code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
|---|---|---|
class MarkClassName(Expression): <NEW_LINE> <INDENT> def __init__(self, location, markClass): <NEW_LINE> <INDENT> Expression.__init__(self, location) <NEW_LINE> assert isinstance(markClass, MarkClass) <NEW_LINE> self.markClass = markClass <NEW_LINE> <DEDENT> def glyphSet(self): <NEW_LINE> <INDENT> return self.markClass... | A mark class name, such as @FRENCH_MARKS defined with markClass. | 62598fbe2c8b7c6e89bd39c0 |
class Operations(object): <NEW_LINE> <INDENT> models = _models <NEW_LINE> def __init__(self, client, config, serializer, deserializer): <NEW_LINE> <INDENT> self._client = client <NEW_LINE> self._serialize = serializer <NEW_LINE> self._deserialize = deserializer <NEW_LINE> self._config = config <NEW_LINE> <DEDENT> @dist... | Operations operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:ivar models: Alias to model classes used in this operation group.
:type models: ~azure.mgmt.redis.models
:param client: Client for service ... | 62598fbea8370b77170f05e0 |
class NonFiniteCase(CloseTestCase): <NEW_LINE> <INDENT> inf = float('inf') <NEW_LINE> nan = float('nan') <NEW_LINE> close_examples = [(inf, inf), (-inf, -inf), ] <NEW_LINE> not_close_examples = [(nan, nan), (nan, 1e-100), (1e-100, nan), (inf, nan), (nan, inf), (inf, -inf), (inf, 1.0), (1.0, inf), (inf, 1e308), (1e308, ... | tests for nan, inf, -inf | 62598fbe5fc7496912d4837b |
@xnmt.require_torch <NEW_LINE> class LinearTorch(Transform, Serializable): <NEW_LINE> <INDENT> yaml_tag = "!Linear" <NEW_LINE> @serializable_init <NEW_LINE> def __init__(self, input_dim: numbers.Integral = Ref("exp_global.default_layer_dim"), output_dim: numbers.Integral = Ref("exp_global.default_layer_dim"), bias: boo... | Linear projection with optional bias.
Args:
input_dim: input dimension
output_dim: hidden dimension
bias: whether to add a bias
param_init: how to initialize weight matrices
bias_init: how to initialize bias vectors | 62598fbeff9c53063f51a84e |
class Fe55GainSummaryTask(Fe55SummaryAnalysisTask): <NEW_LINE> <INDENT> ConfigClass = Fe55GainSummaryConfig <NEW_LINE> _DefaultName = "Fe55GainSummaryTask" <NEW_LINE> plot_names = ['gain', 'sigmax', 'fgood'] <NEW_LINE> def extract(self, butler, data, **kwargs): <NEW_LINE> <INDENT> self.safe_update(**kwargs) <NEW_LINE> ... | Sumarize the results of the Fe55 gain analyses | 62598fbe3346ee7daa337748 |
class Alert(DatetimeModel, DataModel): <NEW_LINE> <INDENT> ALERT_LEVELS = [[0, _("Warning")], [1, _("Important")], [2, _("Security")]] <NEW_LINE> WARNING, IMPORTANT, SECURITY = 0, 1, 2 <NEW_LINE> user = models.ForeignKey(settings.AUTH_USER_MODEL, related_name='alerts_received', on_delete=models.CASCADE, verbose_name=_(... | Alerte | 62598fbedc8b845886d537bb |
class UnknownXmlParsingError(BaseXmlParsingError): <NEW_LINE> <INDENT> pass | An unkwnown XML parsing error or for which there is no handling implementation.
It is useful because the XML parsing process indirectly uses many
(standard and 3rd party) libraries, some of them with native
implementations and/or with a lot of obscure Python magic. | 62598fbe56ac1b37e63023ee |
class InstitucionUnlinkSerializer(serializers.ModelSerializer): <NEW_LINE> <INDENT> planificaciones = PlanificacionSerializer(many=True, read_only=True) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> model = Institucion <NEW_LINE> fields = ( 'id', 'periodo', 'nombre_departamento', 'nombre_distrito', 'codigo_institucion', '... | Este serializador solo se usa para facilitar el proceso de romper las relaciones entre
Instituciones y Planificaciones, UnlinkMatch | 62598fbe5fcc89381b26624d |
class ProjectSummaryView(ProjectContextMixin, DetailView): <NEW_LINE> <INDENT> model = SocialProject <NEW_LINE> template_name = 'projects/socialproject_summary.html' <NEW_LINE> def get_context_data(self, object=None): <NEW_LINE> <INDENT> context = super(ProjectSummaryView, self).get_context_data() <NEW_LINE> ct = Conte... | Podsumowanie najważniejszych informacji o projekcie. | 62598fbe7047854f4633f5d5 |
class QueueManager: <NEW_LINE> <INDENT> running = False <NEW_LINE> queue: list[Coroutine] = [] <NEW_LINE> def __init__(self, hass: HomeAssistant) -> None: <NEW_LINE> <INDENT> self.hass = hass <NEW_LINE> <DEDENT> @property <NEW_LINE> def pending_tasks(self) -> int: <NEW_LINE> <INDENT> return len(self.queue) <NEW_LINE> <... | The QueueManager class. | 62598fbea219f33f346c6a07 |
class InverterMsg(object): <NEW_LINE> <INDENT> raw_msg = "" <NEW_LINE> def __init__(self, msg, offset=0): <NEW_LINE> <INDENT> self.raw_msg = msg <NEW_LINE> self.offset = offset <NEW_LINE> <DEDENT> def __get_string(self, begin, end): <NEW_LINE> <INDENT> return self.raw_msg[begin:end] <NEW_LINE> <DEDENT> def __get_short(... | Decode the response message from an omniksol inverter. | 62598fbe5fdd1c0f98e5e193 |
class AppLogsHandler(logging.Handler): <NEW_LINE> <INDENT> def emit(self, record): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> message = self._AppLogsMessage(record) <NEW_LINE> if isinstance(message, unicode): <NEW_LINE> <INDENT> message = message.encode("UTF-8") <NEW_LINE> <DEDENT> logservice.write(message) <NEW_LINE... | Logging handler that will direct output to a persistent store of
application logs.
