code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
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class AssumptionsContext(set): <NEW_LINE> <INDENT> def add(self, *assumptions): <NEW_LINE> <INDENT> for a in assumptions: <NEW_LINE> <INDENT> super().add(a) <NEW_LINE> <DEDENT> <DEDENT> def _sympystr(self, printer): <NEW_LINE> <INDENT> if not self: <NEW_LINE> <INDENT> return "%s()" % self.__class__.__name__ <NEW_LINE> ... | Set containing default assumptions which are applied to the ``ask()``
function.
Explanation
===========
This is used to represent global assumptions, but you can also use this
class to create your own local assumptions contexts. It is basically a thin
wrapper to Python's set, so see its documentation for advanced usa... | 62598f4c0a366e3fb87dbd5d |
class RateOfChangeTransformer(ScalingTransformer): <NEW_LINE> <INDENT> def __init__(self, **kwargs): <NEW_LINE> <INDENT> super(RateOfChangeTransformer, self).__init__(**kwargs) <NEW_LINE> self.cache = {} <NEW_LINE> self.scale = self.scale or '1' <NEW_LINE> <DEDENT> def handle_sample(self, context, s): <NEW_LINE> <INDEN... | Transformer based on the rate of change of a sample volume.
For example taking the current and previous volumes of a cumulative sample
and producing a gauge value based on the proportion of some maximum used. | 62598f4c21a7993f00c65305 |
class QuarterEnd(QuarterOffset): <NEW_LINE> <INDENT> _outputName = 'QuarterEnd' <NEW_LINE> _default_startingMonth = 3 <NEW_LINE> _prefix = 'Q' <NEW_LINE> @apply_wraps <NEW_LINE> def apply(self, other): <NEW_LINE> <INDENT> n = self.n <NEW_LINE> other = datetime(other.year, other.month, other.day, other.hour, other.minut... | DateOffset increments between business Quarter dates
startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, ...
startingMonth = 2 corresponds to dates like 2/28/2007, 5/31/2007, ...
startingMonth = 3 corresponds to dates like 3/31/2007, 6/30/2007, ... | 62598f4c15fb5d323ce7e0b9 |
class Config: <NEW_LINE> <INDENT> SECRET_KEY = "TQ6uZxn+SLqiLgVimX838/VplIsLbEP5jV7vvZ+Ohqw=" <NEW_LINE> SQLALCHEMY_DATABASE_URI = "mysql://root:mysql@localhost/ihome" <NEW_LINE> SQLALCHEMY_TRACK_MODIFICATIONS = True <NEW_LINE> REDIS_HOST = "127.0.0.1" <NEW_LINE> REDIS_PORT = 6379 <NEW_LINE> SESSION_TYPE = "redis" <NEW... | 基本配置参数 | 62598f4c627d3e7fe0e0621e |
class ProtocolErrorRequest(LaunchpadBrowserRequest): <NEW_LINE> <INDENT> def traverse(self, object): <NEW_LINE> <INDENT> return None | An HTTP request that happened to result in an HTTP error. | 62598f4c0a366e3fb87dbd5f |
class Line(ChartObject): <NEW_LINE> <INDENT> def __init__(self, values, index=None, title=None, xlabel=None, ylabel=None, legend=False, xscale="linear", yscale="linear", width=800, height=600, tools=True, filename=False, server=False, notebook=False, facet=False, xgrid=True, ygrid=True): <NEW_LINE> <INDENT> self.values... | This is the Line class and it is in charge of plotting
Line charts in an easy and intuitive way.
Essentially, we provide a way to ingest the data, make the proper
calculations and push the references into a source object.
We additionally make calculations for the ranges.
And finally add the needed lines taking the ref... | 62598f4c15fb5d323ce7e0bb |
class SimpleSharingViewlet(ViewletBase): <NEW_LINE> <INDENT> index = ViewPageTemplateFile('sharing.pt') | Viewlet to display the simple sharing form | 62598f4c507cdc57c63a4131 |
class UnlockDevice(Command): <NEW_LINE> <INDENT> NUMBER = 0x106 <NEW_LINE> key = stringfield(8, start=16) <NEW_LINE> def __init__(self, key='-1\0\0\0\0\0\0'): <NEW_LINE> <INDENT> Command.__init__(self, 24) <NEW_LINE> self.number = UnlockDevice.NUMBER <NEW_LINE> self.type = 0x01 <NEW_LINE> self.length = 8 <NEW_LINE> sel... | Unlock the device | 62598f4c3cc13d1c6d464b05 |
class PeerCredLineServer(basic.LineReceiver): <NEW_LINE> <INDENT> delimiter = b'\n' <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> self.uid = None <NEW_LINE> self.gid = None <NEW_LINE> self.username = None <NEW_LINE> <DEDENT> def connectionMade(self): <NEW_LINE> <INDENT> _LOGGER.info('connection made') <NEW_LINE> <... | Line based GSSAPI server. | 62598f4c627d3e7fe0e06220 |
class CorrelationViewForm(forms.Form): <NEW_LINE> <INDENT> assignment_name = forms.ModelChoiceField(required=True, queryset=AssignmentName.objects, cache_choices=True) | Form to choose Assignment Name | 62598f4c462c4b4f79dbad93 |
class Car: <NEW_LINE> <INDENT> def __init__(self, fuel=0, name=""): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> self.fuel = fuel <NEW_LINE> self.odometer = 0 <NEW_LINE> <DEDENT> def add_fuel(self, amount): <NEW_LINE> <INDENT> self.fuel += amount <NEW_LINE> <DEDENT> def drive(self, distance): <NEW_LINE> <INDENT> if ... | Represent a Car object. | 62598f4c15fb5d323ce7e0bd |
class OptionParser(object): <NEW_LINE> <INDENT> __metaclass__ = abc.ABCMeta <NEW_LINE> @abc.abstractmethod <NEW_LINE> def load(self, arguments): <NEW_LINE> <INDENT> return 0 <NEW_LINE> <DEDENT> @abc.abstractmethod <NEW_LINE> def dump(self): <NEW_LINE> <INDENT> return [] <NEW_LINE> <DEDENT> @abc.abstractmethod <NEW_LINE... | OptionParser is an abstract class and defines the interfaces.
