code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
|---|---|---|
@register(Tag.PLACED_LAYER1) <NEW_LINE> @register(Tag.PLACED_LAYER2) <NEW_LINE> @attr.s(repr=False, slots=True) <NEW_LINE> class PlacedLayerData(BaseElement): <NEW_LINE> <INDENT> kind = attr.ib(default=b'plcL', type=bytes) <NEW_LINE> version = attr.ib(default=3, type=int, validator=in_((3, ))) <NEW_LINE> uuid = attr.ib... | PlacedLayerData structure. | 62598f8723e79379d538bff8 |
class Service(object): <NEW_LINE> <INDENT> running = False <NEW_LINE> name = None <NEW_LINE> def __init__(self, app=None): <NEW_LINE> <INDENT> if app: <NEW_LINE> <INDENT> self.init_app(app) <NEW_LINE> <DEDENT> <DEDENT> def init_app(self, app): <NEW_LINE> <INDENT> app.services[self.name] = self <NEW_LINE> <DEDENT> def s... | Base class for services. | 62598f873617ad0b5ee05c3f |
class Classifier: <NEW_LINE> <INDENT> def fit(self,dataset): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def predict(self,dataset): <NEW_LINE> <INDENT> return [self.predict_instance(x) for x in dataset.data] <NEW_LINE> <DEDENT> def predict_instance(self,instance): <NEW_LINE> <INDENT> return 'Iris-setosa'; | A learning classifier with a hard-coded algorithim | 62598f8796565a6dacd2ccf6 |
class ConfigHook(hooks.PecanHook): <NEW_LINE> <INDENT> def __init__(self, conf): <NEW_LINE> <INDENT> self.conf = conf <NEW_LINE> self.enforcer = policy.Enforcer(conf, default_rule="default") <NEW_LINE> <DEDENT> def before(self, state): <NEW_LINE> <INDENT> state.request.cfg = self.conf <NEW_LINE> state.request.enforcer ... | Attach the configuration and policy enforcer object to the request.
That allows controllers to get it. | 62598f87a79ad16197769b5f |
class Income(models.Model): <NEW_LINE> <INDENT> type = models.IntegerField(choices=choices.INCOME_TYPE, default=7) <NEW_LINE> frequency = models.IntegerField(choices=choices.FREQENCY, default=7) <NEW_LINE> amount = models.DecimalField(max_digits=10, decimal_places=2) <NEW_LINE> notes = models.CharField(max_length=150) ... | User inputs all types of income | 62598f870fa83653e46f49eb |
class RoleListSerializer(serializers.ModelSerializer): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> model = Role <NEW_LINE> fields = '__all__' <NEW_LINE> depth = 1 | 角色列表序列化 | 62598f87c432627299fa2acd |
class HttpRequest(object): <NEW_LINE> <INDENT> def __init__(self, environment): <NEW_LINE> <INDENT> self._environment = environment <NEW_LINE> self.path = environment.get('PATH_INFO', '').lstrip('/') <NEW_LINE> self.method = environment.get('REQUEST_METHOD') <NEW_LINE> if environment.get('HTTP_HOST'): <NEW_LINE> <INDEN... | WSGI Request helper class | 62598f8763d6d428bbee22b5 |
class SHA1(): <NEW_LINE> <INDENT> _h0, _h1, _h2, _h3, _h4, = ( 0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0) <NEW_LINE> def __init__(self, message): <NEW_LINE> <INDENT> length = struct.pack('>Q', len(message) * 8) <NEW_LINE> while len(message) > 64: <NEW_LINE> <INDENT> self._handle(message[:64]) <NEW_LINE... | MD5类，输入message，输出md5摘要值 | 62598f87b57a9660fecd1579 |
class TdFilterCheckType(Enum): <NEW_LINE> <INDENT> AREA = 1 <NEW_LINE> WIDTH = 2 <NEW_LINE> HEIGHT = 4 <NEW_LINE> PERIMETER = 8 <NEW_LINE> ASPECTRATIO = 16 <NEW_LINE> OCCUPIEDRATIO = 32 <NEW_LINE> COMPACTNESS = 64 <NEW_LINE> SWT = 128 | 需要检查的类型 | 62598f878a43f66fc4bf1c7f |
class ConfirmTemplate(Template): <NEW_LINE> <INDENT> def __init__(self, text=None, actions=None, **kwargs): <NEW_LINE> <INDENT> super(ConfirmTemplate, self).__init__(**kwargs) <NEW_LINE> self.type = 'confirm' <NEW_LINE> self.text = text <NEW_LINE> self.actions = get_actions(actions) | ConfirmTemplate.
https://devdocs.line.me/en/#confirm
Template message with two action buttons. | 62598f870383005118f6d1f8 |
class FigureManager(object): <NEW_LINE> <INDENT> def __init__(self, fig): <NEW_LINE> <INDENT> self.fig = fig <NEW_LINE> self.fig.clear() <NEW_LINE> self.axes = [AxesManager(fig.add_subplot(111))] <NEW_LINE> self._current_index = 0 <NEW_LINE> self._axrow_count = 1 <NEW_LINE> <DEDENT> @property <NEW_LINE> def current_ind... | object to simplify editing figure settings | 62598f87a4f1c619b294e0ea |
class Prodigal(object): <NEW_LINE> <INDENT> def __init__(self, user_path = None, id_type = 'meta', verbose = True): <NEW_LINE> <INDENT> self.user_path = user_path <NEW_LINE> self.verbose = verbose <NEW_LINE> path_check('prodigal', self.user_path) <NEW_LINE> if id_type == 'meta': <NEW_LINE> <INDENT> self.id_type = 'meta... | Runs Prodigal | 62598f8710dbd63aa1c706b1 |
class distributions(object): <NEW_LINE> <INDENT> your_organization = 0 <NEW_LINE> this_community = 1 <NEW_LINE> connected_communities = 2 <NEW_LINE> all_communities = 3 | Enumeration of the available distributions. | 62598f87d99f1b3c44d051ab |
class DirectoryFixTypeTest(TestCase): <NEW_LINE> <INDENT> @patch('bundlewrap.items.directories.Directory._fix_mode') <NEW_LINE> @patch('bundlewrap.items.directories.Directory._fix_owner') <NEW_LINE> def test_rm(self, fix_mode, fix_owner): <NEW_LINE> <INDENT> node = MagicMock() <NEW_LINE> bundle = MagicMock() <NEW_LINE>... | Tests bundlewrap.items.directories.Directory._fix_type. | 62598f878a349b6b43685d42 |
class HiddenTransform(nn.Module): <NEW_LINE> <INDENT> def __init__(self, input_shape, output_shape, activation='tanh', bias=True, batch_first=False): <NEW_LINE> <INDENT> super(HiddenTransform, self).__init__() <NEW_LINE> self.batch_first = batch_first <NEW_LINE> self.activation = nn.Tanh() if activation == 'tanh' else ... | docstring for [object Object]. | 62598f87711fe17d825e01e8 |
class ResourceOptions(object): <NEW_LINE> <INDENT> serializer = Serializer() <NEW_LINE> authentication = Authentication() <NEW_LINE> authorization = ReadOnlyAuthorization() <NEW_LINE> cache = NoCache() <NEW_LINE> throttle = BaseThrottle() <NEW_LINE> validation = Validation() <NEW_LINE> paginator_class = Paginator <NEW_... | A configuration class for ``Resource``.