This handler will output log statements to logservice.write(). This handler is
automatically initialized and attached to the Python common logging library. | 62598fbeaad79263cf42e9d6 |
class Channel_Store(): <NEW_LINE> <INDENT> ALL = Category("all") <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> self.categories = {} <NEW_LINE> self._set_default(Channel_Store.ALL) <NEW_LINE> <DEDENT> def _set_default(self,category): <NEW_LINE> <INDENT> self.categories[category.name] = category <NEW_LINE> <DEDENT> ... | Channels are stored in different categories. This class uses a dictionary to
store categories. | 62598fbe283ffb24f3cf3a85 |
class closeScanner_result(object): <NEW_LINE> <INDENT> thrift_spec = ( None, (1, TType.STRUCT, 'io', (TIOError, TIOError.thrift_spec), None,), (2, TType.STRUCT, 'ia', (TIllegalArgument, TIllegalArgument.thrift_spec), None,), ) <NEW_LINE> def __init__(self, io=None, ia=None, ): <NEW_LINE> <INDENT> self.io = io <NEW_LINE... | Attributes:
- io
- ia: if the scannerId is invalid | 62598fbe3317a56b869be650 |
class QuantileScaler(BaseEstimator, TransformerMixin): <NEW_LINE> <INDENT> def __init__(self, n_quantiles=10): <NEW_LINE> <INDENT> self.n_quantiles = n_quantiles <NEW_LINE> <DEDENT> def fit(self, X, y=None): <NEW_LINE> <INDENT> n_unique_values = len(np.unique(X)) <NEW_LINE> if self.n_quantiles > n_unique_values: <NEW_L... | Perform a monotone transformation on a feature to map into buckets of equal size. | 62598fbe99fddb7c1ca62eed |
class BroekhoffDeBoer(ThicknessCurve): <NEW_LINE> <INDENT> def __init__(self, c1 = -16.1100, c2 = 0.1682, c3 = -0.1137): <NEW_LINE> <INDENT> self.c1 = c1 <NEW_LINE> self.c2 = c2 <NEW_LINE> self.c3 = c3 <NEW_LINE> <DEDENT> def eval(self, Prel): <NEW_LINE> <INDENT> def f(x): <NEW_LINE> <INDENT> return ( q - self.c2 * mat... | An instance of a ThicknessCurve that implements the Broekhoff-de Boer model. | 62598fbed486a94d0ba2c1d2 |
class ItemsResponse(object): <NEW_LINE> <INDENT> swagger_types = { 'error': 'Error', 'items': 'list[Item]', 'metadata': 'ResponseMetadata', 'success': 'bool' } <NEW_LINE> attribute_map = { 'error': 'error', 'items': 'items', 'metadata': 'metadata', 'success': 'success' } <NEW_LINE> def __init__(self, error=None, items=... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 62598fbe8a349b6b4368643f |
class KGDatasetFB15k(KGDataset): <NEW_LINE> <INDENT> def __init__(self, path, name='FB15k'): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> url = 'https://data.dgl.ai/dataset/{}.zip'.format(name) <NEW_LINE> if not os.path.exists(os.path.join(path, name)): <NEW_LINE> <INDENT> print('File not found. Downloading from', u... | Load a knowledge graph FB15k
The FB15k dataset has five files:
* entities.dict stores the mapping between entity Id and entity name.
* relations.dict stores the mapping between relation Id and relation name.
* train.txt stores the triples in the training set.
* valid.txt stores the triples in the validation set.
* tes... | 62598fbef548e778e596b7a8 |
class SerializerMeta(type): <NEW_LINE> <INDENT> def __new__(mcs, name, bases, attrs): <NEW_LINE> <INDENT> attrs['_declared_fields'] = mcs.get_declared_fields(bases, attrs, base.FieldABC) <NEW_LINE> return super(SerializerMeta, mcs).__new__(mcs, name, bases, attrs) <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def get_dec... | Metaclass for the Serializer class. Binds the declared fields to
a ``_declared_fields`` attribute, which is a dictionary mapping attribute
names to field objects. | 62598fbefff4ab517ebcd9e7 |
class MGMSG_MOT_REQ_ENCCOUNTER(MessageWithoutData): <NEW_LINE> <INDENT> message_id = 0x040A <NEW_LINE> _params_names = ['message_id'] + ['chan_ident', None] + ['dest', 'source'] | See :class:`MGMSG_MOT_SET_ENCCOUNTER`.
:param chan_ident: channel number (0x01, 0x02)
:type chan_ident: int | 62598fbe3d592f4c4edbb0c0 |
class SupplierDetailSerializer(serializers.ModelSerializer): <NEW_LINE> <INDENT> deliveries = DeliveryListSerializer(many=True) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> model = Supplier <NEW_LINE> fields = ('__all__') | Сериализатор для отдельного поставщика | 62598fbef548e778e596b7a9 |
class ProductionConfig(BaseConfig): <NEW_LINE> <INDENT> SECRET_KEY = 'my_precious' <NEW_LINE> DEBUG = False <NEW_LINE> SQLALCHEMY_DATABASE_URI = 'postgresql://user:user@localhost/db' | Production configuration. | 62598fbe66673b3332c305d5 |
class SalmonProtocol(object): <NEW_LINE> <INDENT> magicenv = magicsig.MagicEnvelopeProtocol() <NEW_LINE> def _GetKeypair(self, signer_uri): <NEW_LINE> <INDENT> return self.key_retriever.LookupPublicKey(signer_uri) <NEW_LINE> <DEDENT> def SignSalmon(self, text, mimetype, requestor_id): <NEW_LINE> <INDENT> assert mimetyp... | Implementation of Salmon Protocol. | 62598fbebf627c535bcb16a8 |
class NoneRemoveLast(NoneRemoveAll): <NEW_LINE> <INDENT> grok.name('remove-last') | Remove last for None. | 62598fbe60cbc95b0636453f |
class Response(models.Model): <NEW_LINE> <INDENT> created = models.DateTimeField(_("Creation date"), auto_now_add=True) <NEW_LINE> updated = models.DateTimeField(_("Update date"), auto_now=True) <NEW_LINE> survey = models.ForeignKey(Survey, verbose_name=_("Survey"),related_name="responses",on_delete=models.PROTECT) <NE... | A Response object is a collection of questions and answers with a