All of option parser need inherit this class. | 62598f4c627d3e7fe0e06222 |
class PackedAncestryMap(AncestryMap): <NEW_LINE> <INDENT> def __init__(self, prefix): <NEW_LINE> <INDENT> super().__init__(prefix) <NEW_LINE> super()._get_snp_dataframe() <NEW_LINE> super()._get_inds() <NEW_LINE> self._get_genotype_matrix() <NEW_LINE> <DEDENT> def _get_genotype_matrix(self): <NEW_LINE> <INDENT> rlen = ... | Class for packed ancestry map eigenstrat format.
The packed format's geno is binary so it requires a
couple steps processing before being loaded into a
numpy array. We modify some code from
https://github.com/mathii/pyEigenstrat
Arguments
---------
prefix : str
prefix of path to data files | 62598f4c21a7993f00c6530f |
class WorkflowUnknownError(LambdaBuilderError): <NEW_LINE> <INDENT> MESSAGE = "{workflow_name}:{action_name} - {reason}" | Raised when the build ran into an unexpected error | 62598f4c3cc13d1c6d464b0d |
class RSI(technical.EventBasedFilter): <NEW_LINE> <INDENT> def __init__(self, dataSeries, period, maxLen=None): <NEW_LINE> <INDENT> super(RSI, self).__init__(dataSeries, RSIEventWindow(period), maxLen) | Relative Strength Index filter as described in http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:relative_strength_index_rsi.
:param dataSeries: The DataSeries instance being filtered.
:type dataSeries: :class:`pyalgotrade.dataseries.DataSeries`.
:param period: The period. Note that if period... | 62598f4c56b00c62f0fb1c52 |
class CreateProbe(ProbeCommand): <NEW_LINE> <INDENT> log = logging.getLogger(__name__ + '.CreateProbe') <NEW_LINE> def get_parser(self, prog_name): <NEW_LINE> <INDENT> parser = super(CreateProbe, self).get_parser(prog_name) <NEW_LINE> parser.add_argument( 'id', metavar='network_id', help=_('ID of network to probe')) <N... | Create probe port and interface, then plug it in. | 62598f4c15fb5d323ce7e0c5 |
class QuoteMove(Wizard): <NEW_LINE> <INDENT> __name__ = 'tmi.move.quote' <NEW_LINE> start_state = 'default' <NEW_LINE> default = StateView('tmi.move.quote.default', 'tmi.tmi_move_quote_default_view_form', [ Button('Cancel', 'end', 'tryton-cancel'), Button('Ok', 'cancel', 'tryton-ok', default=True), ]) <NEW_LINE> cancel... | Tmi Quote Move | 62598f4cd164cc6175820319 |
class Team( object ): <NEW_LINE> <INDENT> def __init__( self, name, players ): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> self.players = players <NEW_LINE> <DEDENT> def __repr__( self ): <NEW_LINE> <INDENT> return 'Team(%s)' % self.name <NEW_LINE> <DEDENT> def __str__( self ): <NEW_LINE> <INDENT> return self.name ... | A team. | 62598f4c462c4b4f79dbad9d |
class FilterRoutingRegion(Region): <NEW_LINE> <INDENT> def __init__(self, keyspace_routes, filter_routing_tag="filter_routing", index_field="index"): <NEW_LINE> <INDENT> self.keyspace_routes = keyspace_routes <NEW_LINE> self.filter_routing_tag = filter_routing_tag <NEW_LINE> self.index_field = index_field <NEW_LINE> <D... | Region of memory which maps routing entries to filter indices.
Attributes
----------
keyspace_routes : [(BitField, int), ...]
Pairs of BitFields (keyspaces) to the index of the filter that packets
matching the entry should be routed. | 62598f4cff9c53063f5199ea |
class IFooter(IPortletManager): <NEW_LINE> <INDENT> pass | Portlet manager that is rendered in page footer
Register a portlet for IFooter if it is applicable to page footer. | 62598f4c15fb5d323ce7e0c9 |
class Concatenate(object): <NEW_LINE> <INDENT> def __init__(self, sep=','): <NEW_LINE> <INDENT> self.sep = sep <NEW_LINE> self.ans = '' <NEW_LINE> <DEDENT> def step(self, value): <NEW_LINE> <INDENT> if value is not None: <NEW_LINE> <INDENT> self.ans += value + self.sep <NEW_LINE> <DEDENT> <DEDENT> def finalize(self): <... | String concatenation aggregator for sqlite | 62598f4cd164cc617582031d |
class DevelopmentConfig(Config): <NEW_LINE> <INDENT> DEBUG = True <NEW_LINE> SQLALCHEMY_DATABASE_URI = os.getenv('DATABASE_URL') or 'postgresql://localhost/iosdb' <NEW_LINE> SECRET_KEY = 1234 | Configurations for Development. | 62598f4c3cc13d1c6d464b13 |
class CribbagePlayer(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def discard(self, is_dealer, hand, player_score, opponent_score): <NEW_LINE> <INDENT> raise NotImplementedError() <NEW_LINE> <DEDENT> def play_card(self, is_dealer, hand, played_cards, is_go, linear_play, ... | Abstract base class for an object that plays a game of cribbage. | 62598f4c56b00c62f0fb1c58 |
class OneVsAllClassification(object): <NEW_LINE> <INDENT> def __init__(self, classifier_constructor, provide_likelihood=False): <NEW_LINE> <INDENT> self._classifier_constructor = classifier_constructor <NEW_LINE> self._label_classifiers = None <NEW_LINE> self._label_values = None <NEW_LINE> self._provide_likelihood = p... | Give a classifier that is ONLY able to predict how likely a binary classification is,
predict which of N classes each element is in.
Good example is the LogisticRegression (or LogisticRegressionTF) classifier.
Parameters
--------
classifier_constructor
Function that, when called, returns a new instance of a learn... | 62598f4ceab8aa0e5d30b119 |
class Castle: <NEW_LINE> <INDENT> (STATE_STANDING, STATE_DESTROYED, STATE_EXPLODING) = range(3) <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> global sprites <NEW_LINE> self.img_undamaged = sprites.subsurface(0, 15, 16, 16) <NEW_LINE> self.img_destroyed = sprites.subsurface(16, 15, 16, 16) <NEW_LINE> self.rect = py... | Player's castle/fortress | 62598f4dd164cc6175820323 |
class UserProfile(AbstractBaseUser, PermissionsMixin): <NEW_LINE> <INDENT> email = models.EmailField(max_length=255, unique=True) <NEW_LINE> name = models.CharField(max_length=255) <NEW_LINE> is_active = models.BooleanField(default=True) <NEW_LINE> is_staff = models.BooleanField(default=False) <NEW_LINE> objects = User... | Represents a custom user profile inside our system. 018 | 62598f4deab8aa0e5d30b11f |
class HSplit(HVLayout): <NEW_LINE> <INDENT> _DEFAULT_ORIENTATION = 'h' <NEW_LINE> _DEFAULT_MODE = 'split' | Horizontal layout that initially distributes the available space
corresponding to the widget's flex values, and has draggable splitters.