Provides sane defaults and the logic needed to augment these settings with
the internal ``class Meta`` used on ``Resource`` subclasses. | 62598f8707d97122c42167a3 |
class FLoss(nn.Module): <NEW_LINE> <INDENT> def __init__(self, gamma=2., weight=None, size_average=True): <NEW_LINE> <INDENT> super(FLoss, self).__init__() <NEW_LINE> self.gamma = gamma <NEW_LINE> self.weight = weight <NEW_LINE> self.size_average = size_average <NEW_LINE> <DEDENT> def __repr__(self): <NEW_LINE> <INDENT... | Focal Loss
Lin, Tsung-Yi, et al. "Focal loss for dense object detection." Proceedings of the IEEE international conference on computer vision. 2017.
(modified from https://github.com/umbertogriffo/focal-loss-keras/blob/master/losses.py) | 62598f8782261d6c5272fc53 |
@dev((1,0,0)) <NEW_LINE> class WAITING_FOR_REPLY(object): <NEW_LINE> <INDENT> def __init__(self, reqid): <NEW_LINE> <INDENT> self._reqid = reqid <NEW_LINE> self._reply = None <NEW_LINE> <DEDENT> @property <NEW_LINE> @dev((1,0,0)) <NEW_LINE> def reply(self): <NEW_LINE> <INDENT> return self._reply <NEW_LINE> <DEDENT> @pr... | The ``ClientConnection`` has sent a message to the Bokeh Server which
should generate a paired reply, and is waiting for the reply. | 62598f87e76e3b2f99fd8535 |
class Profile(models.Model): <NEW_LINE> <INDENT> avatar = models.ImageField(upload_to='avatars',storage='s3boto', blank=True, null=True) <NEW_LINE> posts = models.IntegerField(default=0, blank=True, null=True) <NEW_LINE> user = models.ForeignKey(User, unique=True) <NEW_LINE> first_name = models.CharField(max_length=30,... | Profile model with a one to one relation with a user,
first name, last name, avatar, hometown, bio, and posts. | 62598f87d53ae8145f917f8d |
class DcosAuth(requests.auth.AuthBase): <NEW_LINE> <INDENT> def __init__(self, auth_token: str): <NEW_LINE> <INDENT> self.auth_token = auth_token <NEW_LINE> <DEDENT> def __call__(self, request): <NEW_LINE> <INDENT> request.headers['Authorization'] = 'token={}'.format(self.auth_token) <NEW_LINE> return request | Child of AuthBase for specifying how to handle DC/OS auth per request
:param auth_token: token generated by authenticating with access control
:type auth_token: str | 62598f87462c4b4f79dbb501 |
class MetricsPostBodySchemaParameters(Model): <NEW_LINE> <INDENT> _validation = { 'metric_id': {'required': True}, } <NEW_LINE> _attribute_map = { 'metric_id': {'key': 'metricId', 'type': 'str'}, 'timespan': {'key': 'timespan', 'type': 'str'}, 'aggregation': {'key': 'aggregation', 'type': '[MetricsAggregation]'}, 'inte... | The parameters for a single metrics query.
All required parameters must be populated in order to send to Azure.
:param metric_id: Required. Possible values include: 'requests/count',
'requests/duration', 'requests/failed', 'users/count',
'users/authenticated', 'pageViews/count', 'pageViews/duration',
'client/proce... | 62598f87d4950a0f3b110bb4 |
class GridLookup(object): <NEW_LINE> <INDENT> def __init__(self, grid, max_word_length): <NEW_LINE> <INDENT> self.grid_lookup = {} <NEW_LINE> self.max_word_length = max_word_length <NEW_LINE> for index, _, row, col in grid.get_letter_data(max_word_length): <NEW_LINE> <INDENT> self._index_grid_sequence(index, row) <NEW_... | Responsible for indexing a grid for faster lookups of a word, either by checking for an exact match or
retrieving a list of possible positions in the grid for longer words.
The grid is stored as a tree, using dictionaries. Each letter is indexed along with the next x letters
that appear horizontally and vertically, x ... | 62598f8715baa72349461a7c |
class WeightedCharacter: <NEW_LINE> <INDENT> def __init__( self, gdf, values, spatial_weights, unique_id, areas=None, verbose=True ): <NEW_LINE> <INDENT> self.gdf = gdf <NEW_LINE> self.sw = spatial_weights <NEW_LINE> self.id = gdf[unique_id] <NEW_LINE> data = gdf.copy() <NEW_LINE> if areas is None: <NEW_LINE> <INDENT> ... | Calculates the weighted character
Character weighted by the area of the objects within neighbors defined
in ``spatial_weights``.
.. math::
\frac{\sum_{i=1}^{n} {character_{i} * area_{i}}}{\sum_{i=1}^{n} area_{i}}
Adapted from :cite:`dibble2017`.
