file = validated_data.get('game_record_file')
if game_record_file:
status = 'file'
elif url:
status = 'url'
if status is None:
... | serializers to handle file object and help with extracting data | GomokuRecordFileSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GomokuRecordFileSerializer:
"""serializers to handle file object and help with extracting data"""
def create(self, validated_data):
"""Creating GameRecordFile object"""
<|body_0|>
def validate_game_record_file(self, attrs):
"""File validation"""
<|body_1|... | stack_v2_sparse_classes_36k_train_034803 | 1,763 | no_license | [
{
"docstring": "Creating GameRecordFile object",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "File validation",
"name": "validate_game_record_file",
"signature": "def validate_game_record_file(self, attrs)"
},
{
"docstring": "File validatio... | 3 | stack_v2_sparse_classes_30k_train_004847 | Implement the Python class `GomokuRecordFileSerializer` described below.
Class description:
serializers to handle file object and help with extracting data
Method signatures and docstrings:
- def create(self, validated_data): Creating GameRecordFile object
- def validate_game_record_file(self, attrs): File validation... | Implement the Python class `GomokuRecordFileSerializer` described below.
Class description:
serializers to handle file object and help with extracting data
Method signatures and docstrings:
- def create(self, validated_data): Creating GameRecordFile object
- def validate_game_record_file(self, attrs): File validation... | 4ce3e6813e16ecaf0a118e0cc5548a091aa97646 | <|skeleton|>
class GomokuRecordFileSerializer:
"""serializers to handle file object and help with extracting data"""
def create(self, validated_data):
"""Creating GameRecordFile object"""
<|body_0|>
def validate_game_record_file(self, attrs):
"""File validation"""
<|body_1|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GomokuRecordFileSerializer:
"""serializers to handle file object and help with extracting data"""
def create(self, validated_data):
"""Creating GameRecordFile object"""
status = None
user = self.context['request'].user
url = validated_data.get('url')
game_record_fi... | the_stack_v2_python_sparse | src/gomoku_file_app/api/serializers.py | adam-harmasz/gomoku_v_0_2 | train | 0 |
3f0a5a07488547fc037a6239c3ca1327b7fb1eac | [
"urllib.request.urlopen = MagicMock(return_value=Response(5))\nsensor = Sensor(ControllerTests.DUMMY_ADDR, ControllerTests.DUMMY_PORT)\ncurrent_height = sensor.measure()\nself.assertEqual(current_height, 5)",
"urllib.request.urlopen = MagicMock(return_value=Response(5))\npump = Pump(ControllerTests.DUMMY_ADDR, Co... | <|body_start_0|>
urllib.request.urlopen = MagicMock(return_value=Response(5))
sensor = Sensor(ControllerTests.DUMMY_ADDR, ControllerTests.DUMMY_PORT)
current_height = sensor.measure()
self.assertEqual(current_height, 5)
<|end_body_0|>
<|body_start_1|>
urllib.request.urlopen = Ma... | Unit tests for the Controller class | ControllerTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ControllerTests:
"""Unit tests for the Controller class"""
def test_sensor(self):
"""Test Sensor Measure."""
<|body_0|>
def test_pump_get_state(self):
"""Test Pump Get State."""
<|body_1|>
def test_pump_set_state_true(self):
"""Test Pump Set ... | stack_v2_sparse_classes_36k_train_034804 | 4,508 | no_license | [
{
"docstring": "Test Sensor Measure.",
"name": "test_sensor",
"signature": "def test_sensor(self)"
},
{
"docstring": "Test Pump Get State.",
"name": "test_pump_get_state",
"signature": "def test_pump_get_state(self)"
},
{
"docstring": "Test Pump Set State True.",
"name": "tes... | 5 | null | Implement the Python class `ControllerTests` described below.
Class description:
Unit tests for the Controller class
Method signatures and docstrings:
- def test_sensor(self): Test Sensor Measure.
- def test_pump_get_state(self): Test Pump Get State.
- def test_pump_set_state_true(self): Test Pump Set State True.
- d... | Implement the Python class `ControllerTests` described below.
Class description:
Unit tests for the Controller class
Method signatures and docstrings:
- def test_sensor(self): Test Sensor Measure.
- def test_pump_get_state(self): Test Pump Get State.
- def test_pump_set_state_true(self): Test Pump Set State True.
- d... | b1fea0309b3495b3e1dc167d7029bc9e4b6f00f1 | <|skeleton|>
class ControllerTests:
"""Unit tests for the Controller class"""
def test_sensor(self):
"""Test Sensor Measure."""
<|body_0|>
def test_pump_get_state(self):
"""Test Pump Get State."""
<|body_1|>
def test_pump_set_state_true(self):
"""Test Pump Set ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ControllerTests:
"""Unit tests for the Controller class"""
def test_sensor(self):
"""Test Sensor Measure."""
urllib.request.urlopen = MagicMock(return_value=Response(5))
sensor = Sensor(ControllerTests.DUMMY_ADDR, ControllerTests.DUMMY_PORT)
current_height = sensor.measure... | the_stack_v2_python_sparse | students/mayc4t/lesson06_part2/waterregulation/test.py | UWPCE-PythonCert-ClassRepos/SP_Online_Course2_2018 | train | 4 |
5518c0d98b18581231e36c16df9409b0e6597fd5 | [
"local_dim = self.state_manifold.local_dim_from_point(belief.mean)\nassert belief.cov.shape == dynamics_cov.shape == (local_dim, local_dim)\nA: jnp.ndarray = jax.jacfwd(lambda tangent: self.state_manifold.boxminus(self.dynamics_model(self.state_manifold.boxplus(belief.mean, tangent), control_input), belief.mean))(j... | <|body_start_0|>
local_dim = self.state_manifold.local_dim_from_point(belief.mean)
assert belief.cov.shape == dynamics_cov.shape == (local_dim, local_dim)
A: jnp.ndarray = jax.jacfwd(lambda tangent: self.state_manifold.boxminus(self.dynamics_model(self.state_manifold.boxplus(belief.mean, tangent... | Extended Kalman filter definition. | EkfDefinition | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EkfDefinition:
"""Extended Kalman filter definition."""
def predict(self, belief: MultivariateGaussian[StateType], control_input: ControlInputType, dynamics_cov: Array) -> MultivariateGaussian[StateType]:
"""EKF prediction step."""
<|body_0|>
def correct(self, belief: Mu... | stack_v2_sparse_classes_36k_train_034805 | 5,265 | no_license | [
{
"docstring": "EKF prediction step.",
"name": "predict",
"signature": "def predict(self, belief: MultivariateGaussian[StateType], control_input: ControlInputType, dynamics_cov: Array) -> MultivariateGaussian[StateType]"
},
{
"docstring": "EKF correction step.",
"name": "correct",
"signa... | 2 | null | Implement the Python class `EkfDefinition` described below.
Class description:
Extended Kalman filter definition.
Method signatures and docstrings:
- def predict(self, belief: MultivariateGaussian[StateType], control_input: ControlInputType, dynamics_cov: Array) -> MultivariateGaussian[StateType]: EKF prediction step... | Implement the Python class `EkfDefinition` described below.
Class description:
Extended Kalman filter definition.
Method signatures and docstrings:
- def predict(self, belief: MultivariateGaussian[StateType], control_input: ControlInputType, dynamics_cov: Array) -> MultivariateGaussian[StateType]: EKF prediction step... | 639f8a603aba0b9a357422aa2a0704a023fe564d | <|skeleton|>
class EkfDefinition:
"""Extended Kalman filter definition."""
def predict(self, belief: MultivariateGaussian[StateType], control_input: ControlInputType, dynamics_cov: Array) -> MultivariateGaussian[StateType]:
"""EKF prediction step."""
<|body_0|>
def correct(self, belief: Mu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EkfDefinition:
"""Extended Kalman filter definition."""
def predict(self, belief: MultivariateGaussian[StateType], control_input: ControlInputType, dynamics_cov: Array) -> MultivariateGaussian[StateType]:
"""EKF prediction step."""
local_dim = self.state_manifold.local_dim_from_point(beli... | the_stack_v2_python_sparse | lib/manifold_ekf.py | MegaYEye/dfgo | train | 0 |
c1dd6701cd302b62912a156a2b688db4327fe21e | [
"super(Settings, self).__init__(parent)\nself.parent = parent\nself.list_edit = []\nself.populate(conf)",
"mainLayout = QtGui.QGridLayout(self)\ni = 0\nfor key in conf.keys():\n mainLayout.addWidget(QtGui.QLabel(key), i, 0)\n self.list_edit.append([key, QtGui.QLineEdit()])\n mainLayout.addWidget(self.lis... | <|body_start_0|>
super(Settings, self).__init__(parent)
self.parent = parent
self.list_edit = []
self.populate(conf)
<|end_body_0|>
<|body_start_1|>
mainLayout = QtGui.QGridLayout(self)
i = 0
for key in conf.keys():
mainLayout.addWidget(QtGui.QLabel(k... | display playing list | Settings | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Settings:
"""display playing list"""
def __init__(self, conf, parent=None):
"""initialisation"""
<|body_0|>
def populate(self, conf):
"""create layout"""
<|body_1|>
def saveClicked(self):
"""save the config"""
<|body_2|>
<|end_skelet... | stack_v2_sparse_classes_36k_train_034806 | 1,467 | no_license | [
{
"docstring": "initialisation",
"name": "__init__",
"signature": "def __init__(self, conf, parent=None)"
},
{
"docstring": "create layout",
"name": "populate",
"signature": "def populate(self, conf)"
},
{
"docstring": "save the config",
"name": "saveClicked",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_010101 | Implement the Python class `Settings` described below.
Class description:
display playing list
Method signatures and docstrings:
- def __init__(self, conf, parent=None): initialisation
- def populate(self, conf): create layout
- def saveClicked(self): save the config | Implement the Python class `Settings` described below.
Class description:
display playing list
Method signatures and docstrings:
- def __init__(self, conf, parent=None): initialisation
- def populate(self, conf): create layout
- def saveClicked(self): save the config
<|skeleton|>
class Settings:
"""display playi... | a24b3e4e8acbd4da9ba4c83bf96c0b2d2a2cca9c | <|skeleton|>
class Settings:
"""display playing list"""
def __init__(self, conf, parent=None):
"""initialisation"""
<|body_0|>
def populate(self, conf):
"""create layout"""
<|body_1|>
def saveClicked(self):
"""save the config"""
<|body_2|>
<|end_skelet... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Settings:
"""display playing list"""
def __init__(self, conf, parent=None):
"""initialisation"""
super(Settings, self).__init__(parent)
self.parent = parent
self.list_edit = []
self.populate(conf)
def populate(self, conf):
"""create layout"""
m... | the_stack_v2_python_sparse | gui/menusettings.py | sensini42/flvdown | train | 0 |
6851f6320b96f8defc30e40b99b7cb387ac6c84f | [
"self.places = {}\nself.transitions = {}\nself.successful_firings = []\nself.a = {}",
"pn_copy = PetriNetModel()\nfor place in petri_net_model.places.values():\n pn_copy.add_place(place.tokens, place.place_id, place.label)\nfor t in petri_net_model.transitions.values():\n input_place_ids = [arc.place.place_... | <|body_start_0|>
self.places = {}
self.transitions = {}
self.successful_firings = []
self.a = {}
<|end_body_0|>
<|body_start_1|>
pn_copy = PetriNetModel()
for place in petri_net_model.places.values():
pn_copy.add_place(place.tokens, place.place_id, place.labe... | PetriNetModel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PetriNetModel:
def __init__(self):
"""Initialize an empty Petri net."""
<|body_0|>
def make_copy_of(petri_net_model):
"""Makes a deep copy of a PetriNetModel instance. Args: petri_net_model: instance of PetriNetModel to be copied"""
<|body_1|>
def add_pl... | stack_v2_sparse_classes_36k_train_034807 | 27,136 | no_license | [
{
"docstring": "Initialize an empty Petri net.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Makes a deep copy of a PetriNetModel instance. Args: petri_net_model: instance of PetriNetModel to be copied",
"name": "make_copy_of",
"signature": "def make_copy_of(... | 5 | stack_v2_sparse_classes_30k_train_016559 | Implement the Python class `PetriNetModel` described below.
Class description:
Implement the PetriNetModel class.
Method signatures and docstrings:
- def __init__(self): Initialize an empty Petri net.
- def make_copy_of(petri_net_model): Makes a deep copy of a PetriNetModel instance. Args: petri_net_model: instance o... | Implement the Python class `PetriNetModel` described below.
Class description:
Implement the PetriNetModel class.
Method signatures and docstrings:
- def __init__(self): Initialize an empty Petri net.
- def make_copy_of(petri_net_model): Makes a deep copy of a PetriNetModel instance. Args: petri_net_model: instance o... | 8e9a3a8151069757475808c48511c9d7486ea334 | <|skeleton|>
class PetriNetModel:
def __init__(self):
"""Initialize an empty Petri net."""
<|body_0|>
def make_copy_of(petri_net_model):
"""Makes a deep copy of a PetriNetModel instance. Args: petri_net_model: instance of PetriNetModel to be copied"""
<|body_1|>
def add_pl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PetriNetModel:
def __init__(self):
"""Initialize an empty Petri net."""
self.places = {}
self.transitions = {}
self.successful_firings = []
self.a = {}
def make_copy_of(petri_net_model):
"""Makes a deep copy of a PetriNetModel instance. Args: petri_net_mode... | the_stack_v2_python_sparse | Stochasticity-Net/Stochastic_PN_Architecture_v2.py | PN-Alzheimers-Parkinsons/PN_Alzheimers_Parkinsons | train | 0 | |
c4c14ce7f685d3a09da2ae08d320c65c9aeb1d6a | [
"Frame.__init__(self, master)\nself.grid()\nself.create_widgets()",
"Label(self, text='Welcome to Order Up!').grid(row=0, column=0, columnspan=2, sticky=W)\nLabel(self, text='Please choose what you would like to eat.').grid(row=1, column=0, columnspan=2, sticky=W)\nLabel(self, text='******************************... | <|body_start_0|>
Frame.__init__(self, master)
self.grid()
self.create_widgets()
<|end_body_0|>
<|body_start_1|>
Label(self, text='Welcome to Order Up!').grid(row=0, column=0, columnspan=2, sticky=W)
Label(self, text='Please choose what you would like to eat.').grid(row=1, column... | GUI application that creates a story based on user input. | Application | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Application:
"""GUI application that creates a story based on user input."""
def __init__(self, master):
"""Initialize Frame"""
<|body_0|>
def create_widgets(self):
"""Create widgets to create the menu"""
<|body_1|>
def food_eaten(self):
"""f... | stack_v2_sparse_classes_36k_train_034808 | 4,026 | no_license | [
{
"docstring": "Initialize Frame",
"name": "__init__",
"signature": "def __init__(self, master)"
},
{
"docstring": "Create widgets to create the menu",
"name": "create_widgets",
"signature": "def create_widgets(self)"
},
{
"docstring": "fill text box list of foods eaten and total... | 3 | stack_v2_sparse_classes_30k_train_015861 | Implement the Python class `Application` described below.
Class description:
GUI application that creates a story based on user input.
Method signatures and docstrings:
- def __init__(self, master): Initialize Frame
- def create_widgets(self): Create widgets to create the menu
- def food_eaten(self): fill text box li... | Implement the Python class `Application` described below.
Class description:
GUI application that creates a story based on user input.
Method signatures and docstrings:
- def __init__(self, master): Initialize Frame
- def create_widgets(self): Create widgets to create the menu
- def food_eaten(self): fill text box li... | 272683aa0bfb68889e7dc272797549217f318dda | <|skeleton|>
class Application:
"""GUI application that creates a story based on user input."""
def __init__(self, master):
"""Initialize Frame"""
<|body_0|>
def create_widgets(self):
"""Create widgets to create the menu"""
<|body_1|>
def food_eaten(self):
"""f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Application:
"""GUI application that creates a story based on user input."""
def __init__(self, master):
"""Initialize Frame"""
Frame.__init__(self, master)
self.grid()
self.create_widgets()
def create_widgets(self):
"""Create widgets to create the menu"""
... | the_stack_v2_python_sparse | CSC_217/CSC_217_470_Assignment2/CIS_217_470_ASSIGNMENT2b_MENU.py | denisetra/SCHOOL | train | 0 |
dce076d89149465719f21ef7bd06283c8c0abeb3 | [
"user_id = get_jwt_identity()\nuser = find_user(user_id)\ntarget_user = find_user(following_user_id)\nif not target_user:\n return ({'msg': f'User {following_user_id} is not found'}, 404)\nif not add_following(user, target_user):\n return ({'msg': f'Already following user {following_user_id}'}, 409)",
"user... | <|body_start_0|>
user_id = get_jwt_identity()
user = find_user(user_id)
target_user = find_user(following_user_id)
if not target_user:
return ({'msg': f'User {following_user_id} is not found'}, 404)
if not add_following(user, target_user):
return ({'msg': ... | Following | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Following:
def post(self, following_user_id):
"""Follow a user"""
<|body_0|>
def delete(self, following_user_id):
"""Unfollow a user"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user_id = get_jwt_identity()
user = find_user(user_id)
... | stack_v2_sparse_classes_36k_train_034809 | 1,142 | permissive | [
{
"docstring": "Follow a user",
"name": "post",
"signature": "def post(self, following_user_id)"
},
{
"docstring": "Unfollow a user",
"name": "delete",
"signature": "def delete(self, following_user_id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019846 | Implement the Python class `Following` described below.
Class description:
Implement the Following class.
Method signatures and docstrings:
- def post(self, following_user_id): Follow a user
- def delete(self, following_user_id): Unfollow a user | Implement the Python class `Following` described below.
Class description:
Implement the Following class.
Method signatures and docstrings:
- def post(self, following_user_id): Follow a user
- def delete(self, following_user_id): Unfollow a user
<|skeleton|>
class Following:
def post(self, following_user_id):
... | 196635e7d0019def1d5ee3b38f82e270085201a0 | <|skeleton|>
class Following:
def post(self, following_user_id):
"""Follow a user"""
<|body_0|>
def delete(self, following_user_id):
"""Unfollow a user"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Following:
def post(self, following_user_id):
"""Follow a user"""
user_id = get_jwt_identity()
user = find_user(user_id)
target_user = find_user(following_user_id)
if not target_user:
return ({'msg': f'User {following_user_id} is not found'}, 404)
if... | the_stack_v2_python_sparse | mini_gplus/resources/followings.py | baronrustamov/pill-city | train | 0 | |
685db71c0fef3f4318c1bd110c1f328200b023c5 | [
"super(FunctionComponent, self).__init__(opts)\nself.options = opts.get('fn_hibp', {})\nself.PROXIES = {}\nPROXY_HTTP = self.get_config_option('hibp_proxy_http', True)\nPROXY_HTTPS = self.get_config_option('hibp_proxy_https', True)\nif PROXY_HTTP is not None:\n self.PROXIES['http'] = PROXY_HTTP\nif PROXY_HTTPS i... | <|body_start_0|>
super(FunctionComponent, self).__init__(opts)
self.options = opts.get('fn_hibp', {})
self.PROXIES = {}
PROXY_HTTP = self.get_config_option('hibp_proxy_http', True)
PROXY_HTTPS = self.get_config_option('hibp_proxy_https', True)
if PROXY_HTTP is not None:
... | Component that implements Resilient function 'have_i_been_pwned_get_pastes | FunctionComponent | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'have_i_been_pwned_get_pastes"""
def __init__(self, opts):
"""constructor provides access to the configuration options"""
<|body_0|>
def get_config_option(self, option_name, optional=False):
"""Gi... | stack_v2_sparse_classes_36k_train_034810 | 3,804 | permissive | [
{
"docstring": "constructor provides access to the configuration options",
"name": "__init__",
"signature": "def __init__(self, opts)"
},
{
"docstring": "Given option_name, checks if it is in appconfig. Raises ValueError if a mandatory option is missing",
"name": "get_config_option",
"si... | 3 | stack_v2_sparse_classes_30k_train_009121 | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'have_i_been_pwned_get_pastes
Method signatures and docstrings:
- def __init__(self, opts): constructor provides access to the configuration options
- def get_config_option(self, option_name... | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'have_i_been_pwned_get_pastes
Method signatures and docstrings:
- def __init__(self, opts): constructor provides access to the configuration options
- def get_config_option(self, option_name... | 2e3c4b6102555517bad22bf87fa4a06341714166 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'have_i_been_pwned_get_pastes"""
def __init__(self, opts):
"""constructor provides access to the configuration options"""
<|body_0|>
def get_config_option(self, option_name, optional=False):
"""Gi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FunctionComponent:
"""Component that implements Resilient function 'have_i_been_pwned_get_pastes"""
def __init__(self, opts):
"""constructor provides access to the configuration options"""
super(FunctionComponent, self).__init__(opts)
self.options = opts.get('fn_hibp', {})
... | the_stack_v2_python_sparse | fn_hibp/fn_hibp/components/have_i_been_pwned_get_pastes.py | jjfallete/resilient-community-apps | train | 1 |
0bb7af8750ad65c304c29f9968d05b5df70aac91 | [
"super().__init__(num_workers, resources)\nself.index_list = ResourceManager.get_index_list(self.num_workers, self.total_num_rsets, resources.zero_resource_workers)\nself.rsets = np.zeros(self.total_num_rsets, dtype=ResourceManager.man_rset_dtype)\nself.rsets['assigned'] = 0\nfor field in self.all_rsets.dtype.names... | <|body_start_0|>
super().__init__(num_workers, resources)
self.index_list = ResourceManager.get_index_list(self.num_workers, self.total_num_rsets, resources.zero_resource_workers)
self.rsets = np.zeros(self.total_num_rsets, dtype=ResourceManager.man_rset_dtype)
self.rsets['assigned'] = 0... | Provides methods for managing the assignment of resource sets to workers. | ResourceManager | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceManager:
"""Provides methods for managing the assignment of resource sets to workers."""
def __init__(self, num_workers: int, resources: 'GlobalResources') -> None:
"""Initializes a new ResourceManager instance Instantiates the numpy structured array that holds information fo... | stack_v2_sparse_classes_36k_train_034811 | 13,935 | permissive | [
{
"docstring": "Initializes a new ResourceManager instance Instantiates the numpy structured array that holds information for each resource set. Parameters ---------- num_workers: int The number of workers resources: Resources A Resources object containing global nodelist and intranode information",
"name":... | 4 | null | Implement the Python class `ResourceManager` described below.
Class description:
Provides methods for managing the assignment of resource sets to workers.
Method signatures and docstrings:
- def __init__(self, num_workers: int, resources: 'GlobalResources') -> None: Initializes a new ResourceManager instance Instanti... | Implement the Python class `ResourceManager` described below.
Class description:
Provides methods for managing the assignment of resource sets to workers.
Method signatures and docstrings:
- def __init__(self, num_workers: int, resources: 'GlobalResources') -> None: Initializes a new ResourceManager instance Instanti... | 0ffcc5f88f693ebf60ba125a7cae6a44d2c98c6f | <|skeleton|>
class ResourceManager:
"""Provides methods for managing the assignment of resource sets to workers."""
def __init__(self, num_workers: int, resources: 'GlobalResources') -> None:
"""Initializes a new ResourceManager instance Instantiates the numpy structured array that holds information fo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResourceManager:
"""Provides methods for managing the assignment of resource sets to workers."""
def __init__(self, num_workers: int, resources: 'GlobalResources') -> None:
"""Initializes a new ResourceManager instance Instantiates the numpy structured array that holds information for each resour... | the_stack_v2_python_sparse | libensemble/resources/worker_resources.py | Libensemble/libensemble | train | 69 |
f4f242a022cb30a2e2b16382812157d03c5b0e68 | [
"self.driver = driver\nself.comp_name = comp_name\nself.elements = self.get_components()",
"try:\n self.get_components()\n return False\nexcept:\n return True"
] | <|body_start_0|>
self.driver = driver
self.comp_name = comp_name
self.elements = self.get_components()
<|end_body_0|>
<|body_start_1|>
try:
self.get_components()
return False
except:
return True
<|end_body_1|>
| 手机端单选框控件 | RadioPhonePage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RadioPhonePage:
"""手机端单选框控件"""
def __init__(self, driver, comp_name):
"""类初始化执行"""
<|body_0|>
def hide_test(self):
"""单选按钮条件隐藏"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.driver = driver
self.comp_name = comp_name
self.e... | stack_v2_sparse_classes_36k_train_034812 | 1,818 | no_license | [
{
"docstring": "类初始化执行",
"name": "__init__",
"signature": "def __init__(self, driver, comp_name)"
},
{
"docstring": "单选按钮条件隐藏",
"name": "hide_test",
"signature": "def hide_test(self)"
}
] | 2 | null | Implement the Python class `RadioPhonePage` described below.
Class description:
手机端单选框控件
Method signatures and docstrings:
- def __init__(self, driver, comp_name): 类初始化执行
- def hide_test(self): 单选按钮条件隐藏 | Implement the Python class `RadioPhonePage` described below.
Class description:
手机端单选框控件
Method signatures and docstrings:
- def __init__(self, driver, comp_name): 类初始化执行
- def hide_test(self): 单选按钮条件隐藏
<|skeleton|>
class RadioPhonePage:
"""手机端单选框控件"""
def __init__(self, driver, comp_name):
"""类初始化执... | 78768989a79a14013b983024cf6e4838d51ed595 | <|skeleton|>
class RadioPhonePage:
"""手机端单选框控件"""
def __init__(self, driver, comp_name):
"""类初始化执行"""
<|body_0|>
def hide_test(self):
"""单选按钮条件隐藏"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RadioPhonePage:
"""手机端单选框控件"""
def __init__(self, driver, comp_name):
"""类初始化执行"""
self.driver = driver
self.comp_name = comp_name
self.elements = self.get_components()
def hide_test(self):
"""单选按钮条件隐藏"""
try:
self.get_components()
... | the_stack_v2_python_sparse | test_case/page_obj/form/radio_page.py | pylk/pythonSelenium | train | 0 |
4ded124c159fc0565039ea9e4934a5cf46e782c4 | [
"m = len(obstacleGrid)\nif m == 0:\n return 0\nn = len(obstacleGrid[0])\nself.cnt = 0\n\ndef help(obstacleGrid, x, y, m, n):\n if obstacleGrid[x][y]:\n return\n if obstacleGrid[x][y] == 0 and x == m - 1 and (y == n - 1):\n self.cnt += 1\n if x < m and y < n:\n if y + 1 < n and obsta... | <|body_start_0|>
m = len(obstacleGrid)
if m == 0:
return 0
n = len(obstacleGrid[0])
self.cnt = 0
def help(obstacleGrid, x, y, m, n):
if obstacleGrid[x][y]:
return
if obstacleGrid[x][y] == 0 and x == m - 1 and (y == n - 1):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def uniquePathsWithObstacles1(self, obstacleGrid):
""":type obstacleGrid: List[List[int]] :rtype: int"""
<|body_0|>
def uniquePathsWithObstacles2(self, obstacleGrid):
""":type obstacleGrid: List[List[int]] :rtype: int"""
<|body_1|>
def uniquePa... | stack_v2_sparse_classes_36k_train_034813 | 2,216 | no_license | [
{
"docstring": ":type obstacleGrid: List[List[int]] :rtype: int",
"name": "uniquePathsWithObstacles1",
"signature": "def uniquePathsWithObstacles1(self, obstacleGrid)"
},
{
"docstring": ":type obstacleGrid: List[List[int]] :rtype: int",
"name": "uniquePathsWithObstacles2",
"signature": "... | 3 | stack_v2_sparse_classes_30k_train_004532 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def uniquePathsWithObstacles1(self, obstacleGrid): :type obstacleGrid: List[List[int]] :rtype: int
- def uniquePathsWithObstacles2(self, obstacleGrid): :type obstacleGrid: List[L... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def uniquePathsWithObstacles1(self, obstacleGrid): :type obstacleGrid: List[List[int]] :rtype: int
- def uniquePathsWithObstacles2(self, obstacleGrid): :type obstacleGrid: List[L... | e5b018493bbd12edcdcd0434f35d9c358106d391 | <|skeleton|>
class Solution:
def uniquePathsWithObstacles1(self, obstacleGrid):
""":type obstacleGrid: List[List[int]] :rtype: int"""
<|body_0|>
def uniquePathsWithObstacles2(self, obstacleGrid):
""":type obstacleGrid: List[List[int]] :rtype: int"""
<|body_1|>
def uniquePa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def uniquePathsWithObstacles1(self, obstacleGrid):
""":type obstacleGrid: List[List[int]] :rtype: int"""
m = len(obstacleGrid)
if m == 0:
return 0
n = len(obstacleGrid[0])
self.cnt = 0
def help(obstacleGrid, x, y, m, n):
if obs... | the_stack_v2_python_sparse | py/leetcode/63.py | wfeng1991/learnpy | train | 0 | |
a4b67c39b2e2d375b923ec7857b069de0f2d7cd0 | [
"new_urls = set()\nlinks = soup.find_all('a', href=re.compile('/view/\\\\d+\\\\.htm'))\nfor link in links:\n new_url = link['href']\n new_full_url = urlparse.urljoin(page_url, new_url)\n new_urls.add(new_full_url)\nreturn new_urls",
"res_data = {}\nres_data['url'] = page_url\ntitle_node = soup.find('dd',... | <|body_start_0|>
new_urls = set()
links = soup.find_all('a', href=re.compile('/view/\\d+\\.htm'))
for link in links:
new_url = link['href']
new_full_url = urlparse.urljoin(page_url, new_url)
new_urls.add(new_full_url)
return new_urls
<|end_body_0|>
<|... | HtmlParser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HtmlParser:
def _get_new_urls(self, page_url, soup):
"""获取url列表,匹配出页面所有词条的url :param page_url: :param soup: :return:"""
<|body_0|>
def _get_new_data(self, page_url, soup):
"""获取数据,解析出了titel与summary两个数据 :param page_url: url地址 :param soup: :return: 返回解析好的数据 url,title,s... | stack_v2_sparse_classes_36k_train_034814 | 2,723 | no_license | [
{
"docstring": "获取url列表,匹配出页面所有词条的url :param page_url: :param soup: :return:",
"name": "_get_new_urls",
"signature": "def _get_new_urls(self, page_url, soup)"
},
{
"docstring": "获取数据,解析出了titel与summary两个数据 :param page_url: url地址 :param soup: :return: 返回解析好的数据 url,title,summary",
"name": "_get... | 3 | stack_v2_sparse_classes_30k_train_019092 | Implement the Python class `HtmlParser` described below.
Class description:
Implement the HtmlParser class.
Method signatures and docstrings:
- def _get_new_urls(self, page_url, soup): 获取url列表,匹配出页面所有词条的url :param page_url: :param soup: :return:
- def _get_new_data(self, page_url, soup): 获取数据,解析出了titel与summary两个数据 :p... | Implement the Python class `HtmlParser` described below.
Class description:
Implement the HtmlParser class.
