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
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
eff8fe34670ee19cc6c3c3d3003fed17729860bd | [
"print('Constructing trajectory network for time: {}'.format(stream.time), end='\\r')\nG = Graph()\nparticles = list(stream)\nif save_position:\n G.add_nodes_from(((p.id, {'pos': p.position}) for p in particles))\nelse:\n G.add_nodes_from((p.id for p in particles))\npos = np.array([p.position for p in particl... | <|body_start_0|>
print('Constructing trajectory network for time: {}'.format(stream.time), end='\r')
G = Graph()
particles = list(stream)
if save_position:
G.add_nodes_from(((p.id, {'pos': p.position}) for p in particles))
else:
G.add_nodes_from((p.id for ... | Trajectory network constructor singleton class. | TrajectoryNetConstructor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrajectoryNetConstructor:
"""Trajectory network constructor singleton class."""
def get_proximitynet(self, stream, distance, save_position=False):
"""Get the proximity network for a single timestamp. Params ------ stream : ParticleStream The iterator over Particles in that timestep d... | stack_v2_sparse_classes_36k_train_012200 | 2,890 | no_license | [
{
"docstring": "Get the proximity network for a single timestamp. Params ------ stream : ParticleStream The iterator over Particles in that timestep distance : int or float The distance threshold within which objects are considered connected. save_position : boolean (optional, default: False) Whether to save pa... | 2 | stack_v2_sparse_classes_30k_train_009394 | Implement the Python class `TrajectoryNetConstructor` described below.
Class description:
Trajectory network constructor singleton class.
Method signatures and docstrings:
- def get_proximitynet(self, stream, distance, save_position=False): Get the proximity network for a single timestamp. Params ------ stream : Part... | Implement the Python class `TrajectoryNetConstructor` described below.
Class description:
Trajectory network constructor singleton class.
Method signatures and docstrings:
- def get_proximitynet(self, stream, distance, save_position=False): Get the proximity network for a single timestamp. Params ------ stream : Part... | 0394980efc628bfedd4fd504079a534418cbb89a | <|skeleton|>
class TrajectoryNetConstructor:
"""Trajectory network constructor singleton class."""
def get_proximitynet(self, stream, distance, save_position=False):
"""Get the proximity network for a single timestamp. Params ------ stream : ParticleStream The iterator over Particles in that timestep d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TrajectoryNetConstructor:
"""Trajectory network constructor singleton class."""
def get_proximitynet(self, stream, distance, save_position=False):
"""Get the proximity network for a single timestamp. Params ------ stream : ParticleStream The iterator over Particles in that timestep distance : int... | the_stack_v2_python_sparse | generators/trajectories/trajectory_net_constructor.py | tipech/spatialnet | train | 1 |
c3d4b0139cba0453fde7f8e5a03a998c1b172de7 | [
"super().__init__()\n\ndef block(in_features, out_features, normalization=True):\n \"\"\"Classifier block\"\"\"\n layers = [torch.nn.Conv2d(in_features, out_features, 3, stride=2, padding=1), torch.nn.LeakyReLU(0.2, inplace=True)]\n if normalization:\n layers.append(torch.nn.InstanceNorm2d(out_featu... | <|body_start_0|>
super().__init__()
def block(in_features, out_features, normalization=True):
"""Classifier block"""
layers = [torch.nn.Conv2d(in_features, out_features, 3, stride=2, padding=1), torch.nn.LeakyReLU(0.2, inplace=True)]
if normalization:
... | Classifier Network | Classifier | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Classifier:
"""Classifier Network"""
def __init__(self, num_channels, img_size, n_classes):
"""Parameters ---------- num_channels : int number of image channels img_size : int number of pixels per side n_classes : int number of classes"""
<|body_0|>
def forward(self, img... | stack_v2_sparse_classes_36k_train_012201 | 5,861 | permissive | [
{
"docstring": "Parameters ---------- num_channels : int number of image channels img_size : int number of pixels per side n_classes : int number of classes",
"name": "__init__",
"signature": "def __init__(self, num_channels, img_size, n_classes)"
},
{
"docstring": "Feeds a single batch through ... | 2 | null | Implement the Python class `Classifier` described below.
Class description:
Classifier Network
Method signatures and docstrings:
- def __init__(self, num_channels, img_size, n_classes): Parameters ---------- num_channels : int number of image channels img_size : int number of pixels per side n_classes : int number of... | Implement the Python class `Classifier` described below.
Class description:
Classifier Network
Method signatures and docstrings:
- def __init__(self, num_channels, img_size, n_classes): Parameters ---------- num_channels : int number of image channels img_size : int number of pixels per side n_classes : int number of... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class Classifier:
"""Classifier Network"""
def __init__(self, num_channels, img_size, n_classes):
"""Parameters ---------- num_channels : int number of image channels img_size : int number of pixels per side n_classes : int number of classes"""
<|body_0|>
def forward(self, img... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Classifier:
"""Classifier Network"""
def __init__(self, num_channels, img_size, n_classes):
"""Parameters ---------- num_channels : int number of image channels img_size : int number of pixels per side n_classes : int number of classes"""
super().__init__()
def block(in_features,... | the_stack_v2_python_sparse | dlutils/models/gans/pixel_da/models.py | justusschock/dl-utils | train | 15 |
c48edcf9b08b38440b6a736417eb24360eab22d9 | [
"a = self.B2D(a)\nb = self.B2D(b)\nreturn self.D2B(a + b)",
"decimal = 0\nlenth = len(binary)\nfor i in range(lenth):\n number = int(binary[lenth - i - 1])\n decimal += 2 ** i * number\nreturn decimal",
"binary = ''\nif decimal == 1:\n return '1'\nif decimal == 0:\n return '0'\nwhile decimal > 1:\n ... | <|body_start_0|>
a = self.B2D(a)
b = self.B2D(b)
return self.D2B(a + b)
<|end_body_0|>
<|body_start_1|>
decimal = 0
lenth = len(binary)
for i in range(lenth):
number = int(binary[lenth - i - 1])
decimal += 2 ** i * number
return decimal
<|... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def addBinary(self, a, b):
""":type a: str :type b: str :rtype: str"""
<|body_0|>
def B2D(self, binary):
""":type binary: str"""
<|body_1|>
def D2B(self, decimal):
""":type decimal: int"""
<|body_2|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_36k_train_012202 | 930 | no_license | [
{
"docstring": ":type a: str :type b: str :rtype: str",
"name": "addBinary",
"signature": "def addBinary(self, a, b)"
},
{
"docstring": ":type binary: str",
"name": "B2D",
"signature": "def B2D(self, binary)"
},
{
"docstring": ":type decimal: int",
"name": "D2B",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_003074 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addBinary(self, a, b): :type a: str :type b: str :rtype: str
- def B2D(self, binary): :type binary: str
- def D2B(self, decimal): :type decimal: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def addBinary(self, a, b): :type a: str :type b: str :rtype: str
- def B2D(self, binary): :type binary: str
- def D2B(self, decimal): :type decimal: int
<|skeleton|>
class Solut... | b60e2b7a8f2ad604c7d28b21498991da60066dc3 | <|skeleton|>
class Solution:
def addBinary(self, a, b):
""":type a: str :type b: str :rtype: str"""
<|body_0|>
def B2D(self, binary):
""":type binary: str"""
<|body_1|>
def D2B(self, decimal):
""":type decimal: int"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def addBinary(self, a, b):
""":type a: str :type b: str :rtype: str"""
a = self.B2D(a)
b = self.B2D(b)
return self.D2B(a + b)
def B2D(self, binary):
""":type binary: str"""
decimal = 0
lenth = len(binary)
for i in range(lenth):
... | the_stack_v2_python_sparse | OJ/LeetCode/67. Add Binary.py | Nobody0321/MyCodes | train | 0 | |
fb24979088c8898572071938c343aa0db6c7df86 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn LocationConstraintItem()",
"from .location import Location\nfrom .location import Location\nfields: Dict[str, Callable[[Any], None]] = {'resolveAvailability': lambda n: setattr(self, 'resolve_availability', n.get_bool_value())}\nsuper_... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return LocationConstraintItem()
<|end_body_0|>
<|body_start_1|>
from .location import Location
from .location import Location
fields: Dict[str, Callable[[Any], None]] = {'resolveAvailab... | LocationConstraintItem | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocationConstraintItem:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> LocationConstraintItem:
"""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 ... | stack_v2_sparse_classes_36k_train_012203 | 2,348 | 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: LocationConstraintItem",
"name": "create_from_discriminator_value",
"signature": "def create_from_discrimina... | 3 | stack_v2_sparse_classes_30k_train_010276 | Implement the Python class `LocationConstraintItem` described below.
Class description:
Implement the LocationConstraintItem class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> LocationConstraintItem: Creates a new instance of the appropriate class b... | Implement the Python class `LocationConstraintItem` described below.
Class description:
Implement the LocationConstraintItem class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> LocationConstraintItem: Creates a new instance of the appropriate class b... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class LocationConstraintItem:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> LocationConstraintItem:
"""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 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LocationConstraintItem:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> LocationConstraintItem:
"""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 Ret... | the_stack_v2_python_sparse | msgraph/generated/models/location_constraint_item.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
7cbd65d86ce2b9239d3a37c471f56785b075e5be | [
"if id:\n self.id = id\nelse:\n Base.__nb_objects += 1\n self.id = Base.__nb_objects",
"if len(list_dictionaries) is False or list_dictionaries is None:\n return '[]'\nelse:\n json_str = json.dumps(list_dictionaries)\n return json_str",
"if len(json_string) == 0 or json_string is None:\n re... | <|body_start_0|>
if id:
self.id = id
else:
Base.__nb_objects += 1
self.id = Base.__nb_objects
<|end_body_0|>
<|body_start_1|>
if len(list_dictionaries) is False or list_dictionaries is None:
return '[]'
else:
json_str = json.du... | base class for project all other shapes are built on this class return: 0 | Base | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Base:
"""base class for project all other shapes are built on this class return: 0"""
def __init__(self, id=None):
"""count object"""
<|body_0|>
def to_json_string(list_dictionaries):
"""convert to json obj Return: dict"""
<|body_1|>
def from_json_st... | stack_v2_sparse_classes_36k_train_012204 | 2,646 | no_license | [
{
"docstring": "count object",
"name": "__init__",
"signature": "def __init__(self, id=None)"
},
{
"docstring": "convert to json obj Return: dict",
"name": "to_json_string",
"signature": "def to_json_string(list_dictionaries)"
},
{
"docstring": "creates dictionaries",
"name":... | 6 | stack_v2_sparse_classes_30k_train_012306 | Implement the Python class `Base` described below.
Class description:
base class for project all other shapes are built on this class return: 0
Method signatures and docstrings:
- def __init__(self, id=None): count object
- def to_json_string(list_dictionaries): convert to json obj Return: dict
- def from_json_string... | Implement the Python class `Base` described below.
Class description:
base class for project all other shapes are built on this class return: 0
Method signatures and docstrings:
- def __init__(self, id=None): count object
- def to_json_string(list_dictionaries): convert to json obj Return: dict
- def from_json_string... | f47fc1817245fa41e597c9b03707687c78bc80e6 | <|skeleton|>
class Base:
"""base class for project all other shapes are built on this class return: 0"""
def __init__(self, id=None):
"""count object"""
<|body_0|>
def to_json_string(list_dictionaries):
"""convert to json obj Return: dict"""
<|body_1|>
def from_json_st... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Base:
"""base class for project all other shapes are built on this class return: 0"""
def __init__(self, id=None):
"""count object"""
if id:
self.id = id
else:
Base.__nb_objects += 1
self.id = Base.__nb_objects
def to_json_string(list_dicti... | the_stack_v2_python_sparse | 0x0C-python-almost_a_circle/models/base.py | stefansilverio/holbertonschool-higher_level_programming | train | 1 |
12dcd5f7096e4684a91a188a73df5dbe52febc66 | [
"self.name = name\nself.desired_species = desired_species\nself.feared_species = feared_species",
"adopter_score = float(adoption_center.get_number_of_species(self.desired_species))\nnum_feared = float(adoption_center.get_number_of_species(self.feared_species))\nresult = adopter_score - 0.3 * num_feared\nif resul... | <|body_start_0|>
self.name = name
self.desired_species = desired_species
self.feared_species = feared_species
<|end_body_0|>
<|body_start_1|>
adopter_score = float(adoption_center.get_number_of_species(self.desired_species))
num_feared = float(adoption_center.get_number_of_speci... | A FearfulAdopter is afraid of a particular species of animal. If the adoption center has one or more of those animals in it, they will be a bit more reluctant to go there due to the presence of the feared species. Their score should be 1x number of desired species - .3x the number of feared species | FearfulAdopter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FearfulAdopter:
"""A FearfulAdopter is afraid of a particular species of animal. If the adoption center has one or more of those animals in it, they will be a bit more reluctant to go there due to the presence of the feared species. Their score should be 1x number of desired species - .3x the num... | stack_v2_sparse_classes_36k_train_012205 | 4,359 | no_license | [
{
"docstring": "Initializes FearfulAdopter, a subclass of Adopter object class feared_species - a string that is the name of the feared species. All of the inputs are the same as the Adopter",
"name": "__init__",
"signature": "def __init__(self, name, desired_species, feared_species)"
},
{
"docs... | 2 | stack_v2_sparse_classes_30k_test_000867 | Implement the Python class `FearfulAdopter` described below.
Class description:
A FearfulAdopter is afraid of a particular species of animal. If the adoption center has one or more of those animals in it, they will be a bit more reluctant to go there due to the presence of the feared species. Their score should be 1x ... | Implement the Python class `FearfulAdopter` described below.
Class description:
A FearfulAdopter is afraid of a particular species of animal. If the adoption center has one or more of those animals in it, they will be a bit more reluctant to go there due to the presence of the feared species. Their score should be 1x ... | d8750a5d78f042477f6577af67cc46d584f4aede | <|skeleton|>
class FearfulAdopter:
"""A FearfulAdopter is afraid of a particular species of animal. If the adoption center has one or more of those animals in it, they will be a bit more reluctant to go there due to the presence of the feared species. Their score should be 1x number of desired species - .3x the num... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FearfulAdopter:
"""A FearfulAdopter is afraid of a particular species of animal. If the adoption center has one or more of those animals in it, they will be a bit more reluctant to go there due to the presence of the feared species. Their score should be 1x number of desired species - .3x the number of feared... | the_stack_v2_python_sparse | ProblemSets/ProblemSet07c.py | Greatdane/MITx-6.00.1x | train | 0 |
03344bc18239ed6913aa5adff13d82bdb836f8ac | [
"if page_url is None or html_cont is None:\n return\nsoup = BeautifulSoup(html_cont, 'html.parser')\nnew_url = self._get_new_urls(page_url, soup)\nnew_data = self._get_new_data(page_url, soup)\nreturn (new_url, new_data)",
"new_urls = set()\nlinks = soup.find_all('a', href=re.compile('/zanghaihua/\\\\d+\\\\.ht... | <|body_start_0|>
if page_url is None or html_cont is None:
return
soup = BeautifulSoup(html_cont, 'html.parser')
new_url = self._get_new_urls(page_url, soup)
new_data = self._get_new_data(page_url, soup)
return (new_url, new_data)
<|end_body_0|>
<|body_start_1|>
... | HtmlParser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HtmlParser:
def parser(self, page_url, html_cont):
"""用于网页解析，返回url和数据 :param page_url: :param html_cont: :return:"""
<|body_0|>
def _get_new_urls(self, page_url, soup):
"""获取新的url集合 :param page_url: :param soup: :return:"""
<|body_1|>
def _get_new_data(s... | stack_v2_sparse_classes_36k_train_012206 | 1,673 | no_license | [
{
"docstring": "用于网页解析，返回url和数据 :param page_url: :param html_cont: :return:",
"name": "parser",
"signature": "def parser(self, page_url, html_cont)"
},
{
"docstring": "获取新的url集合 :param page_url: :param soup: :return:",
"name": "_get_new_urls",
"signature": "def _get_new_urls(self, page_u... | 3 | stack_v2_sparse_classes_30k_train_004053 | Implement the Python class `HtmlParser` described below.
Class description:
Implement the HtmlParser class.
Method signatures and docstrings:
- def parser(self, page_url, html_cont): 用于网页解析，返回url和数据 :param page_url: :param html_cont: :return:
- def _get_new_urls(self, page_url, soup): 获取新的url集合 :param page_url: :para... | Implement the Python class `HtmlParser` described below.
Class description:
Implement the HtmlParser class.
Method signatures and docstrings:
- def parser(self, page_url, html_cont): 用于网页解析，返回url和数据 :param page_url: :param html_cont: :return:
- def _get_new_urls(self, page_url, soup): 获取新的url集合 :param page_url: :para... | 5c61bbd07e1b66a1abc1c25e9cc41896a3e45dcd | <|skeleton|>
class HtmlParser:
def parser(self, page_url, html_cont):
"""用于网页解析，返回url和数据 :param page_url: :param html_cont: :return:"""
<|body_0|>
def _get_new_urls(self, page_url, soup):
"""获取新的url集合 :param page_url: :param soup: :return:"""
<|body_1|>
def _get_new_data(s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HtmlParser:
def parser(self, page_url, html_cont):
"""用于网页解析，返回url和数据 :param page_url: :param html_cont: :return:"""
if page_url is None or html_cont is None:
return
soup = BeautifulSoup(html_cont, 'html.parser')
new_url = self._get_new_urls(page_url, soup)
... | the_stack_v2_python_sparse | crawler/crawler_test/htmlparser.py | vipqian/inter | train | 0 | |
34c202f078fefacd38f73b7acdf67c9e98897565 | [
"super().__init__()\nself.resize_input = resize_input\nself.normalize_input = normalize_input\nself.output_blocks = sorted(output_blocks)\nself.last_needed_block = max(output_blocks)\nassert self.last_needed_block <= 3, 'Last possible output block index is 3'\nself.blocks = nn.ModuleList()\nif use_fid_inception:\n ... | <|body_start_0|>
super().__init__()
self.resize_input = resize_input
self.normalize_input = normalize_input
self.output_blocks = sorted(output_blocks)
self.last_needed_block = max(output_blocks)
assert self.last_needed_block <= 3, 'Last possible output block index is 3'
... | Pretrained InceptionV3 network returning feature maps. | InceptionV3 | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InceptionV3:
"""Pretrained InceptionV3 network returning feature maps."""
def __init__(self, output_blocks=[DEFAULT_BLOCK_INDEX], resize_input=True, normalize_input=True, requires_grad=False, use_fid_inception=True, load_fid_inception=True):
"""Build pretrained InceptionV3. Args: out... | stack_v2_sparse_classes_36k_train_012207 | 12,348 | permissive | [
{
"docstring": "Build pretrained InceptionV3. Args: output_blocks (list[int]): Indices of blocks to return features of. Possible values are: - 0: corresponds to output of first max pooling - 1: corresponds to output of second max pooling - 2: corresponds to output which is fed to aux classifier - 3: corresponds... | 2 | stack_v2_sparse_classes_30k_train_002415 | Implement the Python class `InceptionV3` described below.
Class description:
Pretrained InceptionV3 network returning feature maps.
Method signatures and docstrings:
- def __init__(self, output_blocks=[DEFAULT_BLOCK_INDEX], resize_input=True, normalize_input=True, requires_grad=False, use_fid_inception=True, load_fid... | Implement the Python class `InceptionV3` described below.
Class description:
Pretrained InceptionV3 network returning feature maps.
Method signatures and docstrings:
- def __init__(self, output_blocks=[DEFAULT_BLOCK_INDEX], resize_input=True, normalize_input=True, requires_grad=False, use_fid_inception=True, load_fid... | a382f143c0fd20d227e1e5524831ba26a568190d | <|skeleton|>
class InceptionV3:
"""Pretrained InceptionV3 network returning feature maps."""
def __init__(self, output_blocks=[DEFAULT_BLOCK_INDEX], resize_input=True, normalize_input=True, requires_grad=False, use_fid_inception=True, load_fid_inception=True):
"""Build pretrained InceptionV3. Args: out... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InceptionV3:
"""Pretrained InceptionV3 network returning feature maps."""
def __init__(self, output_blocks=[DEFAULT_BLOCK_INDEX], resize_input=True, normalize_input=True, requires_grad=False, use_fid_inception=True, load_fid_inception=True):
"""Build pretrained InceptionV3. Args: output_blocks (l... | the_stack_v2_python_sparse | mmagic/evaluation/functional/fid_inception.py | open-mmlab/mmagic | train | 1,370 |
eb3b49320098161cbe857aafd09c1acb3fa5cba0 | [
"if df is None:\n raise TypeError\nself._df = df\nself._jMelt = self._df._sc._jvm.com.ons.sml.api.java.methods.JavaMeltFactory.melt(self._df._jdf)",
"if df is None:\n df = self._df\nreturn DataFrame(self._jMelt.melt1(df._jdf, id_vars, value_vars, var_name, val_name), df.sql_ctx)"
] | <|body_start_0|>
if df is None:
raise TypeError
self._df = df
self._jMelt = self._df._sc._jvm.com.ons.sml.api.java.methods.JavaMeltFactory.melt(self._df._jdf)
<|end_body_0|>
<|body_start_1|>
if df is None:
df = self._df
return DataFrame(self._jMelt.melt1(... | This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame. | Melt | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Melt:
"""This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame."""
def __init__(self, df=None):
"""Initialise function to instantiate the Melt class. :param df: a DataFrame"""
<|body_0|>
def melt1(self, df=None, id_vars=None, value_vars... | stack_v2_sparse_classes_36k_train_012208 | 1,318 | permissive | [
{
"docstring": "Initialise function to instantiate the Melt class. :param df: a DataFrame",
"name": "__init__",
"signature": "def __init__(self, df=None)"
},
{
"docstring": "Version 1 of the melt function. :param df: a DataFrame :param id_vars: Column(s) which are used as unique identifiers :par... | 2 | stack_v2_sparse_classes_30k_train_012115 | Implement the Python class `Melt` described below.
Class description:
This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame.
Method signatures and docstrings:
- def __init__(self, df=None): Initialise function to instantiate the Melt class. :param df: a DataFrame
- def melt1(self, d... | Implement the Python class `Melt` described below.
Class description:
This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame.
Method signatures and docstrings:
- def __init__(self, df=None): Initialise function to instantiate the Melt class. :param df: a DataFrame
- def melt1(self, d... | ceab962a3e14c57fa08de6141ef3f4df7cc7ad79 | <|skeleton|>
class Melt:
"""This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame."""
def __init__(self, df=None):
"""Initialise function to instantiate the Melt class. :param df: a DataFrame"""
<|body_0|>
def melt1(self, df=None, id_vars=None, value_vars... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Melt:
"""This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame."""
def __init__(self, df=None):
"""Initialise function to instantiate the Melt class. :param df: a DataFrame"""
if df is None:
raise TypeError
self._df = df
self.... | the_stack_v2_python_sparse | python/sparkts/onsMethods/Melt.py | SteveBall/SML | train | 3 |
d3dd9d59e249f10aa73d983e7d7afb5637e204fd | [
"record_type_string = self._RECORD_TYPE.GetName(file_header.record_type) or 'UNKNOWN'\nself._DebugPrintValue('Record type', f'0x{file_header.record_type:04x} ({record_type_string:s})')\nself._DebugPrintValue('Record size', f'{file_header.record_size:d}')\nself._DebugPrintValue('Signature', f'0x{file_header.signatur... | <|body_start_0|>
record_type_string = self._RECORD_TYPE.GetName(file_header.record_type) or 'UNKNOWN'
self._DebugPrintValue('Record type', f'0x{file_header.record_type:04x} ({record_type_string:s})')
self._DebugPrintValue('Record size', f'{file_header.record_size:d}')
self._DebugPrintVal... | Enhanced Metafile Format (EMF) file. | EMFFile | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EMFFile:
"""Enhanced Metafile Format (EMF) file."""
def _DebugPrintFileHeader(self, file_header):
"""Prints file header debug information. Args: file_header (emf_file_header): file header."""
<|body_0|>
def _DebugPrintRecordHeader(self, record_header):
"""Prints ... | stack_v2_sparse_classes_36k_train_012209 | 24,865 | permissive | [
{
"docstring": "Prints file header debug information. Args: file_header (emf_file_header): file header.",
"name": "_DebugPrintFileHeader",
"signature": "def _DebugPrintFileHeader(self, file_header)"
},
{
"docstring": "Prints record header debug information. Args: record_header (emf_record_header... | 6 | stack_v2_sparse_classes_30k_train_011873 | Implement the Python class `EMFFile` described below.
Class description:
Enhanced Metafile Format (EMF) file.
Method signatures and docstrings:
- def _DebugPrintFileHeader(self, file_header): Prints file header debug information. Args: file_header (emf_file_header): file header.
- def _DebugPrintRecordHeader(self, re... | Implement the Python class `EMFFile` described below.
Class description:
Enhanced Metafile Format (EMF) file.
Method signatures and docstrings:
- def _DebugPrintFileHeader(self, file_header): Prints file header debug information. Args: file_header (emf_file_header): file header.
- def _DebugPrintRecordHeader(self, re... | 55007dcac48efff42c497e739208ebfb88e4048d | <|skeleton|>
class EMFFile:
"""Enhanced Metafile Format (EMF) file."""
def _DebugPrintFileHeader(self, file_header):
"""Prints file header debug information. Args: file_header (emf_file_header): file header."""
<|body_0|>
def _DebugPrintRecordHeader(self, record_header):
"""Prints ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EMFFile:
"""Enhanced Metafile Format (EMF) file."""
def _DebugPrintFileHeader(self, file_header):
"""Prints file header debug information. Args: file_header (emf_file_header): file header."""
record_type_string = self._RECORD_TYPE.GetName(file_header.record_type) or 'UNKNOWN'
self... | the_stack_v2_python_sparse | dtformats/wemf.py | libyal/dtformats | train | 109 |
b11e588dca325eca9295a6c2502c26034556c028 | [
"cls = type(self)\nfor cls_name in dir(cls):\n cls_item = getattr(cls, cls_name, None)\n if isinstance(cls_item, NamedResourceFactoryDecorator):\n if cls_item.name == name:\n return getattr(self, cls_name)()\nreturn default",
"cls = type(self)\nfor cls_name in dir(cls):\n cls_item = get... | <|body_start_0|>
cls = type(self)
for cls_name in dir(cls):
cls_item = getattr(cls, cls_name, None)
if isinstance(cls_item, NamedResourceFactoryDecorator):
if cls_item.name == name:
return getattr(self, cls_name)()
return default
<|end_... | THe behaviour class which add the ability to traverse named resources | NamedResourceBehaviour | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NamedResourceBehaviour:
"""THe behaviour class which add the ability to traverse named resources"""
def get_named_resource(self, name, default=None):
"""Return a named resource named resources are traversable by self[name], this function is called by __getitem__ to obtain the object ... | stack_v2_sparse_classes_36k_train_012210 | 5,320 | permissive | [
{
"docstring": "Return a named resource named resources are traversable by self[name], this function is called by __getitem__ to obtain the object for a given name. By default this function looks object factories which are marked on the class with the attribute tinterface_factory_for. get_tinterfaces doesn't it... | 3 | stack_v2_sparse_classes_30k_train_008308 | Implement the Python class `NamedResourceBehaviour` described below.
Class description:
THe behaviour class which add the ability to traverse named resources
Method signatures and docstrings:
- def get_named_resource(self, name, default=None): Return a named resource named resources are traversable by self[name], thi... | Implement the Python class `NamedResourceBehaviour` described below.
Class description:
THe behaviour class which add the ability to traverse named resources
Method signatures and docstrings:
- def get_named_resource(self, name, default=None): Return a named resource named resources are traversable by self[name], thi... | 52f24d7f1f22c0ba14884fa84766b1c7084ef7bb | <|skeleton|>
class NamedResourceBehaviour:
"""THe behaviour class which add the ability to traverse named resources"""
def get_named_resource(self, name, default=None):
"""Return a named resource named resources are traversable by self[name], this function is called by __getitem__ to obtain the object ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NamedResourceBehaviour:
"""THe behaviour class which add the ability to traverse named resources"""
def get_named_resource(self, name, default=None):
"""Return a named resource named resources are traversable by self[name], this function is called by __getitem__ to obtain the object for a given n... | the_stack_v2_python_sparse | contextplus/behaviour/named_resource.py | olivelink/contextplus | train | 0 |
7c1ca75a4f218e02e1c9b99c1c60a43e56d3f8f6 | [
"super().__init__(game, mode_label=mode_selector_ui)\nself.mode_selector_ui = mode_selector_ui\nself.mission_selector_ui = mission_selector_ui\nself.mission_selector_label_ui = mission_selector_label_ui\nself.stage_selector_ui = stage_selector_ui\nself.mode_name = stage_name if stage_name else self.stage_selector_u... | <|body_start_0|>
super().__init__(game, mode_label=mode_selector_ui)
self.mode_selector_ui = mode_selector_ui
self.mission_selector_ui = mission_selector_ui
self.mission_selector_label_ui = mission_selector_label_ui
self.stage_selector_ui = stage_selector_ui
self.mode_nam... | Class for working with Epic Quests with 10 stages (usual missions without difficulty). | TenStageEpicQuest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TenStageEpicQuest:
"""Class for working with Epic Quests with 10 stages (usual missions without difficulty)."""
def __init__(self, game, mode_selector_ui, mission_selector_ui, mission_selector_label_ui, stage_selector_ui, stage_name=None):
"""Class initialization. :param lib.game.gam... | stack_v2_sparse_classes_36k_train_012211 | 26,035 | permissive | [
{
"docstring": "Class initialization. :param lib.game.game.Game game: instance of the game. :param ui.UIElement mode_selector_ui: UI element of Epic Quest selector. :param ui.UIElement mission_selector_ui: UI element of Epic Quest's mission selector. :param ui.UIElement mission_selector_label_ui: UI element of ... | 6 | stack_v2_sparse_classes_30k_train_020309 | Implement the Python class `TenStageEpicQuest` described below.
Class description:
Class for working with Epic Quests with 10 stages (usual missions without difficulty).
Method signatures and docstrings:
- def __init__(self, game, mode_selector_ui, mission_selector_ui, mission_selector_label_ui, stage_selector_ui, st... | Implement the Python class `TenStageEpicQuest` described below.
Class description:
Class for working with Epic Quests with 10 stages (usual missions without difficulty).
Method signatures and docstrings:
- def __init__(self, game, mode_selector_ui, mission_selector_ui, mission_selector_label_ui, stage_selector_ui, st... | fd3f0bd45aea45e2e8ad8e8fc73a8953c96d350a | <|skeleton|>
class TenStageEpicQuest:
"""Class for working with Epic Quests with 10 stages (usual missions without difficulty)."""
def __init__(self, game, mode_selector_ui, mission_selector_ui, mission_selector_label_ui, stage_selector_ui, stage_name=None):
"""Class initialization. :param lib.game.gam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TenStageEpicQuest:
"""Class for working with Epic Quests with 10 stages (usual missions without difficulty)."""
def __init__(self, game, mode_selector_ui, mission_selector_ui, mission_selector_label_ui, stage_selector_ui, stage_name=None):
"""Class initialization. :param lib.game.game.Game game: ... | the_stack_v2_python_sparse | lib/game/missions/epic_quest.py | th3f1v3/mff_auto | train | 0 |
9631c2ad16ad1a494a450d8325f52066318861f5 | [
"self.items = []\nself.ordered = ordered\nif objects is not None:\n self.items.extend(objects)",
"ret_str = ''\nfor count, item in enumerate(self.items):\n if self.ordered is False:\n ret_str += '* {}\\n'.format(str(item))\n else:\n ret_str += '{}. {}\\n'.format(count + 1, str(item))\nretur... | <|body_start_0|>
self.items = []
self.ordered = ordered
if objects is not None:
self.items.extend(objects)
<|end_body_0|>
<|body_start_1|>
ret_str = ''
for count, item in enumerate(self.items):
if self.ordered is False:
ret_str += '* {}\n'... | Lists. | MarkDownList | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MarkDownList:
"""Lists."""
def __init__(self, objects=None, ordered=False):
"""Initialize."""