Parameters
----------
gdf : GeoDataFrame
GeoDataFrame containi... | 62598f873617ad0b5ee05c41 |
class MultiLookupRouterWithPatchList(MultiLookupRouter): <NEW_LINE> <INDENT> @staticmethod <NEW_LINE> def make_routes(template_text): <NEW_LINE> <INDENT> return routers.Route( url=r'^{prefix}/{%s}{trailing_slash}$' % template_text, mapping={ 'get': 'list', 'post': 'create', 'patch': 'modify' }, name='{basename}-list', ... | This class only extends MultiLookupRouter to allow PATCH method on list endpoint | 62598f87b830903b9686e1f1 |
class moving_average_ii(object): <NEW_LINE> <INDENT> thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag') <NEW_LINE> def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") <NEW_LINE> __repr__ = _swig_repr <NEW_LINE> def ... | output is the moving sum of the last N samples, scaled by the scale factor
Constructor Specific Documentation:
Create a moving average block.
Args:
length : Number of samples to use in the average.
scale : scale factor for the result.
max_iter : limits how long we go without flushing the accumulator This... | 62598f8773bcbd0ca4bc9d51 |
class User(webapp2_extras.appengine.auth.models.User): <NEW_LINE> <INDENT> def set_password(self, raw_password): <NEW_LINE> <INDENT> self.password = security.generate_password_hash(raw_password, length=12) <NEW_LINE> <DEDENT> @classmethod <NEW_LINE> def get_by_auth_token(cls, user_id, token, subject='auth'): <NEW_LINE>... | Many of the method here have been copied from the webapp2 core
because dolphin. | 62598f8738b623060ffa8b95 |
class Meanabs(Aggregator): <NEW_LINE> <INDENT> def __call__(self, array): <NEW_LINE> <INDENT> return np.mean(np.abs(array)) | The mean of the absolute values of the array | 62598f87498bea3a75a57622 |
class VectorCNN: <NEW_LINE> <INDENT> def __init__(self, model_path, device='CPU', max_reqs=100): <NEW_LINE> <INDENT> self.max_reqs = max_reqs <NEW_LINE> self.net = load_ie_model(model_path, device, None, num_reqs=self.max_reqs) <NEW_LINE> <DEDENT> def forward(self, batch): <NEW_LINE> <INDENT> assert len(batch) <= self.... | Wrapper class for a network returning a vector | 62598f878e05c05ec3f6ebc7 |
class EPUWorkerService(BaseService): <NEW_LINE> <INDENT> pass | EPU Worker service interface
| 62598f87a17c0f6771d5bd41 |
class CategorySelectWidget(RadioSelect): <NEW_LINE> <INDENT> renderer = CategorySelectRenderer | Mainly duplicated from django.forms.widgets
Adds extra attributes to the markup | 62598f8723849d37ff850bbd |
class Task(models.Model): <NEW_LINE> <INDENT> name = models.CharField(max_length=200) <NEW_LINE> completions = models.IntegerField(default=10, blank=True, null=True) <NEW_LINE> documents = models.ManyToManyField('document.Document', through='DocumentQuestRelationship', blank=True) <NEW_LINE> users = models.ManyToManyFi... | This is an ER Quest, tracks whose completed it and what documents are contained within
the Quest
* Originally called Task when training was going to be dynamic, a TODO is remove all
'Training' references from this model | 62598f87d10714528d69d9cf |
class ListPublicGistsInputSet(InputSet): <NEW_LINE> <INDENT> def set_Page(self, value): <NEW_LINE> <INDENT> InputSet._set_input(self, 'Page', value) | An InputSet with methods appropriate for specifying the inputs to the ListPublicGists
Choreo. The InputSet object is used to specify input parameters when executing this Choreo. | 62598f8782261d6c5272fc54 |
class InvertedFilter(UpdateFilter): <NEW_LINE> <INDENT> def __init__(self, f: BaseFilter): <NEW_LINE> <INDENT> self.f = f <NEW_LINE> <DEDENT> def filter(self, update: Update) -> bool: <NEW_LINE> <INDENT> return not bool(self.f(update)) <NEW_LINE> <DEDENT> def __repr__(self) -> str: <NEW_LINE> <INDENT> return "<inverted... | Represents a filter that has been inverted.
Args:
f: The filter to invert. | 62598f87d10714528d69d9d0 |
class CustomProgressBar(urwid.ProgressBar): <NEW_LINE> <INDENT> semi = u'\u2582' <NEW_LINE> def get_text(self): <NEW_LINE> <INDENT> return min(100, max(0, int(self.current * 100 / self.done))) <NEW_LINE> <DEDENT> def get_current(self): <NEW_LINE> <INDENT> return self.current <NEW_LINE> <DEDENT> def get_done(self): <NEW... | ProgressBar that displays a semigraph instead of a percentage | 62598f8716aa5153ce400002 |
class EventImageSerializer(serializers.HyperlinkedModelSerializer): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> model = EventImage <NEW_LINE> fields = ('id', 'image', 'position') | EventImageSerializer class | 62598f87d53ae8145f917f8f |
class KeyInfo(object): <NEW_LINE> <INDENT> def __init__(self, required, help, type, persistent): <NEW_LINE> <INDENT> self.required = required <NEW_LINE> self.type = type <NEW_LINE> self.help = help <NEW_LINE> self.persistent = persistent | Key configuration item storage object.
| 62598f87be383301e02532fb |
class NoMutation: <NEW_LINE> <INDENT> def mutate(self, org): <NEW_LINE> <INDENT> return org.copy() | Simple 'mutation' class that doesn't do anything.