By default, this layout has a slightly larger spacing between the widgets.
(I.e. an HVLayout with orientation 'h' and mode 'split'.) | 62598f4dff9c53063f5199f4 |
class GophishClient(object): <NEW_LINE> <INDENT> def __init__(self, api_key, host=DEFAULT_URL, **kwargs): <NEW_LINE> <INDENT> self.api_key = api_key <NEW_LINE> if host.endswith('/'): <NEW_LINE> <INDENT> self.host = host <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> self.host = host + '/' <NEW_LINE> <DEDENT> self._clien... | A standard HTTP REST client used by Gophish | 62598f4d15fb5d323ce7e0d3 |
class Gt(Operator): <NEW_LINE> <INDENT> _precedence = 9 <NEW_LINE> def __init__(self, left, right, *args, **kwargs): <NEW_LINE> <INDENT> super(Gt, self).__init__(*args, **kwargs) <NEW_LINE> self.left = left <NEW_LINE> self.right = right <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDENT> string = self._enclose(s... | The `>` expression. | 62598f4d21a7993f00c65321 |
class ListOwners(ConsoleTask): <NEW_LINE> <INDENT> @classmethod <NEW_LINE> def register_options(cls, register): <NEW_LINE> <INDENT> super(ListOwners, cls).register_options(register) <NEW_LINE> register('--output-format', default='text', choices=['text', 'json'], help='Output format of results.') <NEW_LINE> <DEDENT> @cl... | Print targets that own a source file.
$ pants targets -- path/to/my/source.java
path/to/my:target1
another/path:target2 | 62598f4d462c4b4f79dbadad |
class LinuxBridge(Switch): <NEW_LINE> <INDENT> def __init__(self, name, **kwargs): <NEW_LINE> <INDENT> Switch.__init__(self, name, **kwargs) <NEW_LINE> <DEDENT> @staticmethod <NEW_LINE> def setup(): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def start(self, controllers): <NEW_LINE> <INDENT> brctl = '/sbin/brctl' <NEW... | The Linux Bridge for Mininet. Much simpler than the
OVSKernelSwitch and all its complex machinary. | 62598f4d21a7993f00c65323 |
@pydantic.dataclasses.dataclass( frozen=True, config=type( 'Config', (), dict( arbitrary_types_allowed=True, ), ), ) <NEW_LINE> class CesionL0: <NEW_LINE> <INDENT> DATETIME_FIELDS_TZ: ClassVar[tz_utils.PytzTimezone] = SII_OFFICIAL_TZ <NEW_LINE> dte_key: dte_data_models.DteNaturalKey <NEW_LINE> seq: Optional[int] <NEW_L... | Data of a "cesión" (level 0).
Its fields are enough to uniquely identify a "cesión" but nothing more.
The class instances are immutable. | 62598f4deab8aa0e5d30b125 |
class In(Operator): <NEW_LINE> <INDENT> _precedence = 8 <NEW_LINE> def __init__(self, left, right, *args, **kwargs): <NEW_LINE> <INDENT> super(In, self).__init__(*args, **kwargs) <NEW_LINE> self.left = left <NEW_LINE> self.right = right <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDENT> string = self._enclose(s... | The `in` expression. | 62598f4dbf627c535bcb0829 |
class PopupMessage(Dialog): <NEW_LINE> <INDENT> def __init__(self, text="", window=None, batch=None, group=None, theme=None, on_escape=None): <NEW_LINE> <INDENT> def on_ok(dialog=None): <NEW_LINE> <INDENT> if on_escape is not None: <NEW_LINE> <INDENT> on_escape(self) <NEW_LINE> <DEDENT> self.teardown() <NEW_LINE> <DEDE... | A simple fire-and-forget dialog. | 62598f4d56b00c62f0fb1c66 |
class MyText(Text): <NEW_LINE> <INDENT> def draw(self, context): <NEW_LINE> <INDENT> Text.draw(self, context) <NEW_LINE> cr = context.cairo <NEW_LINE> w, h = text_extents(cr, self.text, multiline=self.multiline) <NEW_LINE> cr.rectangle(0, 0, w, h) <NEW_LINE> cr.set_source_rgba(.3, .3, 1., .6) <NEW_LINE> cr.stroke() | Text with experimental connection protocol. | 62598f4d925a0f43d25e73e2 |
class Graph: <NEW_LINE> <INDENT> def __init__(self, edges=None, nodes=None): <NEW_LINE> <INDENT> self.nodes: List[int] = nodes if nodes is not None else [] <NEW_LINE> self.edges: List[Tuple[int, int]] = edges if edges is not None else [] <NEW_LINE> self.edges = list(map(tuple, map(sorted, self.edges))) <NEW_LINE> <DEDE... | Simple Undirected Graph Class | 62598f4d5166f23b2e24278f |
class Facter: <NEW_LINE> <INDENT> _facts = {} <NEW_LINE> __resolvers = {} <NEW_LINE> @staticmethod <NEW_LINE> def get(enumvar): <NEW_LINE> <INDENT> if enumvar in Facter._facts: <NEW_LINE> <INDENT> return Facter._facts[enumvar] <NEW_LINE> <DEDENT> elif enumvar in Facter.__resolvers: <NEW_LINE> <INDENT> resolved = Facter... | A nano version of Puppet's Facter | 62598f4d56b00c62f0fb1c6a |
class ItemCell(PropertyAsCellMapper): <NEW_LINE> <INDENT> def __init__(self,key): <NEW_LINE> <INDENT> self.subject = key <NEW_LINE> <DEDENT> def extract(self,ob): <NEW_LINE> <INDENT> return ob[self.subject] <NEW_LINE> <DEDENT> def _set(self,ob,value): <NEW_LINE> <INDENT> ob[self.subject] = value | Treat mapping key as a cell mapper | 62598f4dd164cc6175820331 |
class BJ_Deck(Cards.Deck): <NEW_LINE> <INDENT> def populate(self): <NEW_LINE> <INDENT> for suit in BJ_Card.SUITS: <NEW_LINE> <INDENT> for rank in BJ_Card.RANKS: <NEW_LINE> <INDENT> self.cards.append(BJ_Card(rank, suit)) | Колода для игры в БлекДжек | 62598f4dbf627c535bcb082f |
class PersonsFilmView(APIView): <NEW_LINE> <INDENT> def __get_object(self, film_id, cleaned_data): <NEW_LINE> <INDENT> filter = { 'film': film_id, } <NEW_LINE> if cleaned_data['type'] and cleaned_data['type'] != 'all': <NEW_LINE> <INDENT> filter.update({'p_type': dict(APP_FILM_PERSON_TYPES_OUR)[cleaned_data['type']]}) ... | Returns all persons by film | 62598f4d21a7993f00c6532d |
class BertForMultipleChoice(BertPreTrainedModel): <NEW_LINE> <INDENT> def __init__(self, config, num_choices): <NEW_LINE> <INDENT> super(BertForMultipleChoice, self).__init__(config) <NEW_LINE> self.num_choices = num_choices <NEW_LINE> self.bert = BertModel(config) <NEW_LINE> self.dropout = nn.Dropout(config.hidden_dro... | BERT model for multiple choice tasks.
