code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
|---|---|---|
class AttractionPoint(object): <NEW_LINE> <INDENT> def __init__(self, address, metric, node): <NEW_LINE> <INDENT> self._address = address <NEW_LINE> self.metric = metric <NEW_LINE> self.node = node <NEW_LINE> self.advertized = False <NEW_LINE> self.ttl = CFG.get(DEFAULTSECT, 'fake_lsa_ttl') <NEW_LINE> <DEDENT> @propert... | An attraction point for a fibbing route | 62598ee4d58c6744b42db5e5 |
class TerminologyCapabilitiesExpansion(backboneelement.BackboneElement): <NEW_LINE> <INDENT> resource_type = "TerminologyCapabilitiesExpansion" <NEW_LINE> def __init__(self, jsondict=None, strict=True): <NEW_LINE> <INDENT> self.hierarchical = None <NEW_LINE> self.incomplete = None <NEW_LINE> self.paging = None <NEW_LIN... | Information about the [ValueSet/$expand](valueset-operation-expand.html)
operation. | 62598ee4c432627299fa1614 |
class GraphProblemStochastic(GraphProblem): <NEW_LINE> <INDENT> def result(self, state, action): <NEW_LINE> <INDENT> return self.graph.get(state, action) <NEW_LINE> <DEDENT> def path_cost(): <NEW_LINE> <INDENT> raise NotImplementedError | A version of GraphProblem where an action can lead to
nondeterministic output i.e. multiple possible states.
Define the graph as dict(A = dict(Action = [[<Result 1>, <Result 2>, ...], <cost>], ...), ...)
A the dictionary format is different, make sure the graph is created as a directed graph. | 62598ee4498bea3a75a56193 |
class ExcAC8B(ExcitationSystem): <NEW_LINE> <INDENT> kdr = db.FloatProperty() <NEW_LINE> tr = Seconds <NEW_LINE> e1 = db.FloatProperty() <NEW_LINE> e2 = db.FloatProperty() <NEW_LINE> kir = db.FloatProperty() <NEW_LINE> kc = db.FloatProperty() <NEW_LINE> vrmax = db.FloatProperty() <NEW_LINE> ka = db.FloatProperty() <NEW... | IEEE (2005) AC8B Model The AVR in this model consists of PID control, with separate constants for the proportional (<i>KPR</i>), integral (<i>KIR</i>), and derivative (<i>KDR</i>) gains. The representation of the brushless exciter (<i>TE</i>, <i>KE</i>, <i>SE</i>, <i>KC</i>, <i>KD</i>) is similar to the model Type AC2... | 62598ee463d6d428bbee0e2c |
class Customer(object): <NEW_LINE> <INDENT> def __init__(self, id, num_of_floors): <NEW_LINE> <INDENT> self.id = id <NEW_LINE> self.start_floor = randint(1, num_of_floors) <NEW_LINE> self.end_floor = randint(1, num_of_floors) <NEW_LINE> if self.end_floor == self.start_floor and self.end_floor == num_of_floors: <NEW_LIN... | A customer class. A customer has an ID, start floor number, and end floor number. | 62598ee4d7e4931a7ef3a6fb |
class QuestionPermission(permissions.BasePermission): <NEW_LINE> <INDENT> def has_permission(self, request, view): <NEW_LINE> <INDENT> if view.action in ['list', 'retrieve']: <NEW_LINE> <INDENT> return True <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> return False <NEW_LINE> <DEDENT> <DEDENT> def has_object_permission... | List : anyone
Create : X
Retrieve : anyone
Update : X
Partial update : X
Destroy : X | 62598ee4cc0a2c1114479660 |
class Order(db.Model): <NEW_LINE> <INDENT> __tablename__ = 'orders' <NEW_LINE> id = db.Column(db.Integer, primary_key=True) <NEW_LINE> customer_id = db.Column(db.Integer, ForeignKey('users.id')) <NEW_LINE> shop_id = db.Column(db.Integer, ForeignKey('shops.id')) <NEW_LINE> note = db.Column(db.String(120)) <NEW_LINE> qu... | order models | 62598ee4bd1bec0571e143fa |
@benchmark.Owner(emails=['perezju@chromium.org']) <NEW_LINE> class DualBrowserBenchmark(memory._MemoryInfra): <NEW_LINE> <INDENT> options = {'pageset_repeat': 5} <NEW_LINE> @classmethod <NEW_LINE> def Name(cls): <NEW_LINE> <INDENT> return 'memory.dual_browser_test' <NEW_LINE> <DEDENT> def CreateStorySet(self, options):... | Measures memory usage while interacting with two different browsers.
The user story involves going back and forth between doing Google searches
on a webview-based browser (a stand in for the Search app), and loading
pages on a select browser. | 62598ee47d847024c075aa2c |
class Nmap_LAN(rootfs_boot.RootFSBootTest): <NEW_LINE> <INDENT> def recover(self): <NEW_LINE> <INDENT> lan = self.dev.lan <NEW_LINE> lan.sendcontrol("c") <NEW_LINE> <DEDENT> def runTest(self): <NEW_LINE> <INDENT> board = self.dev.board <NEW_LINE> lan = self.dev.lan <NEW_LINE> lan.sendline( "nmap -sS -A -v -p 1-10000 %s... | Ran nmap port scanning tool on LAN interface. | 62598ee432920d7e50bc468a |
class TestDumplingHub: <NEW_LINE> <INDENT> def test_init_default(self, mocker): <NEW_LINE> <INDENT> baked_out_now = datetime.datetime.now() <NEW_LINE> mock_datetime = mocker.patch('datetime.datetime') <NEW_LINE> mock_datetime.now.return_value = baked_out_now <NEW_LINE> hub = DumplingHub() <NEW_LINE> assert hub.address ... | Test the DumplingHub class. | 62598ee466673b3332c2ea05 |
class Route(object): <NEW_LINE> <INDENT> def __init__(self,app): <NEW_LINE> <INDENT> self.app = app <NEW_LINE> self.allRouteFunc = [] <NEW_LINE> self.routeMap = dict() <NEW_LINE> self.__route() <NEW_LINE> <DEDENT> def __addRoute(self,func): <NEW_LINE> <INDENT> method = func._method <NEW_LINE> path = func._path <NEW_LIN... | 搜索全局路由函数注册 | 62598ee444b2445a339b5c96 |
@six.add_metaclass(BasicTestsMetaclass) <NEW_LINE> class ResourceItemTests(BaseWebAPITestCase): <NEW_LINE> <INDENT> fixtures = ['test_users'] <NEW_LINE> test_http_methods = ('DELETE', 'PUT') <NEW_LINE> sample_api_url = 'users/<username>/watched/review-groups/<id>/' <NEW_LINE> resource = resources.watched_review_group <... | Testing the WatchedReviewGroupResource item API tests. | 62598ee497e22403b383954e |
class MLP_LeNetMNIST(nn.Module): <NEW_LINE> <INDENT> def __init__(self, input_nc, input_width, input_height, dropout_prob=0.0, **kwargs): <NEW_LINE> <INDENT> super(MLP_LeNetMNIST, self).__init__() <NEW_LINE> self.dropout_prob = dropout_prob <NEW_LINE> ngf = input_nc*input_width*input_height <NEW_LINE> self.fc1 = nn.Lin... | The last fully connected part of LeNet MNIST:
https://github.com/BVLC/caffe/blob/master/examples/mnist/lenet.prototxt | 62598ee42ae34c7f260a9745 |
class DeleteTableIndexRequest(AbstractModel): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.ClusterId = None <NEW_LINE> self.SelectedTables = None <NEW_LINE> <DEDENT> def _deserialize(self, params): <NEW_LINE> <INDENT> self.ClusterId = params.get("ClusterId") <NEW_LINE> if params.get("SelectedTables"... | DeleteTableIndex请求参数结构体
| 62598ee4fbf16365ca792701 |
class buffer: <NEW_LINE> <INDENT> anchor_position = minecraft.Vec3(0,0,0) <NEW_LINE> last_message = '' <NEW_LINE> offscreen = [] <NEW_LINE> onscreen = [] <NEW_LINE> def __init__(self, anchor_position): <NEW_LINE> <INDENT> self.anchor_position = anchor_position <NEW_LINE> <DEDENT> def render(self, message): <NEW_LINE> <... | Double-buffer a voxel message for Minecraft.
