code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
|---|---|---|
class User(UserMixin, db.Model): <NEW_LINE> <INDENT> __tablename__ = 'users' <NEW_LINE> id = db.Column(db.Integer, primary_key=True) <NEW_LINE> username = db.Column(db.String(64), index=True, unique=True) <NEW_LINE> password_hash = db.Column(db.String(128)) <NEW_LINE> email = db.Column(db.String(64), index=True, unique... | Users table scheme. | 62598eeb4428ac0f6e656c8d |
class returns_sequence(returns_result_type): <NEW_LINE> <INDENT> def process(self, sequence): <NEW_LINE> <INDENT> super_process = super(returns_sequence, self).process <NEW_LINE> for obj in sequence: <NEW_LINE> <INDENT> for pair in super_process(obj): <NEW_LINE> <INDENT> yield pair | Declaration that indicates a callable's returns a sequence of values
that should be used as a resources based on the type of the object returned.
Any ``None`` values in the sequence are ignored. | 62598eeb2eb69b55b15a0727 |
class TagCreate(generics.CreateAPIView): <NEW_LINE> <INDENT> queryset = Tag.objects.all() <NEW_LINE> serializer_class = TagSerializer | POST Добавить тэг к объявлениям
JSON
{
"title": "",
"advert": [advert_id, advert_id, ]
} | 62598eebd7e4931a7ef3a7d8 |
class TornadoScheduler(BaseScheduler): <NEW_LINE> <INDENT> _ioloop = None <NEW_LINE> _timeout = None <NEW_LINE> @run_in_ioloop <NEW_LINE> def shutdown(self, wait=True): <NEW_LINE> <INDENT> super().shutdown(wait) <NEW_LINE> self._stop_timer() <NEW_LINE> <DEDENT> def _configure(self, config): <NEW_LINE> <INDENT> self._io... | A scheduler that runs on a Tornado IOLoop.
The default executor can run jobs based on native coroutines (``async def``).
=========== ===============================================================
``io_loop`` Tornado IOLoop instance to use (defaults to the global IO loop)
=========== =================================... | 62598eeb498bea3a75a5626b |
class PublicPasswordBackend(object): <NEW_LINE> <INDENT> def authenticate(self, request=None): <NEW_LINE> <INDENT> if request is None: <NEW_LINE> <INDENT> return None <NEW_LINE> <DEDENT> form = PublicPasswordGrantForm(request.POST) <NEW_LINE> if form.is_valid(): <NEW_LINE> <INDENT> return form.cleaned_data.get('client'... | Simple client authentication wrapper backends that delegates to
`oauth2_provider.forms.PublicPasswordGrantForm` | 62598eebf9cc0f698b1c466b |
class EAT_XML_Reader: <NEW_LINE> <INDENT> def __init__(self, xml_loc): <NEW_LINE> <INDENT> self.root = ET.parse(xml_loc).getroot() <NEW_LINE> <DEDENT> def get_all_associations(self): <NEW_LINE> <INDENT> associations=[] <NEW_LINE> for stimulus_element in self.root: <NEW_LINE> <INDENT> stimuli = stimulus_element.attrib["... | This class contians functions for reading and using Edinburgh Associative
Thesaurus in its XML format, as found at
http://rali.iro.umontreal.ca/rali/?q=en/Textual%20Resources/EAT | 62598eebbe8e80087fbbd78a |
class RommonC9400(RommonGen3): <NEW_LINE> <INDENT> def __init__(self, mode_mgr, ud, **kwargs): <NEW_LINE> <INDENT> super(RommonC9400, self).__init__(mode_mgr, ud, **kwargs) <NEW_LINE> return <NEW_LINE> <DEDENT> def upgrade(self, image, **kwargs): <NEW_LINE> <INDENT> if image == 'LINUX_BATCH': <NEW_LINE> <INDENT> log.in... | C9400 Rommon Driver
This class is product family specific.
Families included: Macallen | 62598eeb097d151d1a2bf757 |
class Activity(GenericContent): <NEW_LINE> <INDENT> user = models.ForeignKey(User) <NEW_LINE> activity_type = models.SmallIntegerField(choices=TYPE_ACTIVITY) <NEW_LINE> active_at = models.DateTimeField(default=datetime.datetime.now) <NEW_LINE> is_auditted = models.BooleanField(default=False) <NEW_LINE> class Meta: <... | We keep some history data for user activities | 62598eeb2c8b7c6e89bd1efc |
class Alien(Sprite): <NEW_LINE> <INDENT> def __init__(self, ai_settings, screen): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.screen = screen <NEW_LINE> self.ai_settings = ai_settings <NEW_LINE> self.image = pygame.image.load('images/alien.bmp') <NEW_LINE> self.rect = self.image.get_rect() <NEW_LINE> self.re... | A class to represent a single align in the fleet. | 62598eeb66673b3332c2eae3 |
class TestInstrument(unittest.TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def tearDown(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def testInstrument(self): <NEW_LINE> <INDENT> pass | Instrument unit test stubs | 62598eeb4e4d562566370b54 |
class DungeonList(DungeonBase): <NEW_LINE> <INDENT> def __init__(self, controller): <NEW_LINE> <INDENT> self._controller = controller <NEW_LINE> <DEDENT> def on_get(self, req, resp): <NEW_LINE> <INDENT> dungeons = self._controller.list_dungeons() <NEW_LINE> resource = { 'dungeons': [self._entity_to_resource(d) for d in... | Resource class for the dungeon list concept. | 62598eeb32920d7e50bc4766 |
class LogarithmicMapping(KeyMapping): <NEW_LINE> <INDENT> def __init__(self, relative_accuracy, offset=0.0): <NEW_LINE> <INDENT> super(LogarithmicMapping, self).__init__(relative_accuracy, offset=offset) <NEW_LINE> self._multiplier *= math.log(2) <NEW_LINE> <DEDENT> def _log_gamma(self, value): <NEW_LINE> <INDENT> retu... | A memory-optimal KeyMapping, i.e., given a targeted relative accuracy, it
requires the least number of keys to cover a given range of values. This is
done by logarithmically mapping floating-point values to integers. | 62598eeb627d3e7fe0e055c5 |