This module is composed of the BERT model with a linear layer on top of
the pooled output.
Params:
`config`: a BertConfig class instance with the configuration to build a new model.
`num_choices`: the number of classes for the classifier. Default = 2.
Inputs:
`input_i... | 62598f4d507cdc57c63a4157 |
class SerializeMainLoop(SimpleExtension): <NEW_LINE> <INDENT> def __init__(self, path, save_separately=None, **kwargs): <NEW_LINE> <INDENT> kwargs.setdefault("after_training", True) <NEW_LINE> super(SerializeMainLoop, self).__init__(**kwargs) <NEW_LINE> self.path = path <NEW_LINE> self.save_separately = save_separately... | Saves a pickled version of the main loop to the disk.
The pickled main loop can be later reloaded and training can be
resumed.
Makes a `SAVED_TO` record in the log with the serialization destination
in the case of success and ``None`` in the case of failure.
Parameters
----------
path : str
The destination path ... | 62598f4dbf627c535bcb0833 |
class ActivityRule(Rule): <NEW_LINE> <INDENT> def run(self, mix, boundaries): <NEW_LINE> <INDENT> tracks = Rule.getTracks(mix, boundaries) <NEW_LINE> noiseThreshold = 0.1 <NEW_LINE> silenceRatio = 0.1 <NEW_LINE> masterSignal = Signal([], times=[]) <NEW_LINE> for track in tracks: <NEW_LINE> <INDENT> postFXSignal = track... | some tracks contain empty segments (such as only vocal tracks). Make sure that those segments are actually overlaped with sound | 62598f4d462c4b4f79dbadb9 |
class Solution2: <NEW_LINE> <INDENT> def get_size(self, head: ListNode) -> int: <NEW_LINE> <INDENT> counter = 0 <NEW_LINE> while head: <NEW_LINE> <INDENT> counter += 1 <NEW_LINE> head = head.next <NEW_LINE> <DEDENT> return counter <NEW_LINE> <DEDENT> def split(self, head: ListNode, size: int) -> ListNode or None: <NEW_... | Algorithm: Bottom Up Merge Sort
1) Start with splitting the list into sublists of size 1. Each adjacent pair of sublists of size 1 is merged in
sorted order. After the first iteration, we get the sorted lists of size 2. A similar process is repeated for
a sublist of size 2. In this way, we iteratively spl... | 62598f4d15fb5d323ce7e0e3 |
class SpeedElixir(Elixir): <NEW_LINE> <INDENT> pass | Potion that temporarily boosts speed | 62598f4deab8aa0e5d30b131 |
class MergeSortTest(SortTestCase): <NEW_LINE> <INDENT> def test_sort(self): <NEW_LINE> <INDENT> self.collection = MergeSort(self.collection) <NEW_LINE> self.collection.sort() <NEW_LINE> self.assertEqual(self.collection.items, range(25)) <NEW_LINE> self.assertEqual(self.collection.is_sorted(), True) | Tests the merge sort.
| 62598f4d0a366e3fb87dbd89 |
class Drive: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.service = self.connect() <NEW_LINE> self.PLAYLISTS_FOLDER_ID = self.get_id_by_name(PLAYLISTS_FOLDER_NAME) <NEW_LINE> <DEDENT> def connect(self): <NEW_LINE> <INDENT> store = file.Storage('token.json') <NEW_LINE> creds = store.get() <NEW_LINE> ... | This the class which provides the interface to handle the required operetions
with the Google Drive Api.
Attributes:
service: The Drive API instance
PLAYLISTS_FOLDER_ID (str): The Drive ID of the folder where the playlist are stored
Methods:
__init__: constructor, will dinitialize Drive service and ge... | 62598f4d5166f23b2e242799 |
class GameLogic: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.game_cap = None <NEW_LINE> self.questions = [] <NEW_LINE> QuestionSelectionGui(self.create_question_list) <NEW_LINE> <DEDENT> def create_question_list(self, questions_loc, file_name, game_cap): <NEW_LINE> <INDENT> if not file_name: <NEW_L... | Runs the logic of the game: enables to choose the questions file, then play and then shows
the questions asked along with their correct answers. | 62598f4d711fe17d825dfab5 |
class DomesticMelonOrder(AbstractMelonOrder): <NEW_LINE> <INDENT> tax = 0.08 <NEW_LINE> order_type = "domestic" | A domestic (in the US) melon order. | 62598f4d15fb5d323ce7e0e7 |
class Controller(object): <NEW_LINE> <INDENT> def index(self, req): <NEW_LINE> <INDENT> def build_version_object(version, path, status): <NEW_LINE> <INDENT> return { 'id': 'v%s' % version, 'status': status, 'links': [ { 'rel': 'self', 'href': '%s/%s/' % (req.host_url, path), }, ], } <NEW_LINE> <DEDENT> version_objs = [... | A wsgi controller that reports which API versions are supported. | 62598f4dd164cc617582033b |
class ConfuciusModel(models.Model): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> abstract = True <NEW_LINE> app_label = 'confucius' | Base class for models which belong to confucius.
