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class InputHandlerEvent(object): <NEW_LINE> <INDENT> deserialized_types = { 'name': 'str', 'input_events': 'list[ask_sdk_model.services.game_engine.input_event.InputEvent]' } <NEW_LINE> attribute_map = { 'name': 'name', 'input_events': 'inputEvents' } <NEW_LINE> def __init__(self, name=None, input_events=None): <NEW_LI...
:param name: The name of the event as you defined it in your GameEngine.StartInputHandler directive. :type name: (optional) str :param input_events: A chronologically ordered report of the raw Button Events that contributed to this Input Handler Event. :type input_events: (optional) list[ask_sdk_model.services.game_eng...
62598fbe7047854f4633f5c5
class SSD1351(DisplaySPI): <NEW_LINE> <INDENT> _COLUMN_SET = _SETCOLUMN <NEW_LINE> _PAGE_SET = _SETROW <NEW_LINE> _RAM_WRITE = _WRITERAM <NEW_LINE> _RAM_READ = _READRAM <NEW_LINE> _INIT = ( (_COMMANDLOCK, b"\x12"), (_COMMANDLOCK, b"\xb1"), (_DISPLAYOFF, b""), (_DISPLAYENHANCE, b"\xa4\x00\x00"), (_CLOCKDIV, b"\xf0"), (_...
A simple driver for the SSD1351-based displays. >>> import busio >>> import digitalio >>> import board >>> from adafruit_rgb_display import color565 >>> import adafruit_rgb_display.ssd1351 as ssd1351 >>> spi = busio.SPI(clock=board.SCK, MOSI=board.MOSI, MISO=board.MISO) >>> display = ssd1351.SSD1351(spi, cs=digitalio....
62598fbee5267d203ee6baf1
class BreslowFlemingHarringtonFitter(object): <NEW_LINE> <INDENT> def __init__(self, alpha=0.95): <NEW_LINE> <INDENT> self.alpha = alpha <NEW_LINE> <DEDENT> def fit(self, durations, event_observed=None, timeline=None, entry=None, label='BFH-estimate', alpha=None): <NEW_LINE> <INDENT> naf = NelsonAalenFitter(self.alpha)...
Class for fitting the Breslow-Fleming-Harrington estimate for the survival function. This estimator is a biased estimator of the survival function but is more stable when the popualtion is small and there are too few early truncation times, it may happen that is the number of patients at risk and the number of death...
62598fbe7d43ff24874274fd
class FilterQueue(object): <NEW_LINE> <INDENT> def __init__(self, bloomd_client=None, crawler_name=None, capacity=1e8, prob=1e-5): <NEW_LINE> <INDENT> if bloomd_client is None: <NEW_LINE> <INDENT> raise FilterError("bloomd_client cannot be None") <NEW_LINE> <DEDENT> if crawler_name is None: <NEW_LINE> <INDENT> raise Fi...
We use this class to define interface to check where url is crawled or not. We use bloomd server on backend currently.
62598fbe60cbc95b0636452f
class NoSuchDriverError(BaseError): <NEW_LINE> <INDENT> pass
Drastic Base Exception.
62598fbe56ac1b37e63023e0
class Visitor(ast.NodeVisitor): <NEW_LINE> <INDENT> def __init__(self, lines): <NEW_LINE> <INDENT> self.parent = self.top = ModuleDecl('', 0) <NEW_LINE> self.lines = lines <NEW_LINE> self.last_lineno = 1 <NEW_LINE> self.closing_decls = [] <NEW_LINE> <DEDENT> def visitdecl(self, node, cls): <NEW_LINE> <INDENT> decl = cl...
Create a Decl tree from a Python abstract syntax tree.
62598fbe4428ac0f6e658715
class Armor(Item): <NEW_LINE> <INDENT> @staticmethod <NEW_LINE> def Chestplate() -> Armor: <NEW_LINE> <INDENT> return Armor("Chestplate", 5) <NEW_LINE> <DEDENT> def __init__(self, name: str, defense: int) -> None: <NEW_LINE> <INDENT> super().__init__(name) <NEW_LINE> self.defense = defense
Represents an armor item.
62598fbefff4ab517ebcd9d7
class InvalidPaginationToken(Route53ClientError): <NEW_LINE> <INDENT> code = 400 <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> message = ( "Route 53 can't get the next page of query logging configurations " "because the specified value for NextToken is invalid." ) <NEW_LINE> super().__init__("InvalidPaginationToke...
Bad NextToken specified when listing query logging configs.
62598fbecc40096d6161a2d2
class MapRelativeVectorSpaceToRelativeNumberField(NumberFieldIsomorphism): <NEW_LINE> <INDENT> def __init__(self, V, K): <NEW_LINE> <INDENT> NumberFieldIsomorphism.__init__(self, Hom(V, K)) <NEW_LINE> <DEDENT> def _call_(self, v): <NEW_LINE> <INDENT> K = self.codomain() <NEW_LINE> B = K.base_field().absolute_field('a')...
EXAMPLES:: sage: L.<b> = NumberField(x^4 + 3*x^2 + 1) sage: K = L.relativize(L.subfields(2)[0][1], 'a'); K Number Field in a with defining polynomial x^2 - b0*x + 1 over its base field sage: V, fr, to = K.relative_vector_space() sage: V Vector space of dimension 2 over Number Field in b0 with d...
62598fbedc8b845886d537ad
class SimpleVirus(object): <NEW_LINE> <INDENT> def __init__(self, maxBirthProb, clearProb): <NEW_LINE> <INDENT> self.maxBirthProb = maxBirthProb <NEW_LINE> self.clearProb = clearProb <NEW_LINE> <DEDENT> def getMaxBirthProb(self): <NEW_LINE> <INDENT> return self.maxBirthProb <NEW_LINE> <DEDENT> def getClearProb(self): <...
Representation of a simple virus (does not model drug effects/resistance).
62598fbecc0a2c111447b200
class SoundFile: <NEW_LINE> <INDENT> def __init__(self, filepath, volume=1): <NEW_LINE> <INDENT> self.filepath = filepath <NEW_LINE> self.volume = volume <NEW_LINE> <DEDENT> async def play(self, client, channel): <NEW_LINE> <INDENT> voice = await client.join_voice_channel(channel) <NEW_LINE> player = voice.create_ffmpe...