class NamesTestCase(unittest.TestCase): <NEW_LINE> <INDENT> def test_first_last_name(self): <NEW_LINE> <INDENT> formatted_name = get_formatted_name('janis', 'joplin') <NEW_LINE> self.assertEqual(formatted_name, 'Janis Joplin') <NEW_LINE> <DEDENT> def test_first_middle_last(self): <NEW_LINE> <INDENT> formatted_name = ge... | Tests for 'name_function.py'. | 62598eebbd1bec0571e14467 |
class ForumSource(MessageSource): <NEW_LINE> <INDENT> source_id = models.IntegerField() <NEW_LINE> forumsource_type = models.CharField( max_length=2, choices=FORUMSOURCE_TYPE_CHOICES, default=FORUMSOURCE_TYPE_FORUM_TOPICS, ) <NEW_LINE> polling_interval = models.IntegerField( default=10, help_text="Polling interval in m... | A forum post from a specific JudgeApps forum. | 62598eebbe7bc26dc9251200 |
class RetrievePeopleSchemaTests(TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> from ..schema import RetrievePeopleSchema <NEW_LINE> self.schema = RetrievePeopleSchema() <NEW_LINE> self.seq_fields = [ 'cast_credit',] <NEW_LINE> <DEDENT> @attr('onhold') <NEW_LINE> def test_credits_cast_string_list_wi... | Unit tests for :class:`RetrievePeopleSchema`. | 62598eeb5fdd1c0f98e5c6dd |
class MoveAntiCaptureExecutor(MoveExecutor): <NEW_LINE> <INDENT> def exec(self, move, movepiece, addpiece, removepiece): <NEW_LINE> <INDENT> movepiece(move.fromsq, move.tosq) <NEW_LINE> addpiece(move.addpiece, move.addpos) | Desfaz movimentos em que há captura, mas não há promoção | 62598eeb01c39578d7f114e5 |
class Experiment(ConfigExperiment): <NEW_LINE> <INDENT> def _postprocess_model_for_stage(self, stage: str, model: nn.Module): <NEW_LINE> <INDENT> model = ( model.module if isinstance(model, torch.nn.DataParallel) else model ) <NEW_LINE> if stage in ["debug", "stage1"]: <NEW_LINE> <INDENT> for param in model.encoder.par... | Segmentation experiment. | 62598eeb7047854f4633db0e |
class history(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self._stack = [] <NEW_LINE> self._pointer = 0 <NEW_LINE> self._pending = None <NEW_LINE> <DEDENT> def remember(self, pending): <NEW_LINE> <INDENT> self._stack.append(copy.deepcopy(pending)) <NEW_LINE> self._pointer = len(self._stack) <NE... | Remembers the commands which were executed and allows navigate in that list.
:author: Alexander Berezhnoy (alexander.berezhnoy |at| gmail.com) | 62598eeb6e29344779afed70 |
class Command(BaseCommand): <NEW_LINE> <INDENT> help = 'Add development datas in your database.' <NEW_LINE> def handle(self, *args, **options): <NEW_LINE> <INDENT> self.create_superuser() <NEW_LINE> <DEDENT> def create_superuser(self): <NEW_LINE> <INDENT> logger = logging.getLogger('base') <NEW_LINE> admin_context = ('... | Command class. | 62598eeb32920d7e50bc4767 |
class FactorKLoss(BaseLoss): <NEW_LINE> <INDENT> def __init__(self, device, gamma=10., disc_kwargs={}, optim_kwargs=dict(lr=5e-5, betas=(0.5, 0.9)), **kwargs): <NEW_LINE> <INDENT> super().__init__(**kwargs) <NEW_LINE> self.gamma = gamma <NEW_LINE> self.device = device <NEW_LINE> self.discriminator = Discriminator(**dis... | Compute the Factor-VAE loss as per Algorithm 2 of [1]
Parameters
----------
device : torch.device
gamma : float, optional
Weight of the TC loss term. `gamma` in the paper.
discriminator : disvae.discriminator.Discriminator
optimizer_d : torch.optim
kwargs:
Additional arguments for `BaseLoss`, e.g. rec_dist... | 62598eebfff4ab517ebcbf13 |
class URIValue(Value): <NEW_LINE> <INDENT> _type = Value.URI <NEW_LINE> _uri = Value._value <NEW_LINE> def __str__(self): <NEW_LINE> <INDENT> return "<cssutils.css.%s object type=%s value=%r uri=%r cssText=%r at 0x%x>" % (self.__class__.__name__, self.type, self.value, self.uri, self.cssText, id(self)) <N... | An URI value like ``url(example.png)``. | 62598eebd6c5a102081e086c |
class GeneralizedRCNNAssembler(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def post_processing(self, batched_inputs, results, image_sizes): <NEW_LINE> <INDENT> processed_results = [] <NEW_LINE> for results_per_image, input_per_image, image_size in zip( results, batched_... | A class whose instance can assemble caffe2 model's outputs | 62598eeba8ecb0332586f925 |
class RedditListingWrapper: <NEW_LINE> <INDENT> def __init__(self, path, api_url): <NEW_LINE> <INDENT> self.path = Collect(path) <NEW_LINE> self.url = api_url <NEW_LINE> self.listing = _reddit.get(api_url) <NEW_LINE> self.posts = _randomized(list(self.listing)) <NEW_LINE> self.existing_paths = {} <NEW_LINE> <DEDENT> de... | Wrapper for Reddit listing generators to facilitate image downloading
and handling certain behaviors. | 62598eeb4f88993c371ef885 |
class NoPluginNameDefined(SimplugException): <NEW_LINE> <INDENT> pass | When the name of the plugin cannot be found | 62598eeba79ad16197768759 |
class Division(ML_ArithmeticOperation): <NEW_LINE> <INDENT> arity = 2 <NEW_LINE> def bare_range_function(self, ops): <NEW_LINE> <INDENT> return safe(operator.__truediv__)(ops[0], ops[1]) | abstract addition | 62598eeb7d847024c075ab09 |
class Log(): <NEW_LINE> <INDENT> def __init__(self, app): <NEW_LINE> <INDENT> datadir = os.path.join(get_user_data_dir(), "vimiv") <NEW_LINE> os.makedirs(datadir, exist_ok=True) <NEW_LINE> self._filename = os.path.join(datadir, "vimiv.log") <NEW_LINE> self._terminal = sys.stderr <NEW_LINE> if app.debug: <NEW_LINE> <IND... | Log file handler.