Method signatures and docstrings:
- def _get_new_urls(self, page_url, soup): 获取url列表,匹配出页面所有词条的url :param page_url: :param soup: :return:
- def _get_new_data(self, page_url, soup): 获取数据,解析出了titel与summary两个数据 :p... | 5273553a10243744905de92f325ee7d4b2fd94bf | <|skeleton|>
class HtmlParser:
def _get_new_urls(self, page_url, soup):
"""获取url列表,匹配出页面所有词条的url :param page_url: :param soup: :return:"""
<|body_0|>
def _get_new_data(self, page_url, soup):
"""获取数据,解析出了titel与summary两个数据 :param page_url: url地址 :param soup: :return: 返回解析好的数据 url,title,s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HtmlParser:
def _get_new_urls(self, page_url, soup):
"""获取url列表,匹配出页面所有词条的url :param page_url: :param soup: :return:"""
new_urls = set()
links = soup.find_all('a', href=re.compile('/view/\\d+\\.htm'))
for link in links:
new_url = link['href']
new_full_ur... | the_stack_v2_python_sparse | baike_spider/html_parser.py | linuxhub/python | train | 3 | |
1718fd0de16a4973603bc47f724bde41fbcbc2fe | [
"p = prehead = ListNode()\ncarry = 0\nwhile l1 or l2:\n s = carry\n if l1:\n s += l1.val\n l1 = l1.next\n if l2:\n s += l2.val\n l2 = l2.next\n carry = s // 10\n p.next = ListNode(s % 10)\n p = p.next\nif carry:\n p.next = ListNode(carry)\nreturn prehead.next",
"de... | <|body_start_0|>
p = prehead = ListNode()
carry = 0
while l1 or l2:
s = carry
if l1:
s += l1.val
l1 = l1.next
if l2:
s += l2.val
l2 = l2.next
carry = s // 10
p.next = ListN... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def addTwoNumbers_v1(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Use a "prehead" to simplify the logic. LeatCode: 64 ms, 14 MB; beats 94.54%"""
<|body_0|>
def addTwoNumbers_v2(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Convert lists to integers... | stack_v2_sparse_classes_36k_train_034815 | 3,213 | no_license | [
{
"docstring": "Use a \"prehead\" to simplify the logic. LeatCode: 64 ms, 14 MB; beats 94.54%",
"name": "addTwoNumbers_v1",
"signature": "def addTwoNumbers_v1(self, l1: ListNode, l2: ListNode) -> ListNode"
},
{
"docstring": "Convert lists to integers and then conver the sume of integers back to ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addTwoNumbers_v1(self, l1: ListNode, l2: ListNode) -> ListNode: Use a "prehead" to simplify the logic. LeatCode: 64 ms, 14 MB; beats 94.54%
- def addTwoNumbers_v2(self, l1: L... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addTwoNumbers_v1(self, l1: ListNode, l2: ListNode) -> ListNode: Use a "prehead" to simplify the logic. LeatCode: 64 ms, 14 MB; beats 94.54%
- def addTwoNumbers_v2(self, l1: L... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def addTwoNumbers_v1(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Use a "prehead" to simplify the logic. LeatCode: 64 ms, 14 MB; beats 94.54%"""
<|body_0|>
def addTwoNumbers_v2(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Convert lists to integers... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def addTwoNumbers_v1(self, l1: ListNode, l2: ListNode) -> ListNode:
"""Use a "prehead" to simplify the logic. LeatCode: 64 ms, 14 MB; beats 94.54%"""
p = prehead = ListNode()
carry = 0
while l1 or l2:
s = carry
if l1:
s += l1.va... | the_stack_v2_python_sparse | python3/linked_list/add_two_numbers.py | victorchu/algorithms | train | 0 | |
dc16473254644e2f7153668429fa7ac1750e832e | [
"if location not in LOCATIONS:\n raise NotFoundError('the location provided {!r} was not found in the list of approved locations {}'.format(location, LOCATIONS))\ntry:\n return self._client.apps().create(body={'id': self._config.project, 'locationId': location}).execute()\nexcept errors.HttpError as err:\n ... | <|body_start_0|>
if location not in LOCATIONS:
raise NotFoundError('the location provided {!r} was not found in the list of approved locations {}'.format(location, LOCATIONS))
try:
return self._client.apps().create(body={'id': self._config.project, 'locationId': location}).execut... | App Engine Admin API access. | AdminAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdminAPI:
"""App Engine Admin API access."""
def create(self, location):
"""Creates a new Google App Engine application in a given location. Args: location: str, the location in which the Google App Engine application is to be hosted. Returns: A dictionary object representing the new... | stack_v2_sparse_classes_36k_train_034816 | 3,596 | permissive | [
{
"docstring": "Creates a new Google App Engine application in a given location. Args: location: str, the location in which the Google App Engine application is to be hosted. Returns: A dictionary object representing the newly created Google App Engine application (Type: google.appengine.v1.Application). Raises... | 2 | stack_v2_sparse_classes_30k_train_013739 | Implement the Python class `AdminAPI` described below.
Class description:
App Engine Admin API access.
Method signatures and docstrings:
- def create(self, location): Creates a new Google App Engine application in a given location. Args: location: str, the location in which the Google App Engine application is to be ... | Implement the Python class `AdminAPI` described below.
Class description:
App Engine Admin API access.
Method signatures and docstrings:
- def create(self, location): Creates a new Google App Engine application in a given location. Args: location: str, the location in which the Google App Engine application is to be ... | 91753e47aff26d78978ebe7aca70f4a7cbf6a3d4 | <|skeleton|>
class AdminAPI:
"""App Engine Admin API access."""
def create(self, location):
"""Creates a new Google App Engine application in a given location. Args: location: str, the location in which the Google App Engine application is to be hosted. Returns: A dictionary object representing the new... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdminAPI:
"""App Engine Admin API access."""
def create(self, location):
"""Creates a new Google App Engine application in a given location. Args: location: str, the location in which the Google App Engine application is to be hosted. Returns: A dictionary object representing the newly created Go... | the_stack_v2_python_sparse | loaner/deployments/lib/app_engine.py | ryangugcloudca/loaner | train | 0 |
0c8023968436ae88ac430ff51ecff207bb40fd6c | [
"strs = '#'.join('&{}$'.format(s))\nlength = len(strs)\ntracker = [0] * length\ncenter = right_bound = 0\nfor mid in range(1, length - 1):\n mirror = 2 * center - mid\n if mid < right_bound:\n tracker[mid] = min(right_bound - mid, tracker[mirror])\n while mid + (1 + tracker[mid]) < length and mid - ... | <|body_start_0|>
strs = '#'.join('&{}$'.format(s))
length = len(strs)
tracker = [0] * length
center = right_bound = 0
for mid in range(1, length - 1):
mirror = 2 * center - mid
if mid < right_bound:
tracker[mid] = min(right_bound - mid, tra... | String | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class String:
def get_longest_palindrome_substring(self, s: str) -> str:
"""Approach: Manacher's Algorithm Time Complexity: O(N) Space Complexity: O(N) :param s: :return:"""
<|body_0|>
def expand_around_center(self, s: str, left: int, right: int):
"""Expands around the cen... | stack_v2_sparse_classes_36k_train_034817 | 3,225 | no_license | [
{
"docstring": "Approach: Manacher's Algorithm Time Complexity: O(N) Space Complexity: O(N) :param s: :return:",
"name": "get_longest_palindrome_substring",
"signature": "def get_longest_palindrome_substring(self, s: str) -> str"
},
{
"docstring": "Expands around the center and returns the cente... | 3 | null | Implement the Python class `String` described below.
Class description:
Implement the String class.
Method signatures and docstrings:
- def get_longest_palindrome_substring(self, s: str) -> str: Approach: Manacher's Algorithm Time Complexity: O(N) Space Complexity: O(N) :param s: :return:
- def expand_around_center(s... | Implement the Python class `String` described below.
Class description:
Implement the String class.
Method signatures and docstrings:
- def get_longest_palindrome_substring(self, s: str) -> str: Approach: Manacher's Algorithm Time Complexity: O(N) Space Complexity: O(N) :param s: :return:
- def expand_around_center(s... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class String:
def get_longest_palindrome_substring(self, s: str) -> str:
"""Approach: Manacher's Algorithm Time Complexity: O(N) Space Complexity: O(N) :param s: :return:"""
<|body_0|>
def expand_around_center(self, s: str, left: int, right: int):
"""Expands around the cen... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class String:
def get_longest_palindrome_substring(self, s: str) -> str:
"""Approach: Manacher's Algorithm Time Complexity: O(N) Space Complexity: O(N) :param s: :return:"""
strs = '#'.join('&{}$'.format(s))
length = len(strs)
tracker = [0] * length
center = right_bound = 0
... | the_stack_v2_python_sparse | revisited/math_and_strings/strings/longest_palindromic_substring.py | Shiv2157k/leet_code | train | 1 | |
1285ce461d8f440a98ade3c28397c317c5a16b3d | [
"try:\n data = {'first_name': user_data['localizedFirstName'], 'last_name': user_data['localizedLastName'], 'email': user_data['elements'][0]['handle~']['emailAddress'], 'photo_url': None}\n return data\nexcept KeyError:\n raise PermissionException",
"data = {'grant_type': 'authorization_code', 'code': a... | <|body_start_0|>
try:
data = {'first_name': user_data['localizedFirstName'], 'last_name': user_data['localizedLastName'], 'email': user_data['elements'][0]['handle~']['emailAddress'], 'photo_url': None}
return data
except KeyError:
raise PermissionException
<|end_body... | Linkedin backend. | LinkedinBackend | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinkedinBackend:
"""Linkedin backend."""
def _normalize_user_data(user_data: dict) -> dict:
"""Normalize user data. :param user_data: User data from Linkedin :return: normalized user data."""
<|body_0|>
def _auth(self, auth_code: str) -> None:
"""Get user access ... | stack_v2_sparse_classes_36k_train_034818 | 3,876 | no_license | [
{
"docstring": "Normalize user data. :param user_data: User data from Linkedin :return: normalized user data.",
"name": "_normalize_user_data",
"signature": "def _normalize_user_data(user_data: dict) -> dict"
},
{
"docstring": "Get user access token by authorization code. :param auth_code: Autho... | 5 | stack_v2_sparse_classes_30k_train_001763 | Implement the Python class `LinkedinBackend` described below.
Class description:
Linkedin backend.
Method signatures and docstrings:
- def _normalize_user_data(user_data: dict) -> dict: Normalize user data. :param user_data: User data from Linkedin :return: normalized user data.
- def _auth(self, auth_code: str) -> N... | Implement the Python class `LinkedinBackend` described below.
Class description:
Linkedin backend.
Method signatures and docstrings:
- def _normalize_user_data(user_data: dict) -> dict: Normalize user data. :param user_data: User data from Linkedin :return: normalized user data.
- def _auth(self, auth_code: str) -> N... | 713b9d84ac70d964d46f189ab1f9c7b944b9684b | <|skeleton|>
class LinkedinBackend:
"""Linkedin backend."""
def _normalize_user_data(user_data: dict) -> dict:
"""Normalize user data. :param user_data: User data from Linkedin :return: normalized user data."""
<|body_0|>
def _auth(self, auth_code: str) -> None:
"""Get user access ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinkedinBackend:
"""Linkedin backend."""
def _normalize_user_data(user_data: dict) -> dict:
"""Normalize user data. :param user_data: User data from Linkedin :return: normalized user data."""
try:
data = {'first_name': user_data['localizedFirstName'], 'last_name': user_data['l... | the_stack_v2_python_sparse | jobadvisor/authentication/backends/linkedin.py | ewgen19892/jobadvisor | train | 0 |
b3e27a0bebcfae245436903639233712e2837774 | [
"self.__lib_sig = lib_sig\nself.__log_path = log_path\nself.__log_table = {}",
"logger = logging.getLogger(log_name)\nif log_level < logger.level or logger.level == logging.NOTSET:\n logger.setLevel(log_level)\nif log_name in self.__log_table and self.__log_table[log_name] == Logger.FILE_AND_CONSOLE:\n retu... | <|body_start_0|>
self.__lib_sig = lib_sig
self.__log_path = log_path
self.__log_table = {}
<|end_body_0|>
<|body_start_1|>
logger = logging.getLogger(log_name)
if log_level < logger.level or logger.level == logging.NOTSET:
logger.setLevel(log_level)
if log_na... | Responsible for impementing logging. Allows to write to an external log or a console. There are 4 types of handlers denoted by the handler constants: NONE, FILE, CONSOLE, and FILE_AND_CONSOLE. There are also 6 verbosity levels defined by the constants: NOTSET, DEBUG, INFO, WARNING, ERROR, and CRITICAL. These constants ... | Logger | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logger:
"""Responsible for impementing logging. Allows to write to an external log or a console. There are 4 types of handlers denoted by the handler constants: NONE, FILE, CONSOLE, and FILE_AND_CONSOLE. There are also 6 verbosity levels defined by the constants: NOTSET, DEBUG, INFO, WARNING, ERR... | stack_v2_sparse_classes_36k_train_034819 | 5,366 | permissive | [
{
"docstring": "Inits Logger. Args: lib_sig: str Signature of the client library. [optional] log_path: str Absolute or relative path to the logs directory.",
"name": "__init__",
"signature": "def __init__(self, lib_sig, log_path=os.path.join(os.getcwd(), 'logs'))"
},
{
"docstring": "Creates the ... | 3 | stack_v2_sparse_classes_30k_train_011791 | Implement the Python class `Logger` described below.
Class description:
Responsible for impementing logging. Allows to write to an external log or a console. There are 4 types of handlers denoted by the handler constants: NONE, FILE, CONSOLE, and FILE_AND_CONSOLE. There are also 6 verbosity levels defined by the const... | Implement the Python class `Logger` described below.
Class description:
Responsible for impementing logging. Allows to write to an external log or a console. There are 4 types of handlers denoted by the handler constants: NONE, FILE, CONSOLE, and FILE_AND_CONSOLE. There are also 6 verbosity levels defined by the const... | b30d90f74248cfd5ca52967e9ee77fc4cd1b9abc | <|skeleton|>
class Logger:
"""Responsible for impementing logging. Allows to write to an external log or a console. There are 4 types of handlers denoted by the handler constants: NONE, FILE, CONSOLE, and FILE_AND_CONSOLE. There are also 6 verbosity levels defined by the constants: NOTSET, DEBUG, INFO, WARNING, ERR... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Logger:
"""Responsible for impementing logging. Allows to write to an external log or a console. There are 4 types of handlers denoted by the handler constants: NONE, FILE, CONSOLE, and FILE_AND_CONSOLE. There are also 6 verbosity levels defined by the constants: NOTSET, DEBUG, INFO, WARNING, ERROR, and CRITI... | the_stack_v2_python_sparse | adspygoogle/common/Logger.py | nearlyfreeapps/python-googleadwords | train | 2 |
0e4170fadaf37e32e407432dd3c19403dd92e9fa | [
"if context:\n extra_flags = context.extra_flags\n for extra_flag in extra_flags:\n if extra_flag.startswith(TEST_DATA_DIR_FLAG) and test_data_dir is None:\n test_data_dir = extra_flag[len(TEST_DATA_DIR_FLAG) + 1:]\n elif extra_flag.startswith(COMPONENT_ID_FLAG) and component_id is No... | <|body_start_0|>
if context:
extra_flags = context.extra_flags
for extra_flag in extra_flags:
if extra_flag.startswith(TEST_DATA_DIR_FLAG) and test_data_dir is None:
test_data_dir = extra_flag[len(TEST_DATA_DIR_FLAG) + 1:]
elif extra_fl... | TFX base stub executor. | BaseStubExecutor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseStubExecutor:
"""TFX base stub executor."""
def __init__(self, component_id: Optional[str]=None, test_data_dir: Optional[str]=None, context: Optional[base_executor.BaseExecutor.Context]=None):
"""Initializes a BaseStubExecutor. Args: component_id: component id of a component asso... | stack_v2_sparse_classes_36k_train_034820 | 3,423 | permissive | [
{
"docstring": "Initializes a BaseStubExecutor. Args: component_id: component id of a component associated with the stub executor. test_data_dir: The directory to test data (pipeline_recorder.py). context: context class for all executors. component_id and test_data_dir can be encoded in the context as well. Rai... | 2 | stack_v2_sparse_classes_30k_train_013094 | Implement the Python class `BaseStubExecutor` described below.
Class description:
TFX base stub executor.
Method signatures and docstrings:
- def __init__(self, component_id: Optional[str]=None, test_data_dir: Optional[str]=None, context: Optional[base_executor.BaseExecutor.Context]=None): Initializes a BaseStubExecu... | Implement the Python class `BaseStubExecutor` described below.
Class description:
TFX base stub executor.
Method signatures and docstrings:
- def __init__(self, component_id: Optional[str]=None, test_data_dir: Optional[str]=None, context: Optional[base_executor.BaseExecutor.Context]=None): Initializes a BaseStubExecu... | 1b328504fa08a70388691e4072df76f143631325 | <|skeleton|>
class BaseStubExecutor:
"""TFX base stub executor."""
def __init__(self, component_id: Optional[str]=None, test_data_dir: Optional[str]=None, context: Optional[base_executor.BaseExecutor.Context]=None):
"""Initializes a BaseStubExecutor. Args: component_id: component id of a component asso... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseStubExecutor:
"""TFX base stub executor."""
def __init__(self, component_id: Optional[str]=None, test_data_dir: Optional[str]=None, context: Optional[base_executor.BaseExecutor.Context]=None):
"""Initializes a BaseStubExecutor. Args: component_id: component id of a component associated with t... | the_stack_v2_python_sparse | tfx/experimental/pipeline_testing/base_stub_executor.py | tensorflow/tfx | train | 2,116 |
1415b50a597925d7f0c4db41dcf642d935aa187f | [
"cur1 = l1\ncur2 = l2\nresult = []\nhead = ListNode('head')\ncur = head\nwhile cur1 != None or cur2 != None:\n if cur1 != None and cur2 == None:\n rv = cur1.val\n cur1 = cur1.next\n if cur1 == None and cur2 != None:\n rv = cur2.val\n cur2 = cur2.next\n if cur1 != None and cur2 !... | <|body_start_0|>
cur1 = l1
cur2 = l2
result = []
head = ListNode('head')
cur = head
while cur1 != None or cur2 != None:
if cur1 != None and cur2 == None:
rv = cur1.val
cur1 = cur1.next
if cur1 == None and cur2 != Non... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_0|>
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
cur1 = l... | stack_v2_sparse_classes_36k_train_034821 | 1,657 | no_license | [
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
},
{
"docstring": ":type lists: List[ListNode] :rtype: ListNode",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007463 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
<|skeleton|>... | 6401928a042f98dbbe513ec5cd673fa029cc4bce | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_0|>
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
cur1 = l1
cur2 = l2
result = []
head = ListNode('head')
cur = head
while cur1 != None or cur2 != None:
if cur1 != None and cur2 == None:
... | the_stack_v2_python_sparse | python/023-merge-k-sorted-lists.py | xupingmao/leetcode | train | 1 | |
9540a6cd433e360e38b03efcf032b07d58e678f9 | [
"processed_dict = {}\nfor key, value in request.GET.items():\n processed_dict[key] = value\nsign = processed_dict.pop('sign', None)\nalipay = AliPay(appid='2016092600599306', app_notify_url='http://47.98.34.221:8888/api/alipay/return', app_private_key_path=PRIVATE_KEY_PATH, alipay_public_key_path=ALIPAY_KEY_PATH... | <|body_start_0|>
processed_dict = {}
for key, value in request.GET.items():
processed_dict[key] = value
sign = processed_dict.pop('sign', None)
alipay = AliPay(appid='2016092600599306', app_notify_url='http://47.98.34.221:8888/api/alipay/return', app_private_key_path=PRIVATE_... | 支付宝请求回调视图 return_url: 同步通知 url 支付完成之后，支付宝将传入的return_url 通过get请求 app_notify_url: 异步通知 url 通过post方式请求 | AliPayView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AliPayView:
"""支付宝请求回调视图 return_url: 同步通知 url 支付完成之后，支付宝将传入的return_url 通过get请求 app_notify_url: 异步通知 url 通过post方式请求"""
def get(self, request):
"""处理支付宝的url返回"""
<|body_0|>
def post(selfs, request):
"""处理notify_url"""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_36k_train_034822 | 6,458 | no_license | [
{
"docstring": "处理支付宝的url返回",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "处理notify_url",
"name": "post",
"signature": "def post(selfs, request)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001027 | Implement the Python class `AliPayView` described below.
Class description:
支付宝请求回调视图 return_url: 同步通知 url 支付完成之后，支付宝将传入的return_url 通过get请求 app_notify_url: 异步通知 url 通过post方式请求
Method signatures and docstrings:
- def get(self, request): 处理支付宝的url返回
- def post(selfs, request): 处理notify_url | Implement the Python class `AliPayView` described below.
Class description:
支付宝请求回调视图 return_url: 同步通知 url 支付完成之后，支付宝将传入的return_url 通过get请求 app_notify_url: 异步通知 url 通过post方式请求
Method signatures and docstrings:
- def get(self, request): 处理支付宝的url返回
- def post(selfs, request): 处理notify_url
<|skeleton|>
class AliPayVie... | 8414da97036aef52c96ae42e6e760bbbc6f64c05 | <|skeleton|>
class AliPayView:
"""支付宝请求回调视图 return_url: 同步通知 url 支付完成之后，支付宝将传入的return_url 通过get请求 app_notify_url: 异步通知 url 通过post方式请求"""
def get(self, request):
"""处理支付宝的url返回"""
<|body_0|>
def post(selfs, request):
"""处理notify_url"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AliPayView:
"""支付宝请求回调视图 return_url: 同步通知 url 支付完成之后，支付宝将传入的return_url 通过get请求 app_notify_url: 异步通知 url 通过post方式请求"""
def get(self, request):
"""处理支付宝的url返回"""
processed_dict = {}
for key, value in request.GET.items():
processed_dict[key] = value
sign = process... | the_stack_v2_python_sparse | apps/trade/views.py | lize240810/Shop | train | 0 |
d3004ed74d56612b99e10519549ea90a1aa00994 | [
"ms = MessageService()\nms.registerAs('JobEmulatorBulkSubmitter')\nfor jobSpec, cacheDir in self.toSubmit.items():\n logging.debug('SpecFile = %s' % self.specFiles[jobSpec])\n ms.publish('EmulateJob', self.specFiles[jobSpec])\n ms.commit()\n logging.debug('EmulateJob message sent')\nreturn",
"if self.... | <|body_start_0|>
ms = MessageService()
ms.registerAs('JobEmulatorBulkSubmitter')
for jobSpec, cacheDir in self.toSubmit.items():
logging.debug('SpecFile = %s' % self.specFiles[jobSpec])
ms.publish('EmulateJob', self.specFiles[jobSpec])
ms.commit()
... | _JobEmulatorBulkSubmitter_ | JobEmulatorBulkSubmitter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JobEmulatorBulkSubmitter:
"""_JobEmulatorBulkSubmitter_"""
def doSubmit(self):
"""_doSubmit_ Perform bulk or single submission as needed based on the class data populated by the component that is invoking this plugin"""
<|body_0|>
def checkPluginConfig(self):
"""... | stack_v2_sparse_classes_36k_train_034823 | 1,629 | no_license | [
{
"docstring": "_doSubmit_ Perform bulk or single submission as needed based on the class data populated by the component that is invoking this plugin",
"name": "doSubmit",
"signature": "def doSubmit(self)"
},
{
"docstring": "_checkPluginConfig_ Make sure config has what is required for this sub... | 2 | null | Implement the Python class `JobEmulatorBulkSubmitter` described below.
Class description:
_JobEmulatorBulkSubmitter_
Method signatures and docstrings:
- def doSubmit(self): _doSubmit_ Perform bulk or single submission as needed based on the class data populated by the component that is invoking this plugin
- def chec... | Implement the Python class `JobEmulatorBulkSubmitter` described below.
Class description:
_JobEmulatorBulkSubmitter_
Method signatures and docstrings:
- def doSubmit(self): _doSubmit_ Perform bulk or single submission as needed based on the class data populated by the component that is invoking this plugin
- def chec... | c99608e3e349397fdd1b0b5c011bf4f33a1c3aad | <|skeleton|>
class JobEmulatorBulkSubmitter:
"""_JobEmulatorBulkSubmitter_"""
def doSubmit(self):
"""_doSubmit_ Perform bulk or single submission as needed based on the class data populated by the component that is invoking this plugin"""
<|body_0|>
def checkPluginConfig(self):
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JobEmulatorBulkSubmitter:
"""_JobEmulatorBulkSubmitter_"""
def doSubmit(self):
"""_doSubmit_ Perform bulk or single submission as needed based on the class data populated by the component that is invoking this plugin"""
ms = MessageService()
ms.registerAs('JobEmulatorBulkSubmitter... | the_stack_v2_python_sparse | src/python/JobSubmitter/Submitters/JobEmulatorBulkSubmitter.py | giffels/PRODAGENT | train | 0 |
bd487e09af6d18f93bf1d59df677765294db5a40 | [
"pm_config = pm.PaddleMobileConfig()\npm_config.precision = pm.PaddleMobileConfig.Precision.FP32\npm_config.device = pm.PaddleMobileConfig.Device.kFPGA\nif model_dir:\n pm_config.model_dir = model_dir\nelse:\n pm_config.prog_file = model_flie\n pm_config.param_file = param_file\npm_config.thread_num = thre... | <|body_start_0|>
pm_config = pm.PaddleMobileConfig()
pm_config.precision = pm.PaddleMobileConfig.Precision.FP32
pm_config.device = pm.PaddleMobileConfig.Device.kFPGA
if model_dir:
pm_config.model_dir = model_dir
else:
pm_config.prog_file = model_flie
... | pm_model | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class pm_model:
def load_model(self, model_flie, param_file, thread_num, model_dir):
"""加载PaddleMobile模型 参数：模型文件、模型参数文件、线程数、模型目录 返回：模型预测器"""
<|body_0|>
def data_feed(self, data_shape):
"""初始化PaddleMobile模型输入数据张量 参数：数据形状 返回：数据张量"""
<|body_1|>
def predict(self, ... | stack_v2_sparse_classes_36k_train_034824 | 3,563 | permissive | [
{
"docstring": "加载PaddleMobile模型 参数：模型文件、模型参数文件、线程数、模型目录 返回：模型预测器",
"name": "load_model",
"signature": "def load_model(self, model_flie, param_file, thread_num, model_dir)"
},
{
"docstring": "初始化PaddleMobile模型输入数据张量 参数：数据形状 返回：数据张量",
"name": "data_feed",
"signature": "def data_feed(self,... | 3 | stack_v2_sparse_classes_30k_train_018369 | Implement the Python class `pm_model` described below.
Class description:
Implement the pm_model class.
Method signatures and docstrings:
- def load_model(self, model_flie, param_file, thread_num, model_dir): 加载PaddleMobile模型 参数：模型文件、模型参数文件、线程数、模型目录 返回：模型预测器
- def data_feed(self, data_shape): 初始化PaddleMobile模型输入数据张量 ... | Implement the Python class `pm_model` described below.
Class description:
Implement the pm_model class.
Method signatures and docstrings:
- def load_model(self, model_flie, param_file, thread_num, model_dir): 加载PaddleMobile模型 参数：模型文件、模型参数文件、线程数、模型目录 返回：模型预测器
- def data_feed(self, data_shape): 初始化PaddleMobile模型输入数据张量 ... | afbd0e081763c53833617a4892d03043e644d641 | <|skeleton|>
class pm_model:
def load_model(self, model_flie, param_file, thread_num, model_dir):
"""加载PaddleMobile模型 参数：模型文件、模型参数文件、线程数、模型目录 返回：模型预测器"""
<|body_0|>
def data_feed(self, data_shape):
"""初始化PaddleMobile模型输入数据张量 参数：数据形状 返回：数据张量"""
<|body_1|>
def predict(self, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class pm_model:
def load_model(self, model_flie, param_file, thread_num, model_dir):
"""加载PaddleMobile模型 参数：模型文件、模型参数文件、线程数、模型目录 返回：模型预测器"""
pm_config = pm.PaddleMobileConfig()
pm_config.precision = pm.PaddleMobileConfig.Precision.FP32
pm_config.device = pm.PaddleMobileConfig.Device.... | the_stack_v2_python_sparse | mastercar/eblite_smart_car-master/model.py | wpy-111/python | train | 1 | |
1f8e1c86f0748235c66ce9c0a9f57fac2c95b8ec | [
"parser.display_info.AddFormat(backend_buckets_flags.DEFAULT_LIST_FORMAT)\nbackend_buckets_utils.AddUpdatableArgs(cls, parser, 'create')\nbackend_buckets_flags.REQUIRED_GCS_BUCKET_ARG.AddArgument(parser)\nparser.display_info.AddCacheUpdater(backend_buckets_flags.BackendBucketsCompleter)\nsigned_url_flags.AddSignedU... | <|body_start_0|>
parser.display_info.AddFormat(backend_buckets_flags.DEFAULT_LIST_FORMAT)
backend_buckets_utils.AddUpdatableArgs(cls, parser, 'create')
backend_buckets_flags.REQUIRED_GCS_BUCKET_ARG.AddArgument(parser)
parser.display_info.AddCacheUpdater(backend_buckets_flags.BackendBucke... | Create a backend bucket. *{command}* is used to create backend buckets. Backend buckets define Google Cloud Storage buckets that can serve content. URL maps define which requests are sent to which backend buckets. | Create | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Create:
"""Create a backend bucket. *{command}* is used to create backend buckets. Backend buckets define Google Cloud Storage buckets that can serve content. URL maps define which requests are sent to which backend buckets."""
def Args(cls, parser):
"""Set up arguments for this comm... | stack_v2_sparse_classes_36k_train_034825 | 3,216 | permissive | [
{
"docstring": "Set up arguments for this command.",
"name": "Args",
"signature": "def Args(cls, parser)"
},
{
"docstring": "Creates and returns the backend bucket.",
"name": "CreateBackendBucket",
"signature": "def CreateBackendBucket(self, args)"
},
{
"docstring": "Issues the r... | 3 | null | Implement the Python class `Create` described below.
Class description:
Create a backend bucket. *{command}* is used to create backend buckets. Backend buckets define Google Cloud Storage buckets that can serve content. URL maps define which requests are sent to which backend buckets.
Method signatures and docstrings... | Implement the Python class `Create` described below.
Class description:
Create a backend bucket. *{command}* is used to create backend buckets. Backend buckets define Google Cloud Storage buckets that can serve content. URL maps define which requests are sent to which backend buckets.
Method signatures and docstrings... | 85bb264e273568b5a0408f733b403c56373e2508 | <|skeleton|>
class Create:
"""Create a backend bucket. *{command}* is used to create backend buckets. Backend buckets define Google Cloud Storage buckets that can serve content. URL maps define which requests are sent to which backend buckets."""
def Args(cls, parser):
"""Set up arguments for this comm... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Create:
"""Create a backend bucket. *{command}* is used to create backend buckets. Backend buckets define Google Cloud Storage buckets that can serve content. URL maps define which requests are sent to which backend buckets."""
def Args(cls, parser):
"""Set up arguments for this command."""
... | the_stack_v2_python_sparse | google-cloud-sdk/lib/surface/compute/backend_buckets/create.py | bopopescu/socialliteapp | train | 0 |
e7b0ac669d8868f13a4af5696315ba0bee32b59a | [
"availabilities = Availability.objects.filter(bbs=data['user_bbs'])\ndate = data['date']\nweekday = date.strftime('%A')\nshift = data['shift']\npossible = False\nfor availability in availabilities:\n if availability.day == weekday and shift == availability.shift:\n logging.info('This date and shift is ava... | <|body_start_0|>
availabilities = Availability.objects.filter(bbs=data['user_bbs'])
date = data['date']
weekday = date.strftime('%A')
shift = data['shift']
possible = False
for availability in availabilities:
if availability.day == weekday and shift == availab... | Create Service Serializer. | CreateServiceSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateServiceSerializer:
"""Create Service Serializer."""
def validate(self, data):
"""Validate if the date it's a day in the availability registers of the Babysitter."""
<|body_0|>
def create(self, data):
"""Create the Service."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_36k_train_034826 | 6,205 | permissive | [
{
"docstring": "Validate if the date it's a day in the availability registers of the Babysitter.",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": "Create the Service.",
"name": "create",
"signature": "def create(self, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021357 | Implement the Python class `CreateServiceSerializer` described below.
Class description:
Create Service Serializer.
Method signatures and docstrings:
- def validate(self, data): Validate if the date it's a day in the availability registers of the Babysitter.
- def create(self, data): Create the Service. | Implement the Python class `CreateServiceSerializer` described below.
Class description:
Create Service Serializer.