To improve performance, only changes are rendered. | 62598ee4d486a94d0ba2a62a |
class Middleware(object): <NEW_LINE> <INDENT> def __init__(self, application): <NEW_LINE> <INDENT> self.application = application <NEW_LINE> <DEDENT> def process_request(self, req): <NEW_LINE> <INDENT> return None <NEW_LINE> <DEDENT> def process_response(self, response): <NEW_LINE> <INDENT> return response <NEW_LINE> <... | Base WSGI middleware wrapper.
These classes require an application to be initialized that will be called
next. By default the middleware will simply call its wrapped app, or you
can override __call__ to customize its behavior. | 62598ee4a79ad16197768677 |
class Modifiers: <NEW_LINE> <INDENT> def __init__(self, all=False, forceCommand=False, debug=False, iterate=False, noSplit=False, preserveStack=False, print=False, autoPrint=False, push=False, reverse=False, split=False): <NEW_LINE> <INDENT> self.all = all <NEW_LINE> self.forceCommand = forceCommand <NEW_LINE> self.deb... | Hold information about command modifiers. | 62598ee4925a0f43d25e668b |
class QuestionAdmin(admin.ModelAdmin): <NEW_LINE> <INDENT> fieldsets = [ (None, {'fields': ['question_name']}), (None, {'fields': ['question_text']}), ('Date information', {'fields': ['pub_date'], 'classes': ['collapse']}), ] <NEW_LINE> inlines = [AnswerInline] <NEW_LINE> list_display = ('qu... | Custom display of questions and filtering of questions by publication date. Answers can
be added inline (3 at a time) to increase efficiency | 62598ee492d797404e387eaa |
class AxisDeviceEvent(Entity): <NEW_LINE> <INDENT> def __init__(self, event_config): <NEW_LINE> <INDENT> self.axis_event = event_config[CONF_EVENT] <NEW_LINE> self._name = '{}_{}_{}'.format( event_config[CONF_NAME], self.axis_event.event_type, self.axis_event.id) <NEW_LINE> self.location = event_config[ATTR_LOCATION] <... | Representation of a Axis device event. | 62598ee45166f23b2e241a35 |
class UnauthorizedResponseMixin: <NEW_LINE> <INDENT> def unauthorized_response(self, text: str = 'Unauthorized', code: int = 403) -> HttpResponse: <NEW_LINE> <INDENT> return HttpResponse(text, status=code) | A mixin that can be used to send an unauthorized response to the user | 62598ee421a7993f00c645cb |
class TrueCheck(BaseCheck): <NEW_LINE> <INDENT> def __str__(self): <NEW_LINE> <INDENT> return '@' <NEW_LINE> <DEDENT> def __call__(self, target, cred, rule_dict): <NEW_LINE> <INDENT> return True | A policy check that always returns ``True`` (allow). | 62598ee4656771135c487cf2 |
@python_2_unicode_compatible <NEW_LINE> class AddressCd(CalAccessBaseModel): <NEW_LINE> <INDENT> adrid = fields.IntegerField( db_column="ADRID", verbose_name="Address ID", help_text='Address indentification number' ) <NEW_LINE> city = fields.CharField( max_length=500, db_column="CITY", help_text='Address city' ) <NEW_L... | This table holds all addresses for the system. This table can be used
for address-based searches and formes the bases for address information
desplayed by the AMS. | 62598ee457b8e32f52507434 |
class DateTimeField(Field): <NEW_LINE> <INDENT> def __init__(self, fmt='%Y-%m-%dT%H:%M:%S.%f', **kwargs): <NEW_LINE> <INDENT> super(DateTimeField, self).__init__(**kwargs) <NEW_LINE> self.fmt = fmt <NEW_LINE> <DEDENT> def unwrap(self, instance, value): <NEW_LINE> <INDENT> if isinstance(value, (date, datetime, time)): <... | Dates formatting. From dict data reads all datetime formats without mask. For saving used mask parameter fmt
Parameters:
fmt(str): mask for saving datetime format | 62598ee44527f215b58e8565 |
class ResidualWrapper(RNNCell): <NEW_LINE> <INDENT> def __init__(self, cell): <NEW_LINE> <INDENT> self._cell = cell <NEW_LINE> <DEDENT> @property <NEW_LINE> def state_size(self): <NEW_LINE> <INDENT> return self._cell.state_size <NEW_LINE> <DEDENT> @property <NEW_LINE> def output_size(self): <NEW_LINE> <INDENT> return s... | RNNCell wrapper that ensures cell inputs are added to the outputs. | 62598ee49c8ee8231303f487 |
class StrftimeSyntaxError(ValueError): <NEW_LINE> <INDENT> BAD_STRFTIME_INPUT = "Invalid strftime/strptime representation: {0}" <NEW_LINE> def __str__(self): <NEW_LINE> <INDENT> return self.BAD_STRFTIME_INPUT.format(*self.args) | An error denoting invalid or unsupported strftime/strptime syntax. | 62598ee4aad79263cf42ce69 |
class UserChangeForm(forms.ModelForm): <NEW_LINE> <INDENT> password = ReadOnlyPasswordHashField(label= ("Password"), help_text= ("""Zmiana hasła za pomocą <a href=\"password/\">tego formularza</a>.""")) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> model = User <NEW_LINE> fields = ('email', 'password', 'username', 'is_act... | A form for updating users. Includes all the fields on
the user, but replaces the password field with admin's
password hash display field. | 62598ee4f7d966606f74664f |
class AddProvider(superdesk.Command): <NEW_LINE> <INDENT> option_list = { superdesk.Option('--provider', '-p', dest='provider', required=True), } <NEW_LINE> def run(self, provider): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> data = {} <NEW_LINE> data = superdesk.json.loads(provider) <NEW_LINE> data.setdefault('conten... | Add ingest provider.