Attributes:
_filename: Name of the log file.
_terminal: sys.stderr to interact with | 62598eeb4c34283577618a20 |
class GooglePrivacyDlpV2beta1KMapEstimationHistogramBucket(_messages.Message): <NEW_LINE> <INDENT> bucketSize = _messages.IntegerField(1) <NEW_LINE> bucketValues = _messages.MessageField('GooglePrivacyDlpV2beta1KMapEstimationQuasiIdValues', 2, repeated=True) <NEW_LINE> maxAnonymity = _messages.IntegerField(3) <NEW_LINE... | A KMapEstimationHistogramBucket message with the following values:
min_anonymity: 3 max_anonymity: 5 frequency: 42 means that there are 42
records whose quasi-identifier values correspond to 3, 4 or 5 people in the
overlying population. An important particular case is when min_anonymity =
max_anonymity = 1: the fre... | 62598eeb56ac1b37e630092a |
class PppdError(Error): <NEW_LINE> <INDENT> pass | PPPD fork-exec exception. | 62598eeb67a9b606de54470b |
class InputLayer(Layer): <NEW_LINE> <INDENT> def __init__(self, shape, input_var=None, name=None, **kwargs): <NEW_LINE> <INDENT> self.shape = shape <NEW_LINE> ndim = len(shape) <NEW_LINE> if input_var is None: <NEW_LINE> <INDENT> input_var_type = T.TensorType(theano.config.floatX, [False] * ndim) <NEW_LINE> var_name = ... | This layer holds a symbolic variable that represents a network input. A
variable can be specified when the layer is instantiated, else it is
created.
:parameters:
- shape : tuple of int
The shape of the input
- input_var : Theano symbolic variable or None (default: None)
A variable representin... | 62598eebcc40096d61619576 |
class AiAnalysisTaskFrameTagResult(AbstractModel): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.Status = None <NEW_LINE> self.ErrCodeExt = None <NEW_LINE> self.ErrCode = None <NEW_LINE> self.Message = None <NEW_LINE> self.Input = None <NEW_LINE> self.Output = None <NEW_LINE> <DEDENT> def _deserializ... | 智能按帧标签结果类型
| 62598eeb32920d7e50bc4768 |
class ShellySleepingSensor(ShellySleepingBlockAttributeEntity, SensorEntity): <NEW_LINE> <INDENT> @property <NEW_LINE> def native_value(self) -> StateType: <NEW_LINE> <INDENT> if self.block is not None: <NEW_LINE> <INDENT> return self.attribute_value <NEW_LINE> <DEDENT> return self.last_state <NEW_LINE> <DEDENT> @prope... | Represent a shelly sleeping sensor. | 62598eeb57b8e32f525074a3 |
class Engine(threading.Thread): <NEW_LINE> <INDENT> def __init__(self, zc): <NEW_LINE> <INDENT> threading.Thread.__init__(self) <NEW_LINE> self.zc = zc <NEW_LINE> self.readers = {} <NEW_LINE> self.timeout = 5 <NEW_LINE> self.condition = threading.Condition() <NEW_LINE> self.start() <NEW_LINE> <DEDENT> def run(self): <N... | An engine wraps read access to sockets, allowing objects that
need to receive data from sockets to be called back when the
sockets are ready.
A reader needs a handle_read() method, which is called when the socket
it is interested in is ready for reading.
Writers are not implemented here, because we only send short
pa... | 62598eeb66656f66f7d58b1e |
class SquadsTournament(Object): <NEW_LINE> <INDENT> _type: str = "SquadsTournament" <NEW_LINE> def __init__(self, client, data: dict): <NEW_LINE> <INDENT> super().__init__(client) <NEW_LINE> self.id: int = data.pop("id") <NEW_LINE> self.name: Optional[str] = data.pop("name") <NEW_LINE> self.description: Optional[str] =... | Represents a Call of Duty Squads Tournament object.