Method signatures and docstrings:
- def validate(self, data): Validate if the date it's a day in the availability registers of the Babysitter.
- def create(self, data): Create the Service.
<|skeleton|>... | 5c37c6876ca13b5794ac44e0342b810426acbc76 | <|skeleton|>
class CreateServiceSerializer:
"""Create Service Serializer."""
def validate(self, data):
"""Validate if the date it's a day in the availability registers of the Babysitter."""
<|body_0|>
def create(self, data):
"""Create the Service."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateServiceSerializer:
"""Create Service Serializer."""
def validate(self, data):
"""Validate if the date it's a day in the availability registers of the Babysitter."""
availabilities = Availability.objects.filter(bbs=data['user_bbs'])
date = data['date']
weekday = date.... | the_stack_v2_python_sparse | hisitter/services/serializers/services.py | babysitter-finder/backend | train | 1 |
6175ea630661aec07348e26a9f78165f0cf043b7 | [
"self._mount_path = '/usr/local/qai/mnt'\nself._run_id = 1\nself._job_id = 1\nself._output_file_path = f'{self._mount_path}/ip/job_args/{self._job_id}/{self._run_id}/ait.input.json'\nself._ait_inventories = []\nself._ait_method_params = []\nself._ait_manifest_json = None\nwith open(manifest_path, encoding='utf-8') ... | <|body_start_0|>
self._mount_path = '/usr/local/qai/mnt'
self._run_id = 1
self._job_id = 1
self._output_file_path = f'{self._mount_path}/ip/job_args/{self._job_id}/{self._run_id}/ait.input.json'
self._ait_inventories = []
self._ait_method_params = []
self._ait_man... | ait.input.jsonを出力するためのクラス。 set関数で各項目を入力し、write関数でjsonを出力する。 あらかじめait.manifest.jsonを生成しておく必要がある。 Class for outputting ait.input.json. You input each item with the set function and output json with the write function. You must generate ait.manifest.json beforehand. | AITInputGenerator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AITInputGenerator:
"""ait.input.jsonを出力するためのクラス。 set関数で各項目を入力し、write関数でjsonを出力する。 あらかじめait.manifest.jsonを生成しておく必要がある。 Class for outputting ait.input.json. You input each item with the set function and output json with the write function. You must generate ait.manifest.json beforehand."""
def... | stack_v2_sparse_classes_36k_train_034827 | 5,937 | permissive | [
{
"docstring": "コンストラクタ Constructor Args: manifest_path : ait.manifest.jsonのパス情報 Path information in ait.manifest.json",
"name": "__init__",
"signature": "def __init__(self, manifest_path: str)"
},
{
"docstring": "Inventories項目を設定する。 Set the Inventories item. Args: name (str) : Inventoriesの名称。ai... | 4 | stack_v2_sparse_classes_30k_train_015887 | Implement the Python class `AITInputGenerator` described below.
Class description:
ait.input.jsonを出力するためのクラス。 set関数で各項目を入力し、write関数でjsonを出力する。 あらかじめait.manifest.jsonを生成しておく必要がある。 Class for outputting ait.input.json. You input each item with the set function and output json with the write function. You must generate ai... | Implement the Python class `AITInputGenerator` described below.
Class description:
ait.input.jsonを出力するためのクラス。 set関数で各項目を入力し、write関数でjsonを出力する。 あらかじめait.manifest.jsonを生成しておく必要がある。 Class for outputting ait.input.json. You input each item with the set function and output json with the write function. You must generate ai... | 6444a7b4f22faffbfddd2ef2bfcfda5505ff677c | <|skeleton|>
class AITInputGenerator:
"""ait.input.jsonを出力するためのクラス。 set関数で各項目を入力し、write関数でjsonを出力する。 あらかじめait.manifest.jsonを生成しておく必要がある。 Class for outputting ait.input.json. You input each item with the set function and output json with the write function. You must generate ait.manifest.json beforehand."""
def... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AITInputGenerator:
"""ait.input.jsonを出力するためのクラス。 set関数で各項目を入力し、write関数でjsonを出力する。 あらかじめait.manifest.jsonを生成しておく必要がある。 Class for outputting ait.input.json. You input each item with the set function and output json with the write function. You must generate ait.manifest.json beforehand."""
def __init__(sel... | the_stack_v2_python_sparse | src/modules/ait_sdk/src/ait_sdk/common/files/ait_input_generator.py | aistairc/qunomon | train | 17 |
3fbd574bb8baf82c54f2dc36c716fefcff65fb81 | [
"if s == '':\n return s\nlongest_palindrome = ''\nfor i in range(len(s)):\n one_char_longest_palindrome = self.get_char_longest_palindrome(i, i, s)\n if len(one_char_longest_palindrome) > len(longest_palindrome):\n longest_palindrome = one_char_longest_palindrome\n two_char_longest_palindrome = s... | <|body_start_0|>
if s == '':
return s
longest_palindrome = ''
for i in range(len(s)):
one_char_longest_palindrome = self.get_char_longest_palindrome(i, i, s)
if len(one_char_longest_palindrome) > len(longest_palindrome):
longest_palindrome = on... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def get_char_longest_palindrome(self, i, j, s):
"""找到以i, j中点为中心的最长回文子串 以某个字符为中心，则i，j相同 以某两个相邻字符为中心，则j=i+1 :param i: 中心点左边的索引 :param j: 中心点右边的索引. 3 :param s: 字符串 :return: 以i, j中点为中心的最长... | stack_v2_sparse_classes_36k_train_034828 | 1,639 | no_license | [
{
"docstring": ":type s: str :rtype: str",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self, s)"
},
{
"docstring": "找到以i, j中点为中心的最长回文子串 以某个字符为中心，则i，j相同 以某两个相邻字符为中心，则j=i+1 :param i: 中心点左边的索引 :param j: 中心点右边的索引. 3 :param s: 字符串 :return: 以i, j中点为中心的最长回文子串",
"name": "get_cha... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def get_char_longest_palindrome(self, i, j, s): 找到以i, j中点为中心的最长回文子串 以某个字符为中心，则i，j相同 以某两个相邻字符为中心，则j=i+1 :param i: 中心点左边的... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def get_char_longest_palindrome(self, i, j, s): 找到以i, j中点为中心的最长回文子串 以某个字符为中心，则i，j相同 以某两个相邻字符为中心，则j=i+1 :param i: 中心点左边的... | 707829268535a80cfe0ffa1dc0623520c3fcbecf | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def get_char_longest_palindrome(self, i, j, s):
"""找到以i, j中点为中心的最长回文子串 以某个字符为中心，则i，j相同 以某两个相邻字符为中心，则j=i+1 :param i: 中心点左边的索引 :param j: 中心点右边的索引. 3 :param s: 字符串 :return: 以i, j中点为中心的最长... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
if s == '':
return s
longest_palindrome = ''
for i in range(len(s)):
one_char_longest_palindrome = self.get_char_longest_palindrome(i, i, s)
if len(one_char_longest_pali... | the_stack_v2_python_sparse | leetcode/1-50/_5_longest_palindrome.py | blackwings001/algorithm | train | 0 | |
0225ec3e6194ffdb41c1705fdce0256baae7b90e | [
"user = self.params['user']\naccount = AccountRepository(user).get_account_by_user_id()\nparam_object = ParamObject({'account_id': account.id, 'circle_id': self.params['circle_id']})\nJoinInService(user).join(param_object)\nreturn {}",
"user = self.params['user']\naccount = AccountRepository(user).get_account_by_... | <|body_start_0|>
user = self.params['user']
account = AccountRepository(user).get_account_by_user_id()
param_object = ParamObject({'account_id': account.id, 'circle_id': self.params['circle_id']})
JoinInService(user).join(param_object)
return {}
<|end_body_0|>
<|body_start_1|>
... | 加入的圈子 | AJoinedCircle | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AJoinedCircle:
"""加入的圈子"""
def put(self):
"""加入圈子"""
<|body_0|>
def delete(self):
"""退出圈子"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user = self.params['user']
account = AccountRepository(user).get_account_by_user_id()
param... | stack_v2_sparse_classes_36k_train_034829 | 1,044 | no_license | [
{
"docstring": "加入圈子",
"name": "put",
"signature": "def put(self)"
},
{
"docstring": "退出圈子",
"name": "delete",
"signature": "def delete(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019100 | Implement the Python class `AJoinedCircle` described below.
Class description:
加入的圈子
Method signatures and docstrings:
- def put(self): 加入圈子
- def delete(self): 退出圈子 | Implement the Python class `AJoinedCircle` described below.
Class description:
加入的圈子
Method signatures and docstrings:
- def put(self): 加入圈子
- def delete(self): 退出圈子
<|skeleton|>
class AJoinedCircle:
"""加入的圈子"""
def put(self):
"""加入圈子"""
<|body_0|>
def delete(self):
"""退出圈子"""
... | d7a6d9d701031c28d1c7572f5c204600fbecb53a | <|skeleton|>
class AJoinedCircle:
"""加入的圈子"""
def put(self):
"""加入圈子"""
<|body_0|>
def delete(self):
"""退出圈子"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AJoinedCircle:
"""加入的圈子"""
def put(self):
"""加入圈子"""
user = self.params['user']
account = AccountRepository(user).get_account_by_user_id()
param_object = ParamObject({'account_id': account.id, 'circle_id': self.params['circle_id']})
JoinInService(user).join(param_o... | the_stack_v2_python_sparse | api/account/a_joined_circle.py | Peri-albert/membership | train | 0 |
f32b567fbb5784421eae8e19fe51d260b3c9010f | [
"self.capacity = capacity\nself.key_node = {}\nself.count_node = {}\nself.minV = None",
"if not key in self.key_node:\n return -1\nnode = self.key_node[key]\ndel self.count_node[node.count][key]\nif not self.count_node[node.count]:\n del self.count_node[node.count]\nnode.count += 1\nif not node.count in sel... | <|body_start_0|>
self.capacity = capacity
self.key_node = {}
self.count_node = {}
self.minV = None
<|end_body_0|>
<|body_start_1|>
if not key in self.key_node:
return -1
node = self.key_node[key]
del self.count_node[node.count][key]
if not sel... | LFUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k_train_034830 | 2,045 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_train_020915 | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LFUCache` described below.
Class description:
Implement the LFUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | 08b3d9cab3c1806c37d36587372b1e8fb1683f64 | <|skeleton|>
class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LFUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.key_node = {}
self.count_node = {}
self.minV = None
def get(self, key):
""":type key: int :rtype: int"""
if not key in self.key_node:
return ... | the_stack_v2_python_sparse | history/460.py | HonniLin/leetcode | train | 0 | |
568f6149f0344a47790484c2fc8a327c753c916e | [
"while path and path[-1] == '\\\\':\n path = path[:-1]\nif path:\n _, _, path = path.rpartition('\\\\')\nreturn path",
"user_account = artifacts.UserAccountArtifact(identifier=registry_key.name, path_separator='\\\\')\nregistry_value = registry_key.GetValueByName('ProfileImagePath')\nif registry_value:\n ... | <|body_start_0|>
while path and path[-1] == '\\':
path = path[:-1]
if path:
_, _, path = path.rpartition('\\')
return path
<|end_body_0|>
<|body_start_1|>
user_account = artifacts.UserAccountArtifact(identifier=registry_key.name, path_separator='\\')
regi... | The Windows user account plugin. | WindowsUserAccountsPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsUserAccountsPlugin:
"""The Windows user account plugin."""
def _GetUsernameFromProfilePath(self, path):
"""Retrieves the username from a Windows profile path. Trailing path path segment are ignored. Args: path (str): a Windows path with '\\' as path segment separator. Returns:... | stack_v2_sparse_classes_36k_train_034831 | 17,923 | permissive | [
{
"docstring": "Retrieves the username from a Windows profile path. Trailing path path segment are ignored. Args: path (str): a Windows path with '\\\\' as path segment separator. Returns: str: basename which is the last path segment.",
"name": "_GetUsernameFromProfilePath",
"signature": "def _GetUserna... | 2 | null | Implement the Python class `WindowsUserAccountsPlugin` described below.
Class description:
The Windows user account plugin.
Method signatures and docstrings:
- def _GetUsernameFromProfilePath(self, path): Retrieves the username from a Windows profile path. Trailing path path segment are ignored. Args: path (str): a W... | Implement the Python class `WindowsUserAccountsPlugin` described below.
Class description:
The Windows user account plugin.
Method signatures and docstrings:
- def _GetUsernameFromProfilePath(self, path): Retrieves the username from a Windows profile path. Trailing path path segment are ignored. Args: path (str): a W... | f9299b8ad0cb2a6bbbd5e65f01d2ba06406c70ac | <|skeleton|>
class WindowsUserAccountsPlugin:
"""The Windows user account plugin."""
def _GetUsernameFromProfilePath(self, path):
"""Retrieves the username from a Windows profile path. Trailing path path segment are ignored. Args: path (str): a Windows path with '\\' as path segment separator. Returns:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WindowsUserAccountsPlugin:
"""The Windows user account plugin."""
def _GetUsernameFromProfilePath(self, path):
"""Retrieves the username from a Windows profile path. Trailing path path segment are ignored. Args: path (str): a Windows path with '\\' as path segment separator. Returns: str: basenam... | the_stack_v2_python_sparse | engine/preprocessors/windows.py | dfrc-korea/carpe | train | 75 |
b55967d731f3ea8a3b13613a0822efde5c7c7abb | [
"try:\n username = self.apikey_handler.validate(request.query_params['access_key'], request.query_params['secret_key'])\n if username:\n sciper = get_sciper(username)\n schema = Rancher.get_schema(schema_id)\n unit_id = schema['unit_id']\n if Rancher.validate(schema_id, sciper) or ... | <|body_start_0|>
try:
username = self.apikey_handler.validate(request.query_params['access_key'], request.query_params['secret_key'])
if username:
sciper = get_sciper(username)
schema = Rancher.get_schema(schema_id)
unit_id = schema['unit_i... | SchemaDetail | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SchemaDetail:
def get(self, request, schema_id):
"""Return the schema 'schema_id' --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code: 403 message: This user isn't allowed to access to the schema - code: 404 message: Access key or secret key no found... | stack_v2_sparse_classes_36k_train_034832 | 14,178 | permissive | [
{
"docstring": "Return the schema 'schema_id' --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code: 403 message: This user isn't allowed to access to the schema - code: 404 message: Access key or secret key no found",
"name": "get",
"signature": "def get(self, reques... | 3 | stack_v2_sparse_classes_30k_train_011641 | Implement the Python class `SchemaDetail` described below.
Class description:
Implement the SchemaDetail class.
Method signatures and docstrings:
- def get(self, request, schema_id): Return the schema 'schema_id' --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code: 403 message: T... | Implement the Python class `SchemaDetail` described below.
Class description:
Implement the SchemaDetail class.
Method signatures and docstrings:
- def get(self, request, schema_id): Return the schema 'schema_id' --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code: 403 message: T... | db02f6e0cb0435b84c619dd105b7bee5eafd17e2 | <|skeleton|>
class SchemaDetail:
def get(self, request, schema_id):
"""Return the schema 'schema_id' --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code: 403 message: This user isn't allowed to access to the schema - code: 404 message: Access key or secret key no found... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SchemaDetail:
def get(self, request, schema_id):
"""Return the schema 'schema_id' --- Response messages: - code: 200 message: OK - code: 403 message: Invalid APIKey - code: 403 message: This user isn't allowed to access to the schema - code: 404 message: Access key or secret key no found"""
tr... | the_stack_v2_python_sparse | src/api/views.py | epfl-si/amm | train | 3 | |
b1fe5806dc28bd18b47f1798b1f4e4e8b3bf12e1 | [
"if not history:\n return\nhistory = self._history_dt_fmt(dt=history)\nvalid_dates = history_dates.value[asset_type]\nif history not in valid_dates:\n known = '\\n ' + '\\n '.join(list(valid_dates))\n expl = 'known history dates'\n err = f'Unknown history date {history!r}'\n msg = f'{err}, {expl}: ... | <|body_start_0|>
if not history:
return
history = self._history_dt_fmt(dt=history)
valid_dates = history_dates.value[asset_type]
if history not in valid_dates:
known = '\n ' + '\n '.join(list(valid_dates))
expl = 'known history dates'
err... | Pass. | AssetMixins | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AssetMixins:
"""Pass."""
def set_history(self, history: Union[str, datetime.timedelta, datetime.datetime], history_dates: DictValue, asset_type: str) -> str:
"""Pass."""
<|body_0|>
def _history_dt_fmt(dt: Union[str, datetime.timedelta, datetime.datetime], tmpl: str='%Y-%... | stack_v2_sparse_classes_36k_train_034833 | 16,427 | permissive | [
{
"docstring": "Pass.",
"name": "set_history",
"signature": "def set_history(self, history: Union[str, datetime.timedelta, datetime.datetime], history_dates: DictValue, asset_type: str) -> str"
},
{
"docstring": "Parse a string into the format used by the REST API. Args: dt: date time to parse u... | 2 | null | Implement the Python class `AssetMixins` described below.
Class description:
Pass.
Method signatures and docstrings:
- def set_history(self, history: Union[str, datetime.timedelta, datetime.datetime], history_dates: DictValue, asset_type: str) -> str: Pass.
- def _history_dt_fmt(dt: Union[str, datetime.timedelta, dat... | Implement the Python class `AssetMixins` described below.
Class description:
Pass.
Method signatures and docstrings:
- def set_history(self, history: Union[str, datetime.timedelta, datetime.datetime], history_dates: DictValue, asset_type: str) -> str: Pass.
- def _history_dt_fmt(dt: Union[str, datetime.timedelta, dat... | 8321788df279ffb7794f179a4bd8943fe1ac44c4 | <|skeleton|>
class AssetMixins:
"""Pass."""
def set_history(self, history: Union[str, datetime.timedelta, datetime.datetime], history_dates: DictValue, asset_type: str) -> str:
"""Pass."""
<|body_0|>
def _history_dt_fmt(dt: Union[str, datetime.timedelta, datetime.datetime], tmpl: str='%Y-%... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AssetMixins:
"""Pass."""
def set_history(self, history: Union[str, datetime.timedelta, datetime.datetime], history_dates: DictValue, asset_type: str) -> str:
"""Pass."""
if not history:
return
history = self._history_dt_fmt(dt=history)
valid_dates = history_dat... | the_stack_v2_python_sparse | axonius_api_client/api/json_api/assets.py | zahediss/axonius_api_client | train | 0 |
53514dee67f852b21609f2a78ffffd971e3e4069 | [
"for function_checker in FUNCTION_CALL_MODIFIERS:\n node = function_checker.check_and_modify_node(node)\nreturn ast.fix_missing_locations(node) if node else None",
"for name_checker in NAME_MODIFIERS:\n node = name_checker.check_and_modify_node(node)\nreturn ast.fix_missing_locations(node) if node else None... | <|body_start_0|>
for function_checker in FUNCTION_CALL_MODIFIERS:
node = function_checker.check_and_modify_node(node)
return ast.fix_missing_locations(node) if node else None
<|end_body_0|>
<|body_start_1|>
for name_checker in NAME_MODIFIERS:
node = name_checker.check_an... | An ``ast.NodeTransformer`` subclass that walks the abstract syntax tree. It modifies nodes to upgrade the given SageMaker Python SDK code. | ASTTransformer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ASTTransformer:
"""An ``ast.NodeTransformer`` subclass that walks the abstract syntax tree. It modifies nodes to upgrade the given SageMaker Python SDK code."""
def visit_Call(self, node):
"""Visits an ``ast.Call`` node and returns a modified node or None. See https://docs.python.org... | stack_v2_sparse_classes_36k_train_034834 | 6,468 | permissive | [
{
"docstring": "Visits an ``ast.Call`` node and returns a modified node or None. See https://docs.python.org/3/library/ast.html#ast.NodeTransformer. Args: node (ast.Call): a node that represents a function call. Returns: ast.AST: if the returned node is None, the original node is removed from its location. Othe... | 5 | null | Implement the Python class `ASTTransformer` described below.
Class description:
An ``ast.NodeTransformer`` subclass that walks the abstract syntax tree. It modifies nodes to upgrade the given SageMaker Python SDK code.
Method signatures and docstrings:
- def visit_Call(self, node): Visits an ``ast.Call`` node and ret... | Implement the Python class `ASTTransformer` described below.
Class description:
An ``ast.NodeTransformer`` subclass that walks the abstract syntax tree. It modifies nodes to upgrade the given SageMaker Python SDK code.
Method signatures and docstrings:
- def visit_Call(self, node): Visits an ``ast.Call`` node and ret... | 8d5d7fd8ae1a917ed3e2b988d5e533bce244fd85 | <|skeleton|>
class ASTTransformer:
"""An ``ast.NodeTransformer`` subclass that walks the abstract syntax tree. It modifies nodes to upgrade the given SageMaker Python SDK code."""
def visit_Call(self, node):
"""Visits an ``ast.Call`` node and returns a modified node or None. See https://docs.python.org... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ASTTransformer:
"""An ``ast.NodeTransformer`` subclass that walks the abstract syntax tree. It modifies nodes to upgrade the given SageMaker Python SDK code."""
def visit_Call(self, node):
"""Visits an ``ast.Call`` node and returns a modified node or None. See https://docs.python.org/3/library/as... | the_stack_v2_python_sparse | src/sagemaker/cli/compatibility/v2/ast_transformer.py | aws/sagemaker-python-sdk | train | 2,050 |
6806e0d3dcfae4849b8586447c1c77d7c28763f6 | [
"exp_value = 42\nicpw_obj = Int32(exp_value)\nself.assertEqual(exp_value, icpw_obj.icpw_value)",
"exp_value = 84\nobj0 = Int32(exp_value)\nobj1 = Int32(exp_value)\nself.assertEqual(obj0, obj1)",
"exp_value = 84\nobj0 = Int32(exp_value)\nobj1 = Int32(2 * exp_value + 1)\nself.assertNotEqual(obj0, obj1)",
"exp_v... | <|body_start_0|>
exp_value = 42
icpw_obj = Int32(exp_value)
self.assertEqual(exp_value, icpw_obj.icpw_value)
<|end_body_0|>
<|body_start_1|>
exp_value = 84
obj0 = Int32(exp_value)
obj1 = Int32(exp_value)
self.assertEqual(obj0, obj1)
<|end_body_1|>
<|body_start_2... | Int32Tester | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Int32Tester:
def test_value(self):
"""Test retrieving the value of an Int32."""
<|body_0|>
def test_eq(self):
"""Test that two Int32's with the same value compare equal."""
<|body_1|>
def test_ne(self):
"""Test that two Int32's with the same valu... | stack_v2_sparse_classes_36k_train_034835 | 42,194 | permissive | [
{
"docstring": "Test retrieving the value of an Int32.",
"name": "test_value",
"signature": "def test_value(self)"
},
{
"docstring": "Test that two Int32's with the same value compare equal.",
"name": "test_eq",
"signature": "def test_eq(self)"
},
{
"docstring": "Test that two In... | 5 | stack_v2_sparse_classes_30k_train_013163 | Implement the Python class `Int32Tester` described below.
Class description:
Implement the Int32Tester class.
Method signatures and docstrings:
- def test_value(self): Test retrieving the value of an Int32.
- def test_eq(self): Test that two Int32's with the same value compare equal.
- def test_ne(self): Test that tw... | Implement the Python class `Int32Tester` described below.
Class description:
Implement the Int32Tester class.
Method signatures and docstrings:
- def test_value(self): Test retrieving the value of an Int32.
- def test_eq(self): Test that two Int32's with the same value compare equal.
- def test_ne(self): Test that tw... | a626f881d55c307bd857d0ff980cc526f2b18de2 | <|skeleton|>
class Int32Tester:
def test_value(self):
"""Test retrieving the value of an Int32."""
<|body_0|>
def test_eq(self):
"""Test that two Int32's with the same value compare equal."""
<|body_1|>
def test_ne(self):
"""Test that two Int32's with the same valu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Int32Tester:
def test_value(self):
"""Test retrieving the value of an Int32."""
exp_value = 42
icpw_obj = Int32(exp_value)
self.assertEqual(exp_value, icpw_obj.icpw_value)
def test_eq(self):
"""Test that two Int32's with the same value compare equal."""
exp... | the_stack_v2_python_sparse | icypaw/test_types.py | sandialabs/IcyPaw | train | 0 | |
84564bc3cc7dbe7da0fa315308088f687545a02d | [
"page_info = load_test_json('fb_page_pgh_marathon.json')\npage_id = page_info['id']\norg_count_before = Organization.objects.count()\nwith self.assertRaises(FacebookOrgRecord.DoesNotExist):\n FacebookOrgRecord.objects.get(fb_id=page_id)\nwith self.assertRaises(Organization.DoesNotExist):\n Organization.object... | <|body_start_0|>
page_info = load_test_json('fb_page_pgh_marathon.json')
page_id = page_info['id']
org_count_before = Organization.objects.count()
with self.assertRaises(FacebookOrgRecord.DoesNotExist):
FacebookOrgRecord.objects.get(fb_id=page_id)
with self.assertRais... | Collection of tests for outsoucing.fbpages.store_fbpage_organization using fixed json data. | OrgStorageTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrgStorageTest:
"""Collection of tests for outsoucing.fbpages.store_fbpage_organization using fixed json data."""
def test_fb_org_insertion(self):
"""Tests that all fields from a Facebook page to org are inserted correctly. (uses predefined page both to test cache functionality and t... | stack_v2_sparse_classes_36k_train_034836 | 14,911 | no_license | [
{
"docstring": "Tests that all fields from a Facebook page to org are inserted correctly. (uses predefined page both to test cache functionality and to ensure data is as expected)",
"name": "test_fb_org_insertion",
"signature": "def test_fb_org_insertion(self)"
},
{
"docstring": "Tests that an o... | 2 | null | Implement the Python class `OrgStorageTest` described below.
Class description:
Collection of tests for outsoucing.fbpages.store_fbpage_organization using fixed json data.
Method signatures and docstrings:
- def test_fb_org_insertion(self): Tests that all fields from a Facebook page to org are inserted correctly. (us... | Implement the Python class `OrgStorageTest` described below.
Class description:
Collection of tests for outsoucing.fbpages.store_fbpage_organization using fixed json data.
Method signatures and docstrings:
- def test_fb_org_insertion(self): Tests that all fields from a Facebook page to org are inserted correctly. (us... | 3ed85e856a026001a1d91d09d31d944c64704824 | <|skeleton|>
class OrgStorageTest:
"""Collection of tests for outsoucing.fbpages.store_fbpage_organization using fixed json data."""
def test_fb_org_insertion(self):
"""Tests that all fields from a Facebook page to org are inserted correctly. (uses predefined page both to test cache functionality and t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrgStorageTest:
"""Collection of tests for outsoucing.fbpages.store_fbpage_organization using fixed json data."""
def test_fb_org_insertion(self):
"""Tests that all fields from a Facebook page to org are inserted correctly. (uses predefined page both to test cache functionality and to ensure data... | the_stack_v2_python_sparse | scenable/outsourcing/subtests/fbpages.py | gregarious/betasite | train | 0 |
1b092a95b449c370c424c99435276797fe30572d | [
"super().__init__(opt, name=name)\nself._opt = opt\nif num_mini_batches < 1:\n raise ValueError('num_mini_batches must be a positive number.')\nself._num_mini_batches = num_mini_batches\nself._offload_weight_update_variables = offload_weight_update_variables\nself._replicated_optimizer_state_sharding = replicate... | <|body_start_0|>
super().__init__(opt, name=name)
self._opt = opt
if num_mini_batches < 1:
raise ValueError('num_mini_batches must be a positive number.')
self._num_mini_batches = num_mini_batches
self._offload_weight_update_variables = offload_weight_update_variables... | An optimizer where instead of performing the weight update for every batch, gradients across multiple batches are accumulated. After multiple batches have been processed, their accumulated gradients are used to compute the weight update. This feature of neural networks allows us to simulate bigger batch sizes. For exam... | GradientAccumulationOptimizerV2 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GradientAccumulationOptimizerV2:
"""An optimizer where instead of performing the weight update for every batch, gradients across multiple batches are accumulated. After multiple batches have been processed, their accumulated gradients are used to compute the weight update. This feature of neural ... | stack_v2_sparse_classes_36k_train_034837 | 18,009 | permissive | [
{
"docstring": "Construct a Gradient Accumulation Optimizer V2. Args: opt: An existing `Optimizer` to encapsulate. num_mini_batches: Number of mini-batches the gradients will be accumulated for. offload_weight_update_variables: When enabled, any `tf.Variable` which is only used by the weight update of the pipel... | 2 | stack_v2_sparse_classes_30k_train_019689 | Implement the Python class `GradientAccumulationOptimizerV2` described below.
Class description:
An optimizer where instead of performing the weight update for every batch, gradients across multiple batches are accumulated. After multiple batches have been processed, their accumulated gradients are used to compute the... | Implement the Python class `GradientAccumulationOptimizerV2` described below.
Class description:
An optimizer where instead of performing the weight update for every batch, gradients across multiple batches are accumulated. After multiple batches have been processed, their accumulated gradients are used to compute the... | 085b20a4b6287eff8c0b792425d52422ab8cbab3 | <|skeleton|>
class GradientAccumulationOptimizerV2:
"""An optimizer where instead of performing the weight update for every batch, gradients across multiple batches are accumulated. After multiple batches have been processed, their accumulated gradients are used to compute the weight update. This feature of neural ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GradientAccumulationOptimizerV2:
"""An optimizer where instead of performing the weight update for every batch, gradients across multiple batches are accumulated. After multiple batches have been processed, their accumulated gradients are used to compute the weight update. This feature of neural networks allo... | the_stack_v2_python_sparse | tensorflow/python/ipu/optimizers/gradient_accumulation_optimizer.py | graphcore/tensorflow | train | 84 |
052a09159bd663e80b96e8d6a2d98efed53b1ae7 | [
"lowest = float('inf')\nmaxc = 0\nfor i in xrange(1, len(prices)):\n lowest = min(lowest, prices[i - 1])\n maxc = max(maxc, prices[i] - lowest)\nreturn maxc",
"local_max = 0\nmmax = 0\nfor i in xrange(1, len(prices)):\n local_max += prices[i] - prices[i - 1]\n local_max = max(0, local_max)\n mmax =... | <|body_start_0|>
lowest = float('inf')
maxc = 0
for i in xrange(1, len(prices)):
lowest = min(lowest, prices[i - 1])
maxc = max(maxc, prices[i] - lowest)
return maxc
<|end_body_0|>
<|body_start_1|>
local_max = 0
mmax = 0
for i in xrange(1,... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit_2(self, prices):
""":type prices: List[int] :rtype: int kadane algorithm 利用差具有累加性的特性."""
<|body_1|>
def rewrite(self, prices):
""":type pric... | stack_v2_sparse_classes_36k_train_034838 | 2,506 | no_license | [
{
"docstring": ":type prices: List[int] :rtype: int",
"name": "maxProfit",
"signature": "def maxProfit(self, prices)"
},
{
"docstring": ":type prices: List[int] :rtype: int kadane algorithm 利用差具有累加性的特性.",
"name": "maxProfit_2",
"signature": "def maxProfit_2(self, prices)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_008921 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit_2(self, prices): :type prices: List[int] :rtype: int kadane algorithm 利用差具有累加性的特性.
- def rewrite(... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, prices): :type prices: List[int] :rtype: int
- def maxProfit_2(self, prices): :type prices: List[int] :rtype: int kadane algorithm 利用差具有累加性的特性.
- def rewrite(... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
<|body_0|>
def maxProfit_2(self, prices):
""":type prices: List[int] :rtype: int kadane algorithm 利用差具有累加性的特性."""