<|body_0|>
def dumps(self):
"""Dump list string."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.items = []
self.ordered = ordered
... | stack_v2_sparse_classes_36k_train_012212 | 3,689 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, objects=None, ordered=False)"
},
{
"docstring": "Dump list string.",
"name": "dumps",
"signature": "def dumps(self)"
}
] | 2 | null | Implement the Python class `MarkDownList` described below.
Class description:
Lists.
Method signatures and docstrings:
- def __init__(self, objects=None, ordered=False): Initialize.
- def dumps(self): Dump list string. | Implement the Python class `MarkDownList` described below.
Class description:
Lists.
Method signatures and docstrings:
- def __init__(self, objects=None, ordered=False): Initialize.
- def dumps(self): Dump list string.
<|skeleton|>
class MarkDownList:
"""Lists."""
def __init__(self, objects=None, ordered=Fa... | 463412cf6a72456acc8cb99569e7dc9c9d472f6d | <|skeleton|>
class MarkDownList:
"""Lists."""
def __init__(self, objects=None, ordered=False):
"""Initialize."""
<|body_0|>
def dumps(self):
"""Dump list string."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MarkDownList:
"""Lists."""
def __init__(self, objects=None, ordered=False):
"""Initialize."""
self.items = []
self.ordered = ordered
if objects is not None:
self.items.extend(objects)
def dumps(self):
"""Dump list string."""
ret_str = ''
... | the_stack_v2_python_sparse | hdltools/docgen/markdown.py | brunosmmm/hdltools | train | 2 |
0ab76fa30a1b7b8ce7892e7c932e823dc5e94d85 | [
"WindowsBalloonTip._lock.acquire()\nval = WindowsBalloonTip._count\nWindowsBalloonTip._count += 1\nWindowsBalloonTip._lock.release()\nreturn val",
"atexit.register(self.__del__)\nwnd_class_ex = win_api_defs.get_WNDCLASSEXW()\nclass_name = 'PlyerTaskbar' + str(WindowsBalloonTip._get_unique_id())\nwnd_class_ex.lpsz... | <|body_start_0|>
WindowsBalloonTip._lock.acquire()
val = WindowsBalloonTip._count
WindowsBalloonTip._count += 1
WindowsBalloonTip._lock.release()
return val
<|end_body_0|>
<|body_start_1|>
atexit.register(self.__del__)
wnd_class_ex = win_api_defs.get_WNDCLASSEXW(... | Implementation of balloon tip notifications through Windows API. * Register Window class name: https://msdn.microsoft.com/en-us/library/windows/desktop/ms632596.aspx * Create an overlapped window using the registered class. - It's hidden everywhere in GUI unless ShowWindow(handle, SW_SHOW) function is called. * Show/re... | WindowsBalloonTip | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsBalloonTip:
"""Implementation of balloon tip notifications through Windows API. * Register Window class name: https://msdn.microsoft.com/en-us/library/windows/desktop/ms632596.aspx * Create an overlapped window using the registered class. - It's hidden everywhere in GUI unless ShowWindow(h... | stack_v2_sparse_classes_36k_train_012213 | 6,418 | permissive | [
{
"docstring": "Keep track of each created balloon tip notification names, so that they can be easily identified even from outside. Make sure the count is shared between all the instances i.e. use a lock, so that _count class variable is incremented safely when using balloon tip notifications with Threads.",
... | 5 | null | Implement the Python class `WindowsBalloonTip` described below.
Class description:
Implementation of balloon tip notifications through Windows API. * Register Window class name: https://msdn.microsoft.com/en-us/library/windows/desktop/ms632596.aspx * Create an overlapped window using the registered class. - It's hidde... | Implement the Python class `WindowsBalloonTip` described below.
Class description:
Implementation of balloon tip notifications through Windows API. * Register Window class name: https://msdn.microsoft.com/en-us/library/windows/desktop/ms632596.aspx * Create an overlapped window using the registered class. - It's hidde... | d8a2b3d16b12fc54667744a092a453ad007c9448 | <|skeleton|>
class WindowsBalloonTip:
"""Implementation of balloon tip notifications through Windows API. * Register Window class name: https://msdn.microsoft.com/en-us/library/windows/desktop/ms632596.aspx * Create an overlapped window using the registered class. - It's hidden everywhere in GUI unless ShowWindow(h... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WindowsBalloonTip:
"""Implementation of balloon tip notifications through Windows API. * Register Window class name: https://msdn.microsoft.com/en-us/library/windows/desktop/ms632596.aspx * Create an overlapped window using the registered class. - It's hidden everywhere in GUI unless ShowWindow(handle, SW_SHO... | the_stack_v2_python_sparse | plyer/platforms/win/libs/balloontip.py | kivy/plyer | train | 1,516 |
d954c4a82d03bb04604e78b48e43504363c6d5d6 | [
"slow = 0\nwhile slow < len(nums) and nums[slow] != 0:\n slow += 1\nfast = slow + 1\nwhile fast < len(nums):\n if nums[fast]:\n nums[slow], nums[fast] = (nums[fast], 0)\n slow += 1\n fast += 1\nreturn nums",
"tail = 0\nfor i in range(len(nums)):\n if nums[i] != 0:\n nums[tail], nu... | <|body_start_0|>
slow = 0
while slow < len(nums) and nums[slow] != 0:
slow += 1
fast = slow + 1
while fast < len(nums):
if nums[fast]:
nums[slow], nums[fast] = (nums[fast], 0)
slow += 1
fast += 1
return nums
<|en... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def moveZeroes(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead."""
<|body_0|>
def moveZeroes_precisetomine(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: None D... | stack_v2_sparse_classes_36k_train_012214 | 1,563 | no_license | [
{
"docstring": "time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead.",
"name": "moveZeroes",
"signature": "def moveZeroes(self, nums)"
},
{
"docstring": "time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modif... | 3 | stack_v2_sparse_classes_30k_train_013392 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def moveZeroes(self, nums): time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead.
- def moveZeroes_precisetomine(self, num... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def moveZeroes(self, nums): time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead.
- def moveZeroes_precisetomine(self, num... | 85f71621c54f6b0029f3a2746f022f89dd7419d9 | <|skeleton|>
class Solution:
def moveZeroes(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead."""
<|body_0|>
def moveZeroes_precisetomine(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: None D... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def moveZeroes(self, nums):
"""time O(n) space O(1) :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead."""
slow = 0
while slow < len(nums) and nums[slow] != 0:
slow += 1
fast = slow + 1
while fast < len(nums):
... | the_stack_v2_python_sparse | LeetCode/Array/283_move_zeros.py | XyK0907/for_work | train | 0 | |
2e764bb05e37ef38e6a6be032a292111d2edaef8 | [
"if n == 1:\n return '1'\ni = 1\nret = '1'\nwhile i < n:\n i += 1\n pre_ret = ret\n pre_c = pre_ret[0]\n cnt = 1\n ret = ''\n for c in pre_ret[1:]:\n if c == pre_c:\n cnt += 1\n else:\n ret += f'{cnt}{pre_c}'\n pre_c = c\n cnt = 1\n r... | <|body_start_0|>
if n == 1:
return '1'
i = 1
ret = '1'
while i < n:
i += 1
pre_ret = ret
pre_c = pre_ret[0]
cnt = 1
ret = ''
for c in pre_ret[1:]:
if c == pre_c:
cnt +=... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countAndSay2(self, n: int) -> str:
"""CREATED AT: 2022/2/15 30 / 30 test cases passed. Status: Accepted Runtime: 40 ms, faster than 94.24% Memory Usage: 14 MB, less than 78.47% 1 <= n <= 30"""
<|body_0|>
def countAndSay(self, n):
""":type n: int :rtype:... | stack_v2_sparse_classes_36k_train_012215 | 1,775 | permissive | [
{
"docstring": "CREATED AT: 2022/2/15 30 / 30 test cases passed. Status: Accepted Runtime: 40 ms, faster than 94.24% Memory Usage: 14 MB, less than 78.47% 1 <= n <= 30",
"name": "countAndSay2",
"signature": "def countAndSay2(self, n: int) -> str"
},
{
"docstring": ":type n: int :rtype: str",
... | 2 | stack_v2_sparse_classes_30k_train_006458 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countAndSay2(self, n: int) -> str: CREATED AT: 2022/2/15 30 / 30 test cases passed. Status: Accepted Runtime: 40 ms, faster than 94.24% Memory Usage: 14 MB, less than 78.47% ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countAndSay2(self, n: int) -> str: CREATED AT: 2022/2/15 30 / 30 test cases passed. Status: Accepted Runtime: 40 ms, faster than 94.24% Memory Usage: 14 MB, less than 78.47% ... | 4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5 | <|skeleton|>
class Solution:
def countAndSay2(self, n: int) -> str:
"""CREATED AT: 2022/2/15 30 / 30 test cases passed. Status: Accepted Runtime: 40 ms, faster than 94.24% Memory Usage: 14 MB, less than 78.47% 1 <= n <= 30"""
<|body_0|>
def countAndSay(self, n):
""":type n: int :rtype:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def countAndSay2(self, n: int) -> str:
"""CREATED AT: 2022/2/15 30 / 30 test cases passed. Status: Accepted Runtime: 40 ms, faster than 94.24% Memory Usage: 14 MB, less than 78.47% 1 <= n <= 30"""
if n == 1:
return '1'
i = 1
ret = '1'
while i < n:
... | the_stack_v2_python_sparse | src/38-CountAndSay.py | Jiezhi/myleetcode | train | 1 | |
1975f136643f26728a6846cbca65cdafcf5c2a1b | [
"if N == 1:\n return 1\nif N == 2:\n return 2\ndp = [1 for _ in range(N + 1)]\ndp[2] = 2\nfor i in range(3, N + 1):\n dp[i] = (2 * dp[i - 1] + dp[i - 3]) % int(1000000000.0 + 7)\nreturn dp[-1]",
"import numpy as np\nif N == 1:\n return 1\nif N == 2:\n return 2\nif N % 2 == 1:\n k = (N - 2) // 2\... | <|body_start_0|>
if N == 1:
return 1
if N == 2:
return 2
dp = [1 for _ in range(N + 1)]
dp[2] = 2
for i in range(3, N + 1):
dp[i] = (2 * dp[i - 1] + dp[i - 3]) % int(1000000000.0 + 7)
return dp[-1]
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numTilings(self, N):
""":type N: int :rtype: int 35MS"""
<|body_0|>
def numTilings_1(self, N):
""":type N: int :rtype: int 95MS"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if N == 1:
return 1
if N == 2:
... | stack_v2_sparse_classes_36k_train_012216 | 1,973 | no_license | [
{
"docstring": ":type N: int :rtype: int 35MS",
"name": "numTilings",
"signature": "def numTilings(self, N)"
},
{
"docstring": ":type N: int :rtype: int 95MS",
"name": "numTilings_1",
"signature": "def numTilings_1(self, N)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000200 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numTilings(self, N): :type N: int :rtype: int 35MS
- def numTilings_1(self, N): :type N: int :rtype: int 95MS | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numTilings(self, N): :type N: int :rtype: int 35MS
- def numTilings_1(self, N): :type N: int :rtype: int 95MS
<|skeleton|>
class Solution:
def numTilings(self, N):
... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def numTilings(self, N):
""":type N: int :rtype: int 35MS"""
<|body_0|>
def numTilings_1(self, N):
""":type N: int :rtype: int 95MS"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numTilings(self, N):
""":type N: int :rtype: int 35MS"""
if N == 1:
return 1
if N == 2:
return 2
dp = [1 for _ in range(N + 1)]
dp[2] = 2
for i in range(3, N + 1):
dp[i] = (2 * dp[i - 1] + dp[i - 3]) % int(100000... | the_stack_v2_python_sparse | DominoAndTrominoTiling_MID_790.py | 953250587/leetcode-python | train | 2 | |
ff68f55d5148b9a6a43a031b644d36baa8447da3 | [
"user_uuid = get_jwt_identity()\ntry:\n page = int(request.args.get('page'))\nexcept (ValueError, TypeError):\n page = 1\nreturn TrackService.get_popular_tracks(page, user_uuid)",
"user_uuid = get_jwt_identity()\ndata = request.get_json()\nreturn TrackService.add_additional_track(user_uuid, data)"
] | <|body_start_0|>
user_uuid = get_jwt_identity()
try:
page = int(request.args.get('page'))
except (ValueError, TypeError):
page = 1
return TrackService.get_popular_tracks(page, user_uuid)
<|end_body_0|>
<|body_start_1|>
user_uuid = get_jwt_identity()
... | TrackResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrackResource:
def get(self):
"""Get list of the most popular Tracks"""
<|body_0|>
def post(self):
"""Add additional Track for validation"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user_uuid = get_jwt_identity()
try:
page = ... | stack_v2_sparse_classes_36k_train_012217 | 8,885 | no_license | [
{
"docstring": "Get list of the most popular Tracks",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Add additional Track for validation",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014181 | Implement the Python class `TrackResource` described below.
Class description:
Implement the TrackResource class.
Method signatures and docstrings:
- def get(self): Get list of the most popular Tracks
- def post(self): Add additional Track for validation | Implement the Python class `TrackResource` described below.
Class description:
Implement the TrackResource class.
Method signatures and docstrings:
- def get(self): Get list of the most popular Tracks
- def post(self): Add additional Track for validation
<|skeleton|>
class TrackResource:
def get(self):
... | 2e7b4e07f149ede884cfe37130d9842ff9bb7be2 | <|skeleton|>
class TrackResource:
def get(self):
"""Get list of the most popular Tracks"""
<|body_0|>
def post(self):
"""Add additional Track for validation"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TrackResource:
def get(self):
"""Get list of the most popular Tracks"""
user_uuid = get_jwt_identity()
try:
page = int(request.args.get('page'))
except (ValueError, TypeError):
page = 1
return TrackService.get_popular_tracks(page, user_uuid)
... | the_stack_v2_python_sparse | src/resources/track_resource.py | RomainCtl/RecoFinement-api | train | 0 | |
a6acebb61291716f567fc716a84334a0552fcf38 | [
"if not request.user.is_superuser:\n return HttpResponseForbidden()\nextension = ReviewBotExtension.instance\nuser = get_object_or_404(User, pk=extension.settings.get('user'))\nreturn HttpResponse(json.dumps(_serialize_user(request, user)), content_type='application/json')",
"if not request.user.is_superuser:\... | <|body_start_0|>
if not request.user.is_superuser:
return HttpResponseForbidden()
extension = ReviewBotExtension.instance
user = get_object_or_404(User, pk=extension.settings.get('user'))
return HttpResponse(json.dumps(_serialize_user(request, user)), content_type='applicatio... | An endpoint for setting the user for Review Bot. | ConfigureUserView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigureUserView:
"""An endpoint for setting the user for Review Bot."""
def get(self, request):
"""Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user."""
... | stack_v2_sparse_classes_36k_train_012218 | 11,244 | permissive | [
{
"docstring": "Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user.",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Create a new user for Review Bo... | 2 | null | Implement the Python class `ConfigureUserView` described below.
Class description:
An endpoint for setting the user for Review Bot.
Method signatures and docstrings:
- def get(self, request): Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A re... | Implement the Python class `ConfigureUserView` described below.
Class description:
An endpoint for setting the user for Review Bot.
Method signatures and docstrings:
- def get(self, request): Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A re... | b59b566e127b5ef1b08f3189f1aa0194b7437d94 | <|skeleton|>
class ConfigureUserView:
"""An endpoint for setting the user for Review Bot."""
def get(self, request):
"""Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConfigureUserView:
"""An endpoint for setting the user for Review Bot."""
def get(self, request):
"""Return the configured user. Args: request (django.http.HttpRequest): The HTTP request. Returns: django.http.HttpResponse: A response containing the currently-configured user."""
if not req... | the_stack_v2_python_sparse | extension/reviewbotext/views.py | reviewboard/ReviewBot | train | 110 |
594f253eadf5775d70fc88558aaf3ed584f45560 | [
"random.seed(102938482634)\npoint_cloud = load(os.path.join('testdata', 'AHN3.las'))\nnum_all_pc_points = len(point_cloud[keys.point]['x']['data'])\nrand_indices = [random.randint(0, num_all_pc_points) for _ in range(20)]\ntarget_point_cloud = utils.copy_point_cloud(point_cloud, rand_indices)\nradius = 2.5\nneighbo... | <|body_start_0|>
random.seed(102938482634)
point_cloud = load(os.path.join('testdata', 'AHN3.las'))
num_all_pc_points = len(point_cloud[keys.point]['x']['data'])
rand_indices = [random.randint(0, num_all_pc_points) for _ in range(20)]
target_point_cloud = utils.copy_point_cloud(p... | TestExtractEigenValues | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestExtractEigenValues:
def test_eigenvalues_in_cylinders(self):
"""Test provenance added (This should actually be part the general feature extractor test suite)."""
<|body_0|>
def test_eigenvalues_of_too_few_points_results_in_0():
"""If there are too few points to c... | stack_v2_sparse_classes_36k_train_012219 | 11,643 | permissive | [
{
"docstring": "Test provenance added (This should actually be part the general feature extractor test suite).",
"name": "test_eigenvalues_in_cylinders",
"signature": "def test_eigenvalues_in_cylinders(self)"
},
{
"docstring": "If there are too few points to calculate the eigen values don't outp... | 2 | stack_v2_sparse_classes_30k_train_009583 | Implement the Python class `TestExtractEigenValues` described below.
Class description:
Implement the TestExtractEigenValues class.
Method signatures and docstrings:
- def test_eigenvalues_in_cylinders(self): Test provenance added (This should actually be part the general feature extractor test suite).
- def test_eig... | Implement the Python class `TestExtractEigenValues` described below.
Class description:
Implement the TestExtractEigenValues class.
Method signatures and docstrings:
- def test_eigenvalues_in_cylinders(self): Test provenance added (This should actually be part the general feature extractor test suite).
- def test_eig... | f6c22841dcbd375639c7f7aecec70f2602b91ee4 | <|skeleton|>
class TestExtractEigenValues:
def test_eigenvalues_in_cylinders(self):
"""Test provenance added (This should actually be part the general feature extractor test suite)."""
<|body_0|>
def test_eigenvalues_of_too_few_points_results_in_0():
"""If there are too few points to c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestExtractEigenValues:
def test_eigenvalues_in_cylinders(self):
"""Test provenance added (This should actually be part the general feature extractor test suite)."""
random.seed(102938482634)
point_cloud = load(os.path.join('testdata', 'AHN3.las'))
num_all_pc_points = len(point... | the_stack_v2_python_sparse | laserchicken/feature_extractor/test_eigenvals_feature_extractor.py | eEcoLiDAR/laserchicken | train | 28 | |
ca09b011e46cc3e2540532ef0366740189e496e3 | [
"linear.drop_data()\nself.assertEqual(linear.show_available_products(), {})\nwith self.assertRaises(FileNotFoundError):\n result = linear.import_data('data2', 'p.csv', 'c.csv', 'r.csv')\nresult = linear.import_data('data', 'products.csv', 'customers.csv', 'rentals.csv')\nself.assertEqual(result[0][0], 1000)\nsel... | <|body_start_0|>
linear.drop_data()
self.assertEqual(linear.show_available_products(), {})
with self.assertRaises(FileNotFoundError):
result = linear.import_data('data2', 'p.csv', 'c.csv', 'r.csv')
result = linear.import_data('data', 'products.csv', 'customers.csv', 'rentals.... | Tests for population and data integrity of database. | RentalDbTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RentalDbTest:
"""Tests for population and data integrity of database."""
def test_1_import(self):
"""Test that the records are successfully imported."""
<|body_0|>
def test_2_show_rentals(self):
"""Test the integrity of the returned dictionary of active rentals."... | stack_v2_sparse_classes_36k_train_012220 | 3,511 | no_license | [
{
"docstring": "Test that the records are successfully imported.",
"name": "test_1_import",
"signature": "def test_1_import(self)"
},
{
"docstring": "Test the integrity of the returned dictionary of active rentals.",
"name": "test_2_show_rentals",
"signature": "def test_2_show_rentals(se... | 2 | stack_v2_sparse_classes_30k_train_000657 | Implement the Python class `RentalDbTest` described below.
Class description:
Tests for population and data integrity of database.
Method signatures and docstrings:
- def test_1_import(self): Test that the records are successfully imported.
- def test_2_show_rentals(self): Test the integrity of the returned dictionar... | Implement the Python class `RentalDbTest` described below.
Class description:
Tests for population and data integrity of database.
Method signatures and docstrings:
- def test_1_import(self): Test that the records are successfully imported.
- def test_2_show_rentals(self): Test the integrity of the returned dictionar... | 5dac60f39e3909ff05b26721d602ed20f14d6be3 | <|skeleton|>
class RentalDbTest:
"""Tests for population and data integrity of database."""
def test_1_import(self):
"""Test that the records are successfully imported."""
<|body_0|>
def test_2_show_rentals(self):
"""Test the integrity of the returned dictionary of active rentals."... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RentalDbTest:
"""Tests for population and data integrity of database."""
def test_1_import(self):
"""Test that the records are successfully imported."""
linear.drop_data()
self.assertEqual(linear.show_available_products(), {})
with self.assertRaises(FileNotFoundError):
... | the_stack_v2_python_sparse | students/shodges/lesson07/test_database.py | JavaRod/SP_Python220B_2019 | train | 1 |
ecb74adb3c71d99676310d8ec96083c46b4f92f0 | [
"super(QldbEvent, self).__init__(start_time)\nself.event_id = 'qldb-{}'.format(str(uuid4()))\nself.resource['name'] = getattr(instance.__getattribute__('_transaction')._session, '_ledger_name')\nself.resource['operation'] = wrapped.__func__.__name__\nself.resource['metadata']['query'] = args[0]\nadd_data_if_needed(... | <|body_start_0|>
super(QldbEvent, self).__init__(start_time)
self.event_id = 'qldb-{}'.format(str(uuid4()))
self.resource['name'] = getattr(instance.__getattribute__('_transaction')._session, '_ledger_name')
self.resource['operation'] = wrapped.__func__.__name__
self.resource['me... | Represents base pyqldb event. | QldbEvent | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QldbEvent:
"""Represents base pyqldb event."""
def __init__(self, wrapped, instance, args, kwargs, start_time, response, exception):
"""Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: wrapt's args :param kwargs: wrapt's kwargs :param start_t... | stack_v2_sparse_classes_36k_train_012221 | 2,852 | permissive | [
{
"docstring": "Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: wrapt's args :param kwargs: wrapt's kwargs :param start_time: Start timestamp (epoch) :param response: response data :param exception: Exception (if happened)",
"name": "__init__",
"signature": "de... | 2 | stack_v2_sparse_classes_30k_train_009810 | Implement the Python class `QldbEvent` described below.
Class description:
Represents base pyqldb event.
Method signatures and docstrings:
- def __init__(self, wrapped, instance, args, kwargs, start_time, response, exception): Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: ... | Implement the Python class `QldbEvent` described below.
Class description:
Represents base pyqldb event.
Method signatures and docstrings:
- def __init__(self, wrapped, instance, args, kwargs, start_time, response, exception): Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: ... | 91e28fe43bc4f42152fb156145088cb8c9f69b85 | <|skeleton|>
class QldbEvent:
"""Represents base pyqldb event."""
def __init__(self, wrapped, instance, args, kwargs, start_time, response, exception):
"""Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: wrapt's args :param kwargs: wrapt's kwargs :param start_t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QldbEvent:
"""Represents base pyqldb event."""
def __init__(self, wrapped, instance, args, kwargs, start_time, response, exception):
"""Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: wrapt's args :param kwargs: wrapt's kwargs :param start_time: Start ti... | the_stack_v2_python_sparse | epsagon/events/pyqldb.py | epsagon/epsagon-python | train | 57 |
27b8b8878b2be882e27fa6878b75b5b550604c68 | [
"super(IdentifierForm, self).__init__(*args, **kwargs)\nself.fields['name'].widget.attrs['readonly'] = True\nself.fields['name'].widget.attrs['style'] = 'background-color:white;'\nself.fields['url'].widget.attrs['readonly'] = True\nself.fields['url'].widget.attrs['style'] = 'background-color:white;'\nself.helper = ... | <|body_start_0|>
super(IdentifierForm, self).__init__(*args, **kwargs)
self.fields['name'].widget.attrs['readonly'] = True
self.fields['name'].widget.attrs['style'] = 'background-color:white;'
self.fields['url'].widget.attrs['readonly'] = True
self.fields['url'].widget.attrs['sty... | Render Identifier model form with appropriate attributes. | IdentifierForm | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IdentifierForm:
"""Render Identifier model form with appropriate attributes."""
def __init__(self, res_short_id=None, *args, **kwargs):
"""Render Identifier model form with appropriate attributes."""
<|body_0|>
def clean(self):
"""Ensure that identifier name attr... | stack_v2_sparse_classes_36k_train_012222 | 43,447 | permissive | [
{
"docstring": "Render Identifier model form with appropriate attributes.",
"name": "__init__",
"signature": "def __init__(self, res_short_id=None, *args, **kwargs)"
},
{
"docstring": "Ensure that identifier name attribute is not blank.",
"name": "clean",
"signature": "def clean(self)"
... | 2 | null | Implement the Python class `IdentifierForm` described below.
Class description:
Render Identifier model form with appropriate attributes.
Method signatures and docstrings:
- def __init__(self, res_short_id=None, *args, **kwargs): Render Identifier model form with appropriate attributes.
- def clean(self): Ensure that... | Implement the Python class `IdentifierForm` described below.
Class description:
Render Identifier model form with appropriate attributes.
Method signatures and docstrings:
- def __init__(self, res_short_id=None, *args, **kwargs): Render Identifier model form with appropriate attributes.
- def clean(self): Ensure that... | 69855813052243c702c9b0108d2eac3f4f1a768f | <|skeleton|>
class IdentifierForm:
"""Render Identifier model form with appropriate attributes."""
def __init__(self, res_short_id=None, *args, **kwargs):
"""Render Identifier model form with appropriate attributes."""
<|body_0|>
def clean(self):
"""Ensure that identifier name attr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IdentifierForm:
"""Render Identifier model form with appropriate attributes."""
def __init__(self, res_short_id=None, *args, **kwargs):
"""Render Identifier model form with appropriate attributes."""
super(IdentifierForm, self).__init__(*args, **kwargs)
self.fields['name'].widget.... | the_stack_v2_python_sparse | hs_core/forms.py | hydroshare/hydroshare | train | 207 |
e09eca9387b3fae4b74f7f48c362b8b3d40da401 | [
"inputs = [x.strip('[]\"\\n') for x in sys_stdin]\na1 = self.cast_int_arr(inputs[0])\na2 = self.cast_int_arr(inputs[1])\nreturn (a1, a2)",
"if s == '':\n a = list()\nelse:\n a = [int(x) for x in s.split(',')]\nreturn a"
] | <|body_start_0|>
inputs = [x.strip('[]"\n') for x in sys_stdin]
a1 = self.cast_int_arr(inputs[0])
a2 = self.cast_int_arr(inputs[1])
return (a1, a2)
<|end_body_0|>
<|body_start_1|>
if s == '':
a = list()
else:
a = [int(x) for x in s.split(',')]
... | Input | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Input:
def stdin(self, sys_stdin):
"""Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: input arrays of integers :rtype: tup[list[int], list[int]]"""
<|body_0|>
def cast_int_arr(self, s):
"""Converts string to array of integers. :par... | stack_v2_sparse_classes_36k_train_012223 | 3,821 | permissive | [
{
"docstring": "Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: input arrays of integers :rtype: tup[list[int], list[int]]",
"name": "stdin",
"signature": "def stdin(self, sys_stdin)"
},
{
"docstring": "Converts string to array of integers. :param str s: input... | 2 | null | Implement the Python class `Input` described below.
Class description:
Implement the Input class.
Method signatures and docstrings:
- def stdin(self, sys_stdin): Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: input arrays of integers :rtype: tup[list[int], list[int]]
- def cast_in... | Implement the Python class `Input` described below.
Class description:
Implement the Input class.
Method signatures and docstrings:
- def stdin(self, sys_stdin): Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: input arrays of integers :rtype: tup[list[int], list[int]]
- def cast_in... | 69f90877c5466927e8b081c4268cbcda074813ec | <|skeleton|>
class Input:
def stdin(self, sys_stdin):
"""Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: input arrays of integers :rtype: tup[list[int], list[int]]"""
<|body_0|>
def cast_int_arr(self, s):
"""Converts string to array of integers. :par... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Input:
def stdin(self, sys_stdin):
"""Imports standard input. :param _io.TextIOWrapper sys_stdin: standard input :return: input arrays of integers :rtype: tup[list[int], list[int]]"""
inputs = [x.strip('[]"\n') for x in sys_stdin]
a1 = self.cast_int_arr(inputs[0])
a2 = self.cas... | the_stack_v2_python_sparse | 0349_intersection_two_arrays/python_source.py | arthurdysart/LeetCode | train | 0 | |
47920f83698f8f269a45844e31540e852c4ddde0 | [
"if not intervals:\n return 0\nintervals.sort(key=lambda d: d.start)\nendheap = [intervals[0].end]\nn = len(intervals)\nrooms = 1\nfor i in range(1, n):\n if endheap:\n if intervals[i].start < endheap[0]:\n rooms += 1\n else:\n heapq.heappop(endheap)\n heapq.heappush(end... | <|body_start_0|>
if not intervals:
return 0
intervals.sort(key=lambda d: d.start)
endheap = [intervals[0].end]
n = len(intervals)
rooms = 1
for i in range(1, n):
if endheap:
if intervals[i].start < endheap[0]:
ro... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minMeetingRooms(self, intervals):
""":type intervals: List[Interval] :rtype: int"""
<|body_0|>
def minMeetingRooms3(self, intervals):
""":type intervals: List[Interval] :rtype: int"""
<|body_1|>
def minMeetingRooms2(self, intervals):
... | stack_v2_sparse_classes_36k_train_012224 | 2,515 | no_license | [
{
"docstring": ":type intervals: List[Interval] :rtype: int",
"name": "minMeetingRooms",
"signature": "def minMeetingRooms(self, intervals)"
},
{
"docstring": ":type intervals: List[Interval] :rtype: int",
"name": "minMeetingRooms3",
"signature": "def minMeetingRooms3(self, intervals)"
... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minMeetingRooms(self, intervals): :type intervals: List[Interval] :rtype: int
- def minMeetingRooms3(self, intervals): :type intervals: List[Interval] :rtype: int
- def minMe... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minMeetingRooms(self, intervals): :type intervals: List[Interval] :rtype: int
- def minMeetingRooms3(self, intervals): :type intervals: List[Interval] :rtype: int
- def minMe... | 692bf0e5aab402d55463274e99ab4d0ed56ce64c | <|skeleton|>
class Solution:
def minMeetingRooms(self, intervals):
""":type intervals: List[Interval] :rtype: int"""
<|body_0|>
def minMeetingRooms3(self, intervals):
""":type intervals: List[Interval] :rtype: int"""
<|body_1|>
def minMeetingRooms2(self, intervals):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minMeetingRooms(self, intervals):
""":type intervals: List[Interval] :rtype: int"""
if not intervals:
return 0
intervals.sort(key=lambda d: d.start)
endheap = [intervals[0].end]
n = len(intervals)
rooms = 1
for i in range(1, n):... | the_stack_v2_python_sparse | 253-meeting_rooms_II.py | WweiL/LeetCode | train | 0 | |
f83b01297b3ec2befbbd4c2808adeefd689f4e89 | [
"current_app.logger.info(f'StalePaymentTask Ran at {datetime.datetime.now()}')\ncls._update_stale_payments()\ncls._delete_marked_payments()",
"stale_transactions = PaymentTransactionModel.find_stale_records(minutes=30)\nservice_unavailable_transactions = db.session.query(PaymentTransactionModel).join(PaymentModel... | <|body_start_0|>
current_app.logger.info(f'StalePaymentTask Ran at {datetime.datetime.now()}')
cls._update_stale_payments()
cls._delete_marked_payments()
<|end_body_0|>
<|body_start_1|>
stale_transactions = PaymentTransactionModel.find_stale_records(minutes=30)
service_unavailab... | Task to sync stale payments. | StalePaymentTask | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StalePaymentTask:
"""Task to sync stale payments."""
def update_stale_payments(cls):
"""Update stale payments."""