Parameters
---------- | 62598eeb2ae34c7f260a9824 |
class MissingKing(NotAValidPosition): <NEW_LINE> <INDENT> pass | raised when some King is missing on board | 62598eeb01c39578d7f114e7 |
class ReComment(models.Model): <NEW_LINE> <INDENT> name = models.CharField('名前', max_length=255, default='名無し') <NEW_LINE> text = models.TextField('コメント') <NEW_LINE> icon = models.ImageField( 'サムネイル', upload_to='com_icon/', blank=True, null=True) <NEW_LINE> target = models.ForeignKey( Comment, on_delete=models.CASCADE,... | 返信コメント. | 62598eebd486a94d0ba2a70a |
class BaseRequestHandler(webapp.RequestHandler): <NEW_LINE> <INDENT> def send_form(self, title, action, contactId, handle, content_obj): <NEW_LINE> <INDENT> if (contactId >= 0): <NEW_LINE> <INDENT> idInfo = '<input type="hidden" name="_id" value="%s">' <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> idInfo = '' <NEW_LINE... | Base class for our page-based request handlers that contains
some helper functions we use in most pages. | 62598eebadb09d7d5dc08d05 |
class CachedRateLimit(TweepError): <NEW_LINE> <INDENT> def __init__(self, reason): <NEW_LINE> <INDENT> super(CachedRateLimit, self).__init__(reason) | Still in rate limit exception | 62598eebbe7bc26dc9251201 |
class NSNitroNserrGslbIpv4Backupip(NSNitroGslbErrors): <NEW_LINE> <INDENT> pass | Nitro error code 1957
IPv6 service binding is not allowed along with IPv4 backup IP. | 62598eeb167d2b6e312b56d6 |
class AjaxMultiFormMixin(MessageMixin, AjaxDataMixin): <NEW_LINE> <INDENT> def form_valid(self, form): <NEW_LINE> <INDENT> response = super(AjaxMultiFormMixin, self).form_valid(form) <NEW_LINE> object_dict = self.object <NEW_LINE> objects = {} <NEW_LINE> if self.request.is_ajax(): <NEW_LINE> <INDENT> for name, obj in o... | Ajax mixin for MultiModelForm from django-betterforms | 62598eeb30bbd72246468371 |
class Commit(models.Model): <NEW_LINE> <INDENT> repository = models.ForeignKey(Repository) <NEW_LINE> hash = models.CharField(max_length=40) <NEW_LINE> previous_commit_left = models.ForeignKey("Commit", null=True, blank=True, related_name="_next_left_set") <NEW_LINE> previous_commit_right = models.ForeignKey("Commit", ... | Represents a single commit. previous_commit_left is the last commit in this branch, previous_commit_right is the
merged commit from a merge commit, if it exists. | 62598eebd6c5a102081e086e |
class PRISMExperiment(PRISMParams, PModelCheckerExperiment): <NEW_LINE> <INDENT> def __handler_default(self): <NEW_LINE> <INDENT> return PRISMExperimentHandler(model=self) <NEW_LINE> <DEDENT> _current_property = Str <NEW_LINE> _max_properties = Int(1) <NEW_LINE> _property_index = Int(0) <NEW_LINE> _stdout_pattern_list ... | TODO | 62598eeb5fc7496912d47611 |
class name_Word: <NEW_LINE> <INDENT> def __init__(self,word, cnt): <NEW_LINE> <INDENT> self.lpt = None <NEW_LINE> self.ept = None <NEW_LINE> self.gpt = None <NEW_LINE> self.clpt=None <NEW_LINE> self.cgpt=None <NEW_LINE> self.word = word <NEW_LINE> self.count = cnt <NEW_LINE> self.sum=0 | Contains the information for a phrase starting with a word | 62598eeb4527f215b58e863c |
class RegenerationProposer(LOTProposer): <NEW_LINE> <INDENT> def propose_tree(self, t, resampleProbability=lambdaOne): <NEW_LINE> <INDENT> newt = copy(t) <NEW_LINE> try: <NEW_LINE> <INDENT> n, lp = newt.sample_subnode(resampleProbability=resampleProbability) <NEW_LINE> <DEDENT> except NodeSamplingException: <NEW_LINE> ... | Propose to a tree by sampling a node at random and regenerating | 62598eeb8da39b475be018ea |
class tm_get_ingress_port_drop_limit_result: <NEW_LINE> <INDENT> thrift_spec = ( (0, TType.I32, 'success', None, None, ), (1, TType.STRUCT, 'ouch', (InvalidTmOperation, InvalidTmOperation.thrift_spec), None, ), ) <NEW_LINE> def __init__(self, success=None, ouch=None,): <NEW_LINE> <INDENT> self.success = success <NEW_LI... | Attributes:
- success
- ouch | 62598eeb442bda511e95aba0 |
class CsoundScoreLexer(CsoundLexer): <NEW_LINE> <INDENT> name = 'Csound Score' <NEW_LINE> aliases = ['csound-score', 'csound-sco'] <NEW_LINE> filenames = ['*.sco'] <NEW_LINE> tokens = { 'root': [ (r'\n', Whitespace), include('whitespace and macro uses'), include('preprocessor directives'), (r'[aBbCdefiqstvxy]', Keyword... | For `Csound <https://csound.com>`_ scores.
.. versionadded:: 2.1 | 62598eeb71ff763f4b5e5e9b |
class DslNameError(DslSyntaxError): <NEW_LINE> <INDENT> pass | Exception class for undefined names. | 62598eeb2c8b7c6e89bd1eff |
class PythonzEmailMessage(EmailHtmlMessage): <NEW_LINE> <INDENT> alias = 'simple' <NEW_LINE> priority = 1 <NEW_LINE> send_retry_limit = 4 <NEW_LINE> def __init__(self, subject, html_or_dict, template_path=None): <NEW_LINE> <INDENT> if not isinstance(html_or_dict, dict): <NEW_LINE> <INDENT> html_or_dict = {'text': html_... | Базовый класс для сообщений, рассылаемых pythonz по электронной почте.