Example:
::
$ python manage.py ingest:provider --provider='{"update_schedule" : { "minutes" : 5, "seconds" : 0 },
"idle_time" : { "hours" : 0, "minutes" : 0 }, "content_expiry" : 2880, "name" : "aap-demo",
"source" : "aap-demo", "feeding_service" : "rss",
"config" : ... | 62598ee438b623060ffa76f6 |
class IndentedTextSubstitution(TextSubstitution): <NEW_LINE> <INDENT> implements(IStringSubstitution) <NEW_LINE> description = _(u'Body text (indented)') <NEW_LINE> def safe_call(self): <NEW_LINE> <INDENT> text = TextSubstitution.safe_call(self) <NEW_LINE> if text: <NEW_LINE> <INDENT> return "\n".join(["\t" + l for l i... | Like full body text substitution aobve, but with indentation chars | 62598ee463d6d428bbee0e2d |
class NewServer(Action): <NEW_LINE> <INDENT> __metadata__ = { 'name': 'new_server', 'icon' : 'server', 'string': _(u"New server"), 'shortcut': 'Ctrl+H', } <NEW_LINE> def run(self): <NEW_LINE> <INDENT> Controller['server'].display_form() <NEW_LINE> <DEDENT> def __connect__(self): <NEW_LINE> <INDENT> UI['tree'].currentIt... | Action to add a new server. | 62598ee4435de62698e9a435 |
class GetNodeManufacturerId_args: <NEW_LINE> <INDENT> thrift_spec = ( None, (1, TType.I32, '_homeId', None, None, ), (2, TType.BYTE, '_nodeId', None, None, ), ) <NEW_LINE> def __init__(self, _homeId=None, _nodeId=None,): <NEW_LINE> <INDENT> self._homeId = _homeId <NEW_LINE> self._nodeId = _nodeId <NEW_LINE> <DEDENT> de... | Attributes:
- _homeId
- _nodeId | 62598ee46aa9bd52df0d350e |
class BaseSingleton(type): <NEW_LINE> <INDENT> __instances = {} <NEW_LINE> def __call__(cls, *args, **kwargs): <NEW_LINE> <INDENT> if cls not in cls.__instances: <NEW_LINE> <INDENT> cls.__instances[cls] = super(BaseSingleton, cls).__call__(*args, **kwargs) <NEW_LINE> <DEDENT> return cls.__instances[cls] <NEW_LINE> <DED... | Need to write this because supports both Python 2.x and 3.x.
class SubClass(with_metaclass('SubClass', Singleton)):
pass | 62598ee4cc0a2c1114479662 |
class Scheduler(Thread): <NEW_LINE> <INDENT> def __init__(self, rep_manager): <NEW_LINE> <INDENT> Thread.__init__(self) <NEW_LINE> self.__rep_manager = rep_manager <NEW_LINE> self.workers = [Worker(self, None) for i in range(Settings.max_threads)] <NEW_LINE> self.tasks = [] <NEW_LINE> self.__canceled = False <NEW_LINE>... | Custom task scheduler.
This scheduler is built upon threads, handling a pool of tasks. Each task
is performed separately, and the whole process is supervised.
The scheduler provides a way to easily enqueue and manage tasks. | 62598ee4460517430c430ae7 |
@python_2_unicode_compatible <NEW_LINE> class Definition(models.Model): <NEW_LINE> <INDENT> title = models.CharField(max_length=200) <NEW_LINE> description = models.CharField(max_length=200) <NEW_LINE> created_at = models.DateTimeField(auto_now_add=True) <NEW_LINE> updated_at = models.DateTimeField(auto_now=True) <NEW_... | Definitions page
| 62598ee467a9b606de54462d |
class TestPurchaseCardsLevel3LineItems(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 testPurchaseCardsLevel3LineItems(self): <NEW_LINE> <INDENT> pass | PurchaseCardsLevel3LineItems unit test stubs | 62598ee42c8b7c6e89bd1e1f |
class hfb6(Base): <NEW_LINE> <INDENT> __tablename__ = 'hfb6' <NEW_LINE> id = Column(Integer, primary_key=True) <NEW_LINE> data = Column(String) | SQLAlchemy Model DB Model | 62598ee47d43ff248742672b |
class SignConfig(Config): <NEW_LINE> <INDENT> NAME = "sign" <NEW_LINE> IMAGES_PER_GPU = 2 <NEW_LINE> NUM_CLASSES = 26 + 1 <NEW_LINE> STEPS_PER_EPOCH = 100 <NEW_LINE> DETECTION_MIN_CONFIDENCE = 0.9 | Configuration for training on the toy dataset.
Derives from the base Config class and overrides some values. | 62598ee42c8b7c6e89bd1e20 |
class AdminLog(db.Model): <NEW_LINE> <INDENT> __tablename__ = "adminlog" <NEW_LINE> id = db.Column(db.Integer, primary_key=True) <NEW_LINE> admin_id = db.Column(db.Integer, db.ForeignKey("admin.id")) <NEW_LINE> ip = db.Column(db.String(64)) <NEW_LINE> addtime = db.Column(db.DateTime, index=True, default=datetime.utcnow... | 管理员登录日志 | 62598ee44f88993c371ef816 |
class MotorCmder: <NEW_LINE> <INDENT> def msg_angle(self, angle=None): <NEW_LINE> <INDENT> msg = servo_pololu() <NEW_LINE> msg.id = self.motor_entry['motorid'] <NEW_LINE> msg.angle = self._saturatedAngle(angle or self.target) <NEW_LINE> msg.speed = self.motor_entry.get('speed', 200) <NEW_LINE> msg.acceleration = self.m... | Represents a partially defined motor command. Builds a ROS msg when given an angle. | 62598ee4dd821e528d6d75a5 |
class Actor(threading.Thread): <NEW_LINE> <INDENT> def __init__(self, username, password, metrics, tasks, log=None, base_url=None, submissions_path=None): <NEW_LINE> <INDENT> threading.Thread.__init__(self) <NEW_LINE> self.username = username <NEW_LINE> self.password = password <NEW_LINE> self.metrics = metrics <NEW_LI... | Class that simulates the behaviour of a user of the system. It
performs some requests at randomized times (checking CMS pages,
doing submissions, ...), checking for their success or failure.