| 62598f878e71fb1e983bb5b1 |
class Card(models.Model): <NEW_LINE> <INDENT> cardid = models.CharField(max_length=20) <NEW_LINE> name = models.CharField(max_length=10) <NEW_LINE> user = models.ForeignKey("user.User",on_delete=models.CASCADE,related_name="cards") <NEW_LINE> class Meta: <NEW_LINE> <INDENT> db_table = "Card" <NEW_LINE> <DEDENT> def __s... | 信用卡 | 62598f87bde94217f37073e6 |
class Image(Base): <NEW_LINE> <INDENT> __tablename__ = 'images' <NEW_LINE> id = sa.Column(sa.Integer, primary_key=True) <NEW_LINE> time = sa.Column( sa.String(len(coils.time2string(dt.datetime.now()))), unique=True) <NEW_LINE> def __init__(self, tstamp): <NEW_LINE> <INDENT> self.time = coils.time2string(tstamp) <NEW_LI... | Mapping for "images" table. | 62598f87507cdc57c63a488d |
class GroupViewSet(viewsets.ModelViewSet): <NEW_LINE> <INDENT> queryset = Group.objects.all() <NEW_LINE> serializer_class = GroupSerializer <NEW_LINE> permission_classes = [permissions.IsAuthenticated] | 用户组视图集合 | 62598f876fb2d068a7693baf |
class _GatherLayerBroadcaster(_LayerBroadcaster): <NEW_LINE> <INDENT> def __init__(self, gather_index): <NEW_LINE> <INDENT> gather_index = ops.convert_to_tensor(gather_index) <NEW_LINE> if (gather_index.dtype != dtypes.int64 and gather_index.dtype != dtypes.int32): <NEW_LINE> <INDENT> raise ValueError("gather_index mus... | Implements _LayerBroadcaster with an explicit gather_index.
For example, suppose that the source shape is:
[*],[*,*]
And the target shape is:
[*],[*,*],[*],[*,*]
Then, this can be represented with a map:
[0,1,2,0,1,2] | 62598f87c432627299fa2ad1 |
class FormatCBFMiniPilatusDLS6MSN100(FormatCBFMiniPilatus): <NEW_LINE> <INDENT> @staticmethod <NEW_LINE> def understand(image_file): <NEW_LINE> <INDENT> header = FormatCBFMiniPilatus.get_cbf_header(image_file) <NEW_LINE> for record in header.split("\n"): <NEW_LINE> <INDENT> if ( "# Detector" in record and "PILATUS" in ... | A class for reading mini CBF format Pilatus images for 6M SN 100 @ DLS. | 62598f87287bf620b62716b6 |
class ALESimpleManager: <NEW_LINE> <INDENT> def __init__(self, ale_experiment): <NEW_LINE> <INDENT> self.ale_experiment = ale_experiment <NEW_LINE> <DEDENT> def run_single_game(self, nn_parameters, logging=True, **kwargs): <NEW_LINE> <INDENT> game_parameters = copy.copy(self.ale_experiment.ale_parameters) <NEW_LINE> fo... | Creates internal experiment based on parameter inputs.
Allows running single game | 62598f87b5575c28eb712a48 |
class BaseType(object): <NEW_LINE> <INDENT> def __init__(self, obj_type, attribute_name = None, fixed = True): <NEW_LINE> <INDENT> if attribute_name: <NEW_LINE> <INDENT> self.__attribute_name = "__{0}".format(attribute_name) <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> self.__attribute_name = "__{0:x}".format(random.g... | Base for managable types. It's type can only be set if allowed by
__contains__ method. Otherwise AttributeError exception is raised.
Child classes should define policy by overloading __contains__ operator,
e.g.:
class Human(BaseType):
genders = set(["male", "female"])
def __init__(self, gender):
... | 62598f87498bea3a75a57624 |
class UserManager(object): <NEW_LINE> <INDENT> def __init__(self, base_url='https://peprodscussu2.portalext.visualstudio.com', creds=None): <NEW_LINE> <INDENT> self._config = Configuration(base_url=base_url) <NEW_LINE> self._client = ServiceClient(creds, self._config) <NEW_LINE> client_models = {k: v for k, v in models... | Get details about a user
Attributes:
See BaseManager | 62598f8707d97122c42167a6 |
class ListVpnSitesResult(msrest.serialization.Model): <NEW_LINE> <INDENT> _attribute_map = { 'value': {'key': 'value', 'type': '[VpnSite]'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } <NEW_LINE> def __init__( self, **kwargs ): <NEW_LINE> <INDENT> super(ListVpnSitesResult, self).__init__(**kwargs) <NEW_LINE> sel... | Result of the request to list VpnSites. It contains a list of VpnSites and a URL nextLink to get the next set of results.
:param value: List of VpnSites.
:type value: list[~azure.mgmt.network.v2019_12_01.models.VpnSite]
:param next_link: URL to get the next set of operation list results if there are any.
:type next_li... | 62598f8729b78933be269e5b |
class IMeasureWizardSourceType(IMeasureSourceType, IMeasureWizardSubform): <NEW_LINE> <INDENT> pass | Choose form data-source type (branch point in wizard decision tree) | 62598f87a05bb46b3848a37b |
class AuthoritiesList(AuthenticatedResource): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.reqparse = reqparse.RequestParser() <NEW_LINE> super(AuthoritiesList, self).__init__() <NEW_LINE> <DEDENT> @validate_schema(None, authorities_output_schema) <NEW_LINE> def get(self): <NEW_LINE> <INDENT> parser... | Defines the 'authorities' endpoint | 62598f87596a897236127774 |
class NoOperationHandler(webapp2.RequestHandler): <NEW_LINE> <INDENT> def noop(self): <NEW_LINE> <INDENT> self.response.write('NO-OP') <NEW_LINE> self.error(404) <NEW_LINE> <DEDENT> def get(self, *args, **kwargs): <NEW_LINE> <INDENT> return self.noop() <NEW_LINE> <DEDENT> def post(self, *args, **kwargs): <NEW_LINE> <IN... | Does nothing. | 62598f87fbf16365ca793bac |
class Question(models.Model): <NEW_LINE> <INDENT> question_text = models.CharField(max_length=200) <NEW_LINE> pub_date = models.DateTimeField('date published') <NEW_LINE> def was_published_recently(self): <NEW_LINE> <INDENT> return self.pub_date >= timezone.now() - datetime.timedelta(days=1) <NEW_LINE> <DEDENT> def __s... | The model for a question. | 62598f87d10714528d69d9d1 |
class TestGroupsV2GroupPotentialMembership(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 testGroupsV2GroupPotentialMembership(self): <NEW_LINE> <INDENT> pass | GroupsV2GroupPotentialMembership unit test stubs | 62598f8771ff763f4b5e7270 |
class TestTranslatedHelp(tests.TestCaseWithTransport): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> super(TestTranslatedHelp, self).setUp() <NEW_LINE> self.overrideAttr(i18n, '_translations', ZzzTranslations()) <NEW_LINE> <DEDENT> def test_help_command_utf8(self): <NEW_LINE> <INDENT> out, err = self.run_bzr... | Tests for display of translated help topics | 62598f8763b5f9789fe84c72 |
class E5LineEditSideWidget(QWidget): <NEW_LINE> <INDENT> sizeHintChanged = pyqtSignal() <NEW_LINE> def __init__(self, parent=None): <NEW_LINE> <INDENT> super(E5LineEditSideWidget, self).__init__(parent) <NEW_LINE> <DEDENT> def event(self, evt): <NEW_LINE> <INDENT> if evt.type() == QEvent.LayoutRequest: <NEW_LINE> <INDE... | Class implementing the side widgets for the line edit class. | 62598f878e71fb1e983bb5b2 |
class OBOParser(object): <NEW_LINE> <INDENT> def __init__(self, file): <NEW_LINE> <INDENT> self.file = file <NEW_LINE> <DEDENT> def parse(self, progress_callback=None): <NEW_LINE> <INDENT> data = self.file.read() <NEW_LINE> header = data[: data.index("\n[")] <NEW_LINE> body = data[data.index("\n[") + 1:] <NEW_LINE> for... | A simple parser for .obo files (inspired by xml.dom.pulldom)
>>> from six import StringIO
>>> file = StringIO('''
... header_tag: header_value
... [Term]
... id: FOO:001 { modifier=bar } ! comment
... ''')
>>> parser = OBOParser(file)
>>> for event, value in parser:
... print(event, value)
...