<|body_1|>
def rewrite(self, prices):
""":type pric... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, prices):
""":type prices: List[int] :rtype: int"""
lowest = float('inf')
maxc = 0
for i in xrange(1, len(prices)):
lowest = min(lowest, prices[i - 1])
maxc = max(maxc, prices[i] - lowest)
return maxc
def maxProf... | the_stack_v2_python_sparse | co_fb/121_Best_Time_to_Buy_and_Sell_Stock.py | vsdrun/lc_public | train | 6 | |
c49b71a98c945dd2b5204dd3b55155f80b836eb4 | [
"self._cap = capacity\nself._q = deque()\nself._cv = Condition()",
"self._cv.acquire()\nwhile len(self._q) == self._cap:\n self._cv.wait()\n self._q.append(element)\n self._cv.notify_all()\n self._cv.release()",
"self._cv.acquire()\nwhile len(self._q) == 0:\n self._cv.wait()\nres = self._q.pop()\... | <|body_start_0|>
self._cap = capacity
self._q = deque()
self._cv = Condition()
<|end_body_0|>
<|body_start_1|>
self._cv.acquire()
while len(self._q) == self._cap:
self._cv.wait()
self._q.append(element)
self._cv.notify_all()
self._... | BoundedBlockingQueue | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BoundedBlockingQueue:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def enqueue(self, element):
""":type element: int :rtype: void"""
<|body_1|>
def dequeue(self):
""":rtype: int"""
<|body_2|>
def size(self):
... | stack_v2_sparse_classes_36k_train_034839 | 938 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type element: int :rtype: void",
"name": "enqueue",
"signature": "def enqueue(self, element)"
},
{
"docstring": ":rtype: int",
"name": "dequeue",
"sig... | 4 | null | Implement the Python class `BoundedBlockingQueue` described below.
Class description:
Implement the BoundedBlockingQueue class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def enqueue(self, element): :type element: int :rtype: void
- def dequeue(self): :rtype: int
- def siz... | Implement the Python class `BoundedBlockingQueue` described below.
Class description:
Implement the BoundedBlockingQueue class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def enqueue(self, element): :type element: int :rtype: void
- def dequeue(self): :rtype: int
- def siz... | bfd16678f179bbfc7564bfc079d2fa4b3e554be6 | <|skeleton|>
class BoundedBlockingQueue:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def enqueue(self, element):
""":type element: int :rtype: void"""
<|body_1|>
def dequeue(self):
""":rtype: int"""
<|body_2|>
def size(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BoundedBlockingQueue:
def __init__(self, capacity):
""":type capacity: int"""
self._cap = capacity
self._q = deque()
self._cv = Condition()
def enqueue(self, element):
""":type element: int :rtype: void"""
self._cv.acquire()
while len(self._q) == se... | the_stack_v2_python_sparse | SystemDesign/design-bounded-blocking-queue.py | HeliWang/upstream | train | 0 | |
0d1c887a8fd12b8f64849a937e33c746faa9b10a | [
"super().__init__(cv)\nself.cid = cv.create_polygon(x - 12, 530, x + 12, 530, x, 500, fill='red')\nself.x = x\nself.rps = rps\nself.colors = colors\nself._tospawn = 0",
"self.age += dt\nfor p in self.particles:\n p.update(dt)\nself._tospawn += self.rps * dt\ncolor = choice(self.colors)\nfor i in range(int(self... | <|body_start_0|>
super().__init__(cv)
self.cid = cv.create_polygon(x - 12, 530, x + 12, 530, x, 500, fill='red')
self.x = x
self.rps = rps
self.colors = colors
self._tospawn = 0
<|end_body_0|>
<|body_start_1|>
self.age += dt
for p in self.particles:
... | Attributes: x (float): x-coordinate of the rocketlauncher rps (float): the number of particles to spawn per second. colors (list of string): the colors of the rockets to spawn. | RocketLauncher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RocketLauncher:
"""Attributes: x (float): x-coordinate of the rocketlauncher rps (float): the number of particles to spawn per second. colors (list of string): the colors of the rockets to spawn."""
def __init__(self, cv, x, rps, colors):
"""Init Volcano objects. Args: cv (Tk.canvas)... | stack_v2_sparse_classes_36k_train_034840 | 17,823 | no_license | [
{
"docstring": "Init Volcano objects. Args: cv (Tk.canvas): the canvas in which the rocket is drawn. x (float): x-coordinate of the rocketlauncher. rps (float): the number of rockets to spawn per second. colors (list of string): the colors of the rockets to spawn.",
"name": "__init__",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_val_000248 | Implement the Python class `RocketLauncher` described below.
Class description:
Attributes: x (float): x-coordinate of the rocketlauncher rps (float): the number of particles to spawn per second. colors (list of string): the colors of the rockets to spawn.
Method signatures and docstrings:
- def __init__(self, cv, x,... | Implement the Python class `RocketLauncher` described below.
Class description:
Attributes: x (float): x-coordinate of the rocketlauncher rps (float): the number of particles to spawn per second. colors (list of string): the colors of the rockets to spawn.
Method signatures and docstrings:
- def __init__(self, cv, x,... | 5e51c57c17ee8c233a0fe63f32942e80549040fd | <|skeleton|>
class RocketLauncher:
"""Attributes: x (float): x-coordinate of the rocketlauncher rps (float): the number of particles to spawn per second. colors (list of string): the colors of the rockets to spawn."""
def __init__(self, cv, x, rps, colors):
"""Init Volcano objects. Args: cv (Tk.canvas)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RocketLauncher:
"""Attributes: x (float): x-coordinate of the rocketlauncher rps (float): the number of particles to spawn per second. colors (list of string): the colors of the rockets to spawn."""
def __init__(self, cv, x, rps, colors):
"""Init Volcano objects. Args: cv (Tk.canvas): the canvas ... | the_stack_v2_python_sparse | semester_one/infoI/sheet10/fireworks.py | fkarg/uni-stuff | train | 0 |
15fa9d8676e75800004e2e5bae4eecbb369e77bb | [
"super().__init__()\nself.dueling = dueling\nself.conv = Conv2dHeadModel(image_shape=image_shape, channels=channels or [32, 64, 64], kernel_sizes=kernel_sizes or [8, 4, 3], strides=strides or [4, 2, 1], paddings=paddings or [0, 1, 1], use_maxpool=use_maxpool, hidden_sizes=fc_size)\nself.lstm = torch.nn.LSTM(self.co... | <|body_start_0|>
super().__init__()
self.dueling = dueling
self.conv = Conv2dHeadModel(image_shape=image_shape, channels=channels or [32, 64, 64], kernel_sizes=kernel_sizes or [8, 4, 3], strides=strides or [4, 2, 1], paddings=paddings or [0, 1, 1], use_maxpool=use_maxpool, hidden_sizes=fc_size)
... | 2D convolutional neural network (for multiple video frames per observation) feeding into an LSTM and MLP output for Q-value outputs for the action set. | AtariR2d1Model | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AtariR2d1Model:
"""2D convolutional neural network (for multiple video frames per observation) feeding into an LSTM and MLP output for Q-value outputs for the action set."""
def __init__(self, image_shape, output_size, fc_size=512, lstm_size=512, head_size=512, dueling=False, use_maxpool=Fal... | stack_v2_sparse_classes_36k_train_034841 | 3,009 | permissive | [
{
"docstring": "Instantiates the neural network according to arguments; network defaults stored within this method.",
"name": "__init__",
"signature": "def __init__(self, image_shape, output_size, fc_size=512, lstm_size=512, head_size=512, dueling=False, use_maxpool=False, channels=None, kernel_sizes=No... | 2 | null | Implement the Python class `AtariR2d1Model` described below.
Class description:
2D convolutional neural network (for multiple video frames per observation) feeding into an LSTM and MLP output for Q-value outputs for the action set.
Method signatures and docstrings:
- def __init__(self, image_shape, output_size, fc_si... | Implement the Python class `AtariR2d1Model` described below.
Class description:
2D convolutional neural network (for multiple video frames per observation) feeding into an LSTM and MLP output for Q-value outputs for the action set.
Method signatures and docstrings:
- def __init__(self, image_shape, output_size, fc_si... | 98681a23bae9e8e5e9fbf68a0316ca2a22a27593 | <|skeleton|>
class AtariR2d1Model:
"""2D convolutional neural network (for multiple video frames per observation) feeding into an LSTM and MLP output for Q-value outputs for the action set."""
def __init__(self, image_shape, output_size, fc_size=512, lstm_size=512, head_size=512, dueling=False, use_maxpool=Fal... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AtariR2d1Model:
"""2D convolutional neural network (for multiple video frames per observation) feeding into an LSTM and MLP output for Q-value outputs for the action set."""
def __init__(self, image_shape, output_size, fc_size=512, lstm_size=512, head_size=512, dueling=False, use_maxpool=False, channels=... | the_stack_v2_python_sparse | dependencies/rlpyt/rlpyt/models/dqn/atari_r2d1_model.py | keirp/glamor | train | 5 |
8cf8bf9880a3d2a33dfe91a1f85e1d2b400c86e4 | [
"super().__init__(c, language='c')\naSet = set(self.type_keywords + (c.config.getData('c_import_typedefs') or []))\nself.c_type_names = f\"({'|'.join(list(aSet))})\"\nself.c_types_pattern = re.compile(self.c_type_names)\nself.c_class_pattern = re.compile('\\\\s*(%s\\\\s*)*\\\\s*class\\\\s+(\\\\w+)' % self.c_type_na... | <|body_start_0|>
super().__init__(c, language='c')
aSet = set(self.type_keywords + (c.config.getData('c_import_typedefs') or []))
self.c_type_names = f"({'|'.join(list(aSet))})"
self.c_types_pattern = re.compile(self.c_type_names)
self.c_class_pattern = re.compile('\\s*(%s\\s*)*\... | C_Importer | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class C_Importer:
def __init__(self, c: Cmdr) -> None:
"""C_Importer.__init__"""
<|body_0|>
def new_starts_block(self, i: int) -> Optional[int]:
"""Return None if lines[i] does not start a class, function or method. Otherwise, return the index of the first line of the body... | stack_v2_sparse_classes_36k_train_034842 | 4,770 | permissive | [
{
"docstring": "C_Importer.__init__",
"name": "__init__",
"signature": "def __init__(self, c: Cmdr) -> None"
},
{
"docstring": "Return None if lines[i] does not start a class, function or method. Otherwise, return the index of the first line of the body.",
"name": "new_starts_block",
"si... | 3 | stack_v2_sparse_classes_30k_train_021596 | Implement the Python class `C_Importer` described below.
Class description:
Implement the C_Importer class.
Method signatures and docstrings:
- def __init__(self, c: Cmdr) -> None: C_Importer.__init__
- def new_starts_block(self, i: int) -> Optional[int]: Return None if lines[i] does not start a class, function or me... | Implement the Python class `C_Importer` described below.
Class description:
Implement the C_Importer class.
Method signatures and docstrings:
- def __init__(self, c: Cmdr) -> None: C_Importer.__init__
- def new_starts_block(self, i: int) -> Optional[int]: Return None if lines[i] does not start a class, function or me... | 76b60e5c58781f84c86a603b9c50b709250682b8 | <|skeleton|>
class C_Importer:
def __init__(self, c: Cmdr) -> None:
"""C_Importer.__init__"""
<|body_0|>
def new_starts_block(self, i: int) -> Optional[int]:
"""Return None if lines[i] does not start a class, function or method. Otherwise, return the index of the first line of the body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class C_Importer:
def __init__(self, c: Cmdr) -> None:
"""C_Importer.__init__"""
super().__init__(c, language='c')
aSet = set(self.type_keywords + (c.config.getData('c_import_typedefs') or []))
self.c_type_names = f"({'|'.join(list(aSet))})"
self.c_types_pattern = re.compile(... | the_stack_v2_python_sparse | leo/plugins/importers/c.py | tbpassin/leo-editor | train | 0 | |
32af63a45eb4ac41d598473142bf4c74e61b0b92 | [
"myThread = threading.currentThread()\nif logger is None:\n logger = myThread.logger\nif dbi is None:\n dbi = myThread.dbi\ntablespaceIndex = ''\nif params:\n if 'tablespace_index' in params:\n tablespaceIndex = 'USING INDEX TABLESPACE %s' % params['tablespace_index']\nDBCreator.__init__(self, logge... | <|body_start_0|>
myThread = threading.currentThread()
if logger is None:
logger = myThread.logger
if dbi is None:
dbi = myThread.dbi
tablespaceIndex = ''
if params:
if 'tablespace_index' in params:
tablespaceIndex = 'USING INDEX... | This should create the BossAir schema; since they don't do it. | Create | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Create:
"""This should create the BossAir schema; since they don't do it."""
def __init__(self, logger=None, dbi=None, params=None):
"""_init_ Call the DBCreator constructor and create the list of required tables."""
<|body_0|>
def execute(self, conn=None, transaction=No... | stack_v2_sparse_classes_36k_train_034843 | 3,528 | permissive | [
{
"docstring": "_init_ Call the DBCreator constructor and create the list of required tables.",
"name": "__init__",
"signature": "def __init__(self, logger=None, dbi=None, params=None)"
},
{
"docstring": "_execute_ Check to make sure that all required tables have been defined. If everything is i... | 2 | null | Implement the Python class `Create` described below.
Class description:
This should create the BossAir schema; since they don't do it.
Method signatures and docstrings:
- def __init__(self, logger=None, dbi=None, params=None): _init_ Call the DBCreator constructor and create the list of required tables.
- def execute... | Implement the Python class `Create` described below.
Class description:
This should create the BossAir schema; since they don't do it.
Method signatures and docstrings:
- def __init__(self, logger=None, dbi=None, params=None): _init_ Call the DBCreator constructor and create the list of required tables.
- def execute... | de110ccf6fc63ef5589b4e871ef4d51d5bce7a25 | <|skeleton|>
class Create:
"""This should create the BossAir schema; since they don't do it."""
def __init__(self, logger=None, dbi=None, params=None):
"""_init_ Call the DBCreator constructor and create the list of required tables."""
<|body_0|>
def execute(self, conn=None, transaction=No... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Create:
"""This should create the BossAir schema; since they don't do it."""
def __init__(self, logger=None, dbi=None, params=None):
"""_init_ Call the DBCreator constructor and create the list of required tables."""
myThread = threading.currentThread()
if logger is None:
... | the_stack_v2_python_sparse | src/python/WMCore/BossAir/MySQL/Create.py | vkuznet/WMCore | train | 0 |
7be15996c028f9465222161469983854f37d1277 | [
"def inorder(root, k):\n if root is None or Solution.RES is not None:\n return\n inorder(root.left, k)\n Solution.COUNTER += 1\n if Solution.COUNTER == k:\n Solution.RES = root\n return\n inorder(root.right, k)\ninorder(root, k)\nreturn Solution.RES.val",
"def inorder(root, con... | <|body_start_0|>
def inorder(root, k):
if root is None or Solution.RES is not None:
return
inorder(root.left, k)
Solution.COUNTER += 1
if Solution.COUNTER == k:
Solution.RES = root
return
inorder(root.rig... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def kthSmallest(self, root, k):
"""This one requires two global(in class scope) varirables to track the ith node it's visiting and ref desired node to it. :type root: TreeNode :type k: int :rtype: int"""
<|body_0|>
def kthSmallestWithExtraSpace(self, root, k):
... | stack_v2_sparse_classes_36k_train_034844 | 2,279 | no_license | [
{
"docstring": "This one requires two global(in class scope) varirables to track the ith node it's visiting and ref desired node to it. :type root: TreeNode :type k: int :rtype: int",
"name": "kthSmallest",
"signature": "def kthSmallest(self, root, k)"
},
{
"docstring": "Extra O(n) space. :type ... | 3 | stack_v2_sparse_classes_30k_val_000083 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kthSmallest(self, root, k): This one requires two global(in class scope) varirables to track the ith node it's visiting and ref desired node to it. :type root: TreeNode :type... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kthSmallest(self, root, k): This one requires two global(in class scope) varirables to track the ith node it's visiting and ref desired node to it. :type root: TreeNode :type... | 33c623f226981942780751554f0593f2c71cf458 | <|skeleton|>
class Solution:
def kthSmallest(self, root, k):
"""This one requires two global(in class scope) varirables to track the ith node it's visiting and ref desired node to it. :type root: TreeNode :type k: int :rtype: int"""
<|body_0|>
def kthSmallestWithExtraSpace(self, root, k):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def kthSmallest(self, root, k):
"""This one requires two global(in class scope) varirables to track the ith node it's visiting and ref desired node to it. :type root: TreeNode :type k: int :rtype: int"""
def inorder(root, k):
if root is None or Solution.RES is not None:
... | the_stack_v2_python_sparse | tree/leetcode_Kth_Smallest_Element_In_A_BST.py | monkeylyf/interviewjam | train | 59 | |
388e19e86531f83882c4c2e943181f1aaec409fb | [
"timestamp = deserialize_timestamp_from_date(date=csv_row['Date'], formatstr=timestamp_format, location='BlockFi')\nbuy_asset = asset_from_blockfi(csv_row['Buy Currency'])\nbuy_amount = deserialize_asset_amount(csv_row['Buy Quantity'])\nsold_asset = asset_from_blockfi(csv_row['Sold Currency'])\nsold_amount = deseri... | <|body_start_0|>
timestamp = deserialize_timestamp_from_date(date=csv_row['Date'], formatstr=timestamp_format, location='BlockFi')
buy_asset = asset_from_blockfi(csv_row['Buy Currency'])
buy_amount = deserialize_asset_amount(csv_row['Buy Quantity'])
sold_asset = asset_from_blockfi(csv_ro... | BlockfiTradesImporter | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlockfiTradesImporter:
def _consume_blockfi_trade(self, write_cursor: DBCursor, csv_row: dict[str, Any], timestamp_format: str='%Y-%m-%d %H:%M:%S') -> None:
"""Consume the file containing only trades from BlockFi. As per my investigations (@yabirgb) this file can only contain confirmed t... | stack_v2_sparse_classes_36k_train_034845 | 3,637 | permissive | [
{
"docstring": "Consume the file containing only trades from BlockFi. As per my investigations (@yabirgb) this file can only contain confirmed trades. - UnknownAsset - DeserializationError",
"name": "_consume_blockfi_trade",
"signature": "def _consume_blockfi_trade(self, write_cursor: DBCursor, csv_row:... | 2 | null | Implement the Python class `BlockfiTradesImporter` described below.
Class description:
Implement the BlockfiTradesImporter class.
Method signatures and docstrings:
- def _consume_blockfi_trade(self, write_cursor: DBCursor, csv_row: dict[str, Any], timestamp_format: str='%Y-%m-%d %H:%M:%S') -> None: Consume the file c... | Implement the Python class `BlockfiTradesImporter` described below.
Class description:
Implement the BlockfiTradesImporter class.
Method signatures and docstrings:
- def _consume_blockfi_trade(self, write_cursor: DBCursor, csv_row: dict[str, Any], timestamp_format: str='%Y-%m-%d %H:%M:%S') -> None: Consume the file c... | 496948458b89afc41458f19d1cba0e971ab67c8b | <|skeleton|>
class BlockfiTradesImporter:
def _consume_blockfi_trade(self, write_cursor: DBCursor, csv_row: dict[str, Any], timestamp_format: str='%Y-%m-%d %H:%M:%S') -> None:
"""Consume the file containing only trades from BlockFi. As per my investigations (@yabirgb) this file can only contain confirmed t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BlockfiTradesImporter:
def _consume_blockfi_trade(self, write_cursor: DBCursor, csv_row: dict[str, Any], timestamp_format: str='%Y-%m-%d %H:%M:%S') -> None:
"""Consume the file containing only trades from BlockFi. As per my investigations (@yabirgb) this file can only contain confirmed trades. - Unkno... | the_stack_v2_python_sparse | rotkehlchen/data_import/importers/blockfi_trades.py | LefterisJP/rotkehlchen | train | 0 | |
94eeae95ba4ce272c0493d1c40fc016ac7834b7a | [
"if np.any(periods < 0.01):\n raise ValueError('The periods must be greater or equal to 0.01s')\nif np.any(periods > 10):\n raise ValueError('The periods must be less or equal to 10s')\nself.periods = periods.copy()",
"if np.any(h < 0):\n raise ValueError('The separation distance must be positive')\nif n... | <|body_start_0|>
if np.any(periods < 0.01):
raise ValueError('The periods must be greater or equal to 0.01s')
if np.any(periods > 10):
raise ValueError('The periods must be less or equal to 10s')
self.periods = periods.copy()
<|end_body_0|>
<|body_start_1|>
if np... | Simplified correlation module for testing purposes. Should not be used in productions runs as it does not produce valid correlations. | DummyCorrelation | [
"LicenseRef-scancode-warranty-disclaimer",
"CC0-1.0",
"Python-2.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DummyCorrelation:
"""Simplified correlation module for testing purposes. Should not be used in productions runs as it does not produce valid correlations."""
def __init__(self, periods):
"""Initialize the cross-correlation object. Args: periods (ndarray): An array of periods that wil... | stack_v2_sparse_classes_36k_train_034846 | 2,664 | permissive | [
{
"docstring": "Initialize the cross-correlation object. Args: periods (ndarray): An array of periods that will be requested from the function. Values must be in the range [0.01, 10.0], and must me sorted from smallest to largest. Returns: An instance of :class:`DummyCorrelation`.",
"name": "__init__",
... | 2 | stack_v2_sparse_classes_30k_train_000443 | Implement the Python class `DummyCorrelation` described below.
Class description:
Simplified correlation module for testing purposes. Should not be used in productions runs as it does not produce valid correlations.
Method signatures and docstrings:
- def __init__(self, periods): Initialize the cross-correlation obje... | Implement the Python class `DummyCorrelation` described below.
Class description:
Simplified correlation module for testing purposes. Should not be used in productions runs as it does not produce valid correlations.
Method signatures and docstrings:
- def __init__(self, periods): Initialize the cross-correlation obje... | 8094736e43cc8043044344116b064917d5560c5a | <|skeleton|>
class DummyCorrelation:
"""Simplified correlation module for testing purposes. Should not be used in productions runs as it does not produce valid correlations."""
def __init__(self, periods):
"""Initialize the cross-correlation object. Args: periods (ndarray): An array of periods that wil... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DummyCorrelation:
"""Simplified correlation module for testing purposes. Should not be used in productions runs as it does not produce valid correlations."""
def __init__(self, periods):
"""Initialize the cross-correlation object. Args: periods (ndarray): An array of periods that will be requeste... | the_stack_v2_python_sparse | shakelib/correlation/dummy.py | GeoscienceAustralia/shakemap | train | 1 |
7d30add9a01cecdcd566bca67de339a4bf9ba343 | [
"SpsSequence.__init__(self, cams, **seqKeys)\ncameraWithHexapodPowerCycled = [cam for cam in cams if cam.specName in hexapodOff]\nif cameraWithHexapodPowerCycled:\n self.expose('arc', lampsKeys, cameraWithHexapodPowerCycled, duplicate=duplicate)\nself.add('sps', 'slit start', cams=cams)\nself.add('sps', 'slit ho... | <|body_start_0|>
SpsSequence.__init__(self, cams, **seqKeys)
cameraWithHexapodPowerCycled = [cam for cam in cams if cam.specName in hexapodOff]
if cameraWithHexapodPowerCycled:
self.expose('arc', lampsKeys, cameraWithHexapodPowerCycled, duplicate=duplicate)
self.add('sps', 's... | hexapod stability sequence | HexapodStability | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HexapodStability:
"""hexapod stability sequence"""
def __init__(self, cams, lampsKeys, duplicate, positions, hexapodOff, **seqKeys):
"""Acquire a hexapod repeatability grid. Args ---- positions : vector of `float` the positions for the slit dither and shift grid. Default=[0.05, 0.04,... | stack_v2_sparse_classes_36k_train_034847 | 4,346 | no_license | [
{
"docstring": "Acquire a hexapod repeatability grid. Args ---- positions : vector of `float` the positions for the slit dither and shift grid. Default=[0.05, 0.04, 0.03, 0.02, 0.01, 0, -0.01, -0.02, -0.03, -0.04, -0.05] duplicate : `int` the number of exposures to take at each position. Notes ----- The cams/sm... | 2 | stack_v2_sparse_classes_30k_train_019966 | Implement the Python class `HexapodStability` described below.
Class description:
hexapod stability sequence
Method signatures and docstrings:
- def __init__(self, cams, lampsKeys, duplicate, positions, hexapodOff, **seqKeys): Acquire a hexapod repeatability grid. Args ---- positions : vector of `float` the positions... | Implement the Python class `HexapodStability` described below.
Class description:
hexapod stability sequence
Method signatures and docstrings:
- def __init__(self, cams, lampsKeys, duplicate, positions, hexapodOff, **seqKeys): Acquire a hexapod repeatability grid. Args ---- positions : vector of `float` the positions... | 4de50d621193346af0933e85ecdc6fe8b82eed3e | <|skeleton|>
class HexapodStability:
"""hexapod stability sequence"""
def __init__(self, cams, lampsKeys, duplicate, positions, hexapodOff, **seqKeys):
"""Acquire a hexapod repeatability grid. Args ---- positions : vector of `float` the positions for the slit dither and shift grid. Default=[0.05, 0.04,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HexapodStability:
"""hexapod stability sequence"""
def __init__(self, cams, lampsKeys, duplicate, positions, hexapodOff, **seqKeys):
"""Acquire a hexapod repeatability grid. Args ---- positions : vector of `float` the positions for the slit dither and shift grid. Default=[0.05, 0.04, 0.03, 0.02, ... | the_stack_v2_python_sparse | python/ics/iicActor/sequenceList/sps/engineering.py | Subaru-PFS/ics_iicActor | train | 0 |
7fff6e1b6d69d0f59b6483df6bb86636850deeeb | [
"self.external_tagging_restriction = external_tagging_restriction\nself.node_template = node_template\nself.fix_it = fix_it\nself.active_only = active_only\nsuper(TermTreeWidget, self).__init__(attrs)",
"if value is None:\n value = []\nreturn render_to_string('edw/admin/term/widgets/tree/widget.html', {'name':... | <|body_start_0|>
self.external_tagging_restriction = external_tagging_restriction
self.node_template = node_template
self.fix_it = fix_it
self.active_only = active_only
super(TermTreeWidget, self).__init__(attrs)
<|end_body_0|>
<|body_start_1|>
if value is None:
... | Приложение терминов дерева | TermTreeWidget | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TermTreeWidget:
"""Приложение терминов дерева"""
def __init__(self, attrs=None, external_tagging_restriction=False, node_template='extended', fix_it=True, active_only=0):
"""Конструктор класса"""
<|body_0|>
def render(self, name, value, attrs=None, choices=(), renderer=N... | stack_v2_sparse_classes_36k_train_034848 | 1,868 | permissive | [
{
"docstring": "Конструктор класса",
"name": "__init__",
"signature": "def __init__(self, attrs=None, external_tagging_restriction=False, node_template='extended', fix_it=True, active_only=0)"
},
{
"docstring": "Выполняет запрос и возвращает страницу терминов",
"name": "render",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_008879 | Implement the Python class `TermTreeWidget` described below.
Class description:
Приложение терминов дерева
Method signatures and docstrings:
- def __init__(self, attrs=None, external_tagging_restriction=False, node_template='extended', fix_it=True, active_only=0): Конструктор класса
- def render(self, name, value, at... | Implement the Python class `TermTreeWidget` described below.
Class description:
Приложение терминов дерева
Method signatures and docstrings:
- def __init__(self, attrs=None, external_tagging_restriction=False, node_template='extended', fix_it=True, active_only=0): Конструктор класса
- def render(self, name, value, at... | 2f7c535cb9f91d6bcb2f1e91b58edebc01255612 | <|skeleton|>
class TermTreeWidget:
"""Приложение терминов дерева"""
def __init__(self, attrs=None, external_tagging_restriction=False, node_template='extended', fix_it=True, active_only=0):
"""Конструктор класса"""
<|body_0|>
def render(self, name, value, attrs=None, choices=(), renderer=N... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TermTreeWidget:
"""Приложение терминов дерева"""
def __init__(self, attrs=None, external_tagging_restriction=False, node_template='extended', fix_it=True, active_only=0):
"""Конструктор класса"""
self.external_tagging_restriction = external_tagging_restriction
self.node_template =... | the_stack_v2_python_sparse | backend/edw/admin/term/widgets.py | infolabs/django-edw | train | 5 |
018245f5e9437d459cd7b52ed813d5cd7e64c530 | [
"node, rule_kw = node_from_uri(uri)\nif node == None:\n abort(404)\nrule_kw.update(node)\nvalues = rule_kw\nxhr_data = request.get_json()\nif xhr_data:\n values.update(xhr_data)\nvalues.update(request.form.to_dict(flat=True))\nvalues.update(request.args.to_dict(flat=True))\nvalues.update(request.cookies)\nval... | <|body_start_0|>
node, rule_kw = node_from_uri(uri)
if node == None:
abort(404)
rule_kw.update(node)
values = rule_kw
xhr_data = request.get_json()
if xhr_data:
values.update(xhr_data)
values.update(request.form.to_dict(flat=True))
... | Handles access to a uri. The uri is first matched directly with a route to get a node. If that fails, it will load up the custom map and check the uri with any matching routes. When a node is retrieved (get) it renders that nodes value. (See `render_node`.) | PageView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PageView:
"""Handles access to a uri. The uri is first matched directly with a route to get a node. If that fails, it will load up the custom map and check the uri with any matching routes. When a node is retrieved (get) it renders that nodes value. (See `render_node`.)"""
def get(self, uri=... | stack_v2_sparse_classes_36k_train_034849 | 9,625 | no_license | [
{
"docstring": "For sql queries that start with 'SELECT ...'",
"name": "get",
"signature": "def get(self, uri='')"
},
{
"docstring": "For sql queries that start with 'INSERT ...'",
"name": "post",
"signature": "def post(self, uri='')"
},
{
"docstring": "For sql queries that start... | 5 | stack_v2_sparse_classes_30k_train_007010 | Implement the Python class `PageView` described below.
Class description:
Handles access to a uri. The uri is first matched directly with a route to get a node. If that fails, it will load up the custom map and check the uri with any matching routes. When a node is retrieved (get) it renders that nodes value. (See `re... | Implement the Python class `PageView` described below.
Class description:
Handles access to a uri. The uri is first matched directly with a route to get a node. If that fails, it will load up the custom map and check the uri with any matching routes. When a node is retrieved (get) it renders that nodes value. (See `re... | ee6b57cfef2119523a083e82d902a6024e0d995a | <|skeleton|>
class PageView:
"""Handles access to a uri. The uri is first matched directly with a route to get a node. If that fails, it will load up the custom map and check the uri with any matching routes. When a node is retrieved (get) it renders that nodes value. (See `render_node`.)"""
def get(self, uri=... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PageView:
"""Handles access to a uri. The uri is first matched directly with a route to get a node. If that fails, it will load up the custom map and check the uri with any matching routes. When a node is retrieved (get) it renders that nodes value. (See `render_node`.)"""
def get(self, uri=''):
... | the_stack_v2_python_sparse | BugSwarm/jkenlooper-chill-330840536/buggy_files/src/chill/public.py | tdurieux/BugSwarm-dissection | train | 1 |
89287db9ca453d6775f00b091909301711461dd2 | [
"self.uname = 'testuser'\nself.email = 'test+courses@edx.org'\nself.password = 'foo'\nself.user = User.objects.create_user(self.uname, self.email, self.password)\nself.user.is_active = True\nself.user.is_staff = True\nself.user.save()\nself.course_data = {'template': 'i4x://edx/templates/course/Empty', 'org': 'MITx... | <|body_start_0|>
self.uname = 'testuser'
self.email = 'test+courses@edx.org'
self.password = 'foo'
self.user = User.objects.create_user(self.uname, self.email, self.password)
self.user.is_active = True
self.user.is_staff = True
self.user.save()
self.course... | Tests to validate Internationalization. | InternationalizationTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InternationalizationTest:
"""Tests to validate Internationalization."""
def setUp(self):
"""These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each... | stack_v2_sparse_classes_36k_train_034850 | 3,349 | no_license | [
{
"docstring": "These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each test case execution and deleted afterwards.",
"name": "setUp",
"signature": "def setUp(self)"
... | 4 | null | Implement the Python class `InternationalizationTest` described below.