The probability that the users doing actions depends on the value
specified in an object called "metrics". | 62598ee46e29344779afec90 |
@as_function <NEW_LINE> class period(IterOnInfs, Bin): <NEW_LINE> <INDENT> exec_name = "periodicity" <NEW_LINE> names = "MNaseSeq", <NEW_LINE> def fun(self, f, genome_dir, out_dir): <NEW_LINE> <INDENT> in_dir, base = PathHelpers.base_name(f["file_path"]) <NEW_LINE> calls = PathHelpers.build_path(base, out_dir, "gff", "... | Calculate the periodicity and phase of the coverages on gene bodies | 62598ee432920d7e50bc468d |
class VIEW3D_TP_Cursor_to_Active(bpy.types.Operator): <NEW_LINE> <INDENT> bl_idname = "tp_ops.cursor_to_active" <NEW_LINE> bl_label = "3d Cursor to Active" <NEW_LINE> bl_options = {'REGISTER', 'UNDO'} <NEW_LINE> def execute(self, context): <NEW_LINE> <INDENT> bpy.ops.view3d.snap_cursor_to_active() <NEW_LINE> return {'F... | 3D Cursor to Active | 62598ee4a79ad16197768679 |
class ThreadLoop(tornado.ioloop.IOLoop): <NEW_LINE> <INDENT> @contextmanager <NEW_LINE> def background(self): <NEW_LINE> <INDENT> def callback(): <NEW_LINE> <INDENT> if self.running(): <NEW_LINE> <INDENT> if self._handlers.keys() == [self._waker.fileno()]: <NEW_LINE> <INDENT> self.stop() <NEW_LINE> <DEDENT> else: <NEW_... | An IOLoop that can be run in a background thread as a context manager.
Example:
>>> read_fd, write_fd = os.pipe()
>>> loop = ThreadLoop()
>>> loop.add_handler(read_fd, process_items, loop.READ)
>>> with loop.background():
... os.write(write_fd, 'some message
')
... | 62598ee46fb2d068a7693153 |
class Order(db.Model): <NEW_LINE> <INDENT> order_id = db.Column(db.Integer, index=True, primary_key=True) <NEW_LINE> user_id = db.Column(db.Integer, db.ForeignKey('user.id')) <NEW_LINE> name = db.Column(db.String(100), index=True, unique=False) <NEW_LINE> email = db.Column(db.String(100), index=True, unique=False) <NEW... | Order model. | 62598ee407f4c71912badab5 |
class MultiChoiceQuiz(ttk.Frame): <NEW_LINE> <INDENT> def __init__(self, parent, answer, choices): <NEW_LINE> <INDENT> if len(choices) > 9: <NEW_LINE> <INDENT> raise ValueError("MultiChoiceQuiz can't have more than 10 choices.") <NEW_LINE> <DEDENT> ttk.Frame.__init__(self, parent) <NEW_LINE> self.config(borderwidth=2, ... | Makes a multiple choice quiz with a max of 10 randomly ordered answer choices. User picks an option and checks
with the 'check' button. Allows the user to pick an answer and check as much as they want.
input: parent, correct answer(str), alternate answers(list) | 62598ee401c39578d7f11409 |
class WandLibraryVersionError(WandException): <NEW_LINE> <INDENT> pass | Base class for Wand-related ImageMagick version errors.
.. versionadded:: 0.3.2 | 62598ee457b8e32f52507435 |
class HomePage(BasePage): <NEW_LINE> <INDENT> _profile_locator = '.username.pull-left' <NEW_LINE> @property <NEW_LINE> def _profile(self): <NEW_LINE> <INDENT> return self.driver.find_element_by_css_selector(self._profile_locator) <NEW_LINE> <DEDENT> def __init__(self, driver): <NEW_LINE> <INDENT> super(HomePage, self).... | Page object for Home page
It has some limitations because will be use only for validate
a successful login. | 62598ee421a7993f00c645cd |
class NaiveBayesTMD(TravelModeDetector): <NEW_LINE> <INDENT> MODEL_FILENAME = 'model.pkl' <NEW_LINE> CLASSES_FILENAME = 'classes.pkl' <NEW_LINE> DEFAULT_MODEL_PATH = 'nb_tmd' <NEW_LINE> DEFAULT_TRAIN_RATIO = 0.5 <NEW_LINE> DEFAULT_VAL_RATIO = 0.5 <NEW_LINE> DEFAULT_TEST_RATIO = 0.0 <NEW_LINE> def __init__(self, save_pa... | Wrapper that uses NaiveBayes to train a travel mode detector through smartphone sensors | 62598ee4498bea3a75a56196 |
class SpatialAnalysisPersonCountOperation(SpatialAnalysisTypedOperationBase): <NEW_LINE> <INDENT> _validation = { 'type': {'required': True}, 'zones': {'required': True}, } <NEW_LINE> _attribute_map = { 'type': {'key': '@type', 'type': 'str'}, 'debug': {'key': 'debug', 'type': 'str'}, 'calibration_configuration': {'key... | Defines a Spatial Analysis person count operation. This requires the Azure Cognitive Services Spatial analysis module to be deployed alongside the Video Analyzer module, please see https://aka.ms/ava-spatial-analysis for more information.
All required parameters must be populated in order to send to Azure.
:ivar type... | 62598ee4f7d966606f746651 |
class PreResBottleneck(nn.Module): <NEW_LINE> <INDENT> def __init__(self, in_channels, out_channels, stride, conv1_stride): <NEW_LINE> <INDENT> super(PreResBottleneck, self).__init__() <NEW_LINE> mid_channels = out_channels // 4 <NEW_LINE> self.conv1 = preres_conv1x1( in_channels=in_channels, out_channels=mid_channels,... | PreResNet bottleneck block for residual path in PreResNet unit.