HEADER_TAG ['header_... | 62598f87507cdc57c63a488f |
class exitAction(QAction): <NEW_LINE> <INDENT> def __init__(self, parent): <NEW_LINE> <INDENT> super().__init__(QIcon('..\\icons\\circle-cross.svg'), MyStrings.actionExitPrettyName, parent) <NEW_LINE> self.setStatusTip(MyStrings.actionExitStatusTip) <NEW_LINE> self.setIconText(MyStrings.actionExitIconText) <NEW_LINE> s... | # Class: exitAction.
# Description: A PyQt5 action that closes the application and all the opened files. | 62598f876aa9bd52df0d49d9 |
class KNN(object): <NEW_LINE> <INDENT> def get_iris_data(self): <NEW_LINE> <INDENT> iris = load_iris() <NEW_LINE> iris_data = iris.data <NEW_LINE> iris_target = iris.target <NEW_LINE> return iris_data, iris_target <NEW_LINE> <DEDENT> def run(self): <NEW_LINE> <INDENT> iris_data, iris_target = self.get_iris_data() <NEW_... | 利用KNN算法对鸢尾花进行分类 | 62598f87379a373c97d98b15 |
class PathSet(set): <NEW_LINE> <INDENT> def __init__(self, iterable=None): <NEW_LINE> <INDENT> if iterable: <NEW_LINE> <INDENT> for value in iterable: <NEW_LINE> <INDENT> if not isinstance(value, Path): <NEW_LINE> <INDENT> raise TypeError("only accepts pathlib.Path objects") <NEW_LINE> <DEDENT> <DEDENT> super().__init_... | A class for containing a set of :class:`pathlib.Path` objects. | 62598f87d6c5a102081e1c4d |
class StateConnection(ImplicitComponent): <NEW_LINE> <INDENT> def setup(self): <NEW_LINE> <INDENT> self.add_input('y2_actual', 1.0) <NEW_LINE> self.add_output('y2_command', val=1.0) <NEW_LINE> <DEDENT> def apply_nonlinear(self, inputs, outputs, residuals): <NEW_LINE> <INDENT> y2_actual = inputs['y2_actual'] <NEW_LINE> ... | Define connection with an explicit equation. | 62598f87a79ad16197769b65 |
class ExampleWidget(QWidget): <NEW_LINE> <INDENT> def __init__(self, parent): <NEW_LINE> <INDENT> QWidget.__init__(self, parent=parent) <NEW_LINE> self.setWindowTitle("Example") <NEW_LINE> self.button = QPushButton('Current editor') <NEW_LINE> self.table = QTableWidget(self) <NEW_LINE> self.button.setIcon(ima.icon('spy... | Example widget.
Methods defined here should not be aware of spyder, but of the function
required by the widget only. | 62598f875f7d997b871f915a |
class PlotResource(ModelResource): <NEW_LINE> <INDENT> owners = fields.ManyToManyField(UserResource, 'owners') <NEW_LINE> def get_object_list(self, request): <NEW_LINE> <INDENT> object_list = self._meta.queryset <NEW_LINE> if request and hasattr(request, 'user'): <NEW_LINE> <INDENT> object_list = object_list.filter(own... | Api resource for tracktor.models.Plot
| 62598f8715baa72349461a81 |
class Options(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.output = None <NEW_LINE> self.resume = False <NEW_LINE> self.live = False <NEW_LINE> self.silent = False <NEW_LINE> self.force = False <NEW_LINE> self.quality = 0 <NEW_LINE> self.flexibleq = 0 <NEW_LINE> self.list_quality = False <N... | Options used when invoking the script from another Python script.
Simple container class used when calling get_media() from another Python
script. The variables corresponds to the command line parameters parsed
in main() when the script is called directly.
When called from a script there are a few more things to cons... | 62598f87fbf16365ca793bae |
class AuxToggleWidget(QtWidgets.QWidget): <NEW_LINE> <INDENT> def __init__(self, toggle_names, plot_widget): <NEW_LINE> <INDENT> super(AuxToggleWidget, self).__init__() <NEW_LINE> self.plot_widget = plot_widget <NEW_LINE> self.toggle_names = toggle_names <NEW_LINE> self.toggles = {} <NEW_LINE> self.__build_aux_toggle_w... | Creates a collection of auxiliary toggles
:type: QWidget | 62598f8707f4c71912baef47 |
class JobTitleSerializer(serializers.ModelSerializer): <NEW_LINE> <INDENT> job_tag = JobTagSerializer(many=True, required=True) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> model = JobTitle <NEW_LINE> fields = ('id', 'uid', 'program_id', 'category', 'title', 'level', 'description', 'status', 'job_tag', 'created_by', 'cre... | serializer for Job Title | 62598f873eb6a72ae038a134 |
class CountReleasesTest(OrloQueryTest): <NEW_LINE> <INDENT> INCLUSIVE_ARGS = {} <NEW_LINE> EXCLUSIVE_ARGS = {'user': 'non-existent'} <NEW_LINE> def test_count_releases(self): <NEW_LINE> <INDENT> self._create_finished_release() <NEW_LINE> result = orlo.queries.count_releases(**self.INCLUSIVE_ARGS).all() <NEW_LINE> self.... | Parent class for testing the CountReleases function
By subclassing it and overriding ARGS, we can test different combinations of arguments
with the same test code.