Class description:
Tests to validate Internationalization.
Method signatures and docstrings:
- def setUp(self): These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so th... | Implement the Python class `InternationalizationTest` described below.
Class description:
Tests to validate Internationalization.
Method signatures and docstrings:
- def setUp(self): These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so th... | 5fa3a818c3d41bd9c3eb25122e1d376c8910269c | <|skeleton|>
class InternationalizationTest:
"""Tests to validate Internationalization."""
def setUp(self):
"""These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InternationalizationTest:
"""Tests to validate Internationalization."""
def setUp(self):
"""These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each test case ex... | the_stack_v2_python_sparse | ExtractFeatures/Data/pratik98/test_i18n.py | vivekaxl/LexisNexis | train | 9 |
d00fc890167500ec246f7df90188b898f24fcecf | [
"self.points = points\nself.min_x = min(self.points, key=lambda pt: pt[0])[0]\nself.max_x = max(self.points, key=lambda pt: pt[0])[0]\nself.min_y = min(self.points, key=lambda pt: pt[1])[1]\nself.max_y = max(self.points, key=lambda pt: pt[1])[1]\nself._double_collision = False\nself._intercept = None",
"self._dou... | <|body_start_0|>
self.points = points
self.min_x = min(self.points, key=lambda pt: pt[0])[0]
self.max_x = max(self.points, key=lambda pt: pt[0])[0]
self.min_y = min(self.points, key=lambda pt: pt[1])[1]
self.max_y = max(self.points, key=lambda pt: pt[1])[1]
self._double_c... | This class represents a single polygon obstacle in the pinball domain and detects when a :class:`BallModel` hits it. When a collision is detected, it also provides a way to compute the appropriate effect to apply on the ball. | PinballObstacle | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PinballObstacle:
"""This class represents a single polygon obstacle in the pinball domain and detects when a :class:`BallModel` hits it. When a collision is detected, it also provides a way to compute the appropriate effect to apply on the ball."""
def __init__(self, points):
""":par... | stack_v2_sparse_classes_36k_train_034851 | 19,800 | permissive | [
{
"docstring": ":param points: A list of points defining the polygon :type points: list of lists",
"name": "__init__",
"signature": "def __init__(self, points)"
},
{
"docstring": "Determines if the ball hits this obstacle :param ball: An instance of :class:`BallModel` :type ball: :class:`BallMod... | 6 | stack_v2_sparse_classes_30k_train_012815 | Implement the Python class `PinballObstacle` described below.
Class description:
This class represents a single polygon obstacle in the pinball domain and detects when a :class:`BallModel` hits it. When a collision is detected, it also provides a way to compute the appropriate effect to apply on the ball.
Method sign... | Implement the Python class `PinballObstacle` described below.
Class description:
This class represents a single polygon obstacle in the pinball domain and detects when a :class:`BallModel` hits it. When a collision is detected, it also provides a way to compute the appropriate effect to apply on the ball.
Method sign... | 32f06bd38d80f0b1ffc945bf0aeebe572104e809 | <|skeleton|>
class PinballObstacle:
"""This class represents a single polygon obstacle in the pinball domain and detects when a :class:`BallModel` hits it. When a collision is detected, it also provides a way to compute the appropriate effect to apply on the ball."""
def __init__(self, points):
""":par... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PinballObstacle:
"""This class represents a single polygon obstacle in the pinball domain and detects when a :class:`BallModel` hits it. When a collision is detected, it also provides a way to compute the appropriate effect to apply on the ball."""
def __init__(self, points):
""":param points: A ... | the_stack_v2_python_sparse | rlpy/Domains/Pinball.py | tunnelshade/rlpy | train | 1 |
069a78f6d08d9da6214e04de9e55354470edcde9 | [
"import hashlib\nh = hashlib.sha1(user.password + unicode(user.last_login_date) + unicode(user.id)).hexdigest()[::2]\nreturn '%s-%s' % (int_to_base36(user.id), h)",
"try:\n ts_b36 = token.split('-')[0]\nexcept ValueError:\n return False\ntry:\n uid = base36_to_int(ts_b36)\nexcept ValueError:\n return ... | <|body_start_0|>
import hashlib
h = hashlib.sha1(user.password + unicode(user.last_login_date) + unicode(user.id)).hexdigest()[::2]
return '%s-%s' % (int_to_base36(user.id), h)
<|end_body_0|>
<|body_start_1|>
try:
ts_b36 = token.split('-')[0]
except ValueError:
... | Class for generating tokens during password reset. | PasswordResetTokenGenerator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PasswordResetTokenGenerator:
"""Class for generating tokens during password reset."""
def make_token(self, user):
"""@parameter{user,User} instance of the User whom Token should be generated for @returns{string} Token with timestamp generated for specified User"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_034852 | 2,235 | permissive | [
{
"docstring": "@parameter{user,User} instance of the User whom Token should be generated for @returns{string} Token with timestamp generated for specified User",
"name": "make_token",
"signature": "def make_token(self, user)"
},
{
"docstring": "@parameter{user,User} instance of the User whose T... | 2 | null | Implement the Python class `PasswordResetTokenGenerator` described below.
Class description:
Class for generating tokens during password reset.
Method signatures and docstrings:
- def make_token(self, user): @parameter{user,User} instance of the User whom Token should be generated for @returns{string} Token with time... | Implement the Python class `PasswordResetTokenGenerator` described below.
Class description:
Class for generating tokens during password reset.
Method signatures and docstrings:
- def make_token(self, user): @parameter{user,User} instance of the User whom Token should be generated for @returns{string} Token with time... | 8113673fa13b6fe195cea99dedab9616aeca3ae8 | <|skeleton|>
class PasswordResetTokenGenerator:
"""Class for generating tokens during password reset."""
def make_token(self, user):
"""@parameter{user,User} instance of the User whom Token should be generated for @returns{string} Token with timestamp generated for specified User"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PasswordResetTokenGenerator:
"""Class for generating tokens during password reset."""
def make_token(self, user):
"""@parameter{user,User} instance of the User whom Token should be generated for @returns{string} Token with timestamp generated for specified User"""
import hashlib
h... | the_stack_v2_python_sparse | src/clm/utils/tokens.py | jochym/cc1 | train | 0 |
6beae9c5229d4f1aa0559b2200bf4c9a499ac1f4 | [
"host = DATABASE[DataBase]['host']\nuser = DATABASE[DataBase]['user']\npassword = DATABASE[DataBase]['password']\ndatabase = DATABASE[DataBase]['database']\nself._connector = ''\ntry:\n self._connector = MySQLdb.connect(host, user, password, database)\nexcept (MySQLdb.Error, MySQLdb.Warning) as errorMessage:\n ... | <|body_start_0|>
host = DATABASE[DataBase]['host']
user = DATABASE[DataBase]['user']
password = DATABASE[DataBase]['password']
database = DATABASE[DataBase]['database']
self._connector = ''
try:
self._connector = MySQLdb.connect(host, user, password, database)... | Klass twożący sesje do bazy dany | IDataConnector | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IDataConnector:
"""Klass twożący sesje do bazy dany"""
def __init__(self, DataBase='test_cloud'):
"""reconstruct SQL requests and create a table"""
<|body_0|>
def _reconfigurate_connection(self, DataBase='test_cloud'):
"""reconstruct SQL requests and create a tab... | stack_v2_sparse_classes_36k_train_034853 | 1,408 | no_license | [
{
"docstring": "reconstruct SQL requests and create a table",
"name": "__init__",
"signature": "def __init__(self, DataBase='test_cloud')"
},
{
"docstring": "reconstruct SQL requests and create a table",
"name": "_reconfigurate_connection",
"signature": "def _reconfigurate_connection(sel... | 2 | stack_v2_sparse_classes_30k_train_016160 | Implement the Python class `IDataConnector` described below.
Class description:
Klass twożący sesje do bazy dany
Method signatures and docstrings:
- def __init__(self, DataBase='test_cloud'): reconstruct SQL requests and create a table
- def _reconfigurate_connection(self, DataBase='test_cloud'): reconstruct SQL requ... | Implement the Python class `IDataConnector` described below.
Class description:
Klass twożący sesje do bazy dany
Method signatures and docstrings:
- def __init__(self, DataBase='test_cloud'): reconstruct SQL requests and create a table
- def _reconfigurate_connection(self, DataBase='test_cloud'): reconstruct SQL requ... | 6a15ea5239d22ba111863e66250a59301022c018 | <|skeleton|>
class IDataConnector:
"""Klass twożący sesje do bazy dany"""
def __init__(self, DataBase='test_cloud'):
"""reconstruct SQL requests and create a table"""
<|body_0|>
def _reconfigurate_connection(self, DataBase='test_cloud'):
"""reconstruct SQL requests and create a tab... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IDataConnector:
"""Klass twożący sesje do bazy dany"""
def __init__(self, DataBase='test_cloud'):
"""reconstruct SQL requests and create a table"""
host = DATABASE[DataBase]['host']
user = DATABASE[DataBase]['user']
password = DATABASE[DataBase]['password']
databas... | the_stack_v2_python_sparse | static/classes/datacontroller/IDataManager.py | Morfeu5z/Trashpanda-Cloud | train | 2 |
24c0eca60e4b90b60e8991bbd27f5d587f97dfc2 | [
"pc = DotDict()\nf2jd = copy.deepcopy(cannonical_json_dump)\npc.upload_file_minidump_flash2 = DotDict()\npc.upload_file_minidump_flash2.json_dump = f2jd\npc.upload_file_minidump_flash2.signature = 'hang | NtUserWaitMessage | F34033164________________________________'\nfake_processor = create_basic_fake_processor()\... | <|body_start_0|>
pc = DotDict()
f2jd = copy.deepcopy(cannonical_json_dump)
pc.upload_file_minidump_flash2 = DotDict()
pc.upload_file_minidump_flash2.json_dump = f2jd
pc.upload_file_minidump_flash2.signature = 'hang | NtUserWaitMessage | F34033164________________________________'
... | TestBug811804 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestBug811804:
def test_action_success(self):
"""success - target signature fonud"""
<|body_0|>
def test_action_failure(self):
"""success - target signature not found"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
pc = DotDict()
f2jd = copy... | stack_v2_sparse_classes_36k_train_034854 | 27,276 | no_license | [
{
"docstring": "success - target signature fonud",
"name": "test_action_success",
"signature": "def test_action_success(self)"
},
{
"docstring": "success - target signature not found",
"name": "test_action_failure",
"signature": "def test_action_failure(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016495 | Implement the Python class `TestBug811804` described below.
Class description:
Implement the TestBug811804 class.
Method signatures and docstrings:
- def test_action_success(self): success - target signature fonud
- def test_action_failure(self): success - target signature not found | Implement the Python class `TestBug811804` described below.
Class description:
Implement the TestBug811804 class.
Method signatures and docstrings:
- def test_action_success(self): success - target signature fonud
- def test_action_failure(self): success - target signature not found
<|skeleton|>
class TestBug811804:... | 9c9b7701d7ddf9f3cbba1a4d0aa65758e8b49528 | <|skeleton|>
class TestBug811804:
def test_action_success(self):
"""success - target signature fonud"""
<|body_0|>
def test_action_failure(self):
"""success - target signature not found"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestBug811804:
def test_action_success(self):
"""success - target signature fonud"""
pc = DotDict()
f2jd = copy.deepcopy(cannonical_json_dump)
pc.upload_file_minidump_flash2 = DotDict()
pc.upload_file_minidump_flash2.json_dump = f2jd
pc.upload_file_minidump_flas... | the_stack_v2_python_sparse | socorro/unittest/processor/test_skunk_classifiers.py | v1ka5/socorro | train | 0 | |
d4c0422c97195fb79950977c565e2ad2c56b54d7 | [
"size = len(prices)\nif size <= 0:\n return 0\nmemo = {}\n\ndef dp(start, k):\n if k == 0:\n return 0\n if start >= size:\n return 0\n if (start, k) in memo:\n return memo[start, k]\n minIdx = start\n maxPro = 0\n for i in range(start + 1, size):\n if prices[i] < pri... | <|body_start_0|>
size = len(prices)
if size <= 0:
return 0
memo = {}
def dp(start, k):
if k == 0:
return 0
if start >= size:
return 0
if (start, k) in memo:
return memo[start, k]
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProfit(self, k: int, prices: List[int]) -> int:
"""暴力优化2：消除一层循环+备忘录，超时90分吧，后续状态机优化"""
<|body_0|>
def maxProfit_dp(self, k: int, prices: List[int]) -> int:
"""动态规划：三个操作状态buy, sell, rest。 通用状态转移方程：s[0,1]两种(有无股票)状态的两种情况，昨天的股票持有状态和今天的操作影响今天的收益情况 dp[i][k]... | stack_v2_sparse_classes_36k_train_034855 | 5,547 | permissive | [
{
"docstring": "暴力优化2：消除一层循环+备忘录，超时90分吧，后续状态机优化",
"name": "maxProfit",
"signature": "def maxProfit(self, k: int, prices: List[int]) -> int"
},
{
"docstring": "动态规划：三个操作状态buy, sell, rest。 通用状态转移方程：s[0,1]两种(有无股票)状态的两种情况，昨天的股票持有状态和今天的操作影响今天的收益情况 dp[i][k][0] = max(dp[i - 1][k][0], dp[i - 1][k][1] + ... | 3 | stack_v2_sparse_classes_30k_test_000772 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, k: int, prices: List[int]) -> int: 暴力优化2：消除一层循环+备忘录，超时90分吧，后续状态机优化
- def maxProfit_dp(self, k: int, prices: List[int]) -> int: 动态规划：三个操作状态buy, sell, rest。 通用状... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProfit(self, k: int, prices: List[int]) -> int: 暴力优化2：消除一层循环+备忘录，超时90分吧，后续状态机优化
- def maxProfit_dp(self, k: int, prices: List[int]) -> int: 动态规划：三个操作状态buy, sell, rest。 通用状... | e8a1c6cae6547cbcb6e8494be6df685f3e7c837c | <|skeleton|>
class Solution:
def maxProfit(self, k: int, prices: List[int]) -> int:
"""暴力优化2：消除一层循环+备忘录，超时90分吧，后续状态机优化"""
<|body_0|>
def maxProfit_dp(self, k: int, prices: List[int]) -> int:
"""动态规划：三个操作状态buy, sell, rest。 通用状态转移方程：s[0,1]两种(有无股票)状态的两种情况，昨天的股票持有状态和今天的操作影响今天的收益情况 dp[i][k]... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProfit(self, k: int, prices: List[int]) -> int:
"""暴力优化2：消除一层循环+备忘录，超时90分吧，后续状态机优化"""
size = len(prices)
if size <= 0:
return 0
memo = {}
def dp(start, k):
if k == 0:
return 0
if start >= size:
... | the_stack_v2_python_sparse | 123-best-time-to-buy-and-sell-stock-iii.py | yuenliou/leetcode | train | 0 | |
972bc0c46efb864e06950a1ff9cc4b46fe6f95ef | [
"if init in self._fun2str:\n return self._fun2str[init]\nelse:\n raise Exception(\"Shared-memory graph store doesn't support user's initializer\")",
"if init in self._str2fun:\n return self._str2fun[init]\nelse:\n raise Exception(\"Shared-memory graph store doesn't support initializer \" + str(init))"... | <|body_start_0|>
if init in self._fun2str:
return self._fun2str[init]
else:
raise Exception("Shared-memory graph store doesn't support user's initializer")
<|end_body_0|>
<|body_start_1|>
if init in self._str2fun:
return self._str2fun[init]
else:
... | Manage initializer. We need to convert built-in frame initializer to strings and send them to the graph store server through RPC. Through the conversion, we need to convert local built-in initializer to shared-memory initializer. | InitializerManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InitializerManager:
"""Manage initializer. We need to convert built-in frame initializer to strings and send them to the graph store server through RPC. Through the conversion, we need to convert local built-in initializer to shared-memory initializer."""
def serialize(self, init):
"... | stack_v2_sparse_classes_36k_train_034856 | 40,469 | permissive | [
{
"docstring": "Convert the initializer function to string. Parameters ---------- init : callable the initializer function. Returns ------ string The name of the built-in initializer function.",
"name": "serialize",
"signature": "def serialize(self, init)"
},
{
"docstring": "Convert the string t... | 2 | stack_v2_sparse_classes_30k_train_005041 | Implement the Python class `InitializerManager` described below.
Class description:
Manage initializer. We need to convert built-in frame initializer to strings and send them to the graph store server through RPC. Through the conversion, we need to convert local built-in initializer to shared-memory initializer.
Meth... | Implement the Python class `InitializerManager` described below.
Class description:
Manage initializer. We need to convert built-in frame initializer to strings and send them to the graph store server through RPC. Through the conversion, we need to convert local built-in initializer to shared-memory initializer.
Meth... | 195f99362d883f8b6d131b70a7868a537e55b786 | <|skeleton|>
class InitializerManager:
"""Manage initializer. We need to convert built-in frame initializer to strings and send them to the graph store server through RPC. Through the conversion, we need to convert local built-in initializer to shared-memory initializer."""
def serialize(self, init):
"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InitializerManager:
"""Manage initializer. We need to convert built-in frame initializer to strings and send them to the graph store server through RPC. Through the conversion, we need to convert local built-in initializer to shared-memory initializer."""
def serialize(self, init):
"""Convert the... | the_stack_v2_python_sparse | python/dgl/contrib/graph_store.py | hengruizhang98/dgl | train | 3 |
4bd055cb4e97dbe890feea524825af93a150e07b | [
"self.arr = []\nself.d = {}\nself.size = 0",
"self.size += 1\nif timestamp not in self.d:\n self.arr.append(timestamp)\n self.d[timestamp] = self.size\nelse:\n self.d[timestamp] += 1",
"if not self.arr:\n return 0\nstart = 0\nstop = len(self.arr) - 1\nwhile start + 1 < stop:\n mid = (start + stop... | <|body_start_0|>
self.arr = []
self.d = {}
self.size = 0
<|end_body_0|>
<|body_start_1|>
self.size += 1
if timestamp not in self.d:
self.arr.append(timestamp)
self.d[timestamp] = self.size
else:
self.d[timestamp] += 1
<|end_body_1|>
<... | HitCounter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HitCounter:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def hit(self, timestamp: int) -> None:
"""Record a hit. @param timestamp - The current timestamp (in seconds granularity)."""
<|body_1|>
def getHits(self, timestamp: in... | stack_v2_sparse_classes_36k_train_034857 | 2,328 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Record a hit. @param timestamp - The current timestamp (in seconds granularity).",
"name": "hit",
"signature": "def hit(self, timestamp: int) -> None"
},
{
... | 3 | null | Implement the Python class `HitCounter` described below.
Class description:
Implement the HitCounter class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def hit(self, timestamp: int) -> None: Record a hit. @param timestamp - The current timestamp (in seconds granulari... | Implement the Python class `HitCounter` described below.
Class description:
Implement the HitCounter class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def hit(self, timestamp: int) -> None: Record a hit. @param timestamp - The current timestamp (in seconds granulari... | c937fe19be665ba7ac345e1729ff531f370f30e8 | <|skeleton|>
class HitCounter:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def hit(self, timestamp: int) -> None:
"""Record a hit. @param timestamp - The current timestamp (in seconds granularity)."""
<|body_1|>
def getHits(self, timestamp: in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HitCounter:
def __init__(self):
"""Initialize your data structure here."""
self.arr = []
self.d = {}
self.size = 0
def hit(self, timestamp: int) -> None:
"""Record a hit. @param timestamp - The current timestamp (in seconds granularity)."""
self.size += 1
... | the_stack_v2_python_sparse | google/designHitCounter.py | nguyenngochuy91/companyQuestions | train | 1 | |
712b7de089d6ba04f6d241b1ea0ea3c5328c401a | [
"gAEAttrPresetCurrentTarget = mel.eval('$tmpVar=$gAEAttrPresetCurrentTarget;')\ngAEAttrPresetBlend = mel.eval('$tmpVar=$gAEAttrPresetBlend;')\nntype = cmds.nodeType(node)\nppath = cmds.internalVar(userPrefDir=True)\nif presetName[-4:] == '.mel':\n ppath = presetName\nelse:\n ppath = ppath.replace('prefs', 'pr... | <|body_start_0|>
gAEAttrPresetCurrentTarget = mel.eval('$tmpVar=$gAEAttrPresetCurrentTarget;')
gAEAttrPresetBlend = mel.eval('$tmpVar=$gAEAttrPresetBlend;')
ntype = cmds.nodeType(node)
ppath = cmds.internalVar(userPrefDir=True)
if presetName[-4:] == '.mel':
ppath = pr... | Helper class for finding attribute presets and reading them | fn_attr | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class fn_attr:
"""Helper class for finding attribute presets and reading them"""
def applyAttrPreset(node, presetName, blend):
"""Apply the named preset to the given node."""
<|body_0|>
def findAttrPresets(node):
"""Build a list of attribute presets for the given node ... | stack_v2_sparse_classes_36k_train_034858 | 2,296 | no_license | [
{
"docstring": "Apply the named preset to the given node.",
"name": "applyAttrPreset",
"signature": "def applyAttrPreset(node, presetName, blend)"
},
{
"docstring": "Build a list of attribute presets for the given node (the node's type is determined first)",
"name": "findAttrPresets",
"s... | 2 | stack_v2_sparse_classes_30k_train_019644 | Implement the Python class `fn_attr` described below.
Class description:
Helper class for finding attribute presets and reading them
Method signatures and docstrings:
- def applyAttrPreset(node, presetName, blend): Apply the named preset to the given node.
- def findAttrPresets(node): Build a list of attribute preset... | Implement the Python class `fn_attr` described below.
Class description:
Helper class for finding attribute presets and reading them
Method signatures and docstrings:
- def applyAttrPreset(node, presetName, blend): Apply the named preset to the given node.
- def findAttrPresets(node): Build a list of attribute preset... | 3891e40c3c4c3a054e5ff1ff16d051d4e690cc4a | <|skeleton|>
class fn_attr:
"""Helper class for finding attribute presets and reading them"""
def applyAttrPreset(node, presetName, blend):
"""Apply the named preset to the given node."""
<|body_0|>
def findAttrPresets(node):
"""Build a list of attribute presets for the given node ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class fn_attr:
"""Helper class for finding attribute presets and reading them"""
def applyAttrPreset(node, presetName, blend):
"""Apply the named preset to the given node."""
gAEAttrPresetCurrentTarget = mel.eval('$tmpVar=$gAEAttrPresetCurrentTarget;')
gAEAttrPresetBlend = mel.eval('$tm... | the_stack_v2_python_sparse | luxPlugin/Lux/LuxMiscModules/fn_attr.py | LuxRender/LuxMaya | train | 0 |
10a992aa6aa356853d8348f4d7521e65ae6bb39b | [
"mock_client = Taxii2FeedClient(url='', collection_to_fetch='', proxies=[], verify=False, objects_to_fetch=[])\nmock_client.init_server()\nassert isinstance(mock_client.server, v20.Server)",
"mock_client = Taxii2FeedClient(url='', collection_to_fetch='', proxies=[], verify=False, objects_to_fetch=[])\nmock_client... | <|body_start_0|>
mock_client = Taxii2FeedClient(url='', collection_to_fetch='', proxies=[], verify=False, objects_to_fetch=[])
mock_client.init_server()
assert isinstance(mock_client.server, v20.Server)
<|end_body_0|>
<|body_start_1|>
mock_client = Taxii2FeedClient(url='', collection_to... | Scenario: Initialize server | TestInitServer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestInitServer:
"""Scenario: Initialize server"""
def test_default_v20(self):
"""Scenario: Intialize server with the default option Given: - no version is provided to init_server Then: - initalize with v20.Server"""
<|body_0|>
def test_v21(self):
"""Scenario: Int... | stack_v2_sparse_classes_36k_train_034859 | 15,321 | permissive | [
{
"docstring": "Scenario: Intialize server with the default option Given: - no version is provided to init_server Then: - initalize with v20.Server",
"name": "test_default_v20",
"signature": "def test_default_v20(self)"
},
{
"docstring": "Scenario: Intialize server with v21 Given: - v21 version ... | 3 | null | Implement the Python class `TestInitServer` described below.
Class description:
Scenario: Initialize server
Method signatures and docstrings:
- def test_default_v20(self): Scenario: Intialize server with the default option Given: - no version is provided to init_server Then: - initalize with v20.Server
- def test_v21... | Implement the Python class `TestInitServer` described below.
Class description:
Scenario: Initialize server
Method signatures and docstrings:
- def test_default_v20(self): Scenario: Intialize server with the default option Given: - no version is provided to init_server Then: - initalize with v20.Server
- def test_v21... | 01b57f8c658c2faed047313d3034e8052ffa83ce | <|skeleton|>
class TestInitServer:
"""Scenario: Initialize server"""
def test_default_v20(self):
"""Scenario: Intialize server with the default option Given: - no version is provided to init_server Then: - initalize with v20.Server"""
<|body_0|>
def test_v21(self):
"""Scenario: Int... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestInitServer:
"""Scenario: Initialize server"""
def test_default_v20(self):
"""Scenario: Intialize server with the default option Given: - no version is provided to init_server Then: - initalize with v20.Server"""
mock_client = Taxii2FeedClient(url='', collection_to_fetch='', proxies=[]... | the_stack_v2_python_sparse | Packs/ApiModules/Scripts/TAXII2ApiModule/TAXII2ApiModule_test.py | adambaumeister/content | train | 2 |
d0565f83db422e3d3436761b64934a05366ebf17 | [
"value = '<div>'\nclase = 'actions'\ncontexto = ''\nperm_mod = PoseePermiso('modificar rol')\nperm_del = PoseePermiso('eliminar rol')\nurl_cont = '/rolesplantilla/'\ntipo = obj.tipo.lower()\nif tipo.find(u'proyecto') >= 0:\n contexto = 'proyecto'\nelif tipo.find(u'fase') >= 0:\n contexto = 'fase'\nelse:\n ... | <|body_start_0|>
value = '<div>'
clase = 'actions'
contexto = ''
perm_mod = PoseePermiso('modificar rol')
perm_del = PoseePermiso('eliminar rol')
url_cont = '/rolesplantilla/'
tipo = obj.tipo.lower()
if tipo.find(u'proyecto') >= 0:
contexto = '... | RolPlantillaTableFiller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RolPlantillaTableFiller:
def __actions__(self, obj):
"""Links de acciones para un registro dado"""
<|body_0|>
def _do_get_provider_count_and_objs(self, **kw):
"""Se muestra la lista de rol si se tiene un permiso necesario. Caso contrario le muestra sus roles."""
... | stack_v2_sparse_classes_36k_train_034860 | 31,597 | no_license | [
{
"docstring": "Links de acciones para un registro dado",
"name": "__actions__",
"signature": "def __actions__(self, obj)"
},
{
"docstring": "Se muestra la lista de rol si se tiene un permiso necesario. Caso contrario le muestra sus roles.",
"name": "_do_get_provider_count_and_objs",
"si... | 2 | stack_v2_sparse_classes_30k_train_018085 | Implement the Python class `RolPlantillaTableFiller` described below.
Class description:
Implement the RolPlantillaTableFiller class.
Method signatures and docstrings:
- def __actions__(self, obj): Links de acciones para un registro dado
- def _do_get_provider_count_and_objs(self, **kw): Se muestra la lista de rol si... | Implement the Python class `RolPlantillaTableFiller` described below.
Class description:
Implement the RolPlantillaTableFiller class.
Method signatures and docstrings:
- def __actions__(self, obj): Links de acciones para un registro dado
- def _do_get_provider_count_and_objs(self, **kw): Se muestra la lista de rol si... | 997531e130d1951b483f4a6a67f2df7467cd9fd1 | <|skeleton|>
class RolPlantillaTableFiller:
def __actions__(self, obj):
"""Links de acciones para un registro dado"""
<|body_0|>
def _do_get_provider_count_and_objs(self, **kw):
"""Se muestra la lista de rol si se tiene un permiso necesario. Caso contrario le muestra sus roles."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RolPlantillaTableFiller:
def __actions__(self, obj):
"""Links de acciones para un registro dado"""
value = '<div>'
clase = 'actions'
contexto = ''
perm_mod = PoseePermiso('modificar rol')
perm_del = PoseePermiso('eliminar rol')
url_cont = '/rolesplantill... | the_stack_v2_python_sparse | lpm/controllers/rol.py | jorgeramirez/LPM | train | 1 | |
d8e7f21617294b53a94ba68b60afa9c53fde879d | [
"pivot = len(nums) - 1\nfor i in range(len(nums) - 1):\n if nums[i] > nums[i + 1]:\n pivot = i\nif nums == [] or target > nums[pivot] or target < nums[(pivot + 1) % len(nums)]:\n return False\nif target >= nums[0]:\n l = 0\n r = pivot\n return self.binarySearch(target, nums, l, r)\nelif target... | <|body_start_0|>
pivot = len(nums) - 1
for i in range(len(nums) - 1):
if nums[i] > nums[i + 1]:
pivot = i
if nums == [] or target > nums[pivot] or target < nums[(pivot + 1) % len(nums)]:
return False
if target >= nums[0]:
l = 0
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def binarySearch(self, target, nums, l, r):
""":type nums: List[int] :type target: int :rtyep: int (index of target in the nums)"""
<|body_1|>
<|en... | stack_v2_sparse_classes_36k_train_034861 | 1,257 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "search",
"signature": "def search(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtyep: int (index of target in the nums)",
"name": "binarySearch",
"signature": "def binarySea... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def binarySearch(self, target, nums, l, r): :type nums: List[int] :type target: int :rtyep: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def search(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def binarySearch(self, target, nums, l, r): :type nums: List[int] :type target: int :rtyep: ... | a6d0e392134afe19d1aed2dfe7914b674e05ecc6 | <|skeleton|>
class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def binarySearch(self, target, nums, l, r):
""":type nums: List[int] :type target: int :rtyep: int (index of target in the nums)"""
<|body_1|>
<|en... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def search(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
pivot = len(nums) - 1
for i in range(len(nums) - 1):
if nums[i] > nums[i + 1]:
pivot = i
if nums == [] or target > nums[pivot] or target < nums[(pivot... | the_stack_v2_python_sparse | 81SrchRtatStr.py | Ting007/leetcodePractice | train | 0 | |
cd47aff80484e8c62e3d00e6396d5386f14d1fa9 | [
"ruleTableName = 'Rule %s %s' % (indicatorTable, indicatorRule)\nRule.__init__(self, ruleTableName)\nself._selectQuery = 'select Date, Code, %s as Match from %s' % (indicatorRule, indicatorTable)",
"self._tickerCode = tickerCode\nstart = self._getLatestDate()\nLogger.log(logging.INFO, 'Evaluating Rule', {'scope':... | <|body_start_0|>
ruleTableName = 'Rule %s %s' % (indicatorTable, indicatorRule)
Rule.__init__(self, ruleTableName)
self._selectQuery = 'select Date, Code, %s as Match from %s' % (indicatorRule, indicatorTable)
<|end_body_0|>
<|body_start_1|>
self._tickerCode = tickerCode
start =... | Simple Rule Class. | SimpleRule | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleRule:
"""Simple Rule Class."""
def __init__(self, indicatorTable, indicatorRule):
"""Class Constructor. :param ?"""
<|body_0|>
def evaluateRule(self, tickerCode):
"""?."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ruleTableName = 'Rule ... | stack_v2_sparse_classes_36k_train_034862 | 1,528 | no_license | [
{
"docstring": "Class Constructor. :param ?",
"name": "__init__",
"signature": "def __init__(self, indicatorTable, indicatorRule)"
},
{
"docstring": "?.",
"name": "evaluateRule",
"signature": "def evaluateRule(self, tickerCode)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010958 | Implement the Python class `SimpleRule` described below.