Used mainly to avoid adding a Meta class with the
right app_label for each model. | 62598f4d5166f23b2e24279b |
class AuditCaseCategoryRelation(object): <NEW_LINE> <INDENT> swagger_types = { 'primary_category_id': 'str', 'primary_category_name': 'str', 'sub_category_list': 'list[AuditCaseSubCategory]' } <NEW_LINE> attribute_map = { 'primary_category_id': 'primary_category_id', 'primary_category_name': 'primary_category_name', 's... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 62598f4d21a7993f00c65335 |
class ProcessMedia(task.Task): <NEW_LINE> <INDENT> def run(self, media_id, feed_url): <NEW_LINE> <INDENT> entry = MediaEntry.query.get(media_id) <NEW_LINE> try: <NEW_LINE> <INDENT> entry.state = u'processing' <NEW_LINE> entry.save() <NEW_LINE> _log.debug('Processing {0}'.format(entry)) <NEW_LINE> proc_state = Processin... | Pass this entry off for processing. | 62598f4dff9c53063f519a0e |
class TestPerson(unittest.TestCase): <NEW_LINE> <INDENT> def test_fellow_inherits_person(self): <NEW_LINE> <INDENT> fellow = Fellow("ken", "N") <NEW_LINE> self.assertIsInstance(fellow, Person) <NEW_LINE> <DEDENT> def test_staff_inherits_person(self): <NEW_LINE> <INDENT> staff = Staff("jackson") <NEW_LINE> self.assertI... | test Room class | 62598f4d21a7993f00c65339 |
class SBS_CMD_BQ_CC_AND_ADC(DecoratedEnum): <NEW_LINE> <INDENT> RefreshCounter = 0x000 <NEW_LINE> Status = 0x008 <NEW_LINE> CurrentCC = 0x010 <NEW_LINE> CellVoltage0 = 0x020 <NEW_LINE> CellVoltage1 = 0x030 <NEW_LINE> CellVoltage2 = 0x040 <NEW_LINE> CellVoltage3 = 0x050 <NEW_LINE> PACKVoltage = 0x060... | OutputCCnADC sub-command fields used in BQ40 family SBS chips
| 62598f4eeab8aa0e5d30b13b |
class ModulePermission(BasePermission): <NEW_LINE> <INDENT> perms_map = { 'GET': ['%(app_label)s.view_%(model_name)s'], 'OPTIONS': ['%(app_label)s.view_%(model_name)s'], 'HEAD': ['%(app_label)s.view_%(model_name)s'], 'POST': ['%(app_label)s.view_%(model_name)s', '%(app_label)s.add_%(model_name)s'], 'PUT': ['%(app_label... | Permission object to check the module's permissions | 62598f4e5166f23b2e2427a1 |
class TwoLayerNet(object): <NEW_LINE> <INDENT> def __init__(self, input_dim=3*32*32, hidden_dim=100, num_classes=10, weight_scale=1e-3, reg=0.0): <NEW_LINE> <INDENT> self.params = {} <NEW_LINE> self.reg = reg <NEW_LINE> D = input_dim <NEW_LINE> H = hidden_dim <NEW_LINE> C = num_classes <NEW_LINE> self.params['W1'] = we... | A two-layer fully-connected neural network with ReLU nonlinearity and
softmax loss that uses a modular layer design. We assume an input dimension
of D, a hidden dimension of H, and perform classification over C classes.
The architecure should be affine - relu - affine - softmax.
Note that this class does not implemen... | 62598f4e711fe17d825dfabd |
class PolygonVisual(BaseVisual): <NEW_LINE> <INDENT> _default_color = (.5, .5, .5, 1.) <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> super(PolygonVisual, self).__init__() <NEW_LINE> self.set_shader('polygon') <NEW_LINE> self.set_primitive_type('line_loop') <NEW_LINE> self.data_range = Range(NDC) <NEW_LINE> self.tr... | Polygon. | 62598f4eeab8aa0e5d30b13d |
class max(FloatingReduction): <NEW_LINE> <INDENT> @staticmethod <NEW_LINE> @ngjit <NEW_LINE> def _append(x, y, agg, field): <NEW_LINE> <INDENT> if np.isnan(agg[y, x]): <NEW_LINE> <INDENT> agg[y, x] = field <NEW_LINE> <DEDENT> elif agg[y, x] < field: <NEW_LINE> <INDENT> agg[y, x] = field <NEW_LINE> <DEDENT> <DEDENT> @st... | Maximum value of all elements in ``column``.
Parameters
----------
column : str
Name of the column to aggregate over. Column data type must be numeric.