Этот же класс используется для рассылки писем от sitegate, | 62598eeb009cb60464cffc8c |
class se2_from_SE2_seq(Block): <NEW_LINE> <INDENT> Block.alias('se2_from_SE2_seq') <NEW_LINE> Block.input('pose', 'Pose as an element of SE2', dtype=SE2) <NEW_LINE> Block.output('velocity', 'Velocity as an element of se(2).', dtype=np.dtype(('float', (3, 3)))) <NEW_LINE> def init(self): <NEW_LINE> <INDENT> self.state.p... | Computes velocity in se2 given poses in SE2. | 62598eeb38b623060ffa77d9 |
class While(Instruction): <NEW_LINE> <INDENT> def __init__(self, b, c): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.b = b <NEW_LINE> self.c = c | While : while b do c
b is a boolean expression
c is an instruction | 62598eebe5267d203ee6a045 |
class TestPluginRetrievalManually(unittest.TestCase): <NEW_LINE> <INDENT> def test_empty_type(self): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> list(NoPluginsPluginBase.getderived()) <NEW_LINE> <DEDENT> except TypeError: <NEW_LINE> <INDENT> self.fail() <NEW_LINE> <DEDENT> <DEDENT> def test_empty_elements(self): <NEW_... | Manual tests for ``sortableclasses.getderived()``. | 62598eebe1aae11d1e7cdbde |
class Pipe: <NEW_LINE> <INDENT> def __init__(self, throughput: float): <NEW_LINE> <INDENT> assert throughput > 0, 'throughput must be positive' <NEW_LINE> self.throughput = throughput <NEW_LINE> self._congested = Notification() <NEW_LINE> self._throughput_scale = 1.0 <NEW_LINE> self._subscriptions: Dict[object, float] ... | Shared transport for resources with a limited total throughput
:param throughput: limit of total throughput
The throughput limit of a pipe is defined when a :py:class:`Pipe`
is created.
Afterwards, :term:`activities <activity>` may temporarily request transfers
through the :py:class:`Pipe` with a maximum throughput.
... | 62598eebd268445f26638f2d |
class MetaException(Exception): <NEW_LINE> <INDENT> pass | Base class for all exceptions thrown by the xtuml.meta module. | 62598eeb66673b3332c2eae7 |
class MetaSignals(type): <NEW_LINE> <INDENT> def __init__(cls, name, bases, d): <NEW_LINE> <INDENT> signals = d.get("signals", []) <NEW_LINE> for superclass in cls.__bases__: <NEW_LINE> <INDENT> signals.extend(getattr(superclass, 'signals', [])) <NEW_LINE> <DEDENT> signals = dict([(x,None) for x in signals]).keys() <NE... | register the list of signals in the class varable signals,
including signals in superclasses. | 62598eeb8a43f66fc4bf08b2 |
class TestNDEnumerate(MpiTestCase): <NEW_LINE> <INDENT> def test_ndenumerate(self): <NEW_LINE> <INDENT> d = Distribution.from_shape((16, 16, 2), dist=('c', 'b', 'n'), comm=self.comm) <NEW_LINE> a = LocalArray(d) <NEW_LINE> for global_inds, value in ndenumerate(a): <NEW_LINE> <INDENT> a.global_index[global_inds] = 0.0 | Make sure we generate indices compatible with __getitem__. | 62598eeb097d151d1a2bf75b |
class ExternalProgramTask(luigi.Task): <NEW_LINE> <INDENT> def program_args(self): <NEW_LINE> <INDENT> raise NotImplementedError <NEW_LINE> <DEDENT> def program_environment(self): <NEW_LINE> <INDENT> env = os.environ.copy() <NEW_LINE> return env <NEW_LINE> <DEDENT> @property <NEW_LINE> def always_log_stderr(self): <NEW... | Template task for running an external program in a subprocess
The program is run using :py:class:`subprocess.Popen`, with ``args`` passed
as a list, generated by :py:meth:`program_args` (where the first element should
be the executable). See :py:class:`subprocess.Popen` for details.
Your must override :py:meth:`progr... | 62598eeb4a966d76dd5ed620 |
class ValueIterationAgent(ValueEstimationAgent): <NEW_LINE> <INDENT> def __init__(self, mdp, discount = 0.9, iterations = 100): <NEW_LINE> <INDENT> self.mdp = mdp <NEW_LINE> self.discount = discount <NEW_LINE> self.iterations = iterations <NEW_LINE> self.values = util.Counter() <NEW_LINE> self.runValueIteration() <NEW_... | * Please read learningAgents.py before reading this.*
A ValueIterationAgent takes a Markov decision process
(see mdp.py) on initialization and runs value iteration
for a given number of iterations using the supplied
discount factor. | 62598eeb627d3e7fe0e055c9 |
class Resize(object): <NEW_LINE> <INDENT> def __init__(self, output_size): <NEW_LINE> <INDENT> assert isinstance(output_size, (int, tuple)) <NEW_LINE> self.output_size = output_size <NEW_LINE> <DEDENT> def __call__(self, sample): <NEW_LINE> <INDENT> image, label = sample['image'], sample['label'] <NEW_LINE> h, w = imag... | Resize the image in a sample to a given size.
Args:
output_size (tuple or int): Desired output size. If tuple, output is
matched to output_size. If int, smaller of image edges is matched
to output_size keeping aspect ratio the same. | 62598eebbd1bec0571e14469 |
class TestRenderReadPixels(unittest.TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> self.sf = SDL_CreateRGBSurface(0, 32, 32, 32, 0, 0, 0, 0) <NEW_LINE> self.rdr = SDL_CreateSoftwareRenderer(self.sf) <NEW_LINE> self.fm = SDL_PIXELFORMAT_RGB332 <NEW_LINE> self.rect = SDL_Rect(0, 0, 32, 32) <NEW_LINE>... | Tests SDL_RenderReadPixels() | 62598eebbe8e80087fbbd78e |
class ApiError(HtbException): <NEW_LINE> <INDENT> pass | The API responded in an unexpected way | 62598eebdd821e528d6d7683 |
class DysonNotLoggedException(DysonException): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super(DysonNotLoggedException, self).__init__() | Not logged to Dyson Web Services Exception. | 62598eebd486a94d0ba2a70c |
class ModelSchema(with_metaclass(ModelSchemaMeta, ma.Schema)): <NEW_LINE> <INDENT> OPTIONS_CLASS = ModelSchemaOpts <NEW_LINE> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> session = kwargs.pop('session', None) <NEW_LINE> self.instance = kwargs.pop('instance', None) <NEW_LINE> super(ModelSchema, self).__init_... | Base class for SQLAlchemy model-based Schemas.