unique interview uuid. | 62598fbeec188e330fdf8a96 |
class Node: <NEW_LINE> <INDENT> def __init__(self, val): <NEW_LINE> <INDENT> self.val = val <NEW_LINE> self.left = None <NEW_LINE> self.right = None <NEW_LINE> self.previous = None <NEW_LINE> self.next = None <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDENT> return str(self.val) <NEW_LINE> <DEDENT> def set_val... | Class represents the individual Nodes that make up a Binary Search Tree or Linked Lists | 62598fbe7047854f4633f5d7 |
class Group(Model): <NEW_LINE> <INDENT> name = String() <NEW_LINE> users = HasMany("auth.User") | A group model. | 62598fbe7b180e01f3e49151 |
class Refreshable(RedditContentObject): <NEW_LINE> <INDENT> def refresh(self): <NEW_LINE> <INDENT> unique = self.reddit_session._unique_count <NEW_LINE> self.reddit_session._unique_count += 1 <NEW_LINE> if isinstance(self, Redditor): <NEW_LINE> <INDENT> other = Redditor(self.reddit_session, self._case_name, fetch=True,... | Interface for objects that can be refreshed. | 62598fbe26068e7796d4cb5f |
class Club(SkeletonU): <NEW_LINE> <INDENT> name = models.CharField(_('Club name'), max_length=40, blank=False, null=False) <NEW_LINE> description = models.CharField(_('Club description'), max_length=255, blank=True, null=True) <NEW_LINE> created = models.DateTimeField(null=True, blank=True) <NEW_LINE> info = models.Tex... | created == club creation date | 62598fbe44b2445a339b6a78 |
class TestNotifyReminder: <NEW_LINE> <INDENT> def test_linux(self, notify): <NEW_LINE> <INDENT> notifyFn = notify[0] <NEW_LINE> notifyFn("linux", "this is a test reminder") <NEW_LINE> called = notify[1] <NEW_LINE> assert called <NEW_LINE> args = called[0][0] <NEW_LINE> assert "/usr/bin/notify-send" in args <NEW_LINE> a... | Tests for creating a system notifiction | 62598fbe5fdd1c0f98e5e196 |
class StopServices(RestartServices): <NEW_LINE> <INDENT> subcommand = "stop" | docker-compose logs -f --tail=tail | 62598fbe091ae35668704e29 |
class IngressPort(base_tests.SimpleDataPlane): <NEW_LINE> <INDENT> def runTest(self): <NEW_LINE> <INDENT> logging.info("Running Ingress Port test") <NEW_LINE> of_ports = config["port_map"].keys() <NEW_LINE> of_ports.sort() <NEW_LINE> self.assertTrue(len(of_ports) > 1, "Not enough ports for test") <NEW_LINE> delete_all_... | Verify match on single Header Field Field -- In_port | 62598fbe377c676e912f6e74 |
class Durability: <NEW_LINE> <INDENT> __init__ = _no_init <NEW_LINE> __scope__ = "Durability" <NEW_LINE> Volatile: 'Policy.Durability.Volatile' = _policy_singleton("Durability", "Volatile") <NEW_LINE> TransientLocal: 'Policy.Durability.TransientLocal' = _policy_singleton("Durability", "TransientLocal") <NEW_LINE> Trans... | The Durability Qos Policy
Examples
--------
>>> Policy.Durability.Volatile
>>> Policy.Durability.TransientLocal
>>> Policy.Durability.Transient
>>> Policy.Durability.Persistent | 62598fbe4a966d76dd5ef0d8 |
class implementer(object): <NEW_LINE> <INDENT> __slots__ = ('interfaces',) <NEW_LINE> def __init__(self, *interfaces): <NEW_LINE> <INDENT> self.interfaces = interfaces <NEW_LINE> <DEDENT> def __call__(self, ob): <NEW_LINE> <INDENT> if isinstance(ob, DescriptorAwareMetaClasses): <NEW_LINE> <INDENT> classImplements(ob, *... | Declare the interfaces implemented by instances of a class.
This function is called as a class decorator.
The arguments are one or more interfaces or interface
specifications (`~zope.interface.interfaces.IDeclaration`
objects).
The interfaces given (including the interfaces in the
specifications) are added to any in... | 62598fbe656771135c489874 |
class NoErrArgumentParser(argparse.ArgumentParser): <NEW_LINE> <INDENT> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> self.valid_args_cre_list = [] <NEW_LINE> argparse.ArgumentParser.__init__(self, *args, **kwargs) <NEW_LINE> <DEDENT> def add_argument(self, *args, **kwargs): <NEW_LINE> <INDENT> self.valid_ar... | ArgumentParser class that handle only predefined for an instance options.
Note:
The original ArgumentParser class raises an error if handle unknown option.
But py.test have it's own options and it's own custom parser and if ArgumentParser find them it raises an error.
Using this class allows not to define ... | 62598fbe63b5f9789fe85376 |
class CompositionRule(Rule, metaclass=ABCMeta): <NEW_LINE> <INDENT> def __init__(self, *rules): <NEW_LINE> <INDENT> for r in rules: <NEW_LINE> <INDENT> if not isinstance(r, Rule): <NEW_LINE> <INDENT> log.error("%s creation. Arguments should be of Rule class or it's derivatives", type(self).__name__) <NEW_LINE> raise Ty... | Abstract Rule that encompasses other Rules. | 62598fbe0fa83653e46f50e9 |
class SvnInfo(object): <NEW_LINE> <INDENT> @staticmethod <NEW_LINE> def get_svn_version(): <NEW_LINE> <INDENT> with TemporaryDirectory() as tempdir: <NEW_LINE> <INDENT> code, data = _run_command(['svn', '--config-dir', tempdir, '--version', '--quiet']) <NEW_LINE> <DEDENT> if code == 0 and data: <NEW_LINE> <INDENT> retu... | Generic svn_info object. No has little knowledge of how to extract
information. Use cls.load to instatiate according svn version.