``NaN`` values in the column are skipped. | 62598f4e0a366e3fb87dbd96 |
class DataExportConfig(AppConfig): <NEW_LINE> <INDENT> name = "data_export" | Class for data_export configuration | 62598f4e507cdc57c63a4167 |
class Solution: <NEW_LINE> <INDENT> def letterCasePermutation(self, S): <NEW_LINE> <INDENT> out = [] <NEW_LINE> self.helper(S, 0, out) <NEW_LINE> <DEDENT> def helper(self, S, i, out): <NEW_LINE> <INDENT> if i >= len(S): <NEW_LINE> <INDENT> out.append(S) <NEW_LINE> return <NEW_LINE> <DEDENT> lower, upper = list(S), list... | @param S: a string
@return: return a list of strings | 62598f4ebf627c535bcb0844 |
class vizinhos_args(object): <NEW_LINE> <INDENT> thrift_spec = ( None, (1, TType.I32, 'id', None, None, ), ) <NEW_LINE> def __init__(self, id=None,): <NEW_LINE> <INDENT> self.id = id <NEW_LINE> <DEDENT> def read(self, iprot): <NEW_LINE> <INDENT> if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.C... | Attributes:
- id | 62598f4e21a7993f00c65341 |
class NummerAanduidingObject(AdresBaseClass, ObjectMixin, Object): <NEW_LINE> <INDENT> indicatie_hoofdadres = models.CharField(max_length=1, choices=JaNee.choices, help_text='Indicatie of de NUMMERAANDUIDING een hoofdadres is van het gerelateerde VERBLIJFSOBJECT, ' 'STANDPLAATS of LIGPLAATS' ) <NEW_LINE> identificatiec... | De aan het RSGB ontleende gegevens van een NUMMERAANDUIDING die in het RGBZ gebruikt
worden bij deze specialisatie van OBJECT. Zie voor de specificaties van deze gegevens het
RSGB. | 62598f4e5166f23b2e2427a9 |
class PhysicalObject(SpatialObject): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super(PhysicalObject, self).__init__() <NEW_LINE> self.height = IntervalCell() <NEW_LINE> self.width = IntervalCell() | Represents objects that occupy space | 62598f4eeab8aa0e5d30b143 |
class ImbalancedDatasetSampler(torch.utils.data.sampler.Sampler): <NEW_LINE> <INDENT> def __init__(self, dataset, indices=None, num_samples=None): <NEW_LINE> <INDENT> self.indices = list(range(len(dataset))) if indices is None else indices <NEW_LINE> self.num_samples = len(self.indices) if num_sam... | Samples elements randomly from a given list of indices for imbalanced dataset
Arguments:
indices (list, optional): a list of indices
num_samples (int, optional): number of samples to draw | 62598f4e15fb5d323ce7e0f7 |
class TestSchemaApi: <NEW_LINE> <INDENT> def setup(self): <NEW_LINE> <INDENT> self.app = Flask(__name__) <NEW_LINE> self.hypermedia = HyperMedia() <NEW_LINE> self.hypermedia.register_schema_api(self.app) <NEW_LINE> self.hypermedia.load_schema = Mock() <NEW_LINE> self.hypermedia.get_all_schemas = Mock() <NEW_LINE> self.... | Tests for SchemaApi | 62598f4e5166f23b2e2427ab |
class OBJECT_OT_Botao_Cancel(bpy.types.Operator): <NEW_LINE> <INDENT> bl_idname = "import.sound_animation_botao_cancel" <NEW_LINE> bl_label = "CANCEL" <NEW_LINE> def execute(self, context): <NEW_LINE> <INDENT> context.scene.imp_sound_to_anim.cancel_button_hit=True <NEW_LINE> return{'FINISHED'} <NEW_LINE> <DEDENT> def i... | Cancel Actual Operation | 62598f4eff9c53063f519a1e |
class FixtureLookupError(LookupError): <NEW_LINE> <INDENT> def __init__(self, argname, request, msg=None): <NEW_LINE> <INDENT> self.argname = argname <NEW_LINE> self.request = request <NEW_LINE> self.fixturestack = request._get_fixturestack() <NEW_LINE> self.msg = msg <NEW_LINE> <DEDENT> def formatrepr(self): <NEW_LINE... | could not return a requested Fixture (missing or invalid). | 62598f4e507cdc57c63a4171 |
class ShardStateTest(unittest.TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> os.environ["APPLICATION_ID"] = "my-app" <NEW_LINE> <DEDENT> def tearDown(self): <NEW_LINE> <INDENT> del os.environ["APPLICATION_ID"] <NEW_LINE> <DEDENT> def testAccessors(self): <NEW_LINE> <INDENT> shard = model.ShardState... | Tests model.ShardState. | 62598f4e711fe17d825dfacd |
class VehicleFuelEfficiency(EObject, metaclass=MetaEClass): <NEW_LINE> <INDENT> vehicleType = EAttribute(eType=VehicleTypeEnum, derived=False, changeable=True) <NEW_LINE> fuel = EAttribute(eType=MobilityFuelTypeEnum, derived=False, changeable=True) <NEW_LINE> efficiency = EAttribute(eType=EDouble, derived=False, change... | Information about vehicles, fuels and efficiency, used in MobilityFuelInformation | 62598f4e462c4b4f79dbadd7 |
class ClassroomData(object): <NEW_LINE> <INDENT> def classroom_id(self): <NEW_LINE> <INDENT> raise NotImplementedError() <NEW_LINE> <DEDENT> def week(self, week_type): <NEW_LINE> <INDENT> raise NotImplementedError() | Data for classroom | 62598f4eff9c53063f519a24 |
class ContinuousRule(Rule): <NEW_LINE> <INDENT> def __init__(self, attr_name, greater, value, inclusive=False): <NEW_LINE> <INDENT> self.attr_name = attr_name <NEW_LINE> self.greater = greater <NEW_LINE> self.value = value <NEW_LINE> self.inclusive = inclusive <NEW_LINE> <DEDENT> def merge_with(self, rule): <NEW_LINE> ... | Continuous rule class for handling numeric rules.
Parameters
----------
attr_name : str
greater : bool
Should indicate whether the variable must be greater than the value.
value : int
inclusive : bool, optional
Should the variable range include the value or not
(LT <> LTE | GT <> GTE). Default is False.
E... | 62598f4ebf627c535bcb0854 |
class Question(Post): <NEW_LINE> <INDENT> accepted_answer_key = ndb.KeyProperty(kind=Answer) <NEW_LINE> @classmethod <NEW_LINE> def can_be_deleted(self): <NEW_LINE> <INDENT> return True <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def all(self): <NEW_LINE> <INDENT> return self.query().order(-self.timestamp) <NEW_LINE> <... | A User asks a Question | 62598f4e0a366e3fb87dbda8 |
class DecodeCache( tfx_namedtuple.namedtuple('DecodeCache', ['dataset_key', 'cache_key', 'coder', 'label']), nodes.OperationDef): <NEW_LINE> <INDENT> __slots__ = () <NEW_LINE> def get_field_str(self, field_name): <NEW_LINE> <INDENT> if field_name == 'cache_key': <NEW_LINE> <INDENT> return '<bytes>' <NEW_LINE> <DEDENT> ... | OperationDef for decoding a cache instance.
Fields:
coder: An instance of CacheCoder used to decode cache.
label: A unique label for this operation. | 62598f4e796e427e5384db6f |
class Logistic(): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.w = None <NEW_LINE> self.b = None <NEW_LINE> <DEDENT> def fit(self, X, y, epochs=200, lr=0.005, l=0.01, show_loss=False): <NEW_LINE> <INDENT> X = X.transpose() <NEW_LINE> Y = y.reshape(1, -1) <NEW_LINE> n, m = X.shape <NEW_LINE> w = np.r... | Logistic regression with cross entropy loss | 62598f4e15fb5d323ce7e107 |
class FeatureTypeAdmin(admin.ModelAdmin): <NEW_LINE> <INDENT> list_per_page = 100 <NEW_LINE> fields = [ 'name', 'feature_type', ] <NEW_LINE> list_display = [ 'name', 'feature_type', ] <NEW_LINE> filter_horizontal = [] <NEW_LINE> list_filter = ['feature_type'] <NEW_LINE> inlines = [FeatureInline] | Manages admin interface for data groups | 62598f4eeab8aa0e5d30b155 |
class SelectableEnumAction(Action): <NEW_LINE> <INDENT> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> choices: [ArgsParseEnum] = kwargs.pop('choices', None) <NEW_LINE> choices: list[ArgsParseEnum] <NEW_LINE> if choices is None: <NEW_LINE> <INDENT> raise ValueError('Choices must have something in it') <NEW_LI... | As argparse does not have a smooth way of handling enums as options.