Parameters:
----------
in_channels : int
Number of input channels.
out_channels : int
Number of output channels.
stride : int or tuple/list of 2 int
Strides of the convolution.
conv1_stride : bool
Whether to use stride in the first or the ... | 62598ee467a9b606de54462f |
class MSTSolution(Solution): <NEW_LINE> <INDENT> def __init__(self, problem): <NEW_LINE> <INDENT> self.problem = problem <NEW_LINE> self.unused = list(problem.search_space.components) <NEW_LINE> self.used = [] <NEW_LINE> self.data = np.zeros([problem.N, problem.N], dtype='int32') <NEW_LINE> self.fx = None <NEW_LINE> se... | Class representing complete or incomplete solutions. An initial solution do
not possesses any component, therefore, it is an incomplete solution. | 62598ee48e7ae83300ee76f1 |
class PreconfiguredProduct(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.swagger_types = { 'sku': 'str', 'name': 'str', 'description': 'str', 'price': 'ProductPriceInfo', 'items': 'list[PreconfiguredItem]', 'images': 'list[PreconfiguredProductImage]' } <NEW_LINE> self.attribute_map = { 'sku'... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 62598ee44e4d562566370a7a |
class VersionTestCase(unittest.TestCase): <NEW_LINE> <INDENT> def get_project_name(self): <NEW_LINE> <INDENT> return 'django-ticketoffice' <NEW_LINE> <DEDENT> def get_package_name(self): <NEW_LINE> <INDENT> return 'django_ticketoffice' <NEW_LINE> <DEDENT> def get_version(self, package): <NEW_LINE> <INDENT> module = __i... | Various checks around project's version info. | 62598ee4e5267d203ee69f67 |
@test(depends_on_groups=[groups.REPL_INST_MULTI_CREATE_WAIT], groups=[GROUP, groups.REPL_INST_DELETE]) <NEW_LINE> class ReplicationInstDeleteGroup(TestGroup): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super(ReplicationInstDeleteGroup, self).__init__( ReplicationRunnerFactory.instance()) <NEW_LINE> <DE... | Test Replication Instance Delete functionality. | 62598ee463b5f9789fe837bf |
class Source(object): <NEW_LINE> <INDENT> def __init__(self, source_url, refresh_interval): <NEW_LINE> <INDENT> self.source_url = source_url <NEW_LINE> self.url = urlparse(self.source_url) <NEW_LINE> self.interval = int(refresh_interval) <NEW_LINE> self.last_refresh = 0 <NEW_LINE> self.last_check = 0 <NEW_LINE> self.ch... | Base class for data sources | 62598ee4ac7a0e7691f70b78 |
class RequestParser(object): <NEW_LINE> <INDENT> RE_FIELDS = re.compile('^fields\[(?P<resource>\w+)\]$') <NEW_LINE> @classmethod <NEW_LINE> def parse(cls, querydict): <NEW_LINE> <INDENT> for key in querydict.keys(): <NEW_LINE> <INDENT> if not any((key in JSONAPIQueryDict._fields, cls.RE_FIELDS.match(key))): <NEW_LINE> ... | Rarser for Django request.GET parameters. | 62598ee444b2445a339b5c98 |
class CORMap(GenericMap): <NEW_LINE> <INDENT> def __init__(self, data, header, **kwargs): <NEW_LINE> <INDENT> super().__init__(data, header, **kwargs) <NEW_LINE> self._nickname = "{}-{}".format(self.detector, self.observatory[-1]) <NEW_LINE> self.plot_settings['cmap'] = 'stereocor{det!s}'.format(det=self.detector[-1]) ... | STEREO-SECCHI CORonograph Image Map.
Part of the STEREO-SECCHI suite of remote sensing telescopes,
COR is a set of two coronographs (COR1, COR2) onboard STEREO.
They are both traditional Lyot coronagraphs.
The COR1 detectors observes from 1.3 to 4 solar radii while the
COR2 detectors observe a range from 2 to 15 sola... | 62598ee432920d7e50bc468f |
class ExportService(object): <NEW_LINE> <INDENT> def __init__(self, service_name=None, url=None, database_name=None, collection_name=None, index=None, doc_type=None): <NEW_LINE> <INDENT> self.name = str(service_name).lower() <NEW_LINE> if self.name == 'mongo': <NEW_LINE> <INDENT> self.service = MongoService(__database_... | Basic Usage:
>> export_service_ = ExportService(service_name='Mongo', database_name='database_name',
collection_name='collection_name')
>> export_service_.export_data(data=[{'name': 'seray'}]) | 62598ee4796e427e5384cdfa |
class MethodStep(ABC): <NEW_LINE> <INDENT> def __init__(self, initial: Dict={}): <NEW_LINE> <INDENT> self.initial = initial <NEW_LINE> <DEDENT> @property <NEW_LINE> def plot_interaction(self) -> str: <NEW_LINE> <INDENT> raise NotImplementedError <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def getData(cls, model: ModelM... | Use as a template for new MethodStep,
MethodStep should update model field:
model.steps_data[<class name>], with methodstep
specific values (it can be list dict or single value).
New MethodStep should be placed in:
manager.opperations.methodsteps directory.
If the step requires some precofiguration it will
be passed vi... | 62598ee44428ac0f6e656bb5 |
class SNET_tradehistory(SNET_BaseTest, ): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> print(" test tradehistory setUp func here") <NEW_LINE> pass <NEW_LINE> <DEDENT> def runTest(self): <NEW_LINE> <INDENT> self.test_tradehistory() <NEW_LINE> <DEDENT> def test_tradehistory(self): <NEW_LINE> <INDENT> rpl777 =... | azure@boxfish:~/workbench/nxtDev/snappy$ ./uTest1.py SNET_tradehistory
test tradehistory setUp func here
++++++++++++
++++++++++++ tradehistory call
query json is: {'requestType': 'tradehistory', 'timestamp': ''}
~~~~~~~~~~~~
~~~~~~~~~~~~ SuperNET rpl777y:
{}
F
=================================================... | 62598ee4097d151d1a2bf682 |
class Spider(NewsSpider): <NEW_LINE> <INDENT> name = "院系/数学" <NEW_LINE> list_urls = [ "http://www2.ouc.edu.cn/math/Ch/NewsList.asp", ] <NEW_LINE> list_extract_scope = "//td[@width='480']" <NEW_LINE> list_extract_field = { 'link': ".//@href", 'title': ".//a/text()", } <NEW_LINE> item_url_pattern = r"http://www2.ouc.edu.... | 数学科学学院
这个网站的内容链接结尾有分类ID | 62598ee42ae34c7f260a974a |
class ComputeGlobalOperationsListRequest(messages.Message): <NEW_LINE> <INDENT> filter = messages.StringField(1) <NEW_LINE> maxResults = messages.IntegerField(2, variant=messages.Variant.UINT32, default=500) <NEW_LINE> pageToken = messages.StringField(3) <NEW_LINE> project = messages.StringField(4, required=True) | A ComputeGlobalOperationsListRequest object.