A class representing a sound file
62598fbe167d2b6e312b7169
class ValueEstimator(): <NEW_LINE> <INDENT> def __init__(self, learning_rate=0.1, scope="value_estimator"): <NEW_LINE> <INDENT> with tf.variable_scope(scope): <NEW_LINE> <INDENT> self.state = tf.placeholder(tf.int32, [], "state") <NEW_LINE> self.target = tf.placeholder(dtype=tf.float32, name="target") <NEW_LINE> state_...
Value Function approximator.
62598fbe97e22403b383b0fc
class DdosProtectionPlan(msrest.serialization.Model): <NEW_LINE> <INDENT> _validation = { 'id': {'readonly': True}, 'name': {'readonly': True}, 'type': {'readonly': True}, 'etag': {'readonly': True}, 'resource_guid': {'readonly': True}, 'provisioning_state': {'readonly': True}, 'virtual_networks': {'readonly': True}, }...
A DDoS protection plan in a resource group. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource ID. :vartype id: str :ivar name: Resource name. :vartype name: str :ivar type: Resource type. :vartype type: str :param location: Resource location. :type location: st...
62598fbeadb09d7d5dc0a771
class zAttr(Attr): <NEW_LINE> <INDENT> ENTRY_ = const.zENTRY_ <NEW_LINE> ENTRY_DATA_ = const.zENTRY_DATA_ <NEW_LINE> SCOPE = const.VARIABLE_SCOPE <NEW_LINE> ENTRY_EXISTENCE_ = const.zENTRY_EXISTENCE_ <NEW_LINE> ATTR_NUMENTRIES_ = const.ATTR_NUMzENTRIES_ <NEW_LINE> ATTR_MAXENTRY_ = const.ATTR_MAXzENTRY_ <NEW_LINE> ENTRY...
zAttribute for zVariables within a CDF. .. warning:: Because zAttributes are shared across all variables in a CDF, directly manipulating them may have unexpected consequences. It is safest to operate on zEntries via :class:`zAttrList`. .. note:: When accessing a zAttr, pyCDF exposes only the zEntry co...
62598fbe66656f66f7d5a5e7
class BatchTuner(Tuner): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.count = -1 <NEW_LINE> self.values = [] <NEW_LINE> <DEDENT> def is_valid(self, search_space): <NEW_LINE> <INDENT> if not len(search_space) == 1: <NEW_LINE> <INDENT> raise RuntimeError('BatchTuner only supprt one combined-paramreter...
BatchTuner is tuner will running all the configure that user want to run batchly. The search space only be accepted like: { 'combine_params': { '_type': 'choice', '_value': '[{...}, {...}, {...}]', } }
62598fbe56ac1b37e63023e2
class CueSheetTrack(object): <NEW_LINE> <INDENT> def __init__(self, track_number, start_offset, isrc='', type_=0, pre_emphasis=False): <NEW_LINE> <INDENT> self.track_number = track_number <NEW_LINE> self.start_offset = start_offset <NEW_LINE> self.isrc = isrc <NEW_LINE> self.type = type_ <NEW_LINE> self.pre_emphasis = ...
CueSheetTrack() A track in a cuesheet. For CD-DA, track_numbers must be 1-99, or 170 for the lead-out. Track_numbers must be unique within a cue sheet. There must be atleast one index in every track except the lead-out track which must have none. Attributes: track_number (`int`): track number start_offset (`...
62598fbe99fddb7c1ca62ee6
@python_2_unicode_compatible <NEW_LINE> class Submit(models.Model): <NEW_LINE> <INDENT> receiver = models.ForeignKey(SubmitReceiver) <NEW_LINE> user = models.ForeignKey(django_settings.AUTH_USER_MODEL) <NEW_LINE> time = models.DateTimeField(auto_now_add=True) <NEW_LINE> filename = models.CharField(max_length=128, blank...
Submit holds information about user-submitted data.
62598fbe21bff66bcd722e5e
class Contact_info(models.Model): <NEW_LINE> <INDENT> address = models.CharField(verbose_name='地址', max_length=30) <NEW_LINE> phone_regex = RegexValidator(regex=r'^\+?1?\d{9,15}$', message="号码格式不正确") <NEW_LINE> phone_number = models.CharField('手机号码', max_length=20, validators=[phone_regex], blank=True) <NEW_LINE> custo...
联系方式
62598fbe377c676e912f6e6c
class LDIFDeltaModificationMissingEndDashError(ldifprotocol.LDIFParseError): <NEW_LINE> <INDENT> pass
LDIF delta modification has no ending dash.
62598fbebf627c535bcb169a
class LatencyAwareRequestSimulator(object): <NEW_LINE> <INDENT> def __init__( self, worker_desc, load_balancer, latency_fn, number_of_requests, request_per_s): <NEW_LINE> <INDENT> self.worker_desc = worker_desc <NEW_LINE> self.load_balancer = load_balancer <NEW_LINE> self.latency_fn = latency_fn <NEW_LINE> self.number_...
Simulates a M/G/k process common in request processing (computing) :param worker_desc: A list of ints of capacities to construct workers with :param local_balancer: A function which takes the current request number the list of workers and the request time and returns the index of the worker to send the next re...
62598fbe76e4537e8c3ef79b
class AbstractGameUnit(metaclass=ABCMeta): <NEW_LINE> <INDENT> def __init__(self, name=''): <NEW_LINE> <INDENT> self.max_hp = 0 <NEW_LINE> self.health_meter = 0 <NEW_LINE> self.name = name <NEW_LINE> self.enemy = None <NEW_LINE> self.unit_type = None <NEW_LINE> <DEDENT> @abstractmethod <NEW_LINE> def info(self): <NEW_L...
An Abstract base class for creating various game characters
62598fbe4f6381625f1995bc
class SmartFormatBaseException(Exception): <NEW_LINE> <INDENT> pass
Base for every SmartFormat template tag exceptions.
62598fbe283ffb24f3cf3a78
class IfNode(Node): <NEW_LINE> <INDENT> def __init__(self, predicate): <NEW_LINE> <INDENT> self.predicate = predicate <NEW_LINE> self.child = None <NEW_LINE> <DEDENT> def set_child(self, child): <NEW_LINE> <INDENT> self.child = child <NEW_LINE> <DEDENT> def evaluate(self, context): <NEW_LINE> <INDENT> if eval(self.pred...