<|body_0|>
def _update_stale_payments(cls):
"""Update stale payment records. This is to handle edge cases where the user has completed payment and so... | stack_v2_sparse_classes_36k_train_012225 | 4,776 | permissive | [
{
"docstring": "Update stale payments.",
"name": "update_stale_payments",
"signature": "def update_stale_payments(cls)"
},
{
"docstring": "Update stale payment records. This is to handle edge cases where the user has completed payment and some error occured and payment status is not up-to-date."... | 3 | null | Implement the Python class `StalePaymentTask` described below.
Class description:
Task to sync stale payments.
Method signatures and docstrings:
- def update_stale_payments(cls): Update stale payments.
- def _update_stale_payments(cls): Update stale payment records. This is to handle edge cases where the user has com... | Implement the Python class `StalePaymentTask` described below.
Class description:
Task to sync stale payments.
Method signatures and docstrings:
- def update_stale_payments(cls): Update stale payments.
- def _update_stale_payments(cls): Update stale payment records. This is to handle edge cases where the user has com... | 0d71d37b0e08d11f6b6d9f59a4b202dfabc98fc1 | <|skeleton|>
class StalePaymentTask:
"""Task to sync stale payments."""
def update_stale_payments(cls):
"""Update stale payments."""
<|body_0|>
def _update_stale_payments(cls):
"""Update stale payment records. This is to handle edge cases where the user has completed payment and so... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StalePaymentTask:
"""Task to sync stale payments."""
def update_stale_payments(cls):
"""Update stale payments."""
current_app.logger.info(f'StalePaymentTask Ran at {datetime.datetime.now()}')
cls._update_stale_payments()
cls._delete_marked_payments()
def _update_stale... | the_stack_v2_python_sparse | jobs/payment-jobs/tasks/stale_payment_task.py | bcgov/sbc-pay | train | 6 |
29bbd165bf5fd1dfe6ac93da30dcd7f018c5e688 | [
"serializedData = ''\nnodeQueue = [root] if root else []\nwhile nodeQueue:\n for node in nodeQueue:\n if node:\n serializedData += str(node.val) + ' '\n else:\n serializedData += 'null' + ' '\n nodeQueue = [childNode for node in nodeQueue if node for childNode in [node.left... | <|body_start_0|>
serializedData = ''
nodeQueue = [root] if root else []
while nodeQueue:
for node in nodeQueue:
if node:
serializedData += str(node.val) + ' '
else:
serializedData += 'null' + ' '
node... | 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_012226 | 1,735 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | e05f29071d0badd081535e773f43ebc303aa12c4 | <|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"""
serializedData = ''
nodeQueue = [root] if root else []
while nodeQueue:
for node in nodeQueue:
if node:
serializedData += ... | the_stack_v2_python_sparse | LeetCode/BFS/449_SerializeAndDeserializeBST.py | HzCeee/Algorithms | train | 0 | |
2b9bbfa7bc0bbb909787bd219536e64943852ddc | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Proto file describing the Campaign Draft service. Service to manage campaign drafts. | CampaignDraftServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CampaignDraftServiceServicer:
"""Proto file describing the Campaign Draft service. Service to manage campaign drafts."""
def GetCampaignDraft(self, request, context):
"""Returns the requested campaign draft in full detail."""
<|body_0|>
def MutateCampaignDrafts(self, req... | stack_v2_sparse_classes_36k_train_012227 | 10,568 | permissive | [
{
"docstring": "Returns the requested campaign draft in full detail.",
"name": "GetCampaignDraft",
"signature": "def GetCampaignDraft(self, request, context)"
},
{
"docstring": "Creates, updates, or removes campaign drafts. Operation statuses are returned.",
"name": "MutateCampaignDrafts",
... | 4 | stack_v2_sparse_classes_30k_train_020770 | Implement the Python class `CampaignDraftServiceServicer` described below.
Class description:
Proto file describing the Campaign Draft service. Service to manage campaign drafts.
Method signatures and docstrings:
- def GetCampaignDraft(self, request, context): Returns the requested campaign draft in full detail.
- de... | Implement the Python class `CampaignDraftServiceServicer` described below.
Class description:
Proto file describing the Campaign Draft service. Service to manage campaign drafts.
Method signatures and docstrings:
- def GetCampaignDraft(self, request, context): Returns the requested campaign draft in full detail.
- de... | 969eff5b6c3cec59d21191fa178cffb6270074c3 | <|skeleton|>
class CampaignDraftServiceServicer:
"""Proto file describing the Campaign Draft service. Service to manage campaign drafts."""
def GetCampaignDraft(self, request, context):
"""Returns the requested campaign draft in full detail."""
<|body_0|>
def MutateCampaignDrafts(self, req... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CampaignDraftServiceServicer:
"""Proto file describing the Campaign Draft service. Service to manage campaign drafts."""
def GetCampaignDraft(self, request, context):
"""Returns the requested campaign draft in full detail."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context... | the_stack_v2_python_sparse | google/ads/google_ads/v6/proto/services/campaign_draft_service_pb2_grpc.py | VincentFritzsche/google-ads-python | train | 0 |
49dcb3083f5d15e4ca1b3e5173d2484cb674f8a9 | [
"checked_dict = dict()\nfor char in string:\n if checked_dict.get(char):\n return True\n checked_dict[char] = 1\nreturn False",
"max_len = len(s)\nif max_len < 2:\n return max_len\nfor idx in range(max_len, 1, -1):\n for start in range(0, max_len - idx + 1):\n if not self.has_repeat_char... | <|body_start_0|>
checked_dict = dict()
for char in string:
if checked_dict.get(char):
return True
checked_dict[char] = 1
return False
<|end_body_0|>
<|body_start_1|>
max_len = len(s)
if max_len < 2:
return max_len
for i... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def has_repeat_char(string):
"""检查字符串是否包含重复字符 :param string: 原始字符串"""
<|body_0|>
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
checked_dict = dict()
for char in s... | stack_v2_sparse_classes_36k_train_012228 | 32,941 | no_license | [
{
"docstring": "检查字符串是否包含重复字符 :param string: 原始字符串",
"name": "has_repeat_char",
"signature": "def has_repeat_char(string)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016765 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def has_repeat_char(string): 检查字符串是否包含重复字符 :param string: 原始字符串
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def has_repeat_char(string): 检查字符串是否包含重复字符 :param string: 原始字符串
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def has_repea... | 255f49e3a7f437d6f2f8155dcca646d34dd5bbfa | <|skeleton|>
class Solution:
def has_repeat_char(string):
"""检查字符串是否包含重复字符 :param string: 原始字符串"""
<|body_0|>
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def has_repeat_char(string):
"""检查字符串是否包含重复字符 :param string: 原始字符串"""
checked_dict = dict()
for char in string:
if checked_dict.get(char):
return True
checked_dict[char] = 1
return False
def lengthOfLongestSubstring(self, s... | the_stack_v2_python_sparse | 3.py | Eastwu5788/LeetCode | train | 0 | |
451d606904da780e8a2734d472907bf84574007e | [
"if self._listeners is None:\n self._listeners = weakref.WeakValueDictionary()\nself._listeners[id(listener)] = listener",
"if self._listeners is None:\n return\nwith suppress(KeyError):\n del self._listeners[id(listener)]",
"if self._listeners is None:\n return\nmethod_name = f'_update_{notificatio... | <|body_start_0|>
if self._listeners is None:
self._listeners = weakref.WeakValueDictionary()
self._listeners[id(listener)] = listener
<|end_body_0|>
<|body_start_1|>
if self._listeners is None:
return
with suppress(KeyError):
del self._listeners[id(li... | Mixin class that provides services by which objects can register listeners to changes on that object. All methods provided by this class are underscored, since this is intended for internal use to communicate between classes in a generic way, and is not machinery that should be exposed to users of the classes involved.... | NotifierMixin | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NotifierMixin:
"""Mixin class that provides services by which objects can register listeners to changes on that object. All methods provided by this class are underscored, since this is intended for internal use to communicate between classes in a generic way, and is not machinery that should be ... | stack_v2_sparse_classes_36k_train_012229 | 29,904 | permissive | [
{
"docstring": "Add an object to the list of listeners to notify of changes to this object. This adds a weakref to the list of listeners that is removed from the listeners list when the listener has no other references to it.",
"name": "_add_listener",
"signature": "def _add_listener(self, listener)"
... | 4 | null | Implement the Python class `NotifierMixin` described below.
Class description:
Mixin class that provides services by which objects can register listeners to changes on that object. All methods provided by this class are underscored, since this is intended for internal use to communicate between classes in a generic wa... | Implement the Python class `NotifierMixin` described below.
Class description:
Mixin class that provides services by which objects can register listeners to changes on that object. All methods provided by this class are underscored, since this is intended for internal use to communicate between classes in a generic wa... | 53188c39a23c33b72df5850ec59e31886f84e29d | <|skeleton|>
class NotifierMixin:
"""Mixin class that provides services by which objects can register listeners to changes on that object. All methods provided by this class are underscored, since this is intended for internal use to communicate between classes in a generic way, and is not machinery that should be ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NotifierMixin:
"""Mixin class that provides services by which objects can register listeners to changes on that object. All methods provided by this class are underscored, since this is intended for internal use to communicate between classes in a generic way, and is not machinery that should be exposed to us... | the_stack_v2_python_sparse | astropy/io/fits/util.py | astropy/astropy | train | 3,922 |
cdcef1ae782e52f73075323746554944e8b32cb2 | [
"self.__size = size\nself.__cache = OrderedDict()\nself.__label = label",
"try:\n value = self.__cache.pop(key)\n self.__cache[key] = value\n return value\nexcept KeyError:\n return None",
"try:\n try:\n self.__cache.pop(key)\n except KeyError:\n if len(self.__cache) >= self.__si... | <|body_start_0|>
self.__size = size
self.__cache = OrderedDict()
self.__label = label
<|end_body_0|>
<|body_start_1|>
try:
value = self.__cache.pop(key)
self.__cache[key] = value
return value
except KeyError:
return None
<|end_body... | LRU style cache. | CacheUtils | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CacheUtils:
"""LRU style cache."""
def __init__(self, size=10, label='cache'):
"""LRU style cache Args: size (int, optional): maximum number of elements in the cache. Defaults to 10. label (str, optional): A label an instance of the cache. Defaults to "cache"."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_012230 | 1,828 | permissive | [
{
"docstring": "LRU style cache Args: size (int, optional): maximum number of elements in the cache. Defaults to 10. label (str, optional): A label an instance of the cache. Defaults to \"cache\".",
"name": "__init__",
"signature": "def __init__(self, size=10, label='cache')"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_007686 | Implement the Python class `CacheUtils` described below.
Class description:
LRU style cache.
Method signatures and docstrings:
- def __init__(self, size=10, label='cache'): LRU style cache Args: size (int, optional): maximum number of elements in the cache. Defaults to 10. label (str, optional): A label an instance o... | Implement the Python class `CacheUtils` described below.
Class description:
LRU style cache.
Method signatures and docstrings:
- def __init__(self, size=10, label='cache'): LRU style cache Args: size (int, optional): maximum number of elements in the cache. Defaults to 10. label (str, optional): A label an instance o... | 02178b2e04eb80e21caaa1c596d904af91b8e502 | <|skeleton|>
class CacheUtils:
"""LRU style cache."""
def __init__(self, size=10, label='cache'):
"""LRU style cache Args: size (int, optional): maximum number of elements in the cache. Defaults to 10. label (str, optional): A label an instance of the cache. Defaults to "cache"."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CacheUtils:
"""LRU style cache."""
def __init__(self, size=10, label='cache'):
"""LRU style cache Args: size (int, optional): maximum number of elements in the cache. Defaults to 10. label (str, optional): A label an instance of the cache. Defaults to "cache"."""
self.__size = size
... | the_stack_v2_python_sparse | rcsb/utils/io/CacheUtils.py | rcsb/py-rcsb_utils_io | train | 0 |
edb73ac1fb6f4b75d99e624b56a68a0560c4425a | [
"try:\n logger.info('Starting model version %s for project %s', model_version, project_name)\n lookoutvision_client.start_model(ProjectName=project_name, ModelVersion=model_version, MinInferenceUnits=min_inference_units)\n print('Starting hosting...')\n status = ''\n finished = False\n while finis... | <|body_start_0|>
try:
logger.info('Starting model version %s for project %s', model_version, project_name)
lookoutvision_client.start_model(ProjectName=project_name, ModelVersion=model_version, MinInferenceUnits=min_inference_units)
print('Starting hosting...')
st... | Shows how to start and stop a Lookout for Vision Model. Also shows how to list the models that are currently running. | Hosting | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Hosting:
"""Shows how to start and stop a Lookout for Vision Model. Also shows how to list the models that are currently running."""
def start_model(lookoutvision_client, project_name, model_version, min_inference_units):
"""Starts the hosting of a Lookout for Vision model. :param lo... | stack_v2_sparse_classes_36k_train_012231 | 6,335 | permissive | [
{
"docstring": "Starts the hosting of a Lookout for Vision model. :param lookoutvision_client: A Boto3 Lookout for Vision client. :param project_name: The name of the project that contains the version of the model that you want to start hosting. :param model_version: The version of the model that you want to st... | 3 | stack_v2_sparse_classes_30k_train_011102 | Implement the Python class `Hosting` described below.
Class description:
Shows how to start and stop a Lookout for Vision Model. Also shows how to list the models that are currently running.
Method signatures and docstrings:
- def start_model(lookoutvision_client, project_name, model_version, min_inference_units): St... | Implement the Python class `Hosting` described below.
Class description:
Shows how to start and stop a Lookout for Vision Model. Also shows how to list the models that are currently running.
Method signatures and docstrings:
- def start_model(lookoutvision_client, project_name, model_version, min_inference_units): St... | dec41fb589043ac9d8667aac36fb88a53c3abe50 | <|skeleton|>
class Hosting:
"""Shows how to start and stop a Lookout for Vision Model. Also shows how to list the models that are currently running."""
def start_model(lookoutvision_client, project_name, model_version, min_inference_units):
"""Starts the hosting of a Lookout for Vision model. :param lo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Hosting:
"""Shows how to start and stop a Lookout for Vision Model. Also shows how to list the models that are currently running."""
def start_model(lookoutvision_client, project_name, model_version, min_inference_units):
"""Starts the hosting of a Lookout for Vision model. :param lookoutvision_c... | the_stack_v2_python_sparse | python/example_code/lookoutvision/hosting.py | awsdocs/aws-doc-sdk-examples | train | 8,240 |
4e9b8c123a2225ecf7660fbd919f985063439c33 | [
"recommendation = Recommendation.query.filter_by(id=id).first()\nif recommendation is None:\n return ({'message': 'Recommendation does not exist'}, 404)\nreturn recommendation_schema.dump(recommendation)",
"with db.session.no_autoflush:\n req = api.payload\n recommendation = Recommendation.query.filter_b... | <|body_start_0|>
recommendation = Recommendation.query.filter_by(id=id).first()
if recommendation is None:
return ({'message': 'Recommendation does not exist'}, 404)
return recommendation_schema.dump(recommendation)
<|end_body_0|>
<|body_start_1|>
with db.session.no_autoflus... | SingleRecommendation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SingleRecommendation:
def get(self, id):
"""Get Recommendation by id"""
<|body_0|>
def patch(self, id):
"""Update a Recommendation"""
<|body_1|>
def delete(self, id):
"""Delete a Recommendation by id"""
<|body_2|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_36k_train_012232 | 7,370 | no_license | [
{
"docstring": "Get Recommendation by id",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Update a Recommendation",
"name": "patch",
"signature": "def patch(self, id)"
},
{
"docstring": "Delete a Recommendation by id",
"name": "delete",
"signature": "d... | 3 | stack_v2_sparse_classes_30k_train_018514 | Implement the Python class `SingleRecommendation` described below.
Class description:
Implement the SingleRecommendation class.
Method signatures and docstrings:
- def get(self, id): Get Recommendation by id
- def patch(self, id): Update a Recommendation
- def delete(self, id): Delete a Recommendation by id | Implement the Python class `SingleRecommendation` described below.
Class description:
Implement the SingleRecommendation class.
Method signatures and docstrings:
- def get(self, id): Get Recommendation by id
- def patch(self, id): Update a Recommendation
- def delete(self, id): Delete a Recommendation by id
<|skelet... | ae78fff9888b0f68d9403d7f65cba086dabb3802 | <|skeleton|>
class SingleRecommendation:
def get(self, id):
"""Get Recommendation by id"""
<|body_0|>
def patch(self, id):
"""Update a Recommendation"""
<|body_1|>
def delete(self, id):
"""Delete a Recommendation by id"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SingleRecommendation:
def get(self, id):
"""Get Recommendation by id"""
recommendation = Recommendation.query.filter_by(id=id).first()
if recommendation is None:
return ({'message': 'Recommendation does not exist'}, 404)
return recommendation_schema.dump(recommendat... | the_stack_v2_python_sparse | api/v1/recommendations.py | mythril-io/flask-api | train | 0 | |
535f5da35483c84166da689e686287a0887e4e36 | [
"if isinstance(value, str):\n path = epath.Path(value)\n return cls(root_path=path.parent, filenames=[path.name])\nelif isinstance(value, dict):\n return cls(root_path=epath.Path(value['root_path']), filenames=value['filenames'])\nelse:\n raise ValueError(f'Invalid input: {value}')",
"if len(self.file... | <|body_start_0|>
if isinstance(value, str):
path = epath.Path(value)
return cls(root_path=path.parent, filenames=[path.name])
elif isinstance(value, dict):
return cls(root_path=epath.Path(value['root_path']), filenames=value['filenames'])
else:
rai... | Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package | DatasetSource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatasetSource:
"""Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package"""
def from_json(cls, value: utils.JsonValue) -> 'D... | stack_v2_sparse_classes_36k_train_012233 | 2,642 | permissive | [
{
"docstring": "Imports from JSON.",
"name": "from_json",
"signature": "def from_json(cls, value: utils.JsonValue) -> 'DatasetSource'"
},
{
"docstring": "Exports to JSON.",
"name": "to_json",
"signature": "def to_json(self) -> utils.JsonValue"
}
] | 2 | null | Implement the Python class `DatasetSource` described below.
Class description:
Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package
Method signature... | Implement the Python class `DatasetSource` described below.
Class description:
Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package
Method signature... | 41ae3cf1439711ed2f50f99caa0e6702082e6d37 | <|skeleton|>
class DatasetSource:
"""Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package"""
def from_json(cls, value: utils.JsonValue) -> 'D... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DatasetSource:
"""Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package"""
def from_json(cls, value: utils.JsonValue) -> 'DatasetSource'... | the_stack_v2_python_sparse | tensorflow_datasets/core/community/dataset_sources.py | tensorflow/datasets | train | 4,224 |
3014d6cf414efeb2a4c9e797927face61ba22b6a | [
"datas = []\nif file_path != '':\n with open(file_path, encoding='utf-8') as f:\n datas = yaml.safe_load(f)\n if data_key == '':\n return datas\n else:\n return datas[data_key]\nreturn datas",
"logger = logging.getLogger(log_id)\nlogger.setLevel(logging.DEBUG)\nif not logger.handlers... | <|body_start_0|>
datas = []
if file_path != '':
with open(file_path, encoding='utf-8') as f:
datas = yaml.safe_load(f)
if data_key == '':
return datas
else:
return datas[data_key]
return datas
<|end_body_0|>
<|b... | Utils | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Utils:
def yaml_load(self, file_path, data_key=''):
"""yaml文件流转成json数据对象 :param file_path: :param data_key: :return:"""
<|body_0|>
def log_init(self, log_id, log_name):
"""规范输出日志的格式 :param log_id: log内容中的标识 :param log_name: 生成日志的名字 :return:"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k_train_012234 | 2,525 | no_license | [
{
"docstring": "yaml文件流转成json数据对象 :param file_path: :param data_key: :return:",
"name": "yaml_load",
"signature": "def yaml_load(self, file_path, data_key='')"
},
{
"docstring": "规范输出日志的格式 :param log_id: log内容中的标识 :param log_name: 生成日志的名字 :return:",
"name": "log_init",
"signature": "def ... | 2 | stack_v2_sparse_classes_30k_train_015025 | Implement the Python class `Utils` described below.
Class description:
Implement the Utils class.
Method signatures and docstrings:
- def yaml_load(self, file_path, data_key=''): yaml文件流转成json数据对象 :param file_path: :param data_key: :return:
- def log_init(self, log_id, log_name): 规范输出日志的格式 :param log_id: log内容中的标识 :p... | Implement the Python class `Utils` described below.
Class description:
Implement the Utils class.
Method signatures and docstrings:
- def yaml_load(self, file_path, data_key=''): yaml文件流转成json数据对象 :param file_path: :param data_key: :return:
- def log_init(self, log_id, log_name): 规范输出日志的格式 :param log_id: log内容中的标识 :p... | 955a6453d0e041a5af19f1eadaac00c15e9d5850 | <|skeleton|>
class Utils:
def yaml_load(self, file_path, data_key=''):
"""yaml文件流转成json数据对象 :param file_path: :param data_key: :return:"""
<|body_0|>
def log_init(self, log_id, log_name):
"""规范输出日志的格式 :param log_id: log内容中的标识 :param log_name: 生成日志的名字 :return:"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Utils:
def yaml_load(self, file_path, data_key=''):
"""yaml文件流转成json数据对象 :param file_path: :param data_key: :return:"""
datas = []
if file_path != '':
with open(file_path, encoding='utf-8') as f:
datas = yaml.safe_load(f)
if data_key == '':
... | the_stack_v2_python_sparse | classWorks/feishu1/web/utils.py | jumper0419/HogwartsStudy | train | 2 | |
8d6d0e55c271ac7df25c5791d771120863bccd2d | [
"super().__init__()\nself._config_entry = config_entry\nself._entry_id = config_entry.entry_id",
"errors = {}\nif user_input is not None:\n return self.async_create_entry(title='', data=user_input)\nreturn self.async_show_form(step_id='init', data_schema=create_schema(self._config_entry, step='init'), errors=e... | <|body_start_0|>
super().__init__()
self._config_entry = config_entry
self._entry_id = config_entry.entry_id
<|end_body_0|>
<|body_start_1|>
errors = {}
if user_input is not None:
return self.async_create_entry(title='', data=user_input)
return self.async_sho... | Changing options flow. | SleepAsAndroidOptionsFlow | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SleepAsAndroidOptionsFlow:
"""Changing options flow."""
def __init__(self, config_entry):
"""Initialize options flow."""
<|body_0|>
async def async_step_init(self, user_input=None):
"""Manage the options."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_012235 | 3,504 | no_license | [
{
"docstring": "Initialize options flow.",
"name": "__init__",
"signature": "def __init__(self, config_entry)"
},
{
"docstring": "Manage the options.",
"name": "async_step_init",
"signature": "async def async_step_init(self, user_input=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014254 | Implement the Python class `SleepAsAndroidOptionsFlow` described below.
Class description:
Changing options flow.
Method signatures and docstrings:
- def __init__(self, config_entry): Initialize options flow.
- async def async_step_init(self, user_input=None): Manage the options. | Implement the Python class `SleepAsAndroidOptionsFlow` described below.
Class description:
Changing options flow.
Method signatures and docstrings:
- def __init__(self, config_entry): Initialize options flow.
- async def async_step_init(self, user_input=None): Manage the options.
<|skeleton|>
class SleepAsAndroidOpt... | 3c985391265c94c733cf333201c72010c6296900 | <|skeleton|>
class SleepAsAndroidOptionsFlow:
"""Changing options flow."""
def __init__(self, config_entry):
"""Initialize options flow."""
<|body_0|>
async def async_step_init(self, user_input=None):
"""Manage the options."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SleepAsAndroidOptionsFlow:
"""Changing options flow."""
def __init__(self, config_entry):
"""Initialize options flow."""
super().__init__()
self._config_entry = config_entry
self._entry_id = config_entry.entry_id
async def async_step_init(self, user_input=None):
... | the_stack_v2_python_sparse | custom_components/sleep_as_android/config_flow.py | SeLLeRoNe/HA-Config | train | 80 |
22b892923124f6f7b7432370b83ad91b0c545419 | [
"super(MaskNet, self).__init__()\nself.prep_block_1 = nn.Sequential(nn.Conv2d(in_channels=in_channels, out_channels=32, kernel_size=3, padding=1), nn.ReLU(), nn.BatchNorm2d(32), nn.Dropout(dropout_rate))\nself.prep_block_2 = nn.Sequential(nn.Conv2d(in_channels=in_channels, out_channels=32, kernel_size=3, padding=1)... | <|body_start_0|>
super(MaskNet, self).__init__()
self.prep_block_1 = nn.Sequential(nn.Conv2d(in_channels=in_channels, out_channels=32, kernel_size=3, padding=1), nn.ReLU(), nn.BatchNorm2d(32), nn.Dropout(dropout_rate))
self.prep_block_2 = nn.Sequential(nn.Conv2d(in_channels=in_channels, out_chan... | MaskNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaskNet:
def __init__(self, dropout_rate=0.0, in_channels=3):
"""This function instantiates all the model layers."""
<|body_0|>
def forward(self, x):
"""This function defines the forward pass of the model. Args: x: Input. Returns: Model output."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_012236 | 1,855 | permissive | [
{
"docstring": "This function instantiates all the model layers.",
"name": "__init__",
"signature": "def __init__(self, dropout_rate=0.0, in_channels=3)"
},
{
"docstring": "This function defines the forward pass of the model. Args: x: Input. Returns: Model output.",
"name": "forward",
"s... | 2 | stack_v2_sparse_classes_30k_train_008873 | Implement the Python class `MaskNet` described below.
Class description:
Implement the MaskNet class.
Method signatures and docstrings:
- def __init__(self, dropout_rate=0.0, in_channels=3): This function instantiates all the model layers.
- def forward(self, x): This function defines the forward pass of the model. A... | Implement the Python class `MaskNet` described below.
Class description:
Implement the MaskNet class.
Method signatures and docstrings:
- def __init__(self, dropout_rate=0.0, in_channels=3): This function instantiates all the model layers.
- def forward(self, x): This function defines the forward pass of the model. A... | 2eea883c96bf106774ea94464fc16c6baea86a95 | <|skeleton|>
class MaskNet:
def __init__(self, dropout_rate=0.0, in_channels=3):
"""This function instantiates all the model layers."""
<|body_0|>
def forward(self, x):
"""This function defines the forward pass of the model. Args: x: Input. Returns: Model output."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MaskNet:
def __init__(self, dropout_rate=0.0, in_channels=3):
"""This function instantiates all the model layers."""
super(MaskNet, self).__init__()
self.prep_block_1 = nn.Sequential(nn.Conv2d(in_channels=in_channels, out_channels=32, kernel_size=3, padding=1), nn.ReLU(), nn.BatchNorm2... | the_stack_v2_python_sparse | tensornet/model/masknet.py | shan18/Depth-Estimation-Segmentation | train | 7 | |
5c32b53d4576e8adb5f50df8d896445e1abb8177 | [
"lu = defaultdict(list)\nfor path in lib.files.walk(NOTESPATH, '.*\\\\.th\\\\.txt$'):\n for th in lib.dataparse.read_themes_from_txt(path, verbose=True):\n lu[th.name].append(path)\nfor name in lu:\n if len(lu[name]) > 1:\n log.debug(\"multiple theme definitions for '%s' in: %s\" % (name, lu[nam... | <|body_start_0|>
lu = defaultdict(list)
for path in lib.files.walk(NOTESPATH, '.*\\.th\\.txt$'):
for th in lib.dataparse.read_themes_from_txt(path, verbose=True):
lu[th.name].append(path)
for name in lu:
if len(lu[name]) > 1:
log.debug("mul... | Tests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tests:
def test_read_themes(self):
"""Check that all theme definitions can be read."""
<|body_0|>
def test_read_stories(self):
"""Check that all story definitions can be read."""
<|body_1|>
def test_read_storythemes(self):
"""Test that all themes... | stack_v2_sparse_classes_36k_train_012237 | 3,327 | no_license | [
{
"docstring": "Check that all theme definitions can be read.",
"name": "test_read_themes",
"signature": "def test_read_themes(self)"
},
{
"docstring": "Check that all story definitions can be read.",
"name": "test_read_stories",
"signature": "def test_read_stories(self)"
},
{
"d... | 4 | stack_v2_sparse_classes_30k_train_010482 | Implement the Python class `Tests` described below.
Class description:
Implement the Tests class.
Method signatures and docstrings:
- def test_read_themes(self): Check that all theme definitions can be read.
- def test_read_stories(self): Check that all story definitions can be read.
- def test_read_storythemes(self)... | Implement the Python class `Tests` described below.
Class description:
Implement the Tests class.
Method signatures and docstrings:
- def test_read_themes(self): Check that all theme definitions can be read.
- def test_read_stories(self): Check that all story definitions can be read.
- def test_read_storythemes(self)... | a19e323d2db2714c5c391b5e082459a3b5111a53 | <|skeleton|>
class Tests:
def test_read_themes(self):
"""Check that all theme definitions can be read."""
<|body_0|>
def test_read_stories(self):
"""Check that all story definitions can be read."""
<|body_1|>
def test_read_storythemes(self):
"""Test that all themes... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Tests:
def test_read_themes(self):
"""Check that all theme definitions can be read."""
lu = defaultdict(list)
for path in lib.files.walk(NOTESPATH, '.*\\.th\\.txt$'):
for th in lib.dataparse.read_themes_from_txt(path, verbose=True):
lu[th.name].append(path)
... | the_stack_v2_python_sparse | pylib/webtask/test_formatting.py | odinlake/tstp | train | 0 | |
3a391091e6dc7f4b366b9f62d3c03c5da0bb8bb5 | [
"path = urls.WIDS['GET_CLIENT_ATTACKS']\nparams = {'limit': limit, 'offset': offset, 'sort': sort, 'calculate_total': calculate_total}\nif group:\n params['group'] = group\nif label:\n params['label'] = label\nif site:\n params['site'] = site\nif swarm_id:\n params['swarm_id'] = swarm_id\nif start:\n ... | <|body_start_0|>
path = urls.WIDS['GET_CLIENT_ATTACKS']
params = {'limit': limit, 'offset': offset, 'sort': sort, 'calculate_total': calculate_total}
if group:
params['group'] = group
if label:
params['label'] = label
if site:
params['site'] = ... | A Python Class to obtain Aruba Central's Wireless Intrusion Detection details based on REST APIs. | WIDS | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WIDS:
"""A Python Class to obtain Aruba Central's Wireless Intrusion Detection details based on REST APIs."""
def list_client_attacks(self, conn, group=None, label=None, site=None, swarm_id=None, start=None, end=None, from_timestamp=None, to_timestamp=None, limit=100, calculate_total=True, s... | stack_v2_sparse_classes_36k_train_012238 | 22,300 | permissive | [
{
"docstring": "Get client attacks over a time period :param conn: Instance of class:`pycentral.ArubaCentralBase` to make an API call. :type conn: class:`pycentral.ArubaCentralBase` :param group: List of group names, defaults to None :type group: list, optional :param label: List of label names, defaults to Non... | 3 | stack_v2_sparse_classes_30k_val_000056 | Implement the Python class `WIDS` described below.
Class description:
A Python Class to obtain Aruba Central's Wireless Intrusion Detection details based on REST APIs.
Method signatures and docstrings:
- def list_client_attacks(self, conn, group=None, label=None, site=None, swarm_id=None, start=None, end=None, from_t... | Implement the Python class `WIDS` described below.
Class description:
A Python Class to obtain Aruba Central's Wireless Intrusion Detection details based on REST APIs.