This action replaces the default way of handling enum options, in a more pretty and user friendly way. | 62598f4e925a0f43d25e740f |
class Solution: <NEW_LINE> <INDENT> def maxSubArray(self, nums): <NEW_LINE> <INDENT> if not nums: <NEW_LINE> <INDENT> return 0 <NEW_LINE> <DEDENT> result = -sys.maxsize <NEW_LINE> ant = 0 <NEW_LINE> for i in range(len(nums)): <NEW_LINE> <INDENT> if ant < 0: ant = 0 <NEW_LINE> ant += nums[i] <NEW_LINE> result = max(ant,... | 给定一个整数数组 nums ，找到一个具有最大和的连续子数组（子数组最少包含一个元素），返回其最大和。
示例:
输入: [-2,1,-3,4,-1,2,1,-5,4],
输出: 6
解释: 连续子数组 [4,-1,2,1] 的和最大，为 6。
进阶:
如果你已经实现复杂度为 O(n) 的解法，尝试使用更为精妙的分治法求解。 | 62598f4e15fb5d323ce7e10b |
class Documented: <NEW_LINE> <INDENT> def method_1(): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> @staticmethod <NEW_LINE> def method_2(): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def method_3(): <NEW_LINE> <INDENT> pass | Docstring | 62598f4e462c4b4f79dbade1 |
class Car(): <NEW_LINE> <INDENT> def __init__(self, make,model,year): <NEW_LINE> <INDENT> self.make = make <NEW_LINE> self.model = model <NEW_LINE> self.year = year <NEW_LINE> self.odometer_reading = 0 <NEW_LINE> self.gas = 20 <NEW_LINE> <DEDENT> def get_descriptive_name(self): <NEW_LINE> <INDENT> long_name = str(self.... | 汽车父类 | 62598f4e796e427e5384db75 |
class GetSubscribersInputSet(InputSet): <NEW_LINE> <INDENT> def set_AccessTokenSecret(self, value): <NEW_LINE> <INDENT> InputSet._set_input(self, 'AccessTokenSecret', value) <NEW_LINE> <DEDENT> def set_AccessToken(self, value): <NEW_LINE> <INDENT> InputSet._set_input(self, 'AccessToken', value) <NEW_LINE> <DEDENT> def ... | An InputSet with methods appropriate for specifying the inputs to the GetSubscribers
Choreo. The InputSet object is used to specify input parameters when executing this Choreo. | 62598f4e0a366e3fb87dbdb0 |
class UploadOther(BaseFile, UploadFile, AddFile): <NEW_LINE> <INDENT> def __init__(self, path, file): <NEW_LINE> <INDENT> super().__init__(path, file) <NEW_LINE> <DEDENT> def upload(self): <NEW_LINE> <INDENT> self.clear_path(self.path) <NEW_LINE> file_dir = os.path.join(self.path, self.file.filename) <NEW_LINE> self.fi... | Upload all files except archives | 62598f4e21a7993f00c65358 |
class MusicContinue: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> print('Downloading model bundle. This will take less than a minute...') <NEW_LINE> note_seq.notebook_utils.download_bundle('basic_rnn.mag', './content/') <NEW_LINE> print("Initializing Melody RNN...") <NEW_LINE> bundle = sequence_generator... | Author: Tanish and Jenny
Last Modified: 02/01/21
Version: 2.1
Class to wrap the sequence model from Magenta to continue music sequences | 62598f4e56b00c62f0fb1c9a |
class OneTimeReceiver(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.call_counter = 0 <NEW_LINE> self.call_args = None <NEW_LINE> <DEDENT> def __call__(self, signal, sender, **kwargs): <NEW_LINE> <INDENT> if kwargs['db'] == SYNCDB_DATABASE: <NEW_LINE> <INDENT> self.call_counter = self.call_co... | Special receiver for handle the fact that test runner calls syncdb for
several databases and several times for some of them. | 62598f4e15fb5d323ce7e10d |
class ListViewFrame(accessibles.Frame): <NEW_LINE> <INDENT> CHECKBOX = "MultiSelect" <NEW_LINE> def __init__(self, accessible): <NEW_LINE> <INDENT> super(ListViewFrame, self).__init__(accessible) <NEW_LINE> self.label = self.findLabel(None) <NEW_LINE> self.checkbox = self.findCheckBox(self.CHECKBOX) <NEW_LINE> self.tre... | the profile of the listview_list sample | 62598f4f0a366e3fb87dbdb2 |
class BooksRu(PartnerBase): <NEW_LINE> <INDENT> alias: str = 'booksru' <NEW_LINE> title: str = 'books.ru' <NEW_LINE> link_mutator: str = '?partner={partner_id}' <NEW_LINE> @classmethod <NEW_LINE> def get_price(cls, page_soup: BeautifulSoup) -> str: <NEW_LINE> <INDENT> price = '' <NEW_LINE> if page_soup: <NEW_LINE> <IND... | Класс реализует работу по партнёрской программе сайта books.ru. | 62598f4f21a7993f00c6535c |
class SearchResultsPageLocators(object): <NEW_LINE> <INDENT> pass | A class for search results locators. All search results locators should come here. | 62598f4f925a0f43d25e7419 |
class AddGroup(windowClass, baseClass): <NEW_LINE> <INDENT> def __init__(self, parent=None): <NEW_LINE> <INDENT> if uiTool.windowExists(parent, 'addGroupWindow'): <NEW_LINE> <INDENT> return <NEW_LINE> <DEDENT> super(AddGroup, self).__init__(parent) <NEW_LINE> self.setupUi(self) <NEW_LINE> self.show() <NEW_LINE> <DEDENT... | user control pannel... | 62598f4fd164cc6175820367 |
class Buttom(Wall): <NEW_LINE> <INDENT> def __init__(self, game): <NEW_LINE> <INDENT> a = Vector2D(0, game.height) <NEW_LINE> n = Vector2D(1, 0) <NEW_LINE> super().__init__(game, a, n) <NEW_LINE> <DEDENT> def on_collision(self, ball): <NEW_LINE> <INDENT> ball.destory() | Represents the buttom of the canvas. | 62598f4f5166f23b2e2427c7 |
class Ovdc: <NEW_LINE> <INDENT> def __new__(cls, client: vcd_client.Client): <NEW_LINE> <INDENT> api_version = client.get_vcd_api_version() <NEW_LINE> if api_version < vcd_client.VcdApiVersionObj.VERSION_35.value: <NEW_LINE> <INDENT> return MetadataBasedOvdc(client) <NEW_LINE> <DEDENT> elif api_version >= vcd_client.Vc... | Returns the ovdc class as determined by API version. | 62598f4f925a0f43d25e741d |
class Shoe(object): <NEW_LINE> <INDENT> reshuffle = False <NEW_LINE> def __init__(self, decks): <NEW_LINE> <INDENT> self.count = 0 <NEW_LINE> self.count_history = [] <NEW_LINE> self.ideal_count = {} <NEW_LINE> self.decks = decks <NEW_LINE> self.cards = self.init_cards() <NEW_LINE> self.init_count() <NEW_LINE> <DEDENT> ... | Represents the shoe, which consists of a number of card decks. | 62598f4fff9c53063f519a3a |
class Method(Attribute): <NEW_LINE> <INDENT> positional = required = () <NEW_LINE> _optional = varargs = kwargs = None <NEW_LINE> def _get_optional(self): <NEW_LINE> <INDENT> if self._optional is None: <NEW_LINE> <INDENT> return {} <NEW_LINE> <DEDENT> return self._optional <NEW_LINE> <DEDENT> def _set_optional(self, op... | Method interfaces
The idea here is that you have objects that describe methods.