Class description:
Simple Rule Class.
Method signatures and docstrings:
- def __init__(self, indicatorTable, indicatorRule): Class Constructor. :param ?
- def evaluateRule(self, tickerCode): ?. | Implement the Python class `SimpleRule` described below.
Class description:
Simple Rule Class.
Method signatures and docstrings:
- def __init__(self, indicatorTable, indicatorRule): Class Constructor. :param ?
- def evaluateRule(self, tickerCode): ?.
<|skeleton|>
class SimpleRule:
"""Simple Rule Class."""
d... | 08b07b50ead69decd381cf5f866f4d8ffb80fa54 | <|skeleton|>
class SimpleRule:
"""Simple Rule Class."""
def __init__(self, indicatorTable, indicatorRule):
"""Class Constructor. :param ?"""
<|body_0|>
def evaluateRule(self, tickerCode):
"""?."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SimpleRule:
"""Simple Rule Class."""
def __init__(self, indicatorTable, indicatorRule):
"""Class Constructor. :param ?"""
ruleTableName = 'Rule %s %s' % (indicatorTable, indicatorRule)
Rule.__init__(self, ruleTableName)
self._selectQuery = 'select Date, Code, %s as Match f... | the_stack_v2_python_sparse | pyswing/objects/rules/simpleRule.py | garyjoy/pyswing | train | 1 |
afe0d9490691e77ae33bc2729289bbbc67ce7260 | [
"if not root:\n return 'None'\nleft = self.serialize(root.left)\nright = self.serialize(root.right)\nreturn str(root.val) + ',' + left + ',' + right",
"tree_list = data.split(',')\ntree_list = tree_list[::-1]\n\ndef preorder():\n curr_val = tree_list.pop()\n if curr_val == 'None':\n return\n no... | <|body_start_0|>
if not root:
return 'None'
left = self.serialize(root.left)
right = self.serialize(root.right)
return str(root.val) + ',' + left + ',' + right
<|end_body_0|>
<|body_start_1|>
tree_list = data.split(',')
tree_list = tree_list[::-1]
de... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_034863 | 1,363 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_004146 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | b6589ede25aa20ee96b20ed65f0cb7459c740034 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return 'None'
left = self.serialize(root.left)
right = self.serialize(root.right)
return str(root.val) + ',' + left + ',' + right
de... | the_stack_v2_python_sparse | Serialize_Deserialize_BT.py | akarshn95/Coding_Challenges | train | 0 | |
e7ad0b40810b8e714729951a8dfef37fc332b4a8 | [
"super().__init__(mol, cuda)\nself.order = order\nself.fc = nn.Linear(order, 1, bias=False)\nself.fc.weight.data *= 0.0\nself.fc.weight.data[0, 0] = 1.0\nself.weight = nn.Parameter(torch.as_tensor([0.001]))",
"eye = torch.eye(self.nelec, self.nelec).to(self.device)\nmask = torch.ones_like(ree) - eye\nreturn self.... | <|body_start_0|>
super().__init__(mol, cuda)
self.order = order
self.fc = nn.Linear(order, 1, bias=False)
self.fc.weight.data *= 0.0
self.fc.weight.data[0, 0] = 1.0
self.weight = nn.Parameter(torch.as_tensor([0.001]))
<|end_body_0|>
<|body_start_1|>
eye = torch.e... | BackFlowKernelAutoInverse | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackFlowKernelAutoInverse:
def __init__(self, mol, cuda, order=2):
"""Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\sum_{j\\neq i} f(r_{ij}) (r_i-r_j)"""
... | stack_v2_sparse_classes_36k_train_034864 | 1,085 | permissive | [
{
"docstring": "Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\\\sum_{j\\\\neq i} f(r_{ij}) (r_i-r_j)",
"name": "__init__",
"signature": "def __init__(self, mol, cuda, ord... | 2 | null | Implement the Python class `BackFlowKernelAutoInverse` described below.
Class description:
Implement the BackFlowKernelAutoInverse class.
Method signatures and docstrings:
- def __init__(self, mol, cuda, order=2): Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and ... | Implement the Python class `BackFlowKernelAutoInverse` described below.
Class description:
Implement the BackFlowKernelAutoInverse class.
Method signatures and docstrings:
- def __init__(self, mol, cuda, order=2): Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and ... | 439a79e97ee63057e3032d28a1a5ebafd2d5b5e4 | <|skeleton|>
class BackFlowKernelAutoInverse:
def __init__(self, mol, cuda, order=2):
"""Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\sum_{j\\neq i} f(r_{ij}) (r_i-r_j)"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BackFlowKernelAutoInverse:
def __init__(self, mol, cuda, order=2):
"""Compute the back flow kernel, i.e. the function f(rij) where rij is the distance between electron i and j This kernel is used in the backflow transformation .. math: q_i = r_i + \\sum_{j\\neq i} f(r_{ij}) (r_i-r_j)"""
super(... | the_stack_v2_python_sparse | qmctorch/wavefunction/orbitals/backflow/kernels/backflow_kernel_autodiff_inverse.py | NLESC-JCER/QMCTorch | train | 22 | |
05cb529d49bae0a53ce68bf302aa96207362aaca | [
"fast, slow = (head, head)\nwhile fast and fast.next:\n fast = fast.next.next\n slow = slow.next\n if fast == slow:\n start = head\n while start.next:\n if slow == start:\n return start\n start = start.next\n slow = slow.next\nreturn None",
"n... | <|body_start_0|>
fast, slow = (head, head)
while fast and fast.next:
fast = fast.next.next
slow = slow.next
if fast == slow:
start = head
while start.next:
if slow == start:
return start
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def detectCycle(self, head: ListNode) -> ListNode:
"""1. 快慢指针： 入环点的位置为 r，fast、slow 两个指针在环 a 处相遇，环长度 a+b slow 移动长度 l1=r+a，则 fast 移动长度 l2=r+a+b+a，l2=2*l1-->r=b"""
<|body_0|>
def detectCycle2(self, head: ListNode) -> ListNode:
"""2. 集合保存访问过的节点，额外的空间 O(N)"""
... | stack_v2_sparse_classes_36k_train_034865 | 2,631 | no_license | [
{
"docstring": "1. 快慢指针： 入环点的位置为 r，fast、slow 两个指针在环 a 处相遇，环长度 a+b slow 移动长度 l1=r+a，则 fast 移动长度 l2=r+a+b+a，l2=2*l1-->r=b",
"name": "detectCycle",
"signature": "def detectCycle(self, head: ListNode) -> ListNode"
},
{
"docstring": "2. 集合保存访问过的节点，额外的空间 O(N)",
"name": "detectCycle2",
"signatu... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head: ListNode) -> ListNode: 1. 快慢指针： 入环点的位置为 r，fast、slow 两个指针在环 a 处相遇，环长度 a+b slow 移动长度 l1=r+a，则 fast 移动长度 l2=r+a+b+a，l2=2*l1-->r=b
- def detectCycle2(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head: ListNode) -> ListNode: 1. 快慢指针： 入环点的位置为 r，fast、slow 两个指针在环 a 处相遇，环长度 a+b slow 移动长度 l1=r+a，则 fast 移动长度 l2=r+a+b+a，l2=2*l1-->r=b
- def detectCycle2(self... | 4732fb80710a08a715c3e7080c394f5298b8326d | <|skeleton|>
class Solution:
def detectCycle(self, head: ListNode) -> ListNode:
"""1. 快慢指针： 入环点的位置为 r，fast、slow 两个指针在环 a 处相遇，环长度 a+b slow 移动长度 l1=r+a，则 fast 移动长度 l2=r+a+b+a，l2=2*l1-->r=b"""
<|body_0|>
def detectCycle2(self, head: ListNode) -> ListNode:
"""2. 集合保存访问过的节点，额外的空间 O(N)"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def detectCycle(self, head: ListNode) -> ListNode:
"""1. 快慢指针： 入环点的位置为 r，fast、slow 两个指针在环 a 处相遇，环长度 a+b slow 移动长度 l1=r+a，则 fast 移动长度 l2=r+a+b+a，l2=2*l1-->r=b"""
fast, slow = (head, head)
while fast and fast.next:
fast = fast.next.next
slow = slow.next
... | the_stack_v2_python_sparse | 02-linkedlist/142.环形链表-ii.py | xiaoruijiang/algorithm | train | 0 | |
0c8661e80ae8379e9693192cb33d3275e81c71de | [
"RadianceDefault.__init__(self, name, descriptive_name)\nself._relative_path = relative_path\nself._check_exists = check_exists\nself._extension = extension",
"if value is not None:\n value = str(value)\n assert isinstance(value, str), 'The input for %s should be string containing the path name. %s %s was p... | <|body_start_0|>
RadianceDefault.__init__(self, name, descriptive_name)
self._relative_path = relative_path
self._check_exists = check_exists
self._extension = extension
<|end_body_0|>
<|body_start_1|>
if value is not None:
value = str(value)
assert isins... | This input is expected to be a file path. (Attributes inherited from base-class are explained there.) Attributes: name: Required for all cases. Name of the flag, like 'ab' for '-ab 5' in rtrace etc. Note that some of the radiance flags are actually keywords in python. For example -or in rcollate or -as in rtrace. In su... | RadiancePath | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RadiancePath:
"""This input is expected to be a file path. (Attributes inherited from base-class are explained there.) Attributes: name: Required for all cases. Name of the flag, like 'ab' for '-ab 5' in rtrace etc. Note that some of the radiance flags are actually keywords in python. For example... | stack_v2_sparse_classes_36k_train_034866 | 32,374 | no_license | [
{
"docstring": "Init path descriptor.",
"name": "__init__",
"signature": "def __init__(self, name, descriptive_name=None, relative_path=None, check_exists=False, extension=None)"
},
{
"docstring": "Set the value. Run tests based on _expandRelative, _check_exists and _extension before assigning t... | 2 | stack_v2_sparse_classes_30k_train_017590 | Implement the Python class `RadiancePath` described below.
Class description:
This input is expected to be a file path. (Attributes inherited from base-class are explained there.) Attributes: name: Required for all cases. Name of the flag, like 'ab' for '-ab 5' in rtrace etc. Note that some of the radiance flags are a... | Implement the Python class `RadiancePath` described below.
Class description:
This input is expected to be a file path. (Attributes inherited from base-class are explained there.) Attributes: name: Required for all cases. Name of the flag, like 'ab' for '-ab 5' in rtrace etc. Note that some of the radiance flags are a... | 5be53caaf412d247ca88c90ebe4e193b2ff7a780 | <|skeleton|>
class RadiancePath:
"""This input is expected to be a file path. (Attributes inherited from base-class are explained there.) Attributes: name: Required for all cases. Name of the flag, like 'ab' for '-ab 5' in rtrace etc. Note that some of the radiance flags are actually keywords in python. For example... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RadiancePath:
"""This input is expected to be a file path. (Attributes inherited from base-class are explained there.) Attributes: name: Required for all cases. Name of the flag, like 'ab' for '-ab 5' in rtrace etc. Note that some of the radiance flags are actually keywords in python. For example -or in rcoll... | the_stack_v2_python_sparse | honeybee/radiance/datatype.py | ladybug-tools/honeybee-anvil | train | 0 |
173fc93ae5b885d7d7a00b818edeae5f0a9fde72 | [
"self.name = 'Burstiness'\nself.improvement = improvement\nsuper(Burstiness, self).__init__(self.name, mean_trajectories, use_logger)\nif self.use_logger:\n self.logger = ml.SciopeLogger().get_logger()\n self.logger.info('Burstiness summary statistic initialized')",
"trajs = []\nfor i in range(np.shape(data... | <|body_start_0|>
self.name = 'Burstiness'
self.improvement = improvement
super(Burstiness, self).__init__(self.name, mean_trajectories, use_logger)
if self.use_logger:
self.logger = ml.SciopeLogger().get_logger()
self.logger.info('Burstiness summary statistic init... | Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu) Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008. | Burstiness | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Burstiness:
"""Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu) Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008."""
def __init__(self, mean_trajectories=False, improvement=False, use_logger=False):
"""[summary] Parameters ---------- ... | stack_v2_sparse_classes_36k_train_034867 | 3,856 | permissive | [
{
"docstring": "[summary] Parameters ---------- mean_trajectories : bool, optional [description], by default True improvement : bool, optional [description], by default False",
"name": "__init__",
"signature": "def __init__(self, mean_trajectories=False, improvement=False, use_logger=False)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_019734 | Implement the Python class `Burstiness` described below.
Class description:
Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu) Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008.
Method signatures and docstrings:
- def __init__(self, mean_trajectories=False, improvement=F... | Implement the Python class `Burstiness` described below.
Class description:
Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu) Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008.
Method signatures and docstrings:
- def __init__(self, mean_trajectories=False, improvement=F... | 5122107dedcee9c39458e83d853ec35f91268780 | <|skeleton|>
class Burstiness:
"""Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu) Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008."""
def __init__(self, mean_trajectories=False, improvement=False, use_logger=False):
"""[summary] Parameters ---------- ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Burstiness:
"""Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu) Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008."""
def __init__(self, mean_trajectories=False, improvement=False, use_logger=False):
"""[summary] Parameters ---------- mean_trajecto... | the_stack_v2_python_sparse | sciope/utilities/summarystats/burstiness.py | rmjiang7/sciope | train | 0 |
01937a48602655b93701941497a9605e4d6d02e1 | [
"fsm = cls.FSM[operator_type]\nnext_state_info = fsm.get((current_status, event), None)\nreturn next_state_info",
"if current_status is None:\n current_status = shop.status if shop.status else cls.STATUS_INIT\nnext_state = cls.get_next_state(operator_type, current_status, event)\nnext_status = next_state['next... | <|body_start_0|>
fsm = cls.FSM[operator_type]
next_state_info = fsm.get((current_status, event), None)
return next_state_info
<|end_body_0|>
<|body_start_1|>
if current_status is None:
current_status = shop.status if shop.status else cls.STATUS_INIT
next_state = cls.... | 商户有限状态机 | ShopFSM | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShopFSM:
"""商户有限状态机"""
def get_next_state(cls, operator_type, current_status, event):
"""获取下一状态 :param operator_type: 'OUTSIDE'/'FE_INSIDE' :param current_status: 当前状态 :param event: 条件 :return: 如果返回None表示错误状态或条件"""
<|body_0|>
def update_status(cls, operator_type, shop, e... | stack_v2_sparse_classes_36k_train_034868 | 6,677 | permissive | [
{
"docstring": "获取下一状态 :param operator_type: 'OUTSIDE'/'FE_INSIDE' :param current_status: 当前状态 :param event: 条件 :return: 如果返回None表示错误状态或条件",
"name": "get_next_state",
"signature": "def get_next_state(cls, operator_type, current_status, event)"
},
{
"docstring": "更新对象的状态 :param operator_type: 'OU... | 2 | stack_v2_sparse_classes_30k_train_017623 | Implement the Python class `ShopFSM` described below.
Class description:
商户有限状态机
Method signatures and docstrings:
- def get_next_state(cls, operator_type, current_status, event): 获取下一状态 :param operator_type: 'OUTSIDE'/'FE_INSIDE' :param current_status: 当前状态 :param event: 条件 :return: 如果返回None表示错误状态或条件
- def update_st... | Implement the Python class `ShopFSM` described below.
Class description:
商户有限状态机
Method signatures and docstrings:
- def get_next_state(cls, operator_type, current_status, event): 获取下一状态 :param operator_type: 'OUTSIDE'/'FE_INSIDE' :param current_status: 当前状态 :param event: 条件 :return: 如果返回None表示错误状态或条件
- def update_st... | a7c9567975b5372b2edabddb0fec8d73bc01c3dc | <|skeleton|>
class ShopFSM:
"""商户有限状态机"""
def get_next_state(cls, operator_type, current_status, event):
"""获取下一状态 :param operator_type: 'OUTSIDE'/'FE_INSIDE' :param current_status: 当前状态 :param event: 条件 :return: 如果返回None表示错误状态或条件"""
<|body_0|>
def update_status(cls, operator_type, shop, e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ShopFSM:
"""商户有限状态机"""
def get_next_state(cls, operator_type, current_status, event):
"""获取下一状态 :param operator_type: 'OUTSIDE'/'FE_INSIDE' :param current_status: 当前状态 :param event: 条件 :return: 如果返回None表示错误状态或条件"""
fsm = cls.FSM[operator_type]
next_state_info = fsm.get((current_st... | the_stack_v2_python_sparse | Dispatcher/data_and_service/shop/model_logics/fsm.py | cash2one/Logistics | train | 0 |
5a72f648c91433466e9fcaeca14595ef16a158db | [
"super(FSSD, self).__init__(p, alpha)\nself.k = k\nself.V = V\nself.null_sim = null_sim",
"alpha = self.alpha\nnull_sim = self.null_sim\nn_simulate = null_sim.n_simulate\nn = X.shape[0]\nJ = self.V.shape[0]\nnfssd, fea_tensor = self.statistic(X, return_feature_tensor=True)\nsim_results = null_sim.simulate(self, X... | <|body_start_0|>
super(FSSD, self).__init__(p, alpha)
self.k = k
self.V = V
self.null_sim = null_sim
<|end_body_0|>
<|body_start_1|>
alpha = self.alpha
null_sim = self.null_sim
n_simulate = null_sim.n_simulate
n = X.shape[0]
J = self.V.shape[0]
... | Goodness-of-fit test using The Finite Set Stein Discrepancy statistic. and a set of paired test locations. The statistic is n*FSSD^2. The statistic can be negative because of the unbiased estimator. :math:`H0` : the sample follows :math:`p` :math:`H1` : the sample does not follow :math:`p` :math:`p` is specified to the... | FSSD | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FSSD:
"""Goodness-of-fit test using The Finite Set Stein Discrepancy statistic. and a set of paired test locations. The statistic is n*FSSD^2. The statistic can be negative because of the unbiased estimator. :math:`H0` : the sample follows :math:`p` :math:`H1` : the sample does not follow :math:`... | stack_v2_sparse_classes_36k_train_034869 | 16,140 | permissive | [
{
"docstring": "Parameters ---------- p : an instance of UnnormalizedDensity k : a DifferentiableKernel object V : J x dx numpy array of J locations to test the difference null_sim : an instance of H0Simulator for simulating from the null distribution. alpha : significance level",
"name": "__init__",
"s... | 5 | stack_v2_sparse_classes_30k_train_009099 | Implement the Python class `FSSD` described below.
Class description:
Goodness-of-fit test using The Finite Set Stein Discrepancy statistic. and a set of paired test locations. The statistic is n*FSSD^2. The statistic can be negative because of the unbiased estimator. :math:`H0` : the sample follows :math:`p` :math:`H... | Implement the Python class `FSSD` described below.
Class description:
Goodness-of-fit test using The Finite Set Stein Discrepancy statistic. and a set of paired test locations. The statistic is n*FSSD^2. The statistic can be negative because of the unbiased estimator. :math:`H0` : the sample follows :math:`p` :math:`H... | 9e7fc39f215a7f2b9174ab02bcf71a36067d7e19 | <|skeleton|>
class FSSD:
"""Goodness-of-fit test using The Finite Set Stein Discrepancy statistic. and a set of paired test locations. The statistic is n*FSSD^2. The statistic can be negative because of the unbiased estimator. :math:`H0` : the sample follows :math:`p` :math:`H1` : the sample does not follow :math:`... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FSSD:
"""Goodness-of-fit test using The Finite Set Stein Discrepancy statistic. and a set of paired test locations. The statistic is n*FSSD^2. The statistic can be negative because of the unbiased estimator. :math:`H0` : the sample follows :math:`p` :math:`H1` : the sample does not follow :math:`p` :math:`p` ... | the_stack_v2_python_sparse | hyppo/kgof/fssd.py | neurodata/hyppo | train | 186 |
0ab52e6d5942aa0bb88658c59359233b6d7a637f | [
"if context is None:\n context = {}\nres = super(stock_inventory_merge, self).fields_view_get(cr, uid, view_id=view_id, view_type=view_type, context=context, toolbar=toolbar, submenu=False)\nif context.get('active_model', '') == 'stock.inventory' and len(context['active_ids']) < 2:\n raise osv.except_osv(_('W... | <|body_start_0|>
if context is None:
context = {}
res = super(stock_inventory_merge, self).fields_view_get(cr, uid, view_id=view_id, view_type=view_type, context=context, toolbar=toolbar, submenu=False)
if context.get('active_model', '') == 'stock.inventory' and len(context['active_i... | stock_inventory_merge | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class stock_inventory_merge:
def fields_view_get(self, cr, uid, view_id=None, view_type='form', context=None, toolbar=False, submenu=False):
"""Changes the view dynamically @param self: The object pointer. @param cr: A database cursor @param uid: ID of the user currently logged in @param conte... | stack_v2_sparse_classes_36k_train_034870 | 3,791 | no_license | [
{
"docstring": "Changes the view dynamically @param self: The object pointer. @param cr: A database cursor @param uid: ID of the user currently logged in @param context: A standard dictionary @return: New arch of view.",
"name": "fields_view_get",
"signature": "def fields_view_get(self, cr, uid, view_id... | 2 | stack_v2_sparse_classes_30k_train_011108 | Implement the Python class `stock_inventory_merge` described below.
Class description:
Implement the stock_inventory_merge class.
Method signatures and docstrings:
- def fields_view_get(self, cr, uid, view_id=None, view_type='form', context=None, toolbar=False, submenu=False): Changes the view dynamically @param self... | Implement the Python class `stock_inventory_merge` described below.
Class description:
Implement the stock_inventory_merge class.
Method signatures and docstrings:
- def fields_view_get(self, cr, uid, view_id=None, view_type='form', context=None, toolbar=False, submenu=False): Changes the view dynamically @param self... | e6b06ea17fa44e35e3c99a83c6f3ec433c33c894 | <|skeleton|>
class stock_inventory_merge:
def fields_view_get(self, cr, uid, view_id=None, view_type='form', context=None, toolbar=False, submenu=False):
"""Changes the view dynamically @param self: The object pointer. @param cr: A database cursor @param uid: ID of the user currently logged in @param conte... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class stock_inventory_merge:
def fields_view_get(self, cr, uid, view_id=None, view_type='form', context=None, toolbar=False, submenu=False):
"""Changes the view dynamically @param self: The object pointer. @param cr: A database cursor @param uid: ID of the user currently logged in @param context: A standard... | the_stack_v2_python_sparse | stock/wizard/stock_inventory_merge.py | rvalyi/openerp-addons | train | 2 | |
9b433925de3a69053df70c4fa8beb9a285498806 | [
"super().__init__(api, coordinator, name, dev_id, sensor)\nself._cooling_state = False\nself._heating_state = False",
"data = self._api.get_device_data(self._dev_id)\nif not data:\n _LOGGER.error('Received no data for device %s', self._entity_name)\n self.async_write_ha_state()\n return\nif data.get('hea... | <|body_start_0|>
super().__init__(api, coordinator, name, dev_id, sensor)
self._cooling_state = False
self._heating_state = False
<|end_body_0|>
<|body_start_1|>
data = self._api.get_device_data(self._dev_id)
if not data:
_LOGGER.error('Received no data for device %s... | Auxiliary Device Sensors. | PwAuxDeviceSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PwAuxDeviceSensor:
"""Auxiliary Device Sensors."""
def __init__(self, api, coordinator, name, dev_id, sensor):
"""Set up the Plugwise API."""
<|body_0|>
def _async_process_data(self):
"""Update the entity."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_034871 | 11,153 | permissive | [
{
"docstring": "Set up the Plugwise API.",
"name": "__init__",
"signature": "def __init__(self, api, coordinator, name, dev_id, sensor)"
},
{
"docstring": "Update the entity.",
"name": "_async_process_data",
"signature": "def _async_process_data(self)"
}
] | 2 | null | Implement the Python class `PwAuxDeviceSensor` described below.
Class description:
Auxiliary Device Sensors.
Method signatures and docstrings:
- def __init__(self, api, coordinator, name, dev_id, sensor): Set up the Plugwise API.
- def _async_process_data(self): Update the entity. | Implement the Python class `PwAuxDeviceSensor` described below.
Class description:
Auxiliary Device Sensors.
Method signatures and docstrings:
- def __init__(self, api, coordinator, name, dev_id, sensor): Set up the Plugwise API.
- def _async_process_data(self): Update the entity.
<|skeleton|>
class PwAuxDeviceSenso... | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | <|skeleton|>
class PwAuxDeviceSensor:
"""Auxiliary Device Sensors."""
def __init__(self, api, coordinator, name, dev_id, sensor):
"""Set up the Plugwise API."""
<|body_0|>
def _async_process_data(self):
"""Update the entity."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PwAuxDeviceSensor:
"""Auxiliary Device Sensors."""
def __init__(self, api, coordinator, name, dev_id, sensor):
"""Set up the Plugwise API."""
super().__init__(api, coordinator, name, dev_id, sensor)
self._cooling_state = False
self._heating_state = False
def _async_pr... | the_stack_v2_python_sparse | homeassistant/components/plugwise/sensor.py | BenWoodford/home-assistant | train | 11 |
0ae6229273ce5fbbde426a7c5fcdd788f95e287c | [
"self.factory = RequestFactory()\nself.user = User.objects.create(username='Abdullah', email='abd@gmail.com', password=\"Abdullah's passwd\")\nself.trip = Trip.objects.create(title='Summer Break', passenger=self.user, arrive_at='BOS', terminal='G')",
"get_request = self.factory.get('trips/2/')\nresponse = TripDet... | <|body_start_0|>
self.factory = RequestFactory()
self.user = User.objects.create(username='Abdullah', email='abd@gmail.com', password="Abdullah's passwd")
self.trip = Trip.objects.create(title='Summer Break', passenger=self.user, arrive_at='BOS', terminal='G')
<|end_body_0|>
<|body_start_1|>
... | Tests for the TripDetail view. | TripDetailTests | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TripDetailTests:
"""Tests for the TripDetail view."""
def setUp(self):
"""Instantiate RequestFactory, Trip, and User objects to pass requests to the TripDetail view. Parameters: self(TripDetailTests): the calling object Returns: None"""
<|body_0|>
def test_get_details_fo... | stack_v2_sparse_classes_36k_train_034872 | 10,206 | permissive | [
{
"docstring": "Instantiate RequestFactory, Trip, and User objects to pass requests to the TripDetail view. Parameters: self(TripDetailTests): the calling object Returns: None",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "A user sees instructions for a Trip on its details ... | 2 | stack_v2_sparse_classes_30k_train_011113 | Implement the Python class `TripDetailTests` described below.
Class description:
Tests for the TripDetail view.
Method signatures and docstrings:
- def setUp(self): Instantiate RequestFactory, Trip, and User objects to pass requests to the TripDetail view. Parameters: self(TripDetailTests): the calling object Returns... | Implement the Python class `TripDetailTests` described below.
Class description:
Tests for the TripDetail view.
Method signatures and docstrings:
- def setUp(self): Instantiate RequestFactory, Trip, and User objects to pass requests to the TripDetail view. Parameters: self(TripDetailTests): the calling object Returns... | 65d933c64a3bf830f51ac237f5781ddfb69f342c | <|skeleton|>
class TripDetailTests:
"""Tests for the TripDetail view."""
def setUp(self):
"""Instantiate RequestFactory, Trip, and User objects to pass requests to the TripDetail view. Parameters: self(TripDetailTests): the calling object Returns: None"""
<|body_0|>
def test_get_details_fo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TripDetailTests:
"""Tests for the TripDetail view."""
def setUp(self):
"""Instantiate RequestFactory, Trip, and User objects to pass requests to the TripDetail view. Parameters: self(TripDetailTests): the calling object Returns: None"""
self.factory = RequestFactory()
self.user = ... | the_stack_v2_python_sparse | travelly/trips/tests.py | UPstartDeveloper/fiercely-souvenir | train | 0 |
c3a8c7f4e389872df9d951fe78ea39b5b5daa9a1 | [
"self.surface = surface\nself.pos = pos\nself.color = color\nself.params = params\nself.radius, self.start_angle, self.stop_angle, self.width, self.speed = params\nself.framecount = 0\nself._draw()",
"step = math.pi / 180\ndirection = 1\nif self.stop_angle < self.start_angle:\n direction = -1\ninner = []\noute... | <|body_start_0|>
self.surface = surface
self.pos = pos
self.color = color
self.params = params
self.radius, self.start_angle, self.stop_angle, self.width, self.speed = params
self.framecount = 0
self._draw()
<|end_body_0|>
<|body_start_1|>
step = math.pi ... | Draw Superformula Object, most basic form static drawing | Arc | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Arc:
"""Draw Superformula Object, most basic form static drawing"""
def __init__(self, surface: pygame.Surface, pos: pygame.Vector2, color: tuple, params: list):
"""a particle in 2D space :param dim: dimensio of surface to draw on :param pos: position to set particle, center of parti... | stack_v2_sparse_classes_36k_train_034873 | 5,052 | no_license | [
{
"docstring": "a particle in 2D space :param dim: dimensio of surface to draw on :param pos: position to set particle, center of particle :param size: size of particle :param color: color of particle :param width of circle arc",
"name": "__init__",
"signature": "def __init__(self, surface: pygame.Surfa... | 3 | null | Implement the Python class `Arc` described below.
Class description:
Draw Superformula Object, most basic form static drawing
Method signatures and docstrings:
- def __init__(self, surface: pygame.Surface, pos: pygame.Vector2, color: tuple, params: list): a particle in 2D space :param dim: dimensio of surface to draw... | Implement the Python class `Arc` described below.
Class description:
Draw Superformula Object, most basic form static drawing
Method signatures and docstrings:
- def __init__(self, surface: pygame.Surface, pos: pygame.Vector2, color: tuple, params: list): a particle in 2D space :param dim: dimensio of surface to draw... | 1fd421195a2888c0588a49f5a043a1110eedcdbf | <|skeleton|>
class Arc:
"""Draw Superformula Object, most basic form static drawing"""
def __init__(self, surface: pygame.Surface, pos: pygame.Vector2, color: tuple, params: list):
"""a particle in 2D space :param dim: dimensio of surface to draw on :param pos: position to set particle, center of parti... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Arc:
"""Draw Superformula Object, most basic form static drawing"""
def __init__(self, surface: pygame.Surface, pos: pygame.Vector2, color: tuple, params: list):
"""a particle in 2D space :param dim: dimensio of surface to draw on :param pos: position to set particle, center of particle :param si... | the_stack_v2_python_sparse | effects/CircleArcs.py | gunny26/pygame | train | 5 |
2dbfc183a5864f6724f23a69cc44bc9a53a2156b | [
"res = {}\nfor rec in self:\n reserv_bed = 0\n for bed_line in rec.room_id.bed_ids:\n if bed_line.employee_id and bed_line.employee_id.emp_country_id.id and (rec.nationality_id.id == bed_line.employee_id.emp_country_id.id):\n reserv_bed += 1\n res[rec.id] = rec.number_of_quota - reserv_be... | <|body_start_0|>
res = {}
for rec in self:
reserv_bed = 0
for bed_line in rec.room_id.bed_ids:
if bed_line.employee_id and bed_line.employee_id.emp_country_id.id and (rec.nationality_id.id == bed_line.employee_id.emp_country_id.id):
reserv_bed ... | visa_quota | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class visa_quota:
def get_quota_available(self):
"""This method used to get total calculate of quota available ------------------------------------------------------------- @param self : Records set @multi : The decorator of multi"""
<|body_0|>
def unlink(self):
"""This me... | stack_v2_sparse_classes_36k_train_034874 | 24,603 | no_license | [
{
"docstring": "This method used to get total calculate of quota available ------------------------------------------------------------- @param self : Records set @multi : The decorator of multi",
"name": "get_quota_available",
"signature": "def get_quota_available(self)"
},
{
"docstring": "This... | 3 | stack_v2_sparse_classes_30k_train_015908 | Implement the Python class `visa_quota` described below.