Fields:
filter: Optional. Filter expression for filtering listed resources.
maxResults: Optional. Maximum count of results to be returned. Maximum
value is 500 and default value is 500.
pageToken: Optional. Tag returned by a previous list request truncated by
... | 62598ee4925a0f43d25e668f |
@api.route("/attachments/<int:attachment_id>/download", endpoint="attachment_download_by_id") <NEW_LINE> @api.param("attachment_id", "attachment id (integer)") <NEW_LINE> @api.doc(security="apikey") <NEW_LINE> @api.response( code=HTTPStatus.NOT_FOUND, description="auto_proc_program_attachment not found." ) <NEW_LINE> c... | Downloads autoproc program attachment file | 62598ee40c0af96317c549ff |
class Entry(): <NEW_LINE> <INDENT> def __init__(self, line): <NEW_LINE> <INDENT> self.fields = line.rstrip().split("\t") <NEW_LINE> if not self.is_feature(): <NEW_LINE> <INDENT> self.line = line <NEW_LINE> return <NEW_LINE> <DEDENT> self.seqid = self.fields[0] <NEW_LINE> self.source = self.fields[1] <NEW_LINE> self.ft... | Very simplistic representation of a GFF3 entry: a single line of a GFF3 file
which may or may not be a complete representation of a genomic feature. | 62598ee45166f23b2e241a39 |
class SonosAlarms(SonosHouseholdCoordinator): <NEW_LINE> <INDENT> def __init__(self, *args: Any) -> None: <NEW_LINE> <INDENT> super().__init__(*args) <NEW_LINE> self.alarms: Alarms = Alarms() <NEW_LINE> self.created_alarm_ids: set[str] = set() <NEW_LINE> <DEDENT> def __iter__(self) -> Iterator: <NEW_LINE> <INDENT> retu... | Coordinator class for Sonos alarms. | 62598ee4e64d504609df86f0 |
class CMAuthenticationForm(forms.Form): <NEW_LINE> <INDENT> password = forms.RegexField(regex=regexp['password'], max_length=255, label=_("Password"), widget=forms.PasswordInput(attrs={'tabindex': '1', 'class': 'required'}), error_messages={'invalid': regexp_text['password']}) <NEW_LINE> def __init__(self, request=None... | Class for <b>login to CM admin's panel</b> form. | 62598ee40a50d4780f703a0c |
class Create_Axis: <NEW_LINE> <INDENT> def __init__(self, color, opacity, distance = 5, radius=0.05,label=False, sw=0.05, hw=0.2, hl=0.3): <NEW_LINE> <INDENT> self.color = color <NEW_LINE> if label == True: <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> arrow(pos=vector(-distance,0,0), axis=(vec... | Create x,y,z axis
PS: Z axis projecting out of the screen | 62598ee40c0af96317c54a00 |
class StandAloneTests(TestCase): <NEW_LINE> <INDENT> @patch('__builtin__.open') <NEW_LINE> def test_login(self, mock_open): <NEW_LINE> <INDENT> mock_open.return_value.read.return_value = "george|bosco\n" <NEW_LINE> self.assertTrue(auth.login('george', 'bosco')) <NEW_LINE> <DEDENT> @patch('__builtin__.open') <NEW_LINE> ... | Test the stand-alone module functions. | 62598ee4be383301e0251e3c |
class ServerProxy(object): <NEW_LINE> <INDENT> def __init__(self, uri, transport=None, encoding=None, verbose=0, version=None, json_encoder=None): <NEW_LINE> <INDENT> self.location = uri <NEW_LINE> self.trace = verbose <NEW_LINE> self.exceptions = True <NEW_LINE> self.timeout = None <NEW_LINE> self.json_request = self.... | JSON RPC Simple Client Service Proxy | 62598ee4fff4ab517ebcbe3c |
class KeyVerifyResult(Model): <NEW_LINE> <INDENT> _validation = { 'value': {'readonly': True}, } <NEW_LINE> _attribute_map = { 'value': {'key': 'value', 'type': 'bool'}, } <NEW_LINE> def __init__(self, **kwargs): <NEW_LINE> <INDENT> super(KeyVerifyResult, self).__init__(**kwargs) <NEW_LINE> self.value = None | The key verify result.
Variables are only populated by the server, and will be ignored when
sending a request.
:ivar value: True if the signature is verified, otherwise false.
:vartype value: bool | 62598ee47d847024c075aa31 |
class ImageSelectorWidget(epflwidgetbase.WidgetBase): <NEW_LINE> <INDENT> name = "image_selector" <NEW_LINE> template_name = "image_selector/image_selector.html" <NEW_LINE> asset_spec = "solute.epfl.widgets:image_selector/static" <NEW_LINE> js_name = ["image_selector.js"] <NEW_LINE> css_name = ["image_selector.css"] <N... | A widget which displays a list/row of images to be selected.
The domain consists of dicts with the following keys:
id: The unique id of this element (will be passed back as value to the field if the picture is selected)
name: optional. The name-tag (creates a small tooltip on the image)
preview_img_src: op... | 62598ee4627d3e7fe0e054eb |
class ACSConv(_ACSConv): <NEW_LINE> <INDENT> def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, acs_kernel_split=None, bias=True, padding_mode='zeros'): <NEW_LINE> <INDENT> super().__init__( in_channels, out_channels, kernel_size, stride, padding, dilation, False, 0, g... | Vallina ACS Convolution
Args:
acs_kernel_split: optional, equally spit if not specified.
Other arguments are the same as torch.nn.Conv3d.
Examples:
>>> import ACSConv
>>> x = torch.rand(batch_size, 3, D, H, W)
>>> conv = ACSConv(3, 10, kernel_size=3, padding=1)
>>> out = conv(x)
>>> conv ... | 62598ee456ac1b37e6300850 |
class TestEventSerialization(unittest.TestCase): <NEW_LINE> <INDENT> events = { "event": { "timestamp": "1989-03-11T13:30:01.234567", "file_name": "my_file.py", "line_number": 7, }, } <NEW_LINE> events["line"] = dict(**events["event"]) <NEW_LINE> events["function"] = dict( function_name="some_func", **events["event"] )... | The Event classes | 62598ee416aa5153ce3feb60 |
class Extension: <NEW_LINE> <INDENT> def __init__(self, tunnel=None, **kwargs): <NEW_LINE> <INDENT> self.tunnel = tunnel <NEW_LINE> self.unique_id = kwargs.get('unique_id') <NEW_LINE> self.download_url = kwargs.get('download_url') <NEW_LINE> self.should_download_from_marketplace = self.unique_id not in _NON_... | Extension base class | 62598ee467a9b606de544631 |
class Last24HoursErrorCheck(Resource): <NEW_LINE> <INDENT> @swagger.operation( notes='Get an Inciga2 status (OK, WARNING or ERROR) regarding the number of' ' errors that did happen in the last 24 hours', responseClass=string.__name__, responseMessages=[ { "code": 200, "message": "Success" } ] ) <NEW_LINE> @RestSyncMidd... | Resource to monitor the number of errors that did happen in the last 24 hours. | 62598ee430dc7b766599deeb |
class Genre(Base): <NEW_LINE> <INDENT> __tablename__ = "genre" <NEW_LINE> id = Column('id', Integer, primary_key=True) <NEW_LINE> series_id = Column(Integer, ForeignKey('series.id')) <NEW_LINE> name = Column('name', String) <NEW_LINE> def __repr__(self): <NEW_LINE> <INDENT> return "<Genre('%s', '%s')>" % (self.id, self... | This class stores information about a genre, assigned to series. | 62598ee43539df3088eca916 |
class StochasticDepthBottleNeck(torch.jit.ScriptModule): <NEW_LINE> <INDENT> expansion = 4 <NEW_LINE> def __init__(self, p, in_channels, out_channels, stride=1): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.p = p <NEW_LINE> self.residual = nn.Sequential( nn.Conv2d(in_channels, out_channels, kernel_size=1, bia... | Residual block for resnet over 50 layers
| 62598ee44e4d562566370a7c |
class Topology(Model): <NEW_LINE> <INDENT> _validation = { 'id': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_modified': {'readonly': True}, } <NEW_LINE> _attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_modified': {'k... | Topology of the specified resource group.