Renders content if predicate
62598fbe5fdd1c0f98e5e187
class ParseOFX(IPlugin): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.is_activated = False <NEW_LINE> <DEDENT> def build_journal(self, ofx_file, config): <NEW_LINE> <INDENT> tree = OFXTree() <NEW_LINE> tree.parse(ofx_file) <NEW_LINE> ofx_obj = tree.convert() <NEW_LINE> stop_words = config.get('stop_...
OFX file parsing.
62598fbe2c8b7c6e89bd39b6
class SystemDCache(object): <NEW_LINE> <INDENT> _cache = None <NEW_LINE> @staticmethod <NEW_LINE> def get(): <NEW_LINE> <INDENT> if SystemDCache._cache is None: <NEW_LINE> <INDENT> SystemDCache._cache = [] <NEW_LINE> out = check_run_cmd("systemctl", "list-units", "-q", "--full", "--type=service", "--system", "--no-page...
Global cache to list SystemD units named ssh tunnel
62598fbeaad79263cf42e9cb
class Course(db.Model): <NEW_LINE> <INDENT> __tablename__ = 'courses' <NEW_LINE> id = db.Column(db.Integer, primary_key=True) <NEW_LINE> course_name = db.Column(db.Unicode(32),unique=True,index=True) <NEW_LINE> course_credit = db.Column(db.Integer) <NEW_LINE> course_college = db.Column(db.Unicode(32))
课程表,存储所有课程信息
62598fbe4527f215b58ea0c4
class EventList(): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self._evtlist = list() <NEW_LINE> <DEDENT> def append(self, object): <NEW_LINE> <INDENT> self._evtlist.append(object) <NEW_LINE> <DEDENT> def getEventListToRawData(self): <NEW_LINE> <INDENT> out = [] <NEW_LINE> for day in self._evtlist: <NEW...
イベントリストを格納するリストオブジェクト
62598fbea8370b77170f05d6
class HTTPException(DiscodoException): <NEW_LINE> <INDENT> def __init__(self, status: int, data=None) -> None: <NEW_LINE> <INDENT> if not data: <NEW_LINE> <INDENT> data = {} <NEW_LINE> <DEDENT> self.status = data.get("status", status) <NEW_LINE> self.description = data.get( "description", responses.get(status, "Unknown...
Exception that is thrown when HTTP operation failed. :var int status: HTTP status code :var str description: Description of the HTTP status code :var str message: Server message with this request
62598fbe5fc7496912d48376
class PrivateDnsZoneConfig(msrest.serialization.Model): <NEW_LINE> <INDENT> _validation = { 'id': {'readonly': True}, 'type': {'readonly': True}, 'etag': {'readonly': True}, 'provisioning_state': {'readonly': True}, 'record_sets': {'readonly': True}, } <NEW_LINE> _attribute_map = { 'name': {'key': 'name', 'type': 'str'...
PrivateDnsZoneConfig resource. Variables are only populated by the server, and will be ignored when sending a request. :param name: Name of the resource that is unique within a resource group. This name can be used to access the resource. :type name: str :ivar id: The id of the privateDnsZoneConfig. :vartype id: str...
62598fbef9cc0f698b1c53ca
class SupportedRuntimePlatform(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): <NEW_LINE> <INDENT> JAVA = "Java" <NEW_LINE> _NET_CORE = ".NET Core"
The platform of this runtime version (possible values: "Java" or ".NET").
62598fbe99fddb7c1ca62ee7
class Mailwrapper(Gmail): <NEW_LINE> <INDENT> def __init__(self, gm): <NEW_LINE> <INDENT> self.attachments = gm.attachments <NEW_LINE> self.body = gm.body <NEW_LINE> self.to = gm.to <NEW_LINE> self.cc = gm.cc <NEW_LINE> self.flags = gm.flags <NEW_LINE> self.headers = gm.headers <NEW_LINE> self.message_id = gm.message_i...
Wrapper per selezionare i soli campi d'interesse dalle mail e salvarle in un file json
62598fbedc8b845886d537b1
class AtRule(object): <NEW_LINE> <INDENT> def __init__(self, at_keyword, head, body, line, column): <NEW_LINE> <INDENT> self.at_keyword = at_keyword <NEW_LINE> self.head = TokenList(head) <NEW_LINE> self.body = TokenList(body) if body is not None else body <NEW_LINE> self.line = line <NEW_LINE> self.column = column <NE...
An unparsed at-rule. .. attribute:: at_keyword The normalized (lower-case) at-keyword as a string. Eg: ``'@page'`` .. attribute:: head The part of the at-rule between the at-keyword and the ``{`` marking the body, or the ``;`` marking the end of an at-rule without a body. A :class:`~.token_data.Tok...
62598fbe7c178a314d78d696
class ShowHighlight(Mbase_subcmd.DebuggerSubcommand): <NEW_LINE> <INDENT> short_help = 'Show if we use terminal highlight' <NEW_LINE> def run(self, args): <NEW_LINE> <INDENT> val = self.settings['highlight'] <NEW_LINE> if 'plain' == val: <NEW_LINE> <INDENT> mess = 'output set to not use terminal escape sequences' <NEW_...
**show highlight** Show whether we use terminal highlighting. See also: -------- `set highlight`
62598fbe63d6d428bbee29a8
class MockedUser: <NEW_LINE> <INDENT> def __init__(self, username): <NEW_LINE> <INDENT> self.username = username <NEW_LINE> self.top_artists = []
mocks query_user reponse
62598fbe7047854f4633f5cb
class Transformations(object): <NEW_LINE> <INDENT> def mean_at_zero(self, arr): <NEW_LINE> <INDENT> return np.array([i - np.mean(a) for i in arr]) <NEW_LINE> <DEDENT> def norm_to_min_zero(self, arr): <NEW_LINE> <INDENT> return np.array([i / max(a) for i in arr]) <NEW_LINE> <DEDENT> def norm_to_absolute_min_zero(self, a...
since these transformations are all related, we'll nest them all under a feature norm class
62598fbe0fa83653e46f50db
class AsciiToImage(object): <NEW_LINE> <INDENT> def __init__(self, **kw): <NEW_LINE> <INDENT> self._font = kw.get('font', pkg_resources.resource_filename( 'mediagoblin.media_types.ascii', os.path.join('fonts', 'Inconsolata.otf'))) <NEW_LINE> self._font_size = kw.get('font_size', 11) <NEW_LINE> self._if = ImageFont.true...