Example: ::
from marshmallow_sqlalchemy import ModelSchema
from mymodels import User, session
class UserSchema(ModelSchema):
class Meta:
model = User
schema = UserSchema()
user = schema.load({'name': 'Bill'}, session=session)
... | 62598eeb3d592f4c4edb9636 |
class CopyPipe(object): <NEW_LINE> <INDENT> def __init__(self, dstcurs, tablename = None, limit = 512*1024, cancel_func=None, sql_from = None): <NEW_LINE> <INDENT> self.tablename = tablename <NEW_LINE> self.sql_from = sql_from <NEW_LINE> self.dstcurs = dstcurs <NEW_LINE> self.buf = StringIO() <NEW_LINE> self.limit = li... | Splits one big COPY to chunks. | 62598eebdd821e528d6d7684 |
class Dog(): <NEW_LINE> <INDENT> def __init__(self,name,age): <NEW_LINE> <INDENT> self.name=name <NEW_LINE> self.age=age <NEW_LINE> <DEDENT> def update_age(self,age1): <NEW_LINE> <INDENT> self.age=age1 <NEW_LINE> <DEDENT> def sit(self): <NEW_LINE> <INDENT> print(self.name.title()+' is now sitting!') <NEW_LINE> <DEDENT>... | 一次模拟小狗的简单尝试 | 62598eeb32920d7e50bc476b |
class ScenarioMixin(object): <NEW_LINE> <INDENT> DATASET_ID = uuid4() <NEW_LINE> NODE = u"192.0.2.1" <NEW_LINE> NODE_UUID = uuid4() <NEW_LINE> MANIFESTATION = Manifestation( dataset=Dataset( dataset_id=unicode(DATASET_ID), maximum_size=REALISTIC_BLOCKDEVICE_SIZE, ), primary=True, ) <NEW_LINE> ONE_DATASET_STATE = NodeSt... | A mixin for tests which defines some basic Flocker cluster state. | 62598eebcad5886f8bdc3a41 |
class ConstraintViolation(ValueError): <NEW_LINE> <INDENT> pass | Raised on an attempt to merge a unique path onto a non-unique path.
| 62598eeb4e4d562566370b59 |
class RunProcessing(object): <NEW_LINE> <INDENT> def __init__(self, task, results): <NEW_LINE> <INDENT> self.task = task <NEW_LINE> self.analysis_path = os.path.join(CUCKOO_ROOT, "storage", "analyses", str(task["id"])) <NEW_LINE> self.cfg = Config("processing") <NEW_LINE> self.results = results <NEW_LINE> <DEDENT> def ... | Analysis Results Processing Engine.
This class handles the loading and execution of the processing modules.
It executes the enabled ones sequentially and generates a dictionary which
is then passed over the reporting engine. | 62598eebcc0a2c1114479743 |
class UL(DIV): <NEW_LINE> <INDENT> tag = 'ul' <NEW_LINE> def _fixup(self): <NEW_LINE> <INDENT> self._wrap_components(LI, LI) | UL Component.
If subcomponents are not LI-components they will be wrapped in a LI | 62598eeb63b5f9789fe8389c |
class CondaPackage(CondaObjectDescription): <NEW_LINE> <INDENT> typename = "package" <NEW_LINE> doc_field_types = [ RequiredByField('requirements', names=('requirements',), label=u'Required\u00a0By', has_arg=False), RequirementsField('depends', names=('depends', 'dependencies', 'deps'), label="Depends", rolename='depen... | Directive ``.. conda:package::`` describing a Package
This directive takes two specialized field types, ``requirements``
and ``depends``:
.. code:: rst
.. conda:package:: mypkg1
:depends mypkg2: 2.0
:depends mypkg3:
:requirements:
``:depends pkgname: [version]``
Adds a dependency to the... | 62598eeb30bbd72246468373 |
class AbstractGetRunner(FormattedOutputRunner): <NEW_LINE> <INDENT> def __init__(self, args): <NEW_LINE> <INDENT> super(AbstractGetRunner, self).__init__(args) <NEW_LINE> self._id = args.id <NEW_LINE> self._httpClient = client.HttpClient( args.baseUrl, verbosityToLogLevel(args.verbose), self._key) <NEW_LINE> <DEDENT> d... | Abstract base class for get runner classes | 62598eeb5fcc89381b2654c6 |
class Ball: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.x = 0 <NEW_LINE> self.y = 0 <NEW_LINE> self.dx = 0 <NEW_LINE> self.dy = 0 | Class to keep track of a ball's location and velocity vector. | 62598eeb2eb69b55b15a072a |
class Viewdraw(object): <NEW_LINE> <INDENT> def write(self, design, filename): <NEW_LINE> <INDENT> with open(filename, "w") as f: <NEW_LINE> <INDENT> f.write('Viewdraw export is currently unsupported') | The Viewdraw Format Writer | 62598eeb4527f215b58e863d |
class ProxiedProtocol(floo_proto.FlooProtocol): <NEW_LINE> <INDENT> def _handle(self, data): <NEW_LINE> <INDENT> self.proxy(data) | Speaks floo proto, but is given the conn and we don't want to reconnect | 62598eeb4428ac0f6e656c93 |
class Worker: <NEW_LINE> <INDENT> def __init__(self, worker_id, last_active=None): <NEW_LINE> <INDENT> self.id = worker_id <NEW_LINE> self.reference = None <NEW_LINE> self.last_active = last_active or time.time() <NEW_LINE> self.last_get_work = None <NEW_LINE> self.started = time.time() <NEW_LINE> self.tasks = set() <N... | Structure for tracking worker activity and keeping their references. | 62598eeb851cf427c66b6a07 |
class MuscleError(Exception): <NEW_LINE> <INDENT> def __init__(self, message): <NEW_LINE> <INDENT> self.message = message | Exception raised when Muscle fails | 62598eeb9c8ee8231303f4f9 |
class RecordingSetupFace(LoginRequiredMixin, generic.View): <NEW_LINE> <INDENT> login_url = settings.LOGIN_URL <NEW_LINE> setup_view = 'recording/setup_face.html' <NEW_LINE> def get(self, request, interview_id, camera_id): <NEW_LINE> <INDENT> return render( request, self.setup_view, { 'interview': interview_id, 'camera... | Generic view to display the recording setup (face),