INCLUSIVE_ARGS represents a set of arguments that will match the releases created (see
the functions in OrloQueryTest for what those are)
EXCLUSIVE_ARGS r... | 62598f87d10714528d69d9d4 |
class DifferentiableBinomialModel(BinomialModel, DifferentiableModel): <NEW_LINE> <INDENT> def __init__(self, underlying_model): <NEW_LINE> <INDENT> if not isinstance(underlying_model, DifferentiableModel): <NEW_LINE> <INDENT> raise TypeError("Decorated model must also be differentiable.") <NEW_LINE> <DEDENT> BinomialM... | Extends :class:`BinomialModel` to take advantage of differentiable
two-outcome models. | 62598f8707f4c71912baef48 |
class CMFConfigParser(ConfigParser): <NEW_LINE> <INDENT> OPTCRE = re.compile( r'(?P<option>[]\-[ \w_.*,(){}]+)' r'[ \t]*(?P<vi>[:=])[ \t]*' r'(?P<value>.*)$' ) <NEW_LINE> def optionxform(self, optionstr): <NEW_LINE> <INDENT> return optionstr.strip() | This our wrapper around ConfigParser to
solve a few minor niggles with the code | 62598f87e76e3b2f99fd853b |
class AdaptableHeapPriorityQueue(HeapPriorityQueue): <NEW_LINE> <INDENT> class Locator(HeapPriorityQueue._Item): <NEW_LINE> <INDENT> __slots__ = "_index" <NEW_LINE> def __init__(self, k, v, j): <NEW_LINE> <INDENT> super().__init__(k, v) <NEW_LINE> self._index = j <NEW_LINE> <DEDENT> <DEDENT> def _swap(self, i, j): <NEW... | A locator-based priority queue implemented with a binary heap. Effort
to make better support for Locator is under way. | 62598f87d53ae8145f917f94 |
class Config(object): <NEW_LINE> <INDENT> SECRET_KEY = '876587326432uyrhietweryoi' <NEW_LINE> SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(base_dir, 'ndoo.db') | Defined database using Sqlite | 62598f87d6c5a102081e1c4f |
class DbModelMixin(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.mocked_session = None <NEW_LINE> <DEDENT> def set_up_mocks(self): <NEW_LINE> <INDENT> self.mocked_session = mock.Mock() <NEW_LINE> get_session = mock.patch('apicapi.tests.db.api.get_session').start() <NEW_LINE> get_session.retu... | Mock the DB models for the APIC driver and service unit tests. | 62598f87287bf620b62716ba |
class PullRequestMeta(object): <NEW_LINE> <INDENT> swagger_types = { 'merged': 'bool', 'merged_at': 'datetime' } <NEW_LINE> attribute_map = { 'merged': 'merged', 'merged_at': 'merged_at' } <NEW_LINE> def __init__(self, merged=None, merged_at=None): <NEW_LINE> <INDENT> self._merged = None <NEW_LINE> self._merged_at = No... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 62598f87435de62698e9b8fe |
@attr.s <NEW_LINE> class CreatedInstance(object): <NEW_LINE> <INDENT> path = attr.ib(type=Text) <NEW_LINE> type = attr.ib(type=InstanceType) <NEW_LINE> def ToDict(self): <NEW_LINE> <INDENT> return {'path': self.path, 'type': self.type.value} | Stores the path and type of the DICOM instance created.
Attributes:
path: The instance path.
type: Type of the created DICOM object. | 62598f8730dc7b766599f35d |
class ProductSerializer(serializers.HyperlinkedModelSerializer): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> model = ProductModel <NEW_LINE> url = serializers.HyperlinkedIdentityField( view_name='product', lookup_field='id' ) <NEW_LINE> fields = ('id', 'title', 'customer_id', 'customer', 'price', 'description',... | JSON serializer for Product
Arguments:
serializers | 62598f8738b623060ffa8b9b |
class Agent: <NEW_LINE> <INDENT> def __init__(self, api_result): <NEW_LINE> <INDENT> self._enlid = api_result["enlid"] <NEW_LINE> self._agent = api_result["agent"] <NEW_LINE> self._vlevel = api_result["vlevel"] <NEW_LINE> self._vpoints = api_result["vpoints"] <NEW_LINE> self._verified = api_result["verified"] <NEW_LINE... | Basic agent data.