Converter of ASCII art into image files, preserving whitespace kwargs: - font: Path to font file default: fonts/Inconsolata.otf - font_size: Font size, ``int`` default: 11
62598fbe26068e7796d4cb53
class Meta2Rebuild(SingleServiceCommandMixin, XcuteRdirCommand): <NEW_LINE> <INDENT> JOB_CLASS = Meta2RebuildJob <NEW_LINE> def get_parser(self, prog_name): <NEW_LINE> <INDENT> parser = super(Meta2Rebuild, self).get_parser(prog_name) <NEW_LINE> SingleServiceCommandMixin.patch_parser(self, parser) <NEW_LINE> parser.add_...
[BETA] Rebuild bases that were on the specified service.
62598fbe099cdd3c636754de
@admin.register(models.FBARegion) <NEW_LINE> class FBARegionAdmin(admin.ModelAdmin): <NEW_LINE> <INDENT> fields = [ "name", "default_country", "postage_price", "max_weight", "max_size", "fulfillment_unit", "currency", "auto_close", "warehouse_required", ] <NEW_LINE> list_display = [ "name", "default_country", "postage_...
Model admin for the FBARegion model.
62598fbeaad79263cf42e9cc
class ParserNode: <NEW_LINE> <INDENT> def __init__(self, grammar, begin, prior, visual): <NEW_LINE> <INDENT> self.grammar = grammar <NEW_LINE> self.begin = begin <NEW_LINE> self.prior = prior <NEW_LINE> self.visual = visual <NEW_LINE> <DEDENT> def debug_log(self, out, indent, data): <NEW_LINE> <INDENT> out( "%sParserNo...
A parser node represents a span of grammar. i.e. from this point to that point is HTML. Another parser node would represent the next segment, of grammar (maybe JavaScript, CSS, comment, or quoted string for example.
62598fbe796e427e5384e98d
class WindowState: <NEW_LINE> <INDENT> def __init__(self, window_state): <NEW_LINE> <INDENT> self.x = window_state[3] <NEW_LINE> alerts_data = window_state[1] <NEW_LINE> if alerts_data is not None: <NEW_LINE> <INDENT> alerts = alerts_data[1] <NEW_LINE> self.alerts = [ Alert(alert_data) for alert_data in alerts ] <NEW_L...
Represents the window.STATE variable in the Google Alerts page. This variable is a Javascript array containing all information regarding every alert, information about the logged in user account and some other information as well.
62598fbe7cff6e4e811b5c1a
class RsaModel(ModelBase): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super(RsaModel, self).__init__() <NEW_LINE> self.model_param = RsaParam() <NEW_LINE> <DEDENT> def fit(self, data_inst): <NEW_LINE> <INDENT> LOGGER.info("RsaModel start fit...") <NEW_LINE> LOGGER.debug("data_inst={}, count={}".format(...
encrypt data using RSA Parameters ---------- RsaParam : object, self-define id_process parameters, define in federatedml.param.rsa_param
62598fbed7e4931a7ef3c28b
class BatchProcessingCommand(BaseCommand): <NEW_LINE> <INDENT> def add_arguments(self, parser): <NEW_LINE> <INDENT> parser.add_argument('fields', nargs='+', help="A sequence of " "model-field name pairs in the form 'Model.field'") <NEW_LINE> <DEDENT> def precondition_check(self, options, model, field): <NEW_LINE> <INDE...
A ``BatchProcessingCommand`` provides utilities for manipulating a sequence of fields, which would be useful for cleaning or exporting data.
62598fbeff9c53063f51a846
class Test: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> <DEDENT> def test_func(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def next_test_func(self): <NEW_LINE> <INDENT> pass
class doc string
62598fbe3317a56b869be64b
class Operator(object): <NEW_LINE> <INDENT> @classmethod <NEW_LINE> def display(cls): <NEW_LINE> <INDENT> game.set_board('lower') <NEW_LINE> game.grid.draw_board() <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def spawn(cls): <NEW_LINE> <INDENT> game.set_board('upper') <NEW_LINE> game.grid.draw_board() <NEW_LINE> <DEDENT...
Handles receiving, parsing, and triaging incoming signals
62598fbee1aae11d1e7ce921
class permutation_dict(dict): <NEW_LINE> <INDENT> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> super().__init__(*args, **kwargs) <NEW_LINE> self._phook_setitem_ = lambda key, val: val <NEW_LINE> self._phook_getitem_ = lambda key, val: val <NEW_LINE> <DEDENT> def __setitem__(self, arg, val): <NEW_LINE> <INDE...
A modification of dict. Tuple keys are considered equal, if the first can be obtained by permuting the second. For example (1, 3, 2, 0) == (0, 1, 2, 3) Also, hooks for __getitem__ and __setitem__ are provided.
62598fbecc40096d6161a2d5
class CharacterStatistics(models.Model): <NEW_LINE> <INDENT> name = models.CharField(max_length=255) <NEW_LINE> damage = models.IntegerField() <NEW_LINE> icon = models.CharField(max_length=255) <NEW_LINE> rarity = models.CharField(max_length=20)
To be changed
62598fbe5166f23b2e2435d7
class UNet(nn.Module): <NEW_LINE> <INDENT> def __init__(self, num_classes, num_filters=32, pretrained=True): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.resnet = resnet50(pretrained=pretrained) <NEW_LINE> self.enc0 = nn.Sequential(self.resnet.conv1, self.resnet.bn1, self.resnet.relu, self.resnet.maxpool) <NE...
The "U-Net" architecture for semantic segmentation, adapted by changing the encoder to a ResNet feature extractor. Also known as AlbuNet due to its inventor Alexander Buslaev.
62598fbea8370b77170f05d9
class TaskStatus(object): <NEW_LINE> <INDENT> NONE = SimpleString("None") <NEW_LINE> READY = SimpleString("Ready") <NEW_LINE> QUEUE = SimpleString("Queue") <NEW_LINE> RUNNING = SimpleString("Running") <NEW_LINE> STOPPING = SimpleString("Stopping") <NEW_LINE> STOPPED = SimpleString("Stopped") <NEW_LINE> INVALID = Simple...
add in version 0.1.19
62598fbedc8b845886d537b3
class Int(SimpleSpace): <NEW_LINE> <INDENT> def __init__(self, lower, upper, default=None): <NEW_LINE> <INDENT> self.lower = lower <NEW_LINE> self.upper = upper <NEW_LINE> self._default = default <NEW_LINE> <DEDENT> def get_hp(self, name): <NEW_LINE> <INDENT> return CSH.UniformIntegerHyperparameter(name=name, lower=sel...