Method signatures and docstrings:
- def list_client_attacks(self, conn, group=None, label=None, site=None, swarm_id=None, start=None, end=None, from_t... | d938396a18193473afbe54e6cc6697d2bd4954a7 | <|skeleton|>
class WIDS:
"""A Python Class to obtain Aruba Central's Wireless Intrusion Detection details based on REST APIs."""
def list_client_attacks(self, conn, group=None, label=None, site=None, swarm_id=None, start=None, end=None, from_timestamp=None, to_timestamp=None, limit=100, calculate_total=True, s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WIDS:
"""A Python Class to obtain Aruba Central's Wireless Intrusion Detection details based on REST APIs."""
def list_client_attacks(self, conn, group=None, label=None, site=None, swarm_id=None, start=None, end=None, from_timestamp=None, to_timestamp=None, limit=100, calculate_total=True, sort='-ts', of... | the_stack_v2_python_sparse | pycentral/rapids.py | jayp193/pycentral | train | 0 |
6ba5302d68666e08bc30863c4de3b4fa031b3267 | [
"bus = dbus.SessionBus()\ntry:\n self.__bus = bus.get_object('org.mpris.MediaPlayer2.spotify', '/org/mpris/MediaPlayer2')\n self.player = dbus.Interface(self.__bus, 'org.freedesktop.DBus.Properties')\n try:\n metadata = self.player.Get('org.mpris.MediaPlayer2.Player', 'Metadata')\n album = me... | <|body_start_0|>
bus = dbus.SessionBus()
try:
self.__bus = bus.get_object('org.mpris.MediaPlayer2.spotify', '/org/mpris/MediaPlayer2')
self.player = dbus.Interface(self.__bus, 'org.freedesktop.DBus.Properties')
try:
metadata = self.player.Get('org.mpri... | Py3status | [
"WTFPL",
"EPL-2.0",
"BSD-3-Clause",
"GPL-3.0-only",
"BSD-2-Clause",
"GPL-1.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Py3status:
def _get_text(self, i3s_config):
"""Get the current song metadatas (artist - title) there is a known bug for dbus property PlaybackStatus: https://community.spotify.com/t5/Help-Desktop-Linux-Windows-Web/DBus-MPRIS-interface-bug/td-p/1262889 retested on : 2016-02-22"""
... | stack_v2_sparse_classes_36k_train_012239 | 3,607 | permissive | [
{
"docstring": "Get the current song metadatas (artist - title) there is a known bug for dbus property PlaybackStatus: https://community.spotify.com/t5/Help-Desktop-Linux-Windows-Web/DBus-MPRIS-interface-bug/td-p/1262889 retested on : 2016-02-22",
"name": "_get_text",
"signature": "def _get_text(self, i... | 2 | stack_v2_sparse_classes_30k_train_020165 | Implement the Python class `Py3status` described below.
Class description:
Implement the Py3status class.
Method signatures and docstrings:
- def _get_text(self, i3s_config): Get the current song metadatas (artist - title) there is a known bug for dbus property PlaybackStatus: https://community.spotify.com/t5/Help-De... | Implement the Python class `Py3status` described below.
Class description:
Implement the Py3status class.
Method signatures and docstrings:
- def _get_text(self, i3s_config): Get the current song metadatas (artist - title) there is a known bug for dbus property PlaybackStatus: https://community.spotify.com/t5/Help-De... | a762517505ed8e3ecb6bc35edc5cc70d49f44ffd | <|skeleton|>
class Py3status:
def _get_text(self, i3s_config):
"""Get the current song metadatas (artist - title) there is a known bug for dbus property PlaybackStatus: https://community.spotify.com/t5/Help-Desktop-Linux-Windows-Web/DBus-MPRIS-interface-bug/td-p/1262889 retested on : 2016-02-22"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Py3status:
def _get_text(self, i3s_config):
"""Get the current song metadatas (artist - title) there is a known bug for dbus property PlaybackStatus: https://community.spotify.com/t5/Help-Desktop-Linux-Windows-Web/DBus-MPRIS-interface-bug/td-p/1262889 retested on : 2016-02-22"""
bus = dbus.Ses... | the_stack_v2_python_sparse | py3status/modules/spotify.py | nan0tube/py3status | train | 0 | |
2d7cfcb4b22e3b76139aa2e15e6782f478d2556f | [
"if port is None:\n port = 8080\nself._redirect_uri = REDIRECT_URI.format(port if port else 8080)\nself._auth_url = fn_opts.get('auth_url')\nself._token_url = fn_opts.get('token_url')\nself._client_id = fn_opts.get('client_id')\nself._client_secret = fn_opts.get('client_secret')\nself._refresh_token = fn_opts.ge... | <|body_start_0|>
if port is None:
port = 8080
self._redirect_uri = REDIRECT_URI.format(port if port else 8080)
self._auth_url = fn_opts.get('auth_url')
self._token_url = fn_opts.get('token_url')
self._client_id = fn_opts.get('client_id')
self._client_secret = ... | Class Responsible for handling OAuth2 authorization/authentication. | OAuth2Flow | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OAuth2Flow:
"""Class Responsible for handling OAuth2 authorization/authentication."""
def __init__(self, fn_opts, crsf_token=None, port=None):
""":param fn_opts: The app.config values for the app.(str) :param crsf_token: Secret used in requests to make request more secure.(str)"""
... | stack_v2_sparse_classes_36k_train_012240 | 5,128 | permissive | [
{
"docstring": ":param fn_opts: The app.config values for the app.(str) :param crsf_token: Secret used in requests to make request more secure.(str)",
"name": "__init__",
"signature": "def __init__(self, fn_opts, crsf_token=None, port=None)"
},
{
"docstring": "Get the OAuth2 authorization url fo... | 5 | null | Implement the Python class `OAuth2Flow` described below.
Class description:
Class Responsible for handling OAuth2 authorization/authentication.
Method signatures and docstrings:
- def __init__(self, fn_opts, crsf_token=None, port=None): :param fn_opts: The app.config values for the app.(str) :param crsf_token: Secret... | Implement the Python class `OAuth2Flow` described below.
Class description:
Class Responsible for handling OAuth2 authorization/authentication.
Method signatures and docstrings:
- def __init__(self, fn_opts, crsf_token=None, port=None): :param fn_opts: The app.config values for the app.(str) :param crsf_token: Secret... | 6878c78b94eeca407998a41ce8db2cc00f2b6758 | <|skeleton|>
class OAuth2Flow:
"""Class Responsible for handling OAuth2 authorization/authentication."""
def __init__(self, fn_opts, crsf_token=None, port=None):
""":param fn_opts: The app.config values for the app.(str) :param crsf_token: Secret used in requests to make request more secure.(str)"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OAuth2Flow:
"""Class Responsible for handling OAuth2 authorization/authentication."""
def __init__(self, fn_opts, crsf_token=None, port=None):
""":param fn_opts: The app.config values for the app.(str) :param crsf_token: Secret used in requests to make request more secure.(str)"""
if port... | the_stack_v2_python_sparse | oauth-utils/oauth_utils/lib/oauth2flow.py | ibmresilient/resilient-community-apps | train | 81 |
cf36466f7f6cdece9d2803946ecece5758e71016 | [
"address = self.get_object(request.user, address_id)\nserializedAddress = AddressSerializer(address, data=request.data, partial=True)\nif serializedAddress.is_valid():\n serializedAddress.save(owner=request.user)\n return Response({'address': serializedAddress.data})\nreturn Response({'error': serializedAddre... | <|body_start_0|>
address = self.get_object(request.user, address_id)
serializedAddress = AddressSerializer(address, data=request.data, partial=True)
if serializedAddress.is_valid():
serializedAddress.save(owner=request.user)
return Response({'address': serializedAddress.d... | MemberAddressDetail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MemberAddressDetail:
def put(self, request, address_id, format=None):
"""Modify an address created by this user, fields that are left empty will not be modified --- serializer : location.serializers.AddressSerializer"""
<|body_0|>
def delete(self, request, address_id, format... | stack_v2_sparse_classes_36k_train_012241 | 2,504 | no_license | [
{
"docstring": "Modify an address created by this user, fields that are left empty will not be modified --- serializer : location.serializers.AddressSerializer",
"name": "put",
"signature": "def put(self, request, address_id, format=None)"
},
{
"docstring": "Delets this address --- omit_serializ... | 2 | stack_v2_sparse_classes_30k_train_004320 | Implement the Python class `MemberAddressDetail` described below.
Class description:
Implement the MemberAddressDetail class.
Method signatures and docstrings:
- def put(self, request, address_id, format=None): Modify an address created by this user, fields that are left empty will not be modified --- serializer : lo... | Implement the Python class `MemberAddressDetail` described below.
Class description:
Implement the MemberAddressDetail class.
Method signatures and docstrings:
- def put(self, request, address_id, format=None): Modify an address created by this user, fields that are left empty will not be modified --- serializer : lo... | 6aef9c2db875ff77022f55d70bc785d612f092c0 | <|skeleton|>
class MemberAddressDetail:
def put(self, request, address_id, format=None):
"""Modify an address created by this user, fields that are left empty will not be modified --- serializer : location.serializers.AddressSerializer"""
<|body_0|>
def delete(self, request, address_id, format... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MemberAddressDetail:
def put(self, request, address_id, format=None):
"""Modify an address created by this user, fields that are left empty will not be modified --- serializer : location.serializers.AddressSerializer"""
address = self.get_object(request.user, address_id)
serializedAddr... | the_stack_v2_python_sparse | location/views.py | dynoto/ordergogo | train | 1 | |
c1dc2f0df073027de820071920a43badb81bb84d | [
"super().__init__(dynamic=True, **kwargs)\nself.max_edge = maximum_edge_length\nself.dimensions = homology_dimensions\nself.min_persistence = min_persistence if min_persistence is not None else [0.0 for _ in range(len(self.dimensions))]\nself.hcf = homology_coeff_field\nassert len(self.min_persistence) == len(self.... | <|body_start_0|>
super().__init__(dynamic=True, **kwargs)
self.max_edge = maximum_edge_length
self.dimensions = homology_dimensions
self.min_persistence = min_persistence if min_persistence is not None else [0.0 for _ in range(len(self.dimensions))]
self.hcf = homology_coeff_fiel... | TensorFlow layer for computing Rips persistence out of a point cloud | RipsLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RipsLayer:
"""TensorFlow layer for computing Rips persistence out of a point cloud"""
def __init__(self, homology_dimensions, maximum_edge_length=np.inf, min_persistence=None, homology_coeff_field=11, **kwargs):
"""Constructor for the RipsLayer class Parameters: maximum_edge_length (... | stack_v2_sparse_classes_36k_train_012242 | 4,886 | permissive | [
{
"docstring": "Constructor for the RipsLayer class Parameters: maximum_edge_length (float): maximum edge length for the Rips complex homology_dimensions (List[int]): list of homology dimensions min_persistence (List[float]): minimum distance-to-diagonal of the points in the output persistence diagrams (default... | 2 | stack_v2_sparse_classes_30k_train_021106 | Implement the Python class `RipsLayer` described below.
Class description:
TensorFlow layer for computing Rips persistence out of a point cloud
Method signatures and docstrings:
- def __init__(self, homology_dimensions, maximum_edge_length=np.inf, min_persistence=None, homology_coeff_field=11, **kwargs): Constructor ... | Implement the Python class `RipsLayer` described below.
Class description:
TensorFlow layer for computing Rips persistence out of a point cloud
Method signatures and docstrings:
- def __init__(self, homology_dimensions, maximum_edge_length=np.inf, min_persistence=None, homology_coeff_field=11, **kwargs): Constructor ... | 2f76d9416e145282adcd8264438480008bd59f77 | <|skeleton|>
class RipsLayer:
"""TensorFlow layer for computing Rips persistence out of a point cloud"""
def __init__(self, homology_dimensions, maximum_edge_length=np.inf, min_persistence=None, homology_coeff_field=11, **kwargs):
"""Constructor for the RipsLayer class Parameters: maximum_edge_length (... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RipsLayer:
"""TensorFlow layer for computing Rips persistence out of a point cloud"""
def __init__(self, homology_dimensions, maximum_edge_length=np.inf, min_persistence=None, homology_coeff_field=11, **kwargs):
"""Constructor for the RipsLayer class Parameters: maximum_edge_length (float): maxim... | the_stack_v2_python_sparse | src/python/gudhi/tensorflow/rips_layer.py | GUDHI/gudhi-devel | train | 212 |
ceab7d611160663aa0f71bcd078e3f56c910b26f | [
"attributes = node.attributes\nself.individual_address = IndividualAddress(self.get_attribute_value(attributes.get('IndividualAddress')))\nself.tool_key = self.get_attribute_value(attributes.get('ToolKey'))\nself.management_password = self.get_attribute_value(attributes.get('ManagementPassword'))\nself.authenticati... | <|body_start_0|>
attributes = node.attributes
self.individual_address = IndividualAddress(self.get_attribute_value(attributes.get('IndividualAddress')))
self.tool_key = self.get_attribute_value(attributes.get('ToolKey'))
self.management_password = self.get_attribute_value(attributes.get(... | Device in a knxkeys file. | XMLDevice | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class XMLDevice:
"""Device in a knxkeys file."""
def parse_xml(self, node: Element) -> None:
"""Parse all needed attributes from the given node map."""
<|body_0|>
def decrypt_attributes(self, password_hash: bytes, initialization_vector: bytes) -> None:
"""Decrypt attri... | stack_v2_sparse_classes_36k_train_012243 | 19,593 | permissive | [
{
"docstring": "Parse all needed attributes from the given node map.",
"name": "parse_xml",
"signature": "def parse_xml(self, node: Element) -> None"
},
{
"docstring": "Decrypt attributes.",
"name": "decrypt_attributes",
"signature": "def decrypt_attributes(self, password_hash: bytes, in... | 2 | stack_v2_sparse_classes_30k_train_009842 | Implement the Python class `XMLDevice` described below.
Class description:
Device in a knxkeys file.
Method signatures and docstrings:
- def parse_xml(self, node: Element) -> None: Parse all needed attributes from the given node map.
- def decrypt_attributes(self, password_hash: bytes, initialization_vector: bytes) -... | Implement the Python class `XMLDevice` described below.
Class description:
Device in a knxkeys file.
Method signatures and docstrings:
- def parse_xml(self, node: Element) -> None: Parse all needed attributes from the given node map.
- def decrypt_attributes(self, password_hash: bytes, initialization_vector: bytes) -... | 48d4e31365c15e632b275f0d129cd9f2b2b5717d | <|skeleton|>
class XMLDevice:
"""Device in a knxkeys file."""
def parse_xml(self, node: Element) -> None:
"""Parse all needed attributes from the given node map."""
<|body_0|>
def decrypt_attributes(self, password_hash: bytes, initialization_vector: bytes) -> None:
"""Decrypt attri... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class XMLDevice:
"""Device in a knxkeys file."""
def parse_xml(self, node: Element) -> None:
"""Parse all needed attributes from the given node map."""
attributes = node.attributes
self.individual_address = IndividualAddress(self.get_attribute_value(attributes.get('IndividualAddress')))... | the_stack_v2_python_sparse | xknx/secure/keyring.py | XKNX/xknx | train | 248 |
013c9018ed5c308ede628fd084f5bb063abb065f | [
"LOG.info('Initializing - Version:{}'.format(__version__))\nself.m_pyhouse_obj = p_pyhouse_obj\nself.m_config = Config(p_pyhouse_obj)\nself.m_utility = Utility(p_pyhouse_obj)\np_pyhouse_obj.House = HouseInformation()\nself.m_location_api = location.Api(p_pyhouse_obj)\nself.m_floor_api = floors.Api(p_pyhouse_obj)\ns... | <|body_start_0|>
LOG.info('Initializing - Version:{}'.format(__version__))
self.m_pyhouse_obj = p_pyhouse_obj
self.m_config = Config(p_pyhouse_obj)
self.m_utility = Utility(p_pyhouse_obj)
p_pyhouse_obj.House = HouseInformation()
self.m_location_api = location.Api(p_pyhous... | API | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class API:
def __init__(self, p_pyhouse_obj):
"""**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running."""
<|body_0|>
def LoadConfig(self):
"""The house is always present but the components of the house ar... | stack_v2_sparse_classes_36k_train_012244 | 14,568 | no_license | [
{
"docstring": "**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running.",
"name": "__init__",
"signature": "def __init__(self, p_pyhouse_obj)"
},
{
"docstring": "The house is always present but the components of the house are plu... | 5 | stack_v2_sparse_classes_30k_train_010195 | Implement the Python class `API` described below.
Class description:
Implement the API class.
Method signatures and docstrings:
- def __init__(self, p_pyhouse_obj): **NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running.
- def LoadConfig(self): The ho... | Implement the Python class `API` described below.
Class description:
Implement the API class.
Method signatures and docstrings:
- def __init__(self, p_pyhouse_obj): **NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running.
- def LoadConfig(self): The ho... | 8ccbbd1494b7b33ff5099d321cda634fbb254ceb | <|skeleton|>
class API:
def __init__(self, p_pyhouse_obj):
"""**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running."""
<|body_0|>
def LoadConfig(self):
"""The house is always present but the components of the house ar... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class API:
def __init__(self, p_pyhouse_obj):
"""**NoReactor** This is part of Core PyHouse - House is the reason we are running! Note that the reactor is not yet running."""
LOG.info('Initializing - Version:{}'.format(__version__))
self.m_pyhouse_obj = p_pyhouse_obj
self.m_config = ... | the_stack_v2_python_sparse | Project/src/Modules/House/house.py | bopopescu/PyHouse | train | 0 | |
81d6f6a0eab74a3d8f14b7d5bc025ad73f876274 | [
"super(SubstructureEncoder, self).__init__()\nself.atom_fdim = atom_fdim\nself.args = args\nself.hidden_size = args.substructures_hidden_size\nself.bias = args.bias\nself.dropout = args.dropout\nself.use_input_features = args.use_input_features\nself.device = args.device\nself.dropout_layer = nn.Dropout(p=self.drop... | <|body_start_0|>
super(SubstructureEncoder, self).__init__()
self.atom_fdim = atom_fdim
self.args = args
self.hidden_size = args.substructures_hidden_size
self.bias = args.bias
self.dropout = args.dropout
self.use_input_features = args.use_input_features
s... | An :class:`MPNEncoder` is a message passing neural network for encoding a molecule. | SubstructureEncoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubstructureEncoder:
"""An :class:`MPNEncoder` is a message passing neural network for encoding a molecule."""
def __init__(self, args: TrainArgs, atom_fdim: int):
""":param args: A :class:`~chemprop.args.TrainArgs` object containing model arguments. :param atom_fdim: Atom feature ve... | stack_v2_sparse_classes_36k_train_012245 | 4,786 | permissive | [
{
"docstring": ":param args: A :class:`~chemprop.args.TrainArgs` object containing model arguments. :param atom_fdim: Atom feature vector dimension. :param bond_fdim: Bond feature vector dimension.",
"name": "__init__",
"signature": "def __init__(self, args: TrainArgs, atom_fdim: int)"
},
{
"doc... | 2 | stack_v2_sparse_classes_30k_train_001734 | Implement the Python class `SubstructureEncoder` described below.
Class description:
An :class:`MPNEncoder` is a message passing neural network for encoding a molecule.
Method signatures and docstrings:
- def __init__(self, args: TrainArgs, atom_fdim: int): :param args: A :class:`~chemprop.args.TrainArgs` object cont... | Implement the Python class `SubstructureEncoder` described below.
Class description:
An :class:`MPNEncoder` is a message passing neural network for encoding a molecule.
Method signatures and docstrings:
- def __init__(self, args: TrainArgs, atom_fdim: int): :param args: A :class:`~chemprop.args.TrainArgs` object cont... | f766cbb8c1fa4d1aca419983e70ef59892176807 | <|skeleton|>
class SubstructureEncoder:
"""An :class:`MPNEncoder` is a message passing neural network for encoding a molecule."""
def __init__(self, args: TrainArgs, atom_fdim: int):
""":param args: A :class:`~chemprop.args.TrainArgs` object containing model arguments. :param atom_fdim: Atom feature ve... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubstructureEncoder:
"""An :class:`MPNEncoder` is a message passing neural network for encoding a molecule."""
def __init__(self, args: TrainArgs, atom_fdim: int):
""":param args: A :class:`~chemprop.args.TrainArgs` object containing model arguments. :param atom_fdim: Atom feature vector dimensio... | the_stack_v2_python_sparse | scripts/SOTA/dmpnn/chemprop/models/substructures_feature_model.py | simonlevine/lipophilicity-prediction | train | 0 |
a15284234f817837ad826c17e9fd52793d3040b4 | [
"if len(strs) == 0:\n return '#'\nencoded_str = ''\nhead = ''\nfor this_str in strs:\n size = len(this_str)\n head = head + str(size) + ','\n encoded_str = encoded_str + this_str\nencoded_str = head + '#' + encoded_str\nreturn encoded_str",
"if encoded_str == '#':\n return []\ndecoded_str_list = []... | <|body_start_0|>
if len(strs) == 0:
return '#'
encoded_str = ''
head = ''
for this_str in strs:
size = len(this_str)
head = head + str(size) + ','
encoded_str = encoded_str + this_str
encoded_str = head + '#' + encoded_str
r... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, encoded_str: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_012246 | 1,203 | no_license | [
{
"docstring": "Encodes a list of strings to a single string.",
"name": "encode",
"signature": "def encode(self, strs: [str]) -> str"
},
{
"docstring": "Decodes a single string to a list of strings.",
"name": "decode",
"signature": "def decode(self, encoded_str: str) -> [str]"
}
] | 2 | stack_v2_sparse_classes_30k_train_006781 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, encoded_str: str) -> [str]: Decodes a single string to a list of strings. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, encoded_str: str) -> [str]: Decodes a single string to a list of strings.
<|skel... | 2e2b002d2eb1c9bc70e5c1233537eba2235341a4 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, encoded_str: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
if len(strs) == 0:
return '#'
encoded_str = ''
head = ''
for this_str in strs:
size = len(this_str)
head = head + str(size) + ','
... | the_stack_v2_python_sparse | String/Encode and Decode Strings/solution.py | Superhzf/python_exercise | train | 1 | |
b9f095356cdbbd7a61aa5239322db13463ed208a | [
"self.assertRaises(TypeError, add_errors, 'one', 2)\nself.assertRaises(TypeError, add_errors, 2)\nself.assertRaises(TypeError, add_errors, 2, 5.5)\nself.assertRaises(TypeError, add_errors, 'one', 'two')",
"self.assertEqual(9, add_errors(3, 6), \"Can't add it up\")\nself.assertEqual(5, add_errors(-1, 6), \"Can't a... | <|body_start_0|>
self.assertRaises(TypeError, add_errors, 'one', 2)
self.assertRaises(TypeError, add_errors, 2)
self.assertRaises(TypeError, add_errors, 2, 5.5)
self.assertRaises(TypeError, add_errors, 'one', 'two')
<|end_body_0|>
<|body_start_1|>
self.assertEqual(9, add_errors(... | Test | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test:
def testAddErrors(self):
"""Tests ensuring errors in data cause validation failures."""
<|body_0|>
def testAddSuccesses(self):
"""Test ensuring that valid data passes."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.assertRaises(TypeError... | stack_v2_sparse_classes_36k_train_012247 | 914 | no_license | [
{
"docstring": "Tests ensuring errors in data cause validation failures.",
"name": "testAddErrors",
"signature": "def testAddErrors(self)"
},
{
"docstring": "Test ensuring that valid data passes.",
"name": "testAddSuccesses",
"signature": "def testAddSuccesses(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004267 | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def testAddErrors(self): Tests ensuring errors in data cause validation failures.
- def testAddSuccesses(self): Test ensuring that valid data passes. | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def testAddErrors(self): Tests ensuring errors in data cause validation failures.
- def testAddSuccesses(self): Test ensuring that valid data passes.
<|skeleton|>
class Test:
def t... | 049c654ed626e97d7fe2f8dc61d84c60f10d7558 | <|skeleton|>
class Test:
def testAddErrors(self):
"""Tests ensuring errors in data cause validation failures."""
<|body_0|>
def testAddSuccesses(self):
"""Test ensuring that valid data passes."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test:
def testAddErrors(self):
"""Tests ensuring errors in data cause validation failures."""
self.assertRaises(TypeError, add_errors, 'one', 2)
self.assertRaises(TypeError, add_errors, 2)
self.assertRaises(TypeError, add_errors, 2, 5.5)
self.assertRaises(TypeError, add... | the_stack_v2_python_sparse | workspace/Python3_Homework01/src/test_adder.py | paulrefalo/Python-2---4 | train | 0 | |
50a08e7fccbcba14b09c674fc4f11b1769eef8ea | [
"key = '%s.dict' % self.prefix\nfor class_impl in (RedisDict, PickleRedisDict, JSONRedisDict):\n rd = class_impl()\n del rd[key]\n init_size = len(rd)\n self.assertFalse(key in rd)\n rd[key] = 10\n self.assertTrue(key in rd)\n self.assertEqual(len(rd), init_size + 1)\n self.assertTrue(rd[key... | <|body_start_0|>
key = '%s.dict' % self.prefix
for class_impl in (RedisDict, PickleRedisDict, JSONRedisDict):
rd = class_impl()
del rd[key]
init_size = len(rd)
self.assertFalse(key in rd)
rd[key] = 10
self.assertTrue(key in rd)
... | Test the various data structures. | TestRedisDatastructures | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRedisDatastructures:
"""Test the various data structures."""
def test_redis_dict(self):
"""Test the redis dict implementation."""
<|body_0|>
def test_redis_hash_dict(self):
"""Test the redis hash dict implementation."""
<|body_1|>
def test_redis_... | stack_v2_sparse_classes_36k_train_012248 | 13,402 | no_license | [
{
"docstring": "Test the redis dict implementation.",
"name": "test_redis_dict",
"signature": "def test_redis_dict(self)"
},
{
"docstring": "Test the redis hash dict implementation.",
"name": "test_redis_hash_dict",
"signature": "def test_redis_hash_dict(self)"
},
{
"docstring": ... | 4 | null | Implement the Python class `TestRedisDatastructures` described below.
Class description:
Test the various data structures.
Method signatures and docstrings:
- def test_redis_dict(self): Test the redis dict implementation.
- def test_redis_hash_dict(self): Test the redis hash dict implementation.
- def test_redis_list... | Implement the Python class `TestRedisDatastructures` described below.
Class description:
Test the various data structures.
Method signatures and docstrings:
- def test_redis_dict(self): Test the redis dict implementation.
- def test_redis_hash_dict(self): Test the redis hash dict implementation.
- def test_redis_list... | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | <|skeleton|>
class TestRedisDatastructures:
"""Test the various data structures."""
def test_redis_dict(self):
"""Test the redis dict implementation."""
<|body_0|>
def test_redis_hash_dict(self):
"""Test the redis hash dict implementation."""
<|body_1|>
def test_redis_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestRedisDatastructures:
"""Test the various data structures."""
def test_redis_dict(self):
"""Test the redis dict implementation."""
key = '%s.dict' % self.prefix
for class_impl in (RedisDict, PickleRedisDict, JSONRedisDict):
rd = class_impl()
del rd[key]
... | the_stack_v2_python_sparse | repoData/lethain-Redis-Python-Datastructures/allPythonContent.py | aCoffeeYin/pyreco | train | 0 |
e049b6f78f5ce65cb884b5fb1437243f559f512a | [
"super().__init__(coordinator)\nself.entity_description = description\nself._remote = remote\nself._attr_unique_id = f'{coordinator.mac_address}-{description.key}'\nself._attr_device_info = DeviceInfo(connections={(dr.CONNECTION_NETWORK_MAC, coordinator.mac_address)})",
"response: SwitcherBaseResponse = None\nerr... | <|body_start_0|>
super().__init__(coordinator)
self.entity_description = description
self._remote = remote
self._attr_unique_id = f'{coordinator.mac_address}-{description.key}'
self._attr_device_info = DeviceInfo(connections={(dr.CONNECTION_NETWORK_MAC, coordinator.mac_address)})... | Representation of a Switcher climate entity. | SwitcherThermostatButtonEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SwitcherThermostatButtonEntity:
"""Representation of a Switcher climate entity."""
def __init__(self, coordinator: SwitcherDataUpdateCoordinator, description: SwitcherThermostatButtonEntityDescription, remote: SwitcherBreezeRemote) -> None:
"""Initialize the entity."""
<|body... | stack_v2_sparse_classes_36k_train_012249 | 5,671 | permissive | [
{
"docstring": "Initialize the entity.",
"name": "__init__",
"signature": "def __init__(self, coordinator: SwitcherDataUpdateCoordinator, description: SwitcherThermostatButtonEntityDescription, remote: SwitcherBreezeRemote) -> None"
},
{
"docstring": "Press the button.",
"name": "async_press... | 2 | null | Implement the Python class `SwitcherThermostatButtonEntity` described below.
Class description:
Representation of a Switcher climate entity.
Method signatures and docstrings:
- def __init__(self, coordinator: SwitcherDataUpdateCoordinator, description: SwitcherThermostatButtonEntityDescription, remote: SwitcherBreeze... | Implement the Python class `SwitcherThermostatButtonEntity` described below.
Class description:
Representation of a Switcher climate entity.
Method signatures and docstrings:
- def __init__(self, coordinator: SwitcherDataUpdateCoordinator, description: SwitcherThermostatButtonEntityDescription, remote: SwitcherBreeze... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class SwitcherThermostatButtonEntity:
"""Representation of a Switcher climate entity."""
def __init__(self, coordinator: SwitcherDataUpdateCoordinator, description: SwitcherThermostatButtonEntityDescription, remote: SwitcherBreezeRemote) -> None:
"""Initialize the entity."""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SwitcherThermostatButtonEntity:
"""Representation of a Switcher climate entity."""
def __init__(self, coordinator: SwitcherDataUpdateCoordinator, description: SwitcherThermostatButtonEntityDescription, remote: SwitcherBreezeRemote) -> None:
"""Initialize the entity."""
super().__init__(co... | the_stack_v2_python_sparse | homeassistant/components/switcher_kis/button.py | home-assistant/core | train | 35,501 |
ea22d79ee64901bf2d21eddd8dc8681b74016a02 | [
"if uuidutils.is_uuid_like(segment_uuid):\n LOG.debug('Fetching failover segment by uuid %s', segment_uuid)\n segment = objects.FailoverSegment.get_by_uuid(context, segment_uuid)\nelse:\n LOG.debug('Failed to fetch failover segment by uuid %s', segment_uuid)\n raise exception.FailoverSegmentNotFound(id=... | <|body_start_0|>
if uuidutils.is_uuid_like(segment_uuid):
LOG.debug('Fetching failover segment by uuid %s', segment_uuid)
segment = objects.FailoverSegment.get_by_uuid(context, segment_uuid)
else:
LOG.debug('Failed to fetch failover segment by uuid %s', segment_uuid)
... | FailoverSegmentAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FailoverSegmentAPI:
def get_segment(self, context, segment_uuid):
"""Get a single failover segment with the given segment_uuid."""
<|body_0|>
def get_all(self, context, filters=None, sort_keys=None, sort_dirs=None, limit=None, marker=None):
"""Get all failover segmen... | stack_v2_sparse_classes_36k_train_012250 | 17,673 | permissive | [
{
"docstring": "Get a single failover segment with the given segment_uuid.",
"name": "get_segment",
"signature": "def get_segment(self, context, segment_uuid)"
},
{
"docstring": "Get all failover segments filtered by one of the given parameters. If there is no filter it will retrieve all segment... | 5 | stack_v2_sparse_classes_30k_train_011321 | Implement the Python class `FailoverSegmentAPI` described below.
Class description:
Implement the FailoverSegmentAPI class.
Method signatures and docstrings:
- def get_segment(self, context, segment_uuid): Get a single failover segment with the given segment_uuid.
- def get_all(self, context, filters=None, sort_keys=... | Implement the Python class `FailoverSegmentAPI` described below.
Class description:
Implement the FailoverSegmentAPI class.
Method signatures and docstrings:
- def get_segment(self, context, segment_uuid): Get a single failover segment with the given segment_uuid.