It's ok to make this public, I think. | 62598f8750485f2cf55daa79 |
class Bib66x(db.Model): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> __tablename__ = 'bib66x' <NEW_LINE> id = db.Column(db.MediumInteger(8, unsigned=True), primary_key=True, autoincrement=True) <NEW_LINE> tag = db.Column(db.String(6), nullable=False, index=True, server_default=''... | Represents a Bib66x record. | 62598f870a366e3fb87dc4d4 |
class User(models.Model): <NEW_LINE> <INDENT> gender = ( ('male', '男'), ('female', '女'), ) <NEW_LINE> codename = models.CharField(max_length=128, unique=True, default='2016') <NEW_LINE> nickname = models.CharField(max_length=128, unique=False) <NEW_LINE> password = models.CharField(max_length=256) <NEW_LINE> email = mo... | 用户表 | 62598f87b57a9660fecd1582 |
class DataPool(object): <NEW_LINE> <INDENT> def __init__(self, **datafile): <NEW_LINE> <INDENT> self.default = { "duration" : "call_duration_g01.txt", "arrival": "call_arrival_g01.txt", "speed": "car_speed_g01.txt" } <NEW_LINE> self.default.update(datafile) <NEW_LINE> <DEDENT> @staticmethod <NEW_LINE> def read_input_fi... | Generate test dataset from supplied data for network simulation | 62598f87596a897236127778 |
class MPLinear(torch.nn.Module): <NEW_LINE> <INDENT> def __init__(self, input_size, output_size, factor_size): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.factor_size = factor_size <NEW_LINE> self.input_size = input_size <NEW_LINE> self.output_size = output_size <NEW_LINE> self.shared_weight = torch.nn.Param... | A linear layer with partitioned weights | 62598f870383005118f6d200 |
class TestCompound(BaseDataset): <NEW_LINE> <INDENT> def test_rt(self): <NEW_LINE> <INDENT> dt = np.dtype([ ('weight', np.float64), ('cputime', np.float64), ('walltime', np.float64), ('parents_offset', np.uint32), ('n_parents', np.uint32), ('status', np.uint8), ('endpoint_type', np.uint8), ]) <NEW_LINE> testdata = np.n... | Feature: Compound types correctly round-trip | 62598f87a05bb46b3848a37f |
class Cifar10MLDataset(MetricLearningTrainDataset, CIFAR10): <NEW_LINE> <INDENT> _split = 5 <NEW_LINE> classes = [ "0 - airplane", "1 - automobile", "2 - bird", "3 - cat", "4 - deer", ] <NEW_LINE> def __init__(self, **kwargs): <NEW_LINE> <INDENT> if "train" in kwargs: <NEW_LINE> <INDENT> if kwargs["train"] is False: <N... | Simple wrapper for CIFAR10 dataset for metric learning train stage.
This dataset can be used only for training. For test stage
use CIFAR10QGDataset.
For this dataset we use only training part of the CIFAR10 and only
those images that are labeled as 'airplane', 'automobile', 'bird', 'cat' and 'deer' | 62598f87f8510a7c17d7def9 |
class Type(dd.BabelNamed): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> verbose_name = _("Household Type") <NEW_LINE> verbose_name_plural = _("Household Types") | Type of a household.
http://www.belgium.be/fr/famille/couple/cohabitation/ | 62598f8782261d6c5272fc57 |
class nvs06: <NEW_LINE> <INDENT> @classmethod <NEW_LINE> def evaluate(cls, x): <NEW_LINE> <INDENT> assert(len(x)==2) <NEW_LINE> value = (0.1*((x[0])**2 + (1 + (x[1])**2)/(x[0])**2 + (100 + ((x[0])**2)*(x[1])**2)/(x[0]*x[1])**4) + 1.2) <NEW_LINE> return(value) <NEW_LINE> <DEDENT> dimension = 2 <NEW_LINE> var_lower = np.... | nvs06 function of the MINLPLib test set. | 62598f878a349b6b43685d4a |
class Meta: <NEW_LINE> <INDENT> model = PhoneNumber <NEW_LINE> fields = ('id', 'phone_number',) <NEW_LINE> list_serializer_class = CustomListSerializer | Meta class to map serializer's fields with model fields. | 62598f87d10714528d69d9d6 |
class Conditional: <NEW_LINE> <INDENT> _when = FieldAttribute(isa='list', default=[]) <NEW_LINE> def __init__(self, loader=None): <NEW_LINE> <INDENT> if not hasattr(self, '_loader'): <NEW_LINE> <INDENT> if loader is None: <NEW_LINE> <INDENT> raise AnsibleError("a loader must be specified when using Conditional() direct... | This is a mix-in class, to be used with Base to allow the object
to be run conditionally when a condition is met or skipped. | 62598f8707f4c71912baef49 |
class TestCounter(unittest.TestCase): <NEW_LINE> <INDENT> def setUp(self): <NEW_LINE> <INDENT> self._short_text = 'aaaa, bbbb' <NEW_LINE> self._short_file = StringIO(self._short_text) <NEW_LINE> self._words = ['aaaa', 'bbbb'] <NEW_LINE> self._result = [('ab', 3), ('ac', 2), ('b', 4), ('c', 1)] <NEW_LINE> self._output_f... | Test for counter | 62598f87a8ecb03325870d06 |
class FixtureRegistry(object): <NEW_LINE> <INDENT> __SPLIT_SUFFIX = '__split' <NEW_LINE> def __init__(self): <NEW_LINE> <INDENT> path = os.path.dirname(os.path.abspath(__file__)) <NEW_LINE> items = {} <NEW_LINE> for fixture in glob(os.path.join(path, 'fixtures', '*')): <NEW_LINE> <INDENT> name, _ = os.path.splitext(os.... | Fixtures holder for easier access in tests
Note it would return bytes in cp1251
as any reply from finam.ru export tool would do | 62598f87d53ae8145f917f95 |
class FilesList(object): <NEW_LINE> <INDENT> swagger_types = { 'value': 'list[StorageFile]' } <NEW_LINE> attribute_map = { 'value': 'Value' } <NEW_LINE> def __init__(self, value=None): <NEW_LINE> <INDENT> super(FilesList, self).__init__() <NEW_LINE> self._value = None <NEW_LINE> if value is not None: <NEW_LINE> <INDENT... | Files list
| 62598f87e64d504609df9134 |
class MyRegressor(nn.Module): <NEW_LINE> <INDENT> def __init__(self, num_units=10, nonlin=F.relu): <NEW_LINE> <INDENT> super(MyRegressor, self).__init__() <NEW_LINE> self.dense0 = nn.Linear(20, num_units) <NEW_LINE> self.nonlin = nonlin <NEW_LINE> self.dropout = nn.Dropout(0.5) <NEW_LINE> self.dense1 = nn.Linear(num_un... | Simple regression module. | 62598f871f5feb6acb162738 |
class MrvL3DeviceMap(SnmpPlugin): <NEW_LINE> <INDENT> maptype = "MrvL3DeviceMap" <NEW_LINE> snmpGetMap = GetMap({ '.1.3.6.1.4.1.629.6.10.75.1.1.5.1.0' : 'setHWProductKey', '.1.3.6.1.4.1.629.6.10.75.1.1.3.1.10.1' : 'setHWSerialNumber', '.1.3.6.1.4.1.629.6.10.75.1.1.3.1.6.1': 'setOSProductKey', }) <NEW_LINE> def process(... | Map mib elements from Mrv switch mib to get hw and os products.
| 62598f87097d151d1a2c0b2b |
@attr.s(cmp=False) <NEW_LINE> class BindingMixin: <NEW_LINE> <INDENT> bindings = {} <NEW_LINE> target = attr.ib() <NEW_LINE> name = attr.ib( validator=attr.validators.optional(attr.validators.instance_of(str))) <NEW_LINE> state = attr.ib(default=BindingState.idle, init=False) <NEW_LINE> def __attrs_post_init__(self): <... | Handles the binding and activation of drivers and their supplying resources
and drivers.