Search space for numeric hyperparameter that takes integer values. Parameters ---------- lower : int The lower bound of the search space (minimum possible value of hyperparameter) upper : int The upper bound of the search space (maximum possible value of hyperparameter) default : int (optional) Default val...
62598fbe4a966d76dd5ef0cc
class IdentityCache(Cache): <NEW_LINE> <INDENT> def __init__(self, django_session): <NEW_LINE> <INDENT> self._db = DjangoSessionCacheAdapter(django_session, '_identities') <NEW_LINE> self._sync = True <NEW_LINE> <DEDENT> def get(self, name_id, entity_id, *args, **kwargs): <NEW_LINE> <INDENT> info = super(IdentityCache,...
Handles information about the users that have been succesfully logged in. This information is useful because when the user logs out we must know where does he come from in order to notify such IdP/AA. The current implementation stores this information in the Django session.
62598fbe71ff763f4b5e7974
class ExecutorDriverThread(ExceptionalThread): <NEW_LINE> <INDENT> def __init__(self, driver): <NEW_LINE> <INDENT> self._driver = driver <NEW_LINE> super(ExecutorDriverThread, self).__init__() <NEW_LINE> <DEDENT> def run(self): <NEW_LINE> <INDENT> self._driver.run()
Start the executor and wait until it is stopped. This is decoupled from the main thread, because only the main thread can receive signals and we would miss those when blocking in the driver run method.
62598fbe63b5f9789fe8536a
class MiningJob: <NEW_LINE> <INDENT> def __init__(self, previous_block: Block, pending_txs: List[Transaction]): <NEW_LINE> <INDENT> self.previous_block = previous_block <NEW_LINE> self.pending_txs = pending_txs <NEW_LINE> data = { 'txs': [dataclasses.asdict(_) for _ in self.pending_txs], } <NEW_LINE> self.block = Block...
CPU挖矿的一个工作
62598fbe0fa83653e46f50de
class OperationNameNode(Node): <NEW_LINE> <INDENT> def __init__(self, ident): <NEW_LINE> <INDENT> self.ident = ident
A Node which represents the name of an operation in the AST.
62598fbe50812a4eaa620ce7
class TeachingUsePropertyCode(models.Model): <NEW_LINE> <INDENT> code = models.CharField(primary_key=True, max_length=2, verbose_name=u"代码") <NEW_LINE> name = models.CharField(unique=True, max_length=32, verbose_name=u"名称") <NEW_LINE> def __unicode__(self): <NEW_LINE> <INDENT> return self.name
教学使用性质
62598fbe44b2445a339b6a73
class LocationComparator: <NEW_LINE> <INDENT> def __init__(self, posting_location, candidate_locations): <NEW_LINE> <INDENT> self.api_key = "AIzaSyDbkAJndXb-HX6cj4LYYaB8Nm98DmI3D7Y" <NEW_LINE> self.posting_location = posting_location <NEW_LINE> self.candidate_locations = [] <NEW_LINE> self.max_distance = 100000 <NEW_LI...
This class uses the google maps api to compare the different locations offered by the user against the location specified for the posting by the employer
62598fbed486a94d0ba2c1ca
class CannotRedefineSnipIDError(SnippetError): <NEW_LINE> <INDENT> def __init__(self, snippet): <NEW_LINE> <INDENT> msg = ('Attempted to overwrite snip_id {} for snippet {} ' '(has this snippet already been committed?)' ).format(snippet.snip_id, str(snippet)) <NEW_LINE> super(CannotRedefineSnipIDError, self).__init__(s...
Attempted to redefine snip_id in committed snippet
62598fbe3346ee7daa337745
class MathBlock(Block): <NEW_LINE> <INDENT> def __init__(self, parent, idevice): <NEW_LINE> <INDENT> Block.__init__(self, parent, idevice) <NEW_LINE> self.contentElement = MathElement(idevice.content) <NEW_LINE> self.contentElement.height = 250 <NEW_LINE> <DEDENT> def process(self, request): <NEW_LINE> <INDENT> Block.p...
MathBlock can render and process MathIdevices as XHTML
62598fbe21bff66bcd722e64
class Thing(Response): <NEW_LINE> <INDENT> _validation = { '_type': {'required': True}, 'id': {'readonly': True}, 'web_search_url': {'readonly': True}, 'name': {'readonly': True}, 'url': {'readonly': True}, 'image': {'readonly': True}, 'description': {'readonly': True}, 'bing_id': {'readonly': True}, } <NEW_LINE> _attr...
Thing. You probably want to use the sub-classes and not this class directly. Known sub-classes are: CreativeWork, Intangible Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param _type: Required. Constant f...
62598fbebe7bc26dc9251f59
class TestOWLUnaryPropertyAxiom(TestCase): <NEW_LINE> <INDENT> pass
OWLUnaryPropertyAxiom test cases
62598fbed268445f26639c81
class XNORGate(Block): <NEW_LINE> <INDENT> def __init__(self,system,numInput,sizeInput): <NEW_LINE> <INDENT> self.numInput = numInput <NEW_LINE> self.name = "XNOR_GATE" <NEW_LINE> self.sizeInput = sizeInput <NEW_LINE> input_vector = [sizeInput]*self.numInput <NEW_LINE> output_vector = [sizeInput] <NEW_LINE> super().__i...
XNOR Gate PORTS SPECIFICATIONS
62598fbe4527f215b58ea0c8
class JobRepository(JobRepositoryInterface): <NEW_LINE> <INDENT> def find(self, uuid: 'UUID') -> Job: <NEW_LINE> <INDENT> return self._find({'uuid': uuid}) <NEW_LINE> <DEDENT> def create(self, **kwargs) -> Job: <NEW_LINE> <INDENT> return Job.objects.create(**kwargs) <NEW_LINE> <DEDENT> def get_or_create(self, **kwargs)...
Implementation of the interface that define operations over the database.