- def get_all(self, context, filters=None, sort_keys=... | bad1f2fe6e5b4cc1f04c8723d9aba8c4cfffb164 | <|skeleton|>
class FailoverSegmentAPI:
def get_segment(self, context, segment_uuid):
"""Get a single failover segment with the given segment_uuid."""
<|body_0|>
def get_all(self, context, filters=None, sort_keys=None, sort_dirs=None, limit=None, marker=None):
"""Get all failover segmen... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FailoverSegmentAPI:
def get_segment(self, context, segment_uuid):
"""Get a single failover segment with the given segment_uuid."""
if uuidutils.is_uuid_like(segment_uuid):
LOG.debug('Fetching failover segment by uuid %s', segment_uuid)
segment = objects.FailoverSegment.... | the_stack_v2_python_sparse | masakari/ha/api.py | openstack/masakari | train | 74 | |
26a0ae093e50ba557105e90de436f1302d44fac3 | [
"self.conn = connection\nself.method_proto = MethodProtocol(self.conn)\nself.process_map = {'divide': self._process_divide}\nself.handlers = handlers",
"name = self.method_proto.get_method_name()\n_process = self.process_map[name]\n_process()",
"proto = DivideProtocol()\nargs = proto.args_decode(self.conn)\ntry... | <|body_start_0|>
self.conn = connection
self.method_proto = MethodProtocol(self.conn)
self.process_map = {'divide': self._process_divide}
self.handlers = handlers
<|end_body_0|>
<|body_start_1|>
name = self.method_proto.get_method_name()
_process = self.process_map[name]... | 帮助服务器完成远端过程调用 | ServerStub | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServerStub:
"""帮助服务器完成远端过程调用"""
def __init__(self, connection, handlers):
""":param connection: :param handlers:"""
<|body_0|>
def process(self):
"""当服务端接受了一个客户端的连接，建立好连接后，完成远端调用处理 :return:"""
<|body_1|>
def _process_divide(self):
"""处理除法的过程调... | stack_v2_sparse_classes_36k_train_012251 | 9,202 | permissive | [
{
"docstring": ":param connection: :param handlers:",
"name": "__init__",
"signature": "def __init__(self, connection, handlers)"
},
{
"docstring": "当服务端接受了一个客户端的连接，建立好连接后，完成远端调用处理 :return:",
"name": "process",
"signature": "def process(self)"
},
{
"docstring": "处理除法的过程调用 :return... | 3 | stack_v2_sparse_classes_30k_train_010421 | Implement the Python class `ServerStub` described below.
Class description:
帮助服务器完成远端过程调用
Method signatures and docstrings:
- def __init__(self, connection, handlers): :param connection: :param handlers:
- def process(self): 当服务端接受了一个客户端的连接，建立好连接后，完成远端调用处理 :return:
- def _process_divide(self): 处理除法的过程调用 :return: | Implement the Python class `ServerStub` described below.
Class description:
帮助服务器完成远端过程调用
Method signatures and docstrings:
- def __init__(self, connection, handlers): :param connection: :param handlers:
- def process(self): 当服务端接受了一个客户端的连接，建立好连接后，完成远端调用处理 :return:
- def _process_divide(self): 处理除法的过程调用 :return:
<|s... | be120ce2bb94a8e8395630218985f5e51ae087d9 | <|skeleton|>
class ServerStub:
"""帮助服务器完成远端过程调用"""
def __init__(self, connection, handlers):
""":param connection: :param handlers:"""
<|body_0|>
def process(self):
"""当服务端接受了一个客户端的连接，建立好连接后，完成远端调用处理 :return:"""
<|body_1|>
def _process_divide(self):
"""处理除法的过程调... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ServerStub:
"""帮助服务器完成远端过程调用"""
def __init__(self, connection, handlers):
""":param connection: :param handlers:"""
self.conn = connection
self.method_proto = MethodProtocol(self.conn)
self.process_map = {'divide': self._process_divide}
self.handlers = handlers
... | the_stack_v2_python_sparse | KnowledgeMapping/grpc/services.py | nickliqian/keep_learning | train | 8 |
cc7468515370e4a4845ed45bba1746e7a3b83941 | [
"super().__init__()\nsys.stdout.flush()\ntry:\n self.my_device = params['my_device']\nexcept:\n self.my_device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\nself.config = params\nif not self.config['include_metadata']:\n self.config['other_features_size'] = 0\nif params['activation'] ==... | <|body_start_0|>
super().__init__()
sys.stdout.flush()
try:
self.my_device = params['my_device']
except:
self.my_device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
self.config = params
if not self.config['include_metadata']:
... | myLSTMOutputHidden | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class myLSTMOutputHidden:
def __init__(self, params):
"""IGNORES THE INCLUDE METADATA PARAM TO FINETUNE Params are: dropout_layers: a list of dropout probabilities after each layer. Should be the same size as linear_layer_sizes. If zero or None, no dropout is applied. activation: "relu", "elu"... | stack_v2_sparse_classes_36k_train_012252 | 34,560 | no_license | [
{
"docstring": "IGNORES THE INCLUDE METADATA PARAM TO FINETUNE Params are: dropout_layers: a list of dropout probabilities after each layer. Should be the same size as linear_layer_sizes. If zero or None, no dropout is applied. activation: \"relu\", \"elu\", or \"selu\" to be applied to all dense activations vo... | 2 | stack_v2_sparse_classes_30k_train_010521 | Implement the Python class `myLSTMOutputHidden` described below.
Class description:
Implement the myLSTMOutputHidden class.
Method signatures and docstrings:
- def __init__(self, params): IGNORES THE INCLUDE METADATA PARAM TO FINETUNE Params are: dropout_layers: a list of dropout probabilities after each layer. Shoul... | Implement the Python class `myLSTMOutputHidden` described below.
Class description:
Implement the myLSTMOutputHidden class.
Method signatures and docstrings:
- def __init__(self, params): IGNORES THE INCLUDE METADATA PARAM TO FINETUNE Params are: dropout_layers: a list of dropout probabilities after each layer. Shoul... | b850f7c91e16e3dacca4d3b6377c77502960dd19 | <|skeleton|>
class myLSTMOutputHidden:
def __init__(self, params):
"""IGNORES THE INCLUDE METADATA PARAM TO FINETUNE Params are: dropout_layers: a list of dropout probabilities after each layer. Should be the same size as linear_layer_sizes. If zero or None, no dropout is applied. activation: "relu", "elu"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class myLSTMOutputHidden:
def __init__(self, params):
"""IGNORES THE INCLUDE METADATA PARAM TO FINETUNE Params are: dropout_layers: a list of dropout probabilities after each layer. Should be the same size as linear_layer_sizes. If zero or None, no dropout is applied. activation: "relu", "elu", or "selu" to... | the_stack_v2_python_sparse | common/mytorch.py | altLabs/attrib | train | 1 | |
20b95b78af0aef7699c4365042db1c054ebb09c9 | [
"background = Background(color, image, elements, mode=mode, finish=False)\nbackground.finish()\nreturn background",
"super(Background, self).__init__('', elements, normal_params, finish=False)\nW, H = functions.get_screen_size()\nif image:\n painter = ImageFrame(image, mode=mode)\nelif color:\n painter = Ba... | <|body_start_0|>
background = Background(color, image, elements, mode=mode, finish=False)
background.finish()
return background
<|end_body_0|>
<|body_start_1|>
super(Background, self).__init__('', elements, normal_params, finish=False)
W, H = functions.get_screen_size()
... | Background element for another element or menu. | Background | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Background:
"""Background element for another element or menu."""
def make(color=None, image=None, elements=None, mode='scale to screen'):
"""Background element for another element or menu. <color>: if not None, define the color for the background. <image>: if not None, define the im... | stack_v2_sparse_classes_36k_train_012253 | 2,483 | permissive | [
{
"docstring": "Background element for another element or menu. <color>: if not None, define the color for the background. <image>: if not None, define the image of the background. <Mode>: None : if an image is passed, its original size is kept. Otherwise, a <color> (white by default) rect of the size of the sc... | 2 | stack_v2_sparse_classes_30k_train_017110 | Implement the Python class `Background` described below.
Class description:
Background element for another element or menu.
Method signatures and docstrings:
- def make(color=None, image=None, elements=None, mode='scale to screen'): Background element for another element or menu. <color>: if not None, define the colo... | Implement the Python class `Background` described below.
Class description:
Background element for another element or menu.
Method signatures and docstrings:
- def make(color=None, image=None, elements=None, mode='scale to screen'): Background element for another element or menu. <color>: if not None, define the colo... | e9dc52ff209f684be578f57a324f5bcf29d536ad | <|skeleton|>
class Background:
"""Background element for another element or menu."""
def make(color=None, image=None, elements=None, mode='scale to screen'):
"""Background element for another element or menu. <color>: if not None, define the color for the background. <image>: if not None, define the im... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Background:
"""Background element for another element or menu."""
def make(color=None, image=None, elements=None, mode='scale to screen'):
"""Background element for another element or menu. <color>: if not None, define the color for the background. <image>: if not None, define the image of the ba... | the_stack_v2_python_sparse | elements/background.py | YannThorimbert/Thorpy | train | 32 |
90601a5194897661efbb0583b8a32d239c787db7 | [
"super(ConditionalEventFormatter, self).__init__()\nregexp = re.compile('{[a-z][a-zA-Z0-9_]*[!]?[^:}]*[:]?[^}]*}')\nregexp_name = re.compile('[a-z][a-zA-Z0-9_]*')\nself._format_string_pieces_map = []\nfor format_string_piece in self.FORMAT_STRING_PIECES:\n result = regexp.findall(format_string_piece)\n if not... | <|body_start_0|>
super(ConditionalEventFormatter, self).__init__()
regexp = re.compile('{[a-z][a-zA-Z0-9_]*[!]?[^:}]*[:]?[^}]*}')
regexp_name = re.compile('[a-z][a-zA-Z0-9_]*')
self._format_string_pieces_map = []
for format_string_piece in self.FORMAT_STRING_PIECES:
r... | Base class to conditionally format event data using format string pieces. Define the (long) format string and the short format string by defining FORMAT_STRING_PIECES and FORMAT_STRING_SHORT_PIECES. The syntax of the format strings pieces is similar to of the event formatter (EventFormatter). Every format string piece ... | ConditionalEventFormatter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConditionalEventFormatter:
"""Base class to conditionally format event data using format string pieces. Define the (long) format string and the short format string by defining FORMAT_STRING_PIECES and FORMAT_STRING_SHORT_PIECES. The syntax of the format strings pieces is similar to of the event f... | stack_v2_sparse_classes_36k_train_012254 | 15,049 | permissive | [
{
"docstring": "Initializes the conditional formatter. A map is build of the string pieces and their corresponding attribute name to optimize conditional string formatting. Raises: RuntimeError: when an invalid format string piece is encountered.",
"name": "__init__",
"signature": "def __init__(self)"
... | 2 | stack_v2_sparse_classes_30k_train_001664 | Implement the Python class `ConditionalEventFormatter` described below.
Class description:
Base class to conditionally format event data using format string pieces. Define the (long) format string and the short format string by defining FORMAT_STRING_PIECES and FORMAT_STRING_SHORT_PIECES. The syntax of the format stri... | Implement the Python class `ConditionalEventFormatter` described below.
Class description:
Base class to conditionally format event data using format string pieces. Define the (long) format string and the short format string by defining FORMAT_STRING_PIECES and FORMAT_STRING_SHORT_PIECES. The syntax of the format stri... | b4dc64b3a2d2906e8947824c493a2bc311d765c1 | <|skeleton|>
class ConditionalEventFormatter:
"""Base class to conditionally format event data using format string pieces. Define the (long) format string and the short format string by defining FORMAT_STRING_PIECES and FORMAT_STRING_SHORT_PIECES. The syntax of the format strings pieces is similar to of the event f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConditionalEventFormatter:
"""Base class to conditionally format event data using format string pieces. Define the (long) format string and the short format string by defining FORMAT_STRING_PIECES and FORMAT_STRING_SHORT_PIECES. The syntax of the format strings pieces is similar to of the event formatter (Eve... | the_stack_v2_python_sparse | plaso/lib/eventdata.py | iwm911/plaso | train | 0 |
c022c0a0964612b399db096e3b1df9291ac074ce | [
"path = '/billing_request_flows'\nif params is not None:\n params = {self._envelope_key(): params}\nresponse = self._perform_request('POST', path, params, headers, retry_failures=True)\nreturn self._resource_for(response)",
"path = self._sub_url_params('/billing_request_flows/:identity/actions/initialise', {'i... | <|body_start_0|>
path = '/billing_request_flows'
if params is not None:
params = {self._envelope_key(): params}
response = self._perform_request('POST', path, params, headers, retry_failures=True)
return self._resource_for(response)
<|end_body_0|>
<|body_start_1|>
pa... | Service class that provides access to the billing_request_flows endpoints of the GoCardless Pro API. | BillingRequestFlowsService | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BillingRequestFlowsService:
"""Service class that provides access to the billing_request_flows endpoints of the GoCardless Pro API."""
def create(self, params=None, headers=None):
"""Create a Billing Request Flow. Creates a new billing request flow. Args: params (dict, optional): Req... | stack_v2_sparse_classes_36k_train_012255 | 1,948 | permissive | [
{
"docstring": "Create a Billing Request Flow. Creates a new billing request flow. Args: params (dict, optional): Request body. Returns: BillingRequestFlow",
"name": "create",
"signature": "def create(self, params=None, headers=None)"
},
{
"docstring": "Initialise a Billing Request Flow. Returns... | 2 | stack_v2_sparse_classes_30k_train_011954 | Implement the Python class `BillingRequestFlowsService` described below.
Class description:
Service class that provides access to the billing_request_flows endpoints of the GoCardless Pro API.
Method signatures and docstrings:
- def create(self, params=None, headers=None): Create a Billing Request Flow. Creates a new... | Implement the Python class `BillingRequestFlowsService` described below.
Class description:
Service class that provides access to the billing_request_flows endpoints of the GoCardless Pro API.
Method signatures and docstrings:
- def create(self, params=None, headers=None): Create a Billing Request Flow. Creates a new... | ce6ef9064a2837ae4cebd7ca731fdef6c4ceca2d | <|skeleton|>
class BillingRequestFlowsService:
"""Service class that provides access to the billing_request_flows endpoints of the GoCardless Pro API."""
def create(self, params=None, headers=None):
"""Create a Billing Request Flow. Creates a new billing request flow. Args: params (dict, optional): Req... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BillingRequestFlowsService:
"""Service class that provides access to the billing_request_flows endpoints of the GoCardless Pro API."""
def create(self, params=None, headers=None):
"""Create a Billing Request Flow. Creates a new billing request flow. Args: params (dict, optional): Request body. Re... | the_stack_v2_python_sparse | gocardless_pro/services/billing_request_flows_service.py | gocardless/gocardless-pro-python | train | 34 |
ab5f6281f8d018442ef3fae9b75f2687d981fd0a | [
"obj = cls()\nobj.channel_id = payload[device_key]\nfor key in payload:\n if key in ('created', 'last_registration'):\n payload[key] = datetime.datetime.strptime(payload[key], '%Y-%m-%dT%H:%M:%S')\n setattr(obj, key, payload[key])\nreturn obj",
"start_url = common.CHANNEL_URL\ndata_attribute = 'chann... | <|body_start_0|>
obj = cls()
obj.channel_id = payload[device_key]
for key in payload:
if key in ('created', 'last_registration'):
payload[key] = datetime.datetime.strptime(payload[key], '%Y-%m-%dT%H:%M:%S')
setattr(obj, key, payload[key])
return ob... | Information object for iOS, Android and Amazon device channels. :ivar channel_id: Channel ID for the device. :ivar device_type: Type of the device, e.g. ``ios``. :ivar installed: bool; whether the app is installed on the device. :ivar opt_in: bool; whether the device is opted in to push. :ivar background: bool; whether... | ChannelInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChannelInfo:
"""Information object for iOS, Android and Amazon device channels. :ivar channel_id: Channel ID for the device. :ivar device_type: Type of the device, e.g. ``ios``. :ivar installed: bool; whether the app is installed on the device. :ivar opt_in: bool; whether the device is opted in t... | stack_v2_sparse_classes_36k_train_012256 | 7,797 | no_license | [
{
"docstring": "Create based on results from a ChannelList iterator.",
"name": "from_payload",
"signature": "def from_payload(cls, payload, device_key)"
},
{
"docstring": "Fetch metadata from a channel ID",
"name": "lookup",
"signature": "def lookup(cls, airship, channel_id)"
}
] | 2 | null | Implement the Python class `ChannelInfo` described below.
Class description:
Information object for iOS, Android and Amazon device channels. :ivar channel_id: Channel ID for the device. :ivar device_type: Type of the device, e.g. ``ios``. :ivar installed: bool; whether the app is installed on the device. :ivar opt_in:... | Implement the Python class `ChannelInfo` described below.
Class description:
Information object for iOS, Android and Amazon device channels. :ivar channel_id: Channel ID for the device. :ivar device_type: Type of the device, e.g. ``ios``. :ivar installed: bool; whether the app is installed on the device. :ivar opt_in:... | ed0185f36e274d46f978a8f670a4189571280e8b | <|skeleton|>
class ChannelInfo:
"""Information object for iOS, Android and Amazon device channels. :ivar channel_id: Channel ID for the device. :ivar device_type: Type of the device, e.g. ``ios``. :ivar installed: bool; whether the app is installed on the device. :ivar opt_in: bool; whether the device is opted in t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ChannelInfo:
"""Information object for iOS, Android and Amazon device channels. :ivar channel_id: Channel ID for the device. :ivar device_type: Type of the device, e.g. ``ios``. :ivar installed: bool; whether the app is installed on the device. :ivar opt_in: bool; whether the device is opted in to push. :ivar... | the_stack_v2_python_sparse | venv/lib/python2.7/site-packages/urbanairship/devices/devicelist.py | poojapauskar/vzcards-api | train | 0 |
2afd2f4bf803f1c7b94b4dfeaea99c6b90f336a1 | [
"p = super().Params()\np.Define('input_dims', 0, 'Depth of the input to the network.')\np.Define('epsilon', 1e-06, 'Tiny value to guard rsqrt.')\np.Define('scale', True, 'Whether to use a learned scaling.')\np.Define('bias', True, 'Whether to use bias.')\nreturn p",
"super().create_layer_variables()\np = self.par... | <|body_start_0|>
p = super().Params()
p.Define('input_dims', 0, 'Depth of the input to the network.')
p.Define('epsilon', 1e-06, 'Tiny value to guard rsqrt.')
p.Define('scale', True, 'Whether to use a learned scaling.')
p.Define('bias', True, 'Whether to use bias.')
retur... | Layer normalization. | LayerNorm | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LayerNorm:
"""Layer normalization."""
def Params(cls) -> InstantiableParams:
"""Returns the layer params with LayerNorm specific params."""
<|body_0|>
def create_layer_variables(self) -> None:
"""Creates layer normalization variables."""
<|body_1|>
d... | stack_v2_sparse_classes_36k_train_012257 | 17,959 | permissive | [
{
"docstring": "Returns the layer params with LayerNorm specific params.",
"name": "Params",
"signature": "def Params(cls) -> InstantiableParams"
},
{
"docstring": "Creates layer normalization variables.",
"name": "create_layer_variables",
"signature": "def create_layer_variables(self) -... | 3 | null | Implement the Python class `LayerNorm` described below.
Class description:
Layer normalization.
Method signatures and docstrings:
- def Params(cls) -> InstantiableParams: Returns the layer params with LayerNorm specific params.
- def create_layer_variables(self) -> None: Creates layer normalization variables.
- def f... | Implement the Python class `LayerNorm` described below.
Class description:
Layer normalization.
Method signatures and docstrings:
- def Params(cls) -> InstantiableParams: Returns the layer params with LayerNorm specific params.
- def create_layer_variables(self) -> None: Creates layer normalization variables.
- def f... | c00a74b260fcf6ba11199cc4a340c127d6616479 | <|skeleton|>
class LayerNorm:
"""Layer normalization."""
def Params(cls) -> InstantiableParams:
"""Returns the layer params with LayerNorm specific params."""
<|body_0|>
def create_layer_variables(self) -> None:
"""Creates layer normalization variables."""
<|body_1|>
d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LayerNorm:
"""Layer normalization."""
def Params(cls) -> InstantiableParams:
"""Returns the layer params with LayerNorm specific params."""
p = super().Params()
p.Define('input_dims', 0, 'Depth of the input to the network.')
p.Define('epsilon', 1e-06, 'Tiny value to guard ... | the_stack_v2_python_sparse | lingvo/jax/layers/normalizations.py | tensorflow/lingvo | train | 2,963 |
1dd737be40a70a9f528a0ddd185f472412aaba3e | [
"name = self.normalize(name)\nfor portion in self.split(name):\n super().add(portion)",
"string = cls.normalize(string)\nquery = cls._get_search_query()\nquery = query.filter(lambda tag: tag.name.startswith(string))\nobjects = cls._get_opbjects_from_query(query)\nreturn objects",
"words = []\ni = 0\nwhile i ... | <|body_start_0|>
name = self.normalize(name)
for portion in self.split(name):
super().add(portion)
<|end_body_0|>
<|body_start_1|>
string = cls.normalize(string)
query = cls._get_search_query()
query = query.filter(lambda tag: tag.name.startswith(string))
obj... | Name handler, using a tag handler behind the scenes. | NameHandler | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NameHandler:
"""Name handler, using a tag handler behind the scenes."""
def register(self, name: str):
"""Register a name Args: name (str): the name to register. Behind the scenes, the name is split in words (or language-appropriate portions) and each portion is stored in a tag with ... | stack_v2_sparse_classes_36k_train_012258 | 6,240 | permissive | [
{
"docstring": "Register a name Args: name (str): the name to register. Behind the scenes, the name is split in words (or language-appropriate portions) and each portion is stored in a tag with a specific subset. Searching through the database (using the `search` class method) will search through these names.",... | 5 | stack_v2_sparse_classes_30k_train_010822 | Implement the Python class `NameHandler` described below.
Class description:
Name handler, using a tag handler behind the scenes.
Method signatures and docstrings:
- def register(self, name: str): Register a name Args: name (str): the name to register. Behind the scenes, the name is split in words (or language-approp... | Implement the Python class `NameHandler` described below.
Class description:
Name handler, using a tag handler behind the scenes.
Method signatures and docstrings:
- def register(self, name: str): Register a name Args: name (str): the name to register. Behind the scenes, the name is split in words (or language-approp... | fb7f98d331e47e2032ee1e51bf3e4b2592807fdf | <|skeleton|>
class NameHandler:
"""Name handler, using a tag handler behind the scenes."""
def register(self, name: str):
"""Register a name Args: name (str): the name to register. Behind the scenes, the name is split in words (or language-appropriate portions) and each portion is stored in a tag with ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NameHandler:
"""Name handler, using a tag handler behind the scenes."""
def register(self, name: str):
"""Register a name Args: name (str): the name to register. Behind the scenes, the name is split in words (or language-appropriate portions) and each portion is stored in a tag with a specific su... | the_stack_v2_python_sparse | src/data/handlers/name.py | vincent-lg/avenew.one | train | 0 |
70fac634dcc35c70b2bc5b2309de35d51944e20d | [
"type_list = response.xpath(\"//div[@class='nav cate']/a\")\nstr = 'aaa'\ntype_list = ['http://www.netbian.com' + i.xpath('./@href').extract_first() for i in type_list if 'http' not in i.xpath('./@href').extract_first()]\nprint('【所有类型图片列表】type_list========>>>>>%s' % type_list)\nfor type in type_list:\n yield scr... | <|body_start_0|>
type_list = response.xpath("//div[@class='nav cate']/a")
str = 'aaa'
type_list = ['http://www.netbian.com' + i.xpath('./@href').extract_first() for i in type_list if 'http' not in i.xpath('./@href').extract_first()]
print('【所有类型图片列表】type_list========>>>>>%s' % type_list)... | www.netbian.com全站图片爬虫 | NetbianSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetbianSpider:
"""www.netbian.com全站图片爬虫"""
def parse(self, response):
"""按图片类型分组"""
<|body_0|>
def type_parse(self, response):
"""图片分组"""
<|body_1|>
def parse_detail_page(self, response):
"""图片详情页解析"""
<|body_2|>
def parse_downlo... | stack_v2_sparse_classes_36k_train_012259 | 3,509 | no_license | [
{
"docstring": "按图片类型分组",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "图片分组",
"name": "type_parse",
"signature": "def type_parse(self, response)"
},
{
"docstring": "图片详情页解析",
"name": "parse_detail_page",
"signature": "def parse_detail_page(... | 4 | stack_v2_sparse_classes_30k_test_000231 | Implement the Python class `NetbianSpider` described below.
Class description:
www.netbian.com全站图片爬虫
Method signatures and docstrings:
- def parse(self, response): 按图片类型分组
- def type_parse(self, response): 图片分组
- def parse_detail_page(self, response): 图片详情页解析
- def parse_download_page(self, response): 图片下载页解析,并传递下载UR... | Implement the Python class `NetbianSpider` described below.
Class description:
www.netbian.com全站图片爬虫
Method signatures and docstrings:
- def parse(self, response): 按图片类型分组
- def type_parse(self, response): 图片分组
- def parse_detail_page(self, response): 图片详情页解析
- def parse_download_page(self, response): 图片下载页解析,并传递下载UR... | 3ccbaa9c8512bd16a9784d716143f9f50f352819 | <|skeleton|>
class NetbianSpider:
"""www.netbian.com全站图片爬虫"""
def parse(self, response):
"""按图片类型分组"""
<|body_0|>
def type_parse(self, response):
"""图片分组"""
<|body_1|>
def parse_detail_page(self, response):
"""图片详情页解析"""
<|body_2|>
def parse_downlo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NetbianSpider:
"""www.netbian.com全站图片爬虫"""
def parse(self, response):
"""按图片类型分组"""
type_list = response.xpath("//div[@class='nav cate']/a")
str = 'aaa'
type_list = ['http://www.netbian.com' + i.xpath('./@href').extract_first() for i in type_list if 'http' not in i.xpath('... | the_stack_v2_python_sparse | 2-爬虫/壁纸爬虫/WallPaperSpider/WallPaperSpider/spiders/netbian.py | JulySunny/PythonNotes | train | 0 |
35fd07a9361d92d1f4b709341d35296e2a8433b6 | [
"self.keysymstring = keysymstring\nself.modifier_mask = modifier_mask\nself.modifiers = modifiers\nself.handler = handler\nself.click_count = click_count\nself.keycode = None",
"if not self.keycode:\n self.keycode = getKeycode(self.keysymstring)\nif self.keycode == keycode:\n result = modifiers & self.modif... | <|body_start_0|>
self.keysymstring = keysymstring
self.modifier_mask = modifier_mask
self.modifiers = modifiers
self.handler = handler
self.click_count = click_count
self.keycode = None
<|end_body_0|>
<|body_start_1|>
if not self.keycode:
self.keycode... | A single key binding, consisting of a keycode, a modifier mask, and the InputEventHandler. | KeyBinding | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeyBinding:
"""A single key binding, consisting of a keycode, a modifier mask, and the InputEventHandler."""
def __init__(self, keysymstring, modifier_mask, modifiers, handler, click_count=1):
"""Creates a new key binding. Arguments: - keysymstring: the keysymstring - this is typical... | stack_v2_sparse_classes_36k_train_012260 | 14,338 | no_license | [
{
"docstring": "Creates a new key binding. Arguments: - keysymstring: the keysymstring - this is typically a string from /usr/include/X11/keysymdef.h with the preceding 'XK_' removed (e.g., XK_KP_Enter becomes the string 'KP_Enter'). - modifier_mask: bit mask where a set bit tells us what modifiers we care abou... | 2 | stack_v2_sparse_classes_30k_train_006776 | Implement the Python class `KeyBinding` described below.
Class description:
A single key binding, consisting of a keycode, a modifier mask, and the InputEventHandler.
Method signatures and docstrings:
- def __init__(self, keysymstring, modifier_mask, modifiers, handler, click_count=1): Creates a new key binding. Argu... | Implement the Python class `KeyBinding` described below.
Class description:
A single key binding, consisting of a keycode, a modifier mask, and the InputEventHandler.
Method signatures and docstrings:
- def __init__(self, keysymstring, modifier_mask, modifiers, handler, click_count=1): Creates a new key binding. Argu... | d08f7bf370a82b6970387bb9f165d374a9d9092b | <|skeleton|>
class KeyBinding:
"""A single key binding, consisting of a keycode, a modifier mask, and the InputEventHandler."""
def __init__(self, keysymstring, modifier_mask, modifiers, handler, click_count=1):
"""Creates a new key binding. Arguments: - keysymstring: the keysymstring - this is typical... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KeyBinding:
"""A single key binding, consisting of a keycode, a modifier mask, and the InputEventHandler."""
def __init__(self, keysymstring, modifier_mask, modifiers, handler, click_count=1):
"""Creates a new key binding. Arguments: - keysymstring: the keysymstring - this is typically a string f... | the_stack_v2_python_sparse | usr/share/python-support/gnome-orca/orca/keybindings.py | haniokasai/netwalker-rootfs | train | 2 |
f04a6fdb0af6980bfed437a6accc1012cb16080c | [
"path, __ = os.path.splitext(filePath)\ncharacterPath = f'{path}_Characters.xml'\nsuper()._postprocess_xml_file(characterPath)\nlocationPath = f'{path}_Locations.xml'\nsuper()._postprocess_xml_file(locationPath)\nitemPath = f'{path}_Items.xml'\nsuper()._postprocess_xml_file(itemPath)",
"path, __ = os.path.splitex... | <|body_start_0|>
path, __ = os.path.splitext(filePath)
characterPath = f'{path}_Characters.xml'
super()._postprocess_xml_file(characterPath)
locationPath = f'{path}_Locations.xml'
super()._postprocess_xml_file(locationPath)
itemPath = f'{path}_Items.xml'
super()._... | yWriter XML data files representation. yWriter can import or export characters, locations and items as separate xml files. This class represents a set of three xml files generated from a yWriter 7 project. | DataFiles | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataFiles:
"""yWriter XML data files representation. yWriter can import or export characters, locations and items as separate xml files. This class represents a set of three xml files generated from a yWriter 7 project."""
def _postprocess_xml_file(self, filePath):
"""Postprocess thr... | stack_v2_sparse_classes_36k_train_012261 | 3,167 | permissive | [
{
"docstring": "Postprocess three xml files created by ElementTree. Positional argument: filePath: str -- path to .yw7 xml file. Generate the xml file paths from the .yw7 path. Read, postprocess and write the characters, locations, and items xml files. Extends the superclass method.",
"name": "_postprocess_... | 2 | stack_v2_sparse_classes_30k_train_011832 | Implement the Python class `DataFiles` described below.
Class description:
yWriter XML data files representation. yWriter can import or export characters, locations and items as separate xml files. This class represents a set of three xml files generated from a yWriter 7 project.
Method signatures and docstrings:
- d... | Implement the Python class `DataFiles` described below.
Class description:
yWriter XML data files representation. yWriter can import or export characters, locations and items as separate xml files. This class represents a set of three xml files generated from a yWriter 7 project.