Class description:
Implement the visa_quota class.
Method signatures and docstrings:
- def get_quota_available(self): This method used to get total calculate of quota available ------------------------------------------------------------- @param self : Records ... | Implement the Python class `visa_quota` described below.
Class description:
Implement the visa_quota class.
Method signatures and docstrings:
- def get_quota_available(self): This method used to get total calculate of quota available ------------------------------------------------------------- @param self : Records ... | 46e15330b5d642053da61754247f3fbf9d02717e | <|skeleton|>
class visa_quota:
def get_quota_available(self):
"""This method used to get total calculate of quota available ------------------------------------------------------------- @param self : Records set @multi : The decorator of multi"""
<|body_0|>
def unlink(self):
"""This me... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class visa_quota:
def get_quota_available(self):
"""This method used to get total calculate of quota available ------------------------------------------------------------- @param self : Records set @multi : The decorator of multi"""
res = {}
for rec in self:
reserv_bed = 0
... | the_stack_v2_python_sparse | core/sg_accommodation/models/accommodation_agreement.py | Muhammad-SF/Test | train | 0 | |
e79a3e633f9654584bce9620cfc53c2815f63442 | [
"super().__init__()\nself.generator = generator_cls(latent_dim=latent_dim, img_shape=img_shape)\nself.discriminator = discriminator_cls(latent_dim=latent_dim)\nself._latent_dim = latent_dim",
"results_gen = self.generator(x)\nz = torch.randn_like(results_gen['encoded'])\nreturn {**results_gen, 'discr_encoded': se... | <|body_start_0|>
super().__init__()
self.generator = generator_cls(latent_dim=latent_dim, img_shape=img_shape)
self.discriminator = discriminator_cls(latent_dim=latent_dim)
self._latent_dim = latent_dim
<|end_body_0|>
<|body_start_1|>
results_gen = self.generator(x)
z = ... | Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder... | AdversarialAutoEncoderPyTorch | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdversarialAutoEncoderPyTorch:
"""Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregat... | stack_v2_sparse_classes_36k_train_034875 | 4,295 | permissive | [
{
"docstring": "Parameters ---------- latent_dim : int the size of the autoencoders latend dimension img_shape : tuple the shape of the input/output image generator_cls : a class implementing the actual generator model (consisting of encoder and decoder) discriminator_cls : a class implementing the actual discr... | 2 | stack_v2_sparse_classes_30k_train_005550 | Implement the Python class `AdversarialAutoEncoderPyTorch` described below.
Class description:
Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variati... | Implement the Python class `AdversarialAutoEncoderPyTorch` described below.
Class description:
Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variati... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class AdversarialAutoEncoderPyTorch:
"""Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdversarialAutoEncoderPyTorch:
"""Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior ... | the_stack_v2_python_sparse | dlutils/models/gans/adversarial_autoencoder/aae.py | justusschock/dl-utils | train | 15 |
604302862d9d71679915f730cb6233360bbd34a0 | [
"self._C = desc.C\nself._stem_multi = desc.stem_multi\nself.C_curr = self._stem_multi * self._C\nself.data_format = desc.data_format",
"x = tf.layers.conv2d(x, self.C_curr, 3, padding='same', use_bias=False, data_format=self.data_format)\nx = tf.layers.batch_normalization(x, axis=1 if self.data_format == 'channel... | <|body_start_0|>
self._C = desc.C
self._stem_multi = desc.stem_multi
self.C_curr = self._stem_multi * self._C
self.data_format = desc.data_format
<|end_body_0|>
<|body_start_1|>
x = tf.layers.conv2d(x, self.C_curr, 3, padding='same', use_bias=False, data_format=self.data_format)... | Class of one stem convolution. :param desc: description of PreOneStem :type desc: Config | PreOneStem | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PreOneStem:
"""Class of one stem convolution. :param desc: description of PreOneStem :type desc: Config"""
def __init__(self, desc):
"""Init PreOneStem."""
<|body_0|>
def __call__(self, x, training):
"""Forward function of PreOneStem."""
<|body_1|>
<|end... | stack_v2_sparse_classes_36k_train_034876 | 9,137 | permissive | [
{
"docstring": "Init PreOneStem.",
"name": "__init__",
"signature": "def __init__(self, desc)"
},
{
"docstring": "Forward function of PreOneStem.",
"name": "__call__",
"signature": "def __call__(self, x, training)"
}
] | 2 | null | Implement the Python class `PreOneStem` described below.
Class description:
Class of one stem convolution. :param desc: description of PreOneStem :type desc: Config
Method signatures and docstrings:
- def __init__(self, desc): Init PreOneStem.
- def __call__(self, x, training): Forward function of PreOneStem. | Implement the Python class `PreOneStem` described below.
Class description:
Class of one stem convolution. :param desc: description of PreOneStem :type desc: Config
Method signatures and docstrings:
- def __init__(self, desc): Init PreOneStem.
- def __call__(self, x, training): Forward function of PreOneStem.
<|skel... | df51ed9c1d6dbde1deef63f2a037a369f8554406 | <|skeleton|>
class PreOneStem:
"""Class of one stem convolution. :param desc: description of PreOneStem :type desc: Config"""
def __init__(self, desc):
"""Init PreOneStem."""
<|body_0|>
def __call__(self, x, training):
"""Forward function of PreOneStem."""
<|body_1|>
<|end... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PreOneStem:
"""Class of one stem convolution. :param desc: description of PreOneStem :type desc: Config"""
def __init__(self, desc):
"""Init PreOneStem."""
self._C = desc.C
self._stem_multi = desc.stem_multi
self.C_curr = self._stem_multi * self._C
self.data_format... | the_stack_v2_python_sparse | built-in/TensorFlow/Official/cv/image_classification/ResnetVariant_for_TensorFlow/automl/vega/search_space/networks/tensorflow/blocks/darts_ops.py | Huawei-Ascend/modelzoo | train | 1 |
42097f4703baab088a3861b4e08e7c127354508c | [
"super().__init__()\nself.model_cfg = model_cfg\nself.num_heights = grid_size[-1]\nself.num_bev_features = self.model_cfg.NUM_BEV_FEATURES\nself.block = BasicBlock2D(in_channels=self.num_bev_features * self.num_heights, out_channels=self.num_bev_features, **self.model_cfg.ARGS)",
"voxel_features = batch_dict['vox... | <|body_start_0|>
super().__init__()
self.model_cfg = model_cfg
self.num_heights = grid_size[-1]
self.num_bev_features = self.model_cfg.NUM_BEV_FEATURES
self.block = BasicBlock2D(in_channels=self.num_bev_features * self.num_heights, out_channels=self.num_bev_features, **self.model... | Conv2DCollapse | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2DCollapse:
def __init__(self, model_cfg, grid_size):
"""Initializes 2D convolution collapse module Args: model_cfg: EasyDict, Model configuration grid_size: (X, Y, Z) Voxel grid size"""
<|body_0|>
def forward(self, batch_dict):
"""Collapses voxel features to BEV... | stack_v2_sparse_classes_36k_train_034877 | 1,451 | permissive | [
{
"docstring": "Initializes 2D convolution collapse module Args: model_cfg: EasyDict, Model configuration grid_size: (X, Y, Z) Voxel grid size",
"name": "__init__",
"signature": "def __init__(self, model_cfg, grid_size)"
},
{
"docstring": "Collapses voxel features to BEV via concatenation and ch... | 2 | null | Implement the Python class `Conv2DCollapse` described below.
Class description:
Implement the Conv2DCollapse class.
Method signatures and docstrings:
- def __init__(self, model_cfg, grid_size): Initializes 2D convolution collapse module Args: model_cfg: EasyDict, Model configuration grid_size: (X, Y, Z) Voxel grid si... | Implement the Python class `Conv2DCollapse` described below.
Class description:
Implement the Conv2DCollapse class.
Method signatures and docstrings:
- def __init__(self, model_cfg, grid_size): Initializes 2D convolution collapse module Args: model_cfg: EasyDict, Model configuration grid_size: (X, Y, Z) Voxel grid si... | 249d4a3122b4a52556fa124ff0411182b9cbede3 | <|skeleton|>
class Conv2DCollapse:
def __init__(self, model_cfg, grid_size):
"""Initializes 2D convolution collapse module Args: model_cfg: EasyDict, Model configuration grid_size: (X, Y, Z) Voxel grid size"""
<|body_0|>
def forward(self, batch_dict):
"""Collapses voxel features to BEV... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Conv2DCollapse:
def __init__(self, model_cfg, grid_size):
"""Initializes 2D convolution collapse module Args: model_cfg: EasyDict, Model configuration grid_size: (X, Y, Z) Voxel grid size"""
super().__init__()
self.model_cfg = model_cfg
self.num_heights = grid_size[-1]
... | the_stack_v2_python_sparse | src/site_model/src/LidCamFusion/OpenPCDet/pcdet/models/backbones_2d/map_to_bev/conv2d_collapse.py | OrangeSodahub/CRLFnet | train | 63 | |
ddc2789d2459299c4f6c6be9ade9c56644d87a52 | [
"if server_ip == '' and server_port != 0 or (server_ip != '' and server_port == 0):\n raise Exception('server_ip和server_port必须同时指定')\nself._server_ip = server_ip\nself._server_port = server_port\nself._service_name = service_name\nself._host = host",
"headers = {'org': org, 'user': user}\nroute_name = ''\nserv... | <|body_start_0|>
if server_ip == '' and server_port != 0 or (server_ip != '' and server_port == 0):
raise Exception('server_ip和server_port必须同时指定')
self._server_ip = server_ip
self._server_port = server_port
self._service_name = service_name
self._host = host
<|end_bod... | DeployClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeployClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和servic... | stack_v2_sparse_classes_36k_train_034878 | 7,561 | permissive | [
{
"docstring": "初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高 :param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com",
"name": "__ini... | 5 | stack_v2_sparse_classes_30k_train_019126 | Implement the Python class `DeployClient` described below.
Class description:
Implement the DeployClient class.
Method signatures and docstrings:
- def __init__(self, server_ip='', server_port=0, service_name='', host=''): 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_por... | Implement the Python class `DeployClient` described below.
Class description:
Implement the DeployClient class.
Method signatures and docstrings:
- def __init__(self, server_ip='', server_port=0, service_name='', host=''): 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_por... | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | <|skeleton|>
class DeployClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和servic... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeployClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，ser... | the_stack_v2_python_sparse | easy_flow_sdk/api/deploy/deploy_client.py | easyopsapis/easyops-api-python | train | 5 | |
9e0b10800f3d82a285e57d3bb85e378c8470ed99 | [
"with tempfile.TemporaryDirectory() as tmp_dir:\n repo_manager.RepoManager('https://github.com/curl/curl.git', tmp_dir)\n repo_manager.RepoManager('https://github.com/weinrank/usrsctp', tmp_dir)\n repo_manager.RepoManager('https://github.com/ntop/nDPI.git', tmp_dir)\n repo_manager.RepoManager('https://g... | <|body_start_0|>
with tempfile.TemporaryDirectory() as tmp_dir:
repo_manager.RepoManager('https://github.com/curl/curl.git', tmp_dir)
repo_manager.RepoManager('https://github.com/weinrank/usrsctp', tmp_dir)
repo_manager.RepoManager('https://github.com/ntop/nDPI.git', tmp_dir)... | Class to test the functionality of the detect_repo module. | DetectRepoTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DetectRepoTest:
"""Class to test the functionality of the detect_repo module."""
def test_infer_main_repo(self):
"""Tests that the main repo can be inferred based on an example commit."""
<|body_0|>
def test_infer_main_repo_from_name(self):
"""Tests that the main... | stack_v2_sparse_classes_36k_train_034879 | 5,500 | permissive | [
{
"docstring": "Tests that the main repo can be inferred based on an example commit.",
"name": "test_infer_main_repo",
"signature": "def test_infer_main_repo(self)"
},
{
"docstring": "Tests that the main project repo can be inferred from a repo name.",
"name": "test_infer_main_repo_from_name... | 4 | stack_v2_sparse_classes_30k_train_000808 | Implement the Python class `DetectRepoTest` described below.
Class description:
Class to test the functionality of the detect_repo module.
Method signatures and docstrings:
- def test_infer_main_repo(self): Tests that the main repo can be inferred based on an example commit.
- def test_infer_main_repo_from_name(self)... | Implement the Python class `DetectRepoTest` described below.
Class description:
Class to test the functionality of the detect_repo module.
Method signatures and docstrings:
- def test_infer_main_repo(self): Tests that the main repo can be inferred based on an example commit.
- def test_infer_main_repo_from_name(self)... | 8e2d57684bd49355b80572592c3af5cefc19a69c | <|skeleton|>
class DetectRepoTest:
"""Class to test the functionality of the detect_repo module."""
def test_infer_main_repo(self):
"""Tests that the main repo can be inferred based on an example commit."""
<|body_0|>
def test_infer_main_repo_from_name(self):
"""Tests that the main... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DetectRepoTest:
"""Class to test the functionality of the detect_repo module."""
def test_infer_main_repo(self):
"""Tests that the main repo can be inferred based on an example commit."""
with tempfile.TemporaryDirectory() as tmp_dir:
repo_manager.RepoManager('https://github.c... | the_stack_v2_python_sparse | infra/base-images/base-builder/detect_repo_test.py | DeepInThought/oss-fuzz | train | 2 |
a1102c9acca3fb04c1aea59fb682fc4e5d40d8df | [
"user = self.request.user\nqueryset = Notification.objects.filter(recipient=user).order_by('-date_created')\nreturn queryset",
"context = super().get_context_data(**kwargs)\nunread_notifications = []\ncurrent_page_notifications = list(context['object_list'])\nfor notification in current_page_notifications:\n i... | <|body_start_0|>
user = self.request.user
queryset = Notification.objects.filter(recipient=user).order_by('-date_created')
return queryset
<|end_body_0|>
<|body_start_1|>
context = super().get_context_data(**kwargs)
unread_notifications = []
current_page_notifications = ... | User notifications dashboard | NotificationListView | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NotificationListView:
"""User notifications dashboard"""
def get_queryset(self):
"""Only notifications where the user is recipient are available"""
<|body_0|>
def get_context_data(self, **kwargs):
"""Notifications are marked as read when the list page is displaye... | stack_v2_sparse_classes_36k_train_034880 | 3,613 | permissive | [
{
"docstring": "Only notifications where the user is recipient are available",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "Notifications are marked as read when the list page is displayed",
"name": "get_context_data",
"signature": "def get_context_dat... | 2 | null | Implement the Python class `NotificationListView` described below.
Class description:
User notifications dashboard
Method signatures and docstrings:
- def get_queryset(self): Only notifications where the user is recipient are available
- def get_context_data(self, **kwargs): Notifications are marked as read when the ... | Implement the Python class `NotificationListView` described below.
Class description:
User notifications dashboard
Method signatures and docstrings:
- def get_queryset(self): Only notifications where the user is recipient are available
- def get_context_data(self, **kwargs): Notifications are marked as read when the ... | af9f6e6e8b1918363793fbf291f3518ef1454169 | <|skeleton|>
class NotificationListView:
"""User notifications dashboard"""
def get_queryset(self):
"""Only notifications where the user is recipient are available"""
<|body_0|>
def get_context_data(self, **kwargs):
"""Notifications are marked as read when the list page is displaye... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NotificationListView:
"""User notifications dashboard"""
def get_queryset(self):
"""Only notifications where the user is recipient are available"""
user = self.request.user
queryset = Notification.objects.filter(recipient=user).order_by('-date_created')
return queryset
... | the_stack_v2_python_sparse | src/notifications/views.py | MTES-MCT/aides-territoires | train | 21 |
dc0f266dabf1b03b53175019a50a547c21b45be5 | [
"if current_user in self.event.participants:\n return jsonify({'status': 200, 'message': 'You are registered as a participant'})\nelif current_user in self.event.guests:\n return jsonify({'status': 200, 'message': 'You are registered as a guest'})\nelse:\n return jsonify({'status': 200, 'message': 'You are... | <|body_start_0|>
if current_user in self.event.participants:
return jsonify({'status': 200, 'message': 'You are registered as a participant'})
elif current_user in self.event.guests:
return jsonify({'status': 200, 'message': 'You are registered as a guest'})
else:
... | Resource for registering and unregistering as a participant fo event | UserAsParticipant | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserAsParticipant:
"""Resource for registering and unregistering as a participant fo event"""
def get(self, event_id: int) -> Response:
"""Method for checking registration as a participant Parameters ---------- event_id : int Event id Returns ------- Response Response message with st... | stack_v2_sparse_classes_36k_train_034881 | 7,636 | no_license | [
{
"docstring": "Method for checking registration as a participant Parameters ---------- event_id : int Event id Returns ------- Response Response message with status code",
"name": "get",
"signature": "def get(self, event_id: int) -> Response"
},
{
"docstring": "Method for registering as a parti... | 3 | stack_v2_sparse_classes_30k_train_021261 | Implement the Python class `UserAsParticipant` described below.
Class description:
Resource for registering and unregistering as a participant fo event
Method signatures and docstrings:
- def get(self, event_id: int) -> Response: Method for checking registration as a participant Parameters ---------- event_id : int E... | Implement the Python class `UserAsParticipant` described below.
Class description:
Resource for registering and unregistering as a participant fo event
Method signatures and docstrings:
- def get(self, event_id: int) -> Response: Method for checking registration as a participant Parameters ---------- event_id : int E... | 51e4d69f88c120cfc587fd007f21528a7bd661a0 | <|skeleton|>
class UserAsParticipant:
"""Resource for registering and unregistering as a participant fo event"""
def get(self, event_id: int) -> Response:
"""Method for checking registration as a participant Parameters ---------- event_id : int Event id Returns ------- Response Response message with st... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserAsParticipant:
"""Resource for registering and unregistering as a participant fo event"""
def get(self, event_id: int) -> Response:
"""Method for checking registration as a participant Parameters ---------- event_id : int Event id Returns ------- Response Response message with status code"""
... | the_stack_v2_python_sparse | flask_app/resources/participant.py | Kyrylo-Kotelevets/Flask_Events | train | 0 |
93bd7b80fd6d3b9ff3a63926277619aadf7f8bc8 | [
"super().__init__(sensitivity, initial_x, initial_y, lives, game_width, game_height, None, bullet_grp, debug)\nself.delta_x = self.sensitivity\nself.delta_y = self.sensitivity // 2\nself.set_points(100 * lives)",
"if self.touch_edge():\n self.delta_x = -self.delta_x\n if self.delta_x > 0:\n self.imag... | <|body_start_0|>
super().__init__(sensitivity, initial_x, initial_y, lives, game_width, game_height, None, bullet_grp, debug)
self.delta_x = self.sensitivity
self.delta_y = self.sensitivity // 2
self.set_points(100 * lives)
<|end_body_0|>
<|body_start_1|>
if self.touch_edge():
... | Scout | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scout:
def __init__(self, sensitivity: int, initial_x: int, initial_y: int, lives: int, game_width: int, game_height: int, bullet_grp, debug: bool):
"""Main class for the scout ship"""
<|body_0|>
def update(self) -> None:
"""Overridden update class for the scout boss... | stack_v2_sparse_classes_36k_train_034882 | 1,459 | permissive | [
{
"docstring": "Main class for the scout ship",
"name": "__init__",
"signature": "def __init__(self, sensitivity: int, initial_x: int, initial_y: int, lives: int, game_width: int, game_height: int, bullet_grp, debug: bool)"
},
{
"docstring": "Overridden update class for the scout boss",
"nam... | 2 | stack_v2_sparse_classes_30k_train_006099 | Implement the Python class `Scout` described below.
Class description:
Implement the Scout class.
Method signatures and docstrings:
- def __init__(self, sensitivity: int, initial_x: int, initial_y: int, lives: int, game_width: int, game_height: int, bullet_grp, debug: bool): Main class for the scout ship
- def update... | Implement the Python class `Scout` described below.
Class description:
Implement the Scout class.
Method signatures and docstrings:
- def __init__(self, sensitivity: int, initial_x: int, initial_y: int, lives: int, game_width: int, game_height: int, bullet_grp, debug: bool): Main class for the scout ship
- def update... | 6f8f2da4fd26ef1d77c0c6183230c3a5e6bf0bb9 | <|skeleton|>
class Scout:
def __init__(self, sensitivity: int, initial_x: int, initial_y: int, lives: int, game_width: int, game_height: int, bullet_grp, debug: bool):
"""Main class for the scout ship"""
<|body_0|>
def update(self) -> None:
"""Overridden update class for the scout boss... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Scout:
def __init__(self, sensitivity: int, initial_x: int, initial_y: int, lives: int, game_width: int, game_height: int, bullet_grp, debug: bool):
"""Main class for the scout ship"""
super().__init__(sensitivity, initial_x, initial_y, lives, game_width, game_height, None, bullet_grp, debug)
... | the_stack_v2_python_sparse | gym_invaders/gym_game/envs/classes/Game/Sprites/Scout.py | Jh123x/Orbital | train | 4 | |
1a24651b2c711492f6dd3e6a6596b57059001220 | [
"self.leads, self.times, count = ([], times, {})\nlead = -1\nfor p, t in zip(persons, times):\n count[p] = count.get(p, 0) + 1\n if count.get(lead, 0) <= count[p]:\n lead = p\n self.leads.append(lead)",
"l, r = (0, len(self.times) - 1)\nwhile l <= r:\n mid = (l + r) // 2\n if self.times[mid]... | <|body_start_0|>
self.leads, self.times, count = ([], times, {})
lead = -1
for p, t in zip(persons, times):
count[p] = count.get(p, 0) + 1
if count.get(lead, 0) <= count[p]:
lead = p
self.leads.append(lead)
<|end_body_0|>
<|body_start_1|>
... | TopVotedCandidate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TopVotedCandidate:
def __init__(self, persons, times):
""":type persons: List[int] :type times: List[int]"""
<|body_0|>
def q(self, t):
""":type t: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.leads, self.times, count = ([], ... | stack_v2_sparse_classes_36k_train_034883 | 1,680 | no_license | [
{
"docstring": ":type persons: List[int] :type times: List[int]",
"name": "__init__",
"signature": "def __init__(self, persons, times)"
},
{
"docstring": ":type t: int :rtype: int",
"name": "q",
"signature": "def q(self, t)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000300 | Implement the Python class `TopVotedCandidate` described below.
Class description:
Implement the TopVotedCandidate class.
Method signatures and docstrings:
- def __init__(self, persons, times): :type persons: List[int] :type times: List[int]
- def q(self, t): :type t: int :rtype: int | Implement the Python class `TopVotedCandidate` described below.
Class description:
Implement the TopVotedCandidate class.
Method signatures and docstrings:
- def __init__(self, persons, times): :type persons: List[int] :type times: List[int]
- def q(self, t): :type t: int :rtype: int
<|skeleton|>
class TopVotedCandi... | 035ef08434fa1ca781a6fb2f9eed3538b7d20c02 | <|skeleton|>
class TopVotedCandidate:
def __init__(self, persons, times):
""":type persons: List[int] :type times: List[int]"""
<|body_0|>
def q(self, t):
""":type t: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TopVotedCandidate:
def __init__(self, persons, times):
""":type persons: List[int] :type times: List[int]"""
self.leads, self.times, count = ([], times, {})
lead = -1
for p, t in zip(persons, times):
count[p] = count.get(p, 0) + 1
if count.get(lead, 0) <... | the_stack_v2_python_sparse | leetcode_python/Binary_Search/online-election.py | yennanliu/CS_basics | train | 64 | |
046468ce32fbe7984b5a3f4b70cb3474ad576586 | [
"mobile_ = attrs.get('mobile')\nsms_code_ = attrs.get('sms_code')\npassword_ = attrs.get('password')\nopenid_ = attrs.get('openid')\nopenid_ = check_encrypted_openid(openid_)\nif not openid_:\n raise serializers.ValidationError({'message': '无效的openid'})\nredis_conn = get_redis_connection('sms_codes')\nreal_sms_c... | <|body_start_0|>
mobile_ = attrs.get('mobile')
sms_code_ = attrs.get('sms_code')
password_ = attrs.get('password')
openid_ = attrs.get('openid')
openid_ = check_encrypted_openid(openid_)
if not openid_:
raise serializers.ValidationError({'message': '无效的openid'... | QQ登录创建用户序列化器 | QQUserSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QQUserSerializer:
"""QQ登录创建用户序列化器"""
def validate(self, attrs):
"""校验 :param attrs: 反序列化数据 :return:"""
<|body_0|>
def create(self, validated_data):
"""创建记录 :param validated_data: 校验后数据 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
mob... | stack_v2_sparse_classes_36k_train_034884 | 3,079 | no_license | [
{
"docstring": "校验 :param attrs: 反序列化数据 :return:",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "创建记录 :param validated_data: 校验后数据 :return:",
"name": "create",
"signature": "def create(self, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005873 | Implement the Python class `QQUserSerializer` described below.
Class description:
QQ登录创建用户序列化器
Method signatures and docstrings:
- def validate(self, attrs): 校验 :param attrs: 反序列化数据 :return:
- def create(self, validated_data): 创建记录 :param validated_data: 校验后数据 :return: | Implement the Python class `QQUserSerializer` described below.
Class description:
QQ登录创建用户序列化器
Method signatures and docstrings:
- def validate(self, attrs): 校验 :param attrs: 反序列化数据 :return:
- def create(self, validated_data): 创建记录 :param validated_data: 校验后数据 :return:
<|skeleton|>
class QQUserSerializer:
"""QQ登... | c841e7d1aa0616b070b10924f44b2c418f222cd8 | <|skeleton|>
class QQUserSerializer:
"""QQ登录创建用户序列化器"""
def validate(self, attrs):
"""校验 :param attrs: 反序列化数据 :return:"""
<|body_0|>
def create(self, validated_data):
"""创建记录 :param validated_data: 校验后数据 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QQUserSerializer:
"""QQ登录创建用户序列化器"""
def validate(self, attrs):
"""校验 :param attrs: 反序列化数据 :return:"""
mobile_ = attrs.get('mobile')
sms_code_ = attrs.get('sms_code')
password_ = attrs.get('password')
openid_ = attrs.get('openid')
openid_ = check_encrypted_... | the_stack_v2_python_sparse | meiduo_mall/meiduo_mall/apps/oauth/serializers.py | Echo-xie/meiduo_mall | train | 0 |
3cf1996c512d8f3da3a5622bcca33848d0a93395 | [
"def invert(node):\n node.left, node.right = (node.right, node.left)\n if node.left:\n invert(node.left)\n if node.right:\n invert(node.right)\ninvert(root)\nreturn root",
"def invert(node) -> TreeNode:\n node_copy = TreeNode(node.val)\n if node.left:\n node_copy.right = invert... | <|body_start_0|>
def invert(node):
node.left, node.right = (node.right, node.left)
if node.left:
invert(node.left)
if node.right:
invert(node.right)
invert(root)
return root
<|end_body_0|>
<|body_start_1|>
def invert(no... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def invertTree_v1(self, root: TreeNode) -> TreeNode:
"""Invert in place ."""
<|body_0|>
def invertTree_v2(self, root: TreeNode) -> TreeNode:
"""Clone and invert."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def invert(node):
... | stack_v2_sparse_classes_36k_train_034885 | 2,223 | no_license | [
{
"docstring": "Invert in place .",
"name": "invertTree_v1",
"signature": "def invertTree_v1(self, root: TreeNode) -> TreeNode"
},
{
"docstring": "Clone and invert.",
"name": "invertTree_v2",
"signature": "def invertTree_v2(self, root: TreeNode) -> TreeNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_001721 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def invertTree_v1(self, root: TreeNode) -> TreeNode: Invert in place .
- def invertTree_v2(self, root: TreeNode) -> TreeNode: Clone and invert. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def invertTree_v1(self, root: TreeNode) -> TreeNode: Invert in place .
- def invertTree_v2(self, root: TreeNode) -> TreeNode: Clone and invert.
<|skeleton|>
class Solution:
... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def invertTree_v1(self, root: TreeNode) -> TreeNode:
"""Invert in place ."""
<|body_0|>
def invertTree_v2(self, root: TreeNode) -> TreeNode:
"""Clone and invert."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def invertTree_v1(self, root: TreeNode) -> TreeNode:
"""Invert in place ."""
def invert(node):
node.left, node.right = (node.right, node.left)
if node.left:
invert(node.left)
if node.right:
invert(node.right)
... | the_stack_v2_python_sparse | python3/trees_and_graphs/invert_tree.py | victorchu/algorithms | train | 0 | |
69891e9fdce4619a4a9b093225cf7c8fd9c063a5 | [
"self.producers = list()\nif isinstance(columns, list) or isinstance(columns, tuple):\n self.is_unary = is_unary if is_unary is not None else False\n for c in columns:\n self.producers.append(to_column_eval(c))\nelif is_unary is not None and (not is_unary):\n raise TypeError('cannot call ternary con... | <|body_start_0|>
self.producers = list()
if isinstance(columns, list) or isinstance(columns, tuple):
self.is_unary = is_unary if is_unary is not None else False
for c in columns:
self.producers.append(to_column_eval(c))
elif is_unary is not None and (not i... | Eval is a factory for evaluation functions that extract values from one or more columns in data frame rows and that evaluate a given function (consumer) on the extracted values. We distinguish between unary evaluation functions that extract values from a single column and ternary evaluation functions that extract value... | Eval | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Eval:
"""Eval is a factory for evaluation functions that extract values from one or more columns in data frame rows and that evaluate a given function (consumer) on the extracted values. We distinguish between unary evaluation functions that extract values from a single column and ternary evaluat... | stack_v2_sparse_classes_36k_train_034886 | 44,356 | permissive | [
{
"docstring": "Create an instance of an evaluation function that extracts values from the specified columns and applies a given function (consumer) on the extracted values. The `is_unary` flag indicates if the consumer expects a single argument value or a tuple of values. Raises a TypeError if the list of inpu... | 4 | stack_v2_sparse_classes_30k_train_006769 | Implement the Python class `Eval` described below.
Class description:
Eval is a factory for evaluation functions that extract values from one or more columns in data frame rows and that evaluate a given function (consumer) on the extracted values. We distinguish between unary evaluation functions that extract values f... | Implement the Python class `Eval` described below.
Class description:
Eval is a factory for evaluation functions that extract values from one or more columns in data frame rows and that evaluate a given function (consumer) on the extracted values. We distinguish between unary evaluation functions that extract values f... | e3d0e04f90468c49f29ca53edc2feb12465c24d5 | <|skeleton|>
class Eval:
"""Eval is a factory for evaluation functions that extract values from one or more columns in data frame rows and that evaluate a given function (consumer) on the extracted values. We distinguish between unary evaluation functions that extract values from a single column and ternary evaluat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Eval:
"""Eval is a factory for evaluation functions that extract values from one or more columns in data frame rows and that evaluate a given function (consumer) on the extracted values. We distinguish between unary evaluation functions that extract values from a single column and ternary evaluation functions... | the_stack_v2_python_sparse | openclean/function/eval/base.py | Denisfench/openclean-core | train | 0 |
811a8a367e47b4b81b59a9a3ce8ed44bbf87866f | [
"super(TranslatorData, self).build()\nif self.config.outlet_state_defined and self.config.has_phase_equilibrium:\n raise ConfigurationError('{} cannot calculate phase equilibrium (has_phase_equilibrium = True) when outlet state is set to be fully defined (outlet_state_defined = True).'.format(self.name))\nself.p... | <|body_start_0|>
super(TranslatorData, self).build()
if self.config.outlet_state_defined and self.config.has_phase_equilibrium:
raise ConfigurationError('{} cannot calculate phase equilibrium (has_phase_equilibrium = True) when outlet state is set to be fully defined (outlet_state_defined = ... | Standard Translator Block Class | TranslatorData | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TranslatorData:
"""Standard Translator Block Class"""
def build(self):
"""Begin building model. Args: None Returns: None"""
<|body_0|>
def initialize_build(blk, state_args_in=None, state_args_out=None, outlvl=idaeslog.NOTSET, solver=None, optarg=None):
"""This me... | stack_v2_sparse_classes_36k_train_034887 | 9,225 | permissive | [
{
"docstring": "Begin building model. Args: None Returns: None",
"name": "build",
"signature": "def build(self)"
},
{
"docstring": "This method calls the initialization method of the state blocks. Keyword Arguments: state_args_in : a dict of arguments to be passed to the inlet property package (... | 2 | null | Implement the Python class `TranslatorData` described below.