Paths are not filesystem encoded. | 62598fbef9cc0f698b1c53d2 |
class List(View): <NEW_LINE> <INDENT> template_name = 'list.html' <NEW_LINE> criterio = None <NEW_LINE> @method_decorator(cache_page(ESCENARIO_CACHE.get('LIST_TIME', 5), cache=CACHE_NAME)) <NEW_LINE> def get(self, request): <NEW_LINE> <INDENT> escimgs = EscImg.objects.order_by(self.criterio) <NEW_LINE> paginator = Pagi... | List Escenarios View | 62598fbe7cff6e4e811b5c28 |
class Type(object): <NEW_LINE> <INDENT> A = 1 <NEW_LINE> NS = 2 <NEW_LINE> CNAME = 5 <NEW_LINE> SOA = 6 <NEW_LINE> WKS = 11 <NEW_LINE> PTR = 12 <NEW_LINE> HINFO = 13 <NEW_LINE> MINFO = 14 <NEW_LINE> MX = 15 <NEW_LINE> TXT = 16 <NEW_LINE> AAAA = 28 <NEW_LINE> ANY = 255 <NEW_LINE> by_string = { "A": A, "NS": NS, "CNAME":... | DNS TYPE and QTYPE
Usage:
>>> Type.A
1
>>> Type.CNAME
5 | 62598fbe44b2445a339b6a79 |
class CourseCategory(models.Model): <NEW_LINE> <INDENT> name = models.CharField(max_length=64, unique=True) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> verbose_name = "课程大类" <NEW_LINE> verbose_name_plural = "课程大类" <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDENT> return self.name | 课程大类, e.g 前端 后端... | 62598fbe7d847024c075c5c3 |
class PrivacyPolicyForm(forms.Form): <NEW_LINE> <INDENT> content = forms.CharField(label="Privacy Policy", widget=forms.Textarea, required=False) | Form to update the privacy policy | 62598fbe66673b3332c305d9 |
class layer(component): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def set_inputTensor(self, inputTensor): <NEW_LINE> <INDENT> self.inputTensor = inputTensor <NEW_LINE> <DEDENT> def set_outputTensor(self, outputTensor): <NEW_LINE> <INDENT> self.outputTensor = outputTensor <NEW_... | It's required that the inputShape & outputShape be ndarray
base class for all kinds of layers | 62598fbe442bda511e95c665 |
class MaskPoints(FilterBase): <NEW_LINE> <INDENT> __version__ = 0 <NEW_LINE> filter = Instance(tvtk.MaskPoints, args=(), allow_none=False, record=True) <NEW_LINE> input_info = PipelineInfo(datasets=['any'], attribute_types=['any'], attributes=['any']) <NEW_LINE> output_info = PipelineInfo(datasets=['poly_data'], attrib... | Selectively passes the input points downstream. This can be
used to subsample the input points. Note that this does not pass
geometry data, this means all grid information is lost. | 62598fbe4a966d76dd5ef0da |
class SWIMJSONMessageSerialiser(object): <NEW_LINE> <INDENT> @staticmethod <NEW_LINE> def to_buffer(swim_message): <NEW_LINE> <INDENT> message_as_dict = { u"message_name" : swim_message.message_name, u"meta_data" : swim_message.meta_data, u"piggyback_data" : swim_message.piggyback_data } <NEW_LINE> return cjson.encode(... | A class capable of serialising / deserialising SWIMMessages using
the JSON format | 62598fbe167d2b6e312b717d |
class RegExpTimeLineLineAnalyzer(RegExpLineAnalyzer): <NEW_LINE> <INDENT> def __init__(self, name, exp, titles=[], startTime=None, endTime=None): <NEW_LINE> <INDENT> RegExpLineAnalyzer.__init__(self, name, exp, idNr=None, titles=titles, doTimelines=True, doFiles=False, startTime=startTime, endTime=endTime) | Class that stores results as timelines, too | 62598fbe97e22403b383b10f |
class ClassFactRegistry(MutableMapping): <NEW_LINE> <INDENT> def __init__(self, d=None): <NEW_LINE> <INDENT> d = d or {} <NEW_LINE> self.d = defaultdict(frozenset, d) <NEW_LINE> super(ClassFactRegistry, self).__init__() <NEW_LINE> <DEDENT> def __setitem__(self, key, item): <NEW_LINE> <INDENT> self.d[key] = frozenset(it... | Register handlers against classes
``registry[C] = handler`` registers ``handler`` for class
``C``. ``registry[C]`` returns a set of handlers for class ``C``, or any
of its superclasses. | 62598fbed486a94d0ba2c1d8 |
class BinomialVerteilung(): <NEW_LINE> <INDENT> def __init__(self, n, p): <NEW_LINE> <INDENT> self.n = n <NEW_LINE> self.p = p <NEW_LINE> <DEDENT> def __prob(self, k): <NEW_LINE> <INDENT> return binom(self.n, k) * self.p ** k * (1 - self.p)**(self.n-k) <NEW_LINE> <DEDENT> def probability(self, k): <NEW_LINE> <INDENT> i... | description of class | 62598fbe796e427e5384e99d |
class CommonLogFormatParser(LineParser): <NEW_LINE> <INDENT> name = 'Common Log Format' <NEW_LINE> format = None <NEW_LINE> def __init__(self, sink): <NEW_LINE> <INDENT> super(CommonLogFormatParser, self).__init__(sink) <NEW_LINE> self.apachelog_parser = apachelog.parser(self.format) <NEW_LINE> <DEDENT> def parse(self,... | Обработка записей журнала доступа веб-сервера, отвечающих стандарту
Common Log Format. | 62598fbe5166f23b2e2435e7 |
class TemplateImage(FabioImage): <NEW_LINE> <INDENT> DESCRIPTION = "Name of the file format" <NEW_LINE> DEFAULT_EXTENSIONS = [] <NEW_LINE> def __init__(self, *arg, **kwargs): <NEW_LINE> <INDENT> FabioImage.__init__(self, *arg, **kwargs) <NEW_LINE> <DEDENT> def _readheader(self, infile): <NEW_LINE> <INDENT> self.header ... | FabIO image class for Images for XXX detector
Put some documentation here | 62598fbe4527f215b58ea0d6 |
class UserViewSet(viewsets.ReadOnlyModelViewSet): <NEW_LINE> <INDENT> queryset = User.objects.all() <NEW_LINE> serializer_class = UserSerializer | This viewset automatically provides 'list' and 'detail' actions. | 62598fbe56ac1b37e63023f6 |
class TestFindStatic(CollectionTestCase, TestDefaults): <NEW_LINE> <INDENT> def _get_file(self, filepath): <NEW_LINE> <INDENT> out = six.StringIO() <NEW_LINE> call_command('findstatic', filepath, all=False, verbosity=0, stdout=out) <NEW_LINE> out.seek(0) <NEW_LINE> lines = [l.strip() for l in out.readlines()] <NEW_LINE... | Test ``findstatic`` management command. | 62598fbe9f2886367281897f |
class NSNitroNserrCaconfCnflHitparamsInvlslctr(NSNitroCaconfErrors): <NEW_LINE> <INDENT> pass | Nitro error code 490
Conflicting arguments, hitParams and invalSelector | 62598fbe3d592f4c4edbb0c6 |
class CameraSample(object): <NEW_LINE> <INDENT> def __init__(self, camera_to_world_pose, camera_intr, radius, elev, az, roll, tx=0, ty=0, focal=0, cx=0, cy=0): <NEW_LINE> <INDENT> self.camera_to_world_pose = camera_to_world_pose <NEW_LINE> self.camera_intr = camera_intr <NEW_LINE> self.radius = radius <NEW_LINE> self.e... | Struct to encapsulate the results of sampling a camera and its pose.