Method signatures and docstrings:
- d... | 33a868daed653c3371f5991d243a034668a80884 | <|skeleton|>
class DataFiles:
"""yWriter XML data files representation. yWriter can import or export characters, locations and items as separate xml files. This class represents a set of three xml files generated from a yWriter 7 project."""
def _postprocess_xml_file(self, filePath):
"""Postprocess thr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataFiles:
"""yWriter XML data files representation. yWriter can import or export characters, locations and items as separate xml files. This class represents a set of three xml files generated from a yWriter 7 project."""
def _postprocess_xml_file(self, filePath):
"""Postprocess three xml files ... | the_stack_v2_python_sparse | src/pywriter/yw/data_files.py | peter88213/PyWriter | train | 3 |
511c16c70b9a87c43de2a28773d220f8c0e157ba | [
"if request.method in self.safe_methods:\n return True\nif request.user.is_authenticated and hasattr(request.user, 'profile'):\n return True\nreturn False",
"if obj.account == request.user:\n return True\nreturn False"
] | <|body_start_0|>
if request.method in self.safe_methods:
return True
if request.user.is_authenticated and hasattr(request.user, 'profile'):
return True
return False
<|end_body_0|>
<|body_start_1|>
if obj.account == request.user:
return True
re... | The Permission class used by UserProfileView. | UserProfilePermissions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProfilePermissions:
"""The Permission class used by UserProfileView."""
def has_permission(self, request, view):
"""Checks if request is safe, if not it checks if the user is authenticated and has a valid profile, because that account may be other type like a driver, shop or an a... | stack_v2_sparse_classes_36k_train_012262 | 1,859 | permissive | [
{
"docstring": "Checks if request is safe, if not it checks if the user is authenticated and has a valid profile, because that account may be other type like a driver, shop or an admin.",
"name": "has_permission",
"signature": "def has_permission(self, request, view)"
},
{
"docstring": "Checks i... | 2 | stack_v2_sparse_classes_30k_train_007198 | Implement the Python class `UserProfilePermissions` described below.
Class description:
The Permission class used by UserProfileView.
Method signatures and docstrings:
- def has_permission(self, request, view): Checks if request is safe, if not it checks if the user is authenticated and has a valid profile, because t... | Implement the Python class `UserProfilePermissions` described below.
Class description:
The Permission class used by UserProfileView.
Method signatures and docstrings:
- def has_permission(self, request, view): Checks if request is safe, if not it checks if the user is authenticated and has a valid profile, because t... | 7c361a31c5225c6ad649fcf92e323bdb10cc4c16 | <|skeleton|>
class UserProfilePermissions:
"""The Permission class used by UserProfileView."""
def has_permission(self, request, view):
"""Checks if request is safe, if not it checks if the user is authenticated and has a valid profile, because that account may be other type like a driver, shop or an a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserProfilePermissions:
"""The Permission class used by UserProfileView."""
def has_permission(self, request, view):
"""Checks if request is safe, if not it checks if the user is authenticated and has a valid profile, because that account may be other type like a driver, shop or an admin."""
... | the_stack_v2_python_sparse | users/permissions.py | ahmed-alllam/Koshkie-Server | train | 0 |
13421ce80f463c1fc3d39bb808181c83962672af | [
"self.spec = spec\nself.neurons = {}\nself.connections = []\nself.params = {}",
"yaml_network = {}\nneurons = network.neuron\nconnections = network.connection\nself._parse_neurons(neurons)\nself._parse_connections(connections)\nyaml_network['neurons'] = self.neurons\nyaml_network['connections'] = self.connections... | <|body_start_0|>
self.spec = spec
self.neurons = {}
self.connections = []
self.params = {}
<|end_body_0|>
<|body_start_1|>
yaml_network = {}
neurons = network.neuron
connections = network.connection
self._parse_neurons(neurons)
self._parse_connect... | Encoder class for the standard neural network spec. | NeuralNetworkEncoder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NeuralNetworkEncoder:
"""Encoder class for the standard neural network spec."""
def __init__(self, spec):
""":param spec: :type spec: NeuralNetImplementation :return:"""
<|body_0|>
def parse_neural_network(self, network):
""":param network: :type protobuf brain s... | stack_v2_sparse_classes_36k_train_012263 | 5,411 | permissive | [
{
"docstring": ":param spec: :type spec: NeuralNetImplementation :return:",
"name": "__init__",
"signature": "def __init__(self, spec)"
},
{
"docstring": ":param network: :type protobuf brain specification :return:",
"name": "parse_neural_network",
"signature": "def parse_neural_network(... | 4 | null | Implement the Python class `NeuralNetworkEncoder` described below.
Class description:
Encoder class for the standard neural network spec.
Method signatures and docstrings:
- def __init__(self, spec): :param spec: :type spec: NeuralNetImplementation :return:
- def parse_neural_network(self, network): :param network: :... | Implement the Python class `NeuralNetworkEncoder` described below.
Class description:
Encoder class for the standard neural network spec.
Method signatures and docstrings:
- def __init__(self, spec): :param spec: :type spec: NeuralNetImplementation :return:
- def parse_neural_network(self, network): :param network: :... | 70e65320a28fe04e121145b2cdde289d3052728a | <|skeleton|>
class NeuralNetworkEncoder:
"""Encoder class for the standard neural network spec."""
def __init__(self, spec):
""":param spec: :type spec: NeuralNetImplementation :return:"""
<|body_0|>
def parse_neural_network(self, network):
""":param network: :type protobuf brain s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NeuralNetworkEncoder:
"""Encoder class for the standard neural network spec."""
def __init__(self, spec):
""":param spec: :type spec: NeuralNetImplementation :return:"""
self.spec = spec
self.neurons = {}
self.connections = []
self.params = {}
def parse_neural... | the_stack_v2_python_sparse | revolve/convert/proto_to_yaml.py | ElteHupkes/revolve | train | 0 |
95b76fb520afd561c38e599f43095acbffdf8812 | [
"self._reactor = reactor\nself._getThreadPool = reactor.getThreadPool if getThreadPool is None else getThreadPool\nself._getaddrinfo = getaddrinfo",
"pool = self._getThreadPool()\naddressFamily = _typesToAF[_any if addressTypes is None else frozenset(addressTypes)]\nsocketType = _transportToSocket[transportSemant... | <|body_start_0|>
self._reactor = reactor
self._getThreadPool = reactor.getThreadPool if getThreadPool is None else getThreadPool
self._getaddrinfo = getaddrinfo
<|end_body_0|>
<|body_start_1|>
pool = self._getThreadPool()
addressFamily = _typesToAF[_any if addressTypes is None e... | L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread. | GAIResolver | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GAIResolver:
"""L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread."""
def __init__(self, reactor: IReactorThreads, getThreadPool: Optional[Callable[[], 'ThreadPool']]=None, getaddrinfo: Callable[[str, int, int, int], _GETADDRINFO_RESULT]=getadd... | stack_v2_sparse_classes_36k_train_012264 | 5,240 | permissive | [
{
"docstring": "Create a L{GAIResolver}. @param reactor: the reactor to schedule result-delivery on @type reactor: L{IReactorThreads} @param getThreadPool: a function to retrieve the thread pool to use for scheduling name resolutions. If not supplied, the use the given C{reactor}'s thread pool. @type getThreadP... | 2 | stack_v2_sparse_classes_30k_train_020736 | Implement the Python class `GAIResolver` described below.
Class description:
L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread.
Method signatures and docstrings:
- def __init__(self, reactor: IReactorThreads, getThreadPool: Optional[Callable[[], 'ThreadPool']]=None, get... | Implement the Python class `GAIResolver` described below.
Class description:
L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread.
Method signatures and docstrings:
- def __init__(self, reactor: IReactorThreads, getThreadPool: Optional[Callable[[], 'ThreadPool']]=None, get... | d35bed8369514fe727b4fe1afb68f48cc8b2655a | <|skeleton|>
class GAIResolver:
"""L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread."""
def __init__(self, reactor: IReactorThreads, getThreadPool: Optional[Callable[[], 'ThreadPool']]=None, getaddrinfo: Callable[[str, int, int, int], _GETADDRINFO_RESULT]=getadd... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GAIResolver:
"""L{IHostnameResolver} implementation that resolves hostnames by calling L{getaddrinfo} in a thread."""
def __init__(self, reactor: IReactorThreads, getThreadPool: Optional[Callable[[], 'ThreadPool']]=None, getaddrinfo: Callable[[str, int, int, int], _GETADDRINFO_RESULT]=getaddrinfo):
... | the_stack_v2_python_sparse | synapse/util/gai_resolver.py | matrix-org/synapse | train | 12,215 |
d7f35d17e468006a7867e470e4bb93f166f44b6c | [
"if len(s) == 1:\n return 1\nelif s == '':\n return 0\nlength = 0\nsub = []\nfor c in s:\n if c in sub:\n sub = sub[sub.index(c) + 1:]\n sub.append(c)\n length = max(length, len(sub))\nreturn length",
"dicts = {}\nlength = start = 0\nfor i, c in enumerate(s):\n if c in dicts:\n sum... | <|body_start_0|>
if len(s) == 1:
return 1
elif s == '':
return 0
length = 0
sub = []
for c in s:
if c in sub:
sub = sub[sub.index(c) + 1:]
sub.append(c)
length = max(length, len(sub))
return lengt... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring1(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) == 1:
return 1
... | stack_v2_sparse_classes_36k_train_012265 | 989 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring1",
"signature": "def lengthOfLongestSubstring1(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000853 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring1(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring1(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def lengthOf... | 3ac66a1bf85a344234c746ebf3de30e643838e5f | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring1(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
if len(s) == 1:
return 1
elif s == '':
return 0
length = 0
sub = []
for c in s:
if c in sub:
sub = sub[sub.index(c) + 1:]
... | the_stack_v2_python_sparse | 3. Longest Substring Without Repeating Characters/3.py | JohnHuiWB/leetcode | train | 0 | |
0a473d13775608aceced1d2c210a92bb82f1a36d | [
"self.url_addresses = []\nif url_addresses and isinstance(url_addresses, list):\n for given_url in url_addresses:\n if given_url and isinstance(given_url, str) and url(given_url):\n self.url_addresses.append(given_url)\nif not self.url_addresses:\n self.url_addresses = TEST_URLS\nself.driver... | <|body_start_0|>
self.url_addresses = []
if url_addresses and isinstance(url_addresses, list):
for given_url in url_addresses:
if given_url and isinstance(given_url, str) and url(given_url):
self.url_addresses.append(given_url)
if not self.url_addr... | WebPagesScreenshots | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WebPagesScreenshots:
def __init__(self, url_addresses=None):
"""creates new instance of WebPagesScreenshots Object :param url_addresses: URL addresses to take screenshots from (list)"""
<|body_0|>
def scroll_down_and_grab_screen(self):
"""scrolling page down with sel... | stack_v2_sparse_classes_36k_train_012266 | 7,939 | permissive | [
{
"docstring": "creates new instance of WebPagesScreenshots Object :param url_addresses: URL addresses to take screenshots from (list)",
"name": "__init__",
"signature": "def __init__(self, url_addresses=None)"
},
{
"docstring": "scrolling page down with selenium WebDriver to get more data from ... | 2 | stack_v2_sparse_classes_30k_train_020098 | Implement the Python class `WebPagesScreenshots` described below.
Class description:
Implement the WebPagesScreenshots class.
Method signatures and docstrings:
- def __init__(self, url_addresses=None): creates new instance of WebPagesScreenshots Object :param url_addresses: URL addresses to take screenshots from (lis... | Implement the Python class `WebPagesScreenshots` described below.
Class description:
Implement the WebPagesScreenshots class.
Method signatures and docstrings:
- def __init__(self, url_addresses=None): creates new instance of WebPagesScreenshots Object :param url_addresses: URL addresses to take screenshots from (lis... | d08525bca4f7719b7bdf2f824ec8c6fd5b1c929d | <|skeleton|>
class WebPagesScreenshots:
def __init__(self, url_addresses=None):
"""creates new instance of WebPagesScreenshots Object :param url_addresses: URL addresses to take screenshots from (list)"""
<|body_0|>
def scroll_down_and_grab_screen(self):
"""scrolling page down with sel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WebPagesScreenshots:
def __init__(self, url_addresses=None):
"""creates new instance of WebPagesScreenshots Object :param url_addresses: URL addresses to take screenshots from (list)"""
self.url_addresses = []
if url_addresses and isinstance(url_addresses, list):
for given_... | the_stack_v2_python_sparse | web_pages_screenshots.py | KnifeF/py-automate-stuff | train | 0 | |
62a06265a899f1d422031d38480e05ed3b650020 | [
"category_id = self.data.skill_category_id or -1\nquery = Query(SkillCategory.collection, service_id=self._client.service_id)\nquery.add_term(field=SkillCategory.id_field, value=category_id)\nreturn InstanceProxy(SkillCategory, query, client=self._client)",
"query = Query(Skill.collection, service_id=self._client... | <|body_start_0|>
category_id = self.data.skill_category_id or -1
query = Query(SkillCategory.collection, service_id=self._client.service_id)
query.add_term(field=SkillCategory.id_field, value=category_id)
return InstanceProxy(SkillCategory, query, client=self._client)
<|end_body_0|>
<|b... | A series of skills or certifications. .. attribute:: id :type: int The unique ID for this skill line. In the API payload, this field is called ``skill_line_id``. .. attribute:: name :type: auraxium.types.LocaleData Localised name of the skill line. .. attribute:: skill_points :type: int Unused. Any skill lines that can... | SkillLine | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SkillLine:
"""A series of skills or certifications. .. attribute:: id :type: int The unique ID for this skill line. In the API payload, this field is called ``skill_line_id``. .. attribute:: name :type: auraxium.types.LocaleData Localised name of the skill line. .. attribute:: skill_points :type:... | stack_v2_sparse_classes_36k_train_012267 | 11,338 | permissive | [
{
"docstring": "Return the category this skill line belongs to. This returns an :class:`auraxium.InstanceProxy`.",
"name": "category",
"signature": "def category(self) -> InstanceProxy[SkillCategory]"
},
{
"docstring": "Return the skills contained in this skill line in order. This returns a :cla... | 2 | null | Implement the Python class `SkillLine` described below.
Class description:
A series of skills or certifications. .. attribute:: id :type: int The unique ID for this skill line. In the API payload, this field is called ``skill_line_id``. .. attribute:: name :type: auraxium.types.LocaleData Localised name of the skill l... | Implement the Python class `SkillLine` described below.
Class description:
A series of skills or certifications. .. attribute:: id :type: int The unique ID for this skill line. In the API payload, this field is called ``skill_line_id``. .. attribute:: name :type: auraxium.types.LocaleData Localised name of the skill l... | 23dcf927a199c8d7c917d89fe96b470a34cf4bba | <|skeleton|>
class SkillLine:
"""A series of skills or certifications. .. attribute:: id :type: int The unique ID for this skill line. In the API payload, this field is called ``skill_line_id``. .. attribute:: name :type: auraxium.types.LocaleData Localised name of the skill line. .. attribute:: skill_points :type:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SkillLine:
"""A series of skills or certifications. .. attribute:: id :type: int The unique ID for this skill line. In the API payload, this field is called ``skill_line_id``. .. attribute:: name :type: auraxium.types.LocaleData Localised name of the skill line. .. attribute:: skill_points :type: int Unused. ... | the_stack_v2_python_sparse | auraxium/ps2/_skill.py | leonhard-s/auraxium | train | 29 |
c2744166669b99c6e32a885d92505d613db28787 | [
"point_cloud_1 = [[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [3.0, 3.0, 3.0]]]\npoint_cloud_2 = [[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [3.0, 3.0, 3.0]]]\ntf_point_cloud_1 = tf.constant(point_cloud_1)\ntf_point_cloud_2 = tf.constant(point_cloud_2)\ndist1, idx1, dist2, idx2 = tf_nndistance.nn_distance(tf_point_cloud_1, tf_point... | <|body_start_0|>
point_cloud_1 = [[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [3.0, 3.0, 3.0]]]
point_cloud_2 = [[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [3.0, 3.0, 3.0]]]
tf_point_cloud_1 = tf.constant(point_cloud_1)
tf_point_cloud_2 = tf.constant(point_cloud_2)
dist1, idx1, dist2, idx2 = tf_n... | NearestNeighborTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NearestNeighborTest:
def test_nn_distance(self):
"""Test for nearest neighbor algorithm where distance should be 0."""
<|body_0|>
def test_nn_distance_2(self):
"""Test for nearest neighbor algorithm where distance is non-zero."""
<|body_1|>
def test_nn_d... | stack_v2_sparse_classes_36k_train_012268 | 4,084 | permissive | [
{
"docstring": "Test for nearest neighbor algorithm where distance should be 0.",
"name": "test_nn_distance",
"signature": "def test_nn_distance(self)"
},
{
"docstring": "Test for nearest neighbor algorithm where distance is non-zero.",
"name": "test_nn_distance_2",
"signature": "def tes... | 5 | stack_v2_sparse_classes_30k_train_010844 | Implement the Python class `NearestNeighborTest` described below.
Class description:
Implement the NearestNeighborTest class.
Method signatures and docstrings:
- def test_nn_distance(self): Test for nearest neighbor algorithm where distance should be 0.
- def test_nn_distance_2(self): Test for nearest neighbor algori... | Implement the Python class `NearestNeighborTest` described below.
Class description:
Implement the NearestNeighborTest class.
Method signatures and docstrings:
- def test_nn_distance(self): Test for nearest neighbor algorithm where distance should be 0.
- def test_nn_distance_2(self): Test for nearest neighbor algori... | f3cb31909666012dfcf38e5fe0b0f6feb3801560 | <|skeleton|>
class NearestNeighborTest:
def test_nn_distance(self):
"""Test for nearest neighbor algorithm where distance should be 0."""
<|body_0|>
def test_nn_distance_2(self):
"""Test for nearest neighbor algorithm where distance is non-zero."""
<|body_1|>
def test_nn_d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NearestNeighborTest:
def test_nn_distance(self):
"""Test for nearest neighbor algorithm where distance should be 0."""
point_cloud_1 = [[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [3.0, 3.0, 3.0]]]
point_cloud_2 = [[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0], [3.0, 3.0, 3.0]]]
tf_point_cloud_1 = ... | the_stack_v2_python_sparse | src/tf_ops/nn_distance/tf_nndistance_test.py | minghanz/monopsr | train | 0 | |
452f5aed3db230a3c032145bea468190b38090f5 | [
"resources.AddMembershipResourceArg(parser, membership_required=True, membership_help='The name of the Membership to update.')\napp_group = parser.add_mutually_exclusive_group(required=False)\napp_group.add_argument('--enable-stackdriver-on-applications', action='store_true', help='Enable the collection of logs and... | <|body_start_0|>
resources.AddMembershipResourceArg(parser, membership_required=True, membership_help='The name of the Membership to update.')
app_group = parser.add_mutually_exclusive_group(required=False)
app_group.add_argument('--enable-stackdriver-on-applications', action='store_true', help=... | Update Anthos Observability spec on the specified membership. ## EXAMPLES To update the observability configuration on a membership named `MEMBERSHIP_NAME`, run: $ {command} --membership=MEMBERSHIP_NAME --enable-stackdriver-on-applications=true | Update | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Update:
"""Update Anthos Observability spec on the specified membership. ## EXAMPLES To update the observability configuration on a membership named `MEMBERSHIP_NAME`, run: $ {command} --membership=MEMBERSHIP_NAME --enable-stackdriver-on-applications=true"""
def Args(cls, parser):
""... | stack_v2_sparse_classes_36k_train_012269 | 4,987 | permissive | [
{
"docstring": "Set up arguments for this command. Args: parser: An argparse.ArgumentParser.",
"name": "Args",
"signature": "def Args(cls, parser)"
},
{
"docstring": "Runs the command. Args: args: argparse.Namespace, An object that contains the values for the arguments specified in the .Args() m... | 2 | null | Implement the Python class `Update` described below.
Class description:
Update Anthos Observability spec on the specified membership. ## EXAMPLES To update the observability configuration on a membership named `MEMBERSHIP_NAME`, run: $ {command} --membership=MEMBERSHIP_NAME --enable-stackdriver-on-applications=true
M... | Implement the Python class `Update` described below.
Class description:
Update Anthos Observability spec on the specified membership. ## EXAMPLES To update the observability configuration on a membership named `MEMBERSHIP_NAME`, run: $ {command} --membership=MEMBERSHIP_NAME --enable-stackdriver-on-applications=true
M... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class Update:
"""Update Anthos Observability spec on the specified membership. ## EXAMPLES To update the observability configuration on a membership named `MEMBERSHIP_NAME`, run: $ {command} --membership=MEMBERSHIP_NAME --enable-stackdriver-on-applications=true"""
def Args(cls, parser):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Update:
"""Update Anthos Observability spec on the specified membership. ## EXAMPLES To update the observability configuration on a membership named `MEMBERSHIP_NAME`, run: $ {command} --membership=MEMBERSHIP_NAME --enable-stackdriver-on-applications=true"""
def Args(cls, parser):
"""Set up argum... | the_stack_v2_python_sparse | lib/surface/container/fleet/anthosobservability/update.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
228823ebe3953dc99bfbd9e354247bfcc483f7fe | [
"self.center = center\nself.scale = scale\nself.trimming = trimming",
"X = _check_input(X)\n_check_trimming(self.trimming)\nif type(self.center) is str:\n center = eval(self.center)\nelse:\n center = self.center\nif type(self.scale) is str:\n scale = eval(self.scale)\nelse:\n scale = self.scale\nn = X... | <|body_start_0|>
self.center = center
self.scale = scale
self.trimming = trimming
<|end_body_0|>
<|body_start_1|>
X = _check_input(X)
_check_trimming(self.trimming)
if type(self.center) is str:
center = eval(self.center)
else:
center = sel... | VersatileScaler Center and Scale data about classical or robust location and scale estimates Parameters ---------- `center`: str or callable, location estimator. String has to be name of the function to be used, or 'None'. `scale`: str or callable, scale estimator `trimming`: trimming percentage to be used in location ... | VersatileScaler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersatileScaler:
"""VersatileScaler Center and Scale data about classical or robust location and scale estimates Parameters ---------- `center`: str or callable, location estimator. String has to be name of the function to be used, or 'None'. `scale`: str or callable, scale estimator `trimming`: ... | stack_v2_sparse_classes_36k_train_012270 | 9,199 | permissive | [
{
"docstring": "Initialize values. Check if correct options provided.",
"name": "__init__",
"signature": "def __init__(self, center='mean', scale='std', trimming=0)"
},
{
"docstring": "Estimate location and scale, store these in the class object. Trimming fraction can be provided as keyword argu... | 6 | stack_v2_sparse_classes_30k_train_002671 | Implement the Python class `VersatileScaler` described below.
Class description:
VersatileScaler Center and Scale data about classical or robust location and scale estimates Parameters ---------- `center`: str or callable, location estimator. String has to be name of the function to be used, or 'None'. `scale`: str or... | Implement the Python class `VersatileScaler` described below.
Class description:
VersatileScaler Center and Scale data about classical or robust location and scale estimates Parameters ---------- `center`: str or callable, location estimator. String has to be name of the function to be used, or 'None'. `scale`: str or... | 8b11800f11b9ccd852b24a449d4a82762e7dc811 | <|skeleton|>
class VersatileScaler:
"""VersatileScaler Center and Scale data about classical or robust location and scale estimates Parameters ---------- `center`: str or callable, location estimator. String has to be name of the function to be used, or 'None'. `scale`: str or callable, scale estimator `trimming`: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VersatileScaler:
"""VersatileScaler Center and Scale data about classical or robust location and scale estimates Parameters ---------- `center`: str or callable, location estimator. String has to be name of the function to be used, or 'None'. `scale`: str or callable, scale estimator `trimming`: trimming perc... | the_stack_v2_python_sparse | src/direpack/preprocessing/robcent.py | SvenSerneels/direpack | train | 37 |
5ade448680a5844bf13a1889693214afefa8fdf9 | [
"self.name = name\nself.wx_name = name + '_wx'\nself.wh_name = name + '_wh'\nself.b_name = name + '_b'\nself.input_dim = input_dim\nself.h_dim = h_dim\nself.params = {}\nself.grads = {}\nself.params[self.wx_name] = init_scale * np.random.randn(input_dim, h_dim)\nself.params[self.wh_name] = init_scale * np.random.ra... | <|body_start_0|>
self.name = name
self.wx_name = name + '_wx'
self.wh_name = name + '_wh'
self.b_name = name + '_b'
self.input_dim = input_dim
self.h_dim = h_dim
self.params = {}
self.grads = {}
self.params[self.wx_name] = init_scale * np.random.ra... | VanillaRNN | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VanillaRNN:
def __init__(self, input_dim, h_dim, init_scale=0.02, name='vanilla_rnn'):
"""In forward pass, please use self.params for the weights and biases for this layer In backward pass, store the computed gradients to self.grads name: the name of current layer input_dim: input dimens... | stack_v2_sparse_classes_36k_train_012271 | 28,090 | permissive | [
{
"docstring": "In forward pass, please use self.params for the weights and biases for this layer In backward pass, store the computed gradients to self.grads name: the name of current layer input_dim: input dimension h_dim: hidden state dimension meta: variables needed for the backward pass",
"name": "__in... | 5 | stack_v2_sparse_classes_30k_train_011758 | Implement the Python class `VanillaRNN` described below.
Class description:
Implement the VanillaRNN class.
Method signatures and docstrings:
- def __init__(self, input_dim, h_dim, init_scale=0.02, name='vanilla_rnn'): In forward pass, please use self.params for the weights and biases for this layer In backward pass,... | Implement the Python class `VanillaRNN` described below.
Class description:
Implement the VanillaRNN class.
Method signatures and docstrings:
- def __init__(self, input_dim, h_dim, init_scale=0.02, name='vanilla_rnn'): In forward pass, please use self.params for the weights and biases for this layer In backward pass,... | c5cfa2410d47c7e43a476a8c8a9795182fe8f836 | <|skeleton|>
class VanillaRNN:
def __init__(self, input_dim, h_dim, init_scale=0.02, name='vanilla_rnn'):
"""In forward pass, please use self.params for the weights and biases for this layer In backward pass, store the computed gradients to self.grads name: the name of current layer input_dim: input dimens... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VanillaRNN:
def __init__(self, input_dim, h_dim, init_scale=0.02, name='vanilla_rnn'):
"""In forward pass, please use self.params for the weights and biases for this layer In backward pass, store the computed gradients to self.grads name: the name of current layer input_dim: input dimension h_dim: hid... | the_stack_v2_python_sparse | 2017_Fall/CSCI-599/Assignment02/lib/layer_utils.py | saketkc/hatex | train | 21 | |
61e05ddce9bc09f0f81f3442a1ca80b544608ad8 | [
"self.nuts = [variety() for variety in [Middle_Eastern, South_Asian, American]]\nself.weights = [2.5, 3.0, 3.5]\nfor i in range(0, 3):\n self.assertEqual(self.nuts[i].weight, self.weights[i], 'The weight is wrong')",
"varieties = [variety() for variety in [Middle_Eastern, South_Asian, South_Asian, American, Am... | <|body_start_0|>
self.nuts = [variety() for variety in [Middle_Eastern, South_Asian, American]]
self.weights = [2.5, 3.0, 3.5]
for i in range(0, 3):
self.assertEqual(self.nuts[i].weight, self.weights[i], 'The weight is wrong')
<|end_body_0|>
<|body_start_1|>
varieties = [var... | TestCoconuts | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCoconuts:
def test_weight(self):
"""Tests that different coconut types each have a different weight"""
<|body_0|>
def test_total_weight(self):
"""Tests that the sum of a specified number of coconuts of each type returned matches the expected total"""
<|bo... | stack_v2_sparse_classes_36k_train_012272 | 2,195 | no_license | [
{
"docstring": "Tests that different coconut types each have a different weight",
"name": "test_weight",
"signature": "def test_weight(self)"
},
{
"docstring": "Tests that the sum of a specified number of coconuts of each type returned matches the expected total",
"name": "test_total_weight"... | 3 | stack_v2_sparse_classes_30k_train_007441 | Implement the Python class `TestCoconuts` described below.
Class description:
Implement the TestCoconuts class.
Method signatures and docstrings:
- def test_weight(self): Tests that different coconut types each have a different weight
- def test_total_weight(self): Tests that the sum of a specified number of coconuts... | Implement the Python class `TestCoconuts` described below.
Class description:
Implement the TestCoconuts class.
Method signatures and docstrings:
- def test_weight(self): Tests that different coconut types each have a different weight
- def test_total_weight(self): Tests that the sum of a specified number of coconuts... | 4ca74dd054be17e7a57da891c5d239e3f915d3f1 | <|skeleton|>
class TestCoconuts:
def test_weight(self):
"""Tests that different coconut types each have a different weight"""
<|body_0|>
def test_total_weight(self):
"""Tests that the sum of a specified number of coconuts of each type returned matches the expected total"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestCoconuts:
def test_weight(self):
"""Tests that different coconut types each have a different weight"""
self.nuts = [variety() for variety in [Middle_Eastern, South_Asian, American]]
self.weights = [2.5, 3.0, 3.5]
for i in range(0, 3):
self.assertEqual(self.nuts[... | the_stack_v2_python_sparse | Lesson 2 - Converting Data Into Structured Objects/project/attempt_2/test_coconuts.py | jmwoloso/Python_3 | train | 0 | |
c7482a4492bc592cc99600fee56a50122fb06b53 | [
"self.kw = kwargs\nStep.__init__(self, *args, routine=routine, **kwargs)\nt1_settings = self.parse_settings(self.get_requested_settings())\nqbcal.T1.__init__(self, dev=self.dev, **t1_settings)",
"kwargs = {}\ntask_list = []\nfor qb in self.qubits:\n task = {}\n task_list_fields = requested_kwargs['task_list... | <|body_start_0|>
self.kw = kwargs
Step.__init__(self, *args, routine=routine, **kwargs)
t1_settings = self.parse_settings(self.get_requested_settings())
qbcal.T1.__init__(self, dev=self.dev, **t1_settings)
<|end_body_0|>
<|body_start_1|>
kwargs = {}
task_list = []
... | A wrapper class for the T1 experiment. | T1Step | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class T1Step:
"""A wrapper class for the T1 experiment."""
def __init__(self, routine, *args, **kwargs):
"""Initializes the T1Step class, which also includes initialization of the T1 experiment. Arguments: routine (Step): The parent routine. Keyword args: qubits (list): List of qubits to b... | stack_v2_sparse_classes_36k_train_012273 | 48,290 | permissive | [
{
"docstring": "Initializes the T1Step class, which also includes initialization of the T1 experiment. Arguments: routine (Step): The parent routine. Keyword args: qubits (list): List of qubits to be used in the routine. Configuration parameters (coming from the configuration parameter dictionary): transition_n... | 4 | stack_v2_sparse_classes_30k_train_013726 | Implement the Python class `T1Step` described below.
Class description:
A wrapper class for the T1 experiment.
Method signatures and docstrings:
- def __init__(self, routine, *args, **kwargs): Initializes the T1Step class, which also includes initialization of the T1 experiment. Arguments: routine (Step): The parent ... | Implement the Python class `T1Step` described below.
Class description:
A wrapper class for the T1 experiment.
Method signatures and docstrings:
- def __init__(self, routine, *args, **kwargs): Initializes the T1Step class, which also includes initialization of the T1 experiment. Arguments: routine (Step): The parent ... | bc6733d774fe31a23f4c7e73e5eb0beed8d30e7d | <|skeleton|>
class T1Step:
"""A wrapper class for the T1 experiment."""
def __init__(self, routine, *args, **kwargs):
"""Initializes the T1Step class, which also includes initialization of the T1 experiment. Arguments: routine (Step): The parent routine. Keyword args: qubits (list): List of qubits to b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class T1Step:
"""A wrapper class for the T1 experiment."""
def __init__(self, routine, *args, **kwargs):
"""Initializes the T1Step class, which also includes initialization of the T1 experiment. Arguments: routine (Step): The parent routine. Keyword args: qubits (list): List of qubits to be used in the... | the_stack_v2_python_sparse | pycqed/measurement/calibration/automatic_calibration_routines/single_qubit_routines.py | QudevETH/PycQED_py3 | train | 8 |
738dd6d9f81a2e9cfcf1a517e923618fa3ba4a2a | [
"command = 'create'\nif mac is not None:\n args = 'tapname {} mac {}'.format(tap_name, mac)\nelse:\n args = 'tapname {}'.format(tap_name)\nwith VatTerminal(node) as vat:\n resp = vat.vat_terminal_exec_cmd_from_template('tap.vat', tap_command=command, tap_arguments=args)\nsw_if_idx = resp[0]['sw_if_index']\... | <|body_start_0|>
command = 'create'
if mac is not None:
args = 'tapname {} mac {}'.format(tap_name, mac)
else:
args = 'tapname {}'.format(tap_name)
with VatTerminal(node) as vat:
resp = vat.vat_terminal_exec_cmd_from_template('tap.vat', tap_command=com... | Tap utilities. | Tap | [
"CC-BY-4.0",
"Apache-2.0",
"LicenseRef-scancode-dco-1.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tap:
"""Tap utilities."""
def add_tap_interface(node, tap_name, mac=None):
"""Add tap interface with name and optionally with MAC. :param node: Node to add tap on. :param tap_name: Tap interface name for linux tap. :param mac: Optional MAC address for VPP tap. :type node: dict :type ... | stack_v2_sparse_classes_36k_train_012274 | 6,728 | permissive | [
{
"docstring": "Add tap interface with name and optionally with MAC. :param node: Node to add tap on. :param tap_name: Tap interface name for linux tap. :param mac: Optional MAC address for VPP tap. :type node: dict :type tap_name: str :type mac: str :returns: Returns a interface index. :rtype: int",
"name"... | 6 | null | Implement the Python class `Tap` described below.