this will be shown after login success | 62598eeb0a50d4780f703ae7 |
class StringNodeVectorizer(object): <NEW_LINE> <INDENT> def __init__(self, dbConn): <NEW_LINE> <INDENT> self.dbConn = dbConn <NEW_LINE> self.stringStore = StringStore(dbConn) <NEW_LINE> <DEDENT> def vectorizeString(self, stringNode): <NEW_LINE> <INDENT> vector = () <NEW_LINE> if None != stringNode and stringNode.has_ke... | classdocs | 62598eeb16aa5153ce3fec40 |
class EpisodeActionChanges(object): <NEW_LINE> <INDENT> def __init__(self, actions, since): <NEW_LINE> <INDENT> self.actions = actions <NEW_LINE> self.since = since | Container for added episode actions
Attributes:
actions - A list of EpisodeAction objects
since - A timestamp value for use in future requests | 62598eebfff4ab517ebcbf18 |
class UseAfterParameters(Parameters): <NEW_LINE> <INDENT> selector = UseAfterSelector | Parameters for UseAfterSelector | 62598eeb097d151d1a2bf75d |
class NewLog: <NEW_LINE> <INDENT> description = "Create a new log entry for today" <NEW_LINE> args = [] <NEW_LINE> def run(self): <NEW_LINE> <INDENT> log = LogFile(datetime.now(), create=True) <NEW_LINE> previous = log.previous <NEW_LINE> logs = [previous] if previous else [] <NEW_LINE> logs.append(log) <NEW_LINE> Edit... | Command to create a new log entry | 62598eebaad79263cf42cf4c |
class AbstractDataSource(models.Model): <NEW_LINE> <INDENT> id = models.CharField(max_length=100, primary_key=True) <NEW_LINE> name = models.CharField(max_length=255) <NEW_LINE> user_editable_organizations = models.BooleanField(default=False, verbose_name=_('Organizations may be edited by users')) <NEW_LINE> class Meta... | Abstract data source model.
Abstract data source model that provides required fields
for custom data source model. | 62598eeb7c178a314d78bbd4 |
class ChecklistCreateView(CreateView): <NEW_LINE> <INDENT> template_name = os.path.join("checklists","checklist_createview.html") <NEW_LINE> form_class = CheckListCreateForm <NEW_LINE> success_url = reverse_lazy("maintenance:inbox") <NEW_LINE> def post(self, *args, **kwargs): <NEW_LINE> <INDENT> resp = super(ChecklistC... | Form for creating new checklists by admin staff. | 62598eeb460517430c430bc9 |
class ItopcliConfig(object): <NEW_LINE> <INDENT> file = None <NEW_LINE> classes = [] <NEW_LINE> find_instance = None <NEW_LINE> delete_instances = None <NEW_LINE> save = None | ItopcliConfig represent configuration for itop-cli | 62598eeb26068e7796d4b09d |
class Environment: <NEW_LINE> <INDENT> def score(): <NEW_LINE> <INDENT> raise NotImplementedError() | For these purposes, the target of the agent | 62598eeb2ae34c7f260a9828 |
class Logger(logging.Logger): <NEW_LINE> <INDENT> _log_map = set() <NEW_LINE> def __init__(self, name, level=logging.DEBUG): <NEW_LINE> <INDENT> logging.Logger.__init__(self, name, level) <NEW_LINE> Logger._log_map.add(name) | Maintains a list of loggers for this package
| 62598eeb8e71fb1e983ba1ae |
class VHDIResolverHelperTest(test_lib.ResolverHelperTestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> super(VHDIResolverHelperTest, self).setUp() <NEW_LINE> test_path = self._GetTestFilePath(['ext2.vhd']) <NEW_LINE> self._SkipIfPathNotExists(test_path) <NEW_LINE> test_os_path_spec = path_spec_factory.... | Tests for the Virtual Hard Disk image resolver helper implementation. | 62598eeb4527f215b58e863f |
class LinearOperatorCirculant2DTestHermitianSpectrum( LinearOperatorCirculant2DBaseTest, linear_operator_test_util.SquareLinearOperatorDerivedClassTest): <NEW_LINE> <INDENT> def _operator_and_matrix( self, build_info, dtype, use_placeholder, ensure_self_adjoint_and_pd=False): <NEW_LINE> <INDENT> shape = build_info.shap... | Test of LinearOperatorCirculant2D when the spectrum is Hermitian.
Hermitian spectrum <==> Real valued operator. We test both real and complex
dtypes here though. So in some cases the matrix will be complex but with
zero imaginary part. | 62598eeb21bff66bcd721395 |
class _ExternalComponentFactory(object): <NEW_LINE> <INDENT> pass | _ExternalComponentFactory will contain all created external component types | 62598eeb3346ee7daa336a09 |
class RecordSet: <NEW_LINE> <INDENT> def __init__(self, tableData, columnNames): <NEW_LINE> <INDENT> self.data = tableData <NEW_LINE> self.columns = columnNames <NEW_LINE> self.columnMap = {} <NEW_LINE> for name,n in zip(columnNames, xrange(10000)): <NEW_LINE> <INDENT> self.columnMap[name] = n <NEW_LINE> <DEDENT> <DEDE... | Wrapper for tabular data. | 62598eeb7047854f4633db15 |
class DNNClassifier(dnn_linear_combined.DNNLinearCombinedClassifier): <NEW_LINE> <INDENT> def __init__(self, hidden_units, feature_columns=None, model_dir=None, n_classes=2, weight_column_name=None, optimizer=None, activation_fn=nn.relu, dropout=None): <NEW_LINE> <INDENT> super(DNNClassifier, self).__init__(n_classes=n... | A classifier for TensorFlow DNN models.