Attributes
----------
object_to_camera_pose : autolab_core.RigidTransform
A transfrom from the object frame to the camera frame.
camera_intr : perception.CameraIntrinsics
The camera's intrinsics.
radius : float
The distance from the cente... | 62598fbe4c3428357761a4c4 |
class Or(ParseExpression): <NEW_LINE> <INDENT> def __init__( self, exprs, savelist = False ): <NEW_LINE> <INDENT> super(Or,self).__init__(exprs, savelist) <NEW_LINE> self.mayReturnEmpty = False <NEW_LINE> for e in self.exprs: <NEW_LINE> <INDENT> if e.mayReturnEmpty: <NEW_LINE> <INDENT> self.mayReturnEmpty = True <NEW_L... | Requires that at least one C{ParseExpression} is found.
If two expressions match, the expression that matches the longest string will be used.
May be constructed using the C{'^'} operator. | 62598fbe7d847024c075c5c5 |
class OxSignal(): <NEW_LINE> <INDENT> def __init__(self, controller, sm_id, pin): <NEW_LINE> <INDENT> print("init") <NEW_LINE> controller.register(self) <NEW_LINE> <DEDENT> def notify(self, observable, **data): <NEW_LINE> <INDENT> print("received the following data: ", data) | Generats OX signal. | 62598fbe656771135c489878 |
class Pandaseq(AutotoolsPackage): <NEW_LINE> <INDENT> homepage = "https://github.com/neufeld/pandaseq" <NEW_LINE> url = "https://github.com/neufeld/pandaseq/archive/v2.11.tar.gz" <NEW_LINE> version('2.11', sha256='6e3e35d88c95f57d612d559e093656404c1d48c341a8baa6bef7bb0f09fc8f82') <NEW_LINE> version('2.10', sha256=... | PANDASEQ is a program to align Illumina reads, optionally with PCR
primers embedded in the sequence, and reconstruct an overlapping
sequence. | 62598fbe63b5f9789fe8537a |
class LineStyle2(LineStyle): <NEW_LINE> <INDENT> @check_args <NEW_LINE> def set_keys(self, color=None, width: int=None, _type: str=None, shadow_blur: int=None, shadow_color: str=None, shadow_offset_x: int=None, shadow_offset_y: int=None, opacity: int=None): <NEW_LINE> <INDENT> self.color = color <NEW_LINE> self.width =... | This Class Is For SplitLine | 62598fbe0fa83653e46f50ed |
class JMeterInfoWidget(AbstractInfoWidget, AggregateResultListener): <NEW_LINE> <INDENT> def __init__(self, jmeter): <NEW_LINE> <INDENT> AbstractInfoWidget.__init__(self) <NEW_LINE> self.krutilka = ConsoleScreen.krutilka() <NEW_LINE> self.jmeter = jmeter <NEW_LINE> self.active_threads = 0 <NEW_LINE> self.RPS = 0 <NEW_L... | Right panel widget with JMeter test info | 62598fbe26068e7796d4cb65 |
class _SimplugContextOnly(SimplugContext): <NEW_LINE> <INDENT> pass | The context manager with only given plugins enabled | 62598fbe3617ad0b5ee06350 |
@dataclass <NEW_LINE> class TpChaveNfeRps: <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> name = "tpChaveNFeRPS" <NEW_LINE> <DEDENT> chave_nfe: Optional[TpChaveNfe] = field( default=None, metadata={ "name": "ChaveNFe", "type": "Element", "namespace": "", } ) <NEW_LINE> chave_rps: Optional[TpChaveRps] = field( defa... | Tipo que representa a chave de uma NFSe e a Chave do RPS que a mesma
substitui.
:ivar chave_nfe: Chave da NFSe gerada.
:ivar chave_rps: Chave do RPS substituído. | 62598fbe44b2445a339b6a7b |
class QuestionnaireItemOption(backboneelement.BackboneElement): <NEW_LINE> <INDENT> resource_type = "QuestionnaireItemOption" <NEW_LINE> def __init__(self, jsondict=None, strict=True): <NEW_LINE> <INDENT> self.valueCoding = None <NEW_LINE> self.valueDate = None <NEW_LINE> self.valueInteger = None <NEW_LINE> self.valueS... | Permitted answer.
One of the permitted answers for a "choice" or "open-choice" question. | 62598fbed7e4931a7ef3c29d |
class TestLumpedFissionProduct(unittest.TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> self.fpd = lumpedFissionProduct.FissionProductDefinitionFile( io.StringIO(LFP_TEXT) ) <NEW_LINE> <DEDENT> def test_setGasRemovedFrac(self): <NEW_LINE> <INDENT> lfp = self.fpd.createSingleLFPFromFile("LFP38") <NEW... | Test of the lumped fission product yields | 62598fbe091ae35668704e2f |
class Classifier(BaseEstimator, ClassifierMixin): <NEW_LINE> <INDENT> __metaclass__ = ABCMeta <NEW_LINE> def __init__(self, features=None): <NEW_LINE> <INDENT> self.features = features <NEW_LINE> self.classes_ = None <NEW_LINE> <DEDENT> def _get_train_features(self, X, allow_nans=False): <NEW_LINE> <INDENT> return _get... | Interface to train different **classification** model from different
machine learning libraries, like **Sklearn, TMVA, XGBoost**...