Variables are only populated by the server, and will be ignored when
sending a request.
:ivar id: GUID representing the operation id.
:vartype id: str
:ivar created_date_time: The datetime when the topology was initially
created for the resource group.
:vartype created_date_... | 62598ee48e7ae83300ee76f3 |
class GaussianGammaMoments(Moments): <NEW_LINE> <INDENT> r <NEW_LINE> def __init__(self, shape): <NEW_LINE> <INDENT> self.shape = shape <NEW_LINE> self.ndim = len(shape) <NEW_LINE> self.dims = (shape, 2*shape, (), ()) <NEW_LINE> super().__init__() <NEW_LINE> <DEDENT> def compute_fixed_moments(self, x_alpha): <NEW_LINE>... | Class for the moments of Gaussian-gamma-ISO variables. | 62598ee4ac7a0e7691f70b7a |
class EpisodeStatistics: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.record_episode = 0 <NEW_LINE> self.record_episode_time = 0 <NEW_LINE> self.record_kill_count = 0 <NEW_LINE> self.time_last_10 = collections.deque(list(), maxlen=10) <NEW_LINE> self.time_last_100 = collections.deque(list(), maxlen=... | Statistics for printing the status of the game agent and its achievements | 62598ee499cbb53fe682f514 |
class Regex(_KeyLevel): <NEW_LINE> <INDENT> def __init__(self, handle, regex, **kwargs): <NEW_LINE> <INDENT> super(Regex, self).__init__() <NEW_LINE> self.name = handle <NEW_LINE> self._regex = regex <NEW_LINE> self._add_kwargs(**kwargs) <NEW_LINE> self._validate_string(self.name) <NEW_LINE> self._validate_string(s... | A class to store data from a regex | 62598ee42eb69b55b15a06bb |
class LogisticRegression(object): <NEW_LINE> <INDENT> def __init__(self, input, n_in, n_out): <NEW_LINE> <INDENT> self.theta = theano.shared( value = numpy.zeros(n_in*n_out+n_out) ) <NEW_LINE> self.W = self.theta[0:n_in*n_out].reshape((n_in,n_out)) <NEW_LINE> self.b = self.theta[n_in*n_out:n_in*n_out+n_out] <NEW_LINE> ... | Multi-class Logistic Regression Class
The logistic regression is fully described by a weight matrix :math:`W`
and bias vector :math:`b`. Classification is done by projecting data
points onto a set of hyperplanes, the distance to which is used to
determine a class membership probability. | 62598ee4d7e4931a7ef3a702 |
class Category(BaseModelArticle): <NEW_LINE> <INDENT> name = models.CharField(max_length=20, blank=False, null=False, verbose_name='分类') <NEW_LINE> show_in_nav = models.BooleanField(default=False, verbose_name='是否显示在首页次导航中') <NEW_LINE> short_name = models.CharField( max_length=30, blank=False, null=False, unique=True, ... | 分类 | 62598ee4cad5886f8bdc3965 |
class FiltersForm(Form): <NEW_LINE> <INDENT> area_min = FloatField("Area min", [validators.Optional()]) <NEW_LINE> area_max = FloatField("Area max", [validators.Optional()]) <NEW_LINE> floor_min = FloatField("Floor min", [validators.Optional()]) <NEW_LINE> floor_max = FloatField("Floor max", [validators.Optional()]) <N... | Form on catalog page that filters estate objects | 62598ee42ae34c7f260a974c |
class sendsms2_result(object): <NEW_LINE> <INDENT> thrift_spec = ( (0, TType.I16, 'success', None, None, ), ) <NEW_LINE> def __init__(self, success=None,): <NEW_LINE> <INDENT> self.success = success <NEW_LINE> <DEDENT> def read(self, iprot): <NEW_LINE> <INDENT> if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccel... | Attributes:
- success | 62598ee401c39578d7f1140d |
class Db(object): <NEW_LINE> <INDENT> @classmethod <NEW_LINE> def new(cls, config): <NEW_LINE> <INDENT> cls.config = config <NEW_LINE> cls.conn_initialized = False <NEW_LINE> return cls <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def init(cls, force=False): <NEW_LINE> <INDENT> if force: <NEW_LINE> <INDENT> sys.stdout.w... | Do not instantiate directly.
Contains all the methods related to initialization of the environment that the
script will be running in. | 62598ee4bd1bec0571e143fd |
class MatrixError(Exception): <NEW_LINE> <INDENT> pass | Define an exception of different matrix | 62598ee47047854f4633da3a |
class UpdateAwsCredentialFileOperation(OperationBase): <NEW_LINE> <INDENT> _input_parameters = { ParameterName.AwsAccessKeyId, ParameterName.AwsSecretAccessKey, } <NEW_LINE> _output_parameters = set() <NEW_LINE> def execute(self, parameter_pool): <NEW_LINE> <INDENT> func_matrix = [] <NEW_LINE> for name, _, to_file in C... | Generate AWS credential file if it is not retrieved from local OS environment variables | 62598ee430bbd7224646829d |
class InputTrajectory(InputValue): <NEW_LINE> <INDENT> default_help = """This class defines how one trajectory file should be output. Between each trajectory tag one string should be given, which specifies what data is to be output.""" <NEW_LINE> default_label = "TRAJECTORY" <NEW_LINE> attribs = {} <NEW_LINE> attribs["... | Simple input class to describe output for trajectories.