62598fbe091ae35668704e1f
class Light: <NEW_LINE> <INDENT> def __init__(self, device, index): <NEW_LINE> <INDENT> self.device = device <NEW_LINE> self.index = index <NEW_LINE> <DEDENT> @property <NEW_LINE> def state(self): <NEW_LINE> <INDENT> return self.raw.get(ATTR_LIGHT_STATE) == 1 <NEW_LINE> <DEDENT> @property <NEW_LINE> def dimmer(self): <...
Represent a light control. https://github.com/IPSO-Alliance/pub/blob/master/docs/IPSO-Smart-Objects.pdf
62598fbe9f28863672818978
class AgeInsight(DemographicInsight): <NEW_LINE> <INDENT> def __init__(self, percentage=None, age=None, **kwargs): <NEW_LINE> <INDENT> super(AgeInsight, self).__init__(percentage=percentage, **kwargs) <NEW_LINE> self.age = age
AgeInsight.
62598fbe3d592f4c4edbb0b9
class _TSeenSecondary(typing.NamedTuple): <NEW_LINE> <INDENT> schema_name: str <NEW_LINE> property_name: str
Records information about the secondary that has been seen.
62598fbe7047854f4633f5cf
class VirusTotalWhoisDialog(QDialog, Ui_VirusTotalWhoisDialog): <NEW_LINE> <INDENT> def __init__(self, domain, whois, parent=None): <NEW_LINE> <INDENT> super(VirusTotalWhoisDialog, self).__init__(parent) <NEW_LINE> self.setupUi(self) <NEW_LINE> self.headerLabel.setText( self.tr("<b>Whois information for domain {0}</b>"...
Class implementing a dialog to show the 'whois' information.
62598fbeec188e330fdf8a8d
class DataProject(Base): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> @staticmethod <NEW_LINE> def cast(arg): <NEW_LINE> <INDENT> return DataProject() <NEW_LINE> <DEDENT> @property <NEW_LINE> def name(self): <NEW_LINE> <INDENT> return str() <NEW_LINE> <DEDENT> @name.setter <NEW_L...
Represents the master branch project within a hub.
62598fbe55399d3f05626711
class GRUCell(RNNCellBase): <NEW_LINE> <INDENT> def __init__(self, input_size: int, hidden_size: int, bias: bool = True): <NEW_LINE> <INDENT> super().__init__(input_size, hidden_size, bias, num_chunks=3) <NEW_LINE> <DEDENT> def construct(self, inputs, hx): <NEW_LINE> <INDENT> return gru_cell(inputs, hx, self.weight_ih,...
A GRU(Gated Recurrent Unit) cell. .. math:: \begin{array}{ll} r = \sigma(W_{ir} x + b_{ir} + W_{hr} h + b_{hr}) \\ z = \sigma(W_{iz} x + b_{iz} + W_{hz} h + b_{hz}) \\ n = \tanh(W_{in} x + b_{in} + r * (W_{hn} h + b_{hn})) \\ h' = (1 - z) * n + z * h \end{array} Here :math:`\sigma` is the sig...
62598fbe5fdd1c0f98e5e18d
class PredPreyEnv(se.SpatialEnv): <NEW_LINE> <INDENT> repop = True <NEW_LINE> def __init__(self, name, length, height, preact=True, postact=True, model_nm="predprey_model"): <NEW_LINE> <INDENT> super().__init__(name, length, height, preact, postact, model_nm=model_nm) <NEW_LINE> self.agents.set_num_zombies(self.props.g...
This class creates an environment for predators to chase and eat prey
62598fbe7d43ff2487427502
class RebootTest(base_test.BaseTestClass): <NEW_LINE> <INDENT> def setUpClass(self): <NEW_LINE> <INDENT> self.dut = self.android_devices[0] <NEW_LINE> <DEDENT> def testReboot(self): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> self.dut.reboot() <NEW_LINE> self.dut.waitForBootCompletion() <NEW_LINE> <DEDENT> except util...
Tests if device survives reboot. Attributes: dut: AndroidDevice, the device under test as config
62598fbea8370b77170f05dc
@python_2_unicode_compatible <NEW_LINE> class SurveyForm(TimeStampedModel): <NEW_LINE> <INDENT> name = models.CharField(max_length=255, db_index=True, unique=True) <NEW_LINE> form = models.TextField() <NEW_LINE> class Meta: <NEW_LINE> <INDENT> app_label = 'survey' <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDE...
Model to define a Survey Form that contains the HTML form data that is presented to the end user. A SurveyForm is not tied to a particular run of a course, to allow for sharing of Surveys across courses .. no_pii:
62598fbed7e4931a7ef3c290
class Session(object): <NEW_LINE> <INDENT> session_re = re.compile( r'^(?P<protocol>https?)://(?P<host>([a-z0-9-_])+(\.[a-z0-9-_]+){0,})(:(?P<port>\d{1,5}))?$' ) <NEW_LINE> def __init__(self, protocol, host, port=None): <NEW_LINE> <INDENT> self.protocol = protocol <NEW_LINE> self.host = host <NEW_LINE> if port is None:...
Elasticsearch session
62598fbe99fddb7c1ca62eea
class Interface: <NEW_LINE> <INDENT> def __init__(self, game): <NEW_LINE> <INDENT> self.game = game <NEW_LINE> pg.init() <NEW_LINE> self.window = pg.display.set_mode((640, 600)) <NEW_LINE> self.window.fill((230, 230, 230)) <NEW_LINE> pg.display.set_caption("MacGseyver Escape") <NEW_LINE> self.sprites = { FLOOR: pg.imag...
Control the view of the game using pygame
62598fbe5fdd1c0f98e5e18e
@ComponentFactory(FACTORY_REQUIRES_BEST) <NEW_LINE> @RequiresBest('service', IEchoService) <NEW_LINE> class RequiresBestComponentFactory(TestComponentFactory): <NEW_LINE> <INDENT> @Bind <NEW_LINE> def bind(self, svc, svc_ref): <NEW_LINE> <INDENT> self.states.append(IPopoEvent.BOUND) <NEW_LINE> <DEDENT> @Unbind <NEW_LIN...