:param features: features used to train model
:type features: list[str] or None
.. note::
* Classes must be from 0 to n_classes-1!!!
* if `features` aren't set (**None**), then ... | 62598fbeff9c53063f51a858 |
class Model(Default): <NEW_LINE> <INDENT> def build(self, dct): <NEW_LINE> <INDENT> self.build_default(dct) <NEW_LINE> return dct <NEW_LINE> <DEDENT> def parse(self, dct): <NEW_LINE> <INDENT> self.parse_default(dct) <NEW_LINE> return self <NEW_LINE> <DEDENT> def __repr__(self): <NEW_LINE> <INDENT> attrs = u", ".join( [... | A model is an object can be serialized and sent over the network, but that
can be saved into the SQL database used by the server. | 62598fbe56ac1b37e63023f8 |
class UserPermissions(DatabaseModel): <NEW_LINE> <INDENT> __tablename__ = "user_permissions" <NEW_LINE> permission_id: int = Column(BigInteger, primary_key=True) <NEW_LINE> user_id: int = Column(BigInteger, ForeignKey("users.user_id"), nullable=False) <NEW_LINE> group_id: int = Column(BigInteger, ForeignKey("groups.gro... | Model for a user's permissions in a group (or all groups). | 62598fbea8370b77170f05eb |
class RunType(enum.Enum): <NEW_LINE> <INDENT> dry_run = 0 <NEW_LINE> interim = 1 <NEW_LINE> final = 2 | Possible run-time options. | 62598fbe7d847024c075c5c7 |
class BidsTsvFile(BidsFile): <NEW_LINE> <INDENT> def __init__(self, file_path, set_contents=False): <NEW_LINE> <INDENT> super().__init__(file_path) <NEW_LINE> self.contents = None <NEW_LINE> if set_contents: <NEW_LINE> <INDENT> self.set_contents() <NEW_LINE> <DEDENT> <DEDENT> def clear_contents(self): <NEW_LINE> <INDEN... | Represents a BIDS TSV file, possibly without its contents. | 62598fbe23849d37ff8512be |
class GridCommand(BaseCommand, SQLFilter, FetchedRowTracker): <NEW_LINE> <INDENT> def __init__(self, **kwargs): <NEW_LINE> <INDENT> BaseCommand.__init__(self, **kwargs) <NEW_LINE> SQLFilter.__init__(self, **kwargs) <NEW_LINE> FetchedRowTracker.__init__(self, **kwargs) <NEW_LINE> self.conn_id = kwargs['conn_id'] if 'con... | class GridCommand(object)
It is a base class for different object type used by data grid.
A different object type must implement this to expose abstract methods.
Class-level Methods:
----------- -------
* get_primary_keys()
- Derived class can implement there own logic to get the primary keys.
* save()
-... | 62598fbe56ac1b37e63023f9 |
class UpdateInstanceView(UpdateView): <NEW_LINE> <INDENT> def get_context_data(self, **kwargs): <NEW_LINE> <INDENT> context = super(UpdateInstanceView, self).get_context_data(**kwargs) <NEW_LINE> context['extmodules'] = MODULES <NEW_LINE> return context <NEW_LINE> <DEDENT> def form_valid(self, form): <NEW_LINE> <INDENT... | Todo:
update providers and banners classes
to update views to use base UpdateInstanceView | 62598fbe167d2b6e312b7181 |
class ElementDefinitionSlicingDiscriminator(element.Element): <NEW_LINE> <INDENT> resource_type = "ElementDefinitionSlicingDiscriminator" <NEW_LINE> def __init__(self, jsondict=None, strict=True): <NEW_LINE> <INDENT> self.path = None <NEW_LINE> self.type = None <NEW_LINE> super(ElementDefinitionSlicingDiscriminator, se... | Element values that are used to distinguish the slices.
Designates which child elements are used to discriminate between the slices
when processing an instance. If one or more discriminators are provided,
the value of the child elements in the instance data SHALL completely
distinguish which slice the element in the r... | 62598fbe97e22403b383b113 |
class mean: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> return None <NEW_LINE> <DEDENT> def __getitem__(self, key): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> return self._dict[key] <NEW_LINE> <DEDENT> except AttributeError: <NEW_LINE> <INDENT> raise meanError("'__getitem__' failed; you must store you... | mean: Top-level class that represents a mean
function Specific mean functions need to inherit from
this class and implement the placeholder functions defined
here | 62598fbead47b63b2c5a7a60 |
class VlanCfg(A10BaseClass): <NEW_LINE> <INDENT> def __init__(self, **kwargs): <NEW_LINE> <INDENT> self.ERROR_MSG = "" <NEW_LINE> self.b_key = "vlan-cfg" <NEW_LINE> self.DeviceProxy = "" <NEW_LINE> self.vlan = "" <NEW_LINE> self.timeout = "" <NEW_LINE> self.priority_cost = "" <NEW_LINE> for keys, value in kwargs.items(... | This class does not support CRUD Operations please use parent.
:param vlan: {"description": "VLAN tracking (VLAN id)", "minimum": 2, "type": "number", "maximum": 4094, "format": "number"}
:param timeout: {"minimum": 2, "type": "number", "maximum": 600, "format": "number"}
:param priority_cost: {"description": "The amo... | 62598fbe656771135c48987a |
@resourceTypeNameInModule("aptrow", aptrowModule) <NEW_LINE> class AptrowResource(Resource): <NEW_LINE> <INDENT> resourceParams = [] <NEW_LINE> def init(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def heading(self): <NEW_LINE> <INDENT> return "Aptrow" <NEW_LINE> <DEDENT> def html(self, view): <NEW_LINE> <INDENT... | A resource representing the Aptrow application itself | 62598fbe55399d3f05626720 |
class HomeAssistantAuthError(HomeAssistantAPIError): <NEW_LINE> <INDENT> pass | Home Assistant Auth API exception. | 62598fbe283ffb24f3cf3a8e |
class CustomLossModel(Model): <NEW_LINE> <INDENT> def _build_layers_v2(self, input_dict, num_outputs, options): <NEW_LINE> <INDENT> self.obs_in = input_dict["obs"] <NEW_LINE> with tf.variable_scope("shared", reuse=tf.AUTO_REUSE): <NEW_LINE> <INDENT> self.fcnet = FullyConnectedNetwork(input_dict, self.obs_space, self.ac... | Custom model that adds an imitation loss on top of the policy loss. | 62598fbe7d43ff248742750a |
class NumericalConstant(Token): <NEW_LINE> <INDENT> def __repr__(self): <NEW_LINE> <INDENT> return "NumericalConstant(line={!r},col={!r},prev_white={!r},value={!r})".format( self.line, self.col, self.prev_white, self.token) | Represents a 'preprocessing number'.