This provides an opportunity for rich meta-data. | 62598f4f796e427e5384db81 |
class Batch(object): <NEW_LINE> <INDENT> def __init__(self, data=None, dataset=None, device=None, train=True): <NEW_LINE> <INDENT> if data is not None: <NEW_LINE> <INDENT> self.batch_size = len(data) <NEW_LINE> self.dataset = dataset <NEW_LINE> self.train = train <NEW_LINE> for (name, field) in dataset.fields.items(): ... | Defines a batch of examples along with its Fields.
Attributes:
batch_size: Number of examples in the batch.
dataset: A reference to the dataset object the examples come from
(which itself contains the dataset's Field objects).
train: Whether the batch is from a training set.
Also stores the Variab... | 62598f4f56b00c62f0fb1ca6 |
class SysViewEventContext(): <NEW_LINE> <INDENT> def __init__(self, handle, irq, name=''): <NEW_LINE> <INDENT> self.handle = handle <NEW_LINE> self.irq = irq <NEW_LINE> self.name = name | SystemView event context. | 62598f4f507cdc57c63a418d |
class EligibilityTrace(object): <NEW_LINE> <INDENT> def __init__(self, minTraceValue = 0.01, replacingTraces = True): <NEW_LINE> <INDENT> self.minTraceValue = minTraceValue <NEW_LINE> self.replacingTraces = replacingTraces <NEW_LINE> self.traces = defaultdict(float) <NEW_LINE> <DEDENT> def getTraces(self): <NEW_LINE> <... | A class that implements eligibility traces. | 62598f4f711fe17d825dfae8 |
class PyRedis(PythonPackage): <NEW_LINE> <INDENT> pypi = "redis/redis-3.3.8.tar.gz" <NEW_LINE> version('3.5.3', sha256='0e7e0cfca8660dea8b7d5cd8c4f6c5e29e11f31158c0b0ae91a397f00e5a05a2') <NEW_LINE> version('3.5.0', sha256='7378105cd8ea20c4edc49f028581e830c01ad5f00be851def0f4bc616a83cd89') <NEW_LINE> version('3.3.8', sh... | The Python interface to the Redis key-value store. | 62598f4f462c4b4f79dbadef |
class ArmPlot(GraphicsBlock): <NEW_LINE> <INDENT> nin = 1 <NEW_LINE> nout = 0 <NEW_LINE> inlabels = ('q',) <NEW_LINE> def __init__(self, robot=None, *inputs, q0=None, backend=None, **kwargs): <NEW_LINE> <INDENT> super().__init__(inputs=inputs, **kwargs) <NEW_LINE> self.inport_names(("q",)) <NEW_LINE> if q0 is None: <NE... | :blockname:`ARMPLOT`
.. table::
:align: left
+--------+---------+---------+
| inputs | outputs | states |
+--------+---------+---------+
| 1 | 0 | 0 |
+--------+---------+---------+
| ndarray| | |
+--------+---------+---------+ | 62598f4feab8aa0e5d30b169 |
class HandshakeType(TLSEnum): <NEW_LINE> <INDENT> hello_request = 0 <NEW_LINE> client_hello = 1 <NEW_LINE> server_hello = 2 <NEW_LINE> certificate = 11 <NEW_LINE> server_key_exchange = 12 <NEW_LINE> certificate_request = 13 <NEW_LINE> server_hello_done = 14 <NEW_LINE> certificate_verify = 15 <NEW_LINE> client_key_excha... | Message types in TLS Handshake protocol | 62598f4f462c4b4f79dbadf1 |
class RandomSampleCrop(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.sample_options = ( None, (0.1, None), (0.3, None), (0.7, None), (0.9, None), (None, None), ) <NEW_LINE> <DEDENT> def __call__(self, image, boxes=None, labels=None): <NEW_LINE> <INDENT> height, width, _ = image.shape <NEW_LI... | Crop
Arguments:
img (Image): the image being input during training
boxes (Tensor): the original bounding boxes in pt form
labels (Tensor): the class labels for each bbox
mode (float tuple): the min and max jaccard overlaps
Return:
(img, boxes, classes)
img (Image): the cropped image
... | 62598f4f796e427e5384db85 |
@gin.configurable <NEW_LINE> class NormalizedConv1D(tf.keras.layers.Layer): <NEW_LINE> <INDENT> def __init__(self, filters: int, kernel_size: int, strides: int, padding: int, use_bias: bool, input_shape: Tuple[int], kernel_initializer, kernel_regularizer, name: str, trainable): <NEW_LINE> <INDENT> super().__init__(name... | A Conv1D which kernel is forced to have L2 norm of 1. | 62598f4f167d2b6e312b6373 |
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