Component factory with a RequiresBest requirement
62598fbe4527f215b58ea0ca
class SuiteEntryUpdateModel(Model): <NEW_LINE> <INDENT> _attribute_map = { 'child_suite_id': {'key': 'childSuiteId', 'type': 'int'}, 'sequence_number': {'key': 'sequenceNumber', 'type': 'int'}, 'test_case_id': {'key': 'testCaseId', 'type': 'int'} } <NEW_LINE> def __init__(self, child_suite_id=None, sequence_number=None...
SuiteEntryUpdateModel. :param child_suite_id: Id of child suite in a suite :type child_suite_id: int :param sequence_number: Updated sequence number for the test case or child suite in the suite :type sequence_number: int :param test_case_id: Id of a test case in a suite :type test_case_id: int
62598fbe091ae35668704e21
class NumpyToTensor(object): <NEW_LINE> <INDENT> def __call__(self, img): <NEW_LINE> <INDENT> x = torch.from_numpy(img) <NEW_LINE> return x
Converts numpy array to PyTorch tensor.
62598fbe442bda511e95c65b
class ResolutionEmailView(generic.DetailView): <NEW_LINE> <INDENT> model = ResolutionEmail
View to get the details of one resolution email
62598fbe66673b3332c305cf
@override_settings(EMAIL_BACKEND="anymail.backends.mailgun.EmailBackend") <NEW_LINE> class MailgunBackendImproperlyConfiguredTests(SimpleTestCase, AnymailTestMixin): <NEW_LINE> <INDENT> def test_missing_api_key(self): <NEW_LINE> <INDENT> with self.assertRaises(ImproperlyConfigured) as cm: <NEW_LINE> <INDENT> mail.send_...
Test ESP backend without required settings in place
62598fbe71ff763f4b5e7978
class MessageContactModel(S3Model): <NEW_LINE> <INDENT> names = ("msg_contact", ) <NEW_LINE> def model(self): <NEW_LINE> <INDENT> T = current.T <NEW_LINE> tablename = "msg_contact" <NEW_LINE> self.define_table(tablename, self.super_link("message_id", "msg_message"), self.msg_channel_id(), s3_datetime(default = "now"), ...
Contact Form
62598fbeec188e330fdf8a90
class AzureAsyncOperationResult(msrest.serialization.Model): <NEW_LINE> <INDENT> _attribute_map = { 'status': {'key': 'status', 'type': 'str'}, 'error': {'key': 'error', 'type': 'Error'}, } <NEW_LINE> def __init__( self, **kwargs ): <NEW_LINE> <INDENT> super(AzureAsyncOperationResult, self).__init__(**kwargs) <NEW_LINE...
The response body contains the status of the specified asynchronous operation, indicating whether it has succeeded, is in progress, or has failed. Note that this status is distinct from the HTTP status code returned for the Get Operation Status operation itself. If the asynchronous operation succeeded, the response bod...
62598fbe7b180e01f3e4914e
class ExtendedQLabel(QtGui.QLabel): <NEW_LINE> <INDENT> zoom = Signal(QtGui.QWheelEvent, name="zoom") <NEW_LINE> pan = Signal(QtGui.QMoveEvent, name="pan") <NEW_LINE> DELTA2 = 100 <NEW_LINE> def __init__(self, parent): <NEW_LINE> <INDENT> QtGui.QLabel.__init__(self, parent) <NEW_LINE> self.old_pos = None <NEW_LINE> <DE...
Extenstion for Qlabel with pan and zoom function used to display images
62598fbe55399d3f05626713
class TradeList(object): <NEW_LINE> <INDENT> def __init__(self, trades: list=None): <NEW_LINE> <INDENT> self.trades = trades or [] <NEW_LINE> <DEDENT> def add_trade(self, trade: Trade): <NEW_LINE> <INDENT> self.trades.append(trade) <NEW_LINE> <DEDENT> def get_trades_in_interval(self) -> list: <NEW_LINE> <INDENT> interv...
Contains a list of trade transactions, along with helper methods to process the transaction list
62598fbe656771135c48986c
class GitNameNotFound(ContinuousIntegrationException): <NEW_LINE> <INDENT> pass
Describes a missing Git Name.
62598fbe956e5f7376df577d
class Condition: <NEW_LINE> <INDENT> META_DATA_HEADER = "\t".join(["isTs", "is1stLast", "prevCol", "del.t", "condName"]) + "\n" <NEW_LINE> def __init__(self, condition_name, gene_mapping): <NEW_LINE> <INDENT> self.name = condition_name <NEW_LINE> self.gene_mapping = pd.Series(gene_mapping, name=condition_name) <NEW_LIN...
A condition maps gene names to numbers which often represent expression levels. Parameters ---------- condition_name: str A unique name identifying the condition. gene_mapping: pd.Series A pandas Series holding the gene to number mapping or an object that can be converted to a pandas Series.
62598fbe7cff6e4e811b5c20
class ParallelDevice(object): <NEW_LINE> <INDENT> def __init__(self, components): <NEW_LINE> <INDENT> global _next_device_number, _next_device_number_lock <NEW_LINE> self.components = tuple(components) <NEW_LINE> ctx = context.context() <NEW_LINE> with _next_device_number_lock: <NEW_LINE> <INDENT> self.name = "{}/devic...
A device which executes operations in parallel.
62598fbead47b63b2c5a7a53
class _ClippingPlaneRemoveAll(CommandManager): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super(_ClippingPlaneRemoveAll, self).__init__() <NEW_LINE> self.resources = { "Pixmap": "fem-clipping-plane-remove-all", "MenuText": QtCore.QT_TRANSLATE_NOOP( "FEM_ClippingPlaneRemoveAll", "Remove all clipping pla...
The FEM_ClippingPlaneemoveAll command definition
62598fbe796e427e5384e993
class UPCCodeGenerator(CCodeGenerator): <NEW_LINE> <INDENT> pass
A BRAID-style code generator for UPC.
62598fbe57b8e32f5250821c
class TestAddressResource(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 testAddressResource(self): <NEW_LINE> <INDENT> pass
AddressResource unit test stubs
62598fbe7d847024c075c5bb
class CustomUser(AbstractBaseUser): <NEW_LINE> <INDENT> name = models.CharField(_('name'), max_length=254, blank=True, default="") <NEW_LINE> email = models.EmailField(_('email address'), max_length=254, unique=True) <NEW_LINE> date_of_birth = models.DateField(blank=True, null=True) <NEW_LINE> is_staff = models.Boolean...