These cannot necessarily be evaluated by the preprocessor (and may
not be valid syntax). | 62598fbe099cdd3c636754e8 |
class Extension(object): <NEW_LINE> <INDENT> dist_name = None <NEW_LINE> ext_name = None <NEW_LINE> version = None <NEW_LINE> def get_default_config(self): <NEW_LINE> <INDENT> raise NotImplementedError( 'Add at least a config section with "enabled = true"') <NEW_LINE> <DEDENT> def get_config_schema(self): <NEW_LINE> <I... | Base class for Mopidy extensions | 62598fbef9cc0f698b1c53d5 |
class TestBranchMethodStandardAdd(BaseTest): <NEW_LINE> <INDENT> def test_subprocess_called_correctly(self): <NEW_LINE> <INDENT> fix = BranchMethodStandardAdd('1.nc', '/a') <NEW_LINE> fix.apply_fix() <NEW_LINE> self.mock_subprocess.assert_called_once_with( "ncatted -h -a branch_method,global,o,c,'standard' " "/a/1.nc",... | Test BranchMethodStandardAdd | 62598fbed486a94d0ba2c1dc |
class LogisticModel(object): <NEW_LINE> <INDENT> def build_model(self, model_input, vocab_size, l2_penalty=None, **unused_params): <NEW_LINE> <INDENT> logit = fluid.layers.fc( input = model_input, size = vocab_size, act = None, name = 'logits_clf', param_attr = fluid.ParamAttr(name = 'logistic.weights', initializer = f... | Logistic model with L2 regularization. | 62598fbe796e427e5384e9a1 |
class temperature(object): <NEW_LINE> <INDENT> legal_units = [ "F", "C", "K" ] <NEW_LINE> def __init__( self, value, units="C" ): <NEW_LINE> <INDENT> if not units.upper() in temperature.legal_units: <NEW_LINE> <INDENT> raise UnitsError("unrecognized temperature unit: '"+units+"'") <NEW_LINE> <DEDENT> self._units = unit... | A class representing a temperature value. | 62598fbeaad79263cf42e9e1 |
class BilingualConverter(SubtitleConverter): <NEW_LINE> <INDENT> def __init__(self, input, output, output2, rawOutput=None,rawOutput2=None, language=None,language2=None, meta=None, encoding=None, alwaysSplit=False): <NEW_LINE> <INDENT> SubtitleConverter.__init__(self, input, output, rawOutput, language, meta, encoding,... | Special converter for handling bilingual subtitles (with the first line
of each block in one language, and the second line in another). | 62598fbe3d592f4c4edbb0ca |
class SimpleCache(BaseCache): <NEW_LINE> <INDENT> def __init__(self, threshold=500, default_timeout=300, **kwargs): <NEW_LINE> <INDENT> super(SimpleCache, self).__init__(default_timeout, **kwargs) <NEW_LINE> self._cache = {} <NEW_LINE> self.threshold = threshold <NEW_LINE> <DEDENT> def _prune(self): <NEW_LINE> <INDENT>... | Simply memory cache for single process environments. This class
exists mainly for a development server and is not 100% thread safe.
:param threshold: the maximum number of items the cache stores
before it starts evicting keys. | 62598fbe1f5feb6acb162e2c |
class SimpleProduct(BaseProduct): <NEW_LINE> <INDENT> _validation = { 'product_id': {'required': True}, 'capacity': {'constant': True}, } <NEW_LINE> _attribute_map = { 'product_id': {'key': 'base_product_id', 'type': 'str'}, 'description': {'key': 'base_product_description', 'type': 'str'}, 'max_product_display_name': ... | The product documentation.
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 product_id: Required. Unique identifier representing a specific product for a given
latitude & longitude. For example, uberX ... | 62598fbea219f33f346c6a13 |
class FcDelegationLock(NetAppObject): <NEW_LINE> <INDENT> _mode = None <NEW_LINE> @property <NEW_LINE> def mode(self): <NEW_LINE> <INDENT> return self._mode <NEW_LINE> <DEDENT> @mode.setter <NEW_LINE> def mode(self, val): <NEW_LINE> <INDENT> if val != None: <NEW_LINE> <INDENT> self.validate('mode', val) <NEW_LINE> <DED... | Information about FlexCache delegations | 62598fbe656771135c48987c |
class RenKeyWin(QDialog): <NEW_LINE> <INDENT> def __init__(self, style, parent=None): <NEW_LINE> <INDENT> super().__init__(parent) <NEW_LINE> self.setWindowTitle('Rename RSA keys — KRIS') <NEW_LINE> main_lay = QGridLayout() <NEW_LINE> self.setLayout(main_lay) <NEW_LINE> main_lay.addWidget(QLabel("Keys' name :"), 0, 0) ... | Class which define a window which allow to rename RSA keys. | 62598fbef9cc0f698b1c53d6 |
class CategoryListSerializer(serializers.ModelSerializer): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> model = JobCategory <NEW_LINE> fields = ('id','o_net_soc_code','category_name','description') | serializer for to Category | 62598fbe956e5f7376df5785 |
class ConfuMatrix(): <NEW_LINE> <INDENT> def __init__(self, a=0, b=0, c=0, d=0): <NEW_LINE> <INDENT> self.a = a <NEW_LINE> self.b = b <NEW_LINE> self.c = c <NEW_LINE> self.d = d <NEW_LINE> <DEDENT> def accuracy(self): <NEW_LINE> <INDENT> if not self.a + self.b + self.c + self.d: <NEW_LINE> <INDENT> return None <NEW_LIN... | Calculates confusion matrix.