Class description:
Tap utilities.
Method signatures and docstrings:
- def add_tap_interface(node, tap_name, mac=None): Add tap interface with name and optionally with MAC. :param node: Node to add tap on. :param tap_name: Tap interface name for linux tap. :param mac: ... | Implement the Python class `Tap` described below.
Class description:
Tap utilities.
Method signatures and docstrings:
- def add_tap_interface(node, tap_name, mac=None): Add tap interface with name and optionally with MAC. :param node: Node to add tap on. :param tap_name: Tap interface name for linux tap. :param mac: ... | 3151c98618c78e3782e48bbe4d9c8f906c126f69 | <|skeleton|>
class Tap:
"""Tap utilities."""
def add_tap_interface(node, tap_name, mac=None):
"""Add tap interface with name and optionally with MAC. :param node: Node to add tap on. :param tap_name: Tap interface name for linux tap. :param mac: Optional MAC address for VPP tap. :type node: dict :type ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Tap:
"""Tap utilities."""
def add_tap_interface(node, tap_name, mac=None):
"""Add tap interface with name and optionally with MAC. :param node: Node to add tap on. :param tap_name: Tap interface name for linux tap. :param mac: Optional MAC address for VPP tap. :type node: dict :type tap_name: str... | the_stack_v2_python_sparse | resources/libraries/python/Tap.py | preym17/csit | train | 0 |
55985167491ac63bb4049ec33e7dbf677eb205fb | [
"if not isinstance(value, list):\n raise XRPLBinaryCodecException(f'Invalid type to construct a PathSet: expected list, received {value.__class__.__name__}.')\nif _is_path_set(value):\n buffer: List[bytes] = []\n for path_dict in value:\n path = Path.from_value(path_dict)\n buffer.append(byte... | <|body_start_0|>
if not isinstance(value, list):
raise XRPLBinaryCodecException(f'Invalid type to construct a PathSet: expected list, received {value.__class__.__name__}.')
if _is_path_set(value):
buffer: List[bytes] = []
for path_dict in value:
path =... | Codec for serializing and deserializing PathSet fields. See `PathSet Fields <https://xrpl.org/serialization.html#pathset-fields>`_ | PathSet | [
"ISC",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PathSet:
"""Codec for serializing and deserializing PathSet fields. See `PathSet Fields <https://xrpl.org/serialization.html#pathset-fields>`_"""
def from_value(cls: Type[PathSet], value: List[List[Dict[str, str]]]) -> PathSet:
"""Construct a PathSet from a List of Lists representing... | stack_v2_sparse_classes_36k_train_012275 | 9,067 | permissive | [
{
"docstring": "Construct a PathSet from a List of Lists representing paths. Args: value: The List to construct a PathSet object from. Returns: The PathSet constructed from value. Raises: XRPLBinaryCodecException: If the PathSet representation is invalid.",
"name": "from_value",
"signature": "def from_v... | 3 | null | Implement the Python class `PathSet` described below.
Class description:
Codec for serializing and deserializing PathSet fields. See `PathSet Fields <https://xrpl.org/serialization.html#pathset-fields>`_
Method signatures and docstrings:
- def from_value(cls: Type[PathSet], value: List[List[Dict[str, str]]]) -> PathS... | Implement the Python class `PathSet` described below.
Class description:
Codec for serializing and deserializing PathSet fields. See `PathSet Fields <https://xrpl.org/serialization.html#pathset-fields>`_
Method signatures and docstrings:
- def from_value(cls: Type[PathSet], value: List[List[Dict[str, str]]]) -> PathS... | e5bbdf458ad83e6670a4ebf3df63e17fed8b099f | <|skeleton|>
class PathSet:
"""Codec for serializing and deserializing PathSet fields. See `PathSet Fields <https://xrpl.org/serialization.html#pathset-fields>`_"""
def from_value(cls: Type[PathSet], value: List[List[Dict[str, str]]]) -> PathSet:
"""Construct a PathSet from a List of Lists representing... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PathSet:
"""Codec for serializing and deserializing PathSet fields. See `PathSet Fields <https://xrpl.org/serialization.html#pathset-fields>`_"""
def from_value(cls: Type[PathSet], value: List[List[Dict[str, str]]]) -> PathSet:
"""Construct a PathSet from a List of Lists representing paths. Args:... | the_stack_v2_python_sparse | xrpl/core/binarycodec/types/path_set.py | yyolk/xrpl-py | train | 1 |
ad73eac64076004763219edc238d4f2ddc727d01 | [
"def is_matched(left, right):\n if not left and (not right):\n return True\n if not left or not right:\n return False\n if left.val != right.val:\n return False\n return is_matched(left.left, right.right) and is_matched(left.right, right.left)\nif not root:\n return True\nreturn ... | <|body_start_0|>
def is_matched(left, right):
if not left and (not right):
return True
if not left or not right:
return False
if left.val != right.val:
return False
return is_matched(left.left, right.right) and is_ma... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isSymmetric_iterative(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def is_matched(left, right):
... | stack_v2_sparse_classes_36k_train_012276 | 2,214 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isSymmetric",
"signature": "def isSymmetric(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isSymmetric_iterative",
"signature": "def isSymmetric_iterative(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009527 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool
- def isSymmetric_iterative(self, root): :type root: TreeNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSymmetric(self, root): :type root: TreeNode :rtype: bool
- def isSymmetric_iterative(self, root): :type root: TreeNode :rtype: bool
<|skeleton|>
class Solution:
def i... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isSymmetric_iterative(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isSymmetric(self, root):
""":type root: TreeNode :rtype: bool"""
def is_matched(left, right):
if not left and (not right):
return True
if not left or not right:
return False
if left.val != right.val:
... | the_stack_v2_python_sparse | src/lt_101.py | oxhead/CodingYourWay | train | 0 | |
9e2d322cb9719fde8286510f62034d0149e75876 | [
"ret = []\nstk = collections.deque()\nwhile root is not None or len(stk) > 0:\n if root is not None:\n ret.append(str(root.val))\n stk.append(root)\n root = root.left\n else:\n root = stk.pop()\n root = root.right\nreturn ' '.join(ret)",
"def insert(root, val):\n pre = ... | <|body_start_0|>
ret = []
stk = collections.deque()
while root is not None or len(stk) > 0:
if root is not None:
ret.append(str(root.val))
stk.append(root)
root = root.left
else:
root = stk.pop()
... | 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_012277 | 2,336 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 9190d3d178f1733aa226973757ee7e045b7bab00 | <|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"""
ret = []
stk = collections.deque()
while root is not None or len(stk) > 0:
if root is not None:
ret.append(str(root.val))
stk.... | the_stack_v2_python_sparse | SerializeAndDeserializeBST.py | ellinx/LC-python | train | 1 | |
1053ed374a79e18aa796f9961319a43862d6949f | [
"super(CompetitiveDenseBlock, self).__init__()\npadding_h = int((params['kernel_h'] - 1) / 2)\npadding_w = int((params['kernel_w'] - 1) / 2)\nconv0_in_size = int(params['num_filters'])\nconv1_in_size = int(params['num_filters'])\nconv2_in_size = int(params['num_filters'])\nself.conv0 = nn.Conv2d(in_channels=conv0_i... | <|body_start_0|>
super(CompetitiveDenseBlock, self).__init__()
padding_h = int((params['kernel_h'] - 1) / 2)
padding_w = int((params['kernel_w'] - 1) / 2)
conv0_in_size = int(params['num_filters'])
conv1_in_size = int(params['num_filters'])
conv2_in_size = int(params['num... | Function to define a competitive dense block comprising of 3 convolutional layers, with BN/ReLU Inputs: -- Params params = {'num_channels': 1, 'num_filters': 64, 'kernel_h': 5, 'kernel_w': 5, 'stride_conv': 1, 'pool': 2, 'stride_pool': 2, 'num_classes': 44 'kernel_c':1 'input':True } | CompetitiveDenseBlock | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CompetitiveDenseBlock:
"""Function to define a competitive dense block comprising of 3 convolutional layers, with BN/ReLU Inputs: -- Params params = {'num_channels': 1, 'num_filters': 64, 'kernel_h': 5, 'kernel_w': 5, 'stride_conv': 1, 'pool': 2, 'stride_pool': 2, 'num_classes': 44 'kernel_c':1 '... | stack_v2_sparse_classes_36k_train_012278 | 12,544 | permissive | [
{
"docstring": "Constructor to initialize the Competitive Dense Block :param dict params: dictionary with parameters specifiying block architecture :param bool outblock: Flag indicating if last block (before classifier block) is set up. Default: False :return None:",
"name": "__init__",
"signature": "de... | 2 | stack_v2_sparse_classes_30k_train_020046 | Implement the Python class `CompetitiveDenseBlock` described below.
Class description:
Function to define a competitive dense block comprising of 3 convolutional layers, with BN/ReLU Inputs: -- Params params = {'num_channels': 1, 'num_filters': 64, 'kernel_h': 5, 'kernel_w': 5, 'stride_conv': 1, 'pool': 2, 'stride_poo... | Implement the Python class `CompetitiveDenseBlock` described below.
Class description:
Function to define a competitive dense block comprising of 3 convolutional layers, with BN/ReLU Inputs: -- Params params = {'num_channels': 1, 'num_filters': 64, 'kernel_h': 5, 'kernel_w': 5, 'stride_conv': 1, 'pool': 2, 'stride_poo... | 1f20d60d4e81332715f7e50d82ad6779963fe30a | <|skeleton|>
class CompetitiveDenseBlock:
"""Function to define a competitive dense block comprising of 3 convolutional layers, with BN/ReLU Inputs: -- Params params = {'num_channels': 1, 'num_filters': 64, 'kernel_h': 5, 'kernel_w': 5, 'stride_conv': 1, 'pool': 2, 'stride_pool': 2, 'num_classes': 44 'kernel_c':1 '... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CompetitiveDenseBlock:
"""Function to define a competitive dense block comprising of 3 convolutional layers, with BN/ReLU Inputs: -- Params params = {'num_channels': 1, 'num_filters': 64, 'kernel_h': 5, 'kernel_w': 5, 'stride_conv': 1, 'pool': 2, 'stride_pool': 2, 'num_classes': 44 'kernel_c':1 'input':True }... | the_stack_v2_python_sparse | FastSurferCNN/models/sub_module.py | abdullahbas/FastSurfer | train | 0 |
909421d6d4e5e31627cf7b83c1f263ad0516f704 | [
"envelopes.sort(key=lambda x: (x[0], -x[1]))\n\ndef LIS(nums):\n dp = []\n for i in range(len(nums)):\n idx = bisect_left(dp, nums[i])\n if idx == len(dp):\n dp.append(nums[i])\n else:\n dp[idx] = nums[i]\n return len(dp)\nreturn LIS([i[1] for i in envelopes])",
... | <|body_start_0|>
envelopes.sort(key=lambda x: (x[0], -x[1]))
def LIS(nums):
dp = []
for i in range(len(nums)):
idx = bisect_left(dp, nums[i])
if idx == len(dp):
dp.append(nums[i])
else:
dp[id... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
<|body_0|>
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
envelopes.s... | stack_v2_sparse_classes_36k_train_012279 | 1,388 | no_license | [
{
"docstring": ":type envelopes: List[List[int]] :rtype: int",
"name": "maxEnvelopes",
"signature": "def maxEnvelopes(self, envelopes)"
},
{
"docstring": ":type envelopes: List[List[int]] :rtype: int",
"name": "maxEnvelopes",
"signature": "def maxEnvelopes(self, envelopes)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000986 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxEnvelopes(self, envelopes): :type envelopes: List[List[int]] :rtype: int
- def maxEnvelopes(self, envelopes): :type envelopes: List[List[int]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxEnvelopes(self, envelopes): :type envelopes: List[List[int]] :rtype: int
- def maxEnvelopes(self, envelopes): :type envelopes: List[List[int]] :rtype: int
<|skeleton|>
cl... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Solution:
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
<|body_0|>
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxEnvelopes(self, envelopes):
""":type envelopes: List[List[int]] :rtype: int"""
envelopes.sort(key=lambda x: (x[0], -x[1]))
def LIS(nums):
dp = []
for i in range(len(nums)):
idx = bisect_left(dp, nums[i])
if idx =... | the_stack_v2_python_sparse | 0354_Russian_Doll_Envelopes.py | bingli8802/leetcode | train | 0 | |
7a908dbb6ede1d104a249485a63f73b3eed68c52 | [
"try:\n username = request.data.get('username', '')\n User.reset_password(username=username)\n return Response({}, status=status.HTTP_201_CREATED)\nexcept User.DoesNotExist:\n raise Http404",
"if not request.user.is_authenticated:\n raise PermissionDenied()\ndata = request.data\npassword, new_passw... | <|body_start_0|>
try:
username = request.data.get('username', '')
User.reset_password(username=username)
return Response({}, status=status.HTTP_201_CREATED)
except User.DoesNotExist:
raise Http404
<|end_body_0|>
<|body_start_1|>
if not request.use... | UserPassword | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserPassword:
def post(self, request, *args, **kwargs):
"""Reset a user's password and email it to them."""
<|body_0|>
def put(self, request, *args, **kwargs):
"""Change the authenticated user's password."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_012280 | 4,355 | permissive | [
{
"docstring": "Reset a user's password and email it to them.",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
},
{
"docstring": "Change the authenticated user's password.",
"name": "put",
"signature": "def put(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014108 | Implement the Python class `UserPassword` described below.
Class description:
Implement the UserPassword class.
Method signatures and docstrings:
- def post(self, request, *args, **kwargs): Reset a user's password and email it to them.
- def put(self, request, *args, **kwargs): Change the authenticated user's passwor... | Implement the Python class `UserPassword` described below.
Class description:
Implement the UserPassword class.
Method signatures and docstrings:
- def post(self, request, *args, **kwargs): Reset a user's password and email it to them.
- def put(self, request, *args, **kwargs): Change the authenticated user's passwor... | 0f737e92d7946a83150b402784d911ab7438547b | <|skeleton|>
class UserPassword:
def post(self, request, *args, **kwargs):
"""Reset a user's password and email it to them."""
<|body_0|>
def put(self, request, *args, **kwargs):
"""Change the authenticated user's password."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserPassword:
def post(self, request, *args, **kwargs):
"""Reset a user's password and email it to them."""
try:
username = request.data.get('username', '')
User.reset_password(username=username)
return Response({}, status=status.HTTP_201_CREATED)
ex... | the_stack_v2_python_sparse | huxley/api/views/user.py | bmun/huxley | train | 23 | |
007e8bd5206148faec3cad23ce5fd4464904b92a | [
"k %= len(nums)\nself.reverse(nums, 0, len(nums) - 1)\nself.reverse(nums, 0, k - 1)\nself.reverse(nums, k, len(nums) - 1)",
"while start < end:\n temp = nums[start]\n nums[start] = nums[end]\n nums[end] = temp\n start += 1\n end -= 1"
] | <|body_start_0|>
k %= len(nums)
self.reverse(nums, 0, len(nums) - 1)
self.reverse(nums, 0, k - 1)
self.reverse(nums, k, len(nums) - 1)
<|end_body_0|>
<|body_start_1|>
while start < end:
temp = nums[start]
nums[start] = nums[end]
nums[end] = te... | Solution4 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution4:
def rotate(self, nums, k) -> None:
"""这个方法基于这个事实：当我们旋转数组 k 次， k\\%nk%n 个尾部元素会被移动到头部，剩下的元素会被向后移动。 在这个方法中，我们首先将所有元素反转。然后反转前 k 个元素，再反转后面 n-kn−k 个元素，就能得到想要的结果。 假设 n=7n=7 且 k=3k=3 。 原始数组 : 1 2 3 4 5 6 7 反转所有数字后 : 7 6 5 4 3 2 1 反转前 k 个数字后 : 5 6 7 4 3 2 1 反转后 n-k 个数字后 : 5 6 7 1 2 3 4... | stack_v2_sparse_classes_36k_train_012281 | 3,149 | no_license | [
{
"docstring": "这个方法基于这个事实：当我们旋转数组 k 次， k\\\\%nk%n 个尾部元素会被移动到头部，剩下的元素会被向后移动。 在这个方法中，我们首先将所有元素反转。然后反转前 k 个元素，再反转后面 n-kn−k 个元素，就能得到想要的结果。 假设 n=7n=7 且 k=3k=3 。 原始数组 : 1 2 3 4 5 6 7 反转所有数字后 : 7 6 5 4 3 2 1 反转前 k 个数字后 : 5 6 7 4 3 2 1 反转后 n-k 个数字后 : 5 6 7 1 2 3 4 --> 结果",
"name": "rotate",
"signature": "def r... | 2 | null | Implement the Python class `Solution4` described below.
Class description:
Implement the Solution4 class.
Method signatures and docstrings:
- def rotate(self, nums, k) -> None: 这个方法基于这个事实：当我们旋转数组 k 次， k\\%nk%n 个尾部元素会被移动到头部，剩下的元素会被向后移动。 在这个方法中，我们首先将所有元素反转。然后反转前 k 个元素，再反转后面 n-kn−k 个元素，就能得到想要的结果。 假设 n=7n=7 且 k=3k=3 。 原始... | Implement the Python class `Solution4` described below.
Class description:
Implement the Solution4 class.
Method signatures and docstrings:
- def rotate(self, nums, k) -> None: 这个方法基于这个事实：当我们旋转数组 k 次， k\\%nk%n 个尾部元素会被移动到头部，剩下的元素会被向后移动。 在这个方法中，我们首先将所有元素反转。然后反转前 k 个元素，再反转后面 n-kn−k 个元素，就能得到想要的结果。 假设 n=7n=7 且 k=3k=3 。 原始... | 08c958e7ba28e92c3115b88f3f94a350fc2ba276 | <|skeleton|>
class Solution4:
def rotate(self, nums, k) -> None:
"""这个方法基于这个事实：当我们旋转数组 k 次， k\\%nk%n 个尾部元素会被移动到头部，剩下的元素会被向后移动。 在这个方法中，我们首先将所有元素反转。然后反转前 k 个元素，再反转后面 n-kn−k 个元素，就能得到想要的结果。 假设 n=7n=7 且 k=3k=3 。 原始数组 : 1 2 3 4 5 6 7 反转所有数字后 : 7 6 5 4 3 2 1 反转前 k 个数字后 : 5 6 7 4 3 2 1 反转后 n-k 个数字后 : 5 6 7 1 2 3 4... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution4:
def rotate(self, nums, k) -> None:
"""这个方法基于这个事实：当我们旋转数组 k 次， k\\%nk%n 个尾部元素会被移动到头部，剩下的元素会被向后移动。 在这个方法中，我们首先将所有元素反转。然后反转前 k 个元素，再反转后面 n-kn−k 个元素，就能得到想要的结果。 假设 n=7n=7 且 k=3k=3 。 原始数组 : 1 2 3 4 5 6 7 反转所有数字后 : 7 6 5 4 3 2 1 反转前 k 个数字后 : 5 6 7 4 3 2 1 反转后 n-k 个数字后 : 5 6 7 1 2 3 4 --> 结果"""
... | the_stack_v2_python_sparse | 数组/189. 旋转数组.py | 1530426574/practices-of-Data-Structures-and-Algorithms | train | 2 | |
5e8a2e6bd65e8d78ae00f475c693e4d22231964c | [
"super().__init__(order=CallbackOrder.external)\nif mode not in ['best', 'last']:\n raise ValueError(f\"Unknown `mode` '{mode}'. Must be 'best' or 'last'\")\nself.metric = metric\nself.mode = mode\nself.do_once = do_once\nself.best_score = None\nself.is_better = None\nself.first_time = True\nif minimize:\n se... | <|body_start_0|>
super().__init__(order=CallbackOrder.external)
if mode not in ['best', 'last']:
raise ValueError(f"Unknown `mode` '{mode}'. Must be 'best' or 'last'")
self.metric = metric
self.mode = mode
self.do_once = do_once
self.best_score = None
... | Dynamic Quantization Callback This callback applying dynamic quantization to the model. | DynamicQuantizationCallback | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DynamicQuantizationCallback:
"""Dynamic Quantization Callback This callback applying dynamic quantization to the model."""
def __init__(self, metric: str='loss', minimize: bool=True, min_delta: float=1e-06, mode: str='best', do_once: bool=True, qconfig_spec: Optional[Union[Set, Dict]]=None, ... | stack_v2_sparse_classes_36k_train_012282 | 5,000 | permissive | [
{
"docstring": "Init method for callback Args: metric: Metric key we should trace model based on minimize: Whether do we minimize metric or not min_delta: Minimum value of change for metric to be considered as improved mode: One of `best` or `last` do_once: Whether do we trace once per stage or every epoch qcon... | 3 | stack_v2_sparse_classes_30k_train_015001 | Implement the Python class `DynamicQuantizationCallback` described below.
Class description:
Dynamic Quantization Callback This callback applying dynamic quantization to the model.
Method signatures and docstrings:
- def __init__(self, metric: str='loss', minimize: bool=True, min_delta: float=1e-06, mode: str='best',... | Implement the Python class `DynamicQuantizationCallback` described below.
Class description:
Dynamic Quantization Callback This callback applying dynamic quantization to the model.
Method signatures and docstrings:
- def __init__(self, metric: str='loss', minimize: bool=True, min_delta: float=1e-06, mode: str='best',... | 8ce39fc31635eabc348b055a2df8ec8bc5700dce | <|skeleton|>
class DynamicQuantizationCallback:
"""Dynamic Quantization Callback This callback applying dynamic quantization to the model."""
def __init__(self, metric: str='loss', minimize: bool=True, min_delta: float=1e-06, mode: str='best', do_once: bool=True, qconfig_spec: Optional[Union[Set, Dict]]=None, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DynamicQuantizationCallback:
"""Dynamic Quantization Callback This callback applying dynamic quantization to the model."""
def __init__(self, metric: str='loss', minimize: bool=True, min_delta: float=1e-06, mode: str='best', do_once: bool=True, qconfig_spec: Optional[Union[Set, Dict]]=None, dtype: Option... | the_stack_v2_python_sparse | catalyst/callbacks/quantization.py | 418sec/catalyst | train | 0 |
27de8bfe64a91ccf13abf24aa4004908ae3be567 | [
"self.matrix = matrix\nif not matrix:\n return\nm = len(matrix)\nn = len(matrix[0])\nself.dp = [[0] * (n + 1) for _ in range(m)]\nfor i in range(m):\n for j in range(1, n + 1):\n self.dp[i][j] = self.dp[i][j - 1] + matrix[i][j - 1]",
"res = 0\nfor k in range(row1, row2 + 1):\n res += self.dp[k][co... | <|body_start_0|>
self.matrix = matrix
if not matrix:
return
m = len(matrix)
n = len(matrix[0])
self.dp = [[0] * (n + 1) for _ in range(m)]
for i in range(m):
for j in range(1, n + 1):
self.dp[i][j] = self.dp[i][j - 1] + matrix[i][j ... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_012283 | 1,170 | no_license | [
{
"docstring": ":type matrix: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, matrix)"
},
{
"docstring": ":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int",
"name": "sumRegion",
"signature": "def sumRegion(self, row1, col1, row2, col2)"
... | 2 | stack_v2_sparse_classes_30k_train_002159 | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
self.matrix = matrix
if not matrix:
return
m = len(matrix)
n = len(matrix[0])
self.dp = [[0] * (n + 1) for _ in range(m)]
for i in range(m):
for j in range... | the_stack_v2_python_sparse | 0304_Range_Sum_Query_2D-Immutable.py | bingli8802/leetcode | train | 0 | |
95ec0c5f71a39b0a01f3e920960d02e1543c0812 | [
"self.fl_model = fl_model\nself.data_handler = data_handler\nself.hyperparams = hyperparams",
"try:\n if model_update is not None:\n self.fl_model.update_model(model_update)\n logger.info('Local model updated.')\n else:\n logger.info('No model update was provided.')\nexcept Exception as... | <|body_start_0|>
self.fl_model = fl_model
self.data_handler = data_handler
self.hyperparams = hyperparams
<|end_body_0|>
<|body_start_1|>
try:
if model_update is not None:
self.fl_model.update_model(model_update)
logger.info('Local model updat... | LocalTrainingHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocalTrainingHandler:
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain ... | stack_v2_sparse_classes_36k_train_012284 | 4,704 | no_license | [
{
"docstring": "Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain data :type data_handler: `DataHandler` :param hyperparams: Hyperparameters used for training. :type hyper... | 6 | stack_v2_sparse_classes_30k_train_021445 | Implement the Python class `LocalTrainingHandler` described below.
Class description:
Implement the LocalTrainingHandler class.
Method signatures and docstrings:
- def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs): Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model... | Implement the Python class `LocalTrainingHandler` described below.
Class description:
Implement the LocalTrainingHandler class.
Method signatures and docstrings:
- def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs): Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model... | a4cd429484e857b849df08d93688d35e632b3e29 | <|skeleton|>
class LocalTrainingHandler:
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LocalTrainingHandler:
def __init__(self, fl_model, data_handler, hyperparams=None, **kwargs):
"""Initialize LocalTrainingHandler with fl_model, data_handler :param fl_model: model to be trained :type fl_model: `model.FLModel` :param data_handler: data handler that will be used to obtain data :type dat... | the_stack_v2_python_sparse | venv/Lib/site-packages/ibmfl/party/training/local_training_handler.py | yusufcet/healty-hearts | train | 0 | |
162f5ee60161cd0028357fbb3134a4243be62758 | [
"game_loop = True\nstore = Store.get_instance()\nwhile game_loop:\n state = store.get_state()\n if state.reboot or state.next_state:\n if state.reboot:\n store.set_initial()\n elif state.next_state:\n store.set_next_state()\n elif state.quit:\n game_loop = False\n... | <|body_start_0|>
game_loop = True
store = Store.get_instance()
while game_loop:
state = store.get_state()
if state.reboot or state.next_state:
if state.reboot:
store.set_initial()
elif state.next_state:
... | this class deals with the smooth running of the states | GameManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameManager:
"""this class deals with the smooth running of the states"""
def start():
"""this method start the game with the main loop"""
<|body_0|>
def collect_item(object_name):
"""recover the item that the character wants to pick up"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_012285 | 5,555 | no_license | [
{
"docstring": "this method start the game with the main loop",
"name": "start",
"signature": "def start()"
},
{
"docstring": "recover the item that the character wants to pick up",
"name": "collect_item",
"signature": "def collect_item(object_name)"
},
{
"docstring": "determines... | 3 | stack_v2_sparse_classes_30k_train_013302 | Implement the Python class `GameManager` described below.
Class description:
this class deals with the smooth running of the states
Method signatures and docstrings:
- def start(): this method start the game with the main loop
- def collect_item(object_name): recover the item that the character wants to pick up
- def... | Implement the Python class `GameManager` described below.
Class description:
this class deals with the smooth running of the states
Method signatures and docstrings:
- def start(): this method start the game with the main loop
- def collect_item(object_name): recover the item that the character wants to pick up
- def... | 475ed7dd9ecf972909c84b58d926745bc8687ba1 | <|skeleton|>
class GameManager:
"""this class deals with the smooth running of the states"""
def start():
"""this method start the game with the main loop"""
<|body_0|>
def collect_item(object_name):
"""recover the item that the character wants to pick up"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GameManager:
"""this class deals with the smooth running of the states"""
def start():
"""this method start the game with the main loop"""
game_loop = True
store = Store.get_instance()
while game_loop:
state = store.get_state()
if state.reboot or st... | the_stack_v2_python_sparse | managers.py | ivan-fr/oc_projet_3 | train | 0 |
e08e6e0472bdeb7defc458524d39b8b991af7e50 | [
"target = self.named.data.site_xpos['target', ['x', 'z']]\nball = self.named.data.xpos['ball', ['x', 'z']]\nreturn target - ball",
"ball_to_target = abs(self.ball_to_target())\ntarget_size = self.named.model.site_size['target', [0, 2]]\nball_size = self.named.model.geom_size['ball', 0]\nreturn float(all(ball_to_t... | <|body_start_0|>
target = self.named.data.site_xpos['target', ['x', 'z']]
ball = self.named.data.xpos['ball', ['x', 'z']]
return target - ball
<|end_body_0|>
<|body_start_1|>
ball_to_target = abs(self.ball_to_target())
target_size = self.named.model.site_size['target', [0, 2]]
... | Physics with additional features for the Ball-in-Cup domain. | Physics | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Physics:
"""Physics with additional features for the Ball-in-Cup domain."""
def ball_to_target(self):
"""Returns the vector from the ball to the target."""
<|body_0|>
def in_target(self):
"""Returns 1 if the ball is in the target, 0 otherwise."""
<|body_1... | stack_v2_sparse_classes_36k_train_012286 | 3,510 | permissive | [
{
"docstring": "Returns the vector from the ball to the target.",
"name": "ball_to_target",
"signature": "def ball_to_target(self)"
},
{
"docstring": "Returns 1 if the ball is in the target, 0 otherwise.",
"name": "in_target",
"signature": "def in_target(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003551 | Implement the Python class `Physics` described below.
Class description:
Physics with additional features for the Ball-in-Cup domain.
Method signatures and docstrings:
- def ball_to_target(self): Returns the vector from the ball to the target.
- def in_target(self): Returns 1 if the ball is in the target, 0 otherwise... | Implement the Python class `Physics` described below.
Class description:
Physics with additional features for the Ball-in-Cup domain.
Method signatures and docstrings:
- def ball_to_target(self): Returns the vector from the ball to the target.
- def in_target(self): Returns 1 if the ball is in the target, 0 otherwise... | cec06842df66f1eef11eb40e97e02fd428795df7 | <|skeleton|>
class Physics:
"""Physics with additional features for the Ball-in-Cup domain."""
def ball_to_target(self):
"""Returns the vector from the ball to the target."""
<|body_0|>
def in_target(self):
"""Returns 1 if the ball is in the target, 0 otherwise."""
<|body_1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Physics:
"""Physics with additional features for the Ball-in-Cup domain."""
def ball_to_target(self):
"""Returns the vector from the ball to the target."""
target = self.named.data.site_xpos['target', ['x', 'z']]
ball = self.named.data.xpos['ball', ['x', 'z']]
return targe... | the_stack_v2_python_sparse | dmc_remastered/ball_in_cup.py | QData/dmc_remastered | train | 11 |
3d60b1e2bb7a94bdc268eb7268657a3716a05f9f | [
"Parametre.__init__(self, 'supprimer', 'del')\nself.schema = '<texte_libre>'\nself.aide_courte = 'supprime une ou plusieurs routes'\nself.aide_longue = \"Cette commande permet de supprimer une ou plusieurs routes. La syntaxe pour supprimer une route est de préciser sa salle d'origine et de destination, comme %route... | <|body_start_0|>
Parametre.__init__(self, 'supprimer', 'del')
self.schema = '<texte_libre>'
self.aide_courte = 'supprime une ou plusieurs routes'
self.aide_longue = "Cette commande permet de supprimer une ou plusieurs routes. La syntaxe pour supprimer une route est de préciser sa salle d... | Commande 'route supprimer' | PrmSupprimer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmSupprimer:
"""Commande 'route supprimer'"""
def __init__(self):
"""Constructeur du paramètre."""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Méthode d'interprétation de commande"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_012287 | 3,607 | permissive | [
{
"docstring": "Constructeur du paramètre.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Méthode d'interprétation de commande",
"name": "interpreter",
"signature": "def interpreter(self, personnage, dic_masques)"
}
] | 2 | null | Implement the Python class `PrmSupprimer` described below.