A custom user class that basically mirrors Django's `AbstractUser` class
62598fbe5166f23b2e2435dd
class ExactMarginalLogLikelihood(MarginalLogLikelihood): <NEW_LINE> <INDENT> def __init__(self, likelihood, model): <NEW_LINE> <INDENT> if not isinstance(likelihood, _GaussianLikelihoodBase): <NEW_LINE> <INDENT> raise RuntimeError("Likelihood must be Gaussian for exact inference") <NEW_LINE> <DEDENT> super(ExactMargina...
The exact marginal log likelihood (MLL) for an exact Gaussian process with a Gaussian likelihood. .. note:: This module will not work with anything other than a :obj:`~gpytorch.likelihoods.GaussianLikelihood` and a :obj:`~gpytorch.models.ExactGP`. It also cannot be used in conjunction with stochastic optim...
62598fbebe7bc26dc9251f5b
class EchoClient(protocol.Protocol): <NEW_LINE> <INDENT> def connectionMade(self): <NEW_LINE> <INDENT> self.transport.write(b"hello alex!") <NEW_LINE> <DEDENT> def dataReceived(self, data): <NEW_LINE> <INDENT> print("Server said:", data.decode()) <NEW_LINE> self.transport.loseConnection() <NEW_LINE> <DEDENT> def connec...
Once connected, send a message, then print the result.
62598fbefff4ab517ebcd9e3
class UnscentedTransform(object): <NEW_LINE> <INDENT> _sum = functools.partial(np.sum, axis=0) <NEW_LINE> def __init__(self, function): <NEW_LINE> <INDENT> assert isinstance(function, collections.Callable) <NEW_LINE> self._function = function <NEW_LINE> <DEDENT> def __call__(self, mean, covariance, *args, **kwargs): <N...
Implementation of the Unscented Transform of Julier and Uhlmann. The unscented transform propagates mean and covariance information through a non-linear function. An instance of this class is callable to apply the function to a vector of mean values and a covariance matrix, returning an output mean vector and covarian...
62598fbea8370b77170f05df
class MigrateMaterialsView(LoggedInFacultyMixin, AjaxRequiredMixin, JSONResponseMixin, View): <NEW_LINE> <INDENT> def get(self, request, *args, **kwargs): <NEW_LINE> <INDENT> course = get_object_or_404(Course, id=kwargs.pop('course_id', None)) <NEW_LINE> faculty = [user.id for user in course.faculty.all()] <NEW_LINE> f...
An ajax-only request to retrieve course information & materials from the perspective of the course faculty members. Returns: * Projects authored by faculty * Assets collected or annotated by faculty Example: /api/course/
62598fbe1f5feb6acb162e1e
class GANModule(nn.Module): <NEW_LINE> <INDENT> def __init__(self, generator:nn.Module=None, critic:nn.Module=None, gen_mode:bool=False): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.gen_mode = gen_mode <NEW_LINE> if generator: self.generator,self.critic = generator,critic <NEW_LINE> <DEDENT> def forward(self...
Wrapper around a `generator` and a `critic` to create a GAN.
62598fbe3d592f4c4edbb0bd
class Customer(): <NEW_LINE> <INDENT> def __init__(self, name, level, issue_type, issue): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> self.level = level <NEW_LINE> self.issue_type = issue_type <NEW_LINE> self.issue = issue <NEW_LINE> self.patience = randint(1, 100) <NEW_LINE> for i in range(0, 5): <NEW_LINE> <INDEN...
Defines the customer object
62598fbe71ff763f4b5e797a
class ViCommandDefBase(object): <NEW_LINE> <INDENT> _serializable = ['_inp',] <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> self.command = '<unset>' <NEW_LINE> self.input_parser = None <NEW_LINE> self._inp = '' <NEW_LINE> <DEDENT> def __getitem__(self, key): <NEW_LINE> <INDENT> return self.__dict__[key] <NEW_LINE>...
Base class for all Vim commands.
62598fbe60cbc95b0636453b
class HostState(BASE, StateMixin): <NEW_LINE> <INDENT> __tablename__ = 'host_state' <NEW_LINE> id = Column( Integer, ForeignKey('host.id', onupdate='CASCADE', ondelete='CASCADE'), primary_key=True ) <NEW_LINE> def __str__(self): <NEW_LINE> <INDENT> return 'HostState[%s state %s percentage %s]' % ( self.id, self.state, ...
Host state table.
62598fbe55399d3f05626715
class OptActionQuiet(ActionExt): <NEW_LINE> <INDENT> def __init__(self, option_strings, dest, nargs=None, **kwargs): <NEW_LINE> <INDENT> super(OptActionQuiet, self).__init__( option_strings, dest, nargs, **kwargs) <NEW_LINE> <DEDENT> def call(self, parser, namespace, values, option_string=None): <NEW_LINE> <INDENT> nam...
Suppress output --quiet
62598fbe656771135c48986e
class RepoReprTests(RepoTests): <NEW_LINE> <INDENT> def test_repr_works_correctly(self): <NEW_LINE> <INDENT> repo = Repo('/path/to/existing/repository') <NEW_LINE> repo_repr = repr(repo) <NEW_LINE> self.assertIsInstance(repo_repr, str) <NEW_LINE> self.assertEqual(eval(repo_repr), repo)
Tests for Repo.__repr__().
62598fbe5fdd1c0f98e5e191
class Postnet(torch.nn.Module): <NEW_LINE> <INDENT> def __init__( self, idim: int, odim: int, n_layers: int = 5, n_chans: int = 512, n_filts: int = 5, dropout_rate: float = 0.5, use_batch_norm: bool = True, ): <NEW_LINE> <INDENT> super(Postnet, self).__init__() <NEW_LINE> self.postnet = torch.nn.ModuleList() <NEW_LINE>...
Postnet module for Spectrogram prediction network. This is a module of Postnet in Spectrogram prediction network, which described in `Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions`_. The Postnet predicts refines the predicted Mel-filterbank of the decoder, which helps to compensate the de...
62598fbe4f6381625f1995c1
class CIFARDataset(Dataset): <NEW_LINE> <INDENT> def __init__(self, x, y, normal_class): <NEW_LINE> <INDENT> self.x = x <NEW_LINE> self.y = (y != normal_class).astype(float) <NEW_LINE> self.transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]...
load synthetic time series data
62598fbe4428ac0f6e658723