Further information:
http://en.wikipedia.org/wiki/Binary_classification
http://en.wikipedia.org/wiki/Sensitivity_and_specificity | 62598fbed7e4931a7ef3c2a1 |
class Node: <NEW_LINE> <INDENT> def __init__(self, state, parent=None, action=None, path_cost=0): <NEW_LINE> <INDENT> update(self, state=state, parent=parent, action=action, path_cost=path_cost, depth=0) <NEW_LINE> global currentstate <NEW_LINE> currentstate = state <NEW_LINE> if parent: <NEW_LINE> <INDENT> self.depth ... | A node in a search tree. Contains a pointer to the parent (the node
that this is a successor of) and to the actual state for this node. Note
that if a state is arrived at by two paths, then there are two nodes with
the same state. Also includes the action that got us to this state, and
the total path_cost (also known ... | 62598fbe21bff66bcd722e78 |
class SeamlessInlineFormRendererMixIn(object): <NEW_LINE> <INDENT> def render_fields(self): <NEW_LINE> <INDENT> rendered_fields = [] <NEW_LINE> for field in self.form: <NEW_LINE> <INDENT> if isinstance(field.field, InlineFormFieldMixIn): <NEW_LINE> <INDENT> fields = [sub_field for sub_field in field] <NEW_LINE> <DEDENT... | Render fields from InlineFormFields as if the fields were part of the parent
form.
TODO: How to deal with non-field-errors of the inline form? | 62598fbe9f28863672818982 |
@python_2_unicode_compatible <NEW_LINE> class UserProfile(models.Model): <NEW_LINE> <INDENT> user = models.OneToOneField(User, verbose_name=_("user"), related_name="profile") <NEW_LINE> timezone = models.CharField(_("timezone"), max_length=64, choices=get_timezone_choices(), default=settings.TIME_ZONE) <NEW_LINE> langu... | Extends native User model with one-to-one relation.
| 62598fbe8a349b6b4368644b |
class IHCSensor(IHCDevice, Entity): <NEW_LINE> <INDENT> def __init__(self, ihccontroller, name, ihcid, sensortype, unit, ihcname, ihcnote, ihcposition): <NEW_LINE> <INDENT> IHCDevice.__init__(self, ihccontroller, name, ihcid, ihcname, ihcnote, ihcposition) <NEW_LINE> self._state = None <NEW_LINE> self._icon = None <NEW... | Implementation of the IHC sensor. | 62598fbe56ac1b37e63023fc |
class BookFactory(Factory): <NEW_LINE> <INDENT> def create_library_item(self, call_number, title, num_copies) -> Book: <NEW_LINE> <INDENT> author = input("Enter Author Name: ") <NEW_LINE> return Book(call_number, title, num_copies, author) | Factory that creates a Book. | 62598fbed268445f26639c8b |
class SchedulerPluginLogsSchema(BaseSchema): <NEW_LINE> <INDENT> files = fields.Nested( SchedulerPluginFileSchema, required=True, many=True, metadata={"update_policy": UpdatePolicy.UNSUPPORTED, "update_key": "FilePath"}, ) <NEW_LINE> @post_load <NEW_LINE> def make_resource(self, data, **kwargs): <NEW_LINE> <INDENT> ret... | Represent the schema of the Scheduler Plugin Logs. | 62598fbe5fc7496912d48382 |
class Consumer(Base): <NEW_LINE> <INDENT> __tablename__ = 'consumer' <NEW_LINE> __table_args__ = {"schema": "proxy"} <NEW_LINE> id = Column(Integer, Sequence("sqlachemy_sequence"), primary_key=True) <NEW_LINE> name = Column(String) <NEW_LINE> unite = Column(String) <NEW_LINE> metaname = Column(String) <NEW_LINE> metava... | Model Consumer | 62598fbf60cbc95b0636454b |
class UserSite(_AdminSite): <NEW_LINE> <INDENT> site_title = _('IDoneIt') <NEW_LINE> site_header = _('IDoneIt workspace') <NEW_LINE> index_title = _('Workspace') <NEW_LINE> login_form = UserAdminAuthenticationForm <NEW_LINE> login_template = 'admin/registration/login.html' <NEW_LINE> def has_permission(self, request): ... | Переопределение сайта администратора для использования в качестве кабинета пользователя. | 62598fbf099cdd3c636754ea |
class EncCom: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.k1: bytes = None <NEW_LINE> self.k2: bytes = None <NEW_LINE> self.u: bytes = None <NEW_LINE> self.v: bytes = None <NEW_LINE> <DEDENT> def decode(self, decoder: Fernet) -> PlaintextSVR: <NEW_LINE> <INDENT> k1 = decoder.decrypt(self.k1) <NEW_L... | EncCom represents one encrypted commitment to a SVR tuple (u, v) and the
encrypted encryption keys used to make the commitment. | 62598fbfa05bb46b3848aa7b |
class CommonTests(ut.TestCase): <NEW_LINE> <INDENT> system = espressomd.System(box_l=[1.0, 1.0, 1.0]) <NEW_LINE> system.box_l = 3 * [npart] <NEW_LINE> system.cell_system.skin = 0.4 <NEW_LINE> system.time_step = 0.01 <NEW_LINE> written_pos = None <NEW_LINE> written_bonds = None <NEW_LINE> written_atoms = None <NEW_LINE>... | Class that holds common test methods. | 62598fbf92d797404e388c6a |
class TestApplicationApi(unittest.TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> self.api = ApplicationApi() <NEW_LINE> <DEDENT> def tearDown(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def test_get_info(self): <NEW_LINE> <INDENT> pass | ApplicationApi unit test stubs | 62598fbf3d592f4c4edbb0cc |
class Line: <NEW_LINE> <INDENT> def __init__(self,a,b,vert=False,x=0): <NEW_LINE> <INDENT> self.a = a <NEW_LINE> self.b = b <NEW_LINE> self.vert = vert <NEW_LINE> self.x = x <NEW_LINE> <DEDENT> def is_point_up(self,p): <NEW_LINE> <INDENT> if self.vert: <NEW_LINE> <INDENT> return p.x == self.x <NEW_LINE> <DEDENT> return... | Represents a line : y = ax+b | 62598fbf3d592f4c4edbb0cd |
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 user profile inside our system | 62598fbf5166f23b2e2435ef |
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