Class description:
Commande 'route supprimer'
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre.
- def interpreter(self, personnage, dic_masques): Méthode d'interprétation de commande | Implement the Python class `PrmSupprimer` described below.
Class description:
Commande 'route supprimer'
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre.
- def interpreter(self, personnage, dic_masques): Méthode d'interprétation de commande
<|skeleton|>
class PrmSupprimer:
"""Co... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmSupprimer:
"""Commande 'route supprimer'"""
def __init__(self):
"""Constructeur du paramètre."""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Méthode d'interprétation de commande"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PrmSupprimer:
"""Commande 'route supprimer'"""
def __init__(self):
"""Constructeur du paramètre."""
Parametre.__init__(self, 'supprimer', 'del')
self.schema = '<texte_libre>'
self.aide_courte = 'supprime une ou plusieurs routes'
self.aide_longue = "Cette commande p... | the_stack_v2_python_sparse | src/secondaires/route/commandes/route/supprimer.py | vincent-lg/tsunami | train | 5 |
b71fe722d7c66fb18faf18f86b97d049d02c3be1 | [
"if pid == 0:\n logger.warning(\"PID 0 refers to 'every process in calling processes', and should be untouched\")\n return True\ntry:\n os.kill(pid, 0)\nexcept OSError as pid_checkout_error:\n if pid_checkout_error.errno == errno.ESRCH:\n return False\n if pid_checkout_error.errno == errno.EPE... | <|body_start_0|>
if pid == 0:
logger.warning("PID 0 refers to 'every process in calling processes', and should be untouched")
return True
try:
os.kill(pid, 0)
except OSError as pid_checkout_error:
if pid_checkout_error.errno == errno.ESRCH:
... | .. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline. | CommandLine | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommandLine:
""".. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline."""
def check_pid_exists(pid: int) -> bool:
""".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (i... | stack_v2_sparse_classes_36k_train_012288 | 5,903 | permissive | [
{
"docstring": ".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (int): the Process ID you want to check. Returns: A boolean stating the result. Example: .. code-block:: python CommandLine.check_pid_exists(os.getpid()) True",
"name": "check_pid_exists",
... | 3 | null | Implement the Python class `CommandLine` described below.
Class description:
.. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline.
Method signatures and docstrings:
- def check_pid_exists(pid: int) -> bool: .. versionadded:: 0.2.0 Check whether the give... | Implement the Python class `CommandLine` described below.
Class description:
.. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline.
Method signatures and docstrings:
- def check_pid_exists(pid: int) -> bool: .. versionadded:: 0.2.0 Check whether the give... | 5e63e4e78a9db4929a34f76b8db5099f0cc49115 | <|skeleton|>
class CommandLine:
""".. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline."""
def check_pid_exists(pid: int) -> bool:
""".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommandLine:
""".. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline."""
def check_pid_exists(pid: int) -> bool:
""".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (int): the Proc... | the_stack_v2_python_sparse | pyhdtoolkit/utils/cmdline.py | fsoubelet/PyhDToolkit | train | 7 |
8a685681bfe46a305a053b9d858f3667a50f2d14 | [
"super().__init__()\nself.fc = nn.Linear(768, num_labels)\nself.loss_fn = FocalLoss()",
"x = data['x']\ny = data['y']\nlogits = self.fc(x)\nif y is not None:\n loss = self.loss_fn.forward(torch.reshape(logits, [-1, logits.shape[-1]]), y.view(-1))\nelse:\n loss = None\nreturn {'loss': loss, 'logits': logits,... | <|body_start_0|>
super().__init__()
self.fc = nn.Linear(768, num_labels)
self.loss_fn = FocalLoss()
<|end_body_0|>
<|body_start_1|>
x = data['x']
y = data['y']
logits = self.fc(x)
if y is not None:
loss = self.loss_fn.forward(torch.reshape(logits, [-1... | TaskModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskModel:
def __init__(self, num_labels, dropout_prob, bret_pretrainded_path):
""":param num_labels: :param dropout_prob: :param bret_pretrainded_path:"""
<|body_0|>
def forward(self, data):
""":param data: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_36k_train_012289 | 5,862 | permissive | [
{
"docstring": ":param num_labels: :param dropout_prob: :param bret_pretrainded_path:",
"name": "__init__",
"signature": "def __init__(self, num_labels, dropout_prob, bret_pretrainded_path)"
},
{
"docstring": ":param data: :return:",
"name": "forward",
"signature": "def forward(self, dat... | 2 | null | Implement the Python class `TaskModel` described below.
Class description:
Implement the TaskModel class.
Method signatures and docstrings:
- def __init__(self, num_labels, dropout_prob, bret_pretrainded_path): :param num_labels: :param dropout_prob: :param bret_pretrainded_path:
- def forward(self, data): :param dat... | Implement the Python class `TaskModel` described below.
Class description:
Implement the TaskModel class.
Method signatures and docstrings:
- def __init__(self, num_labels, dropout_prob, bret_pretrainded_path): :param num_labels: :param dropout_prob: :param bret_pretrainded_path:
- def forward(self, data): :param dat... | 9aa9d7a50ada1deb653d295dd8a7fe46321b9094 | <|skeleton|>
class TaskModel:
def __init__(self, num_labels, dropout_prob, bret_pretrainded_path):
""":param num_labels: :param dropout_prob: :param bret_pretrainded_path:"""
<|body_0|>
def forward(self, data):
""":param data: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskModel:
def __init__(self, num_labels, dropout_prob, bret_pretrainded_path):
""":param num_labels: :param dropout_prob: :param bret_pretrainded_path:"""
super().__init__()
self.fc = nn.Linear(768, num_labels)
self.loss_fn = FocalLoss()
def forward(self, data):
"... | the_stack_v2_python_sparse | src/nlp/classification/tf1/traditional_cls/_run_bert.py | wu-uw/OpenCompetition | train | 0 | |
78221a7ec98e7165723377cc52039e01b80ae10e | [
"self._compute_adapter = compute_adapter\nself._resource_service = resource_service\nself._client = compute_adapter.apitools_client\nself._messages = compute_adapter.messages\nself._status_enum = self._messages.Operation.StatusValueValuesEnum\nself._target_refs = target_refs",
"is_done = True\nfor operation_ref i... | <|body_start_0|>
self._compute_adapter = compute_adapter
self._resource_service = resource_service
self._client = compute_adapter.apitools_client
self._messages = compute_adapter.messages
self._status_enum = self._messages.Operation.StatusValueValuesEnum
self._target_refs... | Compute operations batch poller. | BatchPoller | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatchPoller:
"""Compute operations batch poller."""
def __init__(self, compute_adapter, resource_service, target_refs=None):
"""Initializes poller for compute operations. Args: compute_adapter: googlecloudsdk.api_lib.compute.client_adapter .ClientAdapter. resource_service: apitools.b... | stack_v2_sparse_classes_36k_train_012290 | 6,267 | permissive | [
{
"docstring": "Initializes poller for compute operations. Args: compute_adapter: googlecloudsdk.api_lib.compute.client_adapter .ClientAdapter. resource_service: apitools.base.py.base_api.BaseApiService, service representing the target of operation. target_refs: Resources, optional references to the expected ta... | 4 | null | Implement the Python class `BatchPoller` described below.
Class description:
Compute operations batch poller.
Method signatures and docstrings:
- def __init__(self, compute_adapter, resource_service, target_refs=None): Initializes poller for compute operations. Args: compute_adapter: googlecloudsdk.api_lib.compute.cl... | Implement the Python class `BatchPoller` described below.
Class description:
Compute operations batch poller.
Method signatures and docstrings:
- def __init__(self, compute_adapter, resource_service, target_refs=None): Initializes poller for compute operations. Args: compute_adapter: googlecloudsdk.api_lib.compute.cl... | c98b58aeb0994e011df960163541e9379ae7ea06 | <|skeleton|>
class BatchPoller:
"""Compute operations batch poller."""
def __init__(self, compute_adapter, resource_service, target_refs=None):
"""Initializes poller for compute operations. Args: compute_adapter: googlecloudsdk.api_lib.compute.client_adapter .ClientAdapter. resource_service: apitools.b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BatchPoller:
"""Compute operations batch poller."""
def __init__(self, compute_adapter, resource_service, target_refs=None):
"""Initializes poller for compute operations. Args: compute_adapter: googlecloudsdk.api_lib.compute.client_adapter .ClientAdapter. resource_service: apitools.base.py.base_a... | the_stack_v2_python_sparse | google-cloud-sdk/.install/.backup/lib/googlecloudsdk/api_lib/compute/operations/poller.py | KaranToor/MA450 | train | 1 |
b0f4e434b66372ab9d0ecb3be7db5fcadd1240ca | [
"self._num_neg = num_neg\nself._num_dup = num_dup\nself._left = inputs.left\nself._right = inputs.right\nself._task = tasks.Ranking()\nself._relation = self.transform_relation(inputs.relation)\nnum_pairs = len(self._relation) // (self._num_neg + 1)\nsuper().__init__(batch_size, num_pairs, stage, shuffle)",
"if 'l... | <|body_start_0|>
self._num_neg = num_neg
self._num_dup = num_dup
self._left = inputs.left
self._right = inputs.right
self._task = tasks.Ranking()
self._relation = self.transform_relation(inputs.relation)
num_pairs = len(self._relation) // (self._num_neg + 1)
... | PairGenerator for Matchzoo. Pair generator can be used only for ranking. Examples: >>> np.random.seed(111) >>> relation = [['qid0', 'did0', 0], ... ['qid0', 'did1', 1], ... ['qid0', 'did2', 2] ... ] >>> left = [['qid0', [1, 2]]] >>> right = [['did0', [2, 3]], ... ['did1', [3, 4]], ... ['did2', [4, 5]], ... ] >>> relati... | PairGenerator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PairGenerator:
"""PairGenerator for Matchzoo. Pair generator can be used only for ranking. Examples: >>> np.random.seed(111) >>> relation = [['qid0', 'did0', 0], ... ['qid0', 'did1', 1], ... ['qid0', 'did2', 2] ... ] >>> left = [['qid0', [1, 2]]] >>> right = [['did0', [2, 3]], ... ['did1', [3, 4]... | stack_v2_sparse_classes_36k_train_012291 | 5,818 | permissive | [
{
"docstring": "Construct the pair generator. :param inputs: the output generated by :class:`DataPack`. :param num_neg: the number of negative samples associated with each positive sample. :param num_dup: the number of duplicates for each positive sample. This variable is used to balance samples since there are... | 3 | stack_v2_sparse_classes_30k_train_004232 | Implement the Python class `PairGenerator` described below.
Class description:
PairGenerator for Matchzoo. Pair generator can be used only for ranking. Examples: >>> np.random.seed(111) >>> relation = [['qid0', 'did0', 0], ... ['qid0', 'did1', 1], ... ['qid0', 'did2', 2] ... ] >>> left = [['qid0', [1, 2]]] >>> right =... | Implement the Python class `PairGenerator` described below.
Class description:
PairGenerator for Matchzoo. Pair generator can be used only for ranking. Examples: >>> np.random.seed(111) >>> relation = [['qid0', 'did0', 0], ... ['qid0', 'did1', 1], ... ['qid0', 'did2', 2] ... ] >>> left = [['qid0', [1, 2]]] >>> right =... | e49d619a52b2e96b6f0e8e76164d76f623210198 | <|skeleton|>
class PairGenerator:
"""PairGenerator for Matchzoo. Pair generator can be used only for ranking. Examples: >>> np.random.seed(111) >>> relation = [['qid0', 'did0', 0], ... ['qid0', 'did1', 1], ... ['qid0', 'did2', 2] ... ] >>> left = [['qid0', [1, 2]]] >>> right = [['did0', [2, 3]], ... ['did1', [3, 4]... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PairGenerator:
"""PairGenerator for Matchzoo. Pair generator can be used only for ranking. Examples: >>> np.random.seed(111) >>> relation = [['qid0', 'did0', 0], ... ['qid0', 'did1', 1], ... ['qid0', 'did2', 2] ... ] >>> left = [['qid0', [1, 2]]] >>> right = [['did0', [2, 3]], ... ['did1', [3, 4]], ... ['did2... | the_stack_v2_python_sparse | matchzoo/generators/pair_generator.py | JacobPolloreno/MatchZoo | train | 0 |
9f114b834ef9b9bc326e68b4d85caa4296b60cdb | [
"dims = (wrapper.num_people, wrapper.num_people, wrapper.num_samples)\nsuper().__init__(wrapper, dims)\nself.embedder = embedder\nself.transformer = transformer",
"style_pid, source_pid, source_sid = coords_from_index(index, self.dims)\nsource_audio = self.wrapper.mel_from_ids(source_pid, source_sid)[None, :]\nst... | <|body_start_0|>
dims = (wrapper.num_people, wrapper.num_people, wrapper.num_samples)
super().__init__(wrapper, dims)
self.embedder = embedder
self.transformer = transformer
<|end_body_0|>
<|body_start_1|>
style_pid, source_pid, source_sid = coords_from_index(index, self.dims)
... | A class for training the isvoice discriminator with negative (generated) examples | Isvoice_Dataset_Fake | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Isvoice_Dataset_Fake:
"""A class for training the isvoice discriminator with negative (generated) examples"""
def __init__(self, wrapper, embedder, transformer):
"""There are (people * samples) original "real" files, and (people) possible transformations of each of files."""
... | stack_v2_sparse_classes_36k_train_012292 | 12,382 | no_license | [
{
"docstring": "There are (people * samples) original \"real\" files, and (people) possible transformations of each of files.",
"name": "__init__",
"signature": "def __init__(self, wrapper, embedder, transformer)"
},
{
"docstring": "# TODO Work on some sort of caching if there are speed/memory i... | 2 | stack_v2_sparse_classes_30k_test_001099 | Implement the Python class `Isvoice_Dataset_Fake` described below.
Class description:
A class for training the isvoice discriminator with negative (generated) examples
Method signatures and docstrings:
- def __init__(self, wrapper, embedder, transformer): There are (people * samples) original "real" files, and (peopl... | Implement the Python class `Isvoice_Dataset_Fake` described below.
Class description:
A class for training the isvoice discriminator with negative (generated) examples
Method signatures and docstrings:
- def __init__(self, wrapper, embedder, transformer): There are (people * samples) original "real" files, and (peopl... | ceb1b9580f515df744f7c7bfb94e6a2ae6a18c87 | <|skeleton|>
class Isvoice_Dataset_Fake:
"""A class for training the isvoice discriminator with negative (generated) examples"""
def __init__(self, wrapper, embedder, transformer):
"""There are (people * samples) original "real" files, and (people) possible transformations of each of files."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Isvoice_Dataset_Fake:
"""A class for training the isvoice discriminator with negative (generated) examples"""
def __init__(self, wrapper, embedder, transformer):
"""There are (people * samples) original "real" files, and (people) possible transformations of each of files."""
dims = (wrapp... | the_stack_v2_python_sparse | vocal-mimicry/dataset.py | anlsh/cs4803 | train | 0 |
48fffe56c77b5f42da862a87091034a8806fc2d9 | [
"decorator_name = ''.join(('@', Constraint.__name__.lower()))\nself.decorator_name = decorator_name\nself.args = args\nself.kwargs = kwargs\nself.scope = CONTEXT.in_pycompss()\nself.core_element = None\nself.core_element_configured = False",
"@wraps(user_function)\ndef constrained_f(*args: typing.Any, **kwargs: t... | <|body_start_0|>
decorator_name = ''.join(('@', Constraint.__name__.lower()))
self.decorator_name = decorator_name
self.args = args
self.kwargs = kwargs
self.scope = CONTEXT.in_pycompss()
self.core_element = None
self.core_element_configured = False
<|end_body_0|>... | Constraint decorator class. This decorator also preserves the argspec, but includes the __init__ and __call__ methods, useful on task constraint creation. | Constraint | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Constraint:
"""Constraint decorator class. This decorator also preserves the argspec, but includes the __init__ and __call__ methods, useful on task constraint creation."""
def __init__(self, *args: typing.Any, **kwargs: typing.Any) -> None:
"""Store arguments passed to the decorator... | stack_v2_sparse_classes_36k_train_012293 | 5,411 | permissive | [
{
"docstring": "Store arguments passed to the decorator. self = itself. args = not used. kwargs = dictionary with the given constraints. :param args: Arguments. :param kwargs: Keyword arguments.",
"name": "__init__",
"signature": "def __init__(self, *args: typing.Any, **kwargs: typing.Any) -> None"
},... | 3 | null | Implement the Python class `Constraint` described below.
Class description:
Constraint decorator class. This decorator also preserves the argspec, but includes the __init__ and __call__ methods, useful on task constraint creation.
Method signatures and docstrings:
- def __init__(self, *args: typing.Any, **kwargs: typ... | Implement the Python class `Constraint` described below.
Class description:
Constraint decorator class. This decorator also preserves the argspec, but includes the __init__ and __call__ methods, useful on task constraint creation.
Method signatures and docstrings:
- def __init__(self, *args: typing.Any, **kwargs: typ... | 5f7a31436d0e6f5acbeb66fa36ab8aad18dc4092 | <|skeleton|>
class Constraint:
"""Constraint decorator class. This decorator also preserves the argspec, but includes the __init__ and __call__ methods, useful on task constraint creation."""
def __init__(self, *args: typing.Any, **kwargs: typing.Any) -> None:
"""Store arguments passed to the decorator... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Constraint:
"""Constraint decorator class. This decorator also preserves the argspec, but includes the __init__ and __call__ methods, useful on task constraint creation."""
def __init__(self, *args: typing.Any, **kwargs: typing.Any) -> None:
"""Store arguments passed to the decorator. self = itse... | the_stack_v2_python_sparse | compss/programming_model/bindings/python/src/pycompss/api/constraint.py | bsc-wdc/compss | train | 39 |
a96c94f516245759d9c9106bd0acd430dd4e9ab4 | [
"from sunpy.coordinates.sun import _angular_radius\nif not isinstance(self.observer, HeliographicStonyhurst):\n if self.observer is None:\n raise ValueError('The observer must be defined, not `None`.')\n raise ValueError('The observer must be fully defined by specifying `obstime`.')\nreturn _angular_ra... | <|body_start_0|>
from sunpy.coordinates.sun import _angular_radius
if not isinstance(self.observer, HeliographicStonyhurst):
if self.observer is None:
raise ValueError('The observer must be defined, not `None`.')
raise ValueError('The observer must be fully define... | A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive values in the direction of the Sun's west li... | Helioprojective | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Helioprojective:
"""A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive v... | stack_v2_sparse_classes_36k_train_012294 | 35,206 | permissive | [
{
"docstring": "Angular radius of the Sun as seen by the observer. The ``rsun`` frame attribute is the radius of the Sun in length units. The tangent vector from the observer to the edge of the Sun forms a right-angle triangle with the radius of the Sun as the far side and the Sun-observer distance as the hypot... | 3 | stack_v2_sparse_classes_30k_train_012037 | Implement the Python class `Helioprojective` described below.
Class description:
A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and t... | Implement the Python class `Helioprojective` described below.
Class description:
A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and t... | edd3ea805f4540d41ce2932a0e865cab2d6a4cf5 | <|skeleton|>
class Helioprojective:
"""A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Helioprojective:
"""A coordinate or frame in the Helioprojective Cartesian (HPC) system, which is observer-based. - The origin is the location of the observer. - ``Tx`` (aka "theta_x") is the angle relative to the plane containing the Sun-observer line and the Sun's rotation axis, with positive values in the ... | the_stack_v2_python_sparse | sunpy/coordinates/frames.py | sunpy/sunpy | train | 792 |
eae5b89aaecdd3407dcb2c17608d368ed60f9c95 | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('xcao19', 'xcao19')\nstations = list(repo['xcao19.policeStation'].find())\nairbnb_neighborhoods = list(repo['xcao19.neighborhoods'].find())\nprint(airbnb_neighborhoods[0])\nprint(stations[0])\njoined = []... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('xcao19', 'xcao19')
stations = list(repo['xcao19.policeStation'].find())
airbnb_neighborhoods = list(repo['xcao19.neighborhoods'].find())
p... | policeStations_in_neighborhoods | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class policeStations_in_neighborhoods:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document des... | stack_v2_sparse_classes_36k_train_012295 | 5,725 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | null | Implement the Python class `policeStations_in_neighborhoods` described below.
Class description:
Implement the policeStations_in_neighborhoods class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.mod... | Implement the Python class `policeStations_in_neighborhoods` described below.
Class description:
Implement the policeStations_in_neighborhoods class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.mod... | 90284cf3debbac36eead07b8d2339cdd191b86cf | <|skeleton|>
class policeStations_in_neighborhoods:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document des... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class policeStations_in_neighborhoods:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('xcao19', 'xcao19')
... | the_stack_v2_python_sparse | xcao19/policeStations_in_neighborhoods.py | maximega/course-2019-spr-proj | train | 2 | |
6a560d6619ffae2f01f3e92e7e7e3327dc98695c | [
"assert isinstance(filename, str), 'expecting file name string'\nassert filename, 'empty file name'\nwith open(filename) as config_file:\n for line in config_file:\n line_nocomments = re.sub(re.compile('#.*?$'), '', line.strip())\n if line_nocomments:\n name, var = line_nocomments.partit... | <|body_start_0|>
assert isinstance(filename, str), 'expecting file name string'
assert filename, 'empty file name'
with open(filename) as config_file:
for line in config_file:
line_nocomments = re.sub(re.compile('#.*?$'), '', line.strip())
if line_noco... | Class reads, writes and keeps the application parameters. | Configuration | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Configuration:
"""Class reads, writes and keeps the application parameters."""
def __init__(self, filename):
"""Constructor reads and parses configuration file of application parameters."""
<|body_0|>
def WriteParameterFile(self, filename) -> str:
"""Function wri... | stack_v2_sparse_classes_36k_train_012296 | 2,004 | no_license | [
{
"docstring": "Constructor reads and parses configuration file of application parameters.",
"name": "__init__",
"signature": "def __init__(self, filename)"
},
{
"docstring": "Function writes modified configuration parameters into a new file.",
"name": "WriteParameterFile",
"signature": ... | 3 | stack_v2_sparse_classes_30k_train_002835 | Implement the Python class `Configuration` described below.
Class description:
Class reads, writes and keeps the application parameters.
Method signatures and docstrings:
- def __init__(self, filename): Constructor reads and parses configuration file of application parameters.
- def WriteParameterFile(self, filename)... | Implement the Python class `Configuration` described below.
Class description:
Class reads, writes and keeps the application parameters.
Method signatures and docstrings:
- def __init__(self, filename): Constructor reads and parses configuration file of application parameters.
- def WriteParameterFile(self, filename)... | a080b6afc95d6f15f67a318854417fc45f187054 | <|skeleton|>
class Configuration:
"""Class reads, writes and keeps the application parameters."""
def __init__(self, filename):
"""Constructor reads and parses configuration file of application parameters."""
<|body_0|>
def WriteParameterFile(self, filename) -> str:
"""Function wri... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Configuration:
"""Class reads, writes and keeps the application parameters."""
def __init__(self, filename):
"""Constructor reads and parses configuration file of application parameters."""
assert isinstance(filename, str), 'expecting file name string'
assert filename, 'empty file... | the_stack_v2_python_sparse | python/Configuration.py | allscale/allscale_amdados | train | 0 |
969cd429a2f1ed38233465f3efcfcd2348eb8cdb | [
"logging.debug('%s', request)\npools = bot_management.get_pools_from_dimensions_flat(request.dimensions)\nrealms.check_bots_list_acl(pools)\nnow = utils.utcnow()\nq = bot_management.BotInfo.query(default_options=ndb.QueryOptions(use_cache=False))\ntry:\n q = bot_management.filter_dimensions(q, request.dimensions... | <|body_start_0|>
logging.debug('%s', request)
pools = bot_management.get_pools_from_dimensions_flat(request.dimensions)
realms.check_bots_list_acl(pools)
now = utils.utcnow()
q = bot_management.BotInfo.query(default_options=ndb.QueryOptions(use_cache=False))
try:
... | Bots-related API. | SwarmingBotsService | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SwarmingBotsService:
"""Bots-related API."""
def list(self, request):
"""Provides list of known bots. Deleted bots will not be listed."""
<|body_0|>
def count(self, request):
"""Counts number of bots with given dimensions."""
<|body_1|>
def dimension... | stack_v2_sparse_classes_36k_train_012297 | 42,982 | permissive | [
{
"docstring": "Provides list of known bots. Deleted bots will not be listed.",
"name": "list",
"signature": "def list(self, request)"
},
{
"docstring": "Counts number of bots with given dimensions.",
"name": "count",
"signature": "def count(self, request)"
},
{
"docstring": "Ret... | 3 | null | Implement the Python class `SwarmingBotsService` described below.
Class description:
Bots-related API.
Method signatures and docstrings:
- def list(self, request): Provides list of known bots. Deleted bots will not be listed.
- def count(self, request): Counts number of bots with given dimensions.
- def dimensions(se... | Implement the Python class `SwarmingBotsService` described below.
Class description:
Bots-related API.
Method signatures and docstrings:
- def list(self, request): Provides list of known bots. Deleted bots will not be listed.
- def count(self, request): Counts number of bots with given dimensions.
- def dimensions(se... | 10cc5fdcca53e2a1690867acbe6fce099273f092 | <|skeleton|>
class SwarmingBotsService:
"""Bots-related API."""
def list(self, request):
"""Provides list of known bots. Deleted bots will not be listed."""
<|body_0|>
def count(self, request):
"""Counts number of bots with given dimensions."""
<|body_1|>
def dimension... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SwarmingBotsService:
"""Bots-related API."""
def list(self, request):
"""Provides list of known bots. Deleted bots will not be listed."""
logging.debug('%s', request)
pools = bot_management.get_pools_from_dimensions_flat(request.dimensions)
realms.check_bots_list_acl(pools... | the_stack_v2_python_sparse | appengine/swarming/handlers_endpoints.py | luci/luci-py | train | 84 |
b22618703aba4b31e3d62597b3628b4c49479e23 | [
"pg.ModellingBase.__init__(self, verbose)\nself.f_ = fvec\nself.nf_ = len(fvec)\nself.t_ = tvec\nself.mesh = pg.createMesh1D(len(tvec))\nself.setMesh(self.mesh)",
"y = np.ones(self.nf_, dtype=np.complex)\nfor tau, mk in zip(self.t_, par):\n y -= (1.0 - relaxationTerm(self.f_, tau)) * mk\nreturn -np.angle(y)"
] | <|body_start_0|>
pg.ModellingBase.__init__(self, verbose)
self.f_ = fvec
self.nf_ = len(fvec)
self.t_ = tvec
self.mesh = pg.createMesh1D(len(tvec))
self.setMesh(self.mesh)
<|end_body_0|>
<|body_start_1|>
y = np.ones(self.nf_, dtype=np.complex)
for tau, mk... | Debye decomposition (smooth Debye relaxations) phase only | DebyePhi | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DebyePhi:
"""Debye decomposition (smooth Debye relaxations) phase only"""
def __init__(self, fvec, tvec, verbose=False):
"""constructor with frequecy and tau vector"""
<|body_0|>
def response(self, par):
"""amplitude/phase spectra as function of spectral chargeab... | stack_v2_sparse_classes_36k_train_012298 | 11,407 | permissive | [
{
"docstring": "constructor with frequecy and tau vector",
"name": "__init__",
"signature": "def __init__(self, fvec, tvec, verbose=False)"
},
{
"docstring": "amplitude/phase spectra as function of spectral chargeabilities",
"name": "response",
"signature": "def response(self, par)"
}
... | 2 | stack_v2_sparse_classes_30k_train_000918 | Implement the Python class `DebyePhi` described below.
Class description:
Debye decomposition (smooth Debye relaxations) phase only
Method signatures and docstrings:
- def __init__(self, fvec, tvec, verbose=False): constructor with frequecy and tau vector
- def response(self, par): amplitude/phase spectra as function... | Implement the Python class `DebyePhi` described below.
Class description:
Debye decomposition (smooth Debye relaxations) phase only
Method signatures and docstrings:
- def __init__(self, fvec, tvec, verbose=False): constructor with frequecy and tau vector
- def response(self, par): amplitude/phase spectra as function... | 9962fe882fad284e52858ba3aa5e87b2395d791d | <|skeleton|>
class DebyePhi:
"""Debye decomposition (smooth Debye relaxations) phase only"""
def __init__(self, fvec, tvec, verbose=False):
"""constructor with frequecy and tau vector"""
<|body_0|>
def response(self, par):
"""amplitude/phase spectra as function of spectral chargeab... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DebyePhi:
"""Debye decomposition (smooth Debye relaxations) phase only"""
def __init__(self, fvec, tvec, verbose=False):
"""constructor with frequecy and tau vector"""
pg.ModellingBase.__init__(self, verbose)
self.f_ = fvec
self.nf_ = len(fvec)
self.t_ = tvec
... | the_stack_v2_python_sparse | python/pygimli/physics/SIP/models.py | Geophysics-OpenSource/gimli | train | 0 |
66f4852fd4f4ffadd33f36f25760bfa23338c89c | [
"sketch = Sketch.query.get_with_acl(sketch_id)\nif not sketch:\n abort(HTTP_STATUS_CODE_NOT_FOUND, 'No sketch found with this ID')\nquestion = InvestigativeQuestion.query.get(question_id)\nif not question:\n abort(HTTP_STATUS_CODE_NOT_FOUND, 'No question found with this ID')\nconclusion = InvestigativeQuestio... | <|body_start_0|>
sketch = Sketch.query.get_with_acl(sketch_id)
if not sketch:
abort(HTTP_STATUS_CODE_NOT_FOUND, 'No sketch found with this ID')
question = InvestigativeQuestion.query.get(question_id)
if not question:
abort(HTTP_STATUS_CODE_NOT_FOUND, 'No question ... | Resource for investigative question conclusion. | QuestionConclusionResource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuestionConclusionResource:
"""Resource for investigative question conclusion."""
def put(self, sketch_id, question_id, conclusion_id):
"""Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion."""
<|body_0|>
def delete(s... | stack_v2_sparse_classes_36k_train_012299 | 15,391 | permissive | [
{
"docstring": "Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion.",
"name": "put",
"signature": "def put(self, sketch_id, question_id, conclusion_id)"
},
{
"docstring": "Handles DELETE request to the resource. Deletes a conclusion.",
"n... | 2 | stack_v2_sparse_classes_30k_train_016361 | Implement the Python class `QuestionConclusionResource` described below.
Class description:
Resource for investigative question conclusion.
Method signatures and docstrings:
- def put(self, sketch_id, question_id, conclusion_id): Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation o... | Implement the Python class `QuestionConclusionResource` described below.
Class description:
Resource for investigative question conclusion.
Method signatures and docstrings:
- def put(self, sketch_id, question_id, conclusion_id): Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation o... | 24f471b58ca4a87cb053961b5f05c07a544ca7b8 | <|skeleton|>
class QuestionConclusionResource:
"""Resource for investigative question conclusion."""
def put(self, sketch_id, question_id, conclusion_id):
"""Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion."""
<|body_0|>
def delete(s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QuestionConclusionResource:
"""Resource for investigative question conclusion."""
def put(self, sketch_id, question_id, conclusion_id):
"""Handles PUT request to the resource. Edit a conclusion. Returns: A JSON representation of the conclusion."""
sketch = Sketch.query.get_with_acl(sketch... | the_stack_v2_python_sparse | timesketch/api/v1/resources/scenarios.py | google/timesketch | train | 2,263 |
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