Example:
```
installed_app_id = sparse_column_with_hash_bucket("installed_id", 1e6)
impression_app_id = sparse_column_with_hash_bucket("impression_id", 1e6)
installed_emb = embedding_column(installed_app_id, dimension=16,
c... | 62598eeb091ae35668703359 |
class User(db.Model): <NEW_LINE> <INDENT> __tablename__ = 'users' <NEW_LINE> id = db.Column(db.Integer, primary_key=True) <NEW_LINE> name = db.Column(db.String(30)) <NEW_LINE> api_id = db.Column(db.String(36), unique=True) <NEW_LINE> dossiers = db.relationship('Dossier', backref='user', lazy='dynamic') <NEW_LINE> def _... | User model for our Dossier
name:
The name as retrieved from the owner api
api_id:
ID of the user who has installed the app, this
will be the same across all leagues for this user
dossiers:
Child table that has one dossier for each league
that this user is a part of. | 62598eeb236d856c2adc87b6 |
class RollingHash: <NEW_LINE> <INDENT> def __init__(self, s): <NEW_LINE> <INDENT> self.HASH_BASE = 7 <NEW_LINE> self.seqlen = len(s) <NEW_LINE> n = self.seqlen - 1 <NEW_LINE> h = 0 <NEW_LINE> for c in s: <NEW_LINE> <INDENT> h += ord(c) * (self.HASH_BASE ** n) <NEW_LINE> n -= 1 <NEW_LINE> <DEDENT> self.curhash = h <NEW_... | Utility class | 62598eeb5fdd1c0f98e5c6e2 |
class MFKMode(MemObject): <NEW_LINE> <INDENT> def __init__(self, name,pklist = []): <NEW_LINE> <INDENT> MemObject.__init__(self, name, mclient) <NEW_LINE> self.pklist = pklist | 外键内存数据模型
| 62598eeb97e22403b3839631 |
class FCFS(SchedulerDES): <NEW_LINE> <INDENT> def scheduler_func(self, cur_event): <NEW_LINE> <INDENT> return self.processes[cur_event.process_id] <NEW_LINE> <DEDENT> def dispatcher_func(self, cur_proc): <NEW_LINE> <INDENT> cur_proc.process_state = ProcessStates.RUNNING <NEW_LINE> cur_proc.run_for(cur_proc.service_time... | Implementation of FCFS/FIFO scheduling algorithms
using OOP techniques | 62598eeb498bea3a75a56273 |
class SetAbstraction(DeepCLRModule): <NEW_LINE> <INDENT> def __init__(self, input_dim: int, point_dim: int, mlps: List[List[List[int]]], npoint: List[int], radii: List[List[float]], nsamples: List[List[int]], batch_norm: bool = False, **_kwargs: Any): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> assert point_dim =... | Set abstraction layer for preprocessing the individual point cloud. | 62598eeb4f6381625f19885c |
class _BeCalmFetcher(DocIterator): <NEW_LINE> <INDENT> domain = None <NEW_LINE> url = None <NEW_LINE> textfield = None <NEW_LINE> def iter_documents(self, source): <NEW_LINE> <INDENT> return self._iter_documents(source) <NEW_LINE> <DEDENT> def _iter_documents(self, docids): <NEW_LINE> <INDENT> if not isinstance(docids,... | Fetch documents from BeCalm's servers. | 62598eebdc8b845886d51d05 |
class ForgotCredentialReset(Form): <NEW_LINE> <INDENT> university_email = StringField( 'Email', validators=[ DataRequired(), Email(), university_email_does_not_exits ] ) | Form to send reset email with verification. | 62598eeb379a373c97d97737 |
class StorageArea(ModelSQL, ModelView): <NEW_LINE> <INDENT> __name__ = 'storage.area' <NEW_LINE> name = fields.Char('Name', required=True, select=True) <NEW_LINE> sequence = fields.Integer('Sequence', required=True, select=True) <NEW_LINE> description = fields.Text('Description', select=True) <NEW_LINE> @classmethod <N... | Storage Area | 62598eeb2c8b7c6e89bd1f03 |
class UserNotInGroupSource(SpecializedSource): <NEW_LINE> <INDENT> def construct_query(self, ctx): <NEW_LINE> <INDENT> if IAlchemistContainer.providedBy(ctx): <NEW_LINE> <INDENT> assert IGroupMember.implementedBy(ctx.domain_model), ctx <NEW_LINE> assert IGroup.providedBy(ctx.__parent__), ctx <NEW_LINE> group = ctx.__pa... | All active users who are not, in some way or another,
already member of the context group. | 62598eeb56ac1b37e630092f |
class NodeVisitor(ast.NodeVisitor): <NEW_LINE> <INDENT> def __init__(self, dispatcher, *args, **kwargs): <NEW_LINE> <INDENT> self.dispatcher = dispatcher <NEW_LINE> self.args = args <NEW_LINE> self.kwargs = kwargs <NEW_LINE> <DEDENT> def visit(self, node): <NEW_LINE> <INDENT> rv = self.dispatcher(node, *self.args, **se... | AST node visitor which wraps a single-dispatch function. | 62598eeb009cb60464cffc90 |
class Url(namedtuple('Url', url_attrs)): <NEW_LINE> <INDENT> slots = () <NEW_LINE> def __new__(cls, scheme=None, auth=None, host=None, port=None, path=None, query=None, fragment=None): <NEW_LINE> <INDENT> return super(Url, cls).__new__(cls, scheme, auth, host, port, path, query, fragment) <NEW_LINE> <DEDENT> @property ... | Datastructure for representing an HTTP URL. Used as a return value for
:func:`parse_url`. | 62598eeb4527f215b58e8640 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.