One client can be bound to many suppliers, and one supplier can be bound by
many clients.
Conflicting access to one supplier can be avoided by deactivating
conflicting clients before activation (using the resolve_conflicts
callba... | 62598f87596a897236127779 |
class EntityDelete(AuthMixin, generic.DeleteView): <NEW_LINE> <INDENT> def dispatch(self, request, *args, **kwargs): <NEW_LINE> <INDENT> self.model = get_model(**kwargs) <NEW_LINE> instance = get_model_instance(**kwargs) <NEW_LINE> app_title = get_app_name(**kwargs) <NEW_LINE> self.success_url = reverse_lazy( 'index', ... | Generic view for Delete operation | 62598f8750485f2cf55daa7a |
class TweetUpdateThread(threading.Thread): <NEW_LINE> <INDENT> def __init__(self, cli_object, function, waittime): <NEW_LINE> <INDENT> threading.Thread.__init__(self) <NEW_LINE> self.waittime = waittime <NEW_LINE> self.cli = cli_object <NEW_LINE> self.function = function <NEW_LINE> self.endme = False <NEW_LINE> self.co... | thread class to fetch tweets in the background | 62598f87b830903b9686e1f5 |
class CreateUserRequest(proto.Message): <NEW_LINE> <INDENT> user = proto.Field(proto.MESSAGE, number=1, message=User, ) | The request message for the
google.showcase.v1beta1.Identity\CreateUser method.
Attributes:
user (~.identity.User):
The user to create. | 62598f8773bcbd0ca4bc9d59 |
class SearchCell(nn.Module): <NEW_LINE> <INDENT> def __init__(self, n_nodes, C_pp, C_p, C, reduction_p, reduction, primitives): <NEW_LINE> <INDENT> super().__init__() <NEW_LINE> self.reduction = reduction <NEW_LINE> self.n_nodes = n_nodes <NEW_LINE> if reduction_p: <NEW_LINE> <INDENT> self.preproc0 = ops.FactorizedRedu... | Cell for search
Each edge is mixed and continuous relaxed. | 62598f87ec188e330fdf83a5 |
class Player: <NEW_LINE> <INDENT> def __init__(self, name, prof, maxhp, level, attack, defense = 5): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> self.life = 1 <NEW_LINE> self.attack = attack <NEW_LINE> self.defense = defense <NEW_LINE> self.hp = 100 <NEW_LINE> self.xp = 0 <NEW_LINE> <DEDENT> def level_up(self, leve... | You are the player | 62598f870a50d4780f704edf |
class SplashMiddleware(object): <NEW_LINE> <INDENT> def process_request(self, request): <NEW_LINE> <INDENT> config = SplashConfig.current() <NEW_LINE> if not config.enabled: <NEW_LINE> <INDENT> return <NEW_LINE> <DEDENT> if request.path_info in config.unaffected_url_paths_list: <NEW_LINE> <INDENT> return <NEW_LINE> <DE... | Checks incoming requests, to redirect users to a configured splash screen URL
if they don't have the proper cookie set
This can be used to display a small marketing landing page, protect an
alpha website from the public eye, make an announcement, etc. | 62598f878e05c05ec3f6ebcb |
class DataLoader(object): <NEW_LINE> <INDENT> def __init__(self, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, num_workers=0, collate_fn=default_collate, pin_memory=False, drop_last=False, timeout=0): <NEW_LINE> <INDENT> self.dataset = dataset <NEW_LINE> self.batch_size = batch_size <NEW_LINE>... | Data loader. Combines a dataset and a sampler, and provides
single- or multi-process iterators over the dataset.
Arguments:
dataset (Dataset): dataset from which to load the data.
batch_size (int, optional): how many samples per batch to load
(default: 1).
shuffle (bool, optional): set to ``True`` ... | 62598f87fbf16365ca793bb2 |
class ReactionSerializer(serializers.ModelSerializer): <NEW_LINE> <INDENT> user = UserSerializer(many=False) <NEW_LINE> created = DateTimeSerializer(many=False) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> model = ReactionModel <NEW_LINE> fields = ('user', 'reaction_id', 'reaction', 'created') | get data to be changed, fields that are not being changed should be blank. field being changed to blank should be null | 62598f87a4f1c619b294e0f4 |
class JSONPointerSyntaxError(JSONPointerError): <NEW_LINE> <INDENT> pass | Syntax error in a JSON Pointer path. | 62598f87a17c0f6771d5bd49 |
class MaisonTourismeSearch(RelationAwareSearch): <NEW_LINE> <INDENT> implements(ITableSearch) <NEW_LINE> searchableFields = ['Commune', 'Nom'] <NEW_LINE> searchFieldMapper = {'Nom': 'mais_nom', 'Commune': 'commune.com_nom'} <NEW_LINE> def __init__(self, context): <NEW_LINE> <INDENT> self.context = context | Searching into the MaisonTourisme | 62598f87f8510a7c17d7defa |
class DefaultRegisterUserSerializer( PasswordConfirmSerializerMixin, serializers.ModelSerializer): <NEW_LINE> <INDENT> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> user_class = get_user_model() <NEW_LINE> field_names = get_user_public_field_names(write_once=True) <NEW_LINE> read_only_field_names = get_user_... | Default serializer used for user registration. It will use these:
* User fields
* :ref:`user-hidden-fields-setting` setting
* :ref:`user-public-fields-setting` setting
to automagically generate the required serializer fields. | 62598f878a43f66fc4bf1c89 |
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