Class description:
Standard Translator Block Class
Method signatures and docstrings:
- def build(self): Begin building model. Args: None Returns: None
- def initialize_build(blk, state_args_in=None, state_args_out=None, outlvl=idaeslog.NOTSET, solver=None, ... | Implement the Python class `TranslatorData` described below.
Class description:
Standard Translator Block Class
Method signatures and docstrings:
- def build(self): Begin building model. Args: None Returns: None
- def initialize_build(blk, state_args_in=None, state_args_out=None, outlvl=idaeslog.NOTSET, solver=None, ... | deacf4c422bc9e50cb347e11a8cbfa0195bd4274 | <|skeleton|>
class TranslatorData:
"""Standard Translator Block Class"""
def build(self):
"""Begin building model. Args: None Returns: None"""
<|body_0|>
def initialize_build(blk, state_args_in=None, state_args_out=None, outlvl=idaeslog.NOTSET, solver=None, optarg=None):
"""This me... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TranslatorData:
"""Standard Translator Block Class"""
def build(self):
"""Begin building model. Args: None Returns: None"""
super(TranslatorData, self).build()
if self.config.outlet_state_defined and self.config.has_phase_equilibrium:
raise ConfigurationError('{} canno... | the_stack_v2_python_sparse | idaes/models/unit_models/translator.py | IDAES/idaes-pse | train | 173 |
711531443d0c21bcf7d27aa9deb84aa2cf48f533 | [
"aliases = cls.code_aliases.copy()\naliases['yue'] = 'zh-yue'\ncls.code_aliases = aliases",
"if code == 'pl':\n return ('utf-8', 'iso8859-2')\nif code == 'ru':\n return ('utf-8', 'iso8859-5')\nif code in self.latin1old:\n return ('utf-8', 'iso-8859-1')\nreturn super().encodings(code)"
] | <|body_start_0|>
aliases = cls.code_aliases.copy()
aliases['yue'] = 'zh-yue'
cls.code_aliases = aliases
<|end_body_0|>
<|body_start_1|>
if code == 'pl':
return ('utf-8', 'iso8859-2')
if code == 'ru':
return ('utf-8', 'iso8859-5')
if code in self.l... | Family module for Wikipedia. | Family | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Family:
"""Family module for Wikipedia."""
def __post_init__(cls):
"""Add 'yue' code alias due to :phab:`T341960`. .. versionadded:: 8.3"""
<|body_0|>
def encodings(self, code):
"""Return a list of historical encodings for a specific site."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_034888 | 10,767 | permissive | [
{
"docstring": "Add 'yue' code alias due to :phab:`T341960`. .. versionadded:: 8.3",
"name": "__post_init__",
"signature": "def __post_init__(cls)"
},
{
"docstring": "Return a list of historical encodings for a specific site.",
"name": "encodings",
"signature": "def encodings(self, code)... | 2 | null | Implement the Python class `Family` described below.
Class description:
Family module for Wikipedia.
Method signatures and docstrings:
- def __post_init__(cls): Add 'yue' code alias due to :phab:`T341960`. .. versionadded:: 8.3
- def encodings(self, code): Return a list of historical encodings for a specific site. | Implement the Python class `Family` described below.
Class description:
Family module for Wikipedia.
Method signatures and docstrings:
- def __post_init__(cls): Add 'yue' code alias due to :phab:`T341960`. .. versionadded:: 8.3
- def encodings(self, code): Return a list of historical encodings for a specific site.
<... | 5c01e6bfcd328bc6eae643e661f1a0ae57612808 | <|skeleton|>
class Family:
"""Family module for Wikipedia."""
def __post_init__(cls):
"""Add 'yue' code alias due to :phab:`T341960`. .. versionadded:: 8.3"""
<|body_0|>
def encodings(self, code):
"""Return a list of historical encodings for a specific site."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Family:
"""Family module for Wikipedia."""
def __post_init__(cls):
"""Add 'yue' code alias due to :phab:`T341960`. .. versionadded:: 8.3"""
aliases = cls.code_aliases.copy()
aliases['yue'] = 'zh-yue'
cls.code_aliases = aliases
def encodings(self, code):
"""Ret... | the_stack_v2_python_sparse | pywikibot/families/wikipedia_family.py | wikimedia/pywikibot | train | 432 |
2874baaa24f1c2cdafe8577cd7b68d50be0329b1 | [
"items = range(15)\nall_items = set()\nfor _ in xrange(50):\n combination = random_combination(items, 5)\n all_items |= set(combination)\neq_(all_items, set(items))",
"items = range(15)\nfor _ in xrange(50):\n combination = random_combination(items, len(items))\n eq_(len(combination), len(set(combinat... | <|body_start_0|>
items = range(15)
all_items = set()
for _ in xrange(50):
combination = random_combination(items, 5)
all_items |= set(combination)
eq_(all_items, set(items))
<|end_body_0|>
<|body_start_1|>
items = range(15)
for _ in xrange(50):
... | Tests for ``random_combination()`` | RandomCombinationTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomCombinationTests:
"""Tests for ``random_combination()``"""
def test_psuedorandomness(self):
"""ensure different subsets of the iterable get returned over many samplings of random combinations"""
<|body_0|>
def test_no_replacement(self):
"""ensure that eleme... | stack_v2_sparse_classes_36k_train_034889 | 47,145 | no_license | [
{
"docstring": "ensure different subsets of the iterable get returned over many samplings of random combinations",
"name": "test_psuedorandomness",
"signature": "def test_psuedorandomness(self)"
},
{
"docstring": "ensure that elements are sampled without replacement",
"name": "test_no_replac... | 2 | null | Implement the Python class `RandomCombinationTests` described below.
Class description:
Tests for ``random_combination()``
Method signatures and docstrings:
- def test_psuedorandomness(self): ensure different subsets of the iterable get returned over many samplings of random combinations
- def test_no_replacement(sel... | Implement the Python class `RandomCombinationTests` described below.
Class description:
Tests for ``random_combination()``
Method signatures and docstrings:
- def test_psuedorandomness(self): ensure different subsets of the iterable get returned over many samplings of random combinations
- def test_no_replacement(sel... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class RandomCombinationTests:
"""Tests for ``random_combination()``"""
def test_psuedorandomness(self):
"""ensure different subsets of the iterable get returned over many samplings of random combinations"""
<|body_0|>
def test_no_replacement(self):
"""ensure that eleme... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomCombinationTests:
"""Tests for ``random_combination()``"""
def test_psuedorandomness(self):
"""ensure different subsets of the iterable get returned over many samplings of random combinations"""
items = range(15)
all_items = set()
for _ in xrange(50):
com... | the_stack_v2_python_sparse | repoData/erikrose-more-itertools/allPythonContent.py | aCoffeeYin/pyreco | train | 0 |
7a1e023fa3edb113c505014eca75c1cf85bde9ff | [
"self._pat = pat\nself._M = len(pat)\nself._miss = [0 for i in range(self._M)]\nself._dfa = collections.defaultdict(lambda: [0 for i in range(self._M)])\nself._dfa[self._pat[0]][0] = 1\nX = 0\nfor j, letter in enumerate(self._pat[1:], 1):\n for c in self._dfa.keys():\n self._dfa[c][j] = self._dfa[c][X]\n ... | <|body_start_0|>
self._pat = pat
self._M = len(pat)
self._miss = [0 for i in range(self._M)]
self._dfa = collections.defaultdict(lambda: [0 for i in range(self._M)])
self._dfa[self._pat[0]][0] = 1
X = 0
for j, letter in enumerate(self._pat[1:], 1):
for... | Find and return the index of first occurance of substring | KMP | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KMP:
"""Find and return the index of first occurance of substring"""
def __init__(self, pat):
"""pre-process pattern string"""
<|body_0|>
def search(self, txt):
"""Returns the idx of the 1st occurrrence of the pattern string in the text string."""
<|body_... | stack_v2_sparse_classes_36k_train_034890 | 1,311 | permissive | [
{
"docstring": "pre-process pattern string",
"name": "__init__",
"signature": "def __init__(self, pat)"
},
{
"docstring": "Returns the idx of the 1st occurrrence of the pattern string in the text string.",
"name": "search",
"signature": "def search(self, txt)"
}
] | 2 | null | Implement the Python class `KMP` described below.
Class description:
Find and return the index of first occurance of substring
Method signatures and docstrings:
- def __init__(self, pat): pre-process pattern string
- def search(self, txt): Returns the idx of the 1st occurrrence of the pattern string in the text strin... | Implement the Python class `KMP` described below.
Class description:
Find and return the index of first occurance of substring
Method signatures and docstrings:
- def __init__(self, pat): pre-process pattern string
- def search(self, txt): Returns the idx of the 1st occurrrence of the pattern string in the text strin... | 6878fe4cad7daf7067014029d7aae303ad4c1182 | <|skeleton|>
class KMP:
"""Find and return the index of first occurance of substring"""
def __init__(self, pat):
"""pre-process pattern string"""
<|body_0|>
def search(self, txt):
"""Returns the idx of the 1st occurrrence of the pattern string in the text string."""
<|body_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KMP:
"""Find and return the index of first occurance of substring"""
def __init__(self, pat):
"""pre-process pattern string"""
self._pat = pat
self._M = len(pat)
self._miss = [0 for i in range(self._M)]
self._dfa = collections.defaultdict(lambda: [0 for i in range(... | the_stack_v2_python_sparse | ds/KMP.py | comicxmz001/LeetCode | train | 2 |
f8a8c0ae49a906382844e3bf70f9c24985b78624 | [
"ts = TopologicalSorter()\nfor cur, pre in prerequisites:\n ts.add(cur, pre)\ntry:\n ts.prepare()\n return True\nexcept CycleError:\n return False",
"adjList = [[] for _ in range(numCourses)]\ndeg = [0] * numCourses\nfor cur, pre in prerequisites:\n adjList[pre].append(cur)\n deg[cur] += 1\nretu... | <|body_start_0|>
ts = TopologicalSorter()
for cur, pre in prerequisites:
ts.add(cur, pre)
try:
ts.prepare()
return True
except CycleError:
return False
<|end_body_0|>
<|body_start_1|>
adjList = [[] for _ in range(numCourses)]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canFinish(self, numCourses: int, prerequisites: list[list[int]]) -> bool:
"""有向图是否无环"""
<|body_0|>
def canFinish2(self, numCourses: int, prerequisites: list[list[int]]) -> bool:
"""有向图是否无环"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_034891 | 1,875 | no_license | [
{
"docstring": "有向图是否无环",
"name": "canFinish",
"signature": "def canFinish(self, numCourses: int, prerequisites: list[list[int]]) -> bool"
},
{
"docstring": "有向图是否无环",
"name": "canFinish2",
"signature": "def canFinish2(self, numCourses: int, prerequisites: list[list[int]]) -> bool"
}
] | 2 | stack_v2_sparse_classes_30k_train_012280 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canFinish(self, numCourses: int, prerequisites: list[list[int]]) -> bool: 有向图是否无环
- def canFinish2(self, numCourses: int, prerequisites: list[list[int]]) -> bool: 有向图是否无环 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canFinish(self, numCourses: int, prerequisites: list[list[int]]) -> bool: 有向图是否无环
- def canFinish2(self, numCourses: int, prerequisites: list[list[int]]) -> bool: 有向图是否无环
<|... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def canFinish(self, numCourses: int, prerequisites: list[list[int]]) -> bool:
"""有向图是否无环"""
<|body_0|>
def canFinish2(self, numCourses: int, prerequisites: list[list[int]]) -> bool:
"""有向图是否无环"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canFinish(self, numCourses: int, prerequisites: list[list[int]]) -> bool:
"""有向图是否无环"""
ts = TopologicalSorter()
for cur, pre in prerequisites:
ts.add(cur, pre)
try:
ts.prepare()
return True
except CycleError:
... | the_stack_v2_python_sparse | 7_graph/拓扑排序/课程表/207. 课程表拓扑排序调库.py | 981377660LMT/algorithm-study | train | 225 | |
17918a3867b2c5f682070d9f9b862cdfc75b799b | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn DatePostRequestBody()",
"from ........models.json import Json\nfrom ........models.json import Json\nfields: Dict[str, Callable[[Any], None]] = {'day': lambda n: setattr(self, 'day', n.get_object_value(Json)), 'month': lambda n: setatt... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return DatePostRequestBody()
<|end_body_0|>
<|body_start_1|>
from ........models.json import Json
from ........models.json import Json
fields: Dict[str, Callable[[Any], None]] = {'day':... | DatePostRequestBody | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatePostRequestBody:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DatePostRequestBody:
"""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 ob... | stack_v2_sparse_classes_36k_train_034892 | 2,757 | 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: DatePostRequestBody",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator... | 3 | stack_v2_sparse_classes_30k_train_005721 | Implement the Python class `DatePostRequestBody` described below.
Class description:
Implement the DatePostRequestBody class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DatePostRequestBody: Creates a new instance of the appropriate class based on d... | Implement the Python class `DatePostRequestBody` described below.
Class description:
Implement the DatePostRequestBody class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DatePostRequestBody: Creates a new instance of the appropriate class based on d... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class DatePostRequestBody:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DatePostRequestBody:
"""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 ob... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DatePostRequestBody:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DatePostRequestBody:
"""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/drives/item/items/item/workbook/functions/date/date_post_request_body.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
33e0c34d2b472f0ddeb3fc3179167bab7bf9bbb4 | [
"self.list = []\nf = open('../names.txt')\nself.NAMES = f.read().splitlines()\nf.close()\nself.FAMILY = ['JAMES', 'JOHN', 'ROBERT', 'MICHAEL', 'WILLIAM', 'DAVID', 'RICHARD', 'CHARLES', 'JOSEPH', 'THOMAS', 'CHRISTOPHER', 'DANIEL', 'PAUL', 'MARK', 'DONALD', 'GEORGE', 'KENNETH', 'STEVEN', 'EDWARD', 'BRIAN', 'RONALD', ... | <|body_start_0|>
self.list = []
f = open('../names.txt')
self.NAMES = f.read().splitlines()
f.close()
self.FAMILY = ['JAMES', 'JOHN', 'ROBERT', 'MICHAEL', 'WILLIAM', 'DAVID', 'RICHARD', 'CHARLES', 'JOSEPH', 'THOMAS', 'CHRISTOPHER', 'DANIEL', 'PAUL', 'MARK', 'DONALD', 'GEORGE', 'K... | NamesGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NamesGenerator:
def __init__(self):
"""GENERATE NAMES"""
<|body_0|>
def gerenate(self):
"""RETURN A LIST FULL OF VALID STRING NAMES :return: list of strings"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.list = []
f = open('../names.tx... | stack_v2_sparse_classes_36k_train_034893 | 4,951 | no_license | [
{
"docstring": "GENERATE NAMES",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "RETURN A LIST FULL OF VALID STRING NAMES :return: list of strings",
"name": "gerenate",
"signature": "def gerenate(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008683 | Implement the Python class `NamesGenerator` described below.
Class description:
Implement the NamesGenerator class.
Method signatures and docstrings:
- def __init__(self): GENERATE NAMES
- def gerenate(self): RETURN A LIST FULL OF VALID STRING NAMES :return: list of strings | Implement the Python class `NamesGenerator` described below.
Class description:
Implement the NamesGenerator class.
Method signatures and docstrings:
- def __init__(self): GENERATE NAMES
- def gerenate(self): RETURN A LIST FULL OF VALID STRING NAMES :return: list of strings
<|skeleton|>
class NamesGenerator:
de... | 382323c5ae1b919dcc59212e4a0036d9fe845d9d | <|skeleton|>
class NamesGenerator:
def __init__(self):
"""GENERATE NAMES"""
<|body_0|>
def gerenate(self):
"""RETURN A LIST FULL OF VALID STRING NAMES :return: list of strings"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NamesGenerator:
def __init__(self):
"""GENERATE NAMES"""
self.list = []
f = open('../names.txt')
self.NAMES = f.read().splitlines()
f.close()
self.FAMILY = ['JAMES', 'JOHN', 'ROBERT', 'MICHAEL', 'WILLIAM', 'DAVID', 'RICHARD', 'CHARLES', 'JOSEPH', 'THOMAS', 'CHRI... | the_stack_v2_python_sparse | Semester 1/FP/W7/Project/Generators/Names.py | cinnamonbreakfast/uni_implementations | train | 0 | |
4184af7a9550194a650379a96a557656b4750b63 | [
"if not email:\n raise ValueError('The Email must be set')\nemail = self.normalize_email(email)\nif not check_ncsu_email(email):\n raise ValueError('Please use NCSU Email Id!')\nuser = self.model(email=email, **extra_fields)\nuser.set_password(password)\nuser.save()\nreturn user",
"extra_fields.setdefault('... | <|body_start_0|>
if not email:
raise ValueError('The Email must be set')
email = self.normalize_email(email)
if not check_ncsu_email(email):
raise ValueError('Please use NCSU Email Id!')
user = self.model(email=email, **extra_fields)
user.set_password(pass... | Custom user model manager where email is the unique identifiers for authentication instead of usernames. | CustomUserManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password, **extra_fields):
"""Create and save a User with the given email and password."""
<|body_0|>
def create... | stack_v2_sparse_classes_36k_train_034894 | 2,595 | permissive | [
{
"docstring": "Create and save a User with the given email and password.",
"name": "create_user",
"signature": "def create_user(self, email, password, **extra_fields)"
},
{
"docstring": "Create and save a SuperUser with the given email and password.",
"name": "create_superuser",
"signat... | 2 | stack_v2_sparse_classes_30k_train_006699 | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where email is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, email, password, **extra_fields): Create and save a User with the given ... | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where email is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, email, password, **extra_fields): Create and save a User with the given ... | c40b5f642577926e01dbc5d95d4abdf2a08bdbb5 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password, **extra_fields):
"""Create and save a User with the given email and password."""
<|body_0|>
def create... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password, **extra_fields):
"""Create and save a User with the given email and password."""
if not email:
raise ValueEr... | the_stack_v2_python_sparse | src/base/managers.py | Nikhil1912/FindMyRoomie_2.0 | train | 1 |
70cbf1143f0f4852d037371a0e7f0bab4791dc81 | [
"self.prefix = ''\nself.trie = TrieNode()\nfor word in words:\n cur_node = self.trie\n word = word[::-1]\n for char in word:\n cur_node = cur_node.dict[char]\n cur_node.is_word = True",
"self.prefix += letter\ncur_node = self.trie\nfor char in reversed(self.prefix):\n if char not in cur_node... | <|body_start_0|>
self.prefix = ''
self.trie = TrieNode()
for word in words:
cur_node = self.trie
word = word[::-1]
for char in word:
cur_node = cur_node.dict[char]
cur_node.is_word = True
<|end_body_0|>
<|body_start_1|>
sel... | StreamChecker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StreamChecker:
def __init__(self, words: List[str]):
"""Build a trie for each word in reversed order"""
<|body_0|>
def query(self, letter: str) -> bool:
"""Search user input in trie with reversed order"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_034895 | 1,299 | no_license | [
{
"docstring": "Build a trie for each word in reversed order",
"name": "__init__",
"signature": "def __init__(self, words: List[str])"
},
{
"docstring": "Search user input in trie with reversed order",
"name": "query",
"signature": "def query(self, letter: str) -> bool"
}
] | 2 | stack_v2_sparse_classes_30k_train_017679 | Implement the Python class `StreamChecker` described below.
Class description:
Implement the StreamChecker class.
Method signatures and docstrings:
- def __init__(self, words: List[str]): Build a trie for each word in reversed order
- def query(self, letter: str) -> bool: Search user input in trie with reversed order | Implement the Python class `StreamChecker` described below.
Class description:
Implement the StreamChecker class.
Method signatures and docstrings:
- def __init__(self, words: List[str]): Build a trie for each word in reversed order
- def query(self, letter: str) -> bool: Search user input in trie with reversed order... | 875a7de772b8923518abb5e98e5a068456e6b2ee | <|skeleton|>
class StreamChecker:
def __init__(self, words: List[str]):
"""Build a trie for each word in reversed order"""
<|body_0|>
def query(self, letter: str) -> bool:
"""Search user input in trie with reversed order"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StreamChecker:
def __init__(self, words: List[str]):
"""Build a trie for each word in reversed order"""
self.prefix = ''
self.trie = TrieNode()
for word in words:
cur_node = self.trie
word = word[::-1]
for char in word:
cur_no... | the_stack_v2_python_sparse | streamOfCharacters_1.py | zenithude/Python-Leetcode | train | 0 | |
4167d038012875409bfb0b38c3dfb21ed523bccc | [
"if context is None:\n context = {}\nif view_type == 'tree':\n view_id = self.pool.get('ir.ui.view').search(cr, uid, [('name', '=', 'stock.location.tree2')])\n if context.get('product_id', ''):\n view_id = self.pool.get('ir.ui.view').search(cr, uid, [('name', '=', 'stock.location.tree')])\n view_... | <|body_start_0|>
if context is None:
context = {}
if view_type == 'tree':
view_id = self.pool.get('ir.ui.view').search(cr, uid, [('name', '=', 'stock.location.tree2')])
if context.get('product_id', ''):
view_id = self.pool.get('ir.ui.view').search(cr, ... | stock_location | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class stock_location:
def fields_view_get(self, cr, uid, view_id=None, view_type=False, context=None, toolbar=False, submenu=False):
"""Changes the view dynamically @return: New arch of view."""
<|body_0|>
def name_get(self, cr, uid, ids, context=None):
"""Inherit fuction ... | stack_v2_sparse_classes_36k_train_034896 | 27,204 | no_license | [
{
"docstring": "Changes the view dynamically @return: New arch of view.",
"name": "fields_view_get",
"signature": "def fields_view_get(self, cr, uid, view_id=None, view_type=False, context=None, toolbar=False, submenu=False)"
},
{
"docstring": "Inherit fuction to return name (not full hierarchic... | 2 | stack_v2_sparse_classes_30k_test_000693 | Implement the Python class `stock_location` described below.
Class description:
Implement the stock_location class.
Method signatures and docstrings:
- def fields_view_get(self, cr, uid, view_id=None, view_type=False, context=None, toolbar=False, submenu=False): Changes the view dynamically @return: New arch of view.... | Implement the Python class `stock_location` described below.
Class description:
Implement the stock_location class.
Method signatures and docstrings:
- def fields_view_get(self, cr, uid, view_id=None, view_type=False, context=None, toolbar=False, submenu=False): Changes the view dynamically @return: New arch of view.... | 0b997095c260d58b026440967fea3a202bef7efb | <|skeleton|>
class stock_location:
def fields_view_get(self, cr, uid, view_id=None, view_type=False, context=None, toolbar=False, submenu=False):
"""Changes the view dynamically @return: New arch of view."""
<|body_0|>
def name_get(self, cr, uid, ids, context=None):
"""Inherit fuction ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class stock_location:
def fields_view_get(self, cr, uid, view_id=None, view_type=False, context=None, toolbar=False, submenu=False):
"""Changes the view dynamically @return: New arch of view."""
if context is None:
context = {}
if view_type == 'tree':
view_id = self.p... | the_stack_v2_python_sparse | v_7/Dongola/common/stock_multi_company/stock.py | musabahmed/baba | train | 0 | |
46a2d580ef6af9d05a5015cf5439162ec2245ea9 | [
"super().__init__(device, device_manager)\nself.entity_description = description\nself._attr_unique_id = f'{super().unique_id}{description.key}'\nif (int_type := self.find_dpcode(description.key, dptype=DPType.INTEGER, prefer_function=True)):\n self._number = int_type\n self._attr_native_max_value = self._num... | <|body_start_0|>
super().__init__(device, device_manager)
self.entity_description = description
self._attr_unique_id = f'{super().unique_id}{description.key}'
if (int_type := self.find_dpcode(description.key, dptype=DPType.INTEGER, prefer_function=True)):
self._number = int_t... | Tuya Number Entity. | TuyaNumberEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TuyaNumberEntity:
"""Tuya Number Entity."""
def __init__(self, device: TuyaDevice, device_manager: TuyaDeviceManager, description: NumberEntityDescription) -> None:
"""Init Tuya sensor."""
<|body_0|>
def native_value(self) -> float | None:
"""Return the entity va... | stack_v2_sparse_classes_36k_train_034897 | 15,310 | permissive | [
{
"docstring": "Init Tuya sensor.",
"name": "__init__",
"signature": "def __init__(self, device: TuyaDevice, device_manager: TuyaDeviceManager, description: NumberEntityDescription) -> None"
},
{
"docstring": "Return the entity value to represent the entity state.",
"name": "native_value",
... | 3 | null | Implement the Python class `TuyaNumberEntity` described below.
Class description:
Tuya Number Entity.
Method signatures and docstrings:
- def __init__(self, device: TuyaDevice, device_manager: TuyaDeviceManager, description: NumberEntityDescription) -> None: Init Tuya sensor.
- def native_value(self) -> float | None:... | Implement the Python class `TuyaNumberEntity` described below.
Class description:
Tuya Number Entity.
Method signatures and docstrings:
- def __init__(self, device: TuyaDevice, device_manager: TuyaDeviceManager, description: NumberEntityDescription) -> None: Init Tuya sensor.
- def native_value(self) -> float | None:... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class TuyaNumberEntity:
"""Tuya Number Entity."""
def __init__(self, device: TuyaDevice, device_manager: TuyaDeviceManager, description: NumberEntityDescription) -> None:
"""Init Tuya sensor."""
<|body_0|>
def native_value(self) -> float | None:
"""Return the entity va... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TuyaNumberEntity:
"""Tuya Number Entity."""
def __init__(self, device: TuyaDevice, device_manager: TuyaDeviceManager, description: NumberEntityDescription) -> None:
"""Init Tuya sensor."""
super().__init__(device, device_manager)
self.entity_description = description
self.... | the_stack_v2_python_sparse | homeassistant/components/tuya/number.py | home-assistant/core | train | 35,501 |
4763735b4fa68861caa792a99561d755cb471917 | [
"with tf.variable_scope(scope) as scope:\n if not reuse_variables:\n W = tf.get_variable('W_conv', weight_shape, tf.float32, tf.random_normal_initializer(0.0, stddev), trainable=trainable)\n b = tf.get_variable('b_conv', weight_shape[-1], tf.float32, tf.constant_initializer(0.1), trainable=trainabl... | <|body_start_0|>
with tf.variable_scope(scope) as scope:
if not reuse_variables:
W = tf.get_variable('W_conv', weight_shape, tf.float32, tf.random_normal_initializer(0.0, stddev), trainable=trainable)
b = tf.get_variable('b_conv', weight_shape[-1], tf.float32, tf.cons... | graph_construction_helper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class graph_construction_helper:
def conv(self, x, weight_shape, scope, stddev=0.1, trainable=True, reuse_variables=False):
"""x should be the 4d tensor which is being convolved weight shape should be a list of the form [Kernel Width, Kernel Width, input channels, output channels] scope should... | stack_v2_sparse_classes_36k_train_034898 | 13,931 | no_license | [
{
"docstring": "x should be the 4d tensor which is being convolved weight shape should be a list of the form [Kernel Width, Kernel Width, input channels, output channels] scope should be string specifying the scope of the variables in question",
"name": "conv",
"signature": "def conv(self, x, weight_sha... | 3 | null | Implement the Python class `graph_construction_helper` described below.
Class description:
Implement the graph_construction_helper class.
Method signatures and docstrings:
- def conv(self, x, weight_shape, scope, stddev=0.1, trainable=True, reuse_variables=False): x should be the 4d tensor which is being convolved we... | Implement the Python class `graph_construction_helper` described below.
Class description:
Implement the graph_construction_helper class.
Method signatures and docstrings:
- def conv(self, x, weight_shape, scope, stddev=0.1, trainable=True, reuse_variables=False): x should be the 4d tensor which is being convolved we... | cbea8bd086c4b1b97c263cef91a9ea5db74b5fb5 | <|skeleton|>
class graph_construction_helper:
def conv(self, x, weight_shape, scope, stddev=0.1, trainable=True, reuse_variables=False):
"""x should be the 4d tensor which is being convolved weight shape should be a list of the form [Kernel Width, Kernel Width, input channels, output channels] scope should... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class graph_construction_helper:
def conv(self, x, weight_shape, scope, stddev=0.1, trainable=True, reuse_variables=False):
"""x should be the 4d tensor which is being convolved weight shape should be a list of the form [Kernel Width, Kernel Width, input channels, output channels] scope should be string spe... | the_stack_v2_python_sparse | my_tf_util.py | shay93/Motor-Represenations | train | 0 | |
67cae395decd2f28d9dd7f4305297142fa716c20 | [
"num_dens_mean = {}\nnum_dens_std = {}\nfor key in HOD_params['tracer_flags'].keys():\n if HOD_params['tracer_flags'][key]:\n num_dens_mean[key] = data_params['tracer_density_mean'][key]\n num_dens_std[key] = data_params['tracer_density_std'][key]\nself.num_dens_mean = num_dens_mean\nself.num_dens_... | <|body_start_0|>
num_dens_mean = {}
num_dens_std = {}
for key in HOD_params['tracer_flags'].keys():
if HOD_params['tracer_flags'][key]:
num_dens_mean[key] = data_params['tracer_density_mean'][key]
num_dens_std[key] = data_params['tracer_density_std'][k... | Dummy object for calculating a likelihood | xirppi_Data | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class xirppi_Data:
"""Dummy object for calculating a likelihood"""
def __init__(self, data_params, HOD_params):
"""Constructor of the power spectrum data"""
<|body_0|>
def compute_likelihood(self, theory_clustering, theory_density):
"""Computes the likelihood using inf... | stack_v2_sparse_classes_36k_train_034899 | 5,451 | no_license | [
{
"docstring": "Constructor of the power spectrum data",
"name": "__init__",
"signature": "def __init__(self, data_params, HOD_params)"
},
{
"docstring": "Computes the likelihood using information from the context",
"name": "compute_likelihood",
"signature": "def compute_likelihood(self,... | 2 | stack_v2_sparse_classes_30k_train_000340 | Implement the Python class `xirppi_Data` described below.
Class description:
Dummy object for calculating a likelihood
Method signatures and docstrings:
- def __init__(self, data_params, HOD_params): Constructor of the power spectrum data
- def compute_likelihood(self, theory_clustering, theory_density): Computes the... | Implement the Python class `xirppi_Data` described below.
Class description:
Dummy object for calculating a likelihood
Method signatures and docstrings:
- def __init__(self, data_params, HOD_params): Constructor of the power spectrum data
- def compute_likelihood(self, theory_clustering, theory_density): Computes the... | 1323009ee34c4a9111b52a4810d8e9d0b0bc62ee | <|skeleton|>
class xirppi_Data:
"""Dummy object for calculating a likelihood"""
def __init__(self, data_params, HOD_params):
"""Constructor of the power spectrum data"""
<|body_0|>
def compute_likelihood(self, theory_clustering, theory_density):
"""Computes the likelihood using inf... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class xirppi_Data:
"""Dummy object for calculating a likelihood"""
def __init__(self, data_params, HOD_params):
"""Constructor of the power spectrum data"""
num_dens_mean = {}
num_dens_std = {}
for key in HOD_params['tracer_flags'].keys():
if HOD_params['tracer_flags... | the_stack_v2_python_sparse | likelihood_lowz.py | SandyYuan/BOSSfits | train | 0 |
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