Storage class for TrajectoryOutput.
Attributes:
filename: The (base) name of the file to output to.
stride: The number of steps that should be taken between outputting the
data to file.
format: The format of the trajectory output file.
cell_uni... | 62598ee4236d856c2adc8746 |
class GrantAccessData(Model): <NEW_LINE> <INDENT> _validation = { 'access': {'required': True}, 'duration_in_seconds': {'required': True}, } <NEW_LINE> _attribute_map = { 'access': {'key': 'access', 'type': 'AccessLevel'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'int'}, } <NEW_LINE> def __init__(sel... | Data used for requesting a SAS.
:param access: Possible values include: 'None', 'Read'
:type access: str or :class:`AccessLevel
<azure.mgmt.compute.compute.v2017_03_30.models.AccessLevel>`
:param duration_in_seconds: Time duration in seconds until the SAS access
expires.
:type duration_in_seconds: int | 62598ee4d58c6744b42db5e9 |
@add_metaclass(BoxBase) <NEW_LINE> class RecordListBox(object): <NEW_LINE> <INDENT> __display_name__ = 'Search' <NEW_LINE> __template__ = 'record_list' <NEW_LINE> __boxname__ = 'record_list' <NEW_LINE> limit = 5 <NEW_LINE> def __init__(self, query, collection, title, **kwargs): <NEW_LINE> <INDENT> self.query = Query(qu... | Build a box with the content of a search query. | 62598ee438b623060ffa76fc |
class GCClassifier(lidtk.classifiers.LIDClassifier): <NEW_LINE> <INDENT> def predict(self, text: str) -> str: <NEW_LINE> <INDENT> from google.cloud import translate <NEW_LINE> translate_client = translate.Client() <NEW_LINE> result = translate_client.detect_language(text) <NEW_LINE> return result["language"] | LID with the Google Cloud classifier. | 62598ee4baa26c4b54d4d934 |
class CustomAttention(_BaseAttentionMechanism): <NEW_LINE> <INDENT> def __init__(self, num_units, line_memory, word_memory=None, soft_weight=None, hierarchy=True, line_memory_sequence_length=None, word_memory_sequence_length=None, scale=False, probability_fn=None, score_mask_value=float("-inf"), name="CustomAttention")... | Implements Luong-style (multiplicative) attention scoring.
This attention has two forms. The first is standard Luong attention,
as described in:
Minh-Thang Luong, Hieu Pham, Christopher D. Manning.
"Effective Approaches to Attention-based Neural Machine Translation."
EMNLP 2015. https://arxiv.org/abs/1508.04025
Th... | 62598ee4f548e778e5969bfa |
class VistaDecorata(object): <NEW_LINE> <INDENT> permetti_embed = False <NEW_LINE> def contesto(self, contesto): <NEW_LINE> <INDENT> embed = self.permetti_embed and self.request.GET.get('embed', default='false') == 'true' <NEW_LINE> try: <NEW_LINE> <INDENT> contesto.update({'me': self.request.me}) <NEW_LINE> <DEDENT> e... | Questo mixin permette di usare i decoratori sopra nelle class based views
Per applicare i decoratori la vista deve essere costruita nel modo seguente:
class ListaArticoli(VistaDecorata, ListView):
...
@method_decorator(pagina_privata)
def dispatch(self, request, *args, **kwargs):
return super(Lis... | 62598ee41b99ca400228e83f |
class LoadBalancerOutboundRuleListResult(msrest.serialization.Model): <NEW_LINE> <INDENT> _validation = { 'next_link': {'readonly': True}, } <NEW_LINE> _attribute_map = { 'value': {'key': 'value', 'type': '[OutboundRule]'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } <NEW_LINE> def __init__( self, **kwargs ): <N... | Response for ListOutboundRule API service call.
Variables are only populated by the server, and will be ignored when sending a request.
:param value: A list of outbound rules in a load balancer.
:type value: list[~azure.mgmt.network.v2019_09_01.models.OutboundRule]
:ivar next_link: The URL to get the next set of resu... | 62598ee416aa5153ce3feb62 |
class Element(Model): <NEW_LINE> <INDENT> def __init__(self, id: str=None): <NEW_LINE> <INDENT> self.swagger_types = { 'id': str } <NEW_LINE> self.attribute_map = { 'id': 'id' } <NEW_LINE> self._id = id <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def from_dict(cls, dikt) -> 'Element': <NEW_LINE> <INDENT> return util.de... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 62598ee4cc0a2c1114479668 |
class Feat(object): <NEW_LINE> <INDENT> __ALL_FEATS = list() <NEW_LINE> def __init__(self, name=None, prerequisites=list(), benefit=None): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> self.prerequisites = prerequisites <NEW_LINE> self.benefit = benefit <NEW_LINE> <DEDENT> @staticmethod <NEW_LINE> def available_feats... | :type name: str
:type prerequisites: list
:type benefit: str | 62598ee45fdd1c0f98e5c613 |
class Style(models.Model): <NEW_LINE> <INDENT> name = models.CharField(_("Name"), max_length=100) <NEW_LINE> synonyms = models.CharField(_("Synonyms"), max_length=255, null=True, blank=True) <NEW_LINE> description = models.TextField(_("Description"), null=True, blank=True) <NEW_LINE> def __str__(self): <NEW_LINE> <INDE... | Represent a given beer style, like Koyt, Kluyn, etc. | 62598ee466656f66f7d58a46 |
class FinderCommandExecutor(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super(FinderCommandExecutor, self).__init__() <NEW_LINE> <DEDENT> def _execute_finder_command(self, command, shell=False): <NEW_LINE> <INDENT> return subprocess.check_call(command, shell=shell) <NEW_LINE> <DEDENT> def redir... | docstring for FinderCommandExecutor. | 62598ee4d268445f26638ec1 |
@attr('shard_2') <NEW_LINE> class TestCourseTagAPI(TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> super(TestCourseTagAPI, self).setUp() <NEW_LINE> self.user = UserFactory.create() <NEW_LINE> self.course_id = SlashSeparatedCourseKey('test_org', 'test_course_number', 'test_run') <NEW_LINE> self.test_... | Test the user service | 62598ee4ac7a0e7691f70b7c |
class ResponseOuterFeedForward(nn.Module): <NEW_LINE> <INDENT> def __init__(self, config): <NEW_LINE> <INDENT> super(ResponseOuterFeedForward, self).__init__() <NEW_LINE> input_hidden = config.d_model <NEW_LINE> intermediate_hidden = config.feed_forward2_hidden <NEW_LINE> dropout_rate = config.dropout <NEW_LINE> self.l... | 3 Fully-Connected layers which are applied after SharedEncoder | 62598ee44f88993c371ef819 |
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